From ba915dc60d17e8e852165465332d19760040e731 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sun, 1 Aug 2021 15:22:03 -0400 Subject: [PATCH 01/42] upload package and examples --- pyomo/contrib/doe/DoE_package.py | 1810 +++++ pyomo/contrib/doe/dynamic.csv | 5 + pyomo/contrib/doe/fim_5_300_500_scale.csv | 5 + pyomo/contrib/doe/fim_5_300_scale.csv | 5 + pyomo/contrib/doe/reactor_control_doe.ipynb | 7215 +++++++++++++++++++ pyomo/contrib/doe/reactor_models.py | 554 ++ pyomo/contrib/doe/test_heatmap.csv | 82 + 7 files changed, 9676 insertions(+) create mode 100644 pyomo/contrib/doe/DoE_package.py create mode 100644 pyomo/contrib/doe/dynamic.csv create mode 100644 pyomo/contrib/doe/fim_5_300_500_scale.csv create mode 100644 pyomo/contrib/doe/fim_5_300_scale.csv create mode 100644 pyomo/contrib/doe/reactor_control_doe.ipynb create mode 100644 pyomo/contrib/doe/reactor_models.py create mode 100644 pyomo/contrib/doe/test_heatmap.csv diff --git a/pyomo/contrib/doe/DoE_package.py b/pyomo/contrib/doe/DoE_package.py new file mode 100644 index 00000000000..d7b4b788150 --- /dev/null +++ b/pyomo/contrib/doe/DoE_package.py @@ -0,0 +1,1810 @@ +import numpy as np +import matplotlib.pyplot as plt +from matplotlib.patches import Ellipse +import matplotlib.transforms as transforms +from scipy.stats import chi2 +from pyomo.environ import * +from pyomo.dae import * +import pandas as pd +import time +import os +import pickle +import csv +#import idaes +#from pyomo.contrib.sensitivity_toolbox.sens import sipopt +from pyomo.contrib.sensitivity_toolbox.sens import sensitivity_calculation + + +class DesignOfExperiments: + def __init__(self, param_init, design_variable_timepoints, measurement_variables, measurement_timeset, create_model, solver=None, + prior_FIM=None, discretize_model=None, verbose=True): + ''' + This package solves DOE by optimization, and enumeration. + Optimization feature can solve dynamic or static models, while enumeration only solves static models where design variables are constant throughout the experiment. + They both support integrating with Pyomo.DAE. + + param_init: a dictionary of parameter names and values. If they are an indexed variable, put the variable name and index, such as 'theta["A1"]'. Note: if sIPOPT is used, parameter shouldn't be indexed. + design_variable_timepoints: a dictionary, keys are design variable names, values are its control time points. + if this design var is independent of time (constant), set the time to [0] + measurement_variables: the variable name of the model output, for e.g., ['CA', 'CB', 'CC']. + measurement_timeset: a list of measurement time points. can be different from control time points + create_model: a function that returns the model, where: + - parameter and design variables are defined as variables + - define every state variables dependent on parameters with a scenario index + - take scenarios as the first argument of this function + - define time index as 't'. + - design variables are defined with and only with a time index. + solver: User specified solver, default=None. If not specified, default solver is IPOPT MA57. + prior_FIM: Fisher information matrix (FIM) for prior experiments, default=None + discretize_model: A user-specified function that deiscretizes the model. Only use with Pyomo.DAE, default=None + verbose: if print statements are made + ''' + + # parameters + self.param_init = param_init + self.param = list(param_init.keys()) + self.param_v = list(param_init.values()) + # design variable name + self.design_timeset = design_variable_timepoints + self.dv_name = list(self.design_timeset.keys()) + # the control time point for each design variable + self.dv_time = list(self.design_timeset.values()) + # model output (measurement) name + self.measurement_variables = measurement_variables + # model measurement time + self.measurement_timeset = measurement_timeset + # create_model() + self.create_model = create_model + # check if user-defined solver is given + if solver is not None: + self.solver = solver + # if not given, use default solver + else: + self.solver = self.__solve_with_default_ipopt() + + # check if discretization is needed + self.discretize_model = discretize_model + + # check if there is prior info + self.prior_FIM = prior_FIM + + # if print statements + self.verbose = verbose + + def __check_inputs(self, check_mode=False, check_dimension_dv=False): + '''Check if inputs are consistent + + Parameters + ---------- + check_mode: check FIM calculation mode + check_dimension_dv: if the number of design variable is checked for heatmap + ''' + if self.obj_opt not in ['det', 'trace', 'zero']: + raise ValueError('Error: Objective function should be chosen from "det", "zero" and "trace"') + + if self.formula not in ['central', 'forward', 'backward', None]: + raise ValueError('Error: Finite difference scheme should be chosen from "central", "forward", "backward" and "none".') + + if self.prior_FIM is not None: + assert (np.shape(self.prior_FIM)[0] == np.shape(self.prior_FIM)[1]), 'Prior information should be a n*n matrix.' + + if self.scale_nominal_param_value: + print('Sensitivity information is scaled by its corresponding parameter nominal value.') + + if (self.scale_constant_value != 1): + print('Sensitivity information is scaled by constant ', self.scale_constant_value, ' times itself.') + + if check_mode: + # finite or sipopt needs to be chosen + if self.mode not in ['simultaneous_finite', 'sequential_finite', 'sequential_sipopt', 'sequential_kaug']: + print('Wrong mode. Choose from "simultaneous_finite", "sequential_finite", "0sequential_sipopt", "sequential_kaug"') + + if check_dimension_dv: + # input check, only for heatmap + # check if there are two design variables and two ranges + if not len(self.dv_ranges.keys()) == 2: + raise ValueError('Deign variable should be 2') + + + + def optimize_doe(self, design_values, if_optimize=True, obj_opt='det', + scale_nominal_param_value=False, scale_constant_value=1, if_cho=False, L_LB = 1E-10, L_initial=None, + formula='central', step=0.001, check=True): + ''' + Optimize DOE problem with design variables being the decisions. + The DOE model is formed invasively and all scenarios are computed simultaneously. + The function will first fun a square problem with design variable being fixed at + the given initial points, and then unfix the design variable and do the + optimization. + + Args: + design_values: initial point for optimization, a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point + if_optimize: if True, continue to do optimization. else, just run square problem with given design variable values + obj_opt: choose from 'det' and 'trace' + scale_nominal_param_value: if scale Jacobian by the corresponding parameter nominal value + scale_constant_value: how many order of magnitudes the Jacobian value is magnified by. Use when the Jac or FIM value is too small + if_cho: if true, cholesky decomposition is used for Objective function (to optimize determinant). + L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 + L_initial: initialize the L + formula: Finite difference formula, choose from 'central', 'forward', 'backward', None + step: Finite difference sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + check: if True check input toggles consistency to be checked multiple times. + + Returns: + analysis_square: result summary of the square problem solved at the initial point + analysis_optimize: result summary of the optimization problem solved + ''' + + # store inputs in object + self.design_values = design_values + self.optimize = if_optimize + self.obj_opt = obj_opt + self.scale_nominal_param_value = scale_nominal_param_value + self.scale_constant_value = scale_constant_value + self.cho_opt = if_cho + self.L_LB = L_LB + self.L_initial = L_initial + self.formula = formula + self.step = step + self.tee_opt = True + + # calculate how much the FIM element is magnified + # FIM = Q.T@Q, the FIM is scaled by squared value the Jacobian is scaled + self.fim_scale_constant_value = self.scale_constant_value **2 + + # check if inputs are valid + # simultaneous mode does not need to check mode and dimension of design variables + if check: + self.__check_inputs(check_mode=False, check_dimension_dv=False) + + # build the large DOE pyomo model + m = self.__create_doe_model() + + # solve model, achieve results for square problem, and results for optimization problem + + # Solve square problem first + # result_square: solver result + result_square = self.__solve_doe(m, fix=True) + + analysis_square = FIM_result(self.param, prior_FIM=self.prior_FIM, scale_constant_value=self.scale_constant_value) + analysis_square.extract_FIM(m, self.design_timeset, result_square, obj=obj_opt) + + if self.optimize: + # solve problem with DOF then + result_doe = self.__solve_doe(m, fix=False) + + analysis_optimize = FIM_result(self.param, prior_FIM=self.prior_FIM) + analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, obj=obj_opt) + + return analysis_square, analysis_optimize + + else: + return analysis_square + + + def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=None, specified_prior=None, + tee_opt=True, scale_nominal_param_value=False, scale_constant_value=1, formula='central', step=0.01, + if_Cho=False, L_LB=1E-10, L_initial=None): + ''' + This function solves a square Pyomo model with fixed design variables to compute the FIM. + The problem is structured in one of the four following modes: + 1, simultaneous_finite: Calculate a multiple scenario model. Sensitivity info estimated by finite difference + 2, sequential_finite: Calculates a one scenario model multiple times for + multiple scenarios. Sensitivity info estimated by finite difference + 3, sequential_sipopt: calculate sensitivity by sIPOPT. + 4, sequential_kaug: calculate sensitivity by k_aug + + Argument: + General: + design_values: a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point + mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' + FIM_store_name: if storing the FIM in a .csv, give the file name here as a string, '**.csv' or '**.txt'. + specified_prior: if user needs a different prior, replace this toggle without creating a new object + tee_opt: if IPOPT console output is printed + scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init + scale_constant_value: how many order of magnitudes the Jacobian value is magnified by. Use when the Jac or FIM value is too small + + Only effective when finite=True: + formula: choose from 'central', 'forward', 'backward', None + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + + Cholesky option: + if_Cho: if true, Cholesky decomposition is used for Objective function (to optimize determinant). + L_LB: if FIM is positive definite, the diagonal element should be positive, so we can set a LB like 1E-10 + L_initial: initialize the L + + Return: + FIM_analysis: result summary object of this solve + ''' + # save inputs in object + self.design_values = design_values + self.mode = mode + self.scale_nominal_param_value = scale_nominal_param_value + self.scale_constant_value = scale_constant_value + self.formula = formula + self.step = step + + # This method only solves square problem + self.optimize = False + # Set the OF to 0 helps solve square problem quickly + self.obj_opt = 'zero' + self.tee_opt = tee_opt + + self.cho_opt = if_Cho + self.L_LB = L_LB + self.L_initial = L_initial + + # calculate how much the FIM element is magnified + # As FIM~Q.T@Q, FIM is scaled twice the number the Q is scaled + self.fim_scale_constant_value = self.scale_constant_value ** 2 + + # check inputs valid + self.__check_inputs(check_mode=True, check_dimension_dv=False) + + # if using simultaneous model + if (self.mode == 'simultaneous_finite'): + m = self.__create_doe_model() + + # solve model, achieve results for square problem, and results for optimization problem + square_result = self.__solve_doe(m, fix=True) + + # analyze results + if specified_prior is None: + prior_in_use = self.prior_FIM + else: + prior_in_use = specified_prior + + FIM_analysis = FIM_result(self.param, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + + # add the formed simultaneous model to the object so that users can have access + self.m = m + self.square_result = square_result + + return FIM_analysis + + elif self.mode=='sequential_finite': + no_para = len(self.param) + + # if using sequential model + # call generator function to get scenario dictionary + scena_gen = Scenario_generator(self.param_init, formula=self.formula, step=self.step) + scena_gen.generate_sequential_para() + + # dict for storing model outputs + output_record = {} + # dict for storing Jacobian + jac = {} + + # loop over each scenario + for no_s in (scena_gen.scena_keys): + + scenario_iter = scena_gen.next_sequential_scenario(no_s) + # create the model + # TODO:(long term) add options to create model once and then update. only try this after the + # package is completed and unitest is finished + mod = self.create_model(scenario_iter) + + # discretize if needed + if self.discretize_model is not None: + mod = self.discretize_model(mod) + + # extract (discretized) time + time_set = [] + for t in mod.t: + time_set.append(value(t)) + + # solve model + square_result = self.__solve_doe(mod, fix=True) + + # loop over measurement item and time to store model measurements + output_combine = [] + for j in self.measurement_variables: + for t in self.measurement_timeset: + C_value = eval('mod.' + j + '[0,' + str(t) + ']') + output_combine.append(value(C_value)) + output_record[no_s] = output_combine + + # After collecting outputs from all scenarios, calculate sensitivity + for para in self.param: + # extract involved scenario No. for each parameter from scenario class + involved_s = scena_gen.scenario_para[para] + # each parameter has two involved scenarios + s1 = involved_s[0] + s2 = involved_s[1] + list_jac = [] + for i in range(len(output_record[s1])): + if self.scale_nominal_param_value: + sensi = (output_record[s1][i] - output_record[s2][i]) / scena_gen.eps_abs[para] *self.param_init[para] *self.scale_constant_value + else: + sensi = (output_record[s1][i] - output_record[s2][i]) / scena_gen.eps_abs[para]*self.scale_constant_value + list_jac.append(sensi) + # get Jacobian dict, keys are parameter name, values are sensitivity info + jac[para] = list_jac + + + # analyze results + if specified_prior is None: + prior_in_use = self.prior_FIM + else: + prior_in_use = specified_prior + + FIM_analysis = FIM_result(self.param, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + + # add jacobian info to the object so that users can have access + self.jac = jac + + return FIM_analysis + + + elif self.mode=='sequential_sipopt': + # create scenario class for a base case + scena_gen = Scenario_generator(self.param_init, formula=None, step=self.step) + scenario_all = scena_gen.simultaneous_scenario() + + # sipopt only uses backward difference scheme + # store measurements for scenarios + all_perturb_measure = [] + all_base_measure = [] + # store jacobian info + jac={} + + # loop over parameters + for pa in range(len(self.param)): + perturb_mea = [] + base_mea = [] + + # create model + mod = self.create_model(scenario_all) + + # discretize if needed + if self.discretize_model is not None: + mod = self.discretize_model(mod) + + # fix model DOF + mod = self.__fix_design(mod, self.design_values, fix_opt=True) + + # extract (discretized) time + time_set = [] + for t in mod.t: + time_set.append(value(t)) + + # add sIPOPT perturbation parameters + mod = self.__add_para(mod, perturb=pa) + + # parameter name lists for sipopt + list_original = [] + list_perturb = [] + for ele in self.param: + list_original.append(eval('mod.'+ele+'[0]')) + for elem in self.perturb_names: + list_perturb.append(eval('mod.'+elem+'[0]')) + + # solve model + m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=self.tee_opt) + # TODO: add k_aug solver + #m_sipopt = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=True) + + # extract sipopt result + for j in self.measurement_variables: + for t in self.measurement_timeset: + # fetch the measurement variable + measure_var = getattr(m_sipopt,j) + # check if this variable is fixed + if (measure_var[0,t].fixed == True): + perturb_value = value(measure_var[0,t]) + #if self.verbose: + # print(measure_var[0, t], ' is fixed') + + else: + # if it is not fixed, record its perturbed value + perturb_value = eval('m_sipopt.sens_sol_state_1[m_sipopt.' + j + '[0,' + str(t) + ']]') + perturb_mea.append(perturb_value) + + # base case values + base_value = eval('m_sipopt.'+j+'[0,' + str(t) + '].value') + base_mea.append(base_value) + # store extracted measurements + all_perturb_measure.append(perturb_mea) + all_base_measure.append(base_mea) + + + # After collecting outputs from all scenarios, calculate sensitivity + for count, para in enumerate(self.param): + list_jac = [] + for i in range(len(all_perturb_measure[0])): + if self.scale_nominal_param_value: + sensi = -(all_perturb_measure[count][i] - all_base_measure[count][i]) / self.step * self.scale_constant_value + else: + sensi = -(all_perturb_measure[count][i] - all_base_measure[count][i]) / self.step /self.param_init[para] * self.scale_constant_value + list_jac.append(sensi) + # get Jacobian dict, keys are parameter name, values are sensitivity info + jac[para] = list_jac + + # analyze results + if specified_prior is None: + prior_in_use = self.prior_FIM + else: + prior_in_use = specified_prior + + # analyze results + FIM_analysis = FIM_result(self.param, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + + self.jac = jac + #self.square_result = None + + return FIM_analysis + + + def sequential_exp(self, design_values_set, mode='sequential_finite', tee_option=False, + scale_nominal_param_value=False, scale_constant_value=1, + formula='central', step=0.001): + ''' + Run a series of experiments sequentially, and use the FIM from one experiment as the prior information for the next experiment + Args: + design_values_set: a list of experiments, each element is one design_values dictionary + mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' + tee_option: if IPOPT console output is printed + scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init + scale_constant_value: how many order of magnitudes the Jacobian value is magnified by. Use when the Jac or FIM value is too small + formula: choose from 'central', 'forward', 'backward', None + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + + Returns: + result_obj_list: a list of the result summary objects of every experiment + fim_list: a list of the FIM of every experiment + ''' + # how many exps to run in a row + self.no_exp = len(design_values_set) + self.design_values_set = design_values_set + self.formula = formula + self.mode = mode + self.scale_nominal_param_value = scale_nominal_param_value + self.scale_constant_value = scale_constant_value + self.obj_opt = 'det' + + # calculate how much the FIM element is magnified + self.fim_scale_constant_value = self.scale_constant_value ** 2 + + self.__check_inputs(check_mode=True, check_dimension_dv=False) + + # store all results object list + result_object_list = [] + # store all FIM + fim_list = [] + # loop over experiments + for i in range(self.no_exp): + print('========This is the No.', i, ' experiment.========') + if self.verbose: + print('Design variables:', self.design_values_set[i]) + + # call compute_FIM to get FIM + if i==0: + prior_in_use = self.prior_FIM + else: + prior_in_use = fim_list[i-1] + + # run the experiment with compute_FIM + result_iter = self.compute_FIM(self.design_values_set[i], mode=self.mode, specified_prior=prior_in_use, + tee_opt=tee_option, + scale_nominal_param_value=self.scale_nominal_param_value, + formula=formula, step=step) + + if (self.mode == 'simultaneous_finite'): + result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.obj_opt, add_fim=True) + + elif (self.mode in ['sequential_finite', 'sequential_sipopt']): + result_iter.calculate_FIM(self.jac, self.design_values) + + # attach these results to the store list + result_object_list.append(result_iter) + fim_list.append(result_iter.FIM) + + return result_object_list, fim_list + + def run_grid_search(self, design_values, dv_ranges, dv_apply_time, mode='sequential_finite', + tee_option=False, scale_nominal_param_value=False, scale_constant_value=1, + filename=None, formula='central', step=0.001): + ''' + Enumerate through full factorial grid search for two design variables; + solve square problems sequentially to compute FIMs. + It calculates FIM with sensitivity information from four ways: + 1, Simultaneous: Calculate a multiple scenario model. Sensitivity info estimated by finite difference + 2, Sequential_ipopt: Calculates a one scenario model multiple times for + multiple scenarios. Sensitivity info estimated by finite difference + 3, Sequential_sipopt: calculate sensitivity by sIPOPT. + 4, Sequential_kaug: calculate sensitivity by k_aug + + Argument: + General: + design_values: a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point + dv_ranges: a dict whose keys are design variable names, values are a list of design variable values to go over + dv_apply_time: a dict whose keys are design variable names, values are a list of control time points that + should be fixed to the values in dv_ranges + mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' + tee_option: if IPOPT console output is made + scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init + scale_constant_value: how many order of magnitudes the Jacobian value is magnified by. Use when the Jac or FIM value is too small + filename: if True, grid search results stored with this file name + + Only effective when finite=True: + formula: choose from 'central', 'forward', 'backward', None + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + + Return: + result_combine: a list of dictionaries, which stores the FIM info from every grid searched. + ''' + self.dv_ranges = dv_ranges + self.dv_apply_time = dv_apply_time + self.formula = formula + self.mode = mode + # it can be det or trace as it is not optimizing now. put it here for the check_inputs() + self.scale_nominal_param_value = scale_nominal_param_value + self.scale_constant_value = scale_constant_value + self.obj_opt='det' + self.filename = filename + + # calculate how much the FIM element is magnified + self.fim_scale_constant_value = self.scale_constant_value ** 2 + + self.__check_inputs(check_mode=True, check_dimension_dv=True) + + # when defining design space, design variable values are defined as in design_values argument + # the design var value defined in dv_ranges only applies to control time points given in dv_apply_time + self.dv_control_times = list(dv_apply_time.values()) + + # to store all FIM results + result_combine = [] + + # time 0 + t_begin = time.time() + + # iteration 0 + count = 0 + # how many sets of design variables will be run + total_count = len(dv_ranges[self.dv_name[0]]) * len(dv_ranges[self.dv_name[1]]) + + # loop over design variables + for i, value_0 in enumerate(dv_ranges[self.dv_name[0]]): + for j, value_1 in enumerate(dv_ranges[self.dv_name[1]]): + # generate the design variable dictionary needed for running compute_FIM + design_iter = {} + + # first copy value from design_Values + dv_iter1 = design_values[self.dv_name[0]].copy() + dv_iter2 = design_values[self.dv_name[1]].copy() + + # for timepoints given in dv_apply_times, change its value to be the ones in dv_ranges to go over + for t, tim in enumerate(self.dv_control_times[0]): + dv_iter1[tim] = value_0 + design_iter[self.dv_name[0]] = dv_iter1 + + for t, tim in enumerate(self.dv_control_times[1]): + dv_iter2[tim] = value_1 + design_iter[self.dv_name[1]] = dv_iter2 + + print('=======This is the ', count+1, 'th iteration=======') + print('Design variable values of this iteration:', design_iter) + + t_each_begin = time.time() + + # call compute_FIM to get FIM + result_iter = self.compute_FIM(design_iter, mode=self.mode, + tee_opt=tee_option, + scale_nominal_param_value=self.scale_nominal_param_value, + formula=formula, step=step) + + if (self.mode=='simultaneous_finite'): + result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.obj_opt) + + elif (self.mode == 'sequential_finite'): + result_iter.calculate_FIM(self.jac, self.design_values) + + elif (self.mode == 'sequential_sipopt'): + result_iter.calculate_FIM(self.jac, self.design_values) + + t_now = time.time() + + if self.verbose: + # give run information at each iteration + print('This is the ', count+1, ' run out of ', total_count, 'run.') + print('The code has run %.04f seconds.'% (t_now-t_begin)) + print('Estimated remaining time: %.4f seconds' % ((t_now-t_begin)/(count+1)*(total_count-count-1))) + count += 1 + + result_combine.append(result_iter) + + t_end = time.time() + print('The whole run takes ', t_end - t_begin, ' s.') + + # store results + if self.filename is not None: + f = open(filename, 'wb') + pickle.dump(result_combine, f) + f.close() + + return result_combine + + def sensitivity_analysis_1D(self, design_values, design_var_range, sensitivity_step=0.1, compare_opt='D', + mode='sequential_finite', tee_option=False, + scale_nominal_param_value=False, scale_constant_value=1, + formula='central', step=0.001): + ''' + This method is used for 1D sensitivity analysis. + TODO: Let's decide if we are gonna keep this. This seems not necessary to this package. + Args: + design_values: a dict whose keys are design variable names, + values are a dict whose keys are time point and values are the design variable value at that time point + design_var_range: a dict, the key is the design variable name to conduct analysis, + the value is a list [Lower bound, Upper bound] for this sensitivity analysis + sensitivity_step: the interval of the design range. For e.g., 0.2 in [2,3], then design variable is computed at [2,2.2,2.4,2.6,2.8] + compare_opt: which design criteria is to compare. Choose from 'A', 'D', 'E', 'ME' + mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' + tee_option: if IPOPT console output is printed + scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init + scale_constant_value: how many order of magnitudes the Jacobian value is magnified by. Use when the Jac or FIM value is too small + formula: choose from 'central', 'forward', 'backward', None + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + + Returns: + result_list: a list of the specified optimality value + ''' + + self.design_values = design_values + self.formula = formula + self.mode = mode + self.scale_nominal_param_value = scale_nominal_param_value + self.scale_constant_value = scale_constant_value + self.obj_opt = 'zero' + + # calculate how much the FIM element is magnified + self.fim_scale_constant_value = self.scale_constant_value ** 2 + + self.__check_inputs(check_mode=True, check_dimension_dv=False) + + # get the name and the range of the design variable to conduct analysis + vary_dv_name = list(design_var_range.keys()) + vary_range_list = list(design_var_range.values()) + vary_range = np.arange(vary_range_list[0][0], vary_range_list[0][1], step=sensitivity_step) + if self.verbose: + print('Sensitivity analysis is for ', vary_dv_name, ' at the range ', vary_range_list) + print('At the points:', vary_range) + + dv_time_set = list(design_values[vary_dv_name[0]].keys()) + + # store the criteria value of every run + result_list= [] + # loop over the test points + for i in range(len(vary_range)): + if self.verbose: + print('This is the ',i,'-th iteration') + design_value_list = design_values.copy() + for t in dv_time_set: + design_value_list[vary_dv_name[0]][t] = vary_range[i] + if self.verbose: + print('Design variables for this run:', design_value_list) + + # compute square problems + result_iter = self.compute_FIM(design_value_list, mode=self.mode, + tee_opt=tee_option, + scale_nominal_param_value=self.scale_nominal_param_value, + formula=formula, step=step) + + if (self.mode == 'simultaneous_finite'): + result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.obj_opt) + + elif (self.mode in ['sequential_finite','sequential_sipopt']): + result_iter.calculate_FIM(self.jac, self.design_values) + + # decide which design criteria is the user asked for + if compare_opt == 'A': + result_list.append(result_iter.trace) + + elif compare_opt =='D': + result_list.append(result_iter.det) + + elif compare_opt =='E': + result_list.append(result_iter.min_eig) + + elif compare_opt =='ME': + result_list.append(result_iter.cond) + + sensi_result_dict = {} + for i in range(len(result_list)): + sensi_result_dict[vary_range[i]] = result_list[i] + + if self.verbose: + print('The result list:', result_list) + return sensi_result_dict + + + def __create_doe_model(self): + ''' + Add features for DOE. + + Information needed from self object: + self.measurement_variables: the variable name of the model output, for e.g., ['CA', 'CB', 'CC']. + self.measurement_timeset: a list of measurement time points. can be different from control time points + self.design_values: a dict of dictionaries, keys are the name of design variables, values are a dict where keys are the time points, values are the design variable value at that time point + + DoE options: + self.optimize: if True, solve the problem unfixing the design variables. if False, solve the problem as a + square problem + self.obj_opt: choose from 'det' or 'trace'. Optimization problem maximizes determinant or trace. + self.scale_nominal_param_value: if True, scale FIM but not scale Jacobian. This toggle can be opened for better performance when the + problem is poorly scaled. + self.tee_opt: if True, print IPOPT console output + self.cho_opt: if true, cholesky decomposition is used for Objective function (to optimize determinant). If true, determinant will not be calculated. + self.L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 + self.L_initial: initialize the L + self.formula: choose from 'central', 'forward', 'backward', None + self.step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + + Return: + m: the solved DOE model + ''' + # call generator function to get scenario dictionary + scena_gen = Scenario_generator(self.param_init, formula=self.formula, step=self.step, store=True) + scenario_all = scena_gen.simultaneous_scenario() + + # create model + m = self.create_model(scenario_all) + # discretize if discretization function is provided + if self.discretize_model is not None: + m = self.discretize_model(m) + + # extract (discretized) time + time_set=[] + for t in m.t: + time_set.append(value(t)) + + # create parameter, measurement, time and measurement time set + m.para_set = Set(initialize=self.param) + param_name = self.param + m.y_set = Set(initialize=self.measurement_variables) + m.t_set = Set(initialize=time_set) + m.tmea_set = Set(initialize=self.measurement_timeset) + + # we can be sure about the name of scenarios, because they are generated by our function + m.scenario = Set(initialize=scenario_all['scena-name']) + m.optimize = self.optimize + + # check if measurement time points are in the time set + for t in m.tmea_set: + if not (t in m.t): + raise ValueError('Warning: Measure timepoints should be in the time list.') + + # check if control time points are in the time set + for d in range(len(self.dv_name)): + for t in self.dv_time[d]: + if not (t in m.t): + raise ValueError('Warning: Control timepoints should be in the time list.') + + ### Define variables + # Elements in Jacobian matrix + m.jac = Var(m.y_set, m.para_set, m.tmea_set, initialize=1E-20) + + # Initialize Hessian with an identity matrix + def identity_matrix(m,j,d): + if j==d: + return 1 + else: + return 0 + m.FIM = Var(m.para_set, m.para_set, initialize=identity_matrix) + + if self.obj_opt=='trace': + # Trace of FIM + m.trace = Var(initialize=1, within=NonNegativeReals) + elif self.obj_opt=='det': + # Determinant of FIM + m.det = Var(initialize=0.5, within=NonNegativeReals) + elif (self.obj_opt != 'zero'): + raise ValueError('Undefined objective function type. Available options are "trace" and "det".') + + + if self.L_initial is not None: + dict_cho={} + for i, bu in enumerate(m.para_set): + for j, un in enumerate(m.para_set): + dict_cho[(bu,un)] = self.L_initial[i][j] + + def init_cho(m,i,j): + return dict_cho[(i,j)] + + if self.cho_opt: + # Define elements of Cholesky decomposition matrix as Pyomo variables and either + # Initialize with L in L_initial + if self.L_initial is not None: + m.L_ele = Var(m.para_set, m.para_set, initialize=init_cho) + # or initialize with the identity matrix + else: + m.L_ele = Var(m.para_set, m.para_set, initialize=identity_matrix) + + # loop over parameter name + for c in m.para_set: + for d in m.para_set: + # fix the 0 half of L matrix to be 0.0 + if (param_name.index(c) < param_name.index(d)): + m.L_ele[c,d].fix(0.0) + # Give LB to the diagonal entries + if self.L_LB is not None: + if c==d: + m.L_ele[c,d].setlb(self.L_LB) + + + def jac_numerical(m,j,p,t): + ''' + Calculate the Jacobian + j: model responses + p: model parameters + t: timepoints + ''' + # A better way to do this: + # https://github.com/IDAES/idaes-pse/blob/274e58bef55f2f969f0df97cbb1fb7d99342388e/idaes/apps/uncertainty_propagation/sens.py#L296 + + up_C = eval('m.'+j+'['+str(scenario_all['jac-index'][p][0])+','+str(t)+']') + lo_C = eval('m.'+j+'['+str(scenario_all['jac-index'][p][1])+','+str(t)+']') + + return m.jac[j,p,t] == (up_C - lo_C)/scenario_all['eps-abs'][p] *self.scale_constant_value + + #A constraint to calculate elements in Hessian matrix + # transfer prior FIM to be Expressions + dict_fele={} + for i, bu in enumerate(m.para_set): + for j, un in enumerate(m.para_set): + dict_fele[(bu,un)] = self.prior_FIM[i][j] + + def ele_todict(m,i,j): + return dict_fele[(i,j)] + m.refele = Expression(m.para_set, m.para_set, rule=ele_todict) + + def calc_FIM(m,j,d): + ''' + Calculate FIM elements + ''' + # check if scale + if self.scale_nominal_param_value: + return m.FIM[j,d] == sum(sum(m.jac[z,j,i]*self.param_init[j]*self.param_init[d]*m.jac[z,d,i] for z in m.y_set) for i in m.tmea_set) + m.refele[j, d]*self.fim_scale_constant_value + else: + return m.FIM[j,d] == sum(sum(m.jac[z,j,i]*m.jac[z,d,i] for z in m.y_set) for i in m.tmea_set) + m.refele[j, d]*self.fim_scale_constant_value + + def trace_calc(m): + ''' + Calculate FIM elements. Can magnify each element with 1000 for performance + ''' + sum_x = 0 + for j in m.para_set: + for d in m.para_set: + if d==j: + sum_x += m.FIM[j,d] + return m.trace == sum_x + + def det_general(m): + '''Calculate determinant. Can be applied to FIM of any size. + det(A) = sum_{\sigma \in \S_n} (sgn(\sigma) * \Prod_{i=1}^n a_{i,\sigma_i}) + Use permutation() to get permutations, sgn() to get signature + ''' + r_list = list(range(len(m.para_set))) + # get all permutations + object_p = permutations(r_list) + list_p = list(object_p) + + # generate a name_order to iterate \sigma_i + det_perm = 0 + for i in range(len(list_p)): + name_order = [] + x_order = list_p[i] + # sigma_i is the value in the i-th position after the reordering \sigma + for x in range(len(x_order)): + for y, element in enumerate(m.para_set): + if x_order[x] == y: + name_order.append(element) + + # det(A) = sum_{\sigma \in \S_n} (sgn(\sigma) * \Prod_{i=1}^n a_{i,\sigma_i}) + det_perm = sum( sgn(list_p[d])*sum(m.FIM[each, name_order[b]] for b, each in enumerate(m.para_set)) for d in range(len(list_p))) + return m.det == det_perm + + + def cholesky_imp(m,c,d): + ''' + Calculate Cholesky L matrix using algebraic constraints + ''' + # If it is the left bottom half of L + if (param_name.index(c)>=param_name.index(d)): + return m.FIM[c,d] == sum(m.L_ele[c, param_name[k]]*m.L_ele[d, param_name[k]] for k in range(param_name.index(d)+1)) + else: + # This is the empty half of L above the diagonal + return Constraint.Skip + + + ### Constraints and OF + m.dC_value = Constraint(m.y_set, m.para_set, m.tmea_set, rule=jac_numerical) + m.ele_rule = Constraint(m.para_set, m.para_set, rule=calc_FIM) + + # Only giving OF when there's DOF. Make OBJ=0 when it's a square problem, which helps converge. + if self.optimize: + # if cholesky, calculating L and evaluate the OBJ with Cholesky decomposition + if self.cho_opt: + m.cholesky_cons = Constraint(m.para_set, m.para_set, rule=cholesky_imp) + m.obj = Objective(expr=2*sum(log(m.L_ele[j,j]) for j in m.para_set), sense=maximize) + # if not cholesky but determinant, calculating det and evaluate the OBJ with det + elif (self.obj_opt=='det'): + m.det_rule = Constraint(rule=det_general) + m.obj = Objective(expr=log(m.det), sense=maximize) + # if not determinant or cholesky, calculating the OBJ with trace + elif (self.obj_opt=='trace'): + m.trace_rule = Constraint(rule=trace_calc) + m.obj = Objective(expr=log(m.trace), sense=maximize) + elif (self.obj_opt=='zero'): + m.obj = Objective(expr=0) + else: + m.obj = Objective(expr=0) + + return m + + + def __fix_design(self, m, design_val, fix_opt=True): + ''' Fix design variable + + Args: + m: model + design_val: design variable values dict + fix_opt: if True, fix. Else, unfix + + Returns: + m: model + ''' + # loop over the design variables and time index and to fix values specified in design_val + for d, dname in enumerate(self.dv_name): + for t, time in enumerate(self.dv_time[d]): + newvar = eval('m.' + dname + '[' + str(time) + ']') + fix_v = design_val[dname][time] + if fix_opt: + newvar.fix(fix_v) + else: + newvar.unfix() + return m + + def __solve_with_default_ipopt(self): + ''' Default solver + ''' + solver = SolverFactory('ipopt') + solver.options['linear_solver'] = 'ma57' + solver.options['halt_on_ampl_error'] = 'yes' + return solver + + def __solve_doe(self, m, fix=False): + '''Solve DOE model. + If it's a square problem, fix design variable and solve. + Else, fix design variable and solve square problem firstly, then unfix them and solve the optimization problem + + m:model + fix: if True, solve two times (square first). Else, just solve the square problem + + Return: + solver_results: solver results + ''' + ### Solve square problem + mod = self.__fix_design(m, self.design_values, fix_opt=fix) + + # if user gives solver, use this solver. if not, use default IPOPT solver + solver_result = self.solver.solve(mod,tee=self.tee_opt) + + return solver_result + + def __add_para(self, m, perturb=0): + ''' + For sIPOPT: add parameter perturbation set + m: model name + self.param_names: perturbation parameter names + perturb: which parameter to perturb + ''' + # model parameters perturbation, backward disturb + param_do = self.param_v.copy() + # perturb parameter + param_do[perturb] *= (1-self.step) + + # generate sIPOPT perturbed parameter names + param_perturb_names = self.param.copy() + for x, xname in enumerate(self.param): + param_perturb_names[x] = xname+'_pert' + if self.verbose: + print('perturb names are:', param_perturb_names) + + self.perturb_names = param_perturb_names + if self.verbose: + print('Perturbation parameters are set:') + for change in range(len(self.perturb_names)): + setattr(m, self.perturb_names[change], Param(m.scena, initialize=param_do[change])) + if self.verbose: + print(self.perturb_names[change], ': ', value(eval('m.'+self.perturb_names[change]+'[0]'))) + return m + + +class Scenario_generator: + def __init__(self, para_dict, formula='central', step=0.001, store=False): + '''Generate scenarios. + DoE library first calls this function to generate scenarios. + For sequential and simultaneous models, call different functions in this class. + + Args: + para_dict: a Dict of parameter, keys are names, values are their nominal value. for e.g., + {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + formula: choose from 'central', 'forward', 'backward', None. + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + store: if store results + ''' + + if formula not in ['central', 'forward', 'backward', None]: + raise ValueError('Error: undefined formula. Available formulas: central, forward, backward, none.') + + # get info from parameter dictionary + self.para_dict = para_dict + self.para_names = list(para_dict.keys()) + self.no_para = len(self.para_names) + self.formula = formula + self.step = step + self.store = store + # This is the parameter nominal values + self.scenario_nominal = [] + for d in self.para_names: + self.scenario_nominal.append(para_dict[d]) + + def simultaneous_scenario(self): + ''' + Generate scenario dict for simultaneous models + + Return: + scena_overall: a dictionary containing scenarios dictionaries. + scena_overall[name of parameter]: a dict, keys are the scenario name(numeric integer starting from 0), values are parameter value in this scenario + scena_overall['jac-index']: keys are parameter name, values are the scenario names perturbing this parameter. + scena_overall['eps-abs']: keys are parameter name, values are the step it is perturbed + scena_overall['scena-name']: a list of scenario names + + For e.g., if a dict {'P':100, 'D':20} is given, step=0.1, formula='central', it will return: + scena_overall = {'P': {0: 101.0, 1: 100, 2: 99.0, 3: 100}, 'D': {0: 20, 1: 20.2, 2: 20, 3: 19.8}, 'jac-index': {'P': [0, 2], 'D': [1, 3]}, 'eps-abs': {'P': 2.0, 'D': 0.4}, 'scena-name': [0, 1, 2, 3]} + if formula ='forward', it will return: + scena_overall = {'P':{'0':110, '1':100, '2':100}, 'D':{'0':20, '1':22, '2':20}, 'jac-index':{'P':[0,2], 'D':[1,2]}, 'eps-abs':{'P':10,'D':2}, 'scena-name': [0,1,2]} + ''' + # generate scenarios + scena_keys, scena = self.__scena_generate(self.scenario_nominal, self.formula) + self.scena_keys = scena_keys + self.scena = scena + + # call scneario class and method + scenario_object = Scenario_data(self.para_dict, self.scena_keys, self.scena, self.formula, self.step) + scenario_overall = scenario_object.create_scenario() + + # store scenario + if self.store: + f = open('scenario_simultaneous', 'wb') + pickle.dump(scenario_overall, f) + f.close() + + return scenario_overall + + def next_sequential_scenario(self, count): + ''' + Generate a single scenario class for one of the sequential models + + Parameters + ---------- + count: the No. of the sequential models + + Returns + ------- + scenario_next: scenario dict for this sequential model + ''' + scena_keys, scena = self.__scena_generate(list(self.scena[count].values()), None) + + # each model is basically a 'none' case of an invasive model + scenario_object = Scenario_data(self.scena[count], scena_keys, scena, None, self.step) + scenario_next = scenario_object.create_scenario() + + return scenario_next + + def generate_sequential_para(self): + ''' + Generate object and some 'parameters' for sequential models + + Returns (added to self object) + ------- + self.scena_keys: scenario name, a list of numbers + self.scena: a list of parameter dictionaries for all sequential models + self.scenario_para: a list of two No. of models involved in calculating one parameter sensitivity + self.eps_abs: keys are parameter name, values are the step it is perturbed + ''' + + scena_keys, scena = self.__scena_generate(self.scenario_nominal, self.formula) + self.scena_keys = scena_keys + self.scena = scena + + # record the number of scenarios involved in calculating a certain parameter sensitivities + scenario_para = {} + for p, para in enumerate(self.para_names): + # the scenario involved in Jacobian calculation + if self.formula == 'central': + scenario_para[para] = [p, p + self.no_para] + elif self.formula == None: + raise ValueError('Error: finite difference scheme should be chosen.') + else: + scenario_para[para] = [p, self.no_para] + + self.scenario_para = scenario_para + + # calculate the perturbation size of every parameter + eps_abs = {} + for para in self.para_names: + # for central difference scheme, perturbation size is two times the step size + if self.formula == 'central': + eps_abs[para] = 2 * self.step * self.para_dict[para] + else: + eps_abs[para] = self.step * self.para_dict[para] + + self.eps_abs = eps_abs + + def __scena_generate(self, para_nominal, formula): + ''' + Generate scenario logics + + Return: (store in self object) + self.scena_keys: a list of scenario names + self.scena: a dict, keys are scenario names, values are a list of parameter values + ''' + # generate scenario names + if formula == 'central': + scena_keys = list(range(2 * self.no_para)) + elif formula == None: + scena_keys = [0] + else: + scena_keys = list(range(self.no_para + 1)) + + # generate all parameter dict needed for creating a scenario + scena = {} + # generate a dict, keys are scenario number, values are a list of parameter values in this scenario + for i, name in enumerate(scena_keys): + scenario = para_nominal.copy() + + if formula == 'central': + # scenario 0 to #_of_para-1 are forward perturbed + if i < self.no_para: + scenario[i] *= (1 + self.step) + # scenario #_of_para to 2*#_of_para-1 are backward perturbed + else: + scenario[i - self.no_para] *= (1 - self.step) + + elif formula == 'forward': + # scenario 0 to #_of_para-1 are forward perturbed + if i < self.no_para: + scenario[i] *= (1 + self.step) + + elif formula == 'backward': + # scenario 0 to #_of_para-1 are backward perturbed + if i < self.no_para: + scenario[i] *= (1 - self.step) + + scenario_dict = {} + for n, pname in enumerate(self.para_names): + scenario_dict[pname] = scenario[n] + + scena[name] = scenario_dict + + return scena_keys, scena + + # TODO: need to consider how to store both hyperparameter and scenario classes in pickle + # if self.store: + # f = open('scenario_combine','wb') + # pickle.dump(scenario_comp, f) + # f.close() + + +class Scenario_data: + def __init__(self, parameter_dict, scena_keys, scena, form, step): + ''' + Generate scenario for a simultaneous model + + parameter_dict: parameter dictionaries + scena_keys: scenario name, a list of numbers + scena: a list of parameter dictionaries for all sequential models + form: choose from 'central', 'forward', 'backward', 'none'. + step: stepsize of a fraction, such as 0.01 + + Return: + scena_dict: a dictionary containing scenarios dictionaries. + scena_dict[name of parameter]: a dict, keys are the scenario name(numeric integer starting from 0), values are parameter value in this scenario + scena_dict['jac-index']: keys are parameter name, values are the scenario names perturbing this parameter. + scena_dict['eps-abs']: keys are parameter name, values are the step it is perturbed + scena_dict['scena-name']: a list of scenario names + + For e.g., if a dict {'P':100, 'D':20} is given, step=0.1, formula='central', it will return: + scena_dict = {'P': {0: 101.0, 1: 100, 2: 99.0, 3: 100}, 'D': {0: 20, 1: 20.2, 2: 20, 3: 19.8}, 'jac-index': {'P': [0, 2], 'D': [1, 3]}, 'eps-abs': {'P': 2.0, 'D': 0.4}, 'scena-name': [0, 1, 2, 3]} + if formula ='forward', it will return: + scena_dict = {'P':{'0':110, '1':100, '2':100}, 'D':{'0':20, '1':22, '2':20}, 'jac-index':{'P':[0,2], 'D':[1,2]}, 'eps-abs':{'P':10,'D':2}, 'scena-name': [0,1,2]} + ''' + # get info from parameter dictionary + self.para_dict = parameter_dict + self.para_names = list(parameter_dict.keys()) + + self.scena = scena + self.scena_keys = scena_keys + # print('scena:', scena) + # print('scena keys:', scena_keys) + self.no_para = len(self.para_names) + self.formula = form + self.step = step + + # This is the parameter nominal values + self.scenario_nominal = [] + for d in self.para_names: + self.scenario_nominal.append(parameter_dict[d]) + + def create_scenario(self): + # overall dict to return + scenario_dict = {} + # dict for scenario position + jac_index = {} + # dict for parameter perturbaion step size + eps_abs = {} + + # loop over parameter name + for p, para in enumerate(self.para_names): + scena_p = {} + for n in self.scena_keys: + # print(self.scena[n][para]) + scena_p[n] = self.scena[n][para] + + # a dictionary of scenarios and its corresponding parameter values + scenario_dict[para] = scena_p + + # for central difference scheme, perturbation size is two times the step size + if self.formula == 'central': + eps_abs[para] = 2 * self.step * self.para_dict[para] + else: + eps_abs[para] = self.step * self.para_dict[para] + + # the scenario involved in Jacobian calculation + if self.formula == 'central': + jac_index[para] = [p, p + self.no_para] + elif self.formula == None: + jac_index[para] = [0] + else: + jac_index[para] = [p, self.no_para] + + scenario_dict['jac-index'] = jac_index + scenario_dict['eps-abs'] = eps_abs + scenario_dict['scena-name'] = self.scena_keys + + # print('Return scenario dict as:', scenario_dict) + return scenario_dict + + +class FIM_result: + def __init__(self, para_name, prior_FIM=None, store_FIM=None, scale_constant_value=1, max_condition_number=1.0E12, + verbose=True): + ''' + Analyze the FIM result for a single run + + Args: + para_name: parameter names + prior_FIM: if there's prior FIM to be added + store_FIM: if storing the FIM in a .csv, give the file name here as a string, '**.csv' or '**.txt'. + scale_constant_value: the constant value used to scale the sensitivity + max_condition_number: max condition number + verbose: if print statements are used + ''' + self.para_name = para_name + self.prior_FIM = prior_FIM + self.store_FIM = store_FIM + self.scale_constant_value = scale_constant_value + self.fim_scale_constant_value = scale_constant_value ** 2 + self.max_condition_number = max_condition_number + self.verbose = verbose + + def calculate_FIM(self, jaco_info, dv_values, result=None): + ''' + Calculate FIM from Jacobian information. This is for grid search (combined models) results + + Args: + jaco_info: jacobian dictionary + dv_values: design variable value dictionary + sq_result: solver status returned by IPOPT + + Return: + fim_info: a FIM dictionary + ~['FIM']: FIM itself + ~[design variable name]: design variable values at each time point + ~['Trace']: Trace + ~['Determinant']: determinant + ~['Condition number:']: condition number + ~['Minimal eigen value:']: minimal eigen value + ~['Eigen values:']: all eigen values + ~['Eigen vectors:']: all eigen vectors + solver_info: a solver infomation dictionary + ~['square']: square result solver status + ''' + self.result = result + self.doe_result = None + # create a dict for FIM. It has the same keys as the Jacobian dict. + + no_param = len(self.para_name) + ### calculate the FIM + fim = np.zeros((no_param, no_param)) + # loop over parameters + for row, para_n in enumerate(self.para_name): + for col, para_m in enumerate(self.para_name): + jaco_n = np.asarray(jaco_info[para_n]) + jaco_m = np.asarray(jaco_info[para_m]) + #fim[row][col] = jaco_info[para_n].T@jaco_info[para_m] + fim[row][col] = jaco_n.T@jaco_m + + # add prior information + if (self.prior_FIM is not None): + try: + fim = fim + self.prior_FIM + print('Existed information has been added.') + except: + raise ValueError('Check the shape of prior FIM') + + if np.linalg.cond(fim) > self.max_condition_number: + print("Warning: FIM is near singular.") + + # call private methods + self.__print_FIM_info(fim, dv_set=dv_values) + if self.result is not None: + self.__solver_info() + + # if given store file name, store the FIM + if (self.store_FIM is not None): + self.__store_FIM() + + def extract_FIM(self, m, dv_set, result, obj=None, add_fim=False): + ''' + Extract FIM from an invasive model + + Args: + m: model + dv_set: design variable value dictionary + result: problem solver status by IPOPT + obj: chosen from 'det' and 'trace' + add_fim: if the given FIM needs to be added. Do not add for optimize_doe(). + + Return: + fim_info: a FIM dictionary + ~['FIM']: FIM itself + ~[design variable name]: design variable values at each time point + ~['Trace']: Trace + ~['Determinant']: determinant + ~['Condition number:']: condition number + ~['Minimal eigen value:']: minimal eigen value + ~['Eigen values:']: all eigen values + ~['Eigen vectors:']: all eigen vectors + model_info: model solutions dictionary + ~['obj']: objective function value + ~['det']: determinant calculated by the model (different from FIM_info['det'] which + is calculated by numpy) + -['trace']: trace calculated by the model + -[design variable name]: design variable solution + solver_status: a solver infomation dictionary + ~['square']: square result solver status + -['doe']: doe result solver status + ''' + self.result = result + self.obj = obj + no_para = len(self.para_name) + + # Extract FIM infomation + FIM = np.ones((no_para, no_para)) + for n1, name1 in enumerate(self.para_name): + for n2, name2 in enumerate(self.para_name): + FIM[n1, n2] = value(m.FIM[name1, name2]) / self.fim_scale_constant_value + + # add prior information + if add_fim: + if (self.prior_FIM is not None): + try: + FIM = FIM + self.prior_FIM + print('Existed information has been added.') + except: + raise ValueError('Check the shape of prior FIM') + + # call private methods + self.__print_FIM_info(FIM, dv_set=dv_set) + self.__solution_info(m, dv_set) + self.__solver_info() + + # if given store file name, store the FIM + if (self.store_FIM is not None): + self.__store_FIM() + + def __print_FIM_info(self, FIM, dv_set=None): + ''' + using a dictionary to store all FIM information + + Args: + FIM: the Fisher Information Matrix, needs to be P.D. and symmetric + dv_set: design variable dictionary + + Return: + self attributes: + ~['FIM']: FIM itself + ~[design variable name]: design variable values at each time point + ~['Trace']: Trace + ~['Determinant']: determinant + ~['Condition number:']: condition number + ~['Minimal eigen value:']: minimal eigen value + ~['Eigen values:']: all eigen values + ~['Eigen vectors:']: all eigen vectors + ''' + eig = np.linalg.eigvals(FIM) + self.FIM = FIM + self.trace = np.trace(FIM) + self.det = np.linalg.det(FIM) + self.min_eig = min(eig) + self.cond = max(eig) / min(eig) + self.eig_vals = eig + self.eig_vecs = np.linalg.eig(FIM)[1] + + dv_names = list(dv_set.keys()) + + FIM_dv_info = {} + FIM_dv_info[dv_names[0]] = dv_set[dv_names[0]] + FIM_dv_info[dv_names[1]] = dv_set[dv_names[1]] + + self.dv_info = FIM_dv_info + + if self.verbose: + print('FIM:', self.FIM) + + print('Trace:', self.trace) + print('Determinant:', self.det) + print('Condition number:', self.cond) + print('Minimal eigen value:', self.min_eig) + print('Eigen values:', self.eig_vals) + print('Eigen vectors:', self.eig_vecs) + + def __solution_info(self, m, dv_set): + ''' + Solution information. Only for optimization problem + + Args: + m: model + dv_set: design variable dictionary + + Return: + self attributes: model solved information dictionary + ~['obj']: objective function value + ~['det']: determinant calculated by the model (different from FIM_info['det'] which + is calculated by numpy) + -['trace']: trace calculated by the model + -[design variable name]: design variable solution + ''' + self.obj_value = value(m.obj) + print('Model objective:', self.obj_value) + + if self.obj == 'det': + self.obj_det = np.exp(value(m.obj)) / (self.fim_scale_constant_value) ** (len(self.para_name)) + print('Objective(determinant) is:', self.obj_det) + elif self.obj == 'trace': + self.obj_trace = np.exp(value(m.obj)) / (self.fim_scale_constant_value) + print('Objective(trace) is:', self.obj_trace) + + dv_names = list(dv_set.keys()) + dv_times = list(dv_set.values()) + + solution = {} + for d, dname in enumerate(dv_names): + sol = [] + for t, time in enumerate(dv_times[d]): + newvar = eval('m.' + dname + '[' + str(time) + ']') + sol.append(value(newvar)) + solution[dname] = sol + if self.verbose: + print('Solution of ', dname, ' :', solution[dname]) + self.solution = solution + + def __store_FIM(self): + # if given store file name, store the FIM + store_dict = {} + for i, name in enumerate(self.para_name): + store_dict[name] = self.FIM[i] + FIM_store = pd.DataFrame(store_dict) + FIM_store.to_csv(self.store_FIM, index=False) + + def __solver_info(self): + ''' + Solver information dictionary + + Return: + self.status: solver status + ''' + print('======problem solver output======') + + if (self.result.solver.status == SolverStatus.ok) and ( + self.result.solver.termination_condition == TerminationCondition.optimal): + self.status = 'converged' + print('converged') + elif (self.result.solver.termination_condition == TerminationCondition.infeasible): + self.status = 'infeasible' + print('infeasible solution') + else: + self.status = self.result.solver.status + print('solver status:', self.result.solver.status) + + +class Grid_Search_Result: + def __init__(self, dv_ranges, FIM_result_list, store_optimality_name=None, verbose=True): + ''' + This class deals with the FIM results from grid search, + turns them into heatmaps. + + Args: + dv_ranges: a dict whose keys are design variable names, values are a list of design variable values to go over + FIM_result_list: FIM results list from grid search functions + store_optimality_name: a csv file name containing all four optimalities value + verbose: if print statements + + Return: + heatmap + ''' + # design variables + self.dv_names = list(dv_ranges.keys()) + self.dv_ranges = dv_ranges + self.FIM_result_list = FIM_result_list + self.len_range1 = len(dv_ranges[self.dv_names[0]]) + self.len_range2 = len(dv_ranges[self.dv_names[1]]) + self.store_optimality_name = store_optimality_name + self.verbose = verbose + + def __extract_criteria(self): + ''' + Extract criteria values from each FIM info class + ''' + # initialize the resulted matrix + # A-opt results in numpy array + cri_a = np.zeros((self.len_range1, self.len_range2)) + # D-opt + cri_d = np.zeros((self.len_range1, self.len_range2)) + # E-opt + cri_e = np.zeros((self.len_range1, self.len_range2)) + # Modified E-opt + cri_e_cond = np.zeros((self.len_range1, self.len_range2)) + + # a list store all results + store_all_results = [] + + # loop over design space + for no_i, i in enumerate(self.dv_ranges[self.dv_names[0]]): + for no_j, j in enumerate(self.dv_ranges[self.dv_names[1]]): + if self.verbose: + print('At ', self.dv_names[0], '=', i, ', ', self.dv_names[1], '= ', j, ':') + + # map the FIM info class to the overall list + fim_result_no = no_j + no_i * self.len_range2 + fim_iter = self.FIM_result_list[fim_result_no] + + if self.verbose: + print('We found the class where ', self.dv_names[0], '=', fim_iter.dv_info[self.dv_names[0]], ',', + self.dv_names[1], '=', fim_iter.dv_info[self.dv_names[1]]) + + cri_a[no_i][no_j] = fim_iter.trace + cri_d[no_i][no_j] = fim_iter.det + cri_e[no_i][no_j] = fim_iter.min_eig + cri_e_cond[no_i][no_j] = fim_iter.cond + + # store results + store_iteration_result = [i, j, fim_iter.trace, fim_iter.det, fim_iter.min_eig, fim_iter.cond] + store_all_results.append(store_iteration_result) + + if self.verbose: + print('A-optimal result is', cri_a[no_i][no_j], 'D-optimal result is', cri_d[no_i][no_j], + 'E-optimal(minimal eigenvalue) result is', cri_e[no_i][no_j], + 'Modified E-optimal (condition number) result is', cri_e_cond[no_i][no_j]) + + self.cri_a = cri_a + self.cri_d = cri_d + self.cri_e = cri_e + self.cri_e_cond = cri_e_cond + # give user access to all results + self.all_result = store_all_results + + # store optimality values + if self.store_optimality_name is not None: + column_names = [self.dv_names[0], self.dv_names[1], 'A', 'D', 'E', 'ME'] + store_df = pd.DataFrame(store_all_results, columns=column_names) + store_df.to_csv(self.store_optimality_name, index=False) + + def heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True): + ''' + draw heatmaps of the three criteria + + title_text: name of the heatmap, a string + xlabel_text: x label title, a string, should be the second design varialbe in the dv_ranges + ylabel_text: y label title, a string, should be the first design variable in the dv_ranges + font_axes: axis font size + font_tick: axis tick font size + log_scale: if True, the result matrix will be scaled by log10 + ''' + # Get meshgrids of design variables and results for plotting + + self.__extract_criteria() + + if log_scale: + hes_a = np.log10(self.cri_a) + hes_e = np.log10(self.cri_e) + hes_d = np.log10(self.cri_d) + hes_e2 = np.log10(self.cri_e_cond) + else: + hes_a = self.cri_a + hes_e = self.cri_e + hes_d = self.cri_d + hes_e2 = self.cri_e_cond + + xLabel = self.dv_ranges[self.dv_names[0]] + yLabel = self.dv_ranges[self.dv_names[1]] + + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + plt.rcParams.update(params) + ax.set_yticks(range(len(yLabel))) + ax.set_yticklabels(yLabel) + ax.set_ylabel(ylabel_text) + ax.set_xticks(range(len(xLabel))) + ax.set_xticklabels(xLabel) + ax.set_xlabel(xlabel_text) + im = ax.imshow(hes_a.T, cmap=plt.cm.hot_r) + ba = plt.colorbar(im) + ba.set_label('log10(trace(FIM))') + plt.title(title_text + ' - A optimality') + plt.show() + + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + plt.rcParams.update(params) + ax.set_yticks(range(len(yLabel))) + ax.set_yticklabels(yLabel) + ax.set_ylabel(ylabel_text) + ax.set_xticks(range(len(xLabel))) + ax.set_xticklabels(xLabel) + ax.set_xlabel(xlabel_text) + im = ax.imshow(hes_d.T, cmap=plt.cm.hot_r) + ba = plt.colorbar(im) + ba.set_label('log10(det(FIM))') + plt.title(title_text + ' - D optimality') + plt.show() + + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + plt.rcParams.update(params) + ax.set_yticks(range(len(yLabel))) + ax.set_yticklabels(yLabel) + ax.set_ylabel(ylabel_text) + ax.set_xticks(range(len(xLabel))) + ax.set_xticklabels(xLabel) + ax.set_xlabel(xlabel_text) + im = ax.imshow(hes_e.T, cmap=plt.cm.hot_r) + ba = plt.colorbar(im) + ba.set_label('log10(minimal eig(FIM))') + plt.title(title_text + ' - E optimality') + plt.show() + + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + plt.rcParams.update(params) + ax.set_yticks(range(len(yLabel))) + ax.set_yticklabels(yLabel) + ax.set_ylabel(ylabel_text) + ax.set_xticks(range(len(xLabel))) + ax.set_xticklabels(xLabel) + ax.set_xlabel(xlabel_text) + im = ax.imshow(hes_e2.T, cmap=plt.cm.hot_r) + ba = plt.colorbar(im) + ba.set_label('log10(cond(FIM))') + plt.title(title_text + ' - Modified E-optimality') + plt.show() + + +def permutations(lst, r=None): + '''Function for calculating determinant + It generates unrepeatable permutations reordering elements in the given list + + Argument: + lst: a list for permutation + + Return: + All permutations of this list + + Adapted from https://stackoverflow.com/questions/58924650/finding-determinant-of-a-nxn-matrix-using-leibniz-formula-on-python + ''' + if len(lst) <= 1: + return [lst] + templst = [] + for i in range(len(lst)): + part = lst[:i] + lst[i+1:] + for j in permutations(part): + templst.append(lst[i:i+1] + j) + return templst + +def sgn(p): + ''' + Give the signature of a permutation + + Argument: + p: the permutation (a list) + + Return: + 1 if the number of exchange is an even number + -1 if the number is an odd number + ''' + + if len(p) == 1: + return True + + trans = 0 + + for i in range(0,len(p)): + j = i + 1 + + for j in range(j, len(p)): + if p[i] > p[j]: + trans = trans + 1 + + if (trans % 2) == 0: + return 1 + else: + return -1 + +def simulate_discretize_model(m,NFE,collo=True,initialize=True): + ''' Simulation, discretize, and initialize the Pyomo model + + Arguments: + m: Pyomo model + NFE: number of finite elements to consider (integer) + initialize: if True, initialize the discretized model with the + integrator solution (boolean) + + Returns: + sim: Simulator object from Pyomo.DAE + tsim: Timesteps returned from simulator + profiles: Results returned from simulator + ''' + # Simulate the model using casadi + sim = Simulator(m, package='casadi') + tsim, profiles = sim.simulate(integrator='idas', varying_inputs=m.var_input) + + if not collo: + discretizer = TransformationFactory('dae.finite_difference') + discretizer.apply_to(m, nfe=NFE, scheme='BACKWARD', wrt=m.t) + else: + # Discretize model using Orthogonal Collocation + discretizer = TransformationFactory('dae.collocation') + #discretizer.apply_to(m, nfe=NFE, scheme='LAGRANGE-RADAU', ncp=3, wrt=m.t) + discretizer.apply_to(m, nfe=NFE, scheme='LAGRANGE-LEGENDRE', ncp=3, wrt=m.t) + + if initialize: + # Initialize the discretized model using the simulator profiles + sim.initialize_model() + + return sim, tsim, profiles + + + + \ No newline at end of file diff --git a/pyomo/contrib/doe/dynamic.csv b/pyomo/contrib/doe/dynamic.csv new file mode 100644 index 00000000000..b8cdf52980d --- /dev/null +++ b/pyomo/contrib/doe/dynamic.csv @@ -0,0 +1,5 @@ +A1,A2,E1,E2 +34.8284258759339,8.984651636113712,-93.24075866508659,-36.953216852391535 +8.984651636113712,34.7202195578813,-19.100679208018697,-169.32118927971206 +-93.24075866508659,-19.100679208018697,261.9835916539686,82.95164764848309 +-36.953216852391535,-169.32118927971206,82.95164764848309,876.1352438243603 diff --git a/pyomo/contrib/doe/fim_5_300_500_scale.csv b/pyomo/contrib/doe/fim_5_300_500_scale.csv new file mode 100644 index 00000000000..77c0424aa13 --- /dev/null +++ b/pyomo/contrib/doe/fim_5_300_500_scale.csv @@ -0,0 +1,5 @@ +A1,A2,E1,E2 +28.678928056936364,5.412497388906993,-81.73674601413501,-24.023773235011475 +5.412497388906993,26.409350356572013,-12.418164773953235,-139.2399253159117 +-81.73674601413501,-12.418164773953235,240.46276003997696,58.764228064029076 +-24.023773235011475,-139.2399253159117,58.764228064029076,767.255845082616 diff --git a/pyomo/contrib/doe/fim_5_300_scale.csv b/pyomo/contrib/doe/fim_5_300_scale.csv new file mode 100644 index 00000000000..381e916b9d4 --- /dev/null +++ b/pyomo/contrib/doe/fim_5_300_scale.csv @@ -0,0 +1,5 @@ +A1,A2,E1,E2 +22.529430237938822,1.8403431417002734,-70.23273336318343,-11.094329617631416 +1.8403431417002734,18.098481155262718,-5.7356503398877745,-109.15866135211135 +-70.23273336318343,-5.7356503398877745,218.9419284259853,34.576808479575064 +-11.094329617631416,-109.15866135211135,34.576808479575064,658.3764463408718 diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb new file mode 100644 index 00000000000..6c6edc47d49 --- /dev/null +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -0,0 +1,7215 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "opposite-garage", + "metadata": {}, + "source": [ + "# Reactor Kinetics Example \n", + "\n", + "Jialu Wang (jwang44@nd.edu) and Alex Dowling (adowling@nd.edu)\n", + "\n", + "University of Notre Dame\n", + "\n", + "This notebook conducts design of experiments for a reactor kinetics experiment with the Pyomo.DOE.\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "worth-origin", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "from pyomo.environ import *\n", + "from pyomo.dae import *\n", + "\n", + "import numpy as np\n", + "from scipy.interpolate import interp2d\n", + "import pandas as pd \n", + "\n", + "from DoE_package import *\n", + "from pyomo.contrib.sensitivity_toolbox.sens import sipopt" + ] + }, + { + "cell_type": "markdown", + "id": "graphic-controversy", + "metadata": {}, + "source": [ + "## Define Reaction Example Mathematical Model" + ] + }, + { + "cell_type": "markdown", + "id": "disturbed-prediction", + "metadata": {}, + "source": [ + "Consider two chemical reactions that converts molecule $A$ to desired product $B$ and a less valuable side-product $C$.\n", + "\n", + "$A \\overset{k_1}{\\rightarrow} B \\overset{k_2}{\\rightarrow} C$\n", + "\n", + "Our ultimate goals is to design a large-scale continous reactor that maximizes the production of $B$. This general sequential reactions problem is widely applicable to CO$_2$ capture and industry more broadly (petrochemicals, pharmasuticals, etc.).\n", + "\n", + "The rate laws for these two chemical reactions are:\n", + "\n", + "$r_A = -k_1 C_A$\n", + "\n", + "$r_B = k_1 C_A - k_2 C_B$\n", + "\n", + "$r_C = k_2 C_B$\n", + "\n", + "Here, $C_A$, $C_B$, and $C_C$ are the concentrations of each species. The rate constants $k_1$ and $k_2$ depend on temperature as follows:\n", + "\n", + "$k_1 = A_1 \\exp{\\frac{-E_1}{R T}}$\n", + "\n", + "$k_2 = A_2 \\exp{\\frac{-E_2}{R T}}$\n", + "\n", + "$A_1, A_2, E_1$, and $E_2$ are fitted model parameters. $R$ is the ideal-gas constant and $T$ is absolute temperature.\n", + "\n", + "Using the **CCSI$^2$ toolset**, we would like do the following perform:\n", + "\n", + "Perform **uncertainty quantification** and **design of experiments** on a small-scale **batch reactor** to infer parameters $A_1$, $A_2$, $E_1$, and $E_2$." + ] + }, + { + "cell_type": "markdown", + "id": "sweet-niger", + "metadata": {}, + "source": [ + "### Batch reactor\n", + "\n", + "The concenrations in a batch reactor evolve with time per the following differential equations:\n", + "\n", + "$$ \\frac{d C_A}{dt} = r_A = -k_1 C_A $$\n", + "\n", + "$$ \\frac{d C_B}{dt} = r_B = k_1 C_A - k_2 C_B $$\n", + "\n", + "$$ \\frac{d C_C}{dt} = r_C = k_2 C_B $$\n", + "\n", + "This is a linear system of differential equations. Assuming the feed is only species $A$, i.e., \n", + "\n", + "$$C_A(t=0) = C_{A0} \\quad C_B(t=0) = 0 \\quad C_C(t=0) = 0$$\n", + "\n", + "When the temperature is constant, it leads to the following analytic solution:\n", + "\n", + "$$C_A(t) = C_{A,0} \\exp(-k_1 t)$$\n", + "\n", + "$$C_B(t) = \\frac{k_1}{k_2 - k_1} C_{A,0} \\left[\\exp(-k_1 t) - \\exp(-k_2 t) \\right]$$\n", + "\n", + "$$C_C(t) = C_{A,0} - \\frac{k_2}{k_2 - k_1} C_{A,0} \\exp(-k_1 t) + \\frac{k_1}{k_2 - k_1} \\exp(-k_2 t) C_{A,0} = C_{A,0} - C_{A}(t) - C_{B}(t)$$" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "eligible-robert", + "metadata": {}, + "outputs": [], + "source": [ + "from reactor_models import *" + ] + }, + { + "cell_type": "markdown", + "id": "6f7434dc", + "metadata": {}, + "source": [ + "Three versions of this model is accomplished: \n", + "\n", + "Dynamic-DAE model: Temperature varying model discretized and integrated by Pyomo.DAE\n", + "\n", + "Constant-DAE model: Temperature constant model discretized and integrated by Pyomo.DAE\n", + "\n", + "Constant-analytical model: Temperature constant model discretized manually and using the analytical expressions for state variables." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d576e9c4", + "metadata": {}, + "outputs": [], + "source": [ + "# choose model from 'dynamic-DAE', 'constant-DAE', 'constant-analytical'\n", + "#model_opt = 'dynamic-DAE'\n", + "model_opt = 'constant-DAE'\n", + "#model_opt = 'constant-analytical'\n", + "\n", + "if (model_opt=='dynamic-DAE'):\n", + " createmod = create_model_dae\n", + " disc = discretizer\n", + " t_control = [0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + " \n", + "elif (model_opt=='constant-DAE'):\n", + " createmod = create_model_dae_const\n", + " disc = discretizer\n", + " t_control = [0]\n", + " \n", + "elif (model_opt=='constant-analytical'):\n", + " createmod = create_model_alge\n", + " disc = None\n", + " t_control = [0]\n", + "\n", + " \n", + "# design variable and its control time set\n", + "dv_pass = {'CA0': [0],'T': t_control}\n", + " \n", + "# Define measurement time points\n", + "t_measure = [0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "47137cb2", + "metadata": {}, + "outputs": [], + "source": [ + "# Define parameter nominal value \n", + "parameter_dict = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}\n", + "\n", + "def generate_exp(t_set, CA0, T): \n", + " '''Generate experiments. \n", + " t_set: time control set for T.\n", + " CA0: CA0 value\n", + " T: A list of T \n", + " '''\n", + " assert(len(t_set)==len(T)), 'T should have the same length as t_set'\n", + " \n", + " T_con_initial = {}\n", + " for t, tim in enumerate(t_set):\n", + " T_con_initial[tim] = T[t]\n", + " \n", + " dv_dict_overall = {'CA0': {0: CA0},'T': T_con_initial}\n", + " return dv_dict_overall" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "written-tours", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The prior information FIM: [[ 28.67892806 5.41249739 -81.73674601 -24.02377324]\n", + " [ 5.41249739 26.40935036 -12.41816477 -139.23992532]\n", + " [ -81.73674601 -12.41816477 240.46276004 58.76422806]\n", + " [ -24.02377324 -139.23992532 58.76422806 767.25584508]]\n", + "Prior Det: 140189.67370995492\n", + "Eigenvalue of the prior experiments FIM: [8.00463185e+02 2.60471503e+02 4.84545259e-01 1.38765050e+00]\n", + "Eigenvalue of the prior experiments FIM: [[-0.77629273 -0.54211788 0.31871243 -0.0435912 ]\n", + " [ 0.56614148 -0.80478003 -0.01425817 -0.177791 ]\n", + " [-0.25919275 -0.19059651 -0.94009108 0.11278677]\n", + " [ 0.09834911 -0.14869526 0.12019924 0.97661114]]\n" + ] + } + ], + "source": [ + "# empty prior\n", + "#prior_all = np.zeros((4,4))\n", + "\n", + "\n", + "# add prior information\n", + "prior_5_300 = pd.read_csv('fim_5_300_scale.csv')\n", + "prior_5_300_500 = pd.read_csv('fim_5_300_500_scale.csv')\n", + "\n", + "prior_all = prior_5_300_500\n", + "\n", + "\n", + "prior_pass=np.asarray(prior_all)\n", + "\n", + "#L_initials = np.linalg.cholesky(prior_pass)\n", + "#print(L_initials)\n", + "\n", + "print('The prior information FIM:', prior_pass)\n", + "print('Prior Det:', np.linalg.det(prior_pass))\n", + "print('Eigenvalue of the prior experiments FIM:', np.linalg.eigvals(prior_pass))\n", + "print('Eigenvalue of the prior experiments FIM:', np.linalg.eigh(prior_pass)[1])" + ] + }, + { + "cell_type": "markdown", + "id": "destroyed-african", + "metadata": {}, + "source": [ + "## Compute FIM \n", + "\n", + "This method computes an MBDoE optimization problem with no Degree of Freedom." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "d3ee5ff9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Design variable: {'CA0': {0: 5}, 'T': {0: 500}}\n" + ] + } + ], + "source": [ + "# choose from 'simultaneous', 'sequential', 'sipopt'\n", + "#sensi_opt = 'simultaneous_finite'\n", + "#sensi_opt = 'sequential_finite'\n", + "sensi_opt = 'sequential_sipopt'\n", + "\n", + "# Define experiments\n", + "if (model_opt=='dynamic-DAE'):\n", + " exp1 = generate_exp(t_control, 5, [570.21, 300, 300, 300, 300, 300, 300, 300, 300])\n", + "else: \n", + " exp1 = generate_exp(t_control, 5, [500])\n", + "\n", + "print('Design variable:', exp1)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "latin-medicare", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 83.94294994963053\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "Ipopt 3.13.3: run_sens=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3371\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 677\n", + "\n", + "Total number of variables............................: 873\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 873\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.40e+01 9.97e+02 2.1 2.11e+04 - 2.06e-03 2.06e-03f 1\n", + " 6r 0.0000000e+00 2.29e+01 9.94e+02 0.7 2.03e+04 - 3.79e-04 3.68e-03f 1\n", + " 7r 0.0000000e+00 1.89e+01 2.56e+03 0.7 7.16e+03 - 2.16e-02 1.46e-03f 1\n", + " 8r 0.0000000e+00 6.78e+00 3.44e+03 0.7 1.05e+03 - 8.67e-03 1.74e-02f 1\n", + " 9r 0.0000000e+00 3.44e+00 9.48e+03 0.7 1.40e+02 - 6.67e-03 2.50e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 3.97e+00 9.11e+03 0.7 6.07e+01 - 1.66e-02 4.24e-02f 1\n", + " 11r 0.0000000e+00 4.22e+00 8.77e+03 0.7 2.54e+01 - 1.00e+00 6.44e-02f 1\n", + " 12r 0.0000000e+00 4.16e+00 1.23e+03 0.7 3.29e+00 - 1.00e+00 8.54e-01f 1\n", + " 13r 0.0000000e+00 3.59e+00 2.07e+02 0.7 3.66e+00 - 5.61e-01 1.00e+00f 1\n", + " 14r 0.0000000e+00 2.96e+00 4.16e+01 -0.0 5.02e+00 - 9.99e-01 8.82e-01f 1\n", + " 15r 0.0000000e+00 2.58e+00 4.27e+02 -0.7 2.73e+01 - 4.53e-01 1.07e-01f 1\n", + " 16r 0.0000000e+00 2.56e+00 4.33e+04 -0.7 1.57e+01 - 1.00e+00 1.67e-02f 1\n", + " 17r 0.0000000e+00 2.52e+00 1.78e+04 -0.7 1.25e+01 - 1.00e+00 5.33e-02f 1\n", + " 18r 0.0000000e+00 2.05e+00 3.96e+03 -0.7 1.08e+01 - 1.00e+00 6.10e-01f 1\n", + " 19r 0.0000000e+00 1.94e+00 2.41e+04 -0.7 8.03e+00 - 6.27e-01 1.46e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 1.71e+00 1.95e+04 -0.7 1.31e+01 - 1.39e-02 1.72e-01f 1\n", + " 21r 0.0000000e+00 1.57e+00 1.83e+04 -0.7 1.62e+01 - 4.71e-02 9.11e-02f 1\n", + " 22r 0.0000000e+00 1.48e+00 1.74e+04 -0.7 1.88e+01 - 5.08e-02 5.68e-02f 1\n", + " 23r 0.0000000e+00 1.38e+00 1.69e+04 -0.7 2.03e+01 - 3.87e-02 5.08e-02f 1\n", + " 24r 0.0000000e+00 1.28e+00 1.70e+04 -0.7 2.11e+01 - 3.03e-02 5.48e-02f 1\n", + " 25r 0.0000000e+00 1.25e+00 1.63e+04 -0.7 2.11e+01 - 2.88e-02 1.90e-02f 1\n", + " 26r 0.0000000e+00 1.18e+00 1.47e+04 -0.7 3.23e+01 - 3.64e-02 2.38e-02f 1\n", + " 27r 0.0000000e+00 1.14e+00 1.44e+04 -0.7 2.10e+01 - 2.08e-02 2.36e-02f 1\n", + " 28r 0.0000000e+00 1.08e+00 1.47e+04 -0.7 7.71e+01 - 7.21e-03 9.85e-03f 1\n", + " 29r 0.0000000e+00 1.06e+00 1.44e+04 -0.7 1.61e+01 - 3.49e-02 1.25e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.04e+00 1.41e+04 -0.7 5.75e+00 0.0 8.30e-02 5.19e-02f 1\n", + " 31r 0.0000000e+00 8.90e-01 2.06e+04 -0.7 1.64e+01 - 2.14e-03 1.14e-01f 1\n", + " 32r 0.0000000e+00 8.49e-01 2.04e+04 -0.7 3.27e+03 - 9.39e-05 1.59e-04f 1\n", + " 33r 0.0000000e+00 8.40e-01 1.93e+04 -0.7 2.07e+01 - 3.90e-02 5.49e-03f 1\n", + " 34r 0.0000000e+00 7.18e-01 1.78e+04 -0.7 2.04e+01 -0.5 5.74e-02 7.81e-02f 1\n", + " 35r 0.0000000e+00 7.12e-01 1.74e+04 -0.7 1.51e+01 - 6.25e-02 5.39e-03f 1\n", + " 36r 0.0000000e+00 5.95e-01 1.66e+04 -0.7 5.06e+01 -1.0 2.62e-03 3.07e-02f 1\n", + " 37r 0.0000000e+00 5.91e-01 1.76e+04 -0.7 1.69e+01 - 9.03e-02 3.09e-03f 1\n", + " 38r 0.0000000e+00 4.99e-01 2.45e+04 -0.7 1.37e+02 - 4.39e-04 9.12e-03f 1\n", + " 39r 0.0000000e+00 4.68e-01 1.66e+04 -0.7 4.45e+02 -1.4 8.43e-03 9.79e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 4.39e-01 1.58e+04 -0.7 1.12e+01 - 1.28e-01 3.82e-02f 1\n", + " 41r 0.0000000e+00 3.11e-01 1.56e+04 -0.7 1.88e+02 - 3.01e-04 9.57e-03f 1\n", + " 42r 0.0000000e+00 3.06e-01 1.78e+04 -0.7 1.55e+01 - 1.80e-01 5.42e-03f 1\n", + " 43r 0.0000000e+00 2.83e-01 1.95e+04 -0.7 3.70e+01 - 1.54e-03 6.91e-02f 1\n", + " 44r 0.0000000e+00 2.82e-01 3.14e+04 -0.7 1.91e+01 - 2.18e-01 3.74e-03f 1\n", + " 45r 0.0000000e+00 2.83e-01 2.53e+04 -0.7 2.65e+01 - 2.59e-03 7.36e-02f 1\n", + " 46r 0.0000000e+00 2.77e-01 2.69e+04 -0.7 1.26e+00 - 4.26e-02 2.27e-02f 1\n", + " 47r 0.0000000e+00 2.53e-01 2.41e+04 -0.7 1.00e+00 - 1.10e-01 8.74e-02f 1\n", + " 48r 0.0000000e+00 2.52e-01 2.64e+04 -0.7 9.41e-01 - 7.10e-02 1.20e-03h 1\n", + " 49r 0.0000000e+00 2.49e-01 2.60e+04 -0.7 1.28e+00 - 6.38e-03 1.53e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 2.02e-01 2.16e+04 -0.7 9.05e-01 - 6.69e-03 1.87e-01f 1\n", + " 51r 0.0000000e+00 2.02e-01 2.14e+04 -0.7 7.35e-01 - 1.95e-01 2.70e-03h 1\n", + " 52r 0.0000000e+00 1.64e-01 1.75e+04 -0.7 7.31e-01 - 4.13e-03 1.86e-01f 1\n", + " 53r 0.0000000e+00 1.64e-01 1.74e+04 -0.7 5.94e-01 - 1.01e-01 3.65e-03h 1\n", + " 54r 0.0000000e+00 1.35e-01 1.44e+04 -0.7 5.91e-01 - 5.43e-02 1.75e-01f 1\n", + " 55r 0.0000000e+00 1.34e-01 1.43e+04 -0.7 4.86e-01 - 8.09e-02 7.88e-03f 1\n", + " 56r 0.0000000e+00 1.12e-01 1.19e+04 -0.7 4.82e-01 - 5.49e-02 1.65e-01f 1\n", + " 57r 0.0000000e+00 1.05e-01 1.12e+04 -0.7 4.02e-01 - 8.70e-02 5.82e-02f 1\n", + " 58r 0.0000000e+00 9.02e-02 9.60e+03 -0.7 3.78e-01 - 7.23e-02 1.44e-01f 1\n", + " 59r 0.0000000e+00 8.32e-02 8.85e+03 -0.7 3.23e-01 - 1.08e-01 7.77e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 7.13e-02 7.59e+03 -0.7 2.97e-01 - 1.14e-01 1.43e-01f 1\n", + " 61r 0.0000000e+00 5.97e-02 6.35e+03 -0.7 2.54e-01 - 1.58e-01 1.63e-01f 1\n", + " 62r 0.0000000e+00 4.92e-02 5.24e+03 -0.7 2.12e-01 - 3.19e-01 1.75e-01f 1\n", + " 63r 0.0000000e+00 3.25e-02 3.46e+03 -0.7 1.74e-01 - 4.25e-01 3.41e-01f 1\n", + " 64r 0.0000000e+00 1.05e-02 5.44e+02 -0.7 1.15e-01 - 7.89e-01 8.42e-01f 1\n", + " 65r 0.0000000e+00 1.05e-02 1.27e-01 -0.7 1.77e-02 - 1.00e+00 1.00e+00f 1\n", + " 66r 0.0000000e+00 1.04e-02 4.02e+02 -3.2 4.99e-01 - 9.96e-01 7.70e-01f 1\n", + " 67r 0.0000000e+00 1.28e-03 4.63e+03 -3.2 1.75e+02 - 9.55e-01 1.44e-02f 1\n", + " 68r 0.0000000e+00 1.03e-03 5.51e+03 -3.2 3.42e+00 - 1.00e+00 2.81e-02f 1\n", + " 69r 0.0000000e+00 2.09e-05 1.12e+02 -3.2 4.19e-01 - 1.00e+00 9.80e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 8.74e-08 1.47e-05 -3.2 8.48e-03 - 1.00e+00 1.00e+00f 1\n", + " 71r 0.0000000e+00 4.26e-09 3.97e-01 -7.2 3.66e-05 - 1.00e+00 9.97e-01f 1\n", + "\n", + "Number of Iterations....: 71\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.6492325330122577e-09 4.2566097210568546e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.6492325330122577e-09 4.2566097210568546e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 78\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 78\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 73\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 71\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.075\n", + "Total CPU secs in NLP function evaluations = 0.010\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 368.0005567983665\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "Ipopt 3.13.3: run_sens=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3371\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 677\n", + "\n", + "Total number of variables............................: 873\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 873\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.40e+01 9.97e+02 2.1 2.11e+04 - 2.06e-03 2.06e-03f 1\n", + " 6r 0.0000000e+00 2.29e+01 9.94e+02 0.7 2.03e+04 - 3.79e-04 3.68e-03f 1\n", + " 7r 0.0000000e+00 1.89e+01 2.56e+03 0.7 7.16e+03 - 2.16e-02 1.46e-03f 1\n", + " 8r 0.0000000e+00 6.78e+00 3.44e+03 0.7 1.05e+03 - 8.67e-03 1.74e-02f 1\n", + " 9r 0.0000000e+00 3.44e+00 9.48e+03 0.7 1.40e+02 - 6.67e-03 2.50e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 3.97e+00 9.11e+03 0.7 6.07e+01 - 1.66e-02 4.24e-02f 1\n", + " 11r 0.0000000e+00 4.22e+00 8.77e+03 0.7 2.54e+01 - 1.00e+00 6.44e-02f 1\n", + " 12r 0.0000000e+00 4.16e+00 1.23e+03 0.7 3.29e+00 - 1.00e+00 8.54e-01f 1\n", + " 13r 0.0000000e+00 3.59e+00 2.07e+02 0.7 3.66e+00 - 5.61e-01 1.00e+00f 1\n", + " 14r 0.0000000e+00 2.96e+00 4.16e+01 -0.0 5.02e+00 - 9.99e-01 8.82e-01f 1\n", + " 15r 0.0000000e+00 2.58e+00 4.27e+02 -0.7 2.73e+01 - 4.53e-01 1.07e-01f 1\n", + " 16r 0.0000000e+00 2.56e+00 4.33e+04 -0.7 1.57e+01 - 1.00e+00 1.67e-02f 1\n", + " 17r 0.0000000e+00 2.52e+00 1.78e+04 -0.7 1.25e+01 - 1.00e+00 5.33e-02f 1\n", + " 18r 0.0000000e+00 2.05e+00 3.96e+03 -0.7 1.08e+01 - 1.00e+00 6.10e-01f 1\n", + " 19r 0.0000000e+00 1.94e+00 2.41e+04 -0.7 8.03e+00 - 6.27e-01 1.46e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 1.71e+00 1.95e+04 -0.7 1.31e+01 - 1.39e-02 1.72e-01f 1\n", + " 21r 0.0000000e+00 1.57e+00 1.83e+04 -0.7 1.62e+01 - 4.71e-02 9.11e-02f 1\n", + " 22r 0.0000000e+00 1.48e+00 1.74e+04 -0.7 1.88e+01 - 5.08e-02 5.68e-02f 1\n", + " 23r 0.0000000e+00 1.38e+00 1.69e+04 -0.7 2.03e+01 - 3.87e-02 5.08e-02f 1\n", + " 24r 0.0000000e+00 1.28e+00 1.70e+04 -0.7 2.11e+01 - 3.03e-02 5.48e-02f 1\n", + " 25r 0.0000000e+00 1.25e+00 1.63e+04 -0.7 2.11e+01 - 2.88e-02 1.90e-02f 1\n", + " 26r 0.0000000e+00 1.18e+00 1.47e+04 -0.7 3.23e+01 - 3.64e-02 2.38e-02f 1\n", + " 27r 0.0000000e+00 1.14e+00 1.44e+04 -0.7 2.10e+01 - 2.08e-02 2.36e-02f 1\n", + " 28r 0.0000000e+00 1.08e+00 1.47e+04 -0.7 7.71e+01 - 7.21e-03 9.85e-03f 1\n", + " 29r 0.0000000e+00 1.06e+00 1.44e+04 -0.7 1.61e+01 - 3.49e-02 1.25e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.04e+00 1.41e+04 -0.7 5.75e+00 0.0 8.30e-02 5.19e-02f 1\n", + " 31r 0.0000000e+00 8.90e-01 2.06e+04 -0.7 1.64e+01 - 2.14e-03 1.14e-01f 1\n", + " 32r 0.0000000e+00 8.49e-01 2.04e+04 -0.7 3.27e+03 - 9.39e-05 1.59e-04f 1\n", + " 33r 0.0000000e+00 8.40e-01 1.93e+04 -0.7 2.07e+01 - 3.90e-02 5.49e-03f 1\n", + " 34r 0.0000000e+00 7.18e-01 1.78e+04 -0.7 2.04e+01 -0.5 5.74e-02 7.81e-02f 1\n", + " 35r 0.0000000e+00 7.12e-01 1.74e+04 -0.7 1.51e+01 - 6.25e-02 5.39e-03f 1\n", + " 36r 0.0000000e+00 5.95e-01 1.66e+04 -0.7 5.06e+01 -1.0 2.62e-03 3.07e-02f 1\n", + " 37r 0.0000000e+00 5.91e-01 1.76e+04 -0.7 1.69e+01 - 9.03e-02 3.09e-03f 1\n", + " 38r 0.0000000e+00 4.99e-01 2.45e+04 -0.7 1.37e+02 - 4.39e-04 9.12e-03f 1\n", + " 39r 0.0000000e+00 4.68e-01 1.66e+04 -0.7 4.45e+02 -1.4 8.43e-03 9.79e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 4.39e-01 1.58e+04 -0.7 1.12e+01 - 1.28e-01 3.82e-02f 1\n", + " 41r 0.0000000e+00 3.11e-01 1.56e+04 -0.7 1.88e+02 - 3.01e-04 9.57e-03f 1\n", + " 42r 0.0000000e+00 3.06e-01 1.78e+04 -0.7 1.55e+01 - 1.80e-01 5.42e-03f 1\n", + " 43r 0.0000000e+00 2.83e-01 1.95e+04 -0.7 3.70e+01 - 1.54e-03 6.91e-02f 1\n", + " 44r 0.0000000e+00 2.82e-01 3.14e+04 -0.7 1.91e+01 - 2.18e-01 3.74e-03f 1\n", + " 45r 0.0000000e+00 2.83e-01 2.53e+04 -0.7 2.65e+01 - 2.59e-03 7.36e-02f 1\n", + " 46r 0.0000000e+00 2.77e-01 2.69e+04 -0.7 1.26e+00 - 4.26e-02 2.27e-02f 1\n", + " 47r 0.0000000e+00 2.53e-01 2.41e+04 -0.7 1.00e+00 - 1.10e-01 8.74e-02f 1\n", + " 48r 0.0000000e+00 2.52e-01 2.64e+04 -0.7 9.41e-01 - 7.10e-02 1.20e-03h 1\n", + " 49r 0.0000000e+00 2.49e-01 2.60e+04 -0.7 1.28e+00 - 6.38e-03 1.53e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 2.02e-01 2.16e+04 -0.7 9.05e-01 - 6.69e-03 1.87e-01f 1\n", + " 51r 0.0000000e+00 2.02e-01 2.14e+04 -0.7 7.35e-01 - 1.95e-01 2.70e-03h 1\n", + " 52r 0.0000000e+00 1.64e-01 1.75e+04 -0.7 7.31e-01 - 4.13e-03 1.86e-01f 1\n", + " 53r 0.0000000e+00 1.64e-01 1.74e+04 -0.7 5.94e-01 - 1.01e-01 3.65e-03h 1\n", + " 54r 0.0000000e+00 1.35e-01 1.44e+04 -0.7 5.91e-01 - 5.43e-02 1.75e-01f 1\n", + " 55r 0.0000000e+00 1.34e-01 1.43e+04 -0.7 4.86e-01 - 8.09e-02 7.88e-03f 1\n", + " 56r 0.0000000e+00 1.12e-01 1.19e+04 -0.7 4.82e-01 - 5.49e-02 1.65e-01f 1\n", + " 57r 0.0000000e+00 1.05e-01 1.12e+04 -0.7 4.02e-01 - 8.70e-02 5.82e-02f 1\n", + " 58r 0.0000000e+00 9.02e-02 9.60e+03 -0.7 3.78e-01 - 7.23e-02 1.44e-01f 1\n", + " 59r 0.0000000e+00 8.32e-02 8.85e+03 -0.7 3.23e-01 - 1.08e-01 7.77e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 7.13e-02 7.59e+03 -0.7 2.97e-01 - 1.14e-01 1.43e-01f 1\n", + " 61r 0.0000000e+00 5.97e-02 6.35e+03 -0.7 2.54e-01 - 1.58e-01 1.63e-01f 1\n", + " 62r 0.0000000e+00 4.92e-02 5.24e+03 -0.7 2.12e-01 - 3.19e-01 1.75e-01f 1\n", + " 63r 0.0000000e+00 3.25e-02 3.46e+03 -0.7 1.74e-01 - 4.25e-01 3.41e-01f 1\n", + " 64r 0.0000000e+00 1.05e-02 5.44e+02 -0.7 1.15e-01 - 7.89e-01 8.42e-01f 1\n", + " 65r 0.0000000e+00 1.05e-02 1.27e-01 -0.7 1.77e-02 - 1.00e+00 1.00e+00f 1\n", + " 66r 0.0000000e+00 1.04e-02 4.02e+02 -3.2 4.99e-01 - 9.96e-01 7.70e-01f 1\n", + " 67r 0.0000000e+00 1.28e-03 4.63e+03 -3.2 1.75e+02 - 9.55e-01 1.44e-02f 1\n", + " 68r 0.0000000e+00 1.03e-03 5.51e+03 -3.2 3.42e+00 - 1.00e+00 2.81e-02f 1\n", + " 69r 0.0000000e+00 2.09e-05 1.12e+02 -3.2 4.19e-01 - 1.00e+00 9.80e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 8.74e-08 1.47e-05 -3.2 8.48e-03 - 1.00e+00 1.00e+00f 1\n", + " 71r 0.0000000e+00 4.26e-09 3.97e-01 -7.2 3.66e-05 - 1.00e+00 9.97e-01f 1\n", + "\n", + "Number of Iterations....: 71\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.6492325330122577e-09 4.2566097210568546e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.6492325330122577e-09 4.2566097210568546e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 78\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 78\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 73\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 71\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.076\n", + "Total CPU secs in NLP function evaluations = 0.010\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.699261707746163\n", + "E2_pert : 15.047135137500822\n", + "Ipopt 3.13.3: run_sens=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3371\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 677\n", + "\n", + "Total number of variables............................: 873\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 873\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.40e+01 9.97e+02 2.1 2.11e+04 - 2.06e-03 2.06e-03f 1\n", + " 6r 0.0000000e+00 2.29e+01 9.94e+02 0.7 2.03e+04 - 3.79e-04 3.68e-03f 1\n", + " 7r 0.0000000e+00 1.89e+01 2.56e+03 0.7 7.16e+03 - 2.16e-02 1.46e-03f 1\n", + " 8r 0.0000000e+00 6.78e+00 3.44e+03 0.7 1.05e+03 - 8.67e-03 1.74e-02f 1\n", + " 9r 0.0000000e+00 3.44e+00 9.48e+03 0.7 1.40e+02 - 6.67e-03 2.50e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 3.97e+00 9.11e+03 0.7 6.07e+01 - 1.66e-02 4.24e-02f 1\n", + " 11r 0.0000000e+00 4.22e+00 8.77e+03 0.7 2.54e+01 - 1.00e+00 6.44e-02f 1\n", + " 12r 0.0000000e+00 4.16e+00 1.23e+03 0.7 3.29e+00 - 1.00e+00 8.54e-01f 1\n", + " 13r 0.0000000e+00 3.59e+00 2.07e+02 0.7 3.66e+00 - 5.61e-01 1.00e+00f 1\n", + " 14r 0.0000000e+00 2.96e+00 4.16e+01 -0.0 5.02e+00 - 9.99e-01 8.82e-01f 1\n", + " 15r 0.0000000e+00 2.58e+00 4.27e+02 -0.7 2.73e+01 - 4.53e-01 1.07e-01f 1\n", + " 16r 0.0000000e+00 2.56e+00 4.33e+04 -0.7 1.57e+01 - 1.00e+00 1.67e-02f 1\n", + " 17r 0.0000000e+00 2.52e+00 1.78e+04 -0.7 1.25e+01 - 1.00e+00 5.33e-02f 1\n", + " 18r 0.0000000e+00 2.05e+00 3.96e+03 -0.7 1.08e+01 - 1.00e+00 6.10e-01f 1\n", + " 19r 0.0000000e+00 1.94e+00 2.41e+04 -0.7 8.03e+00 - 6.27e-01 1.46e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 1.71e+00 1.95e+04 -0.7 1.31e+01 - 1.39e-02 1.72e-01f 1\n", + " 21r 0.0000000e+00 1.57e+00 1.83e+04 -0.7 1.62e+01 - 4.71e-02 9.11e-02f 1\n", + " 22r 0.0000000e+00 1.48e+00 1.74e+04 -0.7 1.88e+01 - 5.08e-02 5.68e-02f 1\n", + " 23r 0.0000000e+00 1.38e+00 1.69e+04 -0.7 2.03e+01 - 3.87e-02 5.08e-02f 1\n", + " 24r 0.0000000e+00 1.28e+00 1.70e+04 -0.7 2.11e+01 - 3.03e-02 5.48e-02f 1\n", + " 25r 0.0000000e+00 1.25e+00 1.63e+04 -0.7 2.11e+01 - 2.88e-02 1.90e-02f 1\n", + " 26r 0.0000000e+00 1.18e+00 1.47e+04 -0.7 3.23e+01 - 3.64e-02 2.38e-02f 1\n", + " 27r 0.0000000e+00 1.14e+00 1.44e+04 -0.7 2.10e+01 - 2.08e-02 2.36e-02f 1\n", + " 28r 0.0000000e+00 1.08e+00 1.47e+04 -0.7 7.71e+01 - 7.21e-03 9.85e-03f 1\n", + " 29r 0.0000000e+00 1.06e+00 1.44e+04 -0.7 1.61e+01 - 3.49e-02 1.25e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.04e+00 1.41e+04 -0.7 5.75e+00 0.0 8.30e-02 5.19e-02f 1\n", + " 31r 0.0000000e+00 8.90e-01 2.06e+04 -0.7 1.64e+01 - 2.14e-03 1.14e-01f 1\n", + " 32r 0.0000000e+00 8.49e-01 2.04e+04 -0.7 3.27e+03 - 9.39e-05 1.59e-04f 1\n", + " 33r 0.0000000e+00 8.40e-01 1.93e+04 -0.7 2.07e+01 - 3.90e-02 5.49e-03f 1\n", + " 34r 0.0000000e+00 7.18e-01 1.78e+04 -0.7 2.04e+01 -0.5 5.74e-02 7.81e-02f 1\n", + " 35r 0.0000000e+00 7.12e-01 1.74e+04 -0.7 1.51e+01 - 6.25e-02 5.39e-03f 1\n", + " 36r 0.0000000e+00 5.95e-01 1.66e+04 -0.7 5.06e+01 -1.0 2.62e-03 3.07e-02f 1\n", + " 37r 0.0000000e+00 5.91e-01 1.76e+04 -0.7 1.69e+01 - 9.03e-02 3.09e-03f 1\n", + " 38r 0.0000000e+00 4.99e-01 2.45e+04 -0.7 1.37e+02 - 4.39e-04 9.12e-03f 1\n", + " 39r 0.0000000e+00 4.68e-01 1.66e+04 -0.7 4.45e+02 -1.4 8.43e-03 9.79e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 4.39e-01 1.58e+04 -0.7 1.12e+01 - 1.28e-01 3.82e-02f 1\n", + " 41r 0.0000000e+00 3.11e-01 1.56e+04 -0.7 1.88e+02 - 3.01e-04 9.57e-03f 1\n", + " 42r 0.0000000e+00 3.06e-01 1.78e+04 -0.7 1.55e+01 - 1.80e-01 5.42e-03f 1\n", + " 43r 0.0000000e+00 2.83e-01 1.95e+04 -0.7 3.70e+01 - 1.54e-03 6.91e-02f 1\n", + " 44r 0.0000000e+00 2.82e-01 3.14e+04 -0.7 1.91e+01 - 2.18e-01 3.74e-03f 1\n", + " 45r 0.0000000e+00 2.83e-01 2.53e+04 -0.7 2.65e+01 - 2.59e-03 7.36e-02f 1\n", + " 46r 0.0000000e+00 2.77e-01 2.69e+04 -0.7 1.26e+00 - 4.26e-02 2.27e-02f 1\n", + " 47r 0.0000000e+00 2.53e-01 2.41e+04 -0.7 1.00e+00 - 1.10e-01 8.74e-02f 1\n", + " 48r 0.0000000e+00 2.52e-01 2.64e+04 -0.7 9.41e-01 - 7.10e-02 1.20e-03h 1\n", + " 49r 0.0000000e+00 2.49e-01 2.60e+04 -0.7 1.28e+00 - 6.38e-03 1.53e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 2.02e-01 2.16e+04 -0.7 9.05e-01 - 6.69e-03 1.87e-01f 1\n", + " 51r 0.0000000e+00 2.02e-01 2.14e+04 -0.7 7.35e-01 - 1.95e-01 2.70e-03h 1\n", + " 52r 0.0000000e+00 1.64e-01 1.75e+04 -0.7 7.31e-01 - 4.13e-03 1.86e-01f 1\n", + " 53r 0.0000000e+00 1.64e-01 1.74e+04 -0.7 5.94e-01 - 1.01e-01 3.65e-03h 1\n", + " 54r 0.0000000e+00 1.35e-01 1.44e+04 -0.7 5.91e-01 - 5.43e-02 1.75e-01f 1\n", + " 55r 0.0000000e+00 1.34e-01 1.43e+04 -0.7 4.86e-01 - 8.09e-02 7.88e-03f 1\n", + " 56r 0.0000000e+00 1.12e-01 1.19e+04 -0.7 4.82e-01 - 5.49e-02 1.65e-01f 1\n", + " 57r 0.0000000e+00 1.05e-01 1.12e+04 -0.7 4.02e-01 - 8.70e-02 5.82e-02f 1\n", + " 58r 0.0000000e+00 9.02e-02 9.60e+03 -0.7 3.78e-01 - 7.23e-02 1.44e-01f 1\n", + " 59r 0.0000000e+00 8.32e-02 8.85e+03 -0.7 3.23e-01 - 1.08e-01 7.77e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 7.13e-02 7.59e+03 -0.7 2.97e-01 - 1.14e-01 1.43e-01f 1\n", + " 61r 0.0000000e+00 5.97e-02 6.35e+03 -0.7 2.54e-01 - 1.58e-01 1.63e-01f 1\n", + " 62r 0.0000000e+00 4.92e-02 5.24e+03 -0.7 2.12e-01 - 3.19e-01 1.75e-01f 1\n", + " 63r 0.0000000e+00 3.25e-02 3.46e+03 -0.7 1.74e-01 - 4.25e-01 3.41e-01f 1\n", + " 64r 0.0000000e+00 1.05e-02 5.44e+02 -0.7 1.15e-01 - 7.89e-01 8.42e-01f 1\n", + " 65r 0.0000000e+00 1.05e-02 1.27e-01 -0.7 1.77e-02 - 1.00e+00 1.00e+00f 1\n", + " 66r 0.0000000e+00 1.04e-02 4.02e+02 -3.2 4.99e-01 - 9.96e-01 7.70e-01f 1\n", + " 67r 0.0000000e+00 1.28e-03 4.63e+03 -3.2 1.75e+02 - 9.55e-01 1.44e-02f 1\n", + " 68r 0.0000000e+00 1.03e-03 5.51e+03 -3.2 3.42e+00 - 1.00e+00 2.81e-02f 1\n", + " 69r 0.0000000e+00 2.09e-05 1.12e+02 -3.2 4.19e-01 - 1.00e+00 9.80e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 8.74e-08 1.47e-05 -3.2 8.48e-03 - 1.00e+00 1.00e+00f 1\n", + " 71r 0.0000000e+00 4.26e-09 3.97e-01 -7.2 3.66e-05 - 1.00e+00 9.97e-01f 1\n", + "\n", + "Number of Iterations....: 71\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.6492325330122577e-09 4.2566097210568546e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.6492325330122577e-09 4.2566097210568546e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 78\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 78\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 73\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 71\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.084\n", + "Total CPU secs in NLP function evaluations = 0.011\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 14.896663786125814\n", + "Ipopt 3.13.3: run_sens=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3371\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 677\n", + "\n", + "Total number of variables............................: 873\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 873\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.40e+01 9.97e+02 2.1 2.11e+04 - 2.06e-03 2.06e-03f 1\n", + " 6r 0.0000000e+00 2.29e+01 9.94e+02 0.7 2.03e+04 - 3.79e-04 3.68e-03f 1\n", + " 7r 0.0000000e+00 1.89e+01 2.56e+03 0.7 7.16e+03 - 2.16e-02 1.46e-03f 1\n", + " 8r 0.0000000e+00 6.78e+00 3.44e+03 0.7 1.05e+03 - 8.67e-03 1.74e-02f 1\n", + " 9r 0.0000000e+00 3.44e+00 9.48e+03 0.7 1.40e+02 - 6.67e-03 2.50e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 3.97e+00 9.11e+03 0.7 6.07e+01 - 1.66e-02 4.24e-02f 1\n", + " 11r 0.0000000e+00 4.22e+00 8.77e+03 0.7 2.54e+01 - 1.00e+00 6.44e-02f 1\n", + " 12r 0.0000000e+00 4.16e+00 1.23e+03 0.7 3.29e+00 - 1.00e+00 8.54e-01f 1\n", + " 13r 0.0000000e+00 3.59e+00 2.07e+02 0.7 3.66e+00 - 5.61e-01 1.00e+00f 1\n", + " 14r 0.0000000e+00 2.96e+00 4.16e+01 -0.0 5.02e+00 - 9.99e-01 8.82e-01f 1\n", + " 15r 0.0000000e+00 2.58e+00 4.27e+02 -0.7 2.73e+01 - 4.53e-01 1.07e-01f 1\n", + " 16r 0.0000000e+00 2.56e+00 4.33e+04 -0.7 1.57e+01 - 1.00e+00 1.67e-02f 1\n", + " 17r 0.0000000e+00 2.52e+00 1.78e+04 -0.7 1.25e+01 - 1.00e+00 5.33e-02f 1\n", + " 18r 0.0000000e+00 2.05e+00 3.96e+03 -0.7 1.08e+01 - 1.00e+00 6.10e-01f 1\n", + " 19r 0.0000000e+00 1.94e+00 2.41e+04 -0.7 8.03e+00 - 6.27e-01 1.46e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 1.71e+00 1.95e+04 -0.7 1.31e+01 - 1.39e-02 1.72e-01f 1\n", + " 21r 0.0000000e+00 1.57e+00 1.83e+04 -0.7 1.62e+01 - 4.71e-02 9.11e-02f 1\n", + " 22r 0.0000000e+00 1.48e+00 1.74e+04 -0.7 1.88e+01 - 5.08e-02 5.68e-02f 1\n", + " 23r 0.0000000e+00 1.38e+00 1.69e+04 -0.7 2.03e+01 - 3.87e-02 5.08e-02f 1\n", + " 24r 0.0000000e+00 1.28e+00 1.70e+04 -0.7 2.11e+01 - 3.03e-02 5.48e-02f 1\n", + " 25r 0.0000000e+00 1.25e+00 1.63e+04 -0.7 2.11e+01 - 2.88e-02 1.90e-02f 1\n", + " 26r 0.0000000e+00 1.18e+00 1.47e+04 -0.7 3.23e+01 - 3.64e-02 2.38e-02f 1\n", + " 27r 0.0000000e+00 1.14e+00 1.44e+04 -0.7 2.10e+01 - 2.08e-02 2.36e-02f 1\n", + " 28r 0.0000000e+00 1.08e+00 1.47e+04 -0.7 7.71e+01 - 7.21e-03 9.85e-03f 1\n", + " 29r 0.0000000e+00 1.06e+00 1.44e+04 -0.7 1.61e+01 - 3.49e-02 1.25e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.04e+00 1.41e+04 -0.7 5.75e+00 0.0 8.30e-02 5.19e-02f 1\n", + " 31r 0.0000000e+00 8.90e-01 2.06e+04 -0.7 1.64e+01 - 2.14e-03 1.14e-01f 1\n", + " 32r 0.0000000e+00 8.49e-01 2.04e+04 -0.7 3.27e+03 - 9.39e-05 1.59e-04f 1\n", + " 33r 0.0000000e+00 8.40e-01 1.93e+04 -0.7 2.07e+01 - 3.90e-02 5.49e-03f 1\n", + " 34r 0.0000000e+00 7.18e-01 1.78e+04 -0.7 2.04e+01 -0.5 5.74e-02 7.81e-02f 1\n", + " 35r 0.0000000e+00 7.12e-01 1.74e+04 -0.7 1.51e+01 - 6.25e-02 5.39e-03f 1\n", + " 36r 0.0000000e+00 5.95e-01 1.66e+04 -0.7 5.06e+01 -1.0 2.62e-03 3.07e-02f 1\n", + " 37r 0.0000000e+00 5.91e-01 1.76e+04 -0.7 1.69e+01 - 9.03e-02 3.09e-03f 1\n", + " 38r 0.0000000e+00 4.99e-01 2.45e+04 -0.7 1.37e+02 - 4.39e-04 9.12e-03f 1\n", + " 39r 0.0000000e+00 4.68e-01 1.66e+04 -0.7 4.45e+02 -1.4 8.43e-03 9.79e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 4.39e-01 1.58e+04 -0.7 1.12e+01 - 1.28e-01 3.82e-02f 1\n", + " 41r 0.0000000e+00 3.11e-01 1.56e+04 -0.7 1.88e+02 - 3.01e-04 9.57e-03f 1\n", + " 42r 0.0000000e+00 3.06e-01 1.78e+04 -0.7 1.55e+01 - 1.80e-01 5.42e-03f 1\n", + " 43r 0.0000000e+00 2.83e-01 1.95e+04 -0.7 3.70e+01 - 1.54e-03 6.91e-02f 1\n", + " 44r 0.0000000e+00 2.82e-01 3.14e+04 -0.7 1.91e+01 - 2.18e-01 3.74e-03f 1\n", + " 45r 0.0000000e+00 2.83e-01 2.53e+04 -0.7 2.65e+01 - 2.59e-03 7.36e-02f 1\n", + " 46r 0.0000000e+00 2.77e-01 2.69e+04 -0.7 1.26e+00 - 4.26e-02 2.27e-02f 1\n", + " 47r 0.0000000e+00 2.53e-01 2.41e+04 -0.7 1.00e+00 - 1.10e-01 8.74e-02f 1\n", + " 48r 0.0000000e+00 2.52e-01 2.64e+04 -0.7 9.41e-01 - 7.10e-02 1.20e-03h 1\n", + " 49r 0.0000000e+00 2.49e-01 2.60e+04 -0.7 1.28e+00 - 6.38e-03 1.53e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 2.02e-01 2.16e+04 -0.7 9.05e-01 - 6.69e-03 1.87e-01f 1\n", + " 51r 0.0000000e+00 2.02e-01 2.14e+04 -0.7 7.35e-01 - 1.95e-01 2.70e-03h 1\n", + " 52r 0.0000000e+00 1.64e-01 1.75e+04 -0.7 7.31e-01 - 4.13e-03 1.86e-01f 1\n", + " 53r 0.0000000e+00 1.64e-01 1.74e+04 -0.7 5.94e-01 - 1.01e-01 3.65e-03h 1\n", + " 54r 0.0000000e+00 1.35e-01 1.44e+04 -0.7 5.91e-01 - 5.43e-02 1.75e-01f 1\n", + " 55r 0.0000000e+00 1.34e-01 1.43e+04 -0.7 4.86e-01 - 8.09e-02 7.88e-03f 1\n", + " 56r 0.0000000e+00 1.12e-01 1.19e+04 -0.7 4.82e-01 - 5.49e-02 1.65e-01f 1\n", + " 57r 0.0000000e+00 1.05e-01 1.12e+04 -0.7 4.02e-01 - 8.70e-02 5.82e-02f 1\n", + " 58r 0.0000000e+00 9.02e-02 9.60e+03 -0.7 3.78e-01 - 7.23e-02 1.44e-01f 1\n", + " 59r 0.0000000e+00 8.32e-02 8.85e+03 -0.7 3.23e-01 - 1.08e-01 7.77e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 7.13e-02 7.59e+03 -0.7 2.97e-01 - 1.14e-01 1.43e-01f 1\n", + " 61r 0.0000000e+00 5.97e-02 6.35e+03 -0.7 2.54e-01 - 1.58e-01 1.63e-01f 1\n", + " 62r 0.0000000e+00 4.92e-02 5.24e+03 -0.7 2.12e-01 - 3.19e-01 1.75e-01f 1\n", + " 63r 0.0000000e+00 3.25e-02 3.46e+03 -0.7 1.74e-01 - 4.25e-01 3.41e-01f 1\n", + " 64r 0.0000000e+00 1.05e-02 5.44e+02 -0.7 1.15e-01 - 7.89e-01 8.42e-01f 1\n", + " 65r 0.0000000e+00 1.05e-02 1.27e-01 -0.7 1.77e-02 - 1.00e+00 1.00e+00f 1\n", + " 66r 0.0000000e+00 1.04e-02 4.02e+02 -3.2 4.99e-01 - 9.96e-01 7.70e-01f 1\n", + " 67r 0.0000000e+00 1.28e-03 4.63e+03 -3.2 1.75e+02 - 9.55e-01 1.44e-02f 1\n", + " 68r 0.0000000e+00 1.03e-03 5.51e+03 -3.2 3.42e+00 - 1.00e+00 2.81e-02f 1\n", + " 69r 0.0000000e+00 2.09e-05 1.12e+02 -3.2 4.19e-01 - 1.00e+00 9.80e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 8.74e-08 1.47e-05 -3.2 8.48e-03 - 1.00e+00 1.00e+00f 1\n", + " 71r 0.0000000e+00 4.26e-09 3.97e-01 -7.2 3.66e-05 - 1.00e+00 9.97e-01f 1\n", + "\n", + "Number of Iterations....: 71\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.6492325330122577e-09 4.2566097210568546e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.6492325330122577e-09 4.2566097210568546e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 78\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 78\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 73\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 71\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.078\n", + "Total CPU secs in NLP function evaluations = 0.011\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 34.82842588 8.98465164 -93.24075867 -36.95321685]\n", + " [ 8.98465164 34.72021956 -19.10067921 -169.32118928]\n", + " [ -93.24075867 -19.10067921 261.98359165 82.95164765]\n", + " [ -36.95321685 -169.32118928 82.95164765 876.13524382]]\n", + "Trace: 1207.6674809121441\n", + "Determinant: 560758.4831259692\n", + "Condition number: 1016.698290931099\n", + "Minimal eigen value: 0.9075848753712111\n", + "Eigen values: [9.22739992e+02 2.81642456e+02 9.07584875e-01 2.37744860e+00]\n", + "Eigen vectors: [[ 0.05653299 -0.32983836 -0.77051799 0.54250595]\n", + " [ 0.1886326 0.01601913 0.56994741 0.79957556]\n", + " [-0.13533434 0.9325324 -0.26619805 0.20299395]\n", + " [-0.97103366 -0.14605948 0.10295907 0.15861803]]\n" + ] + } + ], + "source": [ + "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", + " ['CA','CB','CC'], t_measure, createmod,\n", + " prior_FIM=prior_pass, discretize_model=disc)\n", + "\n", + "\n", + "if_s = True\n", + "result = doe_object.compute_FIM(exp1,mode=sensi_opt, FIM_store_name = 'dynamic.csv', scale_nominal_param_value=if_s, formula='central')\n", + "\n", + "\n", + "if sensi_opt == 'simultaneous_finite':\n", + " result.extract_FIM(doe_object.m, doe_object.design_timeset,\n", + " doe_object.square_result, doe_object.obj_opt)\n", + "else:\n", + " result.calculate_FIM(doe_object.jac, doe_object.design_values)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "64fc6da4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "Four design criteria log10() value:\n", + "A-optimality: 3.081947372129281\n", + "D-optimality: 5.748775852289656\n", + "E-optimality: -0.042112750113627556\n", + "Modified E-optimality: 3.0071920935090257\n" + ] + } + ], + "source": [ + "print('======Result summary======')\n", + "print('Four design criteria log10() value:')\n", + "print('A-optimality:', np.log10(result.trace))\n", + "print('D-optimality:', np.log10(result.det))\n", + "print('E-optimality:', np.log10(result.min_eig))\n", + "print('Modified E-optimality:', np.log10(result.cond))" + ] + }, + { + "cell_type": "markdown", + "id": "7dfe1ef2", + "metadata": {}, + "source": [ + "### Run sequential DOE automatically\n", + "\n", + "This method runs a series of experiments in a row." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "5273a9af", + "metadata": {}, + "outputs": [], + "source": [ + "exp1 = generate_exp(t_control, 5, [300])\n", + "exp2 = generate_exp(t_control, 5, [500.92])\n", + "exp3 = generate_exp(t_control, 5, [528])\n", + "exp4 = generate_exp(t_control, 5, [546.8])\n", + "exp5 = generate_exp(t_control, 5, [562])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "940683df", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "========This is the No. 0 experiment.========\n", + "Design variables: {'CA0': {0: 5}, 'T': {0: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 3.13e-09 5.69e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1284876911286119e-09 3.1284876911286119e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1284876911286119e-09 3.1284876911286119e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 3.13e-09 5.69e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1259617117029848e-09 3.1259617117029848e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1259617117029848e-09 3.1259617117029848e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.87e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.87e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 3.13e-09 5.72e-05 -1.0 1.85e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1282993973036355e-09 3.1282993973036355e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1282993973036355e-09 3.1282993973036355e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 3.12e-09 5.73e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1249562937318842e-09 3.1249562937318842e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1249562937318842e-09 3.1249562937318842e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.87e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.87e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 3.12e-09 5.71e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1229880903538287e-09 3.1229880903538287e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1229880903538287e-09 3.1229880903538287e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 3.13e-09 5.70e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1255140697794559e-09 3.1255140697794559e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1255140697794559e-09 3.1255140697794559e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 3.12e-09 5.67e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1231515151830536e-09 3.1231515151830536e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1231515151830536e-09 3.1231515151830536e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 3.13e-09 5.66e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1265265931779140e-09 3.1265265931779140e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1265265931779140e-09 3.1265265931779140e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Existed information has been added.\n", + "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", + " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", + " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", + " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", + "Trace: 1981.0422198461438\n", + "Determinant: 561207.9662178434\n", + "Condition number: 2950.219453820002\n", + "Minimal eigen value: 0.5016011129279737\n", + "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", + "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", + " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", + " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", + " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", + "========This is the No. 1 experiment.========\n", + "Design variables: {'CA0': {0: 5}, 'T': {0: 500.92}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.25e+02 2.36e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.25e+02 - 1.57e-01 5.72e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.52e+03 -1.0 1.17e+02 - 2.63e-01 8.72e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.40e+01 4.15e+04 2.1 2.04e+04 - 8.70e-03 2.37e-03f 1\n", + " 6r 0.0000000e+00 6.31e+01 4.14e+04 2.1 1.36e+04 - 5.46e-03 1.70e-03f 1\n", + " 7r 0.0000000e+00 3.91e+01 3.82e+04 2.1 8.53e+03 - 2.64e-02 2.86e-03f 1\n", + " 8r 0.0000000e+00 1.24e+01 3.06e+04 2.1 2.03e+03 - 7.54e-02 1.59e-02f 1\n", + " 9r 0.0000000e+00 6.91e+00 2.49e+04 2.1 1.57e+02 - 8.06e-02 3.64e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.37e+00 1.90e+04 2.1 1.28e+02 - 8.74e-02 3.85e-02f 1\n", + " 11r 0.0000000e+00 4.08e+00 1.29e+04 2.1 1.11e+02 - 1.61e-01 7.20e-02f 1\n", + " 12r 0.0000000e+00 2.87e+00 1.24e+04 2.1 8.55e+01 - 2.28e-01 1.47e-01f 1\n", + " 13r 0.0000000e+00 2.45e+00 9.50e+03 2.1 4.43e+01 - 4.35e-01 1.96e-01f 1\n", + " 14r 0.0000000e+00 9.07e-01 7.36e+03 2.1 2.88e+01 - 7.88e-01 3.44e-01f 1\n", + " 15r 0.0000000e+00 2.38e-01 1.38e+03 1.4 3.27e+00 - 1.00e+00 6.83e-01f 1\n", + " 16r 0.0000000e+00 1.79e-01 7.60e+02 0.7 2.76e+00 - 1.00e+00 5.57e-01f 1\n", + " 17r 0.0000000e+00 7.22e-02 2.59e+02 0.7 5.48e+00 - 8.55e-01 7.65e-01f 1\n", + " 18r 0.0000000e+00 4.95e-02 9.28e+02 -0.0 1.26e+00 - 9.84e-01 6.53e-01f 1\n", + " 19r 0.0000000e+00 5.16e-02 2.23e+03 -0.0 5.25e+00 - 1.00e+00 2.46e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.53e-02 5.01e+02 -0.0 3.18e+00 - 1.00e+00 8.03e-01f 1\n", + " 21r 0.0000000e+00 3.42e-02 1.67e-02 -0.0 6.75e-01 - 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 3.26e-02 3.37e+02 -2.1 7.70e-01 - 9.96e-01 7.61e-01f 1\n", + " 23r 0.0000000e+00 2.34e-02 2.70e+03 -2.1 6.20e+01 - 9.58e-01 4.89e-02f 1\n", + " 24r 0.0000000e+00 1.43e-02 3.23e+03 -2.1 4.74e+01 - 1.00e+00 5.95e-02f 1\n", + " 25r 0.0000000e+00 8.65e-03 3.32e+03 -2.1 3.68e+01 - 1.00e+00 7.68e-02f 1\n", + " 26r 0.0000000e+00 5.38e-03 2.74e+03 -2.1 3.27e+00 - 1.00e+00 2.32e-01f 1\n", + " 27r 0.0000000e+00 1.32e-04 1.52e+02 -2.1 1.23e+00 - 1.00e+00 9.58e-01f 1\n", + " 28r 0.0000000e+00 3.80e-06 8.66e-05 -2.1 4.80e-02 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 5.42e-07 1.64e+01 -4.8 1.58e-03 - 1.00e+00 9.70e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.08e-07 4.72e+01 -4.8 1.02e-04 - 1.00e+00 8.01e-01f 1\n", + " 31r 0.0000000e+00 3.54e-10 1.93e-09 -4.8 3.06e-05 - 1.00e+00 1.00e+00f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Number of Iterations....: 31\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.5396396924625151e-10 3.5396396924625151e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.5396396924625151e-10 3.5396396924625151e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 38\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 38\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 33\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 31\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.034\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.25e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.25e+02 - 1.57e-01 5.71e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.62e-01 8.69e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.73e-07R 6\n", + " 5r 0.0000000e+00 8.40e+01 4.15e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", + " 6r 0.0000000e+00 6.32e+01 4.14e+04 2.1 1.36e+04 - 5.48e-03 1.69e-03f 1\n", + " 7r 0.0000000e+00 3.90e+01 3.83e+04 2.1 8.53e+03 - 2.62e-02 2.88e-03f 1\n", + " 8r 0.0000000e+00 1.24e+01 3.06e+04 2.1 2.03e+03 - 7.54e-02 1.59e-02f 1\n", + " 9r 0.0000000e+00 6.91e+00 2.50e+04 2.1 1.57e+02 - 8.07e-02 3.63e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.36e+00 1.91e+04 2.1 1.28e+02 - 8.72e-02 3.85e-02f 1\n", + " 11r 0.0000000e+00 4.08e+00 1.29e+04 2.1 1.11e+02 - 1.61e-01 7.21e-02f 1\n", + " 12r 0.0000000e+00 2.87e+00 1.24e+04 2.1 8.55e+01 - 2.28e-01 1.46e-01f 1\n", + " 13r 0.0000000e+00 2.45e+00 9.54e+03 2.1 4.42e+01 - 4.35e-01 1.96e-01f 1\n", + " 14r 0.0000000e+00 9.07e-01 7.00e+03 2.1 2.88e+01 - 7.78e-01 3.44e-01f 1\n", + " 15r 0.0000000e+00 2.40e-01 1.39e+03 1.4 3.30e+00 - 1.00e+00 6.78e-01f 1\n", + " 16r 0.0000000e+00 1.78e-01 7.54e+02 0.7 2.77e+00 - 1.00e+00 5.57e-01f 1\n", + " 17r 0.0000000e+00 7.22e-02 2.72e+02 0.7 5.49e+00 - 8.61e-01 7.62e-01f 1\n", + " 18r 0.0000000e+00 4.96e-02 9.28e+02 -0.0 1.27e+00 - 9.83e-01 6.52e-01f 1\n", + " 19r 0.0000000e+00 5.17e-02 2.23e+03 -0.0 5.25e+00 - 1.00e+00 2.47e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.53e-02 5.08e+02 -0.0 3.18e+00 - 1.00e+00 8.03e-01f 1\n", + " 21r 0.0000000e+00 3.42e-02 1.73e-02 -0.0 6.73e-01 - 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 3.26e-02 3.38e+02 -2.1 7.70e-01 - 9.96e-01 7.61e-01f 1\n", + " 23r 0.0000000e+00 2.34e-02 2.70e+03 -2.1 6.20e+01 - 9.58e-01 4.89e-02f 1\n", + " 24r 0.0000000e+00 1.43e-02 3.22e+03 -2.1 4.74e+01 - 1.00e+00 5.94e-02f 1\n", + " 25r 0.0000000e+00 8.65e-03 3.32e+03 -2.1 3.68e+01 - 1.00e+00 7.68e-02f 1\n", + " 26r 0.0000000e+00 5.38e-03 2.74e+03 -2.1 3.27e+00 - 1.00e+00 2.31e-01f 1\n", + " 27r 0.0000000e+00 1.32e-04 1.53e+02 -2.1 1.23e+00 - 1.00e+00 9.58e-01f 1\n", + " 28r 0.0000000e+00 3.80e-06 8.40e-05 -2.1 4.80e-02 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 5.37e-07 1.62e+01 -4.8 1.58e-03 - 1.00e+00 9.70e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.07e-07 4.71e+01 -4.8 1.01e-04 - 1.00e+00 8.01e-01f 1\n", + " 31r 0.0000000e+00 3.54e-10 1.92e-09 -4.8 3.04e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 31\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.5360425698627296e-10 3.5360425698627296e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.5360425698627296e-10 3.5360425698627296e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 38\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 38\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 33\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 31\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.032\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.24e+02 - 1.57e-01 5.66e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.56e+03 -1.0 1.17e+02 - 2.62e-01 8.57e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.70e-07R 6\n", + " 5r 0.0000000e+00 8.40e+01 4.17e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", + " 6r 0.0000000e+00 6.35e+01 4.17e+04 2.1 1.36e+04 - 5.58e-03 1.66e-03f 1\n", + " 7r 0.0000000e+00 3.84e+01 3.87e+04 2.1 8.52e+03 - 2.54e-02 2.99e-03f 1\n", + " 8r 0.0000000e+00 1.23e+01 3.09e+04 2.1 2.02e+03 - 7.58e-02 1.60e-02f 1\n", + " 9r 0.0000000e+00 6.89e+00 2.54e+04 2.1 1.56e+02 - 8.11e-02 3.63e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.32e+00 1.95e+04 2.1 1.28e+02 - 8.64e-02 3.86e-02f 1\n", + " 11r 0.0000000e+00 4.03e+00 1.30e+04 2.1 1.11e+02 - 1.64e-01 7.24e-02f 1\n", + " 12r 0.0000000e+00 2.86e+00 1.25e+04 2.1 8.51e+01 - 2.29e-01 1.46e-01f 1\n", + " 13r 0.0000000e+00 2.44e+00 9.53e+03 2.1 4.40e+01 - 4.39e-01 1.97e-01f 1\n", + " 14r 0.0000000e+00 9.02e-01 6.19e+03 2.1 2.86e+01 - 7.47e-01 3.45e-01f 1\n", + " 15r 0.0000000e+00 2.45e-01 1.38e+03 1.4 3.38e+00 - 1.00e+00 6.64e-01f 1\n", + " 16r 0.0000000e+00 1.78e-01 7.41e+02 0.7 2.80e+00 - 1.00e+00 5.57e-01f 1\n", + " 17r 0.0000000e+00 7.35e-02 3.15e+02 0.7 5.51e+00 - 8.79e-01 7.55e-01f 1\n", + " 18r 0.0000000e+00 5.06e-02 9.30e+02 -0.0 1.28e+00 - 9.80e-01 6.50e-01f 1\n", + " 19r 0.0000000e+00 5.18e-02 2.22e+03 -0.0 5.30e+00 - 1.00e+00 2.49e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.53e-02 5.30e+02 -0.0 3.17e+00 - 1.00e+00 7.99e-01f 1\n", + " 21r 0.0000000e+00 3.41e-02 1.94e-02 -0.0 6.88e-01 - 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 3.25e-02 3.41e+02 -2.1 7.67e-01 - 9.95e-01 7.60e-01f 1\n", + " 23r 0.0000000e+00 2.32e-02 2.68e+03 -2.1 6.18e+01 - 9.58e-01 4.94e-02f 1\n", + " 24r 0.0000000e+00 1.41e-02 3.21e+03 -2.1 4.72e+01 - 1.00e+00 5.99e-02f 1\n", + " 25r 0.0000000e+00 8.53e-03 3.31e+03 -2.1 3.67e+01 - 1.00e+00 7.71e-02f 1\n", + " 26r 0.0000000e+00 5.40e-03 2.76e+03 -2.1 3.17e+00 - 1.00e+00 2.28e-01f 1\n", + " 27r 0.0000000e+00 1.25e-04 1.49e+02 -2.1 1.22e+00 - 1.00e+00 9.60e-01f 1\n", + " 28r 0.0000000e+00 3.82e-06 8.18e-05 -2.1 4.56e-02 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 5.25e-07 1.56e+01 -4.8 1.58e-03 - 1.00e+00 9.71e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.04e-07 4.66e+01 -4.8 9.97e-05 - 1.00e+00 8.02e-01f 1\n", + " 31r 0.0000000e+00 3.53e-10 1.90e-09 -4.8 3.00e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 31\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.5262992525986192e-10 3.5262992525986192e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.5262992525986192e-10 3.5262992525986192e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 38\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 38\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 33\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 31\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.034\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.25e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.25e+02 - 1.57e-01 5.71e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.52e+03 -1.0 1.17e+02 - 2.62e-01 8.69e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.73e-07R 6\n", + " 5r 0.0000000e+00 8.39e+01 4.15e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", + " 6r 0.0000000e+00 6.32e+01 4.14e+04 2.1 1.36e+04 - 5.53e-03 1.69e-03f 1\n", + " 7r 0.0000000e+00 3.88e+01 3.83e+04 2.1 8.51e+03 - 2.60e-02 2.90e-03f 1\n", + " 8r 0.0000000e+00 1.23e+01 3.06e+04 2.1 2.03e+03 - 7.52e-02 1.60e-02f 1\n", + " 9r 0.0000000e+00 6.89e+00 2.50e+04 2.1 1.57e+02 - 8.07e-02 3.63e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.34e+00 1.91e+04 2.1 1.28e+02 - 8.70e-02 3.85e-02f 1\n", + " 11r 0.0000000e+00 4.05e+00 1.29e+04 2.1 1.11e+02 - 1.63e-01 7.22e-02f 1\n", + " 12r 0.0000000e+00 2.87e+00 1.24e+04 2.1 8.53e+01 - 2.28e-01 1.46e-01f 1\n", + " 13r 0.0000000e+00 2.44e+00 9.52e+03 2.1 4.42e+01 - 4.36e-01 1.97e-01f 1\n", + " 14r 0.0000000e+00 9.04e-01 7.21e+03 2.1 2.86e+01 - 7.81e-01 3.44e-01f 1\n", + " 15r 0.0000000e+00 2.38e-01 1.36e+03 1.4 3.29e+00 - 1.00e+00 6.80e-01f 1\n", + " 16r 0.0000000e+00 1.79e-01 7.56e+02 0.7 2.76e+00 - 1.00e+00 5.58e-01f 1\n", + " 17r 0.0000000e+00 7.32e-02 2.69e+02 0.7 5.48e+00 - 8.62e-01 7.64e-01f 1\n", + " 18r 0.0000000e+00 5.03e-02 9.27e+02 -0.0 1.26e+00 - 9.84e-01 6.53e-01f 1\n", + " 19r 0.0000000e+00 5.15e-02 2.24e+03 -0.0 5.29e+00 - 1.00e+00 2.45e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.52e-02 5.09e+02 -0.0 3.17e+00 - 1.00e+00 7.99e-01f 1\n", + " 21r 0.0000000e+00 3.41e-02 1.72e-02 -0.0 6.84e-01 - 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 3.24e-02 3.36e+02 -2.1 7.66e-01 - 9.95e-01 7.61e-01f 1\n", + " 23r 0.0000000e+00 2.32e-02 2.69e+03 -2.1 6.18e+01 - 9.58e-01 4.95e-02f 1\n", + " 24r 0.0000000e+00 1.40e-02 3.22e+03 -2.1 4.71e+01 - 1.00e+00 6.03e-02f 1\n", + " 25r 0.0000000e+00 8.49e-03 3.32e+03 -2.1 3.66e+01 - 1.00e+00 7.68e-02f 1\n", + " 26r 0.0000000e+00 5.37e-03 2.74e+03 -2.1 3.13e+00 - 1.00e+00 2.30e-01f 1\n", + " 27r 0.0000000e+00 1.22e-04 1.43e+02 -2.1 1.22e+00 - 1.00e+00 9.61e-01f 1\n", + " 28r 0.0000000e+00 3.82e-06 8.63e-05 -2.1 4.44e-02 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 5.33e-07 1.59e+01 -4.8 1.58e-03 - 1.00e+00 9.70e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.05e-07 4.66e+01 -4.8 1.01e-04 - 1.00e+00 8.02e-01f 1\n", + " 31r 0.0000000e+00 3.52e-10 1.93e-09 -4.8 3.04e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 31\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.5229241746037587e-10 3.5229241746037587e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.5229241746037587e-10 3.5229241746037587e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 38\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 38\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 33\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 31\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.24e+02 - 1.57e-01 5.69e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.54e+03 -1.0 1.17e+02 - 2.62e-01 8.66e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.72e-07R 6\n", + " 5r 0.0000000e+00 8.39e+01 4.16e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", + " 6r 0.0000000e+00 6.33e+01 4.15e+04 2.1 1.36e+04 - 5.52e-03 1.68e-03f 1\n", + " 7r 0.0000000e+00 3.87e+01 3.84e+04 2.1 8.52e+03 - 2.60e-02 2.92e-03f 1\n", + " 8r 0.0000000e+00 1.23e+01 3.07e+04 2.1 2.03e+03 - 7.56e-02 1.60e-02f 1\n", + " 9r 0.0000000e+00 6.91e+00 2.51e+04 2.1 1.57e+02 - 8.07e-02 3.63e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.35e+00 1.92e+04 2.1 1.28e+02 - 8.70e-02 3.85e-02f 1\n", + " 11r 0.0000000e+00 4.06e+00 1.29e+04 2.1 1.11e+02 - 1.62e-01 7.22e-02f 1\n", + " 12r 0.0000000e+00 2.87e+00 1.24e+04 2.1 8.54e+01 - 2.28e-01 1.46e-01f 1\n", + " 13r 0.0000000e+00 2.44e+00 9.56e+03 2.1 4.42e+01 - 4.36e-01 1.96e-01f 1\n", + " 14r 0.0000000e+00 9.06e-01 6.65e+03 2.1 2.87e+01 - 7.65e-01 3.44e-01f 1\n", + " 15r 0.0000000e+00 2.42e-01 1.39e+03 1.4 3.33e+00 - 1.00e+00 6.72e-01f 1\n", + " 16r 0.0000000e+00 1.78e-01 7.48e+02 0.7 2.78e+00 - 1.00e+00 5.57e-01f 1\n", + " 17r 0.0000000e+00 7.25e-02 2.88e+02 0.7 5.49e+00 - 8.68e-01 7.59e-01f 1\n", + " 18r 0.0000000e+00 4.98e-02 9.28e+02 -0.0 1.27e+00 - 9.82e-01 6.51e-01f 1\n", + " 19r 0.0000000e+00 5.17e-02 2.23e+03 -0.0 5.26e+00 - 1.00e+00 2.48e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.52e-02 5.14e+02 -0.0 3.18e+00 - 1.00e+00 8.03e-01f 1\n", + " 21r 0.0000000e+00 3.41e-02 1.79e-02 -0.0 6.76e-01 - 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 3.25e-02 3.39e+02 -2.1 7.69e-01 - 9.96e-01 7.60e-01f 1\n", + " 23r 0.0000000e+00 2.33e-02 2.69e+03 -2.1 6.19e+01 - 9.58e-01 4.91e-02f 1\n", + " 24r 0.0000000e+00 1.42e-02 3.21e+03 -2.1 4.73e+01 - 1.00e+00 5.97e-02f 1\n", + " 25r 0.0000000e+00 8.60e-03 3.32e+03 -2.1 3.67e+01 - 1.00e+00 7.67e-02f 1\n", + " 26r 0.0000000e+00 5.37e-03 2.74e+03 -2.1 3.22e+00 - 1.00e+00 2.32e-01f 1\n", + " 27r 0.0000000e+00 1.28e-04 1.50e+02 -2.1 1.22e+00 - 1.00e+00 9.59e-01f 1\n", + " 28r 0.0000000e+00 3.80e-06 8.23e-05 -2.1 4.66e-02 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 5.31e-07 1.59e+01 -4.8 1.58e-03 - 1.00e+00 9.70e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.05e-07 4.68e+01 -4.8 1.00e-04 - 1.00e+00 8.02e-01f 1\n", + " 31r 0.0000000e+00 3.53e-10 1.90e-09 -4.8 3.01e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 31\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.5265834696929232e-10 3.5265834696929232e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.5265834696929232e-10 3.5265834696929232e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 38\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 38\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 33\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 31\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.25e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.25e+02 - 1.57e-01 5.71e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.62e-01 8.69e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.73e-07R 6\n", + " 5r 0.0000000e+00 8.40e+01 4.15e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", + " 6r 0.0000000e+00 6.32e+01 4.14e+04 2.1 1.36e+04 - 5.49e-03 1.69e-03f 1\n", + " 7r 0.0000000e+00 3.88e+01 3.83e+04 2.1 8.53e+03 - 2.61e-02 2.89e-03f 1\n", + " 8r 0.0000000e+00 1.24e+01 3.06e+04 2.1 2.03e+03 - 7.55e-02 1.60e-02f 1\n", + " 9r 0.0000000e+00 6.91e+00 2.50e+04 2.1 1.57e+02 - 8.05e-02 3.63e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.35e+00 1.91e+04 2.1 1.28e+02 - 8.72e-02 3.85e-02f 1\n", + " 11r 0.0000000e+00 4.07e+00 1.29e+04 2.1 1.11e+02 - 1.62e-01 7.21e-02f 1\n", + " 12r 0.0000000e+00 2.87e+00 1.24e+04 2.1 8.54e+01 - 2.28e-01 1.46e-01f 1\n", + " 13r 0.0000000e+00 2.44e+00 9.52e+03 2.1 4.42e+01 - 4.36e-01 1.96e-01f 1\n", + " 14r 0.0000000e+00 9.06e-01 7.12e+03 2.1 2.87e+01 - 7.80e-01 3.44e-01f 1\n", + " 15r 0.0000000e+00 2.39e-01 1.38e+03 1.4 3.29e+00 - 1.00e+00 6.79e-01f 1\n", + " 16r 0.0000000e+00 1.78e-01 7.55e+02 0.7 2.76e+00 - 1.00e+00 5.57e-01f 1\n", + " 17r 0.0000000e+00 7.25e-02 2.69e+02 0.7 5.48e+00 - 8.60e-01 7.63e-01f 1\n", + " 18r 0.0000000e+00 4.97e-02 9.27e+02 -0.0 1.27e+00 - 9.83e-01 6.52e-01f 1\n", + " 19r 0.0000000e+00 5.16e-02 2.23e+03 -0.0 5.26e+00 - 1.00e+00 2.46e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.52e-02 5.06e+02 -0.0 3.18e+00 - 1.00e+00 8.02e-01f 1\n", + " 21r 0.0000000e+00 3.41e-02 1.71e-02 -0.0 6.77e-01 - 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 3.25e-02 3.37e+02 -2.1 7.69e-01 - 9.95e-01 7.61e-01f 1\n", + " 23r 0.0000000e+00 2.33e-02 2.69e+03 -2.1 6.19e+01 - 9.58e-01 4.91e-02f 1\n", + " 24r 0.0000000e+00 1.42e-02 3.22e+03 -2.1 4.73e+01 - 1.00e+00 5.98e-02f 1\n", + " 25r 0.0000000e+00 8.60e-03 3.32e+03 -2.1 3.67e+01 - 1.00e+00 7.67e-02f 1\n", + " 26r 0.0000000e+00 5.37e-03 2.74e+03 -2.1 3.22e+00 - 1.00e+00 2.32e-01f 1\n", + " 27r 0.0000000e+00 1.28e-04 1.49e+02 -2.1 1.22e+00 - 1.00e+00 9.59e-01f 1\n", + " 28r 0.0000000e+00 3.81e-06 8.48e-05 -2.1 4.65e-02 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 5.35e-07 1.61e+01 -4.8 1.58e-03 - 1.00e+00 9.70e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.06e-07 4.69e+01 -4.8 1.01e-04 - 1.00e+00 8.02e-01f 1\n", + " 31r 0.0000000e+00 3.53e-10 1.92e-09 -4.8 3.04e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 31\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.5302250012136938e-10 3.5302250012136938e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.5302250012136938e-10 3.5302250012136938e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 38\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 38\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 33\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 31\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.25e+02 2.36e+01 -1.0 1.98e+02 - 1.48e-02 3.70e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.25e+02 - 1.57e-01 5.76e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.49e+03 -1.0 1.17e+02 - 2.63e-01 8.81e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.77e-07R 6\n", + " 5r 0.0000000e+00 8.39e+01 4.13e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", + " 6r 0.0000000e+00 6.28e+01 4.11e+04 2.1 1.36e+04 - 5.41e-03 1.72e-03f 1\n", + " 7r 0.0000000e+00 3.94e+01 3.79e+04 2.1 8.53e+03 - 2.67e-02 2.78e-03f 1\n", + " 8r 0.0000000e+00 1.24e+01 3.04e+04 2.1 2.03e+03 - 7.48e-02 1.59e-02f 1\n", + " 9r 0.0000000e+00 6.91e+00 2.47e+04 2.1 1.57e+02 - 8.01e-02 3.64e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.38e+00 1.88e+04 2.1 1.28e+02 - 8.78e-02 3.83e-02f 1\n", + " 11r 0.0000000e+00 4.10e+00 1.29e+04 2.1 1.11e+02 - 1.60e-01 7.17e-02f 1\n", + " 12r 0.0000000e+00 2.88e+00 1.24e+04 2.1 8.58e+01 - 2.27e-01 1.47e-01f 1\n", + " 13r 0.0000000e+00 2.45e+00 9.51e+03 2.1 4.44e+01 - 4.32e-01 1.96e-01f 1\n", + " 14r 0.0000000e+00 9.07e-01 7.42e+03 2.1 2.88e+01 - 7.92e-01 3.44e-01f 1\n", + " 15r 0.0000000e+00 2.35e-01 1.35e+03 1.4 3.25e+00 - 1.00e+00 6.86e-01f 1\n", + " 16r 0.0000000e+00 1.78e-01 7.64e+02 0.7 2.74e+00 - 1.00e+00 5.57e-01f 1\n", + " 17r 0.0000000e+00 7.13e-02 2.51e+02 0.7 5.47e+00 - 8.50e-01 7.66e-01f 1\n", + " 18r 0.0000000e+00 4.98e-02 9.29e+02 -0.0 1.26e+00 - 9.85e-01 6.53e-01f 1\n", + " 19r 0.0000000e+00 5.15e-02 2.23e+03 -0.0 5.22e+00 - 1.00e+00 2.46e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.53e-02 4.90e+02 -0.0 3.18e+00 - 1.00e+00 8.07e-01f 1\n", + " 21r 0.0000000e+00 3.42e-02 1.57e-02 -0.0 6.62e-01 - 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 3.26e-02 3.36e+02 -2.1 7.72e-01 - 9.96e-01 7.62e-01f 1\n", + " 23r 0.0000000e+00 2.35e-02 2.71e+03 -2.1 6.21e+01 - 9.58e-01 4.86e-02f 1\n", + " 24r 0.0000000e+00 1.44e-02 3.23e+03 -2.1 4.76e+01 - 1.00e+00 5.92e-02f 1\n", + " 25r 0.0000000e+00 8.72e-03 3.33e+03 -2.1 3.68e+01 - 1.00e+00 7.65e-02f 1\n", + " 26r 0.0000000e+00 5.36e-03 2.72e+03 -2.1 3.32e+00 - 1.00e+00 2.35e-01f 1\n", + " 27r 0.0000000e+00 1.35e-04 1.54e+02 -2.1 1.22e+00 - 1.00e+00 9.57e-01f 1\n", + " 28r 0.0000000e+00 3.80e-06 8.72e-05 -2.1 4.91e-02 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 5.47e-07 1.67e+01 -4.8 1.57e-03 - 1.00e+00 9.69e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.09e-07 4.73e+01 -4.8 1.03e-04 - 1.00e+00 8.00e-01f 1\n", + " 31r 0.0000000e+00 3.54e-10 1.93e-09 -4.8 3.07e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 31\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.5395952835415301e-10 3.5395952835415301e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.5395952835415301e-10 3.5395952835415301e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 38\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 38\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 33\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 31\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.034\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.25e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.25e+02 - 1.57e-01 5.71e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.69e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.73e-07R 6\n", + " 5r 0.0000000e+00 8.40e+01 4.16e+04 2.1 2.04e+04 - 8.70e-03 2.37e-03f 1\n", + " 6r 0.0000000e+00 6.32e+01 4.15e+04 2.1 1.36e+04 - 5.45e-03 1.69e-03f 1\n", + " 7r 0.0000000e+00 3.90e+01 3.84e+04 2.1 8.55e+03 - 2.64e-02 2.87e-03f 1\n", + " 8r 0.0000000e+00 1.24e+01 3.07e+04 2.1 2.03e+03 - 7.58e-02 1.59e-02f 1\n", + " 9r 0.0000000e+00 6.93e+00 2.50e+04 2.1 1.57e+02 - 8.06e-02 3.64e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.38e+00 1.91e+04 2.1 1.28e+02 - 8.73e-02 3.85e-02f 1\n", + " 11r 0.0000000e+00 4.09e+00 1.29e+04 2.1 1.11e+02 - 1.60e-01 7.20e-02f 1\n", + " 12r 0.0000000e+00 2.88e+00 1.24e+04 2.1 8.56e+01 - 2.27e-01 1.47e-01f 1\n", + " 13r 0.0000000e+00 2.46e+00 9.54e+03 2.1 4.42e+01 - 4.34e-01 1.95e-01f 1\n", + " 14r 0.0000000e+00 9.09e-01 7.00e+03 2.1 2.88e+01 - 7.79e-01 3.45e-01f 1\n", + " 15r 0.0000000e+00 2.41e-01 1.40e+03 1.4 3.29e+00 - 1.00e+00 6.78e-01f 1\n", + " 16r 0.0000000e+00 1.78e-01 7.54e+02 0.7 2.77e+00 - 1.00e+00 5.56e-01f 1\n", + " 17r 0.0000000e+00 7.14e-02 2.69e+02 0.7 5.48e+00 - 8.58e-01 7.62e-01f 1\n", + " 18r 0.0000000e+00 5.00e-02 9.29e+02 -0.0 1.27e+00 - 9.83e-01 6.51e-01f 1\n", + " 19r 0.0000000e+00 5.17e-02 2.22e+03 -0.0 5.22e+00 - 1.00e+00 2.48e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.54e-02 5.02e+02 -0.0 3.19e+00 - 1.00e+00 8.06e-01f 1\n", + " 21r 0.0000000e+00 3.43e-02 1.71e-02 -0.0 6.67e-01 - 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 3.26e-02 3.39e+02 -2.1 7.72e-01 - 9.97e-01 7.61e-01f 1\n", + " 23r 0.0000000e+00 2.36e-02 2.70e+03 -2.1 6.22e+01 - 9.58e-01 4.86e-02f 1\n", + " 24r 0.0000000e+00 1.45e-02 3.22e+03 -2.1 4.76e+01 - 1.00e+00 5.89e-02f 1\n", + " 25r 0.0000000e+00 8.76e-03 3.32e+03 -2.1 3.69e+01 - 1.00e+00 7.67e-02f 1\n", + " 26r 0.0000000e+00 5.38e-03 2.73e+03 -2.1 3.37e+00 - 1.00e+00 2.33e-01f 1\n", + " 27r 0.0000000e+00 1.38e-04 1.60e+02 -2.1 1.23e+00 - 1.00e+00 9.56e-01f 1\n", + " 28r 0.0000000e+00 3.81e-06 8.20e-05 -2.1 5.04e-02 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 5.40e-07 1.64e+01 -4.8 1.57e-03 - 1.00e+00 9.70e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.08e-07 4.73e+01 -4.8 1.02e-04 - 1.00e+00 8.00e-01f 1\n", + " 31r 0.0000000e+00 3.54e-10 1.91e-09 -4.8 3.03e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 31\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.5433522782568616e-10 3.5433522782568616e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.5433522782568616e-10 3.5433522782568616e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 38\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 38\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 33\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 31\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.034\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Existed information has been added.\n", + "FIM: [[ 57.32457017 10.81038482 -163.3989912 -47.97912452]\n", + " [ 10.81038482 52.75932055 -24.79938078 -278.23002524]\n", + " [-163.3989912 -24.79938078 480.78810034 117.38135869]\n", + " [ -47.97912452 -278.23002524 117.38135869 1533.57912799]]\n", + "Trace: 2124.451119046452\n", + "Determinant: 2241947.600754722\n", + "Condition number: 1651.778999454954\n", + "Minimal eigen value: 0.9685955647855005\n", + "Eigen values: [1.59990581e+03 5.20798798e+02 9.68595565e-01 2.77791269e+00]\n", + "Eigen vectors: [[ 0.04356334 -0.31866973 -0.77600518 0.54255673]\n", + " [ 0.17774251 0.01424653 0.56658982 0.80447536]\n", + " [-0.11273518 0.94011305 -0.25905246 0.19070935]\n", + " [-0.97662716 -0.12014197 0.09840607 0.14859857]]\n", + "========This is the No. 2 experiment.========\n", + "Design variables: {'CA0': {0: 5}, 'T': {0: 528}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", + " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.49e+02 - 1.45e-01 5.29e-02h 1\n", + " 3 0.0000000e+00 1.41e+02 3.26e+03 -1.0 1.42e+02 - 2.39e-01 8.16e-04h 1\n", + " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.57e-07R 6\n", + " 5r 0.0000000e+00 1.05e+02 4.04e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", + " 6r 0.0000000e+00 8.24e+01 3.97e+04 2.2 1.37e+04 - 5.83e-03 1.83e-03f 1\n", + " 7r 0.0000000e+00 8.08e+01 3.63e+04 2.2 9.62e+03 - 1.70e-02 1.63e-04f 1\n", + " 8r 0.0000000e+00 1.67e+01 3.51e+04 2.2 5.06e+03 - 1.86e-02 1.30e-02f 1\n", + " 9r 0.0000000e+00 1.23e+01 2.54e+04 2.2 1.26e+03 - 8.05e-02 1.28e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.92e+00 2.27e+04 2.2 1.31e+02 - 6.44e-02 5.27e-02f 1\n", + " 11r 0.0000000e+00 4.43e+00 1.49e+04 2.2 1.03e+02 - 2.18e-01 5.81e-02f 1\n", + " 12r 0.0000000e+00 3.16e+00 1.56e+04 2.2 7.95e+01 - 2.77e-01 1.16e-01f 1\n", + " 13r 0.0000000e+00 2.42e+00 1.15e+04 2.2 5.64e+01 - 3.51e-01 1.93e-01f 1\n", + " 14r 0.0000000e+00 1.96e+00 6.03e+03 2.2 3.33e+01 - 7.38e-01 3.49e-01f 1\n", + " 15r 0.0000000e+00 5.58e-01 1.90e+03 1.5 1.76e+01 - 1.00e+00 6.23e-01f 1\n", + " 16r 0.0000000e+00 3.40e-01 1.27e+03 0.8 6.20e+00 - 1.00e+00 3.83e-01f 1\n", + " 17r 0.0000000e+00 1.54e-01 1.06e+03 0.8 5.41e+00 - 9.53e-01 5.42e-01f 1\n", + " 18r 0.0000000e+00 9.28e-02 3.68e+02 0.8 2.75e+00 - 1.00e+00 8.44e-01f 1\n", + " 19r 0.0000000e+00 8.56e-02 8.79e+02 0.1 1.03e+00 - 1.00e+00 7.08e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 7.51e-02 1.90e+03 0.1 8.44e+00 - 8.51e-01 2.35e-01f 1\n", + " 21r 0.0000000e+00 5.29e-02 5.24e+02 0.1 3.27e+00 - 7.27e-01 7.25e-01f 1\n", + " 22r 0.0000000e+00 5.52e-02 2.86e-02 0.1 7.83e-01 - 1.00e+00 1.00e+00f 1\n", + " 23r 0.0000000e+00 5.18e-02 1.62e+02 -2.0 7.35e-01 - 8.55e-01 7.48e-01f 1\n", + " 24r 0.0000000e+00 3.92e-02 2.69e+03 -2.0 5.23e+01 - 9.26e-01 5.25e-02f 1\n", + " 25r 0.0000000e+00 2.90e-02 3.12e+03 -2.0 4.16e+01 - 9.19e-01 7.25e-02f 1\n", + " 26r 0.0000000e+00 8.30e-03 2.77e+03 -2.0 3.12e+01 - 1.00e+00 2.07e-01f 1\n", + " 27r 0.0000000e+00 3.00e-03 2.17e+03 -2.0 4.62e+00 - 1.00e+00 2.64e-01f 1\n", + " 28r 0.0000000e+00 3.02e-04 2.54e+02 -2.0 1.13e+00 - 1.00e+00 8.94e-01f 1\n", + " 29r 0.0000000e+00 7.17e-06 1.55e-04 -2.0 1.19e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.06e-06 9.76e+02 -4.6 2.83e-03 - 1.00e+00 7.87e-01f 1\n", + " 31r 0.0000000e+00 1.37e-06 4.07e+02 -4.6 1.30e-03 - 9.21e-01 6.67e-01f 1\n", + " 32r 0.0000000e+00 1.85e-08 1.66e-06 -4.6 2.45e-04 - 1.00e+00 1.00e+00f 1\n", + " 33r 0.0000000e+00 2.66e-11 9.45e-02 -6.9 8.31e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.2456905912839850e-11 2.6621949843165169e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.2456905912839850e-11 2.6621949843165169e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.038\n", + "Total CPU secs in NLP function evaluations = 0.004\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", + " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.49e+02 - 1.45e-01 5.27e-02h 1\n", + " 3 0.0000000e+00 1.41e+02 3.27e+03 -1.0 1.42e+02 - 2.39e-01 8.13e-04h 1\n", + " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.56e-07R 6\n", + " 5r 0.0000000e+00 1.05e+02 4.05e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", + " 6r 0.0000000e+00 8.23e+01 3.98e+04 2.2 1.37e+04 - 5.84e-03 1.83e-03f 1\n", + " 7r 0.0000000e+00 8.08e+01 3.64e+04 2.2 9.61e+03 - 1.70e-02 1.64e-04f 1\n", + " 8r 0.0000000e+00 1.65e+01 3.52e+04 2.2 5.04e+03 - 1.87e-02 1.30e-02f 1\n", + " 9r 0.0000000e+00 1.23e+01 2.57e+04 2.2 1.25e+03 - 7.88e-02 1.27e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.91e+00 2.30e+04 2.2 1.31e+02 - 6.42e-02 5.24e-02f 1\n", + " 11r 0.0000000e+00 4.42e+00 1.49e+04 2.2 1.03e+02 - 2.16e-01 5.80e-02f 1\n", + " 12r 0.0000000e+00 3.15e+00 1.58e+04 2.2 7.95e+01 - 2.84e-01 1.16e-01f 1\n", + " 13r 0.0000000e+00 2.41e+00 1.16e+04 2.2 5.64e+01 - 3.39e-01 1.94e-01f 1\n", + " 14r 0.0000000e+00 1.97e+00 5.56e+03 2.2 3.33e+01 - 7.46e-01 3.47e-01f 1\n", + " 15r 0.0000000e+00 5.56e-01 1.82e+03 1.5 1.77e+01 - 1.00e+00 6.21e-01f 1\n", + " 16r 0.0000000e+00 3.38e-01 1.27e+03 0.8 6.22e+00 - 1.00e+00 3.84e-01f 1\n", + " 17r 0.0000000e+00 1.53e-01 1.06e+03 0.8 5.41e+00 - 9.55e-01 5.42e-01f 1\n", + " 18r 0.0000000e+00 9.26e-02 3.66e+02 0.8 2.74e+00 - 1.00e+00 8.45e-01f 1\n", + " 19r 0.0000000e+00 8.55e-02 8.84e+02 0.1 1.03e+00 - 1.00e+00 7.07e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 7.51e-02 1.91e+03 0.1 8.43e+00 - 8.54e-01 2.35e-01f 1\n", + " 21r 0.0000000e+00 5.29e-02 5.27e+02 0.1 3.27e+00 - 7.27e-01 7.24e-01f 1\n", + " 22r 0.0000000e+00 5.52e-02 2.90e-02 0.1 7.85e-01 - 1.00e+00 1.00e+00f 1\n", + " 23r 0.0000000e+00 5.18e-02 1.61e+02 -2.0 7.35e-01 - 8.55e-01 7.48e-01f 1\n", + " 24r 0.0000000e+00 3.92e-02 2.69e+03 -2.0 5.23e+01 - 9.26e-01 5.25e-02f 1\n", + " 25r 0.0000000e+00 2.90e-02 3.11e+03 -2.0 4.16e+01 - 9.19e-01 7.24e-02f 1\n", + " 26r 0.0000000e+00 8.30e-03 2.76e+03 -2.0 3.12e+01 - 1.00e+00 2.07e-01f 1\n", + " 27r 0.0000000e+00 2.99e-03 2.17e+03 -2.0 4.61e+00 - 1.00e+00 2.64e-01f 1\n", + " 28r 0.0000000e+00 3.02e-04 2.54e+02 -2.0 1.13e+00 - 1.00e+00 8.94e-01f 1\n", + " 29r 0.0000000e+00 7.17e-06 1.54e-04 -2.0 1.19e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.04e-06 9.53e+02 -4.6 2.83e-03 - 1.00e+00 7.89e-01f 1\n", + " 31r 0.0000000e+00 1.36e-06 3.94e+02 -4.6 1.28e-03 - 9.26e-01 6.67e-01f 1\n", + " 32r 0.0000000e+00 1.72e-08 1.59e-06 -4.6 2.42e-04 - 1.00e+00 1.00e+00f 1\n", + " 33r 0.0000000e+00 2.63e-11 9.45e-02 -6.9 7.74e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.2153845746289795e-11 2.6260916808100096e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.2153845746289795e-11 2.6260916808100096e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.038\n", + "Total CPU secs in NLP function evaluations = 0.004\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", + " 2 0.0000000e+00 1.42e+02 2.32e+01 -1.0 1.49e+02 - 1.45e-01 5.23e-02h 1\n", + " 3 0.0000000e+00 1.41e+02 3.31e+03 -1.0 1.42e+02 - 2.39e-01 8.02e-04h 1\n", + " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.52e-07R 6\n", + " 5r 0.0000000e+00 1.05e+02 4.08e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", + " 6r 0.0000000e+00 8.20e+01 4.02e+04 2.2 1.37e+04 - 5.83e-03 1.87e-03f 1\n", + " 7r 0.0000000e+00 8.04e+01 3.67e+04 2.2 9.59e+03 - 1.76e-02 1.67e-04f 1\n", + " 8r 0.0000000e+00 1.60e+01 3.55e+04 2.2 4.95e+03 - 1.92e-02 1.34e-02f 1\n", + " 9r 0.0000000e+00 1.22e+01 2.73e+04 2.2 1.23e+03 - 6.99e-02 1.25e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.88e+00 2.43e+04 2.2 1.31e+02 - 6.44e-02 5.06e-02f 1\n", + " 11r 0.0000000e+00 4.35e+00 1.45e+04 2.2 1.04e+02 - 2.10e-01 5.79e-02f 1\n", + " 12r 0.0000000e+00 3.10e+00 1.59e+04 2.2 7.99e+01 - 2.93e-01 1.13e-01f 1\n", + " 13r 0.0000000e+00 2.41e+00 1.19e+04 2.2 5.68e+01 - 3.17e-01 1.91e-01f 1\n", + " 14r 0.0000000e+00 2.00e+00 5.16e+03 2.2 3.39e+01 - 7.81e-01 3.45e-01f 1\n", + " 15r 0.0000000e+00 5.61e-01 1.16e+03 1.5 1.82e+01 - 1.00e+00 6.11e-01f 1\n", + " 16r 0.0000000e+00 3.41e-01 1.27e+03 0.8 6.30e+00 - 1.00e+00 3.84e-01f 1\n", + " 17r 0.0000000e+00 1.53e-01 1.09e+03 0.8 5.40e+00 - 9.70e-01 5.45e-01f 1\n", + " 18r 0.0000000e+00 9.44e-02 3.68e+02 0.8 2.74e+00 - 1.00e+00 8.47e-01f 1\n", + " 19r 0.0000000e+00 8.74e-02 9.29e+02 0.1 1.03e+00 - 1.00e+00 6.96e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 7.49e-02 1.81e+03 0.1 8.60e+00 - 8.19e-01 2.39e-01f 1\n", + " 21r 0.0000000e+00 5.26e-02 4.87e+02 0.1 3.25e+00 - 7.43e-01 7.31e-01f 1\n", + " 22r 0.0000000e+00 5.50e-02 3.07e-02 0.1 7.62e-01 - 1.00e+00 1.00e+00f 1\n", + " 23r 0.0000000e+00 5.17e-02 1.74e+02 -2.0 7.34e-01 - 8.64e-01 7.48e-01f 1\n", + " 24r 0.0000000e+00 3.92e-02 2.70e+03 -2.0 5.22e+01 - 9.24e-01 5.17e-02f 1\n", + " 25r 0.0000000e+00 2.91e-02 3.11e+03 -2.0 4.15e+01 - 9.26e-01 7.19e-02f 1\n", + " 26r 0.0000000e+00 8.22e-03 2.77e+03 -2.0 3.16e+01 - 1.00e+00 2.07e-01f 1\n", + " 27r 0.0000000e+00 3.23e-03 2.22e+03 -2.0 4.62e+00 - 1.00e+00 2.48e-01f 1\n", + " 28r 0.0000000e+00 3.04e-04 2.61e+02 -2.0 1.15e+00 - 1.00e+00 8.93e-01f 1\n", + " 29r 0.0000000e+00 7.14e-06 1.60e-04 -2.0 1.21e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.08e-06 9.40e+02 -4.6 2.84e-03 - 1.00e+00 7.91e-01f 1\n", + " 31r 0.0000000e+00 1.36e-06 3.76e+02 -4.6 1.28e-03 - 9.33e-01 6.68e-01f 1\n", + " 32r 0.0000000e+00 1.52e-08 1.53e-06 -4.6 2.44e-04 - 1.00e+00 1.00e+00f 1\n", + " 33r 0.0000000e+00 2.57e-11 9.47e-02 -6.9 6.81e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.1649973638436623e-11 2.5661316347129655e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.1649973638436623e-11 2.5661316347129655e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.039\n", + "Total CPU secs in NLP function evaluations = 0.004\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", + " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.49e+02 - 1.45e-01 5.27e-02h 1\n", + " 3 0.0000000e+00 1.41e+02 3.26e+03 -1.0 1.42e+02 - 2.39e-01 8.13e-04h 1\n", + " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.56e-07R 6\n", + " 5r 0.0000000e+00 1.05e+02 4.04e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", + " 6r 0.0000000e+00 8.22e+01 3.97e+04 2.2 1.37e+04 - 5.82e-03 1.84e-03f 1\n", + " 7r 0.0000000e+00 8.06e+01 3.63e+04 2.2 9.61e+03 - 1.71e-02 1.63e-04f 1\n", + " 8r 0.0000000e+00 1.66e+01 3.52e+04 2.2 5.03e+03 - 1.87e-02 1.31e-02f 1\n", + " 9r 0.0000000e+00 1.23e+01 2.58e+04 2.2 1.26e+03 - 7.76e-02 1.27e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.89e+00 2.30e+04 2.2 1.31e+02 - 6.49e-02 5.23e-02f 1\n", + " 11r 0.0000000e+00 4.41e+00 1.47e+04 2.2 1.03e+02 - 2.14e-01 5.77e-02f 1\n", + " 12r 0.0000000e+00 3.14e+00 1.58e+04 2.2 7.97e+01 - 2.91e-01 1.16e-01f 1\n", + " 13r 0.0000000e+00 2.41e+00 1.17e+04 2.2 5.64e+01 - 3.30e-01 1.95e-01f 1\n", + " 14r 0.0000000e+00 1.97e+00 5.08e+03 2.2 3.33e+01 - 7.50e-01 3.46e-01f 1\n", + " 15r 0.0000000e+00 5.51e-01 1.72e+03 1.5 1.77e+01 - 1.00e+00 6.18e-01f 1\n", + " 16r 0.0000000e+00 3.35e-01 1.26e+03 0.8 6.23e+00 - 1.00e+00 3.85e-01f 1\n", + " 17r 0.0000000e+00 1.51e-01 1.08e+03 0.8 5.43e+00 - 9.63e-01 5.43e-01f 1\n", + " 18r 0.0000000e+00 9.39e-02 3.62e+02 0.8 2.74e+00 - 1.00e+00 8.47e-01f 1\n", + " 19r 0.0000000e+00 8.70e-02 8.86e+02 0.1 1.02e+00 - 1.00e+00 7.06e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 7.48e-02 1.80e+03 0.1 8.61e+00 - 8.16e-01 2.37e-01f 1\n", + " 21r 0.0000000e+00 5.24e-02 4.78e+02 0.1 3.26e+00 - 7.42e-01 7.35e-01f 1\n", + " 22r 0.0000000e+00 5.49e-02 2.73e-02 0.1 7.51e-01 - 1.00e+00 1.00e+00f 1\n", + " 23r 0.0000000e+00 5.16e-02 1.76e+02 -2.0 7.34e-01 - 8.65e-01 7.49e-01f 1\n", + " 24r 0.0000000e+00 3.91e-02 2.69e+03 -2.0 5.22e+01 - 9.24e-01 5.16e-02f 1\n", + " 25r 0.0000000e+00 2.91e-02 3.13e+03 -2.0 4.15e+01 - 9.30e-01 7.17e-02f 1\n", + " 26r 0.0000000e+00 8.21e-03 2.78e+03 -2.0 3.17e+01 - 1.00e+00 2.07e-01f 1\n", + " 27r 0.0000000e+00 3.28e-03 2.23e+03 -2.0 4.61e+00 - 1.00e+00 2.45e-01f 1\n", + " 28r 0.0000000e+00 3.03e-04 2.61e+02 -2.0 1.15e+00 - 1.00e+00 8.93e-01f 1\n", + " 29r 0.0000000e+00 7.12e-06 1.61e-04 -2.0 1.21e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.10e-06 9.79e+02 -4.6 2.84e-03 - 1.00e+00 7.86e-01f 1\n", + " 31r 0.0000000e+00 1.37e-06 3.99e+02 -4.6 1.30e-03 - 9.25e-01 6.68e-01f 1\n", + " 32r 0.0000000e+00 1.76e-08 1.64e-06 -4.6 2.48e-04 - 1.00e+00 1.00e+00f 1\n", + " 33r 0.0000000e+00 2.63e-11 9.47e-02 -6.9 7.88e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.2148787548278067e-11 2.6258727668388576e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.2148787548278067e-11 2.6258727668388576e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.037\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", + " 2 0.0000000e+00 1.42e+02 2.32e+01 -1.0 1.49e+02 - 1.45e-01 5.26e-02h 1\n", + " 3 0.0000000e+00 1.41e+02 3.28e+03 -1.0 1.42e+02 - 2.39e-01 8.10e-04h 1\n", + " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.55e-07R 6\n", + " 5r 0.0000000e+00 1.05e+02 4.06e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", + " 6r 0.0000000e+00 8.22e+01 3.99e+04 2.2 1.37e+04 - 5.83e-03 1.84e-03f 1\n", + " 7r 0.0000000e+00 8.06e+01 3.65e+04 2.2 9.60e+03 - 1.72e-02 1.65e-04f 1\n", + " 8r 0.0000000e+00 1.64e+01 3.53e+04 2.2 5.01e+03 - 1.89e-02 1.31e-02f 1\n", + " 9r 0.0000000e+00 1.22e+01 2.62e+04 2.2 1.25e+03 - 7.60e-02 1.26e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.90e+00 2.34e+04 2.2 1.31e+02 - 6.42e-02 5.19e-02f 1\n", + " 11r 0.0000000e+00 4.40e+00 1.48e+04 2.2 1.04e+02 - 2.14e-01 5.78e-02f 1\n", + " 12r 0.0000000e+00 3.14e+00 1.59e+04 2.2 7.97e+01 - 2.93e-01 1.15e-01f 1\n", + " 13r 0.0000000e+00 2.41e+00 1.18e+04 2.2 5.64e+01 - 3.24e-01 1.94e-01f 1\n", + " 14r 0.0000000e+00 1.98e+00 4.83e+03 2.2 3.34e+01 - 7.56e-01 3.46e-01f 1\n", + " 15r 0.0000000e+00 5.54e-01 1.66e+03 1.5 1.78e+01 - 1.00e+00 6.18e-01f 1\n", + " 16r 0.0000000e+00 3.36e-01 1.26e+03 0.8 6.24e+00 - 1.00e+00 3.85e-01f 1\n", + " 17r 0.0000000e+00 1.52e-01 1.07e+03 0.8 5.41e+00 - 9.59e-01 5.43e-01f 1\n", + " 18r 0.0000000e+00 9.30e-02 3.63e+02 0.8 2.74e+00 - 1.00e+00 8.46e-01f 1\n", + " 19r 0.0000000e+00 8.59e-02 8.91e+02 0.1 1.03e+00 - 1.00e+00 7.05e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 7.50e-02 1.87e+03 0.1 8.48e+00 - 8.42e-01 2.36e-01f 1\n", + " 21r 0.0000000e+00 5.27e-02 5.12e+02 0.1 3.27e+00 - 7.32e-01 7.27e-01f 1\n", + " 22r 0.0000000e+00 5.50e-02 2.89e-02 0.1 7.76e-01 - 1.00e+00 1.00e+00f 1\n", + " 23r 0.0000000e+00 5.17e-02 1.66e+02 -2.0 7.34e-01 - 8.59e-01 7.48e-01f 1\n", + " 24r 0.0000000e+00 3.91e-02 2.69e+03 -2.0 5.22e+01 - 9.25e-01 5.22e-02f 1\n", + " 25r 0.0000000e+00 2.90e-02 3.11e+03 -2.0 4.16e+01 - 9.23e-01 7.21e-02f 1\n", + " 26r 0.0000000e+00 8.26e-03 2.76e+03 -2.0 3.14e+01 - 1.00e+00 2.07e-01f 1\n", + " 27r 0.0000000e+00 3.09e-03 2.19e+03 -2.0 4.61e+00 - 1.00e+00 2.58e-01f 1\n", + " 28r 0.0000000e+00 3.02e-04 2.56e+02 -2.0 1.14e+00 - 1.00e+00 8.94e-01f 1\n", + " 29r 0.0000000e+00 7.15e-06 1.55e-04 -2.0 1.19e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.04e-06 9.38e+02 -4.6 2.83e-03 - 1.00e+00 7.91e-01f 1\n", + " 31r 0.0000000e+00 1.35e-06 3.81e+02 -4.6 1.27e-03 - 9.30e-01 6.68e-01f 1\n", + " 32r 0.0000000e+00 1.60e-08 1.53e-06 -4.6 2.41e-04 - 1.00e+00 1.00e+00f 1\n", + " 33r 0.0000000e+00 2.59e-11 9.45e-02 -6.9 7.17e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.1850626362220856e-11 2.5900256237138854e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.1850626362220856e-11 2.5900256237138854e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", + " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.49e+02 - 1.45e-01 5.27e-02h 1\n", + " 3 0.0000000e+00 1.41e+02 3.27e+03 -1.0 1.42e+02 - 2.39e-01 8.13e-04h 1\n", + " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.56e-07R 6\n", + " 5r 0.0000000e+00 1.05e+02 4.05e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", + " 6r 0.0000000e+00 8.22e+01 3.98e+04 2.2 1.38e+04 - 5.83e-03 1.84e-03f 1\n", + " 7r 0.0000000e+00 8.07e+01 3.64e+04 2.2 9.61e+03 - 1.71e-02 1.64e-04f 1\n", + " 8r 0.0000000e+00 1.65e+01 3.52e+04 2.2 5.03e+03 - 1.88e-02 1.31e-02f 1\n", + " 9r 0.0000000e+00 1.23e+01 2.59e+04 2.2 1.25e+03 - 7.76e-02 1.27e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.90e+00 2.31e+04 2.2 1.31e+02 - 6.44e-02 5.22e-02f 1\n", + " 11r 0.0000000e+00 4.41e+00 1.48e+04 2.2 1.03e+02 - 2.15e-01 5.79e-02f 1\n", + " 12r 0.0000000e+00 3.14e+00 1.58e+04 2.2 7.96e+01 - 2.86e-01 1.15e-01f 1\n", + " 13r 0.0000000e+00 2.41e+00 1.16e+04 2.2 5.64e+01 - 3.36e-01 1.94e-01f 1\n", + " 14r 0.0000000e+00 1.97e+00 5.41e+03 2.2 3.34e+01 - 7.48e-01 3.47e-01f 1\n", + " 15r 0.0000000e+00 5.55e-01 1.79e+03 1.5 1.77e+01 - 1.00e+00 6.20e-01f 1\n", + " 16r 0.0000000e+00 3.38e-01 1.27e+03 0.8 6.22e+00 - 1.00e+00 3.84e-01f 1\n", + " 17r 0.0000000e+00 1.52e-01 1.07e+03 0.8 5.42e+00 - 9.58e-01 5.43e-01f 1\n", + " 18r 0.0000000e+00 9.31e-02 3.65e+02 0.8 2.74e+00 - 1.00e+00 8.45e-01f 1\n", + " 19r 0.0000000e+00 8.61e-02 8.86e+02 0.1 1.03e+00 - 1.00e+00 7.06e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 7.50e-02 1.87e+03 0.1 8.50e+00 - 8.39e-01 2.36e-01f 1\n", + " 21r 0.0000000e+00 5.27e-02 5.09e+02 0.1 3.26e+00 - 7.32e-01 7.27e-01f 1\n", + " 22r 0.0000000e+00 5.51e-02 2.85e-02 0.1 7.74e-01 - 1.00e+00 1.00e+00f 1\n", + " 23r 0.0000000e+00 5.17e-02 1.67e+02 -2.0 7.34e-01 - 8.59e-01 7.48e-01f 1\n", + " 24r 0.0000000e+00 3.91e-02 2.69e+03 -2.0 5.22e+01 - 9.25e-01 5.22e-02f 1\n", + " 25r 0.0000000e+00 2.90e-02 3.12e+03 -2.0 4.16e+01 - 9.23e-01 7.21e-02f 1\n", + " 26r 0.0000000e+00 8.27e-03 2.77e+03 -2.0 3.14e+01 - 1.00e+00 2.07e-01f 1\n", + " 27r 0.0000000e+00 3.09e-03 2.19e+03 -2.0 4.61e+00 - 1.00e+00 2.58e-01f 1\n", + " 28r 0.0000000e+00 3.02e-04 2.56e+02 -2.0 1.14e+00 - 1.00e+00 8.94e-01f 1\n", + " 29r 0.0000000e+00 7.15e-06 1.56e-04 -2.0 1.19e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.06e-06 9.61e+02 -4.6 2.83e-03 - 1.00e+00 7.89e-01f 1\n", + " 31r 0.0000000e+00 1.36e-06 3.95e+02 -4.6 1.28e-03 - 9.25e-01 6.68e-01f 1\n", + " 32r 0.0000000e+00 1.73e-08 1.60e-06 -4.6 2.44e-04 - 1.00e+00 1.00e+00f 1\n", + " 33r 0.0000000e+00 2.63e-11 9.45e-02 -6.9 7.77e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.2151067363193466e-11 2.6259062632649766e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.2151067363193466e-11 2.6259062632649766e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.50e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.35e-01f 1\n", + " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.50e+02 - 1.45e-01 5.32e-02h 1\n", + " 3 0.0000000e+00 1.41e+02 3.23e+03 -1.0 1.42e+02 - 2.40e-01 8.24e-04h 1\n", + " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.59e-07R 6\n", + " 5r 0.0000000e+00 1.05e+02 4.02e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", + " 6r 0.0000000e+00 8.26e+01 3.94e+04 2.2 1.37e+04 - 5.84e-03 1.81e-03f 1\n", + " 7r 0.0000000e+00 8.11e+01 3.60e+04 2.2 9.63e+03 - 1.66e-02 1.61e-04f 1\n", + " 8r 0.0000000e+00 1.70e+01 3.49e+04 2.2 5.12e+03 - 1.83e-02 1.28e-02f 1\n", + " 9r 0.0000000e+00 1.23e+01 2.40e+04 2.2 1.27e+03 - 8.80e-02 1.28e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.94e+00 2.16e+04 2.2 1.30e+02 - 6.44e-02 5.43e-02f 1\n", + " 11r 0.0000000e+00 4.49e+00 1.52e+04 2.2 1.02e+02 - 2.23e-01 5.81e-02f 1\n", + " 12r 0.0000000e+00 3.20e+00 1.53e+04 2.2 7.91e+01 - 2.54e-01 1.19e-01f 1\n", + " 13r 0.0000000e+00 2.44e+00 1.16e+04 2.2 5.65e+01 - 3.20e-01 1.92e-01f 1\n", + " 14r 0.0000000e+00 2.02e+00 7.02e+03 2.2 3.33e+01 - 7.57e-01 3.41e-01f 1\n", + " 15r 0.0000000e+00 5.40e-01 2.25e+03 1.5 1.82e+01 - 1.00e+00 6.10e-01f 1\n", + " 16r 0.0000000e+00 2.17e-01 1.51e+03 1.5 5.66e+00 - 1.00e+00 5.87e-01f 1\n", + " 17r 0.0000000e+00 2.11e-01 5.13e+02 0.8 8.40e-01 - 1.00e+00 7.56e-01f 1\n", + " 18r 0.0000000e+00 9.04e-02 8.51e+02 0.8 4.47e+00 - 7.05e-01 1.00e+00f 1\n", + " 19r 0.0000000e+00 8.36e-02 8.92e-02 0.8 4.15e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 7.98e-02 2.39e+02 -1.3 7.87e-01 - 9.97e-01 7.83e-01f 1\n", + " 21r 0.0000000e+00 7.28e-02 5.54e+02 -1.3 5.42e+01 - 1.63e-01 3.22e-02f 1\n", + " 22r 0.0000000e+00 5.51e-02 1.20e+03 -1.3 3.07e+01 - 3.91e-01 8.63e-02f 1\n", + " 23r 0.0000000e+00 3.76e-02 2.35e+03 -1.3 2.06e+01 - 9.74e-01 1.62e-01f 1\n", + " 24r 0.0000000e+00 2.73e-02 2.30e+03 -1.3 1.52e+01 - 1.00e+00 1.88e-01f 1\n", + " 25r 0.0000000e+00 8.64e-03 1.46e+03 -1.3 1.17e+01 - 1.00e+00 4.26e-01f 1\n", + " 26r 0.0000000e+00 2.92e-03 1.41e+03 -1.3 5.54e+00 - 1.00e+00 2.42e-01f 1\n", + " 27r 0.0000000e+00 1.25e-03 1.31e+03 -1.3 2.66e+00 - 1.00e+00 2.62e-01f 1\n", + " 28r 0.0000000e+00 3.64e-04 3.77e-03 -1.3 4.95e-01 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 1.26e-04 9.34e+02 -3.1 8.27e-02 - 1.00e+00 6.74e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.45e-05 3.63e+03 -3.1 1.36e-01 - 9.59e-01 2.43e-01f 1\n", + " 31r 0.0000000e+00 1.72e-06 2.76e-04 -3.1 4.19e-03 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 4.52e-08 8.82e+00 -6.9 1.64e-04 - 9.60e-01 9.87e-01f 1\n", + " 33r 0.0000000e+00 4.44e-09 1.05e+01 -6.9 1.49e-06 - 1.00e+00 9.02e-01f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.5769738670367326e-09 4.4415538978106409e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.5769738670367326e-09 4.4415538978106409e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.038\n", + "Total CPU secs in NLP function evaluations = 0.004\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", + " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.49e+02 - 1.45e-01 5.27e-02h 1\n", + " 3 0.0000000e+00 1.41e+02 3.27e+03 -1.0 1.42e+02 - 2.40e-01 8.13e-04h 1\n", + " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.56e-07R 6\n", + " 5r 0.0000000e+00 1.05e+02 4.06e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", + " 6r 0.0000000e+00 8.24e+01 3.99e+04 2.2 1.37e+04 - 5.84e-03 1.83e-03f 1\n", + " 7r 0.0000000e+00 8.08e+01 3.65e+04 2.2 9.62e+03 - 1.71e-02 1.65e-04f 1\n", + " 8r 0.0000000e+00 1.65e+01 3.53e+04 2.2 5.04e+03 - 1.88e-02 1.31e-02f 1\n", + " 9r 0.0000000e+00 1.23e+01 2.58e+04 2.2 1.25e+03 - 7.88e-02 1.27e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.92e+00 2.31e+04 2.2 1.31e+02 - 6.37e-02 5.23e-02f 1\n", + " 11r 0.0000000e+00 4.42e+00 1.49e+04 2.2 1.03e+02 - 2.18e-01 5.82e-02f 1\n", + " 12r 0.0000000e+00 3.16e+00 1.57e+04 2.2 7.94e+01 - 2.80e-01 1.16e-01f 1\n", + " 13r 0.0000000e+00 2.41e+00 1.16e+04 2.2 5.64e+01 - 3.45e-01 1.93e-01f 1\n", + " 14r 0.0000000e+00 1.97e+00 5.88e+03 2.2 3.34e+01 - 7.45e-01 3.48e-01f 1\n", + " 15r 0.0000000e+00 5.60e-01 1.88e+03 1.5 1.77e+01 - 1.00e+00 6.22e-01f 1\n", + " 16r 0.0000000e+00 3.41e-01 1.27e+03 0.8 6.20e+00 - 1.00e+00 3.84e-01f 1\n", + " 17r 0.0000000e+00 1.54e-01 1.05e+03 0.8 5.40e+00 - 9.49e-01 5.42e-01f 1\n", + " 18r 0.0000000e+00 9.19e-02 3.69e+02 0.8 2.74e+00 - 1.00e+00 8.43e-01f 1\n", + " 19r 0.0000000e+00 8.46e-02 8.84e+02 0.1 1.03e+00 - 1.00e+00 7.07e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 7.53e-02 1.98e+03 0.1 8.32e+00 - 8.80e-01 2.34e-01f 1\n", + " 21r 0.0000000e+00 5.32e-02 5.64e+02 0.1 3.28e+00 - 7.17e-01 7.16e-01f 1\n", + " 22r 0.0000000e+00 5.53e-02 3.03e-02 0.1 8.10e-01 - 1.00e+00 1.00e+00f 1\n", + " 23r 0.0000000e+00 5.19e-02 1.54e+02 -2.0 7.38e-01 - 8.50e-01 7.47e-01f 1\n", + " 24r 0.0000000e+00 3.92e-02 2.68e+03 -2.0 5.23e+01 - 9.26e-01 5.31e-02f 1\n", + " 25r 0.0000000e+00 2.90e-02 3.10e+03 -2.0 4.17e+01 - 9.13e-01 7.31e-02f 1\n", + " 26r 0.0000000e+00 8.33e-03 2.76e+03 -2.0 3.09e+01 - 1.00e+00 2.07e-01f 1\n", + " 27r 0.0000000e+00 2.92e-03 2.13e+03 -2.0 4.61e+00 - 1.00e+00 2.76e-01f 1\n", + " 28r 0.0000000e+00 2.98e-04 2.50e+02 -2.0 1.11e+00 - 1.00e+00 8.94e-01f 1\n", + " 29r 0.0000000e+00 7.20e-06 1.49e-04 -2.0 1.16e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.00e-06 9.38e+02 -4.6 2.82e-03 - 1.00e+00 7.92e-01f 1\n", + " 31r 0.0000000e+00 1.35e-06 3.90e+02 -4.6 1.26e-03 - 9.26e-01 6.67e-01f 1\n", + " 32r 0.0000000e+00 1.70e-08 1.56e-06 -4.6 2.38e-04 - 1.00e+00 1.00e+00f 1\n", + " 33r 0.0000000e+00 2.63e-11 9.42e-02 -6.9 7.64e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.2156471689858985e-11 2.6261748702874517e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.2156471689858985e-11 2.6261748702874517e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Existed information has been added.\n", + "FIM: [[ 62.61825299 13.99453652 -172.77684128 -58.8930005 ]\n", + " [ 13.99453652 59.51690861 -30.4401621 -301.39206927]\n", + " [-172.77684128 -30.4401621 497.40112289 136.7154839 ]\n", + " [ -58.8930005 -301.39206927 136.7154839 1612.96844236]]\n", + "Trace: 2232.504726862837\n", + "Determinant: 4898254.121649539\n", + "Condition number: 1222.2680067331069\n", + "Minimal eigen value: 1.382589370149351\n", + "Eigen values: [1.68989475e+03 5.37325711e+02 1.38258937e+00 3.90167256e+00]\n", + "Eigen vectors: [[ 0.04994575 -0.32399431 -0.767535 0.55083857]\n", + " [ 0.18280326 0.01454953 0.57696227 0.79591822]\n", + " [-0.12357702 0.93659251 -0.2600355 0.1997617 ]\n", + " [-0.97407244 -0.13270446 0.10191222 0.15227054]]\n", + "========This is the No. 3 experiment.========\n", + "Design variables: {'CA0': {0: 5}, 'T': {0: 546.8}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", + " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.05e-02h 1\n", + " 3 0.0000000e+00 1.58e+02 3.07e+03 -1.0 1.59e+02 - 2.25e-01 7.87e-04h 1\n", + " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.95e-07R 5\n", + " 5r 0.0000000e+00 1.20e+02 3.89e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", + " 6r 0.0000000e+00 1.05e+02 3.75e+04 2.2 1.37e+04 - 6.73e-03 1.17e-03f 1\n", + " 7r 0.0000000e+00 1.04e+02 3.47e+04 2.2 1.04e+04 - 1.01e-02 1.60e-04f 1\n", + " 8r 0.0000000e+00 4.23e+01 3.40e+04 2.2 7.39e+03 - 1.13e-02 8.44e-03f 1\n", + " 9r 0.0000000e+00 1.39e+01 2.70e+04 2.2 2.69e+03 - 5.49e-02 1.25e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.16e+01 1.87e+04 2.2 5.87e+02 - 2.35e-01 1.62e-02f 1\n", + " 11r 0.0000000e+00 6.12e+00 1.69e+04 2.2 1.00e+02 - 1.05e-01 9.99e-02f 1\n", + " 12r 0.0000000e+00 4.42e+00 1.76e+04 2.2 7.54e+01 - 3.28e-01 1.10e-01f 1\n", + " 13r 0.0000000e+00 2.87e+00 1.03e+04 2.2 5.59e+01 - 4.56e-01 2.18e-01f 1\n", + " 14r 0.0000000e+00 1.85e+00 6.73e+03 1.5 3.33e+01 - 6.49e-01 2.97e-01f 1\n", + " 15r 0.0000000e+00 1.52e+00 2.61e+03 1.5 4.65e+01 - 7.10e-01 2.65e-01f 1\n", + " 16r 0.0000000e+00 8.97e-01 4.42e+03 1.5 1.70e+01 - 1.00e+00 3.84e-01f 1\n", + " 17r 0.0000000e+00 2.25e-01 5.48e+01 1.5 2.20e+00 - 1.00e+00 1.00e+00f 1\n", + " 18r 0.0000000e+00 2.37e-01 9.55e+02 -0.6 7.37e-01 - 9.75e-01 5.83e-01f 1\n", + " 19r 0.0000000e+00 6.42e-02 6.29e+02 -0.6 2.84e+01 - 2.45e-01 2.84e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 6.48e-02 2.45e+03 -0.6 1.19e+01 - 7.90e-01 5.98e-03f 1\n", + " 21r 0.0000000e+00 4.45e-02 1.69e+03 -0.6 7.51e+00 - 1.00e+00 5.12e-01f 1\n", + " 22r 0.0000000e+00 3.91e-02 4.94e+02 -0.6 3.99e+00 - 1.00e+00 7.96e-01f 1\n", + " 23r 0.0000000e+00 3.83e-02 2.58e+02 -0.6 1.20e+00 - 1.00e+00 9.14e-01f 1\n", + " 24r 0.0000000e+00 3.82e-02 7.17e-03 -0.6 2.65e-01 - 1.00e+00 1.00e+00f 1\n", + " 25r 0.0000000e+00 3.79e-02 2.82e+02 -3.0 4.29e-01 - 9.86e-01 7.73e-01f 1\n", + " 26r 0.0000000e+00 3.12e-02 2.66e+03 -3.0 1.42e+02 - 7.88e-01 1.37e-02f 1\n", + " 27r 0.0000000e+00 2.20e-02 3.81e+03 -3.0 1.34e+02 - 9.84e-01 1.98e-02f 1\n", + " 28r 0.0000000e+00 1.40e-02 4.10e+03 -3.0 1.19e+02 - 1.00e+00 2.98e-02f 1\n", + " 29r 0.0000000e+00 1.08e-02 3.75e+03 -3.0 7.23e+00 - 1.00e+00 1.08e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.44e-04 2.56e+02 -3.0 2.69e+00 - 1.00e+00 9.34e-01f 1\n", + " 31r 0.0000000e+00 1.76e-06 5.38e-05 -3.0 8.18e-02 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 1.08e-07 4.83e+01 -6.7 1.08e-04 - 9.16e-01 9.73e-01f 1\n", + " 33r 0.0000000e+00 1.38e-08 1.71e+01 -6.7 5.82e-06 - 1.00e+00 8.72e-01f 1\n", + " 34r 0.0000000e+00 6.86e-13 1.41e-10 -6.7 2.19e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 34\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 6.8567374000849668e-13 6.8567374000849668e-13\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 6.8567374000849668e-13 6.8567374000849668e-13\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 36\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 34\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", + " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.04e-02h 1\n", + " 3 0.0000000e+00 1.58e+02 3.08e+03 -1.0 1.59e+02 - 2.25e-01 7.84e-04h 1\n", + " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.93e-07R 5\n", + " 5r 0.0000000e+00 1.20e+02 3.90e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", + " 6r 0.0000000e+00 1.05e+02 3.77e+04 2.2 1.36e+04 - 6.73e-03 1.18e-03f 1\n", + " 7r 0.0000000e+00 1.04e+02 3.48e+04 2.2 1.04e+04 - 1.02e-02 1.61e-04f 1\n", + " 8r 0.0000000e+00 4.21e+01 3.41e+04 2.2 7.37e+03 - 1.14e-02 8.47e-03f 1\n", + " 9r 0.0000000e+00 1.38e+01 2.71e+04 2.2 2.67e+03 - 5.53e-02 1.26e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.16e+01 1.88e+04 2.2 5.77e+02 - 2.38e-01 1.62e-02f 1\n", + " 11r 0.0000000e+00 6.14e+00 1.70e+04 2.2 9.99e+01 - 1.06e-01 1.00e-01f 1\n", + " 12r 0.0000000e+00 4.43e+00 1.76e+04 2.2 7.52e+01 - 3.27e-01 1.11e-01f 1\n", + " 13r 0.0000000e+00 2.87e+00 1.03e+04 2.2 5.57e+01 - 4.52e-01 2.19e-01f 1\n", + " 14r 0.0000000e+00 1.86e+00 6.73e+03 1.5 3.32e+01 - 6.51e-01 2.98e-01f 1\n", + " 15r 0.0000000e+00 1.52e+00 2.57e+03 1.5 4.62e+01 - 7.12e-01 2.64e-01f 1\n", + " 16r 0.0000000e+00 8.94e-01 4.41e+03 1.5 1.69e+01 - 1.00e+00 3.86e-01f 1\n", + " 17r 0.0000000e+00 2.25e-01 5.46e+01 1.5 2.19e+00 - 1.00e+00 1.00e+00f 1\n", + " 18r 0.0000000e+00 2.37e-01 9.47e+02 -0.6 7.38e-01 - 9.75e-01 5.84e-01f 1\n", + " 19r 0.0000000e+00 6.43e-02 6.24e+02 -0.6 2.84e+01 - 2.45e-01 2.84e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 6.48e-02 2.45e+03 -0.6 1.19e+01 - 7.92e-01 5.99e-03f 1\n", + " 21r 0.0000000e+00 4.45e-02 1.69e+03 -0.6 7.52e+00 - 1.00e+00 5.12e-01f 1\n", + " 22r 0.0000000e+00 3.91e-02 4.95e+02 -0.6 3.98e+00 - 1.00e+00 7.96e-01f 1\n", + " 23r 0.0000000e+00 3.83e-02 2.58e+02 -0.6 1.20e+00 - 1.00e+00 9.14e-01f 1\n", + " 24r 0.0000000e+00 3.82e-02 7.17e-03 -0.6 2.65e-01 - 1.00e+00 1.00e+00f 1\n", + " 25r 0.0000000e+00 3.79e-02 2.83e+02 -3.0 4.29e-01 - 9.86e-01 7.73e-01f 1\n", + " 26r 0.0000000e+00 3.12e-02 2.66e+03 -3.0 1.42e+02 - 7.88e-01 1.37e-02f 1\n", + " 27r 0.0000000e+00 2.20e-02 3.80e+03 -3.0 1.34e+02 - 9.84e-01 1.98e-02f 1\n", + " 28r 0.0000000e+00 1.40e-02 4.09e+03 -3.0 1.19e+02 - 1.00e+00 2.98e-02f 1\n", + " 29r 0.0000000e+00 1.08e-02 3.74e+03 -3.0 7.23e+00 - 1.00e+00 1.08e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.41e-04 2.55e+02 -3.0 2.69e+00 - 1.00e+00 9.35e-01f 1\n", + " 31r 0.0000000e+00 1.74e-06 5.41e-05 -3.0 8.11e-02 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 1.01e-07 4.51e+01 -6.7 1.08e-04 - 9.18e-01 9.75e-01f 1\n", + " 33r 0.0000000e+00 1.29e-08 1.71e+01 -6.7 5.45e-06 - 1.00e+00 8.73e-01f 1\n", + " 34r 0.0000000e+00 6.85e-13 1.25e-10 -6.7 2.06e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 34\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 6.8478556158879655e-13 6.8478556158879655e-13\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 6.8478556158879655e-13 6.8478556158879655e-13\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 36\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 34\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.037\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", + " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 4.99e-02h 1\n", + " 3 0.0000000e+00 1.58e+02 3.12e+03 -1.0 1.59e+02 - 2.24e-01 7.73e-04h 1\n", + " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.86e-07R 5\n", + " 5r 0.0000000e+00 1.20e+02 3.93e+04 2.2 1.91e+04 - 1.16e-02 2.86e-03f 1\n", + " 6r 0.0000000e+00 1.05e+02 3.81e+04 2.2 1.37e+04 - 6.69e-03 1.23e-03f 1\n", + " 7r 0.0000000e+00 1.03e+02 3.52e+04 2.2 1.04e+04 - 1.05e-02 1.58e-04f 1\n", + " 8r 0.0000000e+00 4.10e+01 3.45e+04 2.2 7.27e+03 - 1.17e-02 8.65e-03f 1\n", + " 9r 0.0000000e+00 1.37e+01 2.73e+04 2.2 2.55e+03 - 5.73e-02 1.32e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.16e+01 1.94e+04 2.2 5.29e+02 - 2.56e-01 1.58e-02f 1\n", + " 11r 0.0000000e+00 6.27e+00 1.75e+04 2.2 9.79e+01 - 1.11e-01 1.04e-01f 1\n", + " 12r 0.0000000e+00 4.43e+00 1.73e+04 2.2 7.38e+01 - 3.10e-01 1.15e-01f 1\n", + " 13r 0.0000000e+00 2.85e+00 1.06e+04 2.2 5.47e+01 - 4.02e-01 2.23e-01f 1\n", + " 14r 0.0000000e+00 1.91e+00 7.11e+03 1.5 3.26e+01 - 6.71e-01 2.93e-01f 1\n", + " 15r 0.0000000e+00 1.50e+00 3.07e+03 1.5 4.61e+01 - 7.18e-01 2.60e-01f 1\n", + " 16r 0.0000000e+00 8.87e-01 4.41e+03 1.5 1.73e+01 - 1.00e+00 3.83e-01f 1\n", + " 17r 0.0000000e+00 2.27e-01 5.38e+01 1.5 2.19e+00 - 1.00e+00 1.00e+00f 1\n", + " 18r 0.0000000e+00 2.39e-01 9.36e+02 -0.6 7.35e-01 - 9.74e-01 5.85e-01f 1\n", + " 19r 0.0000000e+00 6.31e-02 6.07e+02 -0.6 2.85e+01 - 2.46e-01 2.89e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 6.37e-02 2.31e+03 -0.6 1.20e+01 - 7.53e-01 5.98e-03f 1\n", + " 21r 0.0000000e+00 4.43e-02 1.69e+03 -0.6 7.41e+00 - 1.00e+00 5.06e-01f 1\n", + " 22r 0.0000000e+00 3.90e-02 5.07e+02 -0.6 3.99e+00 - 1.00e+00 7.93e-01f 1\n", + " 23r 0.0000000e+00 3.82e-02 2.64e+02 -0.6 1.21e+00 - 1.00e+00 9.12e-01f 1\n", + " 24r 0.0000000e+00 3.81e-02 7.27e-03 -0.6 2.68e-01 - 1.00e+00 1.00e+00f 1\n", + " 25r 0.0000000e+00 3.78e-02 2.85e+02 -3.0 4.25e-01 - 9.85e-01 7.72e-01f 1\n", + " 26r 0.0000000e+00 3.10e-02 2.65e+03 -3.0 1.42e+02 - 7.84e-01 1.39e-02f 1\n", + " 27r 0.0000000e+00 2.15e-02 3.78e+03 -3.0 1.33e+02 - 9.82e-01 2.06e-02f 1\n", + " 28r 0.0000000e+00 1.38e-02 4.08e+03 -3.0 1.18e+02 - 1.00e+00 2.96e-02f 1\n", + " 29r 0.0000000e+00 1.08e-02 3.73e+03 -3.0 6.85e+00 - 1.00e+00 1.05e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.72e-04 2.56e+02 -3.0 2.68e+00 - 1.00e+00 9.35e-01f 1\n", + " 31r 0.0000000e+00 1.73e-06 5.39e-05 -3.0 8.85e-02 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 9.53e-08 4.12e+01 -6.7 1.08e-04 - 9.20e-01 9.77e-01f 1\n", + " 33r 0.0000000e+00 1.21e-08 1.69e+01 -6.7 5.13e-06 - 1.00e+00 8.74e-01f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 9.5585005434679369e-09 1.2079203395624852e-08\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 9.5585005434679369e-09 1.2079203395624852e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 39\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 39\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.037\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", + " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.04e-02h 1\n", + " 3 0.0000000e+00 1.58e+02 3.08e+03 -1.0 1.59e+02 - 2.24e-01 7.84e-04h 1\n", + " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.93e-07R 5\n", + " 5r 0.0000000e+00 1.20e+02 3.89e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", + " 6r 0.0000000e+00 1.05e+02 3.76e+04 2.2 1.37e+04 - 6.69e-03 1.19e-03f 1\n", + " 7r 0.0000000e+00 1.04e+02 3.47e+04 2.2 1.04e+04 - 1.02e-02 1.57e-04f 1\n", + " 8r 0.0000000e+00 4.20e+01 3.40e+04 2.2 7.36e+03 - 1.14e-02 8.47e-03f 1\n", + " 9r 0.0000000e+00 1.38e+01 2.70e+04 2.2 2.66e+03 - 5.52e-02 1.26e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.16e+01 1.87e+04 2.2 5.86e+02 - 2.38e-01 1.61e-02f 1\n", + " 11r 0.0000000e+00 6.12e+00 1.70e+04 2.2 9.99e+01 - 1.06e-01 1.00e-01f 1\n", + " 12r 0.0000000e+00 4.42e+00 1.75e+04 2.2 7.52e+01 - 3.27e-01 1.11e-01f 1\n", + " 13r 0.0000000e+00 2.85e+00 1.03e+04 2.2 5.57e+01 - 4.51e-01 2.20e-01f 1\n", + " 14r 0.0000000e+00 1.86e+00 6.68e+03 1.5 3.31e+01 - 6.53e-01 3.00e-01f 1\n", + " 15r 0.0000000e+00 1.52e+00 2.52e+03 1.5 4.59e+01 - 7.16e-01 2.64e-01f 1\n", + " 16r 0.0000000e+00 8.89e-01 4.42e+03 1.5 1.66e+01 - 1.00e+00 3.89e-01f 1\n", + " 17r 0.0000000e+00 2.27e-01 5.41e+01 1.5 2.17e+00 - 1.00e+00 1.00e+00f 1\n", + " 18r 0.0000000e+00 2.39e-01 9.25e+02 -0.6 7.37e-01 - 9.74e-01 5.88e-01f 1\n", + " 19r 0.0000000e+00 6.29e-02 5.98e+02 -0.6 2.85e+01 - 2.46e-01 2.89e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 6.35e-02 2.31e+03 -0.6 1.20e+01 - 7.53e-01 5.99e-03f 1\n", + " 21r 0.0000000e+00 4.42e-02 1.70e+03 -0.6 7.41e+00 - 1.00e+00 5.06e-01f 1\n", + " 22r 0.0000000e+00 3.89e-02 5.02e+02 -0.6 3.99e+00 - 1.00e+00 7.95e-01f 1\n", + " 23r 0.0000000e+00 3.81e-02 2.55e+02 -0.6 1.20e+00 - 1.00e+00 9.16e-01f 1\n", + " 24r 0.0000000e+00 3.80e-02 7.15e-03 -0.6 2.62e-01 - 1.00e+00 1.00e+00f 1\n", + " 25r 0.0000000e+00 3.77e-02 2.81e+02 -3.0 4.25e-01 - 9.84e-01 7.74e-01f 1\n", + " 26r 0.0000000e+00 3.09e-02 2.65e+03 -3.0 1.42e+02 - 7.82e-01 1.39e-02f 1\n", + " 27r 0.0000000e+00 2.14e-02 3.79e+03 -3.0 1.33e+02 - 9.82e-01 2.06e-02f 1\n", + " 28r 0.0000000e+00 1.37e-02 4.10e+03 -3.0 1.18e+02 - 1.00e+00 2.96e-02f 1\n", + " 29r 0.0000000e+00 1.08e-02 3.75e+03 -3.0 6.76e+00 - 1.00e+00 1.05e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.77e-04 2.55e+02 -3.0 2.68e+00 - 1.00e+00 9.35e-01f 1\n", + " 31r 0.0000000e+00 1.73e-06 5.44e-05 -3.0 8.97e-02 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 9.94e-08 4.42e+01 -6.7 1.08e-04 - 9.18e-01 9.76e-01f 1\n", + " 33r 0.0000000e+00 1.26e-08 1.69e+01 -6.7 5.37e-06 - 1.00e+00 8.73e-01f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 9.9154802262365633e-09 1.2614181404999676e-08\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 9.9154802262365633e-09 1.2614181404999676e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 39\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 39\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.038\n", + "Total CPU secs in NLP function evaluations = 0.004\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", + " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.02e-02h 1\n", + " 3 0.0000000e+00 1.58e+02 3.10e+03 -1.0 1.59e+02 - 2.25e-01 7.81e-04h 1\n", + " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.91e-07R 5\n", + " 5r 0.0000000e+00 1.20e+02 3.91e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", + " 6r 0.0000000e+00 1.05e+02 3.78e+04 2.2 1.37e+04 - 6.71e-03 1.19e-03f 1\n", + " 7r 0.0000000e+00 1.04e+02 3.49e+04 2.2 1.04e+04 - 1.03e-02 1.60e-04f 1\n", + " 8r 0.0000000e+00 4.17e+01 3.42e+04 2.2 7.34e+03 - 1.15e-02 8.52e-03f 1\n", + " 9r 0.0000000e+00 1.38e+01 2.72e+04 2.2 2.63e+03 - 5.59e-02 1.28e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.16e+01 1.90e+04 2.2 5.63e+02 - 2.43e-01 1.60e-02f 1\n", + " 11r 0.0000000e+00 6.18e+00 1.71e+04 2.2 9.93e+01 - 1.07e-01 1.01e-01f 1\n", + " 12r 0.0000000e+00 4.43e+00 1.75e+04 2.2 7.48e+01 - 3.25e-01 1.12e-01f 1\n", + " 13r 0.0000000e+00 2.86e+00 1.03e+04 2.2 5.54e+01 - 4.44e-01 2.21e-01f 1\n", + " 14r 0.0000000e+00 1.86e+00 6.68e+03 1.5 3.29e+01 - 6.56e-01 3.00e-01f 1\n", + " 15r 0.0000000e+00 1.51e+00 2.55e+03 1.5 4.58e+01 - 7.18e-01 2.64e-01f 1\n", + " 16r 0.0000000e+00 8.86e-01 4.37e+03 1.5 1.65e+01 - 1.00e+00 3.90e-01f 1\n", + " 17r 0.0000000e+00 2.25e-01 5.37e+01 1.5 2.15e+00 - 1.00e+00 1.00e+00f 1\n", + " 18r 0.0000000e+00 2.38e-01 9.22e+02 -0.6 7.39e-01 - 9.75e-01 5.88e-01f 1\n", + " 19r 0.0000000e+00 6.37e-02 6.02e+02 -0.6 2.85e+01 - 2.45e-01 2.86e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 6.42e-02 2.39e+03 -0.6 1.19e+01 - 7.78e-01 5.99e-03f 1\n", + " 21r 0.0000000e+00 4.44e-02 1.69e+03 -0.6 7.48e+00 - 1.00e+00 5.10e-01f 1\n", + " 22r 0.0000000e+00 3.90e-02 4.98e+02 -0.6 3.99e+00 - 1.00e+00 7.95e-01f 1\n", + " 23r 0.0000000e+00 3.82e-02 2.52e+02 -0.6 1.20e+00 - 1.00e+00 9.16e-01f 1\n", + " 24r 0.0000000e+00 3.81e-02 7.14e-03 -0.6 2.62e-01 - 1.00e+00 1.00e+00f 1\n", + " 25r 0.0000000e+00 3.78e-02 2.82e+02 -3.0 4.28e-01 - 9.85e-01 7.73e-01f 1\n", + " 26r 0.0000000e+00 3.11e-02 2.66e+03 -3.0 1.42e+02 - 7.86e-01 1.38e-02f 1\n", + " 27r 0.0000000e+00 2.18e-02 3.78e+03 -3.0 1.33e+02 - 9.83e-01 2.01e-02f 1\n", + " 28r 0.0000000e+00 1.39e-02 4.09e+03 -3.0 1.19e+02 - 1.00e+00 2.97e-02f 1\n", + " 29r 0.0000000e+00 1.08e-02 3.73e+03 -3.0 7.05e+00 - 1.00e+00 1.07e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.55e-04 2.55e+02 -3.0 2.68e+00 - 1.00e+00 9.35e-01f 1\n", + " 31r 0.0000000e+00 1.71e-06 5.38e-05 -3.0 8.45e-02 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 9.62e-08 4.17e+01 -6.7 1.08e-04 - 9.20e-01 9.76e-01f 1\n", + " 33r 0.0000000e+00 1.22e-08 1.70e+01 -6.7 5.17e-06 - 1.00e+00 8.73e-01f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 9.6573096011856024e-09 1.2203561846685839e-08\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 9.6573096011856024e-09 1.2203561846685839e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 39\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 39\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.034\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", + " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.04e-02h 1\n", + " 3 0.0000000e+00 1.58e+02 3.08e+03 -1.0 1.59e+02 - 2.25e-01 7.84e-04h 1\n", + " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.93e-07R 5\n", + " 5r 0.0000000e+00 1.20e+02 3.90e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", + " 6r 0.0000000e+00 1.05e+02 3.77e+04 2.2 1.37e+04 - 6.71e-03 1.19e-03f 1\n", + " 7r 0.0000000e+00 1.04e+02 3.48e+04 2.2 1.04e+04 - 1.02e-02 1.59e-04f 1\n", + " 8r 0.0000000e+00 4.19e+01 3.41e+04 2.2 7.35e+03 - 1.14e-02 8.49e-03f 1\n", + " 9r 0.0000000e+00 1.38e+01 2.71e+04 2.2 2.65e+03 - 5.55e-02 1.27e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.16e+01 1.88e+04 2.2 5.72e+02 - 2.40e-01 1.61e-02f 1\n", + " 11r 0.0000000e+00 6.15e+00 1.71e+04 2.2 9.97e+01 - 1.06e-01 1.01e-01f 1\n", + " 12r 0.0000000e+00 4.42e+00 1.75e+04 2.2 7.51e+01 - 3.26e-01 1.11e-01f 1\n", + " 13r 0.0000000e+00 2.86e+00 1.03e+04 2.2 5.56e+01 - 4.49e-01 2.20e-01f 1\n", + " 14r 0.0000000e+00 1.86e+00 6.69e+03 1.5 3.31e+01 - 6.53e-01 2.99e-01f 1\n", + " 15r 0.0000000e+00 1.52e+00 2.52e+03 1.5 4.60e+01 - 7.15e-01 2.64e-01f 1\n", + " 16r 0.0000000e+00 8.90e-01 4.38e+03 1.5 1.67e+01 - 1.00e+00 3.88e-01f 1\n", + " 17r 0.0000000e+00 2.26e-01 5.40e+01 1.5 2.17e+00 - 1.00e+00 1.00e+00f 1\n", + " 18r 0.0000000e+00 2.38e-01 9.33e+02 -0.6 7.38e-01 - 9.75e-01 5.87e-01f 1\n", + " 19r 0.0000000e+00 6.37e-02 6.09e+02 -0.6 2.85e+01 - 2.45e-01 2.86e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 6.42e-02 2.39e+03 -0.6 1.19e+01 - 7.75e-01 5.99e-03f 1\n", + " 21r 0.0000000e+00 4.44e-02 1.69e+03 -0.6 7.47e+00 - 1.00e+00 5.09e-01f 1\n", + " 22r 0.0000000e+00 3.90e-02 4.97e+02 -0.6 3.99e+00 - 1.00e+00 7.96e-01f 1\n", + " 23r 0.0000000e+00 3.82e-02 2.54e+02 -0.6 1.20e+00 - 1.00e+00 9.16e-01f 1\n", + " 24r 0.0000000e+00 3.81e-02 7.14e-03 -0.6 2.63e-01 - 1.00e+00 1.00e+00f 1\n", + " 25r 0.0000000e+00 3.78e-02 2.82e+02 -3.0 4.28e-01 - 9.85e-01 7.73e-01f 1\n", + " 26r 0.0000000e+00 3.11e-02 2.66e+03 -3.0 1.42e+02 - 7.86e-01 1.38e-02f 1\n", + " 27r 0.0000000e+00 2.18e-02 3.80e+03 -3.0 1.33e+02 - 9.83e-01 2.01e-02f 1\n", + " 28r 0.0000000e+00 1.39e-02 4.09e+03 -3.0 1.19e+02 - 1.00e+00 2.97e-02f 1\n", + " 29r 0.0000000e+00 1.08e-02 3.74e+03 -3.0 7.05e+00 - 1.00e+00 1.07e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.55e-04 2.55e+02 -3.0 2.69e+00 - 1.00e+00 9.35e-01f 1\n", + " 31r 0.0000000e+00 1.73e-06 5.42e-05 -3.0 8.44e-02 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 1.00e-07 4.44e+01 -6.7 1.08e-04 - 9.18e-01 9.75e-01f 1\n", + " 33r 0.0000000e+00 1.27e-08 1.70e+01 -6.7 5.39e-06 - 1.00e+00 8.73e-01f 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 9.9941191980587378e-09 1.2730255267110208e-08\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 9.9941191980587378e-09 1.2730255267110208e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 39\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 39\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 35\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", + " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.08e-02h 1\n", + " 3 0.0000000e+00 1.58e+02 3.05e+03 -1.0 1.59e+02 - 2.25e-01 7.95e-04h 1\n", + " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.50e-07R 6\n", + " 5r 0.0000000e+00 1.20e+02 3.86e+04 2.2 1.91e+04 - 1.16e-02 2.88e-03f 1\n", + " 6r 0.0000000e+00 1.06e+02 3.72e+04 2.2 1.37e+04 - 6.76e-03 1.13e-03f 1\n", + " 7r 0.0000000e+00 1.04e+02 3.44e+04 2.2 1.04e+04 - 9.85e-03 1.63e-04f 1\n", + " 8r 0.0000000e+00 4.31e+01 3.37e+04 2.2 7.45e+03 - 1.11e-02 8.31e-03f 1\n", + " 9r 0.0000000e+00 1.40e+01 2.69e+04 2.2 2.77e+03 - 5.36e-02 1.22e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.17e+01 1.84e+04 2.2 6.19e+02 - 2.25e-01 1.64e-02f 1\n", + " 11r 0.0000000e+00 6.05e+00 1.67e+04 2.2 1.01e+02 - 1.02e-01 9.77e-02f 1\n", + " 12r 0.0000000e+00 4.42e+00 1.78e+04 2.2 7.63e+01 - 3.32e-01 1.07e-01f 1\n", + " 13r 0.0000000e+00 2.88e+00 1.04e+04 2.2 5.65e+01 - 4.71e-01 2.14e-01f 1\n", + " 14r 0.0000000e+00 1.84e+00 6.85e+03 1.5 3.38e+01 - 6.41e-01 2.96e-01f 1\n", + " 15r 0.0000000e+00 1.52e+00 2.78e+03 1.5 4.70e+01 - 7.04e-01 2.66e-01f 1\n", + " 16r 0.0000000e+00 9.06e-01 4.52e+03 1.5 1.72e+01 - 1.00e+00 3.81e-01f 1\n", + " 17r 0.0000000e+00 2.24e-01 5.61e+01 1.5 2.23e+00 - 1.00e+00 1.00e+00f 1\n", + " 18r 0.0000000e+00 2.36e-01 9.81e+02 -0.6 7.37e-01 - 9.75e-01 5.78e-01f 1\n", + " 19r 0.0000000e+00 6.51e-02 6.57e+02 -0.6 2.84e+01 - 2.44e-01 2.80e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 6.56e-02 2.56e+03 -0.6 1.20e+01 - 8.21e-01 5.99e-03f 1\n", + " 21r 0.0000000e+00 4.46e-02 1.69e+03 -0.6 7.60e+00 - 1.00e+00 5.16e-01f 1\n", + " 22r 0.0000000e+00 3.91e-02 4.89e+02 -0.6 3.98e+00 - 1.00e+00 7.97e-01f 1\n", + " 23r 0.0000000e+00 3.83e-02 2.60e+02 -0.6 1.19e+00 - 1.00e+00 9.14e-01f 1\n", + " 24r 0.0000000e+00 3.82e-02 7.19e-03 -0.6 2.66e-01 - 1.00e+00 1.00e+00f 1\n", + " 25r 0.0000000e+00 3.79e-02 2.82e+02 -3.0 4.32e-01 - 9.86e-01 7.74e-01f 1\n", + " 26r 0.0000000e+00 3.13e-02 2.66e+03 -3.0 1.42e+02 - 7.90e-01 1.36e-02f 1\n", + " 27r 0.0000000e+00 2.23e-02 3.82e+03 -3.0 1.34e+02 - 9.84e-01 1.94e-02f 1\n", + " 28r 0.0000000e+00 1.70e-02 4.15e+03 -3.0 1.17e+02 - 1.00e+00 1.96e-02f 1\n", + " 29r 0.0000000e+00 1.25e-02 3.73e+03 -3.0 1.19e+01 - 1.00e+00 1.23e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.09e-04 2.57e+02 -3.0 3.13e+00 - 1.00e+00 9.34e-01f 1\n", + " 31r 0.0000000e+00 1.77e-06 5.35e-05 -3.0 7.34e-02 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 1.12e-07 5.08e+01 -6.7 1.07e-04 - 9.14e-01 9.72e-01f 1\n", + " 33r 0.0000000e+00 1.43e-08 1.71e+01 -6.7 6.06e-06 - 1.00e+00 8.73e-01f 1\n", + " 34r 0.0000000e+00 6.86e-13 1.52e-10 -6.7 2.29e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 34\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 6.8567374000849668e-13 6.8567374000849668e-13\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 6.8567374000849668e-13 6.8567374000849668e-13\n", + "\n", + "\n", + "Number of objective function evaluations = 41\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 41\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 36\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 34\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", + " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.04e-02h 1\n", + " 3 0.0000000e+00 1.58e+02 3.09e+03 -1.0 1.59e+02 - 2.25e-01 7.84e-04h 1\n", + " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.93e-07R 5\n", + " 5r 0.0000000e+00 1.20e+02 3.91e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", + " 6r 0.0000000e+00 1.05e+02 3.77e+04 2.2 1.36e+04 - 6.75e-03 1.17e-03f 1\n", + " 7r 0.0000000e+00 1.04e+02 3.49e+04 2.2 1.04e+04 - 1.02e-02 1.63e-04f 1\n", + " 8r 0.0000000e+00 4.21e+01 3.42e+04 2.2 7.37e+03 - 1.14e-02 8.49e-03f 1\n", + " 9r 0.0000000e+00 1.38e+01 2.71e+04 2.2 2.66e+03 - 5.56e-02 1.27e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.16e+01 1.89e+04 2.2 5.64e+02 - 2.40e-01 1.61e-02f 1\n", + " 11r 0.0000000e+00 6.18e+00 1.71e+04 2.2 9.96e+01 - 1.06e-01 1.01e-01f 1\n", + " 12r 0.0000000e+00 4.43e+00 1.76e+04 2.2 7.50e+01 - 3.26e-01 1.11e-01f 1\n", + " 13r 0.0000000e+00 2.88e+00 1.03e+04 2.2 5.56e+01 - 4.49e-01 2.18e-01f 1\n", + " 14r 0.0000000e+00 1.86e+00 6.73e+03 1.5 3.32e+01 - 6.51e-01 2.97e-01f 1\n", + " 15r 0.0000000e+00 1.52e+00 2.56e+03 1.5 4.63e+01 - 7.12e-01 2.64e-01f 1\n", + " 16r 0.0000000e+00 8.94e-01 4.37e+03 1.5 1.70e+01 - 1.00e+00 3.85e-01f 1\n", + " 17r 0.0000000e+00 2.24e-01 5.45e+01 1.5 2.19e+00 - 1.00e+00 1.00e+00f 1\n", + " 18r 0.0000000e+00 2.36e-01 9.54e+02 -0.6 7.39e-01 - 9.76e-01 5.83e-01f 1\n", + " 19r 0.0000000e+00 6.50e-02 6.35e+02 -0.6 2.84e+01 - 2.44e-01 2.81e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 6.55e-02 2.52e+03 -0.6 1.19e+01 - 8.16e-01 5.98e-03f 1\n", + " 21r 0.0000000e+00 4.46e-02 1.68e+03 -0.6 7.59e+00 - 1.00e+00 5.16e-01f 1\n", + " 22r 0.0000000e+00 3.92e-02 4.90e+02 -0.6 3.98e+00 - 1.00e+00 7.96e-01f 1\n", + " 23r 0.0000000e+00 3.84e-02 2.56e+02 -0.6 1.19e+00 - 1.00e+00 9.15e-01f 1\n", + " 24r 0.0000000e+00 3.83e-02 7.16e-03 -0.6 2.65e-01 - 1.00e+00 1.00e+00f 1\n", + " 25r 0.0000000e+00 3.80e-02 2.83e+02 -3.0 4.32e-01 - 9.86e-01 7.73e-01f 1\n", + " 26r 0.0000000e+00 3.14e-02 2.66e+03 -3.0 1.42e+02 - 7.90e-01 1.36e-02f 1\n", + " 27r 0.0000000e+00 2.24e-02 3.80e+03 -3.0 1.34e+02 - 9.84e-01 1.94e-02f 1\n", + " 28r 0.0000000e+00 1.70e-02 4.13e+03 -3.0 1.15e+02 - 1.00e+00 1.95e-02f 1\n", + " 29r 0.0000000e+00 1.17e-02 3.62e+03 -3.0 1.08e+01 - 1.00e+00 1.44e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 2.90e-04 2.53e+02 -3.0 2.94e+00 - 1.00e+00 9.33e-01f 1\n", + " 31r 0.0000000e+00 1.72e-06 5.39e-05 -3.0 6.87e-02 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 1.00e-07 4.41e+01 -6.7 1.06e-04 - 9.19e-01 9.75e-01f 1\n", + " 33r 0.0000000e+00 1.28e-08 1.71e+01 -6.7 5.37e-06 - 1.00e+00 8.73e-01f 1\n", + " 34r 0.0000000e+00 6.87e-13 1.21e-10 -6.7 2.04e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 34\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 6.8656191842819680e-13 6.8656191842819680e-13\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 6.8656191842819680e-13 6.8656191842819680e-13\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 36\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 34\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Existed information has been added.\n", + "FIM: [[ 67.43944991 16.97355972 -181.02402494 -68.75272095]\n", + " [ 16.97355972 65.45319417 -35.53610815 -321.03948251]\n", + " [-181.02402494 -35.53610815 511.50883088 153.58161758]\n", + " [ -68.75272095 -321.03948251 153.58161758 1677.99578032]]\n", + "Trace: 2322.3972552808445\n", + "Determinant: 8424818.599161308\n", + "Condition number: 1004.2326176367176\n", + "Minimal eigen value: 1.7571556450822234\n", + "Eigen values: [1.76459301e+03 5.51116915e+02 1.75715565e+00 4.93017154e+00]\n", + "Eigen vectors: [[ 0.05536236 -0.32851776 -0.75957499 0.55862056]\n", + " [ 0.1869423 0.01478038 0.58663915 0.78783794]\n", + " [-0.13240968 0.93348404 -0.2605014 0.20788037]\n", + " [-0.97183088 -0.14305654 0.1050684 0.15504901]]\n", + "========This is the No. 4 experiment.========\n", + "Design variables: {'CA0': {0: 5}, 'T': {0: 562}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", + " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.88e-02h 1\n", + " 3 0.0000000e+00 1.72e+02 2.94e+03 -1.0 1.72e+02 - 2.14e-01 7.68e-04h 1\n", + " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.83e-07R 5\n", + " 5r 0.0000000e+00 1.32e+02 3.73e+04 2.2 1.86e+04 - 1.27e-02 3.07e-03f 1\n", + " 6r 0.0000000e+00 1.29e+02 3.53e+04 2.2 1.35e+04 - 7.38e-03 2.58e-04f 1\n", + " 7r 0.0000000e+00 7.51e+01 3.48e+04 2.2 1.11e+04 - 6.31e-03 5.17e-03f 1\n", + " 8r 0.0000000e+00 5.23e+01 2.95e+04 2.2 7.15e+03 - 2.83e-02 3.28e-03f 1\n", + " 9r 0.0000000e+00 1.33e+01 1.97e+04 2.2 2.19e+03 - 8.00e-02 2.15e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.74e+00 1.51e+04 2.2 1.13e+02 - 1.04e-01 6.99e-02f 1\n", + " 11r 0.0000000e+00 3.63e+00 6.94e+03 2.2 8.45e+01 - 2.09e-01 1.03e-01f 1\n", + " 12r 0.0000000e+00 2.69e+00 1.41e+04 1.5 5.55e+01 - 3.97e-01 1.06e-01f 1\n", + " 13r 0.0000000e+00 2.16e+00 1.35e+04 1.5 9.57e+01 - 2.38e-01 1.23e-01f 1\n", + " 14r 0.0000000e+00 1.96e+00 1.15e+04 1.5 7.79e+01 - 3.11e-01 1.70e-01f 1\n", + " 15r 0.0000000e+00 1.27e+00 6.95e+03 1.5 4.43e+01 - 5.70e-01 2.34e-01f 1\n", + " 16r 0.0000000e+00 6.67e-01 2.99e+03 1.5 1.40e+01 - 8.52e-01 4.33e-01f 1\n", + " 17r 0.0000000e+00 2.60e-01 2.98e+03 1.5 1.74e+00 - 8.24e-01 6.96e-01f 1\n", + " 18r 0.0000000e+00 2.57e-01 1.69e+03 1.5 3.73e-01 - 8.51e-01 1.00e+00f 1\n", + " 19r 0.0000000e+00 2.72e-01 3.02e+02 0.8 7.48e-01 - 1.00e+00 8.81e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 2.35e-01 8.47e+02 0.1 3.35e+00 - 6.80e-01 3.83e-01f 1\n", + " 21r 0.0000000e+00 9.44e-02 6.04e+02 0.1 1.29e+01 - 7.27e-01 5.48e-01f 1\n", + " 22r 0.0000000e+00 7.77e-02 5.43e+02 0.1 2.21e+00 - 9.62e-01 6.59e-01f 1\n", + " 23r 0.0000000e+00 7.90e-02 8.60e-02 0.1 7.77e-01 - 1.00e+00 1.00e+00f 1\n", + " 24r 0.0000000e+00 7.68e-02 3.10e+02 -2.0 7.47e-01 - 9.08e-01 7.24e-01f 1\n", + " 25r 0.0000000e+00 5.47e-02 2.79e+03 -2.0 6.24e+01 - 9.05e-01 7.60e-02f 1\n", + " 26r 0.0000000e+00 4.22e-02 3.10e+03 -2.0 3.76e+01 - 9.40e-01 9.45e-02f 1\n", + " 27r 0.0000000e+00 2.87e-02 3.07e+03 -2.0 3.24e+01 - 1.00e+00 1.19e-01f 1\n", + " 28r 0.0000000e+00 9.66e-03 2.44e+03 -2.0 2.18e+01 - 1.00e+00 2.29e-01f 1\n", + " 29r 0.0000000e+00 2.28e-03 1.70e+03 -2.0 5.91e+00 - 1.00e+00 3.58e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.04e-04 3.49e+02 -2.0 8.98e-01 - 1.00e+00 8.23e-01f 1\n", + " 31r 0.0000000e+00 1.46e-05 3.37e-04 -2.0 1.56e-01 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 5.16e-06 1.12e+03 -4.4 4.99e-03 - 1.00e+00 6.49e-01f 1\n", + " 33r 0.0000000e+00 2.55e-06 2.13e+03 -4.4 4.09e-03 - 9.22e-01 5.21e-01f 1\n", + " 34r 0.0000000e+00 4.55e-07 2.19e+02 -4.4 4.20e-04 - 9.21e-01 9.11e-01f 1\n", + " 35r 0.0000000e+00 1.80e-09 2.87e-07 -4.4 6.36e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 35\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.7977388466761113e-09 1.7977388466761113e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.7977388466761113e-09 1.7977388466761113e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 41\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 41\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 37\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 35\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", + " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.87e-02h 1\n", + " 3 0.0000000e+00 1.72e+02 2.95e+03 -1.0 1.72e+02 - 2.14e-01 7.65e-04h 1\n", + " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.81e-07R 5\n", + " 5r 0.0000000e+00 1.32e+02 3.74e+04 2.2 1.86e+04 - 1.27e-02 3.07e-03f 1\n", + " 6r 0.0000000e+00 1.29e+02 3.55e+04 2.2 1.35e+04 - 7.40e-03 2.72e-04f 1\n", + " 7r 0.0000000e+00 7.50e+01 3.50e+04 2.2 1.11e+04 - 6.35e-03 5.17e-03f 1\n", + " 8r 0.0000000e+00 5.20e+01 2.96e+04 2.2 7.12e+03 - 2.86e-02 3.31e-03f 1\n", + " 9r 0.0000000e+00 1.33e+01 1.98e+04 2.2 2.17e+03 - 8.05e-02 2.15e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.75e+00 1.48e+04 2.2 1.13e+02 - 1.07e-01 7.01e-02f 1\n", + " 11r 0.0000000e+00 3.58e+00 6.96e+03 2.2 8.40e+01 - 2.09e-01 1.08e-01f 1\n", + " 12r 0.0000000e+00 2.54e+00 1.38e+04 1.5 5.47e+01 - 4.04e-01 1.19e-01f 1\n", + " 13r 0.0000000e+00 2.03e+00 1.27e+04 1.5 9.37e+01 - 2.05e-01 1.27e-01f 1\n", + " 14r 0.0000000e+00 1.91e+00 1.07e+04 1.5 7.51e+01 - 3.12e-01 1.82e-01f 1\n", + " 15r 0.0000000e+00 1.18e+00 6.31e+03 1.5 4.12e+01 - 5.62e-01 2.19e-01f 1\n", + " 16r 0.0000000e+00 6.01e-01 2.89e+03 1.5 1.31e+01 - 8.38e-01 4.51e-01f 1\n", + " 17r 0.0000000e+00 2.61e-01 3.01e+03 1.5 1.56e+00 - 8.17e-01 6.92e-01f 1\n", + " 18r 0.0000000e+00 2.57e-01 1.54e+03 1.5 3.43e-01 - 8.58e-01 1.00e+00f 1\n", + " 19r 0.0000000e+00 2.72e-01 2.72e+02 0.8 7.49e-01 - 1.00e+00 8.86e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 2.35e-01 8.44e+02 0.1 3.35e+00 - 6.78e-01 3.83e-01f 1\n", + " 21r 0.0000000e+00 9.44e-02 5.98e+02 0.1 1.29e+01 - 7.25e-01 5.48e-01f 1\n", + " 22r 0.0000000e+00 7.77e-02 5.46e+02 0.1 2.21e+00 - 9.63e-01 6.56e-01f 1\n", + " 23r 0.0000000e+00 7.89e-02 8.69e-02 0.1 7.78e-01 - 1.00e+00 1.00e+00f 1\n", + " 24r 0.0000000e+00 7.68e-02 3.12e+02 -2.0 7.47e-01 - 9.09e-01 7.24e-01f 1\n", + " 25r 0.0000000e+00 5.47e-02 2.79e+03 -2.0 6.24e+01 - 9.06e-01 7.60e-02f 1\n", + " 26r 0.0000000e+00 4.22e-02 3.09e+03 -2.0 3.76e+01 - 9.41e-01 9.42e-02f 1\n", + " 27r 0.0000000e+00 2.87e-02 3.06e+03 -2.0 3.24e+01 - 1.00e+00 1.20e-01f 1\n", + " 28r 0.0000000e+00 9.66e-03 2.44e+03 -2.0 2.18e+01 - 1.00e+00 2.28e-01f 1\n", + " 29r 0.0000000e+00 2.29e-03 1.70e+03 -2.0 5.94e+00 - 1.00e+00 3.55e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.09e-04 3.52e+02 -2.0 8.97e-01 - 1.00e+00 8.21e-01f 1\n", + " 31r 0.0000000e+00 1.46e-05 3.44e-04 -2.0 1.57e-01 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 5.19e-06 1.13e+03 -4.4 4.99e-03 - 1.00e+00 6.47e-01f 1\n", + " 33r 0.0000000e+00 2.57e-06 2.14e+03 -4.4 4.11e-03 - 9.21e-01 5.21e-01f 1\n", + " 34r 0.0000000e+00 4.49e-07 2.02e+02 -4.4 4.22e-04 - 9.20e-01 9.14e-01f 1\n", + " 35r 0.0000000e+00 1.80e-09 2.62e-07 -4.4 6.33e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 35\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.7952785924535419e-09 1.7952785924535419e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.7952785924535419e-09 1.7952785924535419e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 41\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 41\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 37\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 35\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.038\n", + "Total CPU secs in NLP function evaluations = 0.004\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.01e-01f 1\n", + " 2 0.0000000e+00 1.72e+02 2.40e+01 -1.0 1.81e+02 - 1.33e-01 4.82e-02h 1\n", + " 3 0.0000000e+00 1.72e+02 2.99e+03 -1.0 1.72e+02 - 2.14e-01 7.54e-04h 1\n", + " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.75e-07R 5\n", + " 5r 0.0000000e+00 1.32e+02 3.78e+04 2.2 1.86e+04 - 1.27e-02 3.06e-03f 1\n", + " 6r 0.0000000e+00 1.27e+02 3.59e+04 2.2 1.35e+04 - 7.46e-03 3.71e-04f 1\n", + " 7r 0.0000000e+00 7.52e+01 3.53e+04 2.2 1.10e+04 - 6.59e-03 5.05e-03f 1\n", + " 8r 0.0000000e+00 5.03e+01 2.96e+04 2.2 7.03e+03 - 3.13e-02 3.62e-03f 1\n", + " 9r 0.0000000e+00 1.33e+01 2.11e+04 2.2 1.98e+03 - 7.37e-02 2.15e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.76e+00 1.39e+04 2.2 1.20e+02 - 1.26e-01 6.90e-02f 1\n", + " 11r 0.0000000e+00 3.52e+00 7.22e+03 2.2 8.27e+01 - 2.07e-01 1.15e-01f 1\n", + " 12r 0.0000000e+00 2.42e+00 1.36e+04 1.5 5.34e+01 - 4.09e-01 1.31e-01f 1\n", + " 13r 0.0000000e+00 1.93e+00 1.23e+04 1.5 9.09e+01 - 1.87e-01 1.30e-01f 1\n", + " 14r 0.0000000e+00 1.86e+00 1.04e+04 1.5 7.24e+01 - 2.98e-01 1.73e-01f 1\n", + " 15r 0.0000000e+00 1.19e+00 5.84e+03 1.5 4.11e+01 - 5.85e-01 2.21e-01f 1\n", + " 16r 0.0000000e+00 6.04e-01 2.90e+03 1.5 1.31e+01 - 8.41e-01 4.52e-01f 1\n", + " 17r 0.0000000e+00 2.62e-01 4.23e+03 1.5 1.56e+00 - 9.52e-01 7.57e-01f 1\n", + " 18r 0.0000000e+00 2.59e-01 1.56e+03 1.5 2.52e-01 - 8.37e-01 1.00e+00f 1\n", + " 19r 0.0000000e+00 2.74e-01 2.62e+02 0.8 7.49e-01 - 1.00e+00 8.92e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 2.38e-01 8.21e+02 0.1 3.32e+00 - 6.78e-01 3.83e-01f 1\n", + " 21r 0.0000000e+00 9.40e-02 5.63e+02 0.1 1.29e+01 - 7.22e-01 5.55e-01f 1\n", + " 22r 0.0000000e+00 7.78e-02 5.80e+02 0.1 2.16e+00 - 9.90e-01 6.54e-01f 1\n", + " 23r 0.0000000e+00 7.86e-02 8.58e-02 0.1 7.68e-01 - 1.00e+00 1.00e+00f 1\n", + " 24r 0.0000000e+00 7.67e-02 3.27e+02 -2.0 7.41e-01 - 9.19e-01 7.25e-01f 1\n", + " 25r 0.0000000e+00 5.44e-02 2.79e+03 -2.0 6.29e+01 - 9.06e-01 7.62e-02f 1\n", + " 26r 0.0000000e+00 4.23e-02 3.08e+03 -2.0 3.74e+01 - 9.50e-01 9.10e-02f 1\n", + " 27r 0.0000000e+00 2.82e-02 3.05e+03 -2.0 3.25e+01 - 1.00e+00 1.23e-01f 1\n", + " 28r 0.0000000e+00 9.52e-03 2.44e+03 -2.0 2.24e+01 - 1.00e+00 2.23e-01f 1\n", + " 29r 0.0000000e+00 2.40e-03 1.79e+03 -2.0 6.05e+00 - 1.00e+00 3.23e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.58e-04 3.90e+02 -2.0 9.02e-01 - 1.00e+00 8.09e-01f 1\n", + " 31r 0.0000000e+00 1.45e-05 4.01e-04 -2.0 1.69e-01 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 5.31e-06 1.20e+03 -4.4 5.03e-03 - 1.00e+00 6.37e-01f 1\n", + " 33r 0.0000000e+00 2.64e-06 2.13e+03 -4.4 4.26e-03 - 9.18e-01 5.22e-01f 1\n", + " 34r 0.0000000e+00 4.58e-07 1.95e+02 -4.4 4.37e-04 - 9.18e-01 9.15e-01f 1\n", + " 35r 0.0000000e+00 1.74e-09 2.63e-07 -4.4 6.68e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 35\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.7355104020566614e-09 1.7355104020566614e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.7355104020566614e-09 1.7355104020566614e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 41\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 41\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 37\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 35\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.045\n", + "Total CPU secs in NLP function evaluations = 0.005\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", + " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.87e-02h 1\n", + " 3 0.0000000e+00 1.72e+02 2.95e+03 -1.0 1.72e+02 - 2.14e-01 7.65e-04h 1\n", + " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.81e-07R 5\n", + " 5r 0.0000000e+00 1.32e+02 3.73e+04 2.2 1.86e+04 - 1.26e-02 3.07e-03f 1\n", + " 6r 0.0000000e+00 1.28e+02 3.54e+04 2.2 1.35e+04 - 7.42e-03 2.98e-04f 1\n", + " 7r 0.0000000e+00 7.48e+01 3.49e+04 2.2 1.11e+04 - 6.36e-03 5.16e-03f 1\n", + " 8r 0.0000000e+00 5.16e+01 2.95e+04 2.2 7.10e+03 - 2.90e-02 3.35e-03f 1\n", + " 9r 0.0000000e+00 1.33e+01 1.98e+04 2.2 2.13e+03 - 7.96e-02 2.16e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.73e+00 1.45e+04 2.2 1.13e+02 - 1.11e-01 7.03e-02f 1\n", + " 11r 0.0000000e+00 3.43e+00 7.12e+03 2.2 8.37e+01 - 2.10e-01 1.15e-01f 1\n", + " 12r 0.0000000e+00 2.34e+00 1.25e+04 1.5 5.36e+01 - 3.82e-01 1.31e-01f 1\n", + " 13r 0.0000000e+00 1.88e+00 1.14e+04 1.5 9.09e+01 - 1.78e-01 1.27e-01f 1\n", + " 14r 0.0000000e+00 1.85e+00 9.82e+03 1.5 7.34e+01 - 2.81e-01 1.66e-01f 1\n", + " 15r 0.0000000e+00 1.23e+00 6.11e+03 1.5 4.32e+01 - 5.36e-01 2.17e-01f 1\n", + " 16r 0.0000000e+00 6.34e-01 3.11e+03 1.5 1.47e+01 - 8.27e-01 4.18e-01f 1\n", + " 17r 0.0000000e+00 2.62e-01 2.97e+03 1.5 1.73e+00 - 8.46e-01 7.17e-01f 1\n", + " 18r 0.0000000e+00 2.59e-01 1.91e+03 1.5 3.10e-01 - 8.33e-01 1.00e+00f 1\n", + " 19r 0.0000000e+00 2.73e-01 3.21e+02 0.8 7.48e-01 - 1.00e+00 8.84e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 2.37e-01 8.49e+02 0.1 3.34e+00 - 6.81e-01 3.83e-01f 1\n", + " 21r 0.0000000e+00 9.41e-02 5.87e+02 0.1 1.29e+01 - 7.25e-01 5.54e-01f 1\n", + " 22r 0.0000000e+00 7.77e-02 5.77e+02 0.1 2.17e+00 - 9.86e-01 6.59e-01f 1\n", + " 23r 0.0000000e+00 7.85e-02 8.38e-02 0.1 7.66e-01 - 1.00e+00 1.00e+00f 1\n", + " 24r 0.0000000e+00 7.65e-02 3.29e+02 -2.0 7.42e-01 - 9.21e-01 7.26e-01f 1\n", + " 25r 0.0000000e+00 5.43e-02 2.80e+03 -2.0 6.29e+01 - 9.05e-01 7.59e-02f 1\n", + " 26r 0.0000000e+00 4.23e-02 3.11e+03 -2.0 3.74e+01 - 9.52e-01 9.08e-02f 1\n", + " 27r 0.0000000e+00 2.81e-02 3.06e+03 -2.0 3.26e+01 - 1.00e+00 1.24e-01f 1\n", + " 28r 0.0000000e+00 9.50e-03 2.45e+03 -2.0 2.25e+01 - 1.00e+00 2.22e-01f 1\n", + " 29r 0.0000000e+00 2.40e-03 1.81e+03 -2.0 6.05e+00 - 1.00e+00 3.20e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.60e-04 3.93e+02 -2.0 8.97e-01 - 1.00e+00 8.08e-01f 1\n", + " 31r 0.0000000e+00 1.45e-05 4.02e-04 -2.0 1.69e-01 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 5.28e-06 1.20e+03 -4.4 5.02e-03 - 1.00e+00 6.38e-01f 1\n", + " 33r 0.0000000e+00 2.63e-06 2.10e+03 -4.4 4.24e-03 - 9.19e-01 5.22e-01f 1\n", + " 34r 0.0000000e+00 4.73e-07 2.32e+02 -4.4 4.37e-04 - 9.20e-01 9.08e-01f 1\n", + " 35r 0.0000000e+00 1.72e-09 3.22e-07 -4.4 6.86e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 35\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.7219177195215707e-09 1.7219177195215707e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.7219177195215707e-09 1.7219177195215707e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 41\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 41\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 37\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 35\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.043\n", + "Total CPU secs in NLP function evaluations = 0.004\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", + " 2 0.0000000e+00 1.72e+02 2.40e+01 -1.0 1.81e+02 - 1.33e-01 4.86e-02h 1\n", + " 3 0.0000000e+00 1.72e+02 2.96e+03 -1.0 1.72e+02 - 2.14e-01 7.62e-04h 1\n", + " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.79e-07R 5\n", + " 5r 0.0000000e+00 1.32e+02 3.75e+04 2.2 1.86e+04 - 1.27e-02 3.07e-03f 1\n", + " 6r 0.0000000e+00 1.28e+02 3.56e+04 2.2 1.35e+04 - 7.42e-03 3.03e-04f 1\n", + " 7r 0.0000000e+00 7.48e+01 3.50e+04 2.2 1.11e+04 - 6.42e-03 5.16e-03f 1\n", + " 8r 0.0000000e+00 5.14e+01 2.97e+04 2.2 7.08e+03 - 2.92e-02 3.39e-03f 1\n", + " 9r 0.0000000e+00 1.33e+01 2.04e+04 2.2 2.11e+03 - 7.73e-02 2.15e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.74e+00 1.45e+04 2.2 1.13e+02 - 1.15e-01 6.94e-02f 1\n", + " 11r 0.0000000e+00 3.47e+00 7.13e+03 2.2 8.36e+01 - 2.08e-01 1.14e-01f 1\n", + " 12r 0.0000000e+00 2.35e+00 1.31e+04 1.5 5.38e+01 - 3.99e-01 1.32e-01f 1\n", + " 13r 0.0000000e+00 1.88e+00 1.18e+04 1.5 9.10e+01 - 1.77e-01 1.28e-01f 1\n", + " 14r 0.0000000e+00 1.85e+00 1.01e+04 1.5 7.31e+01 - 2.83e-01 1.66e-01f 1\n", + " 15r 0.0000000e+00 1.23e+00 6.24e+03 1.5 4.28e+01 - 5.37e-01 2.18e-01f 1\n", + " 16r 0.0000000e+00 6.28e-01 3.07e+03 1.5 1.45e+01 - 8.32e-01 4.23e-01f 1\n", + " 17r 0.0000000e+00 2.61e-01 2.91e+03 1.5 1.69e+00 - 8.43e-01 7.18e-01f 1\n", + " 18r 0.0000000e+00 2.58e-01 1.88e+03 1.5 3.06e-01 - 8.34e-01 1.00e+00f 1\n", + " 19r 0.0000000e+00 2.72e-01 3.16e+02 0.8 7.49e-01 - 1.00e+00 8.84e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 2.36e-01 8.39e+02 0.1 3.35e+00 - 6.80e-01 3.83e-01f 1\n", + " 21r 0.0000000e+00 9.43e-02 5.90e+02 0.1 1.29e+01 - 7.25e-01 5.50e-01f 1\n", + " 22r 0.0000000e+00 7.77e-02 5.55e+02 0.1 2.20e+00 - 9.71e-01 6.58e-01f 1\n", + " 23r 0.0000000e+00 7.87e-02 8.57e-02 0.1 7.74e-01 - 1.00e+00 1.00e+00f 1\n", + " 24r 0.0000000e+00 7.66e-02 3.19e+02 -2.0 7.45e-01 - 9.14e-01 7.25e-01f 1\n", + " 25r 0.0000000e+00 5.46e-02 2.79e+03 -2.0 6.26e+01 - 9.06e-01 7.59e-02f 1\n", + " 26r 0.0000000e+00 4.22e-02 3.08e+03 -2.0 3.75e+01 - 9.45e-01 9.31e-02f 1\n", + " 27r 0.0000000e+00 2.85e-02 3.06e+03 -2.0 3.25e+01 - 1.00e+00 1.21e-01f 1\n", + " 28r 0.0000000e+00 9.60e-03 2.44e+03 -2.0 2.20e+01 - 1.00e+00 2.26e-01f 1\n", + " 29r 0.0000000e+00 2.33e-03 1.74e+03 -2.0 5.97e+00 - 1.00e+00 3.44e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.27e-04 3.66e+02 -2.0 8.97e-01 - 1.00e+00 8.16e-01f 1\n", + " 31r 0.0000000e+00 1.45e-05 3.66e-04 -2.0 1.62e-01 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 5.23e-06 1.15e+03 -4.4 5.00e-03 - 1.00e+00 6.43e-01f 1\n", + " 33r 0.0000000e+00 2.60e-06 2.14e+03 -4.4 4.17e-03 - 9.20e-01 5.22e-01f 1\n", + " 34r 0.0000000e+00 4.50e-07 1.93e+02 -4.4 4.28e-04 - 9.19e-01 9.15e-01f 1\n", + " 35r 0.0000000e+00 1.77e-09 2.53e-07 -4.4 6.44e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 35\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.7723200684827134e-09 1.7723200684827134e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.7723200684827134e-09 1.7723200684827134e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 41\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 41\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 37\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 35\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.044\n", + "Total CPU secs in NLP function evaluations = 0.004\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", + " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.87e-02h 1\n", + " 3 0.0000000e+00 1.72e+02 2.95e+03 -1.0 1.72e+02 - 2.14e-01 7.65e-04h 1\n", + " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.81e-07R 5\n", + " 5r 0.0000000e+00 1.32e+02 3.74e+04 2.2 1.86e+04 - 1.27e-02 3.07e-03f 1\n", + " 6r 0.0000000e+00 1.28e+02 3.55e+04 2.2 1.35e+04 - 7.41e-03 2.90e-04f 1\n", + " 7r 0.0000000e+00 7.48e+01 3.49e+04 2.2 1.11e+04 - 6.38e-03 5.17e-03f 1\n", + " 8r 0.0000000e+00 5.17e+01 2.96e+04 2.2 7.10e+03 - 2.88e-02 3.35e-03f 1\n", + " 9r 0.0000000e+00 1.33e+01 1.98e+04 2.2 2.14e+03 - 8.03e-02 2.15e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.74e+00 1.47e+04 2.2 1.13e+02 - 1.09e-01 7.02e-02f 1\n", + " 11r 0.0000000e+00 3.49e+00 7.09e+03 2.2 8.38e+01 - 2.10e-01 1.13e-01f 1\n", + " 12r 0.0000000e+00 2.35e+00 1.32e+04 1.5 5.40e+01 - 4.07e-01 1.34e-01f 1\n", + " 13r 0.0000000e+00 1.88e+00 1.19e+04 1.5 9.11e+01 - 1.74e-01 1.28e-01f 1\n", + " 14r 0.0000000e+00 1.85e+00 1.02e+04 1.5 7.31e+01 - 2.80e-01 1.66e-01f 1\n", + " 15r 0.0000000e+00 1.24e+00 6.28e+03 1.5 4.28e+01 - 5.31e-01 2.16e-01f 1\n", + " 16r 0.0000000e+00 6.27e-01 3.07e+03 1.5 1.47e+01 - 8.32e-01 4.22e-01f 1\n", + " 17r 0.0000000e+00 2.61e-01 2.87e+03 1.5 1.70e+00 - 8.32e-01 7.10e-01f 1\n", + " 18r 0.0000000e+00 2.58e-01 1.83e+03 1.5 3.19e-01 - 8.39e-01 1.00e+00f 1\n", + " 19r 0.0000000e+00 2.72e-01 3.13e+02 0.8 7.48e-01 - 1.00e+00 8.83e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 2.36e-01 8.44e+02 0.1 3.35e+00 - 6.80e-01 3.83e-01f 1\n", + " 21r 0.0000000e+00 9.43e-02 5.94e+02 0.1 1.29e+01 - 7.26e-01 5.50e-01f 1\n", + " 22r 0.0000000e+00 7.76e-02 5.56e+02 0.1 2.20e+00 - 9.71e-01 6.58e-01f 1\n", + " 23r 0.0000000e+00 7.87e-02 8.54e-02 0.1 7.73e-01 - 1.00e+00 1.00e+00f 1\n", + " 24r 0.0000000e+00 7.67e-02 3.18e+02 -2.0 7.45e-01 - 9.13e-01 7.25e-01f 1\n", + " 25r 0.0000000e+00 5.46e-02 2.79e+03 -2.0 6.26e+01 - 9.05e-01 7.60e-02f 1\n", + " 26r 0.0000000e+00 4.22e-02 3.09e+03 -2.0 3.75e+01 - 9.44e-01 9.31e-02f 1\n", + " 27r 0.0000000e+00 2.85e-02 3.06e+03 -2.0 3.25e+01 - 1.00e+00 1.21e-01f 1\n", + " 28r 0.0000000e+00 9.60e-03 2.44e+03 -2.0 2.20e+01 - 1.00e+00 2.26e-01f 1\n", + " 29r 0.0000000e+00 2.32e-03 1.74e+03 -2.0 5.96e+00 - 1.00e+00 3.44e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.26e-04 3.66e+02 -2.0 8.97e-01 - 1.00e+00 8.17e-01f 1\n", + " 31r 0.0000000e+00 1.46e-05 3.64e-04 -2.0 1.61e-01 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 5.21e-06 1.15e+03 -4.4 5.00e-03 - 1.00e+00 6.44e-01f 1\n", + " 33r 0.0000000e+00 2.59e-06 2.13e+03 -4.4 4.15e-03 - 9.21e-01 5.22e-01f 1\n", + " 34r 0.0000000e+00 4.57e-07 2.12e+02 -4.4 4.27e-04 - 9.20e-01 9.12e-01f 1\n", + " 35r 0.0000000e+00 1.77e-09 2.81e-07 -4.4 6.49e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 35\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.7724186562873001e-09 1.7724186562873001e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.7724186562873001e-09 1.7724186562873001e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 41\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 41\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 37\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 35\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", + " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.92e-02h 1\n", + " 3 0.0000000e+00 1.72e+02 2.92e+03 -1.0 1.72e+02 - 2.15e-01 7.76e-04h 1\n", + " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.88e-07R 5\n", + " 5r 0.0000000e+00 1.32e+02 3.71e+04 2.2 1.86e+04 - 1.26e-02 3.07e-03f 1\n", + " 6r 0.0000000e+00 1.29e+02 3.51e+04 2.2 1.35e+04 - 7.34e-03 2.31e-04f 1\n", + " 7r 0.0000000e+00 7.53e+01 3.46e+04 2.2 1.11e+04 - 6.26e-03 5.17e-03f 1\n", + " 8r 0.0000000e+00 5.27e+01 2.93e+04 2.2 7.19e+03 - 2.78e-02 3.23e-03f 1\n", + " 9r 0.0000000e+00 1.33e+01 1.97e+04 2.2 2.24e+03 - 7.81e-02 2.14e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.74e+00 1.48e+04 2.2 1.14e+02 - 1.06e-01 6.89e-02f 1\n", + " 11r 0.0000000e+00 3.77e+00 7.16e+03 2.2 8.49e+01 - 2.07e-01 9.65e-02f 1\n", + " 12r 0.0000000e+00 2.83e+00 1.43e+04 1.5 5.67e+01 - 3.88e-01 1.01e-01f 1\n", + " 13r 0.0000000e+00 2.28e+00 1.37e+04 1.5 9.72e+01 - 2.28e-01 1.21e-01f 1\n", + " 14r 0.0000000e+00 1.99e+00 1.20e+04 1.5 7.98e+01 - 3.09e-01 1.58e-01f 1\n", + " 15r 0.0000000e+00 1.31e+00 7.77e+03 1.5 4.73e+01 - 5.28e-01 2.40e-01f 1\n", + " 16r 0.0000000e+00 7.14e-01 2.95e+03 1.5 1.58e+01 - 8.38e-01 4.12e-01f 1\n", + " 17r 0.0000000e+00 2.58e-01 2.58e+03 1.5 1.88e+00 - 8.20e-01 7.02e-01f 1\n", + " 18r 0.0000000e+00 2.68e-01 9.79e+02 0.8 1.11e+00 - 1.00e+00 7.06e-01f 1\n", + " 19r 0.0000000e+00 2.15e-01 1.37e+03 0.8 3.80e+00 - 8.04e-01 4.82e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 1.41e-01 1.85e+00 0.8 2.53e+00 - 1.00e+00 1.00e+00f 1\n", + " 21r 0.0000000e+00 1.48e-01 3.11e+02 -1.3 7.37e-01 - 9.24e-01 7.21e-01f 1\n", + " 22r 0.0000000e+00 9.59e-02 4.22e+02 -1.3 7.88e+01 - 1.00e-01 4.97e-02f 1\n", + " 23r 0.0000000e+00 9.59e-02 1.67e+03 -1.3 3.40e+01 - 4.33e-01 2.17e-03f 1\n", + " 24r 0.0000000e+00 5.83e-02 2.69e+03 -1.3 2.66e+01 - 9.43e-01 2.14e-01f 1\n", + " 25r 0.0000000e+00 4.58e-02 2.52e+03 -1.3 1.43e+01 - 1.00e+00 2.06e-01f 1\n", + " 26r 0.0000000e+00 2.87e-02 1.49e+03 -1.3 1.10e+01 - 1.00e+00 4.53e-01f 1\n", + " 27r 0.0000000e+00 1.85e-02 9.90e+02 -1.3 5.65e+00 - 1.00e+00 4.97e-01f 1\n", + " 28r 0.0000000e+00 9.17e-03 1.46e+02 -1.3 2.75e+00 - 1.00e+00 9.16e-01f 1\n", + " 29r 0.0000000e+00 8.40e-03 5.89e-04 -1.3 4.88e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 8.09e-03 4.25e+02 -2.9 4.17e-01 - 1.00e+00 7.57e-01f 1\n", + " 31r 0.0000000e+00 7.29e-04 3.39e+03 -2.9 9.81e+01 - 9.94e-01 1.99e-02f 1\n", + " 32r 0.0000000e+00 7.03e-04 3.95e+03 -2.9 2.03e-01 - 1.00e+00 3.27e-02f 1\n", + " 33r 0.0000000e+00 3.13e-05 1.86e+02 -2.9 1.85e-01 - 1.00e+00 9.56e-01f 1\n", + " 34r 0.0000000e+00 3.83e-07 2.06e-05 -2.9 8.16e-03 - 1.00e+00 1.00e+00f 1\n", + " 35r 0.0000000e+00 1.77e-07 9.95e+01 -6.6 1.43e-04 - 1.00e+00 9.30e-01f 1\n", + " 36r 0.0000000e+00 2.82e-08 2.45e+01 -6.6 2.03e-05 - 9.85e-01 8.43e-01f 1\n", + " 37r 0.0000000e+00 4.45e-11 1.96e-09 -6.6 7.03e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 37\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 4.4515502395370277e-11 4.4515502395370277e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 4.4515502395370277e-11 4.4515502395370277e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 43\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 43\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 39\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 37\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.049\n", + "Total CPU secs in NLP function evaluations = 0.005\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", + " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.87e-02h 1\n", + " 3 0.0000000e+00 1.72e+02 2.96e+03 -1.0 1.72e+02 - 2.15e-01 7.65e-04h 1\n", + " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.81e-07R 5\n", + " 5r 0.0000000e+00 1.32e+02 3.75e+04 2.2 1.86e+04 - 1.27e-02 3.07e-03f 1\n", + " 6r 0.0000000e+00 1.29e+02 3.56e+04 2.2 1.35e+04 - 7.38e-03 2.63e-04f 1\n", + " 7r 0.0000000e+00 7.51e+01 3.50e+04 2.2 1.11e+04 - 6.37e-03 5.17e-03f 1\n", + " 8r 0.0000000e+00 5.20e+01 2.97e+04 2.2 7.13e+03 - 2.85e-02 3.32e-03f 1\n", + " 9r 0.0000000e+00 1.33e+01 1.97e+04 2.2 2.17e+03 - 8.13e-02 2.14e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.77e+00 1.50e+04 2.2 1.13e+02 - 1.05e-01 7.01e-02f 1\n", + " 11r 0.0000000e+00 3.67e+00 7.04e+03 2.2 8.41e+01 - 2.09e-01 1.03e-01f 1\n", + " 12r 0.0000000e+00 2.71e+00 1.41e+04 1.5 5.54e+01 - 3.96e-01 1.07e-01f 1\n", + " 13r 0.0000000e+00 2.17e+00 1.34e+04 1.5 9.54e+01 - 2.38e-01 1.24e-01f 1\n", + " 14r 0.0000000e+00 1.97e+00 1.14e+04 1.5 7.75e+01 - 3.13e-01 1.72e-01f 1\n", + " 15r 0.0000000e+00 1.26e+00 6.84e+03 1.5 4.37e+01 - 5.77e-01 2.33e-01f 1\n", + " 16r 0.0000000e+00 6.58e-01 2.95e+03 1.5 1.38e+01 - 8.57e-01 4.39e-01f 1\n", + " 17r 0.0000000e+00 2.59e-01 3.12e+03 1.5 1.70e+00 - 8.29e-01 6.96e-01f 1\n", + " 18r 0.0000000e+00 2.56e-01 1.61e+03 1.5 3.65e-01 - 8.55e-01 1.00e+00f 1\n", + " 19r 0.0000000e+00 2.70e-01 2.89e+02 0.8 7.49e-01 - 1.00e+00 8.82e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 2.34e-01 8.40e+02 0.1 3.36e+00 - 6.78e-01 3.83e-01f 1\n", + " 21r 0.0000000e+00 9.46e-02 6.08e+02 0.1 1.29e+01 - 7.27e-01 5.44e-01f 1\n", + " 22r 0.0000000e+00 7.76e-02 5.24e+02 0.1 2.24e+00 - 9.47e-01 6.57e-01f 1\n", + " 23r 0.0000000e+00 7.92e-02 8.80e-02 0.1 7.84e-01 - 1.00e+00 1.00e+00f 1\n", + " 24r 0.0000000e+00 7.69e-02 2.99e+02 -2.0 7.51e-01 - 9.00e-01 7.23e-01f 1\n", + " 25r 0.0000000e+00 5.50e-02 2.78e+03 -2.0 6.21e+01 - 9.06e-01 7.61e-02f 1\n", + " 26r 0.0000000e+00 4.21e-02 3.07e+03 -2.0 3.77e+01 - 9.33e-01 9.70e-02f 1\n", + " 27r 0.0000000e+00 2.91e-02 3.06e+03 -2.0 3.23e+01 - 1.00e+00 1.16e-01f 1\n", + " 28r 0.0000000e+00 9.71e-03 2.42e+03 -2.0 2.13e+01 - 1.00e+00 2.34e-01f 1\n", + " 29r 0.0000000e+00 2.20e-03 1.62e+03 -2.0 5.81e+00 - 1.00e+00 3.83e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.35e-04 2.91e+02 -2.0 8.91e-01 - 1.00e+00 8.48e-01f 1\n", + " 31r 0.0000000e+00 1.46e-05 2.64e-04 -2.0 1.33e-01 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 4.98e-06 1.01e+03 -4.4 4.96e-03 - 1.00e+00 6.62e-01f 1\n", + " 33r 0.0000000e+00 2.44e-06 2.22e+03 -4.4 3.91e-03 - 9.25e-01 5.20e-01f 1\n", + " 34r 0.0000000e+00 4.07e-07 1.47e+02 -4.4 4.01e-04 - 9.19e-01 9.25e-01f 1\n", + " 35r 0.0000000e+00 1.89e-09 1.73e-07 -4.4 5.56e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 35\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.8920998101634723e-09 1.8920998101634723e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.8920998101634723e-09 1.8920998101634723e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 41\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 41\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 37\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 35\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Existed information has been added.\n", + "FIM: [[ 71.92588336 19.805131 -188.4909917 -77.87094771]\n", + " [ 19.805131 70.81391302 -40.24881712 -338.30206668]\n", + " [-188.4909917 -40.24881712 523.93642915 168.75748456]\n", + " [ -77.87094771 -338.30206668 168.75748456 1733.5847453 ]]\n", + "Trace: 2400.26097082489\n", + "Determinant: 12732530.31692039\n", + "Condition number: 870.9891077602566\n", + "Minimal eigen value: 2.1001471502491094\n", + "Eigen values: [1829.20529256 563.06925363 2.10014715 5.88627748]\n", + "Eigen vectors: [[ 0.06013259 -0.3324732 -0.75242864 0.56541736]\n", + " [ 0.19046431 0.01496935 0.59516553 0.78056214]\n", + " [-0.13994237 0.93066786 -0.26075907 0.21512361]\n", + " [-0.96980593 -0.1519698 0.1078603 0.15731429]]\n" + ] + } + ], + "source": [ + "\n", + "exp_all = [exp1, exp2, exp3, exp4, exp5]\n", + "\n", + "\n", + "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", + " ['CA','CB','CC'], t_measure, createmod,\n", + " prior_FIM=prior_pass, discretize_model=disc)\n", + "\n", + "# choose from 'simultaneous', 'sequential', 'sipopt'\n", + "#sensi_opt = 'simultaneous_finite'\n", + "sensi_opt = 'sequential_finite'\n", + "#sensi_opt = 'sequential_sipopt'\n", + "if_s = True\n", + "result = doe_object.sequential_exp(exp_all, mode=sensi_opt, tee_option=True,\n", + " scale_nominal_param_value=if_s, formula='central')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "4939f5c1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=======Result summary=======\n", + "The 1 th experiment has optimality log10() values:\n", + "A-optimality: 3.29689373129363\n", + "D-optimality: 5.749123827110235\n", + "E-optimality: -0.29964150858495253\n", + "Modified E-optimality: 3.4698543224317957\n", + "The 2 th experiment has optimality log10() values:\n", + "A-optimality: 3.327246742969606\n", + "D-optimality: 6.350625457960553\n", + "E-optimality: -0.013857523926267818\n", + "Modified E-optimality: 3.2179519402375574\n", + "The 3 th experiment has optimality log10() values:\n", + "A-optimality: 3.348792387089486\n", + "D-optimality: 6.690041312590909\n", + "E-optimality: 0.1406932135450932\n", + "Modified E-optimality: 3.087166444109095\n", + "The 4 th experiment has optimality log10() values:\n", + "A-optimality: 3.3659365095541167\n", + "D-optimality: 6.925560558536682\n", + "E-optimality: 0.24481023207384423\n", + "Modified E-optimality: 3.001834323221942\n", + "The 5 th experiment has optimality log10() values:\n", + "A-optimality: 3.3802584633897554\n", + "D-optimality: 7.104914718930726\n", + "E-optimality: 0.3222497253540566\n", + "Modified E-optimality: 2.9400127239293687\n" + ] + } + ], + "source": [ + "print('=======Result summary=======')\n", + "for i in range(len(exp_all)):\n", + " print('The ', i+1,'th experiment has optimality log10() values:')\n", + " print('A-optimality:', np.log10(result[0][i].trace))\n", + " print('D-optimality:', np.log10(result[0][i].det))\n", + " print('E-optimality:', np.log10(result[0][i].min_eig))\n", + " print('Modified E-optimality:', np.log10(result[0][i].cond))" + ] + }, + { + "cell_type": "markdown", + "id": "b0757b02", + "metadata": {}, + "source": [ + "### Run 1D analysis\n", + "\n", + "Run 1D sensitivity analysis with one changing design variable\n", + "\n", + "Note: this method can only deal with constant T problems" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "270e807a", + "metadata": {}, + "outputs": [], + "source": [ + "# Define experiments\n", + "if (model_opt=='dynamic-DAE'):\n", + " exp1 = generate_exp(t_control, 5, [570.21, 300, 300, 300, 300, 300, 300, 300, 300])\n", + "else: \n", + " exp1 = generate_exp(t_control, 5, [500])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "5fb1c31e", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Sensitivity analysis is for ['T'] at the range [[688, 690]]\n", + "At the points: [688. 688.4 688.8 689.2 689.6]\n", + "This is the 0 -th iteration\n", + "Design variables for this run: {'CA0': {0: 5}, 'T': {0: 688.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.70606767644534\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.34601640562437\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.769254995998401\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.032088002363322\n", + "Existed information has been added.\n", + "FIM: [[ 31.21368895 7.04904619 -85.18284907 -28.32864438]\n", + " [ 7.04904619 28.46627663 -14.64311461 -144.65058132]\n", + " [ -85.18284907 -14.64311461 245.14786717 64.61686281]\n", + " [ -28.32864438 -144.65058132 64.61686281 781.48834276]]\n", + "Trace: 1086.31617550362\n", + "Determinant: 344150.18385004054\n", + "Condition number: 1194.5425566602246\n", + "Minimal eigen value: 0.6847260300682263\n", + "Eigen values: [8.17934383e+02 2.65381582e+02 6.84726030e-01 2.31548475e+00]\n", + "Eigen vectors: [[ 0.04992629 -0.32442702 -0.71053392 0.62241145]\n", + " [ 0.18127243 0.01274612 0.65185494 0.73624926]\n", + " [-0.12200034 0.93663849 -0.23887016 0.22531158]\n", + " [-0.97455815 -0.1315028 0.11475072 0.14062609]]\n", + "This is the 1 -th iteration\n", + "Design variables for this run: {'CA0': {0: 5}, 'T': {0: 688.4}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.70606767644534\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.34601640562437\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.769254995998401\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.032088002363322\n", + "Existed information has been added.\n", + "FIM: [[ 31.2087357 7.04512838 -85.17411652 -28.31584345]\n", + " [ 7.04512838 28.45878231 -14.63649852 -144.62773545]\n", + " [ -85.17411652 -14.63649852 245.13327957 64.59606895]\n", + " [ -28.31584345 -144.62773545 64.59606895 781.42001285]]\n", + "Trace: 1086.2208104402205\n", + "Determinant: 343688.1456424509\n", + "Condition number: 1195.148087968523\n", + "Minimal eigen value: 0.6843120834343386\n", + "Eigen values: [8.17854278e+02 2.65368101e+02 6.84312083e-01 2.31411905e+00]\n", + "Eigen vectors: [[ 0.04991022 -0.32441777 -0.71040868 0.62256051]\n", + " [ 0.18126017 0.01274626 0.65200538 0.73611906]\n", + " [-0.12197407 0.93664602 -0.23882033 0.22534731]\n", + " [-0.97456454 -0.13147195 0.1147752 0.14059066]]\n", + "This is the 2 -th iteration\n", + "Design variables for this run: {'CA0': {0: 5}, 'T': {0: 688.8}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.70606767644534\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.34601640562437\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.769254995998401\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.032088002363322\n", + "Existed information has been added.\n", + "FIM: [[ 31.20378811 7.04121278 -85.16540174 -28.30306309]\n", + " [ 7.04121278 28.45130667 -14.62989306 -144.60496513]\n", + " [ -85.16540174 -14.62989306 245.118733 64.57532708]\n", + " [ -28.30306309 -144.60496513 64.57532708 781.35196066]]\n", + "Trace: 1086.1257884290285\n", + "Determinant: 343226.77057624975\n", + "Condition number: 1195.7529423283\n", + "Minimal eigen value: 0.6838992009254474\n", + "Eigen values: [8.17774482e+02 2.65354657e+02 6.83899201e-01 2.31275053e+00]\n", + "Eigen vectors: [[ 0.04989416 -0.32440853 -0.71028366 0.62270924]\n", + " [ 0.18124793 0.01274642 0.65215547 0.7359891 ]\n", + " [-0.12194784 0.93665355 -0.2387706 0.22538292]\n", + " [-0.97457092 -0.13144113 0.11479963 0.14055529]]\n", + "This is the 3 -th iteration\n", + "Design variables for this run: {'CA0': {0: 5}, 'T': {0: 689.1999999999999}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.70606767644534\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.34601640562437\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.769254995998401\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.032088002363322\n", + "Existed information has been added.\n", + "FIM: [[ 31.19884612 7.03729937 -85.15670469 -28.29030334]\n", + " [ 7.03729937 28.44384968 -14.62329825 -144.58227022]\n", + " [ -85.15670469 -14.62329825 245.10422737 64.55463727]\n", + " [ -28.29030334 -144.58227022 64.55463727 781.28418547]]\n", + "Trace: 1086.0311086350534\n", + "Determinant: 342766.0553001355\n", + "Condition number: 1196.357114309498\n", + "Minimal eigen value: 0.683487382734939\n", + "Eigen values: [8.17694993e+02 2.65341249e+02 6.83487383e-01 2.31137918e+00]\n", + "Eigen vectors: [[ 0.04987811 -0.32439929 -0.71015889 0.62285762]\n", + " [ 0.18123572 0.0127466 0.65230521 0.7358594 ]\n", + " [-0.12192164 0.93666106 -0.23872099 0.22541841]\n", + " [-0.97457729 -0.13141034 0.11482401 0.14051999]]\n", + "This is the 4 -th iteration\n", + "Design variables for this run: {'CA0': {0: 5}, 'T': {0: 689.5999999999999}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.70606767644534\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.34601640562437\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.769254995998401\n", + "E2_pert : 15.047135137500822\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.032088002363322\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 31.19390974 7.03338821 -85.14802534 -28.27756427]\n", + " [ 7.03338821 28.43641135 -14.61671413 -144.5596506 ]\n", + " [ -85.14802534 -14.61671413 245.08976257 64.5339995 ]\n", + " [ -28.27756427 -144.5596506 64.5339995 781.21668649]]\n", + "Trace: 1085.9367701574088\n", + "Determinant: 342306.00259180367\n", + "Condition number: 1196.9605977351102\n", + "Minimal eigen value: 0.683076629406871\n", + "Eigen values: [8.17615811e+02 2.65327878e+02 6.83076629e-01 2.31000502e+00]\n", + "Eigen vectors: [[ 0.04986207 -0.32439006 -0.71003437 0.62300567]\n", + " [ 0.18122354 0.0127468 0.65245458 0.73572995]\n", + " [-0.12189547 0.93666857 -0.23867148 0.22545378]\n", + " [-0.97458365 -0.13137958 0.11484834 0.14048475]]\n", + "The result list: [1194.5425566602246, 1195.148087968523, 1195.7529423283, 1196.357114309498, 1196.9605977351102]\n" + ] + } + ], + "source": [ + "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", + " ['CA','CB','CC'], t_measure, createmod,\n", + " prior_FIM=prior_pass, discretize_model=disc)\n", + "\n", + "# choose from 'simultaneous', 'sequential', 'sipopt'\n", + "#sensi_opt = 'simultaneous_finite'\n", + "#sensi_opt = 'sequential_finite'\n", + "sensi_opt = 'sequential_sipopt'\n", + "if_s = True\n", + "result = doe_object.sensitivity_analysis_1D(exp1, {'T':[688,690]}, sensitivity_step=0.4, compare_opt='ME',\n", + " mode=sensi_opt, tee_option=False,\n", + " scale_nominal_param_value=if_s, formula='central')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "574f1669", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=======Result summary=======\n", + "The biggest criterion value is: 1196.9605977351102 at: 689.5999999999999\n", + "The smallest criterion value is: 1194.5425566602246 at: 688.0\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Design criteria')" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "vary_range = list(result.keys())\n", + "result_list = list(result.values())\n", + "\n", + "index_max = result_list.index(max(result_list))\n", + "index_min = result_list.index(min(result_list))\n", + "\n", + "print('=======Result summary=======')\n", + "print('The biggest criterion value is:', max(result_list), ' at:', vary_range[index_max])\n", + "print('The smallest criterion value is:', min(result_list), ' at:', vary_range[index_min])\n", + "\n", + "plt.plot(vary_range, result_list)\n", + "plt.xlabel('T [K]')\n", + "plt.ylabel('Design criteria')" + ] + }, + { + "cell_type": "markdown", + "id": "hindu-bathroom", + "metadata": {}, + "source": [ + "## Optimization" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "wicked-raising", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 24280\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 1930\n", + "\n", + "Total number of variables............................: 6414\n", + " variables with only lower bounds: 2316\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 6414\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 7.66e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (288851)\n", + " 1 -2.0807787e+01 7.86e+03 2.05e+04 -1.0 7.66e+02 - 2.58e-03 2.15e-01f 1\n", + " 2 -2.0832828e+01 7.55e+03 1.97e+04 -1.0 6.09e+02 - 1.05e-01 3.99e-02h 1\n", + " 3 -2.0832859e+01 7.54e+03 1.97e+04 -1.0 4.44e+02 - 1.61e-01 6.81e-04h 1\n", + " 4r-2.0832859e+01 7.54e+03 1.00e+03 3.9 0.00e+00 - 0.00e+00 4.29e-07R 5\n", + " 5r-1.9171589e+01 2.08e+03 1.68e+04 3.9 5.82e+06 - 3.62e-05 1.28e-03f 1\n", + " 6r-1.8985036e+01 2.00e+03 1.68e+04 1.8 8.89e+04 - 1.24e-01 1.04e-03f 1\n", + " 7r-1.8912085e+01 1.99e+03 1.99e+04 1.8 6.20e+03 - 4.65e-02 7.41e-03f 1\n", + " 8r-1.8730096e+01 1.94e+03 2.98e+04 1.8 4.29e+03 - 1.63e-01 2.90e-02f 1\n", + " 9r-1.8461505e+01 1.82e+03 2.91e+04 1.8 1.87e+03 - 3.79e-01 6.44e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r-1.7602647e+01 1.22e+03 1.81e+04 1.8 7.67e+02 - 7.46e-01 3.46e-01f 1\n", + " 11r-1.6984383e+01 3.78e+02 1.51e+04 1.8 2.22e+02 - 1.00e+00 7.87e-01f 1\n", + " 12r-1.6599780e+01 4.38e+03 5.16e+06 1.8 5.42e+00 4.0 5.58e-01 7.77e-01f 1\n", + " 13r-1.6562450e+01 5.90e+03 3.32e+06 1.8 3.47e+00 3.5 6.20e-01 2.29e-01f 1\n", + " 14r-1.6439194e+01 2.12e+03 1.48e+06 1.8 2.47e+00 3.0 7.34e-01 8.33e-01f 1\n", + " 15r-1.6431083e+01 1.40e+03 9.61e+05 1.8 1.24e+01 2.6 7.41e-01 3.73e-01f 1\n", + " 16r-1.6475243e+01 1.02e+03 6.62e+05 1.8 4.38e+01 2.1 4.82e-01 2.94e-01f 1\n", + " 17r-1.6518732e+01 8.18e+02 5.11e+05 1.8 4.09e+01 1.6 1.00e+00 2.16e-01f 1\n", + " 18r-1.6560446e+01 7.16e+02 4.45e+05 1.8 5.87e+01 1.1 1.00e+00 1.30e-01f 1\n", + " 19r-1.6804245e+01 6.01e+02 3.73e+05 1.8 1.23e+02 0.7 1.00e+00 1.67e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r-1.6880787e+01 5.93e+02 3.68e+05 1.8 6.51e+02 - 7.07e-01 1.45e-02f 1\n", + " 21r-1.9206906e+01 3.11e+02 8.84e+04 1.8 4.76e+01 - 1.00e+00 1.00e+00f 1\n", + " 22r-1.9082387e+01 2.39e+02 2.46e+05 1.8 1.97e+00 4.7 2.40e-01 2.51e-01h 1\n", + " 23r-1.9083876e+01 2.32e+02 2.39e+05 1.8 4.21e+01 - 1.00e+00 2.67e-02h 1\n", + " 24r-1.9098979e+01 7.06e+01 2.67e+04 1.8 4.06e+01 - 1.00e+00 1.00e+00h 1\n", + " 25r-1.9076580e+01 1.67e+01 5.46e+03 1.8 1.26e-01 4.2 1.00e+00 1.00e+00f 1\n", + " 26r-1.9072324e+01 1.30e+01 1.13e+04 1.1 7.17e-02 3.7 1.00e+00 1.00e+00f 1\n", + " 27r-1.9071712e+01 3.09e+01 7.58e+03 1.1 1.41e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 28r-1.9073184e+01 1.91e+01 2.06e+05 1.1 6.65e-02 3.7 1.00e+00 1.00e+00f 1\n", + " 29r-1.9075130e+01 8.23e+00 4.44e+04 1.1 1.30e-01 3.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r-1.9081630e+01 2.26e+01 3.22e+04 1.1 2.66e-01 2.7 9.46e-01 1.00e+00f 1\n", + " 31r-1.9082491e+01 1.30e+01 8.08e+04 1.1 4.24e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 32r-1.9085987e+01 2.25e+01 1.50e+05 1.1 9.50e-02 3.6 5.97e-01 1.00e+00f 1\n", + " 33r-1.9090465e+01 3.94e+01 4.76e+04 1.1 1.57e-01 3.1 1.00e+00 7.08e-01f 1\n", + " 34r-1.9092667e+01 3.52e+01 2.42e+04 1.1 8.81e-02 3.5 1.00e+00 6.05e-01f 1\n", + " 35r-1.9097463e+01 9.74e+00 3.30e+05 1.1 1.14e-01 4.0 1.00e+00 1.00e+00f 1\n", + " 36r-1.9100810e+01 1.43e+01 1.54e+05 1.1 1.42e-01 3.5 7.37e-01 5.55e-01f 1\n", + " 37r-1.9111450e+01 2.14e+01 1.37e+05 1.1 2.50e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 38r-1.9111499e+01 3.49e+00 2.38e+04 1.1 1.47e-02 5.2 1.00e+00 1.00e+00f 1\n", + " 39r-1.8788474e+01 4.55e+00 1.90e+04 1.1 7.06e+01 - 8.66e-01 1.80e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r-1.8443490e+01 5.41e+00 1.44e+04 1.1 5.64e+01 - 1.00e+00 2.19e-01f 1\n", + " 41r-1.7905917e+01 7.16e+00 9.08e+03 1.1 4.22e+01 - 8.05e-01 3.39e-01f 1\n", + " 42r-1.7190141e+01 8.38e+00 3.91e+03 1.1 2.43e+01 - 4.29e-01 5.29e-01f 1\n", + " 43r-1.6243495e+01 1.40e+01 2.40e+03 1.1 5.55e+00 - 1.00e+00 1.00e+00f 1\n", + " 44r-1.6228343e+01 1.31e+01 3.99e+03 1.1 9.73e-01 4.8 6.31e-02 6.31e-02h 1\n", + " 45r-1.6225326e+01 1.29e+01 5.59e+03 1.1 9.20e-01 4.3 1.01e-01 1.55e-02h 4\n", + " 46r-1.6055181e+01 6.20e+00 4.01e+05 1.1 8.69e-01 3.8 2.27e-01 7.88e-01h 1\n", + " 47r-1.5999715e+01 2.96e+00 1.65e+05 1.1 6.81e-01 3.3 1.00e+00 7.42e-01f 1\n", + " 48r-1.5994036e+01 2.44e+00 1.36e+05 1.1 8.15e-01 2.9 1.00e+00 1.83e-01f 1\n", + " 49r-1.6000262e+01 1.93e+00 1.06e+05 1.1 1.02e+00 2.4 1.00e+00 2.30e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r-1.6022723e+01 8.28e-01 1.94e+04 1.1 3.51e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 51r-1.6028684e+01 4.20e-01 1.27e+03 1.1 4.67e-02 3.2 1.00e+00 1.00e+00f 1\n", + " 52r-1.6029416e+01 4.20e-01 5.09e+02 1.1 2.05e-02 2.8 1.00e+00 1.00e+00h 1\n", + " 53r-1.6029180e+01 1.49e+00 5.81e+02 0.4 1.79e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 54r-1.6029181e+01 4.20e-01 2.04e+03 0.4 1.61e-03 6.3 1.00e+00 1.00e+00f 1\n", + " 55r-1.6029185e+01 4.20e-01 5.22e+02 0.4 5.75e-04 5.8 1.00e+00 1.00e+00f 1\n", + " 56r-1.6029244e+01 4.20e-01 1.01e+03 0.4 1.90e-03 5.4 1.00e+00 1.00e+00f 1\n", + " 57r-1.6029336e+01 4.20e-01 3.79e+02 0.4 4.93e-03 4.9 1.00e+00 1.00e+00f 1\n", + " 58r-1.6029396e+01 4.20e-01 2.30e+02 0.4 8.99e-03 4.4 1.00e+00 1.00e+00f 1\n", + " 59r-1.6029538e+01 4.20e-01 1.22e+02 0.4 1.43e-02 3.9 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r-1.6029818e+01 4.20e-01 7.44e+02 -0.3 3.49e-02 3.5 1.00e+00 5.90e-01f 1\n", + " 61r-1.6030376e+01 4.19e-01 5.59e+02 -0.3 1.01e-01 3.0 7.40e-01 4.81e-01f 1\n", + " 62r-1.6030751e+01 4.18e-01 8.86e+02 -0.3 2.37e-01 2.5 4.08e-01 1.65e-01f 1\n", + " 63r-1.6031197e+01 4.18e-01 6.06e+02 -0.3 9.20e-02 2.9 2.86e-01 3.54e-01f 1\n", + " 64r-1.6031896e+01 4.16e-01 3.95e+02 -0.3 2.55e-01 2.4 1.66e-01 2.68e-01f 1\n", + " 65r-1.6033189e+01 1.16e+01 9.51e+02 -0.3 7.49e+00 2.0 2.17e-02 1.65e-02f 1\n", + " 66r-1.6033518e+01 1.04e+01 8.54e+02 -0.3 2.74e-01 2.4 2.37e-01 1.06e-01f 1\n", + " 67r-1.6034046e+01 9.43e+00 9.74e+02 -0.3 6.34e-01 1.9 2.96e-01 1.05e-01f 1\n", + " 68r-1.6034537e+01 7.91e+00 8.27e+02 -0.3 2.60e-01 2.3 1.30e-01 1.67e-01f 1\n", + " 69r-1.6035062e+01 7.24e+00 7.38e+02 -0.3 6.26e-01 1.9 1.39e-01 8.59e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r-1.6035986e+01 5.29e+00 4.93e+02 -0.3 2.62e-01 2.3 1.66e-01 2.84e-01f 1\n", + " 71r-1.6037071e+01 4.45e+00 5.86e+02 -0.3 6.66e-01 1.8 1.12e-01 1.74e-01f 1\n", + " 72r-1.6037740e+01 3.70e+00 5.14e+02 -0.3 2.39e-01 2.2 3.64e-01 1.82e-01f 1\n", + " 73r-1.6038417e+01 3.24e+00 5.08e+02 -0.3 6.36e-01 1.8 2.21e-01 1.41e-01f 1\n", + " 74r-1.6039732e+01 1.93e+00 5.66e+02 -0.3 2.28e-01 2.2 3.14e-01 5.19e-01f 1\n", + " 75r-1.6040371e+01 1.10e+00 2.98e+02 -0.3 7.23e-02 2.6 4.75e-01 4.67e-01f 1\n", + " 76r-1.6041159e+01 8.95e-01 3.84e+02 -0.3 1.91e-01 2.1 4.50e-01 2.18e-01f 1\n", + " 77r-1.6042252e+01 9.41e+00 1.26e+03 -0.3 1.09e+00 1.7 1.60e-01 2.64e-01f 1\n", + " 78r-1.6042591e+01 5.00e+00 7.49e+02 -0.3 1.32e-01 3.0 4.92e-01 5.15e-01f 1\n", + " 79r-1.6044247e+01 7.08e-01 3.23e+02 -0.3 8.39e-02 2.5 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r-1.6028124e+01 1.91e+00 3.11e+02 -0.3 2.42e+01 - 5.61e-02 3.12e-02f 1\n", + " 81r-1.6029269e+01 1.57e+00 6.02e+02 -0.3 2.31e-01 2.0 4.84e-01 2.21e-01f 1\n", + " 82r-1.6003848e+01 1.52e+00 6.66e+02 -0.3 2.29e+01 - 1.12e-01 4.43e-02f 1\n", + " 83r-1.5934517e+01 1.52e+00 4.26e+02 -0.3 2.20e+01 - 1.25e-01 2.07e-01f 1\n", + " 84r-1.5975312e+01 1.33e+00 7.14e+02 -0.3 1.73e+01 - 5.39e-01 1.38e-01f 1\n", + " 85r-1.5981693e+01 1.28e+00 6.94e+02 -0.3 8.26e+00 - 1.50e-01 3.74e-02f 1\n", + " 86r-1.6056433e+01 9.46e-01 4.81e+02 -0.3 8.71e+00 - 5.05e-02 3.23e-01f 1\n", + " 87r-1.6113539e+01 8.35e-01 4.90e+02 -0.3 6.09e+00 - 1.00e+00 1.21e-01f 1\n", + " 88r-1.6169810e+01 6.87e-01 3.84e+02 -0.3 4.14e+00 - 8.28e-01 1.89e-01f 1\n", + " 89r-1.6434411e+01 4.00e-01 1.28e+02 -0.3 2.72e+00 - 1.00e+00 9.87e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r-1.6446844e+01 2.33e-01 1.46e+01 -0.3 5.41e-01 - 1.00e+00 1.00e+00f 1\n", + " 91r-1.6384990e+01 1.37e-01 1.52e+02 -1.0 4.07e-01 - 1.00e+00 9.02e-01f 1\n", + " 92r-1.6333732e+01 1.21e-01 1.78e+03 -1.0 1.40e+01 - 1.00e+00 2.76e-01f 1\n", + " 93r-1.6281625e+01 1.49e-01 1.04e+03 -1.0 9.71e+00 - 1.00e+00 2.85e-01f 1\n", + " 94r-1.6218076e+01 1.48e-01 9.67e+02 -1.0 4.35e+00 - 9.34e-01 8.16e-02f 1\n", + " 95r-1.5736102e+01 1.94e+00 3.77e+02 -1.0 3.96e+00 - 1.00e+00 6.10e-01f 1\n", + " 96r-1.5329553e+01 2.24e+00 4.84e+02 -1.0 4.44e+00 - 1.00e+00 2.81e-01f 1\n", + " 97r-1.5678178e+01 1.32e+00 1.51e+01 -1.0 1.68e+00 - 1.00e+00 1.00e+00f 1\n", + " 98r-1.5539999e+01 1.46e-01 3.86e-01 -1.0 4.34e-01 - 1.00e+00 1.00e+00h 1\n", + " 99r-1.5610238e+01 9.32e-02 3.37e+02 -2.6 5.17e-01 - 9.19e-01 7.49e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r-1.5536148e+01 1.23e-01 1.82e+03 -2.6 7.52e+01 - 5.62e-01 5.33e-02f 1\n", + " 101r-1.5536111e+01 1.02e-01 3.05e+03 -2.6 8.99e-02 1.6 1.00e+00 1.71e-01f 1\n", + " 102r-1.5525136e+01 1.03e-01 3.53e+03 -2.6 7.11e+01 - 1.00e+00 9.10e-03f 1\n", + " 103r-1.5438524e+01 2.56e-01 3.31e+03 -2.6 6.49e+01 - 1.00e+00 7.75e-02f 1\n", + " 104r-1.5378492e+01 3.16e-01 3.29e+03 -2.6 5.57e+01 - 1.00e+00 4.94e-02f 1\n", + " 105r-1.5181639e+01 9.83e-01 2.89e+03 -2.6 5.23e+01 - 1.00e+00 1.49e-01f 1\n", + " 106r-1.5044974e+01 1.20e+00 2.68e+03 -2.6 3.63e+01 - 1.00e+00 8.68e-02f 1\n", + " 107r-1.4652582e+01 3.14e+00 2.11e+03 -2.6 6.21e+00 - 1.00e+00 2.18e-01f 1\n", + " 108r-1.0967738e+01 6.56e+01 6.28e+02 -2.6 7.57e+00 - 1.00e+00 1.00e+00f 1\n", + " 109r-1.1009624e+01 6.44e+01 7.04e+02 -2.6 2.71e+00 1.1 2.95e-02 1.87e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r-1.1663246e+01 4.22e+01 7.75e+03 -2.6 2.53e+00 0.6 3.90e-03 3.62e-01h 1\n", + " 111r-1.3251588e+01 1.42e+01 1.89e+03 -2.6 3.57e+00 0.1 1.00e+00 1.00e+00h 1\n", + " 112r-1.3122838e+01 9.45e+00 1.27e+03 -2.6 1.19e+00 0.6 1.00e+00 3.46e-01h 1\n", + " 113r-1.2976434e+01 3.27e+00 1.72e+03 -2.6 6.47e-01 1.0 8.45e-03 6.77e-01h 1\n", + " 114r-1.2962129e+01 1.55e+00 8.14e+02 -2.6 1.03e-01 1.4 1.00e+00 5.27e-01h 1\n", + " 115r-1.2931903e+01 6.84e-01 3.55e+02 -2.6 1.33e-01 0.9 1.00e+00 5.64e-01h 1\n", + " 116r-1.2785052e+01 6.16e-01 3.48e+02 -2.6 9.82e-01 0.5 1.00e+00 3.66e-01f 1\n", + " 117r-1.2784204e+01 5.53e-01 3.81e+02 -2.6 6.05e-02 1.8 1.92e-01 1.01e-01h 1\n", + " 118r-1.2790501e+01 4.16e-01 1.35e+03 -2.6 6.86e-02 1.3 1.00e+00 2.49e-01h 1\n", + " 119r-1.2802974e+01 3.89e-03 6.92e+01 -2.6 5.62e-02 0.8 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r-1.2773011e+01 2.83e-03 3.33e+01 -2.6 1.07e-01 0.4 1.00e+00 1.00e+00f 1\n", + " 121r-1.2701040e+01 1.68e-02 1.16e+01 -2.6 3.35e-01 -0.1 1.00e+00 7.95e-01f 1\n", + " 122r-1.2511963e+01 2.02e-01 5.37e+01 -2.6 1.07e+00 -0.6 1.00e+00 7.78e-01f 1\n", + " 123r-1.2480753e+01 6.13e-01 9.34e+01 -2.6 4.13e+00 -1.1 6.70e-01 1.59e-01f 1\n", + " 124r-1.2466485e+01 1.67e-01 8.74e+01 -2.6 4.66e-01 -0.7 1.00e+00 1.00e+00h 1\n", + " 125r-1.2325845e+01 1.58e-01 6.50e+00 -2.6 8.52e-01 -1.1 1.00e+00 1.00e+00h 1\n", + " 126r-1.2525818e+01 3.76e-01 1.69e+01 -2.6 1.02e+00 -1.6 7.81e-01 6.15e-01h 1\n", + " 127r-1.2560629e+01 1.55e+00 6.75e+01 -2.6 3.37e+00 - 1.00e+00 4.00e-01h 1\n", + " 128r-1.2674322e+01 5.94e-01 1.42e+01 -2.6 1.49e+00 - 1.00e+00 7.82e-01h 1\n", + " 129r-1.2720176e+01 1.67e-02 2.16e-01 -2.6 4.28e-01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r-1.2707960e+01 1.10e-03 2.88e-02 -2.6 8.00e-02 - 1.00e+00 1.00e+00h 1\n", + " 131r-1.2723517e+01 2.69e-03 1.88e+02 -3.9 1.85e-01 - 8.71e-01 7.75e-01f 1\n", + " 132r-1.2756869e+01 1.21e-02 3.15e+03 -3.9 4.72e+00 -2.1 1.00e+00 7.28e-02f 1\n", + " 133r-1.2735532e+01 2.00e-02 3.46e+03 -3.9 1.41e+01 - 8.41e-01 2.00e-02f 1\n", + " 134r-1.2708149e+01 1.97e-02 3.51e+03 -3.9 6.95e+00 - 1.00e+00 1.42e-02f 1\n", + " 135r-1.2731994e+01 2.26e-03 1.84e+02 -3.9 1.04e-01 - 1.00e+00 9.48e-01f 1\n", + " 136r-1.2743336e+01 4.22e-04 1.18e-01 -3.9 4.93e-02 - 1.00e+00 1.00e+00f 1\n", + " 137r-1.2743403e+01 2.11e-07 8.60e-07 -3.9 2.12e-04 - 1.00e+00 1.00e+00h 1\n", + " 138r-1.2743445e+01 4.44e-08 8.02e+02 -8.7 4.07e-04 - 1.00e+00 7.07e-01f 1\n", + " 139r-1.2743471e+01 2.27e-08 1.31e+03 -8.7 2.50e-04 - 9.49e-01 6.85e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r-1.2743463e+01 1.35e-09 2.21e+01 -8.7 5.08e-05 - 9.08e-01 9.73e-01f 1\n", + "\n", + "Number of Iterations....: 140\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -1.2743463437887634e+01 -1.2743463437887634e+01\n", + "Dual infeasibility......: 1.4420908911461083e-11 1.4420908911461083e-11\n", + "Constraint violation....: 1.3455974112730473e-09 1.3455974112730473e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.3455974112730473e-09 1.3455974112730473e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 150\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 150\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 142\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 140\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 1.331\n", + "Total CPU secs in NLP function evaluations = 0.177\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FIM: [[ 31.19391557 7.03339196 -85.14802973 -28.2775692 ]\n", + " [ 7.03339196 28.43641665 -14.61671733 -144.55965845]\n", + " [ -85.14802973 -14.61671733 245.08976375 64.53400122]\n", + " [ -28.2775692 -144.55965845 64.53400122 781.21669121]]\n", + "Trace: 1085.936787183226\n", + "Determinant: 342307.05601205427\n", + "Condition number: 1196.9590568982903\n", + "Minimal eigen value: 0.6830775159226116\n", + "Eigen values: [8.17615819e+02 2.65327881e+02 6.83077516e-01 2.31000908e+00]\n", + "Eigen vectors: [[ 0.04986208 -0.32439007 -0.71003426 0.62300578]\n", + " [ 0.18122355 0.01274679 0.6524547 0.73572984]\n", + " [-0.12189547 0.93666857 -0.23867145 0.22545384]\n", + " [-0.97458365 -0.13137959 0.11484837 0.14048474]]\n", + "Model objective: 12.743463437887634\n", + "Objective(determinant) is: 342307.056029055\n", + "Solution of CA0 : [5]\n", + "Solution of T : [689.5999999999999]\n", + "======problem solver output======\n", + "converged\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 25168\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 1931\n", + "\n", + "Reallocating memory for MA57: lfact (322524)\n", + "Total number of variables............................: 6416\n", + " variables with only lower bounds: 2316\n", + " variables with lower and upper bounds: 98\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 6414\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -1.2743463e+01 2.19e-01 7.08e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (343396)\n", + " 1 -1.2752110e+01 1.68e-01 7.40e+00 -1.0 2.81e+00 - 9.73e-01 2.33e-01h 1\n", + " 2 -1.2775633e+01 4.75e-02 1.77e+01 -1.0 1.06e+01 - 6.55e-01 1.00e+00h 1\n", + " 3 -1.2843714e+01 2.98e-01 2.38e+01 -1.0 5.55e+02 - 8.00e-02 3.68e-02f 4\n", + " 4 -1.2893635e+01 4.48e-01 2.86e+02 -1.0 2.00e+02 -4.0 5.17e-01 7.52e-02f 4\n", + " 5 -1.2952005e+01 7.37e-01 2.72e+02 -1.0 7.08e+03 - 4.77e-03 2.57e-03f 4\n", + " 6 -1.2983839e+01 7.73e-01 7.28e+02 -1.0 8.60e+01 -3.6 1.00e+00 1.21e-01f 4\n", + " 7 -1.3007153e+01 8.07e-01 7.42e+02 -1.0 1.28e+02 - 2.09e-01 6.25e-02f 5\n", + " 8 -1.3364143e+01 2.42e+01 6.83e+02 -1.0 2.53e+02 -4.1 1.74e-01 5.14e-01f 1\n", + " 9 -1.3208201e+01 8.11e+00 9.19e+02 -1.0 6.58e+01 - 9.69e-02 8.02e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.3176109e+01 4.50e+00 3.82e+04 -1.0 1.82e+01 - 5.50e-01 1.00e+00f 1\n", + " 11 -1.3254061e+01 5.45e+00 6.35e+04 -1.0 3.32e+01 - 4.24e-01 1.00e+00f 1\n", + " 12 -1.3252325e+01 9.60e-01 6.65e+02 -1.0 1.33e+01 - 1.00e+00 1.00e+00f 1\n", + " 13 -1.3335649e+01 8.65e+01 3.73e+04 -1.0 1.85e+02 - 1.44e-01 7.40e-01f 1\n", + " 14 -1.3306779e+01 7.47e+01 3.18e+04 -1.0 2.27e+01 - 1.97e-01 1.42e-01f 1\n", + " 15 -1.3119976e+01 2.63e+01 8.87e+02 -1.0 4.37e+01 - 2.24e-01 1.00e+00f 1\n", + " 16 -1.3267337e+01 1.79e+00 4.57e+01 -1.0 2.28e+01 -1.8 8.37e-01 1.00e+00h 1\n", + " 17 -1.3177908e+01 1.27e+02 3.36e+02 -1.0 2.57e+02 - 2.59e-01 1.00e+00f 1\n", + " 18 -1.3217063e+01 1.27e+02 3.36e+02 -1.0 5.81e+04 - 5.70e-03 4.22e-04f 1\n", + " 19 -1.3007843e+01 2.29e+01 9.46e+01 -1.0 9.25e+01 - 5.59e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.3139300e+01 3.21e+01 2.26e+01 -1.0 2.75e+02 - 1.00e+00 7.61e-01f 1\n", + " 21 -1.3066777e+01 6.18e+01 3.30e+01 -1.0 2.49e+02 - 5.05e-01 1.00e+00f 1\n", + " 22 -1.3077525e+01 9.61e+00 3.69e+00 -1.0 1.20e+02 - 1.00e+00 1.00e+00h 1\n", + " 23 -1.3128767e+01 2.47e+00 1.28e+00 -1.0 2.79e+01 - 1.00e+00 1.00e+00h 1\n", + " 24 -1.3135384e+01 1.23e-01 8.25e-02 -1.0 7.99e+00 - 1.00e+00 1.00e+00h 1\n", + " 25 -1.3135789e+01 1.80e-04 1.45e-02 -2.5 5.61e-01 - 1.00e+00 1.00e+00h 1\n", + " 26 -1.3141807e+01 1.23e-01 1.65e-01 -3.8 1.26e+01 - 9.80e-01 1.00e+00h 1\n", + " 27 -1.3142993e+01 6.01e-05 8.91e-04 -3.8 1.76e-01 -2.3 1.00e+00 1.00e+00h 1\n", + " 28 -1.3194798e+01 8.63e+00 2.71e+00 -5.7 1.98e+02 - 4.83e-01 5.78e-01f 1\n", + " 29 -1.3235592e+01 9.02e-01 4.20e-01 -5.7 3.84e+01 - 9.18e-01 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.3237718e+01 1.05e-03 1.41e-03 -5.7 5.95e-01 - 1.00e+00 1.00e+00h 1\n", + " 31 -1.3237666e+01 2.49e-06 8.52e-07 -5.7 7.42e-02 - 1.00e+00 1.00e+00h 1\n", + " 32 -1.3237847e+01 2.69e-05 1.07e-05 -8.6 2.43e-01 - 1.00e+00 1.00e+00h 1\n", + " 33 -1.3237847e+01 1.49e-11 4.87e-12 -8.6 1.77e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 33\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -1.3237846622081737e+01 -1.3237846622081737e+01\n", + "Dual infeasibility......: 4.8672177399566863e-12 4.8672177399566863e-12\n", + "Constraint violation....: 1.4892975741531700e-11 1.4892975741531700e-11\n", + "Complementarity.........: 2.5059050513034921e-09 2.5059050513034921e-09\n", + "Overall NLP error.......: 2.5059050513034921e-09 2.5059050513034921e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 62\n", + "Number of objective gradient evaluations = 34\n", + "Number of equality constraint evaluations = 62\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 34\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 33\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.330\n", + "Total CPU secs in NLP function evaluations = 0.043\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "FIM: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", + " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", + " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", + " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n", + "Trace: 1981.0424592679437\n", + "Determinant: 561207.8539766996\n", + "Condition number: 2950.2205041042375\n", + "Minimal eigen value: 0.5016010464925413\n", + "Eigen values: [1.47983369e+03 4.99192614e+02 5.01601046e-01 1.51455219e+00]\n", + "Eigen vectors: [[-0.03538095 0.3120344 -0.77934566 0.54222049]\n", + " [-0.17098781 -0.01375256 0.56416591 0.80764526]\n", + " [ 0.09797729 -0.94433769 -0.25524836 0.18296187]\n", + " [ 0.97975089 0.10330402 0.09584074 0.14223581]]\n", + "Model objective: 13.237846622081737\n", + "Objective(determinant) is: 561207.8539767276\n", + "Solution of CA0 : [5.0]\n", + "Solution of T : [300.0000242851759]\n", + "======problem solver output======\n", + "converged\n" + ] + } + ], + "source": [ + "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", + " ['CA','CB','CC'], t_measure, createmod,\n", + " prior_FIM=prior_pass, discretize_model=disc)\n", + "\n", + "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_cho=True, scale_nominal_param_value=True, obj_opt='det', L_initial=None)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "c6b08c05", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "This optimization is solved with status: converged\n", + "It gives solution: {'CA0': [5.0], 'T': [300.0000242851759]}\n", + "The log10(OF) optimized is: 13.237846622081737\n", + "The result FIM is: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", + " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", + " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", + " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n" + ] + } + ], + "source": [ + "print('======Result summary======')\n", + "print('This optimization is solved with status:', optimize_result.status)\n", + "print('It gives solution:', optimize_result.solution)\n", + "print('The log10(OF) optimized is:', optimize_result.obj_value)\n", + "print('The result FIM is:', optimize_result.FIM)" + ] + }, + { + "cell_type": "markdown", + "id": "skilled-booking", + "metadata": {}, + "source": [ + "## heatmap " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "flush-diameter", + "metadata": {}, + "outputs": [], + "source": [ + "design_ranges = {'CA0':list(np.linspace(1,5,9)), 'T': list(np.linspace(300,700,9))}\n", + "\n", + "dv_apply_time = {'CA0': [0], 'T': t_control}\n", + "\n", + "# Define experiments\n", + "if (model_opt=='dynamic-DAE'):\n", + " exp1 = generate_exp(t_control, 5, [570.21, 300, 300, 300, 300, 300, 300, 300, 300])\n", + "else: \n", + " exp1 = generate_exp(t_control, 5, [500])" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "separate-leone", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "=======This is the 1 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", + " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", + " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", + " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", + "Trace: 1099.5362969977725\n", + "Determinant: 151638.4943213679\n", + "Condition number: 1703.5708820968514\n", + "Minimal eigen value: 0.48581739042109506\n", + "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", + "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", + " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", + " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", + " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", + "This is the 1 run out of 81 run.\n", + "The code has run 1.1997 seconds.\n", + "Estimated remaining time: 95.9743 seconds\n", + "=======This is the 2 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.32275018 5.73052082 -83.45733449 -25.66817709]\n", + " [ 5.73052082 27.64850163 -13.26806928 -145.64721142]\n", + " [ -83.45733449 -13.26806928 245.06096284 63.15882951]\n", + " [ -25.66817709 -145.64721142 63.15882951 800.38603338]]\n", + "Trace: 1102.4182480406644\n", + "Determinant: 150855.125045628\n", + "Condition number: 1705.3048930035557\n", + "Minimal eigen value: 0.48997231855823686\n", + "Eigen values: [8.35552192e+02 2.64985514e+02 4.89972319e-01 1.39056985e+00]\n", + "Eigen vectors: [[ 0.04421991 -0.31912029 -0.77638562 0.54169383]\n", + " [ 0.17820018 0.01472016 0.5657347 0.80496724]\n", + " [-0.1146775 0.93969452 -0.2597058 0.19072538]\n", + " [-0.97628805 -0.12214649 0.0986028 0.14906159]]\n", + "This is the 2 run out of 81 run.\n", + "The code has run 2.3428 seconds.\n", + "Estimated remaining time: 92.5414 seconds\n", + "=======This is the 3 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.13959316 5.68057605 -82.8139664 -25.23666085]\n", + " [ 5.68057605 27.27296764 -13.04504074 -143.14725332]\n", + " [ -82.8139664 -13.04504074 242.98173477 61.60044815]\n", + " [ -25.23666085 -143.14725332 61.60044815 784.93406012]]\n", + "Trace: 1084.3283557002067\n", + "Determinant: 152039.07832960782\n", + "Condition number: 1641.2051904546718\n", + "Minimal eigen value: 0.4993357281605193\n", + "Eigen values: [8.19512389e+02 2.62903408e+02 4.99335728e-01 1.41322349e+00]\n", + "Eigen vectors: [[ 0.04447521 -0.31931057 -0.77803254 0.53919206]\n", + " [ 0.17859423 0.01458837 0.56323502 0.80663349]\n", + " [-0.11473313 0.93961044 -0.26036328 0.19020907]\n", + " [-0.97619791 -0.12231173 0.09819695 0.14978263]]\n", + "This is the 3 run out of 81 run.\n", + "The code has run 3.6772 seconds.\n", + "Estimated remaining time: 95.6067 seconds\n", + "=======This is the 4 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.01044333 5.6006748 -82.42582703 -24.78056053]\n", + " [ 5.6006748 26.92260118 -12.8093067 -141.30405073]\n", + " [ -82.42582703 -12.8093067 241.89507006 60.33727148]\n", + " [ -24.78056053 -141.30405073 60.33727148 775.5570763 ]]\n", + "Trace: 1073.3851908623308\n", + "Determinant: 152189.04419265324\n", + "Condition number: 1609.9994023835127\n", + "Minimal eigen value: 0.5028391663221075\n", + "Eigen values: [8.09570757e+02 2.61884047e+02 5.02839166e-01 1.42754706e+00]\n", + "Eigen vectors: [[ 0.04433757 -0.31929264 -0.77731938 0.54024159]\n", + " [ 0.17845201 0.014419 0.56435213 0.80588687]\n", + " [-0.1142325 0.93968376 -0.2600425 0.19058663]\n", + " [-0.97628889 -0.12181434 0.09828098 0.14953969]]\n", + "This is the 4 run out of 81 run.\n", + "The code has run 4.9889 seconds.\n", + "Estimated remaining time: 96.0354 seconds\n", + "=======This is the 5 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.92490828 5.55538372 -82.19690664 -24.54095093]\n", + " [ 5.55538372 26.74178551 -12.68546547 -140.44317569]\n", + " [ -82.19690664 -12.68546547 241.32359269 59.73172413]\n", + " [ -24.54095093 -140.44317569 59.73172413 771.61101462]]\n", + "Trace: 1068.6013010931579\n", + "Determinant: 151629.20405875487\n", + "Condition number: 1602.4379552920132\n", + "Minimal eigen value: 0.5025670284947488\n", + "Eigen values: [8.05332482e+02 2.61332679e+02 5.02567028e-01 1.43357337e+00]\n", + "Eigen vectors: [[ 0.04419056 -0.31920854 -0.77605387 0.54211945]\n", + " [ 0.17828909 0.01431314 0.56629712 0.80455932]\n", + " [-0.11385326 0.93976516 -0.25949412 0.19115878]\n", + " [-0.97636962 -0.12141862 0.09854321 0.14916141]]\n", + "This is the 5 run out of 81 run.\n", + "The code has run 6.3409 seconds.\n", + "Estimated remaining time: 96.3815 seconds\n", + "=======This is the 6 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.86882939 5.53037525 -82.05970295 -24.41164554]\n", + " [ 5.53037525 26.64172746 -12.6186346 -140.0045525 ]\n", + " [ -82.05970295 -12.6186346 241.01199885 59.42386584]\n", + " [ -24.41164554 -140.0045525 59.42386584 769.77181902]]\n", + "Trace: 1066.294374711943\n", + "Determinant: 150651.09426599584\n", + "Condition number: 1605.4640856393876\n", + "Minimal eigen value: 0.5003756301004131\n", + "Eigen values: [8.03335103e+02 2.61023074e+02 5.00375630e-01 1.43582164e+00]\n", + "Eigen vectors: [[ 0.04408811 -0.31912119 -0.77484501 0.54390542]\n", + " [ 0.17816725 0.0142491 0.56813973 0.80328739]\n", + " [-0.11361614 0.93982827 -0.25897468 0.19169326]\n", + " [-0.97642411 -0.12116701 0.09881581 0.14882859]]\n", + "This is the 6 run out of 81 run.\n", + "The code has run 7.9251 seconds.\n", + "Estimated remaining time: 99.0634 seconds\n", + "=======This is the 7 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.83024839 5.51197609 -81.9726446 -24.32382628]\n", + " [ 5.51197609 26.57520042 -12.57324566 -139.74017115]\n", + " [ -81.9726446 -12.57324566 240.83051064 59.23199143]\n", + " [ -24.32382628 -139.74017115 59.23199143 768.76471335]]\n", + "Trace: 1065.0006727945133\n", + "Determinant: 149413.08866872228\n", + "Condition number: 1612.3033965284394\n", + "Minimal eigen value: 0.4975647310687059\n", + "Eigen values: [8.02225306e+02 2.60842762e+02 4.97564731e-01 1.43503967e+00]\n", + "Eigen vectors: [[ 0.04400313 -0.31904919 -0.77362392 0.54568981]\n", + " [ 0.17807049 0.01421057 0.56997784 0.80200637]\n", + " [-0.11343891 0.93987811 -0.25847425 0.19222854]\n", + " [-0.9764662 -0.12097442 0.09910778 0.14851464]]\n", + "This is the 7 run out of 81 run.\n", + "The code has run 9.6133 seconds.\n", + "Estimated remaining time: 101.6268 seconds\n", + "=======This is the 8 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.80018525 5.49300764 -81.91123719 -24.24793267]\n", + " [ 5.49300764 26.52345436 -12.53402042 -139.55761761]\n", + " [ -81.91123719 -12.53402042 240.71385582 59.08679739]\n", + " [ -24.24793267 -139.55761761 59.08679739 768.1403749 ]]\n", + "Trace: 1064.1778703392624\n", + "Determinant: 147983.78531466573\n", + "Condition number: 1619.2882874718866\n", + "Minimal eigen value: 0.49498422928574204\n", + "Eigen values: [8.01522165e+02 2.60730128e+02 4.94984229e-01 1.43059273e+00]\n", + "Eigen vectors: [[ 0.04391558 -0.31898969 -0.77249369 0.54733034]\n", + " [ 0.17798693 0.01419347 0.57166177 0.80082584]\n", + " [-0.11327681 0.93992205 -0.25802797 0.19270827]\n", + " [-0.97650419 -0.12079184 0.09938759 0.14822618]]\n", + "This is the 8 run out of 81 run.\n", + "The code has run 11.0564 seconds.\n", + "Estimated remaining time: 100.8899 seconds\n", + "=======This is the 9 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 28.77447266 5.4733019 -81.86441559 -24.18097488]\n", + " [ 5.4733019 26.4829594 -12.4994136 -139.4302313 ]\n", + " [ -81.86441559 -12.4994136 240.63335596 58.97428567]\n", + " [ -24.18097488 -139.4302313 58.97428567 767.74785482]]\n", + "Trace: 1063.638642847519\n", + "Determinant: 146507.48646152133\n", + "Condition number: 1624.9104501935346\n", + "Minimal eigen value: 0.49299236417422976\n", + "Eigen values: [8.01068444e+02 2.60653941e+02 4.92992364e-01 1.42326479e+00]\n", + "Eigen vectors: [[ 0.04382893 -0.31893711 -0.7717461 0.54842146]\n", + " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", + " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", + " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", + "This is the 9 run out of 81 run.\n", + "The code has run 12.6645 seconds.\n", + "Estimated remaining time: 101.3162 seconds\n", + "=======This is the 10 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.70641355 5.57815178 -88.05817863 -25.02307897]\n", + " [ 5.57815178 28.03819545 -12.93465209 -149.06593851]\n", + " [ -88.05817863 -12.93465209 260.17215396 61.87992411]\n", + " [ -25.02307897 -149.06593851 61.87992411 826.53130085]]\n", + "Trace: 1145.4480638161667\n", + "Determinant: 166581.38467009662\n", + "Condition number: 1768.1232464410234\n", + "Minimal eigen value: 0.48728421389676346\n", + "Eigen values: [8.61578546e+02 2.81975090e+02 4.87284214e-01 1.40714388e+00]\n", + "Eigen vectors: [[ 0.04232893 -0.31766896 -0.77678944 0.54211886]\n", + " [ 0.17674052 0.01415152 0.56581838 0.80524039]\n", + " [-0.11053633 0.94077102 -0.25856259 0.18941223]\n", + " [-0.97711451 -0.11762676 0.09794444 0.14770939]]\n", + "This is the 10 run out of 81 run.\n", + "The code has run 13.9527 seconds.\n", + "Estimated remaining time: 99.0639 seconds\n", + "=======This is the 11 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.12752784 6.12805011 -85.60807009 -27.7236819 ]\n", + " [ 6.12805011 29.19744073 -14.3304499 -153.65631904]\n", + " [ -85.60807009 -14.3304499 250.80871635 68.65208131]\n", + " [ -27.7236819 -153.65631904 68.65208131 841.79876875]]\n", + "Trace: 1151.9324536678646\n", + "Determinant: 164685.70018609465\n", + "Condition number: 1771.4801724742997\n", + "Minimal eigen value: 0.4964321047417337\n", + "Eigen values: [8.79419631e+02 2.70622477e+02 4.96432105e-01 1.39391410e+00]\n", + "Eigen vectors: [[ 0.04491711 -0.31961785 -0.77643054 0.54127858]\n", + " [ 0.17866548 0.01524896 0.5653439 0.8051288 ]\n", + " [-0.11677295 0.93923424 -0.26030484 0.19090448]\n", + " [-0.97592273 -0.12430185 0.09891048 0.14946769]]\n", + "This is the 11 run out of 81 run.\n", + "The code has run 15.1302 seconds.\n", + "Estimated remaining time: 96.2833 seconds\n", + "=======This is the 12 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.71542453 6.01567437 -84.16049376 -26.75276831]\n", + " [ 6.01567437 28.35248924 -13.82864007 -148.03140872]\n", + " [ -84.16049376 -13.82864007 246.13046204 65.14573844]\n", + " [ -26.75276831 -148.03140872 65.14573844 807.03178755]]\n", + "Trace: 1111.2301633637778\n", + "Determinant: 167498.06622292424\n", + "Condition number: 1630.10789521531\n", + "Minimal eigen value: 0.5173475296016143\n", + "Eigen values: [8.43332293e+02 2.65936913e+02 5.17347530e-01 1.44361061e+00]\n", + "Eigen vectors: [[ 0.04551309 -0.32004255 -0.77992286 0.53593064]\n", + " [ 0.17954663 0.01498612 0.56000596 0.80866047]\n", + " [-0.11700624 0.93903051 -0.26172257 0.18982237]\n", + " [-0.97570544 -0.12477931 0.09805588 0.15104325]]\n", + "This is the 12 run out of 81 run.\n", + "The code has run 16.4628 seconds.\n", + "Estimated remaining time: 94.6609 seconds\n", + "=======This is the 13 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.42483742 5.83589657 -83.2871783 -25.72654463]\n", + " [ 5.83589657 27.56416471 -13.29823411 -143.88420751]\n", + " [ -83.2871783 -13.29823411 243.68545756 62.30357572]\n", + " [ -25.72654463 -143.88420751 62.30357572 785.93361533]]\n", + "Trace: 1086.6080750185051\n", + "Determinant: 167875.11552651896\n", + "Condition number: 1562.4478475438566\n", + "Minimal eigen value: 0.5254321774225026\n", + "Eigen values: [8.20960375e+02 2.63646133e+02 5.25432177e-01 1.47613493e+00]\n", + "Eigen vectors: [[ 0.04524413 -0.3200065 -0.77844675 0.53811659]\n", + " [ 0.17925728 0.01462011 0.56233951 0.8071105 ]\n", + " [-0.11598236 0.93918215 -0.26104818 0.19062748]\n", + " [-0.97589338 -0.12376989 0.09822824 0.1505468 ]]\n", + "This is the 13 run out of 81 run.\n", + "The code has run 18.0547 seconds.\n", + "Estimated remaining time: 94.4401 seconds\n", + "=======This is the 14 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.23238356 5.73399164 -82.77210745 -25.18742309]\n", + " [ 5.73399164 27.15732946 -13.01959137 -141.94723866]\n", + " [ -82.77210745 -13.01959137 242.39963353 60.94109427]\n", + " [ -25.18742309 -141.94723866 60.94109427 777.05497655]]\n", + "Trace: 1075.8443231042434\n", + "Determinant: 166559.47639777444\n", + "Condition number: 1545.6906074240526\n", + "Minimal eigen value: 0.5249576134254763\n", + "Eigen values: [8.11422052e+02 2.62407189e+02 5.24957613e-01 1.49012456e+00]\n", + "Eigen vectors: [[ 0.04492884 -0.31982184 -0.77575625 0.54212326]\n", + " [ 0.17890315 0.01438423 0.56649127 0.80428503]\n", + " [-0.11516394 0.93936059 -0.2598682 0.19185273]\n", + " [-0.97606984 -0.12291775 0.09878462 0.14973475]]\n", + "This is the 14 run out of 81 run.\n", + "The code has run 19.6844 seconds.\n", + "Estimated remaining time: 94.2041 seconds\n", + "=======This is the 15 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.10620604 5.67772258 -82.46339932 -24.89648593]\n", + " [ 5.67772258 26.93219884 -12.86922226 -140.9603365 ]\n", + " [ -82.46339932 -12.86922226 241.69854807 60.24841433]\n", + " [ -24.89648593 -140.9603365 60.24841433 772.91678654]]\n", + "Trace: 1070.65373948992\n", + "Determinant: 164251.619804841\n", + "Condition number: 1551.5407215360776\n", + "Minimal eigen value: 0.5200809843403219\n", + "Eigen values: [8.06926826e+02 2.61711348e+02 5.20080984e-01 1.49548471e+00]\n", + "Eigen vectors: [[ 0.04470411 -0.31962802 -0.77317125 0.54593561]\n", + " [ 0.17863376 0.01423995 0.57042457 0.80156286]\n", + " [-0.11464267 0.93950088 -0.25874541 0.19299216]\n", + " [-0.97619085 -0.12236526 0.09936214 0.14901452]]\n", + "This is the 15 run out of 81 run.\n", + "The code has run 21.2798 seconds.\n", + "Estimated remaining time: 93.6310 seconds\n", + "=======This is the 16 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.0193988 5.63632446 -82.26751782 -24.69889258]\n", + " [ 5.63632446 26.78251299 -12.76709673 -140.36547844]\n", + " [ -82.26751782 -12.76709673 241.29019885 59.81669556]\n", + " [ -24.69889258 -140.36547844 59.81669556 770.65079868]]\n", + "Trace: 1067.7429093235437\n", + "Determinant: 161334.89807169262\n", + "Condition number: 1565.79882549867\n", + "Minimal eigen value: 0.5137499671366336\n", + "Eigen values: [8.04429095e+02 2.61306103e+02 5.13749967e-01 1.49396075e+00]\n", + "Eigen vectors: [[ 0.04451555 -0.31946758 -0.77054608 0.54974319]\n", + " [ 0.17841813 0.01415267 0.57434597 0.79880748]\n", + " [-0.11424927 0.93961231 -0.25766109 0.19413028]\n", + " [-0.97628502 -0.12193796 0.0999811 0.14833231]]\n", + "This is the 16 run out of 81 run.\n", + "The code has run 22.7990 seconds.\n", + "Estimated remaining time: 92.6211 seconds\n", + "=======This is the 17 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.95175675 5.59364544 -82.12935116 -24.52813197]\n", + " [ 5.59364544 26.66608437 -12.67883997 -139.95473299]\n", + " [ -82.12935116 -12.67883997 241.02772555 59.49000905]\n", + " [ -24.52813197 -139.95473299 59.49000905 769.24603721]]\n", + "Trace: 1065.8916038711552\n", + "Determinant: 157986.53907653803\n", + "Condition number: 1580.7201252527295\n", + "Minimal eigen value: 0.5078992315221698\n", + "Eigen values: [8.02846537e+02 2.61053006e+02 5.07899232e-01 1.48416195e+00]\n", + "Eigen vectors: [[ 0.04431997 -0.31933472 -0.76807456 0.55328342]\n", + " [ 0.17823113 0.01411361 0.5779786 0.7962256 ]\n", + " [-0.11388728 0.93971088 -0.25668156 0.19516077]\n", + " [-0.97637037 -0.12153025 0.10058223 0.1476974 ]]\n", + "This is the 17 run out of 81 run.\n", + "The code has run 24.3054 seconds.\n", + "Estimated remaining time: 91.5025 seconds\n", + "=======This is the 18 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 28.89390341 5.54930753 -82.02400255 -24.37747694]\n", + " [ 5.54930753 26.57497071 -12.60097464 -139.66811378]\n", + " [ -82.02400255 -12.60097464 240.84660087 59.23685769]\n", + " [ -24.37747694 -139.66811378 59.23685769 768.362867 ]]\n", + "Trace: 1064.6783419866704\n", + "Determinant: 154556.86878195836\n", + "Condition number: 1592.9075104447347\n", + "Minimal eigen value: 0.5033721886008624\n", + "Eigen values: [8.01825340e+02 2.60881801e+02 5.03372189e-01 1.46782923e+00]\n", + "Eigen vectors: [[ 0.0441257 -0.3192171 -0.76637353 0.55572023]\n", + " [ 0.17807683 0.01411373 0.58045733 0.79445499]\n", + " [-0.11356021 0.93979995 -0.25600742 0.19580686]\n", + " [-0.97644541 -0.12114987 0.10100051 0.14722759]]\n", + "This is the 18 run out of 81 run.\n", + "The code has run 25.9627 seconds.\n", + "Estimated remaining time: 90.8694 seconds\n", + "=======This is the 19 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.28334671 5.70699409 -92.97484844 -25.80031677]\n", + " [ 5.70699409 29.30507497 -13.33636445 -156.70839321]\n", + " [ -92.97484844 -13.33636445 275.50168257 64.30324325]\n", + " [ -25.80031677 -156.70839321 64.30324325 872.63443311]]\n", + "Trace: 1209.7245373595783\n", + "Determinant: 188680.91170914198\n", + "Condition number: 1858.616320831994\n", + "Minimal eigen value: 0.48913747009914166\n", + "Eigen values: [9.09118885e+02 2.98695996e+02 4.89137470e-01 1.42051869e+00]\n", + "Eigen vectors: [[ 0.04146304 -0.31695699 -0.77712411 0.54212287]\n", + " [ 0.17602088 0.01408456 0.56560106 0.80555181]\n", + " [-0.10898703 0.94123169 -0.25813549 0.18860223]\n", + " [-0.97745552 -0.1158568 0.09767104 0.14703155]]\n", + "This is the 19 run out of 81 run.\n", + "The code has run 27.1719 seconds.\n", + "Estimated remaining time: 88.6661 seconds\n", + "=======This is the 20 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.25421656 6.68459112 -88.61909992 -30.60138864]\n", + " [ 6.68459112 31.36595547 -15.81778278 -164.86906971]\n", + " [ -88.61909992 -15.81778278 258.85557126 76.34263383]\n", + " [ -30.60138864 -164.86906971 76.34263383 899.77659826]]\n", + "Trace: 1221.2523415411317\n", + "Determinant: 184979.52586245077\n", + "Condition number: 1863.3156848542435\n", + "Minimal eigen value: 0.5049297243111703\n", + "Eigen values: [9.40843475e+02 2.78505828e+02 5.04929724e-01 1.39810909e+00]\n", + "Eigen vectors: [[ 0.04575816 -0.32029107 -0.77638665 0.54087299]\n", + " [ 0.17924367 0.01591336 0.56497666 0.80524521]\n", + " [-0.11929887 0.93864685 -0.26107427 0.19118079]\n", + " [-0.97547203 -0.12689556 0.09932456 0.14995489]]\n", + "This is the 20 run out of 81 run.\n", + "The code has run 28.4345 seconds.\n", + "Estimated remaining time: 86.7251 seconds\n", + "=======This is the 21 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.52158843 6.48481199 -86.0456274 -28.87532344]\n", + " [ 6.48481199 29.86381946 -14.92566842 -154.8692371 ]\n", + " [ -86.0456274 -14.92566842 250.53865847 70.10910741]\n", + " [ -28.87532344 -154.8692371 70.10910741 837.96870419]]\n", + "Trace: 1148.8927705492695\n", + "Determinant: 190348.6673254422\n", + "Condition number: 1618.3103657413333\n", + "Minimal eigen value: 0.5417343666379524\n", + "Eigen values: [8.76694341e+02 2.70173245e+02 5.41734367e-01 1.48344999e+00]\n", + "Eigen vectors: [[ 0.04685373 -0.32103947 -0.78212185 0.53199981]\n", + " [ 0.18079203 0.01551727 0.55613272 0.81104245]\n", + " [-0.11992293 0.93825512 -0.26345825 0.18943485]\n", + " [-0.97505767 -0.12794607 0.09793648 0.15264595]]\n", + "This is the 21 run out of 81 run.\n", + "The code has run 29.9276 seconds.\n", + "Estimated remaining time: 85.5075 seconds\n", + "=======This is the 22 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.00498916 6.16520704 -84.49307008 -27.0509224 ]\n", + " [ 6.16520704 28.46235364 -13.98273248 -147.49642699]\n", + " [ -84.49307008 -13.98273248 246.19200008 65.05640169]\n", + " [ -27.0509224 -147.49642699 65.05640169 800.46076995]]\n", + "Trace: 1105.1201128212274\n", + "Determinant: 191117.7507506111\n", + "Condition number: 1503.7114051925557\n", + "Minimal eigen value: 0.5565662145256329\n", + "Eigen values: [8.36914965e+02 2.66106715e+02 5.56566215e-01 1.54186738e+00]\n", + "Eigen vectors: [[ 0.04646642 -0.32098546 -0.77977639 0.53549788]\n", + " [ 0.18034719 0.01490153 0.55988332 0.8085688 ]\n", + " [-0.11833093 0.93849369 -0.26236422 0.19076794]\n", + " [-0.97535304 -0.1263957 0.09820625 0.1518753 ]]\n", + "This is the 22 run out of 81 run.\n", + "The code has run 31.2750 seconds.\n", + "Estimated remaining time: 83.8738 seconds\n", + "=======This is the 23 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.66284896 5.98404272 -83.57738856 -26.09248409]\n", + " [ 5.98404272 27.73909098 -13.48736761 -144.05292682]\n", + " [ -83.57738856 -13.48736761 243.90609069 62.63421243]\n", + " [ -26.09248409 -144.05292682 62.63421243 784.67652325]]\n", + "Trace: 1085.9845538731117\n", + "Determinant: 188639.4615552581\n", + "Condition number: 1474.5971888051029\n", + "Minimal eigen value: 0.5560520631753989\n", + "Eigen values: [8.19952809e+02 2.63907946e+02 5.56052063e-01 1.56774623e+00]\n", + "Eigen vectors: [[ 0.04594253 -0.320668 -0.77534136 0.54213199]\n", + " [ 0.17974722 0.01448798 0.56676229 0.80390394]\n", + " [-0.11695823 0.93879944 -0.26038706 0.19280809]\n", + " [-0.97565414 -0.12497097 0.09912039 0.15052047]]\n", + "This is the 23 run out of 81 run.\n", + "The code has run 32.5600 seconds.\n", + "Estimated remaining time: 82.1079 seconds\n", + "=======This is the 24 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.43853337 5.88400885 -83.02857374 -25.57526247]\n", + " [ 5.88400885 27.33885875 -13.22004406 -142.29843404]\n", + " [ -83.02857374 -13.22004406 242.65971528 61.40277918]\n", + " [ -25.57526247 -142.29843404 61.40277918 777.31974084]]\n", + "Trace: 1076.7568482418158\n", + "Determinant: 184270.03331003775\n", + "Condition number: 1482.9771752629497\n", + "Minimal eigen value: 0.5475192742598249\n", + "Eigen values: [8.11958587e+02 2.62672744e+02 5.47519274e-01 1.57799787e+00]\n", + "Eigen vectors: [[ 0.04555702 -0.32032998 -0.77104717 0.54845193]\n", + " [ 0.17927984 0.01423111 0.57328314 0.79937641]\n", + " [-0.11606112 0.93904462 -0.25849401 0.19469431]\n", + " [-0.97586532 -0.12402173 0.1000677 0.1493049 ]]\n", + "This is the 24 run out of 81 run.\n", + "The code has run 34.0180 seconds.\n", + "Estimated remaining time: 80.7929 seconds\n", + "=======This is the 25 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.28420938 5.81041218 -82.68034035 -25.22398541]\n", + " [ 5.81041218 27.0727506 -13.03848831 -141.24090865]\n", + " [ -82.68034035 -13.03848831 241.93376245 60.63528154]\n", + " [ -25.22398541 -141.24090865 60.63528154 773.29131813]]\n", + "Trace: 1071.5820405595707\n", + "Determinant: 178758.17326418444\n", + "Condition number: 1505.8326274881686\n", + "Minimal eigen value: 0.5362591366706398\n", + "Eigen values: [8.07516505e+02 2.61953424e+02 5.36259137e-01 1.57585305e+00]\n", + "Eigen vectors: [[ 0.0452283 -0.32004858 -0.76665675 0.55476188]\n", + " [ 0.17890164 0.01407456 0.57977992 0.79476497]\n", + " [-0.11537487 0.93924098 -0.25666067 0.19657139]\n", + " [-0.97603137 -0.12327688 0.10108403 0.14814718]]\n", + "This is the 25 run out of 81 run.\n", + "The code has run 35.5430 seconds.\n", + "Estimated remaining time: 79.6162 seconds\n", + "=======This is the 26 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.16395684 5.73453838 -82.43471072 -24.92041098]\n", + " [ 5.73453838 26.86576638 -12.88158736 -140.5106945 ]\n", + " [ -82.43471072 -12.88158736 241.46714317 60.05450537]\n", + " [ -24.92041098 -140.5106945 60.05450537 770.79396436]]\n", + "Trace: 1068.2908307463383\n", + "Determinant: 172475.9415463406\n", + "Condition number: 1530.546651700559\n", + "Minimal eigen value: 0.5257610786968038\n", + "Eigen values: [8.04701859e+02 2.61504282e+02 5.25761079e-01 1.55892881e+00]\n", + "Eigen vectors: [[ 0.04488407 -0.31981491 -0.76243559 0.56071009]\n", + " [ 0.1785717 0.01400365 0.5858805 0.79035441]\n", + " [-0.11473807 0.93941548 -0.25497866 0.19829175]\n", + " [-0.97618274 -0.1225597 0.10208767 0.14705266]]\n", + "This is the 26 run out of 81 run.\n", + "The code has run 37.2269 seconds.\n", + "Estimated remaining time: 78.7491 seconds\n", + "=======This is the 27 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 29.06110646 5.65571543 -82.24742429 -24.65257981]\n", + " [ 5.65571543 26.70378654 -12.74316009 -140.00114925]\n", + " [ -82.24742429 -12.74316009 241.14514372 59.60445848]\n", + " [ -24.65257981 -140.00114925 59.60445848 769.22388402]]\n", + "Trace: 1066.1339207407643\n", + "Determinant: 166109.9551245936\n", + "Condition number: 1551.1500791407132\n", + "Minimal eigen value: 0.5176066466705693\n", + "Eigen values: [8.02885591e+02 2.61200453e+02 5.17606647e-01 1.53027057e+00]\n", + "Eigen vectors: [[ 0.04454043 -0.31960751 -0.75938699 0.56497663]\n", + " [ 0.1782985 0.01400273 0.59021965 0.78718126]\n", + " [-0.11415988 0.93957357 -0.25377291 0.19942001]\n", + " [-0.9763162 -0.12188714 0.10281766 0.1462147 ]]\n", + "This is the 27 run out of 81 run.\n", + "The code has run 39.0597 seconds.\n", + "Estimated remaining time: 78.1194 seconds\n", + "=======This is the 28 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.31083221 5.87264848 -99.29628105 -26.7996225 ]\n", + " [ 5.87264848 30.93392006 -13.85285176 -166.5344064 ]\n", + " [ -99.29628105 -13.85285176 295.21107649 67.41893929]\n", + " [ -26.7996225 -166.5344064 67.41893929 931.90988887]]\n", + "Trace: 1292.3657176279999\n", + "Determinant: 219116.55598781718\n", + "Condition number: 1975.135565776819\n", + "Minimal eigen value: 0.4912314715447589\n", + "Eigen values: [9.70248750e+02 3.20189921e+02 4.91231472e-01 1.43581425e+00]\n", + "Eigen vectors: [[ 0.040473 -0.31614659 -0.77750088 0.54213066]\n", + " [ 0.17519902 0.01401412 0.56535675 0.80590362]\n", + " [-0.10721007 0.94175271 -0.25765221 0.18767837]\n", + " [-0.97784111 -0.11382781 0.09736251 0.14625502]]\n", + "This is the 28 run out of 81 run.\n", + "The code has run 40.5453 seconds.\n", + "Estimated remaining time: 76.7464 seconds\n", + "=======This is the 29 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.70281635 7.40014384 -92.49042399 -34.3012973 ]\n", + " [ 7.40014384 34.15404584 -17.73006791 -179.28546343]\n", + " [ -92.49042399 -17.73006791 269.20152757 86.23048708]\n", + " [ -34.3012973 -179.28546343 86.23048708 974.3195219 ]]\n", + "Trace: 1310.3779116577584\n", + "Determinant: 212667.62255371246\n", + "Condition number: 1980.140754134136\n", + "Minimal eigen value: 0.5150288667373343\n", + "Eigen values: [1.01982965e+03 2.88630420e+02 5.15028867e-01 1.40281393e+00]\n", + "Eigen vectors: [[ 0.04665874 -0.32111655 -0.77619183 0.54058613]\n", + " [ 0.17988432 0.01666262 0.56474405 0.80525036]\n", + " [-0.12200129 0.93797321 -0.26196245 0.19156621]\n", + " [-0.97497707 -0.12966406 0.09983027 0.15046883]]\n", + "This is the 29 run out of 81 run.\n", + "The code has run 41.7999 seconds.\n", + "Estimated remaining time: 74.9516 seconds\n", + "=======This is the 30 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.55808488 7.08798895 -88.46937314 -31.60432037]\n", + " [ 7.08798895 31.80695831 -16.33613916 -163.66072489]\n", + " [ -88.46937314 -16.33613916 256.20635122 76.49060178]\n", + " [ -31.60432037 -163.66072489 76.49060178 877.74468706]]\n", + "Trace: 1197.3160814605867\n", + "Determinant: 221799.0883115981\n", + "Condition number: 1608.3235339216812\n", + "Minimal eigen value: 0.5717813344410629\n", + "Eigen values: [9.19609376e+02 2.75604399e+02 5.71781334e-01 1.53052436e+00]\n", + "Eigen vectors: [[ 0.04840947 -0.32227626 -0.78433046 0.52784492]\n", + " [ 0.18225901 0.01616051 0.55206779 0.81347504]\n", + " [-0.12327976 0.93731565 -0.26545069 0.18914917]\n", + " [-0.97428963 -0.13159113 0.09789184 0.15446904]]\n", + "This is the 30 run out of 81 run.\n", + "The code has run 43.3618 seconds.\n", + "Estimated remaining time: 73.7150 seconds\n", + "=======This is the 31 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.75089853 6.58860624 -86.04350238 -28.75369385]\n", + " [ 6.58860624 29.61716799 -14.86280184 -152.14070917]\n", + " [ -86.04350238 -14.86280184 249.41469763 68.59574941]\n", + " [ -28.75369385 -152.14070917 68.59574941 819.13854015]]\n", + "Trace: 1128.9213042948234\n", + "Determinant: 223199.08519825267\n", + "Condition number: 1439.2001464010648\n", + "Minimal eigen value: 0.5957771989533247\n", + "Eigen values: [8.57442632e+02 2.69260221e+02 5.95777199e-01 1.62267394e+00]\n", + "Eigen vectors: [[ 0.04796256 -0.32221079 -0.78113541 0.53264179]\n", + " [ 0.18168784 0.0152626 0.55724216 0.81008503]\n", + " [-0.12118885 0.93763158 -0.26392306 0.19106254]\n", + " [-0.97468066 -0.12959272 0.09825105 0.15346033]]\n", + "This is the 31 run out of 81 run.\n", + "The code has run 44.7633 seconds.\n", + "Estimated remaining time: 72.1989 seconds\n", + "=======This is the 32 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.21630446 6.30553697 -84.61274999 -27.25613395]\n", + " [ 6.30553697 28.48707009 -14.0887942 -146.76024017]\n", + " [ -84.61274999 -14.0887942 245.84296418 64.81107863]\n", + " [ -27.25613395 -146.76024017 64.81107863 794.47565471]]\n", + "Trace: 1099.0219934376676\n", + "Determinant: 219046.7635612996\n", + "Condition number: 1395.1046514756501\n", + "Minimal eigen value: 0.5956039117841725\n", + "Eigen values: [8.30929788e+02 2.65831624e+02 5.95603912e-01 1.66497734e+00]\n", + "Eigen vectors: [[ 0.0472128 -0.32173526 -0.77481095 0.54214884]\n", + " [ 0.18080651 0.01462813 0.56710945 0.80341888]\n", + " [-0.11919796 0.93808696 -0.26104596 0.19400955]\n", + " [-0.97512656 -0.12753546 0.09954834 0.15150258]]\n", + "This is the 32 run out of 81 run.\n", + "The code has run 46.1885 seconds.\n", + "Estimated remaining time: 70.7261 seconds\n", + "=======This is the 33 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.86581136 6.14923404 -83.75522684 -26.44797517]\n", + " [ 6.14923404 27.86170723 -13.67110116 -144.0188452 ]\n", + " [ -83.75522684 -13.67110116 243.8955026 62.88696419]\n", + " [ -26.44797517 -144.0188452 62.88696419 782.9806822 ]]\n", + "Trace: 1084.6037033913724\n", + "Determinant: 211683.9981405787\n", + "Condition number: 1404.9139458158472\n", + "Minimal eigen value: 0.582550713260004\n", + "Eigen values: [8.18433621e+02 2.63905156e+02 5.82550713e-01 1.68237557e+00]\n", + "Eigen vectors: [[ 0.04663765 -0.32121979 -0.76862987 0.55122672]\n", + " [ 0.18009867 0.01422632 0.57647713 0.79689159]\n", + " [-0.11785344 0.93846161 -0.25826985 0.19671566]\n", + " [-0.9754486 -0.12611605 0.10089067 0.14971924]]\n", + "This is the 33 run out of 81 run.\n", + "The code has run 47.6555 seconds.\n", + "Estimated remaining time: 69.3172 seconds\n", + "=======This is the 34 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.62468012 6.03423925 -83.21111217 -25.89910476]\n", + " [ 6.03423925 27.44591324 -13.38742029 -142.36646178]\n", + " [ -83.21111217 -13.38742029 242.7612013 61.68774912]\n", + " [ -25.89910476 -142.36646178 61.68774912 776.68627174]]\n", + "Trace: 1076.5180664020631\n", + "Determinant: 202415.6569987658\n", + "Condition number: 1436.3383702542444\n", + "Minimal eigen value: 0.5649710487513734\n", + "Eigen values: [8.11489595e+02 2.62783393e+02 5.64971049e-01 1.68010737e+00]\n", + "Eigen vectors: [[ 0.04613685 -0.32078757 -0.76226121 0.56028973]\n", + " [ 0.17951788 0.01397906 0.58580552 0.79019606]\n", + " [-0.11680698 0.93876493 -0.25557325 0.19939622]\n", + " [-0.97570531 -0.12498131 0.10233312 0.1480093 ]]\n", + "This is the 34 run out of 81 run.\n", + "The code has run 49.0555 seconds.\n", + "Estimated remaining time: 67.8120 seconds\n", + "=======This is the 35 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.43678553 5.91568643 -82.82731586 -25.4247697 ]\n", + " [ 5.91568643 27.12250039 -13.14226256 -141.22550217]\n", + " [ -82.82731586 -13.14226256 242.03210867 60.78028635]\n", + " [ -25.4247697 -141.22550217 60.78028635 772.78415647]]\n", + "Trace: 1071.375551053092\n", + "Determinant: 191937.53934280388\n", + "Condition number: 1471.700117663225\n", + "Minimal eigen value: 0.5484060967518005\n", + "Eigen values: [8.07089317e+02 2.62083213e+02 5.48406097e-01 1.65461457e+00]\n", + "Eigen vectors: [[ 0.04560588 -0.32042744 -0.75599497 0.56896218]\n", + " [ 0.17900731 0.01386541 0.59469481 0.78364674]\n", + " [-0.11582536 0.93903609 -0.25305826 0.20188421]\n", + " [-0.97594107 -0.12387588 0.10378441 0.14636459]]\n", + "This is the 35 run out of 81 run.\n", + "The code has run 50.5967 seconds.\n", + "Estimated remaining time: 66.4985 seconds\n", + "=======This is the 36 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 29.27608182 5.79252557 -82.53468084 -25.00628352]\n", + " [ 5.79252557 26.86940689 -12.92596997 -140.42933771]\n", + " [ -82.53468084 -12.92596997 241.52898456 60.07708813]\n", + " [ -25.00628352 -140.42933771 60.07708813 770.33090596]]\n", + "Trace: 1068.0053792314388\n", + "Determinant: 181450.69474203617\n", + "Condition number: 1501.9556383407423\n", + "Minimal eigen value: 0.5354684063529392\n", + "Eigen values: [8.04249792e+02 2.61609546e+02 5.35468406e-01 1.61057235e+00]\n", + "Eigen vectors: [[ 0.04507237 -0.32010675 -0.75122833 0.57546168]\n", + " [ 0.17858271 0.01386172 0.60130267 0.77868554]\n", + " [-0.11492843 0.93928256 -0.25117499 0.20359482]\n", + " [-0.97614966 -0.12283237 0.10489146 0.14505804]]\n", + "This is the 36 run out of 81 run.\n", + "The code has run 52.1867 seconds.\n", + "Estimated remaining time: 65.2334 seconds\n", + "=======This is the 37 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.78887004 6.07511496 -107.02247647 -28.02099618]\n", + " [ 6.07511496 32.92473073 -14.48411404 -178.54397808]\n", + " [-107.02247647 -14.48411404 319.30033573 71.22701223]\n", + " [ -28.02099618 -178.54397808 71.22701223 1004.35766813]]\n", + "Trace: 1393.3716046215663\n", + "Determinant: 259404.79249873152\n", + "Condition number: 2117.757640376852\n", + "Minimal eigen value: 0.49343292348975076\n", + "Eigen values: [1.04497134e+03 3.46454720e+02 4.93432923e-01 1.45210830e+00]\n", + "Eigen vectors: [[ 0.0394186 -0.31528763 -0.77789543 0.54214258]\n", + " [ 0.17432484 0.0139462 0.56510132 0.80627343]\n", + " [-0.10531109 0.94230095 -0.25714335 0.18669704]\n", + " [-0.9782467 -0.11166076 0.09703861 0.14542622]]\n", + "This is the 37 run out of 81 run.\n", + "The code has run 53.4048 seconds.\n", + "Estimated remaining time: 63.5084 seconds\n", + "=======This is the 38 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.47332719 8.27470828 -97.22204231 -38.8234079 ]\n", + " [ 8.27470828 37.56171186 -20.06730529 -196.9055002 ]\n", + " [ -97.22204231 -20.06730529 281.84658528 98.31564105]\n", + " [ -38.8234079 -196.9055002 98.31564105 1065.42753969]]\n", + "Trace: 1419.3091640169005\n", + "Determinant: 248947.0165905633\n", + "Condition number: 2121.25846562084\n", + "Minimal eigen value: 0.5262832514343758\n", + "Eigen values: [1.11638280e+03 3.00992350e+02 5.26283251e-01 1.40772810e+00]\n", + "Eigen vectors: [[ 0.04755314 -0.32206577 -0.77580529 0.54049837]\n", + " [ 0.18054388 0.0174534 0.56472719 0.80509781]\n", + " [-0.1246826 0.9372505 -0.26292016 0.19206442]\n", + " [-0.9744726 -0.13240286 0.10041086 0.15096452]]\n", + "This is the 38 run out of 81 run.\n", + "The code has run 54.7050 seconds.\n", + "Estimated remaining time: 61.9030 seconds\n", + "=======This is the 39 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.82491387 7.82520522 -91.43172903 -34.93976104]\n", + " [ 7.82520522 34.18190578 -18.06004783 -174.4058766 ]\n", + " [ -91.43172903 -18.06004783 263.13353122 84.29020596]\n", + " [ -34.93976104 -174.4058766 84.29020596 926.35977707]]\n", + "Trace: 1256.5001279448131\n", + "Determinant: 263402.56815271225\n", + "Condition number: 1602.2755769906482\n", + "Minimal eigen value: 0.6066922513316659\n", + "Eigen values: [9.72088177e+02 2.82222721e+02 6.06692251e-01 1.58253717e+00]\n", + "Eigen vectors: [[ 0.05009398 -0.32372401 -0.78629932 0.52385755]\n", + " [ 0.18387427 0.01689333 0.54820737 0.81570432]\n", + " [-0.12688016 0.93624622 -0.26759042 0.18904978]\n", + " [-0.97343838 -0.13550056 0.09796643 0.15639663]]\n", + "This is the 39 run out of 81 run.\n", + "The code has run 56.0687 seconds.\n", + "Estimated remaining time: 60.3817 seconds\n", + "=======This is the 40 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.66256554 7.10609412 -87.93847517 -30.83485889]\n", + " [ 7.10609412 31.02860775 -15.93844213 -157.81705407]\n", + " [ -87.93847517 -15.93844213 253.35355014 72.92161876]\n", + " [ -30.83485889 -157.81705407 72.92161876 841.966926 ]]\n", + "Trace: 1158.0116494264157\n", + "Determinant: 265767.57867752825\n", + "Condition number: 1373.6079632065182\n", + "Minimal eigen value: 0.6425068540890994\n", + "Eigen values: [8.82552531e+02 2.73100438e+02 6.42506854e-01 1.71617383e+00]\n", + "Eigen vectors: [[ 0.04968492 -0.32366053 -0.78237349 0.52978014]\n", + " [ 0.18324022 0.01570183 0.55464809 0.81150599]\n", + " [-0.12445593 0.9366119 -0.26566125 0.19155411]\n", + " [-0.97389176 -0.13324966 0.09839367 0.1552355 ]]\n", + "This is the 40 run out of 81 run.\n", + "The code has run 57.5284 seconds.\n", + "Estimated remaining time: 58.9666 seconds\n", + "=======This is the 41 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.89275008 6.69847439 -85.87819175 -28.67837266]\n", + " [ 6.69847439 29.40126677 -14.82387115 -150.06917871]\n", + " [ -85.87819175 -14.82387115 248.210254 67.4716929 ]\n", + " [ -28.67837266 -150.06917871 67.4716929 806.45237096]]\n", + "Trace: 1114.9566418120737\n", + "Determinant: 259295.44468122924\n", + "Condition number: 1312.5340626707155\n", + "Minimal eigen value: 0.6433044742163505\n", + "Eigen values: [8.44359035e+02 2.68174245e+02 6.43304474e-01 1.78005776e+00]\n", + "Eigen vectors: [[ 0.04871693 -0.32300943 -0.77416724 0.5421777 ]\n", + " [ 0.18206305 0.0148089 0.56753176 0.80283338]\n", + " [-0.12183745 0.93722982 -0.26183895 0.19543866]\n", + " [-0.97449235 -0.13055984 0.10006575 0.15266182]]\n", + "This is the 41 run out of 81 run.\n", + "The code has run 58.9428 seconds.\n", + "Estimated remaining time: 57.5051 seconds\n", + "=======This is the 42 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.38804002 6.47339817 -84.6433584 -27.51462402]\n", + " [ 6.47339817 28.50074425 -14.22239317 -146.12156994]\n", + " [ -84.6433584 -14.22239317 245.40590932 64.70096808]\n", + " [ -27.51462402 -146.12156994 64.70096808 789.89961054]]\n", + "Trace: 1094.1943041272043\n", + "Determinant: 247750.52298677372\n", + "Condition number: 1322.1585481935238\n", + "Minimal eigen value: 0.6250051674349029\n", + "Eigen values: [8.26355925e+02 2.65405979e+02 6.25005167e-01 1.80739520e+00]\n", + "Eigen vectors: [[ 0.04793455 -0.32228847 -0.76606069 0.55406086]\n", + " [ 0.18108178 0.01423008 0.57979722 0.79425567]\n", + " [-0.11999735 0.93775464 -0.2581166 0.19897912]\n", + " [-0.97494221 -0.12862302 0.10179398 0.15027242]]\n", + "This is the 42 run out of 81 run.\n", + "The code has run 60.5309 seconds.\n", + "Estimated remaining time: 56.2073 seconds\n", + "=======This is the 43 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.04081103 6.30780567 -83.85983328 -26.72425063]\n", + " [ 6.30780567 27.90200091 -13.81389272 -143.74213782]\n", + " [ -83.85983328 -13.81389272 243.77251546 62.97409839]\n", + " [ -26.72425063 -143.74213782 62.97409839 780.83565947]]\n", + "Trace: 1082.5509868629858\n", + "Determinant: 233249.44652323253\n", + "Condition number: 1361.1345665049146\n", + "Minimal eigen value: 0.5997577130991854\n", + "Eigen values: [8.16350955e+02 2.63794338e+02 5.99757713e-01 1.80593621e+00]\n", + "Eigen vectors: [[ 0.04723544 -0.32167879 -0.7576378 0.5659298 ]\n", + " [ 0.18026288 0.01386971 0.5920096 0.78539006]\n", + " [-0.11853461 0.93818523 -0.25448998 0.20246697]\n", + " [-0.97530695 -0.12703884 0.10365545 0.14796293]]\n", + "This is the 43 run out of 81 run.\n", + "The code has run 61.9741 seconds.\n", + "Estimated remaining time: 54.7679 seconds\n", + "=======This is the 44 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.77024282 6.13708961 -83.3071666 -26.04120816]\n", + " [ 6.13708961 27.4362864 -13.46086559 -142.09915598]\n", + " [ -83.3071666 -13.46086559 242.72262207 61.667352 ]\n", + " [ -26.04120816 -142.09915598 61.667352 775.21661348]]\n", + "Trace: 1075.1457647738398\n", + "Determinant: 216995.60713203996\n", + "Condition number: 1407.0534066169535\n", + "Minimal eigen value: 0.5756785168357853\n", + "Eigen values: [8.10010418e+02 2.62788852e+02 5.75678517e-01 1.77081575e+00]\n", + "Eigen vectors: [[ 0.04648282 -0.32116876 -0.74915178 0.57746133]\n", + " [ 0.17953631 0.01370117 0.60382111 0.77651727]\n", + " [-0.11714427 0.93857304 -0.25105296 0.20574324]\n", + " [-0.97564506 -0.12547332 0.10556558 0.145702 ]]\n", + "This is the 44 run out of 81 run.\n", + "The code has run 63.5075 seconds.\n", + "Estimated remaining time: 53.4041 seconds\n", + "=======This is the 45 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 29.53882947 5.95973797 -82.88577216 -25.43858804]\n", + " [ 5.95973797 27.07183176 -13.14940425 -140.95267917]\n", + " [ -82.88577216 -13.14940425 241.99812336 60.65474656]\n", + " [ -25.43858804 -140.95267917 60.65474656 771.68393275]]\n", + "Trace: 1070.2927173390817\n", + "Determinant: 200944.16798299024\n", + "Condition number: 1447.57068462181\n", + "Minimal eigen value: 0.5567387556544536\n", + "Eigen values: [8.05918702e+02 2.62108634e+02 5.56738756e-01 1.70864323e+00]\n", + "Eigen vectors: [[ 0.04572056 -0.32071284 -0.7423529 0.58648536]\n", + " [ 0.17892883 0.01369196 0.61299069 0.76944098]\n", + " [-0.11586404 0.93892699 -0.24836575 0.20810115]\n", + " [-0.9759455 -0.12398352 0.10709366 0.14383813]]\n", + "This is the 45 run out of 81 run.\n", + "The code has run 65.0187 seconds.\n", + "Estimated remaining time: 52.0149 seconds\n", + "=======This is the 46 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 39.7174602 6.31439353 -116.15343469 -29.4644378 ]\n", + " [ 6.31439353 35.27750697 -15.23015127 -192.73710824]\n", + " [-116.15343469 -15.23015127 347.76946028 75.72746206]\n", + " [ -29.4644378 -192.73710824 75.72746206 1089.97777089]]\n", + "Trace: 1512.7421983402073\n", + "Determinant: 311399.09067781235\n", + "Condition number: 2286.542819651653\n", + "Minimal eigen value: 0.4956344365813532\n", + "Eigen values: [1.13328936e+03 3.77488576e+02 4.95634437e-01 1.46862610e+00]\n", + "Eigen vectors: [[ 0.03835004 -0.31442127 -0.77828842 0.54215835]\n", + " [ 0.17344009 0.01388478 0.56484731 0.80664321]\n", + " [-0.10337977 0.94284961 -0.25663367 0.18570512]\n", + " [-0.97865236 -0.10945814 0.09671514 0.14458445]]\n", + "This is the 46 run out of 81 run.\n", + "The code has run 66.1612 seconds.\n", + "Estimated remaining time: 50.3400 seconds\n", + "=======This is the 47 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.5657491 9.30828444 -102.81395486 -44.16772042]\n", + " [ 9.30828444 41.58895351 -22.82949492 -217.72918002]\n", + " [-102.81395486 -22.82949492 296.7907444 112.59809575]\n", + " [ -44.16772042 -217.72918002 112.59809575 1173.10065161]]\n", + "Trace: 1548.0460986209075\n", + "Determinant: 295280.74015585403\n", + "Condition number: 2286.0181487108425\n", + "Minimal eigen value: 0.5382748263648286\n", + "Eigen values: [1.23050602e+03 3.15589182e+02 5.38274826e-01 1.41261951e+00]\n", + "Eigen vectors: [[ 0.04839818 -0.32310756 -0.77521185 0.54065303]\n", + " [ 0.18118963 0.01825265 0.56496884 0.80476541]\n", + " [-0.12721352 0.93650897 -0.26390515 0.19267003]\n", + " [-0.97398391 -0.13497885 0.10104885 0.15141065]]\n", + "This is the 47 run out of 81 run.\n", + "The code has run 67.3234 seconds.\n", + "Estimated remaining time: 48.7020 seconds\n", + "=======This is the 48 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.3220754 8.6964608 -94.93269507 -38.88164545]\n", + " [ 8.6964608 36.98866185 -20.09739441 -187.10469208]\n", + " [ -94.93269507 -20.09739441 271.32019844 93.50791985]\n", + " [ -38.88164545 -187.10469208 93.50791985 983.8139735 ]]\n", + "Trace: 1326.444909189725\n", + "Determinant: 317057.5521865532\n", + "Condition number: 1601.7324036106527\n", + "Minimal eigen value: 0.6456385390230688\n", + "Eigen values: [1.03414017e+03 2.90021762e+02 6.45638539e-01 1.63733921e+00]\n", + "Eigen vectors: [[ 0.05183111 -0.32535143 -0.78785307 0.52033406]\n", + " [ 0.18556983 0.01769387 0.5448494 0.81755116]\n", + " [-0.13055514 0.93508071 -0.26978738 0.18919354]\n", + " [-0.97253932 -0.13948996 0.09819083 0.15832998]]\n", + "This is the 48 run out of 81 run.\n", + "The code has run 68.7125 seconds.\n", + "Estimated remaining time: 47.2399 seconds\n", + "=======This is the 49 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.73999019 7.71767073 -90.17798848 -33.29441763]\n", + " [ 7.71767073 32.69667292 -17.20965341 -164.52546167]\n", + " [ -90.17798848 -17.20965341 258.00855769 78.03400986]\n", + " [ -33.29441763 -164.52546167 78.03400986 868.9459274 ]]\n", + "Trace: 1192.3911481973423\n", + "Determinant: 320838.015192606\n", + "Condition number: 1310.4792317939582\n", + "Minimal eigen value: 0.6961225904499246\n", + "Eigen values: [9.12254198e+02 2.77620993e+02 6.96122590e-01 1.81983460e+00]\n", + "Eigen vectors: [[ 0.05158354 -0.32531066 -0.78337796 0.52709685]\n", + " [ 0.18496272 0.01621672 0.55228293 0.81271728]\n", + " [-0.12802873 0.93545287 -0.26752463 0.1922684 ]\n", + " [-0.97300389 -0.13725128 0.09865653 0.15713815]]\n", + "This is the 49 run out of 81 run.\n", + "The code has run 70.4226 seconds.\n", + "Estimated remaining time: 45.9903 seconds\n", + "=======This is the 50 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.69218581 7.16285497 -87.37371372 -30.35920012]\n", + " [ 7.16285497 30.48168103 -15.69259823 -153.97974222]\n", + " [ -87.37371372 -15.69259823 251.00795977 70.61605418]\n", + " [ -30.35920012 -153.97974222 70.61605418 820.60667033]]\n", + "Trace: 1133.7884969451964\n", + "Determinant: 311236.03090905806\n", + "Condition number: 1231.0552044357423\n", + "Minimal eigen value: 0.6987885964935451\n", + "Eigen values: [8.60247339e+02 2.70931367e+02 6.98788596e-01 1.91100329e+00]\n", + "Eigen vectors: [[ 0.05042917 -0.32447447 -0.77341286 0.54222298]\n", + " [ 0.18349645 0.01503459 0.5680281 0.80215154]\n", + " [-0.12482559 0.93623603 -0.26275902 0.19707452]\n", + " [-0.97375794 -0.13398648 0.10066939 0.15397653]]\n", + "This is the 50 run out of 81 run.\n", + "The code has run 71.7874 seconds.\n", + "Estimated remaining time: 44.5082 seconds\n", + "=======This is the 51 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.00521934 6.85650123 -85.69296843 -28.77520902]\n", + " [ 6.85650123 29.25596982 -14.8739201 -148.60660828]\n", + " [ -85.69296843 -14.8739201 247.19093546 66.84479086]\n", + " [ -28.77520902 -148.60660828 66.84479086 798.07652584]]\n", + "Trace: 1105.528650449711\n", + "Determinant: 294005.94852919155\n", + "Condition number: 1238.6960115595953\n", + "Minimal eigen value: 0.6746854263913779\n", + "Eigen values: [8.35730147e+02 2.67172188e+02 6.74685426e-01 1.95162994e+00]\n", + "Eigen vectors: [[ 0.0494343 -0.3235256 -0.76345123 0.55680307]\n", + " [ 0.1822192 0.01424747 0.58308316 0.79158525]\n", + " [-0.12246692 0.93692714 -0.25806772 0.20142105]\n", + " [-0.97434812 -0.13151324 0.10274873 0.15097251]]\n", + "This is the 51 run out of 81 run.\n", + "The code has run 73.2949 seconds.\n", + "Estimated remaining time: 43.1147 seconds\n", + "=======This is the 52 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.5326021 6.63111144 -84.62650368 -27.69942302]\n", + " [ 6.63111144 28.44101361 -14.31790559 -145.36793678]\n", + " [ -84.62650368 -14.31790559 244.96770492 64.49432934]\n", + " [ -27.69942302 -145.36793678 64.49432934 785.73948133]]\n", + "Trace: 1089.6808019535226\n", + "Determinant: 272410.99410904915\n", + "Condition number: 1283.5532630981627\n", + "Minimal eigen value: 0.6404904869131023\n", + "Eigen values: [8.22103654e+02 2.64984273e+02 6.40490487e-01 1.95238413e+00]\n", + "Eigen vectors: [[ 0.04851718 -0.32271544 -0.7530089 0.57138291]\n", + " [ 0.18113193 0.01375058 0.59808001 0.78057827]\n", + " [-0.12054473 0.93750324 -0.25348335 0.20567651]\n", + " [-0.97483654 -0.12943468 0.10499566 0.14804156]]\n", + "This is the 52 run out of 81 run.\n", + "The code has run 74.7462 seconds.\n", + "Estimated remaining time: 41.6854 seconds\n", + "=======This is the 53 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.16432871 6.39874791 -83.87426292 -26.76972632]\n", + " [ 6.39874791 27.80712441 -13.83739643 -143.13165594]\n", + " [ -83.87426292 -13.83739643 243.53868336 62.71570231]\n", + " [ -26.76972632 -143.13165594 62.71570231 778.0913354 ]]\n", + "Trace: 1079.601471888402\n", + "Determinant: 248413.1467302102\n", + "Condition number: 1339.1644113924633\n", + "Minimal eigen value: 0.6074436903249106\n", + "Eigen values: [8.13466972e+02 2.63620058e+02 6.07443690e-01 1.90699772e+00]\n", + "Eigen vectors: [[ 0.04751176 -0.32203464 -0.74224154 0.58575918]\n", + " [ 0.18015667 0.01351365 0.61279354 0.76931466]\n", + " [-0.11868894 0.93802677 -0.24907421 0.20971589]\n", + " [-0.97529439 -0.12734541 0.10734809 0.14512199]]\n", + "This is the 53 run out of 81 run.\n", + "The code has run 76.1592 seconds.\n", + "Estimated remaining time: 40.2351 seconds\n", + "=======This is the 54 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 29.84934945 6.15735264 -83.3006983 -25.94949342]\n", + " [ 6.15735264 27.31106116 -13.41346297 -141.57117361]\n", + " [ -83.3006983 -13.41346297 242.55256015 61.33743382]\n", + " [ -25.94949342 -141.57117361 61.33743382 773.28296441]]\n", + "Trace: 1072.9959351710581\n", + "Determinant: 225036.58533753204\n", + "Condition number: 1389.9708943774162\n", + "Minimal eigen value: 0.5812303281681005\n", + "Eigen values: [8.07893239e+02 2.62697169e+02 5.81230328e-01 1.82429680e+00]\n", + "Eigen vectors: [[ 0.04648384 -0.32142336 -0.73317849 0.59747433]\n", + " [ 0.17933613 0.01349496 0.6246889 0.75988172]\n", + " [-0.11696451 0.93850693 -0.24548481 0.21274692]\n", + " [-0.97570339 -0.12533816 0.10931739 0.14262871]]\n", + "This is the 54 run out of 81 run.\n", + "The code has run 77.5789 seconds.\n", + "Estimated remaining time: 38.7895 seconds\n", + "=======This is the 55 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 43.09660269 6.59048419 -126.68915571 -31.12994736]\n", + " [ 6.59048419 37.99224879 -16.09096346 -209.11379689]\n", + " [-126.68915571 -16.09096346 380.61845015 80.9202888 ]\n", + " [ -31.12994736 -209.11379689 80.9202888 1188.77019715]]\n", + "Trace: 1650.4774987836786\n", + "Determinant: 377289.9144015313\n", + "Condition number: 2481.533158401581\n", + "Minimal eigen value: 0.4977587555583983\n", + "Eigen values: [1.23520486e+03 4.13290103e+02 4.97758756e-01 1.48478063e+00]\n", + "Eigen vectors: [[ 0.03730531 -0.3135781 -0.77866613 0.54217722]\n", + " [ 0.1725762 0.01383184 0.56460354 0.80699999]\n", + " [-0.10148488 0.9433793 -0.25614111 0.18473777]\n", + " [-0.97904371 -0.10729839 0.09640345 0.14375966]]\n", + "This is the 55 run out of 81 run.\n", + "The code has run 78.6638 seconds.\n", + "Estimated remaining time: 37.1865 seconds\n", + "=======This is the 56 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 38.98008208 10.50087231 -109.26616165 -50.33423487]\n", + " [ 10.50087231 46.2357708 -26.0166368 -241.75650289]\n", + " [-109.26616165 -26.0166368 314.03400492 129.07785117]\n", + " [ -50.33423487 -241.75650289 129.07785117 1297.33885768]]\n", + "Trace: 1696.588715479351\n", + "Determinant: 353397.8312879253\n", + "Condition number: 2473.8645149810354\n", + "Minimal eigen value: 0.5506368680154294\n", + "Eigen values: [1.36220101e+03 3.32419741e+02 5.50636868e-01 1.41732872e+00]\n", + "Eigen vectors: [[ 0.04917049 -0.32421068 -0.77441886 0.54105926]\n", + " [ 0.18180006 0.01903732 0.56547639 0.80425292]\n", + " [-0.12952444 0.93577129 -0.26488389 0.19337021]\n", + " [-0.9735268 -0.1373212 0.10172706 0.15178957]]\n", + "This is the 56 run out of 81 run.\n", + "The code has run 79.8626 seconds.\n", + "Estimated remaining time: 35.6529 seconds\n", + "=======This is the 57 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.04956949 9.70175573 -98.97227132 -43.42997368]\n", + " [ 9.70175573 40.22722663 -22.44817902 -201.75717188]\n", + " [ -98.97227132 -22.44817902 280.76635309 104.14374396]\n", + " [ -43.42997368 -201.75717188 104.14374396 1050.10727896]]\n", + "Trace: 1407.150428173226\n", + "Determinant: 385007.66008115205\n", + "Condition number: 1607.7050261633747\n", + "Minimal eigen value: 0.6877958792213302\n", + "Eigen values: [1.10577289e+03 2.98996660e+02 6.87795879e-01 1.69308018e+00]\n", + "Eigen vectors: [[ 0.05355966 -0.32712622 -0.78888975 0.51746764]\n", + " [ 0.18728768 0.01854209 0.54218599 0.81891017]\n", + " [-0.13417312 0.93385046 -0.27197264 0.18960955]\n", + " [-0.97162352 -0.14341531 0.09858088 0.16019237]]\n", + "This is the 57 run out of 81 run.\n", + "The code has run 81.1225 seconds.\n", + "Estimated remaining time: 34.1568 seconds\n", + "=======This is the 58 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 33.98317248 8.42333604 -92.76204231 -36.13237 ]\n", + " [ 8.42333604 34.62136349 -18.67643566 -172.26593198]\n", + " [ -92.76204231 -18.67643566 263.37972026 83.93292272]\n", + " [ -36.13237 -172.26593198 83.93292272 900.07554444]]\n", + "Trace: 1232.0598006660607\n", + "Determinant: 390791.50345847104\n", + "Condition number: 1252.164170768648\n", + "Minimal eigen value: 0.755936785366837\n", + "Eigen values: [9.46556958e+02 2.82815786e+02 7.55936785e-01 1.93111988e+00]\n", + "Eigen vectors: [[ 0.0536091 -0.32713615 -0.78407605 0.52472159]\n", + " [ 0.18681353 0.0168036 0.55027211 0.81364547]\n", + " [-0.13180724 0.93417415 -0.2694697 0.19321382]\n", + " [-0.97203581 -0.14148579 0.09905265 0.1591123 ]]\n", + "This is the 58 run out of 81 run.\n", + "The code has run 82.4040 seconds.\n", + "Estimated remaining time: 32.6774 seconds\n", + "=======This is the 59 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.61461165 7.69867872 -89.0993162 -32.29861664]\n", + " [ 7.69867872 31.72831286 -16.6949761 -158.49193134]\n", + " [ -89.0993162 -16.6949761 254.23608263 74.24416551]\n", + " [ -32.29861664 -158.49193134 74.24416551 836.93855774]]\n", + "Trace: 1155.517564889954\n", + "Determinant: 377055.4844963731\n", + "Condition number: 1153.56396067208\n", + "Minimal eigen value: 0.7616413010273266\n", + "Eigen values: [8.78601956e+02 2.74098284e+02 7.61641301e-01 2.05568371e+00]\n", + "Eigen vectors: [[ 0.05232178 -0.32611304 -0.77255089 0.54228945]\n", + " [ 0.18508459 0.0153093 0.56859711 0.80137797]\n", + " [-0.12810799 0.93511485 -0.2637982 0.1988946 ]\n", + " [-0.97293087 -0.13775386 0.10135559 0.15542345]]\n", + "This is the 59 run out of 81 run.\n", + "The code has run 83.7134 seconds.\n", + "Estimated remaining time: 31.2152 seconds\n", + "=======This is the 60 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.71734916 7.29854327 -86.90405671 -30.22973035]\n", + " [ 7.29854327 30.12738394 -15.62568199 -151.47396021]\n", + " [ -86.90405671 -15.62568199 249.25058073 69.31843272]\n", + " [ -30.22973035 -151.47396021 69.31843272 807.51142812]]\n", + "Trace: 1118.606741960431\n", + "Determinant: 352265.93053194525\n", + "Condition number: 1157.5019448123237\n", + "Minimal eigen value: 0.731369368906729\n", + "Eigen values: [8.46561467e+02 2.69200418e+02 7.31369369e-01 2.11348733e+00]\n", + "Eigen vectors: [[ 0.05112181 -0.32491964 -0.76087976 0.55935299]\n", + " [ 0.18349975 0.01428386 0.58622697 0.78896245]\n", + " [-0.12523328 0.93598322 -0.25814533 0.2039927 ]\n", + " [-0.97366885 -0.13475387 0.10373479 0.15182048]]\n", + "This is the 60 run out of 81 run.\n", + "The code has run 85.0550 seconds.\n", + "Estimated remaining time: 29.7693 seconds\n", + "=======This is the 61 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.10005334 7.00415656 -85.51112338 -28.82462182]\n", + " [ 7.00415656 29.06295134 -14.8994589 -147.24385858]\n", + " [ -85.51112338 -14.8994589 246.34676968 66.2484418 ]\n", + " [ -28.82462182 -147.24385858 66.2484418 791.39773689]]\n", + "Trace: 1097.9075112415553\n", + "Determinant: 321261.1072732417\n", + "Condition number: 1206.2607176796919\n", + "Minimal eigen value: 0.6870415207970759\n", + "Eigen values: [8.28751198e+02 2.66350926e+02 6.87041521e-01 2.11834546e+00]\n", + "Eigen vectors: [[ 0.04997416 -0.32388984 -0.74853205 0.57645271]\n", + " [ 0.18211958 0.01362624 0.60381088 0.77592474]\n", + " [-0.12282242 0.93672065 -0.25260425 0.20895014]\n", + " [-0.97429446 -0.13215185 0.10631692 0.14826634]]\n", + "This is the 61 run out of 81 run.\n", + "The code has run 86.5620 seconds.\n", + "Estimated remaining time: 28.3810 seconds\n", + "=======This is the 62 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.61904319 6.70066134 -84.52860483 -27.6103242 ]\n", + " [ 6.70066134 28.23501444 -14.27185511 -144.32300206]\n", + " [ -84.52860483 -14.27185511 244.48029255 63.92533729]\n", + " [ -27.6103242 -144.32300206 63.92533729 781.40832224]]\n", + "Trace: 1084.742672417322\n", + "Determinant: 287091.8887813455\n", + "Condition number: 1270.1548612113952\n", + "Minimal eigen value: 0.6435916597485087\n", + "Eigen values: [8.17461075e+02 2.64575506e+02 6.43591660e-01 2.06249924e+00]\n", + "Eigen vectors: [[ 0.04868907 -0.3230202 -0.73551595 0.59355169]\n", + " [ 0.18086605 0.01330593 0.62129568 0.76230054]\n", + " [-0.12045256 0.93739782 -0.24720548 0.21369594]\n", + " [-0.97488873 -0.12948445 0.10907526 0.14466629]]\n", + "This is the 62 run out of 81 run.\n", + "The code has run 87.9812 seconds.\n", + "Estimated remaining time: 26.9620 seconds\n", + "=======This is the 63 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 30.20764168 6.38536954 -83.77945916 -26.53899956]\n", + " [ 6.38536954 27.58709508 -13.71814607 -142.28482105]\n", + " [ -83.77945916 -13.71814607 243.19229482 62.12514983]\n", + " [ -26.53899956 -142.28482105 62.12514983 775.12800093]]\n", + "Trace: 1076.1150325176336\n", + "Determinant: 254255.2773071438\n", + "Condition number: 1330.7789521030636\n", + "Minimal eigen value: 0.608797184781677\n", + "Eigen values: [8.10174480e+02 2.63374511e+02 6.08797185e-01 1.95724431e+00]\n", + "Eigen vectors: [[ 0.04736083 -0.32223551 -0.724051 0.60800607]\n", + " [ 0.17980376 0.01327246 0.63595878 0.75036716]\n", + " [-0.11822723 0.93802249 -0.24264785 0.2173894 ]\n", + " [-0.97542293 -0.12689337 0.11148365 0.14149058]]\n", + "This is the 63 run out of 81 run.\n", + "The code has run 89.5170 seconds.\n", + "Estimated remaining time: 25.5763 seconds\n", + "=======This is the 64 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 46.92629751 6.90338693 -138.62963954 -33.01752486]\n", + " [ 6.90338693 41.06895619 -17.06655062 -227.67404402]\n", + " [-138.62963954 -17.06655062 417.84730534 86.80549243]\n", + " [ -33.01752486 -227.67404402 86.80549243 1300.73494691]]\n", + "Trace: 1806.5775059519992\n", + "Determinant: 459604.7219933394\n", + "Condition number: 2702.7543876920536\n", + "Minimal eigen value: 0.4997565607094312\n", + "Eigen values: [1.35071924e+03 4.53858342e+02 4.99756561e-01 1.50017033e+00]\n", + "Eigen vectors: [[-0.03631039 0.31277851 -0.77902003 0.54219825]\n", + " [-0.17175452 -0.01378792 0.56437548 0.80733549]\n", + " [ 0.09967419 -0.94387759 -0.25567722 0.18381867]\n", + " [ 0.97941156 0.10523585 0.0961107 0.14297255]]\n", + "This is the 64 run out of 81 run.\n", + "The code has run 90.5978 seconds.\n", + "Estimated remaining time: 24.0650 seconds\n", + "=======This is the 65 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 41.71632611 11.8524719 -116.57866267 -57.32295124]\n", + " [ 11.8524719 51.50216373 -29.62873093 -268.98746881]\n", + " [-116.57866267 -29.62873093 333.57636684 147.7549073 ]\n", + " [ -57.32295124 -268.98746881 147.7549073 1438.14215791]]\n", + "Trace: 1864.93701458946\n", + "Determinant: 425293.33387179556\n", + "Condition number: 2684.360803602728\n", + "Minimal eigen value: 0.5630645637492117\n", + "Eigen values: [1.51146844e+03 3.51483746e+02 5.63064564e-01 1.42175920e+00]\n", + "Eigen vectors: [[ 0.04986108 -0.3253461 -0.7734496 0.54170057]\n", + " [ 0.18236313 0.01979238 0.5662309 0.80357608]\n", + " [-0.13158898 0.9350533 -0.26583167 0.19414733]\n", + " [-0.9731094 -0.13940407 0.10242952 0.15209469]]\n", + "This is the 65 run out of 81 run.\n", + "The code has run 91.6918 seconds.\n", + "Estimated remaining time: 22.5703 seconds\n", + "=======This is the 66 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 38.00739612 10.84108997 -103.55045697 -48.58474746]\n", + " [ 10.84108997 43.89759997 -25.11239917 -218.36331941]\n", + " [-103.55045697 -25.11239917 291.47199138 116.19767124]\n", + " [ -48.58474746 -218.36331941 116.19767124 1125.23972746]]\n", + "Trace: 1498.6167149344094\n", + "Determinant: 469841.6247280835\n", + "Condition number: 1620.7512957765398\n", + "Minimal eigen value: 0.7323714028597419\n", + "Eigen values: [1.18699190e+03 3.09144162e+02 7.32371403e-01 1.74828128e+00]\n", + "Eigen vectors: [[ 0.05523448 -0.32901628 -0.78936724 0.51536085]\n", + " [ 0.18898188 0.01942047 0.54031673 0.81973564]\n", + " [-0.13764106 0.93258287 -0.27409578 0.19030404]\n", + " [-0.9707162 -0.14717445 0.0991398 0.16192912]]\n", + "This is the 66 run out of 81 run.\n", + "The code has run 92.9314 seconds.\n", + "Estimated remaining time: 21.1208 seconds\n", + "=======This is the 67 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 35.39211234 9.22308995 -95.69063657 -39.3487156 ]\n", + " [ 9.22308995 36.80267948 -20.33878885 -181.038465 ]\n", + " [ -95.69063657 -20.33878885 269.4670378 90.6183572 ]\n", + " [ -39.3487156 -181.038465 90.6183572 935.35577706]]\n", + "Trace: 1277.017606694349\n", + "Determinant: 478375.47935399483\n", + "Condition number: 1199.9989788371267\n", + "Minimal eigen value: 0.8212252566049608\n", + "Eigen values: [9.85469469e+02 2.88679300e+02 8.21225257e-01 2.04761261e+00]\n", + "Eigen vectors: [[ 0.05571542 -0.32911178 -0.7844296 0.52273457]\n", + " [ 0.18875266 0.01745765 0.54869009 0.81425232]\n", + " [-0.13569991 0.93279596 -0.27146248 0.19438454]\n", + " [-0.97100657 -0.14585045 0.09958669 0.16110983]]\n", + "This is the 67 run out of 81 run.\n", + "The code has run 94.2497 seconds.\n", + "Estimated remaining time: 19.6940 seconds\n", + "=======This is the 68 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 33.66002761 8.30594564 -91.05499891 -34.49662194]\n", + " [ 8.30594564 33.14116228 -17.83100411 -163.60574544]\n", + " [ -91.05499891 -17.83100411 257.89462145 78.35602391]\n", + " [ -34.49662194 -163.60574544 78.35602391 855.44802828]]\n", + "Trace: 1180.143839623319\n", + "Determinant: 459277.25895758584\n", + "Condition number: 1081.8197040357716\n", + "Minimal eigen value: 0.8314050126325663\n", + "Eigen values: [8.99430325e+02 2.77670210e+02 8.31405013e-01 2.21190000e+00]\n", + "Eigen vectors: [[ 0.05436601 -0.32790709 -0.77158474 0.54238203]\n", + " [ 0.18680442 0.01563656 0.56923733 0.80051762]\n", + " [-0.13162916 0.93387659 -0.26494772 0.20087555]\n", + " [-0.97201966 -0.14179899 0.10212027 0.15697861]]\n", + "This is the 68 run out of 81 run.\n", + "The code has run 95.5680 seconds.\n", + "Estimated remaining time: 18.2704 seconds\n", + "=======This is the 69 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.52442966 7.79952394 -88.27662362 -31.87818718]\n", + " [ 7.79952394 31.11498652 -16.47767841 -154.72362552]\n", + " [ -88.27662362 -16.47767841 251.58484594 72.12189285]\n", + " [ -31.87818718 -154.72362552 72.12189285 818.20431707]]\n", + "Trace: 1133.428579183614\n", + "Determinant: 424625.5063295614\n", + "Condition number: 1080.5771231432936\n", + "Minimal eigen value: 0.7948118154343831\n", + "Eigen values: [8.58855465e+02 2.71487052e+02 7.94811815e-01 2.29125042e+00]\n", + "Eigen vectors: [[ 0.05298068 -0.32645825 -0.75839465 0.56165435]\n", + " [ 0.18491122 0.01434479 0.589166 0.78643849]\n", + " [-0.12826537 0.93492766 -0.25836135 0.20665836]\n", + " [-0.97290744 -0.13830947 0.10473962 0.15281106]]\n", + "This is the 69 run out of 81 run.\n", + "The code has run 96.9151 seconds.\n", + "Estimated remaining time: 16.8548 seconds\n", + "=======This is the 70 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.74316474 7.42694102 -86.51369237 -30.09984737]\n", + " [ 7.42694102 29.7678141 -15.55855266 -149.36990345]\n", + " [ -86.51369237 -15.55855266 247.90970974 68.2364363 ]\n", + " [ -30.09984737 -149.36990345 68.2364363 797.81042745]]\n", + "Trace: 1107.231116021695\n", + "Determinant: 381369.94743284467\n", + "Condition number: 1131.228760170931\n", + "Minimal eigen value: 0.7392823596420406\n", + "Eigen values: [8.36297467e+02 2.67891780e+02 7.39282360e-01 2.30258650e+00]\n", + "Eigen vectors: [[ 0.05159752 -0.32519357 -0.74430518 0.58103066]\n", + " [ 0.18321977 0.01350159 0.60908704 0.77153172]\n", + " [-0.12535113 0.93583947 -0.25188368 0.21224088]\n", + " [-0.97368132 -0.1351715 0.10759823 0.14864717]]\n", + "This is the 70 run out of 81 run.\n", + "The code has run 98.4196 seconds.\n", + "Estimated remaining time: 15.4659 seconds\n", + "=======This is the 71 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.13438628 7.04282989 -85.27019232 -28.5630018 ]\n", + " [ 7.04282989 28.71995645 -14.7642416 -145.67319431]\n", + " [ -85.27019232 -14.7642416 245.54744961 65.29625692]\n", + " [ -28.5630018 -145.67319431 65.29625692 785.16757397]]\n", + "Trace: 1090.569366309676\n", + "Determinant: 334072.2908212103\n", + "Condition number: 1201.6870700885588\n", + "Minimal eigen value: 0.6840342314306751\n", + "Eigen values: [8.21995091e+02 2.65653696e+02 6.84034231e-01 2.23654444e+00]\n", + "Eigen vectors: [[ 0.05001058 -0.32412002 -0.72914289 0.6006628 ]\n", + " [ 0.18166178 0.01308144 0.62914363 0.7556495 ]\n", + " [-0.12242742 0.93668688 -0.24550229 0.21761858]\n", + " [-0.97442776 -0.1318817 0.1107139 0.14436129]]\n", + "This is the 71 run out of 81 run.\n", + "The code has run 99.8447 seconds.\n", + "Estimated remaining time: 14.0626 seconds\n", + "=======This is the 72 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 30.61370624 6.64378871 -84.32205484 -27.20710656]\n", + " [ 6.64378871 27.89993353 -14.0634536 -143.09362149]\n", + " [ -84.32205484 -14.0634536 243.91732749 63.01789467]\n", + " [ -27.20710656 -143.09362149 63.01789467 777.21904233]]\n", + "Trace: 1079.6500095886515\n", + "Determinant: 289208.71561637335\n", + "Condition number: 1271.2648772423802\n", + "Minimal eigen value: 0.6393346215801524\n", + "Eigen values: [8.12763649e+02 2.64139927e+02 6.39334622e-01 2.10709845e+00]\n", + "Eigen vectors: [[ 0.04834993 -0.32314612 -0.71522959 0.61780702]\n", + " [ 0.1803307 0.01302644 0.64651616 0.74116665]\n", + " [-0.11964922 0.93747381 -0.23994152 0.22193464]\n", + " [-0.97510368 -0.12864585 0.11354098 0.14046888]]\n", + "This is the 72 run out of 81 run.\n", + "The code has run 101.3036 seconds.\n", + "Estimated remaining time: 12.6630 seconds\n", + "=======This is the 73 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", + " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", + " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", + " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", + "Trace: 1981.0422198461438\n", + "Determinant: 561207.9662178434\n", + "Condition number: 2950.219453820002\n", + "Minimal eigen value: 0.5016011129279737\n", + "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", + "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", + " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", + " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", + " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", + "This is the 73 run out of 81 run.\n", + "The code has run 102.3987 seconds.\n", + "Estimated remaining time: 11.2218 seconds\n", + "=======This is the 74 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 44.77448121 13.36308321 -124.75145794 -65.13386954]\n", + " [ 13.36308321 57.3881323 -33.66577731 -299.42207777]\n", + " [-124.75145794 -33.66577731 355.41783016 168.62926416]\n", + " [ -65.13386954 -299.42207777 168.62926416 1595.51055227]]\n", + "Trace: 2053.0909959474125\n", + "Determinant: 513228.2976445542\n", + "Condition number: 2917.190381044787\n", + "Minimal eigen value: 0.5753167063296618\n", + "Eigen values: [1.67830836e+03 3.72781455e+02 5.75316706e-01 1.42586218e+00]\n", + "Eigen vectors: [[-0.05047007 0.32648857 -0.77233623 0.54254469]\n", + " [-0.18287382 -0.02050882 0.56719727 0.80276012]\n", + " [ 0.13340808 -0.93436539 -0.26673157 0.1949817 ]\n", + " [ 0.9727344 0.14122999 0.10314205 0.15232724]]\n", + "This is the 74 run out of 81 run.\n", + "The code has run 103.4779 seconds.\n", + "Estimated remaining time: 9.7885 seconds\n", + "=======This is the 75 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 40.19555527 12.11446351 -108.66725425 -54.3459603 ]\n", + " [ 12.11446351 47.99978202 -28.09006195 -236.92312113]\n", + " [-108.66725425 -28.09006195 303.43712402 129.66971892]\n", + " [ -54.3459603 -236.92312113 129.66971892 1209.21119331]]\n", + "Trace: 1600.843654620789\n", + "Determinant: 574493.5923426447\n", + "Condition number: 1641.1009368547748\n", + "Minimal eigen value: 0.7786241106559912\n", + "Eigen values: [1.27780076e+03 3.20462430e+02 7.78624111e-01 1.80184355e+00]\n", + "Eigen vectors: [[ 0.0568252 -0.33099073 -0.78928624 0.51404598]\n", + " [ 0.19061862 0.02031409 0.53926995 0.82002427]\n", + " [-0.1409001 0.93130083 -0.27612117 0.1912669 ]\n", + " [-0.96983638 -0.15070249 0.09986122 0.16350503]]\n", + "This is the 75 run out of 81 run.\n", + "The code has run 104.7660 seconds.\n", + "Estimated remaining time: 8.3813 seconds\n", + "=======This is the 76 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.96680994 10.1169327 -98.96377145 -42.94345541]\n", + " [ 10.1169327 39.24062076 -22.19671301 -190.84306041]\n", + " [ -98.96377145 -22.19671301 276.27051038 98.09031344]\n", + " [ -42.94345541 -190.84306041 98.09031344 974.78662483]]\n", + "Trace: 1327.2645659113318\n", + "Determinant: 586703.6867346049\n", + "Condition number: 1154.5643300518498\n", + "Minimal eigen value: 0.8912447563558519\n", + "Eigen values: [1.02899941e+03 2.95206809e+02 8.91244756e-01 2.16710690e+00]\n", + "Eigen vectors: [[ 0.0578611 -0.33121289 -0.78442655 0.52117666]\n", + " [ 0.19074339 0.01817303 0.54757119 0.81452593]\n", + " [-0.13962694 0.93133834 -0.27347645 0.19576479]\n", + " [-0.96993472 -0.15025534 0.10025673 0.16309062]]\n", + "This is the 76 run out of 81 run.\n", + "The code has run 106.0652 seconds.\n", + "Estimated remaining time: 6.9780 seconds\n", + "=======This is the 77 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.82843368 8.98465572 -93.24076194 -36.95321608]\n", + " [ 8.98465572 34.72022928 -19.10068248 -169.32118473]\n", + " [ -93.24076194 -19.10068248 261.98357659 82.95163035]\n", + " [ -36.95321608 -169.32118473 82.95163035 876.1350836 ]]\n", + "Trace: 1207.667323148074\n", + "Determinant: 560761.244544903\n", + "Condition number: 1016.6953838933143\n", + "Minimal eigen value: 0.9075873160350136\n", + "Eigen values: [9.22739835e+02 2.81642447e+02 9.07587316e-01 2.37745440e+00]\n", + "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", + " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", + " [-0.13533435 0.93253239 -0.26619814 0.20299388]\n", + " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", + "This is the 77 run out of 81 run.\n", + "The code has run 107.5272 seconds.\n", + "Estimated remaining time: 5.5858 seconds\n", + "=======This is the 78 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 33.42646128 8.35944401 -89.81066931 -33.72058097]\n", + " [ 8.35944401 32.21877784 -17.42991033 -158.35560484]\n", + " [ -89.81066931 -17.42991033 254.19373028 75.25517256]\n", + " [ -33.72058097 -158.35560484 75.25517256 830.15519359]]\n", + "Trace: 1149.9941629861146\n", + "Determinant: 513459.05664163764\n", + "Condition number: 1009.1034533531276\n", + "Minimal eigen value: 0.8647458183914464\n", + "Eigen values: [8.72617992e+02 2.74028305e+02 8.64745818e-01 2.48312030e+00]\n", + "Eigen vectors: [[ 0.0549935 -0.32812852 -0.75602079 0.56368427]\n", + " [ 0.18644071 0.01443566 0.59187188 0.78404028]\n", + " [-0.13153067 0.93376588 -0.2587196 0.2093923 ]\n", + " [-0.97206752 -0.14214279 0.10575638 0.15393425]]\n", + "This is the 78 run out of 81 run.\n", + "The code has run 108.8796 seconds.\n", + "Estimated remaining time: 4.1877 seconds\n", + "=======This is the 79 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.46193631 7.89946484 -87.6342104 -31.52509933]\n", + " [ 7.89946484 30.55560189 -16.29518665 -151.74607116]\n", + " [ -87.6342104 -16.29518665 249.65652434 70.45831169]\n", + " [ -31.52509933 -151.74607116 70.45831169 804.97755171]]\n", + "Trace: 1117.6516142451649\n", + "Determinant: 454517.04885885824\n", + "Condition number: 1059.7997094874358\n", + "Minimal eigen value: 0.7970814188484145\n", + "Eigen values: [8.44746656e+02 2.69604106e+02 7.97081419e-01 2.50377045e+00]\n", + "Eigen vectors: [[ 0.05337759 -0.32661762 -0.7403787 0.58507363]\n", + " [ 0.18442587 0.01338178 0.61386088 0.76745218]\n", + " [-0.12811295 0.93486205 -0.25133676 0.21552227]\n", + " [-0.97299795 -0.1384731 0.10883033 0.14918496]]\n", + "This is the 79 run out of 81 run.\n", + "The code has run 110.3101 seconds.\n", + "Estimated remaining time: 2.7927 seconds\n", + "=======This is the 80 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.71035796 7.42525356 -86.0990254 -29.62775912]\n", + " [ 7.42525356 29.26195047 -15.31455591 -147.18223271]\n", + " [ -86.0990254 -15.31455591 246.74015456 66.82846121]\n", + " [ -29.62775912 -147.18223271 66.82846121 789.36909062]]\n", + "Trace: 1097.0815536086095\n", + "Determinant: 390533.5375384314\n", + "Condition number: 1134.9974877008417\n", + "Minimal eigen value: 0.7286990827395959\n", + "Eigen values: [8.27071628e+02 2.66852968e+02 7.28699083e-01 2.42825870e+00]\n", + "Eigen vectors: [[ 0.05147169 -0.32532815 -0.7232187 0.6070148 ]\n", + " [ 0.18254089 0.01284389 0.63625522 0.74946191]\n", + " [-0.12460497 0.93589476 -0.24399628 0.22145072]\n", + " [-0.97391123 -0.13452744 0.11224889 0.14422019]]\n", + "This is the 80 run out of 81 run.\n", + "The code has run 111.8061 seconds.\n", + "Estimated remaining time: 1.3976 seconds\n", + "=======This is the 81 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", + " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", + " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", + " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", + "Trace: 1083.6008663096845\n", + "Determinant: 330586.4905784959\n", + "Condition number: 1212.388775069196\n", + "Minimal eigen value: 0.6727727401066618\n", + "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", + "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", + " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", + " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", + " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", + "This is the 81 run out of 81 run.\n", + "The code has run 113.2406 seconds.\n", + "Estimated remaining time: 0.0000 seconds\n", + "The whole run takes 113.24071192741394 s.\n" + ] + } + ], + "source": [ + "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", + " ['CA','CB','CC'], t_measure, createmod,\n", + " prior_FIM=prior_pass, discretize_model=disc)\n", + "\n", + "all_fim = doe_object.run_grid_search(exp1, design_ranges, dv_apply_time, \n", + " mode='sequential_finite', \n", + " scale_nominal_param_value=True\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "76003ddb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "At CA0 = 1.0 , T = 300.0 :\n", + "We found the class where CA0 = {0: 1.0} , T = {0: 300.0}\n", + "A-optimal result is 1099.5362969977725 D-optimal result is 151638.4943213679 E-optimal(minimal eigenvalue) result is 0.48581739042109506 Modified E-optimal (condition number) result is 1703.5708820968514\n", + "At CA0 = 1.0 , T = 350.0 :\n", + "We found the class where CA0 = {0: 1.0} , T = {0: 350.0}\n", + "A-optimal result is 1102.4182480406644 D-optimal result is 150855.125045628 E-optimal(minimal eigenvalue) result is 0.48997231855823686 Modified E-optimal (condition number) result is 1705.3048930035557\n", + "At CA0 = 1.0 , T = 400.0 :\n", + "We found the class where CA0 = {0: 1.0} , T = {0: 400.0}\n", + "A-optimal result is 1084.3283557002067 D-optimal result is 152039.07832960782 E-optimal(minimal eigenvalue) result is 0.4993357281605193 Modified E-optimal (condition number) result is 1641.2051904546718\n", + "At CA0 = 1.0 , T = 450.0 :\n", + "We found the class where CA0 = {0: 1.0} , T = {0: 450.0}\n", + "A-optimal result is 1073.3851908623308 D-optimal result is 152189.04419265324 E-optimal(minimal eigenvalue) result is 0.5028391663221075 Modified E-optimal (condition number) result is 1609.9994023835127\n", + "At CA0 = 1.0 , T = 500.0 :\n", + "We found the class where CA0 = {0: 1.0} , T = {0: 500.0}\n", + "A-optimal result is 1068.6013010931579 D-optimal result is 151629.20405875487 E-optimal(minimal eigenvalue) result is 0.5025670284947488 Modified E-optimal (condition number) result is 1602.4379552920132\n", + "At CA0 = 1.0 , T = 550.0 :\n", + "We found the class where CA0 = {0: 1.0} , T = {0: 550.0}\n", + "A-optimal result is 1066.294374711943 D-optimal result is 150651.09426599584 E-optimal(minimal eigenvalue) result is 0.5003756301004131 Modified E-optimal (condition number) result is 1605.4640856393876\n", + "At CA0 = 1.0 , T = 600.0 :\n", + "We found the class where CA0 = {0: 1.0} , T = {0: 600.0}\n", + "A-optimal result is 1065.0006727945133 D-optimal result is 149413.08866872228 E-optimal(minimal eigenvalue) result is 0.4975647310687059 Modified E-optimal (condition number) result is 1612.3033965284394\n", + "At CA0 = 1.0 , T = 650.0 :\n", + "We found the class where CA0 = {0: 1.0} , T = {0: 650.0}\n", + "A-optimal result is 1064.1778703392624 D-optimal result is 147983.78531466573 E-optimal(minimal eigenvalue) result is 0.49498422928574204 Modified E-optimal (condition number) result is 1619.2882874718866\n", + "At CA0 = 1.0 , T = 700.0 :\n", + "We found the class where CA0 = {0: 1.0} , T = {0: 700.0}\n", + "A-optimal result is 1063.638642847519 D-optimal result is 146507.48646152133 E-optimal(minimal eigenvalue) result is 0.49299236417422976 Modified E-optimal (condition number) result is 1624.9104501935346\n", + "At CA0 = 1.5 , T = 300.0 :\n", + "We found the class where CA0 = {0: 1.5} , T = {0: 300.0}\n", + "A-optimal result is 1145.4480638161667 D-optimal result is 166581.38467009662 E-optimal(minimal eigenvalue) result is 0.48728421389676346 Modified E-optimal (condition number) result is 1768.1232464410234\n", + "At CA0 = 1.5 , T = 350.0 :\n", + "We found the class where CA0 = {0: 1.5} , T = {0: 350.0}\n", + "A-optimal result is 1151.9324536678646 D-optimal result is 164685.70018609465 E-optimal(minimal eigenvalue) result is 0.4964321047417337 Modified E-optimal (condition number) result is 1771.4801724742997\n", + "At CA0 = 1.5 , T = 400.0 :\n", + "We found the class where CA0 = {0: 1.5} , T = {0: 400.0}\n", + "A-optimal result is 1111.2301633637778 D-optimal result is 167498.06622292424 E-optimal(minimal eigenvalue) result is 0.5173475296016143 Modified E-optimal (condition number) result is 1630.10789521531\n", + "At CA0 = 1.5 , T = 450.0 :\n", + "We found the class where CA0 = {0: 1.5} , T = {0: 450.0}\n", + "A-optimal result is 1086.6080750185051 D-optimal result is 167875.11552651896 E-optimal(minimal eigenvalue) result is 0.5254321774225026 Modified E-optimal (condition number) result is 1562.4478475438566\n", + "At CA0 = 1.5 , T = 500.0 :\n", + "We found the class where CA0 = {0: 1.5} , T = {0: 500.0}\n", + "A-optimal result is 1075.8443231042434 D-optimal result is 166559.47639777444 E-optimal(minimal eigenvalue) result is 0.5249576134254763 Modified E-optimal (condition number) result is 1545.6906074240526\n", + "At CA0 = 1.5 , T = 550.0 :\n", + "We found the class where CA0 = {0: 1.5} , T = {0: 550.0}\n", + "A-optimal result is 1070.65373948992 D-optimal result is 164251.619804841 E-optimal(minimal eigenvalue) result is 0.5200809843403219 Modified E-optimal (condition number) result is 1551.5407215360776\n", + "At CA0 = 1.5 , T = 600.0 :\n", + "We found the class where CA0 = {0: 1.5} , T = {0: 600.0}\n", + "A-optimal result is 1067.7429093235437 D-optimal result is 161334.89807169262 E-optimal(minimal eigenvalue) result is 0.5137499671366336 Modified E-optimal (condition number) result is 1565.79882549867\n", + "At CA0 = 1.5 , T = 650.0 :\n", + "We found the class where CA0 = {0: 1.5} , T = {0: 650.0}\n", + "A-optimal result is 1065.8916038711552 D-optimal result is 157986.53907653803 E-optimal(minimal eigenvalue) result is 0.5078992315221698 Modified E-optimal (condition number) result is 1580.7201252527295\n", + "At CA0 = 1.5 , T = 700.0 :\n", + "We found the class where CA0 = {0: 1.5} , T = {0: 700.0}\n", + "A-optimal result is 1064.6783419866704 D-optimal result is 154556.86878195836 E-optimal(minimal eigenvalue) result is 0.5033721886008624 Modified E-optimal (condition number) result is 1592.9075104447347\n", + "At CA0 = 2.0 , T = 300.0 :\n", + "We found the class where CA0 = {0: 2.0} , T = {0: 300.0}\n", + "A-optimal result is 1209.7245373595783 D-optimal result is 188680.91170914198 E-optimal(minimal eigenvalue) result is 0.48913747009914166 Modified E-optimal (condition number) result is 1858.616320831994\n", + "At CA0 = 2.0 , T = 350.0 :\n", + "We found the class where CA0 = {0: 2.0} , T = {0: 350.0}\n", + "A-optimal result is 1221.2523415411317 D-optimal result is 184979.52586245077 E-optimal(minimal eigenvalue) result is 0.5049297243111703 Modified E-optimal (condition number) result is 1863.3156848542435\n", + "At CA0 = 2.0 , T = 400.0 :\n", + "We found the class where CA0 = {0: 2.0} , T = {0: 400.0}\n", + "A-optimal result is 1148.8927705492695 D-optimal result is 190348.6673254422 E-optimal(minimal eigenvalue) result is 0.5417343666379524 Modified E-optimal (condition number) result is 1618.3103657413333\n", + "At CA0 = 2.0 , T = 450.0 :\n", + "We found the class where CA0 = {0: 2.0} , T = {0: 450.0}\n", + "A-optimal result is 1105.1201128212274 D-optimal result is 191117.7507506111 E-optimal(minimal eigenvalue) result is 0.5565662145256329 Modified E-optimal (condition number) result is 1503.7114051925557\n", + "At CA0 = 2.0 , T = 500.0 :\n", + "We found the class where CA0 = {0: 2.0} , T = {0: 500.0}\n", + "A-optimal result is 1085.9845538731117 D-optimal result is 188639.4615552581 E-optimal(minimal eigenvalue) result is 0.5560520631753989 Modified E-optimal (condition number) result is 1474.5971888051029\n", + "At CA0 = 2.0 , T = 550.0 :\n", + "We found the class where CA0 = {0: 2.0} , T = {0: 550.0}\n", + "A-optimal result is 1076.7568482418158 D-optimal result is 184270.03331003775 E-optimal(minimal eigenvalue) result is 0.5475192742598249 Modified E-optimal (condition number) result is 1482.9771752629497\n", + "At CA0 = 2.0 , T = 600.0 :\n", + "We found the class where CA0 = {0: 2.0} , T = {0: 600.0}\n", + "A-optimal result is 1071.5820405595707 D-optimal result is 178758.17326418444 E-optimal(minimal eigenvalue) result is 0.5362591366706398 Modified E-optimal (condition number) result is 1505.8326274881686\n", + "At CA0 = 2.0 , T = 650.0 :\n", + "We found the class where CA0 = {0: 2.0} , T = {0: 650.0}\n", + "A-optimal result is 1068.2908307463383 D-optimal result is 172475.9415463406 E-optimal(minimal eigenvalue) result is 0.5257610786968038 Modified E-optimal (condition number) result is 1530.546651700559\n", + "At CA0 = 2.0 , T = 700.0 :\n", + "We found the class where CA0 = {0: 2.0} , T = {0: 700.0}\n", + "A-optimal result is 1066.1339207407643 D-optimal result is 166109.9551245936 E-optimal(minimal eigenvalue) result is 0.5176066466705693 Modified E-optimal (condition number) result is 1551.1500791407132\n", + "At CA0 = 2.5 , T = 300.0 :\n", + "We found the class where CA0 = {0: 2.5} , T = {0: 300.0}\n", + "A-optimal result is 1292.3657176279999 D-optimal result is 219116.55598781718 E-optimal(minimal eigenvalue) result is 0.4912314715447589 Modified E-optimal (condition number) result is 1975.135565776819\n", + "At CA0 = 2.5 , T = 350.0 :\n", + "We found the class where CA0 = {0: 2.5} , T = {0: 350.0}\n", + "A-optimal result is 1310.3779116577584 D-optimal result is 212667.62255371246 E-optimal(minimal eigenvalue) result is 0.5150288667373343 Modified E-optimal (condition number) result is 1980.140754134136\n", + "At CA0 = 2.5 , T = 400.0 :\n", + "We found the class where CA0 = {0: 2.5} , T = {0: 400.0}\n", + "A-optimal result is 1197.3160814605867 D-optimal result is 221799.0883115981 E-optimal(minimal eigenvalue) result is 0.5717813344410629 Modified E-optimal (condition number) result is 1608.3235339216812\n", + "At CA0 = 2.5 , T = 450.0 :\n", + "We found the class where CA0 = {0: 2.5} , T = {0: 450.0}\n", + "A-optimal result is 1128.9213042948234 D-optimal result is 223199.08519825267 E-optimal(minimal eigenvalue) result is 0.5957771989533247 Modified E-optimal (condition number) result is 1439.2001464010648\n", + "At CA0 = 2.5 , T = 500.0 :\n", + "We found the class where CA0 = {0: 2.5} , T = {0: 500.0}\n", + "A-optimal result is 1099.0219934376676 D-optimal result is 219046.7635612996 E-optimal(minimal eigenvalue) result is 0.5956039117841725 Modified E-optimal (condition number) result is 1395.1046514756501\n", + "At CA0 = 2.5 , T = 550.0 :\n", + "We found the class where CA0 = {0: 2.5} , T = {0: 550.0}\n", + "A-optimal result is 1084.6037033913724 D-optimal result is 211683.9981405787 E-optimal(minimal eigenvalue) result is 0.582550713260004 Modified E-optimal (condition number) result is 1404.9139458158472\n", + "At CA0 = 2.5 , T = 600.0 :\n", + "We found the class where CA0 = {0: 2.5} , T = {0: 600.0}\n", + "A-optimal result is 1076.5180664020631 D-optimal result is 202415.6569987658 E-optimal(minimal eigenvalue) result is 0.5649710487513734 Modified E-optimal (condition number) result is 1436.3383702542444\n", + "At CA0 = 2.5 , T = 650.0 :\n", + "We found the class where CA0 = {0: 2.5} , T = {0: 650.0}\n", + "A-optimal result is 1071.375551053092 D-optimal result is 191937.53934280388 E-optimal(minimal eigenvalue) result is 0.5484060967518005 Modified E-optimal (condition number) result is 1471.700117663225\n", + "At CA0 = 2.5 , T = 700.0 :\n", + "We found the class where CA0 = {0: 2.5} , T = {0: 700.0}\n", + "A-optimal result is 1068.0053792314388 D-optimal result is 181450.69474203617 E-optimal(minimal eigenvalue) result is 0.5354684063529392 Modified E-optimal (condition number) result is 1501.9556383407423\n", + "At CA0 = 3.0 , T = 300.0 :\n", + "We found the class where CA0 = {0: 3.0} , T = {0: 300.0}\n", + "A-optimal result is 1393.3716046215663 D-optimal result is 259404.79249873152 E-optimal(minimal eigenvalue) result is 0.49343292348975076 Modified E-optimal (condition number) result is 2117.757640376852\n", + "At CA0 = 3.0 , T = 350.0 :\n", + "We found the class where CA0 = {0: 3.0} , T = {0: 350.0}\n", + "A-optimal result is 1419.3091640169005 D-optimal result is 248947.0165905633 E-optimal(minimal eigenvalue) result is 0.5262832514343758 Modified E-optimal (condition number) result is 2121.25846562084\n", + "At CA0 = 3.0 , T = 400.0 :\n", + "We found the class where CA0 = {0: 3.0} , T = {0: 400.0}\n", + "A-optimal result is 1256.5001279448131 D-optimal result is 263402.56815271225 E-optimal(minimal eigenvalue) result is 0.6066922513316659 Modified E-optimal (condition number) result is 1602.2755769906482\n", + "At CA0 = 3.0 , T = 450.0 :\n", + "We found the class where CA0 = {0: 3.0} , T = {0: 450.0}\n", + "A-optimal result is 1158.0116494264157 D-optimal result is 265767.57867752825 E-optimal(minimal eigenvalue) result is 0.6425068540890994 Modified E-optimal (condition number) result is 1373.6079632065182\n", + "At CA0 = 3.0 , T = 500.0 :\n", + "We found the class where CA0 = {0: 3.0} , T = {0: 500.0}\n", + "A-optimal result is 1114.9566418120737 D-optimal result is 259295.44468122924 E-optimal(minimal eigenvalue) result is 0.6433044742163505 Modified E-optimal (condition number) result is 1312.5340626707155\n", + "At CA0 = 3.0 , T = 550.0 :\n", + "We found the class where CA0 = {0: 3.0} , T = {0: 550.0}\n", + "A-optimal result is 1094.1943041272043 D-optimal result is 247750.52298677372 E-optimal(minimal eigenvalue) result is 0.6250051674349029 Modified E-optimal (condition number) result is 1322.1585481935238\n", + "At CA0 = 3.0 , T = 600.0 :\n", + "We found the class where CA0 = {0: 3.0} , T = {0: 600.0}\n", + "A-optimal result is 1082.5509868629858 D-optimal result is 233249.44652323253 E-optimal(minimal eigenvalue) result is 0.5997577130991854 Modified E-optimal (condition number) result is 1361.1345665049146\n", + "At CA0 = 3.0 , T = 650.0 :\n", + "We found the class where CA0 = {0: 3.0} , T = {0: 650.0}\n", + "A-optimal result is 1075.1457647738398 D-optimal result is 216995.60713203996 E-optimal(minimal eigenvalue) result is 0.5756785168357853 Modified E-optimal (condition number) result is 1407.0534066169535\n", + "At CA0 = 3.0 , T = 700.0 :\n", + "We found the class where CA0 = {0: 3.0} , T = {0: 700.0}\n", + "A-optimal result is 1070.2927173390817 D-optimal result is 200944.16798299024 E-optimal(minimal eigenvalue) result is 0.5567387556544536 Modified E-optimal (condition number) result is 1447.57068462181\n", + "At CA0 = 3.5 , T = 300.0 :\n", + "We found the class where CA0 = {0: 3.5} , T = {0: 300.0}\n", + "A-optimal result is 1512.7421983402073 D-optimal result is 311399.09067781235 E-optimal(minimal eigenvalue) result is 0.4956344365813532 Modified E-optimal (condition number) result is 2286.542819651653\n", + "At CA0 = 3.5 , T = 350.0 :\n", + "We found the class where CA0 = {0: 3.5} , T = {0: 350.0}\n", + "A-optimal result is 1548.0460986209075 D-optimal result is 295280.74015585403 E-optimal(minimal eigenvalue) result is 0.5382748263648286 Modified E-optimal (condition number) result is 2286.0181487108425\n", + "At CA0 = 3.5 , T = 400.0 :\n", + "We found the class where CA0 = {0: 3.5} , T = {0: 400.0}\n", + "A-optimal result is 1326.444909189725 D-optimal result is 317057.5521865532 E-optimal(minimal eigenvalue) result is 0.6456385390230688 Modified E-optimal (condition number) result is 1601.7324036106527\n", + "At CA0 = 3.5 , T = 450.0 :\n", + "We found the class where CA0 = {0: 3.5} , T = {0: 450.0}\n", + "A-optimal result is 1192.3911481973423 D-optimal result is 320838.015192606 E-optimal(minimal eigenvalue) result is 0.6961225904499246 Modified E-optimal (condition number) result is 1310.4792317939582\n", + "At CA0 = 3.5 , T = 500.0 :\n", + "We found the class where CA0 = {0: 3.5} , T = {0: 500.0}\n", + "A-optimal result is 1133.7884969451964 D-optimal result is 311236.03090905806 E-optimal(minimal eigenvalue) result is 0.6987885964935451 Modified E-optimal (condition number) result is 1231.0552044357423\n", + "At CA0 = 3.5 , T = 550.0 :\n", + "We found the class where CA0 = {0: 3.5} , T = {0: 550.0}\n", + "A-optimal result is 1105.528650449711 D-optimal result is 294005.94852919155 E-optimal(minimal eigenvalue) result is 0.6746854263913779 Modified E-optimal (condition number) result is 1238.6960115595953\n", + "At CA0 = 3.5 , T = 600.0 :\n", + "We found the class where CA0 = {0: 3.5} , T = {0: 600.0}\n", + "A-optimal result is 1089.6808019535226 D-optimal result is 272410.99410904915 E-optimal(minimal eigenvalue) result is 0.6404904869131023 Modified E-optimal (condition number) result is 1283.5532630981627\n", + "At CA0 = 3.5 , T = 650.0 :\n", + "We found the class where CA0 = {0: 3.5} , T = {0: 650.0}\n", + "A-optimal result is 1079.601471888402 D-optimal result is 248413.1467302102 E-optimal(minimal eigenvalue) result is 0.6074436903249106 Modified E-optimal (condition number) result is 1339.1644113924633\n", + "At CA0 = 3.5 , T = 700.0 :\n", + "We found the class where CA0 = {0: 3.5} , T = {0: 700.0}\n", + "A-optimal result is 1072.9959351710581 D-optimal result is 225036.58533753204 E-optimal(minimal eigenvalue) result is 0.5812303281681005 Modified E-optimal (condition number) result is 1389.9708943774162\n", + "At CA0 = 4.0 , T = 300.0 :\n", + "We found the class where CA0 = {0: 4.0} , T = {0: 300.0}\n", + "A-optimal result is 1650.4774987836786 D-optimal result is 377289.9144015313 E-optimal(minimal eigenvalue) result is 0.4977587555583983 Modified E-optimal (condition number) result is 2481.533158401581\n", + "At CA0 = 4.0 , T = 350.0 :\n", + "We found the class where CA0 = {0: 4.0} , T = {0: 350.0}\n", + "A-optimal result is 1696.588715479351 D-optimal result is 353397.8312879253 E-optimal(minimal eigenvalue) result is 0.5506368680154294 Modified E-optimal (condition number) result is 2473.8645149810354\n", + "At CA0 = 4.0 , T = 400.0 :\n", + "We found the class where CA0 = {0: 4.0} , T = {0: 400.0}\n", + "A-optimal result is 1407.150428173226 D-optimal result is 385007.66008115205 E-optimal(minimal eigenvalue) result is 0.6877958792213302 Modified E-optimal (condition number) result is 1607.7050261633747\n", + "At CA0 = 4.0 , T = 450.0 :\n", + "We found the class where CA0 = {0: 4.0} , T = {0: 450.0}\n", + "A-optimal result is 1232.0598006660607 D-optimal result is 390791.50345847104 E-optimal(minimal eigenvalue) result is 0.755936785366837 Modified E-optimal (condition number) result is 1252.164170768648\n", + "At CA0 = 4.0 , T = 500.0 :\n", + "We found the class where CA0 = {0: 4.0} , T = {0: 500.0}\n", + "A-optimal result is 1155.517564889954 D-optimal result is 377055.4844963731 E-optimal(minimal eigenvalue) result is 0.7616413010273266 Modified E-optimal (condition number) result is 1153.56396067208\n", + "At CA0 = 4.0 , T = 550.0 :\n", + "We found the class where CA0 = {0: 4.0} , T = {0: 550.0}\n", + "A-optimal result is 1118.606741960431 D-optimal result is 352265.93053194525 E-optimal(minimal eigenvalue) result is 0.731369368906729 Modified E-optimal (condition number) result is 1157.5019448123237\n", + "At CA0 = 4.0 , T = 600.0 :\n", + "We found the class where CA0 = {0: 4.0} , T = {0: 600.0}\n", + "A-optimal result is 1097.9075112415553 D-optimal result is 321261.1072732417 E-optimal(minimal eigenvalue) result is 0.6870415207970759 Modified E-optimal (condition number) result is 1206.2607176796919\n", + "At CA0 = 4.0 , T = 650.0 :\n", + "We found the class where CA0 = {0: 4.0} , T = {0: 650.0}\n", + "A-optimal result is 1084.742672417322 D-optimal result is 287091.8887813455 E-optimal(minimal eigenvalue) result is 0.6435916597485087 Modified E-optimal (condition number) result is 1270.1548612113952\n", + "At CA0 = 4.0 , T = 700.0 :\n", + "We found the class where CA0 = {0: 4.0} , T = {0: 700.0}\n", + "A-optimal result is 1076.1150325176336 D-optimal result is 254255.2773071438 E-optimal(minimal eigenvalue) result is 0.608797184781677 Modified E-optimal (condition number) result is 1330.7789521030636\n", + "At CA0 = 4.5 , T = 300.0 :\n", + "We found the class where CA0 = {0: 4.5} , T = {0: 300.0}\n", + "A-optimal result is 1806.5775059519992 D-optimal result is 459604.7219933394 E-optimal(minimal eigenvalue) result is 0.4997565607094312 Modified E-optimal (condition number) result is 2702.7543876920536\n", + "At CA0 = 4.5 , T = 350.0 :\n", + "We found the class where CA0 = {0: 4.5} , T = {0: 350.0}\n", + "A-optimal result is 1864.93701458946 D-optimal result is 425293.33387179556 E-optimal(minimal eigenvalue) result is 0.5630645637492117 Modified E-optimal (condition number) result is 2684.360803602728\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "At CA0 = 4.5 , T = 400.0 :\n", + "We found the class where CA0 = {0: 4.5} , T = {0: 400.0}\n", + "A-optimal result is 1498.6167149344094 D-optimal result is 469841.6247280835 E-optimal(minimal eigenvalue) result is 0.7323714028597419 Modified E-optimal (condition number) result is 1620.7512957765398\n", + "At CA0 = 4.5 , T = 450.0 :\n", + "We found the class where CA0 = {0: 4.5} , T = {0: 450.0}\n", + "A-optimal result is 1277.017606694349 D-optimal result is 478375.47935399483 E-optimal(minimal eigenvalue) result is 0.8212252566049608 Modified E-optimal (condition number) result is 1199.9989788371267\n", + "At CA0 = 4.5 , T = 500.0 :\n", + "We found the class where CA0 = {0: 4.5} , T = {0: 500.0}\n", + "A-optimal result is 1180.143839623319 D-optimal result is 459277.25895758584 E-optimal(minimal eigenvalue) result is 0.8314050126325663 Modified E-optimal (condition number) result is 1081.8197040357716\n", + "At CA0 = 4.5 , T = 550.0 :\n", + "We found the class where CA0 = {0: 4.5} , T = {0: 550.0}\n", + "A-optimal result is 1133.428579183614 D-optimal result is 424625.5063295614 E-optimal(minimal eigenvalue) result is 0.7948118154343831 Modified E-optimal (condition number) result is 1080.5771231432936\n", + "At CA0 = 4.5 , T = 600.0 :\n", + "We found the class where CA0 = {0: 4.5} , T = {0: 600.0}\n", + "A-optimal result is 1107.231116021695 D-optimal result is 381369.94743284467 E-optimal(minimal eigenvalue) result is 0.7392823596420406 Modified E-optimal (condition number) result is 1131.228760170931\n", + "At CA0 = 4.5 , T = 650.0 :\n", + "We found the class where CA0 = {0: 4.5} , T = {0: 650.0}\n", + "A-optimal result is 1090.569366309676 D-optimal result is 334072.2908212103 E-optimal(minimal eigenvalue) result is 0.6840342314306751 Modified E-optimal (condition number) result is 1201.6870700885588\n", + "At CA0 = 4.5 , T = 700.0 :\n", + "We found the class where CA0 = {0: 4.5} , T = {0: 700.0}\n", + "A-optimal result is 1079.6500095886515 D-optimal result is 289208.71561637335 E-optimal(minimal eigenvalue) result is 0.6393346215801524 Modified E-optimal (condition number) result is 1271.2648772423802\n", + "At CA0 = 5.0 , T = 300.0 :\n", + "We found the class where CA0 = {0: 5.0} , T = {0: 300.0}\n", + "A-optimal result is 1981.0422198461438 D-optimal result is 561207.9662178434 E-optimal(minimal eigenvalue) result is 0.5016011129279737 Modified E-optimal (condition number) result is 2950.219453820002\n", + "At CA0 = 5.0 , T = 350.0 :\n", + "We found the class where CA0 = {0: 5.0} , T = {0: 350.0}\n", + "A-optimal result is 2053.0909959474125 D-optimal result is 513228.2976445542 E-optimal(minimal eigenvalue) result is 0.5753167063296618 Modified E-optimal (condition number) result is 2917.190381044787\n", + "At CA0 = 5.0 , T = 400.0 :\n", + "We found the class where CA0 = {0: 5.0} , T = {0: 400.0}\n", + "A-optimal result is 1600.843654620789 D-optimal result is 574493.5923426447 E-optimal(minimal eigenvalue) result is 0.7786241106559912 Modified E-optimal (condition number) result is 1641.1009368547748\n", + "At CA0 = 5.0 , T = 450.0 :\n", + "We found the class where CA0 = {0: 5.0} , T = {0: 450.0}\n", + "A-optimal result is 1327.2645659113318 D-optimal result is 586703.6867346049 E-optimal(minimal eigenvalue) result is 0.8912447563558519 Modified E-optimal (condition number) result is 1154.5643300518498\n", + "At CA0 = 5.0 , T = 500.0 :\n", + "We found the class where CA0 = {0: 5.0} , T = {0: 500.0}\n", + "A-optimal result is 1207.667323148074 D-optimal result is 560761.244544903 E-optimal(minimal eigenvalue) result is 0.9075873160350136 Modified E-optimal (condition number) result is 1016.6953838933143\n", + "At CA0 = 5.0 , T = 550.0 :\n", + "We found the class where CA0 = {0: 5.0} , T = {0: 550.0}\n", + "A-optimal result is 1149.9941629861146 D-optimal result is 513459.05664163764 E-optimal(minimal eigenvalue) result is 0.8647458183914464 Modified E-optimal (condition number) result is 1009.1034533531276\n", + "At CA0 = 5.0 , T = 600.0 :\n", + "We found the class where CA0 = {0: 5.0} , T = {0: 600.0}\n", + "A-optimal result is 1117.6516142451649 D-optimal result is 454517.04885885824 E-optimal(minimal eigenvalue) result is 0.7970814188484145 Modified E-optimal (condition number) result is 1059.7997094874358\n", + "At CA0 = 5.0 , T = 650.0 :\n", + "We found the class where CA0 = {0: 5.0} , T = {0: 650.0}\n", + "A-optimal result is 1097.0815536086095 D-optimal result is 390533.5375384314 E-optimal(minimal eigenvalue) result is 0.7286990827395959 Modified E-optimal (condition number) result is 1134.9974877008417\n", + "At CA0 = 5.0 , T = 700.0 :\n", + "We found the class where CA0 = {0: 5.0} , T = {0: 700.0}\n", + "A-optimal result is 1083.6008663096845 D-optimal result is 330586.4905784959 E-optimal(minimal eigenvalue) result is 0.6727727401066618 Modified E-optimal (condition number) result is 1212.388775069196\n" + ] + }, + { + "data": { + "image/png": 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\n", 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+CnERKRi7mb0hKWddMBd4FT900sG6ALg/zVjArQvuSlYF1wGDceuCPRs64CAImkbOhUdPRtIRwH8DOwFv4s/GfwGLgY2APXBL0Qsl/Rk43cxmlZPb7M3sPsDl6ecb+CD2N7Oc06xfAmsBFwIb4sfXv2BmCzMyTsSd+1+Vyk4GhhSwLng+98HMpiQLq9HA6cDTdLQuCIKgm9MTZgvFkPQIvqR+KW5B9bBZx1hO6ZjBl4BvAU9IOtLMriopu4CcII/+/ftbBC4qR/cOmhOBi1ovX9r9wXJuNUqxnmS7V1j2NuhUW10RScOB3yQLrErrfALok3lZL0j4egqCoC3IbWb3VMxsbA11HgEeKVcuFEUQBG1DT156aiShKIIgaAtiM3sFktbAPVIMADbD93Pn4+fY7jKzZ6qRF4oiCIK2oafPKCR9BPdh9y1gfeB93HAoZ/W0JmCSHgQuAi41s/fLyQ1FURHv41a6jSLfI0m9eaHB8sGjPjaSfzdY/owGy3+6wfKh4fdo0YLGyu8kPX1GIekC4Gj8EPMZuJ+8R8xsaabMh/BZxoH40YIfSxpazgI0FEUQBG1BlYGL2pEtgD3M7OFiBczsFeAvwF8knQAcA3wCP4pQlFAUQRC0BWH1ZAdVWX4J8OtKyoaiCIKgbejhM4qGEYoiCIK2oKcvPUnaupry1Vg+haIIgqBt6Mmb2bg1QzWuNirWq6EogiBoC3r6jCKxELgG+AfVKY2ShKIIgqBt6OEziu/gnmGPwL1yX46fk+i0bXYPv69BELQLAlav8GpHzGy8mX0e6AdcDHwdmCnpHknDJG1Qq+ymKgpJx6cgGm+m615JB2byx0uyvOu+PBlrSDpf0nxJb0m6IQUvKtf2wZKelLQk/RzciDEGQdAacgfuKrnaGTN7wczONLMdcTceDwFjgJcl/aQWmc2+Zy8APwZ2BfoDtwHXS/p4psytwKaZ64A8GWOBg4HD8Oh36wE3Siq6PClpIB6/4go8XvcVwNWS9uj0iIIg6DJEhLuVMbP7gfHABPyYySdqkdPUPQoz+0te0khJx+Ja79GUtsTM5lCAFHDjKOBIM5uU0g7H/UfsCxTzqT4cuN3MxqTPYyTtk9IPq200QRB0JWIzewWSPoz7ezoc2B4PB308/sJcNS2bhUlaNUWdW4eVY1fvKWmupJmSfiepdyZvN1wr3pJLMLPngaeAT5dobmC2TmJimTpBEHQzevLSk6R1Uzzs24DZuN+nCcBHzWxPM/utmb1ei+ymWz1J2hnXbmvinvYGm9ljKfvvwLXALHxDZjRwm6Td0nHzPsAyOnrReyXlFaNPKlNxHUnDgGEAfft+uOy4giBoLT3dhQcwB3gPf4aeQcZEVlIH/ViJ19gcrTCPnYHvE2yA7zVcImlvM3vczK7MlHssucJ9Fvd0eG0JmaK8zXB+fsk6ZjYOGAfQv/+uES82CLo4sfTEWuk6Il2lMKp4/jddUZjZu6zwhzxN0u7AifjeQ37ZlyS9AGybkubgfwu9gHmZor1xl7rFmEPH2UNvOs4ygiDopoSi4PRGCe4KB+5WAdYolCGpF7A58HJKehCfWg0C/pjKbAHswMr7HPncm+qcnUkbVKZOEATdjHbdf6gEM2sPRSHpLOAm4HlgXeCb+AnCAyWtA4zCj5+/jO9R/ByYC1wHYGZvSLoYOFvSXOBVPPjGo7hZba6dycD9ZjYiJZ0H3CVpRJI1GNgH2LNxow2CoJnEjKJxNHtG0Qc/Vt4HD8/3KLC/mU2UtBawMzAE3794Gbgd+IaZLczIOBFYipt5rQVMBoaY2bJMmW1wZQSAmU1JFlaj8enZ08Ah5aI6BUHQvejJikLS56opb2a3VVq22ecohpbIWwx8sQIZ7wAnpKtYmX4F0ibgpmJBELQhrbR6krQGcA5+Liv3AnucmRWNQyxpJ/zFdVdgK+B0MxtVoNxxwEn4AeQngOFm9o8CIm/FN6lVoqu5fCO8xwZB0NNocczsscBXcEWRWxK/MZn2LytS54P4eYdr8dWODkg6BF86Pw64O/28WdKOZvZcXvF9OjmGooSiCIKgbWjF0lOtHiPM7AHggVT+lCLifwiMN7Pfpc8nSNoPOBYYkS1oZnd2cihF6clGAkEQtBG5zewW+Hqq1WNESSStnmTne5W4pZBcSVtLasjqWyiKIAjahipcePSSNC1zDetEs7V6jChHL1yvVepV4l/AJ3Mf5FwqactO9AGIpacKWYIvJTaKRhtf3dRg+cDS6xor//bGiqdi+48aubV8kc7y2rTGym/0V9BZqjSPnW9m/UvKk0YDI8vIKbUvUInHiEqo1KtE/ib2KsC38f2TZzvTgVAUQRC0BQ2wehqLm/OX4jlgALV5jCjHfHym0nKvEqEogiBoC+p94M7M5tNxOalju+6TrhaPEeXafzfJHgRcnckahB9MbhqhKIIgaBtaselaq8eItFm9Y8peE+gjaRdgkZnl/OGdC1wm6X7gHuC7wGbAb4p0Z5WMp9hVC6Rl+92lvccGQRDUnRa78KjaYwT+wP9nXv4xwJ24ayPM7CpJGwOn4gfuHgcOMLNiew73FEgrtAnatb3HBkEQNIpWKYpaPEaY2WxKn6LOlbsIuKiCbrSHU8AgCIJG0dMDF7WN99ggCIJGEd5jG0ccuAuCoG3o4TGzB9dQZ1NJA8qVa+k9k3SKJJN0QSZNkkZJeknSYkl3JC+L2XprSDpf0nxJb0m6IZmjlWvvYElPSlqSflZ9Y4Mg6Jq00IVHV+FCSY9I+q6kjUoVlLSXpHF4tNGPlxPcMkWRtNjRuAlZlpOBH+GbQrvjgYsmSVo3U2YsHm/7MGAvYD3cU2PRvwFJA3GLhCvwmN1XAFdL2qMOwwmCoAvQk2cUwEfw8xVnAK9IelTSZZLOlfRzSb+RdIukBcAdeIjpQWY2rpzgltyz5G3xCtzj4muZdAHDgbPM7BozexwPEp6Lhpf11HiSmU0ys4eAw3GtuG+JZocDt5vZGDN7yszG4DdreF0HFwRBS+jpMwoze9vMzsDDR38bmIY7FfwObr77ZXz45wE7mdk+ZlbRgcBWbWaPAyaY2W2SfpJJ3wo/rp71wrhY0l24t8TfUsRTo6Scp8aCLn2BgcD5eWkTge91cixBEHQBerrVUw4zew9fPbmqXjKbrigkHY1PkQ4vkJ3zaVLIW+LmmTK1eGrsU0RuwTrJm+QwgL59Ny0hNgiCrkK7zhZaTVMVhaTtgDOBvczs3RJFK/WWWG2ZiuWmdbtxAP3771QPD5BBEDSQMI9dgaS+JbLfB94ws4WVymv2jGIg7mHxcd+OAPy7/Yyk7wI566Y+rHzUPestcQ61eWqcQxfwwhgEQeNo443qaplNmRdnSc8Av8xEzytKs+/r9cDOuNVR7poGXJl+n4k/0AflKkhaE7dsym26ZD015spU4qnx3mydxKAydYIg6Cb09M3sPL6Lv2w/BozCQ6eejvuKeh4PozoD+I2koeWENXVGYWavA69n0yS9BSxIFk5IGguMlDQdVxynAotI7ntr9dSI7/TfJWkEcB0wGA86smcjxhoEQfOJGcVyPgpMM7Ov5aWfIekaoI+ZfUnSZcAPgPGlhHVFFx6/xL0vXghsiHs+/ELeelrVnhrNbIqkQ4HRuGZ9GjjEzBodXi4IgiawCrB6qzvRdfg2MLRI3u9xxfBDPM7FweWEtVxRmNneeZ8NnyqNKlGnak+NKW0CMKGmjgZB0OWJGcVy1gU2KZK3CbBO+v1N3Iq0JHFfgyBoC2KPYiXuBM6UtFs2UVJ/YAwrQqBvi4dzLUnLZxRBEAT1oocogUo4Ht+zvV/Sc7grpN5AX2AWK1Zj1sGX+UsSiiIIgrZAxBJJDjObJWl74EhgD1ZEx7sPGJ9Ob2Nmv6pEXiiKIAjagnDhsTJJGSw/ONwZQlEEQdA2xNJTYwhFURHv40c5GsULDZQN8ESD5eOT2kbyjwbLv66x4h+c0Vj5AH9qsPy6eZhrED3dhUc6aT3YzB6RNIvSJ7PNzLapVHYoiiAI2oYevkdxJ27umvu9bj7qQlEEQdAW9PQZhZkdmfl9aD1lh6IIgqAt6OmKopH08JlaEATtQs7qqZKrJyDpk5KulTRf0lJJu6b0MyXtV42sUBRBELQNPTxm9nIk7Yl7zN4ed6iaHfb7uHfZiukJ9ywIgh5AuPBYibPwUM874c7/sjwE7FqNsNijCIKgbeghSqASdgW+amYmKd/6aT7FHQYWpKUzCkmnSDJJF2TSxqe07HVfXr01JJ2f1t7eknRDCl5Urr2DJT0paUn6ObgR4wqCoEXE2lOOd4APFsnbFHijGmEtu2WSBgBH4wGH8rkVH0zuOiAvfyzuQ/0wPPrdesCNkoq+UEgaiJ8ZugKPpncFcLWkPTozjiAIugix9pTlbmB43jMxN7M4CritGmEtURSS1scf1EcBrxUossTM5mSuBXl1jwJOMrNJZvYQcDjwcWDfEs0OB243szFm9pSZjQHuSOlBEHR3Wmj2VMsqh6SdJE2Q9ExaORlVoMyoAisscyro0mn48tMj6XcDjpB0OzAAD95WMa2aUYwDJphZMa22p6S5kmZK+p2k3pm83fCv+pZcgpk9DzwFfLpEmwOzdRITy9QJgqA70boZxViqXOXAl4Zm4+GeZ5UoN4OVV1h2LtcZM3sE+AzwCjASV6PfS9mfNbOqnMo0fTNb0tHAR/BZQCH+DlyL37h+eOjS2yTtZmZLgD54RKb5efVeSXnF6JPKVFMnCILuQotO3GVWOY40s0kp7XDgWXyVY2Khemb2APBAKn9KiSaWmlkls4h8+Q8Bn5e0JrAR8LqZvV2tHGiyopC0HXAmsJeZvVuojJldmfn4mKQH8Rt+IK5AioqnvG+T/PyidSQNA4YB9O0buiQIugWtWSMpuMohKbfKUVBRVMHWkl4E3gWmAqeY2TOVVk6ho1/qTAeafVsHAr2Ax9NJwaXAZ4Hj0uc18iuY2Uu4e9VtU9Ic/L2hV17R3nScMWSZQ8fZQ9E6ZjbOzPqbWf9NNtmg9KiCIGg91W1m95I0LXMN60TLta5yVMJUYCiwP2780weYImnjTsqtimYvPV0PTMtL+z/gX/hMo8MsQ1IvYHPg5ZT0IPAeMAg/cUjaNNoBmFKi7XtTnbMzaYPK1AmCoLtQXeSi+WbWv6Q4aTS+vl+Kfcr0qFMeXM3s5rw+3Qc8AxwBnNsZ2dXQVEVhZq8Dr2fTJL0FLDCzxyWtk3b+r8EVQz/g53i81+uSjDckXQycLWku8Cp+wx7FzWpzcicD95vZiJR0HnCXpBFJ1mD8S96zEWMNgqAF1HePYixweZkyz+FWRLlVjnmZvN7AXfXskJktkvQEK1ZYmkJXO5m9DN/RHwJsgCuL24FvmNnCTLkTgaX4uYi1gMnAEDNblimzDfB87oOZTZF0KL45fjrwNHCImU1t2GiCIGgedQ6abWbz6bic1LFZ30etZZWjatLG9Pb4c7FptFxRmNnemd8XA1+soM47wAnpKlamX4G0CcCEWvoZBEE3oAVWT7WuckhaHdgxZa8J9JG0C7DIzP6dypwD/BWfufTGz0SsDVzShKEtp+WKIgiCoC60NiBF1ascwGbAP/Pyj8Gj0+2d0rbAo9zmlrXuAwaY2bP5HZA0pJoOm9mllZYtqigkVSwkj9MKDSIIgqDhtOgIcS2rHGY2G1dvpeQeWkU3xldR1oDOKwrg27hJ6ZIqGu+LbwCFogiCoLlUZ/XUjmzVKMHllp4OMrP7KxEkaTUKmLcGQRA0hR4eC7WRKzmlFMVkqnNFuyzVebNTPQqCIKiFHq4oGklRRWFmg6oRZGaGm4e1IaKx+/5hU1CW9xssf1n5Ip3hncaKB2Bh+SKdYkH5Iq2nZ8SaqAhJX8RDnm6HW1WthJltXamsordV0m5VdOiC8qWCIAgaSMSjWI6kA4C/4R5qtwem4ya2H8Zfu+6sRl4p/TtRUll3tsl++NhqGg2CIKg7LYxH0QU5DbiQFUHfTk1n1nbCVeXNReoVpJSieB64NXl87YCcy4AjgZ9U02gQBEFDiBlFju3xg3rv46awqwGY2UxgFK5IKqaUotgXP+AxWdI22YwUjONK4FvAySlaXBAEQevIufCImNngCmJp2juehx9dyPESfrivYoreMjN7FfgcsAhXFn0BJH0Ad9r3deAHZnZOVd0PgiBoFDGjyDEDd6oK7rF7uKRNJW0C/AiPrFcxJc1tzGyupM/jGx+3Sdof+DXwBeAYM/tddX0PgiBoEGEem+UK3CkhwE9xn1MvpM/LgG9WI6ysXaaZvShpH9xd7hP41zHUzC6rpqEgCIKG0zOWlcpiZhdmfn8wGSbtj/uhutXMnqxGXinz2O/kLla4z10ND/f3gWx+KlMWSaMkWd41J5OvVOYlSYsl3SFppzwZa0g6X9J8SW9JuiG59C3X9sGSnpS0JP0cXEmfgyDoJghYvcKrh2FmL5jZ78zs19UqCSg9o/h9kfT907VSP4A/VNjmDFZ4RoSVjzqdjK+fDU3lfgJMkrRdJh7FWOArwGGscOd7o6Td8jw1LkfSQNyr40/xuNtfBa6W9B8RjyII2oQ6x6NoByQJ2JTCB+4qjrtdSlE0ysHUUjObk5+YBjQcOMvMrklpR+DR7b4J/FbS+sBRwJFmNimVORx3QrgvxYOYDwduz1hnjUnLacNxhRMEQXcn9iiWk2JqX4hH8iz2nK/4bpVy4dEoB1NbS3oRdyA4FTglabat8MDht2T6sFjSXcCngd8Cu+HHZbJlnpf0VCpTTFEMBM7PS5sIfK8uIwqCoGsQM4ocF+Ohni/AT2V3ymFrs50MTcWXlabj0ZpOBaakfYg+qcwreXVeATZPv/fBl6rywxO+kqlfiD5F5JaqEwRBdyJmFFn2wY8vjK+HsFKb2bdJ2r5SQZJWSXWKBv02s5vN7M9m9qiZ3Qp8KfXhiGyxfNEF0jo0X0GZquRKGiZpmqRp8+a9VkZ0EARdgjhHkWMBHV+Oa6bURG1vYN0qZKnaOma2CDe53RYPkgQd3/J7s2LAc/CvuVeJMoWYU0Zuob6NM7P+ZtZ/k002LCE6CIIuQfh6ynI+8N2099tpyi09XS+pmgh35d7qV0LSmrhPktuBWfgDfRDwQCZ/L+CkVOVB4D1WmOuSTGN3AKaUaOreVOfsTNqgMnWCIOhOxNLTcszsXEmbAU9KuhXIXxYxM/tppfJKKYpLaukgHfcPliPpHNxR1XP4G/1pwNrAJWZmksYCIyVNB2biexiLSErBzN5I3mrPljSXFeaxj+InD3PtTAbuN7MRKek84C5JI4DrcEuAfYA9axxjEARdkdjMBpa7GT8eWAOPR5GP4ccFKqKU1dORVfeuPFsAf8KXjuYB9wEDMhZWv8RPDl4IbIhvfn8hc4YC4ERgKX4uYi08qt6QvDMU2+Deb3NjmSLpUGA0cDrwNHBInKEIgjYiZhRZzsVXZo4HppvZe50R1lSrJzM7tEy+4S5wR5Uo8w5wQrqKlelXIG0CMKGyngZB0C2JGUWOvsD3zeyxegiLGJxBELQHORceAcA/gc3qJSz0bxAE7UHEo8jyfeC/Jf1HPYTFjCIIgvYh9ihyXA+shxvxvAW8npdvZrZlpcJCUQRB0B7EZnaWyVR5XKEURRWFpGeAwWb2SL0aC4IgaCg9Y1mpLGY2tJ7ySs0o+uE2uAHQ2MnXBg2UDStcZTWQD81srPyKJ8k1UtTxTH3Y+d+NlQ+wa4PlVx3EoEru7qyAmFE0jFh6CoKgPci58OihSBoC3GRmr6bfS2Jml1Yqu5yiqNsaVxAEQUNp4YxC0hrAOXh8m9xB4OPM7IUSdY4GhgA74Ytm/wROM7O788odh7sx2hT3jTfczP5RQOR4YADusWJ8mS4bUDdFcbqkoi45so2a2RHliwVBEDSQ1u1RjKXKyJu4E9WrgHuAt3GvExMl7WJm/wKQdAjugug4fHXuOOBmSTua2XN58rYCXs78XjfKKYpdgEqcAsbMIwiC1tKiGUWtkTfN7Ft5co4FDgL2A/6Vkn8IjDez36XPJ0jaDzgWGJGtnw02V+/Ac+UUxUFmdn89GwyCIGgYrVl6qjXyZj6r47GtXwOQtHqSfU5euVuS3KYRxmRBELQH1Z3M7pULTJauYZ1oudbIm/mMxr1l35A+98JVX9XROSWtLumnkqZLelvSsrxraRX9CqunIAjahOqsnuabWf+S4qTRwMgycvYp06OKluUl/QA4BtjXzN7My64l6ufZuOfYm4FrqWwLoSihKIIgaB/qu/Q0Fri8TJnncEujXOTNeZm83sBd5RpJSmI0sH/eUv98fKZSVXTOxNeAn5rZmHLtV0LRpSczW6Xe+xOSRkmyvGtOJn98gfz78mSsIel8SfMlvSXphhTlrlzbB0t6UtKS9HNwPccWBEGLyW1m1ylmtpnNN7PpZa63WTnypnelssibSPohMAY4MN8s1szeTbIH5VWrJDrnOnhkz7rQij2KGbg9cO7aOS//1rz8A/LyxwIH42Zoe+GOr26UVPTrlzQQN0O7ArfkugK4WtIenRtKEARdihZ4jzWzN4Bc5M19JX0SuIwCkTcl/Tzz+STgLOA7wExJfdK1fkb8ucBQSf8laQdJ5+Huw39Tplt/BT5Tj/FBa5aelprZnBL5S4rl12qGBgwHbs9Mw8ZI2ielH1b1CIIg6Hq01oVH1ZE38T2ED6Q6WS4BhgKY2VWSNsbDQm8KPA4cUIH56/nApZLeB/4GLMgvYGbPVDQyWqMotpb0IvAuHur0lLwO75niYb8O3AmMNLO5Ka9WM7SB+I3LMhH4XifHEgRBV6GFLjxqibxZKBJnkXoXARdV2aXcstMoisfGrlitNltRTMU15XR8Q+ZUYIqknczsVeDv+A79LNwp4WjgtnS6cQm1m6H1oUoTs2QuNwygb99NKxhaEAQtJZwCZvkOzXAz3gjM7Obs57RR/QxwBHCumV2ZyX5M0oP4stKBuAIpRiXmYlWZmJnZOGAcQP/+O8bJ8yDoDsTJMADMbHw95bX0tprZItzJVUEnz2b2EvBCJn8OK8zQspQzF5tDbSZmQRB0F+ps9RSsoKXnKCStCWwP3F4kvxceTCHn6CprhvbHVKYSM7R7U52zM2mVmJgFQdCd6MFKQNIfgJ+Z2az0eynMzI6qVHZTFYWkc3CzrefwN/rTgLWBSyStg2+8XIMrhn7Az4G5wHXgZmiScmZoc1nhpbGDGRpwv5nlnGadh8eOHZFkDcZPVO7ZwOEGQdBMci48ei774M86gM9Rejm+quX0Zs8otgD+xIoTjPcBA8zsWUlr4WcqhuAh317GZxrfMLOFGRlVm6GZ2RRJh+Kb46cDTwOHmNnURgwyCIIW0MMDF5nZVpnf+9VTdrM3sw8tkbcY+GIFMqo2Q0tpE4AJFXU0CILuSQ9eemok4espCIL2IMxjOyDpw8CHcfflK2Fmt1UqJxRFEATtQ8/eo1iOpK1xV0WfyiWln8aKowFd9sBdEARBY4gZRZbfA31xN0XTcU8YNROKIgiC9iEURY7dgaFmdk09hIWiqIhVca+9jSL//GC96ddg+cCm6zVW/s75sVzqzEuNFb/eq42VD/CVBgctXla+SKe4u3yR0vRwq6c8XqCTs4gssaIXBEF7UF0o1HbnTODHktauh7CYUQRB0D7E0hMAZnaZpO2B2cmn3msdi9gRlcoLRREEQXsQm9nLkTQUGIGvGO5Kx2WoLn0yOwiCoHH0jGWlSjgdd1d0lJm93llhoSiCIGgPVgFWb3UnugwbAxfVQ0lA6N8gCNqJ2MzOcTfuVbsuxIwiCIL2IPYosvwA+LOk1/DIofmb2ZjZ+5UKC0URBEH70DNmC5XwVPp5aZF8o4rnf9MVhaRNgbOAA4B18VCox5rZnSlfeDDwYcCGeJzt483siYyMNYBzgMNY4Wr8ODN7oUzbBwM/w92QPw2MNLPr6jrAIAhaQ8wospxBd42ZLWkD4B58/exAPCbF1nhwohwnAz8ChgIzgJ8AkyRtl4lLMRb4Cq4ocsGLbpS0W15cimzbA/EYFj/F429/Fbha0n9EXIogaBNCUQBgZqPqKa/ZM4qTgZfNbEgmbVbulzSbGA6clfNRIukIXJF8E/itpPWBo4AjzWxSKnM48CywLzCxSNvDgdvNbEz6PEbSPin9sHoMLgiCFhIuPBpGs1f0DgKmSrpK0lxJD0v6XlIQAFsBfYBbchVSQKO7gE+npN3wP4dsmefxNblcmUIMzNZJTCxTJwiC7kJu6amSqw2RdKKkDnEnytTZVdJ+5co1W1FsDRyH70t8EY/vehZwfMrvk36+klfvlUxeH/y04fwSZQrRp4zclZA0TNI0SdPmzVtQQmwQBF2Gnm0eOwR32XGWpE8UKyRpQ0mHS7oF3wYo69Gz2UtPqwDTzGxE+vxPSdviiuKCTLn8TRgVSMunkjIVyzWzccA4gP79d67bplAQBA0iNrN3BQ7H93hPlvQm8Bi+F7wENw7aGjfmWYLv2e5oZrPLCW62bn0ZeDIv7Sk8wAbAnPQz/y2/NytmA3PwP4d839zZMoWYU0ZuEATdnR48ozDnUjP7BL7U/itgIa4cPolbmf4D+A6wmZkdWYmSgObPKO4BtstL+yi+EQ2+sT0HGAQ8AJDW3PYCTkplHgTeS2X+mMpsgZ9CnFKi7XtTnbMzaYPK1AmCoLsQLjyWkyw562bN2WxF8StgiqSR+LTnk8D3gVPANaKkscBISdOBmcCpwCKSUjCzNyRdDJwtaS4rzGMfBW7NNSRpMnB/ZpnrPOAuSSNwZ1mDgX2APRs64iAImkebzhZaTVMVhZk9IOkgPKjGacBz6edFmWK/xA/RXciKA3dfyJyhADgRWIorm9yBuyF5Zyi2AZ7PtD1F0qHAaNyz4tPAIXGGIgjaCFW6SVHfeH21HAKWdDS+Ab0TruL+CZxmZndnyozCz35lecXMihruSOoN7A/sCGyUkhfgy/43m9ncYnWL0fST2WZ2E3BTiXwDRqWrWJl3gBPSVaxMvwJpE4AJFXc2CIJuhKj8kVb3wK5jqfIQMLA3/rJ7D/A2/gI8UdIuZvavTLkZqWyOYoeKVwHGJDmrJ5mv4TdmA+CDwLtp1WZEetZWRPh6CoKgTahGUSypX6s1HgI2s2/lyTkWP2u2H5BVFEvNbA7lGYEfIB4DXJa/US1pS9wqaiS+yT2GCokVvSAI2oScoqjkqiu1HgLOZ3VgTTp6et1a0ouSZkm6UtLWReofjc8UflbImsnMnjWz0fie8NFV9CtmFEEQtAvCn7OV8EY9G671EHA+o3HDnRsyaVNxv3fTcXP+U3GDoJ3M7NW8+h/C9znK8VAqWzExowiCoE2oakbRK+d5IV3DOkiTRkuyMtfeZTpU0T6ApB8AxwBfNbM3c+lmdrOZ/dnMHjWzW4Ev4c/tIwqIeQo4tILmDsMVT8XEjCIIgjahmj0K5ptZ/zJlxgKXlynzHDCAFYeA52XyeuN+6kqSlMRoYH8zu79UWTNbJOkJYNsC2WcAEyRtl/r9BL6MZbj1007At4DPAl8r168soSgqopopbS1s0EDZAFs2WD7ALo0V/7Gy/2+dY2H5Ip3ivQbLB/o02H3FEfc2Vv7x5YtUQP1ugpnNp+NyUgck1XoIGEk/xB/wB2TNYkuUXxPYHri9QH+vl3Qg8HPg9xR2WfQI8GUzu7lcW1lCUQRB0CZUNaOoG7UeApZ0Em559G1gpqTcfsZiM3sjlTkH+Cs+c+mNnztbG7ikSF8m4ia2W+AziI3wG7MAeCJtsldNKIogCNqE1iiKRNWHgPFJ1AdSnSyX4BvYAFsAf2LFstZ9wAAze5YSpIN+JSN+VkMoiiAI2oRVaOwScXFqOQRc6FBwgTqVbE5XhaReuNfYitdzQ1EEQdBGxCOtAj4L/JkqNnTirgZB0Ca0dOmprYm7GgRBm9CzFYWkP1RYtGozyJ57V4MgaDN6tqLAN8DfwE93l2KtagU3/WS2pE0lXSJpnqR3JD0p6bOZ/PEFTj/elydjDUnnS5ov6S1JNyRzsHJtH5zaW5J+Dm7EGIMgaAW5806VXG3Jc8DVZvbhUhfw3WoFN1VRSNoAd6kr4ED8QMoJQL5/9FuBTTPXAXn5Y4GD8aPoe+HBwW+UijujlzQQN0O7Aj8ddgVwtaQ9OjGkIAi6DC1zCthVmAaUO20OFboVydLsO3Yy8LKZDcmkzSpQbkkxt7q1uvTF3e/ebmY517pjJO2T0g+rchxBEHQ5evzS0w344b1yPImfBq+YZi89HQRMlXSVpLmSHpb0PUnKK7dnyp8p6XcpYlOOWl36DszWSUwsUycIgm5Dz55RmNmlZvaFCso9ZWanVyO72Ypia+A44Bngi3gc67NY2c3L3/HwgJ8HfgR8CrgthRqE2l369kllKqojaVjOs+S8eQvKDCsIgtbTsxVFI2n2HVsFmJbzdQL8U9K2uKK4AMDMrsyUfyw53HoW39O4toTsSlz6FnKSVbCOmY0DxgH07//xqtf0giBoNj1+6alhNHtG8TK+PpblKaBvsQpm9hLusyTnVncOK1z6ZulNxxlDljl0nD2UqxMEQbdBwBoVXu2NpPclLStyLZX0qqRJksouVUHzFcU9wHZ5aR/FZwwFSX5JNseVDEDWpW+uTCUufe/N1kkMKlMnCIJuQyw9ZfgZ7oBwHjAe+AXubHAe/uJ9GbAJcLOkL5UT1uw79is8jN9I3FT1k8D38RiuSFoHGAVcgyuGfrhv9bnAdVC7S198P+QuSSOSrMHAPsCejRtuEATNI5aeMryDW5TunxwWAiBpLeBmXGHsCtyEP39vLCWsqTMKM3sAt3z6BvA47ov9NOCiVGQZsDPwF2AmrgFnAAPNLBta5kR8v+IqfJayCA/Gke/Sd9NM21PwMIFH4EplCHCImU2t6yCDIGghMaNIfBf4VVZJAJjZYvyF/btm9j4e4Ojj5YQ1/Y6Z2U24FiuUtxi3hiono2qXviltAjCh0r4GQdCdiBlFht74MYJCrA5snH6fj9+4kjTdhUcQBEFjiD2KDNOAUZI2zSZK2gz4acoHdxD4UjlhPeKOBUHQE2hd4KIuyA/wKHuzJN2L7/P2xg8ev82KE9wfIcX5LkUoiiAI2oh4pAGY2UOSPoIfWt4D3/t9Gfgf4FwzezWV+0kl8uKuBkHQJsQeRZakDE6ph6y4q0EQtAmhKPKRtBG+3LQRvnE91cyq9kkUd7UiGv0HuH4DZQOUDdVRB/LPUdaZdQo6E64fn5jZWPnLyhfpNA1enl97o8bKL2wLWQ2hKLJIGo0vPWWPoi+RdI6ZnVaNrLirQRC0CbnARYGk4fiy08XA5axwYfRt4BRJ88zs15XKC0URBEGbEDOKDN8FzjOzEzNpM4A7JS3CvXhXrCjiHEUQBG2CcH+hlVxtTz+KL+bdlPIrJhRFEARtQhy4y/Aq8LEieTul/IrpEXcsCIKeQCw9ZbgO+JmkV4Erzew9SasBX8fDoF5SjbC4q0EQtBHxSEuMAD6BK4Q/SFqAm8iuCtxNlecr4q4GQdAmhAuPHGa2UNJn8Mige+FKYgFwJ3CzmVUVtbOpexSSZkuyAtdNKV+SRkl6SdJiSXdI2ilPxhqSzpc0X9Jbkm5IgYvKtX2wpCclLUk/BzdqnEEQtILYo8hizo1m9mMzOzr9/Fu1SgKav5m9Ox4jInftises/nPKPxk/IHJCKjsXmCRp3YyMscDBwGG4plwPuFFSUVMGSQPx2BVXALukn1dL2qNO4wqCoOW0TlHU8gIr6euSpkl6PdV5WNIRBcodJ2mWpHckPShpr7oPoAzNDlw0z8zm5C7gAOBN/KEtYDhwlpldY2aP40GG1gW+CSBpfeAo4CQzm2RmDwGH44E39i3R9HDgdjMbY2ZPmdkY4I6UHgRB29CyGcVYqnyBxS2PRgMD8GfY/wEXSzogV0DSIXh0zjPxiKBT8PClffOFlYmT3SFudjWDa9kcLCmGo4DLzextSVvjJwdvyZUxs8WS7gI+DfwW2A0PxpEt87ykp1KZiUWaGwicn5c2EfhenYYTBEHLaY3VU+YF9kgzm5TSDgeexV9gCz6XzOy2vKTz0oxiL+BvKe2HwHgz+136fIKk/YBj8Q3rLGfgKzR1p5WLdYOArfBQfOBKAuCVvHKvAJtnyizDnVvll+lDcfoUkVu0jqRhwDCAvn03L1YsCIIuQ8vMY2t9gV1OenH+HO40bWRKWz3JPiev+C1J7kqY2ajaul+eViqKo4EHzOzhvPR8jagCaflUUqYquWY2DhgH0L//JxqipYMgqCcts3qq9QU2Nxt5EXfctww43sxuTtm9cHPWQi+5pZba605LTmZL6g18BfhdJjnnHjT/xvZmxY2ag9+4XiXKFCLnEKuaOkEQdDsq3qPolTaSc9ewfEmSRhex0sxee5foTCUvsAtxA5vd8ZnEuZI+n1emlpfnutKqGcVQYAlwZSZtFv5AHwQ8ACBpTXy97qRU5kHgvVTmj6nMFsAO+CZPMe5Ndc7OpA0qUycIgm5FVUtP882sf5kyY3HPq6V4Dt+Mzr3Azsvk9QbuKlXZzN4H/p0+PixpB/ww3GR8hrKMLvCS23RFkdbi/gs/Vr4wl25mJmksMFLSdGAmcCqwiKQUzOwNSRcDZ0uai1sNnAs8CtyaaWMycL+Z5TZ7zgPukjQCP9o+GNgH2LORYw2CoJnUd4/CzObTcTmpY6tSrS+whViFFD/CzN5NsgcBV2fKDAKuqVJup2jFjGJvYFtWBPfO8ktgLeBCYENgKvCFrEIBTgSW4uci1sI17xAzy4aG2QZ4PvfBzKZIOhQ3RTsdeBo4xMym1mlMQRC0nJz32OZS6wuspJH4M+4ZXDkcgJv7n5ARfy5wmaT7gXtw9+GbAb9p9LiyNF1RmNnt+DdaKM+AUekqVv8d/EaeUKJMvwJpE4AJVXU2CIJuREsDF1X9AgusA/wvHoJyMTA91flTroCZXSVpY3x1ZVPgceAAM3u2gWPpQM84yx4EQQ+gdd5ja3mBTTOL/LMQhepdBFzUyS52ilAUQRC0CeFmvFHEXQ2CoE0IRdEo4q4GQdAmhKJoFHFXgyBoI+KR1ghUg2vyHoekebiDr0rpRQX2152g0fKb0UbIb2/5tbSxpZltUmtjkv5OR68NxZhvZvvV2lZPIxRFA5A0rYJTn11WfjPaCPntLb9ZbQTNoSW+noIgCILuQyiKIAiCoCShKBrDuG4uvxlthPz2lt+sNoImEHsUQRAEQUliRhEEQRCUJBRFEARBUJJQFEEQBEFJQlFUiaTPSLpB0ospFOLQCursLOlOSYtTvZ+kAE6dli+pX5EQjR0OE0kaIekBSW9Kmifpr5I+Vuf+V91GlWM4XtKjSf6bku6VdGAd+1+V/Gr6XqT+Kan8BfUaQ7Xyq7z/owqUm1NIbmf7HnQd4rx79ayD+4S/NF0lkbQeMAkPibg7sB0wHngL+J/Oys+wH/BI5vOCAmX2xt0VP4A7xjkDuFXSjmZWqHwt/a+6jSrH8ALwY+Bf+IvOEcD1knYzs0fr0P+q5FfZ9/y+DQCOxgPclCpX7Riqkp+h0jHMwL/nHMuKlKu570EXw8ziqvHCw7QOLVPmWOBNYK1M2qnAiySrs07K74cHWu9fQ//Xwf/Jv9yI/lfRRs1jSPUXAMc0ov8VyK+p78D6eKTFzwF3ABfU8zuoUn7FY8CDij1exTg7ff/jav0VS0+NZyDwDzNbnEmbiIcz7FfHdq6VNFfSPZK+VmGddfG35tdKlOls/ytpI0dVY5C0qjzE7ToUj01cc/8rlF9T3/EzBhPM7LYKytYyhmrk56h0DFunJaRZkq6UtHWd+x50MUJRNJ4+wCt5aa9k8jrLIuC/gW/gMXcnA1dJKhSTPJ/zgIeBe0uU6Wz/K2mjqjGkNe9FwBI8dvBgM3usXv2vUn7V91/S0cBHgNOKlenMGGqQX80YpgJDgf3xZa0+wBR5uM5O9z3omsQeRXPIP9WoIunVCzabz8prvdMk9QJOBi4vVk/SucCewJ62clzfgs3kVy+SXlMbNYxhBrALsAFwMHCJpL3N7PE69b9i+dX2XdJ2wJnAXmb2bpH2ax5DLfKrGYOZ3ZzX3n3AM/hezrmd6XvQdYkZReOZQ8c3p97pZ/6bVr2YCmxbLFPSr4DDgM+Z2TNlZNXU/yrbKETRMZjZu2b2bzObZh53+GE8uH0hqu5/lfKr6ju+FNMLeFzSUklLgc8Cx6XPa3RyDLXIr3YMyzGzRcATJcq24u8/qDOhKBrPvcBektbMpA0CXgJmN6jNXYCXC2VIOg/4Jv4An16BrKr7X0MbhdiFImMowCpAsQdgPe5/KfmF2IXifb8e2DmVyV3TgCvT74VmAdWMoRb5hdiFCu5/6tP2Jcq24u8/qDet3k3vbhe+sblLut4GfpJ+75vyfw5MzpRfH3+ruhL4GPBV3ArkR3WSfwT+UN4BNz38b/xhcGIB2Remtj+Hv+XlrnUyZTrb/1raqGYMZwF74RuhOydZ7wP716n/1cqvuO8l/qbuIGOV1Nkx1CC/mvt/Dj5D2QrYA7gx9WXLRvQ9rq5xtbwD3e3C7cetwDU+5Y8HZufV2Rm3I38Hf/P6KcXNGquSn/7Jn8Tt0t/E3x6/XUR2IbkGjMqU6Wz/q26jyjGMx6MNLgHmArcCX6xj/6uSX03fS/xN3cHKD/JOjaFa+VXe/yvx2cC7uInrNcCOjep7XF3jCu+xQRAEQUlijyIIgiAoSSiKIAiCoCShKIIgCIKShKIIgiAIShKKIgiCIChJKIogCIKgJKEogiAIgpKEogiajqSBkv4s6SVJ70p6VdIkSUdIWrVBbY7PRGS7I5M+NJP+0QL19s7k75tJPzWT/kIj+hwEXYVQFEFTkTQcuAfYCI8kty/wHWAm8L/AlxrY/Bzcad5xBfIWAocXSB+S8vL5vyTrb3XrXRB0UcLNeNA0JH0Gd0V9gZl9Py/7L8kt+doN7MISM7uvSN61wLcl/cSSuwJJa+Fuxq/BYzAsx8xeBF6UNK+B/Q2CLkHMKIJm8v/wsKInF8o0s6etdFzqRnIZsCUePyPHYGBVXFEEQY8lFEXQFNLew97ALWb2Tou7U4hnccd12eWnIcB1eAS4IOixhKIImkUvYC38gdxVuRT4uqQ1JW2K759c2uI+BUHLCUURdFkkrS3pTUlX5KVvI+luSTMl/VNS/zo1eTUeoOjLwLfwze/JdZIdBN2WUBRBs3gVWIzvA1TKIcAjwIGSNsyk/waPz/FRfL/jCkkqJKAazGwhHiHucHzZ6Qoze7+zcoOguxOKImgKZrYUD6AzqIq4zUcB/wNMxN/wkbQJMAC4JMmdlMruVqeuXgociAfbiWWnICAURdBczgI2Bs4ulClpK0kfT7/vAGyDh9q8GFcaAH2Bl8zsvUzVZ1N6PZgE/Bn4jZk9USeZQdCtiXMUQdMws7sk/RA4NymC8cBzwIbA54H/wmM3P4orhsvMbKmkW4GNJBWbNXR62SnTx2XAYfWSFwTtQMwogqZiZmPxswqvA+cAt+EKYwfgGOCvkj6A7xN8U9Js4BlgfVx5PAdslsrk2DKlB0HQAGJGETQdM5sCTCmWL2kw8JyZ7Z5J2wp4CPgRcD9+Uvp3kgbhM4oHK2lb0mreBVuW+jIeV1Sl+nsHebOWtHm+an56ELQjMaMIuiJH4Sell2Nms4DHga8D3wWOlDQT3+/4Vs7tRhm2BN6jPiavI5OsIXWQFQRdGlX2/xUE3RtJ/fBDfwALzWxGJ+VtCmyePr7bQtcjQdBwQlEEQRAEJYmlpyAIgqAkoSiCIAiCkoSiCIIgCEoSiiIIgiAoSSiKIAiCoCShKIIgCIKShKIIgiAIShKKIgiCICjJ/wcXXMa5J0W1TAAAAABJRU5ErkJggg==\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "heatmap = Grid_Search_Result(design_ranges, all_fim, store_optimality_name='test_heatmap.csv')\n", + "\n", + "heatmap.heatmap('Reactor case', '$C_{A0}$ [M]', 'T [K]')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyomo/contrib/doe/reactor_models.py b/pyomo/contrib/doe/reactor_models.py new file mode 100644 index 00000000000..1acb18d5d6d --- /dev/null +++ b/pyomo/contrib/doe/reactor_models.py @@ -0,0 +1,554 @@ +from pyomo.environ import * +from pyomo.dae import * +import numpy as np + + + +def discretizer(m, NFE=32): + discretizer = TransformationFactory('dae.collocation') + discretizer.apply_to(m, nfe=NFE, ncp=3, wrt=m.t) + return m + +def create_model_dae(scena, const=False, controls={0: 300, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}, + t_range=[0.0,1], CA_init=3, C_init=0.3, model_form='dae-index-1'): + ''' + This is an example user model provided to DoE library. + It is a dynamic problem solved by Pyomo.DAE. + + Arguments: + scena: a dictionary of scenarios, achieved from scenario_generator() + + Controlled time-dependent design variable: + - controls: a Dict, keys are control timepoints, values are the controlled T at that timepoint + + t_range: time range + + Time-independent design variable: + - CA_init: CA0 value + + C_init: An initial value for C + model_form: choose from 'ode-index-0' and 'dae-index-1' + + Return: + m: a Pyomo.DAE model + ''' + # parameters initialization, results from parameter estimation + theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + # concentration initialization + y_init = {'CA': CA_init, 'CB':0.0, 'CC':0.0} + + para_list = ['A1', 'A2', 'E1', 'E2'] + + ### Add variables + m = ConcreteModel() + + m.CA_init = CA_init + m.para_list = para_list + t_control = list(controls.keys()) + + m.scena_all = scena + m.scena = Set(initialize=scena['scena-name']) + + if model_form == 'ode-index-0': + m.index1 = False + elif model_form == 'dae-index-1': + m.index1 = True + else: + raise ValueError('Please choose from "ode-index-0" and "dae-index-1"') + + # timepoints + m.t = ContinuousSet(bounds=(t_range[0], t_range[1])) + + # Control time points + m.t_con = Set(initialize=t_control) + + m.t0 = Set(initialize=[0]) + + # time-independent design variable + m.CA0 = Var(m.t0, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L + + # time-dependent design variable, initialized with the first control value + def T_initial(m,t): + if t in m.t_con: + return controls[t] + else: + # count how many control points are before the current t; + # locate the nearest neighbouring control point before this t + j = -1 + for t_con in m.t_con: + if t>t_con: + j+=1 + neighbour_t = t_control[j] + return controls[neighbour_t] + + m.T = Var(m.t, initialize =T_initial, bounds=(300, 700), within=NonNegativeReals) + + m.R = 8.31446261815324 # J / K / mole + + # Define parameters + m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + # Concentration variables under perturbation + m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CB = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CC = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + + # time derivative of C + m.dCAdt = DerivativeVar(m.CA, wrt=m.t) + m.dCBdt = DerivativeVar(m.CB, wrt=m.t) + m.dCCdt = DerivativeVar(m.CC, wrt=m.t) + + # kinetic parameters + def kp1_init(m,s,t): + return m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t])) + def kp2_init(m,s,t): + return m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t])) + + m.kp1 = Var(m.scena, m.t, initialize=kp1_init) + m.kp2 = Var(m.scena, m.t, initialize=kp2_init) + + + def T_control(m,t): + ''' + T at interval timepoint equal to the T of the control time point at the beginning of this interval + Count how many control points are before the current t; + locate the nearest neighbouring control point before this t + ''' + if t in m.t_con: + return Constraint.Skip + else: + j = -1 + for t_con in m.t_con: + if t>t_con: + j+=1 + neighbour_t = t_control[j] + return m.T[t] == m.T[neighbour_t] + + + def cal_kp1(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: scenario number + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) + + def cal_kp2(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: m.pert, upper or normal or lower perturbation + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) + + def dCAdt_control(m,z,t): + ''' + Calculate CA in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCAdt[z,t] == -m.kp1[z,t]*m.CA[z,t] + + def dCBdt_control(m,z,t): + ''' + Calculate CB in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCBdt[z,t] == m.kp1[z,t]*m.CA[z,t] - m.kp2[z,t]*m.CB[z,t] + + def dCCdt_control(m,z,t): + ''' + Calculate CC in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCCdt[z,t] == m.kp2[z,t]*m.CB[z,t] + + def alge(m,z,t): + ''' + The algebraic equation for mole balance + z: m.pert + t: time + ''' + return m.CA[z,t] + m.CB[z,t] + m.CC[z,t] == m.CA0[0] + + + # Control time + m.T_rule = Constraint(m.t, rule=T_control) + + # calculating C, Jacobian, FIM + m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) + m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) + m.dCAdt_rule = Constraint(m.scena, m.t, rule=dCAdt_control) + m.dCBdt_rule = Constraint(m.scena, m.t, rule=dCBdt_control) + + # switch between DAE and ODE model + if m.index1: + m.alge_rule = Constraint(m.scena, m.t, rule=alge) + else: + m.dCCdt_rule = Constraint(m.scena, m.t, rule=dCCdt_control) + + # B.C. + for z in m.scena: + # only ODE model needs this BC + if not m.index1: + m.CA[z,0.0].fix(value(m.CA0[0])) + m.CB[z,0.0].fix(0.0) + m.CC[z,0.0].fix(0.0) + + return m + +def create_model_dae_const(scena, const=True, controls={0: 300}, t_range=[0.0,1], CA_init=3, C_init=0.3, model_form='dae-index-1'): + ''' + This is an example user model provided to DoE library. + It is a dynamic problem solved by Pyomo.DAE. + + Arguments: + scena: a dictionary of scenarios, achieved from scenario_generator() + + Controlled time-dependent design variable: + - controls: a Dict, keys are control timepoints, values are the controlled T at that timepoint + + t_range: time range + + Time-independent design variable: + - CA_init: CA0 value + + C_init: An initial value for C + model_form: choose from 'ode-index-0' and 'dae-index-1' + + Return: + m: a Pyomo.DAE model + ''' + # parameters initialization, results from parameter estimation + theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + # concentration initialization + y_init = {'CA': CA_init, 'CB':0.0, 'CC':0.0} + + para_list = ['A1', 'A2', 'E1', 'E2'] + + ### Add variables + m = ConcreteModel() + + m.CA_init = CA_init + m.para_list = para_list + t_control = list(controls.keys()) + + m.scena_all = scena + m.scena = Set(initialize=scena['scena-name']) + + if model_form == 'ode-index-0': + m.index1 = False + elif model_form == 'dae-index-1': + m.index1 = True + else: + raise ValueError('Please choose from "ode-index-0" and "dae-index-1"') + + # timepoints + m.t = ContinuousSet(bounds=(t_range[0], t_range[1])) + + # Control time points + m.t_con = Set(initialize=t_control) + + m.t0 = Set(initialize=[0]) + + # time-independent design variable + m.CA0 = Var(m.t0, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L + + # time-dependent design variable, initialized with the first control value + def T_initial(m,t): + if t in m.t_con: + return controls[t] + else: + # count how many control points are before the current t; + # locate the nearest neighbouring control point before this t + j = -1 + for t_con in m.t_con: + if t>t_con: + j+=1 + neighbour_t = t_control[j] + return controls[neighbour_t] + + m.T = Var(m.t, initialize =T_initial, bounds=(300, 700), within=NonNegativeReals) + + m.R = 8.31446261815324 # J / K / mole + + # Define parameters + m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + # Concentration variables under perturbation + m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CB = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CC = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + + # time derivative of C + m.dCAdt = DerivativeVar(m.CA, wrt=m.t) + m.dCBdt = DerivativeVar(m.CB, wrt=m.t) + m.dCCdt = DerivativeVar(m.CC, wrt=m.t) + + # kinetic parameters + def kp1_init(m,s,t): + return m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t])) + def kp2_init(m,s,t): + return m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t])) + + m.kp1 = Var(m.scena, m.t, initialize=kp1_init) + m.kp2 = Var(m.scena, m.t, initialize=kp2_init) + + + def T_control(m,t): + ''' + T at interval timepoint equal to the T of the control time point at the beginning of this interval + Count how many control points are before the current t; + locate the nearest neighbouring control point before this t + ''' + if t in m.t_con: + return Constraint.Skip + else: + j = -1 + for t_con in m.t_con: + if t>t_con: + j+=1 + neighbour_t = t_control[j] + return m.T[t] == m.T[neighbour_t] + + + def cal_kp1(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: scenario number + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) + + def cal_kp2(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: m.pert, upper or normal or lower perturbation + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) + + def dCAdt_control(m,z,t): + ''' + Calculate CA in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCAdt[z,t] == -m.kp1[z,t]*m.CA[z,t] + + def dCBdt_control(m,z,t): + ''' + Calculate CB in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCBdt[z,t] == m.kp1[z,t]*m.CA[z,t] - m.kp2[z,t]*m.CB[z,t] + + def dCCdt_control(m,z,t): + ''' + Calculate CC in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCCdt[z,t] == m.kp2[z,t]*m.CB[z,t] + + def alge(m,z,t): + ''' + The algebraic equation for mole balance + z: m.pert + t: time + ''' + return m.CA[z,t] + m.CB[z,t] + m.CC[z,t] == m.CA0[0] + + + # Control time + m.T_rule = Constraint(m.t, rule=T_control) + + # calculating C, Jacobian, FIM + m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) + m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) + m.dCAdt_rule = Constraint(m.scena, m.t, rule=dCAdt_control) + m.dCBdt_rule = Constraint(m.scena, m.t, rule=dCBdt_control) + + # switch between DAE and ODE model + if m.index1: + m.alge_rule = Constraint(m.scena, m.t, rule=alge) + else: + m.dCCdt_rule = Constraint(m.scena, m.t, rule=dCCdt_control) + + # B.C. + for z in m.scena: + # only ODE model needs this BC + if not m.index1: + m.CA[z,0.0].fix(value(m.CA0[0])) + m.CB[z,0.0].fix(0.0) + m.CC[z,0.0].fix(0.0) + + return m + + +time_an = list(np.linspace(0,1,97)) + +def create_model_alge(scena, CA_init=5, T_init=300, C_init=1): + ''' + This is an example user model provided to DoE library. + It is a problem using algebraic equations. + + Arguments: + scena: a dictionary of scenarios, achieved from scenario_generator() + + Time-independent design variable: + - CA_init: CA0 value + - T_init: T value + + C_init: initial value for C + + Return: + m: a Pyomo.DAE model + ''' + # parameters initialization, results from parameter estimation + theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + # concentration initialization + y_init = {'CA': value(CA_init), 'CB':0.0, 'CC':0.0} + + para_list = ['A1', 'A2', 'E1', 'E2'] + + ### Add variables + m = ConcreteModel() + + m.CA_init = CA_init + m.para_list = para_list + + m.scena_all = scena + m.scena = Set(initialize=scena['scena-name']) + + # timepoints + + #m.t = Set(initialize=[0,0.125,0.25,0.375,0.5,0.625,0.75,0.875,1]) + m.t = Set(initialize=time_an) + + m.t_con = Set(initialize=[0]) + + # time-independent design variable + m.CA0 = Var(m.t_con, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L + + m.T = Var(m.t, initialize = T_init, bounds=(300, 700), within=NonNegativeReals) + + m.R = 8.31446261815324 # J / K / mole + + # Define parameters + m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + # Concentration variables under perturbation + m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CB = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CC = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + + + # kinetic parameters + def kp1_init(m,s,t): + return m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t])) + + def kp2_init(m,s,t): + return m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t])) + + m.kp1 = Var(m.scena, m.t, initialize=kp1_init) + m.kp2 = Var(m.scena, m.t, initialize=kp2_init) + + def cal_kp1(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: scenario number + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) + + def cal_kp2(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: m.pert, upper or normal or lower perturbation + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) + + # Calculate model response variables + def CA_conc(m,z,t): + ''' + Calculate the model predictions + Argument: + z: scenario + t: timepoints + ''' + return m.CA[z,t] == m.CA0[0]*exp(-m.kp1[z,t]*t) + + def CB_conc(m,z,t): + ''' + Calculate the model predictions + Argument: + z: scenario + t: timepoints + ''' + return m.CB[z,t] == m.kp1[z,t]*m.CA0[0]/(m.kp2[z,t]-m.kp1[z,t]) * (exp(-m.kp1[z,t]*t) - exp(-m.kp2[z,t]*t)) + + def CC_conc(m,z,t): + ''' + Calculate the model predictions + Argument: + z: scenario + t: timepoints + ''' + return m.CC[z,t] == m.CA0[0] - m.CA[z,t] - m.CB[z,t] + + def CA0_const(m,t): + if t==0: + return Constraint.Skip + else: + return m.CA0[t] == m.CA0[0] + + def T_const(m,t): + if t==0: + return Constraint.Skip + else: + return m.T[t] == m.T[0] + + + # calculating C, Jacobian, FIM + m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) + m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) + m.dCAdt_rule = Constraint(m.scena, m.t, rule=CA_conc) + m.dCBdt_rule = Constraint(m.scena, m.t, rule=CB_conc) + m.dCCdt_rule = 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+5.0,350.0,2053.0909959474125,513228.2976445542,0.5753167063296618,2917.190381044787 +5.0,400.0,1600.843654620789,574493.5923426447,0.7786241106559912,1641.1009368547748 +5.0,450.0,1327.2645659113318,586703.6867346049,0.8912447563558519,1154.5643300518498 +5.0,500.0,1207.667323148074,560761.244544903,0.9075873160350136,1016.6953838933143 +5.0,550.0,1149.9941629861146,513459.05664163764,0.8647458183914464,1009.1034533531276 +5.0,600.0,1117.6516142451649,454517.04885885824,0.7970814188484145,1059.7997094874358 +5.0,650.0,1097.0815536086095,390533.5375384314,0.7286990827395959,1134.9974877008417 +5.0,700.0,1083.6008663096845,330586.4905784959,0.6727727401066618,1212.388775069196 From 61f7f4654e01746cf964576c7a771ab43f0d6481 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Tue, 3 Aug 2021 11:48:04 -0400 Subject: [PATCH 02/42] add a toggle for sipopt and kaug --- pyomo/contrib/doe/DoE_package.py | 8 +- pyomo/contrib/doe/reactor_control_doe.ipynb | 6826 +------------------ 2 files changed, 195 insertions(+), 6639 deletions(-) diff --git a/pyomo/contrib/doe/DoE_package.py b/pyomo/contrib/doe/DoE_package.py index d7b4b788150..2627b99fdfe 100644 --- a/pyomo/contrib/doe/DoE_package.py +++ b/pyomo/contrib/doe/DoE_package.py @@ -336,7 +336,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No return FIM_analysis - elif self.mode=='sequential_sipopt': + elif self.mode in ['sequential_sipopt', 'sequential_kaug']: # create scenario class for a base case scena_gen = Scenario_generator(self.param_init, formula=None, step=self.step) scenario_all = scena_gen.simultaneous_scenario() @@ -380,9 +380,11 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No list_perturb.append(eval('mod.'+elem+'[0]')) # solve model - m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=self.tee_opt) + if self.mode =='sequential_sipopt': + m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=self.tee_opt) # TODO: add k_aug solver - #m_sipopt = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=True) + else: + m_sipopt = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=True) # extract sipopt result for j in self.measurement_variables: diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 6c6edc47d49..3b45c755c6f 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -189,7 +189,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "id": "written-tours", "metadata": {}, "outputs": [ @@ -245,7 +245,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "d3ee5ff9", "metadata": {}, "outputs": [ @@ -261,7 +261,8 @@ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", "#sensi_opt = 'sequential_finite'\n", - "sensi_opt = 'sequential_sipopt'\n", + "#sensi_opt = 'sequential_sipopt'\n", + "sensi_opt = 'sequential_kaug'\n", "\n", "# Define experiments\n", "if (model_opt=='dynamic-DAE'):\n", @@ -274,7 +275,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "id": "latin-medicare", "metadata": { "scrolled": true @@ -291,8 +292,7 @@ "A2_pert : 371.71773413976416\n", "E1_pert : 7.777032028026428\n", "E2_pert : 15.047135137500822\n", - "Ipopt 3.13.3: run_sens=yes\n", - "\n", + "Ipopt 3.13.3: \n", "\n", "******************************************************************************\n", "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", @@ -414,8 +414,8 @@ "Number of equality constraint Jacobian evaluations = 73\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 71\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.075\n", - "Total CPU secs in NLP function evaluations = 0.010\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.069\n", + "Total CPU secs in NLP function evaluations = 0.009\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -424,463 +424,74 @@ "name": "stdout", "output_type": "stream", "text": [ - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 368.0005567983665\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "Ipopt 3.13.3: run_sens=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3371\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 677\n", - "\n", - "Total number of variables............................: 873\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 873\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.40e+01 9.97e+02 2.1 2.11e+04 - 2.06e-03 2.06e-03f 1\n", - " 6r 0.0000000e+00 2.29e+01 9.94e+02 0.7 2.03e+04 - 3.79e-04 3.68e-03f 1\n", - " 7r 0.0000000e+00 1.89e+01 2.56e+03 0.7 7.16e+03 - 2.16e-02 1.46e-03f 1\n", - " 8r 0.0000000e+00 6.78e+00 3.44e+03 0.7 1.05e+03 - 8.67e-03 1.74e-02f 1\n", - " 9r 0.0000000e+00 3.44e+00 9.48e+03 0.7 1.40e+02 - 6.67e-03 2.50e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 3.97e+00 9.11e+03 0.7 6.07e+01 - 1.66e-02 4.24e-02f 1\n", - " 11r 0.0000000e+00 4.22e+00 8.77e+03 0.7 2.54e+01 - 1.00e+00 6.44e-02f 1\n", - " 12r 0.0000000e+00 4.16e+00 1.23e+03 0.7 3.29e+00 - 1.00e+00 8.54e-01f 1\n", - " 13r 0.0000000e+00 3.59e+00 2.07e+02 0.7 3.66e+00 - 5.61e-01 1.00e+00f 1\n", - " 14r 0.0000000e+00 2.96e+00 4.16e+01 -0.0 5.02e+00 - 9.99e-01 8.82e-01f 1\n", - " 15r 0.0000000e+00 2.58e+00 4.27e+02 -0.7 2.73e+01 - 4.53e-01 1.07e-01f 1\n", - " 16r 0.0000000e+00 2.56e+00 4.33e+04 -0.7 1.57e+01 - 1.00e+00 1.67e-02f 1\n", - " 17r 0.0000000e+00 2.52e+00 1.78e+04 -0.7 1.25e+01 - 1.00e+00 5.33e-02f 1\n", - " 18r 0.0000000e+00 2.05e+00 3.96e+03 -0.7 1.08e+01 - 1.00e+00 6.10e-01f 1\n", - " 19r 0.0000000e+00 1.94e+00 2.41e+04 -0.7 8.03e+00 - 6.27e-01 1.46e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 1.71e+00 1.95e+04 -0.7 1.31e+01 - 1.39e-02 1.72e-01f 1\n", - " 21r 0.0000000e+00 1.57e+00 1.83e+04 -0.7 1.62e+01 - 4.71e-02 9.11e-02f 1\n", - " 22r 0.0000000e+00 1.48e+00 1.74e+04 -0.7 1.88e+01 - 5.08e-02 5.68e-02f 1\n", - " 23r 0.0000000e+00 1.38e+00 1.69e+04 -0.7 2.03e+01 - 3.87e-02 5.08e-02f 1\n", - " 24r 0.0000000e+00 1.28e+00 1.70e+04 -0.7 2.11e+01 - 3.03e-02 5.48e-02f 1\n", - " 25r 0.0000000e+00 1.25e+00 1.63e+04 -0.7 2.11e+01 - 2.88e-02 1.90e-02f 1\n", - " 26r 0.0000000e+00 1.18e+00 1.47e+04 -0.7 3.23e+01 - 3.64e-02 2.38e-02f 1\n", - " 27r 0.0000000e+00 1.14e+00 1.44e+04 -0.7 2.10e+01 - 2.08e-02 2.36e-02f 1\n", - " 28r 0.0000000e+00 1.08e+00 1.47e+04 -0.7 7.71e+01 - 7.21e-03 9.85e-03f 1\n", - " 29r 0.0000000e+00 1.06e+00 1.44e+04 -0.7 1.61e+01 - 3.49e-02 1.25e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.04e+00 1.41e+04 -0.7 5.75e+00 0.0 8.30e-02 5.19e-02f 1\n", - " 31r 0.0000000e+00 8.90e-01 2.06e+04 -0.7 1.64e+01 - 2.14e-03 1.14e-01f 1\n", - " 32r 0.0000000e+00 8.49e-01 2.04e+04 -0.7 3.27e+03 - 9.39e-05 1.59e-04f 1\n", - " 33r 0.0000000e+00 8.40e-01 1.93e+04 -0.7 2.07e+01 - 3.90e-02 5.49e-03f 1\n", - " 34r 0.0000000e+00 7.18e-01 1.78e+04 -0.7 2.04e+01 -0.5 5.74e-02 7.81e-02f 1\n", - " 35r 0.0000000e+00 7.12e-01 1.74e+04 -0.7 1.51e+01 - 6.25e-02 5.39e-03f 1\n", - " 36r 0.0000000e+00 5.95e-01 1.66e+04 -0.7 5.06e+01 -1.0 2.62e-03 3.07e-02f 1\n", - " 37r 0.0000000e+00 5.91e-01 1.76e+04 -0.7 1.69e+01 - 9.03e-02 3.09e-03f 1\n", - " 38r 0.0000000e+00 4.99e-01 2.45e+04 -0.7 1.37e+02 - 4.39e-04 9.12e-03f 1\n", - " 39r 0.0000000e+00 4.68e-01 1.66e+04 -0.7 4.45e+02 -1.4 8.43e-03 9.79e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 4.39e-01 1.58e+04 -0.7 1.12e+01 - 1.28e-01 3.82e-02f 1\n", - " 41r 0.0000000e+00 3.11e-01 1.56e+04 -0.7 1.88e+02 - 3.01e-04 9.57e-03f 1\n", - " 42r 0.0000000e+00 3.06e-01 1.78e+04 -0.7 1.55e+01 - 1.80e-01 5.42e-03f 1\n", - " 43r 0.0000000e+00 2.83e-01 1.95e+04 -0.7 3.70e+01 - 1.54e-03 6.91e-02f 1\n", - " 44r 0.0000000e+00 2.82e-01 3.14e+04 -0.7 1.91e+01 - 2.18e-01 3.74e-03f 1\n", - " 45r 0.0000000e+00 2.83e-01 2.53e+04 -0.7 2.65e+01 - 2.59e-03 7.36e-02f 1\n", - " 46r 0.0000000e+00 2.77e-01 2.69e+04 -0.7 1.26e+00 - 4.26e-02 2.27e-02f 1\n", - " 47r 0.0000000e+00 2.53e-01 2.41e+04 -0.7 1.00e+00 - 1.10e-01 8.74e-02f 1\n", - " 48r 0.0000000e+00 2.52e-01 2.64e+04 -0.7 9.41e-01 - 7.10e-02 1.20e-03h 1\n", - " 49r 0.0000000e+00 2.49e-01 2.60e+04 -0.7 1.28e+00 - 6.38e-03 1.53e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 2.02e-01 2.16e+04 -0.7 9.05e-01 - 6.69e-03 1.87e-01f 1\n", - " 51r 0.0000000e+00 2.02e-01 2.14e+04 -0.7 7.35e-01 - 1.95e-01 2.70e-03h 1\n", - " 52r 0.0000000e+00 1.64e-01 1.75e+04 -0.7 7.31e-01 - 4.13e-03 1.86e-01f 1\n", - " 53r 0.0000000e+00 1.64e-01 1.74e+04 -0.7 5.94e-01 - 1.01e-01 3.65e-03h 1\n", - " 54r 0.0000000e+00 1.35e-01 1.44e+04 -0.7 5.91e-01 - 5.43e-02 1.75e-01f 1\n", - " 55r 0.0000000e+00 1.34e-01 1.43e+04 -0.7 4.86e-01 - 8.09e-02 7.88e-03f 1\n", - " 56r 0.0000000e+00 1.12e-01 1.19e+04 -0.7 4.82e-01 - 5.49e-02 1.65e-01f 1\n", - " 57r 0.0000000e+00 1.05e-01 1.12e+04 -0.7 4.02e-01 - 8.70e-02 5.82e-02f 1\n", - " 58r 0.0000000e+00 9.02e-02 9.60e+03 -0.7 3.78e-01 - 7.23e-02 1.44e-01f 1\n", - " 59r 0.0000000e+00 8.32e-02 8.85e+03 -0.7 3.23e-01 - 1.08e-01 7.77e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 7.13e-02 7.59e+03 -0.7 2.97e-01 - 1.14e-01 1.43e-01f 1\n", - " 61r 0.0000000e+00 5.97e-02 6.35e+03 -0.7 2.54e-01 - 1.58e-01 1.63e-01f 1\n", - " 62r 0.0000000e+00 4.92e-02 5.24e+03 -0.7 2.12e-01 - 3.19e-01 1.75e-01f 1\n", - " 63r 0.0000000e+00 3.25e-02 3.46e+03 -0.7 1.74e-01 - 4.25e-01 3.41e-01f 1\n", - " 64r 0.0000000e+00 1.05e-02 5.44e+02 -0.7 1.15e-01 - 7.89e-01 8.42e-01f 1\n", - " 65r 0.0000000e+00 1.05e-02 1.27e-01 -0.7 1.77e-02 - 1.00e+00 1.00e+00f 1\n", - " 66r 0.0000000e+00 1.04e-02 4.02e+02 -3.2 4.99e-01 - 9.96e-01 7.70e-01f 1\n", - " 67r 0.0000000e+00 1.28e-03 4.63e+03 -3.2 1.75e+02 - 9.55e-01 1.44e-02f 1\n", - " 68r 0.0000000e+00 1.03e-03 5.51e+03 -3.2 3.42e+00 - 1.00e+00 2.81e-02f 1\n", - " 69r 0.0000000e+00 2.09e-05 1.12e+02 -3.2 4.19e-01 - 1.00e+00 9.80e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 8.74e-08 1.47e-05 -3.2 8.48e-03 - 1.00e+00 1.00e+00f 1\n", - " 71r 0.0000000e+00 4.26e-09 3.97e-01 -7.2 3.66e-05 - 1.00e+00 9.97e-01f 1\n", - "\n", - "Number of Iterations....: 71\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.6492325330122577e-09 4.2566097210568546e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.6492325330122577e-09 4.2566097210568546e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 78\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 78\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 73\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 71\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.076\n", - "Total CPU secs in NLP function evaluations = 0.010\n", - "\n", - "EXIT: Optimal Solution Found.\n" + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", + "Pass the option square_override for the desired behaviour\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "objpval: got NOBJ = 0; expected 0 <= NOBJ < 0\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 873\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 873\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 873, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3371\n", + "I[K_AUG]...\t[GET_HESS_ASL]No objective declared\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 677\n", + "ERROR: Solver (asl) returned non-zero return code (1)\n", + "ERROR: See the solver log above for diagnostic information.\n" + ] + }, + { + "ename": "ApplicationError", + "evalue": "Solver (asl) did not exit normally", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mApplicationError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_24458/2701946122.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mif_s\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdoe_object\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompute_FIM\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexp1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msensi_opt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mFIM_store_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'dynamic.csv'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscale_nominal_param_value\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mif_s\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mformula\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'central'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/pyomo/pyomo/contrib/doe/DoE_package.py\u001b[0m in \u001b[0;36mcompute_FIM\u001b[0;34m(self, design_values, mode, FIM_store_name, specified_prior, tee_opt, scale_nominal_param_value, scale_constant_value, formula, step, if_Cho, L_LB, L_initial)\u001b[0m\n\u001b[1;32m 385\u001b[0m \u001b[0;31m# TODO: add k_aug solver\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 386\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 387\u001b[0;31m \u001b[0mm_sipopt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msensitivity_calculation\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'k_aug'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist_original\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist_perturb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtee\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 388\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 389\u001b[0m \u001b[0;31m# extract sipopt result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/pyomo/pyomo/contrib/sensitivity_toolbox/sens.py\u001b[0m in \u001b[0;36msensitivity_calculation\u001b[0;34m(method, instance, paramList, perturbList, cloneModel, tee, keepfiles, solver_options)\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 164\u001b[0m \u001b[0mk_aug\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'dsdp_mode'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"\"\u001b[0m \u001b[0;31m#: sensitivity mode!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 165\u001b[0;31m \u001b[0mk_aug_interface\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mk_aug\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtee\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtee\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 166\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 167\u001b[0m \u001b[0msens\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mperturb_parameters\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mperturbList\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/pyomo/pyomo/contrib/sensitivity_toolbox/k_aug.py\u001b[0m in \u001b[0;36mk_aug\u001b[0;34m(self, model, **kwargs)\u001b[0m\n\u001b[1;32m 103\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 104\u001b[0m \u001b[0;31m# Call k_aug\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 105\u001b[0;31m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_k_aug\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 106\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 107\u001b[0m \u001b[0;31m# Read any files we expect as output\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/pyomo/pyomo/opt/base/solvers.py\u001b[0m in \u001b[0;36msolve\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m 593\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_status\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'log'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0m_status\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 594\u001b[0m \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Solver log:\\n\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_status\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 595\u001b[0;31m raise ApplicationError(\n\u001b[0m\u001b[1;32m 596\u001b[0m \"Solver (%s) did not exit normally\" % self.name)\n\u001b[1;32m 597\u001b[0m \u001b[0msolve_completion_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mApplicationError\u001b[0m: Solver (asl) did not exit normally" ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.699261707746163\n", - "E2_pert : 15.047135137500822\n", - "Ipopt 3.13.3: run_sens=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3371\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 677\n", - "\n", - "Total number of variables............................: 873\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 873\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.40e+01 9.97e+02 2.1 2.11e+04 - 2.06e-03 2.06e-03f 1\n", - " 6r 0.0000000e+00 2.29e+01 9.94e+02 0.7 2.03e+04 - 3.79e-04 3.68e-03f 1\n", - " 7r 0.0000000e+00 1.89e+01 2.56e+03 0.7 7.16e+03 - 2.16e-02 1.46e-03f 1\n", - " 8r 0.0000000e+00 6.78e+00 3.44e+03 0.7 1.05e+03 - 8.67e-03 1.74e-02f 1\n", - " 9r 0.0000000e+00 3.44e+00 9.48e+03 0.7 1.40e+02 - 6.67e-03 2.50e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 3.97e+00 9.11e+03 0.7 6.07e+01 - 1.66e-02 4.24e-02f 1\n", - " 11r 0.0000000e+00 4.22e+00 8.77e+03 0.7 2.54e+01 - 1.00e+00 6.44e-02f 1\n", - " 12r 0.0000000e+00 4.16e+00 1.23e+03 0.7 3.29e+00 - 1.00e+00 8.54e-01f 1\n", - " 13r 0.0000000e+00 3.59e+00 2.07e+02 0.7 3.66e+00 - 5.61e-01 1.00e+00f 1\n", - " 14r 0.0000000e+00 2.96e+00 4.16e+01 -0.0 5.02e+00 - 9.99e-01 8.82e-01f 1\n", - " 15r 0.0000000e+00 2.58e+00 4.27e+02 -0.7 2.73e+01 - 4.53e-01 1.07e-01f 1\n", - " 16r 0.0000000e+00 2.56e+00 4.33e+04 -0.7 1.57e+01 - 1.00e+00 1.67e-02f 1\n", - " 17r 0.0000000e+00 2.52e+00 1.78e+04 -0.7 1.25e+01 - 1.00e+00 5.33e-02f 1\n", - " 18r 0.0000000e+00 2.05e+00 3.96e+03 -0.7 1.08e+01 - 1.00e+00 6.10e-01f 1\n", - " 19r 0.0000000e+00 1.94e+00 2.41e+04 -0.7 8.03e+00 - 6.27e-01 1.46e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 1.71e+00 1.95e+04 -0.7 1.31e+01 - 1.39e-02 1.72e-01f 1\n", - " 21r 0.0000000e+00 1.57e+00 1.83e+04 -0.7 1.62e+01 - 4.71e-02 9.11e-02f 1\n", - " 22r 0.0000000e+00 1.48e+00 1.74e+04 -0.7 1.88e+01 - 5.08e-02 5.68e-02f 1\n", - " 23r 0.0000000e+00 1.38e+00 1.69e+04 -0.7 2.03e+01 - 3.87e-02 5.08e-02f 1\n", - " 24r 0.0000000e+00 1.28e+00 1.70e+04 -0.7 2.11e+01 - 3.03e-02 5.48e-02f 1\n", - " 25r 0.0000000e+00 1.25e+00 1.63e+04 -0.7 2.11e+01 - 2.88e-02 1.90e-02f 1\n", - " 26r 0.0000000e+00 1.18e+00 1.47e+04 -0.7 3.23e+01 - 3.64e-02 2.38e-02f 1\n", - " 27r 0.0000000e+00 1.14e+00 1.44e+04 -0.7 2.10e+01 - 2.08e-02 2.36e-02f 1\n", - " 28r 0.0000000e+00 1.08e+00 1.47e+04 -0.7 7.71e+01 - 7.21e-03 9.85e-03f 1\n", - " 29r 0.0000000e+00 1.06e+00 1.44e+04 -0.7 1.61e+01 - 3.49e-02 1.25e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.04e+00 1.41e+04 -0.7 5.75e+00 0.0 8.30e-02 5.19e-02f 1\n", - " 31r 0.0000000e+00 8.90e-01 2.06e+04 -0.7 1.64e+01 - 2.14e-03 1.14e-01f 1\n", - " 32r 0.0000000e+00 8.49e-01 2.04e+04 -0.7 3.27e+03 - 9.39e-05 1.59e-04f 1\n", - " 33r 0.0000000e+00 8.40e-01 1.93e+04 -0.7 2.07e+01 - 3.90e-02 5.49e-03f 1\n", - " 34r 0.0000000e+00 7.18e-01 1.78e+04 -0.7 2.04e+01 -0.5 5.74e-02 7.81e-02f 1\n", - " 35r 0.0000000e+00 7.12e-01 1.74e+04 -0.7 1.51e+01 - 6.25e-02 5.39e-03f 1\n", - " 36r 0.0000000e+00 5.95e-01 1.66e+04 -0.7 5.06e+01 -1.0 2.62e-03 3.07e-02f 1\n", - " 37r 0.0000000e+00 5.91e-01 1.76e+04 -0.7 1.69e+01 - 9.03e-02 3.09e-03f 1\n", - " 38r 0.0000000e+00 4.99e-01 2.45e+04 -0.7 1.37e+02 - 4.39e-04 9.12e-03f 1\n", - " 39r 0.0000000e+00 4.68e-01 1.66e+04 -0.7 4.45e+02 -1.4 8.43e-03 9.79e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 4.39e-01 1.58e+04 -0.7 1.12e+01 - 1.28e-01 3.82e-02f 1\n", - " 41r 0.0000000e+00 3.11e-01 1.56e+04 -0.7 1.88e+02 - 3.01e-04 9.57e-03f 1\n", - " 42r 0.0000000e+00 3.06e-01 1.78e+04 -0.7 1.55e+01 - 1.80e-01 5.42e-03f 1\n", - " 43r 0.0000000e+00 2.83e-01 1.95e+04 -0.7 3.70e+01 - 1.54e-03 6.91e-02f 1\n", - " 44r 0.0000000e+00 2.82e-01 3.14e+04 -0.7 1.91e+01 - 2.18e-01 3.74e-03f 1\n", - " 45r 0.0000000e+00 2.83e-01 2.53e+04 -0.7 2.65e+01 - 2.59e-03 7.36e-02f 1\n", - " 46r 0.0000000e+00 2.77e-01 2.69e+04 -0.7 1.26e+00 - 4.26e-02 2.27e-02f 1\n", - " 47r 0.0000000e+00 2.53e-01 2.41e+04 -0.7 1.00e+00 - 1.10e-01 8.74e-02f 1\n", - " 48r 0.0000000e+00 2.52e-01 2.64e+04 -0.7 9.41e-01 - 7.10e-02 1.20e-03h 1\n", - " 49r 0.0000000e+00 2.49e-01 2.60e+04 -0.7 1.28e+00 - 6.38e-03 1.53e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 2.02e-01 2.16e+04 -0.7 9.05e-01 - 6.69e-03 1.87e-01f 1\n", - " 51r 0.0000000e+00 2.02e-01 2.14e+04 -0.7 7.35e-01 - 1.95e-01 2.70e-03h 1\n", - " 52r 0.0000000e+00 1.64e-01 1.75e+04 -0.7 7.31e-01 - 4.13e-03 1.86e-01f 1\n", - " 53r 0.0000000e+00 1.64e-01 1.74e+04 -0.7 5.94e-01 - 1.01e-01 3.65e-03h 1\n", - " 54r 0.0000000e+00 1.35e-01 1.44e+04 -0.7 5.91e-01 - 5.43e-02 1.75e-01f 1\n", - " 55r 0.0000000e+00 1.34e-01 1.43e+04 -0.7 4.86e-01 - 8.09e-02 7.88e-03f 1\n", - " 56r 0.0000000e+00 1.12e-01 1.19e+04 -0.7 4.82e-01 - 5.49e-02 1.65e-01f 1\n", - " 57r 0.0000000e+00 1.05e-01 1.12e+04 -0.7 4.02e-01 - 8.70e-02 5.82e-02f 1\n", - " 58r 0.0000000e+00 9.02e-02 9.60e+03 -0.7 3.78e-01 - 7.23e-02 1.44e-01f 1\n", - " 59r 0.0000000e+00 8.32e-02 8.85e+03 -0.7 3.23e-01 - 1.08e-01 7.77e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 7.13e-02 7.59e+03 -0.7 2.97e-01 - 1.14e-01 1.43e-01f 1\n", - " 61r 0.0000000e+00 5.97e-02 6.35e+03 -0.7 2.54e-01 - 1.58e-01 1.63e-01f 1\n", - " 62r 0.0000000e+00 4.92e-02 5.24e+03 -0.7 2.12e-01 - 3.19e-01 1.75e-01f 1\n", - " 63r 0.0000000e+00 3.25e-02 3.46e+03 -0.7 1.74e-01 - 4.25e-01 3.41e-01f 1\n", - " 64r 0.0000000e+00 1.05e-02 5.44e+02 -0.7 1.15e-01 - 7.89e-01 8.42e-01f 1\n", - " 65r 0.0000000e+00 1.05e-02 1.27e-01 -0.7 1.77e-02 - 1.00e+00 1.00e+00f 1\n", - " 66r 0.0000000e+00 1.04e-02 4.02e+02 -3.2 4.99e-01 - 9.96e-01 7.70e-01f 1\n", - " 67r 0.0000000e+00 1.28e-03 4.63e+03 -3.2 1.75e+02 - 9.55e-01 1.44e-02f 1\n", - " 68r 0.0000000e+00 1.03e-03 5.51e+03 -3.2 3.42e+00 - 1.00e+00 2.81e-02f 1\n", - " 69r 0.0000000e+00 2.09e-05 1.12e+02 -3.2 4.19e-01 - 1.00e+00 9.80e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 8.74e-08 1.47e-05 -3.2 8.48e-03 - 1.00e+00 1.00e+00f 1\n", - " 71r 0.0000000e+00 4.26e-09 3.97e-01 -7.2 3.66e-05 - 1.00e+00 9.97e-01f 1\n", - "\n", - "Number of Iterations....: 71\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.6492325330122577e-09 4.2566097210568546e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.6492325330122577e-09 4.2566097210568546e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 78\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 78\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 73\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 71\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.084\n", - "Total CPU secs in NLP function evaluations = 0.011\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 14.896663786125814\n", - "Ipopt 3.13.3: run_sens=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3371\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 677\n", - "\n", - "Total number of variables............................: 873\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 873\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.40e+01 9.97e+02 2.1 2.11e+04 - 2.06e-03 2.06e-03f 1\n", - " 6r 0.0000000e+00 2.29e+01 9.94e+02 0.7 2.03e+04 - 3.79e-04 3.68e-03f 1\n", - " 7r 0.0000000e+00 1.89e+01 2.56e+03 0.7 7.16e+03 - 2.16e-02 1.46e-03f 1\n", - " 8r 0.0000000e+00 6.78e+00 3.44e+03 0.7 1.05e+03 - 8.67e-03 1.74e-02f 1\n", - " 9r 0.0000000e+00 3.44e+00 9.48e+03 0.7 1.40e+02 - 6.67e-03 2.50e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 3.97e+00 9.11e+03 0.7 6.07e+01 - 1.66e-02 4.24e-02f 1\n", - " 11r 0.0000000e+00 4.22e+00 8.77e+03 0.7 2.54e+01 - 1.00e+00 6.44e-02f 1\n", - " 12r 0.0000000e+00 4.16e+00 1.23e+03 0.7 3.29e+00 - 1.00e+00 8.54e-01f 1\n", - " 13r 0.0000000e+00 3.59e+00 2.07e+02 0.7 3.66e+00 - 5.61e-01 1.00e+00f 1\n", - " 14r 0.0000000e+00 2.96e+00 4.16e+01 -0.0 5.02e+00 - 9.99e-01 8.82e-01f 1\n", - " 15r 0.0000000e+00 2.58e+00 4.27e+02 -0.7 2.73e+01 - 4.53e-01 1.07e-01f 1\n", - " 16r 0.0000000e+00 2.56e+00 4.33e+04 -0.7 1.57e+01 - 1.00e+00 1.67e-02f 1\n", - " 17r 0.0000000e+00 2.52e+00 1.78e+04 -0.7 1.25e+01 - 1.00e+00 5.33e-02f 1\n", - " 18r 0.0000000e+00 2.05e+00 3.96e+03 -0.7 1.08e+01 - 1.00e+00 6.10e-01f 1\n", - " 19r 0.0000000e+00 1.94e+00 2.41e+04 -0.7 8.03e+00 - 6.27e-01 1.46e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 1.71e+00 1.95e+04 -0.7 1.31e+01 - 1.39e-02 1.72e-01f 1\n", - " 21r 0.0000000e+00 1.57e+00 1.83e+04 -0.7 1.62e+01 - 4.71e-02 9.11e-02f 1\n", - " 22r 0.0000000e+00 1.48e+00 1.74e+04 -0.7 1.88e+01 - 5.08e-02 5.68e-02f 1\n", - " 23r 0.0000000e+00 1.38e+00 1.69e+04 -0.7 2.03e+01 - 3.87e-02 5.08e-02f 1\n", - " 24r 0.0000000e+00 1.28e+00 1.70e+04 -0.7 2.11e+01 - 3.03e-02 5.48e-02f 1\n", - " 25r 0.0000000e+00 1.25e+00 1.63e+04 -0.7 2.11e+01 - 2.88e-02 1.90e-02f 1\n", - " 26r 0.0000000e+00 1.18e+00 1.47e+04 -0.7 3.23e+01 - 3.64e-02 2.38e-02f 1\n", - " 27r 0.0000000e+00 1.14e+00 1.44e+04 -0.7 2.10e+01 - 2.08e-02 2.36e-02f 1\n", - " 28r 0.0000000e+00 1.08e+00 1.47e+04 -0.7 7.71e+01 - 7.21e-03 9.85e-03f 1\n", - " 29r 0.0000000e+00 1.06e+00 1.44e+04 -0.7 1.61e+01 - 3.49e-02 1.25e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.04e+00 1.41e+04 -0.7 5.75e+00 0.0 8.30e-02 5.19e-02f 1\n", - " 31r 0.0000000e+00 8.90e-01 2.06e+04 -0.7 1.64e+01 - 2.14e-03 1.14e-01f 1\n", - " 32r 0.0000000e+00 8.49e-01 2.04e+04 -0.7 3.27e+03 - 9.39e-05 1.59e-04f 1\n", - " 33r 0.0000000e+00 8.40e-01 1.93e+04 -0.7 2.07e+01 - 3.90e-02 5.49e-03f 1\n", - " 34r 0.0000000e+00 7.18e-01 1.78e+04 -0.7 2.04e+01 -0.5 5.74e-02 7.81e-02f 1\n", - " 35r 0.0000000e+00 7.12e-01 1.74e+04 -0.7 1.51e+01 - 6.25e-02 5.39e-03f 1\n", - " 36r 0.0000000e+00 5.95e-01 1.66e+04 -0.7 5.06e+01 -1.0 2.62e-03 3.07e-02f 1\n", - " 37r 0.0000000e+00 5.91e-01 1.76e+04 -0.7 1.69e+01 - 9.03e-02 3.09e-03f 1\n", - " 38r 0.0000000e+00 4.99e-01 2.45e+04 -0.7 1.37e+02 - 4.39e-04 9.12e-03f 1\n", - " 39r 0.0000000e+00 4.68e-01 1.66e+04 -0.7 4.45e+02 -1.4 8.43e-03 9.79e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 4.39e-01 1.58e+04 -0.7 1.12e+01 - 1.28e-01 3.82e-02f 1\n", - " 41r 0.0000000e+00 3.11e-01 1.56e+04 -0.7 1.88e+02 - 3.01e-04 9.57e-03f 1\n", - " 42r 0.0000000e+00 3.06e-01 1.78e+04 -0.7 1.55e+01 - 1.80e-01 5.42e-03f 1\n", - " 43r 0.0000000e+00 2.83e-01 1.95e+04 -0.7 3.70e+01 - 1.54e-03 6.91e-02f 1\n", - " 44r 0.0000000e+00 2.82e-01 3.14e+04 -0.7 1.91e+01 - 2.18e-01 3.74e-03f 1\n", - " 45r 0.0000000e+00 2.83e-01 2.53e+04 -0.7 2.65e+01 - 2.59e-03 7.36e-02f 1\n", - " 46r 0.0000000e+00 2.77e-01 2.69e+04 -0.7 1.26e+00 - 4.26e-02 2.27e-02f 1\n", - " 47r 0.0000000e+00 2.53e-01 2.41e+04 -0.7 1.00e+00 - 1.10e-01 8.74e-02f 1\n", - " 48r 0.0000000e+00 2.52e-01 2.64e+04 -0.7 9.41e-01 - 7.10e-02 1.20e-03h 1\n", - " 49r 0.0000000e+00 2.49e-01 2.60e+04 -0.7 1.28e+00 - 6.38e-03 1.53e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 2.02e-01 2.16e+04 -0.7 9.05e-01 - 6.69e-03 1.87e-01f 1\n", - " 51r 0.0000000e+00 2.02e-01 2.14e+04 -0.7 7.35e-01 - 1.95e-01 2.70e-03h 1\n", - " 52r 0.0000000e+00 1.64e-01 1.75e+04 -0.7 7.31e-01 - 4.13e-03 1.86e-01f 1\n", - " 53r 0.0000000e+00 1.64e-01 1.74e+04 -0.7 5.94e-01 - 1.01e-01 3.65e-03h 1\n", - " 54r 0.0000000e+00 1.35e-01 1.44e+04 -0.7 5.91e-01 - 5.43e-02 1.75e-01f 1\n", - " 55r 0.0000000e+00 1.34e-01 1.43e+04 -0.7 4.86e-01 - 8.09e-02 7.88e-03f 1\n", - " 56r 0.0000000e+00 1.12e-01 1.19e+04 -0.7 4.82e-01 - 5.49e-02 1.65e-01f 1\n", - " 57r 0.0000000e+00 1.05e-01 1.12e+04 -0.7 4.02e-01 - 8.70e-02 5.82e-02f 1\n", - " 58r 0.0000000e+00 9.02e-02 9.60e+03 -0.7 3.78e-01 - 7.23e-02 1.44e-01f 1\n", - " 59r 0.0000000e+00 8.32e-02 8.85e+03 -0.7 3.23e-01 - 1.08e-01 7.77e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 7.13e-02 7.59e+03 -0.7 2.97e-01 - 1.14e-01 1.43e-01f 1\n", - " 61r 0.0000000e+00 5.97e-02 6.35e+03 -0.7 2.54e-01 - 1.58e-01 1.63e-01f 1\n", - " 62r 0.0000000e+00 4.92e-02 5.24e+03 -0.7 2.12e-01 - 3.19e-01 1.75e-01f 1\n", - " 63r 0.0000000e+00 3.25e-02 3.46e+03 -0.7 1.74e-01 - 4.25e-01 3.41e-01f 1\n", - " 64r 0.0000000e+00 1.05e-02 5.44e+02 -0.7 1.15e-01 - 7.89e-01 8.42e-01f 1\n", - " 65r 0.0000000e+00 1.05e-02 1.27e-01 -0.7 1.77e-02 - 1.00e+00 1.00e+00f 1\n", - " 66r 0.0000000e+00 1.04e-02 4.02e+02 -3.2 4.99e-01 - 9.96e-01 7.70e-01f 1\n", - " 67r 0.0000000e+00 1.28e-03 4.63e+03 -3.2 1.75e+02 - 9.55e-01 1.44e-02f 1\n", - " 68r 0.0000000e+00 1.03e-03 5.51e+03 -3.2 3.42e+00 - 1.00e+00 2.81e-02f 1\n", - " 69r 0.0000000e+00 2.09e-05 1.12e+02 -3.2 4.19e-01 - 1.00e+00 9.80e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 8.74e-08 1.47e-05 -3.2 8.48e-03 - 1.00e+00 1.00e+00f 1\n", - " 71r 0.0000000e+00 4.26e-09 3.97e-01 -7.2 3.66e-05 - 1.00e+00 9.97e-01f 1\n", - "\n", - "Number of Iterations....: 71\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.6492325330122577e-09 4.2566097210568546e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.6492325330122577e-09 4.2566097210568546e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 78\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 78\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 73\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 71\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.078\n", - "Total CPU secs in NLP function evaluations = 0.011\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 34.82842588 8.98465164 -93.24075867 -36.95321685]\n", - " [ 8.98465164 34.72021956 -19.10067921 -169.32118928]\n", - " [ -93.24075867 -19.10067921 261.98359165 82.95164765]\n", - " [ -36.95321685 -169.32118928 82.95164765 876.13524382]]\n", - "Trace: 1207.6674809121441\n", - "Determinant: 560758.4831259692\n", - "Condition number: 1016.698290931099\n", - "Minimal eigen value: 0.9075848753712111\n", - "Eigen values: [9.22739992e+02 2.81642456e+02 9.07584875e-01 2.37744860e+00]\n", - "Eigen vectors: [[ 0.05653299 -0.32983836 -0.77051799 0.54250595]\n", - " [ 0.1886326 0.01601913 0.56994741 0.79957556]\n", - " [-0.13533434 0.9325324 -0.26619805 0.20299395]\n", - " [-0.97103366 -0.14605948 0.10295907 0.15861803]]\n" - ] - } - ], - "source": [ - "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", - " ['CA','CB','CC'], t_measure, createmod,\n", - " prior_FIM=prior_pass, discretize_model=disc)\n", - "\n", - "\n", - "if_s = True\n", - "result = doe_object.compute_FIM(exp1,mode=sensi_opt, FIM_store_name = 'dynamic.csv', scale_nominal_param_value=if_s, formula='central')\n", - "\n", - "\n", - "if sensi_opt == 'simultaneous_finite':\n", - " result.extract_FIM(doe_object.m, doe_object.design_timeset,\n", - " doe_object.square_result, doe_object.obj_opt)\n", - "else:\n", - " result.calculate_FIM(doe_object.jac, doe_object.design_values)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "64fc6da4", - "metadata": {}, - "outputs": [ + } + ], + "source": [ + "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", + " ['CA','CB','CC'], t_measure, createmod,\n", + " prior_FIM=prior_pass, discretize_model=disc)\n", + "\n", + "\n", + "if_s = True\n", + "result = doe_object.compute_FIM(exp1,mode=sensi_opt, FIM_store_name = 'dynamic.csv', scale_nominal_param_value=if_s, formula='central')\n", + "\n", + "\n", + "if sensi_opt == 'simultaneous_finite':\n", + " result.extract_FIM(doe_object.m, doe_object.design_timeset,\n", + " doe_object.square_result, doe_object.obj_opt)\n", + "else:\n", + " result.calculate_FIM(doe_object.jac, doe_object.design_values)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "64fc6da4", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", @@ -915,7 +526,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "5273a9af", "metadata": {}, "outputs": [], @@ -929,4186 +540,131 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "940683df", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "========This is the No. 0 experiment.========\n", - "Design variables: {'CA0': {0: 5}, 'T': {0: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", - " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 3.13e-09 5.69e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.1284876911286119e-09 3.1284876911286119e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.1284876911286119e-09 3.1284876911286119e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", - " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 3.13e-09 5.69e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.1259617117029848e-09 3.1259617117029848e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.1259617117029848e-09 3.1259617117029848e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.87e+01 - 6.06e-02 9.90e-01h 1\n", - " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.87e-01 - 9.90e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 3.13e-09 5.72e-05 -1.0 1.85e-03 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.1282993973036355e-09 3.1282993973036355e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.1282993973036355e-09 3.1282993973036355e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", - " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 3.12e-09 5.73e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.1249562937318842e-09 3.1249562937318842e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.1249562937318842e-09 3.1249562937318842e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.87e+01 - 6.06e-02 9.90e-01h 1\n", - " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.87e-01 - 9.90e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 3.12e-09 5.71e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.1229880903538287e-09 3.1229880903538287e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.1229880903538287e-09 3.1229880903538287e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", - " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 3.13e-09 5.70e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.1255140697794559e-09 3.1255140697794559e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.1255140697794559e-09 3.1255140697794559e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", - " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 3.12e-09 5.67e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.1231515151830536e-09 3.1231515151830536e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.1231515151830536e-09 3.1231515151830536e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", - " 2 0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 3.13e-09 5.66e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.1265265931779140e-09 3.1265265931779140e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.1265265931779140e-09 3.1265265931779140e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Existed information has been added.\n", - "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", - " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", - " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", - " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", - "Trace: 1981.0422198461438\n", - "Determinant: 561207.9662178434\n", - "Condition number: 2950.219453820002\n", - "Minimal eigen value: 0.5016011129279737\n", - "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", - "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", - " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", - " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", - " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", - "========This is the No. 1 experiment.========\n", - "Design variables: {'CA0': {0: 5}, 'T': {0: 500.92}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.25e+02 2.36e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.25e+02 - 1.57e-01 5.72e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.52e+03 -1.0 1.17e+02 - 2.63e-01 8.72e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.40e+01 4.15e+04 2.1 2.04e+04 - 8.70e-03 2.37e-03f 1\n", - " 6r 0.0000000e+00 6.31e+01 4.14e+04 2.1 1.36e+04 - 5.46e-03 1.70e-03f 1\n", - " 7r 0.0000000e+00 3.91e+01 3.82e+04 2.1 8.53e+03 - 2.64e-02 2.86e-03f 1\n", - " 8r 0.0000000e+00 1.24e+01 3.06e+04 2.1 2.03e+03 - 7.54e-02 1.59e-02f 1\n", - " 9r 0.0000000e+00 6.91e+00 2.49e+04 2.1 1.57e+02 - 8.06e-02 3.64e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.37e+00 1.90e+04 2.1 1.28e+02 - 8.74e-02 3.85e-02f 1\n", - " 11r 0.0000000e+00 4.08e+00 1.29e+04 2.1 1.11e+02 - 1.61e-01 7.20e-02f 1\n", - " 12r 0.0000000e+00 2.87e+00 1.24e+04 2.1 8.55e+01 - 2.28e-01 1.47e-01f 1\n", - " 13r 0.0000000e+00 2.45e+00 9.50e+03 2.1 4.43e+01 - 4.35e-01 1.96e-01f 1\n", - " 14r 0.0000000e+00 9.07e-01 7.36e+03 2.1 2.88e+01 - 7.88e-01 3.44e-01f 1\n", - " 15r 0.0000000e+00 2.38e-01 1.38e+03 1.4 3.27e+00 - 1.00e+00 6.83e-01f 1\n", - " 16r 0.0000000e+00 1.79e-01 7.60e+02 0.7 2.76e+00 - 1.00e+00 5.57e-01f 1\n", - " 17r 0.0000000e+00 7.22e-02 2.59e+02 0.7 5.48e+00 - 8.55e-01 7.65e-01f 1\n", - " 18r 0.0000000e+00 4.95e-02 9.28e+02 -0.0 1.26e+00 - 9.84e-01 6.53e-01f 1\n", - " 19r 0.0000000e+00 5.16e-02 2.23e+03 -0.0 5.25e+00 - 1.00e+00 2.46e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.53e-02 5.01e+02 -0.0 3.18e+00 - 1.00e+00 8.03e-01f 1\n", - " 21r 0.0000000e+00 3.42e-02 1.67e-02 -0.0 6.75e-01 - 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 3.26e-02 3.37e+02 -2.1 7.70e-01 - 9.96e-01 7.61e-01f 1\n", - " 23r 0.0000000e+00 2.34e-02 2.70e+03 -2.1 6.20e+01 - 9.58e-01 4.89e-02f 1\n", - " 24r 0.0000000e+00 1.43e-02 3.23e+03 -2.1 4.74e+01 - 1.00e+00 5.95e-02f 1\n", - " 25r 0.0000000e+00 8.65e-03 3.32e+03 -2.1 3.68e+01 - 1.00e+00 7.68e-02f 1\n", - " 26r 0.0000000e+00 5.38e-03 2.74e+03 -2.1 3.27e+00 - 1.00e+00 2.32e-01f 1\n", - " 27r 0.0000000e+00 1.32e-04 1.52e+02 -2.1 1.23e+00 - 1.00e+00 9.58e-01f 1\n", - " 28r 0.0000000e+00 3.80e-06 8.66e-05 -2.1 4.80e-02 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 5.42e-07 1.64e+01 -4.8 1.58e-03 - 1.00e+00 9.70e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.08e-07 4.72e+01 -4.8 1.02e-04 - 1.00e+00 8.01e-01f 1\n", - " 31r 0.0000000e+00 3.54e-10 1.93e-09 -4.8 3.06e-05 - 1.00e+00 1.00e+00f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Number of Iterations....: 31\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.5396396924625151e-10 3.5396396924625151e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.5396396924625151e-10 3.5396396924625151e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 38\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 38\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 33\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 31\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.034\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.25e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.25e+02 - 1.57e-01 5.71e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.62e-01 8.69e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.73e-07R 6\n", - " 5r 0.0000000e+00 8.40e+01 4.15e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", - " 6r 0.0000000e+00 6.32e+01 4.14e+04 2.1 1.36e+04 - 5.48e-03 1.69e-03f 1\n", - " 7r 0.0000000e+00 3.90e+01 3.83e+04 2.1 8.53e+03 - 2.62e-02 2.88e-03f 1\n", - " 8r 0.0000000e+00 1.24e+01 3.06e+04 2.1 2.03e+03 - 7.54e-02 1.59e-02f 1\n", - " 9r 0.0000000e+00 6.91e+00 2.50e+04 2.1 1.57e+02 - 8.07e-02 3.63e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.36e+00 1.91e+04 2.1 1.28e+02 - 8.72e-02 3.85e-02f 1\n", - " 11r 0.0000000e+00 4.08e+00 1.29e+04 2.1 1.11e+02 - 1.61e-01 7.21e-02f 1\n", - " 12r 0.0000000e+00 2.87e+00 1.24e+04 2.1 8.55e+01 - 2.28e-01 1.46e-01f 1\n", - " 13r 0.0000000e+00 2.45e+00 9.54e+03 2.1 4.42e+01 - 4.35e-01 1.96e-01f 1\n", - " 14r 0.0000000e+00 9.07e-01 7.00e+03 2.1 2.88e+01 - 7.78e-01 3.44e-01f 1\n", - " 15r 0.0000000e+00 2.40e-01 1.39e+03 1.4 3.30e+00 - 1.00e+00 6.78e-01f 1\n", - " 16r 0.0000000e+00 1.78e-01 7.54e+02 0.7 2.77e+00 - 1.00e+00 5.57e-01f 1\n", - " 17r 0.0000000e+00 7.22e-02 2.72e+02 0.7 5.49e+00 - 8.61e-01 7.62e-01f 1\n", - " 18r 0.0000000e+00 4.96e-02 9.28e+02 -0.0 1.27e+00 - 9.83e-01 6.52e-01f 1\n", - " 19r 0.0000000e+00 5.17e-02 2.23e+03 -0.0 5.25e+00 - 1.00e+00 2.47e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.53e-02 5.08e+02 -0.0 3.18e+00 - 1.00e+00 8.03e-01f 1\n", - " 21r 0.0000000e+00 3.42e-02 1.73e-02 -0.0 6.73e-01 - 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 3.26e-02 3.38e+02 -2.1 7.70e-01 - 9.96e-01 7.61e-01f 1\n", - " 23r 0.0000000e+00 2.34e-02 2.70e+03 -2.1 6.20e+01 - 9.58e-01 4.89e-02f 1\n", - " 24r 0.0000000e+00 1.43e-02 3.22e+03 -2.1 4.74e+01 - 1.00e+00 5.94e-02f 1\n", - " 25r 0.0000000e+00 8.65e-03 3.32e+03 -2.1 3.68e+01 - 1.00e+00 7.68e-02f 1\n", - " 26r 0.0000000e+00 5.38e-03 2.74e+03 -2.1 3.27e+00 - 1.00e+00 2.31e-01f 1\n", - " 27r 0.0000000e+00 1.32e-04 1.53e+02 -2.1 1.23e+00 - 1.00e+00 9.58e-01f 1\n", - " 28r 0.0000000e+00 3.80e-06 8.40e-05 -2.1 4.80e-02 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 5.37e-07 1.62e+01 -4.8 1.58e-03 - 1.00e+00 9.70e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.07e-07 4.71e+01 -4.8 1.01e-04 - 1.00e+00 8.01e-01f 1\n", - " 31r 0.0000000e+00 3.54e-10 1.92e-09 -4.8 3.04e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 31\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.5360425698627296e-10 3.5360425698627296e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.5360425698627296e-10 3.5360425698627296e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 38\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 38\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 33\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 31\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.032\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.24e+02 - 1.57e-01 5.66e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.56e+03 -1.0 1.17e+02 - 2.62e-01 8.57e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.70e-07R 6\n", - " 5r 0.0000000e+00 8.40e+01 4.17e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", - " 6r 0.0000000e+00 6.35e+01 4.17e+04 2.1 1.36e+04 - 5.58e-03 1.66e-03f 1\n", - " 7r 0.0000000e+00 3.84e+01 3.87e+04 2.1 8.52e+03 - 2.54e-02 2.99e-03f 1\n", - " 8r 0.0000000e+00 1.23e+01 3.09e+04 2.1 2.02e+03 - 7.58e-02 1.60e-02f 1\n", - " 9r 0.0000000e+00 6.89e+00 2.54e+04 2.1 1.56e+02 - 8.11e-02 3.63e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.32e+00 1.95e+04 2.1 1.28e+02 - 8.64e-02 3.86e-02f 1\n", - " 11r 0.0000000e+00 4.03e+00 1.30e+04 2.1 1.11e+02 - 1.64e-01 7.24e-02f 1\n", - " 12r 0.0000000e+00 2.86e+00 1.25e+04 2.1 8.51e+01 - 2.29e-01 1.46e-01f 1\n", - " 13r 0.0000000e+00 2.44e+00 9.53e+03 2.1 4.40e+01 - 4.39e-01 1.97e-01f 1\n", - " 14r 0.0000000e+00 9.02e-01 6.19e+03 2.1 2.86e+01 - 7.47e-01 3.45e-01f 1\n", - " 15r 0.0000000e+00 2.45e-01 1.38e+03 1.4 3.38e+00 - 1.00e+00 6.64e-01f 1\n", - " 16r 0.0000000e+00 1.78e-01 7.41e+02 0.7 2.80e+00 - 1.00e+00 5.57e-01f 1\n", - " 17r 0.0000000e+00 7.35e-02 3.15e+02 0.7 5.51e+00 - 8.79e-01 7.55e-01f 1\n", - " 18r 0.0000000e+00 5.06e-02 9.30e+02 -0.0 1.28e+00 - 9.80e-01 6.50e-01f 1\n", - " 19r 0.0000000e+00 5.18e-02 2.22e+03 -0.0 5.30e+00 - 1.00e+00 2.49e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.53e-02 5.30e+02 -0.0 3.17e+00 - 1.00e+00 7.99e-01f 1\n", - " 21r 0.0000000e+00 3.41e-02 1.94e-02 -0.0 6.88e-01 - 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 3.25e-02 3.41e+02 -2.1 7.67e-01 - 9.95e-01 7.60e-01f 1\n", - " 23r 0.0000000e+00 2.32e-02 2.68e+03 -2.1 6.18e+01 - 9.58e-01 4.94e-02f 1\n", - " 24r 0.0000000e+00 1.41e-02 3.21e+03 -2.1 4.72e+01 - 1.00e+00 5.99e-02f 1\n", - " 25r 0.0000000e+00 8.53e-03 3.31e+03 -2.1 3.67e+01 - 1.00e+00 7.71e-02f 1\n", - " 26r 0.0000000e+00 5.40e-03 2.76e+03 -2.1 3.17e+00 - 1.00e+00 2.28e-01f 1\n", - " 27r 0.0000000e+00 1.25e-04 1.49e+02 -2.1 1.22e+00 - 1.00e+00 9.60e-01f 1\n", - " 28r 0.0000000e+00 3.82e-06 8.18e-05 -2.1 4.56e-02 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 5.25e-07 1.56e+01 -4.8 1.58e-03 - 1.00e+00 9.71e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.04e-07 4.66e+01 -4.8 9.97e-05 - 1.00e+00 8.02e-01f 1\n", - " 31r 0.0000000e+00 3.53e-10 1.90e-09 -4.8 3.00e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 31\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.5262992525986192e-10 3.5262992525986192e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.5262992525986192e-10 3.5262992525986192e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 38\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 38\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 33\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 31\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.034\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.25e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.25e+02 - 1.57e-01 5.71e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.52e+03 -1.0 1.17e+02 - 2.62e-01 8.69e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.73e-07R 6\n", - " 5r 0.0000000e+00 8.39e+01 4.15e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", - " 6r 0.0000000e+00 6.32e+01 4.14e+04 2.1 1.36e+04 - 5.53e-03 1.69e-03f 1\n", - " 7r 0.0000000e+00 3.88e+01 3.83e+04 2.1 8.51e+03 - 2.60e-02 2.90e-03f 1\n", - " 8r 0.0000000e+00 1.23e+01 3.06e+04 2.1 2.03e+03 - 7.52e-02 1.60e-02f 1\n", - " 9r 0.0000000e+00 6.89e+00 2.50e+04 2.1 1.57e+02 - 8.07e-02 3.63e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.34e+00 1.91e+04 2.1 1.28e+02 - 8.70e-02 3.85e-02f 1\n", - " 11r 0.0000000e+00 4.05e+00 1.29e+04 2.1 1.11e+02 - 1.63e-01 7.22e-02f 1\n", - " 12r 0.0000000e+00 2.87e+00 1.24e+04 2.1 8.53e+01 - 2.28e-01 1.46e-01f 1\n", - " 13r 0.0000000e+00 2.44e+00 9.52e+03 2.1 4.42e+01 - 4.36e-01 1.97e-01f 1\n", - " 14r 0.0000000e+00 9.04e-01 7.21e+03 2.1 2.86e+01 - 7.81e-01 3.44e-01f 1\n", - " 15r 0.0000000e+00 2.38e-01 1.36e+03 1.4 3.29e+00 - 1.00e+00 6.80e-01f 1\n", - " 16r 0.0000000e+00 1.79e-01 7.56e+02 0.7 2.76e+00 - 1.00e+00 5.58e-01f 1\n", - " 17r 0.0000000e+00 7.32e-02 2.69e+02 0.7 5.48e+00 - 8.62e-01 7.64e-01f 1\n", - " 18r 0.0000000e+00 5.03e-02 9.27e+02 -0.0 1.26e+00 - 9.84e-01 6.53e-01f 1\n", - " 19r 0.0000000e+00 5.15e-02 2.24e+03 -0.0 5.29e+00 - 1.00e+00 2.45e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.52e-02 5.09e+02 -0.0 3.17e+00 - 1.00e+00 7.99e-01f 1\n", - " 21r 0.0000000e+00 3.41e-02 1.72e-02 -0.0 6.84e-01 - 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 3.24e-02 3.36e+02 -2.1 7.66e-01 - 9.95e-01 7.61e-01f 1\n", - " 23r 0.0000000e+00 2.32e-02 2.69e+03 -2.1 6.18e+01 - 9.58e-01 4.95e-02f 1\n", - " 24r 0.0000000e+00 1.40e-02 3.22e+03 -2.1 4.71e+01 - 1.00e+00 6.03e-02f 1\n", - " 25r 0.0000000e+00 8.49e-03 3.32e+03 -2.1 3.66e+01 - 1.00e+00 7.68e-02f 1\n", - " 26r 0.0000000e+00 5.37e-03 2.74e+03 -2.1 3.13e+00 - 1.00e+00 2.30e-01f 1\n", - " 27r 0.0000000e+00 1.22e-04 1.43e+02 -2.1 1.22e+00 - 1.00e+00 9.61e-01f 1\n", - " 28r 0.0000000e+00 3.82e-06 8.63e-05 -2.1 4.44e-02 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 5.33e-07 1.59e+01 -4.8 1.58e-03 - 1.00e+00 9.70e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.05e-07 4.66e+01 -4.8 1.01e-04 - 1.00e+00 8.02e-01f 1\n", - " 31r 0.0000000e+00 3.52e-10 1.93e-09 -4.8 3.04e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 31\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.5229241746037587e-10 3.5229241746037587e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.5229241746037587e-10 3.5229241746037587e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 38\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 38\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 33\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 31\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.24e+02 - 1.57e-01 5.69e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.54e+03 -1.0 1.17e+02 - 2.62e-01 8.66e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.72e-07R 6\n", - " 5r 0.0000000e+00 8.39e+01 4.16e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", - " 6r 0.0000000e+00 6.33e+01 4.15e+04 2.1 1.36e+04 - 5.52e-03 1.68e-03f 1\n", - " 7r 0.0000000e+00 3.87e+01 3.84e+04 2.1 8.52e+03 - 2.60e-02 2.92e-03f 1\n", - " 8r 0.0000000e+00 1.23e+01 3.07e+04 2.1 2.03e+03 - 7.56e-02 1.60e-02f 1\n", - " 9r 0.0000000e+00 6.91e+00 2.51e+04 2.1 1.57e+02 - 8.07e-02 3.63e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.35e+00 1.92e+04 2.1 1.28e+02 - 8.70e-02 3.85e-02f 1\n", - " 11r 0.0000000e+00 4.06e+00 1.29e+04 2.1 1.11e+02 - 1.62e-01 7.22e-02f 1\n", - " 12r 0.0000000e+00 2.87e+00 1.24e+04 2.1 8.54e+01 - 2.28e-01 1.46e-01f 1\n", - " 13r 0.0000000e+00 2.44e+00 9.56e+03 2.1 4.42e+01 - 4.36e-01 1.96e-01f 1\n", - " 14r 0.0000000e+00 9.06e-01 6.65e+03 2.1 2.87e+01 - 7.65e-01 3.44e-01f 1\n", - " 15r 0.0000000e+00 2.42e-01 1.39e+03 1.4 3.33e+00 - 1.00e+00 6.72e-01f 1\n", - " 16r 0.0000000e+00 1.78e-01 7.48e+02 0.7 2.78e+00 - 1.00e+00 5.57e-01f 1\n", - " 17r 0.0000000e+00 7.25e-02 2.88e+02 0.7 5.49e+00 - 8.68e-01 7.59e-01f 1\n", - " 18r 0.0000000e+00 4.98e-02 9.28e+02 -0.0 1.27e+00 - 9.82e-01 6.51e-01f 1\n", - " 19r 0.0000000e+00 5.17e-02 2.23e+03 -0.0 5.26e+00 - 1.00e+00 2.48e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.52e-02 5.14e+02 -0.0 3.18e+00 - 1.00e+00 8.03e-01f 1\n", - " 21r 0.0000000e+00 3.41e-02 1.79e-02 -0.0 6.76e-01 - 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 3.25e-02 3.39e+02 -2.1 7.69e-01 - 9.96e-01 7.60e-01f 1\n", - " 23r 0.0000000e+00 2.33e-02 2.69e+03 -2.1 6.19e+01 - 9.58e-01 4.91e-02f 1\n", - " 24r 0.0000000e+00 1.42e-02 3.21e+03 -2.1 4.73e+01 - 1.00e+00 5.97e-02f 1\n", - " 25r 0.0000000e+00 8.60e-03 3.32e+03 -2.1 3.67e+01 - 1.00e+00 7.67e-02f 1\n", - " 26r 0.0000000e+00 5.37e-03 2.74e+03 -2.1 3.22e+00 - 1.00e+00 2.32e-01f 1\n", - " 27r 0.0000000e+00 1.28e-04 1.50e+02 -2.1 1.22e+00 - 1.00e+00 9.59e-01f 1\n", - " 28r 0.0000000e+00 3.80e-06 8.23e-05 -2.1 4.66e-02 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 5.31e-07 1.59e+01 -4.8 1.58e-03 - 1.00e+00 9.70e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.05e-07 4.68e+01 -4.8 1.00e-04 - 1.00e+00 8.02e-01f 1\n", - " 31r 0.0000000e+00 3.53e-10 1.90e-09 -4.8 3.01e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 31\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.5265834696929232e-10 3.5265834696929232e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.5265834696929232e-10 3.5265834696929232e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 38\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 38\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 33\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 31\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.25e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.25e+02 - 1.57e-01 5.71e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.62e-01 8.69e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.73e-07R 6\n", - " 5r 0.0000000e+00 8.40e+01 4.15e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", - " 6r 0.0000000e+00 6.32e+01 4.14e+04 2.1 1.36e+04 - 5.49e-03 1.69e-03f 1\n", - " 7r 0.0000000e+00 3.88e+01 3.83e+04 2.1 8.53e+03 - 2.61e-02 2.89e-03f 1\n", - " 8r 0.0000000e+00 1.24e+01 3.06e+04 2.1 2.03e+03 - 7.55e-02 1.60e-02f 1\n", - " 9r 0.0000000e+00 6.91e+00 2.50e+04 2.1 1.57e+02 - 8.05e-02 3.63e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.35e+00 1.91e+04 2.1 1.28e+02 - 8.72e-02 3.85e-02f 1\n", - " 11r 0.0000000e+00 4.07e+00 1.29e+04 2.1 1.11e+02 - 1.62e-01 7.21e-02f 1\n", - " 12r 0.0000000e+00 2.87e+00 1.24e+04 2.1 8.54e+01 - 2.28e-01 1.46e-01f 1\n", - " 13r 0.0000000e+00 2.44e+00 9.52e+03 2.1 4.42e+01 - 4.36e-01 1.96e-01f 1\n", - " 14r 0.0000000e+00 9.06e-01 7.12e+03 2.1 2.87e+01 - 7.80e-01 3.44e-01f 1\n", - " 15r 0.0000000e+00 2.39e-01 1.38e+03 1.4 3.29e+00 - 1.00e+00 6.79e-01f 1\n", - " 16r 0.0000000e+00 1.78e-01 7.55e+02 0.7 2.76e+00 - 1.00e+00 5.57e-01f 1\n", - " 17r 0.0000000e+00 7.25e-02 2.69e+02 0.7 5.48e+00 - 8.60e-01 7.63e-01f 1\n", - " 18r 0.0000000e+00 4.97e-02 9.27e+02 -0.0 1.27e+00 - 9.83e-01 6.52e-01f 1\n", - " 19r 0.0000000e+00 5.16e-02 2.23e+03 -0.0 5.26e+00 - 1.00e+00 2.46e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.52e-02 5.06e+02 -0.0 3.18e+00 - 1.00e+00 8.02e-01f 1\n", - " 21r 0.0000000e+00 3.41e-02 1.71e-02 -0.0 6.77e-01 - 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 3.25e-02 3.37e+02 -2.1 7.69e-01 - 9.95e-01 7.61e-01f 1\n", - " 23r 0.0000000e+00 2.33e-02 2.69e+03 -2.1 6.19e+01 - 9.58e-01 4.91e-02f 1\n", - " 24r 0.0000000e+00 1.42e-02 3.22e+03 -2.1 4.73e+01 - 1.00e+00 5.98e-02f 1\n", - " 25r 0.0000000e+00 8.60e-03 3.32e+03 -2.1 3.67e+01 - 1.00e+00 7.67e-02f 1\n", - " 26r 0.0000000e+00 5.37e-03 2.74e+03 -2.1 3.22e+00 - 1.00e+00 2.32e-01f 1\n", - " 27r 0.0000000e+00 1.28e-04 1.49e+02 -2.1 1.22e+00 - 1.00e+00 9.59e-01f 1\n", - " 28r 0.0000000e+00 3.81e-06 8.48e-05 -2.1 4.65e-02 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 5.35e-07 1.61e+01 -4.8 1.58e-03 - 1.00e+00 9.70e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.06e-07 4.69e+01 -4.8 1.01e-04 - 1.00e+00 8.02e-01f 1\n", - " 31r 0.0000000e+00 3.53e-10 1.92e-09 -4.8 3.04e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 31\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.5302250012136938e-10 3.5302250012136938e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.5302250012136938e-10 3.5302250012136938e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 38\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 38\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 33\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 31\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.25e+02 2.36e+01 -1.0 1.98e+02 - 1.48e-02 3.70e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.25e+02 - 1.57e-01 5.76e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.49e+03 -1.0 1.17e+02 - 2.63e-01 8.81e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.77e-07R 6\n", - " 5r 0.0000000e+00 8.39e+01 4.13e+04 2.1 2.04e+04 - 8.69e-03 2.37e-03f 1\n", - " 6r 0.0000000e+00 6.28e+01 4.11e+04 2.1 1.36e+04 - 5.41e-03 1.72e-03f 1\n", - " 7r 0.0000000e+00 3.94e+01 3.79e+04 2.1 8.53e+03 - 2.67e-02 2.78e-03f 1\n", - " 8r 0.0000000e+00 1.24e+01 3.04e+04 2.1 2.03e+03 - 7.48e-02 1.59e-02f 1\n", - " 9r 0.0000000e+00 6.91e+00 2.47e+04 2.1 1.57e+02 - 8.01e-02 3.64e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.38e+00 1.88e+04 2.1 1.28e+02 - 8.78e-02 3.83e-02f 1\n", - " 11r 0.0000000e+00 4.10e+00 1.29e+04 2.1 1.11e+02 - 1.60e-01 7.17e-02f 1\n", - " 12r 0.0000000e+00 2.88e+00 1.24e+04 2.1 8.58e+01 - 2.27e-01 1.47e-01f 1\n", - " 13r 0.0000000e+00 2.45e+00 9.51e+03 2.1 4.44e+01 - 4.32e-01 1.96e-01f 1\n", - " 14r 0.0000000e+00 9.07e-01 7.42e+03 2.1 2.88e+01 - 7.92e-01 3.44e-01f 1\n", - " 15r 0.0000000e+00 2.35e-01 1.35e+03 1.4 3.25e+00 - 1.00e+00 6.86e-01f 1\n", - " 16r 0.0000000e+00 1.78e-01 7.64e+02 0.7 2.74e+00 - 1.00e+00 5.57e-01f 1\n", - " 17r 0.0000000e+00 7.13e-02 2.51e+02 0.7 5.47e+00 - 8.50e-01 7.66e-01f 1\n", - " 18r 0.0000000e+00 4.98e-02 9.29e+02 -0.0 1.26e+00 - 9.85e-01 6.53e-01f 1\n", - " 19r 0.0000000e+00 5.15e-02 2.23e+03 -0.0 5.22e+00 - 1.00e+00 2.46e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.53e-02 4.90e+02 -0.0 3.18e+00 - 1.00e+00 8.07e-01f 1\n", - " 21r 0.0000000e+00 3.42e-02 1.57e-02 -0.0 6.62e-01 - 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 3.26e-02 3.36e+02 -2.1 7.72e-01 - 9.96e-01 7.62e-01f 1\n", - " 23r 0.0000000e+00 2.35e-02 2.71e+03 -2.1 6.21e+01 - 9.58e-01 4.86e-02f 1\n", - " 24r 0.0000000e+00 1.44e-02 3.23e+03 -2.1 4.76e+01 - 1.00e+00 5.92e-02f 1\n", - " 25r 0.0000000e+00 8.72e-03 3.33e+03 -2.1 3.68e+01 - 1.00e+00 7.65e-02f 1\n", - " 26r 0.0000000e+00 5.36e-03 2.72e+03 -2.1 3.32e+00 - 1.00e+00 2.35e-01f 1\n", - " 27r 0.0000000e+00 1.35e-04 1.54e+02 -2.1 1.22e+00 - 1.00e+00 9.57e-01f 1\n", - " 28r 0.0000000e+00 3.80e-06 8.72e-05 -2.1 4.91e-02 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 5.47e-07 1.67e+01 -4.8 1.57e-03 - 1.00e+00 9.69e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.09e-07 4.73e+01 -4.8 1.03e-04 - 1.00e+00 8.00e-01f 1\n", - " 31r 0.0000000e+00 3.54e-10 1.93e-09 -4.8 3.07e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 31\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.5395952835415301e-10 3.5395952835415301e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.5395952835415301e-10 3.5395952835415301e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 38\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 38\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 33\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 31\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.034\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.98e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.25e+02 2.37e+01 -1.0 1.98e+02 - 1.48e-02 3.71e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.24e+01 -1.0 1.25e+02 - 1.57e-01 5.71e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.69e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.73e-07R 6\n", - " 5r 0.0000000e+00 8.40e+01 4.16e+04 2.1 2.04e+04 - 8.70e-03 2.37e-03f 1\n", - " 6r 0.0000000e+00 6.32e+01 4.15e+04 2.1 1.36e+04 - 5.45e-03 1.69e-03f 1\n", - " 7r 0.0000000e+00 3.90e+01 3.84e+04 2.1 8.55e+03 - 2.64e-02 2.87e-03f 1\n", - " 8r 0.0000000e+00 1.24e+01 3.07e+04 2.1 2.03e+03 - 7.58e-02 1.59e-02f 1\n", - " 9r 0.0000000e+00 6.93e+00 2.50e+04 2.1 1.57e+02 - 8.06e-02 3.64e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.38e+00 1.91e+04 2.1 1.28e+02 - 8.73e-02 3.85e-02f 1\n", - " 11r 0.0000000e+00 4.09e+00 1.29e+04 2.1 1.11e+02 - 1.60e-01 7.20e-02f 1\n", - " 12r 0.0000000e+00 2.88e+00 1.24e+04 2.1 8.56e+01 - 2.27e-01 1.47e-01f 1\n", - " 13r 0.0000000e+00 2.46e+00 9.54e+03 2.1 4.42e+01 - 4.34e-01 1.95e-01f 1\n", - " 14r 0.0000000e+00 9.09e-01 7.00e+03 2.1 2.88e+01 - 7.79e-01 3.45e-01f 1\n", - " 15r 0.0000000e+00 2.41e-01 1.40e+03 1.4 3.29e+00 - 1.00e+00 6.78e-01f 1\n", - " 16r 0.0000000e+00 1.78e-01 7.54e+02 0.7 2.77e+00 - 1.00e+00 5.56e-01f 1\n", - " 17r 0.0000000e+00 7.14e-02 2.69e+02 0.7 5.48e+00 - 8.58e-01 7.62e-01f 1\n", - " 18r 0.0000000e+00 5.00e-02 9.29e+02 -0.0 1.27e+00 - 9.83e-01 6.51e-01f 1\n", - " 19r 0.0000000e+00 5.17e-02 2.22e+03 -0.0 5.22e+00 - 1.00e+00 2.48e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.54e-02 5.02e+02 -0.0 3.19e+00 - 1.00e+00 8.06e-01f 1\n", - " 21r 0.0000000e+00 3.43e-02 1.71e-02 -0.0 6.67e-01 - 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 3.26e-02 3.39e+02 -2.1 7.72e-01 - 9.97e-01 7.61e-01f 1\n", - " 23r 0.0000000e+00 2.36e-02 2.70e+03 -2.1 6.22e+01 - 9.58e-01 4.86e-02f 1\n", - " 24r 0.0000000e+00 1.45e-02 3.22e+03 -2.1 4.76e+01 - 1.00e+00 5.89e-02f 1\n", - " 25r 0.0000000e+00 8.76e-03 3.32e+03 -2.1 3.69e+01 - 1.00e+00 7.67e-02f 1\n", - " 26r 0.0000000e+00 5.38e-03 2.73e+03 -2.1 3.37e+00 - 1.00e+00 2.33e-01f 1\n", - " 27r 0.0000000e+00 1.38e-04 1.60e+02 -2.1 1.23e+00 - 1.00e+00 9.56e-01f 1\n", - " 28r 0.0000000e+00 3.81e-06 8.20e-05 -2.1 5.04e-02 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 5.40e-07 1.64e+01 -4.8 1.57e-03 - 1.00e+00 9.70e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.08e-07 4.73e+01 -4.8 1.02e-04 - 1.00e+00 8.00e-01f 1\n", - " 31r 0.0000000e+00 3.54e-10 1.91e-09 -4.8 3.03e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 31\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.5433522782568616e-10 3.5433522782568616e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.5433522782568616e-10 3.5433522782568616e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 38\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 38\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 33\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 31\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.034\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Existed information has been added.\n", - "FIM: [[ 57.32457017 10.81038482 -163.3989912 -47.97912452]\n", - " [ 10.81038482 52.75932055 -24.79938078 -278.23002524]\n", - " [-163.3989912 -24.79938078 480.78810034 117.38135869]\n", - " [ -47.97912452 -278.23002524 117.38135869 1533.57912799]]\n", - "Trace: 2124.451119046452\n", - "Determinant: 2241947.600754722\n", - "Condition number: 1651.778999454954\n", - "Minimal eigen value: 0.9685955647855005\n", - "Eigen values: [1.59990581e+03 5.20798798e+02 9.68595565e-01 2.77791269e+00]\n", - "Eigen vectors: [[ 0.04356334 -0.31866973 -0.77600518 0.54255673]\n", - " [ 0.17774251 0.01424653 0.56658982 0.80447536]\n", - " [-0.11273518 0.94011305 -0.25905246 0.19070935]\n", - " [-0.97662716 -0.12014197 0.09840607 0.14859857]]\n", - "========This is the No. 2 experiment.========\n", - "Design variables: {'CA0': {0: 5}, 'T': {0: 528}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", - " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.49e+02 - 1.45e-01 5.29e-02h 1\n", - " 3 0.0000000e+00 1.41e+02 3.26e+03 -1.0 1.42e+02 - 2.39e-01 8.16e-04h 1\n", - " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.57e-07R 6\n", - " 5r 0.0000000e+00 1.05e+02 4.04e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", - " 6r 0.0000000e+00 8.24e+01 3.97e+04 2.2 1.37e+04 - 5.83e-03 1.83e-03f 1\n", - " 7r 0.0000000e+00 8.08e+01 3.63e+04 2.2 9.62e+03 - 1.70e-02 1.63e-04f 1\n", - " 8r 0.0000000e+00 1.67e+01 3.51e+04 2.2 5.06e+03 - 1.86e-02 1.30e-02f 1\n", - " 9r 0.0000000e+00 1.23e+01 2.54e+04 2.2 1.26e+03 - 8.05e-02 1.28e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.92e+00 2.27e+04 2.2 1.31e+02 - 6.44e-02 5.27e-02f 1\n", - " 11r 0.0000000e+00 4.43e+00 1.49e+04 2.2 1.03e+02 - 2.18e-01 5.81e-02f 1\n", - " 12r 0.0000000e+00 3.16e+00 1.56e+04 2.2 7.95e+01 - 2.77e-01 1.16e-01f 1\n", - " 13r 0.0000000e+00 2.42e+00 1.15e+04 2.2 5.64e+01 - 3.51e-01 1.93e-01f 1\n", - " 14r 0.0000000e+00 1.96e+00 6.03e+03 2.2 3.33e+01 - 7.38e-01 3.49e-01f 1\n", - " 15r 0.0000000e+00 5.58e-01 1.90e+03 1.5 1.76e+01 - 1.00e+00 6.23e-01f 1\n", - " 16r 0.0000000e+00 3.40e-01 1.27e+03 0.8 6.20e+00 - 1.00e+00 3.83e-01f 1\n", - " 17r 0.0000000e+00 1.54e-01 1.06e+03 0.8 5.41e+00 - 9.53e-01 5.42e-01f 1\n", - " 18r 0.0000000e+00 9.28e-02 3.68e+02 0.8 2.75e+00 - 1.00e+00 8.44e-01f 1\n", - " 19r 0.0000000e+00 8.56e-02 8.79e+02 0.1 1.03e+00 - 1.00e+00 7.08e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 7.51e-02 1.90e+03 0.1 8.44e+00 - 8.51e-01 2.35e-01f 1\n", - " 21r 0.0000000e+00 5.29e-02 5.24e+02 0.1 3.27e+00 - 7.27e-01 7.25e-01f 1\n", - " 22r 0.0000000e+00 5.52e-02 2.86e-02 0.1 7.83e-01 - 1.00e+00 1.00e+00f 1\n", - " 23r 0.0000000e+00 5.18e-02 1.62e+02 -2.0 7.35e-01 - 8.55e-01 7.48e-01f 1\n", - " 24r 0.0000000e+00 3.92e-02 2.69e+03 -2.0 5.23e+01 - 9.26e-01 5.25e-02f 1\n", - " 25r 0.0000000e+00 2.90e-02 3.12e+03 -2.0 4.16e+01 - 9.19e-01 7.25e-02f 1\n", - " 26r 0.0000000e+00 8.30e-03 2.77e+03 -2.0 3.12e+01 - 1.00e+00 2.07e-01f 1\n", - " 27r 0.0000000e+00 3.00e-03 2.17e+03 -2.0 4.62e+00 - 1.00e+00 2.64e-01f 1\n", - " 28r 0.0000000e+00 3.02e-04 2.54e+02 -2.0 1.13e+00 - 1.00e+00 8.94e-01f 1\n", - " 29r 0.0000000e+00 7.17e-06 1.55e-04 -2.0 1.19e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.06e-06 9.76e+02 -4.6 2.83e-03 - 1.00e+00 7.87e-01f 1\n", - " 31r 0.0000000e+00 1.37e-06 4.07e+02 -4.6 1.30e-03 - 9.21e-01 6.67e-01f 1\n", - " 32r 0.0000000e+00 1.85e-08 1.66e-06 -4.6 2.45e-04 - 1.00e+00 1.00e+00f 1\n", - " 33r 0.0000000e+00 2.66e-11 9.45e-02 -6.9 8.31e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.2456905912839850e-11 2.6621949843165169e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.2456905912839850e-11 2.6621949843165169e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 40\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 40\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.038\n", - "Total CPU secs in NLP function evaluations = 0.004\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", - " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.49e+02 - 1.45e-01 5.27e-02h 1\n", - " 3 0.0000000e+00 1.41e+02 3.27e+03 -1.0 1.42e+02 - 2.39e-01 8.13e-04h 1\n", - " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.56e-07R 6\n", - " 5r 0.0000000e+00 1.05e+02 4.05e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", - " 6r 0.0000000e+00 8.23e+01 3.98e+04 2.2 1.37e+04 - 5.84e-03 1.83e-03f 1\n", - " 7r 0.0000000e+00 8.08e+01 3.64e+04 2.2 9.61e+03 - 1.70e-02 1.64e-04f 1\n", - " 8r 0.0000000e+00 1.65e+01 3.52e+04 2.2 5.04e+03 - 1.87e-02 1.30e-02f 1\n", - " 9r 0.0000000e+00 1.23e+01 2.57e+04 2.2 1.25e+03 - 7.88e-02 1.27e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.91e+00 2.30e+04 2.2 1.31e+02 - 6.42e-02 5.24e-02f 1\n", - " 11r 0.0000000e+00 4.42e+00 1.49e+04 2.2 1.03e+02 - 2.16e-01 5.80e-02f 1\n", - " 12r 0.0000000e+00 3.15e+00 1.58e+04 2.2 7.95e+01 - 2.84e-01 1.16e-01f 1\n", - " 13r 0.0000000e+00 2.41e+00 1.16e+04 2.2 5.64e+01 - 3.39e-01 1.94e-01f 1\n", - " 14r 0.0000000e+00 1.97e+00 5.56e+03 2.2 3.33e+01 - 7.46e-01 3.47e-01f 1\n", - " 15r 0.0000000e+00 5.56e-01 1.82e+03 1.5 1.77e+01 - 1.00e+00 6.21e-01f 1\n", - " 16r 0.0000000e+00 3.38e-01 1.27e+03 0.8 6.22e+00 - 1.00e+00 3.84e-01f 1\n", - " 17r 0.0000000e+00 1.53e-01 1.06e+03 0.8 5.41e+00 - 9.55e-01 5.42e-01f 1\n", - " 18r 0.0000000e+00 9.26e-02 3.66e+02 0.8 2.74e+00 - 1.00e+00 8.45e-01f 1\n", - " 19r 0.0000000e+00 8.55e-02 8.84e+02 0.1 1.03e+00 - 1.00e+00 7.07e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 7.51e-02 1.91e+03 0.1 8.43e+00 - 8.54e-01 2.35e-01f 1\n", - " 21r 0.0000000e+00 5.29e-02 5.27e+02 0.1 3.27e+00 - 7.27e-01 7.24e-01f 1\n", - " 22r 0.0000000e+00 5.52e-02 2.90e-02 0.1 7.85e-01 - 1.00e+00 1.00e+00f 1\n", - " 23r 0.0000000e+00 5.18e-02 1.61e+02 -2.0 7.35e-01 - 8.55e-01 7.48e-01f 1\n", - " 24r 0.0000000e+00 3.92e-02 2.69e+03 -2.0 5.23e+01 - 9.26e-01 5.25e-02f 1\n", - " 25r 0.0000000e+00 2.90e-02 3.11e+03 -2.0 4.16e+01 - 9.19e-01 7.24e-02f 1\n", - " 26r 0.0000000e+00 8.30e-03 2.76e+03 -2.0 3.12e+01 - 1.00e+00 2.07e-01f 1\n", - " 27r 0.0000000e+00 2.99e-03 2.17e+03 -2.0 4.61e+00 - 1.00e+00 2.64e-01f 1\n", - " 28r 0.0000000e+00 3.02e-04 2.54e+02 -2.0 1.13e+00 - 1.00e+00 8.94e-01f 1\n", - " 29r 0.0000000e+00 7.17e-06 1.54e-04 -2.0 1.19e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.04e-06 9.53e+02 -4.6 2.83e-03 - 1.00e+00 7.89e-01f 1\n", - " 31r 0.0000000e+00 1.36e-06 3.94e+02 -4.6 1.28e-03 - 9.26e-01 6.67e-01f 1\n", - " 32r 0.0000000e+00 1.72e-08 1.59e-06 -4.6 2.42e-04 - 1.00e+00 1.00e+00f 1\n", - " 33r 0.0000000e+00 2.63e-11 9.45e-02 -6.9 7.74e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.2153845746289795e-11 2.6260916808100096e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.2153845746289795e-11 2.6260916808100096e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 40\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 40\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.038\n", - "Total CPU secs in NLP function evaluations = 0.004\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", - " 2 0.0000000e+00 1.42e+02 2.32e+01 -1.0 1.49e+02 - 1.45e-01 5.23e-02h 1\n", - " 3 0.0000000e+00 1.41e+02 3.31e+03 -1.0 1.42e+02 - 2.39e-01 8.02e-04h 1\n", - " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.52e-07R 6\n", - " 5r 0.0000000e+00 1.05e+02 4.08e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", - " 6r 0.0000000e+00 8.20e+01 4.02e+04 2.2 1.37e+04 - 5.83e-03 1.87e-03f 1\n", - " 7r 0.0000000e+00 8.04e+01 3.67e+04 2.2 9.59e+03 - 1.76e-02 1.67e-04f 1\n", - " 8r 0.0000000e+00 1.60e+01 3.55e+04 2.2 4.95e+03 - 1.92e-02 1.34e-02f 1\n", - " 9r 0.0000000e+00 1.22e+01 2.73e+04 2.2 1.23e+03 - 6.99e-02 1.25e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.88e+00 2.43e+04 2.2 1.31e+02 - 6.44e-02 5.06e-02f 1\n", - " 11r 0.0000000e+00 4.35e+00 1.45e+04 2.2 1.04e+02 - 2.10e-01 5.79e-02f 1\n", - " 12r 0.0000000e+00 3.10e+00 1.59e+04 2.2 7.99e+01 - 2.93e-01 1.13e-01f 1\n", - " 13r 0.0000000e+00 2.41e+00 1.19e+04 2.2 5.68e+01 - 3.17e-01 1.91e-01f 1\n", - " 14r 0.0000000e+00 2.00e+00 5.16e+03 2.2 3.39e+01 - 7.81e-01 3.45e-01f 1\n", - " 15r 0.0000000e+00 5.61e-01 1.16e+03 1.5 1.82e+01 - 1.00e+00 6.11e-01f 1\n", - " 16r 0.0000000e+00 3.41e-01 1.27e+03 0.8 6.30e+00 - 1.00e+00 3.84e-01f 1\n", - " 17r 0.0000000e+00 1.53e-01 1.09e+03 0.8 5.40e+00 - 9.70e-01 5.45e-01f 1\n", - " 18r 0.0000000e+00 9.44e-02 3.68e+02 0.8 2.74e+00 - 1.00e+00 8.47e-01f 1\n", - " 19r 0.0000000e+00 8.74e-02 9.29e+02 0.1 1.03e+00 - 1.00e+00 6.96e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 7.49e-02 1.81e+03 0.1 8.60e+00 - 8.19e-01 2.39e-01f 1\n", - " 21r 0.0000000e+00 5.26e-02 4.87e+02 0.1 3.25e+00 - 7.43e-01 7.31e-01f 1\n", - " 22r 0.0000000e+00 5.50e-02 3.07e-02 0.1 7.62e-01 - 1.00e+00 1.00e+00f 1\n", - " 23r 0.0000000e+00 5.17e-02 1.74e+02 -2.0 7.34e-01 - 8.64e-01 7.48e-01f 1\n", - " 24r 0.0000000e+00 3.92e-02 2.70e+03 -2.0 5.22e+01 - 9.24e-01 5.17e-02f 1\n", - " 25r 0.0000000e+00 2.91e-02 3.11e+03 -2.0 4.15e+01 - 9.26e-01 7.19e-02f 1\n", - " 26r 0.0000000e+00 8.22e-03 2.77e+03 -2.0 3.16e+01 - 1.00e+00 2.07e-01f 1\n", - " 27r 0.0000000e+00 3.23e-03 2.22e+03 -2.0 4.62e+00 - 1.00e+00 2.48e-01f 1\n", - " 28r 0.0000000e+00 3.04e-04 2.61e+02 -2.0 1.15e+00 - 1.00e+00 8.93e-01f 1\n", - " 29r 0.0000000e+00 7.14e-06 1.60e-04 -2.0 1.21e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.08e-06 9.40e+02 -4.6 2.84e-03 - 1.00e+00 7.91e-01f 1\n", - " 31r 0.0000000e+00 1.36e-06 3.76e+02 -4.6 1.28e-03 - 9.33e-01 6.68e-01f 1\n", - " 32r 0.0000000e+00 1.52e-08 1.53e-06 -4.6 2.44e-04 - 1.00e+00 1.00e+00f 1\n", - " 33r 0.0000000e+00 2.57e-11 9.47e-02 -6.9 6.81e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.1649973638436623e-11 2.5661316347129655e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.1649973638436623e-11 2.5661316347129655e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 40\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 40\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.039\n", - "Total CPU secs in NLP function evaluations = 0.004\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", - " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.49e+02 - 1.45e-01 5.27e-02h 1\n", - " 3 0.0000000e+00 1.41e+02 3.26e+03 -1.0 1.42e+02 - 2.39e-01 8.13e-04h 1\n", - " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.56e-07R 6\n", - " 5r 0.0000000e+00 1.05e+02 4.04e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", - " 6r 0.0000000e+00 8.22e+01 3.97e+04 2.2 1.37e+04 - 5.82e-03 1.84e-03f 1\n", - " 7r 0.0000000e+00 8.06e+01 3.63e+04 2.2 9.61e+03 - 1.71e-02 1.63e-04f 1\n", - " 8r 0.0000000e+00 1.66e+01 3.52e+04 2.2 5.03e+03 - 1.87e-02 1.31e-02f 1\n", - " 9r 0.0000000e+00 1.23e+01 2.58e+04 2.2 1.26e+03 - 7.76e-02 1.27e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.89e+00 2.30e+04 2.2 1.31e+02 - 6.49e-02 5.23e-02f 1\n", - " 11r 0.0000000e+00 4.41e+00 1.47e+04 2.2 1.03e+02 - 2.14e-01 5.77e-02f 1\n", - " 12r 0.0000000e+00 3.14e+00 1.58e+04 2.2 7.97e+01 - 2.91e-01 1.16e-01f 1\n", - " 13r 0.0000000e+00 2.41e+00 1.17e+04 2.2 5.64e+01 - 3.30e-01 1.95e-01f 1\n", - " 14r 0.0000000e+00 1.97e+00 5.08e+03 2.2 3.33e+01 - 7.50e-01 3.46e-01f 1\n", - " 15r 0.0000000e+00 5.51e-01 1.72e+03 1.5 1.77e+01 - 1.00e+00 6.18e-01f 1\n", - " 16r 0.0000000e+00 3.35e-01 1.26e+03 0.8 6.23e+00 - 1.00e+00 3.85e-01f 1\n", - " 17r 0.0000000e+00 1.51e-01 1.08e+03 0.8 5.43e+00 - 9.63e-01 5.43e-01f 1\n", - " 18r 0.0000000e+00 9.39e-02 3.62e+02 0.8 2.74e+00 - 1.00e+00 8.47e-01f 1\n", - " 19r 0.0000000e+00 8.70e-02 8.86e+02 0.1 1.02e+00 - 1.00e+00 7.06e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 7.48e-02 1.80e+03 0.1 8.61e+00 - 8.16e-01 2.37e-01f 1\n", - " 21r 0.0000000e+00 5.24e-02 4.78e+02 0.1 3.26e+00 - 7.42e-01 7.35e-01f 1\n", - " 22r 0.0000000e+00 5.49e-02 2.73e-02 0.1 7.51e-01 - 1.00e+00 1.00e+00f 1\n", - " 23r 0.0000000e+00 5.16e-02 1.76e+02 -2.0 7.34e-01 - 8.65e-01 7.49e-01f 1\n", - " 24r 0.0000000e+00 3.91e-02 2.69e+03 -2.0 5.22e+01 - 9.24e-01 5.16e-02f 1\n", - " 25r 0.0000000e+00 2.91e-02 3.13e+03 -2.0 4.15e+01 - 9.30e-01 7.17e-02f 1\n", - " 26r 0.0000000e+00 8.21e-03 2.78e+03 -2.0 3.17e+01 - 1.00e+00 2.07e-01f 1\n", - " 27r 0.0000000e+00 3.28e-03 2.23e+03 -2.0 4.61e+00 - 1.00e+00 2.45e-01f 1\n", - " 28r 0.0000000e+00 3.03e-04 2.61e+02 -2.0 1.15e+00 - 1.00e+00 8.93e-01f 1\n", - " 29r 0.0000000e+00 7.12e-06 1.61e-04 -2.0 1.21e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.10e-06 9.79e+02 -4.6 2.84e-03 - 1.00e+00 7.86e-01f 1\n", - " 31r 0.0000000e+00 1.37e-06 3.99e+02 -4.6 1.30e-03 - 9.25e-01 6.68e-01f 1\n", - " 32r 0.0000000e+00 1.76e-08 1.64e-06 -4.6 2.48e-04 - 1.00e+00 1.00e+00f 1\n", - " 33r 0.0000000e+00 2.63e-11 9.47e-02 -6.9 7.88e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.2148787548278067e-11 2.6258727668388576e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.2148787548278067e-11 2.6258727668388576e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 40\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 40\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.037\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", - " 2 0.0000000e+00 1.42e+02 2.32e+01 -1.0 1.49e+02 - 1.45e-01 5.26e-02h 1\n", - " 3 0.0000000e+00 1.41e+02 3.28e+03 -1.0 1.42e+02 - 2.39e-01 8.10e-04h 1\n", - " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.55e-07R 6\n", - " 5r 0.0000000e+00 1.05e+02 4.06e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", - " 6r 0.0000000e+00 8.22e+01 3.99e+04 2.2 1.37e+04 - 5.83e-03 1.84e-03f 1\n", - " 7r 0.0000000e+00 8.06e+01 3.65e+04 2.2 9.60e+03 - 1.72e-02 1.65e-04f 1\n", - " 8r 0.0000000e+00 1.64e+01 3.53e+04 2.2 5.01e+03 - 1.89e-02 1.31e-02f 1\n", - " 9r 0.0000000e+00 1.22e+01 2.62e+04 2.2 1.25e+03 - 7.60e-02 1.26e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.90e+00 2.34e+04 2.2 1.31e+02 - 6.42e-02 5.19e-02f 1\n", - " 11r 0.0000000e+00 4.40e+00 1.48e+04 2.2 1.04e+02 - 2.14e-01 5.78e-02f 1\n", - " 12r 0.0000000e+00 3.14e+00 1.59e+04 2.2 7.97e+01 - 2.93e-01 1.15e-01f 1\n", - " 13r 0.0000000e+00 2.41e+00 1.18e+04 2.2 5.64e+01 - 3.24e-01 1.94e-01f 1\n", - " 14r 0.0000000e+00 1.98e+00 4.83e+03 2.2 3.34e+01 - 7.56e-01 3.46e-01f 1\n", - " 15r 0.0000000e+00 5.54e-01 1.66e+03 1.5 1.78e+01 - 1.00e+00 6.18e-01f 1\n", - " 16r 0.0000000e+00 3.36e-01 1.26e+03 0.8 6.24e+00 - 1.00e+00 3.85e-01f 1\n", - " 17r 0.0000000e+00 1.52e-01 1.07e+03 0.8 5.41e+00 - 9.59e-01 5.43e-01f 1\n", - " 18r 0.0000000e+00 9.30e-02 3.63e+02 0.8 2.74e+00 - 1.00e+00 8.46e-01f 1\n", - " 19r 0.0000000e+00 8.59e-02 8.91e+02 0.1 1.03e+00 - 1.00e+00 7.05e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 7.50e-02 1.87e+03 0.1 8.48e+00 - 8.42e-01 2.36e-01f 1\n", - " 21r 0.0000000e+00 5.27e-02 5.12e+02 0.1 3.27e+00 - 7.32e-01 7.27e-01f 1\n", - " 22r 0.0000000e+00 5.50e-02 2.89e-02 0.1 7.76e-01 - 1.00e+00 1.00e+00f 1\n", - " 23r 0.0000000e+00 5.17e-02 1.66e+02 -2.0 7.34e-01 - 8.59e-01 7.48e-01f 1\n", - " 24r 0.0000000e+00 3.91e-02 2.69e+03 -2.0 5.22e+01 - 9.25e-01 5.22e-02f 1\n", - " 25r 0.0000000e+00 2.90e-02 3.11e+03 -2.0 4.16e+01 - 9.23e-01 7.21e-02f 1\n", - " 26r 0.0000000e+00 8.26e-03 2.76e+03 -2.0 3.14e+01 - 1.00e+00 2.07e-01f 1\n", - " 27r 0.0000000e+00 3.09e-03 2.19e+03 -2.0 4.61e+00 - 1.00e+00 2.58e-01f 1\n", - " 28r 0.0000000e+00 3.02e-04 2.56e+02 -2.0 1.14e+00 - 1.00e+00 8.94e-01f 1\n", - " 29r 0.0000000e+00 7.15e-06 1.55e-04 -2.0 1.19e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.04e-06 9.38e+02 -4.6 2.83e-03 - 1.00e+00 7.91e-01f 1\n", - " 31r 0.0000000e+00 1.35e-06 3.81e+02 -4.6 1.27e-03 - 9.30e-01 6.68e-01f 1\n", - " 32r 0.0000000e+00 1.60e-08 1.53e-06 -4.6 2.41e-04 - 1.00e+00 1.00e+00f 1\n", - " 33r 0.0000000e+00 2.59e-11 9.45e-02 -6.9 7.17e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.1850626362220856e-11 2.5900256237138854e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.1850626362220856e-11 2.5900256237138854e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 40\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 40\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", - " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.49e+02 - 1.45e-01 5.27e-02h 1\n", - " 3 0.0000000e+00 1.41e+02 3.27e+03 -1.0 1.42e+02 - 2.39e-01 8.13e-04h 1\n", - " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.56e-07R 6\n", - " 5r 0.0000000e+00 1.05e+02 4.05e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", - " 6r 0.0000000e+00 8.22e+01 3.98e+04 2.2 1.38e+04 - 5.83e-03 1.84e-03f 1\n", - " 7r 0.0000000e+00 8.07e+01 3.64e+04 2.2 9.61e+03 - 1.71e-02 1.64e-04f 1\n", - " 8r 0.0000000e+00 1.65e+01 3.52e+04 2.2 5.03e+03 - 1.88e-02 1.31e-02f 1\n", - " 9r 0.0000000e+00 1.23e+01 2.59e+04 2.2 1.25e+03 - 7.76e-02 1.27e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.90e+00 2.31e+04 2.2 1.31e+02 - 6.44e-02 5.22e-02f 1\n", - " 11r 0.0000000e+00 4.41e+00 1.48e+04 2.2 1.03e+02 - 2.15e-01 5.79e-02f 1\n", - " 12r 0.0000000e+00 3.14e+00 1.58e+04 2.2 7.96e+01 - 2.86e-01 1.15e-01f 1\n", - " 13r 0.0000000e+00 2.41e+00 1.16e+04 2.2 5.64e+01 - 3.36e-01 1.94e-01f 1\n", - " 14r 0.0000000e+00 1.97e+00 5.41e+03 2.2 3.34e+01 - 7.48e-01 3.47e-01f 1\n", - " 15r 0.0000000e+00 5.55e-01 1.79e+03 1.5 1.77e+01 - 1.00e+00 6.20e-01f 1\n", - " 16r 0.0000000e+00 3.38e-01 1.27e+03 0.8 6.22e+00 - 1.00e+00 3.84e-01f 1\n", - " 17r 0.0000000e+00 1.52e-01 1.07e+03 0.8 5.42e+00 - 9.58e-01 5.43e-01f 1\n", - " 18r 0.0000000e+00 9.31e-02 3.65e+02 0.8 2.74e+00 - 1.00e+00 8.45e-01f 1\n", - " 19r 0.0000000e+00 8.61e-02 8.86e+02 0.1 1.03e+00 - 1.00e+00 7.06e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 7.50e-02 1.87e+03 0.1 8.50e+00 - 8.39e-01 2.36e-01f 1\n", - " 21r 0.0000000e+00 5.27e-02 5.09e+02 0.1 3.26e+00 - 7.32e-01 7.27e-01f 1\n", - " 22r 0.0000000e+00 5.51e-02 2.85e-02 0.1 7.74e-01 - 1.00e+00 1.00e+00f 1\n", - " 23r 0.0000000e+00 5.17e-02 1.67e+02 -2.0 7.34e-01 - 8.59e-01 7.48e-01f 1\n", - " 24r 0.0000000e+00 3.91e-02 2.69e+03 -2.0 5.22e+01 - 9.25e-01 5.22e-02f 1\n", - " 25r 0.0000000e+00 2.90e-02 3.12e+03 -2.0 4.16e+01 - 9.23e-01 7.21e-02f 1\n", - " 26r 0.0000000e+00 8.27e-03 2.77e+03 -2.0 3.14e+01 - 1.00e+00 2.07e-01f 1\n", - " 27r 0.0000000e+00 3.09e-03 2.19e+03 -2.0 4.61e+00 - 1.00e+00 2.58e-01f 1\n", - " 28r 0.0000000e+00 3.02e-04 2.56e+02 -2.0 1.14e+00 - 1.00e+00 8.94e-01f 1\n", - " 29r 0.0000000e+00 7.15e-06 1.56e-04 -2.0 1.19e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.06e-06 9.61e+02 -4.6 2.83e-03 - 1.00e+00 7.89e-01f 1\n", - " 31r 0.0000000e+00 1.36e-06 3.95e+02 -4.6 1.28e-03 - 9.25e-01 6.68e-01f 1\n", - " 32r 0.0000000e+00 1.73e-08 1.60e-06 -4.6 2.44e-04 - 1.00e+00 1.00e+00f 1\n", - " 33r 0.0000000e+00 2.63e-11 9.45e-02 -6.9 7.77e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.2151067363193466e-11 2.6259062632649766e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.2151067363193466e-11 2.6259062632649766e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 40\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 40\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.50e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.35e-01f 1\n", - " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.50e+02 - 1.45e-01 5.32e-02h 1\n", - " 3 0.0000000e+00 1.41e+02 3.23e+03 -1.0 1.42e+02 - 2.40e-01 8.24e-04h 1\n", - " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.59e-07R 6\n", - " 5r 0.0000000e+00 1.05e+02 4.02e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", - " 6r 0.0000000e+00 8.26e+01 3.94e+04 2.2 1.37e+04 - 5.84e-03 1.81e-03f 1\n", - " 7r 0.0000000e+00 8.11e+01 3.60e+04 2.2 9.63e+03 - 1.66e-02 1.61e-04f 1\n", - " 8r 0.0000000e+00 1.70e+01 3.49e+04 2.2 5.12e+03 - 1.83e-02 1.28e-02f 1\n", - " 9r 0.0000000e+00 1.23e+01 2.40e+04 2.2 1.27e+03 - 8.80e-02 1.28e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.94e+00 2.16e+04 2.2 1.30e+02 - 6.44e-02 5.43e-02f 1\n", - " 11r 0.0000000e+00 4.49e+00 1.52e+04 2.2 1.02e+02 - 2.23e-01 5.81e-02f 1\n", - " 12r 0.0000000e+00 3.20e+00 1.53e+04 2.2 7.91e+01 - 2.54e-01 1.19e-01f 1\n", - " 13r 0.0000000e+00 2.44e+00 1.16e+04 2.2 5.65e+01 - 3.20e-01 1.92e-01f 1\n", - " 14r 0.0000000e+00 2.02e+00 7.02e+03 2.2 3.33e+01 - 7.57e-01 3.41e-01f 1\n", - " 15r 0.0000000e+00 5.40e-01 2.25e+03 1.5 1.82e+01 - 1.00e+00 6.10e-01f 1\n", - " 16r 0.0000000e+00 2.17e-01 1.51e+03 1.5 5.66e+00 - 1.00e+00 5.87e-01f 1\n", - " 17r 0.0000000e+00 2.11e-01 5.13e+02 0.8 8.40e-01 - 1.00e+00 7.56e-01f 1\n", - " 18r 0.0000000e+00 9.04e-02 8.51e+02 0.8 4.47e+00 - 7.05e-01 1.00e+00f 1\n", - " 19r 0.0000000e+00 8.36e-02 8.92e-02 0.8 4.15e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 7.98e-02 2.39e+02 -1.3 7.87e-01 - 9.97e-01 7.83e-01f 1\n", - " 21r 0.0000000e+00 7.28e-02 5.54e+02 -1.3 5.42e+01 - 1.63e-01 3.22e-02f 1\n", - " 22r 0.0000000e+00 5.51e-02 1.20e+03 -1.3 3.07e+01 - 3.91e-01 8.63e-02f 1\n", - " 23r 0.0000000e+00 3.76e-02 2.35e+03 -1.3 2.06e+01 - 9.74e-01 1.62e-01f 1\n", - " 24r 0.0000000e+00 2.73e-02 2.30e+03 -1.3 1.52e+01 - 1.00e+00 1.88e-01f 1\n", - " 25r 0.0000000e+00 8.64e-03 1.46e+03 -1.3 1.17e+01 - 1.00e+00 4.26e-01f 1\n", - " 26r 0.0000000e+00 2.92e-03 1.41e+03 -1.3 5.54e+00 - 1.00e+00 2.42e-01f 1\n", - " 27r 0.0000000e+00 1.25e-03 1.31e+03 -1.3 2.66e+00 - 1.00e+00 2.62e-01f 1\n", - " 28r 0.0000000e+00 3.64e-04 3.77e-03 -1.3 4.95e-01 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 1.26e-04 9.34e+02 -3.1 8.27e-02 - 1.00e+00 6.74e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.45e-05 3.63e+03 -3.1 1.36e-01 - 9.59e-01 2.43e-01f 1\n", - " 31r 0.0000000e+00 1.72e-06 2.76e-04 -3.1 4.19e-03 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 4.52e-08 8.82e+00 -6.9 1.64e-04 - 9.60e-01 9.87e-01f 1\n", - " 33r 0.0000000e+00 4.44e-09 1.05e+01 -6.9 1.49e-06 - 1.00e+00 9.02e-01f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.5769738670367326e-09 4.4415538978106409e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.5769738670367326e-09 4.4415538978106409e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 40\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 40\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.038\n", - "Total CPU secs in NLP function evaluations = 0.004\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.25e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.49e+02 2.44e+01 -1.0 2.25e+02 - 1.30e-02 3.36e-01f 1\n", - " 2 0.0000000e+00 1.42e+02 2.31e+01 -1.0 1.49e+02 - 1.45e-01 5.27e-02h 1\n", - " 3 0.0000000e+00 1.41e+02 3.27e+03 -1.0 1.42e+02 - 2.40e-01 8.13e-04h 1\n", - " 4r 0.0000000e+00 1.41e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.56e-07R 6\n", - " 5r 0.0000000e+00 1.05e+02 4.06e+04 2.2 1.96e+04 - 1.03e-02 2.65e-03f 1\n", - " 6r 0.0000000e+00 8.24e+01 3.99e+04 2.2 1.37e+04 - 5.84e-03 1.83e-03f 1\n", - " 7r 0.0000000e+00 8.08e+01 3.65e+04 2.2 9.62e+03 - 1.71e-02 1.65e-04f 1\n", - " 8r 0.0000000e+00 1.65e+01 3.53e+04 2.2 5.04e+03 - 1.88e-02 1.31e-02f 1\n", - " 9r 0.0000000e+00 1.23e+01 2.58e+04 2.2 1.25e+03 - 7.88e-02 1.27e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.92e+00 2.31e+04 2.2 1.31e+02 - 6.37e-02 5.23e-02f 1\n", - " 11r 0.0000000e+00 4.42e+00 1.49e+04 2.2 1.03e+02 - 2.18e-01 5.82e-02f 1\n", - " 12r 0.0000000e+00 3.16e+00 1.57e+04 2.2 7.94e+01 - 2.80e-01 1.16e-01f 1\n", - " 13r 0.0000000e+00 2.41e+00 1.16e+04 2.2 5.64e+01 - 3.45e-01 1.93e-01f 1\n", - " 14r 0.0000000e+00 1.97e+00 5.88e+03 2.2 3.34e+01 - 7.45e-01 3.48e-01f 1\n", - " 15r 0.0000000e+00 5.60e-01 1.88e+03 1.5 1.77e+01 - 1.00e+00 6.22e-01f 1\n", - " 16r 0.0000000e+00 3.41e-01 1.27e+03 0.8 6.20e+00 - 1.00e+00 3.84e-01f 1\n", - " 17r 0.0000000e+00 1.54e-01 1.05e+03 0.8 5.40e+00 - 9.49e-01 5.42e-01f 1\n", - " 18r 0.0000000e+00 9.19e-02 3.69e+02 0.8 2.74e+00 - 1.00e+00 8.43e-01f 1\n", - " 19r 0.0000000e+00 8.46e-02 8.84e+02 0.1 1.03e+00 - 1.00e+00 7.07e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 7.53e-02 1.98e+03 0.1 8.32e+00 - 8.80e-01 2.34e-01f 1\n", - " 21r 0.0000000e+00 5.32e-02 5.64e+02 0.1 3.28e+00 - 7.17e-01 7.16e-01f 1\n", - " 22r 0.0000000e+00 5.53e-02 3.03e-02 0.1 8.10e-01 - 1.00e+00 1.00e+00f 1\n", - " 23r 0.0000000e+00 5.19e-02 1.54e+02 -2.0 7.38e-01 - 8.50e-01 7.47e-01f 1\n", - " 24r 0.0000000e+00 3.92e-02 2.68e+03 -2.0 5.23e+01 - 9.26e-01 5.31e-02f 1\n", - " 25r 0.0000000e+00 2.90e-02 3.10e+03 -2.0 4.17e+01 - 9.13e-01 7.31e-02f 1\n", - " 26r 0.0000000e+00 8.33e-03 2.76e+03 -2.0 3.09e+01 - 1.00e+00 2.07e-01f 1\n", - " 27r 0.0000000e+00 2.92e-03 2.13e+03 -2.0 4.61e+00 - 1.00e+00 2.76e-01f 1\n", - " 28r 0.0000000e+00 2.98e-04 2.50e+02 -2.0 1.11e+00 - 1.00e+00 8.94e-01f 1\n", - " 29r 0.0000000e+00 7.20e-06 1.49e-04 -2.0 1.16e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.00e-06 9.38e+02 -4.6 2.82e-03 - 1.00e+00 7.92e-01f 1\n", - " 31r 0.0000000e+00 1.35e-06 3.90e+02 -4.6 1.26e-03 - 9.26e-01 6.67e-01f 1\n", - " 32r 0.0000000e+00 1.70e-08 1.56e-06 -4.6 2.38e-04 - 1.00e+00 1.00e+00f 1\n", - " 33r 0.0000000e+00 2.63e-11 9.42e-02 -6.9 7.64e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.2156471689858985e-11 2.6261748702874517e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.2156471689858985e-11 2.6261748702874517e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 40\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 40\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Existed information has been added.\n", - "FIM: [[ 62.61825299 13.99453652 -172.77684128 -58.8930005 ]\n", - " [ 13.99453652 59.51690861 -30.4401621 -301.39206927]\n", - " [-172.77684128 -30.4401621 497.40112289 136.7154839 ]\n", - " [ -58.8930005 -301.39206927 136.7154839 1612.96844236]]\n", - "Trace: 2232.504726862837\n", - "Determinant: 4898254.121649539\n", - "Condition number: 1222.2680067331069\n", - "Minimal eigen value: 1.382589370149351\n", - "Eigen values: [1.68989475e+03 5.37325711e+02 1.38258937e+00 3.90167256e+00]\n", - "Eigen vectors: [[ 0.04994575 -0.32399431 -0.767535 0.55083857]\n", - " [ 0.18280326 0.01454953 0.57696227 0.79591822]\n", - " [-0.12357702 0.93659251 -0.2600355 0.1997617 ]\n", - " [-0.97407244 -0.13270446 0.10191222 0.15227054]]\n", - "========This is the No. 3 experiment.========\n", - "Design variables: {'CA0': {0: 5}, 'T': {0: 546.8}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", - " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.05e-02h 1\n", - " 3 0.0000000e+00 1.58e+02 3.07e+03 -1.0 1.59e+02 - 2.25e-01 7.87e-04h 1\n", - " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.95e-07R 5\n", - " 5r 0.0000000e+00 1.20e+02 3.89e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", - " 6r 0.0000000e+00 1.05e+02 3.75e+04 2.2 1.37e+04 - 6.73e-03 1.17e-03f 1\n", - " 7r 0.0000000e+00 1.04e+02 3.47e+04 2.2 1.04e+04 - 1.01e-02 1.60e-04f 1\n", - " 8r 0.0000000e+00 4.23e+01 3.40e+04 2.2 7.39e+03 - 1.13e-02 8.44e-03f 1\n", - " 9r 0.0000000e+00 1.39e+01 2.70e+04 2.2 2.69e+03 - 5.49e-02 1.25e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.16e+01 1.87e+04 2.2 5.87e+02 - 2.35e-01 1.62e-02f 1\n", - " 11r 0.0000000e+00 6.12e+00 1.69e+04 2.2 1.00e+02 - 1.05e-01 9.99e-02f 1\n", - " 12r 0.0000000e+00 4.42e+00 1.76e+04 2.2 7.54e+01 - 3.28e-01 1.10e-01f 1\n", - " 13r 0.0000000e+00 2.87e+00 1.03e+04 2.2 5.59e+01 - 4.56e-01 2.18e-01f 1\n", - " 14r 0.0000000e+00 1.85e+00 6.73e+03 1.5 3.33e+01 - 6.49e-01 2.97e-01f 1\n", - " 15r 0.0000000e+00 1.52e+00 2.61e+03 1.5 4.65e+01 - 7.10e-01 2.65e-01f 1\n", - " 16r 0.0000000e+00 8.97e-01 4.42e+03 1.5 1.70e+01 - 1.00e+00 3.84e-01f 1\n", - " 17r 0.0000000e+00 2.25e-01 5.48e+01 1.5 2.20e+00 - 1.00e+00 1.00e+00f 1\n", - " 18r 0.0000000e+00 2.37e-01 9.55e+02 -0.6 7.37e-01 - 9.75e-01 5.83e-01f 1\n", - " 19r 0.0000000e+00 6.42e-02 6.29e+02 -0.6 2.84e+01 - 2.45e-01 2.84e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 6.48e-02 2.45e+03 -0.6 1.19e+01 - 7.90e-01 5.98e-03f 1\n", - " 21r 0.0000000e+00 4.45e-02 1.69e+03 -0.6 7.51e+00 - 1.00e+00 5.12e-01f 1\n", - " 22r 0.0000000e+00 3.91e-02 4.94e+02 -0.6 3.99e+00 - 1.00e+00 7.96e-01f 1\n", - " 23r 0.0000000e+00 3.83e-02 2.58e+02 -0.6 1.20e+00 - 1.00e+00 9.14e-01f 1\n", - " 24r 0.0000000e+00 3.82e-02 7.17e-03 -0.6 2.65e-01 - 1.00e+00 1.00e+00f 1\n", - " 25r 0.0000000e+00 3.79e-02 2.82e+02 -3.0 4.29e-01 - 9.86e-01 7.73e-01f 1\n", - " 26r 0.0000000e+00 3.12e-02 2.66e+03 -3.0 1.42e+02 - 7.88e-01 1.37e-02f 1\n", - " 27r 0.0000000e+00 2.20e-02 3.81e+03 -3.0 1.34e+02 - 9.84e-01 1.98e-02f 1\n", - " 28r 0.0000000e+00 1.40e-02 4.10e+03 -3.0 1.19e+02 - 1.00e+00 2.98e-02f 1\n", - " 29r 0.0000000e+00 1.08e-02 3.75e+03 -3.0 7.23e+00 - 1.00e+00 1.08e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.44e-04 2.56e+02 -3.0 2.69e+00 - 1.00e+00 9.34e-01f 1\n", - " 31r 0.0000000e+00 1.76e-06 5.38e-05 -3.0 8.18e-02 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 1.08e-07 4.83e+01 -6.7 1.08e-04 - 9.16e-01 9.73e-01f 1\n", - " 33r 0.0000000e+00 1.38e-08 1.71e+01 -6.7 5.82e-06 - 1.00e+00 8.72e-01f 1\n", - " 34r 0.0000000e+00 6.86e-13 1.41e-10 -6.7 2.19e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 34\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 6.8567374000849668e-13 6.8567374000849668e-13\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 6.8567374000849668e-13 6.8567374000849668e-13\n", - "\n", - "\n", - "Number of objective function evaluations = 40\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 40\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 36\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 34\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", - " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.04e-02h 1\n", - " 3 0.0000000e+00 1.58e+02 3.08e+03 -1.0 1.59e+02 - 2.25e-01 7.84e-04h 1\n", - " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.93e-07R 5\n", - " 5r 0.0000000e+00 1.20e+02 3.90e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", - " 6r 0.0000000e+00 1.05e+02 3.77e+04 2.2 1.36e+04 - 6.73e-03 1.18e-03f 1\n", - " 7r 0.0000000e+00 1.04e+02 3.48e+04 2.2 1.04e+04 - 1.02e-02 1.61e-04f 1\n", - " 8r 0.0000000e+00 4.21e+01 3.41e+04 2.2 7.37e+03 - 1.14e-02 8.47e-03f 1\n", - " 9r 0.0000000e+00 1.38e+01 2.71e+04 2.2 2.67e+03 - 5.53e-02 1.26e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.16e+01 1.88e+04 2.2 5.77e+02 - 2.38e-01 1.62e-02f 1\n", - " 11r 0.0000000e+00 6.14e+00 1.70e+04 2.2 9.99e+01 - 1.06e-01 1.00e-01f 1\n", - " 12r 0.0000000e+00 4.43e+00 1.76e+04 2.2 7.52e+01 - 3.27e-01 1.11e-01f 1\n", - " 13r 0.0000000e+00 2.87e+00 1.03e+04 2.2 5.57e+01 - 4.52e-01 2.19e-01f 1\n", - " 14r 0.0000000e+00 1.86e+00 6.73e+03 1.5 3.32e+01 - 6.51e-01 2.98e-01f 1\n", - " 15r 0.0000000e+00 1.52e+00 2.57e+03 1.5 4.62e+01 - 7.12e-01 2.64e-01f 1\n", - " 16r 0.0000000e+00 8.94e-01 4.41e+03 1.5 1.69e+01 - 1.00e+00 3.86e-01f 1\n", - " 17r 0.0000000e+00 2.25e-01 5.46e+01 1.5 2.19e+00 - 1.00e+00 1.00e+00f 1\n", - " 18r 0.0000000e+00 2.37e-01 9.47e+02 -0.6 7.38e-01 - 9.75e-01 5.84e-01f 1\n", - " 19r 0.0000000e+00 6.43e-02 6.24e+02 -0.6 2.84e+01 - 2.45e-01 2.84e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 6.48e-02 2.45e+03 -0.6 1.19e+01 - 7.92e-01 5.99e-03f 1\n", - " 21r 0.0000000e+00 4.45e-02 1.69e+03 -0.6 7.52e+00 - 1.00e+00 5.12e-01f 1\n", - " 22r 0.0000000e+00 3.91e-02 4.95e+02 -0.6 3.98e+00 - 1.00e+00 7.96e-01f 1\n", - " 23r 0.0000000e+00 3.83e-02 2.58e+02 -0.6 1.20e+00 - 1.00e+00 9.14e-01f 1\n", - " 24r 0.0000000e+00 3.82e-02 7.17e-03 -0.6 2.65e-01 - 1.00e+00 1.00e+00f 1\n", - " 25r 0.0000000e+00 3.79e-02 2.83e+02 -3.0 4.29e-01 - 9.86e-01 7.73e-01f 1\n", - " 26r 0.0000000e+00 3.12e-02 2.66e+03 -3.0 1.42e+02 - 7.88e-01 1.37e-02f 1\n", - " 27r 0.0000000e+00 2.20e-02 3.80e+03 -3.0 1.34e+02 - 9.84e-01 1.98e-02f 1\n", - " 28r 0.0000000e+00 1.40e-02 4.09e+03 -3.0 1.19e+02 - 1.00e+00 2.98e-02f 1\n", - " 29r 0.0000000e+00 1.08e-02 3.74e+03 -3.0 7.23e+00 - 1.00e+00 1.08e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.41e-04 2.55e+02 -3.0 2.69e+00 - 1.00e+00 9.35e-01f 1\n", - " 31r 0.0000000e+00 1.74e-06 5.41e-05 -3.0 8.11e-02 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 1.01e-07 4.51e+01 -6.7 1.08e-04 - 9.18e-01 9.75e-01f 1\n", - " 33r 0.0000000e+00 1.29e-08 1.71e+01 -6.7 5.45e-06 - 1.00e+00 8.73e-01f 1\n", - " 34r 0.0000000e+00 6.85e-13 1.25e-10 -6.7 2.06e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 34\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 6.8478556158879655e-13 6.8478556158879655e-13\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 6.8478556158879655e-13 6.8478556158879655e-13\n", - "\n", - "\n", - "Number of objective function evaluations = 40\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 40\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 36\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 34\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.037\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", - " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 4.99e-02h 1\n", - " 3 0.0000000e+00 1.58e+02 3.12e+03 -1.0 1.59e+02 - 2.24e-01 7.73e-04h 1\n", - " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.86e-07R 5\n", - " 5r 0.0000000e+00 1.20e+02 3.93e+04 2.2 1.91e+04 - 1.16e-02 2.86e-03f 1\n", - " 6r 0.0000000e+00 1.05e+02 3.81e+04 2.2 1.37e+04 - 6.69e-03 1.23e-03f 1\n", - " 7r 0.0000000e+00 1.03e+02 3.52e+04 2.2 1.04e+04 - 1.05e-02 1.58e-04f 1\n", - " 8r 0.0000000e+00 4.10e+01 3.45e+04 2.2 7.27e+03 - 1.17e-02 8.65e-03f 1\n", - " 9r 0.0000000e+00 1.37e+01 2.73e+04 2.2 2.55e+03 - 5.73e-02 1.32e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.16e+01 1.94e+04 2.2 5.29e+02 - 2.56e-01 1.58e-02f 1\n", - " 11r 0.0000000e+00 6.27e+00 1.75e+04 2.2 9.79e+01 - 1.11e-01 1.04e-01f 1\n", - " 12r 0.0000000e+00 4.43e+00 1.73e+04 2.2 7.38e+01 - 3.10e-01 1.15e-01f 1\n", - " 13r 0.0000000e+00 2.85e+00 1.06e+04 2.2 5.47e+01 - 4.02e-01 2.23e-01f 1\n", - " 14r 0.0000000e+00 1.91e+00 7.11e+03 1.5 3.26e+01 - 6.71e-01 2.93e-01f 1\n", - " 15r 0.0000000e+00 1.50e+00 3.07e+03 1.5 4.61e+01 - 7.18e-01 2.60e-01f 1\n", - " 16r 0.0000000e+00 8.87e-01 4.41e+03 1.5 1.73e+01 - 1.00e+00 3.83e-01f 1\n", - " 17r 0.0000000e+00 2.27e-01 5.38e+01 1.5 2.19e+00 - 1.00e+00 1.00e+00f 1\n", - " 18r 0.0000000e+00 2.39e-01 9.36e+02 -0.6 7.35e-01 - 9.74e-01 5.85e-01f 1\n", - " 19r 0.0000000e+00 6.31e-02 6.07e+02 -0.6 2.85e+01 - 2.46e-01 2.89e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 6.37e-02 2.31e+03 -0.6 1.20e+01 - 7.53e-01 5.98e-03f 1\n", - " 21r 0.0000000e+00 4.43e-02 1.69e+03 -0.6 7.41e+00 - 1.00e+00 5.06e-01f 1\n", - " 22r 0.0000000e+00 3.90e-02 5.07e+02 -0.6 3.99e+00 - 1.00e+00 7.93e-01f 1\n", - " 23r 0.0000000e+00 3.82e-02 2.64e+02 -0.6 1.21e+00 - 1.00e+00 9.12e-01f 1\n", - " 24r 0.0000000e+00 3.81e-02 7.27e-03 -0.6 2.68e-01 - 1.00e+00 1.00e+00f 1\n", - " 25r 0.0000000e+00 3.78e-02 2.85e+02 -3.0 4.25e-01 - 9.85e-01 7.72e-01f 1\n", - " 26r 0.0000000e+00 3.10e-02 2.65e+03 -3.0 1.42e+02 - 7.84e-01 1.39e-02f 1\n", - " 27r 0.0000000e+00 2.15e-02 3.78e+03 -3.0 1.33e+02 - 9.82e-01 2.06e-02f 1\n", - " 28r 0.0000000e+00 1.38e-02 4.08e+03 -3.0 1.18e+02 - 1.00e+00 2.96e-02f 1\n", - " 29r 0.0000000e+00 1.08e-02 3.73e+03 -3.0 6.85e+00 - 1.00e+00 1.05e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.72e-04 2.56e+02 -3.0 2.68e+00 - 1.00e+00 9.35e-01f 1\n", - " 31r 0.0000000e+00 1.73e-06 5.39e-05 -3.0 8.85e-02 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 9.53e-08 4.12e+01 -6.7 1.08e-04 - 9.20e-01 9.77e-01f 1\n", - " 33r 0.0000000e+00 1.21e-08 1.69e+01 -6.7 5.13e-06 - 1.00e+00 8.74e-01f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 9.5585005434679369e-09 1.2079203395624852e-08\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 9.5585005434679369e-09 1.2079203395624852e-08\n", - "\n", - "\n", - "Number of objective function evaluations = 39\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 39\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.037\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", - " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.04e-02h 1\n", - " 3 0.0000000e+00 1.58e+02 3.08e+03 -1.0 1.59e+02 - 2.24e-01 7.84e-04h 1\n", - " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.93e-07R 5\n", - " 5r 0.0000000e+00 1.20e+02 3.89e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", - " 6r 0.0000000e+00 1.05e+02 3.76e+04 2.2 1.37e+04 - 6.69e-03 1.19e-03f 1\n", - " 7r 0.0000000e+00 1.04e+02 3.47e+04 2.2 1.04e+04 - 1.02e-02 1.57e-04f 1\n", - " 8r 0.0000000e+00 4.20e+01 3.40e+04 2.2 7.36e+03 - 1.14e-02 8.47e-03f 1\n", - " 9r 0.0000000e+00 1.38e+01 2.70e+04 2.2 2.66e+03 - 5.52e-02 1.26e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.16e+01 1.87e+04 2.2 5.86e+02 - 2.38e-01 1.61e-02f 1\n", - " 11r 0.0000000e+00 6.12e+00 1.70e+04 2.2 9.99e+01 - 1.06e-01 1.00e-01f 1\n", - " 12r 0.0000000e+00 4.42e+00 1.75e+04 2.2 7.52e+01 - 3.27e-01 1.11e-01f 1\n", - " 13r 0.0000000e+00 2.85e+00 1.03e+04 2.2 5.57e+01 - 4.51e-01 2.20e-01f 1\n", - " 14r 0.0000000e+00 1.86e+00 6.68e+03 1.5 3.31e+01 - 6.53e-01 3.00e-01f 1\n", - " 15r 0.0000000e+00 1.52e+00 2.52e+03 1.5 4.59e+01 - 7.16e-01 2.64e-01f 1\n", - " 16r 0.0000000e+00 8.89e-01 4.42e+03 1.5 1.66e+01 - 1.00e+00 3.89e-01f 1\n", - " 17r 0.0000000e+00 2.27e-01 5.41e+01 1.5 2.17e+00 - 1.00e+00 1.00e+00f 1\n", - " 18r 0.0000000e+00 2.39e-01 9.25e+02 -0.6 7.37e-01 - 9.74e-01 5.88e-01f 1\n", - " 19r 0.0000000e+00 6.29e-02 5.98e+02 -0.6 2.85e+01 - 2.46e-01 2.89e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 6.35e-02 2.31e+03 -0.6 1.20e+01 - 7.53e-01 5.99e-03f 1\n", - " 21r 0.0000000e+00 4.42e-02 1.70e+03 -0.6 7.41e+00 - 1.00e+00 5.06e-01f 1\n", - " 22r 0.0000000e+00 3.89e-02 5.02e+02 -0.6 3.99e+00 - 1.00e+00 7.95e-01f 1\n", - " 23r 0.0000000e+00 3.81e-02 2.55e+02 -0.6 1.20e+00 - 1.00e+00 9.16e-01f 1\n", - " 24r 0.0000000e+00 3.80e-02 7.15e-03 -0.6 2.62e-01 - 1.00e+00 1.00e+00f 1\n", - " 25r 0.0000000e+00 3.77e-02 2.81e+02 -3.0 4.25e-01 - 9.84e-01 7.74e-01f 1\n", - " 26r 0.0000000e+00 3.09e-02 2.65e+03 -3.0 1.42e+02 - 7.82e-01 1.39e-02f 1\n", - " 27r 0.0000000e+00 2.14e-02 3.79e+03 -3.0 1.33e+02 - 9.82e-01 2.06e-02f 1\n", - " 28r 0.0000000e+00 1.37e-02 4.10e+03 -3.0 1.18e+02 - 1.00e+00 2.96e-02f 1\n", - " 29r 0.0000000e+00 1.08e-02 3.75e+03 -3.0 6.76e+00 - 1.00e+00 1.05e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.77e-04 2.55e+02 -3.0 2.68e+00 - 1.00e+00 9.35e-01f 1\n", - " 31r 0.0000000e+00 1.73e-06 5.44e-05 -3.0 8.97e-02 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 9.94e-08 4.42e+01 -6.7 1.08e-04 - 9.18e-01 9.76e-01f 1\n", - " 33r 0.0000000e+00 1.26e-08 1.69e+01 -6.7 5.37e-06 - 1.00e+00 8.73e-01f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 9.9154802262365633e-09 1.2614181404999676e-08\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 9.9154802262365633e-09 1.2614181404999676e-08\n", - "\n", - "\n", - "Number of objective function evaluations = 39\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 39\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.038\n", - "Total CPU secs in NLP function evaluations = 0.004\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", - " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.02e-02h 1\n", - " 3 0.0000000e+00 1.58e+02 3.10e+03 -1.0 1.59e+02 - 2.25e-01 7.81e-04h 1\n", - " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.91e-07R 5\n", - " 5r 0.0000000e+00 1.20e+02 3.91e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", - " 6r 0.0000000e+00 1.05e+02 3.78e+04 2.2 1.37e+04 - 6.71e-03 1.19e-03f 1\n", - " 7r 0.0000000e+00 1.04e+02 3.49e+04 2.2 1.04e+04 - 1.03e-02 1.60e-04f 1\n", - " 8r 0.0000000e+00 4.17e+01 3.42e+04 2.2 7.34e+03 - 1.15e-02 8.52e-03f 1\n", - " 9r 0.0000000e+00 1.38e+01 2.72e+04 2.2 2.63e+03 - 5.59e-02 1.28e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.16e+01 1.90e+04 2.2 5.63e+02 - 2.43e-01 1.60e-02f 1\n", - " 11r 0.0000000e+00 6.18e+00 1.71e+04 2.2 9.93e+01 - 1.07e-01 1.01e-01f 1\n", - " 12r 0.0000000e+00 4.43e+00 1.75e+04 2.2 7.48e+01 - 3.25e-01 1.12e-01f 1\n", - " 13r 0.0000000e+00 2.86e+00 1.03e+04 2.2 5.54e+01 - 4.44e-01 2.21e-01f 1\n", - " 14r 0.0000000e+00 1.86e+00 6.68e+03 1.5 3.29e+01 - 6.56e-01 3.00e-01f 1\n", - " 15r 0.0000000e+00 1.51e+00 2.55e+03 1.5 4.58e+01 - 7.18e-01 2.64e-01f 1\n", - " 16r 0.0000000e+00 8.86e-01 4.37e+03 1.5 1.65e+01 - 1.00e+00 3.90e-01f 1\n", - " 17r 0.0000000e+00 2.25e-01 5.37e+01 1.5 2.15e+00 - 1.00e+00 1.00e+00f 1\n", - " 18r 0.0000000e+00 2.38e-01 9.22e+02 -0.6 7.39e-01 - 9.75e-01 5.88e-01f 1\n", - " 19r 0.0000000e+00 6.37e-02 6.02e+02 -0.6 2.85e+01 - 2.45e-01 2.86e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 6.42e-02 2.39e+03 -0.6 1.19e+01 - 7.78e-01 5.99e-03f 1\n", - " 21r 0.0000000e+00 4.44e-02 1.69e+03 -0.6 7.48e+00 - 1.00e+00 5.10e-01f 1\n", - " 22r 0.0000000e+00 3.90e-02 4.98e+02 -0.6 3.99e+00 - 1.00e+00 7.95e-01f 1\n", - " 23r 0.0000000e+00 3.82e-02 2.52e+02 -0.6 1.20e+00 - 1.00e+00 9.16e-01f 1\n", - " 24r 0.0000000e+00 3.81e-02 7.14e-03 -0.6 2.62e-01 - 1.00e+00 1.00e+00f 1\n", - " 25r 0.0000000e+00 3.78e-02 2.82e+02 -3.0 4.28e-01 - 9.85e-01 7.73e-01f 1\n", - " 26r 0.0000000e+00 3.11e-02 2.66e+03 -3.0 1.42e+02 - 7.86e-01 1.38e-02f 1\n", - " 27r 0.0000000e+00 2.18e-02 3.78e+03 -3.0 1.33e+02 - 9.83e-01 2.01e-02f 1\n", - " 28r 0.0000000e+00 1.39e-02 4.09e+03 -3.0 1.19e+02 - 1.00e+00 2.97e-02f 1\n", - " 29r 0.0000000e+00 1.08e-02 3.73e+03 -3.0 7.05e+00 - 1.00e+00 1.07e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.55e-04 2.55e+02 -3.0 2.68e+00 - 1.00e+00 9.35e-01f 1\n", - " 31r 0.0000000e+00 1.71e-06 5.38e-05 -3.0 8.45e-02 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 9.62e-08 4.17e+01 -6.7 1.08e-04 - 9.20e-01 9.76e-01f 1\n", - " 33r 0.0000000e+00 1.22e-08 1.70e+01 -6.7 5.17e-06 - 1.00e+00 8.73e-01f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 9.6573096011856024e-09 1.2203561846685839e-08\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 9.6573096011856024e-09 1.2203561846685839e-08\n", - "\n", - "\n", - "Number of objective function evaluations = 39\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 39\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.034\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", - " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.04e-02h 1\n", - " 3 0.0000000e+00 1.58e+02 3.08e+03 -1.0 1.59e+02 - 2.25e-01 7.84e-04h 1\n", - " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.93e-07R 5\n", - " 5r 0.0000000e+00 1.20e+02 3.90e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", - " 6r 0.0000000e+00 1.05e+02 3.77e+04 2.2 1.37e+04 - 6.71e-03 1.19e-03f 1\n", - " 7r 0.0000000e+00 1.04e+02 3.48e+04 2.2 1.04e+04 - 1.02e-02 1.59e-04f 1\n", - " 8r 0.0000000e+00 4.19e+01 3.41e+04 2.2 7.35e+03 - 1.14e-02 8.49e-03f 1\n", - " 9r 0.0000000e+00 1.38e+01 2.71e+04 2.2 2.65e+03 - 5.55e-02 1.27e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.16e+01 1.88e+04 2.2 5.72e+02 - 2.40e-01 1.61e-02f 1\n", - " 11r 0.0000000e+00 6.15e+00 1.71e+04 2.2 9.97e+01 - 1.06e-01 1.01e-01f 1\n", - " 12r 0.0000000e+00 4.42e+00 1.75e+04 2.2 7.51e+01 - 3.26e-01 1.11e-01f 1\n", - " 13r 0.0000000e+00 2.86e+00 1.03e+04 2.2 5.56e+01 - 4.49e-01 2.20e-01f 1\n", - " 14r 0.0000000e+00 1.86e+00 6.69e+03 1.5 3.31e+01 - 6.53e-01 2.99e-01f 1\n", - " 15r 0.0000000e+00 1.52e+00 2.52e+03 1.5 4.60e+01 - 7.15e-01 2.64e-01f 1\n", - " 16r 0.0000000e+00 8.90e-01 4.38e+03 1.5 1.67e+01 - 1.00e+00 3.88e-01f 1\n", - " 17r 0.0000000e+00 2.26e-01 5.40e+01 1.5 2.17e+00 - 1.00e+00 1.00e+00f 1\n", - " 18r 0.0000000e+00 2.38e-01 9.33e+02 -0.6 7.38e-01 - 9.75e-01 5.87e-01f 1\n", - " 19r 0.0000000e+00 6.37e-02 6.09e+02 -0.6 2.85e+01 - 2.45e-01 2.86e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 6.42e-02 2.39e+03 -0.6 1.19e+01 - 7.75e-01 5.99e-03f 1\n", - " 21r 0.0000000e+00 4.44e-02 1.69e+03 -0.6 7.47e+00 - 1.00e+00 5.09e-01f 1\n", - " 22r 0.0000000e+00 3.90e-02 4.97e+02 -0.6 3.99e+00 - 1.00e+00 7.96e-01f 1\n", - " 23r 0.0000000e+00 3.82e-02 2.54e+02 -0.6 1.20e+00 - 1.00e+00 9.16e-01f 1\n", - " 24r 0.0000000e+00 3.81e-02 7.14e-03 -0.6 2.63e-01 - 1.00e+00 1.00e+00f 1\n", - " 25r 0.0000000e+00 3.78e-02 2.82e+02 -3.0 4.28e-01 - 9.85e-01 7.73e-01f 1\n", - " 26r 0.0000000e+00 3.11e-02 2.66e+03 -3.0 1.42e+02 - 7.86e-01 1.38e-02f 1\n", - " 27r 0.0000000e+00 2.18e-02 3.80e+03 -3.0 1.33e+02 - 9.83e-01 2.01e-02f 1\n", - " 28r 0.0000000e+00 1.39e-02 4.09e+03 -3.0 1.19e+02 - 1.00e+00 2.97e-02f 1\n", - " 29r 0.0000000e+00 1.08e-02 3.74e+03 -3.0 7.05e+00 - 1.00e+00 1.07e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.55e-04 2.55e+02 -3.0 2.69e+00 - 1.00e+00 9.35e-01f 1\n", - " 31r 0.0000000e+00 1.73e-06 5.42e-05 -3.0 8.44e-02 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 1.00e-07 4.44e+01 -6.7 1.08e-04 - 9.18e-01 9.75e-01f 1\n", - " 33r 0.0000000e+00 1.27e-08 1.70e+01 -6.7 5.39e-06 - 1.00e+00 8.73e-01f 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 9.9941191980587378e-09 1.2730255267110208e-08\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 9.9941191980587378e-09 1.2730255267110208e-08\n", - "\n", - "\n", - "Number of objective function evaluations = 39\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 39\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 35\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", - " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.08e-02h 1\n", - " 3 0.0000000e+00 1.58e+02 3.05e+03 -1.0 1.59e+02 - 2.25e-01 7.95e-04h 1\n", - " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 2.50e-07R 6\n", - " 5r 0.0000000e+00 1.20e+02 3.86e+04 2.2 1.91e+04 - 1.16e-02 2.88e-03f 1\n", - " 6r 0.0000000e+00 1.06e+02 3.72e+04 2.2 1.37e+04 - 6.76e-03 1.13e-03f 1\n", - " 7r 0.0000000e+00 1.04e+02 3.44e+04 2.2 1.04e+04 - 9.85e-03 1.63e-04f 1\n", - " 8r 0.0000000e+00 4.31e+01 3.37e+04 2.2 7.45e+03 - 1.11e-02 8.31e-03f 1\n", - " 9r 0.0000000e+00 1.40e+01 2.69e+04 2.2 2.77e+03 - 5.36e-02 1.22e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.17e+01 1.84e+04 2.2 6.19e+02 - 2.25e-01 1.64e-02f 1\n", - " 11r 0.0000000e+00 6.05e+00 1.67e+04 2.2 1.01e+02 - 1.02e-01 9.77e-02f 1\n", - " 12r 0.0000000e+00 4.42e+00 1.78e+04 2.2 7.63e+01 - 3.32e-01 1.07e-01f 1\n", - " 13r 0.0000000e+00 2.88e+00 1.04e+04 2.2 5.65e+01 - 4.71e-01 2.14e-01f 1\n", - " 14r 0.0000000e+00 1.84e+00 6.85e+03 1.5 3.38e+01 - 6.41e-01 2.96e-01f 1\n", - " 15r 0.0000000e+00 1.52e+00 2.78e+03 1.5 4.70e+01 - 7.04e-01 2.66e-01f 1\n", - " 16r 0.0000000e+00 9.06e-01 4.52e+03 1.5 1.72e+01 - 1.00e+00 3.81e-01f 1\n", - " 17r 0.0000000e+00 2.24e-01 5.61e+01 1.5 2.23e+00 - 1.00e+00 1.00e+00f 1\n", - " 18r 0.0000000e+00 2.36e-01 9.81e+02 -0.6 7.37e-01 - 9.75e-01 5.78e-01f 1\n", - " 19r 0.0000000e+00 6.51e-02 6.57e+02 -0.6 2.84e+01 - 2.44e-01 2.80e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 6.56e-02 2.56e+03 -0.6 1.20e+01 - 8.21e-01 5.99e-03f 1\n", - " 21r 0.0000000e+00 4.46e-02 1.69e+03 -0.6 7.60e+00 - 1.00e+00 5.16e-01f 1\n", - " 22r 0.0000000e+00 3.91e-02 4.89e+02 -0.6 3.98e+00 - 1.00e+00 7.97e-01f 1\n", - " 23r 0.0000000e+00 3.83e-02 2.60e+02 -0.6 1.19e+00 - 1.00e+00 9.14e-01f 1\n", - " 24r 0.0000000e+00 3.82e-02 7.19e-03 -0.6 2.66e-01 - 1.00e+00 1.00e+00f 1\n", - " 25r 0.0000000e+00 3.79e-02 2.82e+02 -3.0 4.32e-01 - 9.86e-01 7.74e-01f 1\n", - " 26r 0.0000000e+00 3.13e-02 2.66e+03 -3.0 1.42e+02 - 7.90e-01 1.36e-02f 1\n", - " 27r 0.0000000e+00 2.23e-02 3.82e+03 -3.0 1.34e+02 - 9.84e-01 1.94e-02f 1\n", - " 28r 0.0000000e+00 1.70e-02 4.15e+03 -3.0 1.17e+02 - 1.00e+00 1.96e-02f 1\n", - " 29r 0.0000000e+00 1.25e-02 3.73e+03 -3.0 1.19e+01 - 1.00e+00 1.23e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.09e-04 2.57e+02 -3.0 3.13e+00 - 1.00e+00 9.34e-01f 1\n", - " 31r 0.0000000e+00 1.77e-06 5.35e-05 -3.0 7.34e-02 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 1.12e-07 5.08e+01 -6.7 1.07e-04 - 9.14e-01 9.72e-01f 1\n", - " 33r 0.0000000e+00 1.43e-08 1.71e+01 -6.7 6.06e-06 - 1.00e+00 8.73e-01f 1\n", - " 34r 0.0000000e+00 6.86e-13 1.52e-10 -6.7 2.29e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 34\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 6.8567374000849668e-13 6.8567374000849668e-13\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 6.8567374000849668e-13 6.8567374000849668e-13\n", - "\n", - "\n", - "Number of objective function evaluations = 41\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 41\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 36\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 34\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.44e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.67e+02 2.48e+01 -1.0 2.44e+02 - 1.20e-02 3.15e-01f 1\n", - " 2 0.0000000e+00 1.59e+02 2.36e+01 -1.0 1.67e+02 - 1.38e-01 5.04e-02h 1\n", - " 3 0.0000000e+00 1.58e+02 3.09e+03 -1.0 1.59e+02 - 2.25e-01 7.84e-04h 1\n", - " 4r 0.0000000e+00 1.58e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.93e-07R 5\n", - " 5r 0.0000000e+00 1.20e+02 3.91e+04 2.2 1.91e+04 - 1.16e-02 2.87e-03f 1\n", - " 6r 0.0000000e+00 1.05e+02 3.77e+04 2.2 1.36e+04 - 6.75e-03 1.17e-03f 1\n", - " 7r 0.0000000e+00 1.04e+02 3.49e+04 2.2 1.04e+04 - 1.02e-02 1.63e-04f 1\n", - " 8r 0.0000000e+00 4.21e+01 3.42e+04 2.2 7.37e+03 - 1.14e-02 8.49e-03f 1\n", - " 9r 0.0000000e+00 1.38e+01 2.71e+04 2.2 2.66e+03 - 5.56e-02 1.27e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.16e+01 1.89e+04 2.2 5.64e+02 - 2.40e-01 1.61e-02f 1\n", - " 11r 0.0000000e+00 6.18e+00 1.71e+04 2.2 9.96e+01 - 1.06e-01 1.01e-01f 1\n", - " 12r 0.0000000e+00 4.43e+00 1.76e+04 2.2 7.50e+01 - 3.26e-01 1.11e-01f 1\n", - " 13r 0.0000000e+00 2.88e+00 1.03e+04 2.2 5.56e+01 - 4.49e-01 2.18e-01f 1\n", - " 14r 0.0000000e+00 1.86e+00 6.73e+03 1.5 3.32e+01 - 6.51e-01 2.97e-01f 1\n", - " 15r 0.0000000e+00 1.52e+00 2.56e+03 1.5 4.63e+01 - 7.12e-01 2.64e-01f 1\n", - " 16r 0.0000000e+00 8.94e-01 4.37e+03 1.5 1.70e+01 - 1.00e+00 3.85e-01f 1\n", - " 17r 0.0000000e+00 2.24e-01 5.45e+01 1.5 2.19e+00 - 1.00e+00 1.00e+00f 1\n", - " 18r 0.0000000e+00 2.36e-01 9.54e+02 -0.6 7.39e-01 - 9.76e-01 5.83e-01f 1\n", - " 19r 0.0000000e+00 6.50e-02 6.35e+02 -0.6 2.84e+01 - 2.44e-01 2.81e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 6.55e-02 2.52e+03 -0.6 1.19e+01 - 8.16e-01 5.98e-03f 1\n", - " 21r 0.0000000e+00 4.46e-02 1.68e+03 -0.6 7.59e+00 - 1.00e+00 5.16e-01f 1\n", - " 22r 0.0000000e+00 3.92e-02 4.90e+02 -0.6 3.98e+00 - 1.00e+00 7.96e-01f 1\n", - " 23r 0.0000000e+00 3.84e-02 2.56e+02 -0.6 1.19e+00 - 1.00e+00 9.15e-01f 1\n", - " 24r 0.0000000e+00 3.83e-02 7.16e-03 -0.6 2.65e-01 - 1.00e+00 1.00e+00f 1\n", - " 25r 0.0000000e+00 3.80e-02 2.83e+02 -3.0 4.32e-01 - 9.86e-01 7.73e-01f 1\n", - " 26r 0.0000000e+00 3.14e-02 2.66e+03 -3.0 1.42e+02 - 7.90e-01 1.36e-02f 1\n", - " 27r 0.0000000e+00 2.24e-02 3.80e+03 -3.0 1.34e+02 - 9.84e-01 1.94e-02f 1\n", - " 28r 0.0000000e+00 1.70e-02 4.13e+03 -3.0 1.15e+02 - 1.00e+00 1.95e-02f 1\n", - " 29r 0.0000000e+00 1.17e-02 3.62e+03 -3.0 1.08e+01 - 1.00e+00 1.44e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 2.90e-04 2.53e+02 -3.0 2.94e+00 - 1.00e+00 9.33e-01f 1\n", - " 31r 0.0000000e+00 1.72e-06 5.39e-05 -3.0 6.87e-02 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 1.00e-07 4.41e+01 -6.7 1.06e-04 - 9.19e-01 9.75e-01f 1\n", - " 33r 0.0000000e+00 1.28e-08 1.71e+01 -6.7 5.37e-06 - 1.00e+00 8.73e-01f 1\n", - " 34r 0.0000000e+00 6.87e-13 1.21e-10 -6.7 2.04e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 34\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 6.8656191842819680e-13 6.8656191842819680e-13\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 6.8656191842819680e-13 6.8656191842819680e-13\n", - "\n", - "\n", - "Number of objective function evaluations = 40\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 40\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 36\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 34\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Existed information has been added.\n", - "FIM: [[ 67.43944991 16.97355972 -181.02402494 -68.75272095]\n", - " [ 16.97355972 65.45319417 -35.53610815 -321.03948251]\n", - " [-181.02402494 -35.53610815 511.50883088 153.58161758]\n", - " [ -68.75272095 -321.03948251 153.58161758 1677.99578032]]\n", - "Trace: 2322.3972552808445\n", - "Determinant: 8424818.599161308\n", - "Condition number: 1004.2326176367176\n", - "Minimal eigen value: 1.7571556450822234\n", - "Eigen values: [1.76459301e+03 5.51116915e+02 1.75715565e+00 4.93017154e+00]\n", - "Eigen vectors: [[ 0.05536236 -0.32851776 -0.75957499 0.55862056]\n", - " [ 0.1869423 0.01478038 0.58663915 0.78783794]\n", - " [-0.13240968 0.93348404 -0.2605014 0.20788037]\n", - " [-0.97183088 -0.14305654 0.1050684 0.15504901]]\n", - "========This is the No. 4 experiment.========\n", - "Design variables: {'CA0': {0: 5}, 'T': {0: 562}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", - " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.88e-02h 1\n", - " 3 0.0000000e+00 1.72e+02 2.94e+03 -1.0 1.72e+02 - 2.14e-01 7.68e-04h 1\n", - " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.83e-07R 5\n", - " 5r 0.0000000e+00 1.32e+02 3.73e+04 2.2 1.86e+04 - 1.27e-02 3.07e-03f 1\n", - " 6r 0.0000000e+00 1.29e+02 3.53e+04 2.2 1.35e+04 - 7.38e-03 2.58e-04f 1\n", - " 7r 0.0000000e+00 7.51e+01 3.48e+04 2.2 1.11e+04 - 6.31e-03 5.17e-03f 1\n", - " 8r 0.0000000e+00 5.23e+01 2.95e+04 2.2 7.15e+03 - 2.83e-02 3.28e-03f 1\n", - " 9r 0.0000000e+00 1.33e+01 1.97e+04 2.2 2.19e+03 - 8.00e-02 2.15e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.74e+00 1.51e+04 2.2 1.13e+02 - 1.04e-01 6.99e-02f 1\n", - " 11r 0.0000000e+00 3.63e+00 6.94e+03 2.2 8.45e+01 - 2.09e-01 1.03e-01f 1\n", - " 12r 0.0000000e+00 2.69e+00 1.41e+04 1.5 5.55e+01 - 3.97e-01 1.06e-01f 1\n", - " 13r 0.0000000e+00 2.16e+00 1.35e+04 1.5 9.57e+01 - 2.38e-01 1.23e-01f 1\n", - " 14r 0.0000000e+00 1.96e+00 1.15e+04 1.5 7.79e+01 - 3.11e-01 1.70e-01f 1\n", - " 15r 0.0000000e+00 1.27e+00 6.95e+03 1.5 4.43e+01 - 5.70e-01 2.34e-01f 1\n", - " 16r 0.0000000e+00 6.67e-01 2.99e+03 1.5 1.40e+01 - 8.52e-01 4.33e-01f 1\n", - " 17r 0.0000000e+00 2.60e-01 2.98e+03 1.5 1.74e+00 - 8.24e-01 6.96e-01f 1\n", - " 18r 0.0000000e+00 2.57e-01 1.69e+03 1.5 3.73e-01 - 8.51e-01 1.00e+00f 1\n", - " 19r 0.0000000e+00 2.72e-01 3.02e+02 0.8 7.48e-01 - 1.00e+00 8.81e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 2.35e-01 8.47e+02 0.1 3.35e+00 - 6.80e-01 3.83e-01f 1\n", - " 21r 0.0000000e+00 9.44e-02 6.04e+02 0.1 1.29e+01 - 7.27e-01 5.48e-01f 1\n", - " 22r 0.0000000e+00 7.77e-02 5.43e+02 0.1 2.21e+00 - 9.62e-01 6.59e-01f 1\n", - " 23r 0.0000000e+00 7.90e-02 8.60e-02 0.1 7.77e-01 - 1.00e+00 1.00e+00f 1\n", - " 24r 0.0000000e+00 7.68e-02 3.10e+02 -2.0 7.47e-01 - 9.08e-01 7.24e-01f 1\n", - " 25r 0.0000000e+00 5.47e-02 2.79e+03 -2.0 6.24e+01 - 9.05e-01 7.60e-02f 1\n", - " 26r 0.0000000e+00 4.22e-02 3.10e+03 -2.0 3.76e+01 - 9.40e-01 9.45e-02f 1\n", - " 27r 0.0000000e+00 2.87e-02 3.07e+03 -2.0 3.24e+01 - 1.00e+00 1.19e-01f 1\n", - " 28r 0.0000000e+00 9.66e-03 2.44e+03 -2.0 2.18e+01 - 1.00e+00 2.29e-01f 1\n", - " 29r 0.0000000e+00 2.28e-03 1.70e+03 -2.0 5.91e+00 - 1.00e+00 3.58e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.04e-04 3.49e+02 -2.0 8.98e-01 - 1.00e+00 8.23e-01f 1\n", - " 31r 0.0000000e+00 1.46e-05 3.37e-04 -2.0 1.56e-01 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 5.16e-06 1.12e+03 -4.4 4.99e-03 - 1.00e+00 6.49e-01f 1\n", - " 33r 0.0000000e+00 2.55e-06 2.13e+03 -4.4 4.09e-03 - 9.22e-01 5.21e-01f 1\n", - " 34r 0.0000000e+00 4.55e-07 2.19e+02 -4.4 4.20e-04 - 9.21e-01 9.11e-01f 1\n", - " 35r 0.0000000e+00 1.80e-09 2.87e-07 -4.4 6.36e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 35\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.7977388466761113e-09 1.7977388466761113e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.7977388466761113e-09 1.7977388466761113e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 41\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 41\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 37\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 35\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", - " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.87e-02h 1\n", - " 3 0.0000000e+00 1.72e+02 2.95e+03 -1.0 1.72e+02 - 2.14e-01 7.65e-04h 1\n", - " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.81e-07R 5\n", - " 5r 0.0000000e+00 1.32e+02 3.74e+04 2.2 1.86e+04 - 1.27e-02 3.07e-03f 1\n", - " 6r 0.0000000e+00 1.29e+02 3.55e+04 2.2 1.35e+04 - 7.40e-03 2.72e-04f 1\n", - " 7r 0.0000000e+00 7.50e+01 3.50e+04 2.2 1.11e+04 - 6.35e-03 5.17e-03f 1\n", - " 8r 0.0000000e+00 5.20e+01 2.96e+04 2.2 7.12e+03 - 2.86e-02 3.31e-03f 1\n", - " 9r 0.0000000e+00 1.33e+01 1.98e+04 2.2 2.17e+03 - 8.05e-02 2.15e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.75e+00 1.48e+04 2.2 1.13e+02 - 1.07e-01 7.01e-02f 1\n", - " 11r 0.0000000e+00 3.58e+00 6.96e+03 2.2 8.40e+01 - 2.09e-01 1.08e-01f 1\n", - " 12r 0.0000000e+00 2.54e+00 1.38e+04 1.5 5.47e+01 - 4.04e-01 1.19e-01f 1\n", - " 13r 0.0000000e+00 2.03e+00 1.27e+04 1.5 9.37e+01 - 2.05e-01 1.27e-01f 1\n", - " 14r 0.0000000e+00 1.91e+00 1.07e+04 1.5 7.51e+01 - 3.12e-01 1.82e-01f 1\n", - " 15r 0.0000000e+00 1.18e+00 6.31e+03 1.5 4.12e+01 - 5.62e-01 2.19e-01f 1\n", - " 16r 0.0000000e+00 6.01e-01 2.89e+03 1.5 1.31e+01 - 8.38e-01 4.51e-01f 1\n", - " 17r 0.0000000e+00 2.61e-01 3.01e+03 1.5 1.56e+00 - 8.17e-01 6.92e-01f 1\n", - " 18r 0.0000000e+00 2.57e-01 1.54e+03 1.5 3.43e-01 - 8.58e-01 1.00e+00f 1\n", - " 19r 0.0000000e+00 2.72e-01 2.72e+02 0.8 7.49e-01 - 1.00e+00 8.86e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 2.35e-01 8.44e+02 0.1 3.35e+00 - 6.78e-01 3.83e-01f 1\n", - " 21r 0.0000000e+00 9.44e-02 5.98e+02 0.1 1.29e+01 - 7.25e-01 5.48e-01f 1\n", - " 22r 0.0000000e+00 7.77e-02 5.46e+02 0.1 2.21e+00 - 9.63e-01 6.56e-01f 1\n", - " 23r 0.0000000e+00 7.89e-02 8.69e-02 0.1 7.78e-01 - 1.00e+00 1.00e+00f 1\n", - " 24r 0.0000000e+00 7.68e-02 3.12e+02 -2.0 7.47e-01 - 9.09e-01 7.24e-01f 1\n", - " 25r 0.0000000e+00 5.47e-02 2.79e+03 -2.0 6.24e+01 - 9.06e-01 7.60e-02f 1\n", - " 26r 0.0000000e+00 4.22e-02 3.09e+03 -2.0 3.76e+01 - 9.41e-01 9.42e-02f 1\n", - " 27r 0.0000000e+00 2.87e-02 3.06e+03 -2.0 3.24e+01 - 1.00e+00 1.20e-01f 1\n", - " 28r 0.0000000e+00 9.66e-03 2.44e+03 -2.0 2.18e+01 - 1.00e+00 2.28e-01f 1\n", - " 29r 0.0000000e+00 2.29e-03 1.70e+03 -2.0 5.94e+00 - 1.00e+00 3.55e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.09e-04 3.52e+02 -2.0 8.97e-01 - 1.00e+00 8.21e-01f 1\n", - " 31r 0.0000000e+00 1.46e-05 3.44e-04 -2.0 1.57e-01 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 5.19e-06 1.13e+03 -4.4 4.99e-03 - 1.00e+00 6.47e-01f 1\n", - " 33r 0.0000000e+00 2.57e-06 2.14e+03 -4.4 4.11e-03 - 9.21e-01 5.21e-01f 1\n", - " 34r 0.0000000e+00 4.49e-07 2.02e+02 -4.4 4.22e-04 - 9.20e-01 9.14e-01f 1\n", - " 35r 0.0000000e+00 1.80e-09 2.62e-07 -4.4 6.33e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 35\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.7952785924535419e-09 1.7952785924535419e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.7952785924535419e-09 1.7952785924535419e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 41\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 41\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 37\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 35\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.038\n", - "Total CPU secs in NLP function evaluations = 0.004\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.01e-01f 1\n", - " 2 0.0000000e+00 1.72e+02 2.40e+01 -1.0 1.81e+02 - 1.33e-01 4.82e-02h 1\n", - " 3 0.0000000e+00 1.72e+02 2.99e+03 -1.0 1.72e+02 - 2.14e-01 7.54e-04h 1\n", - " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.75e-07R 5\n", - " 5r 0.0000000e+00 1.32e+02 3.78e+04 2.2 1.86e+04 - 1.27e-02 3.06e-03f 1\n", - " 6r 0.0000000e+00 1.27e+02 3.59e+04 2.2 1.35e+04 - 7.46e-03 3.71e-04f 1\n", - " 7r 0.0000000e+00 7.52e+01 3.53e+04 2.2 1.10e+04 - 6.59e-03 5.05e-03f 1\n", - " 8r 0.0000000e+00 5.03e+01 2.96e+04 2.2 7.03e+03 - 3.13e-02 3.62e-03f 1\n", - " 9r 0.0000000e+00 1.33e+01 2.11e+04 2.2 1.98e+03 - 7.37e-02 2.15e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.76e+00 1.39e+04 2.2 1.20e+02 - 1.26e-01 6.90e-02f 1\n", - " 11r 0.0000000e+00 3.52e+00 7.22e+03 2.2 8.27e+01 - 2.07e-01 1.15e-01f 1\n", - " 12r 0.0000000e+00 2.42e+00 1.36e+04 1.5 5.34e+01 - 4.09e-01 1.31e-01f 1\n", - " 13r 0.0000000e+00 1.93e+00 1.23e+04 1.5 9.09e+01 - 1.87e-01 1.30e-01f 1\n", - " 14r 0.0000000e+00 1.86e+00 1.04e+04 1.5 7.24e+01 - 2.98e-01 1.73e-01f 1\n", - " 15r 0.0000000e+00 1.19e+00 5.84e+03 1.5 4.11e+01 - 5.85e-01 2.21e-01f 1\n", - " 16r 0.0000000e+00 6.04e-01 2.90e+03 1.5 1.31e+01 - 8.41e-01 4.52e-01f 1\n", - " 17r 0.0000000e+00 2.62e-01 4.23e+03 1.5 1.56e+00 - 9.52e-01 7.57e-01f 1\n", - " 18r 0.0000000e+00 2.59e-01 1.56e+03 1.5 2.52e-01 - 8.37e-01 1.00e+00f 1\n", - " 19r 0.0000000e+00 2.74e-01 2.62e+02 0.8 7.49e-01 - 1.00e+00 8.92e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 2.38e-01 8.21e+02 0.1 3.32e+00 - 6.78e-01 3.83e-01f 1\n", - " 21r 0.0000000e+00 9.40e-02 5.63e+02 0.1 1.29e+01 - 7.22e-01 5.55e-01f 1\n", - " 22r 0.0000000e+00 7.78e-02 5.80e+02 0.1 2.16e+00 - 9.90e-01 6.54e-01f 1\n", - " 23r 0.0000000e+00 7.86e-02 8.58e-02 0.1 7.68e-01 - 1.00e+00 1.00e+00f 1\n", - " 24r 0.0000000e+00 7.67e-02 3.27e+02 -2.0 7.41e-01 - 9.19e-01 7.25e-01f 1\n", - " 25r 0.0000000e+00 5.44e-02 2.79e+03 -2.0 6.29e+01 - 9.06e-01 7.62e-02f 1\n", - " 26r 0.0000000e+00 4.23e-02 3.08e+03 -2.0 3.74e+01 - 9.50e-01 9.10e-02f 1\n", - " 27r 0.0000000e+00 2.82e-02 3.05e+03 -2.0 3.25e+01 - 1.00e+00 1.23e-01f 1\n", - " 28r 0.0000000e+00 9.52e-03 2.44e+03 -2.0 2.24e+01 - 1.00e+00 2.23e-01f 1\n", - " 29r 0.0000000e+00 2.40e-03 1.79e+03 -2.0 6.05e+00 - 1.00e+00 3.23e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.58e-04 3.90e+02 -2.0 9.02e-01 - 1.00e+00 8.09e-01f 1\n", - " 31r 0.0000000e+00 1.45e-05 4.01e-04 -2.0 1.69e-01 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 5.31e-06 1.20e+03 -4.4 5.03e-03 - 1.00e+00 6.37e-01f 1\n", - " 33r 0.0000000e+00 2.64e-06 2.13e+03 -4.4 4.26e-03 - 9.18e-01 5.22e-01f 1\n", - " 34r 0.0000000e+00 4.58e-07 1.95e+02 -4.4 4.37e-04 - 9.18e-01 9.15e-01f 1\n", - " 35r 0.0000000e+00 1.74e-09 2.63e-07 -4.4 6.68e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 35\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.7355104020566614e-09 1.7355104020566614e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.7355104020566614e-09 1.7355104020566614e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 41\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 41\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 37\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 35\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.045\n", - "Total CPU secs in NLP function evaluations = 0.005\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", - " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.87e-02h 1\n", - " 3 0.0000000e+00 1.72e+02 2.95e+03 -1.0 1.72e+02 - 2.14e-01 7.65e-04h 1\n", - " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.81e-07R 5\n", - " 5r 0.0000000e+00 1.32e+02 3.73e+04 2.2 1.86e+04 - 1.26e-02 3.07e-03f 1\n", - " 6r 0.0000000e+00 1.28e+02 3.54e+04 2.2 1.35e+04 - 7.42e-03 2.98e-04f 1\n", - " 7r 0.0000000e+00 7.48e+01 3.49e+04 2.2 1.11e+04 - 6.36e-03 5.16e-03f 1\n", - " 8r 0.0000000e+00 5.16e+01 2.95e+04 2.2 7.10e+03 - 2.90e-02 3.35e-03f 1\n", - " 9r 0.0000000e+00 1.33e+01 1.98e+04 2.2 2.13e+03 - 7.96e-02 2.16e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.73e+00 1.45e+04 2.2 1.13e+02 - 1.11e-01 7.03e-02f 1\n", - " 11r 0.0000000e+00 3.43e+00 7.12e+03 2.2 8.37e+01 - 2.10e-01 1.15e-01f 1\n", - " 12r 0.0000000e+00 2.34e+00 1.25e+04 1.5 5.36e+01 - 3.82e-01 1.31e-01f 1\n", - " 13r 0.0000000e+00 1.88e+00 1.14e+04 1.5 9.09e+01 - 1.78e-01 1.27e-01f 1\n", - " 14r 0.0000000e+00 1.85e+00 9.82e+03 1.5 7.34e+01 - 2.81e-01 1.66e-01f 1\n", - " 15r 0.0000000e+00 1.23e+00 6.11e+03 1.5 4.32e+01 - 5.36e-01 2.17e-01f 1\n", - " 16r 0.0000000e+00 6.34e-01 3.11e+03 1.5 1.47e+01 - 8.27e-01 4.18e-01f 1\n", - " 17r 0.0000000e+00 2.62e-01 2.97e+03 1.5 1.73e+00 - 8.46e-01 7.17e-01f 1\n", - " 18r 0.0000000e+00 2.59e-01 1.91e+03 1.5 3.10e-01 - 8.33e-01 1.00e+00f 1\n", - " 19r 0.0000000e+00 2.73e-01 3.21e+02 0.8 7.48e-01 - 1.00e+00 8.84e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 2.37e-01 8.49e+02 0.1 3.34e+00 - 6.81e-01 3.83e-01f 1\n", - " 21r 0.0000000e+00 9.41e-02 5.87e+02 0.1 1.29e+01 - 7.25e-01 5.54e-01f 1\n", - " 22r 0.0000000e+00 7.77e-02 5.77e+02 0.1 2.17e+00 - 9.86e-01 6.59e-01f 1\n", - " 23r 0.0000000e+00 7.85e-02 8.38e-02 0.1 7.66e-01 - 1.00e+00 1.00e+00f 1\n", - " 24r 0.0000000e+00 7.65e-02 3.29e+02 -2.0 7.42e-01 - 9.21e-01 7.26e-01f 1\n", - " 25r 0.0000000e+00 5.43e-02 2.80e+03 -2.0 6.29e+01 - 9.05e-01 7.59e-02f 1\n", - " 26r 0.0000000e+00 4.23e-02 3.11e+03 -2.0 3.74e+01 - 9.52e-01 9.08e-02f 1\n", - " 27r 0.0000000e+00 2.81e-02 3.06e+03 -2.0 3.26e+01 - 1.00e+00 1.24e-01f 1\n", - " 28r 0.0000000e+00 9.50e-03 2.45e+03 -2.0 2.25e+01 - 1.00e+00 2.22e-01f 1\n", - " 29r 0.0000000e+00 2.40e-03 1.81e+03 -2.0 6.05e+00 - 1.00e+00 3.20e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.60e-04 3.93e+02 -2.0 8.97e-01 - 1.00e+00 8.08e-01f 1\n", - " 31r 0.0000000e+00 1.45e-05 4.02e-04 -2.0 1.69e-01 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 5.28e-06 1.20e+03 -4.4 5.02e-03 - 1.00e+00 6.38e-01f 1\n", - " 33r 0.0000000e+00 2.63e-06 2.10e+03 -4.4 4.24e-03 - 9.19e-01 5.22e-01f 1\n", - " 34r 0.0000000e+00 4.73e-07 2.32e+02 -4.4 4.37e-04 - 9.20e-01 9.08e-01f 1\n", - " 35r 0.0000000e+00 1.72e-09 3.22e-07 -4.4 6.86e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 35\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.7219177195215707e-09 1.7219177195215707e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.7219177195215707e-09 1.7219177195215707e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 41\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 41\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 37\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 35\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.043\n", - "Total CPU secs in NLP function evaluations = 0.004\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", - " 2 0.0000000e+00 1.72e+02 2.40e+01 -1.0 1.81e+02 - 1.33e-01 4.86e-02h 1\n", - " 3 0.0000000e+00 1.72e+02 2.96e+03 -1.0 1.72e+02 - 2.14e-01 7.62e-04h 1\n", - " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.79e-07R 5\n", - " 5r 0.0000000e+00 1.32e+02 3.75e+04 2.2 1.86e+04 - 1.27e-02 3.07e-03f 1\n", - " 6r 0.0000000e+00 1.28e+02 3.56e+04 2.2 1.35e+04 - 7.42e-03 3.03e-04f 1\n", - " 7r 0.0000000e+00 7.48e+01 3.50e+04 2.2 1.11e+04 - 6.42e-03 5.16e-03f 1\n", - " 8r 0.0000000e+00 5.14e+01 2.97e+04 2.2 7.08e+03 - 2.92e-02 3.39e-03f 1\n", - " 9r 0.0000000e+00 1.33e+01 2.04e+04 2.2 2.11e+03 - 7.73e-02 2.15e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.74e+00 1.45e+04 2.2 1.13e+02 - 1.15e-01 6.94e-02f 1\n", - " 11r 0.0000000e+00 3.47e+00 7.13e+03 2.2 8.36e+01 - 2.08e-01 1.14e-01f 1\n", - " 12r 0.0000000e+00 2.35e+00 1.31e+04 1.5 5.38e+01 - 3.99e-01 1.32e-01f 1\n", - " 13r 0.0000000e+00 1.88e+00 1.18e+04 1.5 9.10e+01 - 1.77e-01 1.28e-01f 1\n", - " 14r 0.0000000e+00 1.85e+00 1.01e+04 1.5 7.31e+01 - 2.83e-01 1.66e-01f 1\n", - " 15r 0.0000000e+00 1.23e+00 6.24e+03 1.5 4.28e+01 - 5.37e-01 2.18e-01f 1\n", - " 16r 0.0000000e+00 6.28e-01 3.07e+03 1.5 1.45e+01 - 8.32e-01 4.23e-01f 1\n", - " 17r 0.0000000e+00 2.61e-01 2.91e+03 1.5 1.69e+00 - 8.43e-01 7.18e-01f 1\n", - " 18r 0.0000000e+00 2.58e-01 1.88e+03 1.5 3.06e-01 - 8.34e-01 1.00e+00f 1\n", - " 19r 0.0000000e+00 2.72e-01 3.16e+02 0.8 7.49e-01 - 1.00e+00 8.84e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 2.36e-01 8.39e+02 0.1 3.35e+00 - 6.80e-01 3.83e-01f 1\n", - " 21r 0.0000000e+00 9.43e-02 5.90e+02 0.1 1.29e+01 - 7.25e-01 5.50e-01f 1\n", - " 22r 0.0000000e+00 7.77e-02 5.55e+02 0.1 2.20e+00 - 9.71e-01 6.58e-01f 1\n", - " 23r 0.0000000e+00 7.87e-02 8.57e-02 0.1 7.74e-01 - 1.00e+00 1.00e+00f 1\n", - " 24r 0.0000000e+00 7.66e-02 3.19e+02 -2.0 7.45e-01 - 9.14e-01 7.25e-01f 1\n", - " 25r 0.0000000e+00 5.46e-02 2.79e+03 -2.0 6.26e+01 - 9.06e-01 7.59e-02f 1\n", - " 26r 0.0000000e+00 4.22e-02 3.08e+03 -2.0 3.75e+01 - 9.45e-01 9.31e-02f 1\n", - " 27r 0.0000000e+00 2.85e-02 3.06e+03 -2.0 3.25e+01 - 1.00e+00 1.21e-01f 1\n", - " 28r 0.0000000e+00 9.60e-03 2.44e+03 -2.0 2.20e+01 - 1.00e+00 2.26e-01f 1\n", - " 29r 0.0000000e+00 2.33e-03 1.74e+03 -2.0 5.97e+00 - 1.00e+00 3.44e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.27e-04 3.66e+02 -2.0 8.97e-01 - 1.00e+00 8.16e-01f 1\n", - " 31r 0.0000000e+00 1.45e-05 3.66e-04 -2.0 1.62e-01 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 5.23e-06 1.15e+03 -4.4 5.00e-03 - 1.00e+00 6.43e-01f 1\n", - " 33r 0.0000000e+00 2.60e-06 2.14e+03 -4.4 4.17e-03 - 9.20e-01 5.22e-01f 1\n", - " 34r 0.0000000e+00 4.50e-07 1.93e+02 -4.4 4.28e-04 - 9.19e-01 9.15e-01f 1\n", - " 35r 0.0000000e+00 1.77e-09 2.53e-07 -4.4 6.44e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 35\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.7723200684827134e-09 1.7723200684827134e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.7723200684827134e-09 1.7723200684827134e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 41\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 41\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 37\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 35\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.044\n", - "Total CPU secs in NLP function evaluations = 0.004\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", - " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.87e-02h 1\n", - " 3 0.0000000e+00 1.72e+02 2.95e+03 -1.0 1.72e+02 - 2.14e-01 7.65e-04h 1\n", - " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.81e-07R 5\n", - " 5r 0.0000000e+00 1.32e+02 3.74e+04 2.2 1.86e+04 - 1.27e-02 3.07e-03f 1\n", - " 6r 0.0000000e+00 1.28e+02 3.55e+04 2.2 1.35e+04 - 7.41e-03 2.90e-04f 1\n", - " 7r 0.0000000e+00 7.48e+01 3.49e+04 2.2 1.11e+04 - 6.38e-03 5.17e-03f 1\n", - " 8r 0.0000000e+00 5.17e+01 2.96e+04 2.2 7.10e+03 - 2.88e-02 3.35e-03f 1\n", - " 9r 0.0000000e+00 1.33e+01 1.98e+04 2.2 2.14e+03 - 8.03e-02 2.15e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.74e+00 1.47e+04 2.2 1.13e+02 - 1.09e-01 7.02e-02f 1\n", - " 11r 0.0000000e+00 3.49e+00 7.09e+03 2.2 8.38e+01 - 2.10e-01 1.13e-01f 1\n", - " 12r 0.0000000e+00 2.35e+00 1.32e+04 1.5 5.40e+01 - 4.07e-01 1.34e-01f 1\n", - " 13r 0.0000000e+00 1.88e+00 1.19e+04 1.5 9.11e+01 - 1.74e-01 1.28e-01f 1\n", - " 14r 0.0000000e+00 1.85e+00 1.02e+04 1.5 7.31e+01 - 2.80e-01 1.66e-01f 1\n", - " 15r 0.0000000e+00 1.24e+00 6.28e+03 1.5 4.28e+01 - 5.31e-01 2.16e-01f 1\n", - " 16r 0.0000000e+00 6.27e-01 3.07e+03 1.5 1.47e+01 - 8.32e-01 4.22e-01f 1\n", - " 17r 0.0000000e+00 2.61e-01 2.87e+03 1.5 1.70e+00 - 8.32e-01 7.10e-01f 1\n", - " 18r 0.0000000e+00 2.58e-01 1.83e+03 1.5 3.19e-01 - 8.39e-01 1.00e+00f 1\n", - " 19r 0.0000000e+00 2.72e-01 3.13e+02 0.8 7.48e-01 - 1.00e+00 8.83e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 2.36e-01 8.44e+02 0.1 3.35e+00 - 6.80e-01 3.83e-01f 1\n", - " 21r 0.0000000e+00 9.43e-02 5.94e+02 0.1 1.29e+01 - 7.26e-01 5.50e-01f 1\n", - " 22r 0.0000000e+00 7.76e-02 5.56e+02 0.1 2.20e+00 - 9.71e-01 6.58e-01f 1\n", - " 23r 0.0000000e+00 7.87e-02 8.54e-02 0.1 7.73e-01 - 1.00e+00 1.00e+00f 1\n", - " 24r 0.0000000e+00 7.67e-02 3.18e+02 -2.0 7.45e-01 - 9.13e-01 7.25e-01f 1\n", - " 25r 0.0000000e+00 5.46e-02 2.79e+03 -2.0 6.26e+01 - 9.05e-01 7.60e-02f 1\n", - " 26r 0.0000000e+00 4.22e-02 3.09e+03 -2.0 3.75e+01 - 9.44e-01 9.31e-02f 1\n", - " 27r 0.0000000e+00 2.85e-02 3.06e+03 -2.0 3.25e+01 - 1.00e+00 1.21e-01f 1\n", - " 28r 0.0000000e+00 9.60e-03 2.44e+03 -2.0 2.20e+01 - 1.00e+00 2.26e-01f 1\n", - " 29r 0.0000000e+00 2.32e-03 1.74e+03 -2.0 5.96e+00 - 1.00e+00 3.44e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.26e-04 3.66e+02 -2.0 8.97e-01 - 1.00e+00 8.17e-01f 1\n", - " 31r 0.0000000e+00 1.46e-05 3.64e-04 -2.0 1.61e-01 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 5.21e-06 1.15e+03 -4.4 5.00e-03 - 1.00e+00 6.44e-01f 1\n", - " 33r 0.0000000e+00 2.59e-06 2.13e+03 -4.4 4.15e-03 - 9.21e-01 5.22e-01f 1\n", - " 34r 0.0000000e+00 4.57e-07 2.12e+02 -4.4 4.27e-04 - 9.20e-01 9.12e-01f 1\n", - " 35r 0.0000000e+00 1.77e-09 2.81e-07 -4.4 6.49e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 35\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.7724186562873001e-09 1.7724186562873001e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.7724186562873001e-09 1.7724186562873001e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 41\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 41\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 37\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 35\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.035\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", - " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.92e-02h 1\n", - " 3 0.0000000e+00 1.72e+02 2.92e+03 -1.0 1.72e+02 - 2.15e-01 7.76e-04h 1\n", - " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.88e-07R 5\n", - " 5r 0.0000000e+00 1.32e+02 3.71e+04 2.2 1.86e+04 - 1.26e-02 3.07e-03f 1\n", - " 6r 0.0000000e+00 1.29e+02 3.51e+04 2.2 1.35e+04 - 7.34e-03 2.31e-04f 1\n", - " 7r 0.0000000e+00 7.53e+01 3.46e+04 2.2 1.11e+04 - 6.26e-03 5.17e-03f 1\n", - " 8r 0.0000000e+00 5.27e+01 2.93e+04 2.2 7.19e+03 - 2.78e-02 3.23e-03f 1\n", - " 9r 0.0000000e+00 1.33e+01 1.97e+04 2.2 2.24e+03 - 7.81e-02 2.14e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.74e+00 1.48e+04 2.2 1.14e+02 - 1.06e-01 6.89e-02f 1\n", - " 11r 0.0000000e+00 3.77e+00 7.16e+03 2.2 8.49e+01 - 2.07e-01 9.65e-02f 1\n", - " 12r 0.0000000e+00 2.83e+00 1.43e+04 1.5 5.67e+01 - 3.88e-01 1.01e-01f 1\n", - " 13r 0.0000000e+00 2.28e+00 1.37e+04 1.5 9.72e+01 - 2.28e-01 1.21e-01f 1\n", - " 14r 0.0000000e+00 1.99e+00 1.20e+04 1.5 7.98e+01 - 3.09e-01 1.58e-01f 1\n", - " 15r 0.0000000e+00 1.31e+00 7.77e+03 1.5 4.73e+01 - 5.28e-01 2.40e-01f 1\n", - " 16r 0.0000000e+00 7.14e-01 2.95e+03 1.5 1.58e+01 - 8.38e-01 4.12e-01f 1\n", - " 17r 0.0000000e+00 2.58e-01 2.58e+03 1.5 1.88e+00 - 8.20e-01 7.02e-01f 1\n", - " 18r 0.0000000e+00 2.68e-01 9.79e+02 0.8 1.11e+00 - 1.00e+00 7.06e-01f 1\n", - " 19r 0.0000000e+00 2.15e-01 1.37e+03 0.8 3.80e+00 - 8.04e-01 4.82e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 1.41e-01 1.85e+00 0.8 2.53e+00 - 1.00e+00 1.00e+00f 1\n", - " 21r 0.0000000e+00 1.48e-01 3.11e+02 -1.3 7.37e-01 - 9.24e-01 7.21e-01f 1\n", - " 22r 0.0000000e+00 9.59e-02 4.22e+02 -1.3 7.88e+01 - 1.00e-01 4.97e-02f 1\n", - " 23r 0.0000000e+00 9.59e-02 1.67e+03 -1.3 3.40e+01 - 4.33e-01 2.17e-03f 1\n", - " 24r 0.0000000e+00 5.83e-02 2.69e+03 -1.3 2.66e+01 - 9.43e-01 2.14e-01f 1\n", - " 25r 0.0000000e+00 4.58e-02 2.52e+03 -1.3 1.43e+01 - 1.00e+00 2.06e-01f 1\n", - " 26r 0.0000000e+00 2.87e-02 1.49e+03 -1.3 1.10e+01 - 1.00e+00 4.53e-01f 1\n", - " 27r 0.0000000e+00 1.85e-02 9.90e+02 -1.3 5.65e+00 - 1.00e+00 4.97e-01f 1\n", - " 28r 0.0000000e+00 9.17e-03 1.46e+02 -1.3 2.75e+00 - 1.00e+00 9.16e-01f 1\n", - " 29r 0.0000000e+00 8.40e-03 5.89e-04 -1.3 4.88e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 8.09e-03 4.25e+02 -2.9 4.17e-01 - 1.00e+00 7.57e-01f 1\n", - " 31r 0.0000000e+00 7.29e-04 3.39e+03 -2.9 9.81e+01 - 9.94e-01 1.99e-02f 1\n", - " 32r 0.0000000e+00 7.03e-04 3.95e+03 -2.9 2.03e-01 - 1.00e+00 3.27e-02f 1\n", - " 33r 0.0000000e+00 3.13e-05 1.86e+02 -2.9 1.85e-01 - 1.00e+00 9.56e-01f 1\n", - " 34r 0.0000000e+00 3.83e-07 2.06e-05 -2.9 8.16e-03 - 1.00e+00 1.00e+00f 1\n", - " 35r 0.0000000e+00 1.77e-07 9.95e+01 -6.6 1.43e-04 - 1.00e+00 9.30e-01f 1\n", - " 36r 0.0000000e+00 2.82e-08 2.45e+01 -6.6 2.03e-05 - 9.85e-01 8.43e-01f 1\n", - " 37r 0.0000000e+00 4.45e-11 1.96e-09 -6.6 7.03e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 37\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 4.4515502395370277e-11 4.4515502395370277e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 4.4515502395370277e-11 4.4515502395370277e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 43\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 43\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 39\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 37\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.049\n", - "Total CPU secs in NLP function evaluations = 0.005\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.59e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.81e+02 2.51e+01 -1.0 2.59e+02 - 1.13e-02 3.00e-01f 1\n", - " 2 0.0000000e+00 1.72e+02 2.39e+01 -1.0 1.81e+02 - 1.33e-01 4.87e-02h 1\n", - " 3 0.0000000e+00 1.72e+02 2.96e+03 -1.0 1.72e+02 - 2.15e-01 7.65e-04h 1\n", - " 4r 0.0000000e+00 1.72e+02 1.00e+03 2.2 0.00e+00 - 0.00e+00 4.81e-07R 5\n", - " 5r 0.0000000e+00 1.32e+02 3.75e+04 2.2 1.86e+04 - 1.27e-02 3.07e-03f 1\n", - " 6r 0.0000000e+00 1.29e+02 3.56e+04 2.2 1.35e+04 - 7.38e-03 2.63e-04f 1\n", - " 7r 0.0000000e+00 7.51e+01 3.50e+04 2.2 1.11e+04 - 6.37e-03 5.17e-03f 1\n", - " 8r 0.0000000e+00 5.20e+01 2.97e+04 2.2 7.13e+03 - 2.85e-02 3.32e-03f 1\n", - " 9r 0.0000000e+00 1.33e+01 1.97e+04 2.2 2.17e+03 - 8.13e-02 2.14e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.77e+00 1.50e+04 2.2 1.13e+02 - 1.05e-01 7.01e-02f 1\n", - " 11r 0.0000000e+00 3.67e+00 7.04e+03 2.2 8.41e+01 - 2.09e-01 1.03e-01f 1\n", - " 12r 0.0000000e+00 2.71e+00 1.41e+04 1.5 5.54e+01 - 3.96e-01 1.07e-01f 1\n", - " 13r 0.0000000e+00 2.17e+00 1.34e+04 1.5 9.54e+01 - 2.38e-01 1.24e-01f 1\n", - " 14r 0.0000000e+00 1.97e+00 1.14e+04 1.5 7.75e+01 - 3.13e-01 1.72e-01f 1\n", - " 15r 0.0000000e+00 1.26e+00 6.84e+03 1.5 4.37e+01 - 5.77e-01 2.33e-01f 1\n", - " 16r 0.0000000e+00 6.58e-01 2.95e+03 1.5 1.38e+01 - 8.57e-01 4.39e-01f 1\n", - " 17r 0.0000000e+00 2.59e-01 3.12e+03 1.5 1.70e+00 - 8.29e-01 6.96e-01f 1\n", - " 18r 0.0000000e+00 2.56e-01 1.61e+03 1.5 3.65e-01 - 8.55e-01 1.00e+00f 1\n", - " 19r 0.0000000e+00 2.70e-01 2.89e+02 0.8 7.49e-01 - 1.00e+00 8.82e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 2.34e-01 8.40e+02 0.1 3.36e+00 - 6.78e-01 3.83e-01f 1\n", - " 21r 0.0000000e+00 9.46e-02 6.08e+02 0.1 1.29e+01 - 7.27e-01 5.44e-01f 1\n", - " 22r 0.0000000e+00 7.76e-02 5.24e+02 0.1 2.24e+00 - 9.47e-01 6.57e-01f 1\n", - " 23r 0.0000000e+00 7.92e-02 8.80e-02 0.1 7.84e-01 - 1.00e+00 1.00e+00f 1\n", - " 24r 0.0000000e+00 7.69e-02 2.99e+02 -2.0 7.51e-01 - 9.00e-01 7.23e-01f 1\n", - " 25r 0.0000000e+00 5.50e-02 2.78e+03 -2.0 6.21e+01 - 9.06e-01 7.61e-02f 1\n", - " 26r 0.0000000e+00 4.21e-02 3.07e+03 -2.0 3.77e+01 - 9.33e-01 9.70e-02f 1\n", - " 27r 0.0000000e+00 2.91e-02 3.06e+03 -2.0 3.23e+01 - 1.00e+00 1.16e-01f 1\n", - " 28r 0.0000000e+00 9.71e-03 2.42e+03 -2.0 2.13e+01 - 1.00e+00 2.34e-01f 1\n", - " 29r 0.0000000e+00 2.20e-03 1.62e+03 -2.0 5.81e+00 - 1.00e+00 3.83e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.35e-04 2.91e+02 -2.0 8.91e-01 - 1.00e+00 8.48e-01f 1\n", - " 31r 0.0000000e+00 1.46e-05 2.64e-04 -2.0 1.33e-01 - 1.00e+00 1.00e+00f 1\n", - " 32r 0.0000000e+00 4.98e-06 1.01e+03 -4.4 4.96e-03 - 1.00e+00 6.62e-01f 1\n", - " 33r 0.0000000e+00 2.44e-06 2.22e+03 -4.4 3.91e-03 - 9.25e-01 5.20e-01f 1\n", - " 34r 0.0000000e+00 4.07e-07 1.47e+02 -4.4 4.01e-04 - 9.19e-01 9.25e-01f 1\n", - " 35r 0.0000000e+00 1.89e-09 1.73e-07 -4.4 5.56e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 35\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.8920998101634723e-09 1.8920998101634723e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.8920998101634723e-09 1.8920998101634723e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 41\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 41\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 37\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 35\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.036\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Existed information has been added.\n", - "FIM: [[ 71.92588336 19.805131 -188.4909917 -77.87094771]\n", - " [ 19.805131 70.81391302 -40.24881712 -338.30206668]\n", - " [-188.4909917 -40.24881712 523.93642915 168.75748456]\n", - " [ -77.87094771 -338.30206668 168.75748456 1733.5847453 ]]\n", - "Trace: 2400.26097082489\n", - "Determinant: 12732530.31692039\n", - "Condition number: 870.9891077602566\n", - "Minimal eigen value: 2.1001471502491094\n", - "Eigen values: [1829.20529256 563.06925363 2.10014715 5.88627748]\n", - "Eigen vectors: [[ 0.06013259 -0.3324732 -0.75242864 0.56541736]\n", - " [ 0.19046431 0.01496935 0.59516553 0.78056214]\n", - " [-0.13994237 0.93066786 -0.26075907 0.21512361]\n", - " [-0.96980593 -0.1519698 0.1078603 0.15731429]]\n" - ] - } - ], - "source": [ - "\n", - "exp_all = [exp1, exp2, exp3, exp4, exp5]\n", - "\n", - "\n", - "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", - " ['CA','CB','CC'], t_measure, createmod,\n", - " prior_FIM=prior_pass, discretize_model=disc)\n", - "\n", - "# choose from 'simultaneous', 'sequential', 'sipopt'\n", - "#sensi_opt = 'simultaneous_finite'\n", - "sensi_opt = 'sequential_finite'\n", - "#sensi_opt = 'sequential_sipopt'\n", - "if_s = True\n", - "result = doe_object.sequential_exp(exp_all, mode=sensi_opt, tee_option=True,\n", - " scale_nominal_param_value=if_s, formula='central')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "4939f5c1", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "=======Result summary=======\n", - "The 1 th experiment has optimality log10() values:\n", - "A-optimality: 3.29689373129363\n", - "D-optimality: 5.749123827110235\n", - "E-optimality: -0.29964150858495253\n", - "Modified E-optimality: 3.4698543224317957\n", - "The 2 th experiment has optimality log10() values:\n", - "A-optimality: 3.327246742969606\n", - "D-optimality: 6.350625457960553\n", - "E-optimality: -0.013857523926267818\n", - "Modified E-optimality: 3.2179519402375574\n", - "The 3 th experiment has optimality log10() values:\n", - "A-optimality: 3.348792387089486\n", - "D-optimality: 6.690041312590909\n", - "E-optimality: 0.1406932135450932\n", - "Modified E-optimality: 3.087166444109095\n", - "The 4 th experiment has optimality log10() values:\n", - "A-optimality: 3.3659365095541167\n", - "D-optimality: 6.925560558536682\n", - "E-optimality: 0.24481023207384423\n", - "Modified E-optimality: 3.001834323221942\n", - "The 5 th experiment has optimality log10() values:\n", - "A-optimality: 3.3802584633897554\n", - "D-optimality: 7.104914718930726\n", - "E-optimality: 0.3222497253540566\n", - "Modified E-optimality: 2.9400127239293687\n" - ] - } - ], - "source": [ - "print('=======Result summary=======')\n", - "for i in range(len(exp_all)):\n", - " print('The ', i+1,'th experiment has optimality log10() values:')\n", - " print('A-optimality:', np.log10(result[0][i].trace))\n", - " print('D-optimality:', np.log10(result[0][i].det))\n", - " print('E-optimality:', np.log10(result[0][i].min_eig))\n", - " print('Modified E-optimality:', np.log10(result[0][i].cond))" - ] - }, - { - "cell_type": "markdown", - "id": "b0757b02", - "metadata": {}, - "source": [ - "### Run 1D analysis\n", - "\n", - "Run 1D sensitivity analysis with one changing design variable\n", - "\n", - "Note: this method can only deal with constant T problems" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "270e807a", - "metadata": {}, - "outputs": [], - "source": [ - "# Define experiments\n", - "if (model_opt=='dynamic-DAE'):\n", - " exp1 = generate_exp(t_control, 5, [570.21, 300, 300, 300, 300, 300, 300, 300, 300])\n", - "else: \n", - " exp1 = generate_exp(t_control, 5, [500])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "5fb1c31e", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Sensitivity analysis is for ['T'] at the range [[688, 690]]\n", - "At the points: [688. 688.4 688.8 689.2 689.6]\n", - "This is the 0 -th iteration\n", - "Design variables for this run: {'CA0': {0: 5}, 'T': {0: 688.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.70606767644534\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.34601640562437\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.769254995998401\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.032088002363322\n", - "Existed information has been added.\n", - "FIM: [[ 31.21368895 7.04904619 -85.18284907 -28.32864438]\n", - " [ 7.04904619 28.46627663 -14.64311461 -144.65058132]\n", - " [ -85.18284907 -14.64311461 245.14786717 64.61686281]\n", - " [ -28.32864438 -144.65058132 64.61686281 781.48834276]]\n", - "Trace: 1086.31617550362\n", - "Determinant: 344150.18385004054\n", - "Condition number: 1194.5425566602246\n", - "Minimal eigen value: 0.6847260300682263\n", - "Eigen values: [8.17934383e+02 2.65381582e+02 6.84726030e-01 2.31548475e+00]\n", - "Eigen vectors: [[ 0.04992629 -0.32442702 -0.71053392 0.62241145]\n", - " [ 0.18127243 0.01274612 0.65185494 0.73624926]\n", - " [-0.12200034 0.93663849 -0.23887016 0.22531158]\n", - " [-0.97455815 -0.1315028 0.11475072 0.14062609]]\n", - "This is the 1 -th iteration\n", - "Design variables for this run: {'CA0': {0: 5}, 'T': {0: 688.4}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.70606767644534\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.34601640562437\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.769254995998401\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.032088002363322\n", - "Existed information has been added.\n", - "FIM: [[ 31.2087357 7.04512838 -85.17411652 -28.31584345]\n", - " [ 7.04512838 28.45878231 -14.63649852 -144.62773545]\n", - " [ -85.17411652 -14.63649852 245.13327957 64.59606895]\n", - " [ -28.31584345 -144.62773545 64.59606895 781.42001285]]\n", - "Trace: 1086.2208104402205\n", - "Determinant: 343688.1456424509\n", - "Condition number: 1195.148087968523\n", - "Minimal eigen value: 0.6843120834343386\n", - "Eigen values: [8.17854278e+02 2.65368101e+02 6.84312083e-01 2.31411905e+00]\n", - "Eigen vectors: [[ 0.04991022 -0.32441777 -0.71040868 0.62256051]\n", - " [ 0.18126017 0.01274626 0.65200538 0.73611906]\n", - " [-0.12197407 0.93664602 -0.23882033 0.22534731]\n", - " [-0.97456454 -0.13147195 0.1147752 0.14059066]]\n", - "This is the 2 -th iteration\n", - "Design variables for this run: {'CA0': {0: 5}, 'T': {0: 688.8}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.70606767644534\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.34601640562437\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.769254995998401\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.032088002363322\n", - "Existed information has been added.\n", - "FIM: [[ 31.20378811 7.04121278 -85.16540174 -28.30306309]\n", - " [ 7.04121278 28.45130667 -14.62989306 -144.60496513]\n", - " [ -85.16540174 -14.62989306 245.118733 64.57532708]\n", - " [ -28.30306309 -144.60496513 64.57532708 781.35196066]]\n", - "Trace: 1086.1257884290285\n", - "Determinant: 343226.77057624975\n", - "Condition number: 1195.7529423283\n", - "Minimal eigen value: 0.6838992009254474\n", - "Eigen values: [8.17774482e+02 2.65354657e+02 6.83899201e-01 2.31275053e+00]\n", - "Eigen vectors: [[ 0.04989416 -0.32440853 -0.71028366 0.62270924]\n", - " [ 0.18124793 0.01274642 0.65215547 0.7359891 ]\n", - " [-0.12194784 0.93665355 -0.2387706 0.22538292]\n", - " [-0.97457092 -0.13144113 0.11479963 0.14055529]]\n", - "This is the 3 -th iteration\n", - "Design variables for this run: {'CA0': {0: 5}, 'T': {0: 689.1999999999999}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.70606767644534\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.34601640562437\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.769254995998401\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.032088002363322\n", - "Existed information has been added.\n", - "FIM: [[ 31.19884612 7.03729937 -85.15670469 -28.29030334]\n", - " [ 7.03729937 28.44384968 -14.62329825 -144.58227022]\n", - " [ -85.15670469 -14.62329825 245.10422737 64.55463727]\n", - " [ -28.29030334 -144.58227022 64.55463727 781.28418547]]\n", - "Trace: 1086.0311086350534\n", - "Determinant: 342766.0553001355\n", - "Condition number: 1196.357114309498\n", - "Minimal eigen value: 0.683487382734939\n", - "Eigen values: [8.17694993e+02 2.65341249e+02 6.83487383e-01 2.31137918e+00]\n", - "Eigen vectors: [[ 0.04987811 -0.32439929 -0.71015889 0.62285762]\n", - " [ 0.18123572 0.0127466 0.65230521 0.7358594 ]\n", - " [-0.12192164 0.93666106 -0.23872099 0.22541841]\n", - " [-0.97457729 -0.13141034 0.11482401 0.14051999]]\n", - "This is the 4 -th iteration\n", - "Design variables for this run: {'CA0': {0: 5}, 'T': {0: 689.5999999999999}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.70606767644534\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.34601640562437\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.769254995998401\n", - "E2_pert : 15.047135137500822\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.032088002363322\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 31.19390974 7.03338821 -85.14802534 -28.27756427]\n", - " [ 7.03338821 28.43641135 -14.61671413 -144.5596506 ]\n", - " [ -85.14802534 -14.61671413 245.08976257 64.5339995 ]\n", - " [ -28.27756427 -144.5596506 64.5339995 781.21668649]]\n", - "Trace: 1085.9367701574088\n", - "Determinant: 342306.00259180367\n", - "Condition number: 1196.9605977351102\n", - "Minimal eigen value: 0.683076629406871\n", - "Eigen values: [8.17615811e+02 2.65327878e+02 6.83076629e-01 2.31000502e+00]\n", - "Eigen vectors: [[ 0.04986207 -0.32439006 -0.71003437 0.62300567]\n", - " [ 0.18122354 0.0127468 0.65245458 0.73572995]\n", - " [-0.12189547 0.93666857 -0.23867148 0.22545378]\n", - " [-0.97458365 -0.13137958 0.11484834 0.14048475]]\n", - "The result list: [1194.5425566602246, 1195.148087968523, 1195.7529423283, 1196.357114309498, 1196.9605977351102]\n" - ] - } - ], + "outputs": [], "source": [ + "\n", + "exp_all = [exp1, exp2, exp3, exp4, exp5]\n", + "\n", + "\n", "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", " prior_FIM=prior_pass, discretize_model=disc)\n", "\n", "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", - "#sensi_opt = 'sequential_finite'\n", - "sensi_opt = 'sequential_sipopt'\n", + "sensi_opt = 'sequential_finite'\n", + "#sensi_opt = 'sequential_sipopt'\n", "if_s = True\n", - "result = doe_object.sensitivity_analysis_1D(exp1, {'T':[688,690]}, sensitivity_step=0.4, compare_opt='ME',\n", - " mode=sensi_opt, tee_option=False,\n", + "result = doe_object.sequential_exp(exp_all, mode=sensi_opt, tee_option=True,\n", " scale_nominal_param_value=if_s, formula='central')" ] }, { "cell_type": "code", - "execution_count": 16, - "id": "574f1669", + "execution_count": null, + "id": "4939f5c1", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "=======Result summary=======\n", - "The biggest criterion value is: 1196.9605977351102 at: 689.5999999999999\n", - "The smallest criterion value is: 1194.5425566602246 at: 688.0\n" - ] - }, - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'Design criteria')" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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dSIWiKSonBPfjSg1z4PQDzWRmE4ELgM3u3i8YdhlwH9AbGOLuWcHwOsDTQAgIAz939w9LjXsCGBaMu9PdM8t5vduJtJMpAX7m7vqCpsgR+Hr1N4zJzGbxpp1cfEw77r6gDy0a1kl0LEly0ZxSfNphLvt5IsXgxVLD5gGXECkgpV0fvFZ/M0sH3jazwe4eBu4kUph6mFkNoEXZFzKzPsAVRPqTtQVmmlkPdy85zOwi1dbufcX89t3FTPx0Ba2b1OO5HwzmtF7piY4lKSKahpJHAQ8Abd393OAP+PHu/ucDzefuH5tZRplhC4Jllp28D/BeMM1mM8snstXyJXAt0CsYFwa2lPNyI4FX3X0vsMLMlgJDgM8O9v5E5D8+XbqFsZOzWbNtD1cf15Ex5/SicT01gJToRfOV1+eJ9PpqGzxfDPwixjnmAiPNrJaZdQYGAR3MrFkw/n4z+8rMXguKXFntgDWlnq8Nhv0XM7vBzLLMLCsvLy+Gb0EkdW3fU8TYzGyuevYLatWowd9uOI7xF/VXQZFDFk1RaeXufydyPAN3LyZy3CKWJhIpBFnAY8AsoJjIllR74FN3P5bIlsdvypm/vKOGXt4LufsEdw+5eygtLS0G0UVS27u5Gznrdx/x2uy13HhqV97++ckM7dIy0bEkRUVzoH6XmbUk+CNtZscB22MZIihUN+9/bmazgCXAVmA3MCUY9RqRg/FlrQU6lHreHlgfy4wiVU1ewV7ueyOX6dkb6N2mCX/+/mD6t2+a6FiS4qIpKrcQaSTZ1cw+BdKAy2IZwswaAObuu8zsLKDY3ecH494gcubX+8AZwPxyFvE68LKZ/Y7IbrruRI7HiEgZ7s6Ur9cx7s357N5bwv+d3YMfndqV2jXVAFKOXDRFJRc4FehJZDfTIqLYbWZmrxApBq3MbC1wL7ANeJxIYZpuZnPcfTiQDswwszCwDhhdalFjgL+Y2WNAHnBNsPwRQMjd73H3XDP7O5GCUwzcpDO/RP7buvw93Dklhw8X5XFsx2Y8fOkAuqWrE5PEjrmXe+jhPxOYfRUczzjgsFQUCoU8Kysr0TFE4i4cdl76YhUPvr0QB24b3pPRx2eoAaQcFjOb7e6h8sYdqEtxayJnUNU3s2P4z8HwJkCDmKcUkbhYlreT2zNz+HLlNk7u3ooHLu5Phxb6FZb4ONDur+HAD4gc9C7d5r4AuCOOmUQkBopLwkz4ZDmPzVxCvVo1eOTSAVw6qL1arEhcHahL8QvAC2Y2qry2KCKSvHLXb2dMZjbz1u3g3H6t+eXIvqQ3VgNIib+DXqQLyCjvQl26SJdI8iksKuHx95fw1EfLad6gDn+66ljO7d8m0bGkGonmIl2NKiOIiByZrJXbuC0zm+V5u7h0UHvuOr83zRqoAaRULl2kSyTF7dpbzCMzFvHCZytp27Q+L147hFN6qFuEJIYu0iWSwj5anMcdk3NYv30P3z8+g1uH96Rh3Wi+fiYSH7pIl0gKyt+9j/vfXEDmV2vpmtaQ1350PKGM/7oqhEili9tFukQkPt7K2cA90+aRv7uIn57WjZ+e3o16tWsmOpYIEN+LdIlIDG3eUcg903J5J3cj/do14YVrh9C3rRpASnKJ5iJdDwAPu3t+8Lw58L/uflecs4kIkQaQr81ey/g357O3OMzYc3tx3UmdqaUGkJKEotn9da67//sb9O7+jZmdB6ioiMTZmm27uX1yDv9cuoUhGS14cFR/uqTpLH9JXtEUlZpmVje4VC9mVh+oG99YItVbSdh58bOVPPzOImoY3H9RP64a0pEaagApSS6aovJX4D0ze47IAfprgRfimkqkGluyqYAxmdl8tTqfYT3T+NXF/WnXrH6iY4lEJZoD9Q+bWTZwJpFOxfe7+4y4JxOpZopKwjz14TIef38pDerW5NHLj+aige3UAFJSSlTfknL3d4B34pxFpNrKWbudWyfNZeHGAi4Y0Ib7RvSlVSPtZZbUo6/eiiRQYVEJj81cwjOfLKdlwzpMGD2Is/u2TnQskcOmoiKSIF8s38rYyTms2LKLKwZ34PbzetO0fu1ExxI5IioqIpWsoLCIh99ZxF8+X0WHFvV56bqhnNitVaJjicRENF9+PBG4D+gUTG+Au3uX+EYTqXo+WLSZOyfnsGFHIT88qTP/e3YPGtTR/3ZSdUSzNv8ZuBmYDZTEN45I1fTNrn3c/+Z8Jn+9ju7pjcj88Qkc27F5omOJxFw0RWW7u78d9yQiVZC7Mz1nA/dOy2X7niJ+dkZ3bjqtK3VrqQGkVE3RFJUPzOwRYDKwd/9Atb4XObBNOwq5e+o83p2/iQHtm/LX64bSu02TRMcSiatoisrQ4D5Uapha34tUwN35e9Yaxk9fwL7iMHec14trT1QDSKke1PpeJIZWb93N7VOy+XTpVoZ2bsFDowaQ0aphomOJVJpozv66pZzB24HZ7j4n5olEUlBJ2Hl+1kp+M2MRNWsYv7q4H1cOVgNIqX6i2f0VCm5vBM/PB/4F3Ghmr7n7w/EKJ5IKlmwq4LbMbL5enc9pQQPItmoAKdVUNEWlJXCsu+8EMLN7gUnAKUROM1ZRkWppX3GYpz5axhPvL6Vh3Zo8dvlARg5sqwaQUq1FU1Q6AvtKPS8COrn7HjPbW8E8IlVa9tp8bpuUzcKNBVx4dFvuvbCPGkCKEF1ReRn43MymBc8vBF4xs4bA/LglE0lChUUlPPqPxTzzyXLSGtflme+FOKvPUYmOJZI0ojn7634zews4iUiLlhvdPSsYfVU8w4kkk8+Xb2VsZjYrt+7myiEdGHuuGkCKlFVhUTGzJu6+w8xaACuC2/5xLdx924EWbGYTgQuAze7eLxh2GZE+Yr2BIfuLk5nVAZ4mckJAGPi5u38YjPsQaAPsCRZ9trtvLvNaGcACYFEw6HN3v/Eg710kKgWFRTz49kJe+mI1HVs04OXrhnKCGkCKlOtAWyovEykKs4l82XE/C54frKHk88ATwIulhs0DLiFSQEq7HsDd+5tZOvC2mQ1293Aw/qpSW0cVWebuAw8yjcgh+WDhZu6YksOmHYVcd1JnblEDSJEDqvC3w90vCO47H86C3f3jYAui9LAFQHlnx/QB3gum2Wxm+US2Wr48nNcWOVLbdu1j3Bu5TJ2znu7pjXjyxydwjBpAihzUQftGmNmJwUF5zOxqM/udmXWMcY65wEgzq2VmnYFBQIdS458zszlmdrdVfL5mZzP72sw+MrOTY5xPqgl354256znrdx/xZvYGfn5Gd9782UkqKCJRimY7/k/A0WZ2NHAbkVb4fwFOjWGOiUSOs2QBq4BZQHEw7ip3X2dmjYFMYDTf3qUGsAHo6O5bzWwQMNXM+rr7jrIvZGY3ADcAdOwY69ooqWzTjkLunDKPmQsiDSBfun4ovVqrAaTIoYimqBS7u5vZSOD37v5nM/t+LEO4ezGRa7YAYGazgCXBuHXBfYGZvQwMoUxRcfe9BB2U3X22mS0DehApUmVfawIwASAUCnnZ8VL9lG0Aeed5vbnmxAw1gBQ5DNEUlQIzu53IFsLJZlYTiOl5lGbWADB332VmZxEpZPPNrBbQzN23mFltIicOzCxn/jRgm7uXmFkXoDuwPJYZpWpavXU3YydnM2uZGkCKxEI0ReVy4LvAte6+MTie8sjBZjKzV4BhQCszWwvcC2wDHgfSgOlmNsfdhwPpwAwzCwPriBQwgLrB8NpATSIF5Zlg+SOAkLvfQ6RlzDgzKyZydcobD3bKs1RvZRtAPnBxf64Y3EENIEWOkLkffA+QmXUCurv7zGCroqa7F8Q9XZyFQiHPyjrYmcpS1SzeVMBtk7KZsyaf03ul86uL+9GmqRpAikTLzGa7e6i8cdG0vr+eyIHtFkBXoB3wFHBGLEOKxNv+BpCPv7+ExvVq8/srBjLiaDWAFImlaHZ/3UTk4PgXAO6+JPiCokjKmLsmnzGZkQaQI4IGkC3VAFIk5qIpKnvdfd/+/+aCg+c6a0pSwp59JTw2M9IAMr1xPZ79Xogz1QBSJG6iKSofmdkdQP3gzKyf8J8LdokkrW83gOzI7ef1okk9NYAUiadoispY4IdADvAj4C3g2XiGEjkSpRtAdmrZgJevH8oJXdUAUqQyRNP6PmxmU4Gp7p4X/0gih+/9hZu4c8q8fzeA/N+ze1K/Ts1ExxKpNg7U+t6IfLfkp0Q6E5uZlQCPu/u4SsonEpXSDSB7HNWIJ69SA0iRRDjQlsovgBOBwe6+AiD4tvqfzOxmd3+0EvKJHJC780b2Bu57PZeCwiJ+fkZ3bjqtG3VqqcWKSCIcqKh8DzjL3bfsH+Duy83sauBdQEVFEmrj9kLumhppAHl0+6Y8dKkaQIok2oGKSu3SBWU/d88L2qaIJIS78+q/1vDA9AUUhSMNIK89qTM11WJFJOEOVFT2HeY4kbhZtXUXYzNz+Gz5Vo7r0oIHL1EDSJFkcqCicrSZ/df1SIgctK8Xpzwi5SoJO899uoLfvLuI2jVqqAGkSJI60OWEdR6mJIVFGwu4LTObuWvyOaNXOuPVAFIkaUXz5UeRhNhXHObJD5fyxw+WqgGkSIpQUZGkNHdNPrdNymbRpgJGDmzLPReoAaRIKlBRkaSyZ18Jv/vHIv78zxVqACmSglRUJGl8tmwrt0+ONID87tCOjD1XDSBFUo2KiiTcjqAB5MtqACmS8lRUJKHeX7iJOybPY3NBITec0oWbz+yhBpAiKUxFRRJi6869jHtzPtPmrKfnUY15avQgBnZoluhYInKEVFSkUpVtAHnzmT348bCuagApUkWoqEiliTSAzGHmgs0c3aEZD48aQM/WjRMdS0RiSEVF4q5sA8i7zu/NNSeqAaRIVaSiInFVugHk8V1a8uCo/nRqqQaQIlWViorERdkGkL++JNIAUi1WRKo2FRWJudINIM/snc74i/rTuqkaW4tUByoqEjNlG0D+4cpjuHBAG22diFQjKioSE3PX5DMmM5uFG9UAUqQ6U1GRI7JnXwmPzlzMs58sVwNIEVFRkcP3+fKtjM2MNIC8ckhHbj9PDSBFqjsVFTlkBUEDyJe+WE3HFmoAKSL/oaIih+SDhZu5Y0oOm3YUct1Jnfnfs3uqAaSI/FvcGi6Z2UQz22xm80oNu8zMcs0sbGahUsPrmNlzZpZjZnPNbFipcR+a2SIzmxPc0it4vdvNbGkw7fB4va/qatuuffzi1a+55vl/0bheLTJ/fAJ3XdBHBUVEviWeWyrPA08AL5YaNg+4BHi6zLTXA7h7/6BovG1mg909HIy/yt2zKnohM+sDXAH0BdoCM82sh7uXxOSdVGPuzvScDdw7LZfte4r4+Rnd+clpXalbS8VERP5b3IqKu39sZhllhi0AyvveQh/gvWCazWaWD4SAL6N8uZHAq+6+F1hhZkuBIcBnh5tfYNOOQu6aOo9/zN/EgPZNeen6ofRq3STRsUQkiSXLMZW5wEgzexXoAAwK7vcXlefMrATIBMa7u5eZvx3weanna4Nhchjcnb9nrWH89AXsKw5zx3m9uPbEztSqqfb0InJgyVJUJgK9gSxgFTALKA7GXeXu68ysMZGiMppv71IDKO8r22ULT2RCsxuAGwA6dux45MmrmDXbdjN2cjafLt3KkM4teGjUADq3UgNIEYlOUhQVdy8Gbt7/3MxmAUuCceuC+wIze5nIbq2yRWUtkS2b/doD6yt4rQnABIBQKFRu4amOSsLOC7NW8siMRdSsYYy/qB/fHdKRGmpPLyKHICmKipk1AMzdd5nZWUCxu883s1pAM3ffYma1gQuAmeUs4nXgZTP7HZED9d2J/nhMtbd0cwG3Tcrmq9X5nNYzjV9d3J+2zeonOpaIpKC4FRUzewUYBrQys7XAvcA24HEgDZhuZnPcfTiQDswwszCwjsguLoC6wfDaQE0iBeWZYPkjgJC73+PuuWb2d2A+kd1mN+nMr4MrKgnz9EfL+MN7S2lYtyaPXT6QkQPbqgGkiBw2++9j3tVHKBTyrKwKz1Su0nLWbufWSXNZuLGA8we04Zcj+tJKDSBFJApmNtvdQ+WNS4rdX1J5CotKeGzmEp75ZDktG9bh6dGDGN63daJjiUgVoaJSjXy5YhtjM7NZvmUXl4c6cMf5vWlaXw0gRSR2VFSqgZ17i3no7YX85fNVtG9en7/+cCgndVcDSBGJPRWVKu7DRZu5c8o81m/fwzUnZnDr8J40qKMfu4jEh/66VFH5u/cx7s35TP5qHd3SGzHpxhMY1Kl5omOJSBWnolIFvZWzgXumzSN/dxH/c3o3fnp6NzWAFJFKoaJShWzeUcg903J5J3cj/do14YVrh9C3bdNExxKRakRFpQpwdybNXsv9b86nsDjMmHN6cf3JagApIpVPRSXFrdm2mzum5PDJki0MzmjOg6MG0DWtUaJjiUg1paKSosJh58XPVvLwjEUYMG5kX64e2kkNIEUkoVRUUtCyvJ2MmZRN1qpvOKVHGg9c3I/2zRskOpaIiIpKKikqCTPh4+X8/r0l1K9dk99edjSXHNtODSBFJGmoqKSIeeu2MyYzm9z1Ozivf2vuG9GX9Mb1Eh1LRORbVFSSXGFRCY+/v4SnPlpO8wZ1eOrqYzmnX5tExxIRKZeKShKbvWobt03KZlneLi4d1J67zu9NswZ1Eh1LRKRCKipJaNfeYh6ZsYgXPltJ26b1eeHaIZzaIy3RsUREDkpFJcl8siSPsZk5rN++h+8d14lbz+lFo7r6MYlIatBfqySxfXcR46fP57XZa+mS1pC//+h4Bme0SHQsEZFDoqKSBN6Zt5G7p81j2659/GRYV352Rnfq1VYDSBFJPSoqCZRXsJd7X5/HWzkb6dOmCc/9YDD92qkBpIikLhWVBHB3Jn+1jnFvzmfPvhJuHd6TG07pQm01gBSRFKeiUsnW5e/hjsk5fLQ4j0GdmvPQqAF0S1cDSBGpGlRUKkk47Lz0xSoefHshDtx3YR9GH59BTTWAFJEqREWlEizP28nYzBy+XLmNk7q14teX9KdDCzWAFJGqR0UljopLwjz7zxU8+o/F1K1Vg4cvHcBlg9qrAaSIVFkqKnEyf/0OxmRmk7NuO2f3OYrxF/UjvYkaQIpI1aaiEmN7i0t44v2l/OnDZTRrUJs/fvdYzuvfWlsnIlItqKjE0Ferv+G2Sdks3byTS45px90X9KF5QzWAFJHqQ0UlBnbvK+Y3Mxbz3KwVtGlSj+euGcxpPdMTHUtEpNKpqByhT5duYezkbNZs28PVx3VkzDm9aFyvdqJjiYgkhIrKYdq+p4hfv7WAV/+1hs6tGvK3G45jaJeWiY4lIpJQKiqHIXttPte/mEVewV5+dGoXbj6zhxpAiogAcWs2ZWYTzWyzmc0rNewyM8s1s7CZhUoNr2Nmz5lZjpnNNbNh5Szv9dLLKjMuw8z2mNmc4PZUPN7Tfh1bNKDHUY2ZetOJ3H5ubxUUEZFAPLdUngeeAF4sNWwecAnwdJlprwdw9/5mlg68bWaD3T0MYGaXADsP8nrL3H1gDHIfVLMGdfjLD4dWxkuJiKSUuG2puPvHwLYywxa4+6JyJu8DvBdMsxnIB0IAZtYIuAUYH6+sIiISG8nSa30uMNLMaplZZ2AQ0CEYdz/wW2D3QZbR2cy+NrOPzOzkiiYysxvMLMvMsvLy8mISXkREIpKlqEwE1gJZwGPALKDYzAYC3dx9ykHm3wB0dPdjiGzVvGxmTcqb0N0nuHvI3UNpaWmxyi8iIiTJ2V/uXgzcvP+5mc0ClgCnAoPMbCWRrOlm9qG7Dysz/15gb/B4tpktA3oQKVIiIlJJkmJLxcwamFnD4PFZQLG7z3f3P7l7W3fPAE4CFpctKME8aWZWM3jcBegOLK+0NyAiIkAct1TM7BVgGNDKzNYC9xI5cP84kAZMN7M57j4cSAdmmFkYWAeMjmL5I4CQu98DnAKMM7NioAS40d23HXABIiISc+buic6QMKFQyLOytIdMRORQmNlsdw+VNy4pdn+JiEjVUK23VMwsD1h1BItoBWyJUZxYUq5Do1yHRrkOTVXM1cndyz19tloXlSNlZlkVbQImknIdGuU6NMp1aKpbLu3+EhGRmFFRERGRmFFROTITEh2gAsp1aJTr0CjXoalWuXRMRUREYkZbKiIiEjMqKiIiEjMqKgEza2Zmk8xsoZktMLPjzWygmX0eXE0yy8yGBNPWNrMXgitVLjCz2ytYZgsz+4eZLQnumydJrkeC5WWb2RQza5YMuUot+//MzM2sVbLkMrP/MbNFFrly6cPJkKui+eOY66BXaA2mq+z1Ptpclb3eR5Wr1LIra72POtdhrffurlvkuNILwHXB4zpAM+Bd4Nxg2HnAh8Hj7wKvBo8bACuBjHKW+TAwNng8FngoSXKdDdQKHj+ULLmC8R2AGUS+lNoqGXIBpwEzgbrB8/QkyVXu/HHMdRPw3P7PAJgN1EiC9T7aXJW93keVKwHrfbSf12Gt99pSASxy7ZVTgD8DuPs+d88HHNh/XZamwPrgsQMNzawWUB/YB+woZ9EjifywCe4vSoZc7v6uRy43APA50D4ZcgUeBW4L5jkkccz1Y+BBj1xiAY9cnTQZclU0f7xyVXiF1jIqe72PKlcC1vtoPy+o3PU+2lyHt94fakWsijdgIPAl8DzwNfAs0BDoDawG1hDpntwpmL428CqQB+wCbqhgufllnn+TDLnKvMYbwNXJkAsYAfw+eLySQ/yPLY655gC/BL4APgIGJ0mucuePY64bgNeIdDfvTOSP0agkWO+jypWA9T7az6uy1/toc83hMNb7qINX5RuRKl0MDA2e/57IZYz/sP/DBr4DzAwenwi8ROSXPx1YBHQpZ7lH+ssVl1ylln8nMIXg1PJE5iKym+cLoGnw/HB+ueL1c5wXLMOAIcCKQ/nM4pir3PnjmKsWkf+o5wDTgLeAkUmw3keVKwHr/UFzJWi9j/bneFjrfdTBq/INaA2sLPX8ZGA6sH3/hxh8sDuCx38ERpeafiLwnXKWuwhoEzxuAyxKhlzBuO8DnwENkuHzAvoDm4NfqpXBL8lqoHWiPy/gHWBYqefLgLQkyFXu/PHKVc78s4A+iV7vo81V2et9NLkSsd4fws/xsNZ7HVMB3H0jsMbMegaDzgDmE9kHeWow7HQilziGyA/9dItoCBwHLCxn0a8TWYkJ7qclQy4zOwcYA4xw992Hkileudw9x93T3T3DI1f6XAscG7xWwnIFpgbzYWY9iBwIjbq7axxzVTR/XHJZBVdoLWfRlbreR5urstf7aHIlYr0/hJ/jVA5nvT/Ual1Vb0T2S2YB2cGH2ZzIJYxnA3OJbKIOCqZtRGSfZG7ww7u11HKeJXJFSoCWRA6ILQnuWyRJrqVE9rPOCW5PJUOuMstfyeGdBROPz6sO8FciuwO+Ak5Pklzlzh/HXBlEtkIWEDkrqFOSrPfR5qrs9T6qXAlY76P9vA5rvVebFhERiRnt/hIRkZhRURERkZhRURERkZhRURERkZhRURERkZhRURERkZhRURGpJGbWMmhDPsfMNprZulLP65SariQY1jZ4vnJ/O3QzG2RmK8zsGDO73MyWmtmbiXpPImXVSnQAkerC3bcS+ZIaZnYfsNPdf1POpHvcfWDZgWY2AJgEXO7uXwNfm9km4P/ilVnkUGlLRSQ19CbyTenR7v5lgrOIVEhbKiKpYRqRVu3/THQQkQPRlopIapgJXGdmNRMdRORAVFREUsNPg/snE5pC5CBUVERSQxi4EuhpZuMSHUakIioqIinCI9cKHwmMMLObEp1HpDw6UC+SAO5+3yFMm1Hq8XaC05JFkpG2VESSz47SX36siJldTuQYyzeVE0vk4HSRLhERiRltqYiISMyoqIiISMyoqIiISMyoqIiISMz8P6/CeLhNAbkNAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "vary_range = list(result.keys())\n", - "result_list = list(result.values())\n", - "\n", - "index_max = result_list.index(max(result_list))\n", - "index_min = result_list.index(min(result_list))\n", - "\n", "print('=======Result summary=======')\n", - "print('The biggest criterion value is:', max(result_list), ' at:', vary_range[index_max])\n", - "print('The smallest criterion value is:', min(result_list), ' at:', vary_range[index_min])\n", - "\n", - "plt.plot(vary_range, result_list)\n", - "plt.xlabel('T [K]')\n", - "plt.ylabel('Design criteria')" - ] - }, - { - "cell_type": "markdown", - "id": "hindu-bathroom", - "metadata": {}, - "source": [ - "## Optimization" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "wicked-raising", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 24280\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 1930\n", - "\n", - "Total number of variables............................: 6414\n", - " variables with only lower bounds: 2316\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6414\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 7.66e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (288851)\n", - " 1 -2.0807787e+01 7.86e+03 2.05e+04 -1.0 7.66e+02 - 2.58e-03 2.15e-01f 1\n", - " 2 -2.0832828e+01 7.55e+03 1.97e+04 -1.0 6.09e+02 - 1.05e-01 3.99e-02h 1\n", - " 3 -2.0832859e+01 7.54e+03 1.97e+04 -1.0 4.44e+02 - 1.61e-01 6.81e-04h 1\n", - " 4r-2.0832859e+01 7.54e+03 1.00e+03 3.9 0.00e+00 - 0.00e+00 4.29e-07R 5\n", - " 5r-1.9171589e+01 2.08e+03 1.68e+04 3.9 5.82e+06 - 3.62e-05 1.28e-03f 1\n", - " 6r-1.8985036e+01 2.00e+03 1.68e+04 1.8 8.89e+04 - 1.24e-01 1.04e-03f 1\n", - " 7r-1.8912085e+01 1.99e+03 1.99e+04 1.8 6.20e+03 - 4.65e-02 7.41e-03f 1\n", - " 8r-1.8730096e+01 1.94e+03 2.98e+04 1.8 4.29e+03 - 1.63e-01 2.90e-02f 1\n", - " 9r-1.8461505e+01 1.82e+03 2.91e+04 1.8 1.87e+03 - 3.79e-01 6.44e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r-1.7602647e+01 1.22e+03 1.81e+04 1.8 7.67e+02 - 7.46e-01 3.46e-01f 1\n", - " 11r-1.6984383e+01 3.78e+02 1.51e+04 1.8 2.22e+02 - 1.00e+00 7.87e-01f 1\n", - " 12r-1.6599780e+01 4.38e+03 5.16e+06 1.8 5.42e+00 4.0 5.58e-01 7.77e-01f 1\n", - " 13r-1.6562450e+01 5.90e+03 3.32e+06 1.8 3.47e+00 3.5 6.20e-01 2.29e-01f 1\n", - " 14r-1.6439194e+01 2.12e+03 1.48e+06 1.8 2.47e+00 3.0 7.34e-01 8.33e-01f 1\n", - " 15r-1.6431083e+01 1.40e+03 9.61e+05 1.8 1.24e+01 2.6 7.41e-01 3.73e-01f 1\n", - " 16r-1.6475243e+01 1.02e+03 6.62e+05 1.8 4.38e+01 2.1 4.82e-01 2.94e-01f 1\n", - " 17r-1.6518732e+01 8.18e+02 5.11e+05 1.8 4.09e+01 1.6 1.00e+00 2.16e-01f 1\n", - " 18r-1.6560446e+01 7.16e+02 4.45e+05 1.8 5.87e+01 1.1 1.00e+00 1.30e-01f 1\n", - " 19r-1.6804245e+01 6.01e+02 3.73e+05 1.8 1.23e+02 0.7 1.00e+00 1.67e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r-1.6880787e+01 5.93e+02 3.68e+05 1.8 6.51e+02 - 7.07e-01 1.45e-02f 1\n", - " 21r-1.9206906e+01 3.11e+02 8.84e+04 1.8 4.76e+01 - 1.00e+00 1.00e+00f 1\n", - " 22r-1.9082387e+01 2.39e+02 2.46e+05 1.8 1.97e+00 4.7 2.40e-01 2.51e-01h 1\n", - " 23r-1.9083876e+01 2.32e+02 2.39e+05 1.8 4.21e+01 - 1.00e+00 2.67e-02h 1\n", - " 24r-1.9098979e+01 7.06e+01 2.67e+04 1.8 4.06e+01 - 1.00e+00 1.00e+00h 1\n", - " 25r-1.9076580e+01 1.67e+01 5.46e+03 1.8 1.26e-01 4.2 1.00e+00 1.00e+00f 1\n", - " 26r-1.9072324e+01 1.30e+01 1.13e+04 1.1 7.17e-02 3.7 1.00e+00 1.00e+00f 1\n", - " 27r-1.9071712e+01 3.09e+01 7.58e+03 1.1 1.41e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 28r-1.9073184e+01 1.91e+01 2.06e+05 1.1 6.65e-02 3.7 1.00e+00 1.00e+00f 1\n", - " 29r-1.9075130e+01 8.23e+00 4.44e+04 1.1 1.30e-01 3.2 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r-1.9081630e+01 2.26e+01 3.22e+04 1.1 2.66e-01 2.7 9.46e-01 1.00e+00f 1\n", - " 31r-1.9082491e+01 1.30e+01 8.08e+04 1.1 4.24e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 32r-1.9085987e+01 2.25e+01 1.50e+05 1.1 9.50e-02 3.6 5.97e-01 1.00e+00f 1\n", - " 33r-1.9090465e+01 3.94e+01 4.76e+04 1.1 1.57e-01 3.1 1.00e+00 7.08e-01f 1\n", - " 34r-1.9092667e+01 3.52e+01 2.42e+04 1.1 8.81e-02 3.5 1.00e+00 6.05e-01f 1\n", - " 35r-1.9097463e+01 9.74e+00 3.30e+05 1.1 1.14e-01 4.0 1.00e+00 1.00e+00f 1\n", - " 36r-1.9100810e+01 1.43e+01 1.54e+05 1.1 1.42e-01 3.5 7.37e-01 5.55e-01f 1\n", - " 37r-1.9111450e+01 2.14e+01 1.37e+05 1.1 2.50e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 38r-1.9111499e+01 3.49e+00 2.38e+04 1.1 1.47e-02 5.2 1.00e+00 1.00e+00f 1\n", - " 39r-1.8788474e+01 4.55e+00 1.90e+04 1.1 7.06e+01 - 8.66e-01 1.80e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r-1.8443490e+01 5.41e+00 1.44e+04 1.1 5.64e+01 - 1.00e+00 2.19e-01f 1\n", - " 41r-1.7905917e+01 7.16e+00 9.08e+03 1.1 4.22e+01 - 8.05e-01 3.39e-01f 1\n", - " 42r-1.7190141e+01 8.38e+00 3.91e+03 1.1 2.43e+01 - 4.29e-01 5.29e-01f 1\n", - " 43r-1.6243495e+01 1.40e+01 2.40e+03 1.1 5.55e+00 - 1.00e+00 1.00e+00f 1\n", - " 44r-1.6228343e+01 1.31e+01 3.99e+03 1.1 9.73e-01 4.8 6.31e-02 6.31e-02h 1\n", - " 45r-1.6225326e+01 1.29e+01 5.59e+03 1.1 9.20e-01 4.3 1.01e-01 1.55e-02h 4\n", - " 46r-1.6055181e+01 6.20e+00 4.01e+05 1.1 8.69e-01 3.8 2.27e-01 7.88e-01h 1\n", - " 47r-1.5999715e+01 2.96e+00 1.65e+05 1.1 6.81e-01 3.3 1.00e+00 7.42e-01f 1\n", - " 48r-1.5994036e+01 2.44e+00 1.36e+05 1.1 8.15e-01 2.9 1.00e+00 1.83e-01f 1\n", - " 49r-1.6000262e+01 1.93e+00 1.06e+05 1.1 1.02e+00 2.4 1.00e+00 2.30e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r-1.6022723e+01 8.28e-01 1.94e+04 1.1 3.51e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 51r-1.6028684e+01 4.20e-01 1.27e+03 1.1 4.67e-02 3.2 1.00e+00 1.00e+00f 1\n", - " 52r-1.6029416e+01 4.20e-01 5.09e+02 1.1 2.05e-02 2.8 1.00e+00 1.00e+00h 1\n", - " 53r-1.6029180e+01 1.49e+00 5.81e+02 0.4 1.79e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 54r-1.6029181e+01 4.20e-01 2.04e+03 0.4 1.61e-03 6.3 1.00e+00 1.00e+00f 1\n", - " 55r-1.6029185e+01 4.20e-01 5.22e+02 0.4 5.75e-04 5.8 1.00e+00 1.00e+00f 1\n", - " 56r-1.6029244e+01 4.20e-01 1.01e+03 0.4 1.90e-03 5.4 1.00e+00 1.00e+00f 1\n", - " 57r-1.6029336e+01 4.20e-01 3.79e+02 0.4 4.93e-03 4.9 1.00e+00 1.00e+00f 1\n", - " 58r-1.6029396e+01 4.20e-01 2.30e+02 0.4 8.99e-03 4.4 1.00e+00 1.00e+00f 1\n", - " 59r-1.6029538e+01 4.20e-01 1.22e+02 0.4 1.43e-02 3.9 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r-1.6029818e+01 4.20e-01 7.44e+02 -0.3 3.49e-02 3.5 1.00e+00 5.90e-01f 1\n", - " 61r-1.6030376e+01 4.19e-01 5.59e+02 -0.3 1.01e-01 3.0 7.40e-01 4.81e-01f 1\n", - " 62r-1.6030751e+01 4.18e-01 8.86e+02 -0.3 2.37e-01 2.5 4.08e-01 1.65e-01f 1\n", - " 63r-1.6031197e+01 4.18e-01 6.06e+02 -0.3 9.20e-02 2.9 2.86e-01 3.54e-01f 1\n", - " 64r-1.6031896e+01 4.16e-01 3.95e+02 -0.3 2.55e-01 2.4 1.66e-01 2.68e-01f 1\n", - " 65r-1.6033189e+01 1.16e+01 9.51e+02 -0.3 7.49e+00 2.0 2.17e-02 1.65e-02f 1\n", - " 66r-1.6033518e+01 1.04e+01 8.54e+02 -0.3 2.74e-01 2.4 2.37e-01 1.06e-01f 1\n", - " 67r-1.6034046e+01 9.43e+00 9.74e+02 -0.3 6.34e-01 1.9 2.96e-01 1.05e-01f 1\n", - " 68r-1.6034537e+01 7.91e+00 8.27e+02 -0.3 2.60e-01 2.3 1.30e-01 1.67e-01f 1\n", - " 69r-1.6035062e+01 7.24e+00 7.38e+02 -0.3 6.26e-01 1.9 1.39e-01 8.59e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r-1.6035986e+01 5.29e+00 4.93e+02 -0.3 2.62e-01 2.3 1.66e-01 2.84e-01f 1\n", - " 71r-1.6037071e+01 4.45e+00 5.86e+02 -0.3 6.66e-01 1.8 1.12e-01 1.74e-01f 1\n", - " 72r-1.6037740e+01 3.70e+00 5.14e+02 -0.3 2.39e-01 2.2 3.64e-01 1.82e-01f 1\n", - " 73r-1.6038417e+01 3.24e+00 5.08e+02 -0.3 6.36e-01 1.8 2.21e-01 1.41e-01f 1\n", - " 74r-1.6039732e+01 1.93e+00 5.66e+02 -0.3 2.28e-01 2.2 3.14e-01 5.19e-01f 1\n", - " 75r-1.6040371e+01 1.10e+00 2.98e+02 -0.3 7.23e-02 2.6 4.75e-01 4.67e-01f 1\n", - " 76r-1.6041159e+01 8.95e-01 3.84e+02 -0.3 1.91e-01 2.1 4.50e-01 2.18e-01f 1\n", - " 77r-1.6042252e+01 9.41e+00 1.26e+03 -0.3 1.09e+00 1.7 1.60e-01 2.64e-01f 1\n", - " 78r-1.6042591e+01 5.00e+00 7.49e+02 -0.3 1.32e-01 3.0 4.92e-01 5.15e-01f 1\n", - " 79r-1.6044247e+01 7.08e-01 3.23e+02 -0.3 8.39e-02 2.5 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r-1.6028124e+01 1.91e+00 3.11e+02 -0.3 2.42e+01 - 5.61e-02 3.12e-02f 1\n", - " 81r-1.6029269e+01 1.57e+00 6.02e+02 -0.3 2.31e-01 2.0 4.84e-01 2.21e-01f 1\n", - " 82r-1.6003848e+01 1.52e+00 6.66e+02 -0.3 2.29e+01 - 1.12e-01 4.43e-02f 1\n", - " 83r-1.5934517e+01 1.52e+00 4.26e+02 -0.3 2.20e+01 - 1.25e-01 2.07e-01f 1\n", - " 84r-1.5975312e+01 1.33e+00 7.14e+02 -0.3 1.73e+01 - 5.39e-01 1.38e-01f 1\n", - " 85r-1.5981693e+01 1.28e+00 6.94e+02 -0.3 8.26e+00 - 1.50e-01 3.74e-02f 1\n", - " 86r-1.6056433e+01 9.46e-01 4.81e+02 -0.3 8.71e+00 - 5.05e-02 3.23e-01f 1\n", - " 87r-1.6113539e+01 8.35e-01 4.90e+02 -0.3 6.09e+00 - 1.00e+00 1.21e-01f 1\n", - " 88r-1.6169810e+01 6.87e-01 3.84e+02 -0.3 4.14e+00 - 8.28e-01 1.89e-01f 1\n", - " 89r-1.6434411e+01 4.00e-01 1.28e+02 -0.3 2.72e+00 - 1.00e+00 9.87e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r-1.6446844e+01 2.33e-01 1.46e+01 -0.3 5.41e-01 - 1.00e+00 1.00e+00f 1\n", - " 91r-1.6384990e+01 1.37e-01 1.52e+02 -1.0 4.07e-01 - 1.00e+00 9.02e-01f 1\n", - " 92r-1.6333732e+01 1.21e-01 1.78e+03 -1.0 1.40e+01 - 1.00e+00 2.76e-01f 1\n", - " 93r-1.6281625e+01 1.49e-01 1.04e+03 -1.0 9.71e+00 - 1.00e+00 2.85e-01f 1\n", - " 94r-1.6218076e+01 1.48e-01 9.67e+02 -1.0 4.35e+00 - 9.34e-01 8.16e-02f 1\n", - " 95r-1.5736102e+01 1.94e+00 3.77e+02 -1.0 3.96e+00 - 1.00e+00 6.10e-01f 1\n", - " 96r-1.5329553e+01 2.24e+00 4.84e+02 -1.0 4.44e+00 - 1.00e+00 2.81e-01f 1\n", - " 97r-1.5678178e+01 1.32e+00 1.51e+01 -1.0 1.68e+00 - 1.00e+00 1.00e+00f 1\n", - " 98r-1.5539999e+01 1.46e-01 3.86e-01 -1.0 4.34e-01 - 1.00e+00 1.00e+00h 1\n", - " 99r-1.5610238e+01 9.32e-02 3.37e+02 -2.6 5.17e-01 - 9.19e-01 7.49e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r-1.5536148e+01 1.23e-01 1.82e+03 -2.6 7.52e+01 - 5.62e-01 5.33e-02f 1\n", - " 101r-1.5536111e+01 1.02e-01 3.05e+03 -2.6 8.99e-02 1.6 1.00e+00 1.71e-01f 1\n", - " 102r-1.5525136e+01 1.03e-01 3.53e+03 -2.6 7.11e+01 - 1.00e+00 9.10e-03f 1\n", - " 103r-1.5438524e+01 2.56e-01 3.31e+03 -2.6 6.49e+01 - 1.00e+00 7.75e-02f 1\n", - " 104r-1.5378492e+01 3.16e-01 3.29e+03 -2.6 5.57e+01 - 1.00e+00 4.94e-02f 1\n", - " 105r-1.5181639e+01 9.83e-01 2.89e+03 -2.6 5.23e+01 - 1.00e+00 1.49e-01f 1\n", - " 106r-1.5044974e+01 1.20e+00 2.68e+03 -2.6 3.63e+01 - 1.00e+00 8.68e-02f 1\n", - " 107r-1.4652582e+01 3.14e+00 2.11e+03 -2.6 6.21e+00 - 1.00e+00 2.18e-01f 1\n", - " 108r-1.0967738e+01 6.56e+01 6.28e+02 -2.6 7.57e+00 - 1.00e+00 1.00e+00f 1\n", - " 109r-1.1009624e+01 6.44e+01 7.04e+02 -2.6 2.71e+00 1.1 2.95e-02 1.87e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r-1.1663246e+01 4.22e+01 7.75e+03 -2.6 2.53e+00 0.6 3.90e-03 3.62e-01h 1\n", - " 111r-1.3251588e+01 1.42e+01 1.89e+03 -2.6 3.57e+00 0.1 1.00e+00 1.00e+00h 1\n", - " 112r-1.3122838e+01 9.45e+00 1.27e+03 -2.6 1.19e+00 0.6 1.00e+00 3.46e-01h 1\n", - " 113r-1.2976434e+01 3.27e+00 1.72e+03 -2.6 6.47e-01 1.0 8.45e-03 6.77e-01h 1\n", - " 114r-1.2962129e+01 1.55e+00 8.14e+02 -2.6 1.03e-01 1.4 1.00e+00 5.27e-01h 1\n", - " 115r-1.2931903e+01 6.84e-01 3.55e+02 -2.6 1.33e-01 0.9 1.00e+00 5.64e-01h 1\n", - " 116r-1.2785052e+01 6.16e-01 3.48e+02 -2.6 9.82e-01 0.5 1.00e+00 3.66e-01f 1\n", - " 117r-1.2784204e+01 5.53e-01 3.81e+02 -2.6 6.05e-02 1.8 1.92e-01 1.01e-01h 1\n", - " 118r-1.2790501e+01 4.16e-01 1.35e+03 -2.6 6.86e-02 1.3 1.00e+00 2.49e-01h 1\n", - " 119r-1.2802974e+01 3.89e-03 6.92e+01 -2.6 5.62e-02 0.8 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r-1.2773011e+01 2.83e-03 3.33e+01 -2.6 1.07e-01 0.4 1.00e+00 1.00e+00f 1\n", - " 121r-1.2701040e+01 1.68e-02 1.16e+01 -2.6 3.35e-01 -0.1 1.00e+00 7.95e-01f 1\n", - " 122r-1.2511963e+01 2.02e-01 5.37e+01 -2.6 1.07e+00 -0.6 1.00e+00 7.78e-01f 1\n", - " 123r-1.2480753e+01 6.13e-01 9.34e+01 -2.6 4.13e+00 -1.1 6.70e-01 1.59e-01f 1\n", - " 124r-1.2466485e+01 1.67e-01 8.74e+01 -2.6 4.66e-01 -0.7 1.00e+00 1.00e+00h 1\n", - " 125r-1.2325845e+01 1.58e-01 6.50e+00 -2.6 8.52e-01 -1.1 1.00e+00 1.00e+00h 1\n", - " 126r-1.2525818e+01 3.76e-01 1.69e+01 -2.6 1.02e+00 -1.6 7.81e-01 6.15e-01h 1\n", - " 127r-1.2560629e+01 1.55e+00 6.75e+01 -2.6 3.37e+00 - 1.00e+00 4.00e-01h 1\n", - " 128r-1.2674322e+01 5.94e-01 1.42e+01 -2.6 1.49e+00 - 1.00e+00 7.82e-01h 1\n", - " 129r-1.2720176e+01 1.67e-02 2.16e-01 -2.6 4.28e-01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r-1.2707960e+01 1.10e-03 2.88e-02 -2.6 8.00e-02 - 1.00e+00 1.00e+00h 1\n", - " 131r-1.2723517e+01 2.69e-03 1.88e+02 -3.9 1.85e-01 - 8.71e-01 7.75e-01f 1\n", - " 132r-1.2756869e+01 1.21e-02 3.15e+03 -3.9 4.72e+00 -2.1 1.00e+00 7.28e-02f 1\n", - " 133r-1.2735532e+01 2.00e-02 3.46e+03 -3.9 1.41e+01 - 8.41e-01 2.00e-02f 1\n", - " 134r-1.2708149e+01 1.97e-02 3.51e+03 -3.9 6.95e+00 - 1.00e+00 1.42e-02f 1\n", - " 135r-1.2731994e+01 2.26e-03 1.84e+02 -3.9 1.04e-01 - 1.00e+00 9.48e-01f 1\n", - " 136r-1.2743336e+01 4.22e-04 1.18e-01 -3.9 4.93e-02 - 1.00e+00 1.00e+00f 1\n", - " 137r-1.2743403e+01 2.11e-07 8.60e-07 -3.9 2.12e-04 - 1.00e+00 1.00e+00h 1\n", - " 138r-1.2743445e+01 4.44e-08 8.02e+02 -8.7 4.07e-04 - 1.00e+00 7.07e-01f 1\n", - " 139r-1.2743471e+01 2.27e-08 1.31e+03 -8.7 2.50e-04 - 9.49e-01 6.85e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r-1.2743463e+01 1.35e-09 2.21e+01 -8.7 5.08e-05 - 9.08e-01 9.73e-01f 1\n", - "\n", - "Number of Iterations....: 140\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -1.2743463437887634e+01 -1.2743463437887634e+01\n", - "Dual infeasibility......: 1.4420908911461083e-11 1.4420908911461083e-11\n", - "Constraint violation....: 1.3455974112730473e-09 1.3455974112730473e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.3455974112730473e-09 1.3455974112730473e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 150\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 150\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 142\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 140\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 1.331\n", - "Total CPU secs in NLP function evaluations = 0.177\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "FIM: [[ 31.19391557 7.03339196 -85.14802973 -28.2775692 ]\n", - " [ 7.03339196 28.43641665 -14.61671733 -144.55965845]\n", - " [ -85.14802973 -14.61671733 245.08976375 64.53400122]\n", - " [ -28.2775692 -144.55965845 64.53400122 781.21669121]]\n", - "Trace: 1085.936787183226\n", - "Determinant: 342307.05601205427\n", - "Condition number: 1196.9590568982903\n", - "Minimal eigen value: 0.6830775159226116\n", - "Eigen values: [8.17615819e+02 2.65327881e+02 6.83077516e-01 2.31000908e+00]\n", - "Eigen vectors: [[ 0.04986208 -0.32439007 -0.71003426 0.62300578]\n", - " [ 0.18122355 0.01274679 0.6524547 0.73572984]\n", - " [-0.12189547 0.93666857 -0.23867145 0.22545384]\n", - " [-0.97458365 -0.13137959 0.11484837 0.14048474]]\n", - "Model objective: 12.743463437887634\n", - "Objective(determinant) is: 342307.056029055\n", - "Solution of CA0 : [5]\n", - "Solution of T : [689.5999999999999]\n", - "======problem solver output======\n", - "converged\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 25168\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 1931\n", - "\n", - "Reallocating memory for MA57: lfact (322524)\n", - "Total number of variables............................: 6416\n", - " variables with only lower bounds: 2316\n", - " variables with lower and upper bounds: 98\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6414\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.2743463e+01 2.19e-01 7.08e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (343396)\n", - " 1 -1.2752110e+01 1.68e-01 7.40e+00 -1.0 2.81e+00 - 9.73e-01 2.33e-01h 1\n", - " 2 -1.2775633e+01 4.75e-02 1.77e+01 -1.0 1.06e+01 - 6.55e-01 1.00e+00h 1\n", - " 3 -1.2843714e+01 2.98e-01 2.38e+01 -1.0 5.55e+02 - 8.00e-02 3.68e-02f 4\n", - " 4 -1.2893635e+01 4.48e-01 2.86e+02 -1.0 2.00e+02 -4.0 5.17e-01 7.52e-02f 4\n", - " 5 -1.2952005e+01 7.37e-01 2.72e+02 -1.0 7.08e+03 - 4.77e-03 2.57e-03f 4\n", - " 6 -1.2983839e+01 7.73e-01 7.28e+02 -1.0 8.60e+01 -3.6 1.00e+00 1.21e-01f 4\n", - " 7 -1.3007153e+01 8.07e-01 7.42e+02 -1.0 1.28e+02 - 2.09e-01 6.25e-02f 5\n", - " 8 -1.3364143e+01 2.42e+01 6.83e+02 -1.0 2.53e+02 -4.1 1.74e-01 5.14e-01f 1\n", - " 9 -1.3208201e+01 8.11e+00 9.19e+02 -1.0 6.58e+01 - 9.69e-02 8.02e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.3176109e+01 4.50e+00 3.82e+04 -1.0 1.82e+01 - 5.50e-01 1.00e+00f 1\n", - " 11 -1.3254061e+01 5.45e+00 6.35e+04 -1.0 3.32e+01 - 4.24e-01 1.00e+00f 1\n", - " 12 -1.3252325e+01 9.60e-01 6.65e+02 -1.0 1.33e+01 - 1.00e+00 1.00e+00f 1\n", - " 13 -1.3335649e+01 8.65e+01 3.73e+04 -1.0 1.85e+02 - 1.44e-01 7.40e-01f 1\n", - " 14 -1.3306779e+01 7.47e+01 3.18e+04 -1.0 2.27e+01 - 1.97e-01 1.42e-01f 1\n", - " 15 -1.3119976e+01 2.63e+01 8.87e+02 -1.0 4.37e+01 - 2.24e-01 1.00e+00f 1\n", - " 16 -1.3267337e+01 1.79e+00 4.57e+01 -1.0 2.28e+01 -1.8 8.37e-01 1.00e+00h 1\n", - " 17 -1.3177908e+01 1.27e+02 3.36e+02 -1.0 2.57e+02 - 2.59e-01 1.00e+00f 1\n", - " 18 -1.3217063e+01 1.27e+02 3.36e+02 -1.0 5.81e+04 - 5.70e-03 4.22e-04f 1\n", - " 19 -1.3007843e+01 2.29e+01 9.46e+01 -1.0 9.25e+01 - 5.59e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.3139300e+01 3.21e+01 2.26e+01 -1.0 2.75e+02 - 1.00e+00 7.61e-01f 1\n", - " 21 -1.3066777e+01 6.18e+01 3.30e+01 -1.0 2.49e+02 - 5.05e-01 1.00e+00f 1\n", - " 22 -1.3077525e+01 9.61e+00 3.69e+00 -1.0 1.20e+02 - 1.00e+00 1.00e+00h 1\n", - " 23 -1.3128767e+01 2.47e+00 1.28e+00 -1.0 2.79e+01 - 1.00e+00 1.00e+00h 1\n", - " 24 -1.3135384e+01 1.23e-01 8.25e-02 -1.0 7.99e+00 - 1.00e+00 1.00e+00h 1\n", - " 25 -1.3135789e+01 1.80e-04 1.45e-02 -2.5 5.61e-01 - 1.00e+00 1.00e+00h 1\n", - " 26 -1.3141807e+01 1.23e-01 1.65e-01 -3.8 1.26e+01 - 9.80e-01 1.00e+00h 1\n", - " 27 -1.3142993e+01 6.01e-05 8.91e-04 -3.8 1.76e-01 -2.3 1.00e+00 1.00e+00h 1\n", - " 28 -1.3194798e+01 8.63e+00 2.71e+00 -5.7 1.98e+02 - 4.83e-01 5.78e-01f 1\n", - " 29 -1.3235592e+01 9.02e-01 4.20e-01 -5.7 3.84e+01 - 9.18e-01 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.3237718e+01 1.05e-03 1.41e-03 -5.7 5.95e-01 - 1.00e+00 1.00e+00h 1\n", - " 31 -1.3237666e+01 2.49e-06 8.52e-07 -5.7 7.42e-02 - 1.00e+00 1.00e+00h 1\n", - " 32 -1.3237847e+01 2.69e-05 1.07e-05 -8.6 2.43e-01 - 1.00e+00 1.00e+00h 1\n", - " 33 -1.3237847e+01 1.49e-11 4.87e-12 -8.6 1.77e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 33\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -1.3237846622081737e+01 -1.3237846622081737e+01\n", - "Dual infeasibility......: 4.8672177399566863e-12 4.8672177399566863e-12\n", - "Constraint violation....: 1.4892975741531700e-11 1.4892975741531700e-11\n", - "Complementarity.........: 2.5059050513034921e-09 2.5059050513034921e-09\n", - "Overall NLP error.......: 2.5059050513034921e-09 2.5059050513034921e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 62\n", - "Number of objective gradient evaluations = 34\n", - "Number of equality constraint evaluations = 62\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 34\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 33\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.330\n", - "Total CPU secs in NLP function evaluations = 0.043\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "FIM: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", - " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", - " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", - " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n", - "Trace: 1981.0424592679437\n", - "Determinant: 561207.8539766996\n", - "Condition number: 2950.2205041042375\n", - "Minimal eigen value: 0.5016010464925413\n", - "Eigen values: [1.47983369e+03 4.99192614e+02 5.01601046e-01 1.51455219e+00]\n", - "Eigen vectors: [[-0.03538095 0.3120344 -0.77934566 0.54222049]\n", - " [-0.17098781 -0.01375256 0.56416591 0.80764526]\n", - " [ 0.09797729 -0.94433769 -0.25524836 0.18296187]\n", - " [ 0.97975089 0.10330402 0.09584074 0.14223581]]\n", - "Model objective: 13.237846622081737\n", - "Objective(determinant) is: 561207.8539767276\n", - "Solution of CA0 : [5.0]\n", - "Solution of T : [300.0000242851759]\n", - "======problem solver output======\n", - "converged\n" - ] - } - ], + "for i in range(len(exp_all)):\n", + " print('The ', i+1,'th experiment has optimality log10() values:')\n", + " print('A-optimality:', np.log10(result[0][i].trace))\n", + " print('D-optimality:', np.log10(result[0][i].det))\n", + " print('E-optimality:', np.log10(result[0][i].min_eig))\n", + " print('Modified E-optimality:', np.log10(result[0][i].cond))" + ] + }, + { + "cell_type": "markdown", + "id": "b0757b02", + "metadata": {}, + "source": [ + "### Run 1D analysis\n", + "\n", + "Run 1D sensitivity analysis with one changing design variable\n", + "\n", + "Note: this method can only deal with constant T problems" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "270e807a", + "metadata": {}, + "outputs": [], + "source": [ + "# Define experiments\n", + "if (model_opt=='dynamic-DAE'):\n", + " exp1 = generate_exp(t_control, 5, [570.21, 300, 300, 300, 300, 300, 300, 300, 300])\n", + "else: \n", + " exp1 = generate_exp(t_control, 5, [500])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5fb1c31e", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", + " ['CA','CB','CC'], t_measure, createmod,\n", + " prior_FIM=prior_pass, discretize_model=disc)\n", + "\n", + "# choose from 'simultaneous', 'sequential', 'sipopt'\n", + "#sensi_opt = 'simultaneous_finite'\n", + "#sensi_opt = 'sequential_finite'\n", + "sensi_opt = 'sequential_sipopt'\n", + "if_s = True\n", + "result = doe_object.sensitivity_analysis_1D(exp1, {'T':[688,690]}, sensitivity_step=0.4, compare_opt='ME',\n", + " mode=sensi_opt, tee_option=False,\n", + " scale_nominal_param_value=if_s, formula='central')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "574f1669", + "metadata": {}, + "outputs": [], + "source": [ + "vary_range = list(result.keys())\n", + "result_list = list(result.values())\n", + "\n", + "index_max = result_list.index(max(result_list))\n", + "index_min = result_list.index(min(result_list))\n", + "\n", + "print('=======Result summary=======')\n", + "print('The biggest criterion value is:', max(result_list), ' at:', vary_range[index_max])\n", + "print('The smallest criterion value is:', min(result_list), ' at:', vary_range[index_min])\n", + "\n", + "plt.plot(vary_range, result_list)\n", + "plt.xlabel('T [K]')\n", + "plt.ylabel('Design criteria')" + ] + }, + { + "cell_type": "markdown", + "id": "hindu-bathroom", + "metadata": {}, + "source": [ + "## Optimization" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "wicked-raising", + "metadata": { + "scrolled": true + }, + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -5119,25 +675,10 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "c6b08c05", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "======Result summary======\n", - "This optimization is solved with status: converged\n", - "It gives solution: {'CA0': [5.0], 'T': [300.0000242851759]}\n", - "The log10(OF) optimized is: 13.237846622081737\n", - "The result FIM is: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", - " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", - " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", - " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n" - ] - } - ], + "outputs": [], "source": [ "print('======Result summary======')\n", "print('This optimization is solved with status:', optimize_result.status)\n", @@ -5156,7 +697,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "flush-diameter", "metadata": {}, "outputs": [], @@ -5174,1695 +715,12 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "id": "separate-leone", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "=======This is the 1 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", - " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", - " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", - " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", - "Trace: 1099.5362969977725\n", - "Determinant: 151638.4943213679\n", - "Condition number: 1703.5708820968514\n", - "Minimal eigen value: 0.48581739042109506\n", - "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", - "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", - " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", - " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", - " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", - "This is the 1 run out of 81 run.\n", - "The code has run 1.1997 seconds.\n", - "Estimated remaining time: 95.9743 seconds\n", - "=======This is the 2 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.32275018 5.73052082 -83.45733449 -25.66817709]\n", - " [ 5.73052082 27.64850163 -13.26806928 -145.64721142]\n", - " [ -83.45733449 -13.26806928 245.06096284 63.15882951]\n", - " [ -25.66817709 -145.64721142 63.15882951 800.38603338]]\n", - "Trace: 1102.4182480406644\n", - "Determinant: 150855.125045628\n", - "Condition number: 1705.3048930035557\n", - "Minimal eigen value: 0.48997231855823686\n", - "Eigen values: [8.35552192e+02 2.64985514e+02 4.89972319e-01 1.39056985e+00]\n", - "Eigen vectors: [[ 0.04421991 -0.31912029 -0.77638562 0.54169383]\n", - " [ 0.17820018 0.01472016 0.5657347 0.80496724]\n", - " [-0.1146775 0.93969452 -0.2597058 0.19072538]\n", - " [-0.97628805 -0.12214649 0.0986028 0.14906159]]\n", - "This is the 2 run out of 81 run.\n", - "The code has run 2.3428 seconds.\n", - "Estimated remaining time: 92.5414 seconds\n", - "=======This is the 3 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.13959316 5.68057605 -82.8139664 -25.23666085]\n", - " [ 5.68057605 27.27296764 -13.04504074 -143.14725332]\n", - " [ -82.8139664 -13.04504074 242.98173477 61.60044815]\n", - " [ -25.23666085 -143.14725332 61.60044815 784.93406012]]\n", - "Trace: 1084.3283557002067\n", - "Determinant: 152039.07832960782\n", - "Condition number: 1641.2051904546718\n", - "Minimal eigen value: 0.4993357281605193\n", - "Eigen values: [8.19512389e+02 2.62903408e+02 4.99335728e-01 1.41322349e+00]\n", - "Eigen vectors: [[ 0.04447521 -0.31931057 -0.77803254 0.53919206]\n", - " [ 0.17859423 0.01458837 0.56323502 0.80663349]\n", - " [-0.11473313 0.93961044 -0.26036328 0.19020907]\n", - " [-0.97619791 -0.12231173 0.09819695 0.14978263]]\n", - "This is the 3 run out of 81 run.\n", - "The code has run 3.6772 seconds.\n", - "Estimated remaining time: 95.6067 seconds\n", - "=======This is the 4 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.01044333 5.6006748 -82.42582703 -24.78056053]\n", - " [ 5.6006748 26.92260118 -12.8093067 -141.30405073]\n", - " [ -82.42582703 -12.8093067 241.89507006 60.33727148]\n", - " [ -24.78056053 -141.30405073 60.33727148 775.5570763 ]]\n", - "Trace: 1073.3851908623308\n", - "Determinant: 152189.04419265324\n", - "Condition number: 1609.9994023835127\n", - "Minimal eigen value: 0.5028391663221075\n", - "Eigen values: [8.09570757e+02 2.61884047e+02 5.02839166e-01 1.42754706e+00]\n", - "Eigen vectors: [[ 0.04433757 -0.31929264 -0.77731938 0.54024159]\n", - " [ 0.17845201 0.014419 0.56435213 0.80588687]\n", - " [-0.1142325 0.93968376 -0.2600425 0.19058663]\n", - " [-0.97628889 -0.12181434 0.09828098 0.14953969]]\n", - "This is the 4 run out of 81 run.\n", - "The code has run 4.9889 seconds.\n", - "Estimated remaining time: 96.0354 seconds\n", - "=======This is the 5 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.92490828 5.55538372 -82.19690664 -24.54095093]\n", - " [ 5.55538372 26.74178551 -12.68546547 -140.44317569]\n", - " [ -82.19690664 -12.68546547 241.32359269 59.73172413]\n", - " [ -24.54095093 -140.44317569 59.73172413 771.61101462]]\n", - "Trace: 1068.6013010931579\n", - "Determinant: 151629.20405875487\n", - "Condition number: 1602.4379552920132\n", - "Minimal eigen value: 0.5025670284947488\n", - "Eigen values: [8.05332482e+02 2.61332679e+02 5.02567028e-01 1.43357337e+00]\n", - "Eigen vectors: [[ 0.04419056 -0.31920854 -0.77605387 0.54211945]\n", - " [ 0.17828909 0.01431314 0.56629712 0.80455932]\n", - " [-0.11385326 0.93976516 -0.25949412 0.19115878]\n", - " [-0.97636962 -0.12141862 0.09854321 0.14916141]]\n", - "This is the 5 run out of 81 run.\n", - "The code has run 6.3409 seconds.\n", - "Estimated remaining time: 96.3815 seconds\n", - "=======This is the 6 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.86882939 5.53037525 -82.05970295 -24.41164554]\n", - " [ 5.53037525 26.64172746 -12.6186346 -140.0045525 ]\n", - " [ -82.05970295 -12.6186346 241.01199885 59.42386584]\n", - " [ -24.41164554 -140.0045525 59.42386584 769.77181902]]\n", - "Trace: 1066.294374711943\n", - "Determinant: 150651.09426599584\n", - "Condition number: 1605.4640856393876\n", - "Minimal eigen value: 0.5003756301004131\n", - "Eigen values: [8.03335103e+02 2.61023074e+02 5.00375630e-01 1.43582164e+00]\n", - "Eigen vectors: [[ 0.04408811 -0.31912119 -0.77484501 0.54390542]\n", - " [ 0.17816725 0.0142491 0.56813973 0.80328739]\n", - " [-0.11361614 0.93982827 -0.25897468 0.19169326]\n", - " [-0.97642411 -0.12116701 0.09881581 0.14882859]]\n", - "This is the 6 run out of 81 run.\n", - "The code has run 7.9251 seconds.\n", - "Estimated remaining time: 99.0634 seconds\n", - "=======This is the 7 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.83024839 5.51197609 -81.9726446 -24.32382628]\n", - " [ 5.51197609 26.57520042 -12.57324566 -139.74017115]\n", - " [ -81.9726446 -12.57324566 240.83051064 59.23199143]\n", - " [ -24.32382628 -139.74017115 59.23199143 768.76471335]]\n", - "Trace: 1065.0006727945133\n", - "Determinant: 149413.08866872228\n", - "Condition number: 1612.3033965284394\n", - "Minimal eigen value: 0.4975647310687059\n", - "Eigen values: [8.02225306e+02 2.60842762e+02 4.97564731e-01 1.43503967e+00]\n", - "Eigen vectors: [[ 0.04400313 -0.31904919 -0.77362392 0.54568981]\n", - " [ 0.17807049 0.01421057 0.56997784 0.80200637]\n", - " [-0.11343891 0.93987811 -0.25847425 0.19222854]\n", - " [-0.9764662 -0.12097442 0.09910778 0.14851464]]\n", - "This is the 7 run out of 81 run.\n", - "The code has run 9.6133 seconds.\n", - "Estimated remaining time: 101.6268 seconds\n", - "=======This is the 8 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.80018525 5.49300764 -81.91123719 -24.24793267]\n", - " [ 5.49300764 26.52345436 -12.53402042 -139.55761761]\n", - " [ -81.91123719 -12.53402042 240.71385582 59.08679739]\n", - " [ -24.24793267 -139.55761761 59.08679739 768.1403749 ]]\n", - "Trace: 1064.1778703392624\n", - "Determinant: 147983.78531466573\n", - "Condition number: 1619.2882874718866\n", - "Minimal eigen value: 0.49498422928574204\n", - "Eigen values: [8.01522165e+02 2.60730128e+02 4.94984229e-01 1.43059273e+00]\n", - "Eigen vectors: [[ 0.04391558 -0.31898969 -0.77249369 0.54733034]\n", - " [ 0.17798693 0.01419347 0.57166177 0.80082584]\n", - " [-0.11327681 0.93992205 -0.25802797 0.19270827]\n", - " [-0.97650419 -0.12079184 0.09938759 0.14822618]]\n", - "This is the 8 run out of 81 run.\n", - "The code has run 11.0564 seconds.\n", - "Estimated remaining time: 100.8899 seconds\n", - "=======This is the 9 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 28.77447266 5.4733019 -81.86441559 -24.18097488]\n", - " [ 5.4733019 26.4829594 -12.4994136 -139.4302313 ]\n", - " [ -81.86441559 -12.4994136 240.63335596 58.97428567]\n", - " [ -24.18097488 -139.4302313 58.97428567 767.74785482]]\n", - "Trace: 1063.638642847519\n", - "Determinant: 146507.48646152133\n", - "Condition number: 1624.9104501935346\n", - "Minimal eigen value: 0.49299236417422976\n", - "Eigen values: [8.01068444e+02 2.60653941e+02 4.92992364e-01 1.42326479e+00]\n", - "Eigen vectors: [[ 0.04382893 -0.31893711 -0.7717461 0.54842146]\n", - " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", - " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", - " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", - "This is the 9 run out of 81 run.\n", - "The code has run 12.6645 seconds.\n", - "Estimated remaining time: 101.3162 seconds\n", - "=======This is the 10 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.70641355 5.57815178 -88.05817863 -25.02307897]\n", - " [ 5.57815178 28.03819545 -12.93465209 -149.06593851]\n", - " [ -88.05817863 -12.93465209 260.17215396 61.87992411]\n", - " [ -25.02307897 -149.06593851 61.87992411 826.53130085]]\n", - "Trace: 1145.4480638161667\n", - "Determinant: 166581.38467009662\n", - "Condition number: 1768.1232464410234\n", - "Minimal eigen value: 0.48728421389676346\n", - "Eigen values: [8.61578546e+02 2.81975090e+02 4.87284214e-01 1.40714388e+00]\n", - "Eigen vectors: [[ 0.04232893 -0.31766896 -0.77678944 0.54211886]\n", - " [ 0.17674052 0.01415152 0.56581838 0.80524039]\n", - " [-0.11053633 0.94077102 -0.25856259 0.18941223]\n", - " [-0.97711451 -0.11762676 0.09794444 0.14770939]]\n", - "This is the 10 run out of 81 run.\n", - "The code has run 13.9527 seconds.\n", - "Estimated remaining time: 99.0639 seconds\n", - "=======This is the 11 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.12752784 6.12805011 -85.60807009 -27.7236819 ]\n", - " [ 6.12805011 29.19744073 -14.3304499 -153.65631904]\n", - " [ -85.60807009 -14.3304499 250.80871635 68.65208131]\n", - " [ -27.7236819 -153.65631904 68.65208131 841.79876875]]\n", - "Trace: 1151.9324536678646\n", - "Determinant: 164685.70018609465\n", - "Condition number: 1771.4801724742997\n", - "Minimal eigen value: 0.4964321047417337\n", - "Eigen values: [8.79419631e+02 2.70622477e+02 4.96432105e-01 1.39391410e+00]\n", - "Eigen vectors: [[ 0.04491711 -0.31961785 -0.77643054 0.54127858]\n", - " [ 0.17866548 0.01524896 0.5653439 0.8051288 ]\n", - " [-0.11677295 0.93923424 -0.26030484 0.19090448]\n", - " [-0.97592273 -0.12430185 0.09891048 0.14946769]]\n", - "This is the 11 run out of 81 run.\n", - "The code has run 15.1302 seconds.\n", - "Estimated remaining time: 96.2833 seconds\n", - "=======This is the 12 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.71542453 6.01567437 -84.16049376 -26.75276831]\n", - " [ 6.01567437 28.35248924 -13.82864007 -148.03140872]\n", - " [ -84.16049376 -13.82864007 246.13046204 65.14573844]\n", - " [ -26.75276831 -148.03140872 65.14573844 807.03178755]]\n", - "Trace: 1111.2301633637778\n", - "Determinant: 167498.06622292424\n", - "Condition number: 1630.10789521531\n", - "Minimal eigen value: 0.5173475296016143\n", - "Eigen values: [8.43332293e+02 2.65936913e+02 5.17347530e-01 1.44361061e+00]\n", - "Eigen vectors: [[ 0.04551309 -0.32004255 -0.77992286 0.53593064]\n", - " [ 0.17954663 0.01498612 0.56000596 0.80866047]\n", - " [-0.11700624 0.93903051 -0.26172257 0.18982237]\n", - " [-0.97570544 -0.12477931 0.09805588 0.15104325]]\n", - "This is the 12 run out of 81 run.\n", - "The code has run 16.4628 seconds.\n", - "Estimated remaining time: 94.6609 seconds\n", - "=======This is the 13 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.42483742 5.83589657 -83.2871783 -25.72654463]\n", - " [ 5.83589657 27.56416471 -13.29823411 -143.88420751]\n", - " [ -83.2871783 -13.29823411 243.68545756 62.30357572]\n", - " [ -25.72654463 -143.88420751 62.30357572 785.93361533]]\n", - "Trace: 1086.6080750185051\n", - "Determinant: 167875.11552651896\n", - "Condition number: 1562.4478475438566\n", - "Minimal eigen value: 0.5254321774225026\n", - "Eigen values: [8.20960375e+02 2.63646133e+02 5.25432177e-01 1.47613493e+00]\n", - "Eigen vectors: [[ 0.04524413 -0.3200065 -0.77844675 0.53811659]\n", - " [ 0.17925728 0.01462011 0.56233951 0.8071105 ]\n", - " [-0.11598236 0.93918215 -0.26104818 0.19062748]\n", - " [-0.97589338 -0.12376989 0.09822824 0.1505468 ]]\n", - "This is the 13 run out of 81 run.\n", - "The code has run 18.0547 seconds.\n", - "Estimated remaining time: 94.4401 seconds\n", - "=======This is the 14 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.23238356 5.73399164 -82.77210745 -25.18742309]\n", - " [ 5.73399164 27.15732946 -13.01959137 -141.94723866]\n", - " [ -82.77210745 -13.01959137 242.39963353 60.94109427]\n", - " [ -25.18742309 -141.94723866 60.94109427 777.05497655]]\n", - "Trace: 1075.8443231042434\n", - "Determinant: 166559.47639777444\n", - "Condition number: 1545.6906074240526\n", - "Minimal eigen value: 0.5249576134254763\n", - "Eigen values: [8.11422052e+02 2.62407189e+02 5.24957613e-01 1.49012456e+00]\n", - "Eigen vectors: [[ 0.04492884 -0.31982184 -0.77575625 0.54212326]\n", - " [ 0.17890315 0.01438423 0.56649127 0.80428503]\n", - " [-0.11516394 0.93936059 -0.2598682 0.19185273]\n", - " [-0.97606984 -0.12291775 0.09878462 0.14973475]]\n", - "This is the 14 run out of 81 run.\n", - "The code has run 19.6844 seconds.\n", - "Estimated remaining time: 94.2041 seconds\n", - "=======This is the 15 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.10620604 5.67772258 -82.46339932 -24.89648593]\n", - " [ 5.67772258 26.93219884 -12.86922226 -140.9603365 ]\n", - " [ -82.46339932 -12.86922226 241.69854807 60.24841433]\n", - " [ -24.89648593 -140.9603365 60.24841433 772.91678654]]\n", - "Trace: 1070.65373948992\n", - "Determinant: 164251.619804841\n", - "Condition number: 1551.5407215360776\n", - "Minimal eigen value: 0.5200809843403219\n", - "Eigen values: [8.06926826e+02 2.61711348e+02 5.20080984e-01 1.49548471e+00]\n", - "Eigen vectors: [[ 0.04470411 -0.31962802 -0.77317125 0.54593561]\n", - " [ 0.17863376 0.01423995 0.57042457 0.80156286]\n", - " [-0.11464267 0.93950088 -0.25874541 0.19299216]\n", - " [-0.97619085 -0.12236526 0.09936214 0.14901452]]\n", - "This is the 15 run out of 81 run.\n", - "The code has run 21.2798 seconds.\n", - "Estimated remaining time: 93.6310 seconds\n", - "=======This is the 16 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.0193988 5.63632446 -82.26751782 -24.69889258]\n", - " [ 5.63632446 26.78251299 -12.76709673 -140.36547844]\n", - " [ -82.26751782 -12.76709673 241.29019885 59.81669556]\n", - " [ -24.69889258 -140.36547844 59.81669556 770.65079868]]\n", - "Trace: 1067.7429093235437\n", - "Determinant: 161334.89807169262\n", - "Condition number: 1565.79882549867\n", - "Minimal eigen value: 0.5137499671366336\n", - "Eigen values: [8.04429095e+02 2.61306103e+02 5.13749967e-01 1.49396075e+00]\n", - "Eigen vectors: [[ 0.04451555 -0.31946758 -0.77054608 0.54974319]\n", - " [ 0.17841813 0.01415267 0.57434597 0.79880748]\n", - " [-0.11424927 0.93961231 -0.25766109 0.19413028]\n", - " [-0.97628502 -0.12193796 0.0999811 0.14833231]]\n", - "This is the 16 run out of 81 run.\n", - "The code has run 22.7990 seconds.\n", - "Estimated remaining time: 92.6211 seconds\n", - "=======This is the 17 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.95175675 5.59364544 -82.12935116 -24.52813197]\n", - " [ 5.59364544 26.66608437 -12.67883997 -139.95473299]\n", - " [ -82.12935116 -12.67883997 241.02772555 59.49000905]\n", - " [ -24.52813197 -139.95473299 59.49000905 769.24603721]]\n", - "Trace: 1065.8916038711552\n", - "Determinant: 157986.53907653803\n", - "Condition number: 1580.7201252527295\n", - "Minimal eigen value: 0.5078992315221698\n", - "Eigen values: [8.02846537e+02 2.61053006e+02 5.07899232e-01 1.48416195e+00]\n", - "Eigen vectors: [[ 0.04431997 -0.31933472 -0.76807456 0.55328342]\n", - " [ 0.17823113 0.01411361 0.5779786 0.7962256 ]\n", - " [-0.11388728 0.93971088 -0.25668156 0.19516077]\n", - " [-0.97637037 -0.12153025 0.10058223 0.1476974 ]]\n", - "This is the 17 run out of 81 run.\n", - "The code has run 24.3054 seconds.\n", - "Estimated remaining time: 91.5025 seconds\n", - "=======This is the 18 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 28.89390341 5.54930753 -82.02400255 -24.37747694]\n", - " [ 5.54930753 26.57497071 -12.60097464 -139.66811378]\n", - " [ -82.02400255 -12.60097464 240.84660087 59.23685769]\n", - " [ -24.37747694 -139.66811378 59.23685769 768.362867 ]]\n", - "Trace: 1064.6783419866704\n", - "Determinant: 154556.86878195836\n", - "Condition number: 1592.9075104447347\n", - "Minimal eigen value: 0.5033721886008624\n", - "Eigen values: [8.01825340e+02 2.60881801e+02 5.03372189e-01 1.46782923e+00]\n", - "Eigen vectors: [[ 0.0441257 -0.3192171 -0.76637353 0.55572023]\n", - " [ 0.17807683 0.01411373 0.58045733 0.79445499]\n", - " [-0.11356021 0.93979995 -0.25600742 0.19580686]\n", - " [-0.97644541 -0.12114987 0.10100051 0.14722759]]\n", - "This is the 18 run out of 81 run.\n", - "The code has run 25.9627 seconds.\n", - "Estimated remaining time: 90.8694 seconds\n", - "=======This is the 19 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.28334671 5.70699409 -92.97484844 -25.80031677]\n", - " [ 5.70699409 29.30507497 -13.33636445 -156.70839321]\n", - " [ -92.97484844 -13.33636445 275.50168257 64.30324325]\n", - " [ -25.80031677 -156.70839321 64.30324325 872.63443311]]\n", - "Trace: 1209.7245373595783\n", - "Determinant: 188680.91170914198\n", - "Condition number: 1858.616320831994\n", - "Minimal eigen value: 0.48913747009914166\n", - "Eigen values: [9.09118885e+02 2.98695996e+02 4.89137470e-01 1.42051869e+00]\n", - "Eigen vectors: [[ 0.04146304 -0.31695699 -0.77712411 0.54212287]\n", - " [ 0.17602088 0.01408456 0.56560106 0.80555181]\n", - " [-0.10898703 0.94123169 -0.25813549 0.18860223]\n", - " [-0.97745552 -0.1158568 0.09767104 0.14703155]]\n", - "This is the 19 run out of 81 run.\n", - "The code has run 27.1719 seconds.\n", - "Estimated remaining time: 88.6661 seconds\n", - "=======This is the 20 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.25421656 6.68459112 -88.61909992 -30.60138864]\n", - " [ 6.68459112 31.36595547 -15.81778278 -164.86906971]\n", - " [ -88.61909992 -15.81778278 258.85557126 76.34263383]\n", - " [ -30.60138864 -164.86906971 76.34263383 899.77659826]]\n", - "Trace: 1221.2523415411317\n", - "Determinant: 184979.52586245077\n", - "Condition number: 1863.3156848542435\n", - "Minimal eigen value: 0.5049297243111703\n", - "Eigen values: [9.40843475e+02 2.78505828e+02 5.04929724e-01 1.39810909e+00]\n", - "Eigen vectors: [[ 0.04575816 -0.32029107 -0.77638665 0.54087299]\n", - " [ 0.17924367 0.01591336 0.56497666 0.80524521]\n", - " [-0.11929887 0.93864685 -0.26107427 0.19118079]\n", - " [-0.97547203 -0.12689556 0.09932456 0.14995489]]\n", - "This is the 20 run out of 81 run.\n", - "The code has run 28.4345 seconds.\n", - "Estimated remaining time: 86.7251 seconds\n", - "=======This is the 21 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.52158843 6.48481199 -86.0456274 -28.87532344]\n", - " [ 6.48481199 29.86381946 -14.92566842 -154.8692371 ]\n", - " [ -86.0456274 -14.92566842 250.53865847 70.10910741]\n", - " [ -28.87532344 -154.8692371 70.10910741 837.96870419]]\n", - "Trace: 1148.8927705492695\n", - "Determinant: 190348.6673254422\n", - "Condition number: 1618.3103657413333\n", - "Minimal eigen value: 0.5417343666379524\n", - "Eigen values: [8.76694341e+02 2.70173245e+02 5.41734367e-01 1.48344999e+00]\n", - "Eigen vectors: [[ 0.04685373 -0.32103947 -0.78212185 0.53199981]\n", - " [ 0.18079203 0.01551727 0.55613272 0.81104245]\n", - " [-0.11992293 0.93825512 -0.26345825 0.18943485]\n", - " [-0.97505767 -0.12794607 0.09793648 0.15264595]]\n", - "This is the 21 run out of 81 run.\n", - "The code has run 29.9276 seconds.\n", - "Estimated remaining time: 85.5075 seconds\n", - "=======This is the 22 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.00498916 6.16520704 -84.49307008 -27.0509224 ]\n", - " [ 6.16520704 28.46235364 -13.98273248 -147.49642699]\n", - " [ -84.49307008 -13.98273248 246.19200008 65.05640169]\n", - " [ -27.0509224 -147.49642699 65.05640169 800.46076995]]\n", - "Trace: 1105.1201128212274\n", - "Determinant: 191117.7507506111\n", - "Condition number: 1503.7114051925557\n", - "Minimal eigen value: 0.5565662145256329\n", - "Eigen values: [8.36914965e+02 2.66106715e+02 5.56566215e-01 1.54186738e+00]\n", - "Eigen vectors: [[ 0.04646642 -0.32098546 -0.77977639 0.53549788]\n", - " [ 0.18034719 0.01490153 0.55988332 0.8085688 ]\n", - " [-0.11833093 0.93849369 -0.26236422 0.19076794]\n", - " [-0.97535304 -0.1263957 0.09820625 0.1518753 ]]\n", - "This is the 22 run out of 81 run.\n", - "The code has run 31.2750 seconds.\n", - "Estimated remaining time: 83.8738 seconds\n", - "=======This is the 23 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.66284896 5.98404272 -83.57738856 -26.09248409]\n", - " [ 5.98404272 27.73909098 -13.48736761 -144.05292682]\n", - " [ -83.57738856 -13.48736761 243.90609069 62.63421243]\n", - " [ -26.09248409 -144.05292682 62.63421243 784.67652325]]\n", - "Trace: 1085.9845538731117\n", - "Determinant: 188639.4615552581\n", - "Condition number: 1474.5971888051029\n", - "Minimal eigen value: 0.5560520631753989\n", - "Eigen values: [8.19952809e+02 2.63907946e+02 5.56052063e-01 1.56774623e+00]\n", - "Eigen vectors: [[ 0.04594253 -0.320668 -0.77534136 0.54213199]\n", - " [ 0.17974722 0.01448798 0.56676229 0.80390394]\n", - " [-0.11695823 0.93879944 -0.26038706 0.19280809]\n", - " [-0.97565414 -0.12497097 0.09912039 0.15052047]]\n", - "This is the 23 run out of 81 run.\n", - "The code has run 32.5600 seconds.\n", - "Estimated remaining time: 82.1079 seconds\n", - "=======This is the 24 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.43853337 5.88400885 -83.02857374 -25.57526247]\n", - " [ 5.88400885 27.33885875 -13.22004406 -142.29843404]\n", - " [ -83.02857374 -13.22004406 242.65971528 61.40277918]\n", - " [ -25.57526247 -142.29843404 61.40277918 777.31974084]]\n", - "Trace: 1076.7568482418158\n", - "Determinant: 184270.03331003775\n", - "Condition number: 1482.9771752629497\n", - "Minimal eigen value: 0.5475192742598249\n", - "Eigen values: [8.11958587e+02 2.62672744e+02 5.47519274e-01 1.57799787e+00]\n", - "Eigen vectors: [[ 0.04555702 -0.32032998 -0.77104717 0.54845193]\n", - " [ 0.17927984 0.01423111 0.57328314 0.79937641]\n", - " [-0.11606112 0.93904462 -0.25849401 0.19469431]\n", - " [-0.97586532 -0.12402173 0.1000677 0.1493049 ]]\n", - "This is the 24 run out of 81 run.\n", - "The code has run 34.0180 seconds.\n", - "Estimated remaining time: 80.7929 seconds\n", - "=======This is the 25 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.28420938 5.81041218 -82.68034035 -25.22398541]\n", - " [ 5.81041218 27.0727506 -13.03848831 -141.24090865]\n", - " [ -82.68034035 -13.03848831 241.93376245 60.63528154]\n", - " [ -25.22398541 -141.24090865 60.63528154 773.29131813]]\n", - "Trace: 1071.5820405595707\n", - "Determinant: 178758.17326418444\n", - "Condition number: 1505.8326274881686\n", - "Minimal eigen value: 0.5362591366706398\n", - "Eigen values: [8.07516505e+02 2.61953424e+02 5.36259137e-01 1.57585305e+00]\n", - "Eigen vectors: [[ 0.0452283 -0.32004858 -0.76665675 0.55476188]\n", - " [ 0.17890164 0.01407456 0.57977992 0.79476497]\n", - " [-0.11537487 0.93924098 -0.25666067 0.19657139]\n", - " [-0.97603137 -0.12327688 0.10108403 0.14814718]]\n", - "This is the 25 run out of 81 run.\n", - "The code has run 35.5430 seconds.\n", - "Estimated remaining time: 79.6162 seconds\n", - "=======This is the 26 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.16395684 5.73453838 -82.43471072 -24.92041098]\n", - " [ 5.73453838 26.86576638 -12.88158736 -140.5106945 ]\n", - " [ -82.43471072 -12.88158736 241.46714317 60.05450537]\n", - " [ -24.92041098 -140.5106945 60.05450537 770.79396436]]\n", - "Trace: 1068.2908307463383\n", - "Determinant: 172475.9415463406\n", - "Condition number: 1530.546651700559\n", - "Minimal eigen value: 0.5257610786968038\n", - "Eigen values: [8.04701859e+02 2.61504282e+02 5.25761079e-01 1.55892881e+00]\n", - "Eigen vectors: [[ 0.04488407 -0.31981491 -0.76243559 0.56071009]\n", - " [ 0.1785717 0.01400365 0.5858805 0.79035441]\n", - " [-0.11473807 0.93941548 -0.25497866 0.19829175]\n", - " [-0.97618274 -0.1225597 0.10208767 0.14705266]]\n", - "This is the 26 run out of 81 run.\n", - "The code has run 37.2269 seconds.\n", - "Estimated remaining time: 78.7491 seconds\n", - "=======This is the 27 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 29.06110646 5.65571543 -82.24742429 -24.65257981]\n", - " [ 5.65571543 26.70378654 -12.74316009 -140.00114925]\n", - " [ -82.24742429 -12.74316009 241.14514372 59.60445848]\n", - " [ -24.65257981 -140.00114925 59.60445848 769.22388402]]\n", - "Trace: 1066.1339207407643\n", - "Determinant: 166109.9551245936\n", - "Condition number: 1551.1500791407132\n", - "Minimal eigen value: 0.5176066466705693\n", - "Eigen values: [8.02885591e+02 2.61200453e+02 5.17606647e-01 1.53027057e+00]\n", - "Eigen vectors: [[ 0.04454043 -0.31960751 -0.75938699 0.56497663]\n", - " [ 0.1782985 0.01400273 0.59021965 0.78718126]\n", - " [-0.11415988 0.93957357 -0.25377291 0.19942001]\n", - " [-0.9763162 -0.12188714 0.10281766 0.1462147 ]]\n", - "This is the 27 run out of 81 run.\n", - "The code has run 39.0597 seconds.\n", - "Estimated remaining time: 78.1194 seconds\n", - "=======This is the 28 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.31083221 5.87264848 -99.29628105 -26.7996225 ]\n", - " [ 5.87264848 30.93392006 -13.85285176 -166.5344064 ]\n", - " [ -99.29628105 -13.85285176 295.21107649 67.41893929]\n", - " [ -26.7996225 -166.5344064 67.41893929 931.90988887]]\n", - "Trace: 1292.3657176279999\n", - "Determinant: 219116.55598781718\n", - "Condition number: 1975.135565776819\n", - "Minimal eigen value: 0.4912314715447589\n", - "Eigen values: [9.70248750e+02 3.20189921e+02 4.91231472e-01 1.43581425e+00]\n", - "Eigen vectors: [[ 0.040473 -0.31614659 -0.77750088 0.54213066]\n", - " [ 0.17519902 0.01401412 0.56535675 0.80590362]\n", - " [-0.10721007 0.94175271 -0.25765221 0.18767837]\n", - " [-0.97784111 -0.11382781 0.09736251 0.14625502]]\n", - "This is the 28 run out of 81 run.\n", - "The code has run 40.5453 seconds.\n", - "Estimated remaining time: 76.7464 seconds\n", - "=======This is the 29 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.70281635 7.40014384 -92.49042399 -34.3012973 ]\n", - " [ 7.40014384 34.15404584 -17.73006791 -179.28546343]\n", - " [ -92.49042399 -17.73006791 269.20152757 86.23048708]\n", - " [ -34.3012973 -179.28546343 86.23048708 974.3195219 ]]\n", - "Trace: 1310.3779116577584\n", - "Determinant: 212667.62255371246\n", - "Condition number: 1980.140754134136\n", - "Minimal eigen value: 0.5150288667373343\n", - "Eigen values: [1.01982965e+03 2.88630420e+02 5.15028867e-01 1.40281393e+00]\n", - "Eigen vectors: [[ 0.04665874 -0.32111655 -0.77619183 0.54058613]\n", - " [ 0.17988432 0.01666262 0.56474405 0.80525036]\n", - " [-0.12200129 0.93797321 -0.26196245 0.19156621]\n", - " [-0.97497707 -0.12966406 0.09983027 0.15046883]]\n", - "This is the 29 run out of 81 run.\n", - "The code has run 41.7999 seconds.\n", - "Estimated remaining time: 74.9516 seconds\n", - "=======This is the 30 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.55808488 7.08798895 -88.46937314 -31.60432037]\n", - " [ 7.08798895 31.80695831 -16.33613916 -163.66072489]\n", - " [ -88.46937314 -16.33613916 256.20635122 76.49060178]\n", - " [ -31.60432037 -163.66072489 76.49060178 877.74468706]]\n", - "Trace: 1197.3160814605867\n", - "Determinant: 221799.0883115981\n", - "Condition number: 1608.3235339216812\n", - "Minimal eigen value: 0.5717813344410629\n", - "Eigen values: [9.19609376e+02 2.75604399e+02 5.71781334e-01 1.53052436e+00]\n", - "Eigen vectors: [[ 0.04840947 -0.32227626 -0.78433046 0.52784492]\n", - " [ 0.18225901 0.01616051 0.55206779 0.81347504]\n", - " [-0.12327976 0.93731565 -0.26545069 0.18914917]\n", - " [-0.97428963 -0.13159113 0.09789184 0.15446904]]\n", - "This is the 30 run out of 81 run.\n", - "The code has run 43.3618 seconds.\n", - "Estimated remaining time: 73.7150 seconds\n", - "=======This is the 31 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.75089853 6.58860624 -86.04350238 -28.75369385]\n", - " [ 6.58860624 29.61716799 -14.86280184 -152.14070917]\n", - " [ -86.04350238 -14.86280184 249.41469763 68.59574941]\n", - " [ -28.75369385 -152.14070917 68.59574941 819.13854015]]\n", - "Trace: 1128.9213042948234\n", - "Determinant: 223199.08519825267\n", - "Condition number: 1439.2001464010648\n", - "Minimal eigen value: 0.5957771989533247\n", - "Eigen values: [8.57442632e+02 2.69260221e+02 5.95777199e-01 1.62267394e+00]\n", - "Eigen vectors: [[ 0.04796256 -0.32221079 -0.78113541 0.53264179]\n", - " [ 0.18168784 0.0152626 0.55724216 0.81008503]\n", - " [-0.12118885 0.93763158 -0.26392306 0.19106254]\n", - " [-0.97468066 -0.12959272 0.09825105 0.15346033]]\n", - "This is the 31 run out of 81 run.\n", - "The code has run 44.7633 seconds.\n", - "Estimated remaining time: 72.1989 seconds\n", - "=======This is the 32 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.21630446 6.30553697 -84.61274999 -27.25613395]\n", - " [ 6.30553697 28.48707009 -14.0887942 -146.76024017]\n", - " [ -84.61274999 -14.0887942 245.84296418 64.81107863]\n", - " [ -27.25613395 -146.76024017 64.81107863 794.47565471]]\n", - "Trace: 1099.0219934376676\n", - "Determinant: 219046.7635612996\n", - "Condition number: 1395.1046514756501\n", - "Minimal eigen value: 0.5956039117841725\n", - "Eigen values: [8.30929788e+02 2.65831624e+02 5.95603912e-01 1.66497734e+00]\n", - "Eigen vectors: [[ 0.0472128 -0.32173526 -0.77481095 0.54214884]\n", - " [ 0.18080651 0.01462813 0.56710945 0.80341888]\n", - " [-0.11919796 0.93808696 -0.26104596 0.19400955]\n", - " [-0.97512656 -0.12753546 0.09954834 0.15150258]]\n", - "This is the 32 run out of 81 run.\n", - "The code has run 46.1885 seconds.\n", - "Estimated remaining time: 70.7261 seconds\n", - "=======This is the 33 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.86581136 6.14923404 -83.75522684 -26.44797517]\n", - " [ 6.14923404 27.86170723 -13.67110116 -144.0188452 ]\n", - " [ -83.75522684 -13.67110116 243.8955026 62.88696419]\n", - " [ -26.44797517 -144.0188452 62.88696419 782.9806822 ]]\n", - "Trace: 1084.6037033913724\n", - "Determinant: 211683.9981405787\n", - "Condition number: 1404.9139458158472\n", - "Minimal eigen value: 0.582550713260004\n", - "Eigen values: [8.18433621e+02 2.63905156e+02 5.82550713e-01 1.68237557e+00]\n", - "Eigen vectors: [[ 0.04663765 -0.32121979 -0.76862987 0.55122672]\n", - " [ 0.18009867 0.01422632 0.57647713 0.79689159]\n", - " [-0.11785344 0.93846161 -0.25826985 0.19671566]\n", - " [-0.9754486 -0.12611605 0.10089067 0.14971924]]\n", - "This is the 33 run out of 81 run.\n", - "The code has run 47.6555 seconds.\n", - "Estimated remaining time: 69.3172 seconds\n", - "=======This is the 34 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.62468012 6.03423925 -83.21111217 -25.89910476]\n", - " [ 6.03423925 27.44591324 -13.38742029 -142.36646178]\n", - " [ -83.21111217 -13.38742029 242.7612013 61.68774912]\n", - " [ -25.89910476 -142.36646178 61.68774912 776.68627174]]\n", - "Trace: 1076.5180664020631\n", - "Determinant: 202415.6569987658\n", - "Condition number: 1436.3383702542444\n", - "Minimal eigen value: 0.5649710487513734\n", - "Eigen values: [8.11489595e+02 2.62783393e+02 5.64971049e-01 1.68010737e+00]\n", - "Eigen vectors: [[ 0.04613685 -0.32078757 -0.76226121 0.56028973]\n", - " [ 0.17951788 0.01397906 0.58580552 0.79019606]\n", - " [-0.11680698 0.93876493 -0.25557325 0.19939622]\n", - " [-0.97570531 -0.12498131 0.10233312 0.1480093 ]]\n", - "This is the 34 run out of 81 run.\n", - "The code has run 49.0555 seconds.\n", - "Estimated remaining time: 67.8120 seconds\n", - "=======This is the 35 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.43678553 5.91568643 -82.82731586 -25.4247697 ]\n", - " [ 5.91568643 27.12250039 -13.14226256 -141.22550217]\n", - " [ -82.82731586 -13.14226256 242.03210867 60.78028635]\n", - " [ -25.4247697 -141.22550217 60.78028635 772.78415647]]\n", - "Trace: 1071.375551053092\n", - "Determinant: 191937.53934280388\n", - "Condition number: 1471.700117663225\n", - "Minimal eigen value: 0.5484060967518005\n", - "Eigen values: [8.07089317e+02 2.62083213e+02 5.48406097e-01 1.65461457e+00]\n", - "Eigen vectors: [[ 0.04560588 -0.32042744 -0.75599497 0.56896218]\n", - " [ 0.17900731 0.01386541 0.59469481 0.78364674]\n", - " [-0.11582536 0.93903609 -0.25305826 0.20188421]\n", - " [-0.97594107 -0.12387588 0.10378441 0.14636459]]\n", - "This is the 35 run out of 81 run.\n", - "The code has run 50.5967 seconds.\n", - "Estimated remaining time: 66.4985 seconds\n", - "=======This is the 36 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 29.27608182 5.79252557 -82.53468084 -25.00628352]\n", - " [ 5.79252557 26.86940689 -12.92596997 -140.42933771]\n", - " [ -82.53468084 -12.92596997 241.52898456 60.07708813]\n", - " [ -25.00628352 -140.42933771 60.07708813 770.33090596]]\n", - "Trace: 1068.0053792314388\n", - "Determinant: 181450.69474203617\n", - "Condition number: 1501.9556383407423\n", - "Minimal eigen value: 0.5354684063529392\n", - "Eigen values: [8.04249792e+02 2.61609546e+02 5.35468406e-01 1.61057235e+00]\n", - "Eigen vectors: [[ 0.04507237 -0.32010675 -0.75122833 0.57546168]\n", - " [ 0.17858271 0.01386172 0.60130267 0.77868554]\n", - " [-0.11492843 0.93928256 -0.25117499 0.20359482]\n", - " [-0.97614966 -0.12283237 0.10489146 0.14505804]]\n", - "This is the 36 run out of 81 run.\n", - "The code has run 52.1867 seconds.\n", - "Estimated remaining time: 65.2334 seconds\n", - "=======This is the 37 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.78887004 6.07511496 -107.02247647 -28.02099618]\n", - " [ 6.07511496 32.92473073 -14.48411404 -178.54397808]\n", - " [-107.02247647 -14.48411404 319.30033573 71.22701223]\n", - " [ -28.02099618 -178.54397808 71.22701223 1004.35766813]]\n", - "Trace: 1393.3716046215663\n", - "Determinant: 259404.79249873152\n", - "Condition number: 2117.757640376852\n", - "Minimal eigen value: 0.49343292348975076\n", - "Eigen values: [1.04497134e+03 3.46454720e+02 4.93432923e-01 1.45210830e+00]\n", - "Eigen vectors: [[ 0.0394186 -0.31528763 -0.77789543 0.54214258]\n", - " [ 0.17432484 0.0139462 0.56510132 0.80627343]\n", - " [-0.10531109 0.94230095 -0.25714335 0.18669704]\n", - " [-0.9782467 -0.11166076 0.09703861 0.14542622]]\n", - "This is the 37 run out of 81 run.\n", - "The code has run 53.4048 seconds.\n", - "Estimated remaining time: 63.5084 seconds\n", - "=======This is the 38 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.47332719 8.27470828 -97.22204231 -38.8234079 ]\n", - " [ 8.27470828 37.56171186 -20.06730529 -196.9055002 ]\n", - " [ -97.22204231 -20.06730529 281.84658528 98.31564105]\n", - " [ -38.8234079 -196.9055002 98.31564105 1065.42753969]]\n", - "Trace: 1419.3091640169005\n", - "Determinant: 248947.0165905633\n", - "Condition number: 2121.25846562084\n", - "Minimal eigen value: 0.5262832514343758\n", - "Eigen values: [1.11638280e+03 3.00992350e+02 5.26283251e-01 1.40772810e+00]\n", - "Eigen vectors: [[ 0.04755314 -0.32206577 -0.77580529 0.54049837]\n", - " [ 0.18054388 0.0174534 0.56472719 0.80509781]\n", - " [-0.1246826 0.9372505 -0.26292016 0.19206442]\n", - " [-0.9744726 -0.13240286 0.10041086 0.15096452]]\n", - "This is the 38 run out of 81 run.\n", - "The code has run 54.7050 seconds.\n", - "Estimated remaining time: 61.9030 seconds\n", - "=======This is the 39 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.82491387 7.82520522 -91.43172903 -34.93976104]\n", - " [ 7.82520522 34.18190578 -18.06004783 -174.4058766 ]\n", - " [ -91.43172903 -18.06004783 263.13353122 84.29020596]\n", - " [ -34.93976104 -174.4058766 84.29020596 926.35977707]]\n", - "Trace: 1256.5001279448131\n", - "Determinant: 263402.56815271225\n", - "Condition number: 1602.2755769906482\n", - "Minimal eigen value: 0.6066922513316659\n", - "Eigen values: [9.72088177e+02 2.82222721e+02 6.06692251e-01 1.58253717e+00]\n", - "Eigen vectors: [[ 0.05009398 -0.32372401 -0.78629932 0.52385755]\n", - " [ 0.18387427 0.01689333 0.54820737 0.81570432]\n", - " [-0.12688016 0.93624622 -0.26759042 0.18904978]\n", - " [-0.97343838 -0.13550056 0.09796643 0.15639663]]\n", - "This is the 39 run out of 81 run.\n", - "The code has run 56.0687 seconds.\n", - "Estimated remaining time: 60.3817 seconds\n", - "=======This is the 40 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.66256554 7.10609412 -87.93847517 -30.83485889]\n", - " [ 7.10609412 31.02860775 -15.93844213 -157.81705407]\n", - " [ -87.93847517 -15.93844213 253.35355014 72.92161876]\n", - " [ -30.83485889 -157.81705407 72.92161876 841.966926 ]]\n", - "Trace: 1158.0116494264157\n", - "Determinant: 265767.57867752825\n", - "Condition number: 1373.6079632065182\n", - "Minimal eigen value: 0.6425068540890994\n", - "Eigen values: [8.82552531e+02 2.73100438e+02 6.42506854e-01 1.71617383e+00]\n", - "Eigen vectors: [[ 0.04968492 -0.32366053 -0.78237349 0.52978014]\n", - " [ 0.18324022 0.01570183 0.55464809 0.81150599]\n", - " [-0.12445593 0.9366119 -0.26566125 0.19155411]\n", - " [-0.97389176 -0.13324966 0.09839367 0.1552355 ]]\n", - "This is the 40 run out of 81 run.\n", - "The code has run 57.5284 seconds.\n", - "Estimated remaining time: 58.9666 seconds\n", - "=======This is the 41 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.89275008 6.69847439 -85.87819175 -28.67837266]\n", - " [ 6.69847439 29.40126677 -14.82387115 -150.06917871]\n", - " [ -85.87819175 -14.82387115 248.210254 67.4716929 ]\n", - " [ -28.67837266 -150.06917871 67.4716929 806.45237096]]\n", - "Trace: 1114.9566418120737\n", - "Determinant: 259295.44468122924\n", - "Condition number: 1312.5340626707155\n", - "Minimal eigen value: 0.6433044742163505\n", - "Eigen values: [8.44359035e+02 2.68174245e+02 6.43304474e-01 1.78005776e+00]\n", - "Eigen vectors: [[ 0.04871693 -0.32300943 -0.77416724 0.5421777 ]\n", - " [ 0.18206305 0.0148089 0.56753176 0.80283338]\n", - " [-0.12183745 0.93722982 -0.26183895 0.19543866]\n", - " [-0.97449235 -0.13055984 0.10006575 0.15266182]]\n", - "This is the 41 run out of 81 run.\n", - "The code has run 58.9428 seconds.\n", - "Estimated remaining time: 57.5051 seconds\n", - "=======This is the 42 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.38804002 6.47339817 -84.6433584 -27.51462402]\n", - " [ 6.47339817 28.50074425 -14.22239317 -146.12156994]\n", - " [ -84.6433584 -14.22239317 245.40590932 64.70096808]\n", - " [ -27.51462402 -146.12156994 64.70096808 789.89961054]]\n", - "Trace: 1094.1943041272043\n", - "Determinant: 247750.52298677372\n", - "Condition number: 1322.1585481935238\n", - "Minimal eigen value: 0.6250051674349029\n", - "Eigen values: [8.26355925e+02 2.65405979e+02 6.25005167e-01 1.80739520e+00]\n", - "Eigen vectors: [[ 0.04793455 -0.32228847 -0.76606069 0.55406086]\n", - " [ 0.18108178 0.01423008 0.57979722 0.79425567]\n", - " [-0.11999735 0.93775464 -0.2581166 0.19897912]\n", - " [-0.97494221 -0.12862302 0.10179398 0.15027242]]\n", - "This is the 42 run out of 81 run.\n", - "The code has run 60.5309 seconds.\n", - "Estimated remaining time: 56.2073 seconds\n", - "=======This is the 43 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.04081103 6.30780567 -83.85983328 -26.72425063]\n", - " [ 6.30780567 27.90200091 -13.81389272 -143.74213782]\n", - " [ -83.85983328 -13.81389272 243.77251546 62.97409839]\n", - " [ -26.72425063 -143.74213782 62.97409839 780.83565947]]\n", - "Trace: 1082.5509868629858\n", - "Determinant: 233249.44652323253\n", - "Condition number: 1361.1345665049146\n", - "Minimal eigen value: 0.5997577130991854\n", - "Eigen values: [8.16350955e+02 2.63794338e+02 5.99757713e-01 1.80593621e+00]\n", - "Eigen vectors: [[ 0.04723544 -0.32167879 -0.7576378 0.5659298 ]\n", - " [ 0.18026288 0.01386971 0.5920096 0.78539006]\n", - " [-0.11853461 0.93818523 -0.25448998 0.20246697]\n", - " [-0.97530695 -0.12703884 0.10365545 0.14796293]]\n", - "This is the 43 run out of 81 run.\n", - "The code has run 61.9741 seconds.\n", - "Estimated remaining time: 54.7679 seconds\n", - "=======This is the 44 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.77024282 6.13708961 -83.3071666 -26.04120816]\n", - " [ 6.13708961 27.4362864 -13.46086559 -142.09915598]\n", - " [ -83.3071666 -13.46086559 242.72262207 61.667352 ]\n", - " [ -26.04120816 -142.09915598 61.667352 775.21661348]]\n", - "Trace: 1075.1457647738398\n", - "Determinant: 216995.60713203996\n", - "Condition number: 1407.0534066169535\n", - "Minimal eigen value: 0.5756785168357853\n", - "Eigen values: [8.10010418e+02 2.62788852e+02 5.75678517e-01 1.77081575e+00]\n", - "Eigen vectors: [[ 0.04648282 -0.32116876 -0.74915178 0.57746133]\n", - " [ 0.17953631 0.01370117 0.60382111 0.77651727]\n", - " [-0.11714427 0.93857304 -0.25105296 0.20574324]\n", - " [-0.97564506 -0.12547332 0.10556558 0.145702 ]]\n", - "This is the 44 run out of 81 run.\n", - "The code has run 63.5075 seconds.\n", - "Estimated remaining time: 53.4041 seconds\n", - "=======This is the 45 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 29.53882947 5.95973797 -82.88577216 -25.43858804]\n", - " [ 5.95973797 27.07183176 -13.14940425 -140.95267917]\n", - " [ -82.88577216 -13.14940425 241.99812336 60.65474656]\n", - " [ -25.43858804 -140.95267917 60.65474656 771.68393275]]\n", - "Trace: 1070.2927173390817\n", - "Determinant: 200944.16798299024\n", - "Condition number: 1447.57068462181\n", - "Minimal eigen value: 0.5567387556544536\n", - "Eigen values: [8.05918702e+02 2.62108634e+02 5.56738756e-01 1.70864323e+00]\n", - "Eigen vectors: [[ 0.04572056 -0.32071284 -0.7423529 0.58648536]\n", - " [ 0.17892883 0.01369196 0.61299069 0.76944098]\n", - " [-0.11586404 0.93892699 -0.24836575 0.20810115]\n", - " [-0.9759455 -0.12398352 0.10709366 0.14383813]]\n", - "This is the 45 run out of 81 run.\n", - "The code has run 65.0187 seconds.\n", - "Estimated remaining time: 52.0149 seconds\n", - "=======This is the 46 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 39.7174602 6.31439353 -116.15343469 -29.4644378 ]\n", - " [ 6.31439353 35.27750697 -15.23015127 -192.73710824]\n", - " [-116.15343469 -15.23015127 347.76946028 75.72746206]\n", - " [ -29.4644378 -192.73710824 75.72746206 1089.97777089]]\n", - "Trace: 1512.7421983402073\n", - "Determinant: 311399.09067781235\n", - "Condition number: 2286.542819651653\n", - "Minimal eigen value: 0.4956344365813532\n", - "Eigen values: [1.13328936e+03 3.77488576e+02 4.95634437e-01 1.46862610e+00]\n", - "Eigen vectors: [[ 0.03835004 -0.31442127 -0.77828842 0.54215835]\n", - " [ 0.17344009 0.01388478 0.56484731 0.80664321]\n", - " [-0.10337977 0.94284961 -0.25663367 0.18570512]\n", - " [-0.97865236 -0.10945814 0.09671514 0.14458445]]\n", - "This is the 46 run out of 81 run.\n", - "The code has run 66.1612 seconds.\n", - "Estimated remaining time: 50.3400 seconds\n", - "=======This is the 47 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.5657491 9.30828444 -102.81395486 -44.16772042]\n", - " [ 9.30828444 41.58895351 -22.82949492 -217.72918002]\n", - " [-102.81395486 -22.82949492 296.7907444 112.59809575]\n", - " [ -44.16772042 -217.72918002 112.59809575 1173.10065161]]\n", - "Trace: 1548.0460986209075\n", - "Determinant: 295280.74015585403\n", - "Condition number: 2286.0181487108425\n", - "Minimal eigen value: 0.5382748263648286\n", - "Eigen values: [1.23050602e+03 3.15589182e+02 5.38274826e-01 1.41261951e+00]\n", - "Eigen vectors: [[ 0.04839818 -0.32310756 -0.77521185 0.54065303]\n", - " [ 0.18118963 0.01825265 0.56496884 0.80476541]\n", - " [-0.12721352 0.93650897 -0.26390515 0.19267003]\n", - " [-0.97398391 -0.13497885 0.10104885 0.15141065]]\n", - "This is the 47 run out of 81 run.\n", - "The code has run 67.3234 seconds.\n", - "Estimated remaining time: 48.7020 seconds\n", - "=======This is the 48 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.3220754 8.6964608 -94.93269507 -38.88164545]\n", - " [ 8.6964608 36.98866185 -20.09739441 -187.10469208]\n", - " [ -94.93269507 -20.09739441 271.32019844 93.50791985]\n", - " [ -38.88164545 -187.10469208 93.50791985 983.8139735 ]]\n", - "Trace: 1326.444909189725\n", - "Determinant: 317057.5521865532\n", - "Condition number: 1601.7324036106527\n", - "Minimal eigen value: 0.6456385390230688\n", - "Eigen values: [1.03414017e+03 2.90021762e+02 6.45638539e-01 1.63733921e+00]\n", - "Eigen vectors: [[ 0.05183111 -0.32535143 -0.78785307 0.52033406]\n", - " [ 0.18556983 0.01769387 0.5448494 0.81755116]\n", - " [-0.13055514 0.93508071 -0.26978738 0.18919354]\n", - " [-0.97253932 -0.13948996 0.09819083 0.15832998]]\n", - "This is the 48 run out of 81 run.\n", - "The code has run 68.7125 seconds.\n", - "Estimated remaining time: 47.2399 seconds\n", - "=======This is the 49 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.73999019 7.71767073 -90.17798848 -33.29441763]\n", - " [ 7.71767073 32.69667292 -17.20965341 -164.52546167]\n", - " [ -90.17798848 -17.20965341 258.00855769 78.03400986]\n", - " [ -33.29441763 -164.52546167 78.03400986 868.9459274 ]]\n", - "Trace: 1192.3911481973423\n", - "Determinant: 320838.015192606\n", - "Condition number: 1310.4792317939582\n", - "Minimal eigen value: 0.6961225904499246\n", - "Eigen values: [9.12254198e+02 2.77620993e+02 6.96122590e-01 1.81983460e+00]\n", - "Eigen vectors: [[ 0.05158354 -0.32531066 -0.78337796 0.52709685]\n", - " [ 0.18496272 0.01621672 0.55228293 0.81271728]\n", - " [-0.12802873 0.93545287 -0.26752463 0.1922684 ]\n", - " [-0.97300389 -0.13725128 0.09865653 0.15713815]]\n", - "This is the 49 run out of 81 run.\n", - "The code has run 70.4226 seconds.\n", - "Estimated remaining time: 45.9903 seconds\n", - "=======This is the 50 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.69218581 7.16285497 -87.37371372 -30.35920012]\n", - " [ 7.16285497 30.48168103 -15.69259823 -153.97974222]\n", - " [ -87.37371372 -15.69259823 251.00795977 70.61605418]\n", - " [ -30.35920012 -153.97974222 70.61605418 820.60667033]]\n", - "Trace: 1133.7884969451964\n", - "Determinant: 311236.03090905806\n", - "Condition number: 1231.0552044357423\n", - "Minimal eigen value: 0.6987885964935451\n", - "Eigen values: [8.60247339e+02 2.70931367e+02 6.98788596e-01 1.91100329e+00]\n", - "Eigen vectors: [[ 0.05042917 -0.32447447 -0.77341286 0.54222298]\n", - " [ 0.18349645 0.01503459 0.5680281 0.80215154]\n", - " [-0.12482559 0.93623603 -0.26275902 0.19707452]\n", - " [-0.97375794 -0.13398648 0.10066939 0.15397653]]\n", - "This is the 50 run out of 81 run.\n", - "The code has run 71.7874 seconds.\n", - "Estimated remaining time: 44.5082 seconds\n", - "=======This is the 51 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.00521934 6.85650123 -85.69296843 -28.77520902]\n", - " [ 6.85650123 29.25596982 -14.8739201 -148.60660828]\n", - " [ -85.69296843 -14.8739201 247.19093546 66.84479086]\n", - " [ -28.77520902 -148.60660828 66.84479086 798.07652584]]\n", - "Trace: 1105.528650449711\n", - "Determinant: 294005.94852919155\n", - "Condition number: 1238.6960115595953\n", - "Minimal eigen value: 0.6746854263913779\n", - "Eigen values: [8.35730147e+02 2.67172188e+02 6.74685426e-01 1.95162994e+00]\n", - "Eigen vectors: [[ 0.0494343 -0.3235256 -0.76345123 0.55680307]\n", - " [ 0.1822192 0.01424747 0.58308316 0.79158525]\n", - " [-0.12246692 0.93692714 -0.25806772 0.20142105]\n", - " [-0.97434812 -0.13151324 0.10274873 0.15097251]]\n", - "This is the 51 run out of 81 run.\n", - "The code has run 73.2949 seconds.\n", - "Estimated remaining time: 43.1147 seconds\n", - "=======This is the 52 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.5326021 6.63111144 -84.62650368 -27.69942302]\n", - " [ 6.63111144 28.44101361 -14.31790559 -145.36793678]\n", - " [ -84.62650368 -14.31790559 244.96770492 64.49432934]\n", - " [ -27.69942302 -145.36793678 64.49432934 785.73948133]]\n", - "Trace: 1089.6808019535226\n", - "Determinant: 272410.99410904915\n", - "Condition number: 1283.5532630981627\n", - "Minimal eigen value: 0.6404904869131023\n", - "Eigen values: [8.22103654e+02 2.64984273e+02 6.40490487e-01 1.95238413e+00]\n", - "Eigen vectors: [[ 0.04851718 -0.32271544 -0.7530089 0.57138291]\n", - " [ 0.18113193 0.01375058 0.59808001 0.78057827]\n", - " [-0.12054473 0.93750324 -0.25348335 0.20567651]\n", - " [-0.97483654 -0.12943468 0.10499566 0.14804156]]\n", - "This is the 52 run out of 81 run.\n", - "The code has run 74.7462 seconds.\n", - "Estimated remaining time: 41.6854 seconds\n", - "=======This is the 53 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.16432871 6.39874791 -83.87426292 -26.76972632]\n", - " [ 6.39874791 27.80712441 -13.83739643 -143.13165594]\n", - " [ -83.87426292 -13.83739643 243.53868336 62.71570231]\n", - " [ -26.76972632 -143.13165594 62.71570231 778.0913354 ]]\n", - "Trace: 1079.601471888402\n", - "Determinant: 248413.1467302102\n", - "Condition number: 1339.1644113924633\n", - "Minimal eigen value: 0.6074436903249106\n", - "Eigen values: [8.13466972e+02 2.63620058e+02 6.07443690e-01 1.90699772e+00]\n", - "Eigen vectors: [[ 0.04751176 -0.32203464 -0.74224154 0.58575918]\n", - " [ 0.18015667 0.01351365 0.61279354 0.76931466]\n", - " [-0.11868894 0.93802677 -0.24907421 0.20971589]\n", - " [-0.97529439 -0.12734541 0.10734809 0.14512199]]\n", - "This is the 53 run out of 81 run.\n", - "The code has run 76.1592 seconds.\n", - "Estimated remaining time: 40.2351 seconds\n", - "=======This is the 54 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 29.84934945 6.15735264 -83.3006983 -25.94949342]\n", - " [ 6.15735264 27.31106116 -13.41346297 -141.57117361]\n", - " [ -83.3006983 -13.41346297 242.55256015 61.33743382]\n", - " [ -25.94949342 -141.57117361 61.33743382 773.28296441]]\n", - "Trace: 1072.9959351710581\n", - "Determinant: 225036.58533753204\n", - "Condition number: 1389.9708943774162\n", - "Minimal eigen value: 0.5812303281681005\n", - "Eigen values: [8.07893239e+02 2.62697169e+02 5.81230328e-01 1.82429680e+00]\n", - "Eigen vectors: [[ 0.04648384 -0.32142336 -0.73317849 0.59747433]\n", - " [ 0.17933613 0.01349496 0.6246889 0.75988172]\n", - " [-0.11696451 0.93850693 -0.24548481 0.21274692]\n", - " [-0.97570339 -0.12533816 0.10931739 0.14262871]]\n", - "This is the 54 run out of 81 run.\n", - "The code has run 77.5789 seconds.\n", - "Estimated remaining time: 38.7895 seconds\n", - "=======This is the 55 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 43.09660269 6.59048419 -126.68915571 -31.12994736]\n", - " [ 6.59048419 37.99224879 -16.09096346 -209.11379689]\n", - " [-126.68915571 -16.09096346 380.61845015 80.9202888 ]\n", - " [ -31.12994736 -209.11379689 80.9202888 1188.77019715]]\n", - "Trace: 1650.4774987836786\n", - "Determinant: 377289.9144015313\n", - "Condition number: 2481.533158401581\n", - "Minimal eigen value: 0.4977587555583983\n", - "Eigen values: [1.23520486e+03 4.13290103e+02 4.97758756e-01 1.48478063e+00]\n", - "Eigen vectors: [[ 0.03730531 -0.3135781 -0.77866613 0.54217722]\n", - " [ 0.1725762 0.01383184 0.56460354 0.80699999]\n", - " [-0.10148488 0.9433793 -0.25614111 0.18473777]\n", - " [-0.97904371 -0.10729839 0.09640345 0.14375966]]\n", - "This is the 55 run out of 81 run.\n", - "The code has run 78.6638 seconds.\n", - "Estimated remaining time: 37.1865 seconds\n", - "=======This is the 56 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 38.98008208 10.50087231 -109.26616165 -50.33423487]\n", - " [ 10.50087231 46.2357708 -26.0166368 -241.75650289]\n", - " [-109.26616165 -26.0166368 314.03400492 129.07785117]\n", - " [ -50.33423487 -241.75650289 129.07785117 1297.33885768]]\n", - "Trace: 1696.588715479351\n", - "Determinant: 353397.8312879253\n", - "Condition number: 2473.8645149810354\n", - "Minimal eigen value: 0.5506368680154294\n", - "Eigen values: [1.36220101e+03 3.32419741e+02 5.50636868e-01 1.41732872e+00]\n", - "Eigen vectors: [[ 0.04917049 -0.32421068 -0.77441886 0.54105926]\n", - " [ 0.18180006 0.01903732 0.56547639 0.80425292]\n", - " [-0.12952444 0.93577129 -0.26488389 0.19337021]\n", - " [-0.9735268 -0.1373212 0.10172706 0.15178957]]\n", - "This is the 56 run out of 81 run.\n", - "The code has run 79.8626 seconds.\n", - "Estimated remaining time: 35.6529 seconds\n", - "=======This is the 57 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.04956949 9.70175573 -98.97227132 -43.42997368]\n", - " [ 9.70175573 40.22722663 -22.44817902 -201.75717188]\n", - " [ -98.97227132 -22.44817902 280.76635309 104.14374396]\n", - " [ -43.42997368 -201.75717188 104.14374396 1050.10727896]]\n", - "Trace: 1407.150428173226\n", - "Determinant: 385007.66008115205\n", - "Condition number: 1607.7050261633747\n", - "Minimal eigen value: 0.6877958792213302\n", - "Eigen values: [1.10577289e+03 2.98996660e+02 6.87795879e-01 1.69308018e+00]\n", - "Eigen vectors: [[ 0.05355966 -0.32712622 -0.78888975 0.51746764]\n", - " [ 0.18728768 0.01854209 0.54218599 0.81891017]\n", - " [-0.13417312 0.93385046 -0.27197264 0.18960955]\n", - " [-0.97162352 -0.14341531 0.09858088 0.16019237]]\n", - "This is the 57 run out of 81 run.\n", - "The code has run 81.1225 seconds.\n", - "Estimated remaining time: 34.1568 seconds\n", - "=======This is the 58 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 33.98317248 8.42333604 -92.76204231 -36.13237 ]\n", - " [ 8.42333604 34.62136349 -18.67643566 -172.26593198]\n", - " [ -92.76204231 -18.67643566 263.37972026 83.93292272]\n", - " [ -36.13237 -172.26593198 83.93292272 900.07554444]]\n", - "Trace: 1232.0598006660607\n", - "Determinant: 390791.50345847104\n", - "Condition number: 1252.164170768648\n", - "Minimal eigen value: 0.755936785366837\n", - "Eigen values: [9.46556958e+02 2.82815786e+02 7.55936785e-01 1.93111988e+00]\n", - "Eigen vectors: [[ 0.0536091 -0.32713615 -0.78407605 0.52472159]\n", - " [ 0.18681353 0.0168036 0.55027211 0.81364547]\n", - " [-0.13180724 0.93417415 -0.2694697 0.19321382]\n", - " [-0.97203581 -0.14148579 0.09905265 0.1591123 ]]\n", - "This is the 58 run out of 81 run.\n", - "The code has run 82.4040 seconds.\n", - "Estimated remaining time: 32.6774 seconds\n", - "=======This is the 59 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.61461165 7.69867872 -89.0993162 -32.29861664]\n", - " [ 7.69867872 31.72831286 -16.6949761 -158.49193134]\n", - " [ -89.0993162 -16.6949761 254.23608263 74.24416551]\n", - " [ -32.29861664 -158.49193134 74.24416551 836.93855774]]\n", - "Trace: 1155.517564889954\n", - "Determinant: 377055.4844963731\n", - "Condition number: 1153.56396067208\n", - "Minimal eigen value: 0.7616413010273266\n", - "Eigen values: [8.78601956e+02 2.74098284e+02 7.61641301e-01 2.05568371e+00]\n", - "Eigen vectors: [[ 0.05232178 -0.32611304 -0.77255089 0.54228945]\n", - " [ 0.18508459 0.0153093 0.56859711 0.80137797]\n", - " [-0.12810799 0.93511485 -0.2637982 0.1988946 ]\n", - " [-0.97293087 -0.13775386 0.10135559 0.15542345]]\n", - "This is the 59 run out of 81 run.\n", - "The code has run 83.7134 seconds.\n", - "Estimated remaining time: 31.2152 seconds\n", - "=======This is the 60 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.71734916 7.29854327 -86.90405671 -30.22973035]\n", - " [ 7.29854327 30.12738394 -15.62568199 -151.47396021]\n", - " [ -86.90405671 -15.62568199 249.25058073 69.31843272]\n", - " [ -30.22973035 -151.47396021 69.31843272 807.51142812]]\n", - "Trace: 1118.606741960431\n", - "Determinant: 352265.93053194525\n", - "Condition number: 1157.5019448123237\n", - "Minimal eigen value: 0.731369368906729\n", - "Eigen values: [8.46561467e+02 2.69200418e+02 7.31369369e-01 2.11348733e+00]\n", - "Eigen vectors: [[ 0.05112181 -0.32491964 -0.76087976 0.55935299]\n", - " [ 0.18349975 0.01428386 0.58622697 0.78896245]\n", - " [-0.12523328 0.93598322 -0.25814533 0.2039927 ]\n", - " [-0.97366885 -0.13475387 0.10373479 0.15182048]]\n", - "This is the 60 run out of 81 run.\n", - "The code has run 85.0550 seconds.\n", - "Estimated remaining time: 29.7693 seconds\n", - "=======This is the 61 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.10005334 7.00415656 -85.51112338 -28.82462182]\n", - " [ 7.00415656 29.06295134 -14.8994589 -147.24385858]\n", - " [ -85.51112338 -14.8994589 246.34676968 66.2484418 ]\n", - " [ -28.82462182 -147.24385858 66.2484418 791.39773689]]\n", - "Trace: 1097.9075112415553\n", - "Determinant: 321261.1072732417\n", - "Condition number: 1206.2607176796919\n", - "Minimal eigen value: 0.6870415207970759\n", - "Eigen values: [8.28751198e+02 2.66350926e+02 6.87041521e-01 2.11834546e+00]\n", - "Eigen vectors: [[ 0.04997416 -0.32388984 -0.74853205 0.57645271]\n", - " [ 0.18211958 0.01362624 0.60381088 0.77592474]\n", - " [-0.12282242 0.93672065 -0.25260425 0.20895014]\n", - " [-0.97429446 -0.13215185 0.10631692 0.14826634]]\n", - "This is the 61 run out of 81 run.\n", - "The code has run 86.5620 seconds.\n", - "Estimated remaining time: 28.3810 seconds\n", - "=======This is the 62 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.61904319 6.70066134 -84.52860483 -27.6103242 ]\n", - " [ 6.70066134 28.23501444 -14.27185511 -144.32300206]\n", - " [ -84.52860483 -14.27185511 244.48029255 63.92533729]\n", - " [ -27.6103242 -144.32300206 63.92533729 781.40832224]]\n", - "Trace: 1084.742672417322\n", - "Determinant: 287091.8887813455\n", - "Condition number: 1270.1548612113952\n", - "Minimal eigen value: 0.6435916597485087\n", - "Eigen values: [8.17461075e+02 2.64575506e+02 6.43591660e-01 2.06249924e+00]\n", - "Eigen vectors: [[ 0.04868907 -0.3230202 -0.73551595 0.59355169]\n", - " [ 0.18086605 0.01330593 0.62129568 0.76230054]\n", - " [-0.12045256 0.93739782 -0.24720548 0.21369594]\n", - " [-0.97488873 -0.12948445 0.10907526 0.14466629]]\n", - "This is the 62 run out of 81 run.\n", - "The code has run 87.9812 seconds.\n", - "Estimated remaining time: 26.9620 seconds\n", - "=======This is the 63 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 30.20764168 6.38536954 -83.77945916 -26.53899956]\n", - " [ 6.38536954 27.58709508 -13.71814607 -142.28482105]\n", - " [ -83.77945916 -13.71814607 243.19229482 62.12514983]\n", - " [ -26.53899956 -142.28482105 62.12514983 775.12800093]]\n", - "Trace: 1076.1150325176336\n", - "Determinant: 254255.2773071438\n", - "Condition number: 1330.7789521030636\n", - "Minimal eigen value: 0.608797184781677\n", - "Eigen values: [8.10174480e+02 2.63374511e+02 6.08797185e-01 1.95724431e+00]\n", - "Eigen vectors: [[ 0.04736083 -0.32223551 -0.724051 0.60800607]\n", - " [ 0.17980376 0.01327246 0.63595878 0.75036716]\n", - " [-0.11822723 0.93802249 -0.24264785 0.2173894 ]\n", - " [-0.97542293 -0.12689337 0.11148365 0.14149058]]\n", - "This is the 63 run out of 81 run.\n", - "The code has run 89.5170 seconds.\n", - "Estimated remaining time: 25.5763 seconds\n", - "=======This is the 64 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 46.92629751 6.90338693 -138.62963954 -33.01752486]\n", - " [ 6.90338693 41.06895619 -17.06655062 -227.67404402]\n", - " [-138.62963954 -17.06655062 417.84730534 86.80549243]\n", - " [ -33.01752486 -227.67404402 86.80549243 1300.73494691]]\n", - "Trace: 1806.5775059519992\n", - "Determinant: 459604.7219933394\n", - "Condition number: 2702.7543876920536\n", - "Minimal eigen value: 0.4997565607094312\n", - "Eigen values: [1.35071924e+03 4.53858342e+02 4.99756561e-01 1.50017033e+00]\n", - "Eigen vectors: [[-0.03631039 0.31277851 -0.77902003 0.54219825]\n", - " [-0.17175452 -0.01378792 0.56437548 0.80733549]\n", - " [ 0.09967419 -0.94387759 -0.25567722 0.18381867]\n", - " [ 0.97941156 0.10523585 0.0961107 0.14297255]]\n", - "This is the 64 run out of 81 run.\n", - "The code has run 90.5978 seconds.\n", - "Estimated remaining time: 24.0650 seconds\n", - "=======This is the 65 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 41.71632611 11.8524719 -116.57866267 -57.32295124]\n", - " [ 11.8524719 51.50216373 -29.62873093 -268.98746881]\n", - " [-116.57866267 -29.62873093 333.57636684 147.7549073 ]\n", - " [ -57.32295124 -268.98746881 147.7549073 1438.14215791]]\n", - "Trace: 1864.93701458946\n", - "Determinant: 425293.33387179556\n", - "Condition number: 2684.360803602728\n", - "Minimal eigen value: 0.5630645637492117\n", - "Eigen values: [1.51146844e+03 3.51483746e+02 5.63064564e-01 1.42175920e+00]\n", - "Eigen vectors: [[ 0.04986108 -0.3253461 -0.7734496 0.54170057]\n", - " [ 0.18236313 0.01979238 0.5662309 0.80357608]\n", - " [-0.13158898 0.9350533 -0.26583167 0.19414733]\n", - " [-0.9731094 -0.13940407 0.10242952 0.15209469]]\n", - "This is the 65 run out of 81 run.\n", - "The code has run 91.6918 seconds.\n", - "Estimated remaining time: 22.5703 seconds\n", - "=======This is the 66 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 38.00739612 10.84108997 -103.55045697 -48.58474746]\n", - " [ 10.84108997 43.89759997 -25.11239917 -218.36331941]\n", - " [-103.55045697 -25.11239917 291.47199138 116.19767124]\n", - " [ -48.58474746 -218.36331941 116.19767124 1125.23972746]]\n", - "Trace: 1498.6167149344094\n", - "Determinant: 469841.6247280835\n", - "Condition number: 1620.7512957765398\n", - "Minimal eigen value: 0.7323714028597419\n", - "Eigen values: [1.18699190e+03 3.09144162e+02 7.32371403e-01 1.74828128e+00]\n", - "Eigen vectors: [[ 0.05523448 -0.32901628 -0.78936724 0.51536085]\n", - " [ 0.18898188 0.01942047 0.54031673 0.81973564]\n", - " [-0.13764106 0.93258287 -0.27409578 0.19030404]\n", - " [-0.9707162 -0.14717445 0.0991398 0.16192912]]\n", - "This is the 66 run out of 81 run.\n", - "The code has run 92.9314 seconds.\n", - "Estimated remaining time: 21.1208 seconds\n", - "=======This is the 67 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 35.39211234 9.22308995 -95.69063657 -39.3487156 ]\n", - " [ 9.22308995 36.80267948 -20.33878885 -181.038465 ]\n", - " [ -95.69063657 -20.33878885 269.4670378 90.6183572 ]\n", - " [ -39.3487156 -181.038465 90.6183572 935.35577706]]\n", - "Trace: 1277.017606694349\n", - "Determinant: 478375.47935399483\n", - "Condition number: 1199.9989788371267\n", - "Minimal eigen value: 0.8212252566049608\n", - "Eigen values: [9.85469469e+02 2.88679300e+02 8.21225257e-01 2.04761261e+00]\n", - "Eigen vectors: [[ 0.05571542 -0.32911178 -0.7844296 0.52273457]\n", - " [ 0.18875266 0.01745765 0.54869009 0.81425232]\n", - " [-0.13569991 0.93279596 -0.27146248 0.19438454]\n", - " [-0.97100657 -0.14585045 0.09958669 0.16110983]]\n", - "This is the 67 run out of 81 run.\n", - "The code has run 94.2497 seconds.\n", - "Estimated remaining time: 19.6940 seconds\n", - "=======This is the 68 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 33.66002761 8.30594564 -91.05499891 -34.49662194]\n", - " [ 8.30594564 33.14116228 -17.83100411 -163.60574544]\n", - " [ -91.05499891 -17.83100411 257.89462145 78.35602391]\n", - " [ -34.49662194 -163.60574544 78.35602391 855.44802828]]\n", - "Trace: 1180.143839623319\n", - "Determinant: 459277.25895758584\n", - "Condition number: 1081.8197040357716\n", - "Minimal eigen value: 0.8314050126325663\n", - "Eigen values: [8.99430325e+02 2.77670210e+02 8.31405013e-01 2.21190000e+00]\n", - "Eigen vectors: [[ 0.05436601 -0.32790709 -0.77158474 0.54238203]\n", - " [ 0.18680442 0.01563656 0.56923733 0.80051762]\n", - " [-0.13162916 0.93387659 -0.26494772 0.20087555]\n", - " [-0.97201966 -0.14179899 0.10212027 0.15697861]]\n", - "This is the 68 run out of 81 run.\n", - "The code has run 95.5680 seconds.\n", - "Estimated remaining time: 18.2704 seconds\n", - "=======This is the 69 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.52442966 7.79952394 -88.27662362 -31.87818718]\n", - " [ 7.79952394 31.11498652 -16.47767841 -154.72362552]\n", - " [ -88.27662362 -16.47767841 251.58484594 72.12189285]\n", - " [ -31.87818718 -154.72362552 72.12189285 818.20431707]]\n", - "Trace: 1133.428579183614\n", - "Determinant: 424625.5063295614\n", - "Condition number: 1080.5771231432936\n", - "Minimal eigen value: 0.7948118154343831\n", - "Eigen values: [8.58855465e+02 2.71487052e+02 7.94811815e-01 2.29125042e+00]\n", - "Eigen vectors: [[ 0.05298068 -0.32645825 -0.75839465 0.56165435]\n", - " [ 0.18491122 0.01434479 0.589166 0.78643849]\n", - " [-0.12826537 0.93492766 -0.25836135 0.20665836]\n", - " [-0.97290744 -0.13830947 0.10473962 0.15281106]]\n", - "This is the 69 run out of 81 run.\n", - "The code has run 96.9151 seconds.\n", - "Estimated remaining time: 16.8548 seconds\n", - "=======This is the 70 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.74316474 7.42694102 -86.51369237 -30.09984737]\n", - " [ 7.42694102 29.7678141 -15.55855266 -149.36990345]\n", - " [ -86.51369237 -15.55855266 247.90970974 68.2364363 ]\n", - " [ -30.09984737 -149.36990345 68.2364363 797.81042745]]\n", - "Trace: 1107.231116021695\n", - "Determinant: 381369.94743284467\n", - "Condition number: 1131.228760170931\n", - "Minimal eigen value: 0.7392823596420406\n", - "Eigen values: [8.36297467e+02 2.67891780e+02 7.39282360e-01 2.30258650e+00]\n", - "Eigen vectors: [[ 0.05159752 -0.32519357 -0.74430518 0.58103066]\n", - " [ 0.18321977 0.01350159 0.60908704 0.77153172]\n", - " [-0.12535113 0.93583947 -0.25188368 0.21224088]\n", - " [-0.97368132 -0.1351715 0.10759823 0.14864717]]\n", - "This is the 70 run out of 81 run.\n", - "The code has run 98.4196 seconds.\n", - "Estimated remaining time: 15.4659 seconds\n", - "=======This is the 71 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.13438628 7.04282989 -85.27019232 -28.5630018 ]\n", - " [ 7.04282989 28.71995645 -14.7642416 -145.67319431]\n", - " [ -85.27019232 -14.7642416 245.54744961 65.29625692]\n", - " [ -28.5630018 -145.67319431 65.29625692 785.16757397]]\n", - "Trace: 1090.569366309676\n", - "Determinant: 334072.2908212103\n", - "Condition number: 1201.6870700885588\n", - "Minimal eigen value: 0.6840342314306751\n", - "Eigen values: [8.21995091e+02 2.65653696e+02 6.84034231e-01 2.23654444e+00]\n", - "Eigen vectors: [[ 0.05001058 -0.32412002 -0.72914289 0.6006628 ]\n", - " [ 0.18166178 0.01308144 0.62914363 0.7556495 ]\n", - " [-0.12242742 0.93668688 -0.24550229 0.21761858]\n", - " [-0.97442776 -0.1318817 0.1107139 0.14436129]]\n", - "This is the 71 run out of 81 run.\n", - "The code has run 99.8447 seconds.\n", - "Estimated remaining time: 14.0626 seconds\n", - "=======This is the 72 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 30.61370624 6.64378871 -84.32205484 -27.20710656]\n", - " [ 6.64378871 27.89993353 -14.0634536 -143.09362149]\n", - " [ -84.32205484 -14.0634536 243.91732749 63.01789467]\n", - " [ -27.20710656 -143.09362149 63.01789467 777.21904233]]\n", - "Trace: 1079.6500095886515\n", - "Determinant: 289208.71561637335\n", - "Condition number: 1271.2648772423802\n", - "Minimal eigen value: 0.6393346215801524\n", - "Eigen values: [8.12763649e+02 2.64139927e+02 6.39334622e-01 2.10709845e+00]\n", - "Eigen vectors: [[ 0.04834993 -0.32314612 -0.71522959 0.61780702]\n", - " [ 0.1803307 0.01302644 0.64651616 0.74116665]\n", - " [-0.11964922 0.93747381 -0.23994152 0.22193464]\n", - " [-0.97510368 -0.12864585 0.11354098 0.14046888]]\n", - "This is the 72 run out of 81 run.\n", - "The code has run 101.3036 seconds.\n", - "Estimated remaining time: 12.6630 seconds\n", - "=======This is the 73 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", - " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", - " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", - " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", - "Trace: 1981.0422198461438\n", - "Determinant: 561207.9662178434\n", - "Condition number: 2950.219453820002\n", - "Minimal eigen value: 0.5016011129279737\n", - "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", - "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", - " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", - " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", - " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", - "This is the 73 run out of 81 run.\n", - "The code has run 102.3987 seconds.\n", - "Estimated remaining time: 11.2218 seconds\n", - "=======This is the 74 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 44.77448121 13.36308321 -124.75145794 -65.13386954]\n", - " [ 13.36308321 57.3881323 -33.66577731 -299.42207777]\n", - " [-124.75145794 -33.66577731 355.41783016 168.62926416]\n", - " [ -65.13386954 -299.42207777 168.62926416 1595.51055227]]\n", - "Trace: 2053.0909959474125\n", - "Determinant: 513228.2976445542\n", - "Condition number: 2917.190381044787\n", - "Minimal eigen value: 0.5753167063296618\n", - "Eigen values: [1.67830836e+03 3.72781455e+02 5.75316706e-01 1.42586218e+00]\n", - "Eigen vectors: [[-0.05047007 0.32648857 -0.77233623 0.54254469]\n", - " [-0.18287382 -0.02050882 0.56719727 0.80276012]\n", - " [ 0.13340808 -0.93436539 -0.26673157 0.1949817 ]\n", - " [ 0.9727344 0.14122999 0.10314205 0.15232724]]\n", - "This is the 74 run out of 81 run.\n", - "The code has run 103.4779 seconds.\n", - "Estimated remaining time: 9.7885 seconds\n", - "=======This is the 75 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 40.19555527 12.11446351 -108.66725425 -54.3459603 ]\n", - " [ 12.11446351 47.99978202 -28.09006195 -236.92312113]\n", - " [-108.66725425 -28.09006195 303.43712402 129.66971892]\n", - " [ -54.3459603 -236.92312113 129.66971892 1209.21119331]]\n", - "Trace: 1600.843654620789\n", - "Determinant: 574493.5923426447\n", - "Condition number: 1641.1009368547748\n", - "Minimal eigen value: 0.7786241106559912\n", - "Eigen values: [1.27780076e+03 3.20462430e+02 7.78624111e-01 1.80184355e+00]\n", - "Eigen vectors: [[ 0.0568252 -0.33099073 -0.78928624 0.51404598]\n", - " [ 0.19061862 0.02031409 0.53926995 0.82002427]\n", - " [-0.1409001 0.93130083 -0.27612117 0.1912669 ]\n", - " [-0.96983638 -0.15070249 0.09986122 0.16350503]]\n", - "This is the 75 run out of 81 run.\n", - "The code has run 104.7660 seconds.\n", - "Estimated remaining time: 8.3813 seconds\n", - "=======This is the 76 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.96680994 10.1169327 -98.96377145 -42.94345541]\n", - " [ 10.1169327 39.24062076 -22.19671301 -190.84306041]\n", - " [ -98.96377145 -22.19671301 276.27051038 98.09031344]\n", - " [ -42.94345541 -190.84306041 98.09031344 974.78662483]]\n", - "Trace: 1327.2645659113318\n", - "Determinant: 586703.6867346049\n", - "Condition number: 1154.5643300518498\n", - "Minimal eigen value: 0.8912447563558519\n", - "Eigen values: [1.02899941e+03 2.95206809e+02 8.91244756e-01 2.16710690e+00]\n", - "Eigen vectors: [[ 0.0578611 -0.33121289 -0.78442655 0.52117666]\n", - " [ 0.19074339 0.01817303 0.54757119 0.81452593]\n", - " [-0.13962694 0.93133834 -0.27347645 0.19576479]\n", - " [-0.96993472 -0.15025534 0.10025673 0.16309062]]\n", - "This is the 76 run out of 81 run.\n", - "The code has run 106.0652 seconds.\n", - "Estimated remaining time: 6.9780 seconds\n", - "=======This is the 77 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.82843368 8.98465572 -93.24076194 -36.95321608]\n", - " [ 8.98465572 34.72022928 -19.10068248 -169.32118473]\n", - " [ -93.24076194 -19.10068248 261.98357659 82.95163035]\n", - " [ -36.95321608 -169.32118473 82.95163035 876.1350836 ]]\n", - "Trace: 1207.667323148074\n", - "Determinant: 560761.244544903\n", - "Condition number: 1016.6953838933143\n", - "Minimal eigen value: 0.9075873160350136\n", - "Eigen values: [9.22739835e+02 2.81642447e+02 9.07587316e-01 2.37745440e+00]\n", - "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", - " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", - " [-0.13533435 0.93253239 -0.26619814 0.20299388]\n", - " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", - "This is the 77 run out of 81 run.\n", - "The code has run 107.5272 seconds.\n", - "Estimated remaining time: 5.5858 seconds\n", - "=======This is the 78 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 33.42646128 8.35944401 -89.81066931 -33.72058097]\n", - " [ 8.35944401 32.21877784 -17.42991033 -158.35560484]\n", - " [ -89.81066931 -17.42991033 254.19373028 75.25517256]\n", - " [ -33.72058097 -158.35560484 75.25517256 830.15519359]]\n", - "Trace: 1149.9941629861146\n", - "Determinant: 513459.05664163764\n", - "Condition number: 1009.1034533531276\n", - "Minimal eigen value: 0.8647458183914464\n", - "Eigen values: [8.72617992e+02 2.74028305e+02 8.64745818e-01 2.48312030e+00]\n", - "Eigen vectors: [[ 0.0549935 -0.32812852 -0.75602079 0.56368427]\n", - " [ 0.18644071 0.01443566 0.59187188 0.78404028]\n", - " [-0.13153067 0.93376588 -0.2587196 0.2093923 ]\n", - " [-0.97206752 -0.14214279 0.10575638 0.15393425]]\n", - "This is the 78 run out of 81 run.\n", - "The code has run 108.8796 seconds.\n", - "Estimated remaining time: 4.1877 seconds\n", - "=======This is the 79 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.46193631 7.89946484 -87.6342104 -31.52509933]\n", - " [ 7.89946484 30.55560189 -16.29518665 -151.74607116]\n", - " [ -87.6342104 -16.29518665 249.65652434 70.45831169]\n", - " [ -31.52509933 -151.74607116 70.45831169 804.97755171]]\n", - "Trace: 1117.6516142451649\n", - "Determinant: 454517.04885885824\n", - "Condition number: 1059.7997094874358\n", - "Minimal eigen value: 0.7970814188484145\n", - "Eigen values: [8.44746656e+02 2.69604106e+02 7.97081419e-01 2.50377045e+00]\n", - "Eigen vectors: [[ 0.05337759 -0.32661762 -0.7403787 0.58507363]\n", - " [ 0.18442587 0.01338178 0.61386088 0.76745218]\n", - " [-0.12811295 0.93486205 -0.25133676 0.21552227]\n", - " [-0.97299795 -0.1384731 0.10883033 0.14918496]]\n", - "This is the 79 run out of 81 run.\n", - "The code has run 110.3101 seconds.\n", - "Estimated remaining time: 2.7927 seconds\n", - "=======This is the 80 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.71035796 7.42525356 -86.0990254 -29.62775912]\n", - " [ 7.42525356 29.26195047 -15.31455591 -147.18223271]\n", - " [ -86.0990254 -15.31455591 246.74015456 66.82846121]\n", - " [ -29.62775912 -147.18223271 66.82846121 789.36909062]]\n", - "Trace: 1097.0815536086095\n", - "Determinant: 390533.5375384314\n", - "Condition number: 1134.9974877008417\n", - "Minimal eigen value: 0.7286990827395959\n", - "Eigen values: [8.27071628e+02 2.66852968e+02 7.28699083e-01 2.42825870e+00]\n", - "Eigen vectors: [[ 0.05147169 -0.32532815 -0.7232187 0.6070148 ]\n", - " [ 0.18254089 0.01284389 0.63625522 0.74946191]\n", - " [-0.12460497 0.93589476 -0.24399628 0.22145072]\n", - " [-0.97391123 -0.13452744 0.11224889 0.14422019]]\n", - "This is the 80 run out of 81 run.\n", - "The code has run 111.8061 seconds.\n", - "Estimated remaining time: 1.3976 seconds\n", - "=======This is the 81 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", - " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", - " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", - " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", - "Trace: 1083.6008663096845\n", - "Determinant: 330586.4905784959\n", - "Condition number: 1212.388775069196\n", - "Minimal eigen value: 0.6727727401066618\n", - "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", - "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", - " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", - " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", - " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", - "This is the 81 run out of 81 run.\n", - "The code has run 113.2406 seconds.\n", - "Estimated remaining time: 0.0000 seconds\n", - "The whole run takes 113.24071192741394 s.\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -6876,314 +734,10 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "76003ddb", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "At CA0 = 1.0 , T = 300.0 :\n", - "We found the class where CA0 = {0: 1.0} , T = {0: 300.0}\n", - "A-optimal result is 1099.5362969977725 D-optimal result is 151638.4943213679 E-optimal(minimal eigenvalue) result is 0.48581739042109506 Modified E-optimal (condition number) result is 1703.5708820968514\n", - "At CA0 = 1.0 , T = 350.0 :\n", - "We found the class where CA0 = {0: 1.0} , T = {0: 350.0}\n", - "A-optimal result is 1102.4182480406644 D-optimal result is 150855.125045628 E-optimal(minimal eigenvalue) result is 0.48997231855823686 Modified E-optimal (condition number) result is 1705.3048930035557\n", - "At CA0 = 1.0 , T = 400.0 :\n", - "We found the class where CA0 = {0: 1.0} , T = {0: 400.0}\n", - "A-optimal result is 1084.3283557002067 D-optimal result is 152039.07832960782 E-optimal(minimal eigenvalue) result is 0.4993357281605193 Modified E-optimal (condition number) result is 1641.2051904546718\n", - "At CA0 = 1.0 , T = 450.0 :\n", - "We found the class where CA0 = {0: 1.0} , T = {0: 450.0}\n", - "A-optimal result is 1073.3851908623308 D-optimal result is 152189.04419265324 E-optimal(minimal eigenvalue) result is 0.5028391663221075 Modified E-optimal (condition number) result is 1609.9994023835127\n", - "At CA0 = 1.0 , T = 500.0 :\n", - "We found the class where CA0 = {0: 1.0} , T = {0: 500.0}\n", - "A-optimal result is 1068.6013010931579 D-optimal result is 151629.20405875487 E-optimal(minimal eigenvalue) result is 0.5025670284947488 Modified E-optimal (condition number) result is 1602.4379552920132\n", - "At CA0 = 1.0 , T = 550.0 :\n", - "We found the class where CA0 = {0: 1.0} , T = {0: 550.0}\n", - "A-optimal result is 1066.294374711943 D-optimal result is 150651.09426599584 E-optimal(minimal eigenvalue) result is 0.5003756301004131 Modified E-optimal (condition number) result is 1605.4640856393876\n", - "At CA0 = 1.0 , T = 600.0 :\n", - "We found the class where CA0 = {0: 1.0} , T = {0: 600.0}\n", - "A-optimal result is 1065.0006727945133 D-optimal result is 149413.08866872228 E-optimal(minimal eigenvalue) result is 0.4975647310687059 Modified E-optimal (condition number) result is 1612.3033965284394\n", - "At CA0 = 1.0 , T = 650.0 :\n", - "We found the class where CA0 = {0: 1.0} , T = {0: 650.0}\n", - "A-optimal result is 1064.1778703392624 D-optimal result is 147983.78531466573 E-optimal(minimal eigenvalue) result is 0.49498422928574204 Modified E-optimal (condition number) result is 1619.2882874718866\n", - "At CA0 = 1.0 , T = 700.0 :\n", - "We found the class where CA0 = {0: 1.0} , T = {0: 700.0}\n", - "A-optimal result is 1063.638642847519 D-optimal result is 146507.48646152133 E-optimal(minimal eigenvalue) result is 0.49299236417422976 Modified E-optimal (condition number) result is 1624.9104501935346\n", - "At CA0 = 1.5 , T = 300.0 :\n", - "We found the class where CA0 = {0: 1.5} , T = {0: 300.0}\n", - "A-optimal result is 1145.4480638161667 D-optimal result is 166581.38467009662 E-optimal(minimal eigenvalue) result is 0.48728421389676346 Modified E-optimal (condition number) result is 1768.1232464410234\n", - "At CA0 = 1.5 , T = 350.0 :\n", - "We found the class where CA0 = {0: 1.5} , T = {0: 350.0}\n", - "A-optimal result is 1151.9324536678646 D-optimal result is 164685.70018609465 E-optimal(minimal eigenvalue) result is 0.4964321047417337 Modified E-optimal (condition number) result is 1771.4801724742997\n", - "At CA0 = 1.5 , T = 400.0 :\n", - "We found the class where CA0 = {0: 1.5} , T = {0: 400.0}\n", - "A-optimal result is 1111.2301633637778 D-optimal result is 167498.06622292424 E-optimal(minimal eigenvalue) result is 0.5173475296016143 Modified E-optimal (condition number) result is 1630.10789521531\n", - "At CA0 = 1.5 , T = 450.0 :\n", - "We found the class where CA0 = {0: 1.5} , T = {0: 450.0}\n", - "A-optimal result is 1086.6080750185051 D-optimal result is 167875.11552651896 E-optimal(minimal eigenvalue) result is 0.5254321774225026 Modified E-optimal (condition number) result is 1562.4478475438566\n", - "At CA0 = 1.5 , T = 500.0 :\n", - "We found the class where CA0 = {0: 1.5} , T = {0: 500.0}\n", - "A-optimal result is 1075.8443231042434 D-optimal result is 166559.47639777444 E-optimal(minimal eigenvalue) result is 0.5249576134254763 Modified E-optimal (condition number) result is 1545.6906074240526\n", - "At CA0 = 1.5 , T = 550.0 :\n", - "We found the class where CA0 = {0: 1.5} , T = {0: 550.0}\n", - "A-optimal result is 1070.65373948992 D-optimal result is 164251.619804841 E-optimal(minimal eigenvalue) result is 0.5200809843403219 Modified E-optimal (condition number) result is 1551.5407215360776\n", - "At CA0 = 1.5 , T = 600.0 :\n", - "We found the class where CA0 = {0: 1.5} , T = {0: 600.0}\n", - "A-optimal result is 1067.7429093235437 D-optimal result is 161334.89807169262 E-optimal(minimal eigenvalue) result is 0.5137499671366336 Modified E-optimal (condition number) result is 1565.79882549867\n", - "At CA0 = 1.5 , T = 650.0 :\n", - "We found the class where CA0 = {0: 1.5} , T = {0: 650.0}\n", - "A-optimal result is 1065.8916038711552 D-optimal result is 157986.53907653803 E-optimal(minimal eigenvalue) result is 0.5078992315221698 Modified E-optimal (condition number) result is 1580.7201252527295\n", - "At CA0 = 1.5 , T = 700.0 :\n", - "We found the class where CA0 = {0: 1.5} , T = {0: 700.0}\n", - "A-optimal result is 1064.6783419866704 D-optimal result is 154556.86878195836 E-optimal(minimal eigenvalue) result is 0.5033721886008624 Modified E-optimal (condition number) result is 1592.9075104447347\n", - "At CA0 = 2.0 , T = 300.0 :\n", - "We found the class where CA0 = {0: 2.0} , T = {0: 300.0}\n", - "A-optimal result is 1209.7245373595783 D-optimal result is 188680.91170914198 E-optimal(minimal eigenvalue) result is 0.48913747009914166 Modified E-optimal (condition number) result is 1858.616320831994\n", - "At CA0 = 2.0 , T = 350.0 :\n", - "We found the class where CA0 = {0: 2.0} , T = {0: 350.0}\n", - "A-optimal result is 1221.2523415411317 D-optimal result is 184979.52586245077 E-optimal(minimal eigenvalue) result is 0.5049297243111703 Modified E-optimal (condition number) result is 1863.3156848542435\n", - "At CA0 = 2.0 , T = 400.0 :\n", - "We found the class where CA0 = {0: 2.0} , T = {0: 400.0}\n", - "A-optimal result is 1148.8927705492695 D-optimal result is 190348.6673254422 E-optimal(minimal eigenvalue) result is 0.5417343666379524 Modified E-optimal (condition number) result is 1618.3103657413333\n", - "At CA0 = 2.0 , T = 450.0 :\n", - "We found the class where CA0 = {0: 2.0} , T = {0: 450.0}\n", - "A-optimal result is 1105.1201128212274 D-optimal result is 191117.7507506111 E-optimal(minimal eigenvalue) result is 0.5565662145256329 Modified E-optimal (condition number) result is 1503.7114051925557\n", - "At CA0 = 2.0 , T = 500.0 :\n", - "We found the class where CA0 = {0: 2.0} , T = {0: 500.0}\n", - "A-optimal result is 1085.9845538731117 D-optimal result is 188639.4615552581 E-optimal(minimal eigenvalue) result is 0.5560520631753989 Modified E-optimal (condition number) result is 1474.5971888051029\n", - "At CA0 = 2.0 , T = 550.0 :\n", - "We found the class where CA0 = {0: 2.0} , T = {0: 550.0}\n", - "A-optimal result is 1076.7568482418158 D-optimal result is 184270.03331003775 E-optimal(minimal eigenvalue) result is 0.5475192742598249 Modified E-optimal (condition number) result is 1482.9771752629497\n", - "At CA0 = 2.0 , T = 600.0 :\n", - "We found the class where CA0 = {0: 2.0} , T = {0: 600.0}\n", - "A-optimal result is 1071.5820405595707 D-optimal result is 178758.17326418444 E-optimal(minimal eigenvalue) result is 0.5362591366706398 Modified E-optimal (condition number) result is 1505.8326274881686\n", - "At CA0 = 2.0 , T = 650.0 :\n", - "We found the class where CA0 = {0: 2.0} , T = {0: 650.0}\n", - "A-optimal result is 1068.2908307463383 D-optimal result is 172475.9415463406 E-optimal(minimal eigenvalue) result is 0.5257610786968038 Modified E-optimal (condition number) result is 1530.546651700559\n", - "At CA0 = 2.0 , T = 700.0 :\n", - "We found the class where CA0 = {0: 2.0} , T = {0: 700.0}\n", - "A-optimal result is 1066.1339207407643 D-optimal result is 166109.9551245936 E-optimal(minimal eigenvalue) result is 0.5176066466705693 Modified E-optimal (condition number) result is 1551.1500791407132\n", - "At CA0 = 2.5 , T = 300.0 :\n", - "We found the class where CA0 = {0: 2.5} , T = {0: 300.0}\n", - "A-optimal result is 1292.3657176279999 D-optimal result is 219116.55598781718 E-optimal(minimal eigenvalue) result is 0.4912314715447589 Modified E-optimal (condition number) result is 1975.135565776819\n", - "At CA0 = 2.5 , T = 350.0 :\n", - "We found the class where CA0 = {0: 2.5} , T = {0: 350.0}\n", - "A-optimal result is 1310.3779116577584 D-optimal result is 212667.62255371246 E-optimal(minimal eigenvalue) result is 0.5150288667373343 Modified E-optimal (condition number) result is 1980.140754134136\n", - "At CA0 = 2.5 , T = 400.0 :\n", - "We found the class where CA0 = {0: 2.5} , T = {0: 400.0}\n", - "A-optimal result is 1197.3160814605867 D-optimal result is 221799.0883115981 E-optimal(minimal eigenvalue) result is 0.5717813344410629 Modified E-optimal (condition number) result is 1608.3235339216812\n", - "At CA0 = 2.5 , T = 450.0 :\n", - "We found the class where CA0 = {0: 2.5} , T = {0: 450.0}\n", - "A-optimal result is 1128.9213042948234 D-optimal result is 223199.08519825267 E-optimal(minimal eigenvalue) result is 0.5957771989533247 Modified E-optimal (condition number) result is 1439.2001464010648\n", - "At CA0 = 2.5 , T = 500.0 :\n", - "We found the class where CA0 = {0: 2.5} , T = {0: 500.0}\n", - "A-optimal result is 1099.0219934376676 D-optimal result is 219046.7635612996 E-optimal(minimal eigenvalue) result is 0.5956039117841725 Modified E-optimal (condition number) result is 1395.1046514756501\n", - "At CA0 = 2.5 , T = 550.0 :\n", - "We found the class where CA0 = {0: 2.5} , T = {0: 550.0}\n", - "A-optimal result is 1084.6037033913724 D-optimal result is 211683.9981405787 E-optimal(minimal eigenvalue) result is 0.582550713260004 Modified E-optimal (condition number) result is 1404.9139458158472\n", - "At CA0 = 2.5 , T = 600.0 :\n", - "We found the class where CA0 = {0: 2.5} , T = {0: 600.0}\n", - "A-optimal result is 1076.5180664020631 D-optimal result is 202415.6569987658 E-optimal(minimal eigenvalue) result is 0.5649710487513734 Modified E-optimal (condition number) result is 1436.3383702542444\n", - "At CA0 = 2.5 , T = 650.0 :\n", - "We found the class where CA0 = {0: 2.5} , T = {0: 650.0}\n", - "A-optimal result is 1071.375551053092 D-optimal result is 191937.53934280388 E-optimal(minimal eigenvalue) result is 0.5484060967518005 Modified E-optimal (condition number) result is 1471.700117663225\n", - "At CA0 = 2.5 , T = 700.0 :\n", - "We found the class where CA0 = {0: 2.5} , T = {0: 700.0}\n", - "A-optimal result is 1068.0053792314388 D-optimal result is 181450.69474203617 E-optimal(minimal eigenvalue) result is 0.5354684063529392 Modified E-optimal (condition number) result is 1501.9556383407423\n", - "At CA0 = 3.0 , T = 300.0 :\n", - "We found the class where CA0 = {0: 3.0} , T = {0: 300.0}\n", - "A-optimal result is 1393.3716046215663 D-optimal result is 259404.79249873152 E-optimal(minimal eigenvalue) result is 0.49343292348975076 Modified E-optimal (condition number) result is 2117.757640376852\n", - "At CA0 = 3.0 , T = 350.0 :\n", - "We found the class where CA0 = {0: 3.0} , T = {0: 350.0}\n", - "A-optimal result is 1419.3091640169005 D-optimal result is 248947.0165905633 E-optimal(minimal eigenvalue) result is 0.5262832514343758 Modified E-optimal (condition number) result is 2121.25846562084\n", - "At CA0 = 3.0 , T = 400.0 :\n", - "We found the class where CA0 = {0: 3.0} , T = {0: 400.0}\n", - "A-optimal result is 1256.5001279448131 D-optimal result is 263402.56815271225 E-optimal(minimal eigenvalue) result is 0.6066922513316659 Modified E-optimal (condition number) result is 1602.2755769906482\n", - "At CA0 = 3.0 , T = 450.0 :\n", - "We found the class where CA0 = {0: 3.0} , T = {0: 450.0}\n", - "A-optimal result is 1158.0116494264157 D-optimal result is 265767.57867752825 E-optimal(minimal eigenvalue) result is 0.6425068540890994 Modified E-optimal (condition number) result is 1373.6079632065182\n", - "At CA0 = 3.0 , T = 500.0 :\n", - "We found the class where CA0 = {0: 3.0} , T = {0: 500.0}\n", - "A-optimal result is 1114.9566418120737 D-optimal result is 259295.44468122924 E-optimal(minimal eigenvalue) result is 0.6433044742163505 Modified E-optimal (condition number) result is 1312.5340626707155\n", - "At CA0 = 3.0 , T = 550.0 :\n", - "We found the class where CA0 = {0: 3.0} , T = {0: 550.0}\n", - "A-optimal result is 1094.1943041272043 D-optimal result is 247750.52298677372 E-optimal(minimal eigenvalue) result is 0.6250051674349029 Modified E-optimal (condition number) result is 1322.1585481935238\n", - "At CA0 = 3.0 , T = 600.0 :\n", - "We found the class where CA0 = {0: 3.0} , T = {0: 600.0}\n", - "A-optimal result is 1082.5509868629858 D-optimal result is 233249.44652323253 E-optimal(minimal eigenvalue) result is 0.5997577130991854 Modified E-optimal (condition number) result is 1361.1345665049146\n", - "At CA0 = 3.0 , T = 650.0 :\n", - "We found the class where CA0 = {0: 3.0} , T = {0: 650.0}\n", - "A-optimal result is 1075.1457647738398 D-optimal result is 216995.60713203996 E-optimal(minimal eigenvalue) result is 0.5756785168357853 Modified E-optimal (condition number) result is 1407.0534066169535\n", - "At CA0 = 3.0 , T = 700.0 :\n", - "We found the class where CA0 = {0: 3.0} , T = {0: 700.0}\n", - "A-optimal result is 1070.2927173390817 D-optimal result is 200944.16798299024 E-optimal(minimal eigenvalue) result is 0.5567387556544536 Modified E-optimal (condition number) result is 1447.57068462181\n", - "At CA0 = 3.5 , T = 300.0 :\n", - "We found the class where CA0 = {0: 3.5} , T = {0: 300.0}\n", - "A-optimal result is 1512.7421983402073 D-optimal result is 311399.09067781235 E-optimal(minimal eigenvalue) result is 0.4956344365813532 Modified E-optimal (condition number) result is 2286.542819651653\n", - "At CA0 = 3.5 , T = 350.0 :\n", - "We found the class where CA0 = {0: 3.5} , T = {0: 350.0}\n", - "A-optimal result is 1548.0460986209075 D-optimal result is 295280.74015585403 E-optimal(minimal eigenvalue) result is 0.5382748263648286 Modified E-optimal (condition number) result is 2286.0181487108425\n", - "At CA0 = 3.5 , T = 400.0 :\n", - "We found the class where CA0 = {0: 3.5} , T = {0: 400.0}\n", - "A-optimal result is 1326.444909189725 D-optimal result is 317057.5521865532 E-optimal(minimal eigenvalue) result is 0.6456385390230688 Modified E-optimal (condition number) result is 1601.7324036106527\n", - "At CA0 = 3.5 , T = 450.0 :\n", - "We found the class where CA0 = {0: 3.5} , T = {0: 450.0}\n", - "A-optimal result is 1192.3911481973423 D-optimal result is 320838.015192606 E-optimal(minimal eigenvalue) result is 0.6961225904499246 Modified E-optimal (condition number) result is 1310.4792317939582\n", - "At CA0 = 3.5 , T = 500.0 :\n", - "We found the class where CA0 = {0: 3.5} , T = {0: 500.0}\n", - "A-optimal result is 1133.7884969451964 D-optimal result is 311236.03090905806 E-optimal(minimal eigenvalue) result is 0.6987885964935451 Modified E-optimal (condition number) result is 1231.0552044357423\n", - "At CA0 = 3.5 , T = 550.0 :\n", - "We found the class where CA0 = {0: 3.5} , T = {0: 550.0}\n", - "A-optimal result is 1105.528650449711 D-optimal result is 294005.94852919155 E-optimal(minimal eigenvalue) result is 0.6746854263913779 Modified E-optimal (condition number) result is 1238.6960115595953\n", - "At CA0 = 3.5 , T = 600.0 :\n", - "We found the class where CA0 = {0: 3.5} , T = {0: 600.0}\n", - "A-optimal result is 1089.6808019535226 D-optimal result is 272410.99410904915 E-optimal(minimal eigenvalue) result is 0.6404904869131023 Modified E-optimal (condition number) result is 1283.5532630981627\n", - "At CA0 = 3.5 , T = 650.0 :\n", - "We found the class where CA0 = {0: 3.5} , T = {0: 650.0}\n", - "A-optimal result is 1079.601471888402 D-optimal result is 248413.1467302102 E-optimal(minimal eigenvalue) result is 0.6074436903249106 Modified E-optimal (condition number) result is 1339.1644113924633\n", - "At CA0 = 3.5 , T = 700.0 :\n", - "We found the class where CA0 = {0: 3.5} , T = {0: 700.0}\n", - "A-optimal result is 1072.9959351710581 D-optimal result is 225036.58533753204 E-optimal(minimal eigenvalue) result is 0.5812303281681005 Modified E-optimal (condition number) result is 1389.9708943774162\n", - "At CA0 = 4.0 , T = 300.0 :\n", - "We found the class where CA0 = {0: 4.0} , T = {0: 300.0}\n", - "A-optimal result is 1650.4774987836786 D-optimal result is 377289.9144015313 E-optimal(minimal eigenvalue) result is 0.4977587555583983 Modified E-optimal (condition number) result is 2481.533158401581\n", - "At CA0 = 4.0 , T = 350.0 :\n", - "We found the class where CA0 = {0: 4.0} , T = {0: 350.0}\n", - "A-optimal result is 1696.588715479351 D-optimal result is 353397.8312879253 E-optimal(minimal eigenvalue) result is 0.5506368680154294 Modified E-optimal (condition number) result is 2473.8645149810354\n", - "At CA0 = 4.0 , T = 400.0 :\n", - "We found the class where CA0 = {0: 4.0} , T = {0: 400.0}\n", - "A-optimal result is 1407.150428173226 D-optimal result is 385007.66008115205 E-optimal(minimal eigenvalue) result is 0.6877958792213302 Modified E-optimal (condition number) result is 1607.7050261633747\n", - "At CA0 = 4.0 , T = 450.0 :\n", - "We found the class where CA0 = {0: 4.0} , T = {0: 450.0}\n", - "A-optimal result is 1232.0598006660607 D-optimal result is 390791.50345847104 E-optimal(minimal eigenvalue) result is 0.755936785366837 Modified E-optimal (condition number) result is 1252.164170768648\n", - "At CA0 = 4.0 , T = 500.0 :\n", - "We found the class where CA0 = {0: 4.0} , T = {0: 500.0}\n", - "A-optimal result is 1155.517564889954 D-optimal result is 377055.4844963731 E-optimal(minimal eigenvalue) result is 0.7616413010273266 Modified E-optimal (condition number) result is 1153.56396067208\n", - "At CA0 = 4.0 , T = 550.0 :\n", - "We found the class where CA0 = {0: 4.0} , T = {0: 550.0}\n", - "A-optimal result is 1118.606741960431 D-optimal result is 352265.93053194525 E-optimal(minimal eigenvalue) result is 0.731369368906729 Modified E-optimal (condition number) result is 1157.5019448123237\n", - "At CA0 = 4.0 , T = 600.0 :\n", - "We found the class where CA0 = {0: 4.0} , T = {0: 600.0}\n", - "A-optimal result is 1097.9075112415553 D-optimal result is 321261.1072732417 E-optimal(minimal eigenvalue) result is 0.6870415207970759 Modified E-optimal (condition number) result is 1206.2607176796919\n", - "At CA0 = 4.0 , T = 650.0 :\n", - "We found the class where CA0 = {0: 4.0} , T = {0: 650.0}\n", - "A-optimal result is 1084.742672417322 D-optimal result is 287091.8887813455 E-optimal(minimal eigenvalue) result is 0.6435916597485087 Modified E-optimal (condition number) result is 1270.1548612113952\n", - "At CA0 = 4.0 , T = 700.0 :\n", - "We found the class where CA0 = {0: 4.0} , T = {0: 700.0}\n", - "A-optimal result is 1076.1150325176336 D-optimal result is 254255.2773071438 E-optimal(minimal eigenvalue) result is 0.608797184781677 Modified E-optimal (condition number) result is 1330.7789521030636\n", - "At CA0 = 4.5 , T = 300.0 :\n", - "We found the class where CA0 = {0: 4.5} , T = {0: 300.0}\n", - "A-optimal result is 1806.5775059519992 D-optimal result is 459604.7219933394 E-optimal(minimal eigenvalue) result is 0.4997565607094312 Modified E-optimal (condition number) result is 2702.7543876920536\n", - "At CA0 = 4.5 , T = 350.0 :\n", - "We found the class where CA0 = {0: 4.5} , T = {0: 350.0}\n", - "A-optimal result is 1864.93701458946 D-optimal result is 425293.33387179556 E-optimal(minimal eigenvalue) result is 0.5630645637492117 Modified E-optimal (condition number) result is 2684.360803602728\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "At CA0 = 4.5 , T = 400.0 :\n", - "We found the class where CA0 = {0: 4.5} , T = {0: 400.0}\n", - "A-optimal result is 1498.6167149344094 D-optimal result is 469841.6247280835 E-optimal(minimal eigenvalue) result is 0.7323714028597419 Modified E-optimal (condition number) result is 1620.7512957765398\n", - "At CA0 = 4.5 , T = 450.0 :\n", - "We found the class where CA0 = {0: 4.5} , T = {0: 450.0}\n", - "A-optimal result is 1277.017606694349 D-optimal result is 478375.47935399483 E-optimal(minimal eigenvalue) result is 0.8212252566049608 Modified E-optimal (condition number) result is 1199.9989788371267\n", - "At CA0 = 4.5 , T = 500.0 :\n", - "We found the class where CA0 = {0: 4.5} , T = {0: 500.0}\n", - "A-optimal result is 1180.143839623319 D-optimal result is 459277.25895758584 E-optimal(minimal eigenvalue) result is 0.8314050126325663 Modified E-optimal (condition number) result is 1081.8197040357716\n", - "At CA0 = 4.5 , T = 550.0 :\n", - "We found the class where CA0 = {0: 4.5} , T = {0: 550.0}\n", - "A-optimal result is 1133.428579183614 D-optimal result is 424625.5063295614 E-optimal(minimal eigenvalue) result is 0.7948118154343831 Modified E-optimal (condition number) result is 1080.5771231432936\n", - "At CA0 = 4.5 , T = 600.0 :\n", - "We found the class where CA0 = {0: 4.5} , T = {0: 600.0}\n", - "A-optimal result is 1107.231116021695 D-optimal result is 381369.94743284467 E-optimal(minimal eigenvalue) result is 0.7392823596420406 Modified E-optimal (condition number) result is 1131.228760170931\n", - "At CA0 = 4.5 , T = 650.0 :\n", - "We found the class where CA0 = {0: 4.5} , T = {0: 650.0}\n", - "A-optimal result is 1090.569366309676 D-optimal result is 334072.2908212103 E-optimal(minimal eigenvalue) result is 0.6840342314306751 Modified E-optimal (condition number) result is 1201.6870700885588\n", - "At CA0 = 4.5 , T = 700.0 :\n", - "We found the class where CA0 = {0: 4.5} , T = {0: 700.0}\n", - "A-optimal result is 1079.6500095886515 D-optimal result is 289208.71561637335 E-optimal(minimal eigenvalue) result is 0.6393346215801524 Modified E-optimal (condition number) result is 1271.2648772423802\n", - "At CA0 = 5.0 , T = 300.0 :\n", - "We found the class where CA0 = {0: 5.0} , T = {0: 300.0}\n", - "A-optimal result is 1981.0422198461438 D-optimal result is 561207.9662178434 E-optimal(minimal eigenvalue) result is 0.5016011129279737 Modified E-optimal (condition number) result is 2950.219453820002\n", - "At CA0 = 5.0 , T = 350.0 :\n", - "We found the class where CA0 = {0: 5.0} , T = {0: 350.0}\n", - "A-optimal result is 2053.0909959474125 D-optimal result is 513228.2976445542 E-optimal(minimal eigenvalue) result is 0.5753167063296618 Modified E-optimal (condition number) result is 2917.190381044787\n", - "At CA0 = 5.0 , T = 400.0 :\n", - "We found the class where CA0 = {0: 5.0} , T = {0: 400.0}\n", - "A-optimal result is 1600.843654620789 D-optimal result is 574493.5923426447 E-optimal(minimal eigenvalue) result is 0.7786241106559912 Modified E-optimal (condition number) result is 1641.1009368547748\n", - "At CA0 = 5.0 , T = 450.0 :\n", - "We found the class where CA0 = {0: 5.0} , T = {0: 450.0}\n", - "A-optimal result is 1327.2645659113318 D-optimal result is 586703.6867346049 E-optimal(minimal eigenvalue) result is 0.8912447563558519 Modified E-optimal (condition number) result is 1154.5643300518498\n", - "At CA0 = 5.0 , T = 500.0 :\n", - "We found the class where CA0 = {0: 5.0} , T = {0: 500.0}\n", - "A-optimal result is 1207.667323148074 D-optimal result is 560761.244544903 E-optimal(minimal eigenvalue) result is 0.9075873160350136 Modified E-optimal (condition number) result is 1016.6953838933143\n", - "At CA0 = 5.0 , T = 550.0 :\n", - "We found the class where CA0 = {0: 5.0} , T = {0: 550.0}\n", - "A-optimal result is 1149.9941629861146 D-optimal result is 513459.05664163764 E-optimal(minimal eigenvalue) result is 0.8647458183914464 Modified E-optimal (condition number) result is 1009.1034533531276\n", - "At CA0 = 5.0 , T = 600.0 :\n", - "We found the class where CA0 = {0: 5.0} , T = {0: 600.0}\n", - "A-optimal result is 1117.6516142451649 D-optimal result is 454517.04885885824 E-optimal(minimal eigenvalue) result is 0.7970814188484145 Modified E-optimal (condition number) result is 1059.7997094874358\n", - "At CA0 = 5.0 , T = 650.0 :\n", - "We found the class where CA0 = {0: 5.0} , T = {0: 650.0}\n", - "A-optimal result is 1097.0815536086095 D-optimal result is 390533.5375384314 E-optimal(minimal eigenvalue) result is 0.7286990827395959 Modified E-optimal (condition number) result is 1134.9974877008417\n", - "At CA0 = 5.0 , T = 700.0 :\n", - "We found the class where CA0 = {0: 5.0} , T = {0: 700.0}\n", - "A-optimal result is 1083.6008663096845 D-optimal result is 330586.4905784959 E-optimal(minimal eigenvalue) result is 0.6727727401066618 Modified E-optimal (condition number) result is 1212.388775069196\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "heatmap = Grid_Search_Result(design_ranges, all_fim, store_optimality_name='test_heatmap.csv')\n", "\n", From 225647e600bcb67389a1a40202126044de8a0b78 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Tue, 3 Aug 2021 11:51:06 -0400 Subject: [PATCH 03/42] add solver_options ma57 to sIPOPT --- pyomo/contrib/doe/DoE_package.py | 2 +- pyomo/contrib/sensitivity_toolbox/sens.py | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/pyomo/contrib/doe/DoE_package.py b/pyomo/contrib/doe/DoE_package.py index 2627b99fdfe..aac73547b04 100644 --- a/pyomo/contrib/doe/DoE_package.py +++ b/pyomo/contrib/doe/DoE_package.py @@ -381,7 +381,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # solve model if self.mode =='sequential_sipopt': - m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=self.tee_opt) + m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=self.tee_opt, solver_options='ma57') # TODO: add k_aug solver else: m_sipopt = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=True) diff --git a/pyomo/contrib/sensitivity_toolbox/sens.py b/pyomo/contrib/sensitivity_toolbox/sens.py index 3539fd4221a..417c29f988f 100644 --- a/pyomo/contrib/sensitivity_toolbox/sens.py +++ b/pyomo/contrib/sensitivity_toolbox/sens.py @@ -169,6 +169,8 @@ def sensitivity_calculation(method, instance, paramList, perturbList, if method == 'sipopt': ipopt_sens = SolverFactory('ipopt_sens', solver_io='nl') ipopt_sens.options['run_sens'] = 'yes' + if solver_options is not None: + ipopt_sens.options['linear_solver'] = solver_options # Send the model to ipopt_sens and collect the solution results = ipopt_sens.solve(m, keepfiles=keepfiles, tee=tee) From 8fb3e82481d9085b345c9a88adfd4e6e5a1bad92 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Thu, 5 Aug 2021 14:19:10 -0400 Subject: [PATCH 04/42] changes according to reviews --- pyomo/contrib/doe/DoE_package.py | 585 +++++++------ pyomo/contrib/doe/dynamic.csv | 8 +- pyomo/contrib/doe/reactor_control_doe.ipynb | 869 +++++++++++++++----- 3 files changed, 963 insertions(+), 499 deletions(-) diff --git a/pyomo/contrib/doe/DoE_package.py b/pyomo/contrib/doe/DoE_package.py index aac73547b04..62066921526 100644 --- a/pyomo/contrib/doe/DoE_package.py +++ b/pyomo/contrib/doe/DoE_package.py @@ -1,17 +1,11 @@ import numpy as np import matplotlib.pyplot as plt -from matplotlib.patches import Ellipse -import matplotlib.transforms as transforms -from scipy.stats import chi2 from pyomo.environ import * from pyomo.dae import * import pandas as pd import time -import os import pickle -import csv -#import idaes -#from pyomo.contrib.sensitivity_toolbox.sens import sipopt +from itertools import permutations, product from pyomo.contrib.sensitivity_toolbox.sens import sensitivity_calculation @@ -19,10 +13,12 @@ class DesignOfExperiments: def __init__(self, param_init, design_variable_timepoints, measurement_variables, measurement_timeset, create_model, solver=None, prior_FIM=None, discretize_model=None, verbose=True): ''' - This package solves DOE by optimization, and enumeration. - Optimization feature can solve dynamic or static models, while enumeration only solves static models where design variables are constant throughout the experiment. - They both support integrating with Pyomo.DAE. - + This package enables model-based design of experiments analysis with Pyomo. Both direct optimization and enumeration modes are supported. + NLP sensitivity tools, e.g., sipopt and k_aug, are supported to accelerate analysis via enumeration. + It can be applied to dynamic models, where design variables are controlled throughout the experiment. + + Parameters: + ----------- param_init: a dictionary of parameter names and values. If they are an indexed variable, put the variable name and index, such as 'theta["A1"]'. Note: if sIPOPT is used, parameter shouldn't be indexed. design_variable_timepoints: a dictionary, keys are design variable names, values are its control time points. if this design var is independent of time (constant), set the time to [0] @@ -102,7 +98,11 @@ def __check_inputs(self, check_mode=False, check_dimension_dv=False): if check_dimension_dv: # input check, only for heatmap # check if there are two design variables and two ranges - if not len(self.dv_ranges.keys()) == 2: + grid_search_dv_dimension = 0 + for i in self.dv_name: + if i in self.dv_apply_time: + grid_search_dv_dimension += len(list(self.dv_apply_time[i].values())) + if grid_search_dv_dimension != 2: raise ValueError('Deign variable should be 2') @@ -117,22 +117,32 @@ def optimize_doe(self, design_values, if_optimize=True, obj_opt='det', the given initial points, and then unfix the design variable and do the optimization. - Args: - design_values: initial point for optimization, a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point - if_optimize: if True, continue to do optimization. else, just run square problem with given design variable values - obj_opt: choose from 'det' and 'trace' - scale_nominal_param_value: if scale Jacobian by the corresponding parameter nominal value - scale_constant_value: how many order of magnitudes the Jacobian value is magnified by. Use when the Jac or FIM value is too small - if_cho: if true, cholesky decomposition is used for Objective function (to optimize determinant). - L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 - L_initial: initialize the L - formula: Finite difference formula, choose from 'central', 'forward', 'backward', None - step: Finite difference sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 - check: if True check input toggles consistency to be checked multiple times. + Parameters: + ----------- + design_values: initial point for optimization, a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point + if_optimize: if True, continue to do optimization. else, just run square problem with given design variable values + obj_opt: supporting maximizing the 'det' determinant or the 'trace' trace of the FIM + scale_nominal_param_value: if scale Jacobian by the corresponding parameter nominal value + scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small + if_cho: if true, cholesky decomposition is used for Objective function (to optimize determinant). + L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 + L_initial: initialize the L + formula: Finite difference formula, choose from 'central', 'forward', 'backward', None + step: Finite difference sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + check: if True check input toggles consistency to be checked multiple times. Returns: - analysis_square: result summary of the square problem solved at the initial point - analysis_optimize: result summary of the optimization problem solved + -------- + analysis_square: result summary of the square problem solved at the initial point + analysis_optimize: result summary of the optimization problem solved + + Steps: + ------ + 1, Build two-stage stochastic programming optimization model where scenarios correspond to + finite difference approximations for the Jacobian of the response variables with respect to calibrated model parameters + 2, Fix the experiment design decisions and solve a square (i.e., zero degrees of freedom) instance of the two-stage DOE problem. + This step is for initialization. + 3, Unfix the experiment design decisions and solve the two-stage DOE problem. ''' # store inputs in object @@ -148,8 +158,8 @@ def optimize_doe(self, design_values, if_optimize=True, obj_opt='det', self.step = step self.tee_opt = True - # calculate how much the FIM element is magnified - # FIM = Q.T@Q, the FIM is scaled by squared value the Jacobian is scaled + # calculate how much the FIM element is scaled by a constant number + # FIM = Jacobian.T@Jacobian, the FIM is scaled by squared value the Jacobian is scaled self.fim_scale_constant_value = self.scale_constant_value **2 # check if inputs are valid @@ -188,33 +198,34 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No ''' This function solves a square Pyomo model with fixed design variables to compute the FIM. The problem is structured in one of the four following modes: - 1, simultaneous_finite: Calculate a multiple scenario model. Sensitivity info estimated by finite difference + 1, simultaneous_finite: Calculate a multiple scenario model. Sensitivity info estimated by finite difference. Instead of 1, 2, sequential_finite: Calculates a one scenario model multiple times for multiple scenarios. Sensitivity info estimated by finite difference 3, sequential_sipopt: calculate sensitivity by sIPOPT. 4, sequential_kaug: calculate sensitivity by k_aug - Argument: - General: - design_values: a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point - mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' - FIM_store_name: if storing the FIM in a .csv, give the file name here as a string, '**.csv' or '**.txt'. - specified_prior: if user needs a different prior, replace this toggle without creating a new object - tee_opt: if IPOPT console output is printed - scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init - scale_constant_value: how many order of magnitudes the Jacobian value is magnified by. Use when the Jac or FIM value is too small + Parameters: + ----------- + design_values: a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point + mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' + FIM_store_name: if storing the FIM in a .csv, give the file name here as a string, '**.csv' or '**.txt'. + specified_prior: if user needs a different prior, replace this toggle without creating a new object + tee_opt: if IPOPT console output is printed + scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init + scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small Only effective when finite=True: - formula: choose from 'central', 'forward', 'backward', None - step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + formula: choose from 'central', 'forward', 'backward', None + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 Cholesky option: if_Cho: if true, Cholesky decomposition is used for Objective function (to optimize determinant). - L_LB: if FIM is positive definite, the diagonal element should be positive, so we can set a LB like 1E-10 - L_initial: initialize the L + L_LB: if FIM is positive definite, the diagonal element should be positive, so we can set a LB like 1E-10 + L_initial: initialize the L Return: - FIM_analysis: result summary object of this solve + ------- + FIM_analysis: result summary object of this solve ''' # save inputs in object self.design_values = design_values @@ -226,7 +237,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # This method only solves square problem self.optimize = False - # Set the OF to 0 helps solve square problem quickly + # Set the Objective Function to 0 helps solve square problem quickly self.obj_opt = 'zero' self.tee_opt = tee_opt @@ -234,8 +245,8 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No self.L_LB = L_LB self.L_initial = L_initial - # calculate how much the FIM element is magnified - # As FIM~Q.T@Q, FIM is scaled twice the number the Q is scaled + # calculate how much the FIM element is scaled by a constant number + # As FIM~Jacobian.T@Jacobian, FIM is scaled twice the number the Q is scaled self.fim_scale_constant_value = self.scale_constant_value ** 2 # check inputs valid @@ -322,7 +333,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No jac[para] = list_jac - # analyze results + # Assemble and analyze results if specified_prior is None: prior_in_use = self.prior_FIM else: @@ -330,7 +341,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No FIM_analysis = FIM_result(self.param, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) - # add jacobian info to the object so that users can have access + # Store the Jacobian information for access by users self.jac = jac return FIM_analysis @@ -369,7 +380,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No time_set.append(value(t)) # add sIPOPT perturbation parameters - mod = self.__add_para(mod, perturb=pa) + mod = self.__add_parameter(mod, perturb=pa) # parameter name lists for sipopt list_original = [] @@ -422,38 +433,42 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # get Jacobian dict, keys are parameter name, values are sensitivity info jac[para] = list_jac - # analyze results + # check if another prior experiment FIM is provided other than the user-specified one if specified_prior is None: prior_in_use = self.prior_FIM else: prior_in_use = specified_prior - # analyze results + # Assemble and analyze results FIM_analysis = FIM_result(self.param, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) self.jac = jac - #self.square_result = None return FIM_analysis + else: + raise ValueError('This is not a valid mode. Choose from "sequential_finite", "simultaneous_finite", "sequential_sipopt", "sequential_kaug"') + - def sequential_exp(self, design_values_set, mode='sequential_finite', tee_option=False, + def generate_sequential_experiments(self, design_values_set, mode='sequential_finite', tee_option=False, scale_nominal_param_value=False, scale_constant_value=1, formula='central', step=0.001): ''' Run a series of experiments sequentially, and use the FIM from one experiment as the prior information for the next experiment - Args: - design_values_set: a list of experiments, each element is one design_values dictionary - mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' - tee_option: if IPOPT console output is printed - scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init - scale_constant_value: how many order of magnitudes the Jacobian value is magnified by. Use when the Jac or FIM value is too small - formula: choose from 'central', 'forward', 'backward', None - step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + Parameters: + ----------- + design_values_set: a list of experiments, each element is one design_values dictionary + mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' + tee_option: if IPOPT console output is printed + scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init + scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small + formula: choose from 'central', 'forward', 'backward', None + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 Returns: - result_obj_list: a list of the result summary objects of every experiment - fim_list: a list of the FIM of every experiment + -------- + result_obj_list: a list of the result summary objects of every experiment + fim_list: a list of the FIM of every experiment ''' # how many exps to run in a row self.no_exp = len(design_values_set) @@ -462,9 +477,10 @@ def sequential_exp(self, design_values_set, mode='sequential_finite', tee_option self.mode = mode self.scale_nominal_param_value = scale_nominal_param_value self.scale_constant_value = scale_constant_value - self.obj_opt = 'det' + # Set the Objective Function to 0 helps solve square problem quickly + self.obj_opt = 'zero' - # calculate how much the FIM element is magnified + # calculate how much the FIM element is scaled by a constant number self.fim_scale_constant_value = self.scale_constant_value ** 2 self.__check_inputs(check_mode=True, check_dimension_dv=False) @@ -516,36 +532,37 @@ def run_grid_search(self, design_values, dv_ranges, dv_apply_time, mode='sequent 3, Sequential_sipopt: calculate sensitivity by sIPOPT. 4, Sequential_kaug: calculate sensitivity by k_aug - Argument: - General: - design_values: a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point - dv_ranges: a dict whose keys are design variable names, values are a list of design variable values to go over - dv_apply_time: a dict whose keys are design variable names, values are a list of control time points that - should be fixed to the values in dv_ranges - mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' - tee_option: if IPOPT console output is made - scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init - scale_constant_value: how many order of magnitudes the Jacobian value is magnified by. Use when the Jac or FIM value is too small - filename: if True, grid search results stored with this file name + Parameters: + ----------- + design_values: a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point + dv_ranges: a dict whose keys are design variable names, values are a list of design variable values to go over + dv_apply_time: a dict whose keys are design variable names, values are a list of control time points that + should be fixed to the values in dv_ranges + mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' + tee_option: if IPOPT console output is made + scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init + scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small + filename: if True, grid search results stored with this file name Only effective when finite=True: - formula: choose from 'central', 'forward', 'backward', None - step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + formula: choose from 'central', 'forward', 'backward', None + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 Return: - result_combine: a list of dictionaries, which stores the FIM info from every grid searched. + ------- + result_combine: a list of dictionaries, which stores the FIM info from every grid searched. ''' self.dv_ranges = dv_ranges self.dv_apply_time = dv_apply_time self.formula = formula self.mode = mode - # it can be det or trace as it is not optimizing now. put it here for the check_inputs() self.scale_nominal_param_value = scale_nominal_param_value self.scale_constant_value = scale_constant_value - self.obj_opt='det' + # Set the Objective Function to 0 helps solve square problem quickly + self.obj_opt='zero' self.filename = filename - # calculate how much the FIM element is magnified + # calculate how much the FIM element is scaled self.fim_scale_constant_value = self.scale_constant_value ** 2 self.__check_inputs(check_mode=True, check_dimension_dv=True) @@ -633,22 +650,24 @@ def sensitivity_analysis_1D(self, design_values, design_var_range, sensitivity_s ''' This method is used for 1D sensitivity analysis. TODO: Let's decide if we are gonna keep this. This seems not necessary to this package. - Args: - design_values: a dict whose keys are design variable names, - values are a dict whose keys are time point and values are the design variable value at that time point - design_var_range: a dict, the key is the design variable name to conduct analysis, - the value is a list [Lower bound, Upper bound] for this sensitivity analysis - sensitivity_step: the interval of the design range. For e.g., 0.2 in [2,3], then design variable is computed at [2,2.2,2.4,2.6,2.8] - compare_opt: which design criteria is to compare. Choose from 'A', 'D', 'E', 'ME' - mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' - tee_option: if IPOPT console output is printed - scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init - scale_constant_value: how many order of magnitudes the Jacobian value is magnified by. Use when the Jac or FIM value is too small - formula: choose from 'central', 'forward', 'backward', None - step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + Parameters: + ----------- + design_values: a dict whose keys are design variable names, + values are a dict whose keys are time point and values are the design variable value at that time point + design_var_range: a dict, the key is the design variable name to conduct analysis, + the value is a list [Lower bound, Upper bound] for this sensitivity analysis + sensitivity_step: the interval of the design range. For e.g., 0.2 in [2,3], then design variable is computed at [2,2.2,2.4,2.6,2.8] + compare_opt: which design criteria is to compare. Choose from 'A', 'D', 'E', 'ME' + mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' + tee_option: if IPOPT console output is printed + scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init + scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small + formula: choose from 'central', 'forward', 'backward', None + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 Returns: - result_list: a list of the specified optimality value + -------- + result_list: a list of the specified optimality value ''' self.design_values = design_values @@ -656,9 +675,10 @@ def sensitivity_analysis_1D(self, design_values, design_var_range, sensitivity_s self.mode = mode self.scale_nominal_param_value = scale_nominal_param_value self.scale_constant_value = scale_constant_value + # Set the Objective Function to 0 helps solve square problem quickly self.obj_opt = 'zero' - # calculate how much the FIM element is magnified + # calculate how much the FIM element is scaled self.fim_scale_constant_value = self.scale_constant_value ** 2 self.__check_inputs(check_mode=True, check_dimension_dv=False) @@ -723,26 +743,27 @@ def __create_doe_model(self): ''' Add features for DOE. - Information needed from self object: - self.measurement_variables: the variable name of the model output, for e.g., ['CA', 'CB', 'CC']. - self.measurement_timeset: a list of measurement time points. can be different from control time points - self.design_values: a dict of dictionaries, keys are the name of design variables, values are a dict where keys are the time points, values are the design variable value at that time point - - DoE options: - self.optimize: if True, solve the problem unfixing the design variables. if False, solve the problem as a - square problem - self.obj_opt: choose from 'det' or 'trace'. Optimization problem maximizes determinant or trace. - self.scale_nominal_param_value: if True, scale FIM but not scale Jacobian. This toggle can be opened for better performance when the - problem is poorly scaled. - self.tee_opt: if True, print IPOPT console output - self.cho_opt: if true, cholesky decomposition is used for Objective function (to optimize determinant). If true, determinant will not be calculated. - self.L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 - self.L_initial: initialize the L - self.formula: choose from 'central', 'forward', 'backward', None - self.step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + Parameters: + ----------- + self.measurement_variables: the variable name of the model output, for e.g., ['CA', 'CB', 'CC']. + self.measurement_timeset: a list of measurement time points. can be different from control time points + self.design_values: a dict of dictionaries, keys are the name of design variables, values are a dict where keys are the time points, values are the design variable value at that time point + + self.optimize: if True, solve the problem unfixing the design variables. if False, solve the problem as a + square problem + self.obj_opt: choose from 'det' or 'trace'. Optimization problem maximizes determinant or trace. + self.scale_nominal_param_value: if True, scale FIM but not scale Jacobian. This toggle can be opened for better performance when the + problem is poorly scaled. + self.tee_opt: if True, print IPOPT console output + self.cho_opt: if true, cholesky decomposition is used for Objective function (to optimize determinant). If true, determinant will not be calculated. + self.L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 + self.L_initial: initialize the L + self.formula: choose from 'central', 'forward', 'backward', None + self.step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 Return: - m: the solved DOE model + ------- + m: the solved DOE model ''' # call generator function to get scenario dictionary scena_gen = Scenario_generator(self.param_init, formula=self.formula, step=self.step, store=True) @@ -871,7 +892,7 @@ def calc_FIM(m,j,d): def trace_calc(m): ''' - Calculate FIM elements. Can magnify each element with 1000 for performance + Calculate FIM elements. Can scale each element with 1000 for performance ''' sum_x = 0 for j in m.para_set: @@ -887,7 +908,7 @@ def det_general(m): ''' r_list = list(range(len(m.para_set))) # get all permutations - object_p = permutations(r_list) + object_p = itertools.permutations(r_list) list_p = list(object_p) # generate a name_order to iterate \sigma_i @@ -918,11 +939,11 @@ def cholesky_imp(m,c,d): return Constraint.Skip - ### Constraints and OF + ### Constraints and Objective function m.dC_value = Constraint(m.y_set, m.para_set, m.tmea_set, rule=jac_numerical) m.ele_rule = Constraint(m.para_set, m.para_set, rule=calc_FIM) - # Only giving OF when there's DOF. Make OBJ=0 when it's a square problem, which helps converge. + # Only giving the objective function when there's Degree of freedom. Make OBJ=0 when it's a square problem, which helps converge. if self.optimize: # if cholesky, calculating L and evaluate the OBJ with Cholesky decomposition if self.cho_opt: @@ -947,13 +968,15 @@ def cholesky_imp(m,c,d): def __fix_design(self, m, design_val, fix_opt=True): ''' Fix design variable - Args: - m: model - design_val: design variable values dict - fix_opt: if True, fix. Else, unfix + Parameters: + ----------- + m: model + design_val: design variable values dict + fix_opt: if True, fix. Else, unfix Returns: - m: model + -------- + m: model ''' # loop over the design variables and time index and to fix values specified in design_val for d, dname in enumerate(self.dv_name): @@ -979,11 +1002,14 @@ def __solve_doe(self, m, fix=False): If it's a square problem, fix design variable and solve. Else, fix design variable and solve square problem firstly, then unfix them and solve the optimization problem + Parameters: + ----------- m:model fix: if True, solve two times (square first). Else, just solve the square problem Return: - solver_results: solver results + ------- + solver_results: solver results ''' ### Solve square problem mod = self.__fix_design(m, self.design_values, fix_opt=fix) @@ -993,17 +1019,20 @@ def __solve_doe(self, m, fix=False): return solver_result - def __add_para(self, m, perturb=0): + def __add_parameter(self, m, perturb=0): ''' For sIPOPT: add parameter perturbation set + + Parameters: + ----------- m: model name self.param_names: perturbation parameter names perturb: which parameter to perturb ''' # model parameters perturbation, backward disturb - param_do = self.param_v.copy() + param_backward = self.param_v.copy() # perturb parameter - param_do[perturb] *= (1-self.step) + param_backward[perturb] *= (1-self.step) # generate sIPOPT perturbed parameter names param_perturb_names = self.param.copy() @@ -1016,7 +1045,7 @@ def __add_para(self, m, perturb=0): if self.verbose: print('Perturbation parameters are set:') for change in range(len(self.perturb_names)): - setattr(m, self.perturb_names[change], Param(m.scena, initialize=param_do[change])) + setattr(m, self.perturb_names[change], Param(m.scena, initialize=param_backward[change])) if self.verbose: print(self.perturb_names[change], ': ', value(eval('m.'+self.perturb_names[change]+'[0]'))) return m @@ -1028,9 +1057,10 @@ def __init__(self, para_dict, formula='central', step=0.001, store=False): DoE library first calls this function to generate scenarios. For sequential and simultaneous models, call different functions in this class. - Args: + Parameters: + ----------- para_dict: a Dict of parameter, keys are names, values are their nominal value. for e.g., - {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + {'A1': 84.79, 'A2': 371.72, 'E1': 7.78, 'E2': 15.05} formula: choose from 'central', 'forward', 'backward', None. step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 store: if store results @@ -1055,17 +1085,18 @@ def simultaneous_scenario(self): ''' Generate scenario dict for simultaneous models - Return: - scena_overall: a dictionary containing scenarios dictionaries. - scena_overall[name of parameter]: a dict, keys are the scenario name(numeric integer starting from 0), values are parameter value in this scenario - scena_overall['jac-index']: keys are parameter name, values are the scenario names perturbing this parameter. - scena_overall['eps-abs']: keys are parameter name, values are the step it is perturbed - scena_overall['scena-name']: a list of scenario names - - For e.g., if a dict {'P':100, 'D':20} is given, step=0.1, formula='central', it will return: - scena_overall = {'P': {0: 101.0, 1: 100, 2: 99.0, 3: 100}, 'D': {0: 20, 1: 20.2, 2: 20, 3: 19.8}, 'jac-index': {'P': [0, 2], 'D': [1, 3]}, 'eps-abs': {'P': 2.0, 'D': 0.4}, 'scena-name': [0, 1, 2, 3]} - if formula ='forward', it will return: - scena_overall = {'P':{'0':110, '1':100, '2':100}, 'D':{'0':20, '1':22, '2':20}, 'jac-index':{'P':[0,2], 'D':[1,2]}, 'eps-abs':{'P':10,'D':2}, 'scena-name': [0,1,2]} + Returns: + ------- + scena_overall: a dictionary containing scenarios dictionaries. + scena_overall[name of parameter]: a dict, keys are the scenario name(numeric integer starting from 0), values are parameter value in this scenario + scena_overall['jac-index']: keys are parameter name, values are the scenario names perturbing this parameter. + scena_overall['eps-abs']: keys are parameter name, values are the step it is perturbed + scena_overall['scena-name']: a list of scenario names + + For e.g., if a dict {'P':100, 'D':20} is given, step=0.1, formula='central', it will return: + scena_overall = {'P': {0: 101.0, 1: 100, 2: 99.0, 3: 100}, 'D': {0: 20, 1: 20.2, 2: 20, 3: 19.8}, 'jac-index': {'P': [0, 2], 'D': [1, 3]}, 'eps-abs': {'P': 2.0, 'D': 0.4}, 'scena-name': [0, 1, 2, 3]} + if formula ='forward', it will return: + scena_overall = {'P':{'0':110, '1':100, '2':100}, 'D':{'0':20, '1':22, '2':20}, 'jac-index':{'P':[0,2], 'D':[1,2]}, 'eps-abs':{'P':10,'D':2}, 'scena-name': [0,1,2]} ''' # generate scenarios scena_keys, scena = self.__scena_generate(self.scenario_nominal, self.formula) @@ -1088,11 +1119,11 @@ def next_sequential_scenario(self, count): ''' Generate a single scenario class for one of the sequential models - Parameters + Parameters: ---------- count: the No. of the sequential models - Returns + Returns: ------- scenario_next: scenario dict for this sequential model ''' @@ -1108,7 +1139,7 @@ def generate_sequential_para(self): ''' Generate object and some 'parameters' for sequential models - Returns (added to self object) + Returns (added to self object): ------- self.scena_keys: scenario name, a list of numbers self.scena: a list of parameter dictionaries for all sequential models @@ -1148,7 +1179,8 @@ def __scena_generate(self, para_nominal, formula): ''' Generate scenario logics - Return: (store in self object) + Returns: (store in self object) + -------- self.scena_keys: a list of scenario names self.scena: a dict, keys are scenario names, values are a list of parameter values ''' @@ -1210,17 +1242,18 @@ def __init__(self, parameter_dict, scena_keys, scena, form, step): form: choose from 'central', 'forward', 'backward', 'none'. step: stepsize of a fraction, such as 0.01 - Return: - scena_dict: a dictionary containing scenarios dictionaries. - scena_dict[name of parameter]: a dict, keys are the scenario name(numeric integer starting from 0), values are parameter value in this scenario - scena_dict['jac-index']: keys are parameter name, values are the scenario names perturbing this parameter. - scena_dict['eps-abs']: keys are parameter name, values are the step it is perturbed - scena_dict['scena-name']: a list of scenario names - - For e.g., if a dict {'P':100, 'D':20} is given, step=0.1, formula='central', it will return: - scena_dict = {'P': {0: 101.0, 1: 100, 2: 99.0, 3: 100}, 'D': {0: 20, 1: 20.2, 2: 20, 3: 19.8}, 'jac-index': {'P': [0, 2], 'D': [1, 3]}, 'eps-abs': {'P': 2.0, 'D': 0.4}, 'scena-name': [0, 1, 2, 3]} - if formula ='forward', it will return: - scena_dict = {'P':{'0':110, '1':100, '2':100}, 'D':{'0':20, '1':22, '2':20}, 'jac-index':{'P':[0,2], 'D':[1,2]}, 'eps-abs':{'P':10,'D':2}, 'scena-name': [0,1,2]} + Returns: + -------- + scena_dict: a dictionary containing scenarios dictionaries. + scena_dict[name of parameter]: a dict, keys are the scenario name(numeric integer starting from 0), values are parameter value in this scenario + scena_dict['jac-index']: keys are parameter name, values are the scenario names perturbing this parameter. + scena_dict['eps-abs']: keys are parameter name, values are the step it is perturbed + scena_dict['scena-name']: a list of scenario names + + For e.g., if a dict {'P':100, 'D':20} is given, step=0.1, formula='central', it will return: + scena_dict = {'P': {0: 101.0, 1: 100, 2: 99.0, 3: 100}, 'D': {0: 20, 1: 20.2, 2: 20, 3: 19.8}, 'jac-index': {'P': [0, 2], 'D': [1, 3]}, 'eps-abs': {'P': 2.0, 'D': 0.4}, 'scena-name': [0, 1, 2, 3]} + if formula ='forward', it will return: + scena_dict = {'P':{'0':110, '1':100, '2':100}, 'D':{'0':20, '1':22, '2':20}, 'jac-index':{'P':[0,2], 'D':[1,2]}, 'eps-abs':{'P':10,'D':2}, 'scena-name': [0,1,2]} ''' # get info from parameter dictionary self.para_dict = parameter_dict @@ -1285,13 +1318,14 @@ def __init__(self, para_name, prior_FIM=None, store_FIM=None, scale_constant_val ''' Analyze the FIM result for a single run - Args: - para_name: parameter names - prior_FIM: if there's prior FIM to be added - store_FIM: if storing the FIM in a .csv, give the file name here as a string, '**.csv' or '**.txt'. - scale_constant_value: the constant value used to scale the sensitivity - max_condition_number: max condition number - verbose: if print statements are used + Parameters: + ----------- + para_name: parameter names + prior_FIM: if there's prior FIM to be added + store_FIM: if storing the FIM in a .csv, give the file name here as a string, '**.csv' or '**.txt'. + scale_constant_value: the constant value used to scale the sensitivity + max_condition_number: max condition number + verbose: if print statements are used ''' self.para_name = para_name self.prior_FIM = prior_FIM @@ -1305,28 +1339,31 @@ def calculate_FIM(self, jaco_info, dv_values, result=None): ''' Calculate FIM from Jacobian information. This is for grid search (combined models) results - Args: - jaco_info: jacobian dictionary - dv_values: design variable value dictionary - sq_result: solver status returned by IPOPT + Parameters: + ----------- + jaco_info: jacobian dictionary + dv_values: design variable value dictionary + sq_result: solver status returned by IPOPT Return: - fim_info: a FIM dictionary - ~['FIM']: FIM itself - ~[design variable name]: design variable values at each time point - ~['Trace']: Trace - ~['Determinant']: determinant - ~['Condition number:']: condition number - ~['Minimal eigen value:']: minimal eigen value - ~['Eigen values:']: all eigen values - ~['Eigen vectors:']: all eigen vectors - solver_info: a solver infomation dictionary - ~['square']: square result solver status + ------ + fim_info: a FIM dictionary containing the following key:value pairs + ~['FIM']: a list containing FIM itself + ~[design variable name]: a list of design variable values at each time point + ~['Trace']: a scalar number of Trace + ~['Determinant']: a scalar number of determinant + ~['Condition number:']: a scalar number of condition number + ~['Minimal eigen value:']: a scalar number of minimal eigen value + ~['Eigen values:']: a list of all eigen values + ~['Eigen vectors:']: a list of all eigen vectors + solver_info: a solver infomation dictionary containing the following key:value pairs + ~['square']: a string of square result solver status ''' self.result = result self.doe_result = None # create a dict for FIM. It has the same keys as the Jacobian dict. + # get number of parameters no_param = len(self.para_name) ### calculate the FIM fim = np.zeros((no_param, no_param)) @@ -1348,11 +1385,13 @@ def calculate_FIM(self, jaco_info, dv_values, result=None): if np.linalg.cond(fim) > self.max_condition_number: print("Warning: FIM is near singular.") + print('The condition number is:', np.linalg.cond(fim), ';') + print('A condition number bigger than ', self.max_condition_number, ' is considered near singular.') # call private methods self.__print_FIM_info(fim, dv_set=dv_values) if self.result is not None: - self.__solver_info() + self.__get_solver_info() # if given store file name, store the FIM if (self.store_FIM is not None): @@ -1362,32 +1401,34 @@ def extract_FIM(self, m, dv_set, result, obj=None, add_fim=False): ''' Extract FIM from an invasive model - Args: - m: model - dv_set: design variable value dictionary - result: problem solver status by IPOPT - obj: chosen from 'det' and 'trace' - add_fim: if the given FIM needs to be added. Do not add for optimize_doe(). + Parameters: + ----------- + m: model + dv_set: design variable value dictionary + result: problem solver status by IPOPT + obj: chosen from 'det' and 'trace' + add_fim: if the given FIM needs to be added. Do not add for optimize_doe(). Return: - fim_info: a FIM dictionary - ~['FIM']: FIM itself - ~[design variable name]: design variable values at each time point - ~['Trace']: Trace - ~['Determinant']: determinant - ~['Condition number:']: condition number - ~['Minimal eigen value:']: minimal eigen value - ~['Eigen values:']: all eigen values - ~['Eigen vectors:']: all eigen vectors - model_info: model solutions dictionary - ~['obj']: objective function value - ~['det']: determinant calculated by the model (different from FIM_info['det'] which - is calculated by numpy) - -['trace']: trace calculated by the model - -[design variable name]: design variable solution - solver_status: a solver infomation dictionary - ~['square']: square result solver status - -['doe']: doe result solver status + ------ + fim_info: a FIM dictionary containing the following key:value pairs + ~['FIM']: a list of FIM itself + ~[design variable name]: a list of design variable values at each time point + ~['Trace']: a scalar number of Trace + ~['Determinant']: a scalar number of determinant + ~['Condition number:']: a scalar number of condition number + ~['Minimal eigen value:']: a scalar number of minimal eigen value + ~['Eigen values:']: a list of all eigen values + ~['Eigen vectors:']: a list of all eigen vectors + model_info: model solutions dictionary containing the following key:value pairs + ~['obj']: a scalar number of objective function value + ~['det']: a scalar number of determinant calculated by the model (different from FIM_info['det'] which + is calculated by numpy) + -['trace']: a scalar number of trace calculated by the model + -[design variable name]: a list of design variable solution + solver_status: a solver infomation dictionary containing the following key:value pairs + ~['square']: a string of square result solver status + -['doe']: a string of doe result solver status ''' self.result = result self.obj = obj @@ -1395,7 +1436,9 @@ def extract_FIM(self, m, dv_set, result, obj=None, add_fim=False): # Extract FIM infomation FIM = np.ones((no_para, no_para)) + # loop over row for n1, name1 in enumerate(self.para_name): + # loop over column for n2, name2 in enumerate(self.para_name): FIM[n1, n2] = value(m.FIM[name1, name2]) / self.fim_scale_constant_value @@ -1404,14 +1447,14 @@ def extract_FIM(self, m, dv_set, result, obj=None, add_fim=False): if (self.prior_FIM is not None): try: FIM = FIM + self.prior_FIM - print('Existed information has been added.') + print('FIM prior has been added.') except: - raise ValueError('Check the shape of prior FIM') + raise ValueError('Prior FIM has shape ', np.shape(self.prior_FIM), ', but expecting shape ', np.shape(FIM)) # call private methods self.__print_FIM_info(FIM, dv_set=dv_set) self.__solution_info(m, dv_set) - self.__solver_info() + self.__get_solver_info() # if given store file name, store the FIM if (self.store_FIM is not None): @@ -1421,20 +1464,22 @@ def __print_FIM_info(self, FIM, dv_set=None): ''' using a dictionary to store all FIM information - Args: - FIM: the Fisher Information Matrix, needs to be P.D. and symmetric - dv_set: design variable dictionary + Parameters: + ----------- + FIM: the Fisher Information Matrix, needs to be P.D. and symmetric + dv_set: design variable dictionary Return: - self attributes: - ~['FIM']: FIM itself - ~[design variable name]: design variable values at each time point - ~['Trace']: Trace - ~['Determinant']: determinant - ~['Condition number:']: condition number - ~['Minimal eigen value:']: minimal eigen value - ~['Eigen values:']: all eigen values - ~['Eigen vectors:']: all eigen vectors + ------ + fim_info: a FIM dictionary containing the following key:value pairs + ~['FIM']: a list of FIM itself + ~[design variable name]: a list of design variable values at each time point + ~['Trace']: a scalar number of Trace + ~['Determinant']: a scalar number of determinant + ~['Condition number:']: a scalar number of condition number + ~['Minimal eigen value:']: a scalar number of minimal eigen value + ~['Eigen values:']: a list of all eigen values + ~['Eigen vectors:']: a list of all eigen vectors ''' eig = np.linalg.eigvals(FIM) self.FIM = FIM @@ -1467,17 +1512,19 @@ def __solution_info(self, m, dv_set): ''' Solution information. Only for optimization problem - Args: - m: model - dv_set: design variable dictionary + Parameters: + ----------- + m: model + dv_set: design variable dictionary Return: - self attributes: model solved information dictionary - ~['obj']: objective function value - ~['det']: determinant calculated by the model (different from FIM_info['det'] which - is calculated by numpy) - -['trace']: trace calculated by the model - -[design variable name]: design variable solution + ------ + model_info: model solutions dictionary containing the following key:value pairs + ~['obj']: a scalar number of objective function value + ~['det']: a scalar number of determinant calculated by the model (different from FIM_info['det'] which + is calculated by numpy) + -['trace']: a scalar number of trace calculated by the model + -[design variable name]: a list of design variable solution ''' self.obj_value = value(m.obj) print('Model objective:', self.obj_value) @@ -1511,12 +1558,15 @@ def __store_FIM(self): FIM_store = pd.DataFrame(store_dict) FIM_store.to_csv(self.store_FIM, index=False) - def __solver_info(self): + def __get_solver_info(self): ''' Solver information dictionary Return: - self.status: solver status + ------ + solver_status: a solver infomation dictionary containing the following key:value pairs + ~['square']: a string of square result solver status + -['doe']: a string of doe result solver status ''' print('======problem solver output======') @@ -1538,14 +1588,16 @@ def __init__(self, dv_ranges, FIM_result_list, store_optimality_name=None, verbo This class deals with the FIM results from grid search, turns them into heatmaps. - Args: - dv_ranges: a dict whose keys are design variable names, values are a list of design variable values to go over - FIM_result_list: FIM results list from grid search functions - store_optimality_name: a csv file name containing all four optimalities value - verbose: if print statements + Parameters: + ----------- + dv_ranges: a dict whose keys are design variable names, values are a list of design variable values to go over + FIM_result_list: FIM results list from grid search functions + store_optimality_name: a csv file name containing all four optimalities value + verbose: if print statements Return: - heatmap + ------ + heatmap ''' # design variables self.dv_names = list(dv_ranges.keys()) @@ -1618,12 +1670,18 @@ def heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick= ''' draw heatmaps of the three criteria + Parameters: + ----------- title_text: name of the heatmap, a string xlabel_text: x label title, a string, should be the second design varialbe in the dv_ranges ylabel_text: y label title, a string, should be the first design variable in the dv_ranges font_axes: axis font size font_tick: axis tick font size log_scale: if True, the result matrix will be scaled by log10 + + Note: + ---- + Return 4 heatmaps for A, D, E, Modified E-criteria ''' # Get meshgrids of design variables and results for plotting @@ -1722,39 +1780,19 @@ def heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick= ba.set_label('log10(cond(FIM))') plt.title(title_text + ' - Modified E-optimality') plt.show() - - -def permutations(lst, r=None): - '''Function for calculating determinant - It generates unrepeatable permutations reordering elements in the given list - - Argument: - lst: a list for permutation - - Return: - All permutations of this list - - Adapted from https://stackoverflow.com/questions/58924650/finding-determinant-of-a-nxn-matrix-using-leibniz-formula-on-python - ''' - if len(lst) <= 1: - return [lst] - templst = [] - for i in range(len(lst)): - part = lst[:i] + lst[i+1:] - for j in permutations(part): - templst.append(lst[i:i+1] + j) - return templst def sgn(p): ''' Give the signature of a permutation - Argument: - p: the permutation (a list) + Parameters: + ----------- + p: the permutation (a list) - Return: - 1 if the number of exchange is an even number - -1 if the number is an odd number + Return: + ------ + 1 if the number of exchange is an even number + -1 if the number is an odd number ''' if len(p) == 1: @@ -1775,18 +1813,21 @@ def sgn(p): return -1 def simulate_discretize_model(m,NFE,collo=True,initialize=True): - ''' Simulation, discretize, and initialize the Pyomo model + ''' Simulation, discretize, and initialize the Pyomo model. + This is only used with Pyomo.DAE models. - Arguments: - m: Pyomo model - NFE: number of finite elements to consider (integer) - initialize: if True, initialize the discretized model with the - integrator solution (boolean) + Parameters: + ----------- + m: Pyomo model + NFE: number of finite elements to consider (integer) + initialize: if True, initialize the discretized model with the + integrator solution (boolean) Returns: - sim: Simulator object from Pyomo.DAE - tsim: Timesteps returned from simulator - profiles: Results returned from simulator + ------- + sim: Simulator object from Pyomo.DAE + tsim: Timesteps returned from simulator + profiles: Results returned from simulator ''' # Simulate the model using casadi sim = Simulator(m, package='casadi') diff --git a/pyomo/contrib/doe/dynamic.csv b/pyomo/contrib/doe/dynamic.csv index b8cdf52980d..b747948cf2d 100644 --- a/pyomo/contrib/doe/dynamic.csv +++ b/pyomo/contrib/doe/dynamic.csv @@ -1,5 +1,5 @@ A1,A2,E1,E2 -34.8284258759339,8.984651636113712,-93.24075866508659,-36.953216852391535 -8.984651636113712,34.7202195578813,-19.100679208018697,-169.32118927971206 --93.24075866508659,-19.100679208018697,261.9835916539686,82.95164764848309 --36.953216852391535,-169.32118927971206,82.95164764848309,876.1352438243603 +34.828425913213806,8.984651684208941,-93.24075873498869,-36.95321702620609 +8.984651684208941,34.72021957549844,-19.100679298344787,-169.32118934298597 +-93.24075873498869,-19.100679298344787,261.9835917850386,82.95164797492055 +-36.95321702620609,-169.32118934298597,82.95164797492055,876.135244051602 diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 3b45c755c6f..336ff1ddbd4 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -245,24 +245,16 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "d3ee5ff9", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Design variable: {'CA0': {0: 5}, 'T': {0: 500}}\n" - ] - } - ], + "outputs": [], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", "#sensi_opt = 'sequential_finite'\n", - "#sensi_opt = 'sequential_sipopt'\n", - "sensi_opt = 'sequential_kaug'\n", + "sensi_opt = 'sequential_sipopt'\n", + "#sensi_opt = 'sequential_kaug'\n", "\n", "# Define experiments\n", "if (model_opt=='dynamic-DAE'):\n", @@ -275,200 +267,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "latin-medicare", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 83.94294994963053\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "Ipopt 3.13.3: \n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3371\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 677\n", - "\n", - "Total number of variables............................: 873\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 873\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.40e+01 9.97e+02 2.1 2.11e+04 - 2.06e-03 2.06e-03f 1\n", - " 6r 0.0000000e+00 2.29e+01 9.94e+02 0.7 2.03e+04 - 3.79e-04 3.68e-03f 1\n", - " 7r 0.0000000e+00 1.89e+01 2.56e+03 0.7 7.16e+03 - 2.16e-02 1.46e-03f 1\n", - " 8r 0.0000000e+00 6.78e+00 3.44e+03 0.7 1.05e+03 - 8.67e-03 1.74e-02f 1\n", - " 9r 0.0000000e+00 3.44e+00 9.48e+03 0.7 1.40e+02 - 6.67e-03 2.50e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 3.97e+00 9.11e+03 0.7 6.07e+01 - 1.66e-02 4.24e-02f 1\n", - " 11r 0.0000000e+00 4.22e+00 8.77e+03 0.7 2.54e+01 - 1.00e+00 6.44e-02f 1\n", - " 12r 0.0000000e+00 4.16e+00 1.23e+03 0.7 3.29e+00 - 1.00e+00 8.54e-01f 1\n", - " 13r 0.0000000e+00 3.59e+00 2.07e+02 0.7 3.66e+00 - 5.61e-01 1.00e+00f 1\n", - " 14r 0.0000000e+00 2.96e+00 4.16e+01 -0.0 5.02e+00 - 9.99e-01 8.82e-01f 1\n", - " 15r 0.0000000e+00 2.58e+00 4.27e+02 -0.7 2.73e+01 - 4.53e-01 1.07e-01f 1\n", - " 16r 0.0000000e+00 2.56e+00 4.33e+04 -0.7 1.57e+01 - 1.00e+00 1.67e-02f 1\n", - " 17r 0.0000000e+00 2.52e+00 1.78e+04 -0.7 1.25e+01 - 1.00e+00 5.33e-02f 1\n", - " 18r 0.0000000e+00 2.05e+00 3.96e+03 -0.7 1.08e+01 - 1.00e+00 6.10e-01f 1\n", - " 19r 0.0000000e+00 1.94e+00 2.41e+04 -0.7 8.03e+00 - 6.27e-01 1.46e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 1.71e+00 1.95e+04 -0.7 1.31e+01 - 1.39e-02 1.72e-01f 1\n", - " 21r 0.0000000e+00 1.57e+00 1.83e+04 -0.7 1.62e+01 - 4.71e-02 9.11e-02f 1\n", - " 22r 0.0000000e+00 1.48e+00 1.74e+04 -0.7 1.88e+01 - 5.08e-02 5.68e-02f 1\n", - " 23r 0.0000000e+00 1.38e+00 1.69e+04 -0.7 2.03e+01 - 3.87e-02 5.08e-02f 1\n", - " 24r 0.0000000e+00 1.28e+00 1.70e+04 -0.7 2.11e+01 - 3.03e-02 5.48e-02f 1\n", - " 25r 0.0000000e+00 1.25e+00 1.63e+04 -0.7 2.11e+01 - 2.88e-02 1.90e-02f 1\n", - " 26r 0.0000000e+00 1.18e+00 1.47e+04 -0.7 3.23e+01 - 3.64e-02 2.38e-02f 1\n", - " 27r 0.0000000e+00 1.14e+00 1.44e+04 -0.7 2.10e+01 - 2.08e-02 2.36e-02f 1\n", - " 28r 0.0000000e+00 1.08e+00 1.47e+04 -0.7 7.71e+01 - 7.21e-03 9.85e-03f 1\n", - " 29r 0.0000000e+00 1.06e+00 1.44e+04 -0.7 1.61e+01 - 3.49e-02 1.25e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.04e+00 1.41e+04 -0.7 5.75e+00 0.0 8.30e-02 5.19e-02f 1\n", - " 31r 0.0000000e+00 8.90e-01 2.06e+04 -0.7 1.64e+01 - 2.14e-03 1.14e-01f 1\n", - " 32r 0.0000000e+00 8.49e-01 2.04e+04 -0.7 3.27e+03 - 9.39e-05 1.59e-04f 1\n", - " 33r 0.0000000e+00 8.40e-01 1.93e+04 -0.7 2.07e+01 - 3.90e-02 5.49e-03f 1\n", - " 34r 0.0000000e+00 7.18e-01 1.78e+04 -0.7 2.04e+01 -0.5 5.74e-02 7.81e-02f 1\n", - " 35r 0.0000000e+00 7.12e-01 1.74e+04 -0.7 1.51e+01 - 6.25e-02 5.39e-03f 1\n", - " 36r 0.0000000e+00 5.95e-01 1.66e+04 -0.7 5.06e+01 -1.0 2.62e-03 3.07e-02f 1\n", - " 37r 0.0000000e+00 5.91e-01 1.76e+04 -0.7 1.69e+01 - 9.03e-02 3.09e-03f 1\n", - " 38r 0.0000000e+00 4.99e-01 2.45e+04 -0.7 1.37e+02 - 4.39e-04 9.12e-03f 1\n", - " 39r 0.0000000e+00 4.68e-01 1.66e+04 -0.7 4.45e+02 -1.4 8.43e-03 9.79e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 4.39e-01 1.58e+04 -0.7 1.12e+01 - 1.28e-01 3.82e-02f 1\n", - " 41r 0.0000000e+00 3.11e-01 1.56e+04 -0.7 1.88e+02 - 3.01e-04 9.57e-03f 1\n", - " 42r 0.0000000e+00 3.06e-01 1.78e+04 -0.7 1.55e+01 - 1.80e-01 5.42e-03f 1\n", - " 43r 0.0000000e+00 2.83e-01 1.95e+04 -0.7 3.70e+01 - 1.54e-03 6.91e-02f 1\n", - " 44r 0.0000000e+00 2.82e-01 3.14e+04 -0.7 1.91e+01 - 2.18e-01 3.74e-03f 1\n", - " 45r 0.0000000e+00 2.83e-01 2.53e+04 -0.7 2.65e+01 - 2.59e-03 7.36e-02f 1\n", - " 46r 0.0000000e+00 2.77e-01 2.69e+04 -0.7 1.26e+00 - 4.26e-02 2.27e-02f 1\n", - " 47r 0.0000000e+00 2.53e-01 2.41e+04 -0.7 1.00e+00 - 1.10e-01 8.74e-02f 1\n", - " 48r 0.0000000e+00 2.52e-01 2.64e+04 -0.7 9.41e-01 - 7.10e-02 1.20e-03h 1\n", - " 49r 0.0000000e+00 2.49e-01 2.60e+04 -0.7 1.28e+00 - 6.38e-03 1.53e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 2.02e-01 2.16e+04 -0.7 9.05e-01 - 6.69e-03 1.87e-01f 1\n", - " 51r 0.0000000e+00 2.02e-01 2.14e+04 -0.7 7.35e-01 - 1.95e-01 2.70e-03h 1\n", - " 52r 0.0000000e+00 1.64e-01 1.75e+04 -0.7 7.31e-01 - 4.13e-03 1.86e-01f 1\n", - " 53r 0.0000000e+00 1.64e-01 1.74e+04 -0.7 5.94e-01 - 1.01e-01 3.65e-03h 1\n", - " 54r 0.0000000e+00 1.35e-01 1.44e+04 -0.7 5.91e-01 - 5.43e-02 1.75e-01f 1\n", - " 55r 0.0000000e+00 1.34e-01 1.43e+04 -0.7 4.86e-01 - 8.09e-02 7.88e-03f 1\n", - " 56r 0.0000000e+00 1.12e-01 1.19e+04 -0.7 4.82e-01 - 5.49e-02 1.65e-01f 1\n", - " 57r 0.0000000e+00 1.05e-01 1.12e+04 -0.7 4.02e-01 - 8.70e-02 5.82e-02f 1\n", - " 58r 0.0000000e+00 9.02e-02 9.60e+03 -0.7 3.78e-01 - 7.23e-02 1.44e-01f 1\n", - " 59r 0.0000000e+00 8.32e-02 8.85e+03 -0.7 3.23e-01 - 1.08e-01 7.77e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 7.13e-02 7.59e+03 -0.7 2.97e-01 - 1.14e-01 1.43e-01f 1\n", - " 61r 0.0000000e+00 5.97e-02 6.35e+03 -0.7 2.54e-01 - 1.58e-01 1.63e-01f 1\n", - " 62r 0.0000000e+00 4.92e-02 5.24e+03 -0.7 2.12e-01 - 3.19e-01 1.75e-01f 1\n", - " 63r 0.0000000e+00 3.25e-02 3.46e+03 -0.7 1.74e-01 - 4.25e-01 3.41e-01f 1\n", - " 64r 0.0000000e+00 1.05e-02 5.44e+02 -0.7 1.15e-01 - 7.89e-01 8.42e-01f 1\n", - " 65r 0.0000000e+00 1.05e-02 1.27e-01 -0.7 1.77e-02 - 1.00e+00 1.00e+00f 1\n", - " 66r 0.0000000e+00 1.04e-02 4.02e+02 -3.2 4.99e-01 - 9.96e-01 7.70e-01f 1\n", - " 67r 0.0000000e+00 1.28e-03 4.63e+03 -3.2 1.75e+02 - 9.55e-01 1.44e-02f 1\n", - " 68r 0.0000000e+00 1.03e-03 5.51e+03 -3.2 3.42e+00 - 1.00e+00 2.81e-02f 1\n", - " 69r 0.0000000e+00 2.09e-05 1.12e+02 -3.2 4.19e-01 - 1.00e+00 9.80e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 8.74e-08 1.47e-05 -3.2 8.48e-03 - 1.00e+00 1.00e+00f 1\n", - " 71r 0.0000000e+00 4.26e-09 3.97e-01 -7.2 3.66e-05 - 1.00e+00 9.97e-01f 1\n", - "\n", - "Number of Iterations....: 71\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.6492325330122577e-09 4.2566097210568546e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.6492325330122577e-09 4.2566097210568546e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 78\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 78\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 73\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 71\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.069\n", - "Total CPU secs in NLP function evaluations = 0.009\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", - "Pass the option square_override for the desired behaviour\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", - "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", - "objpval: got NOBJ = 0; expected 0 <= NOBJ < 0\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 873\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 873\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 873, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3371\n", - "I[K_AUG]...\t[GET_HESS_ASL]No objective declared\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 677\n", - "ERROR: Solver (asl) returned non-zero return code (1)\n", - "ERROR: See the solver log above for diagnostic information.\n" - ] - }, - { - "ename": "ApplicationError", - "evalue": "Solver (asl) did not exit normally", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mApplicationError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_24458/2701946122.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mif_s\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdoe_object\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompute_FIM\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexp1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msensi_opt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mFIM_store_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'dynamic.csv'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mscale_nominal_param_value\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mif_s\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mformula\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'central'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/pyomo/pyomo/contrib/doe/DoE_package.py\u001b[0m in \u001b[0;36mcompute_FIM\u001b[0;34m(self, design_values, mode, FIM_store_name, specified_prior, tee_opt, scale_nominal_param_value, scale_constant_value, formula, step, if_Cho, L_LB, L_initial)\u001b[0m\n\u001b[1;32m 385\u001b[0m \u001b[0;31m# TODO: add k_aug solver\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 386\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 387\u001b[0;31m \u001b[0mm_sipopt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msensitivity_calculation\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'k_aug'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist_original\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist_perturb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtee\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 388\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 389\u001b[0m \u001b[0;31m# extract sipopt result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/pyomo/pyomo/contrib/sensitivity_toolbox/sens.py\u001b[0m in \u001b[0;36msensitivity_calculation\u001b[0;34m(method, instance, paramList, perturbList, cloneModel, tee, keepfiles, solver_options)\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 164\u001b[0m \u001b[0mk_aug\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'dsdp_mode'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"\"\u001b[0m \u001b[0;31m#: sensitivity mode!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 165\u001b[0;31m \u001b[0mk_aug_interface\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mk_aug\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtee\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtee\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 166\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 167\u001b[0m \u001b[0msens\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mperturb_parameters\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mperturbList\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/pyomo/pyomo/contrib/sensitivity_toolbox/k_aug.py\u001b[0m in \u001b[0;36mk_aug\u001b[0;34m(self, model, **kwargs)\u001b[0m\n\u001b[1;32m 103\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 104\u001b[0m \u001b[0;31m# Call k_aug\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 105\u001b[0;31m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_k_aug\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 106\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 107\u001b[0m \u001b[0;31m# Read any files we expect as output\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/pyomo/pyomo/opt/base/solvers.py\u001b[0m in \u001b[0;36msolve\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m 593\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_status\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'log'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0m_status\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 594\u001b[0m \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Solver log:\\n\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_status\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 595\u001b[0;31m raise ApplicationError(\n\u001b[0m\u001b[1;32m 596\u001b[0m \"Solver (%s) did not exit normally\" % self.name)\n\u001b[1;32m 597\u001b[0m \u001b[0msolve_completion_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mApplicationError\u001b[0m: Solver (asl) did not exit normally" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -488,23 +292,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "64fc6da4", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "======Result summary======\n", - "Four design criteria log10() value:\n", - "A-optimality: 3.081947372129281\n", - "D-optimality: 5.748775852289656\n", - "E-optimality: -0.042112750113627556\n", - "Modified E-optimality: 3.0071920935090257\n" - ] - } - ], + "outputs": [], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", @@ -592,7 +383,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "270e807a", "metadata": {}, "outputs": [], @@ -659,12 +450,629 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "wicked-raising", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 24280\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 1930\n", + "\n", + "Total number of variables............................: 6414\n", + " variables with only lower bounds: 2316\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 6414\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 7.66e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (288851)\n", + " 1 -2.4685502e+01 2.35e+04 6.11e+04 -1.0 7.66e+02 - 2.58e-03 3.72e-01f 1\n", + " 2 -2.4586020e+01 2.22e+04 5.77e+04 -1.0 7.93e+02 - 1.57e-01 5.78e-02h 1\n", + " 3 -2.4584439e+01 2.21e+04 5.76e+04 -1.0 6.38e+02 - 2.59e-01 8.83e-04h 1\n", + " 4r-2.4584439e+01 2.21e+04 1.00e+03 4.3 0.00e+00 - 0.00e+00 2.78e-07R 6\n", + " 5r-2.2865595e+01 6.18e+03 3.40e+04 4.3 1.70e+07 - 1.70e-05 1.29e-03f 1\n", + " 6r-2.1815237e+01 2.41e+03 5.41e+07 2.2 3.53e+01 6.0 8.58e-01 1.00e+00f 1\n", + " 7r-1.4024175e+01 2.38e+03 7.18e+06 2.2 2.63e+01 5.5 8.54e-01 1.00e+00f 1\n", + " 8r-1.3886775e+01 2.38e+03 6.90e+06 2.2 2.48e+01 5.0 9.15e-01 4.09e-02f 1\n", + " 9r-1.2150629e+01 2.39e+03 7.41e+06 2.2 3.58e+01 4.6 6.34e-01 5.46e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r-1.2121550e+01 2.39e+03 7.34e+06 2.2 2.08e+01 5.0 1.00e+00 9.12e-03f 1\n", + " 11r-1.1911777e+01 2.39e+03 6.64e+06 2.2 2.52e+01 4.5 9.49e-01 1.08e-01f 1\n", + " 12r-1.1876678e+01 2.39e+03 6.56e+06 2.2 2.08e+01 4.9 1.00e+00 1.15e-02f 1\n", + " 13r-8.2517784e+00 2.39e+03 6.97e+06 2.2 2.45e+01 4.5 8.92e-01 1.00e+00f 1\n", + " 14r-6.9879319e+00 2.39e+03 6.81e+05 2.2 5.48e+00 4.9 1.00e+00 1.00e+00f 1\n", + " 15r-7.8638840e+00 2.39e+03 1.27e+05 2.2 9.54e-01 4.4 1.00e+00 1.00e+00f 1\n", + " 16r-9.1669199e+00 2.39e+03 1.36e+03 2.2 1.56e-01 3.9 1.00e+00 1.00e+00f 1\n", + " 17r-1.0093346e+01 2.39e+03 1.25e+03 1.5 4.34e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 18r-1.2618142e+01 2.39e+03 1.25e+03 1.5 1.30e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 19r-1.2636611e+01 2.39e+03 1.25e+03 1.5 3.98e+00 2.5 1.00e+00 1.39e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r-1.2757583e+01 2.39e+03 1.29e+03 1.5 1.50e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 21r-1.2783707e+01 2.39e+03 1.29e+03 1.5 4.50e+00 2.5 1.00e+00 4.58e-01f 1\n", + " 22r-1.2768718e+01 2.39e+03 1.29e+03 1.5 1.38e+01 2.0 1.00e+00 1.25e-01f 1\n", + " 23r-1.2719773e+01 2.39e+03 1.31e+03 1.5 5.17e+00 2.4 1.00e+00 7.13e-01f 1\n", + " 24r-1.2662032e+01 2.39e+03 1.31e+03 1.5 1.59e+01 1.9 1.00e+00 2.26e-01f 1\n", + " 25r-1.2627075e+01 2.38e+03 1.32e+03 1.5 4.75e+01 1.5 1.00e+00 6.08e-02f 1\n", + " 26r-1.2501920e+01 2.38e+03 1.33e+03 1.5 1.80e+01 1.9 1.00e+00 2.70e-01f 1\n", + " 27r-1.2343219e+01 2.38e+03 1.33e+03 1.5 5.39e+01 1.4 4.13e-01 1.06e-01f 1\n", + " 28r-1.2246358e+01 2.38e+03 1.33e+03 1.5 2.04e+01 1.8 1.00e+00 1.49e-01f 1\n", + " 29r-1.2030839e+01 2.37e+03 1.34e+03 1.5 6.08e+01 1.3 6.50e-01 1.32e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r-1.1623580e+01 2.37e+03 1.36e+03 0.9 2.90e+00 2.7 1.00e+00 5.18e-01f 1\n", + " 31r-1.1410963e+01 2.37e+03 1.36e+03 0.9 8.58e+00 2.2 9.00e-01 1.92e-01f 1\n", + " 32r-1.1050453e+01 2.36e+03 1.38e+03 0.9 2.51e+01 1.7 1.00e+00 2.39e-01f 1\n", + " 33r-1.0987561e+01 2.36e+03 1.35e+03 0.9 9.46e+00 2.1 1.00e+00 6.56e-02f 1\n", + " 34r-1.0223963e+01 2.36e+03 1.35e+03 0.9 3.60e+00 2.6 1.00e+00 9.93e-01f 1\n", + " 35r-1.0103402e+01 2.36e+03 1.25e+04 0.9 1.06e+01 2.1 6.70e-01 2.37e-01f 1\n", + " 36r-1.0096112e+01 2.36e+03 1.22e+04 0.9 3.98e+00 2.5 6.72e-02 2.67e-02f 1\n", + " 37r-1.0077262e+01 2.36e+03 1.08e+04 0.9 1.51e+00 2.9 4.09e-01 1.10e-01f 1\n", + " 38r-1.0049973e+01 2.36e+03 4.00e+03 0.9 1.97e-01 4.3 1.00e+00 6.47e-01f 1\n", + " 39r-1.0045110e+01 2.36e+03 2.22e+04 0.9 2.98e-01 3.8 5.61e-02 1.22e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r-1.0027704e+01 2.36e+03 5.93e+03 0.9 6.36e-01 3.3 2.37e-01 2.33e-01f 1\n", + " 41r-1.0036773e+01 2.36e+03 8.72e+04 0.9 9.12e+00 2.8 2.13e-01 1.93e-01f 1\n", + " 42r-1.0038692e+01 2.36e+03 5.20e+04 0.9 7.91e+00 2.4 1.60e-02 2.29e-01f 1\n", + " 43r-1.0064696e+01 2.36e+03 7.76e+04 0.9 5.45e+00 2.8 6.15e-01 3.30e-01f 1\n", + " 44r-1.0067720e+01 2.36e+03 6.84e+04 0.9 6.86e+00 2.3 3.91e-01 1.28e-01f 1\n", + " 45r-1.0075674e+01 2.36e+03 6.61e+04 0.9 4.01e+00 2.7 4.91e-01 3.86e-02f 1\n", + " 46r-1.0124849e+01 2.36e+03 5.61e+04 0.9 6.96e+00 2.3 4.50e-01 1.67e-01f 1\n", + " 47r-1.0159881e+01 2.36e+03 5.10e+04 0.9 2.10e+01 1.8 4.84e-01 7.97e-02f 1\n", + " 48r-1.0227161e+01 2.35e+03 3.87e+04 0.9 7.82e+00 2.2 5.88e-01 2.65e-01f 1\n", + " 49r-1.0243132e+01 2.35e+03 3.63e+04 0.9 2.40e+01 1.7 3.49e-01 6.11e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r-1.0258262e+01 2.35e+03 5.47e+04 0.9 1.75e+00 4.0 2.14e-01 1.35e-01f 1\n", + " 51r-1.0268386e+01 2.35e+03 4.61e+04 0.9 1.64e+00 3.5 4.90e-01 1.61e-01f 1\n", + " 52r-1.0308339e+01 2.35e+03 3.52e+04 0.9 1.88e+00 3.0 5.42e-01 5.41e-01f 1\n", + " 53r-1.0309445e+01 2.35e+03 3.74e+04 0.9 6.20e-01 5.2 2.05e-02 4.71e-02h 1\n", + " 54r-1.0309748e+01 2.35e+03 3.70e+04 0.9 6.88e-01 4.8 1.55e-01 7.48e-03f 5\n", + " 55r-1.0314288e+01 2.35e+03 3.31e+05 0.9 6.74e-01 5.2 5.54e-02 1.72e-01h 1\n", + " 56r-1.0315012e+01 2.35e+03 3.24e+05 0.9 6.10e-01 4.7 1.62e-01 2.27e-02f 3\n", + " 57r-1.0316454e+01 2.35e+03 2.98e+05 0.9 5.81e-01 5.1 2.31e-01 5.26e-02h 3\n", + " 58r-1.0316729e+01 2.35e+03 2.96e+05 0.9 5.83e-01 4.7 1.19e-01 9.06e-03h 5\n", + " 59r-1.0318011e+01 2.35e+03 2.79e+05 0.9 5.63e-01 5.1 3.18e-01 4.76e-02h 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r-1.0318428e+01 2.35e+03 2.75e+05 0.9 5.69e-01 4.6 1.70e-01 1.40e-02h 6\n", + " 61r-1.0321683e+01 2.35e+03 2.72e+05 0.9 5.45e-01 5.0 1.00e+00 1.24e-01h 4\n", + " 62r-1.0322870e+01 2.35e+03 2.58e+05 0.9 5.22e-01 4.6 4.76e-01 4.29e-02f 3\n", + " 63r-1.0346837e+01 2.35e+03 2.33e+06 0.9 5.56e-01 4.1 2.50e-01 7.13e-01f 1\n", + " 64r-1.0346639e+01 2.35e+03 3.10e+06 0.9 2.33e-02 7.2 3.60e-01 1.00e+00f 1\n", + " 65r-1.0346679e+01 2.35e+03 2.90e+06 0.9 3.92e-02 6.7 9.67e-01 5.12e-02h 1\n", + " 66r-1.0347479e+01 2.35e+03 2.38e+06 0.9 7.81e-02 6.3 9.44e-01 2.38e-01h 2\n", + " 67r-1.0353206e+01 2.35e+03 2.99e+06 0.9 2.82e-01 5.8 8.34e-01 4.21e-01h 1\n", + " 68r-1.0358749e+01 2.35e+03 3.44e+06 0.9 2.54e-01 5.3 7.34e-01 3.30e-01H 1\n", + " 69r-1.0360547e+01 2.35e+03 2.91e+06 0.9 2.35e-01 4.8 1.00e+00 1.34e-01f 3\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r-1.0367527e+01 2.35e+03 5.44e+05 0.9 2.14e-01 4.4 1.00e+00 4.82e-01f 1\n", + " 71r-1.0381577e+01 2.35e+03 1.81e+06 0.9 1.90e-01 3.9 7.79e-01 9.32e-01f 1\n", + "Reallocating memory for MA57: lfact (330034)\n", + " 72r-1.0381474e+01 2.35e+03 1.90e+06 0.9 1.10e-02 7.9 4.38e-02 1.00e+00f 1\n", + " 73r-1.0381521e+01 2.35e+03 1.48e+06 0.9 2.04e-02 7.4 6.39e-01 1.79e-01h 1\n", + " 74r-1.0381650e+01 2.35e+03 1.18e+06 0.9 1.17e-01 7.0 4.36e-01 2.45e-02h 1\n", + " 75r-1.0382956e+01 2.35e+03 2.40e+06 0.9 3.88e-01 6.5 4.12e-01 7.43e-02h 1\n", + " 76r-1.0388059e+01 2.35e+03 4.60e+06 0.9 4.47e-01 6.0 1.00e+00 2.23e-01h 1\n", + " 77r-1.0388387e+01 2.35e+03 4.52e+06 0.9 5.03e-01 5.5 3.15e-01 1.15e-02h 5\n", + " 78r-1.0389013e+01 2.35e+03 4.41e+06 0.9 5.29e-01 5.1 1.26e-01 1.91e-02h 6\n", + " 79r-1.0393566e+01 2.35e+03 4.44e+06 0.9 1.06e+00 4.6 2.06e-01 1.25e-01h 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r-1.0403193e+01 2.35e+03 3.17e+06 0.9 1.58e+00 4.1 1.17e-01 2.50e-01h 3\n", + " 81r-1.0434941e+01 2.35e+03 1.50e+06 0.9 1.66e+00 3.6 9.93e-01 6.77e-01f 1\n", + " 82r-1.0434941e+01 2.35e+03 1.49e+06 0.9 2.32e-02 7.7 8.34e-01 5.15e-03h 1\n", + "Reallocating memory for MA57: lfact (440200)\n", + " 83r-1.0434858e+01 2.35e+03 2.17e+07 0.9 1.60e-02 8.1 8.91e-01 1.51e-01h 1\n", + " 84r-1.0434925e+01 2.35e+03 4.10e+06 0.9 2.32e-02 7.6 4.81e-01 2.43e-01h 2\n", + " 85r-1.0435199e+01 2.35e+03 3.69e+06 0.9 2.22e-01 7.1 6.26e-02 2.14e-02h 2\n", + " 86r-1.0435354e+01 2.35e+03 3.54e+06 0.9 2.25e-01 6.7 2.36e-01 1.23e-02h 4\n", + " 87r-1.0435413e+01 2.35e+03 3.51e+06 0.9 2.17e-01 6.2 1.20e-01 4.21e-03h 6\n", + " 88r-1.0435478e+01 2.35e+03 3.48e+06 0.9 2.32e-01 5.7 2.54e-01 4.24e-03h 7\n", + " 89r-1.0435603e+01 2.35e+03 3.46e+06 0.9 4.05e-01 5.2 2.95e-01 6.49e-03h 7\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r-1.0435792e+01 2.35e+03 3.43e+06 0.9 6.54e-01 4.8 3.44e-01 1.26e-02h 7\n", + " 91r-1.0444227e+01 2.35e+03 2.59e+07 0.9 8.40e-01 4.3 9.79e-01 1.00e+00f 1\n", + "Reallocating memory for MA57: lfact (834872)\n", + "Reallocating memory for MA57: lfact (930668)\n", + "Reallocating memory for MA57: lfact (1174736)\n", + " 92r-1.0443676e+01 2.35e+03 9.96e+06 0.9 1.21e-02 9.2 7.26e-01 1.00e+00f 1\n", + "Reallocating memory for MA57: lfact (1424712)\n", + " 93r-1.0443685e+01 2.35e+03 4.84e+06 0.9 6.40e-03 8.7 1.00e+00 1.00e+00f 1\n", + " 94r-1.0443725e+01 2.35e+03 5.90e+06 0.9 3.65e-03 8.3 1.00e+00 1.77e-01h 1\n", + " 95r-1.0444044e+01 2.35e+03 3.35e+07 0.9 1.28e-02 7.8 1.00e+00 3.40e-01h 1\n", + " 96r-1.0444396e+01 2.35e+03 2.25e+07 0.9 2.61e-02 7.3 1.00e+00 1.50e-01h 2\n", + " 97r-1.0445675e+01 2.35e+03 2.31e+07 0.9 1.19e-01 6.8 7.33e-01 1.49e-01h 2\n", + " 98r-1.0454761e+01 2.35e+03 1.07e+08 0.9 3.14e-01 6.4 1.51e-02 5.59e-01h 1\n", + " 99r-1.0454768e+01 2.35e+03 6.73e+07 0.9 1.16e-02 9.5 4.71e-01 1.55e-01h 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r-1.0454793e+01 2.35e+03 6.14e+07 0.9 8.69e-02 9.0 7.57e-03 4.78e-03h 3\n", + " 101r-1.0454970e+01 2.35e+03 5.19e+07 0.9 3.75e-01 8.5 6.19e-03 8.31e-03h 2\n", + " 102r-1.0455666e+01 2.35e+03 6.88e+07 0.9 4.65e-01 8.1 9.31e-03 2.69e-02h 1\n", + " 103r-1.0462657e+01 2.35e+03 3.01e+08 0.9 4.68e-01 7.6 4.22e-02 2.69e-01h 1\n", + "Reallocating memory for MA57: lfact (1556396)\n", + " 104r-1.0462700e+01 2.35e+03 3.01e+08 0.9 3.58e-01 8.9 3.96e-02 2.07e-03h 1\n", + " 105r-1.0462705e+01 2.35e+03 3.01e+08 0.9 3.60e-01 9.3 8.53e-04 2.40e-04h 1\n", + " 106r-1.0463767e+01 2.35e+03 3.72e+08 0.9 3.59e-01 8.9 3.88e-02 5.00e-02f 1\n", + " 107r-1.0465681e+01 2.35e+03 3.26e+08 0.9 3.38e-01 8.4 3.36e-03 9.49e-02h 1\n", + " 108r-1.0467279e+01 2.35e+03 2.99e+08 0.9 3.08e-01 7.9 9.84e-02 8.59e-02h 1\n", + " 109r-1.0484548e+01 2.35e+03 4.36e+08 0.9 2.88e-01 7.4 1.15e-01 9.53e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r-1.0485465e+01 2.35e+03 1.15e+07 0.9 1.50e-02 7.9 1.00e+00 1.00e+00f 1\n", + " 111r-1.0485390e+01 2.35e+03 2.47e+04 0.9 7.92e-04 7.4 9.92e-01 1.00e+00f 1\n", + " 112r-1.0485487e+01 2.35e+03 1.51e+04 0.9 1.90e-03 6.9 1.00e+00 1.00e+00f 1\n", + " 113r-1.0485571e+01 2.35e+03 2.52e+03 0.9 9.49e-04 6.4 1.00e+00 1.00e+00f 1\n", + " 114r-1.0485988e+01 2.35e+03 1.39e+03 0.9 1.57e-03 5.9 1.00e+00 1.00e+00f 1\n", + " 115r-1.0486981e+01 2.35e+03 1.24e+03 0.9 4.19e-03 5.5 1.00e+00 1.00e+00f 1\n", + " 116r-1.0488778e+01 2.35e+03 3.20e+03 0.9 1.22e-02 5.0 1.00e+00 1.00e+00f 1\n", + " 117r-1.0489011e+01 2.35e+03 1.52e+04 0.9 3.81e-02 4.5 1.00e+00 1.00e+00f 1\n", + " 118r-1.0487999e+01 2.35e+03 4.80e+03 0.9 1.46e-02 4.9 1.00e+00 1.00e+00f 1\n", + " 119r-1.0484721e+01 2.35e+03 1.62e+04 0.9 4.40e-02 4.5 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r-1.0476870e+01 2.35e+03 4.42e+04 0.9 1.33e-01 4.0 1.00e+00 5.88e-01f 1\n", + " 121r-1.0476722e+01 2.35e+03 3.09e+05 0.9 7.11e-03 6.2 1.00e+00 1.00e+00f 1\n", + " 122r-1.0476640e+01 2.35e+03 1.97e+04 0.9 3.39e-03 5.7 1.00e+00 1.00e+00f 1\n", + " 123r-1.0477140e+01 2.35e+03 1.27e+05 0.9 2.43e-02 5.3 1.00e+00 5.44e-01f 1\n", + " 124r-1.0477216e+01 2.35e+03 1.23e+05 0.9 1.05e-02 6.6 1.00e+00 1.83e-01f 3\n", + " 125r-1.0478057e+01 2.35e+03 4.95e+05 0.9 2.51e-02 6.1 1.00e+00 5.59e-01h 1\n", + " 126r-1.0478429e+01 2.35e+03 1.91e+05 0.9 3.11e-02 5.6 9.88e-01 5.00e-01f 2\n", + " 127r-1.0478790e+01 2.35e+03 8.44e+04 0.9 3.18e-02 5.2 1.00e+00 1.00e+00f 1\n", + " 128r-1.0478823e+01 2.35e+03 3.13e+06 0.9 9.67e-04 8.3 1.00e+00 7.07e-01h 1\n", + " 129r-1.0478864e+01 2.35e+03 1.88e+06 0.9 2.58e-03 7.8 1.00e+00 3.96e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r-1.0478978e+01 2.35e+03 7.00e+05 0.9 5.34e-03 7.3 1.00e+00 6.12e-01h 1\n", + " 131r-1.0479104e+01 2.35e+03 5.43e+05 0.9 4.40e-03 6.9 7.52e-01 1.00e+00f 1\n", + " 132r-1.0479111e+01 2.35e+03 9.28e+05 0.9 2.71e-04 9.1 1.00e+00 1.00e+00h 1\n", + " 133r-1.0479132e+01 2.35e+03 2.96e+05 0.9 7.68e-04 8.6 1.00e+00 7.21e-01h 1\n", + " 134r-1.0479189e+01 2.35e+03 3.28e+06 0.9 1.49e-03 8.1 1.00e+00 6.03e-01F 1\n", + " 135r-1.0479195e+01 2.35e+03 1.12e+06 0.9 2.18e-04 9.5 1.00e+00 1.00e+00f 1\n", + " 136r-1.0479228e+01 2.35e+03 7.71e+06 0.9 9.73e-04 9.0 1.00e+00 6.93e-01h 1\n", + " 137r-1.0479237e+01 2.35e+03 5.80e+06 0.9 1.11e-03 8.5 1.00e+00 2.50e-01f 3\n", + " 138r-1.0479270e+01 2.35e+03 4.17e+06 0.9 5.13e-04 8.9 1.00e+00 1.00e+00f 1\n", + " 139r-1.0479291e+01 2.35e+03 5.01e+05 0.9 8.00e-04 8.5 1.00e+00 1.00e+00F 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r-1.0479296e+01 2.35e+03 1.91e+05 0.9 2.21e-04 8.0 1.00e+00 1.00e+00f 1\n", + " 141r-1.0479303e+01 2.35e+03 1.91e+04 0.9 5.43e-04 7.5 1.00e+00 1.00e+00f 1\n", + " 142r-1.0479300e+01 2.35e+03 2.90e+03 0.9 2.67e-04 7.0 1.00e+00 1.00e+00f 1\n", + " 143r-1.0479291e+01 2.35e+03 2.98e+03 0.9 8.20e-04 6.6 1.00e+00 1.00e+00f 1\n", + " 144r-1.0479236e+01 2.35e+03 1.97e+03 0.9 1.07e-03 6.1 1.00e+00 1.00e+00f 1\n", + " 145r-1.0479031e+01 2.35e+03 1.40e+04 0.9 3.21e-03 5.6 1.00e+00 1.00e+00f 1\n", + " 146r-1.0479025e+01 2.35e+03 5.33e+03 0.9 1.52e-03 6.9 1.00e+00 1.00e+00f 1\n", + " 147r-1.0479005e+01 2.35e+03 3.02e+03 0.9 7.39e-04 6.5 1.00e+00 1.00e+00f 1\n", + " 148r-1.0478925e+01 2.35e+03 1.30e+03 0.9 1.36e-03 6.0 1.00e+00 1.00e+00f 1\n", + " 149r-1.0478638e+01 2.35e+03 1.30e+03 0.9 4.08e-03 5.5 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r-1.0478656e+01 2.35e+03 1.25e+04 0.9 7.74e-04 6.8 1.00e+00 1.00e+00f 1\n", + " 151r-1.0478628e+01 2.35e+03 1.29e+03 0.9 5.71e-04 6.4 1.00e+00 1.00e+00f 1\n", + " 152r-1.0478529e+01 2.35e+03 1.29e+03 0.9 1.71e-03 5.9 1.00e+00 1.00e+00f 1\n", + " 153r-1.0478496e+01 2.35e+03 1.29e+03 0.9 6.41e-04 6.3 1.00e+00 1.00e+00f 1\n", + " 154r-1.0478386e+01 2.35e+03 1.29e+03 0.9 1.92e-03 5.8 1.00e+00 1.00e+00f 1\n", + " 155r-1.0478004e+01 2.35e+03 1.46e+03 0.9 5.78e-03 5.3 1.00e+00 1.00e+00f 1\n", + " 156r-1.0476675e+01 2.35e+03 5.77e+03 0.9 1.74e-02 4.9 1.00e+00 1.00e+00f 1\n", + " 157r-1.0476162e+01 2.35e+03 1.30e+03 0.9 6.52e-03 5.3 1.00e+00 1.00e+00f 1\n", + " 158r-1.0474596e+01 2.35e+03 5.20e+03 0.9 1.95e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 159r-1.0474124e+01 2.35e+03 1.46e+04 0.9 7.26e-03 5.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r-1.0473931e+01 2.35e+03 1.64e+03 0.9 2.73e-03 5.7 1.00e+00 1.00e+00f 1\n", + " 161r-1.0473353e+01 2.35e+03 2.43e+03 0.9 8.19e-03 5.2 1.00e+00 1.00e+00f 1\n", + " 162r-1.0471520e+01 2.35e+03 1.29e+03 0.9 2.46e-02 4.7 1.00e+00 1.00e+00f 1\n", + " 163r-1.0466087e+01 2.35e+03 1.29e+03 0.9 7.40e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 164r-1.0455271e+01 2.35e+03 1.29e+03 0.9 2.22e-01 3.8 1.00e+00 7.45e-01f 1\n", + " 165r-1.0414681e+01 2.35e+03 2.41e+03 0.9 6.77e-01 3.3 1.00e+00 8.08e-01f 1\n", + " 166r-1.0412550e+01 2.35e+03 2.55e+03 0.9 2.01e+00 2.8 8.59e-01 4.12e-01f 1\n", + " 167r-1.0423391e+01 2.35e+03 4.15e+03 0.9 6.08e+00 2.3 4.85e-01 1.46e-01f 1\n", + " 168r-1.0437289e+01 2.35e+03 3.08e+03 0.9 2.25e+00 2.8 1.00e+00 2.66e-01f 1\n", + " 169r-1.0478317e+01 2.35e+03 2.98e+03 0.9 6.48e+00 2.3 6.44e-01 1.35e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r-1.0572375e+01 2.35e+03 3.02e+03 0.9 2.39e+00 2.7 1.00e+00 4.35e-01f 1\n", + " 171r-1.0602775e+01 2.35e+03 2.98e+03 0.9 7.26e+00 2.2 4.92e-01 1.10e-01f 1\n", + " 172r-1.0725643e+01 2.34e+03 8.15e+03 0.9 2.72e+00 2.7 1.00e+00 8.59e-01f 1\n", + " 173r-1.0755948e+01 2.34e+03 2.72e+03 0.9 1.02e+00 3.1 6.58e-01 7.11e-01f 1\n", + " 174r-1.0777640e+01 2.34e+03 2.28e+03 0.9 3.08e+00 2.6 6.80e-01 3.00e-01f 1\n", + " 175r-1.0834608e+01 2.34e+03 7.67e+03 0.9 9.22e+00 2.1 5.68e-01 3.15e-01f 1\n", + " 176r-1.0860736e+01 2.34e+03 4.37e+03 0.9 3.45e+00 2.6 4.39e-01 2.96e-01f 1\n", + " 177r-1.0930124e+01 2.34e+03 2.22e+03 0.9 1.23e+00 3.0 1.00e+00 5.08e-01f 1\n", + " 178r-1.0983506e+01 2.34e+03 2.18e+03 0.9 3.68e+00 2.5 8.59e-01 2.27e-01f 1\n", + " 179r-1.1092593e+01 2.34e+03 1.59e+03 0.9 1.38e+00 2.9 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r-1.1127190e+01 2.34e+03 1.18e+03 0.9 5.18e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 181r-1.1198922e+01 2.34e+03 1.50e+03 0.9 1.55e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 182r-1.1221462e+01 2.34e+03 1.18e+03 0.9 5.83e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 183r-1.1274432e+01 2.33e+03 1.62e+03 0.9 1.75e+00 2.8 1.00e+00 1.00e+00f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 184r-1.1291428e+01 2.33e+03 1.18e+03 0.9 6.55e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 185r-1.1336775e+01 2.33e+03 1.55e+03 0.9 1.96e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 186r-1.1351554e+01 2.33e+03 1.17e+03 0.9 7.37e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 187r-1.1395199e+01 2.33e+03 1.31e+03 0.9 2.21e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 188r-1.1409545e+01 2.33e+03 1.17e+03 0.9 8.28e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 189r-1.1454604e+01 2.33e+03 1.60e+03 0.9 2.48e+00 2.7 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r-1.1469483e+01 2.33e+03 1.17e+03 0.9 9.31e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 191r-1.1506626e+01 2.32e+03 1.17e+03 0.9 2.79e+00 2.6 1.00e+00 7.69e-01f 1\n", + " 192r-1.1570982e+01 2.32e+03 2.29e+03 0.9 8.34e+00 2.1 6.19e-01 4.59e-01f 1\n", + " 193r-1.1612090e+01 2.32e+03 1.17e+03 0.9 3.13e+00 2.6 1.00e+00 8.17e-01f 1\n", + " 194r-1.1623273e+01 2.32e+03 1.17e+03 0.9 9.26e+00 2.1 9.94e-01 4.77e-02f 1\n", + " 195r-1.2061835e+01 2.32e+03 3.29e+03 0.9 3.22e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 196r-1.2182768e+01 2.31e+03 1.09e+03 0.9 1.23e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 197r-1.2270040e+01 2.31e+03 1.08e+03 0.9 3.65e+00 2.5 1.00e+00 3.51e-01f 1\n", + " 198r-1.2702719e+01 2.31e+03 6.56e+03 0.9 1.08e+01 2.0 6.60e-01 7.01e-01f 1\n", + " 199r-1.2723100e+01 2.31e+03 2.85e+03 0.9 4.14e+00 2.4 1.00e+00 4.99e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200r-1.2714084e+01 2.30e+03 1.09e+03 0.9 1.57e+00 2.8 1.00e+00 6.06e-01f 1\n", + " 201r-1.2825997e+01 2.30e+03 1.07e+03 0.9 4.64e+00 2.4 1.00e+00 9.09e-02f 1\n", + " 202r-1.3653853e+01 2.30e+03 6.28e+03 0.9 1.40e+01 1.9 1.00e+00 3.78e-01f 1\n", + " 203r-1.3705091e+01 2.30e+03 6.08e+03 0.9 5.16e+00 2.3 1.00e+00 3.19e-02f 1\n", + " 204r-1.4251568e+01 2.30e+03 1.06e+03 0.9 1.91e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 205r-1.6118940e+01 2.29e+03 6.18e+03 0.9 5.75e+00 2.3 6.31e-01 1.00e+00f 1\n", + " 206r-1.6276861e+01 2.29e+03 1.01e+03 0.9 2.06e+00 2.7 6.82e-01 1.00e+00f 1\n", + " 207r-1.6396668e+01 2.29e+03 1.01e+03 0.9 6.30e+00 2.2 9.53e-01 1.25e-01f 1\n", + " 208r-1.7499706e+01 2.28e+03 7.33e+03 0.9 1.88e+01 1.7 6.88e-01 4.06e-01f 1\n", + " 209r-1.7484787e+01 2.28e+03 6.52e+03 0.9 8.92e-01 3.1 1.00e+00 1.10e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 210r-1.7317503e+01 2.28e+03 1.46e+03 0.9 3.61e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 211r-1.7338736e+01 2.28e+03 1.44e+03 0.9 9.70e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 212r-1.7414461e+01 2.28e+03 1.00e+03 0.9 2.91e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 213r-1.7430149e+01 2.27e+03 1.00e+03 0.9 1.09e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 214r-1.7491821e+01 2.27e+03 1.00e+03 0.9 3.27e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 215r-1.7497688e+01 2.27e+03 1.00e+03 0.9 1.22e+00 2.9 1.00e+00 5.80e-01f 1\n", + " 216r-1.7782718e+01 2.27e+03 1.02e+03 0.9 3.74e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 217r-1.7835230e+01 2.27e+03 1.01e+03 0.9 1.39e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 218r-1.8049822e+01 2.26e+03 1.01e+03 0.9 4.17e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 219r-1.8085939e+01 2.26e+03 1.00e+03 0.9 1.55e+00 2.8 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 220r-1.8243584e+01 2.26e+03 1.01e+03 0.9 4.68e+00 2.3 1.00e+00 1.00e+00f 1\n", + " 221r-1.8255170e+01 2.25e+03 1.00e+03 0.9 1.74e+00 2.8 1.00e+00 5.39e-01f 1\n", + " 222r-1.8263324e+01 2.25e+03 1.00e+03 0.9 5.25e+00 2.3 1.00e+00 5.86e-02f 1\n", + " 223r-1.8308706e+01 2.25e+03 1.00e+03 0.9 1.97e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 224r-1.8456513e+01 2.25e+03 1.50e+03 0.9 5.91e+00 2.2 1.00e+00 1.00e+00f 1\n", + " 225r-1.8484621e+01 2.24e+03 1.00e+03 0.9 2.21e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 226r-1.8528613e+01 2.24e+03 1.00e+03 0.9 6.63e+00 2.2 1.00e+00 3.77e-01f 1\n", + " 227r-1.8523664e+01 2.24e+03 1.00e+03 0.9 1.99e+01 1.7 1.00e+00 1.29e-02f 1\n", + " 228r-1.8333088e+01 2.23e+03 2.13e+03 0.9 7.49e+00 2.1 1.00e+00 1.00e+00f 1\n", + " 229r-1.8298300e+01 2.23e+03 1.02e+03 0.9 3.57e-01 3.5 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 230r-1.8262583e+01 2.23e+03 1.01e+03 0.9 1.06e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 231r-1.8148252e+01 2.23e+03 1.01e+03 0.9 3.17e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 232r-1.7722350e+01 2.22e+03 2.48e+03 0.9 9.53e+00 2.0 1.00e+00 1.00e+00f 1\n", + " 233r-1.7605271e+01 2.22e+03 1.06e+03 0.9 4.68e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 234r-1.7503878e+01 2.22e+03 1.31e+03 0.9 1.35e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 235r-1.7158355e+01 2.21e+03 1.02e+03 0.9 4.06e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 236r-1.5423604e+01 2.20e+03 3.70e+03 0.9 1.24e+01 1.9 1.00e+00 1.00e+00f 1\n", + " 237r-1.1966623e+01 2.20e+03 1.12e+03 0.9 5.02e+00 2.3 1.00e+00 1.00e+00f 1\n", + " 238r-1.2430280e+01 2.19e+03 1.19e+03 0.9 1.48e+01 1.9 1.00e+00 4.37e-01f 1\n", + " 239r-1.2441112e+01 2.19e+03 1.16e+03 0.9 5.47e+00 2.3 1.00e+00 3.13e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 240r-1.3011083e+01 2.18e+03 2.10e+04 0.9 1.60e+01 1.8 1.00e+00 1.00e+00f 1\n", + " 241r-1.3029229e+01 2.18e+03 3.03e+03 0.9 7.63e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 242r-1.3144362e+01 2.17e+03 2.44e+03 0.9 2.25e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 243r-1.3278493e+01 2.17e+03 1.06e+03 0.9 6.76e+00 2.2 1.00e+00 1.00e+00f 1\n", + " 244r-1.3350918e+01 2.16e+03 1.70e+03 0.9 2.02e+01 1.7 1.00e+00 6.52e-01f 1\n", + " 245r-1.3351414e+01 2.16e+03 1.66e+03 0.9 7.59e+00 2.1 1.00e+00 2.28e-02f 1\n", + " 246r-1.3350493e+01 2.16e+03 1.33e+03 0.9 2.85e+00 2.6 1.00e+00 1.82e-01f 1\n", + " 247r-1.3355091e+01 2.15e+03 1.12e+03 0.9 8.54e+00 2.1 1.00e+00 1.54e-01f 1\n", + " 248r-1.3364488e+01 2.15e+03 1.09e+03 0.9 2.55e+01 1.6 1.00e+00 1.01e-01f 1\n", + " 249r-1.3371238e+01 2.15e+03 1.06e+03 0.9 9.60e+00 2.0 1.00e+00 2.08e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 250r-1.3384009e+01 2.15e+03 1.06e+03 0.9 2.87e+01 1.6 1.00e+00 1.28e-01f 1\n", + " 251r-1.3391276e+01 2.14e+03 1.06e+03 0.9 1.08e+01 2.0 1.00e+00 2.18e-01f 1\n", + " 252r-1.3405333e+01 2.14e+03 1.06e+03 0.9 3.22e+01 1.5 9.44e-01 1.30e-01f 1\n", + " 253r-1.3412846e+01 2.14e+03 1.06e+03 0.9 1.21e+01 1.9 1.00e+00 2.13e-01f 1\n", + " 254r-1.3428662e+01 2.13e+03 1.06e+03 0.9 3.62e+01 1.5 8.89e-01 1.27e-01f 1\n", + " 255r-1.3438361e+01 2.13e+03 1.06e+03 0.9 1.36e+01 1.9 1.00e+00 2.06e-01f 1\n", + " 256r-1.3467133e+01 2.13e+03 1.05e+03 0.9 4.04e+01 1.4 9.34e-01 1.28e-01f 1\n", + " 257r-1.3561423e+01 2.12e+03 1.05e+03 0.9 1.48e+01 1.8 1.00e+00 1.86e-01f 1\n", + " 258r-1.4315528e+01 2.12e+03 1.65e+03 0.9 4.57e+01 1.4 3.55e-01 1.51e-01f 1\n", + " 259r-1.4627321e+01 2.12e+03 1.36e+03 0.9 2.11e+00 2.7 1.00e+00 1.75e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 260r-1.7448124e+01 2.11e+03 2.46e+03 0.9 6.33e+00 2.2 3.07e-01 1.00e+00f 1\n", + " 261r-1.7448278e+01 2.11e+03 1.00e+03 0.9 2.30e+00 2.6 1.00e+00 9.67e-01f 1\n", + " 262r-1.7527065e+01 2.11e+03 1.00e+03 0.9 6.94e+00 2.2 1.00e+00 5.69e-02f 1\n", + " 263r-1.7928108e+01 2.10e+03 1.00e+03 0.9 2.08e+01 1.7 1.00e+00 1.05e-01f 1\n", + " 264r-1.9508375e+01 2.09e+03 2.29e+03 0.9 6.25e+01 1.2 2.55e-01 2.28e-01f 1\n", + " 265r-1.9495549e+01 2.09e+03 2.14e+03 0.9 2.95e+00 2.5 1.00e+00 6.25e-02f 1\n", + " 266r-1.9496873e+01 2.08e+03 1.00e+03 0.9 8.72e+00 2.1 1.00e+00 7.87e-01f 1\n", + " 267r-1.9504830e+01 2.08e+03 1.00e+03 0.9 2.62e+01 1.6 1.00e+00 1.01e-02f 1\n", + " 268r-1.9739388e+01 2.07e+03 3.54e+03 0.9 9.82e+00 2.0 1.00e+00 1.00e+00f 1\n", + " 269r-1.9738744e+01 2.07e+03 3.92e+03 0.9 4.60e-01 3.3 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 270r-1.9773303e+01 2.07e+03 1.00e+03 0.9 1.38e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 271r-1.9871766e+01 2.07e+03 1.00e+03 0.9 4.14e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 272r-2.0131046e+01 2.06e+03 2.42e+03 0.9 1.24e+01 1.9 1.00e+00 1.00e+00f 1\n", + " 273r-2.0166977e+01 2.05e+03 1.11e+03 0.9 4.66e+00 2.3 1.00e+00 5.49e-01f 1\n", + " 274r-2.0191262e+01 2.05e+03 1.01e+03 0.9 1.40e+01 1.9 1.00e+00 1.06e-01f 1\n", + " 275r-2.0542882e+01 2.03e+03 9.58e+03 0.9 4.19e+01 1.4 1.00e+00 5.47e-01f 1\n", + " 276r-2.0515582e+01 2.03e+03 1.82e+04 0.9 2.51e-01 3.6 9.48e-01 1.00e+00f 1\n", + " 277r-1.9415646e+01 5.51e+02 1.81e+04 0.9 6.03e+06 - 4.51e-04 3.33e-04f 1\n", + " 278r-1.9386624e+01 5.54e+02 1.81e+04 0.9 1.29e+06 - 3.42e-03 1.56e-05f 1\n", + " 279r-1.9471143e+01 5.45e+02 1.80e+04 0.9 6.22e+03 - 2.71e-02 1.45e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 280r-2.0746408e+01 4.61e+02 9.44e+04 0.9 7.14e+03 - 1.38e-02 4.56e-02f 1\n", + " 281r-2.0564254e+01 4.10e+02 8.33e+04 0.9 9.92e+00 4.0 1.11e-01 1.13e-01h 1\n", + " 282r-1.8690639e+01 2.35e+02 5.18e+04 0.9 9.25e+00 3.6 5.73e-02 1.00e+00h 1\n", + " 283r-1.8698611e+01 2.32e+02 5.11e+04 0.9 3.43e+03 - 1.20e-03 1.02e-03f 1\n", + " 284r-1.8673273e+01 2.31e+02 4.84e+04 0.9 3.19e+00 3.1 3.23e-01 3.64e-02h 1\n", + " 285r-1.8700393e+01 2.18e+02 4.45e+04 0.9 2.33e+03 - 1.71e-02 6.26e-03f 1\n", + " 286r-1.8474414e+01 2.13e+02 1.03e+05 0.9 3.00e+00 2.6 8.53e-01 3.33e-01f 1\n", + " 287r-1.8403999e+01 2.13e+02 7.99e+04 0.9 2.28e+00 3.0 3.60e-01 1.31e-01f 1\n", + " 288r-1.8319641e+01 2.13e+02 5.15e+04 0.9 3.07e+00 2.6 3.02e-01 1.72e-01f 1\n", + " 289r-1.8244433e+01 2.12e+02 5.80e+04 0.9 2.41e+00 3.0 1.16e-01 1.78e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 290r-1.8215228e+01 2.12e+02 4.88e+04 0.9 1.82e+00 3.4 6.34e-02 8.20e-02h 3\n", + " 291r-1.8144417e+01 2.10e+02 2.79e+05 0.9 1.72e+00 3.8 3.94e-02 2.11e-01h 1\n", + " 292r-1.8138626e+01 2.10e+02 2.69e+05 0.9 1.35e+00 4.3 9.06e-02 2.17e-02h 4\n", + " 293r-1.8123118e+01 2.10e+02 2.37e+05 0.9 1.79e+00 3.8 1.21e-01 5.86e-02h 3\n", + " 294r-1.8066496e+01 2.08e+02 1.59e+05 0.9 2.62e+00 3.3 5.45e-01 2.28e-01h 1\n", + " 295r-1.8063409e+01 2.08e+02 1.57e+05 0.9 1.52e+00 3.7 1.67e-01 1.54e-02h 4\n", + " 296r-1.8059299e+01 2.08e+02 1.52e+05 0.9 1.42e+00 4.2 1.62e-01 2.11e-02h 4\n", + " 297r-1.8057396e+01 2.08e+02 1.51e+05 0.9 1.62e+00 3.7 1.25e-01 9.90e-03h 5\n", + " 298r-1.8052741e+01 2.08e+02 1.47e+05 0.9 1.56e+00 4.1 1.85e-01 2.49e-02h 4\n", + " 299r-1.8043665e+01 2.08e+02 1.40e+05 0.9 1.93e+00 3.6 1.95e-01 5.01e-02h 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 300r-1.8025193e+01 2.08e+02 1.10e+05 0.9 2.66e+00 3.1 6.61e-01 1.17e-01h 1\n", + " 301r-1.8016731e+01 2.07e+02 9.54e+04 0.9 3.52e+00 2.7 2.82e-01 8.37e-02h 3\n", + " 302r-1.8076444e+01 1.86e+02 9.49e+04 0.9 5.16e+03 - 1.38e-02 4.17e-03f 1\n", + " 303r-1.8334826e+01 9.31e+01 8.95e+04 0.9 5.68e+03 - 1.14e-01 2.15e-02f 1\n", + " 304r-1.8435647e+01 9.33e+01 8.85e+04 0.9 7.83e+03 - 9.03e-02 7.45e-03f 1\n", + " 305r-1.8419013e+01 7.59e+01 3.81e+04 0.9 4.57e+00 2.2 1.00e+00 2.26e-01f 1\n", + " 306r-1.8417242e+01 7.74e+01 3.79e+04 0.9 9.93e+02 - 3.31e-02 4.68e-03f 1\n", + " 307r-1.8416693e+01 7.57e+01 3.69e+04 0.9 4.35e+00 1.7 1.00e+00 2.28e-02f 1\n", + " 308r-1.8378129e+01 4.96e+01 3.49e+04 0.9 6.08e+00 1.2 1.00e+00 8.39e-01f 1\n", + " 309r-1.8377029e+01 4.94e+01 7.85e+04 0.9 1.14e-01 7.1 1.20e-01 5.03e-02h 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 310r-1.8372970e+01 4.18e+01 6.58e+04 0.9 2.06e+01 - 5.54e-01 1.64e-01f 1\n", + " 311r-1.8367085e+01 3.17e+01 4.86e+04 0.9 1.65e+01 - 3.40e-01 2.68e-01f 1\n", + " 312r-1.8363089e+01 2.53e+01 3.81e+04 0.9 1.06e+01 - 4.75e-01 2.20e-01f 1\n", + " 313r-1.8346395e+01 8.70e+00 3.66e+03 0.9 8.95e+00 - 4.05e-01 1.00e+00f 1\n", + " 314r-1.8346043e+01 1.07e+00 1.28e+04 0.9 3.51e-03 6.6 1.00e+00 1.00e+00h 1\n", + " 315r-1.8346044e+01 1.16e-01 8.52e+02 0.9 5.17e-04 6.1 1.00e+00 1.00e+00f 1\n", + " 316r-1.8346046e+01 1.16e-01 4.29e+02 0.9 9.57e-04 5.7 1.00e+00 1.00e+00f 1\n", + " 317r-1.8346056e+01 1.65e-01 5.66e+02 0.2 3.76e-03 5.2 1.00e+00 1.00e+00f 1\n", + " 318r-1.8346120e+01 8.14e-01 4.02e+02 0.2 7.76e-03 4.7 1.00e+00 8.68e-01f 1\n", + " 319r-1.8346285e+01 1.33e+00 4.15e+02 0.2 2.13e-02 4.2 1.00e+00 8.55e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 320r-1.8346558e+01 9.40e-01 2.28e+02 0.2 3.33e-02 3.7 1.00e+00 8.95e-01f 1\n", + " 321r-1.8347152e+01 1.18e+00 1.61e+02 0.2 6.51e-02 3.3 1.00e+00 9.96e-01f 1\n", + " 322r-1.8348178e+01 1.88e+00 1.59e+02 0.2 1.26e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 323r-1.8349791e+01 1.24e+00 1.64e+02 0.2 2.46e-01 2.3 1.00e+00 1.00e+00f 1\n", + " 324r-1.8351693e+01 3.09e+00 1.80e+02 0.2 4.79e-01 1.8 1.00e+00 1.00e+00f 1\n", + " 325r-1.7803977e+01 3.82e+00 1.76e+02 0.2 3.86e+01 - 2.49e-01 1.66e-01f 1\n", + " 326r-1.7013700e+01 5.27e+00 4.68e+02 0.2 3.56e+01 - 6.82e-01 1.86e-01f 1\n", + " 327r-1.6798197e+01 1.25e+00 9.19e+01 0.2 9.42e-01 1.4 1.00e+00 1.00e+00f 1\n", + " 328r-1.6549868e+01 4.03e+01 4.38e+02 -0.5 1.25e+01 - 1.08e-01 1.34e-01f 1\n", + " 329r-1.6538028e+01 3.49e+01 2.65e+02 -0.5 9.62e-02 2.7 6.22e-01 4.28e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 330r-1.6530306e+01 2.01e+01 3.75e+02 -0.5 1.35e-01 2.2 8.40e-01 5.43e-01f 1\n", + " 331r-1.6529920e+01 1.52e+01 7.17e+02 -0.5 3.85e-01 1.7 1.00e+00 2.86e-01f 1\n", + " 332r-1.6534910e+01 6.36e+00 2.86e+02 -0.5 1.01e+00 1.3 1.00e+00 6.79e-01f 1\n", + " 333r-1.6539565e+01 4.50e+00 4.74e+02 -0.5 2.44e+00 0.8 1.00e+00 3.11e-01f 1\n", + " 334r-1.6859397e+01 3.72e+00 6.73e+02 -0.5 1.75e+01 - 1.00e+00 1.77e-01f 1\n", + " 335r-1.6668131e+01 3.27e+00 4.68e+02 -0.5 1.66e+01 - 7.32e-01 1.73e-01f 1\n", + " 336r-1.6427053e+01 3.10e+00 6.15e+02 -0.5 2.31e+01 - 1.00e+00 2.40e-01f 1\n", + " 337r-1.6358124e+01 2.56e+00 5.52e+02 -0.5 3.27e+01 - 6.17e-01 1.89e-01f 1\n", + " 338r-1.6038198e+01 2.75e+00 4.65e+02 -0.5 3.25e+01 - 9.45e-01 3.35e-01f 1\n", + " 339r-1.5955134e+01 2.59e+00 5.18e+02 -0.5 3.31e+01 - 1.00e+00 7.89e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 340r-1.4026817e+01 8.46e+00 2.01e+02 -0.5 4.91e+00 - 1.00e+00 8.16e-01f 1\n", + " 341r-1.3958001e+01 2.55e+00 3.91e+02 -0.5 6.57e-01 0.3 3.37e-01 7.42e-01f 1\n", + " 342r-1.3960857e+01 1.24e+00 3.60e+02 -0.5 1.96e-01 1.6 9.40e-01 6.45e-01f 1\n", + " 343r-1.4002816e+01 2.73e+00 3.17e+02 -0.5 3.95e+00 - 1.37e-01 1.59e-01f 1\n", + " 344r-1.4023774e+01 7.39e-01 2.79e+02 -0.5 1.12e-01 1.2 1.00e+00 1.00e+00f 1\n", + " 345r-1.4383343e+01 8.27e-01 1.12e+03 -0.5 3.72e-01 0.7 1.00e+00 1.00e+00h 1\n", + " 346r-1.5745630e+01 5.00e+00 2.75e+02 -0.5 2.57e+00 0.2 9.36e-01 8.57e-01f 1\n", + " 347r-1.5628053e+01 9.16e-01 2.14e+02 -0.5 2.69e-01 1.5 1.00e+00 1.00e+00f 1\n", + " 348r-1.5625860e+01 1.82e-01 5.37e+01 -0.5 1.93e-02 2.0 1.00e+00 1.00e+00h 1\n", + " 349r-1.6084164e+01 1.86e+00 2.42e+02 -0.5 1.98e+00 - 8.18e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 350r-1.6554042e+01 2.12e+00 2.86e+01 -0.5 1.34e+00 - 1.00e+00 1.00e+00h 1\n", + " 351r-1.6427991e+01 1.26e+00 1.25e+01 -0.5 5.16e-01 - 1.00e+00 1.00e+00h 1\n", + " 352r-1.6429641e+01 3.73e-01 1.59e+02 -1.2 9.72e-01 - 1.00e+00 8.69e-01f 1\n", + " 353r-1.6350094e+01 3.48e-01 1.26e+03 -1.2 1.23e+01 - 7.58e-01 1.16e-01f 1\n", + " 354r-1.6173058e+01 7.34e-01 1.68e+03 -1.2 9.25e+00 - 1.00e+00 1.83e-01f 1\n", + " 355r-1.6000319e+01 1.30e+00 1.32e+03 -1.2 7.71e+00 - 1.00e+00 2.64e-01f 1\n", + " 356r-1.5787450e+01 1.99e+00 8.35e+02 -1.2 7.40e+00 - 1.00e+00 3.73e-01f 1\n", + " 357r-1.5332704e+01 4.57e+00 7.22e+01 -1.2 6.36e+00 - 1.00e+00 1.00e+00f 1\n", + " 358r-1.5290318e+01 1.57e-01 3.13e+00 -1.2 2.84e+00 - 1.00e+00 1.00e+00h 1\n", + " 359r-1.5584114e+01 4.37e-01 1.95e+02 -1.9 1.88e+00 - 9.10e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 360r-1.5259138e+01 1.57e+00 8.11e+01 -1.9 2.10e+01 - 3.56e-01 1.87e-01f 1\n", + " 361r-1.5243231e+01 2.03e-02 8.44e+00 -1.9 6.32e-02 1.5 1.00e+00 1.00e+00h 1\n", + " 362r-1.5245119e+01 5.57e-03 1.90e+00 -1.9 1.71e-02 1.0 1.00e+00 1.00e+00h 1\n", + " 363r-1.5112278e+01 6.09e-01 1.65e+02 -1.9 1.70e+01 - 6.86e-01 2.79e-01f 1\n", + " 364r-1.4906134e+01 2.09e+00 1.36e+02 -1.9 2.13e+01 - 1.00e+00 5.25e-01f 1\n", + " 365r-1.4898310e+01 1.78e+00 1.29e+02 -1.9 1.37e+01 - 1.00e+00 1.66e-01h 1\n", + " 366r-1.4643307e+01 1.21e+00 2.91e+01 -1.9 1.12e+01 - 1.00e+00 1.00e+00h 1\n", + " 367r-1.4641394e+01 5.36e-02 2.18e-01 -1.9 3.20e+00 - 1.00e+00 1.00e+00h 1\n", + " 368r-1.5050973e+01 5.12e-01 3.39e+02 -2.9 1.32e+00 - 6.39e-01 1.00e+00f 1\n", + " 369r-1.4436269e+01 2.33e+00 2.14e+02 -2.9 3.28e+01 - 3.60e-01 2.49e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 370r-1.4081335e+01 2.94e+00 1.85e+02 -2.9 2.17e+01 - 1.35e-01 1.38e-01f 1\n", + " 371r-1.4094379e+01 2.87e+00 5.90e+02 -2.9 6.75e-01 0.5 2.46e-01 2.55e-02h 1\n", + " 372r-1.4093236e+01 2.86e+00 3.34e+02 -2.9 1.89e+01 - 5.34e-01 2.31e-03h 1\n", + " 373r-1.3986240e+01 2.79e+00 3.10e+02 -2.9 1.77e+01 - 1.00e+00 1.28e-01f 1\n", + " 374r-1.3831680e+01 3.19e+00 2.59e+02 -2.9 1.40e+01 - 1.00e+00 2.04e-01h 1\n", + " 375r-1.3711147e+01 4.03e+00 2.77e+02 -2.9 8.65e+00 - 1.00e+00 1.78e-01h 1\n", + " 376r-1.2072513e+01 7.12e+01 1.27e+02 -2.9 1.10e+01 - 1.00e+00 9.98e-01h 1\n", + " 377r-1.2293309e+01 6.83e+01 1.21e+02 -2.9 9.92e+00 - 4.75e-01 4.52e-02h 1\n", + " 378r-1.3036278e+01 5.11e+01 9.82e+01 -2.9 5.09e+00 - 1.00e+00 3.39e-01h 1\n", + " 379r-1.3317436e+01 1.68e+01 3.97e+01 -2.9 2.53e+00 - 1.00e+00 7.35e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 380r-1.3241069e+01 3.10e-01 2.43e-02 -2.9 6.61e-01 - 1.00e+00 1.00e+00h 1\n", + " 381r-1.3230401e+01 1.25e-03 3.36e-05 -2.9 3.33e-02 - 1.00e+00 1.00e+00h 1\n", + " 382r-1.3236533e+01 7.25e-04 4.59e-01 -4.4 1.06e-01 - 1.00e+00 1.00e+00f 1\n", + " 383r-1.3236806e+01 6.51e-04 6.63e+02 -4.4 7.17e-02 - 1.00e+00 1.07e-01h 1\n", + " 384r-1.3237030e+01 4.12e-07 2.03e-02 -4.4 3.35e-03 - 1.00e+00 1.00e+00h 1\n", + " 385r-1.3237030e+01 1.48e-08 5.70e-10 -4.4 3.42e-06 - 1.00e+00 1.00e+00h 1\n", + " 386r-1.3237050e+01 5.81e-09 9.66e-02 -6.6 3.79e-04 - 1.00e+00 1.00e+00f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Number of Iterations....: 386\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -1.3237050371369904e+01 -1.3237050371369904e+01\n", + "Dual infeasibility......: 2.6687985155149363e-10 2.6687985155149363e-10\n", + "Constraint violation....: 5.8136038205702789e-09 5.8136038205702789e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 5.8136038205702789e-09 5.8136038205702789e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 571\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 571\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 388\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 386\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 4.903\n", + "Total CPU secs in NLP function evaluations = 0.526\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "FIM: [[ 34.82843309 8.984655 -93.24076113 -36.95321436]\n", + " [ 8.984655 34.72022839 -19.10068151 -169.3211828 ]\n", + " [ -93.24076113 -19.10068151 261.9835756 82.95162856]\n", + " [ -36.95321436 -169.3211828 82.95162856 876.13508114]]\n", + "Trace: 1207.6673182276875\n", + "Determinant: 560761.169565876\n", + "Condition number: 1016.6953775260088\n", + "Minimal eigen value: 0.9075873179593128\n", + "Eigen values: [9.22739831e+02 2.81642446e+02 9.07587318e-01 2.37745409e+00]\n", + "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", + " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", + " [-0.13533434 0.93253239 -0.26619814 0.20299388]\n", + " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", + "Model objective: 13.237050371369904\n", + "Objective(determinant) is: 560761.1696834561\n", + "Solution of CA0 : [5]\n", + "Solution of T : [500]\n", + "======problem solver output======\n", + "converged\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 25168\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 1931\n", + "\n", + "Reallocating memory for MA57: lfact (322524)\n", + "Total number of variables............................: 6416\n", + " variables with only lower bounds: 2316\n", + " variables with lower and upper bounds: 98\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 6414\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -1.3237050e+01 4.38e-01 1.59e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (347535)\n", + " 1 -1.3250603e+01 3.62e-01 8.68e+00 -1.0 1.09e+01 - 9.59e-01 1.73e-01h 1\n", + " 2 -1.3263724e+01 1.76e-01 2.08e+01 -1.0 3.71e+01 - 5.88e-01 1.00e+00H 1\n", + " 3 -1.3300325e+01 2.76e+01 4.10e+02 -1.0 9.15e+01 - 3.84e-01 8.86e-01f 1\n", + " 4 -1.3249541e+01 1.75e+01 1.38e+02 -1.0 7.34e+01 - 5.85e-01 1.00e+00f 1\n", + " 5 -1.3249182e+01 5.54e+01 1.94e+02 -1.0 1.81e+02 - 4.67e-01 1.00e+00f 1\n", + " 6 -1.3182923e+01 2.26e+01 2.77e+01 -1.0 1.26e+02 - 6.17e-01 1.00e+00f 1\n", + " 7 -1.3144218e+01 5.70e+01 1.96e+01 -1.0 2.45e+02 - 6.06e-01 1.00e+00f 1\n", + " 8 -1.3075336e+01 1.41e+01 3.15e+01 -1.0 5.98e+01 - 6.42e-01 1.00e+00f 1\n", + " 9 -1.3102315e+01 6.31e+00 1.75e+01 -1.0 2.58e+01 - 8.16e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.3128189e+01 1.96e+00 5.94e-01 -1.0 6.77e+01 - 1.00e+00 1.00e+00h 1\n", + " 11 -1.3135808e+01 2.02e-02 8.59e-03 -1.0 5.94e+00 - 1.00e+00 1.00e+00h 1\n", + " 12 -1.3135967e+01 6.96e-05 8.73e-03 -2.5 2.77e-01 - 1.00e+00 1.00e+00h 1\n", + " 13 -1.3142004e+01 1.23e-01 1.74e-01 -3.8 1.26e+01 - 9.79e-01 1.00e+00h 1\n", + " 14 -1.3143769e+01 1.30e-03 7.35e-04 -3.8 1.54e+00 -4.0 1.00e+00 1.00e+00h 1\n", + " 15 -1.3146132e+01 1.38e-02 6.25e-03 -5.7 4.57e+00 -4.5 9.87e-01 1.00e+00h 1\n", + " 16 -1.3154238e+01 1.62e-01 5.07e-02 -5.7 1.61e+01 -5.0 1.00e+00 1.00e+00h 1\n", + " 17 -1.3192687e+01 3.08e+00 9.46e-01 -5.7 7.46e+01 -5.4 1.00e+00 1.00e+00h 1\n", + " 18 -1.3220928e+01 3.80e+00 1.16e+00 -5.7 1.10e+03 -5.9 2.69e-01 3.96e-02h 1\n", + " 19 -1.3231006e+01 6.29e-02 4.88e-02 -5.7 3.48e+00 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.3237631e+01 3.80e-02 1.36e-02 -5.7 9.12e+00 - 1.00e+00 1.00e+00h 1\n", + " 21 -1.3237666e+01 4.95e-06 3.18e-06 -5.7 7.63e-02 - 1.00e+00 1.00e+00h 1\n", + " 22 -1.3237847e+01 2.69e-05 1.07e-05 -8.6 2.43e-01 - 1.00e+00 1.00e+00h 1\n", + " 23 -1.3237847e+01 1.49e-11 5.33e-12 -8.6 1.77e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 23\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -1.3237846622082674e+01 -1.3237846622082674e+01\n", + "Dual infeasibility......: 5.3290705182007514e-12 5.3290705182007514e-12\n", + "Constraint violation....: 1.0913936421275139e-11 1.4892975741531700e-11\n", + "Complementarity.........: 2.5059048858154309e-09 2.5059048858154309e-09\n", + "Overall NLP error.......: 2.5059048858154309e-09 2.5059048858154309e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 26\n", + "Number of objective gradient evaluations = 24\n", + "Number of equality constraint evaluations = 26\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 24\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 23\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.256\n", + "Total CPU secs in NLP function evaluations = 0.030\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "FIM: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", + " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", + " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", + " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n", + "Trace: 1981.0424592681254\n", + "Determinant: 561207.853977222\n", + "Condition number: 2950.220504105462\n", + "Minimal eigen value: 0.5016010464924008\n", + "Eigen values: [1.47983369e+03 4.99192614e+02 5.01601046e-01 1.51455219e+00]\n", + "Eigen vectors: [[-0.03538095 0.3120344 -0.77934566 0.54222049]\n", + " [-0.17098781 -0.01375256 0.56416591 0.80764526]\n", + " [ 0.09797729 -0.94433769 -0.25524836 0.18296187]\n", + " [ 0.97975089 0.10330402 0.09584074 0.14223581]]\n", + "Model objective: 13.237846622082674\n", + "Objective(determinant) is: 561207.8539772539\n", + "Solution of CA0 : [5.0]\n", + "Solution of T : [300.0000242851759]\n", + "======problem solver output======\n", + "converged\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -675,10 +1083,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "c6b08c05", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "This optimization is solved with status: converged\n", + "It gives solution: {'CA0': [5.0], 'T': [300.0000242851759]}\n", + "The log10(OF) optimized is: 13.237846622082674\n", + "The result FIM is: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", + " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", + " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", + " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n" + ] + } + ], "source": [ "print('======Result summary======')\n", "print('This optimization is solved with status:', optimize_result.status)\n", @@ -727,7 +1150,7 @@ " prior_FIM=prior_pass, discretize_model=disc)\n", "\n", "all_fim = doe_object.run_grid_search(exp1, design_ranges, dv_apply_time, \n", - " mode='sequential_finite', \n", + " mode='sequential_sipopt', \n", " scale_nominal_param_value=True\n", " )" ] From e8fbbf4ce9ce2243d24f668a86cd6d079120747c Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Thu, 5 Aug 2021 16:07:22 -0400 Subject: [PATCH 05/42] update grid search function to support multiple dimensions --- pyomo/contrib/doe/DoE_package.py | 94 +- pyomo/contrib/doe/reactor_control_doe.ipynb | 5237 ++++++++++++++++--- 2 files changed, 4638 insertions(+), 693 deletions(-) diff --git a/pyomo/contrib/doe/DoE_package.py b/pyomo/contrib/doe/DoE_package.py index 62066921526..b6866e8571a 100644 --- a/pyomo/contrib/doe/DoE_package.py +++ b/pyomo/contrib/doe/DoE_package.py @@ -101,7 +101,7 @@ def __check_inputs(self, check_mode=False, check_dimension_dv=False): grid_search_dv_dimension = 0 for i in self.dv_name: if i in self.dv_apply_time: - grid_search_dv_dimension += len(list(self.dv_apply_time[i].values())) + grid_search_dv_dimension += len((self.dv_apply_time[i])) if grid_search_dv_dimension != 2: raise ValueError('Deign variable should be 2') @@ -519,7 +519,7 @@ def generate_sequential_experiments(self, design_values_set, mode='sequential_fi return result_object_list, fim_list - def run_grid_search(self, design_values, dv_ranges, dv_apply_time, mode='sequential_finite', + def run_grid_search(self, design_values, design_ranges, design_dimension_names, design_control_time, mode='sequential_finite', tee_option=False, scale_nominal_param_value=False, scale_constant_value=1, filename=None, formula='central', step=0.001): ''' @@ -535,9 +535,9 @@ def run_grid_search(self, design_values, dv_ranges, dv_apply_time, mode='sequent Parameters: ----------- design_values: a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point - dv_ranges: a dict whose keys are design variable names, values are a list of design variable values to go over - dv_apply_time: a dict whose keys are design variable names, values are a list of control time points that - should be fixed to the values in dv_ranges + design_ranges: a list of design variable values to go over + design_dimension_names: a list of design variable names of each design range + deisgn_control_time: a list of control time points that should be fixed to the values in dv_ranges mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' tee_option: if IPOPT console output is made scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init @@ -552,8 +552,9 @@ def run_grid_search(self, design_values, dv_ranges, dv_apply_time, mode='sequent ------- result_combine: a list of dictionaries, which stores the FIM info from every grid searched. ''' - self.dv_ranges = dv_ranges - self.dv_apply_time = dv_apply_time + self.design_ranges = design_ranges + self.design_dimension_names = design_dimension_names + self.design_control_time = design_control_time self.formula = formula self.mode = mode self.scale_nominal_param_value = scale_nominal_param_value @@ -565,11 +566,11 @@ def run_grid_search(self, design_values, dv_ranges, dv_apply_time, mode='sequent # calculate how much the FIM element is scaled self.fim_scale_constant_value = self.scale_constant_value ** 2 - self.__check_inputs(check_mode=True, check_dimension_dv=True) + self.__check_inputs(check_mode=True, check_dimension_dv=False) # when defining design space, design variable values are defined as in design_values argument # the design var value defined in dv_ranges only applies to control time points given in dv_apply_time - self.dv_control_times = list(dv_apply_time.values()) + grid_dimension = len(design_ranges) # to store all FIM results result_combine = [] @@ -580,57 +581,54 @@ def run_grid_search(self, design_values, dv_ranges, dv_apply_time, mode='sequent # iteration 0 count = 0 # how many sets of design variables will be run - total_count = len(dv_ranges[self.dv_name[0]]) * len(dv_ranges[self.dv_name[1]]) - - # loop over design variables - for i, value_0 in enumerate(dv_ranges[self.dv_name[0]]): - for j, value_1 in enumerate(dv_ranges[self.dv_name[1]]): - # generate the design variable dictionary needed for running compute_FIM - design_iter = {} + total_count = 1 + for i in range(grid_dimension): + total_count *= len(design_ranges[i]) - # first copy value from design_Values - dv_iter1 = design_values[self.dv_name[0]].copy() - dv_iter2 = design_values[self.dv_name[1]].copy() + # generate combinations of design variable values to go over + search_design_set = product(*design_ranges) - # for timepoints given in dv_apply_times, change its value to be the ones in dv_ranges to go over - for t, tim in enumerate(self.dv_control_times[0]): - dv_iter1[tim] = value_0 - design_iter[self.dv_name[0]] = dv_iter1 + # loop over deign value combinations + for design_set_iter in search_design_set: + # generate the design variable dictionary needed for running compute_FIM + # first copy value from design_Values + design_iter = design_values.copy() - for t, tim in enumerate(self.dv_control_times[1]): - dv_iter2[tim] = value_1 - design_iter[self.dv_name[1]] = dv_iter2 + # update the controlled value of certain time points for certain design variables + for i in range(grid_dimension): + for v, value in enumerate(self.design_control_time[i]): + design_iter[design_dimension_names[i]][value] = list(design_set_iter)[i] - print('=======This is the ', count+1, 'th iteration=======') - print('Design variable values of this iteration:', design_iter) + print('=======This is the ', count+1, 'th iteration=======') + print('Design variable values of this iteration:', design_iter) - t_each_begin = time.time() + t_each_begin = time.time() - # call compute_FIM to get FIM - result_iter = self.compute_FIM(design_iter, mode=self.mode, - tee_opt=tee_option, - scale_nominal_param_value=self.scale_nominal_param_value, - formula=formula, step=step) + # call compute_FIM to get FIM + result_iter = self.compute_FIM(design_iter, mode=self.mode, + tee_opt=tee_option, + scale_nominal_param_value=self.scale_nominal_param_value, + formula=formula, step=step) - if (self.mode=='simultaneous_finite'): - result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.obj_opt) + if (self.mode=='simultaneous_finite'): + result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.obj_opt) - elif (self.mode == 'sequential_finite'): - result_iter.calculate_FIM(self.jac, self.design_values) + elif (self.mode == 'sequential_finite'): + result_iter.calculate_FIM(self.jac, self.design_values) - elif (self.mode == 'sequential_sipopt'): - result_iter.calculate_FIM(self.jac, self.design_values) + elif (self.mode == 'sequential_sipopt'): + result_iter.calculate_FIM(self.jac, self.design_values) - t_now = time.time() + t_now = time.time() - if self.verbose: - # give run information at each iteration - print('This is the ', count+1, ' run out of ', total_count, 'run.') - print('The code has run %.04f seconds.'% (t_now-t_begin)) - print('Estimated remaining time: %.4f seconds' % ((t_now-t_begin)/(count+1)*(total_count-count-1))) - count += 1 + if self.verbose: + # give run information at each iteration + print('This is the ', count+1, ' run out of ', total_count, 'run.') + print('The code has run %.04f seconds.'% (t_now-t_begin)) + print('Estimated remaining time: %.4f seconds' % ((t_now-t_begin)/(count+1)*(total_count-count-1))) + count += 1 - result_combine.append(result_iter) + result_combine.append(result_iter) t_end = time.time() print('The whole run takes ', t_end - t_begin, ' s.') diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 336ff1ddbd4..eb345e33b4f 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -383,7 +383,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "270e807a", "metadata": {}, "outputs": [], @@ -450,629 +450,12 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "wicked-raising", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 24280\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 1930\n", - "\n", - "Total number of variables............................: 6414\n", - " variables with only lower bounds: 2316\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6414\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 7.66e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (288851)\n", - " 1 -2.4685502e+01 2.35e+04 6.11e+04 -1.0 7.66e+02 - 2.58e-03 3.72e-01f 1\n", - " 2 -2.4586020e+01 2.22e+04 5.77e+04 -1.0 7.93e+02 - 1.57e-01 5.78e-02h 1\n", - " 3 -2.4584439e+01 2.21e+04 5.76e+04 -1.0 6.38e+02 - 2.59e-01 8.83e-04h 1\n", - " 4r-2.4584439e+01 2.21e+04 1.00e+03 4.3 0.00e+00 - 0.00e+00 2.78e-07R 6\n", - " 5r-2.2865595e+01 6.18e+03 3.40e+04 4.3 1.70e+07 - 1.70e-05 1.29e-03f 1\n", - " 6r-2.1815237e+01 2.41e+03 5.41e+07 2.2 3.53e+01 6.0 8.58e-01 1.00e+00f 1\n", - " 7r-1.4024175e+01 2.38e+03 7.18e+06 2.2 2.63e+01 5.5 8.54e-01 1.00e+00f 1\n", - " 8r-1.3886775e+01 2.38e+03 6.90e+06 2.2 2.48e+01 5.0 9.15e-01 4.09e-02f 1\n", - " 9r-1.2150629e+01 2.39e+03 7.41e+06 2.2 3.58e+01 4.6 6.34e-01 5.46e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r-1.2121550e+01 2.39e+03 7.34e+06 2.2 2.08e+01 5.0 1.00e+00 9.12e-03f 1\n", - " 11r-1.1911777e+01 2.39e+03 6.64e+06 2.2 2.52e+01 4.5 9.49e-01 1.08e-01f 1\n", - " 12r-1.1876678e+01 2.39e+03 6.56e+06 2.2 2.08e+01 4.9 1.00e+00 1.15e-02f 1\n", - " 13r-8.2517784e+00 2.39e+03 6.97e+06 2.2 2.45e+01 4.5 8.92e-01 1.00e+00f 1\n", - " 14r-6.9879319e+00 2.39e+03 6.81e+05 2.2 5.48e+00 4.9 1.00e+00 1.00e+00f 1\n", - " 15r-7.8638840e+00 2.39e+03 1.27e+05 2.2 9.54e-01 4.4 1.00e+00 1.00e+00f 1\n", - " 16r-9.1669199e+00 2.39e+03 1.36e+03 2.2 1.56e-01 3.9 1.00e+00 1.00e+00f 1\n", - " 17r-1.0093346e+01 2.39e+03 1.25e+03 1.5 4.34e-01 3.5 1.00e+00 1.00e+00f 1\n", - " 18r-1.2618142e+01 2.39e+03 1.25e+03 1.5 1.30e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 19r-1.2636611e+01 2.39e+03 1.25e+03 1.5 3.98e+00 2.5 1.00e+00 1.39e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r-1.2757583e+01 2.39e+03 1.29e+03 1.5 1.50e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 21r-1.2783707e+01 2.39e+03 1.29e+03 1.5 4.50e+00 2.5 1.00e+00 4.58e-01f 1\n", - " 22r-1.2768718e+01 2.39e+03 1.29e+03 1.5 1.38e+01 2.0 1.00e+00 1.25e-01f 1\n", - " 23r-1.2719773e+01 2.39e+03 1.31e+03 1.5 5.17e+00 2.4 1.00e+00 7.13e-01f 1\n", - " 24r-1.2662032e+01 2.39e+03 1.31e+03 1.5 1.59e+01 1.9 1.00e+00 2.26e-01f 1\n", - " 25r-1.2627075e+01 2.38e+03 1.32e+03 1.5 4.75e+01 1.5 1.00e+00 6.08e-02f 1\n", - " 26r-1.2501920e+01 2.38e+03 1.33e+03 1.5 1.80e+01 1.9 1.00e+00 2.70e-01f 1\n", - " 27r-1.2343219e+01 2.38e+03 1.33e+03 1.5 5.39e+01 1.4 4.13e-01 1.06e-01f 1\n", - " 28r-1.2246358e+01 2.38e+03 1.33e+03 1.5 2.04e+01 1.8 1.00e+00 1.49e-01f 1\n", - " 29r-1.2030839e+01 2.37e+03 1.34e+03 1.5 6.08e+01 1.3 6.50e-01 1.32e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r-1.1623580e+01 2.37e+03 1.36e+03 0.9 2.90e+00 2.7 1.00e+00 5.18e-01f 1\n", - " 31r-1.1410963e+01 2.37e+03 1.36e+03 0.9 8.58e+00 2.2 9.00e-01 1.92e-01f 1\n", - " 32r-1.1050453e+01 2.36e+03 1.38e+03 0.9 2.51e+01 1.7 1.00e+00 2.39e-01f 1\n", - " 33r-1.0987561e+01 2.36e+03 1.35e+03 0.9 9.46e+00 2.1 1.00e+00 6.56e-02f 1\n", - " 34r-1.0223963e+01 2.36e+03 1.35e+03 0.9 3.60e+00 2.6 1.00e+00 9.93e-01f 1\n", - " 35r-1.0103402e+01 2.36e+03 1.25e+04 0.9 1.06e+01 2.1 6.70e-01 2.37e-01f 1\n", - " 36r-1.0096112e+01 2.36e+03 1.22e+04 0.9 3.98e+00 2.5 6.72e-02 2.67e-02f 1\n", - " 37r-1.0077262e+01 2.36e+03 1.08e+04 0.9 1.51e+00 2.9 4.09e-01 1.10e-01f 1\n", - " 38r-1.0049973e+01 2.36e+03 4.00e+03 0.9 1.97e-01 4.3 1.00e+00 6.47e-01f 1\n", - " 39r-1.0045110e+01 2.36e+03 2.22e+04 0.9 2.98e-01 3.8 5.61e-02 1.22e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r-1.0027704e+01 2.36e+03 5.93e+03 0.9 6.36e-01 3.3 2.37e-01 2.33e-01f 1\n", - " 41r-1.0036773e+01 2.36e+03 8.72e+04 0.9 9.12e+00 2.8 2.13e-01 1.93e-01f 1\n", - " 42r-1.0038692e+01 2.36e+03 5.20e+04 0.9 7.91e+00 2.4 1.60e-02 2.29e-01f 1\n", - " 43r-1.0064696e+01 2.36e+03 7.76e+04 0.9 5.45e+00 2.8 6.15e-01 3.30e-01f 1\n", - " 44r-1.0067720e+01 2.36e+03 6.84e+04 0.9 6.86e+00 2.3 3.91e-01 1.28e-01f 1\n", - " 45r-1.0075674e+01 2.36e+03 6.61e+04 0.9 4.01e+00 2.7 4.91e-01 3.86e-02f 1\n", - " 46r-1.0124849e+01 2.36e+03 5.61e+04 0.9 6.96e+00 2.3 4.50e-01 1.67e-01f 1\n", - " 47r-1.0159881e+01 2.36e+03 5.10e+04 0.9 2.10e+01 1.8 4.84e-01 7.97e-02f 1\n", - " 48r-1.0227161e+01 2.35e+03 3.87e+04 0.9 7.82e+00 2.2 5.88e-01 2.65e-01f 1\n", - " 49r-1.0243132e+01 2.35e+03 3.63e+04 0.9 2.40e+01 1.7 3.49e-01 6.11e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r-1.0258262e+01 2.35e+03 5.47e+04 0.9 1.75e+00 4.0 2.14e-01 1.35e-01f 1\n", - " 51r-1.0268386e+01 2.35e+03 4.61e+04 0.9 1.64e+00 3.5 4.90e-01 1.61e-01f 1\n", - " 52r-1.0308339e+01 2.35e+03 3.52e+04 0.9 1.88e+00 3.0 5.42e-01 5.41e-01f 1\n", - " 53r-1.0309445e+01 2.35e+03 3.74e+04 0.9 6.20e-01 5.2 2.05e-02 4.71e-02h 1\n", - " 54r-1.0309748e+01 2.35e+03 3.70e+04 0.9 6.88e-01 4.8 1.55e-01 7.48e-03f 5\n", - " 55r-1.0314288e+01 2.35e+03 3.31e+05 0.9 6.74e-01 5.2 5.54e-02 1.72e-01h 1\n", - " 56r-1.0315012e+01 2.35e+03 3.24e+05 0.9 6.10e-01 4.7 1.62e-01 2.27e-02f 3\n", - " 57r-1.0316454e+01 2.35e+03 2.98e+05 0.9 5.81e-01 5.1 2.31e-01 5.26e-02h 3\n", - " 58r-1.0316729e+01 2.35e+03 2.96e+05 0.9 5.83e-01 4.7 1.19e-01 9.06e-03h 5\n", - " 59r-1.0318011e+01 2.35e+03 2.79e+05 0.9 5.63e-01 5.1 3.18e-01 4.76e-02h 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r-1.0318428e+01 2.35e+03 2.75e+05 0.9 5.69e-01 4.6 1.70e-01 1.40e-02h 6\n", - " 61r-1.0321683e+01 2.35e+03 2.72e+05 0.9 5.45e-01 5.0 1.00e+00 1.24e-01h 4\n", - " 62r-1.0322870e+01 2.35e+03 2.58e+05 0.9 5.22e-01 4.6 4.76e-01 4.29e-02f 3\n", - " 63r-1.0346837e+01 2.35e+03 2.33e+06 0.9 5.56e-01 4.1 2.50e-01 7.13e-01f 1\n", - " 64r-1.0346639e+01 2.35e+03 3.10e+06 0.9 2.33e-02 7.2 3.60e-01 1.00e+00f 1\n", - " 65r-1.0346679e+01 2.35e+03 2.90e+06 0.9 3.92e-02 6.7 9.67e-01 5.12e-02h 1\n", - " 66r-1.0347479e+01 2.35e+03 2.38e+06 0.9 7.81e-02 6.3 9.44e-01 2.38e-01h 2\n", - " 67r-1.0353206e+01 2.35e+03 2.99e+06 0.9 2.82e-01 5.8 8.34e-01 4.21e-01h 1\n", - " 68r-1.0358749e+01 2.35e+03 3.44e+06 0.9 2.54e-01 5.3 7.34e-01 3.30e-01H 1\n", - " 69r-1.0360547e+01 2.35e+03 2.91e+06 0.9 2.35e-01 4.8 1.00e+00 1.34e-01f 3\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r-1.0367527e+01 2.35e+03 5.44e+05 0.9 2.14e-01 4.4 1.00e+00 4.82e-01f 1\n", - " 71r-1.0381577e+01 2.35e+03 1.81e+06 0.9 1.90e-01 3.9 7.79e-01 9.32e-01f 1\n", - "Reallocating memory for MA57: lfact (330034)\n", - " 72r-1.0381474e+01 2.35e+03 1.90e+06 0.9 1.10e-02 7.9 4.38e-02 1.00e+00f 1\n", - " 73r-1.0381521e+01 2.35e+03 1.48e+06 0.9 2.04e-02 7.4 6.39e-01 1.79e-01h 1\n", - " 74r-1.0381650e+01 2.35e+03 1.18e+06 0.9 1.17e-01 7.0 4.36e-01 2.45e-02h 1\n", - " 75r-1.0382956e+01 2.35e+03 2.40e+06 0.9 3.88e-01 6.5 4.12e-01 7.43e-02h 1\n", - " 76r-1.0388059e+01 2.35e+03 4.60e+06 0.9 4.47e-01 6.0 1.00e+00 2.23e-01h 1\n", - " 77r-1.0388387e+01 2.35e+03 4.52e+06 0.9 5.03e-01 5.5 3.15e-01 1.15e-02h 5\n", - " 78r-1.0389013e+01 2.35e+03 4.41e+06 0.9 5.29e-01 5.1 1.26e-01 1.91e-02h 6\n", - " 79r-1.0393566e+01 2.35e+03 4.44e+06 0.9 1.06e+00 4.6 2.06e-01 1.25e-01h 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r-1.0403193e+01 2.35e+03 3.17e+06 0.9 1.58e+00 4.1 1.17e-01 2.50e-01h 3\n", - " 81r-1.0434941e+01 2.35e+03 1.50e+06 0.9 1.66e+00 3.6 9.93e-01 6.77e-01f 1\n", - " 82r-1.0434941e+01 2.35e+03 1.49e+06 0.9 2.32e-02 7.7 8.34e-01 5.15e-03h 1\n", - "Reallocating memory for MA57: lfact (440200)\n", - " 83r-1.0434858e+01 2.35e+03 2.17e+07 0.9 1.60e-02 8.1 8.91e-01 1.51e-01h 1\n", - " 84r-1.0434925e+01 2.35e+03 4.10e+06 0.9 2.32e-02 7.6 4.81e-01 2.43e-01h 2\n", - " 85r-1.0435199e+01 2.35e+03 3.69e+06 0.9 2.22e-01 7.1 6.26e-02 2.14e-02h 2\n", - " 86r-1.0435354e+01 2.35e+03 3.54e+06 0.9 2.25e-01 6.7 2.36e-01 1.23e-02h 4\n", - " 87r-1.0435413e+01 2.35e+03 3.51e+06 0.9 2.17e-01 6.2 1.20e-01 4.21e-03h 6\n", - " 88r-1.0435478e+01 2.35e+03 3.48e+06 0.9 2.32e-01 5.7 2.54e-01 4.24e-03h 7\n", - " 89r-1.0435603e+01 2.35e+03 3.46e+06 0.9 4.05e-01 5.2 2.95e-01 6.49e-03h 7\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r-1.0435792e+01 2.35e+03 3.43e+06 0.9 6.54e-01 4.8 3.44e-01 1.26e-02h 7\n", - " 91r-1.0444227e+01 2.35e+03 2.59e+07 0.9 8.40e-01 4.3 9.79e-01 1.00e+00f 1\n", - "Reallocating memory for MA57: lfact (834872)\n", - "Reallocating memory for MA57: lfact (930668)\n", - "Reallocating memory for MA57: lfact (1174736)\n", - " 92r-1.0443676e+01 2.35e+03 9.96e+06 0.9 1.21e-02 9.2 7.26e-01 1.00e+00f 1\n", - "Reallocating memory for MA57: lfact (1424712)\n", - " 93r-1.0443685e+01 2.35e+03 4.84e+06 0.9 6.40e-03 8.7 1.00e+00 1.00e+00f 1\n", - " 94r-1.0443725e+01 2.35e+03 5.90e+06 0.9 3.65e-03 8.3 1.00e+00 1.77e-01h 1\n", - " 95r-1.0444044e+01 2.35e+03 3.35e+07 0.9 1.28e-02 7.8 1.00e+00 3.40e-01h 1\n", - " 96r-1.0444396e+01 2.35e+03 2.25e+07 0.9 2.61e-02 7.3 1.00e+00 1.50e-01h 2\n", - " 97r-1.0445675e+01 2.35e+03 2.31e+07 0.9 1.19e-01 6.8 7.33e-01 1.49e-01h 2\n", - " 98r-1.0454761e+01 2.35e+03 1.07e+08 0.9 3.14e-01 6.4 1.51e-02 5.59e-01h 1\n", - " 99r-1.0454768e+01 2.35e+03 6.73e+07 0.9 1.16e-02 9.5 4.71e-01 1.55e-01h 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r-1.0454793e+01 2.35e+03 6.14e+07 0.9 8.69e-02 9.0 7.57e-03 4.78e-03h 3\n", - " 101r-1.0454970e+01 2.35e+03 5.19e+07 0.9 3.75e-01 8.5 6.19e-03 8.31e-03h 2\n", - " 102r-1.0455666e+01 2.35e+03 6.88e+07 0.9 4.65e-01 8.1 9.31e-03 2.69e-02h 1\n", - " 103r-1.0462657e+01 2.35e+03 3.01e+08 0.9 4.68e-01 7.6 4.22e-02 2.69e-01h 1\n", - "Reallocating memory for MA57: lfact (1556396)\n", - " 104r-1.0462700e+01 2.35e+03 3.01e+08 0.9 3.58e-01 8.9 3.96e-02 2.07e-03h 1\n", - " 105r-1.0462705e+01 2.35e+03 3.01e+08 0.9 3.60e-01 9.3 8.53e-04 2.40e-04h 1\n", - " 106r-1.0463767e+01 2.35e+03 3.72e+08 0.9 3.59e-01 8.9 3.88e-02 5.00e-02f 1\n", - " 107r-1.0465681e+01 2.35e+03 3.26e+08 0.9 3.38e-01 8.4 3.36e-03 9.49e-02h 1\n", - " 108r-1.0467279e+01 2.35e+03 2.99e+08 0.9 3.08e-01 7.9 9.84e-02 8.59e-02h 1\n", - " 109r-1.0484548e+01 2.35e+03 4.36e+08 0.9 2.88e-01 7.4 1.15e-01 9.53e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r-1.0485465e+01 2.35e+03 1.15e+07 0.9 1.50e-02 7.9 1.00e+00 1.00e+00f 1\n", - " 111r-1.0485390e+01 2.35e+03 2.47e+04 0.9 7.92e-04 7.4 9.92e-01 1.00e+00f 1\n", - " 112r-1.0485487e+01 2.35e+03 1.51e+04 0.9 1.90e-03 6.9 1.00e+00 1.00e+00f 1\n", - " 113r-1.0485571e+01 2.35e+03 2.52e+03 0.9 9.49e-04 6.4 1.00e+00 1.00e+00f 1\n", - " 114r-1.0485988e+01 2.35e+03 1.39e+03 0.9 1.57e-03 5.9 1.00e+00 1.00e+00f 1\n", - " 115r-1.0486981e+01 2.35e+03 1.24e+03 0.9 4.19e-03 5.5 1.00e+00 1.00e+00f 1\n", - " 116r-1.0488778e+01 2.35e+03 3.20e+03 0.9 1.22e-02 5.0 1.00e+00 1.00e+00f 1\n", - " 117r-1.0489011e+01 2.35e+03 1.52e+04 0.9 3.81e-02 4.5 1.00e+00 1.00e+00f 1\n", - " 118r-1.0487999e+01 2.35e+03 4.80e+03 0.9 1.46e-02 4.9 1.00e+00 1.00e+00f 1\n", - " 119r-1.0484721e+01 2.35e+03 1.62e+04 0.9 4.40e-02 4.5 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r-1.0476870e+01 2.35e+03 4.42e+04 0.9 1.33e-01 4.0 1.00e+00 5.88e-01f 1\n", - " 121r-1.0476722e+01 2.35e+03 3.09e+05 0.9 7.11e-03 6.2 1.00e+00 1.00e+00f 1\n", - " 122r-1.0476640e+01 2.35e+03 1.97e+04 0.9 3.39e-03 5.7 1.00e+00 1.00e+00f 1\n", - " 123r-1.0477140e+01 2.35e+03 1.27e+05 0.9 2.43e-02 5.3 1.00e+00 5.44e-01f 1\n", - " 124r-1.0477216e+01 2.35e+03 1.23e+05 0.9 1.05e-02 6.6 1.00e+00 1.83e-01f 3\n", - " 125r-1.0478057e+01 2.35e+03 4.95e+05 0.9 2.51e-02 6.1 1.00e+00 5.59e-01h 1\n", - " 126r-1.0478429e+01 2.35e+03 1.91e+05 0.9 3.11e-02 5.6 9.88e-01 5.00e-01f 2\n", - " 127r-1.0478790e+01 2.35e+03 8.44e+04 0.9 3.18e-02 5.2 1.00e+00 1.00e+00f 1\n", - " 128r-1.0478823e+01 2.35e+03 3.13e+06 0.9 9.67e-04 8.3 1.00e+00 7.07e-01h 1\n", - " 129r-1.0478864e+01 2.35e+03 1.88e+06 0.9 2.58e-03 7.8 1.00e+00 3.96e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r-1.0478978e+01 2.35e+03 7.00e+05 0.9 5.34e-03 7.3 1.00e+00 6.12e-01h 1\n", - " 131r-1.0479104e+01 2.35e+03 5.43e+05 0.9 4.40e-03 6.9 7.52e-01 1.00e+00f 1\n", - " 132r-1.0479111e+01 2.35e+03 9.28e+05 0.9 2.71e-04 9.1 1.00e+00 1.00e+00h 1\n", - " 133r-1.0479132e+01 2.35e+03 2.96e+05 0.9 7.68e-04 8.6 1.00e+00 7.21e-01h 1\n", - " 134r-1.0479189e+01 2.35e+03 3.28e+06 0.9 1.49e-03 8.1 1.00e+00 6.03e-01F 1\n", - " 135r-1.0479195e+01 2.35e+03 1.12e+06 0.9 2.18e-04 9.5 1.00e+00 1.00e+00f 1\n", - " 136r-1.0479228e+01 2.35e+03 7.71e+06 0.9 9.73e-04 9.0 1.00e+00 6.93e-01h 1\n", - " 137r-1.0479237e+01 2.35e+03 5.80e+06 0.9 1.11e-03 8.5 1.00e+00 2.50e-01f 3\n", - " 138r-1.0479270e+01 2.35e+03 4.17e+06 0.9 5.13e-04 8.9 1.00e+00 1.00e+00f 1\n", - " 139r-1.0479291e+01 2.35e+03 5.01e+05 0.9 8.00e-04 8.5 1.00e+00 1.00e+00F 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r-1.0479296e+01 2.35e+03 1.91e+05 0.9 2.21e-04 8.0 1.00e+00 1.00e+00f 1\n", - " 141r-1.0479303e+01 2.35e+03 1.91e+04 0.9 5.43e-04 7.5 1.00e+00 1.00e+00f 1\n", - " 142r-1.0479300e+01 2.35e+03 2.90e+03 0.9 2.67e-04 7.0 1.00e+00 1.00e+00f 1\n", - " 143r-1.0479291e+01 2.35e+03 2.98e+03 0.9 8.20e-04 6.6 1.00e+00 1.00e+00f 1\n", - " 144r-1.0479236e+01 2.35e+03 1.97e+03 0.9 1.07e-03 6.1 1.00e+00 1.00e+00f 1\n", - " 145r-1.0479031e+01 2.35e+03 1.40e+04 0.9 3.21e-03 5.6 1.00e+00 1.00e+00f 1\n", - " 146r-1.0479025e+01 2.35e+03 5.33e+03 0.9 1.52e-03 6.9 1.00e+00 1.00e+00f 1\n", - " 147r-1.0479005e+01 2.35e+03 3.02e+03 0.9 7.39e-04 6.5 1.00e+00 1.00e+00f 1\n", - " 148r-1.0478925e+01 2.35e+03 1.30e+03 0.9 1.36e-03 6.0 1.00e+00 1.00e+00f 1\n", - " 149r-1.0478638e+01 2.35e+03 1.30e+03 0.9 4.08e-03 5.5 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150r-1.0478656e+01 2.35e+03 1.25e+04 0.9 7.74e-04 6.8 1.00e+00 1.00e+00f 1\n", - " 151r-1.0478628e+01 2.35e+03 1.29e+03 0.9 5.71e-04 6.4 1.00e+00 1.00e+00f 1\n", - " 152r-1.0478529e+01 2.35e+03 1.29e+03 0.9 1.71e-03 5.9 1.00e+00 1.00e+00f 1\n", - " 153r-1.0478496e+01 2.35e+03 1.29e+03 0.9 6.41e-04 6.3 1.00e+00 1.00e+00f 1\n", - " 154r-1.0478386e+01 2.35e+03 1.29e+03 0.9 1.92e-03 5.8 1.00e+00 1.00e+00f 1\n", - " 155r-1.0478004e+01 2.35e+03 1.46e+03 0.9 5.78e-03 5.3 1.00e+00 1.00e+00f 1\n", - " 156r-1.0476675e+01 2.35e+03 5.77e+03 0.9 1.74e-02 4.9 1.00e+00 1.00e+00f 1\n", - " 157r-1.0476162e+01 2.35e+03 1.30e+03 0.9 6.52e-03 5.3 1.00e+00 1.00e+00f 1\n", - " 158r-1.0474596e+01 2.35e+03 5.20e+03 0.9 1.95e-02 4.8 1.00e+00 1.00e+00f 1\n", - " 159r-1.0474124e+01 2.35e+03 1.46e+04 0.9 7.26e-03 5.2 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r-1.0473931e+01 2.35e+03 1.64e+03 0.9 2.73e-03 5.7 1.00e+00 1.00e+00f 1\n", - " 161r-1.0473353e+01 2.35e+03 2.43e+03 0.9 8.19e-03 5.2 1.00e+00 1.00e+00f 1\n", - " 162r-1.0471520e+01 2.35e+03 1.29e+03 0.9 2.46e-02 4.7 1.00e+00 1.00e+00f 1\n", - " 163r-1.0466087e+01 2.35e+03 1.29e+03 0.9 7.40e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 164r-1.0455271e+01 2.35e+03 1.29e+03 0.9 2.22e-01 3.8 1.00e+00 7.45e-01f 1\n", - " 165r-1.0414681e+01 2.35e+03 2.41e+03 0.9 6.77e-01 3.3 1.00e+00 8.08e-01f 1\n", - " 166r-1.0412550e+01 2.35e+03 2.55e+03 0.9 2.01e+00 2.8 8.59e-01 4.12e-01f 1\n", - " 167r-1.0423391e+01 2.35e+03 4.15e+03 0.9 6.08e+00 2.3 4.85e-01 1.46e-01f 1\n", - " 168r-1.0437289e+01 2.35e+03 3.08e+03 0.9 2.25e+00 2.8 1.00e+00 2.66e-01f 1\n", - " 169r-1.0478317e+01 2.35e+03 2.98e+03 0.9 6.48e+00 2.3 6.44e-01 1.35e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r-1.0572375e+01 2.35e+03 3.02e+03 0.9 2.39e+00 2.7 1.00e+00 4.35e-01f 1\n", - " 171r-1.0602775e+01 2.35e+03 2.98e+03 0.9 7.26e+00 2.2 4.92e-01 1.10e-01f 1\n", - " 172r-1.0725643e+01 2.34e+03 8.15e+03 0.9 2.72e+00 2.7 1.00e+00 8.59e-01f 1\n", - " 173r-1.0755948e+01 2.34e+03 2.72e+03 0.9 1.02e+00 3.1 6.58e-01 7.11e-01f 1\n", - " 174r-1.0777640e+01 2.34e+03 2.28e+03 0.9 3.08e+00 2.6 6.80e-01 3.00e-01f 1\n", - " 175r-1.0834608e+01 2.34e+03 7.67e+03 0.9 9.22e+00 2.1 5.68e-01 3.15e-01f 1\n", - " 176r-1.0860736e+01 2.34e+03 4.37e+03 0.9 3.45e+00 2.6 4.39e-01 2.96e-01f 1\n", - " 177r-1.0930124e+01 2.34e+03 2.22e+03 0.9 1.23e+00 3.0 1.00e+00 5.08e-01f 1\n", - " 178r-1.0983506e+01 2.34e+03 2.18e+03 0.9 3.68e+00 2.5 8.59e-01 2.27e-01f 1\n", - " 179r-1.1092593e+01 2.34e+03 1.59e+03 0.9 1.38e+00 2.9 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r-1.1127190e+01 2.34e+03 1.18e+03 0.9 5.18e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 181r-1.1198922e+01 2.34e+03 1.50e+03 0.9 1.55e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 182r-1.1221462e+01 2.34e+03 1.18e+03 0.9 5.83e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 183r-1.1274432e+01 2.33e+03 1.62e+03 0.9 1.75e+00 2.8 1.00e+00 1.00e+00f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 184r-1.1291428e+01 2.33e+03 1.18e+03 0.9 6.55e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 185r-1.1336775e+01 2.33e+03 1.55e+03 0.9 1.96e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 186r-1.1351554e+01 2.33e+03 1.17e+03 0.9 7.37e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 187r-1.1395199e+01 2.33e+03 1.31e+03 0.9 2.21e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 188r-1.1409545e+01 2.33e+03 1.17e+03 0.9 8.28e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 189r-1.1454604e+01 2.33e+03 1.60e+03 0.9 2.48e+00 2.7 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190r-1.1469483e+01 2.33e+03 1.17e+03 0.9 9.31e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 191r-1.1506626e+01 2.32e+03 1.17e+03 0.9 2.79e+00 2.6 1.00e+00 7.69e-01f 1\n", - " 192r-1.1570982e+01 2.32e+03 2.29e+03 0.9 8.34e+00 2.1 6.19e-01 4.59e-01f 1\n", - " 193r-1.1612090e+01 2.32e+03 1.17e+03 0.9 3.13e+00 2.6 1.00e+00 8.17e-01f 1\n", - " 194r-1.1623273e+01 2.32e+03 1.17e+03 0.9 9.26e+00 2.1 9.94e-01 4.77e-02f 1\n", - " 195r-1.2061835e+01 2.32e+03 3.29e+03 0.9 3.22e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 196r-1.2182768e+01 2.31e+03 1.09e+03 0.9 1.23e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 197r-1.2270040e+01 2.31e+03 1.08e+03 0.9 3.65e+00 2.5 1.00e+00 3.51e-01f 1\n", - " 198r-1.2702719e+01 2.31e+03 6.56e+03 0.9 1.08e+01 2.0 6.60e-01 7.01e-01f 1\n", - " 199r-1.2723100e+01 2.31e+03 2.85e+03 0.9 4.14e+00 2.4 1.00e+00 4.99e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200r-1.2714084e+01 2.30e+03 1.09e+03 0.9 1.57e+00 2.8 1.00e+00 6.06e-01f 1\n", - " 201r-1.2825997e+01 2.30e+03 1.07e+03 0.9 4.64e+00 2.4 1.00e+00 9.09e-02f 1\n", - " 202r-1.3653853e+01 2.30e+03 6.28e+03 0.9 1.40e+01 1.9 1.00e+00 3.78e-01f 1\n", - " 203r-1.3705091e+01 2.30e+03 6.08e+03 0.9 5.16e+00 2.3 1.00e+00 3.19e-02f 1\n", - " 204r-1.4251568e+01 2.30e+03 1.06e+03 0.9 1.91e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 205r-1.6118940e+01 2.29e+03 6.18e+03 0.9 5.75e+00 2.3 6.31e-01 1.00e+00f 1\n", - " 206r-1.6276861e+01 2.29e+03 1.01e+03 0.9 2.06e+00 2.7 6.82e-01 1.00e+00f 1\n", - " 207r-1.6396668e+01 2.29e+03 1.01e+03 0.9 6.30e+00 2.2 9.53e-01 1.25e-01f 1\n", - " 208r-1.7499706e+01 2.28e+03 7.33e+03 0.9 1.88e+01 1.7 6.88e-01 4.06e-01f 1\n", - " 209r-1.7484787e+01 2.28e+03 6.52e+03 0.9 8.92e-01 3.1 1.00e+00 1.10e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 210r-1.7317503e+01 2.28e+03 1.46e+03 0.9 3.61e-01 3.5 1.00e+00 1.00e+00f 1\n", - " 211r-1.7338736e+01 2.28e+03 1.44e+03 0.9 9.70e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 212r-1.7414461e+01 2.28e+03 1.00e+03 0.9 2.91e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 213r-1.7430149e+01 2.27e+03 1.00e+03 0.9 1.09e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 214r-1.7491821e+01 2.27e+03 1.00e+03 0.9 3.27e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 215r-1.7497688e+01 2.27e+03 1.00e+03 0.9 1.22e+00 2.9 1.00e+00 5.80e-01f 1\n", - " 216r-1.7782718e+01 2.27e+03 1.02e+03 0.9 3.74e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 217r-1.7835230e+01 2.27e+03 1.01e+03 0.9 1.39e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 218r-1.8049822e+01 2.26e+03 1.01e+03 0.9 4.17e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 219r-1.8085939e+01 2.26e+03 1.00e+03 0.9 1.55e+00 2.8 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 220r-1.8243584e+01 2.26e+03 1.01e+03 0.9 4.68e+00 2.3 1.00e+00 1.00e+00f 1\n", - " 221r-1.8255170e+01 2.25e+03 1.00e+03 0.9 1.74e+00 2.8 1.00e+00 5.39e-01f 1\n", - " 222r-1.8263324e+01 2.25e+03 1.00e+03 0.9 5.25e+00 2.3 1.00e+00 5.86e-02f 1\n", - " 223r-1.8308706e+01 2.25e+03 1.00e+03 0.9 1.97e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 224r-1.8456513e+01 2.25e+03 1.50e+03 0.9 5.91e+00 2.2 1.00e+00 1.00e+00f 1\n", - " 225r-1.8484621e+01 2.24e+03 1.00e+03 0.9 2.21e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 226r-1.8528613e+01 2.24e+03 1.00e+03 0.9 6.63e+00 2.2 1.00e+00 3.77e-01f 1\n", - " 227r-1.8523664e+01 2.24e+03 1.00e+03 0.9 1.99e+01 1.7 1.00e+00 1.29e-02f 1\n", - " 228r-1.8333088e+01 2.23e+03 2.13e+03 0.9 7.49e+00 2.1 1.00e+00 1.00e+00f 1\n", - " 229r-1.8298300e+01 2.23e+03 1.02e+03 0.9 3.57e-01 3.5 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 230r-1.8262583e+01 2.23e+03 1.01e+03 0.9 1.06e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 231r-1.8148252e+01 2.23e+03 1.01e+03 0.9 3.17e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 232r-1.7722350e+01 2.22e+03 2.48e+03 0.9 9.53e+00 2.0 1.00e+00 1.00e+00f 1\n", - " 233r-1.7605271e+01 2.22e+03 1.06e+03 0.9 4.68e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 234r-1.7503878e+01 2.22e+03 1.31e+03 0.9 1.35e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 235r-1.7158355e+01 2.21e+03 1.02e+03 0.9 4.06e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 236r-1.5423604e+01 2.20e+03 3.70e+03 0.9 1.24e+01 1.9 1.00e+00 1.00e+00f 1\n", - " 237r-1.1966623e+01 2.20e+03 1.12e+03 0.9 5.02e+00 2.3 1.00e+00 1.00e+00f 1\n", - " 238r-1.2430280e+01 2.19e+03 1.19e+03 0.9 1.48e+01 1.9 1.00e+00 4.37e-01f 1\n", - " 239r-1.2441112e+01 2.19e+03 1.16e+03 0.9 5.47e+00 2.3 1.00e+00 3.13e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 240r-1.3011083e+01 2.18e+03 2.10e+04 0.9 1.60e+01 1.8 1.00e+00 1.00e+00f 1\n", - " 241r-1.3029229e+01 2.18e+03 3.03e+03 0.9 7.63e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 242r-1.3144362e+01 2.17e+03 2.44e+03 0.9 2.25e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 243r-1.3278493e+01 2.17e+03 1.06e+03 0.9 6.76e+00 2.2 1.00e+00 1.00e+00f 1\n", - " 244r-1.3350918e+01 2.16e+03 1.70e+03 0.9 2.02e+01 1.7 1.00e+00 6.52e-01f 1\n", - " 245r-1.3351414e+01 2.16e+03 1.66e+03 0.9 7.59e+00 2.1 1.00e+00 2.28e-02f 1\n", - " 246r-1.3350493e+01 2.16e+03 1.33e+03 0.9 2.85e+00 2.6 1.00e+00 1.82e-01f 1\n", - " 247r-1.3355091e+01 2.15e+03 1.12e+03 0.9 8.54e+00 2.1 1.00e+00 1.54e-01f 1\n", - " 248r-1.3364488e+01 2.15e+03 1.09e+03 0.9 2.55e+01 1.6 1.00e+00 1.01e-01f 1\n", - " 249r-1.3371238e+01 2.15e+03 1.06e+03 0.9 9.60e+00 2.0 1.00e+00 2.08e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 250r-1.3384009e+01 2.15e+03 1.06e+03 0.9 2.87e+01 1.6 1.00e+00 1.28e-01f 1\n", - " 251r-1.3391276e+01 2.14e+03 1.06e+03 0.9 1.08e+01 2.0 1.00e+00 2.18e-01f 1\n", - " 252r-1.3405333e+01 2.14e+03 1.06e+03 0.9 3.22e+01 1.5 9.44e-01 1.30e-01f 1\n", - " 253r-1.3412846e+01 2.14e+03 1.06e+03 0.9 1.21e+01 1.9 1.00e+00 2.13e-01f 1\n", - " 254r-1.3428662e+01 2.13e+03 1.06e+03 0.9 3.62e+01 1.5 8.89e-01 1.27e-01f 1\n", - " 255r-1.3438361e+01 2.13e+03 1.06e+03 0.9 1.36e+01 1.9 1.00e+00 2.06e-01f 1\n", - " 256r-1.3467133e+01 2.13e+03 1.05e+03 0.9 4.04e+01 1.4 9.34e-01 1.28e-01f 1\n", - " 257r-1.3561423e+01 2.12e+03 1.05e+03 0.9 1.48e+01 1.8 1.00e+00 1.86e-01f 1\n", - " 258r-1.4315528e+01 2.12e+03 1.65e+03 0.9 4.57e+01 1.4 3.55e-01 1.51e-01f 1\n", - " 259r-1.4627321e+01 2.12e+03 1.36e+03 0.9 2.11e+00 2.7 1.00e+00 1.75e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 260r-1.7448124e+01 2.11e+03 2.46e+03 0.9 6.33e+00 2.2 3.07e-01 1.00e+00f 1\n", - " 261r-1.7448278e+01 2.11e+03 1.00e+03 0.9 2.30e+00 2.6 1.00e+00 9.67e-01f 1\n", - " 262r-1.7527065e+01 2.11e+03 1.00e+03 0.9 6.94e+00 2.2 1.00e+00 5.69e-02f 1\n", - " 263r-1.7928108e+01 2.10e+03 1.00e+03 0.9 2.08e+01 1.7 1.00e+00 1.05e-01f 1\n", - " 264r-1.9508375e+01 2.09e+03 2.29e+03 0.9 6.25e+01 1.2 2.55e-01 2.28e-01f 1\n", - " 265r-1.9495549e+01 2.09e+03 2.14e+03 0.9 2.95e+00 2.5 1.00e+00 6.25e-02f 1\n", - " 266r-1.9496873e+01 2.08e+03 1.00e+03 0.9 8.72e+00 2.1 1.00e+00 7.87e-01f 1\n", - " 267r-1.9504830e+01 2.08e+03 1.00e+03 0.9 2.62e+01 1.6 1.00e+00 1.01e-02f 1\n", - " 268r-1.9739388e+01 2.07e+03 3.54e+03 0.9 9.82e+00 2.0 1.00e+00 1.00e+00f 1\n", - " 269r-1.9738744e+01 2.07e+03 3.92e+03 0.9 4.60e-01 3.3 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 270r-1.9773303e+01 2.07e+03 1.00e+03 0.9 1.38e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 271r-1.9871766e+01 2.07e+03 1.00e+03 0.9 4.14e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 272r-2.0131046e+01 2.06e+03 2.42e+03 0.9 1.24e+01 1.9 1.00e+00 1.00e+00f 1\n", - " 273r-2.0166977e+01 2.05e+03 1.11e+03 0.9 4.66e+00 2.3 1.00e+00 5.49e-01f 1\n", - " 274r-2.0191262e+01 2.05e+03 1.01e+03 0.9 1.40e+01 1.9 1.00e+00 1.06e-01f 1\n", - " 275r-2.0542882e+01 2.03e+03 9.58e+03 0.9 4.19e+01 1.4 1.00e+00 5.47e-01f 1\n", - " 276r-2.0515582e+01 2.03e+03 1.82e+04 0.9 2.51e-01 3.6 9.48e-01 1.00e+00f 1\n", - " 277r-1.9415646e+01 5.51e+02 1.81e+04 0.9 6.03e+06 - 4.51e-04 3.33e-04f 1\n", - " 278r-1.9386624e+01 5.54e+02 1.81e+04 0.9 1.29e+06 - 3.42e-03 1.56e-05f 1\n", - " 279r-1.9471143e+01 5.45e+02 1.80e+04 0.9 6.22e+03 - 2.71e-02 1.45e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 280r-2.0746408e+01 4.61e+02 9.44e+04 0.9 7.14e+03 - 1.38e-02 4.56e-02f 1\n", - " 281r-2.0564254e+01 4.10e+02 8.33e+04 0.9 9.92e+00 4.0 1.11e-01 1.13e-01h 1\n", - " 282r-1.8690639e+01 2.35e+02 5.18e+04 0.9 9.25e+00 3.6 5.73e-02 1.00e+00h 1\n", - " 283r-1.8698611e+01 2.32e+02 5.11e+04 0.9 3.43e+03 - 1.20e-03 1.02e-03f 1\n", - " 284r-1.8673273e+01 2.31e+02 4.84e+04 0.9 3.19e+00 3.1 3.23e-01 3.64e-02h 1\n", - " 285r-1.8700393e+01 2.18e+02 4.45e+04 0.9 2.33e+03 - 1.71e-02 6.26e-03f 1\n", - " 286r-1.8474414e+01 2.13e+02 1.03e+05 0.9 3.00e+00 2.6 8.53e-01 3.33e-01f 1\n", - " 287r-1.8403999e+01 2.13e+02 7.99e+04 0.9 2.28e+00 3.0 3.60e-01 1.31e-01f 1\n", - " 288r-1.8319641e+01 2.13e+02 5.15e+04 0.9 3.07e+00 2.6 3.02e-01 1.72e-01f 1\n", - " 289r-1.8244433e+01 2.12e+02 5.80e+04 0.9 2.41e+00 3.0 1.16e-01 1.78e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 290r-1.8215228e+01 2.12e+02 4.88e+04 0.9 1.82e+00 3.4 6.34e-02 8.20e-02h 3\n", - " 291r-1.8144417e+01 2.10e+02 2.79e+05 0.9 1.72e+00 3.8 3.94e-02 2.11e-01h 1\n", - " 292r-1.8138626e+01 2.10e+02 2.69e+05 0.9 1.35e+00 4.3 9.06e-02 2.17e-02h 4\n", - " 293r-1.8123118e+01 2.10e+02 2.37e+05 0.9 1.79e+00 3.8 1.21e-01 5.86e-02h 3\n", - " 294r-1.8066496e+01 2.08e+02 1.59e+05 0.9 2.62e+00 3.3 5.45e-01 2.28e-01h 1\n", - " 295r-1.8063409e+01 2.08e+02 1.57e+05 0.9 1.52e+00 3.7 1.67e-01 1.54e-02h 4\n", - " 296r-1.8059299e+01 2.08e+02 1.52e+05 0.9 1.42e+00 4.2 1.62e-01 2.11e-02h 4\n", - " 297r-1.8057396e+01 2.08e+02 1.51e+05 0.9 1.62e+00 3.7 1.25e-01 9.90e-03h 5\n", - " 298r-1.8052741e+01 2.08e+02 1.47e+05 0.9 1.56e+00 4.1 1.85e-01 2.49e-02h 4\n", - " 299r-1.8043665e+01 2.08e+02 1.40e+05 0.9 1.93e+00 3.6 1.95e-01 5.01e-02h 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 300r-1.8025193e+01 2.08e+02 1.10e+05 0.9 2.66e+00 3.1 6.61e-01 1.17e-01h 1\n", - " 301r-1.8016731e+01 2.07e+02 9.54e+04 0.9 3.52e+00 2.7 2.82e-01 8.37e-02h 3\n", - " 302r-1.8076444e+01 1.86e+02 9.49e+04 0.9 5.16e+03 - 1.38e-02 4.17e-03f 1\n", - " 303r-1.8334826e+01 9.31e+01 8.95e+04 0.9 5.68e+03 - 1.14e-01 2.15e-02f 1\n", - " 304r-1.8435647e+01 9.33e+01 8.85e+04 0.9 7.83e+03 - 9.03e-02 7.45e-03f 1\n", - " 305r-1.8419013e+01 7.59e+01 3.81e+04 0.9 4.57e+00 2.2 1.00e+00 2.26e-01f 1\n", - " 306r-1.8417242e+01 7.74e+01 3.79e+04 0.9 9.93e+02 - 3.31e-02 4.68e-03f 1\n", - " 307r-1.8416693e+01 7.57e+01 3.69e+04 0.9 4.35e+00 1.7 1.00e+00 2.28e-02f 1\n", - " 308r-1.8378129e+01 4.96e+01 3.49e+04 0.9 6.08e+00 1.2 1.00e+00 8.39e-01f 1\n", - " 309r-1.8377029e+01 4.94e+01 7.85e+04 0.9 1.14e-01 7.1 1.20e-01 5.03e-02h 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 310r-1.8372970e+01 4.18e+01 6.58e+04 0.9 2.06e+01 - 5.54e-01 1.64e-01f 1\n", - " 311r-1.8367085e+01 3.17e+01 4.86e+04 0.9 1.65e+01 - 3.40e-01 2.68e-01f 1\n", - " 312r-1.8363089e+01 2.53e+01 3.81e+04 0.9 1.06e+01 - 4.75e-01 2.20e-01f 1\n", - " 313r-1.8346395e+01 8.70e+00 3.66e+03 0.9 8.95e+00 - 4.05e-01 1.00e+00f 1\n", - " 314r-1.8346043e+01 1.07e+00 1.28e+04 0.9 3.51e-03 6.6 1.00e+00 1.00e+00h 1\n", - " 315r-1.8346044e+01 1.16e-01 8.52e+02 0.9 5.17e-04 6.1 1.00e+00 1.00e+00f 1\n", - " 316r-1.8346046e+01 1.16e-01 4.29e+02 0.9 9.57e-04 5.7 1.00e+00 1.00e+00f 1\n", - " 317r-1.8346056e+01 1.65e-01 5.66e+02 0.2 3.76e-03 5.2 1.00e+00 1.00e+00f 1\n", - " 318r-1.8346120e+01 8.14e-01 4.02e+02 0.2 7.76e-03 4.7 1.00e+00 8.68e-01f 1\n", - " 319r-1.8346285e+01 1.33e+00 4.15e+02 0.2 2.13e-02 4.2 1.00e+00 8.55e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 320r-1.8346558e+01 9.40e-01 2.28e+02 0.2 3.33e-02 3.7 1.00e+00 8.95e-01f 1\n", - " 321r-1.8347152e+01 1.18e+00 1.61e+02 0.2 6.51e-02 3.3 1.00e+00 9.96e-01f 1\n", - " 322r-1.8348178e+01 1.88e+00 1.59e+02 0.2 1.26e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 323r-1.8349791e+01 1.24e+00 1.64e+02 0.2 2.46e-01 2.3 1.00e+00 1.00e+00f 1\n", - " 324r-1.8351693e+01 3.09e+00 1.80e+02 0.2 4.79e-01 1.8 1.00e+00 1.00e+00f 1\n", - " 325r-1.7803977e+01 3.82e+00 1.76e+02 0.2 3.86e+01 - 2.49e-01 1.66e-01f 1\n", - " 326r-1.7013700e+01 5.27e+00 4.68e+02 0.2 3.56e+01 - 6.82e-01 1.86e-01f 1\n", - " 327r-1.6798197e+01 1.25e+00 9.19e+01 0.2 9.42e-01 1.4 1.00e+00 1.00e+00f 1\n", - " 328r-1.6549868e+01 4.03e+01 4.38e+02 -0.5 1.25e+01 - 1.08e-01 1.34e-01f 1\n", - " 329r-1.6538028e+01 3.49e+01 2.65e+02 -0.5 9.62e-02 2.7 6.22e-01 4.28e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 330r-1.6530306e+01 2.01e+01 3.75e+02 -0.5 1.35e-01 2.2 8.40e-01 5.43e-01f 1\n", - " 331r-1.6529920e+01 1.52e+01 7.17e+02 -0.5 3.85e-01 1.7 1.00e+00 2.86e-01f 1\n", - " 332r-1.6534910e+01 6.36e+00 2.86e+02 -0.5 1.01e+00 1.3 1.00e+00 6.79e-01f 1\n", - " 333r-1.6539565e+01 4.50e+00 4.74e+02 -0.5 2.44e+00 0.8 1.00e+00 3.11e-01f 1\n", - " 334r-1.6859397e+01 3.72e+00 6.73e+02 -0.5 1.75e+01 - 1.00e+00 1.77e-01f 1\n", - " 335r-1.6668131e+01 3.27e+00 4.68e+02 -0.5 1.66e+01 - 7.32e-01 1.73e-01f 1\n", - " 336r-1.6427053e+01 3.10e+00 6.15e+02 -0.5 2.31e+01 - 1.00e+00 2.40e-01f 1\n", - " 337r-1.6358124e+01 2.56e+00 5.52e+02 -0.5 3.27e+01 - 6.17e-01 1.89e-01f 1\n", - " 338r-1.6038198e+01 2.75e+00 4.65e+02 -0.5 3.25e+01 - 9.45e-01 3.35e-01f 1\n", - " 339r-1.5955134e+01 2.59e+00 5.18e+02 -0.5 3.31e+01 - 1.00e+00 7.89e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 340r-1.4026817e+01 8.46e+00 2.01e+02 -0.5 4.91e+00 - 1.00e+00 8.16e-01f 1\n", - " 341r-1.3958001e+01 2.55e+00 3.91e+02 -0.5 6.57e-01 0.3 3.37e-01 7.42e-01f 1\n", - " 342r-1.3960857e+01 1.24e+00 3.60e+02 -0.5 1.96e-01 1.6 9.40e-01 6.45e-01f 1\n", - " 343r-1.4002816e+01 2.73e+00 3.17e+02 -0.5 3.95e+00 - 1.37e-01 1.59e-01f 1\n", - " 344r-1.4023774e+01 7.39e-01 2.79e+02 -0.5 1.12e-01 1.2 1.00e+00 1.00e+00f 1\n", - " 345r-1.4383343e+01 8.27e-01 1.12e+03 -0.5 3.72e-01 0.7 1.00e+00 1.00e+00h 1\n", - " 346r-1.5745630e+01 5.00e+00 2.75e+02 -0.5 2.57e+00 0.2 9.36e-01 8.57e-01f 1\n", - " 347r-1.5628053e+01 9.16e-01 2.14e+02 -0.5 2.69e-01 1.5 1.00e+00 1.00e+00f 1\n", - " 348r-1.5625860e+01 1.82e-01 5.37e+01 -0.5 1.93e-02 2.0 1.00e+00 1.00e+00h 1\n", - " 349r-1.6084164e+01 1.86e+00 2.42e+02 -0.5 1.98e+00 - 8.18e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 350r-1.6554042e+01 2.12e+00 2.86e+01 -0.5 1.34e+00 - 1.00e+00 1.00e+00h 1\n", - " 351r-1.6427991e+01 1.26e+00 1.25e+01 -0.5 5.16e-01 - 1.00e+00 1.00e+00h 1\n", - " 352r-1.6429641e+01 3.73e-01 1.59e+02 -1.2 9.72e-01 - 1.00e+00 8.69e-01f 1\n", - " 353r-1.6350094e+01 3.48e-01 1.26e+03 -1.2 1.23e+01 - 7.58e-01 1.16e-01f 1\n", - " 354r-1.6173058e+01 7.34e-01 1.68e+03 -1.2 9.25e+00 - 1.00e+00 1.83e-01f 1\n", - " 355r-1.6000319e+01 1.30e+00 1.32e+03 -1.2 7.71e+00 - 1.00e+00 2.64e-01f 1\n", - " 356r-1.5787450e+01 1.99e+00 8.35e+02 -1.2 7.40e+00 - 1.00e+00 3.73e-01f 1\n", - " 357r-1.5332704e+01 4.57e+00 7.22e+01 -1.2 6.36e+00 - 1.00e+00 1.00e+00f 1\n", - " 358r-1.5290318e+01 1.57e-01 3.13e+00 -1.2 2.84e+00 - 1.00e+00 1.00e+00h 1\n", - " 359r-1.5584114e+01 4.37e-01 1.95e+02 -1.9 1.88e+00 - 9.10e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 360r-1.5259138e+01 1.57e+00 8.11e+01 -1.9 2.10e+01 - 3.56e-01 1.87e-01f 1\n", - " 361r-1.5243231e+01 2.03e-02 8.44e+00 -1.9 6.32e-02 1.5 1.00e+00 1.00e+00h 1\n", - " 362r-1.5245119e+01 5.57e-03 1.90e+00 -1.9 1.71e-02 1.0 1.00e+00 1.00e+00h 1\n", - " 363r-1.5112278e+01 6.09e-01 1.65e+02 -1.9 1.70e+01 - 6.86e-01 2.79e-01f 1\n", - " 364r-1.4906134e+01 2.09e+00 1.36e+02 -1.9 2.13e+01 - 1.00e+00 5.25e-01f 1\n", - " 365r-1.4898310e+01 1.78e+00 1.29e+02 -1.9 1.37e+01 - 1.00e+00 1.66e-01h 1\n", - " 366r-1.4643307e+01 1.21e+00 2.91e+01 -1.9 1.12e+01 - 1.00e+00 1.00e+00h 1\n", - " 367r-1.4641394e+01 5.36e-02 2.18e-01 -1.9 3.20e+00 - 1.00e+00 1.00e+00h 1\n", - " 368r-1.5050973e+01 5.12e-01 3.39e+02 -2.9 1.32e+00 - 6.39e-01 1.00e+00f 1\n", - " 369r-1.4436269e+01 2.33e+00 2.14e+02 -2.9 3.28e+01 - 3.60e-01 2.49e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 370r-1.4081335e+01 2.94e+00 1.85e+02 -2.9 2.17e+01 - 1.35e-01 1.38e-01f 1\n", - " 371r-1.4094379e+01 2.87e+00 5.90e+02 -2.9 6.75e-01 0.5 2.46e-01 2.55e-02h 1\n", - " 372r-1.4093236e+01 2.86e+00 3.34e+02 -2.9 1.89e+01 - 5.34e-01 2.31e-03h 1\n", - " 373r-1.3986240e+01 2.79e+00 3.10e+02 -2.9 1.77e+01 - 1.00e+00 1.28e-01f 1\n", - " 374r-1.3831680e+01 3.19e+00 2.59e+02 -2.9 1.40e+01 - 1.00e+00 2.04e-01h 1\n", - " 375r-1.3711147e+01 4.03e+00 2.77e+02 -2.9 8.65e+00 - 1.00e+00 1.78e-01h 1\n", - " 376r-1.2072513e+01 7.12e+01 1.27e+02 -2.9 1.10e+01 - 1.00e+00 9.98e-01h 1\n", - " 377r-1.2293309e+01 6.83e+01 1.21e+02 -2.9 9.92e+00 - 4.75e-01 4.52e-02h 1\n", - " 378r-1.3036278e+01 5.11e+01 9.82e+01 -2.9 5.09e+00 - 1.00e+00 3.39e-01h 1\n", - " 379r-1.3317436e+01 1.68e+01 3.97e+01 -2.9 2.53e+00 - 1.00e+00 7.35e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 380r-1.3241069e+01 3.10e-01 2.43e-02 -2.9 6.61e-01 - 1.00e+00 1.00e+00h 1\n", - " 381r-1.3230401e+01 1.25e-03 3.36e-05 -2.9 3.33e-02 - 1.00e+00 1.00e+00h 1\n", - " 382r-1.3236533e+01 7.25e-04 4.59e-01 -4.4 1.06e-01 - 1.00e+00 1.00e+00f 1\n", - " 383r-1.3236806e+01 6.51e-04 6.63e+02 -4.4 7.17e-02 - 1.00e+00 1.07e-01h 1\n", - " 384r-1.3237030e+01 4.12e-07 2.03e-02 -4.4 3.35e-03 - 1.00e+00 1.00e+00h 1\n", - " 385r-1.3237030e+01 1.48e-08 5.70e-10 -4.4 3.42e-06 - 1.00e+00 1.00e+00h 1\n", - " 386r-1.3237050e+01 5.81e-09 9.66e-02 -6.6 3.79e-04 - 1.00e+00 1.00e+00f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Number of Iterations....: 386\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -1.3237050371369904e+01 -1.3237050371369904e+01\n", - "Dual infeasibility......: 2.6687985155149363e-10 2.6687985155149363e-10\n", - "Constraint violation....: 5.8136038205702789e-09 5.8136038205702789e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 5.8136038205702789e-09 5.8136038205702789e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 571\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 571\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 388\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 386\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 4.903\n", - "Total CPU secs in NLP function evaluations = 0.526\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "FIM: [[ 34.82843309 8.984655 -93.24076113 -36.95321436]\n", - " [ 8.984655 34.72022839 -19.10068151 -169.3211828 ]\n", - " [ -93.24076113 -19.10068151 261.9835756 82.95162856]\n", - " [ -36.95321436 -169.3211828 82.95162856 876.13508114]]\n", - "Trace: 1207.6673182276875\n", - "Determinant: 560761.169565876\n", - "Condition number: 1016.6953775260088\n", - "Minimal eigen value: 0.9075873179593128\n", - "Eigen values: [9.22739831e+02 2.81642446e+02 9.07587318e-01 2.37745409e+00]\n", - "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", - " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", - " [-0.13533434 0.93253239 -0.26619814 0.20299388]\n", - " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", - "Model objective: 13.237050371369904\n", - "Objective(determinant) is: 560761.1696834561\n", - "Solution of CA0 : [5]\n", - "Solution of T : [500]\n", - "======problem solver output======\n", - "converged\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 25168\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 1931\n", - "\n", - "Reallocating memory for MA57: lfact (322524)\n", - "Total number of variables............................: 6416\n", - " variables with only lower bounds: 2316\n", - " variables with lower and upper bounds: 98\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6414\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.3237050e+01 4.38e-01 1.59e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (347535)\n", - " 1 -1.3250603e+01 3.62e-01 8.68e+00 -1.0 1.09e+01 - 9.59e-01 1.73e-01h 1\n", - " 2 -1.3263724e+01 1.76e-01 2.08e+01 -1.0 3.71e+01 - 5.88e-01 1.00e+00H 1\n", - " 3 -1.3300325e+01 2.76e+01 4.10e+02 -1.0 9.15e+01 - 3.84e-01 8.86e-01f 1\n", - " 4 -1.3249541e+01 1.75e+01 1.38e+02 -1.0 7.34e+01 - 5.85e-01 1.00e+00f 1\n", - " 5 -1.3249182e+01 5.54e+01 1.94e+02 -1.0 1.81e+02 - 4.67e-01 1.00e+00f 1\n", - " 6 -1.3182923e+01 2.26e+01 2.77e+01 -1.0 1.26e+02 - 6.17e-01 1.00e+00f 1\n", - " 7 -1.3144218e+01 5.70e+01 1.96e+01 -1.0 2.45e+02 - 6.06e-01 1.00e+00f 1\n", - " 8 -1.3075336e+01 1.41e+01 3.15e+01 -1.0 5.98e+01 - 6.42e-01 1.00e+00f 1\n", - " 9 -1.3102315e+01 6.31e+00 1.75e+01 -1.0 2.58e+01 - 8.16e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.3128189e+01 1.96e+00 5.94e-01 -1.0 6.77e+01 - 1.00e+00 1.00e+00h 1\n", - " 11 -1.3135808e+01 2.02e-02 8.59e-03 -1.0 5.94e+00 - 1.00e+00 1.00e+00h 1\n", - " 12 -1.3135967e+01 6.96e-05 8.73e-03 -2.5 2.77e-01 - 1.00e+00 1.00e+00h 1\n", - " 13 -1.3142004e+01 1.23e-01 1.74e-01 -3.8 1.26e+01 - 9.79e-01 1.00e+00h 1\n", - " 14 -1.3143769e+01 1.30e-03 7.35e-04 -3.8 1.54e+00 -4.0 1.00e+00 1.00e+00h 1\n", - " 15 -1.3146132e+01 1.38e-02 6.25e-03 -5.7 4.57e+00 -4.5 9.87e-01 1.00e+00h 1\n", - " 16 -1.3154238e+01 1.62e-01 5.07e-02 -5.7 1.61e+01 -5.0 1.00e+00 1.00e+00h 1\n", - " 17 -1.3192687e+01 3.08e+00 9.46e-01 -5.7 7.46e+01 -5.4 1.00e+00 1.00e+00h 1\n", - " 18 -1.3220928e+01 3.80e+00 1.16e+00 -5.7 1.10e+03 -5.9 2.69e-01 3.96e-02h 1\n", - " 19 -1.3231006e+01 6.29e-02 4.88e-02 -5.7 3.48e+00 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.3237631e+01 3.80e-02 1.36e-02 -5.7 9.12e+00 - 1.00e+00 1.00e+00h 1\n", - " 21 -1.3237666e+01 4.95e-06 3.18e-06 -5.7 7.63e-02 - 1.00e+00 1.00e+00h 1\n", - " 22 -1.3237847e+01 2.69e-05 1.07e-05 -8.6 2.43e-01 - 1.00e+00 1.00e+00h 1\n", - " 23 -1.3237847e+01 1.49e-11 5.33e-12 -8.6 1.77e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 23\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -1.3237846622082674e+01 -1.3237846622082674e+01\n", - "Dual infeasibility......: 5.3290705182007514e-12 5.3290705182007514e-12\n", - "Constraint violation....: 1.0913936421275139e-11 1.4892975741531700e-11\n", - "Complementarity.........: 2.5059048858154309e-09 2.5059048858154309e-09\n", - "Overall NLP error.......: 2.5059048858154309e-09 2.5059048858154309e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 26\n", - "Number of objective gradient evaluations = 24\n", - "Number of equality constraint evaluations = 26\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 24\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 23\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.256\n", - "Total CPU secs in NLP function evaluations = 0.030\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "FIM: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", - " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", - " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", - " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n", - "Trace: 1981.0424592681254\n", - "Determinant: 561207.853977222\n", - "Condition number: 2950.220504105462\n", - "Minimal eigen value: 0.5016010464924008\n", - "Eigen values: [1.47983369e+03 4.99192614e+02 5.01601046e-01 1.51455219e+00]\n", - "Eigen vectors: [[-0.03538095 0.3120344 -0.77934566 0.54222049]\n", - " [-0.17098781 -0.01375256 0.56416591 0.80764526]\n", - " [ 0.09797729 -0.94433769 -0.25524836 0.18296187]\n", - " [ 0.97975089 0.10330402 0.09584074 0.14223581]]\n", - "Model objective: 13.237846622082674\n", - "Objective(determinant) is: 561207.8539772539\n", - "Solution of CA0 : [5.0]\n", - "Solution of T : [300.0000242851759]\n", - "======problem solver output======\n", - "converged\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -1083,25 +466,10 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "c6b08c05", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "======Result summary======\n", - "This optimization is solved with status: converged\n", - "It gives solution: {'CA0': [5.0], 'T': [300.0000242851759]}\n", - "The log10(OF) optimized is: 13.237846622082674\n", - "The result FIM is: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", - " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", - " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", - " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n" - ] - } - ], + "outputs": [], "source": [ "print('======Result summary======')\n", "print('This optimization is solved with status:', optimize_result.status)\n", @@ -1120,14 +488,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "flush-diameter", "metadata": {}, "outputs": [], "source": [ - "design_ranges = {'CA0':list(np.linspace(1,5,9)), 'T': list(np.linspace(300,700,9))}\n", + "#design_ranges = {'CA0':list(np.linspace(1,5,9)), 'T': list(np.linspace(300,700,9))}\n", + "design_ranges = [list(np.linspace(1,5,9)), list(np.linspace(300,700,9)), [300,500]]\n", "\n", - "dv_apply_time = {'CA0': [0], 'T': t_control}\n", + "#dv_apply_time = {'CA0': [0], 'T': t_control}\n", + "dv_apply_name = ['CA0', 'T', 'T']\n", + "dv_apply_time = [[0], [0], [0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875,1]]\n", "\n", "# Define experiments\n", "if (model_opt=='dynamic-DAE'):\n", @@ -1139,33 +510,4609 @@ { "cell_type": "code", "execution_count": null, + "id": "33ba5678", + "metadata": {}, + "outputs": [], + "source": [ + "a = {'1': [5, 4], '66':[7,8]}\n", + "b = a.copy()\n", + "print(b)\n", + "b['66'][1] = 4\n", + "print(b)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "92bb574c", + "metadata": {}, + "outputs": [], + "source": [ + "from itertools import product \n", + "\n", + "dv_list = [list(np.linspace(1,5,9)), list(np.linspace(300,700,9)), [300]]\n", + "\n", + "#x = product(list(np.linspace(1,5,9)), list(np.linspace(300,700,9)), [5,6])\n", + "x = product(*dv_list)\n", + "\n", + "print(x)\n", + "\n", + "for i in x:\n", + " print(list(i))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, "id": "separate-leone", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "(1.0, 300.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 1 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", + " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", + " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", + " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", + "Trace: 1099.5362969977725\n", + "Determinant: 151638.4943213679\n", + "Condition number: 1703.5708820968514\n", + "Minimal eigen value: 0.48581739042109506\n", + "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", + "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", + " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", + " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", + " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", + "This is the 1 run out of 162 run.\n", + "The code has run 1.1373 seconds.\n", + "Estimated remaining time: 183.0989 seconds\n", + "(1.0, 300.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 2 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", + " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", + " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", + " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", + "Trace: 1099.5362969977725\n", + "Determinant: 151638.4943213679\n", + "Condition number: 1703.5708820968514\n", + "Minimal eigen value: 0.48581739042109506\n", + "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", + "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", + " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", + " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", + " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", + "This is the 2 run out of 162 run.\n", + "The code has run 2.2290 seconds.\n", + "Estimated remaining time: 178.3221 seconds\n", + "(1.0, 350.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 3 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.32275018 5.73052082 -83.45733449 -25.66817709]\n", + " [ 5.73052082 27.64850163 -13.26806928 -145.64721142]\n", + " [ -83.45733449 -13.26806928 245.06096284 63.15882951]\n", + " [ -25.66817709 -145.64721142 63.15882951 800.38603338]]\n", + "Trace: 1102.4182480406644\n", + "Determinant: 150855.125045628\n", + "Condition number: 1705.3048930035557\n", + "Minimal eigen value: 0.48997231855823686\n", + "Eigen values: [8.35552192e+02 2.64985514e+02 4.89972319e-01 1.39056985e+00]\n", + "Eigen vectors: [[ 0.04421991 -0.31912029 -0.77638562 0.54169383]\n", + " [ 0.17820018 0.01472016 0.5657347 0.80496724]\n", + " [-0.1146775 0.93969452 -0.2597058 0.19072538]\n", + " [-0.97628805 -0.12214649 0.0986028 0.14906159]]\n", + "This is the 3 run out of 162 run.\n", + "The code has run 3.3339 seconds.\n", + "Estimated remaining time: 176.6948 seconds\n", + "(1.0, 350.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 4 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.32275018 5.73052082 -83.45733449 -25.66817709]\n", + " [ 5.73052082 27.64850163 -13.26806928 -145.64721142]\n", + " [ -83.45733449 -13.26806928 245.06096284 63.15882951]\n", + " [ -25.66817709 -145.64721142 63.15882951 800.38603338]]\n", + "Trace: 1102.4182480406644\n", + "Determinant: 150855.125045628\n", + "Condition number: 1705.3048930035557\n", + "Minimal eigen value: 0.48997231855823686\n", + "Eigen values: [8.35552192e+02 2.64985514e+02 4.89972319e-01 1.39056985e+00]\n", + "Eigen vectors: [[ 0.04421991 -0.31912029 -0.77638562 0.54169383]\n", + " [ 0.17820018 0.01472016 0.5657347 0.80496724]\n", + " [-0.1146775 0.93969452 -0.2597058 0.19072538]\n", + " [-0.97628805 -0.12214649 0.0986028 0.14906159]]\n", + "This is the 4 run out of 162 run.\n", + "The code has run 4.4343 seconds.\n", + "Estimated remaining time: 175.1536 seconds\n", + "(1.0, 400.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 5 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.13959316 5.68057605 -82.8139664 -25.23666085]\n", + " [ 5.68057605 27.27296764 -13.04504074 -143.14725332]\n", + " [ -82.8139664 -13.04504074 242.98173477 61.60044815]\n", + " [ -25.23666085 -143.14725332 61.60044815 784.93406012]]\n", + "Trace: 1084.3283557002067\n", + "Determinant: 152039.07832960782\n", + "Condition number: 1641.2051904546718\n", + "Minimal eigen value: 0.4993357281605193\n", + "Eigen values: [8.19512389e+02 2.62903408e+02 4.99335728e-01 1.41322349e+00]\n", + "Eigen vectors: [[ 0.04447521 -0.31931057 -0.77803254 0.53919206]\n", + " [ 0.17859423 0.01458837 0.56323502 0.80663349]\n", + " [-0.11473313 0.93961044 -0.26036328 0.19020907]\n", + " [-0.97619791 -0.12231173 0.09819695 0.14978263]]\n", + "This is the 5 run out of 162 run.\n", + "The code has run 5.6978 seconds.\n", + "Estimated remaining time: 178.9120 seconds\n", + "(1.0, 400.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 6 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.13959316 5.68057605 -82.8139664 -25.23666085]\n", + " [ 5.68057605 27.27296764 -13.04504074 -143.14725332]\n", + " [ -82.8139664 -13.04504074 242.98173477 61.60044815]\n", + " [ -25.23666085 -143.14725332 61.60044815 784.93406012]]\n", + "Trace: 1084.3283557002067\n", + "Determinant: 152039.07832960782\n", + "Condition number: 1641.2051904546718\n", + "Minimal eigen value: 0.4993357281605193\n", + "Eigen values: [8.19512389e+02 2.62903408e+02 4.99335728e-01 1.41322349e+00]\n", + "Eigen vectors: [[ 0.04447521 -0.31931057 -0.77803254 0.53919206]\n", + " [ 0.17859423 0.01458837 0.56323502 0.80663349]\n", + " [-0.11473313 0.93961044 -0.26036328 0.19020907]\n", + " [-0.97619791 -0.12231173 0.09819695 0.14978263]]\n", + "This is the 6 run out of 162 run.\n", + "The code has run 7.0821 seconds.\n", + "Estimated remaining time: 184.1342 seconds\n", + "(1.0, 450.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 7 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.01044333 5.6006748 -82.42582703 -24.78056053]\n", + " [ 5.6006748 26.92260118 -12.8093067 -141.30405073]\n", + " [ -82.42582703 -12.8093067 241.89507006 60.33727148]\n", + " [ -24.78056053 -141.30405073 60.33727148 775.5570763 ]]\n", + "Trace: 1073.3851908623308\n", + "Determinant: 152189.04419265324\n", + "Condition number: 1609.9994023835127\n", + "Minimal eigen value: 0.5028391663221075\n", + "Eigen values: [8.09570757e+02 2.61884047e+02 5.02839166e-01 1.42754706e+00]\n", + "Eigen vectors: [[ 0.04433757 -0.31929264 -0.77731938 0.54024159]\n", + " [ 0.17845201 0.014419 0.56435213 0.80588687]\n", + " [-0.1142325 0.93968376 -0.2600425 0.19058663]\n", + " [-0.97628889 -0.12181434 0.09828098 0.14953969]]\n", + "This is the 7 run out of 162 run.\n", + "The code has run 8.3802 seconds.\n", + "Estimated remaining time: 185.5607 seconds\n", + "(1.0, 450.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 8 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 29.01044333 5.6006748 -82.42582703 -24.78056053]\n", + " [ 5.6006748 26.92260118 -12.8093067 -141.30405073]\n", + " [ -82.42582703 -12.8093067 241.89507006 60.33727148]\n", + " [ -24.78056053 -141.30405073 60.33727148 775.5570763 ]]\n", + "Trace: 1073.3851908623308\n", + "Determinant: 152189.04419265324\n", + "Condition number: 1609.9994023835127\n", + "Minimal eigen value: 0.5028391663221075\n", + "Eigen values: [8.09570757e+02 2.61884047e+02 5.02839166e-01 1.42754706e+00]\n", + "Eigen vectors: [[ 0.04433757 -0.31929264 -0.77731938 0.54024159]\n", + " [ 0.17845201 0.014419 0.56435213 0.80588687]\n", + " [-0.1142325 0.93968376 -0.2600425 0.19058663]\n", + " [-0.97628889 -0.12181434 0.09828098 0.14953969]]\n", + "This is the 8 run out of 162 run.\n", + "The code has run 9.6194 seconds.\n", + "Estimated remaining time: 185.1740 seconds\n", + "(1.0, 500.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 9 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.92490828 5.55538372 -82.19690664 -24.54095093]\n", + " [ 5.55538372 26.74178551 -12.68546547 -140.44317569]\n", + " [ -82.19690664 -12.68546547 241.32359269 59.73172413]\n", + " [ -24.54095093 -140.44317569 59.73172413 771.61101462]]\n", + "Trace: 1068.6013010931579\n", + "Determinant: 151629.20405875487\n", + "Condition number: 1602.4379552920132\n", + "Minimal eigen value: 0.5025670284947488\n", + "Eigen values: [8.05332482e+02 2.61332679e+02 5.02567028e-01 1.43357337e+00]\n", + "Eigen vectors: [[ 0.04419056 -0.31920854 -0.77605387 0.54211945]\n", + " [ 0.17828909 0.01431314 0.56629712 0.80455932]\n", + " [-0.11385326 0.93976516 -0.25949412 0.19115878]\n", + " [-0.97636962 -0.12141862 0.09854321 0.14916141]]\n", + "This is the 9 run out of 162 run.\n", + "The code has run 10.8903 seconds.\n", + "Estimated remaining time: 185.1346 seconds\n", + "(1.0, 500.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 10 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.92490828 5.55538372 -82.19690664 -24.54095093]\n", + " [ 5.55538372 26.74178551 -12.68546547 -140.44317569]\n", + " [ -82.19690664 -12.68546547 241.32359269 59.73172413]\n", + " [ -24.54095093 -140.44317569 59.73172413 771.61101462]]\n", + "Trace: 1068.6013010931579\n", + "Determinant: 151629.20405875487\n", + "Condition number: 1602.4379552920132\n", + "Minimal eigen value: 0.5025670284947488\n", + "Eigen values: [8.05332482e+02 2.61332679e+02 5.02567028e-01 1.43357337e+00]\n", + "Eigen vectors: [[ 0.04419056 -0.31920854 -0.77605387 0.54211945]\n", + " [ 0.17828909 0.01431314 0.56629712 0.80455932]\n", + " [-0.11385326 0.93976516 -0.25949412 0.19115878]\n", + " [-0.97636962 -0.12141862 0.09854321 0.14916141]]\n", + "This is the 10 run out of 162 run.\n", + "The code has run 12.2919 seconds.\n", + "Estimated remaining time: 186.8376 seconds\n", + "(1.0, 550.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 11 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.86882939 5.53037525 -82.05970295 -24.41164554]\n", + " [ 5.53037525 26.64172746 -12.6186346 -140.0045525 ]\n", + " [ -82.05970295 -12.6186346 241.01199885 59.42386584]\n", + " [ -24.41164554 -140.0045525 59.42386584 769.77181902]]\n", + "Trace: 1066.294374711943\n", + "Determinant: 150651.09426599584\n", + "Condition number: 1605.4640856393876\n", + "Minimal eigen value: 0.5003756301004131\n", + "Eigen values: [8.03335103e+02 2.61023074e+02 5.00375630e-01 1.43582164e+00]\n", + "Eigen vectors: [[ 0.04408811 -0.31912119 -0.77484501 0.54390542]\n", + " [ 0.17816725 0.0142491 0.56813973 0.80328739]\n", + " [-0.11361614 0.93982827 -0.25897468 0.19169326]\n", + " [-0.97642411 -0.12116701 0.09881581 0.14882859]]\n", + "This is the 11 run out of 162 run.\n", + "The code has run 13.6361 seconds.\n", + "Estimated remaining time: 187.1865 seconds\n", + "(1.0, 550.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 12 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.86882939 5.53037525 -82.05970295 -24.41164554]\n", + " [ 5.53037525 26.64172746 -12.6186346 -140.0045525 ]\n", + " [ -82.05970295 -12.6186346 241.01199885 59.42386584]\n", + " [ -24.41164554 -140.0045525 59.42386584 769.77181902]]\n", + "Trace: 1066.294374711943\n", + "Determinant: 150651.09426599584\n", + "Condition number: 1605.4640856393876\n", + "Minimal eigen value: 0.5003756301004131\n", + "Eigen values: [8.03335103e+02 2.61023074e+02 5.00375630e-01 1.43582164e+00]\n", + "Eigen vectors: [[ 0.04408811 -0.31912119 -0.77484501 0.54390542]\n", + " [ 0.17816725 0.0142491 0.56813973 0.80328739]\n", + " [-0.11361614 0.93982827 -0.25897468 0.19169326]\n", + " [-0.97642411 -0.12116701 0.09881581 0.14882859]]\n", + "This is the 12 run out of 162 run.\n", + "The code has run 14.9395 seconds.\n", + "Estimated remaining time: 186.7442 seconds\n", + "(1.0, 600.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 13 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.83024839 5.51197609 -81.9726446 -24.32382628]\n", + " [ 5.51197609 26.57520042 -12.57324566 -139.74017115]\n", + " [ -81.9726446 -12.57324566 240.83051064 59.23199143]\n", + " [ -24.32382628 -139.74017115 59.23199143 768.76471335]]\n", + "Trace: 1065.0006727945133\n", + "Determinant: 149413.08866872228\n", + "Condition number: 1612.3033965284394\n", + "Minimal eigen value: 0.4975647310687059\n", + "Eigen values: [8.02225306e+02 2.60842762e+02 4.97564731e-01 1.43503967e+00]\n", + "Eigen vectors: [[ 0.04400313 -0.31904919 -0.77362392 0.54568981]\n", + " [ 0.17807049 0.01421057 0.56997784 0.80200637]\n", + " [-0.11343891 0.93987811 -0.25847425 0.19222854]\n", + " [-0.9764662 -0.12097442 0.09910778 0.14851464]]\n", + "This is the 13 run out of 162 run.\n", + "The code has run 16.2990 seconds.\n", + "Estimated remaining time: 186.8119 seconds\n", + "(1.0, 600.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 14 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.83024839 5.51197609 -81.9726446 -24.32382628]\n", + " [ 5.51197609 26.57520042 -12.57324566 -139.74017115]\n", + " [ -81.9726446 -12.57324566 240.83051064 59.23199143]\n", + " [ -24.32382628 -139.74017115 59.23199143 768.76471335]]\n", + "Trace: 1065.0006727945133\n", + "Determinant: 149413.08866872228\n", + "Condition number: 1612.3033965284394\n", + "Minimal eigen value: 0.4975647310687059\n", + "Eigen values: [8.02225306e+02 2.60842762e+02 4.97564731e-01 1.43503967e+00]\n", + "Eigen vectors: [[ 0.04400313 -0.31904919 -0.77362392 0.54568981]\n", + " [ 0.17807049 0.01421057 0.56997784 0.80200637]\n", + " [-0.11343891 0.93987811 -0.25847425 0.19222854]\n", + " [-0.9764662 -0.12097442 0.09910778 0.14851464]]\n", + "This is the 14 run out of 162 run.\n", + "The code has run 17.5690 seconds.\n", + "Estimated remaining time: 185.7298 seconds\n", + "(1.0, 650.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 15 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 28.80018525 5.49300764 -81.91123719 -24.24793267]\n", + " [ 5.49300764 26.52345436 -12.53402042 -139.55761761]\n", + " [ -81.91123719 -12.53402042 240.71385582 59.08679739]\n", + " [ -24.24793267 -139.55761761 59.08679739 768.1403749 ]]\n", + "Trace: 1064.1778703392624\n", + "Determinant: 147983.78531466573\n", + "Condition number: 1619.2882874718866\n", + "Minimal eigen value: 0.49498422928574204\n", + "Eigen values: [8.01522165e+02 2.60730128e+02 4.94984229e-01 1.43059273e+00]\n", + "Eigen vectors: [[ 0.04391558 -0.31898969 -0.77249369 0.54733034]\n", + " [ 0.17798693 0.01419347 0.57166177 0.80082584]\n", + " [-0.11327681 0.93992205 -0.25802797 0.19270827]\n", + " [-0.97650419 -0.12079184 0.09938759 0.14822618]]\n", + "This is the 15 run out of 162 run.\n", + "The code has run 18.8551 seconds.\n", + "Estimated remaining time: 184.7795 seconds\n", + "(1.0, 650.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 16 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.80018525 5.49300764 -81.91123719 -24.24793267]\n", + " [ 5.49300764 26.52345436 -12.53402042 -139.55761761]\n", + " [ -81.91123719 -12.53402042 240.71385582 59.08679739]\n", + " [ -24.24793267 -139.55761761 59.08679739 768.1403749 ]]\n", + "Trace: 1064.1778703392624\n", + "Determinant: 147983.78531466573\n", + "Condition number: 1619.2882874718866\n", + "Minimal eigen value: 0.49498422928574204\n", + "Eigen values: [8.01522165e+02 2.60730128e+02 4.94984229e-01 1.43059273e+00]\n", + "Eigen vectors: [[ 0.04391558 -0.31898969 -0.77249369 0.54733034]\n", + " [ 0.17798693 0.01419347 0.57166177 0.80082584]\n", + " [-0.11327681 0.93992205 -0.25802797 0.19270827]\n", + " [-0.97650419 -0.12079184 0.09938759 0.14822618]]\n", + "This is the 16 run out of 162 run.\n", + "The code has run 20.1550 seconds.\n", + "Estimated remaining time: 183.9143 seconds\n", + "(1.0, 700.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 17 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.77447266 5.4733019 -81.86441559 -24.18097488]\n", + " [ 5.4733019 26.4829594 -12.4994136 -139.4302313 ]\n", + " [ -81.86441559 -12.4994136 240.63335596 58.97428567]\n", + " [ -24.18097488 -139.4302313 58.97428567 767.74785482]]\n", + "Trace: 1063.638642847519\n", + "Determinant: 146507.48646152133\n", + "Condition number: 1624.9104501935346\n", + "Minimal eigen value: 0.49299236417422976\n", + "Eigen values: [8.01068444e+02 2.60653941e+02 4.92992364e-01 1.42326479e+00]\n", + "Eigen vectors: [[ 0.04382893 -0.31893711 -0.7717461 0.54842146]\n", + " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", + " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", + " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", + "This is the 17 run out of 162 run.\n", + "The code has run 21.4631 seconds.\n", + "Estimated remaining time: 183.0679 seconds\n", + "(1.0, 700.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 18 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.77447266 5.4733019 -81.86441559 -24.18097488]\n", + " [ 5.4733019 26.4829594 -12.4994136 -139.4302313 ]\n", + " [ -81.86441559 -12.4994136 240.63335596 58.97428567]\n", + " [ -24.18097488 -139.4302313 58.97428567 767.74785482]]\n", + "Trace: 1063.638642847519\n", + "Determinant: 146507.48646152133\n", + "Condition number: 1624.9104501935346\n", + "Minimal eigen value: 0.49299236417422976\n", + "Eigen values: [8.01068444e+02 2.60653941e+02 4.92992364e-01 1.42326479e+00]\n", + "Eigen vectors: [[ 0.04382893 -0.31893711 -0.7717461 0.54842146]\n", + " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", + " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", + " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", + "This is the 18 run out of 162 run.\n", + "The code has run 22.8267 seconds.\n", + "Estimated remaining time: 182.6135 seconds\n", + "(1.5, 300.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 19 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.70641355 5.57815178 -88.05817863 -25.02307897]\n", + " [ 5.57815178 28.03819545 -12.93465209 -149.06593851]\n", + " [ -88.05817863 -12.93465209 260.17215396 61.87992411]\n", + " [ -25.02307897 -149.06593851 61.87992411 826.53130085]]\n", + "Trace: 1145.4480638161667\n", + "Determinant: 166581.38467009662\n", + "Condition number: 1768.1232464410234\n", + "Minimal eigen value: 0.48728421389676346\n", + "Eigen values: [8.61578546e+02 2.81975090e+02 4.87284214e-01 1.40714388e+00]\n", + "Eigen vectors: [[ 0.04232893 -0.31766896 -0.77678944 0.54211886]\n", + " [ 0.17674052 0.01415152 0.56581838 0.80524039]\n", + " [-0.11053633 0.94077102 -0.25856259 0.18941223]\n", + " [-0.97711451 -0.11762676 0.09794444 0.14770939]]\n", + "This is the 19 run out of 162 run.\n", + "The code has run 23.8490 seconds.\n", + "Estimated remaining time: 179.4953 seconds\n", + "(1.5, 300.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 20 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.70641355 5.57815178 -88.05817863 -25.02307897]\n", + " [ 5.57815178 28.03819545 -12.93465209 -149.06593851]\n", + " [ -88.05817863 -12.93465209 260.17215396 61.87992411]\n", + " [ -25.02307897 -149.06593851 61.87992411 826.53130085]]\n", + "Trace: 1145.4480638161667\n", + "Determinant: 166581.38467009662\n", + "Condition number: 1768.1232464410234\n", + "Minimal eigen value: 0.48728421389676346\n", + "Eigen values: [8.61578546e+02 2.81975090e+02 4.87284214e-01 1.40714388e+00]\n", + "Eigen vectors: [[ 0.04232893 -0.31766896 -0.77678944 0.54211886]\n", + " [ 0.17674052 0.01415152 0.56581838 0.80524039]\n", + " [-0.11053633 0.94077102 -0.25856259 0.18941223]\n", + " [-0.97711451 -0.11762676 0.09794444 0.14770939]]\n", + "This is the 20 run out of 162 run.\n", + "The code has run 24.9492 seconds.\n", + "Estimated remaining time: 177.1394 seconds\n", + "(1.5, 350.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 21 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.12752784 6.12805011 -85.60807009 -27.7236819 ]\n", + " [ 6.12805011 29.19744073 -14.3304499 -153.65631904]\n", + " [ -85.60807009 -14.3304499 250.80871635 68.65208131]\n", + " [ -27.7236819 -153.65631904 68.65208131 841.79876875]]\n", + "Trace: 1151.9324536678646\n", + "Determinant: 164685.70018609465\n", + "Condition number: 1771.4801724742997\n", + "Minimal eigen value: 0.4964321047417337\n", + "Eigen values: [8.79419631e+02 2.70622477e+02 4.96432105e-01 1.39391410e+00]\n", + "Eigen vectors: [[ 0.04491711 -0.31961785 -0.77643054 0.54127858]\n", + " [ 0.17866548 0.01524896 0.5653439 0.8051288 ]\n", + " [-0.11677295 0.93923424 -0.26030484 0.19090448]\n", + " [-0.97592273 -0.12430185 0.09891048 0.14946769]]\n", + "This is the 21 run out of 162 run.\n", + "The code has run 25.9836 seconds.\n", + "Estimated remaining time: 174.4614 seconds\n", + "(1.5, 350.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 22 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 30.12752784 6.12805011 -85.60807009 -27.7236819 ]\n", + " [ 6.12805011 29.19744073 -14.3304499 -153.65631904]\n", + " [ -85.60807009 -14.3304499 250.80871635 68.65208131]\n", + " [ -27.7236819 -153.65631904 68.65208131 841.79876875]]\n", + "Trace: 1151.9324536678646\n", + "Determinant: 164685.70018609465\n", + "Condition number: 1771.4801724742997\n", + "Minimal eigen value: 0.4964321047417337\n", + "Eigen values: [8.79419631e+02 2.70622477e+02 4.96432105e-01 1.39391410e+00]\n", + "Eigen vectors: [[ 0.04491711 -0.31961785 -0.77643054 0.54127858]\n", + " [ 0.17866548 0.01524896 0.5653439 0.8051288 ]\n", + " [-0.11677295 0.93923424 -0.26030484 0.19090448]\n", + " [-0.97592273 -0.12430185 0.09891048 0.14946769]]\n", + "This is the 22 run out of 162 run.\n", + "The code has run 27.0056 seconds.\n", + "Estimated remaining time: 171.8538 seconds\n", + "(1.5, 400.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 23 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.71542453 6.01567437 -84.16049376 -26.75276831]\n", + " [ 6.01567437 28.35248924 -13.82864007 -148.03140872]\n", + " [ -84.16049376 -13.82864007 246.13046204 65.14573844]\n", + " [ -26.75276831 -148.03140872 65.14573844 807.03178755]]\n", + "Trace: 1111.2301633637778\n", + "Determinant: 167498.06622292424\n", + "Condition number: 1630.10789521531\n", + "Minimal eigen value: 0.5173475296016143\n", + "Eigen values: [8.43332293e+02 2.65936913e+02 5.17347530e-01 1.44361061e+00]\n", + "Eigen vectors: [[ 0.04551309 -0.32004255 -0.77992286 0.53593064]\n", + " [ 0.17954663 0.01498612 0.56000596 0.80866047]\n", + " [-0.11700624 0.93903051 -0.26172257 0.18982237]\n", + " [-0.97570544 -0.12477931 0.09805588 0.15104325]]\n", + "This is the 23 run out of 162 run.\n", + "The code has run 28.1972 seconds.\n", + "Estimated remaining time: 170.4090 seconds\n", + "(1.5, 400.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 24 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.71542453 6.01567437 -84.16049376 -26.75276831]\n", + " [ 6.01567437 28.35248924 -13.82864007 -148.03140872]\n", + " [ -84.16049376 -13.82864007 246.13046204 65.14573844]\n", + " [ -26.75276831 -148.03140872 65.14573844 807.03178755]]\n", + "Trace: 1111.2301633637778\n", + "Determinant: 167498.06622292424\n", + "Condition number: 1630.10789521531\n", + "Minimal eigen value: 0.5173475296016143\n", + "Eigen values: [8.43332293e+02 2.65936913e+02 5.17347530e-01 1.44361061e+00]\n", + "Eigen vectors: [[ 0.04551309 -0.32004255 -0.77992286 0.53593064]\n", + " [ 0.17954663 0.01498612 0.56000596 0.80866047]\n", + " [-0.11700624 0.93903051 -0.26172257 0.18982237]\n", + " [-0.97570544 -0.12477931 0.09805588 0.15104325]]\n", + "This is the 24 run out of 162 run.\n", + "The code has run 29.3724 seconds.\n", + "Estimated remaining time: 168.8915 seconds\n", + "(1.5, 450.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 25 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.42483742 5.83589657 -83.2871783 -25.72654463]\n", + " [ 5.83589657 27.56416471 -13.29823411 -143.88420751]\n", + " [ -83.2871783 -13.29823411 243.68545756 62.30357572]\n", + " [ -25.72654463 -143.88420751 62.30357572 785.93361533]]\n", + "Trace: 1086.6080750185051\n", + "Determinant: 167875.11552651896\n", + "Condition number: 1562.4478475438566\n", + "Minimal eigen value: 0.5254321774225026\n", + "Eigen values: [8.20960375e+02 2.63646133e+02 5.25432177e-01 1.47613493e+00]\n", + "Eigen vectors: [[ 0.04524413 -0.3200065 -0.77844675 0.53811659]\n", + " [ 0.17925728 0.01462011 0.56233951 0.8071105 ]\n", + " [-0.11598236 0.93918215 -0.26104818 0.19062748]\n", + " [-0.97589338 -0.12376989 0.09822824 0.1505468 ]]\n", + "This is the 25 run out of 162 run.\n", + "The code has run 30.5871 seconds.\n", + "Estimated remaining time: 167.6175 seconds\n", + "(1.5, 450.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 26 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.42483742 5.83589657 -83.2871783 -25.72654463]\n", + " [ 5.83589657 27.56416471 -13.29823411 -143.88420751]\n", + " [ -83.2871783 -13.29823411 243.68545756 62.30357572]\n", + " [ -25.72654463 -143.88420751 62.30357572 785.93361533]]\n", + "Trace: 1086.6080750185051\n", + "Determinant: 167875.11552651896\n", + "Condition number: 1562.4478475438566\n", + "Minimal eigen value: 0.5254321774225026\n", + "Eigen values: [8.20960375e+02 2.63646133e+02 5.25432177e-01 1.47613493e+00]\n", + "Eigen vectors: [[ 0.04524413 -0.3200065 -0.77844675 0.53811659]\n", + " [ 0.17925728 0.01462011 0.56233951 0.8071105 ]\n", + " [-0.11598236 0.93918215 -0.26104818 0.19062748]\n", + " [-0.97589338 -0.12376989 0.09822824 0.1505468 ]]\n", + "This is the 26 run out of 162 run.\n", + "The code has run 31.8199 seconds.\n", + "Estimated remaining time: 166.4426 seconds\n", + "(1.5, 500.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 27 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.23238356 5.73399164 -82.77210745 -25.18742309]\n", + " [ 5.73399164 27.15732946 -13.01959137 -141.94723866]\n", + " [ -82.77210745 -13.01959137 242.39963353 60.94109427]\n", + " [ -25.18742309 -141.94723866 60.94109427 777.05497655]]\n", + "Trace: 1075.8443231042434\n", + "Determinant: 166559.47639777444\n", + "Condition number: 1545.6906074240526\n", + "Minimal eigen value: 0.5249576134254763\n", + "Eigen values: [8.11422052e+02 2.62407189e+02 5.24957613e-01 1.49012456e+00]\n", + "Eigen vectors: [[ 0.04492884 -0.31982184 -0.77575625 0.54212326]\n", + " [ 0.17890315 0.01438423 0.56649127 0.80428503]\n", + " [-0.11516394 0.93936059 -0.2598682 0.19185273]\n", + " [-0.97606984 -0.12291775 0.09878462 0.14973475]]\n", + "This is the 27 run out of 162 run.\n", + "The code has run 33.1209 seconds.\n", + "Estimated remaining time: 165.6044 seconds\n", + "(1.5, 500.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 28 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.23238356 5.73399164 -82.77210745 -25.18742309]\n", + " [ 5.73399164 27.15732946 -13.01959137 -141.94723866]\n", + " [ -82.77210745 -13.01959137 242.39963353 60.94109427]\n", + " [ -25.18742309 -141.94723866 60.94109427 777.05497655]]\n", + "Trace: 1075.8443231042434\n", + "Determinant: 166559.47639777444\n", + "Condition number: 1545.6906074240526\n", + "Minimal eigen value: 0.5249576134254763\n", + "Eigen values: [8.11422052e+02 2.62407189e+02 5.24957613e-01 1.49012456e+00]\n", + "Eigen vectors: [[ 0.04492884 -0.31982184 -0.77575625 0.54212326]\n", + " [ 0.17890315 0.01438423 0.56649127 0.80428503]\n", + " [-0.11516394 0.93936059 -0.2598682 0.19185273]\n", + " [-0.97606984 -0.12291775 0.09878462 0.14973475]]\n", + "This is the 28 run out of 162 run.\n", + "The code has run 34.3384 seconds.\n", + "Estimated remaining time: 164.3336 seconds\n", + "(1.5, 550.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 29 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 29.10620604 5.67772258 -82.46339932 -24.89648593]\n", + " [ 5.67772258 26.93219884 -12.86922226 -140.9603365 ]\n", + " [ -82.46339932 -12.86922226 241.69854807 60.24841433]\n", + " [ -24.89648593 -140.9603365 60.24841433 772.91678654]]\n", + "Trace: 1070.65373948992\n", + "Determinant: 164251.619804841\n", + "Condition number: 1551.5407215360776\n", + "Minimal eigen value: 0.5200809843403219\n", + "Eigen values: [8.06926826e+02 2.61711348e+02 5.20080984e-01 1.49548471e+00]\n", + "Eigen vectors: [[ 0.04470411 -0.31962802 -0.77317125 0.54593561]\n", + " [ 0.17863376 0.01423995 0.57042457 0.80156286]\n", + " [-0.11464267 0.93950088 -0.25874541 0.19299216]\n", + " [-0.97619085 -0.12236526 0.09936214 0.14901452]]\n", + "This is the 29 run out of 162 run.\n", + "The code has run 35.5636 seconds.\n", + "Estimated remaining time: 163.1019 seconds\n", + "(1.5, 550.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 30 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.10620604 5.67772258 -82.46339932 -24.89648593]\n", + " [ 5.67772258 26.93219884 -12.86922226 -140.9603365 ]\n", + " [ -82.46339932 -12.86922226 241.69854807 60.24841433]\n", + " [ -24.89648593 -140.9603365 60.24841433 772.91678654]]\n", + "Trace: 1070.65373948992\n", + "Determinant: 164251.619804841\n", + "Condition number: 1551.5407215360776\n", + "Minimal eigen value: 0.5200809843403219\n", + "Eigen values: [8.06926826e+02 2.61711348e+02 5.20080984e-01 1.49548471e+00]\n", + "Eigen vectors: [[ 0.04470411 -0.31962802 -0.77317125 0.54593561]\n", + " [ 0.17863376 0.01423995 0.57042457 0.80156286]\n", + " [-0.11464267 0.93950088 -0.25874541 0.19299216]\n", + " [-0.97619085 -0.12236526 0.09936214 0.14901452]]\n", + "This is the 30 run out of 162 run.\n", + "The code has run 36.7942 seconds.\n", + "Estimated remaining time: 161.8945 seconds\n", + "(1.5, 600.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 31 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.0193988 5.63632446 -82.26751782 -24.69889258]\n", + " [ 5.63632446 26.78251299 -12.76709673 -140.36547844]\n", + " [ -82.26751782 -12.76709673 241.29019885 59.81669556]\n", + " [ -24.69889258 -140.36547844 59.81669556 770.65079868]]\n", + "Trace: 1067.7429093235437\n", + "Determinant: 161334.89807169262\n", + "Condition number: 1565.79882549867\n", + "Minimal eigen value: 0.5137499671366336\n", + "Eigen values: [8.04429095e+02 2.61306103e+02 5.13749967e-01 1.49396075e+00]\n", + "Eigen vectors: [[ 0.04451555 -0.31946758 -0.77054608 0.54974319]\n", + " [ 0.17841813 0.01415267 0.57434597 0.79880748]\n", + " [-0.11424927 0.93961231 -0.25766109 0.19413028]\n", + " [-0.97628502 -0.12193796 0.0999811 0.14833231]]\n", + "This is the 31 run out of 162 run.\n", + "The code has run 38.0604 seconds.\n", + "Estimated remaining time: 160.8358 seconds\n", + "(1.5, 600.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 32 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.0193988 5.63632446 -82.26751782 -24.69889258]\n", + " [ 5.63632446 26.78251299 -12.76709673 -140.36547844]\n", + " [ -82.26751782 -12.76709673 241.29019885 59.81669556]\n", + " [ -24.69889258 -140.36547844 59.81669556 770.65079868]]\n", + "Trace: 1067.7429093235437\n", + "Determinant: 161334.89807169262\n", + "Condition number: 1565.79882549867\n", + "Minimal eigen value: 0.5137499671366336\n", + "Eigen values: [8.04429095e+02 2.61306103e+02 5.13749967e-01 1.49396075e+00]\n", + "Eigen vectors: [[ 0.04451555 -0.31946758 -0.77054608 0.54974319]\n", + " [ 0.17841813 0.01415267 0.57434597 0.79880748]\n", + " [-0.11424927 0.93961231 -0.25766109 0.19413028]\n", + " [-0.97628502 -0.12193796 0.0999811 0.14833231]]\n", + "This is the 32 run out of 162 run.\n", + "The code has run 39.3473 seconds.\n", + "Estimated remaining time: 159.8485 seconds\n", + "(1.5, 650.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 33 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.95175675 5.59364544 -82.12935116 -24.52813197]\n", + " [ 5.59364544 26.66608437 -12.67883997 -139.95473299]\n", + " [ -82.12935116 -12.67883997 241.02772555 59.49000905]\n", + " [ -24.52813197 -139.95473299 59.49000905 769.24603721]]\n", + "Trace: 1065.8916038711552\n", + "Determinant: 157986.53907653803\n", + "Condition number: 1580.7201252527295\n", + "Minimal eigen value: 0.5078992315221698\n", + "Eigen values: [8.02846537e+02 2.61053006e+02 5.07899232e-01 1.48416195e+00]\n", + "Eigen vectors: [[ 0.04431997 -0.31933472 -0.76807456 0.55328342]\n", + " [ 0.17823113 0.01411361 0.5779786 0.7962256 ]\n", + " [-0.11388728 0.93971088 -0.25668156 0.19516077]\n", + " [-0.97637037 -0.12153025 0.10058223 0.1476974 ]]\n", + "This is the 33 run out of 162 run.\n", + "The code has run 40.6443 seconds.\n", + "Estimated remaining time: 158.8823 seconds\n", + "(1.5, 650.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 34 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.95175675 5.59364544 -82.12935116 -24.52813197]\n", + " [ 5.59364544 26.66608437 -12.67883997 -139.95473299]\n", + " [ -82.12935116 -12.67883997 241.02772555 59.49000905]\n", + " [ -24.52813197 -139.95473299 59.49000905 769.24603721]]\n", + "Trace: 1065.8916038711552\n", + "Determinant: 157986.53907653803\n", + "Condition number: 1580.7201252527295\n", + "Minimal eigen value: 0.5078992315221698\n", + "Eigen values: [8.02846537e+02 2.61053006e+02 5.07899232e-01 1.48416195e+00]\n", + "Eigen vectors: [[ 0.04431997 -0.31933472 -0.76807456 0.55328342]\n", + " [ 0.17823113 0.01411361 0.5779786 0.7962256 ]\n", + " [-0.11388728 0.93971088 -0.25668156 0.19516077]\n", + " [-0.97637037 -0.12153025 0.10058223 0.1476974 ]]\n", + "This is the 34 run out of 162 run.\n", + "The code has run 42.0161 seconds.\n", + "Estimated remaining time: 158.1784 seconds\n", + "(1.5, 700.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 35 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.89390341 5.54930753 -82.02400255 -24.37747694]\n", + " [ 5.54930753 26.57497071 -12.60097464 -139.66811378]\n", + " [ -82.02400255 -12.60097464 240.84660087 59.23685769]\n", + " [ -24.37747694 -139.66811378 59.23685769 768.362867 ]]\n", + "Trace: 1064.6783419866704\n", + "Determinant: 154556.86878195836\n", + "Condition number: 1592.9075104447347\n", + "Minimal eigen value: 0.5033721886008624\n", + "Eigen values: [8.01825340e+02 2.60881801e+02 5.03372189e-01 1.46782923e+00]\n", + "Eigen vectors: [[ 0.0441257 -0.3192171 -0.76637353 0.55572023]\n", + " [ 0.17807683 0.01411373 0.58045733 0.79445499]\n", + " [-0.11356021 0.93979995 -0.25600742 0.19580686]\n", + " [-0.97644541 -0.12114987 0.10100051 0.14722759]]\n", + "This is the 35 run out of 162 run.\n", + "The code has run 43.2897 seconds.\n", + "Estimated remaining time: 157.0799 seconds\n", + "(1.5, 700.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 36 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 28.89390341 5.54930753 -82.02400255 -24.37747694]\n", + " [ 5.54930753 26.57497071 -12.60097464 -139.66811378]\n", + " [ -82.02400255 -12.60097464 240.84660087 59.23685769]\n", + " [ -24.37747694 -139.66811378 59.23685769 768.362867 ]]\n", + "Trace: 1064.6783419866704\n", + "Determinant: 154556.86878195836\n", + "Condition number: 1592.9075104447347\n", + "Minimal eigen value: 0.5033721886008624\n", + "Eigen values: [8.01825340e+02 2.60881801e+02 5.03372189e-01 1.46782923e+00]\n", + "Eigen vectors: [[ 0.0441257 -0.3192171 -0.76637353 0.55572023]\n", + " [ 0.17807683 0.01411373 0.58045733 0.79445499]\n", + " [-0.11356021 0.93979995 -0.25600742 0.19580686]\n", + " [-0.97644541 -0.12114987 0.10100051 0.14722759]]\n", + "This is the 36 run out of 162 run.\n", + "The code has run 44.5734 seconds.\n", + "Estimated remaining time: 156.0071 seconds\n", + "(2.0, 300.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 37 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.28334671 5.70699409 -92.97484844 -25.80031677]\n", + " [ 5.70699409 29.30507497 -13.33636445 -156.70839321]\n", + " [ -92.97484844 -13.33636445 275.50168257 64.30324325]\n", + " [ -25.80031677 -156.70839321 64.30324325 872.63443311]]\n", + "Trace: 1209.7245373595783\n", + "Determinant: 188680.91170914198\n", + "Condition number: 1858.616320831994\n", + "Minimal eigen value: 0.48913747009914166\n", + "Eigen values: [9.09118885e+02 2.98695996e+02 4.89137470e-01 1.42051869e+00]\n", + "Eigen vectors: [[ 0.04146304 -0.31695699 -0.77712411 0.54212287]\n", + " [ 0.17602088 0.01408456 0.56560106 0.80555181]\n", + " [-0.10898703 0.94123169 -0.25813549 0.18860223]\n", + " [-0.97745552 -0.1158568 0.09767104 0.14703155]]\n", + "This is the 37 run out of 162 run.\n", + "The code has run 45.6867 seconds.\n", + "Estimated remaining time: 154.3471 seconds\n", + "(2.0, 300.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 38 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.28334671 5.70699409 -92.97484844 -25.80031677]\n", + " [ 5.70699409 29.30507497 -13.33636445 -156.70839321]\n", + " [ -92.97484844 -13.33636445 275.50168257 64.30324325]\n", + " [ -25.80031677 -156.70839321 64.30324325 872.63443311]]\n", + "Trace: 1209.7245373595783\n", + "Determinant: 188680.91170914198\n", + "Condition number: 1858.616320831994\n", + "Minimal eigen value: 0.48913747009914166\n", + "Eigen values: [9.09118885e+02 2.98695996e+02 4.89137470e-01 1.42051869e+00]\n", + "Eigen vectors: [[ 0.04146304 -0.31695699 -0.77712411 0.54212287]\n", + " [ 0.17602088 0.01408456 0.56560106 0.80555181]\n", + " [-0.10898703 0.94123169 -0.25813549 0.18860223]\n", + " [-0.97745552 -0.1158568 0.09767104 0.14703155]]\n", + "This is the 38 run out of 162 run.\n", + "The code has run 46.7871 seconds.\n", + "Estimated remaining time: 152.6736 seconds\n", + "(2.0, 350.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 39 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.25421656 6.68459112 -88.61909992 -30.60138864]\n", + " [ 6.68459112 31.36595547 -15.81778278 -164.86906971]\n", + " [ -88.61909992 -15.81778278 258.85557126 76.34263383]\n", + " [ -30.60138864 -164.86906971 76.34263383 899.77659826]]\n", + "Trace: 1221.2523415411317\n", + "Determinant: 184979.52586245077\n", + "Condition number: 1863.3156848542435\n", + "Minimal eigen value: 0.5049297243111703\n", + "Eigen values: [9.40843475e+02 2.78505828e+02 5.04929724e-01 1.39810909e+00]\n", + "Eigen vectors: [[ 0.04575816 -0.32029107 -0.77638665 0.54087299]\n", + " [ 0.17924367 0.01591336 0.56497666 0.80524521]\n", + " [-0.11929887 0.93864685 -0.26107427 0.19118079]\n", + " [-0.97547203 -0.12689556 0.09932456 0.14995489]]\n", + "This is the 39 run out of 162 run.\n", + "The code has run 47.9669 seconds.\n", + "Estimated remaining time: 151.2803 seconds\n", + "(2.0, 350.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 40 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.25421656 6.68459112 -88.61909992 -30.60138864]\n", + " [ 6.68459112 31.36595547 -15.81778278 -164.86906971]\n", + " [ -88.61909992 -15.81778278 258.85557126 76.34263383]\n", + " [ -30.60138864 -164.86906971 76.34263383 899.77659826]]\n", + "Trace: 1221.2523415411317\n", + "Determinant: 184979.52586245077\n", + "Condition number: 1863.3156848542435\n", + "Minimal eigen value: 0.5049297243111703\n", + "Eigen values: [9.40843475e+02 2.78505828e+02 5.04929724e-01 1.39810909e+00]\n", + "Eigen vectors: [[ 0.04575816 -0.32029107 -0.77638665 0.54087299]\n", + " [ 0.17924367 0.01591336 0.56497666 0.80524521]\n", + " [-0.11929887 0.93864685 -0.26107427 0.19118079]\n", + " [-0.97547203 -0.12689556 0.09932456 0.14995489]]\n", + "This is the 40 run out of 162 run.\n", + "The code has run 49.1583 seconds.\n", + "Estimated remaining time: 149.9328 seconds\n", + "(2.0, 400.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 41 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.52158843 6.48481199 -86.0456274 -28.87532344]\n", + " [ 6.48481199 29.86381946 -14.92566842 -154.8692371 ]\n", + " [ -86.0456274 -14.92566842 250.53865847 70.10910741]\n", + " [ -28.87532344 -154.8692371 70.10910741 837.96870419]]\n", + "Trace: 1148.8927705492695\n", + "Determinant: 190348.6673254422\n", + "Condition number: 1618.3103657413333\n", + "Minimal eigen value: 0.5417343666379524\n", + "Eigen values: [8.76694341e+02 2.70173245e+02 5.41734367e-01 1.48344999e+00]\n", + "Eigen vectors: [[ 0.04685373 -0.32103947 -0.78212185 0.53199981]\n", + " [ 0.18079203 0.01551727 0.55613272 0.81104245]\n", + " [-0.11992293 0.93825512 -0.26345825 0.18943485]\n", + " [-0.97505767 -0.12794607 0.09793648 0.15264595]]\n", + "This is the 41 run out of 162 run.\n", + "The code has run 50.7380 seconds.\n", + "Estimated remaining time: 149.7388 seconds\n", + "(2.0, 400.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 42 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.52158843 6.48481199 -86.0456274 -28.87532344]\n", + " [ 6.48481199 29.86381946 -14.92566842 -154.8692371 ]\n", + " [ -86.0456274 -14.92566842 250.53865847 70.10910741]\n", + " [ -28.87532344 -154.8692371 70.10910741 837.96870419]]\n", + "Trace: 1148.8927705492695\n", + "Determinant: 190348.6673254422\n", + "Condition number: 1618.3103657413333\n", + "Minimal eigen value: 0.5417343666379524\n", + "Eigen values: [8.76694341e+02 2.70173245e+02 5.41734367e-01 1.48344999e+00]\n", + "Eigen vectors: [[ 0.04685373 -0.32103947 -0.78212185 0.53199981]\n", + " [ 0.18079203 0.01551727 0.55613272 0.81104245]\n", + " [-0.11992293 0.93825512 -0.26345825 0.18943485]\n", + " [-0.97505767 -0.12794607 0.09793648 0.15264595]]\n", + "This is the 42 run out of 162 run.\n", + "The code has run 52.3724 seconds.\n", + "Estimated remaining time: 149.6355 seconds\n", + "(2.0, 450.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 43 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 30.00498916 6.16520704 -84.49307008 -27.0509224 ]\n", + " [ 6.16520704 28.46235364 -13.98273248 -147.49642699]\n", + " [ -84.49307008 -13.98273248 246.19200008 65.05640169]\n", + " [ -27.0509224 -147.49642699 65.05640169 800.46076995]]\n", + "Trace: 1105.1201128212274\n", + "Determinant: 191117.7507506111\n", + "Condition number: 1503.7114051925557\n", + "Minimal eigen value: 0.5565662145256329\n", + "Eigen values: [8.36914965e+02 2.66106715e+02 5.56566215e-01 1.54186738e+00]\n", + "Eigen vectors: [[ 0.04646642 -0.32098546 -0.77977639 0.53549788]\n", + " [ 0.18034719 0.01490153 0.55988332 0.8085688 ]\n", + " [-0.11833093 0.93849369 -0.26236422 0.19076794]\n", + " [-0.97535304 -0.1263957 0.09820625 0.1518753 ]]\n", + "This is the 43 run out of 162 run.\n", + "The code has run 53.7549 seconds.\n", + "Estimated remaining time: 148.7636 seconds\n", + "(2.0, 450.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 44 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.00498916 6.16520704 -84.49307008 -27.0509224 ]\n", + " [ 6.16520704 28.46235364 -13.98273248 -147.49642699]\n", + " [ -84.49307008 -13.98273248 246.19200008 65.05640169]\n", + " [ -27.0509224 -147.49642699 65.05640169 800.46076995]]\n", + "Trace: 1105.1201128212274\n", + "Determinant: 191117.7507506111\n", + "Condition number: 1503.7114051925557\n", + "Minimal eigen value: 0.5565662145256329\n", + "Eigen values: [8.36914965e+02 2.66106715e+02 5.56566215e-01 1.54186738e+00]\n", + "Eigen vectors: [[ 0.04646642 -0.32098546 -0.77977639 0.53549788]\n", + " [ 0.18034719 0.01490153 0.55988332 0.8085688 ]\n", + " [-0.11833093 0.93849369 -0.26236422 0.19076794]\n", + " [-0.97535304 -0.1263957 0.09820625 0.1518753 ]]\n", + "This is the 44 run out of 162 run.\n", + "The code has run 55.1791 seconds.\n", + "Estimated remaining time: 147.9803 seconds\n", + "(2.0, 500.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 45 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.66284896 5.98404272 -83.57738856 -26.09248409]\n", + " [ 5.98404272 27.73909098 -13.48736761 -144.05292682]\n", + " [ -83.57738856 -13.48736761 243.90609069 62.63421243]\n", + " [ -26.09248409 -144.05292682 62.63421243 784.67652325]]\n", + "Trace: 1085.9845538731117\n", + "Determinant: 188639.4615552581\n", + "Condition number: 1474.5971888051029\n", + "Minimal eigen value: 0.5560520631753989\n", + "Eigen values: [8.19952809e+02 2.63907946e+02 5.56052063e-01 1.56774623e+00]\n", + "Eigen vectors: [[ 0.04594253 -0.320668 -0.77534136 0.54213199]\n", + " [ 0.17974722 0.01448798 0.56676229 0.80390394]\n", + " [-0.11695823 0.93879944 -0.26038706 0.19280809]\n", + " [-0.97565414 -0.12497097 0.09912039 0.15052047]]\n", + "This is the 45 run out of 162 run.\n", + "The code has run 56.5706 seconds.\n", + "Estimated remaining time: 147.0836 seconds\n", + "(2.0, 500.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 46 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.66284896 5.98404272 -83.57738856 -26.09248409]\n", + " [ 5.98404272 27.73909098 -13.48736761 -144.05292682]\n", + " [ -83.57738856 -13.48736761 243.90609069 62.63421243]\n", + " [ -26.09248409 -144.05292682 62.63421243 784.67652325]]\n", + "Trace: 1085.9845538731117\n", + "Determinant: 188639.4615552581\n", + "Condition number: 1474.5971888051029\n", + "Minimal eigen value: 0.5560520631753989\n", + "Eigen values: [8.19952809e+02 2.63907946e+02 5.56052063e-01 1.56774623e+00]\n", + "Eigen vectors: [[ 0.04594253 -0.320668 -0.77534136 0.54213199]\n", + " [ 0.17974722 0.01448798 0.56676229 0.80390394]\n", + " [-0.11695823 0.93879944 -0.26038706 0.19280809]\n", + " [-0.97565414 -0.12497097 0.09912039 0.15052047]]\n", + "This is the 46 run out of 162 run.\n", + "The code has run 57.9253 seconds.\n", + "Estimated remaining time: 146.0725 seconds\n", + "(2.0, 550.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 47 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.43853337 5.88400885 -83.02857374 -25.57526247]\n", + " [ 5.88400885 27.33885875 -13.22004406 -142.29843404]\n", + " [ -83.02857374 -13.22004406 242.65971528 61.40277918]\n", + " [ -25.57526247 -142.29843404 61.40277918 777.31974084]]\n", + "Trace: 1076.7568482418158\n", + "Determinant: 184270.03331003775\n", + "Condition number: 1482.9771752629497\n", + "Minimal eigen value: 0.5475192742598249\n", + "Eigen values: [8.11958587e+02 2.62672744e+02 5.47519274e-01 1.57799787e+00]\n", + "Eigen vectors: [[ 0.04555702 -0.32032998 -0.77104717 0.54845193]\n", + " [ 0.17927984 0.01423111 0.57328314 0.79937641]\n", + " [-0.11606112 0.93904462 -0.25849401 0.19469431]\n", + " [-0.97586532 -0.12402173 0.1000677 0.1493049 ]]\n", + "This is the 47 run out of 162 run.\n", + "The code has run 59.3019 seconds.\n", + "Estimated remaining time: 145.1003 seconds\n", + "(2.0, 550.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 48 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.43853337 5.88400885 -83.02857374 -25.57526247]\n", + " [ 5.88400885 27.33885875 -13.22004406 -142.29843404]\n", + " [ -83.02857374 -13.22004406 242.65971528 61.40277918]\n", + " [ -25.57526247 -142.29843404 61.40277918 777.31974084]]\n", + "Trace: 1076.7568482418158\n", + "Determinant: 184270.03331003775\n", + "Condition number: 1482.9771752629497\n", + "Minimal eigen value: 0.5475192742598249\n", + "Eigen values: [8.11958587e+02 2.62672744e+02 5.47519274e-01 1.57799787e+00]\n", + "Eigen vectors: [[ 0.04555702 -0.32032998 -0.77104717 0.54845193]\n", + " [ 0.17927984 0.01423111 0.57328314 0.79937641]\n", + " [-0.11606112 0.93904462 -0.25849401 0.19469431]\n", + " [-0.97586532 -0.12402173 0.1000677 0.1493049 ]]\n", + "This is the 48 run out of 162 run.\n", + "The code has run 60.7819 seconds.\n", + "Estimated remaining time: 144.3571 seconds\n", + "(2.0, 600.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 49 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.28420938 5.81041218 -82.68034035 -25.22398541]\n", + " [ 5.81041218 27.0727506 -13.03848831 -141.24090865]\n", + " [ -82.68034035 -13.03848831 241.93376245 60.63528154]\n", + " [ -25.22398541 -141.24090865 60.63528154 773.29131813]]\n", + "Trace: 1071.5820405595707\n", + "Determinant: 178758.17326418444\n", + "Condition number: 1505.8326274881686\n", + "Minimal eigen value: 0.5362591366706398\n", + "Eigen values: [8.07516505e+02 2.61953424e+02 5.36259137e-01 1.57585305e+00]\n", + "Eigen vectors: [[ 0.0452283 -0.32004858 -0.76665675 0.55476188]\n", + " [ 0.17890164 0.01407456 0.57977992 0.79476497]\n", + " [-0.11537487 0.93924098 -0.25666067 0.19657139]\n", + " [-0.97603137 -0.12327688 0.10108403 0.14814718]]\n", + "This is the 49 run out of 162 run.\n", + "The code has run 62.1867 seconds.\n", + "Estimated remaining time: 143.4101 seconds\n", + "(2.0, 600.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 50 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 29.28420938 5.81041218 -82.68034035 -25.22398541]\n", + " [ 5.81041218 27.0727506 -13.03848831 -141.24090865]\n", + " [ -82.68034035 -13.03848831 241.93376245 60.63528154]\n", + " [ -25.22398541 -141.24090865 60.63528154 773.29131813]]\n", + "Trace: 1071.5820405595707\n", + "Determinant: 178758.17326418444\n", + "Condition number: 1505.8326274881686\n", + "Minimal eigen value: 0.5362591366706398\n", + "Eigen values: [8.07516505e+02 2.61953424e+02 5.36259137e-01 1.57585305e+00]\n", + "Eigen vectors: [[ 0.0452283 -0.32004858 -0.76665675 0.55476188]\n", + " [ 0.17890164 0.01407456 0.57977992 0.79476497]\n", + " [-0.11537487 0.93924098 -0.25666067 0.19657139]\n", + " [-0.97603137 -0.12327688 0.10108403 0.14814718]]\n", + "This is the 50 run out of 162 run.\n", + "The code has run 63.6075 seconds.\n", + "Estimated remaining time: 142.4807 seconds\n", + "(2.0, 650.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 51 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.16395684 5.73453838 -82.43471072 -24.92041098]\n", + " [ 5.73453838 26.86576638 -12.88158736 -140.5106945 ]\n", + " [ -82.43471072 -12.88158736 241.46714317 60.05450537]\n", + " [ -24.92041098 -140.5106945 60.05450537 770.79396436]]\n", + "Trace: 1068.2908307463383\n", + "Determinant: 172475.9415463406\n", + "Condition number: 1530.546651700559\n", + "Minimal eigen value: 0.5257610786968038\n", + "Eigen values: [8.04701859e+02 2.61504282e+02 5.25761079e-01 1.55892881e+00]\n", + "Eigen vectors: [[ 0.04488407 -0.31981491 -0.76243559 0.56071009]\n", + " [ 0.1785717 0.01400365 0.5858805 0.79035441]\n", + " [-0.11473807 0.93941548 -0.25497866 0.19829175]\n", + " [-0.97618274 -0.1225597 0.10208767 0.14705266]]\n", + "This is the 51 run out of 162 run.\n", + "The code has run 65.0184 seconds.\n", + "Estimated remaining time: 141.5106 seconds\n", + "(2.0, 650.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 52 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.16395684 5.73453838 -82.43471072 -24.92041098]\n", + " [ 5.73453838 26.86576638 -12.88158736 -140.5106945 ]\n", + " [ -82.43471072 -12.88158736 241.46714317 60.05450537]\n", + " [ -24.92041098 -140.5106945 60.05450537 770.79396436]]\n", + "Trace: 1068.2908307463383\n", + "Determinant: 172475.9415463406\n", + "Condition number: 1530.546651700559\n", + "Minimal eigen value: 0.5257610786968038\n", + "Eigen values: [8.04701859e+02 2.61504282e+02 5.25761079e-01 1.55892881e+00]\n", + "Eigen vectors: [[ 0.04488407 -0.31981491 -0.76243559 0.56071009]\n", + " [ 0.1785717 0.01400365 0.5858805 0.79035441]\n", + " [-0.11473807 0.93941548 -0.25497866 0.19829175]\n", + " [-0.97618274 -0.1225597 0.10208767 0.14705266]]\n", + "This is the 52 run out of 162 run.\n", + "The code has run 66.4635 seconds.\n", + "Estimated remaining time: 140.5958 seconds\n", + "(2.0, 700.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 53 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.06110646 5.65571543 -82.24742429 -24.65257981]\n", + " [ 5.65571543 26.70378654 -12.74316009 -140.00114925]\n", + " [ -82.24742429 -12.74316009 241.14514372 59.60445848]\n", + " [ -24.65257981 -140.00114925 59.60445848 769.22388402]]\n", + "Trace: 1066.1339207407643\n", + "Determinant: 166109.9551245936\n", + "Condition number: 1551.1500791407132\n", + "Minimal eigen value: 0.5176066466705693\n", + "Eigen values: [8.02885591e+02 2.61200453e+02 5.17606647e-01 1.53027057e+00]\n", + "Eigen vectors: [[ 0.04454043 -0.31960751 -0.75938699 0.56497663]\n", + " [ 0.1782985 0.01400273 0.59021965 0.78718126]\n", + " [-0.11415988 0.93957357 -0.25377291 0.19942001]\n", + " [-0.9763162 -0.12188714 0.10281766 0.1462147 ]]\n", + "This is the 53 run out of 162 run.\n", + "The code has run 68.0078 seconds.\n", + "Estimated remaining time: 139.8650 seconds\n", + "(2.0, 700.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 54 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.06110646 5.65571543 -82.24742429 -24.65257981]\n", + " [ 5.65571543 26.70378654 -12.74316009 -140.00114925]\n", + " [ -82.24742429 -12.74316009 241.14514372 59.60445848]\n", + " [ -24.65257981 -140.00114925 59.60445848 769.22388402]]\n", + "Trace: 1066.1339207407643\n", + "Determinant: 166109.9551245936\n", + "Condition number: 1551.1500791407132\n", + "Minimal eigen value: 0.5176066466705693\n", + "Eigen values: [8.02885591e+02 2.61200453e+02 5.17606647e-01 1.53027057e+00]\n", + "Eigen vectors: [[ 0.04454043 -0.31960751 -0.75938699 0.56497663]\n", + " [ 0.1782985 0.01400273 0.59021965 0.78718126]\n", + " [-0.11415988 0.93957357 -0.25377291 0.19942001]\n", + " [-0.9763162 -0.12188714 0.10281766 0.1462147 ]]\n", + "This is the 54 run out of 162 run.\n", + "The code has run 69.5511 seconds.\n", + "Estimated remaining time: 139.1022 seconds\n", + "(2.5, 300.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 55 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.31083221 5.87264848 -99.29628105 -26.7996225 ]\n", + " [ 5.87264848 30.93392006 -13.85285176 -166.5344064 ]\n", + " [ -99.29628105 -13.85285176 295.21107649 67.41893929]\n", + " [ -26.7996225 -166.5344064 67.41893929 931.90988887]]\n", + "Trace: 1292.3657176279999\n", + "Determinant: 219116.55598781718\n", + "Condition number: 1975.135565776819\n", + "Minimal eigen value: 0.4912314715447589\n", + "Eigen values: [9.70248750e+02 3.20189921e+02 4.91231472e-01 1.43581425e+00]\n", + "Eigen vectors: [[ 0.040473 -0.31614659 -0.77750088 0.54213066]\n", + " [ 0.17519902 0.01401412 0.56535675 0.80590362]\n", + " [-0.10721007 0.94175271 -0.25765221 0.18767837]\n", + " [-0.97784111 -0.11382781 0.09736251 0.14625502]]\n", + "This is the 55 run out of 162 run.\n", + "The code has run 70.8270 seconds.\n", + "Estimated remaining time: 137.7908 seconds\n", + "(2.5, 300.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 56 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.31083221 5.87264848 -99.29628105 -26.7996225 ]\n", + " [ 5.87264848 30.93392006 -13.85285176 -166.5344064 ]\n", + " [ -99.29628105 -13.85285176 295.21107649 67.41893929]\n", + " [ -26.7996225 -166.5344064 67.41893929 931.90988887]]\n", + "Trace: 1292.3657176279999\n", + "Determinant: 219116.55598781718\n", + "Condition number: 1975.135565776819\n", + "Minimal eigen value: 0.4912314715447589\n", + "Eigen values: [9.70248750e+02 3.20189921e+02 4.91231472e-01 1.43581425e+00]\n", + "Eigen vectors: [[ 0.040473 -0.31614659 -0.77750088 0.54213066]\n", + " [ 0.17519902 0.01401412 0.56535675 0.80590362]\n", + " [-0.10721007 0.94175271 -0.25765221 0.18767837]\n", + " [-0.97784111 -0.11382781 0.09736251 0.14625502]]\n", + "This is the 56 run out of 162 run.\n", + "The code has run 72.0165 seconds.\n", + "Estimated remaining time: 136.3170 seconds\n", + "(2.5, 350.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 57 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 32.70281635 7.40014384 -92.49042399 -34.3012973 ]\n", + " [ 7.40014384 34.15404584 -17.73006791 -179.28546343]\n", + " [ -92.49042399 -17.73006791 269.20152757 86.23048708]\n", + " [ -34.3012973 -179.28546343 86.23048708 974.3195219 ]]\n", + "Trace: 1310.3779116577584\n", + "Determinant: 212667.62255371246\n", + "Condition number: 1980.140754134136\n", + "Minimal eigen value: 0.5150288667373343\n", + "Eigen values: [1.01982965e+03 2.88630420e+02 5.15028867e-01 1.40281393e+00]\n", + "Eigen vectors: [[ 0.04665874 -0.32111655 -0.77619183 0.54058613]\n", + " [ 0.17988432 0.01666262 0.56474405 0.80525036]\n", + " [-0.12200129 0.93797321 -0.26196245 0.19156621]\n", + " [-0.97497707 -0.12966406 0.09983027 0.15046883]]\n", + "This is the 57 run out of 162 run.\n", + "The code has run 73.2377 seconds.\n", + "Estimated remaining time: 134.9115 seconds\n", + "(2.5, 350.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 58 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.70281635 7.40014384 -92.49042399 -34.3012973 ]\n", + " [ 7.40014384 34.15404584 -17.73006791 -179.28546343]\n", + " [ -92.49042399 -17.73006791 269.20152757 86.23048708]\n", + " [ -34.3012973 -179.28546343 86.23048708 974.3195219 ]]\n", + "Trace: 1310.3779116577584\n", + "Determinant: 212667.62255371246\n", + "Condition number: 1980.140754134136\n", + "Minimal eigen value: 0.5150288667373343\n", + "Eigen values: [1.01982965e+03 2.88630420e+02 5.15028867e-01 1.40281393e+00]\n", + "Eigen vectors: [[ 0.04665874 -0.32111655 -0.77619183 0.54058613]\n", + " [ 0.17988432 0.01666262 0.56474405 0.80525036]\n", + " [-0.12200129 0.93797321 -0.26196245 0.19156621]\n", + " [-0.97497707 -0.12966406 0.09983027 0.15046883]]\n", + "This is the 58 run out of 162 run.\n", + "The code has run 74.4313 seconds.\n", + "Estimated remaining time: 133.4629 seconds\n", + "(2.5, 400.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 59 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.55808488 7.08798895 -88.46937314 -31.60432037]\n", + " [ 7.08798895 31.80695831 -16.33613916 -163.66072489]\n", + " [ -88.46937314 -16.33613916 256.20635122 76.49060178]\n", + " [ -31.60432037 -163.66072489 76.49060178 877.74468706]]\n", + "Trace: 1197.3160814605867\n", + "Determinant: 221799.0883115981\n", + "Condition number: 1608.3235339216812\n", + "Minimal eigen value: 0.5717813344410629\n", + "Eigen values: [9.19609376e+02 2.75604399e+02 5.71781334e-01 1.53052436e+00]\n", + "Eigen vectors: [[ 0.04840947 -0.32227626 -0.78433046 0.52784492]\n", + " [ 0.18225901 0.01616051 0.55206779 0.81347504]\n", + " [-0.12327976 0.93731565 -0.26545069 0.18914917]\n", + " [-0.97428963 -0.13159113 0.09789184 0.15446904]]\n", + "This is the 59 run out of 162 run.\n", + "The code has run 75.7845 seconds.\n", + "Estimated remaining time: 132.3017 seconds\n", + "(2.5, 400.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 60 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.55808488 7.08798895 -88.46937314 -31.60432037]\n", + " [ 7.08798895 31.80695831 -16.33613916 -163.66072489]\n", + " [ -88.46937314 -16.33613916 256.20635122 76.49060178]\n", + " [ -31.60432037 -163.66072489 76.49060178 877.74468706]]\n", + "Trace: 1197.3160814605867\n", + "Determinant: 221799.0883115981\n", + "Condition number: 1608.3235339216812\n", + "Minimal eigen value: 0.5717813344410629\n", + "Eigen values: [9.19609376e+02 2.75604399e+02 5.71781334e-01 1.53052436e+00]\n", + "Eigen vectors: [[ 0.04840947 -0.32227626 -0.78433046 0.52784492]\n", + " [ 0.18225901 0.01616051 0.55206779 0.81347504]\n", + " [-0.12327976 0.93731565 -0.26545069 0.18914917]\n", + " [-0.97428963 -0.13159113 0.09789184 0.15446904]]\n", + "This is the 60 run out of 162 run.\n", + "The code has run 77.1258 seconds.\n", + "Estimated remaining time: 131.1138 seconds\n", + "(2.5, 450.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 61 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.75089853 6.58860624 -86.04350238 -28.75369385]\n", + " [ 6.58860624 29.61716799 -14.86280184 -152.14070917]\n", + " [ -86.04350238 -14.86280184 249.41469763 68.59574941]\n", + " [ -28.75369385 -152.14070917 68.59574941 819.13854015]]\n", + "Trace: 1128.9213042948234\n", + "Determinant: 223199.08519825267\n", + "Condition number: 1439.2001464010648\n", + "Minimal eigen value: 0.5957771989533247\n", + "Eigen values: [8.57442632e+02 2.69260221e+02 5.95777199e-01 1.62267394e+00]\n", + "Eigen vectors: [[ 0.04796256 -0.32221079 -0.78113541 0.53264179]\n", + " [ 0.18168784 0.0152626 0.55724216 0.81008503]\n", + " [-0.12118885 0.93763158 -0.26392306 0.19106254]\n", + " [-0.97468066 -0.12959272 0.09825105 0.15346033]]\n", + "This is the 61 run out of 162 run.\n", + "The code has run 78.4373 seconds.\n", + "Estimated remaining time: 129.8716 seconds\n", + "(2.5, 450.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 62 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.75089853 6.58860624 -86.04350238 -28.75369385]\n", + " [ 6.58860624 29.61716799 -14.86280184 -152.14070917]\n", + " [ -86.04350238 -14.86280184 249.41469763 68.59574941]\n", + " [ -28.75369385 -152.14070917 68.59574941 819.13854015]]\n", + "Trace: 1128.9213042948234\n", + "Determinant: 223199.08519825267\n", + "Condition number: 1439.2001464010648\n", + "Minimal eigen value: 0.5957771989533247\n", + "Eigen values: [8.57442632e+02 2.69260221e+02 5.95777199e-01 1.62267394e+00]\n", + "Eigen vectors: [[ 0.04796256 -0.32221079 -0.78113541 0.53264179]\n", + " [ 0.18168784 0.0152626 0.55724216 0.81008503]\n", + " [-0.12118885 0.93763158 -0.26392306 0.19106254]\n", + " [-0.97468066 -0.12959272 0.09825105 0.15346033]]\n", + "This is the 62 run out of 162 run.\n", + "The code has run 79.8529 seconds.\n", + "Estimated remaining time: 128.7951 seconds\n", + "(2.5, 500.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 63 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.21630446 6.30553697 -84.61274999 -27.25613395]\n", + " [ 6.30553697 28.48707009 -14.0887942 -146.76024017]\n", + " [ -84.61274999 -14.0887942 245.84296418 64.81107863]\n", + " [ -27.25613395 -146.76024017 64.81107863 794.47565471]]\n", + "Trace: 1099.0219934376676\n", + "Determinant: 219046.7635612996\n", + "Condition number: 1395.1046514756501\n", + "Minimal eigen value: 0.5956039117841725\n", + "Eigen values: [8.30929788e+02 2.65831624e+02 5.95603912e-01 1.66497734e+00]\n", + "Eigen vectors: [[ 0.0472128 -0.32173526 -0.77481095 0.54214884]\n", + " [ 0.18080651 0.01462813 0.56710945 0.80341888]\n", + " [-0.11919796 0.93808696 -0.26104596 0.19400955]\n", + " [-0.97512656 -0.12753546 0.09954834 0.15150258]]\n", + "This is the 63 run out of 162 run.\n", + "The code has run 81.1966 seconds.\n", + "Estimated remaining time: 127.5946 seconds\n", + "(2.5, 500.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 64 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 30.21630446 6.30553697 -84.61274999 -27.25613395]\n", + " [ 6.30553697 28.48707009 -14.0887942 -146.76024017]\n", + " [ -84.61274999 -14.0887942 245.84296418 64.81107863]\n", + " [ -27.25613395 -146.76024017 64.81107863 794.47565471]]\n", + "Trace: 1099.0219934376676\n", + "Determinant: 219046.7635612996\n", + "Condition number: 1395.1046514756501\n", + "Minimal eigen value: 0.5956039117841725\n", + "Eigen values: [8.30929788e+02 2.65831624e+02 5.95603912e-01 1.66497734e+00]\n", + "Eigen vectors: [[ 0.0472128 -0.32173526 -0.77481095 0.54214884]\n", + " [ 0.18080651 0.01462813 0.56710945 0.80341888]\n", + " [-0.11919796 0.93808696 -0.26104596 0.19400955]\n", + " [-0.97512656 -0.12753546 0.09954834 0.15150258]]\n", + "This is the 64 run out of 162 run.\n", + "The code has run 82.5312 seconds.\n", + "Estimated remaining time: 126.3759 seconds\n", + "(2.5, 550.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 65 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.86581136 6.14923404 -83.75522684 -26.44797517]\n", + " [ 6.14923404 27.86170723 -13.67110116 -144.0188452 ]\n", + " [ -83.75522684 -13.67110116 243.8955026 62.88696419]\n", + " [ -26.44797517 -144.0188452 62.88696419 782.9806822 ]]\n", + "Trace: 1084.6037033913724\n", + "Determinant: 211683.9981405787\n", + "Condition number: 1404.9139458158472\n", + "Minimal eigen value: 0.582550713260004\n", + "Eigen values: [8.18433621e+02 2.63905156e+02 5.82550713e-01 1.68237557e+00]\n", + "Eigen vectors: [[ 0.04663765 -0.32121979 -0.76862987 0.55122672]\n", + " [ 0.18009867 0.01422632 0.57647713 0.79689159]\n", + " [-0.11785344 0.93846161 -0.25826985 0.19671566]\n", + " [-0.9754486 -0.12611605 0.10089067 0.14971924]]\n", + "This is the 65 run out of 162 run.\n", + "The code has run 83.8911 seconds.\n", + "Estimated remaining time: 125.1913 seconds\n", + "(2.5, 550.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 66 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.86581136 6.14923404 -83.75522684 -26.44797517]\n", + " [ 6.14923404 27.86170723 -13.67110116 -144.0188452 ]\n", + " [ -83.75522684 -13.67110116 243.8955026 62.88696419]\n", + " [ -26.44797517 -144.0188452 62.88696419 782.9806822 ]]\n", + "Trace: 1084.6037033913724\n", + "Determinant: 211683.9981405787\n", + "Condition number: 1404.9139458158472\n", + "Minimal eigen value: 0.582550713260004\n", + "Eigen values: [8.18433621e+02 2.63905156e+02 5.82550713e-01 1.68237557e+00]\n", + "Eigen vectors: [[ 0.04663765 -0.32121979 -0.76862987 0.55122672]\n", + " [ 0.18009867 0.01422632 0.57647713 0.79689159]\n", + " [-0.11785344 0.93846161 -0.25826985 0.19671566]\n", + " [-0.9754486 -0.12611605 0.10089067 0.14971924]]\n", + "This is the 66 run out of 162 run.\n", + "The code has run 85.2672 seconds.\n", + "Estimated remaining time: 124.0250 seconds\n", + "(2.5, 600.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 67 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.62468012 6.03423925 -83.21111217 -25.89910476]\n", + " [ 6.03423925 27.44591324 -13.38742029 -142.36646178]\n", + " [ -83.21111217 -13.38742029 242.7612013 61.68774912]\n", + " [ -25.89910476 -142.36646178 61.68774912 776.68627174]]\n", + "Trace: 1076.5180664020631\n", + "Determinant: 202415.6569987658\n", + "Condition number: 1436.3383702542444\n", + "Minimal eigen value: 0.5649710487513734\n", + "Eigen values: [8.11489595e+02 2.62783393e+02 5.64971049e-01 1.68010737e+00]\n", + "Eigen vectors: [[ 0.04613685 -0.32078757 -0.76226121 0.56028973]\n", + " [ 0.17951788 0.01397906 0.58580552 0.79019606]\n", + " [-0.11680698 0.93876493 -0.25557325 0.19939622]\n", + " [-0.97570531 -0.12498131 0.10233312 0.1480093 ]]\n", + "This is the 67 run out of 162 run.\n", + "The code has run 86.6768 seconds.\n", + "Estimated remaining time: 122.9000 seconds\n", + "(2.5, 600.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 68 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.62468012 6.03423925 -83.21111217 -25.89910476]\n", + " [ 6.03423925 27.44591324 -13.38742029 -142.36646178]\n", + " [ -83.21111217 -13.38742029 242.7612013 61.68774912]\n", + " [ -25.89910476 -142.36646178 61.68774912 776.68627174]]\n", + "Trace: 1076.5180664020631\n", + "Determinant: 202415.6569987658\n", + "Condition number: 1436.3383702542444\n", + "Minimal eigen value: 0.5649710487513734\n", + "Eigen values: [8.11489595e+02 2.62783393e+02 5.64971049e-01 1.68010737e+00]\n", + "Eigen vectors: [[ 0.04613685 -0.32078757 -0.76226121 0.56028973]\n", + " [ 0.17951788 0.01397906 0.58580552 0.79019606]\n", + " [-0.11680698 0.93876493 -0.25557325 0.19939622]\n", + " [-0.97570531 -0.12498131 0.10233312 0.1480093 ]]\n", + "This is the 68 run out of 162 run.\n", + "The code has run 88.0671 seconds.\n", + "Estimated remaining time: 121.7398 seconds\n", + "(2.5, 650.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 69 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.43678553 5.91568643 -82.82731586 -25.4247697 ]\n", + " [ 5.91568643 27.12250039 -13.14226256 -141.22550217]\n", + " [ -82.82731586 -13.14226256 242.03210867 60.78028635]\n", + " [ -25.4247697 -141.22550217 60.78028635 772.78415647]]\n", + "Trace: 1071.375551053092\n", + "Determinant: 191937.53934280388\n", + "Condition number: 1471.700117663225\n", + "Minimal eigen value: 0.5484060967518005\n", + "Eigen values: [8.07089317e+02 2.62083213e+02 5.48406097e-01 1.65461457e+00]\n", + "Eigen vectors: [[ 0.04560588 -0.32042744 -0.75599497 0.56896218]\n", + " [ 0.17900731 0.01386541 0.59469481 0.78364674]\n", + " [-0.11582536 0.93903609 -0.25305826 0.20188421]\n", + " [-0.97594107 -0.12387588 0.10378441 0.14636459]]\n", + "This is the 69 run out of 162 run.\n", + "The code has run 89.5954 seconds.\n", + "Estimated remaining time: 120.7590 seconds\n", + "(2.5, 650.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 70 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.43678553 5.91568643 -82.82731586 -25.4247697 ]\n", + " [ 5.91568643 27.12250039 -13.14226256 -141.22550217]\n", + " [ -82.82731586 -13.14226256 242.03210867 60.78028635]\n", + " [ -25.4247697 -141.22550217 60.78028635 772.78415647]]\n", + "Trace: 1071.375551053092\n", + "Determinant: 191937.53934280388\n", + "Condition number: 1471.700117663225\n", + "Minimal eigen value: 0.5484060967518005\n", + "Eigen values: [8.07089317e+02 2.62083213e+02 5.48406097e-01 1.65461457e+00]\n", + "Eigen vectors: [[ 0.04560588 -0.32042744 -0.75599497 0.56896218]\n", + " [ 0.17900731 0.01386541 0.59469481 0.78364674]\n", + " [-0.11582536 0.93903609 -0.25305826 0.20188421]\n", + " [-0.97594107 -0.12387588 0.10378441 0.14636459]]\n", + "This is the 70 run out of 162 run.\n", + "The code has run 91.0167 seconds.\n", + "Estimated remaining time: 119.6219 seconds\n", + "(2.5, 700.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 71 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 29.27608182 5.79252557 -82.53468084 -25.00628352]\n", + " [ 5.79252557 26.86940689 -12.92596997 -140.42933771]\n", + " [ -82.53468084 -12.92596997 241.52898456 60.07708813]\n", + " [ -25.00628352 -140.42933771 60.07708813 770.33090596]]\n", + "Trace: 1068.0053792314388\n", + "Determinant: 181450.69474203617\n", + "Condition number: 1501.9556383407423\n", + "Minimal eigen value: 0.5354684063529392\n", + "Eigen values: [8.04249792e+02 2.61609546e+02 5.35468406e-01 1.61057235e+00]\n", + "Eigen vectors: [[ 0.04507237 -0.32010675 -0.75122833 0.57546168]\n", + " [ 0.17858271 0.01386172 0.60130267 0.77868554]\n", + " [-0.11492843 0.93928256 -0.25117499 0.20359482]\n", + " [-0.97614966 -0.12283237 0.10489146 0.14505804]]\n", + "This is the 71 run out of 162 run.\n", + "The code has run 92.4870 seconds.\n", + "Estimated remaining time: 118.5397 seconds\n", + "(2.5, 700.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 72 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.27608182 5.79252557 -82.53468084 -25.00628352]\n", + " [ 5.79252557 26.86940689 -12.92596997 -140.42933771]\n", + " [ -82.53468084 -12.92596997 241.52898456 60.07708813]\n", + " [ -25.00628352 -140.42933771 60.07708813 770.33090596]]\n", + "Trace: 1068.0053792314388\n", + "Determinant: 181450.69474203617\n", + "Condition number: 1501.9556383407423\n", + "Minimal eigen value: 0.5354684063529392\n", + "Eigen values: [8.04249792e+02 2.61609546e+02 5.35468406e-01 1.61057235e+00]\n", + "Eigen vectors: [[ 0.04507237 -0.32010675 -0.75122833 0.57546168]\n", + " [ 0.17858271 0.01386172 0.60130267 0.77868554]\n", + " [-0.11492843 0.93928256 -0.25117499 0.20359482]\n", + " [-0.97614966 -0.12283237 0.10489146 0.14505804]]\n", + "This is the 72 run out of 162 run.\n", + "The code has run 94.0331 seconds.\n", + "Estimated remaining time: 117.5413 seconds\n", + "(3.0, 300.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 73 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.78887004 6.07511496 -107.02247647 -28.02099618]\n", + " [ 6.07511496 32.92473073 -14.48411404 -178.54397808]\n", + " [-107.02247647 -14.48411404 319.30033573 71.22701223]\n", + " [ -28.02099618 -178.54397808 71.22701223 1004.35766813]]\n", + "Trace: 1393.3716046215663\n", + "Determinant: 259404.79249873152\n", + "Condition number: 2117.757640376852\n", + "Minimal eigen value: 0.49343292348975076\n", + "Eigen values: [1.04497134e+03 3.46454720e+02 4.93432923e-01 1.45210830e+00]\n", + "Eigen vectors: [[ 0.0394186 -0.31528763 -0.77789543 0.54214258]\n", + " [ 0.17432484 0.0139462 0.56510132 0.80627343]\n", + " [-0.10531109 0.94230095 -0.25714335 0.18669704]\n", + " [-0.9782467 -0.11166076 0.09703861 0.14542622]]\n", + "This is the 73 run out of 162 run.\n", + "The code has run 95.2204 seconds.\n", + "Estimated remaining time: 116.0906 seconds\n", + "(3.0, 300.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 74 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.78887004 6.07511496 -107.02247647 -28.02099618]\n", + " [ 6.07511496 32.92473073 -14.48411404 -178.54397808]\n", + " [-107.02247647 -14.48411404 319.30033573 71.22701223]\n", + " [ -28.02099618 -178.54397808 71.22701223 1004.35766813]]\n", + "Trace: 1393.3716046215663\n", + "Determinant: 259404.79249873152\n", + "Condition number: 2117.757640376852\n", + "Minimal eigen value: 0.49343292348975076\n", + "Eigen values: [1.04497134e+03 3.46454720e+02 4.93432923e-01 1.45210830e+00]\n", + "Eigen vectors: [[ 0.0394186 -0.31528763 -0.77789543 0.54214258]\n", + " [ 0.17432484 0.0139462 0.56510132 0.80627343]\n", + " [-0.10531109 0.94230095 -0.25714335 0.18669704]\n", + " [-0.9782467 -0.11166076 0.09703861 0.14542622]]\n", + "This is the 74 run out of 162 run.\n", + "The code has run 96.4109 seconds.\n", + "Estimated remaining time: 114.6508 seconds\n", + "(3.0, 350.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 75 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.47332719 8.27470828 -97.22204231 -38.8234079 ]\n", + " [ 8.27470828 37.56171186 -20.06730529 -196.9055002 ]\n", + " [ -97.22204231 -20.06730529 281.84658528 98.31564105]\n", + " [ -38.8234079 -196.9055002 98.31564105 1065.42753969]]\n", + "Trace: 1419.3091640169005\n", + "Determinant: 248947.0165905633\n", + "Condition number: 2121.25846562084\n", + "Minimal eigen value: 0.5262832514343758\n", + "Eigen values: [1.11638280e+03 3.00992350e+02 5.26283251e-01 1.40772810e+00]\n", + "Eigen vectors: [[ 0.04755314 -0.32206577 -0.77580529 0.54049837]\n", + " [ 0.18054388 0.0174534 0.56472719 0.80509781]\n", + " [-0.1246826 0.9372505 -0.26292016 0.19206442]\n", + " [-0.9744726 -0.13240286 0.10041086 0.15096452]]\n", + "This is the 75 run out of 162 run.\n", + "The code has run 97.6042 seconds.\n", + "Estimated remaining time: 113.2209 seconds\n", + "(3.0, 350.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 76 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.47332719 8.27470828 -97.22204231 -38.8234079 ]\n", + " [ 8.27470828 37.56171186 -20.06730529 -196.9055002 ]\n", + " [ -97.22204231 -20.06730529 281.84658528 98.31564105]\n", + " [ -38.8234079 -196.9055002 98.31564105 1065.42753969]]\n", + "Trace: 1419.3091640169005\n", + "Determinant: 248947.0165905633\n", + "Condition number: 2121.25846562084\n", + "Minimal eigen value: 0.5262832514343758\n", + "Eigen values: [1.11638280e+03 3.00992350e+02 5.26283251e-01 1.40772810e+00]\n", + "Eigen vectors: [[ 0.04755314 -0.32206577 -0.77580529 0.54049837]\n", + " [ 0.18054388 0.0174534 0.56472719 0.80509781]\n", + " [-0.1246826 0.9372505 -0.26292016 0.19206442]\n", + " [-0.9744726 -0.13240286 0.10041086 0.15096452]]\n", + "This is the 76 run out of 162 run.\n", + "The code has run 98.9418 seconds.\n", + "Estimated remaining time: 111.9604 seconds\n", + "(3.0, 400.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 77 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.82491387 7.82520522 -91.43172903 -34.93976104]\n", + " [ 7.82520522 34.18190578 -18.06004783 -174.4058766 ]\n", + " [ -91.43172903 -18.06004783 263.13353122 84.29020596]\n", + " [ -34.93976104 -174.4058766 84.29020596 926.35977707]]\n", + "Trace: 1256.5001279448131\n", + "Determinant: 263402.56815271225\n", + "Condition number: 1602.2755769906482\n", + "Minimal eigen value: 0.6066922513316659\n", + "Eigen values: [9.72088177e+02 2.82222721e+02 6.06692251e-01 1.58253717e+00]\n", + "Eigen vectors: [[ 0.05009398 -0.32372401 -0.78629932 0.52385755]\n", + " [ 0.18387427 0.01689333 0.54820737 0.81570432]\n", + " [-0.12688016 0.93624622 -0.26759042 0.18904978]\n", + " [-0.97343838 -0.13550056 0.09796643 0.15639663]]\n", + "This is the 77 run out of 162 run.\n", + "The code has run 100.3246 seconds.\n", + "Estimated remaining time: 110.7479 seconds\n", + "(3.0, 400.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 78 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 32.82491387 7.82520522 -91.43172903 -34.93976104]\n", + " [ 7.82520522 34.18190578 -18.06004783 -174.4058766 ]\n", + " [ -91.43172903 -18.06004783 263.13353122 84.29020596]\n", + " [ -34.93976104 -174.4058766 84.29020596 926.35977707]]\n", + "Trace: 1256.5001279448131\n", + "Determinant: 263402.56815271225\n", + "Condition number: 1602.2755769906482\n", + "Minimal eigen value: 0.6066922513316659\n", + "Eigen values: [9.72088177e+02 2.82222721e+02 6.06692251e-01 1.58253717e+00]\n", + "Eigen vectors: [[ 0.05009398 -0.32372401 -0.78629932 0.52385755]\n", + " [ 0.18387427 0.01689333 0.54820737 0.81570432]\n", + " [-0.12688016 0.93624622 -0.26759042 0.18904978]\n", + " [-0.97343838 -0.13550056 0.09796643 0.15639663]]\n", + "This is the 78 run out of 162 run.\n", + "The code has run 101.6813 seconds.\n", + "Estimated remaining time: 109.5029 seconds\n", + "(3.0, 450.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 79 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.66256554 7.10609412 -87.93847517 -30.83485889]\n", + " [ 7.10609412 31.02860775 -15.93844213 -157.81705407]\n", + " [ -87.93847517 -15.93844213 253.35355014 72.92161876]\n", + " [ -30.83485889 -157.81705407 72.92161876 841.966926 ]]\n", + "Trace: 1158.0116494264157\n", + "Determinant: 265767.57867752825\n", + "Condition number: 1373.6079632065182\n", + "Minimal eigen value: 0.6425068540890994\n", + "Eigen values: [8.82552531e+02 2.73100438e+02 6.42506854e-01 1.71617383e+00]\n", + "Eigen vectors: [[ 0.04968492 -0.32366053 -0.78237349 0.52978014]\n", + " [ 0.18324022 0.01570183 0.55464809 0.81150599]\n", + " [-0.12445593 0.9366119 -0.26566125 0.19155411]\n", + " [-0.97389176 -0.13324966 0.09839367 0.1552355 ]]\n", + "This is the 79 run out of 162 run.\n", + "The code has run 103.1048 seconds.\n", + "Estimated remaining time: 108.3252 seconds\n", + "(3.0, 450.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 80 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.66256554 7.10609412 -87.93847517 -30.83485889]\n", + " [ 7.10609412 31.02860775 -15.93844213 -157.81705407]\n", + " [ -87.93847517 -15.93844213 253.35355014 72.92161876]\n", + " [ -30.83485889 -157.81705407 72.92161876 841.966926 ]]\n", + "Trace: 1158.0116494264157\n", + "Determinant: 265767.57867752825\n", + "Condition number: 1373.6079632065182\n", + "Minimal eigen value: 0.6425068540890994\n", + "Eigen values: [8.82552531e+02 2.73100438e+02 6.42506854e-01 1.71617383e+00]\n", + "Eigen vectors: [[ 0.04968492 -0.32366053 -0.78237349 0.52978014]\n", + " [ 0.18324022 0.01570183 0.55464809 0.81150599]\n", + " [-0.12445593 0.9366119 -0.26566125 0.19155411]\n", + " [-0.97389176 -0.13324966 0.09839367 0.1552355 ]]\n", + "This is the 80 run out of 162 run.\n", + "The code has run 104.4539 seconds.\n", + "Estimated remaining time: 107.0653 seconds\n", + "(3.0, 500.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 81 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.89275008 6.69847439 -85.87819175 -28.67837266]\n", + " [ 6.69847439 29.40126677 -14.82387115 -150.06917871]\n", + " [ -85.87819175 -14.82387115 248.210254 67.4716929 ]\n", + " [ -28.67837266 -150.06917871 67.4716929 806.45237096]]\n", + "Trace: 1114.9566418120737\n", + "Determinant: 259295.44468122924\n", + "Condition number: 1312.5340626707155\n", + "Minimal eigen value: 0.6433044742163505\n", + "Eigen values: [8.44359035e+02 2.68174245e+02 6.43304474e-01 1.78005776e+00]\n", + "Eigen vectors: [[ 0.04871693 -0.32300943 -0.77416724 0.5421777 ]\n", + " [ 0.18206305 0.0148089 0.56753176 0.80283338]\n", + " [-0.12183745 0.93722982 -0.26183895 0.19543866]\n", + " [-0.97449235 -0.13055984 0.10006575 0.15266182]]\n", + "This is the 81 run out of 162 run.\n", + "The code has run 105.8648 seconds.\n", + "Estimated remaining time: 105.8648 seconds\n", + "(3.0, 500.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 82 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.89275008 6.69847439 -85.87819175 -28.67837266]\n", + " [ 6.69847439 29.40126677 -14.82387115 -150.06917871]\n", + " [ -85.87819175 -14.82387115 248.210254 67.4716929 ]\n", + " [ -28.67837266 -150.06917871 67.4716929 806.45237096]]\n", + "Trace: 1114.9566418120737\n", + "Determinant: 259295.44468122924\n", + "Condition number: 1312.5340626707155\n", + "Minimal eigen value: 0.6433044742163505\n", + "Eigen values: [8.44359035e+02 2.68174245e+02 6.43304474e-01 1.78005776e+00]\n", + "Eigen vectors: [[ 0.04871693 -0.32300943 -0.77416724 0.5421777 ]\n", + " [ 0.18206305 0.0148089 0.56753176 0.80283338]\n", + " [-0.12183745 0.93722982 -0.26183895 0.19543866]\n", + " [-0.97449235 -0.13055984 0.10006575 0.15266182]]\n", + "This is the 82 run out of 162 run.\n", + "The code has run 107.3280 seconds.\n", + "Estimated remaining time: 104.7103 seconds\n", + "(3.0, 550.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 83 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.38804002 6.47339817 -84.6433584 -27.51462402]\n", + " [ 6.47339817 28.50074425 -14.22239317 -146.12156994]\n", + " [ -84.6433584 -14.22239317 245.40590932 64.70096808]\n", + " [ -27.51462402 -146.12156994 64.70096808 789.89961054]]\n", + "Trace: 1094.1943041272043\n", + "Determinant: 247750.52298677372\n", + "Condition number: 1322.1585481935238\n", + "Minimal eigen value: 0.6250051674349029\n", + "Eigen values: [8.26355925e+02 2.65405979e+02 6.25005167e-01 1.80739520e+00]\n", + "Eigen vectors: [[ 0.04793455 -0.32228847 -0.76606069 0.55406086]\n", + " [ 0.18108178 0.01423008 0.57979722 0.79425567]\n", + " [-0.11999735 0.93775464 -0.2581166 0.19897912]\n", + " [-0.97494221 -0.12862302 0.10179398 0.15027242]]\n", + "This is the 83 run out of 162 run.\n", + "The code has run 108.9002 seconds.\n", + "Estimated remaining time: 103.6520 seconds\n", + "(3.0, 550.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 84 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.38804002 6.47339817 -84.6433584 -27.51462402]\n", + " [ 6.47339817 28.50074425 -14.22239317 -146.12156994]\n", + " [ -84.6433584 -14.22239317 245.40590932 64.70096808]\n", + " [ -27.51462402 -146.12156994 64.70096808 789.89961054]]\n", + "Trace: 1094.1943041272043\n", + "Determinant: 247750.52298677372\n", + "Condition number: 1322.1585481935238\n", + "Minimal eigen value: 0.6250051674349029\n", + "Eigen values: [8.26355925e+02 2.65405979e+02 6.25005167e-01 1.80739520e+00]\n", + "Eigen vectors: [[ 0.04793455 -0.32228847 -0.76606069 0.55406086]\n", + " [ 0.18108178 0.01423008 0.57979722 0.79425567]\n", + " [-0.11999735 0.93775464 -0.2581166 0.19897912]\n", + " [-0.97494221 -0.12862302 0.10179398 0.15027242]]\n", + "This is the 84 run out of 162 run.\n", + "The code has run 110.4046 seconds.\n", + "Estimated remaining time: 102.5186 seconds\n", + "(3.0, 600.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 85 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 30.04081103 6.30780567 -83.85983328 -26.72425063]\n", + " [ 6.30780567 27.90200091 -13.81389272 -143.74213782]\n", + " [ -83.85983328 -13.81389272 243.77251546 62.97409839]\n", + " [ -26.72425063 -143.74213782 62.97409839 780.83565947]]\n", + "Trace: 1082.5509868629858\n", + "Determinant: 233249.44652323253\n", + "Condition number: 1361.1345665049146\n", + "Minimal eigen value: 0.5997577130991854\n", + "Eigen values: [8.16350955e+02 2.63794338e+02 5.99757713e-01 1.80593621e+00]\n", + "Eigen vectors: [[ 0.04723544 -0.32167879 -0.7576378 0.5659298 ]\n", + " [ 0.18026288 0.01386971 0.5920096 0.78539006]\n", + " [-0.11853461 0.93818523 -0.25448998 0.20246697]\n", + " [-0.97530695 -0.12703884 0.10365545 0.14796293]]\n", + "This is the 85 run out of 162 run.\n", + "The code has run 111.9122 seconds.\n", + "Estimated remaining time: 101.3793 seconds\n", + "(3.0, 600.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 86 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.04081103 6.30780567 -83.85983328 -26.72425063]\n", + " [ 6.30780567 27.90200091 -13.81389272 -143.74213782]\n", + " [ -83.85983328 -13.81389272 243.77251546 62.97409839]\n", + " [ -26.72425063 -143.74213782 62.97409839 780.83565947]]\n", + "Trace: 1082.5509868629858\n", + "Determinant: 233249.44652323253\n", + "Condition number: 1361.1345665049146\n", + "Minimal eigen value: 0.5997577130991854\n", + "Eigen values: [8.16350955e+02 2.63794338e+02 5.99757713e-01 1.80593621e+00]\n", + "Eigen vectors: [[ 0.04723544 -0.32167879 -0.7576378 0.5659298 ]\n", + " [ 0.18026288 0.01386971 0.5920096 0.78539006]\n", + " [-0.11853461 0.93818523 -0.25448998 0.20246697]\n", + " [-0.97530695 -0.12703884 0.10365545 0.14796293]]\n", + "This is the 86 run out of 162 run.\n", + "The code has run 113.4058 seconds.\n", + "Estimated remaining time: 100.2190 seconds\n", + "(3.0, 650.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 87 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.77024282 6.13708961 -83.3071666 -26.04120816]\n", + " [ 6.13708961 27.4362864 -13.46086559 -142.09915598]\n", + " [ -83.3071666 -13.46086559 242.72262207 61.667352 ]\n", + " [ -26.04120816 -142.09915598 61.667352 775.21661348]]\n", + "Trace: 1075.1457647738398\n", + "Determinant: 216995.60713203996\n", + "Condition number: 1407.0534066169535\n", + "Minimal eigen value: 0.5756785168357853\n", + "Eigen values: [8.10010418e+02 2.62788852e+02 5.75678517e-01 1.77081575e+00]\n", + "Eigen vectors: [[ 0.04648282 -0.32116876 -0.74915178 0.57746133]\n", + " [ 0.17953631 0.01370117 0.60382111 0.77651727]\n", + " [-0.11714427 0.93857304 -0.25105296 0.20574324]\n", + " [-0.97564506 -0.12547332 0.10556558 0.145702 ]]\n", + "This is the 87 run out of 162 run.\n", + "The code has run 114.9530 seconds.\n", + "Estimated remaining time: 99.0975 seconds\n", + "(3.0, 650.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 88 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.77024282 6.13708961 -83.3071666 -26.04120816]\n", + " [ 6.13708961 27.4362864 -13.46086559 -142.09915598]\n", + " [ -83.3071666 -13.46086559 242.72262207 61.667352 ]\n", + " [ -26.04120816 -142.09915598 61.667352 775.21661348]]\n", + "Trace: 1075.1457647738398\n", + "Determinant: 216995.60713203996\n", + "Condition number: 1407.0534066169535\n", + "Minimal eigen value: 0.5756785168357853\n", + "Eigen values: [8.10010418e+02 2.62788852e+02 5.75678517e-01 1.77081575e+00]\n", + "Eigen vectors: [[ 0.04648282 -0.32116876 -0.74915178 0.57746133]\n", + " [ 0.17953631 0.01370117 0.60382111 0.77651727]\n", + " [-0.11714427 0.93857304 -0.25105296 0.20574324]\n", + " [-0.97564506 -0.12547332 0.10556558 0.145702 ]]\n", + "This is the 88 run out of 162 run.\n", + "The code has run 116.4528 seconds.\n", + "Estimated remaining time: 97.9262 seconds\n", + "(3.0, 700.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 89 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.53882947 5.95973797 -82.88577216 -25.43858804]\n", + " [ 5.95973797 27.07183176 -13.14940425 -140.95267917]\n", + " [ -82.88577216 -13.14940425 241.99812336 60.65474656]\n", + " [ -25.43858804 -140.95267917 60.65474656 771.68393275]]\n", + "Trace: 1070.2927173390817\n", + "Determinant: 200944.16798299024\n", + "Condition number: 1447.57068462181\n", + "Minimal eigen value: 0.5567387556544536\n", + "Eigen values: [8.05918702e+02 2.62108634e+02 5.56738756e-01 1.70864323e+00]\n", + "Eigen vectors: [[ 0.04572056 -0.32071284 -0.7423529 0.58648536]\n", + " [ 0.17892883 0.01369196 0.61299069 0.76944098]\n", + " [-0.11586404 0.93892699 -0.24836575 0.20810115]\n", + " [-0.9759455 -0.12398352 0.10709366 0.14383813]]\n", + "This is the 89 run out of 162 run.\n", + "The code has run 117.9202 seconds.\n", + "Estimated remaining time: 96.7211 seconds\n", + "(3.0, 700.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 90 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.53882947 5.95973797 -82.88577216 -25.43858804]\n", + " [ 5.95973797 27.07183176 -13.14940425 -140.95267917]\n", + " [ -82.88577216 -13.14940425 241.99812336 60.65474656]\n", + " [ -25.43858804 -140.95267917 60.65474656 771.68393275]]\n", + "Trace: 1070.2927173390817\n", + "Determinant: 200944.16798299024\n", + "Condition number: 1447.57068462181\n", + "Minimal eigen value: 0.5567387556544536\n", + "Eigen values: [8.05918702e+02 2.62108634e+02 5.56738756e-01 1.70864323e+00]\n", + "Eigen vectors: [[ 0.04572056 -0.32071284 -0.7423529 0.58648536]\n", + " [ 0.17892883 0.01369196 0.61299069 0.76944098]\n", + " [-0.11586404 0.93892699 -0.24836575 0.20810115]\n", + " [-0.9759455 -0.12398352 0.10709366 0.14383813]]\n", + "This is the 90 run out of 162 run.\n", + "The code has run 119.5155 seconds.\n", + "Estimated remaining time: 95.6124 seconds\n", + "(3.5, 300.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 91 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 39.7174602 6.31439353 -116.15343469 -29.4644378 ]\n", + " [ 6.31439353 35.27750697 -15.23015127 -192.73710824]\n", + " [-116.15343469 -15.23015127 347.76946028 75.72746206]\n", + " [ -29.4644378 -192.73710824 75.72746206 1089.97777089]]\n", + "Trace: 1512.7421983402073\n", + "Determinant: 311399.09067781235\n", + "Condition number: 2286.542819651653\n", + "Minimal eigen value: 0.4956344365813532\n", + "Eigen values: [1.13328936e+03 3.77488576e+02 4.95634437e-01 1.46862610e+00]\n", + "Eigen vectors: [[ 0.03835004 -0.31442127 -0.77828842 0.54215835]\n", + " [ 0.17344009 0.01388478 0.56484731 0.80664321]\n", + " [-0.10337977 0.94284961 -0.25663367 0.18570512]\n", + " [-0.97865236 -0.10945814 0.09671514 0.14458445]]\n", + "This is the 91 run out of 162 run.\n", + "The code has run 120.6415 seconds.\n", + "Estimated remaining time: 94.1269 seconds\n", + "(3.5, 300.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 92 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 39.7174602 6.31439353 -116.15343469 -29.4644378 ]\n", + " [ 6.31439353 35.27750697 -15.23015127 -192.73710824]\n", + " [-116.15343469 -15.23015127 347.76946028 75.72746206]\n", + " [ -29.4644378 -192.73710824 75.72746206 1089.97777089]]\n", + "Trace: 1512.7421983402073\n", + "Determinant: 311399.09067781235\n", + "Condition number: 2286.542819651653\n", + "Minimal eigen value: 0.4956344365813532\n", + "Eigen values: [1.13328936e+03 3.77488576e+02 4.95634437e-01 1.46862610e+00]\n", + "Eigen vectors: [[ 0.03835004 -0.31442127 -0.77828842 0.54215835]\n", + " [ 0.17344009 0.01388478 0.56484731 0.80664321]\n", + " [-0.10337977 0.94284961 -0.25663367 0.18570512]\n", + " [-0.97865236 -0.10945814 0.09671514 0.14458445]]\n", + "This is the 92 run out of 162 run.\n", + "The code has run 121.7611 seconds.\n", + "Estimated remaining time: 92.6443 seconds\n", + "(3.5, 350.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 93 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.5657491 9.30828444 -102.81395486 -44.16772042]\n", + " [ 9.30828444 41.58895351 -22.82949492 -217.72918002]\n", + " [-102.81395486 -22.82949492 296.7907444 112.59809575]\n", + " [ -44.16772042 -217.72918002 112.59809575 1173.10065161]]\n", + "Trace: 1548.0460986209075\n", + "Determinant: 295280.74015585403\n", + "Condition number: 2286.0181487108425\n", + "Minimal eigen value: 0.5382748263648286\n", + "Eigen values: [1.23050602e+03 3.15589182e+02 5.38274826e-01 1.41261951e+00]\n", + "Eigen vectors: [[ 0.04839818 -0.32310756 -0.77521185 0.54065303]\n", + " [ 0.18118963 0.01825265 0.56496884 0.80476541]\n", + " [-0.12721352 0.93650897 -0.26390515 0.19267003]\n", + " [-0.97398391 -0.13497885 0.10104885 0.15141065]]\n", + "This is the 93 run out of 162 run.\n", + "The code has run 122.8987 seconds.\n", + "Estimated remaining time: 91.1829 seconds\n", + "(3.5, 350.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 94 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.5657491 9.30828444 -102.81395486 -44.16772042]\n", + " [ 9.30828444 41.58895351 -22.82949492 -217.72918002]\n", + " [-102.81395486 -22.82949492 296.7907444 112.59809575]\n", + " [ -44.16772042 -217.72918002 112.59809575 1173.10065161]]\n", + "Trace: 1548.0460986209075\n", + "Determinant: 295280.74015585403\n", + "Condition number: 2286.0181487108425\n", + "Minimal eigen value: 0.5382748263648286\n", + "Eigen values: [1.23050602e+03 3.15589182e+02 5.38274826e-01 1.41261951e+00]\n", + "Eigen vectors: [[ 0.04839818 -0.32310756 -0.77521185 0.54065303]\n", + " [ 0.18118963 0.01825265 0.56496884 0.80476541]\n", + " [-0.12721352 0.93650897 -0.26390515 0.19267003]\n", + " [-0.97398391 -0.13497885 0.10104885 0.15141065]]\n", + "This is the 94 run out of 162 run.\n", + "The code has run 124.0137 seconds.\n", + "Estimated remaining time: 89.7121 seconds\n", + "(3.5, 400.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 95 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.3220754 8.6964608 -94.93269507 -38.88164545]\n", + " [ 8.6964608 36.98866185 -20.09739441 -187.10469208]\n", + " [ -94.93269507 -20.09739441 271.32019844 93.50791985]\n", + " [ -38.88164545 -187.10469208 93.50791985 983.8139735 ]]\n", + "Trace: 1326.444909189725\n", + "Determinant: 317057.5521865532\n", + "Condition number: 1601.7324036106527\n", + "Minimal eigen value: 0.6456385390230688\n", + "Eigen values: [1.03414017e+03 2.90021762e+02 6.45638539e-01 1.63733921e+00]\n", + "Eigen vectors: [[ 0.05183111 -0.32535143 -0.78785307 0.52033406]\n", + " [ 0.18556983 0.01769387 0.5448494 0.81755116]\n", + " [-0.13055514 0.93508071 -0.26978738 0.18919354]\n", + " [-0.97253932 -0.13948996 0.09819083 0.15832998]]\n", + "This is the 95 run out of 162 run.\n", + "The code has run 125.3029 seconds.\n", + "Estimated remaining time: 88.3715 seconds\n", + "(3.5, 400.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 96 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.3220754 8.6964608 -94.93269507 -38.88164545]\n", + " [ 8.6964608 36.98866185 -20.09739441 -187.10469208]\n", + " [ -94.93269507 -20.09739441 271.32019844 93.50791985]\n", + " [ -38.88164545 -187.10469208 93.50791985 983.8139735 ]]\n", + "Trace: 1326.444909189725\n", + "Determinant: 317057.5521865532\n", + "Condition number: 1601.7324036106527\n", + "Minimal eigen value: 0.6456385390230688\n", + "Eigen values: [1.03414017e+03 2.90021762e+02 6.45638539e-01 1.63733921e+00]\n", + "Eigen vectors: [[ 0.05183111 -0.32535143 -0.78785307 0.52033406]\n", + " [ 0.18556983 0.01769387 0.5448494 0.81755116]\n", + " [-0.13055514 0.93508071 -0.26978738 0.18919354]\n", + " [-0.97253932 -0.13948996 0.09819083 0.15832998]]\n", + "This is the 96 run out of 162 run.\n", + "The code has run 126.6147 seconds.\n", + "Estimated remaining time: 87.0476 seconds\n", + "(3.5, 450.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 97 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.73999019 7.71767073 -90.17798848 -33.29441763]\n", + " [ 7.71767073 32.69667292 -17.20965341 -164.52546167]\n", + " [ -90.17798848 -17.20965341 258.00855769 78.03400986]\n", + " [ -33.29441763 -164.52546167 78.03400986 868.9459274 ]]\n", + "Trace: 1192.3911481973423\n", + "Determinant: 320838.015192606\n", + "Condition number: 1310.4792317939582\n", + "Minimal eigen value: 0.6961225904499246\n", + "Eigen values: [9.12254198e+02 2.77620993e+02 6.96122590e-01 1.81983460e+00]\n", + "Eigen vectors: [[ 0.05158354 -0.32531066 -0.78337796 0.52709685]\n", + " [ 0.18496272 0.01621672 0.55228293 0.81271728]\n", + " [-0.12802873 0.93545287 -0.26752463 0.1922684 ]\n", + " [-0.97300389 -0.13725128 0.09865653 0.15713815]]\n", + "This is the 97 run out of 162 run.\n", + "The code has run 128.0904 seconds.\n", + "Estimated remaining time: 85.8338 seconds\n", + "(3.5, 450.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 98 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.73999019 7.71767073 -90.17798848 -33.29441763]\n", + " [ 7.71767073 32.69667292 -17.20965341 -164.52546167]\n", + " [ -90.17798848 -17.20965341 258.00855769 78.03400986]\n", + " [ -33.29441763 -164.52546167 78.03400986 868.9459274 ]]\n", + "Trace: 1192.3911481973423\n", + "Determinant: 320838.015192606\n", + "Condition number: 1310.4792317939582\n", + "Minimal eigen value: 0.6961225904499246\n", + "Eigen values: [9.12254198e+02 2.77620993e+02 6.96122590e-01 1.81983460e+00]\n", + "Eigen vectors: [[ 0.05158354 -0.32531066 -0.78337796 0.52709685]\n", + " [ 0.18496272 0.01621672 0.55228293 0.81271728]\n", + " [-0.12802873 0.93545287 -0.26752463 0.1922684 ]\n", + " [-0.97300389 -0.13725128 0.09865653 0.15713815]]\n", + "This is the 98 run out of 162 run.\n", + "The code has run 129.4455 seconds.\n", + "Estimated remaining time: 84.5358 seconds\n", + "(3.5, 500.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 99 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 31.69218581 7.16285497 -87.37371372 -30.35920012]\n", + " [ 7.16285497 30.48168103 -15.69259823 -153.97974222]\n", + " [ -87.37371372 -15.69259823 251.00795977 70.61605418]\n", + " [ -30.35920012 -153.97974222 70.61605418 820.60667033]]\n", + "Trace: 1133.7884969451964\n", + "Determinant: 311236.03090905806\n", + "Condition number: 1231.0552044357423\n", + "Minimal eigen value: 0.6987885964935451\n", + "Eigen values: [8.60247339e+02 2.70931367e+02 6.98788596e-01 1.91100329e+00]\n", + "Eigen vectors: [[ 0.05042917 -0.32447447 -0.77341286 0.54222298]\n", + " [ 0.18349645 0.01503459 0.5680281 0.80215154]\n", + " [-0.12482559 0.93623603 -0.26275902 0.19707452]\n", + " [-0.97375794 -0.13398648 0.10066939 0.15397653]]\n", + "This is the 99 run out of 162 run.\n", + "The code has run 130.7976 seconds.\n", + "Estimated remaining time: 83.2349 seconds\n", + "(3.5, 500.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 100 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.69218581 7.16285497 -87.37371372 -30.35920012]\n", + " [ 7.16285497 30.48168103 -15.69259823 -153.97974222]\n", + " [ -87.37371372 -15.69259823 251.00795977 70.61605418]\n", + " [ -30.35920012 -153.97974222 70.61605418 820.60667033]]\n", + "Trace: 1133.7884969451964\n", + "Determinant: 311236.03090905806\n", + "Condition number: 1231.0552044357423\n", + "Minimal eigen value: 0.6987885964935451\n", + "Eigen values: [8.60247339e+02 2.70931367e+02 6.98788596e-01 1.91100329e+00]\n", + "Eigen vectors: [[ 0.05042917 -0.32447447 -0.77341286 0.54222298]\n", + " [ 0.18349645 0.01503459 0.5680281 0.80215154]\n", + " [-0.12482559 0.93623603 -0.26275902 0.19707452]\n", + " [-0.97375794 -0.13398648 0.10066939 0.15397653]]\n", + "This is the 100 run out of 162 run.\n", + "The code has run 132.1533 seconds.\n", + "Estimated remaining time: 81.9350 seconds\n", + "(3.5, 550.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 101 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.00521934 6.85650123 -85.69296843 -28.77520902]\n", + " [ 6.85650123 29.25596982 -14.8739201 -148.60660828]\n", + " [ -85.69296843 -14.8739201 247.19093546 66.84479086]\n", + " [ -28.77520902 -148.60660828 66.84479086 798.07652584]]\n", + "Trace: 1105.528650449711\n", + "Determinant: 294005.94852919155\n", + "Condition number: 1238.6960115595953\n", + "Minimal eigen value: 0.6746854263913779\n", + "Eigen values: [8.35730147e+02 2.67172188e+02 6.74685426e-01 1.95162994e+00]\n", + "Eigen vectors: [[ 0.0494343 -0.3235256 -0.76345123 0.55680307]\n", + " [ 0.1822192 0.01424747 0.58308316 0.79158525]\n", + " [-0.12246692 0.93692714 -0.25806772 0.20142105]\n", + " [-0.97434812 -0.13151324 0.10274873 0.15097251]]\n", + "This is the 101 run out of 162 run.\n", + "The code has run 133.5509 seconds.\n", + "Estimated remaining time: 80.6594 seconds\n", + "(3.5, 550.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 102 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.00521934 6.85650123 -85.69296843 -28.77520902]\n", + " [ 6.85650123 29.25596982 -14.8739201 -148.60660828]\n", + " [ -85.69296843 -14.8739201 247.19093546 66.84479086]\n", + " [ -28.77520902 -148.60660828 66.84479086 798.07652584]]\n", + "Trace: 1105.528650449711\n", + "Determinant: 294005.94852919155\n", + "Condition number: 1238.6960115595953\n", + "Minimal eigen value: 0.6746854263913779\n", + "Eigen values: [8.35730147e+02 2.67172188e+02 6.74685426e-01 1.95162994e+00]\n", + "Eigen vectors: [[ 0.0494343 -0.3235256 -0.76345123 0.55680307]\n", + " [ 0.1822192 0.01424747 0.58308316 0.79158525]\n", + " [-0.12246692 0.93692714 -0.25806772 0.20142105]\n", + " [-0.97434812 -0.13151324 0.10274873 0.15097251]]\n", + "This is the 102 run out of 162 run.\n", + "The code has run 134.9460 seconds.\n", + "Estimated remaining time: 79.3800 seconds\n", + "(3.5, 600.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 103 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.5326021 6.63111144 -84.62650368 -27.69942302]\n", + " [ 6.63111144 28.44101361 -14.31790559 -145.36793678]\n", + " [ -84.62650368 -14.31790559 244.96770492 64.49432934]\n", + " [ -27.69942302 -145.36793678 64.49432934 785.73948133]]\n", + "Trace: 1089.6808019535226\n", + "Determinant: 272410.99410904915\n", + "Condition number: 1283.5532630981627\n", + "Minimal eigen value: 0.6404904869131023\n", + "Eigen values: [8.22103654e+02 2.64984273e+02 6.40490487e-01 1.95238413e+00]\n", + "Eigen vectors: [[ 0.04851718 -0.32271544 -0.7530089 0.57138291]\n", + " [ 0.18113193 0.01375058 0.59808001 0.78057827]\n", + " [-0.12054473 0.93750324 -0.25348335 0.20567651]\n", + " [-0.97483654 -0.12943468 0.10499566 0.14804156]]\n", + "This is the 103 run out of 162 run.\n", + "The code has run 136.3795 seconds.\n", + "Estimated remaining time: 78.1203 seconds\n", + "(3.5, 600.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 104 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.5326021 6.63111144 -84.62650368 -27.69942302]\n", + " [ 6.63111144 28.44101361 -14.31790559 -145.36793678]\n", + " [ -84.62650368 -14.31790559 244.96770492 64.49432934]\n", + " [ -27.69942302 -145.36793678 64.49432934 785.73948133]]\n", + "Trace: 1089.6808019535226\n", + "Determinant: 272410.99410904915\n", + "Condition number: 1283.5532630981627\n", + "Minimal eigen value: 0.6404904869131023\n", + "Eigen values: [8.22103654e+02 2.64984273e+02 6.40490487e-01 1.95238413e+00]\n", + "Eigen vectors: [[ 0.04851718 -0.32271544 -0.7530089 0.57138291]\n", + " [ 0.18113193 0.01375058 0.59808001 0.78057827]\n", + " [-0.12054473 0.93750324 -0.25348335 0.20567651]\n", + " [-0.97483654 -0.12943468 0.10499566 0.14804156]]\n", + "This is the 104 run out of 162 run.\n", + "The code has run 137.9105 seconds.\n", + "Estimated remaining time: 76.9116 seconds\n", + "(3.5, 650.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 105 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.16432871 6.39874791 -83.87426292 -26.76972632]\n", + " [ 6.39874791 27.80712441 -13.83739643 -143.13165594]\n", + " [ -83.87426292 -13.83739643 243.53868336 62.71570231]\n", + " [ -26.76972632 -143.13165594 62.71570231 778.0913354 ]]\n", + "Trace: 1079.601471888402\n", + "Determinant: 248413.1467302102\n", + "Condition number: 1339.1644113924633\n", + "Minimal eigen value: 0.6074436903249106\n", + "Eigen values: [8.13466972e+02 2.63620058e+02 6.07443690e-01 1.90699772e+00]\n", + "Eigen vectors: [[ 0.04751176 -0.32203464 -0.74224154 0.58575918]\n", + " [ 0.18015667 0.01351365 0.61279354 0.76931466]\n", + " [-0.11868894 0.93802677 -0.24907421 0.20971589]\n", + " [-0.97529439 -0.12734541 0.10734809 0.14512199]]\n", + "This is the 105 run out of 162 run.\n", + "The code has run 139.3642 seconds.\n", + "Estimated remaining time: 75.6548 seconds\n", + "(3.5, 650.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 106 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 30.16432871 6.39874791 -83.87426292 -26.76972632]\n", + " [ 6.39874791 27.80712441 -13.83739643 -143.13165594]\n", + " [ -83.87426292 -13.83739643 243.53868336 62.71570231]\n", + " [ -26.76972632 -143.13165594 62.71570231 778.0913354 ]]\n", + "Trace: 1079.601471888402\n", + "Determinant: 248413.1467302102\n", + "Condition number: 1339.1644113924633\n", + "Minimal eigen value: 0.6074436903249106\n", + "Eigen values: [8.13466972e+02 2.63620058e+02 6.07443690e-01 1.90699772e+00]\n", + "Eigen vectors: [[ 0.04751176 -0.32203464 -0.74224154 0.58575918]\n", + " [ 0.18015667 0.01351365 0.61279354 0.76931466]\n", + " [-0.11868894 0.93802677 -0.24907421 0.20971589]\n", + " [-0.97529439 -0.12734541 0.10734809 0.14512199]]\n", + "This is the 106 run out of 162 run.\n", + "The code has run 140.8537 seconds.\n", + "Estimated remaining time: 74.4133 seconds\n", + "(3.5, 700.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 107 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.84934945 6.15735264 -83.3006983 -25.94949342]\n", + " [ 6.15735264 27.31106116 -13.41346297 -141.57117361]\n", + " [ -83.3006983 -13.41346297 242.55256015 61.33743382]\n", + " [ -25.94949342 -141.57117361 61.33743382 773.28296441]]\n", + "Trace: 1072.9959351710581\n", + "Determinant: 225036.58533753204\n", + "Condition number: 1389.9708943774162\n", + "Minimal eigen value: 0.5812303281681005\n", + "Eigen values: [8.07893239e+02 2.62697169e+02 5.81230328e-01 1.82429680e+00]\n", + "Eigen vectors: [[ 0.04648384 -0.32142336 -0.73317849 0.59747433]\n", + " [ 0.17933613 0.01349496 0.6246889 0.75988172]\n", + " [-0.11696451 0.93850693 -0.24548481 0.21274692]\n", + " [-0.97570339 -0.12533816 0.10931739 0.14262871]]\n", + "This is the 107 run out of 162 run.\n", + "The code has run 142.4807 seconds.\n", + "Estimated remaining time: 73.2377 seconds\n", + "(3.5, 700.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 108 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.84934945 6.15735264 -83.3006983 -25.94949342]\n", + " [ 6.15735264 27.31106116 -13.41346297 -141.57117361]\n", + " [ -83.3006983 -13.41346297 242.55256015 61.33743382]\n", + " [ -25.94949342 -141.57117361 61.33743382 773.28296441]]\n", + "Trace: 1072.9959351710581\n", + "Determinant: 225036.58533753204\n", + "Condition number: 1389.9708943774162\n", + "Minimal eigen value: 0.5812303281681005\n", + "Eigen values: [8.07893239e+02 2.62697169e+02 5.81230328e-01 1.82429680e+00]\n", + "Eigen vectors: [[ 0.04648384 -0.32142336 -0.73317849 0.59747433]\n", + " [ 0.17933613 0.01349496 0.6246889 0.75988172]\n", + " [-0.11696451 0.93850693 -0.24548481 0.21274692]\n", + " [-0.97570339 -0.12533816 0.10931739 0.14262871]]\n", + "This is the 108 run out of 162 run.\n", + "The code has run 144.0625 seconds.\n", + "Estimated remaining time: 72.0312 seconds\n", + "(4.0, 300.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 109 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 43.09660269 6.59048419 -126.68915571 -31.12994736]\n", + " [ 6.59048419 37.99224879 -16.09096346 -209.11379689]\n", + " [-126.68915571 -16.09096346 380.61845015 80.9202888 ]\n", + " [ -31.12994736 -209.11379689 80.9202888 1188.77019715]]\n", + "Trace: 1650.4774987836786\n", + "Determinant: 377289.9144015313\n", + "Condition number: 2481.533158401581\n", + "Minimal eigen value: 0.4977587555583983\n", + "Eigen values: [1.23520486e+03 4.13290103e+02 4.97758756e-01 1.48478063e+00]\n", + "Eigen vectors: [[ 0.03730531 -0.3135781 -0.77866613 0.54217722]\n", + " [ 0.1725762 0.01383184 0.56460354 0.80699999]\n", + " [-0.10148488 0.9433793 -0.25614111 0.18473777]\n", + " [-0.97904371 -0.10729839 0.09640345 0.14375966]]\n", + "This is the 109 run out of 162 run.\n", + "The code has run 145.2640 seconds.\n", + "Estimated remaining time: 70.6330 seconds\n", + "(4.0, 300.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 110 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 43.09660269 6.59048419 -126.68915571 -31.12994736]\n", + " [ 6.59048419 37.99224879 -16.09096346 -209.11379689]\n", + " [-126.68915571 -16.09096346 380.61845015 80.9202888 ]\n", + " [ -31.12994736 -209.11379689 80.9202888 1188.77019715]]\n", + "Trace: 1650.4774987836786\n", + "Determinant: 377289.9144015313\n", + "Condition number: 2481.533158401581\n", + "Minimal eigen value: 0.4977587555583983\n", + "Eigen values: [1.23520486e+03 4.13290103e+02 4.97758756e-01 1.48478063e+00]\n", + "Eigen vectors: [[ 0.03730531 -0.3135781 -0.77866613 0.54217722]\n", + " [ 0.1725762 0.01383184 0.56460354 0.80699999]\n", + " [-0.10148488 0.9433793 -0.25614111 0.18473777]\n", + " [-0.97904371 -0.10729839 0.09640345 0.14375966]]\n", + "This is the 110 run out of 162 run.\n", + "The code has run 146.4558 seconds.\n", + "Estimated remaining time: 69.2337 seconds\n", + "(4.0, 350.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 111 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 38.98008208 10.50087231 -109.26616165 -50.33423487]\n", + " [ 10.50087231 46.2357708 -26.0166368 -241.75650289]\n", + " [-109.26616165 -26.0166368 314.03400492 129.07785117]\n", + " [ -50.33423487 -241.75650289 129.07785117 1297.33885768]]\n", + "Trace: 1696.588715479351\n", + "Determinant: 353397.8312879253\n", + "Condition number: 2473.8645149810354\n", + "Minimal eigen value: 0.5506368680154294\n", + "Eigen values: [1.36220101e+03 3.32419741e+02 5.50636868e-01 1.41732872e+00]\n", + "Eigen vectors: [[ 0.04917049 -0.32421068 -0.77441886 0.54105926]\n", + " [ 0.18180006 0.01903732 0.56547639 0.80425292]\n", + " [-0.12952444 0.93577129 -0.26488389 0.19337021]\n", + " [-0.9735268 -0.1373212 0.10172706 0.15178957]]\n", + "This is the 111 run out of 162 run.\n", + "The code has run 147.7579 seconds.\n", + "Estimated remaining time: 67.8888 seconds\n", + "(4.0, 350.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 112 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 38.98008208 10.50087231 -109.26616165 -50.33423487]\n", + " [ 10.50087231 46.2357708 -26.0166368 -241.75650289]\n", + " [-109.26616165 -26.0166368 314.03400492 129.07785117]\n", + " [ -50.33423487 -241.75650289 129.07785117 1297.33885768]]\n", + "Trace: 1696.588715479351\n", + "Determinant: 353397.8312879253\n", + "Condition number: 2473.8645149810354\n", + "Minimal eigen value: 0.5506368680154294\n", + "Eigen values: [1.36220101e+03 3.32419741e+02 5.50636868e-01 1.41732872e+00]\n", + "Eigen vectors: [[ 0.04917049 -0.32421068 -0.77441886 0.54105926]\n", + " [ 0.18180006 0.01903732 0.56547639 0.80425292]\n", + " [-0.12952444 0.93577129 -0.26488389 0.19337021]\n", + " [-0.9735268 -0.1373212 0.10172706 0.15178957]]\n", + "This is the 112 run out of 162 run.\n", + "The code has run 148.9649 seconds.\n", + "Estimated remaining time: 66.5022 seconds\n", + "(4.0, 400.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 113 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 36.04956949 9.70175573 -98.97227132 -43.42997368]\n", + " [ 9.70175573 40.22722663 -22.44817902 -201.75717188]\n", + " [ -98.97227132 -22.44817902 280.76635309 104.14374396]\n", + " [ -43.42997368 -201.75717188 104.14374396 1050.10727896]]\n", + "Trace: 1407.150428173226\n", + "Determinant: 385007.66008115205\n", + "Condition number: 1607.7050261633747\n", + "Minimal eigen value: 0.6877958792213302\n", + "Eigen values: [1.10577289e+03 2.98996660e+02 6.87795879e-01 1.69308018e+00]\n", + "Eigen vectors: [[ 0.05355966 -0.32712622 -0.78888975 0.51746764]\n", + " [ 0.18728768 0.01854209 0.54218599 0.81891017]\n", + " [-0.13417312 0.93385046 -0.27197264 0.18960955]\n", + " [-0.97162352 -0.14341531 0.09858088 0.16019237]]\n", + "This is the 113 run out of 162 run.\n", + "The code has run 150.3268 seconds.\n", + "Estimated remaining time: 65.1860 seconds\n", + "(4.0, 400.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 114 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.04956949 9.70175573 -98.97227132 -43.42997368]\n", + " [ 9.70175573 40.22722663 -22.44817902 -201.75717188]\n", + " [ -98.97227132 -22.44817902 280.76635309 104.14374396]\n", + " [ -43.42997368 -201.75717188 104.14374396 1050.10727896]]\n", + "Trace: 1407.150428173226\n", + "Determinant: 385007.66008115205\n", + "Condition number: 1607.7050261633747\n", + "Minimal eigen value: 0.6877958792213302\n", + "Eigen values: [1.10577289e+03 2.98996660e+02 6.87795879e-01 1.69308018e+00]\n", + "Eigen vectors: [[ 0.05355966 -0.32712622 -0.78888975 0.51746764]\n", + " [ 0.18728768 0.01854209 0.54218599 0.81891017]\n", + " [-0.13417312 0.93385046 -0.27197264 0.18960955]\n", + " [-0.97162352 -0.14341531 0.09858088 0.16019237]]\n", + "This is the 114 run out of 162 run.\n", + "The code has run 151.6982 seconds.\n", + "Estimated remaining time: 63.8729 seconds\n", + "(4.0, 450.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 115 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 33.98317248 8.42333604 -92.76204231 -36.13237 ]\n", + " [ 8.42333604 34.62136349 -18.67643566 -172.26593198]\n", + " [ -92.76204231 -18.67643566 263.37972026 83.93292272]\n", + " [ -36.13237 -172.26593198 83.93292272 900.07554444]]\n", + "Trace: 1232.0598006660607\n", + "Determinant: 390791.50345847104\n", + "Condition number: 1252.164170768648\n", + "Minimal eigen value: 0.755936785366837\n", + "Eigen values: [9.46556958e+02 2.82815786e+02 7.55936785e-01 1.93111988e+00]\n", + "Eigen vectors: [[ 0.0536091 -0.32713615 -0.78407605 0.52472159]\n", + " [ 0.18681353 0.0168036 0.55027211 0.81364547]\n", + " [-0.13180724 0.93417415 -0.2694697 0.19321382]\n", + " [-0.97203581 -0.14148579 0.09905265 0.1591123 ]]\n", + "This is the 115 run out of 162 run.\n", + "The code has run 153.0307 seconds.\n", + "Estimated remaining time: 62.5430 seconds\n", + "(4.0, 450.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 116 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 33.98317248 8.42333604 -92.76204231 -36.13237 ]\n", + " [ 8.42333604 34.62136349 -18.67643566 -172.26593198]\n", + " [ -92.76204231 -18.67643566 263.37972026 83.93292272]\n", + " [ -36.13237 -172.26593198 83.93292272 900.07554444]]\n", + "Trace: 1232.0598006660607\n", + "Determinant: 390791.50345847104\n", + "Condition number: 1252.164170768648\n", + "Minimal eigen value: 0.755936785366837\n", + "Eigen values: [9.46556958e+02 2.82815786e+02 7.55936785e-01 1.93111988e+00]\n", + "Eigen vectors: [[ 0.0536091 -0.32713615 -0.78407605 0.52472159]\n", + " [ 0.18681353 0.0168036 0.55027211 0.81364547]\n", + " [-0.13180724 0.93417415 -0.2694697 0.19321382]\n", + " [-0.97203581 -0.14148579 0.09905265 0.1591123 ]]\n", + "This is the 116 run out of 162 run.\n", + "The code has run 154.3540 seconds.\n", + "Estimated remaining time: 61.2094 seconds\n", + "(4.0, 500.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 117 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.61461165 7.69867872 -89.0993162 -32.29861664]\n", + " [ 7.69867872 31.72831286 -16.6949761 -158.49193134]\n", + " [ -89.0993162 -16.6949761 254.23608263 74.24416551]\n", + " [ -32.29861664 -158.49193134 74.24416551 836.93855774]]\n", + "Trace: 1155.517564889954\n", + "Determinant: 377055.4844963731\n", + "Condition number: 1153.56396067208\n", + "Minimal eigen value: 0.7616413010273266\n", + "Eigen values: [8.78601956e+02 2.74098284e+02 7.61641301e-01 2.05568371e+00]\n", + "Eigen vectors: [[ 0.05232178 -0.32611304 -0.77255089 0.54228945]\n", + " [ 0.18508459 0.0153093 0.56859711 0.80137797]\n", + " [-0.12810799 0.93511485 -0.2637982 0.1988946 ]\n", + " [-0.97293087 -0.13775386 0.10135559 0.15542345]]\n", + "This is the 117 run out of 162 run.\n", + "The code has run 155.7121 seconds.\n", + "Estimated remaining time: 59.8893 seconds\n", + "(4.0, 500.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 118 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.61461165 7.69867872 -89.0993162 -32.29861664]\n", + " [ 7.69867872 31.72831286 -16.6949761 -158.49193134]\n", + " [ -89.0993162 -16.6949761 254.23608263 74.24416551]\n", + " [ -32.29861664 -158.49193134 74.24416551 836.93855774]]\n", + "Trace: 1155.517564889954\n", + "Determinant: 377055.4844963731\n", + "Condition number: 1153.56396067208\n", + "Minimal eigen value: 0.7616413010273266\n", + "Eigen values: [8.78601956e+02 2.74098284e+02 7.61641301e-01 2.05568371e+00]\n", + "Eigen vectors: [[ 0.05232178 -0.32611304 -0.77255089 0.54228945]\n", + " [ 0.18508459 0.0153093 0.56859711 0.80137797]\n", + " [-0.12810799 0.93511485 -0.2637982 0.1988946 ]\n", + " [-0.97293087 -0.13775386 0.10135559 0.15542345]]\n", + "This is the 118 run out of 162 run.\n", + "The code has run 157.1833 seconds.\n", + "Estimated remaining time: 58.6107 seconds\n", + "(4.0, 550.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 119 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.71734916 7.29854327 -86.90405671 -30.22973035]\n", + " [ 7.29854327 30.12738394 -15.62568199 -151.47396021]\n", + " [ -86.90405671 -15.62568199 249.25058073 69.31843272]\n", + " [ -30.22973035 -151.47396021 69.31843272 807.51142812]]\n", + "Trace: 1118.606741960431\n", + "Determinant: 352265.93053194525\n", + "Condition number: 1157.5019448123237\n", + "Minimal eigen value: 0.731369368906729\n", + "Eigen values: [8.46561467e+02 2.69200418e+02 7.31369369e-01 2.11348733e+00]\n", + "Eigen vectors: [[ 0.05112181 -0.32491964 -0.76087976 0.55935299]\n", + " [ 0.18349975 0.01428386 0.58622697 0.78896245]\n", + " [-0.12523328 0.93598322 -0.25814533 0.2039927 ]\n", + " [-0.97366885 -0.13475387 0.10373479 0.15182048]]\n", + "This is the 119 run out of 162 run.\n", + "The code has run 158.5987 seconds.\n", + "Estimated remaining time: 57.3088 seconds\n", + "(4.0, 550.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 120 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 31.71734916 7.29854327 -86.90405671 -30.22973035]\n", + " [ 7.29854327 30.12738394 -15.62568199 -151.47396021]\n", + " [ -86.90405671 -15.62568199 249.25058073 69.31843272]\n", + " [ -30.22973035 -151.47396021 69.31843272 807.51142812]]\n", + "Trace: 1118.606741960431\n", + "Determinant: 352265.93053194525\n", + "Condition number: 1157.5019448123237\n", + "Minimal eigen value: 0.731369368906729\n", + "Eigen values: [8.46561467e+02 2.69200418e+02 7.31369369e-01 2.11348733e+00]\n", + "Eigen vectors: [[ 0.05112181 -0.32491964 -0.76087976 0.55935299]\n", + " [ 0.18349975 0.01428386 0.58622697 0.78896245]\n", + " [-0.12523328 0.93598322 -0.25814533 0.2039927 ]\n", + " [-0.97366885 -0.13475387 0.10373479 0.15182048]]\n", + "This is the 120 run out of 162 run.\n", + "The code has run 159.9894 seconds.\n", + "Estimated remaining time: 55.9963 seconds\n", + "(4.0, 600.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 121 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.10005334 7.00415656 -85.51112338 -28.82462182]\n", + " [ 7.00415656 29.06295134 -14.8994589 -147.24385858]\n", + " [ -85.51112338 -14.8994589 246.34676968 66.2484418 ]\n", + " [ -28.82462182 -147.24385858 66.2484418 791.39773689]]\n", + "Trace: 1097.9075112415553\n", + "Determinant: 321261.1072732417\n", + "Condition number: 1206.2607176796919\n", + "Minimal eigen value: 0.6870415207970759\n", + "Eigen values: [8.28751198e+02 2.66350926e+02 6.87041521e-01 2.11834546e+00]\n", + "Eigen vectors: [[ 0.04997416 -0.32388984 -0.74853205 0.57645271]\n", + " [ 0.18211958 0.01362624 0.60381088 0.77592474]\n", + " [-0.12282242 0.93672065 -0.25260425 0.20895014]\n", + " [-0.97429446 -0.13215185 0.10631692 0.14826634]]\n", + "This is the 121 run out of 162 run.\n", + "The code has run 161.4355 seconds.\n", + "Estimated remaining time: 54.7013 seconds\n", + "(4.0, 600.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 122 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.10005334 7.00415656 -85.51112338 -28.82462182]\n", + " [ 7.00415656 29.06295134 -14.8994589 -147.24385858]\n", + " [ -85.51112338 -14.8994589 246.34676968 66.2484418 ]\n", + " [ -28.82462182 -147.24385858 66.2484418 791.39773689]]\n", + "Trace: 1097.9075112415553\n", + "Determinant: 321261.1072732417\n", + "Condition number: 1206.2607176796919\n", + "Minimal eigen value: 0.6870415207970759\n", + "Eigen values: [8.28751198e+02 2.66350926e+02 6.87041521e-01 2.11834546e+00]\n", + "Eigen vectors: [[ 0.04997416 -0.32388984 -0.74853205 0.57645271]\n", + " [ 0.18211958 0.01362624 0.60381088 0.77592474]\n", + " [-0.12282242 0.93672065 -0.25260425 0.20895014]\n", + " [-0.97429446 -0.13215185 0.10631692 0.14826634]]\n", + "This is the 122 run out of 162 run.\n", + "The code has run 162.8904 seconds.\n", + "Estimated remaining time: 53.4067 seconds\n", + "(4.0, 650.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 123 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.61904319 6.70066134 -84.52860483 -27.6103242 ]\n", + " [ 6.70066134 28.23501444 -14.27185511 -144.32300206]\n", + " [ -84.52860483 -14.27185511 244.48029255 63.92533729]\n", + " [ -27.6103242 -144.32300206 63.92533729 781.40832224]]\n", + "Trace: 1084.742672417322\n", + "Determinant: 287091.8887813455\n", + "Condition number: 1270.1548612113952\n", + "Minimal eigen value: 0.6435916597485087\n", + "Eigen values: [8.17461075e+02 2.64575506e+02 6.43591660e-01 2.06249924e+00]\n", + "Eigen vectors: [[ 0.04868907 -0.3230202 -0.73551595 0.59355169]\n", + " [ 0.18086605 0.01330593 0.62129568 0.76230054]\n", + " [-0.12045256 0.93739782 -0.24720548 0.21369594]\n", + " [-0.97488873 -0.12948445 0.10907526 0.14466629]]\n", + "This is the 123 run out of 162 run.\n", + "The code has run 164.3401 seconds.\n", + "Estimated remaining time: 52.1078 seconds\n", + "(4.0, 650.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 124 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.61904319 6.70066134 -84.52860483 -27.6103242 ]\n", + " [ 6.70066134 28.23501444 -14.27185511 -144.32300206]\n", + " [ -84.52860483 -14.27185511 244.48029255 63.92533729]\n", + " [ -27.6103242 -144.32300206 63.92533729 781.40832224]]\n", + "Trace: 1084.742672417322\n", + "Determinant: 287091.8887813455\n", + "Condition number: 1270.1548612113952\n", + "Minimal eigen value: 0.6435916597485087\n", + "Eigen values: [8.17461075e+02 2.64575506e+02 6.43591660e-01 2.06249924e+00]\n", + "Eigen vectors: [[ 0.04868907 -0.3230202 -0.73551595 0.59355169]\n", + " [ 0.18086605 0.01330593 0.62129568 0.76230054]\n", + " [-0.12045256 0.93739782 -0.24720548 0.21369594]\n", + " [-0.97488873 -0.12948445 0.10907526 0.14466629]]\n", + "This is the 124 run out of 162 run.\n", + "The code has run 165.8116 seconds.\n", + "Estimated remaining time: 50.8132 seconds\n", + "(4.0, 700.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 125 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.20764168 6.38536954 -83.77945916 -26.53899956]\n", + " [ 6.38536954 27.58709508 -13.71814607 -142.28482105]\n", + " [ -83.77945916 -13.71814607 243.19229482 62.12514983]\n", + " [ -26.53899956 -142.28482105 62.12514983 775.12800093]]\n", + "Trace: 1076.1150325176336\n", + "Determinant: 254255.2773071438\n", + "Condition number: 1330.7789521030636\n", + "Minimal eigen value: 0.608797184781677\n", + "Eigen values: [8.10174480e+02 2.63374511e+02 6.08797185e-01 1.95724431e+00]\n", + "Eigen vectors: [[ 0.04736083 -0.32223551 -0.724051 0.60800607]\n", + " [ 0.17980376 0.01327246 0.63595878 0.75036716]\n", + " [-0.11822723 0.93802249 -0.24264785 0.2173894 ]\n", + " [-0.97542293 -0.12689337 0.11148365 0.14149058]]\n", + "This is the 125 run out of 162 run.\n", + "The code has run 167.3933 seconds.\n", + "Estimated remaining time: 49.5484 seconds\n", + "(4.0, 700.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 126 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.20764168 6.38536954 -83.77945916 -26.53899956]\n", + " [ 6.38536954 27.58709508 -13.71814607 -142.28482105]\n", + " [ -83.77945916 -13.71814607 243.19229482 62.12514983]\n", + " [ -26.53899956 -142.28482105 62.12514983 775.12800093]]\n", + "Trace: 1076.1150325176336\n", + "Determinant: 254255.2773071438\n", + "Condition number: 1330.7789521030636\n", + "Minimal eigen value: 0.608797184781677\n", + "Eigen values: [8.10174480e+02 2.63374511e+02 6.08797185e-01 1.95724431e+00]\n", + "Eigen vectors: [[ 0.04736083 -0.32223551 -0.724051 0.60800607]\n", + " [ 0.17980376 0.01327246 0.63595878 0.75036716]\n", + " [-0.11822723 0.93802249 -0.24264785 0.2173894 ]\n", + " [-0.97542293 -0.12689337 0.11148365 0.14149058]]\n", + "This is the 126 run out of 162 run.\n", + "The code has run 168.8754 seconds.\n", + "Estimated remaining time: 48.2501 seconds\n", + "(4.5, 300.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 127 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 46.92629751 6.90338693 -138.62963954 -33.01752486]\n", + " [ 6.90338693 41.06895619 -17.06655062 -227.67404402]\n", + " [-138.62963954 -17.06655062 417.84730534 86.80549243]\n", + " [ -33.01752486 -227.67404402 86.80549243 1300.73494691]]\n", + "Trace: 1806.5775059519992\n", + "Determinant: 459604.7219933394\n", + "Condition number: 2702.7543876920536\n", + "Minimal eigen value: 0.4997565607094312\n", + "Eigen values: [1.35071924e+03 4.53858342e+02 4.99756561e-01 1.50017033e+00]\n", + "Eigen vectors: [[-0.03631039 0.31277851 -0.77902003 0.54219825]\n", + " [-0.17175452 -0.01378792 0.56437548 0.80733549]\n", + " [ 0.09967419 -0.94387759 -0.25567722 0.18381867]\n", + " [ 0.97941156 0.10523585 0.0961107 0.14297255]]\n", + "This is the 127 run out of 162 run.\n", + "The code has run 169.9940 seconds.\n", + "Estimated remaining time: 46.8487 seconds\n", + "(4.5, 300.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 128 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 46.92629751 6.90338693 -138.62963954 -33.01752486]\n", + " [ 6.90338693 41.06895619 -17.06655062 -227.67404402]\n", + " [-138.62963954 -17.06655062 417.84730534 86.80549243]\n", + " [ -33.01752486 -227.67404402 86.80549243 1300.73494691]]\n", + "Trace: 1806.5775059519992\n", + "Determinant: 459604.7219933394\n", + "Condition number: 2702.7543876920536\n", + "Minimal eigen value: 0.4997565607094312\n", + "Eigen values: [1.35071924e+03 4.53858342e+02 4.99756561e-01 1.50017033e+00]\n", + "Eigen vectors: [[-0.03631039 0.31277851 -0.77902003 0.54219825]\n", + " [-0.17175452 -0.01378792 0.56437548 0.80733549]\n", + " [ 0.09967419 -0.94387759 -0.25567722 0.18381867]\n", + " [ 0.97941156 0.10523585 0.0961107 0.14297255]]\n", + "This is the 128 run out of 162 run.\n", + "The code has run 171.1274 seconds.\n", + "Estimated remaining time: 45.4557 seconds\n", + "(4.5, 350.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 129 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 41.71632611 11.8524719 -116.57866267 -57.32295124]\n", + " [ 11.8524719 51.50216373 -29.62873093 -268.98746881]\n", + " [-116.57866267 -29.62873093 333.57636684 147.7549073 ]\n", + " [ -57.32295124 -268.98746881 147.7549073 1438.14215791]]\n", + "Trace: 1864.93701458946\n", + "Determinant: 425293.33387179556\n", + "Condition number: 2684.360803602728\n", + "Minimal eigen value: 0.5630645637492117\n", + "Eigen values: [1.51146844e+03 3.51483746e+02 5.63064564e-01 1.42175920e+00]\n", + "Eigen vectors: [[ 0.04986108 -0.3253461 -0.7734496 0.54170057]\n", + " [ 0.18236313 0.01979238 0.5662309 0.80357608]\n", + " [-0.13158898 0.9350533 -0.26583167 0.19414733]\n", + " [-0.9731094 -0.13940407 0.10242952 0.15209469]]\n", + "This is the 129 run out of 162 run.\n", + "The code has run 172.2557 seconds.\n", + "Estimated remaining time: 44.0654 seconds\n", + "(4.5, 350.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 130 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 41.71632611 11.8524719 -116.57866267 -57.32295124]\n", + " [ 11.8524719 51.50216373 -29.62873093 -268.98746881]\n", + " [-116.57866267 -29.62873093 333.57636684 147.7549073 ]\n", + " [ -57.32295124 -268.98746881 147.7549073 1438.14215791]]\n", + "Trace: 1864.93701458946\n", + "Determinant: 425293.33387179556\n", + "Condition number: 2684.360803602728\n", + "Minimal eigen value: 0.5630645637492117\n", + "Eigen values: [1.51146844e+03 3.51483746e+02 5.63064564e-01 1.42175920e+00]\n", + "Eigen vectors: [[ 0.04986108 -0.3253461 -0.7734496 0.54170057]\n", + " [ 0.18236313 0.01979238 0.5662309 0.80357608]\n", + " [-0.13158898 0.9350533 -0.26583167 0.19414733]\n", + " [-0.9731094 -0.13940407 0.10242952 0.15209469]]\n", + "This is the 130 run out of 162 run.\n", + "The code has run 173.3884 seconds.\n", + "Estimated remaining time: 42.6802 seconds\n", + "(4.5, 400.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 131 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 38.00739612 10.84108997 -103.55045697 -48.58474746]\n", + " [ 10.84108997 43.89759997 -25.11239917 -218.36331941]\n", + " [-103.55045697 -25.11239917 291.47199138 116.19767124]\n", + " [ -48.58474746 -218.36331941 116.19767124 1125.23972746]]\n", + "Trace: 1498.6167149344094\n", + "Determinant: 469841.6247280835\n", + "Condition number: 1620.7512957765398\n", + "Minimal eigen value: 0.7323714028597419\n", + "Eigen values: [1.18699190e+03 3.09144162e+02 7.32371403e-01 1.74828128e+00]\n", + "Eigen vectors: [[ 0.05523448 -0.32901628 -0.78936724 0.51536085]\n", + " [ 0.18898188 0.01942047 0.54031673 0.81973564]\n", + " [-0.13764106 0.93258287 -0.27409578 0.19030404]\n", + " [-0.9707162 -0.14717445 0.0991398 0.16192912]]\n", + "This is the 131 run out of 162 run.\n", + "The code has run 174.6924 seconds.\n", + "Estimated remaining time: 41.3394 seconds\n", + "(4.5, 400.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 132 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 38.00739612 10.84108997 -103.55045697 -48.58474746]\n", + " [ 10.84108997 43.89759997 -25.11239917 -218.36331941]\n", + " [-103.55045697 -25.11239917 291.47199138 116.19767124]\n", + " [ -48.58474746 -218.36331941 116.19767124 1125.23972746]]\n", + "Trace: 1498.6167149344094\n", + "Determinant: 469841.6247280835\n", + "Condition number: 1620.7512957765398\n", + "Minimal eigen value: 0.7323714028597419\n", + "Eigen values: [1.18699190e+03 3.09144162e+02 7.32371403e-01 1.74828128e+00]\n", + "Eigen vectors: [[ 0.05523448 -0.32901628 -0.78936724 0.51536085]\n", + " [ 0.18898188 0.01942047 0.54031673 0.81973564]\n", + " [-0.13764106 0.93258287 -0.27409578 0.19030404]\n", + " [-0.9707162 -0.14717445 0.0991398 0.16192912]]\n", + "This is the 132 run out of 162 run.\n", + "The code has run 176.0935 seconds.\n", + "Estimated remaining time: 40.0213 seconds\n", + "(4.5, 450.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 133 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 35.39211234 9.22308995 -95.69063657 -39.3487156 ]\n", + " [ 9.22308995 36.80267948 -20.33878885 -181.038465 ]\n", + " [ -95.69063657 -20.33878885 269.4670378 90.6183572 ]\n", + " [ -39.3487156 -181.038465 90.6183572 935.35577706]]\n", + "Trace: 1277.017606694349\n", + "Determinant: 478375.47935399483\n", + "Condition number: 1199.9989788371267\n", + "Minimal eigen value: 0.8212252566049608\n", + "Eigen values: [9.85469469e+02 2.88679300e+02 8.21225257e-01 2.04761261e+00]\n", + "Eigen vectors: [[ 0.05571542 -0.32911178 -0.7844296 0.52273457]\n", + " [ 0.18875266 0.01745765 0.54869009 0.81425232]\n", + " [-0.13569991 0.93279596 -0.27146248 0.19438454]\n", + " [-0.97100657 -0.14585045 0.09958669 0.16110983]]\n", + "This is the 133 run out of 162 run.\n", + "The code has run 177.4564 seconds.\n", + "Estimated remaining time: 38.6935 seconds\n", + "(4.5, 450.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 134 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 35.39211234 9.22308995 -95.69063657 -39.3487156 ]\n", + " [ 9.22308995 36.80267948 -20.33878885 -181.038465 ]\n", + " [ -95.69063657 -20.33878885 269.4670378 90.6183572 ]\n", + " [ -39.3487156 -181.038465 90.6183572 935.35577706]]\n", + "Trace: 1277.017606694349\n", + "Determinant: 478375.47935399483\n", + "Condition number: 1199.9989788371267\n", + "Minimal eigen value: 0.8212252566049608\n", + "Eigen values: [9.85469469e+02 2.88679300e+02 8.21225257e-01 2.04761261e+00]\n", + "Eigen vectors: [[ 0.05571542 -0.32911178 -0.7844296 0.52273457]\n", + " [ 0.18875266 0.01745765 0.54869009 0.81425232]\n", + " [-0.13569991 0.93279596 -0.27146248 0.19438454]\n", + " [-0.97100657 -0.14585045 0.09958669 0.16110983]]\n", + "This is the 134 run out of 162 run.\n", + "The code has run 178.8289 seconds.\n", + "Estimated remaining time: 37.3672 seconds\n", + "(4.5, 500.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 135 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 33.66002761 8.30594564 -91.05499891 -34.49662194]\n", + " [ 8.30594564 33.14116228 -17.83100411 -163.60574544]\n", + " [ -91.05499891 -17.83100411 257.89462145 78.35602391]\n", + " [ -34.49662194 -163.60574544 78.35602391 855.44802828]]\n", + "Trace: 1180.143839623319\n", + "Determinant: 459277.25895758584\n", + "Condition number: 1081.8197040357716\n", + "Minimal eigen value: 0.8314050126325663\n", + "Eigen values: [8.99430325e+02 2.77670210e+02 8.31405013e-01 2.21190000e+00]\n", + "Eigen vectors: [[ 0.05436601 -0.32790709 -0.77158474 0.54238203]\n", + " [ 0.18680442 0.01563656 0.56923733 0.80051762]\n", + " [-0.13162916 0.93387659 -0.26494772 0.20087555]\n", + " [-0.97201966 -0.14179899 0.10212027 0.15697861]]\n", + "This is the 135 run out of 162 run.\n", + "The code has run 180.2023 seconds.\n", + "Estimated remaining time: 36.0405 seconds\n", + "(4.5, 500.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 136 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 33.66002761 8.30594564 -91.05499891 -34.49662194]\n", + " [ 8.30594564 33.14116228 -17.83100411 -163.60574544]\n", + " [ -91.05499891 -17.83100411 257.89462145 78.35602391]\n", + " [ -34.49662194 -163.60574544 78.35602391 855.44802828]]\n", + "Trace: 1180.143839623319\n", + "Determinant: 459277.25895758584\n", + "Condition number: 1081.8197040357716\n", + "Minimal eigen value: 0.8314050126325663\n", + "Eigen values: [8.99430325e+02 2.77670210e+02 8.31405013e-01 2.21190000e+00]\n", + "Eigen vectors: [[ 0.05436601 -0.32790709 -0.77158474 0.54238203]\n", + " [ 0.18680442 0.01563656 0.56923733 0.80051762]\n", + " [-0.13162916 0.93387659 -0.26494772 0.20087555]\n", + " [-0.97201966 -0.14179899 0.10212027 0.15697861]]\n", + "This is the 136 run out of 162 run.\n", + "The code has run 181.5752 seconds.\n", + "Estimated remaining time: 34.7129 seconds\n", + "(4.5, 550.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 137 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.52442966 7.79952394 -88.27662362 -31.87818718]\n", + " [ 7.79952394 31.11498652 -16.47767841 -154.72362552]\n", + " [ -88.27662362 -16.47767841 251.58484594 72.12189285]\n", + " [ -31.87818718 -154.72362552 72.12189285 818.20431707]]\n", + "Trace: 1133.428579183614\n", + "Determinant: 424625.5063295614\n", + "Condition number: 1080.5771231432936\n", + "Minimal eigen value: 0.7948118154343831\n", + "Eigen values: [8.58855465e+02 2.71487052e+02 7.94811815e-01 2.29125042e+00]\n", + "Eigen vectors: [[ 0.05298068 -0.32645825 -0.75839465 0.56165435]\n", + " [ 0.18491122 0.01434479 0.589166 0.78643849]\n", + " [-0.12826537 0.93492766 -0.25836135 0.20665836]\n", + " [-0.97290744 -0.13830947 0.10473962 0.15281106]]\n", + "This is the 137 run out of 162 run.\n", + "The code has run 182.9922 seconds.\n", + "Estimated remaining time: 33.3927 seconds\n", + "(4.5, 550.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 138 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.52442966 7.79952394 -88.27662362 -31.87818718]\n", + " [ 7.79952394 31.11498652 -16.47767841 -154.72362552]\n", + " [ -88.27662362 -16.47767841 251.58484594 72.12189285]\n", + " [ -31.87818718 -154.72362552 72.12189285 818.20431707]]\n", + "Trace: 1133.428579183614\n", + "Determinant: 424625.5063295614\n", + "Condition number: 1080.5771231432936\n", + "Minimal eigen value: 0.7948118154343831\n", + "Eigen values: [8.58855465e+02 2.71487052e+02 7.94811815e-01 2.29125042e+00]\n", + "Eigen vectors: [[ 0.05298068 -0.32645825 -0.75839465 0.56165435]\n", + " [ 0.18491122 0.01434479 0.589166 0.78643849]\n", + " [-0.12826537 0.93492766 -0.25836135 0.20665836]\n", + " [-0.97290744 -0.13830947 0.10473962 0.15281106]]\n", + "This is the 138 run out of 162 run.\n", + "The code has run 184.4046 seconds.\n", + "Estimated remaining time: 32.0704 seconds\n", + "(4.5, 600.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 139 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.74316474 7.42694102 -86.51369237 -30.09984737]\n", + " [ 7.42694102 29.7678141 -15.55855266 -149.36990345]\n", + " [ -86.51369237 -15.55855266 247.90970974 68.2364363 ]\n", + " [ -30.09984737 -149.36990345 68.2364363 797.81042745]]\n", + "Trace: 1107.231116021695\n", + "Determinant: 381369.94743284467\n", + "Condition number: 1131.228760170931\n", + "Minimal eigen value: 0.7392823596420406\n", + "Eigen values: [8.36297467e+02 2.67891780e+02 7.39282360e-01 2.30258650e+00]\n", + "Eigen vectors: [[ 0.05159752 -0.32519357 -0.74430518 0.58103066]\n", + " [ 0.18321977 0.01350159 0.60908704 0.77153172]\n", + " [-0.12535113 0.93583947 -0.25188368 0.21224088]\n", + " [-0.97368132 -0.1351715 0.10759823 0.14864717]]\n", + "This is the 139 run out of 162 run.\n", + "The code has run 185.9559 seconds.\n", + "Estimated remaining time: 30.7697 seconds\n", + "(4.5, 600.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 140 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.74316474 7.42694102 -86.51369237 -30.09984737]\n", + " [ 7.42694102 29.7678141 -15.55855266 -149.36990345]\n", + " [ -86.51369237 -15.55855266 247.90970974 68.2364363 ]\n", + " [ -30.09984737 -149.36990345 68.2364363 797.81042745]]\n", + "Trace: 1107.231116021695\n", + "Determinant: 381369.94743284467\n", + "Condition number: 1131.228760170931\n", + "Minimal eigen value: 0.7392823596420406\n", + "Eigen values: [8.36297467e+02 2.67891780e+02 7.39282360e-01 2.30258650e+00]\n", + "Eigen vectors: [[ 0.05159752 -0.32519357 -0.74430518 0.58103066]\n", + " [ 0.18321977 0.01350159 0.60908704 0.77153172]\n", + " [-0.12535113 0.93583947 -0.25188368 0.21224088]\n", + " [-0.97368132 -0.1351715 0.10759823 0.14864717]]\n", + "This is the 140 run out of 162 run.\n", + "The code has run 187.4372 seconds.\n", + "Estimated remaining time: 29.4544 seconds\n", + "(4.5, 650.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 141 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 31.13438628 7.04282989 -85.27019232 -28.5630018 ]\n", + " [ 7.04282989 28.71995645 -14.7642416 -145.67319431]\n", + " [ -85.27019232 -14.7642416 245.54744961 65.29625692]\n", + " [ -28.5630018 -145.67319431 65.29625692 785.16757397]]\n", + "Trace: 1090.569366309676\n", + "Determinant: 334072.2908212103\n", + "Condition number: 1201.6870700885588\n", + "Minimal eigen value: 0.6840342314306751\n", + "Eigen values: [8.21995091e+02 2.65653696e+02 6.84034231e-01 2.23654444e+00]\n", + "Eigen vectors: [[ 0.05001058 -0.32412002 -0.72914289 0.6006628 ]\n", + " [ 0.18166178 0.01308144 0.62914363 0.7556495 ]\n", + " [-0.12242742 0.93668688 -0.24550229 0.21761858]\n", + " [-0.97442776 -0.1318817 0.1107139 0.14436129]]\n", + "This is the 141 run out of 162 run.\n", + "The code has run 188.9469 seconds.\n", + "Estimated remaining time: 28.1410 seconds\n", + "(4.5, 650.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 142 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.13438628 7.04282989 -85.27019232 -28.5630018 ]\n", + " [ 7.04282989 28.71995645 -14.7642416 -145.67319431]\n", + " [ -85.27019232 -14.7642416 245.54744961 65.29625692]\n", + " [ -28.5630018 -145.67319431 65.29625692 785.16757397]]\n", + "Trace: 1090.569366309676\n", + "Determinant: 334072.2908212103\n", + "Condition number: 1201.6870700885588\n", + "Minimal eigen value: 0.6840342314306751\n", + "Eigen values: [8.21995091e+02 2.65653696e+02 6.84034231e-01 2.23654444e+00]\n", + "Eigen vectors: [[ 0.05001058 -0.32412002 -0.72914289 0.6006628 ]\n", + " [ 0.18166178 0.01308144 0.62914363 0.7556495 ]\n", + " [-0.12242742 0.93668688 -0.24550229 0.21761858]\n", + " [-0.97442776 -0.1318817 0.1107139 0.14436129]]\n", + "This is the 142 run out of 162 run.\n", + "The code has run 190.4075 seconds.\n", + "Estimated remaining time: 26.8180 seconds\n", + "(4.5, 700.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 143 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.61370624 6.64378871 -84.32205484 -27.20710656]\n", + " [ 6.64378871 27.89993353 -14.0634536 -143.09362149]\n", + " [ -84.32205484 -14.0634536 243.91732749 63.01789467]\n", + " [ -27.20710656 -143.09362149 63.01789467 777.21904233]]\n", + "Trace: 1079.6500095886515\n", + "Determinant: 289208.71561637335\n", + "Condition number: 1271.2648772423802\n", + "Minimal eigen value: 0.6393346215801524\n", + "Eigen values: [8.12763649e+02 2.64139927e+02 6.39334622e-01 2.10709845e+00]\n", + "Eigen vectors: [[ 0.04834993 -0.32314612 -0.71522959 0.61780702]\n", + " [ 0.1803307 0.01302644 0.64651616 0.74116665]\n", + " [-0.11964922 0.93747381 -0.23994152 0.22193464]\n", + " [-0.97510368 -0.12864585 0.11354098 0.14046888]]\n", + "This is the 143 run out of 162 run.\n", + "The code has run 191.9711 seconds.\n", + "Estimated remaining time: 25.5067 seconds\n", + "(4.5, 700.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 144 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.61370624 6.64378871 -84.32205484 -27.20710656]\n", + " [ 6.64378871 27.89993353 -14.0634536 -143.09362149]\n", + " [ -84.32205484 -14.0634536 243.91732749 63.01789467]\n", + " [ -27.20710656 -143.09362149 63.01789467 777.21904233]]\n", + "Trace: 1079.6500095886515\n", + "Determinant: 289208.71561637335\n", + "Condition number: 1271.2648772423802\n", + "Minimal eigen value: 0.6393346215801524\n", + "Eigen values: [8.12763649e+02 2.64139927e+02 6.39334622e-01 2.10709845e+00]\n", + "Eigen vectors: [[ 0.04834993 -0.32314612 -0.71522959 0.61780702]\n", + " [ 0.1803307 0.01302644 0.64651616 0.74116665]\n", + " [-0.11964922 0.93747381 -0.23994152 0.22193464]\n", + " [-0.97510368 -0.12864585 0.11354098 0.14046888]]\n", + "This is the 144 run out of 162 run.\n", + "The code has run 193.5839 seconds.\n", + "Estimated remaining time: 24.1980 seconds\n", + "(5.0, 300.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 145 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", + " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", + " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", + " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", + "Trace: 1981.0422198461438\n", + "Determinant: 561207.9662178434\n", + "Condition number: 2950.219453820002\n", + "Minimal eigen value: 0.5016011129279737\n", + "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", + "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", + " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", + " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", + " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", + "This is the 145 run out of 162 run.\n", + "The code has run 194.7723 seconds.\n", + "Estimated remaining time: 22.8354 seconds\n", + "(5.0, 300.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 146 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", + " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", + " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", + " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", + "Trace: 1981.0422198461438\n", + "Determinant: 561207.9662178434\n", + "Condition number: 2950.219453820002\n", + "Minimal eigen value: 0.5016011129279737\n", + "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", + "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", + " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", + " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", + " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", + "This is the 146 run out of 162 run.\n", + "The code has run 196.0682 seconds.\n", + "Estimated remaining time: 21.4869 seconds\n", + "(5.0, 350.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 147 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 44.77448121 13.36308321 -124.75145794 -65.13386954]\n", + " [ 13.36308321 57.3881323 -33.66577731 -299.42207777]\n", + " [-124.75145794 -33.66577731 355.41783016 168.62926416]\n", + " [ -65.13386954 -299.42207777 168.62926416 1595.51055227]]\n", + "Trace: 2053.0909959474125\n", + "Determinant: 513228.2976445542\n", + "Condition number: 2917.190381044787\n", + "Minimal eigen value: 0.5753167063296618\n", + "Eigen values: [1.67830836e+03 3.72781455e+02 5.75316706e-01 1.42586218e+00]\n", + "Eigen vectors: [[-0.05047007 0.32648857 -0.77233623 0.54254469]\n", + " [-0.18287382 -0.02050882 0.56719727 0.80276012]\n", + " [ 0.13340808 -0.93436539 -0.26673157 0.1949817 ]\n", + " [ 0.9727344 0.14122999 0.10314205 0.15232724]]\n", + "This is the 147 run out of 162 run.\n", + "The code has run 197.2717 seconds.\n", + "Estimated remaining time: 20.1298 seconds\n", + "(5.0, 350.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 148 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 44.77448121 13.36308321 -124.75145794 -65.13386954]\n", + " [ 13.36308321 57.3881323 -33.66577731 -299.42207777]\n", + " [-124.75145794 -33.66577731 355.41783016 168.62926416]\n", + " [ -65.13386954 -299.42207777 168.62926416 1595.51055227]]\n", + "Trace: 2053.0909959474125\n", + "Determinant: 513228.2976445542\n", + "Condition number: 2917.190381044787\n", + "Minimal eigen value: 0.5753167063296618\n", + "Eigen values: [1.67830836e+03 3.72781455e+02 5.75316706e-01 1.42586218e+00]\n", + "Eigen vectors: [[-0.05047007 0.32648857 -0.77233623 0.54254469]\n", + " [-0.18287382 -0.02050882 0.56719727 0.80276012]\n", + " [ 0.13340808 -0.93436539 -0.26673157 0.1949817 ]\n", + " [ 0.9727344 0.14122999 0.10314205 0.15232724]]\n", + "This is the 148 run out of 162 run.\n", + "The code has run 198.4624 seconds.\n", + "Estimated remaining time: 18.7735 seconds\n", + "(5.0, 400.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 149 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 40.19555527 12.11446351 -108.66725425 -54.3459603 ]\n", + " [ 12.11446351 47.99978202 -28.09006195 -236.92312113]\n", + " [-108.66725425 -28.09006195 303.43712402 129.66971892]\n", + " [ -54.3459603 -236.92312113 129.66971892 1209.21119331]]\n", + "Trace: 1600.843654620789\n", + "Determinant: 574493.5923426447\n", + "Condition number: 1641.1009368547748\n", + "Minimal eigen value: 0.7786241106559912\n", + "Eigen values: [1.27780076e+03 3.20462430e+02 7.78624111e-01 1.80184355e+00]\n", + "Eigen vectors: [[ 0.0568252 -0.33099073 -0.78928624 0.51404598]\n", + " [ 0.19061862 0.02031409 0.53926995 0.82002427]\n", + " [-0.1409001 0.93130083 -0.27612117 0.1912669 ]\n", + " [-0.96983638 -0.15070249 0.09986122 0.16350503]]\n", + "This is the 149 run out of 162 run.\n", + "The code has run 199.8429 seconds.\n", + "Estimated remaining time: 17.4360 seconds\n", + "(5.0, 400.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 150 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 40.19555527 12.11446351 -108.66725425 -54.3459603 ]\n", + " [ 12.11446351 47.99978202 -28.09006195 -236.92312113]\n", + " [-108.66725425 -28.09006195 303.43712402 129.66971892]\n", + " [ -54.3459603 -236.92312113 129.66971892 1209.21119331]]\n", + "Trace: 1600.843654620789\n", + "Determinant: 574493.5923426447\n", + "Condition number: 1641.1009368547748\n", + "Minimal eigen value: 0.7786241106559912\n", + "Eigen values: [1.27780076e+03 3.20462430e+02 7.78624111e-01 1.80184355e+00]\n", + "Eigen vectors: [[ 0.0568252 -0.33099073 -0.78928624 0.51404598]\n", + " [ 0.19061862 0.02031409 0.53926995 0.82002427]\n", + " [-0.1409001 0.93130083 -0.27612117 0.1912669 ]\n", + " [-0.96983638 -0.15070249 0.09986122 0.16350503]]\n", + "This is the 150 run out of 162 run.\n", + "The code has run 201.2696 seconds.\n", + "Estimated remaining time: 16.1016 seconds\n", + "(5.0, 450.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 151 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.96680994 10.1169327 -98.96377145 -42.94345541]\n", + " [ 10.1169327 39.24062076 -22.19671301 -190.84306041]\n", + " [ -98.96377145 -22.19671301 276.27051038 98.09031344]\n", + " [ -42.94345541 -190.84306041 98.09031344 974.78662483]]\n", + "Trace: 1327.2645659113318\n", + "Determinant: 586703.6867346049\n", + "Condition number: 1154.5643300518498\n", + "Minimal eigen value: 0.8912447563558519\n", + "Eigen values: [1.02899941e+03 2.95206809e+02 8.91244756e-01 2.16710690e+00]\n", + "Eigen vectors: [[ 0.0578611 -0.33121289 -0.78442655 0.52117666]\n", + " [ 0.19074339 0.01817303 0.54757119 0.81452593]\n", + " [-0.13962694 0.93133834 -0.27347645 0.19576479]\n", + " [-0.96993472 -0.15025534 0.10025673 0.16309062]]\n", + "This is the 151 run out of 162 run.\n", + "The code has run 202.7167 seconds.\n", + "Estimated remaining time: 14.7674 seconds\n", + "(5.0, 450.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 152 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.96680994 10.1169327 -98.96377145 -42.94345541]\n", + " [ 10.1169327 39.24062076 -22.19671301 -190.84306041]\n", + " [ -98.96377145 -22.19671301 276.27051038 98.09031344]\n", + " [ -42.94345541 -190.84306041 98.09031344 974.78662483]]\n", + "Trace: 1327.2645659113318\n", + "Determinant: 586703.6867346049\n", + "Condition number: 1154.5643300518498\n", + "Minimal eigen value: 0.8912447563558519\n", + "Eigen values: [1.02899941e+03 2.95206809e+02 8.91244756e-01 2.16710690e+00]\n", + "Eigen vectors: [[ 0.0578611 -0.33121289 -0.78442655 0.52117666]\n", + " [ 0.19074339 0.01817303 0.54757119 0.81452593]\n", + " [-0.13962694 0.93133834 -0.27347645 0.19576479]\n", + " [-0.96993472 -0.15025534 0.10025673 0.16309062]]\n", + "This is the 152 run out of 162 run.\n", + "The code has run 204.1511 seconds.\n", + "Estimated remaining time: 13.4310 seconds\n", + "(5.0, 500.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 153 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.82843368 8.98465572 -93.24076194 -36.95321608]\n", + " [ 8.98465572 34.72022928 -19.10068248 -169.32118473]\n", + " [ -93.24076194 -19.10068248 261.98357659 82.95163035]\n", + " [ -36.95321608 -169.32118473 82.95163035 876.1350836 ]]\n", + "Trace: 1207.667323148074\n", + "Determinant: 560761.244544903\n", + "Condition number: 1016.6953838933143\n", + "Minimal eigen value: 0.9075873160350136\n", + "Eigen values: [9.22739835e+02 2.81642447e+02 9.07587316e-01 2.37745440e+00]\n", + "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", + " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", + " [-0.13533435 0.93253239 -0.26619814 0.20299388]\n", + " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", + "This is the 153 run out of 162 run.\n", + "The code has run 205.6370 seconds.\n", + "Estimated remaining time: 12.0963 seconds\n", + "(5.0, 500.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 154 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.82843368 8.98465572 -93.24076194 -36.95321608]\n", + " [ 8.98465572 34.72022928 -19.10068248 -169.32118473]\n", + " [ -93.24076194 -19.10068248 261.98357659 82.95163035]\n", + " [ -36.95321608 -169.32118473 82.95163035 876.1350836 ]]\n", + "Trace: 1207.667323148074\n", + "Determinant: 560761.244544903\n", + "Condition number: 1016.6953838933143\n", + "Minimal eigen value: 0.9075873160350136\n", + "Eigen values: [9.22739835e+02 2.81642447e+02 9.07587316e-01 2.37745440e+00]\n", + "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", + " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", + " [-0.13533435 0.93253239 -0.26619814 0.20299388]\n", + " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", + "This is the 154 run out of 162 run.\n", + "The code has run 207.0104 seconds.\n", + "Estimated remaining time: 10.7538 seconds\n", + "(5.0, 550.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 155 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 33.42646128 8.35944401 -89.81066931 -33.72058097]\n", + " [ 8.35944401 32.21877784 -17.42991033 -158.35560484]\n", + " [ -89.81066931 -17.42991033 254.19373028 75.25517256]\n", + " [ -33.72058097 -158.35560484 75.25517256 830.15519359]]\n", + "Trace: 1149.9941629861146\n", + "Determinant: 513459.05664163764\n", + "Condition number: 1009.1034533531276\n", + "Minimal eigen value: 0.8647458183914464\n", + "Eigen values: [8.72617992e+02 2.74028305e+02 8.64745818e-01 2.48312030e+00]\n", + "Eigen vectors: [[ 0.0549935 -0.32812852 -0.75602079 0.56368427]\n", + " [ 0.18644071 0.01443566 0.59187188 0.78404028]\n", + " [-0.13153067 0.93376588 -0.2587196 0.2093923 ]\n", + " [-0.97206752 -0.14214279 0.10575638 0.15393425]]\n", + "This is the 155 run out of 162 run.\n", + "The code has run 208.4038 seconds.\n", + "Estimated remaining time: 9.4118 seconds\n", + "(5.0, 550.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 156 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 33.42646128 8.35944401 -89.81066931 -33.72058097]\n", + " [ 8.35944401 32.21877784 -17.42991033 -158.35560484]\n", + " [ -89.81066931 -17.42991033 254.19373028 75.25517256]\n", + " [ -33.72058097 -158.35560484 75.25517256 830.15519359]]\n", + "Trace: 1149.9941629861146\n", + "Determinant: 513459.05664163764\n", + "Condition number: 1009.1034533531276\n", + "Minimal eigen value: 0.8647458183914464\n", + "Eigen values: [8.72617992e+02 2.74028305e+02 8.64745818e-01 2.48312030e+00]\n", + "Eigen vectors: [[ 0.0549935 -0.32812852 -0.75602079 0.56368427]\n", + " [ 0.18644071 0.01443566 0.59187188 0.78404028]\n", + " [-0.13153067 0.93376588 -0.2587196 0.2093923 ]\n", + " [-0.97206752 -0.14214279 0.10575638 0.15393425]]\n", + "This is the 156 run out of 162 run.\n", + "The code has run 209.8004 seconds.\n", + "Estimated remaining time: 8.0692 seconds\n", + "(5.0, 600.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 157 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.46193631 7.89946484 -87.6342104 -31.52509933]\n", + " [ 7.89946484 30.55560189 -16.29518665 -151.74607116]\n", + " [ -87.6342104 -16.29518665 249.65652434 70.45831169]\n", + " [ -31.52509933 -151.74607116 70.45831169 804.97755171]]\n", + "Trace: 1117.6516142451649\n", + "Determinant: 454517.04885885824\n", + "Condition number: 1059.7997094874358\n", + "Minimal eigen value: 0.7970814188484145\n", + "Eigen values: [8.44746656e+02 2.69604106e+02 7.97081419e-01 2.50377045e+00]\n", + "Eigen vectors: [[ 0.05337759 -0.32661762 -0.7403787 0.58507363]\n", + " [ 0.18442587 0.01338178 0.61386088 0.76745218]\n", + " [-0.12811295 0.93486205 -0.25133676 0.21552227]\n", + " [-0.97299795 -0.1384731 0.10883033 0.14918496]]\n", + "This is the 157 run out of 162 run.\n", + "The code has run 211.3078 seconds.\n", + "Estimated remaining time: 6.7295 seconds\n", + "(5.0, 600.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 158 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.46193631 7.89946484 -87.6342104 -31.52509933]\n", + " [ 7.89946484 30.55560189 -16.29518665 -151.74607116]\n", + " [ -87.6342104 -16.29518665 249.65652434 70.45831169]\n", + " [ -31.52509933 -151.74607116 70.45831169 804.97755171]]\n", + "Trace: 1117.6516142451649\n", + "Determinant: 454517.04885885824\n", + "Condition number: 1059.7997094874358\n", + "Minimal eigen value: 0.7970814188484145\n", + "Eigen values: [8.44746656e+02 2.69604106e+02 7.97081419e-01 2.50377045e+00]\n", + "Eigen vectors: [[ 0.05337759 -0.32661762 -0.7403787 0.58507363]\n", + " [ 0.18442587 0.01338178 0.61386088 0.76745218]\n", + " [-0.12811295 0.93486205 -0.25133676 0.21552227]\n", + " [-0.97299795 -0.1384731 0.10883033 0.14918496]]\n", + "This is the 158 run out of 162 run.\n", + "The code has run 212.7836 seconds.\n", + "Estimated remaining time: 5.3869 seconds\n", + "(5.0, 650.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 159 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.71035796 7.42525356 -86.0990254 -29.62775912]\n", + " [ 7.42525356 29.26195047 -15.31455591 -147.18223271]\n", + " [ -86.0990254 -15.31455591 246.74015456 66.82846121]\n", + " [ -29.62775912 -147.18223271 66.82846121 789.36909062]]\n", + "Trace: 1097.0815536086095\n", + "Determinant: 390533.5375384314\n", + "Condition number: 1134.9974877008417\n", + "Minimal eigen value: 0.7286990827395959\n", + "Eigen values: [8.27071628e+02 2.66852968e+02 7.28699083e-01 2.42825870e+00]\n", + "Eigen vectors: [[ 0.05147169 -0.32532815 -0.7232187 0.6070148 ]\n", + " [ 0.18254089 0.01284389 0.63625522 0.74946191]\n", + " [-0.12460497 0.93589476 -0.24399628 0.22145072]\n", + " [-0.97391123 -0.13452744 0.11224889 0.14422019]]\n", + "This is the 159 run out of 162 run.\n", + "The code has run 214.2833 seconds.\n", + "Estimated remaining time: 4.0431 seconds\n", + "(5.0, 650.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 160 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.71035796 7.42525356 -86.0990254 -29.62775912]\n", + " [ 7.42525356 29.26195047 -15.31455591 -147.18223271]\n", + " [ -86.0990254 -15.31455591 246.74015456 66.82846121]\n", + " [ -29.62775912 -147.18223271 66.82846121 789.36909062]]\n", + "Trace: 1097.0815536086095\n", + "Determinant: 390533.5375384314\n", + "Condition number: 1134.9974877008417\n", + "Minimal eigen value: 0.7286990827395959\n", + "Eigen values: [8.27071628e+02 2.66852968e+02 7.28699083e-01 2.42825870e+00]\n", + "Eigen vectors: [[ 0.05147169 -0.32532815 -0.7232187 0.6070148 ]\n", + " [ 0.18254089 0.01284389 0.63625522 0.74946191]\n", + " [-0.12460497 0.93589476 -0.24399628 0.22145072]\n", + " [-0.97391123 -0.13452744 0.11224889 0.14422019]]\n", + "This is the 160 run out of 162 run.\n", + "The code has run 215.8663 seconds.\n", + "Estimated remaining time: 2.6983 seconds\n", + "(5.0, 700.0, 300)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 161 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", + " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", + " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", + " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", + "Trace: 1083.6008663096845\n", + "Determinant: 330586.4905784959\n", + "Condition number: 1212.388775069196\n", + "Minimal eigen value: 0.6727727401066618\n", + "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", + "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", + " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", + " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", + " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", + "This is the 161 run out of 162 run.\n", + "The code has run 217.3896 seconds.\n", + "Estimated remaining time: 1.3502 seconds\n", + "(5.0, 700.0, 500)\n", + "0\n", + "[0]\n", + "1\n", + "[0]\n", + "2\n", + "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "=======This is the 162 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", + " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", + " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", + " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", + "Trace: 1083.6008663096845\n", + "Determinant: 330586.4905784959\n", + "Condition number: 1212.388775069196\n", + "Minimal eigen value: 0.6727727401066618\n", + "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", + "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", + " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", + " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", + " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", + "This is the 162 run out of 162 run.\n", + "The code has run 218.9364 seconds.\n", + "Estimated remaining time: 0.0000 seconds\n", + "The whole run takes 218.93642497062683 s.\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", " prior_FIM=prior_pass, discretize_model=disc)\n", "\n", - "all_fim = doe_object.run_grid_search(exp1, design_ranges, dv_apply_time, \n", - " mode='sequential_sipopt', \n", + "all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", + " mode='sequential_finite', \n", " scale_nominal_param_value=True\n", " )" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "76003ddb", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'list' object has no attribute 'keys'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_36780/85711696.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mheatmap\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGrid_Search_Result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdesign_ranges\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mall_fim\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstore_optimality_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'test_heatmap.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mheatmap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheatmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Reactor case'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'$C_{A0}$ [M]'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'T [K]'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/pyomo/pyomo/contrib/doe/DoE_package.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, dv_ranges, FIM_result_list, store_optimality_name, verbose)\u001b[0m\n\u001b[1;32m 1603\u001b[0m '''\n\u001b[1;32m 1604\u001b[0m \u001b[0;31m# design variables\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1605\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdv_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdv_ranges\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1606\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdv_ranges\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdv_ranges\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1607\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFIM_result_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mFIM_result_list\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'keys'" + ] + } + ], "source": [ "heatmap = Grid_Search_Result(design_ranges, all_fim, store_optimality_name='test_heatmap.csv')\n", "\n", "heatmap.heatmap('Reactor case', '$C_{A0}$ [M]', 'T [K]')" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "85e0c7c7", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From f40b99b97721976eabfa6b873ae4b767903a55ae Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Fri, 6 Aug 2021 10:02:00 -0400 Subject: [PATCH 06/42] update grid search function to support any dimension --- pyomo/contrib/doe/DoE_package.py | 72 +- pyomo/contrib/doe/reactor_control_doe.ipynb | 4664 +------------------ 2 files changed, 228 insertions(+), 4508 deletions(-) diff --git a/pyomo/contrib/doe/DoE_package.py b/pyomo/contrib/doe/DoE_package.py index b6866e8571a..a1fd1647f4c 100644 --- a/pyomo/contrib/doe/DoE_package.py +++ b/pyomo/contrib/doe/DoE_package.py @@ -95,16 +95,6 @@ def __check_inputs(self, check_mode=False, check_dimension_dv=False): if self.mode not in ['simultaneous_finite', 'sequential_finite', 'sequential_sipopt', 'sequential_kaug']: print('Wrong mode. Choose from "simultaneous_finite", "sequential_finite", "0sequential_sipopt", "sequential_kaug"') - if check_dimension_dv: - # input check, only for heatmap - # check if there are two design variables and two ranges - grid_search_dv_dimension = 0 - for i in self.dv_name: - if i in self.dv_apply_time: - grid_search_dv_dimension += len((self.dv_apply_time[i])) - if grid_search_dv_dimension != 2: - raise ValueError('Deign variable should be 2') - def optimize_doe(self, design_values, if_optimize=True, obj_opt='det', @@ -552,21 +542,18 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, ------- result_combine: a list of dictionaries, which stores the FIM info from every grid searched. ''' - self.design_ranges = design_ranges - self.design_dimension_names = design_dimension_names - self.design_control_time = design_control_time - self.formula = formula - self.mode = mode - self.scale_nominal_param_value = scale_nominal_param_value - self.scale_constant_value = scale_constant_value + #self.formula = formula + #self.mode = mode + #self.scale_nominal_param_value = scale_nominal_param_value + #self.scale_constant_value = scale_constant_value # Set the Objective Function to 0 helps solve square problem quickly self.obj_opt='zero' self.filename = filename # calculate how much the FIM element is scaled - self.fim_scale_constant_value = self.scale_constant_value ** 2 + self.fim_scale_constant_value = scale_constant_value ** 2 - self.__check_inputs(check_mode=True, check_dimension_dv=False) + #self.__check_inputs(check_mode=True, check_dimension_dv=False) # when defining design space, design variable values are defined as in design_values argument # the design var value defined in dv_ranges only applies to control time points given in dv_apply_time @@ -584,6 +571,7 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, total_count = 1 for i in range(grid_dimension): total_count *= len(design_ranges[i]) + print(total_count, ' design vectors will be searched.') # generate combinations of design variable values to go over search_design_set = product(*design_ranges) @@ -596,7 +584,7 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, # update the controlled value of certain time points for certain design variables for i in range(grid_dimension): - for v, value in enumerate(self.design_control_time[i]): + for v, value in enumerate(design_control_time[i]): design_iter[design_dimension_names[i]][value] = list(design_set_iter)[i] print('=======This is the ', count+1, 'th iteration=======') @@ -605,18 +593,19 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, t_each_begin = time.time() # call compute_FIM to get FIM - result_iter = self.compute_FIM(design_iter, mode=self.mode, + result_iter = self.compute_FIM(design_iter, mode=mode, tee_opt=tee_option, - scale_nominal_param_value=self.scale_nominal_param_value, + scale_nominal_param_value=scale_nominal_param_value, + scale_constant_value = scale_constant_value, formula=formula, step=step) - if (self.mode=='simultaneous_finite'): - result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.obj_opt) + if (mode=='simultaneous_finite'): + result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, obj_opt) - elif (self.mode == 'sequential_finite'): + elif (mode == 'sequential_finite'): result_iter.calculate_FIM(self.jac, self.design_values) - elif (self.mode == 'sequential_sipopt'): + elif (mode == 'sequential_sipopt'): result_iter.calculate_FIM(self.jac, self.design_values) t_now = time.time() @@ -633,13 +622,19 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, t_end = time.time() print('The whole run takes ', t_end - t_begin, ' s.') + # For user's access + self.all_fim = result_combine + + # Create figure drawing object + figure_draw_object = Grid_Search_Result(design_ranges, design_dimension_names, design_control_time, result_combine) + # store results if self.filename is not None: f = open(filename, 'wb') pickle.dump(result_combine, f) f.close() - return result_combine + return figure_draw_object def sensitivity_analysis_1D(self, design_values, design_var_range, sensitivity_step=0.1, compare_opt='D', mode='sequential_finite', tee_option=False, @@ -1581,7 +1576,7 @@ def __get_solver_info(self): class Grid_Search_Result: - def __init__(self, dv_ranges, FIM_result_list, store_optimality_name=None, verbose=True): + def __init__(self, design_ranges, design_dimension_names, design_control_time, FIM_result_list, store_optimality_name=None, verbose=True): ''' This class deals with the FIM results from grid search, turns them into heatmaps. @@ -1598,11 +1593,14 @@ def __init__(self, dv_ranges, FIM_result_list, store_optimality_name=None, verbo heatmap ''' # design variables - self.dv_names = list(dv_ranges.keys()) - self.dv_ranges = dv_ranges + self.design_names = design_dimension_names + self.design_ranges = design_ranges + self.design_control_time = design_control_time self.FIM_result_list = FIM_result_list - self.len_range1 = len(dv_ranges[self.dv_names[0]]) - self.len_range2 = len(dv_ranges[self.dv_names[1]]) + + + #self.len_range1 = len(dv_ranges[self.dv_names[0]]) + #self.len_range2 = len(dv_ranges[self.dv_names[1]]) self.store_optimality_name = store_optimality_name self.verbose = verbose @@ -1664,6 +1662,16 @@ def __extract_criteria(self): store_df = pd.DataFrame(store_all_results, columns=column_names) store_df.to_csv(self.store_optimality_name, index=False) + def curve1D(self, sensitivity_ranges): + ''' + Draw 1D sensitivity analysis. It can be applied to results of any dimensions, but requires design variable values in other dimensions be fixed. + Returns: + + ''' + return None + + def heatmap3D(self): + def heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True): ''' draw heatmaps of the three criteria diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index eb345e33b4f..7f8a1bfabe6 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -494,7 +494,7 @@ "outputs": [], "source": [ "#design_ranges = {'CA0':list(np.linspace(1,5,9)), 'T': list(np.linspace(300,700,9))}\n", - "design_ranges = [list(np.linspace(1,5,9)), list(np.linspace(300,700,9)), [300,500]]\n", + "design_ranges = [list(np.linspace(1,5,2)), list(np.linspace(300,700,2)), [300,500]]\n", "\n", "#dv_apply_time = {'CA0': [0], 'T': t_control}\n", "dv_apply_name = ['CA0', 'T', 'T']\n", @@ -507,40 +507,6 @@ " exp1 = generate_exp(t_control, 5, [500])" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "33ba5678", - "metadata": {}, - "outputs": [], - "source": [ - "a = {'1': [5, 4], '66':[7,8]}\n", - "b = a.copy()\n", - "print(b)\n", - "b['66'][1] = 4\n", - "print(b)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "92bb574c", - "metadata": {}, - "outputs": [], - "source": [ - "from itertools import product \n", - "\n", - "dv_list = [list(np.linspace(1,5,9)), list(np.linspace(300,700,9)), [300]]\n", - "\n", - "#x = product(list(np.linspace(1,5,9)), list(np.linspace(300,700,9)), [5,6])\n", - "x = product(*dv_list)\n", - "\n", - "print(x)\n", - "\n", - "for i in x:\n", - " print(list(i))" - ] - }, { "cell_type": "code", "execution_count": 7, @@ -553,14 +519,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "(1.0, 300.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "8 design vectors will be searched.\n", "=======This is the 1 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -578,16 +537,9 @@ " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", - "This is the 1 run out of 162 run.\n", - "The code has run 1.1373 seconds.\n", - "Estimated remaining time: 183.0989 seconds\n", - "(1.0, 300.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "This is the 1 run out of 8 run.\n", + "The code has run 1.2601 seconds.\n", + "Estimated remaining time: 8.8209 seconds\n", "=======This is the 2 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -605,407 +557,10 @@ " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", - "This is the 2 run out of 162 run.\n", - "The code has run 2.2290 seconds.\n", - "Estimated remaining time: 178.3221 seconds\n", - "(1.0, 350.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "This is the 2 run out of 8 run.\n", + "The code has run 2.4993 seconds.\n", + "Estimated remaining time: 7.4980 seconds\n", "=======This is the 3 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.32275018 5.73052082 -83.45733449 -25.66817709]\n", - " [ 5.73052082 27.64850163 -13.26806928 -145.64721142]\n", - " [ -83.45733449 -13.26806928 245.06096284 63.15882951]\n", - " [ -25.66817709 -145.64721142 63.15882951 800.38603338]]\n", - "Trace: 1102.4182480406644\n", - "Determinant: 150855.125045628\n", - "Condition number: 1705.3048930035557\n", - "Minimal eigen value: 0.48997231855823686\n", - "Eigen values: [8.35552192e+02 2.64985514e+02 4.89972319e-01 1.39056985e+00]\n", - "Eigen vectors: [[ 0.04421991 -0.31912029 -0.77638562 0.54169383]\n", - " [ 0.17820018 0.01472016 0.5657347 0.80496724]\n", - " [-0.1146775 0.93969452 -0.2597058 0.19072538]\n", - " [-0.97628805 -0.12214649 0.0986028 0.14906159]]\n", - "This is the 3 run out of 162 run.\n", - "The code has run 3.3339 seconds.\n", - "Estimated remaining time: 176.6948 seconds\n", - "(1.0, 350.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 4 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.32275018 5.73052082 -83.45733449 -25.66817709]\n", - " [ 5.73052082 27.64850163 -13.26806928 -145.64721142]\n", - " [ -83.45733449 -13.26806928 245.06096284 63.15882951]\n", - " [ -25.66817709 -145.64721142 63.15882951 800.38603338]]\n", - "Trace: 1102.4182480406644\n", - "Determinant: 150855.125045628\n", - "Condition number: 1705.3048930035557\n", - "Minimal eigen value: 0.48997231855823686\n", - "Eigen values: [8.35552192e+02 2.64985514e+02 4.89972319e-01 1.39056985e+00]\n", - "Eigen vectors: [[ 0.04421991 -0.31912029 -0.77638562 0.54169383]\n", - " [ 0.17820018 0.01472016 0.5657347 0.80496724]\n", - " [-0.1146775 0.93969452 -0.2597058 0.19072538]\n", - " [-0.97628805 -0.12214649 0.0986028 0.14906159]]\n", - "This is the 4 run out of 162 run.\n", - "The code has run 4.4343 seconds.\n", - "Estimated remaining time: 175.1536 seconds\n", - "(1.0, 400.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 5 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.13959316 5.68057605 -82.8139664 -25.23666085]\n", - " [ 5.68057605 27.27296764 -13.04504074 -143.14725332]\n", - " [ -82.8139664 -13.04504074 242.98173477 61.60044815]\n", - " [ -25.23666085 -143.14725332 61.60044815 784.93406012]]\n", - "Trace: 1084.3283557002067\n", - "Determinant: 152039.07832960782\n", - "Condition number: 1641.2051904546718\n", - "Minimal eigen value: 0.4993357281605193\n", - "Eigen values: [8.19512389e+02 2.62903408e+02 4.99335728e-01 1.41322349e+00]\n", - "Eigen vectors: [[ 0.04447521 -0.31931057 -0.77803254 0.53919206]\n", - " [ 0.17859423 0.01458837 0.56323502 0.80663349]\n", - " [-0.11473313 0.93961044 -0.26036328 0.19020907]\n", - " [-0.97619791 -0.12231173 0.09819695 0.14978263]]\n", - "This is the 5 run out of 162 run.\n", - "The code has run 5.6978 seconds.\n", - "Estimated remaining time: 178.9120 seconds\n", - "(1.0, 400.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 6 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.13959316 5.68057605 -82.8139664 -25.23666085]\n", - " [ 5.68057605 27.27296764 -13.04504074 -143.14725332]\n", - " [ -82.8139664 -13.04504074 242.98173477 61.60044815]\n", - " [ -25.23666085 -143.14725332 61.60044815 784.93406012]]\n", - "Trace: 1084.3283557002067\n", - "Determinant: 152039.07832960782\n", - "Condition number: 1641.2051904546718\n", - "Minimal eigen value: 0.4993357281605193\n", - "Eigen values: [8.19512389e+02 2.62903408e+02 4.99335728e-01 1.41322349e+00]\n", - "Eigen vectors: [[ 0.04447521 -0.31931057 -0.77803254 0.53919206]\n", - " [ 0.17859423 0.01458837 0.56323502 0.80663349]\n", - " [-0.11473313 0.93961044 -0.26036328 0.19020907]\n", - " [-0.97619791 -0.12231173 0.09819695 0.14978263]]\n", - "This is the 6 run out of 162 run.\n", - "The code has run 7.0821 seconds.\n", - "Estimated remaining time: 184.1342 seconds\n", - "(1.0, 450.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 7 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.01044333 5.6006748 -82.42582703 -24.78056053]\n", - " [ 5.6006748 26.92260118 -12.8093067 -141.30405073]\n", - " [ -82.42582703 -12.8093067 241.89507006 60.33727148]\n", - " [ -24.78056053 -141.30405073 60.33727148 775.5570763 ]]\n", - "Trace: 1073.3851908623308\n", - "Determinant: 152189.04419265324\n", - "Condition number: 1609.9994023835127\n", - "Minimal eigen value: 0.5028391663221075\n", - "Eigen values: [8.09570757e+02 2.61884047e+02 5.02839166e-01 1.42754706e+00]\n", - "Eigen vectors: [[ 0.04433757 -0.31929264 -0.77731938 0.54024159]\n", - " [ 0.17845201 0.014419 0.56435213 0.80588687]\n", - " [-0.1142325 0.93968376 -0.2600425 0.19058663]\n", - " [-0.97628889 -0.12181434 0.09828098 0.14953969]]\n", - "This is the 7 run out of 162 run.\n", - "The code has run 8.3802 seconds.\n", - "Estimated remaining time: 185.5607 seconds\n", - "(1.0, 450.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 8 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 29.01044333 5.6006748 -82.42582703 -24.78056053]\n", - " [ 5.6006748 26.92260118 -12.8093067 -141.30405073]\n", - " [ -82.42582703 -12.8093067 241.89507006 60.33727148]\n", - " [ -24.78056053 -141.30405073 60.33727148 775.5570763 ]]\n", - "Trace: 1073.3851908623308\n", - "Determinant: 152189.04419265324\n", - "Condition number: 1609.9994023835127\n", - "Minimal eigen value: 0.5028391663221075\n", - "Eigen values: [8.09570757e+02 2.61884047e+02 5.02839166e-01 1.42754706e+00]\n", - "Eigen vectors: [[ 0.04433757 -0.31929264 -0.77731938 0.54024159]\n", - " [ 0.17845201 0.014419 0.56435213 0.80588687]\n", - " [-0.1142325 0.93968376 -0.2600425 0.19058663]\n", - " [-0.97628889 -0.12181434 0.09828098 0.14953969]]\n", - "This is the 8 run out of 162 run.\n", - "The code has run 9.6194 seconds.\n", - "Estimated remaining time: 185.1740 seconds\n", - "(1.0, 500.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 9 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.92490828 5.55538372 -82.19690664 -24.54095093]\n", - " [ 5.55538372 26.74178551 -12.68546547 -140.44317569]\n", - " [ -82.19690664 -12.68546547 241.32359269 59.73172413]\n", - " [ -24.54095093 -140.44317569 59.73172413 771.61101462]]\n", - "Trace: 1068.6013010931579\n", - "Determinant: 151629.20405875487\n", - "Condition number: 1602.4379552920132\n", - "Minimal eigen value: 0.5025670284947488\n", - "Eigen values: [8.05332482e+02 2.61332679e+02 5.02567028e-01 1.43357337e+00]\n", - "Eigen vectors: [[ 0.04419056 -0.31920854 -0.77605387 0.54211945]\n", - " [ 0.17828909 0.01431314 0.56629712 0.80455932]\n", - " [-0.11385326 0.93976516 -0.25949412 0.19115878]\n", - " [-0.97636962 -0.12141862 0.09854321 0.14916141]]\n", - "This is the 9 run out of 162 run.\n", - "The code has run 10.8903 seconds.\n", - "Estimated remaining time: 185.1346 seconds\n", - "(1.0, 500.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 10 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.92490828 5.55538372 -82.19690664 -24.54095093]\n", - " [ 5.55538372 26.74178551 -12.68546547 -140.44317569]\n", - " [ -82.19690664 -12.68546547 241.32359269 59.73172413]\n", - " [ -24.54095093 -140.44317569 59.73172413 771.61101462]]\n", - "Trace: 1068.6013010931579\n", - "Determinant: 151629.20405875487\n", - "Condition number: 1602.4379552920132\n", - "Minimal eigen value: 0.5025670284947488\n", - "Eigen values: [8.05332482e+02 2.61332679e+02 5.02567028e-01 1.43357337e+00]\n", - "Eigen vectors: [[ 0.04419056 -0.31920854 -0.77605387 0.54211945]\n", - " [ 0.17828909 0.01431314 0.56629712 0.80455932]\n", - " [-0.11385326 0.93976516 -0.25949412 0.19115878]\n", - " [-0.97636962 -0.12141862 0.09854321 0.14916141]]\n", - "This is the 10 run out of 162 run.\n", - "The code has run 12.2919 seconds.\n", - "Estimated remaining time: 186.8376 seconds\n", - "(1.0, 550.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 11 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.86882939 5.53037525 -82.05970295 -24.41164554]\n", - " [ 5.53037525 26.64172746 -12.6186346 -140.0045525 ]\n", - " [ -82.05970295 -12.6186346 241.01199885 59.42386584]\n", - " [ -24.41164554 -140.0045525 59.42386584 769.77181902]]\n", - "Trace: 1066.294374711943\n", - "Determinant: 150651.09426599584\n", - "Condition number: 1605.4640856393876\n", - "Minimal eigen value: 0.5003756301004131\n", - "Eigen values: [8.03335103e+02 2.61023074e+02 5.00375630e-01 1.43582164e+00]\n", - "Eigen vectors: [[ 0.04408811 -0.31912119 -0.77484501 0.54390542]\n", - " [ 0.17816725 0.0142491 0.56813973 0.80328739]\n", - " [-0.11361614 0.93982827 -0.25897468 0.19169326]\n", - " [-0.97642411 -0.12116701 0.09881581 0.14882859]]\n", - "This is the 11 run out of 162 run.\n", - "The code has run 13.6361 seconds.\n", - "Estimated remaining time: 187.1865 seconds\n", - "(1.0, 550.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 12 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.86882939 5.53037525 -82.05970295 -24.41164554]\n", - " [ 5.53037525 26.64172746 -12.6186346 -140.0045525 ]\n", - " [ -82.05970295 -12.6186346 241.01199885 59.42386584]\n", - " [ -24.41164554 -140.0045525 59.42386584 769.77181902]]\n", - "Trace: 1066.294374711943\n", - "Determinant: 150651.09426599584\n", - "Condition number: 1605.4640856393876\n", - "Minimal eigen value: 0.5003756301004131\n", - "Eigen values: [8.03335103e+02 2.61023074e+02 5.00375630e-01 1.43582164e+00]\n", - "Eigen vectors: [[ 0.04408811 -0.31912119 -0.77484501 0.54390542]\n", - " [ 0.17816725 0.0142491 0.56813973 0.80328739]\n", - " [-0.11361614 0.93982827 -0.25897468 0.19169326]\n", - " [-0.97642411 -0.12116701 0.09881581 0.14882859]]\n", - "This is the 12 run out of 162 run.\n", - "The code has run 14.9395 seconds.\n", - "Estimated remaining time: 186.7442 seconds\n", - "(1.0, 600.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 13 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.83024839 5.51197609 -81.9726446 -24.32382628]\n", - " [ 5.51197609 26.57520042 -12.57324566 -139.74017115]\n", - " [ -81.9726446 -12.57324566 240.83051064 59.23199143]\n", - " [ -24.32382628 -139.74017115 59.23199143 768.76471335]]\n", - "Trace: 1065.0006727945133\n", - "Determinant: 149413.08866872228\n", - "Condition number: 1612.3033965284394\n", - "Minimal eigen value: 0.4975647310687059\n", - "Eigen values: [8.02225306e+02 2.60842762e+02 4.97564731e-01 1.43503967e+00]\n", - "Eigen vectors: [[ 0.04400313 -0.31904919 -0.77362392 0.54568981]\n", - " [ 0.17807049 0.01421057 0.56997784 0.80200637]\n", - " [-0.11343891 0.93987811 -0.25847425 0.19222854]\n", - " [-0.9764662 -0.12097442 0.09910778 0.14851464]]\n", - "This is the 13 run out of 162 run.\n", - "The code has run 16.2990 seconds.\n", - "Estimated remaining time: 186.8119 seconds\n", - "(1.0, 600.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 14 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.83024839 5.51197609 -81.9726446 -24.32382628]\n", - " [ 5.51197609 26.57520042 -12.57324566 -139.74017115]\n", - " [ -81.9726446 -12.57324566 240.83051064 59.23199143]\n", - " [ -24.32382628 -139.74017115 59.23199143 768.76471335]]\n", - "Trace: 1065.0006727945133\n", - "Determinant: 149413.08866872228\n", - "Condition number: 1612.3033965284394\n", - "Minimal eigen value: 0.4975647310687059\n", - "Eigen values: [8.02225306e+02 2.60842762e+02 4.97564731e-01 1.43503967e+00]\n", - "Eigen vectors: [[ 0.04400313 -0.31904919 -0.77362392 0.54568981]\n", - " [ 0.17807049 0.01421057 0.56997784 0.80200637]\n", - " [-0.11343891 0.93987811 -0.25847425 0.19222854]\n", - " [-0.9764662 -0.12097442 0.09910778 0.14851464]]\n", - "This is the 14 run out of 162 run.\n", - "The code has run 17.5690 seconds.\n", - "Estimated remaining time: 185.7298 seconds\n", - "(1.0, 650.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 15 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 28.80018525 5.49300764 -81.91123719 -24.24793267]\n", - " [ 5.49300764 26.52345436 -12.53402042 -139.55761761]\n", - " [ -81.91123719 -12.53402042 240.71385582 59.08679739]\n", - " [ -24.24793267 -139.55761761 59.08679739 768.1403749 ]]\n", - "Trace: 1064.1778703392624\n", - "Determinant: 147983.78531466573\n", - "Condition number: 1619.2882874718866\n", - "Minimal eigen value: 0.49498422928574204\n", - "Eigen values: [8.01522165e+02 2.60730128e+02 4.94984229e-01 1.43059273e+00]\n", - "Eigen vectors: [[ 0.04391558 -0.31898969 -0.77249369 0.54733034]\n", - " [ 0.17798693 0.01419347 0.57166177 0.80082584]\n", - " [-0.11327681 0.93992205 -0.25802797 0.19270827]\n", - " [-0.97650419 -0.12079184 0.09938759 0.14822618]]\n", - "This is the 15 run out of 162 run.\n", - "The code has run 18.8551 seconds.\n", - "Estimated remaining time: 184.7795 seconds\n", - "(1.0, 650.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 16 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.80018525 5.49300764 -81.91123719 -24.24793267]\n", - " [ 5.49300764 26.52345436 -12.53402042 -139.55761761]\n", - " [ -81.91123719 -12.53402042 240.71385582 59.08679739]\n", - " [ -24.24793267 -139.55761761 59.08679739 768.1403749 ]]\n", - "Trace: 1064.1778703392624\n", - "Determinant: 147983.78531466573\n", - "Condition number: 1619.2882874718866\n", - "Minimal eigen value: 0.49498422928574204\n", - "Eigen values: [8.01522165e+02 2.60730128e+02 4.94984229e-01 1.43059273e+00]\n", - "Eigen vectors: [[ 0.04391558 -0.31898969 -0.77249369 0.54733034]\n", - " [ 0.17798693 0.01419347 0.57166177 0.80082584]\n", - " [-0.11327681 0.93992205 -0.25802797 0.19270827]\n", - " [-0.97650419 -0.12079184 0.09938759 0.14822618]]\n", - "This is the 16 run out of 162 run.\n", - "The code has run 20.1550 seconds.\n", - "Estimated remaining time: 183.9143 seconds\n", - "(1.0, 700.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 17 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", "Existed information has been added.\n", @@ -1022,17 +577,10 @@ " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", - "This is the 17 run out of 162 run.\n", - "The code has run 21.4631 seconds.\n", - "Estimated remaining time: 183.0679 seconds\n", - "(1.0, 700.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 18 th iteration=======\n", + "This is the 3 run out of 8 run.\n", + "The code has run 3.9796 seconds.\n", + "Estimated remaining time: 6.6326 seconds\n", + "=======This is the 4 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", "Existed information has been added.\n", @@ -1049,4027 +597,204 @@ " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", - "This is the 18 run out of 162 run.\n", - "The code has run 22.8267 seconds.\n", - "Estimated remaining time: 182.6135 seconds\n", - "(1.5, 300.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 19 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.70641355 5.57815178 -88.05817863 -25.02307897]\n", - " [ 5.57815178 28.03819545 -12.93465209 -149.06593851]\n", - " [ -88.05817863 -12.93465209 260.17215396 61.87992411]\n", - " [ -25.02307897 -149.06593851 61.87992411 826.53130085]]\n", - "Trace: 1145.4480638161667\n", - "Determinant: 166581.38467009662\n", - "Condition number: 1768.1232464410234\n", - "Minimal eigen value: 0.48728421389676346\n", - "Eigen values: [8.61578546e+02 2.81975090e+02 4.87284214e-01 1.40714388e+00]\n", - "Eigen vectors: [[ 0.04232893 -0.31766896 -0.77678944 0.54211886]\n", - " [ 0.17674052 0.01415152 0.56581838 0.80524039]\n", - " [-0.11053633 0.94077102 -0.25856259 0.18941223]\n", - " [-0.97711451 -0.11762676 0.09794444 0.14770939]]\n", - "This is the 19 run out of 162 run.\n", - "The code has run 23.8490 seconds.\n", - "Estimated remaining time: 179.4953 seconds\n", - "(1.5, 300.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 20 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.70641355 5.57815178 -88.05817863 -25.02307897]\n", - " [ 5.57815178 28.03819545 -12.93465209 -149.06593851]\n", - " [ -88.05817863 -12.93465209 260.17215396 61.87992411]\n", - " [ -25.02307897 -149.06593851 61.87992411 826.53130085]]\n", - "Trace: 1145.4480638161667\n", - "Determinant: 166581.38467009662\n", - "Condition number: 1768.1232464410234\n", - "Minimal eigen value: 0.48728421389676346\n", - "Eigen values: [8.61578546e+02 2.81975090e+02 4.87284214e-01 1.40714388e+00]\n", - "Eigen vectors: [[ 0.04232893 -0.31766896 -0.77678944 0.54211886]\n", - " [ 0.17674052 0.01415152 0.56581838 0.80524039]\n", - " [-0.11053633 0.94077102 -0.25856259 0.18941223]\n", - " [-0.97711451 -0.11762676 0.09794444 0.14770939]]\n", - "This is the 20 run out of 162 run.\n", - "The code has run 24.9492 seconds.\n", - "Estimated remaining time: 177.1394 seconds\n", - "(1.5, 350.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 21 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.12752784 6.12805011 -85.60807009 -27.7236819 ]\n", - " [ 6.12805011 29.19744073 -14.3304499 -153.65631904]\n", - " [ -85.60807009 -14.3304499 250.80871635 68.65208131]\n", - " [ -27.7236819 -153.65631904 68.65208131 841.79876875]]\n", - "Trace: 1151.9324536678646\n", - "Determinant: 164685.70018609465\n", - "Condition number: 1771.4801724742997\n", - "Minimal eigen value: 0.4964321047417337\n", - "Eigen values: [8.79419631e+02 2.70622477e+02 4.96432105e-01 1.39391410e+00]\n", - "Eigen vectors: [[ 0.04491711 -0.31961785 -0.77643054 0.54127858]\n", - " [ 0.17866548 0.01524896 0.5653439 0.8051288 ]\n", - " [-0.11677295 0.93923424 -0.26030484 0.19090448]\n", - " [-0.97592273 -0.12430185 0.09891048 0.14946769]]\n", - "This is the 21 run out of 162 run.\n", - "The code has run 25.9836 seconds.\n", - "Estimated remaining time: 174.4614 seconds\n", - "(1.5, 350.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 22 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 30.12752784 6.12805011 -85.60807009 -27.7236819 ]\n", - " [ 6.12805011 29.19744073 -14.3304499 -153.65631904]\n", - " [ -85.60807009 -14.3304499 250.80871635 68.65208131]\n", - " [ -27.7236819 -153.65631904 68.65208131 841.79876875]]\n", - "Trace: 1151.9324536678646\n", - "Determinant: 164685.70018609465\n", - "Condition number: 1771.4801724742997\n", - "Minimal eigen value: 0.4964321047417337\n", - "Eigen values: [8.79419631e+02 2.70622477e+02 4.96432105e-01 1.39391410e+00]\n", - "Eigen vectors: [[ 0.04491711 -0.31961785 -0.77643054 0.54127858]\n", - " [ 0.17866548 0.01524896 0.5653439 0.8051288 ]\n", - " [-0.11677295 0.93923424 -0.26030484 0.19090448]\n", - " [-0.97592273 -0.12430185 0.09891048 0.14946769]]\n", - "This is the 22 run out of 162 run.\n", - "The code has run 27.0056 seconds.\n", - "Estimated remaining time: 171.8538 seconds\n", - "(1.5, 400.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 23 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.71542453 6.01567437 -84.16049376 -26.75276831]\n", - " [ 6.01567437 28.35248924 -13.82864007 -148.03140872]\n", - " [ -84.16049376 -13.82864007 246.13046204 65.14573844]\n", - " [ -26.75276831 -148.03140872 65.14573844 807.03178755]]\n", - "Trace: 1111.2301633637778\n", - "Determinant: 167498.06622292424\n", - "Condition number: 1630.10789521531\n", - "Minimal eigen value: 0.5173475296016143\n", - "Eigen values: [8.43332293e+02 2.65936913e+02 5.17347530e-01 1.44361061e+00]\n", - "Eigen vectors: [[ 0.04551309 -0.32004255 -0.77992286 0.53593064]\n", - " [ 0.17954663 0.01498612 0.56000596 0.80866047]\n", - " [-0.11700624 0.93903051 -0.26172257 0.18982237]\n", - " [-0.97570544 -0.12477931 0.09805588 0.15104325]]\n", - "This is the 23 run out of 162 run.\n", - "The code has run 28.1972 seconds.\n", - "Estimated remaining time: 170.4090 seconds\n", - "(1.5, 400.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 24 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.71542453 6.01567437 -84.16049376 -26.75276831]\n", - " [ 6.01567437 28.35248924 -13.82864007 -148.03140872]\n", - " [ -84.16049376 -13.82864007 246.13046204 65.14573844]\n", - " [ -26.75276831 -148.03140872 65.14573844 807.03178755]]\n", - "Trace: 1111.2301633637778\n", - "Determinant: 167498.06622292424\n", - "Condition number: 1630.10789521531\n", - "Minimal eigen value: 0.5173475296016143\n", - "Eigen values: [8.43332293e+02 2.65936913e+02 5.17347530e-01 1.44361061e+00]\n", - "Eigen vectors: [[ 0.04551309 -0.32004255 -0.77992286 0.53593064]\n", - " [ 0.17954663 0.01498612 0.56000596 0.80866047]\n", - " [-0.11700624 0.93903051 -0.26172257 0.18982237]\n", - " [-0.97570544 -0.12477931 0.09805588 0.15104325]]\n", - "This is the 24 run out of 162 run.\n", - "The code has run 29.3724 seconds.\n", - "Estimated remaining time: 168.8915 seconds\n", - "(1.5, 450.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 25 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.42483742 5.83589657 -83.2871783 -25.72654463]\n", - " [ 5.83589657 27.56416471 -13.29823411 -143.88420751]\n", - " [ -83.2871783 -13.29823411 243.68545756 62.30357572]\n", - " [ -25.72654463 -143.88420751 62.30357572 785.93361533]]\n", - "Trace: 1086.6080750185051\n", - "Determinant: 167875.11552651896\n", - "Condition number: 1562.4478475438566\n", - "Minimal eigen value: 0.5254321774225026\n", - "Eigen values: [8.20960375e+02 2.63646133e+02 5.25432177e-01 1.47613493e+00]\n", - "Eigen vectors: [[ 0.04524413 -0.3200065 -0.77844675 0.53811659]\n", - " [ 0.17925728 0.01462011 0.56233951 0.8071105 ]\n", - " [-0.11598236 0.93918215 -0.26104818 0.19062748]\n", - " [-0.97589338 -0.12376989 0.09822824 0.1505468 ]]\n", - "This is the 25 run out of 162 run.\n", - "The code has run 30.5871 seconds.\n", - "Estimated remaining time: 167.6175 seconds\n", - "(1.5, 450.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 26 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.42483742 5.83589657 -83.2871783 -25.72654463]\n", - " [ 5.83589657 27.56416471 -13.29823411 -143.88420751]\n", - " [ -83.2871783 -13.29823411 243.68545756 62.30357572]\n", - " [ -25.72654463 -143.88420751 62.30357572 785.93361533]]\n", - "Trace: 1086.6080750185051\n", - "Determinant: 167875.11552651896\n", - "Condition number: 1562.4478475438566\n", - "Minimal eigen value: 0.5254321774225026\n", - "Eigen values: [8.20960375e+02 2.63646133e+02 5.25432177e-01 1.47613493e+00]\n", - "Eigen vectors: [[ 0.04524413 -0.3200065 -0.77844675 0.53811659]\n", - " [ 0.17925728 0.01462011 0.56233951 0.8071105 ]\n", - " [-0.11598236 0.93918215 -0.26104818 0.19062748]\n", - " [-0.97589338 -0.12376989 0.09822824 0.1505468 ]]\n", - "This is the 26 run out of 162 run.\n", - "The code has run 31.8199 seconds.\n", - "Estimated remaining time: 166.4426 seconds\n", - "(1.5, 500.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 27 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.23238356 5.73399164 -82.77210745 -25.18742309]\n", - " [ 5.73399164 27.15732946 -13.01959137 -141.94723866]\n", - " [ -82.77210745 -13.01959137 242.39963353 60.94109427]\n", - " [ -25.18742309 -141.94723866 60.94109427 777.05497655]]\n", - "Trace: 1075.8443231042434\n", - "Determinant: 166559.47639777444\n", - "Condition number: 1545.6906074240526\n", - "Minimal eigen value: 0.5249576134254763\n", - "Eigen values: [8.11422052e+02 2.62407189e+02 5.24957613e-01 1.49012456e+00]\n", - "Eigen vectors: [[ 0.04492884 -0.31982184 -0.77575625 0.54212326]\n", - " [ 0.17890315 0.01438423 0.56649127 0.80428503]\n", - " [-0.11516394 0.93936059 -0.2598682 0.19185273]\n", - " [-0.97606984 -0.12291775 0.09878462 0.14973475]]\n", - "This is the 27 run out of 162 run.\n", - "The code has run 33.1209 seconds.\n", - "Estimated remaining time: 165.6044 seconds\n", - "(1.5, 500.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 28 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.23238356 5.73399164 -82.77210745 -25.18742309]\n", - " [ 5.73399164 27.15732946 -13.01959137 -141.94723866]\n", - " [ -82.77210745 -13.01959137 242.39963353 60.94109427]\n", - " [ -25.18742309 -141.94723866 60.94109427 777.05497655]]\n", - "Trace: 1075.8443231042434\n", - "Determinant: 166559.47639777444\n", - "Condition number: 1545.6906074240526\n", - "Minimal eigen value: 0.5249576134254763\n", - "Eigen values: [8.11422052e+02 2.62407189e+02 5.24957613e-01 1.49012456e+00]\n", - "Eigen vectors: [[ 0.04492884 -0.31982184 -0.77575625 0.54212326]\n", - " [ 0.17890315 0.01438423 0.56649127 0.80428503]\n", - " [-0.11516394 0.93936059 -0.2598682 0.19185273]\n", - " [-0.97606984 -0.12291775 0.09878462 0.14973475]]\n", - "This is the 28 run out of 162 run.\n", - "The code has run 34.3384 seconds.\n", - "Estimated remaining time: 164.3336 seconds\n", - "(1.5, 550.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 29 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 29.10620604 5.67772258 -82.46339932 -24.89648593]\n", - " [ 5.67772258 26.93219884 -12.86922226 -140.9603365 ]\n", - " [ -82.46339932 -12.86922226 241.69854807 60.24841433]\n", - " [ -24.89648593 -140.9603365 60.24841433 772.91678654]]\n", - "Trace: 1070.65373948992\n", - "Determinant: 164251.619804841\n", - "Condition number: 1551.5407215360776\n", - "Minimal eigen value: 0.5200809843403219\n", - "Eigen values: [8.06926826e+02 2.61711348e+02 5.20080984e-01 1.49548471e+00]\n", - "Eigen vectors: [[ 0.04470411 -0.31962802 -0.77317125 0.54593561]\n", - " [ 0.17863376 0.01423995 0.57042457 0.80156286]\n", - " [-0.11464267 0.93950088 -0.25874541 0.19299216]\n", - " [-0.97619085 -0.12236526 0.09936214 0.14901452]]\n", - "This is the 29 run out of 162 run.\n", - "The code has run 35.5636 seconds.\n", - "Estimated remaining time: 163.1019 seconds\n", - "(1.5, 550.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 30 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.10620604 5.67772258 -82.46339932 -24.89648593]\n", - " [ 5.67772258 26.93219884 -12.86922226 -140.9603365 ]\n", - " [ -82.46339932 -12.86922226 241.69854807 60.24841433]\n", - " [ -24.89648593 -140.9603365 60.24841433 772.91678654]]\n", - "Trace: 1070.65373948992\n", - "Determinant: 164251.619804841\n", - "Condition number: 1551.5407215360776\n", - "Minimal eigen value: 0.5200809843403219\n", - "Eigen values: [8.06926826e+02 2.61711348e+02 5.20080984e-01 1.49548471e+00]\n", - "Eigen vectors: [[ 0.04470411 -0.31962802 -0.77317125 0.54593561]\n", - " [ 0.17863376 0.01423995 0.57042457 0.80156286]\n", - " [-0.11464267 0.93950088 -0.25874541 0.19299216]\n", - " [-0.97619085 -0.12236526 0.09936214 0.14901452]]\n", - "This is the 30 run out of 162 run.\n", - "The code has run 36.7942 seconds.\n", - "Estimated remaining time: 161.8945 seconds\n", - "(1.5, 600.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 31 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.0193988 5.63632446 -82.26751782 -24.69889258]\n", - " [ 5.63632446 26.78251299 -12.76709673 -140.36547844]\n", - " [ -82.26751782 -12.76709673 241.29019885 59.81669556]\n", - " [ -24.69889258 -140.36547844 59.81669556 770.65079868]]\n", - "Trace: 1067.7429093235437\n", - "Determinant: 161334.89807169262\n", - "Condition number: 1565.79882549867\n", - "Minimal eigen value: 0.5137499671366336\n", - "Eigen values: [8.04429095e+02 2.61306103e+02 5.13749967e-01 1.49396075e+00]\n", - "Eigen vectors: [[ 0.04451555 -0.31946758 -0.77054608 0.54974319]\n", - " [ 0.17841813 0.01415267 0.57434597 0.79880748]\n", - " [-0.11424927 0.93961231 -0.25766109 0.19413028]\n", - " [-0.97628502 -0.12193796 0.0999811 0.14833231]]\n", - "This is the 31 run out of 162 run.\n", - "The code has run 38.0604 seconds.\n", - "Estimated remaining time: 160.8358 seconds\n", - "(1.5, 600.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 32 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.0193988 5.63632446 -82.26751782 -24.69889258]\n", - " [ 5.63632446 26.78251299 -12.76709673 -140.36547844]\n", - " [ -82.26751782 -12.76709673 241.29019885 59.81669556]\n", - " [ -24.69889258 -140.36547844 59.81669556 770.65079868]]\n", - "Trace: 1067.7429093235437\n", - "Determinant: 161334.89807169262\n", - "Condition number: 1565.79882549867\n", - "Minimal eigen value: 0.5137499671366336\n", - "Eigen values: [8.04429095e+02 2.61306103e+02 5.13749967e-01 1.49396075e+00]\n", - "Eigen vectors: [[ 0.04451555 -0.31946758 -0.77054608 0.54974319]\n", - " [ 0.17841813 0.01415267 0.57434597 0.79880748]\n", - " [-0.11424927 0.93961231 -0.25766109 0.19413028]\n", - " [-0.97628502 -0.12193796 0.0999811 0.14833231]]\n", - "This is the 32 run out of 162 run.\n", - "The code has run 39.3473 seconds.\n", - "Estimated remaining time: 159.8485 seconds\n", - "(1.5, 650.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 33 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.95175675 5.59364544 -82.12935116 -24.52813197]\n", - " [ 5.59364544 26.66608437 -12.67883997 -139.95473299]\n", - " [ -82.12935116 -12.67883997 241.02772555 59.49000905]\n", - " [ -24.52813197 -139.95473299 59.49000905 769.24603721]]\n", - "Trace: 1065.8916038711552\n", - "Determinant: 157986.53907653803\n", - "Condition number: 1580.7201252527295\n", - "Minimal eigen value: 0.5078992315221698\n", - "Eigen values: [8.02846537e+02 2.61053006e+02 5.07899232e-01 1.48416195e+00]\n", - "Eigen vectors: [[ 0.04431997 -0.31933472 -0.76807456 0.55328342]\n", - " [ 0.17823113 0.01411361 0.5779786 0.7962256 ]\n", - " [-0.11388728 0.93971088 -0.25668156 0.19516077]\n", - " [-0.97637037 -0.12153025 0.10058223 0.1476974 ]]\n", - "This is the 33 run out of 162 run.\n", - "The code has run 40.6443 seconds.\n", - "Estimated remaining time: 158.8823 seconds\n", - "(1.5, 650.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 34 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.95175675 5.59364544 -82.12935116 -24.52813197]\n", - " [ 5.59364544 26.66608437 -12.67883997 -139.95473299]\n", - " [ -82.12935116 -12.67883997 241.02772555 59.49000905]\n", - " [ -24.52813197 -139.95473299 59.49000905 769.24603721]]\n", - "Trace: 1065.8916038711552\n", - "Determinant: 157986.53907653803\n", - "Condition number: 1580.7201252527295\n", - "Minimal eigen value: 0.5078992315221698\n", - "Eigen values: [8.02846537e+02 2.61053006e+02 5.07899232e-01 1.48416195e+00]\n", - "Eigen vectors: [[ 0.04431997 -0.31933472 -0.76807456 0.55328342]\n", - " [ 0.17823113 0.01411361 0.5779786 0.7962256 ]\n", - " [-0.11388728 0.93971088 -0.25668156 0.19516077]\n", - " [-0.97637037 -0.12153025 0.10058223 0.1476974 ]]\n", - "This is the 34 run out of 162 run.\n", - "The code has run 42.0161 seconds.\n", - "Estimated remaining time: 158.1784 seconds\n", - "(1.5, 700.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 35 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.89390341 5.54930753 -82.02400255 -24.37747694]\n", - " [ 5.54930753 26.57497071 -12.60097464 -139.66811378]\n", - " [ -82.02400255 -12.60097464 240.84660087 59.23685769]\n", - " [ -24.37747694 -139.66811378 59.23685769 768.362867 ]]\n", - "Trace: 1064.6783419866704\n", - "Determinant: 154556.86878195836\n", - "Condition number: 1592.9075104447347\n", - "Minimal eigen value: 0.5033721886008624\n", - "Eigen values: [8.01825340e+02 2.60881801e+02 5.03372189e-01 1.46782923e+00]\n", - "Eigen vectors: [[ 0.0441257 -0.3192171 -0.76637353 0.55572023]\n", - " [ 0.17807683 0.01411373 0.58045733 0.79445499]\n", - " [-0.11356021 0.93979995 -0.25600742 0.19580686]\n", - " [-0.97644541 -0.12114987 0.10100051 0.14722759]]\n", - "This is the 35 run out of 162 run.\n", - "The code has run 43.2897 seconds.\n", - "Estimated remaining time: 157.0799 seconds\n", - "(1.5, 700.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 36 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 28.89390341 5.54930753 -82.02400255 -24.37747694]\n", - " [ 5.54930753 26.57497071 -12.60097464 -139.66811378]\n", - " [ -82.02400255 -12.60097464 240.84660087 59.23685769]\n", - " [ -24.37747694 -139.66811378 59.23685769 768.362867 ]]\n", - "Trace: 1064.6783419866704\n", - "Determinant: 154556.86878195836\n", - "Condition number: 1592.9075104447347\n", - "Minimal eigen value: 0.5033721886008624\n", - "Eigen values: [8.01825340e+02 2.60881801e+02 5.03372189e-01 1.46782923e+00]\n", - "Eigen vectors: [[ 0.0441257 -0.3192171 -0.76637353 0.55572023]\n", - " [ 0.17807683 0.01411373 0.58045733 0.79445499]\n", - " [-0.11356021 0.93979995 -0.25600742 0.19580686]\n", - " [-0.97644541 -0.12114987 0.10100051 0.14722759]]\n", - "This is the 36 run out of 162 run.\n", - "The code has run 44.5734 seconds.\n", - "Estimated remaining time: 156.0071 seconds\n", - "(2.0, 300.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 37 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.28334671 5.70699409 -92.97484844 -25.80031677]\n", - " [ 5.70699409 29.30507497 -13.33636445 -156.70839321]\n", - " [ -92.97484844 -13.33636445 275.50168257 64.30324325]\n", - " [ -25.80031677 -156.70839321 64.30324325 872.63443311]]\n", - "Trace: 1209.7245373595783\n", - "Determinant: 188680.91170914198\n", - "Condition number: 1858.616320831994\n", - "Minimal eigen value: 0.48913747009914166\n", - "Eigen values: [9.09118885e+02 2.98695996e+02 4.89137470e-01 1.42051869e+00]\n", - "Eigen vectors: [[ 0.04146304 -0.31695699 -0.77712411 0.54212287]\n", - " [ 0.17602088 0.01408456 0.56560106 0.80555181]\n", - " [-0.10898703 0.94123169 -0.25813549 0.18860223]\n", - " [-0.97745552 -0.1158568 0.09767104 0.14703155]]\n", - "This is the 37 run out of 162 run.\n", - "The code has run 45.6867 seconds.\n", - "Estimated remaining time: 154.3471 seconds\n", - "(2.0, 300.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 38 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.28334671 5.70699409 -92.97484844 -25.80031677]\n", - " [ 5.70699409 29.30507497 -13.33636445 -156.70839321]\n", - " [ -92.97484844 -13.33636445 275.50168257 64.30324325]\n", - " [ -25.80031677 -156.70839321 64.30324325 872.63443311]]\n", - "Trace: 1209.7245373595783\n", - "Determinant: 188680.91170914198\n", - "Condition number: 1858.616320831994\n", - "Minimal eigen value: 0.48913747009914166\n", - "Eigen values: [9.09118885e+02 2.98695996e+02 4.89137470e-01 1.42051869e+00]\n", - "Eigen vectors: [[ 0.04146304 -0.31695699 -0.77712411 0.54212287]\n", - " [ 0.17602088 0.01408456 0.56560106 0.80555181]\n", - " [-0.10898703 0.94123169 -0.25813549 0.18860223]\n", - " [-0.97745552 -0.1158568 0.09767104 0.14703155]]\n", - "This is the 38 run out of 162 run.\n", - "The code has run 46.7871 seconds.\n", - "Estimated remaining time: 152.6736 seconds\n", - "(2.0, 350.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 39 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "This is the 4 run out of 8 run.\n", + "The code has run 5.5022 seconds.\n", + "Estimated remaining time: 5.5022 seconds\n", + "=======This is the 5 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", "Existed information has been added.\n", - "FIM: [[ 31.25421656 6.68459112 -88.61909992 -30.60138864]\n", - " [ 6.68459112 31.36595547 -15.81778278 -164.86906971]\n", - " [ -88.61909992 -15.81778278 258.85557126 76.34263383]\n", - " [ -30.60138864 -164.86906971 76.34263383 899.77659826]]\n", - "Trace: 1221.2523415411317\n", - "Determinant: 184979.52586245077\n", - "Condition number: 1863.3156848542435\n", - "Minimal eigen value: 0.5049297243111703\n", - "Eigen values: [9.40843475e+02 2.78505828e+02 5.04929724e-01 1.39810909e+00]\n", - "Eigen vectors: [[ 0.04575816 -0.32029107 -0.77638665 0.54087299]\n", - " [ 0.17924367 0.01591336 0.56497666 0.80524521]\n", - " [-0.11929887 0.93864685 -0.26107427 0.19118079]\n", - " [-0.97547203 -0.12689556 0.09932456 0.14995489]]\n", - "This is the 39 run out of 162 run.\n", - "The code has run 47.9669 seconds.\n", - "Estimated remaining time: 151.2803 seconds\n", - "(2.0, 350.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 40 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", + " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", + " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", + " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", + "Trace: 1981.0422198461438\n", + "Determinant: 561207.9662178434\n", + "Condition number: 2950.219453820002\n", + "Minimal eigen value: 0.5016011129279737\n", + "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", + "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", + " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", + " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", + " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", + "This is the 5 run out of 8 run.\n", + "The code has run 6.7078 seconds.\n", + "Estimated remaining time: 4.0247 seconds\n", + "=======This is the 6 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", "Existed information has been added.\n", - "FIM: [[ 31.25421656 6.68459112 -88.61909992 -30.60138864]\n", - " [ 6.68459112 31.36595547 -15.81778278 -164.86906971]\n", - " [ -88.61909992 -15.81778278 258.85557126 76.34263383]\n", - " [ -30.60138864 -164.86906971 76.34263383 899.77659826]]\n", - "Trace: 1221.2523415411317\n", - "Determinant: 184979.52586245077\n", - "Condition number: 1863.3156848542435\n", - "Minimal eigen value: 0.5049297243111703\n", - "Eigen values: [9.40843475e+02 2.78505828e+02 5.04929724e-01 1.39810909e+00]\n", - "Eigen vectors: [[ 0.04575816 -0.32029107 -0.77638665 0.54087299]\n", - " [ 0.17924367 0.01591336 0.56497666 0.80524521]\n", - " [-0.11929887 0.93864685 -0.26107427 0.19118079]\n", - " [-0.97547203 -0.12689556 0.09932456 0.14995489]]\n", - "This is the 40 run out of 162 run.\n", - "The code has run 49.1583 seconds.\n", - "Estimated remaining time: 149.9328 seconds\n", - "(2.0, 400.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 41 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", + " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", + " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", + " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", + "Trace: 1981.0422198461438\n", + "Determinant: 561207.9662178434\n", + "Condition number: 2950.219453820002\n", + "Minimal eigen value: 0.5016011129279737\n", + "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", + "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", + " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", + " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", + " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", + "This is the 6 run out of 8 run.\n", + "The code has run 7.9705 seconds.\n", + "Estimated remaining time: 2.6568 seconds\n", + "=======This is the 7 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", "Existed information has been added.\n", - "FIM: [[ 30.52158843 6.48481199 -86.0456274 -28.87532344]\n", - " [ 6.48481199 29.86381946 -14.92566842 -154.8692371 ]\n", - " [ -86.0456274 -14.92566842 250.53865847 70.10910741]\n", - " [ -28.87532344 -154.8692371 70.10910741 837.96870419]]\n", - "Trace: 1148.8927705492695\n", - "Determinant: 190348.6673254422\n", - "Condition number: 1618.3103657413333\n", - "Minimal eigen value: 0.5417343666379524\n", - "Eigen values: [8.76694341e+02 2.70173245e+02 5.41734367e-01 1.48344999e+00]\n", - "Eigen vectors: [[ 0.04685373 -0.32103947 -0.78212185 0.53199981]\n", - " [ 0.18079203 0.01551727 0.55613272 0.81104245]\n", - " [-0.11992293 0.93825512 -0.26345825 0.18943485]\n", - " [-0.97505767 -0.12794607 0.09793648 0.15264595]]\n", - "This is the 41 run out of 162 run.\n", - "The code has run 50.7380 seconds.\n", - "Estimated remaining time: 149.7388 seconds\n", - "(2.0, 400.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 42 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", + " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", + " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", + " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", + "Trace: 1083.6008663096845\n", + "Determinant: 330586.4905784959\n", + "Condition number: 1212.388775069196\n", + "Minimal eigen value: 0.6727727401066618\n", + "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", + "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", + " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", + " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", + " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", + "This is the 7 run out of 8 run.\n", + "The code has run 9.6383 seconds.\n", + "Estimated remaining time: 1.3769 seconds\n", + "=======This is the 8 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", "Existed information has been added.\n", - "FIM: [[ 30.52158843 6.48481199 -86.0456274 -28.87532344]\n", - " [ 6.48481199 29.86381946 -14.92566842 -154.8692371 ]\n", - " [ -86.0456274 -14.92566842 250.53865847 70.10910741]\n", - " [ -28.87532344 -154.8692371 70.10910741 837.96870419]]\n", - "Trace: 1148.8927705492695\n", - "Determinant: 190348.6673254422\n", - "Condition number: 1618.3103657413333\n", - "Minimal eigen value: 0.5417343666379524\n", - "Eigen values: [8.76694341e+02 2.70173245e+02 5.41734367e-01 1.48344999e+00]\n", - "Eigen vectors: [[ 0.04685373 -0.32103947 -0.78212185 0.53199981]\n", - " [ 0.18079203 0.01551727 0.55613272 0.81104245]\n", - " [-0.11992293 0.93825512 -0.26345825 0.18943485]\n", - " [-0.97505767 -0.12794607 0.09793648 0.15264595]]\n", - "This is the 42 run out of 162 run.\n", - "The code has run 52.3724 seconds.\n", - "Estimated remaining time: 149.6355 seconds\n", - "(2.0, 450.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 43 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", + " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", + " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", + " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", + "Trace: 1083.6008663096845\n", + "Determinant: 330586.4905784959\n", + "Condition number: 1212.388775069196\n", + "Minimal eigen value: 0.6727727401066618\n", + "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", + "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", + " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", + " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", + " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", + "This is the 8 run out of 8 run.\n", + "The code has run 11.3742 seconds.\n", + "Estimated remaining time: 0.0000 seconds\n", + "The whole run takes 11.374619007110596 s.\n" ] - }, + } + ], + "source": [ + "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", + " ['CA','CB','CC'], t_measure, createmod,\n", + " prior_FIM=prior_pass, discretize_model=disc)\n", + "\n", + "all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", + " mode='sequential_finite', \n", + " scale_nominal_param_value=True\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f6357722", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Existed information has been added.\n", - "FIM: [[ 30.00498916 6.16520704 -84.49307008 -27.0509224 ]\n", - " [ 6.16520704 28.46235364 -13.98273248 -147.49642699]\n", - " [ -84.49307008 -13.98273248 246.19200008 65.05640169]\n", - " [ -27.0509224 -147.49642699 65.05640169 800.46076995]]\n", - "Trace: 1105.1201128212274\n", - "Determinant: 191117.7507506111\n", - "Condition number: 1503.7114051925557\n", - "Minimal eigen value: 0.5565662145256329\n", - "Eigen values: [8.36914965e+02 2.66106715e+02 5.56566215e-01 1.54186738e+00]\n", - "Eigen vectors: [[ 0.04646642 -0.32098546 -0.77977639 0.53549788]\n", - " [ 0.18034719 0.01490153 0.55988332 0.8085688 ]\n", - " [-0.11833093 0.93849369 -0.26236422 0.19076794]\n", - " [-0.97535304 -0.1263957 0.09820625 0.1518753 ]]\n", - "This is the 43 run out of 162 run.\n", - "The code has run 53.7549 seconds.\n", - "Estimated remaining time: 148.7636 seconds\n", - "(2.0, 450.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 44 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.00498916 6.16520704 -84.49307008 -27.0509224 ]\n", - " [ 6.16520704 28.46235364 -13.98273248 -147.49642699]\n", - " [ -84.49307008 -13.98273248 246.19200008 65.05640169]\n", - " [ -27.0509224 -147.49642699 65.05640169 800.46076995]]\n", - "Trace: 1105.1201128212274\n", - "Determinant: 191117.7507506111\n", - "Condition number: 1503.7114051925557\n", - "Minimal eigen value: 0.5565662145256329\n", - "Eigen values: [8.36914965e+02 2.66106715e+02 5.56566215e-01 1.54186738e+00]\n", - "Eigen vectors: [[ 0.04646642 -0.32098546 -0.77977639 0.53549788]\n", - " [ 0.18034719 0.01490153 0.55988332 0.8085688 ]\n", - " [-0.11833093 0.93849369 -0.26236422 0.19076794]\n", - " [-0.97535304 -0.1263957 0.09820625 0.1518753 ]]\n", - "This is the 44 run out of 162 run.\n", - "The code has run 55.1791 seconds.\n", - "Estimated remaining time: 147.9803 seconds\n", - "(2.0, 500.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 45 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.66284896 5.98404272 -83.57738856 -26.09248409]\n", - " [ 5.98404272 27.73909098 -13.48736761 -144.05292682]\n", - " [ -83.57738856 -13.48736761 243.90609069 62.63421243]\n", - " [ -26.09248409 -144.05292682 62.63421243 784.67652325]]\n", - "Trace: 1085.9845538731117\n", - "Determinant: 188639.4615552581\n", - "Condition number: 1474.5971888051029\n", - "Minimal eigen value: 0.5560520631753989\n", - "Eigen values: [8.19952809e+02 2.63907946e+02 5.56052063e-01 1.56774623e+00]\n", - "Eigen vectors: [[ 0.04594253 -0.320668 -0.77534136 0.54213199]\n", - " [ 0.17974722 0.01448798 0.56676229 0.80390394]\n", - " [-0.11695823 0.93879944 -0.26038706 0.19280809]\n", - " [-0.97565414 -0.12497097 0.09912039 0.15052047]]\n", - "This is the 45 run out of 162 run.\n", - "The code has run 56.5706 seconds.\n", - "Estimated remaining time: 147.0836 seconds\n", - "(2.0, 500.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 46 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.66284896 5.98404272 -83.57738856 -26.09248409]\n", - " [ 5.98404272 27.73909098 -13.48736761 -144.05292682]\n", - " [ -83.57738856 -13.48736761 243.90609069 62.63421243]\n", - " [ -26.09248409 -144.05292682 62.63421243 784.67652325]]\n", - "Trace: 1085.9845538731117\n", - "Determinant: 188639.4615552581\n", - "Condition number: 1474.5971888051029\n", - "Minimal eigen value: 0.5560520631753989\n", - "Eigen values: [8.19952809e+02 2.63907946e+02 5.56052063e-01 1.56774623e+00]\n", - "Eigen vectors: [[ 0.04594253 -0.320668 -0.77534136 0.54213199]\n", - " [ 0.17974722 0.01448798 0.56676229 0.80390394]\n", - " [-0.11695823 0.93879944 -0.26038706 0.19280809]\n", - " [-0.97565414 -0.12497097 0.09912039 0.15052047]]\n", - "This is the 46 run out of 162 run.\n", - "The code has run 57.9253 seconds.\n", - "Estimated remaining time: 146.0725 seconds\n", - "(2.0, 550.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 47 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.43853337 5.88400885 -83.02857374 -25.57526247]\n", - " [ 5.88400885 27.33885875 -13.22004406 -142.29843404]\n", - " [ -83.02857374 -13.22004406 242.65971528 61.40277918]\n", - " [ -25.57526247 -142.29843404 61.40277918 777.31974084]]\n", - "Trace: 1076.7568482418158\n", - "Determinant: 184270.03331003775\n", - "Condition number: 1482.9771752629497\n", - "Minimal eigen value: 0.5475192742598249\n", - "Eigen values: [8.11958587e+02 2.62672744e+02 5.47519274e-01 1.57799787e+00]\n", - "Eigen vectors: [[ 0.04555702 -0.32032998 -0.77104717 0.54845193]\n", - " [ 0.17927984 0.01423111 0.57328314 0.79937641]\n", - " [-0.11606112 0.93904462 -0.25849401 0.19469431]\n", - " [-0.97586532 -0.12402173 0.1000677 0.1493049 ]]\n", - "This is the 47 run out of 162 run.\n", - "The code has run 59.3019 seconds.\n", - "Estimated remaining time: 145.1003 seconds\n", - "(2.0, 550.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 48 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.43853337 5.88400885 -83.02857374 -25.57526247]\n", - " [ 5.88400885 27.33885875 -13.22004406 -142.29843404]\n", - " [ -83.02857374 -13.22004406 242.65971528 61.40277918]\n", - " [ -25.57526247 -142.29843404 61.40277918 777.31974084]]\n", - "Trace: 1076.7568482418158\n", - "Determinant: 184270.03331003775\n", - "Condition number: 1482.9771752629497\n", - "Minimal eigen value: 0.5475192742598249\n", - "Eigen values: [8.11958587e+02 2.62672744e+02 5.47519274e-01 1.57799787e+00]\n", - "Eigen vectors: [[ 0.04555702 -0.32032998 -0.77104717 0.54845193]\n", - " [ 0.17927984 0.01423111 0.57328314 0.79937641]\n", - " [-0.11606112 0.93904462 -0.25849401 0.19469431]\n", - " [-0.97586532 -0.12402173 0.1000677 0.1493049 ]]\n", - "This is the 48 run out of 162 run.\n", - "The code has run 60.7819 seconds.\n", - "Estimated remaining time: 144.3571 seconds\n", - "(2.0, 600.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 49 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.28420938 5.81041218 -82.68034035 -25.22398541]\n", - " [ 5.81041218 27.0727506 -13.03848831 -141.24090865]\n", - " [ -82.68034035 -13.03848831 241.93376245 60.63528154]\n", - " [ -25.22398541 -141.24090865 60.63528154 773.29131813]]\n", - "Trace: 1071.5820405595707\n", - "Determinant: 178758.17326418444\n", - "Condition number: 1505.8326274881686\n", - "Minimal eigen value: 0.5362591366706398\n", - "Eigen values: [8.07516505e+02 2.61953424e+02 5.36259137e-01 1.57585305e+00]\n", - "Eigen vectors: [[ 0.0452283 -0.32004858 -0.76665675 0.55476188]\n", - " [ 0.17890164 0.01407456 0.57977992 0.79476497]\n", - " [-0.11537487 0.93924098 -0.25666067 0.19657139]\n", - " [-0.97603137 -0.12327688 0.10108403 0.14814718]]\n", - "This is the 49 run out of 162 run.\n", - "The code has run 62.1867 seconds.\n", - "Estimated remaining time: 143.4101 seconds\n", - "(2.0, 600.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 50 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + "\n" ] - }, + } + ], + "source": [ + "print(all_fim)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "8a38b361", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Existed information has been added.\n", - "FIM: [[ 29.28420938 5.81041218 -82.68034035 -25.22398541]\n", - " [ 5.81041218 27.0727506 -13.03848831 -141.24090865]\n", - " [ -82.68034035 -13.03848831 241.93376245 60.63528154]\n", - " [ -25.22398541 -141.24090865 60.63528154 773.29131813]]\n", - "Trace: 1071.5820405595707\n", - "Determinant: 178758.17326418444\n", - "Condition number: 1505.8326274881686\n", - "Minimal eigen value: 0.5362591366706398\n", - "Eigen values: [8.07516505e+02 2.61953424e+02 5.36259137e-01 1.57585305e+00]\n", - "Eigen vectors: [[ 0.0452283 -0.32004858 -0.76665675 0.55476188]\n", - " [ 0.17890164 0.01407456 0.57977992 0.79476497]\n", - " [-0.11537487 0.93924098 -0.25666067 0.19657139]\n", - " [-0.97603137 -0.12327688 0.10108403 0.14814718]]\n", - "This is the 50 run out of 162 run.\n", - "The code has run 63.6075 seconds.\n", - "Estimated remaining time: 142.4807 seconds\n", - "(2.0, 650.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 51 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.16395684 5.73453838 -82.43471072 -24.92041098]\n", - " [ 5.73453838 26.86576638 -12.88158736 -140.5106945 ]\n", - " [ -82.43471072 -12.88158736 241.46714317 60.05450537]\n", - " [ -24.92041098 -140.5106945 60.05450537 770.79396436]]\n", - "Trace: 1068.2908307463383\n", - "Determinant: 172475.9415463406\n", - "Condition number: 1530.546651700559\n", - "Minimal eigen value: 0.5257610786968038\n", - "Eigen values: [8.04701859e+02 2.61504282e+02 5.25761079e-01 1.55892881e+00]\n", - "Eigen vectors: [[ 0.04488407 -0.31981491 -0.76243559 0.56071009]\n", - " [ 0.1785717 0.01400365 0.5858805 0.79035441]\n", - " [-0.11473807 0.93941548 -0.25497866 0.19829175]\n", - " [-0.97618274 -0.1225597 0.10208767 0.14705266]]\n", - "This is the 51 run out of 162 run.\n", - "The code has run 65.0184 seconds.\n", - "Estimated remaining time: 141.5106 seconds\n", - "(2.0, 650.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 52 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.16395684 5.73453838 -82.43471072 -24.92041098]\n", - " [ 5.73453838 26.86576638 -12.88158736 -140.5106945 ]\n", - " [ -82.43471072 -12.88158736 241.46714317 60.05450537]\n", - " [ -24.92041098 -140.5106945 60.05450537 770.79396436]]\n", - "Trace: 1068.2908307463383\n", - "Determinant: 172475.9415463406\n", - "Condition number: 1530.546651700559\n", - "Minimal eigen value: 0.5257610786968038\n", - "Eigen values: [8.04701859e+02 2.61504282e+02 5.25761079e-01 1.55892881e+00]\n", - "Eigen vectors: [[ 0.04488407 -0.31981491 -0.76243559 0.56071009]\n", - " [ 0.1785717 0.01400365 0.5858805 0.79035441]\n", - " [-0.11473807 0.93941548 -0.25497866 0.19829175]\n", - " [-0.97618274 -0.1225597 0.10208767 0.14705266]]\n", - "This is the 52 run out of 162 run.\n", - "The code has run 66.4635 seconds.\n", - "Estimated remaining time: 140.5958 seconds\n", - "(2.0, 700.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 53 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.06110646 5.65571543 -82.24742429 -24.65257981]\n", - " [ 5.65571543 26.70378654 -12.74316009 -140.00114925]\n", - " [ -82.24742429 -12.74316009 241.14514372 59.60445848]\n", - " [ -24.65257981 -140.00114925 59.60445848 769.22388402]]\n", - "Trace: 1066.1339207407643\n", - "Determinant: 166109.9551245936\n", - "Condition number: 1551.1500791407132\n", - "Minimal eigen value: 0.5176066466705693\n", - "Eigen values: [8.02885591e+02 2.61200453e+02 5.17606647e-01 1.53027057e+00]\n", - "Eigen vectors: [[ 0.04454043 -0.31960751 -0.75938699 0.56497663]\n", - " [ 0.1782985 0.01400273 0.59021965 0.78718126]\n", - " [-0.11415988 0.93957357 -0.25377291 0.19942001]\n", - " [-0.9763162 -0.12188714 0.10281766 0.1462147 ]]\n", - "This is the 53 run out of 162 run.\n", - "The code has run 68.0078 seconds.\n", - "Estimated remaining time: 139.8650 seconds\n", - "(2.0, 700.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 54 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.06110646 5.65571543 -82.24742429 -24.65257981]\n", - " [ 5.65571543 26.70378654 -12.74316009 -140.00114925]\n", - " [ -82.24742429 -12.74316009 241.14514372 59.60445848]\n", - " [ -24.65257981 -140.00114925 59.60445848 769.22388402]]\n", - "Trace: 1066.1339207407643\n", - "Determinant: 166109.9551245936\n", - "Condition number: 1551.1500791407132\n", - "Minimal eigen value: 0.5176066466705693\n", - "Eigen values: [8.02885591e+02 2.61200453e+02 5.17606647e-01 1.53027057e+00]\n", - "Eigen vectors: [[ 0.04454043 -0.31960751 -0.75938699 0.56497663]\n", - " [ 0.1782985 0.01400273 0.59021965 0.78718126]\n", - " [-0.11415988 0.93957357 -0.25377291 0.19942001]\n", - " [-0.9763162 -0.12188714 0.10281766 0.1462147 ]]\n", - "This is the 54 run out of 162 run.\n", - "The code has run 69.5511 seconds.\n", - "Estimated remaining time: 139.1022 seconds\n", - "(2.5, 300.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 55 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.31083221 5.87264848 -99.29628105 -26.7996225 ]\n", - " [ 5.87264848 30.93392006 -13.85285176 -166.5344064 ]\n", - " [ -99.29628105 -13.85285176 295.21107649 67.41893929]\n", - " [ -26.7996225 -166.5344064 67.41893929 931.90988887]]\n", - "Trace: 1292.3657176279999\n", - "Determinant: 219116.55598781718\n", - "Condition number: 1975.135565776819\n", - "Minimal eigen value: 0.4912314715447589\n", - "Eigen values: [9.70248750e+02 3.20189921e+02 4.91231472e-01 1.43581425e+00]\n", - "Eigen vectors: [[ 0.040473 -0.31614659 -0.77750088 0.54213066]\n", - " [ 0.17519902 0.01401412 0.56535675 0.80590362]\n", - " [-0.10721007 0.94175271 -0.25765221 0.18767837]\n", - " [-0.97784111 -0.11382781 0.09736251 0.14625502]]\n", - "This is the 55 run out of 162 run.\n", - "The code has run 70.8270 seconds.\n", - "Estimated remaining time: 137.7908 seconds\n", - "(2.5, 300.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 56 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.31083221 5.87264848 -99.29628105 -26.7996225 ]\n", - " [ 5.87264848 30.93392006 -13.85285176 -166.5344064 ]\n", - " [ -99.29628105 -13.85285176 295.21107649 67.41893929]\n", - " [ -26.7996225 -166.5344064 67.41893929 931.90988887]]\n", - "Trace: 1292.3657176279999\n", - "Determinant: 219116.55598781718\n", - "Condition number: 1975.135565776819\n", - "Minimal eigen value: 0.4912314715447589\n", - "Eigen values: [9.70248750e+02 3.20189921e+02 4.91231472e-01 1.43581425e+00]\n", - "Eigen vectors: [[ 0.040473 -0.31614659 -0.77750088 0.54213066]\n", - " [ 0.17519902 0.01401412 0.56535675 0.80590362]\n", - " [-0.10721007 0.94175271 -0.25765221 0.18767837]\n", - " [-0.97784111 -0.11382781 0.09736251 0.14625502]]\n", - "This is the 56 run out of 162 run.\n", - "The code has run 72.0165 seconds.\n", - "Estimated remaining time: 136.3170 seconds\n", - "(2.5, 350.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 57 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + "[, , , , , , , ]\n" ] - }, + } + ], + "source": [ + "print(doe_object.all_fim)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "38e38e3b", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Existed information has been added.\n", - "FIM: [[ 32.70281635 7.40014384 -92.49042399 -34.3012973 ]\n", - " [ 7.40014384 34.15404584 -17.73006791 -179.28546343]\n", - " [ -92.49042399 -17.73006791 269.20152757 86.23048708]\n", - " [ -34.3012973 -179.28546343 86.23048708 974.3195219 ]]\n", - "Trace: 1310.3779116577584\n", - "Determinant: 212667.62255371246\n", - "Condition number: 1980.140754134136\n", - "Minimal eigen value: 0.5150288667373343\n", - "Eigen values: [1.01982965e+03 2.88630420e+02 5.15028867e-01 1.40281393e+00]\n", - "Eigen vectors: [[ 0.04665874 -0.32111655 -0.77619183 0.54058613]\n", - " [ 0.17988432 0.01666262 0.56474405 0.80525036]\n", - " [-0.12200129 0.93797321 -0.26196245 0.19156621]\n", - " [-0.97497707 -0.12966406 0.09983027 0.15046883]]\n", - "This is the 57 run out of 162 run.\n", - "The code has run 73.2377 seconds.\n", - "Estimated remaining time: 134.9115 seconds\n", - "(2.5, 350.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 58 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.70281635 7.40014384 -92.49042399 -34.3012973 ]\n", - " [ 7.40014384 34.15404584 -17.73006791 -179.28546343]\n", - " [ -92.49042399 -17.73006791 269.20152757 86.23048708]\n", - " [ -34.3012973 -179.28546343 86.23048708 974.3195219 ]]\n", - "Trace: 1310.3779116577584\n", - "Determinant: 212667.62255371246\n", - "Condition number: 1980.140754134136\n", - "Minimal eigen value: 0.5150288667373343\n", - "Eigen values: [1.01982965e+03 2.88630420e+02 5.15028867e-01 1.40281393e+00]\n", - "Eigen vectors: [[ 0.04665874 -0.32111655 -0.77619183 0.54058613]\n", - " [ 0.17988432 0.01666262 0.56474405 0.80525036]\n", - " [-0.12200129 0.93797321 -0.26196245 0.19156621]\n", - " [-0.97497707 -0.12966406 0.09983027 0.15046883]]\n", - "This is the 58 run out of 162 run.\n", - "The code has run 74.4313 seconds.\n", - "Estimated remaining time: 133.4629 seconds\n", - "(2.5, 400.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 59 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.55808488 7.08798895 -88.46937314 -31.60432037]\n", - " [ 7.08798895 31.80695831 -16.33613916 -163.66072489]\n", - " [ -88.46937314 -16.33613916 256.20635122 76.49060178]\n", - " [ -31.60432037 -163.66072489 76.49060178 877.74468706]]\n", - "Trace: 1197.3160814605867\n", - "Determinant: 221799.0883115981\n", - "Condition number: 1608.3235339216812\n", - "Minimal eigen value: 0.5717813344410629\n", - "Eigen values: [9.19609376e+02 2.75604399e+02 5.71781334e-01 1.53052436e+00]\n", - "Eigen vectors: [[ 0.04840947 -0.32227626 -0.78433046 0.52784492]\n", - " [ 0.18225901 0.01616051 0.55206779 0.81347504]\n", - " [-0.12327976 0.93731565 -0.26545069 0.18914917]\n", - " [-0.97428963 -0.13159113 0.09789184 0.15446904]]\n", - "This is the 59 run out of 162 run.\n", - "The code has run 75.7845 seconds.\n", - "Estimated remaining time: 132.3017 seconds\n", - "(2.5, 400.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 60 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.55808488 7.08798895 -88.46937314 -31.60432037]\n", - " [ 7.08798895 31.80695831 -16.33613916 -163.66072489]\n", - " [ -88.46937314 -16.33613916 256.20635122 76.49060178]\n", - " [ -31.60432037 -163.66072489 76.49060178 877.74468706]]\n", - "Trace: 1197.3160814605867\n", - "Determinant: 221799.0883115981\n", - "Condition number: 1608.3235339216812\n", - "Minimal eigen value: 0.5717813344410629\n", - "Eigen values: [9.19609376e+02 2.75604399e+02 5.71781334e-01 1.53052436e+00]\n", - "Eigen vectors: [[ 0.04840947 -0.32227626 -0.78433046 0.52784492]\n", - " [ 0.18225901 0.01616051 0.55206779 0.81347504]\n", - " [-0.12327976 0.93731565 -0.26545069 0.18914917]\n", - " [-0.97428963 -0.13159113 0.09789184 0.15446904]]\n", - "This is the 60 run out of 162 run.\n", - "The code has run 77.1258 seconds.\n", - "Estimated remaining time: 131.1138 seconds\n", - "(2.5, 450.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 61 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.75089853 6.58860624 -86.04350238 -28.75369385]\n", - " [ 6.58860624 29.61716799 -14.86280184 -152.14070917]\n", - " [ -86.04350238 -14.86280184 249.41469763 68.59574941]\n", - " [ -28.75369385 -152.14070917 68.59574941 819.13854015]]\n", - "Trace: 1128.9213042948234\n", - "Determinant: 223199.08519825267\n", - "Condition number: 1439.2001464010648\n", - "Minimal eigen value: 0.5957771989533247\n", - "Eigen values: [8.57442632e+02 2.69260221e+02 5.95777199e-01 1.62267394e+00]\n", - "Eigen vectors: [[ 0.04796256 -0.32221079 -0.78113541 0.53264179]\n", - " [ 0.18168784 0.0152626 0.55724216 0.81008503]\n", - " [-0.12118885 0.93763158 -0.26392306 0.19106254]\n", - " [-0.97468066 -0.12959272 0.09825105 0.15346033]]\n", - "This is the 61 run out of 162 run.\n", - "The code has run 78.4373 seconds.\n", - "Estimated remaining time: 129.8716 seconds\n", - "(2.5, 450.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 62 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.75089853 6.58860624 -86.04350238 -28.75369385]\n", - " [ 6.58860624 29.61716799 -14.86280184 -152.14070917]\n", - " [ -86.04350238 -14.86280184 249.41469763 68.59574941]\n", - " [ -28.75369385 -152.14070917 68.59574941 819.13854015]]\n", - "Trace: 1128.9213042948234\n", - "Determinant: 223199.08519825267\n", - "Condition number: 1439.2001464010648\n", - "Minimal eigen value: 0.5957771989533247\n", - "Eigen values: [8.57442632e+02 2.69260221e+02 5.95777199e-01 1.62267394e+00]\n", - "Eigen vectors: [[ 0.04796256 -0.32221079 -0.78113541 0.53264179]\n", - " [ 0.18168784 0.0152626 0.55724216 0.81008503]\n", - " [-0.12118885 0.93763158 -0.26392306 0.19106254]\n", - " [-0.97468066 -0.12959272 0.09825105 0.15346033]]\n", - "This is the 62 run out of 162 run.\n", - "The code has run 79.8529 seconds.\n", - "Estimated remaining time: 128.7951 seconds\n", - "(2.5, 500.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 63 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.21630446 6.30553697 -84.61274999 -27.25613395]\n", - " [ 6.30553697 28.48707009 -14.0887942 -146.76024017]\n", - " [ -84.61274999 -14.0887942 245.84296418 64.81107863]\n", - " [ -27.25613395 -146.76024017 64.81107863 794.47565471]]\n", - "Trace: 1099.0219934376676\n", - "Determinant: 219046.7635612996\n", - "Condition number: 1395.1046514756501\n", - "Minimal eigen value: 0.5956039117841725\n", - "Eigen values: [8.30929788e+02 2.65831624e+02 5.95603912e-01 1.66497734e+00]\n", - "Eigen vectors: [[ 0.0472128 -0.32173526 -0.77481095 0.54214884]\n", - " [ 0.18080651 0.01462813 0.56710945 0.80341888]\n", - " [-0.11919796 0.93808696 -0.26104596 0.19400955]\n", - " [-0.97512656 -0.12753546 0.09954834 0.15150258]]\n", - "This is the 63 run out of 162 run.\n", - "The code has run 81.1966 seconds.\n", - "Estimated remaining time: 127.5946 seconds\n", - "(2.5, 500.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 64 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 30.21630446 6.30553697 -84.61274999 -27.25613395]\n", - " [ 6.30553697 28.48707009 -14.0887942 -146.76024017]\n", - " [ -84.61274999 -14.0887942 245.84296418 64.81107863]\n", - " [ -27.25613395 -146.76024017 64.81107863 794.47565471]]\n", - "Trace: 1099.0219934376676\n", - "Determinant: 219046.7635612996\n", - "Condition number: 1395.1046514756501\n", - "Minimal eigen value: 0.5956039117841725\n", - "Eigen values: [8.30929788e+02 2.65831624e+02 5.95603912e-01 1.66497734e+00]\n", - "Eigen vectors: [[ 0.0472128 -0.32173526 -0.77481095 0.54214884]\n", - " [ 0.18080651 0.01462813 0.56710945 0.80341888]\n", - " [-0.11919796 0.93808696 -0.26104596 0.19400955]\n", - " [-0.97512656 -0.12753546 0.09954834 0.15150258]]\n", - "This is the 64 run out of 162 run.\n", - "The code has run 82.5312 seconds.\n", - "Estimated remaining time: 126.3759 seconds\n", - "(2.5, 550.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 65 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.86581136 6.14923404 -83.75522684 -26.44797517]\n", - " [ 6.14923404 27.86170723 -13.67110116 -144.0188452 ]\n", - " [ -83.75522684 -13.67110116 243.8955026 62.88696419]\n", - " [ -26.44797517 -144.0188452 62.88696419 782.9806822 ]]\n", - "Trace: 1084.6037033913724\n", - "Determinant: 211683.9981405787\n", - "Condition number: 1404.9139458158472\n", - "Minimal eigen value: 0.582550713260004\n", - "Eigen values: [8.18433621e+02 2.63905156e+02 5.82550713e-01 1.68237557e+00]\n", - "Eigen vectors: [[ 0.04663765 -0.32121979 -0.76862987 0.55122672]\n", - " [ 0.18009867 0.01422632 0.57647713 0.79689159]\n", - " [-0.11785344 0.93846161 -0.25826985 0.19671566]\n", - " [-0.9754486 -0.12611605 0.10089067 0.14971924]]\n", - "This is the 65 run out of 162 run.\n", - "The code has run 83.8911 seconds.\n", - "Estimated remaining time: 125.1913 seconds\n", - "(2.5, 550.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 66 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.86581136 6.14923404 -83.75522684 -26.44797517]\n", - " [ 6.14923404 27.86170723 -13.67110116 -144.0188452 ]\n", - " [ -83.75522684 -13.67110116 243.8955026 62.88696419]\n", - " [ -26.44797517 -144.0188452 62.88696419 782.9806822 ]]\n", - "Trace: 1084.6037033913724\n", - "Determinant: 211683.9981405787\n", - "Condition number: 1404.9139458158472\n", - "Minimal eigen value: 0.582550713260004\n", - "Eigen values: [8.18433621e+02 2.63905156e+02 5.82550713e-01 1.68237557e+00]\n", - "Eigen vectors: [[ 0.04663765 -0.32121979 -0.76862987 0.55122672]\n", - " [ 0.18009867 0.01422632 0.57647713 0.79689159]\n", - " [-0.11785344 0.93846161 -0.25826985 0.19671566]\n", - " [-0.9754486 -0.12611605 0.10089067 0.14971924]]\n", - "This is the 66 run out of 162 run.\n", - "The code has run 85.2672 seconds.\n", - "Estimated remaining time: 124.0250 seconds\n", - "(2.5, 600.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 67 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.62468012 6.03423925 -83.21111217 -25.89910476]\n", - " [ 6.03423925 27.44591324 -13.38742029 -142.36646178]\n", - " [ -83.21111217 -13.38742029 242.7612013 61.68774912]\n", - " [ -25.89910476 -142.36646178 61.68774912 776.68627174]]\n", - "Trace: 1076.5180664020631\n", - "Determinant: 202415.6569987658\n", - "Condition number: 1436.3383702542444\n", - "Minimal eigen value: 0.5649710487513734\n", - "Eigen values: [8.11489595e+02 2.62783393e+02 5.64971049e-01 1.68010737e+00]\n", - "Eigen vectors: [[ 0.04613685 -0.32078757 -0.76226121 0.56028973]\n", - " [ 0.17951788 0.01397906 0.58580552 0.79019606]\n", - " [-0.11680698 0.93876493 -0.25557325 0.19939622]\n", - " [-0.97570531 -0.12498131 0.10233312 0.1480093 ]]\n", - "This is the 67 run out of 162 run.\n", - "The code has run 86.6768 seconds.\n", - "Estimated remaining time: 122.9000 seconds\n", - "(2.5, 600.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 68 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.62468012 6.03423925 -83.21111217 -25.89910476]\n", - " [ 6.03423925 27.44591324 -13.38742029 -142.36646178]\n", - " [ -83.21111217 -13.38742029 242.7612013 61.68774912]\n", - " [ -25.89910476 -142.36646178 61.68774912 776.68627174]]\n", - "Trace: 1076.5180664020631\n", - "Determinant: 202415.6569987658\n", - "Condition number: 1436.3383702542444\n", - "Minimal eigen value: 0.5649710487513734\n", - "Eigen values: [8.11489595e+02 2.62783393e+02 5.64971049e-01 1.68010737e+00]\n", - "Eigen vectors: [[ 0.04613685 -0.32078757 -0.76226121 0.56028973]\n", - " [ 0.17951788 0.01397906 0.58580552 0.79019606]\n", - " [-0.11680698 0.93876493 -0.25557325 0.19939622]\n", - " [-0.97570531 -0.12498131 0.10233312 0.1480093 ]]\n", - "This is the 68 run out of 162 run.\n", - "The code has run 88.0671 seconds.\n", - "Estimated remaining time: 121.7398 seconds\n", - "(2.5, 650.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 69 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.43678553 5.91568643 -82.82731586 -25.4247697 ]\n", - " [ 5.91568643 27.12250039 -13.14226256 -141.22550217]\n", - " [ -82.82731586 -13.14226256 242.03210867 60.78028635]\n", - " [ -25.4247697 -141.22550217 60.78028635 772.78415647]]\n", - "Trace: 1071.375551053092\n", - "Determinant: 191937.53934280388\n", - "Condition number: 1471.700117663225\n", - "Minimal eigen value: 0.5484060967518005\n", - "Eigen values: [8.07089317e+02 2.62083213e+02 5.48406097e-01 1.65461457e+00]\n", - "Eigen vectors: [[ 0.04560588 -0.32042744 -0.75599497 0.56896218]\n", - " [ 0.17900731 0.01386541 0.59469481 0.78364674]\n", - " [-0.11582536 0.93903609 -0.25305826 0.20188421]\n", - " [-0.97594107 -0.12387588 0.10378441 0.14636459]]\n", - "This is the 69 run out of 162 run.\n", - "The code has run 89.5954 seconds.\n", - "Estimated remaining time: 120.7590 seconds\n", - "(2.5, 650.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 70 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.43678553 5.91568643 -82.82731586 -25.4247697 ]\n", - " [ 5.91568643 27.12250039 -13.14226256 -141.22550217]\n", - " [ -82.82731586 -13.14226256 242.03210867 60.78028635]\n", - " [ -25.4247697 -141.22550217 60.78028635 772.78415647]]\n", - "Trace: 1071.375551053092\n", - "Determinant: 191937.53934280388\n", - "Condition number: 1471.700117663225\n", - "Minimal eigen value: 0.5484060967518005\n", - "Eigen values: [8.07089317e+02 2.62083213e+02 5.48406097e-01 1.65461457e+00]\n", - "Eigen vectors: [[ 0.04560588 -0.32042744 -0.75599497 0.56896218]\n", - " [ 0.17900731 0.01386541 0.59469481 0.78364674]\n", - " [-0.11582536 0.93903609 -0.25305826 0.20188421]\n", - " [-0.97594107 -0.12387588 0.10378441 0.14636459]]\n", - "This is the 70 run out of 162 run.\n", - "The code has run 91.0167 seconds.\n", - "Estimated remaining time: 119.6219 seconds\n", - "(2.5, 700.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 71 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 29.27608182 5.79252557 -82.53468084 -25.00628352]\n", - " [ 5.79252557 26.86940689 -12.92596997 -140.42933771]\n", - " [ -82.53468084 -12.92596997 241.52898456 60.07708813]\n", - " [ -25.00628352 -140.42933771 60.07708813 770.33090596]]\n", - "Trace: 1068.0053792314388\n", - "Determinant: 181450.69474203617\n", - "Condition number: 1501.9556383407423\n", - "Minimal eigen value: 0.5354684063529392\n", - "Eigen values: [8.04249792e+02 2.61609546e+02 5.35468406e-01 1.61057235e+00]\n", - "Eigen vectors: [[ 0.04507237 -0.32010675 -0.75122833 0.57546168]\n", - " [ 0.17858271 0.01386172 0.60130267 0.77868554]\n", - " [-0.11492843 0.93928256 -0.25117499 0.20359482]\n", - " [-0.97614966 -0.12283237 0.10489146 0.14505804]]\n", - "This is the 71 run out of 162 run.\n", - "The code has run 92.4870 seconds.\n", - "Estimated remaining time: 118.5397 seconds\n", - "(2.5, 700.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 72 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.27608182 5.79252557 -82.53468084 -25.00628352]\n", - " [ 5.79252557 26.86940689 -12.92596997 -140.42933771]\n", - " [ -82.53468084 -12.92596997 241.52898456 60.07708813]\n", - " [ -25.00628352 -140.42933771 60.07708813 770.33090596]]\n", - "Trace: 1068.0053792314388\n", - "Determinant: 181450.69474203617\n", - "Condition number: 1501.9556383407423\n", - "Minimal eigen value: 0.5354684063529392\n", - "Eigen values: [8.04249792e+02 2.61609546e+02 5.35468406e-01 1.61057235e+00]\n", - "Eigen vectors: [[ 0.04507237 -0.32010675 -0.75122833 0.57546168]\n", - " [ 0.17858271 0.01386172 0.60130267 0.77868554]\n", - " [-0.11492843 0.93928256 -0.25117499 0.20359482]\n", - " [-0.97614966 -0.12283237 0.10489146 0.14505804]]\n", - "This is the 72 run out of 162 run.\n", - "The code has run 94.0331 seconds.\n", - "Estimated remaining time: 117.5413 seconds\n", - "(3.0, 300.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 73 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.78887004 6.07511496 -107.02247647 -28.02099618]\n", - " [ 6.07511496 32.92473073 -14.48411404 -178.54397808]\n", - " [-107.02247647 -14.48411404 319.30033573 71.22701223]\n", - " [ -28.02099618 -178.54397808 71.22701223 1004.35766813]]\n", - "Trace: 1393.3716046215663\n", - "Determinant: 259404.79249873152\n", - "Condition number: 2117.757640376852\n", - "Minimal eigen value: 0.49343292348975076\n", - "Eigen values: [1.04497134e+03 3.46454720e+02 4.93432923e-01 1.45210830e+00]\n", - "Eigen vectors: [[ 0.0394186 -0.31528763 -0.77789543 0.54214258]\n", - " [ 0.17432484 0.0139462 0.56510132 0.80627343]\n", - " [-0.10531109 0.94230095 -0.25714335 0.18669704]\n", - " [-0.9782467 -0.11166076 0.09703861 0.14542622]]\n", - "This is the 73 run out of 162 run.\n", - "The code has run 95.2204 seconds.\n", - "Estimated remaining time: 116.0906 seconds\n", - "(3.0, 300.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 74 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.78887004 6.07511496 -107.02247647 -28.02099618]\n", - " [ 6.07511496 32.92473073 -14.48411404 -178.54397808]\n", - " [-107.02247647 -14.48411404 319.30033573 71.22701223]\n", - " [ -28.02099618 -178.54397808 71.22701223 1004.35766813]]\n", - "Trace: 1393.3716046215663\n", - "Determinant: 259404.79249873152\n", - "Condition number: 2117.757640376852\n", - "Minimal eigen value: 0.49343292348975076\n", - "Eigen values: [1.04497134e+03 3.46454720e+02 4.93432923e-01 1.45210830e+00]\n", - "Eigen vectors: [[ 0.0394186 -0.31528763 -0.77789543 0.54214258]\n", - " [ 0.17432484 0.0139462 0.56510132 0.80627343]\n", - " [-0.10531109 0.94230095 -0.25714335 0.18669704]\n", - " [-0.9782467 -0.11166076 0.09703861 0.14542622]]\n", - "This is the 74 run out of 162 run.\n", - "The code has run 96.4109 seconds.\n", - "Estimated remaining time: 114.6508 seconds\n", - "(3.0, 350.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 75 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.47332719 8.27470828 -97.22204231 -38.8234079 ]\n", - " [ 8.27470828 37.56171186 -20.06730529 -196.9055002 ]\n", - " [ -97.22204231 -20.06730529 281.84658528 98.31564105]\n", - " [ -38.8234079 -196.9055002 98.31564105 1065.42753969]]\n", - "Trace: 1419.3091640169005\n", - "Determinant: 248947.0165905633\n", - "Condition number: 2121.25846562084\n", - "Minimal eigen value: 0.5262832514343758\n", - "Eigen values: [1.11638280e+03 3.00992350e+02 5.26283251e-01 1.40772810e+00]\n", - "Eigen vectors: [[ 0.04755314 -0.32206577 -0.77580529 0.54049837]\n", - " [ 0.18054388 0.0174534 0.56472719 0.80509781]\n", - " [-0.1246826 0.9372505 -0.26292016 0.19206442]\n", - " [-0.9744726 -0.13240286 0.10041086 0.15096452]]\n", - "This is the 75 run out of 162 run.\n", - "The code has run 97.6042 seconds.\n", - "Estimated remaining time: 113.2209 seconds\n", - "(3.0, 350.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 76 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.47332719 8.27470828 -97.22204231 -38.8234079 ]\n", - " [ 8.27470828 37.56171186 -20.06730529 -196.9055002 ]\n", - " [ -97.22204231 -20.06730529 281.84658528 98.31564105]\n", - " [ -38.8234079 -196.9055002 98.31564105 1065.42753969]]\n", - "Trace: 1419.3091640169005\n", - "Determinant: 248947.0165905633\n", - "Condition number: 2121.25846562084\n", - "Minimal eigen value: 0.5262832514343758\n", - "Eigen values: [1.11638280e+03 3.00992350e+02 5.26283251e-01 1.40772810e+00]\n", - "Eigen vectors: [[ 0.04755314 -0.32206577 -0.77580529 0.54049837]\n", - " [ 0.18054388 0.0174534 0.56472719 0.80509781]\n", - " [-0.1246826 0.9372505 -0.26292016 0.19206442]\n", - " [-0.9744726 -0.13240286 0.10041086 0.15096452]]\n", - "This is the 76 run out of 162 run.\n", - "The code has run 98.9418 seconds.\n", - "Estimated remaining time: 111.9604 seconds\n", - "(3.0, 400.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 77 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.82491387 7.82520522 -91.43172903 -34.93976104]\n", - " [ 7.82520522 34.18190578 -18.06004783 -174.4058766 ]\n", - " [ -91.43172903 -18.06004783 263.13353122 84.29020596]\n", - " [ -34.93976104 -174.4058766 84.29020596 926.35977707]]\n", - "Trace: 1256.5001279448131\n", - "Determinant: 263402.56815271225\n", - "Condition number: 1602.2755769906482\n", - "Minimal eigen value: 0.6066922513316659\n", - "Eigen values: [9.72088177e+02 2.82222721e+02 6.06692251e-01 1.58253717e+00]\n", - "Eigen vectors: [[ 0.05009398 -0.32372401 -0.78629932 0.52385755]\n", - " [ 0.18387427 0.01689333 0.54820737 0.81570432]\n", - " [-0.12688016 0.93624622 -0.26759042 0.18904978]\n", - " [-0.97343838 -0.13550056 0.09796643 0.15639663]]\n", - "This is the 77 run out of 162 run.\n", - "The code has run 100.3246 seconds.\n", - "Estimated remaining time: 110.7479 seconds\n", - "(3.0, 400.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 78 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 32.82491387 7.82520522 -91.43172903 -34.93976104]\n", - " [ 7.82520522 34.18190578 -18.06004783 -174.4058766 ]\n", - " [ -91.43172903 -18.06004783 263.13353122 84.29020596]\n", - " [ -34.93976104 -174.4058766 84.29020596 926.35977707]]\n", - "Trace: 1256.5001279448131\n", - "Determinant: 263402.56815271225\n", - "Condition number: 1602.2755769906482\n", - "Minimal eigen value: 0.6066922513316659\n", - "Eigen values: [9.72088177e+02 2.82222721e+02 6.06692251e-01 1.58253717e+00]\n", - "Eigen vectors: [[ 0.05009398 -0.32372401 -0.78629932 0.52385755]\n", - " [ 0.18387427 0.01689333 0.54820737 0.81570432]\n", - " [-0.12688016 0.93624622 -0.26759042 0.18904978]\n", - " [-0.97343838 -0.13550056 0.09796643 0.15639663]]\n", - "This is the 78 run out of 162 run.\n", - "The code has run 101.6813 seconds.\n", - "Estimated remaining time: 109.5029 seconds\n", - "(3.0, 450.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 79 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.66256554 7.10609412 -87.93847517 -30.83485889]\n", - " [ 7.10609412 31.02860775 -15.93844213 -157.81705407]\n", - " [ -87.93847517 -15.93844213 253.35355014 72.92161876]\n", - " [ -30.83485889 -157.81705407 72.92161876 841.966926 ]]\n", - "Trace: 1158.0116494264157\n", - "Determinant: 265767.57867752825\n", - "Condition number: 1373.6079632065182\n", - "Minimal eigen value: 0.6425068540890994\n", - "Eigen values: [8.82552531e+02 2.73100438e+02 6.42506854e-01 1.71617383e+00]\n", - "Eigen vectors: [[ 0.04968492 -0.32366053 -0.78237349 0.52978014]\n", - " [ 0.18324022 0.01570183 0.55464809 0.81150599]\n", - " [-0.12445593 0.9366119 -0.26566125 0.19155411]\n", - " [-0.97389176 -0.13324966 0.09839367 0.1552355 ]]\n", - "This is the 79 run out of 162 run.\n", - "The code has run 103.1048 seconds.\n", - "Estimated remaining time: 108.3252 seconds\n", - "(3.0, 450.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 80 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.66256554 7.10609412 -87.93847517 -30.83485889]\n", - " [ 7.10609412 31.02860775 -15.93844213 -157.81705407]\n", - " [ -87.93847517 -15.93844213 253.35355014 72.92161876]\n", - " [ -30.83485889 -157.81705407 72.92161876 841.966926 ]]\n", - "Trace: 1158.0116494264157\n", - "Determinant: 265767.57867752825\n", - "Condition number: 1373.6079632065182\n", - "Minimal eigen value: 0.6425068540890994\n", - "Eigen values: [8.82552531e+02 2.73100438e+02 6.42506854e-01 1.71617383e+00]\n", - "Eigen vectors: [[ 0.04968492 -0.32366053 -0.78237349 0.52978014]\n", - " [ 0.18324022 0.01570183 0.55464809 0.81150599]\n", - " [-0.12445593 0.9366119 -0.26566125 0.19155411]\n", - " [-0.97389176 -0.13324966 0.09839367 0.1552355 ]]\n", - "This is the 80 run out of 162 run.\n", - "The code has run 104.4539 seconds.\n", - "Estimated remaining time: 107.0653 seconds\n", - "(3.0, 500.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 81 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.89275008 6.69847439 -85.87819175 -28.67837266]\n", - " [ 6.69847439 29.40126677 -14.82387115 -150.06917871]\n", - " [ -85.87819175 -14.82387115 248.210254 67.4716929 ]\n", - " [ -28.67837266 -150.06917871 67.4716929 806.45237096]]\n", - "Trace: 1114.9566418120737\n", - "Determinant: 259295.44468122924\n", - "Condition number: 1312.5340626707155\n", - "Minimal eigen value: 0.6433044742163505\n", - "Eigen values: [8.44359035e+02 2.68174245e+02 6.43304474e-01 1.78005776e+00]\n", - "Eigen vectors: [[ 0.04871693 -0.32300943 -0.77416724 0.5421777 ]\n", - " [ 0.18206305 0.0148089 0.56753176 0.80283338]\n", - " [-0.12183745 0.93722982 -0.26183895 0.19543866]\n", - " [-0.97449235 -0.13055984 0.10006575 0.15266182]]\n", - "This is the 81 run out of 162 run.\n", - "The code has run 105.8648 seconds.\n", - "Estimated remaining time: 105.8648 seconds\n", - "(3.0, 500.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 82 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.89275008 6.69847439 -85.87819175 -28.67837266]\n", - " [ 6.69847439 29.40126677 -14.82387115 -150.06917871]\n", - " [ -85.87819175 -14.82387115 248.210254 67.4716929 ]\n", - " [ -28.67837266 -150.06917871 67.4716929 806.45237096]]\n", - "Trace: 1114.9566418120737\n", - "Determinant: 259295.44468122924\n", - "Condition number: 1312.5340626707155\n", - "Minimal eigen value: 0.6433044742163505\n", - "Eigen values: [8.44359035e+02 2.68174245e+02 6.43304474e-01 1.78005776e+00]\n", - "Eigen vectors: [[ 0.04871693 -0.32300943 -0.77416724 0.5421777 ]\n", - " [ 0.18206305 0.0148089 0.56753176 0.80283338]\n", - " [-0.12183745 0.93722982 -0.26183895 0.19543866]\n", - " [-0.97449235 -0.13055984 0.10006575 0.15266182]]\n", - "This is the 82 run out of 162 run.\n", - "The code has run 107.3280 seconds.\n", - "Estimated remaining time: 104.7103 seconds\n", - "(3.0, 550.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 83 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.38804002 6.47339817 -84.6433584 -27.51462402]\n", - " [ 6.47339817 28.50074425 -14.22239317 -146.12156994]\n", - " [ -84.6433584 -14.22239317 245.40590932 64.70096808]\n", - " [ -27.51462402 -146.12156994 64.70096808 789.89961054]]\n", - "Trace: 1094.1943041272043\n", - "Determinant: 247750.52298677372\n", - "Condition number: 1322.1585481935238\n", - "Minimal eigen value: 0.6250051674349029\n", - "Eigen values: [8.26355925e+02 2.65405979e+02 6.25005167e-01 1.80739520e+00]\n", - "Eigen vectors: [[ 0.04793455 -0.32228847 -0.76606069 0.55406086]\n", - " [ 0.18108178 0.01423008 0.57979722 0.79425567]\n", - " [-0.11999735 0.93775464 -0.2581166 0.19897912]\n", - " [-0.97494221 -0.12862302 0.10179398 0.15027242]]\n", - "This is the 83 run out of 162 run.\n", - "The code has run 108.9002 seconds.\n", - "Estimated remaining time: 103.6520 seconds\n", - "(3.0, 550.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 84 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.38804002 6.47339817 -84.6433584 -27.51462402]\n", - " [ 6.47339817 28.50074425 -14.22239317 -146.12156994]\n", - " [ -84.6433584 -14.22239317 245.40590932 64.70096808]\n", - " [ -27.51462402 -146.12156994 64.70096808 789.89961054]]\n", - "Trace: 1094.1943041272043\n", - "Determinant: 247750.52298677372\n", - "Condition number: 1322.1585481935238\n", - "Minimal eigen value: 0.6250051674349029\n", - "Eigen values: [8.26355925e+02 2.65405979e+02 6.25005167e-01 1.80739520e+00]\n", - "Eigen vectors: [[ 0.04793455 -0.32228847 -0.76606069 0.55406086]\n", - " [ 0.18108178 0.01423008 0.57979722 0.79425567]\n", - " [-0.11999735 0.93775464 -0.2581166 0.19897912]\n", - " [-0.97494221 -0.12862302 0.10179398 0.15027242]]\n", - "This is the 84 run out of 162 run.\n", - "The code has run 110.4046 seconds.\n", - "Estimated remaining time: 102.5186 seconds\n", - "(3.0, 600.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 85 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 30.04081103 6.30780567 -83.85983328 -26.72425063]\n", - " [ 6.30780567 27.90200091 -13.81389272 -143.74213782]\n", - " [ -83.85983328 -13.81389272 243.77251546 62.97409839]\n", - " [ -26.72425063 -143.74213782 62.97409839 780.83565947]]\n", - "Trace: 1082.5509868629858\n", - "Determinant: 233249.44652323253\n", - "Condition number: 1361.1345665049146\n", - "Minimal eigen value: 0.5997577130991854\n", - "Eigen values: [8.16350955e+02 2.63794338e+02 5.99757713e-01 1.80593621e+00]\n", - "Eigen vectors: [[ 0.04723544 -0.32167879 -0.7576378 0.5659298 ]\n", - " [ 0.18026288 0.01386971 0.5920096 0.78539006]\n", - " [-0.11853461 0.93818523 -0.25448998 0.20246697]\n", - " [-0.97530695 -0.12703884 0.10365545 0.14796293]]\n", - "This is the 85 run out of 162 run.\n", - "The code has run 111.9122 seconds.\n", - "Estimated remaining time: 101.3793 seconds\n", - "(3.0, 600.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 86 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.04081103 6.30780567 -83.85983328 -26.72425063]\n", - " [ 6.30780567 27.90200091 -13.81389272 -143.74213782]\n", - " [ -83.85983328 -13.81389272 243.77251546 62.97409839]\n", - " [ -26.72425063 -143.74213782 62.97409839 780.83565947]]\n", - "Trace: 1082.5509868629858\n", - "Determinant: 233249.44652323253\n", - "Condition number: 1361.1345665049146\n", - "Minimal eigen value: 0.5997577130991854\n", - "Eigen values: [8.16350955e+02 2.63794338e+02 5.99757713e-01 1.80593621e+00]\n", - "Eigen vectors: [[ 0.04723544 -0.32167879 -0.7576378 0.5659298 ]\n", - " [ 0.18026288 0.01386971 0.5920096 0.78539006]\n", - " [-0.11853461 0.93818523 -0.25448998 0.20246697]\n", - " [-0.97530695 -0.12703884 0.10365545 0.14796293]]\n", - "This is the 86 run out of 162 run.\n", - "The code has run 113.4058 seconds.\n", - "Estimated remaining time: 100.2190 seconds\n", - "(3.0, 650.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 87 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.77024282 6.13708961 -83.3071666 -26.04120816]\n", - " [ 6.13708961 27.4362864 -13.46086559 -142.09915598]\n", - " [ -83.3071666 -13.46086559 242.72262207 61.667352 ]\n", - " [ -26.04120816 -142.09915598 61.667352 775.21661348]]\n", - "Trace: 1075.1457647738398\n", - "Determinant: 216995.60713203996\n", - "Condition number: 1407.0534066169535\n", - "Minimal eigen value: 0.5756785168357853\n", - "Eigen values: [8.10010418e+02 2.62788852e+02 5.75678517e-01 1.77081575e+00]\n", - "Eigen vectors: [[ 0.04648282 -0.32116876 -0.74915178 0.57746133]\n", - " [ 0.17953631 0.01370117 0.60382111 0.77651727]\n", - " [-0.11714427 0.93857304 -0.25105296 0.20574324]\n", - " [-0.97564506 -0.12547332 0.10556558 0.145702 ]]\n", - "This is the 87 run out of 162 run.\n", - "The code has run 114.9530 seconds.\n", - "Estimated remaining time: 99.0975 seconds\n", - "(3.0, 650.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 88 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.77024282 6.13708961 -83.3071666 -26.04120816]\n", - " [ 6.13708961 27.4362864 -13.46086559 -142.09915598]\n", - " [ -83.3071666 -13.46086559 242.72262207 61.667352 ]\n", - " [ -26.04120816 -142.09915598 61.667352 775.21661348]]\n", - "Trace: 1075.1457647738398\n", - "Determinant: 216995.60713203996\n", - "Condition number: 1407.0534066169535\n", - "Minimal eigen value: 0.5756785168357853\n", - "Eigen values: [8.10010418e+02 2.62788852e+02 5.75678517e-01 1.77081575e+00]\n", - "Eigen vectors: [[ 0.04648282 -0.32116876 -0.74915178 0.57746133]\n", - " [ 0.17953631 0.01370117 0.60382111 0.77651727]\n", - " [-0.11714427 0.93857304 -0.25105296 0.20574324]\n", - " [-0.97564506 -0.12547332 0.10556558 0.145702 ]]\n", - "This is the 88 run out of 162 run.\n", - "The code has run 116.4528 seconds.\n", - "Estimated remaining time: 97.9262 seconds\n", - "(3.0, 700.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 89 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.53882947 5.95973797 -82.88577216 -25.43858804]\n", - " [ 5.95973797 27.07183176 -13.14940425 -140.95267917]\n", - " [ -82.88577216 -13.14940425 241.99812336 60.65474656]\n", - " [ -25.43858804 -140.95267917 60.65474656 771.68393275]]\n", - "Trace: 1070.2927173390817\n", - "Determinant: 200944.16798299024\n", - "Condition number: 1447.57068462181\n", - "Minimal eigen value: 0.5567387556544536\n", - "Eigen values: [8.05918702e+02 2.62108634e+02 5.56738756e-01 1.70864323e+00]\n", - "Eigen vectors: [[ 0.04572056 -0.32071284 -0.7423529 0.58648536]\n", - " [ 0.17892883 0.01369196 0.61299069 0.76944098]\n", - " [-0.11586404 0.93892699 -0.24836575 0.20810115]\n", - " [-0.9759455 -0.12398352 0.10709366 0.14383813]]\n", - "This is the 89 run out of 162 run.\n", - "The code has run 117.9202 seconds.\n", - "Estimated remaining time: 96.7211 seconds\n", - "(3.0, 700.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 90 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.53882947 5.95973797 -82.88577216 -25.43858804]\n", - " [ 5.95973797 27.07183176 -13.14940425 -140.95267917]\n", - " [ -82.88577216 -13.14940425 241.99812336 60.65474656]\n", - " [ -25.43858804 -140.95267917 60.65474656 771.68393275]]\n", - "Trace: 1070.2927173390817\n", - "Determinant: 200944.16798299024\n", - "Condition number: 1447.57068462181\n", - "Minimal eigen value: 0.5567387556544536\n", - "Eigen values: [8.05918702e+02 2.62108634e+02 5.56738756e-01 1.70864323e+00]\n", - "Eigen vectors: [[ 0.04572056 -0.32071284 -0.7423529 0.58648536]\n", - " [ 0.17892883 0.01369196 0.61299069 0.76944098]\n", - " [-0.11586404 0.93892699 -0.24836575 0.20810115]\n", - " [-0.9759455 -0.12398352 0.10709366 0.14383813]]\n", - "This is the 90 run out of 162 run.\n", - "The code has run 119.5155 seconds.\n", - "Estimated remaining time: 95.6124 seconds\n", - "(3.5, 300.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 91 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 39.7174602 6.31439353 -116.15343469 -29.4644378 ]\n", - " [ 6.31439353 35.27750697 -15.23015127 -192.73710824]\n", - " [-116.15343469 -15.23015127 347.76946028 75.72746206]\n", - " [ -29.4644378 -192.73710824 75.72746206 1089.97777089]]\n", - "Trace: 1512.7421983402073\n", - "Determinant: 311399.09067781235\n", - "Condition number: 2286.542819651653\n", - "Minimal eigen value: 0.4956344365813532\n", - "Eigen values: [1.13328936e+03 3.77488576e+02 4.95634437e-01 1.46862610e+00]\n", - "Eigen vectors: [[ 0.03835004 -0.31442127 -0.77828842 0.54215835]\n", - " [ 0.17344009 0.01388478 0.56484731 0.80664321]\n", - " [-0.10337977 0.94284961 -0.25663367 0.18570512]\n", - " [-0.97865236 -0.10945814 0.09671514 0.14458445]]\n", - "This is the 91 run out of 162 run.\n", - "The code has run 120.6415 seconds.\n", - "Estimated remaining time: 94.1269 seconds\n", - "(3.5, 300.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 92 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 39.7174602 6.31439353 -116.15343469 -29.4644378 ]\n", - " [ 6.31439353 35.27750697 -15.23015127 -192.73710824]\n", - " [-116.15343469 -15.23015127 347.76946028 75.72746206]\n", - " [ -29.4644378 -192.73710824 75.72746206 1089.97777089]]\n", - "Trace: 1512.7421983402073\n", - "Determinant: 311399.09067781235\n", - "Condition number: 2286.542819651653\n", - "Minimal eigen value: 0.4956344365813532\n", - "Eigen values: [1.13328936e+03 3.77488576e+02 4.95634437e-01 1.46862610e+00]\n", - "Eigen vectors: [[ 0.03835004 -0.31442127 -0.77828842 0.54215835]\n", - " [ 0.17344009 0.01388478 0.56484731 0.80664321]\n", - " [-0.10337977 0.94284961 -0.25663367 0.18570512]\n", - " [-0.97865236 -0.10945814 0.09671514 0.14458445]]\n", - "This is the 92 run out of 162 run.\n", - "The code has run 121.7611 seconds.\n", - "Estimated remaining time: 92.6443 seconds\n", - "(3.5, 350.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 93 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.5657491 9.30828444 -102.81395486 -44.16772042]\n", - " [ 9.30828444 41.58895351 -22.82949492 -217.72918002]\n", - " [-102.81395486 -22.82949492 296.7907444 112.59809575]\n", - " [ -44.16772042 -217.72918002 112.59809575 1173.10065161]]\n", - "Trace: 1548.0460986209075\n", - "Determinant: 295280.74015585403\n", - "Condition number: 2286.0181487108425\n", - "Minimal eigen value: 0.5382748263648286\n", - "Eigen values: [1.23050602e+03 3.15589182e+02 5.38274826e-01 1.41261951e+00]\n", - "Eigen vectors: [[ 0.04839818 -0.32310756 -0.77521185 0.54065303]\n", - " [ 0.18118963 0.01825265 0.56496884 0.80476541]\n", - " [-0.12721352 0.93650897 -0.26390515 0.19267003]\n", - " [-0.97398391 -0.13497885 0.10104885 0.15141065]]\n", - "This is the 93 run out of 162 run.\n", - "The code has run 122.8987 seconds.\n", - "Estimated remaining time: 91.1829 seconds\n", - "(3.5, 350.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 94 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.5657491 9.30828444 -102.81395486 -44.16772042]\n", - " [ 9.30828444 41.58895351 -22.82949492 -217.72918002]\n", - " [-102.81395486 -22.82949492 296.7907444 112.59809575]\n", - " [ -44.16772042 -217.72918002 112.59809575 1173.10065161]]\n", - "Trace: 1548.0460986209075\n", - "Determinant: 295280.74015585403\n", - "Condition number: 2286.0181487108425\n", - "Minimal eigen value: 0.5382748263648286\n", - "Eigen values: [1.23050602e+03 3.15589182e+02 5.38274826e-01 1.41261951e+00]\n", - "Eigen vectors: [[ 0.04839818 -0.32310756 -0.77521185 0.54065303]\n", - " [ 0.18118963 0.01825265 0.56496884 0.80476541]\n", - " [-0.12721352 0.93650897 -0.26390515 0.19267003]\n", - " [-0.97398391 -0.13497885 0.10104885 0.15141065]]\n", - "This is the 94 run out of 162 run.\n", - "The code has run 124.0137 seconds.\n", - "Estimated remaining time: 89.7121 seconds\n", - "(3.5, 400.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 95 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.3220754 8.6964608 -94.93269507 -38.88164545]\n", - " [ 8.6964608 36.98866185 -20.09739441 -187.10469208]\n", - " [ -94.93269507 -20.09739441 271.32019844 93.50791985]\n", - " [ -38.88164545 -187.10469208 93.50791985 983.8139735 ]]\n", - "Trace: 1326.444909189725\n", - "Determinant: 317057.5521865532\n", - "Condition number: 1601.7324036106527\n", - "Minimal eigen value: 0.6456385390230688\n", - "Eigen values: [1.03414017e+03 2.90021762e+02 6.45638539e-01 1.63733921e+00]\n", - "Eigen vectors: [[ 0.05183111 -0.32535143 -0.78785307 0.52033406]\n", - " [ 0.18556983 0.01769387 0.5448494 0.81755116]\n", - " [-0.13055514 0.93508071 -0.26978738 0.18919354]\n", - " [-0.97253932 -0.13948996 0.09819083 0.15832998]]\n", - "This is the 95 run out of 162 run.\n", - "The code has run 125.3029 seconds.\n", - "Estimated remaining time: 88.3715 seconds\n", - "(3.5, 400.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 96 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.3220754 8.6964608 -94.93269507 -38.88164545]\n", - " [ 8.6964608 36.98866185 -20.09739441 -187.10469208]\n", - " [ -94.93269507 -20.09739441 271.32019844 93.50791985]\n", - " [ -38.88164545 -187.10469208 93.50791985 983.8139735 ]]\n", - "Trace: 1326.444909189725\n", - "Determinant: 317057.5521865532\n", - "Condition number: 1601.7324036106527\n", - "Minimal eigen value: 0.6456385390230688\n", - "Eigen values: [1.03414017e+03 2.90021762e+02 6.45638539e-01 1.63733921e+00]\n", - "Eigen vectors: [[ 0.05183111 -0.32535143 -0.78785307 0.52033406]\n", - " [ 0.18556983 0.01769387 0.5448494 0.81755116]\n", - " [-0.13055514 0.93508071 -0.26978738 0.18919354]\n", - " [-0.97253932 -0.13948996 0.09819083 0.15832998]]\n", - "This is the 96 run out of 162 run.\n", - "The code has run 126.6147 seconds.\n", - "Estimated remaining time: 87.0476 seconds\n", - "(3.5, 450.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 97 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.73999019 7.71767073 -90.17798848 -33.29441763]\n", - " [ 7.71767073 32.69667292 -17.20965341 -164.52546167]\n", - " [ -90.17798848 -17.20965341 258.00855769 78.03400986]\n", - " [ -33.29441763 -164.52546167 78.03400986 868.9459274 ]]\n", - "Trace: 1192.3911481973423\n", - "Determinant: 320838.015192606\n", - "Condition number: 1310.4792317939582\n", - "Minimal eigen value: 0.6961225904499246\n", - "Eigen values: [9.12254198e+02 2.77620993e+02 6.96122590e-01 1.81983460e+00]\n", - "Eigen vectors: [[ 0.05158354 -0.32531066 -0.78337796 0.52709685]\n", - " [ 0.18496272 0.01621672 0.55228293 0.81271728]\n", - " [-0.12802873 0.93545287 -0.26752463 0.1922684 ]\n", - " [-0.97300389 -0.13725128 0.09865653 0.15713815]]\n", - "This is the 97 run out of 162 run.\n", - "The code has run 128.0904 seconds.\n", - "Estimated remaining time: 85.8338 seconds\n", - "(3.5, 450.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 98 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.73999019 7.71767073 -90.17798848 -33.29441763]\n", - " [ 7.71767073 32.69667292 -17.20965341 -164.52546167]\n", - " [ -90.17798848 -17.20965341 258.00855769 78.03400986]\n", - " [ -33.29441763 -164.52546167 78.03400986 868.9459274 ]]\n", - "Trace: 1192.3911481973423\n", - "Determinant: 320838.015192606\n", - "Condition number: 1310.4792317939582\n", - "Minimal eigen value: 0.6961225904499246\n", - "Eigen values: [9.12254198e+02 2.77620993e+02 6.96122590e-01 1.81983460e+00]\n", - "Eigen vectors: [[ 0.05158354 -0.32531066 -0.78337796 0.52709685]\n", - " [ 0.18496272 0.01621672 0.55228293 0.81271728]\n", - " [-0.12802873 0.93545287 -0.26752463 0.1922684 ]\n", - " [-0.97300389 -0.13725128 0.09865653 0.15713815]]\n", - "This is the 98 run out of 162 run.\n", - "The code has run 129.4455 seconds.\n", - "Estimated remaining time: 84.5358 seconds\n", - "(3.5, 500.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 99 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 31.69218581 7.16285497 -87.37371372 -30.35920012]\n", - " [ 7.16285497 30.48168103 -15.69259823 -153.97974222]\n", - " [ -87.37371372 -15.69259823 251.00795977 70.61605418]\n", - " [ -30.35920012 -153.97974222 70.61605418 820.60667033]]\n", - "Trace: 1133.7884969451964\n", - "Determinant: 311236.03090905806\n", - "Condition number: 1231.0552044357423\n", - "Minimal eigen value: 0.6987885964935451\n", - "Eigen values: [8.60247339e+02 2.70931367e+02 6.98788596e-01 1.91100329e+00]\n", - "Eigen vectors: [[ 0.05042917 -0.32447447 -0.77341286 0.54222298]\n", - " [ 0.18349645 0.01503459 0.5680281 0.80215154]\n", - " [-0.12482559 0.93623603 -0.26275902 0.19707452]\n", - " [-0.97375794 -0.13398648 0.10066939 0.15397653]]\n", - "This is the 99 run out of 162 run.\n", - "The code has run 130.7976 seconds.\n", - "Estimated remaining time: 83.2349 seconds\n", - "(3.5, 500.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 100 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.69218581 7.16285497 -87.37371372 -30.35920012]\n", - " [ 7.16285497 30.48168103 -15.69259823 -153.97974222]\n", - " [ -87.37371372 -15.69259823 251.00795977 70.61605418]\n", - " [ -30.35920012 -153.97974222 70.61605418 820.60667033]]\n", - "Trace: 1133.7884969451964\n", - "Determinant: 311236.03090905806\n", - "Condition number: 1231.0552044357423\n", - "Minimal eigen value: 0.6987885964935451\n", - "Eigen values: [8.60247339e+02 2.70931367e+02 6.98788596e-01 1.91100329e+00]\n", - "Eigen vectors: [[ 0.05042917 -0.32447447 -0.77341286 0.54222298]\n", - " [ 0.18349645 0.01503459 0.5680281 0.80215154]\n", - " [-0.12482559 0.93623603 -0.26275902 0.19707452]\n", - " [-0.97375794 -0.13398648 0.10066939 0.15397653]]\n", - "This is the 100 run out of 162 run.\n", - "The code has run 132.1533 seconds.\n", - "Estimated remaining time: 81.9350 seconds\n", - "(3.5, 550.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 101 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.00521934 6.85650123 -85.69296843 -28.77520902]\n", - " [ 6.85650123 29.25596982 -14.8739201 -148.60660828]\n", - " [ -85.69296843 -14.8739201 247.19093546 66.84479086]\n", - " [ -28.77520902 -148.60660828 66.84479086 798.07652584]]\n", - "Trace: 1105.528650449711\n", - "Determinant: 294005.94852919155\n", - "Condition number: 1238.6960115595953\n", - "Minimal eigen value: 0.6746854263913779\n", - "Eigen values: [8.35730147e+02 2.67172188e+02 6.74685426e-01 1.95162994e+00]\n", - "Eigen vectors: [[ 0.0494343 -0.3235256 -0.76345123 0.55680307]\n", - " [ 0.1822192 0.01424747 0.58308316 0.79158525]\n", - " [-0.12246692 0.93692714 -0.25806772 0.20142105]\n", - " [-0.97434812 -0.13151324 0.10274873 0.15097251]]\n", - "This is the 101 run out of 162 run.\n", - "The code has run 133.5509 seconds.\n", - "Estimated remaining time: 80.6594 seconds\n", - "(3.5, 550.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 102 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.00521934 6.85650123 -85.69296843 -28.77520902]\n", - " [ 6.85650123 29.25596982 -14.8739201 -148.60660828]\n", - " [ -85.69296843 -14.8739201 247.19093546 66.84479086]\n", - " [ -28.77520902 -148.60660828 66.84479086 798.07652584]]\n", - "Trace: 1105.528650449711\n", - "Determinant: 294005.94852919155\n", - "Condition number: 1238.6960115595953\n", - "Minimal eigen value: 0.6746854263913779\n", - "Eigen values: [8.35730147e+02 2.67172188e+02 6.74685426e-01 1.95162994e+00]\n", - "Eigen vectors: [[ 0.0494343 -0.3235256 -0.76345123 0.55680307]\n", - " [ 0.1822192 0.01424747 0.58308316 0.79158525]\n", - " [-0.12246692 0.93692714 -0.25806772 0.20142105]\n", - " [-0.97434812 -0.13151324 0.10274873 0.15097251]]\n", - "This is the 102 run out of 162 run.\n", - "The code has run 134.9460 seconds.\n", - "Estimated remaining time: 79.3800 seconds\n", - "(3.5, 600.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 103 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.5326021 6.63111144 -84.62650368 -27.69942302]\n", - " [ 6.63111144 28.44101361 -14.31790559 -145.36793678]\n", - " [ -84.62650368 -14.31790559 244.96770492 64.49432934]\n", - " [ -27.69942302 -145.36793678 64.49432934 785.73948133]]\n", - "Trace: 1089.6808019535226\n", - "Determinant: 272410.99410904915\n", - "Condition number: 1283.5532630981627\n", - "Minimal eigen value: 0.6404904869131023\n", - "Eigen values: [8.22103654e+02 2.64984273e+02 6.40490487e-01 1.95238413e+00]\n", - "Eigen vectors: [[ 0.04851718 -0.32271544 -0.7530089 0.57138291]\n", - " [ 0.18113193 0.01375058 0.59808001 0.78057827]\n", - " [-0.12054473 0.93750324 -0.25348335 0.20567651]\n", - " [-0.97483654 -0.12943468 0.10499566 0.14804156]]\n", - "This is the 103 run out of 162 run.\n", - "The code has run 136.3795 seconds.\n", - "Estimated remaining time: 78.1203 seconds\n", - "(3.5, 600.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 104 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.5326021 6.63111144 -84.62650368 -27.69942302]\n", - " [ 6.63111144 28.44101361 -14.31790559 -145.36793678]\n", - " [ -84.62650368 -14.31790559 244.96770492 64.49432934]\n", - " [ -27.69942302 -145.36793678 64.49432934 785.73948133]]\n", - "Trace: 1089.6808019535226\n", - "Determinant: 272410.99410904915\n", - "Condition number: 1283.5532630981627\n", - "Minimal eigen value: 0.6404904869131023\n", - "Eigen values: [8.22103654e+02 2.64984273e+02 6.40490487e-01 1.95238413e+00]\n", - "Eigen vectors: [[ 0.04851718 -0.32271544 -0.7530089 0.57138291]\n", - " [ 0.18113193 0.01375058 0.59808001 0.78057827]\n", - " [-0.12054473 0.93750324 -0.25348335 0.20567651]\n", - " [-0.97483654 -0.12943468 0.10499566 0.14804156]]\n", - "This is the 104 run out of 162 run.\n", - "The code has run 137.9105 seconds.\n", - "Estimated remaining time: 76.9116 seconds\n", - "(3.5, 650.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 105 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.16432871 6.39874791 -83.87426292 -26.76972632]\n", - " [ 6.39874791 27.80712441 -13.83739643 -143.13165594]\n", - " [ -83.87426292 -13.83739643 243.53868336 62.71570231]\n", - " [ -26.76972632 -143.13165594 62.71570231 778.0913354 ]]\n", - "Trace: 1079.601471888402\n", - "Determinant: 248413.1467302102\n", - "Condition number: 1339.1644113924633\n", - "Minimal eigen value: 0.6074436903249106\n", - "Eigen values: [8.13466972e+02 2.63620058e+02 6.07443690e-01 1.90699772e+00]\n", - "Eigen vectors: [[ 0.04751176 -0.32203464 -0.74224154 0.58575918]\n", - " [ 0.18015667 0.01351365 0.61279354 0.76931466]\n", - " [-0.11868894 0.93802677 -0.24907421 0.20971589]\n", - " [-0.97529439 -0.12734541 0.10734809 0.14512199]]\n", - "This is the 105 run out of 162 run.\n", - "The code has run 139.3642 seconds.\n", - "Estimated remaining time: 75.6548 seconds\n", - "(3.5, 650.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 106 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 30.16432871 6.39874791 -83.87426292 -26.76972632]\n", - " [ 6.39874791 27.80712441 -13.83739643 -143.13165594]\n", - " [ -83.87426292 -13.83739643 243.53868336 62.71570231]\n", - " [ -26.76972632 -143.13165594 62.71570231 778.0913354 ]]\n", - "Trace: 1079.601471888402\n", - "Determinant: 248413.1467302102\n", - "Condition number: 1339.1644113924633\n", - "Minimal eigen value: 0.6074436903249106\n", - "Eigen values: [8.13466972e+02 2.63620058e+02 6.07443690e-01 1.90699772e+00]\n", - "Eigen vectors: [[ 0.04751176 -0.32203464 -0.74224154 0.58575918]\n", - " [ 0.18015667 0.01351365 0.61279354 0.76931466]\n", - " [-0.11868894 0.93802677 -0.24907421 0.20971589]\n", - " [-0.97529439 -0.12734541 0.10734809 0.14512199]]\n", - "This is the 106 run out of 162 run.\n", - "The code has run 140.8537 seconds.\n", - "Estimated remaining time: 74.4133 seconds\n", - "(3.5, 700.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 107 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.84934945 6.15735264 -83.3006983 -25.94949342]\n", - " [ 6.15735264 27.31106116 -13.41346297 -141.57117361]\n", - " [ -83.3006983 -13.41346297 242.55256015 61.33743382]\n", - " [ -25.94949342 -141.57117361 61.33743382 773.28296441]]\n", - "Trace: 1072.9959351710581\n", - "Determinant: 225036.58533753204\n", - "Condition number: 1389.9708943774162\n", - "Minimal eigen value: 0.5812303281681005\n", - "Eigen values: [8.07893239e+02 2.62697169e+02 5.81230328e-01 1.82429680e+00]\n", - "Eigen vectors: [[ 0.04648384 -0.32142336 -0.73317849 0.59747433]\n", - " [ 0.17933613 0.01349496 0.6246889 0.75988172]\n", - " [-0.11696451 0.93850693 -0.24548481 0.21274692]\n", - " [-0.97570339 -0.12533816 0.10931739 0.14262871]]\n", - "This is the 107 run out of 162 run.\n", - "The code has run 142.4807 seconds.\n", - "Estimated remaining time: 73.2377 seconds\n", - "(3.5, 700.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 108 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.84934945 6.15735264 -83.3006983 -25.94949342]\n", - " [ 6.15735264 27.31106116 -13.41346297 -141.57117361]\n", - " [ -83.3006983 -13.41346297 242.55256015 61.33743382]\n", - " [ -25.94949342 -141.57117361 61.33743382 773.28296441]]\n", - "Trace: 1072.9959351710581\n", - "Determinant: 225036.58533753204\n", - "Condition number: 1389.9708943774162\n", - "Minimal eigen value: 0.5812303281681005\n", - "Eigen values: [8.07893239e+02 2.62697169e+02 5.81230328e-01 1.82429680e+00]\n", - "Eigen vectors: [[ 0.04648384 -0.32142336 -0.73317849 0.59747433]\n", - " [ 0.17933613 0.01349496 0.6246889 0.75988172]\n", - " [-0.11696451 0.93850693 -0.24548481 0.21274692]\n", - " [-0.97570339 -0.12533816 0.10931739 0.14262871]]\n", - "This is the 108 run out of 162 run.\n", - "The code has run 144.0625 seconds.\n", - "Estimated remaining time: 72.0312 seconds\n", - "(4.0, 300.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 109 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 43.09660269 6.59048419 -126.68915571 -31.12994736]\n", - " [ 6.59048419 37.99224879 -16.09096346 -209.11379689]\n", - " [-126.68915571 -16.09096346 380.61845015 80.9202888 ]\n", - " [ -31.12994736 -209.11379689 80.9202888 1188.77019715]]\n", - "Trace: 1650.4774987836786\n", - "Determinant: 377289.9144015313\n", - "Condition number: 2481.533158401581\n", - "Minimal eigen value: 0.4977587555583983\n", - "Eigen values: [1.23520486e+03 4.13290103e+02 4.97758756e-01 1.48478063e+00]\n", - "Eigen vectors: [[ 0.03730531 -0.3135781 -0.77866613 0.54217722]\n", - " [ 0.1725762 0.01383184 0.56460354 0.80699999]\n", - " [-0.10148488 0.9433793 -0.25614111 0.18473777]\n", - " [-0.97904371 -0.10729839 0.09640345 0.14375966]]\n", - "This is the 109 run out of 162 run.\n", - "The code has run 145.2640 seconds.\n", - "Estimated remaining time: 70.6330 seconds\n", - "(4.0, 300.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 110 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 43.09660269 6.59048419 -126.68915571 -31.12994736]\n", - " [ 6.59048419 37.99224879 -16.09096346 -209.11379689]\n", - " [-126.68915571 -16.09096346 380.61845015 80.9202888 ]\n", - " [ -31.12994736 -209.11379689 80.9202888 1188.77019715]]\n", - "Trace: 1650.4774987836786\n", - "Determinant: 377289.9144015313\n", - "Condition number: 2481.533158401581\n", - "Minimal eigen value: 0.4977587555583983\n", - "Eigen values: [1.23520486e+03 4.13290103e+02 4.97758756e-01 1.48478063e+00]\n", - "Eigen vectors: [[ 0.03730531 -0.3135781 -0.77866613 0.54217722]\n", - " [ 0.1725762 0.01383184 0.56460354 0.80699999]\n", - " [-0.10148488 0.9433793 -0.25614111 0.18473777]\n", - " [-0.97904371 -0.10729839 0.09640345 0.14375966]]\n", - "This is the 110 run out of 162 run.\n", - "The code has run 146.4558 seconds.\n", - "Estimated remaining time: 69.2337 seconds\n", - "(4.0, 350.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 111 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 38.98008208 10.50087231 -109.26616165 -50.33423487]\n", - " [ 10.50087231 46.2357708 -26.0166368 -241.75650289]\n", - " [-109.26616165 -26.0166368 314.03400492 129.07785117]\n", - " [ -50.33423487 -241.75650289 129.07785117 1297.33885768]]\n", - "Trace: 1696.588715479351\n", - "Determinant: 353397.8312879253\n", - "Condition number: 2473.8645149810354\n", - "Minimal eigen value: 0.5506368680154294\n", - "Eigen values: [1.36220101e+03 3.32419741e+02 5.50636868e-01 1.41732872e+00]\n", - "Eigen vectors: [[ 0.04917049 -0.32421068 -0.77441886 0.54105926]\n", - " [ 0.18180006 0.01903732 0.56547639 0.80425292]\n", - " [-0.12952444 0.93577129 -0.26488389 0.19337021]\n", - " [-0.9735268 -0.1373212 0.10172706 0.15178957]]\n", - "This is the 111 run out of 162 run.\n", - "The code has run 147.7579 seconds.\n", - "Estimated remaining time: 67.8888 seconds\n", - "(4.0, 350.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 112 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 38.98008208 10.50087231 -109.26616165 -50.33423487]\n", - " [ 10.50087231 46.2357708 -26.0166368 -241.75650289]\n", - " [-109.26616165 -26.0166368 314.03400492 129.07785117]\n", - " [ -50.33423487 -241.75650289 129.07785117 1297.33885768]]\n", - "Trace: 1696.588715479351\n", - "Determinant: 353397.8312879253\n", - "Condition number: 2473.8645149810354\n", - "Minimal eigen value: 0.5506368680154294\n", - "Eigen values: [1.36220101e+03 3.32419741e+02 5.50636868e-01 1.41732872e+00]\n", - "Eigen vectors: [[ 0.04917049 -0.32421068 -0.77441886 0.54105926]\n", - " [ 0.18180006 0.01903732 0.56547639 0.80425292]\n", - " [-0.12952444 0.93577129 -0.26488389 0.19337021]\n", - " [-0.9735268 -0.1373212 0.10172706 0.15178957]]\n", - "This is the 112 run out of 162 run.\n", - "The code has run 148.9649 seconds.\n", - "Estimated remaining time: 66.5022 seconds\n", - "(4.0, 400.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 113 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 36.04956949 9.70175573 -98.97227132 -43.42997368]\n", - " [ 9.70175573 40.22722663 -22.44817902 -201.75717188]\n", - " [ -98.97227132 -22.44817902 280.76635309 104.14374396]\n", - " [ -43.42997368 -201.75717188 104.14374396 1050.10727896]]\n", - "Trace: 1407.150428173226\n", - "Determinant: 385007.66008115205\n", - "Condition number: 1607.7050261633747\n", - "Minimal eigen value: 0.6877958792213302\n", - "Eigen values: [1.10577289e+03 2.98996660e+02 6.87795879e-01 1.69308018e+00]\n", - "Eigen vectors: [[ 0.05355966 -0.32712622 -0.78888975 0.51746764]\n", - " [ 0.18728768 0.01854209 0.54218599 0.81891017]\n", - " [-0.13417312 0.93385046 -0.27197264 0.18960955]\n", - " [-0.97162352 -0.14341531 0.09858088 0.16019237]]\n", - "This is the 113 run out of 162 run.\n", - "The code has run 150.3268 seconds.\n", - "Estimated remaining time: 65.1860 seconds\n", - "(4.0, 400.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 114 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.04956949 9.70175573 -98.97227132 -43.42997368]\n", - " [ 9.70175573 40.22722663 -22.44817902 -201.75717188]\n", - " [ -98.97227132 -22.44817902 280.76635309 104.14374396]\n", - " [ -43.42997368 -201.75717188 104.14374396 1050.10727896]]\n", - "Trace: 1407.150428173226\n", - "Determinant: 385007.66008115205\n", - "Condition number: 1607.7050261633747\n", - "Minimal eigen value: 0.6877958792213302\n", - "Eigen values: [1.10577289e+03 2.98996660e+02 6.87795879e-01 1.69308018e+00]\n", - "Eigen vectors: [[ 0.05355966 -0.32712622 -0.78888975 0.51746764]\n", - " [ 0.18728768 0.01854209 0.54218599 0.81891017]\n", - " [-0.13417312 0.93385046 -0.27197264 0.18960955]\n", - " [-0.97162352 -0.14341531 0.09858088 0.16019237]]\n", - "This is the 114 run out of 162 run.\n", - "The code has run 151.6982 seconds.\n", - "Estimated remaining time: 63.8729 seconds\n", - "(4.0, 450.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 115 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 33.98317248 8.42333604 -92.76204231 -36.13237 ]\n", - " [ 8.42333604 34.62136349 -18.67643566 -172.26593198]\n", - " [ -92.76204231 -18.67643566 263.37972026 83.93292272]\n", - " [ -36.13237 -172.26593198 83.93292272 900.07554444]]\n", - "Trace: 1232.0598006660607\n", - "Determinant: 390791.50345847104\n", - "Condition number: 1252.164170768648\n", - "Minimal eigen value: 0.755936785366837\n", - "Eigen values: [9.46556958e+02 2.82815786e+02 7.55936785e-01 1.93111988e+00]\n", - "Eigen vectors: [[ 0.0536091 -0.32713615 -0.78407605 0.52472159]\n", - " [ 0.18681353 0.0168036 0.55027211 0.81364547]\n", - " [-0.13180724 0.93417415 -0.2694697 0.19321382]\n", - " [-0.97203581 -0.14148579 0.09905265 0.1591123 ]]\n", - "This is the 115 run out of 162 run.\n", - "The code has run 153.0307 seconds.\n", - "Estimated remaining time: 62.5430 seconds\n", - "(4.0, 450.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 116 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 33.98317248 8.42333604 -92.76204231 -36.13237 ]\n", - " [ 8.42333604 34.62136349 -18.67643566 -172.26593198]\n", - " [ -92.76204231 -18.67643566 263.37972026 83.93292272]\n", - " [ -36.13237 -172.26593198 83.93292272 900.07554444]]\n", - "Trace: 1232.0598006660607\n", - "Determinant: 390791.50345847104\n", - "Condition number: 1252.164170768648\n", - "Minimal eigen value: 0.755936785366837\n", - "Eigen values: [9.46556958e+02 2.82815786e+02 7.55936785e-01 1.93111988e+00]\n", - "Eigen vectors: [[ 0.0536091 -0.32713615 -0.78407605 0.52472159]\n", - " [ 0.18681353 0.0168036 0.55027211 0.81364547]\n", - " [-0.13180724 0.93417415 -0.2694697 0.19321382]\n", - " [-0.97203581 -0.14148579 0.09905265 0.1591123 ]]\n", - "This is the 116 run out of 162 run.\n", - "The code has run 154.3540 seconds.\n", - "Estimated remaining time: 61.2094 seconds\n", - "(4.0, 500.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 117 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.61461165 7.69867872 -89.0993162 -32.29861664]\n", - " [ 7.69867872 31.72831286 -16.6949761 -158.49193134]\n", - " [ -89.0993162 -16.6949761 254.23608263 74.24416551]\n", - " [ -32.29861664 -158.49193134 74.24416551 836.93855774]]\n", - "Trace: 1155.517564889954\n", - "Determinant: 377055.4844963731\n", - "Condition number: 1153.56396067208\n", - "Minimal eigen value: 0.7616413010273266\n", - "Eigen values: [8.78601956e+02 2.74098284e+02 7.61641301e-01 2.05568371e+00]\n", - "Eigen vectors: [[ 0.05232178 -0.32611304 -0.77255089 0.54228945]\n", - " [ 0.18508459 0.0153093 0.56859711 0.80137797]\n", - " [-0.12810799 0.93511485 -0.2637982 0.1988946 ]\n", - " [-0.97293087 -0.13775386 0.10135559 0.15542345]]\n", - "This is the 117 run out of 162 run.\n", - "The code has run 155.7121 seconds.\n", - "Estimated remaining time: 59.8893 seconds\n", - "(4.0, 500.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 118 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.61461165 7.69867872 -89.0993162 -32.29861664]\n", - " [ 7.69867872 31.72831286 -16.6949761 -158.49193134]\n", - " [ -89.0993162 -16.6949761 254.23608263 74.24416551]\n", - " [ -32.29861664 -158.49193134 74.24416551 836.93855774]]\n", - "Trace: 1155.517564889954\n", - "Determinant: 377055.4844963731\n", - "Condition number: 1153.56396067208\n", - "Minimal eigen value: 0.7616413010273266\n", - "Eigen values: [8.78601956e+02 2.74098284e+02 7.61641301e-01 2.05568371e+00]\n", - "Eigen vectors: [[ 0.05232178 -0.32611304 -0.77255089 0.54228945]\n", - " [ 0.18508459 0.0153093 0.56859711 0.80137797]\n", - " [-0.12810799 0.93511485 -0.2637982 0.1988946 ]\n", - " [-0.97293087 -0.13775386 0.10135559 0.15542345]]\n", - "This is the 118 run out of 162 run.\n", - "The code has run 157.1833 seconds.\n", - "Estimated remaining time: 58.6107 seconds\n", - "(4.0, 550.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 119 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.71734916 7.29854327 -86.90405671 -30.22973035]\n", - " [ 7.29854327 30.12738394 -15.62568199 -151.47396021]\n", - " [ -86.90405671 -15.62568199 249.25058073 69.31843272]\n", - " [ -30.22973035 -151.47396021 69.31843272 807.51142812]]\n", - "Trace: 1118.606741960431\n", - "Determinant: 352265.93053194525\n", - "Condition number: 1157.5019448123237\n", - "Minimal eigen value: 0.731369368906729\n", - "Eigen values: [8.46561467e+02 2.69200418e+02 7.31369369e-01 2.11348733e+00]\n", - "Eigen vectors: [[ 0.05112181 -0.32491964 -0.76087976 0.55935299]\n", - " [ 0.18349975 0.01428386 0.58622697 0.78896245]\n", - " [-0.12523328 0.93598322 -0.25814533 0.2039927 ]\n", - " [-0.97366885 -0.13475387 0.10373479 0.15182048]]\n", - "This is the 119 run out of 162 run.\n", - "The code has run 158.5987 seconds.\n", - "Estimated remaining time: 57.3088 seconds\n", - "(4.0, 550.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 120 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 31.71734916 7.29854327 -86.90405671 -30.22973035]\n", - " [ 7.29854327 30.12738394 -15.62568199 -151.47396021]\n", - " [ -86.90405671 -15.62568199 249.25058073 69.31843272]\n", - " [ -30.22973035 -151.47396021 69.31843272 807.51142812]]\n", - "Trace: 1118.606741960431\n", - "Determinant: 352265.93053194525\n", - "Condition number: 1157.5019448123237\n", - "Minimal eigen value: 0.731369368906729\n", - "Eigen values: [8.46561467e+02 2.69200418e+02 7.31369369e-01 2.11348733e+00]\n", - "Eigen vectors: [[ 0.05112181 -0.32491964 -0.76087976 0.55935299]\n", - " [ 0.18349975 0.01428386 0.58622697 0.78896245]\n", - " [-0.12523328 0.93598322 -0.25814533 0.2039927 ]\n", - " [-0.97366885 -0.13475387 0.10373479 0.15182048]]\n", - "This is the 120 run out of 162 run.\n", - "The code has run 159.9894 seconds.\n", - "Estimated remaining time: 55.9963 seconds\n", - "(4.0, 600.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 121 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.10005334 7.00415656 -85.51112338 -28.82462182]\n", - " [ 7.00415656 29.06295134 -14.8994589 -147.24385858]\n", - " [ -85.51112338 -14.8994589 246.34676968 66.2484418 ]\n", - " [ -28.82462182 -147.24385858 66.2484418 791.39773689]]\n", - "Trace: 1097.9075112415553\n", - "Determinant: 321261.1072732417\n", - "Condition number: 1206.2607176796919\n", - "Minimal eigen value: 0.6870415207970759\n", - "Eigen values: [8.28751198e+02 2.66350926e+02 6.87041521e-01 2.11834546e+00]\n", - "Eigen vectors: [[ 0.04997416 -0.32388984 -0.74853205 0.57645271]\n", - " [ 0.18211958 0.01362624 0.60381088 0.77592474]\n", - " [-0.12282242 0.93672065 -0.25260425 0.20895014]\n", - " [-0.97429446 -0.13215185 0.10631692 0.14826634]]\n", - "This is the 121 run out of 162 run.\n", - "The code has run 161.4355 seconds.\n", - "Estimated remaining time: 54.7013 seconds\n", - "(4.0, 600.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 122 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.10005334 7.00415656 -85.51112338 -28.82462182]\n", - " [ 7.00415656 29.06295134 -14.8994589 -147.24385858]\n", - " [ -85.51112338 -14.8994589 246.34676968 66.2484418 ]\n", - " [ -28.82462182 -147.24385858 66.2484418 791.39773689]]\n", - "Trace: 1097.9075112415553\n", - "Determinant: 321261.1072732417\n", - "Condition number: 1206.2607176796919\n", - "Minimal eigen value: 0.6870415207970759\n", - "Eigen values: [8.28751198e+02 2.66350926e+02 6.87041521e-01 2.11834546e+00]\n", - "Eigen vectors: [[ 0.04997416 -0.32388984 -0.74853205 0.57645271]\n", - " [ 0.18211958 0.01362624 0.60381088 0.77592474]\n", - " [-0.12282242 0.93672065 -0.25260425 0.20895014]\n", - " [-0.97429446 -0.13215185 0.10631692 0.14826634]]\n", - "This is the 122 run out of 162 run.\n", - "The code has run 162.8904 seconds.\n", - "Estimated remaining time: 53.4067 seconds\n", - "(4.0, 650.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 123 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.61904319 6.70066134 -84.52860483 -27.6103242 ]\n", - " [ 6.70066134 28.23501444 -14.27185511 -144.32300206]\n", - " [ -84.52860483 -14.27185511 244.48029255 63.92533729]\n", - " [ -27.6103242 -144.32300206 63.92533729 781.40832224]]\n", - "Trace: 1084.742672417322\n", - "Determinant: 287091.8887813455\n", - "Condition number: 1270.1548612113952\n", - "Minimal eigen value: 0.6435916597485087\n", - "Eigen values: [8.17461075e+02 2.64575506e+02 6.43591660e-01 2.06249924e+00]\n", - "Eigen vectors: [[ 0.04868907 -0.3230202 -0.73551595 0.59355169]\n", - " [ 0.18086605 0.01330593 0.62129568 0.76230054]\n", - " [-0.12045256 0.93739782 -0.24720548 0.21369594]\n", - " [-0.97488873 -0.12948445 0.10907526 0.14466629]]\n", - "This is the 123 run out of 162 run.\n", - "The code has run 164.3401 seconds.\n", - "Estimated remaining time: 52.1078 seconds\n", - "(4.0, 650.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 124 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.61904319 6.70066134 -84.52860483 -27.6103242 ]\n", - " [ 6.70066134 28.23501444 -14.27185511 -144.32300206]\n", - " [ -84.52860483 -14.27185511 244.48029255 63.92533729]\n", - " [ -27.6103242 -144.32300206 63.92533729 781.40832224]]\n", - "Trace: 1084.742672417322\n", - "Determinant: 287091.8887813455\n", - "Condition number: 1270.1548612113952\n", - "Minimal eigen value: 0.6435916597485087\n", - "Eigen values: [8.17461075e+02 2.64575506e+02 6.43591660e-01 2.06249924e+00]\n", - "Eigen vectors: [[ 0.04868907 -0.3230202 -0.73551595 0.59355169]\n", - " [ 0.18086605 0.01330593 0.62129568 0.76230054]\n", - " [-0.12045256 0.93739782 -0.24720548 0.21369594]\n", - " [-0.97488873 -0.12948445 0.10907526 0.14466629]]\n", - "This is the 124 run out of 162 run.\n", - "The code has run 165.8116 seconds.\n", - "Estimated remaining time: 50.8132 seconds\n", - "(4.0, 700.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 125 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.20764168 6.38536954 -83.77945916 -26.53899956]\n", - " [ 6.38536954 27.58709508 -13.71814607 -142.28482105]\n", - " [ -83.77945916 -13.71814607 243.19229482 62.12514983]\n", - " [ -26.53899956 -142.28482105 62.12514983 775.12800093]]\n", - "Trace: 1076.1150325176336\n", - "Determinant: 254255.2773071438\n", - "Condition number: 1330.7789521030636\n", - "Minimal eigen value: 0.608797184781677\n", - "Eigen values: [8.10174480e+02 2.63374511e+02 6.08797185e-01 1.95724431e+00]\n", - "Eigen vectors: [[ 0.04736083 -0.32223551 -0.724051 0.60800607]\n", - " [ 0.17980376 0.01327246 0.63595878 0.75036716]\n", - " [-0.11822723 0.93802249 -0.24264785 0.2173894 ]\n", - " [-0.97542293 -0.12689337 0.11148365 0.14149058]]\n", - "This is the 125 run out of 162 run.\n", - "The code has run 167.3933 seconds.\n", - "Estimated remaining time: 49.5484 seconds\n", - "(4.0, 700.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 126 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.20764168 6.38536954 -83.77945916 -26.53899956]\n", - " [ 6.38536954 27.58709508 -13.71814607 -142.28482105]\n", - " [ -83.77945916 -13.71814607 243.19229482 62.12514983]\n", - " [ -26.53899956 -142.28482105 62.12514983 775.12800093]]\n", - "Trace: 1076.1150325176336\n", - "Determinant: 254255.2773071438\n", - "Condition number: 1330.7789521030636\n", - "Minimal eigen value: 0.608797184781677\n", - "Eigen values: [8.10174480e+02 2.63374511e+02 6.08797185e-01 1.95724431e+00]\n", - "Eigen vectors: [[ 0.04736083 -0.32223551 -0.724051 0.60800607]\n", - " [ 0.17980376 0.01327246 0.63595878 0.75036716]\n", - " [-0.11822723 0.93802249 -0.24264785 0.2173894 ]\n", - " [-0.97542293 -0.12689337 0.11148365 0.14149058]]\n", - "This is the 126 run out of 162 run.\n", - "The code has run 168.8754 seconds.\n", - "Estimated remaining time: 48.2501 seconds\n", - "(4.5, 300.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 127 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 46.92629751 6.90338693 -138.62963954 -33.01752486]\n", - " [ 6.90338693 41.06895619 -17.06655062 -227.67404402]\n", - " [-138.62963954 -17.06655062 417.84730534 86.80549243]\n", - " [ -33.01752486 -227.67404402 86.80549243 1300.73494691]]\n", - "Trace: 1806.5775059519992\n", - "Determinant: 459604.7219933394\n", - "Condition number: 2702.7543876920536\n", - "Minimal eigen value: 0.4997565607094312\n", - "Eigen values: [1.35071924e+03 4.53858342e+02 4.99756561e-01 1.50017033e+00]\n", - "Eigen vectors: [[-0.03631039 0.31277851 -0.77902003 0.54219825]\n", - " [-0.17175452 -0.01378792 0.56437548 0.80733549]\n", - " [ 0.09967419 -0.94387759 -0.25567722 0.18381867]\n", - " [ 0.97941156 0.10523585 0.0961107 0.14297255]]\n", - "This is the 127 run out of 162 run.\n", - "The code has run 169.9940 seconds.\n", - "Estimated remaining time: 46.8487 seconds\n", - "(4.5, 300.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 128 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 46.92629751 6.90338693 -138.62963954 -33.01752486]\n", - " [ 6.90338693 41.06895619 -17.06655062 -227.67404402]\n", - " [-138.62963954 -17.06655062 417.84730534 86.80549243]\n", - " [ -33.01752486 -227.67404402 86.80549243 1300.73494691]]\n", - "Trace: 1806.5775059519992\n", - "Determinant: 459604.7219933394\n", - "Condition number: 2702.7543876920536\n", - "Minimal eigen value: 0.4997565607094312\n", - "Eigen values: [1.35071924e+03 4.53858342e+02 4.99756561e-01 1.50017033e+00]\n", - "Eigen vectors: [[-0.03631039 0.31277851 -0.77902003 0.54219825]\n", - " [-0.17175452 -0.01378792 0.56437548 0.80733549]\n", - " [ 0.09967419 -0.94387759 -0.25567722 0.18381867]\n", - " [ 0.97941156 0.10523585 0.0961107 0.14297255]]\n", - "This is the 128 run out of 162 run.\n", - "The code has run 171.1274 seconds.\n", - "Estimated remaining time: 45.4557 seconds\n", - "(4.5, 350.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 129 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 41.71632611 11.8524719 -116.57866267 -57.32295124]\n", - " [ 11.8524719 51.50216373 -29.62873093 -268.98746881]\n", - " [-116.57866267 -29.62873093 333.57636684 147.7549073 ]\n", - " [ -57.32295124 -268.98746881 147.7549073 1438.14215791]]\n", - "Trace: 1864.93701458946\n", - "Determinant: 425293.33387179556\n", - "Condition number: 2684.360803602728\n", - "Minimal eigen value: 0.5630645637492117\n", - "Eigen values: [1.51146844e+03 3.51483746e+02 5.63064564e-01 1.42175920e+00]\n", - "Eigen vectors: [[ 0.04986108 -0.3253461 -0.7734496 0.54170057]\n", - " [ 0.18236313 0.01979238 0.5662309 0.80357608]\n", - " [-0.13158898 0.9350533 -0.26583167 0.19414733]\n", - " [-0.9731094 -0.13940407 0.10242952 0.15209469]]\n", - "This is the 129 run out of 162 run.\n", - "The code has run 172.2557 seconds.\n", - "Estimated remaining time: 44.0654 seconds\n", - "(4.5, 350.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 130 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 41.71632611 11.8524719 -116.57866267 -57.32295124]\n", - " [ 11.8524719 51.50216373 -29.62873093 -268.98746881]\n", - " [-116.57866267 -29.62873093 333.57636684 147.7549073 ]\n", - " [ -57.32295124 -268.98746881 147.7549073 1438.14215791]]\n", - "Trace: 1864.93701458946\n", - "Determinant: 425293.33387179556\n", - "Condition number: 2684.360803602728\n", - "Minimal eigen value: 0.5630645637492117\n", - "Eigen values: [1.51146844e+03 3.51483746e+02 5.63064564e-01 1.42175920e+00]\n", - "Eigen vectors: [[ 0.04986108 -0.3253461 -0.7734496 0.54170057]\n", - " [ 0.18236313 0.01979238 0.5662309 0.80357608]\n", - " [-0.13158898 0.9350533 -0.26583167 0.19414733]\n", - " [-0.9731094 -0.13940407 0.10242952 0.15209469]]\n", - "This is the 130 run out of 162 run.\n", - "The code has run 173.3884 seconds.\n", - "Estimated remaining time: 42.6802 seconds\n", - "(4.5, 400.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 131 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 38.00739612 10.84108997 -103.55045697 -48.58474746]\n", - " [ 10.84108997 43.89759997 -25.11239917 -218.36331941]\n", - " [-103.55045697 -25.11239917 291.47199138 116.19767124]\n", - " [ -48.58474746 -218.36331941 116.19767124 1125.23972746]]\n", - "Trace: 1498.6167149344094\n", - "Determinant: 469841.6247280835\n", - "Condition number: 1620.7512957765398\n", - "Minimal eigen value: 0.7323714028597419\n", - "Eigen values: [1.18699190e+03 3.09144162e+02 7.32371403e-01 1.74828128e+00]\n", - "Eigen vectors: [[ 0.05523448 -0.32901628 -0.78936724 0.51536085]\n", - " [ 0.18898188 0.01942047 0.54031673 0.81973564]\n", - " [-0.13764106 0.93258287 -0.27409578 0.19030404]\n", - " [-0.9707162 -0.14717445 0.0991398 0.16192912]]\n", - "This is the 131 run out of 162 run.\n", - "The code has run 174.6924 seconds.\n", - "Estimated remaining time: 41.3394 seconds\n", - "(4.5, 400.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 132 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 38.00739612 10.84108997 -103.55045697 -48.58474746]\n", - " [ 10.84108997 43.89759997 -25.11239917 -218.36331941]\n", - " [-103.55045697 -25.11239917 291.47199138 116.19767124]\n", - " [ -48.58474746 -218.36331941 116.19767124 1125.23972746]]\n", - "Trace: 1498.6167149344094\n", - "Determinant: 469841.6247280835\n", - "Condition number: 1620.7512957765398\n", - "Minimal eigen value: 0.7323714028597419\n", - "Eigen values: [1.18699190e+03 3.09144162e+02 7.32371403e-01 1.74828128e+00]\n", - "Eigen vectors: [[ 0.05523448 -0.32901628 -0.78936724 0.51536085]\n", - " [ 0.18898188 0.01942047 0.54031673 0.81973564]\n", - " [-0.13764106 0.93258287 -0.27409578 0.19030404]\n", - " [-0.9707162 -0.14717445 0.0991398 0.16192912]]\n", - "This is the 132 run out of 162 run.\n", - "The code has run 176.0935 seconds.\n", - "Estimated remaining time: 40.0213 seconds\n", - "(4.5, 450.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 133 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 35.39211234 9.22308995 -95.69063657 -39.3487156 ]\n", - " [ 9.22308995 36.80267948 -20.33878885 -181.038465 ]\n", - " [ -95.69063657 -20.33878885 269.4670378 90.6183572 ]\n", - " [ -39.3487156 -181.038465 90.6183572 935.35577706]]\n", - "Trace: 1277.017606694349\n", - "Determinant: 478375.47935399483\n", - "Condition number: 1199.9989788371267\n", - "Minimal eigen value: 0.8212252566049608\n", - "Eigen values: [9.85469469e+02 2.88679300e+02 8.21225257e-01 2.04761261e+00]\n", - "Eigen vectors: [[ 0.05571542 -0.32911178 -0.7844296 0.52273457]\n", - " [ 0.18875266 0.01745765 0.54869009 0.81425232]\n", - " [-0.13569991 0.93279596 -0.27146248 0.19438454]\n", - " [-0.97100657 -0.14585045 0.09958669 0.16110983]]\n", - "This is the 133 run out of 162 run.\n", - "The code has run 177.4564 seconds.\n", - "Estimated remaining time: 38.6935 seconds\n", - "(4.5, 450.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 134 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 35.39211234 9.22308995 -95.69063657 -39.3487156 ]\n", - " [ 9.22308995 36.80267948 -20.33878885 -181.038465 ]\n", - " [ -95.69063657 -20.33878885 269.4670378 90.6183572 ]\n", - " [ -39.3487156 -181.038465 90.6183572 935.35577706]]\n", - "Trace: 1277.017606694349\n", - "Determinant: 478375.47935399483\n", - "Condition number: 1199.9989788371267\n", - "Minimal eigen value: 0.8212252566049608\n", - "Eigen values: [9.85469469e+02 2.88679300e+02 8.21225257e-01 2.04761261e+00]\n", - "Eigen vectors: [[ 0.05571542 -0.32911178 -0.7844296 0.52273457]\n", - " [ 0.18875266 0.01745765 0.54869009 0.81425232]\n", - " [-0.13569991 0.93279596 -0.27146248 0.19438454]\n", - " [-0.97100657 -0.14585045 0.09958669 0.16110983]]\n", - "This is the 134 run out of 162 run.\n", - "The code has run 178.8289 seconds.\n", - "Estimated remaining time: 37.3672 seconds\n", - "(4.5, 500.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 135 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 33.66002761 8.30594564 -91.05499891 -34.49662194]\n", - " [ 8.30594564 33.14116228 -17.83100411 -163.60574544]\n", - " [ -91.05499891 -17.83100411 257.89462145 78.35602391]\n", - " [ -34.49662194 -163.60574544 78.35602391 855.44802828]]\n", - "Trace: 1180.143839623319\n", - "Determinant: 459277.25895758584\n", - "Condition number: 1081.8197040357716\n", - "Minimal eigen value: 0.8314050126325663\n", - "Eigen values: [8.99430325e+02 2.77670210e+02 8.31405013e-01 2.21190000e+00]\n", - "Eigen vectors: [[ 0.05436601 -0.32790709 -0.77158474 0.54238203]\n", - " [ 0.18680442 0.01563656 0.56923733 0.80051762]\n", - " [-0.13162916 0.93387659 -0.26494772 0.20087555]\n", - " [-0.97201966 -0.14179899 0.10212027 0.15697861]]\n", - "This is the 135 run out of 162 run.\n", - "The code has run 180.2023 seconds.\n", - "Estimated remaining time: 36.0405 seconds\n", - "(4.5, 500.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 136 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 33.66002761 8.30594564 -91.05499891 -34.49662194]\n", - " [ 8.30594564 33.14116228 -17.83100411 -163.60574544]\n", - " [ -91.05499891 -17.83100411 257.89462145 78.35602391]\n", - " [ -34.49662194 -163.60574544 78.35602391 855.44802828]]\n", - "Trace: 1180.143839623319\n", - "Determinant: 459277.25895758584\n", - "Condition number: 1081.8197040357716\n", - "Minimal eigen value: 0.8314050126325663\n", - "Eigen values: [8.99430325e+02 2.77670210e+02 8.31405013e-01 2.21190000e+00]\n", - "Eigen vectors: [[ 0.05436601 -0.32790709 -0.77158474 0.54238203]\n", - " [ 0.18680442 0.01563656 0.56923733 0.80051762]\n", - " [-0.13162916 0.93387659 -0.26494772 0.20087555]\n", - " [-0.97201966 -0.14179899 0.10212027 0.15697861]]\n", - "This is the 136 run out of 162 run.\n", - "The code has run 181.5752 seconds.\n", - "Estimated remaining time: 34.7129 seconds\n", - "(4.5, 550.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 137 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.52442966 7.79952394 -88.27662362 -31.87818718]\n", - " [ 7.79952394 31.11498652 -16.47767841 -154.72362552]\n", - " [ -88.27662362 -16.47767841 251.58484594 72.12189285]\n", - " [ -31.87818718 -154.72362552 72.12189285 818.20431707]]\n", - "Trace: 1133.428579183614\n", - "Determinant: 424625.5063295614\n", - "Condition number: 1080.5771231432936\n", - "Minimal eigen value: 0.7948118154343831\n", - "Eigen values: [8.58855465e+02 2.71487052e+02 7.94811815e-01 2.29125042e+00]\n", - "Eigen vectors: [[ 0.05298068 -0.32645825 -0.75839465 0.56165435]\n", - " [ 0.18491122 0.01434479 0.589166 0.78643849]\n", - " [-0.12826537 0.93492766 -0.25836135 0.20665836]\n", - " [-0.97290744 -0.13830947 0.10473962 0.15281106]]\n", - "This is the 137 run out of 162 run.\n", - "The code has run 182.9922 seconds.\n", - "Estimated remaining time: 33.3927 seconds\n", - "(4.5, 550.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 138 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.52442966 7.79952394 -88.27662362 -31.87818718]\n", - " [ 7.79952394 31.11498652 -16.47767841 -154.72362552]\n", - " [ -88.27662362 -16.47767841 251.58484594 72.12189285]\n", - " [ -31.87818718 -154.72362552 72.12189285 818.20431707]]\n", - "Trace: 1133.428579183614\n", - "Determinant: 424625.5063295614\n", - "Condition number: 1080.5771231432936\n", - "Minimal eigen value: 0.7948118154343831\n", - "Eigen values: [8.58855465e+02 2.71487052e+02 7.94811815e-01 2.29125042e+00]\n", - "Eigen vectors: [[ 0.05298068 -0.32645825 -0.75839465 0.56165435]\n", - " [ 0.18491122 0.01434479 0.589166 0.78643849]\n", - " [-0.12826537 0.93492766 -0.25836135 0.20665836]\n", - " [-0.97290744 -0.13830947 0.10473962 0.15281106]]\n", - "This is the 138 run out of 162 run.\n", - "The code has run 184.4046 seconds.\n", - "Estimated remaining time: 32.0704 seconds\n", - "(4.5, 600.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 139 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.74316474 7.42694102 -86.51369237 -30.09984737]\n", - " [ 7.42694102 29.7678141 -15.55855266 -149.36990345]\n", - " [ -86.51369237 -15.55855266 247.90970974 68.2364363 ]\n", - " [ -30.09984737 -149.36990345 68.2364363 797.81042745]]\n", - "Trace: 1107.231116021695\n", - "Determinant: 381369.94743284467\n", - "Condition number: 1131.228760170931\n", - "Minimal eigen value: 0.7392823596420406\n", - "Eigen values: [8.36297467e+02 2.67891780e+02 7.39282360e-01 2.30258650e+00]\n", - "Eigen vectors: [[ 0.05159752 -0.32519357 -0.74430518 0.58103066]\n", - " [ 0.18321977 0.01350159 0.60908704 0.77153172]\n", - " [-0.12535113 0.93583947 -0.25188368 0.21224088]\n", - " [-0.97368132 -0.1351715 0.10759823 0.14864717]]\n", - "This is the 139 run out of 162 run.\n", - "The code has run 185.9559 seconds.\n", - "Estimated remaining time: 30.7697 seconds\n", - "(4.5, 600.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 140 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.74316474 7.42694102 -86.51369237 -30.09984737]\n", - " [ 7.42694102 29.7678141 -15.55855266 -149.36990345]\n", - " [ -86.51369237 -15.55855266 247.90970974 68.2364363 ]\n", - " [ -30.09984737 -149.36990345 68.2364363 797.81042745]]\n", - "Trace: 1107.231116021695\n", - "Determinant: 381369.94743284467\n", - "Condition number: 1131.228760170931\n", - "Minimal eigen value: 0.7392823596420406\n", - "Eigen values: [8.36297467e+02 2.67891780e+02 7.39282360e-01 2.30258650e+00]\n", - "Eigen vectors: [[ 0.05159752 -0.32519357 -0.74430518 0.58103066]\n", - " [ 0.18321977 0.01350159 0.60908704 0.77153172]\n", - " [-0.12535113 0.93583947 -0.25188368 0.21224088]\n", - " [-0.97368132 -0.1351715 0.10759823 0.14864717]]\n", - "This is the 140 run out of 162 run.\n", - "The code has run 187.4372 seconds.\n", - "Estimated remaining time: 29.4544 seconds\n", - "(4.5, 650.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 141 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 31.13438628 7.04282989 -85.27019232 -28.5630018 ]\n", - " [ 7.04282989 28.71995645 -14.7642416 -145.67319431]\n", - " [ -85.27019232 -14.7642416 245.54744961 65.29625692]\n", - " [ -28.5630018 -145.67319431 65.29625692 785.16757397]]\n", - "Trace: 1090.569366309676\n", - "Determinant: 334072.2908212103\n", - "Condition number: 1201.6870700885588\n", - "Minimal eigen value: 0.6840342314306751\n", - "Eigen values: [8.21995091e+02 2.65653696e+02 6.84034231e-01 2.23654444e+00]\n", - "Eigen vectors: [[ 0.05001058 -0.32412002 -0.72914289 0.6006628 ]\n", - " [ 0.18166178 0.01308144 0.62914363 0.7556495 ]\n", - " [-0.12242742 0.93668688 -0.24550229 0.21761858]\n", - " [-0.97442776 -0.1318817 0.1107139 0.14436129]]\n", - "This is the 141 run out of 162 run.\n", - "The code has run 188.9469 seconds.\n", - "Estimated remaining time: 28.1410 seconds\n", - "(4.5, 650.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 142 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.13438628 7.04282989 -85.27019232 -28.5630018 ]\n", - " [ 7.04282989 28.71995645 -14.7642416 -145.67319431]\n", - " [ -85.27019232 -14.7642416 245.54744961 65.29625692]\n", - " [ -28.5630018 -145.67319431 65.29625692 785.16757397]]\n", - "Trace: 1090.569366309676\n", - "Determinant: 334072.2908212103\n", - "Condition number: 1201.6870700885588\n", - "Minimal eigen value: 0.6840342314306751\n", - "Eigen values: [8.21995091e+02 2.65653696e+02 6.84034231e-01 2.23654444e+00]\n", - "Eigen vectors: [[ 0.05001058 -0.32412002 -0.72914289 0.6006628 ]\n", - " [ 0.18166178 0.01308144 0.62914363 0.7556495 ]\n", - " [-0.12242742 0.93668688 -0.24550229 0.21761858]\n", - " [-0.97442776 -0.1318817 0.1107139 0.14436129]]\n", - "This is the 142 run out of 162 run.\n", - "The code has run 190.4075 seconds.\n", - "Estimated remaining time: 26.8180 seconds\n", - "(4.5, 700.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 143 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.61370624 6.64378871 -84.32205484 -27.20710656]\n", - " [ 6.64378871 27.89993353 -14.0634536 -143.09362149]\n", - " [ -84.32205484 -14.0634536 243.91732749 63.01789467]\n", - " [ -27.20710656 -143.09362149 63.01789467 777.21904233]]\n", - "Trace: 1079.6500095886515\n", - "Determinant: 289208.71561637335\n", - "Condition number: 1271.2648772423802\n", - "Minimal eigen value: 0.6393346215801524\n", - "Eigen values: [8.12763649e+02 2.64139927e+02 6.39334622e-01 2.10709845e+00]\n", - "Eigen vectors: [[ 0.04834993 -0.32314612 -0.71522959 0.61780702]\n", - " [ 0.1803307 0.01302644 0.64651616 0.74116665]\n", - " [-0.11964922 0.93747381 -0.23994152 0.22193464]\n", - " [-0.97510368 -0.12864585 0.11354098 0.14046888]]\n", - "This is the 143 run out of 162 run.\n", - "The code has run 191.9711 seconds.\n", - "Estimated remaining time: 25.5067 seconds\n", - "(4.5, 700.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 144 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.61370624 6.64378871 -84.32205484 -27.20710656]\n", - " [ 6.64378871 27.89993353 -14.0634536 -143.09362149]\n", - " [ -84.32205484 -14.0634536 243.91732749 63.01789467]\n", - " [ -27.20710656 -143.09362149 63.01789467 777.21904233]]\n", - "Trace: 1079.6500095886515\n", - "Determinant: 289208.71561637335\n", - "Condition number: 1271.2648772423802\n", - "Minimal eigen value: 0.6393346215801524\n", - "Eigen values: [8.12763649e+02 2.64139927e+02 6.39334622e-01 2.10709845e+00]\n", - "Eigen vectors: [[ 0.04834993 -0.32314612 -0.71522959 0.61780702]\n", - " [ 0.1803307 0.01302644 0.64651616 0.74116665]\n", - " [-0.11964922 0.93747381 -0.23994152 0.22193464]\n", - " [-0.97510368 -0.12864585 0.11354098 0.14046888]]\n", - "This is the 144 run out of 162 run.\n", - "The code has run 193.5839 seconds.\n", - "Estimated remaining time: 24.1980 seconds\n", - "(5.0, 300.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 145 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", - " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", - " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", - " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", - "Trace: 1981.0422198461438\n", - "Determinant: 561207.9662178434\n", - "Condition number: 2950.219453820002\n", - "Minimal eigen value: 0.5016011129279737\n", - "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", - "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", - " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", - " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", - " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", - "This is the 145 run out of 162 run.\n", - "The code has run 194.7723 seconds.\n", - "Estimated remaining time: 22.8354 seconds\n", - "(5.0, 300.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 146 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", - " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", - " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", - " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", - "Trace: 1981.0422198461438\n", - "Determinant: 561207.9662178434\n", - "Condition number: 2950.219453820002\n", - "Minimal eigen value: 0.5016011129279737\n", - "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", - "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", - " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", - " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", - " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", - "This is the 146 run out of 162 run.\n", - "The code has run 196.0682 seconds.\n", - "Estimated remaining time: 21.4869 seconds\n", - "(5.0, 350.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 147 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 44.77448121 13.36308321 -124.75145794 -65.13386954]\n", - " [ 13.36308321 57.3881323 -33.66577731 -299.42207777]\n", - " [-124.75145794 -33.66577731 355.41783016 168.62926416]\n", - " [ -65.13386954 -299.42207777 168.62926416 1595.51055227]]\n", - "Trace: 2053.0909959474125\n", - "Determinant: 513228.2976445542\n", - "Condition number: 2917.190381044787\n", - "Minimal eigen value: 0.5753167063296618\n", - "Eigen values: [1.67830836e+03 3.72781455e+02 5.75316706e-01 1.42586218e+00]\n", - "Eigen vectors: [[-0.05047007 0.32648857 -0.77233623 0.54254469]\n", - " [-0.18287382 -0.02050882 0.56719727 0.80276012]\n", - " [ 0.13340808 -0.93436539 -0.26673157 0.1949817 ]\n", - " [ 0.9727344 0.14122999 0.10314205 0.15232724]]\n", - "This is the 147 run out of 162 run.\n", - "The code has run 197.2717 seconds.\n", - "Estimated remaining time: 20.1298 seconds\n", - "(5.0, 350.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 148 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 44.77448121 13.36308321 -124.75145794 -65.13386954]\n", - " [ 13.36308321 57.3881323 -33.66577731 -299.42207777]\n", - " [-124.75145794 -33.66577731 355.41783016 168.62926416]\n", - " [ -65.13386954 -299.42207777 168.62926416 1595.51055227]]\n", - "Trace: 2053.0909959474125\n", - "Determinant: 513228.2976445542\n", - "Condition number: 2917.190381044787\n", - "Minimal eigen value: 0.5753167063296618\n", - "Eigen values: [1.67830836e+03 3.72781455e+02 5.75316706e-01 1.42586218e+00]\n", - "Eigen vectors: [[-0.05047007 0.32648857 -0.77233623 0.54254469]\n", - " [-0.18287382 -0.02050882 0.56719727 0.80276012]\n", - " [ 0.13340808 -0.93436539 -0.26673157 0.1949817 ]\n", - " [ 0.9727344 0.14122999 0.10314205 0.15232724]]\n", - "This is the 148 run out of 162 run.\n", - "The code has run 198.4624 seconds.\n", - "Estimated remaining time: 18.7735 seconds\n", - "(5.0, 400.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 149 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 40.19555527 12.11446351 -108.66725425 -54.3459603 ]\n", - " [ 12.11446351 47.99978202 -28.09006195 -236.92312113]\n", - " [-108.66725425 -28.09006195 303.43712402 129.66971892]\n", - " [ -54.3459603 -236.92312113 129.66971892 1209.21119331]]\n", - "Trace: 1600.843654620789\n", - "Determinant: 574493.5923426447\n", - "Condition number: 1641.1009368547748\n", - "Minimal eigen value: 0.7786241106559912\n", - "Eigen values: [1.27780076e+03 3.20462430e+02 7.78624111e-01 1.80184355e+00]\n", - "Eigen vectors: [[ 0.0568252 -0.33099073 -0.78928624 0.51404598]\n", - " [ 0.19061862 0.02031409 0.53926995 0.82002427]\n", - " [-0.1409001 0.93130083 -0.27612117 0.1912669 ]\n", - " [-0.96983638 -0.15070249 0.09986122 0.16350503]]\n", - "This is the 149 run out of 162 run.\n", - "The code has run 199.8429 seconds.\n", - "Estimated remaining time: 17.4360 seconds\n", - "(5.0, 400.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 150 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 40.19555527 12.11446351 -108.66725425 -54.3459603 ]\n", - " [ 12.11446351 47.99978202 -28.09006195 -236.92312113]\n", - " [-108.66725425 -28.09006195 303.43712402 129.66971892]\n", - " [ -54.3459603 -236.92312113 129.66971892 1209.21119331]]\n", - "Trace: 1600.843654620789\n", - "Determinant: 574493.5923426447\n", - "Condition number: 1641.1009368547748\n", - "Minimal eigen value: 0.7786241106559912\n", - "Eigen values: [1.27780076e+03 3.20462430e+02 7.78624111e-01 1.80184355e+00]\n", - "Eigen vectors: [[ 0.0568252 -0.33099073 -0.78928624 0.51404598]\n", - " [ 0.19061862 0.02031409 0.53926995 0.82002427]\n", - " [-0.1409001 0.93130083 -0.27612117 0.1912669 ]\n", - " [-0.96983638 -0.15070249 0.09986122 0.16350503]]\n", - "This is the 150 run out of 162 run.\n", - "The code has run 201.2696 seconds.\n", - "Estimated remaining time: 16.1016 seconds\n", - "(5.0, 450.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 151 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.96680994 10.1169327 -98.96377145 -42.94345541]\n", - " [ 10.1169327 39.24062076 -22.19671301 -190.84306041]\n", - " [ -98.96377145 -22.19671301 276.27051038 98.09031344]\n", - " [ -42.94345541 -190.84306041 98.09031344 974.78662483]]\n", - "Trace: 1327.2645659113318\n", - "Determinant: 586703.6867346049\n", - "Condition number: 1154.5643300518498\n", - "Minimal eigen value: 0.8912447563558519\n", - "Eigen values: [1.02899941e+03 2.95206809e+02 8.91244756e-01 2.16710690e+00]\n", - "Eigen vectors: [[ 0.0578611 -0.33121289 -0.78442655 0.52117666]\n", - " [ 0.19074339 0.01817303 0.54757119 0.81452593]\n", - " [-0.13962694 0.93133834 -0.27347645 0.19576479]\n", - " [-0.96993472 -0.15025534 0.10025673 0.16309062]]\n", - "This is the 151 run out of 162 run.\n", - "The code has run 202.7167 seconds.\n", - "Estimated remaining time: 14.7674 seconds\n", - "(5.0, 450.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 152 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.96680994 10.1169327 -98.96377145 -42.94345541]\n", - " [ 10.1169327 39.24062076 -22.19671301 -190.84306041]\n", - " [ -98.96377145 -22.19671301 276.27051038 98.09031344]\n", - " [ -42.94345541 -190.84306041 98.09031344 974.78662483]]\n", - "Trace: 1327.2645659113318\n", - "Determinant: 586703.6867346049\n", - "Condition number: 1154.5643300518498\n", - "Minimal eigen value: 0.8912447563558519\n", - "Eigen values: [1.02899941e+03 2.95206809e+02 8.91244756e-01 2.16710690e+00]\n", - "Eigen vectors: [[ 0.0578611 -0.33121289 -0.78442655 0.52117666]\n", - " [ 0.19074339 0.01817303 0.54757119 0.81452593]\n", - " [-0.13962694 0.93133834 -0.27347645 0.19576479]\n", - " [-0.96993472 -0.15025534 0.10025673 0.16309062]]\n", - "This is the 152 run out of 162 run.\n", - "The code has run 204.1511 seconds.\n", - "Estimated remaining time: 13.4310 seconds\n", - "(5.0, 500.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 153 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.82843368 8.98465572 -93.24076194 -36.95321608]\n", - " [ 8.98465572 34.72022928 -19.10068248 -169.32118473]\n", - " [ -93.24076194 -19.10068248 261.98357659 82.95163035]\n", - " [ -36.95321608 -169.32118473 82.95163035 876.1350836 ]]\n", - "Trace: 1207.667323148074\n", - "Determinant: 560761.244544903\n", - "Condition number: 1016.6953838933143\n", - "Minimal eigen value: 0.9075873160350136\n", - "Eigen values: [9.22739835e+02 2.81642447e+02 9.07587316e-01 2.37745440e+00]\n", - "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", - " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", - " [-0.13533435 0.93253239 -0.26619814 0.20299388]\n", - " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", - "This is the 153 run out of 162 run.\n", - "The code has run 205.6370 seconds.\n", - "Estimated remaining time: 12.0963 seconds\n", - "(5.0, 500.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 154 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.82843368 8.98465572 -93.24076194 -36.95321608]\n", - " [ 8.98465572 34.72022928 -19.10068248 -169.32118473]\n", - " [ -93.24076194 -19.10068248 261.98357659 82.95163035]\n", - " [ -36.95321608 -169.32118473 82.95163035 876.1350836 ]]\n", - "Trace: 1207.667323148074\n", - "Determinant: 560761.244544903\n", - "Condition number: 1016.6953838933143\n", - "Minimal eigen value: 0.9075873160350136\n", - "Eigen values: [9.22739835e+02 2.81642447e+02 9.07587316e-01 2.37745440e+00]\n", - "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", - " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", - " [-0.13533435 0.93253239 -0.26619814 0.20299388]\n", - " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", - "This is the 154 run out of 162 run.\n", - "The code has run 207.0104 seconds.\n", - "Estimated remaining time: 10.7538 seconds\n", - "(5.0, 550.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 155 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 33.42646128 8.35944401 -89.81066931 -33.72058097]\n", - " [ 8.35944401 32.21877784 -17.42991033 -158.35560484]\n", - " [ -89.81066931 -17.42991033 254.19373028 75.25517256]\n", - " [ -33.72058097 -158.35560484 75.25517256 830.15519359]]\n", - "Trace: 1149.9941629861146\n", - "Determinant: 513459.05664163764\n", - "Condition number: 1009.1034533531276\n", - "Minimal eigen value: 0.8647458183914464\n", - "Eigen values: [8.72617992e+02 2.74028305e+02 8.64745818e-01 2.48312030e+00]\n", - "Eigen vectors: [[ 0.0549935 -0.32812852 -0.75602079 0.56368427]\n", - " [ 0.18644071 0.01443566 0.59187188 0.78404028]\n", - " [-0.13153067 0.93376588 -0.2587196 0.2093923 ]\n", - " [-0.97206752 -0.14214279 0.10575638 0.15393425]]\n", - "This is the 155 run out of 162 run.\n", - "The code has run 208.4038 seconds.\n", - "Estimated remaining time: 9.4118 seconds\n", - "(5.0, 550.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 156 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 33.42646128 8.35944401 -89.81066931 -33.72058097]\n", - " [ 8.35944401 32.21877784 -17.42991033 -158.35560484]\n", - " [ -89.81066931 -17.42991033 254.19373028 75.25517256]\n", - " [ -33.72058097 -158.35560484 75.25517256 830.15519359]]\n", - "Trace: 1149.9941629861146\n", - "Determinant: 513459.05664163764\n", - "Condition number: 1009.1034533531276\n", - "Minimal eigen value: 0.8647458183914464\n", - "Eigen values: [8.72617992e+02 2.74028305e+02 8.64745818e-01 2.48312030e+00]\n", - "Eigen vectors: [[ 0.0549935 -0.32812852 -0.75602079 0.56368427]\n", - " [ 0.18644071 0.01443566 0.59187188 0.78404028]\n", - " [-0.13153067 0.93376588 -0.2587196 0.2093923 ]\n", - " [-0.97206752 -0.14214279 0.10575638 0.15393425]]\n", - "This is the 156 run out of 162 run.\n", - "The code has run 209.8004 seconds.\n", - "Estimated remaining time: 8.0692 seconds\n", - "(5.0, 600.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 157 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.46193631 7.89946484 -87.6342104 -31.52509933]\n", - " [ 7.89946484 30.55560189 -16.29518665 -151.74607116]\n", - " [ -87.6342104 -16.29518665 249.65652434 70.45831169]\n", - " [ -31.52509933 -151.74607116 70.45831169 804.97755171]]\n", - "Trace: 1117.6516142451649\n", - "Determinant: 454517.04885885824\n", - "Condition number: 1059.7997094874358\n", - "Minimal eigen value: 0.7970814188484145\n", - "Eigen values: [8.44746656e+02 2.69604106e+02 7.97081419e-01 2.50377045e+00]\n", - "Eigen vectors: [[ 0.05337759 -0.32661762 -0.7403787 0.58507363]\n", - " [ 0.18442587 0.01338178 0.61386088 0.76745218]\n", - " [-0.12811295 0.93486205 -0.25133676 0.21552227]\n", - " [-0.97299795 -0.1384731 0.10883033 0.14918496]]\n", - "This is the 157 run out of 162 run.\n", - "The code has run 211.3078 seconds.\n", - "Estimated remaining time: 6.7295 seconds\n", - "(5.0, 600.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 158 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.46193631 7.89946484 -87.6342104 -31.52509933]\n", - " [ 7.89946484 30.55560189 -16.29518665 -151.74607116]\n", - " [ -87.6342104 -16.29518665 249.65652434 70.45831169]\n", - " [ -31.52509933 -151.74607116 70.45831169 804.97755171]]\n", - "Trace: 1117.6516142451649\n", - "Determinant: 454517.04885885824\n", - "Condition number: 1059.7997094874358\n", - "Minimal eigen value: 0.7970814188484145\n", - "Eigen values: [8.44746656e+02 2.69604106e+02 7.97081419e-01 2.50377045e+00]\n", - "Eigen vectors: [[ 0.05337759 -0.32661762 -0.7403787 0.58507363]\n", - " [ 0.18442587 0.01338178 0.61386088 0.76745218]\n", - " [-0.12811295 0.93486205 -0.25133676 0.21552227]\n", - " [-0.97299795 -0.1384731 0.10883033 0.14918496]]\n", - "This is the 158 run out of 162 run.\n", - "The code has run 212.7836 seconds.\n", - "Estimated remaining time: 5.3869 seconds\n", - "(5.0, 650.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 159 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.71035796 7.42525356 -86.0990254 -29.62775912]\n", - " [ 7.42525356 29.26195047 -15.31455591 -147.18223271]\n", - " [ -86.0990254 -15.31455591 246.74015456 66.82846121]\n", - " [ -29.62775912 -147.18223271 66.82846121 789.36909062]]\n", - "Trace: 1097.0815536086095\n", - "Determinant: 390533.5375384314\n", - "Condition number: 1134.9974877008417\n", - "Minimal eigen value: 0.7286990827395959\n", - "Eigen values: [8.27071628e+02 2.66852968e+02 7.28699083e-01 2.42825870e+00]\n", - "Eigen vectors: [[ 0.05147169 -0.32532815 -0.7232187 0.6070148 ]\n", - " [ 0.18254089 0.01284389 0.63625522 0.74946191]\n", - " [-0.12460497 0.93589476 -0.24399628 0.22145072]\n", - " [-0.97391123 -0.13452744 0.11224889 0.14422019]]\n", - "This is the 159 run out of 162 run.\n", - "The code has run 214.2833 seconds.\n", - "Estimated remaining time: 4.0431 seconds\n", - "(5.0, 650.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 160 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.71035796 7.42525356 -86.0990254 -29.62775912]\n", - " [ 7.42525356 29.26195047 -15.31455591 -147.18223271]\n", - " [ -86.0990254 -15.31455591 246.74015456 66.82846121]\n", - " [ -29.62775912 -147.18223271 66.82846121 789.36909062]]\n", - "Trace: 1097.0815536086095\n", - "Determinant: 390533.5375384314\n", - "Condition number: 1134.9974877008417\n", - "Minimal eigen value: 0.7286990827395959\n", - "Eigen values: [8.27071628e+02 2.66852968e+02 7.28699083e-01 2.42825870e+00]\n", - "Eigen vectors: [[ 0.05147169 -0.32532815 -0.7232187 0.6070148 ]\n", - " [ 0.18254089 0.01284389 0.63625522 0.74946191]\n", - " [-0.12460497 0.93589476 -0.24399628 0.22145072]\n", - " [-0.97391123 -0.13452744 0.11224889 0.14422019]]\n", - "This is the 160 run out of 162 run.\n", - "The code has run 215.8663 seconds.\n", - "Estimated remaining time: 2.6983 seconds\n", - "(5.0, 700.0, 300)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 161 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", - " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", - " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", - " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", - "Trace: 1083.6008663096845\n", - "Determinant: 330586.4905784959\n", - "Condition number: 1212.388775069196\n", - "Minimal eigen value: 0.6727727401066618\n", - "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", - "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", - " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", - " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", - " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", - "This is the 161 run out of 162 run.\n", - "The code has run 217.3896 seconds.\n", - "Estimated remaining time: 1.3502 seconds\n", - "(5.0, 700.0, 500)\n", - "0\n", - "[0]\n", - "1\n", - "[0]\n", - "2\n", - "[0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", - "=======This is the 162 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", - " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", - " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", - " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", - "Trace: 1083.6008663096845\n", - "Determinant: 330586.4905784959\n", - "Condition number: 1212.388775069196\n", - "Minimal eigen value: 0.6727727401066618\n", - "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", - "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", - " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", - " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", - " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", - "This is the 162 run out of 162 run.\n", - "The code has run 218.9364 seconds.\n", - "Estimated remaining time: 0.0000 seconds\n", - "The whole run takes 218.93642497062683 s.\n" + "[, , , , , , , ]\n" ] } ], + "source": [ + "print(all_fim.FIM_result_list)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "76003ddb", + "metadata": {}, + "outputs": [], + "source": [ + "heatmap = Grid_Search_Result(design_ranges, all_fim, store_optimality_name='test_heatmap.csv')\n", + "\n", + "heatmap.heatmap('Reactor case', '$C_{A0}$ [M]', 'T [K]')" + ] + }, + { + "cell_type": "markdown", + "id": "07db5505", + "metadata": {}, + "source": [ + "### 1D heatmap" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8fe67426", + "metadata": {}, + "outputs": [], + "source": [ + "#design_ranges = {'CA0':list(np.linspace(1,5,9)), 'T': list(np.linspace(300,700,9))}\n", + "design_ranges = [ list(np.linspace(300,700,5))]\n", + "\n", + "dv_apply_name = ['T']\n", + "dv_apply_time = [t_control]\n", + "\n", + "# Define experiments\n", + "if (model_opt=='dynamic-DAE'):\n", + " exp1 = generate_exp(t_control, 5, [570.21, 300, 300, 300, 300, 300, 300, 300, 300])\n", + "else: \n", + " exp1 = generate_exp(t_control, 5, [500])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "47d748d5", + "metadata": {}, + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -5083,23 +808,10 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "76003ddb", + "execution_count": null, + "id": "a4a2179b", "metadata": {}, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "'list' object has no attribute 'keys'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_36780/85711696.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mheatmap\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGrid_Search_Result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdesign_ranges\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mall_fim\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstore_optimality_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'test_heatmap.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mheatmap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheatmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Reactor case'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'$C_{A0}$ [M]'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'T [K]'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/pyomo/pyomo/contrib/doe/DoE_package.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, dv_ranges, FIM_result_list, store_optimality_name, verbose)\u001b[0m\n\u001b[1;32m 1603\u001b[0m '''\n\u001b[1;32m 1604\u001b[0m \u001b[0;31m# design variables\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1605\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdv_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdv_ranges\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1606\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdv_ranges\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdv_ranges\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1607\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFIM_result_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mFIM_result_list\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'keys'" - ] - } - ], + "outputs": [], "source": [ "heatmap = Grid_Search_Result(design_ranges, all_fim, store_optimality_name='test_heatmap.csv')\n", "\n", @@ -5109,7 +821,7 @@ { "cell_type": "code", "execution_count": null, - "id": "85e0c7c7", + "id": "c1843ce2", "metadata": {}, "outputs": [], "source": [] From b5a2de0b68f949df5e8f6d274fb8e8f99043b77d Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Fri, 6 Aug 2021 22:53:43 -0400 Subject: [PATCH 07/42] added k_aug as a solver for calculating perturbed model output. Next step is using get_dsdp() --- pyomo/contrib/doe/DoE_package.py | 25 +- pyomo/contrib/doe/reactor_control_doe.ipynb | 1274 +++++++++++++++---- 2 files changed, 1078 insertions(+), 221 deletions(-) diff --git a/pyomo/contrib/doe/DoE_package.py b/pyomo/contrib/doe/DoE_package.py index a1fd1647f4c..a2d50ef4ea6 100644 --- a/pyomo/contrib/doe/DoE_package.py +++ b/pyomo/contrib/doe/DoE_package.py @@ -362,7 +362,10 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No mod = self.discretize_model(mod) # fix model DOF - mod = self.__fix_design(mod, self.design_values, fix_opt=True) + if self.mode =='sequential_sipopt': + mod = self.__fix_design(mod, self.design_values, fix_opt=True) + + mod.obj = Objective(rule=0.0, sense=minimize) # extract (discretized) time time_set = [] @@ -372,6 +375,11 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # add sIPOPT perturbation parameters mod = self.__add_parameter(mod, perturb=pa) + if self.mode == 'sequential_kaug': + self.__solve_doe(mod, fix=True) + + + # parameter name lists for sipopt list_original = [] list_perturb = [] @@ -400,15 +408,25 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No else: # if it is not fixed, record its perturbed value - perturb_value = eval('m_sipopt.sens_sol_state_1[m_sipopt.' + j + '[0,' + str(t) + ']]') + if self.mode =='sequential_sipopt': + perturb_value = eval('m_sipopt.sens_sol_state_1[m_sipopt.' + j + '[0,' + str(t) + ']]') + else: + perturb_value = eval('m_sipopt.' + j + '[0,' + str(t) + ']()') perturb_mea.append(perturb_value) # base case values - base_value = eval('m_sipopt.'+j+'[0,' + str(t) + '].value') + if self.mode =='sequential_sipopt': + base_value = eval('m_sipopt.'+j+'[0,' + str(t) + '].value') + else: + base_value = value(eval('mod.' + j + '[0,' + str(t) + ']')) + base_mea.append(base_value) + # store extracted measurements all_perturb_measure.append(perturb_mea) all_base_measure.append(base_mea) + print(all_perturb_measure) + print(all_base_measure) # After collecting outputs from all scenarios, calculate sensitivity @@ -1671,6 +1689,7 @@ def curve1D(self, sensitivity_ranges): return None def heatmap3D(self): + return None def heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True): ''' diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 7f8a1bfabe6..3f950d5001f 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -245,16 +245,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "d3ee5ff9", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Design variable: {'CA0': {0: 5}, 'T': {0: 500}}\n" + ] + } + ], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", "#sensi_opt = 'sequential_finite'\n", - "sensi_opt = 'sequential_sipopt'\n", - "#sensi_opt = 'sequential_kaug'\n", + "#sensi_opt = 'sequential_sipopt'\n", + "sensi_opt = 'sequential_kaug'\n", "\n", "# Define experiments\n", "if (model_opt=='dynamic-DAE'):\n", @@ -267,12 +275,1022 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "latin-medicare", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 83.94294994963053\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.32e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", + " 6r 0.0000000e+00 6.27e+01 4.14e+04 2.1 1.36e+04 - 5.51e-03 1.68e-03f 1\n", + " 7r 0.0000000e+00 3.77e+01 3.84e+04 2.1 8.47e+03 - 2.59e-02 2.98e-03f 1\n", + " 8r 0.0000000e+00 1.23e+01 3.04e+04 2.1 2.04e+03 - 7.70e-02 1.58e-02f 1\n", + " 9r 0.0000000e+00 6.95e+00 2.51e+04 2.1 1.58e+02 - 7.89e-02 3.61e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.36e+00 1.91e+04 2.1 1.29e+02 - 8.70e-02 3.81e-02f 1\n", + " 11r 0.0000000e+00 4.07e+00 1.30e+04 2.1 1.12e+02 - 1.61e-01 7.19e-02f 1\n", + " 12r 0.0000000e+00 2.88e+00 1.26e+04 2.1 8.59e+01 - 2.27e-01 1.45e-01f 1\n", + " 13r 0.0000000e+00 2.43e+00 9.79e+03 2.1 4.45e+01 - 4.32e-01 1.93e-01f 1\n", + " 14r 0.0000000e+00 9.18e-01 5.66e+03 2.1 2.89e+01 - 7.42e-01 3.43e-01f 1\n", + " 15r 0.0000000e+00 2.48e-01 1.40e+03 1.4 3.34e+00 - 1.00e+00 6.63e-01f 1\n", + " 16r 0.0000000e+00 1.75e-01 7.36e+02 0.7 2.72e+00 - 1.00e+00 5.59e-01f 1\n", + " 17r 0.0000000e+00 7.10e-02 3.14e+02 0.7 5.50e+00 - 8.75e-01 7.53e-01f 1\n", + " 18r 0.0000000e+00 5.51e-02 1.72e+00 0.7 1.08e+00 - 1.00e+00 1.00e+00f 1\n", + " 19r 0.0000000e+00 5.39e-02 6.00e+02 -1.4 9.36e-01 - 9.96e-01 6.76e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.79e-02 2.20e+03 -1.4 3.28e+01 - 7.77e-01 1.01e-01f 1\n", + " 21r 0.0000000e+00 2.41e-02 2.69e+03 -1.4 2.22e+01 - 1.00e+00 1.65e-01f 1\n", + " 22r 0.0000000e+00 4.56e-03 1.92e+03 -1.4 1.58e+01 - 1.00e+00 3.64e-01f 1\n", + " 23r 0.0000000e+00 2.64e-03 1.94e+03 -1.4 3.17e+00 - 1.00e+00 1.33e-01f 1\n", + " 24r 0.0000000e+00 5.11e-04 5.21e+02 -1.4 8.72e-01 - 1.00e+00 7.74e-01f 1\n", + " 25r 0.0000000e+00 6.08e-05 8.04e-01 -1.4 1.96e-01 - 1.00e+00 1.00e+00f 1\n", + " 26r 0.0000000e+00 1.97e-05 5.12e+01 -2.1 1.91e-02 - 1.00e+00 9.90e-01f 1\n", + " 27r 0.0000000e+00 1.44e-06 1.24e-05 -2.1 4.83e-03 - 1.00e+00 1.00e+00f 1\n", + " 28r 0.0000000e+00 5.59e-07 2.23e+01 -4.8 6.16e-04 - 1.00e+00 9.66e-01f 1\n", + " 29r 0.0000000e+00 8.87e-08 3.70e+01 -4.8 5.48e-05 - 1.00e+00 8.41e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.38e-10 1.82e-09 -4.8 3.23e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.3815883426768778e-10 3.3815883426768778e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.3815883426768778e-10 3.3815883426768778e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 37\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 37\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 32\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.031\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3371\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 677\n", + "\n", + "Total number of variables............................: 873\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 873\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 4.33e-01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 3.87e-03 1.30e-02 -1.0 9.99e-03 - 9.90e-01 9.91e-01h 1\n", + " 2 0.0000000e+00 2.52e-13 7.04e-03 -1.0 8.93e-05 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 2\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.5409865726850915e-13 2.5224267119483557e-13\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.5409865726850915e-13 2.5224267119483557e-13\n", + "\n", + "\n", + "Number of objective function evaluations = 3\n", + "Number of objective gradient evaluations = 3\n", + "Number of equality constraint evaluations = 3\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 3\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 2\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", + "Pass the option square_override for the desired behaviour\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.0179215; Max residual ratio 1e-10.\n", + "\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 873\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 873\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 873, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3371\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 677\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", + "I[MA57]...\t[]***\n", + " Runtime parameters:\n", + " Objective type: METIS_OBJTYPE_CUT\n", + " Coarsening type: Unknown!\n", + " Initial partitioning type: Unknown!\n", + " Refinement type: Unknown!\n", + " Perform a 2-hop matching: No\n", + " Number of balancing constraints: 1\n", + " Number of refinement iterations: 69862044\n", + " Random number seed: 0\n", + " Number of separators: 32767\n", + " Compress graph prior to ordering: No\n", + " Detect & order connected components separately: No\n", + " Prunning factor for high degree vertices: 54009036.000000\n", + " Allowed maximum load imbalance: 1.515 \n", + "\n", + "Input Error: Incorrect objective type.\n", + " nbrpool statistics\n", + " nbrpoolsize: 0 nbrpoolcpos: 0\n", + " nbrpoolreallocs: 0\n", + "\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 1.792152e-02 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.01792151635817971.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=873, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.007081, Fact 0.010227, Overall 0.012088.\n", + "dsdp_mode=\n", + "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", + "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", + "I[[DOT_SENS]]...\t[MAIN]Number of variables 873\n", + "I[[DOT_SENS]]...\t[MAIN]Number of constraints 873\n", + "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1746\n", + "\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", + "\n", + "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", + "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", + "I[[DOT_SENS]]...\t[MAIN]Timing..0.007889 sec.\n", + "[[5.0, 0.9933018558458468, 0.19727881170974426, 0.03917158171904774, 0.007776006124592593, 0.0015432635510459563, 0.00030621374359793334, 6.074538004907332e-05, 1.2047824023133177e-05, 0.0, 1.9437621671106124, 0.9458180075350645, 0.34902159055285514, 0.11572124878848786, 0.036342246867521764, 0.011063841513150425, 0.0033046064316058616, 0.0009750944905482879, 0.0, 2.0629359770435407, 3.8569031807551912, 4.611806827728097, 4.87650274508692, 4.962114489581432, 4.988629944743252, 4.996634648188345, 4.999012857685428]]\n", + "[[4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791]]\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 368.0005567983665\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.32e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", + " 6r 0.0000000e+00 6.27e+01 4.14e+04 2.1 1.36e+04 - 5.51e-03 1.68e-03f 1\n", + " 7r 0.0000000e+00 3.77e+01 3.84e+04 2.1 8.47e+03 - 2.59e-02 2.98e-03f 1\n", + " 8r 0.0000000e+00 1.23e+01 3.04e+04 2.1 2.04e+03 - 7.70e-02 1.58e-02f 1\n", + " 9r 0.0000000e+00 6.95e+00 2.51e+04 2.1 1.58e+02 - 7.89e-02 3.61e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.36e+00 1.91e+04 2.1 1.29e+02 - 8.70e-02 3.81e-02f 1\n", + " 11r 0.0000000e+00 4.07e+00 1.30e+04 2.1 1.12e+02 - 1.61e-01 7.19e-02f 1\n", + " 12r 0.0000000e+00 2.88e+00 1.26e+04 2.1 8.59e+01 - 2.27e-01 1.45e-01f 1\n", + " 13r 0.0000000e+00 2.43e+00 9.79e+03 2.1 4.45e+01 - 4.32e-01 1.93e-01f 1\n", + " 14r 0.0000000e+00 9.18e-01 5.66e+03 2.1 2.89e+01 - 7.42e-01 3.43e-01f 1\n", + " 15r 0.0000000e+00 2.48e-01 1.40e+03 1.4 3.34e+00 - 1.00e+00 6.63e-01f 1\n", + " 16r 0.0000000e+00 1.75e-01 7.36e+02 0.7 2.72e+00 - 1.00e+00 5.59e-01f 1\n", + " 17r 0.0000000e+00 7.10e-02 3.14e+02 0.7 5.50e+00 - 8.75e-01 7.53e-01f 1\n", + " 18r 0.0000000e+00 5.51e-02 1.72e+00 0.7 1.08e+00 - 1.00e+00 1.00e+00f 1\n", + " 19r 0.0000000e+00 5.39e-02 6.00e+02 -1.4 9.36e-01 - 9.96e-01 6.76e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.79e-02 2.20e+03 -1.4 3.28e+01 - 7.77e-01 1.01e-01f 1\n", + " 21r 0.0000000e+00 2.41e-02 2.69e+03 -1.4 2.22e+01 - 1.00e+00 1.65e-01f 1\n", + " 22r 0.0000000e+00 4.56e-03 1.92e+03 -1.4 1.58e+01 - 1.00e+00 3.64e-01f 1\n", + " 23r 0.0000000e+00 2.64e-03 1.94e+03 -1.4 3.17e+00 - 1.00e+00 1.33e-01f 1\n", + " 24r 0.0000000e+00 5.11e-04 5.21e+02 -1.4 8.72e-01 - 1.00e+00 7.74e-01f 1\n", + " 25r 0.0000000e+00 6.08e-05 8.04e-01 -1.4 1.96e-01 - 1.00e+00 1.00e+00f 1\n", + " 26r 0.0000000e+00 1.97e-05 5.12e+01 -2.1 1.91e-02 - 1.00e+00 9.90e-01f 1\n", + " 27r 0.0000000e+00 1.44e-06 1.24e-05 -2.1 4.83e-03 - 1.00e+00 1.00e+00f 1\n", + " 28r 0.0000000e+00 5.59e-07 2.23e+01 -4.8 6.16e-04 - 1.00e+00 9.66e-01f 1\n", + " 29r 0.0000000e+00 8.87e-08 3.70e+01 -4.8 5.48e-05 - 1.00e+00 8.41e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.38e-10 1.82e-09 -4.8 3.23e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.3815883426768778e-10 3.3815883426768778e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.3815883426768778e-10 3.3815883426768778e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 37\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 37\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 32\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.030\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3371\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 677\n", + "\n", + "Total number of variables............................: 873\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 873\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 4.33e-01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 3.87e-03 1.30e-02 -1.0 9.99e-03 - 9.90e-01 9.91e-01h 1\n", + " 2 0.0000000e+00 2.52e-13 7.04e-03 -1.0 8.93e-05 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 2\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.5409865726850915e-13 2.5224267119483557e-13\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.5409865726850915e-13 2.5224267119483557e-13\n", + "\n", + "\n", + "Number of objective function evaluations = 3\n", + "Number of objective gradient evaluations = 3\n", + "Number of equality constraint evaluations = 3\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 3\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 2\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", + "Pass the option square_override for the desired behaviour\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.0179215; Max residual ratio 1e-10.\n", + "\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 873\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 873\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 873, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3371\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 677\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", + "I[MA57]...\t[]***\n", + " Runtime parameters:\n", + " Objective type: METIS_OBJTYPE_CUT\n", + " Coarsening type: Unknown!\n", + " Initial partitioning type: Unknown!\n", + " Refinement type: Unknown!\n", + " Perform a 2-hop matching: No\n", + " Number of balancing constraints: 1\n", + " Number of refinement iterations: 504705692\n", + " Random number seed: 0\n", + " Number of separators: 32767\n", + " Compress graph prior to ordering: No\n", + " Detect & order connected components separately: No\n", + " Prunning factor for high degree vertices: 54009036.000000\n", + " Allowed maximum load imbalance: 1.515 \n", + "\n", + "Input Error: Incorrect objective type.\n", + " nbrpool statistics\n", + " nbrpoolsize: 0 nbrpoolcpos: 0\n", + " nbrpoolreallocs: 0\n", + "\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 1.792152e-02 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.01792151635817971.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=873, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.006856, Fact 0.010286, Overall 0.012029.\n", + "dsdp_mode=\n", + "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", + "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", + "I[[DOT_SENS]]...\t[MAIN]Number of variables 873\n", + "I[[DOT_SENS]]...\t[MAIN]Number of constraints 873\n", + "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1746\n", + "\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", + "\n", + "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", + "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", + "I[[DOT_SENS]]...\t[MAIN]Timing..0.008504 sec.\n", + "[[5.0, 0.9933018558458468, 0.19727881170974426, 0.03917158171904774, 0.007776006124592593, 0.0015432635510459563, 0.00030621374359793334, 6.074538004907332e-05, 1.2047824023133177e-05, 0.0, 1.9437621671106124, 0.9458180075350645, 0.34902159055285514, 0.11572124878848786, 0.036342246867521764, 0.011063841513150425, 0.0033046064316058616, 0.0009750944905482879, 0.0, 2.0629359770435407, 3.8569031807551912, 4.611806827728097, 4.87650274508692, 4.962114489581432, 4.988629944743252, 4.996634648188345, 4.999012857685428], [5.0, 0.9773482268517311, 0.1910419113060445, 0.037342894653865644, 0.007299402375093316, 0.0014268115936749552, 0.00027889835622594433, 5.451616278585652e-05, 1.0656255006703885e-05, 0.0, 1.9612777312664234, 0.9550527412634068, 0.35329565100851446, 0.11760905404060082, 0.03713453638350285, 0.011379507458753619, 0.003424653356455482, 0.0010189910505045605, 0.0, 2.061374041881846, 3.8539053474305485, 4.60936145433762, 4.875091543584306, 4.961438652022823, 4.98834159418502, 4.996520830480758, 4.998970352694488]]\n", + "[[4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791]]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.699261707746163\n", + "E2_pert : 15.047135137500822\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.32e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", + " 6r 0.0000000e+00 6.27e+01 4.14e+04 2.1 1.36e+04 - 5.51e-03 1.68e-03f 1\n", + " 7r 0.0000000e+00 3.77e+01 3.84e+04 2.1 8.47e+03 - 2.59e-02 2.98e-03f 1\n", + " 8r 0.0000000e+00 1.23e+01 3.04e+04 2.1 2.04e+03 - 7.70e-02 1.58e-02f 1\n", + " 9r 0.0000000e+00 6.95e+00 2.51e+04 2.1 1.58e+02 - 7.89e-02 3.61e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.36e+00 1.91e+04 2.1 1.29e+02 - 8.70e-02 3.81e-02f 1\n", + " 11r 0.0000000e+00 4.07e+00 1.30e+04 2.1 1.12e+02 - 1.61e-01 7.19e-02f 1\n", + " 12r 0.0000000e+00 2.88e+00 1.26e+04 2.1 8.59e+01 - 2.27e-01 1.45e-01f 1\n", + " 13r 0.0000000e+00 2.43e+00 9.79e+03 2.1 4.45e+01 - 4.32e-01 1.93e-01f 1\n", + " 14r 0.0000000e+00 9.18e-01 5.66e+03 2.1 2.89e+01 - 7.42e-01 3.43e-01f 1\n", + " 15r 0.0000000e+00 2.48e-01 1.40e+03 1.4 3.34e+00 - 1.00e+00 6.63e-01f 1\n", + " 16r 0.0000000e+00 1.75e-01 7.36e+02 0.7 2.72e+00 - 1.00e+00 5.59e-01f 1\n", + " 17r 0.0000000e+00 7.10e-02 3.14e+02 0.7 5.50e+00 - 8.75e-01 7.53e-01f 1\n", + " 18r 0.0000000e+00 5.51e-02 1.72e+00 0.7 1.08e+00 - 1.00e+00 1.00e+00f 1\n", + " 19r 0.0000000e+00 5.39e-02 6.00e+02 -1.4 9.36e-01 - 9.96e-01 6.76e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.79e-02 2.20e+03 -1.4 3.28e+01 - 7.77e-01 1.01e-01f 1\n", + " 21r 0.0000000e+00 2.41e-02 2.69e+03 -1.4 2.22e+01 - 1.00e+00 1.65e-01f 1\n", + " 22r 0.0000000e+00 4.56e-03 1.92e+03 -1.4 1.58e+01 - 1.00e+00 3.64e-01f 1\n", + " 23r 0.0000000e+00 2.64e-03 1.94e+03 -1.4 3.17e+00 - 1.00e+00 1.33e-01f 1\n", + " 24r 0.0000000e+00 5.11e-04 5.21e+02 -1.4 8.72e-01 - 1.00e+00 7.74e-01f 1\n", + " 25r 0.0000000e+00 6.08e-05 8.04e-01 -1.4 1.96e-01 - 1.00e+00 1.00e+00f 1\n", + " 26r 0.0000000e+00 1.97e-05 5.12e+01 -2.1 1.91e-02 - 1.00e+00 9.90e-01f 1\n", + " 27r 0.0000000e+00 1.44e-06 1.24e-05 -2.1 4.83e-03 - 1.00e+00 1.00e+00f 1\n", + " 28r 0.0000000e+00 5.59e-07 2.23e+01 -4.8 6.16e-04 - 1.00e+00 9.66e-01f 1\n", + " 29r 0.0000000e+00 8.87e-08 3.70e+01 -4.8 5.48e-05 - 1.00e+00 8.41e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.38e-10 1.82e-09 -4.8 3.23e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.3815883426768778e-10 3.3815883426768778e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.3815883426768778e-10 3.3815883426768778e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 37\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 37\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 32\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.032\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3371\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 677\n", + "\n", + "Total number of variables............................: 873\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 873\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 4.33e-01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 3.87e-03 1.30e-02 -1.0 9.99e-03 - 9.90e-01 9.91e-01h 1\n", + " 2 0.0000000e+00 2.52e-13 7.04e-03 -1.0 8.93e-05 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 2\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.5409865726850915e-13 2.5224267119483557e-13\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.5409865726850915e-13 2.5224267119483557e-13\n", + "\n", + "\n", + "Number of objective function evaluations = 3\n", + "Number of objective gradient evaluations = 3\n", + "Number of equality constraint evaluations = 3\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 3\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 2\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", + "Pass the option square_override for the desired behaviour\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.0179215; Max residual ratio 1e-10.\n", + "\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 873\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 873\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 873, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3371\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 677\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", + "I[MA57]...\t[]***\n", + " Runtime parameters:\n", + " Objective type: METIS_OBJTYPE_CUT\n", + " Coarsening type: Unknown!\n", + " Initial partitioning type: Unknown!\n", + " Refinement type: Unknown!\n", + " Perform a 2-hop matching: No\n", + " Number of balancing constraints: 1\n", + " Number of refinement iterations: 250802844\n", + " Random number seed: 0\n", + " Number of separators: 32767\n", + " Compress graph prior to ordering: No\n", + " Detect & order connected components separately: No\n", + " Prunning factor for high degree vertices: 54009036.000000\n", + " Allowed maximum load imbalance: 1.515 \n", + "\n", + "Input Error: Incorrect objective type.\n", + " nbrpool statistics\n", + " nbrpoolsize: 0 nbrpoolcpos: 0\n", + " nbrpoolreallocs: 0\n", + "\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 1.792152e-02 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.01792151635817971.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=873, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.006591, Fact 0.009735, Overall 0.011547.\n", + "dsdp_mode=\n", + "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", + "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", + "I[[DOT_SENS]]...\t[MAIN]Number of variables 873\n", + "I[[DOT_SENS]]...\t[MAIN]Number of constraints 873\n", + "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1746\n", + "\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", + "\n", + "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", + "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", + "I[[DOT_SENS]]...\t[MAIN]Timing..0.007404 sec.\n", + "[[5.0, 0.9933018558458468, 0.19727881170974426, 0.03917158171904774, 0.007776006124592593, 0.0015432635510459563, 0.00030621374359793334, 6.074538004907332e-05, 1.2047824023133177e-05, 0.0, 1.9437621671106124, 0.9458180075350645, 0.34902159055285514, 0.11572124878848786, 0.036342246867521764, 0.011063841513150425, 0.0033046064316058616, 0.0009750944905482879, 0.0, 2.0629359770435407, 3.8569031807551912, 4.611806827728097, 4.87650274508692, 4.962114489581432, 4.988629944743252, 4.996634648188345, 4.999012857685428], [5.0, 0.9773482268517311, 0.1910419113060445, 0.037342894653865644, 0.007299402375093316, 0.0014268115936749552, 0.00027889835622594433, 5.451616278585652e-05, 1.0656255006703885e-05, 0.0, 1.9612777312664234, 0.9550527412634068, 0.35329565100851446, 0.11760905404060082, 0.03713453638350285, 0.011379507458753619, 0.003424653356455482, 0.0010189910505045605, 0.0, 2.061374041881846, 3.8539053474305485, 4.60936145433762, 4.875091543584306, 4.961438652022823, 4.98834159418502, 4.996520830480758, 4.998970352694488], [5.0, 0.9475033915692679, 0.17937439256844556, 0.0339219260288802, 0.00640780834316137, 0.0012089621321298826, 0.00022779880783513963, 4.286301708289999e-05, 8.053013568981949e-06, 0.0, 1.9569826464949052, 0.9343622492442549, 0.33925146422635427, 0.11096128639970089, 0.03445789176948576, 0.010394795630838992, 0.0030821536141597103, 0.0009042209607086725, 0.0, 2.095513961935827, 3.8862633581872994, 4.626826609744765, 4.882630905257138, 4.964333146098385, 4.989377405561326, 4.996874983368757, 4.999087726025722]]\n", + "[[4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791]]\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 14.896663786125814\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.32e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", + " 6r 0.0000000e+00 6.27e+01 4.14e+04 2.1 1.36e+04 - 5.51e-03 1.68e-03f 1\n", + " 7r 0.0000000e+00 3.77e+01 3.84e+04 2.1 8.47e+03 - 2.59e-02 2.98e-03f 1\n", + " 8r 0.0000000e+00 1.23e+01 3.04e+04 2.1 2.04e+03 - 7.70e-02 1.58e-02f 1\n", + " 9r 0.0000000e+00 6.95e+00 2.51e+04 2.1 1.58e+02 - 7.89e-02 3.61e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.36e+00 1.91e+04 2.1 1.29e+02 - 8.70e-02 3.81e-02f 1\n", + " 11r 0.0000000e+00 4.07e+00 1.30e+04 2.1 1.12e+02 - 1.61e-01 7.19e-02f 1\n", + " 12r 0.0000000e+00 2.88e+00 1.26e+04 2.1 8.59e+01 - 2.27e-01 1.45e-01f 1\n", + " 13r 0.0000000e+00 2.43e+00 9.79e+03 2.1 4.45e+01 - 4.32e-01 1.93e-01f 1\n", + " 14r 0.0000000e+00 9.18e-01 5.66e+03 2.1 2.89e+01 - 7.42e-01 3.43e-01f 1\n", + " 15r 0.0000000e+00 2.48e-01 1.40e+03 1.4 3.34e+00 - 1.00e+00 6.63e-01f 1\n", + " 16r 0.0000000e+00 1.75e-01 7.36e+02 0.7 2.72e+00 - 1.00e+00 5.59e-01f 1\n", + " 17r 0.0000000e+00 7.10e-02 3.14e+02 0.7 5.50e+00 - 8.75e-01 7.53e-01f 1\n", + " 18r 0.0000000e+00 5.51e-02 1.72e+00 0.7 1.08e+00 - 1.00e+00 1.00e+00f 1\n", + " 19r 0.0000000e+00 5.39e-02 6.00e+02 -1.4 9.36e-01 - 9.96e-01 6.76e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.79e-02 2.20e+03 -1.4 3.28e+01 - 7.77e-01 1.01e-01f 1\n", + " 21r 0.0000000e+00 2.41e-02 2.69e+03 -1.4 2.22e+01 - 1.00e+00 1.65e-01f 1\n", + " 22r 0.0000000e+00 4.56e-03 1.92e+03 -1.4 1.58e+01 - 1.00e+00 3.64e-01f 1\n", + " 23r 0.0000000e+00 2.64e-03 1.94e+03 -1.4 3.17e+00 - 1.00e+00 1.33e-01f 1\n", + " 24r 0.0000000e+00 5.11e-04 5.21e+02 -1.4 8.72e-01 - 1.00e+00 7.74e-01f 1\n", + " 25r 0.0000000e+00 6.08e-05 8.04e-01 -1.4 1.96e-01 - 1.00e+00 1.00e+00f 1\n", + " 26r 0.0000000e+00 1.97e-05 5.12e+01 -2.1 1.91e-02 - 1.00e+00 9.90e-01f 1\n", + " 27r 0.0000000e+00 1.44e-06 1.24e-05 -2.1 4.83e-03 - 1.00e+00 1.00e+00f 1\n", + " 28r 0.0000000e+00 5.59e-07 2.23e+01 -4.8 6.16e-04 - 1.00e+00 9.66e-01f 1\n", + " 29r 0.0000000e+00 8.87e-08 3.70e+01 -4.8 5.48e-05 - 1.00e+00 8.41e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.38e-10 1.82e-09 -4.8 3.23e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.3815883426768778e-10 3.3815883426768778e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.3815883426768778e-10 3.3815883426768778e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 37\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 37\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 32\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.031\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3371\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 677\n", + "\n", + "Total number of variables............................: 873\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 873\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 4.33e-01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 3.87e-03 1.30e-02 -1.0 9.99e-03 - 9.90e-01 9.91e-01h 1\n", + " 2 0.0000000e+00 2.52e-13 7.04e-03 -1.0 8.93e-05 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 2\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.5409865726850915e-13 2.5224267119483557e-13\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.5409865726850915e-13 2.5224267119483557e-13\n", + "\n", + "\n", + "Number of objective function evaluations = 3\n", + "Number of objective gradient evaluations = 3\n", + "Number of equality constraint evaluations = 3\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 3\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 2\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", + "Pass the option square_override for the desired behaviour\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.0179215; Max residual ratio 1e-10.\n", + "\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 873\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 873\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 873, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3371\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 677\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", + "I[MA57]...\t[]***\n", + " Runtime parameters:\n", + " Objective type: METIS_OBJTYPE_CUT\n", + " Coarsening type: Unknown!\n", + " Initial partitioning type: Unknown!\n", + " Refinement type: Unknown!\n", + " Perform a 2-hop matching: No\n", + " Number of balancing constraints: 1\n", + " Number of refinement iterations: 283943580\n", + " Random number seed: 0\n", + " Number of separators: 32767\n", + " Compress graph prior to ordering: No\n", + " Detect & order connected components separately: No\n", + " Prunning factor for high degree vertices: 54009036.000000\n", + " Allowed maximum load imbalance: 1.515 \n", + "\n", + "Input Error: Incorrect objective type.\n", + " nbrpool statistics\n", + " nbrpoolsize: 0 nbrpoolcpos: 0\n", + " nbrpoolreallocs: 0\n", + "\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 1.792152e-02 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.01792151635817971.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=873, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.006584, Fact 0.009966, Overall 0.011808.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dsdp_mode=\n", + "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", + "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", + "I[[DOT_SENS]]...\t[MAIN]Number of variables 873\n", + "I[[DOT_SENS]]...\t[MAIN]Number of constraints 873\n", + "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1746\n", + "\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", + "\n", + "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", + "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", + "I[[DOT_SENS]]...\t[MAIN]Timing..0.007705 sec.\n", + "[[5.0, 0.9933018558458468, 0.19727881170974426, 0.03917158171904774, 0.007776006124592593, 0.0015432635510459563, 0.00030621374359793334, 6.074538004907332e-05, 1.2047824023133177e-05, 0.0, 1.9437621671106124, 0.9458180075350645, 0.34902159055285514, 0.11572124878848786, 0.036342246867521764, 0.011063841513150425, 0.0033046064316058616, 0.0009750944905482879, 0.0, 2.0629359770435407, 3.8569031807551912, 4.611806827728097, 4.87650274508692, 4.962114489581432, 4.988629944743252, 4.996634648188345, 4.999012857685428], [5.0, 0.9773482268517311, 0.1910419113060445, 0.037342894653865644, 0.007299402375093316, 0.0014268115936749552, 0.00027889835622594433, 5.451616278585652e-05, 1.0656255006703885e-05, 0.0, 1.9612777312664234, 0.9550527412634068, 0.35329565100851446, 0.11760905404060082, 0.03713453638350285, 0.011379507458753619, 0.003424653356455482, 0.0010189910505045605, 0.0, 2.061374041881846, 3.8539053474305485, 4.60936145433762, 4.875091543584306, 4.961438652022823, 4.98834159418502, 4.996520830480758, 4.998970352694488], [5.0, 0.9475033915692679, 0.17937439256844556, 0.0339219260288802, 0.00640780834316137, 0.0012089621321298826, 0.00022779880783513963, 4.286301708289999e-05, 8.053013568981949e-06, 0.0, 1.9569826464949052, 0.9343622492442549, 0.33925146422635427, 0.11096128639970089, 0.03445789176948576, 0.010394795630838992, 0.0030821536141597103, 0.0009042209607086725, 0.0, 2.095513961935827, 3.8862633581872994, 4.626826609744765, 4.882630905257138, 4.964333146098385, 4.989377405561326, 4.996874983368757, 4.999087726025722], [5.0, 0.9773482268517311, 0.1910419113060445, 0.037342894653865574, 0.00729940237509331, 0.001426811593674966, 0.0002788983562259393, 5.451616278585405e-05, 1.0656255006700197e-05, 0.0, 1.901638547578657, 0.8939584417613551, 0.31782970877136485, 0.10122868942481285, 0.03044228329266501, 0.00884467124592834, 0.002512129123869173, 0.0007021623084177593, 0.0, 2.121013225569612, 3.9149996469326003, 4.64482739657477, 4.891471908200094, 4.96813090511366, 4.9908764303978455, 4.997433354713345, 4.999287181436575]]\n", + "[[4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791]]\n", + "Existed information has been added.\n", + "FIM: [[ 34.82842589 8.98465166 -93.24075867 -36.95321692]\n", + " [ 8.98465166 34.7202196 -19.1006792 -169.32118934]\n", + " [ -93.24075867 -19.1006792 261.98359163 82.95164756]\n", + " [ -36.95321692 -169.32118934 82.95164756 876.13524366]]\n", + "Trace: 1207.667480785029\n", + "Determinant: 560758.4864955288\n", + "Condition number: 1016.6982929867096\n", + "Minimal eigen value: 0.9075848733938492\n", + "Eigen values: [9.22739992e+02 2.81642456e+02 9.07584873e-01 2.37744862e+00]\n", + "Eigen vectors: [[ 0.05653299 -0.32983836 -0.77051799 0.54250595]\n", + " [ 0.1886326 0.01601913 0.56994741 0.79957556]\n", + " [-0.13533434 0.9325324 -0.26619805 0.20299395]\n", + " [-0.97103366 -0.14605948 0.10295907 0.15861803]]\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -292,10 +1310,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "64fc6da4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "Four design criteria log10() value:\n", + "A-optimality: 3.081947372083569\n", + "D-optimality: 5.748775854899303\n", + "E-optimality: -0.04211275105982819\n", + "Modified E-optimality: 3.0071920943871038\n" + ] + } + ], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", @@ -488,7 +1519,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "flush-diameter", "metadata": {}, "outputs": [], @@ -509,181 +1540,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "separate-leone", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "8 design vectors will be searched.\n", - "=======This is the 1 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", - " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", - " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", - " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", - "Trace: 1099.5362969977725\n", - "Determinant: 151638.4943213679\n", - "Condition number: 1703.5708820968514\n", - "Minimal eigen value: 0.48581739042109506\n", - "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", - "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", - " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", - " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", - " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", - "This is the 1 run out of 8 run.\n", - "The code has run 1.2601 seconds.\n", - "Estimated remaining time: 8.8209 seconds\n", - "=======This is the 2 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", - " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", - " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", - " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", - "Trace: 1099.5362969977725\n", - "Determinant: 151638.4943213679\n", - "Condition number: 1703.5708820968514\n", - "Minimal eigen value: 0.48581739042109506\n", - "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", - "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", - " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", - " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", - " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", - "This is the 2 run out of 8 run.\n", - "The code has run 2.4993 seconds.\n", - "Estimated remaining time: 7.4980 seconds\n", - "=======This is the 3 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.77447266 5.4733019 -81.86441559 -24.18097488]\n", - " [ 5.4733019 26.4829594 -12.4994136 -139.4302313 ]\n", - " [ -81.86441559 -12.4994136 240.63335596 58.97428567]\n", - " [ -24.18097488 -139.4302313 58.97428567 767.74785482]]\n", - "Trace: 1063.638642847519\n", - "Determinant: 146507.48646152133\n", - "Condition number: 1624.9104501935346\n", - "Minimal eigen value: 0.49299236417422976\n", - "Eigen values: [8.01068444e+02 2.60653941e+02 4.92992364e-01 1.42326479e+00]\n", - "Eigen vectors: [[ 0.04382893 -0.31893711 -0.7717461 0.54842146]\n", - " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", - " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", - " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", - "This is the 3 run out of 8 run.\n", - "The code has run 3.9796 seconds.\n", - "Estimated remaining time: 6.6326 seconds\n", - "=======This is the 4 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.77447266 5.4733019 -81.86441559 -24.18097488]\n", - " [ 5.4733019 26.4829594 -12.4994136 -139.4302313 ]\n", - " [ -81.86441559 -12.4994136 240.63335596 58.97428567]\n", - " [ -24.18097488 -139.4302313 58.97428567 767.74785482]]\n", - "Trace: 1063.638642847519\n", - "Determinant: 146507.48646152133\n", - "Condition number: 1624.9104501935346\n", - "Minimal eigen value: 0.49299236417422976\n", - "Eigen values: [8.01068444e+02 2.60653941e+02 4.92992364e-01 1.42326479e+00]\n", - "Eigen vectors: [[ 0.04382893 -0.31893711 -0.7717461 0.54842146]\n", - " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", - " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", - " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", - "This is the 4 run out of 8 run.\n", - "The code has run 5.5022 seconds.\n", - "Estimated remaining time: 5.5022 seconds\n", - "=======This is the 5 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", - " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", - " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", - " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", - "Trace: 1981.0422198461438\n", - "Determinant: 561207.9662178434\n", - "Condition number: 2950.219453820002\n", - "Minimal eigen value: 0.5016011129279737\n", - "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", - "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", - " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", - " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", - " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", - "This is the 5 run out of 8 run.\n", - "The code has run 6.7078 seconds.\n", - "Estimated remaining time: 4.0247 seconds\n", - "=======This is the 6 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", - " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", - " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", - " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", - "Trace: 1981.0422198461438\n", - "Determinant: 561207.9662178434\n", - "Condition number: 2950.219453820002\n", - "Minimal eigen value: 0.5016011129279737\n", - "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", - "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", - " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", - " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", - " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", - "This is the 6 run out of 8 run.\n", - "The code has run 7.9705 seconds.\n", - "Estimated remaining time: 2.6568 seconds\n", - "=======This is the 7 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", - " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", - " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", - " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", - "Trace: 1083.6008663096845\n", - "Determinant: 330586.4905784959\n", - "Condition number: 1212.388775069196\n", - "Minimal eigen value: 0.6727727401066618\n", - "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", - "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", - " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", - " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", - " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", - "This is the 7 run out of 8 run.\n", - "The code has run 9.6383 seconds.\n", - "Estimated remaining time: 1.3769 seconds\n", - "=======This is the 8 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", - " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", - " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", - " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", - "Trace: 1083.6008663096845\n", - "Determinant: 330586.4905784959\n", - "Condition number: 1212.388775069196\n", - "Minimal eigen value: 0.6727727401066618\n", - "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", - "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", - " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", - " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", - " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", - "This is the 8 run out of 8 run.\n", - "The code has run 11.3742 seconds.\n", - "Estimated remaining time: 0.0000 seconds\n", - "The whole run takes 11.374619007110596 s.\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -697,54 +1559,30 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "f6357722", + "execution_count": null, + "id": "8db5ddd0", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], + "outputs": [], "source": [ "print(all_fim)" ] }, { "cell_type": "code", - "execution_count": 12, - "id": "8a38b361", + "execution_count": null, + "id": "35e04de6", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[, , , , , , , ]\n" - ] - } - ], + "outputs": [], "source": [ "print(doe_object.all_fim)" ] }, { "cell_type": "code", - "execution_count": 9, - "id": "38e38e3b", + "execution_count": null, + "id": "c3c33d98", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[, , , , , , , ]\n" - ] - } - ], + "outputs": [], "source": [ "print(all_fim.FIM_result_list)" ] @@ -763,7 +1601,7 @@ }, { "cell_type": "markdown", - "id": "07db5505", + "id": "65acbe46", "metadata": {}, "source": [ "### 1D heatmap" @@ -772,7 +1610,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8fe67426", + "id": "22d0e1f6", "metadata": {}, "outputs": [], "source": [ @@ -792,7 +1630,7 @@ { "cell_type": "code", "execution_count": null, - "id": "47d748d5", + "id": "986c0abd", "metadata": {}, "outputs": [], "source": [ @@ -809,7 +1647,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a4a2179b", + "id": "2587a748", "metadata": {}, "outputs": [], "source": [ @@ -821,7 +1659,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c1843ce2", + "id": "3bd4852a", "metadata": {}, "outputs": [], "source": [] From f831918631a1b99363fb32dca1f2bc0d96f2b8a6 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sun, 8 Aug 2021 20:44:08 -0400 Subject: [PATCH 08/42] update figure drawing function --- pyomo/contrib/doe/DoE_package.py | 348 +++- pyomo/contrib/doe/reactor_control_doe.ipynb | 1986 +++++++++---------- 2 files changed, 1197 insertions(+), 1137 deletions(-) diff --git a/pyomo/contrib/doe/DoE_package.py b/pyomo/contrib/doe/DoE_package.py index a2d50ef4ea6..3b9baa6b561 100644 --- a/pyomo/contrib/doe/DoE_package.py +++ b/pyomo/contrib/doe/DoE_package.py @@ -361,7 +361,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No if self.discretize_model is not None: mod = self.discretize_model(mod) - # fix model DOF + # For sIPOPT, fix model DOF if self.mode =='sequential_sipopt': mod = self.__fix_design(mod, self.design_values, fix_opt=True) @@ -375,11 +375,10 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # add sIPOPT perturbation parameters mod = self.__add_parameter(mod, perturb=pa) + # solve the square problem with the original parameters for k_aug mode, since k_aug does not calculate these if self.mode == 'sequential_kaug': self.__solve_doe(mod, fix=True) - - # parameter name lists for sipopt list_original = [] list_perturb = [] @@ -403,8 +402,6 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # check if this variable is fixed if (measure_var[0,t].fixed == True): perturb_value = value(measure_var[0,t]) - #if self.verbose: - # print(measure_var[0, t], ' is fixed') else: # if it is not fixed, record its perturbed value @@ -531,7 +528,7 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, tee_option=False, scale_nominal_param_value=False, scale_constant_value=1, filename=None, formula='central', step=0.001): ''' - Enumerate through full factorial grid search for two design variables; + Enumerate through full factorial grid search for design variables; solve square problems sequentially to compute FIMs. It calculates FIM with sensitivity information from four ways: 1, Simultaneous: Calculate a multiple scenario model. Sensitivity info estimated by finite difference @@ -558,12 +555,8 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, Return: ------- - result_combine: a list of dictionaries, which stores the FIM info from every grid searched. + figure_draw_object: a combined result object of class Grid_search_result ''' - #self.formula = formula - #self.mode = mode - #self.scale_nominal_param_value = scale_nominal_param_value - #self.scale_constant_value = scale_constant_value # Set the Objective Function to 0 helps solve square problem quickly self.obj_opt='zero' self.filename = filename @@ -571,14 +564,12 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, # calculate how much the FIM element is scaled self.fim_scale_constant_value = scale_constant_value ** 2 - #self.__check_inputs(check_mode=True, check_dimension_dv=False) - # when defining design space, design variable values are defined as in design_values argument # the design var value defined in dv_ranges only applies to control time points given in dv_apply_time grid_dimension = len(design_ranges) # to store all FIM results - result_combine = [] + result_combine = {} # time 0 t_begin = time.time() @@ -635,7 +626,8 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, print('Estimated remaining time: %.4f seconds' % ((t_now-t_begin)/(count+1)*(total_count-count-1))) count += 1 - result_combine.append(result_iter) + # the combined result object are organized as a dictionary, keys are a tuple of the design variable values, values are a result object + result_combine[tuple(design_set_iter)] = result_iter t_end = time.time() print('The whole run takes ', t_end - t_begin, ' s.') @@ -1596,19 +1588,17 @@ def __get_solver_info(self): class Grid_Search_Result: def __init__(self, design_ranges, design_dimension_names, design_control_time, FIM_result_list, store_optimality_name=None, verbose=True): ''' - This class deals with the FIM results from grid search, - turns them into heatmaps. + This class deals with the FIM results from grid search, providing A, D, E, ME-criteria results for each design variable. + Can choose to draw 1D sensitivity curves and 2D heatmaps. Parameters: ----------- - dv_ranges: a dict whose keys are design variable names, values are a list of design variable values to go over - FIM_result_list: FIM results list from grid search functions + design_ranges: a dict whose keys are design variable names, values are a list of design variable values to go over + design_dimension_names: a list of design variables names + design_control_time: a list of design control timesets + FIM_result_list: a dictionary containing FIM results, keys are a tuple of design variable values, values are FIM result objects store_optimality_name: a csv file name containing all four optimalities value verbose: if print statements - - Return: - ------ - heatmap ''' # design variables self.design_names = design_dimension_names @@ -1616,102 +1606,272 @@ def __init__(self, design_ranges, design_dimension_names, design_control_time, F self.design_control_time = design_control_time self.FIM_result_list = FIM_result_list - - #self.len_range1 = len(dv_ranges[self.dv_names[0]]) - #self.len_range2 = len(dv_ranges[self.dv_names[1]]) self.store_optimality_name = store_optimality_name self.verbose = verbose - def __extract_criteria(self): + def extract_criteria(self): ''' - Extract criteria values from each FIM info class + Extract design criteria values for every 'grid' (design variable combination) searched. + + Returns: + ------- + self.store_all_results_dataframe: a pandas dataframe with columns as design variable names and A, D, E, ME-criteria names. + Each row contains the design variable value for this 'grid', and the 4 design criteria value for this 'grid'. ''' - # initialize the resulted matrix - # A-opt results in numpy array - cri_a = np.zeros((self.len_range1, self.len_range2)) - # D-opt - cri_d = np.zeros((self.len_range1, self.len_range2)) - # E-opt - cri_e = np.zeros((self.len_range1, self.len_range2)) - # Modified E-opt - cri_e_cond = np.zeros((self.len_range1, self.len_range2)) # a list store all results store_all_results = [] - # loop over design space - for no_i, i in enumerate(self.dv_ranges[self.dv_names[0]]): - for no_j, j in enumerate(self.dv_ranges[self.dv_names[1]]): - if self.verbose: - print('At ', self.dv_names[0], '=', i, ', ', self.dv_names[1], '= ', j, ':') + # generate combinations of design variable values to go over + search_design_set = product(*self.design_ranges) - # map the FIM info class to the overall list - fim_result_no = no_j + no_i * self.len_range2 - fim_iter = self.FIM_result_list[fim_result_no] + # loop over deign value combinations + for design_set_iter in search_design_set: + if self.verbose: + print('Design variable: ', self.design_names) + print('Value : ', design_set_iter) + + # locate this grid in the dictionary of combined results + result_object_asdict = {k:v for k,v in self.FIM_result_list.items() if k==design_set_iter} + # an result object is identified by a tuple of the design variable value it uses + result_object_iter = result_object_asdict[design_set_iter] + + # store results as a row in the dataframe + store_iteration_result = list(design_set_iter) + store_iteration_result.append(result_object_iter.trace) + store_iteration_result.append(result_object_iter.det) + store_iteration_result.append(result_object_iter.min_eig) + store_iteration_result.append(result_object_iter.cond) + + # add this row to the dataframe + store_all_results.append(store_iteration_result) + + # generate column names for the dataframe + column_names = [] + # this count is for repeated design variable names which can happen in dynamic problems + count = 0 + for i in self.design_names: + # if a name is in the design variable name list more than once, name them as name_itself, name_itself2, ... + # this is because it can be errornous when we extract values from a dataframe with two columns having the same name + if i in column_names: + count += 1 + i = i+str(count+1) + column_names.append(i) + + # Each design criteria has a column to store values + column_names.append('A') + column_names.append('D') + column_names.append('E') + column_names.append('ME') + # generate the dataframe + self.store_all_results_dataframe = pd.DataFrame(store_all_results, columns=column_names) + # if needs to store the values + if self.store_optimality_name is not None: + store_df.to_csv(self.store_optimality_name, index=False) - if self.verbose: - print('We found the class where ', self.dv_names[0], '=', fim_iter.dv_info[self.dv_names[0]], ',', - self.dv_names[1], '=', fim_iter.dv_info[self.dv_names[1]]) - cri_a[no_i][no_j] = fim_iter.trace - cri_d[no_i][no_j] = fim_iter.det - cri_e[no_i][no_j] = fim_iter.min_eig - cri_e_cond[no_i][no_j] = fim_iter.cond + def figure_drawing(self, fixed_design_dimensions, sensitivity_dimension, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True): + ''' + Extract results needed for drawing figures from the overall result dataframe. + Draw 1D sensitivity curve or 2D heatmap. + It can be applied to results of any dimensions, but requires design variable values in other dimensions be fixed. - # store results - store_iteration_result = [i, j, fim_iter.trace, fim_iter.det, fim_iter.min_eig, fim_iter.cond] - store_all_results.append(store_iteration_result) + Parameters: + ---------- + fixed_design_dimensions: a dictionary, keys are the design variable names to be fixed, values are the value of it to be fixed. + sensitivity_dimension: a list of design variable names to draw figures. + If only one name is given, a 1D sensitivity curve is drawn + if two names are given, a 2D heatmap is drawn. + title_text: name of the figure, a string + xlabel_text: x label title, a string. + In a 1D sensitivity curve, it is the design variable by which the curve is drawn. + In a 2D heatmap, it should be the second design varialbe in the design_ranges + ylabel_text: y label title, a string. + A 1D sensitivity cuve does not need it. In a 2D heatmap, it should be the first design variable in the dv_ranges + font_axes: axes label font size + font_tick: tick label font size + log_scale: if True, the result matrix will be scaled by log10 - if self.verbose: - print('A-optimal result is', cri_a[no_i][no_j], 'D-optimal result is', cri_d[no_i][no_j], - 'E-optimal(minimal eigenvalue) result is', cri_e[no_i][no_j], - 'Modified E-optimal (condition number) result is', cri_e_cond[no_i][no_j]) + Returns: + -------- + None + ''' + self.fixed_design_names = list(fixed_design_dimensions.keys()) + self.fixed_design_values = list(fixed_design_dimensions.values()) + self.sensitivity_dimension = sensitivity_dimension + + assert (len(self.fixed_design_names)+len(self.sensitivity_dimension)==len(self.design_names)), \ + 'Error: All dimensions except for those the figures are drawn by should be fixed.' + + assert (len(self.sensitivity_dimension) is in [1,2]), 'Error: Either 1D or 2D figures can be drawn.' + + # generate a combination of logic sentences to filter the results of the DOF needed. + if len(self.fixed_design_names) != 0: + filter = '' + for i in range(len(self.fixed_design_names)): + filter += '(self.store_all_results_dataframe[' + filter += str(self.fixed_design_names[i]) + filter += ']==' + filter += str(self.fixed_design_values[i]) + filter += ')' + if i != (len(self.fixed_design_names)-1): + filter += '&' + # extract results with other dimensions fixed + figure_result_data = self.store_all_results_dataframe.loc[eval(filter)] + # if there is no other fixed dimensions + else: + figure_result_data = self.store_all_results_dataframe - self.cri_a = cri_a - self.cri_d = cri_d - self.cri_e = cri_e - self.cri_e_cond = cri_e_cond - # give user access to all results - self.all_result = store_all_results + # add results for figures + self.figure_result_data = figure_result_data - # store optimality values - if self.store_optimality_name is not None: - column_names = [self.dv_names[0], self.dv_names[1], 'A', 'D', 'E', 'ME'] - store_df = pd.DataFrame(store_all_results, columns=column_names) - store_df.to_csv(self.store_optimality_name, index=False) + # if one design variable name is given as DOF, draw 1D sensitivity curve + if (len(sensitivity_dimension) == 1): + self.__curve1D(title_text, xlabel_text, font_axes=16, font_tick=14, log_scale=True) + # if two design variable names are given as DOF, draw 2D heatmaps + elif (len(sensitivity_dimension) == 2): + self.__heatmap(title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True) - def curve1D(self, sensitivity_ranges): + + def __curve1D(self, title_text, xlabel_text, font_axes=16, font_tick=14, log_scale=True): ''' - Draw 1D sensitivity analysis. It can be applied to results of any dimensions, but requires design variable values in other dimensions be fixed. - Returns: + Draw 1D sensitivity curves for all design criteria + + Parameters: + ---------- + title_text: name of the figure, a string + xlabel_text: x label title, a string. + In a 1D sensitivity curve, it is the design variable by which the curve is drawn. + font_axes: axes label font size + font_tick: tick label font size + log_scale: if True, the result matrix will be scaled by log10 + Returns: + -------- + 4 Figures of 1D sensitivity curves for each criteria ''' - return None - def heatmap3D(self): - return None + # extract the range of the DOF design variable + x_range = self.figure_result_data[self.sensitivity_dimension[0]].values.tolist() + + # decide if the results are log scaled + if log_scale: + y_range_A = np.log10(self.figure_result_data['A'].values.tolist()) + y_range_D = np.log10(self.figure_result_data['D'].values.tolist()) + y_range_E = np.log10(self.figure_result_data['E'].values.tolist()) + y_range_ME = np.log10(self.figure_result_data['ME'].values.tolist()) + else: + y_range_A = self.figure_result_data['A'].values.tolist() + y_range_D = self.figure_result_data['D'].values.tolist() + y_range_E = self.figure_result_data['E'].values.tolist() + y_range_ME = self.figure_result_data['ME'].values.tolist() - def heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True): + # Draw A-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + #plt.rcParams.update(params) + ax.plot(x_range, y_range_A) + ax.scatter(x_range, y_range_A) + ax.set_ylabel('$log_{10}$ Trace') + ax.set_xlabel(xlabel_text) + plt.title(title_text + ' - A optimality') + plt.show() + + # Draw D-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + # plt.rcParams.update(params) + ax.plot(x_range, y_range_D) + ax.scatter(x_range, y_range_D) + ax.set_ylabel('$log_{10}$ Determinant') + ax.set_xlabel(xlabel_text) + plt.title(title_text + ' - D optimality') + plt.show() + + # Draw E-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + # plt.rcParams.update(params) + ax.plot(x_range, y_range_E) + ax.scatter(x_range, y_range_E) + ax.set_ylabel('$log_{10}$ Minimal eigenvalue') + ax.set_xlabel(xlabel_text) + plt.title(title_text + ' - E optimality') + plt.show() + + # Draw Modified E-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + # plt.rcParams.update(params) + ax.plot(x_range, y_range_ME) + ax.scatter(x_range, y_range_ME) + ax.set_ylabel('$log_{10}$ Condition number') + ax.set_xlabel(xlabel_text) + plt.title(title_text + ' - Modified E optimality') + plt.show() + + def __heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True): ''' - draw heatmaps of the three criteria + Draw 2D heatmaps for all design criteria Parameters: - ----------- - title_text: name of the heatmap, a string - xlabel_text: x label title, a string, should be the second design varialbe in the dv_ranges - ylabel_text: y label title, a string, should be the first design variable in the dv_ranges - font_axes: axis font size - font_tick: axis tick font size + ---------- + title_text: name of the figure, a string + xlabel_text: x label title, a string. + In a 2D heatmap, it should be the second design varialbe in the design_ranges + ylabel_text: y label title, a string. + In a 2D heatmap, it should be the first design variable in the dv_ranges + font_axes: axes label font size + font_tick: tick label font size log_scale: if True, the result matrix will be scaled by log10 - Note: - ---- - Return 4 heatmaps for A, D, E, Modified E-criteria + Returns: + -------- + 4 Figures of 2D heatmap for each criteria ''' - # Get meshgrids of design variables and results for plotting - self.__extract_criteria() + # achieve the design variable ranges this figure needs + x_range = list(set(self.figure_result_data[self.sensitivity_dimension[0]].values.tolist())) + y_range = list(set(self.figure_result_data[self.sensitivity_dimension[1]].values.tolist())) + + # extract the design criteria values + A_range = self.figure_result_data['A'].values.tolist() + D_range = self.figure_result_data['D'].values.tolist() + E_range = self.figure_result_data['E'].values.tolist() + ME_range = self.figure_result_data['ME'].values.tolist() + + # reshape the design criteria values for heatmaps + cri_a = np.asarray(A_range).reshape(len(x_range), len(y_range)) + cri_d = np.asarray(D_range).reshape(len(x_range), len(y_range)) + cri_e = np.asarray(E_range).reshape(len(x_range), len(y_range)) + cri_e_cond = np.asarray(ME_range).reshape(len(x_range), len(y_range)) + self.cri_a = cri_a + self.cri_d = cri_d + self.cri_e = cri_e + self.cri_e_cond = cri_e_cond + + # decide if log scaled if log_scale: hes_a = np.log10(self.cri_a) hes_e = np.log10(self.cri_e) @@ -1723,9 +1883,11 @@ def heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick= hes_d = self.cri_d hes_e2 = self.cri_e_cond - xLabel = self.dv_ranges[self.dv_names[0]] - yLabel = self.dv_ranges[self.dv_names[1]] + # set heatmap x,y ranges + xLabel = x_range + yLabel = y_range + # A-optimality fig = plt.figure() plt.rc('axes', titlesize=font_axes) plt.rc('axes', labelsize=font_axes) @@ -1746,6 +1908,7 @@ def heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick= plt.title(title_text + ' - A optimality') plt.show() + # D-optimality fig = plt.figure() plt.rc('axes', titlesize=font_axes) plt.rc('axes', labelsize=font_axes) @@ -1766,6 +1929,7 @@ def heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick= plt.title(title_text + ' - D optimality') plt.show() + # E-optimality fig = plt.figure() plt.rc('axes', titlesize=font_axes) plt.rc('axes', labelsize=font_axes) @@ -1786,6 +1950,7 @@ def heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick= plt.title(title_text + ' - E optimality') plt.show() + # modified E-optimality fig = plt.figure() plt.rc('axes', titlesize=font_axes) plt.rc('axes', labelsize=font_axes) @@ -1805,6 +1970,7 @@ def heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick= ba.set_label('log10(cond(FIM))') plt.title(title_text + ' - Modified E-optimality') plt.show() + def sgn(p): ''' diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 3f950d5001f..21638e6b986 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -29,6 +29,7 @@ "import numpy as np\n", "from scipy.interpolate import interp2d\n", "import pandas as pd \n", + "from itertools import permutations, product, combinations\n", "\n", "from DoE_package import *\n", "from pyomo.contrib.sensitivity_toolbox.sens import sipopt" @@ -134,8 +135,8 @@ "outputs": [], "source": [ "# choose model from 'dynamic-DAE', 'constant-DAE', 'constant-analytical'\n", - "#model_opt = 'dynamic-DAE'\n", - "model_opt = 'constant-DAE'\n", + "model_opt = 'dynamic-DAE'\n", + "#model_opt = 'constant-DAE'\n", "#model_opt = 'constant-analytical'\n", "\n", "if (model_opt=='dynamic-DAE'):\n", @@ -245,18 +246,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "d3ee5ff9", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Design variable: {'CA0': {0: 5}, 'T': {0: 500}}\n" - ] - } - ], + "outputs": [], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", @@ -275,1022 +268,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "latin-medicare", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 83.94294994963053\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.32e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", - " 6r 0.0000000e+00 6.27e+01 4.14e+04 2.1 1.36e+04 - 5.51e-03 1.68e-03f 1\n", - " 7r 0.0000000e+00 3.77e+01 3.84e+04 2.1 8.47e+03 - 2.59e-02 2.98e-03f 1\n", - " 8r 0.0000000e+00 1.23e+01 3.04e+04 2.1 2.04e+03 - 7.70e-02 1.58e-02f 1\n", - " 9r 0.0000000e+00 6.95e+00 2.51e+04 2.1 1.58e+02 - 7.89e-02 3.61e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.36e+00 1.91e+04 2.1 1.29e+02 - 8.70e-02 3.81e-02f 1\n", - " 11r 0.0000000e+00 4.07e+00 1.30e+04 2.1 1.12e+02 - 1.61e-01 7.19e-02f 1\n", - " 12r 0.0000000e+00 2.88e+00 1.26e+04 2.1 8.59e+01 - 2.27e-01 1.45e-01f 1\n", - " 13r 0.0000000e+00 2.43e+00 9.79e+03 2.1 4.45e+01 - 4.32e-01 1.93e-01f 1\n", - " 14r 0.0000000e+00 9.18e-01 5.66e+03 2.1 2.89e+01 - 7.42e-01 3.43e-01f 1\n", - " 15r 0.0000000e+00 2.48e-01 1.40e+03 1.4 3.34e+00 - 1.00e+00 6.63e-01f 1\n", - " 16r 0.0000000e+00 1.75e-01 7.36e+02 0.7 2.72e+00 - 1.00e+00 5.59e-01f 1\n", - " 17r 0.0000000e+00 7.10e-02 3.14e+02 0.7 5.50e+00 - 8.75e-01 7.53e-01f 1\n", - " 18r 0.0000000e+00 5.51e-02 1.72e+00 0.7 1.08e+00 - 1.00e+00 1.00e+00f 1\n", - " 19r 0.0000000e+00 5.39e-02 6.00e+02 -1.4 9.36e-01 - 9.96e-01 6.76e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.79e-02 2.20e+03 -1.4 3.28e+01 - 7.77e-01 1.01e-01f 1\n", - " 21r 0.0000000e+00 2.41e-02 2.69e+03 -1.4 2.22e+01 - 1.00e+00 1.65e-01f 1\n", - " 22r 0.0000000e+00 4.56e-03 1.92e+03 -1.4 1.58e+01 - 1.00e+00 3.64e-01f 1\n", - " 23r 0.0000000e+00 2.64e-03 1.94e+03 -1.4 3.17e+00 - 1.00e+00 1.33e-01f 1\n", - " 24r 0.0000000e+00 5.11e-04 5.21e+02 -1.4 8.72e-01 - 1.00e+00 7.74e-01f 1\n", - " 25r 0.0000000e+00 6.08e-05 8.04e-01 -1.4 1.96e-01 - 1.00e+00 1.00e+00f 1\n", - " 26r 0.0000000e+00 1.97e-05 5.12e+01 -2.1 1.91e-02 - 1.00e+00 9.90e-01f 1\n", - " 27r 0.0000000e+00 1.44e-06 1.24e-05 -2.1 4.83e-03 - 1.00e+00 1.00e+00f 1\n", - " 28r 0.0000000e+00 5.59e-07 2.23e+01 -4.8 6.16e-04 - 1.00e+00 9.66e-01f 1\n", - " 29r 0.0000000e+00 8.87e-08 3.70e+01 -4.8 5.48e-05 - 1.00e+00 8.41e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.38e-10 1.82e-09 -4.8 3.23e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 30\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.3815883426768778e-10 3.3815883426768778e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.3815883426768778e-10 3.3815883426768778e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 37\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 37\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 32\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 30\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.031\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: \n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3371\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 677\n", - "\n", - "Total number of variables............................: 873\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 873\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 4.33e-01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 3.87e-03 1.30e-02 -1.0 9.99e-03 - 9.90e-01 9.91e-01h 1\n", - " 2 0.0000000e+00 2.52e-13 7.04e-03 -1.0 8.93e-05 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 2\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5409865726850915e-13 2.5224267119483557e-13\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5409865726850915e-13 2.5224267119483557e-13\n", - "\n", - "\n", - "Number of objective function evaluations = 3\n", - "Number of objective gradient evaluations = 3\n", - "Number of equality constraint evaluations = 3\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 3\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 2\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", - "Pass the option square_override for the desired behaviour\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", - "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", - "W[K_AUG]...\t[MA57_DRIVER]\n", - "\n", - "\t\tCould not fix the accuracy of the problem.\n", - "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", - "\t\tWarning: results might be incorrect.\n", - "\t\tCurrent residual ratio 0.0179215; Max residual ratio 1e-10.\n", - "\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 873\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 873\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 873, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3371\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 677\n", - "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", - "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", - "I[MA57]...\t[]***\n", - " Runtime parameters:\n", - " Objective type: METIS_OBJTYPE_CUT\n", - " Coarsening type: Unknown!\n", - " Initial partitioning type: Unknown!\n", - " Refinement type: Unknown!\n", - " Perform a 2-hop matching: No\n", - " Number of balancing constraints: 1\n", - " Number of refinement iterations: 69862044\n", - " Random number seed: 0\n", - " Number of separators: 32767\n", - " Compress graph prior to ordering: No\n", - " Detect & order connected components separately: No\n", - " Prunning factor for high degree vertices: 54009036.000000\n", - " Allowed maximum load imbalance: 1.515 \n", - "\n", - "Input Error: Incorrect objective type.\n", - " nbrpool statistics\n", - " nbrpoolsize: 0 nbrpoolcpos: 0\n", - " nbrpoolreallocs: 0\n", - "\n", - "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[Factorize Success.]***\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 1.792152e-02 \n", - "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", - "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", - "\n", - "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.01792151635817971.\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", - "\n", - "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=873, (neig == m).\n", - "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", - "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.007081, Fact 0.010227, Overall 0.012088.\n", - "dsdp_mode=\n", - "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", - "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", - "I[[DOT_SENS]]...\t[MAIN]Number of variables 873\n", - "I[[DOT_SENS]]...\t[MAIN]Number of constraints 873\n", - "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1746\n", - "\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", - "\n", - "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", - "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", - "I[[DOT_SENS]]...\t[MAIN]Timing..0.007889 sec.\n", - "[[5.0, 0.9933018558458468, 0.19727881170974426, 0.03917158171904774, 0.007776006124592593, 0.0015432635510459563, 0.00030621374359793334, 6.074538004907332e-05, 1.2047824023133177e-05, 0.0, 1.9437621671106124, 0.9458180075350645, 0.34902159055285514, 0.11572124878848786, 0.036342246867521764, 0.011063841513150425, 0.0033046064316058616, 0.0009750944905482879, 0.0, 2.0629359770435407, 3.8569031807551912, 4.611806827728097, 4.87650274508692, 4.962114489581432, 4.988629944743252, 4.996634648188345, 4.999012857685428]]\n", - "[[4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791]]\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 368.0005567983665\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.32e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", - " 6r 0.0000000e+00 6.27e+01 4.14e+04 2.1 1.36e+04 - 5.51e-03 1.68e-03f 1\n", - " 7r 0.0000000e+00 3.77e+01 3.84e+04 2.1 8.47e+03 - 2.59e-02 2.98e-03f 1\n", - " 8r 0.0000000e+00 1.23e+01 3.04e+04 2.1 2.04e+03 - 7.70e-02 1.58e-02f 1\n", - " 9r 0.0000000e+00 6.95e+00 2.51e+04 2.1 1.58e+02 - 7.89e-02 3.61e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.36e+00 1.91e+04 2.1 1.29e+02 - 8.70e-02 3.81e-02f 1\n", - " 11r 0.0000000e+00 4.07e+00 1.30e+04 2.1 1.12e+02 - 1.61e-01 7.19e-02f 1\n", - " 12r 0.0000000e+00 2.88e+00 1.26e+04 2.1 8.59e+01 - 2.27e-01 1.45e-01f 1\n", - " 13r 0.0000000e+00 2.43e+00 9.79e+03 2.1 4.45e+01 - 4.32e-01 1.93e-01f 1\n", - " 14r 0.0000000e+00 9.18e-01 5.66e+03 2.1 2.89e+01 - 7.42e-01 3.43e-01f 1\n", - " 15r 0.0000000e+00 2.48e-01 1.40e+03 1.4 3.34e+00 - 1.00e+00 6.63e-01f 1\n", - " 16r 0.0000000e+00 1.75e-01 7.36e+02 0.7 2.72e+00 - 1.00e+00 5.59e-01f 1\n", - " 17r 0.0000000e+00 7.10e-02 3.14e+02 0.7 5.50e+00 - 8.75e-01 7.53e-01f 1\n", - " 18r 0.0000000e+00 5.51e-02 1.72e+00 0.7 1.08e+00 - 1.00e+00 1.00e+00f 1\n", - " 19r 0.0000000e+00 5.39e-02 6.00e+02 -1.4 9.36e-01 - 9.96e-01 6.76e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.79e-02 2.20e+03 -1.4 3.28e+01 - 7.77e-01 1.01e-01f 1\n", - " 21r 0.0000000e+00 2.41e-02 2.69e+03 -1.4 2.22e+01 - 1.00e+00 1.65e-01f 1\n", - " 22r 0.0000000e+00 4.56e-03 1.92e+03 -1.4 1.58e+01 - 1.00e+00 3.64e-01f 1\n", - " 23r 0.0000000e+00 2.64e-03 1.94e+03 -1.4 3.17e+00 - 1.00e+00 1.33e-01f 1\n", - " 24r 0.0000000e+00 5.11e-04 5.21e+02 -1.4 8.72e-01 - 1.00e+00 7.74e-01f 1\n", - " 25r 0.0000000e+00 6.08e-05 8.04e-01 -1.4 1.96e-01 - 1.00e+00 1.00e+00f 1\n", - " 26r 0.0000000e+00 1.97e-05 5.12e+01 -2.1 1.91e-02 - 1.00e+00 9.90e-01f 1\n", - " 27r 0.0000000e+00 1.44e-06 1.24e-05 -2.1 4.83e-03 - 1.00e+00 1.00e+00f 1\n", - " 28r 0.0000000e+00 5.59e-07 2.23e+01 -4.8 6.16e-04 - 1.00e+00 9.66e-01f 1\n", - " 29r 0.0000000e+00 8.87e-08 3.70e+01 -4.8 5.48e-05 - 1.00e+00 8.41e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.38e-10 1.82e-09 -4.8 3.23e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 30\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.3815883426768778e-10 3.3815883426768778e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.3815883426768778e-10 3.3815883426768778e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 37\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 37\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 32\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 30\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.030\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: \n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3371\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 677\n", - "\n", - "Total number of variables............................: 873\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 873\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 4.33e-01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 3.87e-03 1.30e-02 -1.0 9.99e-03 - 9.90e-01 9.91e-01h 1\n", - " 2 0.0000000e+00 2.52e-13 7.04e-03 -1.0 8.93e-05 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 2\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5409865726850915e-13 2.5224267119483557e-13\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5409865726850915e-13 2.5224267119483557e-13\n", - "\n", - "\n", - "Number of objective function evaluations = 3\n", - "Number of objective gradient evaluations = 3\n", - "Number of equality constraint evaluations = 3\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 3\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 2\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", - "Pass the option square_override for the desired behaviour\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", - "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", - "W[K_AUG]...\t[MA57_DRIVER]\n", - "\n", - "\t\tCould not fix the accuracy of the problem.\n", - "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", - "\t\tWarning: results might be incorrect.\n", - "\t\tCurrent residual ratio 0.0179215; Max residual ratio 1e-10.\n", - "\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 873\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 873\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 873, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3371\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 677\n", - "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", - "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", - "I[MA57]...\t[]***\n", - " Runtime parameters:\n", - " Objective type: METIS_OBJTYPE_CUT\n", - " Coarsening type: Unknown!\n", - " Initial partitioning type: Unknown!\n", - " Refinement type: Unknown!\n", - " Perform a 2-hop matching: No\n", - " Number of balancing constraints: 1\n", - " Number of refinement iterations: 504705692\n", - " Random number seed: 0\n", - " Number of separators: 32767\n", - " Compress graph prior to ordering: No\n", - " Detect & order connected components separately: No\n", - " Prunning factor for high degree vertices: 54009036.000000\n", - " Allowed maximum load imbalance: 1.515 \n", - "\n", - "Input Error: Incorrect objective type.\n", - " nbrpool statistics\n", - " nbrpoolsize: 0 nbrpoolcpos: 0\n", - " nbrpoolreallocs: 0\n", - "\n", - "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[Factorize Success.]***\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 1.792152e-02 \n", - "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", - "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", - "\n", - "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.01792151635817971.\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", - "\n", - "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=873, (neig == m).\n", - "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", - "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.006856, Fact 0.010286, Overall 0.012029.\n", - "dsdp_mode=\n", - "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", - "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", - "I[[DOT_SENS]]...\t[MAIN]Number of variables 873\n", - "I[[DOT_SENS]]...\t[MAIN]Number of constraints 873\n", - "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1746\n", - "\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", - "\n", - "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", - "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", - "I[[DOT_SENS]]...\t[MAIN]Timing..0.008504 sec.\n", - "[[5.0, 0.9933018558458468, 0.19727881170974426, 0.03917158171904774, 0.007776006124592593, 0.0015432635510459563, 0.00030621374359793334, 6.074538004907332e-05, 1.2047824023133177e-05, 0.0, 1.9437621671106124, 0.9458180075350645, 0.34902159055285514, 0.11572124878848786, 0.036342246867521764, 0.011063841513150425, 0.0033046064316058616, 0.0009750944905482879, 0.0, 2.0629359770435407, 3.8569031807551912, 4.611806827728097, 4.87650274508692, 4.962114489581432, 4.988629944743252, 4.996634648188345, 4.999012857685428], [5.0, 0.9773482268517311, 0.1910419113060445, 0.037342894653865644, 0.007299402375093316, 0.0014268115936749552, 0.00027889835622594433, 5.451616278585652e-05, 1.0656255006703885e-05, 0.0, 1.9612777312664234, 0.9550527412634068, 0.35329565100851446, 0.11760905404060082, 0.03713453638350285, 0.011379507458753619, 0.003424653356455482, 0.0010189910505045605, 0.0, 2.061374041881846, 3.8539053474305485, 4.60936145433762, 4.875091543584306, 4.961438652022823, 4.98834159418502, 4.996520830480758, 4.998970352694488]]\n", - "[[4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791]]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.699261707746163\n", - "E2_pert : 15.047135137500822\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.32e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", - " 6r 0.0000000e+00 6.27e+01 4.14e+04 2.1 1.36e+04 - 5.51e-03 1.68e-03f 1\n", - " 7r 0.0000000e+00 3.77e+01 3.84e+04 2.1 8.47e+03 - 2.59e-02 2.98e-03f 1\n", - " 8r 0.0000000e+00 1.23e+01 3.04e+04 2.1 2.04e+03 - 7.70e-02 1.58e-02f 1\n", - " 9r 0.0000000e+00 6.95e+00 2.51e+04 2.1 1.58e+02 - 7.89e-02 3.61e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.36e+00 1.91e+04 2.1 1.29e+02 - 8.70e-02 3.81e-02f 1\n", - " 11r 0.0000000e+00 4.07e+00 1.30e+04 2.1 1.12e+02 - 1.61e-01 7.19e-02f 1\n", - " 12r 0.0000000e+00 2.88e+00 1.26e+04 2.1 8.59e+01 - 2.27e-01 1.45e-01f 1\n", - " 13r 0.0000000e+00 2.43e+00 9.79e+03 2.1 4.45e+01 - 4.32e-01 1.93e-01f 1\n", - " 14r 0.0000000e+00 9.18e-01 5.66e+03 2.1 2.89e+01 - 7.42e-01 3.43e-01f 1\n", - " 15r 0.0000000e+00 2.48e-01 1.40e+03 1.4 3.34e+00 - 1.00e+00 6.63e-01f 1\n", - " 16r 0.0000000e+00 1.75e-01 7.36e+02 0.7 2.72e+00 - 1.00e+00 5.59e-01f 1\n", - " 17r 0.0000000e+00 7.10e-02 3.14e+02 0.7 5.50e+00 - 8.75e-01 7.53e-01f 1\n", - " 18r 0.0000000e+00 5.51e-02 1.72e+00 0.7 1.08e+00 - 1.00e+00 1.00e+00f 1\n", - " 19r 0.0000000e+00 5.39e-02 6.00e+02 -1.4 9.36e-01 - 9.96e-01 6.76e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.79e-02 2.20e+03 -1.4 3.28e+01 - 7.77e-01 1.01e-01f 1\n", - " 21r 0.0000000e+00 2.41e-02 2.69e+03 -1.4 2.22e+01 - 1.00e+00 1.65e-01f 1\n", - " 22r 0.0000000e+00 4.56e-03 1.92e+03 -1.4 1.58e+01 - 1.00e+00 3.64e-01f 1\n", - " 23r 0.0000000e+00 2.64e-03 1.94e+03 -1.4 3.17e+00 - 1.00e+00 1.33e-01f 1\n", - " 24r 0.0000000e+00 5.11e-04 5.21e+02 -1.4 8.72e-01 - 1.00e+00 7.74e-01f 1\n", - " 25r 0.0000000e+00 6.08e-05 8.04e-01 -1.4 1.96e-01 - 1.00e+00 1.00e+00f 1\n", - " 26r 0.0000000e+00 1.97e-05 5.12e+01 -2.1 1.91e-02 - 1.00e+00 9.90e-01f 1\n", - " 27r 0.0000000e+00 1.44e-06 1.24e-05 -2.1 4.83e-03 - 1.00e+00 1.00e+00f 1\n", - " 28r 0.0000000e+00 5.59e-07 2.23e+01 -4.8 6.16e-04 - 1.00e+00 9.66e-01f 1\n", - " 29r 0.0000000e+00 8.87e-08 3.70e+01 -4.8 5.48e-05 - 1.00e+00 8.41e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.38e-10 1.82e-09 -4.8 3.23e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 30\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.3815883426768778e-10 3.3815883426768778e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.3815883426768778e-10 3.3815883426768778e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 37\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 37\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 32\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 30\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.032\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: \n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3371\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 677\n", - "\n", - "Total number of variables............................: 873\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 873\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 4.33e-01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 3.87e-03 1.30e-02 -1.0 9.99e-03 - 9.90e-01 9.91e-01h 1\n", - " 2 0.0000000e+00 2.52e-13 7.04e-03 -1.0 8.93e-05 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 2\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5409865726850915e-13 2.5224267119483557e-13\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5409865726850915e-13 2.5224267119483557e-13\n", - "\n", - "\n", - "Number of objective function evaluations = 3\n", - "Number of objective gradient evaluations = 3\n", - "Number of equality constraint evaluations = 3\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 3\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 2\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", - "Pass the option square_override for the desired behaviour\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", - "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", - "W[K_AUG]...\t[MA57_DRIVER]\n", - "\n", - "\t\tCould not fix the accuracy of the problem.\n", - "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", - "\t\tWarning: results might be incorrect.\n", - "\t\tCurrent residual ratio 0.0179215; Max residual ratio 1e-10.\n", - "\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 873\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 873\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 873, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3371\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 677\n", - "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", - "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", - "I[MA57]...\t[]***\n", - " Runtime parameters:\n", - " Objective type: METIS_OBJTYPE_CUT\n", - " Coarsening type: Unknown!\n", - " Initial partitioning type: Unknown!\n", - " Refinement type: Unknown!\n", - " Perform a 2-hop matching: No\n", - " Number of balancing constraints: 1\n", - " Number of refinement iterations: 250802844\n", - " Random number seed: 0\n", - " Number of separators: 32767\n", - " Compress graph prior to ordering: No\n", - " Detect & order connected components separately: No\n", - " Prunning factor for high degree vertices: 54009036.000000\n", - " Allowed maximum load imbalance: 1.515 \n", - "\n", - "Input Error: Incorrect objective type.\n", - " nbrpool statistics\n", - " nbrpoolsize: 0 nbrpoolcpos: 0\n", - " nbrpoolreallocs: 0\n", - "\n", - "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[Factorize Success.]***\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 1.792152e-02 \n", - "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", - "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", - "\n", - "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.01792151635817971.\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", - "\n", - "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=873, (neig == m).\n", - "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", - "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.006591, Fact 0.009735, Overall 0.011547.\n", - "dsdp_mode=\n", - "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", - "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", - "I[[DOT_SENS]]...\t[MAIN]Number of variables 873\n", - "I[[DOT_SENS]]...\t[MAIN]Number of constraints 873\n", - "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1746\n", - "\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", - "\n", - "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", - "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", - "I[[DOT_SENS]]...\t[MAIN]Timing..0.007404 sec.\n", - "[[5.0, 0.9933018558458468, 0.19727881170974426, 0.03917158171904774, 0.007776006124592593, 0.0015432635510459563, 0.00030621374359793334, 6.074538004907332e-05, 1.2047824023133177e-05, 0.0, 1.9437621671106124, 0.9458180075350645, 0.34902159055285514, 0.11572124878848786, 0.036342246867521764, 0.011063841513150425, 0.0033046064316058616, 0.0009750944905482879, 0.0, 2.0629359770435407, 3.8569031807551912, 4.611806827728097, 4.87650274508692, 4.962114489581432, 4.988629944743252, 4.996634648188345, 4.999012857685428], [5.0, 0.9773482268517311, 0.1910419113060445, 0.037342894653865644, 0.007299402375093316, 0.0014268115936749552, 0.00027889835622594433, 5.451616278585652e-05, 1.0656255006703885e-05, 0.0, 1.9612777312664234, 0.9550527412634068, 0.35329565100851446, 0.11760905404060082, 0.03713453638350285, 0.011379507458753619, 0.003424653356455482, 0.0010189910505045605, 0.0, 2.061374041881846, 3.8539053474305485, 4.60936145433762, 4.875091543584306, 4.961438652022823, 4.98834159418502, 4.996520830480758, 4.998970352694488], [5.0, 0.9475033915692679, 0.17937439256844556, 0.0339219260288802, 0.00640780834316137, 0.0012089621321298826, 0.00022779880783513963, 4.286301708289999e-05, 8.053013568981949e-06, 0.0, 1.9569826464949052, 0.9343622492442549, 0.33925146422635427, 0.11096128639970089, 0.03445789176948576, 0.010394795630838992, 0.0030821536141597103, 0.0009042209607086725, 0.0, 2.095513961935827, 3.8862633581872994, 4.626826609744765, 4.882630905257138, 4.964333146098385, 4.989377405561326, 4.996874983368757, 4.999087726025722]]\n", - "[[4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791]]\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 14.896663786125814\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", - "\n", - "Total number of variables............................: 869\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.32e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", - " 6r 0.0000000e+00 6.27e+01 4.14e+04 2.1 1.36e+04 - 5.51e-03 1.68e-03f 1\n", - " 7r 0.0000000e+00 3.77e+01 3.84e+04 2.1 8.47e+03 - 2.59e-02 2.98e-03f 1\n", - " 8r 0.0000000e+00 1.23e+01 3.04e+04 2.1 2.04e+03 - 7.70e-02 1.58e-02f 1\n", - " 9r 0.0000000e+00 6.95e+00 2.51e+04 2.1 1.58e+02 - 7.89e-02 3.61e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.36e+00 1.91e+04 2.1 1.29e+02 - 8.70e-02 3.81e-02f 1\n", - " 11r 0.0000000e+00 4.07e+00 1.30e+04 2.1 1.12e+02 - 1.61e-01 7.19e-02f 1\n", - " 12r 0.0000000e+00 2.88e+00 1.26e+04 2.1 8.59e+01 - 2.27e-01 1.45e-01f 1\n", - " 13r 0.0000000e+00 2.43e+00 9.79e+03 2.1 4.45e+01 - 4.32e-01 1.93e-01f 1\n", - " 14r 0.0000000e+00 9.18e-01 5.66e+03 2.1 2.89e+01 - 7.42e-01 3.43e-01f 1\n", - " 15r 0.0000000e+00 2.48e-01 1.40e+03 1.4 3.34e+00 - 1.00e+00 6.63e-01f 1\n", - " 16r 0.0000000e+00 1.75e-01 7.36e+02 0.7 2.72e+00 - 1.00e+00 5.59e-01f 1\n", - " 17r 0.0000000e+00 7.10e-02 3.14e+02 0.7 5.50e+00 - 8.75e-01 7.53e-01f 1\n", - " 18r 0.0000000e+00 5.51e-02 1.72e+00 0.7 1.08e+00 - 1.00e+00 1.00e+00f 1\n", - " 19r 0.0000000e+00 5.39e-02 6.00e+02 -1.4 9.36e-01 - 9.96e-01 6.76e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.79e-02 2.20e+03 -1.4 3.28e+01 - 7.77e-01 1.01e-01f 1\n", - " 21r 0.0000000e+00 2.41e-02 2.69e+03 -1.4 2.22e+01 - 1.00e+00 1.65e-01f 1\n", - " 22r 0.0000000e+00 4.56e-03 1.92e+03 -1.4 1.58e+01 - 1.00e+00 3.64e-01f 1\n", - " 23r 0.0000000e+00 2.64e-03 1.94e+03 -1.4 3.17e+00 - 1.00e+00 1.33e-01f 1\n", - " 24r 0.0000000e+00 5.11e-04 5.21e+02 -1.4 8.72e-01 - 1.00e+00 7.74e-01f 1\n", - " 25r 0.0000000e+00 6.08e-05 8.04e-01 -1.4 1.96e-01 - 1.00e+00 1.00e+00f 1\n", - " 26r 0.0000000e+00 1.97e-05 5.12e+01 -2.1 1.91e-02 - 1.00e+00 9.90e-01f 1\n", - " 27r 0.0000000e+00 1.44e-06 1.24e-05 -2.1 4.83e-03 - 1.00e+00 1.00e+00f 1\n", - " 28r 0.0000000e+00 5.59e-07 2.23e+01 -4.8 6.16e-04 - 1.00e+00 9.66e-01f 1\n", - " 29r 0.0000000e+00 8.87e-08 3.70e+01 -4.8 5.48e-05 - 1.00e+00 8.41e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.38e-10 1.82e-09 -4.8 3.23e-05 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 30\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.3815883426768778e-10 3.3815883426768778e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.3815883426768778e-10 3.3815883426768778e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 37\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 37\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 32\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 30\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.031\n", - "Total CPU secs in NLP function evaluations = 0.003\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: \n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3371\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 677\n", - "\n", - "Total number of variables............................: 873\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 873\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 4.33e-01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 3.87e-03 1.30e-02 -1.0 9.99e-03 - 9.90e-01 9.91e-01h 1\n", - " 2 0.0000000e+00 2.52e-13 7.04e-03 -1.0 8.93e-05 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 2\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5409865726850915e-13 2.5224267119483557e-13\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5409865726850915e-13 2.5224267119483557e-13\n", - "\n", - "\n", - "Number of objective function evaluations = 3\n", - "Number of objective gradient evaluations = 3\n", - "Number of equality constraint evaluations = 3\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 3\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 2\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", - "Pass the option square_override for the desired behaviour\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", - "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", - "W[K_AUG]...\t[MA57_DRIVER]\n", - "\n", - "\t\tCould not fix the accuracy of the problem.\n", - "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", - "\t\tWarning: results might be incorrect.\n", - "\t\tCurrent residual ratio 0.0179215; Max residual ratio 1e-10.\n", - "\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 873\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 873\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 873, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3371\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 677\n", - "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", - "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", - "I[MA57]...\t[]***\n", - " Runtime parameters:\n", - " Objective type: METIS_OBJTYPE_CUT\n", - " Coarsening type: Unknown!\n", - " Initial partitioning type: Unknown!\n", - " Refinement type: Unknown!\n", - " Perform a 2-hop matching: No\n", - " Number of balancing constraints: 1\n", - " Number of refinement iterations: 283943580\n", - " Random number seed: 0\n", - " Number of separators: 32767\n", - " Compress graph prior to ordering: No\n", - " Detect & order connected components separately: No\n", - " Prunning factor for high degree vertices: 54009036.000000\n", - " Allowed maximum load imbalance: 1.515 \n", - "\n", - "Input Error: Incorrect objective type.\n", - " nbrpool statistics\n", - " nbrpoolsize: 0 nbrpoolcpos: 0\n", - " nbrpoolreallocs: 0\n", - "\n", - "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[Factorize Success.]***\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 1.792152e-02 \n", - "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", - "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", - "\n", - "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 873\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.01792151635817971.\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", - "\n", - "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=873, (neig == m).\n", - "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", - "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.006584, Fact 0.009966, Overall 0.011808.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "dsdp_mode=\n", - "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", - "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", - "I[[DOT_SENS]]...\t[MAIN]Number of variables 873\n", - "I[[DOT_SENS]]...\t[MAIN]Number of constraints 873\n", - "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1746\n", - "\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", - "\n", - "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", - "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", - "I[[DOT_SENS]]...\t[MAIN]Timing..0.007705 sec.\n", - "[[5.0, 0.9933018558458468, 0.19727881170974426, 0.03917158171904774, 0.007776006124592593, 0.0015432635510459563, 0.00030621374359793334, 6.074538004907332e-05, 1.2047824023133177e-05, 0.0, 1.9437621671106124, 0.9458180075350645, 0.34902159055285514, 0.11572124878848786, 0.036342246867521764, 0.011063841513150425, 0.0033046064316058616, 0.0009750944905482879, 0.0, 2.0629359770435407, 3.8569031807551912, 4.611806827728097, 4.87650274508692, 4.962114489581432, 4.988629944743252, 4.996634648188345, 4.999012857685428], [5.0, 0.9773482268517311, 0.1910419113060445, 0.037342894653865644, 0.007299402375093316, 0.0014268115936749552, 0.00027889835622594433, 5.451616278585652e-05, 1.0656255006703885e-05, 0.0, 1.9612777312664234, 0.9550527412634068, 0.35329565100851446, 0.11760905404060082, 0.03713453638350285, 0.011379507458753619, 0.003424653356455482, 0.0010189910505045605, 0.0, 2.061374041881846, 3.8539053474305485, 4.60936145433762, 4.875091543584306, 4.961438652022823, 4.98834159418502, 4.996520830480758, 4.998970352694488], [5.0, 0.9475033915692679, 0.17937439256844556, 0.0339219260288802, 0.00640780834316137, 0.0012089621321298826, 0.00022779880783513963, 4.286301708289999e-05, 8.053013568981949e-06, 0.0, 1.9569826464949052, 0.9343622492442549, 0.33925146422635427, 0.11096128639970089, 0.03445789176948576, 0.010394795630838992, 0.0030821536141597103, 0.0009042209607086725, 0.0, 2.095513961935827, 3.8862633581872994, 4.626826609744765, 4.882630905257138, 4.964333146098385, 4.989377405561326, 4.996874983368757, 4.999087726025722], [5.0, 0.9773482268517311, 0.1910419113060445, 0.037342894653865574, 0.00729940237509331, 0.001426811593674966, 0.0002788983562259393, 5.451616278585405e-05, 1.0656255006700197e-05, 0.0, 1.901638547578657, 0.8939584417613551, 0.31782970877136485, 0.10122868942481285, 0.03044228329266501, 0.00884467124592834, 0.002512129123869173, 0.0007021623084177593, 0.0, 2.121013225569612, 3.9149996469326003, 4.64482739657477, 4.891471908200094, 4.96813090511366, 4.9908764303978455, 4.997433354713345, 4.999287181436575]]\n", - "[[4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791], [4.999999999949345, 0.977348226842264, 0.1910419113043667, 0.03734289465364443, 0.0072994023751111895, 0.0014268115937247363, 0.0002788983563069232, 5.451616296288408e-05, 1.065625521479057e-05, 0.0, 1.9483674442886403, 0.9418274606701189, 0.3456182237970908, 0.11406314353936567, 0.035685842714873114, 0.010830783266472615, 0.0032271162850003423, 0.0009504061083739161, 0.0, 2.074284328828681, 3.8671306280089435, 4.617038881543715, 4.87863745408422, 4.962887345691725, 4.988890318378148, 4.996718367553195, 4.999038937657791]]\n", - "Existed information has been added.\n", - "FIM: [[ 34.82842589 8.98465166 -93.24075867 -36.95321692]\n", - " [ 8.98465166 34.7202196 -19.1006792 -169.32118934]\n", - " [ -93.24075867 -19.1006792 261.98359163 82.95164756]\n", - " [ -36.95321692 -169.32118934 82.95164756 876.13524366]]\n", - "Trace: 1207.667480785029\n", - "Determinant: 560758.4864955288\n", - "Condition number: 1016.6982929867096\n", - "Minimal eigen value: 0.9075848733938492\n", - "Eigen values: [9.22739992e+02 2.81642456e+02 9.07584873e-01 2.37744862e+00]\n", - "Eigen vectors: [[ 0.05653299 -0.32983836 -0.77051799 0.54250595]\n", - " [ 0.1886326 0.01601913 0.56994741 0.79957556]\n", - " [-0.13533434 0.9325324 -0.26619805 0.20299395]\n", - " [-0.97103366 -0.14605948 0.10295907 0.15861803]]\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -1304,29 +287,16 @@ "if sensi_opt == 'simultaneous_finite':\n", " result.extract_FIM(doe_object.m, doe_object.design_timeset,\n", " doe_object.square_result, doe_object.obj_opt)\n", - "else:\n", + "else: \n", " result.calculate_FIM(doe_object.jac, doe_object.design_values)" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "64fc6da4", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "======Result summary======\n", - "Four design criteria log10() value:\n", - "A-optimality: 3.081947372083569\n", - "D-optimality: 5.748775854899303\n", - "E-optimality: -0.04211275105982819\n", - "Modified E-optimality: 3.0071920943871038\n" - ] - } - ], + "outputs": [], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", @@ -1517,6 +487,775 @@ "## heatmap " ] }, + { + "cell_type": "code", + "execution_count": 6, + "id": "fd29291f", + "metadata": {}, + "outputs": [], + "source": [ + "design_ranges = [list(np.linspace(1,5,5)), list(np.linspace(300,700,5))]\n", + "\n", + "dv_apply_name = ['CA0','T']\n", + "\n", + "dv_apply_time = [[0],t_control]\n", + "\n", + "# Define experiments\n", + "if (model_opt=='dynamic-DAE'):\n", + " exp1 = generate_exp(t_control, 5, [570.21, 300, 300, 300, 300, 300, 300, 300, 300])\n", + "else: \n", + " exp1 = generate_exp(t_control, 5, [500])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "bcb267e1", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "25 design vectors will be searched.\n", + "=======This is the 1 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", + " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", + " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", + " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", + "Trace: 1099.5362969973296\n", + "Determinant: 151638.49432111066\n", + "Condition number: 1703.570882096611\n", + "Minimal eigen value: 0.48581739042098304\n", + "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", + "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", + " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", + " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", + " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", + "This is the 1 run out of 25 run.\n", + "The code has run 1.1220 seconds.\n", + "Estimated remaining time: 26.9270 seconds\n", + "=======This is the 2 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.13959316 5.68057604 -82.81396637 -25.2366608 ]\n", + " [ 5.68057604 27.27296764 -13.04504069 -143.14725329]\n", + " [ -82.81396637 -13.04504069 242.98173468 61.60044794]\n", + " [ -25.2366608 -143.14725329 61.60044794 784.93406 ]]\n", + "Trace: 1084.3283554734471\n", + "Determinant: 152039.07825006053\n", + "Condition number: 1641.205191246031\n", + "Minimal eigen value: 0.499335727810474\n", + "Eigen values: [8.19512389e+02 2.62903408e+02 4.99335728e-01 1.41322349e+00]\n", + "Eigen vectors: [[ 0.04447521 -0.31931057 -0.77803254 0.53919206]\n", + " [ 0.17859423 0.01458837 0.56323502 0.80663349]\n", + " [-0.11473313 0.93961044 -0.26036328 0.19020907]\n", + " [-0.97619791 -0.12231173 0.09819695 0.14978263]]\n", + "This is the 2 run out of 25 run.\n", + "The code has run 2.4107 seconds.\n", + "Estimated remaining time: 27.7228 seconds\n", + "=======This is the 3 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.92490828 5.55538372 -82.19690665 -24.54095095]\n", + " [ 5.55538372 26.74178551 -12.68546548 -140.44317569]\n", + " [ -82.19690665 -12.68546548 241.3235927 59.73172415]\n", + " [ -24.54095095 -140.44317569 59.73172415 771.61101463]]\n", + "Trace: 1068.601301120078\n", + "Determinant: 151629.20410746612\n", + "Condition number: 1602.4379558666174\n", + "Minimal eigen value: 0.5025670283249084\n", + "Eigen values: [8.05332482e+02 2.61332679e+02 5.02567028e-01 1.43357337e+00]\n", + "Eigen vectors: [[ 0.04419056 -0.31920854 -0.77605387 0.54211945]\n", + " [ 0.17828909 0.01431314 0.56629712 0.80455932]\n", + " [-0.11385326 0.93976516 -0.25949412 0.19115878]\n", + " [-0.97636962 -0.12141862 0.09854321 0.14916141]]\n", + "This is the 3 run out of 25 run.\n", + "The code has run 3.7114 seconds.\n", + "Estimated remaining time: 27.2167 seconds\n", + "=======This is the 4 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.83024839 5.51197609 -81.9726446 -24.32382628]\n", + " [ 5.51197609 26.57520042 -12.57324566 -139.74017115]\n", + " [ -81.9726446 -12.57324566 240.83051064 59.23199143]\n", + " [ -24.32382628 -139.74017115 59.23199143 768.76471335]]\n", + "Trace: 1065.0006727947682\n", + "Determinant: 149413.08867241812\n", + "Condition number: 1612.3033965117402\n", + "Minimal eigen value: 0.4975647310738729\n", + "Eigen values: [8.02225306e+02 2.60842763e+02 4.97564731e-01 1.43503967e+00]\n", + "Eigen vectors: [[ 0.04400313 -0.31904919 -0.77362392 0.54568981]\n", + " [ 0.17807049 0.01421057 0.56997784 0.80200637]\n", + " [-0.11343891 0.93987811 -0.25847425 0.19222854]\n", + " [-0.9764662 -0.12097442 0.09910778 0.14851464]]\n", + "This is the 4 run out of 25 run.\n", + "The code has run 5.1469 seconds.\n", + "Estimated remaining time: 27.0212 seconds\n", + "=======This is the 5 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.77447266 5.4733019 -81.86441559 -24.18097488]\n", + " [ 5.4733019 26.4829594 -12.4994136 -139.4302313 ]\n", + " [ -81.86441559 -12.4994136 240.63335596 58.97428567]\n", + " [ -24.18097488 -139.4302313 58.97428567 767.74785482]]\n", + "Trace: 1063.6386428489946\n", + "Determinant: 146507.48664099385\n", + "Condition number: 1624.9104493572825\n", + "Minimal eigen value: 0.4929923644281462\n", + "Eigen values: [8.01068444e+02 2.60653941e+02 4.92992364e-01 1.42326479e+00]\n", + "Eigen vectors: [[ 0.04382893 -0.31893711 -0.7717461 0.54842146]\n", + " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", + " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", + " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", + "This is the 5 run out of 25 run.\n", + "The code has run 6.5960 seconds.\n", + "Estimated remaining time: 26.3838 seconds\n", + "=======This is the 6 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.28334671 5.70699409 -92.97484844 -25.80031677]\n", + " [ 5.70699409 29.30507497 -13.33636445 -156.70839321]\n", + " [ -92.97484844 -13.33636445 275.50168257 64.30324325]\n", + " [ -25.80031677 -156.70839321 64.30324325 872.63443311]]\n", + "Trace: 1209.7245373586702\n", + "Determinant: 188680.91170751274\n", + "Condition number: 1858.6163208362157\n", + "Minimal eigen value: 0.48913747009787456\n", + "Eigen values: [9.09118885e+02 2.98695996e+02 4.89137470e-01 1.42051869e+00]\n", + "Eigen vectors: [[ 0.04146304 -0.31695699 -0.77712411 0.54212287]\n", + " [ 0.17602088 0.01408456 0.56560106 0.80555181]\n", + " [-0.10898703 0.94123169 -0.25813549 0.18860223]\n", + " [-0.97745552 -0.1158568 0.09767104 0.14703155]]\n", + "This is the 6 run out of 25 run.\n", + "The code has run 7.8555 seconds.\n", + "Estimated remaining time: 24.8759 seconds\n", + "=======This is the 7 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.52158843 6.484812 -86.0456274 -28.87532345]\n", + " [ 6.484812 29.86381946 -14.92566842 -154.8692371 ]\n", + " [ -86.0456274 -14.92566842 250.53865848 70.10910743]\n", + " [ -28.87532345 -154.8692371 70.10910743 837.96870421]]\n", + "Trace: 1148.8927705828396\n", + "Determinant: 190348.66732527447\n", + "Condition number: 1618.3103657337692\n", + "Minimal eigen value: 0.5417343666585888\n", + "Eigen values: [8.76694341e+02 2.70173245e+02 5.41734367e-01 1.48344999e+00]\n", + "Eigen vectors: [[ 0.04685373 -0.32103947 -0.78212185 0.53199981]\n", + " [ 0.18079203 0.01551727 0.55613272 0.81104245]\n", + " [-0.11992293 0.93825512 -0.26345825 0.18943485]\n", + " [-0.97505767 -0.12794607 0.09793648 0.15264595]]\n", + "This is the 7 run out of 25 run.\n", + "The code has run 9.1331 seconds.\n", + "Estimated remaining time: 23.4851 seconds\n", + "=======This is the 8 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 29.66284896 5.98404272 -83.57738856 -26.09248409]\n", + " [ 5.98404272 27.73909098 -13.48736761 -144.05292682]\n", + " [ -83.57738856 -13.48736761 243.90609069 62.63421243]\n", + " [ -26.09248409 -144.05292682 62.63421243 784.67652324]]\n", + "Trace: 1085.9845538701272\n", + "Determinant: 188639.46155960692\n", + "Condition number: 1474.5971887933822\n", + "Minimal eigen value: 0.556052063178459\n", + "Eigen values: [8.19952809e+02 2.63907946e+02 5.56052063e-01 1.56774623e+00]\n", + "Eigen vectors: [[ 0.04594253 -0.320668 -0.77534136 0.54213199]\n", + " [ 0.17974722 0.01448798 0.56676229 0.80390394]\n", + " [-0.11695823 0.93879944 -0.26038706 0.19280809]\n", + " [-0.97565414 -0.12497097 0.09912039 0.15052047]]\n", + "This is the 8 run out of 25 run.\n", + "The code has run 10.4313 seconds.\n", + "Estimated remaining time: 22.1664 seconds\n", + "=======This is the 9 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.28420904 5.81041182 -82.68033992 -25.22398467]\n", + " [ 5.81041182 27.07275023 -13.03848785 -141.2409079 ]\n", + " [ -82.68033992 -13.03848785 241.93376191 60.6352807 ]\n", + " [ -25.22398467 -141.2409079 60.6352807 773.29131701]]\n", + "Trace: 1071.5820381828053\n", + "Determinant: 178758.14784708264\n", + "Condition number: 1505.8326261414443\n", + "Minimal eigen value: 0.5362591360631045\n", + "Eigen values: [8.07516503e+02 2.61953423e+02 5.36259136e-01 1.57585283e+00]\n", + "Eigen vectors: [[ 0.0452283 -0.32004858 -0.76665675 0.55476187]\n", + " [ 0.17890164 0.01407456 0.5797799 0.79476498]\n", + " [-0.11537487 0.93924098 -0.25666068 0.19657139]\n", + " [-0.97603137 -0.12327688 0.10108403 0.14814718]]\n", + "This is the 9 run out of 25 run.\n", + "The code has run 11.8610 seconds.\n", + "Estimated remaining time: 21.0862 seconds\n", + "=======This is the 10 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.06110646 5.65571543 -82.2474243 -24.65257982]\n", + " [ 5.65571543 26.70378654 -12.7431601 -140.00114925]\n", + " [ -82.2474243 -12.7431601 241.14514373 59.6044585 ]\n", + " [ -24.65257982 -140.00114925 59.6044585 769.22388405]]\n", + "Trace: 1066.133920780468\n", + "Determinant: 166109.95469851143\n", + "Condition number: 1551.1500806946776\n", + "Minimal eigen value: 0.5176066461694571\n", + "Eigen values: [8.02885591e+02 2.61200453e+02 5.17606646e-01 1.53027057e+00]\n", + "Eigen vectors: [[ 0.04454043 -0.31960751 -0.75938699 0.56497663]\n", + " [ 0.1782985 0.01400273 0.59021965 0.78718126]\n", + " [-0.11415988 0.93957357 -0.25377291 0.19942001]\n", + " [-0.9763162 -0.12188714 0.10281766 0.1462147 ]]\n", + "This is the 10 run out of 25 run.\n", + "The code has run 13.2913 seconds.\n", + "Estimated remaining time: 19.9370 seconds\n", + "=======This is the 11 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.78887004 6.07511496 -107.02247647 -28.02099618]\n", + " [ 6.07511496 32.92473073 -14.48411404 -178.54397808]\n", + " [-107.02247647 -14.48411404 319.30033573 71.22701223]\n", + " [ -28.02099618 -178.54397808 71.22701223 1004.35766813]]\n", + "Trace: 1393.3716046200643\n", + "Determinant: 259404.79249449496\n", + "Condition number: 2117.7576403874828\n", + "Minimal eigen value: 0.4934329234872393\n", + "Eigen values: [1.04497134e+03 3.46454720e+02 4.93432923e-01 1.45210830e+00]\n", + "Eigen vectors: [[ 0.0394186 -0.31528763 -0.77789543 0.54214258]\n", + " [ 0.17432484 0.0139462 0.56510132 0.80627343]\n", + " [-0.10531109 0.94230095 -0.25714335 0.18669704]\n", + " [-0.9782467 -0.11166076 0.09703861 0.14542622]]\n", + "This is the 11 run out of 25 run.\n", + "The code has run 14.3810 seconds.\n", + "Estimated remaining time: 18.3031 seconds\n", + "=======This is the 12 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.82491387 7.82520522 -91.43172903 -34.93976104]\n", + " [ 7.82520522 34.18190578 -18.06004783 -174.40587661]\n", + " [ -91.43172903 -18.06004783 263.13353123 84.29020597]\n", + " [ -34.93976104 -174.40587661 84.29020597 926.3597771 ]]\n", + "Trace: 1256.5001279889048\n", + "Determinant: 263402.56815696124\n", + "Condition number: 1602.2755769575617\n", + "Minimal eigen value: 0.606692251370187\n", + "Eigen values: [9.72088177e+02 2.82222721e+02 6.06692251e-01 1.58253717e+00]\n", + "Eigen vectors: [[ 0.05009398 -0.32372401 -0.78629932 0.52385755]\n", + " [ 0.18387427 0.01689333 0.54820737 0.81570432]\n", + " [-0.12688016 0.93624622 -0.26759042 0.18904978]\n", + " [-0.97343838 -0.13550056 0.09796643 0.15639663]]\n", + "This is the 12 run out of 25 run.\n", + "The code has run 15.6011 seconds.\n", + "Estimated remaining time: 16.9011 seconds\n", + "=======This is the 13 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.89275002 6.69847435 -85.87819164 -28.67837249]\n", + " [ 6.69847435 29.40126676 -14.82387106 -150.06917866]\n", + " [ -85.87819164 -14.82387106 248.21025379 67.47169254]\n", + " [ -28.67837249 -150.06917866 67.47169254 806.45237065]]\n", + "Trace: 1114.9566412208942\n", + "Determinant: 259295.44426422898\n", + "Condition number: 1312.5340624325274\n", + "Minimal eigen value: 0.6433044740080609\n", + "Eigen values: [8.44359035e+02 2.68174244e+02 6.43304474e-01 1.78005776e+00]\n", + "Eigen vectors: [[ 0.04871693 -0.32300943 -0.77416724 0.54217769]\n", + " [ 0.18206305 0.0148089 0.56753176 0.80283339]\n", + " [-0.12183745 0.93722982 -0.26183895 0.19543866]\n", + " [-0.97449235 -0.13055984 0.10006575 0.15266182]]\n", + "This is the 13 run out of 25 run.\n", + "The code has run 16.9594 seconds.\n", + "Estimated remaining time: 15.6548 seconds\n", + "=======This is the 14 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.04081103 6.30780567 -83.85983328 -26.72425063]\n", + " [ 6.30780567 27.90200091 -13.81389272 -143.74213782]\n", + " [ -83.85983328 -13.81389272 243.77251546 62.97409839]\n", + " [ -26.72425063 -143.74213782 62.97409839 780.83565947]]\n", + "Trace: 1082.550986869459\n", + "Determinant: 233249.44653710237\n", + "Condition number: 1361.1345665037536\n", + "Minimal eigen value: 0.5997577131041496\n", + "Eigen values: [8.16350955e+02 2.63794338e+02 5.99757713e-01 1.80593621e+00]\n", + "Eigen vectors: [[ 0.04723544 -0.32167879 -0.7576378 0.5659298 ]\n", + " [ 0.18026288 0.01386971 0.5920096 0.78539006]\n", + " [-0.11853461 0.93818523 -0.25448998 0.20246697]\n", + " [-0.97530695 -0.12703884 0.10365545 0.14796293]]\n", + "This is the 14 run out of 25 run.\n", + "The code has run 18.3156 seconds.\n", + "Estimated remaining time: 14.3908 seconds\n", + "=======This is the 15 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.53882947 5.95973797 -82.88577216 -25.43858804]\n", + " [ 5.95973797 27.07183177 -13.14940425 -140.95267917]\n", + " [ -82.88577216 -13.14940425 241.99812335 60.65474656]\n", + " [ -25.43858804 -140.95267917 60.65474656 771.68393275]]\n", + "Trace: 1070.2927173372873\n", + "Determinant: 200944.16832372188\n", + "Condition number: 1447.570684323681\n", + "Minimal eigen value: 0.5567387557668824\n", + "Eigen values: [8.05918702e+02 2.62108634e+02 5.56738756e-01 1.70864324e+00]\n", + "Eigen vectors: [[ 0.04572056 -0.32071284 -0.7423529 0.58648536]\n", + " [ 0.17892883 0.01369196 0.61299069 0.76944098]\n", + " [-0.11586404 0.93892699 -0.24836575 0.20810115]\n", + " [-0.9759455 -0.12398352 0.10709366 0.14383813]]\n", + "This is the 15 run out of 25 run.\n", + "The code has run 19.7172 seconds.\n", + "Estimated remaining time: 13.1448 seconds\n", + "=======This is the 16 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 43.09660269 6.59048419 -126.68915571 -31.12994736]\n", + " [ 6.59048419 37.99224879 -16.09096346 -209.11379689]\n", + " [-126.68915571 -16.09096346 380.61845015 80.9202888 ]\n", + " [ -31.12994736 -209.11379689 80.9202888 1188.77019715]]\n", + "Trace: 1650.4774987815367\n", + "Determinant: 377289.91439240717\n", + "Condition number: 2481.5331584244427\n", + "Minimal eigen value: 0.4977587555539962\n", + "Eigen values: [1.23520486e+03 4.13290103e+02 4.97758756e-01 1.48478063e+00]\n", + "Eigen vectors: [[ 0.03730531 -0.3135781 -0.77866613 0.54217722]\n", + " [ 0.1725762 0.01383184 0.56460354 0.80699999]\n", + " [-0.10148488 0.9433793 -0.25614111 0.18473777]\n", + " [-0.97904371 -0.10729839 0.09640345 0.14375966]]\n", + "This is the 16 run out of 25 run.\n", + "The code has run 20.7599 seconds.\n", + "Estimated remaining time: 11.6774 seconds\n", + "=======This is the 17 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 36.04956949 9.70175573 -98.97227133 -43.42997368]\n", + " [ 9.70175573 40.22722664 -22.44817902 -201.75717189]\n", + " [ -98.97227133 -22.44817902 280.76635309 104.14374397]\n", + " [ -43.42997368 -201.75717189 104.14374397 1050.107279 ]]\n", + "Trace: 1407.150428212321\n", + "Determinant: 385007.6600820056\n", + "Condition number: 1607.705026141176\n", + "Minimal eigen value: 0.6877958792543253\n", + "Eigen values: [1.10577289e+03 2.98996660e+02 6.87795879e-01 1.69308018e+00]\n", + "Eigen vectors: [[ 0.05355966 -0.32712622 -0.78888975 0.51746764]\n", + " [ 0.18728768 0.01854209 0.54218599 0.81891017]\n", + " [-0.13417312 0.93385046 -0.27197264 0.18960955]\n", + " [-0.97162352 -0.14341531 0.09858088 0.16019237]]\n", + "This is the 17 run out of 25 run.\n", + "The code has run 21.9827 seconds.\n", + "Estimated remaining time: 10.3448 seconds\n", + "=======This is the 18 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 32.61461164 7.69867871 -89.0993161 -32.29861652]\n", + " [ 7.69867871 31.72831286 -16.69497597 -158.49193121]\n", + " [ -89.0993161 -16.69497597 254.2360823 74.24416491]\n", + " [ -32.29861652 -158.49193121 74.24416491 836.93855685]]\n", + "Trace: 1155.5175636475976\n", + "Determinant: 377055.4880801895\n", + "Condition number: 1153.5639598389243\n", + "Minimal eigen value: 0.7616413006513915\n", + "Eigen values: [8.78601955e+02 2.74098284e+02 7.61641301e-01 2.05568373e+00]\n", + "Eigen vectors: [[ 0.05232178 -0.32611304 -0.77255089 0.54228945]\n", + " [ 0.18508459 0.0153093 0.56859711 0.80137796]\n", + " [-0.12810799 0.93511485 -0.2637982 0.1988946 ]\n", + " [-0.97293087 -0.13775386 0.10135559 0.15542345]]\n", + "This is the 18 run out of 25 run.\n", + "The code has run 23.2465 seconds.\n", + "Estimated remaining time: 9.0403 seconds\n", + "=======This is the 19 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.10005329 7.00415735 -85.51112415 -28.82462185]\n", + " [ 7.00415735 29.06295311 -14.89946105 -147.24386132]\n", + " [ -85.51112415 -14.89946105 246.34677219 66.24844458]\n", + " [ -28.82462185 -147.24386132 66.24844458 791.39773727]]\n", + "Trace: 1097.9075158546405\n", + "Determinant: 321261.1602557401\n", + "Condition number: 1206.260839809684\n", + "Minimal eigen value: 0.6870414530693149\n", + "Eigen values: [8.28751200e+02 2.66350928e+02 6.87041453e-01 2.11834600e+00]\n", + "Eigen vectors: [[ 0.04997416 -0.32388984 -0.74853222 0.57645249]\n", + " [ 0.18211959 0.01362623 0.60381065 0.77592492]\n", + " [-0.12282242 0.93672065 -0.25260431 0.20895007]\n", + " [-0.97429446 -0.13215185 0.10631688 0.14826637]]\n", + "This is the 19 run out of 25 run.\n", + "The code has run 24.5919 seconds.\n", + "Estimated remaining time: 7.7659 seconds\n", + "=======This is the 20 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 30.20764167 6.38536954 -83.77945916 -26.53899955]\n", + " [ 6.38536954 27.58709508 -13.71814607 -142.28482105]\n", + " [ -83.77945916 -13.71814607 243.19229482 62.12514983]\n", + " [ -26.53899955 -142.28482105 62.12514983 775.12800093]]\n", + "Trace: 1076.1150325090841\n", + "Determinant: 254255.2767080606\n", + "Condition number: 1330.7789533668292\n", + "Minimal eigen value: 0.608797184202226\n", + "Eigen values: [8.10174480e+02 2.63374511e+02 6.08797184e-01 1.95724430e+00]\n", + "Eigen vectors: [[ 0.04736083 -0.32223551 -0.724051 0.60800607]\n", + " [ 0.17980376 0.01327246 0.63595878 0.75036717]\n", + " [-0.11822723 0.93802249 -0.24264785 0.2173894 ]\n", + " [-0.97542293 -0.12689337 0.11148365 0.14149058]]\n", + "This is the 20 run out of 25 run.\n", + "The code has run 26.0996 seconds.\n", + "Estimated remaining time: 6.5249 seconds\n", + "=======This is the 21 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", + " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", + " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", + " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", + "Trace: 1981.042219842969\n", + "Determinant: 561207.9661975782\n", + "Condition number: 2950.219453858868\n", + "Minimal eigen value: 0.5016011129216537\n", + "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", + "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", + " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", + " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", + " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", + "This is the 21 run out of 25 run.\n", + "The code has run 27.1668 seconds.\n", + "Estimated remaining time: 5.1746 seconds\n", + "=======This is the 22 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 40.19555527 12.11446351 -108.66725424 -54.3459613 ]\n", + " [ 12.11446351 47.99978202 -28.09006195 -236.92312301]\n", + " [-108.66725424 -28.09006195 303.437124 129.66972126]\n", + " [ -54.3459613 -236.92312301 129.66972126 1209.21121023]]\n", + "Trace: 1600.8436715191028\n", + "Determinant: 574493.5740840156\n", + "Condition number: 1641.1009670028882\n", + "Minimal eigen value: 0.7786241069263284\n", + "Eigen values: [1.27780077e+03 3.20462429e+02 7.78624107e-01 1.80184348e+00]\n", + "Eigen vectors: [[ 0.0568252 -0.33099073 -0.78928622 0.514046 ]\n", + " [ 0.19061862 0.02031409 0.53926997 0.82002426]\n", + " [-0.1409001 0.93130083 -0.27612116 0.19126691]\n", + " [-0.96983638 -0.15070249 0.09986123 0.16350503]]\n", + "This is the 22 run out of 25 run.\n", + "The code has run 28.3785 seconds.\n", + "Estimated remaining time: 3.8698 seconds\n", + "=======This is the 23 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 34.82843368 8.98465572 -93.24076194 -36.95321608]\n", + " [ 8.98465572 34.72022928 -19.10068248 -169.32118473]\n", + " [ -93.24076194 -19.10068248 261.98357659 82.95163035]\n", + " [ -36.95321608 -169.32118473 82.95163035 876.1350836 ]]\n", + "Trace: 1207.6673231394532\n", + "Determinant: 560761.2445733282\n", + "Condition number: 1016.6953838753852\n", + "Minimal eigen value: 0.9075873160433475\n", + "Eigen values: [9.22739835e+02 2.81642447e+02 9.07587316e-01 2.37745440e+00]\n", + "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", + " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", + " [-0.13533435 0.93253239 -0.26619814 0.20299388]\n", + " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", + "This is the 23 run out of 25 run.\n", + "The code has run 29.6690 seconds.\n", + "Estimated remaining time: 2.5799 seconds\n", + "=======This is the 24 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existed information has been added.\n", + "FIM: [[ 32.4619363 7.89946484 -87.63421063 -31.52510018]\n", + " [ 7.89946484 30.55560188 -16.29518684 -151.74607207]\n", + " [ -87.63421063 -16.29518684 249.65652506 70.45831361]\n", + " [ -31.52510018 -151.74607207 70.45831361 804.97755722]]\n", + "Trace: 1117.651620471588\n", + "Determinant: 454517.0126153976\n", + "Condition number: 1059.799723292563\n", + "Minimal eigen value: 0.7970814142579506\n", + "Eigen values: [8.44746662e+02 2.69604107e+02 7.97081414e-01 2.50377024e+00]\n", + "Eigen vectors: [[ 0.05337759 -0.32661762 -0.74037869 0.58507364]\n", + " [ 0.18442587 0.01338178 0.61386088 0.76745217]\n", + " [-0.12811295 0.93486205 -0.25133676 0.21552227]\n", + " [-0.97299795 -0.13847311 0.10883033 0.14918496]]\n", + "This is the 24 run out of 25 run.\n", + "The code has run 31.0215 seconds.\n", + "Estimated remaining time: 1.2926 seconds\n", + "=======This is the 25 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.06754309 6.93261012 -84.92848531 -27.95381437]\n", + " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", + " [ -84.92848531 -14.44938555 244.72765813 64.01566832]\n", + " [ -27.95381437 -143.99757491 64.01566832 779.5560886 ]]\n", + "Trace: 1083.6008663180692\n", + "Determinant: 330586.4915112132\n", + "Condition number: 1212.3887740652594\n", + "Minimal eigen value: 0.6727727406629871\n", + "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772741e-01 2.27338343e+00]\n", + "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", + " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", + " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", + " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", + "This is the 25 run out of 25 run.\n", + "The code has run 32.5174 seconds.\n", + "Estimated remaining time: 0.0000 seconds\n", + "The whole run takes 32.517438888549805 s.\n" + ] + } + ], + "source": [ + "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", + " ['CA','CB','CC'], t_measure, createmod,\n", + " prior_FIM=prior_pass, discretize_model=disc)\n", + "\n", + "all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", + " mode='sequential_finite', \n", + " scale_nominal_param_value=True\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "7e5abcb5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 700.0)\n", + "(self.store_all_results_dataframe['CA0']==5.0)\n", + "[300.0, 400.0, 500.0, 600.0, 700.0]\n", + "[3.29689373 3.20434892 3.08194732 3.04830645 3.03486934]\n" + ] + }, + { + "data": { + 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\n", 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\n", 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\n", 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75USW3XM6z188gLXb87lvit1YN8YYSyI+ndClGSOPbs8/P1vKpz9uDDocY4wJlCWRKNwytDsdm9Xnj6/PYeuu3UGHY4wxgSlzEhGROiLylogcH8+AqoKkOok8ckEfNu4o4LZJ87Apho0xNVWZk4iq7gZO9rNPddajdSNGn9KF9+au4e3Zq4MOxxhjAuE3IXwGHBWPQKqiK0/oSFb7xtz+9jxWWedDY0wN5DeJ3AhcKiLXikgbEUkUkYTQRzyCrKwSE4SHzu/N/v3Kja/NZv9+q9YyxtQsfj/0c4COwCPAcmA3sCfkUePuMrdtksyff3EEX/60mWc//SnocIwxpkL57Wz4F8C+boc5t18bpi1Yx9+mLmJg52Z0b5kSdEjGGFMhpCa1LMrKytLs7Oy4HHvzzt0MefgTmiTX4e1rj6Ve2FApxhhTVYnILFXNirSuRt3DiKcm9etw3y97snBdLn+zYeKNMTWE7yQiIn1EZKKIbBSRvSLS11t+t4icFvsQq47BXZvzm6Pa8+ynS/l8sfVmN8ZUf76SiIgcB3wBdAP+Hbb/fuDK2IVWNd06rDsdmtXnxtfnsG3XnqDDMcaYuPJ7JXIPMBU4AvhD2Lpvgb6xCKoqS6qTyMPn92ZDbgG3vz0v6HCMMSau/CaRvsCT6u7Gh9+R3wg0i0lUVVzPNqlcf1Jn3pmzmrdnrwo6HGOMiRu/SSQfSC5mXUtgW/nCqT6uGtSRvu1SuW3SPJtK1xhTbflNIp8CN4hIaPvVwiuSS4HpMYmqGqiVmBDSm32O9WY3xlRLfpPI7bgqrTne7wqMFJGPcWNq3RHb8Kq29mn1+b8zD+eLnzbxz8+WBh2OMcbEnK8koqpzgOOBdcBYQIBrvdUnqKp1kAhzXlZbTj28BfdNWcgPa7cHHY4xxsSU734iqvqtqp4ENATaACmqOlhVv4t5dNWAiDD+7ExSkmpzwyuzKdi7L+iQjDEmZqLqsS4iKbhqrWOBXt5zU4y0BnW575eZ/LA2lwc+WBR0OMYYEzPR9Fj/P2AF8D/gVdwcIytE5LYYx1atnNitBRcd2Y5n/vcTXyzZFHQ4xhgTE357rN8BjMMlj1OATNxsh68Bd4jIOJ/Hu0ZE5orIdu/xhYicXsZ9O4tIrojs8HPOII09vTsZafW58bXZbMuz3uzGmKrP75XIZcADqnq5qk5X1fnez8uAh4DLfR5vJXAzrmosC9dEeJKI9CxpJxGpA7wCfOLzfIFKrlOLh87vzbrcAv5svdmNMdWA3yTSCDfsSSRTvPVlpqpvq+pkVV2sqotUdSyQCxxdyq73AnOB1/2crzLo3TaV35/YmUmzV/PuHJub3RhTtflNIl8B/YtZ199bHxVvqt0LgAbA5yVsdzpwBvD7aM8VtGsGd6RPu1TGvpXDmm3Wm90YU3WVmkTC5k//PXCJiNwkIhkikuT9/BNwCQf7jJSZiGR69zUKgKeAEaqaU8y2LYFngN+oam4Zj3+5iGSLSPaGDRv8hhcXtRITeOi83uzdr/zxdevNboypuspyJbKXg3Ooz8HNsX4PsATY4f0c7y2fG0UMC4HeuB7vTwL/EpEexWz7Em4AyC/LenBVfVpVs1Q1q1mzyjM+ZEbT+tx+xuF8tngTz3++LOhwjDEmKmWZYz2u86qr6m5gsfc0W0T6A6NxY3GFOxE4QUT+7D0XIEFE9gJXq+rT8YozHi7o35ZpC9Zx75QfGNi5KV1aNAw6JGOM8aXUJKKq4yogjlAJQN1i1mWGPT8LN/zKAKDKjbnuerP35LSHP+GGV2Yz6ZpjqVPLZiw2xlQdgX5iicg9IjLQu6+SKSLjgUHAy9768SIyrXB7VZ0X+sAljv3e8y2BvIhyatawLvee05Pv12znwQ+tN7sxpmopS3VWESLSFmgL1Atfp6p+hoNPx93nSMfNRTIXGKqqhc2IW+LutVRrJx/eggsHtOUfnyxhcNdmHNkhLeiQjDGmTMRNUljGjUU64K4SBhQu8n6q97uqamKkfSuDrKwszc7ODjqMiHYW7OX0R//Hnn3K5BsGklKvdtAhGWMMACIyS1WzIq3zW531LNAOuAE4DRjsPU4M+WmiUL9uLR48vzdrt+cz7p35QYdjjDFl4rc6qz8wSlXfjEcwNV3fdo25ZnAnHp32Iyd3b8GwzJZBh2SMMSXyeyWyEtgdj0CMc92JnejVphG3vpXDuu35QYdjjDEl8ptE7gZuFpH68QjGQG1vbvaCPfutN7sxptLzVZ2lqi+KSDdgmYh8CYQ3q1VVHRmz6GqoDs0aMPb07tw2aR4vfLGMUcceFnRIxhgTka8kIiKjgDHAPtzw7eFVW/a1OUYuOrId039Yz/jJP3Bsp6Z0tt7sxphKyG911h3AW0AzVW2tqoeFPTrEIcYaSUS455xM6tetxQ2vzmb33v1Bh2SMMUX4TSJpwBOqujUOsZgwzRvW456zM5m/ejsPf2S92Y0xlY/fJPIp0D0egZjITj0infOz2vLUzCV8s2xz0OEYY8wh/CaR64HLROQiEUkLnWskZM4RE2O3n3k4bRonM/rV2eTm29zsxpjKw++H/gLcSLovAOs5OM9I4cP6kMRBg7pubvbVW/O4493vgw7HGGMO8NtjPa5zi5ji9WvverP/ffpiTu7enNN6WG92Y0zw/PYTGRenOEwZ/P6kzsxctIExE3Po264xzVOKDKJsjDEVyu5hVCGFvdnz9uzjpjfm4mcEZmOMiQe/nQ1LmytEVfWkcsRjStGxWQPGDuvO7W/P58Uvl/PbozOCDskYU4P5vRJJwM0bEvpoChwLdOHg/CImjn59VHsGdW3GX/+7gMXrdwQdjjGmBvOVRFR1kKoODnv0BA7HjaN1d1yiNIcQEe47pyfJdRIZbb3ZjTEBisk9EVVdAtwD3B+L45nSNU+px/ize5KzahuPTvsx6HCMMTVULG+sb8BVaZkKclqPdM7t14YnZixm1nLrzW6MqXgxSSIi0gT4A7AkFsczZffnXxxB68ZJjH51DjsK9gYdjjGmhvGVRERkqYj8FPZYCawDTgJui0uUplgN6tbiofN6s3LLLv7yrs3NboypWH57rM+kaI/1fGA58Lp3b8RUsKyMJlw1qCOPf7yEk7q3YMgR6UGHZIypIfz2WB8VpzhMOV1/UpcDvdn7tEuleUPrzW6MiT/rsV5N1KmVwMPn92ZnwV7+ZL3ZjTEVxHcSEZGRIjJFRL6PcH/EqrMC1Kl5Q24d1p0ZCzfw0lc/Bx2OMaYG8Dvsye24KXLnAbOBgjjEZMrht0e3Z9oP6/nrf7/nmI5pdGzWIOiQjDHVmPip9hCRZcBbqjo6bhHFUVZWlmZnZwcdRtyt257PkIc/oV2TZN686hhqJ1qtpTEmeiIyS1WzIq2LZo71d8sfkomnFin1GD8ik7krt/F3681ujIkjv0lkJtArHoGY2Bqa2ZJz+rbhsY8XM2v5lqDDMcZUU36TyA3AxSLyWxFpanOsV27jfnE4rVKT+MNrs9lpvdmNMXHg90N/EdADeB7XS93mWK/EGtarzYPn9ebnzbu48z2bm90YE3s2x3o1N+CwJlx5QkeenOF6s59yeIugQzLGVCOBzrEuItcAVwAZ3qL5wF2q+t9itj8ceBw3f0kjYDXwCjBOVe0qqBijT+7CJ4s2cMubc+nd9niaNawbdEjGmGoi6HsYK4Gbgb5AFjAdmCQiPYvZfjfwL+BUoCvuHs2lwF1xj7QKK+zNvqNgLze/ab3ZjTGxE2gSUdW3VXWyqi5W1UWqOhbIBY4uZvvFqjpBVeeo6nJVfQd4GRhYkXFXRZ1bNOSWod2Y/sN6/v219WY3xsRG0FciB4hIoohcADQAPi/jPp2A03BNj00pRh6dwcDOTbnrvQX8tMHmZjfGlF/gSUREMkVkB24IlaeAEaqaU8o+n4tIPvAj8ClwawnbXi4i2SKSvWHDhliGXuUkJAj3/7IXdWolMPq1OezZZ3OzG2PKJ/AkAiwEegNHAU8C/xKRHqXscz7uPsqvgGG4+yoRqerTqpqlqlnNmjWLTcRVWHqjetw9IpM5K7by2PTFQYdjjKni/DbxjTmvVVXhp1m2iPQHRuNumBe3zwrv1+9FJBF4VkTuV1XrUVcGp/dsybQFrXns48UM6tqMPu0aBx2SMaaKqoxDwScAftqgJuCSYWIMzl1jjDvrCNJT6jH6VevNboyJnt851m/H9VZvhRsKfmbY4xOfx7tHRAaKSIZ3b2Q8MAjX4goRGS8i00K2/42InCsi3USkg4icB4wH3lBVG5beh5R6tXnwvF4s37yLu/67IOhwjDFVlN/qrEuBR2I4FHw68JL3cxswFxiqqlO99S2BjiHb7wXGAJ0Bwc3t/jjwUIziqVGO7JDG5cd34B8zf+Kkbs052XqzG2N88jufSC5wlqpOj19I8VNT5hPxo2DvPoY//jkbcvOZcsPxNG1gvdmNMYeK5XwiNhR8NVO3ViKPXNCb7fl7ucV6sxtjfLKh4A1dWjTk5tO68dGC9bzyzYrSdzDGGI8NBW8AuPiYDI7tlMad733Pso07gw7HGFNF2FDwBnC92f92bi+GPPQJN7w6mzeuPJpaNje7MaYUgQ4FbyqXlo2S+OuITK77z3c8/vESrj+5c9AhGWMqOfuqaQ5xZq9WDO/diken/8jsFVuDDscYU8lF02O9pYj8TUS+EZElIvK1iNwnIunxCNBUvDvO6kGLhnUZ/epsdu223uzGmOL57bHeBddT/ffADuBrYCdwPTBbRKz+oxpolFSbB87rzbJNO/mr9WY3xpTA75XIvcB2oIuqDlbVC1V1MNAF1+P83lgHaIJxdMc0LhvYgZe/+pnpP6wLOhxjTCXlN4kMBm5X1WWhC1V1OTDOW2+qiRtP7UK39Ib86Y0cNu2wocmMMUX5TSJ1cNPXRpLrrTfVRN1aiTx8QW+25+3hlok51pvdGFOE3yQyG7guvGe6iAhwtbfeVCPd0lP402ld+fD7dbyWbb3ZjTGHiqaz4XvAAhF5FViDG4H3XNzIuqfHNjxTGVxy7GFM/2E9d7z7PUd1SKN9Wv2gQzLGVBK+rkRUdQpwBq7qaixuGPbbcC21zlDVD2IeoQlcYW/2WgnC6Fdns9fmZjfGeHz3E1HVKd6QwA2BtkBDVR0QMgeIqYZapSZx5/AefPvzVp6cEYsJLI0x1UHUPdZVdZeqrlLVXbEMyFReZ/VuzS96teKRaT8yd+XWoMMxxlQCpSYREdknIgO83/d7z4t7WPfmau7Os3rQrGFdbnh1Nnm79wUdjjEmYGW5sf4XYGXI79bOswZrlFybv53bi4ue/Yq731/AncN7BB2SMSZApSYRVb0j5PdxcY3GVAnHdmrKpccdxnOfLuXE7s0Z3LV50CEZYwJio/iaqNw0pCtdWzTkT2/MZfNOm4vMmJrK7wCMP4lIxDnWRaSHiPwUm7BMZVevdiIPnd+bbbv2MGaizc1uTE3l90okA6hbzLp6QPtyRWOqlMNbpXDjqV2YOn8dr89aWfoOxphqJ5rqrOK+cmYBW6MPxVRFvxvYgSMPa8Id78zn503W2tuYmqYsTXxHi8jPIvIzLoG8W/g85LEB13t9SrwDNpVLYoLwwHm9SBDhD6/NZt9+q9YypiYpSxPfn4Bp3u8jgWxgQ9g2BcD3wLOxC81UFW0aJ/OX4Ucw+tU5PDVzCdcM7hR0SMaYClKWJr5vA28DuMF6uVNV7Qa6OcTw3q35aMF6HvpwEcd3bkZmm0ZBh2SMqQC+RvFV1YvjFYip2kSEvw7vwaxlW7j0X9+QmCCs3ZZPq9QkbhrSleF9WgcdojEmDmzYExMzqcl1GNGnNetzC1izLR8FVm3NY8zEHCZ9tyro8IwxcWDDnpiYemfO6iLL8vbs4/6pC+1qxJhqyIY9MTG1emuer+XGmKrNhj0xMdUqNcnXcmNM1VbqlYiITPdzQFU9MfpwTFV305CujJmYQ96eg8PEi8D1J3UOMCpjTLyU5UokAZCQRzdgEG4IlCTv5yCgq9+Ti8g1IjJXRLZ7jy9EpNh52kVkkIi8LSJrRGSXt+8lfs9r4md4n9aMPzuT1qlJCNCkfh1Q+HjhevZbR0Rjqp2y3BMZVPi7iAwHHgGOUtWvQ5YfCbzqrfNjJXAz8CMuWY0EJolIP1WdG2H7Y4Ac4D5gDTAEeFpE8lX13z7PbeJkeJ/Wh9xEf+7Tpdz53vfcO/UHxgztHmBkxphYEz+jr4pIDnC/qr4QYd0o4EZVzSxXQCKbgTGq+o8ybv8akKiq55S2bVZWlmZnZ5cnPBMFVeXP78znhS+WM/7sTC4c0C7okIwxPojILFXNirTOV2dDoDNFhzwptB6IerwLEUkEzgUaAJ/72DWFg02QTSUkIvzfGYfz8+Zd3DZpHm0aJzGwc7OgwzLGxIDf1llLgSuKWXcFsMxvACKSKSI7cONvPQWMUNWcMu57BnAS8HQJ21wuItkikr1hQ3H5z8RbrcQEHvtVXzo3b8DVL33LonW5QYdkjIkBv9VZFwAvAwuAN4B1QAvgl7gb7hep6qu+AhCpA7QDUoFzgMuAQao6r5T9jgUmAzer6pNlOZdVZwVv9dY8hj/+GbUTE5h0zbE0a1jc9DTGmMqipOosX1ciqvoK7mb2NmAMbvj3Mbh5RIb4TSDeMXer6mJVzVbVMcBsYHRJ+4jIcbgE8n9lTSCmcmiVmsRzI/uzeedufvdCNnm795W+kzGm0vLd2VBVP1LVY3HNe9OBJFU9TlWnlbKrn5iK/XoqIsfjEsgdqvpwjM5pKlBmm0Y8ckFv5q7cyh9em21Nf42pwqLusa6q+1V1varuj/YYInKPiAwUkQzv3sh4XJ+Tl73140VkWsj2g3AJ5CngZRFJ9x52l7aKOfWIdMYO687keWu5b+rCoMMxxkTJb+ssRGQkcCHuPka9sNWqqh19HC4deMn7uQ2YCwxV1ane+pZA6PFGAcnAH71HoeW4To+mCrn0uMNYtmknT81cQkZaMhdY019jqhxfSUREbgfuAObh7l0UlOfkqjrKz3rveYn7mKpDRBh35hGs2JzH2EnzaNM4meM6Nw06LGOMD35bZy0D3lLVEm98V1bWOqtyys3fw7lPfcGqrXlMvOoYOrdoGHRIxpgQMWudBaQB75Y/JGMOalivNs+N6k+92olcPOEbNuSW6wLXGFOB/CaRmUCveARiarbWqUk8NzKLjTsKuOyFbPL3WNNfY6oCv0nkBuBiEfmtiDQVkYTwRxxiNDVEzzapPHJBH+ZY019jqgy/H/qLgB7A87je6nvCHrtjGp2pcYZ4TX/fz1nL/R9Y019jKju/TXxtjnUTd5cedxhLN+7kyRmu6e/5/a3przGVla8kYnOsm4ogItzxiyNYsSWPsW+5pr/HdrKmv8ZURnYPw1RKtRITePxXfejUvAFXvjSLH23UX2MqJd9JRERaisjfROQbEVkiIl+LyH0ikh6PAE3NFd70d+MOa/prTGXjK4mISBdcT/XfAzuAr4GdwPXAbBHpHOsATc1mTX+Nqdz8XoncC2wHuqjqYFW9UFUHA11wY1/dG+sAjenZJpWHz+/D7BVbufG1Odb015hKxG8SGQzcrqrLQheq6nJgnLfemJg7rUc6tw7tzn9z1vA3a/prTKXht4lvHaC4O5y53npj4uJ3Aw9j6aadPDFjCRlN63NeVtugQzKmxvN7JTIbuC68Z7qICHC1t96YuChs+juwc1NunZjD54s3Bh2SMTWe3yTyF+BkYIGI/EVErhKRO4D5wCm4YeKNiZvaiQk8flFfOjSrzxUvzWLxemv6a0yQ/M6xPgU4A1d1NRY3x/ptuJZaZ6jqBzGP0JgwKfVq889R/alby5r+GhO0aOZYn+KNK98QaAs0VNUBIbMRGhN3bRon89zILDbkFnC5Nf01JjClJhFvdN4zRaRH6HJV3aWqq1R1lzc/+pnxC9OYonq1TeXh83vz3Yqt/PF1a/prTBDKciXya+A/uE6FxckF/iMiF8YkKmPK6LQeLbnltG68N3cND3xoTX+NqWhlTSLPq+rS4jbw+o08B4yMUVzGlNnlx3fgwgHtePzjJbyWvSLocIypUcqSRPoCZblh/hEQcQ5eY+JJRPjLWSFNf5dY019jKkpZkkhDYEsZttvibWtMhQtt+nvli7NYvH5H0CEZUyOUJYlsBNqXYbt23rbGBCKlXm2eG9mfOrUSuHjC12yypr/GxF1ZksinlO1exyhvW2MC07ZJMs+O7M/67QVc/uIsa/prTJyVJYk8DJwkIg+JSJGxsUSktog8ApwIPBTj+IzxrbfX9HfW8i3c9MZca/prTByVOgCjqn4hIjcCDwAXicgHwHJvdXvccCdpwI2q+mXcIjXGh6GZLbllaDfumfwDGWnJ3Hhq16BDMqZaKtMovqr6sIh8C9wCjACSvFV5wAzgHlX9X1wiNCZKVxzfgWUbd/L36Ytp1ySZc23UX2NirsxDwavqJ8An3gi+Tb3Fm1TVKp1NpSQi3Dm8Byu35HHrWzm0aZzM0R3Tgg7LmGolmrGz9qvqeu9hCcRUarUTE3ji133JSKvPFS9mW9NfY2LMdxIxpqopHPW3Tq0ELpnwjTX9NSaGLImYGqFtk2Se+W0W67bnW9NfY2LIkoipMfq0a8xDXtPfP70xF1Vr+mtMeQWaRETkGhGZKyLbvccXInJ6CdvXE5EJ3j57RGRGBYZrqoFhmS25+bRuvDNnNQ99uCjocIyp8srcOitOVgI3Az/iEtpIYJKI9FPVuRG2TwTygceAYUBqBcVpqpErT3BNfx+dvph2afX5Zb82QYdkTJVV7iQiIn1x42YB/Kyq35Z1X1V9O2zRWBG5CjgaKJJEVHUncKV33p5YEjFREBHuGtGDlVt3MWbiXFqnJlnTX2OiFHV1loj0E5EfgJeBq4CrcRNTLRSRflEcL1FELgAaAJ9HG1eE414uItkikr1hw4ZYHdZUcbUTE3jion60T6vPlS/NYskGa/prTDTKc0/kaeBaVe2uqkNU9VRV7QpcCzxT1oN4U+vuAAqAp4ARqppTjrgOoapPq2qWqmY1a9YsVoc11UCjpNo8P6o/tRKESyZ8w+adu4MOyZgqpzxJpIGqfhS+UFU/BOr7OM5CoDdwFPAk8K/w+dyNiZe2TZJ5ZmQWa7flc/kL2db01xifypNE1ovIxSKSWLjAq5L6HT7mFVHV3aq6WFWzVXUMMBsYXY64jPGlb7vGPHheb7KXb+HmN63przF+lOfG+khc9dPDIrLaW9YK+JryzbWeANQtx/7G+HZ6z5Ys39yV+6YspH1aff5wSpegQzImJiZ9t4r7py5k9dY8WqUmcdOQrgzv0zpmx486iajqT8CpItKUQ1tnlfkqRETuAf4LrMBNrfsrYBBwurd+PDBAVU8K2edwoA5uEMgGItLbi2d2tK/FGICrTujI8o27eHTaj7Rvksw51vTXVHGTvlvFmIk55HnVtKu25jFmorvlHKtEUu4mvl7SOCRxiEhzVV1fht3TgZe8n9twzXqHqupUb31LoGPYPu9z6HS93xWe1mfoxhyisOnvii27uGXiXFo3TuKoDtb011Rd909deCCBFMrbs4/7py6MWRKJV4/17LJspKqjVLW9qtZV1eaqenJIAilcnxG2T4aqSvgjxvGbGqp2YgJPXtSPdk2SueLFWfxkTX9NFbRl525e+2YFq7bmRVy/upjl0Yj6SkREflHC6nrRHteYoDVKrs3zowYw4onPuGTCN0y8+lia1C8yM7QxlcrGHQV8MH8dk+et4fMlm9i3X0lMEPZFmB66VWpShCNEpzzVWW8BM4lcjdSwHMc1JnDt0pJ5+rdZXPjMl1zxYjYv/e5I6tZKLH1HYyrQ+u35TJ2/lvdz1vLV0k3sV8hIS+aK4zswLLMlP67L5da35h1SpZVUO5GbhsRuuujyJJEfgUtVdWn4ChFZUY7jGlMp9GvfmAfP68W1//6OP70xl4fP742I1ZyaYK3ZlseUeWuZnLOWb5ZvRhU6NqvPtYM7MTSzJd3SGx54n/Zo3QgRqZyts4B/4VpIFUkiuKa/xlR5Z/RsxfJNu7h/6kIy0uoz2pr+mgCs3LKLKfPW8n7OGr79eSsA3dIbcsNJXRiWmU7nFsVX/gzv0zqmSSNceZr4ji9h3V+jPa4xlc3VgzqybONOHpn2IxlNkxnRx5r+mvhbvmknk+etZXLOGuas3AbAEa1SuGlIV07rkU7HZg0CjtDxlURE5AbgW+A7Vc2NS0TGVDIiwl9HZLJySx43v5FDq0ZJHGlNf00c/LRhB5O9K475q7cD0KtNI24Z2o2hPdJpn+ZnRKmKIX6GeBCRfKA2oMASYBYuqcwCvlXVbfEIMlaysrI0O7tMrY+NKWLbrj2c/eRnbNq5m7euPpbDmla+f2hT9fy4Lpf3c9Yyed4afljrvpv3bZfKsMyWDDkinbZNkgOOEERklqpmRVznM4l0AD4ENgOLgbZALyAZl1jm4Eb3fUZV95cz7pizJGLK6+dNuxj+xGek1KvFW1cfS2Nr+mt8UlV+WJvL5Jw1vD9vLYvX70AE+rdvwtDMdE7rkU7LRrFrghsLsUwiHwBzVfWPIcuaAP8HXAS8AlyI60U+TFX3lCfwWLMkYmJh1vLNXPjMV/Ruk8qLvxtgTX9NqVSVeau28/68NUzOWcOyTbtIEDjysDSGZaYz5Ih0mqdU3u51JSURvzfWjwPuCV2gqpuBG0QkCXeFkoWbVOqPQLE3342pqvq1b8ID5/biuv98xy1v5vDgeb2s6a8pQlWZvWLrgXscK7fkkZggHNMxjcuP78ipR7SgaYOqP9as3ySyHugDTI+w7lXgOVX9s4g8hBvJ15KIqZbO7NWK5Zt28rcPFtE+LZkbTramvwb271e+/XkL7+esZcq8Nazelk/tROHYTk35/YmdOeXwFtWuCtRvEnkBuE1Epqvqd2HrWuP6jYC70f6X8gZnTGV2zeBOLN24i4c/+pGMtPpxbYtvKq99+5Vvlm1mcs4apsxfy7rtBdRJTOD4Lk258dSunNy9BY2SawcdZtz4TSJ3Aj2BL0XkVdyIumuBrsCfOTjwYl2gUt0PMSbWRITxZ2eyausu/vTGXFqlJjHgsCZBh2UqwN59+/lq6Wbez1nD1Plr2bhjN3VrJTCoazOGZbbkxG7NaViv+iaOUL6SiHejfLiIXA7cBPwa1ypLgPnAFd6mR+GaABtTrdWplcA/fp3FiCc/4/IXs63pbzW2Z99+Pl+yicle4tiyaw9JtRM5sVtzhmamM7hrc+rXLffsGlWOr9ZZRXZ2TX5bAhuAH9U7mIgcBSSraqR7J4Gx1lkmXpZv2smIJz6nUVJtJl51TLWr966pCvbu47PFG3k/Zy0ffr+ObXl7qF8nkZO6t2BYZjondGlOUp3q3zovZk18ww5aR1V3lyuyCmZJxMRT9rLN/OqZr+jdLpUXL7Wmv1VV/p59fLJoA5PnreWj79eRW7CXhvVqcUr3FgzNbMnAzk2pV7tm/W1j1sRXRGoBdwCXA01EZAvwEfCoqn5e7kiNqcKyMppw/7k9uf6V2Yx5M4cHrOlvlZG3ex8zFq7n/Xlrmb5gHTt37yM1uTan9UhnWGZLjumUZl8KiuG3Am8s8AfcCL6FPdZPBP4nImNV9Z6Sdjamujurd2t+3rSLBz5cRPu0+lx/cuegQzLF2Fmwl+k/rGfyvDV8/MMG8vbso0n9Ovyid2uGZaZzVIc0aifGa/LX6sNvEvktcKuqPhS6UEQuAZ4QkQWq+nbMojOmCrr2xE4s27SLhz5aREbTZM7qbU1/K4vt+XuYvmA97+esYeaiDRTs3U/TBnU5p19rhmW2ZEBGE2pZ4vDFbxJpiRtw8RCq+k8R6YLrpW5JxNRohU1/V27ZxU2vu6a//TOs6W9Qtu3aw4cL1jE5Zw3/+3Eju/ftJz2lHhcOaMewzJb0a9+YxASrdoyW3yTyI9AbNy1uuCnA1eUNyJjqoE6tBP7xm36c/cTnXP6Ca/qbYU1/K8zmnbv5YP5aJs9by2eLN7J3v9I6NYnfHt2eoZkt6dM2lQRLHDHhN4k8B/xZRGaq6uywdW2AHTGJyphqIDW5Ds9f3J/hj3/GJRO+YeLVx5CabE1/y2vSd6siTve6IbeAqfPdkOpf/rSZffuVtk2SuHTgYQzr0ZKebRpZQ4c48DuKrwBvAGfgxsqajOux3gnXY/0DVb0kDnHGhDXxNUH4ZtlmLnrmK/q0S+XFS4+kTi2rc4/WpO9WMWZiDnl79h1YVjtBaJeWzNKNO9mvcFjT+gzLTGdoj5Yc0SrFEkcMxLSfiIgkAKOB63FXH4U+AC5U1S3RBhpvlkRMUN6evYrrX5nN2X1b88C51vTXj337lU07ClifW8Bv//k1m3cW7Z5WK0G4enAnhmWm07VFQyvfGCtXPxERORk3a+FmAG+yqQeAB0SkK27QxeWqujKGMRtTrZzVuzXLN+3iwQ8XcVhafa47yZr+7t+vbNm1m3XbC1iXm8/67fnud+/n+tx81m3PZ+OO3ezbX/KX3X37lT+cYiMpB6Es90Q+AFRElnNwKtzC6XAXAgvjGJ8x1cZ1J3Zi2aadPPDhItqlVd+mv6rKtrw9IQkhn/W5B39ft72ADbkuSezZVzQ5NKlfh+YN69IipR7d0hvSIqUezRvWpXlKPW57ax4bdhQU2adVauWaCbAmKUsSOQLoC/TzHrcADXGJZSVF51lfF6dYjanSDjb9zeOm1+fSOjWJrCrU9FdVyS3YW+SKYd32fDYUJolct2z33qKzY6fUq0WLlHq0SKlHh2b13e9esmieUo8WKXVp1rBuiT3D83bvK3JPJKl2IjcN6RqX12xKF9XYWV6fkH4cTC59gEaAqmqlHRvA7omYymDLzt2c/eTnbMvbw1tXH0P7tOCb/u4s2HtINdL6wiThJYfCxBH64V2oQd1aNE+pS4uGLhGEJgWXKOrRPKVuzMabKq51lomfuAzAGOEknYC+qvpaTA4YB5ZETGWxbONORjzxGY3r12HiVfFr+pu/Z19YdVKBlxDyQ+5FFLCjYG+RfevVTiD9QEIIvWqoS3MvYTRPqUeDGjj8eU1TIUmkKrAkYiqTwqa/7dKS2VWwlzXb8sv8zbpg7z6vCikkKRy4ajh4/2F7ftHkUKdWwoF7Di0OJISQKwcvOTSsW8taORkghqP4GmNip39GE87LasNLX/18YNmqrXnc8uZclm/aSbeWKYfef8h1CWN9bkGxzVwLb0B3aFafozumHbgpXXgvokVKXRol1bbkYGIm0CQiItfgZkPM8BbNB+5S1f+WsE8m8BgwANgM/AO4U2vSJZWpNj5euKHIsvy9+3noox8PPE8QaOYlgjaNk+nXvvEhVwyFSaJJch0bysNUuKCvRFYCN+PG5EoARgKTRKSfqs4N31hEUoAPgU+A/ri53ScAO3F9V4ypUlZvzSt23bvXHkeLlLqkNahrAwSaSivQJBJh2PixInIVcDRQJIkAFwHJwEhVzQPmiUh34A8i8qBdjZiqplVqEqsiJJLWqUlktmkUQETG+FNpBvERkUQRuQBoABQ3S+LRwP+8BFJoKtCKg1VixlQZNw3pSlJY01fr92CqkqCrswrvcXwB1MONAjxCVXOK2TwdVwUWal3IuqURjn85bjpf2rVrF4uQjYmZwlZY1u/BVFWBJxHcsCm9gVTgHOBfIjJIVecVs314lZUUs9wtVH0aeBpcE9/yBmtMrA3v09qShqmyAk8iqrobN187QLaI9MeNEnxphM3X4q44QjX3ftpwK8YYU8EqzT2REAlA3WLWfQEMFJF6IctOAVYDy+IclzHGmDCBJhERuUdEBopIhohkish4YBDwsrd+vIhMC9nl38AuYIKI9BCRs3EDQlrLLGOMCUDQ1VnpwEvez224Zr1DVXWqt74l0LFwY1XdJiKnAI8D2cAWXP+QBysyaGOMMU7Q/URG+V3vtdw6Pk4hGWOM8aFGDcAoIhuA5eU4RFNgY4zCqQmsvPyx8vLHysuf8pRXe1VtFmlFjUoi5SUi2cWNZGmKsvLyx8rLHysvf+JVXpWxdZYxxpgqwpKIMcaYqFkS8efpoAOoYqy8/LHy8sfKy5+4lJfdEzHGGBM1uxIxxhgTNUsixhhjomZJxBhjTNRqbBIRkWtEZK6IbPceX4jI6SHrRUTGichqEckTkRkickTYMeqKyN9FZKOI7BSRd0SkTcW/moonIreKiIrIYyHLrMxCeGWhYY+1IeutvMKISEsR+ZeIbBCRfBH5XkROCFlvZeYRkWUR3l8qIv/11ldIWdXYJMLB+d37AlnAdNz87j299X8CbgSuw83nvh74UEQahhzjYdwcKBcCA4EU4D0ROXSqumpGRI4CLqPoFMZWZkUtxI0BV/jIDFln5RVCRFKBz3BzBJ0OdMeVzfqQzazMDurPoe+tvrh5lV7z1ldMWamqPbwHsBm4AvcmXgOMDVmXBOQCV3jPGwG7gYtCtmkL7AeGBP1a4lhGjYAlwInADOAxb7mVWdGyGgfMK2adlVfRMrkb+KyE9VZmJZffWGArkFyRZVWTr0QOkKLzux+GG1n4g8Jt1M3r/glwjLeoH1A7bJsVwIKQbaqjp4E3VHV62HIrs8g6iMgqEVkqIq+ISAdvuZVXUcOBr0TkVRFZLyKzReRaESmcvdTKrBheGV0KvKSqu6jAsqrRSUTcHCY7gALgKQ7O7144e2L4bInrQtalA/soOqBZ6DbViohcBnQCbo+w2sqsqK+AUcBQXPVfOvC5iKRh5RVJB+Bq4CdgCPAIcA9wjbfeyqx4p+ASx7Pe8worq6DnEwlaxPndQ9ZHms+9tN6ZZdmmyhGRrrjqhoHqpjQujpWZR1Unhz4XkS9xH5AjgS8LNwvbrcaWF+5LbbaqjvGefycinXFJ5LGQ7azMiroM+EZVZ4ctj3tZ1egrEVXdraqLVbXwjTsbN797YQuaSPO5F2b2tUAibnjl4rapTo7GvdZ5IrJXRPYCJwBXe79v8razMiuGqu4A5gOdsfdYJGuA78OWLQDaeb9bmUUgIs2Bs4BnQhZXWFnV6CQSQeH87ktxBXxK4Qpx87oPxN0zAZgF7Anbpg2uRUnhNtXJJFzLot4hj2zgFe/3RViZlcgrj264D0t7jxX1GdA1bFkXDs4BZGUW2ShclfwrIcsqrqyCblEQYEuGe7wCzcB9OI7HtUoY6q2/GdgOnA308P5Aq4GGIcd4ElgFnAz0AT7GXc0kBv36KqgMZ+C1zrIyi1g+f8NdrR0GHAm855VPeyuviOXV3/tQG4u793Yubtrsa+w9VmyZCe4L3DMR1lVIWQVeCAEW/gTcN5wCXPvpjwhp1ub9ccbhvjXmAzOBHmHHqAf8HVeVswt4F2gb9GurwDIMTyJWZoe+1sJ/2t3eP+qbwOFWXiWW2enAHK88FgG/xxso1sosYnkNxt2/GBBhXYWUlY3ia4wxJmp2T8QYY0zULIkYY4yJmiURY4wxUbMkYowxJmqWRIwxxkTNkogxxpioWRIxphyKmRQo/LGshP0nhGw3I2R5hrfsd2HbNxWR70Rks4j095Z9FHKMl+L1Wo2JpKYPwGhMeR0d9vwtXGe5cSHLCko5xlpgBK53cbFEpAUwDWgBnKgHB9u7Djc3xFtlitiYGLIkYkw5qOqXoc9FpADYGL68FAWlbS8irXEJpBFwgqoeGKhQVReEnNuYCmVJxJhKTkTa4aZvrotLIIsCDsmYAyyJGFO5dcDNRqfA8aq6NOB4jDmEJRFjKrcxuNnnjrAEYioja51lTOU2BTca6yMiUjfoYIwJZ0nEmMrtTeAS4FTgdRGpHXA8xhzCkogxlZyq/gu4EjgT+LeIJAYckjEHWBIxpgpQ1aeB64FfAi+IiP3vmkrBbqwbU0Wo6qPefZH7gAIRuVRtVjkTMEsixlQhqnq/l0juxE15enXAIZkazpKIMTGkqhnR7Ccitdzuus87zjJcq6xI57gLuCtk3wSsatoExN54xgSvPbAHN6xJND7w9m8fs4iMKSOxKlVjgiMiGUBT72muqi6M4hhdgBTv6SbrlGgqkiURY4wxUbPqLGOMMVGzJGKMMSZqlkSMMcZEzZKIMcaYqFkSMcYYE7X/BxX7nIvrArljAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "test = all_fim.extract_criteria()\n", + "\n", + "## draw 1D sensitivity curve \n", + "\n", + "fixed = {\"'CA0'\": 5.0}\n", + "\n", + "all_fim.figure_drawing(fixed, ['T'], 'Reactor case','T [K]','$C_{A0}$ [M]' )\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "7c1d751d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1.0, 2.0, 3.0, 4.0, 5.0]\n", + "[300.0, 400.0, 500.0, 600.0, 700.0]\n", + "[1099.5362969973296, 1084.3283554734471, 1068.601301120078, 1065.0006727947682, 1063.6386428489946, 1209.7245373586702, 1148.8927705828396, 1085.9845538701272, 1071.5820381828053, 1066.133920780468, 1393.3716046200643, 1256.5001279889048, 1114.9566412208942, 1082.550986869459, 1070.2927173372873, 1650.4774987815367, 1407.150428212321, 1155.5175636475976, 1097.9075158546405, 1076.1150325090841, 1981.042219842969, 1600.8436715191028, 1207.6673231394532, 1117.651620471588, 1083.6008663180692]\n", + "[[1099.536297 1084.32835547 1068.60130112 1065.00067279 1063.63864285]\n", + " [1209.72453736 1148.89277058 1085.98455387 1071.58203818 1066.13392078]\n", + " [1393.37160462 1256.50012799 1114.95664122 1082.55098687 1070.29271734]\n", + " [1650.47749878 1407.15042821 1155.51756365 1097.90751585 1076.11503251]\n", + " [1981.04221984 1600.84367152 1207.66732314 1117.65162047 1083.60086632]]\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fixed = {}\n", + "\n", + "#docc = all_fim.figure_result_data \n", + "#docc.loc[(docc['CA0']==1.0) & (docc['T']==300.0)]\n", + "\n", + "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" + ] + }, { "cell_type": "code", "execution_count": null, @@ -1557,34 +1296,73 @@ " )" ] }, + { + "cell_type": "markdown", + "id": "3b57a7a7", + "metadata": {}, + "source": [ + "### Draw heatmap figures" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "8db5ddd0", + "id": "07a12da5", "metadata": {}, "outputs": [], "source": [ - "print(all_fim)" + "test = all_fim.extract_criteria()\n", + "print(test)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ddedc7ad", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "## draw 1D sensitivity curve \n", + "\n", + "fixed = {\"'CA0'\": 1.0, \"'T2'\": 300}\n", + "\n", + "all_fim.figure_drawing(fixed, ['T'], 'Reactor case','T [K]','$C_{A0}$ [M]' )" ] }, { "cell_type": "code", "execution_count": null, - "id": "35e04de6", + "id": "b2d911d4", "metadata": {}, "outputs": [], "source": [ - "print(doe_object.all_fim)" + "\n", + "docc = all_fim.figure_result_data \n", + "#docc.loc[(docc['CA0']==1.0) & (docc['T']==300.0)]['A'].values.tolist()\n", + "\n", + "\n", + "\n", + "#aa = [1,1,4,4]\n", + "#print(set(aa))\n", + "#print(list(set(aa)))" ] }, { "cell_type": "code", "execution_count": null, - "id": "c3c33d98", + "id": "530ed2a2", "metadata": {}, "outputs": [], "source": [ - "print(all_fim.FIM_result_list)" + "fixed = {\"'T2'\": 300}\n", + "#print(all_fim.figure_result_data)\n", + "\n", + "docc = all_fim.figure_result_data \n", + "docc.loc[(docc['CA0']==1.0) & (docc['T']==300.0)]\n", + "\n", + "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" ] }, { @@ -1599,6 +1377,110 @@ "heatmap.heatmap('Reactor case', '$C_{A0}$ [M]', 'T [K]')" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "32c7da54", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4c083bf8", + "metadata": {}, + "outputs": [], + "source": [ + "x = [1,2]\n", + "y = [44, 55]\n", + "\n", + "fig = plt.figure()\n", + "plt.rc('axes', titlesize=14)\n", + "plt.rc('axes', labelsize=14)\n", + "plt.rc('xtick', labelsize=16)\n", + "plt.rc('ytick', labelsize=16)\n", + "ax = fig.add_subplot(111)\n", + "params = {'mathtext.default': 'regular'}\n", + "plt.rcParams.update(params)\n", + "ax.plot(x, y)\n", + "ax.set_yticks(range(len(yLabel)))\n", + "ax.set_yticklabels(yLabel)\n", + "ax.set_ylabel(ylabel_text)\n", + "ax.set_xticks(range(len(xLabel)))\n", + "ax.set_xticklabels(xLabel)\n", + "ax.set_xlabel(xlabel_text)\n", + "plt.title(title_text + ' - A optimality')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ac5db655", + "metadata": {}, + "outputs": [], + "source": [ + "filter = ''\n", + "for i in range(2):\n", + " filter += '(self.store_all_results_dataframe['\n", + " filter += \"'CA0'\"\n", + " filter += ']=='\n", + " filter += str(500)\n", + " filter += ')'\n", + " if i != 1:\n", + " filter += '&'\n", + " \n", + "print(filter)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b2f85ab", + "metadata": {}, + "outputs": [], + "source": [ + "d = [test['CA0']==1.0, test['T2']==500]\n", + "print(d)\n", + "\n", + "print(type((test['CA0']==1.0) & (test['T2']==500)))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "93642739", + "metadata": {}, + "outputs": [], + "source": [ + "ff = ''\n", + "for i in range(5):\n", + " ff += str(i)\n", + " \n", + "print(ff)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ec81f48", + "metadata": {}, + "outputs": [], + "source": [ + "#new_test = test.loc[(test['CA0']==1.0) & (test['T2']==500)]\n", + "dd = eval('(test[\"CA0\"]' + '==' + str(1.0) + ')&(' + 'test[\"T2\"]' + '==' + str(500)+')')\n", + "\n", + "new_test = test.loc[dd]\n", + "print(new_test)\n", + "\n", + "x_list = new_test['T'].values.tolist()\n", + "A_list = new_test['A'].values.tolist()\n", + "\n", + "print(x_list)\n", + "print(A_list)" + ] + }, { "cell_type": "markdown", "id": "65acbe46", @@ -1662,6 +1544,18 @@ "id": "3bd4852a", "metadata": {}, "outputs": [], + "source": [ + "col_names = dv_apply_name.copy()\n", + "col_names.append('A')\n", + "print(col_names)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7c156b4f", + "metadata": {}, + "outputs": [], "source": [] } ], From de7c392954d888bcc52d30eb0141469964da2422 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Mon, 9 Aug 2021 23:36:40 -0400 Subject: [PATCH 09/42] well commented --- pyomo/contrib/doe/DoE_package.py | 230 +-- pyomo/contrib/doe/reactor_control_doe.ipynb | 1942 +++++++++++++++---- 2 files changed, 1623 insertions(+), 549 deletions(-) diff --git a/pyomo/contrib/doe/DoE_package.py b/pyomo/contrib/doe/DoE_package.py index 3b9baa6b561..8635e9faf64 100644 --- a/pyomo/contrib/doe/DoE_package.py +++ b/pyomo/contrib/doe/DoE_package.py @@ -38,13 +38,13 @@ def __init__(self, param_init, design_variable_timepoints, measurement_variables # parameters self.param_init = param_init - self.param = list(param_init.keys()) - self.param_v = list(param_init.values()) + self.param_name = list(param_init.keys()) + self.param_value = list(param_init.values()) # design variable name self.design_timeset = design_variable_timepoints - self.dv_name = list(self.design_timeset.keys()) + self.design_name = list(self.design_timeset.keys()) # the control time point for each design variable - self.dv_time = list(self.design_timeset.values()) + self.design_time = list(self.design_timeset.values()) # model output (measurement) name self.measurement_variables = measurement_variables # model measurement time @@ -67,22 +67,22 @@ def __init__(self, param_init, design_variable_timepoints, measurement_variables # if print statements self.verbose = verbose - def __check_inputs(self, check_mode=False, check_dimension_dv=False): + def __check_inputs(self, check_mode=False): '''Check if inputs are consistent Parameters ---------- check_mode: check FIM calculation mode - check_dimension_dv: if the number of design variable is checked for heatmap ''' - if self.obj_opt not in ['det', 'trace', 'zero']: + if self.objective_option not in ['det', 'trace', 'zero']: raise ValueError('Error: Objective function should be chosen from "det", "zero" and "trace"') if self.formula not in ['central', 'forward', 'backward', None]: raise ValueError('Error: Finite difference scheme should be chosen from "central", "forward", "backward" and "none".') if self.prior_FIM is not None: - assert (np.shape(self.prior_FIM)[0] == np.shape(self.prior_FIM)[1]), 'Prior information should be a n*n matrix.' + assert (np.shape(self.prior_FIM)[0] == np.shape(self.prior_FIM)[1]), \ + 'Expect prior information matrix shape: ['+str(len(self.param_name))+','+str(len(self.param_name)) +']' if self.scale_nominal_param_value: print('Sensitivity information is scaled by its corresponding parameter nominal value.') @@ -91,14 +91,13 @@ def __check_inputs(self, check_mode=False, check_dimension_dv=False): print('Sensitivity information is scaled by constant ', self.scale_constant_value, ' times itself.') if check_mode: - # finite or sipopt needs to be chosen if self.mode not in ['simultaneous_finite', 'sequential_finite', 'sequential_sipopt', 'sequential_kaug']: print('Wrong mode. Choose from "simultaneous_finite", "sequential_finite", "0sequential_sipopt", "sequential_kaug"') - def optimize_doe(self, design_values, if_optimize=True, obj_opt='det', - scale_nominal_param_value=False, scale_constant_value=1, if_cho=False, L_LB = 1E-10, L_initial=None, + def optimize_doe(self, design_values, if_optimize=True, objective_option='det', + scale_nominal_param_value=False, scale_constant_value=1, if_Cholesky=False, L_LB = 1E-10, L_initial=None, formula='central', step=0.001, check=True): ''' Optimize DOE problem with design variables being the decisions. @@ -111,10 +110,10 @@ def optimize_doe(self, design_values, if_optimize=True, obj_opt='det', ----------- design_values: initial point for optimization, a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point if_optimize: if True, continue to do optimization. else, just run square problem with given design variable values - obj_opt: supporting maximizing the 'det' determinant or the 'trace' trace of the FIM + objective_option: supporting maximizing the 'det' determinant or the 'trace' trace of the FIM scale_nominal_param_value: if scale Jacobian by the corresponding parameter nominal value scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small - if_cho: if true, cholesky decomposition is used for Objective function (to optimize determinant). + if_Cholesky: if true, cholesky decomposition is used for Objective function (to optimize determinant). L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 L_initial: initialize the L formula: Finite difference formula, choose from 'central', 'forward', 'backward', None @@ -138,10 +137,10 @@ def optimize_doe(self, design_values, if_optimize=True, obj_opt='det', # store inputs in object self.design_values = design_values self.optimize = if_optimize - self.obj_opt = obj_opt + self.objective_option = objective_option self.scale_nominal_param_value = scale_nominal_param_value self.scale_constant_value = scale_constant_value - self.cho_opt = if_cho + self.Cholesky_option = if_Cholesky self.L_LB = L_LB self.L_initial = L_initial self.formula = formula @@ -155,7 +154,7 @@ def optimize_doe(self, design_values, if_optimize=True, obj_opt='det', # check if inputs are valid # simultaneous mode does not need to check mode and dimension of design variables if check: - self.__check_inputs(check_mode=False, check_dimension_dv=False) + self.__check_inputs(check_mode=False) # build the large DOE pyomo model m = self.__create_doe_model() @@ -166,15 +165,15 @@ def optimize_doe(self, design_values, if_optimize=True, obj_opt='det', # result_square: solver result result_square = self.__solve_doe(m, fix=True) - analysis_square = FIM_result(self.param, prior_FIM=self.prior_FIM, scale_constant_value=self.scale_constant_value) - analysis_square.extract_FIM(m, self.design_timeset, result_square, obj=obj_opt) + analysis_square = FIM_result(self.param_name, prior_FIM=self.prior_FIM, scale_constant_value=self.scale_constant_value) + analysis_square.extract_FIM(m, self.design_timeset, result_square, obj=objective_option) if self.optimize: # solve problem with DOF then result_doe = self.__solve_doe(m, fix=False) - analysis_optimize = FIM_result(self.param, prior_FIM=self.prior_FIM) - analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, obj=obj_opt) + analysis_optimize = FIM_result(self.param_name, prior_FIM=self.prior_FIM) + analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, obj=objective_option) return analysis_square, analysis_optimize @@ -184,7 +183,7 @@ def optimize_doe(self, design_values, if_optimize=True, obj_opt='det', def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=None, specified_prior=None, tee_opt=True, scale_nominal_param_value=False, scale_constant_value=1, formula='central', step=0.01, - if_Cho=False, L_LB=1E-10, L_initial=None): + if_Cholesky=False, L_LB=1E-10, L_initial=None): ''' This function solves a square Pyomo model with fixed design variables to compute the FIM. The problem is structured in one of the four following modes: @@ -209,7 +208,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 Cholesky option: - if_Cho: if true, Cholesky decomposition is used for Objective function (to optimize determinant). + if_Cholesky: if true, Cholesky decomposition is used for Objective function (to optimize determinant). L_LB: if FIM is positive definite, the diagonal element should be positive, so we can set a LB like 1E-10 L_initial: initialize the L @@ -228,10 +227,10 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # This method only solves square problem self.optimize = False # Set the Objective Function to 0 helps solve square problem quickly - self.obj_opt = 'zero' + self.objective_option = 'zero' self.tee_opt = tee_opt - self.cho_opt = if_Cho + self.Cholesky_option = if_Cholesky self.L_LB = L_LB self.L_initial = L_initial @@ -240,7 +239,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No self.fim_scale_constant_value = self.scale_constant_value ** 2 # check inputs valid - self.__check_inputs(check_mode=True, check_dimension_dv=False) + self.__check_inputs(check_mode=True) # if using simultaneous model if (self.mode == 'simultaneous_finite'): @@ -255,7 +254,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No else: prior_in_use = specified_prior - FIM_analysis = FIM_result(self.param, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) # add the formed simultaneous model to the object so that users can have access self.m = m @@ -264,7 +263,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No return FIM_analysis elif self.mode=='sequential_finite': - no_para = len(self.param) + no_para = len(self.param_name) # if using sequential model # call generator function to get scenario dictionary @@ -306,7 +305,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No output_record[no_s] = output_combine # After collecting outputs from all scenarios, calculate sensitivity - for para in self.param: + for para in self.param_name: # extract involved scenario No. for each parameter from scenario class involved_s = scena_gen.scenario_para[para] # each parameter has two involved scenarios @@ -329,7 +328,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No else: prior_in_use = specified_prior - FIM_analysis = FIM_result(self.param, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) # Store the Jacobian information for access by users self.jac = jac @@ -350,7 +349,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No jac={} # loop over parameters - for pa in range(len(self.param)): + for pa in range(len(self.param_name)): perturb_mea = [] base_mea = [] @@ -382,7 +381,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # parameter name lists for sipopt list_original = [] list_perturb = [] - for ele in self.param: + for ele in self.param_name: list_original.append(eval('mod.'+ele+'[0]')) for elem in self.perturb_names: list_perturb.append(eval('mod.'+elem+'[0]')) @@ -390,7 +389,6 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # solve model if self.mode =='sequential_sipopt': m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=self.tee_opt, solver_options='ma57') - # TODO: add k_aug solver else: m_sipopt = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=True) @@ -427,7 +425,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # After collecting outputs from all scenarios, calculate sensitivity - for count, para in enumerate(self.param): + for count, para in enumerate(self.param_name): list_jac = [] for i in range(len(all_perturb_measure[0])): if self.scale_nominal_param_value: @@ -445,7 +443,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No prior_in_use = specified_prior # Assemble and analyze results - FIM_analysis = FIM_result(self.param, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) self.jac = jac @@ -483,12 +481,12 @@ def generate_sequential_experiments(self, design_values_set, mode='sequential_fi self.scale_nominal_param_value = scale_nominal_param_value self.scale_constant_value = scale_constant_value # Set the Objective Function to 0 helps solve square problem quickly - self.obj_opt = 'zero' + self.objective_option = 'zero' # calculate how much the FIM element is scaled by a constant number self.fim_scale_constant_value = self.scale_constant_value ** 2 - self.__check_inputs(check_mode=True, check_dimension_dv=False) + self.__check_inputs(check_mode=True) # store all results object list result_object_list = [] @@ -513,9 +511,9 @@ def generate_sequential_experiments(self, design_values_set, mode='sequential_fi formula=formula, step=step) if (self.mode == 'simultaneous_finite'): - result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.obj_opt, add_fim=True) + result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.objective_option, add_fim=True) - elif (self.mode in ['sequential_finite', 'sequential_sipopt']): + elif (self.mode in ['sequential_finite', 'sequential_sipopt', 'sequential_kaug']): result_iter.calculate_FIM(self.jac, self.design_values) # attach these results to the store list @@ -558,7 +556,7 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, figure_draw_object: a combined result object of class Grid_search_result ''' # Set the Objective Function to 0 helps solve square problem quickly - self.obj_opt='zero' + self.objective_option='zero' self.filename = filename # calculate how much the FIM element is scaled @@ -609,12 +607,9 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, formula=formula, step=step) if (mode=='simultaneous_finite'): - result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, obj_opt) + result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, objective_option) - elif (mode == 'sequential_finite'): - result_iter.calculate_FIM(self.jac, self.design_values) - - elif (mode == 'sequential_sipopt'): + elif (mode in ['sequential_finite', 'sequential_sipopt', 'sequential_kaug']): result_iter.calculate_FIM(self.jac, self.design_values) t_now = time.time() @@ -646,101 +641,6 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, return figure_draw_object - def sensitivity_analysis_1D(self, design_values, design_var_range, sensitivity_step=0.1, compare_opt='D', - mode='sequential_finite', tee_option=False, - scale_nominal_param_value=False, scale_constant_value=1, - formula='central', step=0.001): - ''' - This method is used for 1D sensitivity analysis. - TODO: Let's decide if we are gonna keep this. This seems not necessary to this package. - Parameters: - ----------- - design_values: a dict whose keys are design variable names, - values are a dict whose keys are time point and values are the design variable value at that time point - design_var_range: a dict, the key is the design variable name to conduct analysis, - the value is a list [Lower bound, Upper bound] for this sensitivity analysis - sensitivity_step: the interval of the design range. For e.g., 0.2 in [2,3], then design variable is computed at [2,2.2,2.4,2.6,2.8] - compare_opt: which design criteria is to compare. Choose from 'A', 'D', 'E', 'ME' - mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' - tee_option: if IPOPT console output is printed - scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init - scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small - formula: choose from 'central', 'forward', 'backward', None - step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 - - Returns: - -------- - result_list: a list of the specified optimality value - ''' - - self.design_values = design_values - self.formula = formula - self.mode = mode - self.scale_nominal_param_value = scale_nominal_param_value - self.scale_constant_value = scale_constant_value - # Set the Objective Function to 0 helps solve square problem quickly - self.obj_opt = 'zero' - - # calculate how much the FIM element is scaled - self.fim_scale_constant_value = self.scale_constant_value ** 2 - - self.__check_inputs(check_mode=True, check_dimension_dv=False) - - # get the name and the range of the design variable to conduct analysis - vary_dv_name = list(design_var_range.keys()) - vary_range_list = list(design_var_range.values()) - vary_range = np.arange(vary_range_list[0][0], vary_range_list[0][1], step=sensitivity_step) - if self.verbose: - print('Sensitivity analysis is for ', vary_dv_name, ' at the range ', vary_range_list) - print('At the points:', vary_range) - - dv_time_set = list(design_values[vary_dv_name[0]].keys()) - - # store the criteria value of every run - result_list= [] - # loop over the test points - for i in range(len(vary_range)): - if self.verbose: - print('This is the ',i,'-th iteration') - design_value_list = design_values.copy() - for t in dv_time_set: - design_value_list[vary_dv_name[0]][t] = vary_range[i] - if self.verbose: - print('Design variables for this run:', design_value_list) - - # compute square problems - result_iter = self.compute_FIM(design_value_list, mode=self.mode, - tee_opt=tee_option, - scale_nominal_param_value=self.scale_nominal_param_value, - formula=formula, step=step) - - if (self.mode == 'simultaneous_finite'): - result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.obj_opt) - - elif (self.mode in ['sequential_finite','sequential_sipopt']): - result_iter.calculate_FIM(self.jac, self.design_values) - - # decide which design criteria is the user asked for - if compare_opt == 'A': - result_list.append(result_iter.trace) - - elif compare_opt =='D': - result_list.append(result_iter.det) - - elif compare_opt =='E': - result_list.append(result_iter.min_eig) - - elif compare_opt =='ME': - result_list.append(result_iter.cond) - - sensi_result_dict = {} - for i in range(len(result_list)): - sensi_result_dict[vary_range[i]] = result_list[i] - - if self.verbose: - print('The result list:', result_list) - return sensi_result_dict - def __create_doe_model(self): ''' @@ -754,11 +654,11 @@ def __create_doe_model(self): self.optimize: if True, solve the problem unfixing the design variables. if False, solve the problem as a square problem - self.obj_opt: choose from 'det' or 'trace'. Optimization problem maximizes determinant or trace. + self.objective_option: choose from 'det' or 'trace'. Optimization problem maximizes determinant or trace. self.scale_nominal_param_value: if True, scale FIM but not scale Jacobian. This toggle can be opened for better performance when the problem is poorly scaled. self.tee_opt: if True, print IPOPT console output - self.cho_opt: if true, cholesky decomposition is used for Objective function (to optimize determinant). If true, determinant will not be calculated. + self.Cholesky_option: if true, cholesky decomposition is used for Objective function (to optimize determinant). If true, determinant will not be calculated. self.L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 self.L_initial: initialize the L self.formula: choose from 'central', 'forward', 'backward', None @@ -766,7 +666,7 @@ def __create_doe_model(self): Return: ------- - m: the solved DOE model + m: the DOE model ''' # call generator function to get scenario dictionary scena_gen = Scenario_generator(self.param_init, formula=self.formula, step=self.step, store=True) @@ -784,8 +684,8 @@ def __create_doe_model(self): time_set.append(value(t)) # create parameter, measurement, time and measurement time set - m.para_set = Set(initialize=self.param) - param_name = self.param + m.para_set = Set(initialize=self.param_name) + param_name = self.param_name m.y_set = Set(initialize=self.measurement_variables) m.t_set = Set(initialize=time_set) m.tmea_set = Set(initialize=self.measurement_timeset) @@ -800,8 +700,8 @@ def __create_doe_model(self): raise ValueError('Warning: Measure timepoints should be in the time list.') # check if control time points are in the time set - for d in range(len(self.dv_name)): - for t in self.dv_time[d]: + for d in range(len(self.design_name)): + for t in self.design_time[d]: if not (t in m.t): raise ValueError('Warning: Control timepoints should be in the time list.') @@ -817,26 +717,26 @@ def identity_matrix(m,j,d): return 0 m.FIM = Var(m.para_set, m.para_set, initialize=identity_matrix) - if self.obj_opt=='trace': + if self.objective_option=='trace': # Trace of FIM m.trace = Var(initialize=1, within=NonNegativeReals) - elif self.obj_opt=='det': + elif self.objective_option=='det': # Determinant of FIM m.det = Var(initialize=0.5, within=NonNegativeReals) - elif (self.obj_opt != 'zero'): + elif (self.objective_option != 'zero'): raise ValueError('Undefined objective function type. Available options are "trace" and "det".') - + # reformulate the L matrix initial point to a dictionary if self.L_initial is not None: dict_cho={} for i, bu in enumerate(m.para_set): for j, un in enumerate(m.para_set): dict_cho[(bu,un)] = self.L_initial[i][j] - + # use the L dictionary to initialize L matrix def init_cho(m,i,j): return dict_cho[(i,j)] - if self.cho_opt: + if self.Cholesky_option: # Define elements of Cholesky decomposition matrix as Pyomo variables and either # Initialize with L in L_initial if self.L_initial is not None: @@ -949,18 +849,18 @@ def cholesky_imp(m,c,d): # Only giving the objective function when there's Degree of freedom. Make OBJ=0 when it's a square problem, which helps converge. if self.optimize: # if cholesky, calculating L and evaluate the OBJ with Cholesky decomposition - if self.cho_opt: + if self.Cholesky_option: m.cholesky_cons = Constraint(m.para_set, m.para_set, rule=cholesky_imp) m.obj = Objective(expr=2*sum(log(m.L_ele[j,j]) for j in m.para_set), sense=maximize) # if not cholesky but determinant, calculating det and evaluate the OBJ with det - elif (self.obj_opt=='det'): + elif (self.objective_option=='det'): m.det_rule = Constraint(rule=det_general) m.obj = Objective(expr=log(m.det), sense=maximize) # if not determinant or cholesky, calculating the OBJ with trace - elif (self.obj_opt=='trace'): + elif (self.objective_option=='trace'): m.trace_rule = Constraint(rule=trace_calc) m.obj = Objective(expr=log(m.trace), sense=maximize) - elif (self.obj_opt=='zero'): + elif (self.objective_option=='zero'): m.obj = Objective(expr=0) else: m.obj = Objective(expr=0) @@ -982,8 +882,8 @@ def __fix_design(self, m, design_val, fix_opt=True): m: model ''' # loop over the design variables and time index and to fix values specified in design_val - for d, dname in enumerate(self.dv_name): - for t, time in enumerate(self.dv_time[d]): + for d, dname in enumerate(self.design_name): + for t, time in enumerate(self.design_time[d]): newvar = eval('m.' + dname + '[' + str(time) + ']') fix_v = design_val[dname][time] if fix_opt: @@ -1033,13 +933,13 @@ def __add_parameter(self, m, perturb=0): perturb: which parameter to perturb ''' # model parameters perturbation, backward disturb - param_backward = self.param_v.copy() + param_backward = self.param_value.copy() # perturb parameter param_backward[perturb] *= (1-self.step) # generate sIPOPT perturbed parameter names - param_perturb_names = self.param.copy() - for x, xname in enumerate(self.param): + param_perturb_names = self.param_name.copy() + for x, xname in enumerate(self.param_name): param_perturb_names[x] = xname+'_pert' if self.verbose: print('perturb names are:', param_perturb_names) @@ -1703,10 +1603,12 @@ def figure_drawing(self, fixed_design_dimensions, sensitivity_dimension, title_t assert (len(self.fixed_design_names)+len(self.sensitivity_dimension)==len(self.design_names)), \ 'Error: All dimensions except for those the figures are drawn by should be fixed.' - assert (len(self.sensitivity_dimension) is in [1,2]), 'Error: Either 1D or 2D figures can be drawn.' + assert (len(self.sensitivity_dimension) in [1,2]), 'Error: Either 1D or 2D figures can be drawn.' # generate a combination of logic sentences to filter the results of the DOF needed. if len(self.fixed_design_names) != 0: + if self.verbose: + print( self.fixed_design_names, 'is/are fixed.') filter = '' for i in range(len(self.fixed_design_names)): filter += '(self.store_all_results_dataframe[' @@ -1727,9 +1629,13 @@ def figure_drawing(self, fixed_design_dimensions, sensitivity_dimension, title_t # if one design variable name is given as DOF, draw 1D sensitivity curve if (len(sensitivity_dimension) == 1): + if self.verbose: + print('1D sensitivity curve is plotted with ', self.sensitivity_dimension[0], '.') self.__curve1D(title_text, xlabel_text, font_axes=16, font_tick=14, log_scale=True) # if two design variable names are given as DOF, draw 2D heatmaps elif (len(sensitivity_dimension) == 2): + if self.verbose: + print('2D heatmap is plotted with ', self.sensitivity_dimension, '.') self.__heatmap(title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True) diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 21638e6b986..efad8d40196 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -246,10 +246,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "d3ee5ff9", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Design variable: {'CA0': {0: 5}, 'T': {0: 570.21, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n" + ] + } + ], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", @@ -268,12 +276,898 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "latin-medicare", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 83.94294994963053\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 861\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 0.0000000e+00 1.65e+01 9.45e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.41e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.60e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 4\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.5974421785358572e-10 1.5974421785358572e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.5974421785358572e-10 1.5974421785358572e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 5\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3347\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 637\n", + "\n", + "Total number of variables............................: 865\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 865\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 3.00e-02 1.06e-01 -1.0 3.00e+00 - 9.83e-01 9.90e-01h 1\n", + " 2 0.0000000e+00 2.97e-04 3.30e-02 -1.0 3.00e-02 - 1.00e+00 9.90e-01h 1\n", + " 3 0.0000000e+00 8.69e-11 1.04e-05 -2.5 2.97e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 8.6894824669059290e-11 8.6894824669059290e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 8.6894824669059290e-11 8.6894824669059290e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", + "Pass the option square_override for the desired behaviour\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.0424246; Max residual ratio 1e-10.\n", + "\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 865\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 865\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 865, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3347\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 637\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", + "I[MA57]...\t[]***\n", + " Runtime parameters:\n", + " Objective type: METIS_OBJTYPE_CUT\n", + " Coarsening type: Unknown!\n", + " Initial partitioning type: Unknown!\n", + " Refinement type: Unknown!\n", + " Perform a 2-hop matching: No\n", + " Number of balancing constraints: 1\n", + " Number of refinement iterations: 367059612\n", + " Random number seed: 0\n", + " Number of separators: 32767\n", + " Compress graph prior to ordering: No\n", + " Detect & order connected components separately: No\n", + " Prunning factor for high degree vertices: 54009036.000000\n", + " Allowed maximum load imbalance: 1.515 \n", + "\n", + "Input Error: Incorrect objective type.\n", + " nbrpool statistics\n", + " nbrpoolsize: 0 nbrpoolcpos: 0\n", + " nbrpoolreallocs: 0\n", + "\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 4.242461e-02 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.04242460886564457.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=865, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.007924, Fact 0.011652, Overall 0.013481.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dsdp_mode=\n", + "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", + "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", + "I[[DOT_SENS]]...\t[MAIN]Number of variables 865\n", + "I[[DOT_SENS]]...\t[MAIN]Number of constraints 865\n", + "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1730\n", + "\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", + "\n", + "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", + "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", + "I[[DOT_SENS]]...\t[MAIN]Timing..0.007993 sec.\n", + "[[5.0, 0.6832750353394478, 0.42943599121105774, 0.2698933785431825, 0.1696199791728075, 0.10659893078129046, 0.06699152119443698, 0.04209960855357131, 0.026456207096238946, 0.0, 1.4352505712331582, 1.523001064451413, 1.5126471751759896, 1.447541769219542, 1.354205549113907, 1.2486557820351374, 1.1403764385473907, 1.0348065168209184, 0.0, 2.8814743934273936, 3.047562944337529, 3.2174594462808273, 3.38283825160765, 3.539195520104802, 3.684352696770426, 3.817523952899038, 3.938737276082843]]\n", + "[[5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118]]\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 368.0005567983665\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 15.047135137500822\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 861\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 0.0000000e+00 1.65e+01 9.45e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.41e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.60e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 4\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.5974421785358572e-10 1.5974421785358572e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.5974421785358572e-10 1.5974421785358572e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 5\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3347\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 637\n", + "\n", + "Total number of variables............................: 865\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 865\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 3.00e-02 1.06e-01 -1.0 3.00e+00 - 9.83e-01 9.90e-01h 1\n", + " 2 0.0000000e+00 2.97e-04 3.30e-02 -1.0 3.00e-02 - 1.00e+00 9.90e-01h 1\n", + " 3 0.0000000e+00 8.69e-11 1.04e-05 -2.5 2.97e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 8.6894824669059290e-11 8.6894824669059290e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 8.6894824669059290e-11 8.6894824669059290e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", + "Pass the option square_override for the desired behaviour\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.0424246; Max residual ratio 1e-10.\n", + "\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 865\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 865\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 865, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3347\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 637\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", + "I[MA57]...\t[]***\n", + " Runtime parameters:\n", + " Objective type: METIS_OBJTYPE_CUT\n", + " Coarsening type: Unknown!\n", + " Initial partitioning type: Unknown!\n", + " Refinement type: Unknown!\n", + " Perform a 2-hop matching: No\n", + " Number of balancing constraints: 1\n", + " Number of refinement iterations: 279691932\n", + " Random number seed: 0\n", + " Number of separators: 32767\n", + " Compress graph prior to ordering: No\n", + " Detect & order connected components separately: No\n", + " Prunning factor for high degree vertices: 54009036.000000\n", + " Allowed maximum load imbalance: 1.515 \n", + "\n", + "Input Error: Incorrect objective type.\n", + " nbrpool statistics\n", + " nbrpoolsize: 0 nbrpoolcpos: 0\n", + " nbrpoolreallocs: 0\n", + "\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 4.242461e-02 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.04242460886564457.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=865, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.007378, Fact 0.010826, Overall 0.012592.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dsdp_mode=\n", + "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", + "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", + "I[[DOT_SENS]]...\t[MAIN]Number of variables 865\n", + "I[[DOT_SENS]]...\t[MAIN]Number of constraints 865\n", + "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1730\n", + "\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", + "\n", + "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", + "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", + "I[[DOT_SENS]]...\t[MAIN]Timing..0.008005 sec.\n", + "[[5.0, 0.6832750353394478, 0.42943599121105774, 0.2698933785431825, 0.1696199791728075, 0.10659893078129046, 0.06699152119443698, 0.04209960855357131, 0.026456207096238946, 0.0, 1.4352505712331582, 1.523001064451413, 1.5126471751759896, 1.447541769219542, 1.354205549113907, 1.2486557820351374, 1.1403764385473907, 1.0348065168209184, 0.0, 2.8814743934273936, 3.047562944337529, 3.2174594462808273, 3.38283825160765, 3.539195520104802, 3.684352696770426, 3.817523952899038, 3.938737276082843], [5.0, 0.6698162507471999, 0.4190505080890977, 0.2621664197214325, 0.16401658106306446, 0.10261206943355114, 0.06419617288197853, 0.04016241593643193, 0.025126414573272388, 0.0, 1.4491890996795045, 1.5341343823135045, 1.5216981959749127, 1.455191365788697, 1.360993915556104, 1.254968438976971, 1.1464646170285762, 1.0408175245010183, 0.0, 2.8809946495732954, 3.0468151095973974, 3.216135384303654, 3.380792053148238, 3.536394015010345, 3.6808353881410505, 3.813372967034992, 3.93405606092571]]\n", + "[[5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118]]\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.699261707746163\n", + "E2_pert : 15.047135137500822\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 861\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 0.0000000e+00 1.65e+01 9.45e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.41e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.60e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 4\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.5974421785358572e-10 1.5974421785358572e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.5974421785358572e-10 1.5974421785358572e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 5\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3347\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 637\n", + "\n", + "Total number of variables............................: 865\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 865\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 3.00e-02 1.06e-01 -1.0 3.00e+00 - 9.83e-01 9.90e-01h 1\n", + " 2 0.0000000e+00 2.97e-04 3.30e-02 -1.0 3.00e-02 - 1.00e+00 9.90e-01h 1\n", + " 3 0.0000000e+00 8.69e-11 1.04e-05 -2.5 2.97e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 8.6894824669059290e-11 8.6894824669059290e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 8.6894824669059290e-11 8.6894824669059290e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", + "Pass the option square_override for the desired behaviour\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.0424246; Max residual ratio 1e-10.\n", + "\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 865\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 865\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 865, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3347\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 637\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", + "I[MA57]...\t[]***\n", + " Runtime parameters:\n", + " Objective type: METIS_OBJTYPE_CUT\n", + " Coarsening type: Unknown!\n", + " Initial partitioning type: Unknown!\n", + " Refinement type: Unknown!\n", + " Perform a 2-hop matching: No\n", + " Number of balancing constraints: 1\n", + " Number of refinement iterations: 225989276\n", + " Random number seed: 0\n", + " Number of separators: 32767\n", + " Compress graph prior to ordering: No\n", + " Detect & order connected components separately: No\n", + " Prunning factor for high degree vertices: 54009036.000000\n", + " Allowed maximum load imbalance: 1.515 \n", + "\n", + "Input Error: Incorrect objective type.\n", + " nbrpool statistics\n", + " nbrpoolsize: 0 nbrpoolcpos: 0\n", + " nbrpoolreallocs: 0\n", + "\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 4.242461e-02 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.04242460886564457.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=865, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.007178, Fact 0.010947, Overall 0.012719.\n", + "dsdp_mode=\n", + "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", + "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", + "I[[DOT_SENS]]...\t[MAIN]Number of variables 865\n", + "I[[DOT_SENS]]...\t[MAIN]Number of constraints 865\n", + "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1730\n", + "\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", + "\n", + "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", + "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", + "I[[DOT_SENS]]...\t[MAIN]Timing..0.00745 sec.\n", + "[[5.0, 0.6832750353394478, 0.42943599121105774, 0.2698933785431825, 0.1696199791728075, 0.10659893078129046, 0.06699152119443698, 0.04209960855357131, 0.026456207096238946, 0.0, 1.4352505712331582, 1.523001064451413, 1.5126471751759896, 1.447541769219542, 1.354205549113907, 1.2486557820351374, 1.1403764385473907, 1.0348065168209184, 0.0, 2.8814743934273936, 3.047562944337529, 3.2174594462808273, 3.38283825160765, 3.539195520104802, 3.684352696770426, 3.817523952899038, 3.938737276082843], [5.0, 0.6698162507471999, 0.4190505080890977, 0.2621664197214325, 0.16401658106306446, 0.10261206943355114, 0.06419617288197853, 0.04016241593643193, 0.025126414573272388, 0.0, 1.4491890996795045, 1.5341343823135045, 1.5216981959749127, 1.455191365788697, 1.360993915556104, 1.254968438976971, 1.1464646170285762, 1.0408175245010183, 0.0, 2.8809946495732954, 3.0468151095973974, 3.216135384303654, 3.380792053148238, 3.536394015010345, 3.6808353881410505, 3.813372967034992, 3.93405606092571], [5.0, 0.6476040701277532, 0.3990262628897322, 0.24580513799625078, 0.15138218743814819, 0.09320722224320173, 0.05737355811237, 0.035306748054641346, 0.021721182621793508, 0.0, 1.4358882762009282, 1.518572499021414, 1.502703632157189, 1.4331187182580927, 1.3367280149534337, 1.2294601851156572, 1.1205402238024214, 1.015121670041656, 0.0, 2.9165076536713186, 3.082401238088854, 3.2514912298465597, 3.4154990943037586, 3.5700647628033644, 3.7131662567719728, 3.8441530281429372, 3.963157147336551]]\n", + "[[5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118]]\n", + "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", + "Perturbation parameters are set:\n", + "A1_pert : 84.79085853498033\n", + "A2_pert : 371.71773413976416\n", + "E1_pert : 7.777032028026428\n", + "E2_pert : 14.896663786125814\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 861\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 2 0.0000000e+00 1.65e+01 9.45e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.41e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.60e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 4\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.5974421785358572e-10 1.5974421785358572e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.5974421785358572e-10 1.5974421785358572e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 5\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.006\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 3347\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 637\n", + "\n", + "Total number of variables............................: 865\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 865\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 3.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 3.00e-02 1.06e-01 -1.0 3.00e+00 - 9.83e-01 9.90e-01h 1\n", + " 2 0.0000000e+00 2.97e-04 3.30e-02 -1.0 3.00e-02 - 1.00e+00 9.90e-01h 1\n", + " 3 0.0000000e+00 8.69e-11 1.04e-05 -2.5 2.97e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 8.6894824669059290e-11 8.6894824669059290e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 8.6894824669059290e-11 8.6894824669059290e-11\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", + "Pass the option square_override for the desired behaviour\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.0424246; Max residual ratio 1e-10.\n", + "\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 865\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 865\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 865, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3347\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 637\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", + "I[MA57]...\t[]***\n", + " Runtime parameters:\n", + " Objective type: METIS_OBJTYPE_CUT\n", + " Coarsening type: Unknown!\n", + " Initial partitioning type: Unknown!\n", + " Refinement type: Unknown!\n", + " Perform a 2-hop matching: No\n", + " Number of balancing constraints: 1\n", + " Number of refinement iterations: 284648092\n", + " Random number seed: 0\n", + " Number of separators: 32767\n", + " Compress graph prior to ordering: No\n", + " Detect & order connected components separately: No\n", + " Prunning factor for high degree vertices: 54009036.000000\n", + " Allowed maximum load imbalance: 1.515 \n", + "\n", + "Input Error: Incorrect objective type.\n", + " nbrpool statistics\n", + " nbrpoolsize: 0 nbrpoolcpos: 0\n", + " nbrpoolreallocs: 0\n", + "\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 4.242461e-02 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.04242460886564457.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=865, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.007635, Fact 0.011473, Overall 0.013805.\n", + "dsdp_mode=\n", + "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", + "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", + "I[[DOT_SENS]]...\t[MAIN]Number of variables 865\n", + "I[[DOT_SENS]]...\t[MAIN]Number of constraints 865\n", + "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1730\n", + "\n", + "\n", + "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", + "\n", + "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", + "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", + "I[[DOT_SENS]]...\t[MAIN]Timing..0.009184 sec.\n", + "[[5.0, 0.6832750353394478, 0.42943599121105774, 0.2698933785431825, 0.1696199791728075, 0.10659893078129046, 0.06699152119443698, 0.04209960855357131, 0.026456207096238946, 0.0, 1.4352505712331582, 1.523001064451413, 1.5126471751759896, 1.447541769219542, 1.354205549113907, 1.2486557820351374, 1.1403764385473907, 1.0348065168209184, 0.0, 2.8814743934273936, 3.047562944337529, 3.2174594462808273, 3.38283825160765, 3.539195520104802, 3.684352696770426, 3.817523952899038, 3.938737276082843], [5.0, 0.6698162507471999, 0.4190505080890977, 0.2621664197214325, 0.16401658106306446, 0.10261206943355114, 0.06419617288197853, 0.04016241593643193, 0.025126414573272388, 0.0, 1.4491890996795045, 1.5341343823135045, 1.5216981959749127, 1.455191365788697, 1.360993915556104, 1.254968438976971, 1.1464646170285762, 1.0408175245010183, 0.0, 2.8809946495732954, 3.0468151095973974, 3.216135384303654, 3.380792053148238, 3.536394015010345, 3.6808353881410505, 3.813372967034992, 3.93405606092571], [5.0, 0.6476040701277532, 0.3990262628897322, 0.24580513799625078, 0.15138218743814819, 0.09320722224320173, 0.05737355811237, 0.035306748054641346, 0.021721182621793508, 0.0, 1.4358882762009282, 1.518572499021414, 1.502703632157189, 1.4331187182580927, 1.3367280149534337, 1.2294601851156572, 1.1205402238024214, 1.015121670041656, 0.0, 2.9165076536713186, 3.082401238088854, 3.2514912298465597, 3.4154990943037586, 3.5700647628033644, 3.7131662567719728, 3.8441530281429372, 3.963157147336551], [5.0, 0.6698162507471997, 0.4190505080890971, 0.2621664197214327, 0.16401658106306558, 0.10261206943355108, 0.06419617288179548, 0.0401624159363152, 0.025126414573196105, 0.0, 1.3916629949991055, 1.4716287077844512, 1.4545107604800949, 1.3841341318200104, 1.287085934152803, 1.1792609555949867, 1.0699465097479768, 0.9643689489432059, 0.0, 2.9385207542536946, 3.1093207841264516, 3.283322819798472, 3.4518492871169237, 3.610301996413646, 3.756542871523218, 3.889891074315708, 4.010504636483598]]\n", + "[[5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118]]\n", + "Existed information has been added.\n", + "FIM: [[ 46.34447331 24.15943185 -111.81903475 -100.64889225]\n", + " [ 24.15943185 57.16992771 -42.45030445 -263.97094908]\n", + " [-111.81903475 -42.45030445 292.50019102 182.04332038]\n", + " [-100.64889225 -263.97094908 182.04332038 1280.49146535]]\n", + "Trace: 1676.506057391646\n", + "Determinant: 1632826.5079117715\n", + "Condition number: 1341.5228794343586\n", + "Minimal eigen value: 1.0276174138631713\n", + "Eigen values: [1.37857227e+03 2.92972000e+02 1.02761741e+00 3.93416828e+00]\n", + "Eigen vectors: [[ 0.09102761 -0.33462428 -0.68013724 0.64587453]\n", + " [ 0.19903457 0.02167093 0.68301722 0.70242657]\n", + " [-0.17796078 0.92103917 -0.237115 0.25257331]\n", + " [-0.95939 -0.1981005 0.12114985 0.16015535]]\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -293,10 +1187,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "64fc6da4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "Four design criteria log10() value:\n", + "A-optimality: 3.2244051269190375\n", + "D-optimality: 6.212940042263111\n", + "E-optimality: 0.011831455151144811\n", + "Modified E-optimality: 3.1275980838863466\n" + ] + } + ], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", @@ -318,11 +1225,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "5273a9af", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "AssertionError", + "evalue": "T should have the same length as t_set", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_60471/2196474940.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mexp1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgenerate_exp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_control\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m300\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mexp2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgenerate_exp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_control\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m500.92\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mexp3\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgenerate_exp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_control\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m528\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mexp4\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgenerate_exp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_control\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m546.8\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mexp5\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgenerate_exp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_control\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m562\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_60471/1113673435.py\u001b[0m in \u001b[0;36mgenerate_exp\u001b[0;34m(t_set, CA0, T)\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mT\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mA\u001b[0m \u001b[0mlist\u001b[0m \u001b[0mof\u001b[0m \u001b[0mT\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m '''\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0;32massert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_set\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mT\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'T should have the same length as t_set'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0mT_con_initial\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAssertionError\u001b[0m: T should have the same length as t_set" + ] + } + ], "source": [ + "# this only works for constant T mode. \n", "exp1 = generate_exp(t_control, 5, [300])\n", "exp2 = generate_exp(t_control, 5, [500.92])\n", "exp3 = generate_exp(t_control, 5, [528])\n", @@ -370,77 +1291,6 @@ " print('Modified E-optimality:', np.log10(result[0][i].cond))" ] }, - { - "cell_type": "markdown", - "id": "b0757b02", - "metadata": {}, - "source": [ - "### Run 1D analysis\n", - "\n", - "Run 1D sensitivity analysis with one changing design variable\n", - "\n", - "Note: this method can only deal with constant T problems" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "270e807a", - "metadata": {}, - "outputs": [], - "source": [ - "# Define experiments\n", - "if (model_opt=='dynamic-DAE'):\n", - " exp1 = generate_exp(t_control, 5, [570.21, 300, 300, 300, 300, 300, 300, 300, 300])\n", - "else: \n", - " exp1 = generate_exp(t_control, 5, [500])\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5fb1c31e", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", - " ['CA','CB','CC'], t_measure, createmod,\n", - " prior_FIM=prior_pass, discretize_model=disc)\n", - "\n", - "# choose from 'simultaneous', 'sequential', 'sipopt'\n", - "#sensi_opt = 'simultaneous_finite'\n", - "#sensi_opt = 'sequential_finite'\n", - "sensi_opt = 'sequential_sipopt'\n", - "if_s = True\n", - "result = doe_object.sensitivity_analysis_1D(exp1, {'T':[688,690]}, sensitivity_step=0.4, compare_opt='ME',\n", - " mode=sensi_opt, tee_option=False,\n", - " scale_nominal_param_value=if_s, formula='central')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "574f1669", - "metadata": {}, - "outputs": [], - "source": [ - "vary_range = list(result.keys())\n", - "result_list = list(result.values())\n", - "\n", - "index_max = result_list.index(max(result_list))\n", - "index_min = result_list.index(min(result_list))\n", - "\n", - "print('=======Result summary=======')\n", - "print('The biggest criterion value is:', max(result_list), ' at:', vary_range[index_max])\n", - "print('The smallest criterion value is:', min(result_list), ' at:', vary_range[index_min])\n", - "\n", - "plt.plot(vary_range, result_list)\n", - "plt.xlabel('T [K]')\n", - "plt.ylabel('Design criteria')" - ] - }, { "cell_type": "markdown", "id": "hindu-bathroom", @@ -451,26 +1301,233 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "wicked-raising", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 24144\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 1922\n", + "\n", + "Total number of variables............................: 6406\n", + " variables with only lower bounds: 2316\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 6406\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 7.66e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (280897)\n", + " 1 -3.2041801e+01 1.67e+05 4.32e+05 -1.0 7.66e+02 - 2.58e-03 9.90e-01f 1\n", + " 2 -2.7360130e+01 4.20e+04 4.64e+06 -1.0 8.33e+02 - 1.18e-01 9.90e-01h 1\n", + "Reallocating memory for MA57: lfact (295137)\n", + " 3 -2.3885416e+01 1.03e+04 3.43e+05 -1.0 3.73e+02 - 8.08e-01 1.00e+00h 1\n", + " 4 -2.1104897e+01 2.46e+03 6.88e+03 -1.0 6.89e+01 - 9.91e-01 1.00e+00h 1\n", + " 5 -1.8483523e+01 5.99e+02 1.72e+03 -1.0 2.42e+01 - 1.00e+00 1.00e+00h 1\n", + " 6 -1.6236695e+01 1.37e+02 4.28e+02 -1.0 1.16e+01 - 1.00e+00 1.00e+00h 1\n", + " 7 -1.4826359e+01 2.53e+01 9.99e+01 -1.0 5.03e+00 - 1.00e+00 1.00e+00h 1\n", + " 8 -1.4356896e+01 2.32e+00 1.47e+01 -1.0 1.52e+00 - 1.00e+00 1.00e+00h 1\n", + " 9 -1.4306446e+01 2.85e-02 3.48e-01 -1.0 1.69e-01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.4305829e+01 4.40e-06 1.03e-04 -2.5 2.10e-03 - 1.00e+00 1.00e+00h 1\n", + " 11 -1.4305829e+01 2.64e-13 1.50e-09 -3.8 3.23e-07 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 11\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -1.4305829050578563e+01 -1.4305829050578563e+01\n", + "Dual infeasibility......: 8.8910717677137541e-10 8.8910717677137541e-10\n", + "Constraint violation....: 2.2737367544323206e-13 2.6356694604601216e-13\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.2737367544323206e-13 8.8910717677137541e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 12\n", + "Number of objective gradient evaluations = 12\n", + "Number of equality constraint evaluations = 12\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 12\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 11\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.093\n", + "Total CPU secs in NLP function evaluations = 0.012\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "FIM: [[ 46.3444914 24.15944315 -111.81903818 -100.64870734]\n", + " [ 24.15944315 57.16995403 -42.45028808 -263.97068195]\n", + " [-111.81903818 -42.45028808 292.50015605 182.04287127]\n", + " [-100.64870734 -263.97068195 182.04287127 1280.48874223]]\n", + "Trace: 1676.5033437052477\n", + "Determinant: 1632836.1834134806\n", + "Condition number: 1341.51840758619\n", + "Minimal eigen value: 1.0276187561345163\n", + "Eigen values: [1.37856948e+03 2.92972054e+02 1.02761876e+00 3.93419370e+00]\n", + "Eigen vectors: [[ 0.09102767 -0.33462434 -0.68013822 0.64587346]\n", + " [ 0.19903479 0.02167086 0.68301615 0.70242755]\n", + " [-0.17796084 0.92103913 -0.23711535 0.2525731 ]\n", + " [-0.95938994 -0.19810059 0.12114973 0.16015569]]\n", + "Model objective: 14.305829050578563\n", + "Objective(determinant) is: 1632836.1834134837\n", + "Solution of CA0 : [5]\n", + "Solution of T : [570.21, 300, 300, 300, 300, 300, 300, 300, 300]\n", + "======problem solver output======\n", + "converged\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 25152\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 1931\n", + "\n", + "Reallocating memory for MA57: lfact (321469)\n", + "Reallocating memory for MA57: lfact (338851)\n", + "Total number of variables............................: 6416\n", + " variables with only lower bounds: 2316\n", + " variables with lower and upper bounds: 98\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 6406\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -1.4305829e+01 1.18e-01 1.48e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -1.4321447e+01 1.01e-01 7.69e+00 -1.0 6.36e+01 - 9.47e-01 1.41e-01h 1\n", + " 2 -1.4220000e+01 2.40e+01 5.69e+01 -1.0 2.21e+02 - 6.97e-01 1.00e+00f 1\n", + " 3 -1.3719762e+01 3.21e+01 5.63e+01 -1.0 2.90e+02 - 1.00e+00 9.42e-01f 1\n", + " 4 -1.3377054e+01 2.55e+01 3.32e+01 -1.0 1.53e+02 - 1.00e+00 1.00e+00f 1\n", + " 5 -1.3370445e+01 3.77e-01 2.69e+00 -1.0 1.26e+01 - 1.00e+00 1.00e+00h 1\n", + " 6 -1.3365800e+01 3.01e-03 2.27e-02 -1.0 1.07e+00 - 1.00e+00 1.00e+00h 1\n", + " 7 -1.3372676e+01 5.35e-03 1.57e-01 -2.5 5.51e+00 - 1.00e+00 1.00e+00h 1\n", + " 8 -1.3980505e+01 1.57e+01 9.78e+01 -2.5 1.30e+02 - 1.00e+00 1.00e+00F 1\n", + " 9 -1.3842490e+01 4.80e+00 7.55e+00 -2.5 5.46e+01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.3756903e+01 1.10e+00 2.63e+00 -2.5 2.89e+01 - 1.00e+00 1.00e+00h 1\n", + " 11 -1.3759844e+01 7.51e-03 1.39e-02 -2.5 3.89e+00 - 1.00e+00 1.00e+00h 1\n", + " 12 -1.4175513e+01 1.85e+01 3.95e+01 -3.8 8.85e+01 - 5.60e-01 1.00e+00f 1\n", + " 13 -1.4300654e+01 1.23e+01 1.03e+01 -3.8 1.88e+02 - 1.00e+00 1.00e+00h 1\n", + " 14 -1.4303100e+01 2.71e+00 1.02e+00 -3.8 6.83e+01 - 1.00e+00 1.00e+00h 1\n", + " 15 -1.4293066e+01 1.70e-02 2.17e-02 -3.8 3.13e+00 - 1.00e+00 1.00e+00h 1\n", + " 16 -1.4293051e+01 1.70e-07 2.55e-07 -3.8 3.60e-02 - 1.00e+00 1.00e+00h 1\n", + " 17 -1.4310193e+01 1.00e+00 4.13e-01 -5.7 4.55e+01 - 9.17e-01 1.00e+00f 1\n", + " 18 -1.4308345e+01 8.84e-03 4.07e-03 -5.7 4.40e+00 - 1.00e+00 1.00e+00h 1\n", + " 19 -1.4308378e+01 1.74e-05 9.73e-07 -5.7 3.79e-01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.4308538e+01 2.20e-04 8.75e-05 -8.6 6.45e-01 - 1.00e+00 1.00e+00h 1\n", + " 21 -1.4308537e+01 5.67e-10 2.16e-07 -8.6 2.16e-03 -4.0 1.00e+00 1.00e+00h 1\n", + " 22 -1.4308537e+01 2.26e-10 1.02e-10 -8.6 6.52e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 22\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -1.4308537311814217e+01 -1.4308537311814217e+01\n", + "Dual infeasibility......: 1.0159980836483156e-10 1.0159980836483156e-10\n", + "Constraint violation....: 1.1933933525979343e-10 2.2635049390373752e-10\n", + "Complementarity.........: 2.5059036092815866e-09 2.5059036092815866e-09\n", + "Overall NLP error.......: 2.5059036092815866e-09 2.5059036092815866e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 24\n", + "Number of objective gradient evaluations = 23\n", + "Number of equality constraint evaluations = 24\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 23\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 22\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.207\n", + "Total CPU secs in NLP function evaluations = 0.027\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FIM: [[ 46.24824873 24.02029597 -111.11259575 -98.84096347]\n", + " [ 24.02029597 56.00750616 -41.77758393 -257.36193473]\n", + " [-111.11259575 -41.77758393 290.34323271 177.30691662]\n", + " [ -98.84096347 -257.36193473 177.30691662 1245.84730921]]\n", + "Trace: 1638.4462968124803\n", + "Determinant: 1637264.3239264484\n", + "Condition number: 1318.2046058189794\n", + "Minimal eigen value: 1.018082460753852\n", + "Eigen values: [1.34204099e+03 2.91273175e+02 1.01808246e+00 4.11405006e+00]\n", + "Eigen vectors: [[ 0.09222082 -0.33473764 -0.67734443 0.64857579]\n", + " [ 0.19945077 0.02109713 0.6862249 0.69919216]\n", + " [-0.1793339 0.9206072 -0.23558824 0.25459757]\n", + " [-0.95893382 -0.19997003 0.12164738 0.16018689]]\n", + "Model objective: 14.308537311814217\n", + "Objective(determinant) is: 1637264.3239272628\n", + "Solution of CA0 : [5.0]\n", + "Solution of T : [579.2123483692055, 300.00000829024395, 300.00001529530726, 300.00002224158675, 300.0000306452559, 300.0000437403924, 300.0000694587363, 300.00014505287686, 300.00044564425997]\n", + "======problem solver output======\n", + "converged\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", " prior_FIM=prior_pass, discretize_model=disc)\n", "\n", - "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_cho=True, scale_nominal_param_value=True, obj_opt='det', L_initial=None)\n" + "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, scale_nominal_param_value=True, objective_option='det', L_initial=None)\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "c6b08c05", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "This optimization is solved with status: converged\n", + "It gives solution: {'CA0': [5.0], 'T': [579.2123483692055, 300.00000829024395, 300.00001529530726, 300.00002224158675, 300.0000306452559, 300.0000437403924, 300.0000694587363, 300.00014505287686, 300.00044564425997]}\n", + "The log10(OF) optimized is: 14.308537311814217\n", + "The result FIM is: [[ 46.24824873 24.02029597 -111.11259575 -98.84096347]\n", + " [ 24.02029597 56.00750616 -41.77758393 -257.36193473]\n", + " [-111.11259575 -41.77758393 290.34323271 177.30691662]\n", + " [ -98.84096347 -257.36193473 177.30691662 1245.84730921]]\n" + ] + } + ], "source": [ "print('======Result summary======')\n", "print('This optimization is solved with status:', optimize_result.status)\n", @@ -484,13 +1541,13 @@ "id": "skilled-booking", "metadata": {}, "source": [ - "## heatmap " + "## Grid search for 2 design variables" ] }, { "cell_type": "code", - "execution_count": 6, - "id": "fd29291f", + "execution_count": 17, + "id": "427c7dc8", "metadata": {}, "outputs": [], "source": [ @@ -509,8 +1566,8 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "bcb267e1", + "execution_count": 18, + "id": "dcfae212", "metadata": { "scrolled": true }, @@ -538,8 +1595,8 @@ " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", "This is the 1 run out of 25 run.\n", - "The code has run 1.1220 seconds.\n", - "Estimated remaining time: 26.9270 seconds\n", + "The code has run 1.1208 seconds.\n", + "Estimated remaining time: 26.8987 seconds\n", "=======This is the 2 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -558,8 +1615,8 @@ " [-0.11473313 0.93961044 -0.26036328 0.19020907]\n", " [-0.97619791 -0.12231173 0.09819695 0.14978263]]\n", "This is the 2 run out of 25 run.\n", - "The code has run 2.4107 seconds.\n", - "Estimated remaining time: 27.7228 seconds\n", + "The code has run 2.4131 seconds.\n", + "Estimated remaining time: 27.7506 seconds\n", "=======This is the 3 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -578,8 +1635,8 @@ " [-0.11385326 0.93976516 -0.25949412 0.19115878]\n", " [-0.97636962 -0.12141862 0.09854321 0.14916141]]\n", "This is the 3 run out of 25 run.\n", - "The code has run 3.7114 seconds.\n", - "Estimated remaining time: 27.2167 seconds\n", + "The code has run 3.8888 seconds.\n", + "Estimated remaining time: 28.5179 seconds\n", "=======This is the 4 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -598,8 +1655,8 @@ " [-0.11343891 0.93987811 -0.25847425 0.19222854]\n", " [-0.9764662 -0.12097442 0.09910778 0.14851464]]\n", "This is the 4 run out of 25 run.\n", - "The code has run 5.1469 seconds.\n", - "Estimated remaining time: 27.0212 seconds\n", + "The code has run 5.2667 seconds.\n", + "Estimated remaining time: 27.6504 seconds\n", "=======This is the 5 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -618,8 +1675,8 @@ " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", "This is the 5 run out of 25 run.\n", - "The code has run 6.5960 seconds.\n", - "Estimated remaining time: 26.3838 seconds\n", + "The code has run 6.6255 seconds.\n", + "Estimated remaining time: 26.5021 seconds\n", "=======This is the 6 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -638,8 +1695,8 @@ " [-0.10898703 0.94123169 -0.25813549 0.18860223]\n", " [-0.97745552 -0.1158568 0.09767104 0.14703155]]\n", "This is the 6 run out of 25 run.\n", - "The code has run 7.8555 seconds.\n", - "Estimated remaining time: 24.8759 seconds\n", + "The code has run 7.6748 seconds.\n", + "Estimated remaining time: 24.3034 seconds\n", "=======This is the 7 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -658,8 +1715,8 @@ " [-0.11992293 0.93825512 -0.26345825 0.18943485]\n", " [-0.97505767 -0.12794607 0.09793648 0.15264595]]\n", "This is the 7 run out of 25 run.\n", - "The code has run 9.1331 seconds.\n", - "Estimated remaining time: 23.4851 seconds\n", + "The code has run 8.9048 seconds.\n", + "Estimated remaining time: 22.8981 seconds\n", "=======This is the 8 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n" @@ -684,8 +1741,8 @@ " [-0.11695823 0.93879944 -0.26038706 0.19280809]\n", " [-0.97565414 -0.12497097 0.09912039 0.15052047]]\n", "This is the 8 run out of 25 run.\n", - "The code has run 10.4313 seconds.\n", - "Estimated remaining time: 22.1664 seconds\n", + "The code has run 10.2423 seconds.\n", + "Estimated remaining time: 21.7649 seconds\n", "=======This is the 9 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -704,8 +1761,8 @@ " [-0.11537487 0.93924098 -0.25666068 0.19657139]\n", " [-0.97603137 -0.12327688 0.10108403 0.14814718]]\n", "This is the 9 run out of 25 run.\n", - "The code has run 11.8610 seconds.\n", - "Estimated remaining time: 21.0862 seconds\n", + "The code has run 11.6368 seconds.\n", + "Estimated remaining time: 20.6877 seconds\n", "=======This is the 10 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -724,8 +1781,8 @@ " [-0.11415988 0.93957357 -0.25377291 0.19942001]\n", " [-0.9763162 -0.12188714 0.10281766 0.1462147 ]]\n", "This is the 10 run out of 25 run.\n", - "The code has run 13.2913 seconds.\n", - "Estimated remaining time: 19.9370 seconds\n", + "The code has run 13.1087 seconds.\n", + "Estimated remaining time: 19.6630 seconds\n", "=======This is the 11 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -744,8 +1801,8 @@ " [-0.10531109 0.94230095 -0.25714335 0.18669704]\n", " [-0.9782467 -0.11166076 0.09703861 0.14542622]]\n", "This is the 11 run out of 25 run.\n", - "The code has run 14.3810 seconds.\n", - "Estimated remaining time: 18.3031 seconds\n", + "The code has run 14.1588 seconds.\n", + "Estimated remaining time: 18.0203 seconds\n", "=======This is the 12 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -764,8 +1821,8 @@ " [-0.12688016 0.93624622 -0.26759042 0.18904978]\n", " [-0.97343838 -0.13550056 0.09796643 0.15639663]]\n", "This is the 12 run out of 25 run.\n", - "The code has run 15.6011 seconds.\n", - "Estimated remaining time: 16.9011 seconds\n", + "The code has run 15.3542 seconds.\n", + "Estimated remaining time: 16.6337 seconds\n", "=======This is the 13 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -784,8 +1841,8 @@ " [-0.12183745 0.93722982 -0.26183895 0.19543866]\n", " [-0.97449235 -0.13055984 0.10006575 0.15266182]]\n", "This is the 13 run out of 25 run.\n", - "The code has run 16.9594 seconds.\n", - "Estimated remaining time: 15.6548 seconds\n", + "The code has run 16.7166 seconds.\n", + "Estimated remaining time: 15.4307 seconds\n", "=======This is the 14 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -804,8 +1861,8 @@ " [-0.11853461 0.93818523 -0.25448998 0.20246697]\n", " [-0.97530695 -0.12703884 0.10365545 0.14796293]]\n", "This is the 14 run out of 25 run.\n", - "The code has run 18.3156 seconds.\n", - "Estimated remaining time: 14.3908 seconds\n", + "The code has run 18.1218 seconds.\n", + "Estimated remaining time: 14.2386 seconds\n", "=======This is the 15 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -824,8 +1881,8 @@ " [-0.11586404 0.93892699 -0.24836575 0.20810115]\n", " [-0.9759455 -0.12398352 0.10709366 0.14383813]]\n", "This is the 15 run out of 25 run.\n", - "The code has run 19.7172 seconds.\n", - "Estimated remaining time: 13.1448 seconds\n", + "The code has run 19.5008 seconds.\n", + "Estimated remaining time: 13.0006 seconds\n", "=======This is the 16 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n" @@ -850,8 +1907,8 @@ " [-0.10148488 0.9433793 -0.25614111 0.18473777]\n", " [-0.97904371 -0.10729839 0.09640345 0.14375966]]\n", "This is the 16 run out of 25 run.\n", - "The code has run 20.7599 seconds.\n", - "Estimated remaining time: 11.6774 seconds\n", + "The code has run 20.5361 seconds.\n", + "Estimated remaining time: 11.5516 seconds\n", "=======This is the 17 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -870,8 +1927,8 @@ " [-0.13417312 0.93385046 -0.27197264 0.18960955]\n", " [-0.97162352 -0.14341531 0.09858088 0.16019237]]\n", "This is the 17 run out of 25 run.\n", - "The code has run 21.9827 seconds.\n", - "Estimated remaining time: 10.3448 seconds\n", + "The code has run 21.8361 seconds.\n", + "Estimated remaining time: 10.2758 seconds\n", "=======This is the 18 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -890,8 +1947,8 @@ " [-0.12810799 0.93511485 -0.2637982 0.1988946 ]\n", " [-0.97293087 -0.13775386 0.10135559 0.15542345]]\n", "This is the 18 run out of 25 run.\n", - "The code has run 23.2465 seconds.\n", - "Estimated remaining time: 9.0403 seconds\n", + "The code has run 23.1703 seconds.\n", + "Estimated remaining time: 9.0107 seconds\n", "=======This is the 19 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -910,8 +1967,8 @@ " [-0.12282242 0.93672065 -0.25260431 0.20895007]\n", " [-0.97429446 -0.13215185 0.10631688 0.14826637]]\n", "This is the 19 run out of 25 run.\n", - "The code has run 24.5919 seconds.\n", - "Estimated remaining time: 7.7659 seconds\n", + "The code has run 24.5279 seconds.\n", + "Estimated remaining time: 7.7456 seconds\n", "=======This is the 20 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -930,8 +1987,8 @@ " [-0.11822723 0.93802249 -0.24264785 0.2173894 ]\n", " [-0.97542293 -0.12689337 0.11148365 0.14149058]]\n", "This is the 20 run out of 25 run.\n", - "The code has run 26.0996 seconds.\n", - "Estimated remaining time: 6.5249 seconds\n", + "The code has run 25.9293 seconds.\n", + "Estimated remaining time: 6.4823 seconds\n", "=======This is the 21 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -950,8 +2007,8 @@ " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", "This is the 21 run out of 25 run.\n", - "The code has run 27.1668 seconds.\n", - "Estimated remaining time: 5.1746 seconds\n", + "The code has run 27.0439 seconds.\n", + "Estimated remaining time: 5.1512 seconds\n", "=======This is the 22 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -970,8 +2027,8 @@ " [-0.1409001 0.93130083 -0.27612116 0.19126691]\n", " [-0.96983638 -0.15070249 0.09986123 0.16350503]]\n", "This is the 22 run out of 25 run.\n", - "The code has run 28.3785 seconds.\n", - "Estimated remaining time: 3.8698 seconds\n", + "The code has run 28.3487 seconds.\n", + "Estimated remaining time: 3.8657 seconds\n", "=======This is the 23 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -990,8 +2047,8 @@ " [-0.13533435 0.93253239 -0.26619814 0.20299388]\n", " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", "This is the 23 run out of 25 run.\n", - "The code has run 29.6690 seconds.\n", - "Estimated remaining time: 2.5799 seconds\n", + "The code has run 29.7750 seconds.\n", + "Estimated remaining time: 2.5891 seconds\n", "=======This is the 24 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n" @@ -1016,8 +2073,8 @@ " [-0.12811295 0.93486205 -0.25133676 0.21552227]\n", " [-0.97299795 -0.13847311 0.10883033 0.14918496]]\n", "This is the 24 run out of 25 run.\n", - "The code has run 31.0215 seconds.\n", - "Estimated remaining time: 1.2926 seconds\n", + "The code has run 31.3061 seconds.\n", + "Estimated remaining time: 1.3044 seconds\n", "=======This is the 25 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -1036,9 +2093,9 @@ " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", "This is the 25 run out of 25 run.\n", - "The code has run 32.5174 seconds.\n", + "The code has run 32.8335 seconds.\n", "Estimated remaining time: 0.0000 seconds\n", - "The whole run takes 32.517438888549805 s.\n" + "The whole run takes 32.83356499671936 s.\n" ] } ], @@ -1053,10 +2110,18 @@ " )" ] }, + { + "cell_type": "markdown", + "id": "7ac0e0ed", + "metadata": {}, + "source": [ + "### 1D sensitivity curve" + ] + }, { "cell_type": "code", - "execution_count": 8, - "id": "7e5abcb5", + "execution_count": 19, + "id": "991969ba", "metadata": {}, "outputs": [ { @@ -1113,9 +2178,8 @@ "Value : (5.0, 600.0)\n", "Design variable: ['CA0', 'T']\n", "Value : (5.0, 700.0)\n", - "(self.store_all_results_dataframe['CA0']==5.0)\n", - "[300.0, 400.0, 500.0, 600.0, 700.0]\n", - "[3.29689373 3.20434892 3.08194732 3.04830645 3.03486934]\n" + "[\"'CA0'\"] is/are fixed.\n", + "1D sensitivity curve is plotted with T .\n" ] }, { @@ -1178,24 +2242,25 @@ "\n" ] }, + { + "cell_type": "markdown", + "id": "b1b57f39", + "metadata": {}, + "source": [ + "## Heatmap" + ] + }, { "cell_type": "code", - "execution_count": 9, - "id": "7c1d751d", + "execution_count": 21, + "id": "c9fe2868", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1.0, 2.0, 3.0, 4.0, 5.0]\n", - "[300.0, 400.0, 500.0, 600.0, 700.0]\n", - "[1099.5362969973296, 1084.3283554734471, 1068.601301120078, 1065.0006727947682, 1063.6386428489946, 1209.7245373586702, 1148.8927705828396, 1085.9845538701272, 1071.5820381828053, 1066.133920780468, 1393.3716046200643, 1256.5001279889048, 1114.9566412208942, 1082.550986869459, 1070.2927173372873, 1650.4774987815367, 1407.150428212321, 1155.5175636475976, 1097.9075158546405, 1076.1150325090841, 1981.042219842969, 1600.8436715191028, 1207.6673231394532, 1117.651620471588, 1083.6008663180692]\n", - "[[1099.536297 1084.32835547 1068.60130112 1065.00067279 1063.63864285]\n", - " [1209.72453736 1148.89277058 1085.98455387 1071.58203818 1066.13392078]\n", - " [1393.37160462 1256.50012799 1114.95664122 1082.55098687 1070.29271734]\n", - " [1650.47749878 1407.15042821 1155.51756365 1097.90751585 1076.11503251]\n", - " [1981.04221984 1600.84367152 1207.66732314 1117.65162047 1083.60086632]]\n" + "2D heatmap is plotted with ['CA0', 'T'] .\n" ] }, { @@ -1249,24 +2314,27 @@ ], "source": [ "fixed = {}\n", - "\n", - "#docc = all_fim.figure_result_data \n", - "#docc.loc[(docc['CA0']==1.0) & (docc['T']==300.0)]\n", - "\n", "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" ] }, + { + "cell_type": "markdown", + "id": "c583f3c1", + "metadata": {}, + "source": [ + "## Grid search for 3 design variables" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "id": "flush-diameter", "metadata": {}, "outputs": [], "source": [ - "#design_ranges = {'CA0':list(np.linspace(1,5,9)), 'T': list(np.linspace(300,700,9))}\n", + "\n", "design_ranges = [list(np.linspace(1,5,2)), list(np.linspace(300,700,2)), [300,500]]\n", "\n", - "#dv_apply_time = {'CA0': [0], 'T': t_control}\n", "dv_apply_name = ['CA0', 'T', 'T']\n", "dv_apply_time = [[0], [0], [0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875,1]]\n", "\n", @@ -1279,12 +2347,181 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "id": "separate-leone", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "8 design vectors will be searched.\n", + "=======This is the 1 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", + " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", + " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", + " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", + "Trace: 1099.5362969973296\n", + "Determinant: 151638.49432111066\n", + "Condition number: 1703.570882096611\n", + "Minimal eigen value: 0.48581739042098304\n", + "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", + "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", + " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", + " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", + " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", + "This is the 1 run out of 8 run.\n", + "The code has run 1.1489 seconds.\n", + "Estimated remaining time: 8.0423 seconds\n", + "=======This is the 2 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.02261159 5.54977754 -82.63008298 -24.51321679]\n", + " [ 5.54977754 26.73694136 -12.73933851 -140.43848427]\n", + " [ -82.63008298 -12.73933851 242.84405309 59.90239116]\n", + " [ -24.51321679 -140.43848427 59.90239116 771.64515411]]\n", + "Trace: 1070.2487601514676\n", + "Determinant: 149192.95442320604\n", + "Condition number: 1622.8998059170772\n", + "Minimal eigen value: 0.49628780484046486\n", + "Eigen values: [8.05425382e+02 2.62907423e+02 4.96287805e-01 1.41966721e+00]\n", + "Eigen vectors: [[ 0.04428392 -0.31888887 -0.78187111 0.53387863]\n", + " [ 0.17826601 0.01439017 0.55769054 0.81055253]\n", + " [-0.11449466 0.93979064 -0.26124531 0.18824295]\n", + " [-0.97629459 -0.12205064 0.09700365 0.15014259]]\n", + "This is the 2 run out of 8 run.\n", + "The code has run 2.5107 seconds.\n", + "Estimated remaining time: 7.5320 seconds\n", + "=======This is the 3 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 29.20157991 5.87100734 -82.44595307 -25.55675548]\n", + " [ 5.87100734 26.90849468 -13.01883064 -140.90136788]\n", + " [ -82.44595307 -13.01883064 241.43729075 60.77985683]\n", + " [ -25.55675548 -140.90136788 60.77985683 772.90355064]]\n", + "Trace: 1070.4509159748322\n", + "Determinant: 168524.68737728221\n", + "Condition number: 1580.1625855470822\n", + "Minimal eigen value: 0.5107553098330982\n", + "Eigen values: [8.07076431e+02 2.61299149e+02 5.10755310e-01 1.56458074e+00]\n", + "Eigen vectors: [[ 0.04567224 -0.31968839 -0.74716662 0.58090913]\n", + " [ 0.17855066 0.01415856 0.60689182 0.77433941]\n", + " [-0.11564575 0.93931165 -0.24953529 0.20506544]\n", + " [-0.97604291 -0.12366286 0.1056243 0.14453799]]\n", + "This is the 3 run out of 8 run.\n", + "The code has run 3.6844 seconds.\n", + "Estimated remaining time: 6.1406 seconds\n", + "=======This is the 4 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 28.80936121 5.50647601 -81.91342115 -24.28845098]\n", + " [ 5.50647601 26.52090755 -12.54480218 -139.55262806]\n", + " [ -81.91342115 -12.54480218 240.70233696 59.12159177]\n", + " [ -24.28845098 -139.55262806 59.12159177 768.14116197]]\n", + "Trace: 1064.1737676955722\n", + "Determinant: 148311.83717121498\n", + "Condition number: 1621.660778952999\n", + "Minimal eigen value: 0.49426663416652883\n", + "Eigen values: [8.01532815e+02 2.60710753e+02 4.94266634e-01 1.43593331e+00]\n", + "Eigen vectors: [[ 0.04397694 -0.31900169 -0.76997717 0.55085307]\n", + " [ 0.17797981 0.0141827 0.57533056 0.79819596]\n", + " [-0.11334433 0.93990695 -0.25714446 0.19391937]\n", + " [-0.9764949 -0.12087888 0.10003314 0.14778155]]\n", + "This is the 4 run out of 8 run.\n", + "The code has run 5.0443 seconds.\n", + "Estimated remaining time: 5.0443 seconds\n", + "=======This is the 5 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", + " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", + " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", + " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", + "Trace: 1981.042219842969\n", + "Determinant: 561207.9661975782\n", + "Condition number: 2950.219453858868\n", + "Minimal eigen value: 0.5016011129216537\n", + "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", + "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", + " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", + " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", + " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", + "This is the 5 run out of 8 run.\n", + "The code has run 6.2027 seconds.\n", + "Estimated remaining time: 3.7216 seconds\n", + "=======This is the 6 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 37.2710164 8.84450119 -104.07017015 -36.25986207]\n", + " [ 8.84450119 34.59912546 -20.44750819 -169.20389915]\n", + " [-104.07017015 -20.44750819 299.99508643 87.21830573]\n", + " [ -36.25986207 -169.20389915 87.21830573 876.98857123]]\n", + "Trace: 1248.8537995182587\n", + "Determinant: 456984.621667734\n", + "Condition number: 1267.5633174434258\n", + "Minimal eigen value: 0.7302489893151791\n", + "Eigen values: [9.25636831e+02 3.20376491e+02 7.30248989e-01 2.11022786e+00]\n", + "Eigen vectors: [[ 0.0591013 -0.32164501 -0.84761859 0.41784476]\n", + " [ 0.1880015 0.01885726 0.43897561 0.8784078 ]\n", + " [-0.15101642 0.93281443 -0.28759296 0.15601783]\n", + " [-0.96868804 -0.16138812 0.0783162 0.17165062]]\n", + "This is the 6 run out of 8 run.\n", + "The code has run 7.6074 seconds.\n", + "Estimated remaining time: 2.5358 seconds\n", + "=======This is the 7 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 41.74522441 16.87524634 -99.4669227 -62.3483296 ]\n", + " [ 16.87524634 38.88795867 -27.43481158 -180.77598957]\n", + " [ -99.4669227 -27.43481158 264.82602812 109.15494783]\n", + " [ -62.3483296 -180.77598957 109.15494783 908.44848429]]\n", + "Trace: 1253.907695488249\n", + "Determinant: 1161091.8013054593\n", + "Condition number: 1170.358106497793\n", + "Minimal eigen value: 0.8284013252623807\n", + "Eigen values: [9.69526206e+02 2.78359589e+02 5.19349878e+00 8.28401325e-01]\n", + "Eigen vectors: [[ 0.08630722 -0.33686359 -0.71115768 -0.61100634]\n", + " [ 0.19352627 0.01346086 -0.62939795 0.75247898]\n", + " [-0.16881879 0.92224221 -0.27956296 -0.20691563]\n", + " [-0.96260006 -0.18923803 -0.14127113 0.13278769]]\n", + "This is the 7 run out of 8 run.\n", + "The code has run 8.7830 seconds.\n", + "Estimated remaining time: 1.2547 seconds\n", + "=======This is the 8 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Existed information has been added.\n", + "FIM: [[ 31.93975692 7.76196301 -86.15362453 -30.64071679]\n", + " [ 7.76196301 29.19828026 -15.58409994 -147.05749384]\n", + " [ -86.15362453 -15.58409994 246.45218312 67.69832079]\n", + " [ -30.64071679 -147.05749384 67.69832079 789.38876733]]\n", + "Trace: 1096.9789876284945\n", + "Determinant: 391721.9874042468\n", + "Condition number: 1198.343260089791\n", + "Minimal eigen value: 0.6904322791243135\n", + "Eigen values: [8.27374868e+02 2.66339028e+02 6.90432279e-01 2.57465905e+00]\n", + "Eigen vectors: [[ 0.05295553 -0.32557225 -0.69349396 0.64051897]\n", + " [ 0.18236757 0.01258494 0.67137407 0.71822041]\n", + " [-0.12621181 0.9355106 -0.23310991 0.23355998]\n", + " [-0.97365721 -0.13661713 0.11824874 0.13908499]]\n", + "This is the 8 run out of 8 run.\n", + "The code has run 10.2550 seconds.\n", + "Estimated remaining time: 0.0000 seconds\n", + "The whole run takes 10.255020141601562 s.\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -1298,31 +2535,110 @@ }, { "cell_type": "markdown", - "id": "3b57a7a7", + "id": "d533298f", "metadata": {}, "source": [ - "### Draw heatmap figures" + "### Draw 1D sensitivity curve" ] }, { "cell_type": "code", - "execution_count": null, - "id": "07a12da5", + "execution_count": 24, + "id": "75da1683", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Design variable: ['CA0', 'T', 'T']\n", + "Value : (1.0, 300.0, 300)\n", + "Design variable: ['CA0', 'T', 'T']\n", + "Value : (1.0, 300.0, 500)\n", + "Design variable: ['CA0', 'T', 'T']\n", + "Value : (1.0, 700.0, 300)\n", + "Design variable: ['CA0', 'T', 'T']\n", + "Value : (1.0, 700.0, 500)\n", + "Design variable: ['CA0', 'T', 'T']\n", + "Value : (5.0, 300.0, 300)\n", + "Design variable: ['CA0', 'T', 'T']\n", + "Value : (5.0, 300.0, 500)\n", + "Design variable: ['CA0', 'T', 'T']\n", + "Value : (5.0, 700.0, 300)\n", + "Design variable: ['CA0', 'T', 'T']\n", + "Value : (5.0, 700.0, 500)\n" + ] + } + ], "source": [ - "test = all_fim.extract_criteria()\n", - "print(test)" + "test = all_fim.extract_criteria()" ] }, { "cell_type": "code", - "execution_count": null, - "id": "ddedc7ad", + "execution_count": 25, + "id": "c20e6579", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[\"'CA0'\", \"'T2'\"] is/are fixed.\n", + "1D sensitivity curve is plotted with T .\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "## draw 1D sensitivity curve \n", "\n", @@ -1332,231 +2648,83 @@ ] }, { - "cell_type": "code", - "execution_count": null, - "id": "b2d911d4", + "cell_type": "markdown", + "id": "affd1491", "metadata": {}, - "outputs": [], "source": [ - "\n", - "docc = all_fim.figure_result_data \n", - "#docc.loc[(docc['CA0']==1.0) & (docc['T']==300.0)]['A'].values.tolist()\n", - "\n", - "\n", - "\n", - "#aa = [1,1,4,4]\n", - "#print(set(aa))\n", - "#print(list(set(aa)))" + "### Draw 2D sensitivity curve" ] }, { "cell_type": "code", - "execution_count": null, - "id": "530ed2a2", - "metadata": {}, - "outputs": [], + "execution_count": 26, + "id": "16be2b47", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[\"'T2'\"] is/are fixed.\n", + "2D heatmap is plotted with ['CA0', 'T'] .\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "fixed = {\"'T2'\": 300}\n", - "#print(all_fim.figure_result_data)\n", - "\n", - "docc = all_fim.figure_result_data \n", - "docc.loc[(docc['CA0']==1.0) & (docc['T']==300.0)]\n", "\n", "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "76003ddb", - "metadata": {}, - "outputs": [], - "source": [ - "heatmap = Grid_Search_Result(design_ranges, all_fim, store_optimality_name='test_heatmap.csv')\n", - "\n", - "heatmap.heatmap('Reactor case', '$C_{A0}$ [M]', 'T [K]')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "32c7da54", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4c083bf8", - "metadata": {}, - "outputs": [], - "source": [ - "x = [1,2]\n", - "y = [44, 55]\n", - "\n", - "fig = plt.figure()\n", - "plt.rc('axes', titlesize=14)\n", - "plt.rc('axes', labelsize=14)\n", - "plt.rc('xtick', labelsize=16)\n", - "plt.rc('ytick', labelsize=16)\n", - "ax = fig.add_subplot(111)\n", - "params = {'mathtext.default': 'regular'}\n", - "plt.rcParams.update(params)\n", - "ax.plot(x, y)\n", - "ax.set_yticks(range(len(yLabel)))\n", - "ax.set_yticklabels(yLabel)\n", - "ax.set_ylabel(ylabel_text)\n", - "ax.set_xticks(range(len(xLabel)))\n", - "ax.set_xticklabels(xLabel)\n", - "ax.set_xlabel(xlabel_text)\n", - "plt.title(title_text + ' - A optimality')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ac5db655", - "metadata": {}, - "outputs": [], - "source": [ - "filter = ''\n", - "for i in range(2):\n", - " filter += '(self.store_all_results_dataframe['\n", - " filter += \"'CA0'\"\n", - " filter += ']=='\n", - " filter += str(500)\n", - " filter += ')'\n", - " if i != 1:\n", - " filter += '&'\n", - " \n", - "print(filter)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1b2f85ab", - "metadata": {}, - "outputs": [], - "source": [ - "d = [test['CA0']==1.0, test['T2']==500]\n", - "print(d)\n", - "\n", - "print(type((test['CA0']==1.0) & (test['T2']==500)))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "93642739", - "metadata": {}, - "outputs": [], - "source": [ - "ff = ''\n", - "for i in range(5):\n", - " ff += str(i)\n", - " \n", - "print(ff)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4ec81f48", - "metadata": {}, - "outputs": [], - "source": [ - "#new_test = test.loc[(test['CA0']==1.0) & (test['T2']==500)]\n", - "dd = eval('(test[\"CA0\"]' + '==' + str(1.0) + ')&(' + 'test[\"T2\"]' + '==' + str(500)+')')\n", - "\n", - "new_test = test.loc[dd]\n", - "print(new_test)\n", - "\n", - "x_list = new_test['T'].values.tolist()\n", - "A_list = new_test['A'].values.tolist()\n", - "\n", - "print(x_list)\n", - "print(A_list)" - ] - }, - { - "cell_type": "markdown", - "id": "65acbe46", - "metadata": {}, - "source": [ - "### 1D heatmap" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "22d0e1f6", - "metadata": {}, - "outputs": [], - "source": [ - "#design_ranges = {'CA0':list(np.linspace(1,5,9)), 'T': list(np.linspace(300,700,9))}\n", - "design_ranges = [ list(np.linspace(300,700,5))]\n", - "\n", - "dv_apply_name = ['T']\n", - "dv_apply_time = [t_control]\n", - "\n", - "# Define experiments\n", - "if (model_opt=='dynamic-DAE'):\n", - " exp1 = generate_exp(t_control, 5, [570.21, 300, 300, 300, 300, 300, 300, 300, 300])\n", - "else: \n", - " exp1 = generate_exp(t_control, 5, [500])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "986c0abd", - "metadata": {}, - "outputs": [], - "source": [ - "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", - " ['CA','CB','CC'], t_measure, createmod,\n", - " prior_FIM=prior_pass, discretize_model=disc)\n", - "\n", - "all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", - " mode='sequential_finite', \n", - " scale_nominal_param_value=True\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2587a748", - "metadata": {}, - "outputs": [], - "source": [ - "heatmap = Grid_Search_Result(design_ranges, all_fim, store_optimality_name='test_heatmap.csv')\n", - "\n", - "heatmap.heatmap('Reactor case', '$C_{A0}$ [M]', 'T [K]')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3bd4852a", - "metadata": {}, - "outputs": [], - "source": [ - "col_names = dv_apply_name.copy()\n", - "col_names.append('A')\n", - "print(col_names)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7c156b4f", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From 11c7bff0e090f4b8501a8e1964085d18e65378fa Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sun, 15 Aug 2021 19:10:49 -0400 Subject: [PATCH 10/42] changes according to reviews --- pyomo/contrib/doe/fim_doe.py | 1954 +++++++++++++++++++ pyomo/contrib/doe/reactor_control_doe.ipynb | 1918 +----------------- 2 files changed, 2009 insertions(+), 1863 deletions(-) create mode 100644 pyomo/contrib/doe/fim_doe.py diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py new file mode 100644 index 00000000000..fa2442b550f --- /dev/null +++ b/pyomo/contrib/doe/fim_doe.py @@ -0,0 +1,1954 @@ +import numpy as np +import matplotlib.pyplot as plt +from pyomo.environ import * +from pyomo.dae import * +import pandas as pd +import time +import pickle +from itertools import permutations, product +from pyomo.contrib.sensitivity_toolbox.sens import sipopt + + +class DesignOfExperiments: + def __init__(self, param_init, design_variable_timepoints, measurement_variables, measurement_timeset, create_model, solver=None, + prior_FIM=None, discretize_model=None, verbose=True): + ''' + This package enables model-based design of experiments analysis with Pyomo. Both direct optimization and enumeration modes are supported. + NLP sensitivity tools, e.g., sipopt and k_aug, are supported to accelerate analysis via enumeration. + It can be applied to dynamic models, where design variables are controlled throughout the experiment. + + Parameters: + ----------- + param_init: a dictionary of parameter names and values. If they are an indexed variable, put the variable name and index, such as 'theta["A1"]'. Note: if sIPOPT is used, parameter shouldn't be indexed. + design_variable_timepoints: a dictionary, keys are design variable names, values are its control time points. + if this design var is independent of time (constant), set the time to [0] + measurement_variables: the variable name of the model output, for e.g., ['CA', 'CB', 'CC']. + measurement_timeset: a list of measurement time points. can be different from control time points + create_model: a function that returns the model, where: + - parameter and design variables are defined as variables + - define every state variables dependent on parameters with a scenario index + - take scenarios as the first argument of this function + - define time index as 't'. + - design variables are defined with and only with a time index. + solver: User specified solver, default=None. If not specified, default solver is IPOPT MA57. + prior_FIM: Fisher information matrix (FIM) for prior experiments, default=None + discretize_model: A user-specified function that deiscretizes the model. Only use with Pyomo.DAE, default=None + verbose: if print statements are made + ''' + + # parameters + self.param_init = param_init + self.param_name = list(param_init.keys()) + self.param_value = list(param_init.values()) + # design variable name + self.design_timeset = design_variable_timepoints + self.design_name = list(self.design_timeset.keys()) + # the control time point for each design variable + self.design_time = list(self.design_timeset.values()) + # model output (measurement) name + self.measurement_variables = measurement_variables + # model measurement time + self.measurement_timeset = measurement_timeset + # create_model() + self.create_model = create_model + # check if user-defined solver is given + if solver is not None: + self.solver = solver + # if not given, use default solver + else: + self.solver = self.__solve_with_default_ipopt() + + # check if discretization is needed + self.discretize_model = discretize_model + + # check if there is prior info + self.prior_FIM = prior_FIM + + # if print statements + self.verbose = verbose + + def __check_inputs(self, check_mode=False): + '''Check if inputs are consistent + + Parameters + ---------- + check_mode: check FIM calculation mode + ''' + if self.objective_option not in ['det', 'trace', 'zero']: + raise ValueError('Error: Objective function should be chosen from "det", "zero" and "trace"') + + if self.formula not in ['central', 'forward', 'backward', None]: + raise ValueError('Error: Finite difference scheme should be chosen from "central", "forward", "backward" and "none".') + + if self.prior_FIM is not None: + assert (np.shape(self.prior_FIM)[0] == np.shape(self.prior_FIM)[1]), \ + 'Expect prior information matrix shape: ['+str(len(self.param_name))+','+str(len(self.param_name)) +']' + + if self.scale_nominal_param_value: + print('Sensitivity information is scaled by its corresponding parameter nominal value.') + + if (self.scale_constant_value != 1): + print('Sensitivity information is scaled by constant ', self.scale_constant_value, ' times itself.') + + if check_mode: + if self.mode not in ['simultaneous_finite', 'sequential_finite', 'sequential_sipopt', 'sequential_kaug']: + print('Wrong mode. Choose from "simultaneous_finite", "sequential_finite", "0sequential_sipopt", "sequential_kaug"') + + + + def optimize_doe(self, design_values, if_optimize=True, objective_option='det', + scale_nominal_param_value=False, scale_constant_value=1, if_Cholesky=False, L_LB = 1E-10, L_initial=None, + formula='central', step=0.001, check=True): + ''' + Optimize DOE problem with design variables being the decisions. + The DOE model is formed invasively and all scenarios are computed simultaneously. + The function will first fun a square problem with design variable being fixed at + the given initial points, and then unfix the design variable and do the + optimization. + + Parameters: + ----------- + design_values: initial point for optimization, a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point + if_optimize: if true, continue to do optimization. else, just run square problem with given design variable values + objective_option: supporting maximizing the 'det' determinant or the 'trace' trace of the FIM + scale_nominal_param_value: if scale Jacobian by the corresponding parameter nominal value + scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small + if_Cholesky: if true, cholesky decomposition is used for Objective function (to optimize determinant). + L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 + L_initial: initialize the L + formula: Finite difference formula, choose from 'central', 'forward', 'backward', None + step: Finite difference sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + check: if True check input toggles consistency to be checked multiple times. + + Returns: + -------- + analysis_square: result summary of the square problem solved at the initial point + analysis_optimize: result summary of the optimization problem solved + + Steps: + ------ + 1. Build two-stage stochastic programming optimization model where scenarios correspond to + finite difference approximations for the Jacobian of the response variables with respect to calibrated model parameters + 2. Fix the experiment design decisions and solve a square (i.e., zero degrees of freedom) instance of the two-stage DOE problem. + This step is for initialization. + 3. Unfix the experiment design decisions and solve the two-stage DOE problem. + ''' + + # store inputs in object + self.design_values = design_values + self.optimize = if_optimize + self.objective_option = objective_option + self.scale_nominal_param_value = scale_nominal_param_value + self.scale_constant_value = scale_constant_value + self.Cholesky_option = if_Cholesky + self.L_LB = L_LB + self.L_initial = L_initial + self.formula = formula + self.step = step + self.tee_opt = True + + # calculate how much the FIM element is scaled by a constant number + # FIM = Jacobian.T@Jacobian, the FIM is scaled by squared value the Jacobian is scaled + self.fim_scale_constant_value = self.scale_constant_value **2 + + # check if inputs are valid + # simultaneous mode does not need to check mode and dimension of design variables + if check: + self.__check_inputs(check_mode=False) + + # build the large DOE pyomo model + m = self.__create_doe_model() + + # solve model, achieve results for square problem, and results for optimization problem + + # Solve square problem first + # result_square: solver result + result_square = self.__solve_doe(m, fix=True) + + analysis_square = FIM_result(self.param_name, prior_FIM=self.prior_FIM, scale_constant_value=self.scale_constant_value) + analysis_square.extract_FIM(m, self.design_timeset, result_square, obj=objective_option) + + if self.optimize: + # solve problem with DOF then + result_doe = self.__solve_doe(m, fix=False) + + analysis_optimize = FIM_result(self.param_name, prior_FIM=self.prior_FIM) + analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, obj=objective_option) + + return analysis_square, analysis_optimize + + else: + return analysis_square + + + def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=None, specified_prior=None, + tee_opt=True, scale_nominal_param_value=False, scale_constant_value=1, formula='central', step=0.01, + if_Cholesky=False, L_LB=1E-10, L_initial=None): + ''' + This function solves a square Pyomo model with fixed design variables to compute the FIM. + The problem is structured in one of the four following modes: + 1. simultaneous_finite: Calculate a multiple scenario model. Sensitivity info estimated by finite difference. Instead of 1, + 2. sequential_finite: Calculates a one scenario model multiple times for + multiple scenarios. Sensitivity info estimated by finite difference + 3. sequential_sipopt: calculate sensitivity by sIPOPT. + 4. sequential_kaug: calculate sensitivity by k_aug + + Parameters: + ----------- + design_values: a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point + mode: use mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' + FIM_store_name: if storing the FIM in a .csv, give the file name here as a string, '**.csv' or '**.txt'. + specified_prior: if user needs a different prior, replace this toggle without creating a new object + tee_opt: if IPOPT console output is printed + scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init + scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small + + Only effective when finite=True: + formula: choose from 'central', 'forward', 'backward', None + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + + Cholesky option: + if_Cholesky: if true, Cholesky decomposition is used for Objective function (to optimize determinant). + L_LB: if FIM is positive definite, the diagonal element should be positive, so we can set a LB like 1E-10 + L_initial: initialize the L + + Return: + ------- + FIM_analysis: result summary object of this solve + ''' + # save inputs in object + self.design_values = design_values + self.mode = mode + self.scale_nominal_param_value = scale_nominal_param_value + self.scale_constant_value = scale_constant_value + self.formula = formula + self.step = step + + # This method only solves square problem + self.optimize = False + # Set the Objective Function to 0 helps solve square problem quickly + self.objective_option = 'zero' + self.tee_opt = tee_opt + + self.Cholesky_option = if_Cholesky + self.L_LB = L_LB + self.L_initial = L_initial + + # calculate how much the FIM element is scaled by a constant number + # As FIM~Jacobian.T@Jacobian, FIM is scaled twice the number the Q is scaled + self.fim_scale_constant_value = self.scale_constant_value ** 2 + + # check inputs valid + self.__check_inputs(check_mode=True) + + # if using simultaneous model + if (self.mode == 'simultaneous_finite'): + m = self.__create_doe_model() + + # solve model, achieve results for square problem, and results for optimization problem + square_result = self.__solve_doe(m, fix=True) + + # analyze results + if specified_prior is None: + prior_in_use = self.prior_FIM + else: + prior_in_use = specified_prior + + FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + + # add the formed simultaneous model to the object so that users can have access + self.m = m + self.square_result = square_result + + return FIM_analysis + + elif self.mode=='sequential_finite': + no_para = len(self.param_name) + + # if using sequential model + # call generator function to get scenario dictionary + scena_gen = Scenario_generator(self.param_init, formula=self.formula, step=self.step) + scena_gen.generate_sequential_para() + + # dict for storing model outputs + output_record = {} + # dict for storing Jacobian + jac = {} + + # loop over each scenario + for no_s in (scena_gen.scena_keys): + + scenario_iter = scena_gen.next_sequential_scenario(no_s) + # create the model + # TODO:(long term) add options to create model once and then update. only try this after the + # package is completed and unitest is finished + mod = self.create_model(scenario_iter) + + # discretize if needed + if self.discretize_model is not None: + mod = self.discretize_model(mod) + + # extract (discretized) time + time_set = [] + for t in mod.t: + time_set.append(value(t)) + + # solve model + square_result = self.__solve_doe(mod, fix=True) + + # loop over measurement item and time to store model measurements + output_combine = [] + for j in self.measurement_variables: + for t in self.measurement_timeset: + C_value = eval('mod.' + j + '[0,' + str(t) + ']') + output_combine.append(value(C_value)) + output_record[no_s] = output_combine + + # After collecting outputs from all scenarios, calculate sensitivity + for para in self.param_name: + # extract involved scenario No. for each parameter from scenario class + involved_s = scena_gen.scenario_para[para] + # each parameter has two involved scenarios + s1 = involved_s[0] + s2 = involved_s[1] + list_jac = [] + for i in range(len(output_record[s1])): + if self.scale_nominal_param_value: + sensi = (output_record[s1][i] - output_record[s2][i]) / scena_gen.eps_abs[para] *self.param_init[para] *self.scale_constant_value + else: + sensi = (output_record[s1][i] - output_record[s2][i]) / scena_gen.eps_abs[para]*self.scale_constant_value + list_jac.append(sensi) + # get Jacobian dict, keys are parameter name, values are sensitivity info + jac[para] = list_jac + + + # Assemble and analyze results + if specified_prior is None: + prior_in_use = self.prior_FIM + else: + prior_in_use = specified_prior + + FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + + # Store the Jacobian information for access by users + self.jac = jac + + return FIM_analysis + + + elif self.mode in ['sequential_sipopt', 'sequential_kaug']: + # create scenario class for a base case + scena_gen = Scenario_generator(self.param_init, formula=None, step=self.step) + scenario_all = scena_gen.simultaneous_scenario() + + # sipopt only uses backward difference scheme + # store measurements for scenarios + all_perturb_measure = [] + all_base_measure = [] + # store jacobian info + jac={} + + # loop over parameters + for pa in range(len(self.param_name)): + perturb_mea = [] + base_mea = [] + + # create model + mod = self.create_model(scenario_all) + + # discretize if needed + if self.discretize_model is not None: + mod = self.discretize_model(mod) + + # For sIPOPT, fix model DOF + if self.mode =='sequential_sipopt': + mod = self.__fix_design(mod, self.design_values, fix_opt=True) + + mod.obj = Objective(rule=0.0, sense=minimize) + + # extract (discretized) time + time_set = [] + for t in mod.t: + time_set.append(value(t)) + + # add sIPOPT perturbation parameters + mod = self.__add_parameter(mod, perturb=pa) + + # solve the square problem with the original parameters for k_aug mode, since k_aug does not calculate these + if self.mode == 'sequential_kaug': + self.__solve_doe(mod, fix=True) + + # parameter name lists for sipopt + list_original = [] + list_perturb = [] + for ele in self.param_name: + list_original.append(eval('mod.'+ele+'[0]')) + for elem in self.perturb_names: + list_perturb.append(eval('mod.'+elem+'[0]')) + + # solve model + if self.mode =='sequential_sipopt': + m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=self.tee_opt, solver_options='ma57') + else: + m_sipopt = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=True) + + # extract sipopt result + for j in self.measurement_variables: + for t in self.measurement_timeset: + # fetch the measurement variable + measure_var = getattr(m_sipopt,j) + # check if this variable is fixed + if (measure_var[0,t].fixed == True): + perturb_value = value(measure_var[0,t]) + + else: + # if it is not fixed, record its perturbed value + if self.mode =='sequential_sipopt': + perturb_value = eval('m_sipopt.sens_sol_state_1[m_sipopt.' + j + '[0,' + str(t) + ']]') + else: + perturb_value = eval('m_sipopt.' + j + '[0,' + str(t) + ']()') + perturb_mea.append(perturb_value) + + # base case values + if self.mode =='sequential_sipopt': + base_value = eval('m_sipopt.'+j+'[0,' + str(t) + '].value') + else: + base_value = value(eval('mod.' + j + '[0,' + str(t) + ']')) + + base_mea.append(base_value) + + # store extracted measurements + all_perturb_measure.append(perturb_mea) + all_base_measure.append(base_mea) + print(all_perturb_measure) + print(all_base_measure) + + + # After collecting outputs from all scenarios, calculate sensitivity + for count, para in enumerate(self.param_name): + list_jac = [] + for i in range(len(all_perturb_measure[0])): + if self.scale_nominal_param_value: + sensi = -(all_perturb_measure[count][i] - all_base_measure[count][i]) / self.step * self.scale_constant_value + else: + sensi = -(all_perturb_measure[count][i] - all_base_measure[count][i]) / self.step /self.param_init[para] * self.scale_constant_value + list_jac.append(sensi) + # get Jacobian dict, keys are parameter name, values are sensitivity info + jac[para] = list_jac + + # check if another prior experiment FIM is provided other than the user-specified one + if specified_prior is None: + prior_in_use = self.prior_FIM + else: + prior_in_use = specified_prior + + # Assemble and analyze results + FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + + self.jac = jac + + return FIM_analysis + + else: + raise ValueError('This is not a valid mode. Choose from "sequential_finite", "simultaneous_finite", "sequential_sipopt", "sequential_kaug"') + + + def generate_sequential_experiments(self, design_values_set, mode='sequential_finite', tee_option=False, + scale_nominal_param_value=False, scale_constant_value=1, + formula='central', step=0.001): + ''' + Run a series of experiments sequentially, and use the FIM from one experiment as the prior information for the next experiment + Parameters: + ----------- + design_values_set: a list of experiments, each element is one design_values dictionary + mode: use mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' + tee_option: if IPOPT console output is printed + scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init + scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small + formula: choose from 'central', 'forward', 'backward', None + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + + Returns: + -------- + result_obj_list: a list of the result summary objects of every experiment + fim_list: a list of the FIM of every experiment + ''' + # how many exps to run in a row + self.no_exp = len(design_values_set) + self.design_values_set = design_values_set + self.formula = formula + self.mode = mode + self.scale_nominal_param_value = scale_nominal_param_value + self.scale_constant_value = scale_constant_value + # Set the Objective Function to 0 helps solve square problem quickly + self.objective_option = 'zero' + + # calculate how much the FIM element is scaled by a constant number + self.fim_scale_constant_value = self.scale_constant_value ** 2 + + self.__check_inputs(check_mode=True) + + # store all results object list + result_object_list = [] + # store all FIM + fim_list = [] + # loop over experiments + for i in range(self.no_exp): + print('========This is the No.', i, ' experiment.========') + if self.verbose: + print('Design variables:', self.design_values_set[i]) + + # call compute_FIM to get FIM + if i==0: + prior_in_use = self.prior_FIM + else: + prior_in_use = fim_list[i-1] + + # run the experiment with compute_FIM + result_iter = self.compute_FIM(self.design_values_set[i], mode=self.mode, specified_prior=prior_in_use, + tee_opt=tee_option, + scale_nominal_param_value=self.scale_nominal_param_value, + formula=formula, step=step) + + if (self.mode == 'simultaneous_finite'): + result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.objective_option, add_fim=True) + + elif (self.mode in ['sequential_finite', 'sequential_sipopt', 'sequential_kaug']): + result_iter.calculate_FIM(self.jac, self.design_values) + + # attach these results to the store list + result_object_list.append(result_iter) + fim_list.append(result_iter.FIM) + + return result_object_list, fim_list + + def run_grid_search(self, design_values, design_ranges, design_dimension_names, design_control_time, mode='sequential_finite', + tee_option=False, scale_nominal_param_value=False, scale_constant_value=1, + filename=None, formula='central', step=0.001): + ''' + Enumerate through full grid search for any number of design variables; + solve square problems sequentially to compute FIMs. + It calculates FIM with sensitivity information from four ways: + 1. Simultaneous: Calculate a multiple scenario model. Sensitivity info estimated by finite difference + 2. Sequential_ipopt: Calculates a one scenario model multiple times for + multiple scenarios. Sensitivity info estimated by finite difference + 3. Sequential_sipopt: calculate sensitivity by sIPOPT. + 4. Sequential_kaug: calculate sensitivity by k_aug + + Parameters: + ----------- + design_values: a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point + design_ranges: a list of design variable values to go over + design_dimension_names: a list of design variable names of each design range + deisgn_control_time: a list of control time points that should be fixed to the values in dv_ranges + mode: use mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' + tee_option: if IPOPT console output is made + scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init + scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small + filename: if True, grid search results stored with this file name + + Only effective when finite=True: + formula: choose from 'central', 'forward', 'backward', None + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + + Return: + ------- + figure_draw_object: a combined result object of class Grid_search_result + ''' + # Set the Objective Function to 0 helps solve square problem quickly + self.objective_option='zero' + self.filename = filename + + # calculate how much the FIM element is scaled + self.fim_scale_constant_value = scale_constant_value ** 2 + + # when defining design space, design variable values are defined as in design_values argument + # the design var value defined in dv_ranges only applies to control time points given in dv_apply_time + grid_dimension = len(design_ranges) + + # to store all FIM results + result_combine = {} + + # time 0 + t_begin = time.time() + + # iteration 0 + count = 0 + # how many sets of design variables will be run + total_count = 1 + for i in range(grid_dimension): + total_count *= len(design_ranges[i]) + print(total_count, ' design vectors will be searched.') + + # generate combinations of design variable values to go over + search_design_set = product(*design_ranges) + + # loop over deign value combinations + for design_set_iter in search_design_set: + # generate the design variable dictionary needed for running compute_FIM + # first copy value from design_Values + design_iter = design_values.copy() + + # update the controlled value of certain time points for certain design variables + for i in range(grid_dimension): + for v, value in enumerate(design_control_time[i]): + design_iter[design_dimension_names[i]][value] = list(design_set_iter)[i] + + print('=======This is the ', count+1, 'th iteration=======') + print('Design variable values of this iteration:', design_iter) + + t_each_begin = time.time() + + # call compute_FIM to get FIM + result_iter = self.compute_FIM(design_iter, mode=mode, + tee_opt=tee_option, + scale_nominal_param_value=scale_nominal_param_value, + scale_constant_value = scale_constant_value, + formula=formula, step=step) + + if (mode=='simultaneous_finite'): + result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, objective_option) + + elif (mode in ['sequential_finite', 'sequential_sipopt', 'sequential_kaug']): + result_iter.calculate_FIM(self.jac, self.design_values) + + t_now = time.time() + + if self.verbose: + # give run information at each iteration + print('This is the ', count+1, ' run out of ', total_count, 'run.') + print('The code has run %.04f seconds.'% (t_now-t_begin)) + print('Estimated remaining time: %.4f seconds' % ((t_now-t_begin)/(count+1)*(total_count-count-1))) + count += 1 + + # the combined result object are organized as a dictionary, keys are a tuple of the design variable values, values are a result object + result_combine[tuple(design_set_iter)] = result_iter + + t_end = time.time() + print('The whole run takes ', t_end - t_begin, ' s.') + + # For user's access + self.all_fim = result_combine + + # Create figure drawing object + figure_draw_object = Grid_Search_Result(design_ranges, design_dimension_names, design_control_time, result_combine) + + # store results + if self.filename is not None: + f = open(filename, 'wb') + pickle.dump(result_combine, f) + f.close() + + return figure_draw_object + + + def __create_doe_model(self): + ''' + Add features for DOE. + + Parameters: + ----------- + self.measurement_variables: the variable name of the model output, for e.g., ['CA', 'CB', 'CC']. + self.measurement_timeset: a list of measurement time points. can be different from control time points + self.design_values: a dict of dictionaries, keys are the name of design variables, values are a dict where keys are the time points, values are the design variable value at that time point + + self.optimize: if True, solve the problem unfixing the design variables. if False, solve the problem as a + square problem + self.objective_option: choose from 'det' or 'trace'. Optimization problem maximizes determinant or trace. + self.scale_nominal_param_value: if True, scale FIM but not scale Jacobian. This toggle can be opened for better performance when the + problem is poorly scaled. + self.tee_opt: if True, print IPOPT console output + self.Cholesky_option: if true, cholesky decomposition is used for Objective function (to optimize determinant). If true, determinant will not be calculated. + self.L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 + self.L_initial: initialize the L + self.formula: choose from 'central', 'forward', 'backward', None + self.step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + + Return: + ------- + m: the DOE model + ''' + # call generator function to get scenario dictionary + scena_gen = Scenario_generator(self.param_init, formula=self.formula, step=self.step, store=True) + scenario_all = scena_gen.simultaneous_scenario() + + # create model + m = self.create_model(scenario_all) + # discretize if discretization function is provided + if self.discretize_model is not None: + m = self.discretize_model(m) + + # extract (discretized) time + time_set=[] + for t in m.t: + time_set.append(value(t)) + + # create parameter, measurement, time and measurement time set + m.para_set = Set(initialize=self.param_name) + param_name = self.param_name + m.y_set = Set(initialize=self.measurement_variables) + m.t_set = Set(initialize=time_set) + m.tmea_set = Set(initialize=self.measurement_timeset) + + # we can be sure about the name of scenarios, because they are generated by our function + m.scenario = Set(initialize=scenario_all['scena-name']) + m.optimize = self.optimize + + # check if measurement time points are in the time set + for t in m.tmea_set: + if not (t in m.t): + raise ValueError('Warning: Measure timepoints should be in the time list.') + + # check if control time points are in the time set + for d in range(len(self.design_name)): + for t in self.design_time[d]: + if not (t in m.t): + raise ValueError('Warning: Control timepoints should be in the time list.') + + ### Define variables + # Elements in Jacobian matrix + m.jac = Var(m.y_set, m.para_set, m.tmea_set, initialize=1E-20) + + # Initialize Hessian with an identity matrix + def identity_matrix(m,j,d): + if j==d: + return 1 + else: + return 0 + m.FIM = Var(m.para_set, m.para_set, initialize=identity_matrix) + + if self.objective_option=='trace': + # Trace of FIM + m.trace = Var(initialize=1, within=NonNegativeReals) + elif self.objective_option=='det': + # Determinant of FIM + m.det = Var(initialize=0.5, within=NonNegativeReals) + elif (self.objective_option != 'zero'): + raise ValueError('Undefined objective function type. Available options are "trace" and "det".') + + # move the L matrix initial point to a dictionary + if self.L_initial is not None: + dict_cho={} + for i, bu in enumerate(m.para_set): + for j, un in enumerate(m.para_set): + dict_cho[(bu,un)] = self.L_initial[i][j] + # use the L dictionary to initialize L matrix + def init_cho(m,i,j): + return dict_cho[(i,j)] + + if self.Cholesky_option: + # Define elements of Cholesky decomposition matrix as Pyomo variables and either + # Initialize with L in L_initial + if self.L_initial is not None: + m.L_ele = Var(m.para_set, m.para_set, initialize=init_cho) + # or initialize with the identity matrix + else: + m.L_ele = Var(m.para_set, m.para_set, initialize=identity_matrix) + + # loop over parameter name + for c in m.para_set: + for d in m.para_set: + # fix the 0 half of L matrix to be 0.0 + if (param_name.index(c) < param_name.index(d)): + m.L_ele[c,d].fix(0.0) + # Give LB to the diagonal entries + if self.L_LB is not None: + if c==d: + m.L_ele[c,d].setlb(self.L_LB) + + + def jac_numerical(m,j,p,t): + ''' + Calculate the Jacobian + j: model responses + p: model parameters + t: timepoints + ''' + # A better way to do this: + # https://github.com/IDAES/idaes-pse/blob/274e58bef55f2f969f0df97cbb1fb7d99342388e/idaes/apps/uncertainty_propagation/sens.py#L296 + + up_C = eval('m.'+j+'['+str(scenario_all['jac-index'][p][0])+','+str(t)+']') + lo_C = eval('m.'+j+'['+str(scenario_all['jac-index'][p][1])+','+str(t)+']') + + return m.jac[j,p,t] == (up_C - lo_C)/scenario_all['eps-abs'][p] *self.scale_constant_value + + #A constraint to calculate elements in Hessian matrix + # transfer prior FIM to be Expressions + dict_fele={} + for i, bu in enumerate(m.para_set): + for j, un in enumerate(m.para_set): + dict_fele[(bu,un)] = self.prior_FIM[i][j] + + def ele_todict(m,i,j): + return dict_fele[(i,j)] + m.refele = Expression(m.para_set, m.para_set, rule=ele_todict) + + def calc_FIM(m,j,d): + ''' + Calculate FIM elements + ''' + # check if scale + if self.scale_nominal_param_value: + return m.FIM[j,d] == sum(sum(m.jac[z,j,i]*self.param_init[j]*self.param_init[d]*m.jac[z,d,i] for z in m.y_set) for i in m.tmea_set) + m.refele[j, d]*self.fim_scale_constant_value + else: + return m.FIM[j,d] == sum(sum(m.jac[z,j,i]*m.jac[z,d,i] for z in m.y_set) for i in m.tmea_set) + m.refele[j, d]*self.fim_scale_constant_value + + def trace_calc(m): + ''' + Calculate FIM elements. Can scale each element with 1000 for performance + ''' + sum_x = 0 + for j in m.para_set: + for d in m.para_set: + if d==j: + sum_x += m.FIM[j,d] + return m.trace == sum_x + + def det_general(m): + '''Calculate determinant. Can be applied to FIM of any size. + det(A) = sum_{\sigma \in \S_n} (sgn(\sigma) * \Prod_{i=1}^n a_{i,\sigma_i}) + Use permutation() to get permutations, sgn() to get signature + ''' + r_list = list(range(len(m.para_set))) + # get all permutations + object_p = itertools.permutations(r_list) + list_p = list(object_p) + + # generate a name_order to iterate \sigma_i + det_perm = 0 + for i in range(len(list_p)): + name_order = [] + x_order = list_p[i] + # sigma_i is the value in the i-th position after the reordering \sigma + for x in range(len(x_order)): + for y, element in enumerate(m.para_set): + if x_order[x] == y: + name_order.append(element) + + # det(A) = sum_{\sigma \in \S_n} (sgn(\sigma) * \Prod_{i=1}^n a_{i,\sigma_i}) + det_perm = sum( self.__sgn(list_p[d])*sum(m.FIM[each, name_order[b]] for b, each in enumerate(m.para_set)) for d in range(len(list_p))) + return m.det == det_perm + + + def cholesky_imp(m,c,d): + ''' + Calculate Cholesky L matrix using algebraic constraints + ''' + # If it is the left bottom half of L + if (param_name.index(c)>=param_name.index(d)): + return m.FIM[c,d] == sum(m.L_ele[c, param_name[k]]*m.L_ele[d, param_name[k]] for k in range(param_name.index(d)+1)) + else: + # This is the empty half of L above the diagonal + return Constraint.Skip + + + ### Constraints and Objective function + m.dC_value = Constraint(m.y_set, m.para_set, m.tmea_set, rule=jac_numerical) + m.ele_rule = Constraint(m.para_set, m.para_set, rule=calc_FIM) + + # Only giving the objective function when there's Degree of freedom. Make OBJ=0 when it's a square problem, which helps converge. + if self.optimize: + # if cholesky, calculating L and evaluate the OBJ with Cholesky decomposition + if self.Cholesky_option: + m.cholesky_cons = Constraint(m.para_set, m.para_set, rule=cholesky_imp) + m.obj = Objective(expr=2*sum(log(m.L_ele[j,j]) for j in m.para_set), sense=maximize) + # if not cholesky but determinant, calculating det and evaluate the OBJ with det + elif (self.objective_option=='det'): + m.det_rule = Constraint(rule=det_general) + m.obj = Objective(expr=log(m.det), sense=maximize) + # if not determinant or cholesky, calculating the OBJ with trace + elif (self.objective_option=='trace'): + m.trace_rule = Constraint(rule=trace_calc) + m.obj = Objective(expr=log(m.trace), sense=maximize) + elif (self.objective_option=='zero'): + m.obj = Objective(expr=0) + else: + m.obj = Objective(expr=0) + + return m + + + def __fix_design(self, m, design_val, fix_opt=True): + ''' Fix design variable + + Parameters: + ----------- + m: model + design_val: design variable values dict + fix_opt: if True, fix. Else, unfix + + Returns: + -------- + m: model + ''' + # loop over the design variables and time index and to fix values specified in design_val + for d, dname in enumerate(self.design_name): + for t, time in enumerate(self.design_time[d]): + newvar = eval('m.' + dname + '[' + str(time) + ']') + fix_v = design_val[dname][time] + if fix_opt: + newvar.fix(fix_v) + else: + newvar.unfix() + return m + + def __solve_with_default_ipopt(self): + ''' Default solver + ''' + solver = SolverFactory('ipopt') + solver.options['linear_solver'] = 'ma57' + solver.options['halt_on_ampl_error'] = 'yes' + return solver + + def __solve_doe(self, m, fix=False): + '''Solve DOE model. + If it's a square problem, fix design variable and solve. + Else, fix design variable and solve square problem firstly, then unfix them and solve the optimization problem + + Parameters: + ----------- + m:model + fix: if true, solve two times (square first). Else, just solve the square problem + + Return: + ------- + solver_results: solver results + ''' + ### Solve square problem + mod = self.__fix_design(m, self.design_values, fix_opt=fix) + + # if user gives solver, use this solver. if not, use default IPOPT solver + solver_result = self.solver.solve(mod,tee=self.tee_opt) + + return solver_result + + def __add_parameter(self, m, perturb=0): + ''' + For sIPOPT: add parameter perturbation set + + Parameters: + ----------- + m: model name + self.param_names: perturbation parameter names + perturb: which parameter to perturb + ''' + # model parameters perturbation, backward disturb + param_backward = self.param_value.copy() + # perturb parameter + param_backward[perturb] *= (1-self.step) + + # generate sIPOPT perturbed parameter names + param_perturb_names = self.param_name.copy() + for x, xname in enumerate(self.param_name): + param_perturb_names[x] = xname+'_pert' + if self.verbose: + print('perturb names are:', param_perturb_names) + + self.perturb_names = param_perturb_names + if self.verbose: + print('Perturbation parameters are set:') + for change in range(len(self.perturb_names)): + setattr(m, self.perturb_names[change], Param(m.scena, initialize=param_backward[change])) + if self.verbose: + print(self.perturb_names[change], ': ', value(eval('m.'+self.perturb_names[change]+'[0]'))) + return m + + def __sgn(self,p): + ''' + Give the signature of a permutation + + Parameters: + ----------- + p: the permutation (a list) + + Return: + ------ + 1 if the number of exchange is an even number + -1 if the number is an odd number + ''' + + if len(p) == 1: + return True + + trans = 0 + + for i in range(0, len(p)): + j = i + 1 + + for j in range(j, len(p)): + if p[i] > p[j]: + trans = trans + 1 + + if (trans % 2) == 0: + return 1 + else: + return -1 + + +class Scenario_generator: + def __init__(self, para_dict, formula='central', step=0.001, store=False): + '''Generate scenarios. + DoE library first calls this function to generate scenarios. + For sequential and simultaneous models, call different functions in this class. + + Parameters: + ----------- + para_dict: a Dict of parameter, keys are names, values are their nominal value. for e.g., + {'A1': 84.79, 'A2': 371.72, 'E1': 7.78, 'E2': 15.05} + formula: choose from 'central', 'forward', 'backward', None. + step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 + store: if store results + ''' + + if formula not in ['central', 'forward', 'backward', None]: + raise ValueError('Error: undefined formula. Available formulas: central, forward, backward, none.') + + # get info from parameter dictionary + self.para_dict = para_dict + self.para_names = list(para_dict.keys()) + self.no_para = len(self.para_names) + self.formula = formula + self.step = step + self.store = store + # This is the parameter nominal values + self.scenario_nominal = [] + for d in self.para_names: + self.scenario_nominal.append(para_dict[d]) + + def simultaneous_scenario(self): + ''' + Generate scenario dict for simultaneous models + + Returns: + ------- + scena_overall: a dictionary containing scenarios dictionaries. + scena_overall[name of parameter]: a dict, keys are the scenario name(numeric integer starting from 0), values are parameter value in this scenario + scena_overall['jac-index']: keys are parameter name, values are the scenario names perturbing this parameter. + scena_overall['eps-abs']: keys are parameter name, values are the step it is perturbed + scena_overall['scena-name']: a list of scenario names + + For e.g., if a dict {'P':100, 'D':20} is given, step=0.1, formula='central', it will return: + scena_overall = {'P': {0: 101.0, 1: 100, 2: 99.0, 3: 100}, 'D': {0: 20, 1: 20.2, 2: 20, 3: 19.8}, 'jac-index': {'P': [0, 2], 'D': [1, 3]}, 'eps-abs': {'P': 2.0, 'D': 0.4}, 'scena-name': [0, 1, 2, 3]} + if formula ='forward', it will return: + scena_overall = {'P':{'0':110, '1':100, '2':100}, 'D':{'0':20, '1':22, '2':20}, 'jac-index':{'P':[0,2], 'D':[1,2]}, 'eps-abs':{'P':10,'D':2}, 'scena-name': [0,1,2]} + ''' + # generate scenarios + scena_keys, scena = self.__scena_generate(self.scenario_nominal, self.formula) + self.scena_keys = scena_keys + self.scena = scena + + # call scneario class and method + scenario_object = Scenario_data(self.para_dict, self.scena_keys, self.scena, self.formula, self.step) + scenario_overall = scenario_object.create_scenario() + + # store scenario + if self.store: + f = open('scenario_simultaneous', 'wb') + pickle.dump(scenario_overall, f) + f.close() + + return scenario_overall + + def next_sequential_scenario(self, count): + ''' + Generate a single scenario class for one of the sequential models + + Parameters: + ---------- + count: the No. of the sequential models + + Returns: + ------- + scenario_next: scenario dict for this sequential model + ''' + scena_keys, scena = self.__scena_generate(list(self.scena[count].values()), None) + + # each model is basically a 'none' case of an invasive model + scenario_object = Scenario_data(self.scena[count], scena_keys, scena, None, self.step) + scenario_next = scenario_object.create_scenario() + + return scenario_next + + def generate_sequential_para(self): + ''' + Generate object and some 'parameters' for sequential models + + Returns (added to self object): + ------- + self.scena_keys: scenario name, a list of numbers + self.scena: a list of parameter dictionaries for all sequential models + self.scenario_para: a list of two No. of models involved in calculating one parameter sensitivity + self.eps_abs: keys are parameter name, values are the step it is perturbed + ''' + + scena_keys, scena = self.__scena_generate(self.scenario_nominal, self.formula) + self.scena_keys = scena_keys + self.scena = scena + + # record the number of scenarios involved in calculating a certain parameter sensitivities + scenario_para = {} + for p, para in enumerate(self.para_names): + # the scenario involved in Jacobian calculation + if self.formula == 'central': + scenario_para[para] = [p, p + self.no_para] + elif self.formula == None: + raise ValueError('Error: finite difference scheme should be chosen.') + else: + scenario_para[para] = [p, self.no_para] + + self.scenario_para = scenario_para + + # calculate the perturbation size of every parameter + eps_abs = {} + for para in self.para_names: + # for central difference scheme, perturbation size is two times the step size + if self.formula == 'central': + eps_abs[para] = 2 * self.step * self.para_dict[para] + else: + eps_abs[para] = self.step * self.para_dict[para] + + self.eps_abs = eps_abs + + def __scena_generate(self, para_nominal, formula): + ''' + Generate scenario logics + + Returns: (store in self object) + -------- + self.scena_keys: a list of scenario names + self.scena: a dict, keys are scenario names, values are a list of parameter values + ''' + # generate scenario names + if formula == 'central': + scena_keys = list(range(2 * self.no_para)) + elif formula == None: + scena_keys = [0] + else: + scena_keys = list(range(self.no_para + 1)) + + # generate all parameter dict needed for creating a scenario + scena = {} + # generate a dict, keys are scenario number, values are a list of parameter values in this scenario + for i, name in enumerate(scena_keys): + scenario = para_nominal.copy() + + if formula == 'central': + # scenario 0 to #_of_para-1 are forward perturbed + if i < self.no_para: + scenario[i] *= (1 + self.step) + # scenario #_of_para to 2*#_of_para-1 are backward perturbed + else: + scenario[i - self.no_para] *= (1 - self.step) + + elif formula == 'forward': + # scenario 0 to #_of_para-1 are forward perturbed + if i < self.no_para: + scenario[i] *= (1 + self.step) + + elif formula == 'backward': + # scenario 0 to #_of_para-1 are backward perturbed + if i < self.no_para: + scenario[i] *= (1 - self.step) + + scenario_dict = {} + for n, pname in enumerate(self.para_names): + scenario_dict[pname] = scenario[n] + + scena[name] = scenario_dict + + return scena_keys, scena + + # TODO: need to consider how to store both hyperparameter and scenario classes in pickle + # if self.store: + # f = open('scenario_combine','wb') + # pickle.dump(scenario_comp, f) + # f.close() + + +class Scenario_data: + def __init__(self, parameter_dict, scena_keys, scena, form, step): + ''' + Generate scenario for a simultaneous model + + parameter_dict: parameter dictionaries + scena_keys: scenario name, a list of numbers + scena: a list of parameter dictionaries for all sequential models + form: choose from 'central', 'forward', 'backward', 'none'. + step: stepsize of a fraction, such as 0.01 + + Returns: + -------- + scena_dict: a dictionary containing scenarios dictionaries. + scena_dict[name of parameter]: a dict, keys are the scenario name(numeric integer starting from 0), values are parameter value in this scenario + scena_dict['jac-index']: keys are parameter name, values are the scenario names perturbing this parameter. + scena_dict['eps-abs']: keys are parameter name, values are the step it is perturbed + scena_dict['scena-name']: a list of scenario names + + For e.g., if a dict {'P':100, 'D':20} is given, step=0.1, formula='central', it will return: + scena_dict = {'P': {0: 101.0, 1: 100, 2: 99.0, 3: 100}, 'D': {0: 20, 1: 20.2, 2: 20, 3: 19.8}, 'jac-index': {'P': [0, 2], 'D': [1, 3]}, 'eps-abs': {'P': 2.0, 'D': 0.4}, 'scena-name': [0, 1, 2, 3]} + if formula ='forward', it will return: + scena_dict = {'P':{'0':110, '1':100, '2':100}, 'D':{'0':20, '1':22, '2':20}, 'jac-index':{'P':[0,2], 'D':[1,2]}, 'eps-abs':{'P':10,'D':2}, 'scena-name': [0,1,2]} + ''' + # get info from parameter dictionary + self.para_dict = parameter_dict + self.para_names = list(parameter_dict.keys()) + + self.scena = scena + self.scena_keys = scena_keys + # print('scena:', scena) + # print('scena keys:', scena_keys) + self.no_para = len(self.para_names) + self.formula = form + self.step = step + + # This is the parameter nominal values + self.scenario_nominal = [] + for d in self.para_names: + self.scenario_nominal.append(parameter_dict[d]) + + def create_scenario(self): + # overall dict to return + scenario_dict = {} + # dict for scenario position + jac_index = {} + # dict for parameter perturbaion step size + eps_abs = {} + + # loop over parameter name + for p, para in enumerate(self.para_names): + scena_p = {} + for n in self.scena_keys: + # print(self.scena[n][para]) + scena_p[n] = self.scena[n][para] + + # a dictionary of scenarios and its corresponding parameter values + scenario_dict[para] = scena_p + + # for central difference scheme, perturbation size is two times the step size + if self.formula == 'central': + eps_abs[para] = 2 * self.step * self.para_dict[para] + else: + eps_abs[para] = self.step * self.para_dict[para] + + # the scenario involved in Jacobian calculation + if self.formula == 'central': + jac_index[para] = [p, p + self.no_para] + elif self.formula == None: + jac_index[para] = [0] + else: + jac_index[para] = [p, self.no_para] + + scenario_dict['jac-index'] = jac_index + scenario_dict['eps-abs'] = eps_abs + scenario_dict['scena-name'] = self.scena_keys + + # print('Return scenario dict as:', scenario_dict) + return scenario_dict + + +class FIM_result: + def __init__(self, para_name, prior_FIM=None, store_FIM=None, scale_constant_value=1, max_condition_number=1.0E12, + verbose=True): + ''' + Analyze the FIM result for a single run + + Parameters: + ----------- + para_name: parameter names + prior_FIM: if there's prior FIM to be added + store_FIM: if storing the FIM in a .csv, give the file name here as a string, '**.csv' or '**.txt'. + scale_constant_value: the constant value used to scale the sensitivity + max_condition_number: max condition number + verbose: if print statements are used + ''' + self.para_name = para_name + self.prior_FIM = prior_FIM + self.store_FIM = store_FIM + self.scale_constant_value = scale_constant_value + self.fim_scale_constant_value = scale_constant_value ** 2 + self.max_condition_number = max_condition_number + self.verbose = verbose + + def calculate_FIM(self, jaco_info, dv_values, result=None): + ''' + Calculate FIM from Jacobian information. This is for grid search (combined models) results + + Parameters: + ----------- + jaco_info: jacobian dictionary + dv_values: design variable value dictionary + sq_result: solver status returned by IPOPT + + Return: + ------ + fim_info: a FIM dictionary containing the following key:value pairs + ~['FIM']: a list containing FIM itself + ~[design variable name]: a list of design variable values at each time point + ~['Trace']: a scalar number of Trace + ~['Determinant']: a scalar number of determinant + ~['Condition number:']: a scalar number of condition number + ~['Minimal eigen value:']: a scalar number of minimal eigen value + ~['Eigen values:']: a list of all eigen values + ~['Eigen vectors:']: a list of all eigen vectors + solver_info: a solver infomation dictionary containing the following key:value pairs + ~['square']: a string of square result solver status + ''' + self.result = result + self.doe_result = None + # create a dict for FIM. It has the same keys as the Jacobian dict. + + # get number of parameters + no_param = len(self.para_name) + ### calculate the FIM + fim = np.zeros((no_param, no_param)) + # loop over parameters + for row, para_n in enumerate(self.para_name): + for col, para_m in enumerate(self.para_name): + jaco_n = np.asarray(jaco_info[para_n]) + jaco_m = np.asarray(jaco_info[para_m]) + #fim[row][col] = jaco_info[para_n].T@jaco_info[para_m] + fim[row][col] = jaco_n.T@jaco_m + + # add prior information + if (self.prior_FIM is not None): + try: + fim = fim + self.prior_FIM + print('Existed information has been added.') + except: + raise ValueError('Check the shape of prior FIM') + + if np.linalg.cond(fim) > self.max_condition_number: + print("Warning: FIM is near singular.") + print('The condition number is:', np.linalg.cond(fim), ';') + print('A condition number bigger than ', self.max_condition_number, ' is considered near singular.') + + # call private methods + self.__print_FIM_info(fim, dv_set=dv_values) + if self.result is not None: + self.__get_solver_info() + + # if given store file name, store the FIM + if (self.store_FIM is not None): + self.__store_FIM() + + def extract_FIM(self, m, dv_set, result, obj=None, add_fim=False): + ''' + Extract FIM from an invasive model + + Parameters: + ----------- + m: model + dv_set: design variable value dictionary + result: problem solver status by IPOPT + obj: chosen from 'det' and 'trace' + add_fim: if the given FIM needs to be added. Do not add for optimize_doe(). + + Return: + ------ + fim_info: a FIM dictionary containing the following key:value pairs + ~['FIM']: a list of FIM itself + ~[design variable name]: a list of design variable values at each time point + ~['Trace']: a scalar number of Trace + ~['Determinant']: a scalar number of determinant + ~['Condition number:']: a scalar number of condition number + ~['Minimal eigen value:']: a scalar number of minimal eigen value + ~['Eigen values:']: a list of all eigen values + ~['Eigen vectors:']: a list of all eigen vectors + model_info: model solutions dictionary containing the following key:value pairs + ~['obj']: a scalar number of objective function value + ~['det']: a scalar number of determinant calculated by the model (different from FIM_info['det'] which + is calculated by numpy) + -['trace']: a scalar number of trace calculated by the model + -[design variable name]: a list of design variable solution + solver_status: a solver infomation dictionary containing the following key:value pairs + ~['square']: a string of square result solver status + -['doe']: a string of doe result solver status + ''' + self.result = result + self.obj = obj + no_para = len(self.para_name) + + # Extract FIM infomation + FIM = np.ones((no_para, no_para)) + # loop over row + for n1, name1 in enumerate(self.para_name): + # loop over column + for n2, name2 in enumerate(self.para_name): + FIM[n1, n2] = value(m.FIM[name1, name2]) / self.fim_scale_constant_value + + # add prior information + if add_fim: + if (self.prior_FIM is not None): + try: + FIM = FIM + self.prior_FIM + print('FIM prior has been added.') + except: + raise ValueError('Prior FIM has shape ', np.shape(self.prior_FIM), ', but expecting shape ', np.shape(FIM)) + + # call private methods + self.__print_FIM_info(FIM, dv_set=dv_set) + self.__solution_info(m, dv_set) + self.__get_solver_info() + + # if given store file name, store the FIM + if (self.store_FIM is not None): + self.__store_FIM() + + def __print_FIM_info(self, FIM, dv_set=None): + ''' + using a dictionary to store all FIM information + + Parameters: + ----------- + FIM: the Fisher Information Matrix, needs to be P.D. and symmetric + dv_set: design variable dictionary + + Return: + ------ + fim_info: a FIM dictionary containing the following key:value pairs + ~['FIM']: a list of FIM itself + ~[design variable name]: a list of design variable values at each time point + ~['Trace']: a scalar number of Trace + ~['Determinant']: a scalar number of determinant + ~['Condition number:']: a scalar number of condition number + ~['Minimal eigen value:']: a scalar number of minimal eigen value + ~['Eigen values:']: a list of all eigen values + ~['Eigen vectors:']: a list of all eigen vectors + ''' + eig = np.linalg.eigvals(FIM) + self.FIM = FIM + self.trace = np.trace(FIM) + self.det = np.linalg.det(FIM) + self.min_eig = min(eig) + self.cond = max(eig) / min(eig) + self.eig_vals = eig + self.eig_vecs = np.linalg.eig(FIM)[1] + + dv_names = list(dv_set.keys()) + + FIM_dv_info = {} + FIM_dv_info[dv_names[0]] = dv_set[dv_names[0]] + FIM_dv_info[dv_names[1]] = dv_set[dv_names[1]] + + self.dv_info = FIM_dv_info + + if self.verbose: + print('FIM:', self.FIM) + + print('Trace:', self.trace) + print('Determinant:', self.det) + print('Condition number:', self.cond) + print('Minimal eigen value:', self.min_eig) + print('Eigen values:', self.eig_vals) + print('Eigen vectors:', self.eig_vecs) + + def __solution_info(self, m, dv_set): + ''' + Solution information. Only for optimization problem + + Parameters: + ----------- + m: model + dv_set: design variable dictionary + + Return: + ------ + model_info: model solutions dictionary containing the following key:value pairs + ~['obj']: a scalar number of objective function value + ~['det']: a scalar number of determinant calculated by the model (different from FIM_info['det'] which + is calculated by numpy) + -['trace']: a scalar number of trace calculated by the model + -[design variable name]: a list of design variable solution + ''' + self.obj_value = value(m.obj) + print('Model objective:', self.obj_value) + + if self.obj == 'det': + self.obj_det = np.exp(value(m.obj)) / (self.fim_scale_constant_value) ** (len(self.para_name)) + print('Objective(determinant) is:', self.obj_det) + elif self.obj == 'trace': + self.obj_trace = np.exp(value(m.obj)) / (self.fim_scale_constant_value) + print('Objective(trace) is:', self.obj_trace) + + dv_names = list(dv_set.keys()) + dv_times = list(dv_set.values()) + + solution = {} + for d, dname in enumerate(dv_names): + sol = [] + for t, time in enumerate(dv_times[d]): + newvar = eval('m.' + dname + '[' + str(time) + ']') + sol.append(value(newvar)) + solution[dname] = sol + if self.verbose: + print('Solution of ', dname, ' :', solution[dname]) + self.solution = solution + + def __store_FIM(self): + # if given store file name, store the FIM + store_dict = {} + for i, name in enumerate(self.para_name): + store_dict[name] = self.FIM[i] + FIM_store = pd.DataFrame(store_dict) + FIM_store.to_csv(self.store_FIM, index=False) + + def __get_solver_info(self): + ''' + Solver information dictionary + + Return: + ------ + solver_status: a solver infomation dictionary containing the following key:value pairs + ~['square']: a string of square result solver status + -['doe']: a string of doe result solver status + ''' + print('======problem solver output======') + + if (self.result.solver.status == SolverStatus.ok) and ( + self.result.solver.termination_condition == TerminationCondition.optimal): + self.status = 'converged' + print('converged') + elif (self.result.solver.termination_condition == TerminationCondition.infeasible): + self.status = 'infeasible' + print('infeasible solution') + else: + self.status = self.result.solver.status + print('solver status:', self.result.solver.status) + + +class Grid_Search_Result: + def __init__(self, design_ranges, design_dimension_names, design_control_time, FIM_result_list, store_optimality_name=None, verbose=True): + ''' + This class deals with the FIM results from grid search, providing A, D, E, ME-criteria results for each design variable. + Can choose to draw 1D sensitivity curves and 2D heatmaps. + + Parameters: + ----------- + design_ranges: a dict whose keys are design variable names, values are a list of design variable values to go over + design_dimension_names: a list of design variables names + design_control_time: a list of design control timesets + FIM_result_list: a dictionary containing FIM results, keys are a tuple of design variable values, values are FIM result objects + store_optimality_name: a csv file name containing all four optimalities value + verbose: if print statements + ''' + # design variables + self.design_names = design_dimension_names + self.design_ranges = design_ranges + self.design_control_time = design_control_time + self.FIM_result_list = FIM_result_list + + self.store_optimality_name = store_optimality_name + self.verbose = verbose + + def extract_criteria(self): + ''' + Extract design criteria values for every 'grid' (design variable combination) searched. + + Returns: + ------- + self.store_all_results_dataframe: a pandas dataframe with columns as design variable names and A, D, E, ME-criteria names. + Each row contains the design variable value for this 'grid', and the 4 design criteria value for this 'grid'. + ''' + + # a list store all results + store_all_results = [] + + # generate combinations of design variable values to go over + search_design_set = product(*self.design_ranges) + + # loop over deign value combinations + for design_set_iter in search_design_set: + if self.verbose: + print('Design variable: ', self.design_names) + print('Value : ', design_set_iter) + + # locate this grid in the dictionary of combined results + result_object_asdict = {k:v for k,v in self.FIM_result_list.items() if k==design_set_iter} + # an result object is identified by a tuple of the design variable value it uses + result_object_iter = result_object_asdict[design_set_iter] + + # store results as a row in the dataframe + store_iteration_result = list(design_set_iter) + store_iteration_result.append(result_object_iter.trace) + store_iteration_result.append(result_object_iter.det) + store_iteration_result.append(result_object_iter.min_eig) + store_iteration_result.append(result_object_iter.cond) + + # add this row to the dataframe + store_all_results.append(store_iteration_result) + + # generate column names for the dataframe + column_names = [] + # this count is for repeated design variable names which can happen in dynamic problems + count = 0 + for i in self.design_names: + # if a name is in the design variable name list more than once, name them as name_itself, name_itself2, ... + # this is because it can be errornous when we extract values from a dataframe with two columns having the same name + if i in column_names: + count += 1 + i_original = i + i = i+str(count+1) + print('Reminder: the ', count+1, 'th design variable ', i_original, ' is renamed as ', i, '.') + column_names.append(i) + + # Each design criteria has a column to store values + column_names.append('A') + column_names.append('D') + column_names.append('E') + column_names.append('ME') + # generate the dataframe + self.store_all_results_dataframe = pd.DataFrame(store_all_results, columns=column_names) + # if needs to store the values + if self.store_optimality_name is not None: + store_df.to_csv(self.store_optimality_name, index=False) + + + def figure_drawing(self, fixed_design_dimensions, sensitivity_dimension, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True): + ''' + Extract results needed for drawing figures from the overall result dataframe. + Draw 1D sensitivity curve or 2D heatmap. + It can be applied to results of any dimensions, but requires design variable values in other dimensions be fixed. + + Parameters: + ---------- + fixed_design_dimensions: a dictionary, keys are the design variable names to be fixed, values are the value of it to be fixed. + sensitivity_dimension: a list of design variable names to draw figures. + If only one name is given, a 1D sensitivity curve is drawn + if two names are given, a 2D heatmap is drawn. + title_text: name of the figure, a string + xlabel_text: x label title, a string. + In a 1D sensitivity curve, it is the design variable by which the curve is drawn. + In a 2D heatmap, it should be the second design varialbe in the design_ranges + ylabel_text: y label title, a string. + A 1D sensitivity cuve does not need it. In a 2D heatmap, it should be the first design variable in the dv_ranges + font_axes: axes label font size + font_tick: tick label font size + log_scale: if True, the result matrix will be scaled by log10 + + Returns: + -------- + None + ''' + self.fixed_design_names = list(fixed_design_dimensions.keys()) + self.fixed_design_values = list(fixed_design_dimensions.values()) + self.sensitivity_dimension = sensitivity_dimension + + assert (len(self.fixed_design_names)+len(self.sensitivity_dimension)==len(self.design_names)), \ + 'Error: All dimensions except for those the figures are drawn by should be fixed.' + + assert (len(self.sensitivity_dimension) in [1,2]), 'Error: Either 1D or 2D figures can be drawn.' + + # generate a combination of logic sentences to filter the results of the DOF needed. + if len(self.fixed_design_names) != 0: + if self.verbose: + print( self.fixed_design_names, 'is/are fixed.') + filter = '' + for i in range(len(self.fixed_design_names)): + filter += '(self.store_all_results_dataframe[' + filter += str(self.fixed_design_names[i]) + filter += ']==' + filter += str(self.fixed_design_values[i]) + filter += ')' + if i != (len(self.fixed_design_names)-1): + filter += '&' + # extract results with other dimensions fixed + figure_result_data = self.store_all_results_dataframe.loc[eval(filter)] + # if there is no other fixed dimensions + else: + figure_result_data = self.store_all_results_dataframe + + # add results for figures + self.figure_result_data = figure_result_data + + # if one design variable name is given as DOF, draw 1D sensitivity curve + if (len(sensitivity_dimension) == 1): + if self.verbose: + print('1D sensitivity curve is plotted with ', self.sensitivity_dimension[0], '.') + self.__curve1D(title_text, xlabel_text, font_axes=16, font_tick=14, log_scale=True) + # if two design variable names are given as DOF, draw 2D heatmaps + elif (len(sensitivity_dimension) == 2): + if self.verbose: + print('2D heatmap is plotted with ', self.sensitivity_dimension, '.') + self.__heatmap(title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True) + + + def __curve1D(self, title_text, xlabel_text, font_axes=16, font_tick=14, log_scale=True): + ''' + Draw 1D sensitivity curves for all design criteria + + Parameters: + ---------- + title_text: name of the figure, a string + xlabel_text: x label title, a string. + In a 1D sensitivity curve, it is the design variable by which the curve is drawn. + font_axes: axes label font size + font_tick: tick label font size + log_scale: if True, the result matrix will be scaled by log10 + + Returns: + -------- + 4 Figures of 1D sensitivity curves for each criteria + ''' + + # extract the range of the DOF design variable + x_range = self.figure_result_data[self.sensitivity_dimension[0]].values.tolist() + + # decide if the results are log scaled + if log_scale: + y_range_A = np.log10(self.figure_result_data['A'].values.tolist()) + y_range_D = np.log10(self.figure_result_data['D'].values.tolist()) + y_range_E = np.log10(self.figure_result_data['E'].values.tolist()) + y_range_ME = np.log10(self.figure_result_data['ME'].values.tolist()) + else: + y_range_A = self.figure_result_data['A'].values.tolist() + y_range_D = self.figure_result_data['D'].values.tolist() + y_range_E = self.figure_result_data['E'].values.tolist() + y_range_ME = self.figure_result_data['ME'].values.tolist() + + # Draw A-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + #plt.rcParams.update(params) + ax.plot(x_range, y_range_A) + ax.scatter(x_range, y_range_A) + ax.set_ylabel('$log_{10}$ Trace') + ax.set_xlabel(xlabel_text) + plt.title(title_text + ' - A optimality') + plt.show() + + # Draw D-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + # plt.rcParams.update(params) + ax.plot(x_range, y_range_D) + ax.scatter(x_range, y_range_D) + ax.set_ylabel('$log_{10}$ Determinant') + ax.set_xlabel(xlabel_text) + plt.title(title_text + ' - D optimality') + plt.show() + + # Draw E-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + # plt.rcParams.update(params) + ax.plot(x_range, y_range_E) + ax.scatter(x_range, y_range_E) + ax.set_ylabel('$log_{10}$ Minimal eigenvalue') + ax.set_xlabel(xlabel_text) + plt.title(title_text + ' - E optimality') + plt.show() + + # Draw Modified E-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + # plt.rcParams.update(params) + ax.plot(x_range, y_range_ME) + ax.scatter(x_range, y_range_ME) + ax.set_ylabel('$log_{10}$ Condition number') + ax.set_xlabel(xlabel_text) + plt.title(title_text + ' - Modified E optimality') + plt.show() + + def __heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True): + ''' + Draw 2D heatmaps for all design criteria + + Parameters: + ---------- + title_text: name of the figure, a string + xlabel_text: x label title, a string. + In a 2D heatmap, it should be the second design varialbe in the design_ranges + ylabel_text: y label title, a string. + In a 2D heatmap, it should be the first design variable in the dv_ranges + font_axes: axes label font size + font_tick: tick label font size + log_scale: if True, the result matrix will be scaled by log10 + + Returns: + -------- + 4 Figures of 2D heatmap for each criteria + ''' + + # achieve the design variable ranges this figure needs + x_range = list(set(self.figure_result_data[self.sensitivity_dimension[0]].values.tolist())) + y_range = list(set(self.figure_result_data[self.sensitivity_dimension[1]].values.tolist())) + + # extract the design criteria values + A_range = self.figure_result_data['A'].values.tolist() + D_range = self.figure_result_data['D'].values.tolist() + E_range = self.figure_result_data['E'].values.tolist() + ME_range = self.figure_result_data['ME'].values.tolist() + + # reshape the design criteria values for heatmaps + cri_a = np.asarray(A_range).reshape(len(x_range), len(y_range)) + cri_d = np.asarray(D_range).reshape(len(x_range), len(y_range)) + cri_e = np.asarray(E_range).reshape(len(x_range), len(y_range)) + cri_e_cond = np.asarray(ME_range).reshape(len(x_range), len(y_range)) + + self.cri_a = cri_a + self.cri_d = cri_d + self.cri_e = cri_e + self.cri_e_cond = cri_e_cond + + # decide if log scaled + if log_scale: + hes_a = np.log10(self.cri_a) + hes_e = np.log10(self.cri_e) + hes_d = np.log10(self.cri_d) + hes_e2 = np.log10(self.cri_e_cond) + else: + hes_a = self.cri_a + hes_e = self.cri_e + hes_d = self.cri_d + hes_e2 = self.cri_e_cond + + # set heatmap x,y ranges + xLabel = x_range + yLabel = y_range + + # A-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + plt.rcParams.update(params) + ax.set_yticks(range(len(yLabel))) + ax.set_yticklabels(yLabel) + ax.set_ylabel(ylabel_text) + ax.set_xticks(range(len(xLabel))) + ax.set_xticklabels(xLabel) + ax.set_xlabel(xlabel_text) + im = ax.imshow(hes_a.T, cmap=plt.cm.hot_r) + ba = plt.colorbar(im) + ba.set_label('log10(trace(FIM))') + plt.title(title_text + ' - A optimality') + plt.show() + + # D-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + plt.rcParams.update(params) + ax.set_yticks(range(len(yLabel))) + ax.set_yticklabels(yLabel) + ax.set_ylabel(ylabel_text) + ax.set_xticks(range(len(xLabel))) + ax.set_xticklabels(xLabel) + ax.set_xlabel(xlabel_text) + im = ax.imshow(hes_d.T, cmap=plt.cm.hot_r) + ba = plt.colorbar(im) + ba.set_label('log10(det(FIM))') + plt.title(title_text + ' - D optimality') + plt.show() + + # E-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + plt.rcParams.update(params) + ax.set_yticks(range(len(yLabel))) + ax.set_yticklabels(yLabel) + ax.set_ylabel(ylabel_text) + ax.set_xticks(range(len(xLabel))) + ax.set_xticklabels(xLabel) + ax.set_xlabel(xlabel_text) + im = ax.imshow(hes_e.T, cmap=plt.cm.hot_r) + ba = plt.colorbar(im) + ba.set_label('log10(minimal eig(FIM))') + plt.title(title_text + ' - E optimality') + plt.show() + + # modified E-optimality + fig = plt.figure() + plt.rc('axes', titlesize=font_axes) + plt.rc('axes', labelsize=font_axes) + plt.rc('xtick', labelsize=font_tick) + plt.rc('ytick', labelsize=font_tick) + ax = fig.add_subplot(111) + params = {'mathtext.default': 'regular'} + plt.rcParams.update(params) + ax.set_yticks(range(len(yLabel))) + ax.set_yticklabels(yLabel) + ax.set_ylabel(ylabel_text) + ax.set_xticks(range(len(xLabel))) + ax.set_xticklabels(xLabel) + ax.set_xlabel(xlabel_text) + im = ax.imshow(hes_e2.T, cmap=plt.cm.hot_r) + ba = plt.colorbar(im) + ba.set_label('log10(cond(FIM))') + plt.title(title_text + ' - Modified E-optimality') + plt.show() + + + + +def simulate_discretize_model(m,NFE,collo=True,initialize=True): + ''' Simulation, discretize, and initialize the Pyomo model. + This is only used with Pyomo.DAE models. + + Parameters: + ----------- + m: Pyomo model + NFE: number of finite elements to consider (integer) + initialize: if True, initialize the discretized model with the + integrator solution (boolean) + + Returns: + ------- + sim: Simulator object from Pyomo.DAE + tsim: Timesteps returned from simulator + profiles: Results returned from simulator + ''' + # Simulate the model using casadi + sim = Simulator(m, package='casadi') + tsim, profiles = sim.simulate(integrator='idas', varying_inputs=m.var_input) + + if not collo: + discretizer = TransformationFactory('dae.finite_difference') + discretizer.apply_to(m, nfe=NFE, scheme='BACKWARD', wrt=m.t) + else: + # Discretize model using Orthogonal Collocation + discretizer = TransformationFactory('dae.collocation') + #discretizer.apply_to(m, nfe=NFE, scheme='LAGRANGE-RADAU', ncp=3, wrt=m.t) + discretizer.apply_to(m, nfe=NFE, scheme='LAGRANGE-LEGENDRE', ncp=3, wrt=m.t) + + if initialize: + # Initialize the discretized model using the simulator profiles + sim.initialize_model() + + return sim, tsim, profiles + + + + \ No newline at end of file diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index efad8d40196..b2118449262 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -31,7 +31,7 @@ "import pandas as pd \n", "from itertools import permutations, product, combinations\n", "\n", - "from DoE_package import *\n", + "from fim_doe import *\n", "from pyomo.contrib.sensitivity_toolbox.sens import sipopt" ] }, @@ -246,18 +246,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "d3ee5ff9", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Design variable: {'CA0': {0: 5}, 'T': {0: 570.21, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n" - ] - } - ], + "outputs": [], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", @@ -276,898 +268,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "latin-medicare", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 83.94294994963053\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 0.0000000e+00 1.65e+01 9.45e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.41e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.60e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5974421785358572e-10 1.5974421785358572e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5974421785358572e-10 1.5974421785358572e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: \n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3347\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 637\n", - "\n", - "Total number of variables............................: 865\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 865\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 3.00e-02 1.06e-01 -1.0 3.00e+00 - 9.83e-01 9.90e-01h 1\n", - " 2 0.0000000e+00 2.97e-04 3.30e-02 -1.0 3.00e-02 - 1.00e+00 9.90e-01h 1\n", - " 3 0.0000000e+00 8.69e-11 1.04e-05 -2.5 2.97e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 8.6894824669059290e-11 8.6894824669059290e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 8.6894824669059290e-11 8.6894824669059290e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", - "Pass the option square_override for the desired behaviour\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", - "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", - "W[K_AUG]...\t[MA57_DRIVER]\n", - "\n", - "\t\tCould not fix the accuracy of the problem.\n", - "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", - "\t\tWarning: results might be incorrect.\n", - "\t\tCurrent residual ratio 0.0424246; Max residual ratio 1e-10.\n", - "\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 865\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 865\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 865, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3347\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 637\n", - "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", - "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", - "I[MA57]...\t[]***\n", - " Runtime parameters:\n", - " Objective type: METIS_OBJTYPE_CUT\n", - " Coarsening type: Unknown!\n", - " Initial partitioning type: Unknown!\n", - " Refinement type: Unknown!\n", - " Perform a 2-hop matching: No\n", - " Number of balancing constraints: 1\n", - " Number of refinement iterations: 367059612\n", - " Random number seed: 0\n", - " Number of separators: 32767\n", - " Compress graph prior to ordering: No\n", - " Detect & order connected components separately: No\n", - " Prunning factor for high degree vertices: 54009036.000000\n", - " Allowed maximum load imbalance: 1.515 \n", - "\n", - "Input Error: Incorrect objective type.\n", - " nbrpool statistics\n", - " nbrpoolsize: 0 nbrpoolcpos: 0\n", - " nbrpoolreallocs: 0\n", - "\n", - "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[Factorize Success.]***\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 4.242461e-02 \n", - "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", - "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", - "\n", - "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.04242460886564457.\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", - "\n", - "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=865, (neig == m).\n", - "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", - "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.007924, Fact 0.011652, Overall 0.013481.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "dsdp_mode=\n", - "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", - "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", - "I[[DOT_SENS]]...\t[MAIN]Number of variables 865\n", - "I[[DOT_SENS]]...\t[MAIN]Number of constraints 865\n", - "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1730\n", - "\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", - "\n", - "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", - "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", - "I[[DOT_SENS]]...\t[MAIN]Timing..0.007993 sec.\n", - "[[5.0, 0.6832750353394478, 0.42943599121105774, 0.2698933785431825, 0.1696199791728075, 0.10659893078129046, 0.06699152119443698, 0.04209960855357131, 0.026456207096238946, 0.0, 1.4352505712331582, 1.523001064451413, 1.5126471751759896, 1.447541769219542, 1.354205549113907, 1.2486557820351374, 1.1403764385473907, 1.0348065168209184, 0.0, 2.8814743934273936, 3.047562944337529, 3.2174594462808273, 3.38283825160765, 3.539195520104802, 3.684352696770426, 3.817523952899038, 3.938737276082843]]\n", - "[[5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118]]\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 368.0005567983665\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 15.047135137500822\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 0.0000000e+00 1.65e+01 9.45e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.41e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.60e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5974421785358572e-10 1.5974421785358572e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5974421785358572e-10 1.5974421785358572e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: \n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3347\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 637\n", - "\n", - "Total number of variables............................: 865\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 865\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 3.00e-02 1.06e-01 -1.0 3.00e+00 - 9.83e-01 9.90e-01h 1\n", - " 2 0.0000000e+00 2.97e-04 3.30e-02 -1.0 3.00e-02 - 1.00e+00 9.90e-01h 1\n", - " 3 0.0000000e+00 8.69e-11 1.04e-05 -2.5 2.97e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 8.6894824669059290e-11 8.6894824669059290e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 8.6894824669059290e-11 8.6894824669059290e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", - "Pass the option square_override for the desired behaviour\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", - "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", - "W[K_AUG]...\t[MA57_DRIVER]\n", - "\n", - "\t\tCould not fix the accuracy of the problem.\n", - "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", - "\t\tWarning: results might be incorrect.\n", - "\t\tCurrent residual ratio 0.0424246; Max residual ratio 1e-10.\n", - "\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 865\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 865\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 865, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3347\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 637\n", - "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", - "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", - "I[MA57]...\t[]***\n", - " Runtime parameters:\n", - " Objective type: METIS_OBJTYPE_CUT\n", - " Coarsening type: Unknown!\n", - " Initial partitioning type: Unknown!\n", - " Refinement type: Unknown!\n", - " Perform a 2-hop matching: No\n", - " Number of balancing constraints: 1\n", - " Number of refinement iterations: 279691932\n", - " Random number seed: 0\n", - " Number of separators: 32767\n", - " Compress graph prior to ordering: No\n", - " Detect & order connected components separately: No\n", - " Prunning factor for high degree vertices: 54009036.000000\n", - " Allowed maximum load imbalance: 1.515 \n", - "\n", - "Input Error: Incorrect objective type.\n", - " nbrpool statistics\n", - " nbrpoolsize: 0 nbrpoolcpos: 0\n", - " nbrpoolreallocs: 0\n", - "\n", - "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[Factorize Success.]***\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 4.242461e-02 \n", - "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", - "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", - "\n", - "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.04242460886564457.\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", - "\n", - "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=865, (neig == m).\n", - "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", - "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.007378, Fact 0.010826, Overall 0.012592.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "dsdp_mode=\n", - "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", - "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", - "I[[DOT_SENS]]...\t[MAIN]Number of variables 865\n", - "I[[DOT_SENS]]...\t[MAIN]Number of constraints 865\n", - "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1730\n", - "\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", - "\n", - "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", - "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", - "I[[DOT_SENS]]...\t[MAIN]Timing..0.008005 sec.\n", - "[[5.0, 0.6832750353394478, 0.42943599121105774, 0.2698933785431825, 0.1696199791728075, 0.10659893078129046, 0.06699152119443698, 0.04209960855357131, 0.026456207096238946, 0.0, 1.4352505712331582, 1.523001064451413, 1.5126471751759896, 1.447541769219542, 1.354205549113907, 1.2486557820351374, 1.1403764385473907, 1.0348065168209184, 0.0, 2.8814743934273936, 3.047562944337529, 3.2174594462808273, 3.38283825160765, 3.539195520104802, 3.684352696770426, 3.817523952899038, 3.938737276082843], [5.0, 0.6698162507471999, 0.4190505080890977, 0.2621664197214325, 0.16401658106306446, 0.10261206943355114, 0.06419617288197853, 0.04016241593643193, 0.025126414573272388, 0.0, 1.4491890996795045, 1.5341343823135045, 1.5216981959749127, 1.455191365788697, 1.360993915556104, 1.254968438976971, 1.1464646170285762, 1.0408175245010183, 0.0, 2.8809946495732954, 3.0468151095973974, 3.216135384303654, 3.380792053148238, 3.536394015010345, 3.6808353881410505, 3.813372967034992, 3.93405606092571]]\n", - "[[5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118]]\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.699261707746163\n", - "E2_pert : 15.047135137500822\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 0.0000000e+00 1.65e+01 9.45e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.41e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.60e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5974421785358572e-10 1.5974421785358572e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5974421785358572e-10 1.5974421785358572e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: \n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3347\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 637\n", - "\n", - "Total number of variables............................: 865\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 865\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 3.00e-02 1.06e-01 -1.0 3.00e+00 - 9.83e-01 9.90e-01h 1\n", - " 2 0.0000000e+00 2.97e-04 3.30e-02 -1.0 3.00e-02 - 1.00e+00 9.90e-01h 1\n", - " 3 0.0000000e+00 8.69e-11 1.04e-05 -2.5 2.97e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 8.6894824669059290e-11 8.6894824669059290e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 8.6894824669059290e-11 8.6894824669059290e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", - "Pass the option square_override for the desired behaviour\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", - "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", - "W[K_AUG]...\t[MA57_DRIVER]\n", - "\n", - "\t\tCould not fix the accuracy of the problem.\n", - "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", - "\t\tWarning: results might be incorrect.\n", - "\t\tCurrent residual ratio 0.0424246; Max residual ratio 1e-10.\n", - "\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 865\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 865\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 865, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3347\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 637\n", - "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", - "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", - "I[MA57]...\t[]***\n", - " Runtime parameters:\n", - " Objective type: METIS_OBJTYPE_CUT\n", - " Coarsening type: Unknown!\n", - " Initial partitioning type: Unknown!\n", - " Refinement type: Unknown!\n", - " Perform a 2-hop matching: No\n", - " Number of balancing constraints: 1\n", - " Number of refinement iterations: 225989276\n", - " Random number seed: 0\n", - " Number of separators: 32767\n", - " Compress graph prior to ordering: No\n", - " Detect & order connected components separately: No\n", - " Prunning factor for high degree vertices: 54009036.000000\n", - " Allowed maximum load imbalance: 1.515 \n", - "\n", - "Input Error: Incorrect objective type.\n", - " nbrpool statistics\n", - " nbrpoolsize: 0 nbrpoolcpos: 0\n", - " nbrpoolreallocs: 0\n", - "\n", - "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[Factorize Success.]***\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 4.242461e-02 \n", - "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", - "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", - "\n", - "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.04242460886564457.\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", - "\n", - "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=865, (neig == m).\n", - "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", - "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.007178, Fact 0.010947, Overall 0.012719.\n", - "dsdp_mode=\n", - "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", - "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", - "I[[DOT_SENS]]...\t[MAIN]Number of variables 865\n", - "I[[DOT_SENS]]...\t[MAIN]Number of constraints 865\n", - "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1730\n", - "\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", - "\n", - "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", - "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", - "I[[DOT_SENS]]...\t[MAIN]Timing..0.00745 sec.\n", - "[[5.0, 0.6832750353394478, 0.42943599121105774, 0.2698933785431825, 0.1696199791728075, 0.10659893078129046, 0.06699152119443698, 0.04209960855357131, 0.026456207096238946, 0.0, 1.4352505712331582, 1.523001064451413, 1.5126471751759896, 1.447541769219542, 1.354205549113907, 1.2486557820351374, 1.1403764385473907, 1.0348065168209184, 0.0, 2.8814743934273936, 3.047562944337529, 3.2174594462808273, 3.38283825160765, 3.539195520104802, 3.684352696770426, 3.817523952899038, 3.938737276082843], [5.0, 0.6698162507471999, 0.4190505080890977, 0.2621664197214325, 0.16401658106306446, 0.10261206943355114, 0.06419617288197853, 0.04016241593643193, 0.025126414573272388, 0.0, 1.4491890996795045, 1.5341343823135045, 1.5216981959749127, 1.455191365788697, 1.360993915556104, 1.254968438976971, 1.1464646170285762, 1.0408175245010183, 0.0, 2.8809946495732954, 3.0468151095973974, 3.216135384303654, 3.380792053148238, 3.536394015010345, 3.6808353881410505, 3.813372967034992, 3.93405606092571], [5.0, 0.6476040701277532, 0.3990262628897322, 0.24580513799625078, 0.15138218743814819, 0.09320722224320173, 0.05737355811237, 0.035306748054641346, 0.021721182621793508, 0.0, 1.4358882762009282, 1.518572499021414, 1.502703632157189, 1.4331187182580927, 1.3367280149534337, 1.2294601851156572, 1.1205402238024214, 1.015121670041656, 0.0, 2.9165076536713186, 3.082401238088854, 3.2514912298465597, 3.4154990943037586, 3.5700647628033644, 3.7131662567719728, 3.8441530281429372, 3.963157147336551]]\n", - "[[5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118]]\n", - "perturb names are: ['A1_pert', 'A2_pert', 'E1_pert', 'E2_pert']\n", - "Perturbation parameters are set:\n", - "A1_pert : 84.79085853498033\n", - "A2_pert : 371.71773413976416\n", - "E1_pert : 7.777032028026428\n", - "E2_pert : 14.896663786125814\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 2 0.0000000e+00 1.65e+01 9.45e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.41e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.60e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5974421785358572e-10 1.5974421785358572e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5974421785358572e-10 1.5974421785358572e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.006\n", - "Total CPU secs in NLP function evaluations = 0.001\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: \n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 3347\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 637\n", - "\n", - "Total number of variables............................: 865\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 865\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 3.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 3.00e-02 1.06e-01 -1.0 3.00e+00 - 9.83e-01 9.90e-01h 1\n", - " 2 0.0000000e+00 2.97e-04 3.30e-02 -1.0 3.00e-02 - 1.00e+00 9.90e-01h 1\n", - " 3 0.0000000e+00 8.69e-11 1.04e-05 -2.5 2.97e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 8.6894824669059290e-11 8.6894824669059290e-11\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 8.6894824669059290e-11 8.6894824669059290e-11\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", - "Pass the option square_override for the desired behaviour\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", - "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", - "W[K_AUG]...\t[MA57_DRIVER]\n", - "\n", - "\t\tCould not fix the accuracy of the problem.\n", - "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", - "\t\tWarning: results might be incorrect.\n", - "\t\tCurrent residual ratio 0.0424246; Max residual ratio 1e-10.\n", - "\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 865\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 865\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 865, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3347\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 637\n", - "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", - "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", - "I[MA57]...\t[]***\n", - " Runtime parameters:\n", - " Objective type: METIS_OBJTYPE_CUT\n", - " Coarsening type: Unknown!\n", - " Initial partitioning type: Unknown!\n", - " Refinement type: Unknown!\n", - " Perform a 2-hop matching: No\n", - " Number of balancing constraints: 1\n", - " Number of refinement iterations: 284648092\n", - " Random number seed: 0\n", - " Number of separators: 32767\n", - " Compress graph prior to ordering: No\n", - " Detect & order connected components separately: No\n", - " Prunning factor for high degree vertices: 54009036.000000\n", - " Allowed maximum load imbalance: 1.515 \n", - "\n", - "Input Error: Incorrect objective type.\n", - " nbrpool statistics\n", - " nbrpoolsize: 0 nbrpoolcpos: 0\n", - " nbrpoolreallocs: 0\n", - "\n", - "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[Factorize Success.]***\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 4.242461e-02 \n", - "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", - "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", - "\n", - "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 865\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.04242460886564457.\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", - "\n", - "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=865, (neig == m).\n", - "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", - "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.007635, Fact 0.011473, Overall 0.013805.\n", - "dsdp_mode=\n", - "E[[DOT_SENS]]...\t[MAIN]No \"f_timestamp\" suffix declared. Fallback to default filename.\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN] dsdp_in_.in\n", - "I[[DOT_SENS]]...\t[MAIN]File read succesful.\n", - "I[[DOT_SENS]]...\t[MAIN]Number of variables 865\n", - "I[[DOT_SENS]]...\t[MAIN]Number of constraints 865\n", - "I[[DOT_SENS]]...\t[MAIN]Number of rows (primal-dual) 1730\n", - "\n", - "\n", - "I[[DOT_SENS]]...\t[MAIN]dsdp_mode_active\n", - "\n", - "I[[DOT_SENS]]...\t[DSDP_STRATEGY]Number of parameters detected 4\n", - "I[[DOT_SENS]]...\t[MAIN]bye!.\tDone.\n", - "I[[DOT_SENS]]...\t[MAIN]Timing..0.009184 sec.\n", - "[[5.0, 0.6832750353394478, 0.42943599121105774, 0.2698933785431825, 0.1696199791728075, 0.10659893078129046, 0.06699152119443698, 0.04209960855357131, 0.026456207096238946, 0.0, 1.4352505712331582, 1.523001064451413, 1.5126471751759896, 1.447541769219542, 1.354205549113907, 1.2486557820351374, 1.1403764385473907, 1.0348065168209184, 0.0, 2.8814743934273936, 3.047562944337529, 3.2174594462808273, 3.38283825160765, 3.539195520104802, 3.684352696770426, 3.817523952899038, 3.938737276082843], [5.0, 0.6698162507471999, 0.4190505080890977, 0.2621664197214325, 0.16401658106306446, 0.10261206943355114, 0.06419617288197853, 0.04016241593643193, 0.025126414573272388, 0.0, 1.4491890996795045, 1.5341343823135045, 1.5216981959749127, 1.455191365788697, 1.360993915556104, 1.254968438976971, 1.1464646170285762, 1.0408175245010183, 0.0, 2.8809946495732954, 3.0468151095973974, 3.216135384303654, 3.380792053148238, 3.536394015010345, 3.6808353881410505, 3.813372967034992, 3.93405606092571], [5.0, 0.6476040701277532, 0.3990262628897322, 0.24580513799625078, 0.15138218743814819, 0.09320722224320173, 0.05737355811237, 0.035306748054641346, 0.021721182621793508, 0.0, 1.4358882762009282, 1.518572499021414, 1.502703632157189, 1.4331187182580927, 1.3367280149534337, 1.2294601851156572, 1.1205402238024214, 1.015121670041656, 0.0, 2.9165076536713186, 3.082401238088854, 3.2514912298465597, 3.4154990943037586, 3.5700647628033644, 3.7131662567719728, 3.8441530281429372, 3.963157147336551], [5.0, 0.6698162507471997, 0.4190505080890971, 0.2621664197214327, 0.16401658106306558, 0.10261206943355108, 0.06419617288179548, 0.0401624159363152, 0.025126414573196105, 0.0, 1.3916629949991055, 1.4716287077844512, 1.4545107604800949, 1.3841341318200104, 1.287085934152803, 1.1792609555949867, 1.0699465097479768, 0.9643689489432059, 0.0, 2.9385207542536946, 3.1093207841264516, 3.283322819798472, 3.4518492871169237, 3.610301996413646, 3.756542871523218, 3.889891074315708, 4.010504636483598]]\n", - "[[5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118], [5.0, 0.66981625074724, 0.41905050808892147, 0.26216641972135174, 0.16401658106312905, 0.10261206943372332, 0.06419617288217103, 0.04016241593664983, 0.025126414573483764, 0.0, 1.4354385888835086, 1.5202634778223245, 1.5076872447610168, 1.4411003667652071, 1.346918165879149, 1.2410130474142078, 1.1327305054389916, 1.0273943423989047, 0.0, 2.894745160369251, 3.0606860140887537, 3.230146335517631, 3.3948830521716635, 3.5504697646871275, 3.6947907797036215, 3.827107078624359, 3.9474792430276118]]\n", - "Existed information has been added.\n", - "FIM: [[ 46.34447331 24.15943185 -111.81903475 -100.64889225]\n", - " [ 24.15943185 57.16992771 -42.45030445 -263.97094908]\n", - " [-111.81903475 -42.45030445 292.50019102 182.04332038]\n", - " [-100.64889225 -263.97094908 182.04332038 1280.49146535]]\n", - "Trace: 1676.506057391646\n", - "Determinant: 1632826.5079117715\n", - "Condition number: 1341.5228794343586\n", - "Minimal eigen value: 1.0276174138631713\n", - "Eigen values: [1.37857227e+03 2.92972000e+02 1.02761741e+00 3.93416828e+00]\n", - "Eigen vectors: [[ 0.09102761 -0.33462428 -0.68013724 0.64587453]\n", - " [ 0.19903457 0.02167093 0.68301722 0.70242657]\n", - " [-0.17796078 0.92103917 -0.237115 0.25257331]\n", - " [-0.95939 -0.1981005 0.12114985 0.16015535]]\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -1187,23 +293,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "64fc6da4", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "======Result summary======\n", - "Four design criteria log10() value:\n", - "A-optimality: 3.2244051269190375\n", - "D-optimality: 6.212940042263111\n", - "E-optimality: 0.011831455151144811\n", - "Modified E-optimality: 3.1275980838863466\n" - ] - } - ], + "outputs": [], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", @@ -1225,23 +318,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "5273a9af", "metadata": {}, - "outputs": [ - { - "ename": "AssertionError", - "evalue": "T should have the same length as t_set", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_60471/2196474940.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mexp1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgenerate_exp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_control\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m300\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mexp2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgenerate_exp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_control\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m500.92\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mexp3\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgenerate_exp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_control\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m528\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mexp4\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgenerate_exp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_control\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m546.8\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mexp5\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgenerate_exp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_control\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m562\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_60471/1113673435.py\u001b[0m in \u001b[0;36mgenerate_exp\u001b[0;34m(t_set, CA0, T)\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mT\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mA\u001b[0m \u001b[0mlist\u001b[0m \u001b[0mof\u001b[0m \u001b[0mT\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m '''\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0;32massert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt_set\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mT\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'T should have the same length as t_set'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0mT_con_initial\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mAssertionError\u001b[0m: T should have the same length as t_set" - ] - } - ], + "outputs": [], "source": [ "# this only works for constant T mode. \n", "exp1 = generate_exp(t_control, 5, [300])\n", @@ -1301,204 +381,12 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "wicked-raising", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 24144\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 1922\n", - "\n", - "Total number of variables............................: 6406\n", - " variables with only lower bounds: 2316\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6406\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 7.66e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (280897)\n", - " 1 -3.2041801e+01 1.67e+05 4.32e+05 -1.0 7.66e+02 - 2.58e-03 9.90e-01f 1\n", - " 2 -2.7360130e+01 4.20e+04 4.64e+06 -1.0 8.33e+02 - 1.18e-01 9.90e-01h 1\n", - "Reallocating memory for MA57: lfact (295137)\n", - " 3 -2.3885416e+01 1.03e+04 3.43e+05 -1.0 3.73e+02 - 8.08e-01 1.00e+00h 1\n", - " 4 -2.1104897e+01 2.46e+03 6.88e+03 -1.0 6.89e+01 - 9.91e-01 1.00e+00h 1\n", - " 5 -1.8483523e+01 5.99e+02 1.72e+03 -1.0 2.42e+01 - 1.00e+00 1.00e+00h 1\n", - " 6 -1.6236695e+01 1.37e+02 4.28e+02 -1.0 1.16e+01 - 1.00e+00 1.00e+00h 1\n", - " 7 -1.4826359e+01 2.53e+01 9.99e+01 -1.0 5.03e+00 - 1.00e+00 1.00e+00h 1\n", - " 8 -1.4356896e+01 2.32e+00 1.47e+01 -1.0 1.52e+00 - 1.00e+00 1.00e+00h 1\n", - " 9 -1.4306446e+01 2.85e-02 3.48e-01 -1.0 1.69e-01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.4305829e+01 4.40e-06 1.03e-04 -2.5 2.10e-03 - 1.00e+00 1.00e+00h 1\n", - " 11 -1.4305829e+01 2.64e-13 1.50e-09 -3.8 3.23e-07 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 11\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -1.4305829050578563e+01 -1.4305829050578563e+01\n", - "Dual infeasibility......: 8.8910717677137541e-10 8.8910717677137541e-10\n", - "Constraint violation....: 2.2737367544323206e-13 2.6356694604601216e-13\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.2737367544323206e-13 8.8910717677137541e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 12\n", - "Number of objective gradient evaluations = 12\n", - "Number of equality constraint evaluations = 12\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 12\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 11\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.093\n", - "Total CPU secs in NLP function evaluations = 0.012\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "FIM: [[ 46.3444914 24.15944315 -111.81903818 -100.64870734]\n", - " [ 24.15944315 57.16995403 -42.45028808 -263.97068195]\n", - " [-111.81903818 -42.45028808 292.50015605 182.04287127]\n", - " [-100.64870734 -263.97068195 182.04287127 1280.48874223]]\n", - "Trace: 1676.5033437052477\n", - "Determinant: 1632836.1834134806\n", - "Condition number: 1341.51840758619\n", - "Minimal eigen value: 1.0276187561345163\n", - "Eigen values: [1.37856948e+03 2.92972054e+02 1.02761876e+00 3.93419370e+00]\n", - "Eigen vectors: [[ 0.09102767 -0.33462434 -0.68013822 0.64587346]\n", - " [ 0.19903479 0.02167086 0.68301615 0.70242755]\n", - " [-0.17796084 0.92103913 -0.23711535 0.2525731 ]\n", - " [-0.95938994 -0.19810059 0.12114973 0.16015569]]\n", - "Model objective: 14.305829050578563\n", - "Objective(determinant) is: 1632836.1834134837\n", - "Solution of CA0 : [5]\n", - "Solution of T : [570.21, 300, 300, 300, 300, 300, 300, 300, 300]\n", - "======problem solver output======\n", - "converged\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 25152\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 1931\n", - "\n", - "Reallocating memory for MA57: lfact (321469)\n", - "Reallocating memory for MA57: lfact (338851)\n", - "Total number of variables............................: 6416\n", - " variables with only lower bounds: 2316\n", - " variables with lower and upper bounds: 98\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6406\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.4305829e+01 1.18e-01 1.48e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.4321447e+01 1.01e-01 7.69e+00 -1.0 6.36e+01 - 9.47e-01 1.41e-01h 1\n", - " 2 -1.4220000e+01 2.40e+01 5.69e+01 -1.0 2.21e+02 - 6.97e-01 1.00e+00f 1\n", - " 3 -1.3719762e+01 3.21e+01 5.63e+01 -1.0 2.90e+02 - 1.00e+00 9.42e-01f 1\n", - " 4 -1.3377054e+01 2.55e+01 3.32e+01 -1.0 1.53e+02 - 1.00e+00 1.00e+00f 1\n", - " 5 -1.3370445e+01 3.77e-01 2.69e+00 -1.0 1.26e+01 - 1.00e+00 1.00e+00h 1\n", - " 6 -1.3365800e+01 3.01e-03 2.27e-02 -1.0 1.07e+00 - 1.00e+00 1.00e+00h 1\n", - " 7 -1.3372676e+01 5.35e-03 1.57e-01 -2.5 5.51e+00 - 1.00e+00 1.00e+00h 1\n", - " 8 -1.3980505e+01 1.57e+01 9.78e+01 -2.5 1.30e+02 - 1.00e+00 1.00e+00F 1\n", - " 9 -1.3842490e+01 4.80e+00 7.55e+00 -2.5 5.46e+01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.3756903e+01 1.10e+00 2.63e+00 -2.5 2.89e+01 - 1.00e+00 1.00e+00h 1\n", - " 11 -1.3759844e+01 7.51e-03 1.39e-02 -2.5 3.89e+00 - 1.00e+00 1.00e+00h 1\n", - " 12 -1.4175513e+01 1.85e+01 3.95e+01 -3.8 8.85e+01 - 5.60e-01 1.00e+00f 1\n", - " 13 -1.4300654e+01 1.23e+01 1.03e+01 -3.8 1.88e+02 - 1.00e+00 1.00e+00h 1\n", - " 14 -1.4303100e+01 2.71e+00 1.02e+00 -3.8 6.83e+01 - 1.00e+00 1.00e+00h 1\n", - " 15 -1.4293066e+01 1.70e-02 2.17e-02 -3.8 3.13e+00 - 1.00e+00 1.00e+00h 1\n", - " 16 -1.4293051e+01 1.70e-07 2.55e-07 -3.8 3.60e-02 - 1.00e+00 1.00e+00h 1\n", - " 17 -1.4310193e+01 1.00e+00 4.13e-01 -5.7 4.55e+01 - 9.17e-01 1.00e+00f 1\n", - " 18 -1.4308345e+01 8.84e-03 4.07e-03 -5.7 4.40e+00 - 1.00e+00 1.00e+00h 1\n", - " 19 -1.4308378e+01 1.74e-05 9.73e-07 -5.7 3.79e-01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.4308538e+01 2.20e-04 8.75e-05 -8.6 6.45e-01 - 1.00e+00 1.00e+00h 1\n", - " 21 -1.4308537e+01 5.67e-10 2.16e-07 -8.6 2.16e-03 -4.0 1.00e+00 1.00e+00h 1\n", - " 22 -1.4308537e+01 2.26e-10 1.02e-10 -8.6 6.52e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 22\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -1.4308537311814217e+01 -1.4308537311814217e+01\n", - "Dual infeasibility......: 1.0159980836483156e-10 1.0159980836483156e-10\n", - "Constraint violation....: 1.1933933525979343e-10 2.2635049390373752e-10\n", - "Complementarity.........: 2.5059036092815866e-09 2.5059036092815866e-09\n", - "Overall NLP error.......: 2.5059036092815866e-09 2.5059036092815866e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 24\n", - "Number of objective gradient evaluations = 23\n", - "Number of equality constraint evaluations = 24\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 23\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 22\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.207\n", - "Total CPU secs in NLP function evaluations = 0.027\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "FIM: [[ 46.24824873 24.02029597 -111.11259575 -98.84096347]\n", - " [ 24.02029597 56.00750616 -41.77758393 -257.36193473]\n", - " [-111.11259575 -41.77758393 290.34323271 177.30691662]\n", - " [ -98.84096347 -257.36193473 177.30691662 1245.84730921]]\n", - "Trace: 1638.4462968124803\n", - "Determinant: 1637264.3239264484\n", - "Condition number: 1318.2046058189794\n", - "Minimal eigen value: 1.018082460753852\n", - "Eigen values: [1.34204099e+03 2.91273175e+02 1.01808246e+00 4.11405006e+00]\n", - "Eigen vectors: [[ 0.09222082 -0.33473764 -0.67734443 0.64857579]\n", - " [ 0.19945077 0.02109713 0.6862249 0.69919216]\n", - " [-0.1793339 0.9206072 -0.23558824 0.25459757]\n", - " [-0.95893382 -0.19997003 0.12164738 0.16018689]]\n", - "Model objective: 14.308537311814217\n", - "Objective(determinant) is: 1637264.3239272628\n", - "Solution of CA0 : [5.0]\n", - "Solution of T : [579.2123483692055, 300.00000829024395, 300.00001529530726, 300.00002224158675, 300.0000306452559, 300.0000437403924, 300.0000694587363, 300.00014505287686, 300.00044564425997]\n", - "======problem solver output======\n", - "converged\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -1509,25 +397,10 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "c6b08c05", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "======Result summary======\n", - "This optimization is solved with status: converged\n", - "It gives solution: {'CA0': [5.0], 'T': [579.2123483692055, 300.00000829024395, 300.00001529530726, 300.00002224158675, 300.0000306452559, 300.0000437403924, 300.0000694587363, 300.00014505287686, 300.00044564425997]}\n", - "The log10(OF) optimized is: 14.308537311814217\n", - "The result FIM is: [[ 46.24824873 24.02029597 -111.11259575 -98.84096347]\n", - " [ 24.02029597 56.00750616 -41.77758393 -257.36193473]\n", - " [-111.11259575 -41.77758393 290.34323271 177.30691662]\n", - " [ -98.84096347 -257.36193473 177.30691662 1245.84730921]]\n" - ] - } - ], + "outputs": [], "source": [ "print('======Result summary======')\n", "print('This optimization is solved with status:', optimize_result.status)\n", @@ -1546,7 +419,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "427c7dc8", "metadata": {}, "outputs": [], @@ -1566,539 +439,12 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "dcfae212", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "25 design vectors will be searched.\n", - "=======This is the 1 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", - " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", - " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", - " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", - "Trace: 1099.5362969973296\n", - "Determinant: 151638.49432111066\n", - "Condition number: 1703.570882096611\n", - "Minimal eigen value: 0.48581739042098304\n", - "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", - "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", - " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", - " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", - " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", - "This is the 1 run out of 25 run.\n", - "The code has run 1.1208 seconds.\n", - "Estimated remaining time: 26.8987 seconds\n", - "=======This is the 2 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.13959316 5.68057604 -82.81396637 -25.2366608 ]\n", - " [ 5.68057604 27.27296764 -13.04504069 -143.14725329]\n", - " [ -82.81396637 -13.04504069 242.98173468 61.60044794]\n", - " [ -25.2366608 -143.14725329 61.60044794 784.93406 ]]\n", - "Trace: 1084.3283554734471\n", - "Determinant: 152039.07825006053\n", - "Condition number: 1641.205191246031\n", - "Minimal eigen value: 0.499335727810474\n", - "Eigen values: [8.19512389e+02 2.62903408e+02 4.99335728e-01 1.41322349e+00]\n", - "Eigen vectors: [[ 0.04447521 -0.31931057 -0.77803254 0.53919206]\n", - " [ 0.17859423 0.01458837 0.56323502 0.80663349]\n", - " [-0.11473313 0.93961044 -0.26036328 0.19020907]\n", - " [-0.97619791 -0.12231173 0.09819695 0.14978263]]\n", - "This is the 2 run out of 25 run.\n", - "The code has run 2.4131 seconds.\n", - "Estimated remaining time: 27.7506 seconds\n", - "=======This is the 3 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.92490828 5.55538372 -82.19690665 -24.54095095]\n", - " [ 5.55538372 26.74178551 -12.68546548 -140.44317569]\n", - " [ -82.19690665 -12.68546548 241.3235927 59.73172415]\n", - " [ -24.54095095 -140.44317569 59.73172415 771.61101463]]\n", - "Trace: 1068.601301120078\n", - "Determinant: 151629.20410746612\n", - "Condition number: 1602.4379558666174\n", - "Minimal eigen value: 0.5025670283249084\n", - "Eigen values: [8.05332482e+02 2.61332679e+02 5.02567028e-01 1.43357337e+00]\n", - "Eigen vectors: [[ 0.04419056 -0.31920854 -0.77605387 0.54211945]\n", - " [ 0.17828909 0.01431314 0.56629712 0.80455932]\n", - " [-0.11385326 0.93976516 -0.25949412 0.19115878]\n", - " [-0.97636962 -0.12141862 0.09854321 0.14916141]]\n", - "This is the 3 run out of 25 run.\n", - "The code has run 3.8888 seconds.\n", - "Estimated remaining time: 28.5179 seconds\n", - "=======This is the 4 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.83024839 5.51197609 -81.9726446 -24.32382628]\n", - " [ 5.51197609 26.57520042 -12.57324566 -139.74017115]\n", - " [ -81.9726446 -12.57324566 240.83051064 59.23199143]\n", - " [ -24.32382628 -139.74017115 59.23199143 768.76471335]]\n", - "Trace: 1065.0006727947682\n", - "Determinant: 149413.08867241812\n", - "Condition number: 1612.3033965117402\n", - "Minimal eigen value: 0.4975647310738729\n", - "Eigen values: [8.02225306e+02 2.60842763e+02 4.97564731e-01 1.43503967e+00]\n", - "Eigen vectors: [[ 0.04400313 -0.31904919 -0.77362392 0.54568981]\n", - " [ 0.17807049 0.01421057 0.56997784 0.80200637]\n", - " [-0.11343891 0.93987811 -0.25847425 0.19222854]\n", - " [-0.9764662 -0.12097442 0.09910778 0.14851464]]\n", - "This is the 4 run out of 25 run.\n", - "The code has run 5.2667 seconds.\n", - "Estimated remaining time: 27.6504 seconds\n", - "=======This is the 5 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.77447266 5.4733019 -81.86441559 -24.18097488]\n", - " [ 5.4733019 26.4829594 -12.4994136 -139.4302313 ]\n", - " [ -81.86441559 -12.4994136 240.63335596 58.97428567]\n", - " [ -24.18097488 -139.4302313 58.97428567 767.74785482]]\n", - "Trace: 1063.6386428489946\n", - "Determinant: 146507.48664099385\n", - "Condition number: 1624.9104493572825\n", - "Minimal eigen value: 0.4929923644281462\n", - "Eigen values: [8.01068444e+02 2.60653941e+02 4.92992364e-01 1.42326479e+00]\n", - "Eigen vectors: [[ 0.04382893 -0.31893711 -0.7717461 0.54842146]\n", - " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", - " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", - " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", - "This is the 5 run out of 25 run.\n", - "The code has run 6.6255 seconds.\n", - "Estimated remaining time: 26.5021 seconds\n", - "=======This is the 6 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.28334671 5.70699409 -92.97484844 -25.80031677]\n", - " [ 5.70699409 29.30507497 -13.33636445 -156.70839321]\n", - " [ -92.97484844 -13.33636445 275.50168257 64.30324325]\n", - " [ -25.80031677 -156.70839321 64.30324325 872.63443311]]\n", - "Trace: 1209.7245373586702\n", - "Determinant: 188680.91170751274\n", - "Condition number: 1858.6163208362157\n", - "Minimal eigen value: 0.48913747009787456\n", - "Eigen values: [9.09118885e+02 2.98695996e+02 4.89137470e-01 1.42051869e+00]\n", - "Eigen vectors: [[ 0.04146304 -0.31695699 -0.77712411 0.54212287]\n", - " [ 0.17602088 0.01408456 0.56560106 0.80555181]\n", - " [-0.10898703 0.94123169 -0.25813549 0.18860223]\n", - " [-0.97745552 -0.1158568 0.09767104 0.14703155]]\n", - "This is the 6 run out of 25 run.\n", - "The code has run 7.6748 seconds.\n", - "Estimated remaining time: 24.3034 seconds\n", - "=======This is the 7 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.52158843 6.484812 -86.0456274 -28.87532345]\n", - " [ 6.484812 29.86381946 -14.92566842 -154.8692371 ]\n", - " [ -86.0456274 -14.92566842 250.53865848 70.10910743]\n", - " [ -28.87532345 -154.8692371 70.10910743 837.96870421]]\n", - "Trace: 1148.8927705828396\n", - "Determinant: 190348.66732527447\n", - "Condition number: 1618.3103657337692\n", - "Minimal eigen value: 0.5417343666585888\n", - "Eigen values: [8.76694341e+02 2.70173245e+02 5.41734367e-01 1.48344999e+00]\n", - "Eigen vectors: [[ 0.04685373 -0.32103947 -0.78212185 0.53199981]\n", - " [ 0.18079203 0.01551727 0.55613272 0.81104245]\n", - " [-0.11992293 0.93825512 -0.26345825 0.18943485]\n", - " [-0.97505767 -0.12794607 0.09793648 0.15264595]]\n", - "This is the 7 run out of 25 run.\n", - "The code has run 8.9048 seconds.\n", - "Estimated remaining time: 22.8981 seconds\n", - "=======This is the 8 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 29.66284896 5.98404272 -83.57738856 -26.09248409]\n", - " [ 5.98404272 27.73909098 -13.48736761 -144.05292682]\n", - " [ -83.57738856 -13.48736761 243.90609069 62.63421243]\n", - " [ -26.09248409 -144.05292682 62.63421243 784.67652324]]\n", - "Trace: 1085.9845538701272\n", - "Determinant: 188639.46155960692\n", - "Condition number: 1474.5971887933822\n", - "Minimal eigen value: 0.556052063178459\n", - "Eigen values: [8.19952809e+02 2.63907946e+02 5.56052063e-01 1.56774623e+00]\n", - "Eigen vectors: [[ 0.04594253 -0.320668 -0.77534136 0.54213199]\n", - " [ 0.17974722 0.01448798 0.56676229 0.80390394]\n", - " [-0.11695823 0.93879944 -0.26038706 0.19280809]\n", - " [-0.97565414 -0.12497097 0.09912039 0.15052047]]\n", - "This is the 8 run out of 25 run.\n", - "The code has run 10.2423 seconds.\n", - "Estimated remaining time: 21.7649 seconds\n", - "=======This is the 9 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.28420904 5.81041182 -82.68033992 -25.22398467]\n", - " [ 5.81041182 27.07275023 -13.03848785 -141.2409079 ]\n", - " [ -82.68033992 -13.03848785 241.93376191 60.6352807 ]\n", - " [ -25.22398467 -141.2409079 60.6352807 773.29131701]]\n", - "Trace: 1071.5820381828053\n", - "Determinant: 178758.14784708264\n", - "Condition number: 1505.8326261414443\n", - "Minimal eigen value: 0.5362591360631045\n", - "Eigen values: [8.07516503e+02 2.61953423e+02 5.36259136e-01 1.57585283e+00]\n", - "Eigen vectors: [[ 0.0452283 -0.32004858 -0.76665675 0.55476187]\n", - " [ 0.17890164 0.01407456 0.5797799 0.79476498]\n", - " [-0.11537487 0.93924098 -0.25666068 0.19657139]\n", - " [-0.97603137 -0.12327688 0.10108403 0.14814718]]\n", - "This is the 9 run out of 25 run.\n", - "The code has run 11.6368 seconds.\n", - "Estimated remaining time: 20.6877 seconds\n", - "=======This is the 10 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.06110646 5.65571543 -82.2474243 -24.65257982]\n", - " [ 5.65571543 26.70378654 -12.7431601 -140.00114925]\n", - " [ -82.2474243 -12.7431601 241.14514373 59.6044585 ]\n", - " [ -24.65257982 -140.00114925 59.6044585 769.22388405]]\n", - "Trace: 1066.133920780468\n", - "Determinant: 166109.95469851143\n", - "Condition number: 1551.1500806946776\n", - "Minimal eigen value: 0.5176066461694571\n", - "Eigen values: [8.02885591e+02 2.61200453e+02 5.17606646e-01 1.53027057e+00]\n", - "Eigen vectors: [[ 0.04454043 -0.31960751 -0.75938699 0.56497663]\n", - " [ 0.1782985 0.01400273 0.59021965 0.78718126]\n", - " [-0.11415988 0.93957357 -0.25377291 0.19942001]\n", - " [-0.9763162 -0.12188714 0.10281766 0.1462147 ]]\n", - "This is the 10 run out of 25 run.\n", - "The code has run 13.1087 seconds.\n", - "Estimated remaining time: 19.6630 seconds\n", - "=======This is the 11 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.78887004 6.07511496 -107.02247647 -28.02099618]\n", - " [ 6.07511496 32.92473073 -14.48411404 -178.54397808]\n", - " [-107.02247647 -14.48411404 319.30033573 71.22701223]\n", - " [ -28.02099618 -178.54397808 71.22701223 1004.35766813]]\n", - "Trace: 1393.3716046200643\n", - "Determinant: 259404.79249449496\n", - "Condition number: 2117.7576403874828\n", - "Minimal eigen value: 0.4934329234872393\n", - "Eigen values: [1.04497134e+03 3.46454720e+02 4.93432923e-01 1.45210830e+00]\n", - "Eigen vectors: [[ 0.0394186 -0.31528763 -0.77789543 0.54214258]\n", - " [ 0.17432484 0.0139462 0.56510132 0.80627343]\n", - " [-0.10531109 0.94230095 -0.25714335 0.18669704]\n", - " [-0.9782467 -0.11166076 0.09703861 0.14542622]]\n", - "This is the 11 run out of 25 run.\n", - "The code has run 14.1588 seconds.\n", - "Estimated remaining time: 18.0203 seconds\n", - "=======This is the 12 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.82491387 7.82520522 -91.43172903 -34.93976104]\n", - " [ 7.82520522 34.18190578 -18.06004783 -174.40587661]\n", - " [ -91.43172903 -18.06004783 263.13353123 84.29020597]\n", - " [ -34.93976104 -174.40587661 84.29020597 926.3597771 ]]\n", - "Trace: 1256.5001279889048\n", - "Determinant: 263402.56815696124\n", - "Condition number: 1602.2755769575617\n", - "Minimal eigen value: 0.606692251370187\n", - "Eigen values: [9.72088177e+02 2.82222721e+02 6.06692251e-01 1.58253717e+00]\n", - "Eigen vectors: [[ 0.05009398 -0.32372401 -0.78629932 0.52385755]\n", - " [ 0.18387427 0.01689333 0.54820737 0.81570432]\n", - " [-0.12688016 0.93624622 -0.26759042 0.18904978]\n", - " [-0.97343838 -0.13550056 0.09796643 0.15639663]]\n", - "This is the 12 run out of 25 run.\n", - "The code has run 15.3542 seconds.\n", - "Estimated remaining time: 16.6337 seconds\n", - "=======This is the 13 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.89275002 6.69847435 -85.87819164 -28.67837249]\n", - " [ 6.69847435 29.40126676 -14.82387106 -150.06917866]\n", - " [ -85.87819164 -14.82387106 248.21025379 67.47169254]\n", - " [ -28.67837249 -150.06917866 67.47169254 806.45237065]]\n", - "Trace: 1114.9566412208942\n", - "Determinant: 259295.44426422898\n", - "Condition number: 1312.5340624325274\n", - "Minimal eigen value: 0.6433044740080609\n", - "Eigen values: [8.44359035e+02 2.68174244e+02 6.43304474e-01 1.78005776e+00]\n", - "Eigen vectors: [[ 0.04871693 -0.32300943 -0.77416724 0.54217769]\n", - " [ 0.18206305 0.0148089 0.56753176 0.80283339]\n", - " [-0.12183745 0.93722982 -0.26183895 0.19543866]\n", - " [-0.97449235 -0.13055984 0.10006575 0.15266182]]\n", - "This is the 13 run out of 25 run.\n", - "The code has run 16.7166 seconds.\n", - "Estimated remaining time: 15.4307 seconds\n", - "=======This is the 14 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.04081103 6.30780567 -83.85983328 -26.72425063]\n", - " [ 6.30780567 27.90200091 -13.81389272 -143.74213782]\n", - " [ -83.85983328 -13.81389272 243.77251546 62.97409839]\n", - " [ -26.72425063 -143.74213782 62.97409839 780.83565947]]\n", - "Trace: 1082.550986869459\n", - "Determinant: 233249.44653710237\n", - "Condition number: 1361.1345665037536\n", - "Minimal eigen value: 0.5997577131041496\n", - "Eigen values: [8.16350955e+02 2.63794338e+02 5.99757713e-01 1.80593621e+00]\n", - "Eigen vectors: [[ 0.04723544 -0.32167879 -0.7576378 0.5659298 ]\n", - " [ 0.18026288 0.01386971 0.5920096 0.78539006]\n", - " [-0.11853461 0.93818523 -0.25448998 0.20246697]\n", - " [-0.97530695 -0.12703884 0.10365545 0.14796293]]\n", - "This is the 14 run out of 25 run.\n", - "The code has run 18.1218 seconds.\n", - "Estimated remaining time: 14.2386 seconds\n", - "=======This is the 15 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.53882947 5.95973797 -82.88577216 -25.43858804]\n", - " [ 5.95973797 27.07183177 -13.14940425 -140.95267917]\n", - " [ -82.88577216 -13.14940425 241.99812335 60.65474656]\n", - " [ -25.43858804 -140.95267917 60.65474656 771.68393275]]\n", - "Trace: 1070.2927173372873\n", - "Determinant: 200944.16832372188\n", - "Condition number: 1447.570684323681\n", - "Minimal eigen value: 0.5567387557668824\n", - "Eigen values: [8.05918702e+02 2.62108634e+02 5.56738756e-01 1.70864324e+00]\n", - "Eigen vectors: [[ 0.04572056 -0.32071284 -0.7423529 0.58648536]\n", - " [ 0.17892883 0.01369196 0.61299069 0.76944098]\n", - " [-0.11586404 0.93892699 -0.24836575 0.20810115]\n", - " [-0.9759455 -0.12398352 0.10709366 0.14383813]]\n", - "This is the 15 run out of 25 run.\n", - "The code has run 19.5008 seconds.\n", - "Estimated remaining time: 13.0006 seconds\n", - "=======This is the 16 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 43.09660269 6.59048419 -126.68915571 -31.12994736]\n", - " [ 6.59048419 37.99224879 -16.09096346 -209.11379689]\n", - " [-126.68915571 -16.09096346 380.61845015 80.9202888 ]\n", - " [ -31.12994736 -209.11379689 80.9202888 1188.77019715]]\n", - "Trace: 1650.4774987815367\n", - "Determinant: 377289.91439240717\n", - "Condition number: 2481.5331584244427\n", - "Minimal eigen value: 0.4977587555539962\n", - "Eigen values: [1.23520486e+03 4.13290103e+02 4.97758756e-01 1.48478063e+00]\n", - "Eigen vectors: [[ 0.03730531 -0.3135781 -0.77866613 0.54217722]\n", - " [ 0.1725762 0.01383184 0.56460354 0.80699999]\n", - " [-0.10148488 0.9433793 -0.25614111 0.18473777]\n", - " [-0.97904371 -0.10729839 0.09640345 0.14375966]]\n", - "This is the 16 run out of 25 run.\n", - "The code has run 20.5361 seconds.\n", - "Estimated remaining time: 11.5516 seconds\n", - "=======This is the 17 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 36.04956949 9.70175573 -98.97227133 -43.42997368]\n", - " [ 9.70175573 40.22722664 -22.44817902 -201.75717189]\n", - " [ -98.97227133 -22.44817902 280.76635309 104.14374397]\n", - " [ -43.42997368 -201.75717189 104.14374397 1050.107279 ]]\n", - "Trace: 1407.150428212321\n", - "Determinant: 385007.6600820056\n", - "Condition number: 1607.705026141176\n", - "Minimal eigen value: 0.6877958792543253\n", - "Eigen values: [1.10577289e+03 2.98996660e+02 6.87795879e-01 1.69308018e+00]\n", - "Eigen vectors: [[ 0.05355966 -0.32712622 -0.78888975 0.51746764]\n", - " [ 0.18728768 0.01854209 0.54218599 0.81891017]\n", - " [-0.13417312 0.93385046 -0.27197264 0.18960955]\n", - " [-0.97162352 -0.14341531 0.09858088 0.16019237]]\n", - "This is the 17 run out of 25 run.\n", - "The code has run 21.8361 seconds.\n", - "Estimated remaining time: 10.2758 seconds\n", - "=======This is the 18 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 32.61461164 7.69867871 -89.0993161 -32.29861652]\n", - " [ 7.69867871 31.72831286 -16.69497597 -158.49193121]\n", - " [ -89.0993161 -16.69497597 254.2360823 74.24416491]\n", - " [ -32.29861652 -158.49193121 74.24416491 836.93855685]]\n", - "Trace: 1155.5175636475976\n", - "Determinant: 377055.4880801895\n", - "Condition number: 1153.5639598389243\n", - "Minimal eigen value: 0.7616413006513915\n", - "Eigen values: [8.78601955e+02 2.74098284e+02 7.61641301e-01 2.05568373e+00]\n", - "Eigen vectors: [[ 0.05232178 -0.32611304 -0.77255089 0.54228945]\n", - " [ 0.18508459 0.0153093 0.56859711 0.80137796]\n", - " [-0.12810799 0.93511485 -0.2637982 0.1988946 ]\n", - " [-0.97293087 -0.13775386 0.10135559 0.15542345]]\n", - "This is the 18 run out of 25 run.\n", - "The code has run 23.1703 seconds.\n", - "Estimated remaining time: 9.0107 seconds\n", - "=======This is the 19 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.10005329 7.00415735 -85.51112415 -28.82462185]\n", - " [ 7.00415735 29.06295311 -14.89946105 -147.24386132]\n", - " [ -85.51112415 -14.89946105 246.34677219 66.24844458]\n", - " [ -28.82462185 -147.24386132 66.24844458 791.39773727]]\n", - "Trace: 1097.9075158546405\n", - "Determinant: 321261.1602557401\n", - "Condition number: 1206.260839809684\n", - "Minimal eigen value: 0.6870414530693149\n", - "Eigen values: [8.28751200e+02 2.66350928e+02 6.87041453e-01 2.11834600e+00]\n", - "Eigen vectors: [[ 0.04997416 -0.32388984 -0.74853222 0.57645249]\n", - " [ 0.18211959 0.01362623 0.60381065 0.77592492]\n", - " [-0.12282242 0.93672065 -0.25260431 0.20895007]\n", - " [-0.97429446 -0.13215185 0.10631688 0.14826637]]\n", - "This is the 19 run out of 25 run.\n", - "The code has run 24.5279 seconds.\n", - "Estimated remaining time: 7.7456 seconds\n", - "=======This is the 20 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 30.20764167 6.38536954 -83.77945916 -26.53899955]\n", - " [ 6.38536954 27.58709508 -13.71814607 -142.28482105]\n", - " [ -83.77945916 -13.71814607 243.19229482 62.12514983]\n", - " [ -26.53899955 -142.28482105 62.12514983 775.12800093]]\n", - "Trace: 1076.1150325090841\n", - "Determinant: 254255.2767080606\n", - "Condition number: 1330.7789533668292\n", - "Minimal eigen value: 0.608797184202226\n", - "Eigen values: [8.10174480e+02 2.63374511e+02 6.08797184e-01 1.95724430e+00]\n", - "Eigen vectors: [[ 0.04736083 -0.32223551 -0.724051 0.60800607]\n", - " [ 0.17980376 0.01327246 0.63595878 0.75036717]\n", - " [-0.11822723 0.93802249 -0.24264785 0.2173894 ]\n", - " [-0.97542293 -0.12689337 0.11148365 0.14149058]]\n", - "This is the 20 run out of 25 run.\n", - "The code has run 25.9293 seconds.\n", - "Estimated remaining time: 6.4823 seconds\n", - "=======This is the 21 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", - " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", - " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", - " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", - "Trace: 1981.042219842969\n", - "Determinant: 561207.9661975782\n", - "Condition number: 2950.219453858868\n", - "Minimal eigen value: 0.5016011129216537\n", - "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", - "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", - " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", - " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", - " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", - "This is the 21 run out of 25 run.\n", - "The code has run 27.0439 seconds.\n", - "Estimated remaining time: 5.1512 seconds\n", - "=======This is the 22 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 40.19555527 12.11446351 -108.66725424 -54.3459613 ]\n", - " [ 12.11446351 47.99978202 -28.09006195 -236.92312301]\n", - " [-108.66725424 -28.09006195 303.437124 129.66972126]\n", - " [ -54.3459613 -236.92312301 129.66972126 1209.21121023]]\n", - "Trace: 1600.8436715191028\n", - "Determinant: 574493.5740840156\n", - "Condition number: 1641.1009670028882\n", - "Minimal eigen value: 0.7786241069263284\n", - "Eigen values: [1.27780077e+03 3.20462429e+02 7.78624107e-01 1.80184348e+00]\n", - "Eigen vectors: [[ 0.0568252 -0.33099073 -0.78928622 0.514046 ]\n", - " [ 0.19061862 0.02031409 0.53926997 0.82002426]\n", - " [-0.1409001 0.93130083 -0.27612116 0.19126691]\n", - " [-0.96983638 -0.15070249 0.09986123 0.16350503]]\n", - "This is the 22 run out of 25 run.\n", - "The code has run 28.3487 seconds.\n", - "Estimated remaining time: 3.8657 seconds\n", - "=======This is the 23 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 34.82843368 8.98465572 -93.24076194 -36.95321608]\n", - " [ 8.98465572 34.72022928 -19.10068248 -169.32118473]\n", - " [ -93.24076194 -19.10068248 261.98357659 82.95163035]\n", - " [ -36.95321608 -169.32118473 82.95163035 876.1350836 ]]\n", - "Trace: 1207.6673231394532\n", - "Determinant: 560761.2445733282\n", - "Condition number: 1016.6953838753852\n", - "Minimal eigen value: 0.9075873160433475\n", - "Eigen values: [9.22739835e+02 2.81642447e+02 9.07587316e-01 2.37745440e+00]\n", - "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", - " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", - " [-0.13533435 0.93253239 -0.26619814 0.20299388]\n", - " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", - "This is the 23 run out of 25 run.\n", - "The code has run 29.7750 seconds.\n", - "Estimated remaining time: 2.5891 seconds\n", - "=======This is the 24 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Existed information has been added.\n", - "FIM: [[ 32.4619363 7.89946484 -87.63421063 -31.52510018]\n", - " [ 7.89946484 30.55560188 -16.29518684 -151.74607207]\n", - " [ -87.63421063 -16.29518684 249.65652506 70.45831361]\n", - " [ -31.52510018 -151.74607207 70.45831361 804.97755722]]\n", - "Trace: 1117.651620471588\n", - "Determinant: 454517.0126153976\n", - "Condition number: 1059.799723292563\n", - "Minimal eigen value: 0.7970814142579506\n", - "Eigen values: [8.44746662e+02 2.69604107e+02 7.97081414e-01 2.50377024e+00]\n", - "Eigen vectors: [[ 0.05337759 -0.32661762 -0.74037869 0.58507364]\n", - " [ 0.18442587 0.01338178 0.61386088 0.76745217]\n", - " [-0.12811295 0.93486205 -0.25133676 0.21552227]\n", - " [-0.97299795 -0.13847311 0.10883033 0.14918496]]\n", - "This is the 24 run out of 25 run.\n", - "The code has run 31.3061 seconds.\n", - "Estimated remaining time: 1.3044 seconds\n", - "=======This is the 25 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.06754309 6.93261012 -84.92848531 -27.95381437]\n", - " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", - " [ -84.92848531 -14.44938555 244.72765813 64.01566832]\n", - " [ -27.95381437 -143.99757491 64.01566832 779.5560886 ]]\n", - "Trace: 1083.6008663180692\n", - "Determinant: 330586.4915112132\n", - "Condition number: 1212.3887740652594\n", - "Minimal eigen value: 0.6727727406629871\n", - "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772741e-01 2.27338343e+00]\n", - "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", - " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", - " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", - " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", - "This is the 25 run out of 25 run.\n", - "The code has run 32.8335 seconds.\n", - "Estimated remaining time: 0.0000 seconds\n", - "The whole run takes 32.83356499671936 s.\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -2120,117 +466,10 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "991969ba", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 700.0)\n", - "[\"'CA0'\"] is/are fixed.\n", - "1D sensitivity curve is plotted with T .\n" - ] - }, - { - "data": { - "image/png": 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25J4zezFt7kpOGzuZhavWxx2SiEilUaKJyfHd2/KP8/rw3bJ1DBo1iTlL1sYdkohIpVCiidHBe7Tk8QsPYt3GLZw8ehKfzFsZd0giIhVOiSZm+7VvypMX9yW3TjZnjH2Xd2dXygTTIiKxUaLJAJ1bNeKpYX1ps1M9Bj/wPhM+XRB3SCIiFUaJJkO03ak+/7qoL13bNWHYI1P41wfflXyQiEg1oESTQZo1rMujFxzIIXu24uqnpzH6zVlxhyQiUm5KNBmmQd063Dc4jxP2b8ctL37BTeM/1/xoIlKtaWaADFS3ThZ3ntaDZg1yGPvWbJau2citg7pTR1PWiEg1pESTobKyjBEndKV5w1zuePVLVhZs5O4ze1EvxUqeIiKZTP8iZzAz4/Kj9uSPA7sx8YtFDL7/fVYWaMoaEalelGiqgXMO6shdZ/Rk6nfLOX3suyxarSlrRKT6UKKpJn6yXzseOLcP3yxdy8mjJvPNUk1ZIyLVgxJNNXLonq14bOhBrF6/iUGjJvPZ/FVxhyQiUiIlmmqmx65hypqcbOO0sZN5/+tlcYckIlIsJZpqaI/WjXl6WD9aN87lnPvf49XPFsYdkohIkZRoqql2Tevz5MX92LttEy56ZApP5mvKGhHJTEo01VjzhnV57IID6de5BVc9NY2xb2nKGhHJPEo01VzD3DrcNySPAfu15abxX3CzpqwRkQyjmQFqgNw62fzt9J40a5DDmLdms2ztRm4+SVPWiEhmUKKpIbKzjD/+rBstGuby14lfsaJgE3ed0VNT1ohI7GL9l9fMLjWzaWa2KnpMNrMBxZTvb2bPmdn3ZrYuOvbnKcp4isfelf+O4mVmXHH0XtxwQlde/Xwhgx94n1XrNWWNiMQr7r6VucA1QC8gD3gNeNbM9iuifD9gOnAy0A0YBYw1szNTlO0KtE14fFWxoWeuIf06cedpPfjwm+WcPuZdFq/eEHdIIlKLWaZdODazZcBwdx9TyvL/ArLdfVD0vD/wOtDK3Zek+/p5eXmen5+f7mEZ6c0vF3Pxw1No3SSXh39+IB1aNIg7JBGpocxsirvnpdoXd4vmB2aWbWanA42ASWkc2gRYnmJ7ftTFNtHMjqiQIKuZw/dqxaNDD2RlwSYGjZ7E599ryhoRqXqxJxoz625ma4ANwGjgRHefXspjfwIcCYxN2Pw9MAwYBJwEzAAmmtlhxZznQjPLN7P8xYsXl/GdZKZeHZrx5EV9yTbj1DGT+WCOpqwRkaoVe9eZmdUFOgBNCclhKNDf3T8p4biDgReBa9x9VAllxwOb3f2EkuKpSV1nieYuX8fg+99n3ooC/n5WL47cZ+e4QxKRGiSju87cfaO7z3T3fHcfDnwEXFHcMWZ2CCHJ/L6kJBN5D9iz3MFWY+2bNeDJi/vSpU1jLnx4Ck9PmRt3SCJSS8SeaFLIAnKL2hl1gb0I3ODud5bynD0IXWq1WotGuTw29CAO2r05Vz75Mff9b3bcIYlILRDrDZtmdgvwAvAd0Bg4E+gPDIj23wwc4O5HRs/7R+X/DjxqZm2iU21x98VRmV8Bc4BPgbrA2cBAQrdcrdcotw4PnNuHK/75ETe+8DlL127k6mO6YGZxhyYiNVTcMwO0AR6Jvq4EpgHHufuEaH9boHNC+XOBBsCvo0ehb4BO0fd1gduAXYACQsIZ4O7jK+UdVEO5dbK564xeNG3wCaPemMXytRu5cWA3TVkjIpUi9sEAmaamDgZIxd25/ZUvueu1mRzTdWf+erqmrBGRssnowQASHzPjyh934fqf7suETxdy3j8+YLWmrBGRCqZEI5x38G7ceVoPPpizjDPufZclazRljYhUHCUaAWBgz124d0geMxet4eRRk/hu2bq4QxKRGkKJRn5wRJfWPHrBgSxbu5FBoyYxY8HquEMSkRpAiUa207tjc568uB9mcMroSUz5RlPWiEj5KNHIDrq0acxTF/ejRaNczrrvPV7/YlHcIYlINaZEIynt2jxMWbNH60YMHZfPs1PnxR2SiFRTSjRSpJaNcnl86EH06dScX/3zIx54++u4QxKRakiJRorVuF4O/zivD8d2bcMfnv+M2ybMQDf5ikg6lGikRPVysrnnrF6c3mdX7n59Jtc++wlbtirZiEjpxD3XmVQT2VnGzSd1p3nDuvz9jVmsWLeRO07rQW4dTVkjIsVTopFSMzOuPnZvmjesy40vfM6KdR8wdnAejXL1MRKRoqnrTNJ2waG785dT9ue9r5dxxth3Waopa0SkGEo0UiaDerdn7Dm9+XLhak4ZPZm5yzVljYiklnaiMbOeZvaMmS0xs81m1ivafpOZHVvxIUqmOnKfnXnkggNZsmYDJ4+azJcLNWWNiOworURjZocAk4G9gceSjt8KXFxxoUl10KdTc/55UV+2unPK6Ml8+O3yuEMSkQyTbovmFmAC0BX4v6R9HwK9KiIoqV72aduEp4f1o2mDHM669z3emKEpa0Rkm3QTTS9glIc79pJvpFgCtKqQqKTa2bV5A566uB+7tWzIBQ/l89xHmrJGRIJ0E816oEER+9oCK8sXjlRnrRrn8sRFB9G7YzN+9c+PeGjSnLhDEpEMkG6ieRv4lZkl3qVX2LI5H3itQqKSaqtJvRwe+vkBHLXPzlz/n0+5/ZUvNWWNSC2XbqK5jtB99nH0vQNDzOx14CDghooNT6qjejnZjDqrF6fmtedvE7/iuuc0ZY1IbZZWonH3j4HDgIXAtYABl0W7D3f3GRUbnlRXdbKzuHXQflx0+O488u63/PKJqWzYvCXusEQkBmnPHeLuHwJHmlk9oDmwwt11t57swMwYftw+tGhYl5vGf8HKdZsYc05vGmrKGpFapcwzA7j7enefryQjJbnwsM6MPHk/Js9eypn3vsuytRvjDklEqlBa/1qa2TVAe3f/RYp9fwO+c/eRFRWc1Byn5O1K0wZ1ueyxDzll9CTOPrAj9739NfNXFNCuaX2uOqYLA3vuEneYIlIJ0m3RnAdMK2LfR9F+kZSO3ndnxv38AOatKOAPz3/GvBUFODBvRQHDn5mu5aJFaqh0E00H4Ksi9s0GOpYvHKnpDty9BU3q5exwt2/Bpi2MnKCxJCI1UbqJZh1QVP9GeyCt+eLN7FIzm2Zmq6LHZDMbUEz5/mb2nJl9b2bromN/nqLc4WY2xczWm9lsM9McbBlk8erUH5P5KwqqOBIRqQrpJpr/AVeZWW7ixuj5ldH+dMwFriHcm5NHuOHzWTPbr4jy/YDpwMlAN2AUMNbMzkyIZTdgPDAJ6AncDNxlZoPSjE0qSbum9dPaLiLVm6Vz17aZ7U/4A74EeASYR2jhnA20AA6O7rUpe0Bmy4Dh7j6mlOX/BWS7+6Do+a3ASe6+Z0KZ+4Cu7t63pPPl5eV5fn5+2YKXUnl26jyGPzOdgk3b7qvJNuO2U/bjxF7tY4xMRMrKzKa4e16qfWmNOnP3j83sCOA2Qkski7A8wNvAoPIkmWham1OARoRkVlpNCC2jQn2Bl5PKTCDMYJDj7ptSvPaFwIUAHTp0SCdsKYPC0WUjJ8xg/ooCGuXWYfWGzSzVsGeRGqksN2y+DxxmZvWBZsBydy9z57qZdSescVMPWAOc6O7TS3nsT4AjgYMTNrcBXk0qupDwXlsC3yefx93HAmMhtGjSfAtSBgN77vJDwtm61Rn26BRuGv85e+7cmMP30iTgIjVJeW7YLIhu2CzvFdwZQA/CXGmjgIfMrFtJB5nZwYTF134ZJb/twksuXsR2yQBZWcbtp/Zgr50bc9ljHzJr8Zq4QxKRClSmRGNm+5vZqWY2OPmR7rncfaO7z3T3fHcfTrgf54oSXv8Q4EXg9+4+Kmn3AkKrJlFrYDOwNN34pGo0zK3DfUPyqJudxQUP5bNy3Q49nCJSTaU7M0BT4AVC6wNStxTGlTOmLCC3qJ1mdlgUwwh3vzNFkcnAwKRtRwP5qa7PSOZo36wBo8/pzZn3vstlj3/IP87tQ53sMje6RSRDpPtbfBNhdNlhhCRzIvAj4FHCDZsHpHMyM7vFzA41s05m1t3Mbgb6R+fDzG42s4kJ5fsTWjKjgUfNrE30SOzUHw20N7M7zWwfM7sAOJcwgEEyXJ9OzblxYDf+99US/jT+87jDEZEKkG6iOYaQbN6Nns919zfcfTDhAvzlaZ6vDWGY9AxgItAHOM7dX4z2twU6J5Q/l7DC568JF/ULHx8UFnD3r4HjCcnwI8JyBr9096fTjE1iclqfDpx3cCf+8c4c/vnBt3GHIyLllO6os7bAbHffYmbrgcYJ+54BnkjnZO5+bjr7o+fFHhOVe5NwE6hUU9cevw8zF63hd89+wu6tGtGnU/O4QxKRMkq3RbMAaBp9/w3hnpVCe1REQCIQFk67+4xe7NqsARc/PIW5y7UahUh1lW6ieZttyeVh4HozG2Nm9wAjCTdGilSInRrkcO+QPDZu2coFD+WzdsPmuEMSkTJIN9HcALwUfT8SuAcYAJwB/AfYYZ0akfLo3KoRd5/Ziy8Xrub//vURW7fqViiR6iatROPus9z9f9H3m9z9Sndv7+7N3f1Md9d9KlLhDt+rFb89fh8mfLqQO1/9Mu5wRCRNpU40ZlbXzP4d3cciUqXOP2Q3Tundnr+9NpPnp82POxwRSUOpE427bwSOSucYkYpiZtx4Yjd6d2zGr5/8mE/mrYw7JBEppXSTxjtsmxVApErl1slm9Nm9ad6gLkPH5bNo9fq4QxKRUkg30VwJnG9ml5lZezPLNrOsxEdlBClSqFXjXMYOzmPFuk1c9PAU1iesaSMimSndxDCdcKf+Xwn30WwENiU8tKCIVLpuu+zEX07dn6nfruC3/55OOov3iUjVS3dmgD+gqfYlAxzfvS2XH7knf534FXu3acyFh3Uu+SARiUWJicbMZhMWI/vY3UdUfkgipXP5kXvy5cLV3PziF+zZujFH7N067pBEJIXSdJ11ophp+0XikpVl/OXU/dmnTRN++fhUZi5aHXdIIpKCLt5Ltdagbh3uHZJHbk5YMG3FOl0mFMk0pU00ui4jGWuXpvUZfXZv5q0o4LLHprJ5y9a4QxKRBKUdDHCDmS0pRTl39yHlCUikLPI6NedPJ3bn6qemceMLnzPihK5xhyQikdImmh7AhlKUU8tHYnNq3q7MWLCa+9/+mi5tGnPGAR3iDklEKH2iGeju71dqJCIVYPhxe/PVojVc9+wn7N6yIQfu3iLukERqPQ0GkBqlTnYWd53Rkw4tGjDs0Q/5bpkWTBOJmxKN1Dg71c/hvsF5bN6ylaHj8lmjBdNEYqVEIzXS7gkLpl3xTy2YJhKnEhONu2fp+oxUR4ft1YrfDdiXVz5byO2vaME0kbikO9eZSLVy3sGdmLFgNXe/PpO92jTmhP3bxR2SSK2jrjOp0cyMPw7sRp9OzbjqyY+ZNndF3CGJ1DpKNFLj1a2Txaize9OyUS4XjpvColVaME2kKinRSK3QslEuYwf3ZmXBJoZqwTSRKqVEI7VG13Y7ccdp+/PxdysY/owWTBOpKuVONGbWy8wGRo9eaR57qZlNM7NV0WOymQ0opnw9M3swOmaTmb2Rokx/M/MUj73L8Pakhjm2W1uuOGov/j11HmPemh13OCK1QplHnZlZb+BRwvxm3wIGdDQzgDPdfUopTjMXuAb4ipD0hgDPmllvd5+Wonw2sB64GzgeaFrMubsCyxKeLy5FPFIL/PLIPfhy4WpufekL9mzdiCP32TnukERqtPIMbx4LXOburyZuNLOjgXuBEls37v5c0qZrzWwY0BfYIdG4+1rg4uh19qP4RLPI3Usz47TUMmbGbafsz5yla7n8iY/49yX92HPnxnGHJVJjlafrrFFykgFw91eAhumezMyyzex0oBEwqRxxFco3s+/NbKKZHVEB55MapH7dbO4dnEe9nGwuGJfP8rVaME2kspQn0Swys/PMLLtwQ5QsLgBK3ZIws+5mtoawDMFo4ER3n16OuL4HhgGDgJOAGcBEMzusmBguNLN8M8tfvFg9bLVFu6b1GXNOb75fsZ5LH/uQTVowTaRSlCfRDAHOAJaZ2edm9jnhmshp0b7SmkFY7+YgYBTwkJl1K2tQ7j7D3Ue7+xR3n+zulwAvAb8u5pix7p7n7nmtWrUq60tLNdS7YzNuOqk7k2Yt5Y/PfxZ3OCI1Upmv0bj7bODHZtYSKFxh6tt0r4u4+0ZgZvQ038z6AFcA55c1thTeA06vwPNJDXJy7/bMWLCKe/8XFkw768COcYckUqOUe66zKLFsl1zMrLW7LyrjKbOA3PLGlaQHoUtNJKXfHLcPXy1aw/XPfcruLRvRt7MWTBOpKJV1w2Z+aQqZ2S1mdqiZdYqu1dwM9CcMm8bMbjaziUnH7GtmPYCWQCMz6xE9L9z/q+ienj3NrGt0zoGEIdEiKWVnGX87oycdWzTgkken8O1SLZgmUlHKcx/NCcXsrlfK07QBHom+riQMaT7O3SdE+9sCnZOOGQ8k9m1MLQwp+loXuA3YBSgAPgUGuPv4UsYktVSTejncN6QPA+95h6Hj8nn6kn40ytUE5yLlZWWdhsPMtgBvsu0PfKKD3L1+eQKLS15enufnl6pBJjXU218tYcg/3ueILq0Ze05vsrJSfcRFJJGZTXH3vFT7ytN19hVwvrsfkfwgjeHNIpnmkD1bct2AfXj184Xc9vKMuMMRqfbKk2geIlwnSWV0Oc4rErsh/TpxxgG78vc3ZvHcR/PiDkekWivP8Oabi9n3p7KeVyQTmBk3nNCNWYvXcvVT0+jUoiH779o07rBEqqW0WjTRiK7DzEwTQ0mNV7dOFqPO6kXLRrkMHZfPQi2YJlIm6Xad3QK8Diw3sxlm9piZ/drMjjCznSohPpFYtWiUy31D8lizYTMXjsvXgmkiZZBuotkXmEMYUvwhYUaA64FXgaVmNsXMLjIzLagmNcY+bZtw+6k9+HjuSq55epoWTBNJU7oJYTTwb3fv4+5nuPshhHta7gKWE2Zd/hMwwcxyKjZUkfgc260NVx69F899NJ9Rb86KOxyRaiXdRHMI4YbJH7j7Mnf/FfAMYVLNPMKiY0VOYilSHV32oz34yX5tGTlhBq9+tjDucESqjXQTzSKgZxH7/gkMdvc5wB3AWeWISyTjmBkjT96fbu124vInpjJjweq4QxKpFtJNNOOA35lZqmSzC9vuq5nCjlPHiFR79etmM3Zwbxrk1uGCcR9owTSRUkg30fyRMO3Mu2Y2zsxON7P+ZnYRcCvbJtPMBTZVYJwiGaPtTmHBtIWrNjDs0SlaME2kBGklGnff5O4DgV8AfYHHgImEBcuWAhdFRQ8CdMVUaqxeHZpxy0ndeXf2Mm7476dxhyOS0co0M4C7jwXGmtnuhBmWFwNf+bZxny8SWj4iNdZJvdozY8Fqxrw1my5tmnDOQVowTSSV8iwTUDdaZXN28j53f7dcUYlUE1cfuzdfLVrDiP98SudWDenXuajp/0Rqr3SnoKljZn8ys8VAgZktMbMnzKxfJcUnktGys4y/nt6D3Vo25JJHP+SbpWvjDkkk46Q7GOBa4P+Ap4FrCCthdgX+Z2a/qeDYRKqFxvVyuG9wHu5wwUP5rF6vcTAiidJNNIOB37r7xe5+m7tf7u7dgaHACDP7WcWHKJL5OrVsyKizejF7yVp+9cRHbNmqaWpECqWbaNoS5jjbjrs/ANyJZgOQWqzfHi25/qf7MvGLRYycoAXTRAqlm2i+AnoUse8lYP9yRSNSzZ1zUEfOPLADo9+cxb+nzo07HJGMkG6iuR/4vZn1SLGvPbCm3BGJVGNhwbSuHLhbc655ejpTv10ed0gisUs30dwFvAG8F80McEa0Fs1Qwlo1L1V0gCLVTU52FqPO7k3rxrlc9PAUFqzUgmlSu6U7M4ADpwC/BfoTRp1NBMYAnwBXVnB8ItVS84Z1uW9IHms3bObCh7VgmtRuJSYaMzvKzJoXPnf3re7+F3fvAOwDHAp0cPdj3V39BCKRvds04Y7TejB93kquekoLpkntVZqZAV4G3My+IYw4mxI9PnT3GYCG14gU4cdd2/DrH3dh5IQZ7N2mMZcesUfcIYlUudIkmq5AL6B39PgN0JiQfOYSJR22JR+tCCWS4JL+nZmxYDUjJ8xgz9aN+HHXNnGHJFKlrCzNeTPbi5B0ChNQT2AnwmWc7AqNsIrl5eV5fn5+yQVF0rB+0xZOHTOZmYvW8Mwl/di7TZO4QxKpUGY2xd3zUu1Ld9QZAO7+pbs/7u5XufuP3L0ZsBdwRnkCFamp6uVkM/acPBrl1uGCh/JZumZD3CGJVJkyJZpU3H2mu/8rnWPM7FIzm2Zmq6LHZDMbUEz5emb2YHTMJjN7o4hyh5vZFDNbb2azzeziNN+OSIVrs1M9xg7OY9HqDQx79EM2btaCaVI7VFiiKaO5hMk5ewF5wGvAs2a2XxHls4H1wN3AC6kKmNluwHhgEqFL72bgLjMbVLGhi6Svx65N+fOg/Xj/62WM+O+nGokmtUKZ16OpCO7+XNKma81sGGH1zmkpyq8FLgaIklHTFKe9GJjv7r+Inn9uZgcS5mF7uoJCFymzgT134YsFqxn95iz2btOYwX07xR2SSKWKu0XzAzPLNrPTgUaE1khZ9SUMyU40Acgzs5xynFekwlx1TBeO3Ls1N/z3M96ZuSTucEQqVeyJxsy6m9kaYAMwGjjR3aeX45RtgOQh1gsJrbeUyx+a2YVmlm9m+YsXLy7HS4uUTnaWcefpPejcKiyYNmeJFkyTmiv2REO44bMHcBAwCnjIzLqV85zJHd9WxPaw0X2su+e5e16rVq3K+dIipRMWTOuDGVwwLp9VWjBNaqjYE427b4xGrOW7+3DgI+CKcpxyAaFVk6g1sBlYWo7zilS4Di0a8PezejFnyVouf3yqFkyTGin2RJNCFpBbjuMnA0clbTsayHd3/csoGadf55Zcf0JXXp+xmD+/9EXc4YhUuFhHnZnZLYRhyt8RprU5kzAr9IBo/83AAe5+ZMIx+wJ1CddbGhWujePuH0VFRgOXmdmdhFmlDwbORTeTSgY756COzFiwijFvzWavnRszqHf7uEMSqTCxJhpCF9cj0deVhCHNx7n7hGh/W6Bz0jHjgY4Jz6dGXw3A3b82s+OBO4BhwHzgl+6uoc2S0a7/aVdmLVrL8Gems1urhvTq0CzukEQqRJnmOqvJNNeZxGn52o2ccM/bFGzcyn9/cTBtd6ofd0gipVLhc52JSOVo1rAu9w/pQ8HGzQwdl0/BRi2YJtWfEo1Ihtlr58b89fSefDp/FVc99bGmqZFqT4lGJAMdte/OXHVMF56f9j13vzYz7nBEyiXuwQAiUoRhh3fmywWr+csrX7J83UYmfLqQ+SsKaNe0Plcd04WBPXeJO0SRUlGiEclQZsYtg/bjw29X8MA7c37YPm9FAcOfCbM0KdlIdaCuM5EMVi8nO+W6NQWbtjBywowYIhJJnxKNSIZbuGp9yu3zVhRUcSQiZaNEI5Lh2jUt+l6an9z1P0a9MYtvl66rwohE0qNEI5LhrjqmC/VzsrfbllsnixP2b0d2Vha3vvQFh418nZ/e9baSjmQkDQYQyXCFF/xHTpiRctTZd8vW8eIn3/PC9AXc+tIX3PrSF3TfZSeO796WAd3b0qFFgzjDF9EUNMk0BY1UZ4lJ5+PvVgAo6UiVKG4KGiWaJEo0UlMo6UhVUqJJgxKN1EQ/JJ1p3/Px3JVASDoD9gtJZ9fmSjpSPko0aVCikZpOSUcqgxJNGpRopDb5btk6xk//nvHTtyWd/dpv615T0pHSUqJJgxKN1FZKOlIeSjRpUKIRUdKR9CnRpEGJRmR7SjpSGko0aVCiESlaYdJ5Yfr3TEtIOgO6t+V4JZ1aTYkmDUo0IqWjpCOJlGjSoEQjkr7vlq3jhah7rTDp7B91rynp1A5KNGlQohEpHyWd2kmJJg1KNCIV59ul6xj/iZJObaBEkwYlGpHKoaRTsynRpEGJRqTyFZV0BuzXluO6KelUR0o0aVCiEalahUnnhWnfM32ekk51pUSTBiUakfikTDq7NmVA9zZKOhkuYxONmV0KXAR0ijZ9Ctzo7i8Uc0x34G7gAGAZMAb4o0dvxMz6A6+nOHQfd/+ipJiUaEQyw7dLt41eS046x3dvS/tmSjqZJJMTzc+AjcBXQBYwBLga6O3u01KUbwJ8CbwF/AHoAjwIjHD3v0Rl+hMSTVdCIiq02N23lBSTEo1I5lHSyXwZm2hSMbNlwHB3H5Ni3zDgVmBndy+Itv0OGAa0d3dPSDSt3H1Juq+vRCOS2UqTdJ6dOo+RE2Ywf0UB7ZrW56pjujCw5y4xR16zVYtEY2bZwCnAOEKLZnqKMuOAFu4+IGFbH+B9YHd3/zoh0XwD5AKfEbrjUnWn7UCJRqT6SJV0OjRvwPwVBWzeuu1vW/2cbG4+qbuSTSUqLtHUqepgkkXXXCYD9YA1wImpkkykDTA3advChH1fA98TWjgfAHWBc4CJZtbf3d8qIoYLgQsBOnToUPY3IyJVqkOLBgzr35lh/TvzzdK1jJ++gNtfmbFdkgEo2LSF65775IdjOjRvQIuGdTGzOMKudWJv0ZhZXaAD0BQYBAwF+rv7JynKvgx85+7nJ2zrCMwB+rr7u0W8xnhgs7ufUFI8atGIVG+7/eYFSvNXrUHdbDo0b8CuzUPiKXzs2rwB7ZvVp15OdqXHWpNkdIvG3TcCM6On+VFX2BXA+SmKLyC0XBK1jr4upGjvAaeXJ04RqR7aNa3PvBUFO27fqR7jzj+Ab5et49ul6/h2WcEP37/91RIKNm0bK2QGbZrUS5mEOjRvQMtGag2lI/ZEk0IW4dpKKpOBW82snruvj7YdDcwntGqK0oPQpSYiNdxVx3Rh+DPTt0sc9XOyufrYvdmjdWP2aN14h2PcnSVrNobEs2wt3y4NSei7ZSEJLVi1frvyag2lJ9ZEY2a3AC8A3wGNgTOB/sCAaP/NwAHufmR0yGPA9cCDZnYjsBfwG+CGhPtofkVIOp8SrtGcDQwkdMuJSA1XeME/nVFnZkarxrm0apxL747Ndti/ftMW5i4v4Ltl66JktI5vlqZuDUFoDRUmno4t1BqKu0XTBngk+roSmAYc5+4Tov1tgc6Fhd19pZkdDdwD5APLgb8Atyecsy5wG7ALUEBIOAPcfXzlvhURyRQDe+5SoSPM6uVks0frRuzRutEO+xJbQ4mJ6Ntl65g0awlPf7h9a6h+TnJrqH40QKFhjW0NxT4YINNoMICIVKRUraHEpLRuY9GtoQ7NG9ChRf0fnrdqlJuxraGMHgwgIlKTldQaWrp2Y8IAhe1bQ89MXU9iW6Do1lAD2jdrkLGtISUaEZGYmBktG+XSslEuvTqkvjY0b8W2gQnfLl3HN9H3k2Yt2aE1tHOT3CgBNUyrNVTZMyko0YiIZKh6Odl0btWIzq2Kbw19l9QiStUaqpeTtcMw7Y4tGvDlwjXc+cqXrN+8FYB5KwoY/ky4Z76iko0SjYhINVSW1tC2RLR0h9ZQooJNWxg5YYYSjYiIFK2k1tCyqDV04t8npTx+foqbXstKiUZEpJYxM1o0yqVFo1x2KWomhab1K+z1sirsTCIiUu1cdUwX6ieNVqufk81Vx3SpsNdQi0ZEpBYry0wK6VKiERGp5Sp6JoVk6joTEZFKpUQjIiKVSolGREQqlRKNiIhUKiUaERGpVFomIImZLQa+KccpWgJLKiic2kD1lR7VV3pUX+kpT311dPdWqXYo0VQwM8svak0G2ZHqKz2qr/SovtJTWfWlrjMREalUSjQiIlKplGgq3ti4A6hmVF/pUX2lR/WVnkqpL12jERGRSqUWjYiIVColGhERqVRKNCIiUqmUaIphZpea2TQzWxU9JpvZgIT9ZmYjzGy+mRWY2Rtm1jXpHLlmdpeZLTGztWb2HzNrX/XvpuqZ2W/NzM3s7oRtqrNIVA+e9FiQsF91lYKZtTWzh8xssZmtN7PPzOzwhP2qt4iZzUnxGXMzeyHaXyV1pURTvLnANUAvIA94DXjWzPaL9l8NXAn8AugDLAJeMbPGCee4ExgEnAEcCjQBnjez7Ze0q2HM7CBgKDAtaZfqbHszgLYJj+4J+1RXScysKfAOYMAAYB9C/SxKKKZ626YP23++egEO/CvaXzV15e56pPEAlgEXET7o3wPXJuyrD6wGLoqe7wRsBM5KKLMrsBU4Ju73Uol1tBMwC/gR8AZwd7RddbZ9PY0APilin+oqdb3cBLxTzH7VW/H1dy2wAmhQlXWlFk0pmVm2mZ0ONAImAbsBbYCXC8u4ewHwFtAv2tQbyEkq8x3weUKZmmgs8JS7v5a0XXW2o93NbJ6ZfW1mT5jZ7tF21VVqA4H3zOyfZrbIzD4ys8vMzKL9qrciRHV0PvCIu6+jCutKiaYEZtbdzNYAG4DRwInuPp3wAwJYmHTIwoR9bYAt7DhJXWKZGsXMhgJ7ANel2K062957wLnAcYRuxjbAJDNrgeqqKLsDlwCzgWOAvwK3AJdG+1VvRTuakFzui55XWV3VSSvM2mkG0ANoSuinfMjM+ifsT77j1VJsS1aaMtWOmXUhdG0c6u4biymqOgPc/cXE52b2LuEP6BDg3cJiSYfVyrpKkAXku/vw6PlUM9uTkGjuTiinetvRUOADd/8oaXul15VaNCVw943uPtPdCz/cHwFXAIWjg5Kzemu2/YewAMgmTL1dVJmapC/hvX5iZpvNbDNwOHBJ9P3SqJzqLAV3XwN8CuyJPl9F+R74LGnb50CH6HvVWwpm1hr4GXBvwuYqqyslmvRlAbnA14QfwtGFO8ysHmFUxqRo0xRgU1KZ9oSRMoVlapJnCaOmeiQ88oEnou+/RHVWpKgu9ib8MdXnK7V3gC5J2/Zi2xpSqrfUziV0/z+RsK3q6iruURCZ/CD0/R4KdCL8Ab2ZMNriuGj/NcAq4CSgW/RDnA80TjjHKGAecBTQE3id0CrKjvv9VVEdvkE06kx1tkPd3EZo8e0GHAg8H9VNR9VVkXXWJ/rDdy3hWuApwErgUn3GiqwzI/yTd2+KfVVSV7FXQiY/gAcJ/yltIIwvf5WEIX3RD3AE4T/Q9cCbQLekc9QD7iJ0G60D/gvsGvd7q8I6TE40qrNt77Pwl3pj9Iv8NLCv6qrEehsAfBzVyZfAL4kmCFa9payvIwjXUw5Isa9K6kqzN4uISKXSNRoREalUSjQiIlKplGhERKRSKdGIiEilUqIREZFKpUQjIiKVSolGpJIVsfBU8mNOMcc/mFDujYTtnaJtFySVb2lmU81smZn1iba9mnCORyrrvYqkokk1RSpf36Tn/ybccDgiYduGEs6xADiRcBd3kcxsZ2AisDPwI982geIvCGuL/LtUEYtUICUakUrm7u8mPjezDcCS5O0l2FBSeTPbhZBkdgIOd/cfJp90988TXlukSinRiNQAZtaBsNR4LiHJfBlzSCI/UKIRqf52J6yK6MBh7v51zPGIbEeJRqT6G05YBbGrkoxkIo06E6n+XiLMwvtXM8uNOxiRZEo0ItXf08DPgR8DT5pZTszxiGxHiUakBnD3h4CLgZ8Cj5lZdswhifxAiUakhnD3scDlwMnAODPT77dkBA0GEKlB3P1v0XWaPwMbzOx81+qGEjMlGpEaxt1HRsnmj4TleS+JOSSp5ZRoRKqYu3cqy3FmVicc7lui88whjDZL9Ro3AjcmHJuFusolJvrgiVQPHYFNhClmyuLl6PiOFRaRSCmZum9FMpuZdQJaRk9Xu/uMMpxjL6BJ9HSpbuyUqqREIyIilUpdZyIiUqmUaEREpFIp0YiISKVSohERkUqlRCMiIpXq/wFTEfNQ9WurEgAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "test = all_fim.extract_criteria()\n", "\n", @@ -2252,66 +491,10 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "c9fe2868", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2D heatmap is plotted with ['CA0', 'T'] .\n" - ] - }, - { - "data": { - "image/png": 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\n", 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TgYeAk0h3lH8GEBEvSLoUOEfSTGAO6afQPcDNueOMB+6MiBOyVRcCt0s6Afg1cACwO7Bzn56wmXVMO3u/SDoX+C3wJOlX/cnAGsBl2fYzgR0i4n1Vu34aeAn4RZuK0rJON78MBn6avb5ACsb7RESlK+LZwOrAd4F1SDcr9oqIubk8jgUWkfqdrw6MBw6LiMW5NJuRa8KJiIlZT5vTgdOAR4CDImJy28/QzLqmjcMEDAF+zpKm3knAThHxRLZ9fVKceY0kkXq9XBER/2xfUVrT6X7qo5psD2B0ttRLs4D0cNLRDdIMrbHuauDqQgU1s57TzlEaI+LgJttH1VgXpK7ZXeWxX8ysNPrDTcJuc1A3s1LweOqJg7qZlYZr6g7qZlYSAlbpdiH6AQd1MysFj6eeOKibWWm4Td1B3cxKwjdKEwd1MysNN784qJtZSfTBJBk9yUHdzErBzS+Jg7qZlYKDeuKgbmal4TZ1B3UzKwnX1BMHdTMrDQd1B3UzKwn3fkkc1Eun45OXr5iXu12A1rzU7QK0oJfK2g4eJiBxUDez0nDzi4O6mZWEb5QmDupmVhpufnFQN7OScE09cVA3s1Jw75fEQd3MSsE19cRB3cxKw23qDupmVhK9XlOXtCowAtgJ2ABYHZgNTANuj4hHi+TjoG5mpdGLQV3Sm4FjgE8AawOvAi8A84F1gdWAkHQX8D3g8oh4tV5+/rViZqVQuVFaZOkvJF0M3A9sD3w9e10tItaLiCER8XpgfeAjwF+A84D7Je1YL08HdTMrhUrzS5GlaV7SaElRtUxvso8kHSNpqqSFkp6TdFaTQw0BdoyIHSPi/Ii4KyIW5RNExIyI+E1EHEUK8N8H3lkvQze/mFlptLmWOg0YmXu/uEn6bwP7AV8B7iU1pazfaIeI2L+VAkXEQuA7jdI4qJtZKfTBjdJFEdGwdv7asaUtgKOBd0TEg7lNf25vkZpzUDez0mhzTX2YpGdIY4lOBr7WoAfKh4FHgb0l/S4rym3AVyJiZtEDSloF2Jaq3i8R8XjRPBzUzawUWqypD5Q0Jfd+TESMyb2fDIwCpgKDgJOAiZK2iog5NfIbBmwCHJztF8C5wG8ljWjUW0XSSsABwGeA3YBVstOpiOzL5efAJRHxcKMTc1A3s1JocZiA2RExvN7GiLhhqbylSaSa+OGkHijVBgCrAodGxEPZPoeS2uW3J31JLFtm6UDgLGAj4EbSl8efgVks6dK4KbAjsD/wn5LGAidFxIxaeTqom1lp9FU/9YiYJ+l+YPM6SZ4jtcE/lFv3N2ARsDF1gjpwEXA2MDYi/lEnzZ3AVaSAviPwVeBI4PRaibvapVHS17KuQhfn1inrTvSspPmSJkjaqmq/VSVdJGm2pJckXSdpSIHjHSjpgay70QOSDuiL8zKzzmtnl8Zl8pZWA7YkBe9a/gisLGmz3LphpIrzEw2yHhYRFzQI6EuJiMkR8RHgnHppuhbUJe1E+ra5p2rT8cBxpDvJ2wMzgXGS1syluQA4EDgE2AVYC7g+a5uqd7wRpG+7K4BtstdfNurEb2a9ZUDBpRlJ50raTdKmWYy4GlgDuCzbfqak8bldbgbuBn4k6V2S3gX8iFRDn0IdEbGgxVOs7Fd33squBHVJa5OC6hHA33PrRXpc9qyIuCYi7iO1Ya0JfDy37xGku8rjIuJu4FDgHcAeDQ57DHBrRJwREQ9GxBnAhGy9mfW4NtfUh5BuTE4DfkWa/HeniKjUutcHXquVZzdC9yNVQm8ntY8/DXy40U3SvtCtNvUxwNURcYukU3LrNwUGAzdVVkTEfEm3A+8GfgBsR7ofkk/zlKQHszQ31jnmCFL7Vd6NwBdX8FzMrJ9oVy01Ig5usn1UjXXPAR9t5TiSnmytWLFJs0QdD+qSjgTeTKpdVxucvVbf1Z0BbJhLs5jUf7M6zWDqG1wn35r7SDoKOApg4403rJXEzPqRAaS+gD1mCPAiqYL5z3Zk2NGgnj119U1gl4h4uUHSqN61xrplsi+QpnC+WZ/VMQDDh7+zWb5m1g/04GBWl5P6qO9Naua5PCJuXZEMO30NRgADgfskLZK0iNTZ/vPZvyud+qtrz4NYUsueTmoWG9ggTS3Tm+RrZj2sL3u/9JWsGWcw8AXSU6TjJD0h6XRJb1mePDsd1K8Ftib1PqksU4Ars38/RAq+e1Z2yLoS7QJMzFbdBbxSlWYI8NZcmlruyO+T2bPJPmbWQ3otqEO6bxgRP42I95P6tH8X+BDwoKRJ2QNKhXW0+SXri/mP/DpJLwHPZz1dkHQBcKKkqaQgfxIwD/hZlscLki4FzpE0k1S7P4/UNfLmXL7jgTsj4oRs1YXA7ZJOAH5N+smzO7BzX5yrmXWW6Mnml6VExLPA2VkcPAX4b9LkGdcUzaM/PlF6Nmkgm+8C65D6ee4VEXNzaY4lPal1VZZ2PHBYROSHxtwMeKryJiImSjqY9BTWacAjwEERUe9JLzPrIS0OE9AvZc/vHAZ8jBTbfglc3HCnKl0P6hExsup9AKOzpd4+C0gPJx3dIM3QGuuuJj1EYGYl1N+aVoqQNAz4ZLZsBvyBNBTAL6oqs4V0PaibmbVDL048LekPpA4kD5N6wvy0lWF2a3FQN7PS6ME29XeT+qnPAPYC9koP1tcUEbFbswwd1M2sFHqxpk4aUqCtz8E4qJtZKfRiUK++p9gODupmVgpl6P3SDg7qZlYavdamLqmlIhcZ8dFB3cxKoRebX0jP2xRtUw8KxGwHdTMrjR4M6l/HN0rNzOoo2pjR0Wkr6ouI0e3O00HdzMpBFB9QfbkmkesNvXZfwcystsqIXu2YpLRDJD0p6Z1V6z4tad3lzbMfnZ6Z2QrqvbF3hwCrVt5IWgm4BBi6vBm6+cXMyqFHu7/UUHecgCIc1M2sPNz24KBePqs2T9KfrNbtArRmjW4XoAW9VFZow6zLvVtTr9Wlcbm7OTqom1k59O44AWMkVY+bfqmkeVXrPEqjmf2L6b2aeq1RGm9bkQwd1M2sHHpwklKP0mhm1kjv1dTbrse+18zM6qjcKG1DP3VJoyVF1TK9QfqhNdKHpL2bHGf9oqdXtd/getvq1tQlXb48BwNOjognlnNfM7Pl195q6jRgZO794gL77A38Nff++SbpH5b0Q+D7ETG1UUJJqwMHAMcDVwOn10rXqPnlk8B0YGGTQuVtDFwAOKibWWe1v/fLooioWzuvY06L++wKnA3cL+ke4PekL4VZpNi7DjAM2AF4L2kosrOB8+pl2KxNff+IuLNIySStDLxcJK2ZWdu1v5/6MEnPkOLaZOBrEfFok31+JWk14G/A+RFxdaPEEXEX8D5J2wJHAvsBX6xKtiA7/vHAFRFR3f1xKY2C+njghcblX8ribJ8XW9jHzKw9WgvqAyVNyb0fExFjcu8nA6OAqcAg4CRgoqStImJOjfzmAf8F/JE08cWHgKskHR4RP21WmIi4G/gcgKRBwAakR/PmAI9HxCtFT6xuUI+IPYtmkqUPoKV9zMzaqnib+uyIGF5vY0TckH8vaRLwKHA4NZo+ImI28O3cqimSBpJq102DelVeM4GZreyTV/cSSNquaCaSLl7eApiZtUUbe79Ui4h5wP3A5i3sNrmV9JIWS9qhzrbtJBW5Udvwe+1GSVsXKMilZD8bzMy6pnKjtMjSatapnXxL4LkWdtumxfSNRmdciYLjwTRqU38KuFnSrhExbZmjSwIuBz4BnFzkYGZmfapNN0olnQv8FniS1KZ+MmmMtMuy7WcCO0TE+7L3hwOvAH8m9VD5IPAF4KsFjjWAJQF9QPY+b3VgH2B2kbI3Cup7kMYgGC9pt4h4JFeIlYCfAR8Fjo+Ic4sczMysz7R3mIAhwM+BgaTuhZOAnXLP4KwPbFa1z0nAJqROIw8Bn252k1TSqcAp2dsg3Wit53tFCt7oRukcSe8lDTgzPquxPynpdcAvSXd3vxwRFxU5kJlZn2tTTT0iDm6yfVTV+8vIavEtmpC9ihTcLwWerkqzEHgAuL5Ihg37qUfETEnvI9XYb5G0D/AdYC/gsxFxSeGim5n1pR4cTz0ibiMblVFSAJdExLMrkmfTAb0i4hlJu5Nq7PeTLt2oiPjJihzYzKzteng0q4g4DV5rY38bsB4wJSJeaiWfRl0aP11ZSP3Pf0b6ErgJeF1+e5amqWaD5CgZLelZSfMlTZC0VVUeq0q6SNJsSS9Juk7SkALHPlDSA5IWZq8HFCmzmfUIAasUXPopSV8gDc9yD3ALsEW2/lpJXyqSR6Oa+g/rrN8nW/IC+FGRA9J4kJzjgeNIT3JNI7UxjZO0Re7R2AuADwOHkJ62Og+4XtJ2EVGzH6ekEcBVwKnAr4CPAL+U9J6ImFyw3GbWn/XgeOp5ko4ELiTF0puAX+Q2/x44kNT83VCjoL7pihSwgZqD5GRdJI8BzoqIa7J1h5OerPo48ANJawNHAJ+KiHFZmkNJA4jtAdxY55jHALdGxBnZ+zOyJqVjSF8OZtbrerBNvcp/At+OiK9mPQzzpgJfKZJJo94vfTXSYr1BcjYFBpO+oSplmC/pduDdwA+A7UiPDuTTPCXpwSxNvaA+AqjupXMjyw6cY2a9rIdr6qQYWC+GvQS8sUgmnZ75qO4gOaSADjCjap8ZwIbZvweTmmuqO+HPyO1fy+A6+Tbax8x6Se/X1GcDQ+ts2wJ4pkgmjW6U3iJpy6KlkTQg26fuWAcRcUNE/CIi7omIm0nDTA4gDZLzWrLqrGusW+bwBdK0lK+koyRNkTRl1qxag7KZWb/TR2O/dMhvgVMkDcuti2xgsGOBa4tk0ujHykhgzRYKpFb3qRokp9LOXl17HsSSWvZ00kcysEGaWqY3ybdW2cZExPCIGP6mN63XIGsz6xf6cOyXDjmJ9KDRfcDNpErnd4AHSS0UXy+SSbMWqGslPVpkIQ0KX2jAmYqqQXIeIwXfPau27wJMzFbdRRpfIZ9mCPDWXJpa7mDZYYH3bLKPmfWSPhylsROycdqHA2eSvnoeITWRXwyMiIhC81s0alNfnkdeocGgM40GyYmIkHQBcKKkqaSxE04iDT7/M4CIeCEbFfIcSTNZ0qXxHtI3W+U444E7I+KEbNWFwO2STgB+TZrnb3dg5+U8RzPrj3r7RilZ1+1vZMtyadT75VPLm2kDzQbJOZs0Itl3SXPzTQb2qpq+6VjSzCJXZWnHA4dV9VHfjDTKZOVcJko6mDRR62mkb8CD3EfdrER6/0ZpW3S090uBQXICGJ0t9dIsAI7OlnpphtZYdzVpBm4zK6seq6lLuqWF5FEZ6reRTndpNDPrG5VhAnrLAJa+F7kFqVPH46SOHP9G6ub4HOkp+6Yc1M2sHHpwmICIGFn5t6T9Sff/doqIO3PrdyQ1N19YJM8euwRmZg30cO8X0s3Rk/MBHSC79zeadE+wKdfUzawcev9G6eakDiS1zATeXCSTRk+UPirpnctRMDOz7hhQcOmfHgM+W2fbZ0nt7E01qqkPBVZtqUhmZt3S+zX104ArJN1H6qlXuVH676SHND9RJBM3v5hZOVSGCehREXGlpNmk4H4C6WxeAf4EvD8ixhfJp1lQb+mxfzOzrun9mjrZQIc3Z1PaDQRmR8SrreTRLKifln1zFChLHN48mZlZH+q/7eUtyQL5zOXZt1lQ34Y0aljTMizPwc3M2qYHa+qSjgW+nz0pX3SfbYFBEfF/tbY3C+r7V/eZNDPrt3osqAOHAV+VNBb4eUT8tVYiSeuQ5p84lDQQ4ah6GfpGqZmVQw8+UQpsSwrUxwHHS3oRuJfUX30haWDDYaRBCheSnix9W0Q8Xi/D3rsEZma1tHGSDEmjJUXVMr35niBpc0lzJc1rljaSyyPinaS5lM8H5pIC+btIkw79Hvg0sEFEfKpRQAfX1M2sTNrb/DKNNJtbxeI66V4jaRXgSuB2YLdWDpYNB7DCw4E3Gk/dtXgz6x3tv1G6KCIK1c5zvkWatOc2Wgzq7eKaeiErAW/odiEKKjxXeP+w7bhul6AlW27R7RIUd1ShgVr7jzPakUl7q6LDJD0DvEyqQX8tIh6tl1jSvqSbmdsCB7ZyIEmDgH2AtwHrZqufBx4AboiIwt0bHdTNrBzaW1OfTOphMpU09eZJwERJW2VziS59aGl94BLgIxExV1Khg2QPGZ1BmtFtFeCfwN9JZ/NG4PXAy9lUnydkEwk15KBuZuXQ2jABAyVNyb0fExFjKm8i4oalspYmAY8Ch5PmRa72U1J/80mtFJk0HMAxpMD+k+qboJI2IfWOOZF0A7XpDxoHdTMrh9Zq6rMjYnjRxBExT9L9pOFxa3kvsJukU3OlGSBpEfD5/BdGlSNJNfAL6hz3CeB0SS8BX8ZB3cz+pfRR9w5Jq5FuWN1aJ8nWVe8/TKpd7wA80yDrfwP+XKAId2dpm3JQN7NyaGObuqRzgd8CT5La1E8G1gAuy7afCexQmQg6Iu6r2n848Gr1+hoeBA4m9ZZp5BBS+35TDupmVh7tu1E6BPg5aaTEWcAk0tyhT2Tb1yc95bmivg5cLWkLUrv8/aQbpUHqBbMVaRz13UjjqjfloG5m5dDGYQIi4uAm20c12T4WGFvgONdmXSHPBH7IsoMjCvgr8MHqm7f1OKibWTn06CQZEXEjcKOkIaSa+bqks3keuD8inmolPwd1MyuP3hul8TUR8TTw9Irm46EAzKwcKjdKiyw9RtJASbsWSeugbmblMaDg0nt2o353yqW4+cXMyqEHZz7qCw7qZlYePRbUJf2oYNJNiubpoG5m5dCbvV9GAS8AzSbUWL1ohg7qZlYOvTmd3ZPATRFxVKNEkv6dNJVdUw7qZlYePdb8AkwBigws1nTI3Yre+14zM6ulN7s0XgfMLpDuAdKQAk11PKhLWl/SZZJmSVog6QFJu+W2K5v09VlJ8yVNkLRVVR6rSrpI0mxJL0m6Lnsaq9mxD8yOtzB7PaAvztHMuqTHujRmk07vVSDdgxFxWpE8O3p6kt4I/JH0nbov8FbgaCA/VdPxwHHZ+u2zbeMkrZlLcwFpuqhDgF2AtYDrJdX9DpY0gtQmdQWwTfb6S0k7rviZmVnXDSDNHVRkKbFOt6kfDzwXEYfl1j1W+YfSHFDHAGdFxDXZusNJgf3jwA8krQ0cAXwqIsZlaQ4FngD2AG6sc+xjgFsjojLI/BmSds/WH9KOkzOzLutHtfBu6fQl2B+YLOkqSTMl/UXSF7VkQr9NgcHATZUdImI+cDvw7mzVdqSOS/k0T5HGJa6kqWVEfp/MjU32MbNe0Ztt6q+R9KqkxXWWRZLmSBonqWFzTaeD+jDg86S5/t4PXAicBXwh2z44e51Rtd+M3LbBwGKWvbmQT1PL4Cb5LkXSUZKmSJoya1aR+xhm1nU91qZe5RvAU6Tx28cC3yJNyjGLNNDXT4A3ATdI2q9eJp1ufhkATImIE7L3f5a0OSmoX5xLV2tM4WZdeoqkKZxvNqfgGIDhw7ct3J3IzLqk94cJWEBqjt4nIhZUVkpaHbiBFNy3BX4HfA24vlYmnf7Oeo7UNSfvQWDj7N/Ts9fq2vMgltSyp5M+uoEN0tQyvUm+Ztbrerj5BfgP4Px8QIfXmqDPB/4jIl4lTabxjnqZdDqo/xHYomrdW0g3OSF9S00H9qxszCZ83QWYmK26C3ilKs0QUk+aSppa7sjvk9mzyT5m1isqwwQUWfqnQdQv3SrAetm/Z5POtqZON7+cD0yUdCKpe+G7gC+RfkoQESHpAuBESVOBh4CTSOMi/CxL84KkS4FzJM0E5gDnAfcAN1cOJGk8cGeuqedC4HZJJwC/Bg4Adgd27tMzNrPO6P3mlynAaEkTI+K5ykpJGwCnZtshDe71bL1MOhrUI+JPkvYHvkmanfvJ7PV7uWRnkwav+S6wDjAZ2Csi5ubSHAssIn0xrA6MBw6LiMW5NJuRbjpUjj1R0sHA6cBpwCPAQRExuZ3naGZd1H9vghbxZVIse0zSHaSu3INIPff+CXwyS/dmskpuLR0f+yUifkdq6K+3PYDR2VIvzQLSw0lHN0gztMa6q4GrCxfWzHpHj9fUI+JuSW8mPXy5I7A16T7kt4HzImJOlu6URvl4QC8zK4/erqmTBe6vrUgeDupmVg6VYQJ6nKR1SU0u65Juik6OiOeL7u+gbmbl0eM1dUmnk5pfVs2tXijp3Ig4uUgeDupmVh71x/Srsrh5kg6TdAyp6eVS4Kcsebbmk8DXJM2KiO80y8dB3cxKQhQPaf0vqJMeProwIo7NrZsG3CZpHmmIlaZBvcd/rJiZVVSCepGlSU5pToeoWqY3SP82SbdKmpHNE/GopG9KaqWVfyj1ewb+LtvelGvqZlYSrdTUC5kGjMy9b1S9f5k0+NafgX8A7wQuyQp0fMHjzQHeTu4hypytsu1NOaibWUkIWK1g2heKJFoUEXVr53kR8TDwcG7VE5JGkoY4KerXwDckzQGujIhXJK0MfJQ0ld1lRTJx84uZlUT7ml8ywyQ9I+kxSVdKGla4JOkhor2B24qXnxOAv5CC9z8lzQDmk2Zp+ysF+6+7pm5mJdFS88tASVNy78dkw21XTAZGAVNJj+qfRBq3aqvKk501SyBNJA2Puyqp+aXwg0QRMVfSrqSpPnclDZPyPOmL4YbsafumHNTNrEQKjxMwOyKG19sYETfk30uaRJrc53DSAIL1HASsSWpTPwf4KnBm0UJlgft66oyVXoSDupmVRNtvlL4mIuZJuh/YvEm6yiCCD0haCfihpHMiYlGt9JJepfnkPrnso+kJOqibWUn0XVDP5nXYEri1hd0GZAVaiTSqbC1fp3hQL8RB3cxKYgDFe780Julc4Lek4cEHkYYIX4OsB4qkM4EdIuJ92ftDSdPR3Uvq3jic1OxydUQsrHeciBjdlgLnOKgXMgB4Q7cLUdCO3S5Aa95zVbdL0JrjZna7BIWdPrrbJWjNGXWnfWhF20LaEODnpGkzZwGTgJ0iojJL2/qkORsqFpF6r2xO+snwBGlOiPPbVaCiHNTNrCTa1/wSEQc32T6q6v3PSV8CXeegbmYl0Xdt6r3EV8DMSsJBHXwFzKw0WhkmoLwc1M2sJFxTB18BMysNB3XwFTCz0nBQB18BMysNB3XwFTCz0nBQB18BMysNkUa8/dfmoG5mJeGaOvgKmFlpOKiDr4CZlYpDmq+AmZWEa+rgK2BmpeGgDr4CZlYa7Zsko5c5qJtZiTikDejkwSQ9LilqLL/LtkvSaEnPSpovaYKkraryWFXSRZJmS3pJ0nWShhQ49oGSHpC0MHs9oK/O08y6odL8UmQpr44GdWB70jRQlWVb0qSrv8i2Hw8cBxydpZ0JjJO0Zi6PC4ADgUOAXYC1gOuzmbtrkjQCuAq4Atgme/2lpB6b+83M6nNQhw4H9YiYFRHTKwvwAeBFUoAVcAxwVkRcExH3AYcDawIfB5C0NnAE8JWIGBcRdwOHAu8A9mhw6GOAWyPijIh4MCLOACZk682sFBzUofM19ddkQfwI4KcR8U9gU2AwcFMlTUTMB24H3p2t2g54XVWap4AHc2lqGZHfJ3Njk33MrKdUJskospRXN7+y9iQF8h9m7wdnrzOq0s0ANsylWQzMrpFmMPUNrpNvo33MrKe4SyN09wocCfwpIv5StT6q3qvGumpF0rSUr6SjgKMANt544yZZm1n3Cah7a+1fRleaXyQNAj4MXJJbPT17ra49D2JJLXs66VMb2CBNLdOb5LuMiBgTEcMjYvib3vSmBlmbWf/gNnXoXpv6KGAhcGVu3WOk4LtnZYWk1Ug9XCZmq+4CXqlKMwR4ay5NLXfk98ns2WQfM+spDurQhbPLbpB+BrgyIuZW1kdESLoAOFHSVOAh4CRgHvCzLM0Lki4FzpE0E5gDnAfcA9ycO8Z44M6IOCFbdSFwu6QTgF8DBwC7Azv35bmaWaeVO2AX0Y0rMBLYHPhkjW1nA6sD3wXWASYDe+WDP3AssIjU73x1YDxwWEQszqXZDHiq8iYiJko6GDgdOA14BDgoIia36ZzMrOs8TAB0IahHxK2k30m1tgUwOlvq7b+A9HDS0Q3SDK2x7mrg6pYKa2Y9pH29XySNBk6tWj0jImr2mJM0klTh3AFYG3gYuCAiftSWArXAv1XMrCTa3qVxGqlloWJxnXSQnnm5l9Ta8BzwfmCMpAUR8bN2FqoZB3UzK5G2hrRF2ZPvTUXEN6tWfV/S7qQhTToa1Lv2RKmZWXu1vffLMEnPSHpM0pWShrVYoLWAv7e4zwpzTd3MSqKl5peBkqbk3o+JiDG595NJXa+nkp5pOQmYKGmriJjTtCTSfsD7gPcULVC7OKibWUm01PtldkQMr7cxIm7Iv5c0CXiUNMjgeY0ylvQeUpPLlyLizqIFahcHdTMrkb4JaRExT9L9pO7YdUnaGfhf4JSI+H6fFKYJt6mbWUn03ROl2dPtW5J6ttRLsytwA3BaRFzQ8kHaxEHdzEqifUFd0rmSdpO0aTaZztXAGsBl2fYzsyfXK+lHkgL6/wBXSBqcLR0fOMrNL2ZWEm0dpXEI8HPS4IGzgEnAThHxRLZ9fdKT6xWjgNcD/5UtFU8AQ9tVqCIc1M2sJCqTZKy4iDi4yfZRNd6PqpW20xzUzawkPEkG+AqYWWk4qIOvgJmVhoM6+AqYWWk4qIOvgJmVikOa0hDm1oikWaSuSe02EJjdB/n2hV4qK/RWeXuprNB35d0kIpa7X7ek/2PZ+YvrmR0Rey/vsfozB/UukjSl0fgT/UkvlRV6q7y9VFbovfL+q/ETpWZmJeKgbmZWIg7q3TWmeZJ+o5fKCr1V3l4qK/Reef+luE3dzKxEXFM3MysRB3UzsxJxUDczKxEH9T4gaVdJ12UzkYekUQX22VrSbZLmZ/udIkkdKOsJkv4k6UVJsyT9VtLb+3F5vyDpnqy8L0q6Q9K+/bGsNcrxtez/w8VN0nXr2o7OypdfpvfHslp9fqa2b7wBuA+4PFsakrQWMA64Hdge2AIYC7wEfLvPSpmMBL4H/Ik0eMbXgZslvS0inu+H5X0a+CrwN1Kl5HDgWknbRcQ9/ays+XLsBBwJLFPGqnTdLu800v+JisX1EvaDslotEeGlDxdgHjCqSZrPAS8Cq+fWnQQ8Q9ZDqYPlfQPpD/mDvVDe7NjPA5/tr2UF1gYeAd4LTAAu7o/XFhgN3NdC+q5fWy/LLm5+6R9GAL+PiPm5dTcCG9DhqbCANUk14L83SNMvyitpJUkHk76IJtZJ1h/KOga4OiJuKZC22+UdljWjPCbpSknDGqTtdlmtBgf1/mEwMKNq3Yzctk66EPgLcEeDNF0tb9aOOw9YSJro94CIuLdO8m6X9UjgzcDJBXfpZnknk6Zk24fUVDQYmChpvTrp+9P/W8u4Tb3/qH4KTHXW9xlJ5wE7AztHRN221Ew3yzsN2AZ4I3AgcJmkkRFxX530XSmrpC2AbwK7RMTLLezalfJGxA1LHVSaBDxKum9xXr3dqt53/P+tLc1BvX+YzrI1m0HZa3VNqE9IOh84GNg9Ih5tkryr5c0C5MPZ2ymStgeOBY6okbybZR1BGgr2vlyHkJWAXSX9B7BGRCys2qfr/xcqImKepPuBzesk6TdltSXc/NI/3AHsIik/FfqewLPA4319cEkXAh8H3hsRUwvs0tXy1jAAWLXOtm6W9Vpga9KvisoyBbgy+3et2nu/ubZZGbYEnquTpN+U1XK6fae2jAvpxt022fJP4JTs3xtn288ExufSr02q9VwJvB34CKlXwXEdKOt3s2O9l1TrqixvyKXpT+U9C9iFdCNu66xsrwL79Ley1in/BHK9X/pTeYFzgd2ATYEdgeuzY2/S38rqpcHn2O0ClHEh9fONGsvYbPtY4PGqfbYm9fddQKoZnUoHuoXVKWcAo3Np+lN5x5JmoVoIzARuBt7fH8tap/zVQb3flDcLzs+SfkE8A1wDvK0/ltVL/cWjNJqZlYjb1M3MSsRB3cysRBzUzcxKxEHdzKxEHNTNzErEQd3MrEQc1M3MSsRB3TpO0ghJv5D0rKSXJc2RNE7S4ZJW6qNjjs3N5jMht35Ubv1bauw3Mrd9j9z6k3Lrn+6LMpstDwd16yhJxwB/BNYlzWC0B/Bp4CHg+8B+fXj46aRBtj5fY9tc4NAa6w/LtlX7cZbX/7atdGZt4FEarWMk7UoawvXiiPhS1ebfZEP/rtGHRVgYEZPqbPsV8ElJp0T2mLWk1UlD+15DGmf8NRHxDPCMpFl9WF6zlrmmbp3036Sp546vtTEiHoka84x2yE+ATUjjyVccQBoq95qulMhsOTioW0dkbeUjgZsiYkGXi1PLE6SBqfJNMIcBvybNM2vWExzUrVMGAquTgmd/dTnwUUmrSVqf1N5/eZfLZNYSB3XrtyStIelFSVdUrd9M0h8kPSTpz5KGt+mQvyRNtvFB4BOkG6vj25S3WUc4qFunzAHmk9qtizoI+Cuwr6R1cuv/hzQ2/VtI7fNXKDdf3PKKiLmk2YoOJTW9XBERr65ovmad5KBuHRERi0gTROwpqd7Uc9WOAL4N3EiqOSPpTcBOwGVZvuOytNu1qaiXA/uSJn9w04v1HAd166SzgPWAc2ptlLSppHdk/34rsBlpSrVLWTKp9MbAsxHxSm7XJ7L17TAO+AXwPxFxf5vyNOsY91O3jomI2yX9J3BeFrTHAk8C6wDvAz5DmgD7HlIQ/0lELJJ0M7CupHq18RVuesmVcTFwSLvyM+s019StoyLiAlJf8H+QJjq+hRTc3wp8FvitpNeR2rU/Lulx4FHSJMdHkL4ENsjSVGySrTf7l+eaunVcREwEJtbbLukA4MmI2D63blPgbuA44E7SE56XSNqTVFO/q8ixJa2cihCLs7KMJX2pNCrvBKp+DWQ3ZleqXm/Wba6pW390BOkJz9dExGPAfcBHgf8APiXpIVL7/Cei2AzqmwCv0J5uiidmeR3WhrzM2kbF/hbMepukoaQHoADmRsS0FcxvfWDD7O3LXRzewGwpDupmZiXi5hczsxJxUDczKxEHdTOzEnFQNzMrEQd1M7MScVA3MysRB3UzsxJxUDczK5H/BwPHtWFzUcMoAAAAAElFTkSuQmCC\n", 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\n", 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3JakncAtwA7BV/HqbpO3r9cKcc81VuFHqQb2BzOweM3vAzF41s0lmNhCYCfSUJOBEYIiZ3WFmLwJHAKsAhwJIWg04EjjFzEaa2TNAP+BrwB4VTn0i8IiZDTaziWY2GBgd051zOVC4UZpmy7OmdUFJ6ijpEGBlYAywEdAVeLCQx8zmAI8BO8akbQi/k2Set4CJiTyl9EweE42ocoxzLmO8pd6EG6WStgTGAp2AWUBfM3tBUiHATi06ZCqwXvy+K7CApdf/nRr3ldO1TLmVjnHOZYjfKA2aMfrlFUK/9uqEvvFrJfVO7C9eEFwl0oqlyVNTuZKOBo4G2CDtarbOuabKeys8jYZ/sJnZJ7FPfbyZDQCeA04CpsQsxa3ndVjcyp5C+L0VrwSezFPKlCrllqrnUDPrYWY91u5coWTnXEsotNTTbHnWCq+vA7Ai8AYh+PYp7JDUiTDCZUxMehr4tCjP+sDmiTyljE0eE/WpcoxzLkN89EvQ0O4XSUOA+4G3WDyqpTewr5mZpEuBgZJeBiYBZxD63W8EMLOPJF0DXCTpPWA6cDEwAXgocZ5RwJPxPwGAy4DHJA0A7gL6ArsBO7frC3bONYxPExA0uk+9K3B9/PoRIRjvbWYj4v4Lgc7AlcAawDhgTzObmSjjJGA+Ydx5Z2AUcLiZLUjk2YTwwQGAmY2JI23OBc4BXgMONrNxdX+FzrmmyXsrPI2GBnUz619lvwGD4lYuz1zCw0knVMjTvUTa7cDtqSrqnMscn6Ux8LlfnHO50Qo3CZvNr4FzLhfqeaO02jxVVY7dVNJMSbPa9EKWkQd151xu1HFIY7V5qkqStAJwM+FJ+Kbw7hfnXC4IWKFOZZnZPUVJAyUdR5hyZEKFQy+I+x8Fdq1TdWriQd05lwvtNU1AnAH2QBbPU1Uu377AfoTW/QHtUJVUPKg753KjhtEvXSSNT/w81MyGJjOUm6eqVGGSugF/BL5jZjPDpLPN4UHdOZcLNQ5pnGZmParkKTlPVZwWvNj1wO/N7In0VWgffqPUOZcb9Zz7pcI8VaV8Azhb0nxJ84FrgJXiz0e3+QW1gbfUnXO50IBpAgrzVJWyZdHP3wIGAtsB77RnpYp5UHfO5UI9nyitNE9V3H8+sJ2Z7Q5Q3CUjqQewsExXTbvyoO6cy4U6TxNQbZ6qboQ5plqOB3XnXG7U6yZhinmqqu0fBgyrU3Vq4kHdOZcLPqFX4EHdOZcbHtQ9qDvncsIXyQg8qKexHEuvcNqqDmp2BWrzpe83uwa1uWBhs2uQ3gUzq+dpJRq8jMfjD96AB3XnXI7koftFUldgXcLKbtOAN8zsk7THe1B3zuVClm+UxnHtPwL2Ar5QtPsTSU8BNwE3mNmMSmV5UHfO5UbWul9iMP810At4AfgL8CzwPjAHWBPYCNgeGAIMkXQh8Ju4tOdSPKg753Ihoy31RwmzOx5nZhMrZZTUiTD9wKmEz69flcrnQd05lwsZHf2yiZlNSZMxtsxvAW6R9Ply+TyoO+dyIYst9bQBvcRxU8vt86DunMuNrPWptwcP6s65XMhiS70gLlj9HcLolx0IQxo7AdMJi3U8CtxiZi9VK8uDunMuN7IW1CV9DjgF+AmwBjAReJKlR78cD5wh6XHgdDP7R7kyPag753IhozdKXwOmAGcBt5rZ9HIZJe0EHAaMkHSymV1VKp8HdedcLmS0++U4M7s7TcbYOv+HpEFA93L5PKg753IjazdK0wb0omOmAj76xTmXbxltqdedB3XnXG5kraUu6Zc1ZDczO7taJg/qzrlcyGhL/QzACNWvxgAP6s65z4aMjn6ZDSwEbgeGm9mjy1pg1v5bcc65sjqm3FrI5wlj1DcAHpL0hqRfSvpiWwtsalCXdLokk3RFIk2SBkl6V9IcSaMlfaXouBUlXS5pmqTZku6VtH6K8x0g6SVJ8+LXvu3xupxzjVfofslSUDezj83sOjPrQ3jI6CrCk6WTJI2VdJykNWops2lBXdIOwFHAhKJdpwInAycA2wLvASMlrZLIcylwAPA9YBdgVeA+SWV/X5J6EmY4uwHYKn69TdL2dXg5zrkW0CHl1orM7G0zG2JmXyXEvueA3wJX11JOU16fpNUIQfVI4L+JdAEnAkPM7A4zexE4AlgFODRx7JHAKWY20syeAfoBXwP2qHDaE4FHzGywmU00s8HA6JjunMu4LLbUS5G0HdAf+C7wKWHRjNSa9aE1FLjdzB4uSt+IsMTzg4UEM5sDPAbsGJO2IdwPSeZ5izBnwo6U1zN5TDSiyjHOuQzJaktd0oaSBkp6GXiC0JtwOtDNzM6tpayGj36RdBTwRULruljX+LX4aampwHqJPAsIC7IW5+lKeV3LlFvyGElHA0cDbLBqhVKdcy2hA7BCsytRI0k/IsTCnYDXCT0Yw83sjbaW2dCgLmkz4DxglyqrY1vxoSXSlio+RZ7U5ZrZUMJ/FPTopmrlOudaQCu2wqsYCswAhgOPx7TdJO1WKrOZ/alagY1uqfcEugAvhu5zIHRx9ZJ0LFAY5dIVeCtx3DosbmVPicd0IUxPmczzWIVzT2HpVnmyXOdchmX04SMIAz36x60SA1ouqN8NjC9K+zPwL0ILfhIh+PYBnoJFi63uQphzGOBpws2DPsCNMc/6wObAmArnHhuPuSiR1qfKMc65DMlgUN+o3gU2NKib2YfAh8k0SbOBD+JIFyRdChRuGEwiPEY7ixjAzewjSdcAF0l6j7AyyMWEoZEPJcodBTxpZgNi0mXAY5IGAHcBfYHdgJ3b47U65xpLZK/7xczerHeZrThNwIVAZ+BKwkog44A9zWxmIs9JwHzCuPPOwCjgcDNbkMizCYkuHDMbI+kQ4FzgHMLk9Aeb2bh2fC3OuQbJ6DQBdSczvwdYTY9usvFHNrsWKX2u2RWoUdb+Chc2uwI1mFk9SyvRYJ42sx5tPf7rko1Imbcby3auepE0vIbsZmZHVMvUii1155yrWUZvlPai+qi9glT5PKg753Ijg33q3etdpgd151wuZLSlXndZ+2BzzrmSsjj3S5xmd92itGWKyx7UnXO5UBj9kmarWpZ0vKQJkmbEbaykfSvk30LSI5KmSpor6XVJ50mqNnPBQGDRtOFxptlPJW2dopolefeLcy436thKfRs4jfBgZAfCbLF3S9rGzIqnCwf4BLiWMKPih8DXgT8SYuypFc5Tahm7NEvbleVB3TmXC/XsUzeze4qSBko6jjDVyVJB3cxeBV5NJL0pqTfhafiG8qDunMuN9ugvj10iBwIrk3Jakbgc3V7Ave1QpYo8qDvn8iNt/8tCukhKzkM1NM7MuoikLQlzRnUiTFXS18xeqFSspDHA1sCKhO6X01PUZn9JX028AgO+KWmr4oytOEujc861j1r6XxYyLcUTpa8QFqtYnbB85rWSehfmqSrjYMJKbV8nTB54GnB+lfMMLJF2Vom0lpyl0Tnn2kctk798Wj1LXPOh0E8+XtK2hHmnyk4aEldhA3gpdttcLekiM5tf5pBsz9LonHPtqn0HoXcgdKvUkn85Qq1KBvXPyiyNzjlXuzoOf5E0BLifMNNrYeH73sC+cf/5wHZmtnv8uR8wF3iBMLyxB6Hb5XYzm1efWqXjQd05lx/1G6jeFbg+fv2IMIxxb7NFE0F2I0zvXTAfGABsSvh4eZMwffgllU4i6R5gkJk9m6ZScdGgHwMfm9kfSuXxoJ5GR2C1ZlcipW2bXYEa9c7aqt5pBjO0itOaXYHaDF6mZ27q2lI3s/617Dezm4Cb2nCqfwNPSHqOsOj048CEZB98nEZgO2B/4DvAO8APyxXoQd05lw8ZXCXDzE6Iq72dCAwiNB9N0gxgHmGhoOUJr+7JmO86Mys7s78HdedcfrTSbF0pmdlrwAmSTiY8sbo9sC5hfPx04GXgsbQ3VT2oO+fyIYuLlCbEIZSPxq3NPKg75/Ijgy31evOg7pzLhwyukiGp1JOj5ZiZ/apaprJBvcYFUZPObI8B9c45V1X2ul8GFf1slJ56t7A+aduDOnAYMIVwBzatDYBLCWM0nXOucbI5+mXRx5CkLQizOg4FbgamAp8HvgccBeyXpsxq3S/fNrMn0xQkaTnCk1TOOdd4Gex+KXIFcLWZXZhI+zdwQVzi7kpg92qFVPpnZRThSaq0FsRjZtRwjHPO1UcWFyld0vbA+DL7ngJ2SFNI2Za6mfWppTZmZkBNxzjnXF1lr0896SNCDH2oxL49SdnIrnSjdBszezpNIZKuMLOfpMnrnHPtIvvdL38CBkhaGbiNxX3qBwFHA+elKaRSn/oISbulWOnjGqA/4EHdOdc8GbxRWuQswiiXE4FjY5qA2YSAPihNIZWC+lvAQ5J6mdkrxTslCRgOfB84M22tnXOu3WS4pR7nczlT0m+ALQkzQf6HMMFX6vublYL6HoTHVUdJ2jXOTwAsWoj1RsJirKea2a/b8Bqcc65+Mj5NQIGZfQj8va3HV7pROl3SN4DHCIG9l5n9W9LyhP6ebwI/M7PL23py55yrqwy31AHi0MXtCM/8dCreb2ZVHwqtOE7dzN6TtDuhxf6wpL2B3xLuxB5jZn9sS8Wdc67uMn6jND58dDdh8Y1yT5UuW1AHMLN3JO1GaLH/M56sv5ldV0uFnXOu3WW7++V3hJh8EGFZvDYtg1f2Ekj6YWEjjJ28MZ7wQWD55P6YpypJgyRZ0TYlsV8xz7uS5kgaLekrRWWsKOlySdMkzZZ0r6T1U5z7AEkvSZoXv/ZNU2fnXEYIWCHl1pq2Bn5uZneY2SQze7N4S1NIpZb61WXS945bkhHGWKbxCmEB14IFie9PBU4mDJF8hTDEZ6SkzcxsZsxzKfAtwnwI04GLgfviuPpkWYtI6gncApwN3ElYEuo2STuZ2biU9XbOtbLs3yidRh2mWqkU1Dda1sLLmG9mU4oT4xDJE4EhZnZHTDsCeI+wkvdVklYDjgR+YGYjY55+hAnE9gBGFJcbnQg8YmaD48+DY5fSiYQPB+dc1mW8T52wSPXxkh4o10BNo9Lol/aaaXFjSe8QPpHGAaeb2euED5GuhO6dQh3mSHoM2BG4CtiG8HhBMs9bkibGPOWCek+geJTOCPyBKefyJdst9bWBzYCXJI0EPijab2Z2drVCGr1IxjhC18rLwDrAGcCY2G/eNeaZWnTMVGC9+H1XQnfNtBJ5ulJe1zLlVjrGOZcl2W+pn5H4ftMS+43QhVxRpRulD0v6ctraSOoQjylVmVAjswfM7FYzm2BmDxHmB+4AHFFU8SWKLpG21OlT5KmpXElHSxovafz7s6uU7JxrDRmepdHMOlTZUtW80j8rvYFVaqiTaj3GzGYRhkluSliQA5ZuPa/D4lb2FMKvpEuFPKVMqVJuqboNNbMeZtZj7ZUqlOycaw2FuV/SbDlWrfvlbkm1jJWs1lpegqROwJeBR4A3CMG3D2Hu4ML+XYBT4iFPA5+yeIglcTjj5sCYCqcaG4+5KJHWp8oxzrksyX73CwCS9gN2BdYkjPB71MzuT3t8paB+bRvrVNzfvYikXwN/IazmsQ5hIrCVgGvNzCRdCgyU9DIwidDHNIsYwM3sozgr5EWS3mPxkMYJJOYgljQKeNLMBsSky4DHJA0A7gL6ArsBO7fxNTrnWlGGb5RKWgW4j9CQnU+Ib2sBJ0v6O7Bf7N2oqNLolx/Uqa5J6wM3EbpP3geeAHZIjLS5EOhMWLZpDcKN1T0TY9QBTiK84Fti3lHA4UVDgDYhzDJZeC1jJB0CnAucA7wGHOxj1J3Lkey31M8jPIDUD7jZzBbEyRMPAX4f9/+0WiENHf1iZodU2W+EOYMHVcgzFzghbuXydC+Rdjtwe7qaOucyKcMtdeAA4Awzu6GQEBurN0jqQng4s7WCunPOtZvCNAHZtRbwUpl9L8X9VWX7c8055woK0wSk2VrTG4Rh3qXsE/dX5S1151x+ZLtP/SrgN3GN0hsIqx51JfSp/wj4vzSFeFB3zuVDxm+UmtklktYmDAbpH5NFmIJ3iJldlqacskFd0utAXzN7fhnr6pxzjdG6XSupmNnpki4CdiCMU/8AeMLM/pu2jEot9e7AistUQ+eca5SMt9QLYgB/oK3HZ/xzzTnnooxPEyDpNEkl13yW9FtJp5TaV6xaUK/psX/nnGuaQks9oxN6AT8gPB1fynNxf1XVbpSeI6nsY/8JZmZHVM/mnHPtqE59D5KOB44hdENDmHjw3HJzsEjqTbjBuR2wGvAqcKmZpV0RDmAD4F9l9r0ObJimkGpBfSvSLX7qLXrnXHPVt0/9beA0QpAtTA9+d1w2s1RrekfCYtEXEoYi/i8wVNJcM7sx5Tk/ZvHaEcXWJ+VC1NWC+rfN7MmUFXLOueaqU1A3s3uKkgZKOo6witpSQd3MzitK+n1cMvMA4oSEKfwdOEXS7Wa2KIBLWpGwdvPf0xTi49Sdc/nQTgtPx0m1DgRWprbpulcltPjTGhTLnyTpeuAdQsv9MMIUAf3TFOJB3TmXD4XRL+l0kTQ+8fNQMxu6RHHSloS1GDoRpgDva2YvpKpKmBN9d2CntBUys+dj6/7XhK6fDsBC4HHggLTPDHlQd87lR/rul2lm1qNKnlcI9xVXJ3SjXCupt5m9WOkgSTsRulx+Wmv3dczfS1JnwvTj/zWzObWUUWk+dR/D7pzLjjo/fGRmnxBGsQCMl7QtYYTLkWWrIO0M/BU4y8x+vwznngPUFMwLvKWe1sJmVyClmdWztJQZM5pdg9qs+s9m16AGr1bPkjft2xTtQIWn7CX1Au4HBpnZpWkKlHQS8Pu4TkQqkrYG1jGzv5WrpHPOZV8dHz6SNETSLpK6S9pS0vlAb8LsiUg6Py6bWcjfm/Bo/x8Ii1p0jdvaVU51ODA5nu/rFeqzhqR+kh4k9LGvWi6vt9Sdc/lQ243SaroC18evHxGGMe5tZiPi/m6EZTML+gOfA34et4I3WfwAUymF5etOBk6VNIMw3v19wrj0NYCN47nmEZbx3MLMJpcr0IO6cy4f6tinbmb9a9kff654TJlyDBgODJe0PbAXsD0hkHciLD79d2AwcI+ZfVitTA/qzrn8yHCHspmNA8Ytazke1J1z+ZCTqXeXlQd151x+ZDSoS1oH2BvYgrA4BoQFMl4CHjCz99KW5UHdOZcP7TRNQHuS1IHQX34SsAJhUq//El7N6oSbr59IuhQYEPvgK/Kg7pzLh/qOfmmUAcCJhMB+XfGoFkkbEkbHDCQ8hTK4WoEe1J1z+ZG97pejCC3wS0vtNLM3gXMlzQZ+hgd159xnRjZvlH4eeDZFvmdi3qoy1gPlnHMVdEi5tY6JwCEp8n0PeDlNgd5Sd87lQzZb6r8Ebpe0GeEJ1n8SbpQaYRTMV4DvA7sC301ToAd151x+ZCyom9ndkvYFzgeuZumlQQU8D+xvZg+kKdODunMuH7I5+oU4n8wISesTWuZrEl7NB8A/zeytWsrzoO6cy4cMjlNPMrO3qW35u5IyfAmcc65InabebTWSusT52qvylrpzLh+yeaM0rV2BW0nxChveUpfUTdK1kt6XNFfSS5J2TeyXpEGS3pU0R9JoSV8pKmNFSZdLmiZptqR7Y39UtXMfEM83L37t2x6v0TnXJNkb0lh3DW2pS1od+Adh5Y59CRPBbwwkJ6s5lTBhfH/Cwq9nASMlbWZmhcXaLgW+RRi7OR24GLhP0jZmtqDMuXsSJpg/G7gT+A5wm6Sd4pSXzrks60CYPSVDJP0pZdYN05bZ6O6XU4H/mNnhibQ3Ct9IEmEehCFmdkdMO4IQ9A8FrpK0GmHh1x+Y2ciYpx9hhZE9gBGUdiLwiJkVHrMdLGm3mP69erw451yTZa8V3p+wstKsKvk6py2w0Zfg28A4SbdIek/Sc5J+EoM5wEaE5aMeLBwQV9V+DNgxJm1DGLiUzPMW4cmsQp5SeiaPiUZUOcY5lxV1XKO0gf4N3GZmX6i0AcemLbDRQX1j4MfA68D/ApcBQ4Dj4/6u8evUouOmJvZ1BRYA0yrkKaVrlXKXIOloSeMljX9/doVSnXOtI3t96uOBHinyVZ1yt6DRL68D8IyZDTCzZ83sz8BvWRzUC0o9VVXtRaXJk7pcMxtqZj3MrMfaK1Up1TnXfNlsqd/L0g3UUl4iTClQVaOD+n8IlUuaCGwQv58Svxa3ntdhcSt7CuHX0qVCnlKmVCnXOZd1GQvqZjbczPZMkW+imZ2TpsxGB/V/AJsVpX2JcJMTwk3TKUCfwk5JnYBdgDEx6Wng06I86wObJ/KUMjZ5TNSnyjHOuawoTBOQZsuxRo9+uQQYI2kgYXjh/wA/BU4HMDOLyzYNlPQyMAk4g3Bn+MaY5yNJ1wAXSXqPxUMaJwAPFU4kaRTwpJkNiEmXAY9JGgDcBfQFdgN2btdX7JxrjHw/fJRaQ4O6mT0l6dvAecCZhDu/ZwK/S2S7kDB850pgDWAcsGdijDqE9fzmEz4YOgOjgMOLxqhvAiyaCMfMxkg6BDgXOAd4DTjYx6g7lyOtdRO0JpIWUv6+oBGGPj4DXGRmxSP5Fmn4NAFmdj9wf4X9BgyKW7k8c4ET4lYuT/cSabcDt6eurHMuO7LfUv8VcATQiRAjC6Pz9gHmAncDvYEHJH3LzO4rVYjP/eKcy48Mt9QJgfsNYO/YcAVAUmfgAcIT+FsTAv7pQMmgnu1L4JxzBYVpAtJsrelY4JJkQIdFD2BeAhxrZgsJi2l8rVwh3lJ3zuVHtpup61B+bM4KwFrx+2mEzqaSsn0JnHMuSR3Tba1pPDBIUrdkoqR1CRMRjo9JGwLvlivEW+rOuZwQ6UNayclcm+1nhJF8b0gaS5jIcB3CvFUfA4fFfF8kDvEuxYO6cy4nagnq89qzIm1iZs9I+iJh6vHtgS0JT+H/BrjYzKbHfGdVKseDunMuJ2oJ6q0pBu7Tl6WMbF8B55xbRIQh3ml81J4VWSaS1iR0uaxJuCk6zsw+SHu8B3XnXE5kv6Uu6VxC98uKieR5kn5tZmemKSPbV8A55xbJdlCXdCKh6+Ua4HoWzyx7GHC6pPfN7LfVysnuFXDOuaW07HDFNI4FLjOzkxJprwCPSppFWGCoalD3cerOuZwotNTTbFVKko6XNEHSjLiNlbRvhfydJA2Lx3wqaXQbXkB3ys+LdX/cX5UHdedcTtQvqANvA6cR5lrpATwM3C2p3OP5HQlzt1xBhQkLq5gOfLXMvq/E/VV594tzLic6kH70S2Vmdk9R0kBJxxFGpUwokX82cXHoGPhXb8Np7wJ+JWk6cLOZfSppOeBAwlJ216YpxIN6GkZYaykLUn2Wt5B/NbsCNdrmhmbXoAbzm12BJqh/SJPUkRBYV6Z9V0obAHydELz/JOkDwrDGjsDjpBy/7kHdOZcTNY1+6SJpfOLnoWY2dInSpC0Jy2B2Iqy+1tfMXqhHTUsxs5mSegH7Ar0IiwR9ADwKPBDXmqjKg7pzLidqCurTzKxHlTyvAFsRulIOAK6V1NvMXmxrDauJgfs+ysyVnoYHdedcTtR3nLqZfQK8Gn8cL2lbwlKaR9brHFWWsCtRJav6Aj2oO+dyopZpAtqkA0s+6VkPvyR9UE/Fg7pzLifq11KXNIQwNPEtYBXgUML6oPvG/ecD25nZ7oljtiAsZtEFWFnSVgBm9ly585jZoLpUOMGDunMuJ+ra/dKV8Kh+V8LsXxMIa4eOiPu7AZsUHfNXwgIWBc8mKtYwHtSdczlRv6BuZv1r3W9m3ety8mXkQd05lxPZntCrXvwKOOdywoM6+BVwzuWGqP/glOzxoO6cywlvqYNfAedcbnhQB78Czrlc8ZDmV8A5lxPeUge/As653PCgDn4FnHO5Ub9FMrLMg7pzLkc8pDV0jVJJkyVZie3+uF+SBkl6V9IcSaMlfaWojBUlXS5pmqTZku6VtH6Kcx8g6SVJ8+LXvu31Op1zzVDXNUozq9ELT29LmAinsG1NmHby1rj/VOBk4ISY9z1gpKRVEmVcSpiw/nvALsCqwH1xyamSJPUEbgFuIEx6fwNwm6Tt6/S6nHNN50EdGhzUzex9M5tS2IB9gBmEACvgRGCImd0RVxc5gsXTXiJpNcIE9aeY2UgzewboB3wN2KPCqU8EHjGzwWY20cwGA6NjunMuFzyoQ+Nb6ovEIH4kcL2ZfQxsRJjm8sFCHjObAzwG7BiTtgGWL8rzFjAxkaeUnsljohFVjnHOZUphkYw0W3418yOrDyGQXx1/7hq/Ti3KNxVYL5FnATCtRJ6ulNe1TLmVjnHOZYoPaYTmXoGjgKdKrApSvLSTSqQVS5OnpnIlHQ0cDbDBalVKds61AAFlb619ZjSl+0XSOsC3gD8mkqfEr8Wt53VY3MqeQvitdamQp5QpVcpdipkNNbMeZtZj7ZUqlOycaxHepw7N61PvD8wDbk6kvUEIvn0KCZI6EUa4jIlJTwOfFuVZH9g8kaeUscljoj5VjnHOZYoHdWjCq4s3SH8E3GxmMwvpZmaSLgUGSnoZmAScAcwCbox5PpJ0DXCRpPeA6cDFhPUDH0qcYxTwpJkNiEmXAY9JGgDcBfQFdgN2bs/X6pxrtHwH7DSacQV6A5sCh5XYdyHQGbgSWAMYB+yZDP7AScB8wrjzzsAo4HAzW5DIswlhFXAAzGyMpEOAc4FzgNeAg81sXJ1ek3Ou6XyaAGhCUDezRyizuraZGTAobuWOn0t4OOmECnm6l0i7Hbi9pso65zLER7+AXwHnXG54UAe/As65XPGQ5lfAOZcT3lIHvwLOudzwoA5+BZxzueGjX8CDunMuVzyk+RVwzuWEd7+AXwHnXG54UAe/As653PBZGsGDunMuNwqLZHy2eVB3zuWEd7+AXwHnXG54UAe/As653PCgDn4FnHO54UEd/Ao453LFQ5rCFOauEknvA2+2Q9FdgGntUG57yFJdIVv1zVJdof3qu6GZrd3WgyX9jaXXLy5nmpnt1dZztTIP6k0kabyZ9Wh2PdLIUl0hW/XNUl0he/X9rGnWwtPOOefagQd155zLEQ/qzTW02RWoQZbqCtmqb5bqCtmr72eK96k751yOeEvdOedyxIO6c87liAd155zLEQ/q7UBSL0n3SnpHkknqn+KYLSU9KmlOPO4sSWpAXQdIekrSDEnvS/qLpK+2cH2PlzQh1neGpLGS9m3Fupaox+nx/XBFlXzNuraDYv2S25RWrKsrz5+pbR8rAy8Cw+NWkaRVgZHAY8C2wGbAMGA28Jt2q2XQG/gd8BRh8oxfAg9J2sLMPmjB+r4NnAb8i9AoOQK4W9I2ZjahxeqarMcOwFHAUnUsytfs+r5CeE8ULCiXsQXq6koxM9/acQNmAf2r5DkOmAF0TqSdAbxDHKHUwPquTPhD3j8L9Y3n/gA4plXrCqwGvAZ8AxgNXNGK1xYYBLxYQ/6mX1vflt68+6U19AT+bmZzEmkjgHWB7g2uyyqEFvB/K+RpifpK6ijpEMIH0Zgy2VqhrkOB283s4RR5m13fjWM3yhuSbpa0cYW8za6rK8GDemvoCkwtSpua2NdIlwHPAWMr5GlqfWM/7ixgHvAHoK+ZvVAme7PrehTwReDMlIc0s77jgP7A3oSuoq7AGElrlcnfSu9bF3mfeusofgpMZdLbjaSLgZ2Bnc2sbF9q1Mz6vgJsBawOHABcK6m3mb1YJn9T6ippM+A8YBcz+6SGQ5tSXzN7YImTSk8ArxPuW1xc7rCinxv+vnVL8qDeGqawdMtmnfi1uCXULiRdAhwC7GZmr1fJ3tT6xgD5avxxvKRtgZOAI0tkb2ZdexKmgn0xMSCkI9BL0rHASmY2r+iYpr8XCsxslqR/ApuWydIydXWLefdLaxgL7CIpuRR6H+BdYHJ7n1zSZcChwDfM7OUUhzS1viV0AFYss6+Zdb0b2JLwX0VhGw/cHL8v1XpvmWsb6/Bl4D9lsrRMXV1Cs+/U5nEj3LjbKm4fA2fF7zeI+88HRiXyr0Zo9dwMfBX4DmFUwckNqOuV8VzfILS6CtvKiTytVN8hwC6EG3FbxrotBPZutbqWqf9oEqNfWqm+wK+BXYGNgO2B++K5N2y1uvpW4ffY7ArkcSOM87US27C4fxgwueiYLQnjfecSWkZn04BhYWXqacCgRJ5Wqu8wwipU84D3gIeA/23Fupapf3FQb5n6xuD8LuE/iHeAO4AtWrGuvpXffJZG55zLEe9Td865HPGg7pxzOeJB3TnncsSDunPO5YgHdeecyxEP6s45lyMe1J1zLkc8qLuGk9RT0q2S3pX0iaTpkkZKOkJSx3Y657DEaj6jE+n9E+lfKnFc78T+PRLpZyTS326POjvXFh7UXUNJOhH4B7AmYQWjPYAfApOA3wP7tePppxAm2fpxiX0zgX4l0g+P+4r9OZb117rVzrk68FkaXcNI6kWYwvUKM/tp0e574tS/K7VjFeaZ2RNl9t0JHCbpLIuPWUvqTJja9w7CPOOLmNk7wDuS3m/H+jpXM2+pu0b6BWHpuVNL7TSz16zEOqMNch2wIWE++YK+hKly72hKjZxrAw/qriFiX3lv4EEzm9vk6pTyJmFiqmQXzOHAXYR1Zp3LBA/qrlG6AJ0JwbNVDQcOlNRJUjdCf//wJtfJuZp4UHctS9JKkmZIuqEofRNJj0uaJOlZST3qdMrbCItt7A98n3BjdVSdynauITyou0aZDswh9FundTDwPLCvpDUS6X8gzE3/JUL//A1KrBfXVmY2k7BaUT9C18sNZrZwWct1rpE8qLuGMLP5hAUi+kgqt/RcsSOB3wAjCC1nJK0N7ABcG8sdGfNuU6eqDgf2JSz+4F0vLnM8qLtGGgKsBVxUaqekjSR9LX6/ObAJYUm1a1i8qPQGwLtm9mni0Ddjej2MBG4F/mBm/6xTmc41jI9Tdw1jZo9J+j/g4hi0hwH/BtYAdgd+RFgAewIhiF9nZvMlPQSsKalca3yZu14SdVwAfK9e5TnXaN5Sdw1lZpcSxoJ/SFjo+GFCcN8cOAb4i6TlCf3ah0qaDLxOWOT4SMKHwLoxT8GGMd25zzxvqbuGM7MxwJhy+yX1Bf5tZtsm0jYCngFOBp4kPOH5R0l9CC31p9OcW9JyoQq2INZlGOFDpVJ9R1P030C8MduxON25ZvOWumtFRxKe8FzEzN4AXgQOBI4FfiBpEqF//vuWbgX1DYFPqc8wxYGxrMPrUJZzdaN0fwvOZZuk7oQHoABmmtkry1heN2C9+OMnTZzewLkleFB3zrkc8e4X55zLEQ/qzjmXIx7UnXMuRzyoO+dcjnhQd865HPGg7pxzOeJB3TnncsSDunPO5cj/AxIXWSKhwamoAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fixed = {}\n", "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" @@ -2327,7 +510,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 6, "id": "flush-diameter", "metadata": {}, "outputs": [], @@ -2347,7 +530,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 7, "id": "separate-leone", "metadata": { "scrolled": true @@ -2376,8 +559,8 @@ " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", "This is the 1 run out of 8 run.\n", - "The code has run 1.1489 seconds.\n", - "Estimated remaining time: 8.0423 seconds\n", + "The code has run 1.0615 seconds.\n", + "Estimated remaining time: 7.4307 seconds\n", "=======This is the 2 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -2396,8 +579,8 @@ " [-0.11449466 0.93979064 -0.26124531 0.18824295]\n", " [-0.97629459 -0.12205064 0.09700365 0.15014259]]\n", "This is the 2 run out of 8 run.\n", - "The code has run 2.5107 seconds.\n", - "Estimated remaining time: 7.5320 seconds\n", + "The code has run 2.3788 seconds.\n", + "Estimated remaining time: 7.1365 seconds\n", "=======This is the 3 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -2416,8 +599,8 @@ " [-0.11564575 0.93931165 -0.24953529 0.20506544]\n", " [-0.97604291 -0.12366286 0.1056243 0.14453799]]\n", "This is the 3 run out of 8 run.\n", - "The code has run 3.6844 seconds.\n", - "Estimated remaining time: 6.1406 seconds\n", + "The code has run 3.5011 seconds.\n", + "Estimated remaining time: 5.8352 seconds\n", "=======This is the 4 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -2436,8 +619,8 @@ " [-0.11334433 0.93990695 -0.25714446 0.19391937]\n", " [-0.9764949 -0.12087888 0.10003314 0.14778155]]\n", "This is the 4 run out of 8 run.\n", - "The code has run 5.0443 seconds.\n", - "Estimated remaining time: 5.0443 seconds\n", + "The code has run 4.7998 seconds.\n", + "Estimated remaining time: 4.7998 seconds\n", "=======This is the 5 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -2456,8 +639,8 @@ " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", "This is the 5 run out of 8 run.\n", - "The code has run 6.2027 seconds.\n", - "Estimated remaining time: 3.7216 seconds\n", + "The code has run 5.8875 seconds.\n", + "Estimated remaining time: 3.5325 seconds\n", "=======This is the 6 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -2476,8 +659,8 @@ " [-0.15101642 0.93281443 -0.28759296 0.15601783]\n", " [-0.96868804 -0.16138812 0.0783162 0.17165062]]\n", "This is the 6 run out of 8 run.\n", - "The code has run 7.6074 seconds.\n", - "Estimated remaining time: 2.5358 seconds\n", + "The code has run 7.3013 seconds.\n", + "Estimated remaining time: 2.4338 seconds\n", "=======This is the 7 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -2496,8 +679,8 @@ " [-0.16881879 0.92224221 -0.27956296 -0.20691563]\n", " [-0.96260006 -0.18923803 -0.14127113 0.13278769]]\n", "This is the 7 run out of 8 run.\n", - "The code has run 8.7830 seconds.\n", - "Estimated remaining time: 1.2547 seconds\n", + "The code has run 8.3791 seconds.\n", + "Estimated remaining time: 1.1970 seconds\n", "=======This is the 8 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", @@ -2516,9 +699,9 @@ " [-0.12621181 0.9355106 -0.23310991 0.23355998]\n", " [-0.97365721 -0.13661713 0.11824874 0.13908499]]\n", "This is the 8 run out of 8 run.\n", - "The code has run 10.2550 seconds.\n", + "The code has run 9.7326 seconds.\n", "Estimated remaining time: 0.0000 seconds\n", - "The whole run takes 10.255020141601562 s.\n" + "The whole run takes 9.73263692855835 s.\n" ] } ], @@ -2543,7 +726,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 8, "id": "75da1683", "metadata": {}, "outputs": [ @@ -2566,7 +749,8 @@ "Design variable: ['CA0', 'T', 'T']\n", "Value : (5.0, 700.0, 300)\n", "Design variable: ['CA0', 'T', 'T']\n", - "Value : (5.0, 700.0, 500)\n" + "Value : (5.0, 700.0, 500)\n", + "Reminder: the 2 th design variable T is renamed as T2 .\n" ] } ], @@ -2576,7 +760,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 9, "id": "c20e6579", "metadata": { "scrolled": true @@ -2592,7 +776,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" ] @@ -2657,7 +841,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 10, "id": "16be2b47", "metadata": { "scrolled": true @@ -2725,6 +909,14 @@ "\n", "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2957202d", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From 5a43e6367336576c1aae28b5cdeed2c33b291407 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sun, 15 Aug 2021 20:25:33 -0400 Subject: [PATCH 11/42] some temporary files when testing k_aug --- pyomo/contrib/doe/DoE_package.py | 1950 ----------------- pyomo/contrib/doe/GJH/A_print.txt | 31 + pyomo/contrib/doe/GJH/H_print.txt | 37 + pyomo/contrib/doe/GJH/gradient_f_print.txt | 31 + pyomo/contrib/doe/GJH/kkt_print.txt | 171 ++ pyomo/contrib/doe/col_row.col | 31 + pyomo/contrib/doe/col_row.nl | 1239 +++++++++++ pyomo/contrib/doe/col_row.row | 28 + pyomo/contrib/doe/dynamic.csv | 8 +- pyomo/contrib/doe/get_sensitivity.py | 286 +++ pyomo/contrib/doe/reactor_control_doe.ipynb | 554 ++--- .../doe/reactor_kinetics_kaug_case.ipynb | 640 ++++++ pyomo/contrib/doe/scenario_simultaneous | Bin 0 -> 551 bytes pyomo/contrib/doe/test_heatmap.csv | 162 +- 14 files changed, 2810 insertions(+), 2358 deletions(-) delete mode 100644 pyomo/contrib/doe/DoE_package.py create mode 100644 pyomo/contrib/doe/GJH/A_print.txt create mode 100644 pyomo/contrib/doe/GJH/H_print.txt create mode 100644 pyomo/contrib/doe/GJH/gradient_f_print.txt create mode 100644 pyomo/contrib/doe/GJH/kkt_print.txt create mode 100644 pyomo/contrib/doe/col_row.col create mode 100644 pyomo/contrib/doe/col_row.nl create mode 100644 pyomo/contrib/doe/col_row.row create mode 100644 pyomo/contrib/doe/get_sensitivity.py create mode 100644 pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb create mode 100644 pyomo/contrib/doe/scenario_simultaneous diff --git a/pyomo/contrib/doe/DoE_package.py b/pyomo/contrib/doe/DoE_package.py deleted file mode 100644 index 8635e9faf64..00000000000 --- a/pyomo/contrib/doe/DoE_package.py +++ /dev/null @@ -1,1950 +0,0 @@ -import numpy as np -import matplotlib.pyplot as plt -from pyomo.environ import * -from pyomo.dae import * -import pandas as pd -import time -import pickle -from itertools import permutations, product -from pyomo.contrib.sensitivity_toolbox.sens import sensitivity_calculation - - -class DesignOfExperiments: - def __init__(self, param_init, design_variable_timepoints, measurement_variables, measurement_timeset, create_model, solver=None, - prior_FIM=None, discretize_model=None, verbose=True): - ''' - This package enables model-based design of experiments analysis with Pyomo. Both direct optimization and enumeration modes are supported. - NLP sensitivity tools, e.g., sipopt and k_aug, are supported to accelerate analysis via enumeration. - It can be applied to dynamic models, where design variables are controlled throughout the experiment. - - Parameters: - ----------- - param_init: a dictionary of parameter names and values. If they are an indexed variable, put the variable name and index, such as 'theta["A1"]'. Note: if sIPOPT is used, parameter shouldn't be indexed. - design_variable_timepoints: a dictionary, keys are design variable names, values are its control time points. - if this design var is independent of time (constant), set the time to [0] - measurement_variables: the variable name of the model output, for e.g., ['CA', 'CB', 'CC']. - measurement_timeset: a list of measurement time points. can be different from control time points - create_model: a function that returns the model, where: - - parameter and design variables are defined as variables - - define every state variables dependent on parameters with a scenario index - - take scenarios as the first argument of this function - - define time index as 't'. - - design variables are defined with and only with a time index. - solver: User specified solver, default=None. If not specified, default solver is IPOPT MA57. - prior_FIM: Fisher information matrix (FIM) for prior experiments, default=None - discretize_model: A user-specified function that deiscretizes the model. Only use with Pyomo.DAE, default=None - verbose: if print statements are made - ''' - - # parameters - self.param_init = param_init - self.param_name = list(param_init.keys()) - self.param_value = list(param_init.values()) - # design variable name - self.design_timeset = design_variable_timepoints - self.design_name = list(self.design_timeset.keys()) - # the control time point for each design variable - self.design_time = list(self.design_timeset.values()) - # model output (measurement) name - self.measurement_variables = measurement_variables - # model measurement time - self.measurement_timeset = measurement_timeset - # create_model() - self.create_model = create_model - # check if user-defined solver is given - if solver is not None: - self.solver = solver - # if not given, use default solver - else: - self.solver = self.__solve_with_default_ipopt() - - # check if discretization is needed - self.discretize_model = discretize_model - - # check if there is prior info - self.prior_FIM = prior_FIM - - # if print statements - self.verbose = verbose - - def __check_inputs(self, check_mode=False): - '''Check if inputs are consistent - - Parameters - ---------- - check_mode: check FIM calculation mode - ''' - if self.objective_option not in ['det', 'trace', 'zero']: - raise ValueError('Error: Objective function should be chosen from "det", "zero" and "trace"') - - if self.formula not in ['central', 'forward', 'backward', None]: - raise ValueError('Error: Finite difference scheme should be chosen from "central", "forward", "backward" and "none".') - - if self.prior_FIM is not None: - assert (np.shape(self.prior_FIM)[0] == np.shape(self.prior_FIM)[1]), \ - 'Expect prior information matrix shape: ['+str(len(self.param_name))+','+str(len(self.param_name)) +']' - - if self.scale_nominal_param_value: - print('Sensitivity information is scaled by its corresponding parameter nominal value.') - - if (self.scale_constant_value != 1): - print('Sensitivity information is scaled by constant ', self.scale_constant_value, ' times itself.') - - if check_mode: - if self.mode not in ['simultaneous_finite', 'sequential_finite', 'sequential_sipopt', 'sequential_kaug']: - print('Wrong mode. Choose from "simultaneous_finite", "sequential_finite", "0sequential_sipopt", "sequential_kaug"') - - - - def optimize_doe(self, design_values, if_optimize=True, objective_option='det', - scale_nominal_param_value=False, scale_constant_value=1, if_Cholesky=False, L_LB = 1E-10, L_initial=None, - formula='central', step=0.001, check=True): - ''' - Optimize DOE problem with design variables being the decisions. - The DOE model is formed invasively and all scenarios are computed simultaneously. - The function will first fun a square problem with design variable being fixed at - the given initial points, and then unfix the design variable and do the - optimization. - - Parameters: - ----------- - design_values: initial point for optimization, a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point - if_optimize: if True, continue to do optimization. else, just run square problem with given design variable values - objective_option: supporting maximizing the 'det' determinant or the 'trace' trace of the FIM - scale_nominal_param_value: if scale Jacobian by the corresponding parameter nominal value - scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small - if_Cholesky: if true, cholesky decomposition is used for Objective function (to optimize determinant). - L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 - L_initial: initialize the L - formula: Finite difference formula, choose from 'central', 'forward', 'backward', None - step: Finite difference sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 - check: if True check input toggles consistency to be checked multiple times. - - Returns: - -------- - analysis_square: result summary of the square problem solved at the initial point - analysis_optimize: result summary of the optimization problem solved - - Steps: - ------ - 1, Build two-stage stochastic programming optimization model where scenarios correspond to - finite difference approximations for the Jacobian of the response variables with respect to calibrated model parameters - 2, Fix the experiment design decisions and solve a square (i.e., zero degrees of freedom) instance of the two-stage DOE problem. - This step is for initialization. - 3, Unfix the experiment design decisions and solve the two-stage DOE problem. - ''' - - # store inputs in object - self.design_values = design_values - self.optimize = if_optimize - self.objective_option = objective_option - self.scale_nominal_param_value = scale_nominal_param_value - self.scale_constant_value = scale_constant_value - self.Cholesky_option = if_Cholesky - self.L_LB = L_LB - self.L_initial = L_initial - self.formula = formula - self.step = step - self.tee_opt = True - - # calculate how much the FIM element is scaled by a constant number - # FIM = Jacobian.T@Jacobian, the FIM is scaled by squared value the Jacobian is scaled - self.fim_scale_constant_value = self.scale_constant_value **2 - - # check if inputs are valid - # simultaneous mode does not need to check mode and dimension of design variables - if check: - self.__check_inputs(check_mode=False) - - # build the large DOE pyomo model - m = self.__create_doe_model() - - # solve model, achieve results for square problem, and results for optimization problem - - # Solve square problem first - # result_square: solver result - result_square = self.__solve_doe(m, fix=True) - - analysis_square = FIM_result(self.param_name, prior_FIM=self.prior_FIM, scale_constant_value=self.scale_constant_value) - analysis_square.extract_FIM(m, self.design_timeset, result_square, obj=objective_option) - - if self.optimize: - # solve problem with DOF then - result_doe = self.__solve_doe(m, fix=False) - - analysis_optimize = FIM_result(self.param_name, prior_FIM=self.prior_FIM) - analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, obj=objective_option) - - return analysis_square, analysis_optimize - - else: - return analysis_square - - - def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=None, specified_prior=None, - tee_opt=True, scale_nominal_param_value=False, scale_constant_value=1, formula='central', step=0.01, - if_Cholesky=False, L_LB=1E-10, L_initial=None): - ''' - This function solves a square Pyomo model with fixed design variables to compute the FIM. - The problem is structured in one of the four following modes: - 1, simultaneous_finite: Calculate a multiple scenario model. Sensitivity info estimated by finite difference. Instead of 1, - 2, sequential_finite: Calculates a one scenario model multiple times for - multiple scenarios. Sensitivity info estimated by finite difference - 3, sequential_sipopt: calculate sensitivity by sIPOPT. - 4, sequential_kaug: calculate sensitivity by k_aug - - Parameters: - ----------- - design_values: a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point - mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' - FIM_store_name: if storing the FIM in a .csv, give the file name here as a string, '**.csv' or '**.txt'. - specified_prior: if user needs a different prior, replace this toggle without creating a new object - tee_opt: if IPOPT console output is printed - scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init - scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small - - Only effective when finite=True: - formula: choose from 'central', 'forward', 'backward', None - step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 - - Cholesky option: - if_Cholesky: if true, Cholesky decomposition is used for Objective function (to optimize determinant). - L_LB: if FIM is positive definite, the diagonal element should be positive, so we can set a LB like 1E-10 - L_initial: initialize the L - - Return: - ------- - FIM_analysis: result summary object of this solve - ''' - # save inputs in object - self.design_values = design_values - self.mode = mode - self.scale_nominal_param_value = scale_nominal_param_value - self.scale_constant_value = scale_constant_value - self.formula = formula - self.step = step - - # This method only solves square problem - self.optimize = False - # Set the Objective Function to 0 helps solve square problem quickly - self.objective_option = 'zero' - self.tee_opt = tee_opt - - self.Cholesky_option = if_Cholesky - self.L_LB = L_LB - self.L_initial = L_initial - - # calculate how much the FIM element is scaled by a constant number - # As FIM~Jacobian.T@Jacobian, FIM is scaled twice the number the Q is scaled - self.fim_scale_constant_value = self.scale_constant_value ** 2 - - # check inputs valid - self.__check_inputs(check_mode=True) - - # if using simultaneous model - if (self.mode == 'simultaneous_finite'): - m = self.__create_doe_model() - - # solve model, achieve results for square problem, and results for optimization problem - square_result = self.__solve_doe(m, fix=True) - - # analyze results - if specified_prior is None: - prior_in_use = self.prior_FIM - else: - prior_in_use = specified_prior - - FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) - - # add the formed simultaneous model to the object so that users can have access - self.m = m - self.square_result = square_result - - return FIM_analysis - - elif self.mode=='sequential_finite': - no_para = len(self.param_name) - - # if using sequential model - # call generator function to get scenario dictionary - scena_gen = Scenario_generator(self.param_init, formula=self.formula, step=self.step) - scena_gen.generate_sequential_para() - - # dict for storing model outputs - output_record = {} - # dict for storing Jacobian - jac = {} - - # loop over each scenario - for no_s in (scena_gen.scena_keys): - - scenario_iter = scena_gen.next_sequential_scenario(no_s) - # create the model - # TODO:(long term) add options to create model once and then update. only try this after the - # package is completed and unitest is finished - mod = self.create_model(scenario_iter) - - # discretize if needed - if self.discretize_model is not None: - mod = self.discretize_model(mod) - - # extract (discretized) time - time_set = [] - for t in mod.t: - time_set.append(value(t)) - - # solve model - square_result = self.__solve_doe(mod, fix=True) - - # loop over measurement item and time to store model measurements - output_combine = [] - for j in self.measurement_variables: - for t in self.measurement_timeset: - C_value = eval('mod.' + j + '[0,' + str(t) + ']') - output_combine.append(value(C_value)) - output_record[no_s] = output_combine - - # After collecting outputs from all scenarios, calculate sensitivity - for para in self.param_name: - # extract involved scenario No. for each parameter from scenario class - involved_s = scena_gen.scenario_para[para] - # each parameter has two involved scenarios - s1 = involved_s[0] - s2 = involved_s[1] - list_jac = [] - for i in range(len(output_record[s1])): - if self.scale_nominal_param_value: - sensi = (output_record[s1][i] - output_record[s2][i]) / scena_gen.eps_abs[para] *self.param_init[para] *self.scale_constant_value - else: - sensi = (output_record[s1][i] - output_record[s2][i]) / scena_gen.eps_abs[para]*self.scale_constant_value - list_jac.append(sensi) - # get Jacobian dict, keys are parameter name, values are sensitivity info - jac[para] = list_jac - - - # Assemble and analyze results - if specified_prior is None: - prior_in_use = self.prior_FIM - else: - prior_in_use = specified_prior - - FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) - - # Store the Jacobian information for access by users - self.jac = jac - - return FIM_analysis - - - elif self.mode in ['sequential_sipopt', 'sequential_kaug']: - # create scenario class for a base case - scena_gen = Scenario_generator(self.param_init, formula=None, step=self.step) - scenario_all = scena_gen.simultaneous_scenario() - - # sipopt only uses backward difference scheme - # store measurements for scenarios - all_perturb_measure = [] - all_base_measure = [] - # store jacobian info - jac={} - - # loop over parameters - for pa in range(len(self.param_name)): - perturb_mea = [] - base_mea = [] - - # create model - mod = self.create_model(scenario_all) - - # discretize if needed - if self.discretize_model is not None: - mod = self.discretize_model(mod) - - # For sIPOPT, fix model DOF - if self.mode =='sequential_sipopt': - mod = self.__fix_design(mod, self.design_values, fix_opt=True) - - mod.obj = Objective(rule=0.0, sense=minimize) - - # extract (discretized) time - time_set = [] - for t in mod.t: - time_set.append(value(t)) - - # add sIPOPT perturbation parameters - mod = self.__add_parameter(mod, perturb=pa) - - # solve the square problem with the original parameters for k_aug mode, since k_aug does not calculate these - if self.mode == 'sequential_kaug': - self.__solve_doe(mod, fix=True) - - # parameter name lists for sipopt - list_original = [] - list_perturb = [] - for ele in self.param_name: - list_original.append(eval('mod.'+ele+'[0]')) - for elem in self.perturb_names: - list_perturb.append(eval('mod.'+elem+'[0]')) - - # solve model - if self.mode =='sequential_sipopt': - m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=self.tee_opt, solver_options='ma57') - else: - m_sipopt = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=True) - - # extract sipopt result - for j in self.measurement_variables: - for t in self.measurement_timeset: - # fetch the measurement variable - measure_var = getattr(m_sipopt,j) - # check if this variable is fixed - if (measure_var[0,t].fixed == True): - perturb_value = value(measure_var[0,t]) - - else: - # if it is not fixed, record its perturbed value - if self.mode =='sequential_sipopt': - perturb_value = eval('m_sipopt.sens_sol_state_1[m_sipopt.' + j + '[0,' + str(t) + ']]') - else: - perturb_value = eval('m_sipopt.' + j + '[0,' + str(t) + ']()') - perturb_mea.append(perturb_value) - - # base case values - if self.mode =='sequential_sipopt': - base_value = eval('m_sipopt.'+j+'[0,' + str(t) + '].value') - else: - base_value = value(eval('mod.' + j + '[0,' + str(t) + ']')) - - base_mea.append(base_value) - - # store extracted measurements - all_perturb_measure.append(perturb_mea) - all_base_measure.append(base_mea) - print(all_perturb_measure) - print(all_base_measure) - - - # After collecting outputs from all scenarios, calculate sensitivity - for count, para in enumerate(self.param_name): - list_jac = [] - for i in range(len(all_perturb_measure[0])): - if self.scale_nominal_param_value: - sensi = -(all_perturb_measure[count][i] - all_base_measure[count][i]) / self.step * self.scale_constant_value - else: - sensi = -(all_perturb_measure[count][i] - all_base_measure[count][i]) / self.step /self.param_init[para] * self.scale_constant_value - list_jac.append(sensi) - # get Jacobian dict, keys are parameter name, values are sensitivity info - jac[para] = list_jac - - # check if another prior experiment FIM is provided other than the user-specified one - if specified_prior is None: - prior_in_use = self.prior_FIM - else: - prior_in_use = specified_prior - - # Assemble and analyze results - FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) - - self.jac = jac - - return FIM_analysis - - else: - raise ValueError('This is not a valid mode. Choose from "sequential_finite", "simultaneous_finite", "sequential_sipopt", "sequential_kaug"') - - - def generate_sequential_experiments(self, design_values_set, mode='sequential_finite', tee_option=False, - scale_nominal_param_value=False, scale_constant_value=1, - formula='central', step=0.001): - ''' - Run a series of experiments sequentially, and use the FIM from one experiment as the prior information for the next experiment - Parameters: - ----------- - design_values_set: a list of experiments, each element is one design_values dictionary - mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' - tee_option: if IPOPT console output is printed - scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init - scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small - formula: choose from 'central', 'forward', 'backward', None - step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 - - Returns: - -------- - result_obj_list: a list of the result summary objects of every experiment - fim_list: a list of the FIM of every experiment - ''' - # how many exps to run in a row - self.no_exp = len(design_values_set) - self.design_values_set = design_values_set - self.formula = formula - self.mode = mode - self.scale_nominal_param_value = scale_nominal_param_value - self.scale_constant_value = scale_constant_value - # Set the Objective Function to 0 helps solve square problem quickly - self.objective_option = 'zero' - - # calculate how much the FIM element is scaled by a constant number - self.fim_scale_constant_value = self.scale_constant_value ** 2 - - self.__check_inputs(check_mode=True) - - # store all results object list - result_object_list = [] - # store all FIM - fim_list = [] - # loop over experiments - for i in range(self.no_exp): - print('========This is the No.', i, ' experiment.========') - if self.verbose: - print('Design variables:', self.design_values_set[i]) - - # call compute_FIM to get FIM - if i==0: - prior_in_use = self.prior_FIM - else: - prior_in_use = fim_list[i-1] - - # run the experiment with compute_FIM - result_iter = self.compute_FIM(self.design_values_set[i], mode=self.mode, specified_prior=prior_in_use, - tee_opt=tee_option, - scale_nominal_param_value=self.scale_nominal_param_value, - formula=formula, step=step) - - if (self.mode == 'simultaneous_finite'): - result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.objective_option, add_fim=True) - - elif (self.mode in ['sequential_finite', 'sequential_sipopt', 'sequential_kaug']): - result_iter.calculate_FIM(self.jac, self.design_values) - - # attach these results to the store list - result_object_list.append(result_iter) - fim_list.append(result_iter.FIM) - - return result_object_list, fim_list - - def run_grid_search(self, design_values, design_ranges, design_dimension_names, design_control_time, mode='sequential_finite', - tee_option=False, scale_nominal_param_value=False, scale_constant_value=1, - filename=None, formula='central', step=0.001): - ''' - Enumerate through full factorial grid search for design variables; - solve square problems sequentially to compute FIMs. - It calculates FIM with sensitivity information from four ways: - 1, Simultaneous: Calculate a multiple scenario model. Sensitivity info estimated by finite difference - 2, Sequential_ipopt: Calculates a one scenario model multiple times for - multiple scenarios. Sensitivity info estimated by finite difference - 3, Sequential_sipopt: calculate sensitivity by sIPOPT. - 4, Sequential_kaug: calculate sensitivity by k_aug - - Parameters: - ----------- - design_values: a dict whose keys are design variable names, values are a dict whose keys are time point and values are the design variable value at that time point - design_ranges: a list of design variable values to go over - design_dimension_names: a list of design variable names of each design range - deisgn_control_time: a list of control time points that should be fixed to the values in dv_ranges - mode: use Mode='sequential_finite', 'simultaneous_finite', 'sequential_sipopt', 'sequential_kaug' - tee_option: if IPOPT console output is made - scale_nominal_param_value: if True, the parameters are scaled by its own nominal value in param_init - scale_constant_value: how many order of magnitudes the Jacobian value is scaled by. Use when the Jac or FIM value is too small - filename: if True, grid search results stored with this file name - - Only effective when finite=True: - formula: choose from 'central', 'forward', 'backward', None - step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 - - Return: - ------- - figure_draw_object: a combined result object of class Grid_search_result - ''' - # Set the Objective Function to 0 helps solve square problem quickly - self.objective_option='zero' - self.filename = filename - - # calculate how much the FIM element is scaled - self.fim_scale_constant_value = scale_constant_value ** 2 - - # when defining design space, design variable values are defined as in design_values argument - # the design var value defined in dv_ranges only applies to control time points given in dv_apply_time - grid_dimension = len(design_ranges) - - # to store all FIM results - result_combine = {} - - # time 0 - t_begin = time.time() - - # iteration 0 - count = 0 - # how many sets of design variables will be run - total_count = 1 - for i in range(grid_dimension): - total_count *= len(design_ranges[i]) - print(total_count, ' design vectors will be searched.') - - # generate combinations of design variable values to go over - search_design_set = product(*design_ranges) - - # loop over deign value combinations - for design_set_iter in search_design_set: - # generate the design variable dictionary needed for running compute_FIM - # first copy value from design_Values - design_iter = design_values.copy() - - # update the controlled value of certain time points for certain design variables - for i in range(grid_dimension): - for v, value in enumerate(design_control_time[i]): - design_iter[design_dimension_names[i]][value] = list(design_set_iter)[i] - - print('=======This is the ', count+1, 'th iteration=======') - print('Design variable values of this iteration:', design_iter) - - t_each_begin = time.time() - - # call compute_FIM to get FIM - result_iter = self.compute_FIM(design_iter, mode=mode, - tee_opt=tee_option, - scale_nominal_param_value=scale_nominal_param_value, - scale_constant_value = scale_constant_value, - formula=formula, step=step) - - if (mode=='simultaneous_finite'): - result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, objective_option) - - elif (mode in ['sequential_finite', 'sequential_sipopt', 'sequential_kaug']): - result_iter.calculate_FIM(self.jac, self.design_values) - - t_now = time.time() - - if self.verbose: - # give run information at each iteration - print('This is the ', count+1, ' run out of ', total_count, 'run.') - print('The code has run %.04f seconds.'% (t_now-t_begin)) - print('Estimated remaining time: %.4f seconds' % ((t_now-t_begin)/(count+1)*(total_count-count-1))) - count += 1 - - # the combined result object are organized as a dictionary, keys are a tuple of the design variable values, values are a result object - result_combine[tuple(design_set_iter)] = result_iter - - t_end = time.time() - print('The whole run takes ', t_end - t_begin, ' s.') - - # For user's access - self.all_fim = result_combine - - # Create figure drawing object - figure_draw_object = Grid_Search_Result(design_ranges, design_dimension_names, design_control_time, result_combine) - - # store results - if self.filename is not None: - f = open(filename, 'wb') - pickle.dump(result_combine, f) - f.close() - - return figure_draw_object - - - def __create_doe_model(self): - ''' - Add features for DOE. - - Parameters: - ----------- - self.measurement_variables: the variable name of the model output, for e.g., ['CA', 'CB', 'CC']. - self.measurement_timeset: a list of measurement time points. can be different from control time points - self.design_values: a dict of dictionaries, keys are the name of design variables, values are a dict where keys are the time points, values are the design variable value at that time point - - self.optimize: if True, solve the problem unfixing the design variables. if False, solve the problem as a - square problem - self.objective_option: choose from 'det' or 'trace'. Optimization problem maximizes determinant or trace. - self.scale_nominal_param_value: if True, scale FIM but not scale Jacobian. This toggle can be opened for better performance when the - problem is poorly scaled. - self.tee_opt: if True, print IPOPT console output - self.Cholesky_option: if true, cholesky decomposition is used for Objective function (to optimize determinant). If true, determinant will not be calculated. - self.L_LB: if FIM is P.D., the diagonal element should be positive, so we can set a LB like 1E-10 - self.L_initial: initialize the L - self.formula: choose from 'central', 'forward', 'backward', None - self.step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 - - Return: - ------- - m: the DOE model - ''' - # call generator function to get scenario dictionary - scena_gen = Scenario_generator(self.param_init, formula=self.formula, step=self.step, store=True) - scenario_all = scena_gen.simultaneous_scenario() - - # create model - m = self.create_model(scenario_all) - # discretize if discretization function is provided - if self.discretize_model is not None: - m = self.discretize_model(m) - - # extract (discretized) time - time_set=[] - for t in m.t: - time_set.append(value(t)) - - # create parameter, measurement, time and measurement time set - m.para_set = Set(initialize=self.param_name) - param_name = self.param_name - m.y_set = Set(initialize=self.measurement_variables) - m.t_set = Set(initialize=time_set) - m.tmea_set = Set(initialize=self.measurement_timeset) - - # we can be sure about the name of scenarios, because they are generated by our function - m.scenario = Set(initialize=scenario_all['scena-name']) - m.optimize = self.optimize - - # check if measurement time points are in the time set - for t in m.tmea_set: - if not (t in m.t): - raise ValueError('Warning: Measure timepoints should be in the time list.') - - # check if control time points are in the time set - for d in range(len(self.design_name)): - for t in self.design_time[d]: - if not (t in m.t): - raise ValueError('Warning: Control timepoints should be in the time list.') - - ### Define variables - # Elements in Jacobian matrix - m.jac = Var(m.y_set, m.para_set, m.tmea_set, initialize=1E-20) - - # Initialize Hessian with an identity matrix - def identity_matrix(m,j,d): - if j==d: - return 1 - else: - return 0 - m.FIM = Var(m.para_set, m.para_set, initialize=identity_matrix) - - if self.objective_option=='trace': - # Trace of FIM - m.trace = Var(initialize=1, within=NonNegativeReals) - elif self.objective_option=='det': - # Determinant of FIM - m.det = Var(initialize=0.5, within=NonNegativeReals) - elif (self.objective_option != 'zero'): - raise ValueError('Undefined objective function type. Available options are "trace" and "det".') - - # reformulate the L matrix initial point to a dictionary - if self.L_initial is not None: - dict_cho={} - for i, bu in enumerate(m.para_set): - for j, un in enumerate(m.para_set): - dict_cho[(bu,un)] = self.L_initial[i][j] - # use the L dictionary to initialize L matrix - def init_cho(m,i,j): - return dict_cho[(i,j)] - - if self.Cholesky_option: - # Define elements of Cholesky decomposition matrix as Pyomo variables and either - # Initialize with L in L_initial - if self.L_initial is not None: - m.L_ele = Var(m.para_set, m.para_set, initialize=init_cho) - # or initialize with the identity matrix - else: - m.L_ele = Var(m.para_set, m.para_set, initialize=identity_matrix) - - # loop over parameter name - for c in m.para_set: - for d in m.para_set: - # fix the 0 half of L matrix to be 0.0 - if (param_name.index(c) < param_name.index(d)): - m.L_ele[c,d].fix(0.0) - # Give LB to the diagonal entries - if self.L_LB is not None: - if c==d: - m.L_ele[c,d].setlb(self.L_LB) - - - def jac_numerical(m,j,p,t): - ''' - Calculate the Jacobian - j: model responses - p: model parameters - t: timepoints - ''' - # A better way to do this: - # https://github.com/IDAES/idaes-pse/blob/274e58bef55f2f969f0df97cbb1fb7d99342388e/idaes/apps/uncertainty_propagation/sens.py#L296 - - up_C = eval('m.'+j+'['+str(scenario_all['jac-index'][p][0])+','+str(t)+']') - lo_C = eval('m.'+j+'['+str(scenario_all['jac-index'][p][1])+','+str(t)+']') - - return m.jac[j,p,t] == (up_C - lo_C)/scenario_all['eps-abs'][p] *self.scale_constant_value - - #A constraint to calculate elements in Hessian matrix - # transfer prior FIM to be Expressions - dict_fele={} - for i, bu in enumerate(m.para_set): - for j, un in enumerate(m.para_set): - dict_fele[(bu,un)] = self.prior_FIM[i][j] - - def ele_todict(m,i,j): - return dict_fele[(i,j)] - m.refele = Expression(m.para_set, m.para_set, rule=ele_todict) - - def calc_FIM(m,j,d): - ''' - Calculate FIM elements - ''' - # check if scale - if self.scale_nominal_param_value: - return m.FIM[j,d] == sum(sum(m.jac[z,j,i]*self.param_init[j]*self.param_init[d]*m.jac[z,d,i] for z in m.y_set) for i in m.tmea_set) + m.refele[j, d]*self.fim_scale_constant_value - else: - return m.FIM[j,d] == sum(sum(m.jac[z,j,i]*m.jac[z,d,i] for z in m.y_set) for i in m.tmea_set) + m.refele[j, d]*self.fim_scale_constant_value - - def trace_calc(m): - ''' - Calculate FIM elements. Can scale each element with 1000 for performance - ''' - sum_x = 0 - for j in m.para_set: - for d in m.para_set: - if d==j: - sum_x += m.FIM[j,d] - return m.trace == sum_x - - def det_general(m): - '''Calculate determinant. Can be applied to FIM of any size. - det(A) = sum_{\sigma \in \S_n} (sgn(\sigma) * \Prod_{i=1}^n a_{i,\sigma_i}) - Use permutation() to get permutations, sgn() to get signature - ''' - r_list = list(range(len(m.para_set))) - # get all permutations - object_p = itertools.permutations(r_list) - list_p = list(object_p) - - # generate a name_order to iterate \sigma_i - det_perm = 0 - for i in range(len(list_p)): - name_order = [] - x_order = list_p[i] - # sigma_i is the value in the i-th position after the reordering \sigma - for x in range(len(x_order)): - for y, element in enumerate(m.para_set): - if x_order[x] == y: - name_order.append(element) - - # det(A) = sum_{\sigma \in \S_n} (sgn(\sigma) * \Prod_{i=1}^n a_{i,\sigma_i}) - det_perm = sum( sgn(list_p[d])*sum(m.FIM[each, name_order[b]] for b, each in enumerate(m.para_set)) for d in range(len(list_p))) - return m.det == det_perm - - - def cholesky_imp(m,c,d): - ''' - Calculate Cholesky L matrix using algebraic constraints - ''' - # If it is the left bottom half of L - if (param_name.index(c)>=param_name.index(d)): - return m.FIM[c,d] == sum(m.L_ele[c, param_name[k]]*m.L_ele[d, param_name[k]] for k in range(param_name.index(d)+1)) - else: - # This is the empty half of L above the diagonal - return Constraint.Skip - - - ### Constraints and Objective function - m.dC_value = Constraint(m.y_set, m.para_set, m.tmea_set, rule=jac_numerical) - m.ele_rule = Constraint(m.para_set, m.para_set, rule=calc_FIM) - - # Only giving the objective function when there's Degree of freedom. Make OBJ=0 when it's a square problem, which helps converge. - if self.optimize: - # if cholesky, calculating L and evaluate the OBJ with Cholesky decomposition - if self.Cholesky_option: - m.cholesky_cons = Constraint(m.para_set, m.para_set, rule=cholesky_imp) - m.obj = Objective(expr=2*sum(log(m.L_ele[j,j]) for j in m.para_set), sense=maximize) - # if not cholesky but determinant, calculating det and evaluate the OBJ with det - elif (self.objective_option=='det'): - m.det_rule = Constraint(rule=det_general) - m.obj = Objective(expr=log(m.det), sense=maximize) - # if not determinant or cholesky, calculating the OBJ with trace - elif (self.objective_option=='trace'): - m.trace_rule = Constraint(rule=trace_calc) - m.obj = Objective(expr=log(m.trace), sense=maximize) - elif (self.objective_option=='zero'): - m.obj = Objective(expr=0) - else: - m.obj = Objective(expr=0) - - return m - - - def __fix_design(self, m, design_val, fix_opt=True): - ''' Fix design variable - - Parameters: - ----------- - m: model - design_val: design variable values dict - fix_opt: if True, fix. Else, unfix - - Returns: - -------- - m: model - ''' - # loop over the design variables and time index and to fix values specified in design_val - for d, dname in enumerate(self.design_name): - for t, time in enumerate(self.design_time[d]): - newvar = eval('m.' + dname + '[' + str(time) + ']') - fix_v = design_val[dname][time] - if fix_opt: - newvar.fix(fix_v) - else: - newvar.unfix() - return m - - def __solve_with_default_ipopt(self): - ''' Default solver - ''' - solver = SolverFactory('ipopt') - solver.options['linear_solver'] = 'ma57' - solver.options['halt_on_ampl_error'] = 'yes' - return solver - - def __solve_doe(self, m, fix=False): - '''Solve DOE model. - If it's a square problem, fix design variable and solve. - Else, fix design variable and solve square problem firstly, then unfix them and solve the optimization problem - - Parameters: - ----------- - m:model - fix: if True, solve two times (square first). Else, just solve the square problem - - Return: - ------- - solver_results: solver results - ''' - ### Solve square problem - mod = self.__fix_design(m, self.design_values, fix_opt=fix) - - # if user gives solver, use this solver. if not, use default IPOPT solver - solver_result = self.solver.solve(mod,tee=self.tee_opt) - - return solver_result - - def __add_parameter(self, m, perturb=0): - ''' - For sIPOPT: add parameter perturbation set - - Parameters: - ----------- - m: model name - self.param_names: perturbation parameter names - perturb: which parameter to perturb - ''' - # model parameters perturbation, backward disturb - param_backward = self.param_value.copy() - # perturb parameter - param_backward[perturb] *= (1-self.step) - - # generate sIPOPT perturbed parameter names - param_perturb_names = self.param_name.copy() - for x, xname in enumerate(self.param_name): - param_perturb_names[x] = xname+'_pert' - if self.verbose: - print('perturb names are:', param_perturb_names) - - self.perturb_names = param_perturb_names - if self.verbose: - print('Perturbation parameters are set:') - for change in range(len(self.perturb_names)): - setattr(m, self.perturb_names[change], Param(m.scena, initialize=param_backward[change])) - if self.verbose: - print(self.perturb_names[change], ': ', value(eval('m.'+self.perturb_names[change]+'[0]'))) - return m - - -class Scenario_generator: - def __init__(self, para_dict, formula='central', step=0.001, store=False): - '''Generate scenarios. - DoE library first calls this function to generate scenarios. - For sequential and simultaneous models, call different functions in this class. - - Parameters: - ----------- - para_dict: a Dict of parameter, keys are names, values are their nominal value. for e.g., - {'A1': 84.79, 'A2': 371.72, 'E1': 7.78, 'E2': 15.05} - formula: choose from 'central', 'forward', 'backward', None. - step: Sensitivity perturbation step size, a fraction between [0,1]. default is 0.001 - store: if store results - ''' - - if formula not in ['central', 'forward', 'backward', None]: - raise ValueError('Error: undefined formula. Available formulas: central, forward, backward, none.') - - # get info from parameter dictionary - self.para_dict = para_dict - self.para_names = list(para_dict.keys()) - self.no_para = len(self.para_names) - self.formula = formula - self.step = step - self.store = store - # This is the parameter nominal values - self.scenario_nominal = [] - for d in self.para_names: - self.scenario_nominal.append(para_dict[d]) - - def simultaneous_scenario(self): - ''' - Generate scenario dict for simultaneous models - - Returns: - ------- - scena_overall: a dictionary containing scenarios dictionaries. - scena_overall[name of parameter]: a dict, keys are the scenario name(numeric integer starting from 0), values are parameter value in this scenario - scena_overall['jac-index']: keys are parameter name, values are the scenario names perturbing this parameter. - scena_overall['eps-abs']: keys are parameter name, values are the step it is perturbed - scena_overall['scena-name']: a list of scenario names - - For e.g., if a dict {'P':100, 'D':20} is given, step=0.1, formula='central', it will return: - scena_overall = {'P': {0: 101.0, 1: 100, 2: 99.0, 3: 100}, 'D': {0: 20, 1: 20.2, 2: 20, 3: 19.8}, 'jac-index': {'P': [0, 2], 'D': [1, 3]}, 'eps-abs': {'P': 2.0, 'D': 0.4}, 'scena-name': [0, 1, 2, 3]} - if formula ='forward', it will return: - scena_overall = {'P':{'0':110, '1':100, '2':100}, 'D':{'0':20, '1':22, '2':20}, 'jac-index':{'P':[0,2], 'D':[1,2]}, 'eps-abs':{'P':10,'D':2}, 'scena-name': [0,1,2]} - ''' - # generate scenarios - scena_keys, scena = self.__scena_generate(self.scenario_nominal, self.formula) - self.scena_keys = scena_keys - self.scena = scena - - # call scneario class and method - scenario_object = Scenario_data(self.para_dict, self.scena_keys, self.scena, self.formula, self.step) - scenario_overall = scenario_object.create_scenario() - - # store scenario - if self.store: - f = open('scenario_simultaneous', 'wb') - pickle.dump(scenario_overall, f) - f.close() - - return scenario_overall - - def next_sequential_scenario(self, count): - ''' - Generate a single scenario class for one of the sequential models - - Parameters: - ---------- - count: the No. of the sequential models - - Returns: - ------- - scenario_next: scenario dict for this sequential model - ''' - scena_keys, scena = self.__scena_generate(list(self.scena[count].values()), None) - - # each model is basically a 'none' case of an invasive model - scenario_object = Scenario_data(self.scena[count], scena_keys, scena, None, self.step) - scenario_next = scenario_object.create_scenario() - - return scenario_next - - def generate_sequential_para(self): - ''' - Generate object and some 'parameters' for sequential models - - Returns (added to self object): - ------- - self.scena_keys: scenario name, a list of numbers - self.scena: a list of parameter dictionaries for all sequential models - self.scenario_para: a list of two No. of models involved in calculating one parameter sensitivity - self.eps_abs: keys are parameter name, values are the step it is perturbed - ''' - - scena_keys, scena = self.__scena_generate(self.scenario_nominal, self.formula) - self.scena_keys = scena_keys - self.scena = scena - - # record the number of scenarios involved in calculating a certain parameter sensitivities - scenario_para = {} - for p, para in enumerate(self.para_names): - # the scenario involved in Jacobian calculation - if self.formula == 'central': - scenario_para[para] = [p, p + self.no_para] - elif self.formula == None: - raise ValueError('Error: finite difference scheme should be chosen.') - else: - scenario_para[para] = [p, self.no_para] - - self.scenario_para = scenario_para - - # calculate the perturbation size of every parameter - eps_abs = {} - for para in self.para_names: - # for central difference scheme, perturbation size is two times the step size - if self.formula == 'central': - eps_abs[para] = 2 * self.step * self.para_dict[para] - else: - eps_abs[para] = self.step * self.para_dict[para] - - self.eps_abs = eps_abs - - def __scena_generate(self, para_nominal, formula): - ''' - Generate scenario logics - - Returns: (store in self object) - -------- - self.scena_keys: a list of scenario names - self.scena: a dict, keys are scenario names, values are a list of parameter values - ''' - # generate scenario names - if formula == 'central': - scena_keys = list(range(2 * self.no_para)) - elif formula == None: - scena_keys = [0] - else: - scena_keys = list(range(self.no_para + 1)) - - # generate all parameter dict needed for creating a scenario - scena = {} - # generate a dict, keys are scenario number, values are a list of parameter values in this scenario - for i, name in enumerate(scena_keys): - scenario = para_nominal.copy() - - if formula == 'central': - # scenario 0 to #_of_para-1 are forward perturbed - if i < self.no_para: - scenario[i] *= (1 + self.step) - # scenario #_of_para to 2*#_of_para-1 are backward perturbed - else: - scenario[i - self.no_para] *= (1 - self.step) - - elif formula == 'forward': - # scenario 0 to #_of_para-1 are forward perturbed - if i < self.no_para: - scenario[i] *= (1 + self.step) - - elif formula == 'backward': - # scenario 0 to #_of_para-1 are backward perturbed - if i < self.no_para: - scenario[i] *= (1 - self.step) - - scenario_dict = {} - for n, pname in enumerate(self.para_names): - scenario_dict[pname] = scenario[n] - - scena[name] = scenario_dict - - return scena_keys, scena - - # TODO: need to consider how to store both hyperparameter and scenario classes in pickle - # if self.store: - # f = open('scenario_combine','wb') - # pickle.dump(scenario_comp, f) - # f.close() - - -class Scenario_data: - def __init__(self, parameter_dict, scena_keys, scena, form, step): - ''' - Generate scenario for a simultaneous model - - parameter_dict: parameter dictionaries - scena_keys: scenario name, a list of numbers - scena: a list of parameter dictionaries for all sequential models - form: choose from 'central', 'forward', 'backward', 'none'. - step: stepsize of a fraction, such as 0.01 - - Returns: - -------- - scena_dict: a dictionary containing scenarios dictionaries. - scena_dict[name of parameter]: a dict, keys are the scenario name(numeric integer starting from 0), values are parameter value in this scenario - scena_dict['jac-index']: keys are parameter name, values are the scenario names perturbing this parameter. - scena_dict['eps-abs']: keys are parameter name, values are the step it is perturbed - scena_dict['scena-name']: a list of scenario names - - For e.g., if a dict {'P':100, 'D':20} is given, step=0.1, formula='central', it will return: - scena_dict = {'P': {0: 101.0, 1: 100, 2: 99.0, 3: 100}, 'D': {0: 20, 1: 20.2, 2: 20, 3: 19.8}, 'jac-index': {'P': [0, 2], 'D': [1, 3]}, 'eps-abs': {'P': 2.0, 'D': 0.4}, 'scena-name': [0, 1, 2, 3]} - if formula ='forward', it will return: - scena_dict = {'P':{'0':110, '1':100, '2':100}, 'D':{'0':20, '1':22, '2':20}, 'jac-index':{'P':[0,2], 'D':[1,2]}, 'eps-abs':{'P':10,'D':2}, 'scena-name': [0,1,2]} - ''' - # get info from parameter dictionary - self.para_dict = parameter_dict - self.para_names = list(parameter_dict.keys()) - - self.scena = scena - self.scena_keys = scena_keys - # print('scena:', scena) - # print('scena keys:', scena_keys) - self.no_para = len(self.para_names) - self.formula = form - self.step = step - - # This is the parameter nominal values - self.scenario_nominal = [] - for d in self.para_names: - self.scenario_nominal.append(parameter_dict[d]) - - def create_scenario(self): - # overall dict to return - scenario_dict = {} - # dict for scenario position - jac_index = {} - # dict for parameter perturbaion step size - eps_abs = {} - - # loop over parameter name - for p, para in enumerate(self.para_names): - scena_p = {} - for n in self.scena_keys: - # print(self.scena[n][para]) - scena_p[n] = self.scena[n][para] - - # a dictionary of scenarios and its corresponding parameter values - scenario_dict[para] = scena_p - - # for central difference scheme, perturbation size is two times the step size - if self.formula == 'central': - eps_abs[para] = 2 * self.step * self.para_dict[para] - else: - eps_abs[para] = self.step * self.para_dict[para] - - # the scenario involved in Jacobian calculation - if self.formula == 'central': - jac_index[para] = [p, p + self.no_para] - elif self.formula == None: - jac_index[para] = [0] - else: - jac_index[para] = [p, self.no_para] - - scenario_dict['jac-index'] = jac_index - scenario_dict['eps-abs'] = eps_abs - scenario_dict['scena-name'] = self.scena_keys - - # print('Return scenario dict as:', scenario_dict) - return scenario_dict - - -class FIM_result: - def __init__(self, para_name, prior_FIM=None, store_FIM=None, scale_constant_value=1, max_condition_number=1.0E12, - verbose=True): - ''' - Analyze the FIM result for a single run - - Parameters: - ----------- - para_name: parameter names - prior_FIM: if there's prior FIM to be added - store_FIM: if storing the FIM in a .csv, give the file name here as a string, '**.csv' or '**.txt'. - scale_constant_value: the constant value used to scale the sensitivity - max_condition_number: max condition number - verbose: if print statements are used - ''' - self.para_name = para_name - self.prior_FIM = prior_FIM - self.store_FIM = store_FIM - self.scale_constant_value = scale_constant_value - self.fim_scale_constant_value = scale_constant_value ** 2 - self.max_condition_number = max_condition_number - self.verbose = verbose - - def calculate_FIM(self, jaco_info, dv_values, result=None): - ''' - Calculate FIM from Jacobian information. This is for grid search (combined models) results - - Parameters: - ----------- - jaco_info: jacobian dictionary - dv_values: design variable value dictionary - sq_result: solver status returned by IPOPT - - Return: - ------ - fim_info: a FIM dictionary containing the following key:value pairs - ~['FIM']: a list containing FIM itself - ~[design variable name]: a list of design variable values at each time point - ~['Trace']: a scalar number of Trace - ~['Determinant']: a scalar number of determinant - ~['Condition number:']: a scalar number of condition number - ~['Minimal eigen value:']: a scalar number of minimal eigen value - ~['Eigen values:']: a list of all eigen values - ~['Eigen vectors:']: a list of all eigen vectors - solver_info: a solver infomation dictionary containing the following key:value pairs - ~['square']: a string of square result solver status - ''' - self.result = result - self.doe_result = None - # create a dict for FIM. It has the same keys as the Jacobian dict. - - # get number of parameters - no_param = len(self.para_name) - ### calculate the FIM - fim = np.zeros((no_param, no_param)) - # loop over parameters - for row, para_n in enumerate(self.para_name): - for col, para_m in enumerate(self.para_name): - jaco_n = np.asarray(jaco_info[para_n]) - jaco_m = np.asarray(jaco_info[para_m]) - #fim[row][col] = jaco_info[para_n].T@jaco_info[para_m] - fim[row][col] = jaco_n.T@jaco_m - - # add prior information - if (self.prior_FIM is not None): - try: - fim = fim + self.prior_FIM - print('Existed information has been added.') - except: - raise ValueError('Check the shape of prior FIM') - - if np.linalg.cond(fim) > self.max_condition_number: - print("Warning: FIM is near singular.") - print('The condition number is:', np.linalg.cond(fim), ';') - print('A condition number bigger than ', self.max_condition_number, ' is considered near singular.') - - # call private methods - self.__print_FIM_info(fim, dv_set=dv_values) - if self.result is not None: - self.__get_solver_info() - - # if given store file name, store the FIM - if (self.store_FIM is not None): - self.__store_FIM() - - def extract_FIM(self, m, dv_set, result, obj=None, add_fim=False): - ''' - Extract FIM from an invasive model - - Parameters: - ----------- - m: model - dv_set: design variable value dictionary - result: problem solver status by IPOPT - obj: chosen from 'det' and 'trace' - add_fim: if the given FIM needs to be added. Do not add for optimize_doe(). - - Return: - ------ - fim_info: a FIM dictionary containing the following key:value pairs - ~['FIM']: a list of FIM itself - ~[design variable name]: a list of design variable values at each time point - ~['Trace']: a scalar number of Trace - ~['Determinant']: a scalar number of determinant - ~['Condition number:']: a scalar number of condition number - ~['Minimal eigen value:']: a scalar number of minimal eigen value - ~['Eigen values:']: a list of all eigen values - ~['Eigen vectors:']: a list of all eigen vectors - model_info: model solutions dictionary containing the following key:value pairs - ~['obj']: a scalar number of objective function value - ~['det']: a scalar number of determinant calculated by the model (different from FIM_info['det'] which - is calculated by numpy) - -['trace']: a scalar number of trace calculated by the model - -[design variable name]: a list of design variable solution - solver_status: a solver infomation dictionary containing the following key:value pairs - ~['square']: a string of square result solver status - -['doe']: a string of doe result solver status - ''' - self.result = result - self.obj = obj - no_para = len(self.para_name) - - # Extract FIM infomation - FIM = np.ones((no_para, no_para)) - # loop over row - for n1, name1 in enumerate(self.para_name): - # loop over column - for n2, name2 in enumerate(self.para_name): - FIM[n1, n2] = value(m.FIM[name1, name2]) / self.fim_scale_constant_value - - # add prior information - if add_fim: - if (self.prior_FIM is not None): - try: - FIM = FIM + self.prior_FIM - print('FIM prior has been added.') - except: - raise ValueError('Prior FIM has shape ', np.shape(self.prior_FIM), ', but expecting shape ', np.shape(FIM)) - - # call private methods - self.__print_FIM_info(FIM, dv_set=dv_set) - self.__solution_info(m, dv_set) - self.__get_solver_info() - - # if given store file name, store the FIM - if (self.store_FIM is not None): - self.__store_FIM() - - def __print_FIM_info(self, FIM, dv_set=None): - ''' - using a dictionary to store all FIM information - - Parameters: - ----------- - FIM: the Fisher Information Matrix, needs to be P.D. and symmetric - dv_set: design variable dictionary - - Return: - ------ - fim_info: a FIM dictionary containing the following key:value pairs - ~['FIM']: a list of FIM itself - ~[design variable name]: a list of design variable values at each time point - ~['Trace']: a scalar number of Trace - ~['Determinant']: a scalar number of determinant - ~['Condition number:']: a scalar number of condition number - ~['Minimal eigen value:']: a scalar number of minimal eigen value - ~['Eigen values:']: a list of all eigen values - ~['Eigen vectors:']: a list of all eigen vectors - ''' - eig = np.linalg.eigvals(FIM) - self.FIM = FIM - self.trace = np.trace(FIM) - self.det = np.linalg.det(FIM) - self.min_eig = min(eig) - self.cond = max(eig) / min(eig) - self.eig_vals = eig - self.eig_vecs = np.linalg.eig(FIM)[1] - - dv_names = list(dv_set.keys()) - - FIM_dv_info = {} - FIM_dv_info[dv_names[0]] = dv_set[dv_names[0]] - FIM_dv_info[dv_names[1]] = dv_set[dv_names[1]] - - self.dv_info = FIM_dv_info - - if self.verbose: - print('FIM:', self.FIM) - - print('Trace:', self.trace) - print('Determinant:', self.det) - print('Condition number:', self.cond) - print('Minimal eigen value:', self.min_eig) - print('Eigen values:', self.eig_vals) - print('Eigen vectors:', self.eig_vecs) - - def __solution_info(self, m, dv_set): - ''' - Solution information. Only for optimization problem - - Parameters: - ----------- - m: model - dv_set: design variable dictionary - - Return: - ------ - model_info: model solutions dictionary containing the following key:value pairs - ~['obj']: a scalar number of objective function value - ~['det']: a scalar number of determinant calculated by the model (different from FIM_info['det'] which - is calculated by numpy) - -['trace']: a scalar number of trace calculated by the model - -[design variable name]: a list of design variable solution - ''' - self.obj_value = value(m.obj) - print('Model objective:', self.obj_value) - - if self.obj == 'det': - self.obj_det = np.exp(value(m.obj)) / (self.fim_scale_constant_value) ** (len(self.para_name)) - print('Objective(determinant) is:', self.obj_det) - elif self.obj == 'trace': - self.obj_trace = np.exp(value(m.obj)) / (self.fim_scale_constant_value) - print('Objective(trace) is:', self.obj_trace) - - dv_names = list(dv_set.keys()) - dv_times = list(dv_set.values()) - - solution = {} - for d, dname in enumerate(dv_names): - sol = [] - for t, time in enumerate(dv_times[d]): - newvar = eval('m.' + dname + '[' + str(time) + ']') - sol.append(value(newvar)) - solution[dname] = sol - if self.verbose: - print('Solution of ', dname, ' :', solution[dname]) - self.solution = solution - - def __store_FIM(self): - # if given store file name, store the FIM - store_dict = {} - for i, name in enumerate(self.para_name): - store_dict[name] = self.FIM[i] - FIM_store = pd.DataFrame(store_dict) - FIM_store.to_csv(self.store_FIM, index=False) - - def __get_solver_info(self): - ''' - Solver information dictionary - - Return: - ------ - solver_status: a solver infomation dictionary containing the following key:value pairs - ~['square']: a string of square result solver status - -['doe']: a string of doe result solver status - ''' - print('======problem solver output======') - - if (self.result.solver.status == SolverStatus.ok) and ( - self.result.solver.termination_condition == TerminationCondition.optimal): - self.status = 'converged' - print('converged') - elif (self.result.solver.termination_condition == TerminationCondition.infeasible): - self.status = 'infeasible' - print('infeasible solution') - else: - self.status = self.result.solver.status - print('solver status:', self.result.solver.status) - - -class Grid_Search_Result: - def __init__(self, design_ranges, design_dimension_names, design_control_time, FIM_result_list, store_optimality_name=None, verbose=True): - ''' - This class deals with the FIM results from grid search, providing A, D, E, ME-criteria results for each design variable. - Can choose to draw 1D sensitivity curves and 2D heatmaps. - - Parameters: - ----------- - design_ranges: a dict whose keys are design variable names, values are a list of design variable values to go over - design_dimension_names: a list of design variables names - design_control_time: a list of design control timesets - FIM_result_list: a dictionary containing FIM results, keys are a tuple of design variable values, values are FIM result objects - store_optimality_name: a csv file name containing all four optimalities value - verbose: if print statements - ''' - # design variables - self.design_names = design_dimension_names - self.design_ranges = design_ranges - self.design_control_time = design_control_time - self.FIM_result_list = FIM_result_list - - self.store_optimality_name = store_optimality_name - self.verbose = verbose - - def extract_criteria(self): - ''' - Extract design criteria values for every 'grid' (design variable combination) searched. - - Returns: - ------- - self.store_all_results_dataframe: a pandas dataframe with columns as design variable names and A, D, E, ME-criteria names. - Each row contains the design variable value for this 'grid', and the 4 design criteria value for this 'grid'. - ''' - - # a list store all results - store_all_results = [] - - # generate combinations of design variable values to go over - search_design_set = product(*self.design_ranges) - - # loop over deign value combinations - for design_set_iter in search_design_set: - if self.verbose: - print('Design variable: ', self.design_names) - print('Value : ', design_set_iter) - - # locate this grid in the dictionary of combined results - result_object_asdict = {k:v for k,v in self.FIM_result_list.items() if k==design_set_iter} - # an result object is identified by a tuple of the design variable value it uses - result_object_iter = result_object_asdict[design_set_iter] - - # store results as a row in the dataframe - store_iteration_result = list(design_set_iter) - store_iteration_result.append(result_object_iter.trace) - store_iteration_result.append(result_object_iter.det) - store_iteration_result.append(result_object_iter.min_eig) - store_iteration_result.append(result_object_iter.cond) - - # add this row to the dataframe - store_all_results.append(store_iteration_result) - - # generate column names for the dataframe - column_names = [] - # this count is for repeated design variable names which can happen in dynamic problems - count = 0 - for i in self.design_names: - # if a name is in the design variable name list more than once, name them as name_itself, name_itself2, ... - # this is because it can be errornous when we extract values from a dataframe with two columns having the same name - if i in column_names: - count += 1 - i = i+str(count+1) - column_names.append(i) - - # Each design criteria has a column to store values - column_names.append('A') - column_names.append('D') - column_names.append('E') - column_names.append('ME') - # generate the dataframe - self.store_all_results_dataframe = pd.DataFrame(store_all_results, columns=column_names) - # if needs to store the values - if self.store_optimality_name is not None: - store_df.to_csv(self.store_optimality_name, index=False) - - - def figure_drawing(self, fixed_design_dimensions, sensitivity_dimension, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True): - ''' - Extract results needed for drawing figures from the overall result dataframe. - Draw 1D sensitivity curve or 2D heatmap. - It can be applied to results of any dimensions, but requires design variable values in other dimensions be fixed. - - Parameters: - ---------- - fixed_design_dimensions: a dictionary, keys are the design variable names to be fixed, values are the value of it to be fixed. - sensitivity_dimension: a list of design variable names to draw figures. - If only one name is given, a 1D sensitivity curve is drawn - if two names are given, a 2D heatmap is drawn. - title_text: name of the figure, a string - xlabel_text: x label title, a string. - In a 1D sensitivity curve, it is the design variable by which the curve is drawn. - In a 2D heatmap, it should be the second design varialbe in the design_ranges - ylabel_text: y label title, a string. - A 1D sensitivity cuve does not need it. In a 2D heatmap, it should be the first design variable in the dv_ranges - font_axes: axes label font size - font_tick: tick label font size - log_scale: if True, the result matrix will be scaled by log10 - - Returns: - -------- - None - ''' - self.fixed_design_names = list(fixed_design_dimensions.keys()) - self.fixed_design_values = list(fixed_design_dimensions.values()) - self.sensitivity_dimension = sensitivity_dimension - - assert (len(self.fixed_design_names)+len(self.sensitivity_dimension)==len(self.design_names)), \ - 'Error: All dimensions except for those the figures are drawn by should be fixed.' - - assert (len(self.sensitivity_dimension) in [1,2]), 'Error: Either 1D or 2D figures can be drawn.' - - # generate a combination of logic sentences to filter the results of the DOF needed. - if len(self.fixed_design_names) != 0: - if self.verbose: - print( self.fixed_design_names, 'is/are fixed.') - filter = '' - for i in range(len(self.fixed_design_names)): - filter += '(self.store_all_results_dataframe[' - filter += str(self.fixed_design_names[i]) - filter += ']==' - filter += str(self.fixed_design_values[i]) - filter += ')' - if i != (len(self.fixed_design_names)-1): - filter += '&' - # extract results with other dimensions fixed - figure_result_data = self.store_all_results_dataframe.loc[eval(filter)] - # if there is no other fixed dimensions - else: - figure_result_data = self.store_all_results_dataframe - - # add results for figures - self.figure_result_data = figure_result_data - - # if one design variable name is given as DOF, draw 1D sensitivity curve - if (len(sensitivity_dimension) == 1): - if self.verbose: - print('1D sensitivity curve is plotted with ', self.sensitivity_dimension[0], '.') - self.__curve1D(title_text, xlabel_text, font_axes=16, font_tick=14, log_scale=True) - # if two design variable names are given as DOF, draw 2D heatmaps - elif (len(sensitivity_dimension) == 2): - if self.verbose: - print('2D heatmap is plotted with ', self.sensitivity_dimension, '.') - self.__heatmap(title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True) - - - def __curve1D(self, title_text, xlabel_text, font_axes=16, font_tick=14, log_scale=True): - ''' - Draw 1D sensitivity curves for all design criteria - - Parameters: - ---------- - title_text: name of the figure, a string - xlabel_text: x label title, a string. - In a 1D sensitivity curve, it is the design variable by which the curve is drawn. - font_axes: axes label font size - font_tick: tick label font size - log_scale: if True, the result matrix will be scaled by log10 - - Returns: - -------- - 4 Figures of 1D sensitivity curves for each criteria - ''' - - # extract the range of the DOF design variable - x_range = self.figure_result_data[self.sensitivity_dimension[0]].values.tolist() - - # decide if the results are log scaled - if log_scale: - y_range_A = np.log10(self.figure_result_data['A'].values.tolist()) - y_range_D = np.log10(self.figure_result_data['D'].values.tolist()) - y_range_E = np.log10(self.figure_result_data['E'].values.tolist()) - y_range_ME = np.log10(self.figure_result_data['ME'].values.tolist()) - else: - y_range_A = self.figure_result_data['A'].values.tolist() - y_range_D = self.figure_result_data['D'].values.tolist() - y_range_E = self.figure_result_data['E'].values.tolist() - y_range_ME = self.figure_result_data['ME'].values.tolist() - - # Draw A-optimality - fig = plt.figure() - plt.rc('axes', titlesize=font_axes) - plt.rc('axes', labelsize=font_axes) - plt.rc('xtick', labelsize=font_tick) - plt.rc('ytick', labelsize=font_tick) - ax = fig.add_subplot(111) - params = {'mathtext.default': 'regular'} - #plt.rcParams.update(params) - ax.plot(x_range, y_range_A) - ax.scatter(x_range, y_range_A) - ax.set_ylabel('$log_{10}$ Trace') - ax.set_xlabel(xlabel_text) - plt.title(title_text + ' - A optimality') - plt.show() - - # Draw D-optimality - fig = plt.figure() - plt.rc('axes', titlesize=font_axes) - plt.rc('axes', labelsize=font_axes) - plt.rc('xtick', labelsize=font_tick) - plt.rc('ytick', labelsize=font_tick) - ax = fig.add_subplot(111) - params = {'mathtext.default': 'regular'} - # plt.rcParams.update(params) - ax.plot(x_range, y_range_D) - ax.scatter(x_range, y_range_D) - ax.set_ylabel('$log_{10}$ Determinant') - ax.set_xlabel(xlabel_text) - plt.title(title_text + ' - D optimality') - plt.show() - - # Draw E-optimality - fig = plt.figure() - plt.rc('axes', titlesize=font_axes) - plt.rc('axes', labelsize=font_axes) - plt.rc('xtick', labelsize=font_tick) - plt.rc('ytick', labelsize=font_tick) - ax = fig.add_subplot(111) - params = {'mathtext.default': 'regular'} - # plt.rcParams.update(params) - ax.plot(x_range, y_range_E) - ax.scatter(x_range, y_range_E) - ax.set_ylabel('$log_{10}$ Minimal eigenvalue') - ax.set_xlabel(xlabel_text) - plt.title(title_text + ' - E optimality') - plt.show() - - # Draw Modified E-optimality - fig = plt.figure() - plt.rc('axes', titlesize=font_axes) - plt.rc('axes', labelsize=font_axes) - plt.rc('xtick', labelsize=font_tick) - plt.rc('ytick', labelsize=font_tick) - ax = fig.add_subplot(111) - params = {'mathtext.default': 'regular'} - # plt.rcParams.update(params) - ax.plot(x_range, y_range_ME) - ax.scatter(x_range, y_range_ME) - ax.set_ylabel('$log_{10}$ Condition number') - ax.set_xlabel(xlabel_text) - plt.title(title_text + ' - Modified E optimality') - plt.show() - - def __heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True): - ''' - Draw 2D heatmaps for all design criteria - - Parameters: - ---------- - title_text: name of the figure, a string - xlabel_text: x label title, a string. - In a 2D heatmap, it should be the second design varialbe in the design_ranges - ylabel_text: y label title, a string. - In a 2D heatmap, it should be the first design variable in the dv_ranges - font_axes: axes label font size - font_tick: tick label font size - log_scale: if True, the result matrix will be scaled by log10 - - Returns: - -------- - 4 Figures of 2D heatmap for each criteria - ''' - - # achieve the design variable ranges this figure needs - x_range = list(set(self.figure_result_data[self.sensitivity_dimension[0]].values.tolist())) - y_range = list(set(self.figure_result_data[self.sensitivity_dimension[1]].values.tolist())) - - # extract the design criteria values - A_range = self.figure_result_data['A'].values.tolist() - D_range = self.figure_result_data['D'].values.tolist() - E_range = self.figure_result_data['E'].values.tolist() - ME_range = self.figure_result_data['ME'].values.tolist() - - # reshape the design criteria values for heatmaps - cri_a = np.asarray(A_range).reshape(len(x_range), len(y_range)) - cri_d = np.asarray(D_range).reshape(len(x_range), len(y_range)) - cri_e = np.asarray(E_range).reshape(len(x_range), len(y_range)) - cri_e_cond = np.asarray(ME_range).reshape(len(x_range), len(y_range)) - - self.cri_a = cri_a - self.cri_d = cri_d - self.cri_e = cri_e - self.cri_e_cond = cri_e_cond - - # decide if log scaled - if log_scale: - hes_a = np.log10(self.cri_a) - hes_e = np.log10(self.cri_e) - hes_d = np.log10(self.cri_d) - hes_e2 = np.log10(self.cri_e_cond) - else: - hes_a = self.cri_a - hes_e = self.cri_e - hes_d = self.cri_d - hes_e2 = self.cri_e_cond - - # set heatmap x,y ranges - xLabel = x_range - yLabel = y_range - - # A-optimality - fig = plt.figure() - plt.rc('axes', titlesize=font_axes) - plt.rc('axes', labelsize=font_axes) - plt.rc('xtick', labelsize=font_tick) - plt.rc('ytick', labelsize=font_tick) - ax = fig.add_subplot(111) - params = {'mathtext.default': 'regular'} - plt.rcParams.update(params) - ax.set_yticks(range(len(yLabel))) - ax.set_yticklabels(yLabel) - ax.set_ylabel(ylabel_text) - ax.set_xticks(range(len(xLabel))) - ax.set_xticklabels(xLabel) - ax.set_xlabel(xlabel_text) - im = ax.imshow(hes_a.T, cmap=plt.cm.hot_r) - ba = plt.colorbar(im) - ba.set_label('log10(trace(FIM))') - plt.title(title_text + ' - A optimality') - plt.show() - - # D-optimality - fig = plt.figure() - plt.rc('axes', titlesize=font_axes) - plt.rc('axes', labelsize=font_axes) - plt.rc('xtick', labelsize=font_tick) - plt.rc('ytick', labelsize=font_tick) - ax = fig.add_subplot(111) - params = {'mathtext.default': 'regular'} - plt.rcParams.update(params) - ax.set_yticks(range(len(yLabel))) - ax.set_yticklabels(yLabel) - ax.set_ylabel(ylabel_text) - ax.set_xticks(range(len(xLabel))) - ax.set_xticklabels(xLabel) - ax.set_xlabel(xlabel_text) - im = ax.imshow(hes_d.T, cmap=plt.cm.hot_r) - ba = plt.colorbar(im) - ba.set_label('log10(det(FIM))') - plt.title(title_text + ' - D optimality') - plt.show() - - # E-optimality - fig = plt.figure() - plt.rc('axes', titlesize=font_axes) - plt.rc('axes', labelsize=font_axes) - plt.rc('xtick', labelsize=font_tick) - plt.rc('ytick', labelsize=font_tick) - ax = fig.add_subplot(111) - params = {'mathtext.default': 'regular'} - plt.rcParams.update(params) - ax.set_yticks(range(len(yLabel))) - ax.set_yticklabels(yLabel) - ax.set_ylabel(ylabel_text) - ax.set_xticks(range(len(xLabel))) - ax.set_xticklabels(xLabel) - ax.set_xlabel(xlabel_text) - im = ax.imshow(hes_e.T, cmap=plt.cm.hot_r) - ba = plt.colorbar(im) - ba.set_label('log10(minimal eig(FIM))') - plt.title(title_text + ' - E optimality') - plt.show() - - # modified E-optimality - fig = plt.figure() - plt.rc('axes', titlesize=font_axes) - plt.rc('axes', labelsize=font_axes) - plt.rc('xtick', labelsize=font_tick) - plt.rc('ytick', labelsize=font_tick) - ax = fig.add_subplot(111) - params = {'mathtext.default': 'regular'} - plt.rcParams.update(params) - ax.set_yticks(range(len(yLabel))) - ax.set_yticklabels(yLabel) - ax.set_ylabel(ylabel_text) - ax.set_xticks(range(len(xLabel))) - ax.set_xticklabels(xLabel) - ax.set_xlabel(xlabel_text) - im = ax.imshow(hes_e2.T, cmap=plt.cm.hot_r) - ba = plt.colorbar(im) - ba.set_label('log10(cond(FIM))') - plt.title(title_text + ' - Modified E-optimality') - plt.show() - - -def sgn(p): - ''' - Give the signature of a permutation - - Parameters: - ----------- - p: the permutation (a list) - - Return: - ------ - 1 if the number of exchange is an even number - -1 if the number is an odd number - ''' - - if len(p) == 1: - return True - - trans = 0 - - for i in range(0,len(p)): - j = i + 1 - - for j in range(j, len(p)): - if p[i] > p[j]: - trans = trans + 1 - - if (trans % 2) == 0: - return 1 - else: - return -1 - -def simulate_discretize_model(m,NFE,collo=True,initialize=True): - ''' Simulation, discretize, and initialize the Pyomo model. - This is only used with Pyomo.DAE models. - - Parameters: - ----------- - m: Pyomo model - NFE: number of finite elements to consider (integer) - initialize: if True, initialize the discretized model with the - integrator solution (boolean) - - Returns: - ------- - sim: Simulator object from Pyomo.DAE - tsim: Timesteps returned from simulator - profiles: Results returned from simulator - ''' - # Simulate the model using casadi - sim = Simulator(m, package='casadi') - tsim, profiles = sim.simulate(integrator='idas', varying_inputs=m.var_input) - - if not collo: - discretizer = TransformationFactory('dae.finite_difference') - discretizer.apply_to(m, nfe=NFE, scheme='BACKWARD', wrt=m.t) - else: - # Discretize model using Orthogonal Collocation - discretizer = TransformationFactory('dae.collocation') - #discretizer.apply_to(m, nfe=NFE, scheme='LAGRANGE-RADAU', ncp=3, wrt=m.t) - discretizer.apply_to(m, nfe=NFE, scheme='LAGRANGE-LEGENDRE', ncp=3, wrt=m.t) - - if initialize: - # Initialize the discretized model using the simulator profiles - sim.initialize_model() - - return sim, tsim, profiles - - - - \ No newline at end of file diff --git a/pyomo/contrib/doe/GJH/A_print.txt b/pyomo/contrib/doe/GJH/A_print.txt new file mode 100644 index 00000000000..7c859ec2546 --- /dev/null +++ b/pyomo/contrib/doe/GJH/A_print.txt @@ -0,0 +1,31 @@ +1 1 0.008675155814423576 +3 1 -0.22117301598773767 +6 1 1 +1 2 0.006240234300342491 +3 2 -0.15909471486173934 +7 2 1 +1 3 0.003366555450660661 +3 3 -0.08583029958661906 +8 3 1 +1 4 0.0016144259343668075 +3 4 -0.04115977402954044 +9 4 1 +1 5 0.0007258080075524579 +3 5 -0.01850446833375917 +10 5 1 +1 6 0.00031325399481551793 +3 6 -0.007986407654876087 +11 6 1 +1 7 0.00013144286737593058 +3 7 -0.0033511346688753917 +12 7 1 +1 8 5.402845992993365e-05 +3 8 -0.0013774550783293403 +13 8 1 +1 9 -0.006057659656796546 +2 9 0.0007095515604574635 +3 9 0.1544399760397801 +4 9 -0.07930545557229446 +15 9 1 +1 10 -0.0016569746284107907 +2 10 0.0014734997176050397 diff --git a/pyomo/contrib/doe/GJH/H_print.txt b/pyomo/contrib/doe/GJH/H_print.txt new file mode 100644 index 00000000000..052095a5f5a --- /dev/null +++ b/pyomo/contrib/doe/GJH/H_print.txt @@ -0,0 +1,37 @@ +1 1 0 +1 2 0 +2 2 0 +1 3 0 +2 3 0 +3 3 0 +1 4 0 +2 4 0 +3 4 0 +4 4 0 +5 5 0 +6 6 0 +7 7 0 +8 8 0 +9 9 0 +10 10 0 +11 11 0 +12 12 0 +13 13 0 +14 14 0 +15 15 0 +16 16 0 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1 +8 8 0 +8 34 1 +9 9 0 +9 35 1 +10 10 0 +10 36 1 +11 11 0 +11 37 1 +12 12 0 +12 38 1 +13 13 0 +13 39 1 +14 14 0 +14 57 1 +15 15 0 +15 40 1 +16 16 0 +16 41 1 +17 17 0 +17 42 1 +18 18 0 +18 43 1 +19 19 0 +19 44 1 +20 20 0 +20 45 1 +21 21 0 +21 46 1 +22 22 0 +22 47 1 +23 23 0 +23 58 1 +24 24 0 +24 48 1 +25 25 0 +25 49 1 +26 26 0 +26 50 1 +27 27 0 +27 51 1 +28 28 0 +28 52 1 +29 29 0 +29 53 1 +30 30 0 +30 54 1 +31 31 0 +31 55 1 +32 32 0 +33 33 0 +34 34 0 +35 35 0 +36 36 0 +37 37 0 +38 38 0 +39 39 0 +40 40 0 +41 41 0 +42 42 0 +43 43 0 +44 44 0 +45 45 0 +46 46 0 +47 47 0 +48 48 0 +49 49 0 +50 50 0 +51 51 0 +52 52 0 +53 53 0 +54 54 0 +55 55 0 +56 56 0 +57 57 0 +58 58 0 diff --git a/pyomo/contrib/doe/col_row.col b/pyomo/contrib/doe/col_row.col new file mode 100644 index 00000000000..6c651c51c00 --- /dev/null +++ b/pyomo/contrib/doe/col_row.col @@ -0,0 +1,31 @@ +A1 +A2 +E1 +E2 +C[CA,0.0] +C[CA,0.125] +C[CA,0.25] +C[CA,0.375] +C[CA,0.5] +C[CA,0.625] +C[CA,0.75] +C[CA,0.875] +C[CA,1.0] +C[CB,0.0] +C[CB,0.125] +C[CB,0.25] +C[CB,0.375] +C[CB,0.5] +C[CB,0.625] +C[CB,0.75] +C[CB,0.875] +C[CB,1.0] +C[CC,0.0] +C[CC,0.125] +C[CC,0.25] +C[CC,0.375] +C[CC,0.5] +C[CC,0.625] +C[CC,0.75] +C[CC,0.875] +C[CC,1.0] diff --git a/pyomo/contrib/doe/col_row.nl b/pyomo/contrib/doe/col_row.nl new file mode 100644 index 00000000000..f295fa327f5 --- /dev/null +++ b/pyomo/contrib/doe/col_row.nl @@ -0,0 +1,1239 @@ +g3 1 1 0 # problem unknown + 31 27 1 0 27 # vars, constraints, objectives, ranges, eqns + 24 0 0 0 0 0 # nonlinear constrs, objs; ccons: lin, nonlin, nd, nzlb + 0 0 # network constraints: nonlinear, linear + 4 0 0 # nonlinear vars in constraints, objectives, both + 0 0 0 1 # linear network variables; functions; arith, flags + 0 0 0 0 0 # discrete variables: binary, integer, nonlinear (b,c,o) + 107 0 # nonzeros in Jacobian, obj. gradient + 14 11 # max name lengths: constraints, variables + 0 0 0 0 0 # common exprs: b,c,o,c1,o1 +C0 #rate[CA,0.125] +o2 #* +n-2 +o44 #exp +o2 #* +o16 #- +o2 #* +v0 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+o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.125 +o16 #- +o44 #exp +o2 #* +o16 #- +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +n0.125 +C17 #rate[CC,0.25] +o0 #+ +o2 #* +n2 +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.25 +o2 #* +o3 #/ +o2 #* +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n2 +o0 #+ +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +o0 #+ +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.25 +o16 #- +o44 #exp +o2 #* +o16 #- +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +n0.25 +C18 #rate[CC,0.375] +o0 #+ +o2 #* +n2 +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.375 +o2 #* +o3 #/ +o2 #* +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n2 +o0 #+ +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +o0 #+ +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.375 +o16 #- +o44 #exp +o2 #* +o16 #- +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +n0.375 +C19 #rate[CC,0.5] +o0 #+ +o2 #* +n2 +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.5 +o2 #* +o3 #/ +o2 #* +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n2 +o0 #+ +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +o0 #+ +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.5 +o16 #- +o44 #exp +o2 #* +o16 #- +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +n0.5 +C20 #rate[CC,0.625] +o0 #+ +o2 #* +n2 +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.625 +o2 #* +o3 #/ +o2 #* +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n2 +o0 #+ +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +o0 #+ +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.625 +o16 #- +o44 #exp +o2 #* +o16 #- +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +n0.625 +C21 #rate[CC,0.75] +o0 #+ +o2 #* +n2 +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.75 +o2 #* +o3 #/ +o2 #* +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n2 +o0 #+ +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +o0 #+ +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.75 +o16 #- +o44 #exp +o2 #* +o16 #- +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +n0.75 +C22 #rate[CC,0.875] +o0 #+ +o2 #* +n2 +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.875 +o2 #* +o3 #/ +o2 #* +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n2 +o0 #+ +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +o0 #+ +o44 #exp +o2 #* +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n0.875 +o16 #- +o44 #exp +o2 #* +o16 #- +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +n0.875 +C23 #rate[CC,1.0] +o0 #+ +o2 #* +n2 +o44 #exp +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +o2 #* +o3 #/ +o2 #* +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +n2 +o0 #+ +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +o0 #+ +o44 #exp +o16 #- +o2 #* +v0 #A1 +o44 #exp +o2 #* +n-0.3006808876068151 +v2 #E1 +o16 #- +o44 #exp +o16 #- +o2 #* +v1 #A2 +o44 #exp +o2 #* +n-0.3006808876068151 +v3 #E2 +C24 #rate[CA,0.0] +n0 +C25 #rate[CB,0.0] +n0 +C26 #rate[CC,0.0] +n0 +O0 1 #Obj +n0.0 +x31 # initial guess +0 84.79085853498033 +1 371.71773413976416 +2 7.777032028026428 +3 15.047135137500822 +4 2.0 +5 0.719322446055354 +6 0.2587123906995288 +7 0.09304881485140672 +8 0.03346605055073282 +9 0.012036440670982631 +10 0.004329040972625683 +11 0.0015569881707514779 +12 0.0005599882697321022 +13 4.235164736271502e-22 +14 0.9641710429165355 +15 0.9293904918037343 +16 0.6863203566645003 +17 0.4595773835359549 +18 0.29384037884333075 +19 0.18336027583725212 +20 0.11288530579226083 +21 0.06896332740423604 +22 4.235164736271502e-22 +23 0.3165065110281105 +24 0.811897117496737 +25 1.220630828484093 +26 1.5069565659133122 +27 1.6941231804856867 +28 1.8123106831901221 +29 1.8855577060369877 +30 1.930476684326032 +r #27 ranges (rhs's) +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 0.0 +4 2.0 +4 2.0 +4 2.0 +4 2.0 +4 2.0 +4 2.0 +4 2.0 +4 2.0 +4 2.0 +4 0.0 +4 0.0 +b #31 bounds (on variables) +4 84.79085853498033 +4 371.71773413976416 +4 7.777032028026428 +4 15.047135137500822 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +2 0 +k30 #intermediate Jacobian column lengths +24 +40 +64 +80 +81 +82 +83 +84 +85 +86 +87 +88 +89 +90 +91 +92 +93 +94 +95 +96 +97 +98 +99 +100 +101 +102 +103 +104 +105 +106 +J0 3 +5 1 +0 0 +2 0 +J1 3 +6 1 +0 0 +2 0 +J2 3 +7 1 +0 0 +2 0 +J3 3 +8 1 +0 0 +2 0 +J4 3 +9 1 +0 0 +2 0 +J5 3 +10 1 +0 0 +2 0 +J6 3 +11 1 +0 0 +2 0 +J7 3 +12 1 +0 0 +2 0 +J8 5 +14 1 +0 0 +1 0 +2 0 +3 0 +J9 5 +15 1 +0 0 +1 0 +2 0 +3 0 +J10 5 +16 1 +0 0 +1 0 +2 0 +3 0 +J11 5 +17 1 +0 0 +1 0 +2 0 +3 0 +J12 5 +18 1 +0 0 +1 0 +2 0 +3 0 +J13 5 +19 1 +0 0 +1 0 +2 0 +3 0 +J14 5 +20 1 +0 0 +1 0 +2 0 +3 0 +J15 5 +21 1 +0 0 +1 0 +2 0 +3 0 +J16 5 +23 1 +0 0 +1 0 +2 0 +3 0 +J17 5 +24 1 +0 0 +1 0 +2 0 +3 0 +J18 5 +25 1 +0 0 +1 0 +2 0 +3 0 +J19 5 +26 1 +0 0 +1 0 +2 0 +3 0 +J20 5 +27 1 +0 0 +1 0 +2 0 +3 0 +J21 5 +28 1 +0 0 +1 0 +2 0 +3 0 +J22 5 +29 1 +0 0 +1 0 +2 0 +3 0 +J23 5 +30 1 +0 0 +1 0 +2 0 +3 0 +J24 1 +4 1 +J25 1 +13 1 +J26 1 +22 1 diff --git a/pyomo/contrib/doe/col_row.row b/pyomo/contrib/doe/col_row.row new file mode 100644 index 00000000000..f45cf86977e --- /dev/null +++ b/pyomo/contrib/doe/col_row.row @@ -0,0 +1,28 @@ +rate[CA,0.125] +rate[CA,0.25] +rate[CA,0.375] +rate[CA,0.5] +rate[CA,0.625] +rate[CA,0.75] +rate[CA,0.875] +rate[CA,1.0] +rate[CB,0.125] +rate[CB,0.25] +rate[CB,0.375] +rate[CB,0.5] +rate[CB,0.625] +rate[CB,0.75] +rate[CB,0.875] +rate[CB,1.0] +rate[CC,0.125] +rate[CC,0.25] +rate[CC,0.375] +rate[CC,0.5] +rate[CC,0.625] +rate[CC,0.75] +rate[CC,0.875] +rate[CC,1.0] +rate[CA,0.0] +rate[CB,0.0] +rate[CC,0.0] +Obj diff --git a/pyomo/contrib/doe/dynamic.csv b/pyomo/contrib/doe/dynamic.csv index b747948cf2d..f54bdb8517f 100644 --- a/pyomo/contrib/doe/dynamic.csv +++ b/pyomo/contrib/doe/dynamic.csv @@ -1,5 +1,5 @@ A1,A2,E1,E2 -34.828425913213806,8.984651684208941,-93.24075873498869,-36.95321702620609 -8.984651684208941,34.72021957549844,-19.100679298344787,-169.32118934298597 --93.24075873498869,-19.100679298344787,261.9835917850386,82.95164797492055 --36.95321702620609,-169.32118934298597,82.95164797492055,876.135244051602 +46.3444733121616,24.159431853466423,-111.81903475475553,-100.64889224999257 +24.159431853466423,57.1699277062438,-42.450304450495025,-263.9709490806298 +-111.81903475475553,-42.450304450495025,292.5001910201373,182.04332037954907 +-100.64889224999257,-263.9709490806298,182.04332037954907,1280.4914653531032 diff --git a/pyomo/contrib/doe/get_sensitivity.py b/pyomo/contrib/doe/get_sensitivity.py new file mode 100644 index 00000000000..02a5d7fcb27 --- /dev/null +++ b/pyomo/contrib/doe/get_sensitivity.py @@ -0,0 +1,286 @@ +#import idaes +import pandas as pd +import numpy as np +from scipy import sparse +import pyomo.contrib.parmest.parmest as parmest +from pyomo.environ import * +from pyomo.opt import SolverFactory +import shutil +import logging + + +def get_sensitivity(model, theta_names, tee=True, solver_options=None): + ''' + Parameters + ---------- + model: Pyomo ConcreteModel + theta_names: list of strings + List of Var names + tee: bool, optional + Indicates that ef solver output should be teed + solver_options: dict, optional + Provides options to the solver (also the name of an attribute) + + Returns + ------- + gradient_f: numpy.ndarray + gradient vector of the objective function with respect to all decision variables at the optimal solution + gradient_c: numpy.ndarray + gradient vector of the constraints with respect to all decision variables at the optimal solution + Each row contains column number, row number, and value + If no constraint exists, return [] + line_dic: dict + column numbers of the theta_names in the model. Index starts from 1 + Raises + ------ + RuntimeError + When ipopt or kaug or dotsens is not available + Exception + When ipopt fails + ''' + #Create the solver plugin using the ASL interface + + ipopt = SolverFactory('ipopt',solver_io='nl') + ipopt.options['linear_solver']='ma57' + if solver_options is not None: + ipopt.options = solver_options + kaug = SolverFactory('k_aug',solver_io='nl') + dotsens = SolverFactory('dot_sens',solver_io='nl') + if not ipopt.available(False): + raise RuntimeError('ipopt is not available') + if not kaug.available(False): + raise RuntimeError('k_aug is not available') + if not dotsens.available(False): + raise RuntimeError('dotsens is not available') + + # Declare Suffixes + model.dual = Suffix(direction = Suffix.IMPORT) + model.ipopt_zL_out = Suffix(direction=Suffix.IMPORT) + model.ipopt_zU_out = Suffix(direction=Suffix.IMPORT) + model.ipopt_zL_in = Suffix(direction=Suffix.EXPORT) + model.ipopt_zU_in = Suffix(direction=Suffix.EXPORT) + + # K_AUG SUFFIXES + model.dof_v = Suffix(direction=Suffix.EXPORT) #: SUFFIX FOR K_AUG + model.rh_name = Suffix(direction=Suffix.IMPORT) #: SUFFIX FOR K_AUG AS WELL + kaug.options["print_kkt"] = "" + results = ipopt.solve(model,tee=tee) + + # Rasie Exception if ipopt fails + if (results.solver.status == pyomo.opt.SolverStatus.warning): + raise Exception(results.solver.Message) + + for o in model.component_objects(Objective, active=True): + f_mean = value(o) + model.ipopt_zL_in.update(model.ipopt_zL_out) + model.ipopt_zU_in.update(model.ipopt_zU_out) + #: run k_aug + kaug.solve(model, tee=tee) #: always call k_aug AFTER ipopt. + model.write('col_row.nl', format='nl', io_options={'symbolic_solver_labels':True}) + # get the column numbers of theta + line_dic = {} + for v in theta_names: + line_dic[v] = line_num('col_row.col', v) + # load gradient of the objective function + gradient_f = np.loadtxt("./GJH/gradient_f_print.txt") + # load gradient of all constraints (sparse) + # If no constraint exists, return [] + num_constraints = len(list(model.component_data_objects(Constraint, + active=True, + descend_into=True))) + if num_constraints > 0 : + gradient_c = np.loadtxt("./GJH/kkt_print.txt") + gradient_c = reorganize_kkt(gradient_c) + else: + gradient_c = np.array([]) + + # remove all generated files + #shutil.move("col_row.nl", "./GJH/") + #shutil.move("col_row.col", "./GJH/") + #shutil.move("col_row.row", "./GJH/") + #shutil.rmtree('GJH', ignore_errors=True) + return gradient_f, gradient_c, line_dic + + +def reorganize_kkt(gradient): + ''' + Reorganize information in kkt_print.txt to Jacobian matrix + ''' + jaco_kkt = np.zeros((27,4)) + + gra_dict={} + + for c in range(np.shape(gradient)[0]): + l = [] + l.append(gradient[c][0]) + l.append(gradient[c][1]) + gra_dict[tuple(l)] = gradient[c][2] + + for k in range(32,40): + jaco_kkt[k-31][0] = gra_dict[tuple([1,k])] + jaco_kkt[k-31][2] = gra_dict[tuple([3,k])] + + for q in range(40,48): + for x in range(4): + jaco_kkt[q-30][x] = gra_dict[tuple([x+1,q])] + + for l in range(48,56): + for t in range(4): + jaco_kkt[l-29][t] = gra_dict[tuple([t+1,l])] + return jaco_kkt + + +def get_sensitivity_original(model, theta_names, tee=True, solver_options=None): + ''' + Parameters + ---------- + model: Pyomo ConcreteModel + theta_names: list of strings + List of Var names + tee: bool, optional + Indicates that ef solver output should be teed + solver_options: dict, optional + Provides options to the solver (also the name of an attribute) + + Returns + ------- + gradient_f: numpy.ndarray + gradient vector of the objective function with respect to all decision variables at the optimal solution + gradient_c: numpy.ndarray + gradient vector of the constraints with respect to all decision variables at the optimal solution + Each row contains column number, row number, and value + If no constraint exists, return [] + line_dic: dict + column numbers of the theta_names in the model. Index starts from 1 + Raises + ------ + RuntimeError + When ipopt or kaug or dotsens is not available + Exception + When ipopt fails + ''' + #Create the solver plugin using the ASL interface + + ipopt = SolverFactory('ipopt',solver_io='nl') + ipopt.options['linear_solver']='ma57' + if solver_options is not None: + ipopt.options = solver_options + kaug = SolverFactory('k_aug',solver_io='nl') + dotsens = SolverFactory('dot_sens',solver_io='nl') + if not ipopt.available(False): + raise RuntimeError('ipopt is not available') + if not kaug.available(False): + raise RuntimeError('k_aug is not available') + if not dotsens.available(False): + raise RuntimeError('dotsens is not available') + + # Declare Suffixes + model.dual = Suffix(direction = Suffix.IMPORT) + model.ipopt_zL_out = Suffix(direction=Suffix.IMPORT) + model.ipopt_zU_out = Suffix(direction=Suffix.IMPORT) + model.ipopt_zL_in = Suffix(direction=Suffix.EXPORT) + model.ipopt_zU_in = Suffix(direction=Suffix.EXPORT) + + # K_AUG SUFFIXES + model.dof_v = Suffix(direction=Suffix.EXPORT) #: SUFFIX FOR K_AUG + model.rh_name = Suffix(direction=Suffix.IMPORT) #: SUFFIX FOR K_AUG AS WELL + kaug.options["print_kkt"] = "" + results = ipopt.solve(model,tee=tee) + + # Rasie Exception if ipopt fails + if (results.solver.status == pyomo.opt.SolverStatus.warning): + raise Exception(results.solver.Message) + + for o in model.component_objects(Objective, active=True): + f_mean = value(o) + model.ipopt_zL_in.update(model.ipopt_zL_out) + model.ipopt_zU_in.update(model.ipopt_zU_out) + #: run k_aug + kaug.solve(model, tee=tee) #: always call k_aug AFTER ipopt. + model.write('col_row.nl', format='nl', io_options={'symbolic_solver_labels':True}) + # get the column numbers of theta + line_dic = {} + for v in theta_names: + line_dic[v] = line_num('col_row.col', v) + # load gradient of the objective function + gradient_f = np.loadtxt("./GJH/gradient_f_print.txt") + # load gradient of all constraints (sparse) + # If no constraint exists, return [] + num_constraints = len(list(model.component_data_objects(Constraint, + active=True, + descend_into=True))) + if num_constraints > 0 : + gradient_c = np.loadtxt("./GJH/A_print.txt") + else: + gradient_c = np.array([]) + + # remove all generated files + #shutil.move("col_row.nl", "./GJH/") + #shutil.move("col_row.col", "./GJH/") + #shutil.move("col_row.row", "./GJH/") + #shutil.rmtree('GJH', ignore_errors=True) + return gradient_f, gradient_c, line_dic + +def line_num(file_name, target): + """This function returns the line number contains 'target' in the file_name + Parameters + ---------- + file_name: string + file name includes information of variabe order (col_row.col) + target: string + variable name to check + Returns + ------- + count: int + line number of target in the file_name + + Raises + ------ + Exception + When col_row.col doesnot include target + """ + with open(file_name) as f: + count = int(1) + for line in f: + if line.strip() == target: + return int(count) + count += 1 + return count + #raise Exception("col_row.col should includes target") + +def clean_variable_name(theta_names): + """This eunction removes all ' and spaces in theta_names. + Note: The current theta_est(calc_cov=True) of parmest in Pyomo + doesn't allow ' and spaces in the variable names + Parameters + ---------- + theta_names: list of strings + List of Var names + + Returns + ------- + theta_names_out: list of strings + List of Var names after removing all ' and spaces + var_dic: dict + dictionary with keys converted theta_names and values origianl theta_names + """ + + # Variable names cannot have "'" for parmest_class.theta_est(calc_cov=True) + # Save original variables name in to var_dic + # Remove all "'" and " " in theta_names + var_dic = {} + theta_names_out = [] + clean = False + for i in range(len(theta_names)): + if "'" in theta_names[i] or " " in theta_names[i] : + logger.warning(theta_names[i] + " includes ' or space.") + clean = True + theta_tmp = theta_names[i].replace("'", '') + theta_tmp = theta_tmp.replace(" ", '') + theta_names_out.append(theta_tmp) + var_dic[theta_tmp] = theta_names[i] + if clean: + logger.warning("All ' and spaces in theta_names are removed.") + + return theta_names_out, var_dic + diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index b2118449262..b70f8089718 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -246,10 +246,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "d3ee5ff9", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Design variable: {'CA0': {0: 5}, 'T': {0: 570.21, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n" + ] + } + ], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", @@ -381,12 +389,204 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "wicked-raising", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 24144\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 1922\n", + "\n", + "Total number of variables............................: 6406\n", + " variables with only lower bounds: 2316\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 6406\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 7.66e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (280897)\n", + " 1 -3.2041801e+01 1.67e+05 4.32e+05 -1.0 7.66e+02 - 2.58e-03 9.90e-01f 1\n", + " 2 -2.7360130e+01 4.20e+04 4.64e+06 -1.0 8.33e+02 - 1.18e-01 9.90e-01h 1\n", + "Reallocating memory for MA57: lfact (295137)\n", + " 3 -2.3885416e+01 1.03e+04 3.43e+05 -1.0 3.73e+02 - 8.08e-01 1.00e+00h 1\n", + " 4 -2.1104897e+01 2.46e+03 6.88e+03 -1.0 6.89e+01 - 9.91e-01 1.00e+00h 1\n", + " 5 -1.8483523e+01 5.99e+02 1.72e+03 -1.0 2.42e+01 - 1.00e+00 1.00e+00h 1\n", + " 6 -1.6236695e+01 1.37e+02 4.28e+02 -1.0 1.16e+01 - 1.00e+00 1.00e+00h 1\n", + " 7 -1.4826359e+01 2.53e+01 9.99e+01 -1.0 5.03e+00 - 1.00e+00 1.00e+00h 1\n", + " 8 -1.4356896e+01 2.32e+00 1.47e+01 -1.0 1.52e+00 - 1.00e+00 1.00e+00h 1\n", + " 9 -1.4306446e+01 2.85e-02 3.48e-01 -1.0 1.69e-01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.4305829e+01 4.40e-06 1.03e-04 -2.5 2.10e-03 - 1.00e+00 1.00e+00h 1\n", + " 11 -1.4305829e+01 2.64e-13 1.50e-09 -3.8 3.23e-07 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 11\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -1.4305829050578563e+01 -1.4305829050578563e+01\n", + "Dual infeasibility......: 8.8910717677137541e-10 8.8910717677137541e-10\n", + "Constraint violation....: 2.2737367544323206e-13 2.6356694604601216e-13\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.2737367544323206e-13 8.8910717677137541e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 12\n", + "Number of objective gradient evaluations = 12\n", + "Number of equality constraint evaluations = 12\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 12\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 11\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.097\n", + "Total CPU secs in NLP function evaluations = 0.012\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "FIM: [[ 46.3444914 24.15944315 -111.81903818 -100.64870734]\n", + " [ 24.15944315 57.16995403 -42.45028808 -263.97068195]\n", + " [-111.81903818 -42.45028808 292.50015605 182.04287127]\n", + " [-100.64870734 -263.97068195 182.04287127 1280.48874223]]\n", + "Trace: 1676.5033437052477\n", + "Determinant: 1632836.1834134806\n", + "Condition number: 1341.51840758619\n", + "Minimal eigen value: 1.0276187561345163\n", + "Eigen values: [1.37856948e+03 2.92972054e+02 1.02761876e+00 3.93419370e+00]\n", + "Eigen vectors: [[ 0.09102767 -0.33462434 -0.68013822 0.64587346]\n", + " [ 0.19903479 0.02167086 0.68301615 0.70242755]\n", + " [-0.17796084 0.92103913 -0.23711535 0.2525731 ]\n", + " [-0.95938994 -0.19810059 0.12114973 0.16015569]]\n", + "Model objective: 14.305829050578563\n", + "Objective(determinant) is: 1632836.1834134837\n", + "Solution of CA0 : [5]\n", + "Solution of T : [570.21, 300, 300, 300, 300, 300, 300, 300, 300]\n", + "======problem solver output======\n", + "converged\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 25152\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 1931\n", + "\n", + "Reallocating memory for MA57: lfact (321469)\n", + "Reallocating memory for MA57: lfact (338851)\n", + "Total number of variables............................: 6416\n", + " variables with only lower bounds: 2316\n", + " variables with lower and upper bounds: 98\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 6406\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -1.4305829e+01 1.18e-01 1.48e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -1.4321447e+01 1.01e-01 7.69e+00 -1.0 6.36e+01 - 9.47e-01 1.41e-01h 1\n", + " 2 -1.4220000e+01 2.40e+01 5.69e+01 -1.0 2.21e+02 - 6.97e-01 1.00e+00f 1\n", + " 3 -1.3719762e+01 3.21e+01 5.63e+01 -1.0 2.90e+02 - 1.00e+00 9.42e-01f 1\n", + " 4 -1.3377054e+01 2.55e+01 3.32e+01 -1.0 1.53e+02 - 1.00e+00 1.00e+00f 1\n", + " 5 -1.3370445e+01 3.77e-01 2.69e+00 -1.0 1.26e+01 - 1.00e+00 1.00e+00h 1\n", + " 6 -1.3365800e+01 3.01e-03 2.27e-02 -1.0 1.07e+00 - 1.00e+00 1.00e+00h 1\n", + " 7 -1.3372676e+01 5.35e-03 1.57e-01 -2.5 5.51e+00 - 1.00e+00 1.00e+00h 1\n", + " 8 -1.3980505e+01 1.57e+01 9.78e+01 -2.5 1.30e+02 - 1.00e+00 1.00e+00F 1\n", + " 9 -1.3842490e+01 4.80e+00 7.55e+00 -2.5 5.46e+01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.3756903e+01 1.10e+00 2.63e+00 -2.5 2.89e+01 - 1.00e+00 1.00e+00h 1\n", + " 11 -1.3759844e+01 7.51e-03 1.39e-02 -2.5 3.89e+00 - 1.00e+00 1.00e+00h 1\n", + " 12 -1.4175513e+01 1.85e+01 3.95e+01 -3.8 8.85e+01 - 5.60e-01 1.00e+00f 1\n", + " 13 -1.4300654e+01 1.23e+01 1.03e+01 -3.8 1.88e+02 - 1.00e+00 1.00e+00h 1\n", + " 14 -1.4303100e+01 2.71e+00 1.02e+00 -3.8 6.83e+01 - 1.00e+00 1.00e+00h 1\n", + " 15 -1.4293066e+01 1.70e-02 2.17e-02 -3.8 3.13e+00 - 1.00e+00 1.00e+00h 1\n", + " 16 -1.4293051e+01 1.70e-07 2.55e-07 -3.8 3.60e-02 - 1.00e+00 1.00e+00h 1\n", + " 17 -1.4310193e+01 1.00e+00 4.13e-01 -5.7 4.55e+01 - 9.17e-01 1.00e+00f 1\n", + " 18 -1.4308345e+01 8.84e-03 4.07e-03 -5.7 4.40e+00 - 1.00e+00 1.00e+00h 1\n", + " 19 -1.4308378e+01 1.74e-05 9.73e-07 -5.7 3.79e-01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.4308538e+01 2.20e-04 8.75e-05 -8.6 6.45e-01 - 1.00e+00 1.00e+00h 1\n", + " 21 -1.4308537e+01 5.67e-10 2.16e-07 -8.6 2.16e-03 -4.0 1.00e+00 1.00e+00h 1\n", + " 22 -1.4308537e+01 2.26e-10 1.02e-10 -8.6 6.52e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 22\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -1.4308537311814217e+01 -1.4308537311814217e+01\n", + "Dual infeasibility......: 1.0159980836483156e-10 1.0159980836483156e-10\n", + "Constraint violation....: 1.1933933525979343e-10 2.2635049390373752e-10\n", + "Complementarity.........: 2.5059036092815866e-09 2.5059036092815866e-09\n", + "Overall NLP error.......: 2.5059036092815866e-09 2.5059036092815866e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 24\n", + "Number of objective gradient evaluations = 23\n", + "Number of equality constraint evaluations = 24\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 23\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 22\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.208\n", + "Total CPU secs in NLP function evaluations = 0.027\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FIM: [[ 46.24824873 24.02029597 -111.11259575 -98.84096347]\n", + " [ 24.02029597 56.00750616 -41.77758393 -257.36193473]\n", + " [-111.11259575 -41.77758393 290.34323271 177.30691662]\n", + " [ -98.84096347 -257.36193473 177.30691662 1245.84730921]]\n", + "Trace: 1638.4462968124803\n", + "Determinant: 1637264.3239264484\n", + "Condition number: 1318.2046058189794\n", + "Minimal eigen value: 1.018082460753852\n", + "Eigen values: [1.34204099e+03 2.91273175e+02 1.01808246e+00 4.11405006e+00]\n", + "Eigen vectors: [[ 0.09222082 -0.33473764 -0.67734443 0.64857579]\n", + " [ 0.19945077 0.02109713 0.6862249 0.69919216]\n", + " [-0.1793339 0.9206072 -0.23558824 0.25459757]\n", + " [-0.95893382 -0.19997003 0.12164738 0.16018689]]\n", + "Model objective: 14.308537311814217\n", + "Objective(determinant) is: 1637264.3239272628\n", + "Solution of CA0 : [5.0]\n", + "Solution of T : [579.2123483692055, 300.00000829024395, 300.00001529530726, 300.00002224158675, 300.0000306452559, 300.0000437403924, 300.0000694587363, 300.00014505287686, 300.00044564425997]\n", + "======problem solver output======\n", + "converged\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -397,10 +597,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "c6b08c05", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "This optimization is solved with status: converged\n", + "It gives solution: {'CA0': [5.0], 'T': [579.2123483692055, 300.00000829024395, 300.00001529530726, 300.00002224158675, 300.0000306452559, 300.0000437403924, 300.0000694587363, 300.00014505287686, 300.00044564425997]}\n", + "The log10(OF) optimized is: 14.308537311814217\n", + "The result FIM is: [[ 46.24824873 24.02029597 -111.11259575 -98.84096347]\n", + " [ 24.02029597 56.00750616 -41.77758393 -257.36193473]\n", + " [-111.11259575 -41.77758393 290.34323271 177.30691662]\n", + " [ -98.84096347 -257.36193473 177.30691662 1245.84730921]]\n" + ] + } + ], "source": [ "print('======Result summary======')\n", "print('This optimization is solved with status:', optimize_result.status)\n", @@ -510,7 +725,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "flush-diameter", "metadata": {}, "outputs": [], @@ -530,181 +745,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "separate-leone", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "8 design vectors will be searched.\n", - "=======This is the 1 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", - " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", - " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", - " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", - "Trace: 1099.5362969973296\n", - "Determinant: 151638.49432111066\n", - "Condition number: 1703.570882096611\n", - "Minimal eigen value: 0.48581739042098304\n", - "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", - "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", - " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", - " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", - " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", - "This is the 1 run out of 8 run.\n", - "The code has run 1.0615 seconds.\n", - "Estimated remaining time: 7.4307 seconds\n", - "=======This is the 2 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.02261159 5.54977754 -82.63008298 -24.51321679]\n", - " [ 5.54977754 26.73694136 -12.73933851 -140.43848427]\n", - " [ -82.63008298 -12.73933851 242.84405309 59.90239116]\n", - " [ -24.51321679 -140.43848427 59.90239116 771.64515411]]\n", - "Trace: 1070.2487601514676\n", - "Determinant: 149192.95442320604\n", - "Condition number: 1622.8998059170772\n", - "Minimal eigen value: 0.49628780484046486\n", - "Eigen values: [8.05425382e+02 2.62907423e+02 4.96287805e-01 1.41966721e+00]\n", - "Eigen vectors: [[ 0.04428392 -0.31888887 -0.78187111 0.53387863]\n", - " [ 0.17826601 0.01439017 0.55769054 0.81055253]\n", - " [-0.11449466 0.93979064 -0.26124531 0.18824295]\n", - " [-0.97629459 -0.12205064 0.09700365 0.15014259]]\n", - "This is the 2 run out of 8 run.\n", - "The code has run 2.3788 seconds.\n", - "Estimated remaining time: 7.1365 seconds\n", - "=======This is the 3 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 29.20157991 5.87100734 -82.44595307 -25.55675548]\n", - " [ 5.87100734 26.90849468 -13.01883064 -140.90136788]\n", - " [ -82.44595307 -13.01883064 241.43729075 60.77985683]\n", - " [ -25.55675548 -140.90136788 60.77985683 772.90355064]]\n", - "Trace: 1070.4509159748322\n", - "Determinant: 168524.68737728221\n", - "Condition number: 1580.1625855470822\n", - "Minimal eigen value: 0.5107553098330982\n", - "Eigen values: [8.07076431e+02 2.61299149e+02 5.10755310e-01 1.56458074e+00]\n", - "Eigen vectors: [[ 0.04567224 -0.31968839 -0.74716662 0.58090913]\n", - " [ 0.17855066 0.01415856 0.60689182 0.77433941]\n", - " [-0.11564575 0.93931165 -0.24953529 0.20506544]\n", - " [-0.97604291 -0.12366286 0.1056243 0.14453799]]\n", - "This is the 3 run out of 8 run.\n", - "The code has run 3.5011 seconds.\n", - "Estimated remaining time: 5.8352 seconds\n", - "=======This is the 4 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 28.80936121 5.50647601 -81.91342115 -24.28845098]\n", - " [ 5.50647601 26.52090755 -12.54480218 -139.55262806]\n", - " [ -81.91342115 -12.54480218 240.70233696 59.12159177]\n", - " [ -24.28845098 -139.55262806 59.12159177 768.14116197]]\n", - "Trace: 1064.1737676955722\n", - "Determinant: 148311.83717121498\n", - "Condition number: 1621.660778952999\n", - "Minimal eigen value: 0.49426663416652883\n", - "Eigen values: [8.01532815e+02 2.60710753e+02 4.94266634e-01 1.43593331e+00]\n", - "Eigen vectors: [[ 0.04397694 -0.31900169 -0.76997717 0.55085307]\n", - " [ 0.17797981 0.0141827 0.57533056 0.79819596]\n", - " [-0.11334433 0.93990695 -0.25714446 0.19391937]\n", - " [-0.9764949 -0.12087888 0.10003314 0.14778155]]\n", - "This is the 4 run out of 8 run.\n", - "The code has run 4.7998 seconds.\n", - "Estimated remaining time: 4.7998 seconds\n", - "=======This is the 5 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", - " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", - " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", - " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", - "Trace: 1981.042219842969\n", - "Determinant: 561207.9661975782\n", - "Condition number: 2950.219453858868\n", - "Minimal eigen value: 0.5016011129216537\n", - "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", - "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", - " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", - " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", - " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", - "This is the 5 run out of 8 run.\n", - "The code has run 5.8875 seconds.\n", - "Estimated remaining time: 3.5325 seconds\n", - "=======This is the 6 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 37.2710164 8.84450119 -104.07017015 -36.25986207]\n", - " [ 8.84450119 34.59912546 -20.44750819 -169.20389915]\n", - " [-104.07017015 -20.44750819 299.99508643 87.21830573]\n", - " [ -36.25986207 -169.20389915 87.21830573 876.98857123]]\n", - "Trace: 1248.8537995182587\n", - "Determinant: 456984.621667734\n", - "Condition number: 1267.5633174434258\n", - "Minimal eigen value: 0.7302489893151791\n", - "Eigen values: [9.25636831e+02 3.20376491e+02 7.30248989e-01 2.11022786e+00]\n", - "Eigen vectors: [[ 0.0591013 -0.32164501 -0.84761859 0.41784476]\n", - " [ 0.1880015 0.01885726 0.43897561 0.8784078 ]\n", - " [-0.15101642 0.93281443 -0.28759296 0.15601783]\n", - " [-0.96868804 -0.16138812 0.0783162 0.17165062]]\n", - "This is the 6 run out of 8 run.\n", - "The code has run 7.3013 seconds.\n", - "Estimated remaining time: 2.4338 seconds\n", - "=======This is the 7 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 41.74522441 16.87524634 -99.4669227 -62.3483296 ]\n", - " [ 16.87524634 38.88795867 -27.43481158 -180.77598957]\n", - " [ -99.4669227 -27.43481158 264.82602812 109.15494783]\n", - " [ -62.3483296 -180.77598957 109.15494783 908.44848429]]\n", - "Trace: 1253.907695488249\n", - "Determinant: 1161091.8013054593\n", - "Condition number: 1170.358106497793\n", - "Minimal eigen value: 0.8284013252623807\n", - "Eigen values: [9.69526206e+02 2.78359589e+02 5.19349878e+00 8.28401325e-01]\n", - "Eigen vectors: [[ 0.08630722 -0.33686359 -0.71115768 -0.61100634]\n", - " [ 0.19352627 0.01346086 -0.62939795 0.75247898]\n", - " [-0.16881879 0.92224221 -0.27956296 -0.20691563]\n", - " [-0.96260006 -0.18923803 -0.14127113 0.13278769]]\n", - "This is the 7 run out of 8 run.\n", - "The code has run 8.3791 seconds.\n", - "Estimated remaining time: 1.1970 seconds\n", - "=======This is the 8 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 500, 0.25: 500, 0.375: 500, 0.5: 500, 0.625: 500, 0.75: 500, 0.875: 500, 1: 500}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[ 31.93975692 7.76196301 -86.15362453 -30.64071679]\n", - " [ 7.76196301 29.19828026 -15.58409994 -147.05749384]\n", - " [ -86.15362453 -15.58409994 246.45218312 67.69832079]\n", - " [ -30.64071679 -147.05749384 67.69832079 789.38876733]]\n", - "Trace: 1096.9789876284945\n", - "Determinant: 391721.9874042468\n", - "Condition number: 1198.343260089791\n", - "Minimal eigen value: 0.6904322791243135\n", - "Eigen values: [8.27374868e+02 2.66339028e+02 6.90432279e-01 2.57465905e+00]\n", - "Eigen vectors: [[ 0.05295553 -0.32557225 -0.69349396 0.64051897]\n", - " [ 0.18236757 0.01258494 0.67137407 0.71822041]\n", - " [-0.12621181 0.9355106 -0.23310991 0.23355998]\n", - " [-0.97365721 -0.13661713 0.11824874 0.13908499]]\n", - "This is the 8 run out of 8 run.\n", - "The code has run 9.7326 seconds.\n", - "Estimated remaining time: 0.0000 seconds\n", - "The whole run takes 9.73263692855835 s.\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -726,103 +772,22 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "75da1683", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Design variable: ['CA0', 'T', 'T']\n", - "Value : (1.0, 300.0, 300)\n", - "Design variable: ['CA0', 'T', 'T']\n", - "Value : (1.0, 300.0, 500)\n", - "Design variable: ['CA0', 'T', 'T']\n", - "Value : (1.0, 700.0, 300)\n", - "Design variable: ['CA0', 'T', 'T']\n", - "Value : (1.0, 700.0, 500)\n", - "Design variable: ['CA0', 'T', 'T']\n", - "Value : (5.0, 300.0, 300)\n", - "Design variable: ['CA0', 'T', 'T']\n", - "Value : (5.0, 300.0, 500)\n", - "Design variable: ['CA0', 'T', 'T']\n", - "Value : (5.0, 700.0, 300)\n", - "Design variable: ['CA0', 'T', 'T']\n", - "Value : (5.0, 700.0, 500)\n", - "Reminder: the 2 th design variable T is renamed as T2 .\n" - ] - } - ], + "outputs": [], "source": [ "test = all_fim.extract_criteria()" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "c20e6579", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[\"'CA0'\", \"'T2'\"] is/are fixed.\n", - "1D sensitivity curve is plotted with T .\n" - ] - }, - { - "data": { - "image/png": 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\n", 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UaEREisj6nQcYPn4uUxdvoWfLOjw0uDtHNip+RTDjLaEp1MxGmplH3Tbm0H6AmU0wsw1mtt/Mkszsqqg2F5nZFDPbYmZ7zGyWmV1Q+K9GRCRrGRnOv2eu4ozHpzNz+XbuPr8z/7vhuDKRZKB47NEsBgZE3E/Poe1xwFzgYWADcCYw2syS3f2NsM3JwKfAXcB24DJgvJkNcPfP4xy7iEiOlm/Zy7Cxc/l65XZOaF+fBy/qRou6xbsIZrwVh0ST5u7Z7sVEcvcHohY9Z2anAIOBN8I2f4pqc4+ZnQsMBJRoRKRIpKVn8OIXK3jioyVUrlCOhy/uzi97NS9x5WPiIaZEY2bLgUHuPieLdV2Bie7eNsYY2prZOiAFmAXc6e7LY3h8LWBtLm1qAjtijEtEJF8WrN/N7WPnMG/dbs7s0oj7LuxKw1olpwhmvMW6R9MaqJzNuipAqxi3NwsYAiwCGhIMd80wsy7uvi23B5vZecBpwPE5tLkZaA78O4c21wHXAbRs2TKG8EVEfnYwLZ1nPl3Kc9OWUadaRZ69rCdnd21cJvdiIuVn6MyzWd4b2BnThtw/iLxvZjOB5cCVwOM5PdbMjicYLvuju3+dTZvBwCPAJe6+Koc4RgOjAXr37p3d6xMRyda3q7YzdOxclm7ey+CezRlx3lHUqVYyi2DGW66JxsxuAW4J7zrwrpmlRDWrCtQF3ipIMO6+18zmA0fmEtMJwPvAX939uWzaDCbYi7nC3ScWJC4RkezsO5jGI5MX8+pXK2lauyqvXtWXkzs0SHRYxUpe9miWA5+Ev18JzAa2RLU5CCwAXixIMGZWBegETM2hzUnAe8BId38ymza/Al4FrnT3MQWJSUQkO5//uIU7xs1l7Y4DXHlsK247qxM1KheHOVbFS6494u4TgAlA5jjjve6+Ih5PbmaPAu8CqwmO0YwAqhMkCczsQaCvu58W3h9AkGSeBV43s8bhptLdfUvY5hKCPZlbgc8i2qS4+/Z4xC0iZduu/anc/94C/vftWto2qM7/bjiWPq3rJjqsYium1Ovuv4vz8zcH3gTqE+wlzQT6RxxPaQK0i2g/BKhGkERujVi+imCiAsANBK/ryfCWaTqHnq8jIhKzD+dtZMSEeWzfl8JNA9rxx9OOLHVFMOPN3GM79m1mVwKXAi0JZppFcndvd/ijSo7evXv77NmzEx2GiBQzm/ckM3LifN6fu5HOTWrx8MXd6dqsdqLDKjbM7Ft3753VuljPoxkB3APMA34gODYjIlJquTtjv1vHfZMWcCA1ndvO7Mh1J7Ut1UUw4y3Wo1ZXA0+5+y25thQRKeHW7tjPnePn8dmSLfRudQSjBnenfcMaiQ6rxIk10dQjOHgvIlJqZRbBfOjDRQDcc0EXLu/finLlyvaJl/kVa6KZDhxNULRSRKTUWbZlL0PHJDF71Q5O6tCABwZ1pfkRZasIZrzFmmj+DIwzs20EJ0weNl3Y3TPiEJeISJFKTc9g9GfLeeqTH6lasTyP/vJoBvdsVubLx8RDrIlmSfjz5WzWez62KSKSUPPW7eL2MUks2LCbc7o1ZuQFXWhYs+wWwYy3WJPCvWRf60xEpERJTk3nqU9+ZPRny6lbvRLP/7YnZ3VtkuiwSp1YT9gcWUhxiIgUqW9WbmfomCSWb93HL3s1565zO1O7WsVEh1UqaZhLRMqUvQfTePjDRbz21SqaH1GVf1/dlxOPVBHMwpSvRGNmRwMdObwyAO7+WkGDEhEpDNOXbOHOcXNZv+sAQ45rzW1ndqS6imAWulgrA9QhKGrZP3NR+DPyuI0SjYgUKzv2pXDfewsY99062jWozpgbjqVXKxXBLCqxpvIHCE7aPAn4HBgE7AKuAo4FLolrdCIiBeDufDBvI3+dMI+d+1P5w6ntufmU9iqCWcRiTTRnEtQ6mxneX+vu3wLTzOw54E/AFXGMT0QkXzbvTmbEhHlMnr+Jbs1q89pV/ejctFaiwyqTYk00TYDl7p5uZslAzYh14yjgFTZFRArK3fnft2u5f9ICDqZlMOzsTlxzQhsqqAhmwsSaaDYCdcLfVxEMl00L77ePT0giIvmzZvt+7hg3ly+WbqVv67qMGtyNtg1UBDPRYk00XxAkl0kEV7G828xaA2kEl3meGNfoRETyID3Dee2rlTz84WLKGdw3sCuX9W2pIpjFRKyJ5h6gafj7IwQTA35NcNXLicAf4heaiEjufty0h6Fjk/hu9U4GdGzA3wZ1o1mdqokOSyLEWhlgGbAs/D0V+Et4ExEpUqnpGTw/bRlPf7qU6pXL8+Sve3Bhj6YqglkM6UwlESlx5q7dxW1j5rBo4x7O696EkRd0oX6NyokOS7IRc6IxsyuBS4GWHF4ZwN29XTwCExGJlpyazhMfL+GFz5ZTv0ZlRl/ei190aZzosCQXsVYGGEFwnGYe8ANwsBBiEhE5zKzl2xg2bi4rtu7jkj4tuOOco6hdVUUwS4JY92iuBp5y91sKIxgRkWh7klN56MNF/GfmalrUrcrr1/Tj+Pb1Ex2WxCDWRFMPeLcwAhERiTZ10WbuHD+XTbuTueaENvzfLzpQrZIOLZc0sb5j04GjgU8LIRYREQC270vh3nfn884P6zmyYQ2evfE4jml5RKLDknyKNdH8GRhnZtuA94Ht0Q3cPSMOcYlIGeTuTErawMiJ89l1IJU/nXYkN53SjsoVVASzJIs10SwJf76czXrPxzZFRNi0O5nh4+fx8cJNdG9em9ev7UenxiqCWRrEmhTu5dBrz4iIFIi78/Y3a/jb+wtJSctg+DlH8bvjW6sIZikSa2WAkYUUh4iUQau27eOOcXOZsWwb/drU5aHB3Wldv3qiw5I40zCXiBS59Azn5S9X8OiUxVQsV44HBnXjkj4tVASzlFKiEZEitXjjHm4fm8ScNTs5rVND7h/UlSa1VQSzNMs10ZhZOnCsu39tZhnkfIzG3V3JS0QOk5KWwbPTlvKPqUupWaUiT13SgwuOVhHMsiAvSeFeYG3E75oMICIxmbNmJ7ePSWLxpj1c2KMpfz2vM/VUBLPMyDXRuPs9Eb+PjOeTm9lI4O6oxZvcPcsqeWY2ALgF6AvUBpYCT7r7SxFtmgCPAT2BI4F/u/uQeMYtInlzICWdxz9azL++WEHDmlV48YrenN65UaLDkiKWr2EuM2sBtODw6s24e6xVAxYDAyLup+fQ9jhgLvAwsAE4ExhtZsnu/kbYpjKwFRgFXBdjLCISJzOWbeWOcXNZtW0/v+nXkmFnd6JWFRXBLItird7cFnidYI8CIHNw1cPfHYj1FN40d9+Yl4bu/kDUoufM7BRgMPBG2GYl8Mcw3otjjEVECmh3cioPvr+IN79eTat61Xjz2v4c265eosOSBIp1j+ZFguvQ/BlYBKTEIYa2ZrYu3NYs4E53Xx7D42vx8zEkEUmgjxdsYvg7c9my5yDXndSWW07vQNVKKh9T1sWaaPoAQ9x9bJyefxYwhCBpNQTuAmaYWRd335bbg83sPOA04PiCBGFm1xEOs7Vs2bIgmxIpk7btPcg97y5g4pz1dGpck9GX9+boFnUSHZYUE7EmmrXEZy8GAHf/IPK+mc0ElgNXAo/n9FgzO55guOyP7v51AeMYDYwG6N27t2bVieSRuzNxznpGTpzP3oNp3HJ6B24c0I5KFVQ+Rn4Wa6J5ABhqZp+6+754B+Pue81sPsFssWyZ2QkE1aP/6u7PxTsOEcndhl0HuGv8PD5ZtJkeLerw8MXd6dCoZqLDkmIo1lpn/zazTsDKcO9jx+FN/Mr8BmNmVYBOwNQc2pwEvAeMdPcn8/tcIpI/GRnOm9+s5sH3F5Ge4Yw4rzNDjmtNeZWPkWzEOutsCHAHwRTknhw+jBbTsJOZPUpwxc7VBMdoRgDVgVfD9Q8Cfd39tPD+AIIk8yzwupllnm+T7u5bIrbbI/y1FpAR3k9x9wWxxCcih1qxdR/DxiYxa8V2jm9fjwcHdadlvWqJDkuKuViHzu4BxgNXu/vOODx/c+BNoD6wBZgJ9Hf3VeH6JkC7iPZDgGrAreEt0yqgdcT976Oe5/ws2ohIHqWlZ/DSlyt4bMoSKlUox0ODu/Gr3i1UPkbyJNZEUw94Nk5JBne/JJf1Q7K4PySrtlHt9NcvEicLN+xm6Ngkktbu4ozOjbh/YFca1TrsXG2RbMWaaL4AjgI+KYRYRKQYOZiWzj+mLuPZqUupXbUiz/zmGM7t1kR7MRKzWBPNn4D/mtkO4EMOnwyAu2fEIzARSZzvVu9g6Jgkfty8l0HHNOOv53XmiOqVEh2WlFCxJpqF4c/Xslnv+dimiBQT+1PSeHTyEl6esYImtarw8pA+nNKpYaLDkhIu1qSgywSIlFJfLt3KsHFJrNl+gMv7t+L2szpSU0UwJQ5iPY9mZCHFISIJsutAKg+8t5C3Z6+hTf3qvH1df/q1VRFMiZ88JxozqwS8DTzh7p8VXkgiUlSmzN/IXe/MY9u+FG44uR1/Pv1IqlRUEUyJrzwnGndPMbPTgacKMR4RKQJb9hxk5LvzeS9pA0c1qcW/ruxDt+a1Ex2WlFKxHqP5EugPTIt/KCJS2Nyd8d+v495JC9h/MJ1bf9GB609uR8XyKoIphSfWRPMX4B0z2wu8Q3CVy0MmB2h6s0jxtG7nAYaPn8u0xVvo2TIogtm+oYpgSuGLNdHMDX8+RdZDaJreLFLMZGQ4r89axagPFuHAyPM7c/mxKoIpRUfTm0VKseVb9jJs7Fy+XrmdE4+szwODutGiropgStHS9GaRUigtPYMXPl/BEx8voUqFcjxycXcu7tVc5WMkITTMJVLKzF+/i6Fjk5i3bjdndmnEfRd2paGKYEoCxZxozOwYguvGnATUIbhezHdm9gDwmbt/GN8QRSQvklPTefrTH3l++nKOqFaJ5y7rydndmiQ6LJGYL3x2AvAxsBx4A/h9xOoM4AaCYpsiUoS+XbWd28cksWzLPgb3bM6I846iTjUVwZTiIdY9mlHAZGAgUJ5DE813wBXxCUtE8mLfwTQembyYV79aSdPaVXn1qr6c3KFBosMSOUSsiaYncJG7u5lFzz7bCugvXKSIfLZkC3eMm8v6XQe4on8rbjurEzUq67CrFD+x/lUmE1xKOStNgF0FC0dEcrNrfyr3vbeAMd+upW2D6vz3+mPp07puosMSyVZ+rrD5ZzObELEsc8/mauDTuEQlIln6cN4GRkyYz/Z9Kdw0oB1/PE1FMKX4izXRjCCodzYHGEOQZK40s8eBXkCf+IYnIgCb9yRz94T5fDBvI12a1uLlIX3o2kxFMKVkiPWEzTlmdhLwCDAcMIIJAZ8DJ7v74viHKFJ2uTtjvl3L/e8t5EBqOref1ZFrT2yrIphSosR85NDdvwNOM7MqQF1gp7vvj3tkImXcmu37uXP8XD7/cSt9Wh/BqMHdadegRqLDEolZrOfRLAcGufscd08G1kes6wpMdPe2cY5RpEzJyHBe+2olD09ejAH3XtiF3/ZrRTkVwZQSKtY9mtZA5WzWVQFaFSgakTJu6ea9DBubxOxVOzipQwMeGNSV5keoCKaUbPmZdJ9d9ebewM78hyJSdqWmZzD6s+U89fGPVK1Unsd+eTQX9WymIphSKuSaaMzsFuCW8K4D75pZSlSzqgTHa96Kb3gipd+8dbu4fUwSCzbs5txuTRh5QRca1Mxu4ECk5MnLHs1y4JPw9yuB2cCWqDYHgQXAi/ELTaR0S05N56lPfmT0Z8upW70Sz/+2F2d1bZzosETiLtdE4+4TgAlA5m78ve6+opDjEinVvlm5naFjkli+dR+/6t2c4ed0pna1iokOS6RQxHoeze8KKxCRsmDvwTQe/nARr321iuZHVOU/V/fjhCPrJzoskUKl69GIFJGpizczfNxcNuxO5nfHt+bWX3SkuopgShmg69GIFLId+1K4b9ICxn2/jvYNazDmhuPo1eqIRIclUmR0PRqRQuLuvD93I3dPnMfO/an88dT23HxqeypXUBFMKVt0PRqRQrB5dzJ3vTOPKQs20a1ZbV67qh+dm9ZKdFgiCRFrZb64Xo/GzEaamUfdNubQfoCZTTCzDWa238ySzOyqLNqdbGbfmlmymS03sxtiiUskv9yd/36zhtMen870JVu44+xOjL/pOCUZKdOKw/VoFgMDIu6n59D2OGAu8DCwATgTGG1mye7+BoCZtQHeB14CfgucADxrZlvcfWw+4hPJk9XbgiKYXyzdSt82dRl1UTfaqgimSLG4Hk2au2e7FxPJ3R+IWvScmZ0CDCaYnADBhIT17v6H8P5CM+sH3Aoo0UjcpWc4r8xYyaOTF1O+nHH/wK78pm9LFcEUCcU0dObucwimNW/i0OvRQP6vR9PWzNaZ2Qoze8vMYq3+XAvYEXH/WGBKVJvJQG8zy/KMODO7zsxmm9nsLVuiix6IZO/HTXu4+PkZ3DdpAf3b1mXKLSfx2/6qtCwSKdHXo5kFDAEWAQ2Bu4AZZtbF3bfl9mAzOw84DTg+YnFjginYkTYRvNb6BENuh3D30cBogN69e2dXNFTkJylpGTw/fRnPfLqU6pXL8+Sve3Bhj6YqgimShVjPo6lCUKW5CcGw2Qbg2/w+ubt/ELX9mQTn6FwJPJ5LLMcTDJf90d2/jt50dPNslovELGntTm4fk8SijXs4/+im3H1+Z+rXUBFMkezkKdGYWWWCA/DXElyPJvKDO9nMngPudPfoqs4xcfe9ZjYfODKXeE4gOOD/V3d/Lmr1RoK9mkgNgTQg170kkewkp6bzxEdLeOHz5TSoWZkXrujNGZ0bJToskWIvL5cJMGAScCpBcc33gdUEyaYFcB7BZQQ6A+cUJJhwj6kTMDWHNicB7wEj3f3JLJp8RXBCaaQzgNnunlqQ+KTsmrl8G8PGJrFy234u7duCYWcfRe2qKoIpkhd52aO5GDgFuNjdx2ex/kUzuwj4r5ld5O7j8vrkZvYo8C5B4mpIMKutOvBquP5Bglpqp4X3BxAkmWeB180sc88l3d0zj+I/D/zezJ4E/klw/GYIcGle4xLJtCc5lVEfLOL1WatpWbcab1zTj+PaqwimSCzykmguBf6bTZIBwN3Hmdn/gMuAPCcaoDnwJsFB+i3ATKC/u68K1zcB2kW0H0Jwwuit4S3TKoLLTOPuK8zsHOAJ4EZgPcFxHE1tlph8umgTw8fPY9PuZK45oQ3/94sOVKukIpgiscrLf80xBLPBcjMJuD+WJ3f3S3JZPySL+0OyahvVbjpBuRyRmG3fl8K9787nnR/W06FRDZ697DiOaakimCL5lZdE04BgaCs3mcNfIiWSu/Nu0gZGTpzPnuRU/nTakdx8SnsqVYi1UpOIRMpLoqlGcKnm3KQAVQoWjkhibNwVFMH8eOEmjm5em4cu7kenxqpPJhIPeR1wbpaHM/abFzQYkaLm7rz1zRoeeG8hqRkZDD/nKK46oQ3ldWa/SNzkNdGMyUMbQydESgmyats+ho2dy1fLt9G/bV1GXdSd1vWrJzoskVInL4nmd4UehUgRSs9wXv5yBY9OWUzFcuV48KJu/Lp3C9UnEykkuSYad3+1KAIRKQqLN+7h9rFJzFmzk9OPasj9A7vRuLYOLYoUJp0UIGVCSloGz05byj+mLqVmlYr8/dJjOL97ExXBFCkCSjRS6v2wZidDxySxeNMeLuzRlLvP70Ld6pUSHZZImaFEI6XWgZR0HpuymJe+XEHDmlX415W9Oe0oFcEUKWpKNFIqzVi2lWFj57J6+35+068lw87uRK0qKoIpkghKNFKq7E5O5cH3F/Lm12toXa8ab17bn2Pb1Ut0WCJlmhKNlBofL9jE8HfmsmXPQa4/qS1/Pr0DVSuVT3RYImVegRONmfUEWoZ3V4eXehYpMtv2HmTkuwt4d856OjWuyQtX9KZ78zqJDktEQvlONGbWC3idoBpA5oXQWoXTRX/j7vm+xLNIXrg7E35Yzz3vzmfvwTT+74wO3HByOxXBFClmCrJHMxr4vbt/HLnQzM4AXkBl+qUQrd95gLvemcenizbTo0UdHr64Ox0a1Ux0WCKShYIkmhrRSQbA3T8ys2cKsF2RbGVkOG98vZpRHywiPcMZcV5nhhzXWkUwRYqxgiSazWb2O+A1d08HMLPyBLXRtsYjOJFIK7buY9jYJGat2M7x7evx4KDutKxXLdFhiUguCpJorgSeB540s/XhsqbA1+E6kbhIS8/gX1+s4PGPllCpQjkeHtydX/ZurvIxIiVEvhONuy8HfmFm9Tl01pn2ZiRuFqzfzdCxScxdt4szOjfi/oFdaVRLRTBFSpICT28OE8shycXMGrr75oJuW8qug2npPPPpUp6btow61Sryj9/05JxujbUXI1ICFdYJm7P5eS9HJCbfrtrB0LFJLN28l4uOacaI8zpzhIpgipRYBTmP5oIcVmtsQ2K2PyWNRyYv5pUZK2lSqwov/64Pp3RsmOiwRKSACrJHMx6YTnCiZjSd0CAx+eLHrQwbl8TaHQe44thW3H5WJ2pUVoUkkdKgIP/JPwJXu/uK6BVmtqYA25UyZNeBVP723gL+O3stbepX57/XH0vfNnUTHZaIxFFBEs2rQH3gsERDMO1ZJEeT529kxDvz2LYvhRsHtONPpx1JlYoqgilS2hRkevODOaz7W363K6Xflj0HGTlxPu/N3cBRTWrxryv70K157USHJSKFJKZEY2Z/Br4Dvnf3PYUSkZRa7s6479Zx76QFHEhJ57YzO3LdSW2pWF5FMEVKs1j3aEYBFQE3s2XAtwSJ51vgO3ffFef4pJRYt/MAd46by/QlW+jV6ggeGtyN9g01Z0SkLIg10XQGPgK2A0sJzpU5H6hGkHzmEFR1fsHdM+IZqJRMGRnOf2at4qEPFuHAyPM7c8WxrSmnIpgiZUasieZ5YLy735q5wMzqAn8FLgNmAH8DLjazc9w9NW6RSomzbMteho1N4puVOzjxyPo8MKgbLeqqCKZIWRNrojmBYPjsJ+6+HfizmVUl2NPpTZBwbgWynTAgpVdqegYvfL6cJz/+kSoVyvHIxd25uJeKYIqUVbEehd0MHJPNureBK9x9JfAEwR6OlDHz1u1i4D++5OEPF3Nqx4Z8/JeT+WXvFkoyImVYrInmNeAuM8sq2TQjOK8GgskB7XLbmJmNNDOPum3MoX0VM3vFzJLMLNXMpmXT7mYzW2hmB8xssZldkftLk4JITk3nkcmLuPAfX7Jp90Geu6wnz1/ei4Y1VY1IpKyLdejsPqA7MNPM3gbeBzYCHYG7CYppAlQG8np8ZjEwIOJ+eg5tywPJwDPAOUCd6AZmdiPwEHAtMAvoC7xgZjvc/d08xiQxmL1yO7ePTWL5ln1c3Ks5d517FHWqqQimiARiSjThwf2BZnYdcBvwW8AJ6p3NB64Pm/YHluVxs2nunu1eTNTz7wNuADCz7mSRaIDLCWa9vRneX25mfYChgBJNHO07GBTBfPWrlTStXZXXrurLSR0aJDosESlm8lUZwN1HA6PNrC3QBNgC/OjuHjb5gKDgZl60NbN1QArBHsid4UXV8qsywV5PpANAXzOrmNVMuDBxXgfQsqWubpAX05ds4c5xc1m/6wBXHtua287sSHUVwRSRLBTkMgGVwoRwWFJw95l53MwsYAiwCGgI3AXMMLMu7r4tn6FNBq42s3EEQ3m9gGsITjStD2zIIt7RBOf/0Lt3b49eLz/buT+F+yYtZOx3a2nboDr/u/5YerdWEUwRyV6sJWgqAPcQfPuva2Y7gI+Bv7v7jFif3N0/iNr+TILEdSXweKzbC90HNCaYYm3AJoICoLeT8/EfycUHczcwYsJ8duxP4eZT2vGHU1UEU0RyF+sezXDg/wg+uJcCLYBTgc/NbLi7j8rpwblx971mNh84sgDbOABcZWbXA40I9mCuA/YQdclpyZvNu5P564T5fDh/I12a1uLVq/rQpamKYIpI3sSaaK4gOIbyRORCM7sKeNbMFrr7hPwGY2ZVgE7A1PxuI1N4LGZtuN1LgEkqixMbd2fMt2u5b9ICktMyGHpWJ649sQ0VVARTRGIQa6JpQlBE8xDu/pKZdSCoBpDnRGNmjxLMBFtNcIxmBFCdYI8JM3sQ6Ovup0U8pjNQieB4Sw0z6xHG8EO4vgPQD5gJHEGwB9aVYDhO8mjN9v3cOX4un/+4lT6tj2DU4O60a1Aj0WGJSAkUa6L5EehB1jPKPgRuinF7zYE3CZLGFoLk0N/dV4Xrm3D4iZ/vA60i7n8f/sw89bw8QXLpSHAuz1TguLBigeQiPcN57auVPDJ5MQbcd2EXLuvXSkUwRSTfYk00/wLuNrPpmXsQEZoDe2PZmLtfksv6IVksa53LYxaSfZkcycHSzXsYOnYu367awckdGvC3QV1pfoSKYIpIwcSaaJ4GTgZmhZUBPiCoDNCeoDLAh/ENT4pCanoG/5y+jL9/spRqlcvz+K+OZtAxzVSfTETiItbKAG5mvwRuAf5EUBkg0xTgL3GMTYrAvHW7uG1MEgs37Obc7k0YeX4XGtSsnOiwRKQUyTXRmNnpBFfP3A4Qztx6DHjMzDoSHF9Z5e5rCzVSiavk1HSe/PhHXvh8OXWrV+Kfl/fizC6NEx2WiJRCedmjmUJw9cxV/HzZ5sxLNy8mKIopJcjXK7YzbGwSy7fu49e9W3DnOUdRu1rFRIclIqVUXhJNF6AnQSmXXsAwoCZB8llLmHT4OflsKqRYpYD2JKfy8IeL+ffMVTQ/oir/ubofJxxZP/cHiogUQK6JJpzFtRB4PXNZeK5KL35OQH8BahNUclZNkmJo6uLNDB83lw27k7nq+DbcemYHqlVSEUwRKXz5rd68BFhCcA4MAGbWniDxSDGyY18K901awLjv19G+YQ3G3HAcvVodkeiwRKQMidtXWndfSlD/TIoBd+e9uRu4e8J8dh1I5Y+ntufmU9tTuYJ2OEWkaGnspBTatDuZEe/MY8qCTXRrVpv/XNOPo5rUSnRYIlJGKdGUIu7Of2ev4f73FpKSlsEdZ3fi6hNUBFNEEkuJppRYvW0/w8YlMWPZNvq2qctDg7vTpn71RIclIqJEU9KlZzivzFjJo5MXU76ccf/Arvymb0sVwRSRYkOJpgRbsmkPt49J4oc1OzmlYwP+NqgbTetUTXRYIiKHUKIpgVLSMnh++jKe/vRHalSuwFOX9OCCo5uqCKaIFEtKNCXMnDU7GTo2iUUb93D+0U0ZeX5n6tVQEUwRKb6UaEqIAynpPPHxEl78fDkNalbmhSt6c0bnRokOS0QkV0o0JcBXy7Zxx7gkVm7bz6V9W3DHOUdRq4qKYIpIyaBEU4ztTk5l1AeLeGPWalrWrcYb1/TjuPYqgikiJYsSTTH16aJN3DluHpv3JHPtiW34vzM6UrWSyseISMmjRFPMbNt7kHsnLWDCD+vp2Kgmz1/eix4t6iQ6LBGRfFOiKSbcnYlz1nPPuwvYk5zKn08/kpsGtKdSBZWPEZGSTYmmGNiw6wB3jZ/HJ4s2c3SLOjw8uDsdG9dMdFgiInGhRJNAGRnOW9+s4cH3F5KakcFd5x7F745vQ3mVjxGRUkSJJkFWbt3HsHFJzFy+nWPb1mPU4G60qqcimCJS+ijRFLH0DOelL1bw2EeLqViuHA9e1I1L+rRQ+RgRKbWUaIrQoo27GTomiTlrd3H6UQ25f2A3GteukuiwREQKlRJNETiYls4/pi7j2alLqV21Ik9fegzndW+ivRgRKROUaArZ96t3MHRsEks27WVgj6b89fwu1K1eKdFhiYgUGSWaQrI/JY3HpizhpS9X0LhWFV4a0ptTO6kIpoiUPUo0cfLO9+t4ZPJi1u88QL3qlXBg274ULuvXkmFnd6KmimCKSBmlRBMH73y/jjvGzeVAajoAW/elYMDvT2nPrWd2TGxwIiIJpvomcfDI5MU/JZlMDoz/fl1iAhIRKUYSmmjMbKSZedRtYw7tq5jZK2aWZGapZjYtm3a/MbMfzGy/mW00s/+YWePCeh3rdx6IabmISFlSHPZoFgNNIm7dcmhbHkgGngHey6qBmR0P/Bt4FegCDAQ6A6/HLeIoTetUjWm5iEhZUhwSTZq7b4y4bcmuobvvc/cb3H00sDabZscCa939CXdf4e4zgaeBfoUQOwC3ndmRqhUPvVZM1YrluU3HZ0REikWiaWtm68xshZm9ZWZtC7i9L4EmZna+BeoDlwDvZ/cAM7vOzGab2ewtW7LNc9kaeEwzHryoG83qVMWAZnWq8uBF3Rh4TLN8vwgRkdLC3D1xT252NlATWAQ0BO4COgFd3H1bLo99Bujq7gOyWDcYeBmoSjCz7iPgQnfP9aBJ7969ffbs2TG+EhGRss3MvnX33lmtS+gejbt/4O7/dfckd/8YOC+M6cr8btPMOgN/B+4DegFnAY2Bf8YhZBERiVGxOo/G3fea2XzgyAJs5g7ga3d/JLyfZGb7gM/NbLi7rylwoCIikmfF4RjNT8ysCsHQ2YYCbKYakB61LPO+qliKiBSxRJ9H86iZnWxmbcysHzAGqE4wNRkze9DMPol6TGcz6wHUB2qYWY/wfqZ3gQvN7EYzaxtOd/478J27ry6ClyUiIhESPXTWHHiTIGlsAWYC/d19Vbi+CdAu6jHvA60i7n8f/jQAd3/FzGoCvwceA3YBU4HbC+MFiIhIzhI666w4MrMtwKpcG2avPrA1TuGUBeqv2Ki/YqP+ik1B+quVuzfIaoUSTZyZ2ezspvjJ4dRfsVF/xUb9FZvC6q9iNRlARERKHyUaEREpVEo08Tc60QGUMOqv2Ki/YqP+ik2h9JeO0YiISKHSHo2IiBQqJRoRESlUSjQiIlKolGhyYGY3h5eN3h3evjKzcyPWW3g56vVmdsDMpplZl6htVDazp81sq5ntM7OJZta86F9N0TOzO8PLcz8TsUx9FsrtUubqq6yZWRMze9XMtphZspktMLOTI9ar30JmtjKLvzE3s/fC9UXSV0o0OVsLDAV6Ar2BT4F3zKx7uP524C/AH4A+wGbgo7AETqYngcHApcCJQC1gkpkdeknOUsbM+gPXAklRq9Rnh8rpUubqqyhmVofg4oYGnAscRdA/myOaqd9+1odD/756Ag78N1xfNH3l7rrFcAO2A9cT/KFvAIZHrKsK7AGuD+/XBlKAyyLatAAygDMT/VoKsY9qA8uAU4FpwDPhcvXZof00EpiXzTr1Vdb98gDwZQ7r1W85999wYCdBlfsi6yvt0eSRmZU3s0uAGsAMoA3BBdWmZLbx4AqenwHHhYt6ARWj2qwBFka0KY1GA2Pc/dOo5eqzw2V3KXP1VdYGArPM7G0z22xmP5jZ780s8xIg6rdshH10NfAfd99PEfaVEk0uzKybme0FDgLPA4PcfS7BGwSwKeohmyLWNSa4Fk50kbrINqWKmV0LtAdGZLFafXaoWcAQ4GyCYcbGwAwzq4f6KjttgZuA5cCZwFPAKODmcL36LXtnECSXF8P7RdZXib5MQEmwGOgB1CEYp3zVzAZErI8+49WyWBYtL21KHDPrSDC0caK7p+TQVH1GcCnzyPtmNpPgA/RKgktmgPoqWjlgtrvfEd7/3syOJEg0z0S0U78d7lrgG3f/IWp5ofeV9mhy4e4p7r7U3TP/uH8AbgEyZwdFZ/WG/PwNYSNQnqD0dnZtSpNjCV7rPDNLM7M04GTgpvD3bWE79VkW3H0vkHkpc/19ZW0DsCBq2UKgZfi7+i0LZtYQuBB4IWJxkfWVEk3sygGVgRUEb8IZmSssuBT1iQTHcAC+BVKj2jQnmCmT2aY0eYdg1lSPiNts4K3w9yWoz7Jlh17KXH9fWfsS6Bi1rAM/X0NK/Za1IQTD/29FLCu6vkr0LIjifCMY+z0RaE3wAfogwWyLs8P1Q4HdwEVA1/BNXA/UjNjGc8A64HTgGIKrff4AlE/06yuiPpxGOOtMfXZY3zxKsMfXBugHTAr7ppX6Kts+6xN+8A0nOBb4S4Kr6N6sv7Fs+8wIvuS9kMW6IumrhHdCcb4BrxB8UzpIML/8YyKm9IVv4EiCb6DJwHSga9Q2qgBPEwwb7QfeBVok+rUVYR9GJxr12c+vM/OfOiX8Rx4LdFZf5dpv5wJzwj5ZAvyRsECw+i3L/jqF4HhK3yzWFUlfqXqziIgUKh2jERGRQqVEIyIihUqJRkRECpUSjYiIFColGhERKVRKNCIiUqiUaEQKWTYXnoq+rczh8a9EtJsWsbx1uOyaqPb1zex7M9tuZn3CZR9HbOM/hfVaRbKiopoihe/YqPvjCU44HBmx7GAu29gIDCI4iztbZtYI+ARoBJzqPxdQ/APBtUXG5ylikThSohEpZO4+M/K+mR0EtkYvz8XB3NqbWTOCJFMbONndfyo+6e4LI55bpEgp0YiUAmbWkuBS45UJksySBIck8hMlGpGSry3BVREdOMndVyQ4HpFDKNGIlHx3EFwFsYuSjBRHmnUmUvJ9SFCF9ykzq5zoYESiKdGIlHxjgauAXwD/M7OKCY5H5BBKNCKlgLu/CtwAnA+8YWblExySyE+UaERKCXcfDfwJuBh4zcz0/y3FgiYDiJQi7v738DjNw8BBM7vadXVDSTAlGpFSxt0fCZPNfQSX570pwSFJGadEI1LE3L11fh5nZhWCh3t6uJ2VBLPNsnqO+4H7Ix5bDg2VS4LoD0+kZGgFpBKUmMmPKeHjW8UtIpE8Mg3fihRvZtYaqB/e3ePui/OxjQ5ArfDuNp3YKUVJiUZERAqVhs5ERKRQKdGIiEihUqIREZFCpUQjIiKFSolGREQK1f8DnvByZ3TSplMAAAAASUVORK5CYII=\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "## draw 1D sensitivity curve \n", "\n", @@ -841,69 +806,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "16be2b47", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[\"'T2'\"] is/are fixed.\n", - "2D heatmap is plotted with ['CA0', 'T'] .\n" - ] - }, - { - "data": { - "image/png": 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6xm9mlVHRmuydwGciYnazBLl558a8HCHpI6STQUMO/GZWCVWdgSsi9u/FPhe02u7Ab2aV0MlePVXnwG9mlVDVGn+9/LRvo149f4+IeWXy6NcmMUmzmoxHfVHeLkmTJD0gaa6kaZLWqctjcUknSpoj6VlJF0h6S4n33lHSrZLm55/j++pzmtnAGFJyGWwkLSvpIEm3A3eRhoQ4DvgecBJwBfCEpN/lHkAt9fcx2IjU/7W2bAAE8Lu8/WvAgcB+Oe3DwGWSli7kcQLpgYdPA+8njYB3oaSmJ3tJo4HfAmeR7nyfBfxe0iYd+lxmNsAq3KvnQOBu4CvAFFLPnjVJN28XIz1rMJo0f8CypJh5uaS1muXZr009tSfYaiTtBTxFCsIC9geOjohz8vYJpOC/M3CKpDcCewF7RMRlOc1upIcktiYdlEb2B/4SEUfk10fk4VD3J51AzKwCBltQL2kXYE/ggiYPZz2cl2uAH0lamdTn/8MsOCjcKwbsqicH+r2AMyPiOWB10pnr0lqaiJhLGrXufXnVhqT7N8U09wK3FdI0Mrq4TzalzT5mNojUbu6WWQaTiNggIs4r80RuTv9ARHwlIo5rlmYgb+6OJQX7n+fXtbEtHqpL9xDpEedampdINzPq04yguRFN8m26j6TPAZ8DWHXVlVpkbWavB91yc7cTBvI+x2eBf0TEDXXro+61GqyrVyZNj/KNiFMjYlREjFphheXaZG1mrwdVvLkraUhPljJ5DsgxkLQi8FHgZ4XVtafS6mvhK/JqbX026aQ+vEWaRma3ydfMBrmq3twFXujB8nyZDAeqqWciMB/4TWHdTFKAHkuamgxJw0g9d76a01xH+nBjyRMY566c76T1XJjT8z7HFtaNbbOPmQ0yg602X5JInWDOJXVkWWj9HvjzTd3PAL+JiKdr6yMiJJ1Ams3+duDfwLdIc12endM8KekXwLGSHgYeBY4njU9xeeE9pgLX5llzAH4EXCXpYOCPwHjgA8DmfflZzaz/VLiN/zBSz54JpM4upwO/j4hnepvhQJwgx5CmGvtZg23HkAL5T4EZpL7+2xRPEKSpz84l9cv/P9KJ4cMR8VIhzRp5XwAi4mpgJ9KBuxHYHfhURFzTmY9kZgOtwr16JkXE24EtSRXiHwCzJZ0laZtcme4RRbS7J2qjRq0TM2b8dqCLYT3wBq030EWwHnoOrisxAXpTa0vxy5JpN1vI9xpIkhYjzdy1G2l8/keA70XEyWXzqGiTmJl1mwrf3F1AngT+d6TnoI4H3gxs05M8PEibmVVG1WuyucPLDqTm6q1JE7UfC5S92AEc+M2sIip8c5c8xMxuwMdJH/VcYDvgiuhFe70Dv5lVRhVr/JLuIQ3B/BdgX+CcPJxNrznwm1klDCENVVlBbwWeA9YGjgSObNGRJyJitXYZOvCbWWVUscYPnNbpDB34zawSqtrGHxF7dDpPB34zq4wqBv6+4MBvZpUgqtnUI+ltPUkfEXe3S+PAb2aVUBuyoYLupP2w80VtL3wc+M2sMira1OM2fjOzRip8c9e9eszMmqloG/+QsvPtllXF42RmXajCg7S9IGnj2gslh0lqNc94Sw78ZlYJnQz8kr4g6UZJT+VluqRxLdKPkXS+pAclPZf33bNBui0lXSdpnqS7Je1d8qMVDQEOIQ3j0CsO/GZWCR2eiOU+4OvABsAo4ArgPEnvbpL+fcBNpEHU1gVOAk6VtPMr5ZNWBy4mTfn6XuAo4ERJO5b/lK/o8eQrRW7jN7PK6FRNNiLOr1t1iKR9gNGkWfzq0x9Zt+qkPKLmjuSpY4G9gQciYr/8+jZJmwAHAed0qOiluMZvZpXQV238koZK2glYilRbL2sZ4PHC69HApXVppgCjJLW7EGnUj7/X0ye6xm9mldGDoD5c0ozC61Mj4tRiAknrAdOBYaS5vcdHxE1lMpe0PbAVsFlh9Qjg8rqkD5Hi8HDSpCrN/EnS83XrLpb0Qt06j85pZl2mbBvGy8wpMefuHcD6wLKkJpvTJI2JiJtb7SRpM1Lzzpci4tq6zfW1dDVZX+R+/GZmDfXkCa4SveIj4nnScAkAMyRtBBxAmuu2cRGkzUk3cA+NiJPqNs8m1fqLVgReBB5tUQ4/uWtm1lBPBuupbyApZwiweNO3l7YALgImRcQJDZJMJ82XWzQWmBERvStRL/nmrplVR4fu7ko6WtL7JY2UtJ6ko4AxwFl5+1GSphbSjwEuAU4GzpI0Ii8rFLI9GXiLpBMkvVPSZ4CJwHFtyrJB+xK/Zp9hktZutt2B38yqobPdekYAZ5La+acCGwHbRcQleftKwBqF9BOBJUldMx8sLP+oJYiImcCHgC2AG0gPYX0pItp15bxK0gWStpXUMmZLWlXSN4GZwPbN0rmpx8yqo0NV2YiY2JPt+XXLfXK6K0kPhfXEWsD3gPOBpyRNB/4FPALMB5YD3gZsTHp4bCZwYESc3Tg7B34zq4qKDs8ZEfcDe0r6BmmI5g8CXwGWKCSbCVwFfAOYEhEt+/g78JtZNVR4JhaAiHgY+H5ekLQs6RmDR3t6c9iB38yqo4I1/mYi4one7uubu2ZWDbVJd8ssg1gelvkjko6T9CtJq+X1W0oqNWKna/xmVh0Vr/FLWo70gNgmwFPA0sCJwD3AZ4HHgC+1y2eQn/vMzLIKz8RScCzwVtIYQMNZcHjmy0njA7XVtMYv6fReFuzbEXFPL/c1M+u96ldlPwocFBHTJdWfwv5LOim01aqpZ1fS2BLze1CoVYETSJcdZmb9p+K9erKlgPubbBtGyQla2rXx79BgdLmGJC0C1A8bambWPyraj7/OHcA2vHZ4Z4AtSbOAtdUq8E8FnuxBgV7K+zzVg33MzDqjOwL/T4GfSnqSV2f2WlbSHsAXgc+VyaRp4I+IsT0pTX5SrEf7mJl1VMXb+CPiZ5LWAL4LHJZXX0YaaPqYiDirTD6tbu5uGBHXlclE0k8i4otl0pqZ9YnuqPETEd+QdBKpor0iaSz/yyLi7rJ5tGrqmSLpA+2mGpP0C9LgRA78ZjZwuuPmLgC55+TPe7t/qwuje4HLJa3VaGN+euwM0qBBh/a2AGZmHVPxfvyS9pA0qcm2SZImlMmnVeDfmjTs59TcplR8g6HAb4BdgK9FxBGlSm1m1le6Y8iGL9N8msaHgf3LZNL0EETEo8D/kGaXnyppVQBJiwLnAJ8AvhwRLWePMTPrNxWv8QNrArc02XYbC04O01TLc18eBnQr0mTAV0h6O3AB8GHg8xFxYunimpn1pe4YsuFF0lANjazQZP1rtL3oyZMAfIB0uG4hNQFNjIiflX0TM7N+Uf2mnmuBvZts25vCVI+ttOrOuWfdqrOBg0kTCi9avz0iflnmDc3M+oSAxQa6EH3uCFKnm2tIvXruB1YBPkOa0rHUs1StunM26yq0XV6KAnDgN7OBU7u5W2ERcaWkj5PGRDulsGkWsGNETCuTT6vAv3pvC2dm1u+65wGu84Hzc1f7NwFzIuLfPcmj1ZANHmHTzAaXitf4iyLijt7u6xm4SlkCWHegC2E98OzLA10C6yktbNDukho/gKT3AGuRhmJeQES0nUul1c3dK4B9I+L2kgUZQhoq9PMR8Z8y+5iZdVTFA7+kZYGLgE1rq/LPKCRrG/hbnWPHkOZzLF2mXuxjZtYZtbF6yiyD15Gkdv0tSJ94POlB27OAu4GNy2TSrqnnPEk9mYEr2icxM+sD3dHU80HSkMx/z6/vy6MoT8sjdn4Z2L1dJq0C/2m9LNicXu5nZrZwqn9zdyXg7oh4SdI8FmxhOZc0hlpbrXr17LFw5TMz60fdUeOfDSybf78HGA1My6/XLJuJe/WYWXVUv8b/N1KwvxA4A/iOpJGkMXwmkMZSa6v6h8nMukNtyIYyS7uspC9IulHSU3mZLmlci/TDJE3O+7wgaVqDNGMkRYNl7R58yu8Cf86/H0uag3cc8GlS0N+vTCau8ZtZNXR2yIb7gK8D/8m5TiB1dtkwIm5skH4oMA/4CfAhXm2OaWQd4LHC60fKFioi7gLuyr+/AByYlx5x4Dez6uhQG38eFqHoEEn7kJpZXhP4I+JZ8qiZkt5N68D/cET0uBOMpMVIbfwTI6JUk04zbuoxs2roo/H4JQ2VtBOwFHB1B0o6Q9KDkqZK+kDZnSLieVJb/ryFLUDTwC/p7vxYsJnZ4FB+PP7hkmYUls/VZyVpPUnPAPOBk4HxEXHTQpTuQWAfYEfgY8AdpNkNt+hBHucBH1+IMgCtm3pGAosv7BuYmfWLnnXnnBMRo9qkuQNYn9RssyNwmqQxEXFzb4qXB1UrDqw2PffIOQi4qmQ2lwA/lvQH0kngQeoenI2IK9pl4jZ+M6uG2pANHZKbVu7ML2dI2gg4ANirc+/CNcBOPUh/Tv75sbzUBOkIBCVOf+0Cv4dgMLPBoe8f4BpC51tB1ifV2sv6HzoQl9sF/u9KKnP3OSJiwsIWxsxsoXSou4qko0mjYN5LGhZhZ9IglOPy9qOAjSNiq8I+7yI9JTAcWErS+gARcUPevj9ppqxbcrpdgR1IzUillJ1hq512gX990o2NdnxlYGYDq7M1/hHAmfnnk6QunNtFxJS8fSVgjbp9LgZWK7z+Z6FkkIL9caQ5cueSTgDjIuLisoWSdDfpJvO/GmxbF7ggIt7WLp92gX+HiLi2bKHMzAZU5/rxT+zp9ogY2WafY4BjFqZctO50M4wFTzxN+eaumVVDF0y2njVrYRkFPFEmAwd+M6uGDvfqeb2QdACpNxGkoP8nSc/XJVsCWJ6FHZbZzGzQqeawzHcDU/PvE4AZvHZ8n/nArcDPy2TYajz+7rhoMrNqqOh4/HncoPMBJAEcFhEzFyZP1/jNrDoqXl3t1ARZFT9MZtY1+miQtoEm6QBJw3q4zwaStm223YHfzKqhdnO3zDK47A7MknR0q4EzJS0naTdJl5Jm6lqmWVo39ZhZNVS0jR/YANiNNOHK1yQ9BdxEusE7H1gOeBvpgbL5wG+Bd0XErGYZOvCbWXVUsA0jIgI4HThd0ibAtsAmpGA/DHgU+CtwBHB+RDzRLk8HfjOrhurW+F8REdeQRvRcKA78ZlYdFQ/8neLAb2bVUPEhGyStCGwHvIv0lC6kSdtvBS6JiIfL5uXAb2bVUN0hG4aQ2u8PII3w+RzwOOkTLwssCTwv6QTg4HxPoCUHfjOrjmo29RwM7E8K/mfU99aRtBqp188hwNM5XUsO/GZWDdW9uftZUk3+hEYbI+Ie4HBJzwJfxoHfzLpKNdv438yrk7q0cn1O21Y1D5OZdZ+KDtkA3Ea5Cdk/DdxeJkPX+M2sOgZfUC/jMOAPktYiTQd5C+nmbpB696wD7AJsCXy8TIYO/GZWDRXt1RMR50kaBxxFGm+/vteOgH8BH46IS8rk6cBvZtVQ4X78eZL3KZLeQqrhL0/6xI8Bt0TEvT3Jz4HfzKqjmk09r4iI+4D7Fjafip4fzazrVPfmbimShkvaokxaB34zq44hJZdq2hL4S5mEbuoxs2oYQhrQwNpy4Dez6qhgbV7SL0smXa1sng78ZlYN1R2yYSLwJPBMm3RLlM3Qgd/MqqOCNX7gv8ClEfG5VokkfZw07WJbDvxmVg3VrfHPAEaVSNd2OOaaap4fzaw7VbM75wXAnBLpbiUN79CWa/xmVg3VHbLhdNJk6+3S3QZ8t0yervGbWTV08AEuSV+QdKOkp/IyPY+X0yz9MEmT8z4vSJrWJN2Wkq6TNE/S3ZL27uGn7AgHfjOrjs49wHUf8HVgA1L7+hXAeZLe3ST9UGAe8BPgokYJJK0OXAxcDbyXNOjaiZJ2LFWiDnJTj5lVQwdv7kbE+XWrDpG0DzAauLFB+meBvQHyyWHZBtnuDTwQEfvl17dJ2gQ4CDinTLkkvUzzm7hB6vZ5PXBsRFzaLJ9+rfG3u3xSMknSA5LmSpomaZ26PBaXdKKkOZKelXRBHrGu3XvvKOlWSfPzz/F98RnNbAD1wZANkoZK2glYilRb763RQH0wngKMklT27sT3gHuBR4DJwPeB0/Lr+4AzgBWASyRt3yyT/m7qaXf59DXgQGA/YCPgYeAySUsX8jgB2JE028z7gWWACyU1PddLGk3q33oWsH7++ft8tjWzKqgN2VBmgeGSZhSW1/SRl7SepGeA+cDJwPiIuGkhSjgCeKhu3UOklpfhJfOYB8wERkbEXhHxzYjYE1gdmEU6AWxAOsF8s1km/Rr4I+L8iLgkIu6MiH9HRG1W+NGSRJpJ/uiIOCcibgYmAEsDOwNIeiOwF/DViLgsIq4nzS7/bmDrFm+9P/CXiDgiIm6LiCOAaXm9mVVF+Rr/nIgYVVhObZDbHaSK4qbAScBpktZdyBI2mkSl0fpm9gZ+GBHzFsg0Yi7wQ2DviHiZNGFLs/sRA3dzt8Hl0+qkM+Irl0L5w1wFvC+v2pDUYauY5l7SnJS1NI00u8RqtY+ZDTYaWm4pISKez5XUGRFxMHADcMBClG42KcYVrQi8CDxaMo8Vad5pdTHgTfn3Obx6UnmNfg/8LS6fagek0aVQbdsI4CVe+zBDMU0jzS6xmu4j6XO1y8BHHnmkRdZm9vogUqtJmaVXhgCLL0QBp/PalomxwIyIeKFkHjOASZJWKq6UtDLwnbwd0oBtDzTLZCB69dQun5YltdWfJmlMYXujS6F2l0Fl0vQo33zpdyrAqFGjSj8KbWYDpRb4y5jfOifpaFK3zHt5tbl5DDAubz8K2Dgitirs8y5SrXs4sJSk9QEi4oac5GTgi5JOAE4BNiMNwPbpkoUG+DIwFZgpaTrpPuiKpFaN54Bdc7o1gbObZdLvgT8ingfuzC9nSNqIdPl0RF43gnSwa1bk1dr6bFKHreGkmxjFNFe1eNtml1j1VwFmNmj1JPC3NQI4M/98ktSFc7s89y3ASsAadftczIJDI/+zUDAiYqakD5Ha4vch1ci/FBGlunLmPK6XtCapE8wmwHrAg8APgOMj4tGc7tBW+bwe+vHXLp9mkgL0WOAfkJ6GI/Xc+WpOex3wQk5zdk7zFuCdtO5mNT3vc2xh3dg2+5jZoCJgWMm0T7bcGhETe7o9Ika2e9eIuJLU66bXcnBv2mOnjH4N/K0unyIi8iXQIZJuB/4NfIs0BvXZABHxpKRfAMdKeph0Q+R40tn48sL7TAWuzTdkAH4EXCXpYOCPwHjgA8DmffqBzawfdbTG/7omaXlS887ypHue10TEY2X37++j1O7y6RjSZAI/BZYDrgG2iYinC3kcQLoL/tucdiqwe0S8VEizBoXmooi4OvcgOpw0iNFdwKci4pqOf0IzGyDdEfglHU5q6ineaJ4v6biI+HaZPPr1KJW4fApgUl6apZlHesBrvxZpRjZY9wfgD6UKamaD1OAbc7knJO1Paub5BakSXbt/uSvwTUmPRMSP2+VT/dOjmXWJrqjx7w38KCKKzxPcAVyZu8nvC7QN/B6d08wqos/78b8ejKTJ6J95/cgymQzqI2Bm9qohlO/VM2g9CqxLoTNLwTqUfALYgd/MKqTyIe2PwPckPQr8JiJekLQI8AnStIunlcmk8kfJzLpFV7TxHwy8hxTgfynpMVKXzqHA3yjZv7/yR8nMukX1A39EPC1pC9LQEVuQur0/BlwJXJJ7RrZV7aNkZl2k+oEfXun2fmFeeqX6R8nMukRPhmwYPNpMt1gvIqJtXHfgN7OKqGyN/zDKB/5SKnmUzKwbVTPwR8SkTudZvaNkZl2qmoG/L/gomVlFOPCX5aNkZhXhwF+Wj5KZVYRYuClxu4cDv5lVhGv8ZfkomVlFOPCX5aNkZhXikFaGj5KZVYRr/GX5KJlZRTjwl+WjZGYV0RUTsXSEA7+ZVYhDWhk+SmZWEW7qKctHycwqwoG/LB8lM6sIB/6yfJTMrCKqORFLX3DgN7OKcI2/LB8lM6sIAUMHuhCDwpCBLoCZWWfUavxlljY5SV+QdKOkp/IyXdK4NvusJ+lKSXMl3S/pUEkqbB8jKRosa/f6I/eSa/xmVhEdbeq5D/g68B9SBXkCcJ6kDSPixte8s7QMcBlwFbARsBYwGXgW+EFd8nWAxwqvH+lUocty4DezCulMSIuI8+tWHSJpH2A08JrAD+wCLAlMiIi5wM2S3gl8RdLxEVGcLP3hiJjTkYL2kpt6zKwiakM2lFnKkzRU0k7AUsDVTZKNBv6ag37NFGBlYGRd2hmSHpQ0VdIHelSYDnGN38wqokdNPcMlzSi8PjUiTl0gN2k9YDrpTPEMMD4ibmqS3whS81DRQ4VtM4EHgX2AfwCLAbsBUyWNiYiryha8Exz4zawiehT450TEqDZp7gDWB5YFdgROy0H65ibpo+61iusj4o6cZ810SSOBg0j3BvqNA7+ZVUjnQlpEPA/cmV/OkLQRcACwV4Pks0k1+6IV88+HaO4aYKeFKWdvuI3fzCqic905mxhC89ncpwPvl1S8gTAWeACY1SLP9UlNQP3KNX4zq4jOdeeUdDRwEXAvsDSwMzAGGJe3HwVsHBFb5V3OBr4DTJZ0OPAO4BvAd2s9eiTtTzoJ3EJq498V2IHUjNSvHPjNrCI6OhHLCODM/PNJUhfO7SJiSt6+ErBGLXFEPClpLPBTYAbwOKn//vGFPBcDjgNWAeaSTgDjIuLiThW6LAd+M6uQjvXjn9jT7bnHzxYt9jkGOGZhy9YJDvxmVhEepK0sHyUzqwgH/rJ8lMysIjw6Z1kO/GZWEZ6IpSwHfjOrCDf1lOWjZGYV4cBflo+SmVWEA39ZPkpmVhEO/GX5KJlZhTiklaEFJ4axRiQ9Atwz0OXoI8OBAZ0NyHqkyt/XahGxQm93lvRn0vEpY05EbNvb9xrsHPi7nKQZJcYlt9cJf1/WCR6W2cysyzjwm5l1GQd+O7V9Ensd8fdlC81t/GZmXcY1fjOzLuPAb2bWZRz4zcy6jAN/RUnaQtIFku6XFJImlthnPUlXSpqb9ztUkvqhuF1P0qT8PRWX2W328fdlveLnm6trKeBm4PS8tCRpGeAy4CpgI2AtYDLwLGnSaOt7dwBjCq9fapbQ35ctDAf+ioqIi4GLASRNLrHLLsCSwISImAvcLOmdwFckHR/u/tUfXoyIlrX8An9f1mtu6rGa0cBfcxCpmQKsDIwckBJ1n7flJpuZkn4j6W0t0vr7sl5z4LeaEcBDdeseKmyzvnUNMBHYDvgs6ZhfLelNTdL7+7Jec1OPFdU3D6jJeuuwiLik+FrS34G7gQnA8c12q3vt78tKcY3fambz2priivlnfc3S+lhEPAPcAry9SRJ/X9ZrDvxWMx14v6RhhXVjgQeAWQNSoi6Wv4e1gQebJPH3Zb3mwF9RkpaStL6k9Unf86r59ap5+1GSphZ2ORt4DpgsaV1JHwO+AbiHSD+QdJykLSWtLmkT4A/AG4DT8nZ/X9YxDvzVNQr4Z16WAL6bfz8sb18JWKOWOCKeJNUYVwZmAD8l9Qdv1r5snfUW4NekvvznAvOBTSOiNvObvy/rGI/OaWbWZVzjNzPrMg78ZmZdxoHfzKzLOPCbmXUZB34zsy7jwG9m1mUc+M3MuowDv/U7SaMl/U7SA5Kel/SopMskTZA0tI/ec3JhZqtphfUTC+vf0WC/MYXtWxfWf6uw/r6+KLNZX3Hgt34laX/g/4Dlga8DWwN7Av8GTgK278O3n00ax37fBtueBnZrsH73vK3er3JeF3esdGb9xMMyW7+RtAVpSIGfRMSX6jafL+l40vg0fWV+RPy9ybZzgV0lHVob60bSEsCOwDmksfJfERH3A/dLeqQPy2vWJ1zjt/70DeAx4GuNNkbEXRFxY/8W6RVnAKsBmxfWjQeGkgK/WWU48Fu/yG33Y4BLI2LeABenkXtIE5cXm3t2B/4IPDMgJTLrIw781l+Gk0YJvaddwgF0OvAJScMkrUS6/3D6AJfJrOMc+O11S9IbJD0l6ay69WtI+pukf0v6p6RRHXrL3wOLAx8GdiHdDJ7acg+zQciB3/rLo8BcUjt6WZ8C/gWMk7RcYf3JwOSIeAfpfsFZktQog56IiKeB80jNPbsDZ0XEywubr9nrjQO/9YuIeBGYBoyVtHjJ3fYiTS4yhVQDR9IKwKbkmaki4rKcdsMOFfV0YBywHm7msYpy4Lf+dDTwJuDYRhvztIPvzr+/kzTj1IXAL0gnAYBVgQci4oXCrvfk9Z1wGfA74OSIuKVDeZq9rrgfv/WbiLhK0leA43Ngnwz8F1gO2Ar4DLAzcCMp0J8RES9KuhxYXlKzWv1CN/MUyvgS8OlO5Wf2euQav/WriDiB1Ff+CeA44ArSCeCdwOeBP0lalNTOvrOkWcDdwBtJJ4P/AivnNDWr5fVmVoJr/NbvIuJq4Opm2yWNB/4bERsV1q0OXA8cCFxLepL2Z5LGkmr815V5b0mLpCLES7ksk0knnlblnUbdVUW+mTy0fr3ZYOAav70e7UV6kvYVETETuBn4BLA3sIekf5PuF+xSG2ahjdWAF+hMF81Dcl67dyAvs36lcv8vZoObpJGkh8gAno6IOxYyv5WAVfLL5wdwqAmzHnPgNzPrMm7qMTPrMg78ZmZdxoHfzKzLOPCbmXUZB34zsy7jwG9m1mUc+M3MuowDv5lZl/l/JxPvmx6liuUAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fixed = {\"'T2'\": 300}\n", "\n", @@ -913,7 +821,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2957202d", + "id": "87997eb7", "metadata": {}, "outputs": [], "source": [] diff --git a/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb new file mode 100644 index 00000000000..7da1e27f1ea --- /dev/null +++ b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb @@ -0,0 +1,640 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 11, + "id": "41a5ca6d", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from pyomo.environ import *\n", + "from pyomo.dae import *\n", + "import pandas as pd\n", + "from get_sensitivity import *\n", + "#from pyomo.contrib.sensitivity_toolbox.sens import sensitivity_calculation, get_dsdp, get_dfds_dcds\n", + "from idaes.apps.uncertainty_propagation.sens import get_dsdp, get_dfds_dcds" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "7ae12c2f", + "metadata": {}, + "outputs": [], + "source": [ + "def reactor_run(dv=[1.0, 300], param_init=[84.79085853498033, 371.71773413976416, \n", + " 7.777032028026428, 15.047135137500822]):\n", + " '''\n", + " This function contains the reactor kinetics model.\n", + " \n", + " Arguments:\n", + " dv: design variable values, [CA_init: initial value of CA [M], T_init: initial temperature [K]]\n", + " para_samp: parameter values, size [# of sample]\n", + " \n", + " Return: \n", + " m: reactor kinetics model\n", + " '''\n", + " # time points \n", + " timepoint = [0.0, 0.125, 0.25, 0.375, 0.5,0.625, 0.75, 0.875, 1.0]\n", + " \n", + " # parameter names\n", + " para_list = ['A1', 'A2', 'E1', 'E2']\n", + " \n", + " # names of observed variables\n", + " y_list = ['CA','CB','CC']\n", + " \n", + " ### Create mathematical model\n", + " m = ConcreteModel()\n", + " \n", + " ## Define experimental design variables\n", + " # Initial concentration of CA0S\n", + " m.CA0 = Var(initialize = dv[0], bounds=(1.0,5.0), within=NonNegativeReals) # mol/L\n", + " m.CA0.fix()\n", + " \n", + " # Reactor temperature (constant)\n", + " m.T = Var(initialize = dv[1], bounds=(300, 700), within=NonNegativeReals) \n", + " m.T.fix()\n", + " \n", + " # Define ideal gas constant\n", + " m.R = 8.31446261815324 # J / K / mole\n", + " \n", + "\n", + " ### Define sets and expressions\n", + " # timepoint\n", + " m.t = Set(initialize=timepoint)\n", + " \n", + " # parameter index\n", + " m.para = Set(initialize=para_list)\n", + " \n", + " # response/observed variables\n", + " m.y = Set(initialize=y_list)\n", + " \n", + " # Concentration of A, B, and C [mol/L]\n", + " m.C = Var(m.y, m.t, initialize=0.0, within=NonNegativeReals)\n", + " \n", + " # Define parameters\n", + " m.A1 = Param(initialize=param_init[0],mutable=True)\n", + " m.A2 = Param(initialize=param_init[1],mutable=True)\n", + " m.E1 = Param(initialize=param_init[2],mutable=True)\n", + " m.E2 = Param(initialize=param_init[3],mutable=True)\n", + " \n", + " \n", + " m.A1_pert = Param(initialize=param_init[0]*1.1)\n", + " m.A2_pert = Param(initialize=param_init[1])\n", + " m.E1_pert = Param(initialize=param_init[2])\n", + " m.E2_pert = Param(initialize=param_init[3])\n", + " \n", + " \n", + " ### Define the mathematical model\n", + " # Rate law for reaction 1 (Arrhenius equation)\n", + " def k1_rule(m):\n", + " return m.A1 * exp(-m.E1*1000/(m.R*m.T))\n", + " \n", + " m.k1 = Expression(rule = k1_rule) # 1/hr\n", + " \n", + " # Rate law for reaction 2\n", + " def k2_rule(m):\n", + " return m.A2 * exp(-m.E2*1000/(m.R*m.T))\n", + " \n", + " m.k2 = Expression(rule = k2_rule) # 1/hr\n", + " \n", + " # Calculate model response variables\n", + " def conc(m,i,t):\n", + " '''\n", + " Calculate the model predictions\n", + " Argument: \n", + " i: the model responses, CA, CB, CC\n", + " t: timepoints\n", + " '''\n", + " if i == 'CA':\n", + " return m.C['CA',t] == m.CA0*exp(-m.k1*t)\n", + " elif i == 'CB':\n", + " return m.C['CB',t] == m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", + " else:\n", + " return m.C['CC',t] == m.CA0 - m.C['CA',t] - m.C['CB',t]\n", + " \n", + " m.rate = Constraint(m.y, m.t, rule=conc)\n", + " \n", + " def obj_rule(m):\n", + " return 0\n", + " \n", + " m.Obj = Objective(rule=obj_rule, sense= minimize)\n", + " \n", + " m.A1.setlb(param_init[0])\n", + " m.A1.setub(param_init[0])\n", + " \n", + " m.A2.setlb(param_init[1])\n", + " m.A2.setub(param_init[1])\n", + " \n", + " m.E1.setlb(param_init[2])\n", + " m.E1.setub(param_init[2])\n", + " \n", + " m.E2.setlb(param_init[3])\n", + " m.E2.setub(param_init[3])\n", + " \n", + " \n", + " # Return Pyomo model\n", + " return m" + ] + }, + { + "cell_type": "markdown", + "id": "ae14f673", + "metadata": {}, + "source": [ + "## Test k_aug" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42792ec9", + "metadata": {}, + "outputs": [], + "source": [ + "param_initial = [84.79085853498033, 371.71773413976416, 7.777032028026428, 15.047135137500822]\n", + "\n", + "\n", + "mod = reactor_run(param_init=param_initial)\n", + "\n", + "solver = SolverFactory('ipopt')\n", + "solver.solve(mod, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e0d298b", + "metadata": {}, + "outputs": [], + "source": [ + "print(value(eval('mod.C[\"CA\", 0.125]')))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6cc94c74", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "\n", + "\n", + "list_original = [mod.A1,mod.A2,mod.E1,mod.E2]\n", + "list_perturb = [mod.A1_pert, mod.A2_pert, mod.E1_pert, mod.E2_pert]\n", + "\n", + "\n", + "#m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=True)\n", + "m_kaug_dsdp = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b0b03ca3", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef05a6ba", + "metadata": {}, + "outputs": [], + "source": [ + "#x = eval('m_sipopt.sens_sol_state_1[m_sipopt.C[\"CB\",0.125]]')\n", + "y = eval('m_kaug_dsdp.C[\"CB\",0.125]()')\n", + "\n", + "print(y)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50ee7117", + "metadata": {}, + "outputs": [], + "source": [ + "print(m_kaug_dsdp.C[\"CB\",0.125]())\n", + "print(m_kaug_dsdp.C['CB',0]())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b844f77d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "50a912a8", + "metadata": {}, + "outputs": [], + "source": [ + "# Parameter name\n", + "variable_name = ['A1', 'A2','E1','E2']\n", + "# Parameter initial value\n", + "theta_v = [84.79085853498033, 371.71773413976416, 7.777032028026428, 15.047135137500822]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "28406a87", + "metadata": {}, + "outputs": [], + "source": [ + "def create_model(CA_init=1, T_init=300):\n", + " '''Model for get_sensitivity, defining measurements as cosntraints\n", + " '''\n", + " \n", + " # time points \n", + " timepoint = [0.0, 0.125, 0.25, 0.375, 0.5,0.625, 0.75, 0.875, 1.0]\n", + " \n", + " # names of observed variables\n", + " y_list = ['CA','CB','CC']\n", + " \n", + " m= ConcreteModel()\n", + "\n", + " m.CA0 = CA_init\n", + " m.T = T_init\n", + " \n", + " # Define ideal gas constant\n", + " m.R = 8.31446261815324 # J / K / mol\n", + "\n", + " ### Define sets and expressions\n", + " # timepoint\n", + " m.t = Set(initialize=timepoint)\n", + " \n", + " # response/observed variables\n", + " m.y = Set(initialize=y_list)\n", + "\n", + " m.A1 = Var(initialize = theta_v[0])\n", + " m.A2 = Var(initialize = theta_v[1])\n", + " m.E1 = Var(initialize = theta_v[2])\n", + " m.E2 = Var(initialize = theta_v[3])\n", + " \n", + " # Concentration of A, B, and C [mol/L]\n", + " m.C = Var(m.y, m.t, initialize=0.0, within=NonNegativeReals)\n", + " m.dCdt = Var(m.y, m.t, initialize=0.0, within=NonNegativeReals)\n", + "\n", + " def k1_rule(m):\n", + " return m.A1*exp(-m.E1*1000/m.R/m.T)\n", + "\n", + " def k2_rule(m):\n", + " return m.A2 * exp(-m.E2*1000/m.R/m.T)\n", + "\n", + " m.k1 = Expression(rule = k1_rule) # 1/hr\n", + " m.k2 = Expression(rule = k2_rule)\n", + " \n", + " def conc(m,i,t):\n", + " '''\n", + " Calculate the model predictions\n", + " Argument: \n", + " i: the model responses, CA, CB, CC\n", + " t: timepoints\n", + " '''\n", + " if i == 'CA':\n", + " return m.C['CA',t] == m.CA0*exp(-m.k1*t)\n", + " elif i == 'CB':\n", + " return m.C['CB',t] == m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", + " else:\n", + " return m.C['CC',t] == m.CA0 - m.CA0*exp(-m.k1*t) - m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", + "\n", + " m.rate = Constraint(m.y, m.t, rule=conc)\n", + " \n", + " def gradient(m, i, t):\n", + " if i=='CA':\n", + " return m.dCdt['CA',t] == -m.k1*m.C['CA',t]\n", + " elif i=='CB':\n", + " return m.dCdt['CB',t] == m.k1*m.C['CA',t] - m.k2*m.C['CB',t]\n", + " elif i=='CC':\n", + " return m.dCdt['CC',t] == m.k2*m.C['CB',t]\n", + " \n", + " #m.grad = Constraint(m.y, m.t, rule=gradient)\n", + "\n", + " def obj_rule(m):\n", + " return 0\n", + " \n", + " m.Obj = Objective(rule=obj_rule, sense=maximize)\n", + " \n", + " theta_dict = {'A1': theta_v[0], 'A2': theta_v[1], 'E1': theta_v[2], 'E2':theta_v[3]}\n", + " for v in variable_name:\n", + " getattr(m, v).setlb(theta_dict[v])\n", + " getattr(m, v).setub(theta_dict[v])\n", + " \n", + " return m" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "f6cc3bc2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.2: linear_solver=ma57\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 27\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 0\n", + "\n", + "Total number of variables............................: 27\n", + " variables with only lower bounds: 27\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 27\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 1.99e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -0.0000000e+00 1.99e-02 1.87e+02 -1.0 1.99e+00 - 5.21e-03 9.90e-01f 1\n", + " 2 -0.0000000e+00 1.97e-04 9.80e+00 -1.0 1.99e-02 - 1.00e+00 9.90e-01h 1\n", + " 3 -0.0000000e+00 4.24e-22 1.00e-06 -1.0 1.97e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 4.2351647362715017e-22 4.2351647362715017e-22\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 4.2351647362715017e-22 4.2351647362715017e-22\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.001\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dot_in_.in\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[0] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[0] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[1] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[1] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]Unresolved sigma values, is the mu computation successful? or is this a square problem?\n", + "Check the sigma_out file with the PRINT_VERBOSE (cmake) option set to 0\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": print_kkt=\n", + "print_kkt=\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 31\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 27\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 4\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:1\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:2\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:3\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "yes I hear you 1\n", + "W[k_aug]...\t[k_aug_asl]printing kkt matrix.\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 27, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 107\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 10\n", + "I[K_AUG]...\t[GET_HESS_ASL]Maximization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 27\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]New folder created ./GJH !...\n" + ] + } + ], + "source": [ + "# create the model\n", + "model_un = create_model(CA_init=2, T_init=400)\n", + "# get information\n", + "gradient_f, gradient_c, line_dic = get_sensitivity(model_un, variable_name)\n", + "#gradient_f, gradient_c, col,row, line_dic = get_dfds_dcds(model_un, variable_name, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "f32d3cc3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['A1', 'A2', 'E1', 'E2', 'C[CA,0.0]', 'C[CA,0.125]', 'C[CA,0.25]', 'C[CA,0.375]', 'C[CA,0.5]', 'C[CA,0.625]', 'C[CA,0.75]', 'C[CA,0.875]', 'C[CA,1.0]', 'C[CB,0.0]', 'C[CB,0.125]', 'C[CB,0.25]', 'C[CB,0.375]', 'C[CB,0.5]', 'C[CB,0.625]', 'C[CB,0.75]', 'C[CB,0.875]', 'C[CB,1.0]', 'C[CC,0.0]', 'C[CC,0.125]', 'C[CC,0.25]', 'C[CC,0.375]', 'C[CC,0.5]', 'C[CC,0.625]', 'C[CC,0.75]', 'C[CC,0.875]', 'C[CC,1.0]']\n", + "['rate[CA,0.125]', 'rate[CA,0.25]', 'rate[CA,0.375]', 'rate[CA,0.5]', 'rate[CA,0.625]', 'rate[CA,0.75]', 'rate[CA,0.875]', 'rate[CA,1.0]', 'rate[CB,0.125]', 'rate[CB,0.25]', 'rate[CB,0.375]', 'rate[CB,0.5]', 'rate[CB,0.625]', 'rate[CB,0.75]', 'rate[CB,0.875]', 'rate[CB,1.0]', 'rate[CC,0.125]', 'rate[CC,0.25]', 'rate[CC,0.375]', 'rate[CC,0.5]', 'rate[CC,0.625]', 'rate[CC,0.75]', 'rate[CC,0.875]', 'rate[CC,1.0]', 'rate[CA,0.0]', 'rate[CB,0.0]', 'rate[CC,0.0]', 'Obj']\n", + "{'A1': 1, 'A2': 2, 'E1': 3, 'E2': 4}\n" + ] + } + ], + "source": [ + "print(col)\n", + "print(row)\n", + "print(line_dic)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "760bfb2b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n", + " [ 8.67515581e-03 0.00000000e+00 -2.21173016e-01 0.00000000e+00]\n", + " [ 6.24023430e-03 0.00000000e+00 -1.59094715e-01 0.00000000e+00]\n", + " [ 3.36655545e-03 0.00000000e+00 -8.58302996e-02 0.00000000e+00]\n", + " [ 1.61442593e-03 0.00000000e+00 -4.11597740e-02 0.00000000e+00]\n", + " [ 7.25808008e-04 0.00000000e+00 -1.85044683e-02 0.00000000e+00]\n", + " [ 3.13253995e-04 0.00000000e+00 -7.98640765e-03 0.00000000e+00]\n", + " [ 1.31442867e-04 0.00000000e+00 -3.35113467e-03 0.00000000e+00]\n", + " [ 5.40284599e-05 0.00000000e+00 -1.37745508e-03 0.00000000e+00]\n", + " [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n", + " [-6.05765966e-03 7.09551560e-04 1.54439976e-01 -7.93054556e-02]\n", + " [-1.65697463e-03 1.47349972e-03 4.22445526e-02 -1.64690733e-01]\n", + " [ 1.22347776e-03 1.74323292e-03 -3.11925539e-02 -1.94838387e-01]\n", + " [ 2.08044434e-03 1.64840390e-03 -5.30409089e-02 -1.84239497e-01]\n", + " [ 1.93406969e-03 1.38428736e-03 -4.93090886e-02 -1.54719609e-01]\n", + " [ 1.48213731e-03 1.08136876e-03 -3.77870767e-02 -1.20862876e-01]\n", + " [ 1.03350813e-03 8.05120677e-04 -2.63492799e-02 -8.99870645e-02]\n", + " [ 6.83164431e-04 5.79499167e-04 -1.74172708e-02 -6.47697052e-02]\n", + " [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n", + " [-2.61749616e-03 -7.09551560e-04 6.67330399e-02 7.93054556e-02]\n", + " [-4.58325967e-03 -1.47349972e-03 1.16850162e-01 1.64690733e-01]\n", + " [-4.59003321e-03 -1.74323292e-03 1.17022853e-01 1.94838387e-01]\n", + " [-3.69487027e-03 -1.64840390e-03 9.42006829e-02 1.84239497e-01]\n", + " [-2.65987770e-03 -1.38428736e-03 6.78135569e-02 1.54719609e-01]\n", + " [-1.79539130e-03 -1.08136876e-03 4.57734844e-02 1.20862876e-01]\n", + " [-1.16495099e-03 -8.05120677e-04 2.97004146e-02 8.99870645e-02]\n", + " [-7.37192891e-04 -5.79499167e-04 1.87947258e-02 6.47697052e-02]]\n" + ] + } + ], + "source": [ + "print(gradient_c)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "34de36d6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A1 A2 E1 E2\n", + "0 0.000000 0.000000 0.000000 0.000000\n", + "1 0.008675 0.000000 -0.221173 0.000000\n", + "2 0.006240 0.000000 -0.159095 0.000000\n", + "3 0.003367 0.000000 -0.085830 0.000000\n", + "4 0.001614 0.000000 -0.041160 0.000000\n", + "5 0.000726 0.000000 -0.018504 0.000000\n", + "6 0.000313 0.000000 -0.007986 0.000000\n", + "7 0.000131 0.000000 -0.003351 0.000000\n", + "8 0.000054 0.000000 -0.001377 0.000000\n", + "9 0.000000 0.000000 0.000000 0.000000\n", + "10 -0.006058 0.000710 0.154440 -0.079305\n", + "11 -0.001657 0.001473 0.042245 -0.164691\n", + "12 0.001223 0.001743 -0.031193 -0.194838\n", + "13 0.002080 0.001648 -0.053041 -0.184239\n", + "14 0.001934 0.001384 -0.049309 -0.154720\n", + "15 0.001482 0.001081 -0.037787 -0.120863\n", + "16 0.001034 0.000805 -0.026349 -0.089987\n", + "17 0.000683 0.000579 -0.017417 -0.064770\n", + "18 0.000000 0.000000 0.000000 0.000000\n", + "19 -0.002617 -0.000710 0.066733 0.079305\n", + "20 -0.004583 -0.001473 0.116850 0.164691\n", + "21 -0.004590 -0.001743 0.117023 0.194838\n", + "22 -0.003695 -0.001648 0.094201 0.184239\n", + "23 -0.002660 -0.001384 0.067814 0.154720\n", + "24 -0.001795 -0.001081 0.045773 0.120863\n", + "25 -0.001165 -0.000805 0.029700 0.089987\n", + "26 -0.000737 -0.000579 0.018795 0.064770\n" + ] + } + ], + "source": [ + "jaco_store = pd.DataFrame({'A1': gradient_c.T[0],\n", + " 'A2': gradient_c.T[1],\n", + " 'E1': gradient_c.T[2],\n", + " 'E2': gradient_c.T[3]})\n", + "print(jaco_store)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1731f1da", + "metadata": {}, + "outputs": [], + "source": [ + "k1_ext = value(model_un.k1)\n", + "k2_ext = value(model_un.k2)\n", + "timepoint = [0.0, 0.125, 0.25, 0.375, 0.5,0.625, 0.75, 0.875, 1.0]\n", + "CA = []\n", + "CB = []\n", + "CC = []\n", + "for i in timepoint:\n", + " CA.append(value(model_un.C['CA',i]))\n", + " CB.append(value(model_un.C['CB',i]))\n", + " CC.append(value(model_un.C['CC',i]))\n", + " \n", + "dCAdt = []\n", + "dCBdt = []\n", + "dCCdt = []\n", + "\n", + "for j in range(9): \n", + " dCAdt.append(-k1_ext*CA[j])\n", + " dCBdt.append(k1_ext*CA[j]-k2_ext*CB[j])\n", + " dCCdt.append(k2_ext*CB[j])\n", + "print('dCAdt:', dCAdt)\n", + "print('dCBdt:', dCBdt)\n", + "print('dCCdt:', dCCdt)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "59d70507", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyomo/contrib/doe/scenario_simultaneous b/pyomo/contrib/doe/scenario_simultaneous new file mode 100644 index 0000000000000000000000000000000000000000..8aeb88737dee5037c9dabc4cff30066406f0d1ec GIT binary patch literal 551 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+5.0,550.0,1149.9942239666602,513457.73332985496,0.8647438687939714,1009.1058026575346 +5.0,600.0,1117.6516817520446,454513.4022363459,0.797079736250643,1059.8020440028154 +5.0,650.0,1097.0815502415053,390533.18910512136,0.7286979680089886,1134.999224882425 +5.0,700.0,1083.6008538699039,330585.6545187232,0.6727718824477692,1212.3903097956108 From 8d73a3fa18412b99e951e170a3e1ac2b6b9fc308 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sun, 15 Aug 2021 20:29:50 -0400 Subject: [PATCH 12/42] fix an error in the doc string of get_dfds_dcds() --- pyomo/contrib/sensitivity_toolbox/sens.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pyomo/contrib/sensitivity_toolbox/sens.py b/pyomo/contrib/sensitivity_toolbox/sens.py index c7810705821..31fcd404598 100644 --- a/pyomo/contrib/sensitivity_toolbox/sens.py +++ b/pyomo/contrib/sensitivity_toolbox/sens.py @@ -301,9 +301,9 @@ def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): gradient_c: scipy.sparse.csr.csr_matrix Ncon by Nvar size sparse matrix. A Jacobian matrix of the constraints with respect to the (decision variables, parameters) - at the optimal solution. Each row contains [column number, - row number, and value], column order follows variable order in col - and index starts from 1. Note that it follows k_aug. + at the optimal solution. Each row contains [row number, + column number, and value], column order follows variable order in col + and index starts from 0. Note that it follows k_aug. If no constraint exists, return [] col: list Size Nvar list of variable names From 1cb119526f37b4c2f86182f70fa02f7153eee791 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Thu, 26 Aug 2021 10:57:32 -0400 Subject: [PATCH 13/42] update --- pyomo/contrib/doe/reactor_control_doe.ipynb | 3491 ++++++++++++++++++- 1 file changed, 3348 insertions(+), 143 deletions(-) diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index b70f8089718..b8f1e68ee2e 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -135,8 +135,8 @@ "outputs": [], "source": [ "# choose model from 'dynamic-DAE', 'constant-DAE', 'constant-analytical'\n", - "model_opt = 'dynamic-DAE'\n", - "#model_opt = 'constant-DAE'\n", + "#model_opt = 'dynamic-DAE'\n", + "model_opt = 'constant-DAE'\n", "#model_opt = 'constant-analytical'\n", "\n", "if (model_opt=='dynamic-DAE'):\n", @@ -190,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 13, "id": "written-tours", "metadata": {}, "outputs": [ @@ -246,7 +246,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 14, "id": "d3ee5ff9", "metadata": {}, "outputs": [ @@ -254,16 +254,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "Design variable: {'CA0': {0: 5}, 'T': {0: 570.21, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n" + "Design variable: {'CA0': {0: 5}, 'T': {0: 500}}\n" ] } ], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", - "#sensi_opt = 'sequential_finite'\n", + "sensi_opt = 'sequential_finite'\n", "#sensi_opt = 'sequential_sipopt'\n", - "sensi_opt = 'sequential_kaug'\n", + "#sensi_opt = 'sequential_kaug'\n", "\n", "# Define experiments\n", "if (model_opt=='dynamic-DAE'):\n", @@ -276,12 +276,734 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "latin-medicare", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.35e+01 -1.0 1.97e+02 - 1.49e-02 3.70e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.22e+01 -1.0 1.24e+02 - 1.57e-01 5.87e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.43e+03 -1.0 1.17e+02 - 2.65e-01 9.06e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.85e-07R 6\n", + " 5r 0.0000000e+00 8.36e+01 4.10e+04 2.1 2.04e+04 - 8.66e-03 2.36e-03f 1\n", + " 6r 0.0000000e+00 6.20e+01 4.08e+04 2.1 1.36e+04 - 5.26e-03 1.76e-03f 1\n", + " 7r 0.0000000e+00 3.94e+01 3.77e+04 2.1 8.52e+03 - 2.52e-02 2.68e-03f 1\n", + " 8r 0.0000000e+00 1.23e+01 3.04e+04 2.1 2.04e+03 - 7.09e-02 1.60e-02f 1\n", + " 9r 0.0000000e+00 6.72e+00 2.53e+04 2.1 1.58e+02 - 7.38e-02 3.62e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.26e+00 1.89e+04 2.1 1.29e+02 - 8.90e-02 3.63e-02f 1\n", + " 11r 0.0000000e+00 4.00e+00 1.29e+04 2.1 1.12e+02 - 1.64e-01 6.96e-02f 1\n", + " 12r 0.0000000e+00 2.80e+00 1.24e+04 2.1 8.70e+01 - 2.27e-01 1.49e-01f 1\n", + " 13r 0.0000000e+00 2.39e+00 9.53e+03 2.1 4.51e+01 - 4.32e-01 1.98e-01f 1\n", + " 14r 0.0000000e+00 8.72e-01 7.53e+03 2.1 2.85e+01 - 7.88e-01 3.41e-01f 1\n", + " 15r 0.0000000e+00 2.29e-01 1.22e+03 1.4 3.08e+00 - 1.00e+00 6.98e-01f 1\n", + " 16r 0.0000000e+00 1.77e-01 8.00e+02 0.7 2.62e+00 - 1.00e+00 5.55e-01f 1\n", + " 17r 0.0000000e+00 6.99e-02 2.35e+02 0.7 5.46e+00 - 8.36e-01 7.69e-01f 1\n", + " 18r 0.0000000e+00 4.99e-02 9.29e+02 -0.0 1.26e+00 - 9.86e-01 6.55e-01f 1\n", + " 19r 0.0000000e+00 5.12e-02 2.24e+03 -0.0 5.16e+00 - 1.00e+00 2.47e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.49e-02 4.59e+02 -0.0 3.20e+00 - 1.00e+00 8.16e-01f 1\n", + " 21r 0.0000000e+00 3.40e-02 1.28e-02 -0.0 6.37e-01 - 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 3.24e-02 3.34e+02 -2.1 7.76e-01 - 9.97e-01 7.64e-01f 1\n", + " 23r 0.0000000e+00 2.35e-02 2.73e+03 -2.1 6.25e+01 - 9.59e-01 4.76e-02f 1\n", + " 24r 0.0000000e+00 1.44e-02 3.26e+03 -2.1 4.80e+01 - 1.00e+00 5.91e-02f 1\n", + " 25r 0.0000000e+00 8.84e-03 3.34e+03 -2.1 3.66e+01 - 1.00e+00 7.44e-02f 1\n", + " 26r 0.0000000e+00 5.22e-03 2.67e+03 -2.1 3.36e+00 - 1.00e+00 2.51e-01f 1\n", + " 27r 0.0000000e+00 1.33e-04 1.46e+02 -2.1 1.20e+00 - 1.00e+00 9.57e-01f 1\n", + " 28r 0.0000000e+00 3.75e-06 9.90e-05 -2.1 4.82e-02 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 5.58e-07 1.72e+01 -4.8 1.54e-03 - 1.00e+00 9.69e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.11e-07 4.70e+01 -4.8 1.03e-04 - 1.00e+00 8.00e-01f 1\n", + " 31r 0.0000000e+00 3.44e-10 1.94e-09 -4.8 3.08e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 31\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.4428371264993984e-10 3.4428371264993984e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.4428371264993984e-10 3.4428371264993984e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 38\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 38\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 33\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 31\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.032\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.54e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.33e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", + " 6r 0.0000000e+00 6.27e+01 4.14e+04 2.1 1.36e+04 - 5.44e-03 1.68e-03f 1\n", + " 7r 0.0000000e+00 3.84e+01 3.83e+04 2.1 8.50e+03 - 2.64e-02 2.90e-03f 1\n", + " 8r 0.0000000e+00 1.24e+01 3.05e+04 2.1 2.05e+03 - 7.66e-02 1.57e-02f 1\n", + " 9r 0.0000000e+00 6.97e+00 2.50e+04 2.1 1.58e+02 - 8.01e-02 3.61e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.40e+00 1.91e+04 2.1 1.29e+02 - 8.70e-02 3.82e-02f 1\n", + " 11r 0.0000000e+00 4.11e+00 1.29e+04 2.1 1.12e+02 - 1.57e-01 7.15e-02f 1\n", + " 12r 0.0000000e+00 2.89e+00 1.25e+04 2.1 8.62e+01 - 2.25e-01 1.44e-01f 1\n", + " 13r 0.0000000e+00 2.46e+00 9.87e+03 2.1 4.46e+01 - 4.28e-01 1.92e-01f 1\n", + " 14r 0.0000000e+00 9.21e-01 5.40e+03 2.1 2.92e+01 - 7.43e-01 3.44e-01f 1\n", + " 15r 0.0000000e+00 2.51e-01 1.45e+03 1.4 3.32e+00 - 1.00e+00 6.61e-01f 1\n", + " 16r 0.0000000e+00 1.74e-01 7.37e+02 0.7 2.74e+00 - 1.00e+00 5.57e-01f 1\n", + " 17r 0.0000000e+00 6.93e-02 3.15e+02 0.7 5.50e+00 - 8.74e-01 7.50e-01f 1\n", + " 18r 0.0000000e+00 5.59e-02 1.74e+00 0.7 1.04e+00 - 1.00e+00 1.00e+00f 1\n", + " 19r 0.0000000e+00 5.48e-02 6.10e+02 -1.4 9.41e-01 - 9.96e-01 6.72e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.64e-02 2.02e+03 -1.4 3.26e+01 - 7.27e-01 1.10e-01f 1\n", + " 21r 0.0000000e+00 2.27e-02 2.60e+03 -1.4 2.21e+01 - 9.91e-01 1.74e-01f 1\n", + " 22r 0.0000000e+00 4.46e-03 1.93e+03 -1.4 1.56e+01 - 1.00e+00 3.49e-01f 1\n", + " 23r 0.0000000e+00 2.56e-03 1.96e+03 -1.4 3.25e+00 - 1.00e+00 1.33e-01f 1\n", + " 24r 0.0000000e+00 4.87e-04 5.26e+02 -1.4 7.95e-01 - 1.00e+00 7.74e-01f 1\n", + " 25r 0.0000000e+00 6.10e-05 1.10e+01 -1.4 1.80e-01 - 1.00e+00 9.94e-01f 1\n", + " 26r 0.0000000e+00 6.09e-05 8.65e-04 -1.4 1.08e-03 - 1.00e+00 1.00e+00f 1\n", + " 27r 0.0000000e+00 7.77e-06 2.32e+02 -4.8 2.32e-02 - 9.98e-01 8.88e-01f 1\n", + " 28r 0.0000000e+00 4.37e-06 3.78e+02 -4.8 7.18e-03 - 9.44e-01 4.45e-01f 1\n", + " 29r 0.0000000e+00 9.39e-08 5.80e+00 -4.8 4.74e-04 - 1.00e+00 9.85e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.41e-10 1.43e-09 -4.8 4.13e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.4094149725660827e-10 3.4094149725660827e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.4094149725660827e-10 3.4094149725660827e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 37\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 37\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 32\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.029\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.23e+02 2.39e+01 -1.0 1.97e+02 - 1.49e-02 3.77e-01f 1\n", + " 2 0.0000000e+00 1.16e+02 2.27e+01 -1.0 1.23e+02 - 1.57e-01 5.23e-02h 1\n", + " 3 0.0000000e+00 1.16e+02 3.91e+03 -1.0 1.16e+02 - 2.58e-01 7.64e-04h 1\n", + " 4r 0.0000000e+00 1.16e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 4.80e-07R 5\n", + " 5r 0.0000000e+00 8.33e+01 4.30e+04 2.1 2.03e+04 - 8.58e-03 2.34e-03f 1\n", + " 6r 0.0000000e+00 6.53e+01 4.36e+04 2.1 1.36e+04 - 6.25e-03 1.47e-03f 1\n", + " 7r 0.0000000e+00 3.41e+01 4.16e+04 2.1 8.41e+03 - 1.95e-02 3.77e-03f 1\n", + " 8r 0.0000000e+00 1.19e+01 3.29e+04 2.1 2.07e+03 - 7.57e-02 1.63e-02f 1\n", + " 9r 0.0000000e+00 8.81e+00 3.05e+04 2.1 1.52e+02 - 5.15e-02 2.07e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.72e+00 2.45e+04 2.1 1.38e+02 - 8.37e-02 4.25e-02f 1\n", + " 11r 0.0000000e+00 4.09e+00 1.28e+04 2.1 1.15e+02 - 1.64e-01 6.13e-02f 1\n", + " 12r 0.0000000e+00 2.79e+00 1.24e+04 2.1 9.07e+01 - 1.96e-01 1.27e-01f 1\n", + " 13r 0.0000000e+00 2.67e+00 1.07e+04 2.1 5.22e+01 - 3.45e-01 1.97e-01f 1\n", + " 14r 0.0000000e+00 8.70e-01 9.02e+03 2.1 3.32e+01 - 8.86e-01 3.28e-01f 1\n", + " 15r 0.0000000e+00 3.89e-01 5.44e+03 2.1 2.28e+00 - 4.72e-01 5.88e-01f 1\n", + " 16r 0.0000000e+00 2.35e-01 8.84e+02 1.4 1.99e+00 - 1.00e+00 8.68e-01f 1\n", + " 17r 0.0000000e+00 1.90e-01 1.03e+03 0.7 2.08e+00 - 1.00e+00 5.54e-01f 1\n", + " 18r 0.0000000e+00 7.22e-02 2.00e+02 0.7 5.39e+00 - 7.22e-01 8.40e-01f 1\n", + " 19r 0.0000000e+00 4.83e-02 5.63e+02 -0.0 1.14e+00 - 1.00e+00 7.45e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 5.00e-02 2.03e+03 -0.0 5.31e+00 - 1.00e+00 2.06e-01f 1\n", + " 21r 0.0000000e+00 3.42e-02 3.60e+02 -0.0 3.08e+00 - 1.00e+00 7.97e-01f 1\n", + " 22r 0.0000000e+00 3.30e-02 7.85e-03 -0.0 6.46e-01 - 1.00e+00 1.00e+00f 1\n", + " 23r 0.0000000e+00 3.22e-02 3.13e+02 -2.1 7.40e-01 - 9.88e-01 7.65e-01f 1\n", + " 24r 0.0000000e+00 2.29e-02 2.62e+03 -2.1 6.10e+01 - 9.59e-01 5.21e-02f 1\n", + " 25r 0.0000000e+00 1.21e-02 3.18e+03 -2.1 4.60e+01 - 1.00e+00 6.36e-02f 1\n", + " 26r 0.0000000e+00 7.65e-03 3.30e+03 -2.1 3.59e+01 - 1.00e+00 7.59e-02f 1\n", + " 27r 0.0000000e+00 5.20e-03 3.44e+03 -2.1 2.51e+00 - 1.00e+00 2.23e-01f 1\n", + " 28r 0.0000000e+00 7.82e-05 1.16e+02 -2.1 1.17e+00 - 1.00e+00 9.73e-01f 1\n", + " 29r 0.0000000e+00 3.82e-06 2.38e-05 -2.1 2.87e-02 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.32e-07 1.20e+01 -4.8 1.57e-03 - 1.00e+00 9.75e-01f 1\n", + " 31r 0.0000000e+00 8.38e-08 4.63e+01 -4.8 8.46e-05 - 1.00e+00 8.06e-01f 1\n", + " 32r 0.0000000e+00 3.43e-10 1.74e-09 -4.8 2.56e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 32\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.4253311298471090e-10 3.4253311298471090e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.4253311298471090e-10 3.4253311298471090e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 38\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 38\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 34\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 32\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.031\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.56e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.48e+03 -1.0 1.17e+02 - 2.61e-01 8.71e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.29e+01 4.10e+04 2.1 2.03e+04 - 8.62e-03 2.38e-03f 1\n", + " 6r 0.0000000e+00 6.22e+01 4.08e+04 2.1 1.36e+04 - 6.35e-03 1.68e-03f 1\n", + " 7r 0.0000000e+00 3.65e+01 3.80e+04 2.1 8.11e+03 - 2.41e-02 3.21e-03f 1\n", + " 8r 0.0000000e+00 1.22e+01 2.97e+04 2.1 1.99e+03 - 7.54e-02 1.64e-02f 1\n", + " 9r 0.0000000e+00 7.28e+00 2.30e+04 2.1 1.58e+02 - 9.77e-02 3.28e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.29e+00 1.86e+04 2.1 1.30e+02 - 7.70e-02 4.38e-02f 1\n", + " 11r 0.0000000e+00 4.01e+00 1.39e+04 2.1 1.11e+02 - 1.97e-01 7.24e-02f 1\n", + " 12r 0.0000000e+00 2.84e+00 1.29e+04 2.1 8.27e+01 - 2.26e-01 1.51e-01f 1\n", + " 13r 0.0000000e+00 2.26e+00 9.06e+03 2.1 4.30e+01 - 4.92e-01 2.02e-01f 1\n", + " 14r 0.0000000e+00 9.27e-01 5.82e+03 2.1 2.58e+01 - 7.00e-01 3.52e-01f 1\n", + " 15r 0.0000000e+00 2.34e-01 8.52e+02 1.4 3.46e+00 - 1.00e+00 6.79e-01f 1\n", + " 16r 0.0000000e+00 1.79e-01 7.37e+02 0.7 2.67e+00 - 1.00e+00 5.68e-01f 1\n", + " 17r 0.0000000e+00 7.79e-02 3.48e+02 0.7 5.53e+00 - 9.03e-01 7.66e-01f 1\n", + " 18r 0.0000000e+00 5.13e-02 1.50e+00 0.7 1.17e+00 - 1.00e+00 1.00e+00f 1\n", + " 19r 0.0000000e+00 5.00e-02 5.45e+02 -1.4 9.05e-01 - 9.96e-01 6.93e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 4.31e-02 2.68e+03 -1.4 3.42e+01 - 8.89e-01 6.73e-02f 1\n", + " 21r 0.0000000e+00 1.86e-02 2.49e+03 -1.4 2.22e+01 - 1.00e+00 2.61e-01f 1\n", + " 22r 0.0000000e+00 2.71e-03 1.89e+03 -1.4 1.36e+01 - 1.00e+00 3.26e-01f 1\n", + " 23r 0.0000000e+00 2.25e-03 1.89e+03 -1.4 1.98e+00 - 1.00e+00 1.69e-01f 1\n", + " 24r 0.0000000e+00 3.01e-04 2.73e+02 -1.4 8.46e-01 - 1.00e+00 8.79e-01f 1\n", + " 25r 0.0000000e+00 6.32e-05 6.06e-04 -1.4 1.02e-01 - 1.00e+00 1.00e+00f 1\n", + " 26r 0.0000000e+00 1.67e-05 8.98e+02 -3.2 2.39e-02 - 1.00e+00 7.86e-01f 1\n", + " 27r 0.0000000e+00 8.79e-06 7.39e+02 -3.2 1.39e-02 - 9.85e-01 4.78e-01f 1\n", + " 28r 0.0000000e+00 7.22e-08 2.25e-05 -3.2 1.07e-03 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 4.32e-09 4.06e-01 -7.2 2.48e-05 - 1.00e+00 9.97e-01f 1\n", + "\n", + "Number of Iterations....: 29\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.6829678760392014e-09 4.3230815973457210e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.6829678760392014e-09 4.3230815973457210e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 36\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 36\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 31\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 29\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.027\n", + "Total CPU secs in NLP function evaluations = 0.002\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.23e+02 2.38e+01 -1.0 1.97e+02 - 1.49e-02 3.74e-01f 1\n", + " 2 0.0000000e+00 1.16e+02 2.25e+01 -1.0 1.23e+02 - 1.57e-01 5.58e-02h 1\n", + " 3 0.0000000e+00 1.16e+02 3.64e+03 -1.0 1.16e+02 - 2.62e-01 8.38e-04h 1\n", + " 4r 0.0000000e+00 1.16e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.63e-07R 6\n", + " 5r 0.0000000e+00 8.29e+01 4.19e+04 2.1 2.04e+04 - 8.62e-03 2.36e-03f 1\n", + " 6r 0.0000000e+00 6.32e+01 4.20e+04 2.1 1.36e+04 - 5.94e-03 1.61e-03f 1\n", + " 7r 0.0000000e+00 3.62e+01 3.92e+04 2.1 8.35e+03 - 2.43e-02 3.27e-03f 1\n", + " 8r 0.0000000e+00 1.22e+01 3.08e+04 2.1 2.03e+03 - 7.90e-02 1.58e-02f 1\n", + " 9r 0.0000000e+00 6.94e+00 2.56e+04 2.1 1.57e+02 - 8.29e-02 3.59e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.29e+00 1.98e+04 2.1 1.29e+02 - 8.38e-02 3.92e-02f 1\n", + " 11r 0.0000000e+00 4.00e+00 1.33e+04 2.1 1.11e+02 - 1.71e-01 7.34e-02f 1\n", + " 12r 0.0000000e+00 2.87e+00 1.28e+04 2.1 8.44e+01 - 2.29e-01 1.45e-01f 1\n", + " 13r 0.0000000e+00 2.38e+00 9.89e+03 2.1 4.36e+01 - 4.47e-01 1.93e-01f 1\n", + " 14r 0.0000000e+00 9.21e-01 4.20e+03 2.1 2.82e+01 - 6.84e-01 3.45e-01f 1\n", + " 15r 0.0000000e+00 2.61e-01 1.33e+03 1.4 3.47e+00 - 1.00e+00 6.40e-01f 1\n", + " 16r 0.0000000e+00 1.72e-01 7.02e+02 0.7 2.77e+00 - 1.00e+00 5.62e-01f 1\n", + " 17r 0.0000000e+00 7.16e-02 3.95e+02 0.7 5.53e+00 - 9.03e-01 7.42e-01f 1\n", + " 18r 0.0000000e+00 5.44e-02 1.94e+00 0.7 1.13e+00 - 1.00e+00 1.00e+00f 1\n", + " 19r 0.0000000e+00 5.33e-02 6.41e+02 -1.4 9.39e-01 - 9.96e-01 6.65e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.80e-02 2.34e+03 -1.4 3.28e+01 - 8.24e-01 9.89e-02f 1\n", + " 21r 0.0000000e+00 2.49e-02 2.72e+03 -1.4 2.20e+01 - 1.00e+00 1.57e-01f 1\n", + " 22r 0.0000000e+00 4.30e-03 1.88e+03 -1.4 1.59e+01 - 1.00e+00 3.74e-01f 1\n", + " 23r 0.0000000e+00 2.46e-03 1.94e+03 -1.4 3.01e+00 - 1.00e+00 1.32e-01f 1\n", + " 24r 0.0000000e+00 5.12e-04 5.03e+02 -1.4 9.25e-01 - 1.00e+00 7.81e-01f 1\n", + " 25r 0.0000000e+00 5.96e-05 4.59e-01 -1.4 2.02e-01 - 1.00e+00 1.00e+00f 1\n", + " 26r 0.0000000e+00 1.84e-05 1.76e+00 -2.1 1.91e-02 - 1.00e+00 1.00e+00f 1\n", + " 27r 0.0000000e+00 1.61e-06 2.19e-05 -2.1 4.46e-03 - 1.00e+00 1.00e+00f 1\n", + " 28r 0.0000000e+00 5.06e-07 1.84e+01 -4.8 6.91e-04 - 1.00e+00 9.70e-01f 1\n", + " 29r 0.0000000e+00 8.01e-08 3.68e+01 -4.8 5.27e-05 - 1.00e+00 8.42e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.33e-10 1.65e-09 -4.8 2.90e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.3322411496783388e-10 3.3322411496783388e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.3322411496783388e-10 3.3322411496783388e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 37\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 37\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 32\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.028\n", + "Total CPU secs in NLP function evaluations = 0.002\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.32e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", + " 6r 0.0000000e+00 6.26e+01 4.14e+04 2.1 1.36e+04 - 5.61e-03 1.67e-03f 1\n", + " 7r 0.0000000e+00 3.71e+01 3.84e+04 2.1 8.43e+03 - 2.54e-02 3.07e-03f 1\n", + " 8r 0.0000000e+00 1.23e+01 3.03e+04 2.1 2.03e+03 - 7.76e-02 1.59e-02f 1\n", + " 9r 0.0000000e+00 6.92e+00 2.51e+04 2.1 1.57e+02 - 7.83e-02 3.61e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.32e+00 1.91e+04 2.1 1.29e+02 - 8.69e-02 3.81e-02f 1\n", + " 11r 0.0000000e+00 4.03e+00 1.31e+04 2.1 1.12e+02 - 1.66e-01 7.24e-02f 1\n", + " 12r 0.0000000e+00 2.87e+00 1.26e+04 2.1 8.55e+01 - 2.28e-01 1.45e-01f 1\n", + " 13r 0.0000000e+00 2.40e+00 9.66e+03 2.1 4.43e+01 - 4.38e-01 1.94e-01f 1\n", + " 14r 0.0000000e+00 9.15e-01 6.52e+03 2.1 2.85e+01 - 7.60e-01 3.43e-01f 1\n", + " 15r 0.0000000e+00 2.41e-01 1.33e+03 1.4 3.29e+00 - 1.00e+00 6.75e-01f 1\n", + " 16r 0.0000000e+00 1.76e-01 7.44e+02 0.7 2.67e+00 - 1.00e+00 5.62e-01f 1\n", + " 17r 0.0000000e+00 7.24e-02 2.85e+02 0.7 5.48e+00 - 8.68e-01 7.61e-01f 1\n", + " 18r 0.0000000e+00 4.96e-02 9.29e+02 -0.0 1.27e+00 - 9.85e-01 6.55e-01f 1\n", + " 19r 0.0000000e+00 5.07e-02 2.25e+03 -0.0 5.28e+00 - 1.00e+00 2.45e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.43e-02 4.75e+02 -0.0 3.17e+00 - 1.00e+00 8.10e-01f 1\n", + " 21r 0.0000000e+00 3.32e-02 1.48e-02 -0.0 6.52e-01 - 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 3.16e-02 3.32e+02 -2.1 7.64e-01 - 9.93e-01 7.63e-01f 1\n", + " 23r 0.0000000e+00 2.24e-02 2.65e+03 -2.1 6.18e+01 - 9.58e-01 4.92e-02f 1\n", + " 24r 0.0000000e+00 1.30e-02 3.20e+03 -2.1 4.72e+01 - 1.00e+00 6.22e-02f 1\n", + " 25r 0.0000000e+00 8.26e-03 3.31e+03 -2.1 3.58e+01 - 1.00e+00 7.31e-02f 1\n", + " 26r 0.0000000e+00 5.11e-03 2.72e+03 -2.1 2.86e+00 - 1.00e+00 2.53e-01f 1\n", + " 27r 0.0000000e+00 1.00e-04 1.26e+02 -2.1 1.15e+00 - 1.00e+00 9.66e-01f 1\n", + " 28r 0.0000000e+00 3.73e-06 7.35e-05 -2.1 3.63e-02 - 1.00e+00 1.00e+00f 1\n", + " 29r 0.0000000e+00 5.04e-07 1.50e+01 -4.8 1.54e-03 - 1.00e+00 9.71e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 9.76e-08 4.50e+01 -4.8 9.54e-05 - 1.00e+00 8.06e-01f 1\n", + " 31r 0.0000000e+00 3.37e-10 1.83e-09 -4.8 2.90e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 31\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.3720315428809045e-10 3.3720315428809045e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.3720315428809045e-10 3.3720315428809045e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 38\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 38\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 33\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 31\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.030\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.34e+01 -1.0 1.97e+02 - 1.49e-02 3.68e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.20e+01 -1.0 1.24e+02 - 1.58e-01 6.28e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.20e+03 -1.0 1.17e+02 - 2.69e-01 1.00e-03h 1\n", + " 4 0.0000000e+00 1.17e+02 1.51e+08 -1.0 1.17e+02 - 4.80e-01 1.01e-05h 1\n", + " 5r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 5.05e-08R 2\n", + " 6r 0.0000000e+00 8.19e+01 3.66e+04 2.1 2.08e+04 - 8.46e-03 2.44e-03f 1\n", + " 7r 0.0000000e+00 5.73e+01 3.64e+04 2.1 1.37e+04 - 5.07e-03 1.98e-03f 1\n", + " 8r 0.0000000e+00 4.88e+01 3.29e+04 2.1 8.27e+03 - 2.52e-02 1.03e-03f 1\n", + " 9r 0.0000000e+00 1.24e+01 3.19e+04 2.1 2.39e+03 - 2.08e-02 1.64e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.73e+00 2.79e+04 2.1 2.90e+02 - 5.34e-02 3.04e-02f 1\n", + " 11r 0.0000000e+00 4.60e+00 1.88e+04 2.1 1.36e+02 - 1.03e-01 2.94e-02f 1\n", + " 12r 0.0000000e+00 3.49e+00 1.01e+04 2.1 1.16e+02 - 1.43e-01 5.84e-02f 1\n", + " 13r 0.0000000e+00 2.60e+00 1.04e+04 2.1 9.32e+01 - 2.30e-01 1.03e-01f 1\n", + " 14r 0.0000000e+00 2.25e+00 8.25e+03 2.1 5.90e+01 - 3.24e-01 2.43e-01f 1\n", + " 15r 0.0000000e+00 6.15e-01 4.14e+03 2.1 2.89e+01 - 7.20e-01 3.48e-01f 1\n", + " 16r 0.0000000e+00 2.27e-01 1.10e+03 1.4 2.76e+00 - 1.00e+00 7.15e-01f 1\n", + " 17r 0.0000000e+00 1.75e-01 1.03e+03 0.7 2.15e+00 - 9.99e-01 5.31e-01f 1\n", + " 18r 0.0000000e+00 7.20e-02 4.30e+02 0.7 5.47e+00 - 8.58e-01 7.16e-01f 1\n", + " 19r 0.0000000e+00 5.78e-02 1.77e+00 0.7 1.23e+00 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 5.61e-02 6.13e+02 -1.4 9.49e-01 - 9.97e-01 6.75e-01f 1\n", + " 21r 0.0000000e+00 3.13e-02 1.85e+03 -1.4 3.19e+01 - 6.85e-01 1.37e-01f 1\n", + " 22r 0.0000000e+00 2.09e-02 2.62e+03 -1.4 2.16e+01 - 9.79e-01 1.57e-01f 1\n", + " 23r 0.0000000e+00 1.66e-02 2.81e+03 -1.4 1.60e+01 - 1.00e+00 8.91e-02f 1\n", + " 24r 0.0000000e+00 5.81e-03 2.05e+03 -1.4 1.17e+01 - 1.00e+00 3.22e-01f 1\n", + " 25r 0.0000000e+00 1.26e-03 8.81e+02 -1.4 2.32e+00 - 1.00e+00 6.17e-01f 1\n", + " 26r 0.0000000e+00 7.26e-05 5.59e+01 -1.4 4.79e-01 - 1.00e+00 9.66e-01f 1\n", + " 27r 0.0000000e+00 6.15e-05 1.12e-03 -1.4 1.61e-02 - 1.00e+00 1.00e+00f 1\n", + " 28r 0.0000000e+00 8.94e-06 3.69e+02 -4.8 2.22e-02 - 9.98e-01 8.63e-01f 1\n", + " 29r 0.0000000e+00 5.12e-06 6.63e+02 -4.8 8.18e-03 - 9.13e-01 4.42e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.83e-07 2.11e+01 -4.8 4.61e-04 - 1.00e+00 9.68e-01f 1\n", + " 31r 0.0000000e+00 3.43e-10 1.23e-08 -4.8 8.24e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 31\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.4291769424044105e-10 3.4291769424044105e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.4291769424044105e-10 3.4291769424044105e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 34\n", + "Number of objective gradient evaluations = 7\n", + "Number of equality constraint evaluations = 34\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 33\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 31\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.031\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", + " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.59e-01 5.73e-02h 1\n", + " 3 0.0000000e+00 1.17e+02 3.59e+03 -1.0 1.17e+02 - 2.65e-01 8.71e-04h 1\n", + " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", + " 5r 0.0000000e+00 8.36e+01 4.20e+04 2.1 2.05e+04 - 8.66e-03 2.35e-03f 1\n", + " 6r 0.0000000e+00 6.31e+01 4.20e+04 2.1 1.36e+04 - 5.26e-03 1.67e-03f 1\n", + " 7r 0.0000000e+00 3.87e+01 3.94e+04 2.1 8.61e+03 - 2.26e-02 2.87e-03f 1\n", + " 8r 0.0000000e+00 1.22e+01 3.18e+04 2.1 2.17e+03 - 7.14e-02 1.55e-02f 1\n", + " 9r 0.0000000e+00 6.63e+00 2.76e+04 2.1 1.55e+02 - 6.65e-02 3.60e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.18e+00 2.06e+04 2.1 1.29e+02 - 9.02e-02 3.49e-02f 1\n", + " 11r 0.0000000e+00 3.94e+00 1.30e+04 2.1 1.12e+02 - 1.62e-01 6.82e-02f 1\n", + " 12r 0.0000000e+00 2.72e+00 1.26e+04 2.1 8.73e+01 - 2.29e-01 1.48e-01f 1\n", + " 13r 0.0000000e+00 2.39e+00 9.96e+03 2.1 4.52e+01 - 4.24e-01 1.98e-01f 1\n", + " 14r 0.0000000e+00 8.49e-01 3.94e+03 2.1 2.89e+01 - 6.40e-01 3.39e-01f 1\n", + " 15r 0.0000000e+00 2.40e-01 1.29e+03 1.4 3.36e+00 - 1.00e+00 6.29e-01f 1\n", + " 16r 0.0000000e+00 1.65e-01 7.63e+02 0.7 2.71e+00 - 1.00e+00 5.48e-01f 1\n", + " 17r 0.0000000e+00 6.36e-02 4.43e+02 0.7 5.52e+00 - 9.09e-01 7.27e-01f 1\n", + " 18r 0.0000000e+00 5.80e-02 1.99e+00 0.7 9.84e-01 - 1.00e+00 1.00e+00f 1\n", + " 19r 0.0000000e+00 5.68e-02 6.88e+02 -1.4 9.69e-01 - 9.96e-01 6.50e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.17e-02 1.64e+03 -1.4 3.20e+01 - 6.25e-01 1.37e-01f 1\n", + " 21r 0.0000000e+00 2.11e-02 2.51e+03 -1.4 2.19e+01 - 9.63e-01 1.55e-01f 1\n", + " 22r 0.0000000e+00 1.63e-02 2.67e+03 -1.4 1.64e+01 - 1.00e+00 9.61e-02f 1\n", + " 23r 0.0000000e+00 4.92e-03 1.97e+03 -1.4 1.19e+01 - 1.00e+00 3.15e-01f 1\n", + " 24r 0.0000000e+00 1.50e-03 1.03e+03 -1.4 2.36e+00 - 1.00e+00 5.33e-01f 1\n", + " 25r 0.0000000e+00 1.19e-04 9.86e+01 -1.4 5.77e-01 - 1.00e+00 9.39e-01f 1\n", + " 26r 0.0000000e+00 6.34e-05 1.15e-03 -1.4 3.49e-02 - 1.00e+00 1.00e+00f 1\n", + " 27r 0.0000000e+00 9.81e-06 3.61e+02 -4.8 2.24e-02 - 9.98e-01 8.66e-01f 1\n", + " 28r 0.0000000e+00 5.65e-06 4.60e+02 -4.8 8.09e-03 - 9.25e-01 4.33e-01f 1\n", + " 29r 0.0000000e+00 1.57e-07 1.23e+01 -4.8 4.47e-04 - 1.00e+00 9.73e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.48e-10 6.58e-09 -4.8 7.06e-05 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.4806380000418358e-10 3.4806380000418358e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.4806380000418358e-10 3.4806380000418358e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 37\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 37\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 32\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.029\n", + "Total CPU secs in NLP function evaluations = 0.003\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.4369690418243408 s.\n", + "Existed information has been added.\n", + "FIM: [[ 34.82920486 8.98505797 -93.24108544 -36.95313311]\n", + " [ 8.98505797 34.72118757 -19.10100722 -169.32073026]\n", + " [ -93.24108544 -19.10100722 261.98208841 82.94992731]\n", + " [ -36.95313311 -169.32073026 82.94992731 876.11924893]]\n", + "Trace: 1207.6517297594096\n", + "Determinant: 561034.454057873\n", + "Condition number: 1016.4074033638327\n", + "Minimal eigen value: 0.9078292004202301\n", + "Eigen values: [9.22724320e+02 2.81641554e+02 9.07829200e-01 2.37802648e+00]\n", + "Eigen vectors: [[ 0.05653415 -0.32984125 -0.77053642 0.54247789]\n", + " [ 0.1886356 0.01601807 0.56991922 0.79959497]\n", + " [-0.13533499 0.93253119 -0.2662067 0.20298772]\n", + " [-0.97103292 -0.14606077 0.10295482 0.15862413]]\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -301,10 +1023,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "id": "64fc6da4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "Four design criteria log10() value:\n", + "A-optimality: 3.081941707752758\n", + "D-optimality: 5.748989532820771\n", + "E-optimality: -0.04199585224152744\n", + "Modified E-optimality: 3.0070678197277516\n" + ] + } + ], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", @@ -389,7 +1124,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 17, "id": "wicked-raising", "metadata": { "scrolled": true @@ -412,15 +1147,15 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 24144\n", + "Number of nonzeros in equality constraint Jacobian...: 24280\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 1922\n", + "Number of nonzeros in Lagrangian Hessian.............: 1930\n", "\n", - "Total number of variables............................: 6406\n", + "Total number of variables............................: 6414\n", " variables with only lower bounds: 2316\n", - " variables with lower and upper bounds: 88\n", + " variables with lower and upper bounds: 96\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6406\n", + "Total number of equality constraints.................: 6414\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", @@ -428,59 +1163,489 @@ "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", " 0 -0.0000000e+00 7.66e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (280897)\n", - " 1 -3.2041801e+01 1.67e+05 4.32e+05 -1.0 7.66e+02 - 2.58e-03 9.90e-01f 1\n", - " 2 -2.7360130e+01 4.20e+04 4.64e+06 -1.0 8.33e+02 - 1.18e-01 9.90e-01h 1\n", - "Reallocating memory for MA57: lfact (295137)\n", - " 3 -2.3885416e+01 1.03e+04 3.43e+05 -1.0 3.73e+02 - 8.08e-01 1.00e+00h 1\n", - " 4 -2.1104897e+01 2.46e+03 6.88e+03 -1.0 6.89e+01 - 9.91e-01 1.00e+00h 1\n", - " 5 -1.8483523e+01 5.99e+02 1.72e+03 -1.0 2.42e+01 - 1.00e+00 1.00e+00h 1\n", - " 6 -1.6236695e+01 1.37e+02 4.28e+02 -1.0 1.16e+01 - 1.00e+00 1.00e+00h 1\n", - " 7 -1.4826359e+01 2.53e+01 9.99e+01 -1.0 5.03e+00 - 1.00e+00 1.00e+00h 1\n", - " 8 -1.4356896e+01 2.32e+00 1.47e+01 -1.0 1.52e+00 - 1.00e+00 1.00e+00h 1\n", - " 9 -1.4306446e+01 2.85e-02 3.48e-01 -1.0 1.69e-01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.4305829e+01 4.40e-06 1.03e-04 -2.5 2.10e-03 - 1.00e+00 1.00e+00h 1\n", - " 11 -1.4305829e+01 2.64e-13 1.50e-09 -3.8 3.23e-07 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 11\n", + "Reallocating memory for MA57: lfact (288851)\n", + " 1 -2.4685502e+01 2.35e+04 6.11e+04 -1.0 7.66e+02 - 2.58e-03 3.72e-01f 1\n", + " 2 -2.4586020e+01 2.22e+04 5.77e+04 -1.0 7.93e+02 - 1.57e-01 5.78e-02h 1\n", + " 3 -2.4584439e+01 2.21e+04 5.76e+04 -1.0 6.38e+02 - 2.59e-01 8.83e-04h 1\n", + " 4r-2.4584439e+01 2.21e+04 1.00e+03 4.3 0.00e+00 - 0.00e+00 2.78e-07R 6\n", + " 5r-2.2865595e+01 6.18e+03 3.40e+04 4.3 1.70e+07 - 1.70e-05 1.29e-03f 1\n", + " 6r-2.1815237e+01 2.41e+03 5.41e+07 2.2 3.53e+01 6.0 8.58e-01 1.00e+00f 1\n", + " 7r-1.4024175e+01 2.38e+03 7.18e+06 2.2 2.63e+01 5.5 8.54e-01 1.00e+00f 1\n", + " 8r-1.3886775e+01 2.38e+03 6.90e+06 2.2 2.48e+01 5.0 9.15e-01 4.09e-02f 1\n", + " 9r-1.2150629e+01 2.39e+03 7.41e+06 2.2 3.58e+01 4.6 6.34e-01 5.46e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r-1.2121550e+01 2.39e+03 7.34e+06 2.2 2.08e+01 5.0 1.00e+00 9.12e-03f 1\n", + " 11r-1.1911777e+01 2.39e+03 6.64e+06 2.2 2.52e+01 4.5 9.49e-01 1.08e-01f 1\n", + " 12r-1.1876678e+01 2.39e+03 6.56e+06 2.2 2.08e+01 4.9 1.00e+00 1.15e-02f 1\n", + " 13r-8.2517784e+00 2.39e+03 6.97e+06 2.2 2.45e+01 4.5 8.92e-01 1.00e+00f 1\n", + " 14r-6.9879319e+00 2.39e+03 6.81e+05 2.2 5.48e+00 4.9 1.00e+00 1.00e+00f 1\n", + " 15r-7.8638840e+00 2.39e+03 1.27e+05 2.2 9.54e-01 4.4 1.00e+00 1.00e+00f 1\n", + " 16r-9.1669199e+00 2.39e+03 1.36e+03 2.2 1.56e-01 3.9 1.00e+00 1.00e+00f 1\n", + " 17r-1.0093346e+01 2.39e+03 1.25e+03 1.5 4.34e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 18r-1.2618142e+01 2.39e+03 1.25e+03 1.5 1.30e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 19r-1.2636611e+01 2.39e+03 1.25e+03 1.5 3.98e+00 2.5 1.00e+00 1.39e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r-1.2757583e+01 2.39e+03 1.29e+03 1.5 1.50e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 21r-1.2783707e+01 2.39e+03 1.29e+03 1.5 4.50e+00 2.5 1.00e+00 4.58e-01f 1\n", + " 22r-1.2768718e+01 2.39e+03 1.29e+03 1.5 1.38e+01 2.0 1.00e+00 1.25e-01f 1\n", + " 23r-1.2719773e+01 2.39e+03 1.31e+03 1.5 5.17e+00 2.4 1.00e+00 7.13e-01f 1\n", + " 24r-1.2662032e+01 2.39e+03 1.31e+03 1.5 1.59e+01 1.9 1.00e+00 2.26e-01f 1\n", + " 25r-1.2627075e+01 2.38e+03 1.32e+03 1.5 4.75e+01 1.5 1.00e+00 6.08e-02f 1\n", + " 26r-1.2501920e+01 2.38e+03 1.33e+03 1.5 1.80e+01 1.9 1.00e+00 2.70e-01f 1\n", + " 27r-1.2343219e+01 2.38e+03 1.33e+03 1.5 5.39e+01 1.4 4.13e-01 1.06e-01f 1\n", + " 28r-1.2246358e+01 2.38e+03 1.33e+03 1.5 2.04e+01 1.8 1.00e+00 1.49e-01f 1\n", + " 29r-1.2030839e+01 2.37e+03 1.34e+03 1.5 6.08e+01 1.3 6.50e-01 1.32e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r-1.1623580e+01 2.37e+03 1.36e+03 0.9 2.90e+00 2.7 1.00e+00 5.18e-01f 1\n", + " 31r-1.1410963e+01 2.37e+03 1.36e+03 0.9 8.58e+00 2.2 9.00e-01 1.92e-01f 1\n", + " 32r-1.1050453e+01 2.36e+03 1.38e+03 0.9 2.51e+01 1.7 1.00e+00 2.39e-01f 1\n", + " 33r-1.0987561e+01 2.36e+03 1.35e+03 0.9 9.46e+00 2.1 1.00e+00 6.56e-02f 1\n", + " 34r-1.0223963e+01 2.36e+03 1.35e+03 0.9 3.60e+00 2.6 1.00e+00 9.93e-01f 1\n", + " 35r-1.0103402e+01 2.36e+03 1.25e+04 0.9 1.06e+01 2.1 6.70e-01 2.37e-01f 1\n", + " 36r-1.0096112e+01 2.36e+03 1.22e+04 0.9 3.98e+00 2.5 6.72e-02 2.67e-02f 1\n", + " 37r-1.0077262e+01 2.36e+03 1.08e+04 0.9 1.51e+00 2.9 4.09e-01 1.10e-01f 1\n", + " 38r-1.0049973e+01 2.36e+03 4.00e+03 0.9 1.97e-01 4.3 1.00e+00 6.47e-01f 1\n", + " 39r-1.0045110e+01 2.36e+03 2.22e+04 0.9 2.98e-01 3.8 5.61e-02 1.22e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r-1.0027704e+01 2.36e+03 5.93e+03 0.9 6.36e-01 3.3 2.37e-01 2.33e-01f 1\n", + " 41r-1.0036773e+01 2.36e+03 8.72e+04 0.9 9.12e+00 2.8 2.13e-01 1.93e-01f 1\n", + " 42r-1.0038692e+01 2.36e+03 5.20e+04 0.9 7.91e+00 2.4 1.60e-02 2.29e-01f 1\n", + " 43r-1.0064696e+01 2.36e+03 7.76e+04 0.9 5.45e+00 2.8 6.15e-01 3.30e-01f 1\n", + " 44r-1.0067720e+01 2.36e+03 6.84e+04 0.9 6.86e+00 2.3 3.91e-01 1.28e-01f 1\n", + " 45r-1.0075674e+01 2.36e+03 6.61e+04 0.9 4.01e+00 2.7 4.91e-01 3.86e-02f 1\n", + " 46r-1.0124849e+01 2.36e+03 5.61e+04 0.9 6.96e+00 2.3 4.50e-01 1.67e-01f 1\n", + " 47r-1.0159881e+01 2.36e+03 5.10e+04 0.9 2.10e+01 1.8 4.84e-01 7.97e-02f 1\n", + " 48r-1.0227161e+01 2.35e+03 3.87e+04 0.9 7.82e+00 2.2 5.88e-01 2.65e-01f 1\n", + " 49r-1.0243132e+01 2.35e+03 3.63e+04 0.9 2.40e+01 1.7 3.49e-01 6.11e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r-1.0258262e+01 2.35e+03 5.47e+04 0.9 1.75e+00 4.0 2.14e-01 1.35e-01f 1\n", + " 51r-1.0268386e+01 2.35e+03 4.61e+04 0.9 1.64e+00 3.5 4.90e-01 1.61e-01f 1\n", + " 52r-1.0308339e+01 2.35e+03 3.52e+04 0.9 1.88e+00 3.0 5.42e-01 5.41e-01f 1\n", + " 53r-1.0309445e+01 2.35e+03 3.74e+04 0.9 6.20e-01 5.2 2.05e-02 4.71e-02h 1\n", + " 54r-1.0309748e+01 2.35e+03 3.70e+04 0.9 6.88e-01 4.8 1.55e-01 7.48e-03f 5\n", + " 55r-1.0314288e+01 2.35e+03 3.31e+05 0.9 6.74e-01 5.2 5.54e-02 1.72e-01h 1\n", + " 56r-1.0315012e+01 2.35e+03 3.24e+05 0.9 6.10e-01 4.7 1.62e-01 2.27e-02f 3\n", + " 57r-1.0316454e+01 2.35e+03 2.98e+05 0.9 5.81e-01 5.1 2.31e-01 5.26e-02h 3\n", + " 58r-1.0316729e+01 2.35e+03 2.96e+05 0.9 5.83e-01 4.7 1.19e-01 9.06e-03h 5\n", + " 59r-1.0318011e+01 2.35e+03 2.79e+05 0.9 5.63e-01 5.1 3.18e-01 4.76e-02h 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r-1.0318428e+01 2.35e+03 2.75e+05 0.9 5.69e-01 4.6 1.70e-01 1.40e-02h 6\n", + " 61r-1.0321683e+01 2.35e+03 2.72e+05 0.9 5.45e-01 5.0 1.00e+00 1.24e-01h 4\n", + " 62r-1.0322870e+01 2.35e+03 2.58e+05 0.9 5.22e-01 4.6 4.76e-01 4.29e-02f 3\n", + " 63r-1.0346837e+01 2.35e+03 2.33e+06 0.9 5.56e-01 4.1 2.50e-01 7.13e-01f 1\n", + " 64r-1.0346639e+01 2.35e+03 3.10e+06 0.9 2.33e-02 7.2 3.60e-01 1.00e+00f 1\n", + " 65r-1.0346679e+01 2.35e+03 2.90e+06 0.9 3.92e-02 6.7 9.67e-01 5.12e-02h 1\n", + " 66r-1.0347479e+01 2.35e+03 2.38e+06 0.9 7.81e-02 6.3 9.44e-01 2.38e-01h 2\n", + " 67r-1.0353206e+01 2.35e+03 2.99e+06 0.9 2.82e-01 5.8 8.34e-01 4.21e-01h 1\n", + " 68r-1.0358749e+01 2.35e+03 3.44e+06 0.9 2.54e-01 5.3 7.34e-01 3.30e-01H 1\n", + " 69r-1.0360547e+01 2.35e+03 2.91e+06 0.9 2.35e-01 4.8 1.00e+00 1.34e-01f 3\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r-1.0367527e+01 2.35e+03 5.44e+05 0.9 2.14e-01 4.4 1.00e+00 4.82e-01f 1\n", + " 71r-1.0381577e+01 2.35e+03 1.81e+06 0.9 1.90e-01 3.9 7.79e-01 9.32e-01f 1\n", + "Reallocating memory for MA57: lfact (330034)\n", + " 72r-1.0381474e+01 2.35e+03 1.90e+06 0.9 1.10e-02 7.9 4.38e-02 1.00e+00f 1\n", + " 73r-1.0381521e+01 2.35e+03 1.48e+06 0.9 2.04e-02 7.4 6.39e-01 1.79e-01h 1\n", + " 74r-1.0381650e+01 2.35e+03 1.18e+06 0.9 1.17e-01 7.0 4.36e-01 2.45e-02h 1\n", + " 75r-1.0382956e+01 2.35e+03 2.40e+06 0.9 3.88e-01 6.5 4.12e-01 7.43e-02h 1\n", + " 76r-1.0388059e+01 2.35e+03 4.60e+06 0.9 4.47e-01 6.0 1.00e+00 2.23e-01h 1\n", + " 77r-1.0388387e+01 2.35e+03 4.52e+06 0.9 5.03e-01 5.5 3.15e-01 1.15e-02h 5\n", + " 78r-1.0389013e+01 2.35e+03 4.41e+06 0.9 5.29e-01 5.1 1.26e-01 1.91e-02h 6\n", + " 79r-1.0393566e+01 2.35e+03 4.44e+06 0.9 1.06e+00 4.6 2.06e-01 1.25e-01h 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r-1.0403193e+01 2.35e+03 3.17e+06 0.9 1.58e+00 4.1 1.17e-01 2.50e-01h 3\n", + " 81r-1.0434941e+01 2.35e+03 1.50e+06 0.9 1.66e+00 3.6 9.93e-01 6.77e-01f 1\n", + " 82r-1.0434941e+01 2.35e+03 1.49e+06 0.9 2.32e-02 7.7 8.34e-01 5.15e-03h 1\n", + "Reallocating memory for MA57: lfact (440200)\n", + " 83r-1.0434858e+01 2.35e+03 2.17e+07 0.9 1.60e-02 8.1 8.91e-01 1.51e-01h 1\n", + " 84r-1.0434925e+01 2.35e+03 4.10e+06 0.9 2.32e-02 7.6 4.81e-01 2.43e-01h 2\n", + " 85r-1.0435199e+01 2.35e+03 3.69e+06 0.9 2.22e-01 7.1 6.26e-02 2.14e-02h 2\n", + " 86r-1.0435354e+01 2.35e+03 3.54e+06 0.9 2.25e-01 6.7 2.36e-01 1.23e-02h 4\n", + " 87r-1.0435413e+01 2.35e+03 3.51e+06 0.9 2.17e-01 6.2 1.20e-01 4.21e-03h 6\n", + " 88r-1.0435478e+01 2.35e+03 3.48e+06 0.9 2.32e-01 5.7 2.54e-01 4.24e-03h 7\n", + " 89r-1.0435603e+01 2.35e+03 3.46e+06 0.9 4.05e-01 5.2 2.95e-01 6.49e-03h 7\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r-1.0435792e+01 2.35e+03 3.43e+06 0.9 6.54e-01 4.8 3.44e-01 1.26e-02h 7\n", + " 91r-1.0444227e+01 2.35e+03 2.59e+07 0.9 8.40e-01 4.3 9.79e-01 1.00e+00f 1\n", + "Reallocating memory for MA57: lfact (834872)\n", + "Reallocating memory for MA57: lfact (930668)\n", + "Reallocating memory for MA57: lfact (1174736)\n", + " 92r-1.0443676e+01 2.35e+03 9.96e+06 0.9 1.21e-02 9.2 7.26e-01 1.00e+00f 1\n", + "Reallocating memory for MA57: lfact (1424712)\n", + " 93r-1.0443685e+01 2.35e+03 4.84e+06 0.9 6.40e-03 8.7 1.00e+00 1.00e+00f 1\n", + " 94r-1.0443725e+01 2.35e+03 5.90e+06 0.9 3.65e-03 8.3 1.00e+00 1.77e-01h 1\n", + " 95r-1.0444044e+01 2.35e+03 3.35e+07 0.9 1.28e-02 7.8 1.00e+00 3.40e-01h 1\n", + " 96r-1.0444396e+01 2.35e+03 2.25e+07 0.9 2.61e-02 7.3 1.00e+00 1.50e-01h 2\n", + " 97r-1.0445675e+01 2.35e+03 2.31e+07 0.9 1.19e-01 6.8 7.33e-01 1.49e-01h 2\n", + " 98r-1.0454761e+01 2.35e+03 1.07e+08 0.9 3.14e-01 6.4 1.51e-02 5.59e-01h 1\n", + " 99r-1.0454768e+01 2.35e+03 6.73e+07 0.9 1.16e-02 9.5 4.71e-01 1.55e-01h 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r-1.0454793e+01 2.35e+03 6.14e+07 0.9 8.69e-02 9.0 7.57e-03 4.78e-03h 3\n", + " 101r-1.0454970e+01 2.35e+03 5.19e+07 0.9 3.75e-01 8.5 6.19e-03 8.31e-03h 2\n", + " 102r-1.0455666e+01 2.35e+03 6.88e+07 0.9 4.65e-01 8.1 9.31e-03 2.69e-02h 1\n", + " 103r-1.0462657e+01 2.35e+03 3.01e+08 0.9 4.68e-01 7.6 4.22e-02 2.69e-01h 1\n", + "Reallocating memory for MA57: lfact (1556396)\n", + " 104r-1.0462700e+01 2.35e+03 3.01e+08 0.9 3.58e-01 8.9 3.96e-02 2.07e-03h 1\n", + " 105r-1.0462705e+01 2.35e+03 3.01e+08 0.9 3.60e-01 9.3 8.53e-04 2.40e-04h 1\n", + " 106r-1.0463767e+01 2.35e+03 3.72e+08 0.9 3.59e-01 8.9 3.88e-02 5.00e-02f 1\n", + " 107r-1.0465681e+01 2.35e+03 3.26e+08 0.9 3.38e-01 8.4 3.36e-03 9.49e-02h 1\n", + " 108r-1.0467279e+01 2.35e+03 2.99e+08 0.9 3.08e-01 7.9 9.84e-02 8.59e-02h 1\n", + " 109r-1.0484548e+01 2.35e+03 4.36e+08 0.9 2.88e-01 7.4 1.15e-01 9.53e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r-1.0485465e+01 2.35e+03 1.15e+07 0.9 1.50e-02 7.9 1.00e+00 1.00e+00f 1\n", + " 111r-1.0485390e+01 2.35e+03 2.47e+04 0.9 7.92e-04 7.4 9.92e-01 1.00e+00f 1\n", + " 112r-1.0485487e+01 2.35e+03 1.51e+04 0.9 1.90e-03 6.9 1.00e+00 1.00e+00f 1\n", + " 113r-1.0485571e+01 2.35e+03 2.52e+03 0.9 9.49e-04 6.4 1.00e+00 1.00e+00f 1\n", + " 114r-1.0485988e+01 2.35e+03 1.39e+03 0.9 1.57e-03 5.9 1.00e+00 1.00e+00f 1\n", + " 115r-1.0486981e+01 2.35e+03 1.24e+03 0.9 4.19e-03 5.5 1.00e+00 1.00e+00f 1\n", + " 116r-1.0488778e+01 2.35e+03 3.20e+03 0.9 1.22e-02 5.0 1.00e+00 1.00e+00f 1\n", + " 117r-1.0489011e+01 2.35e+03 1.52e+04 0.9 3.81e-02 4.5 1.00e+00 1.00e+00f 1\n", + " 118r-1.0487999e+01 2.35e+03 4.80e+03 0.9 1.46e-02 4.9 1.00e+00 1.00e+00f 1\n", + " 119r-1.0484721e+01 2.35e+03 1.62e+04 0.9 4.40e-02 4.5 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r-1.0476870e+01 2.35e+03 4.42e+04 0.9 1.33e-01 4.0 1.00e+00 5.88e-01f 1\n", + " 121r-1.0476722e+01 2.35e+03 3.09e+05 0.9 7.11e-03 6.2 1.00e+00 1.00e+00f 1\n", + " 122r-1.0476640e+01 2.35e+03 1.97e+04 0.9 3.39e-03 5.7 1.00e+00 1.00e+00f 1\n", + " 123r-1.0477140e+01 2.35e+03 1.27e+05 0.9 2.43e-02 5.3 1.00e+00 5.44e-01f 1\n", + " 124r-1.0477216e+01 2.35e+03 1.23e+05 0.9 1.05e-02 6.6 1.00e+00 1.83e-01f 3\n", + " 125r-1.0478057e+01 2.35e+03 4.95e+05 0.9 2.51e-02 6.1 1.00e+00 5.59e-01h 1\n", + " 126r-1.0478429e+01 2.35e+03 1.91e+05 0.9 3.11e-02 5.6 9.88e-01 5.00e-01f 2\n", + " 127r-1.0478790e+01 2.35e+03 8.44e+04 0.9 3.18e-02 5.2 1.00e+00 1.00e+00f 1\n", + " 128r-1.0478823e+01 2.35e+03 3.13e+06 0.9 9.67e-04 8.3 1.00e+00 7.07e-01h 1\n", + " 129r-1.0478864e+01 2.35e+03 1.88e+06 0.9 2.58e-03 7.8 1.00e+00 3.96e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r-1.0478978e+01 2.35e+03 7.00e+05 0.9 5.34e-03 7.3 1.00e+00 6.12e-01h 1\n", + " 131r-1.0479104e+01 2.35e+03 5.43e+05 0.9 4.40e-03 6.9 7.52e-01 1.00e+00f 1\n", + " 132r-1.0479111e+01 2.35e+03 9.28e+05 0.9 2.71e-04 9.1 1.00e+00 1.00e+00h 1\n", + " 133r-1.0479132e+01 2.35e+03 2.96e+05 0.9 7.68e-04 8.6 1.00e+00 7.21e-01h 1\n", + " 134r-1.0479189e+01 2.35e+03 3.28e+06 0.9 1.49e-03 8.1 1.00e+00 6.03e-01F 1\n", + " 135r-1.0479195e+01 2.35e+03 1.12e+06 0.9 2.18e-04 9.5 1.00e+00 1.00e+00f 1\n", + " 136r-1.0479228e+01 2.35e+03 7.71e+06 0.9 9.73e-04 9.0 1.00e+00 6.93e-01h 1\n", + " 137r-1.0479237e+01 2.35e+03 5.80e+06 0.9 1.11e-03 8.5 1.00e+00 2.50e-01f 3\n", + " 138r-1.0479270e+01 2.35e+03 4.17e+06 0.9 5.13e-04 8.9 1.00e+00 1.00e+00f 1\n", + " 139r-1.0479291e+01 2.35e+03 5.01e+05 0.9 8.00e-04 8.5 1.00e+00 1.00e+00F 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r-1.0479296e+01 2.35e+03 1.91e+05 0.9 2.21e-04 8.0 1.00e+00 1.00e+00f 1\n", + " 141r-1.0479303e+01 2.35e+03 1.91e+04 0.9 5.43e-04 7.5 1.00e+00 1.00e+00f 1\n", + " 142r-1.0479300e+01 2.35e+03 2.90e+03 0.9 2.67e-04 7.0 1.00e+00 1.00e+00f 1\n", + " 143r-1.0479291e+01 2.35e+03 2.98e+03 0.9 8.20e-04 6.6 1.00e+00 1.00e+00f 1\n", + " 144r-1.0479236e+01 2.35e+03 1.97e+03 0.9 1.07e-03 6.1 1.00e+00 1.00e+00f 1\n", + " 145r-1.0479031e+01 2.35e+03 1.40e+04 0.9 3.21e-03 5.6 1.00e+00 1.00e+00f 1\n", + " 146r-1.0479025e+01 2.35e+03 5.33e+03 0.9 1.52e-03 6.9 1.00e+00 1.00e+00f 1\n", + " 147r-1.0479005e+01 2.35e+03 3.02e+03 0.9 7.39e-04 6.5 1.00e+00 1.00e+00f 1\n", + " 148r-1.0478925e+01 2.35e+03 1.30e+03 0.9 1.36e-03 6.0 1.00e+00 1.00e+00f 1\n", + " 149r-1.0478638e+01 2.35e+03 1.30e+03 0.9 4.08e-03 5.5 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r-1.0478656e+01 2.35e+03 1.25e+04 0.9 7.74e-04 6.8 1.00e+00 1.00e+00f 1\n", + " 151r-1.0478628e+01 2.35e+03 1.29e+03 0.9 5.71e-04 6.4 1.00e+00 1.00e+00f 1\n", + " 152r-1.0478529e+01 2.35e+03 1.29e+03 0.9 1.71e-03 5.9 1.00e+00 1.00e+00f 1\n", + " 153r-1.0478496e+01 2.35e+03 1.29e+03 0.9 6.41e-04 6.3 1.00e+00 1.00e+00f 1\n", + " 154r-1.0478386e+01 2.35e+03 1.29e+03 0.9 1.92e-03 5.8 1.00e+00 1.00e+00f 1\n", + " 155r-1.0478004e+01 2.35e+03 1.46e+03 0.9 5.78e-03 5.3 1.00e+00 1.00e+00f 1\n", + " 156r-1.0476675e+01 2.35e+03 5.77e+03 0.9 1.74e-02 4.9 1.00e+00 1.00e+00f 1\n", + " 157r-1.0476162e+01 2.35e+03 1.30e+03 0.9 6.52e-03 5.3 1.00e+00 1.00e+00f 1\n", + " 158r-1.0474596e+01 2.35e+03 5.20e+03 0.9 1.95e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 159r-1.0474124e+01 2.35e+03 1.46e+04 0.9 7.26e-03 5.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r-1.0473931e+01 2.35e+03 1.64e+03 0.9 2.73e-03 5.7 1.00e+00 1.00e+00f 1\n", + " 161r-1.0473353e+01 2.35e+03 2.43e+03 0.9 8.19e-03 5.2 1.00e+00 1.00e+00f 1\n", + " 162r-1.0471520e+01 2.35e+03 1.29e+03 0.9 2.46e-02 4.7 1.00e+00 1.00e+00f 1\n", + " 163r-1.0466087e+01 2.35e+03 1.29e+03 0.9 7.40e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 164r-1.0455271e+01 2.35e+03 1.29e+03 0.9 2.22e-01 3.8 1.00e+00 7.45e-01f 1\n", + " 165r-1.0414681e+01 2.35e+03 2.41e+03 0.9 6.77e-01 3.3 1.00e+00 8.08e-01f 1\n", + " 166r-1.0412550e+01 2.35e+03 2.55e+03 0.9 2.01e+00 2.8 8.59e-01 4.12e-01f 1\n", + " 167r-1.0423391e+01 2.35e+03 4.15e+03 0.9 6.08e+00 2.3 4.85e-01 1.46e-01f 1\n", + " 168r-1.0437289e+01 2.35e+03 3.08e+03 0.9 2.25e+00 2.8 1.00e+00 2.66e-01f 1\n", + " 169r-1.0478317e+01 2.35e+03 2.98e+03 0.9 6.48e+00 2.3 6.44e-01 1.35e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r-1.0572375e+01 2.35e+03 3.02e+03 0.9 2.39e+00 2.7 1.00e+00 4.35e-01f 1\n", + " 171r-1.0602775e+01 2.35e+03 2.98e+03 0.9 7.26e+00 2.2 4.92e-01 1.10e-01f 1\n", + " 172r-1.0725643e+01 2.34e+03 8.15e+03 0.9 2.72e+00 2.7 1.00e+00 8.59e-01f 1\n", + " 173r-1.0755948e+01 2.34e+03 2.72e+03 0.9 1.02e+00 3.1 6.58e-01 7.11e-01f 1\n", + " 174r-1.0777640e+01 2.34e+03 2.28e+03 0.9 3.08e+00 2.6 6.80e-01 3.00e-01f 1\n", + " 175r-1.0834608e+01 2.34e+03 7.67e+03 0.9 9.22e+00 2.1 5.68e-01 3.15e-01f 1\n", + " 176r-1.0860736e+01 2.34e+03 4.37e+03 0.9 3.45e+00 2.6 4.39e-01 2.96e-01f 1\n", + " 177r-1.0930124e+01 2.34e+03 2.22e+03 0.9 1.23e+00 3.0 1.00e+00 5.08e-01f 1\n", + " 178r-1.0983506e+01 2.34e+03 2.18e+03 0.9 3.68e+00 2.5 8.59e-01 2.27e-01f 1\n", + " 179r-1.1092593e+01 2.34e+03 1.59e+03 0.9 1.38e+00 2.9 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r-1.1127190e+01 2.34e+03 1.18e+03 0.9 5.18e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 181r-1.1198922e+01 2.34e+03 1.50e+03 0.9 1.55e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 182r-1.1221462e+01 2.34e+03 1.18e+03 0.9 5.83e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 183r-1.1274432e+01 2.33e+03 1.62e+03 0.9 1.75e+00 2.8 1.00e+00 1.00e+00f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 184r-1.1291428e+01 2.33e+03 1.18e+03 0.9 6.55e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 185r-1.1336775e+01 2.33e+03 1.55e+03 0.9 1.96e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 186r-1.1351554e+01 2.33e+03 1.17e+03 0.9 7.37e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 187r-1.1395199e+01 2.33e+03 1.31e+03 0.9 2.21e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 188r-1.1409545e+01 2.33e+03 1.17e+03 0.9 8.28e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 189r-1.1454604e+01 2.33e+03 1.60e+03 0.9 2.48e+00 2.7 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r-1.1469483e+01 2.33e+03 1.17e+03 0.9 9.31e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 191r-1.1506626e+01 2.32e+03 1.17e+03 0.9 2.79e+00 2.6 1.00e+00 7.69e-01f 1\n", + " 192r-1.1570982e+01 2.32e+03 2.29e+03 0.9 8.34e+00 2.1 6.19e-01 4.59e-01f 1\n", + " 193r-1.1612090e+01 2.32e+03 1.17e+03 0.9 3.13e+00 2.6 1.00e+00 8.17e-01f 1\n", + " 194r-1.1623273e+01 2.32e+03 1.17e+03 0.9 9.26e+00 2.1 9.94e-01 4.77e-02f 1\n", + " 195r-1.2061835e+01 2.32e+03 3.29e+03 0.9 3.22e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 196r-1.2182768e+01 2.31e+03 1.09e+03 0.9 1.23e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 197r-1.2270040e+01 2.31e+03 1.08e+03 0.9 3.65e+00 2.5 1.00e+00 3.51e-01f 1\n", + " 198r-1.2702719e+01 2.31e+03 6.56e+03 0.9 1.08e+01 2.0 6.60e-01 7.01e-01f 1\n", + " 199r-1.2723100e+01 2.31e+03 2.85e+03 0.9 4.14e+00 2.4 1.00e+00 4.99e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200r-1.2714084e+01 2.30e+03 1.09e+03 0.9 1.57e+00 2.8 1.00e+00 6.06e-01f 1\n", + " 201r-1.2825997e+01 2.30e+03 1.07e+03 0.9 4.64e+00 2.4 1.00e+00 9.09e-02f 1\n", + " 202r-1.3653853e+01 2.30e+03 6.28e+03 0.9 1.40e+01 1.9 1.00e+00 3.78e-01f 1\n", + " 203r-1.3705091e+01 2.30e+03 6.08e+03 0.9 5.16e+00 2.3 1.00e+00 3.19e-02f 1\n", + " 204r-1.4251568e+01 2.30e+03 1.06e+03 0.9 1.91e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 205r-1.6118940e+01 2.29e+03 6.18e+03 0.9 5.75e+00 2.3 6.31e-01 1.00e+00f 1\n", + " 206r-1.6276861e+01 2.29e+03 1.01e+03 0.9 2.06e+00 2.7 6.82e-01 1.00e+00f 1\n", + " 207r-1.6396668e+01 2.29e+03 1.01e+03 0.9 6.30e+00 2.2 9.53e-01 1.25e-01f 1\n", + " 208r-1.7499706e+01 2.28e+03 7.33e+03 0.9 1.88e+01 1.7 6.88e-01 4.06e-01f 1\n", + " 209r-1.7484787e+01 2.28e+03 6.52e+03 0.9 8.92e-01 3.1 1.00e+00 1.10e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 210r-1.7317503e+01 2.28e+03 1.46e+03 0.9 3.61e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 211r-1.7338736e+01 2.28e+03 1.44e+03 0.9 9.70e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 212r-1.7414461e+01 2.28e+03 1.00e+03 0.9 2.91e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 213r-1.7430149e+01 2.27e+03 1.00e+03 0.9 1.09e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 214r-1.7491821e+01 2.27e+03 1.00e+03 0.9 3.27e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 215r-1.7497688e+01 2.27e+03 1.00e+03 0.9 1.22e+00 2.9 1.00e+00 5.80e-01f 1\n", + " 216r-1.7782718e+01 2.27e+03 1.02e+03 0.9 3.74e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 217r-1.7835230e+01 2.27e+03 1.01e+03 0.9 1.39e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 218r-1.8049822e+01 2.26e+03 1.01e+03 0.9 4.17e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 219r-1.8085939e+01 2.26e+03 1.00e+03 0.9 1.55e+00 2.8 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 220r-1.8243584e+01 2.26e+03 1.01e+03 0.9 4.68e+00 2.3 1.00e+00 1.00e+00f 1\n", + " 221r-1.8255170e+01 2.25e+03 1.00e+03 0.9 1.74e+00 2.8 1.00e+00 5.39e-01f 1\n", + " 222r-1.8263324e+01 2.25e+03 1.00e+03 0.9 5.25e+00 2.3 1.00e+00 5.86e-02f 1\n", + " 223r-1.8308706e+01 2.25e+03 1.00e+03 0.9 1.97e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 224r-1.8456513e+01 2.25e+03 1.50e+03 0.9 5.91e+00 2.2 1.00e+00 1.00e+00f 1\n", + " 225r-1.8484621e+01 2.24e+03 1.00e+03 0.9 2.21e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 226r-1.8528613e+01 2.24e+03 1.00e+03 0.9 6.63e+00 2.2 1.00e+00 3.77e-01f 1\n", + " 227r-1.8523664e+01 2.24e+03 1.00e+03 0.9 1.99e+01 1.7 1.00e+00 1.29e-02f 1\n", + " 228r-1.8333088e+01 2.23e+03 2.13e+03 0.9 7.49e+00 2.1 1.00e+00 1.00e+00f 1\n", + " 229r-1.8298300e+01 2.23e+03 1.02e+03 0.9 3.57e-01 3.5 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 230r-1.8262583e+01 2.23e+03 1.01e+03 0.9 1.06e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 231r-1.8148252e+01 2.23e+03 1.01e+03 0.9 3.17e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 232r-1.7722350e+01 2.22e+03 2.48e+03 0.9 9.53e+00 2.0 1.00e+00 1.00e+00f 1\n", + " 233r-1.7605271e+01 2.22e+03 1.06e+03 0.9 4.68e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 234r-1.7503878e+01 2.22e+03 1.31e+03 0.9 1.35e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 235r-1.7158355e+01 2.21e+03 1.02e+03 0.9 4.06e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 236r-1.5423604e+01 2.20e+03 3.70e+03 0.9 1.24e+01 1.9 1.00e+00 1.00e+00f 1\n", + " 237r-1.1966623e+01 2.20e+03 1.12e+03 0.9 5.02e+00 2.3 1.00e+00 1.00e+00f 1\n", + " 238r-1.2430280e+01 2.19e+03 1.19e+03 0.9 1.48e+01 1.9 1.00e+00 4.37e-01f 1\n", + " 239r-1.2441112e+01 2.19e+03 1.16e+03 0.9 5.47e+00 2.3 1.00e+00 3.13e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 240r-1.3011083e+01 2.18e+03 2.10e+04 0.9 1.60e+01 1.8 1.00e+00 1.00e+00f 1\n", + " 241r-1.3029229e+01 2.18e+03 3.03e+03 0.9 7.63e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 242r-1.3144362e+01 2.17e+03 2.44e+03 0.9 2.25e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 243r-1.3278493e+01 2.17e+03 1.06e+03 0.9 6.76e+00 2.2 1.00e+00 1.00e+00f 1\n", + " 244r-1.3350918e+01 2.16e+03 1.70e+03 0.9 2.02e+01 1.7 1.00e+00 6.52e-01f 1\n", + " 245r-1.3351414e+01 2.16e+03 1.66e+03 0.9 7.59e+00 2.1 1.00e+00 2.28e-02f 1\n", + " 246r-1.3350493e+01 2.16e+03 1.33e+03 0.9 2.85e+00 2.6 1.00e+00 1.82e-01f 1\n", + " 247r-1.3355091e+01 2.15e+03 1.12e+03 0.9 8.54e+00 2.1 1.00e+00 1.54e-01f 1\n", + " 248r-1.3364488e+01 2.15e+03 1.09e+03 0.9 2.55e+01 1.6 1.00e+00 1.01e-01f 1\n", + " 249r-1.3371238e+01 2.15e+03 1.06e+03 0.9 9.60e+00 2.0 1.00e+00 2.08e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 250r-1.3384009e+01 2.15e+03 1.06e+03 0.9 2.87e+01 1.6 1.00e+00 1.28e-01f 1\n", + " 251r-1.3391276e+01 2.14e+03 1.06e+03 0.9 1.08e+01 2.0 1.00e+00 2.18e-01f 1\n", + " 252r-1.3405333e+01 2.14e+03 1.06e+03 0.9 3.22e+01 1.5 9.44e-01 1.30e-01f 1\n", + " 253r-1.3412846e+01 2.14e+03 1.06e+03 0.9 1.21e+01 1.9 1.00e+00 2.13e-01f 1\n", + " 254r-1.3428662e+01 2.13e+03 1.06e+03 0.9 3.62e+01 1.5 8.89e-01 1.27e-01f 1\n", + " 255r-1.3438361e+01 2.13e+03 1.06e+03 0.9 1.36e+01 1.9 1.00e+00 2.06e-01f 1\n", + " 256r-1.3467133e+01 2.13e+03 1.05e+03 0.9 4.04e+01 1.4 9.34e-01 1.28e-01f 1\n", + " 257r-1.3561423e+01 2.12e+03 1.05e+03 0.9 1.48e+01 1.8 1.00e+00 1.86e-01f 1\n", + " 258r-1.4315528e+01 2.12e+03 1.65e+03 0.9 4.57e+01 1.4 3.55e-01 1.51e-01f 1\n", + " 259r-1.4627321e+01 2.12e+03 1.36e+03 0.9 2.11e+00 2.7 1.00e+00 1.75e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 260r-1.7448124e+01 2.11e+03 2.46e+03 0.9 6.33e+00 2.2 3.07e-01 1.00e+00f 1\n", + " 261r-1.7448278e+01 2.11e+03 1.00e+03 0.9 2.30e+00 2.6 1.00e+00 9.67e-01f 1\n", + " 262r-1.7527065e+01 2.11e+03 1.00e+03 0.9 6.94e+00 2.2 1.00e+00 5.69e-02f 1\n", + " 263r-1.7928108e+01 2.10e+03 1.00e+03 0.9 2.08e+01 1.7 1.00e+00 1.05e-01f 1\n", + " 264r-1.9508375e+01 2.09e+03 2.29e+03 0.9 6.25e+01 1.2 2.55e-01 2.28e-01f 1\n", + " 265r-1.9495549e+01 2.09e+03 2.14e+03 0.9 2.95e+00 2.5 1.00e+00 6.25e-02f 1\n", + " 266r-1.9496873e+01 2.08e+03 1.00e+03 0.9 8.72e+00 2.1 1.00e+00 7.87e-01f 1\n", + " 267r-1.9504830e+01 2.08e+03 1.00e+03 0.9 2.62e+01 1.6 1.00e+00 1.01e-02f 1\n", + " 268r-1.9739388e+01 2.07e+03 3.54e+03 0.9 9.82e+00 2.0 1.00e+00 1.00e+00f 1\n", + " 269r-1.9738744e+01 2.07e+03 3.92e+03 0.9 4.60e-01 3.3 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 270r-1.9773303e+01 2.07e+03 1.00e+03 0.9 1.38e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 271r-1.9871766e+01 2.07e+03 1.00e+03 0.9 4.14e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 272r-2.0131046e+01 2.06e+03 2.42e+03 0.9 1.24e+01 1.9 1.00e+00 1.00e+00f 1\n", + " 273r-2.0166977e+01 2.05e+03 1.11e+03 0.9 4.66e+00 2.3 1.00e+00 5.49e-01f 1\n", + " 274r-2.0191262e+01 2.05e+03 1.01e+03 0.9 1.40e+01 1.9 1.00e+00 1.06e-01f 1\n", + " 275r-2.0542882e+01 2.03e+03 9.58e+03 0.9 4.19e+01 1.4 1.00e+00 5.47e-01f 1\n", + " 276r-2.0515582e+01 2.03e+03 1.82e+04 0.9 2.51e-01 3.6 9.48e-01 1.00e+00f 1\n", + " 277r-1.9415646e+01 5.51e+02 1.81e+04 0.9 6.03e+06 - 4.51e-04 3.33e-04f 1\n", + " 278r-1.9386624e+01 5.54e+02 1.81e+04 0.9 1.29e+06 - 3.42e-03 1.56e-05f 1\n", + " 279r-1.9471143e+01 5.45e+02 1.80e+04 0.9 6.22e+03 - 2.71e-02 1.45e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 280r-2.0746408e+01 4.61e+02 9.44e+04 0.9 7.14e+03 - 1.38e-02 4.56e-02f 1\n", + " 281r-2.0564254e+01 4.10e+02 8.33e+04 0.9 9.92e+00 4.0 1.11e-01 1.13e-01h 1\n", + " 282r-1.8690639e+01 2.35e+02 5.18e+04 0.9 9.25e+00 3.6 5.73e-02 1.00e+00h 1\n", + " 283r-1.8698611e+01 2.32e+02 5.11e+04 0.9 3.43e+03 - 1.20e-03 1.02e-03f 1\n", + " 284r-1.8673273e+01 2.31e+02 4.84e+04 0.9 3.19e+00 3.1 3.23e-01 3.64e-02h 1\n", + " 285r-1.8700393e+01 2.18e+02 4.45e+04 0.9 2.33e+03 - 1.71e-02 6.26e-03f 1\n", + " 286r-1.8474414e+01 2.13e+02 1.03e+05 0.9 3.00e+00 2.6 8.53e-01 3.33e-01f 1\n", + " 287r-1.8403999e+01 2.13e+02 7.99e+04 0.9 2.28e+00 3.0 3.60e-01 1.31e-01f 1\n", + " 288r-1.8319641e+01 2.13e+02 5.15e+04 0.9 3.07e+00 2.6 3.02e-01 1.72e-01f 1\n", + " 289r-1.8244433e+01 2.12e+02 5.80e+04 0.9 2.41e+00 3.0 1.16e-01 1.78e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 290r-1.8215228e+01 2.12e+02 4.88e+04 0.9 1.82e+00 3.4 6.34e-02 8.20e-02h 3\n", + " 291r-1.8144417e+01 2.10e+02 2.79e+05 0.9 1.72e+00 3.8 3.94e-02 2.11e-01h 1\n", + " 292r-1.8138626e+01 2.10e+02 2.69e+05 0.9 1.35e+00 4.3 9.06e-02 2.17e-02h 4\n", + " 293r-1.8123118e+01 2.10e+02 2.37e+05 0.9 1.79e+00 3.8 1.21e-01 5.86e-02h 3\n", + " 294r-1.8066496e+01 2.08e+02 1.59e+05 0.9 2.62e+00 3.3 5.45e-01 2.28e-01h 1\n", + " 295r-1.8063409e+01 2.08e+02 1.57e+05 0.9 1.52e+00 3.7 1.67e-01 1.54e-02h 4\n", + " 296r-1.8059299e+01 2.08e+02 1.52e+05 0.9 1.42e+00 4.2 1.62e-01 2.11e-02h 4\n", + " 297r-1.8057396e+01 2.08e+02 1.51e+05 0.9 1.62e+00 3.7 1.25e-01 9.90e-03h 5\n", + " 298r-1.8052741e+01 2.08e+02 1.47e+05 0.9 1.56e+00 4.1 1.85e-01 2.49e-02h 4\n", + " 299r-1.8043665e+01 2.08e+02 1.40e+05 0.9 1.93e+00 3.6 1.95e-01 5.01e-02h 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 300r-1.8025193e+01 2.08e+02 1.10e+05 0.9 2.66e+00 3.1 6.61e-01 1.17e-01h 1\n", + " 301r-1.8016731e+01 2.07e+02 9.54e+04 0.9 3.52e+00 2.7 2.82e-01 8.37e-02h 3\n", + " 302r-1.8076444e+01 1.86e+02 9.49e+04 0.9 5.16e+03 - 1.38e-02 4.17e-03f 1\n", + " 303r-1.8334826e+01 9.31e+01 8.95e+04 0.9 5.68e+03 - 1.14e-01 2.15e-02f 1\n", + " 304r-1.8435647e+01 9.33e+01 8.85e+04 0.9 7.83e+03 - 9.03e-02 7.45e-03f 1\n", + " 305r-1.8419013e+01 7.59e+01 3.81e+04 0.9 4.57e+00 2.2 1.00e+00 2.26e-01f 1\n", + " 306r-1.8417242e+01 7.74e+01 3.79e+04 0.9 9.93e+02 - 3.31e-02 4.68e-03f 1\n", + " 307r-1.8416693e+01 7.57e+01 3.69e+04 0.9 4.35e+00 1.7 1.00e+00 2.28e-02f 1\n", + " 308r-1.8378129e+01 4.96e+01 3.49e+04 0.9 6.08e+00 1.2 1.00e+00 8.39e-01f 1\n", + " 309r-1.8377029e+01 4.94e+01 7.85e+04 0.9 1.14e-01 7.1 1.20e-01 5.03e-02h 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 310r-1.8372970e+01 4.18e+01 6.58e+04 0.9 2.06e+01 - 5.54e-01 1.64e-01f 1\n", + " 311r-1.8367085e+01 3.17e+01 4.86e+04 0.9 1.65e+01 - 3.40e-01 2.68e-01f 1\n", + " 312r-1.8363089e+01 2.53e+01 3.81e+04 0.9 1.06e+01 - 4.75e-01 2.20e-01f 1\n", + " 313r-1.8346395e+01 8.70e+00 3.66e+03 0.9 8.95e+00 - 4.05e-01 1.00e+00f 1\n", + " 314r-1.8346043e+01 1.07e+00 1.28e+04 0.9 3.51e-03 6.6 1.00e+00 1.00e+00h 1\n", + " 315r-1.8346044e+01 1.16e-01 8.52e+02 0.9 5.17e-04 6.1 1.00e+00 1.00e+00f 1\n", + " 316r-1.8346046e+01 1.16e-01 4.29e+02 0.9 9.57e-04 5.7 1.00e+00 1.00e+00f 1\n", + " 317r-1.8346056e+01 1.65e-01 5.66e+02 0.2 3.76e-03 5.2 1.00e+00 1.00e+00f 1\n", + " 318r-1.8346120e+01 8.14e-01 4.02e+02 0.2 7.76e-03 4.7 1.00e+00 8.68e-01f 1\n", + " 319r-1.8346285e+01 1.33e+00 4.15e+02 0.2 2.13e-02 4.2 1.00e+00 8.55e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 320r-1.8346558e+01 9.40e-01 2.28e+02 0.2 3.33e-02 3.7 1.00e+00 8.95e-01f 1\n", + " 321r-1.8347152e+01 1.18e+00 1.61e+02 0.2 6.51e-02 3.3 1.00e+00 9.96e-01f 1\n", + " 322r-1.8348178e+01 1.88e+00 1.59e+02 0.2 1.26e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 323r-1.8349791e+01 1.24e+00 1.64e+02 0.2 2.46e-01 2.3 1.00e+00 1.00e+00f 1\n", + " 324r-1.8351693e+01 3.09e+00 1.80e+02 0.2 4.79e-01 1.8 1.00e+00 1.00e+00f 1\n", + " 325r-1.7803977e+01 3.82e+00 1.76e+02 0.2 3.86e+01 - 2.49e-01 1.66e-01f 1\n", + " 326r-1.7013700e+01 5.27e+00 4.68e+02 0.2 3.56e+01 - 6.82e-01 1.86e-01f 1\n", + " 327r-1.6798197e+01 1.25e+00 9.19e+01 0.2 9.42e-01 1.4 1.00e+00 1.00e+00f 1\n", + " 328r-1.6549868e+01 4.03e+01 4.38e+02 -0.5 1.25e+01 - 1.08e-01 1.34e-01f 1\n", + " 329r-1.6538028e+01 3.49e+01 2.65e+02 -0.5 9.62e-02 2.7 6.22e-01 4.28e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 330r-1.6530306e+01 2.01e+01 3.75e+02 -0.5 1.35e-01 2.2 8.40e-01 5.43e-01f 1\n", + " 331r-1.6529920e+01 1.52e+01 7.17e+02 -0.5 3.85e-01 1.7 1.00e+00 2.86e-01f 1\n", + " 332r-1.6534910e+01 6.36e+00 2.86e+02 -0.5 1.01e+00 1.3 1.00e+00 6.79e-01f 1\n", + " 333r-1.6539565e+01 4.50e+00 4.74e+02 -0.5 2.44e+00 0.8 1.00e+00 3.11e-01f 1\n", + " 334r-1.6859397e+01 3.72e+00 6.73e+02 -0.5 1.75e+01 - 1.00e+00 1.77e-01f 1\n", + " 335r-1.6668131e+01 3.27e+00 4.68e+02 -0.5 1.66e+01 - 7.32e-01 1.73e-01f 1\n", + " 336r-1.6427053e+01 3.10e+00 6.15e+02 -0.5 2.31e+01 - 1.00e+00 2.40e-01f 1\n", + " 337r-1.6358124e+01 2.56e+00 5.52e+02 -0.5 3.27e+01 - 6.17e-01 1.89e-01f 1\n", + " 338r-1.6038198e+01 2.75e+00 4.65e+02 -0.5 3.25e+01 - 9.45e-01 3.35e-01f 1\n", + " 339r-1.5955134e+01 2.59e+00 5.18e+02 -0.5 3.31e+01 - 1.00e+00 7.89e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 340r-1.4026817e+01 8.46e+00 2.01e+02 -0.5 4.91e+00 - 1.00e+00 8.16e-01f 1\n", + " 341r-1.3958001e+01 2.55e+00 3.91e+02 -0.5 6.57e-01 0.3 3.37e-01 7.42e-01f 1\n", + " 342r-1.3960857e+01 1.24e+00 3.60e+02 -0.5 1.96e-01 1.6 9.40e-01 6.45e-01f 1\n", + " 343r-1.4002816e+01 2.73e+00 3.17e+02 -0.5 3.95e+00 - 1.37e-01 1.59e-01f 1\n", + " 344r-1.4023774e+01 7.39e-01 2.79e+02 -0.5 1.12e-01 1.2 1.00e+00 1.00e+00f 1\n", + " 345r-1.4383343e+01 8.27e-01 1.12e+03 -0.5 3.72e-01 0.7 1.00e+00 1.00e+00h 1\n", + " 346r-1.5745630e+01 5.00e+00 2.75e+02 -0.5 2.57e+00 0.2 9.36e-01 8.57e-01f 1\n", + " 347r-1.5628053e+01 9.16e-01 2.14e+02 -0.5 2.69e-01 1.5 1.00e+00 1.00e+00f 1\n", + " 348r-1.5625860e+01 1.82e-01 5.37e+01 -0.5 1.93e-02 2.0 1.00e+00 1.00e+00h 1\n", + " 349r-1.6084164e+01 1.86e+00 2.42e+02 -0.5 1.98e+00 - 8.18e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 350r-1.6554042e+01 2.12e+00 2.86e+01 -0.5 1.34e+00 - 1.00e+00 1.00e+00h 1\n", + " 351r-1.6427991e+01 1.26e+00 1.25e+01 -0.5 5.16e-01 - 1.00e+00 1.00e+00h 1\n", + " 352r-1.6429641e+01 3.73e-01 1.59e+02 -1.2 9.72e-01 - 1.00e+00 8.69e-01f 1\n", + " 353r-1.6350094e+01 3.48e-01 1.26e+03 -1.2 1.23e+01 - 7.58e-01 1.16e-01f 1\n", + " 354r-1.6173058e+01 7.34e-01 1.68e+03 -1.2 9.25e+00 - 1.00e+00 1.83e-01f 1\n", + " 355r-1.6000319e+01 1.30e+00 1.32e+03 -1.2 7.71e+00 - 1.00e+00 2.64e-01f 1\n", + " 356r-1.5787450e+01 1.99e+00 8.35e+02 -1.2 7.40e+00 - 1.00e+00 3.73e-01f 1\n", + " 357r-1.5332704e+01 4.57e+00 7.22e+01 -1.2 6.36e+00 - 1.00e+00 1.00e+00f 1\n", + " 358r-1.5290318e+01 1.57e-01 3.13e+00 -1.2 2.84e+00 - 1.00e+00 1.00e+00h 1\n", + " 359r-1.5584114e+01 4.37e-01 1.95e+02 -1.9 1.88e+00 - 9.10e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 360r-1.5259138e+01 1.57e+00 8.11e+01 -1.9 2.10e+01 - 3.56e-01 1.87e-01f 1\n", + " 361r-1.5243231e+01 2.03e-02 8.44e+00 -1.9 6.32e-02 1.5 1.00e+00 1.00e+00h 1\n", + " 362r-1.5245119e+01 5.57e-03 1.90e+00 -1.9 1.71e-02 1.0 1.00e+00 1.00e+00h 1\n", + " 363r-1.5112278e+01 6.09e-01 1.65e+02 -1.9 1.70e+01 - 6.86e-01 2.79e-01f 1\n", + " 364r-1.4906134e+01 2.09e+00 1.36e+02 -1.9 2.13e+01 - 1.00e+00 5.25e-01f 1\n", + " 365r-1.4898310e+01 1.78e+00 1.29e+02 -1.9 1.37e+01 - 1.00e+00 1.66e-01h 1\n", + " 366r-1.4643307e+01 1.21e+00 2.91e+01 -1.9 1.12e+01 - 1.00e+00 1.00e+00h 1\n", + " 367r-1.4641394e+01 5.36e-02 2.18e-01 -1.9 3.20e+00 - 1.00e+00 1.00e+00h 1\n", + " 368r-1.5050973e+01 5.12e-01 3.39e+02 -2.9 1.32e+00 - 6.39e-01 1.00e+00f 1\n", + " 369r-1.4436269e+01 2.33e+00 2.14e+02 -2.9 3.28e+01 - 3.60e-01 2.49e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 370r-1.4081335e+01 2.94e+00 1.85e+02 -2.9 2.17e+01 - 1.35e-01 1.38e-01f 1\n", + " 371r-1.4094379e+01 2.87e+00 5.90e+02 -2.9 6.75e-01 0.5 2.46e-01 2.55e-02h 1\n", + " 372r-1.4093236e+01 2.86e+00 3.34e+02 -2.9 1.89e+01 - 5.34e-01 2.31e-03h 1\n", + " 373r-1.3986240e+01 2.79e+00 3.10e+02 -2.9 1.77e+01 - 1.00e+00 1.28e-01f 1\n", + " 374r-1.3831680e+01 3.19e+00 2.59e+02 -2.9 1.40e+01 - 1.00e+00 2.04e-01h 1\n", + " 375r-1.3711147e+01 4.03e+00 2.77e+02 -2.9 8.65e+00 - 1.00e+00 1.78e-01h 1\n", + " 376r-1.2072513e+01 7.12e+01 1.27e+02 -2.9 1.10e+01 - 1.00e+00 9.98e-01h 1\n", + " 377r-1.2293309e+01 6.83e+01 1.21e+02 -2.9 9.92e+00 - 4.75e-01 4.52e-02h 1\n", + " 378r-1.3036278e+01 5.11e+01 9.82e+01 -2.9 5.09e+00 - 1.00e+00 3.39e-01h 1\n", + " 379r-1.3317436e+01 1.68e+01 3.97e+01 -2.9 2.53e+00 - 1.00e+00 7.35e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 380r-1.3241069e+01 3.10e-01 2.43e-02 -2.9 6.61e-01 - 1.00e+00 1.00e+00h 1\n", + " 381r-1.3230401e+01 1.25e-03 3.36e-05 -2.9 3.33e-02 - 1.00e+00 1.00e+00h 1\n", + " 382r-1.3236533e+01 7.25e-04 4.59e-01 -4.4 1.06e-01 - 1.00e+00 1.00e+00f 1\n", + " 383r-1.3236806e+01 6.51e-04 6.63e+02 -4.4 7.17e-02 - 1.00e+00 1.07e-01h 1\n", + " 384r-1.3237030e+01 4.12e-07 2.03e-02 -4.4 3.35e-03 - 1.00e+00 1.00e+00h 1\n", + " 385r-1.3237030e+01 1.48e-08 5.70e-10 -4.4 3.42e-06 - 1.00e+00 1.00e+00h 1\n", + " 386r-1.3237050e+01 5.81e-09 9.66e-02 -6.6 3.79e-04 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 386\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -1.4305829050578563e+01 -1.4305829050578563e+01\n", - "Dual infeasibility......: 8.8910717677137541e-10 8.8910717677137541e-10\n", - "Constraint violation....: 2.2737367544323206e-13 2.6356694604601216e-13\n", + "Objective...............: -1.3237050371369904e+01 -1.3237050371369904e+01\n", + "Dual infeasibility......: 2.6687985155149363e-10 2.6687985155149363e-10\n", + "Constraint violation....: 5.8136038205702789e-09 5.8136038205702789e-09\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.2737367544323206e-13 8.8910717677137541e-10\n", + "Overall NLP error.......: 5.8136038205702789e-09 5.8136038205702789e-09\n", "\n", "\n", - "Number of objective function evaluations = 12\n", - "Number of objective gradient evaluations = 12\n", - "Number of equality constraint evaluations = 12\n", + "Number of objective function evaluations = 571\n", + "Number of objective gradient evaluations = 6\n", + "Number of equality constraint evaluations = 571\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 12\n", + "Number of equality constraint Jacobian evaluations = 388\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 11\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.097\n", - "Total CPU secs in NLP function evaluations = 0.012\n", + "Number of Lagrangian Hessian evaluations = 386\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 4.402\n", + "Total CPU secs in NLP function evaluations = 0.447\n", "\n", - "EXIT: Optimal Solution Found.\n", - "FIM: [[ 46.3444914 24.15944315 -111.81903818 -100.64870734]\n", - " [ 24.15944315 57.16995403 -42.45028808 -263.97068195]\n", - " [-111.81903818 -42.45028808 292.50015605 182.04287127]\n", - " [-100.64870734 -263.97068195 182.04287127 1280.48874223]]\n", - "Trace: 1676.5033437052477\n", - "Determinant: 1632836.1834134806\n", - "Condition number: 1341.51840758619\n", - "Minimal eigen value: 1.0276187561345163\n", - "Eigen values: [1.37856948e+03 2.92972054e+02 1.02761876e+00 3.93419370e+00]\n", - "Eigen vectors: [[ 0.09102767 -0.33462434 -0.68013822 0.64587346]\n", - " [ 0.19903479 0.02167086 0.68301615 0.70242755]\n", - " [-0.17796084 0.92103913 -0.23711535 0.2525731 ]\n", - " [-0.95938994 -0.19810059 0.12114973 0.16015569]]\n", - "Model objective: 14.305829050578563\n", - "Objective(determinant) is: 1632836.1834134837\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FIM: [[ 34.82843309 8.984655 -93.24076113 -36.95321436]\n", + " [ 8.984655 34.72022839 -19.10068151 -169.3211828 ]\n", + " [ -93.24076113 -19.10068151 261.9835756 82.95162856]\n", + " [ -36.95321436 -169.3211828 82.95162856 876.13508114]]\n", + "Trace: 1207.6673182276875\n", + "Determinant: 560761.169565876\n", + "Condition number: 1016.6953775260088\n", + "Minimal eigen value: 0.9075873179593128\n", + "Eigen values: [9.22739831e+02 2.81642446e+02 9.07587318e-01 2.37745409e+00]\n", + "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", + " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", + " [-0.13533434 0.93253239 -0.26619814 0.20299388]\n", + " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", + "Model objective: 13.237050371369904\n", + "Objective(trace) is: 560761.1696834561\n", "Solution of CA0 : [5]\n", - "Solution of T : [570.21, 300, 300, 300, 300, 300, 300, 300, 300]\n", + "Solution of T : [500]\n", "======problem solver output======\n", "converged\n", "Ipopt 3.13.3: linear_solver=ma57\n", @@ -495,93 +1660,88 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 25152\n", + "Number of nonzeros in equality constraint Jacobian...: 25168\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", "Number of nonzeros in Lagrangian Hessian.............: 1931\n", "\n", - "Reallocating memory for MA57: lfact (321469)\n", - "Reallocating memory for MA57: lfact (338851)\n", + "Reallocating memory for MA57: lfact (322524)\n", "Total number of variables............................: 6416\n", " variables with only lower bounds: 2316\n", " variables with lower and upper bounds: 98\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6406\n", + "Total number of equality constraints.................: 6414\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.4305829e+01 1.18e-01 1.48e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.4321447e+01 1.01e-01 7.69e+00 -1.0 6.36e+01 - 9.47e-01 1.41e-01h 1\n", - " 2 -1.4220000e+01 2.40e+01 5.69e+01 -1.0 2.21e+02 - 6.97e-01 1.00e+00f 1\n", - " 3 -1.3719762e+01 3.21e+01 5.63e+01 -1.0 2.90e+02 - 1.00e+00 9.42e-01f 1\n", - " 4 -1.3377054e+01 2.55e+01 3.32e+01 -1.0 1.53e+02 - 1.00e+00 1.00e+00f 1\n", - " 5 -1.3370445e+01 3.77e-01 2.69e+00 -1.0 1.26e+01 - 1.00e+00 1.00e+00h 1\n", - " 6 -1.3365800e+01 3.01e-03 2.27e-02 -1.0 1.07e+00 - 1.00e+00 1.00e+00h 1\n", - " 7 -1.3372676e+01 5.35e-03 1.57e-01 -2.5 5.51e+00 - 1.00e+00 1.00e+00h 1\n", - " 8 -1.3980505e+01 1.57e+01 9.78e+01 -2.5 1.30e+02 - 1.00e+00 1.00e+00F 1\n", - " 9 -1.3842490e+01 4.80e+00 7.55e+00 -2.5 5.46e+01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.3756903e+01 1.10e+00 2.63e+00 -2.5 2.89e+01 - 1.00e+00 1.00e+00h 1\n", - " 11 -1.3759844e+01 7.51e-03 1.39e-02 -2.5 3.89e+00 - 1.00e+00 1.00e+00h 1\n", - " 12 -1.4175513e+01 1.85e+01 3.95e+01 -3.8 8.85e+01 - 5.60e-01 1.00e+00f 1\n", - " 13 -1.4300654e+01 1.23e+01 1.03e+01 -3.8 1.88e+02 - 1.00e+00 1.00e+00h 1\n", - " 14 -1.4303100e+01 2.71e+00 1.02e+00 -3.8 6.83e+01 - 1.00e+00 1.00e+00h 1\n", - " 15 -1.4293066e+01 1.70e-02 2.17e-02 -3.8 3.13e+00 - 1.00e+00 1.00e+00h 1\n", - " 16 -1.4293051e+01 1.70e-07 2.55e-07 -3.8 3.60e-02 - 1.00e+00 1.00e+00h 1\n", - " 17 -1.4310193e+01 1.00e+00 4.13e-01 -5.7 4.55e+01 - 9.17e-01 1.00e+00f 1\n", - " 18 -1.4308345e+01 8.84e-03 4.07e-03 -5.7 4.40e+00 - 1.00e+00 1.00e+00h 1\n", - " 19 -1.4308378e+01 1.74e-05 9.73e-07 -5.7 3.79e-01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.4308538e+01 2.20e-04 8.75e-05 -8.6 6.45e-01 - 1.00e+00 1.00e+00h 1\n", - " 21 -1.4308537e+01 5.67e-10 2.16e-07 -8.6 2.16e-03 -4.0 1.00e+00 1.00e+00h 1\n", - " 22 -1.4308537e+01 2.26e-10 1.02e-10 -8.6 6.52e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 22\n", + " 0 -1.3237050e+01 4.38e-01 1.59e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (347535)\n", + " 1 -1.3250603e+01 3.62e-01 8.68e+00 -1.0 1.09e+01 - 9.59e-01 1.73e-01h 1\n", + " 2 -1.3263724e+01 1.76e-01 2.08e+01 -1.0 3.71e+01 - 5.88e-01 1.00e+00H 1\n", + " 3 -1.3300325e+01 2.76e+01 4.10e+02 -1.0 9.15e+01 - 3.84e-01 8.86e-01f 1\n", + " 4 -1.3249541e+01 1.75e+01 1.38e+02 -1.0 7.34e+01 - 5.85e-01 1.00e+00f 1\n", + " 5 -1.3249182e+01 5.54e+01 1.94e+02 -1.0 1.81e+02 - 4.67e-01 1.00e+00f 1\n", + " 6 -1.3182923e+01 2.26e+01 2.77e+01 -1.0 1.26e+02 - 6.17e-01 1.00e+00f 1\n", + " 7 -1.3144218e+01 5.70e+01 1.96e+01 -1.0 2.45e+02 - 6.06e-01 1.00e+00f 1\n", + " 8 -1.3075336e+01 1.41e+01 3.15e+01 -1.0 5.98e+01 - 6.42e-01 1.00e+00f 1\n", + " 9 -1.3102315e+01 6.31e+00 1.75e+01 -1.0 2.58e+01 - 8.16e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.3128189e+01 1.96e+00 5.94e-01 -1.0 6.77e+01 - 1.00e+00 1.00e+00h 1\n", + " 11 -1.3135808e+01 2.02e-02 8.59e-03 -1.0 5.94e+00 - 1.00e+00 1.00e+00h 1\n", + " 12 -1.3135967e+01 6.96e-05 8.73e-03 -2.5 2.77e-01 - 1.00e+00 1.00e+00h 1\n", + " 13 -1.3142004e+01 1.23e-01 1.74e-01 -3.8 1.26e+01 - 9.79e-01 1.00e+00h 1\n", + " 14 -1.3143769e+01 1.30e-03 7.35e-04 -3.8 1.54e+00 -4.0 1.00e+00 1.00e+00h 1\n", + " 15 -1.3146132e+01 1.38e-02 6.25e-03 -5.7 4.57e+00 -4.5 9.87e-01 1.00e+00h 1\n", + " 16 -1.3154238e+01 1.62e-01 5.07e-02 -5.7 1.61e+01 -5.0 1.00e+00 1.00e+00h 1\n", + " 17 -1.3192687e+01 3.08e+00 9.46e-01 -5.7 7.46e+01 -5.4 1.00e+00 1.00e+00h 1\n", + " 18 -1.3220928e+01 3.80e+00 1.16e+00 -5.7 1.10e+03 -5.9 2.69e-01 3.96e-02h 1\n", + " 19 -1.3231006e+01 6.29e-02 4.88e-02 -5.7 3.48e+00 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.3237631e+01 3.80e-02 1.36e-02 -5.7 9.12e+00 - 1.00e+00 1.00e+00h 1\n", + " 21 -1.3237666e+01 4.95e-06 3.18e-06 -5.7 7.63e-02 - 1.00e+00 1.00e+00h 1\n", + " 22 -1.3237847e+01 2.69e-05 1.07e-05 -8.6 2.43e-01 - 1.00e+00 1.00e+00h 1\n", + " 23 -1.3237847e+01 1.49e-11 5.33e-12 -8.6 1.77e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 23\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -1.4308537311814217e+01 -1.4308537311814217e+01\n", - "Dual infeasibility......: 1.0159980836483156e-10 1.0159980836483156e-10\n", - "Constraint violation....: 1.1933933525979343e-10 2.2635049390373752e-10\n", - "Complementarity.........: 2.5059036092815866e-09 2.5059036092815866e-09\n", - "Overall NLP error.......: 2.5059036092815866e-09 2.5059036092815866e-09\n", + "Objective...............: -1.3237846622082674e+01 -1.3237846622082674e+01\n", + "Dual infeasibility......: 5.3290705182007514e-12 5.3290705182007514e-12\n", + "Constraint violation....: 1.0913936421275139e-11 1.4892975741531700e-11\n", + "Complementarity.........: 2.5059048858154309e-09 2.5059048858154309e-09\n", + "Overall NLP error.......: 2.5059048858154309e-09 2.5059048858154309e-09\n", "\n", "\n", - "Number of objective function evaluations = 24\n", - "Number of objective gradient evaluations = 23\n", - "Number of equality constraint evaluations = 24\n", + "Number of objective function evaluations = 26\n", + "Number of objective gradient evaluations = 24\n", + "Number of equality constraint evaluations = 26\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 23\n", + "Number of equality constraint Jacobian evaluations = 24\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 22\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.208\n", - "Total CPU secs in NLP function evaluations = 0.027\n", + "Number of Lagrangian Hessian evaluations = 23\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.214\n", + "Total CPU secs in NLP function evaluations = 0.023\n", "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "FIM: [[ 46.24824873 24.02029597 -111.11259575 -98.84096347]\n", - " [ 24.02029597 56.00750616 -41.77758393 -257.36193473]\n", - " [-111.11259575 -41.77758393 290.34323271 177.30691662]\n", - " [ -98.84096347 -257.36193473 177.30691662 1245.84730921]]\n", - "Trace: 1638.4462968124803\n", - "Determinant: 1637264.3239264484\n", - "Condition number: 1318.2046058189794\n", - "Minimal eigen value: 1.018082460753852\n", - "Eigen values: [1.34204099e+03 2.91273175e+02 1.01808246e+00 4.11405006e+00]\n", - "Eigen vectors: [[ 0.09222082 -0.33473764 -0.67734443 0.64857579]\n", - " [ 0.19945077 0.02109713 0.6862249 0.69919216]\n", - " [-0.1793339 0.9206072 -0.23558824 0.25459757]\n", - " [-0.95893382 -0.19997003 0.12164738 0.16018689]]\n", - "Model objective: 14.308537311814217\n", - "Objective(determinant) is: 1637264.3239272628\n", + "EXIT: Optimal Solution Found.\n", + "FIM: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", + " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", + " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", + " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n", + "Trace: 1981.0424592681254\n", + "Determinant: 561207.853977222\n", + "Condition number: 2950.220504105462\n", + "Minimal eigen value: 0.5016010464924008\n", + "Eigen values: [1.47983369e+03 4.99192614e+02 5.01601046e-01 1.51455219e+00]\n", + "Eigen vectors: [[-0.03538095 0.3120344 -0.77934566 0.54222049]\n", + " [-0.17098781 -0.01375256 0.56416591 0.80764526]\n", + " [ 0.09797729 -0.94433769 -0.25524836 0.18296187]\n", + " [ 0.97975089 0.10330402 0.09584074 0.14223581]]\n", + "Model objective: 13.237846622082674\n", + "Objective(trace) is: 561207.8539772539\n", "Solution of CA0 : [5.0]\n", - "Solution of T : [579.2123483692055, 300.00000829024395, 300.00001529530726, 300.00002224158675, 300.0000306452559, 300.0000437403924, 300.0000694587363, 300.00014505287686, 300.00044564425997]\n", + "Solution of T : [300.0000242851759]\n", "======problem solver output======\n", "converged\n" ] @@ -592,12 +1752,12 @@ " ['CA','CB','CC'], t_measure, createmod,\n", " prior_FIM=prior_pass, discretize_model=disc)\n", "\n", - "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, scale_nominal_param_value=True, objective_option='det', L_initial=None)\n" + "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, scale_nominal_param_value=True, objective_option='trace', L_initial=None)\n" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 18, "id": "c6b08c05", "metadata": {}, "outputs": [ @@ -607,12 +1767,12 @@ "text": [ "======Result summary======\n", "This optimization is solved with status: converged\n", - "It gives solution: {'CA0': [5.0], 'T': [579.2123483692055, 300.00000829024395, 300.00001529530726, 300.00002224158675, 300.0000306452559, 300.0000437403924, 300.0000694587363, 300.00014505287686, 300.00044564425997]}\n", - "The log10(OF) optimized is: 14.308537311814217\n", - "The result FIM is: [[ 46.24824873 24.02029597 -111.11259575 -98.84096347]\n", - " [ 24.02029597 56.00750616 -41.77758393 -257.36193473]\n", - " [-111.11259575 -41.77758393 290.34323271 177.30691662]\n", - " [ -98.84096347 -257.36193473 177.30691662 1245.84730921]]\n" + "It gives solution: {'CA0': [5.0], 'T': [300.0000242851759]}\n", + "The log10(OF) optimized is: 13.237846622082674\n", + "The result FIM is: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", + " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", + " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", + " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n" ] } ], @@ -634,12 +1794,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "id": "427c7dc8", "metadata": {}, "outputs": [], "source": [ - "design_ranges = [list(np.linspace(1,5,5)), list(np.linspace(300,700,5))]\n", + "design_ranges = [list(np.linspace(1,5,9)), list(np.linspace(300,700,9))]\n", "\n", "dv_apply_name = ['CA0','T']\n", "\n", @@ -654,12 +1814,1782 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "id": "dcfae212", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "81 design vectors will be searched.\n", + "=======This is the 1 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1562581062316895 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", + " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", + " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", + " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", + "Trace: 1099.5362969977725\n", + "Determinant: 151638.4943213679\n", + "Condition number: 1703.5708820968514\n", + "Minimal eigen value: 0.48581739042109506\n", + "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", + "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", + " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", + " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", + " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", + "This is the 1 run out of 81 run.\n", + "The code has run 1.1607 seconds.\n", + "Estimated remaining time: 92.8597 seconds\n", + "=======This is the 2 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2791168689727783 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.32275018 5.73052082 -83.45733449 -25.66817709]\n", + " [ 5.73052082 27.64850163 -13.26806928 -145.64721142]\n", + " [ -83.45733449 -13.26806928 245.06096284 63.15882951]\n", + " [ -25.66817709 -145.64721142 63.15882951 800.38603338]]\n", + "Trace: 1102.4182480406644\n", + "Determinant: 150855.125045628\n", + "Condition number: 1705.3048930035557\n", + "Minimal eigen value: 0.48997231855823686\n", + "Eigen values: [8.35552192e+02 2.64985514e+02 4.89972319e-01 1.39056985e+00]\n", + "Eigen vectors: [[ 0.04421991 -0.31912029 -0.77638562 0.54169383]\n", + " [ 0.17820018 0.01472016 0.5657347 0.80496724]\n", + " [-0.1146775 0.93969452 -0.2597058 0.19072538]\n", + " [-0.97628805 -0.12214649 0.0986028 0.14906159]]\n", + "This is the 2 run out of 81 run.\n", + "The code has run 2.4422 seconds.\n", + "Estimated remaining time: 96.4665 seconds\n", + "=======This is the 3 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2578837871551514 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.13959316 5.68057605 -82.8139664 -25.23666085]\n", + " [ 5.68057605 27.27296764 -13.04504074 -143.14725332]\n", + " [ -82.8139664 -13.04504074 242.98173477 61.60044815]\n", + " [ -25.23666085 -143.14725332 61.60044815 784.93406012]]\n", + "Trace: 1084.3283557002067\n", + "Determinant: 152039.07832960782\n", + "Condition number: 1641.2051904546718\n", + "Minimal eigen value: 0.4993357281605193\n", + "Eigen values: [8.19512389e+02 2.62903408e+02 4.99335728e-01 1.41322349e+00]\n", + "Eigen vectors: [[ 0.04447521 -0.31931057 -0.77803254 0.53919206]\n", + " [ 0.17859423 0.01458837 0.56323502 0.80663349]\n", + " [-0.11473313 0.93961044 -0.26036328 0.19020907]\n", + " [-0.97619791 -0.12231173 0.09819695 0.14978263]]\n", + "This is the 3 run out of 81 run.\n", + "The code has run 3.7027 seconds.\n", + "Estimated remaining time: 96.2691 seconds\n", + "=======This is the 4 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3476462364196777 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.01044333 5.6006748 -82.42582703 -24.78056053]\n", + " [ 5.6006748 26.92260118 -12.8093067 -141.30405073]\n", + " [ -82.42582703 -12.8093067 241.89507006 60.33727148]\n", + " [ -24.78056053 -141.30405073 60.33727148 775.5570763 ]]\n", + "Trace: 1073.3851908623308\n", + "Determinant: 152189.04419265324\n", + "Condition number: 1609.9994023835127\n", + "Minimal eigen value: 0.5028391663221075\n", + "Eigen values: [8.09570757e+02 2.61884047e+02 5.02839166e-01 1.42754706e+00]\n", + "Eigen vectors: [[ 0.04433757 -0.31929264 -0.77731938 0.54024159]\n", + " [ 0.17845201 0.014419 0.56435213 0.80588687]\n", + " [-0.1142325 0.93968376 -0.2600425 0.19058663]\n", + " [-0.97628889 -0.12181434 0.09828098 0.14953969]]\n", + "This is the 4 run out of 81 run.\n", + "The code has run 5.0535 seconds.\n", + "Estimated remaining time: 97.2792 seconds\n", + "=======This is the 5 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5459139347076416 s.\n", + "Existed information has been added.\n", + "FIM: [[ 28.92490828 5.55538372 -82.19690664 -24.54095093]\n", + " [ 5.55538372 26.74178551 -12.68546547 -140.44317569]\n", + " [ -82.19690664 -12.68546547 241.32359269 59.73172413]\n", + " [ -24.54095093 -140.44317569 59.73172413 771.61101462]]\n", + "Trace: 1068.6013010931579\n", + "Determinant: 151629.20405875487\n", + "Condition number: 1602.4379552920132\n", + "Minimal eigen value: 0.5025670284947488\n", + "Eigen values: [8.05332482e+02 2.61332679e+02 5.02567028e-01 1.43357337e+00]\n", + "Eigen vectors: [[ 0.04419056 -0.31920854 -0.77605387 0.54211945]\n", + " [ 0.17828909 0.01431314 0.56629712 0.80455932]\n", + " [-0.11385326 0.93976516 -0.25949412 0.19115878]\n", + " [-0.97636962 -0.12141862 0.09854321 0.14916141]]\n", + "This is the 5 run out of 81 run.\n", + "The code has run 6.6020 seconds.\n", + "Estimated remaining time: 100.3506 seconds\n", + "=======This is the 6 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.440709114074707 s.\n", + "Existed information has been added.\n", + "FIM: [[ 28.86882939 5.53037525 -82.05970295 -24.41164554]\n", + " [ 5.53037525 26.64172746 -12.6186346 -140.0045525 ]\n", + " [ -82.05970295 -12.6186346 241.01199885 59.42386584]\n", + " [ -24.41164554 -140.0045525 59.42386584 769.77181902]]\n", + "Trace: 1066.294374711943\n", + "Determinant: 150651.09426599584\n", + "Condition number: 1605.4640856393876\n", + "Minimal eigen value: 0.5003756301004131\n", + "Eigen values: [8.03335103e+02 2.61023074e+02 5.00375630e-01 1.43582164e+00]\n", + "Eigen vectors: [[ 0.04408811 -0.31912119 -0.77484501 0.54390542]\n", + " [ 0.17816725 0.0142491 0.56813973 0.80328739]\n", + " [-0.11361614 0.93982827 -0.25897468 0.19169326]\n", + " [-0.97642411 -0.12116701 0.09881581 0.14882859]]\n", + "This is the 6 run out of 81 run.\n", + "The code has run 8.0455 seconds.\n", + "Estimated remaining time: 100.5691 seconds\n", + "=======This is the 7 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4088640213012695 s.\n", + "Existed information has been added.\n", + "FIM: [[ 28.83024839 5.51197609 -81.9726446 -24.32382628]\n", + " [ 5.51197609 26.57520042 -12.57324566 -139.74017115]\n", + " [ -81.9726446 -12.57324566 240.83051064 59.23199143]\n", + " [ -24.32382628 -139.74017115 59.23199143 768.76471335]]\n", + "Trace: 1065.0006727945133\n", + "Determinant: 149413.08866872228\n", + "Condition number: 1612.3033965284394\n", + "Minimal eigen value: 0.4975647310687059\n", + "Eigen values: [8.02225306e+02 2.60842762e+02 4.97564731e-01 1.43503967e+00]\n", + "Eigen vectors: [[ 0.04400313 -0.31904919 -0.77362392 0.54568981]\n", + " [ 0.17807049 0.01421057 0.56997784 0.80200637]\n", + " [-0.11343891 0.93987811 -0.25847425 0.19222854]\n", + " [-0.9764662 -0.12097442 0.09910778 0.14851464]]\n", + "This is the 7 run out of 81 run.\n", + "The code has run 9.4571 seconds.\n", + "Estimated remaining time: 99.9749 seconds\n", + "=======This is the 8 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.6031749248504639 s.\n", + "Existed information has been added.\n", + "FIM: [[ 28.80018525 5.49300764 -81.91123719 -24.24793267]\n", + " [ 5.49300764 26.52345436 -12.53402042 -139.55761761]\n", + " [ -81.91123719 -12.53402042 240.71385582 59.08679739]\n", + " [ -24.24793267 -139.55761761 59.08679739 768.1403749 ]]\n", + "Trace: 1064.1778703392624\n", + "Determinant: 147983.78531466573\n", + "Condition number: 1619.2882874718866\n", + "Minimal eigen value: 0.49498422928574204\n", + "Eigen values: [8.01522165e+02 2.60730128e+02 4.94984229e-01 1.43059273e+00]\n", + "Eigen vectors: [[ 0.04391558 -0.31898969 -0.77249369 0.54733034]\n", + " [ 0.17798693 0.01419347 0.57166177 0.80082584]\n", + " [-0.11327681 0.93992205 -0.25802797 0.19270827]\n", + " [-0.97650419 -0.12079184 0.09938759 0.14822618]]\n", + "This is the 8 run out of 81 run.\n", + "The code has run 11.0630 seconds.\n", + "Estimated remaining time: 100.9497 seconds\n", + "=======This is the 9 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.4888241291046143 s.\n", + "Existed information has been added.\n", + "FIM: [[ 28.77447266 5.4733019 -81.86441559 -24.18097488]\n", + " [ 5.4733019 26.4829594 -12.4994136 -139.4302313 ]\n", + " [ -81.86441559 -12.4994136 240.63335596 58.97428567]\n", + " [ -24.18097488 -139.4302313 58.97428567 767.74785482]]\n", + "Trace: 1063.638642847519\n", + "Determinant: 146507.48646152133\n", + "Condition number: 1624.9104501935346\n", + "Minimal eigen value: 0.49299236417422976\n", + "Eigen values: [8.01068444e+02 2.60653941e+02 4.92992364e-01 1.42326479e+00]\n", + "Eigen vectors: [[ 0.04382893 -0.31893711 -0.7717461 0.54842146]\n", + " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", + " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", + " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", + "This is the 9 run out of 81 run.\n", + "The code has run 12.5543 seconds.\n", + "Estimated remaining time: 100.4341 seconds\n", + "=======This is the 10 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1293039321899414 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.70641355 5.57815178 -88.05817863 -25.02307897]\n", + " [ 5.57815178 28.03819545 -12.93465209 -149.06593851]\n", + " [ -88.05817863 -12.93465209 260.17215396 61.87992411]\n", + " [ -25.02307897 -149.06593851 61.87992411 826.53130085]]\n", + "Trace: 1145.4480638161667\n", + "Determinant: 166581.38467009662\n", + "Condition number: 1768.1232464410234\n", + "Minimal eigen value: 0.48728421389676346\n", + "Eigen values: [8.61578546e+02 2.81975090e+02 4.87284214e-01 1.40714388e+00]\n", + "Eigen vectors: [[ 0.04232893 -0.31766896 -0.77678944 0.54211886]\n", + " [ 0.17674052 0.01415152 0.56581838 0.80524039]\n", + " [-0.11053633 0.94077102 -0.25856259 0.18941223]\n", + " [-0.97711451 -0.11762676 0.09794444 0.14770939]]\n", + "This is the 10 run out of 81 run.\n", + "The code has run 13.6861 seconds.\n", + "Estimated remaining time: 97.1714 seconds\n", + "=======This is the 11 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2495448589324951 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.12752784 6.12805011 -85.60807009 -27.7236819 ]\n", + " [ 6.12805011 29.19744073 -14.3304499 -153.65631904]\n", + " [ -85.60807009 -14.3304499 250.80871635 68.65208131]\n", + " [ -27.7236819 -153.65631904 68.65208131 841.79876875]]\n", + "Trace: 1151.9324536678646\n", + "Determinant: 164685.70018609465\n", + "Condition number: 1771.4801724742997\n", + "Minimal eigen value: 0.4964321047417337\n", + "Eigen values: [8.79419631e+02 2.70622477e+02 4.96432105e-01 1.39391410e+00]\n", + "Eigen vectors: [[ 0.04491711 -0.31961785 -0.77643054 0.54127858]\n", + " [ 0.17866548 0.01524896 0.5653439 0.8051288 ]\n", + " [-0.11677295 0.93923424 -0.26030484 0.19090448]\n", + " [-0.97592273 -0.12430185 0.09891048 0.14946769]]\n", + "This is the 11 run out of 81 run.\n", + "The code has run 14.9380 seconds.\n", + "Estimated remaining time: 95.0602 seconds\n", + "=======This is the 12 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2421467304229736 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.71542453 6.01567437 -84.16049376 -26.75276831]\n", + " [ 6.01567437 28.35248924 -13.82864007 -148.03140872]\n", + " [ -84.16049376 -13.82864007 246.13046204 65.14573844]\n", + " [ -26.75276831 -148.03140872 65.14573844 807.03178755]]\n", + "Trace: 1111.2301633637778\n", + "Determinant: 167498.06622292424\n", + "Condition number: 1630.10789521531\n", + "Minimal eigen value: 0.5173475296016143\n", + "Eigen values: [8.43332293e+02 2.65936913e+02 5.17347530e-01 1.44361061e+00]\n", + "Eigen vectors: [[ 0.04551309 -0.32004255 -0.77992286 0.53593064]\n", + " [ 0.17954663 0.01498612 0.56000596 0.80866047]\n", + " [-0.11700624 0.93903051 -0.26172257 0.18982237]\n", + " [-0.97570544 -0.12477931 0.09805588 0.15104325]]\n", + "This is the 12 run out of 81 run.\n", + "The code has run 16.1825 seconds.\n", + "Estimated remaining time: 93.0493 seconds\n", + "=======This is the 13 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.296886920928955 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.42483742 5.83589657 -83.2871783 -25.72654463]\n", + " [ 5.83589657 27.56416471 -13.29823411 -143.88420751]\n", + " [ -83.2871783 -13.29823411 243.68545756 62.30357572]\n", + " [ -25.72654463 -143.88420751 62.30357572 785.93361533]]\n", + "Trace: 1086.6080750185051\n", + "Determinant: 167875.11552651896\n", + "Condition number: 1562.4478475438566\n", + "Minimal eigen value: 0.5254321774225026\n", + "Eigen values: [8.20960375e+02 2.63646133e+02 5.25432177e-01 1.47613493e+00]\n", + "Eigen vectors: [[ 0.04524413 -0.3200065 -0.77844675 0.53811659]\n", + " [ 0.17925728 0.01462011 0.56233951 0.8071105 ]\n", + " [-0.11598236 0.93918215 -0.26104818 0.19062748]\n", + " [-0.97589338 -0.12376989 0.09822824 0.1505468 ]]\n", + "This is the 13 run out of 81 run.\n", + "The code has run 17.4831 seconds.\n", + "Estimated remaining time: 91.4502 seconds\n", + "=======This is the 14 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4413409233093262 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.23238356 5.73399164 -82.77210745 -25.18742309]\n", + " [ 5.73399164 27.15732946 -13.01959137 -141.94723866]\n", + " [ -82.77210745 -13.01959137 242.39963353 60.94109427]\n", + " [ -25.18742309 -141.94723866 60.94109427 777.05497655]]\n", + "Trace: 1075.8443231042434\n", + "Determinant: 166559.47639777444\n", + "Condition number: 1545.6906074240526\n", + "Minimal eigen value: 0.5249576134254763\n", + "Eigen values: [8.11422052e+02 2.62407189e+02 5.24957613e-01 1.49012456e+00]\n", + "Eigen vectors: [[ 0.04492884 -0.31982184 -0.77575625 0.54212326]\n", + " [ 0.17890315 0.01438423 0.56649127 0.80428503]\n", + " [-0.11516394 0.93936059 -0.2598682 0.19185273]\n", + " [-0.97606984 -0.12291775 0.09878462 0.14973475]]\n", + "This is the 14 run out of 81 run.\n", + "The code has run 18.9269 seconds.\n", + "Estimated remaining time: 90.5786 seconds\n", + "=======This is the 15 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3052539825439453 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.10620604 5.67772258 -82.46339932 -24.89648593]\n", + " [ 5.67772258 26.93219884 -12.86922226 -140.9603365 ]\n", + " [ -82.46339932 -12.86922226 241.69854807 60.24841433]\n", + " [ -24.89648593 -140.9603365 60.24841433 772.91678654]]\n", + "Trace: 1070.65373948992\n", + "Determinant: 164251.619804841\n", + "Condition number: 1551.5407215360776\n", + "Minimal eigen value: 0.5200809843403219\n", + "Eigen values: [8.06926826e+02 2.61711348e+02 5.20080984e-01 1.49548471e+00]\n", + "Eigen vectors: [[ 0.04470411 -0.31962802 -0.77317125 0.54593561]\n", + " [ 0.17863376 0.01423995 0.57042457 0.80156286]\n", + " [-0.11464267 0.93950088 -0.25874541 0.19299216]\n", + " [-0.97619085 -0.12236526 0.09936214 0.14901452]]\n", + "This is the 15 run out of 81 run.\n", + "The code has run 20.2344 seconds.\n", + "Estimated remaining time: 89.0315 seconds\n", + "=======This is the 16 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.364772081375122 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.0193988 5.63632446 -82.26751782 -24.69889258]\n", + " [ 5.63632446 26.78251299 -12.76709673 -140.36547844]\n", + " [ -82.26751782 -12.76709673 241.29019885 59.81669556]\n", + " [ -24.69889258 -140.36547844 59.81669556 770.65079868]]\n", + "Trace: 1067.7429093235437\n", + "Determinant: 161334.89807169262\n", + "Condition number: 1565.79882549867\n", + "Minimal eigen value: 0.5137499671366336\n", + "Eigen values: [8.04429095e+02 2.61306103e+02 5.13749967e-01 1.49396075e+00]\n", + "Eigen vectors: [[ 0.04451555 -0.31946758 -0.77054608 0.54974319]\n", + " [ 0.17841813 0.01415267 0.57434597 0.79880748]\n", + " [-0.11424927 0.93961231 -0.25766109 0.19413028]\n", + " [-0.97628502 -0.12193796 0.0999811 0.14833231]]\n", + "This is the 16 run out of 81 run.\n", + "The code has run 21.6016 seconds.\n", + "Estimated remaining time: 87.7565 seconds\n", + "=======This is the 17 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.6165111064910889 s.\n", + "Existed information has been added.\n", + "FIM: [[ 28.95175675 5.59364544 -82.12935116 -24.52813197]\n", + " [ 5.59364544 26.66608437 -12.67883997 -139.95473299]\n", + " [ -82.12935116 -12.67883997 241.02772555 59.49000905]\n", + " [ -24.52813197 -139.95473299 59.49000905 769.24603721]]\n", + "Trace: 1065.8916038711552\n", + "Determinant: 157986.53907653803\n", + "Condition number: 1580.7201252527295\n", + "Minimal eigen value: 0.5078992315221698\n", + "Eigen values: [8.02846537e+02 2.61053006e+02 5.07899232e-01 1.48416195e+00]\n", + "Eigen vectors: [[ 0.04431997 -0.31933472 -0.76807456 0.55328342]\n", + " [ 0.17823113 0.01411361 0.5779786 0.7962256 ]\n", + " [-0.11388728 0.93971088 -0.25668156 0.19516077]\n", + " [-0.97637037 -0.12153025 0.10058223 0.1476974 ]]\n", + "This is the 17 run out of 81 run.\n", + "The code has run 23.2205 seconds.\n", + "Estimated remaining time: 87.4185 seconds\n", + "=======This is the 18 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.408884048461914 s.\n", + "Existed information has been added.\n", + "FIM: [[ 28.89390341 5.54930753 -82.02400255 -24.37747694]\n", + " [ 5.54930753 26.57497071 -12.60097464 -139.66811378]\n", + " [ -82.02400255 -12.60097464 240.84660087 59.23685769]\n", + " [ -24.37747694 -139.66811378 59.23685769 768.362867 ]]\n", + "Trace: 1064.6783419866704\n", + "Determinant: 154556.86878195836\n", + "Condition number: 1592.9075104447347\n", + "Minimal eigen value: 0.5033721886008624\n", + "Eigen values: [8.01825340e+02 2.60881801e+02 5.03372189e-01 1.46782923e+00]\n", + "Eigen vectors: [[ 0.0441257 -0.3192171 -0.76637353 0.55572023]\n", + " [ 0.17807683 0.01411373 0.58045733 0.79445499]\n", + " [-0.11356021 0.93979995 -0.25600742 0.19580686]\n", + " [-0.97644541 -0.12114987 0.10100051 0.14722759]]\n", + "This is the 18 run out of 81 run.\n", + "The code has run 24.6323 seconds.\n", + "Estimated remaining time: 86.2129 seconds\n", + "=======This is the 19 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.097017765045166 s.\n", + "Existed information has been added.\n", + "FIM: [[ 32.28334671 5.70699409 -92.97484844 -25.80031677]\n", + " [ 5.70699409 29.30507497 -13.33636445 -156.70839321]\n", + " [ -92.97484844 -13.33636445 275.50168257 64.30324325]\n", + " [ -25.80031677 -156.70839321 64.30324325 872.63443311]]\n", + "Trace: 1209.7245373595783\n", + "Determinant: 188680.91170914198\n", + "Condition number: 1858.616320831994\n", + "Minimal eigen value: 0.48913747009914166\n", + "Eigen values: [9.09118885e+02 2.98695996e+02 4.89137470e-01 1.42051869e+00]\n", + "Eigen vectors: [[ 0.04146304 -0.31695699 -0.77712411 0.54212287]\n", + " [ 0.17602088 0.01408456 0.56560106 0.80555181]\n", + " [-0.10898703 0.94123169 -0.25813549 0.18860223]\n", + " [-0.97745552 -0.1158568 0.09767104 0.14703155]]\n", + "This is the 19 run out of 81 run.\n", + "The code has run 25.7321 seconds.\n", + "Estimated remaining time: 83.9677 seconds\n", + "=======This is the 20 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2372121810913086 s.\n", + "Existed information has been added.\n", + "FIM: [[ 31.25421656 6.68459112 -88.61909992 -30.60138864]\n", + " [ 6.68459112 31.36595547 -15.81778278 -164.86906971]\n", + " [ -88.61909992 -15.81778278 258.85557126 76.34263383]\n", + " [ -30.60138864 -164.86906971 76.34263383 899.77659826]]\n", + "Trace: 1221.2523415411317\n", + "Determinant: 184979.52586245077\n", + "Condition number: 1863.3156848542435\n", + "Minimal eigen value: 0.5049297243111703\n", + "Eigen values: [9.40843475e+02 2.78505828e+02 5.04929724e-01 1.39810909e+00]\n", + "Eigen vectors: [[ 0.04575816 -0.32029107 -0.77638665 0.54087299]\n", + " [ 0.17924367 0.01591336 0.56497666 0.80524521]\n", + " [-0.11929887 0.93864685 -0.26107427 0.19118079]\n", + " [-0.97547203 -0.12689556 0.09932456 0.14995489]]\n", + "This is the 20 run out of 81 run.\n", + "The code has run 26.9726 seconds.\n", + "Estimated remaining time: 82.2663 seconds\n", + "=======This is the 21 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3380639553070068 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.52158843 6.48481199 -86.0456274 -28.87532344]\n", + " [ 6.48481199 29.86381946 -14.92566842 -154.8692371 ]\n", + " [ -86.0456274 -14.92566842 250.53865847 70.10910741]\n", + " [ -28.87532344 -154.8692371 70.10910741 837.96870419]]\n", + "Trace: 1148.8927705492695\n", + "Determinant: 190348.6673254422\n", + "Condition number: 1618.3103657413333\n", + "Minimal eigen value: 0.5417343666379524\n", + "Eigen values: [8.76694341e+02 2.70173245e+02 5.41734367e-01 1.48344999e+00]\n", + "Eigen vectors: [[ 0.04685373 -0.32103947 -0.78212185 0.53199981]\n", + " [ 0.18079203 0.01551727 0.55613272 0.81104245]\n", + " [-0.11992293 0.93825512 -0.26345825 0.18943485]\n", + " [-0.97505767 -0.12794607 0.09793648 0.15264595]]\n", + "This is the 21 run out of 81 run.\n", + "The code has run 28.3136 seconds.\n", + "Estimated remaining time: 80.8961 seconds\n", + "=======This is the 22 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4026212692260742 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.00498916 6.16520704 -84.49307008 -27.0509224 ]\n", + " [ 6.16520704 28.46235364 -13.98273248 -147.49642699]\n", + " [ -84.49307008 -13.98273248 246.19200008 65.05640169]\n", + " [ -27.0509224 -147.49642699 65.05640169 800.46076995]]\n", + "Trace: 1105.1201128212274\n", + "Determinant: 191117.7507506111\n", + "Condition number: 1503.7114051925557\n", + "Minimal eigen value: 0.5565662145256329\n", + "Eigen values: [8.36914965e+02 2.66106715e+02 5.56566215e-01 1.54186738e+00]\n", + "Eigen vectors: [[ 0.04646642 -0.32098546 -0.77977639 0.53549788]\n", + " [ 0.18034719 0.01490153 0.55988332 0.8085688 ]\n", + " [-0.11833093 0.93849369 -0.26236422 0.19076794]\n", + " [-0.97535304 -0.1263957 0.09820625 0.1518753 ]]\n", + "This is the 22 run out of 81 run.\n", + "The code has run 29.7194 seconds.\n", + "Estimated remaining time: 79.7020 seconds\n", + "=======This is the 23 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.576902151107788 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.66284896 5.98404272 -83.57738856 -26.09248409]\n", + " [ 5.98404272 27.73909098 -13.48736761 -144.05292682]\n", + " [ -83.57738856 -13.48736761 243.90609069 62.63421243]\n", + " [ -26.09248409 -144.05292682 62.63421243 784.67652325]]\n", + "Trace: 1085.9845538731117\n", + "Determinant: 188639.4615552581\n", + "Condition number: 1474.5971888051029\n", + "Minimal eigen value: 0.5560520631753989\n", + "Eigen values: [8.19952809e+02 2.63907946e+02 5.56052063e-01 1.56774623e+00]\n", + "Eigen vectors: [[ 0.04594253 -0.320668 -0.77534136 0.54213199]\n", + " [ 0.17974722 0.01448798 0.56676229 0.80390394]\n", + " [-0.11695823 0.93879944 -0.26038706 0.19280809]\n", + " [-0.97565414 -0.12497097 0.09912039 0.15052047]]\n", + "This is the 23 run out of 81 run.\n", + "The code has run 31.2990 seconds.\n", + "Estimated remaining time: 78.9279 seconds\n", + "=======This is the 24 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.7767479419708252 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.43853337 5.88400885 -83.02857374 -25.57526247]\n", + " [ 5.88400885 27.33885875 -13.22004406 -142.29843404]\n", + " [ -83.02857374 -13.22004406 242.65971528 61.40277918]\n", + " [ -25.57526247 -142.29843404 61.40277918 777.31974084]]\n", + "Trace: 1076.7568482418158\n", + "Determinant: 184270.03331003775\n", + "Condition number: 1482.9771752629497\n", + "Minimal eigen value: 0.5475192742598249\n", + "Eigen values: [8.11958587e+02 2.62672744e+02 5.47519274e-01 1.57799787e+00]\n", + "Eigen vectors: [[ 0.04555702 -0.32032998 -0.77104717 0.54845193]\n", + " [ 0.17927984 0.01423111 0.57328314 0.79937641]\n", + " [-0.11606112 0.93904462 -0.25849401 0.19469431]\n", + " [-0.97586532 -0.12402173 0.1000677 0.1493049 ]]\n", + "This is the 24 run out of 81 run.\n", + "The code has run 33.0784 seconds.\n", + "Estimated remaining time: 78.5613 seconds\n", + "=======This is the 25 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.5411691665649414 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.28420938 5.81041218 -82.68034035 -25.22398541]\n", + " [ 5.81041218 27.0727506 -13.03848831 -141.24090865]\n", + " [ -82.68034035 -13.03848831 241.93376245 60.63528154]\n", + " [ -25.22398541 -141.24090865 60.63528154 773.29131813]]\n", + "Trace: 1071.5820405595707\n", + "Determinant: 178758.17326418444\n", + "Condition number: 1505.8326274881686\n", + "Minimal eigen value: 0.5362591366706398\n", + "Eigen values: [8.07516505e+02 2.61953424e+02 5.36259137e-01 1.57585305e+00]\n", + "Eigen vectors: [[ 0.0452283 -0.32004858 -0.76665675 0.55476188]\n", + " [ 0.17890164 0.01407456 0.57977992 0.79476497]\n", + " [-0.11537487 0.93924098 -0.25666067 0.19657139]\n", + " [-0.97603137 -0.12327688 0.10108403 0.14814718]]\n", + "This is the 25 run out of 81 run.\n", + "The code has run 34.6223 seconds.\n", + "Estimated remaining time: 77.5539 seconds\n", + "=======This is the 26 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5202617645263672 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.16395684 5.73453838 -82.43471072 -24.92041098]\n", + " [ 5.73453838 26.86576638 -12.88158736 -140.5106945 ]\n", + " [ -82.43471072 -12.88158736 241.46714317 60.05450537]\n", + " [ -24.92041098 -140.5106945 60.05450537 770.79396436]]\n", + "Trace: 1068.2908307463383\n", + "Determinant: 172475.9415463406\n", + "Condition number: 1530.546651700559\n", + "Minimal eigen value: 0.5257610786968038\n", + "Eigen values: [8.04701859e+02 2.61504282e+02 5.25761079e-01 1.55892881e+00]\n", + "Eigen vectors: [[ 0.04488407 -0.31981491 -0.76243559 0.56071009]\n", + " [ 0.1785717 0.01400365 0.5858805 0.79035441]\n", + " [-0.11473807 0.93941548 -0.25497866 0.19829175]\n", + " [-0.97618274 -0.1225597 0.10208767 0.14705266]]\n", + "This is the 26 run out of 81 run.\n", + "The code has run 36.1452 seconds.\n", + "Estimated remaining time: 76.4609 seconds\n", + "=======This is the 27 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.516874074935913 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.06110646 5.65571543 -82.24742429 -24.65257981]\n", + " [ 5.65571543 26.70378654 -12.74316009 -140.00114925]\n", + " [ -82.24742429 -12.74316009 241.14514372 59.60445848]\n", + " [ -24.65257981 -140.00114925 59.60445848 769.22388402]]\n", + "Trace: 1066.1339207407643\n", + "Determinant: 166109.9551245936\n", + "Condition number: 1551.1500791407132\n", + "Minimal eigen value: 0.5176066466705693\n", + "Eigen values: [8.02885591e+02 2.61200453e+02 5.17606647e-01 1.53027057e+00]\n", + "Eigen vectors: [[ 0.04454043 -0.31960751 -0.75938699 0.56497663]\n", + " [ 0.1782985 0.01400273 0.59021965 0.78718126]\n", + " [-0.11415988 0.93957357 -0.25377291 0.19942001]\n", + " [-0.9763162 -0.12188714 0.10281766 0.1462147 ]]\n", + "This is the 27 run out of 81 run.\n", + "The code has run 37.6646 seconds.\n", + "Estimated remaining time: 75.3293 seconds\n", + "=======This is the 28 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3081550598144531 s.\n", + "Existed information has been added.\n", + "FIM: [[ 34.31083221 5.87264848 -99.29628105 -26.7996225 ]\n", + " [ 5.87264848 30.93392006 -13.85285176 -166.5344064 ]\n", + " [ -99.29628105 -13.85285176 295.21107649 67.41893929]\n", + " [ -26.7996225 -166.5344064 67.41893929 931.90988887]]\n", + "Trace: 1292.3657176279999\n", + "Determinant: 219116.55598781718\n", + "Condition number: 1975.135565776819\n", + "Minimal eigen value: 0.4912314715447589\n", + "Eigen values: [9.70248750e+02 3.20189921e+02 4.91231472e-01 1.43581425e+00]\n", + "Eigen vectors: [[ 0.040473 -0.31614659 -0.77750088 0.54213066]\n", + " [ 0.17519902 0.01401412 0.56535675 0.80590362]\n", + " [-0.10721007 0.94175271 -0.25765221 0.18767837]\n", + " [-0.97784111 -0.11382781 0.09736251 0.14625502]]\n", + "This is the 28 run out of 81 run.\n", + "The code has run 38.9754 seconds.\n", + "Estimated remaining time: 73.7749 seconds\n", + "=======This is the 29 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4370899200439453 s.\n", + "Existed information has been added.\n", + "FIM: [[ 32.70281635 7.40014384 -92.49042399 -34.3012973 ]\n", + " [ 7.40014384 34.15404584 -17.73006791 -179.28546343]\n", + " [ -92.49042399 -17.73006791 269.20152757 86.23048708]\n", + " [ -34.3012973 -179.28546343 86.23048708 974.3195219 ]]\n", + "Trace: 1310.3779116577584\n", + "Determinant: 212667.62255371246\n", + "Condition number: 1980.140754134136\n", + "Minimal eigen value: 0.5150288667373343\n", + "Eigen values: [1.01982965e+03 2.88630420e+02 5.15028867e-01 1.40281393e+00]\n", + "Eigen vectors: [[ 0.04665874 -0.32111655 -0.77619183 0.54058613]\n", + " [ 0.17988432 0.01666262 0.56474405 0.80525036]\n", + " [-0.12200129 0.93797321 -0.26196245 0.19156621]\n", + " [-0.97497707 -0.12966406 0.09983027 0.15046883]]\n", + "This is the 29 run out of 81 run.\n", + "The code has run 40.4156 seconds.\n", + "Estimated remaining time: 72.4693 seconds\n", + "=======This is the 30 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3620731830596924 s.\n", + "Existed information has been added.\n", + "FIM: [[ 31.55808488 7.08798895 -88.46937314 -31.60432037]\n", + " [ 7.08798895 31.80695831 -16.33613916 -163.66072489]\n", + " [ -88.46937314 -16.33613916 256.20635122 76.49060178]\n", + " [ -31.60432037 -163.66072489 76.49060178 877.74468706]]\n", + "Trace: 1197.3160814605867\n", + "Determinant: 221799.0883115981\n", + "Condition number: 1608.3235339216812\n", + "Minimal eigen value: 0.5717813344410629\n", + "Eigen values: [9.19609376e+02 2.75604399e+02 5.71781334e-01 1.53052436e+00]\n", + "Eigen vectors: [[ 0.04840947 -0.32227626 -0.78433046 0.52784492]\n", + " [ 0.18225901 0.01616051 0.55206779 0.81347504]\n", + " [-0.12327976 0.93731565 -0.26545069 0.18914917]\n", + " [-0.97428963 -0.13159113 0.09789184 0.15446904]]\n", + "This is the 30 run out of 81 run.\n", + "The code has run 41.7801 seconds.\n", + "Estimated remaining time: 71.0261 seconds\n", + "=======This is the 31 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3121821880340576 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.75089853 6.58860624 -86.04350238 -28.75369385]\n", + " [ 6.58860624 29.61716799 -14.86280184 -152.14070917]\n", + " [ -86.04350238 -14.86280184 249.41469763 68.59574941]\n", + " [ -28.75369385 -152.14070917 68.59574941 819.13854015]]\n", + "Trace: 1128.9213042948234\n", + "Determinant: 223199.08519825267\n", + "Condition number: 1439.2001464010648\n", + "Minimal eigen value: 0.5957771989533247\n", + "Eigen values: [8.57442632e+02 2.69260221e+02 5.95777199e-01 1.62267394e+00]\n", + "Eigen vectors: [[ 0.04796256 -0.32221079 -0.78113541 0.53264179]\n", + " [ 0.18168784 0.0152626 0.55724216 0.81008503]\n", + " [-0.12118885 0.93763158 -0.26392306 0.19106254]\n", + " [-0.97468066 -0.12959272 0.09825105 0.15346033]]\n", + "This is the 31 run out of 81 run.\n", + "The code has run 43.0949 seconds.\n", + "Estimated remaining time: 69.5079 seconds\n", + "=======This is the 32 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.492966890335083 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.21630446 6.30553697 -84.61274999 -27.25613395]\n", + " [ 6.30553697 28.48707009 -14.0887942 -146.76024017]\n", + " [ -84.61274999 -14.0887942 245.84296418 64.81107863]\n", + " [ -27.25613395 -146.76024017 64.81107863 794.47565471]]\n", + "Trace: 1099.0219934376676\n", + "Determinant: 219046.7635612996\n", + "Condition number: 1395.1046514756501\n", + "Minimal eigen value: 0.5956039117841725\n", + "Eigen values: [8.30929788e+02 2.65831624e+02 5.95603912e-01 1.66497734e+00]\n", + "Eigen vectors: [[ 0.0472128 -0.32173526 -0.77481095 0.54214884]\n", + " [ 0.18080651 0.01462813 0.56710945 0.80341888]\n", + " [-0.11919796 0.93808696 -0.26104596 0.19400955]\n", + " [-0.97512656 -0.12753546 0.09954834 0.15150258]]\n", + "This is the 32 run out of 81 run.\n", + "The code has run 44.5909 seconds.\n", + "Estimated remaining time: 68.2798 seconds\n", + "=======This is the 33 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.3578858375549316 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.86581136 6.14923404 -83.75522684 -26.44797517]\n", + " [ 6.14923404 27.86170723 -13.67110116 -144.0188452 ]\n", + " [ -83.75522684 -13.67110116 243.8955026 62.88696419]\n", + " [ -26.44797517 -144.0188452 62.88696419 782.9806822 ]]\n", + "Trace: 1084.6037033913724\n", + "Determinant: 211683.9981405787\n", + "Condition number: 1404.9139458158472\n", + "Minimal eigen value: 0.582550713260004\n", + "Eigen values: [8.18433621e+02 2.63905156e+02 5.82550713e-01 1.68237557e+00]\n", + "Eigen vectors: [[ 0.04663765 -0.32121979 -0.76862987 0.55122672]\n", + " [ 0.18009867 0.01422632 0.57647713 0.79689159]\n", + " [-0.11785344 0.93846161 -0.25826985 0.19671566]\n", + " [-0.9754486 -0.12611605 0.10089067 0.14971924]]\n", + "This is the 33 run out of 81 run.\n", + "The code has run 45.9514 seconds.\n", + "Estimated remaining time: 66.8383 seconds\n", + "=======This is the 34 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3989310264587402 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.62468012 6.03423925 -83.21111217 -25.89910476]\n", + " [ 6.03423925 27.44591324 -13.38742029 -142.36646178]\n", + " [ -83.21111217 -13.38742029 242.7612013 61.68774912]\n", + " [ -25.89910476 -142.36646178 61.68774912 776.68627174]]\n", + "Trace: 1076.5180664020631\n", + "Determinant: 202415.6569987658\n", + "Condition number: 1436.3383702542444\n", + "Minimal eigen value: 0.5649710487513734\n", + "Eigen values: [8.11489595e+02 2.62783393e+02 5.64971049e-01 1.68010737e+00]\n", + "Eigen vectors: [[ 0.04613685 -0.32078757 -0.76226121 0.56028973]\n", + " [ 0.17951788 0.01397906 0.58580552 0.79019606]\n", + " [-0.11680698 0.93876493 -0.25557325 0.19939622]\n", + " [-0.97570531 -0.12498131 0.10233312 0.1480093 ]]\n", + "This is the 34 run out of 81 run.\n", + "The code has run 47.3528 seconds.\n", + "Estimated remaining time: 65.4583 seconds\n", + "=======This is the 35 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5705158710479736 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.43678553 5.91568643 -82.82731586 -25.4247697 ]\n", + " [ 5.91568643 27.12250039 -13.14226256 -141.22550217]\n", + " [ -82.82731586 -13.14226256 242.03210867 60.78028635]\n", + " [ -25.4247697 -141.22550217 60.78028635 772.78415647]]\n", + "Trace: 1071.375551053092\n", + "Determinant: 191937.53934280388\n", + "Condition number: 1471.700117663225\n", + "Minimal eigen value: 0.5484060967518005\n", + "Eigen values: [8.07089317e+02 2.62083213e+02 5.48406097e-01 1.65461457e+00]\n", + "Eigen vectors: [[ 0.04560588 -0.32042744 -0.75599497 0.56896218]\n", + " [ 0.17900731 0.01386541 0.59469481 0.78364674]\n", + " [-0.11582536 0.93903609 -0.25305826 0.20188421]\n", + " [-0.97594107 -0.12387588 0.10378441 0.14636459]]\n", + "This is the 35 run out of 81 run.\n", + "The code has run 48.9277 seconds.\n", + "Estimated remaining time: 64.3050 seconds\n", + "=======This is the 36 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4231340885162354 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.27608182 5.79252557 -82.53468084 -25.00628352]\n", + " [ 5.79252557 26.86940689 -12.92596997 -140.42933771]\n", + " [ -82.53468084 -12.92596997 241.52898456 60.07708813]\n", + " [ -25.00628352 -140.42933771 60.07708813 770.33090596]]\n", + "Trace: 1068.0053792314388\n", + "Determinant: 181450.69474203617\n", + "Condition number: 1501.9556383407423\n", + "Minimal eigen value: 0.5354684063529392\n", + "Eigen values: [8.04249792e+02 2.61609546e+02 5.35468406e-01 1.61057235e+00]\n", + "Eigen vectors: [[ 0.04507237 -0.32010675 -0.75122833 0.57546168]\n", + " [ 0.17858271 0.01386172 0.60130267 0.77868554]\n", + " [-0.11492843 0.93928256 -0.25117499 0.20359482]\n", + " [-0.97614966 -0.12283237 0.10489146 0.14505804]]\n", + "This is the 36 run out of 81 run.\n", + "The code has run 50.3533 seconds.\n", + "Estimated remaining time: 62.9417 seconds\n", + "=======This is the 37 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1025316715240479 s.\n", + "Existed information has been added.\n", + "FIM: [[ 36.78887004 6.07511496 -107.02247647 -28.02099618]\n", + " [ 6.07511496 32.92473073 -14.48411404 -178.54397808]\n", + " [-107.02247647 -14.48411404 319.30033573 71.22701223]\n", + " [ -28.02099618 -178.54397808 71.22701223 1004.35766813]]\n", + "Trace: 1393.3716046215663\n", + "Determinant: 259404.79249873152\n", + "Condition number: 2117.757640376852\n", + "Minimal eigen value: 0.49343292348975076\n", + "Eigen values: [1.04497134e+03 3.46454720e+02 4.93432923e-01 1.45210830e+00]\n", + "Eigen vectors: [[ 0.0394186 -0.31528763 -0.77789543 0.54214258]\n", + " [ 0.17432484 0.0139462 0.56510132 0.80627343]\n", + " [-0.10531109 0.94230095 -0.25714335 0.18669704]\n", + " [-0.9782467 -0.11166076 0.09703861 0.14542622]]\n", + "This is the 37 run out of 81 run.\n", + "The code has run 51.4583 seconds.\n", + "Estimated remaining time: 61.1937 seconds\n", + "=======This is the 38 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2567338943481445 s.\n", + "Existed information has been added.\n", + "FIM: [[ 34.47332719 8.27470828 -97.22204231 -38.8234079 ]\n", + " [ 8.27470828 37.56171186 -20.06730529 -196.9055002 ]\n", + " [ -97.22204231 -20.06730529 281.84658528 98.31564105]\n", + " [ -38.8234079 -196.9055002 98.31564105 1065.42753969]]\n", + "Trace: 1419.3091640169005\n", + "Determinant: 248947.0165905633\n", + "Condition number: 2121.25846562084\n", + "Minimal eigen value: 0.5262832514343758\n", + "Eigen values: [1.11638280e+03 3.00992350e+02 5.26283251e-01 1.40772810e+00]\n", + "Eigen vectors: [[ 0.04755314 -0.32206577 -0.77580529 0.54049837]\n", + " [ 0.18054388 0.0174534 0.56472719 0.80509781]\n", + " [-0.1246826 0.9372505 -0.26292016 0.19206442]\n", + " [-0.9744726 -0.13240286 0.10041086 0.15096452]]\n", + "This is the 38 run out of 81 run.\n", + "The code has run 52.7182 seconds.\n", + "Estimated remaining time: 59.6549 seconds\n", + "=======This is the 39 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2754926681518555 s.\n", + "Existed information has been added.\n", + "FIM: [[ 32.82491387 7.82520522 -91.43172903 -34.93976104]\n", + " [ 7.82520522 34.18190578 -18.06004783 -174.4058766 ]\n", + " [ -91.43172903 -18.06004783 263.13353122 84.29020596]\n", + " [ -34.93976104 -174.4058766 84.29020596 926.35977707]]\n", + "Trace: 1256.5001279448131\n", + "Determinant: 263402.56815271225\n", + "Condition number: 1602.2755769906482\n", + "Minimal eigen value: 0.6066922513316659\n", + "Eigen values: [9.72088177e+02 2.82222721e+02 6.06692251e-01 1.58253717e+00]\n", + "Eigen vectors: [[ 0.05009398 -0.32372401 -0.78629932 0.52385755]\n", + " [ 0.18387427 0.01689333 0.54820737 0.81570432]\n", + " [-0.12688016 0.93624622 -0.26759042 0.18904978]\n", + " [-0.97343838 -0.13550056 0.09796643 0.15639663]]\n", + "This is the 39 run out of 81 run.\n", + "The code has run 53.9963 seconds.\n", + "Estimated remaining time: 58.1499 seconds\n", + "=======This is the 40 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2968039512634277 s.\n", + "Existed information has been added.\n", + "FIM: [[ 31.66256554 7.10609412 -87.93847517 -30.83485889]\n", + " [ 7.10609412 31.02860775 -15.93844213 -157.81705407]\n", + " [ -87.93847517 -15.93844213 253.35355014 72.92161876]\n", + " [ -30.83485889 -157.81705407 72.92161876 841.966926 ]]\n", + "Trace: 1158.0116494264157\n", + "Determinant: 265767.57867752825\n", + "Condition number: 1373.6079632065182\n", + "Minimal eigen value: 0.6425068540890994\n", + "Eigen values: [8.82552531e+02 2.73100438e+02 6.42506854e-01 1.71617383e+00]\n", + "Eigen vectors: [[ 0.04968492 -0.32366053 -0.78237349 0.52978014]\n", + " [ 0.18324022 0.01570183 0.55464809 0.81150599]\n", + " [-0.12445593 0.9366119 -0.26566125 0.19155411]\n", + " [-0.97389176 -0.13324966 0.09839367 0.1552355 ]]\n", + "This is the 40 run out of 81 run.\n", + "The code has run 55.2960 seconds.\n", + "Estimated remaining time: 56.6784 seconds\n", + "=======This is the 41 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.459547996520996 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.89275008 6.69847439 -85.87819175 -28.67837266]\n", + " [ 6.69847439 29.40126677 -14.82387115 -150.06917871]\n", + " [ -85.87819175 -14.82387115 248.210254 67.4716929 ]\n", + " [ -28.67837266 -150.06917871 67.4716929 806.45237096]]\n", + "Trace: 1114.9566418120737\n", + "Determinant: 259295.44468122924\n", + "Condition number: 1312.5340626707155\n", + "Minimal eigen value: 0.6433044742163505\n", + "Eigen values: [8.44359035e+02 2.68174245e+02 6.43304474e-01 1.78005776e+00]\n", + "Eigen vectors: [[ 0.04871693 -0.32300943 -0.77416724 0.5421777 ]\n", + " [ 0.18206305 0.0148089 0.56753176 0.80283338]\n", + " [-0.12183745 0.93722982 -0.26183895 0.19543866]\n", + " [-0.97449235 -0.13055984 0.10006575 0.15266182]]\n", + "This is the 41 run out of 81 run.\n", + "The code has run 56.7581 seconds.\n", + "Estimated remaining time: 55.3737 seconds\n", + "=======This is the 42 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3764898777008057 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.38804002 6.47339817 -84.6433584 -27.51462402]\n", + " [ 6.47339817 28.50074425 -14.22239317 -146.12156994]\n", + " [ -84.6433584 -14.22239317 245.40590932 64.70096808]\n", + " [ -27.51462402 -146.12156994 64.70096808 789.89961054]]\n", + "Trace: 1094.1943041272043\n", + "Determinant: 247750.52298677372\n", + "Condition number: 1322.1585481935238\n", + "Minimal eigen value: 0.6250051674349029\n", + "Eigen values: [8.26355925e+02 2.65405979e+02 6.25005167e-01 1.80739520e+00]\n", + "Eigen vectors: [[ 0.04793455 -0.32228847 -0.76606069 0.55406086]\n", + " [ 0.18108178 0.01423008 0.57979722 0.79425567]\n", + " [-0.11999735 0.93775464 -0.2581166 0.19897912]\n", + " [-0.97494221 -0.12862302 0.10179398 0.15027242]]\n", + "This is the 42 run out of 81 run.\n", + "The code has run 58.1371 seconds.\n", + "Estimated remaining time: 53.9845 seconds\n", + "=======This is the 43 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4225409030914307 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.04081103 6.30780567 -83.85983328 -26.72425063]\n", + " [ 6.30780567 27.90200091 -13.81389272 -143.74213782]\n", + " [ -83.85983328 -13.81389272 243.77251546 62.97409839]\n", + " [ -26.72425063 -143.74213782 62.97409839 780.83565947]]\n", + "Trace: 1082.5509868629858\n", + "Determinant: 233249.44652323253\n", + "Condition number: 1361.1345665049146\n", + "Minimal eigen value: 0.5997577130991854\n", + "Eigen values: [8.16350955e+02 2.63794338e+02 5.99757713e-01 1.80593621e+00]\n", + "Eigen vectors: [[ 0.04723544 -0.32167879 -0.7576378 0.5659298 ]\n", + " [ 0.18026288 0.01386971 0.5920096 0.78539006]\n", + " [-0.11853461 0.93818523 -0.25448998 0.20246697]\n", + " [-0.97530695 -0.12703884 0.10365545 0.14796293]]\n", + "This is the 43 run out of 81 run.\n", + "The code has run 59.5624 seconds.\n", + "Estimated remaining time: 52.6365 seconds\n", + "=======This is the 44 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5541539192199707 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.77024282 6.13708961 -83.3071666 -26.04120816]\n", + " [ 6.13708961 27.4362864 -13.46086559 -142.09915598]\n", + " [ -83.3071666 -13.46086559 242.72262207 61.667352 ]\n", + " [ -26.04120816 -142.09915598 61.667352 775.21661348]]\n", + "Trace: 1075.1457647738398\n", + "Determinant: 216995.60713203996\n", + "Condition number: 1407.0534066169535\n", + "Minimal eigen value: 0.5756785168357853\n", + "Eigen values: [8.10010418e+02 2.62788852e+02 5.75678517e-01 1.77081575e+00]\n", + "Eigen vectors: [[ 0.04648282 -0.32116876 -0.74915178 0.57746133]\n", + " [ 0.17953631 0.01370117 0.60382111 0.77651727]\n", + " [-0.11714427 0.93857304 -0.25105296 0.20574324]\n", + " [-0.97564506 -0.12547332 0.10556558 0.145702 ]]\n", + "This is the 44 run out of 81 run.\n", + "The code has run 61.1190 seconds.\n", + "Estimated remaining time: 51.3955 seconds\n", + "=======This is the 45 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4800629615783691 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.53882947 5.95973797 -82.88577216 -25.43858804]\n", + " [ 5.95973797 27.07183176 -13.14940425 -140.95267917]\n", + " [ -82.88577216 -13.14940425 241.99812336 60.65474656]\n", + " [ -25.43858804 -140.95267917 60.65474656 771.68393275]]\n", + "Trace: 1070.2927173390817\n", + "Determinant: 200944.16798299024\n", + "Condition number: 1447.57068462181\n", + "Minimal eigen value: 0.5567387556544536\n", + "Eigen values: [8.05918702e+02 2.62108634e+02 5.56738756e-01 1.70864323e+00]\n", + "Eigen vectors: [[ 0.04572056 -0.32071284 -0.7423529 0.58648536]\n", + " [ 0.17892883 0.01369196 0.61299069 0.76944098]\n", + " [-0.11586404 0.93892699 -0.24836575 0.20810115]\n", + " [-0.9759455 -0.12398352 0.10709366 0.14383813]]\n", + "This is the 45 run out of 81 run.\n", + "The code has run 62.6016 seconds.\n", + "Estimated remaining time: 50.0813 seconds\n", + "=======This is the 46 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1048040390014648 s.\n", + "Existed information has been added.\n", + "FIM: [[ 39.7174602 6.31439353 -116.15343469 -29.4644378 ]\n", + " [ 6.31439353 35.27750697 -15.23015127 -192.73710824]\n", + " [-116.15343469 -15.23015127 347.76946028 75.72746206]\n", + " [ -29.4644378 -192.73710824 75.72746206 1089.97777089]]\n", + "Trace: 1512.7421983402073\n", + "Determinant: 311399.09067781235\n", + "Condition number: 2286.542819651653\n", + "Minimal eigen value: 0.4956344365813532\n", + "Eigen values: [1.13328936e+03 3.77488576e+02 4.95634437e-01 1.46862610e+00]\n", + "Eigen vectors: [[ 0.03835004 -0.31442127 -0.77828842 0.54215835]\n", + " [ 0.17344009 0.01388478 0.56484731 0.80664321]\n", + " [-0.10337977 0.94284961 -0.25663367 0.18570512]\n", + " [-0.97865236 -0.10945814 0.09671514 0.14458445]]\n", + "This is the 46 run out of 81 run.\n", + "The code has run 63.7089 seconds.\n", + "Estimated remaining time: 48.4742 seconds\n", + "=======This is the 47 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2559828758239746 s.\n", + "Existed information has been added.\n", + "FIM: [[ 36.5657491 9.30828444 -102.81395486 -44.16772042]\n", + " [ 9.30828444 41.58895351 -22.82949492 -217.72918002]\n", + " [-102.81395486 -22.82949492 296.7907444 112.59809575]\n", + " [ -44.16772042 -217.72918002 112.59809575 1173.10065161]]\n", + "Trace: 1548.0460986209075\n", + "Determinant: 295280.74015585403\n", + "Condition number: 2286.0181487108425\n", + "Minimal eigen value: 0.5382748263648286\n", + "Eigen values: [1.23050602e+03 3.15589182e+02 5.38274826e-01 1.41261951e+00]\n", + "Eigen vectors: [[ 0.04839818 -0.32310756 -0.77521185 0.54065303]\n", + " [ 0.18118963 0.01825265 0.56496884 0.80476541]\n", + " [-0.12721352 0.93650897 -0.26390515 0.19267003]\n", + " [-0.97398391 -0.13497885 0.10104885 0.15141065]]\n", + "This is the 47 run out of 81 run.\n", + "The code has run 64.9675 seconds.\n", + "Estimated remaining time: 46.9978 seconds\n", + "=======This is the 48 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2635772228240967 s.\n", + "Existed information has been added.\n", + "FIM: [[ 34.3220754 8.6964608 -94.93269507 -38.88164545]\n", + " [ 8.6964608 36.98866185 -20.09739441 -187.10469208]\n", + " [ -94.93269507 -20.09739441 271.32019844 93.50791985]\n", + " [ -38.88164545 -187.10469208 93.50791985 983.8139735 ]]\n", + "Trace: 1326.444909189725\n", + "Determinant: 317057.5521865532\n", + "Condition number: 1601.7324036106527\n", + "Minimal eigen value: 0.6456385390230688\n", + "Eigen values: [1.03414017e+03 2.90021762e+02 6.45638539e-01 1.63733921e+00]\n", + "Eigen vectors: [[ 0.05183111 -0.32535143 -0.78785307 0.52033406]\n", + " [ 0.18556983 0.01769387 0.5448494 0.81755116]\n", + " [-0.13055514 0.93508071 -0.26978738 0.18919354]\n", + " [-0.97253932 -0.13948996 0.09819083 0.15832998]]\n", + "This is the 48 run out of 81 run.\n", + "The code has run 66.2336 seconds.\n", + "Estimated remaining time: 45.5356 seconds\n", + "=======This is the 49 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.2962591648101807 s.\n", + "Existed information has been added.\n", + "FIM: [[ 32.73999019 7.71767073 -90.17798848 -33.29441763]\n", + " [ 7.71767073 32.69667292 -17.20965341 -164.52546167]\n", + " [ -90.17798848 -17.20965341 258.00855769 78.03400986]\n", + " [ -33.29441763 -164.52546167 78.03400986 868.9459274 ]]\n", + "Trace: 1192.3911481973423\n", + "Determinant: 320838.015192606\n", + "Condition number: 1310.4792317939582\n", + "Minimal eigen value: 0.6961225904499246\n", + "Eigen values: [9.12254198e+02 2.77620993e+02 6.96122590e-01 1.81983460e+00]\n", + "Eigen vectors: [[ 0.05158354 -0.32531066 -0.78337796 0.52709685]\n", + " [ 0.18496272 0.01621672 0.55228293 0.81271728]\n", + " [-0.12802873 0.93545287 -0.26752463 0.1922684 ]\n", + " [-0.97300389 -0.13725128 0.09865653 0.15713815]]\n", + "This is the 49 run out of 81 run.\n", + "The code has run 67.5323 seconds.\n", + "Estimated remaining time: 44.1027 seconds\n", + "=======This is the 50 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.453747034072876 s.\n", + "Existed information has been added.\n", + "FIM: [[ 31.69218581 7.16285497 -87.37371372 -30.35920012]\n", + " [ 7.16285497 30.48168103 -15.69259823 -153.97974222]\n", + " [ -87.37371372 -15.69259823 251.00795977 70.61605418]\n", + " [ -30.35920012 -153.97974222 70.61605418 820.60667033]]\n", + "Trace: 1133.7884969451964\n", + "Determinant: 311236.03090905806\n", + "Condition number: 1231.0552044357423\n", + "Minimal eigen value: 0.6987885964935451\n", + "Eigen values: [8.60247339e+02 2.70931367e+02 6.98788596e-01 1.91100329e+00]\n", + "Eigen vectors: [[ 0.05042917 -0.32447447 -0.77341286 0.54222298]\n", + " [ 0.18349645 0.01503459 0.5680281 0.80215154]\n", + " [-0.12482559 0.93623603 -0.26275902 0.19707452]\n", + " [-0.97375794 -0.13398648 0.10066939 0.15397653]]\n", + "This is the 50 run out of 81 run.\n", + "The code has run 68.9886 seconds.\n", + "Estimated remaining time: 42.7729 seconds\n", + "=======This is the 51 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3493990898132324 s.\n", + "Existed information has been added.\n", + "FIM: [[ 31.00521934 6.85650123 -85.69296843 -28.77520902]\n", + " [ 6.85650123 29.25596982 -14.8739201 -148.60660828]\n", + " [ -85.69296843 -14.8739201 247.19093546 66.84479086]\n", + " [ -28.77520902 -148.60660828 66.84479086 798.07652584]]\n", + "Trace: 1105.528650449711\n", + "Determinant: 294005.94852919155\n", + "Condition number: 1238.6960115595953\n", + "Minimal eigen value: 0.6746854263913779\n", + "Eigen values: [8.35730147e+02 2.67172188e+02 6.74685426e-01 1.95162994e+00]\n", + "Eigen vectors: [[ 0.0494343 -0.3235256 -0.76345123 0.55680307]\n", + " [ 0.1822192 0.01424747 0.58308316 0.79158525]\n", + " [-0.12246692 0.93692714 -0.25806772 0.20142105]\n", + " [-0.97434812 -0.13151324 0.10274873 0.15097251]]\n", + "This is the 51 run out of 81 run.\n", + "The code has run 70.3410 seconds.\n", + "Estimated remaining time: 41.3770 seconds\n", + "=======This is the 52 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3843729496002197 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.5326021 6.63111144 -84.62650368 -27.69942302]\n", + " [ 6.63111144 28.44101361 -14.31790559 -145.36793678]\n", + " [ -84.62650368 -14.31790559 244.96770492 64.49432934]\n", + " [ -27.69942302 -145.36793678 64.49432934 785.73948133]]\n", + "Trace: 1089.6808019535226\n", + "Determinant: 272410.99410904915\n", + "Condition number: 1283.5532630981627\n", + "Minimal eigen value: 0.6404904869131023\n", + "Eigen values: [8.22103654e+02 2.64984273e+02 6.40490487e-01 1.95238413e+00]\n", + "Eigen vectors: [[ 0.04851718 -0.32271544 -0.7530089 0.57138291]\n", + " [ 0.18113193 0.01375058 0.59808001 0.78057827]\n", + " [-0.12054473 0.93750324 -0.25348335 0.20567651]\n", + " [-0.97483654 -0.12943468 0.10499566 0.14804156]]\n", + "This is the 52 run out of 81 run.\n", + "The code has run 71.7298 seconds.\n", + "Estimated remaining time: 40.0031 seconds\n", + "=======This is the 53 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5724577903747559 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.16432871 6.39874791 -83.87426292 -26.76972632]\n", + " [ 6.39874791 27.80712441 -13.83739643 -143.13165594]\n", + " [ -83.87426292 -13.83739643 243.53868336 62.71570231]\n", + " [ -26.76972632 -143.13165594 62.71570231 778.0913354 ]]\n", + "Trace: 1079.601471888402\n", + "Determinant: 248413.1467302102\n", + "Condition number: 1339.1644113924633\n", + "Minimal eigen value: 0.6074436903249106\n", + "Eigen values: [8.13466972e+02 2.63620058e+02 6.07443690e-01 1.90699772e+00]\n", + "Eigen vectors: [[ 0.04751176 -0.32203464 -0.74224154 0.58575918]\n", + " [ 0.18015667 0.01351365 0.61279354 0.76931466]\n", + " [-0.11868894 0.93802677 -0.24907421 0.20971589]\n", + " [-0.97529439 -0.12734541 0.10734809 0.14512199]]\n", + "This is the 53 run out of 81 run.\n", + "The code has run 73.3055 seconds.\n", + "Estimated remaining time: 38.7274 seconds\n", + "=======This is the 54 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.444624900817871 s.\n", + "Existed information has been added.\n", + "FIM: [[ 29.84934945 6.15735264 -83.3006983 -25.94949342]\n", + " [ 6.15735264 27.31106116 -13.41346297 -141.57117361]\n", + " [ -83.3006983 -13.41346297 242.55256015 61.33743382]\n", + " [ -25.94949342 -141.57117361 61.33743382 773.28296441]]\n", + "Trace: 1072.9959351710581\n", + "Determinant: 225036.58533753204\n", + "Condition number: 1389.9708943774162\n", + "Minimal eigen value: 0.5812303281681005\n", + "Eigen values: [8.07893239e+02 2.62697169e+02 5.81230328e-01 1.82429680e+00]\n", + "Eigen vectors: [[ 0.04648384 -0.32142336 -0.73317849 0.59747433]\n", + " [ 0.17933613 0.01349496 0.6246889 0.75988172]\n", + " [-0.11696451 0.93850693 -0.24548481 0.21274692]\n", + " [-0.97570339 -0.12533816 0.10931739 0.14262871]]\n", + "This is the 54 run out of 81 run.\n", + "The code has run 74.7529 seconds.\n", + "Estimated remaining time: 37.3764 seconds\n", + "=======This is the 55 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1074910163879395 s.\n", + "Existed information has been added.\n", + "FIM: [[ 43.09660269 6.59048419 -126.68915571 -31.12994736]\n", + " [ 6.59048419 37.99224879 -16.09096346 -209.11379689]\n", + " [-126.68915571 -16.09096346 380.61845015 80.9202888 ]\n", + " [ -31.12994736 -209.11379689 80.9202888 1188.77019715]]\n", + "Trace: 1650.4774987836786\n", + "Determinant: 377289.9144015313\n", + "Condition number: 2481.533158401581\n", + "Minimal eigen value: 0.4977587555583983\n", + "Eigen values: [1.23520486e+03 4.13290103e+02 4.97758756e-01 1.48478063e+00]\n", + "Eigen vectors: [[ 0.03730531 -0.3135781 -0.77866613 0.54217722]\n", + " [ 0.1725762 0.01383184 0.56460354 0.80699999]\n", + " [-0.10148488 0.9433793 -0.25614111 0.18473777]\n", + " [-0.97904371 -0.10729839 0.09640345 0.14375966]]\n", + "This is the 55 run out of 81 run.\n", + "The code has run 75.8631 seconds.\n", + "Estimated remaining time: 35.8626 seconds\n", + "=======This is the 56 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2525866031646729 s.\n", + "Existed information has been added.\n", + "FIM: [[ 38.98008208 10.50087231 -109.26616165 -50.33423487]\n", + " [ 10.50087231 46.2357708 -26.0166368 -241.75650289]\n", + " [-109.26616165 -26.0166368 314.03400492 129.07785117]\n", + " [ -50.33423487 -241.75650289 129.07785117 1297.33885768]]\n", + "Trace: 1696.588715479351\n", + "Determinant: 353397.8312879253\n", + "Condition number: 2473.8645149810354\n", + "Minimal eigen value: 0.5506368680154294\n", + "Eigen values: [1.36220101e+03 3.32419741e+02 5.50636868e-01 1.41732872e+00]\n", + "Eigen vectors: [[ 0.04917049 -0.32421068 -0.77441886 0.54105926]\n", + " [ 0.18180006 0.01903732 0.56547639 0.80425292]\n", + " [-0.12952444 0.93577129 -0.26488389 0.19337021]\n", + " [-0.9735268 -0.1373212 0.10172706 0.15178957]]\n", + "This is the 56 run out of 81 run.\n", + "The code has run 77.1190 seconds.\n", + "Estimated remaining time: 34.4281 seconds\n", + "=======This is the 57 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.2885539531707764 s.\n", + "Existed information has been added.\n", + "FIM: [[ 36.04956949 9.70175573 -98.97227132 -43.42997368]\n", + " [ 9.70175573 40.22722663 -22.44817902 -201.75717188]\n", + " [ -98.97227132 -22.44817902 280.76635309 104.14374396]\n", + " [ -43.42997368 -201.75717188 104.14374396 1050.10727896]]\n", + "Trace: 1407.150428173226\n", + "Determinant: 385007.66008115205\n", + "Condition number: 1607.7050261633747\n", + "Minimal eigen value: 0.6877958792213302\n", + "Eigen values: [1.10577289e+03 2.98996660e+02 6.87795879e-01 1.69308018e+00]\n", + "Eigen vectors: [[ 0.05355966 -0.32712622 -0.78888975 0.51746764]\n", + " [ 0.18728768 0.01854209 0.54218599 0.81891017]\n", + " [-0.13417312 0.93385046 -0.27197264 0.18960955]\n", + " [-0.97162352 -0.14341531 0.09858088 0.16019237]]\n", + "This is the 57 run out of 81 run.\n", + "The code has run 78.4102 seconds.\n", + "Estimated remaining time: 33.0148 seconds\n", + "=======This is the 58 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3040037155151367 s.\n", + "Existed information has been added.\n", + "FIM: [[ 33.98317248 8.42333604 -92.76204231 -36.13237 ]\n", + " [ 8.42333604 34.62136349 -18.67643566 -172.26593198]\n", + " [ -92.76204231 -18.67643566 263.37972026 83.93292272]\n", + " [ -36.13237 -172.26593198 83.93292272 900.07554444]]\n", + "Trace: 1232.0598006660607\n", + "Determinant: 390791.50345847104\n", + "Condition number: 1252.164170768648\n", + "Minimal eigen value: 0.755936785366837\n", + "Eigen values: [9.46556958e+02 2.82815786e+02 7.55936785e-01 1.93111988e+00]\n", + "Eigen vectors: [[ 0.0536091 -0.32713615 -0.78407605 0.52472159]\n", + " [ 0.18681353 0.0168036 0.55027211 0.81364547]\n", + " [-0.13180724 0.93417415 -0.2694697 0.19321382]\n", + " [-0.97203581 -0.14148579 0.09905265 0.1591123 ]]\n", + "This is the 58 run out of 81 run.\n", + "The code has run 79.7169 seconds.\n", + "Estimated remaining time: 31.6119 seconds\n", + "=======This is the 59 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4604430198669434 s.\n", + "Existed information has been added.\n", + "FIM: [[ 32.61461165 7.69867872 -89.0993162 -32.29861664]\n", + " [ 7.69867872 31.72831286 -16.6949761 -158.49193134]\n", + " [ -89.0993162 -16.6949761 254.23608263 74.24416551]\n", + " [ -32.29861664 -158.49193134 74.24416551 836.93855774]]\n", + "Trace: 1155.517564889954\n", + "Determinant: 377055.4844963731\n", + "Condition number: 1153.56396067208\n", + "Minimal eigen value: 0.7616413010273266\n", + "Eigen values: [8.78601956e+02 2.74098284e+02 7.61641301e-01 2.05568371e+00]\n", + "Eigen vectors: [[ 0.05232178 -0.32611304 -0.77255089 0.54228945]\n", + " [ 0.18508459 0.0153093 0.56859711 0.80137797]\n", + " [-0.12810799 0.93511485 -0.2637982 0.1988946 ]\n", + " [-0.97293087 -0.13775386 0.10135559 0.15542345]]\n", + "This is the 59 run out of 81 run.\n", + "The code has run 81.1817 seconds.\n", + "Estimated remaining time: 30.2711 seconds\n", + "=======This is the 60 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3812050819396973 s.\n", + "Existed information has been added.\n", + "FIM: [[ 31.71734916 7.29854327 -86.90405671 -30.22973035]\n", + " [ 7.29854327 30.12738394 -15.62568199 -151.47396021]\n", + " [ -86.90405671 -15.62568199 249.25058073 69.31843272]\n", + " [ -30.22973035 -151.47396021 69.31843272 807.51142812]]\n", + "Trace: 1118.606741960431\n", + "Determinant: 352265.93053194525\n", + "Condition number: 1157.5019448123237\n", + "Minimal eigen value: 0.731369368906729\n", + "Eigen values: [8.46561467e+02 2.69200418e+02 7.31369369e-01 2.11348733e+00]\n", + "Eigen vectors: [[ 0.05112181 -0.32491964 -0.76087976 0.55935299]\n", + " [ 0.18349975 0.01428386 0.58622697 0.78896245]\n", + " [-0.12523328 0.93598322 -0.25814533 0.2039927 ]\n", + " [-0.97366885 -0.13475387 0.10373479 0.15182048]]\n", + "This is the 60 run out of 81 run.\n", + "The code has run 82.5652 seconds.\n", + "Estimated remaining time: 28.8978 seconds\n", + "=======This is the 61 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.401050090789795 s.\n", + "Existed information has been added.\n", + "FIM: [[ 31.10005334 7.00415656 -85.51112338 -28.82462182]\n", + " [ 7.00415656 29.06295134 -14.8994589 -147.24385858]\n", + " [ -85.51112338 -14.8994589 246.34676968 66.2484418 ]\n", + " [ -28.82462182 -147.24385858 66.2484418 791.39773689]]\n", + "Trace: 1097.9075112415553\n", + "Determinant: 321261.1072732417\n", + "Condition number: 1206.2607176796919\n", + "Minimal eigen value: 0.6870415207970759\n", + "Eigen values: [8.28751198e+02 2.66350926e+02 6.87041521e-01 2.11834546e+00]\n", + "Eigen vectors: [[ 0.04997416 -0.32388984 -0.74853205 0.57645271]\n", + " [ 0.18211958 0.01362624 0.60381088 0.77592474]\n", + " [-0.12282242 0.93672065 -0.25260425 0.20895014]\n", + " [-0.97429446 -0.13215185 0.10631692 0.14826634]]\n", + "This is the 61 run out of 81 run.\n", + "The code has run 83.9686 seconds.\n", + "Estimated remaining time: 27.5307 seconds\n", + "=======This is the 62 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5802278518676758 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.61904319 6.70066134 -84.52860483 -27.6103242 ]\n", + " [ 6.70066134 28.23501444 -14.27185511 -144.32300206]\n", + " [ -84.52860483 -14.27185511 244.48029255 63.92533729]\n", + " [ -27.6103242 -144.32300206 63.92533729 781.40832224]]\n", + "Trace: 1084.742672417322\n", + "Determinant: 287091.8887813455\n", + "Condition number: 1270.1548612113952\n", + "Minimal eigen value: 0.6435916597485087\n", + "Eigen values: [8.17461075e+02 2.64575506e+02 6.43591660e-01 2.06249924e+00]\n", + "Eigen vectors: [[ 0.04868907 -0.3230202 -0.73551595 0.59355169]\n", + " [ 0.18086605 0.01330593 0.62129568 0.76230054]\n", + " [-0.12045256 0.93739782 -0.24720548 0.21369594]\n", + " [-0.97488873 -0.12948445 0.10907526 0.14466629]]\n", + "This is the 62 run out of 81 run.\n", + "The code has run 85.5513 seconds.\n", + "Estimated remaining time: 26.2173 seconds\n", + "=======This is the 63 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.450212001800537 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.20764168 6.38536954 -83.77945916 -26.53899956]\n", + " [ 6.38536954 27.58709508 -13.71814607 -142.28482105]\n", + " [ -83.77945916 -13.71814607 243.19229482 62.12514983]\n", + " [ -26.53899956 -142.28482105 62.12514983 775.12800093]]\n", + "Trace: 1076.1150325176336\n", + "Determinant: 254255.2773071438\n", + "Condition number: 1330.7789521030636\n", + "Minimal eigen value: 0.608797184781677\n", + "Eigen values: [8.10174480e+02 2.63374511e+02 6.08797185e-01 1.95724431e+00]\n", + "Eigen vectors: [[ 0.04736083 -0.32223551 -0.724051 0.60800607]\n", + " [ 0.17980376 0.01327246 0.63595878 0.75036716]\n", + " [-0.11822723 0.93802249 -0.24264785 0.2173894 ]\n", + " [-0.97542293 -0.12689337 0.11148365 0.14149058]]\n", + "This is the 63 run out of 81 run.\n", + "The code has run 87.0041 seconds.\n", + "Estimated remaining time: 24.8583 seconds\n", + "=======This is the 64 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1176772117614746 s.\n", + "Existed information has been added.\n", + "FIM: [[ 46.92629751 6.90338693 -138.62963954 -33.01752486]\n", + " [ 6.90338693 41.06895619 -17.06655062 -227.67404402]\n", + " [-138.62963954 -17.06655062 417.84730534 86.80549243]\n", + " [ -33.01752486 -227.67404402 86.80549243 1300.73494691]]\n", + "Trace: 1806.5775059519992\n", + "Determinant: 459604.7219933394\n", + "Condition number: 2702.7543876920536\n", + "Minimal eigen value: 0.4997565607094312\n", + "Eigen values: [1.35071924e+03 4.53858342e+02 4.99756561e-01 1.50017033e+00]\n", + "Eigen vectors: [[-0.03631039 0.31277851 -0.77902003 0.54219825]\n", + " [-0.17175452 -0.01378792 0.56437548 0.80733549]\n", + " [ 0.09967419 -0.94387759 -0.25567722 0.18381867]\n", + " [ 0.97941156 0.10523585 0.0961107 0.14297255]]\n", + "This is the 64 run out of 81 run.\n", + "The code has run 88.1241 seconds.\n", + "Estimated remaining time: 23.4080 seconds\n", + "=======This is the 65 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.2555770874023438 s.\n", + "Existed information has been added.\n", + "FIM: [[ 41.71632611 11.8524719 -116.57866267 -57.32295124]\n", + " [ 11.8524719 51.50216373 -29.62873093 -268.98746881]\n", + " [-116.57866267 -29.62873093 333.57636684 147.7549073 ]\n", + " [ -57.32295124 -268.98746881 147.7549073 1438.14215791]]\n", + "Trace: 1864.93701458946\n", + "Determinant: 425293.33387179556\n", + "Condition number: 2684.360803602728\n", + "Minimal eigen value: 0.5630645637492117\n", + "Eigen values: [1.51146844e+03 3.51483746e+02 5.63064564e-01 1.42175920e+00]\n", + "Eigen vectors: [[ 0.04986108 -0.3253461 -0.7734496 0.54170057]\n", + " [ 0.18236313 0.01979238 0.5662309 0.80357608]\n", + " [-0.13158898 0.9350533 -0.26583167 0.19414733]\n", + " [-0.9731094 -0.13940407 0.10242952 0.15209469]]\n", + "This is the 65 run out of 81 run.\n", + "The code has run 89.3822 seconds.\n", + "Estimated remaining time: 22.0018 seconds\n", + "=======This is the 66 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2706670761108398 s.\n", + "Existed information has been added.\n", + "FIM: [[ 38.00739612 10.84108997 -103.55045697 -48.58474746]\n", + " [ 10.84108997 43.89759997 -25.11239917 -218.36331941]\n", + " [-103.55045697 -25.11239917 291.47199138 116.19767124]\n", + " [ -48.58474746 -218.36331941 116.19767124 1125.23972746]]\n", + "Trace: 1498.6167149344094\n", + "Determinant: 469841.6247280835\n", + "Condition number: 1620.7512957765398\n", + "Minimal eigen value: 0.7323714028597419\n", + "Eigen values: [1.18699190e+03 3.09144162e+02 7.32371403e-01 1.74828128e+00]\n", + "Eigen vectors: [[ 0.05523448 -0.32901628 -0.78936724 0.51536085]\n", + " [ 0.18898188 0.01942047 0.54031673 0.81973564]\n", + " [-0.13764106 0.93258287 -0.27409578 0.19030404]\n", + " [-0.9707162 -0.14717445 0.0991398 0.16192912]]\n", + "This is the 66 run out of 81 run.\n", + "The code has run 90.6551 seconds.\n", + "Estimated remaining time: 20.6034 seconds\n", + "=======This is the 67 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3033967018127441 s.\n", + "Existed information has been added.\n", + "FIM: [[ 35.39211234 9.22308995 -95.69063657 -39.3487156 ]\n", + " [ 9.22308995 36.80267948 -20.33878885 -181.038465 ]\n", + " [ -95.69063657 -20.33878885 269.4670378 90.6183572 ]\n", + " [ -39.3487156 -181.038465 90.6183572 935.35577706]]\n", + "Trace: 1277.017606694349\n", + "Determinant: 478375.47935399483\n", + "Condition number: 1199.9989788371267\n", + "Minimal eigen value: 0.8212252566049608\n", + "Eigen values: [9.85469469e+02 2.88679300e+02 8.21225257e-01 2.04761261e+00]\n", + "Eigen vectors: [[ 0.05571542 -0.32911178 -0.7844296 0.52273457]\n", + " [ 0.18875266 0.01745765 0.54869009 0.81425232]\n", + " [-0.13569991 0.93279596 -0.27146248 0.19438454]\n", + " [-0.97100657 -0.14585045 0.09958669 0.16110983]]\n", + "This is the 67 run out of 81 run.\n", + "The code has run 91.9608 seconds.\n", + "Estimated remaining time: 19.2157 seconds\n", + "=======This is the 68 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4452309608459473 s.\n", + "Existed information has been added.\n", + "FIM: [[ 33.66002761 8.30594564 -91.05499891 -34.49662194]\n", + " [ 8.30594564 33.14116228 -17.83100411 -163.60574544]\n", + " [ -91.05499891 -17.83100411 257.89462145 78.35602391]\n", + " [ -34.49662194 -163.60574544 78.35602391 855.44802828]]\n", + "Trace: 1180.143839623319\n", + "Determinant: 459277.25895758584\n", + "Condition number: 1081.8197040357716\n", + "Minimal eigen value: 0.8314050126325663\n", + "Eigen values: [8.99430325e+02 2.77670210e+02 8.31405013e-01 2.21190000e+00]\n", + "Eigen vectors: [[ 0.05436601 -0.32790709 -0.77158474 0.54238203]\n", + " [ 0.18680442 0.01563656 0.56923733 0.80051762]\n", + " [-0.13162916 0.93387659 -0.26494772 0.20087555]\n", + " [-0.97201966 -0.14179899 0.10212027 0.15697861]]\n", + "This is the 68 run out of 81 run.\n", + "The code has run 93.4086 seconds.\n", + "Estimated remaining time: 17.8575 seconds\n", + "=======This is the 69 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3771250247955322 s.\n", + "Existed information has been added.\n", + "FIM: [[ 32.52442966 7.79952394 -88.27662362 -31.87818718]\n", + " [ 7.79952394 31.11498652 -16.47767841 -154.72362552]\n", + " [ -88.27662362 -16.47767841 251.58484594 72.12189285]\n", + " [ -31.87818718 -154.72362552 72.12189285 818.20431707]]\n", + "Trace: 1133.428579183614\n", + "Determinant: 424625.5063295614\n", + "Condition number: 1080.5771231432936\n", + "Minimal eigen value: 0.7948118154343831\n", + "Eigen values: [8.58855465e+02 2.71487052e+02 7.94811815e-01 2.29125042e+00]\n", + "Eigen vectors: [[ 0.05298068 -0.32645825 -0.75839465 0.56165435]\n", + " [ 0.18491122 0.01434479 0.589166 0.78643849]\n", + " [-0.12826537 0.93492766 -0.25836135 0.20665836]\n", + " [-0.97290744 -0.13830947 0.10473962 0.15281106]]\n", + "This is the 69 run out of 81 run.\n", + "The code has run 94.7883 seconds.\n", + "Estimated remaining time: 16.4849 seconds\n", + "=======This is the 70 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4008798599243164 s.\n", + "Existed information has been added.\n", + "FIM: [[ 31.74316474 7.42694102 -86.51369237 -30.09984737]\n", + " [ 7.42694102 29.7678141 -15.55855266 -149.36990345]\n", + " [ -86.51369237 -15.55855266 247.90970974 68.2364363 ]\n", + " [ -30.09984737 -149.36990345 68.2364363 797.81042745]]\n", + "Trace: 1107.231116021695\n", + "Determinant: 381369.94743284467\n", + "Condition number: 1131.228760170931\n", + "Minimal eigen value: 0.7392823596420406\n", + "Eigen values: [8.36297467e+02 2.67891780e+02 7.39282360e-01 2.30258650e+00]\n", + "Eigen vectors: [[ 0.05159752 -0.32519357 -0.74430518 0.58103066]\n", + " [ 0.18321977 0.01350159 0.60908704 0.77153172]\n", + " [-0.12535113 0.93583947 -0.25188368 0.21224088]\n", + " [-0.97368132 -0.1351715 0.10759823 0.14864717]]\n", + "This is the 70 run out of 81 run.\n", + "The code has run 96.1918 seconds.\n", + "Estimated remaining time: 15.1159 seconds\n", + "=======This is the 71 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5809671878814697 s.\n", + "Existed information has been added.\n", + "FIM: [[ 31.13438628 7.04282989 -85.27019232 -28.5630018 ]\n", + " [ 7.04282989 28.71995645 -14.7642416 -145.67319431]\n", + " [ -85.27019232 -14.7642416 245.54744961 65.29625692]\n", + " [ -28.5630018 -145.67319431 65.29625692 785.16757397]]\n", + "Trace: 1090.569366309676\n", + "Determinant: 334072.2908212103\n", + "Condition number: 1201.6870700885588\n", + "Minimal eigen value: 0.6840342314306751\n", + "Eigen values: [8.21995091e+02 2.65653696e+02 6.84034231e-01 2.23654444e+00]\n", + "Eigen vectors: [[ 0.05001058 -0.32412002 -0.72914289 0.6006628 ]\n", + " [ 0.18166178 0.01308144 0.62914363 0.7556495 ]\n", + " [-0.12242742 0.93668688 -0.24550229 0.21761858]\n", + " [-0.97442776 -0.1318817 0.1107139 0.14436129]]\n", + "This is the 71 run out of 81 run.\n", + "The code has run 97.7754 seconds.\n", + "Estimated remaining time: 13.7712 seconds\n", + "=======This is the 72 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4995362758636475 s.\n", + "Existed information has been added.\n", + "FIM: [[ 30.61370624 6.64378871 -84.32205484 -27.20710656]\n", + " [ 6.64378871 27.89993353 -14.0634536 -143.09362149]\n", + " [ -84.32205484 -14.0634536 243.91732749 63.01789467]\n", + " [ -27.20710656 -143.09362149 63.01789467 777.21904233]]\n", + "Trace: 1079.6500095886515\n", + "Determinant: 289208.71561637335\n", + "Condition number: 1271.2648772423802\n", + "Minimal eigen value: 0.6393346215801524\n", + "Eigen values: [8.12763649e+02 2.64139927e+02 6.39334622e-01 2.10709845e+00]\n", + "Eigen vectors: [[ 0.04834993 -0.32314612 -0.71522959 0.61780702]\n", + " [ 0.1803307 0.01302644 0.64651616 0.74116665]\n", + " [-0.11964922 0.93747381 -0.23994152 0.22193464]\n", + " [-0.97510368 -0.12864585 0.11354098 0.14046888]]\n", + "This is the 72 run out of 81 run.\n", + "The code has run 99.2772 seconds.\n", + "Estimated remaining time: 12.4097 seconds\n", + "=======This is the 73 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.1219899654388428 s.\n", + "Existed information has been added.\n", + "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", + " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", + " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", + " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", + "Trace: 1981.0422198461438\n", + "Determinant: 561207.9662178434\n", + "Condition number: 2950.219453820002\n", + "Minimal eigen value: 0.5016011129279737\n", + "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", + "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", + " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", + " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", + " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", + "This is the 73 run out of 81 run.\n", + "The code has run 100.4018 seconds.\n", + "Estimated remaining time: 11.0029 seconds\n", + "=======This is the 74 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.248506784439087 s.\n", + "Existed information has been added.\n", + "FIM: [[ 44.77448121 13.36308321 -124.75145794 -65.13386954]\n", + " [ 13.36308321 57.3881323 -33.66577731 -299.42207777]\n", + " [-124.75145794 -33.66577731 355.41783016 168.62926416]\n", + " [ -65.13386954 -299.42207777 168.62926416 1595.51055227]]\n", + "Trace: 2053.0909959474125\n", + "Determinant: 513228.2976445542\n", + "Condition number: 2917.190381044787\n", + "Minimal eigen value: 0.5753167063296618\n", + "Eigen values: [1.67830836e+03 3.72781455e+02 5.75316706e-01 1.42586218e+00]\n", + "Eigen vectors: [[-0.05047007 0.32648857 -0.77233623 0.54254469]\n", + " [-0.18287382 -0.02050882 0.56719727 0.80276012]\n", + " [ 0.13340808 -0.93436539 -0.26673157 0.1949817 ]\n", + " [ 0.9727344 0.14122999 0.10314205 0.15232724]]\n", + "This is the 74 run out of 81 run.\n", + "The code has run 101.6535 seconds.\n", + "Estimated remaining time: 9.6159 seconds\n", + "=======This is the 75 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2861909866333008 s.\n", + "Existed information has been added.\n", + "FIM: [[ 40.19555527 12.11446351 -108.66725425 -54.3459603 ]\n", + " [ 12.11446351 47.99978202 -28.09006195 -236.92312113]\n", + " [-108.66725425 -28.09006195 303.43712402 129.66971892]\n", + " [ -54.3459603 -236.92312113 129.66971892 1209.21119331]]\n", + "Trace: 1600.843654620789\n", + "Determinant: 574493.5923426447\n", + "Condition number: 1641.1009368547748\n", + "Minimal eigen value: 0.7786241106559912\n", + "Eigen values: [1.27780076e+03 3.20462430e+02 7.78624111e-01 1.80184355e+00]\n", + "Eigen vectors: [[ 0.0568252 -0.33099073 -0.78928624 0.51404598]\n", + " [ 0.19061862 0.02031409 0.53926995 0.82002427]\n", + " [-0.1409001 0.93130083 -0.27612117 0.1912669 ]\n", + " [-0.96983638 -0.15070249 0.09986122 0.16350503]]\n", + "This is the 75 run out of 81 run.\n", + "The code has run 102.9437 seconds.\n", + "Estimated remaining time: 8.2355 seconds\n", + "=======This is the 76 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3080360889434814 s.\n", + "Existed information has been added.\n", + "FIM: [[ 36.96680994 10.1169327 -98.96377145 -42.94345541]\n", + " [ 10.1169327 39.24062076 -22.19671301 -190.84306041]\n", + " [ -98.96377145 -22.19671301 276.27051038 98.09031344]\n", + " [ -42.94345541 -190.84306041 98.09031344 974.78662483]]\n", + "Trace: 1327.2645659113318\n", + "Determinant: 586703.6867346049\n", + "Condition number: 1154.5643300518498\n", + "Minimal eigen value: 0.8912447563558519\n", + "Eigen values: [1.02899941e+03 2.95206809e+02 8.91244756e-01 2.16710690e+00]\n", + "Eigen vectors: [[ 0.0578611 -0.33121289 -0.78442655 0.52117666]\n", + " [ 0.19074339 0.01817303 0.54757119 0.81452593]\n", + " [-0.13962694 0.93133834 -0.27347645 0.19576479]\n", + " [-0.96993472 -0.15025534 0.10025673 0.16309062]]\n", + "This is the 76 run out of 81 run.\n", + "The code has run 104.2544 seconds.\n", + "Estimated remaining time: 6.8588 seconds\n", + "=======This is the 77 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.462061882019043 s.\n", + "Existed information has been added.\n", + "FIM: [[ 34.82843368 8.98465572 -93.24076194 -36.95321608]\n", + " [ 8.98465572 34.72022928 -19.10068248 -169.32118473]\n", + " [ -93.24076194 -19.10068248 261.98357659 82.95163035]\n", + " [ -36.95321608 -169.32118473 82.95163035 876.1350836 ]]\n", + "Trace: 1207.667323148074\n", + "Determinant: 560761.244544903\n", + "Condition number: 1016.6953838933143\n", + "Minimal eigen value: 0.9075873160350136\n", + "Eigen values: [9.22739835e+02 2.81642447e+02 9.07587316e-01 2.37745440e+00]\n", + "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", + " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", + " [-0.13533435 0.93253239 -0.26619814 0.20299388]\n", + " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", + "This is the 77 run out of 81 run.\n", + "The code has run 105.7190 seconds.\n", + "Estimated remaining time: 5.4919 seconds\n", + "=======This is the 78 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.373279094696045 s.\n", + "Existed information has been added.\n", + "FIM: [[ 33.42646128 8.35944401 -89.81066931 -33.72058097]\n", + " [ 8.35944401 32.21877784 -17.42991033 -158.35560484]\n", + " [ -89.81066931 -17.42991033 254.19373028 75.25517256]\n", + " [ -33.72058097 -158.35560484 75.25517256 830.15519359]]\n", + "Trace: 1149.9941629861146\n", + "Determinant: 513459.05664163764\n", + "Condition number: 1009.1034533531276\n", + "Minimal eigen value: 0.8647458183914464\n", + "Eigen values: [8.72617992e+02 2.74028305e+02 8.64745818e-01 2.48312030e+00]\n", + "Eigen vectors: [[ 0.0549935 -0.32812852 -0.75602079 0.56368427]\n", + " [ 0.18644071 0.01443566 0.59187188 0.78404028]\n", + " [-0.13153067 0.93376588 -0.2587196 0.2093923 ]\n", + " [-0.97206752 -0.14214279 0.10575638 0.15393425]]\n", + "This is the 78 run out of 81 run.\n", + "The code has run 107.0948 seconds.\n", + "Estimated remaining time: 4.1190 seconds\n", + "=======This is the 79 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4319868087768555 s.\n", + "Existed information has been added.\n", + "FIM: [[ 32.46193631 7.89946484 -87.6342104 -31.52509933]\n", + " [ 7.89946484 30.55560189 -16.29518665 -151.74607116]\n", + " [ -87.6342104 -16.29518665 249.65652434 70.45831169]\n", + " [ -31.52509933 -151.74607116 70.45831169 804.97755171]]\n", + "Trace: 1117.6516142451649\n", + "Determinant: 454517.04885885824\n", + "Condition number: 1059.7997094874358\n", + "Minimal eigen value: 0.7970814188484145\n", + "Eigen values: [8.44746656e+02 2.69604106e+02 7.97081419e-01 2.50377045e+00]\n", + "Eigen vectors: [[ 0.05337759 -0.32661762 -0.7403787 0.58507363]\n", + " [ 0.18442587 0.01338178 0.61386088 0.76745218]\n", + " [-0.12811295 0.93486205 -0.25133676 0.21552227]\n", + " [-0.97299795 -0.1384731 0.10883033 0.14918496]]\n", + "This is the 79 run out of 81 run.\n", + "The code has run 108.5292 seconds.\n", + "Estimated remaining time: 2.7476 seconds\n", + "=======This is the 80 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5811049938201904 s.\n", + "Existed information has been added.\n", + "FIM: [[ 31.71035796 7.42525356 -86.0990254 -29.62775912]\n", + " [ 7.42525356 29.26195047 -15.31455591 -147.18223271]\n", + " [ -86.0990254 -15.31455591 246.74015456 66.82846121]\n", + " [ -29.62775912 -147.18223271 66.82846121 789.36909062]]\n", + "Trace: 1097.0815536086095\n", + "Determinant: 390533.5375384314\n", + "Condition number: 1134.9974877008417\n", + "Minimal eigen value: 0.7286990827395959\n", + "Eigen values: [8.27071628e+02 2.66852968e+02 7.28699083e-01 2.42825870e+00]\n", + "Eigen vectors: [[ 0.05147169 -0.32532815 -0.7232187 0.6070148 ]\n", + " [ 0.18254089 0.01284389 0.63625522 0.74946191]\n", + " [-0.12460497 0.93589476 -0.24399628 0.22145072]\n", + " [-0.97391123 -0.13452744 0.11224889 0.14422019]]\n", + "This is the 80 run out of 81 run.\n", + "The code has run 110.1129 seconds.\n", + "Estimated remaining time: 1.3764 seconds\n", + "=======This is the 81 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.482234001159668 s.\n", + "Existed information has been added.\n", + "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", + " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", + " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", + " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", + "Trace: 1083.6008663096845\n", + "Determinant: 330586.4905784959\n", + "Condition number: 1212.388775069196\n", + "Minimal eigen value: 0.6727727401066618\n", + "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", + "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", + " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", + " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", + " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", + "This is the 81 run out of 81 run.\n", + "The code has run 111.5976 seconds.\n", + "Estimated remaining time: 0.0000 seconds\n", + "The whole run takes 111.59761500358582 s.\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -681,10 +3611,229 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "id": "991969ba", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 700.0)\n", + "[\"'CA0'\"] is/are fixed.\n", + "1D sensitivity curve is plotted with T .\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "test = all_fim.extract_criteria()\n", "\n", @@ -706,10 +3855,66 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "id": "c9fe2868", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2D heatmap is plotted with ['CA0', 'T'] .\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "fixed = {}\n", "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" From b5f33262dd74ab6edbea501712c3cc4be10c5418 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sun, 29 Aug 2021 10:31:02 -0400 Subject: [PATCH 14/42] before run sensitivity analysis with time --- pyomo/contrib/doe/fim_doe.py | 28 +- pyomo/contrib/doe/reactor_control_doe.ipynb | 3591 +++---------------- 2 files changed, 548 insertions(+), 3071 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index fa2442b550f..f74a13b172d 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -6,7 +6,7 @@ import time import pickle from itertools import permutations, product -from pyomo.contrib.sensitivity_toolbox.sens import sipopt +from pyomo.contrib.sensitivity_toolbox.sens import sipopt, sensitivity_calculation class DesignOfExperiments: @@ -174,10 +174,12 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', analysis_optimize = FIM_result(self.param_name, prior_FIM=self.prior_FIM) analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, obj=objective_option) + analysis_optimize.model = m return analysis_square, analysis_optimize else: + analysis_optimize.model = m return analysis_square @@ -245,9 +247,14 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No if (self.mode == 'simultaneous_finite'): m = self.__create_doe_model() + time0 = time.time() # solve model, achieve results for square problem, and results for optimization problem square_result = self.__solve_doe(m, fix=True) - + time1 = time.time() + + if self.verbose: + print('This run takes wall clock time: ', time1-time0, ' s.') + # analyze results if specified_prior is None: prior_in_use = self.prior_FIM @@ -274,7 +281,8 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No output_record = {} # dict for storing Jacobian jac = {} - + + time0 = time.time() # loop over each scenario for no_s in (scena_gen.scena_keys): @@ -303,6 +311,9 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No C_value = eval('mod.' + j + '[0,' + str(t) + ']') output_combine.append(value(C_value)) output_record[no_s] = output_combine + + time1 = time.time() + print('This run takes wall clock time: ', time1-time0, ' s.') # After collecting outputs from all scenarios, calculate sensitivity for para in self.param_name: @@ -347,7 +358,8 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No all_base_measure = [] # store jacobian info jac={} - + + time0 = time.time() # loop over parameters for pa in range(len(self.param_name)): perturb_mea = [] @@ -390,7 +402,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No if self.mode =='sequential_sipopt': m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=self.tee_opt, solver_options='ma57') else: - m_sipopt = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=True) + m_sipopt = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=self.tee_opt, solver_options='ma57') # extract sipopt result for j in self.measurement_variables: @@ -423,7 +435,9 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No print(all_perturb_measure) print(all_base_measure) - + time1 = time.time() + if self.verbose: + print('This run takes wall clock time: ', time1-time0, ' s.') # After collecting outputs from all scenarios, calculate sensitivity for count, para in enumerate(self.param_name): list_jac = [] @@ -607,7 +621,7 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, formula=formula, step=step) if (mode=='simultaneous_finite'): - result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, objective_option) + result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.objective_option) elif (mode in ['sequential_finite', 'sequential_sipopt', 'sequential_kaug']): result_iter.calculate_FIM(self.jac, self.design_values) diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index b8f1e68ee2e..454189de56e 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -135,8 +135,8 @@ "outputs": [], "source": [ "# choose model from 'dynamic-DAE', 'constant-DAE', 'constant-analytical'\n", - "#model_opt = 'dynamic-DAE'\n", - "model_opt = 'constant-DAE'\n", + "model_opt = 'dynamic-DAE'\n", + "#model_opt = 'constant-DAE'\n", "#model_opt = 'constant-analytical'\n", "\n", "if (model_opt=='dynamic-DAE'):\n", @@ -190,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 6, "id": "written-tours", "metadata": {}, "outputs": [ @@ -198,29 +198,29 @@ "name": "stdout", "output_type": "stream", "text": [ - "The prior information FIM: [[ 28.67892806 5.41249739 -81.73674601 -24.02377324]\n", - " [ 5.41249739 26.40935036 -12.41816477 -139.23992532]\n", - " [ -81.73674601 -12.41816477 240.46276004 58.76422806]\n", - " [ -24.02377324 -139.23992532 58.76422806 767.25584508]]\n", - "Prior Det: 140189.67370995492\n", - "Eigenvalue of the prior experiments FIM: [8.00463185e+02 2.60471503e+02 4.84545259e-01 1.38765050e+00]\n", - "Eigenvalue of the prior experiments FIM: [[-0.77629273 -0.54211788 0.31871243 -0.0435912 ]\n", - " [ 0.56614148 -0.80478003 -0.01425817 -0.177791 ]\n", - " [-0.25919275 -0.19059651 -0.94009108 0.11278677]\n", - " [ 0.09834911 -0.14869526 0.12019924 0.97661114]]\n" + "The prior information FIM: [[0. 0. 0. 0.]\n", + " [0. 0. 0. 0.]\n", + " [0. 0. 0. 0.]\n", + " [0. 0. 0. 0.]]\n", + "Prior Det: 0.0\n", + "Eigenvalue of the prior experiments FIM: [0. 0. 0. 0.]\n", + "Eigenvalue of the prior experiments FIM: [[1. 0. 0. 0.]\n", + " [0. 1. 0. 0.]\n", + " [0. 0. 1. 0.]\n", + " [0. 0. 0. 1.]]\n" ] } ], "source": [ "# empty prior\n", - "#prior_all = np.zeros((4,4))\n", + "prior_all = np.zeros((4,4))\n", "\n", "\n", "# add prior information\n", - "prior_5_300 = pd.read_csv('fim_5_300_scale.csv')\n", - "prior_5_300_500 = pd.read_csv('fim_5_300_500_scale.csv')\n", + "#prior_5_300 = pd.read_csv('fim_5_300_scale.csv')\n", + "#prior_5_300_500 = pd.read_csv('fim_5_300_500_scale.csv')\n", "\n", - "prior_all = prior_5_300_500\n", + "#prior_all = prior_5_300_500\n", "\n", "\n", "prior_pass=np.asarray(prior_all)\n", @@ -246,7 +246,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 8, "id": "d3ee5ff9", "metadata": {}, "outputs": [ @@ -254,7 +254,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Design variable: {'CA0': {0: 5}, 'T': {0: 500}}\n" + "Design variable: {'CA0': {0: 5}, 'T': {0: 570.21, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n" ] } ], @@ -276,7 +276,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 9, "id": "latin-medicare", "metadata": { "scrolled": true @@ -299,77 +299,47 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", "\n", - "Total number of variables............................: 869\n", + "Total number of variables............................: 861\n", " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", + " variables with lower and upper bounds: 88\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", + "Total number of equality constraints.................: 861\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.35e+01 -1.0 1.97e+02 - 1.49e-02 3.70e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.22e+01 -1.0 1.24e+02 - 1.57e-01 5.87e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.43e+03 -1.0 1.17e+02 - 2.65e-01 9.06e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.85e-07R 6\n", - " 5r 0.0000000e+00 8.36e+01 4.10e+04 2.1 2.04e+04 - 8.66e-03 2.36e-03f 1\n", - " 6r 0.0000000e+00 6.20e+01 4.08e+04 2.1 1.36e+04 - 5.26e-03 1.76e-03f 1\n", - " 7r 0.0000000e+00 3.94e+01 3.77e+04 2.1 8.52e+03 - 2.52e-02 2.68e-03f 1\n", - " 8r 0.0000000e+00 1.23e+01 3.04e+04 2.1 2.04e+03 - 7.09e-02 1.60e-02f 1\n", - " 9r 0.0000000e+00 6.72e+00 2.53e+04 2.1 1.58e+02 - 7.38e-02 3.62e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.26e+00 1.89e+04 2.1 1.29e+02 - 8.90e-02 3.63e-02f 1\n", - " 11r 0.0000000e+00 4.00e+00 1.29e+04 2.1 1.12e+02 - 1.64e-01 6.96e-02f 1\n", - " 12r 0.0000000e+00 2.80e+00 1.24e+04 2.1 8.70e+01 - 2.27e-01 1.49e-01f 1\n", - " 13r 0.0000000e+00 2.39e+00 9.53e+03 2.1 4.51e+01 - 4.32e-01 1.98e-01f 1\n", - " 14r 0.0000000e+00 8.72e-01 7.53e+03 2.1 2.85e+01 - 7.88e-01 3.41e-01f 1\n", - " 15r 0.0000000e+00 2.29e-01 1.22e+03 1.4 3.08e+00 - 1.00e+00 6.98e-01f 1\n", - " 16r 0.0000000e+00 1.77e-01 8.00e+02 0.7 2.62e+00 - 1.00e+00 5.55e-01f 1\n", - " 17r 0.0000000e+00 6.99e-02 2.35e+02 0.7 5.46e+00 - 8.36e-01 7.69e-01f 1\n", - " 18r 0.0000000e+00 4.99e-02 9.29e+02 -0.0 1.26e+00 - 9.86e-01 6.55e-01f 1\n", - " 19r 0.0000000e+00 5.12e-02 2.24e+03 -0.0 5.16e+00 - 1.00e+00 2.47e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.49e-02 4.59e+02 -0.0 3.20e+00 - 1.00e+00 8.16e-01f 1\n", - " 21r 0.0000000e+00 3.40e-02 1.28e-02 -0.0 6.37e-01 - 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 3.24e-02 3.34e+02 -2.1 7.76e-01 - 9.97e-01 7.64e-01f 1\n", - " 23r 0.0000000e+00 2.35e-02 2.73e+03 -2.1 6.25e+01 - 9.59e-01 4.76e-02f 1\n", - " 24r 0.0000000e+00 1.44e-02 3.26e+03 -2.1 4.80e+01 - 1.00e+00 5.91e-02f 1\n", - " 25r 0.0000000e+00 8.84e-03 3.34e+03 -2.1 3.66e+01 - 1.00e+00 7.44e-02f 1\n", - " 26r 0.0000000e+00 5.22e-03 2.67e+03 -2.1 3.36e+00 - 1.00e+00 2.51e-01f 1\n", - " 27r 0.0000000e+00 1.33e-04 1.46e+02 -2.1 1.20e+00 - 1.00e+00 9.57e-01f 1\n", - " 28r 0.0000000e+00 3.75e-06 9.90e-05 -2.1 4.82e-02 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 5.58e-07 1.72e+01 -4.8 1.54e-03 - 1.00e+00 9.69e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.11e-07 4.70e+01 -4.8 1.03e-04 - 1.00e+00 8.00e-01f 1\n", - " 31r 0.0000000e+00 3.44e-10 1.94e-09 -4.8 3.08e-05 - 1.00e+00 1.00e+00f 1\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.90e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 0.0000000e+00 1.65e+01 9.49e+01 -1.0 6.05e+01 - 1.18e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.43e-02 6.19e+01 -1.0 1.04e+01 - 8.15e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.60e-10 2.80e+02 -1.0 3.43e-02 - 9.92e-01 1.00e+00h 1\n", "\n", - "Number of Iterations....: 31\n", + "Number of Iterations....: 4\n", "\n", " (scaled) (unscaled)\n", "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.4428371264993984e-10 3.4428371264993984e-10\n", + "Constraint violation....: 1.6024159776861779e-10 1.6024159776861779e-10\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.4428371264993984e-10 3.4428371264993984e-10\n", + "Overall NLP error.......: 1.6024159776861779e-10 1.6024159776861779e-10\n", "\n", "\n", - "Number of objective function evaluations = 38\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 38\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 33\n", + "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 31\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.032\n", - "Total CPU secs in NLP function evaluations = 0.003\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.006\n", + "Total CPU secs in NLP function evaluations = 0.001\n", "\n", "EXIT: Optimal Solution Found.\n", "Ipopt 3.13.3: linear_solver=ma57\n", @@ -384,84 +354,49 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", "\n", - "Total number of variables............................: 869\n", + "Total number of variables............................: 861\n", " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", + " variables with lower and upper bounds: 88\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", + "Total number of equality constraints.................: 861\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.54e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.33e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", - " 6r 0.0000000e+00 6.27e+01 4.14e+04 2.1 1.36e+04 - 5.44e-03 1.68e-03f 1\n", - " 7r 0.0000000e+00 3.84e+01 3.83e+04 2.1 8.50e+03 - 2.64e-02 2.90e-03f 1\n", - " 8r 0.0000000e+00 1.24e+01 3.05e+04 2.1 2.05e+03 - 7.66e-02 1.57e-02f 1\n", - " 9r 0.0000000e+00 6.97e+00 2.50e+04 2.1 1.58e+02 - 8.01e-02 3.61e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.40e+00 1.91e+04 2.1 1.29e+02 - 8.70e-02 3.82e-02f 1\n", - " 11r 0.0000000e+00 4.11e+00 1.29e+04 2.1 1.12e+02 - 1.57e-01 7.15e-02f 1\n", - " 12r 0.0000000e+00 2.89e+00 1.25e+04 2.1 8.62e+01 - 2.25e-01 1.44e-01f 1\n", - " 13r 0.0000000e+00 2.46e+00 9.87e+03 2.1 4.46e+01 - 4.28e-01 1.92e-01f 1\n", - " 14r 0.0000000e+00 9.21e-01 5.40e+03 2.1 2.92e+01 - 7.43e-01 3.44e-01f 1\n", - " 15r 0.0000000e+00 2.51e-01 1.45e+03 1.4 3.32e+00 - 1.00e+00 6.61e-01f 1\n", - " 16r 0.0000000e+00 1.74e-01 7.37e+02 0.7 2.74e+00 - 1.00e+00 5.57e-01f 1\n", - " 17r 0.0000000e+00 6.93e-02 3.15e+02 0.7 5.50e+00 - 8.74e-01 7.50e-01f 1\n", - " 18r 0.0000000e+00 5.59e-02 1.74e+00 0.7 1.04e+00 - 1.00e+00 1.00e+00f 1\n", - " 19r 0.0000000e+00 5.48e-02 6.10e+02 -1.4 9.41e-01 - 9.96e-01 6.72e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.64e-02 2.02e+03 -1.4 3.26e+01 - 7.27e-01 1.10e-01f 1\n", - " 21r 0.0000000e+00 2.27e-02 2.60e+03 -1.4 2.21e+01 - 9.91e-01 1.74e-01f 1\n", - " 22r 0.0000000e+00 4.46e-03 1.93e+03 -1.4 1.56e+01 - 1.00e+00 3.49e-01f 1\n", - " 23r 0.0000000e+00 2.56e-03 1.96e+03 -1.4 3.25e+00 - 1.00e+00 1.33e-01f 1\n", - " 24r 0.0000000e+00 4.87e-04 5.26e+02 -1.4 7.95e-01 - 1.00e+00 7.74e-01f 1\n", - " 25r 0.0000000e+00 6.10e-05 1.10e+01 -1.4 1.80e-01 - 1.00e+00 9.94e-01f 1\n", - " 26r 0.0000000e+00 6.09e-05 8.65e-04 -1.4 1.08e-03 - 1.00e+00 1.00e+00f 1\n", - " 27r 0.0000000e+00 7.77e-06 2.32e+02 -4.8 2.32e-02 - 9.98e-01 8.88e-01f 1\n", - " 28r 0.0000000e+00 4.37e-06 3.78e+02 -4.8 7.18e-03 - 9.44e-01 4.45e-01f 1\n", - " 29r 0.0000000e+00 9.39e-08 5.80e+00 -4.8 4.74e-04 - 1.00e+00 9.85e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.41e-10 1.43e-09 -4.8 4.13e-05 - 1.00e+00 1.00e+00f 1\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 0.0000000e+00 1.65e+01 9.45e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.46e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.62e-10 2.78e+02 -1.0 3.44e-02 - 9.92e-01 1.00e+00h 1\n", "\n", - "Number of Iterations....: 30\n", + "Number of Iterations....: 4\n", "\n", " (scaled) (unscaled)\n", "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.4094149725660827e-10 3.4094149725660827e-10\n", + "Constraint violation....: 1.6205348174480605e-10 1.6205348174480605e-10\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.4094149725660827e-10 3.4094149725660827e-10\n", + "Overall NLP error.......: 1.6205348174480605e-10 1.6205348174480605e-10\n", "\n", "\n", - "Number of objective function evaluations = 37\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 37\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 32\n", + "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 30\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.029\n", - "Total CPU secs in NLP function evaluations = 0.003\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "EXIT: Optimal Solution Found.\n", "Ipopt 3.13.3: linear_solver=ma57\n", "halt_on_ampl_error=yes\n", "\n", @@ -474,80 +409,55 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", "\n", - "Total number of variables............................: 869\n", + "Total number of variables............................: 861\n", " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", + " variables with lower and upper bounds: 88\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", + "Total number of equality constraints.................: 861\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.23e+02 2.39e+01 -1.0 1.97e+02 - 1.49e-02 3.77e-01f 1\n", - " 2 0.0000000e+00 1.16e+02 2.27e+01 -1.0 1.23e+02 - 1.57e-01 5.23e-02h 1\n", - " 3 0.0000000e+00 1.16e+02 3.91e+03 -1.0 1.16e+02 - 2.58e-01 7.64e-04h 1\n", - " 4r 0.0000000e+00 1.16e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 4.80e-07R 5\n", - " 5r 0.0000000e+00 8.33e+01 4.30e+04 2.1 2.03e+04 - 8.58e-03 2.34e-03f 1\n", - " 6r 0.0000000e+00 6.53e+01 4.36e+04 2.1 1.36e+04 - 6.25e-03 1.47e-03f 1\n", - " 7r 0.0000000e+00 3.41e+01 4.16e+04 2.1 8.41e+03 - 1.95e-02 3.77e-03f 1\n", - " 8r 0.0000000e+00 1.19e+01 3.29e+04 2.1 2.07e+03 - 7.57e-02 1.63e-02f 1\n", - " 9r 0.0000000e+00 8.81e+00 3.05e+04 2.1 1.52e+02 - 5.15e-02 2.07e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.72e+00 2.45e+04 2.1 1.38e+02 - 8.37e-02 4.25e-02f 1\n", - " 11r 0.0000000e+00 4.09e+00 1.28e+04 2.1 1.15e+02 - 1.64e-01 6.13e-02f 1\n", - " 12r 0.0000000e+00 2.79e+00 1.24e+04 2.1 9.07e+01 - 1.96e-01 1.27e-01f 1\n", - " 13r 0.0000000e+00 2.67e+00 1.07e+04 2.1 5.22e+01 - 3.45e-01 1.97e-01f 1\n", - " 14r 0.0000000e+00 8.70e-01 9.02e+03 2.1 3.32e+01 - 8.86e-01 3.28e-01f 1\n", - " 15r 0.0000000e+00 3.89e-01 5.44e+03 2.1 2.28e+00 - 4.72e-01 5.88e-01f 1\n", - " 16r 0.0000000e+00 2.35e-01 8.84e+02 1.4 1.99e+00 - 1.00e+00 8.68e-01f 1\n", - " 17r 0.0000000e+00 1.90e-01 1.03e+03 0.7 2.08e+00 - 1.00e+00 5.54e-01f 1\n", - " 18r 0.0000000e+00 7.22e-02 2.00e+02 0.7 5.39e+00 - 7.22e-01 8.40e-01f 1\n", - " 19r 0.0000000e+00 4.83e-02 5.63e+02 -0.0 1.14e+00 - 1.00e+00 7.45e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 5.00e-02 2.03e+03 -0.0 5.31e+00 - 1.00e+00 2.06e-01f 1\n", - " 21r 0.0000000e+00 3.42e-02 3.60e+02 -0.0 3.08e+00 - 1.00e+00 7.97e-01f 1\n", - " 22r 0.0000000e+00 3.30e-02 7.85e-03 -0.0 6.46e-01 - 1.00e+00 1.00e+00f 1\n", - " 23r 0.0000000e+00 3.22e-02 3.13e+02 -2.1 7.40e-01 - 9.88e-01 7.65e-01f 1\n", - " 24r 0.0000000e+00 2.29e-02 2.62e+03 -2.1 6.10e+01 - 9.59e-01 5.21e-02f 1\n", - " 25r 0.0000000e+00 1.21e-02 3.18e+03 -2.1 4.60e+01 - 1.00e+00 6.36e-02f 1\n", - " 26r 0.0000000e+00 7.65e-03 3.30e+03 -2.1 3.59e+01 - 1.00e+00 7.59e-02f 1\n", - " 27r 0.0000000e+00 5.20e-03 3.44e+03 -2.1 2.51e+00 - 1.00e+00 2.23e-01f 1\n", - " 28r 0.0000000e+00 7.82e-05 1.16e+02 -2.1 1.17e+00 - 1.00e+00 9.73e-01f 1\n", - " 29r 0.0000000e+00 3.82e-06 2.38e-05 -2.1 2.87e-02 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.32e-07 1.20e+01 -4.8 1.57e-03 - 1.00e+00 9.75e-01f 1\n", - " 31r 0.0000000e+00 8.38e-08 4.63e+01 -4.8 8.46e-05 - 1.00e+00 8.06e-01f 1\n", - " 32r 0.0000000e+00 3.43e-10 1.74e-09 -4.8 2.56e-05 - 1.00e+00 1.00e+00f 1\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.78e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 0.0000000e+00 1.68e+01 9.36e+01 -1.0 5.91e+01 - 1.19e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.59e-02 6.35e+01 -1.0 1.04e+01 - 8.10e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.63e-10 2.81e+02 -1.0 3.47e-02 - 9.91e-01 1.00e+00h 1\n", "\n", - "Number of Iterations....: 32\n", + "Number of Iterations....: 4\n", "\n", " (scaled) (unscaled)\n", "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.4253311298471090e-10 3.4253311298471090e-10\n", + "Constraint violation....: 1.6321521911777381e-10 1.6321521911777381e-10\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.4253311298471090e-10 3.4253311298471090e-10\n", + "Overall NLP error.......: 1.6321521911777381e-10 1.6321521911777381e-10\n", "\n", "\n", - "Number of objective function evaluations = 38\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 38\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 34\n", + "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 32\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.031\n", - "Total CPU secs in NLP function evaluations = 0.003\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.006\n", + "Total CPU secs in NLP function evaluations = 0.000\n", "\n", - "EXIT: Optimal Solution Found.\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Ipopt 3.13.3: linear_solver=ma57\n", "halt_on_ampl_error=yes\n", "\n", @@ -560,82 +470,49 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", "\n", - "Total number of variables............................: 869\n", + "Total number of variables............................: 861\n", " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", + " variables with lower and upper bounds: 88\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", + "Total number of equality constraints.................: 861\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.56e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.48e+03 -1.0 1.17e+02 - 2.61e-01 8.71e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.29e+01 4.10e+04 2.1 2.03e+04 - 8.62e-03 2.38e-03f 1\n", - " 6r 0.0000000e+00 6.22e+01 4.08e+04 2.1 1.36e+04 - 6.35e-03 1.68e-03f 1\n", - " 7r 0.0000000e+00 3.65e+01 3.80e+04 2.1 8.11e+03 - 2.41e-02 3.21e-03f 1\n", - " 8r 0.0000000e+00 1.22e+01 2.97e+04 2.1 1.99e+03 - 7.54e-02 1.64e-02f 1\n", - " 9r 0.0000000e+00 7.28e+00 2.30e+04 2.1 1.58e+02 - 9.77e-02 3.28e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.29e+00 1.86e+04 2.1 1.30e+02 - 7.70e-02 4.38e-02f 1\n", - " 11r 0.0000000e+00 4.01e+00 1.39e+04 2.1 1.11e+02 - 1.97e-01 7.24e-02f 1\n", - " 12r 0.0000000e+00 2.84e+00 1.29e+04 2.1 8.27e+01 - 2.26e-01 1.51e-01f 1\n", - " 13r 0.0000000e+00 2.26e+00 9.06e+03 2.1 4.30e+01 - 4.92e-01 2.02e-01f 1\n", - " 14r 0.0000000e+00 9.27e-01 5.82e+03 2.1 2.58e+01 - 7.00e-01 3.52e-01f 1\n", - " 15r 0.0000000e+00 2.34e-01 8.52e+02 1.4 3.46e+00 - 1.00e+00 6.79e-01f 1\n", - " 16r 0.0000000e+00 1.79e-01 7.37e+02 0.7 2.67e+00 - 1.00e+00 5.68e-01f 1\n", - " 17r 0.0000000e+00 7.79e-02 3.48e+02 0.7 5.53e+00 - 9.03e-01 7.66e-01f 1\n", - " 18r 0.0000000e+00 5.13e-02 1.50e+00 0.7 1.17e+00 - 1.00e+00 1.00e+00f 1\n", - " 19r 0.0000000e+00 5.00e-02 5.45e+02 -1.4 9.05e-01 - 9.96e-01 6.93e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 4.31e-02 2.68e+03 -1.4 3.42e+01 - 8.89e-01 6.73e-02f 1\n", - " 21r 0.0000000e+00 1.86e-02 2.49e+03 -1.4 2.22e+01 - 1.00e+00 2.61e-01f 1\n", - " 22r 0.0000000e+00 2.71e-03 1.89e+03 -1.4 1.36e+01 - 1.00e+00 3.26e-01f 1\n", - " 23r 0.0000000e+00 2.25e-03 1.89e+03 -1.4 1.98e+00 - 1.00e+00 1.69e-01f 1\n", - " 24r 0.0000000e+00 3.01e-04 2.73e+02 -1.4 8.46e-01 - 1.00e+00 8.79e-01f 1\n", - " 25r 0.0000000e+00 6.32e-05 6.06e-04 -1.4 1.02e-01 - 1.00e+00 1.00e+00f 1\n", - " 26r 0.0000000e+00 1.67e-05 8.98e+02 -3.2 2.39e-02 - 1.00e+00 7.86e-01f 1\n", - " 27r 0.0000000e+00 8.79e-06 7.39e+02 -3.2 1.39e-02 - 9.85e-01 4.78e-01f 1\n", - " 28r 0.0000000e+00 7.22e-08 2.25e-05 -3.2 1.07e-03 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 4.32e-09 4.06e-01 -7.2 2.48e-05 - 1.00e+00 9.97e-01f 1\n", - "\n", - "Number of Iterations....: 29\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 0.0000000e+00 1.64e+01 1.00e+02 -1.0 5.99e+01 - 1.15e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.40e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.62e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 4\n", "\n", " (scaled) (unscaled)\n", "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.6829678760392014e-09 4.3230815973457210e-09\n", + "Constraint violation....: 1.6184387163775682e-10 1.6184387163775682e-10\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.6829678760392014e-09 4.3230815973457210e-09\n", + "Overall NLP error.......: 1.6184387163775682e-10 1.6184387163775682e-10\n", "\n", "\n", - "Number of objective function evaluations = 36\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 36\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 31\n", + "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 29\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.027\n", - "Total CPU secs in NLP function evaluations = 0.002\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "EXIT: Optimal Solution Found.\n", "Ipopt 3.13.3: linear_solver=ma57\n", "halt_on_ampl_error=yes\n", "\n", @@ -648,76 +525,47 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", "\n", - "Total number of variables............................: 869\n", + "Total number of variables............................: 861\n", " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", + " variables with lower and upper bounds: 88\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", + "Total number of equality constraints.................: 861\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.23e+02 2.38e+01 -1.0 1.97e+02 - 1.49e-02 3.74e-01f 1\n", - " 2 0.0000000e+00 1.16e+02 2.25e+01 -1.0 1.23e+02 - 1.57e-01 5.58e-02h 1\n", - " 3 0.0000000e+00 1.16e+02 3.64e+03 -1.0 1.16e+02 - 2.62e-01 8.38e-04h 1\n", - " 4r 0.0000000e+00 1.16e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.63e-07R 6\n", - " 5r 0.0000000e+00 8.29e+01 4.19e+04 2.1 2.04e+04 - 8.62e-03 2.36e-03f 1\n", - " 6r 0.0000000e+00 6.32e+01 4.20e+04 2.1 1.36e+04 - 5.94e-03 1.61e-03f 1\n", - " 7r 0.0000000e+00 3.62e+01 3.92e+04 2.1 8.35e+03 - 2.43e-02 3.27e-03f 1\n", - " 8r 0.0000000e+00 1.22e+01 3.08e+04 2.1 2.03e+03 - 7.90e-02 1.58e-02f 1\n", - " 9r 0.0000000e+00 6.94e+00 2.56e+04 2.1 1.57e+02 - 8.29e-02 3.59e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.29e+00 1.98e+04 2.1 1.29e+02 - 8.38e-02 3.92e-02f 1\n", - " 11r 0.0000000e+00 4.00e+00 1.33e+04 2.1 1.11e+02 - 1.71e-01 7.34e-02f 1\n", - " 12r 0.0000000e+00 2.87e+00 1.28e+04 2.1 8.44e+01 - 2.29e-01 1.45e-01f 1\n", - " 13r 0.0000000e+00 2.38e+00 9.89e+03 2.1 4.36e+01 - 4.47e-01 1.93e-01f 1\n", - " 14r 0.0000000e+00 9.21e-01 4.20e+03 2.1 2.82e+01 - 6.84e-01 3.45e-01f 1\n", - " 15r 0.0000000e+00 2.61e-01 1.33e+03 1.4 3.47e+00 - 1.00e+00 6.40e-01f 1\n", - " 16r 0.0000000e+00 1.72e-01 7.02e+02 0.7 2.77e+00 - 1.00e+00 5.62e-01f 1\n", - " 17r 0.0000000e+00 7.16e-02 3.95e+02 0.7 5.53e+00 - 9.03e-01 7.42e-01f 1\n", - " 18r 0.0000000e+00 5.44e-02 1.94e+00 0.7 1.13e+00 - 1.00e+00 1.00e+00f 1\n", - " 19r 0.0000000e+00 5.33e-02 6.41e+02 -1.4 9.39e-01 - 9.96e-01 6.65e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.80e-02 2.34e+03 -1.4 3.28e+01 - 8.24e-01 9.89e-02f 1\n", - " 21r 0.0000000e+00 2.49e-02 2.72e+03 -1.4 2.20e+01 - 1.00e+00 1.57e-01f 1\n", - " 22r 0.0000000e+00 4.30e-03 1.88e+03 -1.4 1.59e+01 - 1.00e+00 3.74e-01f 1\n", - " 23r 0.0000000e+00 2.46e-03 1.94e+03 -1.4 3.01e+00 - 1.00e+00 1.32e-01f 1\n", - " 24r 0.0000000e+00 5.12e-04 5.03e+02 -1.4 9.25e-01 - 1.00e+00 7.81e-01f 1\n", - " 25r 0.0000000e+00 5.96e-05 4.59e-01 -1.4 2.02e-01 - 1.00e+00 1.00e+00f 1\n", - " 26r 0.0000000e+00 1.84e-05 1.76e+00 -2.1 1.91e-02 - 1.00e+00 1.00e+00f 1\n", - " 27r 0.0000000e+00 1.61e-06 2.19e-05 -2.1 4.46e-03 - 1.00e+00 1.00e+00f 1\n", - " 28r 0.0000000e+00 5.06e-07 1.84e+01 -4.8 6.91e-04 - 1.00e+00 9.70e-01f 1\n", - " 29r 0.0000000e+00 8.01e-08 3.68e+01 -4.8 5.27e-05 - 1.00e+00 8.42e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.33e-10 1.65e-09 -4.8 2.90e-05 - 1.00e+00 1.00e+00f 1\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.79e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 0.0000000e+00 1.64e+01 9.42e+01 -1.0 5.93e+01 - 1.19e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.40e-02 5.73e+01 -1.0 1.02e+01 - 8.29e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.59e-10 2.76e+02 -1.0 3.40e-02 - 9.92e-01 1.00e+00h 1\n", "\n", - "Number of Iterations....: 30\n", + "Number of Iterations....: 4\n", "\n", " (scaled) (unscaled)\n", "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.3322411496783388e-10 3.3322411496783388e-10\n", + "Constraint violation....: 1.5922552165648085e-10 1.5922552165648085e-10\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.3322411496783388e-10 3.3322411496783388e-10\n", + "Overall NLP error.......: 1.5922552165648085e-10 1.5922552165648085e-10\n", "\n", "\n", - "Number of objective function evaluations = 37\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 37\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 32\n", + "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 30\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.028\n", - "Total CPU secs in NLP function evaluations = 0.002\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", "\n", "EXIT: Optimal Solution Found.\n", "Ipopt 3.13.3: linear_solver=ma57\n", @@ -732,77 +580,47 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", "\n", - "Total number of variables............................: 869\n", + "Total number of variables............................: 861\n", " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", + " variables with lower and upper bounds: 88\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", + "Total number of equality constraints.................: 861\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.57e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.53e+03 -1.0 1.17e+02 - 2.63e-01 8.71e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.32e+01 4.15e+04 2.1 2.04e+04 - 8.64e-03 2.36e-03f 1\n", - " 6r 0.0000000e+00 6.26e+01 4.14e+04 2.1 1.36e+04 - 5.61e-03 1.67e-03f 1\n", - " 7r 0.0000000e+00 3.71e+01 3.84e+04 2.1 8.43e+03 - 2.54e-02 3.07e-03f 1\n", - " 8r 0.0000000e+00 1.23e+01 3.03e+04 2.1 2.03e+03 - 7.76e-02 1.59e-02f 1\n", - " 9r 0.0000000e+00 6.92e+00 2.51e+04 2.1 1.57e+02 - 7.83e-02 3.61e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.32e+00 1.91e+04 2.1 1.29e+02 - 8.69e-02 3.81e-02f 1\n", - " 11r 0.0000000e+00 4.03e+00 1.31e+04 2.1 1.12e+02 - 1.66e-01 7.24e-02f 1\n", - " 12r 0.0000000e+00 2.87e+00 1.26e+04 2.1 8.55e+01 - 2.28e-01 1.45e-01f 1\n", - " 13r 0.0000000e+00 2.40e+00 9.66e+03 2.1 4.43e+01 - 4.38e-01 1.94e-01f 1\n", - " 14r 0.0000000e+00 9.15e-01 6.52e+03 2.1 2.85e+01 - 7.60e-01 3.43e-01f 1\n", - " 15r 0.0000000e+00 2.41e-01 1.33e+03 1.4 3.29e+00 - 1.00e+00 6.75e-01f 1\n", - " 16r 0.0000000e+00 1.76e-01 7.44e+02 0.7 2.67e+00 - 1.00e+00 5.62e-01f 1\n", - " 17r 0.0000000e+00 7.24e-02 2.85e+02 0.7 5.48e+00 - 8.68e-01 7.61e-01f 1\n", - " 18r 0.0000000e+00 4.96e-02 9.29e+02 -0.0 1.27e+00 - 9.85e-01 6.55e-01f 1\n", - " 19r 0.0000000e+00 5.07e-02 2.25e+03 -0.0 5.28e+00 - 1.00e+00 2.45e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.43e-02 4.75e+02 -0.0 3.17e+00 - 1.00e+00 8.10e-01f 1\n", - " 21r 0.0000000e+00 3.32e-02 1.48e-02 -0.0 6.52e-01 - 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 3.16e-02 3.32e+02 -2.1 7.64e-01 - 9.93e-01 7.63e-01f 1\n", - " 23r 0.0000000e+00 2.24e-02 2.65e+03 -2.1 6.18e+01 - 9.58e-01 4.92e-02f 1\n", - " 24r 0.0000000e+00 1.30e-02 3.20e+03 -2.1 4.72e+01 - 1.00e+00 6.22e-02f 1\n", - " 25r 0.0000000e+00 8.26e-03 3.31e+03 -2.1 3.58e+01 - 1.00e+00 7.31e-02f 1\n", - " 26r 0.0000000e+00 5.11e-03 2.72e+03 -2.1 2.86e+00 - 1.00e+00 2.53e-01f 1\n", - " 27r 0.0000000e+00 1.00e-04 1.26e+02 -2.1 1.15e+00 - 1.00e+00 9.66e-01f 1\n", - " 28r 0.0000000e+00 3.73e-06 7.35e-05 -2.1 3.63e-02 - 1.00e+00 1.00e+00f 1\n", - " 29r 0.0000000e+00 5.04e-07 1.50e+01 -4.8 1.54e-03 - 1.00e+00 9.71e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 9.76e-08 4.50e+01 -4.8 9.54e-05 - 1.00e+00 8.06e-01f 1\n", - " 31r 0.0000000e+00 3.37e-10 1.83e-09 -4.8 2.90e-05 - 1.00e+00 1.00e+00f 1\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 0.0000000e+00 1.64e+01 9.46e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.36e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.57e-10 2.78e+02 -1.0 3.39e-02 - 9.92e-01 1.00e+00h 1\n", "\n", - "Number of Iterations....: 31\n", + "Number of Iterations....: 4\n", "\n", " (scaled) (unscaled)\n", "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.3720315428809045e-10 3.3720315428809045e-10\n", + "Constraint violation....: 1.5741719039397140e-10 1.5741719039397140e-10\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.3720315428809045e-10 3.3720315428809045e-10\n", + "Overall NLP error.......: 1.5741719039397140e-10 1.5741719039397140e-10\n", "\n", "\n", - "Number of objective function evaluations = 38\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 38\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 33\n", + "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 31\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.030\n", - "Total CPU secs in NLP function evaluations = 0.003\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -823,77 +641,47 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", "\n", - "Total number of variables............................: 869\n", + "Total number of variables............................: 861\n", " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", + " variables with lower and upper bounds: 88\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", + "Total number of equality constraints.................: 861\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.34e+01 -1.0 1.97e+02 - 1.49e-02 3.68e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.20e+01 -1.0 1.24e+02 - 1.58e-01 6.28e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.20e+03 -1.0 1.17e+02 - 2.69e-01 1.00e-03h 1\n", - " 4 0.0000000e+00 1.17e+02 1.51e+08 -1.0 1.17e+02 - 4.80e-01 1.01e-05h 1\n", - " 5r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 5.05e-08R 2\n", - " 6r 0.0000000e+00 8.19e+01 3.66e+04 2.1 2.08e+04 - 8.46e-03 2.44e-03f 1\n", - " 7r 0.0000000e+00 5.73e+01 3.64e+04 2.1 1.37e+04 - 5.07e-03 1.98e-03f 1\n", - " 8r 0.0000000e+00 4.88e+01 3.29e+04 2.1 8.27e+03 - 2.52e-02 1.03e-03f 1\n", - " 9r 0.0000000e+00 1.24e+01 3.19e+04 2.1 2.39e+03 - 2.08e-02 1.64e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.73e+00 2.79e+04 2.1 2.90e+02 - 5.34e-02 3.04e-02f 1\n", - " 11r 0.0000000e+00 4.60e+00 1.88e+04 2.1 1.36e+02 - 1.03e-01 2.94e-02f 1\n", - " 12r 0.0000000e+00 3.49e+00 1.01e+04 2.1 1.16e+02 - 1.43e-01 5.84e-02f 1\n", - " 13r 0.0000000e+00 2.60e+00 1.04e+04 2.1 9.32e+01 - 2.30e-01 1.03e-01f 1\n", - " 14r 0.0000000e+00 2.25e+00 8.25e+03 2.1 5.90e+01 - 3.24e-01 2.43e-01f 1\n", - " 15r 0.0000000e+00 6.15e-01 4.14e+03 2.1 2.89e+01 - 7.20e-01 3.48e-01f 1\n", - " 16r 0.0000000e+00 2.27e-01 1.10e+03 1.4 2.76e+00 - 1.00e+00 7.15e-01f 1\n", - " 17r 0.0000000e+00 1.75e-01 1.03e+03 0.7 2.15e+00 - 9.99e-01 5.31e-01f 1\n", - " 18r 0.0000000e+00 7.20e-02 4.30e+02 0.7 5.47e+00 - 8.58e-01 7.16e-01f 1\n", - " 19r 0.0000000e+00 5.78e-02 1.77e+00 0.7 1.23e+00 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 5.61e-02 6.13e+02 -1.4 9.49e-01 - 9.97e-01 6.75e-01f 1\n", - " 21r 0.0000000e+00 3.13e-02 1.85e+03 -1.4 3.19e+01 - 6.85e-01 1.37e-01f 1\n", - " 22r 0.0000000e+00 2.09e-02 2.62e+03 -1.4 2.16e+01 - 9.79e-01 1.57e-01f 1\n", - " 23r 0.0000000e+00 1.66e-02 2.81e+03 -1.4 1.60e+01 - 1.00e+00 8.91e-02f 1\n", - " 24r 0.0000000e+00 5.81e-03 2.05e+03 -1.4 1.17e+01 - 1.00e+00 3.22e-01f 1\n", - " 25r 0.0000000e+00 1.26e-03 8.81e+02 -1.4 2.32e+00 - 1.00e+00 6.17e-01f 1\n", - " 26r 0.0000000e+00 7.26e-05 5.59e+01 -1.4 4.79e-01 - 1.00e+00 9.66e-01f 1\n", - " 27r 0.0000000e+00 6.15e-05 1.12e-03 -1.4 1.61e-02 - 1.00e+00 1.00e+00f 1\n", - " 28r 0.0000000e+00 8.94e-06 3.69e+02 -4.8 2.22e-02 - 9.98e-01 8.63e-01f 1\n", - " 29r 0.0000000e+00 5.12e-06 6.63e+02 -4.8 8.18e-03 - 9.13e-01 4.42e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.83e-07 2.11e+01 -4.8 4.61e-04 - 1.00e+00 9.68e-01f 1\n", - " 31r 0.0000000e+00 3.43e-10 1.23e-08 -4.8 8.24e-05 - 1.00e+00 1.00e+00f 1\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.92e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 0.0000000e+00 1.62e+01 9.54e+01 -1.0 6.06e+01 - 1.18e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.23e-02 5.52e+01 -1.0 1.02e+01 - 8.35e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.56e-10 2.74e+02 -1.0 3.36e-02 - 9.92e-01 1.00e+00h 1\n", "\n", - "Number of Iterations....: 31\n", + "Number of Iterations....: 4\n", "\n", " (scaled) (unscaled)\n", "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.4291769424044105e-10 3.4291769424044105e-10\n", + "Constraint violation....: 1.5615597703799722e-10 1.5615597703799722e-10\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.4291769424044105e-10 3.4291769424044105e-10\n", + "Overall NLP error.......: 1.5615597703799722e-10 1.5615597703799722e-10\n", "\n", "\n", - "Number of objective function evaluations = 34\n", - "Number of objective gradient evaluations = 7\n", - "Number of equality constraint evaluations = 34\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 33\n", + "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 31\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.031\n", - "Total CPU secs in NLP function evaluations = 0.003\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.006\n", + "Total CPU secs in NLP function evaluations = 0.000\n", "\n", "EXIT: Optimal Solution Found.\n", "Ipopt 3.13.3: linear_solver=ma57\n", @@ -908,99 +696,64 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in equality constraint Jacobian...: 2955\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", "\n", - "Total number of variables............................: 869\n", + "Total number of variables............................: 861\n", " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 96\n", + " variables with lower and upper bounds: 88\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 869\n", + "Total number of equality constraints.................: 861\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.97e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (26225)\n", - " 1 0.0000000e+00 1.24e+02 2.36e+01 -1.0 1.97e+02 - 1.49e-02 3.72e-01f 1\n", - " 2 0.0000000e+00 1.17e+02 2.23e+01 -1.0 1.24e+02 - 1.59e-01 5.73e-02h 1\n", - " 3 0.0000000e+00 1.17e+02 3.59e+03 -1.0 1.17e+02 - 2.65e-01 8.71e-04h 1\n", - " 4r 0.0000000e+00 1.17e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 2.74e-07R 6\n", - " 5r 0.0000000e+00 8.36e+01 4.20e+04 2.1 2.05e+04 - 8.66e-03 2.35e-03f 1\n", - " 6r 0.0000000e+00 6.31e+01 4.20e+04 2.1 1.36e+04 - 5.26e-03 1.67e-03f 1\n", - " 7r 0.0000000e+00 3.87e+01 3.94e+04 2.1 8.61e+03 - 2.26e-02 2.87e-03f 1\n", - " 8r 0.0000000e+00 1.22e+01 3.18e+04 2.1 2.17e+03 - 7.14e-02 1.55e-02f 1\n", - " 9r 0.0000000e+00 6.63e+00 2.76e+04 2.1 1.55e+02 - 6.65e-02 3.60e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.18e+00 2.06e+04 2.1 1.29e+02 - 9.02e-02 3.49e-02f 1\n", - " 11r 0.0000000e+00 3.94e+00 1.30e+04 2.1 1.12e+02 - 1.62e-01 6.82e-02f 1\n", - " 12r 0.0000000e+00 2.72e+00 1.26e+04 2.1 8.73e+01 - 2.29e-01 1.48e-01f 1\n", - " 13r 0.0000000e+00 2.39e+00 9.96e+03 2.1 4.52e+01 - 4.24e-01 1.98e-01f 1\n", - " 14r 0.0000000e+00 8.49e-01 3.94e+03 2.1 2.89e+01 - 6.40e-01 3.39e-01f 1\n", - " 15r 0.0000000e+00 2.40e-01 1.29e+03 1.4 3.36e+00 - 1.00e+00 6.29e-01f 1\n", - " 16r 0.0000000e+00 1.65e-01 7.63e+02 0.7 2.71e+00 - 1.00e+00 5.48e-01f 1\n", - " 17r 0.0000000e+00 6.36e-02 4.43e+02 0.7 5.52e+00 - 9.09e-01 7.27e-01f 1\n", - " 18r 0.0000000e+00 5.80e-02 1.99e+00 0.7 9.84e-01 - 1.00e+00 1.00e+00f 1\n", - " 19r 0.0000000e+00 5.68e-02 6.88e+02 -1.4 9.69e-01 - 9.96e-01 6.50e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.17e-02 1.64e+03 -1.4 3.20e+01 - 6.25e-01 1.37e-01f 1\n", - " 21r 0.0000000e+00 2.11e-02 2.51e+03 -1.4 2.19e+01 - 9.63e-01 1.55e-01f 1\n", - " 22r 0.0000000e+00 1.63e-02 2.67e+03 -1.4 1.64e+01 - 1.00e+00 9.61e-02f 1\n", - " 23r 0.0000000e+00 4.92e-03 1.97e+03 -1.4 1.19e+01 - 1.00e+00 3.15e-01f 1\n", - " 24r 0.0000000e+00 1.50e-03 1.03e+03 -1.4 2.36e+00 - 1.00e+00 5.33e-01f 1\n", - " 25r 0.0000000e+00 1.19e-04 9.86e+01 -1.4 5.77e-01 - 1.00e+00 9.39e-01f 1\n", - " 26r 0.0000000e+00 6.34e-05 1.15e-03 -1.4 3.49e-02 - 1.00e+00 1.00e+00f 1\n", - " 27r 0.0000000e+00 9.81e-06 3.61e+02 -4.8 2.24e-02 - 9.98e-01 8.66e-01f 1\n", - " 28r 0.0000000e+00 5.65e-06 4.60e+02 -4.8 8.09e-03 - 9.25e-01 4.33e-01f 1\n", - " 29r 0.0000000e+00 1.57e-07 1.23e+01 -4.8 4.47e-04 - 1.00e+00 9.73e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.48e-10 6.58e-09 -4.8 7.06e-05 - 1.00e+00 1.00e+00f 1\n", + " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (25018)\n", + " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 0.0000000e+00 1.65e+01 8.86e+01 -1.0 5.99e+01 - 1.21e-01 9.90e-01h 1\n", + " 3 0.0000000e+00 6.41e-02 5.95e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", + " 4 0.0000000e+00 1.57e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", "\n", - "Number of Iterations....: 30\n", + "Number of Iterations....: 4\n", "\n", " (scaled) (unscaled)\n", "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.4806380000418358e-10 3.4806380000418358e-10\n", + "Constraint violation....: 1.5718981671852816e-10 1.5718981671852816e-10\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.4806380000418358e-10 3.4806380000418358e-10\n", + "Overall NLP error.......: 1.5718981671852816e-10 1.5718981671852816e-10\n", "\n", "\n", - "Number of objective function evaluations = 37\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 37\n", + "Number of objective function evaluations = 5\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 5\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 32\n", + "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 30\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.029\n", - "Total CPU secs in NLP function evaluations = 0.003\n", + "Number of Lagrangian Hessian evaluations = 4\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.006\n", + "Total CPU secs in NLP function evaluations = 0.000\n", "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.4369690418243408 s.\n", - "Existed information has been added.\n", - "FIM: [[ 34.82920486 8.98505797 -93.24108544 -36.95313311]\n", - " [ 8.98505797 34.72118757 -19.10100722 -169.32073026]\n", - " [ -93.24108544 -19.10100722 261.98208841 82.94992731]\n", - " [ -36.95313311 -169.32073026 82.94992731 876.11924893]]\n", - "Trace: 1207.6517297594096\n", - "Determinant: 561034.454057873\n", - "Condition number: 1016.4074033638327\n", - "Minimal eigen value: 0.9078292004202301\n", - "Eigen values: [9.22724320e+02 2.81641554e+02 9.07829200e-01 2.37802648e+00]\n", - "Eigen vectors: [[ 0.05653415 -0.32984125 -0.77053642 0.54247789]\n", - " [ 0.1886356 0.01601807 0.56991922 0.79959497]\n", - " [-0.13533499 0.93253119 -0.2662067 0.20298772]\n", - " [-0.97103292 -0.14606077 0.10295482 0.15862413]]\n" + "EXIT: Optimal Solution Found.\n", + "This run takes wall clock time: 1.209704875946045 s.\n", + "Existed information has been added.\n", + "FIM: [[ 17.66735032 18.7480602 -30.08263104 -76.6066237 ]\n", + " [ 18.7480602 30.76320467 -30.03050295 -124.70431051]\n", + " [ -30.08263104 -30.03050295 52.03394099 123.23421143]\n", + " [ -76.6066237 -124.70431051 123.23421143 512.96345747]]\n", + "Trace: 613.4279534435012\n", + "Determinant: 660.3583515770521\n", + "Condition number: 6031.620557408929\n", + "Minimal eigen value: 0.0972298400179123\n", + "Eigen values: [5.86453502e+02 2.64391974e+01 9.72298400e-02 4.38024348e-01]\n", + "Eigen vectors: [[ 0.14570503 0.44040225 0.86466319 0.19280423]\n", + " [ 0.22716472 -0.06223616 -0.21777828 0.94715124]\n", + " [-0.23621986 -0.85406237 0.4515386 0.10435773]\n", + " [-0.93347009 0.26972204 -0.03229685 0.23418053]]\n" ] } ], @@ -1023,7 +776,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 10, "id": "64fc6da4", "metadata": {}, "outputs": [ @@ -1033,10 +786,10 @@ "text": [ "======Result summary======\n", "Four design criteria log10() value:\n", - "A-optimality: 3.081941707752758\n", - "D-optimality: 5.748989532820771\n", - "E-optimality: -0.04199585224152744\n", - "Modified E-optimality: 3.0070678197277516\n" + "A-optimality: 2.787763562565366\n", + "D-optimality: 2.8197796747502895\n", + "E-optimality: -1.0122004288361668\n", + "Modified E-optimality: 3.7804340127346014\n" ] } ], @@ -1124,7 +877,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 11, "id": "wicked-raising", "metadata": { "scrolled": true @@ -1147,480 +900,173 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 24280\n", + "Number of nonzeros in equality constraint Jacobian...: 24144\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 1930\n", + "Number of nonzeros in Lagrangian Hessian.............: 1922\n", "\n", - "Total number of variables............................: 6414\n", + "Total number of variables............................: 6406\n", " variables with only lower bounds: 2316\n", - " variables with lower and upper bounds: 96\n", + " variables with lower and upper bounds: 88\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6414\n", + "Total number of equality constraints.................: 6406\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 7.66e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (288851)\n", - " 1 -2.4685502e+01 2.35e+04 6.11e+04 -1.0 7.66e+02 - 2.58e-03 3.72e-01f 1\n", - " 2 -2.4586020e+01 2.22e+04 5.77e+04 -1.0 7.93e+02 - 1.57e-01 5.78e-02h 1\n", - " 3 -2.4584439e+01 2.21e+04 5.76e+04 -1.0 6.38e+02 - 2.59e-01 8.83e-04h 1\n", - " 4r-2.4584439e+01 2.21e+04 1.00e+03 4.3 0.00e+00 - 0.00e+00 2.78e-07R 6\n", - " 5r-2.2865595e+01 6.18e+03 3.40e+04 4.3 1.70e+07 - 1.70e-05 1.29e-03f 1\n", - " 6r-2.1815237e+01 2.41e+03 5.41e+07 2.2 3.53e+01 6.0 8.58e-01 1.00e+00f 1\n", - " 7r-1.4024175e+01 2.38e+03 7.18e+06 2.2 2.63e+01 5.5 8.54e-01 1.00e+00f 1\n", - " 8r-1.3886775e+01 2.38e+03 6.90e+06 2.2 2.48e+01 5.0 9.15e-01 4.09e-02f 1\n", - " 9r-1.2150629e+01 2.39e+03 7.41e+06 2.2 3.58e+01 4.6 6.34e-01 5.46e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r-1.2121550e+01 2.39e+03 7.34e+06 2.2 2.08e+01 5.0 1.00e+00 9.12e-03f 1\n", - " 11r-1.1911777e+01 2.39e+03 6.64e+06 2.2 2.52e+01 4.5 9.49e-01 1.08e-01f 1\n", - " 12r-1.1876678e+01 2.39e+03 6.56e+06 2.2 2.08e+01 4.9 1.00e+00 1.15e-02f 1\n", - " 13r-8.2517784e+00 2.39e+03 6.97e+06 2.2 2.45e+01 4.5 8.92e-01 1.00e+00f 1\n", - " 14r-6.9879319e+00 2.39e+03 6.81e+05 2.2 5.48e+00 4.9 1.00e+00 1.00e+00f 1\n", - " 15r-7.8638840e+00 2.39e+03 1.27e+05 2.2 9.54e-01 4.4 1.00e+00 1.00e+00f 1\n", - " 16r-9.1669199e+00 2.39e+03 1.36e+03 2.2 1.56e-01 3.9 1.00e+00 1.00e+00f 1\n", - " 17r-1.0093346e+01 2.39e+03 1.25e+03 1.5 4.34e-01 3.5 1.00e+00 1.00e+00f 1\n", - " 18r-1.2618142e+01 2.39e+03 1.25e+03 1.5 1.30e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 19r-1.2636611e+01 2.39e+03 1.25e+03 1.5 3.98e+00 2.5 1.00e+00 1.39e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r-1.2757583e+01 2.39e+03 1.29e+03 1.5 1.50e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 21r-1.2783707e+01 2.39e+03 1.29e+03 1.5 4.50e+00 2.5 1.00e+00 4.58e-01f 1\n", - " 22r-1.2768718e+01 2.39e+03 1.29e+03 1.5 1.38e+01 2.0 1.00e+00 1.25e-01f 1\n", - " 23r-1.2719773e+01 2.39e+03 1.31e+03 1.5 5.17e+00 2.4 1.00e+00 7.13e-01f 1\n", - " 24r-1.2662032e+01 2.39e+03 1.31e+03 1.5 1.59e+01 1.9 1.00e+00 2.26e-01f 1\n", - " 25r-1.2627075e+01 2.38e+03 1.32e+03 1.5 4.75e+01 1.5 1.00e+00 6.08e-02f 1\n", - " 26r-1.2501920e+01 2.38e+03 1.33e+03 1.5 1.80e+01 1.9 1.00e+00 2.70e-01f 1\n", - " 27r-1.2343219e+01 2.38e+03 1.33e+03 1.5 5.39e+01 1.4 4.13e-01 1.06e-01f 1\n", - " 28r-1.2246358e+01 2.38e+03 1.33e+03 1.5 2.04e+01 1.8 1.00e+00 1.49e-01f 1\n", - " 29r-1.2030839e+01 2.37e+03 1.34e+03 1.5 6.08e+01 1.3 6.50e-01 1.32e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r-1.1623580e+01 2.37e+03 1.36e+03 0.9 2.90e+00 2.7 1.00e+00 5.18e-01f 1\n", - " 31r-1.1410963e+01 2.37e+03 1.36e+03 0.9 8.58e+00 2.2 9.00e-01 1.92e-01f 1\n", - " 32r-1.1050453e+01 2.36e+03 1.38e+03 0.9 2.51e+01 1.7 1.00e+00 2.39e-01f 1\n", - " 33r-1.0987561e+01 2.36e+03 1.35e+03 0.9 9.46e+00 2.1 1.00e+00 6.56e-02f 1\n", - " 34r-1.0223963e+01 2.36e+03 1.35e+03 0.9 3.60e+00 2.6 1.00e+00 9.93e-01f 1\n", - " 35r-1.0103402e+01 2.36e+03 1.25e+04 0.9 1.06e+01 2.1 6.70e-01 2.37e-01f 1\n", - " 36r-1.0096112e+01 2.36e+03 1.22e+04 0.9 3.98e+00 2.5 6.72e-02 2.67e-02f 1\n", - " 37r-1.0077262e+01 2.36e+03 1.08e+04 0.9 1.51e+00 2.9 4.09e-01 1.10e-01f 1\n", - " 38r-1.0049973e+01 2.36e+03 4.00e+03 0.9 1.97e-01 4.3 1.00e+00 6.47e-01f 1\n", - " 39r-1.0045110e+01 2.36e+03 2.22e+04 0.9 2.98e-01 3.8 5.61e-02 1.22e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r-1.0027704e+01 2.36e+03 5.93e+03 0.9 6.36e-01 3.3 2.37e-01 2.33e-01f 1\n", - " 41r-1.0036773e+01 2.36e+03 8.72e+04 0.9 9.12e+00 2.8 2.13e-01 1.93e-01f 1\n", - " 42r-1.0038692e+01 2.36e+03 5.20e+04 0.9 7.91e+00 2.4 1.60e-02 2.29e-01f 1\n", - " 43r-1.0064696e+01 2.36e+03 7.76e+04 0.9 5.45e+00 2.8 6.15e-01 3.30e-01f 1\n", - " 44r-1.0067720e+01 2.36e+03 6.84e+04 0.9 6.86e+00 2.3 3.91e-01 1.28e-01f 1\n", - " 45r-1.0075674e+01 2.36e+03 6.61e+04 0.9 4.01e+00 2.7 4.91e-01 3.86e-02f 1\n", - " 46r-1.0124849e+01 2.36e+03 5.61e+04 0.9 6.96e+00 2.3 4.50e-01 1.67e-01f 1\n", - " 47r-1.0159881e+01 2.36e+03 5.10e+04 0.9 2.10e+01 1.8 4.84e-01 7.97e-02f 1\n", - " 48r-1.0227161e+01 2.35e+03 3.87e+04 0.9 7.82e+00 2.2 5.88e-01 2.65e-01f 1\n", - " 49r-1.0243132e+01 2.35e+03 3.63e+04 0.9 2.40e+01 1.7 3.49e-01 6.11e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r-1.0258262e+01 2.35e+03 5.47e+04 0.9 1.75e+00 4.0 2.14e-01 1.35e-01f 1\n", - " 51r-1.0268386e+01 2.35e+03 4.61e+04 0.9 1.64e+00 3.5 4.90e-01 1.61e-01f 1\n", - " 52r-1.0308339e+01 2.35e+03 3.52e+04 0.9 1.88e+00 3.0 5.42e-01 5.41e-01f 1\n", - " 53r-1.0309445e+01 2.35e+03 3.74e+04 0.9 6.20e-01 5.2 2.05e-02 4.71e-02h 1\n", - " 54r-1.0309748e+01 2.35e+03 3.70e+04 0.9 6.88e-01 4.8 1.55e-01 7.48e-03f 5\n", - " 55r-1.0314288e+01 2.35e+03 3.31e+05 0.9 6.74e-01 5.2 5.54e-02 1.72e-01h 1\n", - " 56r-1.0315012e+01 2.35e+03 3.24e+05 0.9 6.10e-01 4.7 1.62e-01 2.27e-02f 3\n", - " 57r-1.0316454e+01 2.35e+03 2.98e+05 0.9 5.81e-01 5.1 2.31e-01 5.26e-02h 3\n", - " 58r-1.0316729e+01 2.35e+03 2.96e+05 0.9 5.83e-01 4.7 1.19e-01 9.06e-03h 5\n", - " 59r-1.0318011e+01 2.35e+03 2.79e+05 0.9 5.63e-01 5.1 3.18e-01 4.76e-02h 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r-1.0318428e+01 2.35e+03 2.75e+05 0.9 5.69e-01 4.6 1.70e-01 1.40e-02h 6\n", - " 61r-1.0321683e+01 2.35e+03 2.72e+05 0.9 5.45e-01 5.0 1.00e+00 1.24e-01h 4\n", - " 62r-1.0322870e+01 2.35e+03 2.58e+05 0.9 5.22e-01 4.6 4.76e-01 4.29e-02f 3\n", - " 63r-1.0346837e+01 2.35e+03 2.33e+06 0.9 5.56e-01 4.1 2.50e-01 7.13e-01f 1\n", - " 64r-1.0346639e+01 2.35e+03 3.10e+06 0.9 2.33e-02 7.2 3.60e-01 1.00e+00f 1\n", - " 65r-1.0346679e+01 2.35e+03 2.90e+06 0.9 3.92e-02 6.7 9.67e-01 5.12e-02h 1\n", - " 66r-1.0347479e+01 2.35e+03 2.38e+06 0.9 7.81e-02 6.3 9.44e-01 2.38e-01h 2\n", - " 67r-1.0353206e+01 2.35e+03 2.99e+06 0.9 2.82e-01 5.8 8.34e-01 4.21e-01h 1\n", - " 68r-1.0358749e+01 2.35e+03 3.44e+06 0.9 2.54e-01 5.3 7.34e-01 3.30e-01H 1\n", - " 69r-1.0360547e+01 2.35e+03 2.91e+06 0.9 2.35e-01 4.8 1.00e+00 1.34e-01f 3\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r-1.0367527e+01 2.35e+03 5.44e+05 0.9 2.14e-01 4.4 1.00e+00 4.82e-01f 1\n", - " 71r-1.0381577e+01 2.35e+03 1.81e+06 0.9 1.90e-01 3.9 7.79e-01 9.32e-01f 1\n", - "Reallocating memory for MA57: lfact (330034)\n", - " 72r-1.0381474e+01 2.35e+03 1.90e+06 0.9 1.10e-02 7.9 4.38e-02 1.00e+00f 1\n", - " 73r-1.0381521e+01 2.35e+03 1.48e+06 0.9 2.04e-02 7.4 6.39e-01 1.79e-01h 1\n", - " 74r-1.0381650e+01 2.35e+03 1.18e+06 0.9 1.17e-01 7.0 4.36e-01 2.45e-02h 1\n", - " 75r-1.0382956e+01 2.35e+03 2.40e+06 0.9 3.88e-01 6.5 4.12e-01 7.43e-02h 1\n", - " 76r-1.0388059e+01 2.35e+03 4.60e+06 0.9 4.47e-01 6.0 1.00e+00 2.23e-01h 1\n", - " 77r-1.0388387e+01 2.35e+03 4.52e+06 0.9 5.03e-01 5.5 3.15e-01 1.15e-02h 5\n", - " 78r-1.0389013e+01 2.35e+03 4.41e+06 0.9 5.29e-01 5.1 1.26e-01 1.91e-02h 6\n", - " 79r-1.0393566e+01 2.35e+03 4.44e+06 0.9 1.06e+00 4.6 2.06e-01 1.25e-01h 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r-1.0403193e+01 2.35e+03 3.17e+06 0.9 1.58e+00 4.1 1.17e-01 2.50e-01h 3\n", - " 81r-1.0434941e+01 2.35e+03 1.50e+06 0.9 1.66e+00 3.6 9.93e-01 6.77e-01f 1\n", - " 82r-1.0434941e+01 2.35e+03 1.49e+06 0.9 2.32e-02 7.7 8.34e-01 5.15e-03h 1\n", - "Reallocating memory for MA57: lfact (440200)\n", - " 83r-1.0434858e+01 2.35e+03 2.17e+07 0.9 1.60e-02 8.1 8.91e-01 1.51e-01h 1\n", - " 84r-1.0434925e+01 2.35e+03 4.10e+06 0.9 2.32e-02 7.6 4.81e-01 2.43e-01h 2\n", - " 85r-1.0435199e+01 2.35e+03 3.69e+06 0.9 2.22e-01 7.1 6.26e-02 2.14e-02h 2\n", - " 86r-1.0435354e+01 2.35e+03 3.54e+06 0.9 2.25e-01 6.7 2.36e-01 1.23e-02h 4\n", - " 87r-1.0435413e+01 2.35e+03 3.51e+06 0.9 2.17e-01 6.2 1.20e-01 4.21e-03h 6\n", - " 88r-1.0435478e+01 2.35e+03 3.48e+06 0.9 2.32e-01 5.7 2.54e-01 4.24e-03h 7\n", - " 89r-1.0435603e+01 2.35e+03 3.46e+06 0.9 4.05e-01 5.2 2.95e-01 6.49e-03h 7\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r-1.0435792e+01 2.35e+03 3.43e+06 0.9 6.54e-01 4.8 3.44e-01 1.26e-02h 7\n", - " 91r-1.0444227e+01 2.35e+03 2.59e+07 0.9 8.40e-01 4.3 9.79e-01 1.00e+00f 1\n", - "Reallocating memory for MA57: lfact (834872)\n", - "Reallocating memory for MA57: lfact (930668)\n", - "Reallocating memory for MA57: lfact (1174736)\n", - " 92r-1.0443676e+01 2.35e+03 9.96e+06 0.9 1.21e-02 9.2 7.26e-01 1.00e+00f 1\n", - "Reallocating memory for MA57: lfact (1424712)\n", - " 93r-1.0443685e+01 2.35e+03 4.84e+06 0.9 6.40e-03 8.7 1.00e+00 1.00e+00f 1\n", - " 94r-1.0443725e+01 2.35e+03 5.90e+06 0.9 3.65e-03 8.3 1.00e+00 1.77e-01h 1\n", - " 95r-1.0444044e+01 2.35e+03 3.35e+07 0.9 1.28e-02 7.8 1.00e+00 3.40e-01h 1\n", - " 96r-1.0444396e+01 2.35e+03 2.25e+07 0.9 2.61e-02 7.3 1.00e+00 1.50e-01h 2\n", - " 97r-1.0445675e+01 2.35e+03 2.31e+07 0.9 1.19e-01 6.8 7.33e-01 1.49e-01h 2\n", - " 98r-1.0454761e+01 2.35e+03 1.07e+08 0.9 3.14e-01 6.4 1.51e-02 5.59e-01h 1\n", - " 99r-1.0454768e+01 2.35e+03 6.73e+07 0.9 1.16e-02 9.5 4.71e-01 1.55e-01h 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r-1.0454793e+01 2.35e+03 6.14e+07 0.9 8.69e-02 9.0 7.57e-03 4.78e-03h 3\n", - " 101r-1.0454970e+01 2.35e+03 5.19e+07 0.9 3.75e-01 8.5 6.19e-03 8.31e-03h 2\n", - " 102r-1.0455666e+01 2.35e+03 6.88e+07 0.9 4.65e-01 8.1 9.31e-03 2.69e-02h 1\n", - " 103r-1.0462657e+01 2.35e+03 3.01e+08 0.9 4.68e-01 7.6 4.22e-02 2.69e-01h 1\n", - "Reallocating memory for MA57: lfact (1556396)\n", - " 104r-1.0462700e+01 2.35e+03 3.01e+08 0.9 3.58e-01 8.9 3.96e-02 2.07e-03h 1\n", - " 105r-1.0462705e+01 2.35e+03 3.01e+08 0.9 3.60e-01 9.3 8.53e-04 2.40e-04h 1\n", - " 106r-1.0463767e+01 2.35e+03 3.72e+08 0.9 3.59e-01 8.9 3.88e-02 5.00e-02f 1\n", - " 107r-1.0465681e+01 2.35e+03 3.26e+08 0.9 3.38e-01 8.4 3.36e-03 9.49e-02h 1\n", - " 108r-1.0467279e+01 2.35e+03 2.99e+08 0.9 3.08e-01 7.9 9.84e-02 8.59e-02h 1\n", - " 109r-1.0484548e+01 2.35e+03 4.36e+08 0.9 2.88e-01 7.4 1.15e-01 9.53e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r-1.0485465e+01 2.35e+03 1.15e+07 0.9 1.50e-02 7.9 1.00e+00 1.00e+00f 1\n", - " 111r-1.0485390e+01 2.35e+03 2.47e+04 0.9 7.92e-04 7.4 9.92e-01 1.00e+00f 1\n", - " 112r-1.0485487e+01 2.35e+03 1.51e+04 0.9 1.90e-03 6.9 1.00e+00 1.00e+00f 1\n", - " 113r-1.0485571e+01 2.35e+03 2.52e+03 0.9 9.49e-04 6.4 1.00e+00 1.00e+00f 1\n", - " 114r-1.0485988e+01 2.35e+03 1.39e+03 0.9 1.57e-03 5.9 1.00e+00 1.00e+00f 1\n", - " 115r-1.0486981e+01 2.35e+03 1.24e+03 0.9 4.19e-03 5.5 1.00e+00 1.00e+00f 1\n", - " 116r-1.0488778e+01 2.35e+03 3.20e+03 0.9 1.22e-02 5.0 1.00e+00 1.00e+00f 1\n", - " 117r-1.0489011e+01 2.35e+03 1.52e+04 0.9 3.81e-02 4.5 1.00e+00 1.00e+00f 1\n", - " 118r-1.0487999e+01 2.35e+03 4.80e+03 0.9 1.46e-02 4.9 1.00e+00 1.00e+00f 1\n", - " 119r-1.0484721e+01 2.35e+03 1.62e+04 0.9 4.40e-02 4.5 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r-1.0476870e+01 2.35e+03 4.42e+04 0.9 1.33e-01 4.0 1.00e+00 5.88e-01f 1\n", - " 121r-1.0476722e+01 2.35e+03 3.09e+05 0.9 7.11e-03 6.2 1.00e+00 1.00e+00f 1\n", - " 122r-1.0476640e+01 2.35e+03 1.97e+04 0.9 3.39e-03 5.7 1.00e+00 1.00e+00f 1\n", - " 123r-1.0477140e+01 2.35e+03 1.27e+05 0.9 2.43e-02 5.3 1.00e+00 5.44e-01f 1\n", - " 124r-1.0477216e+01 2.35e+03 1.23e+05 0.9 1.05e-02 6.6 1.00e+00 1.83e-01f 3\n", - " 125r-1.0478057e+01 2.35e+03 4.95e+05 0.9 2.51e-02 6.1 1.00e+00 5.59e-01h 1\n", - " 126r-1.0478429e+01 2.35e+03 1.91e+05 0.9 3.11e-02 5.6 9.88e-01 5.00e-01f 2\n", - " 127r-1.0478790e+01 2.35e+03 8.44e+04 0.9 3.18e-02 5.2 1.00e+00 1.00e+00f 1\n", - " 128r-1.0478823e+01 2.35e+03 3.13e+06 0.9 9.67e-04 8.3 1.00e+00 7.07e-01h 1\n", - " 129r-1.0478864e+01 2.35e+03 1.88e+06 0.9 2.58e-03 7.8 1.00e+00 3.96e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r-1.0478978e+01 2.35e+03 7.00e+05 0.9 5.34e-03 7.3 1.00e+00 6.12e-01h 1\n", - " 131r-1.0479104e+01 2.35e+03 5.43e+05 0.9 4.40e-03 6.9 7.52e-01 1.00e+00f 1\n", - " 132r-1.0479111e+01 2.35e+03 9.28e+05 0.9 2.71e-04 9.1 1.00e+00 1.00e+00h 1\n", - " 133r-1.0479132e+01 2.35e+03 2.96e+05 0.9 7.68e-04 8.6 1.00e+00 7.21e-01h 1\n", - " 134r-1.0479189e+01 2.35e+03 3.28e+06 0.9 1.49e-03 8.1 1.00e+00 6.03e-01F 1\n", - " 135r-1.0479195e+01 2.35e+03 1.12e+06 0.9 2.18e-04 9.5 1.00e+00 1.00e+00f 1\n", - " 136r-1.0479228e+01 2.35e+03 7.71e+06 0.9 9.73e-04 9.0 1.00e+00 6.93e-01h 1\n", - " 137r-1.0479237e+01 2.35e+03 5.80e+06 0.9 1.11e-03 8.5 1.00e+00 2.50e-01f 3\n", - " 138r-1.0479270e+01 2.35e+03 4.17e+06 0.9 5.13e-04 8.9 1.00e+00 1.00e+00f 1\n", - " 139r-1.0479291e+01 2.35e+03 5.01e+05 0.9 8.00e-04 8.5 1.00e+00 1.00e+00F 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r-1.0479296e+01 2.35e+03 1.91e+05 0.9 2.21e-04 8.0 1.00e+00 1.00e+00f 1\n", - " 141r-1.0479303e+01 2.35e+03 1.91e+04 0.9 5.43e-04 7.5 1.00e+00 1.00e+00f 1\n", - " 142r-1.0479300e+01 2.35e+03 2.90e+03 0.9 2.67e-04 7.0 1.00e+00 1.00e+00f 1\n", - " 143r-1.0479291e+01 2.35e+03 2.98e+03 0.9 8.20e-04 6.6 1.00e+00 1.00e+00f 1\n", - " 144r-1.0479236e+01 2.35e+03 1.97e+03 0.9 1.07e-03 6.1 1.00e+00 1.00e+00f 1\n", - " 145r-1.0479031e+01 2.35e+03 1.40e+04 0.9 3.21e-03 5.6 1.00e+00 1.00e+00f 1\n", - " 146r-1.0479025e+01 2.35e+03 5.33e+03 0.9 1.52e-03 6.9 1.00e+00 1.00e+00f 1\n", - " 147r-1.0479005e+01 2.35e+03 3.02e+03 0.9 7.39e-04 6.5 1.00e+00 1.00e+00f 1\n", - " 148r-1.0478925e+01 2.35e+03 1.30e+03 0.9 1.36e-03 6.0 1.00e+00 1.00e+00f 1\n", - " 149r-1.0478638e+01 2.35e+03 1.30e+03 0.9 4.08e-03 5.5 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150r-1.0478656e+01 2.35e+03 1.25e+04 0.9 7.74e-04 6.8 1.00e+00 1.00e+00f 1\n", - " 151r-1.0478628e+01 2.35e+03 1.29e+03 0.9 5.71e-04 6.4 1.00e+00 1.00e+00f 1\n", - " 152r-1.0478529e+01 2.35e+03 1.29e+03 0.9 1.71e-03 5.9 1.00e+00 1.00e+00f 1\n", - " 153r-1.0478496e+01 2.35e+03 1.29e+03 0.9 6.41e-04 6.3 1.00e+00 1.00e+00f 1\n", - " 154r-1.0478386e+01 2.35e+03 1.29e+03 0.9 1.92e-03 5.8 1.00e+00 1.00e+00f 1\n", - " 155r-1.0478004e+01 2.35e+03 1.46e+03 0.9 5.78e-03 5.3 1.00e+00 1.00e+00f 1\n", - " 156r-1.0476675e+01 2.35e+03 5.77e+03 0.9 1.74e-02 4.9 1.00e+00 1.00e+00f 1\n", - " 157r-1.0476162e+01 2.35e+03 1.30e+03 0.9 6.52e-03 5.3 1.00e+00 1.00e+00f 1\n", - " 158r-1.0474596e+01 2.35e+03 5.20e+03 0.9 1.95e-02 4.8 1.00e+00 1.00e+00f 1\n", - " 159r-1.0474124e+01 2.35e+03 1.46e+04 0.9 7.26e-03 5.2 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r-1.0473931e+01 2.35e+03 1.64e+03 0.9 2.73e-03 5.7 1.00e+00 1.00e+00f 1\n", - " 161r-1.0473353e+01 2.35e+03 2.43e+03 0.9 8.19e-03 5.2 1.00e+00 1.00e+00f 1\n", - " 162r-1.0471520e+01 2.35e+03 1.29e+03 0.9 2.46e-02 4.7 1.00e+00 1.00e+00f 1\n", - " 163r-1.0466087e+01 2.35e+03 1.29e+03 0.9 7.40e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 164r-1.0455271e+01 2.35e+03 1.29e+03 0.9 2.22e-01 3.8 1.00e+00 7.45e-01f 1\n", - " 165r-1.0414681e+01 2.35e+03 2.41e+03 0.9 6.77e-01 3.3 1.00e+00 8.08e-01f 1\n", - " 166r-1.0412550e+01 2.35e+03 2.55e+03 0.9 2.01e+00 2.8 8.59e-01 4.12e-01f 1\n", - " 167r-1.0423391e+01 2.35e+03 4.15e+03 0.9 6.08e+00 2.3 4.85e-01 1.46e-01f 1\n", - " 168r-1.0437289e+01 2.35e+03 3.08e+03 0.9 2.25e+00 2.8 1.00e+00 2.66e-01f 1\n", - " 169r-1.0478317e+01 2.35e+03 2.98e+03 0.9 6.48e+00 2.3 6.44e-01 1.35e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r-1.0572375e+01 2.35e+03 3.02e+03 0.9 2.39e+00 2.7 1.00e+00 4.35e-01f 1\n", - " 171r-1.0602775e+01 2.35e+03 2.98e+03 0.9 7.26e+00 2.2 4.92e-01 1.10e-01f 1\n", - " 172r-1.0725643e+01 2.34e+03 8.15e+03 0.9 2.72e+00 2.7 1.00e+00 8.59e-01f 1\n", - " 173r-1.0755948e+01 2.34e+03 2.72e+03 0.9 1.02e+00 3.1 6.58e-01 7.11e-01f 1\n", - " 174r-1.0777640e+01 2.34e+03 2.28e+03 0.9 3.08e+00 2.6 6.80e-01 3.00e-01f 1\n", - " 175r-1.0834608e+01 2.34e+03 7.67e+03 0.9 9.22e+00 2.1 5.68e-01 3.15e-01f 1\n", - " 176r-1.0860736e+01 2.34e+03 4.37e+03 0.9 3.45e+00 2.6 4.39e-01 2.96e-01f 1\n", - " 177r-1.0930124e+01 2.34e+03 2.22e+03 0.9 1.23e+00 3.0 1.00e+00 5.08e-01f 1\n", - " 178r-1.0983506e+01 2.34e+03 2.18e+03 0.9 3.68e+00 2.5 8.59e-01 2.27e-01f 1\n", - " 179r-1.1092593e+01 2.34e+03 1.59e+03 0.9 1.38e+00 2.9 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r-1.1127190e+01 2.34e+03 1.18e+03 0.9 5.18e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 181r-1.1198922e+01 2.34e+03 1.50e+03 0.9 1.55e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 182r-1.1221462e+01 2.34e+03 1.18e+03 0.9 5.83e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 183r-1.1274432e+01 2.33e+03 1.62e+03 0.9 1.75e+00 2.8 1.00e+00 1.00e+00f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 184r-1.1291428e+01 2.33e+03 1.18e+03 0.9 6.55e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 185r-1.1336775e+01 2.33e+03 1.55e+03 0.9 1.96e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 186r-1.1351554e+01 2.33e+03 1.17e+03 0.9 7.37e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 187r-1.1395199e+01 2.33e+03 1.31e+03 0.9 2.21e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 188r-1.1409545e+01 2.33e+03 1.17e+03 0.9 8.28e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 189r-1.1454604e+01 2.33e+03 1.60e+03 0.9 2.48e+00 2.7 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190r-1.1469483e+01 2.33e+03 1.17e+03 0.9 9.31e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 191r-1.1506626e+01 2.32e+03 1.17e+03 0.9 2.79e+00 2.6 1.00e+00 7.69e-01f 1\n", - " 192r-1.1570982e+01 2.32e+03 2.29e+03 0.9 8.34e+00 2.1 6.19e-01 4.59e-01f 1\n", - " 193r-1.1612090e+01 2.32e+03 1.17e+03 0.9 3.13e+00 2.6 1.00e+00 8.17e-01f 1\n", - " 194r-1.1623273e+01 2.32e+03 1.17e+03 0.9 9.26e+00 2.1 9.94e-01 4.77e-02f 1\n", - " 195r-1.2061835e+01 2.32e+03 3.29e+03 0.9 3.22e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 196r-1.2182768e+01 2.31e+03 1.09e+03 0.9 1.23e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 197r-1.2270040e+01 2.31e+03 1.08e+03 0.9 3.65e+00 2.5 1.00e+00 3.51e-01f 1\n", - " 198r-1.2702719e+01 2.31e+03 6.56e+03 0.9 1.08e+01 2.0 6.60e-01 7.01e-01f 1\n", - " 199r-1.2723100e+01 2.31e+03 2.85e+03 0.9 4.14e+00 2.4 1.00e+00 4.99e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200r-1.2714084e+01 2.30e+03 1.09e+03 0.9 1.57e+00 2.8 1.00e+00 6.06e-01f 1\n", - " 201r-1.2825997e+01 2.30e+03 1.07e+03 0.9 4.64e+00 2.4 1.00e+00 9.09e-02f 1\n", - " 202r-1.3653853e+01 2.30e+03 6.28e+03 0.9 1.40e+01 1.9 1.00e+00 3.78e-01f 1\n", - " 203r-1.3705091e+01 2.30e+03 6.08e+03 0.9 5.16e+00 2.3 1.00e+00 3.19e-02f 1\n", - " 204r-1.4251568e+01 2.30e+03 1.06e+03 0.9 1.91e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 205r-1.6118940e+01 2.29e+03 6.18e+03 0.9 5.75e+00 2.3 6.31e-01 1.00e+00f 1\n", - " 206r-1.6276861e+01 2.29e+03 1.01e+03 0.9 2.06e+00 2.7 6.82e-01 1.00e+00f 1\n", - " 207r-1.6396668e+01 2.29e+03 1.01e+03 0.9 6.30e+00 2.2 9.53e-01 1.25e-01f 1\n", - " 208r-1.7499706e+01 2.28e+03 7.33e+03 0.9 1.88e+01 1.7 6.88e-01 4.06e-01f 1\n", - " 209r-1.7484787e+01 2.28e+03 6.52e+03 0.9 8.92e-01 3.1 1.00e+00 1.10e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 210r-1.7317503e+01 2.28e+03 1.46e+03 0.9 3.61e-01 3.5 1.00e+00 1.00e+00f 1\n", - " 211r-1.7338736e+01 2.28e+03 1.44e+03 0.9 9.70e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 212r-1.7414461e+01 2.28e+03 1.00e+03 0.9 2.91e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 213r-1.7430149e+01 2.27e+03 1.00e+03 0.9 1.09e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 214r-1.7491821e+01 2.27e+03 1.00e+03 0.9 3.27e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 215r-1.7497688e+01 2.27e+03 1.00e+03 0.9 1.22e+00 2.9 1.00e+00 5.80e-01f 1\n", - " 216r-1.7782718e+01 2.27e+03 1.02e+03 0.9 3.74e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 217r-1.7835230e+01 2.27e+03 1.01e+03 0.9 1.39e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 218r-1.8049822e+01 2.26e+03 1.01e+03 0.9 4.17e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 219r-1.8085939e+01 2.26e+03 1.00e+03 0.9 1.55e+00 2.8 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 220r-1.8243584e+01 2.26e+03 1.01e+03 0.9 4.68e+00 2.3 1.00e+00 1.00e+00f 1\n", - " 221r-1.8255170e+01 2.25e+03 1.00e+03 0.9 1.74e+00 2.8 1.00e+00 5.39e-01f 1\n", - " 222r-1.8263324e+01 2.25e+03 1.00e+03 0.9 5.25e+00 2.3 1.00e+00 5.86e-02f 1\n", - " 223r-1.8308706e+01 2.25e+03 1.00e+03 0.9 1.97e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 224r-1.8456513e+01 2.25e+03 1.50e+03 0.9 5.91e+00 2.2 1.00e+00 1.00e+00f 1\n", - " 225r-1.8484621e+01 2.24e+03 1.00e+03 0.9 2.21e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 226r-1.8528613e+01 2.24e+03 1.00e+03 0.9 6.63e+00 2.2 1.00e+00 3.77e-01f 1\n", - " 227r-1.8523664e+01 2.24e+03 1.00e+03 0.9 1.99e+01 1.7 1.00e+00 1.29e-02f 1\n", - " 228r-1.8333088e+01 2.23e+03 2.13e+03 0.9 7.49e+00 2.1 1.00e+00 1.00e+00f 1\n", - " 229r-1.8298300e+01 2.23e+03 1.02e+03 0.9 3.57e-01 3.5 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 230r-1.8262583e+01 2.23e+03 1.01e+03 0.9 1.06e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 231r-1.8148252e+01 2.23e+03 1.01e+03 0.9 3.17e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 232r-1.7722350e+01 2.22e+03 2.48e+03 0.9 9.53e+00 2.0 1.00e+00 1.00e+00f 1\n", - " 233r-1.7605271e+01 2.22e+03 1.06e+03 0.9 4.68e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 234r-1.7503878e+01 2.22e+03 1.31e+03 0.9 1.35e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 235r-1.7158355e+01 2.21e+03 1.02e+03 0.9 4.06e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 236r-1.5423604e+01 2.20e+03 3.70e+03 0.9 1.24e+01 1.9 1.00e+00 1.00e+00f 1\n", - " 237r-1.1966623e+01 2.20e+03 1.12e+03 0.9 5.02e+00 2.3 1.00e+00 1.00e+00f 1\n", - " 238r-1.2430280e+01 2.19e+03 1.19e+03 0.9 1.48e+01 1.9 1.00e+00 4.37e-01f 1\n", - " 239r-1.2441112e+01 2.19e+03 1.16e+03 0.9 5.47e+00 2.3 1.00e+00 3.13e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 240r-1.3011083e+01 2.18e+03 2.10e+04 0.9 1.60e+01 1.8 1.00e+00 1.00e+00f 1\n", - " 241r-1.3029229e+01 2.18e+03 3.03e+03 0.9 7.63e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 242r-1.3144362e+01 2.17e+03 2.44e+03 0.9 2.25e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 243r-1.3278493e+01 2.17e+03 1.06e+03 0.9 6.76e+00 2.2 1.00e+00 1.00e+00f 1\n", - " 244r-1.3350918e+01 2.16e+03 1.70e+03 0.9 2.02e+01 1.7 1.00e+00 6.52e-01f 1\n", - " 245r-1.3351414e+01 2.16e+03 1.66e+03 0.9 7.59e+00 2.1 1.00e+00 2.28e-02f 1\n", - " 246r-1.3350493e+01 2.16e+03 1.33e+03 0.9 2.85e+00 2.6 1.00e+00 1.82e-01f 1\n", - " 247r-1.3355091e+01 2.15e+03 1.12e+03 0.9 8.54e+00 2.1 1.00e+00 1.54e-01f 1\n", - " 248r-1.3364488e+01 2.15e+03 1.09e+03 0.9 2.55e+01 1.6 1.00e+00 1.01e-01f 1\n", - " 249r-1.3371238e+01 2.15e+03 1.06e+03 0.9 9.60e+00 2.0 1.00e+00 2.08e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 250r-1.3384009e+01 2.15e+03 1.06e+03 0.9 2.87e+01 1.6 1.00e+00 1.28e-01f 1\n", - " 251r-1.3391276e+01 2.14e+03 1.06e+03 0.9 1.08e+01 2.0 1.00e+00 2.18e-01f 1\n", - " 252r-1.3405333e+01 2.14e+03 1.06e+03 0.9 3.22e+01 1.5 9.44e-01 1.30e-01f 1\n", - " 253r-1.3412846e+01 2.14e+03 1.06e+03 0.9 1.21e+01 1.9 1.00e+00 2.13e-01f 1\n", - " 254r-1.3428662e+01 2.13e+03 1.06e+03 0.9 3.62e+01 1.5 8.89e-01 1.27e-01f 1\n", - " 255r-1.3438361e+01 2.13e+03 1.06e+03 0.9 1.36e+01 1.9 1.00e+00 2.06e-01f 1\n", - " 256r-1.3467133e+01 2.13e+03 1.05e+03 0.9 4.04e+01 1.4 9.34e-01 1.28e-01f 1\n", - " 257r-1.3561423e+01 2.12e+03 1.05e+03 0.9 1.48e+01 1.8 1.00e+00 1.86e-01f 1\n", - " 258r-1.4315528e+01 2.12e+03 1.65e+03 0.9 4.57e+01 1.4 3.55e-01 1.51e-01f 1\n", - " 259r-1.4627321e+01 2.12e+03 1.36e+03 0.9 2.11e+00 2.7 1.00e+00 1.75e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 260r-1.7448124e+01 2.11e+03 2.46e+03 0.9 6.33e+00 2.2 3.07e-01 1.00e+00f 1\n", - " 261r-1.7448278e+01 2.11e+03 1.00e+03 0.9 2.30e+00 2.6 1.00e+00 9.67e-01f 1\n", - " 262r-1.7527065e+01 2.11e+03 1.00e+03 0.9 6.94e+00 2.2 1.00e+00 5.69e-02f 1\n", - " 263r-1.7928108e+01 2.10e+03 1.00e+03 0.9 2.08e+01 1.7 1.00e+00 1.05e-01f 1\n", - " 264r-1.9508375e+01 2.09e+03 2.29e+03 0.9 6.25e+01 1.2 2.55e-01 2.28e-01f 1\n", - " 265r-1.9495549e+01 2.09e+03 2.14e+03 0.9 2.95e+00 2.5 1.00e+00 6.25e-02f 1\n", - " 266r-1.9496873e+01 2.08e+03 1.00e+03 0.9 8.72e+00 2.1 1.00e+00 7.87e-01f 1\n", - " 267r-1.9504830e+01 2.08e+03 1.00e+03 0.9 2.62e+01 1.6 1.00e+00 1.01e-02f 1\n", - " 268r-1.9739388e+01 2.07e+03 3.54e+03 0.9 9.82e+00 2.0 1.00e+00 1.00e+00f 1\n", - " 269r-1.9738744e+01 2.07e+03 3.92e+03 0.9 4.60e-01 3.3 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 270r-1.9773303e+01 2.07e+03 1.00e+03 0.9 1.38e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 271r-1.9871766e+01 2.07e+03 1.00e+03 0.9 4.14e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 272r-2.0131046e+01 2.06e+03 2.42e+03 0.9 1.24e+01 1.9 1.00e+00 1.00e+00f 1\n", - " 273r-2.0166977e+01 2.05e+03 1.11e+03 0.9 4.66e+00 2.3 1.00e+00 5.49e-01f 1\n", - " 274r-2.0191262e+01 2.05e+03 1.01e+03 0.9 1.40e+01 1.9 1.00e+00 1.06e-01f 1\n", - " 275r-2.0542882e+01 2.03e+03 9.58e+03 0.9 4.19e+01 1.4 1.00e+00 5.47e-01f 1\n", - " 276r-2.0515582e+01 2.03e+03 1.82e+04 0.9 2.51e-01 3.6 9.48e-01 1.00e+00f 1\n", - " 277r-1.9415646e+01 5.51e+02 1.81e+04 0.9 6.03e+06 - 4.51e-04 3.33e-04f 1\n", - " 278r-1.9386624e+01 5.54e+02 1.81e+04 0.9 1.29e+06 - 3.42e-03 1.56e-05f 1\n", - " 279r-1.9471143e+01 5.45e+02 1.80e+04 0.9 6.22e+03 - 2.71e-02 1.45e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 280r-2.0746408e+01 4.61e+02 9.44e+04 0.9 7.14e+03 - 1.38e-02 4.56e-02f 1\n", - " 281r-2.0564254e+01 4.10e+02 8.33e+04 0.9 9.92e+00 4.0 1.11e-01 1.13e-01h 1\n", - " 282r-1.8690639e+01 2.35e+02 5.18e+04 0.9 9.25e+00 3.6 5.73e-02 1.00e+00h 1\n", - " 283r-1.8698611e+01 2.32e+02 5.11e+04 0.9 3.43e+03 - 1.20e-03 1.02e-03f 1\n", - " 284r-1.8673273e+01 2.31e+02 4.84e+04 0.9 3.19e+00 3.1 3.23e-01 3.64e-02h 1\n", - " 285r-1.8700393e+01 2.18e+02 4.45e+04 0.9 2.33e+03 - 1.71e-02 6.26e-03f 1\n", - " 286r-1.8474414e+01 2.13e+02 1.03e+05 0.9 3.00e+00 2.6 8.53e-01 3.33e-01f 1\n", - " 287r-1.8403999e+01 2.13e+02 7.99e+04 0.9 2.28e+00 3.0 3.60e-01 1.31e-01f 1\n", - " 288r-1.8319641e+01 2.13e+02 5.15e+04 0.9 3.07e+00 2.6 3.02e-01 1.72e-01f 1\n", - " 289r-1.8244433e+01 2.12e+02 5.80e+04 0.9 2.41e+00 3.0 1.16e-01 1.78e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 290r-1.8215228e+01 2.12e+02 4.88e+04 0.9 1.82e+00 3.4 6.34e-02 8.20e-02h 3\n", - " 291r-1.8144417e+01 2.10e+02 2.79e+05 0.9 1.72e+00 3.8 3.94e-02 2.11e-01h 1\n", - " 292r-1.8138626e+01 2.10e+02 2.69e+05 0.9 1.35e+00 4.3 9.06e-02 2.17e-02h 4\n", - " 293r-1.8123118e+01 2.10e+02 2.37e+05 0.9 1.79e+00 3.8 1.21e-01 5.86e-02h 3\n", - " 294r-1.8066496e+01 2.08e+02 1.59e+05 0.9 2.62e+00 3.3 5.45e-01 2.28e-01h 1\n", - " 295r-1.8063409e+01 2.08e+02 1.57e+05 0.9 1.52e+00 3.7 1.67e-01 1.54e-02h 4\n", - " 296r-1.8059299e+01 2.08e+02 1.52e+05 0.9 1.42e+00 4.2 1.62e-01 2.11e-02h 4\n", - " 297r-1.8057396e+01 2.08e+02 1.51e+05 0.9 1.62e+00 3.7 1.25e-01 9.90e-03h 5\n", - " 298r-1.8052741e+01 2.08e+02 1.47e+05 0.9 1.56e+00 4.1 1.85e-01 2.49e-02h 4\n", - " 299r-1.8043665e+01 2.08e+02 1.40e+05 0.9 1.93e+00 3.6 1.95e-01 5.01e-02h 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 300r-1.8025193e+01 2.08e+02 1.10e+05 0.9 2.66e+00 3.1 6.61e-01 1.17e-01h 1\n", - " 301r-1.8016731e+01 2.07e+02 9.54e+04 0.9 3.52e+00 2.7 2.82e-01 8.37e-02h 3\n", - " 302r-1.8076444e+01 1.86e+02 9.49e+04 0.9 5.16e+03 - 1.38e-02 4.17e-03f 1\n", - " 303r-1.8334826e+01 9.31e+01 8.95e+04 0.9 5.68e+03 - 1.14e-01 2.15e-02f 1\n", - " 304r-1.8435647e+01 9.33e+01 8.85e+04 0.9 7.83e+03 - 9.03e-02 7.45e-03f 1\n", - " 305r-1.8419013e+01 7.59e+01 3.81e+04 0.9 4.57e+00 2.2 1.00e+00 2.26e-01f 1\n", - " 306r-1.8417242e+01 7.74e+01 3.79e+04 0.9 9.93e+02 - 3.31e-02 4.68e-03f 1\n", - " 307r-1.8416693e+01 7.57e+01 3.69e+04 0.9 4.35e+00 1.7 1.00e+00 2.28e-02f 1\n", - " 308r-1.8378129e+01 4.96e+01 3.49e+04 0.9 6.08e+00 1.2 1.00e+00 8.39e-01f 1\n", - " 309r-1.8377029e+01 4.94e+01 7.85e+04 0.9 1.14e-01 7.1 1.20e-01 5.03e-02h 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 310r-1.8372970e+01 4.18e+01 6.58e+04 0.9 2.06e+01 - 5.54e-01 1.64e-01f 1\n", - " 311r-1.8367085e+01 3.17e+01 4.86e+04 0.9 1.65e+01 - 3.40e-01 2.68e-01f 1\n", - " 312r-1.8363089e+01 2.53e+01 3.81e+04 0.9 1.06e+01 - 4.75e-01 2.20e-01f 1\n", - " 313r-1.8346395e+01 8.70e+00 3.66e+03 0.9 8.95e+00 - 4.05e-01 1.00e+00f 1\n", - " 314r-1.8346043e+01 1.07e+00 1.28e+04 0.9 3.51e-03 6.6 1.00e+00 1.00e+00h 1\n", - " 315r-1.8346044e+01 1.16e-01 8.52e+02 0.9 5.17e-04 6.1 1.00e+00 1.00e+00f 1\n", - " 316r-1.8346046e+01 1.16e-01 4.29e+02 0.9 9.57e-04 5.7 1.00e+00 1.00e+00f 1\n", - " 317r-1.8346056e+01 1.65e-01 5.66e+02 0.2 3.76e-03 5.2 1.00e+00 1.00e+00f 1\n", - " 318r-1.8346120e+01 8.14e-01 4.02e+02 0.2 7.76e-03 4.7 1.00e+00 8.68e-01f 1\n", - " 319r-1.8346285e+01 1.33e+00 4.15e+02 0.2 2.13e-02 4.2 1.00e+00 8.55e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 320r-1.8346558e+01 9.40e-01 2.28e+02 0.2 3.33e-02 3.7 1.00e+00 8.95e-01f 1\n", - " 321r-1.8347152e+01 1.18e+00 1.61e+02 0.2 6.51e-02 3.3 1.00e+00 9.96e-01f 1\n", - " 322r-1.8348178e+01 1.88e+00 1.59e+02 0.2 1.26e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 323r-1.8349791e+01 1.24e+00 1.64e+02 0.2 2.46e-01 2.3 1.00e+00 1.00e+00f 1\n", - " 324r-1.8351693e+01 3.09e+00 1.80e+02 0.2 4.79e-01 1.8 1.00e+00 1.00e+00f 1\n", - " 325r-1.7803977e+01 3.82e+00 1.76e+02 0.2 3.86e+01 - 2.49e-01 1.66e-01f 1\n", - " 326r-1.7013700e+01 5.27e+00 4.68e+02 0.2 3.56e+01 - 6.82e-01 1.86e-01f 1\n", - " 327r-1.6798197e+01 1.25e+00 9.19e+01 0.2 9.42e-01 1.4 1.00e+00 1.00e+00f 1\n", - " 328r-1.6549868e+01 4.03e+01 4.38e+02 -0.5 1.25e+01 - 1.08e-01 1.34e-01f 1\n", - " 329r-1.6538028e+01 3.49e+01 2.65e+02 -0.5 9.62e-02 2.7 6.22e-01 4.28e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 330r-1.6530306e+01 2.01e+01 3.75e+02 -0.5 1.35e-01 2.2 8.40e-01 5.43e-01f 1\n", - " 331r-1.6529920e+01 1.52e+01 7.17e+02 -0.5 3.85e-01 1.7 1.00e+00 2.86e-01f 1\n", - " 332r-1.6534910e+01 6.36e+00 2.86e+02 -0.5 1.01e+00 1.3 1.00e+00 6.79e-01f 1\n", - " 333r-1.6539565e+01 4.50e+00 4.74e+02 -0.5 2.44e+00 0.8 1.00e+00 3.11e-01f 1\n", - " 334r-1.6859397e+01 3.72e+00 6.73e+02 -0.5 1.75e+01 - 1.00e+00 1.77e-01f 1\n", - " 335r-1.6668131e+01 3.27e+00 4.68e+02 -0.5 1.66e+01 - 7.32e-01 1.73e-01f 1\n", - " 336r-1.6427053e+01 3.10e+00 6.15e+02 -0.5 2.31e+01 - 1.00e+00 2.40e-01f 1\n", - " 337r-1.6358124e+01 2.56e+00 5.52e+02 -0.5 3.27e+01 - 6.17e-01 1.89e-01f 1\n", - " 338r-1.6038198e+01 2.75e+00 4.65e+02 -0.5 3.25e+01 - 9.45e-01 3.35e-01f 1\n", - " 339r-1.5955134e+01 2.59e+00 5.18e+02 -0.5 3.31e+01 - 1.00e+00 7.89e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 340r-1.4026817e+01 8.46e+00 2.01e+02 -0.5 4.91e+00 - 1.00e+00 8.16e-01f 1\n", - " 341r-1.3958001e+01 2.55e+00 3.91e+02 -0.5 6.57e-01 0.3 3.37e-01 7.42e-01f 1\n", - " 342r-1.3960857e+01 1.24e+00 3.60e+02 -0.5 1.96e-01 1.6 9.40e-01 6.45e-01f 1\n", - " 343r-1.4002816e+01 2.73e+00 3.17e+02 -0.5 3.95e+00 - 1.37e-01 1.59e-01f 1\n", - " 344r-1.4023774e+01 7.39e-01 2.79e+02 -0.5 1.12e-01 1.2 1.00e+00 1.00e+00f 1\n", - " 345r-1.4383343e+01 8.27e-01 1.12e+03 -0.5 3.72e-01 0.7 1.00e+00 1.00e+00h 1\n", - " 346r-1.5745630e+01 5.00e+00 2.75e+02 -0.5 2.57e+00 0.2 9.36e-01 8.57e-01f 1\n", - " 347r-1.5628053e+01 9.16e-01 2.14e+02 -0.5 2.69e-01 1.5 1.00e+00 1.00e+00f 1\n", - " 348r-1.5625860e+01 1.82e-01 5.37e+01 -0.5 1.93e-02 2.0 1.00e+00 1.00e+00h 1\n", - " 349r-1.6084164e+01 1.86e+00 2.42e+02 -0.5 1.98e+00 - 8.18e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 350r-1.6554042e+01 2.12e+00 2.86e+01 -0.5 1.34e+00 - 1.00e+00 1.00e+00h 1\n", - " 351r-1.6427991e+01 1.26e+00 1.25e+01 -0.5 5.16e-01 - 1.00e+00 1.00e+00h 1\n", - " 352r-1.6429641e+01 3.73e-01 1.59e+02 -1.2 9.72e-01 - 1.00e+00 8.69e-01f 1\n", - " 353r-1.6350094e+01 3.48e-01 1.26e+03 -1.2 1.23e+01 - 7.58e-01 1.16e-01f 1\n", - " 354r-1.6173058e+01 7.34e-01 1.68e+03 -1.2 9.25e+00 - 1.00e+00 1.83e-01f 1\n", - " 355r-1.6000319e+01 1.30e+00 1.32e+03 -1.2 7.71e+00 - 1.00e+00 2.64e-01f 1\n", - " 356r-1.5787450e+01 1.99e+00 8.35e+02 -1.2 7.40e+00 - 1.00e+00 3.73e-01f 1\n", - " 357r-1.5332704e+01 4.57e+00 7.22e+01 -1.2 6.36e+00 - 1.00e+00 1.00e+00f 1\n", - " 358r-1.5290318e+01 1.57e-01 3.13e+00 -1.2 2.84e+00 - 1.00e+00 1.00e+00h 1\n", - " 359r-1.5584114e+01 4.37e-01 1.95e+02 -1.9 1.88e+00 - 9.10e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 360r-1.5259138e+01 1.57e+00 8.11e+01 -1.9 2.10e+01 - 3.56e-01 1.87e-01f 1\n", - " 361r-1.5243231e+01 2.03e-02 8.44e+00 -1.9 6.32e-02 1.5 1.00e+00 1.00e+00h 1\n", - " 362r-1.5245119e+01 5.57e-03 1.90e+00 -1.9 1.71e-02 1.0 1.00e+00 1.00e+00h 1\n", - " 363r-1.5112278e+01 6.09e-01 1.65e+02 -1.9 1.70e+01 - 6.86e-01 2.79e-01f 1\n", - " 364r-1.4906134e+01 2.09e+00 1.36e+02 -1.9 2.13e+01 - 1.00e+00 5.25e-01f 1\n", - " 365r-1.4898310e+01 1.78e+00 1.29e+02 -1.9 1.37e+01 - 1.00e+00 1.66e-01h 1\n", - " 366r-1.4643307e+01 1.21e+00 2.91e+01 -1.9 1.12e+01 - 1.00e+00 1.00e+00h 1\n", - " 367r-1.4641394e+01 5.36e-02 2.18e-01 -1.9 3.20e+00 - 1.00e+00 1.00e+00h 1\n", - " 368r-1.5050973e+01 5.12e-01 3.39e+02 -2.9 1.32e+00 - 6.39e-01 1.00e+00f 1\n", - " 369r-1.4436269e+01 2.33e+00 2.14e+02 -2.9 3.28e+01 - 3.60e-01 2.49e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 370r-1.4081335e+01 2.94e+00 1.85e+02 -2.9 2.17e+01 - 1.35e-01 1.38e-01f 1\n", - " 371r-1.4094379e+01 2.87e+00 5.90e+02 -2.9 6.75e-01 0.5 2.46e-01 2.55e-02h 1\n", - " 372r-1.4093236e+01 2.86e+00 3.34e+02 -2.9 1.89e+01 - 5.34e-01 2.31e-03h 1\n", - " 373r-1.3986240e+01 2.79e+00 3.10e+02 -2.9 1.77e+01 - 1.00e+00 1.28e-01f 1\n", - " 374r-1.3831680e+01 3.19e+00 2.59e+02 -2.9 1.40e+01 - 1.00e+00 2.04e-01h 1\n", - " 375r-1.3711147e+01 4.03e+00 2.77e+02 -2.9 8.65e+00 - 1.00e+00 1.78e-01h 1\n", - " 376r-1.2072513e+01 7.12e+01 1.27e+02 -2.9 1.10e+01 - 1.00e+00 9.98e-01h 1\n", - " 377r-1.2293309e+01 6.83e+01 1.21e+02 -2.9 9.92e+00 - 4.75e-01 4.52e-02h 1\n", - " 378r-1.3036278e+01 5.11e+01 9.82e+01 -2.9 5.09e+00 - 1.00e+00 3.39e-01h 1\n", - " 379r-1.3317436e+01 1.68e+01 3.97e+01 -2.9 2.53e+00 - 1.00e+00 7.35e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 380r-1.3241069e+01 3.10e-01 2.43e-02 -2.9 6.61e-01 - 1.00e+00 1.00e+00h 1\n", - " 381r-1.3230401e+01 1.25e-03 3.36e-05 -2.9 3.33e-02 - 1.00e+00 1.00e+00h 1\n", - " 382r-1.3236533e+01 7.25e-04 4.59e-01 -4.4 1.06e-01 - 1.00e+00 1.00e+00f 1\n", - " 383r-1.3236806e+01 6.51e-04 6.63e+02 -4.4 7.17e-02 - 1.00e+00 1.07e-01h 1\n", - " 384r-1.3237030e+01 4.12e-07 2.03e-02 -4.4 3.35e-03 - 1.00e+00 1.00e+00h 1\n", - " 385r-1.3237030e+01 1.48e-08 5.70e-10 -4.4 3.42e-06 - 1.00e+00 1.00e+00h 1\n", - " 386r-1.3237050e+01 5.81e-09 9.66e-02 -6.6 3.79e-04 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 386\n", + " 0 -0.0000000e+00 2.67e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (280897)\n", + " 1 5.4655826e+00 7.17e+02 2.15e+03 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", + " 2 1.0906395e+01 7.15e+02 2.16e+03 -1.0 8.26e+02 - 6.11e-04 2.83e-03h 1\n", + "WARNING: Problem in step computation; switching to emergency mode.\n", + " 3r 1.0906395e+01 7.15e+02 9.99e+02 2.9 0.00e+00 - 0.00e+00 0.00e+00R 1\n", + " 4r 1.1703521e+00 6.70e+03 7.35e+04 2.9 6.49e+05 - 2.20e-02 1.09e-03f 1\n", + " 5r 7.8567757e-01 6.64e+03 7.31e+04 2.9 6.45e+03 - 4.82e-02 5.67e-03f 1\n", + " 6r-9.2384296e-01 6.32e+03 6.95e+04 2.9 1.62e+03 - 5.90e-02 4.94e-02f 1\n", + " 7r-2.0125057e+00 5.84e+03 6.43e+04 2.9 2.65e+02 - 6.03e-02 7.67e-02f 1\n", + " 8r-3.1674842e+00 4.98e+03 5.48e+04 2.9 7.15e+01 - 5.50e-01 1.53e-01f 1\n", + " 9r-5.3055698e+00 2.59e+03 2.85e+04 2.9 3.58e+01 - 6.12e-01 5.58e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r-4.2820818e+00 1.31e+03 1.44e+04 2.2 1.70e+01 - 1.00e+00 5.78e-01f 1\n", + " 11r-4.2295466e+00 9.51e+02 1.05e+04 2.2 4.78e+01 - 1.00e+00 2.94e-01f 1\n", + " 12r-4.0666894e+00 2.37e+02 2.62e+03 2.2 5.89e+00 - 1.00e+00 1.00e+00f 1\n", + " 13r-3.7963640e+00 7.46e+02 8.06e+02 1.5 4.62e-01 2.0 1.00e+00 9.13e-01f 1\n", + " 14r-3.7926931e+00 2.09e+02 1.77e+02 1.5 9.96e-02 3.3 1.00e+00 1.00e+00f 1\n", + " 15r-3.5228070e+00 1.77e+02 4.78e+02 0.8 2.84e+01 - 3.07e-01 1.67e-01f 1\n", + " 16r-3.5023267e+00 1.51e+02 4.90e+02 0.8 2.62e+01 - 3.78e-01 1.55e-01f 1\n", + " 17r-3.4958074e+00 1.41e+02 1.13e+03 0.8 8.88e+00 - 6.99e-01 2.68e-01f 1\n", + " 18r-3.4924455e+00 3.07e+02 5.28e+02 0.8 3.96e+00 - 1.00e+00 5.97e-01f 1\n", + " 19r-3.4954529e+00 6.79e+02 6.36e+02 0.8 5.45e+00 - 4.53e-01 4.14e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r-3.4695209e+00 3.69e+02 3.51e+02 0.8 6.08e-02 3.8 7.70e-01 5.66e-01f 1\n", + " 21r-3.4498142e+00 9.73e+01 2.73e+02 0.8 8.06e-02 3.3 1.00e+00 1.00e+00f 1\n", + " 22r-3.5129663e+00 7.03e+01 6.66e+02 0.8 2.45e+00 - 1.00e+00 3.05e-01f 1\n", + " 23r-3.6583397e+00 1.79e+01 1.22e+02 0.8 1.19e+00 - 1.00e+00 1.00e+00f 1\n", + " 24r-3.3523579e+00 5.63e+00 6.94e+01 0.1 1.91e+00 - 7.61e-01 9.03e-01f 1\n", + " 25r-3.2879383e+00 2.65e+00 2.40e+02 -0.6 9.88e-02 2.8 4.22e-01 6.85e-01f 1\n", + " 26r-3.2942005e+00 1.48e+00 4.28e+02 -0.6 1.19e-01 2.3 4.24e-01 6.72e-01f 1\n", + " 27r-3.3741843e+00 6.95e-01 3.17e+02 -0.6 2.83e-01 1.8 4.27e-01 6.60e-01f 1\n", + " 28r-3.5647629e+00 3.80e-01 1.05e+02 -0.6 7.15e-01 1.4 7.67e-01 6.04e-01f 1\n", + " 29r-3.6263593e+00 2.10e+00 3.19e+02 -0.6 2.49e+01 - 1.87e-01 5.76e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r-3.7559257e+00 1.10e+00 6.50e+02 -0.6 1.46e+00 0.9 1.00e+00 4.80e-01f 1\n", + " 31r-4.4296864e+00 1.27e+00 9.12e+02 -0.6 1.83e+01 - 7.72e-01 1.96e-01f 1\n", + " 32r-4.6062143e+00 1.11e+00 1.05e+03 -0.6 1.32e+01 - 9.70e-01 2.52e-01f 1\n", + " 33r-4.6403310e+00 1.01e+00 5.07e+02 -0.6 9.79e+00 - 1.00e+00 1.31e-01f 1\n", + " 34r-5.0267968e+00 6.75e-01 4.89e+02 -0.6 8.92e+00 - 1.00e+00 5.08e-01f 1\n", + " 35r-5.4793176e+00 4.05e-01 1.51e+02 -0.6 5.44e+00 - 1.00e+00 5.39e-01f 1\n", + " 36r-5.8514660e+00 1.45e-01 2.77e+00 -0.6 2.73e+00 - 1.00e+00 1.00e+00f 1\n", + " 37r-6.2239976e+00 3.05e-01 1.42e+02 -2.0 2.02e+00 - 4.28e-01 8.71e-01f 1\n", + " 38r-6.2306008e+00 3.14e-01 2.23e+02 -2.0 3.87e+01 - 3.53e-01 4.39e-02f 1\n", + " 39r-6.5065210e+00 5.49e-01 2.64e+02 -2.0 2.89e+01 - 3.51e-01 1.75e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r-7.5490591e+00 7.24e-01 2.22e+02 -2.0 2.92e+01 - 2.81e-01 2.23e-01f 1\n", + " 41r-8.1856846e+00 9.29e-01 1.94e+02 -2.0 2.78e+01 - 4.49e-01 2.86e-01f 1\n", + " 42r-8.9032613e+00 1.18e+00 8.10e+01 -2.0 2.39e+01 - 2.78e-01 4.90e-01f 1\n", + " 43r-9.2691161e+00 7.81e-01 7.64e+01 -2.0 1.52e+01 - 1.00e+00 5.88e-01f 1\n", + " 44r-9.3057712e+00 6.21e-01 5.76e+01 -2.0 6.37e+00 - 1.00e+00 2.13e-01f 1\n", + " 45r-9.4237517e+00 1.73e-01 2.59e+00 -2.0 5.10e+00 - 1.00e+00 1.00e+00f 1\n", + " 46r-9.3960183e+00 1.73e-01 6.42e-02 -2.0 1.13e-01 - 1.00e+00 1.00e+00h 1\n", + " 47r-9.4943082e+00 1.77e-01 2.62e+00 -3.1 2.80e-01 - 9.24e-01 1.00e+00f 1\n", + " 48r-9.6936589e+00 2.41e-01 9.35e+01 -3.1 4.97e+01 - 2.97e-01 1.07e-01f 1\n", + " 49r-1.0071906e+01 1.16e+00 1.45e+02 -3.1 4.98e+01 - 4.45e-01 2.53e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r-1.0193604e+01 1.96e+00 2.09e+02 -3.1 4.95e+01 - 1.00e+00 4.03e-01f 1\n", + " 51r-1.0182449e+01 1.75e+00 1.52e+02 -3.1 3.86e+01 - 1.00e+00 1.63e-01f 1\n", + " 52r-1.0144091e+01 1.49e+00 1.16e+02 -3.1 3.22e+01 - 1.00e+00 2.37e-01f 1\n", + " 53r-9.9402027e+00 1.27e+00 3.08e+01 -3.1 2.60e+01 - 1.00e+00 7.30e-01f 1\n", + " 54r-9.8860003e+00 1.25e-01 1.42e+00 -3.1 8.74e+00 - 1.00e+00 1.00e+00h 1\n", + " 55r-9.9335964e+00 2.56e-02 6.45e-03 -3.1 1.14e-01 - 1.00e+00 1.00e+00h 1\n", + " 56r-9.9408592e+00 2.62e-02 9.47e+00 -4.6 4.04e-02 - 8.74e-01 8.23e-01f 1\n", + " 57r-9.9294589e+00 2.54e-02 5.66e+01 -4.6 6.22e-01 0.4 8.77e-01 5.64e-01f 1\n", + " 58r-9.9016182e+00 2.33e-02 5.29e+01 -4.6 1.86e+00 -0.1 1.00e+00 5.21e-01f 1\n", + " 59r-9.8225485e+00 1.32e-01 3.95e+01 -4.6 5.49e+00 -0.5 6.25e-01 9.64e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r-9.8442419e+00 1.24e-01 1.25e+02 -4.6 1.52e+01 -1.0 1.00e+00 1.30e-01f 1\n", + " 61r-9.8464890e+00 1.23e-01 1.30e+02 -4.6 3.83e+01 -1.5 2.52e-01 1.30e-02f 1\n", + " 62r-9.8658349e+00 1.24e-01 1.53e+02 -4.6 7.84e+01 -2.0 2.18e-01 3.48e-02f 1\n", + " 63r-9.8660048e+00 1.24e-01 1.79e+02 -4.6 1.35e+01 -2.4 6.89e-02 3.46e-04h 1\n", + " 64r-9.8590623e+00 1.37e-01 6.58e+02 -4.6 1.11e+01 -2.0 1.00e+00 8.03e-02f 1\n", + " 65r-9.8626496e+00 7.17e-01 5.93e+02 -4.6 1.34e+01 -2.5 1.14e-01 9.89e-02f 1\n", + " 66r-9.9103122e+00 9.81e-01 5.78e+02 -4.6 2.06e+01 -3.0 5.33e-01 2.50e-02f 1\n", + " 67r-9.9072747e+00 1.06e+00 5.26e+02 -4.6 1.20e+01 -2.5 2.41e-01 8.95e-02f 1\n", + " 68r-9.9408631e+00 1.23e+00 4.93e+02 -4.6 1.43e+01 -3.0 1.00e+00 6.12e-02f 1\n", + " 69r-1.0193360e+01 9.54e+00 3.80e+02 -4.6 1.52e+01 -3.5 3.35e-01 2.30e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r-1.0069054e+01 8.39e+00 1.11e+02 -4.6 1.16e+01 - 1.00e+00 7.08e-01f 1\n", + " 71r-1.0108628e+01 6.97e+00 8.52e+01 -4.6 9.82e+00 - 1.00e+00 1.72e-01h 1\n", + " 72r-1.0110191e+01 6.88e+00 1.93e+02 -4.6 9.63e+00 - 1.00e+00 1.21e-02h 1\n", + " 73r-1.0158740e+01 3.78e+00 2.42e+02 -4.6 8.63e+00 - 1.00e+00 4.67e-01h 1\n", + " 74r-1.0136739e+01 1.19e+00 5.07e+01 -4.6 8.82e+00 - 1.00e+00 7.77e-01h 1\n", + " 75r-1.0136162e+01 1.16e+00 4.02e+01 -4.6 4.81e+00 - 1.00e+00 2.16e-02h 1\n", + " 76r-1.0130638e+01 9.68e-01 6.54e+01 -4.6 4.25e+00 - 1.00e+00 1.72e-01h 1\n", + " 77r-1.0101210e+01 1.23e-01 3.48e-01 -4.6 3.57e+00 - 1.00e+00 1.00e+00h 1\n", + " 78r-1.0103404e+01 2.01e-02 1.87e-03 -4.6 1.74e-01 - 1.00e+00 1.00e+00h 1\n", + " 79r-1.0103404e+01 2.01e-02 1.18e-08 -4.6 1.79e-04 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r-1.0103769e+01 2.01e-02 7.32e-01 -6.9 5.69e-03 - 9.11e-01 9.96e-01f 1\n", + " 81r-1.0105888e+01 7.63e-01 3.57e+02 -6.9 2.43e+01 -2.2 7.85e-01 1.37e-01f 1\n", + " 82r-1.0146966e+01 1.29e+00 3.59e+02 -6.9 4.26e+02 -2.7 4.52e-02 1.38e-03f 1\n", + " 83r-1.0144180e+01 1.30e+00 1.35e+03 -6.9 1.83e+02 - 1.00e+00 1.73e-03f 1\n", + " 84r-9.8799057e+00 1.38e+01 1.08e+03 -6.9 1.68e+02 - 4.66e-01 7.15e-02f 1\n", + " 85r-9.8798945e+00 1.38e+01 1.04e+03 -6.9 1.23e+02 - 1.00e+00 4.13e-06h 1\n", + " 86r-9.7662895e+00 1.56e+01 9.96e+02 -6.9 1.20e+02 - 8.46e-01 3.86e-02f 1\n", + " 87r-9.6360045e+00 1.44e+01 6.51e+02 -6.9 5.97e+01 - 6.38e-01 7.88e-02f 1\n", + " 88r-9.6152888e+00 1.42e+01 8.97e+02 -6.9 5.65e+01 - 1.00e+00 1.79e-02f 1\n", + " 89r-9.1966953e+00 1.35e+01 7.11e+02 -6.9 5.84e+01 - 8.72e-01 2.12e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r-9.2140080e+00 1.35e+01 7.04e+02 -6.9 8.94e+01 - 8.49e-02 7.47e-03h 1\n", + " 91r-9.2140069e+00 1.35e+01 3.24e+02 -6.9 2.60e+01 -2.2 8.71e-01 9.33e-06h 1\n", + " 92r-8.9786448e+00 3.99e+01 2.76e+02 -6.9 7.44e+01 - 7.11e-03 1.03e-01f 1\n", + " 93r-8.9786438e+00 3.99e+01 7.48e+02 -6.9 4.50e+01 -2.7 1.00e+00 1.22e-06h 1\n", + " 94r-9.0342265e+00 3.75e+01 7.36e+02 -6.9 7.53e+01 - 1.00e+00 6.51e-02f 1\n", + " 95r-9.0425122e+00 3.71e+01 7.29e+02 -6.9 6.45e+01 - 1.00e+00 1.16e-02h 1\n", + " 96r-9.1205082e+00 3.32e+01 6.70e+02 -6.9 6.29e+01 - 1.00e+00 1.14e-01f 1\n", + " 97r-9.1247914e+00 3.29e+01 6.44e+02 -6.9 5.34e+01 - 1.00e+00 8.26e-03h 1\n", + " 98r-9.1647700e+00 3.04e+01 6.64e+02 -6.9 4.96e+01 - 1.00e+00 8.03e-02h 1\n", + " 99r-9.1831974e+00 2.89e+01 6.75e+02 -6.9 2.72e+01 - 1.00e+00 5.06e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r-9.1962027e+00 2.75e+01 6.78e+02 -6.9 1.13e+01 - 1.00e+00 5.30e-02h 1\n", + " 101r-9.3586914e+00 2.29e+01 5.39e+01 -6.9 1.16e+01 - 1.00e+00 1.00e+00h 1\n", + " 102r-8.3335010e+00 4.09e+01 2.81e+01 -6.9 3.09e+01 - 1.00e+00 1.00e+00h 1\n", + " 103r-8.4325237e+00 9.52e-01 6.76e-01 -6.9 2.20e+01 - 1.00e+00 1.00e+00h 1\n", + " 104r-8.4333437e+00 1.18e-02 5.99e-04 -6.9 1.37e+00 - 1.00e+00 1.00e+00h 1\n", + " 105r-8.4333666e+00 1.18e-02 6.04e-09 -6.9 4.59e-04 - 1.00e+00 1.00e+00h 1\n", + " 106r-8.4333670e+00 1.18e-02 4.16e-02 -9.0 5.33e-06 - 1.00e+00 1.00e+00f 1\n", + " 107r-5.2737198e+00 8.49e+01 9.16e+01 -9.0 1.76e+02 - 1.00e+00 7.53e-01f 1\n", + " 108r-5.2737198e+00 8.49e+01 1.00e+03 -9.0 4.68e+02 - 0.00e+00 3.59e-10R 2\n", + " 109r-7.6410002e+00 1.52e+01 1.00e+03 -9.0 7.88e+05 - 1.92e-12 1.08e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r-7.4565299e+00 1.14e+01 9.64e+02 -9.0 3.70e+04 - 1.00e+00 1.07e-04f 1\n", + " 111r-7.4070132e+00 1.11e+01 9.01e+02 -9.0 6.53e+02 - 1.00e+00 2.30e-02f 1\n", + " 112r-7.4020039e+00 1.10e+01 8.93e+02 -9.0 1.36e+00 - 1.00e+00 7.75e-03f 1\n", + " 113r-7.3324927e+00 9.79e+00 6.92e+02 -9.0 1.34e+00 - 1.00e+00 1.07e-01f 1\n", + " 114r-6.6642782e+00 1.33e+00 1.19e-04 -9.0 1.16e+00 - 1.00e+00 1.00e+00h 1\n", + " 115r-6.5003768e+00 5.25e-02 4.29e-06 -9.0 2.29e-01 - 1.00e+00 1.00e+00h 1\n", + " 116r-6.4930699e+00 9.57e-05 1.52e-08 -9.0 9.78e-03 - 1.00e+00 1.00e+00h 1\n", + " 117r-6.4930565e+00 3.21e-10 3.14e-13 -9.0 1.79e-05 - 1.00e+00 1.00e+00h 1\n", + "Cannot recompute multipliers for feasibility problem. Error in eq_mult_calculator\n", + "\n", + "Number of Iterations....: 117\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -1.3237050371369904e+01 -1.3237050371369904e+01\n", - "Dual infeasibility......: 2.6687985155149363e-10 2.6687985155149363e-10\n", - "Constraint violation....: 5.8136038205702789e-09 5.8136038205702789e-09\n", + "Objective...............: -6.4930564983096177e+00 -6.4930564983096177e+00\n", + "Dual infeasibility......: 2.8818676410297761e+00 2.8818676410297761e+00\n", + "Constraint violation....: 3.2059688237495720e-10 3.2059688237495720e-10\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 5.8136038205702789e-09 5.8136038205702789e-09\n", + "Overall NLP error.......: 3.2059688237495720e-10 2.8818676410297761e+00\n", "\n", "\n", - "Number of objective function evaluations = 571\n", - "Number of objective gradient evaluations = 6\n", - "Number of equality constraint evaluations = 571\n", + "Number of objective function evaluations = 120\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 121\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 388\n", + "Number of equality constraint Jacobian evaluations = 119\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 386\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 4.402\n", - "Total CPU secs in NLP function evaluations = 0.447\n", + "Number of Lagrangian Hessian evaluations = 117\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 1.124\n", + "Total CPU secs in NLP function evaluations = 0.142\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -1629,23 +1075,23 @@ "name": "stdout", "output_type": "stream", "text": [ - "FIM: [[ 34.82843309 8.984655 -93.24076113 -36.95321436]\n", - " [ 8.984655 34.72022839 -19.10068151 -169.3211828 ]\n", - " [ -93.24076113 -19.10068151 261.9835756 82.95162856]\n", - " [ -36.95321436 -169.3211828 82.95162856 876.13508114]]\n", - "Trace: 1207.6673182276875\n", - "Determinant: 560761.169565876\n", - "Condition number: 1016.6953775260088\n", - "Minimal eigen value: 0.9075873179593128\n", - "Eigen values: [9.22739831e+02 2.81642446e+02 9.07587318e-01 2.37745409e+00]\n", - "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", - " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", - " [-0.13533434 0.93253239 -0.26619814 0.20299388]\n", - " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", - "Model objective: 13.237050371369904\n", - "Objective(trace) is: 560761.1696834561\n", + "FIM: [[ 17.66556334 18.74694576 -30.08229217 -76.6249341 ]\n", + " [ 18.74694576 30.76060367 -30.0321233 -124.73075662]\n", + " [ -30.08229217 -30.0321233 52.037396 123.27864319]\n", + " [ -76.6249341 -124.73075662 123.27864319 513.23289711]]\n", + "Trace: 613.696460122052\n", + "Determinant: 660.5392178909927\n", + "Condition number: 6041.624648957865\n", + "Minimal eigen value: 0.09711364246679273\n", + "Eigen values: [5.86724176e+02 2.64366622e+01 9.71136425e-02 4.38508241e-01]\n", + "Eigen vectors: [[ 0.14566483 0.44039769 0.86466461 0.19283862]\n", + " [ 0.22710147 -0.06219395 -0.21781816 0.94716001]\n", + " [-0.23618139 -0.85408186 0.45151616 0.1043824 ]\n", + " [-0.93350149 0.26967751 -0.03230345 0.23410574]]\n", + "Model objective: 6.493056498309618\n", + "Objective(determinant) is: 660.5392179206082\n", "Solution of CA0 : [5]\n", - "Solution of T : [500]\n", + "Solution of T : [570.21, 300, 300, 300, 300, 300, 300, 300, 300]\n", "======problem solver output======\n", "converged\n", "Ipopt 3.13.3: linear_solver=ma57\n", @@ -1660,88 +1106,87 @@ "\n", "This is Ipopt version 3.13.3, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 25168\n", + "Number of nonzeros in equality constraint Jacobian...: 25152\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", "Number of nonzeros in Lagrangian Hessian.............: 1931\n", "\n", - "Reallocating memory for MA57: lfact (322524)\n", + "Reallocating memory for MA57: lfact (321469)\n", + "Reallocating memory for MA57: lfact (338851)\n", "Total number of variables............................: 6416\n", " variables with only lower bounds: 2316\n", " variables with lower and upper bounds: 98\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6414\n", + "Total number of equality constraints.................: 6406\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.3237050e+01 4.38e-01 1.59e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (347535)\n", - " 1 -1.3250603e+01 3.62e-01 8.68e+00 -1.0 1.09e+01 - 9.59e-01 1.73e-01h 1\n", - " 2 -1.3263724e+01 1.76e-01 2.08e+01 -1.0 3.71e+01 - 5.88e-01 1.00e+00H 1\n", - " 3 -1.3300325e+01 2.76e+01 4.10e+02 -1.0 9.15e+01 - 3.84e-01 8.86e-01f 1\n", - " 4 -1.3249541e+01 1.75e+01 1.38e+02 -1.0 7.34e+01 - 5.85e-01 1.00e+00f 1\n", - " 5 -1.3249182e+01 5.54e+01 1.94e+02 -1.0 1.81e+02 - 4.67e-01 1.00e+00f 1\n", - " 6 -1.3182923e+01 2.26e+01 2.77e+01 -1.0 1.26e+02 - 6.17e-01 1.00e+00f 1\n", - " 7 -1.3144218e+01 5.70e+01 1.96e+01 -1.0 2.45e+02 - 6.06e-01 1.00e+00f 1\n", - " 8 -1.3075336e+01 1.41e+01 3.15e+01 -1.0 5.98e+01 - 6.42e-01 1.00e+00f 1\n", - " 9 -1.3102315e+01 6.31e+00 1.75e+01 -1.0 2.58e+01 - 8.16e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.3128189e+01 1.96e+00 5.94e-01 -1.0 6.77e+01 - 1.00e+00 1.00e+00h 1\n", - " 11 -1.3135808e+01 2.02e-02 8.59e-03 -1.0 5.94e+00 - 1.00e+00 1.00e+00h 1\n", - " 12 -1.3135967e+01 6.96e-05 8.73e-03 -2.5 2.77e-01 - 1.00e+00 1.00e+00h 1\n", - " 13 -1.3142004e+01 1.23e-01 1.74e-01 -3.8 1.26e+01 - 9.79e-01 1.00e+00h 1\n", - " 14 -1.3143769e+01 1.30e-03 7.35e-04 -3.8 1.54e+00 -4.0 1.00e+00 1.00e+00h 1\n", - " 15 -1.3146132e+01 1.38e-02 6.25e-03 -5.7 4.57e+00 -4.5 9.87e-01 1.00e+00h 1\n", - " 16 -1.3154238e+01 1.62e-01 5.07e-02 -5.7 1.61e+01 -5.0 1.00e+00 1.00e+00h 1\n", - " 17 -1.3192687e+01 3.08e+00 9.46e-01 -5.7 7.46e+01 -5.4 1.00e+00 1.00e+00h 1\n", - " 18 -1.3220928e+01 3.80e+00 1.16e+00 -5.7 1.10e+03 -5.9 2.69e-01 3.96e-02h 1\n", - " 19 -1.3231006e+01 6.29e-02 4.88e-02 -5.7 3.48e+00 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.3237631e+01 3.80e-02 1.36e-02 -5.7 9.12e+00 - 1.00e+00 1.00e+00h 1\n", - " 21 -1.3237666e+01 4.95e-06 3.18e-06 -5.7 7.63e-02 - 1.00e+00 1.00e+00h 1\n", - " 22 -1.3237847e+01 2.69e-05 1.07e-05 -8.6 2.43e-01 - 1.00e+00 1.00e+00h 1\n", - " 23 -1.3237847e+01 1.49e-11 5.33e-12 -8.6 1.77e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 23\n", + " 0 -6.4930565e+00 1.18e-01 3.88e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -6.5487375e+00 1.02e-01 7.81e+00 -1.0 6.51e+01 - 9.46e-01 1.39e-01h 1\n", + " 2 -7.5629361e+00 3.41e+01 1.41e+02 -1.0 2.26e+02 - 6.92e-01 1.00e+00f 1\n", + " 3 -8.0125659e+00 9.95e+01 2.48e+02 -1.0 2.83e+02 - 1.00e+00 9.30e-01f 1\n", + " 4 -7.0801941e+00 7.14e+01 2.81e+02 -1.0 1.45e+02 - 1.00e+00 1.00e+00h 1\n", + " 5 -6.4731103e+00 2.81e+00 5.77e+01 -1.0 1.17e+01 - 1.00e+00 1.00e+00h 1\n", + " 6 -6.0107196e+00 1.55e-01 2.91e+01 -1.0 1.63e+01 - 1.00e+00 1.00e+00h 1\n", + " 7 -5.9936646e+00 2.57e-02 1.40e+01 -1.0 4.76e+00 - 1.00e+00 1.00e+00h 1\n", + " 8 -5.9962255e+00 4.44e-05 2.75e-03 -1.0 5.18e-02 - 1.00e+00 1.00e+00h 1\n", + " 9 -6.3446137e+00 7.25e-01 1.40e+02 -2.5 3.00e+01 - 8.90e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -7.0667990e+00 5.60e+00 4.60e+02 -2.5 3.45e+01 - 1.00e+00 1.00e+00h 1\n", + " 11 -7.5339327e+00 1.19e+01 2.31e+01 -2.5 2.64e+01 - 1.00e+00 1.00e+00h 1\n", + " 12 -7.4456072e+00 2.54e-01 2.75e+00 -2.5 1.65e+01 - 1.00e+00 1.00e+00h 1\n", + " 13 -7.4397514e+00 4.60e-04 2.36e-02 -2.5 1.45e+00 - 1.00e+00 1.00e+00h 1\n", + " 14 -7.5767128e+00 2.82e+00 3.62e+01 -3.8 2.15e+01 - 8.92e-01 1.00e+00f 1\n", + " 15 -7.5903387e+00 2.51e-01 2.37e-01 -3.8 1.19e+01 - 1.00e+00 1.00e+00h 1\n", + " 16 -7.5939799e+00 2.15e-03 2.48e-02 -3.8 4.12e+00 - 1.00e+00 1.00e+00h 1\n", + " 17 -7.5940301e+00 3.83e-05 9.16e-05 -3.8 5.52e-01 - 1.00e+00 1.00e+00h 1\n", + " 18 -7.6048778e+00 2.14e-02 1.75e-01 -5.7 5.06e+00 - 9.92e-01 1.00e+00h 1\n", + " 19 -7.6057068e+00 4.63e-04 1.58e-03 -5.7 1.95e+00 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -7.6057190e+00 8.98e-06 6.03e-06 -5.7 2.72e-01 - 1.00e+00 1.00e+00h 1\n", + " 21 -7.6058771e+00 3.21e-06 2.55e-05 -8.6 1.56e-01 - 1.00e+00 1.00e+00h 1\n", + " 22 -7.6058773e+00 5.25e-10 4.37e-10 -8.6 2.08e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 22\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -1.3237846622082674e+01 -1.3237846622082674e+01\n", - "Dual infeasibility......: 5.3290705182007514e-12 5.3290705182007514e-12\n", - "Constraint violation....: 1.0913936421275139e-11 1.4892975741531700e-11\n", - "Complementarity.........: 2.5059048858154309e-09 2.5059048858154309e-09\n", - "Overall NLP error.......: 2.5059048858154309e-09 2.5059048858154309e-09\n", + "Objective...............: -7.6058773095031240e+00 -7.6058773095031240e+00\n", + "Dual infeasibility......: 4.3731464045108103e-10 4.3731464045108103e-10\n", + "Constraint violation....: 5.2507265202450526e-10 5.2507265202450526e-10\n", + "Complementarity.........: 2.5096974999069994e-09 2.5096974999069994e-09\n", + "Overall NLP error.......: 2.5096974999069994e-09 2.5096974999069994e-09\n", "\n", "\n", - "Number of objective function evaluations = 26\n", - "Number of objective gradient evaluations = 24\n", - "Number of equality constraint evaluations = 26\n", + "Number of objective function evaluations = 23\n", + "Number of objective gradient evaluations = 23\n", + "Number of equality constraint evaluations = 23\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 24\n", + "Number of equality constraint Jacobian evaluations = 23\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 23\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.214\n", - "Total CPU secs in NLP function evaluations = 0.023\n", + "Number of Lagrangian Hessian evaluations = 22\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.198\n", + "Total CPU secs in NLP function evaluations = 0.027\n", "\n", "EXIT: Optimal Solution Found.\n", - "FIM: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", - " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", - " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", - " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n", - "Trace: 1981.0424592681254\n", - "Determinant: 561207.853977222\n", - "Condition number: 2950.220504105462\n", - "Minimal eigen value: 0.5016010464924008\n", - "Eigen values: [1.47983369e+03 4.99192614e+02 5.01601046e-01 1.51455219e+00]\n", - "Eigen vectors: [[-0.03538095 0.3120344 -0.77934566 0.54222049]\n", - " [-0.17098781 -0.01375256 0.56416591 0.80764526]\n", - " [ 0.09797729 -0.94433769 -0.25524836 0.18296187]\n", - " [ 0.97975089 0.10330402 0.09584074 0.14223581]]\n", - "Model objective: 13.237846622082674\n", - "Objective(trace) is: 561207.8539772539\n", + "FIM: [[ 17.22555255 14.38327112 -36.46377844 -71.12350272]\n", + " [ 14.38327112 34.96951087 -27.34621792 -169.60206821]\n", + " [ -36.46377844 -27.34621792 78.37663227 136.01315753]\n", + " [ -71.12350272 -169.60206821 136.01315753 829.48817501]]\n", + "Trace: 960.059870696678\n", + "Determinant: 2009.974490145707\n", + "Condition number: 7416.0392236954585\n", + "Minimal eigen value: 0.12066184870855438\n", + "Eigen values: [8.94833003e+02 6.48190115e+01 1.20661849e-01 2.87194536e-01]\n", + "Eigen vectors: [[ 0.08823439 0.39569315 0.88319678 0.23580728]\n", + " [ 0.19654998 -0.0457182 -0.2518595 0.94649075]\n", + " [-0.17069658 -0.89810224 0.39358015 0.09679724]\n", + " [-0.96148088 0.18641121 -0.04031014 0.19794059]]\n", + "Model objective: 7.605877309503124\n", + "Objective(determinant) is: 2009.9744901463853\n", "Solution of CA0 : [5.0]\n", - "Solution of T : [300.0000242851759]\n", + "Solution of T : [477.13450463920645, 300.0, 300.00000049721297, 300.00000226167623, 300.00000640380813, 300.00001517876314, 300.0000313763859, 300.000065678056, 300.000207674314]\n", "======problem solver output======\n", "converged\n" ] @@ -1752,12 +1197,12 @@ " ['CA','CB','CC'], t_measure, createmod,\n", " prior_FIM=prior_pass, discretize_model=disc)\n", "\n", - "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, scale_nominal_param_value=True, objective_option='trace', L_initial=None)\n" + "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, scale_nominal_param_value=True, objective_option='det', L_initial=None)\n" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 29, "id": "c6b08c05", "metadata": {}, "outputs": [ @@ -1767,13 +1212,25 @@ "text": [ "======Result summary======\n", "This optimization is solved with status: converged\n", - "It gives solution: {'CA0': [5.0], 'T': [300.0000242851759]}\n", - "The log10(OF) optimized is: 13.237846622082674\n", - "The result FIM is: [[ 51.20654061 7.25310602 -151.97486781 -35.12719512]\n", - " [ 7.25310602 44.50764054 -18.15692555 -248.41790943]\n", - " [-151.97486781 -18.15692555 459.45595083 93.38314749]\n", - " [ -35.12719512 -248.41790943 93.38314749 1425.87232729]]\n" + "It gives solution: {'CA0': [5.0], 'T': [477.13450463920645, 300.0, 300.00000049721297, 300.00000226167623, 300.00000640380813, 300.00001517876314, 300.0000313763859, 300.000065678056, 300.000207674314]}\n", + "The log10(OF) optimized is: 7.605877309503124\n", + "The result FIM is: [[ 17.22555255 14.38327112 -36.46377844 -71.12350272]\n", + " [ 14.38327112 34.96951087 -27.34621792 -169.60206821]\n", + " [ -36.46377844 -27.34621792 78.37663227 136.01315753]\n", + " [ -71.12350272 -169.60206821 136.01315753 829.48817501]]\n" ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ @@ -1781,9 +1238,56 @@ "print('This optimization is solved with status:', optimize_result.status)\n", "print('It gives solution:', optimize_result.solution)\n", "print('The log10(OF) optimized is:', optimize_result.obj_value)\n", - "print('The result FIM is:', optimize_result.FIM)" + "print('The result FIM is:', optimize_result.FIM)\n", + "\n", + "t_list = []\n", + "for t in optimize_result.model.t:\n", + " t_list.append(t)\n", + "\n", + "T_list = []\n", + "for i in t_list:\n", + " T_list.append(value(optimize_result.model.T[i]))\n", + "\n", + "si=16\n", + "plt.rc('axes', titlesize=si)\n", + "plt.rc('axes', labelsize=si)\n", + "plt.rc('xtick', labelsize=si)\n", + "plt.rc('ytick', labelsize=si)\n", + "plt.rc('legend', fontsize=12)\n", + " \n", + "plt.plot(t_list, T_list, 'b', linewidth=2)\n", + "#plt.scatter(t_list, T_list, 'b')\n", + "plt.ylabel('T [$K$]')\n", + "plt.xlabel('Time [$h$]')\n", + "plt.show()" ] }, + { + "cell_type": "code", + "execution_count": 33, + "id": "602167c6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-0.9184300249687846\n" + ] + } + ], + "source": [ + "print(np.log10(0.12066184870855438))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "96cc1869", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "id": "skilled-booking", @@ -1794,16 +1298,19 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "427c7dc8", "metadata": {}, "outputs": [], "source": [ - "design_ranges = [list(np.linspace(1,5,9)), list(np.linspace(300,700,9))]\n", + "#design_ranges = [list(np.linspace(1,5,9)), list(np.linspace(300,700,9))]\n", + "design_ranges = [list(np.linspace(300,700,9)), list(np.linspace(300, 700, 9))]\n", "\n", - "dv_apply_name = ['CA0','T']\n", + "#dv_apply_name = ['CA0','T']\n", + "dv_apply_name = ['T']\n", + "\n", + "#dv_apply_time = [[0],t_control]\n", "\n", - "dv_apply_time = [[0],t_control]\n", "\n", "# Define experiments\n", "if (model_opt=='dynamic-DAE'):\n", @@ -1814,1782 +1321,12 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "id": "dcfae212", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "81 design vectors will be searched.\n", - "=======This is the 1 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1562581062316895 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.58003272 5.48612156 -84.54627162 -24.46790912]\n", - " [ 5.48612156 27.13328151 -12.64771469 -143.60704229]\n", - " [ -84.54627162 -12.64771469 249.22249067 60.14898186]\n", - " [ -24.46790912 -143.60704229 60.14898186 793.6004921 ]]\n", - "Trace: 1099.5362969977725\n", - "Determinant: 151638.4943213679\n", - "Condition number: 1703.5708820968514\n", - "Minimal eigen value: 0.48581739042109506\n", - "Eigen values: [8.27624360e+02 2.70029455e+02 4.85817390e-01 1.39666420e+00]\n", - "Eigen vectors: [[ 0.04300749 -0.31822906 -0.77652374 0.54211761]\n", - " [ 0.17730502 0.01420751 0.56599113 0.80499386]\n", - " [-0.1117473 0.94040674 -0.25890023 0.19004834]\n", - " [-0.97684483 -0.1190108 0.09816107 0.1482397 ]]\n", - "This is the 1 run out of 81 run.\n", - "The code has run 1.1607 seconds.\n", - "Estimated remaining time: 92.8597 seconds\n", - "=======This is the 2 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2791168689727783 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.32275018 5.73052082 -83.45733449 -25.66817709]\n", - " [ 5.73052082 27.64850163 -13.26806928 -145.64721142]\n", - " [ -83.45733449 -13.26806928 245.06096284 63.15882951]\n", - " [ -25.66817709 -145.64721142 63.15882951 800.38603338]]\n", - "Trace: 1102.4182480406644\n", - "Determinant: 150855.125045628\n", - "Condition number: 1705.3048930035557\n", - "Minimal eigen value: 0.48997231855823686\n", - "Eigen values: [8.35552192e+02 2.64985514e+02 4.89972319e-01 1.39056985e+00]\n", - "Eigen vectors: [[ 0.04421991 -0.31912029 -0.77638562 0.54169383]\n", - " [ 0.17820018 0.01472016 0.5657347 0.80496724]\n", - " [-0.1146775 0.93969452 -0.2597058 0.19072538]\n", - " [-0.97628805 -0.12214649 0.0986028 0.14906159]]\n", - "This is the 2 run out of 81 run.\n", - "The code has run 2.4422 seconds.\n", - "Estimated remaining time: 96.4665 seconds\n", - "=======This is the 3 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2578837871551514 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.13959316 5.68057605 -82.8139664 -25.23666085]\n", - " [ 5.68057605 27.27296764 -13.04504074 -143.14725332]\n", - " [ -82.8139664 -13.04504074 242.98173477 61.60044815]\n", - " [ -25.23666085 -143.14725332 61.60044815 784.93406012]]\n", - "Trace: 1084.3283557002067\n", - "Determinant: 152039.07832960782\n", - "Condition number: 1641.2051904546718\n", - "Minimal eigen value: 0.4993357281605193\n", - "Eigen values: [8.19512389e+02 2.62903408e+02 4.99335728e-01 1.41322349e+00]\n", - "Eigen vectors: [[ 0.04447521 -0.31931057 -0.77803254 0.53919206]\n", - " [ 0.17859423 0.01458837 0.56323502 0.80663349]\n", - " [-0.11473313 0.93961044 -0.26036328 0.19020907]\n", - " [-0.97619791 -0.12231173 0.09819695 0.14978263]]\n", - "This is the 3 run out of 81 run.\n", - "The code has run 3.7027 seconds.\n", - "Estimated remaining time: 96.2691 seconds\n", - "=======This is the 4 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3476462364196777 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.01044333 5.6006748 -82.42582703 -24.78056053]\n", - " [ 5.6006748 26.92260118 -12.8093067 -141.30405073]\n", - " [ -82.42582703 -12.8093067 241.89507006 60.33727148]\n", - " [ -24.78056053 -141.30405073 60.33727148 775.5570763 ]]\n", - "Trace: 1073.3851908623308\n", - "Determinant: 152189.04419265324\n", - "Condition number: 1609.9994023835127\n", - "Minimal eigen value: 0.5028391663221075\n", - "Eigen values: [8.09570757e+02 2.61884047e+02 5.02839166e-01 1.42754706e+00]\n", - "Eigen vectors: [[ 0.04433757 -0.31929264 -0.77731938 0.54024159]\n", - " [ 0.17845201 0.014419 0.56435213 0.80588687]\n", - " [-0.1142325 0.93968376 -0.2600425 0.19058663]\n", - " [-0.97628889 -0.12181434 0.09828098 0.14953969]]\n", - "This is the 4 run out of 81 run.\n", - "The code has run 5.0535 seconds.\n", - "Estimated remaining time: 97.2792 seconds\n", - "=======This is the 5 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5459139347076416 s.\n", - "Existed information has been added.\n", - "FIM: [[ 28.92490828 5.55538372 -82.19690664 -24.54095093]\n", - " [ 5.55538372 26.74178551 -12.68546547 -140.44317569]\n", - " [ -82.19690664 -12.68546547 241.32359269 59.73172413]\n", - " [ -24.54095093 -140.44317569 59.73172413 771.61101462]]\n", - "Trace: 1068.6013010931579\n", - "Determinant: 151629.20405875487\n", - "Condition number: 1602.4379552920132\n", - "Minimal eigen value: 0.5025670284947488\n", - "Eigen values: [8.05332482e+02 2.61332679e+02 5.02567028e-01 1.43357337e+00]\n", - "Eigen vectors: [[ 0.04419056 -0.31920854 -0.77605387 0.54211945]\n", - " [ 0.17828909 0.01431314 0.56629712 0.80455932]\n", - " [-0.11385326 0.93976516 -0.25949412 0.19115878]\n", - " [-0.97636962 -0.12141862 0.09854321 0.14916141]]\n", - "This is the 5 run out of 81 run.\n", - "The code has run 6.6020 seconds.\n", - "Estimated remaining time: 100.3506 seconds\n", - "=======This is the 6 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.440709114074707 s.\n", - "Existed information has been added.\n", - "FIM: [[ 28.86882939 5.53037525 -82.05970295 -24.41164554]\n", - " [ 5.53037525 26.64172746 -12.6186346 -140.0045525 ]\n", - " [ -82.05970295 -12.6186346 241.01199885 59.42386584]\n", - " [ -24.41164554 -140.0045525 59.42386584 769.77181902]]\n", - "Trace: 1066.294374711943\n", - "Determinant: 150651.09426599584\n", - "Condition number: 1605.4640856393876\n", - "Minimal eigen value: 0.5003756301004131\n", - "Eigen values: [8.03335103e+02 2.61023074e+02 5.00375630e-01 1.43582164e+00]\n", - "Eigen vectors: [[ 0.04408811 -0.31912119 -0.77484501 0.54390542]\n", - " [ 0.17816725 0.0142491 0.56813973 0.80328739]\n", - " [-0.11361614 0.93982827 -0.25897468 0.19169326]\n", - " [-0.97642411 -0.12116701 0.09881581 0.14882859]]\n", - "This is the 6 run out of 81 run.\n", - "The code has run 8.0455 seconds.\n", - "Estimated remaining time: 100.5691 seconds\n", - "=======This is the 7 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4088640213012695 s.\n", - "Existed information has been added.\n", - "FIM: [[ 28.83024839 5.51197609 -81.9726446 -24.32382628]\n", - " [ 5.51197609 26.57520042 -12.57324566 -139.74017115]\n", - " [ -81.9726446 -12.57324566 240.83051064 59.23199143]\n", - " [ -24.32382628 -139.74017115 59.23199143 768.76471335]]\n", - "Trace: 1065.0006727945133\n", - "Determinant: 149413.08866872228\n", - "Condition number: 1612.3033965284394\n", - "Minimal eigen value: 0.4975647310687059\n", - "Eigen values: [8.02225306e+02 2.60842762e+02 4.97564731e-01 1.43503967e+00]\n", - "Eigen vectors: [[ 0.04400313 -0.31904919 -0.77362392 0.54568981]\n", - " [ 0.17807049 0.01421057 0.56997784 0.80200637]\n", - " [-0.11343891 0.93987811 -0.25847425 0.19222854]\n", - " [-0.9764662 -0.12097442 0.09910778 0.14851464]]\n", - "This is the 7 run out of 81 run.\n", - "The code has run 9.4571 seconds.\n", - "Estimated remaining time: 99.9749 seconds\n", - "=======This is the 8 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.6031749248504639 s.\n", - "Existed information has been added.\n", - "FIM: [[ 28.80018525 5.49300764 -81.91123719 -24.24793267]\n", - " [ 5.49300764 26.52345436 -12.53402042 -139.55761761]\n", - " [ -81.91123719 -12.53402042 240.71385582 59.08679739]\n", - " [ -24.24793267 -139.55761761 59.08679739 768.1403749 ]]\n", - "Trace: 1064.1778703392624\n", - "Determinant: 147983.78531466573\n", - "Condition number: 1619.2882874718866\n", - "Minimal eigen value: 0.49498422928574204\n", - "Eigen values: [8.01522165e+02 2.60730128e+02 4.94984229e-01 1.43059273e+00]\n", - "Eigen vectors: [[ 0.04391558 -0.31898969 -0.77249369 0.54733034]\n", - " [ 0.17798693 0.01419347 0.57166177 0.80082584]\n", - " [-0.11327681 0.93992205 -0.25802797 0.19270827]\n", - " [-0.97650419 -0.12079184 0.09938759 0.14822618]]\n", - "This is the 8 run out of 81 run.\n", - "The code has run 11.0630 seconds.\n", - "Estimated remaining time: 100.9497 seconds\n", - "=======This is the 9 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.4888241291046143 s.\n", - "Existed information has been added.\n", - "FIM: [[ 28.77447266 5.4733019 -81.86441559 -24.18097488]\n", - " [ 5.4733019 26.4829594 -12.4994136 -139.4302313 ]\n", - " [ -81.86441559 -12.4994136 240.63335596 58.97428567]\n", - " [ -24.18097488 -139.4302313 58.97428567 767.74785482]]\n", - "Trace: 1063.638642847519\n", - "Determinant: 146507.48646152133\n", - "Condition number: 1624.9104501935346\n", - "Minimal eigen value: 0.49299236417422976\n", - "Eigen values: [8.01068444e+02 2.60653941e+02 4.92992364e-01 1.42326479e+00]\n", - "Eigen vectors: [[ 0.04382893 -0.31893711 -0.7717461 0.54842146]\n", - " [ 0.17791815 0.01419374 0.57277173 0.80004764]\n", - " [-0.11313087 0.93996168 -0.25773099 0.19299787]\n", - " [-0.97653754 -0.12062212 0.09957529 0.14801858]]\n", - "This is the 9 run out of 81 run.\n", - "The code has run 12.5543 seconds.\n", - "Estimated remaining time: 100.4341 seconds\n", - "=======This is the 10 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1293039321899414 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.70641355 5.57815178 -88.05817863 -25.02307897]\n", - " [ 5.57815178 28.03819545 -12.93465209 -149.06593851]\n", - " [ -88.05817863 -12.93465209 260.17215396 61.87992411]\n", - " [ -25.02307897 -149.06593851 61.87992411 826.53130085]]\n", - "Trace: 1145.4480638161667\n", - "Determinant: 166581.38467009662\n", - "Condition number: 1768.1232464410234\n", - "Minimal eigen value: 0.48728421389676346\n", - "Eigen values: [8.61578546e+02 2.81975090e+02 4.87284214e-01 1.40714388e+00]\n", - "Eigen vectors: [[ 0.04232893 -0.31766896 -0.77678944 0.54211886]\n", - " [ 0.17674052 0.01415152 0.56581838 0.80524039]\n", - " [-0.11053633 0.94077102 -0.25856259 0.18941223]\n", - " [-0.97711451 -0.11762676 0.09794444 0.14770939]]\n", - "This is the 10 run out of 81 run.\n", - "The code has run 13.6861 seconds.\n", - "Estimated remaining time: 97.1714 seconds\n", - "=======This is the 11 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2495448589324951 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.12752784 6.12805011 -85.60807009 -27.7236819 ]\n", - " [ 6.12805011 29.19744073 -14.3304499 -153.65631904]\n", - " [ -85.60807009 -14.3304499 250.80871635 68.65208131]\n", - " [ -27.7236819 -153.65631904 68.65208131 841.79876875]]\n", - "Trace: 1151.9324536678646\n", - "Determinant: 164685.70018609465\n", - "Condition number: 1771.4801724742997\n", - "Minimal eigen value: 0.4964321047417337\n", - "Eigen values: [8.79419631e+02 2.70622477e+02 4.96432105e-01 1.39391410e+00]\n", - "Eigen vectors: [[ 0.04491711 -0.31961785 -0.77643054 0.54127858]\n", - " [ 0.17866548 0.01524896 0.5653439 0.8051288 ]\n", - " [-0.11677295 0.93923424 -0.26030484 0.19090448]\n", - " [-0.97592273 -0.12430185 0.09891048 0.14946769]]\n", - "This is the 11 run out of 81 run.\n", - "The code has run 14.9380 seconds.\n", - "Estimated remaining time: 95.0602 seconds\n", - "=======This is the 12 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2421467304229736 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.71542453 6.01567437 -84.16049376 -26.75276831]\n", - " [ 6.01567437 28.35248924 -13.82864007 -148.03140872]\n", - " [ -84.16049376 -13.82864007 246.13046204 65.14573844]\n", - " [ -26.75276831 -148.03140872 65.14573844 807.03178755]]\n", - "Trace: 1111.2301633637778\n", - "Determinant: 167498.06622292424\n", - "Condition number: 1630.10789521531\n", - "Minimal eigen value: 0.5173475296016143\n", - "Eigen values: [8.43332293e+02 2.65936913e+02 5.17347530e-01 1.44361061e+00]\n", - "Eigen vectors: [[ 0.04551309 -0.32004255 -0.77992286 0.53593064]\n", - " [ 0.17954663 0.01498612 0.56000596 0.80866047]\n", - " [-0.11700624 0.93903051 -0.26172257 0.18982237]\n", - " [-0.97570544 -0.12477931 0.09805588 0.15104325]]\n", - "This is the 12 run out of 81 run.\n", - "The code has run 16.1825 seconds.\n", - "Estimated remaining time: 93.0493 seconds\n", - "=======This is the 13 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.296886920928955 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.42483742 5.83589657 -83.2871783 -25.72654463]\n", - " [ 5.83589657 27.56416471 -13.29823411 -143.88420751]\n", - " [ -83.2871783 -13.29823411 243.68545756 62.30357572]\n", - " [ -25.72654463 -143.88420751 62.30357572 785.93361533]]\n", - "Trace: 1086.6080750185051\n", - "Determinant: 167875.11552651896\n", - "Condition number: 1562.4478475438566\n", - "Minimal eigen value: 0.5254321774225026\n", - "Eigen values: [8.20960375e+02 2.63646133e+02 5.25432177e-01 1.47613493e+00]\n", - "Eigen vectors: [[ 0.04524413 -0.3200065 -0.77844675 0.53811659]\n", - " [ 0.17925728 0.01462011 0.56233951 0.8071105 ]\n", - " [-0.11598236 0.93918215 -0.26104818 0.19062748]\n", - " [-0.97589338 -0.12376989 0.09822824 0.1505468 ]]\n", - "This is the 13 run out of 81 run.\n", - "The code has run 17.4831 seconds.\n", - "Estimated remaining time: 91.4502 seconds\n", - "=======This is the 14 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4413409233093262 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.23238356 5.73399164 -82.77210745 -25.18742309]\n", - " [ 5.73399164 27.15732946 -13.01959137 -141.94723866]\n", - " [ -82.77210745 -13.01959137 242.39963353 60.94109427]\n", - " [ -25.18742309 -141.94723866 60.94109427 777.05497655]]\n", - "Trace: 1075.8443231042434\n", - "Determinant: 166559.47639777444\n", - "Condition number: 1545.6906074240526\n", - "Minimal eigen value: 0.5249576134254763\n", - "Eigen values: [8.11422052e+02 2.62407189e+02 5.24957613e-01 1.49012456e+00]\n", - "Eigen vectors: [[ 0.04492884 -0.31982184 -0.77575625 0.54212326]\n", - " [ 0.17890315 0.01438423 0.56649127 0.80428503]\n", - " [-0.11516394 0.93936059 -0.2598682 0.19185273]\n", - " [-0.97606984 -0.12291775 0.09878462 0.14973475]]\n", - "This is the 14 run out of 81 run.\n", - "The code has run 18.9269 seconds.\n", - "Estimated remaining time: 90.5786 seconds\n", - "=======This is the 15 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3052539825439453 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.10620604 5.67772258 -82.46339932 -24.89648593]\n", - " [ 5.67772258 26.93219884 -12.86922226 -140.9603365 ]\n", - " [ -82.46339932 -12.86922226 241.69854807 60.24841433]\n", - " [ -24.89648593 -140.9603365 60.24841433 772.91678654]]\n", - "Trace: 1070.65373948992\n", - "Determinant: 164251.619804841\n", - "Condition number: 1551.5407215360776\n", - "Minimal eigen value: 0.5200809843403219\n", - "Eigen values: [8.06926826e+02 2.61711348e+02 5.20080984e-01 1.49548471e+00]\n", - "Eigen vectors: [[ 0.04470411 -0.31962802 -0.77317125 0.54593561]\n", - " [ 0.17863376 0.01423995 0.57042457 0.80156286]\n", - " [-0.11464267 0.93950088 -0.25874541 0.19299216]\n", - " [-0.97619085 -0.12236526 0.09936214 0.14901452]]\n", - "This is the 15 run out of 81 run.\n", - "The code has run 20.2344 seconds.\n", - "Estimated remaining time: 89.0315 seconds\n", - "=======This is the 16 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.364772081375122 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.0193988 5.63632446 -82.26751782 -24.69889258]\n", - " [ 5.63632446 26.78251299 -12.76709673 -140.36547844]\n", - " [ -82.26751782 -12.76709673 241.29019885 59.81669556]\n", - " [ -24.69889258 -140.36547844 59.81669556 770.65079868]]\n", - "Trace: 1067.7429093235437\n", - "Determinant: 161334.89807169262\n", - "Condition number: 1565.79882549867\n", - "Minimal eigen value: 0.5137499671366336\n", - "Eigen values: [8.04429095e+02 2.61306103e+02 5.13749967e-01 1.49396075e+00]\n", - "Eigen vectors: [[ 0.04451555 -0.31946758 -0.77054608 0.54974319]\n", - " [ 0.17841813 0.01415267 0.57434597 0.79880748]\n", - " [-0.11424927 0.93961231 -0.25766109 0.19413028]\n", - " [-0.97628502 -0.12193796 0.0999811 0.14833231]]\n", - "This is the 16 run out of 81 run.\n", - "The code has run 21.6016 seconds.\n", - "Estimated remaining time: 87.7565 seconds\n", - "=======This is the 17 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.6165111064910889 s.\n", - "Existed information has been added.\n", - "FIM: [[ 28.95175675 5.59364544 -82.12935116 -24.52813197]\n", - " [ 5.59364544 26.66608437 -12.67883997 -139.95473299]\n", - " [ -82.12935116 -12.67883997 241.02772555 59.49000905]\n", - " [ -24.52813197 -139.95473299 59.49000905 769.24603721]]\n", - "Trace: 1065.8916038711552\n", - "Determinant: 157986.53907653803\n", - "Condition number: 1580.7201252527295\n", - "Minimal eigen value: 0.5078992315221698\n", - "Eigen values: [8.02846537e+02 2.61053006e+02 5.07899232e-01 1.48416195e+00]\n", - "Eigen vectors: [[ 0.04431997 -0.31933472 -0.76807456 0.55328342]\n", - " [ 0.17823113 0.01411361 0.5779786 0.7962256 ]\n", - " [-0.11388728 0.93971088 -0.25668156 0.19516077]\n", - " [-0.97637037 -0.12153025 0.10058223 0.1476974 ]]\n", - "This is the 17 run out of 81 run.\n", - "The code has run 23.2205 seconds.\n", - "Estimated remaining time: 87.4185 seconds\n", - "=======This is the 18 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.408884048461914 s.\n", - "Existed information has been added.\n", - "FIM: [[ 28.89390341 5.54930753 -82.02400255 -24.37747694]\n", - " [ 5.54930753 26.57497071 -12.60097464 -139.66811378]\n", - " [ -82.02400255 -12.60097464 240.84660087 59.23685769]\n", - " [ -24.37747694 -139.66811378 59.23685769 768.362867 ]]\n", - "Trace: 1064.6783419866704\n", - "Determinant: 154556.86878195836\n", - "Condition number: 1592.9075104447347\n", - "Minimal eigen value: 0.5033721886008624\n", - "Eigen values: [8.01825340e+02 2.60881801e+02 5.03372189e-01 1.46782923e+00]\n", - "Eigen vectors: [[ 0.0441257 -0.3192171 -0.76637353 0.55572023]\n", - " [ 0.17807683 0.01411373 0.58045733 0.79445499]\n", - " [-0.11356021 0.93979995 -0.25600742 0.19580686]\n", - " [-0.97644541 -0.12114987 0.10100051 0.14722759]]\n", - "This is the 18 run out of 81 run.\n", - "The code has run 24.6323 seconds.\n", - "Estimated remaining time: 86.2129 seconds\n", - "=======This is the 19 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.097017765045166 s.\n", - "Existed information has been added.\n", - "FIM: [[ 32.28334671 5.70699409 -92.97484844 -25.80031677]\n", - " [ 5.70699409 29.30507497 -13.33636445 -156.70839321]\n", - " [ -92.97484844 -13.33636445 275.50168257 64.30324325]\n", - " [ -25.80031677 -156.70839321 64.30324325 872.63443311]]\n", - "Trace: 1209.7245373595783\n", - "Determinant: 188680.91170914198\n", - "Condition number: 1858.616320831994\n", - "Minimal eigen value: 0.48913747009914166\n", - "Eigen values: [9.09118885e+02 2.98695996e+02 4.89137470e-01 1.42051869e+00]\n", - "Eigen vectors: [[ 0.04146304 -0.31695699 -0.77712411 0.54212287]\n", - " [ 0.17602088 0.01408456 0.56560106 0.80555181]\n", - " [-0.10898703 0.94123169 -0.25813549 0.18860223]\n", - " [-0.97745552 -0.1158568 0.09767104 0.14703155]]\n", - "This is the 19 run out of 81 run.\n", - "The code has run 25.7321 seconds.\n", - "Estimated remaining time: 83.9677 seconds\n", - "=======This is the 20 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2372121810913086 s.\n", - "Existed information has been added.\n", - "FIM: [[ 31.25421656 6.68459112 -88.61909992 -30.60138864]\n", - " [ 6.68459112 31.36595547 -15.81778278 -164.86906971]\n", - " [ -88.61909992 -15.81778278 258.85557126 76.34263383]\n", - " [ -30.60138864 -164.86906971 76.34263383 899.77659826]]\n", - "Trace: 1221.2523415411317\n", - "Determinant: 184979.52586245077\n", - "Condition number: 1863.3156848542435\n", - "Minimal eigen value: 0.5049297243111703\n", - "Eigen values: [9.40843475e+02 2.78505828e+02 5.04929724e-01 1.39810909e+00]\n", - "Eigen vectors: [[ 0.04575816 -0.32029107 -0.77638665 0.54087299]\n", - " [ 0.17924367 0.01591336 0.56497666 0.80524521]\n", - " [-0.11929887 0.93864685 -0.26107427 0.19118079]\n", - " [-0.97547203 -0.12689556 0.09932456 0.14995489]]\n", - "This is the 20 run out of 81 run.\n", - "The code has run 26.9726 seconds.\n", - "Estimated remaining time: 82.2663 seconds\n", - "=======This is the 21 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3380639553070068 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.52158843 6.48481199 -86.0456274 -28.87532344]\n", - " [ 6.48481199 29.86381946 -14.92566842 -154.8692371 ]\n", - " [ -86.0456274 -14.92566842 250.53865847 70.10910741]\n", - " [ -28.87532344 -154.8692371 70.10910741 837.96870419]]\n", - "Trace: 1148.8927705492695\n", - "Determinant: 190348.6673254422\n", - "Condition number: 1618.3103657413333\n", - "Minimal eigen value: 0.5417343666379524\n", - "Eigen values: [8.76694341e+02 2.70173245e+02 5.41734367e-01 1.48344999e+00]\n", - "Eigen vectors: [[ 0.04685373 -0.32103947 -0.78212185 0.53199981]\n", - " [ 0.18079203 0.01551727 0.55613272 0.81104245]\n", - " [-0.11992293 0.93825512 -0.26345825 0.18943485]\n", - " [-0.97505767 -0.12794607 0.09793648 0.15264595]]\n", - "This is the 21 run out of 81 run.\n", - "The code has run 28.3136 seconds.\n", - "Estimated remaining time: 80.8961 seconds\n", - "=======This is the 22 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4026212692260742 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.00498916 6.16520704 -84.49307008 -27.0509224 ]\n", - " [ 6.16520704 28.46235364 -13.98273248 -147.49642699]\n", - " [ -84.49307008 -13.98273248 246.19200008 65.05640169]\n", - " [ -27.0509224 -147.49642699 65.05640169 800.46076995]]\n", - "Trace: 1105.1201128212274\n", - "Determinant: 191117.7507506111\n", - "Condition number: 1503.7114051925557\n", - "Minimal eigen value: 0.5565662145256329\n", - "Eigen values: [8.36914965e+02 2.66106715e+02 5.56566215e-01 1.54186738e+00]\n", - "Eigen vectors: [[ 0.04646642 -0.32098546 -0.77977639 0.53549788]\n", - " [ 0.18034719 0.01490153 0.55988332 0.8085688 ]\n", - " [-0.11833093 0.93849369 -0.26236422 0.19076794]\n", - " [-0.97535304 -0.1263957 0.09820625 0.1518753 ]]\n", - "This is the 22 run out of 81 run.\n", - "The code has run 29.7194 seconds.\n", - "Estimated remaining time: 79.7020 seconds\n", - "=======This is the 23 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.576902151107788 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.66284896 5.98404272 -83.57738856 -26.09248409]\n", - " [ 5.98404272 27.73909098 -13.48736761 -144.05292682]\n", - " [ -83.57738856 -13.48736761 243.90609069 62.63421243]\n", - " [ -26.09248409 -144.05292682 62.63421243 784.67652325]]\n", - "Trace: 1085.9845538731117\n", - "Determinant: 188639.4615552581\n", - "Condition number: 1474.5971888051029\n", - "Minimal eigen value: 0.5560520631753989\n", - "Eigen values: [8.19952809e+02 2.63907946e+02 5.56052063e-01 1.56774623e+00]\n", - "Eigen vectors: [[ 0.04594253 -0.320668 -0.77534136 0.54213199]\n", - " [ 0.17974722 0.01448798 0.56676229 0.80390394]\n", - " [-0.11695823 0.93879944 -0.26038706 0.19280809]\n", - " [-0.97565414 -0.12497097 0.09912039 0.15052047]]\n", - "This is the 23 run out of 81 run.\n", - "The code has run 31.2990 seconds.\n", - "Estimated remaining time: 78.9279 seconds\n", - "=======This is the 24 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.7767479419708252 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.43853337 5.88400885 -83.02857374 -25.57526247]\n", - " [ 5.88400885 27.33885875 -13.22004406 -142.29843404]\n", - " [ -83.02857374 -13.22004406 242.65971528 61.40277918]\n", - " [ -25.57526247 -142.29843404 61.40277918 777.31974084]]\n", - "Trace: 1076.7568482418158\n", - "Determinant: 184270.03331003775\n", - "Condition number: 1482.9771752629497\n", - "Minimal eigen value: 0.5475192742598249\n", - "Eigen values: [8.11958587e+02 2.62672744e+02 5.47519274e-01 1.57799787e+00]\n", - "Eigen vectors: [[ 0.04555702 -0.32032998 -0.77104717 0.54845193]\n", - " [ 0.17927984 0.01423111 0.57328314 0.79937641]\n", - " [-0.11606112 0.93904462 -0.25849401 0.19469431]\n", - " [-0.97586532 -0.12402173 0.1000677 0.1493049 ]]\n", - "This is the 24 run out of 81 run.\n", - "The code has run 33.0784 seconds.\n", - "Estimated remaining time: 78.5613 seconds\n", - "=======This is the 25 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.5411691665649414 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.28420938 5.81041218 -82.68034035 -25.22398541]\n", - " [ 5.81041218 27.0727506 -13.03848831 -141.24090865]\n", - " [ -82.68034035 -13.03848831 241.93376245 60.63528154]\n", - " [ -25.22398541 -141.24090865 60.63528154 773.29131813]]\n", - "Trace: 1071.5820405595707\n", - "Determinant: 178758.17326418444\n", - "Condition number: 1505.8326274881686\n", - "Minimal eigen value: 0.5362591366706398\n", - "Eigen values: [8.07516505e+02 2.61953424e+02 5.36259137e-01 1.57585305e+00]\n", - "Eigen vectors: [[ 0.0452283 -0.32004858 -0.76665675 0.55476188]\n", - " [ 0.17890164 0.01407456 0.57977992 0.79476497]\n", - " [-0.11537487 0.93924098 -0.25666067 0.19657139]\n", - " [-0.97603137 -0.12327688 0.10108403 0.14814718]]\n", - "This is the 25 run out of 81 run.\n", - "The code has run 34.6223 seconds.\n", - "Estimated remaining time: 77.5539 seconds\n", - "=======This is the 26 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5202617645263672 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.16395684 5.73453838 -82.43471072 -24.92041098]\n", - " [ 5.73453838 26.86576638 -12.88158736 -140.5106945 ]\n", - " [ -82.43471072 -12.88158736 241.46714317 60.05450537]\n", - " [ -24.92041098 -140.5106945 60.05450537 770.79396436]]\n", - "Trace: 1068.2908307463383\n", - "Determinant: 172475.9415463406\n", - "Condition number: 1530.546651700559\n", - "Minimal eigen value: 0.5257610786968038\n", - "Eigen values: [8.04701859e+02 2.61504282e+02 5.25761079e-01 1.55892881e+00]\n", - "Eigen vectors: [[ 0.04488407 -0.31981491 -0.76243559 0.56071009]\n", - " [ 0.1785717 0.01400365 0.5858805 0.79035441]\n", - " [-0.11473807 0.93941548 -0.25497866 0.19829175]\n", - " [-0.97618274 -0.1225597 0.10208767 0.14705266]]\n", - "This is the 26 run out of 81 run.\n", - "The code has run 36.1452 seconds.\n", - "Estimated remaining time: 76.4609 seconds\n", - "=======This is the 27 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.516874074935913 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.06110646 5.65571543 -82.24742429 -24.65257981]\n", - " [ 5.65571543 26.70378654 -12.74316009 -140.00114925]\n", - " [ -82.24742429 -12.74316009 241.14514372 59.60445848]\n", - " [ -24.65257981 -140.00114925 59.60445848 769.22388402]]\n", - "Trace: 1066.1339207407643\n", - "Determinant: 166109.9551245936\n", - "Condition number: 1551.1500791407132\n", - "Minimal eigen value: 0.5176066466705693\n", - "Eigen values: [8.02885591e+02 2.61200453e+02 5.17606647e-01 1.53027057e+00]\n", - "Eigen vectors: [[ 0.04454043 -0.31960751 -0.75938699 0.56497663]\n", - " [ 0.1782985 0.01400273 0.59021965 0.78718126]\n", - " [-0.11415988 0.93957357 -0.25377291 0.19942001]\n", - " [-0.9763162 -0.12188714 0.10281766 0.1462147 ]]\n", - "This is the 27 run out of 81 run.\n", - "The code has run 37.6646 seconds.\n", - "Estimated remaining time: 75.3293 seconds\n", - "=======This is the 28 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3081550598144531 s.\n", - "Existed information has been added.\n", - "FIM: [[ 34.31083221 5.87264848 -99.29628105 -26.7996225 ]\n", - " [ 5.87264848 30.93392006 -13.85285176 -166.5344064 ]\n", - " [ -99.29628105 -13.85285176 295.21107649 67.41893929]\n", - " [ -26.7996225 -166.5344064 67.41893929 931.90988887]]\n", - "Trace: 1292.3657176279999\n", - "Determinant: 219116.55598781718\n", - "Condition number: 1975.135565776819\n", - "Minimal eigen value: 0.4912314715447589\n", - "Eigen values: [9.70248750e+02 3.20189921e+02 4.91231472e-01 1.43581425e+00]\n", - "Eigen vectors: [[ 0.040473 -0.31614659 -0.77750088 0.54213066]\n", - " [ 0.17519902 0.01401412 0.56535675 0.80590362]\n", - " [-0.10721007 0.94175271 -0.25765221 0.18767837]\n", - " [-0.97784111 -0.11382781 0.09736251 0.14625502]]\n", - "This is the 28 run out of 81 run.\n", - "The code has run 38.9754 seconds.\n", - "Estimated remaining time: 73.7749 seconds\n", - "=======This is the 29 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4370899200439453 s.\n", - "Existed information has been added.\n", - "FIM: [[ 32.70281635 7.40014384 -92.49042399 -34.3012973 ]\n", - " [ 7.40014384 34.15404584 -17.73006791 -179.28546343]\n", - " [ -92.49042399 -17.73006791 269.20152757 86.23048708]\n", - " [ -34.3012973 -179.28546343 86.23048708 974.3195219 ]]\n", - "Trace: 1310.3779116577584\n", - "Determinant: 212667.62255371246\n", - "Condition number: 1980.140754134136\n", - "Minimal eigen value: 0.5150288667373343\n", - "Eigen values: [1.01982965e+03 2.88630420e+02 5.15028867e-01 1.40281393e+00]\n", - "Eigen vectors: [[ 0.04665874 -0.32111655 -0.77619183 0.54058613]\n", - " [ 0.17988432 0.01666262 0.56474405 0.80525036]\n", - " [-0.12200129 0.93797321 -0.26196245 0.19156621]\n", - " [-0.97497707 -0.12966406 0.09983027 0.15046883]]\n", - "This is the 29 run out of 81 run.\n", - "The code has run 40.4156 seconds.\n", - "Estimated remaining time: 72.4693 seconds\n", - "=======This is the 30 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3620731830596924 s.\n", - "Existed information has been added.\n", - "FIM: [[ 31.55808488 7.08798895 -88.46937314 -31.60432037]\n", - " [ 7.08798895 31.80695831 -16.33613916 -163.66072489]\n", - " [ -88.46937314 -16.33613916 256.20635122 76.49060178]\n", - " [ -31.60432037 -163.66072489 76.49060178 877.74468706]]\n", - "Trace: 1197.3160814605867\n", - "Determinant: 221799.0883115981\n", - "Condition number: 1608.3235339216812\n", - "Minimal eigen value: 0.5717813344410629\n", - "Eigen values: [9.19609376e+02 2.75604399e+02 5.71781334e-01 1.53052436e+00]\n", - "Eigen vectors: [[ 0.04840947 -0.32227626 -0.78433046 0.52784492]\n", - " [ 0.18225901 0.01616051 0.55206779 0.81347504]\n", - " [-0.12327976 0.93731565 -0.26545069 0.18914917]\n", - " [-0.97428963 -0.13159113 0.09789184 0.15446904]]\n", - "This is the 30 run out of 81 run.\n", - "The code has run 41.7801 seconds.\n", - "Estimated remaining time: 71.0261 seconds\n", - "=======This is the 31 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3121821880340576 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.75089853 6.58860624 -86.04350238 -28.75369385]\n", - " [ 6.58860624 29.61716799 -14.86280184 -152.14070917]\n", - " [ -86.04350238 -14.86280184 249.41469763 68.59574941]\n", - " [ -28.75369385 -152.14070917 68.59574941 819.13854015]]\n", - "Trace: 1128.9213042948234\n", - "Determinant: 223199.08519825267\n", - "Condition number: 1439.2001464010648\n", - "Minimal eigen value: 0.5957771989533247\n", - "Eigen values: [8.57442632e+02 2.69260221e+02 5.95777199e-01 1.62267394e+00]\n", - "Eigen vectors: [[ 0.04796256 -0.32221079 -0.78113541 0.53264179]\n", - " [ 0.18168784 0.0152626 0.55724216 0.81008503]\n", - " [-0.12118885 0.93763158 -0.26392306 0.19106254]\n", - " [-0.97468066 -0.12959272 0.09825105 0.15346033]]\n", - "This is the 31 run out of 81 run.\n", - "The code has run 43.0949 seconds.\n", - "Estimated remaining time: 69.5079 seconds\n", - "=======This is the 32 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.492966890335083 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.21630446 6.30553697 -84.61274999 -27.25613395]\n", - " [ 6.30553697 28.48707009 -14.0887942 -146.76024017]\n", - " [ -84.61274999 -14.0887942 245.84296418 64.81107863]\n", - " [ -27.25613395 -146.76024017 64.81107863 794.47565471]]\n", - "Trace: 1099.0219934376676\n", - "Determinant: 219046.7635612996\n", - "Condition number: 1395.1046514756501\n", - "Minimal eigen value: 0.5956039117841725\n", - "Eigen values: [8.30929788e+02 2.65831624e+02 5.95603912e-01 1.66497734e+00]\n", - "Eigen vectors: [[ 0.0472128 -0.32173526 -0.77481095 0.54214884]\n", - " [ 0.18080651 0.01462813 0.56710945 0.80341888]\n", - " [-0.11919796 0.93808696 -0.26104596 0.19400955]\n", - " [-0.97512656 -0.12753546 0.09954834 0.15150258]]\n", - "This is the 32 run out of 81 run.\n", - "The code has run 44.5909 seconds.\n", - "Estimated remaining time: 68.2798 seconds\n", - "=======This is the 33 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.3578858375549316 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.86581136 6.14923404 -83.75522684 -26.44797517]\n", - " [ 6.14923404 27.86170723 -13.67110116 -144.0188452 ]\n", - " [ -83.75522684 -13.67110116 243.8955026 62.88696419]\n", - " [ -26.44797517 -144.0188452 62.88696419 782.9806822 ]]\n", - "Trace: 1084.6037033913724\n", - "Determinant: 211683.9981405787\n", - "Condition number: 1404.9139458158472\n", - "Minimal eigen value: 0.582550713260004\n", - "Eigen values: [8.18433621e+02 2.63905156e+02 5.82550713e-01 1.68237557e+00]\n", - "Eigen vectors: [[ 0.04663765 -0.32121979 -0.76862987 0.55122672]\n", - " [ 0.18009867 0.01422632 0.57647713 0.79689159]\n", - " [-0.11785344 0.93846161 -0.25826985 0.19671566]\n", - " [-0.9754486 -0.12611605 0.10089067 0.14971924]]\n", - "This is the 33 run out of 81 run.\n", - "The code has run 45.9514 seconds.\n", - "Estimated remaining time: 66.8383 seconds\n", - "=======This is the 34 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3989310264587402 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.62468012 6.03423925 -83.21111217 -25.89910476]\n", - " [ 6.03423925 27.44591324 -13.38742029 -142.36646178]\n", - " [ -83.21111217 -13.38742029 242.7612013 61.68774912]\n", - " [ -25.89910476 -142.36646178 61.68774912 776.68627174]]\n", - "Trace: 1076.5180664020631\n", - "Determinant: 202415.6569987658\n", - "Condition number: 1436.3383702542444\n", - "Minimal eigen value: 0.5649710487513734\n", - "Eigen values: [8.11489595e+02 2.62783393e+02 5.64971049e-01 1.68010737e+00]\n", - "Eigen vectors: [[ 0.04613685 -0.32078757 -0.76226121 0.56028973]\n", - " [ 0.17951788 0.01397906 0.58580552 0.79019606]\n", - " [-0.11680698 0.93876493 -0.25557325 0.19939622]\n", - " [-0.97570531 -0.12498131 0.10233312 0.1480093 ]]\n", - "This is the 34 run out of 81 run.\n", - "The code has run 47.3528 seconds.\n", - "Estimated remaining time: 65.4583 seconds\n", - "=======This is the 35 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5705158710479736 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.43678553 5.91568643 -82.82731586 -25.4247697 ]\n", - " [ 5.91568643 27.12250039 -13.14226256 -141.22550217]\n", - " [ -82.82731586 -13.14226256 242.03210867 60.78028635]\n", - " [ -25.4247697 -141.22550217 60.78028635 772.78415647]]\n", - "Trace: 1071.375551053092\n", - "Determinant: 191937.53934280388\n", - "Condition number: 1471.700117663225\n", - "Minimal eigen value: 0.5484060967518005\n", - "Eigen values: [8.07089317e+02 2.62083213e+02 5.48406097e-01 1.65461457e+00]\n", - "Eigen vectors: [[ 0.04560588 -0.32042744 -0.75599497 0.56896218]\n", - " [ 0.17900731 0.01386541 0.59469481 0.78364674]\n", - " [-0.11582536 0.93903609 -0.25305826 0.20188421]\n", - " [-0.97594107 -0.12387588 0.10378441 0.14636459]]\n", - "This is the 35 run out of 81 run.\n", - "The code has run 48.9277 seconds.\n", - "Estimated remaining time: 64.3050 seconds\n", - "=======This is the 36 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4231340885162354 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.27608182 5.79252557 -82.53468084 -25.00628352]\n", - " [ 5.79252557 26.86940689 -12.92596997 -140.42933771]\n", - " [ -82.53468084 -12.92596997 241.52898456 60.07708813]\n", - " [ -25.00628352 -140.42933771 60.07708813 770.33090596]]\n", - "Trace: 1068.0053792314388\n", - "Determinant: 181450.69474203617\n", - "Condition number: 1501.9556383407423\n", - "Minimal eigen value: 0.5354684063529392\n", - "Eigen values: [8.04249792e+02 2.61609546e+02 5.35468406e-01 1.61057235e+00]\n", - "Eigen vectors: [[ 0.04507237 -0.32010675 -0.75122833 0.57546168]\n", - " [ 0.17858271 0.01386172 0.60130267 0.77868554]\n", - " [-0.11492843 0.93928256 -0.25117499 0.20359482]\n", - " [-0.97614966 -0.12283237 0.10489146 0.14505804]]\n", - "This is the 36 run out of 81 run.\n", - "The code has run 50.3533 seconds.\n", - "Estimated remaining time: 62.9417 seconds\n", - "=======This is the 37 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1025316715240479 s.\n", - "Existed information has been added.\n", - "FIM: [[ 36.78887004 6.07511496 -107.02247647 -28.02099618]\n", - " [ 6.07511496 32.92473073 -14.48411404 -178.54397808]\n", - " [-107.02247647 -14.48411404 319.30033573 71.22701223]\n", - " [ -28.02099618 -178.54397808 71.22701223 1004.35766813]]\n", - "Trace: 1393.3716046215663\n", - "Determinant: 259404.79249873152\n", - "Condition number: 2117.757640376852\n", - "Minimal eigen value: 0.49343292348975076\n", - "Eigen values: [1.04497134e+03 3.46454720e+02 4.93432923e-01 1.45210830e+00]\n", - "Eigen vectors: [[ 0.0394186 -0.31528763 -0.77789543 0.54214258]\n", - " [ 0.17432484 0.0139462 0.56510132 0.80627343]\n", - " [-0.10531109 0.94230095 -0.25714335 0.18669704]\n", - " [-0.9782467 -0.11166076 0.09703861 0.14542622]]\n", - "This is the 37 run out of 81 run.\n", - "The code has run 51.4583 seconds.\n", - "Estimated remaining time: 61.1937 seconds\n", - "=======This is the 38 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2567338943481445 s.\n", - "Existed information has been added.\n", - "FIM: [[ 34.47332719 8.27470828 -97.22204231 -38.8234079 ]\n", - " [ 8.27470828 37.56171186 -20.06730529 -196.9055002 ]\n", - " [ -97.22204231 -20.06730529 281.84658528 98.31564105]\n", - " [ -38.8234079 -196.9055002 98.31564105 1065.42753969]]\n", - "Trace: 1419.3091640169005\n", - "Determinant: 248947.0165905633\n", - "Condition number: 2121.25846562084\n", - "Minimal eigen value: 0.5262832514343758\n", - "Eigen values: [1.11638280e+03 3.00992350e+02 5.26283251e-01 1.40772810e+00]\n", - "Eigen vectors: [[ 0.04755314 -0.32206577 -0.77580529 0.54049837]\n", - " [ 0.18054388 0.0174534 0.56472719 0.80509781]\n", - " [-0.1246826 0.9372505 -0.26292016 0.19206442]\n", - " [-0.9744726 -0.13240286 0.10041086 0.15096452]]\n", - "This is the 38 run out of 81 run.\n", - "The code has run 52.7182 seconds.\n", - "Estimated remaining time: 59.6549 seconds\n", - "=======This is the 39 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2754926681518555 s.\n", - "Existed information has been added.\n", - "FIM: [[ 32.82491387 7.82520522 -91.43172903 -34.93976104]\n", - " [ 7.82520522 34.18190578 -18.06004783 -174.4058766 ]\n", - " [ -91.43172903 -18.06004783 263.13353122 84.29020596]\n", - " [ -34.93976104 -174.4058766 84.29020596 926.35977707]]\n", - "Trace: 1256.5001279448131\n", - "Determinant: 263402.56815271225\n", - "Condition number: 1602.2755769906482\n", - "Minimal eigen value: 0.6066922513316659\n", - "Eigen values: [9.72088177e+02 2.82222721e+02 6.06692251e-01 1.58253717e+00]\n", - "Eigen vectors: [[ 0.05009398 -0.32372401 -0.78629932 0.52385755]\n", - " [ 0.18387427 0.01689333 0.54820737 0.81570432]\n", - " [-0.12688016 0.93624622 -0.26759042 0.18904978]\n", - " [-0.97343838 -0.13550056 0.09796643 0.15639663]]\n", - "This is the 39 run out of 81 run.\n", - "The code has run 53.9963 seconds.\n", - "Estimated remaining time: 58.1499 seconds\n", - "=======This is the 40 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2968039512634277 s.\n", - "Existed information has been added.\n", - "FIM: [[ 31.66256554 7.10609412 -87.93847517 -30.83485889]\n", - " [ 7.10609412 31.02860775 -15.93844213 -157.81705407]\n", - " [ -87.93847517 -15.93844213 253.35355014 72.92161876]\n", - " [ -30.83485889 -157.81705407 72.92161876 841.966926 ]]\n", - "Trace: 1158.0116494264157\n", - "Determinant: 265767.57867752825\n", - "Condition number: 1373.6079632065182\n", - "Minimal eigen value: 0.6425068540890994\n", - "Eigen values: [8.82552531e+02 2.73100438e+02 6.42506854e-01 1.71617383e+00]\n", - "Eigen vectors: [[ 0.04968492 -0.32366053 -0.78237349 0.52978014]\n", - " [ 0.18324022 0.01570183 0.55464809 0.81150599]\n", - " [-0.12445593 0.9366119 -0.26566125 0.19155411]\n", - " [-0.97389176 -0.13324966 0.09839367 0.1552355 ]]\n", - "This is the 40 run out of 81 run.\n", - "The code has run 55.2960 seconds.\n", - "Estimated remaining time: 56.6784 seconds\n", - "=======This is the 41 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.459547996520996 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.89275008 6.69847439 -85.87819175 -28.67837266]\n", - " [ 6.69847439 29.40126677 -14.82387115 -150.06917871]\n", - " [ -85.87819175 -14.82387115 248.210254 67.4716929 ]\n", - " [ -28.67837266 -150.06917871 67.4716929 806.45237096]]\n", - "Trace: 1114.9566418120737\n", - "Determinant: 259295.44468122924\n", - "Condition number: 1312.5340626707155\n", - "Minimal eigen value: 0.6433044742163505\n", - "Eigen values: [8.44359035e+02 2.68174245e+02 6.43304474e-01 1.78005776e+00]\n", - "Eigen vectors: [[ 0.04871693 -0.32300943 -0.77416724 0.5421777 ]\n", - " [ 0.18206305 0.0148089 0.56753176 0.80283338]\n", - " [-0.12183745 0.93722982 -0.26183895 0.19543866]\n", - " [-0.97449235 -0.13055984 0.10006575 0.15266182]]\n", - "This is the 41 run out of 81 run.\n", - "The code has run 56.7581 seconds.\n", - "Estimated remaining time: 55.3737 seconds\n", - "=======This is the 42 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3764898777008057 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.38804002 6.47339817 -84.6433584 -27.51462402]\n", - " [ 6.47339817 28.50074425 -14.22239317 -146.12156994]\n", - " [ -84.6433584 -14.22239317 245.40590932 64.70096808]\n", - " [ -27.51462402 -146.12156994 64.70096808 789.89961054]]\n", - "Trace: 1094.1943041272043\n", - "Determinant: 247750.52298677372\n", - "Condition number: 1322.1585481935238\n", - "Minimal eigen value: 0.6250051674349029\n", - "Eigen values: [8.26355925e+02 2.65405979e+02 6.25005167e-01 1.80739520e+00]\n", - "Eigen vectors: [[ 0.04793455 -0.32228847 -0.76606069 0.55406086]\n", - " [ 0.18108178 0.01423008 0.57979722 0.79425567]\n", - " [-0.11999735 0.93775464 -0.2581166 0.19897912]\n", - " [-0.97494221 -0.12862302 0.10179398 0.15027242]]\n", - "This is the 42 run out of 81 run.\n", - "The code has run 58.1371 seconds.\n", - "Estimated remaining time: 53.9845 seconds\n", - "=======This is the 43 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4225409030914307 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.04081103 6.30780567 -83.85983328 -26.72425063]\n", - " [ 6.30780567 27.90200091 -13.81389272 -143.74213782]\n", - " [ -83.85983328 -13.81389272 243.77251546 62.97409839]\n", - " [ -26.72425063 -143.74213782 62.97409839 780.83565947]]\n", - "Trace: 1082.5509868629858\n", - "Determinant: 233249.44652323253\n", - "Condition number: 1361.1345665049146\n", - "Minimal eigen value: 0.5997577130991854\n", - "Eigen values: [8.16350955e+02 2.63794338e+02 5.99757713e-01 1.80593621e+00]\n", - "Eigen vectors: [[ 0.04723544 -0.32167879 -0.7576378 0.5659298 ]\n", - " [ 0.18026288 0.01386971 0.5920096 0.78539006]\n", - " [-0.11853461 0.93818523 -0.25448998 0.20246697]\n", - " [-0.97530695 -0.12703884 0.10365545 0.14796293]]\n", - "This is the 43 run out of 81 run.\n", - "The code has run 59.5624 seconds.\n", - "Estimated remaining time: 52.6365 seconds\n", - "=======This is the 44 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5541539192199707 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.77024282 6.13708961 -83.3071666 -26.04120816]\n", - " [ 6.13708961 27.4362864 -13.46086559 -142.09915598]\n", - " [ -83.3071666 -13.46086559 242.72262207 61.667352 ]\n", - " [ -26.04120816 -142.09915598 61.667352 775.21661348]]\n", - "Trace: 1075.1457647738398\n", - "Determinant: 216995.60713203996\n", - "Condition number: 1407.0534066169535\n", - "Minimal eigen value: 0.5756785168357853\n", - "Eigen values: [8.10010418e+02 2.62788852e+02 5.75678517e-01 1.77081575e+00]\n", - "Eigen vectors: [[ 0.04648282 -0.32116876 -0.74915178 0.57746133]\n", - " [ 0.17953631 0.01370117 0.60382111 0.77651727]\n", - " [-0.11714427 0.93857304 -0.25105296 0.20574324]\n", - " [-0.97564506 -0.12547332 0.10556558 0.145702 ]]\n", - "This is the 44 run out of 81 run.\n", - "The code has run 61.1190 seconds.\n", - "Estimated remaining time: 51.3955 seconds\n", - "=======This is the 45 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4800629615783691 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.53882947 5.95973797 -82.88577216 -25.43858804]\n", - " [ 5.95973797 27.07183176 -13.14940425 -140.95267917]\n", - " [ -82.88577216 -13.14940425 241.99812336 60.65474656]\n", - " [ -25.43858804 -140.95267917 60.65474656 771.68393275]]\n", - "Trace: 1070.2927173390817\n", - "Determinant: 200944.16798299024\n", - "Condition number: 1447.57068462181\n", - "Minimal eigen value: 0.5567387556544536\n", - "Eigen values: [8.05918702e+02 2.62108634e+02 5.56738756e-01 1.70864323e+00]\n", - "Eigen vectors: [[ 0.04572056 -0.32071284 -0.7423529 0.58648536]\n", - " [ 0.17892883 0.01369196 0.61299069 0.76944098]\n", - " [-0.11586404 0.93892699 -0.24836575 0.20810115]\n", - " [-0.9759455 -0.12398352 0.10709366 0.14383813]]\n", - "This is the 45 run out of 81 run.\n", - "The code has run 62.6016 seconds.\n", - "Estimated remaining time: 50.0813 seconds\n", - "=======This is the 46 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1048040390014648 s.\n", - "Existed information has been added.\n", - "FIM: [[ 39.7174602 6.31439353 -116.15343469 -29.4644378 ]\n", - " [ 6.31439353 35.27750697 -15.23015127 -192.73710824]\n", - " [-116.15343469 -15.23015127 347.76946028 75.72746206]\n", - " [ -29.4644378 -192.73710824 75.72746206 1089.97777089]]\n", - "Trace: 1512.7421983402073\n", - "Determinant: 311399.09067781235\n", - "Condition number: 2286.542819651653\n", - "Minimal eigen value: 0.4956344365813532\n", - "Eigen values: [1.13328936e+03 3.77488576e+02 4.95634437e-01 1.46862610e+00]\n", - "Eigen vectors: [[ 0.03835004 -0.31442127 -0.77828842 0.54215835]\n", - " [ 0.17344009 0.01388478 0.56484731 0.80664321]\n", - " [-0.10337977 0.94284961 -0.25663367 0.18570512]\n", - " [-0.97865236 -0.10945814 0.09671514 0.14458445]]\n", - "This is the 46 run out of 81 run.\n", - "The code has run 63.7089 seconds.\n", - "Estimated remaining time: 48.4742 seconds\n", - "=======This is the 47 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2559828758239746 s.\n", - "Existed information has been added.\n", - "FIM: [[ 36.5657491 9.30828444 -102.81395486 -44.16772042]\n", - " [ 9.30828444 41.58895351 -22.82949492 -217.72918002]\n", - " [-102.81395486 -22.82949492 296.7907444 112.59809575]\n", - " [ -44.16772042 -217.72918002 112.59809575 1173.10065161]]\n", - "Trace: 1548.0460986209075\n", - "Determinant: 295280.74015585403\n", - "Condition number: 2286.0181487108425\n", - "Minimal eigen value: 0.5382748263648286\n", - "Eigen values: [1.23050602e+03 3.15589182e+02 5.38274826e-01 1.41261951e+00]\n", - "Eigen vectors: [[ 0.04839818 -0.32310756 -0.77521185 0.54065303]\n", - " [ 0.18118963 0.01825265 0.56496884 0.80476541]\n", - " [-0.12721352 0.93650897 -0.26390515 0.19267003]\n", - " [-0.97398391 -0.13497885 0.10104885 0.15141065]]\n", - "This is the 47 run out of 81 run.\n", - "The code has run 64.9675 seconds.\n", - "Estimated remaining time: 46.9978 seconds\n", - "=======This is the 48 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2635772228240967 s.\n", - "Existed information has been added.\n", - "FIM: [[ 34.3220754 8.6964608 -94.93269507 -38.88164545]\n", - " [ 8.6964608 36.98866185 -20.09739441 -187.10469208]\n", - " [ -94.93269507 -20.09739441 271.32019844 93.50791985]\n", - " [ -38.88164545 -187.10469208 93.50791985 983.8139735 ]]\n", - "Trace: 1326.444909189725\n", - "Determinant: 317057.5521865532\n", - "Condition number: 1601.7324036106527\n", - "Minimal eigen value: 0.6456385390230688\n", - "Eigen values: [1.03414017e+03 2.90021762e+02 6.45638539e-01 1.63733921e+00]\n", - "Eigen vectors: [[ 0.05183111 -0.32535143 -0.78785307 0.52033406]\n", - " [ 0.18556983 0.01769387 0.5448494 0.81755116]\n", - " [-0.13055514 0.93508071 -0.26978738 0.18919354]\n", - " [-0.97253932 -0.13948996 0.09819083 0.15832998]]\n", - "This is the 48 run out of 81 run.\n", - "The code has run 66.2336 seconds.\n", - "Estimated remaining time: 45.5356 seconds\n", - "=======This is the 49 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.2962591648101807 s.\n", - "Existed information has been added.\n", - "FIM: [[ 32.73999019 7.71767073 -90.17798848 -33.29441763]\n", - " [ 7.71767073 32.69667292 -17.20965341 -164.52546167]\n", - " [ -90.17798848 -17.20965341 258.00855769 78.03400986]\n", - " [ -33.29441763 -164.52546167 78.03400986 868.9459274 ]]\n", - "Trace: 1192.3911481973423\n", - "Determinant: 320838.015192606\n", - "Condition number: 1310.4792317939582\n", - "Minimal eigen value: 0.6961225904499246\n", - "Eigen values: [9.12254198e+02 2.77620993e+02 6.96122590e-01 1.81983460e+00]\n", - "Eigen vectors: [[ 0.05158354 -0.32531066 -0.78337796 0.52709685]\n", - " [ 0.18496272 0.01621672 0.55228293 0.81271728]\n", - " [-0.12802873 0.93545287 -0.26752463 0.1922684 ]\n", - " [-0.97300389 -0.13725128 0.09865653 0.15713815]]\n", - "This is the 49 run out of 81 run.\n", - "The code has run 67.5323 seconds.\n", - "Estimated remaining time: 44.1027 seconds\n", - "=======This is the 50 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.453747034072876 s.\n", - "Existed information has been added.\n", - "FIM: [[ 31.69218581 7.16285497 -87.37371372 -30.35920012]\n", - " [ 7.16285497 30.48168103 -15.69259823 -153.97974222]\n", - " [ -87.37371372 -15.69259823 251.00795977 70.61605418]\n", - " [ -30.35920012 -153.97974222 70.61605418 820.60667033]]\n", - "Trace: 1133.7884969451964\n", - "Determinant: 311236.03090905806\n", - "Condition number: 1231.0552044357423\n", - "Minimal eigen value: 0.6987885964935451\n", - "Eigen values: [8.60247339e+02 2.70931367e+02 6.98788596e-01 1.91100329e+00]\n", - "Eigen vectors: [[ 0.05042917 -0.32447447 -0.77341286 0.54222298]\n", - " [ 0.18349645 0.01503459 0.5680281 0.80215154]\n", - " [-0.12482559 0.93623603 -0.26275902 0.19707452]\n", - " [-0.97375794 -0.13398648 0.10066939 0.15397653]]\n", - "This is the 50 run out of 81 run.\n", - "The code has run 68.9886 seconds.\n", - "Estimated remaining time: 42.7729 seconds\n", - "=======This is the 51 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3493990898132324 s.\n", - "Existed information has been added.\n", - "FIM: [[ 31.00521934 6.85650123 -85.69296843 -28.77520902]\n", - " [ 6.85650123 29.25596982 -14.8739201 -148.60660828]\n", - " [ -85.69296843 -14.8739201 247.19093546 66.84479086]\n", - " [ -28.77520902 -148.60660828 66.84479086 798.07652584]]\n", - "Trace: 1105.528650449711\n", - "Determinant: 294005.94852919155\n", - "Condition number: 1238.6960115595953\n", - "Minimal eigen value: 0.6746854263913779\n", - "Eigen values: [8.35730147e+02 2.67172188e+02 6.74685426e-01 1.95162994e+00]\n", - "Eigen vectors: [[ 0.0494343 -0.3235256 -0.76345123 0.55680307]\n", - " [ 0.1822192 0.01424747 0.58308316 0.79158525]\n", - " [-0.12246692 0.93692714 -0.25806772 0.20142105]\n", - " [-0.97434812 -0.13151324 0.10274873 0.15097251]]\n", - "This is the 51 run out of 81 run.\n", - "The code has run 70.3410 seconds.\n", - "Estimated remaining time: 41.3770 seconds\n", - "=======This is the 52 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3843729496002197 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.5326021 6.63111144 -84.62650368 -27.69942302]\n", - " [ 6.63111144 28.44101361 -14.31790559 -145.36793678]\n", - " [ -84.62650368 -14.31790559 244.96770492 64.49432934]\n", - " [ -27.69942302 -145.36793678 64.49432934 785.73948133]]\n", - "Trace: 1089.6808019535226\n", - "Determinant: 272410.99410904915\n", - "Condition number: 1283.5532630981627\n", - "Minimal eigen value: 0.6404904869131023\n", - "Eigen values: [8.22103654e+02 2.64984273e+02 6.40490487e-01 1.95238413e+00]\n", - "Eigen vectors: [[ 0.04851718 -0.32271544 -0.7530089 0.57138291]\n", - " [ 0.18113193 0.01375058 0.59808001 0.78057827]\n", - " [-0.12054473 0.93750324 -0.25348335 0.20567651]\n", - " [-0.97483654 -0.12943468 0.10499566 0.14804156]]\n", - "This is the 52 run out of 81 run.\n", - "The code has run 71.7298 seconds.\n", - "Estimated remaining time: 40.0031 seconds\n", - "=======This is the 53 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5724577903747559 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.16432871 6.39874791 -83.87426292 -26.76972632]\n", - " [ 6.39874791 27.80712441 -13.83739643 -143.13165594]\n", - " [ -83.87426292 -13.83739643 243.53868336 62.71570231]\n", - " [ -26.76972632 -143.13165594 62.71570231 778.0913354 ]]\n", - "Trace: 1079.601471888402\n", - "Determinant: 248413.1467302102\n", - "Condition number: 1339.1644113924633\n", - "Minimal eigen value: 0.6074436903249106\n", - "Eigen values: [8.13466972e+02 2.63620058e+02 6.07443690e-01 1.90699772e+00]\n", - "Eigen vectors: [[ 0.04751176 -0.32203464 -0.74224154 0.58575918]\n", - " [ 0.18015667 0.01351365 0.61279354 0.76931466]\n", - " [-0.11868894 0.93802677 -0.24907421 0.20971589]\n", - " [-0.97529439 -0.12734541 0.10734809 0.14512199]]\n", - "This is the 53 run out of 81 run.\n", - "The code has run 73.3055 seconds.\n", - "Estimated remaining time: 38.7274 seconds\n", - "=======This is the 54 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.444624900817871 s.\n", - "Existed information has been added.\n", - "FIM: [[ 29.84934945 6.15735264 -83.3006983 -25.94949342]\n", - " [ 6.15735264 27.31106116 -13.41346297 -141.57117361]\n", - " [ -83.3006983 -13.41346297 242.55256015 61.33743382]\n", - " [ -25.94949342 -141.57117361 61.33743382 773.28296441]]\n", - "Trace: 1072.9959351710581\n", - "Determinant: 225036.58533753204\n", - "Condition number: 1389.9708943774162\n", - "Minimal eigen value: 0.5812303281681005\n", - "Eigen values: [8.07893239e+02 2.62697169e+02 5.81230328e-01 1.82429680e+00]\n", - "Eigen vectors: [[ 0.04648384 -0.32142336 -0.73317849 0.59747433]\n", - " [ 0.17933613 0.01349496 0.6246889 0.75988172]\n", - " [-0.11696451 0.93850693 -0.24548481 0.21274692]\n", - " [-0.97570339 -0.12533816 0.10931739 0.14262871]]\n", - "This is the 54 run out of 81 run.\n", - "The code has run 74.7529 seconds.\n", - "Estimated remaining time: 37.3764 seconds\n", - "=======This is the 55 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1074910163879395 s.\n", - "Existed information has been added.\n", - "FIM: [[ 43.09660269 6.59048419 -126.68915571 -31.12994736]\n", - " [ 6.59048419 37.99224879 -16.09096346 -209.11379689]\n", - " [-126.68915571 -16.09096346 380.61845015 80.9202888 ]\n", - " [ -31.12994736 -209.11379689 80.9202888 1188.77019715]]\n", - "Trace: 1650.4774987836786\n", - "Determinant: 377289.9144015313\n", - "Condition number: 2481.533158401581\n", - "Minimal eigen value: 0.4977587555583983\n", - "Eigen values: [1.23520486e+03 4.13290103e+02 4.97758756e-01 1.48478063e+00]\n", - "Eigen vectors: [[ 0.03730531 -0.3135781 -0.77866613 0.54217722]\n", - " [ 0.1725762 0.01383184 0.56460354 0.80699999]\n", - " [-0.10148488 0.9433793 -0.25614111 0.18473777]\n", - " [-0.97904371 -0.10729839 0.09640345 0.14375966]]\n", - "This is the 55 run out of 81 run.\n", - "The code has run 75.8631 seconds.\n", - "Estimated remaining time: 35.8626 seconds\n", - "=======This is the 56 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2525866031646729 s.\n", - "Existed information has been added.\n", - "FIM: [[ 38.98008208 10.50087231 -109.26616165 -50.33423487]\n", - " [ 10.50087231 46.2357708 -26.0166368 -241.75650289]\n", - " [-109.26616165 -26.0166368 314.03400492 129.07785117]\n", - " [ -50.33423487 -241.75650289 129.07785117 1297.33885768]]\n", - "Trace: 1696.588715479351\n", - "Determinant: 353397.8312879253\n", - "Condition number: 2473.8645149810354\n", - "Minimal eigen value: 0.5506368680154294\n", - "Eigen values: [1.36220101e+03 3.32419741e+02 5.50636868e-01 1.41732872e+00]\n", - "Eigen vectors: [[ 0.04917049 -0.32421068 -0.77441886 0.54105926]\n", - " [ 0.18180006 0.01903732 0.56547639 0.80425292]\n", - " [-0.12952444 0.93577129 -0.26488389 0.19337021]\n", - " [-0.9735268 -0.1373212 0.10172706 0.15178957]]\n", - "This is the 56 run out of 81 run.\n", - "The code has run 77.1190 seconds.\n", - "Estimated remaining time: 34.4281 seconds\n", - "=======This is the 57 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.2885539531707764 s.\n", - "Existed information has been added.\n", - "FIM: [[ 36.04956949 9.70175573 -98.97227132 -43.42997368]\n", - " [ 9.70175573 40.22722663 -22.44817902 -201.75717188]\n", - " [ -98.97227132 -22.44817902 280.76635309 104.14374396]\n", - " [ -43.42997368 -201.75717188 104.14374396 1050.10727896]]\n", - "Trace: 1407.150428173226\n", - "Determinant: 385007.66008115205\n", - "Condition number: 1607.7050261633747\n", - "Minimal eigen value: 0.6877958792213302\n", - "Eigen values: [1.10577289e+03 2.98996660e+02 6.87795879e-01 1.69308018e+00]\n", - "Eigen vectors: [[ 0.05355966 -0.32712622 -0.78888975 0.51746764]\n", - " [ 0.18728768 0.01854209 0.54218599 0.81891017]\n", - " [-0.13417312 0.93385046 -0.27197264 0.18960955]\n", - " [-0.97162352 -0.14341531 0.09858088 0.16019237]]\n", - "This is the 57 run out of 81 run.\n", - "The code has run 78.4102 seconds.\n", - "Estimated remaining time: 33.0148 seconds\n", - "=======This is the 58 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3040037155151367 s.\n", - "Existed information has been added.\n", - "FIM: [[ 33.98317248 8.42333604 -92.76204231 -36.13237 ]\n", - " [ 8.42333604 34.62136349 -18.67643566 -172.26593198]\n", - " [ -92.76204231 -18.67643566 263.37972026 83.93292272]\n", - " [ -36.13237 -172.26593198 83.93292272 900.07554444]]\n", - "Trace: 1232.0598006660607\n", - "Determinant: 390791.50345847104\n", - "Condition number: 1252.164170768648\n", - "Minimal eigen value: 0.755936785366837\n", - "Eigen values: [9.46556958e+02 2.82815786e+02 7.55936785e-01 1.93111988e+00]\n", - "Eigen vectors: [[ 0.0536091 -0.32713615 -0.78407605 0.52472159]\n", - " [ 0.18681353 0.0168036 0.55027211 0.81364547]\n", - " [-0.13180724 0.93417415 -0.2694697 0.19321382]\n", - " [-0.97203581 -0.14148579 0.09905265 0.1591123 ]]\n", - "This is the 58 run out of 81 run.\n", - "The code has run 79.7169 seconds.\n", - "Estimated remaining time: 31.6119 seconds\n", - "=======This is the 59 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4604430198669434 s.\n", - "Existed information has been added.\n", - "FIM: [[ 32.61461165 7.69867872 -89.0993162 -32.29861664]\n", - " [ 7.69867872 31.72831286 -16.6949761 -158.49193134]\n", - " [ -89.0993162 -16.6949761 254.23608263 74.24416551]\n", - " [ -32.29861664 -158.49193134 74.24416551 836.93855774]]\n", - "Trace: 1155.517564889954\n", - "Determinant: 377055.4844963731\n", - "Condition number: 1153.56396067208\n", - "Minimal eigen value: 0.7616413010273266\n", - "Eigen values: [8.78601956e+02 2.74098284e+02 7.61641301e-01 2.05568371e+00]\n", - "Eigen vectors: [[ 0.05232178 -0.32611304 -0.77255089 0.54228945]\n", - " [ 0.18508459 0.0153093 0.56859711 0.80137797]\n", - " [-0.12810799 0.93511485 -0.2637982 0.1988946 ]\n", - " [-0.97293087 -0.13775386 0.10135559 0.15542345]]\n", - "This is the 59 run out of 81 run.\n", - "The code has run 81.1817 seconds.\n", - "Estimated remaining time: 30.2711 seconds\n", - "=======This is the 60 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3812050819396973 s.\n", - "Existed information has been added.\n", - "FIM: [[ 31.71734916 7.29854327 -86.90405671 -30.22973035]\n", - " [ 7.29854327 30.12738394 -15.62568199 -151.47396021]\n", - " [ -86.90405671 -15.62568199 249.25058073 69.31843272]\n", - " [ -30.22973035 -151.47396021 69.31843272 807.51142812]]\n", - "Trace: 1118.606741960431\n", - "Determinant: 352265.93053194525\n", - "Condition number: 1157.5019448123237\n", - "Minimal eigen value: 0.731369368906729\n", - "Eigen values: [8.46561467e+02 2.69200418e+02 7.31369369e-01 2.11348733e+00]\n", - "Eigen vectors: [[ 0.05112181 -0.32491964 -0.76087976 0.55935299]\n", - " [ 0.18349975 0.01428386 0.58622697 0.78896245]\n", - " [-0.12523328 0.93598322 -0.25814533 0.2039927 ]\n", - " [-0.97366885 -0.13475387 0.10373479 0.15182048]]\n", - "This is the 60 run out of 81 run.\n", - "The code has run 82.5652 seconds.\n", - "Estimated remaining time: 28.8978 seconds\n", - "=======This is the 61 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.401050090789795 s.\n", - "Existed information has been added.\n", - "FIM: [[ 31.10005334 7.00415656 -85.51112338 -28.82462182]\n", - " [ 7.00415656 29.06295134 -14.8994589 -147.24385858]\n", - " [ -85.51112338 -14.8994589 246.34676968 66.2484418 ]\n", - " [ -28.82462182 -147.24385858 66.2484418 791.39773689]]\n", - "Trace: 1097.9075112415553\n", - "Determinant: 321261.1072732417\n", - "Condition number: 1206.2607176796919\n", - "Minimal eigen value: 0.6870415207970759\n", - "Eigen values: [8.28751198e+02 2.66350926e+02 6.87041521e-01 2.11834546e+00]\n", - "Eigen vectors: [[ 0.04997416 -0.32388984 -0.74853205 0.57645271]\n", - " [ 0.18211958 0.01362624 0.60381088 0.77592474]\n", - " [-0.12282242 0.93672065 -0.25260425 0.20895014]\n", - " [-0.97429446 -0.13215185 0.10631692 0.14826634]]\n", - "This is the 61 run out of 81 run.\n", - "The code has run 83.9686 seconds.\n", - "Estimated remaining time: 27.5307 seconds\n", - "=======This is the 62 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5802278518676758 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.61904319 6.70066134 -84.52860483 -27.6103242 ]\n", - " [ 6.70066134 28.23501444 -14.27185511 -144.32300206]\n", - " [ -84.52860483 -14.27185511 244.48029255 63.92533729]\n", - " [ -27.6103242 -144.32300206 63.92533729 781.40832224]]\n", - "Trace: 1084.742672417322\n", - "Determinant: 287091.8887813455\n", - "Condition number: 1270.1548612113952\n", - "Minimal eigen value: 0.6435916597485087\n", - "Eigen values: [8.17461075e+02 2.64575506e+02 6.43591660e-01 2.06249924e+00]\n", - "Eigen vectors: [[ 0.04868907 -0.3230202 -0.73551595 0.59355169]\n", - " [ 0.18086605 0.01330593 0.62129568 0.76230054]\n", - " [-0.12045256 0.93739782 -0.24720548 0.21369594]\n", - " [-0.97488873 -0.12948445 0.10907526 0.14466629]]\n", - "This is the 62 run out of 81 run.\n", - "The code has run 85.5513 seconds.\n", - "Estimated remaining time: 26.2173 seconds\n", - "=======This is the 63 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.450212001800537 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.20764168 6.38536954 -83.77945916 -26.53899956]\n", - " [ 6.38536954 27.58709508 -13.71814607 -142.28482105]\n", - " [ -83.77945916 -13.71814607 243.19229482 62.12514983]\n", - " [ -26.53899956 -142.28482105 62.12514983 775.12800093]]\n", - "Trace: 1076.1150325176336\n", - "Determinant: 254255.2773071438\n", - "Condition number: 1330.7789521030636\n", - "Minimal eigen value: 0.608797184781677\n", - "Eigen values: [8.10174480e+02 2.63374511e+02 6.08797185e-01 1.95724431e+00]\n", - "Eigen vectors: [[ 0.04736083 -0.32223551 -0.724051 0.60800607]\n", - " [ 0.17980376 0.01327246 0.63595878 0.75036716]\n", - " [-0.11822723 0.93802249 -0.24264785 0.2173894 ]\n", - " [-0.97542293 -0.12689337 0.11148365 0.14149058]]\n", - "This is the 63 run out of 81 run.\n", - "The code has run 87.0041 seconds.\n", - "Estimated remaining time: 24.8583 seconds\n", - "=======This is the 64 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1176772117614746 s.\n", - "Existed information has been added.\n", - "FIM: [[ 46.92629751 6.90338693 -138.62963954 -33.01752486]\n", - " [ 6.90338693 41.06895619 -17.06655062 -227.67404402]\n", - " [-138.62963954 -17.06655062 417.84730534 86.80549243]\n", - " [ -33.01752486 -227.67404402 86.80549243 1300.73494691]]\n", - "Trace: 1806.5775059519992\n", - "Determinant: 459604.7219933394\n", - "Condition number: 2702.7543876920536\n", - "Minimal eigen value: 0.4997565607094312\n", - "Eigen values: [1.35071924e+03 4.53858342e+02 4.99756561e-01 1.50017033e+00]\n", - "Eigen vectors: [[-0.03631039 0.31277851 -0.77902003 0.54219825]\n", - " [-0.17175452 -0.01378792 0.56437548 0.80733549]\n", - " [ 0.09967419 -0.94387759 -0.25567722 0.18381867]\n", - " [ 0.97941156 0.10523585 0.0961107 0.14297255]]\n", - "This is the 64 run out of 81 run.\n", - "The code has run 88.1241 seconds.\n", - "Estimated remaining time: 23.4080 seconds\n", - "=======This is the 65 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.2555770874023438 s.\n", - "Existed information has been added.\n", - "FIM: [[ 41.71632611 11.8524719 -116.57866267 -57.32295124]\n", - " [ 11.8524719 51.50216373 -29.62873093 -268.98746881]\n", - " [-116.57866267 -29.62873093 333.57636684 147.7549073 ]\n", - " [ -57.32295124 -268.98746881 147.7549073 1438.14215791]]\n", - "Trace: 1864.93701458946\n", - "Determinant: 425293.33387179556\n", - "Condition number: 2684.360803602728\n", - "Minimal eigen value: 0.5630645637492117\n", - "Eigen values: [1.51146844e+03 3.51483746e+02 5.63064564e-01 1.42175920e+00]\n", - "Eigen vectors: [[ 0.04986108 -0.3253461 -0.7734496 0.54170057]\n", - " [ 0.18236313 0.01979238 0.5662309 0.80357608]\n", - " [-0.13158898 0.9350533 -0.26583167 0.19414733]\n", - " [-0.9731094 -0.13940407 0.10242952 0.15209469]]\n", - "This is the 65 run out of 81 run.\n", - "The code has run 89.3822 seconds.\n", - "Estimated remaining time: 22.0018 seconds\n", - "=======This is the 66 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2706670761108398 s.\n", - "Existed information has been added.\n", - "FIM: [[ 38.00739612 10.84108997 -103.55045697 -48.58474746]\n", - " [ 10.84108997 43.89759997 -25.11239917 -218.36331941]\n", - " [-103.55045697 -25.11239917 291.47199138 116.19767124]\n", - " [ -48.58474746 -218.36331941 116.19767124 1125.23972746]]\n", - "Trace: 1498.6167149344094\n", - "Determinant: 469841.6247280835\n", - "Condition number: 1620.7512957765398\n", - "Minimal eigen value: 0.7323714028597419\n", - "Eigen values: [1.18699190e+03 3.09144162e+02 7.32371403e-01 1.74828128e+00]\n", - "Eigen vectors: [[ 0.05523448 -0.32901628 -0.78936724 0.51536085]\n", - " [ 0.18898188 0.01942047 0.54031673 0.81973564]\n", - " [-0.13764106 0.93258287 -0.27409578 0.19030404]\n", - " [-0.9707162 -0.14717445 0.0991398 0.16192912]]\n", - "This is the 66 run out of 81 run.\n", - "The code has run 90.6551 seconds.\n", - "Estimated remaining time: 20.6034 seconds\n", - "=======This is the 67 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3033967018127441 s.\n", - "Existed information has been added.\n", - "FIM: [[ 35.39211234 9.22308995 -95.69063657 -39.3487156 ]\n", - " [ 9.22308995 36.80267948 -20.33878885 -181.038465 ]\n", - " [ -95.69063657 -20.33878885 269.4670378 90.6183572 ]\n", - " [ -39.3487156 -181.038465 90.6183572 935.35577706]]\n", - "Trace: 1277.017606694349\n", - "Determinant: 478375.47935399483\n", - "Condition number: 1199.9989788371267\n", - "Minimal eigen value: 0.8212252566049608\n", - "Eigen values: [9.85469469e+02 2.88679300e+02 8.21225257e-01 2.04761261e+00]\n", - "Eigen vectors: [[ 0.05571542 -0.32911178 -0.7844296 0.52273457]\n", - " [ 0.18875266 0.01745765 0.54869009 0.81425232]\n", - " [-0.13569991 0.93279596 -0.27146248 0.19438454]\n", - " [-0.97100657 -0.14585045 0.09958669 0.16110983]]\n", - "This is the 67 run out of 81 run.\n", - "The code has run 91.9608 seconds.\n", - "Estimated remaining time: 19.2157 seconds\n", - "=======This is the 68 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4452309608459473 s.\n", - "Existed information has been added.\n", - "FIM: [[ 33.66002761 8.30594564 -91.05499891 -34.49662194]\n", - " [ 8.30594564 33.14116228 -17.83100411 -163.60574544]\n", - " [ -91.05499891 -17.83100411 257.89462145 78.35602391]\n", - " [ -34.49662194 -163.60574544 78.35602391 855.44802828]]\n", - "Trace: 1180.143839623319\n", - "Determinant: 459277.25895758584\n", - "Condition number: 1081.8197040357716\n", - "Minimal eigen value: 0.8314050126325663\n", - "Eigen values: [8.99430325e+02 2.77670210e+02 8.31405013e-01 2.21190000e+00]\n", - "Eigen vectors: [[ 0.05436601 -0.32790709 -0.77158474 0.54238203]\n", - " [ 0.18680442 0.01563656 0.56923733 0.80051762]\n", - " [-0.13162916 0.93387659 -0.26494772 0.20087555]\n", - " [-0.97201966 -0.14179899 0.10212027 0.15697861]]\n", - "This is the 68 run out of 81 run.\n", - "The code has run 93.4086 seconds.\n", - "Estimated remaining time: 17.8575 seconds\n", - "=======This is the 69 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3771250247955322 s.\n", - "Existed information has been added.\n", - "FIM: [[ 32.52442966 7.79952394 -88.27662362 -31.87818718]\n", - " [ 7.79952394 31.11498652 -16.47767841 -154.72362552]\n", - " [ -88.27662362 -16.47767841 251.58484594 72.12189285]\n", - " [ -31.87818718 -154.72362552 72.12189285 818.20431707]]\n", - "Trace: 1133.428579183614\n", - "Determinant: 424625.5063295614\n", - "Condition number: 1080.5771231432936\n", - "Minimal eigen value: 0.7948118154343831\n", - "Eigen values: [8.58855465e+02 2.71487052e+02 7.94811815e-01 2.29125042e+00]\n", - "Eigen vectors: [[ 0.05298068 -0.32645825 -0.75839465 0.56165435]\n", - " [ 0.18491122 0.01434479 0.589166 0.78643849]\n", - " [-0.12826537 0.93492766 -0.25836135 0.20665836]\n", - " [-0.97290744 -0.13830947 0.10473962 0.15281106]]\n", - "This is the 69 run out of 81 run.\n", - "The code has run 94.7883 seconds.\n", - "Estimated remaining time: 16.4849 seconds\n", - "=======This is the 70 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4008798599243164 s.\n", - "Existed information has been added.\n", - "FIM: [[ 31.74316474 7.42694102 -86.51369237 -30.09984737]\n", - " [ 7.42694102 29.7678141 -15.55855266 -149.36990345]\n", - " [ -86.51369237 -15.55855266 247.90970974 68.2364363 ]\n", - " [ -30.09984737 -149.36990345 68.2364363 797.81042745]]\n", - "Trace: 1107.231116021695\n", - "Determinant: 381369.94743284467\n", - "Condition number: 1131.228760170931\n", - "Minimal eigen value: 0.7392823596420406\n", - "Eigen values: [8.36297467e+02 2.67891780e+02 7.39282360e-01 2.30258650e+00]\n", - "Eigen vectors: [[ 0.05159752 -0.32519357 -0.74430518 0.58103066]\n", - " [ 0.18321977 0.01350159 0.60908704 0.77153172]\n", - " [-0.12535113 0.93583947 -0.25188368 0.21224088]\n", - " [-0.97368132 -0.1351715 0.10759823 0.14864717]]\n", - "This is the 70 run out of 81 run.\n", - "The code has run 96.1918 seconds.\n", - "Estimated remaining time: 15.1159 seconds\n", - "=======This is the 71 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5809671878814697 s.\n", - "Existed information has been added.\n", - "FIM: [[ 31.13438628 7.04282989 -85.27019232 -28.5630018 ]\n", - " [ 7.04282989 28.71995645 -14.7642416 -145.67319431]\n", - " [ -85.27019232 -14.7642416 245.54744961 65.29625692]\n", - " [ -28.5630018 -145.67319431 65.29625692 785.16757397]]\n", - "Trace: 1090.569366309676\n", - "Determinant: 334072.2908212103\n", - "Condition number: 1201.6870700885588\n", - "Minimal eigen value: 0.6840342314306751\n", - "Eigen values: [8.21995091e+02 2.65653696e+02 6.84034231e-01 2.23654444e+00]\n", - "Eigen vectors: [[ 0.05001058 -0.32412002 -0.72914289 0.6006628 ]\n", - " [ 0.18166178 0.01308144 0.62914363 0.7556495 ]\n", - " [-0.12242742 0.93668688 -0.24550229 0.21761858]\n", - " [-0.97442776 -0.1318817 0.1107139 0.14436129]]\n", - "This is the 71 run out of 81 run.\n", - "The code has run 97.7754 seconds.\n", - "Estimated remaining time: 13.7712 seconds\n", - "=======This is the 72 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4995362758636475 s.\n", - "Existed information has been added.\n", - "FIM: [[ 30.61370624 6.64378871 -84.32205484 -27.20710656]\n", - " [ 6.64378871 27.89993353 -14.0634536 -143.09362149]\n", - " [ -84.32205484 -14.0634536 243.91732749 63.01789467]\n", - " [ -27.20710656 -143.09362149 63.01789467 777.21904233]]\n", - "Trace: 1079.6500095886515\n", - "Determinant: 289208.71561637335\n", - "Condition number: 1271.2648772423802\n", - "Minimal eigen value: 0.6393346215801524\n", - "Eigen values: [8.12763649e+02 2.64139927e+02 6.39334622e-01 2.10709845e+00]\n", - "Eigen vectors: [[ 0.04834993 -0.32314612 -0.71522959 0.61780702]\n", - " [ 0.1803307 0.01302644 0.64651616 0.74116665]\n", - " [-0.11964922 0.93747381 -0.23994152 0.22193464]\n", - " [-0.97510368 -0.12864585 0.11354098 0.14046888]]\n", - "This is the 72 run out of 81 run.\n", - "The code has run 99.2772 seconds.\n", - "Estimated remaining time: 12.4097 seconds\n", - "=======This is the 73 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.1219899654388428 s.\n", - "Existed information has been added.\n", - "FIM: [[ 51.20654467 7.25310176 -151.97488617 -35.12717031]\n", - " [ 7.25310176 44.50762916 -18.15691273 -248.41784964]\n", - " [-151.97488617 -18.15691273 459.45602584 93.38307296]\n", - " [ -35.12717031 -248.41784964 93.38307296 1425.87202018]]\n", - "Trace: 1981.0422198461438\n", - "Determinant: 561207.9662178434\n", - "Condition number: 2950.219453820002\n", - "Minimal eigen value: 0.5016011129279737\n", - "Eigen values: [1.47983336e+03 4.99192705e+02 5.01601113e-01 1.51455236e+00]\n", - "Eigen vectors: [[-0.03538093 0.31203439 -0.77934566 0.5422205 ]\n", - " [-0.17098781 -0.01375255 0.56416592 0.80764525]\n", - " [ 0.09797726 -0.9443377 -0.25524835 0.18296187]\n", - " [ 0.9797509 0.10330398 0.09584074 0.1422358 ]]\n", - "This is the 73 run out of 81 run.\n", - "The code has run 100.4018 seconds.\n", - "Estimated remaining time: 11.0029 seconds\n", - "=======This is the 74 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.248506784439087 s.\n", - "Existed information has been added.\n", - "FIM: [[ 44.77448121 13.36308321 -124.75145794 -65.13386954]\n", - " [ 13.36308321 57.3881323 -33.66577731 -299.42207777]\n", - " [-124.75145794 -33.66577731 355.41783016 168.62926416]\n", - " [ -65.13386954 -299.42207777 168.62926416 1595.51055227]]\n", - "Trace: 2053.0909959474125\n", - "Determinant: 513228.2976445542\n", - "Condition number: 2917.190381044787\n", - "Minimal eigen value: 0.5753167063296618\n", - "Eigen values: [1.67830836e+03 3.72781455e+02 5.75316706e-01 1.42586218e+00]\n", - "Eigen vectors: [[-0.05047007 0.32648857 -0.77233623 0.54254469]\n", - " [-0.18287382 -0.02050882 0.56719727 0.80276012]\n", - " [ 0.13340808 -0.93436539 -0.26673157 0.1949817 ]\n", - " [ 0.9727344 0.14122999 0.10314205 0.15232724]]\n", - "This is the 74 run out of 81 run.\n", - "The code has run 101.6535 seconds.\n", - "Estimated remaining time: 9.6159 seconds\n", - "=======This is the 75 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2861909866333008 s.\n", - "Existed information has been added.\n", - "FIM: [[ 40.19555527 12.11446351 -108.66725425 -54.3459603 ]\n", - " [ 12.11446351 47.99978202 -28.09006195 -236.92312113]\n", - " [-108.66725425 -28.09006195 303.43712402 129.66971892]\n", - " [ -54.3459603 -236.92312113 129.66971892 1209.21119331]]\n", - "Trace: 1600.843654620789\n", - "Determinant: 574493.5923426447\n", - "Condition number: 1641.1009368547748\n", - "Minimal eigen value: 0.7786241106559912\n", - "Eigen values: [1.27780076e+03 3.20462430e+02 7.78624111e-01 1.80184355e+00]\n", - "Eigen vectors: [[ 0.0568252 -0.33099073 -0.78928624 0.51404598]\n", - " [ 0.19061862 0.02031409 0.53926995 0.82002427]\n", - " [-0.1409001 0.93130083 -0.27612117 0.1912669 ]\n", - " [-0.96983638 -0.15070249 0.09986122 0.16350503]]\n", - "This is the 75 run out of 81 run.\n", - "The code has run 102.9437 seconds.\n", - "Estimated remaining time: 8.2355 seconds\n", - "=======This is the 76 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3080360889434814 s.\n", - "Existed information has been added.\n", - "FIM: [[ 36.96680994 10.1169327 -98.96377145 -42.94345541]\n", - " [ 10.1169327 39.24062076 -22.19671301 -190.84306041]\n", - " [ -98.96377145 -22.19671301 276.27051038 98.09031344]\n", - " [ -42.94345541 -190.84306041 98.09031344 974.78662483]]\n", - "Trace: 1327.2645659113318\n", - "Determinant: 586703.6867346049\n", - "Condition number: 1154.5643300518498\n", - "Minimal eigen value: 0.8912447563558519\n", - "Eigen values: [1.02899941e+03 2.95206809e+02 8.91244756e-01 2.16710690e+00]\n", - "Eigen vectors: [[ 0.0578611 -0.33121289 -0.78442655 0.52117666]\n", - " [ 0.19074339 0.01817303 0.54757119 0.81452593]\n", - " [-0.13962694 0.93133834 -0.27347645 0.19576479]\n", - " [-0.96993472 -0.15025534 0.10025673 0.16309062]]\n", - "This is the 76 run out of 81 run.\n", - "The code has run 104.2544 seconds.\n", - "Estimated remaining time: 6.8588 seconds\n", - "=======This is the 77 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.462061882019043 s.\n", - "Existed information has been added.\n", - "FIM: [[ 34.82843368 8.98465572 -93.24076194 -36.95321608]\n", - " [ 8.98465572 34.72022928 -19.10068248 -169.32118473]\n", - " [ -93.24076194 -19.10068248 261.98357659 82.95163035]\n", - " [ -36.95321608 -169.32118473 82.95163035 876.1350836 ]]\n", - "Trace: 1207.667323148074\n", - "Determinant: 560761.244544903\n", - "Condition number: 1016.6953838933143\n", - "Minimal eigen value: 0.9075873160350136\n", - "Eigen values: [9.22739835e+02 2.81642447e+02 9.07587316e-01 2.37745440e+00]\n", - "Eigen vectors: [[ 0.056533 -0.32983839 -0.77051818 0.54250567]\n", - " [ 0.18863263 0.01601912 0.56994713 0.79957575]\n", - " [-0.13533435 0.93253239 -0.26619814 0.20299388]\n", - " [-0.97103366 -0.14605949 0.10295902 0.15861809]]\n", - "This is the 77 run out of 81 run.\n", - "The code has run 105.7190 seconds.\n", - "Estimated remaining time: 5.4919 seconds\n", - "=======This is the 78 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.373279094696045 s.\n", - "Existed information has been added.\n", - "FIM: [[ 33.42646128 8.35944401 -89.81066931 -33.72058097]\n", - " [ 8.35944401 32.21877784 -17.42991033 -158.35560484]\n", - " [ -89.81066931 -17.42991033 254.19373028 75.25517256]\n", - " [ -33.72058097 -158.35560484 75.25517256 830.15519359]]\n", - "Trace: 1149.9941629861146\n", - "Determinant: 513459.05664163764\n", - "Condition number: 1009.1034533531276\n", - "Minimal eigen value: 0.8647458183914464\n", - "Eigen values: [8.72617992e+02 2.74028305e+02 8.64745818e-01 2.48312030e+00]\n", - "Eigen vectors: [[ 0.0549935 -0.32812852 -0.75602079 0.56368427]\n", - " [ 0.18644071 0.01443566 0.59187188 0.78404028]\n", - " [-0.13153067 0.93376588 -0.2587196 0.2093923 ]\n", - " [-0.97206752 -0.14214279 0.10575638 0.15393425]]\n", - "This is the 78 run out of 81 run.\n", - "The code has run 107.0948 seconds.\n", - "Estimated remaining time: 4.1190 seconds\n", - "=======This is the 79 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4319868087768555 s.\n", - "Existed information has been added.\n", - "FIM: [[ 32.46193631 7.89946484 -87.6342104 -31.52509933]\n", - " [ 7.89946484 30.55560189 -16.29518665 -151.74607116]\n", - " [ -87.6342104 -16.29518665 249.65652434 70.45831169]\n", - " [ -31.52509933 -151.74607116 70.45831169 804.97755171]]\n", - "Trace: 1117.6516142451649\n", - "Determinant: 454517.04885885824\n", - "Condition number: 1059.7997094874358\n", - "Minimal eigen value: 0.7970814188484145\n", - "Eigen values: [8.44746656e+02 2.69604106e+02 7.97081419e-01 2.50377045e+00]\n", - "Eigen vectors: [[ 0.05337759 -0.32661762 -0.7403787 0.58507363]\n", - " [ 0.18442587 0.01338178 0.61386088 0.76745218]\n", - " [-0.12811295 0.93486205 -0.25133676 0.21552227]\n", - " [-0.97299795 -0.1384731 0.10883033 0.14918496]]\n", - "This is the 79 run out of 81 run.\n", - "The code has run 108.5292 seconds.\n", - "Estimated remaining time: 2.7476 seconds\n", - "=======This is the 80 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5811049938201904 s.\n", - "Existed information has been added.\n", - "FIM: [[ 31.71035796 7.42525356 -86.0990254 -29.62775912]\n", - " [ 7.42525356 29.26195047 -15.31455591 -147.18223271]\n", - " [ -86.0990254 -15.31455591 246.74015456 66.82846121]\n", - " [ -29.62775912 -147.18223271 66.82846121 789.36909062]]\n", - "Trace: 1097.0815536086095\n", - "Determinant: 390533.5375384314\n", - "Condition number: 1134.9974877008417\n", - "Minimal eigen value: 0.7286990827395959\n", - "Eigen values: [8.27071628e+02 2.66852968e+02 7.28699083e-01 2.42825870e+00]\n", - "Eigen vectors: [[ 0.05147169 -0.32532815 -0.7232187 0.6070148 ]\n", - " [ 0.18254089 0.01284389 0.63625522 0.74946191]\n", - " [-0.12460497 0.93589476 -0.24399628 0.22145072]\n", - " [-0.97391123 -0.13452744 0.11224889 0.14422019]]\n", - "This is the 80 run out of 81 run.\n", - "The code has run 110.1129 seconds.\n", - "Estimated remaining time: 1.3764 seconds\n", - "=======This is the 81 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.482234001159668 s.\n", - "Existed information has been added.\n", - "FIM: [[ 31.06754308 6.93261012 -84.9284853 -27.95381436]\n", - " [ 6.93261012 28.24957649 -14.44938555 -143.99757491]\n", - " [ -84.9284853 -14.44938555 244.72765813 64.01566832]\n", - " [ -27.95381436 -143.99757491 64.01566832 779.5560886 ]]\n", - "Trace: 1083.6008663096845\n", - "Determinant: 330586.4905784959\n", - "Condition number: 1212.388775069196\n", - "Minimal eigen value: 0.6727727401066618\n", - "Eigen values: [8.15662118e+02 2.64992592e+02 6.72772740e-01 2.27338343e+00]\n", - "Eigen vectors: [[ 0.04944936 -0.32415168 -0.70688843 0.62672897]\n", - " [ 0.18091586 0.01275908 0.65620673 0.73246119]\n", - " [-0.12122713 0.93686107 -0.23742408 0.22632968]\n", - " [-0.9747452 -0.13059183 0.11546121 0.1395933 ]]\n", - "This is the 81 run out of 81 run.\n", - "The code has run 111.5976 seconds.\n", - "Estimated remaining time: 0.0000 seconds\n", - "The whole run takes 111.59761500358582 s.\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -3611,229 +1348,10 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "991969ba", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 700.0)\n", - "[\"'CA0'\"] is/are fixed.\n", - "1D sensitivity curve is plotted with T .\n" - ] - }, - { - "data": { - "image/png": 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\n", 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G8IB3teTj+wNxCG4++0hpDOQB2wKWb/bWFbXf5mL2mQ0MBi4EbvfWzRSR+sEOqKqvqmq6qqY3bBh0nitTwTWtE7xhoFmdVG7u1Yre7eqTVjMlppNSoPZpNXny8pOY9ch5DL+0M3tycnlw3I+c8cx0/jZ1GRt3B0/GxoRbqInpcaA78KP3XIFBIvIl0At37yYkIjJCRLSYx9lFHYLjW0+CCVx/3D6q+pmqvq+qC1T1C+AS3LkZFOrnMYmhV9t6BZalVk5m6ICOUYgmvGqmVGbwGW344qGzeHPIaXRtUYfRX66k71++5Ndvz2X2z9sJ5RaAMaEKqSlPVX/07iWNBB7FfcHfiysuOEtVS9O9fBTwVjHbrMMlvmSgAe5ek08a8E0R+26i4BVVGgWvoo5S1X0i8hPQoZi4TAL6evlWJs7fQJemtdi5/zAbdx+skGPSJSUJ/To0pF+HhqzfcYA3Z61l3A/r+XThRjo1rsmgPq0Z2LUZqVWsmc+EV0jFD8ftKJIC1AN2qeqBsEYV/P18xQ+DVfUdb1lzXNIqrvihrqr+wm/ZVGC7r/ghyD4pwGrgZVV9sqi4rPghsazYvJcrX5pJs7qpjL+7DzWqJlYf9ZzDeXw8P5vXZ65h6aa91EqpxLU9W3Bzr9a0rF/Y7WdjCgpbVV60eeXil3F8uXhd/MrFRWQaMEdVh3mv++CuqB4HPgKuAJ4E+vqViz8LfIJLcmkc60B8sqoWOi89WGJKJNv3HWLgS9+Rczifj+89g2aF3GdKBKrKD2t2Mvb7NUxetIl8Vc7tmMagPq3p276BDX1kihW2qjwRKa64QVX1vFCOGaIHgSPAOI51sL0loA9TO2C9X0AzReQ6YATuHtgq4FpfUvI0B97lWDPhLKBXcUnJJI6DuXnc8WYmW/YcYtydvRM6KQGICKe1qcdpbeqxafdB3pm9lnfmrOOWf8+hbYPq3Ny7FVf3aE7NFBv6yIQu1H5MX1GwkKA+0BH3hb5cVc8NW3RxwK6YKj5V5aH3f+SjedmMvqEbl5zSNNohxaRDR/L4bOEmxn6/hnnrdlG9SjJXdm/OoD6taJ9WE7C5oswxYbtiUtWzC3mDdsBE4OlQgzMm1r345Uo+mpfNw/1PsKRUhKqVkhnYrRkDuzVjQdYuxs5c60aXmLWWM9rXp1PjWrw9ay0HvfH/bK4oU5iw3WMSkRuB36pqt7AcME7YFVPFNmnBBu59Zx5XdGvGc788Na76JcWC7fsO8d4P63l71lo2FDIlR7M6qXz3h4RqaDEUfcUUzlEbtwInhPF4xkTV/PW7ePj9H0lvVZdnrjrZklIp1K9RlV+f055vfndOodsUNoqGSVxhSUwiUg94CFdYYEzcy96Vw21jM0irVZV/3tzDhuQpo0rJSYUWjDSpnVLO0ZhYF1JiEpHVIvJzwCML11n1POCxiERpTDnad+gIQ17/gUO5efx7UE/q22jbYTF0QEdSg4ycXiu1Mlv2Bm/mM4kp1N6BX1OwKu8gboTvD1TVrphMXMvLV+5/dx4rtuzj34N70qFRzWiHVGEEzhXVpHYKfdo34JMfN3DhqG8Zec0pnNupUZSjNLEgrjrYxiIrfqhYRkxazGszVvOny7twc+/W0Q4nIazYvJffvDefJRv3cEvvVjxy0YnlMieVia7yKn4wJq69M3sdr81YzeA+rS0plaMOjWoy8dd9GNK3DW98v5bLRs9gycY90Q7LRJElJmOA71Zu4/8+XsTZHRvy2MUnRjuchFO1UjKPX9KZN351GjsP5HL5i9/x7xmryc+3Fp1EVGxiEpF8Eckr4eNIeQRtTDit3LKPu97KpG3D6rxwfTcqJdvfa9Fy5gkNmXx/P87s0IAnJy1m8Os/WGFEAipJ8cOTFD/fkTFxaef+wwwZ+wNVKyUxZlBPG9stBtSvUZV/3ZLOW7PXMWLSYi4c9S1/vfoUzjvRCiMShRU/lJEVP8Svw0fyuWnMbOav38W7t/eiR6u60Q7JBFi5ZS/3vWuFERWRFT8YE0BVeeSjhcxZvYORV59iSSlGtU9zhRG3eYURl74wg8UbrDCioivVLGcicipuRPECXbZV9Y2yBmVMpL3y9c+Mz8zi/vM6cHlXG0A0llWtlMxjl3TmzBMa8vAHPzLwxe/43QUd+dUZbWzepwoq1Gkv6gCf4qY5Bze1Ovjdg1LVhLrOtqa8+DN50Ubuemsul57alH9c19XGwIsjO/Yf5nfjF/DFks2ceUJDnr36FNJq2ZBG8SicTXlP4+ZfOhOXlK4AzgXeBn4GTitDnMZE3MKs3Twwbj7dWtZh5NWnWFKKM/WqV+Fft/RgxMCTmLN6Oxc8/y3TlmyOdlgmzEJNTANwyWmW9zpLVb9S1VuAL4D7wxmcMeG0afdBbnvjB+pXr8qrN6fbTfQ4JSLc1KsVk+7rS6NaKQwZm8HjExeRcziv+J1NXAg1MTUBfvamMj8I+A8kNgG4OFyBGRNOBw4fYcjYH9h/KI8xg9NpWNMGZo13vsKI2/u14c1Za7l0tBVGVBShJqZNQB3v+Vqgt9+69uEIyJhwy89XHvDGYnvh+m50alwr2iGZMKlaKZlHL+7Mm0NOY09OLgNf/I7Xvv3ZRoyIc6EmphkcS0ZvAk+IyD9F5EVgJDAlnMEZEw5/nbKMqYs38/glnTmnU1q0wzER0K9DQyY/cCZnntCQEZ8uYdB/5rBlj40YEa9CTUx/BCZ7z0cCL+Ka764H/gvcF77QjCm79zPW88rXq7ipV0sG92kd7XBMBPkKI5664iR+WLODC57/ls8XW2FEPLKRH8rIysVj1/ertnPzmNn0bleffw/uSWUbAy9hrNyyl9+8O5/FG/dwU6+WPHpRZ1KrWLFLLAlbubiIzBWRB0TEBq0yMW31tv3c/XYmrRtUZ/QN3S0pJZj2aTX5yCuMeGvWOi4dPYOfNuyOdlimhEL937oZ+CuwXkT+JyLXiYj1bjMxZfeBXIa8/gMC/HtQT2qn2sCsiSiwMOKKF2daYUScCCkxqeqFQHPgd0Aa8A6wWUTGiMg5EYjPmJDk5uVz99uZZO3M4dVb0mlZv1q0QzJR5iuMOKujFUbEi5DbN1R1i6qO8toGu+AKIM4DvhCRteEO0JiSUlUen7iImau288xVJ9Ozdb1oh2RiRL3qVXj15mOFEQNGfWOFETGsTA3vqroEN1/To8AG3NWUMVExZsZq3vthPfee054ru9uvojmeiHDj6W7EiCa1U7n9jQwe/WihjRgRg0qdmETkXBH5D+6+0xtAFhEuFxeRqiLygohsE5H9IvJfESnyG0hEuojIeBH5WURURIYXst09IrJaRA6KSKaI9IvIhzAR8cXizTz1vyVcdHJjHup/QrTDMTHMVxhxx5lteXu2K4wYPX0FZzwznTZ/+JQznpnOxHnZ0Q4zoYValXeSiDwjIuuAz4GzgOeBTqraW1VfikSQfkYBV+H6TfUDagGTRKSoOtBqwBrgMWB1sA1E5Frc53ga6AbMBD4TkZbhCtxEzk8bdvOb9+ZxSrPa/O2arjYVgilW1UrJPHLRibw15HS27DnIs1OXk70rBwWyd+UwbMJCS05RFOoV0wLgTlwn27NVta2q/p+qrgh/aMcTkdrAEGCoqn6uqnOBm4FTgPML209Vf1DV36rqO8CBQjZ7CHhdVf+lqktU9T5gI3B3eD+FCbctew5y29gMaqdW5l+3pFtfFROSvh0aUK1KwWnpcnLzGDllWRQiMhB6YroWaKyqd6jqt5EIqAg9gMrAVN8CVV0PLAH6lPagIlLFO/bUgFVTy3JcE3k5h/O4/Y0Mdufk8tqgdJuXx5TK5kIq9DbsyinnSIxPqOXiH6jqoUgFU4zGQB6wLWD5Zm9daTUAkr3jlOi4InKHiGSISMbWrVvL8NamtPLzlYc/mM+C7N3847pudGlaO9ohmTjVtE5q0OV1qln/t2gJufhBRAaJyGQRWewVFPg/VpXieCO8ooSiHmcXdQj8ZtAtg8BjFHpcVX1VVdNVNb1hw4ZheGsTquc+X87/Fm7i0YtO5PzONhCJKb2hAzqSGjA3V5LAzgO5/GnSYnLz8qMUWeIq2LhaBBF5HDeQ6yJgPhCOq6dRwFvFbLMON517Mu4Kx/8yJQ34pgzvvw13JRZ4dZRGwasoEwMmzM1i9Jcruf60Fgzp2yba4Zg4N7BbMwBGTlnGhl05NK2TyoPnd2DRhj2MmbGahdm7efGG7jaHVzkKKTHhig+eV9UHwxWAqm6jYPNcASKSCeQC/XEjTuCVip+Iq6Ir7fsf9o7dH/jAb1V/4MPSHteEz8R52Ue/NOrXqMLOA7n0aVefJy8/yaZGN2ExsFuzownK52rg1Ba1GTZhIZe88C0v3diDHq3qRifABBNqU1594JNIBFIcVd0NjAFGisj5ItINNyfUAty07gCIyDQR+bPf6yoi0lVEugIpQGPvtf/Ehs8Bg0XkNhE5UUSeB5oCr0T+k5miTJyXzbAJC4+W8m7bd5j8fOWSU5rYwKwm4q7o1pwJd59B1UrJXPfq97w5ay02I0Pkhfo/+2vg1EgEUkIP4qZwHwd8B+wDLvWmevdph5sC3qcpMM97tMOVu88DXvNtoKrjgAdwfZ3mA32Bi1TVhliKspFTlpGTe3zPfAVe/DLk25nGlErnprX45N6+9G3fgMcnLuK3HyzgYK6NFhFJoTblPQBMEJHtwP+AHYEbqGrE7hSq6kHc6BKFjjChqq0DXq/BFTIUd+yXgEh3EDYhKqxk10p5TXmqXa0yYwb15PlpK3h+2gqWbtrDKzf1oEU9GyQ4EkK9YloOnAT4hiLKDXgcDmt0JuEVVspb2HJjIiUpSXiw/wmMGZTOuh0HuOSFGXy93LqLREKoV0xPEp7SbGNKZOiAjvxu/AIO+5XsplZOZuiAjlGMyiSy805sxCf39uWutzIZ/J85PNz/BO45u70NhRVGNrV6GdnU6pF37T+/Z87qHSjQrE4qQwd0LFBBZUx5O3D4CMMmLOTj+Rs4/8RGPHftqdRKsU65JVXU1OqhXjEZU64OHD7CouzdXJPenL9eHc26G2OOV61KJUZd25WuLerw1KdLuHz0d7xyUw86Nq4Z7dDiXmlGfugmIhO8qSeOiEh3b/nTInJB+EM0ieyzhZvYfziPa9JbRDsUYwoQEW49ow3v3tGLfYeOMPDF7/jkxw3RDivuhTrtRV/ge6ATrpOr//75wF3hC80Y+CBzPa3rVyPdOjaaGNazdT0m3deXzk1rcd+782woozIK9YrpGWAKbkr1hwLWzQW6hyMoYwDW7zjArJ93cHWP5jbCg4l5jWql8O7tvRjUuxVjZqzmptdms3VvtMa8jm+hJqbuwMvqKiYCqya2ATaiqQmb8ZlZiGDTpJu4UaVSEn+8/CT+fu2p/Ji1i0te+Ja563ZGO6y4E2piOoibETaYJsDusoVjjJOfr3w4N4u+7RtYnyUTd67o1pwP7+5DlUpJXPtPG8ooVKEmphnAAwFTmfvO9hBgeliiMglv1urtZO3M4eoedrVk4lOXprX55N6+nGFDGYUs1MT0OK4570fvuQKDRORL3LQUfwxveCZRjc/MomZKJQZ0KcsckMZEV51qVfj3oJ785rwOfDg3i6tensn6HQeiHVbMC3UG2x+BM3HDET2KG4PuXm/1Waq6LLzhmUS079ARPlu4iUtPbUpKwARuxsSbpCThIb+hjC4dPYNvbCijIoXcj0lV56rqeUBNoDlQS1XPUdV5YY/OJKRPF2wgJzfPmvFMheIbyqhRzRQG/WcOo6evID/f7jsFU+oJbVT1oKpuUFW7LjVhNT4zi3YNq9OtRZ1oh2JMWLVuUJ2Pft2HS09pyrNTl3PnW5nsOZgb7bBiTqhTqxdV3JCPq8rLBMaoqk1LbkK2ett+flizk99f0Mn6LpkKqVqVSjx/nRvK6On/2VBGwYR6xSRAR+BsoBVuRthW3usTgTa4oohFItI5bFGahPFhZhZJAld2t0FaTcUlIvyqbxveub0Xew8e4YqXvmPSAhvKyCfUxPQcri9TD1Vtp6p9VLUd0NNb/kegA7AVeCqskZoKL8/ru3TmCQ1pVCsl2uEYE3GntanHp7/pS6fGNbn3nXmMmLSYIzaUUciJaQQwPLDQQVUzcUlphKpmASNx1XvGlNjMVdvYuPsg1/SwAVtN4mhUK4X37ujNLb1b8dqM1dxoQxmFPO3FCbihh4LZCrT3nq8Cqpc2KJOYPsjIonZqZc7vnBbtUIwpV1UqJfHk5SfRtUUdhk1YyKUvzOClm7qzbvsBRk5ZxoZdOTRNoLnIQk1Ma4DbgM+CrLvDWw/QANhe6qhMwtmdk8uUnzZxbc8WVK1kfZdMYrqye3M6Nq7JXW9lcs0r35ME5Hol5dm7chg2YSFAhU9OoTblPQkMFJEFIvKEiNzt/bsAuJxjIz+cD8wOZ6CmYpu0YAOHjuRbM55JeL6hjColydGk5JOTm8fIKRV/HIOQrphU9V0R2YZLQI8AlYFcIAP4hap+4W36EGCDQpkS+yAji46NanJSs1rRDsWYqKtTrQqHjgQvgtiwK6ecoyl/pRn54XNV7QOkAo2BVFU9wy8p+TrfWq8xUyIrt+xl/vpdXJNu8y4Z49OskFH1m9Su+BWrZRn5IV9Vt6iq1TaaMvkgM4vkJOHyrhW73dyYUAwd0JHUIGNFplROrvADwZY6MRkTDkfy8vlobjbndEyjYc2q0Q7HmJgxsFsz/nzlyTSrk4oATWuncOPpLdm69xAXPv8tH2Ssr7BzPBV7j0lE8oDeqjpHRPIpOHOtP1XVUCv9TAL7dsU2tuw9ZAO2GhPEwG7NClTg3X12Ox56/0eGjl/AtCVbePrKk6lXvUqUIoyMkiSRJ4Esv+cVM0WbqBifmUW96lU4t5P1XTKmJJrXrca7t/fiX9/+zN+mLmPAqJ2MvPoUzu5Ycf4PFZuYVPWPfs+HRzSaYohIVeBZ4Hpc8cU04B5vtInC9umCqyLsjhvL74+Bn0NEhgNPBOy6WVVtlroI2nXgMJ8v3sxNvVpRpZK1KhtTUslJwl1ntaNfhwY8OG4+g//zA4N6t+IPF55IapX47wcYb98Go4CrcImpH1ALmBQw1XugariOv48Bq4vYbhnQxO9xctnDNUX5eP4GDuflWzOeMaXUpWlt/ntvX351RhvGfr+WS174lkXZu6MdVpmFnJhEpJuITBCRbSJyRES6e8ufFpELwh/i0fetDQwBhnol63OBm4FTcB16g1LVH1T1t6r6DlBUKcsRVd3k97ApJiNsfGYWXZrWonNT67tkTGmlVE7m/y7tzFtDTmf/oTwGvvgdL365krw4noQwpMQkIn2B74FOwDsB++cDd4UvtAJ64Dr0TvUtUNX1wBKgTxiO31ZEskVktYi8JyJtw3BMU4ilm/awMHu3XS0ZEyZ9OzRg8gP9GHBSY0ZOWca1//w+bsvKQ71iegaYAnTBje7gby7uPk6kNMaNJhE4iOxmb11ZzAYGAxcCt3vHmyki9YNtLCJ3iEiGiGRs3WoXVqUxPiOLysnWd8mYcKpTrQqjr+/G3689lWWb9nLBqG94Pw7LykNNTN2Bl9V9ysBPug1oGGoAIjJCRLSYx9lFHSJILCFR1c9U9X1VXeCNYHEJ7twMKmT7V1U1XVXTGzYM+SMnvNy8fCbOz+a8To0qXJmrMdEmIlzRrTmfPdCPk5rV5nfjF3DXW5ns2H842qGVWKiJ6SCumCCYJrip1UM1Cjf7bVGPOcAmIBk3crm/NNxVU9io6j7gJ9ykhybMvlq2lW37DnNNujXjGRMpzetW453bezHswk5MX7qFAaO+4ctlW6IdVomEmphmAA8EVMH5rlaGANNDDUBVt6nq0mIeB4BM3ICx/X37ikhzXOKaGer7FkVEUnD30TaG87jG+SBjPQ1qVOWsE+xq05hISk4S7jyrHRN/fQZ1q1Xm1v/8wOMTF5FzOLbH2A41MT2Oa8770XuuwCAR+RLoxbFpL8JOVXcDY4CRInK+iHQD3gQWAEcHkBWRaSLyZ7/XVUSkq4h0BVKAxt7r9n7bPCsiZ4lIGxE5HRiPm+hwbKQ+T6Latu8Q05du4cruzaiUHG+9FYyJT/5l5W/OWsvFL3zLwqzYLSsP6ZtBVX/ETZm+GXgUd3/nXm/1Waoa6YlCHgQmAOOA74B9wKWq6p/+2+GaFX2aAvO8RzvgTu/5a37bNAfexfVlmgAcAnqp6trIfIzE9fH8DRzJV6vGM6ac+ZeVHziUxxUvfcfo6StisqxcSlut4TV31QN2eU1tCSk9PV0zMjKiHUZcUFUufP5bqlZK4uN7+0Y7HGMS1q4Dh3ls4iImLdhIj1Z1+fsvu9KyfmHlA5EhIpmqmh5sXVmmvTioqhsSOSmZ0Py0YQ9LN+3l6nSbpdaYaKpTrQovXN+NUdd2ZfnmvVz4fGyVlVsjvyk34zOzqFIpictOaRrtUIxJeCLCwG7NmPzAmZzcPLbKyi0xmXJx6EgeE+dn84vOjahdrXK0wzHGeJrVSeWd23rxyEWd+HLp1pgoK7fEZMrF9CVb2HUg14oejIlBSUnCHWe24+N7z6BetSpRLyu3xGTKxfjMLBrVqkq/DtZ3yZhYdWKTWnx87xnc1vdYWfmCrF3lHoclJhNxW/Ye5KvlW7mye3OSkyTa4RhjipBSOZnHLunMO7edTs7hPK58aSajp6/gSF5+ucVQbGISkXwRySvh40h5BG3iy0dzs8mzvkvGxJU+7Rsw+f4zufDkJjw7dTnXvjqLddvLpwi7pFOrx0YNoYk7qsr4zCy6t6xDu4Y1oh2OMSYEtatV5oXru3H+iWk8NnERFz7/DU9c2oXKycKzU5ezYVcOTeukMnRARwZ2C99MASWZWn142N7NJJwfs3azYss+/nylTQhsTLy6vGsz0lvX4+H35/O7DxeQJOAbMCJ7Vw7DJiwECFtysntMJqLGZ64npXISF5/SpPiNjTExy1dWXiulEoGjGOXk5jFySvhGpCtJU14BInIq0BE3KOpxVPWNsgZlKoaDuXn8d/4GLujSmFop1nfJmHiXlCTsPRi8lGDDrpywvU9IiUlE6gCf4kYSBzeIKxx/D8oSkwHg88Wb2XPwCNfYEETGVBhN66SSHSQJNa2TGrb3CLUp72mgPm6EcQGuAM4F3gZ+Bk4LW2Qm7n2QmUWzOqn0bht0hnpjTBwaOqAjqZWTj1uWWjmZoQM6hu09Qk1MA3DJaZb3OktVv1LVW3BzIt0ftshMXNu0+yAzVmzlqu7NSLK+S8ZUGAO7NePPV55MszqpCO7e05+vPLl8q/ICNAF+VtU8ETkI1PRbNwF4L2yRmbj24dws8hWusr5LxlQ4A7s1C2siChTqFdMmoI73fC3Q229d+wJbm4Tk67t0Wpt6tKpfPdrhGGPiTKhXTDNwyWgSblrzJ0SkNXAEGAT8N6zRmbg0d91OVm/bz91nt4t2KMaYOBRqYvojbqpygJG4QohrgWq4pHRf+EIz8eqDjCyqVUnm4pOt75IxJnQhJSZVXQWs8p7nAg97D2MAyDmcx6QFG7no5CZUr1qqbnLGmARX2g62LYAWBO9gO72sQZn4Nfmnjew7dMQGbDXGlFqoHWzb4vos+for+XewFe/f5CC7mgQxPjOLlvWqcVrretEOxRgTp0K9YnoNaAk8ACwFoj85vIkZWTsPMHPVdh447wTru2SMKbVQE1NPYLCqfhiJYEx8+zAzG1W4qkfk+jcYYyq+UPsxZWFXSSaI/Hxl/Nz19GlXn+Z1q0U7HGNMHCvNWHm/FxHrNWmOM2fNDtbvyOGadCt6MMaUTajl4m+KSCdgjYjMAnYW3EQHhS06EzfGZ2ZRo2olLuhifZeMMWUTalXeYGAYkAd0p2Cznk3BnoD2HzrC/xZu5LJTm5JaxYoyjTFlU5qRHz4ChqjqrvCHY+LR/xZu5MDhPGvGM8aERaj3mOoDL0UrKYlIVRF5QUS2ich+EfmviBT5bSgit4vItyKyQ0R2iciXItI3yHb3iMhqETkoIpki0i9yn6Ri+SAzi7YNqtO9Zd1oh2KMqQBCTUwzgBMjEUgJjQKuAq4H+gG1gEkiUlT70dnAOOA84HRgGTBFRDr4NhCRa4HnccUd3YCZwGci0jL8H6FiWbt9P3NW7+CqHs0Rsb5LxpiyC7Up737gfRHZCUymYPEDqpofjsACiUhtYAhwq6p+7i27GTf9xvnAlGD7qeqNAce5GxgIXACs8BY/BLyuqv/yXt8nIhcAd+PuqZlCfJiZRZLAld2t75IxJjxCvWJaApwMvAFsAXIDHpHs49QDqAxM9S1Q1fVeTH1COE4V3Bh/OwFEpIp37KkB200t7LgicoeIZIhIxtatW0N464olP1/5cG42fTs0pEnt1GiHY4ypIEK9YnqS6FXeNcZVA24LWL7ZW1dSI4B9HJs7qgFufL/NQY57frADqOqrwKsA6enpCVuJ+P3P28nelcPvL+wU7VCMMRVIqP2Yhoc7ABEZATxazGbnFHUISpgsReR+4E7gfFXdE7A68BglPm6i+iBjPTVTKvGLzo2iHYoxpgKJhQlzRgFvFbPNOqAX7sqmAeDffpYGfFPcm3hJaQRwoarO8Vu1DXclFnjVlUbBqyjj2XMwl8k/beKq7s1JqWx9l4wx4RP1xKSq2yjYPFeAiGTi7mP1B97xljXHVQnOLGbfh3DNkBep6oyA9z/sHbs/8IHfqv6ADVZbiE8XbORgbj7XpLeIdijGmAqm2MQkInlAb1WdIyL5FN28paoakWSnqrtFZAwwUkS2ANuB54AFwBd+8U4D5qjqMO/1UOAp4CZguYj4roxyVHW39/w54E0RmQN8B9yFm0L+lUh8lopgfGYWHdJqcGrz2tEOxRhTwZQkiTyJG1Xc9zya910eBI7g+iWlAtOAW1Q1z2+bdsB6v9e/xlXzjQs41lhgMICqjhOR+sBjQBNgEe7qam0EPkPcW7V1H5lrdzLswk7Wd8kYE3bFJiZV/aPf8+ERjaYYqnoQuM97FLZN66JeF7HfS8BLZQgvYYzPzCI5Sbiim/VdMsaEX6j9mEyCy8tXJszN4qwTGpJWKyXa4RhjKqCQ7weJyCDckEAtcR1V/amqtgtHYCY2fbtiK5v3HGL4pTZgqzEmMkKd9uJx3Ajji4D5wKEIxGRi2PjMLOpUq8y5J6ZFOxRjTAUV6hXTEOB5VX0wEsGY2Lb7QC5TF2/mhtNaUrWS9V0yxkRGaaa9+CQSgZjY998FGzh8JJ+re1gznjEmckJNTF8Dp0YiEBP7xmesp1PjmnRpWivaoRhjKrBQE9MDwK0icouINBCRpMBHBGI0MWD55r38mLWbq23eJWNMhIV6j2m59+9/ClmvpTimiQPjM7OoZH2XjDHlIJ6mvTBRkpuXz4S52ZzbKY36NapGOxxjTAUX9WkvTOz7ZvlWtu07ZEUPxphyYfeETLE+yMiifvUqnNPJ+i4ZYyLPEpMp0o79h5m2dDMDuzWjcrL9uhhjIq/YbxoRyROR07zn+d7rwh5HIh+yKU8fz88mN0+tGc8YU27ibdoLU87GZ2ZxUrNanNjE+i4ZY8pHXE17YcrX4g17+GnDHv54WZdoh2KMSSAlmcH23FAOqKrTSx+OiSUfZK6nSnISl53aNNqhGGMSSEma8r7gWPNdYV3+1VungI3uWQEcPpLPx/M3cH7nNOpWrxLtcIwxCaSk/Zj2Ah96j/2RC8fEiulLt7Bj/2Gu6dEi2qEYYxJMSRLTOcAtwFXANcBHwFhrsqvYxmdmkVazKv06NIh2KMaYBFNsubiqfq2qQ4DGwF1AGjBFRNaJyJ9F5MRIB2nK19a9h/hy2Rau6N6MStZ3yRhTzko8JJGqHgTeAd4RkSbADbgrqd+JyMuqem+EYjTlZOK8bEZOWUb2rhwA6laze0vGmPJX2j+HtwNrvIcCdcMUj4mSifOyGTZh4dGkBPD8FyuYOC87ilEZYxJRSIlJRM4QkVeAjcBYYB9wMXBzBGIz5WjklGXk5OYdtywnN4+RU5ZFKSJjTKIqST+m9rjEcxPQGvgG+C3wgarui2h0ptxs8LtSKslyY4yJlJLcY1oO7AEmALcBa73laSJSYLhpVf05fOGZ8tKkdgobdh8ssLxpndQoRGOMSWQlLX6oBQwGBpVgW+tgG4dOaFSzQGJKrZzM0AEdoxSRMSZRlSQx3RrxKExUjfthHV8t30q/9g34edt+NuzKoWmdVIYO6MhAm0rdGFPOSjKI69jyCKQkRKQq8CxwPZAKTAPuUdWsIva5HVfW3gVX7DEPeFxVZ/htMxx4ImDXzaraOKwfIAbN/nk7j01cRL8ODfjP4J7Wb8kYE3Xx9i00CjcCxfVAP1wT4yQRKar58GxgHHAecDqwDNdBuEPAdsuAJn6Pk8MZeCxav+MAd789lxZ1qzH6+u6WlIwxMaHEHWyjTURqA0OAW1X1c2/ZzbhijPOBKcH2U9UbA45zNzAQuABY4bfqiKpuCn/ksWnvwVyGjP2BvHxlzOCe1K5WOdohGWMMEF9XTD2AysBU3wJVXQ8sAfqEcJwqQAqwM2B5WxHJFpHVIvKeiLQta8CxKi9fuf+9+azaup+Xb+xOmwbVox2SMcYcFU+JqTGQB2wLWL7ZW1dSI3Adg//rt2w2rurwQuB273gzRaR+sAOIyB0ikiEiGVu3bg3hrWPDXyYvZfrSLQy/rAt92tsgrcaY2BL1xCQiI0REi3mcXdQhKOF07yJyP3AncKWq7vEtV9XPVPV9VV2gql8Al+DOTdDyeFV9VVXTVTW9YcOGJfykseH9jPW8+s3P3NK7FTf3ahXtcIwxpoBYuMc0CnirmG3WAb1wfaQaAP6XKWm40SiK5CWlEcCFqjqnqG1VdZ+I/AQEFkjEtTmrd/DoRwvp274B/3dJ52iHY4wxQZU5MYlId6Cl93Kdqs4NZX9V3UbB5rlg75MJ5AL9caOcIyLNgROBmcXs+xDwJHCRf5l4EdunAJ2AL4vbNl6s33GAu97KpEXdarx4g1XgGWNiV6kTk4j0AN7GNaOtwzWptRIRgBtUNTMsEXpUdbeIjAFGisgW3AjnzwELcNO/++KaBsxR1WHe66HAU7ix/paLiO9+VI6q7va2eRb4xPscacDjQHXcQLVxb9+hI9w2NoMjefm8NijdKvCMMTGtLFdMrwL3evdkjhKR/sC/gO5lCawQDwJHcP2SfB1sb1FV/2Gx2wHr/V7/GlfNNy7gWGNxBQ8AzYF3OdZMOAvopapriXN5+cr9785j5dZ9jL31NNo2rBHtkIwxpkhlSUw1ApMSgKp+LiKjy3DcQnmTFd7nPQrbpnVRrwvZ57qyxhar/jp5KdOWbuHJy7vQ16ZJN8bEgbLcaNgiIrf6j7ogIskichsluGdkIu+DjPX885ufualXS27p3Tra4RhjTImUJTENwg0NtENElojIEmAHcC0lG4XcRFDGmh08+tEizmhfnycu7RLtcIwxpsRK3ZTnzbv0CxFpwPFVeXa1FGXrdxzgzjczaVonhRdv6E5lq8AzxsSRMpeLByv3FpE0Vd1S1mOb0O07dITb38jgcF4+rw3qSZ1qVaIdkjHGhCRSf0pnROi4pgj5+coD781nxZZ9vHhDd9qnWQWeMSb+lKUf02VFrE4p7XFN6f11yjK+WLKZ4Zd25swT4muoJGOM8SlLU95HwNe4jrWBapbhuKYUPszM4pWvV3Hj6S0Z1Kd1tMMxxphSK0tiWgEMUdXVgStEZH2Q7U2EZK7dwbAJC+nTrj7DL+uCN/qGMcbEpbLcYxqLGykhmFfKcFwTgqydxyrwXrrRKvCMMfGvLOXify5i3VOlPa4puf3eGHiHjuTz3h1WgWeMqRhC+vNaRB4QkTNFxO4hRVl+vvLAuPks37zXKvCMMRVKqFdMz+AGRFURWQVkAnN9//pG6zaRN3LqMj5fvJknrALPGFPBhJqYOgOf44YeWokb8eFSoBouWf2IG3X8X6qaH85AzTET5mbx8leruP60lgy2CjxjTAUT6p3yV4CPVLWnql6vqn2BVsALwE7chH1PAVNExCb9iYDMtTv5w4cL6dW2Hk9ebhV4xpiKJ9TE1Bf4n/8CVd2hqg8AE3BXUulAF+C34QjQHJO9K4c738ygSZ0UXr6xh1XgGWMqpFC/2bYA3QpZNw43ad8a4O/AjWWIywQ4WoGXm8+YQenUrW4VeMaYiinUxPQG8JiIBEtOzTjWrykTN5OsCYP8fOXBcfNZtmkPL9zQjfZpVhRpjKm4Qi1++BNwCjBLRMbhmvU2AR2BJzg2eGtVIDdcQSa6v32+jKmLN/P4JZ05u2NatMMxxpiICikxqWouMFBE7gCGAjcBihsv7yfgTm/TXsCqMMaZsCbOy+bFL1dxXc8W/OqM1tEOxxhjIq5UIz+o6qvAqyLSFmgCbAVWqKp6m3yGG+DVlMG8dTv53YcLOL1NPZ68/CSrwDPGJISyTHtRxZvF9ufAdao6q0xRGTbsyuH2NzJpXCuFl2/qQZVKVoFnjEkMoQ5JVElEnhKRrUCOiGwTkfdEpE+E4ktIBw77KvDyGDMonXpWgWeMSSCh/hn+KPAQ8CHwe+BtXJ+lb0XkD2GOLSHl5ysPjfuRpZv28I8butGhkVXgGWMSS6hNebcAj6jq3/0XisivgJdEZImqfhy26BLQ379YzuSfNvHYxSdyjlXgGWMSUKhXTE1wg7YeR1X/DYzCRnsok4/nZ/PC9JVcm96CIX3bRDscY4yJilAT0wqgayHrJgOnlimaBDZv3U6Gjl/AaW3q8aeBVoFnjElcoSamMcD/iUjXIOuaA/vKHFEC2rArhzvezKRRraq8YhV4xpgEF+o9pheAs4DZ3sgPn+FGfmiPG/lhcnjDq/gOHD7C7W9kkHM4j7dvO90q8IwxCS/UkR9URK4BHgTux4384DMVeDiMsRUgIlWBZ4HrgVRgGnCPqmYVsc81uArC9rhJDlcAf1fVsQHb3YMbzaIJbhSLB1T120h8jonzshk5ZRnZu3JIqZzkBmYdnM4JVoFnjDHFN+WJyPkiUs/3WlXzVfVvqtoSOBHoB7RU1QtUdWcEYwVXYHEVLjH1A2oBk0QkuYh9tgMjcMMknQL8BxgjIhf5NhCRa4Hngadxo6fPBD4TkZbh/gAT52UzbMJCsnflAHAwN5/kJGFPzpFwv5UxxsQlOTaKUCEbiOTjxsNby7Fp1H1TqW+LeITH4qiNG/roVlV921vWwovrQlWdEsKx5gJTVHWY93o2sEBVb/fbZgUw3rdNYdLT0zUjI6OoTY5zxjPTjyYlf83qpPLdH84t8XGMMSaeiUimqqYHW1eSprwuQHegh/f4A1ATN5V6Fl6S4liy2hyWqAvqgWuKm+pboKrrRWQJ0AcoNjGJK3U7Fzca+qPesiresZ8N2Hyqd9xgx7kDuAOgZcvQLqo2BElKRS03xphEU2xiUtUlwBLcKA8AiMgJuC9zX8J6GKiNu7IqqlmtLBoDeUDgVdpmb12hvKutbNx0HHnAr1X1M291A1zMgQl1M3B+sOP5BrEFd8VU8o8ATeukBr1ialonNZTDGGNMhVWqumRVXa6q76rqUFU9V1XrAifg7v2ERERGiIgW8zi7qEPgEmJR9uL6X/XEXSk9JyLnBX6sUhw3ZEMHdCS18vG5O7VyMkMHdAz3WxljTFwq9ejigVR1JbCyFLuOAt4qZpt1uOKFZNwVzla/dWnAN8XElu8X23wRORF4BFfVtw13FRV41ZVGwauoMhvYrRkAI6csY8OuHJrWSWXogI5HlxtjTKILW2IqLa+AotgiChHJxM2K2x94x1vWHFcZODPEt03CNeuhqoe9Y/cHPvDbpj9usNqwG9itmSUiY4wpRNQTU0mp6m4RGQOMFJEtuDLw54AFwBe+7URkGjDHr+LuUWA2bt6oqsBFwM3AfX6Hfw54U0TmAN8BdwFNgVci/bmMMcYcL24Sk+dB4AgwjmMdbG9R1Ty/bdoB6/1e1wBexg2ZlAMs9fZ517eBqo4TkfrAY7gOtouAi1R1bQQ/izHGmCCK7cdkihZqPyZjjDFF92Oy0UKNMcbEFEtMxhhjYoo15ZWRiGzFDYtUGg0oQUWiOcrOV2jsfIXOzlloynK+Wqlqw2ArLDFFkYhkFNbGagqy8xUaO1+hs3MWmkidL2vKM8YYE1MsMRljjIkplpii69VoBxBn7HyFxs5X6OychSYi58vuMRljjIkpdsVkjDEmplhiMsYYE1MsMRljjIkplpjCSER+LSILRGSP9/heRC72Wy8iMlxENohIjoh8JSJdAo5RVUReEJFtIrJfRP7rTe9R4YnII97EkKP9ltk583jnIXASzU1+6+1cBRCRJiIyVkS2ishBEVksImf5rbdz5hGRNYVM1Pqpt77czpUlpvDKAn6Pm3I+HZgOTBSRU7z1v8NNQ38fbjbdLcDnIlLT7xijgKtwswH3A2oBk0QkUlPWxwQR6QXcjpvGxJ+ds+Mtw42A73uc7LfOzpUfEamDm8ZGgItxc7fdhzsvPnbOjunJ8b9b3XGzeL/vrS+/c6Wq9ojgA9gB3In7z7EReNRvXSpu2vc7vde1gcPAjX7btADygQHR/iwRPEe1gVXAucBXwGhvuZ2z48/TcGBRIevsXBU8J08D3xWx3s5Z0efvUWAXUK28z5VdMUWIiCSLyHW4+aBmAm1w07dP9W2jqjm4aeH7eIt6AJUDtlkPLPHbpiJ6FRivqtMDlts5K6itiGSLyGoReU9E2nrL7VwVNBCYLSLjRGSLiMwXkXtFRLz1ds4K4Z2jIcBbqnqAcj5XlpjCTEROFpF9wCHcDLhXqOpC3A8VYHPALpv91jUG8ig4KKL/NhWKiNwOtAceD7LaztnxZgODgQtxzZ6NgZniJrm0c1VQW+Ae3OzVA4DngWeAX3vr7ZwVrj8uGb3mvS7XcxVvM9jGg2VAV6AOrq11rIic7bc+sEezBFkWqCTbxB0R6YhrbumnqoeL2NTOGaCqn/m/FpFZuC/dQcAs32YBuyXkufIkARmqOsx7PU9EOuAS02i/7eycFXQ78IOqzg9YXi7nyq6YwkxVD6vqSlX1/YeYj5sS3lc9FfiXQxrH/grZBCTjhpIvbJuKpDfusy4SkSMicgQ4C7jHe77d287OWRCqug/4CeiA/X4FsxFYHLBsCdDSe27nLAgRSQMuB/7lt7hcz5UlpshLAqoCq3E/uP6+FSKSgqtcmektygRyA7Zpjqsm8m1TkUzEVZV19XtkAO95z5dj56xQ3rnohPsCtt+vgr4DOgYsO4Fj86fZOQtuMO5WxHt+y8r3XEW78qMiPXDt1/2A1rgv3D/jKlIu9Nb/HtgDXAmc5P3gNwA1/Y7xMpANnA90A77EXXUlR/vzldM5/AqvKs/OWYFz8yzuirINcDowyTs3rexcBT1fPb0vykdx9zGvAXYDv7bfr0LPmeD+IPxXkHXldq6ifiIq0gN4HffX2CFcjf8X+JVJej/04bi/cA8CXwMnBRwjBXgB14x1APgEaBHtz1aO5zAwMdk5O/Y5fV8Eh73//B8Cne1cFXnOLgZ+9M7HcuA3eINX2zkLer7Owd0POi3IunI7Vza6uDHGmJhi95iMMcbEFEtMxhhjYoolJmOMMTHFEpMxxpiYYonJGGNMTLHEZIwxJqZYYjImhhQyUVvgY00R+7/ut91Xfstbe8tuC9i+gYjME5EdItLTW/aF3zHeitRnNaYwNoirMbGld8Drj3AdRIf7LTtUzDE2AVfgeukXSkQaAdOARsC5emzAzvtwc+t8VKKIjQkzS0zGxBBVneX/WkQOAdsClxfjUHHbi0gzXFKqDZylqkcHO1XVJX7vbUy5s8RkTIIRkZbAdNzgwmep6vIoh2TMcSwxGZNY2uJmHVXgTFVdHeV4jCnAEpMxiWUYbpbRLpaUTKyyqjxjEstk3CjRz4tI1WgHY0wwlpiMSSwfAr8CfgF8ICKVoxyPMQVYYjImwajqWOAu4FLgHRFJjnJIxhzHEpMxCUhVXwXuB64G3hAR+y4wMcOKH4xJUKr6D+8+01+BQyIyRG3mUBMDLDEZk8BUdaSXnP6Emy77niiHZIwlJmNimaq2Ls1+IlLJ7a553nHW4Krxgr3HCGCE375JWDO/iSL75TOm4mkF5OKGHCqNqd7+rcIWkTEhEGtSNqbiEJHWQAPv5V5VXVaKY5wA1PJebreOuKa8WWIyxhgTU6wpzxhjTEyxxGSMMSamWGIyxhgTUywxGWOMiSmWmIwxxsSU/wdRj+X9KyAuVgAAAABJRU5ErkJggg==\n", 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "test = all_fim.extract_criteria()\n", "\n", @@ -3855,66 +1373,10 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "id": "c9fe2868", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2D heatmap is plotted with ['CA0', 'T'] .\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", 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GTjWzadXkdred2YvwyIhDgLVwZXEr8HUzm5tpdzwe4P9yXFNOBIaU8DB4vvDBzCZJOhBfHD8VeJplPQyCIOjB9OYZhaSHcHP6xfgz9EGzZXM5pS0G+wIHA49JOtTMLq8ku+2Kwsx2y/w+H/hijj5N8TAIgqDnEovZ/B74VXo+lsXMXsf3sV0q6WNU9hYFuoGiCIIgaASFxezeipmNqaPPQ8BD1dqFogiCoGPo5TOKphGKIgiCjiAWs5eQthoMpLTX0x1m9kwt8kJRBEHQMfT2GYWkD+Hx6w4G1gTeA15nidfTyoCljcwXABeb2XvV5IaiyMV7eOiWZlEcjaTRvNBk+eCb55vJU02WP7XJ8p9usnxo+j2a92pz5XeR3j6jSOkaDgceBE4D7gAeMrOFmTYfwGcZ++DbCn4saVg1789QFEEQdATh9cRGwE5m9mC5Bmb2CvAX4C+SjgWOBD6GZ9IrSyiKIAg6gvB6sv1qbL8A+GWetqEogiDoGHr5jKJphKIIgqAj6O2mJ0mb1dK+Fs+nUBRBEHQMvXkxG/dmqCUlQm69GooiCIKOoLfPKBJz8aCq/6A2pVGRUBRBEHQMvXxG8S08MuxQYDfgD/g+iS77Zvfy+xoEQacgYMWcRydiZuPM7PN4eoYLga8BT0q6S9IRktaqV3ZLFYWkkZKs6JiRqR9Xov6eIhkrSTpX0mxJb0q6NiUuqnbu/SU9LmlB+jm4GdcYBEF7KGy4y3N0Mmb2gpn9zMy2wcN4/BMYDbws6Sf1yGzHPZsKrJ85tiuqv7mofu+i+jHA/sBBwK7AGsB1ksqaJyUNxHNXXApsn35eIWmnrl1KEATdieVzHr0FM7sPGIenV3gfvrmuZtqxRrHQzGZUqF9Qrj4l3DgMONTMbkplh+DxI/YAJpSReRxwq5mNTp9HS9o9lR9U8xUEQdDtiMXsJUj6IB7v6RBgKzwV9DH4C3PNtGNGsZmkFyVNk3RZCd/fXSTNlPSkpN9I6pup2xHXijcWCszseeAJ4FMVzjkw2ycxoUqfIAh6GL3Z9CRpdUmHSroFmI7HfRoPfNjMdjGzX6d01DXT6hnFvcAwYAqesu8kYJKkbc1sDvB34CpgGr4gMwq4RdKOabt5PzxdanEUvVeonKWpX2qTu4+kI4AjADbe+IM5Li0IgnbS20N4ADOAd/Fn6GlkXGQlLaMf80SNLdBSRWFmN2Q/p4XqZ3B3rrPM7LJM9SMpFO6zeKTDqyqIFtV9hovrK/Yxs7HAWIABA3ZomD9yEATNIUxPrJKOoemohFHD87+t+yjMbJ6kx4AtytS/JOmFTP0M/G+hDzAr07QvHlK3HDNYdvbQl2VnGUEQ9FBCUXBqswS3VVFIWhlfaLm1TH0fYEPg5VT0AD61GgT8MbXZCNgamFThVHenPmdkygZV6RMEQQ+jU9cf8mBmnaEoJJ0J/BV4Dn+jPxlYFbhI0mrASHz7+cv4GsXPgZnA1QBm9rqkC4EzJM0E5uDJNx7G3WoL55kI3Gdmw1PROcAdkoYnWYOB3YFdmni5QRC0kJhRNI9Wzyg2Av7EEtPRPcDOZvaspFXwPRVDgLVwZXEr8HUzm5uRcTywEHfzWgWYCAwxs0WZNpsDzxc+mNkkSQfii+On4unGDqiW1SkIgp5Fb1YUkj5XS3szuyVv21YvZh9YoW4+8MUcMt4Gjk1HuTb9S5SNx13FgiDoQNrp9SRpJeBMfF9W4QX2aDMrm4dY0rb4i+sOwKbAqWY2skS7o4Ef4RuQHwOOM7N/lBB5M75IrQpDLdQbET02CILeRptzZo8BvowrioJJ/Lrk2r+oTJ/34/sdrsKtHcsg6QDcdH40cGf6eYOkbczsuaLmu3fxGsoSiiIIgo6hHaaneiNGmNn9wP2p/YllxH8fGGdmv0mfj5W0J3AUMDzb0Mxu7+KllKU3OwkEQdBBFBaz2xDrqd6IERWRtGKSXRxV4sZSciVtJqkp1rdQFEEQdAw1hPDoI2ly5jiiC6etN2JENfrgei1vVIl/Ax8vfJBzsaRNujAGIExPOVmAmxKbRbOdr65vsnxg4dXNlV9yp00Dye3/USc3V2/SVf4zubnym/0VdJUa3WNnm9mAivKkUcCIKnIqrQvkiRiRh7xRJYoXsZcDvomvnzzblQGEogiCoCNogtfTGDxLXCWeA3amvogR1ZiNz1TaHlUiFEUQBB1BozfcmdlsljUnLXtej0lXT8SIaud/J8keBFyRqRqEb0xuGaEogiDoGNqx6FpvxIi0WL1Nql4Z6Cdpe2CemT2Vys8CLpF0H3AX8G1gA+BXZYazXCZS7PIlyrLj7p7RY4MgCJpFm0N41BwxAn/g/6uo/kjgdmA3ADO7XNK6eEqG9YFHgb3NrNyaw10lykotgvac6LFBEASNpF2Kop6IEWY2ncq7qAvtLgAuyDGMzggKGARB0Cx6e+KijokeGwRB0CwiemzziA13QRB0DL08Z/bgOvqsL2nnau1afs/SwC6SNEvS25Iel/TZTP04SVZ03FMkYyVJ50qaLelNSdcmd7Rq594/nW9B+lnzjQ2CoHvSxhAe3YXzJT0k6duS1qnUUNKuksYCTwEfrSa41YmL1sJX5e/E82DPAjbDkxNluRk4JPP5naL6MdQYqVHSQNwj4RQ8WuNXgCskfTryUgRBZ9Cps4WcfAj4IXAacK6kJ4CH8OfsAmBt/Hk7AFgT3ww4yMyq7vVo9RrFCcDLZjYkUzatRLsFZjajlIB6IzUCxwG3mtno9Hm0pN1T+UE1XkcQBN2M3r5GYWZvAadJ+jn+IvxFfNf4Bvg+jTnAFDxs+eVmNiWv7FYriv2Av0u6HI+R8hLwW+B8M8vGLtklbVx5DfcpHmFmhVlHyUiNSXt+ivKKYiBwblHZBOA7XbmgIAi6B73d66mAmb2LW08ub5TMVs/UNsMTbzyDa7tzgNOBYzJt/o6nQ/088APgk8AtKYMU1B+psR/5ozAi6YhCZMlZs/5T5bKCIOgO9PI1iqbR6hnFcsDkwhZ24F+StsAVxXkAZnZZpv0jKdbJs/iaxlUVZOeJ1Jg3CiNmNhYYCzBgwLaNiAAZBEET6e2mpyySNq5Q/R7wupnNzSuv1YriZeDxorIngO+V62BmL0l6AdgiFc2gvkiNM+gGURiDIGgevXwxO8t0qrw4S3oG+EUme15ZWn1f7wK2LCr7MBVipUvqA2yIKxmAbKTGQps8kRrvzvZJDKrSJwiCHkK4xy7Ft/G4Uo8AI/HUqafisaKex9OoTgV+JWlYNWGtnlGcDUySNAJfaPk48F3gRABJq+EXdSWuGPoDP8fdZ6+G+iM14ushd0ganmQNxhfUd2ne5QZB0EpiRrGYD+Nm/q8WlZ8m6Uqgn5ntK+kS3KIzrpKwlt7XlEx8P+DruGYbDZzMkoBXi4DtgL8ATwIX4VpvYJE97Xh8veJyfJYyD/hSiUiN62fOPQk4EBiKK5UhwAGxhyIIOoPlgBVzHr2Ab+IepaX4LXBw+v0KlrXyLEPLYz2Z2fWUyc1pZvNxb6hqMmqO1JjKxgPj8441CIKeRcwoFrM6sF6ZuvWA1dLvb+Av6BWJ+xoEQUcQaxRLcTvwM0k7ZgslDcAtOYUU6Fvg6VwrEtFjgyDoGHqJEsjDMfia7X2SnsPXefsCG+PRMArWmNWA86sJC0URBEFHIMJEUsDMpknaCjgU2Ikl2fHuAcal3duY2dl55IWiCIKgI4gQHkuTlMHijcNdIRRFEAQdQ5iemkMoily8h3vgNosXmigb4LEmy8cntc3kH02Wf3VzxT8wtbnyAf7UZPkNizDXJHp7CI+003qwmT0kaRqVd2abmW2eV3YoiiAIOoZevkZxO+7uWvi9YTHqQlEEQdAR9PYZhZkdmvl9WCNlh6IIgqAj6O2Kopn08plaEASdQsHrKc/RG5D0cUlXSZotaaGkHVL5zyTtWYusUBRBEHQMy+U8Oh1Ju+ARs7cC/sjSl/0eHl02N73hngVB0AuIEB5LcTqe6nlb4PtFdf8EdqhFWKxRBEHQMfQSJZCHHYCvmJlJKvZ+mk35gIElaemMQtIxkh6W9EY67pa0T6ZekkZKeknSfEm3Sdq2SMZKks5Ndrc3JV2bEhdVO/f+kh6XtCD9HNyMawyCoI2E7anA28D7y9StD7xei7BW37IXgB/j2m4AcAtwjaSPpvoTgB/gAas+gQeyuknS6hkZY4D9gYOAXYE1gOsklX2ZkDQQ3y90KbB9+nmFpJ0adWFBELSZsD1luRM4rui5WJhZHIY/e3PT6sRFfzGzG8zsKTN70sxGAHOBgZIEHAecbmZXmtmjeJKh1YFvAEhaE7/IH5nZTWb2T+AQ4KPAHhVOfRxwq5mNNrMnzGw0cFsqD4KgE2ij21M9lg5J20oaL+kZSSZpZIk2I1Nd9piRY0gn4y/kD6XfDRgq6VZgZzwtam7aNgmTtLykA/Ewt5OATYF+wI2FNimR0R3Ap1LRjvjXnG3zPPBEpk0pBmb7JCZU6RMEQU+jfTOKMdRo6cBNQ9OBk/DQ3+WYipuLCsd21QZjZg8BnwFeAUbgavQ7qfqzZlZTUJmWL2ZL2g5321oZD6A02MwekVR4aL9S1OUVYMP0ez88G9PsEm36VThtvzJyK/UJgqAn0aYddxlLx6FmdlMqOwR4Frd0TCjVL6WGvj+1P7HCKRaaWZ5ZRLH8fwKfl7QysA7wmpm9VascaM+MYiq+TrAz8H/ARZI+kqkvXqFXibJi8rSpSa6kIyRNljR51qzXqogOgqBb0J7F7HotHXnZTNKLkqZJukzSZrV0NrO3zeylepUEtEFRmNk7aY1ispkNBx4EjgcKGrP4Lb8vS2YDM/B3hj4V2pRiRhW5pcY51swGmNmA9dZbq4LoIAi6BbUtZvcpvAim44gunLleS0ce7gWGAXsBhyd5kySt20W5NdEdHMWWA1bCbXQzgEGFijRl2hVfwwB4AHi3qM1GwNaZNqW4O9snMahKnyAIehK1LWbPLrwIpmOZ5D6SRpVYSC4+dqsyoi5FcE3OP382s4fN7GZgX/yZObQrcmulpWsUkk4HrgeeZ4k3027APmljyBhghKQpwJP4Is88fAs6Zva6pAuBMyTNBOYAZwEP4/lhC+eZCNyXZiwA5wB3SBqOZx4YDOwO7NLUCw6CoLU0do1iDPCHKm2ew83oBUvHrExdX9wZp2GY2TxJjwFbNFJuNVq9mN0Pv/H98A0fDwN7mVlhsecXwCp4su+18WnXF8xsbkbG8cBCfF/EKsBEYIiZLcq02RxXRgCY2aTkYTUKdwt7GjjAzO5t+BUGQdAeGpw028xms6w5adnTSllLxx9TWR5LR80kK8tWwK2NlFuNliqKajHSzcyAkeko1+ZtfEPesRXa9C9RNh4Yn2ugQRD0TNrg9VSvpUPSisA2qXploJ+k7YF5ZvZUanMm8Fd85tIX3xOxKnBRCy5tMRHrKQiCzqC9CSlqtnQAGwD/Kqo/Es9Ot1sq2wjPclswa90D7GxmzxYPQNKQWgZsZhfnbVtWUUjKLaSIk0tdRBAEQdNpk3tOPZYOM5uOq7dKcg+sYRjjamhrQNcVBfBN3AtpQQ0n3xhfAApFEQRBayl4PfVeNm2W4Gqmp/3M7L48giStALzT9SEFQRDUQS/PhdpMS04lRTGR2kLRLkp93ujSiIIgCOqhlyuKZlJWUZhZ8Qa1iiSPpZr69BxEc9f9w6egKu81Wf6i6k26wtvNFQ94GOZm8mqT5TeE7rCFuJsg6Yt4ytMtca+qpTCz3KFAyt5WSTvWMKDz8rYNgiBoCpGPYjGS9gb+hkeo3QqYgrvYfhB/7bq9FnmV9O+EFOm12oAuBI6q5aRBEAQNp435KLohJ+Mbl/dOn08ys93wHNrLAzfUIqySongeuFnSlqUqU9rSS4BDgZ/UctIgCIKmEDOKAlvhG/Xew11hVwAwsyfxDc0n1yKskqLYA9/gMVHS5tmKlIzjMuBg4ISUMS4IgqB9FEJ4RM5scAWxMK0dz8K3LhR4Cd/cl5uyt8zM5gCfw4PyTZS0MYCk9wFXAl8DvmdmZ9Y0/CAIgmYRM4oCU4H+6ffJeP7s9SWtB/wAz6yXm4ruNmY2U9Ln8YWPWyTtBfwS+AJwpJn9praxB0EQNIlwj81yKR6UEOAUPObUC+nzIjxyd26q+mWa2YuSdsfD5T6Gfx3DzOySWk4UBEHQdHqHWakqZnZ+5vcHkmPSXngcqpvN7PFa5FVyj/1W4WBJ+NwV8HR/78vWpzY1I+nElPzjvEyZJI2U9JKk+ZJuk7RtUb+VJJ0rabakNyVdm8L6Vjvf/pIel7Qg/Rxcz7iDIOiGCFgx59HLMLMXzOw3ZvbLWpUEVJ5R/LZM+V7pWGocwO9qObGknfHUfg8XVZ2A29CG4Xa2nwA3Sdoyk5diDPBl4CCWhPS9TtKORdEas+cbiEd2PAW4CvgKcIWkT0deiiDoABqcj6ITkCRgfUpvuHsmr5xKiqJpAaYkrYnb0A4j41qbLuo44HQzuzKVDQVm4ja1X6e+hwGHmtlNqc0heCDCPYAJlOY44NaMh9boZFI7Dlc4QRD0ZGKNYjEpp/b5eDbPcs/53HerUgiPZkaAHQuMN7NbJGX3YGyKZ7+7MTOO+ZLuAD4F/BrYEd8yk23zvKQnUptyimIgcG5R2QTgO128liAIugsxoyhwIZ7u+Tx8V3aXAra2PMiQpMOBDwGHlKjul36+UlT+CrBhps0ilk1R+Eqmfyn6lZFbqU8QBD2FmFFk2R3fvjCuEcIqLWbfImmrvIIkLZf6lE36nXZ5/ww42MwqaTgr7lqibBnxOdrklivpCEmTJU2eNes/VcQGQdAtiH0UBV5l2Rfjuqk0UdsNWL0GWcrRZyCe0u9RSQslLQQ+Cxydfp+T2hW/5fdlyUXPwL/qPhXalGJGFblLYWZjzWyAmQ1Yb721K4gNgqBbELGespwLfDut+3aZaqanayTVkuGu2hv9NfguwSy/B/6NzzSexB/og4D7ASStDOwK/Ci1fwB4lyUuuyTX2K2BSRXOfXfqc0ambFCVPkEQ9BTC9LQYMztL0gbA45JuBorNImZmp+SVV0lRXFTPAFl27WAxZvYa8Fq2TNKbwKtm9mj6PAYYIWkKrjhOwsOI/DHJeD1FrD1D0kyWuMc+jO8+LMidCNxnZsNT0TnAHZKGA1fj3gC7A7vUeZ1BEHQ3YjEbWBxm/BhgJTwfRTGGbxXIRSWvp0NrHl1j+AW+e/B8YG3gXuALmT0UAMcDC/F9EavgmfWGFO2h2ByPgAuAmU2SdCAwCjgVeBo4IPZQBEGHEDOKLGfhVpljgClm9m5XhLU9tVqKkZ79bHgY3JEV+rwNHJuOcm36lygbD4yva6BBEHR/YkZRYGPgu2b2SCOEtV1RBEEQNIRCCI8A4F/ABo0SFvo3CILOIPJRZPku8ENJn26EsJhRBEHQOcQaRYFrgDVwB543KXIiwq38m+QVFooiCILOIBazs0yk+naF3JRVFJKeAQab2UONOlkQBEFT6R1mpaqY2bBGyqs0o+iP++AGQHMnX2s1UTYsCZPVRD7wZHPl554k10nZwDONYbunmisfYIcmy685iUGN3NlVATGjaBphegqCoDMohPDopUgaAlxvZnPS7xUxs4vzyq6mKBpm4wqCIGgqbZxRSFoJOBPPbVPYBHy0mb1Qoc/hwBBgW9xo9i/gZDO7s6jd0XgIo/XxdNTHmdk/SogcB+yMR6sYV2XIBjRMUZwqqWxIjuxJzWxo3pMGQRA0hfatUYyhxqybeBDVy4G7gLfwiBMTJG1vZv8GkHQAHn7oaNw6dzRwg6RtzOy5InmbAi9nfm8Y1RTF9kCeoIAx8wiCoL20aUZRb9ZNMzu4SM5RwH7AnnigVIDvA+PM7Dfp87GS9gSOAoZn+2eTzTU68Vw1RbGfmd3XyBMGQRA0jfaYnurNulnMinhu6/8ASFoxyT6zqN2NSW7LCGeyIAg6g9p2ZvcpJCZLxxFdOHO9WTeLGYVHyr42fe6Dq76aM3NKWlHSKZKmSHpL0qKiY2EN4wqvpyAIOoTavJ5mm9mAiuKkUcCIKnJ2rzKiXGZ5Sd8DjgT2MLM3iqrryfh5Bh459gbgKvItIZQlFEUQBJ1DY01PY4A/VGnzHO5pVMi6OStT1xe4o9pJkpIYBexVZOqfjc9UcmfmzPBV4BQzG13t/Hkoa3oys+UavT4haaQkKzpmZOqV2rwkab6k2yRtWyRjJUnnSpot6U1J16YMd9XOvb+kxyUtSD8HN/LagiBoM4XF7AblzDaz2WY2pcrxFktn3fSh5Mu6iaTvA6OBfYrdYs3snSR7UFG3PJk5V8OzejaEdqxRTMX9gQvHdpm6E4Af4HkmPgHMBG6SlM3DPQbYH3dD2xUPfHWdpLJfv6SBuBvapbgn16XAFZJ2asgVBUHQPWhD9Fgzex0oZN3cQ9LHgUsokXVT0s8zn38EnA58C3hSUr90rJkRfxYwTNJ/S9pa0jl4+PBfVRnWX4HPNOL6oD2mp4VmNqO4MCUBPw443cyuTGVDcWXxDeDX9bqhJbm3ZqZhoyXtnsoPasxlBUHQVtobwqPmrJv4GsL7Up8sFwHDAMzscknr4imh1wceBfbO4f56LnCxpPeAvwGvFjcws2dyXRntURSbSXoReAdPc3piGvCmuC0u62I2X9IduCvYr6nfDW0gfuOyTAC+05ArCoKg/bQxhEc9WTdLZeEs0+8C4IIah1QwO42kfG7s3Gq11YriXlxTTsEXZE4CJqV1iMKCTSlXsEJUu3rd0PqVkVu2T3KXOwJg443XryA6CIJuQQQFzPItWhFmvBmY2Q3Zz5LuAZ4BhgL3FJoVdcvjCpanTU1yzWwsMBZgwIBtYud5EPQEYmcYAGY2rpHy2npbzWweHuRqC6CwblHJFWwGS9zQyrUpxYwqcoMg6Ok02OspWEJb91FIWhnYCrgVmIY/0AcB92fqd8UjJ8LSbmh/TG3yuKHdnfqckSnL42IWBEFPohcrAUm/A35qZtPS75UwMzssr+yWKgpJZ+JuW8/hb/QnA6sCF5mZSRoDjJA0BXgSX8OYR1IKZva6pIIb2kyWRGlcxg0NuM/MCkGzzsFzxw4HrgYG4zsqd2nuFQdB0DIKITx6L7vjzzqAz1HZHF+TOb3VM4qNgD+xZAfjPcDOGVevX+CuZecDa+OL318ws7kZGTW7oZnZJEkH4rsfTwWeBg4ws3sbfoVBELSHXp64yMw2zfzev5GyW72YfWCVesPduUZWaFOzG1oqGw+MzzfSIAh6JL3Y9NRMItZTEASdQbjHLoOkDwIfxMOXL4WZ3ZJXTiiKIAg6h969RrEYSZvhoYo+WShKP40lWwO67Ya7IAiC5hAziiy/BTbGwxRNwSNh1E0oiiAIOodQFAU+AQwrxM3rKqEocrE8HrW3WRTvH2w0/ZssH1h/jebK3644l0uDeam54teY01z5AF9uctLiRdWbdIk7qzepTC/3eiriBbo4i8gSFr0gCDqD2lKhdjo/A34sadVGCIsZRRAEnUOYngAws0skbQVMTzH1/rNsExuaV14oiiAIOoNYzF6MpGHAcNxiuAPLmqG69c7sIAiC5tE7zEp5OBUPV3SYmb3WVWGhKIIg6AyWA1Zs9yC6DesCFzRCSUDo3yAIOolYzC5wJx5VuyHEjCIIgs4g1iiyfA/4s6T/AH9n2cVszOy9vMJCUQRB0Dn0jtlCHp5IPy8uU2/U8PxvuaKQtD5wOrA3sDqeCvUoM7s91QtPBn4ES0KNH2Nmj2VkrAScCRzEklDjR5vZC1XOvT/wUzwM+dPACDO7uqEXGARBe4gZRZbT6Kk5syWtBdyF28/2wXNSbAbMzDQ7AfgBMAyYCvwEuEnSlpm8FGOAL+OKopC86DpJOxblpcieeyCew+IU4CrgK8AVkj4deSmCoEMIRQGAmY1spLxWzyhOAF42syGZsmmFX9Js4jjg9EKMEklDcUXyDeDXktYEDgMONbObUptDgGeBPYAJZc59HHCrmY1On0dL2j2VH9SIiwuCoI1ECI+m0WqL3n7AvZIulzRT0oOSvpMUBMCmQD/gxkIHM5sP3AF8KhXtiP85ZNs8j9vkCm1KMTDbJzGhSp8gCHoKBdNTnqMDkXS8pGXyTlTps4OkPau1a7Wi2Aw4Gl+X+CKe3/V04JhU3y/9fKWo3yuZun74bsPZFdqUol8VuUsh6QhJkyVNnjXr1QpigyDoNvRu99gheMiO0yV9rFwjSWtLOkTSjfgyQNWInq02PS0HTDaz4enzvyRtgSuK8zLtihdhVKKsmDxtcss1s7HAWIABA7Zr2KJQEARNIhazdwAOwdd4T5D0BvAIvha8AHcO2gx35lmAr9luY2bTqwlutW59GXi8qOwJPMEGwIz0s/gtvy9LZgMz8D+H4tjc2TalmFFFbhAEPZ1ePKMw52Iz+xhuaj8bmIsrh4/jXqb/AL4FbGBmh+ZREtD6GcVdwJZFZR/GF6LBF7ZnAIOA+wGSzW1X4EepzQPAu6nNH1ObjfBdiJMqnPvu1OeMTNmgKn2CIOgpRAiPxSRPzoZ5c7ZaUZwNTJI0Ap/2fBz4LnAiuEaUNAYYIWkK8CRwEjCPpBTM7HVJFwJnSJrJEvfYh4GbCyeSNBG4L2PmOge4Q9JwPFjWYGB3YJemXnEQBK2jQ2cL7aalisLM7pe0H55U42TgufTzgkyzX+Cb6M5nyYa7L2T2UAAcDyzElU1hw92Qoj0UmwPPZ849SdKBwCg8suLTwAGxhyIIOgjlXaRobL6+ejYBSzocX4DeFldx/wJONrM7M21G4nu/srxiZmUddyT1BfYCtgHWScWv4mb/G8xsZrm+5Wj5zmwzux64vkK9ASPTUa7N28Cx6SjXpn+JsvHA+NyDDYKgByHyP9Ianth1DDVuAgZ2w1927wLewl+AJ0ja3sz+nWk3NbUtUG5T8XLA6CRnxSTzP/iNWQt4P/BOstoMT8/aXESspyAIOoRaFMWCxp21zk3AZnZwkZyj8L1mewJZRbHQzGZQneH4BuLRwCXFC9WSNsG9okbgi9yjyUlY9IIg6BAKiiLP0VDq3QRczIrAyiwb6XUzSS9KmibpMkmblel/OD5T+GkpbyYze9bMRuFrwofXMK6YUQRB0CkIf87m4fVGnrjeTcDFjMIdd67NlN2Lx72bgrvzn4Q7BG1rZnOK+n8AX+eoxj9T29zEjCIIgg6hphlFn0LkhXQcsYw0aZQkq3LsVmVAudYBJH0POBL4ipm9USg3sxvM7M9m9rCZ3Qzsiz+3h5YQ8wRwYI7THYQrntzEjCIIgg6hljUKZpvZgCptxgB/qNLmOWBnlmwCnpWp64vHqatIUhKjgL3M7L5Kbc1snqTHgC1KVJ8GjJe0ZRr3Y7gZy3Dvp22Bg4HPAl+tNq4soShyUcuUth7WaqJsgE2aLB9g++aK/0jV/7euMbd6ky7xbpPlA/2aHL5i6N3NlX9M9SY5aNxNMLPZLGtOWgZJ9W4CRtL38Qf83lm32ArtVwa2Am4tMd5rJO0D/Bz4LaVDFj0EfMnMbqh2riyhKIIg6BBqmlE0jHo3AUv6Ee559E3gSUmF9Yz5ZvZ6anMm8Fd85tIX33e2KnBRmbFMwF1sN8JnEOvgN+ZV4LG0yF4zoSiCIOgQ2qMoEjVvAsYnUe9LfbJchC9gA2wE/IklZq17gJ3N7FkqkDb6Vcz4WQuhKIIg6BCWo7km4vLUswm41KbgEn3yLE7XhKQ+eNTY3PbcUBRBEHQQ8UjLwWeBP1PDgk7c1SAIOoS2mp46mrirQRB0CL1bUUj6Xc6mNbtB9t67GgRBh9G7FQW+AP46vru7EqvUKrilO7MlTS+zu/H6VC9JIyW9JGm+pNskbVskYyVJ50qaLelNSdcmV7Bq595f0uOSFqSfg5t1nUEQtIPCfqc8R0fyHHCFmX2w0gF8u1bBrQ7h8Qlg/cyxA74p5M+p/gQ83+uxqe1M4CZJq2dkjAH2x7eh74onBr9OKh+IXtJA3AXtUnxn2KXAFZJ2atB1BUHQdtoWFLC7MBmottsccoYVydJSRWFms8xsRuEA9gbewB/awkPknm5mV5rZo3g8k9WBb8BS4Xx/ZGY3mdk/8bC5H8XD+ZbjOOBWMxttZk+Y2WjgtlQeBEFH0OsVxbXk2EmOJzA6rRbBbQsKmBTDYcAfzOwtYFM80mI2VO98PFZKIVRvveF8B2b7JCZU6RMEQY+idysKM7vYzL6Qo90TZnZqLbLbeccG4crht+lzYfv6K0XtXgE2zLSpJ5xvvzJyK6UTPAI4AmDjjTcs1ywIgm5Dr1/MbhrtDDN+OHC/mT1YVF4qkFU1m1qeNjXJNbOxZjbAzAast9465ZoFQdBt6N0zimbSFkWRkn9/GfhNpriQ6q/4Lb8vS2YDM1gSzrdcm1LMqCI3CIIej4CVch6djaT3JC0qcyyUNEfSTZKqmqqgfTOKYXjS2ssyZdPwB/qgQkEKqbsrS0L1ZsP5FtrkCed7d7ZPYlCVPkEQ9ChiRpHhp3gAwlnAOOB/8GCDs/BggZcA6wE3SNq3mrCW37G0iP3fwGVmtjgLgJmZpDHACElTgCfxtH/zSDHe6w3nC5wD3CFpOHA1MBjYHdilmdcaBEEriTWKDG/jL997pYCFAEhaBbgBVxg7ANfjObSvqySsHTOK3fDsTL8pUfcL/MF/Pu4TvD7whaxCwcP5XoXvi7gLVyRfKhHOd/3CBzObhKcIHIorlSHAAWZ2b2MuKQiC7kHMKBLfBs7OKglY7El6NvBtM3sPdyb6aDVhLb9jZnYrrvpL1RkwMh3l+tcczjeVjQfG1zTYIAh6EDGjyNAX30pQihWBddPvsynzPM7STq+nIAiCBhJrFBkmAyMlrZ8tlLQBcEqqBw8Q+FI1Yb3ijgVB0BtoX+Kibsj38Cx70yTdjYdD6otvPn4LT78K8CHSGnAlQlEEQdBBxCMNwMz+KelDeOy8nYDtgJeB/wXOMrM5qd1P8siLuxoEQYcQaxRZkjI4sRGy4q4GQdAhhKIoRtI6uLlpHXzh+l4ze7VWOXFXc9HsP8A1mygboGq6jgawZXPFrzajepuu8LEnmyt/UfUmXabJ5vlVmx3J5vquCghFkUXSKNz0lN2KvkDSmWZ2ci2y4q4GQdAhFBIXBZKOw81OFwJ/YEkYo28CJ0qaZWa/zCsvFEUQBB1CzCgyfBs4x8yOz5RNBW6XNA84GsitKGIfRRAEHYLwmKF5jo6nP+WNeden+tyEogiCoEOIDXcZ5gAfKVO3barPTa+4Y0EQ9AbC9JThauCnkubgAVjflbQC8DU8DepFtQiLuxoEQQcRj7TEcOBjuEL4naRXcRfZ5YE7qXF/RdzVIAg6hAjhUcDM5kr6DLAPntNnHeBV4HbghhSANTctXaOQdIykhyW9kY67Je2TqR8nyYqOe4pkrCTpXEmzJb0p6dqUvKjaufeX9LikBenn4GZcYxAE7SLWKLKYc52Z/djMDk8//1arkoDWL2a/APwYT5gxALgFuEZSNh76zXguicKxd5GMMcD+wEG4plwDuE5SWVcGSQPx/BWXAtunn1dI2qnLVxQEQTehfYqinhdYSV+TNFnSa6nPg5KGlmh3tKRpkt6W9ICkXRt+AVVoqWo1s78UFY2QdBS+xfzhVLbAzEpuw5W0JnAYcKiZ3ZTKDgGeBfYAJpQ59XHArWY2On0eLWn3VH5QfVcTBEH3o22zhTHAl/HnSSHz5nWSdixKqpZlDjAKmIKneN4XuDBthvsbgKQD8AydR+NrC0fj6Uu3MbPnssIkvQfknS2YmeW+WW27q2kG8DVgNZbOXb1LSnP6Gm5PG2FmM1PdjngyjhsLjc3seUlPAJ+ivKIYCJxbVDYB+E4XLyMIgm5De7ye6n2BNbNbiorOSTOKXYG/pbLvA+PMrJAR9FhJewJH4QvWWU4jv6KoiXbkzN4OuBtfdZoHDDazR1L13/E0p9PwDSGjgFuSVl6Ab0FfhAe3yvJKqitHv9Qmdx9JRwBHAGy88YZVrysIgnbTNvfYel9gFyNJwOfwoGkjUtmKSfaZRc1vTHKXwsxG1jf86rTjrk7F1wnWwtcaLpK0m5k9amaXZdo9IukBXCvvgyuQcojqmrS4vmIfMxsLjAUYMOBjTdHSQRA0krZ5PdX7AluYjbyIB+5bBBxjZjek6j64O2upl9w9ujjmmmj5zmwze8fMnjKzyWY2HHgQOL5M25fwBfAtUtEM/Mb1KWral2VvZpZCQKxa+gRB0OPIvZjdJy0kF44jiiVJGlXCC7P42K3CYPK8wM7FX5w/gc8kzpL0+aI2Nb3kNoPu4Ce2HEuHwV2MpD7AhnhmJoAH8EWfQaT0fcmzYGuWXuco5u7U54xM2aAqfYIg6FHUZHqabWYDqrQZg0dercRzwM4seYGdlanrC9xRqbOZvQc8lT4+KGlrfDPcRHyGsohu8JLbUkUh6XQ8INXzwOrAN4DdgH0krQaMBK7EFUN/4Od4rterAczsdUkXAmekBe+Cd8HDuFtt4TwTgfvSjAXca+AOScOTrMHA7sAuzbvaIAhaS2PXKMxsNsuak5Y9q5vI63mBLcXiF2czeyfJHgRckWkzCH9OtoxWzyj64Rq6H/A6/oDfy8wmSFoFz+s6BF+/eBm4Ffi6mc3NyDgeWIjvi1gF17xDilzQNseVEQBmNknSgfji+KnA08ABZnZvMy4yCIJ2UIge21rqfYGVNAK4F3gGVw57A4cAx2bEnwVcIuk+4C48fPgGwK+afV1ZWr2PYliFuvnAF3PIeBu/kcdWaNO/RNl4YHyecQZB0BNpa+Kiml9g8a0B/4enoJyP76cYYmZ/KjQws8slrQuchG9AfhTY28yebeK1LEN3WKMIgiBoAO2LHlvPC2yaWRTvhSjV7wLggi4OsUuEogiCoEOIMOPNIu5qEAQdQiiKZhF3NQiCDiEURbOIuxoEQQcRj7RmoDpCk/c6JM3CQ4nkpQ85/K+7QLPlt+IcIb+z5ddzjk3MbL16Tybp7ywbtaEcs81sz3rP1dsIRdEEJE3Oseuz28pvxTlCfmfLb9U5gtbQ8lhPQRAEQc8iFEUQBEFQkVAUzWFsD5ffinOE/M6W36pzBC0g1iiCIAiCisSMIgiCIKhIKIogCIKgIqEogiAIgoqEoqgRSZ+RdK2kF1MqxGE5+mwn6XZJ81O/n6Rk6sXthku6X9IbkmZJ+qukjzRKfmp7jKSH0znekHS3pH0aKL/ma5DUv0yayWU2RNV6/2uRndrXdH9qlV+i/4mp/XlV2uX+DmqVX+P9H1mi3YxmjD3oPsR+99pZDY8Jf3E6KiJpDeAmPCXiJ4AtgXHAm8D/FjXfDQ8nfD8euOY04GZJ25jZqw2QD56D/MfAv/EXhaHANZJ2NLOHGyC/5mvIsCfwUOZzqfY13f8aZUON96cO+YuRtDNwOJ7gplK7Wr+DmuRnyHsNU/HvucCiMu3qHnvQzTCzOOo8gHnAsCptjgLeAFbJlJ0EvEjyOqvQdzX8n/BLzZCfaf8qcGQz5Oe8hv54svgBTbj/dcmu4f7UO/Y18UyLnwNuA85r5Hdco/zc14CnK360huvs8t9nHO0/wvTUfAYC/zDP4FdgAp7OsH+Vvqvjb7X/aYZ8ScvLU8SuRvncvl0ZP+S7hgJXSZop6S5JX83RvhZqlp3z/tQrfyww3sxuydG2nu+gFvkF8l7DZsmENE3SZZI2a/DYg25GKIrm0w94pajslUxdJc4BHgTubqT8ZDOeByzAc+8ONrNHGiW/iDzXMA/4IfB1PG/wROBySd/MIb8aNcuu8f7UI/9w4EPAyTmvoabvoA75tVzDvcAwYC/crNUPmCRP19nlsQfdk1ijaA3FuxpVpnxJA+ksYBdgF1s6724j5E8FtgfWAvYHLpK0m5k92iD53ijnNZjZbJa2V0+W1Ac4AfhDpXNUo07Zue9PrfIlbQn8DNjVzN6p5VKKRZUqr0d+LddgZjcUne8e4Bl8Leesrow96L7EjKL5zGDZN6e+6WfxmxYAks4GDgI+Z2bPNFq+mb1jZk+Z2WTzvL0P4snhGyIfar6GUtwLbFFHvy7LrvH+1Cp/IB4K+1FJCyUtBD4LHJ0+r1SiTy3fQT3ya72GxZjZPOCxCm3r+vsJuhehKJrP3cCuklbOlA0CXgKmFzeWdA7wDfwBO6XR8suwHFDuAVKz/DquoRTbAy/X2bfRsivdn1rlXwNsl9oUjsnAZen3UrOAWr6DeuSXYnty3KM0pq0qtG3E32fQbtq9mt7TDnxhc/t0vAX8JP2+car/OTAx035N/K3qMuAjwFdwL5AflJB9fqr7HP4WVjhWy7SpW35qfzqwK76QuF2S9x6wV4Pk13MNQ3HFsjXuPvlD/IF2fAPuf27Zdd6fmuSXOedtZLySuvod1CG/lvt/Jj5D2RTYCbgujWWTZow9ju5xtH0APe3A/cetxDEu1Y8Dphf12Q73I38bf/M6hRKugWXkGjAy06Zu+Zn+z+ILtTOBm4EvNlB+zdeQHlSP4771b+BvwN9sxP2vRXY996dW+WXOeRtLP8i79B3UKr/G+38ZPht4B3dxvRLYplljj6N7HBE9NgiCIKhIrFEEQRAEFQlFEQRBEFQkFEUQBEFQkVAUQRAEQUVCUQRBEAQVCUURBEEQVCQURRAEQVCRUBRBy5E0UNKfJb0k6R1JcyTdJGmopOWbdM5xmYxst2XKh2XKP1yi326Z+j0y5Sdlyl9oxpiDoLsQiiJoKZKOA+4C1sEzye0BfAt4Evg/YN8mnn4GHjTv6BJ1c4FDSpQPSXXF/D7J+lvDRhcE3ZQIMx60DEmfwUNRn2dm3y2q/ksKS75qE4ewwMzuKVN3FfBNST+xFK5A0ip4mPEr8RwMizGzF4EXJc1q4niDoFsQM4qglfw/PK3oCaUqzexpq5yXuplcAmyC588oMBhYHlcUQdBrCUURtIS09rAbcKOZvd3m4ZTiWTxwXdb8NAS4Gs8AFwS9llAUQavoA6yCP5C7KxcDX5O0sqT18fWTi9s8piBoO6Eogm6LpFUlvSHp0qLyzSXdKelJSf+SNKBBp7wCT1D0JeBgfPF7YoNkB0GPJRRF0CrmAPPxdYC8HAA8BOwjae1M+a/w/BMfxtc7LpWkUgJqwczm4hniDsHNTpea2XtdlRsEPZ1QFEFLMLOFeAKdQTXkbT4M+F9gAv6Gj6T1gJ2Bi5Lcm1LbHRs01IuBffBkO2F2CgJCUQSt5XRgXeCMUpWSNpX00fT71sDmeKrNC3GlAbAx8JKZvZvp+mwqbwQ3AX8GfmVmjzVIZhD0aGIfRdAyzOwOSd8HzkqKYBzwHLA28Hngv/HczQ/jiuESM1so6WZgHUnlZg1dNjtlxrgIOKhR8oKgE4gZRdBSzGwMvlfhNeBM4BZcYWwNHAn8VdL78HWCb0iaDjwDrIkrj+eADVKbApuk8iAImkDMKIKWY2aTgEnl6iUNBp4zs09kyjYF/gn8ALgP3yn9G0mD8BnFA3nOLWkFH4ItSmMZhyuqSuO9jaJZS1o8X764PAg6kZhRBN2Rw/Cd0osxs2nAo8DXgG8Dh0p6El/vOLgQdqMKmwDv0hiX1xFJ1pAGyAqCbo3y/X8FQc9GUn980x/AXDOb2kV56wMbpo/vtDH0SBA0nVAUQRAEQUXC9BQEQRBUJBRFEARBUJFQFEEQBEFFQlEEQRAEFQlFEQRBEFQkFEUQBEFQkVAUQRAEQUVCUQRBEAQV+f+l8ODROlkXZwAAAABJRU5ErkJggg==\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fixed = {}\n", "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" @@ -3936,6 +1398,7 @@ "outputs": [], "source": [ "\n", + "#design_ranges = [list(np.linspace(1,5,2)), list(np.linspace(300,700,2)), [300,500]]\n", "design_ranges = [list(np.linspace(1,5,2)), list(np.linspace(300,700,2)), [300,500]]\n", "\n", "dv_apply_name = ['CA0', 'T', 'T']\n", From 74a9e4217ab67dc016559fb6cd41e6e4a4caff8c Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Thu, 2 Sep 2021 00:27:38 -0400 Subject: [PATCH 15/42] changes before reference --- pyomo/contrib/doe/GJH/A_print.txt | 31 - pyomo/contrib/doe/GJH/H_print.txt | 37 - pyomo/contrib/doe/GJH/gradient_f_print.txt | 31 - pyomo/contrib/doe/GJH/kkt_print.txt | 171 -- pyomo/contrib/doe/fim_doe.py | 22 +- pyomo/contrib/doe/reactor_control_doe.ipynb | 2554 ++++++++++++++++++- 6 files changed, 2512 insertions(+), 334 deletions(-) delete mode 100644 pyomo/contrib/doe/GJH/A_print.txt delete mode 100644 pyomo/contrib/doe/GJH/H_print.txt delete mode 100644 pyomo/contrib/doe/GJH/gradient_f_print.txt delete mode 100644 pyomo/contrib/doe/GJH/kkt_print.txt diff --git a/pyomo/contrib/doe/GJH/A_print.txt b/pyomo/contrib/doe/GJH/A_print.txt deleted file mode 100644 index 7c859ec2546..00000000000 --- a/pyomo/contrib/doe/GJH/A_print.txt +++ /dev/null @@ -1,31 +0,0 @@ -1 1 0.008675155814423576 -3 1 -0.22117301598773767 -6 1 1 -1 2 0.006240234300342491 -3 2 -0.15909471486173934 -7 2 1 -1 3 0.003366555450660661 -3 3 -0.08583029958661906 -8 3 1 -1 4 0.0016144259343668075 -3 4 -0.04115977402954044 -9 4 1 -1 5 0.0007258080075524579 -3 5 -0.01850446833375917 -10 5 1 -1 6 0.00031325399481551793 -3 6 -0.007986407654876087 -11 6 1 -1 7 0.00013144286737593058 -3 7 -0.0033511346688753917 -12 7 1 -1 8 5.402845992993365e-05 -3 8 -0.0013774550783293403 -13 8 1 -1 9 -0.006057659656796546 -2 9 0.0007095515604574635 -3 9 0.1544399760397801 -4 9 -0.07930545557229446 -15 9 1 -1 10 -0.0016569746284107907 -2 10 0.0014734997176050397 diff --git a/pyomo/contrib/doe/GJH/H_print.txt b/pyomo/contrib/doe/GJH/H_print.txt deleted file mode 100644 index 052095a5f5a..00000000000 --- a/pyomo/contrib/doe/GJH/H_print.txt +++ /dev/null @@ -1,37 +0,0 @@ -1 1 0 -1 2 0 -2 2 0 -1 3 0 -2 3 0 -3 3 0 -1 4 0 -2 4 0 -3 4 0 -4 4 0 -5 5 0 -6 6 0 -7 7 0 -8 8 0 -9 9 0 -10 10 0 -11 11 0 -12 12 0 -13 13 0 -14 14 0 -15 15 0 -16 16 0 -17 17 0 -18 18 0 -19 19 0 -20 20 0 -21 21 0 -22 22 0 -23 23 0 -24 24 0 -25 25 0 -26 26 0 -27 27 0 -28 28 0 -29 29 0 -30 30 0 -31 31 0 diff --git a/pyomo/contrib/doe/GJH/gradient_f_print.txt b/pyomo/contrib/doe/GJH/gradient_f_print.txt deleted file mode 100644 index 518d2578b02..00000000000 --- a/pyomo/contrib/doe/GJH/gradient_f_print.txt +++ /dev/null @@ -1,31 +0,0 @@ -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 diff --git a/pyomo/contrib/doe/GJH/kkt_print.txt b/pyomo/contrib/doe/GJH/kkt_print.txt deleted file mode 100644 index 031692cbc41..00000000000 --- a/pyomo/contrib/doe/GJH/kkt_print.txt +++ /dev/null @@ -1,171 +0,0 @@ -1 1 0 -1 2 0 -1 3 0 -1 4 0 -1 32 0.008675155814423576 -1 33 0.006240234300342491 -1 34 0.003366555450660661 -1 35 0.0016144259343668075 -1 36 0.0007258080075524579 -1 37 0.00031325399481551793 -1 38 0.00013144286737593058 -1 39 5.402845992993365e-05 -1 40 -0.006057659656796546 -1 41 -0.0016569746284107907 -1 42 0.001223477755122642 -1 43 0.0020804443388142847 -1 44 0.0019340696915234926 -1 45 0.0014821373079172643 -1 46 0.001033508125001094 -1 47 0.0006831644314730851 -1 48 -0.00261749615762703 -1 49 -0.0045832596719317005 -1 50 -0.004590033205783303 -1 51 -0.003694870273181092 -1 52 -0.0026598776990759505 -1 53 -0.0017953913027327823 -1 54 -0.0011649509923770244 -1 55 -0.0007371928914030189 -2 2 0 -2 3 0 -2 4 0 -2 40 0.0007095515604574635 -2 41 0.0014734997176050397 -2 42 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0 -38 38 0 -39 39 0 -40 40 0 -41 41 0 -42 42 0 -43 43 0 -44 44 0 -45 45 0 -46 46 0 -47 47 0 -48 48 0 -49 49 0 -50 50 0 -51 51 0 -52 52 0 -53 53 0 -54 54 0 -55 55 0 -56 56 0 -57 57 0 -58 58 0 diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index f74a13b172d..6de4887065e 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -133,6 +133,7 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', This step is for initialization. 3. Unfix the experiment design decisions and solve the two-stage DOE problem. ''' + time0 = time.time() # store inputs in object self.design_values = design_values @@ -176,10 +177,19 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, obj=objective_option) analysis_optimize.model = m + time1 = time.time() + if self.verbose: + print('Total wall clock time [s]:', time1-time0) + return analysis_square, analysis_optimize else: analysis_optimize.model = m + + time1 = time.time() + if self.verbose: + print('Total wall clock time [s]:', time1 - time0) + return analysis_square @@ -645,13 +655,13 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, self.all_fim = result_combine # Create figure drawing object - figure_draw_object = Grid_Search_Result(design_ranges, design_dimension_names, design_control_time, result_combine) + figure_draw_object = Grid_Search_Result(design_ranges, design_dimension_names, design_control_time, result_combine, store_optimality_name=filename) # store results - if self.filename is not None: - f = open(filename, 'wb') - pickle.dump(result_combine, f) - f.close() + #if self.filename is not None: + # f = open(filename, 'wb') + # pickle.dump(result_combine, f) + # f.close() return figure_draw_object @@ -1614,7 +1624,7 @@ def extract_criteria(self): self.store_all_results_dataframe = pd.DataFrame(store_all_results, columns=column_names) # if needs to store the values if self.store_optimality_name is not None: - store_df.to_csv(self.store_optimality_name, index=False) + self.store_all_results_dataframe.to_csv(self.store_optimality_name, index=False) def figure_drawing(self, fixed_design_dimensions, sensitivity_dimension, title_text, xlabel_text, ylabel_text, font_axes=16, font_tick=14, log_scale=True): diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 454189de56e..97328abf574 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -190,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "written-tours", "metadata": {}, "outputs": [ @@ -246,7 +246,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "id": "d3ee5ff9", "metadata": {}, "outputs": [ @@ -276,7 +276,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "id": "latin-medicare", "metadata": { "scrolled": true @@ -338,8 +338,8 @@ "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.006\n", - "Total CPU secs in NLP function evaluations = 0.001\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", "\n", "EXIT: Optimal Solution Found.\n", "Ipopt 3.13.3: linear_solver=ma57\n", @@ -448,7 +448,7 @@ "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.006\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", "Total CPU secs in NLP function evaluations = 0.000\n", "\n", "EXIT: Optimal Solution Found.\n" @@ -680,7 +680,7 @@ "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.006\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", "Total CPU secs in NLP function evaluations = 0.000\n", "\n", "EXIT: Optimal Solution Found.\n", @@ -735,11 +735,11 @@ "Number of equality constraint Jacobian evaluations = 5\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.006\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", "Total CPU secs in NLP function evaluations = 0.000\n", "\n", "EXIT: Optimal Solution Found.\n", - "This run takes wall clock time: 1.209704875946045 s.\n", + "This run takes wall clock time: 1.1137192249298096 s.\n", "Existed information has been added.\n", "FIM: [[ 17.66735032 18.7480602 -30.08263104 -76.6066237 ]\n", " [ 18.7480602 30.76320467 -30.03050295 -124.70431051]\n", @@ -764,7 +764,9 @@ "\n", "\n", "if_s = True\n", - "result = doe_object.compute_FIM(exp1,mode=sensi_opt, FIM_store_name = 'dynamic.csv', scale_nominal_param_value=if_s, formula='central')\n", + "\n", + "result = doe_object.compute_FIM(exp1,mode=sensi_opt, FIM_store_name = 'dynamic.csv', \n", + " scale_nominal_param_value=if_s, formula='central')\n", "\n", "\n", "if sensi_opt == 'simultaneous_finite':\n", @@ -776,7 +778,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "id": "64fc6da4", "metadata": {}, "outputs": [ @@ -877,7 +879,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "id": "wicked-raising", "metadata": { "scrolled": true @@ -1065,8 +1067,8 @@ "Number of equality constraint Jacobian evaluations = 119\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 117\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 1.124\n", - "Total CPU secs in NLP function evaluations = 0.142\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 1.168\n", + "Total CPU secs in NLP function evaluations = 0.148\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -1166,8 +1168,8 @@ "Number of equality constraint Jacobian evaluations = 23\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 22\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.198\n", - "Total CPU secs in NLP function evaluations = 0.027\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.188\n", + "Total CPU secs in NLP function evaluations = 0.025\n", "\n", "EXIT: Optimal Solution Found.\n", "FIM: [[ 17.22555255 14.38327112 -36.46377844 -71.12350272]\n", @@ -1188,7 +1190,8 @@ "Solution of CA0 : [5.0]\n", "Solution of T : [477.13450463920645, 300.0, 300.00000049721297, 300.00000226167623, 300.00000640380813, 300.00001517876314, 300.0000313763859, 300.000065678056, 300.000207674314]\n", "======problem solver output======\n", - "converged\n" + "converged\n", + "Total wall clock time [s]: 3.0934250354766846\n" ] } ], @@ -1197,12 +1200,14 @@ " ['CA','CB','CC'], t_measure, createmod,\n", " prior_FIM=prior_pass, discretize_model=disc)\n", "\n", - "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, scale_nominal_param_value=True, objective_option='det', L_initial=None)\n" + "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, \n", + " scale_nominal_param_value=True, objective_option='det', \n", + " L_initial=None)\n" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 10, "id": "c6b08c05", "metadata": {}, "outputs": [ @@ -1262,32 +1267,6 @@ "plt.show()" ] }, - { - "cell_type": "code", - "execution_count": 33, - "id": "602167c6", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.9184300249687846\n" - ] - } - ], - "source": [ - "print(np.log10(0.12066184870855438))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "96cc1869", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "skilled-booking", @@ -1298,19 +1277,16 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "427c7dc8", "metadata": {}, "outputs": [], "source": [ - "#design_ranges = [list(np.linspace(1,5,9)), list(np.linspace(300,700,9))]\n", - "design_ranges = [list(np.linspace(300,700,9)), list(np.linspace(300, 700, 9))]\n", + "design_ranges = [list(np.linspace(1,5,9)), list(np.linspace(300,700,9))]\n", "\n", - "#dv_apply_name = ['CA0','T']\n", - "dv_apply_name = ['T']\n", - "\n", - "#dv_apply_time = [[0],t_control]\n", + "dv_apply_name = ['CA0','T']\n", "\n", + "dv_apply_time = [[0],t_control]\n", "\n", "# Define experiments\n", "if (model_opt=='dynamic-DAE'):\n", @@ -1321,12 +1297,2031 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "dcfae212", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "81 design vectors will be searched.\n", + "=======This is the 1 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1347441673278809 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 31972787980626.57 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.90110466 0.07362417 -2.80952561 -0.44413588]\n", + " [ 0.07362417 0.72393115 -0.22954992 -4.36711698]\n", + " [-2.80952561 -0.22954992 8.75973063 1.3847538 ]\n", + " [-0.44413588 -4.36711698 1.3847538 26.34464701]]\n", + "Trace: 36.729413461228205\n", + "Determinant: 4.848608371240737e-22\n", + "Condition number: 31965433585094.88\n", + "Minimal eigen value: 8.50685168108717e-13\n", + "Eigen values: [9.53689322e+00 2.71925202e+01 8.50685168e-13 2.19984061e-12]\n", + "Eigen vectors: [[ 0.30433403 0.02558873 0.87161869 -0.38377225]\n", + " [-0.01370187 0.16296194 -0.39723207 -0.90286653]\n", + " [-0.94887345 -0.07978216 0.27955592 -0.12308814]\n", + " [ 0.08265733 -0.98306838 -0.06584859 -0.14966699]]\n", + "This is the 1 run out of 81 run.\n", + "The code has run 1.1394 seconds.\n", + "Estimated remaining time: 91.1538 seconds\n", + "=======This is the 2 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1614508628845215 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 50984991113318.4 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.64382213 0.31802343 -1.72058848 -1.64440385]\n", + " [ 0.31802343 1.23915128 -0.8499045 -6.4072861 ]\n", + " [-1.72058848 -0.8499045 4.5982028 4.39460144]\n", + " [-1.64440385 -6.4072861 4.39460144 33.1301883 ]]\n", + "Trace: 39.61136450398903\n", + "Determinant: 3.159284782477742e-22\n", + "Condition number: 51006885955545.77\n", + "Minimal eigen value: 6.887979921858385e-13\n", + "Eigen values: [3.51334406e+01 4.47792387e+00 6.88797992e-13 2.91468693e-12]\n", + "Eigen vectors: [[-0.05532922 -0.34606073 -0.93275231 -0.08517022]\n", + " [-0.18749751 0.02997747 0.08866448 -0.9777395 ]\n", + " [ 0.14786507 0.92483327 -0.34902392 -0.0318698 ]\n", + " [ 0.96949434 -0.15500565 0.01714745 -0.18909207]]\n", + "This is the 2 run out of 81 run.\n", + "The code has run 2.3044 seconds.\n", + "Estimated remaining time: 91.0256 seconds\n", + "=======This is the 3 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4895288944244385 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 84296592383587.7 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.4606651 0.26807865 -1.07722036 -1.21288756]\n", + " [ 0.26807865 0.86361728 -0.62687592 -3.90732798]\n", + " [-1.07722036 -0.62687592 2.51897464 2.83621987]\n", + " [-1.21288756 -3.90732798 2.83621987 17.67821492]]\n", + "Trace: 21.521471937345723\n", + "Determinant: 4.068867335994361e-23\n", + "Condition number: 84119873373258.16\n", + "Minimal eigen value: 2.2775455567029474e-13\n", + "Eigen values: [1.91586844e+01 2.36278755e+00 2.27754556e-13 3.94369430e-12]\n", + "Eigen vectors: [[-0.07535284 -0.38590965 -0.91314357 -0.10738922]\n", + " [-0.21181621 0.04135917 0.11420276 -0.9697511 ]\n", + " [ 0.17620531 0.90241198 -0.39049891 -0.04592434]\n", + " [ 0.95833581 -0.18712504 0.02524168 -0.21433924]]\n", + "This is the 3 run out of 81 run.\n", + "The code has run 3.7971 seconds.\n", + "Estimated remaining time: 98.7254 seconds\n", + "=======This is the 4 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4328651428222656 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 113006141155298.42 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.33151528 0.18817742 -0.68908102 -0.7567873 ]\n", + " [ 0.18817742 0.51325082 -0.39114193 -2.06412542]\n", + " [-0.68908102 -0.39114193 1.43231002 1.57304342]\n", + " [-0.7567873 -2.06412542 1.57304342 8.30123121]]\n", + "Trace: 10.578307326411267\n", + "Determinant: 5.207590550335569e-24\n", + "Condition number: 113117587281468.55\n", + "Minimal eigen value: 8.17456626845312e-14\n", + "Eigen values: [9.24687213e+00 1.33143519e+00 8.17456627e-14 5.16338217e-12]\n", + "Eigen vectors: [[-0.1013268 -0.4215274 -0.8991832 -0.05931385]\n", + " [-0.23462172 0.05639834 0.06386675 -0.96834483]\n", + " [ 0.21061591 0.87617833 -0.43259498 -0.02853583]\n", + " [ 0.94357112 -0.2268158 0.01588069 -0.24078176]]\n", + "This is the 4 run out of 81 run.\n", + "The code has run 5.2330 seconds.\n", + "Estimated remaining time: 100.7360 seconds\n", + "=======This is the 5 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4074678421020508 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 148444579981147.34 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.24598022 0.14288633 -0.46016064 -0.51717771]\n", + " [ 0.14288633 0.33243516 -0.26730071 -1.20325038]\n", + " [-0.46016064 -0.26730071 0.86083266 0.96749609]\n", + " [-0.51717771 -1.20325038 0.96749609 4.35516954]]\n", + "Trace: 5.794417583976519\n", + "Determinant: 2.9317318441899153e-25\n", + "Condition number: 148238217133866.56\n", + "Minimal eigen value: 3.3855928429315215e-14\n", + "Eigen values: [5.01874247e+00 7.75675114e-01 3.38559284e-14 2.22284670e-12]\n", + "Eigen vectors: [[-0.13169743 0.45265633 0.88063902 -0.04732768]\n", + " [-0.25570165 -0.07439481 -0.05164702 -0.96250006]\n", + " [ 0.24636936 -0.84679406 0.47074824 -0.02529911]\n", + " [ 0.92551315 0.26927214 -0.01426914 -0.26592044]]\n", + "This is the 5 run out of 81 run.\n", + "The code has run 6.6438 seconds.\n", + "Estimated remaining time: 100.9856 seconds\n", + "=======This is the 6 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.6491639614105225 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 212972253670046.1 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.18990133 0.11787786 -0.32295693 -0.3878723 ]\n", + " [ 0.11787786 0.2323771 -0.20046982 -0.76462718]\n", + " [-0.32295693 -0.20046982 0.5492388 0.65963777]\n", + " [-0.3878723 -0.76462718 0.65963777 2.51597394]]\n", + "Trace: 3.4874911698459323\n", + "Determinant: 1.8512689462362107e-26\n", + "Condition number: 217618844047013.2\n", + "Minimal eigen value: 1.3913472186281608e-14\n", + "Eigen values: [3.02783373e+00 4.59657436e-01 1.39134722e-14 9.43341048e-13]\n", + "Eigen vectors: [[-0.16721128 0.47850015 0.86176614 -0.0208748 ]\n", + " [-0.27449976 -0.09592374 -0.02320564 -0.95651016]\n", + " [ 0.28436902 -0.81376425 0.50672565 -0.01227443]\n", + " [ 0.90323005 0.31563268 -0.00705247 -0.2906921 ]]\n", + "This is the 6 run out of 81 run.\n", + "The code has run 8.2962 seconds.\n", + "Estimated remaining time: 103.7027 seconds\n", + "=======This is the 7 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4439589977264404 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 410118500038863.0 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.15132033 0.0994787 -0.23589859 -0.30005304]\n", + " [ 0.0994787 0.16585006 -0.15508088 -0.50024583]\n", + " [-0.23589859 -0.15508088 0.3677506 0.46776337]\n", + " [-0.30005304 -0.50024583 0.46776337 1.50886826]]\n", + "Trace: 2.1937892586668126\n", + "Determinant: 1.1734831558205196e-27\n", + "Condition number: 411203596186456.25\n", + "Minimal eigen value: 4.66797601375524e-15\n", + "Eigen values: [1.91948852e+00 2.74300735e-01 4.66797601e-15 4.79221572e-13]\n", + "Eigen vectors: [[-2.08260428e-01 -4.98145715e-01 -8.41708527e-01 2.32703514e-03]\n", + " [-2.90340727e-01 1.21383294e-01 -2.57056972e-03 -9.49189903e-01]\n", + " [ 3.24664570e-01 7.76576692e-01 -5.39925385e-01 1.49285981e-03]\n", + " [ 8.75741271e-01 -3.66122363e-01 -8.52165267e-04 -3.14691730e-01]]\n", + "This is the 7 run out of 81 run.\n", + "The code has run 9.7441 seconds.\n", + "Estimated remaining time: 103.0094 seconds\n", + "=======This is the 8 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.4287991523742676 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 138358693491824.11 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.1212572 0.08051025 -0.17449118 -0.22415945]\n", + " [ 0.08051025 0.114104 -0.11585565 -0.31769231]\n", + " [-0.17449118 -0.11585565 0.25109578 0.32256936]\n", + " [-0.22415945 -0.31769231 0.32256936 0.88452992]]\n", + "Trace: 1.3709869089149331\n", + "Determinant: 5.345787902314352e-28\n", + "Condition number: 137889898382123.92\n", + "Minimal eigen value: 8.75538171889101e-15\n", + "Eigen values: [1.20727870e+00 1.63708213e-01 8.75538172e-15 3.11137399e-13]\n", + "Eigen vectors: [[ 0.25516385 0.51043383 0.81839598 -0.06785408]\n", + " [ 0.30235023 -0.15114386 -0.07753322 -0.9379192 ]\n", + " [-0.3671852 -0.7345228 0.56871886 -0.04715294]\n", + " [-0.84181398 0.42081956 -0.02784732 -0.33686793]]\n", + "This is the 8 run out of 81 run.\n", + "The code has run 11.1759 seconds.\n", + "Estimated remaining time: 101.9800 seconds\n", + "=======This is the 9 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.608335256576538 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 9964967654536.89 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.0955446 0.06080451 -0.12766957 -0.15720165]\n", + " [ 0.06080451 0.07360905 -0.08124883 -0.19030598]\n", + " [-0.12766957 -0.08124883 0.17059592 0.21005761]\n", + " [-0.15720165 -0.19030598 0.21005761 0.49200974]]\n", + "Trace: 0.8317593128931969\n", + "Determinant: 1.5570448887512526e-27\n", + "Condition number: 9960578250070.64\n", + "Minimal eigen value: 7.374668532805774e-14\n", + "Eigen values: [7.34559630e-01 9.71996830e-02 2.95853129e-13 7.37466853e-14]\n", + "Eigen vectors: [[ 0.30847679 0.51365626 -0.71923262 -0.35182425]\n", + " [ 0.30926344 -0.18572861 -0.40972047 0.83778653]\n", + " [-0.41219601 -0.68636271 -0.53825515 -0.2632963 ]\n", + " [-0.79955778 0.48017534 -0.15847699 0.32405015]]\n", + "This is the 9 run out of 81 run.\n", + "The code has run 12.7875 seconds.\n", + "Estimated remaining time: 102.3003 seconds\n", + "=======This is the 10 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.2164638042449951 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 31973145999846.64 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 2.02748549 0.16565439 -6.32143261 -0.99930574]\n", + " [ 0.16565439 1.62884509 -0.51648732 -9.82601319]\n", + " [-6.32143261 -0.51648732 19.70939392 3.11569604]\n", + " [-0.99930574 -9.82601319 3.11569604 59.27545577]]\n", + "Trace: 82.64118027936469\n", + "Determinant: 1.2428953932933016e-20\n", + "Condition number: 31971742466986.04\n", + "Minimal eigen value: 1.9136639362180647e-12\n", + "Eigen values: [2.14580097e+01 6.11831705e+01 1.91366394e-12 4.94773844e-12]\n", + "Eigen vectors: [[ 0.30433403 -0.02558873 -0.87115069 -0.38400492]\n", + " [-0.01370187 -0.16296194 0.39833249 -0.90276033]\n", + " [-0.94887345 0.07978216 -0.27940581 -0.12316277]\n", + " [ 0.08265733 0.98306838 0.06603101 -0.14964938]]\n", + "This is the 10 run out of 81 run.\n", + "The code has run 14.0079 seconds.\n", + "Estimated remaining time: 99.4561 seconds\n", + "=======This is the 11 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1987950801849365 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 50960411894677.57 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.44859978 0.71555272 -3.87132407 -3.69990866]\n", + " [ 0.71555272 2.78809038 -1.91228513 -14.41639372]\n", + " [ -3.87132407 -1.91228513 10.34595631 9.88785324]\n", + " [ -3.69990866 -14.41639372 9.88785324 74.54292366]]\n", + "Trace: 89.12557013075498\n", + "Determinant: 8.097547105911343e-21\n", + "Condition number: 51021003936316.61\n", + "Minimal eigen value: 1.5493666397017185e-12\n", + "Eigen values: [7.90502414e+01 1.00753287e+01 1.54936664e-12 6.55664434e-12]\n", + "Eigen vectors: [[-0.05532922 -0.34606073 -0.93273059 -0.08499528]\n", + " [-0.18749751 0.02997747 0.08891531 -0.97775623]\n", + " [ 0.14786507 0.92483327 -0.34901578 -0.03180434]\n", + " [ 0.96949434 -0.15500565 0.01719596 -0.18909531]]\n", + "This is the 11 run out of 81 run.\n", + "The code has run 15.2104 seconds.\n", + "Estimated remaining time: 96.7936 seconds\n", + "=======This is the 12 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5123708248138428 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 82958670491440.22 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.03649652 0.60317702 -2.42374599 -2.72899725]\n", + " [ 0.60317702 1.94313885 -1.41047111 -8.79148777]\n", + " [-2.42374599 -1.41047111 5.66769355 6.38149604]\n", + " [-2.72899725 -8.79148777 6.38149604 39.77598278]]\n", + "Trace: 48.4233116870135\n", + "Determinant: 1.0596779554647109e-21\n", + "Condition number: 82701057430321.11\n", + "Minimal eigen value: 5.212392795276966e-13\n", + "Eigen values: [4.31070396e+01 5.31627210e+00 5.21239280e-13 8.88465684e-12]\n", + "Eigen vectors: [[-0.07535285 -0.38590964 -0.91258659 -0.11253227]\n", + " [-0.2118162 0.04135917 0.11911813 -0.96909319]\n", + " [ 0.17620535 0.90241197 -0.39026071 -0.04812373]\n", + " [ 0.95833581 -0.18712508 0.02632811 -0.21419382]]\n", + "This is the 12 run out of 81 run.\n", + "The code has run 16.7254 seconds.\n", + "Estimated remaining time: 96.1709 seconds\n", + "=======This is the 13 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4442291259765625 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 112012216056165.58 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.74590936 0.42339918 -1.55043228 -1.70277138]\n", + " [ 0.42339918 1.15481435 -0.88006934 -4.64428219]\n", + " [-1.55043228 -0.88006934 3.22269753 3.53934769]\n", + " [-1.70277138 -4.64428219 3.53934769 18.67777025]]\n", + "Trace: 23.801191490347254\n", + "Determinant: 1.3458279892815638e-22\n", + "Condition number: 111118663958515.56\n", + "Minimal eigen value: 1.8723643327211134e-13\n", + "Eigen values: [2.08054623e+01 2.99572918e+00 1.87236433e-13 1.16189002e-11]\n", + "Eigen vectors: [[-0.1013268 -0.4215274 -0.899163 -0.05965722]\n", + " [-0.23462172 0.05639834 0.06419571 -0.96832037]\n", + " [ 0.21061591 0.87617833 -0.43258526 -0.02870102]\n", + " [ 0.94357112 -0.2268158 0.01596248 -0.24077568]]\n", + "This is the 13 run out of 81 run.\n", + "The code has run 18.1727 seconds.\n", + "Estimated remaining time: 95.0574 seconds\n", + "=======This is the 14 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4429600238800049 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 148225493001349.84 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.5534555 0.32149425 -1.03536143 -1.16364985]\n", + " [ 0.32149425 0.7479791 -0.60142659 -2.70731335]\n", + " [-1.03536143 -0.60142659 1.93687349 2.1768662 ]\n", + " [-1.16364985 -2.70731335 2.1768662 9.79913147]]\n", + "Trace: 13.037439564017397\n", + "Determinant: 7.511437493000537e-24\n", + "Condition number: 149018706285813.8\n", + "Minimal eigen value: 7.577686613010485e-14\n", + "Eigen values: [1.12921706e+01 1.74526901e+00 7.57768661e-14 5.00061389e-12]\n", + "Eigen vectors: [[-0.13169743 0.45265633 0.88064531 -0.04731374]\n", + " [-0.25570165 -0.07439481 -0.05151871 -0.96250088]\n", + " [ 0.24636936 -0.84679406 0.4707516 -0.02529166]\n", + " [ 0.92551315 0.26927214 -0.01423369 -0.26592066]]\n", + "This is the 14 run out of 81 run.\n", + "The code has run 19.6185 seconds.\n", + "Estimated remaining time: 93.8886 seconds\n", + "=======This is the 15 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.5783569812774658 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 199132210297141.9 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.42727795 0.26522517 -0.72665305 -0.87271261]\n", + " [ 0.26522517 0.52284848 -0.45105708 -1.72041117]\n", + " [-0.72665305 -0.45105708 1.23578727 1.48418495]\n", + " [-0.87271261 -1.72041117 1.48418495 5.66094141]]\n", + "Trace: 7.846855102898291\n", + "Determinant: 5.075748439734619e-25\n", + "Condition number: 201006166390696.8\n", + "Minimal eigen value: 3.389262134493229e-14\n", + "Eigen values: [6.81262589e+00 1.03422922e+00 3.38926213e-14 2.12202017e-12]\n", + "Eigen vectors: [[-0.16721127 0.47850015 0.86181047 -0.01914375]\n", + " [-0.27449976 -0.09592374 -0.02108036 -0.95655477]\n", + " [ 0.28436901 -0.81376425 0.5067517 -0.01125656]\n", + " [ 0.90323006 0.31563267 -0.00640658 -0.29070566]]\n", + "This is the 15 run out of 81 run.\n", + "The code has run 21.1996 seconds.\n", + "Estimated remaining time: 93.2782 seconds\n", + "=======This is the 16 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3943848609924316 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 419571799901484.94 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.34047074 0.22382707 -0.53077181 -0.67511934]\n", + " [ 0.22382707 0.37316264 -0.34893198 -1.12555312]\n", + " [-0.53077181 -0.34893198 0.82743885 1.05246757]\n", + " [-0.67511934 -1.12555312 1.05246757 3.39495359]]\n", + "Trace: 4.936025811607012\n", + "Determinant: 2.99938160906495e-26\n", + "Condition number: 419003987816063.56\n", + "Minimal eigen value: 1.030741779441667e-14\n", + "Eigen values: [4.31884916e+00 6.17176652e-01 1.03074178e-14 1.07785952e-12]\n", + "Eigen vectors: [[ 2.08260427e-01 4.98145716e-01 8.41709483e-01 2.01228634e-03]\n", + " [ 2.90340728e-01 -1.21383294e-01 2.13586970e-03 -9.49190817e-01]\n", + " [-3.24664568e-01 -7.76576692e-01 5.39925998e-01 1.29095974e-03]\n", + " [-8.75741272e-01 3.66122361e-01 7.08046556e-04 -3.14692034e-01]]\n", + "This is the 16 run out of 81 run.\n", + "The code has run 22.5971 seconds.\n", + "Estimated remaining time: 91.8006 seconds\n", + "=======This is the 17 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.480205774307251 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 1048539784332604.2 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.27282869 0.18114806 -0.39260515 -0.50435873]\n", + " [ 0.18114806 0.25673401 -0.2606752 -0.71480767]\n", + " [-0.39260515 -0.2606752 0.56496551 0.72578099]\n", + " [-0.50435873 -0.71480767 0.72578099 1.9901921 ]]\n", + "Trace: 3.0847203144787736\n", + "Determinant: 1.3483706559449644e-27\n", + "Condition number: 994261808019791.5\n", + "Minimal eigen value: 2.7320538745812395e-15\n", + "Eigen values: [2.71637682e+00 3.68343490e-01 2.73205387e-15 5.14836974e-13]\n", + "Eigen vectors: [[-0.25516387 0.51043383 0.82111798 0.01064446]\n", + " [-0.30235024 -0.15114385 0.01223496 -0.94105847]\n", + " [ 0.36718522 -0.73452279 0.57061042 0.00739717]\n", + " [ 0.84181396 0.42081958 0.00439429 -0.33799547]]\n", + "This is the 17 run out of 81 run.\n", + "The code has run 24.0800 seconds.\n", + "Estimated remaining time: 90.6542 seconds\n", + "=======This is the 18 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.691422939300537 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 94839714542627.23 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.21497535 0.13681015 -0.28725654 -0.3537037 ]\n", + " [ 0.13681015 0.16562035 -0.18280987 -0.42818846]\n", + " [-0.28725654 -0.18280987 0.38384083 0.47262962]\n", + " [-0.3537037 -0.42818846 0.47262962 1.10702192]]\n", + "Trace: 1.8714584503325047\n", + "Determinant: 1.2513854982833315e-27\n", + "Condition number: 96196702536858.25\n", + "Minimal eigen value: 1.7181037605225666e-14\n", + "Eigen values: [1.65275916e+00 2.18699287e-01 1.71810376e-14 1.99871968e-13]\n", + "Eigen vectors: [[-0.30847678 0.51365626 0.79677395 0.07811184]\n", + " [-0.30926344 -0.18572861 0.09135979 -0.92821392]\n", + " [ 0.41219601 -0.68636271 0.59628511 0.05845698]\n", + " [ 0.79955778 0.48017534 0.03533724 -0.35902681]]\n", + "This is the 18 run out of 81 run.\n", + "The code has run 25.7744 seconds.\n", + "Estimated remaining time: 90.2102 seconds\n", + "=======This is the 19 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1622440814971924 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 31966372534290.87 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 3.60441866 0.2944967 -11.23810242 -1.77654353]\n", + " [ 0.2944967 2.89572461 -0.91819967 -17.4684679 ]\n", + " [-11.23810242 -0.91819967 35.03892253 5.53901518]\n", + " [ -1.77654353 -17.4684679 5.53901518 105.37858803]]\n", + "Trace: 146.91765382256895\n", + "Determinant: 1.241698893902478e-19\n", + "Condition number: 31960557275349.055\n", + "Minimal eigen value: 3.4032598370949167e-12\n", + "Eigen values: [3.81475729e+01 1.08770081e+02 3.40325984e-12 8.79498923e-12]\n", + "Eigen vectors: [[ 0.30433403 -0.02558873 -0.8712971 -0.38437586]\n", + " [-0.01370187 -0.16296194 0.39798862 -0.90259087]\n", + " [-0.94887345 0.07978216 -0.27945277 -0.12328174]\n", + " [ 0.08265733 0.98306838 0.065974 -0.14962129]]\n", + "This is the 19 run out of 81 run.\n", + "The code has run 26.9396 seconds.\n", + "Estimated remaining time: 87.9081 seconds\n", + "=======This is the 20 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1782920360565186 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 50988508188931.664 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 2.5752885 1.27209373 -6.88235391 -6.5776154 ]\n", + " [ 1.27209373 4.95660511 -3.399618 -25.6291444 ]\n", + " [ -6.88235391 -3.399618 18.39281122 17.57840577]\n", + " [ -6.5776154 -25.6291444 17.57840577 132.52075317]]\n", + "Trace: 158.44545800381212\n", + "Determinant: 8.090159605163825e-20\n", + "Condition number: 51005826934892.195\n", + "Minimal eigen value: 2.7552491738399765e-12\n", + "Eigen values: [1.40533763e+02 1.79116955e+01 2.75524917e-12 1.16670098e-11]\n", + "Eigen vectors: [[-0.05532922 -0.34606073 -0.93267616 -0.08482047]\n", + " [-0.18749751 0.02997747 0.08954056 -0.97777291]\n", + " [ 0.14786507 0.92483327 -0.34899542 -0.03173893]\n", + " [ 0.96949434 -0.15500565 0.01731688 -0.18909853]]\n", + "This is the 20 run out of 81 run.\n", + "The code has run 28.1212 seconds.\n", + "Estimated remaining time: 85.7697 seconds\n", + "=======This is the 21 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.46903395652771 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 83862999502896.86 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.84266038 1.07231461 -4.30888139 -4.85155021]\n", + " [ 1.07231461 3.4544691 -2.50750365 -15.62931179]\n", + " [ -4.30888139 -2.50750365 10.07589844 11.34487936]\n", + " [ -4.85155021 -15.62931179 11.34487936 70.71285913]]\n", + "Trace: 86.08588704673811\n", + "Determinant: 1.0435028094266959e-20\n", + "Condition number: 83951225028456.88\n", + "Minimal eigen value: 9.128483461334003e-13\n", + "Eigen values: [7.66347369e+01 9.45115012e+00 9.12848346e-13 1.57781778e-11]\n", + "Eigen vectors: [[-0.07535284 -0.38590965 -0.91309366 -0.1078996 ]\n", + " [-0.21181621 0.04135917 0.11465194 -0.96968721]\n", + " [ 0.17620531 0.90241198 -0.39047757 -0.0461426 ]\n", + " [ 0.95833581 -0.18712504 0.02534097 -0.21432512]]\n", + "This is the 21 run out of 81 run.\n", + "The code has run 29.5934 seconds.\n", + "Estimated remaining time: 84.5526 seconds\n", + "=======This is the 22 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.3738529682159424 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 112127370466808.56 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.3260611 0.75270966 -2.75632409 -3.02714919]\n", + " [ 0.75270966 2.05300328 -1.56456776 -8.25650167]\n", + " [-2.75632409 -1.56456776 5.72924015 6.29217382]\n", + " [-3.02714919 -8.25650167 6.29217382 33.20492484]]\n", + "Trace: 42.31322937680249\n", + "Determinant: 1.3443500959505542e-21\n", + "Condition number: 111822932733537.47\n", + "Minimal eigen value: 3.3076836460019954e-13\n", + "Eigen values: [3.69874886e+01 5.32574079e+00 3.30768365e-13 2.06532763e-11]\n", + "Eigen vectors: [[-0.1013268 -0.4215274 -0.89916541 -0.0595232 ]\n", + " [-0.23462172 0.05639835 0.0641566 -0.96832994]\n", + " [ 0.21061591 0.87617833 -0.43258642 -0.02863655]\n", + " [ 0.94357112 -0.22681581 0.01595276 -0.24077805]]\n", + "This is the 22 run out of 81 run.\n", + "The code has run 30.9703 seconds.\n", + "Estimated remaining time: 83.0568 seconds\n", + "=======This is the 23 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4204819202423096 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 148009532916978.06 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.9839209 0.57154533 -1.84064255 -2.06871085]\n", + " [ 0.57154533 1.32974063 -1.06920283 -4.81300151]\n", + " [-1.84064255 -1.06920283 3.44333065 3.86998436]\n", + " [-2.06871085 -4.81300151 3.86998436 17.42067816]]\n", + "Trace: 23.177670334025915\n", + "Determinant: 7.484298754243516e-23\n", + "Condition number: 148034002422452.72\n", + "Minimal eigen value: 1.3561053236139931e-13\n", + "Eigen values: [2.00749699e+01 3.10270046e+00 1.35610532e-13 8.89147711e-12]\n", + "Eigen vectors: [[ 0.13169743 0.45265633 0.88063898 -0.04738043]\n", + " [ 0.25570165 -0.07439481 -0.05164776 -0.96249696]\n", + " [-0.24636936 -0.84679406 0.47074822 -0.0253273 ]\n", + " [-0.92551315 0.26927214 -0.01426934 -0.26591958]]\n", + "This is the 23 run out of 81 run.\n", + "The code has run 32.3941 seconds.\n", + "Estimated remaining time: 81.6895 seconds\n", + "=======This is the 24 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.537688970565796 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 213412213716161.8 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.75960531 0.47151146 -1.29182772 -1.55148923]\n", + " [ 0.47151146 0.9295084 -0.80187929 -3.05850872]\n", + " [-1.29182772 -0.80187929 2.19695523 2.63855111]\n", + " [-1.55148923 -3.05850872 2.63855111 10.06389575]]\n", + "Trace: 13.949964696437021\n", + "Determinant: 4.78139252367893e-24\n", + "Condition number: 212133827655797.03\n", + "Minimal eigen value: 5.709289782847456e-14\n", + "Eigen values: [1.21113349e+01 1.83862975e+00 5.70928978e-14 3.77235192e-12]\n", + "Eigen vectors: [[-0.16721128 -0.47850015 -0.86177319 -0.02088608]\n", + " [-0.27449976 0.09592374 0.02288081 -0.95650986]\n", + " [ 0.28436903 0.81376425 -0.50672979 -0.01228106]\n", + " [ 0.90323005 -0.31563268 0.00695375 -0.29069201]]\n", + "This is the 24 run out of 81 run.\n", + "The code has run 33.9346 seconds.\n", + "Estimated remaining time: 80.5947 seconds\n", + "=======This is the 25 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3819878101348877 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 169724373531195.72 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.60528098 0.39791443 -0.9435939 -1.20021144]\n", + " [ 0.39791443 0.66339987 -0.62032308 -2.00098258]\n", + " [-0.9435939 -0.62032308 1.47100187 1.87105264]\n", + " [-1.20021144 -2.00098258 1.87105264 6.03547192]]\n", + "Trace: 8.775154646704024\n", + "Determinant: 7.405066616149595e-25\n", + "Condition number: 167781522526101.5\n", + "Minimal eigen value: 4.576160526784532e-14\n", + "Eigen values: [7.67795181e+00 1.09720284e+00 4.57616053e-14 1.93823237e-12]\n", + "Eigen vectors: [[-0.20826036 0.49814572 0.8416191 -0.01264309]\n", + " [-0.29034069 -0.1213833 -0.01407345 -0.94908646]\n", + " [ 0.32466451 -0.77657673 0.539868 -0.00810987]\n", + " [ 0.87574132 0.36612227 -0.00466597 -0.31465739]]\n", + "This is the 25 run out of 81 run.\n", + "The code has run 35.3197 seconds.\n", + "Estimated remaining time: 79.1161 seconds\n", + "=======This is the 26 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3901948928833008 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 956111663275971.9 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.48502878 0.32204099 -0.6979647 -0.89663774]\n", + " [ 0.32204099 0.45641602 -0.46342258 -1.27076918]\n", + " [-0.6979647 -0.46342258 1.00438313 1.29027731]\n", + " [-0.89663774 -1.27076918 1.29027731 3.53811929]]\n", + "Trace: 5.483947215487153\n", + "Determinant: 1.4148755063528674e-26\n", + "Condition number: 986721993155298.0\n", + "Minimal eigen value: 4.894098215368669e-15\n", + "Eigen values: [4.82911435e+00 6.54832870e-01 4.89409822e-15 9.14772739e-13]\n", + "Eigen vectors: [[-0.25516387 0.51043383 0.82111823 0.01071622]\n", + " [-0.30235024 -0.15114385 0.01221273 -0.9410574 ]\n", + " [ 0.36718522 -0.73452279 0.5706106 0.00744704]\n", + " [ 0.84181397 0.42081958 0.0043863 -0.33799508]]\n", + "This is the 26 run out of 81 run.\n", + "The code has run 36.7130 seconds.\n", + "Estimated remaining time: 77.6621 seconds\n", + "=======This is the 27 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5488462448120117 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 609153849626585.0 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.38217841 0.24321804 -0.51067829 -0.62880658]\n", + " [ 0.24321804 0.29443618 -0.32499532 -0.76122393]\n", + " [-0.51067829 -0.32499532 0.68238369 0.84023044]\n", + " [-0.62880658 -0.76122393 0.84023044 1.96803896]]\n", + "Trace: 3.3270372443667684\n", + "Determinant: 1.7683232970295237e-27\n", + "Condition number: 642873598236677.0\n", + "Minimal eigen value: 4.570476250479508e-15\n", + "Eigen values: [2.93823851e+00 3.88798732e-01 4.57047625e-15 3.34640586e-13]\n", + "Eigen vectors: [[-0.30847678 0.51365626 0.80040922 0.01801673]\n", + " [-0.30926344 -0.18572861 0.02161914 -0.93242721]\n", + " [ 0.41219601 -0.68636271 0.59900566 0.01348335]\n", + " [ 0.79955778 0.48017534 0.00836203 -0.36065647]]\n", + "This is the 27 run out of 81 run.\n", + "The code has run 38.2645 seconds.\n", + "Estimated remaining time: 76.5290 seconds\n", + "=======This is the 28 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.0892679691314697 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 31968463649405.285 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 5.63190415 0.46015109 -17.55953504 -2.77584927]\n", + " [ 0.46015109 4.5245697 -1.43468699 -27.29448109]\n", + " [-17.55953504 -1.43468699 54.74831645 8.65471123]\n", + " [ -2.77584927 -27.29448109 8.65471123 164.65404379]]\n", + "Trace: 229.5588340907823\n", + "Determinant: 7.400262960120086e-19\n", + "Condition number: 31988737378580.867\n", + "Minimal eigen value: 5.312909023551414e-12\n", + "Eigen values: [5.96055826e+01 1.69953251e+02 5.31290902e-12 1.37528897e-11]\n", + "Eigen vectors: [[ 0.30433403 -0.02558873 -0.87150915 -0.38294389]\n", + " [-0.01370187 -0.16296194 0.39748996 -0.90324397]\n", + " [-0.94887345 0.07978216 -0.27952078 -0.12282246]\n", + " [ 0.08265733 0.98306838 0.06589134 -0.14972956]]\n", + "This is the 28 run out of 81 run.\n", + "The code has run 39.3567 seconds.\n", + "Estimated remaining time: 74.4965 seconds\n", + "=======This is the 29 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.1131048202514648 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 50956035387791.13 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 4.02388829 1.98764645 -10.75367798 -10.27752407]\n", + " [ 1.98764645 7.74469549 -5.31190313 -40.04553812]\n", + " [-10.75367798 -5.31190313 28.73876753 27.46625901]\n", + " [-10.27752407 -40.04553812 27.46625901 207.06367682]]\n", + "Trace: 247.57102812051826\n", + "Determinant: 4.823050074953349e-19\n", + "Condition number: 51020795778927.45\n", + "Minimal eigen value: 4.3038137798480985e-12\n", + "Eigen values: [2.19584004e+02 2.79870242e+01 4.30381378e-12 1.82183442e-11]\n", + "Eigen vectors: [[-0.05532922 -0.34606073 -0.93266094 -0.08497247]\n", + " [-0.18749751 0.02997747 0.08971454 -0.97775841]\n", + " [ 0.14786507 0.92483327 -0.34898972 -0.03179581]\n", + " [ 0.96949434 -0.15500565 0.01735053 -0.18909573]]\n", + "This is the 29 run out of 81 run.\n", + "The code has run 40.4727 seconds.\n", + "Estimated remaining time: 72.5717 seconds\n", + "=======This is the 30 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.427731990814209 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 83918503063197.73 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 2.87915683 1.67549156 -6.73262713 -7.58054714]\n", + " [ 1.67549156 5.39760795 -3.91797439 -24.42079958]\n", + " [ -6.73262713 -3.91797439 15.74359118 17.72637374]\n", + " [ -7.58054714 -24.42079958 17.72637374 110.48884202]]\n", + "Trace: 134.5091979808507\n", + "Determinant: 6.216301905252749e-20\n", + "Condition number: 83761573644640.75\n", + "Minimal eigen value: 1.429554994567876e-12\n", + "Eigen values: [1.19741776e+02 1.47674220e+01 1.42955499e-12 2.46535439e-11]\n", + "Eigen vectors: [[-0.07535284 -0.38590965 -0.91309905 -0.1078464 ]\n", + " [-0.21181621 0.04135916 0.11460357 -0.96969388]\n", + " [ 0.17620531 0.90241198 -0.39047987 -0.04611985]\n", + " [ 0.95833582 -0.18712504 0.02533027 -0.21432659]]\n", + "This is the 30 run out of 81 run.\n", + "The code has run 41.9036 seconds.\n", + "Estimated remaining time: 71.2362 seconds\n", + "=======This is the 31 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3343431949615479 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 112660939616416.38 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 2.07197046 1.17610883 -4.30675634 -4.72992056]\n", + " [ 1.17610883 3.20781763 -2.44463704 -12.90078386]\n", + " [ -4.30675634 -2.44463704 8.95193753 9.83152126]\n", + " [ -4.72992056 -12.90078386 9.83152126 51.88269511]]\n", + "Trace: 66.11442073886099\n", + "Determinant: 7.93080557773277e-21\n", + "Condition number: 113609905780836.7\n", + "Minimal eigen value: 5.086964063760798e-13\n", + "Eigen values: [5.77929508e+01 8.32146994e+00 5.08696406e-13 3.22695496e-11]\n", + "Eigen vectors: [[ 0.1013268 -0.4215274 -0.89917792 -0.05935043]\n", + " [ 0.23462172 0.05639834 0.06395292 -0.96834224]\n", + " [-0.21061591 0.87617833 -0.43259244 -0.02855343]\n", + " [-0.94357112 -0.2268158 0.01590211 -0.24078111]]\n", + "This is the 31 run out of 81 run.\n", + "The code has run 43.2410 seconds.\n", + "Estimated remaining time: 69.7436 seconds\n", + "=======This is the 32 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3549151420593262 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 148762525007495.44 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.5373764 0.89303958 -2.87600398 -3.23236071]\n", + " [ 0.89303958 2.07771973 -1.67062943 -7.52031485]\n", + " [-2.87600398 -1.67062943 5.38020414 6.04685057]\n", + " [-3.23236071 -7.52031485 6.04685057 27.21980963]]\n", + "Trace: 36.21510989717033\n", + "Determinant: 4.455898797142603e-22\n", + "Condition number: 147933427471840.62\n", + "Minimal eigen value: 2.1203551467404089e-13\n", + "Eigen values: [3.13671404e+01 4.84796947e+00 2.12035515e-13 1.38933673e-11]\n", + "Eigen vectors: [[-0.13169743 0.45265633 0.88063146 -0.04734815]\n", + " [-0.25570165 -0.07439481 -0.05180073 -0.96249886]\n", + " [ 0.24636936 -0.84679406 0.4707442 -0.02531005]\n", + " [ 0.92551315 0.26927214 -0.0143116 -0.26592011]]\n", + "This is the 32 run out of 81 run.\n", + "The code has run 44.5988 seconds.\n", + "Estimated remaining time: 68.2919 seconds\n", + "=======This is the 33 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4926478862762451 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 214210631997420.1 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.18688331 0.73673665 -2.01848082 -2.42420183]\n", + " [ 0.73673665 1.45235687 -1.25293639 -4.77891975]\n", + " [-2.01848082 -1.25293639 3.43274255 4.12273594]\n", + " [-2.42420183 -4.77891975 4.12273594 15.72483629]]\n", + "Trace: 21.79681902105506\n", + "Determinant: 2.857945636578471e-23\n", + "Condition number: 212630542912551.44\n", + "Minimal eigen value: 8.899925547252e-14\n", + "Eigen values: [1.89239600e+01 2.87285901e+00 8.89992555e-14 5.93199181e-12]\n", + "Eigen vectors: [[ 0.16721129 0.47850015 0.86176909 -0.0206796 ]\n", + " [ 0.27449976 -0.09592374 -0.02307021 -0.95651538]\n", + " [-0.28436903 -0.81376424 0.50672738 -0.01215965]\n", + " [-0.90323005 0.31563269 -0.00701131 -0.29069369]]\n", + "This is the 33 run out of 81 run.\n", + "The code has run 46.0947 seconds.\n", + "Estimated remaining time: 67.0468 seconds\n", + "=======This is the 34 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3745770454406738 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 414850007033785.75 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.94575206 0.62174186 -1.47436615 -1.87533151]\n", + " [ 0.62174186 1.03656288 -0.96925551 -3.12653645]\n", + " [-1.47436615 -0.96925551 2.29844125 2.92352104]\n", + " [-1.87533151 -3.12653645 2.92352104 9.43042663]]\n", + "Trace: 13.711182821112676\n", + "Determinant: 1.7768223375772625e-24\n", + "Condition number: 415833335951541.5\n", + "Minimal eigen value: 2.885002762962962e-14\n", + "Eigen values: [1.19968032e+01 1.71437959e+00 2.88500276e-14 2.99560165e-12]\n", + "Eigen vectors: [[-2.08260427e-01 4.98145716e-01 8.41709572e-01 2.10263984e-03]\n", + " [-2.90340728e-01 -1.21383294e-01 2.09050927e-03 -9.49190568e-01]\n", + " [ 3.24664568e-01 -7.76576692e-01 5.39926056e-01 1.34891823e-03]\n", + " [ 8.75741271e-01 3.66122361e-01 6.93007757e-04 -3.14691951e-01]]\n", + "This is the 34 run out of 81 run.\n", + "The code has run 47.4718 seconds.\n", + "Estimated remaining time: 65.6228 seconds\n", + "=======This is the 35 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4573919773101807 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 1101943374796574.5 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.75785748 0.50318904 -1.09056985 -1.40099647]\n", + " [ 0.50318904 0.71315003 -0.72409778 -1.98557685]\n", + " [-1.09056985 -0.72409778 1.56934863 2.01605829]\n", + " [-1.40099647 -1.98557685 2.01605829 5.52831138]]\n", + "Trace: 8.568667520593298\n", + "Determinant: 8.00230717749934e-26\n", + "Condition number: 1026760114530438.0\n", + "Minimal eigen value: 7.348835483014285e-15\n", + "Eigen values: [7.54549116e+00 1.02317636e+00 7.34883548e-15 1.42959101e-12]\n", + "Eigen vectors: [[-0.25516386 0.51043383 0.82111634 0.0106255 ]\n", + " [-0.30235024 -0.15114385 0.01237916 -0.94105875]\n", + " [ 0.36718521 -0.73452279 0.57060928 0.00738399]\n", + " [ 0.84181397 0.42081958 0.00444608 -0.33799557]]\n", + "This is the 35 run out of 81 run.\n", + "The code has run 48.9322 seconds.\n", + "Estimated remaining time: 64.3109 seconds\n", + "=======This is the 36 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.549124002456665 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 1127821855853820.0 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.59715376 0.38002818 -0.79793482 -0.98251028]\n", + " [ 0.38002818 0.46005653 -0.50780519 -1.1894124 ]\n", + " [-0.79793482 -0.50780519 1.06622452 1.31286006]\n", + " [-0.98251028 -1.1894124 1.31286006 3.07506088]]\n", + "Trace: 5.198495694677646\n", + "Determinant: 5.7967039251776346e-27\n", + "Condition number: 1122717925186380.5\n", + "Minimal eigen value: 4.089181773522092e-15\n", + "Eigen values: [4.59099768e+00 6.07498018e-01 4.08918177e-15 5.24545296e-13]\n", + "Eigen vectors: [[ 0.30847678 0.51365626 0.80048964 0.01508258]\n", + " [ 0.30926344 -0.18572861 0.01710743 -0.93249788]\n", + " [-0.41219601 -0.68636271 0.59906585 0.0112875 ]\n", + " [-0.79955778 0.48017534 0.00661693 -0.36068381]]\n", + "This is the 36 run out of 81 run.\n", + "The code has run 50.4837 seconds.\n", + "Estimated remaining time: 63.1047 seconds\n", + "=======This is the 37 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.121924877166748 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 31994922634936.023 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 8.10994198 0.66261757 -25.28573045 -3.99722295]\n", + " [ 0.66261757 6.51538037 -2.06594926 -39.30405276]\n", + " [-25.28573045 -2.06594926 78.83757569 12.46278416]\n", + " [ -3.99722295 -39.30405276 12.46278416 237.10182305]]\n", + "Trace: 330.5647210839628\n", + "Determinant: 3.1828366144137634e-18\n", + "Condition number: 31963549326799.43\n", + "Minimal eigen value: 7.656617843276287e-12\n", + "Eigen values: [8.58320390e+01 2.44732682e+02 7.65661784e-12 1.97947178e-11]\n", + "Eigen vectors: [[ 0.30433403 0.02558873 0.87131426 -0.38420766]\n", + " [-0.01370187 0.16296194 -0.39794829 -0.90266773]\n", + " [-0.94887345 -0.07978216 0.27945828 -0.12322779]\n", + " [ 0.08265733 -0.98306838 -0.06596732 -0.14963404]]\n", + "This is the 37 run out of 81 run.\n", + "The code has run 51.6089 seconds.\n", + "Estimated remaining time: 61.3727 seconds\n", + "=======This is the 38 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1540107727050781 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 50938599445893.03 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 5.79439914 2.86221089 -15.48529629 -14.79963467]\n", + " [ 2.86221089 11.1523615 -7.64914051 -57.66557489]\n", + " [-15.48529629 -7.64914051 41.38382524 39.55141299]\n", + " [-14.79963467 -57.66557489 39.55141299 298.1716946 ]]\n", + "Trace: 356.5022804802285\n", + "Determinant: 2.0740217679505315e-18\n", + "Condition number: 51006446723145.17\n", + "Minimal eigen value: 6.199235311664675e-12\n", + "Eigen values: [3.16200966e+02 4.03013148e+01 6.19923531e-12 2.62513800e-11]\n", + "Eigen vectors: [[-0.05532922 -0.34606073 -0.9326501 -0.08503568]\n", + " [-0.18749751 0.02997747 0.08983828 -0.97775237]\n", + " [ 0.14786507 0.92483327 -0.34898567 -0.03181946]\n", + " [ 0.96949434 -0.15500565 0.01737446 -0.18909456]]\n", + "This is the 38 run out of 81 run.\n", + "The code has run 52.7658 seconds.\n", + "Estimated remaining time: 59.7086 seconds\n", + "=======This is the 39 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4249231815338135 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 83914448312949.81 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 4.14598582 2.41270783 -9.69498302 -10.91598781]\n", + " [ 2.41270783 7.77255543 -5.64188306 -35.1659513 ]\n", + " [ -9.69498302 -5.64188306 22.67077119 25.52597791]\n", + " [-10.91598781 -35.1659513 25.52597791 159.10393202]]\n", + "Trace: 193.69324445280347\n", + "Determinant: 2.6694282462873097e-19\n", + "Condition number: 83788523885205.25\n", + "Minimal eigen value: 2.057897057744139e-12\n", + "Eigen values: [1.72428157e+02 2.12650877e+01 2.05789706e-12 3.54975904e-11]\n", + "Eigen vectors: [[-0.07535284 -0.38590965 -0.91312419 -0.10784179]\n", + " [-0.21181621 0.04135916 0.11437744 -0.96969446]\n", + " [ 0.1762053 0.90241198 -0.39049062 -0.04611788]\n", + " [ 0.95833582 -0.18712504 0.02528029 -0.21432672]]\n", + "This is the 39 run out of 81 run.\n", + "The code has run 54.1934 seconds.\n", + "Estimated remaining time: 58.3621 seconds\n", + "=======This is the 40 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3173530101776123 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 115286057882518.55 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 2.98363798 1.69359716 -6.20172992 -6.81108714]\n", + " [ 1.69359716 4.61925739 -3.52027779 -18.57712832]\n", + " [ -6.20172992 -3.52027779 12.89079114 14.15739192]\n", + " [ -6.81108714 -18.57712832 14.15739192 74.71107744]]\n", + "Trace: 95.20476394560681\n", + "Determinant: 3.333179583917739e-20\n", + "Condition number: 115165954930945.31\n", + "Minimal eigen value: 7.226254220331789e-13\n", + "Eigen values: [8.32218468e+01 1.19829172e+01 7.22625422e-13 4.63612460e-11]\n", + "Eigen vectors: [[-0.10132682 -0.4215274 -0.8992967 -0.0575314 ]\n", + " [-0.23462172 0.05639835 0.06198564 -0.96846954]\n", + " [ 0.21061594 0.87617832 -0.43264959 -0.0276783 ]\n", + " [ 0.94357111 -0.22681584 0.01541293 -0.24081277]]\n", + "This is the 40 run out of 81 run.\n", + "The code has run 55.5135 seconds.\n", + "Estimated remaining time: 56.9013 seconds\n", + "=======This is the 41 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.324026107788086 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 41168138702842.7 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 2.21382197 1.28597696 -4.14144562 -4.65459925]\n", + " [ 1.28597696 2.99191641 -2.40570629 -10.82925334]\n", + " [ -4.14144562 -2.40570629 7.74749375 8.70746447]\n", + " [ -4.65459925 -10.82925334 8.70746447 39.19652556]]\n", + "Trace: 52.14975768479293\n", + "Determinant: 6.782297953927814e-21\n", + "Condition number: 41152186377278.164\n", + "Minimal eigen value: 1.0976010191783274e-12\n", + "Eigen values: [4.51686817e+01 6.98107598e+00 1.09760102e-12 1.95826004e-11]\n", + "Eigen vectors: [[ 0.13169743 0.45265633 0.87760035 -0.08693655]\n", + " [ 0.25570165 -0.0743948 -0.09512941 -0.95919425]\n", + " [-0.24636935 -0.84679406 0.46912391 -0.04647215]\n", + " [-0.92551315 0.26927213 -0.02628249 -0.2650071 ]]\n", + "This is the 41 run out of 81 run.\n", + "The code has run 56.8406 seconds.\n", + "Estimated remaining time: 55.4542 seconds\n", + "=======This is the 42 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5078649520874023 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 215077561836700.75 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.70911196 1.06090078 -2.90661238 -3.49085078]\n", + " [ 1.06090078 2.09139389 -1.8042284 -6.88164462]\n", + " [-2.90661238 -1.8042284 4.94314928 5.93674001]\n", + " [-3.49085078 -6.88164462 5.93674001 22.64376544]]\n", + "Trace: 31.38742057163297\n", + "Determinant: 1.211200899404302e-22\n", + "Condition number: 217509062808743.06\n", + "Minimal eigen value: 1.2528445152515524e-13\n", + "Eigen values: [2.72505036e+01 4.13691694e+00 1.25284452e-13 8.48993070e-12]\n", + "Eigen vectors: [[-0.16721128 0.47850015 0.86175858 -0.02104833]\n", + " [-0.27449976 -0.09592374 -0.02354877 -0.95650547]\n", + " [ 0.28436903 -0.81376425 0.5067212 -0.01237646]\n", + " [ 0.90323005 0.31563269 -0.00715675 -0.29069068]]\n", + "This is the 42 run out of 81 run.\n", + "The code has run 58.3508 seconds.\n", + "Estimated remaining time: 54.1829 seconds\n", + "=======This is the 43 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.3849210739135742 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 411714811573923.56 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.36188297 0.89530828 -2.12308727 -2.70047739]\n", + " [ 0.89530828 1.49265055 -1.39572795 -4.50221251]\n", + " [-2.12308727 -1.39572795 3.30975542 4.20987033]\n", + " [-2.70047739 -4.50221251 4.20987033 13.57981439]]\n", + "Trace: 19.74410333335743\n", + "Determinant: 7.640852758703803e-24\n", + "Condition number: 410199689285125.5\n", + "Minimal eigen value: 4.2114602158539056e-14\n", + "Eigen values: [1.72753967e+01 2.46870661e+00 4.21146022e-14 4.31319594e-12]\n", + "Eigen vectors: [[ 2.08260428e-01 4.98145715e-01 8.41708495e-01 2.31779652e-03]\n", + " [ 2.90340727e-01 -1.21383294e-01 2.58385595e-03 -9.49189931e-01]\n", + " [-3.24664570e-01 -7.76576692e-01 5.39925364e-01 1.48693360e-03]\n", + " [-8.75741271e-01 3.66122362e-01 8.56570111e-04 -3.14691740e-01]]\n", + "This is the 43 run out of 81 run.\n", + "The code has run 59.7384 seconds.\n", + "Estimated remaining time: 52.7921 seconds\n", + "=======This is the 44 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4121510982513428 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 1075787668428671.1 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.09131476 0.72459222 -1.57042058 -2.01743491]\n", + " [ 0.72459222 1.02693604 -1.04270081 -2.85923066]\n", + " [-1.57042058 -1.04270081 2.25986203 2.90312393]\n", + " [-2.01743491 -2.85923066 2.90312393 7.96076839]]\n", + "Trace: 12.338881222383927\n", + "Determinant: 3.5540974659279856e-25\n", + "Condition number: 974809267609388.6\n", + "Minimal eigen value: 1.1146290487440619e-14\n", + "Eigen values: [1.08655073e+01 1.47337396e+00 1.11462905e-14 2.05789429e-12]\n", + "Eigen vectors: [[-0.25516386 0.51043383 0.8211149 0.01073989]\n", + " [-0.30235024 -0.15114385 0.0125035 -0.94105705]\n", + " [ 0.36718521 -0.73452279 0.57060828 0.00746348]\n", + " [ 0.84181397 0.42081958 0.00449074 -0.33799495]]\n", + "This is the 44 run out of 81 run.\n", + "The code has run 61.1539 seconds.\n", + "Estimated remaining time: 51.4248 seconds\n", + "=======This is the 45 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.6088638305664062 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 3292793152958638.5 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 0.85990141 0.54724058 -1.14902614 -1.41481481]\n", + " [ 0.54724058 0.66248141 -0.73123948 -1.71275385]\n", + " [-1.14902614 -0.73123948 1.53536331 1.89051849]\n", + " [-1.41481481 -1.71275385 1.89051849 4.42808767]]\n", + "Trace: 7.48583380118574\n", + "Determinant: 9.433523439230846e-27\n", + "Condition number: 3290582578512315.5\n", + "Minimal eigen value: 2.009077875200423e-15\n", + "Eigen values: [6.61103666e+00 8.74797146e-01 2.00907788e-15 7.53577191e-13]\n", + "Eigen vectors: [[-0.30847678 0.51365626 0.80040388 0.01815343]\n", + " [-0.30926344 -0.18572861 0.02188536 -0.93242361]\n", + " [ 0.41219601 -0.68636271 0.59900167 0.01358565]\n", + " [ 0.79955778 0.48017534 0.008465 -0.36065508]]\n", + "This is the 45 run out of 81 run.\n", + "The code has run 62.7652 seconds.\n", + "Estimated remaining time: 50.2122 seconds\n", + "=======This is the 46 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.0906169414520264 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 31974589233357.95 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 11.03853214 0.90189614 -34.41668867 -5.44066457]\n", + " [ 0.90189614 8.86815661 -2.8119865 -53.49718292]\n", + " [-34.41668867 -2.8119865 107.30670024 16.963234 ]\n", + " [ -5.44066457 -53.49718292 16.963234 322.72192581]]\n", + "Trace: 449.93531480218786\n", + "Determinant: 1.0928438774913943e-17\n", + "Condition number: 31950746665929.22\n", + "Minimal eigen value: 1.0425683516801004e-11\n", + "Eigen values: [1.16826942e+02 3.33108373e+02 1.04256835e-11 2.69573450e-11]\n", + "Eigen vectors: [[ 0.30433403 0.02558873 0.87142326 -0.3841487 ]\n", + " [-0.01370187 0.16296194 -0.39769202 -0.90269467]\n", + " [-0.94887345 -0.07978216 0.27949324 -0.12320888]\n", + " [ 0.08265733 -0.98306838 -0.06592484 -0.1496385 ]]\n", + "This is the 46 run out of 81 run.\n", + "The code has run 63.8589 seconds.\n", + "Estimated remaining time: 48.5883 seconds\n", + "=======This is the 47 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1055700778961182 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 51036712838143.23 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 7.88682105 3.89578705 -21.07720884 -20.14394719]\n", + " [ 3.89578705 15.17960315 -10.41133014 -78.48925471]\n", + " [-21.07720884 -10.41133014 56.32798436 53.83386769]\n", + " [-20.14394719 -78.48925471 53.83386769 405.84480653]]\n", + "Trace: 485.2392150846087\n", + "Determinant: 7.115027645064233e-18\n", + "Condition number: 51024112428436.05\n", + "Minimal eigen value: 8.43492668840288e-12\n", + "Eigen values: [4.30384648e+02 5.48545674e+01 8.43492669e-12 3.57222033e-11]\n", + "Eigen vectors: [[ 0.05532922 -0.34606073 -0.93271341 -0.08520167]\n", + " [ 0.18749751 0.02997747 0.08911315 -0.97773649]\n", + " [-0.14786507 0.92483327 -0.34900936 -0.03188157]\n", + " [-0.96949434 -0.15500565 0.01723422 -0.18909149]]\n", + "This is the 47 run out of 81 run.\n", + "The code has run 64.9674 seconds.\n", + "Estimated remaining time: 46.9977 seconds\n", + "=======This is the 48 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4113216400146484 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 81319600366152.22 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 5.64314734 3.28396341 -13.19594896 -14.85787222]\n", + " [ 3.28396341 10.57931155 -7.67922937 -47.86476702]\n", + " [-13.19594896 -7.67922937 30.85743794 34.74369055]\n", + " [-14.85787222 -47.86476702 34.74369055 216.5581296 ]]\n", + "Trace: 263.63802644063105\n", + "Determinant: 9.50072449703477e-19\n", + "Condition number: 81635411936970.39\n", + "Minimal eigen value: 2.8749028612588234e-12\n", + "Eigen values: [2.34693879e+02 2.89441471e+01 2.87490286e-12 4.86098393e-11]\n", + "Eigen vectors: [[ 0.07535284 -0.38590965 -0.91017257 -0.13033018]\n", + " [ 0.21181621 0.04135916 0.13838921 -0.96657479]\n", + " [-0.1762053 0.90241198 -0.38922838 -0.05573487]\n", + " [-0.95833582 -0.18712503 0.03058749 -0.21363719]]\n", + "This is the 48 run out of 81 run.\n", + "The code has run 66.3814 seconds.\n", + "Estimated remaining time: 45.6372 seconds\n", + "=======This is the 49 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.296360969543457 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 112902746594243.67 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 4.06106212 2.30517333 -8.44124245 -9.27064435]\n", + " [ 2.30517333 6.28732256 -4.79148862 -25.28553636]\n", + " [ -8.44124245 -4.79148862 17.54579762 19.26978176]\n", + " [ -9.27064435 -25.28553636 19.26978176 101.69008237]]\n", + "Trace: 129.5842646631724\n", + "Determinant: 1.1708299674237567e-19\n", + "Condition number: 112794226569740.42\n", + "Minimal eigen value: 1.004255155733207e-12\n", + "Eigen values: [1.13274184e+02 1.63100811e+01 1.00425516e-12 6.32476050e-11]\n", + "Eigen vectors: [[-0.1013268 -0.4215274 -0.89918031 -0.05936375]\n", + " [-0.23462172 0.05639834 0.06391387 -0.96834129]\n", + " [ 0.21061591 0.87617833 -0.43259359 -0.02855984]\n", + " [ 0.94357112 -0.2268158 0.0158924 -0.24078088]]\n", + "This is the 49 run out of 81 run.\n", + "The code has run 67.6807 seconds.\n", + "Estimated remaining time: 44.1996 seconds\n", + "=======This is the 50 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.325160026550293 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 103712614163112.97 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 3.01325686 1.75035695 -5.63696653 -6.33542423]\n", + " [ 1.75035695 4.07233069 -3.27443307 -14.73981654]\n", + " [ -5.63696653 -3.27443307 10.54519851 11.85182409]\n", + " [ -6.33542423 -14.73981654 11.85182409 53.35082243]]\n", + "Trace: 70.98160848723539\n", + "Determinant: 9.694114480774225e-21\n", + "Condition number: 103856509470543.8\n", + "Minimal eigen value: 5.919666386365361e-13\n", + "Eigen values: [6.14795888e+01 9.50201968e+00 5.91966639e-13 2.79787160e-11]\n", + "Eigen vectors: [[-0.13169739 0.45265632 0.88155488 -0.02486264]\n", + " [-0.25570167 -0.07439479 -0.02719341 -0.96350592]\n", + " [ 0.24636932 -0.84679408 0.4712378 -0.01329036]\n", + " [ 0.92551316 0.26927209 -0.00751308 -0.26619835]]\n", + "This is the 50 run out of 81 run.\n", + "The code has run 69.0090 seconds.\n", + "Estimated remaining time: 42.7856 seconds\n", + "=======This is the 51 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4925920963287354 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 212784363115282.97 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 2.32629127 1.44400384 -3.9562224 -4.75143577]\n", + " [ 1.44400384 2.84661946 -2.45575531 -9.36668296]\n", + " [-3.9562224 -2.45575531 6.72817539 8.08056277]\n", + " [-4.75143577 -9.36668296 8.08056277 30.82068074]]\n", + "Trace: 42.721766870102954\n", + "Determinant: 4.179267542624099e-22\n", + "Condition number: 214690946368747.94\n", + "Minimal eigen value: 1.727644499867642e-13\n", + "Eigen values: [3.70909633e+01 5.63080360e+00 1.72764450e-13 1.15583170e-11]\n", + "Eigen vectors: [[ 0.16721128 0.47850015 0.86177001 -0.02106801]\n", + " [ 0.27449976 -0.09592374 -0.02302804 -0.95650494]\n", + " [-0.28436903 -0.81376425 0.50672792 -0.01238804]\n", + " [-0.90323005 0.31563268 -0.00699849 -0.29069051]]\n", + "This is the 51 run out of 81 run.\n", + "The code has run 70.5050 seconds.\n", + "Estimated remaining time: 41.4735 seconds\n", + "=======This is the 52 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.393301010131836 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 246734353972071.12 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.85367477 1.21861481 -2.88975859 -3.67565133]\n", + " [ 1.21861481 2.03166404 -1.89974177 -6.12801304]\n", + " [-2.88975859 -1.89974177 4.504946 5.73010301]\n", + " [-3.67565133 -6.12801304 5.73010301 18.48363859]]\n", + "Trace: 26.873923395556673\n", + "Determinant: 4.646316941686013e-23\n", + "Condition number: 252112329906528.5\n", + "Minimal eigen value: 9.326691473955586e-14\n", + "Eigen values: [2.35137392e+01 3.36018422e+00 9.32669147e-14 6.25418204e-12]\n", + "Eigen vectors: [[-0.20826048 0.49814571 0.84155868 -0.01601416]\n", + " [-0.29034076 -0.12138329 -0.01809278 -0.94902171]\n", + " [ 0.32466461 -0.77657666 0.53982929 -0.01027239]\n", + " [ 0.87574123 0.36612243 -0.00599849 -0.314636 ]]\n", + "This is the 52 run out of 81 run.\n", + "The code has run 71.9012 seconds.\n", + "Estimated remaining time: 40.0987 seconds\n", + "=======This is the 53 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.422379732131958 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 838120763006961.4 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.48540048 0.98625036 -2.1375167 -2.74595278]\n", + " [ 0.98625036 1.3977739 -1.41923146 -3.89173033]\n", + " [-2.1375167 -1.41923146 3.07592307 3.9514739 ]\n", + " [-2.74595278 -3.89173033 3.9514739 10.83548987]]\n", + "Trace: 16.79458733073986\n", + "Determinant: 1.4793483536085062e-24\n", + "Condition number: 818796459099663.4\n", + "Minimal eigen value: 1.8062073350908428e-14\n", + "Eigen values: [1.47891617e+01 2.00542563e+00 1.80620734e-14 2.79228735e-12]\n", + "Eigen vectors: [[-0.25516385 0.51043383 0.82111908 0.01033918]\n", + " [-0.30235023 -0.15114386 0.01213776 -0.94106294]\n", + " [ 0.3671852 -0.7345228 0.57061118 0.00718504]\n", + " [ 0.84181398 0.42081956 0.00435937 -0.33799706]]\n", + "This is the 53 run out of 81 run.\n", + "The code has run 73.3265 seconds.\n", + "Estimated remaining time: 38.7386 seconds\n", + "=======This is the 54 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5763657093048096 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 199614174489461.0 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.17042137 0.74485523 -1.56395223 -1.92572016]\n", + " [ 0.74485523 0.90171079 -0.99529815 -2.33124828]\n", + " [-1.56395223 -0.99529815 2.08980001 2.57320568]\n", + " [-1.92572016 -2.33124828 2.57320568 6.02711932]]\n", + "Trace: 10.1890514898748\n", + "Determinant: 4.959171063805354e-25\n", + "Condition number: 201900942236124.38\n", + "Minimal eigen value: 4.45681693287922e-14\n", + "Eigen values: [8.99835538e+00 1.19069611e+00 4.45681693e-14 1.03320493e-12]\n", + "Eigen vectors: [[-0.30847678 0.51365626 0.7998801 0.03365298]\n", + " [-0.30926344 -0.18572861 0.04020506 -0.93183911]\n", + " [ 0.412196 -0.68636272 0.59860968 0.02518512]\n", + " [ 0.79955779 0.48017534 0.01555094 -0.360429 ]]\n", + "This is the 54 run out of 81 run.\n", + "The code has run 74.9055 seconds.\n", + "Estimated remaining time: 37.4528 seconds\n", + "=======This is the 55 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.130354881286621 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 31991496514087.72 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 14.41767463 1.1779868 -44.9524097 -7.10617413]\n", + " [ 1.1779868 11.58289843 -3.67279869 -69.87387157]\n", + " [-44.9524097 -3.67279869 140.15569011 22.15606074]\n", + " [ -7.10617413 -69.87387157 22.15606074 421.51435207]]\n", + "Trace: 587.6706152454356\n", + "Determinant: 3.177844438240962e-17\n", + "Condition number: 31972784813593.0\n", + "Minimal eigen value: 1.3607833232875797e-11\n", + "Eigen values: [1.52590292e+02 4.35080324e+02 1.36078332e-11 3.51706483e-11]\n", + "Eigen vectors: [[ 0.30433403 0.02558873 0.87139794 -0.38418694]\n", + " [-0.01370187 0.16296194 -0.39775158 -0.9026772 ]\n", + " [-0.94887345 -0.07978216 0.27948511 -0.12322115]\n", + " [ 0.08265733 -0.98306838 -0.06593471 -0.1496356 ]]\n", + "This is the 55 run out of 81 run.\n", + "The code has run 76.0386 seconds.\n", + "Estimated remaining time: 35.9455 seconds\n", + "=======This is the 56 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.128141164779663 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 51023680020910.5 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 10.30115402 5.08837492 -27.52941563 -26.31046163]\n", + " [ 5.08837492 19.82642044 -13.59847203 -102.51657757]\n", + " [ -27.52941563 -13.59847203 73.57124488 70.3136231 ]\n", + " [ -26.31046163 -102.51657757 70.3136231 530.0830126 ]]\n", + "Trace: 633.7818319431226\n", + "Determinant: 2.0704407802109134e-17\n", + "Condition number: 51029716440996.0\n", + "Minimal eigen value: 1.1015837226331646e-11\n", + "Eigen values: [5.62135050e+02 7.16467819e+01 1.10158372e-11 4.66421776e-11]\n", + "Eigen vectors: [[ 0.05532922 -0.34606073 -0.93268803 -0.08529488]\n", + " [ 0.18749751 0.02997747 0.0894045 -0.97772756]\n", + " [-0.14786507 0.92483327 -0.34899986 -0.03191645]\n", + " [-0.96949434 -0.15500565 0.01729057 -0.18908976]]\n", + "This is the 56 run out of 81 run.\n", + "The code has run 77.1696 seconds.\n", + "Estimated remaining time: 34.4507 seconds\n", + "=======This is the 57 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.4076740741729736 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 84049708490003.67 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 7.37064143 4.28925834 -17.23552531 -19.40620044]\n", + " [ 4.28925834 13.81787628 -10.03001425 -62.51724657]\n", + " [-17.23552531 -10.03001425 40.30359305 45.3795159 ]\n", + " [-19.40620044 -62.51724657 45.3795159 282.85143392]]\n", + "Trace: 344.3435446762198\n", + "Determinant: 2.6674131494984245e-18\n", + "Condition number: 84078203416734.73\n", + "Minimal eigen value: 3.6458788600059765e-12\n", + "Eigen values: [3.06538944e+02 3.78046003e+01 3.64587886e-12 6.31134767e-11]\n", + "Eigen vectors: [[-0.07535284 -0.38590965 -0.91311868 -0.10766677]\n", + " [-0.21181621 0.04135916 0.114427 -0.96971639]\n", + " [ 0.1762053 0.90241198 -0.39048827 -0.04604304]\n", + " [ 0.95833582 -0.18712504 0.02529125 -0.21433157]]\n", + "This is the 57 run out of 81 run.\n", + "The code has run 78.5798 seconds.\n", + "Estimated remaining time: 33.0862 seconds\n", + "=======This is the 58 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3124737739562988 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 114757221247789.86 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 5.30424442 3.01083865 -11.02529609 -12.10859676]\n", + " [ 3.01083865 8.21201314 -6.25827054 -33.02600666]\n", + " [-11.02529609 -6.25827054 22.91695939 25.16869327]\n", + " [-12.10859676 -33.02600666 25.16869327 132.81969935]]\n", + "Trace: 169.25291630455848\n", + "Determinant: 3.3686134293265003e-19\n", + "Condition number: 114858519413992.42\n", + "Minimal eigen value: 1.2881060471447405e-12\n", + "Eigen values: [1.47949953e+02 2.13029629e+01 1.28810605e-12 8.26047341e-11]\n", + "Eigen vectors: [[ 0.1013268 -0.4215274 -0.89923768 -0.05841017]\n", + " [ 0.23462172 0.05639834 0.06297093 -0.96840854]\n", + " [-0.2106159 0.87617833 -0.43262119 -0.02810107]\n", + " [-0.94357113 -0.22681579 0.01565793 -0.2407976 ]]\n", + "This is the 58 run out of 81 run.\n", + "The code has run 79.8954 seconds.\n", + "Estimated remaining time: 31.6826 seconds\n", + "=======This is the 59 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3187329769134521 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 124301760159173.05 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 3.93568358 2.28618132 -7.36257009 -8.27484329]\n", + " [ 2.28618132 5.3189625 -4.2768112 -19.25200589]\n", + " [ -7.36257009 -4.2768112 13.77332226 15.47993684]\n", + " [ -8.27484329 -19.25200589 15.47993684 69.68271177]]\n", + "Trace: 92.71068011149625\n", + "Determinant: 2.3389608185153297e-20\n", + "Condition number: 124994583813514.16\n", + "Minimal eigen value: 6.424268627154211e-13\n", + "Eigen values: [8.02998783e+01 1.24108018e+01 6.42426863e-13 3.63300951e-11]\n", + "Eigen vectors: [[-0.13169743 0.45265633 0.8796837 -0.06250468]\n", + " [-0.25570165 -0.0743948 -0.0683832 -0.96146509]\n", + " [ 0.24636935 -0.84679406 0.47023757 -0.03341202]\n", + " [ 0.92551315 0.26927214 -0.01889302 -0.2656345 ]]\n", + "This is the 59 run out of 81 run.\n", + "The code has run 81.2170 seconds.\n", + "Estimated remaining time: 30.2843 seconds\n", + "=======This is the 60 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4856178760528564 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 215561259094702.06 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 3.03842126 1.88604583 -5.16731089 -6.20595694]\n", + " [ 1.88604583 3.71803359 -3.20751713 -12.23403489]\n", + " [ -5.16731089 -3.20751713 8.78782089 10.55420439]\n", + " [ -6.20595694 -12.23403489 10.55420439 40.25558301]]\n", + "Trace: 55.79985874329278\n", + "Determinant: 1.2114410595591407e-21\n", + "Condition number: 215552435345182.97\n", + "Minimal eigen value: 2.2474967485322031e-13\n", + "Eigen values: [4.84453398e+01 7.35451899e+00 2.24749675e-13 1.50950314e-11]\n", + "Eigen vectors: [[-0.16721128 0.47850015 0.86175307 -0.02140911]\n", + " [-0.27449976 -0.09592374 -0.02379611 -0.95649561]\n", + " [ 0.28436902 -0.81376425 0.50671796 -0.01258861]\n", + " [ 0.90323005 0.31563268 -0.00723191 -0.29068768]]\n", + "This is the 60 run out of 81 run.\n", + "The code has run 82.7058 seconds.\n", + "Estimated remaining time: 28.9470 seconds\n", + "=======This is the 61 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.382962942123413 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 75983175842912.4 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 2.42112523 1.59165997 -3.77437813 -4.80084861]\n", + " [ 1.59165997 2.65360275 -2.48129628 -8.003936 ]\n", + " [-3.77437813 -2.48129628 5.88401215 7.48421652]\n", + " [-4.80084861 -8.003936 7.48421652 24.14189218]]\n", + "Trace: 35.100632318538985\n", + "Determinant: 5.280570247325311e-22\n", + "Condition number: 75918297593793.3\n", + "Minimal eigen value: 4.0453778774305635e-13\n", + "Eigen values: [3.07118202e+01 4.38881216e+00 4.04537788e-13 9.67958453e-12]\n", + "Eigen vectors: [[-0.20826042 0.49814566 0.83726588 0.08640606]\n", + " [-0.29034081 -0.12138325 0.09742885 -0.94417892]\n", + " [ 0.32466467 -0.77657669 0.53707551 0.05542636]\n", + " [ 0.87574121 0.36612246 0.03230118 -0.31303048]]\n", + "This is the 61 run out of 81 run.\n", + "The code has run 84.0915 seconds.\n", + "Estimated remaining time: 27.5710 seconds\n", + "=======This is the 62 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.434234857559204 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 158233888351822.9 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.94011537 1.28816394 -2.79185906 -3.58655127]\n", + " [ 1.28816394 1.82566385 -1.85369024 -5.08307643]\n", + " [-2.79185906 -1.85369024 4.01753274 5.16110944]\n", + " [-3.58655127 -5.08307643 5.16110944 14.15247714]]\n", + "Trace: 21.93578910141312\n", + "Determinant: 2.251102158204349e-23\n", + "Condition number: 155072612764980.72\n", + "Minimal eigen value: 1.2456395227807508e-13\n", + "Eigen values: [1.93164575e+01 2.61933157e+00 1.24563952e-13 3.62072807e-12]\n", + "Eigen vectors: [[-0.25516389 0.51043383 0.82110513 0.01208236]\n", + " [-0.30235022 -0.15114387 0.01331919 -0.94103567]\n", + " [ 0.36718523 -0.73452277 0.5706015 0.00839642]\n", + " [ 0.84181396 0.4208196 0.00478371 -0.33798726]]\n", + "This is the 62 run out of 81 run.\n", + "The code has run 85.5285 seconds.\n", + "Estimated remaining time: 26.2104 seconds\n", + "=======This is the 63 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5922040939331055 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 272808132159177.62 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.52871362 0.97287215 -2.04271314 -2.51522632]\n", + " [ 0.97287215 1.17774473 -1.2999813 -3.04489574]\n", + " [-2.04271314 -1.2999813 2.72953478 3.36092176]\n", + " [-2.51522632 -3.04489574 3.36092176 7.87215585]]\n", + "Trace: 13.308148972982796\n", + "Determinant: 1.056493715921064e-24\n", + "Condition number: 273407313922069.4\n", + "Minimal eigen value: 4.298697748326271e-14\n", + "Eigen values: [1.17529540e+01 1.55519493e+00 4.29869775e-14 1.33975800e-12]\n", + "Eigen vectors: [[-0.30847678 0.51365626 0.80040364 0.01925145]\n", + " [-0.30926344 -0.18572861 0.02189742 -0.93239373]\n", + " [ 0.41219601 -0.68636272 0.59900148 0.01440738]\n", + " [ 0.79955778 0.48017534 0.00846967 -0.36064352]]\n", + "This is the 63 run out of 81 run.\n", + "The code has run 87.1236 seconds.\n", + "Estimated remaining time: 24.8925 seconds\n", + "=======This is the 64 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.1038150787353516 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 31962639199564.137 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 18.24736945 1.49088954 -56.89289352 -8.99375163]\n", + " [ 1.49088954 14.65960583 -4.64838584 -88.43411871]\n", + " [-56.89289352 -4.64838584 177.3845453 28.04126437]\n", + " [ -8.99375163 -88.43411871 28.04126437 533.47910183]]\n", + "Trace: 743.7706224135975\n", + "Determinant: 8.154251274460275e-17\n", + "Condition number: 31956326451658.17\n", + "Minimal eigen value: 1.7231283938455177e-11\n", + "Eigen values: [1.93122088e+02 5.50648535e+02 1.72312839e-11 4.44900157e-11]\n", + "Eigen vectors: [[ 0.30433403 0.02558873 0.87168401 -0.38461806]\n", + " [-0.01370187 0.16296194 -0.3970782 -0.90248012]\n", + " [-0.94887345 -0.07978216 0.27957687 -0.12335942]\n", + " [ 0.08265733 -0.98306838 -0.06582308 -0.14960293]]\n", + "This is the 64 run out of 81 run.\n", + "The code has run 88.2301 seconds.\n", + "Estimated remaining time: 23.4361 seconds\n", + "=======This is the 65 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1327991485595703 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 51058262760072.85 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 13.03739806 6.43997451 -34.84191666 -33.29917801]\n", + " [ 6.43997451 25.09281337 -17.21056616 -129.74754349]\n", + " [ -34.84191666 -17.21056616 93.1136068 88.99067924]\n", + " [ -33.29917801 -129.74754349 88.99067924 670.88631282]]\n", + "Trace: 802.130131053093\n", + "Determinant: 5.313216735608404e-17\n", + "Condition number: 51008976951749.46\n", + "Minimal eigen value: 1.3947587565899942e-11\n", + "Eigen values: [7.11452173e+02 9.06779584e+01 1.39475876e-11 5.89886682e-11]\n", + "Eigen vectors: [[-0.05532922 -0.34606073 -0.93264651 -0.08537116]\n", + " [-0.18749751 0.02997747 0.08987927 -0.97772025]\n", + " [ 0.14786507 0.92483327 -0.34898432 -0.03194499]\n", + " [ 0.96949434 -0.15500565 0.01738238 -0.18908835]]\n", + "This is the 65 run out of 81 run.\n", + "The code has run 89.3660 seconds.\n", + "Estimated remaining time: 21.9978 seconds\n", + "=======This is the 66 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4285500049591064 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 84218709787528.31 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 9.32846806 5.42859258 -21.81371171 -24.5609743 ]\n", + " [ 5.42859258 17.48824961 -12.69423675 -79.12339422]\n", + " [-21.81371171 -12.69423675 51.00923491 57.43345404]\n", + " [-24.5609743 -79.12339422 57.43345404 357.98388356]]\n", + "Trace: 435.80983614113256\n", + "Determinant: 6.8933831415213056e-18\n", + "Condition number: 83759583347543.08\n", + "Minimal eigen value: 4.631868662708731e-12\n", + "Eigen values: [3.87963389e+02 4.78464468e+01 4.63186866e-12 8.03417991e-11]\n", + "Eigen vectors: [[-0.07535284 -0.38590965 -0.91316967 -0.10731948]\n", + " [-0.2118162 0.04135917 0.11396715 -0.96975981]\n", + " [ 0.1762053 0.90241198 -0.39051008 -0.04589451]\n", + " [ 0.95833582 -0.18712503 0.02518961 -0.21434115]]\n", + "This is the 66 run out of 81 run.\n", + "The code has run 90.7971 seconds.\n", + "Estimated remaining time: 20.6357 seconds\n", + "=======This is the 67 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3093760013580322 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 112747813399580.8 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 6.71318434 3.81059266 -13.95389062 -15.32494278]\n", + " [ 3.81059266 10.39332913 -7.92062409 -41.79853968]\n", + " [-13.95389062 -7.92062409 29.00427777 31.85412917]\n", + " [-15.32494278 -41.79853968 31.85412917 168.09993199]]\n", + "Trace: 214.2107232401503\n", + "Determinant: 8.749158610990202e-19\n", + "Condition number: 113108801624300.81\n", + "Minimal eigen value: 1.6554782466480666e-12\n", + "Eigen values: [1.87249161e+02 2.69615626e+01 1.65547825e-12 1.04563599e-10]\n", + "Eigen vectors: [[-0.1013268 -0.4215274 -0.89917855 -0.05935427]\n", + " [-0.23462172 0.05639834 0.06394259 -0.96834196]\n", + " [ 0.21061591 0.87617833 -0.43259274 -0.02855528]\n", + " [ 0.94357112 -0.2268158 0.01589954 -0.24078104]]\n", + "This is the 67 run out of 81 run.\n", + "The code has run 92.1093 seconds.\n", + "Estimated remaining time: 19.2467 seconds\n", + "=======This is the 68 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.328545093536377 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 148546079396576.28 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 4.98109955 2.89344825 -9.3182529 -10.4728487 ]\n", + " [ 2.89344825 6.73181192 -5.41283934 -24.36582013]\n", + " [ -9.3182529 -5.41283934 17.4318614 19.59179585]\n", + " [-10.4728487 -24.36582013 19.59179585 88.19218319]]\n", + "Trace: 117.33695607656173\n", + "Determinant: 4.915720828493332e-20\n", + "Condition number: 147948332622647.1\n", + "Minimal eigen value: 6.869258558332589e-13\n", + "Eigen values: [1.01629535e+02 1.57074211e+01 6.86925856e-13 4.50211338e-11]\n", + "Eigen vectors: [[ 0.13169743 0.45265633 0.88064016 -0.04726196]\n", + " [ 0.25570165 -0.07439481 -0.05162379 -0.96250392]\n", + " [-0.24636936 -0.84679406 0.47074885 -0.02526398]\n", + " [-0.92551315 0.26927214 -0.01426272 -0.2659215 ]]\n", + "This is the 68 run out of 81 run.\n", + "The code has run 93.4411 seconds.\n", + "Estimated remaining time: 17.8637 seconds\n", + "=======This is the 69 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4952011108398438 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 211738296361125.62 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 3.84550191 2.38702676 -6.53987787 -7.85441426]\n", + " [ 2.38702676 4.70563626 -4.0595139 -15.48370042]\n", + " [ -6.53987787 -4.0595139 11.1220859 13.35766504]\n", + " [ -7.85441426 -15.48370042 13.35766504 50.94847228]]\n", + "Trace: 70.62169635188333\n", + "Determinant: 3.1279403717729433e-21\n", + "Condition number: 212684972288863.9\n", + "Minimal eigen value: 2.882838057698314e-13\n", + "Eigen values: [6.13136332e+01 9.30806311e+00 2.88283806e-13 1.91055807e-11]\n", + "Eigen vectors: [[-0.16721128 0.47850015 0.86176721 -0.02097565]\n", + " [-0.27449976 -0.09592374 -0.02315643 -0.95650744]\n", + " [ 0.28436903 -0.81376424 0.50672628 -0.01233373]\n", + " [ 0.90323005 0.31563269 -0.00703751 -0.29069127]]\n", + "This is the 69 run out of 81 run.\n", + "The code has run 94.9389 seconds.\n", + "Estimated remaining time: 16.5111 seconds\n", + "=======This is the 70 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4562408924102783 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 426529684720760.1 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 3.06423669 2.01444364 -4.77694635 -6.07607413]\n", + " [ 2.01444364 3.35846374 -3.14038788 -10.12997813]\n", + " [ -4.77694635 -3.14038788 7.44694969 9.47220823]\n", + " [ -6.07607413 -10.12997813 9.47220823 30.55458236]]\n", + "Trace: 44.424232478996274\n", + "Determinant: 1.9517826806362792e-22\n", + "Condition number: 418211321394731.75\n", + "Minimal eigen value: 9.294258813636451e-14\n", + "Eigen values: [3.88696426e+01 5.55458988e+00 9.29425881e-14 9.70166825e-12]\n", + "Eigen vectors: [[-2.08260428e-01 4.98145715e-01 8.41709230e-01 2.27013447e-03]\n", + " [-2.90340727e-01 -1.21383294e-01 2.25909374e-03 -9.49190078e-01]\n", + " [ 3.24664570e-01 -7.76576692e-01 5.39925835e-01 1.45636011e-03]\n", + " [ 8.75741271e-01 3.66122362e-01 7.48899391e-04 -3.14691789e-01]]\n", + "This is the 70 run out of 81 run.\n", + "The code has run 96.3978 seconds.\n", + "Estimated remaining time: 15.1482 seconds\n", + "=======This is the 71 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.4510412216186523 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 273590817356137.3 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 2.45545822 1.6303325 -3.5334464 -4.53922866]\n", + " [ 1.6303325 2.31060609 -2.34607691 -6.43326909]\n", + " [-3.5334464 -2.34607691 5.08468985 6.53202925]\n", + " [-4.53922866 -6.43326909 6.53202925 17.91172941]]\n", + "Trace: 27.762483568972993\n", + "Determinant: 3.3670681078681476e-23\n", + "Condition number: 272780586018409.44\n", + "Minimal eigen value: 8.962291820801459e-14\n", + "Eigen values: [2.44473921e+01 3.31509142e+00 8.96229182e-14 4.63687877e-12]\n", + "Eigen vectors: [[-0.25516386 0.51043382 0.82116094 0.0064625 ]\n", + " [-0.30235024 -0.15114386 0.00755287 -0.9411084 ]\n", + " [ 0.36718522 -0.73452279 0.57064026 0.00449105]\n", + " [ 0.84181396 0.42081958 0.00271264 -0.33801339]]\n", + "This is the 71 run out of 81 run.\n", + "The code has run 97.8519 seconds.\n", + "Estimated remaining time: 13.7820 seconds\n", + "=======This is the 72 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.59647798538208 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 2943260803213298.5 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 1.93477818 1.23129131 -2.58530883 -3.18333332]\n", + " [ 1.23129131 1.49058317 -1.64528883 -3.85369617]\n", + " [-2.58530883 -1.64528883 3.45456746 4.25366661]\n", + " [-3.18333332 -3.85369617 4.25366661 9.96319724]]\n", + "Trace: 16.84312604994938\n", + "Determinant: 2.7302829564266073e-25\n", + "Condition number: 2917725353267471.0\n", + "Minimal eigen value: 5.0980920645322185e-15\n", + "Eigen values: [1.48748325e+01 1.96829358e+00 5.09809206e-15 1.69518452e-12]\n", + "Eigen vectors: [[ 0.30847678 0.51365626 0.8004142 0.01866815]\n", + " [ 0.30926344 -0.18572861 0.02136736 -0.93240982]\n", + " [-0.41219601 -0.68636271 0.59900939 0.01397085]\n", + " [-0.79955778 0.48017534 0.00826465 -0.36064975]]\n", + "This is the 72 run out of 81 run.\n", + "The code has run 99.4509 seconds.\n", + "Estimated remaining time: 12.4314 seconds\n", + "=======This is the 73 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1028211116790771 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 31981968780892.37 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 22.52761661 1.84060437 -70.23814015 -11.10339707]\n", + " [ 1.84060437 18.0982788 -5.73874795 -109.17792433]\n", + " [ -70.23814015 -5.73874795 218.9932658 34.6188449 ]\n", + " [ -11.10339707 -109.17792433 34.6188449 658.61617509]]\n", + "Trace: 918.2353363068676\n", + "Determinant: 1.893092363420347e-16\n", + "Condition number: 31980275801786.54\n", + "Minimal eigen value: 2.1257259006508354e-11\n", + "Eigen values: [2.38422330e+02 6.79813006e+02 2.12572590e-11 5.49434239e-11]\n", + "Eigen vectors: [[ 0.30433403 0.02558873 0.87144547 -0.38460604]\n", + " [-0.01370187 0.16296194 -0.39763978 -0.90248561]\n", + " [-0.94887345 -0.07978216 0.27950036 -0.12335557]\n", + " [ 0.08265733 -0.98306838 -0.06591618 -0.14960385]]\n", + "This is the 73 run out of 81 run.\n", + "The code has run 100.5565 seconds.\n", + "Estimated remaining time: 11.0199 seconds\n", + "=======This is the 74 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.1145460605621338 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 51046399799797.01 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 16.09555316 7.95058582 -43.01471192 -41.1100963 ]\n", + " [ 7.95058582 30.97878194 -21.24761254 -160.18215246]\n", + " [ -43.01471192 -21.24761254 114.95507012 109.8650361 ]\n", + " [ -41.1100963 -160.18215246 109.8650361 828.25470719]]\n", + "Trace: 990.2841124113379\n", + "Determinant: 1.2337241276382214e-16\n", + "Condition number: 51008356781855.555\n", + "Minimal eigen value: 1.7219453263562207e-11\n", + "Eigen values: [8.78336016e+02 1.11948097e+02 1.72194533e-11 7.28649438e-11]\n", + "Eigen vectors: [[ 0.05532922 -0.34606073 -0.93265905 -0.08511799]\n", + " [ 0.18749751 0.02997747 0.08973618 -0.9777445 ]\n", + " [-0.14786507 0.92483327 -0.34898902 -0.03185026]\n", + " [-0.96949434 -0.15500565 0.01735471 -0.18909304]]\n", + "This is the 74 run out of 81 run.\n", + "The code has run 101.6741 seconds.\n", + "Estimated remaining time: 9.6178 seconds\n", + "=======This is the 75 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.412053108215332 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 84054012326121.77 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 11.51662721 6.70196612 -26.93050823 -30.32218806]\n", + " [ 6.70196612 21.59043167 -15.67189717 -97.68319769]\n", + " [-26.93050823 -15.67189717 62.97436396 70.9054932 ]\n", + " [-30.32218806 -97.68319769 70.9054932 441.95536514]]\n", + "Trace: 538.0367879830014\n", + "Determinant: 1.5911022402635216e-17\n", + "Condition number: 83873584344465.7\n", + "Minimal eigen value: 5.710583420100146e-12\n", + "Eigen values: [4.78967100e+02 5.90696878e+01 5.71058342e-12 9.86193103e-11]\n", + "Eigen vectors: [[-0.07535284 -0.38590965 -0.91313067 -0.10780064]\n", + " [-0.21181621 0.04135916 0.1143191 -0.96969962]\n", + " [ 0.1762053 0.90241198 -0.39049339 -0.04610029]\n", + " [ 0.95833582 -0.18712504 0.0252674 -0.21432786]]\n", + "This is the 75 run out of 81 run.\n", + "The code has run 103.0886 seconds.\n", + "Estimated remaining time: 8.2471 seconds\n", + "=======This is the 76 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3065447807312012 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 114405515851254.39 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 8.28788215 4.7044356 -17.22702571 -18.91968316]\n", + " [ 4.7044356 12.83127053 -9.77854825 -51.6031352 ]\n", + " [-17.22702571 -9.77854825 35.80775034 39.32608514]\n", + " [-18.91968316 -51.6031352 39.32608514 207.53077853]]\n", + "Trace: 264.45768154897604\n", + "Determinant: 2.0062472748928485e-18\n", + "Condition number: 114528540474665.75\n", + "Minimal eigen value: 2.0184645738853997e-12\n", + "Eigen values: [2.31171802e+02 3.32858799e+01 2.01846457e-12 1.28997432e-10]\n", + "Eigen vectors: [[-0.1013268 -0.4215274 -0.89925567 -0.05827802]\n", + " [-0.23462172 0.05639834 0.06267214 -0.96841777]\n", + " [ 0.21061591 0.87617833 -0.43262985 -0.0280375 ]\n", + " [ 0.94357112 -0.22681581 0.01558364 -0.2407999 ]]\n", + "This is the 76 run out of 81 run.\n", + "The code has run 104.3982 seconds.\n", + "Estimated remaining time: 6.8683 seconds\n", + "=======This is the 77 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.3131518363952637 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 148100210411991.78 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 6.14950562 3.57215834 -11.50401592 -12.92944284]\n", + " [ 3.57215834 8.31087892 -6.6825177 -30.08125942]\n", + " [-11.50401592 -6.6825177 21.52081655 24.18740228]\n", + " [-12.92944284 -30.08125942 24.18740228 108.87923851]]\n", + "Trace: 144.8604396033519\n", + "Determinant: 1.142348035150912e-19\n", + "Condition number: 147923389697389.94\n", + "Minimal eigen value: 8.481996119388369e-13\n", + "Eigen values: [1.25468562e+02 1.93918779e+01 8.48199612e-13 5.55766612e-11]\n", + "Eigen vectors: [[ 0.13169743 0.45265633 0.88063823 -0.04726882]\n", + " [ 0.25570165 -0.07439481 -0.05166297 -0.96250352]\n", + " [-0.24636936 -0.84679406 0.47074782 -0.02526764]\n", + " [-0.92551315 0.26927214 -0.01427354 -0.26592139]]\n", + "This is the 77 run out of 81 run.\n", + "The code has run 105.7144 seconds.\n", + "Estimated remaining time: 5.4917 seconds\n", + "=======This is the 78 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This run takes wall clock time: 1.4957077503204346 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 216982360867551.38 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 4.74753322 2.94694662 -8.0739233 -9.69680773]\n", + " [ 2.94694662 5.80942748 -5.01174556 -19.11567953]\n", + " [ -8.0739233 -5.01174556 13.73097024 16.4909445 ]\n", + " [ -9.69680773 -19.11567953 16.4909445 62.8993485 ]]\n", + "Trace: 87.18727944939067\n", + "Determinant: 7.249523529159483e-21\n", + "Condition number: 214555701517572.3\n", + "Minimal eigen value: 3.528027592607731e-13\n", + "Eigen values: [7.56958435e+01 1.14914359e+01 3.52802759e-13 2.35860894e-11]\n", + "Eigen vectors: [[-0.16721128 0.47850015 0.8617629 -0.02099295]\n", + " [-0.27449976 -0.09592374 -0.02335317 -0.95650697]\n", + " [ 0.28436903 -0.81376424 0.50672374 -0.0123439 ]\n", + " [ 0.90323005 0.31563269 -0.0070973 -0.29069113]]\n", + "This is the 78 run out of 81 run.\n", + "The code has run 107.2129 seconds.\n", + "Estimated remaining time: 4.1236 seconds\n", + "=======This is the 79 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4147489070892334 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 391481628285764.6 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 3.78300825 2.48696745 -5.89746462 -7.50132695]\n", + " [ 2.48696745 4.14625153 -3.87702206 -12.50614675]\n", + " [ -5.89746462 -3.87702206 9.19376502 11.69408555]\n", + " [ -7.50132695 -12.50614675 11.69408555 37.72171214]]\n", + "Trace: 54.84473693548664\n", + "Determinant: 4.647105658156808e-22\n", + "Condition number: 400454740648680.8\n", + "Minimal eigen value: 1.1983181608880037e-13\n", + "Eigen values: [4.79872188e+01 6.85751810e+00 1.19831816e-13 1.17462520e-11]\n", + "Eigen vectors: [[-2.08260416e-01 4.98145720e-01 8.41708957e-01 1.96819244e-03]\n", + " [-2.90340709e-01 -1.21383303e-01 2.38479963e-03 -9.49190939e-01]\n", + " [ 3.24664552e-01 -7.76576699e-01 5.39925661e-01 1.26270334e-03]\n", + " [ 8.75741286e-01 3.66122337e-01 7.90575749e-04 -3.14692060e-01]]\n", + "This is the 79 run out of 81 run.\n", + "The code has run 108.6304 seconds.\n", + "Estimated remaining time: 2.7501 seconds\n", + "=======This is the 80 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.4330980777740479 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 1080972115588303.6 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 3.0314299 2.01275617 -4.36227939 -5.60398588]\n", + " [ 2.01275617 2.85260011 -2.89639114 -7.9423074 ]\n", + " [-4.36227939 -2.89639114 6.27739452 8.06423315]\n", + " [-5.60398588 -7.9423074 8.06423315 22.11324554]]\n", + "Trace: 34.27467007353134\n", + "Determinant: 2.0179262044105243e-23\n", + "Condition number: 1001413933887065.1\n", + "Minimal eigen value: 3.0139349593310815e-14\n", + "Eigen values: [3.01819646e+01 4.09270543e+00 3.01393496e-14 5.71574174e-12]\n", + "Eigen vectors: [[-0.25516387 0.51043383 0.82111547 0.01082018]\n", + " [-0.30235024 -0.15114385 0.01245421 -0.94105584]\n", + " [ 0.36718521 -0.73452279 0.57060868 0.00751928]\n", + " [ 0.84181397 0.42081958 0.00447303 -0.33799452]]\n", + "This is the 80 run out of 81 run.\n", + "The code has run 110.0664 seconds.\n", + "Estimated remaining time: 1.3758 seconds\n", + "=======This is the 81 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This run takes wall clock time: 1.5832781791687012 s.\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 3820349877653972.0 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 2.38861504 1.52011273 -3.19173929 -3.93004114]\n", + " [ 1.52011273 1.84022614 -2.03122077 -4.75764959]\n", + " [-3.19173929 -2.03122077 4.26489809 5.25144025]\n", + " [-3.93004114 -4.75764959 5.25144025 12.30024352]]\n", + "Trace: 20.793982781967976\n", + "Determinant: 5.160137969624181e-25\n", + "Condition number: 3307683673504755.5\n", + "Minimal eigen value: 5.551918660251114e-15\n", + "Eigen values: [1.83639907e+01 2.42999207e+00 5.55191866e-15 2.09196812e-12]\n", + "Eigen vectors: [[-0.30847678 0.51365626 0.8004294 0.01824717]\n", + " [-0.30926344 -0.18572861 0.02058024 -0.93242113]\n", + " [ 0.41219601 -0.68636271 0.59902076 0.0136558 ]\n", + " [ 0.79955778 0.48017534 0.00796019 -0.36065412]]\n", + "This is the 81 run out of 81 run.\n", + "The code has run 111.6523 seconds.\n", + "Estimated remaining time: 0.0000 seconds\n", + "The whole run takes 111.65259408950806 s.\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -1348,10 +3343,229 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "991969ba", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 700.0)\n", + "[\"'CA0'\"] is/are fixed.\n", + "1D sensitivity curve is plotted with T .\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "test = all_fim.extract_criteria()\n", "\n", @@ -1373,10 +3587,66 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "c9fe2868", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2D heatmap is plotted with ['CA0', 'T'] .\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "fixed = {}\n", "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" @@ -1486,12 +3756,180 @@ "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" ] }, + { + "cell_type": "markdown", + "id": "b116410d", + "metadata": {}, + "source": [ + "## Dynamic heatmap" + ] + }, { "cell_type": "code", "execution_count": null, "id": "87997eb7", "metadata": {}, "outputs": [], + "source": [ + "design_ranges = [list(np.linspace(300,700,18))]\n", + "\n", + "dv_apply_name = ['T']\n", + "\n", + "count = 0\n", + "for ct in t_control:\n", + " print('Time controlled:', ct)\n", + " dv_apply_time = [[ct]]\n", + "\n", + " # Define experiments\n", + " exp1 = generate_exp(t_control, 5, [300, 300, 300, 300, 300, 300, 300, 300, 300])\n", + " \n", + " doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", + " ['CA','CB','CC'], t_measure, createmod,\n", + " prior_FIM=prior_pass, discretize_model=disc)\n", + "\n", + " all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", + " mode='sequential_finite', \n", + " scale_nominal_param_value=True,\n", + " filename = '300base_'+str(count)+'.csv'\n", + " )\n", + " \n", + " test = all_fim.extract_criteria()\n", + "\n", + " ## draw 1D sensitivity curve \n", + "\n", + " fixed = {}\n", + "\n", + " all_fim.figure_drawing(fixed, ['T'], 'Reactor case','T [K]','$C_{A0}$ [M]' )\n", + " count += 1 " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9c06237a", + "metadata": {}, + "outputs": [], + "source": [ + "filename_list = []\n", + "count = 0\n", + "for ct in t_control:\n", + " print('Time controlled:', ct)\n", + " filename_list.append('300base_'+str(count)+'.csv')\n", + " count += 1\n", + " \n", + "print(filename_list)\n", + "\n", + "data_list = []\n", + "for i in filename_list:\n", + " data_list.append(pd.read_csv(i))\n", + "print(np.shape(data_list))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "69cedae2", + "metadata": {}, + "outputs": [], + "source": [ + "print(data_list[3]['D'].iloc[4])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a0c522a7", + "metadata": {}, + "outputs": [], + "source": [ + "d_result = np.zeros((18,8))\n", + "\n", + "for i in range(8):\n", + " for j in range(18):\n", + " d_result[j,i] = np.log10(data_list[i]['ME'].iloc[j])\n", + " \n", + "print(d_result)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "76b252c0", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "x_range1 = [0,0.125,0.25,0.375,0.5,0.625,0.75,0.875]\n", + "x_range1 = [0,0.13, 0.25,0.38,0.5,0.63,0.75,0.88]\n", + "y_range1 = yLabel = [300, 321, 342, 363, 384, 405, 426, 447, 468, 489, 511, 532, 553, 574, 595, 616, 637, 658, 679, 700.0]\n", + "\n", + "heatmap(x_range1, y_range1, 'Time [$h$]', 'Temperature [$K$]')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2cb4b083", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.ticker as ticker\n", + "def heatmap(x_range, y_range, xlabel_text, ylabel_text, font_axes=16, font_tick=12, log_scale=True):\n", + " '''\n", + " Draw 2D heatmaps for all design criteria\n", + "\n", + " Parameters:\n", + " ----------\n", + " title_text: name of the figure, a string\n", + " xlabel_text: x label title, a string.\n", + " In a 2D heatmap, it should be the second design varialbe in the design_ranges\n", + " ylabel_text: y label title, a string.\n", + " In a 2D heatmap, it should be the first design variable in the dv_ranges\n", + " font_axes: axes label font size\n", + " font_tick: tick label font size\n", + " log_scale: if True, the result matrix will be scaled by log10\n", + "\n", + " Returns:\n", + " --------\n", + " 4 Figures of 2D heatmap for each criteria\n", + " '''\n", + " # set heatmap x,y ranges\n", + " xLabel = x_range\n", + " yLabel = y_range\n", + "\n", + " # D-optimality\n", + " fig = plt.figure()\n", + " plt.rc('axes', titlesize=font_axes)\n", + " plt.rc('axes', labelsize=font_axes)\n", + " plt.rc('xtick', labelsize=font_tick)\n", + " plt.rc('ytick', labelsize=font_tick)\n", + " ax = fig.add_subplot(111)\n", + " params = {'mathtext.default': 'regular'}\n", + " plt.rcParams.update(params)\n", + " ax.set_yticks(range(len(yLabel)))\n", + " ax.set_yticklabels(yLabel)\n", + " ax.set_ylabel(ylabel_text)\n", + " \n", + " \n", + " ax.set_xticks(range(len(xLabel)))\n", + " ax.set_xticklabels(xLabel)\n", + " loc = ticker.MultipleLocator(base=2)\n", + " ax.xaxis.set_major_locator(loc)\n", + " ax.set_xlabel(xlabel_text)\n", + "\n", + " im = ax.imshow(d_result, cmap=plt.cm.hot_r)\n", + " ba = plt.colorbar(im)\n", + " ba.set_label('$log_{10}$(ME-optimality)',labelpad=-40, y=1.1, rotation=0)\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "14d1e7e8", + "metadata": {}, + "outputs": [], "source": [] } ], From 149e359a5bbb086f1e331ee6b9bb037010bc001d Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sat, 4 Sep 2021 12:02:21 -0400 Subject: [PATCH 16/42] add three timers to fim_doe --- pyomo/contrib/doe/fim_doe.py | 97 +- pyomo/contrib/doe/reactor_control_doe.ipynb | 3341 ++----------------- pyomo/contrib/doe/reactor_models.py | 1 + 3 files changed, 312 insertions(+), 3127 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index 6de4887065e..f786bb4899f 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -164,21 +164,32 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', # Solve square problem first # result_square: solver result + time0_solve = time.time() result_square = self.__solve_doe(m, fix=True) + time1_solve = time.time() + + time_solve1 = time1_solve-time0_solve analysis_square = FIM_result(self.param_name, prior_FIM=self.prior_FIM, scale_constant_value=self.scale_constant_value) analysis_square.extract_FIM(m, self.design_timeset, result_square, obj=objective_option) + if self.optimize: # solve problem with DOF then + time0_solve2 = time.time() result_doe = self.__solve_doe(m, fix=False) + time1_solve2 = time.time() + + time_solve2 = time1_solve2 - time0_solve2 analysis_optimize = FIM_result(self.param_name, prior_FIM=self.prior_FIM) analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, obj=objective_option) analysis_optimize.model = m + time1 = time.time() if self.verbose: + print('Total solve time with simultaneous_finite mode (Wall clock) [s]:', time_solve1 + time_solve2) print('Total wall clock time [s]:', time1-time0) return analysis_square, analysis_optimize @@ -188,6 +199,7 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', time1 = time.time() if self.verbose: + print('Total solve time with simultaneous_finite mode (Wall clock) [s]:', time_solve1) print('Total wall clock time [s]:', time1 - time0) return analysis_square @@ -228,6 +240,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No ------- FIM_analysis: result summary object of this solve ''' + # save inputs in object self.design_values = design_values self.mode = mode @@ -255,15 +268,20 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # if using simultaneous model if (self.mode == 'simultaneous_finite'): + time0_build = time.time() m = self.__create_doe_model() + time1_build = time.time() - time0 = time.time() + time0_solve = time.time() # solve model, achieve results for square problem, and results for optimization problem square_result = self.__solve_doe(m, fix=True) - time1 = time.time() - + time1_solve = time.time() + + time_build = time1_build - time0_build + time_solve = time1_solve - time0_solve if self.verbose: - print('This run takes wall clock time: ', time1-time0, ' s.') + print('Build time with simultaneous_finite mode [s]:', time_build) + print('Solve time with simultaneous_finite mode [s]:', time_solve) # analyze results if specified_prior is None: @@ -276,6 +294,8 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # add the formed simultaneous model to the object so that users can have access self.m = m self.square_result = square_result + FIM_analysis.build_time = time_build + FIM_analysis.solve_time = time_solve return FIM_analysis @@ -291,8 +311,9 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No output_record = {} # dict for storing Jacobian jac = {} - - time0 = time.time() + + time_allbuild = [] + time_allsolve = [] # loop over each scenario for no_s in (scena_gen.scena_keys): @@ -300,7 +321,10 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # create the model # TODO:(long term) add options to create model once and then update. only try this after the # package is completed and unitest is finished + time0_build = time.time() mod = self.create_model(scenario_iter) + time1_build = time.time() + time_allbuild.append(time1_build-time0_build) # discretize if needed if self.discretize_model is not None: @@ -312,7 +336,10 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No time_set.append(value(t)) # solve model + time0_solve = time.time() square_result = self.__solve_doe(mod, fix=True) + time1_solve = time.time() + time_allsolve.append(time1_solve-time0_solve) # loop over measurement item and time to store model measurements output_combine = [] @@ -321,9 +348,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No C_value = eval('mod.' + j + '[0,' + str(t) + ']') output_combine.append(value(C_value)) output_record[no_s] = output_combine - - time1 = time.time() - print('This run takes wall clock time: ', time1-time0, ' s.') + # After collecting outputs from all scenarios, calculate sensitivity for para in self.param_name: @@ -342,6 +367,9 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # get Jacobian dict, keys are parameter name, values are sensitivity info jac[para] = list_jac + if self.verbose: + print('Build time with sequential_finite mode [s]:', sum(time_allbuild)) + print('Solve time with sequential_finite mode [s]:', sum(time_allsolve)) # Assemble and analyze results if specified_prior is None: @@ -353,6 +381,8 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # Store the Jacobian information for access by users self.jac = jac + FIM_analysis.build_time = sum(time_allbuild) + FIM_analysis.solve_time = sum(time_allsolve) return FIM_analysis @@ -368,15 +398,19 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No all_base_measure = [] # store jacobian info jac={} - - time0 = time.time() + + time_allbuild = [] + time_allsolve = [] # loop over parameters for pa in range(len(self.param_name)): perturb_mea = [] base_mea = [] # create model + time0_build = time.time() mod = self.create_model(scenario_all) + time1_build = time.time() + time_allbuild.append(time1_build - time0_build) # discretize if needed if self.discretize_model is not None: @@ -410,10 +444,15 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # solve model if self.mode =='sequential_sipopt': + time0_solve = time.time() m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=self.tee_opt, solver_options='ma57') else: + time0_solve = time.time() m_sipopt = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=self.tee_opt, solver_options='ma57') + time1_solve = time.time() + time_allsolve.append(time1_solve - time0_solve) + # extract sipopt result for j in self.measurement_variables: for t in self.measurement_timeset: @@ -445,9 +484,6 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No print(all_perturb_measure) print(all_base_measure) - time1 = time.time() - if self.verbose: - print('This run takes wall clock time: ', time1-time0, ' s.') # After collecting outputs from all scenarios, calculate sensitivity for count, para in enumerate(self.param_name): list_jac = [] @@ -469,7 +505,13 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # Assemble and analyze results FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + if self.verbose: + print('Build time with sequential_sipopt or kaug mode [s]:', sum(time_allbuild)) + print('Solve time with sequential_sipopt or kaug mode [s]:', sum(time_allsolve)) + self.jac = jac + FIM_analysis.build_time = sum(time_allbuild) + FIM_analysis.solve_time = sum(time_allsolve) return FIM_analysis @@ -579,6 +621,10 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, ------- figure_draw_object: a combined result object of class Grid_search_result ''' + + # time 0 + t_enumeration_begin = time.time() + # Set the Objective Function to 0 helps solve square problem quickly self.objective_option='zero' self.filename = filename @@ -593,8 +639,7 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, # to store all FIM results result_combine = {} - # time 0 - t_begin = time.time() + # iteration 0 count = 0 @@ -607,6 +652,9 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, # generate combinations of design variable values to go over search_design_set = product(*design_ranges) + build_time_store=[] + solve_time_store=[] + # loop over deign value combinations for design_set_iter in search_design_set: # generate the design variable dictionary needed for running compute_FIM @@ -621,14 +669,14 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, print('=======This is the ', count+1, 'th iteration=======') print('Design variable values of this iteration:', design_iter) - t_each_begin = time.time() - # call compute_FIM to get FIM result_iter = self.compute_FIM(design_iter, mode=mode, tee_opt=tee_option, scale_nominal_param_value=scale_nominal_param_value, scale_constant_value = scale_constant_value, formula=formula, step=step) + build_time_store.append(result_iter.build_time) + solve_time_store.append(result_iter.solve_time) if (mode=='simultaneous_finite'): result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.objective_option) @@ -641,16 +689,13 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, if self.verbose: # give run information at each iteration print('This is the ', count+1, ' run out of ', total_count, 'run.') - print('The code has run %.04f seconds.'% (t_now-t_begin)) - print('Estimated remaining time: %.4f seconds' % ((t_now-t_begin)/(count+1)*(total_count-count-1))) + print('The code has run %.04f seconds.'% (t_now-t_enumeration_begin)) + print('Estimated remaining time: %.4f seconds' % ((t_now-t_enumeration_begin)/(count+1)*(total_count-count-1))) count += 1 # the combined result object are organized as a dictionary, keys are a tuple of the design variable values, values are a result object result_combine[tuple(design_set_iter)] = result_iter - t_end = time.time() - print('The whole run takes ', t_end - t_begin, ' s.') - # For user's access self.all_fim = result_combine @@ -663,6 +708,12 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, # pickle.dump(result_combine, f) # f.close() + t_enumeration_stop = time.time() + if self.verbose: + print('Overall model building time [s]:', sum(build_time_store)) + print('Overall model solve time [s]:', sum(solve_time_store)) + print('Overall wall clock time [s]:', t_enumeration_stop - t_enumeration_begin) + return figure_draw_object diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 97328abf574..14031f1297c 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -276,487 +276,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "latin-medicare", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.90e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 0.0000000e+00 1.65e+01 9.49e+01 -1.0 6.05e+01 - 1.18e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.43e-02 6.19e+01 -1.0 1.04e+01 - 8.15e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.60e-10 2.80e+02 -1.0 3.43e-02 - 9.92e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.6024159776861779e-10 1.6024159776861779e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.6024159776861779e-10 1.6024159776861779e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 0.0000000e+00 1.65e+01 9.45e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.46e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.62e-10 2.78e+02 -1.0 3.44e-02 - 9.92e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.6205348174480605e-10 1.6205348174480605e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.6205348174480605e-10 1.6205348174480605e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.78e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 0.0000000e+00 1.68e+01 9.36e+01 -1.0 5.91e+01 - 1.19e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.59e-02 6.35e+01 -1.0 1.04e+01 - 8.10e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.63e-10 2.81e+02 -1.0 3.47e-02 - 9.91e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.6321521911777381e-10 1.6321521911777381e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.6321521911777381e-10 1.6321521911777381e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 0.0000000e+00 1.64e+01 1.00e+02 -1.0 5.99e+01 - 1.15e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.40e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.62e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.6184387163775682e-10 1.6184387163775682e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.6184387163775682e-10 1.6184387163775682e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.79e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 0.0000000e+00 1.64e+01 9.42e+01 -1.0 5.93e+01 - 1.19e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.40e-02 5.73e+01 -1.0 1.02e+01 - 8.29e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.59e-10 2.76e+02 -1.0 3.40e-02 - 9.92e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5922552165648085e-10 1.5922552165648085e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5922552165648085e-10 1.5922552165648085e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 0.0000000e+00 1.64e+01 9.46e+01 -1.0 5.99e+01 - 1.18e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.36e-02 5.96e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.57e-10 2.78e+02 -1.0 3.39e-02 - 9.92e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5741719039397140e-10 1.5741719039397140e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5741719039397140e-10 1.5741719039397140e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.92e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 0.0000000e+00 1.62e+01 9.54e+01 -1.0 6.06e+01 - 1.18e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.23e-02 5.52e+01 -1.0 1.02e+01 - 8.35e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.56e-10 2.74e+02 -1.0 3.36e-02 - 9.92e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5615597703799722e-10 1.5615597703799722e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5615597703799722e-10 1.5615597703799722e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2955\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 861\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.67e+02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (25018)\n", - " 1 0.0000000e+00 5.85e+01 8.79e+01 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 0.0000000e+00 1.65e+01 8.86e+01 -1.0 5.99e+01 - 1.21e-01 9.90e-01h 1\n", - " 3 0.0000000e+00 6.41e-02 5.95e+01 -1.0 1.03e+01 - 8.22e-01 1.00e+00h 1\n", - " 4 0.0000000e+00 1.57e-10 2.78e+02 -1.0 3.41e-02 - 9.92e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 4\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.5718981671852816e-10 1.5718981671852816e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.5718981671852816e-10 1.5718981671852816e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 5\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 5\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 5\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 4\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "This run takes wall clock time: 1.1137192249298096 s.\n", - "Existed information has been added.\n", - "FIM: [[ 17.66735032 18.7480602 -30.08263104 -76.6066237 ]\n", - " [ 18.7480602 30.76320467 -30.03050295 -124.70431051]\n", - " [ -30.08263104 -30.03050295 52.03394099 123.23421143]\n", - " [ -76.6066237 -124.70431051 123.23421143 512.96345747]]\n", - "Trace: 613.4279534435012\n", - "Determinant: 660.3583515770521\n", - "Condition number: 6031.620557408929\n", - "Minimal eigen value: 0.0972298400179123\n", - "Eigen values: [5.86453502e+02 2.64391974e+01 9.72298400e-02 4.38024348e-01]\n", - "Eigen vectors: [[ 0.14570503 0.44040225 0.86466319 0.19280423]\n", - " [ 0.22716472 -0.06223616 -0.21777828 0.94715124]\n", - " [-0.23621986 -0.85406237 0.4515386 0.10435773]\n", - " [-0.93347009 0.26972204 -0.03229685 0.23418053]]\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -778,23 +303,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "64fc6da4", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "======Result summary======\n", - "Four design criteria log10() value:\n", - "A-optimality: 2.787763562565366\n", - "D-optimality: 2.8197796747502895\n", - "E-optimality: -1.0122004288361668\n", - "Modified E-optimality: 3.7804340127346014\n" - ] - } - ], + "outputs": [], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", @@ -879,322 +391,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "wicked-raising", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 24144\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 1922\n", - "\n", - "Total number of variables............................: 6406\n", - " variables with only lower bounds: 2316\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6406\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 2.67e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (280897)\n", - " 1 5.4655826e+00 7.17e+02 2.15e+03 -1.0 2.67e+02 - 1.10e-02 9.90e-01f 1\n", - " 2 1.0906395e+01 7.15e+02 2.16e+03 -1.0 8.26e+02 - 6.11e-04 2.83e-03h 1\n", - "WARNING: Problem in step computation; switching to emergency mode.\n", - " 3r 1.0906395e+01 7.15e+02 9.99e+02 2.9 0.00e+00 - 0.00e+00 0.00e+00R 1\n", - " 4r 1.1703521e+00 6.70e+03 7.35e+04 2.9 6.49e+05 - 2.20e-02 1.09e-03f 1\n", - " 5r 7.8567757e-01 6.64e+03 7.31e+04 2.9 6.45e+03 - 4.82e-02 5.67e-03f 1\n", - " 6r-9.2384296e-01 6.32e+03 6.95e+04 2.9 1.62e+03 - 5.90e-02 4.94e-02f 1\n", - " 7r-2.0125057e+00 5.84e+03 6.43e+04 2.9 2.65e+02 - 6.03e-02 7.67e-02f 1\n", - " 8r-3.1674842e+00 4.98e+03 5.48e+04 2.9 7.15e+01 - 5.50e-01 1.53e-01f 1\n", - " 9r-5.3055698e+00 2.59e+03 2.85e+04 2.9 3.58e+01 - 6.12e-01 5.58e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r-4.2820818e+00 1.31e+03 1.44e+04 2.2 1.70e+01 - 1.00e+00 5.78e-01f 1\n", - " 11r-4.2295466e+00 9.51e+02 1.05e+04 2.2 4.78e+01 - 1.00e+00 2.94e-01f 1\n", - " 12r-4.0666894e+00 2.37e+02 2.62e+03 2.2 5.89e+00 - 1.00e+00 1.00e+00f 1\n", - " 13r-3.7963640e+00 7.46e+02 8.06e+02 1.5 4.62e-01 2.0 1.00e+00 9.13e-01f 1\n", - " 14r-3.7926931e+00 2.09e+02 1.77e+02 1.5 9.96e-02 3.3 1.00e+00 1.00e+00f 1\n", - " 15r-3.5228070e+00 1.77e+02 4.78e+02 0.8 2.84e+01 - 3.07e-01 1.67e-01f 1\n", - " 16r-3.5023267e+00 1.51e+02 4.90e+02 0.8 2.62e+01 - 3.78e-01 1.55e-01f 1\n", - " 17r-3.4958074e+00 1.41e+02 1.13e+03 0.8 8.88e+00 - 6.99e-01 2.68e-01f 1\n", - " 18r-3.4924455e+00 3.07e+02 5.28e+02 0.8 3.96e+00 - 1.00e+00 5.97e-01f 1\n", - " 19r-3.4954529e+00 6.79e+02 6.36e+02 0.8 5.45e+00 - 4.53e-01 4.14e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r-3.4695209e+00 3.69e+02 3.51e+02 0.8 6.08e-02 3.8 7.70e-01 5.66e-01f 1\n", - " 21r-3.4498142e+00 9.73e+01 2.73e+02 0.8 8.06e-02 3.3 1.00e+00 1.00e+00f 1\n", - " 22r-3.5129663e+00 7.03e+01 6.66e+02 0.8 2.45e+00 - 1.00e+00 3.05e-01f 1\n", - " 23r-3.6583397e+00 1.79e+01 1.22e+02 0.8 1.19e+00 - 1.00e+00 1.00e+00f 1\n", - " 24r-3.3523579e+00 5.63e+00 6.94e+01 0.1 1.91e+00 - 7.61e-01 9.03e-01f 1\n", - " 25r-3.2879383e+00 2.65e+00 2.40e+02 -0.6 9.88e-02 2.8 4.22e-01 6.85e-01f 1\n", - " 26r-3.2942005e+00 1.48e+00 4.28e+02 -0.6 1.19e-01 2.3 4.24e-01 6.72e-01f 1\n", - " 27r-3.3741843e+00 6.95e-01 3.17e+02 -0.6 2.83e-01 1.8 4.27e-01 6.60e-01f 1\n", - " 28r-3.5647629e+00 3.80e-01 1.05e+02 -0.6 7.15e-01 1.4 7.67e-01 6.04e-01f 1\n", - " 29r-3.6263593e+00 2.10e+00 3.19e+02 -0.6 2.49e+01 - 1.87e-01 5.76e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r-3.7559257e+00 1.10e+00 6.50e+02 -0.6 1.46e+00 0.9 1.00e+00 4.80e-01f 1\n", - " 31r-4.4296864e+00 1.27e+00 9.12e+02 -0.6 1.83e+01 - 7.72e-01 1.96e-01f 1\n", - " 32r-4.6062143e+00 1.11e+00 1.05e+03 -0.6 1.32e+01 - 9.70e-01 2.52e-01f 1\n", - " 33r-4.6403310e+00 1.01e+00 5.07e+02 -0.6 9.79e+00 - 1.00e+00 1.31e-01f 1\n", - " 34r-5.0267968e+00 6.75e-01 4.89e+02 -0.6 8.92e+00 - 1.00e+00 5.08e-01f 1\n", - " 35r-5.4793176e+00 4.05e-01 1.51e+02 -0.6 5.44e+00 - 1.00e+00 5.39e-01f 1\n", - " 36r-5.8514660e+00 1.45e-01 2.77e+00 -0.6 2.73e+00 - 1.00e+00 1.00e+00f 1\n", - " 37r-6.2239976e+00 3.05e-01 1.42e+02 -2.0 2.02e+00 - 4.28e-01 8.71e-01f 1\n", - " 38r-6.2306008e+00 3.14e-01 2.23e+02 -2.0 3.87e+01 - 3.53e-01 4.39e-02f 1\n", - " 39r-6.5065210e+00 5.49e-01 2.64e+02 -2.0 2.89e+01 - 3.51e-01 1.75e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r-7.5490591e+00 7.24e-01 2.22e+02 -2.0 2.92e+01 - 2.81e-01 2.23e-01f 1\n", - " 41r-8.1856846e+00 9.29e-01 1.94e+02 -2.0 2.78e+01 - 4.49e-01 2.86e-01f 1\n", - " 42r-8.9032613e+00 1.18e+00 8.10e+01 -2.0 2.39e+01 - 2.78e-01 4.90e-01f 1\n", - " 43r-9.2691161e+00 7.81e-01 7.64e+01 -2.0 1.52e+01 - 1.00e+00 5.88e-01f 1\n", - " 44r-9.3057712e+00 6.21e-01 5.76e+01 -2.0 6.37e+00 - 1.00e+00 2.13e-01f 1\n", - " 45r-9.4237517e+00 1.73e-01 2.59e+00 -2.0 5.10e+00 - 1.00e+00 1.00e+00f 1\n", - " 46r-9.3960183e+00 1.73e-01 6.42e-02 -2.0 1.13e-01 - 1.00e+00 1.00e+00h 1\n", - " 47r-9.4943082e+00 1.77e-01 2.62e+00 -3.1 2.80e-01 - 9.24e-01 1.00e+00f 1\n", - " 48r-9.6936589e+00 2.41e-01 9.35e+01 -3.1 4.97e+01 - 2.97e-01 1.07e-01f 1\n", - " 49r-1.0071906e+01 1.16e+00 1.45e+02 -3.1 4.98e+01 - 4.45e-01 2.53e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r-1.0193604e+01 1.96e+00 2.09e+02 -3.1 4.95e+01 - 1.00e+00 4.03e-01f 1\n", - " 51r-1.0182449e+01 1.75e+00 1.52e+02 -3.1 3.86e+01 - 1.00e+00 1.63e-01f 1\n", - " 52r-1.0144091e+01 1.49e+00 1.16e+02 -3.1 3.22e+01 - 1.00e+00 2.37e-01f 1\n", - " 53r-9.9402027e+00 1.27e+00 3.08e+01 -3.1 2.60e+01 - 1.00e+00 7.30e-01f 1\n", - " 54r-9.8860003e+00 1.25e-01 1.42e+00 -3.1 8.74e+00 - 1.00e+00 1.00e+00h 1\n", - " 55r-9.9335964e+00 2.56e-02 6.45e-03 -3.1 1.14e-01 - 1.00e+00 1.00e+00h 1\n", - " 56r-9.9408592e+00 2.62e-02 9.47e+00 -4.6 4.04e-02 - 8.74e-01 8.23e-01f 1\n", - " 57r-9.9294589e+00 2.54e-02 5.66e+01 -4.6 6.22e-01 0.4 8.77e-01 5.64e-01f 1\n", - " 58r-9.9016182e+00 2.33e-02 5.29e+01 -4.6 1.86e+00 -0.1 1.00e+00 5.21e-01f 1\n", - " 59r-9.8225485e+00 1.32e-01 3.95e+01 -4.6 5.49e+00 -0.5 6.25e-01 9.64e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r-9.8442419e+00 1.24e-01 1.25e+02 -4.6 1.52e+01 -1.0 1.00e+00 1.30e-01f 1\n", - " 61r-9.8464890e+00 1.23e-01 1.30e+02 -4.6 3.83e+01 -1.5 2.52e-01 1.30e-02f 1\n", - " 62r-9.8658349e+00 1.24e-01 1.53e+02 -4.6 7.84e+01 -2.0 2.18e-01 3.48e-02f 1\n", - " 63r-9.8660048e+00 1.24e-01 1.79e+02 -4.6 1.35e+01 -2.4 6.89e-02 3.46e-04h 1\n", - " 64r-9.8590623e+00 1.37e-01 6.58e+02 -4.6 1.11e+01 -2.0 1.00e+00 8.03e-02f 1\n", - " 65r-9.8626496e+00 7.17e-01 5.93e+02 -4.6 1.34e+01 -2.5 1.14e-01 9.89e-02f 1\n", - " 66r-9.9103122e+00 9.81e-01 5.78e+02 -4.6 2.06e+01 -3.0 5.33e-01 2.50e-02f 1\n", - " 67r-9.9072747e+00 1.06e+00 5.26e+02 -4.6 1.20e+01 -2.5 2.41e-01 8.95e-02f 1\n", - " 68r-9.9408631e+00 1.23e+00 4.93e+02 -4.6 1.43e+01 -3.0 1.00e+00 6.12e-02f 1\n", - " 69r-1.0193360e+01 9.54e+00 3.80e+02 -4.6 1.52e+01 -3.5 3.35e-01 2.30e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r-1.0069054e+01 8.39e+00 1.11e+02 -4.6 1.16e+01 - 1.00e+00 7.08e-01f 1\n", - " 71r-1.0108628e+01 6.97e+00 8.52e+01 -4.6 9.82e+00 - 1.00e+00 1.72e-01h 1\n", - " 72r-1.0110191e+01 6.88e+00 1.93e+02 -4.6 9.63e+00 - 1.00e+00 1.21e-02h 1\n", - " 73r-1.0158740e+01 3.78e+00 2.42e+02 -4.6 8.63e+00 - 1.00e+00 4.67e-01h 1\n", - " 74r-1.0136739e+01 1.19e+00 5.07e+01 -4.6 8.82e+00 - 1.00e+00 7.77e-01h 1\n", - " 75r-1.0136162e+01 1.16e+00 4.02e+01 -4.6 4.81e+00 - 1.00e+00 2.16e-02h 1\n", - " 76r-1.0130638e+01 9.68e-01 6.54e+01 -4.6 4.25e+00 - 1.00e+00 1.72e-01h 1\n", - " 77r-1.0101210e+01 1.23e-01 3.48e-01 -4.6 3.57e+00 - 1.00e+00 1.00e+00h 1\n", - " 78r-1.0103404e+01 2.01e-02 1.87e-03 -4.6 1.74e-01 - 1.00e+00 1.00e+00h 1\n", - " 79r-1.0103404e+01 2.01e-02 1.18e-08 -4.6 1.79e-04 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r-1.0103769e+01 2.01e-02 7.32e-01 -6.9 5.69e-03 - 9.11e-01 9.96e-01f 1\n", - " 81r-1.0105888e+01 7.63e-01 3.57e+02 -6.9 2.43e+01 -2.2 7.85e-01 1.37e-01f 1\n", - " 82r-1.0146966e+01 1.29e+00 3.59e+02 -6.9 4.26e+02 -2.7 4.52e-02 1.38e-03f 1\n", - " 83r-1.0144180e+01 1.30e+00 1.35e+03 -6.9 1.83e+02 - 1.00e+00 1.73e-03f 1\n", - " 84r-9.8799057e+00 1.38e+01 1.08e+03 -6.9 1.68e+02 - 4.66e-01 7.15e-02f 1\n", - " 85r-9.8798945e+00 1.38e+01 1.04e+03 -6.9 1.23e+02 - 1.00e+00 4.13e-06h 1\n", - " 86r-9.7662895e+00 1.56e+01 9.96e+02 -6.9 1.20e+02 - 8.46e-01 3.86e-02f 1\n", - " 87r-9.6360045e+00 1.44e+01 6.51e+02 -6.9 5.97e+01 - 6.38e-01 7.88e-02f 1\n", - " 88r-9.6152888e+00 1.42e+01 8.97e+02 -6.9 5.65e+01 - 1.00e+00 1.79e-02f 1\n", - " 89r-9.1966953e+00 1.35e+01 7.11e+02 -6.9 5.84e+01 - 8.72e-01 2.12e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r-9.2140080e+00 1.35e+01 7.04e+02 -6.9 8.94e+01 - 8.49e-02 7.47e-03h 1\n", - " 91r-9.2140069e+00 1.35e+01 3.24e+02 -6.9 2.60e+01 -2.2 8.71e-01 9.33e-06h 1\n", - " 92r-8.9786448e+00 3.99e+01 2.76e+02 -6.9 7.44e+01 - 7.11e-03 1.03e-01f 1\n", - " 93r-8.9786438e+00 3.99e+01 7.48e+02 -6.9 4.50e+01 -2.7 1.00e+00 1.22e-06h 1\n", - " 94r-9.0342265e+00 3.75e+01 7.36e+02 -6.9 7.53e+01 - 1.00e+00 6.51e-02f 1\n", - " 95r-9.0425122e+00 3.71e+01 7.29e+02 -6.9 6.45e+01 - 1.00e+00 1.16e-02h 1\n", - " 96r-9.1205082e+00 3.32e+01 6.70e+02 -6.9 6.29e+01 - 1.00e+00 1.14e-01f 1\n", - " 97r-9.1247914e+00 3.29e+01 6.44e+02 -6.9 5.34e+01 - 1.00e+00 8.26e-03h 1\n", - " 98r-9.1647700e+00 3.04e+01 6.64e+02 -6.9 4.96e+01 - 1.00e+00 8.03e-02h 1\n", - " 99r-9.1831974e+00 2.89e+01 6.75e+02 -6.9 2.72e+01 - 1.00e+00 5.06e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r-9.1962027e+00 2.75e+01 6.78e+02 -6.9 1.13e+01 - 1.00e+00 5.30e-02h 1\n", - " 101r-9.3586914e+00 2.29e+01 5.39e+01 -6.9 1.16e+01 - 1.00e+00 1.00e+00h 1\n", - " 102r-8.3335010e+00 4.09e+01 2.81e+01 -6.9 3.09e+01 - 1.00e+00 1.00e+00h 1\n", - " 103r-8.4325237e+00 9.52e-01 6.76e-01 -6.9 2.20e+01 - 1.00e+00 1.00e+00h 1\n", - " 104r-8.4333437e+00 1.18e-02 5.99e-04 -6.9 1.37e+00 - 1.00e+00 1.00e+00h 1\n", - " 105r-8.4333666e+00 1.18e-02 6.04e-09 -6.9 4.59e-04 - 1.00e+00 1.00e+00h 1\n", - " 106r-8.4333670e+00 1.18e-02 4.16e-02 -9.0 5.33e-06 - 1.00e+00 1.00e+00f 1\n", - " 107r-5.2737198e+00 8.49e+01 9.16e+01 -9.0 1.76e+02 - 1.00e+00 7.53e-01f 1\n", - " 108r-5.2737198e+00 8.49e+01 1.00e+03 -9.0 4.68e+02 - 0.00e+00 3.59e-10R 2\n", - " 109r-7.6410002e+00 1.52e+01 1.00e+03 -9.0 7.88e+05 - 1.92e-12 1.08e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r-7.4565299e+00 1.14e+01 9.64e+02 -9.0 3.70e+04 - 1.00e+00 1.07e-04f 1\n", - " 111r-7.4070132e+00 1.11e+01 9.01e+02 -9.0 6.53e+02 - 1.00e+00 2.30e-02f 1\n", - " 112r-7.4020039e+00 1.10e+01 8.93e+02 -9.0 1.36e+00 - 1.00e+00 7.75e-03f 1\n", - " 113r-7.3324927e+00 9.79e+00 6.92e+02 -9.0 1.34e+00 - 1.00e+00 1.07e-01f 1\n", - " 114r-6.6642782e+00 1.33e+00 1.19e-04 -9.0 1.16e+00 - 1.00e+00 1.00e+00h 1\n", - " 115r-6.5003768e+00 5.25e-02 4.29e-06 -9.0 2.29e-01 - 1.00e+00 1.00e+00h 1\n", - " 116r-6.4930699e+00 9.57e-05 1.52e-08 -9.0 9.78e-03 - 1.00e+00 1.00e+00h 1\n", - " 117r-6.4930565e+00 3.21e-10 3.14e-13 -9.0 1.79e-05 - 1.00e+00 1.00e+00h 1\n", - "Cannot recompute multipliers for feasibility problem. Error in eq_mult_calculator\n", - "\n", - "Number of Iterations....: 117\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -6.4930564983096177e+00 -6.4930564983096177e+00\n", - "Dual infeasibility......: 2.8818676410297761e+00 2.8818676410297761e+00\n", - "Constraint violation....: 3.2059688237495720e-10 3.2059688237495720e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.2059688237495720e-10 2.8818676410297761e+00\n", - "\n", - "\n", - "Number of objective function evaluations = 120\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 121\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 119\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 117\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 1.168\n", - "Total CPU secs in NLP function evaluations = 0.148\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "FIM: [[ 17.66556334 18.74694576 -30.08229217 -76.6249341 ]\n", - " [ 18.74694576 30.76060367 -30.0321233 -124.73075662]\n", - " [ -30.08229217 -30.0321233 52.037396 123.27864319]\n", - " [ -76.6249341 -124.73075662 123.27864319 513.23289711]]\n", - "Trace: 613.696460122052\n", - "Determinant: 660.5392178909927\n", - "Condition number: 6041.624648957865\n", - "Minimal eigen value: 0.09711364246679273\n", - "Eigen values: [5.86724176e+02 2.64366622e+01 9.71136425e-02 4.38508241e-01]\n", - "Eigen vectors: [[ 0.14566483 0.44039769 0.86466461 0.19283862]\n", - " [ 0.22710147 -0.06219395 -0.21781816 0.94716001]\n", - " [-0.23618139 -0.85408186 0.45151616 0.1043824 ]\n", - " [-0.93350149 0.26967751 -0.03230345 0.23410574]]\n", - "Model objective: 6.493056498309618\n", - "Objective(determinant) is: 660.5392179206082\n", - "Solution of CA0 : [5]\n", - "Solution of T : [570.21, 300, 300, 300, 300, 300, 300, 300, 300]\n", - "======problem solver output======\n", - "converged\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 25152\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 1931\n", - "\n", - "Reallocating memory for MA57: lfact (321469)\n", - "Reallocating memory for MA57: lfact (338851)\n", - "Total number of variables............................: 6416\n", - " variables with only lower bounds: 2316\n", - " variables with lower and upper bounds: 98\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 6406\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -6.4930565e+00 1.18e-01 3.88e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -6.5487375e+00 1.02e-01 7.81e+00 -1.0 6.51e+01 - 9.46e-01 1.39e-01h 1\n", - " 2 -7.5629361e+00 3.41e+01 1.41e+02 -1.0 2.26e+02 - 6.92e-01 1.00e+00f 1\n", - " 3 -8.0125659e+00 9.95e+01 2.48e+02 -1.0 2.83e+02 - 1.00e+00 9.30e-01f 1\n", - " 4 -7.0801941e+00 7.14e+01 2.81e+02 -1.0 1.45e+02 - 1.00e+00 1.00e+00h 1\n", - " 5 -6.4731103e+00 2.81e+00 5.77e+01 -1.0 1.17e+01 - 1.00e+00 1.00e+00h 1\n", - " 6 -6.0107196e+00 1.55e-01 2.91e+01 -1.0 1.63e+01 - 1.00e+00 1.00e+00h 1\n", - " 7 -5.9936646e+00 2.57e-02 1.40e+01 -1.0 4.76e+00 - 1.00e+00 1.00e+00h 1\n", - " 8 -5.9962255e+00 4.44e-05 2.75e-03 -1.0 5.18e-02 - 1.00e+00 1.00e+00h 1\n", - " 9 -6.3446137e+00 7.25e-01 1.40e+02 -2.5 3.00e+01 - 8.90e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -7.0667990e+00 5.60e+00 4.60e+02 -2.5 3.45e+01 - 1.00e+00 1.00e+00h 1\n", - " 11 -7.5339327e+00 1.19e+01 2.31e+01 -2.5 2.64e+01 - 1.00e+00 1.00e+00h 1\n", - " 12 -7.4456072e+00 2.54e-01 2.75e+00 -2.5 1.65e+01 - 1.00e+00 1.00e+00h 1\n", - " 13 -7.4397514e+00 4.60e-04 2.36e-02 -2.5 1.45e+00 - 1.00e+00 1.00e+00h 1\n", - " 14 -7.5767128e+00 2.82e+00 3.62e+01 -3.8 2.15e+01 - 8.92e-01 1.00e+00f 1\n", - " 15 -7.5903387e+00 2.51e-01 2.37e-01 -3.8 1.19e+01 - 1.00e+00 1.00e+00h 1\n", - " 16 -7.5939799e+00 2.15e-03 2.48e-02 -3.8 4.12e+00 - 1.00e+00 1.00e+00h 1\n", - " 17 -7.5940301e+00 3.83e-05 9.16e-05 -3.8 5.52e-01 - 1.00e+00 1.00e+00h 1\n", - " 18 -7.6048778e+00 2.14e-02 1.75e-01 -5.7 5.06e+00 - 9.92e-01 1.00e+00h 1\n", - " 19 -7.6057068e+00 4.63e-04 1.58e-03 -5.7 1.95e+00 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -7.6057190e+00 8.98e-06 6.03e-06 -5.7 2.72e-01 - 1.00e+00 1.00e+00h 1\n", - " 21 -7.6058771e+00 3.21e-06 2.55e-05 -8.6 1.56e-01 - 1.00e+00 1.00e+00h 1\n", - " 22 -7.6058773e+00 5.25e-10 4.37e-10 -8.6 2.08e-03 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 22\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -7.6058773095031240e+00 -7.6058773095031240e+00\n", - "Dual infeasibility......: 4.3731464045108103e-10 4.3731464045108103e-10\n", - "Constraint violation....: 5.2507265202450526e-10 5.2507265202450526e-10\n", - "Complementarity.........: 2.5096974999069994e-09 2.5096974999069994e-09\n", - "Overall NLP error.......: 2.5096974999069994e-09 2.5096974999069994e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 23\n", - "Number of objective gradient evaluations = 23\n", - "Number of equality constraint evaluations = 23\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 23\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 22\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.188\n", - "Total CPU secs in NLP function evaluations = 0.025\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "FIM: [[ 17.22555255 14.38327112 -36.46377844 -71.12350272]\n", - " [ 14.38327112 34.96951087 -27.34621792 -169.60206821]\n", - " [ -36.46377844 -27.34621792 78.37663227 136.01315753]\n", - " [ -71.12350272 -169.60206821 136.01315753 829.48817501]]\n", - "Trace: 960.059870696678\n", - "Determinant: 2009.974490145707\n", - "Condition number: 7416.0392236954585\n", - "Minimal eigen value: 0.12066184870855438\n", - "Eigen values: [8.94833003e+02 6.48190115e+01 1.20661849e-01 2.87194536e-01]\n", - "Eigen vectors: [[ 0.08823439 0.39569315 0.88319678 0.23580728]\n", - " [ 0.19654998 -0.0457182 -0.2518595 0.94649075]\n", - " [-0.17069658 -0.89810224 0.39358015 0.09679724]\n", - " [-0.96148088 0.18641121 -0.04031014 0.19794059]]\n", - "Model objective: 7.605877309503124\n", - "Objective(determinant) is: 2009.9744901463853\n", - "Solution of CA0 : [5.0]\n", - "Solution of T : [477.13450463920645, 300.0, 300.00000049721297, 300.00000226167623, 300.00000640380813, 300.00001517876314, 300.0000313763859, 300.000065678056, 300.000207674314]\n", - "======problem solver output======\n", - "converged\n", - "Total wall clock time [s]: 3.0934250354766846\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -1207,37 +409,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "c6b08c05", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "======Result summary======\n", - "This optimization is solved with status: converged\n", - "It gives solution: {'CA0': [5.0], 'T': [477.13450463920645, 300.0, 300.00000049721297, 300.00000226167623, 300.00000640380813, 300.00001517876314, 300.0000313763859, 300.000065678056, 300.000207674314]}\n", - "The log10(OF) optimized is: 7.605877309503124\n", - "The result FIM is: [[ 17.22555255 14.38327112 -36.46377844 -71.12350272]\n", - " [ 14.38327112 34.96951087 -27.34621792 -169.60206821]\n", - " [ -36.46377844 -27.34621792 78.37663227 136.01315753]\n", - " [ -71.12350272 -169.60206821 136.01315753 829.48817501]]\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "print('======Result summary======')\n", "print('This optimization is solved with status:', optimize_result.status)\n", @@ -1277,12 +452,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 7, "id": "427c7dc8", "metadata": {}, "outputs": [], "source": [ - "design_ranges = [list(np.linspace(1,5,9)), list(np.linspace(300,700,9))]\n", + "design_ranges = [list(np.linspace(1,5,3)), list(np.linspace(300,700,3))]\n", "\n", "dv_apply_name = ['CA0','T']\n", "\n", @@ -1297,7 +472,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 8, "id": "dcfae212", "metadata": { "scrolled": true @@ -1307,1917 +482,165 @@ "name": "stdout", "output_type": "stream", "text": [ - "81 design vectors will be searched.\n", + "9 design vectors will be searched.\n", "=======This is the 1 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1347441673278809 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 31972787980626.57 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.90110466 0.07362417 -2.80952561 -0.44413588]\n", - " [ 0.07362417 0.72393115 -0.22954992 -4.36711698]\n", + "Build time with simultaneous_finite mode [s]: 0.3319430351257324\n", + "Solve time with simultaneous_finite mode [s]: 0.5407359600067139\n", + "FIM: [[ 0.90110466 0.07362418 -2.80952561 -0.44413588]\n", + " [ 0.07362418 0.72393115 -0.22954992 -4.36711698]\n", " [-2.80952561 -0.22954992 8.75973063 1.3847538 ]\n", " [-0.44413588 -4.36711698 1.3847538 26.34464701]]\n", - "Trace: 36.729413461228205\n", - "Determinant: 4.848608371240737e-22\n", - "Condition number: 31965433585094.88\n", - "Minimal eigen value: 8.50685168108717e-13\n", - "Eigen values: [9.53689322e+00 2.71925202e+01 8.50685168e-13 2.19984061e-12]\n", - "Eigen vectors: [[ 0.30433403 0.02558873 0.87161869 -0.38377225]\n", - " [-0.01370187 0.16296194 -0.39723207 -0.90286653]\n", - " [-0.94887345 -0.07978216 0.27955592 -0.12308814]\n", - " [ 0.08265733 -0.98306838 -0.06584859 -0.14966699]]\n", - "This is the 1 run out of 81 run.\n", - "The code has run 1.1394 seconds.\n", - "Estimated remaining time: 91.1538 seconds\n", + "Trace: 36.72941344970436\n", + "Determinant: 4.848420237841799e-22\n", + "Condition number: 32000861658218.707\n", + "Minimal eigen value: 8.497433764694806e-13\n", + "Eigen values: [9.53689321e+00 2.71925202e+01 8.49743376e-13 2.19946844e-12]\n", + "Eigen vectors: [[ 0.30433403 -0.02558873 -0.87126293 -0.38399438]\n", + " [-0.01370187 -0.16296194 0.39806891 -0.90276514]\n", + " [-0.94887345 0.07978216 -0.27944181 -0.12315939]\n", + " [ 0.08265733 0.98306838 0.06598731 -0.14965018]]\n", + "Model objective: 0.0\n", + "Solution of CA0 : [1.0]\n", + "Solution of T : [300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0]\n", + "======problem solver output======\n", + "converged\n", + "This is the 1 run out of 9 run.\n", + "The code has run 0.8766 seconds.\n", + "Estimated remaining time: 7.0129 seconds\n", "=======This is the 2 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1614508628845215 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 50984991113318.4 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.64382213 0.31802343 -1.72058848 -1.64440385]\n", - " [ 0.31802343 1.23915128 -0.8499045 -6.4072861 ]\n", - " [-1.72058848 -0.8499045 4.5982028 4.39460144]\n", - " [-1.64440385 -6.4072861 4.39460144 33.1301883 ]]\n", - "Trace: 39.61136450398903\n", - "Determinant: 3.159284782477742e-22\n", - "Condition number: 51006885955545.77\n", - "Minimal eigen value: 6.887979921858385e-13\n", - "Eigen values: [3.51334406e+01 4.47792387e+00 6.88797992e-13 2.91468693e-12]\n", - "Eigen vectors: [[-0.05532922 -0.34606073 -0.93275231 -0.08517022]\n", - " [-0.18749751 0.02997747 0.08866448 -0.9777395 ]\n", - " [ 0.14786507 0.92483327 -0.34902392 -0.0318698 ]\n", - " [ 0.96949434 -0.15500565 0.01714745 -0.18909207]]\n", - "This is the 2 run out of 81 run.\n", - "The code has run 2.3044 seconds.\n", - "Estimated remaining time: 91.0256 seconds\n", - "=======This is the 3 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4895288944244385 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 84296592383587.7 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.4606651 0.26807865 -1.07722036 -1.21288756]\n", - " [ 0.26807865 0.86361728 -0.62687592 -3.90732798]\n", - " [-1.07722036 -0.62687592 2.51897464 2.83621987]\n", - " [-1.21288756 -3.90732798 2.83621987 17.67821492]]\n", - "Trace: 21.521471937345723\n", - "Determinant: 4.068867335994361e-23\n", - "Condition number: 84119873373258.16\n", - "Minimal eigen value: 2.2775455567029474e-13\n", - "Eigen values: [1.91586844e+01 2.36278755e+00 2.27754556e-13 3.94369430e-12]\n", - "Eigen vectors: [[-0.07535284 -0.38590965 -0.91314357 -0.10738922]\n", - " [-0.21181621 0.04135917 0.11420276 -0.9697511 ]\n", - " [ 0.17620531 0.90241198 -0.39049891 -0.04592434]\n", - " [ 0.95833581 -0.18712504 0.02524168 -0.21433924]]\n", - "This is the 3 run out of 81 run.\n", - "The code has run 3.7971 seconds.\n", - "Estimated remaining time: 98.7254 seconds\n", - "=======This is the 4 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4328651428222656 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 113006141155298.42 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.33151528 0.18817742 -0.68908102 -0.7567873 ]\n", - " [ 0.18817742 0.51325082 -0.39114193 -2.06412542]\n", - " [-0.68908102 -0.39114193 1.43231002 1.57304342]\n", - " [-0.7567873 -2.06412542 1.57304342 8.30123121]]\n", - "Trace: 10.578307326411267\n", - "Determinant: 5.207590550335569e-24\n", - "Condition number: 113117587281468.55\n", - "Minimal eigen value: 8.17456626845312e-14\n", - "Eigen values: [9.24687213e+00 1.33143519e+00 8.17456627e-14 5.16338217e-12]\n", - "Eigen vectors: [[-0.1013268 -0.4215274 -0.8991832 -0.05931385]\n", - " [-0.23462172 0.05639834 0.06386675 -0.96834483]\n", - " [ 0.21061591 0.87617833 -0.43259498 -0.02853583]\n", - " [ 0.94357112 -0.2268158 0.01588069 -0.24078176]]\n", - "This is the 4 run out of 81 run.\n", - "The code has run 5.2330 seconds.\n", - "Estimated remaining time: 100.7360 seconds\n", - "=======This is the 5 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4074678421020508 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 148444579981147.34 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.24598022 0.14288633 -0.46016064 -0.51717771]\n", - " [ 0.14288633 0.33243516 -0.26730071 -1.20325038]\n", - " [-0.46016064 -0.26730071 0.86083266 0.96749609]\n", - " [-0.51717771 -1.20325038 0.96749609 4.35516954]]\n", - "Trace: 5.794417583976519\n", - "Determinant: 2.9317318441899153e-25\n", - "Condition number: 148238217133866.56\n", - "Minimal eigen value: 3.3855928429315215e-14\n", - "Eigen values: [5.01874247e+00 7.75675114e-01 3.38559284e-14 2.22284670e-12]\n", - "Eigen vectors: [[-0.13169743 0.45265633 0.88063902 -0.04732768]\n", - " [-0.25570165 -0.07439481 -0.05164702 -0.96250006]\n", - " [ 0.24636936 -0.84679406 0.47074824 -0.02529911]\n", - " [ 0.92551315 0.26927214 -0.01426914 -0.26592044]]\n", - "This is the 5 run out of 81 run.\n", - "The code has run 6.6438 seconds.\n", - "Estimated remaining time: 100.9856 seconds\n", - "=======This is the 6 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.6491639614105225 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 212972253670046.1 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.18990133 0.11787786 -0.32295693 -0.3878723 ]\n", - " [ 0.11787786 0.2323771 -0.20046982 -0.76462718]\n", - " [-0.32295693 -0.20046982 0.5492388 0.65963777]\n", - " [-0.3878723 -0.76462718 0.65963777 2.51597394]]\n", - "Trace: 3.4874911698459323\n", - "Determinant: 1.8512689462362107e-26\n", - "Condition number: 217618844047013.2\n", - "Minimal eigen value: 1.3913472186281608e-14\n", - "Eigen values: [3.02783373e+00 4.59657436e-01 1.39134722e-14 9.43341048e-13]\n", - "Eigen vectors: [[-0.16721128 0.47850015 0.86176614 -0.0208748 ]\n", - " [-0.27449976 -0.09592374 -0.02320564 -0.95651016]\n", - " [ 0.28436902 -0.81376425 0.50672565 -0.01227443]\n", - " [ 0.90323005 0.31563268 -0.00705247 -0.2906921 ]]\n", - "This is the 6 run out of 81 run.\n", - "The code has run 8.2962 seconds.\n", - "Estimated remaining time: 103.7027 seconds\n", - "=======This is the 7 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4439589977264404 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 410118500038863.0 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.15132033 0.0994787 -0.23589859 -0.30005304]\n", - " [ 0.0994787 0.16585006 -0.15508088 -0.50024583]\n", - " [-0.23589859 -0.15508088 0.3677506 0.46776337]\n", - " [-0.30005304 -0.50024583 0.46776337 1.50886826]]\n", - "Trace: 2.1937892586668126\n", - "Determinant: 1.1734831558205196e-27\n", - "Condition number: 411203596186456.25\n", - "Minimal eigen value: 4.66797601375524e-15\n", - "Eigen values: [1.91948852e+00 2.74300735e-01 4.66797601e-15 4.79221572e-13]\n", - "Eigen vectors: [[-2.08260428e-01 -4.98145715e-01 -8.41708527e-01 2.32703514e-03]\n", - " [-2.90340727e-01 1.21383294e-01 -2.57056972e-03 -9.49189903e-01]\n", - " [ 3.24664570e-01 7.76576692e-01 -5.39925385e-01 1.49285981e-03]\n", - " [ 8.75741271e-01 -3.66122363e-01 -8.52165267e-04 -3.14691730e-01]]\n", - "This is the 7 run out of 81 run.\n", - "The code has run 9.7441 seconds.\n", - "Estimated remaining time: 103.0094 seconds\n", - "=======This is the 8 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.4287991523742676 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 138358693491824.11 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.1212572 0.08051025 -0.17449118 -0.22415945]\n", - " [ 0.08051025 0.114104 -0.11585565 -0.31769231]\n", - " [-0.17449118 -0.11585565 0.25109578 0.32256936]\n", - " [-0.22415945 -0.31769231 0.32256936 0.88452992]]\n", - "Trace: 1.3709869089149331\n", - "Determinant: 5.345787902314352e-28\n", - "Condition number: 137889898382123.92\n", - "Minimal eigen value: 8.75538171889101e-15\n", - "Eigen values: [1.20727870e+00 1.63708213e-01 8.75538172e-15 3.11137399e-13]\n", - "Eigen vectors: [[ 0.25516385 0.51043383 0.81839598 -0.06785408]\n", - " [ 0.30235023 -0.15114386 -0.07753322 -0.9379192 ]\n", - " [-0.3671852 -0.7345228 0.56871886 -0.04715294]\n", - " [-0.84181398 0.42081956 -0.02784732 -0.33686793]]\n", - "This is the 8 run out of 81 run.\n", - "The code has run 11.1759 seconds.\n", - "Estimated remaining time: 101.9800 seconds\n", - "=======This is the 9 th iteration=======\n", + "Build time with simultaneous_finite mode [s]: 0.3724820613861084\n", + "Solve time with simultaneous_finite mode [s]: 1.7483110427856445\n", + "FIM: [[ 0.24598019 0.14288621 -0.46016056 -0.51717718]\n", + " [ 0.14288621 0.33243486 -0.26730045 -1.20324919]\n", + " [-0.46016056 -0.26730045 0.86083247 0.96749498]\n", + " [-0.51717718 -1.20324919 0.96749498 4.35516487]]\n", + "Trace: 5.79441239703121\n", + "Determinant: -1.815591332947058e-25\n", + "Condition number: -143299310696519.22\n", + "Minimal eigen value: -3.502275879610854e-14\n", + "Eigen values: [ 5.01873719e+00 7.75675203e-01 -3.50227588e-14 1.31959417e-12]\n", + "Eigen vectors: [[ 0.13169746 0.45265633 0.86838132 -0.15402943]\n", + " [ 0.25570167 -0.07439479 -0.16815949 -0.94907374]\n", + " [-0.24636939 -0.84679404 0.46419586 -0.0823369 ]\n", + " [-0.92551313 0.26927219 -0.0464593 -0.26221101]]\n", + "Model objective: 0.0\n", + "Solution of CA0 : [1.0]\n", + "Solution of T : [500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0]\n", + "======problem solver output======\n", + "converged\n", + "This is the 2 run out of 9 run.\n", + "The code has run 3.0008 seconds.\n", + "Estimated remaining time: 10.5027 seconds\n", + "=======This is the 3 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.608335256576538 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 9964967654536.89 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "Build time with simultaneous_finite mode [s]: 0.5022358894348145\n", + "Solve time with simultaneous_finite mode [s]: 1.095961093902588\n", "FIM: [[ 0.0955446 0.06080451 -0.12766957 -0.15720165]\n", - " [ 0.06080451 0.07360905 -0.08124883 -0.19030598]\n", + " [ 0.06080451 0.07360905 -0.08124883 -0.19030599]\n", " [-0.12766957 -0.08124883 0.17059592 0.21005761]\n", - " [-0.15720165 -0.19030598 0.21005761 0.49200974]]\n", - "Trace: 0.8317593128931969\n", - "Determinant: 1.5570448887512526e-27\n", - "Condition number: 9960578250070.64\n", - "Minimal eigen value: 7.374668532805774e-14\n", - "Eigen values: [7.34559630e-01 9.71996830e-02 2.95853129e-13 7.37466853e-14]\n", - "Eigen vectors: [[ 0.30847679 0.51365626 -0.71923262 -0.35182425]\n", - " [ 0.30926344 -0.18572861 -0.40972047 0.83778653]\n", - " [-0.41219601 -0.68636271 -0.53825515 -0.2632963 ]\n", - " [-0.79955778 0.48017534 -0.15847699 0.32405015]]\n", - "This is the 9 run out of 81 run.\n", - "The code has run 12.7875 seconds.\n", - "Estimated remaining time: 102.3003 seconds\n", - "=======This is the 10 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.2164638042449951 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 31973145999846.64 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 2.02748549 0.16565439 -6.32143261 -0.99930574]\n", - " [ 0.16565439 1.62884509 -0.51648732 -9.82601319]\n", - " [-6.32143261 -0.51648732 19.70939392 3.11569604]\n", - " [-0.99930574 -9.82601319 3.11569604 59.27545577]]\n", - "Trace: 82.64118027936469\n", - "Determinant: 1.2428953932933016e-20\n", - "Condition number: 31971742466986.04\n", - "Minimal eigen value: 1.9136639362180647e-12\n", - "Eigen values: [2.14580097e+01 6.11831705e+01 1.91366394e-12 4.94773844e-12]\n", - "Eigen vectors: [[ 0.30433403 -0.02558873 -0.87115069 -0.38400492]\n", - " [-0.01370187 -0.16296194 0.39833249 -0.90276033]\n", - " [-0.94887345 0.07978216 -0.27940581 -0.12316277]\n", - " [ 0.08265733 0.98306838 0.06603101 -0.14964938]]\n", - "This is the 10 run out of 81 run.\n", - "The code has run 14.0079 seconds.\n", - "Estimated remaining time: 99.4561 seconds\n", - "=======This is the 11 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1987950801849365 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 50960411894677.57 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.44859978 0.71555272 -3.87132407 -3.69990866]\n", - " [ 0.71555272 2.78809038 -1.91228513 -14.41639372]\n", - " [ -3.87132407 -1.91228513 10.34595631 9.88785324]\n", - " [ -3.69990866 -14.41639372 9.88785324 74.54292366]]\n", - "Trace: 89.12557013075498\n", - "Determinant: 8.097547105911343e-21\n", - "Condition number: 51021003936316.61\n", - "Minimal eigen value: 1.5493666397017185e-12\n", - "Eigen values: [7.90502414e+01 1.00753287e+01 1.54936664e-12 6.55664434e-12]\n", - "Eigen vectors: [[-0.05532922 -0.34606073 -0.93273059 -0.08499528]\n", - " [-0.18749751 0.02997747 0.08891531 -0.97775623]\n", - " [ 0.14786507 0.92483327 -0.34901578 -0.03180434]\n", - " [ 0.96949434 -0.15500565 0.01719596 -0.18909531]]\n", - "This is the 11 run out of 81 run.\n", - "The code has run 15.2104 seconds.\n", - "Estimated remaining time: 96.7936 seconds\n", - "=======This is the 12 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5123708248138428 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 82958670491440.22 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.03649652 0.60317702 -2.42374599 -2.72899725]\n", - " [ 0.60317702 1.94313885 -1.41047111 -8.79148777]\n", - " [-2.42374599 -1.41047111 5.66769355 6.38149604]\n", - " [-2.72899725 -8.79148777 6.38149604 39.77598278]]\n", - "Trace: 48.4233116870135\n", - "Determinant: 1.0596779554647109e-21\n", - "Condition number: 82701057430321.11\n", - "Minimal eigen value: 5.212392795276966e-13\n", - "Eigen values: [4.31070396e+01 5.31627210e+00 5.21239280e-13 8.88465684e-12]\n", - "Eigen vectors: [[-0.07535285 -0.38590964 -0.91258659 -0.11253227]\n", - " [-0.2118162 0.04135917 0.11911813 -0.96909319]\n", - " [ 0.17620535 0.90241197 -0.39026071 -0.04812373]\n", - " [ 0.95833581 -0.18712508 0.02632811 -0.21419382]]\n", - "This is the 12 run out of 81 run.\n", - "The code has run 16.7254 seconds.\n", - "Estimated remaining time: 96.1709 seconds\n", - "=======This is the 13 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4442291259765625 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 112012216056165.58 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.74590936 0.42339918 -1.55043228 -1.70277138]\n", - " [ 0.42339918 1.15481435 -0.88006934 -4.64428219]\n", - " [-1.55043228 -0.88006934 3.22269753 3.53934769]\n", - " [-1.70277138 -4.64428219 3.53934769 18.67777025]]\n", - "Trace: 23.801191490347254\n", - "Determinant: 1.3458279892815638e-22\n", - "Condition number: 111118663958515.56\n", - "Minimal eigen value: 1.8723643327211134e-13\n", - "Eigen values: [2.08054623e+01 2.99572918e+00 1.87236433e-13 1.16189002e-11]\n", - "Eigen vectors: [[-0.1013268 -0.4215274 -0.899163 -0.05965722]\n", - " [-0.23462172 0.05639834 0.06419571 -0.96832037]\n", - " [ 0.21061591 0.87617833 -0.43258526 -0.02870102]\n", - " [ 0.94357112 -0.2268158 0.01596248 -0.24077568]]\n", - "This is the 13 run out of 81 run.\n", - "The code has run 18.1727 seconds.\n", - "Estimated remaining time: 95.0574 seconds\n", - "=======This is the 14 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4429600238800049 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 148225493001349.84 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.5534555 0.32149425 -1.03536143 -1.16364985]\n", - " [ 0.32149425 0.7479791 -0.60142659 -2.70731335]\n", - " [-1.03536143 -0.60142659 1.93687349 2.1768662 ]\n", - " [-1.16364985 -2.70731335 2.1768662 9.79913147]]\n", - "Trace: 13.037439564017397\n", - "Determinant: 7.511437493000537e-24\n", - "Condition number: 149018706285813.8\n", - "Minimal eigen value: 7.577686613010485e-14\n", - "Eigen values: [1.12921706e+01 1.74526901e+00 7.57768661e-14 5.00061389e-12]\n", - "Eigen vectors: [[-0.13169743 0.45265633 0.88064531 -0.04731374]\n", - " [-0.25570165 -0.07439481 -0.05151871 -0.96250088]\n", - " [ 0.24636936 -0.84679406 0.4707516 -0.02529166]\n", - " [ 0.92551315 0.26927214 -0.01423369 -0.26592066]]\n", - "This is the 14 run out of 81 run.\n", - "The code has run 19.6185 seconds.\n", - "Estimated remaining time: 93.8886 seconds\n", - "=======This is the 15 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.5783569812774658 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 199132210297141.9 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.42727795 0.26522517 -0.72665305 -0.87271261]\n", - " [ 0.26522517 0.52284848 -0.45105708 -1.72041117]\n", - " [-0.72665305 -0.45105708 1.23578727 1.48418495]\n", - " [-0.87271261 -1.72041117 1.48418495 5.66094141]]\n", - "Trace: 7.846855102898291\n", - "Determinant: 5.075748439734619e-25\n", - "Condition number: 201006166390696.8\n", - "Minimal eigen value: 3.389262134493229e-14\n", - "Eigen values: [6.81262589e+00 1.03422922e+00 3.38926213e-14 2.12202017e-12]\n", - "Eigen vectors: [[-0.16721127 0.47850015 0.86181047 -0.01914375]\n", - " [-0.27449976 -0.09592374 -0.02108036 -0.95655477]\n", - " [ 0.28436901 -0.81376425 0.5067517 -0.01125656]\n", - " [ 0.90323006 0.31563267 -0.00640658 -0.29070566]]\n", - "This is the 15 run out of 81 run.\n", - "The code has run 21.1996 seconds.\n", - "Estimated remaining time: 93.2782 seconds\n", - "=======This is the 16 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3943848609924316 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 419571799901484.94 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.34047074 0.22382707 -0.53077181 -0.67511934]\n", - " [ 0.22382707 0.37316264 -0.34893198 -1.12555312]\n", - " [-0.53077181 -0.34893198 0.82743885 1.05246757]\n", - " [-0.67511934 -1.12555312 1.05246757 3.39495359]]\n", - "Trace: 4.936025811607012\n", - "Determinant: 2.99938160906495e-26\n", - "Condition number: 419003987816063.56\n", - "Minimal eigen value: 1.030741779441667e-14\n", - "Eigen values: [4.31884916e+00 6.17176652e-01 1.03074178e-14 1.07785952e-12]\n", - "Eigen vectors: [[ 2.08260427e-01 4.98145716e-01 8.41709483e-01 2.01228634e-03]\n", - " [ 2.90340728e-01 -1.21383294e-01 2.13586970e-03 -9.49190817e-01]\n", - " [-3.24664568e-01 -7.76576692e-01 5.39925998e-01 1.29095974e-03]\n", - " [-8.75741272e-01 3.66122361e-01 7.08046556e-04 -3.14692034e-01]]\n", - "This is the 16 run out of 81 run.\n", - "The code has run 22.5971 seconds.\n", - "Estimated remaining time: 91.8006 seconds\n", - "=======This is the 17 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.480205774307251 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 1048539784332604.2 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.27282869 0.18114806 -0.39260515 -0.50435873]\n", - " [ 0.18114806 0.25673401 -0.2606752 -0.71480767]\n", - " [-0.39260515 -0.2606752 0.56496551 0.72578099]\n", - " [-0.50435873 -0.71480767 0.72578099 1.9901921 ]]\n", - "Trace: 3.0847203144787736\n", - "Determinant: 1.3483706559449644e-27\n", - "Condition number: 994261808019791.5\n", - "Minimal eigen value: 2.7320538745812395e-15\n", - "Eigen values: [2.71637682e+00 3.68343490e-01 2.73205387e-15 5.14836974e-13]\n", - "Eigen vectors: [[-0.25516387 0.51043383 0.82111798 0.01064446]\n", - " [-0.30235024 -0.15114385 0.01223496 -0.94105847]\n", - " [ 0.36718522 -0.73452279 0.57061042 0.00739717]\n", - " [ 0.84181396 0.42081958 0.00439429 -0.33799547]]\n", - "This is the 17 run out of 81 run.\n", - "The code has run 24.0800 seconds.\n", - "Estimated remaining time: 90.6542 seconds\n", - "=======This is the 18 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.691422939300537 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 94839714542627.23 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.21497535 0.13681015 -0.28725654 -0.3537037 ]\n", - " [ 0.13681015 0.16562035 -0.18280987 -0.42818846]\n", - " [-0.28725654 -0.18280987 0.38384083 0.47262962]\n", - " [-0.3537037 -0.42818846 0.47262962 1.10702192]]\n", - "Trace: 1.8714584503325047\n", - "Determinant: 1.2513854982833315e-27\n", - "Condition number: 96196702536858.25\n", - "Minimal eigen value: 1.7181037605225666e-14\n", - "Eigen values: [1.65275916e+00 2.18699287e-01 1.71810376e-14 1.99871968e-13]\n", - "Eigen vectors: [[-0.30847678 0.51365626 0.79677395 0.07811184]\n", - " [-0.30926344 -0.18572861 0.09135979 -0.92821392]\n", - " [ 0.41219601 -0.68636271 0.59628511 0.05845698]\n", - " [ 0.79955778 0.48017534 0.03533724 -0.35902681]]\n", - "This is the 18 run out of 81 run.\n", - "The code has run 25.7744 seconds.\n", - "Estimated remaining time: 90.2102 seconds\n", - "=======This is the 19 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1622440814971924 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 31966372534290.87 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 3.60441866 0.2944967 -11.23810242 -1.77654353]\n", - " [ 0.2944967 2.89572461 -0.91819967 -17.4684679 ]\n", - " [-11.23810242 -0.91819967 35.03892253 5.53901518]\n", - " [ -1.77654353 -17.4684679 5.53901518 105.37858803]]\n", - "Trace: 146.91765382256895\n", - "Determinant: 1.241698893902478e-19\n", - "Condition number: 31960557275349.055\n", - "Minimal eigen value: 3.4032598370949167e-12\n", - "Eigen values: [3.81475729e+01 1.08770081e+02 3.40325984e-12 8.79498923e-12]\n", - "Eigen vectors: [[ 0.30433403 -0.02558873 -0.8712971 -0.38437586]\n", - " [-0.01370187 -0.16296194 0.39798862 -0.90259087]\n", - " [-0.94887345 0.07978216 -0.27945277 -0.12328174]\n", - " [ 0.08265733 0.98306838 0.065974 -0.14962129]]\n", - "This is the 19 run out of 81 run.\n", - "The code has run 26.9396 seconds.\n", - "Estimated remaining time: 87.9081 seconds\n", - "=======This is the 20 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1782920360565186 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 50988508188931.664 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 2.5752885 1.27209373 -6.88235391 -6.5776154 ]\n", - " [ 1.27209373 4.95660511 -3.399618 -25.6291444 ]\n", - " [ -6.88235391 -3.399618 18.39281122 17.57840577]\n", - " [ -6.5776154 -25.6291444 17.57840577 132.52075317]]\n", - "Trace: 158.44545800381212\n", - "Determinant: 8.090159605163825e-20\n", - "Condition number: 51005826934892.195\n", - "Minimal eigen value: 2.7552491738399765e-12\n", - "Eigen values: [1.40533763e+02 1.79116955e+01 2.75524917e-12 1.16670098e-11]\n", - "Eigen vectors: [[-0.05532922 -0.34606073 -0.93267616 -0.08482047]\n", - " [-0.18749751 0.02997747 0.08954056 -0.97777291]\n", - " [ 0.14786507 0.92483327 -0.34899542 -0.03173893]\n", - " [ 0.96949434 -0.15500565 0.01731688 -0.18909853]]\n", - "This is the 20 run out of 81 run.\n", - "The code has run 28.1212 seconds.\n", - "Estimated remaining time: 85.7697 seconds\n", - "=======This is the 21 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.46903395652771 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 83862999502896.86 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.84266038 1.07231461 -4.30888139 -4.85155021]\n", - " [ 1.07231461 3.4544691 -2.50750365 -15.62931179]\n", - " [ -4.30888139 -2.50750365 10.07589844 11.34487936]\n", - " [ -4.85155021 -15.62931179 11.34487936 70.71285913]]\n", - "Trace: 86.08588704673811\n", - "Determinant: 1.0435028094266959e-20\n", - "Condition number: 83951225028456.88\n", - "Minimal eigen value: 9.128483461334003e-13\n", - "Eigen values: [7.66347369e+01 9.45115012e+00 9.12848346e-13 1.57781778e-11]\n", - "Eigen vectors: [[-0.07535284 -0.38590965 -0.91309366 -0.1078996 ]\n", - " [-0.21181621 0.04135917 0.11465194 -0.96968721]\n", - " [ 0.17620531 0.90241198 -0.39047757 -0.0461426 ]\n", - " [ 0.95833581 -0.18712504 0.02534097 -0.21432512]]\n", - "This is the 21 run out of 81 run.\n", - "The code has run 29.5934 seconds.\n", - "Estimated remaining time: 84.5526 seconds\n", - "=======This is the 22 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.3738529682159424 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 112127370466808.56 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.3260611 0.75270966 -2.75632409 -3.02714919]\n", - " [ 0.75270966 2.05300328 -1.56456776 -8.25650167]\n", - " [-2.75632409 -1.56456776 5.72924015 6.29217382]\n", - " [-3.02714919 -8.25650167 6.29217382 33.20492484]]\n", - "Trace: 42.31322937680249\n", - "Determinant: 1.3443500959505542e-21\n", - "Condition number: 111822932733537.47\n", - "Minimal eigen value: 3.3076836460019954e-13\n", - "Eigen values: [3.69874886e+01 5.32574079e+00 3.30768365e-13 2.06532763e-11]\n", - "Eigen vectors: [[-0.1013268 -0.4215274 -0.89916541 -0.0595232 ]\n", - " [-0.23462172 0.05639835 0.0641566 -0.96832994]\n", - " [ 0.21061591 0.87617833 -0.43258642 -0.02863655]\n", - " [ 0.94357112 -0.22681581 0.01595276 -0.24077805]]\n", - "This is the 22 run out of 81 run.\n", - "The code has run 30.9703 seconds.\n", - "Estimated remaining time: 83.0568 seconds\n", - "=======This is the 23 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4204819202423096 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 148009532916978.06 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.9839209 0.57154533 -1.84064255 -2.06871085]\n", - " [ 0.57154533 1.32974063 -1.06920283 -4.81300151]\n", - " [-1.84064255 -1.06920283 3.44333065 3.86998436]\n", - " [-2.06871085 -4.81300151 3.86998436 17.42067816]]\n", - "Trace: 23.177670334025915\n", - "Determinant: 7.484298754243516e-23\n", - "Condition number: 148034002422452.72\n", - "Minimal eigen value: 1.3561053236139931e-13\n", - "Eigen values: [2.00749699e+01 3.10270046e+00 1.35610532e-13 8.89147711e-12]\n", - "Eigen vectors: [[ 0.13169743 0.45265633 0.88063898 -0.04738043]\n", - " [ 0.25570165 -0.07439481 -0.05164776 -0.96249696]\n", - " [-0.24636936 -0.84679406 0.47074822 -0.0253273 ]\n", - " [-0.92551315 0.26927214 -0.01426934 -0.26591958]]\n", - "This is the 23 run out of 81 run.\n", - "The code has run 32.3941 seconds.\n", - "Estimated remaining time: 81.6895 seconds\n", - "=======This is the 24 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.537688970565796 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 213412213716161.8 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.75960531 0.47151146 -1.29182772 -1.55148923]\n", - " [ 0.47151146 0.9295084 -0.80187929 -3.05850872]\n", - " [-1.29182772 -0.80187929 2.19695523 2.63855111]\n", - " [-1.55148923 -3.05850872 2.63855111 10.06389575]]\n", - "Trace: 13.949964696437021\n", - "Determinant: 4.78139252367893e-24\n", - "Condition number: 212133827655797.03\n", - "Minimal eigen value: 5.709289782847456e-14\n", - "Eigen values: [1.21113349e+01 1.83862975e+00 5.70928978e-14 3.77235192e-12]\n", - "Eigen vectors: [[-0.16721128 -0.47850015 -0.86177319 -0.02088608]\n", - " [-0.27449976 0.09592374 0.02288081 -0.95650986]\n", - " [ 0.28436903 0.81376425 -0.50672979 -0.01228106]\n", - " [ 0.90323005 -0.31563268 0.00695375 -0.29069201]]\n", - "This is the 24 run out of 81 run.\n", - "The code has run 33.9346 seconds.\n", - "Estimated remaining time: 80.5947 seconds\n", - "=======This is the 25 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3819878101348877 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 169724373531195.72 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.60528098 0.39791443 -0.9435939 -1.20021144]\n", - " [ 0.39791443 0.66339987 -0.62032308 -2.00098258]\n", - " [-0.9435939 -0.62032308 1.47100187 1.87105264]\n", - " [-1.20021144 -2.00098258 1.87105264 6.03547192]]\n", - "Trace: 8.775154646704024\n", - "Determinant: 7.405066616149595e-25\n", - "Condition number: 167781522526101.5\n", - "Minimal eigen value: 4.576160526784532e-14\n", - "Eigen values: [7.67795181e+00 1.09720284e+00 4.57616053e-14 1.93823237e-12]\n", - "Eigen vectors: [[-0.20826036 0.49814572 0.8416191 -0.01264309]\n", - " [-0.29034069 -0.1213833 -0.01407345 -0.94908646]\n", - " [ 0.32466451 -0.77657673 0.539868 -0.00810987]\n", - " [ 0.87574132 0.36612227 -0.00466597 -0.31465739]]\n", - "This is the 25 run out of 81 run.\n", - "The code has run 35.3197 seconds.\n", - "Estimated remaining time: 79.1161 seconds\n", - "=======This is the 26 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3901948928833008 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 956111663275971.9 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.48502878 0.32204099 -0.6979647 -0.89663774]\n", - " [ 0.32204099 0.45641602 -0.46342258 -1.27076918]\n", - " [-0.6979647 -0.46342258 1.00438313 1.29027731]\n", - " [-0.89663774 -1.27076918 1.29027731 3.53811929]]\n", - "Trace: 5.483947215487153\n", - "Determinant: 1.4148755063528674e-26\n", - "Condition number: 986721993155298.0\n", - "Minimal eigen value: 4.894098215368669e-15\n", - "Eigen values: [4.82911435e+00 6.54832870e-01 4.89409822e-15 9.14772739e-13]\n", - "Eigen vectors: [[-0.25516387 0.51043383 0.82111823 0.01071622]\n", - " [-0.30235024 -0.15114385 0.01221273 -0.9410574 ]\n", - " [ 0.36718522 -0.73452279 0.5706106 0.00744704]\n", - " [ 0.84181397 0.42081958 0.0043863 -0.33799508]]\n", - "This is the 26 run out of 81 run.\n", - "The code has run 36.7130 seconds.\n", - "Estimated remaining time: 77.6621 seconds\n", - "=======This is the 27 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5488462448120117 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 609153849626585.0 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.38217841 0.24321804 -0.51067829 -0.62880658]\n", - " [ 0.24321804 0.29443618 -0.32499532 -0.76122393]\n", - " [-0.51067829 -0.32499532 0.68238369 0.84023044]\n", - " [-0.62880658 -0.76122393 0.84023044 1.96803896]]\n", - "Trace: 3.3270372443667684\n", - "Determinant: 1.7683232970295237e-27\n", - "Condition number: 642873598236677.0\n", - "Minimal eigen value: 4.570476250479508e-15\n", - "Eigen values: [2.93823851e+00 3.88798732e-01 4.57047625e-15 3.34640586e-13]\n", - "Eigen vectors: [[-0.30847678 0.51365626 0.80040922 0.01801673]\n", - " [-0.30926344 -0.18572861 0.02161914 -0.93242721]\n", - " [ 0.41219601 -0.68636271 0.59900566 0.01348335]\n", - " [ 0.79955778 0.48017534 0.00836203 -0.36065647]]\n", - "This is the 27 run out of 81 run.\n", - "The code has run 38.2645 seconds.\n", - "Estimated remaining time: 76.5290 seconds\n", - "=======This is the 28 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.0892679691314697 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 31968463649405.285 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 5.63190415 0.46015109 -17.55953504 -2.77584927]\n", - " [ 0.46015109 4.5245697 -1.43468699 -27.29448109]\n", - " [-17.55953504 -1.43468699 54.74831645 8.65471123]\n", - " [ -2.77584927 -27.29448109 8.65471123 164.65404379]]\n", - "Trace: 229.5588340907823\n", - "Determinant: 7.400262960120086e-19\n", - "Condition number: 31988737378580.867\n", - "Minimal eigen value: 5.312909023551414e-12\n", - "Eigen values: [5.96055826e+01 1.69953251e+02 5.31290902e-12 1.37528897e-11]\n", - "Eigen vectors: [[ 0.30433403 -0.02558873 -0.87150915 -0.38294389]\n", - " [-0.01370187 -0.16296194 0.39748996 -0.90324397]\n", - " [-0.94887345 0.07978216 -0.27952078 -0.12282246]\n", - " [ 0.08265733 0.98306838 0.06589134 -0.14972956]]\n", - "This is the 28 run out of 81 run.\n", - "The code has run 39.3567 seconds.\n", - "Estimated remaining time: 74.4965 seconds\n", - "=======This is the 29 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.1131048202514648 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 50956035387791.13 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 4.02388829 1.98764645 -10.75367798 -10.27752407]\n", - " [ 1.98764645 7.74469549 -5.31190313 -40.04553812]\n", - " [-10.75367798 -5.31190313 28.73876753 27.46625901]\n", - " [-10.27752407 -40.04553812 27.46625901 207.06367682]]\n", - "Trace: 247.57102812051826\n", - "Determinant: 4.823050074953349e-19\n", - "Condition number: 51020795778927.45\n", - "Minimal eigen value: 4.3038137798480985e-12\n", - "Eigen values: [2.19584004e+02 2.79870242e+01 4.30381378e-12 1.82183442e-11]\n", - "Eigen vectors: [[-0.05532922 -0.34606073 -0.93266094 -0.08497247]\n", - " [-0.18749751 0.02997747 0.08971454 -0.97775841]\n", - " [ 0.14786507 0.92483327 -0.34898972 -0.03179581]\n", - " [ 0.96949434 -0.15500565 0.01735053 -0.18909573]]\n", - "This is the 29 run out of 81 run.\n", - "The code has run 40.4727 seconds.\n", - "Estimated remaining time: 72.5717 seconds\n", - "=======This is the 30 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.427731990814209 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 83918503063197.73 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 2.87915683 1.67549156 -6.73262713 -7.58054714]\n", - " [ 1.67549156 5.39760795 -3.91797439 -24.42079958]\n", - " [ -6.73262713 -3.91797439 15.74359118 17.72637374]\n", - " [ -7.58054714 -24.42079958 17.72637374 110.48884202]]\n", - "Trace: 134.5091979808507\n", - "Determinant: 6.216301905252749e-20\n", - "Condition number: 83761573644640.75\n", - "Minimal eigen value: 1.429554994567876e-12\n", - "Eigen values: [1.19741776e+02 1.47674220e+01 1.42955499e-12 2.46535439e-11]\n", - "Eigen vectors: [[-0.07535284 -0.38590965 -0.91309905 -0.1078464 ]\n", - " [-0.21181621 0.04135916 0.11460357 -0.96969388]\n", - " [ 0.17620531 0.90241198 -0.39047987 -0.04611985]\n", - " [ 0.95833582 -0.18712504 0.02533027 -0.21432659]]\n", - "This is the 30 run out of 81 run.\n", - "The code has run 41.9036 seconds.\n", - "Estimated remaining time: 71.2362 seconds\n", - "=======This is the 31 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3343431949615479 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 112660939616416.38 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 2.07197046 1.17610883 -4.30675634 -4.72992056]\n", - " [ 1.17610883 3.20781763 -2.44463704 -12.90078386]\n", - " [ -4.30675634 -2.44463704 8.95193753 9.83152126]\n", - " [ -4.72992056 -12.90078386 9.83152126 51.88269511]]\n", - "Trace: 66.11442073886099\n", - "Determinant: 7.93080557773277e-21\n", - "Condition number: 113609905780836.7\n", - "Minimal eigen value: 5.086964063760798e-13\n", - "Eigen values: [5.77929508e+01 8.32146994e+00 5.08696406e-13 3.22695496e-11]\n", - "Eigen vectors: [[ 0.1013268 -0.4215274 -0.89917792 -0.05935043]\n", - " [ 0.23462172 0.05639834 0.06395292 -0.96834224]\n", - " [-0.21061591 0.87617833 -0.43259244 -0.02855343]\n", - " [-0.94357112 -0.2268158 0.01590211 -0.24078111]]\n", - "This is the 31 run out of 81 run.\n", - "The code has run 43.2410 seconds.\n", - "Estimated remaining time: 69.7436 seconds\n", - "=======This is the 32 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3549151420593262 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 148762525007495.44 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.5373764 0.89303958 -2.87600398 -3.23236071]\n", - " [ 0.89303958 2.07771973 -1.67062943 -7.52031485]\n", - " [-2.87600398 -1.67062943 5.38020414 6.04685057]\n", - " [-3.23236071 -7.52031485 6.04685057 27.21980963]]\n", - "Trace: 36.21510989717033\n", - "Determinant: 4.455898797142603e-22\n", - "Condition number: 147933427471840.62\n", - "Minimal eigen value: 2.1203551467404089e-13\n", - "Eigen values: [3.13671404e+01 4.84796947e+00 2.12035515e-13 1.38933673e-11]\n", - "Eigen vectors: [[-0.13169743 0.45265633 0.88063146 -0.04734815]\n", - " [-0.25570165 -0.07439481 -0.05180073 -0.96249886]\n", - " [ 0.24636936 -0.84679406 0.4707442 -0.02531005]\n", - " [ 0.92551315 0.26927214 -0.0143116 -0.26592011]]\n", - "This is the 32 run out of 81 run.\n", - "The code has run 44.5988 seconds.\n", - "Estimated remaining time: 68.2919 seconds\n", - "=======This is the 33 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4926478862762451 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 214210631997420.1 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.18688331 0.73673665 -2.01848082 -2.42420183]\n", - " [ 0.73673665 1.45235687 -1.25293639 -4.77891975]\n", - " [-2.01848082 -1.25293639 3.43274255 4.12273594]\n", - " [-2.42420183 -4.77891975 4.12273594 15.72483629]]\n", - "Trace: 21.79681902105506\n", - "Determinant: 2.857945636578471e-23\n", - "Condition number: 212630542912551.44\n", - "Minimal eigen value: 8.899925547252e-14\n", - "Eigen values: [1.89239600e+01 2.87285901e+00 8.89992555e-14 5.93199181e-12]\n", - "Eigen vectors: [[ 0.16721129 0.47850015 0.86176909 -0.0206796 ]\n", - " [ 0.27449976 -0.09592374 -0.02307021 -0.95651538]\n", - " [-0.28436903 -0.81376424 0.50672738 -0.01215965]\n", - " [-0.90323005 0.31563269 -0.00701131 -0.29069369]]\n", - "This is the 33 run out of 81 run.\n", - "The code has run 46.0947 seconds.\n", - "Estimated remaining time: 67.0468 seconds\n", - "=======This is the 34 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3745770454406738 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 414850007033785.75 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.94575206 0.62174186 -1.47436615 -1.87533151]\n", - " [ 0.62174186 1.03656288 -0.96925551 -3.12653645]\n", - " [-1.47436615 -0.96925551 2.29844125 2.92352104]\n", - " [-1.87533151 -3.12653645 2.92352104 9.43042663]]\n", - "Trace: 13.711182821112676\n", - "Determinant: 1.7768223375772625e-24\n", - "Condition number: 415833335951541.5\n", - "Minimal eigen value: 2.885002762962962e-14\n", - "Eigen values: [1.19968032e+01 1.71437959e+00 2.88500276e-14 2.99560165e-12]\n", - "Eigen vectors: [[-2.08260427e-01 4.98145716e-01 8.41709572e-01 2.10263984e-03]\n", - " [-2.90340728e-01 -1.21383294e-01 2.09050927e-03 -9.49190568e-01]\n", - " [ 3.24664568e-01 -7.76576692e-01 5.39926056e-01 1.34891823e-03]\n", - " [ 8.75741271e-01 3.66122361e-01 6.93007757e-04 -3.14691951e-01]]\n", - "This is the 34 run out of 81 run.\n", - "The code has run 47.4718 seconds.\n", - "Estimated remaining time: 65.6228 seconds\n", - "=======This is the 35 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4573919773101807 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 1101943374796574.5 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.75785748 0.50318904 -1.09056985 -1.40099647]\n", - " [ 0.50318904 0.71315003 -0.72409778 -1.98557685]\n", - " [-1.09056985 -0.72409778 1.56934863 2.01605829]\n", - " [-1.40099647 -1.98557685 2.01605829 5.52831138]]\n", - "Trace: 8.568667520593298\n", - "Determinant: 8.00230717749934e-26\n", - "Condition number: 1026760114530438.0\n", - "Minimal eigen value: 7.348835483014285e-15\n", - "Eigen values: [7.54549116e+00 1.02317636e+00 7.34883548e-15 1.42959101e-12]\n", - "Eigen vectors: [[-0.25516386 0.51043383 0.82111634 0.0106255 ]\n", - " [-0.30235024 -0.15114385 0.01237916 -0.94105875]\n", - " [ 0.36718521 -0.73452279 0.57060928 0.00738399]\n", - " [ 0.84181397 0.42081958 0.00444608 -0.33799557]]\n", - "This is the 35 run out of 81 run.\n", - "The code has run 48.9322 seconds.\n", - "Estimated remaining time: 64.3109 seconds\n", - "=======This is the 36 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.549124002456665 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 1127821855853820.0 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.59715376 0.38002818 -0.79793482 -0.98251028]\n", - " [ 0.38002818 0.46005653 -0.50780519 -1.1894124 ]\n", - " [-0.79793482 -0.50780519 1.06622452 1.31286006]\n", - " [-0.98251028 -1.1894124 1.31286006 3.07506088]]\n", - "Trace: 5.198495694677646\n", - "Determinant: 5.7967039251776346e-27\n", - "Condition number: 1122717925186380.5\n", - "Minimal eigen value: 4.089181773522092e-15\n", - "Eigen values: [4.59099768e+00 6.07498018e-01 4.08918177e-15 5.24545296e-13]\n", - "Eigen vectors: [[ 0.30847678 0.51365626 0.80048964 0.01508258]\n", - " [ 0.30926344 -0.18572861 0.01710743 -0.93249788]\n", - " [-0.41219601 -0.68636271 0.59906585 0.0112875 ]\n", - " [-0.79955778 0.48017534 0.00661693 -0.36068381]]\n", - "This is the 36 run out of 81 run.\n", - "The code has run 50.4837 seconds.\n", - "Estimated remaining time: 63.1047 seconds\n", - "=======This is the 37 th iteration=======\n", + " [-0.15720165 -0.19030599 0.21005761 0.49200974]]\n", + "Trace: 0.8317593142962652\n", + "Determinant: -8.691222222811781e-29\n", + "Condition number: -26139710189148.05\n", + "Minimal eigen value: -2.810129210688892e-14\n", + "Eigen values: [ 7.34559632e-01 9.71996827e-02 -2.81012921e-14 4.32504556e-14]\n", + "Eigen vectors: [[-0.30847678 0.51365626 0.74429827 -0.29485143]\n", + " [-0.30926345 -0.18572861 -0.34364034 -0.86711226]\n", + " [ 0.41219601 -0.68636272 0.5570137 -0.22065914]\n", + " [ 0.79955778 0.48017534 -0.13291783 -0.33539306]]\n", + "Model objective: 0.0\n", + "Solution of CA0 : [1.0]\n", + "Solution of T : [700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0]\n", + "======problem solver output======\n", + "converged\n", + "This is the 3 run out of 9 run.\n", + "The code has run 4.6021 seconds.\n", + "Estimated remaining time: 9.2042 seconds\n", + "=======This is the 4 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.121924877166748 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 31994922634936.023 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 8.10994198 0.66261757 -25.28573045 -3.99722295]\n", - " [ 0.66261757 6.51538037 -2.06594926 -39.30405276]\n", - " [-25.28573045 -2.06594926 78.83757569 12.46278416]\n", - " [ -3.99722295 -39.30405276 12.46278416 237.10182305]]\n", - "Trace: 330.5647210839628\n", - "Determinant: 3.1828366144137634e-18\n", - "Condition number: 31963549326799.43\n", - "Minimal eigen value: 7.656617843276287e-12\n", - "Eigen values: [8.58320390e+01 2.44732682e+02 7.65661784e-12 1.97947178e-11]\n", - "Eigen vectors: [[ 0.30433403 0.02558873 0.87131426 -0.38420766]\n", - " [-0.01370187 0.16296194 -0.39794829 -0.90266773]\n", - " [-0.94887345 -0.07978216 0.27945828 -0.12322779]\n", - " [ 0.08265733 -0.98306838 -0.06596732 -0.14963404]]\n", - "This is the 37 run out of 81 run.\n", - "The code has run 51.6089 seconds.\n", - "Estimated remaining time: 61.3727 seconds\n", - "=======This is the 38 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1540107727050781 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 50938599445893.03 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 5.79439914 2.86221089 -15.48529629 -14.79963467]\n", - " [ 2.86221089 11.1523615 -7.64914051 -57.66557489]\n", - " [-15.48529629 -7.64914051 41.38382524 39.55141299]\n", - " [-14.79963467 -57.66557489 39.55141299 298.1716946 ]]\n", - "Trace: 356.5022804802285\n", - "Determinant: 2.0740217679505315e-18\n", - "Condition number: 51006446723145.17\n", - "Minimal eigen value: 6.199235311664675e-12\n", - "Eigen values: [3.16200966e+02 4.03013148e+01 6.19923531e-12 2.62513800e-11]\n", - "Eigen vectors: [[-0.05532922 -0.34606073 -0.9326501 -0.08503568]\n", - " [-0.18749751 0.02997747 0.08983828 -0.97775237]\n", - " [ 0.14786507 0.92483327 -0.34898567 -0.03181946]\n", - " [ 0.96949434 -0.15500565 0.01737446 -0.18909456]]\n", - "This is the 38 run out of 81 run.\n", - "The code has run 52.7658 seconds.\n", - "Estimated remaining time: 59.7086 seconds\n", - "=======This is the 39 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4249231815338135 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 83914448312949.81 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 4.14598582 2.41270783 -9.69498302 -10.91598781]\n", - " [ 2.41270783 7.77255543 -5.64188306 -35.1659513 ]\n", - " [ -9.69498302 -5.64188306 22.67077119 25.52597791]\n", - " [-10.91598781 -35.1659513 25.52597791 159.10393202]]\n", - "Trace: 193.69324445280347\n", - "Determinant: 2.6694282462873097e-19\n", - "Condition number: 83788523885205.25\n", - "Minimal eigen value: 2.057897057744139e-12\n", - "Eigen values: [1.72428157e+02 2.12650877e+01 2.05789706e-12 3.54975904e-11]\n", - "Eigen vectors: [[-0.07535284 -0.38590965 -0.91312419 -0.10784179]\n", - " [-0.21181621 0.04135916 0.11437744 -0.96969446]\n", - " [ 0.1762053 0.90241198 -0.39049062 -0.04611788]\n", - " [ 0.95833582 -0.18712504 0.02528029 -0.21432672]]\n", - "This is the 39 run out of 81 run.\n", - "The code has run 54.1934 seconds.\n", - "Estimated remaining time: 58.3621 seconds\n", - "=======This is the 40 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3173530101776123 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 115286057882518.55 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 2.98363798 1.69359716 -6.20172992 -6.81108714]\n", - " [ 1.69359716 4.61925739 -3.52027779 -18.57712832]\n", - " [ -6.20172992 -3.52027779 12.89079114 14.15739192]\n", - " [ -6.81108714 -18.57712832 14.15739192 74.71107744]]\n", - "Trace: 95.20476394560681\n", - "Determinant: 3.333179583917739e-20\n", - "Condition number: 115165954930945.31\n", - "Minimal eigen value: 7.226254220331789e-13\n", - "Eigen values: [8.32218468e+01 1.19829172e+01 7.22625422e-13 4.63612460e-11]\n", - "Eigen vectors: [[-0.10132682 -0.4215274 -0.8992967 -0.0575314 ]\n", - " [-0.23462172 0.05639835 0.06198564 -0.96846954]\n", - " [ 0.21061594 0.87617832 -0.43264959 -0.0276783 ]\n", - " [ 0.94357111 -0.22681584 0.01541293 -0.24081277]]\n", - "This is the 40 run out of 81 run.\n", - "The code has run 55.5135 seconds.\n", - "Estimated remaining time: 56.9013 seconds\n", - "=======This is the 41 th iteration=======\n", + "Build time with simultaneous_finite mode [s]: 0.41927289962768555\n", + "Solve time with simultaneous_finite mode [s]: 0.5688638687133789\n", + "FIM: [[ 8.10994198 0.66261758 -25.28573045 -3.99722296]\n", + " [ 0.66261758 6.51538037 -2.06594927 -39.30405278]\n", + " [-25.28573045 -2.06594927 78.83757565 12.4627842 ]\n", + " [ -3.99722296 -39.30405278 12.4627842 237.10182305]]\n", + "Trace: 330.5647210472488\n", + "Determinant: 3.182166140053707e-18\n", + "Condition number: 31971143902888.63\n", + "Minimal eigen value: 7.654799054477695e-12\n", + "Eigen values: [8.58320389e+01 2.44732682e+02 7.65479905e-12 1.97950855e-11]\n", + "Eigen vectors: [[ 0.30433403 0.02558873 0.87157028 -0.38399578]\n", + " [-0.01370187 0.16296194 -0.39734607 -0.90276451]\n", + " [-0.94887345 -0.07978216 0.27954039 -0.12315983]\n", + " [ 0.08265733 -0.98306838 -0.06586749 -0.14965008]]\n", + "Model objective: 0.0\n", + "Solution of CA0 : [3.0]\n", + "Solution of T : [300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0]\n", + "======problem solver output======\n", + "converged\n", + "This is the 4 run out of 9 run.\n", + "The code has run 5.5931 seconds.\n", + "Estimated remaining time: 6.9914 seconds\n", + "=======This is the 5 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.324026107788086 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 41168138702842.7 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 2.21382197 1.28597696 -4.14144562 -4.65459925]\n", - " [ 1.28597696 2.99191641 -2.40570629 -10.82925334]\n", - " [ -4.14144562 -2.40570629 7.74749375 8.70746447]\n", - " [ -4.65459925 -10.82925334 8.70746447 39.19652556]]\n", - "Trace: 52.14975768479293\n", - "Determinant: 6.782297953927814e-21\n", - "Condition number: 41152186377278.164\n", - "Minimal eigen value: 1.0976010191783274e-12\n", - "Eigen values: [4.51686817e+01 6.98107598e+00 1.09760102e-12 1.95826004e-11]\n", - "Eigen vectors: [[ 0.13169743 0.45265633 0.87760035 -0.08693655]\n", - " [ 0.25570165 -0.0743948 -0.09512941 -0.95919425]\n", - " [-0.24636935 -0.84679406 0.46912391 -0.04647215]\n", - " [-0.92551315 0.26927213 -0.02628249 -0.2650071 ]]\n", - "This is the 41 run out of 81 run.\n", - "The code has run 56.8406 seconds.\n", - "Estimated remaining time: 55.4542 seconds\n", - "=======This is the 42 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5078649520874023 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 215077561836700.75 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.70911196 1.06090078 -2.90661238 -3.49085078]\n", - " [ 1.06090078 2.09139389 -1.8042284 -6.88164462]\n", - " [-2.90661238 -1.8042284 4.94314928 5.93674001]\n", - " [-3.49085078 -6.88164462 5.93674001 22.64376544]]\n", - "Trace: 31.38742057163297\n", - "Determinant: 1.211200899404302e-22\n", - "Condition number: 217509062808743.06\n", - "Minimal eigen value: 1.2528445152515524e-13\n", - "Eigen values: [2.72505036e+01 4.13691694e+00 1.25284452e-13 8.48993070e-12]\n", - "Eigen vectors: [[-0.16721128 0.47850015 0.86175858 -0.02104833]\n", - " [-0.27449976 -0.09592374 -0.02354877 -0.95650547]\n", - " [ 0.28436903 -0.81376425 0.5067212 -0.01237646]\n", - " [ 0.90323005 0.31563269 -0.00715675 -0.29069068]]\n", - "This is the 42 run out of 81 run.\n", - "The code has run 58.3508 seconds.\n", - "Estimated remaining time: 54.1829 seconds\n", - "=======This is the 43 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.3849210739135742 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 411714811573923.56 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.36188297 0.89530828 -2.12308727 -2.70047739]\n", - " [ 0.89530828 1.49265055 -1.39572795 -4.50221251]\n", - " [-2.12308727 -1.39572795 3.30975542 4.20987033]\n", - " [-2.70047739 -4.50221251 4.20987033 13.57981439]]\n", - "Trace: 19.74410333335743\n", - "Determinant: 7.640852758703803e-24\n", - "Condition number: 410199689285125.5\n", - "Minimal eigen value: 4.2114602158539056e-14\n", - "Eigen values: [1.72753967e+01 2.46870661e+00 4.21146022e-14 4.31319594e-12]\n", - "Eigen vectors: [[ 2.08260428e-01 4.98145715e-01 8.41708495e-01 2.31779652e-03]\n", - " [ 2.90340727e-01 -1.21383294e-01 2.58385595e-03 -9.49189931e-01]\n", - " [-3.24664570e-01 -7.76576692e-01 5.39925364e-01 1.48693360e-03]\n", - " [-8.75741271e-01 3.66122362e-01 8.56570111e-04 -3.14691740e-01]]\n", - "This is the 43 run out of 81 run.\n", - "The code has run 59.7384 seconds.\n", - "Estimated remaining time: 52.7921 seconds\n", - "=======This is the 44 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4121510982513428 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 1075787668428671.1 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.09131476 0.72459222 -1.57042058 -2.01743491]\n", - " [ 0.72459222 1.02693604 -1.04270081 -2.85923066]\n", - " [-1.57042058 -1.04270081 2.25986203 2.90312393]\n", - " [-2.01743491 -2.85923066 2.90312393 7.96076839]]\n", - "Trace: 12.338881222383927\n", - "Determinant: 3.5540974659279856e-25\n", - "Condition number: 974809267609388.6\n", - "Minimal eigen value: 1.1146290487440619e-14\n", - "Eigen values: [1.08655073e+01 1.47337396e+00 1.11462905e-14 2.05789429e-12]\n", - "Eigen vectors: [[-0.25516386 0.51043383 0.8211149 0.01073989]\n", - " [-0.30235024 -0.15114385 0.0125035 -0.94105705]\n", - " [ 0.36718521 -0.73452279 0.57060828 0.00746348]\n", - " [ 0.84181397 0.42081958 0.00449074 -0.33799495]]\n", - "This is the 44 run out of 81 run.\n", - "The code has run 61.1539 seconds.\n", - "Estimated remaining time: 51.4248 seconds\n", - "=======This is the 45 th iteration=======\n", + "Build time with simultaneous_finite mode [s]: 0.434459924697876\n", + "Solve time with simultaneous_finite mode [s]: 1.3273720741271973\n", + "FIM: [[ 2.21382202 1.285977 -4.14144573 -4.65459942]\n", + " [ 1.285977 2.99191641 -2.40570637 -10.82925338]\n", + " [ -4.14144573 -2.40570637 7.74749395 8.70746482]\n", + " [ -4.65459942 -10.82925338 8.70746482 39.19652586]]\n", + "Trace: 52.14975824125779\n", + "Determinant: -7.385416287631517e-20\n", + "Condition number: -2489296357382.7974\n", + "Minimal eigen value: -1.8145160610161754e-11\n", + "Eigen values: [ 4.51686822e+01 6.98107603e+00 -1.81451606e-11 1.29089123e-11]\n", + "Eigen vectors: [[-0.13169743 0.45265633 0.81114771 0.3461436 ]\n", + " [-0.25570165 -0.07439481 0.37829325 -0.88654095]\n", + " [ 0.24636936 -0.84679406 0.43360143 0.18503214]\n", + " [ 0.92551315 0.26927214 0.10451518 -0.2449344 ]]\n", + "Model objective: 0.0\n", + "Solution of CA0 : [3.0]\n", + "Solution of T : [500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0]\n", + "======problem solver output======\n", + "converged\n", + "This is the 5 run out of 9 run.\n", + "The code has run 7.3575 seconds.\n", + "Estimated remaining time: 5.8860 seconds\n", + "=======This is the 6 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.6088638305664062 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 3292793152958638.5 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 0.85990141 0.54724058 -1.14902614 -1.41481481]\n", - " [ 0.54724058 0.66248141 -0.73123948 -1.71275385]\n", - " [-1.14902614 -0.73123948 1.53536331 1.89051849]\n", - " [-1.41481481 -1.71275385 1.89051849 4.42808767]]\n", - "Trace: 7.48583380118574\n", - "Determinant: 9.433523439230846e-27\n", - "Condition number: 3290582578512315.5\n", - "Minimal eigen value: 2.009077875200423e-15\n", - "Eigen values: [6.61103666e+00 8.74797146e-01 2.00907788e-15 7.53577191e-13]\n", - "Eigen vectors: [[-0.30847678 0.51365626 0.80040388 0.01815343]\n", - " [-0.30926344 -0.18572861 0.02188536 -0.93242361]\n", - " [ 0.41219601 -0.68636271 0.59900167 0.01358565]\n", - " [ 0.79955778 0.48017534 0.008465 -0.36065508]]\n", - "This is the 45 run out of 81 run.\n", - "The code has run 62.7652 seconds.\n", - "Estimated remaining time: 50.2122 seconds\n", - "=======This is the 46 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.0906169414520264 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 31974589233357.95 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 11.03853214 0.90189614 -34.41668867 -5.44066457]\n", - " [ 0.90189614 8.86815661 -2.8119865 -53.49718292]\n", - " [-34.41668867 -2.8119865 107.30670024 16.963234 ]\n", - " [ -5.44066457 -53.49718292 16.963234 322.72192581]]\n", - "Trace: 449.93531480218786\n", - "Determinant: 1.0928438774913943e-17\n", - "Condition number: 31950746665929.22\n", - "Minimal eigen value: 1.0425683516801004e-11\n", - "Eigen values: [1.16826942e+02 3.33108373e+02 1.04256835e-11 2.69573450e-11]\n", - "Eigen vectors: [[ 0.30433403 0.02558873 0.87142326 -0.3841487 ]\n", - " [-0.01370187 0.16296194 -0.39769202 -0.90269467]\n", - " [-0.94887345 -0.07978216 0.27949324 -0.12320888]\n", - " [ 0.08265733 -0.98306838 -0.06592484 -0.1496385 ]]\n", - "This is the 46 run out of 81 run.\n", - "The code has run 63.8589 seconds.\n", - "Estimated remaining time: 48.5883 seconds\n", - "=======This is the 47 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1055700778961182 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 51036712838143.23 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 7.88682105 3.89578705 -21.07720884 -20.14394719]\n", - " [ 3.89578705 15.17960315 -10.41133014 -78.48925471]\n", - " [-21.07720884 -10.41133014 56.32798436 53.83386769]\n", - " [-20.14394719 -78.48925471 53.83386769 405.84480653]]\n", - "Trace: 485.2392150846087\n", - "Determinant: 7.115027645064233e-18\n", - "Condition number: 51024112428436.05\n", - "Minimal eigen value: 8.43492668840288e-12\n", - "Eigen values: [4.30384648e+02 5.48545674e+01 8.43492669e-12 3.57222033e-11]\n", - "Eigen vectors: [[ 0.05532922 -0.34606073 -0.93271341 -0.08520167]\n", - " [ 0.18749751 0.02997747 0.08911315 -0.97773649]\n", - " [-0.14786507 0.92483327 -0.34900936 -0.03188157]\n", - " [-0.96949434 -0.15500565 0.01723422 -0.18909149]]\n", - "This is the 47 run out of 81 run.\n", - "The code has run 64.9674 seconds.\n", - "Estimated remaining time: 46.9977 seconds\n", - "=======This is the 48 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4113216400146484 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 81319600366152.22 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 5.64314734 3.28396341 -13.19594896 -14.85787222]\n", - " [ 3.28396341 10.57931155 -7.67922937 -47.86476702]\n", - " [-13.19594896 -7.67922937 30.85743794 34.74369055]\n", - " [-14.85787222 -47.86476702 34.74369055 216.5581296 ]]\n", - "Trace: 263.63802644063105\n", - "Determinant: 9.50072449703477e-19\n", - "Condition number: 81635411936970.39\n", - "Minimal eigen value: 2.8749028612588234e-12\n", - "Eigen values: [2.34693879e+02 2.89441471e+01 2.87490286e-12 4.86098393e-11]\n", - "Eigen vectors: [[ 0.07535284 -0.38590965 -0.91017257 -0.13033018]\n", - " [ 0.21181621 0.04135916 0.13838921 -0.96657479]\n", - " [-0.1762053 0.90241198 -0.38922838 -0.05573487]\n", - " [-0.95833582 -0.18712503 0.03058749 -0.21363719]]\n", - "This is the 48 run out of 81 run.\n", - "The code has run 66.3814 seconds.\n", - "Estimated remaining time: 45.6372 seconds\n", - "=======This is the 49 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.296360969543457 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 112902746594243.67 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 4.06106212 2.30517333 -8.44124245 -9.27064435]\n", - " [ 2.30517333 6.28732256 -4.79148862 -25.28553636]\n", - " [ -8.44124245 -4.79148862 17.54579762 19.26978176]\n", - " [ -9.27064435 -25.28553636 19.26978176 101.69008237]]\n", - "Trace: 129.5842646631724\n", - "Determinant: 1.1708299674237567e-19\n", - "Condition number: 112794226569740.42\n", - "Minimal eigen value: 1.004255155733207e-12\n", - "Eigen values: [1.13274184e+02 1.63100811e+01 1.00425516e-12 6.32476050e-11]\n", - "Eigen vectors: [[-0.1013268 -0.4215274 -0.89918031 -0.05936375]\n", - " [-0.23462172 0.05639834 0.06391387 -0.96834129]\n", - " [ 0.21061591 0.87617833 -0.43259359 -0.02855984]\n", - " [ 0.94357112 -0.2268158 0.0158924 -0.24078088]]\n", - "This is the 49 run out of 81 run.\n", - "The code has run 67.6807 seconds.\n", - "Estimated remaining time: 44.1996 seconds\n", - "=======This is the 50 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.325160026550293 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 103712614163112.97 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 3.01325686 1.75035695 -5.63696653 -6.33542423]\n", - " [ 1.75035695 4.07233069 -3.27443307 -14.73981654]\n", - " [ -5.63696653 -3.27443307 10.54519851 11.85182409]\n", - " [ -6.33542423 -14.73981654 11.85182409 53.35082243]]\n", - "Trace: 70.98160848723539\n", - "Determinant: 9.694114480774225e-21\n", - "Condition number: 103856509470543.8\n", - "Minimal eigen value: 5.919666386365361e-13\n", - "Eigen values: [6.14795888e+01 9.50201968e+00 5.91966639e-13 2.79787160e-11]\n", - "Eigen vectors: [[-0.13169739 0.45265632 0.88155488 -0.02486264]\n", - " [-0.25570167 -0.07439479 -0.02719341 -0.96350592]\n", - " [ 0.24636932 -0.84679408 0.4712378 -0.01329036]\n", - " [ 0.92551316 0.26927209 -0.00751308 -0.26619835]]\n", - "This is the 50 run out of 81 run.\n", - "The code has run 69.0090 seconds.\n", - "Estimated remaining time: 42.7856 seconds\n", - "=======This is the 51 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4925920963287354 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 212784363115282.97 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 2.32629127 1.44400384 -3.9562224 -4.75143577]\n", - " [ 1.44400384 2.84661946 -2.45575531 -9.36668296]\n", - " [-3.9562224 -2.45575531 6.72817539 8.08056277]\n", - " [-4.75143577 -9.36668296 8.08056277 30.82068074]]\n", - "Trace: 42.721766870102954\n", - "Determinant: 4.179267542624099e-22\n", - "Condition number: 214690946368747.94\n", - "Minimal eigen value: 1.727644499867642e-13\n", - "Eigen values: [3.70909633e+01 5.63080360e+00 1.72764450e-13 1.15583170e-11]\n", - "Eigen vectors: [[ 0.16721128 0.47850015 0.86177001 -0.02106801]\n", - " [ 0.27449976 -0.09592374 -0.02302804 -0.95650494]\n", - " [-0.28436903 -0.81376425 0.50672792 -0.01238804]\n", - " [-0.90323005 0.31563268 -0.00699849 -0.29069051]]\n", - "This is the 51 run out of 81 run.\n", - "The code has run 70.5050 seconds.\n", - "Estimated remaining time: 41.4735 seconds\n", - "=======This is the 52 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.393301010131836 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 246734353972071.12 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.85367477 1.21861481 -2.88975859 -3.67565133]\n", - " [ 1.21861481 2.03166404 -1.89974177 -6.12801304]\n", - " [-2.88975859 -1.89974177 4.504946 5.73010301]\n", - " [-3.67565133 -6.12801304 5.73010301 18.48363859]]\n", - "Trace: 26.873923395556673\n", - "Determinant: 4.646316941686013e-23\n", - "Condition number: 252112329906528.5\n", - "Minimal eigen value: 9.326691473955586e-14\n", - "Eigen values: [2.35137392e+01 3.36018422e+00 9.32669147e-14 6.25418204e-12]\n", - "Eigen vectors: [[-0.20826048 0.49814571 0.84155868 -0.01601416]\n", - " [-0.29034076 -0.12138329 -0.01809278 -0.94902171]\n", - " [ 0.32466461 -0.77657666 0.53982929 -0.01027239]\n", - " [ 0.87574123 0.36612243 -0.00599849 -0.314636 ]]\n", - "This is the 52 run out of 81 run.\n", - "The code has run 71.9012 seconds.\n", - "Estimated remaining time: 40.0987 seconds\n", - "=======This is the 53 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.422379732131958 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 838120763006961.4 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.48540048 0.98625036 -2.1375167 -2.74595278]\n", - " [ 0.98625036 1.3977739 -1.41923146 -3.89173033]\n", - " [-2.1375167 -1.41923146 3.07592307 3.9514739 ]\n", - " [-2.74595278 -3.89173033 3.9514739 10.83548987]]\n", - "Trace: 16.79458733073986\n", - "Determinant: 1.4793483536085062e-24\n", - "Condition number: 818796459099663.4\n", - "Minimal eigen value: 1.8062073350908428e-14\n", - "Eigen values: [1.47891617e+01 2.00542563e+00 1.80620734e-14 2.79228735e-12]\n", - "Eigen vectors: [[-0.25516385 0.51043383 0.82111908 0.01033918]\n", - " [-0.30235023 -0.15114386 0.01213776 -0.94106294]\n", - " [ 0.3671852 -0.7345228 0.57061118 0.00718504]\n", - " [ 0.84181398 0.42081956 0.00435937 -0.33799706]]\n", - "This is the 53 run out of 81 run.\n", - "The code has run 73.3265 seconds.\n", - "Estimated remaining time: 38.7386 seconds\n", - "=======This is the 54 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5763657093048096 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 199614174489461.0 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.17042137 0.74485523 -1.56395223 -1.92572016]\n", - " [ 0.74485523 0.90171079 -0.99529815 -2.33124828]\n", - " [-1.56395223 -0.99529815 2.08980001 2.57320568]\n", - " [-1.92572016 -2.33124828 2.57320568 6.02711932]]\n", - "Trace: 10.1890514898748\n", - "Determinant: 4.959171063805354e-25\n", - "Condition number: 201900942236124.38\n", - "Minimal eigen value: 4.45681693287922e-14\n", - "Eigen values: [8.99835538e+00 1.19069611e+00 4.45681693e-14 1.03320493e-12]\n", - "Eigen vectors: [[-0.30847678 0.51365626 0.7998801 0.03365298]\n", - " [-0.30926344 -0.18572861 0.04020506 -0.93183911]\n", - " [ 0.412196 -0.68636272 0.59860968 0.02518512]\n", - " [ 0.79955779 0.48017534 0.01555094 -0.360429 ]]\n", - "This is the 54 run out of 81 run.\n", - "The code has run 74.9055 seconds.\n", - "Estimated remaining time: 37.4528 seconds\n", - "=======This is the 55 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.130354881286621 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 31991496514087.72 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 14.41767463 1.1779868 -44.9524097 -7.10617413]\n", - " [ 1.1779868 11.58289843 -3.67279869 -69.87387157]\n", - " [-44.9524097 -3.67279869 140.15569011 22.15606074]\n", - " [ -7.10617413 -69.87387157 22.15606074 421.51435207]]\n", - "Trace: 587.6706152454356\n", - "Determinant: 3.177844438240962e-17\n", - "Condition number: 31972784813593.0\n", - "Minimal eigen value: 1.3607833232875797e-11\n", - "Eigen values: [1.52590292e+02 4.35080324e+02 1.36078332e-11 3.51706483e-11]\n", - "Eigen vectors: [[ 0.30433403 0.02558873 0.87139794 -0.38418694]\n", - " [-0.01370187 0.16296194 -0.39775158 -0.9026772 ]\n", - " [-0.94887345 -0.07978216 0.27948511 -0.12322115]\n", - " [ 0.08265733 -0.98306838 -0.06593471 -0.1496356 ]]\n", - "This is the 55 run out of 81 run.\n", - "The code has run 76.0386 seconds.\n", - "Estimated remaining time: 35.9455 seconds\n", - "=======This is the 56 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.128141164779663 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 51023680020910.5 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 10.30115402 5.08837492 -27.52941563 -26.31046163]\n", - " [ 5.08837492 19.82642044 -13.59847203 -102.51657757]\n", - " [ -27.52941563 -13.59847203 73.57124488 70.3136231 ]\n", - " [ -26.31046163 -102.51657757 70.3136231 530.0830126 ]]\n", - "Trace: 633.7818319431226\n", - "Determinant: 2.0704407802109134e-17\n", - "Condition number: 51029716440996.0\n", - "Minimal eigen value: 1.1015837226331646e-11\n", - "Eigen values: [5.62135050e+02 7.16467819e+01 1.10158372e-11 4.66421776e-11]\n", - "Eigen vectors: [[ 0.05532922 -0.34606073 -0.93268803 -0.08529488]\n", - " [ 0.18749751 0.02997747 0.0894045 -0.97772756]\n", - " [-0.14786507 0.92483327 -0.34899986 -0.03191645]\n", - " [-0.96949434 -0.15500565 0.01729057 -0.18908976]]\n", - "This is the 56 run out of 81 run.\n", - "The code has run 77.1696 seconds.\n", - "Estimated remaining time: 34.4507 seconds\n", - "=======This is the 57 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.4076740741729736 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 84049708490003.67 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 7.37064143 4.28925834 -17.23552531 -19.40620044]\n", - " [ 4.28925834 13.81787628 -10.03001425 -62.51724657]\n", - " [-17.23552531 -10.03001425 40.30359305 45.3795159 ]\n", - " [-19.40620044 -62.51724657 45.3795159 282.85143392]]\n", - "Trace: 344.3435446762198\n", - "Determinant: 2.6674131494984245e-18\n", - "Condition number: 84078203416734.73\n", - "Minimal eigen value: 3.6458788600059765e-12\n", - "Eigen values: [3.06538944e+02 3.78046003e+01 3.64587886e-12 6.31134767e-11]\n", - "Eigen vectors: [[-0.07535284 -0.38590965 -0.91311868 -0.10766677]\n", - " [-0.21181621 0.04135916 0.114427 -0.96971639]\n", - " [ 0.1762053 0.90241198 -0.39048827 -0.04604304]\n", - " [ 0.95833582 -0.18712504 0.02529125 -0.21433157]]\n", - "This is the 57 run out of 81 run.\n", - "The code has run 78.5798 seconds.\n", - "Estimated remaining time: 33.0862 seconds\n", - "=======This is the 58 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3124737739562988 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 114757221247789.86 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 5.30424442 3.01083865 -11.02529609 -12.10859676]\n", - " [ 3.01083865 8.21201314 -6.25827054 -33.02600666]\n", - " [-11.02529609 -6.25827054 22.91695939 25.16869327]\n", - " [-12.10859676 -33.02600666 25.16869327 132.81969935]]\n", - "Trace: 169.25291630455848\n", - "Determinant: 3.3686134293265003e-19\n", - "Condition number: 114858519413992.42\n", - "Minimal eigen value: 1.2881060471447405e-12\n", - "Eigen values: [1.47949953e+02 2.13029629e+01 1.28810605e-12 8.26047341e-11]\n", - "Eigen vectors: [[ 0.1013268 -0.4215274 -0.89923768 -0.05841017]\n", - " [ 0.23462172 0.05639834 0.06297093 -0.96840854]\n", - " [-0.2106159 0.87617833 -0.43262119 -0.02810107]\n", - " [-0.94357113 -0.22681579 0.01565793 -0.2407976 ]]\n", - "This is the 58 run out of 81 run.\n", - "The code has run 79.8954 seconds.\n", - "Estimated remaining time: 31.6826 seconds\n", - "=======This is the 59 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3187329769134521 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 124301760159173.05 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 3.93568358 2.28618132 -7.36257009 -8.27484329]\n", - " [ 2.28618132 5.3189625 -4.2768112 -19.25200589]\n", - " [ -7.36257009 -4.2768112 13.77332226 15.47993684]\n", - " [ -8.27484329 -19.25200589 15.47993684 69.68271177]]\n", - "Trace: 92.71068011149625\n", - "Determinant: 2.3389608185153297e-20\n", - "Condition number: 124994583813514.16\n", - "Minimal eigen value: 6.424268627154211e-13\n", - "Eigen values: [8.02998783e+01 1.24108018e+01 6.42426863e-13 3.63300951e-11]\n", - "Eigen vectors: [[-0.13169743 0.45265633 0.8796837 -0.06250468]\n", - " [-0.25570165 -0.0743948 -0.0683832 -0.96146509]\n", - " [ 0.24636935 -0.84679406 0.47023757 -0.03341202]\n", - " [ 0.92551315 0.26927214 -0.01889302 -0.2656345 ]]\n", - "This is the 59 run out of 81 run.\n", - "The code has run 81.2170 seconds.\n", - "Estimated remaining time: 30.2843 seconds\n", - "=======This is the 60 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4856178760528564 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 215561259094702.06 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 3.03842126 1.88604583 -5.16731089 -6.20595694]\n", - " [ 1.88604583 3.71803359 -3.20751713 -12.23403489]\n", - " [ -5.16731089 -3.20751713 8.78782089 10.55420439]\n", - " [ -6.20595694 -12.23403489 10.55420439 40.25558301]]\n", - "Trace: 55.79985874329278\n", - "Determinant: 1.2114410595591407e-21\n", - "Condition number: 215552435345182.97\n", - "Minimal eigen value: 2.2474967485322031e-13\n", - "Eigen values: [4.84453398e+01 7.35451899e+00 2.24749675e-13 1.50950314e-11]\n", - "Eigen vectors: [[-0.16721128 0.47850015 0.86175307 -0.02140911]\n", - " [-0.27449976 -0.09592374 -0.02379611 -0.95649561]\n", - " [ 0.28436902 -0.81376425 0.50671796 -0.01258861]\n", - " [ 0.90323005 0.31563268 -0.00723191 -0.29068768]]\n", - "This is the 60 run out of 81 run.\n", - "The code has run 82.7058 seconds.\n", - "Estimated remaining time: 28.9470 seconds\n", - "=======This is the 61 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.382962942123413 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 75983175842912.4 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 2.42112523 1.59165997 -3.77437813 -4.80084861]\n", - " [ 1.59165997 2.65360275 -2.48129628 -8.003936 ]\n", - " [-3.77437813 -2.48129628 5.88401215 7.48421652]\n", - " [-4.80084861 -8.003936 7.48421652 24.14189218]]\n", - "Trace: 35.100632318538985\n", - "Determinant: 5.280570247325311e-22\n", - "Condition number: 75918297593793.3\n", - "Minimal eigen value: 4.0453778774305635e-13\n", - "Eigen values: [3.07118202e+01 4.38881216e+00 4.04537788e-13 9.67958453e-12]\n", - "Eigen vectors: [[-0.20826042 0.49814566 0.83726588 0.08640606]\n", - " [-0.29034081 -0.12138325 0.09742885 -0.94417892]\n", - " [ 0.32466467 -0.77657669 0.53707551 0.05542636]\n", - " [ 0.87574121 0.36612246 0.03230118 -0.31303048]]\n", - "This is the 61 run out of 81 run.\n", - "The code has run 84.0915 seconds.\n", - "Estimated remaining time: 27.5710 seconds\n", - "=======This is the 62 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.434234857559204 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 158233888351822.9 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.94011537 1.28816394 -2.79185906 -3.58655127]\n", - " [ 1.28816394 1.82566385 -1.85369024 -5.08307643]\n", - " [-2.79185906 -1.85369024 4.01753274 5.16110944]\n", - " [-3.58655127 -5.08307643 5.16110944 14.15247714]]\n", - "Trace: 21.93578910141312\n", - "Determinant: 2.251102158204349e-23\n", - "Condition number: 155072612764980.72\n", - "Minimal eigen value: 1.2456395227807508e-13\n", - "Eigen values: [1.93164575e+01 2.61933157e+00 1.24563952e-13 3.62072807e-12]\n", - "Eigen vectors: [[-0.25516389 0.51043383 0.82110513 0.01208236]\n", - " [-0.30235022 -0.15114387 0.01331919 -0.94103567]\n", - " [ 0.36718523 -0.73452277 0.5706015 0.00839642]\n", - " [ 0.84181396 0.4208196 0.00478371 -0.33798726]]\n", - "This is the 62 run out of 81 run.\n", - "The code has run 85.5285 seconds.\n", - "Estimated remaining time: 26.2104 seconds\n", - "=======This is the 63 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5922040939331055 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 272808132159177.62 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.52871362 0.97287215 -2.04271314 -2.51522632]\n", - " [ 0.97287215 1.17774473 -1.2999813 -3.04489574]\n", - " [-2.04271314 -1.2999813 2.72953478 3.36092176]\n", - " [-2.51522632 -3.04489574 3.36092176 7.87215585]]\n", - "Trace: 13.308148972982796\n", - "Determinant: 1.056493715921064e-24\n", - "Condition number: 273407313922069.4\n", - "Minimal eigen value: 4.298697748326271e-14\n", - "Eigen values: [1.17529540e+01 1.55519493e+00 4.29869775e-14 1.33975800e-12]\n", - "Eigen vectors: [[-0.30847678 0.51365626 0.80040364 0.01925145]\n", - " [-0.30926344 -0.18572861 0.02189742 -0.93239373]\n", - " [ 0.41219601 -0.68636272 0.59900148 0.01440738]\n", - " [ 0.79955778 0.48017534 0.00846967 -0.36064352]]\n", - "This is the 63 run out of 81 run.\n", - "The code has run 87.1236 seconds.\n", - "Estimated remaining time: 24.8925 seconds\n", - "=======This is the 64 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.1038150787353516 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 31962639199564.137 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 18.24736945 1.49088954 -56.89289352 -8.99375163]\n", - " [ 1.49088954 14.65960583 -4.64838584 -88.43411871]\n", - " [-56.89289352 -4.64838584 177.3845453 28.04126437]\n", - " [ -8.99375163 -88.43411871 28.04126437 533.47910183]]\n", - "Trace: 743.7706224135975\n", - "Determinant: 8.154251274460275e-17\n", - "Condition number: 31956326451658.17\n", - "Minimal eigen value: 1.7231283938455177e-11\n", - "Eigen values: [1.93122088e+02 5.50648535e+02 1.72312839e-11 4.44900157e-11]\n", - "Eigen vectors: [[ 0.30433403 0.02558873 0.87168401 -0.38461806]\n", - " [-0.01370187 0.16296194 -0.3970782 -0.90248012]\n", - " [-0.94887345 -0.07978216 0.27957687 -0.12335942]\n", - " [ 0.08265733 -0.98306838 -0.06582308 -0.14960293]]\n", - "This is the 64 run out of 81 run.\n", - "The code has run 88.2301 seconds.\n", - "Estimated remaining time: 23.4361 seconds\n", - "=======This is the 65 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1327991485595703 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 51058262760072.85 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 13.03739806 6.43997451 -34.84191666 -33.29917801]\n", - " [ 6.43997451 25.09281337 -17.21056616 -129.74754349]\n", - " [ -34.84191666 -17.21056616 93.1136068 88.99067924]\n", - " [ -33.29917801 -129.74754349 88.99067924 670.88631282]]\n", - "Trace: 802.130131053093\n", - "Determinant: 5.313216735608404e-17\n", - "Condition number: 51008976951749.46\n", - "Minimal eigen value: 1.3947587565899942e-11\n", - "Eigen values: [7.11452173e+02 9.06779584e+01 1.39475876e-11 5.89886682e-11]\n", - "Eigen vectors: [[-0.05532922 -0.34606073 -0.93264651 -0.08537116]\n", - " [-0.18749751 0.02997747 0.08987927 -0.97772025]\n", - " [ 0.14786507 0.92483327 -0.34898432 -0.03194499]\n", - " [ 0.96949434 -0.15500565 0.01738238 -0.18908835]]\n", - "This is the 65 run out of 81 run.\n", - "The code has run 89.3660 seconds.\n", - "Estimated remaining time: 21.9978 seconds\n", - "=======This is the 66 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4285500049591064 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 84218709787528.31 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 9.32846806 5.42859258 -21.81371171 -24.5609743 ]\n", - " [ 5.42859258 17.48824961 -12.69423675 -79.12339422]\n", - " [-21.81371171 -12.69423675 51.00923491 57.43345404]\n", - " [-24.5609743 -79.12339422 57.43345404 357.98388356]]\n", - "Trace: 435.80983614113256\n", - "Determinant: 6.8933831415213056e-18\n", - "Condition number: 83759583347543.08\n", - "Minimal eigen value: 4.631868662708731e-12\n", - "Eigen values: [3.87963389e+02 4.78464468e+01 4.63186866e-12 8.03417991e-11]\n", - "Eigen vectors: [[-0.07535284 -0.38590965 -0.91316967 -0.10731948]\n", - " [-0.2118162 0.04135917 0.11396715 -0.96975981]\n", - " [ 0.1762053 0.90241198 -0.39051008 -0.04589451]\n", - " [ 0.95833582 -0.18712503 0.02518961 -0.21434115]]\n", - "This is the 66 run out of 81 run.\n", - "The code has run 90.7971 seconds.\n", - "Estimated remaining time: 20.6357 seconds\n", - "=======This is the 67 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3093760013580322 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 112747813399580.8 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 6.71318434 3.81059266 -13.95389062 -15.32494278]\n", - " [ 3.81059266 10.39332913 -7.92062409 -41.79853968]\n", - " [-13.95389062 -7.92062409 29.00427777 31.85412917]\n", - " [-15.32494278 -41.79853968 31.85412917 168.09993199]]\n", - "Trace: 214.2107232401503\n", - "Determinant: 8.749158610990202e-19\n", - "Condition number: 113108801624300.81\n", - "Minimal eigen value: 1.6554782466480666e-12\n", - "Eigen values: [1.87249161e+02 2.69615626e+01 1.65547825e-12 1.04563599e-10]\n", - "Eigen vectors: [[-0.1013268 -0.4215274 -0.89917855 -0.05935427]\n", - " [-0.23462172 0.05639834 0.06394259 -0.96834196]\n", - " [ 0.21061591 0.87617833 -0.43259274 -0.02855528]\n", - " [ 0.94357112 -0.2268158 0.01589954 -0.24078104]]\n", - "This is the 67 run out of 81 run.\n", - "The code has run 92.1093 seconds.\n", - "Estimated remaining time: 19.2467 seconds\n", - "=======This is the 68 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.328545093536377 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 148546079396576.28 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 4.98109955 2.89344825 -9.3182529 -10.4728487 ]\n", - " [ 2.89344825 6.73181192 -5.41283934 -24.36582013]\n", - " [ -9.3182529 -5.41283934 17.4318614 19.59179585]\n", - " [-10.4728487 -24.36582013 19.59179585 88.19218319]]\n", - "Trace: 117.33695607656173\n", - "Determinant: 4.915720828493332e-20\n", - "Condition number: 147948332622647.1\n", - "Minimal eigen value: 6.869258558332589e-13\n", - "Eigen values: [1.01629535e+02 1.57074211e+01 6.86925856e-13 4.50211338e-11]\n", - "Eigen vectors: [[ 0.13169743 0.45265633 0.88064016 -0.04726196]\n", - " [ 0.25570165 -0.07439481 -0.05162379 -0.96250392]\n", - " [-0.24636936 -0.84679406 0.47074885 -0.02526398]\n", - " [-0.92551315 0.26927214 -0.01426272 -0.2659215 ]]\n", - "This is the 68 run out of 81 run.\n", - "The code has run 93.4411 seconds.\n", - "Estimated remaining time: 17.8637 seconds\n", - "=======This is the 69 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4952011108398438 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 211738296361125.62 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 3.84550191 2.38702676 -6.53987787 -7.85441426]\n", - " [ 2.38702676 4.70563626 -4.0595139 -15.48370042]\n", - " [ -6.53987787 -4.0595139 11.1220859 13.35766504]\n", - " [ -7.85441426 -15.48370042 13.35766504 50.94847228]]\n", - "Trace: 70.62169635188333\n", - "Determinant: 3.1279403717729433e-21\n", - "Condition number: 212684972288863.9\n", - "Minimal eigen value: 2.882838057698314e-13\n", - "Eigen values: [6.13136332e+01 9.30806311e+00 2.88283806e-13 1.91055807e-11]\n", - "Eigen vectors: [[-0.16721128 0.47850015 0.86176721 -0.02097565]\n", - " [-0.27449976 -0.09592374 -0.02315643 -0.95650744]\n", - " [ 0.28436903 -0.81376424 0.50672628 -0.01233373]\n", - " [ 0.90323005 0.31563269 -0.00703751 -0.29069127]]\n", - "This is the 69 run out of 81 run.\n", - "The code has run 94.9389 seconds.\n", - "Estimated remaining time: 16.5111 seconds\n", - "=======This is the 70 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4562408924102783 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 426529684720760.1 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 3.06423669 2.01444364 -4.77694635 -6.07607413]\n", - " [ 2.01444364 3.35846374 -3.14038788 -10.12997813]\n", - " [ -4.77694635 -3.14038788 7.44694969 9.47220823]\n", - " [ -6.07607413 -10.12997813 9.47220823 30.55458236]]\n", - "Trace: 44.424232478996274\n", - "Determinant: 1.9517826806362792e-22\n", - "Condition number: 418211321394731.75\n", - "Minimal eigen value: 9.294258813636451e-14\n", - "Eigen values: [3.88696426e+01 5.55458988e+00 9.29425881e-14 9.70166825e-12]\n", - "Eigen vectors: [[-2.08260428e-01 4.98145715e-01 8.41709230e-01 2.27013447e-03]\n", - " [-2.90340727e-01 -1.21383294e-01 2.25909374e-03 -9.49190078e-01]\n", - " [ 3.24664570e-01 -7.76576692e-01 5.39925835e-01 1.45636011e-03]\n", - " [ 8.75741271e-01 3.66122362e-01 7.48899391e-04 -3.14691789e-01]]\n", - "This is the 70 run out of 81 run.\n", - "The code has run 96.3978 seconds.\n", - "Estimated remaining time: 15.1482 seconds\n", - "=======This is the 71 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This run takes wall clock time: 1.4510412216186523 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 273590817356137.3 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 2.45545822 1.6303325 -3.5334464 -4.53922866]\n", - " [ 1.6303325 2.31060609 -2.34607691 -6.43326909]\n", - " [-3.5334464 -2.34607691 5.08468985 6.53202925]\n", - " [-4.53922866 -6.43326909 6.53202925 17.91172941]]\n", - "Trace: 27.762483568972993\n", - "Determinant: 3.3670681078681476e-23\n", - "Condition number: 272780586018409.44\n", - "Minimal eigen value: 8.962291820801459e-14\n", - "Eigen values: [2.44473921e+01 3.31509142e+00 8.96229182e-14 4.63687877e-12]\n", - "Eigen vectors: [[-0.25516386 0.51043382 0.82116094 0.0064625 ]\n", - " [-0.30235024 -0.15114386 0.00755287 -0.9411084 ]\n", - " [ 0.36718522 -0.73452279 0.57064026 0.00449105]\n", - " [ 0.84181396 0.42081958 0.00271264 -0.33801339]]\n", - "This is the 71 run out of 81 run.\n", - "The code has run 97.8519 seconds.\n", - "Estimated remaining time: 13.7820 seconds\n", - "=======This is the 72 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.59647798538208 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 2943260803213298.5 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 1.93477818 1.23129131 -2.58530883 -3.18333332]\n", - " [ 1.23129131 1.49058317 -1.64528883 -3.85369617]\n", - " [-2.58530883 -1.64528883 3.45456746 4.25366661]\n", - " [-3.18333332 -3.85369617 4.25366661 9.96319724]]\n", - "Trace: 16.84312604994938\n", - "Determinant: 2.7302829564266073e-25\n", - "Condition number: 2917725353267471.0\n", - "Minimal eigen value: 5.0980920645322185e-15\n", - "Eigen values: [1.48748325e+01 1.96829358e+00 5.09809206e-15 1.69518452e-12]\n", - "Eigen vectors: [[ 0.30847678 0.51365626 0.8004142 0.01866815]\n", - " [ 0.30926344 -0.18572861 0.02136736 -0.93240982]\n", - " [-0.41219601 -0.68636271 0.59900939 0.01397085]\n", - " [-0.79955778 0.48017534 0.00826465 -0.36064975]]\n", - "This is the 72 run out of 81 run.\n", - "The code has run 99.4509 seconds.\n", - "Estimated remaining time: 12.4314 seconds\n", - "=======This is the 73 th iteration=======\n", + "Build time with simultaneous_finite mode [s]: 0.43378305435180664\n", + "Solve time with simultaneous_finite mode [s]: 1.6689980030059814\n", + "FIM: [[ 0.85990146 0.54724064 -1.14902622 -1.41481492]\n", + " [ 0.54724064 0.66248148 -0.73123956 -1.71275398]\n", + " [-1.14902622 -0.73123956 1.53536341 1.89051864]\n", + " [-1.41481492 -1.71275398 1.89051864 4.42808789]]\n", + "Trace: 7.485834244651739\n", + "Determinant: 8.957377282555919e-24\n", + "Condition number: -147552189942.59723\n", + "Minimal eigen value: -4.4804737205676124e-11\n", + "Eigen values: [ 6.61103709e+00 8.74797150e-01 -3.45534400e-14 -4.48047372e-11]\n", + "Eigen vectors: [[-0.30847678 0.51365625 -0.79812061 -0.06326647]\n", + " [-0.30926345 -0.18572861 -0.07370199 0.92974687]\n", + " [ 0.41219601 -0.68636271 -0.59729292 -0.04734708]\n", + " [ 0.79955778 0.48017535 -0.02850732 0.35961975]]\n", + "Model objective: 0.0\n", + "Solution of CA0 : [3.0]\n", + "Solution of T : [700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0]\n", + "======problem solver output======\n", + "converged\n", + "This is the 6 run out of 9 run.\n", + "The code has run 9.4631 seconds.\n", + "Estimated remaining time: 4.7315 seconds\n", + "=======This is the 7 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1028211116790771 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 31981968780892.37 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 22.52761661 1.84060437 -70.23814015 -11.10339707]\n", - " [ 1.84060437 18.0982788 -5.73874795 -109.17792433]\n", - " [ -70.23814015 -5.73874795 218.9932658 34.6188449 ]\n", - " [ -11.10339707 -109.17792433 34.6188449 658.61617509]]\n", - "Trace: 918.2353363068676\n", - "Determinant: 1.893092363420347e-16\n", - "Condition number: 31980275801786.54\n", - "Minimal eigen value: 2.1257259006508354e-11\n", - "Eigen values: [2.38422330e+02 6.79813006e+02 2.12572590e-11 5.49434239e-11]\n", - "Eigen vectors: [[ 0.30433403 0.02558873 0.87144547 -0.38460604]\n", - " [-0.01370187 0.16296194 -0.39763978 -0.90248561]\n", - " [-0.94887345 -0.07978216 0.27950036 -0.12335557]\n", - " [ 0.08265733 -0.98306838 -0.06591618 -0.14960385]]\n", - "This is the 73 run out of 81 run.\n", - "The code has run 100.5565 seconds.\n", - "Estimated remaining time: 11.0199 seconds\n", - "=======This is the 74 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.1145460605621338 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 51046399799797.01 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 16.09555316 7.95058582 -43.01471192 -41.1100963 ]\n", - " [ 7.95058582 30.97878194 -21.24761254 -160.18215246]\n", - " [ -43.01471192 -21.24761254 114.95507012 109.8650361 ]\n", - " [ -41.1100963 -160.18215246 109.8650361 828.25470719]]\n", - "Trace: 990.2841124113379\n", - "Determinant: 1.2337241276382214e-16\n", - "Condition number: 51008356781855.555\n", - "Minimal eigen value: 1.7219453263562207e-11\n", - "Eigen values: [8.78336016e+02 1.11948097e+02 1.72194533e-11 7.28649438e-11]\n", - "Eigen vectors: [[ 0.05532922 -0.34606073 -0.93265905 -0.08511799]\n", - " [ 0.18749751 0.02997747 0.08973618 -0.9777445 ]\n", - " [-0.14786507 0.92483327 -0.34898902 -0.03185026]\n", - " [-0.96949434 -0.15500565 0.01735471 -0.18909304]]\n", - "This is the 74 run out of 81 run.\n", - "The code has run 101.6741 seconds.\n", - "Estimated remaining time: 9.6178 seconds\n", - "=======This is the 75 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.412053108215332 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 84054012326121.77 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 11.51662721 6.70196612 -26.93050823 -30.32218806]\n", - " [ 6.70196612 21.59043167 -15.67189717 -97.68319769]\n", - " [-26.93050823 -15.67189717 62.97436396 70.9054932 ]\n", - " [-30.32218806 -97.68319769 70.9054932 441.95536514]]\n", - "Trace: 538.0367879830014\n", - "Determinant: 1.5911022402635216e-17\n", - "Condition number: 83873584344465.7\n", - "Minimal eigen value: 5.710583420100146e-12\n", - "Eigen values: [4.78967100e+02 5.90696878e+01 5.71058342e-12 9.86193103e-11]\n", - "Eigen vectors: [[-0.07535284 -0.38590965 -0.91313067 -0.10780064]\n", - " [-0.21181621 0.04135916 0.1143191 -0.96969962]\n", - " [ 0.1762053 0.90241198 -0.39049339 -0.04610029]\n", - " [ 0.95833582 -0.18712504 0.0252674 -0.21432786]]\n", - "This is the 75 run out of 81 run.\n", - "The code has run 103.0886 seconds.\n", - "Estimated remaining time: 8.2471 seconds\n", - "=======This is the 76 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3065447807312012 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 114405515851254.39 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 8.28788215 4.7044356 -17.22702571 -18.91968316]\n", - " [ 4.7044356 12.83127053 -9.77854825 -51.6031352 ]\n", - " [-17.22702571 -9.77854825 35.80775034 39.32608514]\n", - " [-18.91968316 -51.6031352 39.32608514 207.53077853]]\n", - "Trace: 264.45768154897604\n", - "Determinant: 2.0062472748928485e-18\n", - "Condition number: 114528540474665.75\n", - "Minimal eigen value: 2.0184645738853997e-12\n", - "Eigen values: [2.31171802e+02 3.32858799e+01 2.01846457e-12 1.28997432e-10]\n", - "Eigen vectors: [[-0.1013268 -0.4215274 -0.89925567 -0.05827802]\n", - " [-0.23462172 0.05639834 0.06267214 -0.96841777]\n", - " [ 0.21061591 0.87617833 -0.43262985 -0.0280375 ]\n", - " [ 0.94357112 -0.22681581 0.01558364 -0.2407999 ]]\n", - "This is the 76 run out of 81 run.\n", - "The code has run 104.3982 seconds.\n", - "Estimated remaining time: 6.8683 seconds\n", - "=======This is the 77 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.3131518363952637 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 148100210411991.78 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 6.14950562 3.57215834 -11.50401592 -12.92944284]\n", - " [ 3.57215834 8.31087892 -6.6825177 -30.08125942]\n", - " [-11.50401592 -6.6825177 21.52081655 24.18740228]\n", - " [-12.92944284 -30.08125942 24.18740228 108.87923851]]\n", - "Trace: 144.8604396033519\n", - "Determinant: 1.142348035150912e-19\n", - "Condition number: 147923389697389.94\n", - "Minimal eigen value: 8.481996119388369e-13\n", - "Eigen values: [1.25468562e+02 1.93918779e+01 8.48199612e-13 5.55766612e-11]\n", - "Eigen vectors: [[ 0.13169743 0.45265633 0.88063823 -0.04726882]\n", - " [ 0.25570165 -0.07439481 -0.05166297 -0.96250352]\n", - " [-0.24636936 -0.84679406 0.47074782 -0.02526764]\n", - " [-0.92551315 0.26927214 -0.01427354 -0.26592139]]\n", - "This is the 77 run out of 81 run.\n", - "The code has run 105.7144 seconds.\n", - "Estimated remaining time: 5.4917 seconds\n", - "=======This is the 78 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n" ] }, @@ -3225,100 +648,84 @@ "name": "stdout", "output_type": "stream", "text": [ - "This run takes wall clock time: 1.4957077503204346 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 216982360867551.38 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 4.74753322 2.94694662 -8.0739233 -9.69680773]\n", - " [ 2.94694662 5.80942748 -5.01174556 -19.11567953]\n", - " [ -8.0739233 -5.01174556 13.73097024 16.4909445 ]\n", - " [ -9.69680773 -19.11567953 16.4909445 62.8993485 ]]\n", - "Trace: 87.18727944939067\n", - "Determinant: 7.249523529159483e-21\n", - "Condition number: 214555701517572.3\n", - "Minimal eigen value: 3.528027592607731e-13\n", - "Eigen values: [7.56958435e+01 1.14914359e+01 3.52802759e-13 2.35860894e-11]\n", - "Eigen vectors: [[-0.16721128 0.47850015 0.8617629 -0.02099295]\n", - " [-0.27449976 -0.09592374 -0.02335317 -0.95650697]\n", - " [ 0.28436903 -0.81376424 0.50672374 -0.0123439 ]\n", - " [ 0.90323005 0.31563269 -0.0070973 -0.29069113]]\n", - "This is the 78 run out of 81 run.\n", - "The code has run 107.2129 seconds.\n", - "Estimated remaining time: 4.1236 seconds\n", - "=======This is the 79 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4147489070892334 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 391481628285764.6 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 3.78300825 2.48696745 -5.89746462 -7.50132695]\n", - " [ 2.48696745 4.14625153 -3.87702206 -12.50614675]\n", - " [ -5.89746462 -3.87702206 9.19376502 11.69408555]\n", - " [ -7.50132695 -12.50614675 11.69408555 37.72171214]]\n", - "Trace: 54.84473693548664\n", - "Determinant: 4.647105658156808e-22\n", - "Condition number: 400454740648680.8\n", - "Minimal eigen value: 1.1983181608880037e-13\n", - "Eigen values: [4.79872188e+01 6.85751810e+00 1.19831816e-13 1.17462520e-11]\n", - "Eigen vectors: [[-2.08260416e-01 4.98145720e-01 8.41708957e-01 1.96819244e-03]\n", - " [-2.90340709e-01 -1.21383303e-01 2.38479963e-03 -9.49190939e-01]\n", - " [ 3.24664552e-01 -7.76576699e-01 5.39925661e-01 1.26270334e-03]\n", - " [ 8.75741286e-01 3.66122337e-01 7.90575749e-04 -3.14692060e-01]]\n", - "This is the 79 run out of 81 run.\n", - "The code has run 108.6304 seconds.\n", - "Estimated remaining time: 2.7501 seconds\n", - "=======This is the 80 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Build time with simultaneous_finite mode [s]: 0.45238804817199707\n", + "Solve time with simultaneous_finite mode [s]: 0.5244119167327881\n", + "FIM: [[ 22.52761661 1.84060438 -70.23814013 -11.10339711]\n", + " [ 1.84060438 18.09827882 -5.73874798 -109.17792438]\n", + " [ -70.23814013 -5.73874798 218.99326569 34.61884501]\n", + " [ -11.10339711 -109.17792438 34.61884501 658.61617513]]\n", + "Trace: 918.2353362424958\n", + "Determinant: 1.8955498930354072e-16\n", + "Condition number: 31991358012551.746\n", + "Minimal eigen value: 2.124989522538602e-11\n", + "Eigen values: [2.38422330e+02 6.79813006e+02 2.12498952e-11 5.49790755e-11]\n", + "Eigen vectors: [[ 0.30433403 -0.02558873 -0.8713534 -0.38383774]\n", + " [-0.01370187 -0.16296194 0.3978563 -0.90283664]\n", + " [-0.94887345 0.07978216 -0.27947083 -0.12310915]\n", + " [ 0.08265733 0.98306838 0.06595207 -0.14966203]]\n", + "Model objective: 0.0\n", + "Solution of CA0 : [5.0]\n", + "Solution of T : [300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0]\n", + "======problem solver output======\n", + "converged\n", + "This is the 7 run out of 9 run.\n", + "The code has run 10.4430 seconds.\n", + "Estimated remaining time: 2.9837 seconds\n", + "=======This is the 8 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.4330980777740479 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 1080972115588303.6 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 3.0314299 2.01275617 -4.36227939 -5.60398588]\n", - " [ 2.01275617 2.85260011 -2.89639114 -7.9423074 ]\n", - " [-4.36227939 -2.89639114 6.27739452 8.06423315]\n", - " [-5.60398588 -7.9423074 8.06423315 22.11324554]]\n", - "Trace: 34.27467007353134\n", - "Determinant: 2.0179262044105243e-23\n", - "Condition number: 1001413933887065.1\n", - "Minimal eigen value: 3.0139349593310815e-14\n", - "Eigen values: [3.01819646e+01 4.09270543e+00 3.01393496e-14 5.71574174e-12]\n", - "Eigen vectors: [[-0.25516387 0.51043383 0.82111547 0.01082018]\n", - " [-0.30235024 -0.15114385 0.01245421 -0.94105584]\n", - " [ 0.36718521 -0.73452279 0.57060868 0.00751928]\n", - " [ 0.84181397 0.42081958 0.00447303 -0.33799452]]\n", - "This is the 80 run out of 81 run.\n", - "The code has run 110.0664 seconds.\n", - "Estimated remaining time: 1.3758 seconds\n", - "=======This is the 81 th iteration=======\n", + "Build time with simultaneous_finite mode [s]: 0.4410738945007324\n", + "Solve time with simultaneous_finite mode [s]: 1.3259389400482178\n", + "FIM: [[ 6.14950553 3.57215823 -11.50401577 -12.92944257]\n", + " [ 3.57215823 8.3108788 -6.68251754 -30.08125916]\n", + " [-11.50401577 -6.68251754 21.52081631 24.1874019 ]\n", + " [-12.92944257 -30.08125916 24.1874019 108.87923816]]\n", + "Trace: 144.86043880001145\n", + "Determinant: 1.1470088080016433e-19\n", + "Condition number: 147491213778546.7\n", + "Minimal eigen value: 8.506849851873313e-13\n", + "Eigen values: [1.25468561e+02 1.93918778e+01 8.50684985e-13 5.55629387e-11]\n", + "Eigen vectors: [[-0.13169743 0.45265633 0.88063857 -0.04731781]\n", + " [-0.25570165 -0.07439481 -0.051656 -0.96250064]\n", + " [ 0.24636935 -0.84679406 0.470748 -0.02529383]\n", + " [ 0.92551315 0.26927214 -0.01427162 -0.2659206 ]]\n", + "Model objective: 0.0\n", + "Solution of CA0 : [5.0]\n", + "Solution of T : [500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0]\n", + "======problem solver output======\n", + "converged\n", + "This is the 8 run out of 9 run.\n", + "The code has run 12.2128 seconds.\n", + "Estimated remaining time: 1.5266 seconds\n", + "=======This is the 9 th iteration=======\n", "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This run takes wall clock time: 1.5832781791687012 s.\n", - "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 3820349877653972.0 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 2.38861504 1.52011273 -3.19173929 -3.93004114]\n", - " [ 1.52011273 1.84022614 -2.03122077 -4.75764959]\n", - " [-3.19173929 -2.03122077 4.26489809 5.25144025]\n", - " [-3.93004114 -4.75764959 5.25144025 12.30024352]]\n", - "Trace: 20.793982781967976\n", - "Determinant: 5.160137969624181e-25\n", - "Condition number: 3307683673504755.5\n", - "Minimal eigen value: 5.551918660251114e-15\n", - "Eigen values: [1.83639907e+01 2.42999207e+00 5.55191866e-15 2.09196812e-12]\n", - "Eigen vectors: [[-0.30847678 0.51365626 0.8004294 0.01824717]\n", - " [-0.30926344 -0.18572861 0.02058024 -0.93242113]\n", - " [ 0.41219601 -0.68636271 0.59902076 0.0136558 ]\n", - " [ 0.79955778 0.48017534 0.00796019 -0.36065412]]\n", - "This is the 81 run out of 81 run.\n", - "The code has run 111.6523 seconds.\n", + "Build time with simultaneous_finite mode [s]: 0.5352678298950195\n", + "Solve time with simultaneous_finite mode [s]: 1.1077849864959717\n", + "FIM: [[ 2.388615 1.5201127 -3.19173924 -3.93004095]\n", + " [ 1.5201127 1.84022611 -2.03122073 -4.75764943]\n", + " [-3.19173924 -2.03122073 4.26489803 5.25144001]\n", + " [-3.93004095 -4.75764943 5.25144001 12.30024292]]\n", + "Trace: 20.793982052867545\n", + "Determinant: -1.337386503483691e-23\n", + "Condition number: -493772228438.5899\n", + "Minimal eigen value: -3.719121670475106e-11\n", + "Eigen values: [ 1.83639900e+01 2.42999210e+00 8.66821281e-15 -3.71912167e-11]\n", + "Eigen vectors: [[-0.30847678 0.51365625 -0.80057845 0.00853767]\n", + " [-0.30926345 -0.1857286 0.00998474 0.93261036]\n", + " [ 0.41219601 -0.68636271 -0.59913231 0.00638929]\n", + " [ 0.79955778 0.48017535 0.00386213 0.36072731]]\n", + "Model objective: 0.0\n", + "Solution of CA0 : [5.0]\n", + "Solution of T : [700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0]\n", + "======problem solver output======\n", + "converged\n", + "This is the 9 run out of 9 run.\n", + "The code has run 13.8587 seconds.\n", "Estimated remaining time: 0.0000 seconds\n", - "The whole run takes 111.65259408950806 s.\n" + "Overall model building time [s]: 3.9229066371917725\n", + "Overall model solve time [s]: 9.908377885818481\n", + "Overall wall clock time [s]: 13.858909845352173\n" ] } ], @@ -3328,7 +735,7 @@ " prior_FIM=prior_pass, discretize_model=disc)\n", "\n", "all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", - " mode='sequential_finite', \n", + " mode='simultaneous_finite', \n", " scale_nominal_param_value=True\n", " )" ] @@ -3343,229 +750,10 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "991969ba", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 700.0)\n", - "[\"'CA0'\"] is/are fixed.\n", - "1D sensitivity curve is plotted with T .\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "test = all_fim.extract_criteria()\n", "\n", @@ -3587,66 +775,10 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "c9fe2868", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2D heatmap is plotted with ['CA0', 'T'] .\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fixed = {}\n", "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" @@ -3846,7 +978,7 @@ "\n", "for i in range(8):\n", " for j in range(18):\n", - " d_result[j,i] = np.log10(data_list[i]['ME'].iloc[j])\n", + " d_result[j,i] = np.log10(data_list[i]['A'].iloc[j])\n", " \n", "print(d_result)" ] @@ -3860,11 +992,12 @@ }, "outputs": [], "source": [ - "x_range1 = [0,0.125,0.25,0.375,0.5,0.625,0.75,0.875]\n", - "x_range1 = [0,0.13, 0.25,0.38,0.5,0.63,0.75,0.88]\n", + "x_range1 = [0.125,0.25,0.375,0.5,0.625,0.75,0.875,1]\n", + "#x_range1 = [0.13, 0.25,0.38,0.5,0.63,0.75,0.88,1]\n", + "#x_range1 = [7.5, 15, 22.5, 30, 37.5, 45, 52.5, 60]\n", "y_range1 = yLabel = [300, 321, 342, 363, 384, 405, 426, 447, 468, 489, 511, 532, 553, 574, 595, 616, 637, 658, 679, 700.0]\n", "\n", - "heatmap(x_range1, y_range1, 'Time [$h$]', 'Temperature [$K$]')" + "heatmap(x_range1, y_range1, 'Time [$min$]', 'Temperature [$K$]')" ] }, { @@ -3914,13 +1047,13 @@ " \n", " ax.set_xticks(range(len(xLabel)))\n", " ax.set_xticklabels(xLabel)\n", - " loc = ticker.MultipleLocator(base=2)\n", + " loc = ticker.MultipleLocator(base=3)\n", " ax.xaxis.set_major_locator(loc)\n", " ax.set_xlabel(xlabel_text)\n", "\n", " im = ax.imshow(d_result, cmap=plt.cm.hot_r)\n", " ba = plt.colorbar(im)\n", - " ba.set_label('$log_{10}$(ME-optimality)',labelpad=-40, y=1.1, rotation=0)\n", + " ba.set_label('$log_{10}$(A-optimality)',labelpad=-40, y=1.1, rotation=0)\n", " plt.show()\n" ] }, diff --git a/pyomo/contrib/doe/reactor_models.py b/pyomo/contrib/doe/reactor_models.py index 1acb18d5d6d..e44f5efd971 100644 --- a/pyomo/contrib/doe/reactor_models.py +++ b/pyomo/contrib/doe/reactor_models.py @@ -7,6 +7,7 @@ def discretizer(m, NFE=32): discretizer = TransformationFactory('dae.collocation') discretizer.apply_to(m, nfe=NFE, ncp=3, wrt=m.t) + #m = discretizer.reduce_collocation_points(m, var=m.T, ncp=1, contset=m.t) return m def create_model_dae(scena, const=False, controls={0: 300, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}, From 0cc407efbde369a5fee09b8c6ac621672560d1ee Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Mon, 6 Sep 2021 19:30:40 -0400 Subject: [PATCH 17/42] update get_dsdp and get_dfds_dcds with those from IDAES repo. Only updating these functions cannot make get_dsdp() work in this repo. --- pyomo/contrib/sensitivity_toolbox/sens.py | 270 ++++++++++++---------- 1 file changed, 147 insertions(+), 123 deletions(-) diff --git a/pyomo/contrib/sensitivity_toolbox/sens.py b/pyomo/contrib/sensitivity_toolbox/sens.py index 3f07744b3d1..a617279980b 100644 --- a/pyomo/contrib/sensitivity_toolbox/sens.py +++ b/pyomo/contrib/sensitivity_toolbox/sens.py @@ -154,6 +154,8 @@ def sensitivity_calculation(method, instance, paramList, perturbList, m.ipopt_zU_in.update(m.ipopt_zU_out) #: important! k_aug.options['dsdp_mode'] = "" #: sensitivity mode! + #if solver_options is not None: + # k_aug.options['linear_solver'] = solver_options k_aug_interface.k_aug(m, tee=tee) sens.perturb_parameters(perturbList) @@ -173,101 +175,118 @@ def sensitivity_calculation(method, instance, paramList, perturbList, return m -def get_dsdp(model, theta_names, theta, tee=False): - """This function calculates gradient vector of the variables - with respect to the parameters (theta_names). - +def get_dsdp(model, theta_names, theta, var_dic={}, + tee=False, solver_options=None): + """This function calculates gradient vector of the (decision variables, + parameters) with respect to the paramerters (theta_names). e.g) min f: p1*x1+ p2*(x2^2) + p1*p2 s.t c1: x1 + x2 = p1 c2: x2 + x3 = p2 0 <= x1, x2, x3 <= 10 p1 = 10 p2 = 5 - the function retuns dx/dp and dp/dp, and column orders. - + the function retuns dx/dp and dp/dp, and colum orders. + The following terms are used to define the output dimensions: Ncon = number of constraints Nvar = number of variables (Nx + Ntheta) - Nx = number of decision (primal) variables + Nx = the numer of decision (primal) variables Ntheta = number of uncertain parameters. - Parameters ---------- model: Pyomo ConcreteModel - model should include an objective function + model should includes an objective function theta_names: list of strings List of Var names theta: dict Estimated parameters e.g) from parmest tee: bool, optional Indicates that ef solver output should be teed - + solver_options: dict, optional + Provides options to the solver (also the name of an attribute) + var_dic: dictionary + If any original variable contains "'", need an auxiliary dictionary + with keys theta_names without "'", values with "'". + e.g) var_dic= + {'fs.properties.tau[benzene,toluene]': + "fs.properties.tau['benzene','toluene']", + 'fs.properties.tau[toluene,benzene]': + "fs.properties.tau['toluene','benzene']"} Returns ------- dsdp: scipy.sparse.csr.csr_matrix - Ntheta by Nvar size sparse matrix. A Jacobian matrix of the - (decision variables, parameters) with respect to parameters - (theta_names). number of rows = len(theta_name), number of - columns = len(col) + Ntheta by Nvar size sparse matrix. A Jacobian matrix of the + (decision variables, parameters) with respect to paramerters + (=theta_name). number of rows = len(theta_name), + number of columns= len(col) col: list List of variable names """ - # Get parameters from names. In SensitivityInterface, we expect - # these to be parameters on the original model. - param_list = [] - for name in theta_names: - comp = model.find_component(name) - if comp is None: - raise RuntimeError("Cannot find component %s on model" % name) - if comp.ctype is Var: - # If theta_names correspond to Vars in the model, these vars - # need to be fixed. - comp.fix() - param_list.append(comp) - - sens = SensitivityInterface(model, clone_model=True) - m = sens.model_instance - - # Setup model and calculate sensitivity matrix with k_aug - sens.setup_sensitivity(param_list) - k_aug = K_augInterface() - k_aug.k_aug(m, tee=tee) - - # Write row and col files in a temp dir, then immediately - # read into a Python data structure. - nl_data = {} - with InTempDir(): - base_fname = "col_row" - nl_file = ".".join((base_fname, "nl")) - row_file = ".".join((base_fname, "row")) - col_file = ".".join((base_fname, "col")) - m.write(nl_file, io_options={"symbolic_solver_labels": True}) - for fname in [nl_file, row_file, col_file]: - with open(fname, "r") as fp: - nl_data[fname] = fp.read() - - # Create more useful data structures from strings - dsdp = np.fromstring(k_aug.data["dsdp_in_.in"], sep="\n\t") - col = nl_data[col_file].strip("\n").split("\n") - row = nl_data[row_file].strip("\n").split("\n") - + m = model.clone() + original_Param = [] + perturbed_Param = [] + m.extra = ConstraintList() + kk = 0 + if var_dic == {}: + for i in theta_names: + var_dic[i] = i + ''' + for v in theta_names: + v_tmp = str(kk) + original_param_object = Param(initialize=theta[v], mutable=True) + perturbed_param_object = Param(initialize=theta[v]) + m.add_component("original_"+v_tmp, original_param_object) + m.add_component("perturbed_"+v_tmp, perturbed_param_object) + m.extra.add(eval('m.'+var_dic[v]) - eval('m.original_'+v_tmp) == 0 ) + original_Param.append(original_param_object) + perturbed_Param.append(perturbed_param_object) + kk = kk + 1 + m_kaug_dsdp = sensitivity_calculation('kaug',m,original_Param, + perturbed_Param, tee) + ''' + for i, name in enumerate(theta_names): + orig_param = Param(initialize=theta[name], mutable=True) + ptb_param = Param(initialize=theta[name]) + m.add_component("original_%s" % i, orig_param) + m.add_component("perturbed_%s" % i,ptb_param) + cuid = ComponentUID(name) + var = cuid.find_component_on(m) + m.extra.add(var - orig_param == 0) + original_Param.append(orig_param) + perturbed_Param.append(ptb_param) + + m_kaug_dsdp = sensitivity_calculation('kaug',m,original_Param, + perturbed_Param, tee) + try: + with open ("./dsdp/col_row.col", "r") as myfile: + col = myfile.read().splitlines() + with open ("./dsdp/col_row.row", "r") as myfile: + row = myfile.read().splitlines() + dsdp = np.loadtxt("./dsdp/dsdp_in_.in") + except Exception as e: + print('File not found.') dsdp = dsdp.reshape((len(theta_names), int(len(dsdp)/len(theta_names)))) dsdp = dsdp[:len(theta_names), :len(col)] - - col = [i for i in col if sens.get_default_block_name() not in i] + try: + shutil.rmtree('dsdp', ignore_errors=True) + except OSError: + pass + col = [i for i in col + if SensitivityInterface.get_default_block_name() not in i] dsdp_out = np.zeros((len(theta_names),len(col))) + # e.g) k_aug dsdp returns -dx1/dx1 = -1.0 for i in range(len(theta_names)): for j in range(len(col)): - if sens.get_default_block_name() not in col[j]: - dsdp_out[i,j] = -dsdp[i, j] # e.g) k_aug dsdp returns -dx1/dx1 = -1.0 + if SensitivityInterface.get_default_block_name() not in col[j]: + dsdp_out[i,j] = -dsdp[i, j] + + return sparse.csr_matrix(dsdp_out), col - return scipy.sparse.csr_matrix(dsdp_out), col def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): """This function calculates gradient vector of the objective function - and constraints with respect to the variables and parameters. - + and constraints with respect to the variables in theta_names. e.g) min f: p1*x1+ p2*(x2^2) + p1*p2 s.t c1: x1 + x2 = p1 c2: x2 + x3 = p2 @@ -276,61 +295,60 @@ def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): p2 = 5 - Variables = (x1, x2, x3, p1, p2) - Fix p1 and p2 with estimated values - The following terms are used to define the output dimensions: Ncon = number of constraints Nvar = number of variables (Nx + Ntheta) - Nx = number of decision (primal) variables + Nx = the numer of decision (primal) variables Ntheta = number of uncertain parameters. - Parameters ---------- model: Pyomo ConcreteModel - model should include an objective function + model should includes an objective function theta_names: list of strings List of Var names tee: bool, optional Indicates that ef solver output should be teed solver_options: dict, optional Provides options to the solver (also the name of an attribute) - + Returns ------- gradient_f: numpy.ndarray - Length Nvar array. A gradient vector of the objective function - with respect to the (decision variables, parameters) at the optimal - solution + Length Nvar array. A gradient vector of the objective function + with respect to the (decision variables, parameters) + at the optimal solution gradient_c: scipy.sparse.csr.csr_matrix - Ncon by Nvar size sparse matrix. A Jacobian matrix of the - constraints with respect to the (decision variables, parameters) - at the optimal solution. Each row contains [row number, - column number, and value], column order follows variable order in col - and index starts from 0. Note that it follows k_aug. - If no constraint exists, return [] + Ncon by Nvar size sparse matrix. A Jacobian matrix of the constraints + with respect to the (decision variables, parameters) at the optimal + solution. Each row contains [column number, row number, and value], + colum order follows variable order in col and index starts from 1. + Note that it follows k_aug. If no constraint exists, return [] col: list - Size Nvar list of variable names + Size Nvar. list of variable names row: list - Size Ncon+1 list of constraints and objective function names. + Size Ncon+1. List of constraints and objective function names The final element is the objective function name. line_dic: dict column numbers of the theta_names in the model. Index starts from 1 - Raises ------ RuntimeError - When ipopt or k_aug or dotsens is not available + When ipopt or kaug or dotsens is not available Exception When ipopt fails """ - # Create the solver plugin using the ASL interface + #Create the solver plugin using the ASL interface ipopt = SolverFactory('ipopt',solver_io='nl') if solver_options is not None: ipopt.options = solver_options - k_aug = SolverFactory('k_aug',solver_io='nl') + kaug = SolverFactory('k_aug',solver_io='nl') + dotsens = SolverFactory('dot_sens',solver_io='nl') if not ipopt.available(False): raise RuntimeError('ipopt is not available') - if not k_aug.available(False): + if not kaug.available(False): raise RuntimeError('k_aug is not available') + if not dotsens.available(False): + raise RuntimeError('dotsens is not available') # Declare Suffixes _add_sensitivity_suffixes(model) @@ -338,11 +356,10 @@ def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): # K_AUG SUFFIXES model.dof_v = Suffix(direction=Suffix.EXPORT) #: SUFFIX FOR K_AUG model.rh_name = Suffix(direction=Suffix.IMPORT) #: SUFFIX FOR K_AUG AS WELL - k_aug.options["print_kkt"] = "" - + kaug.options["print_kkt"] = "" results = ipopt.solve(model,tee=tee) - # Raise exception if ipopt fails + # Rasie Exception if ipopt fails if (results.solver.status == SolverStatus.warning): raise Exception(results.solver.Message) @@ -350,51 +367,58 @@ def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): f_mean = value(o) model.ipopt_zL_in.update(model.ipopt_zL_out) model.ipopt_zU_in.update(model.ipopt_zU_out) - - # run k_aug - k_aug_interface = K_augInterface(k_aug=k_aug) - k_aug_interface.k_aug(model, tee=tee) #: always call k_aug AFTER ipopt. - - nl_data = {} - with InTempDir(): - base_fname = "col_row" - nl_file = ".".join((base_fname, "nl")) - row_file = ".".join((base_fname, "row")) - col_file = ".".join((base_fname, "col")) - model.write(nl_file, io_options={"symbolic_solver_labels": True}) - for fname in [nl_file, row_file, col_file]: - with open(fname, "r") as fp: - nl_data[fname] = fp.read() - - col = nl_data[col_file].strip("\n").split("\n") - row = nl_data[row_file].strip("\n").split("\n") - - # get the column numbers of "parameters" - line_dic = {name: col.index(name) for name in theta_names} - - grad_f_file = os.path.join("GJH", "gradient_f_print.txt") - grad_f_string = k_aug_interface.data[grad_f_file] - gradient_f = np.fromstring(grad_f_string, sep="\n\t") - col = [i for i in col if SensitivityInterface.get_default_block_name() not in i] - - grad_c_file = os.path.join("GJH", "A_print.txt") - grad_c_string = k_aug_interface.data[grad_c_file] - gradient_c = np.fromstring(grad_c_string, sep="\n\t") - - # Jacobian file is in "COO format," i.e. an nnz-by-3 array. - # Reshape to a numpy array that matches this format. - gradient_c = gradient_c.reshape((-1, 3)) - - num_constraints = len(row)-1 # Objective is included as a row + #: run k_aug + kaug.solve(model, tee=tee) #: always call k_aug AFTER ipopt. + model.write('col_row.nl', format='nl', + io_options={'symbolic_solver_labels':True}) + # get the column numbers of theta + line_dic = {} + try: + for v in theta_names: + line_dic[v] = line_num('col_row.col', v) + # load gradient of the objective function + gradient_f = np.loadtxt("./GJH/gradient_f_print.txt") + with open ("col_row.col", "r") as myfile: + col = myfile.read().splitlines() + col = [i for i in col + if SensitivityInterface.get_default_block_name() not in i] + with open ("col_row.row", "r") as myfile: + row = myfile.read().splitlines() + except Exception as e: + print('File not found.') + raise e + # load gradient of all constraints (sparse) + # If no constraint exists, return [] + num_constraints = len(list(model.component_data_objects(Constraint, + active=True, + descend_into=True))) if num_constraints > 0 : + try: + # load text file from kaug + gradient_c = np.loadtxt("./GJH/A_print.txt") + # This is a sparse matrix + # gradient_c[:,0] are column index + # gradient_c[:,1] are data index + # gradient_c[:,1] are the matrix values + except Exception as e: + print('kaug file ./GJH/A_print.txt not found.') + + # Subtract 1 from row and column indices to convert from + # start at 1 (kaug) to start at 0 (numpy) row_idx = gradient_c[:,1]-1 col_idx = gradient_c[:,0]-1 data = gradient_c[:,2] - gradient_c = scipy.sparse.csr_matrix((data, (row_idx, col_idx)), - shape=(num_constraints, len(col))) + gradient_c = sparse.csr_matrix((data, (row_idx, col_idx)), + shape=(len(row)-1, len(col))) else: gradient_c = np.array([]) - + # remove all generated files + + shutil.move("col_row.nl", "./GJH/") + shutil.move("col_row.col", "./GJH/") + shutil.move("col_row.row", "./GJH/") + shutil.rmtree('GJH', ignore_errors=True) + return gradient_f, gradient_c, col,row, line_dic From ce6295ab52edfa3e130f048bf361513e48621737 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Mon, 6 Sep 2021 20:12:07 -0400 Subject: [PATCH 18/42] Update all functions in this file with sens.py from IDAES repo. As long as it is in sensitivity toolbox repo, it cannot work for Pyomo.DAE model, but can work with analytical models. --- pyomo/contrib/sensitivity_toolbox/sens.py | 143 ++++++++++++---------- 1 file changed, 81 insertions(+), 62 deletions(-) diff --git a/pyomo/contrib/sensitivity_toolbox/sens.py b/pyomo/contrib/sensitivity_toolbox/sens.py index a617279980b..1f0f98e128c 100644 --- a/pyomo/contrib/sensitivity_toolbox/sens.py +++ b/pyomo/contrib/sensitivity_toolbox/sens.py @@ -8,33 +8,39 @@ # This software is distributed under the 3-clause BSD License # ______________________________________________________________________________ from pyomo.environ import ( - Param, Var, Block, ComponentMap, Objective, Constraint, - ConstraintList, Suffix, value, ComponentUID, -) - -from pyomo.common.sorting import sorted_robust + Param, + Var, + Block, + ComponentMap, + Objective, + Constraint, + ConstraintList, + Suffix, + value, + ComponentUID, + ) + +from pyomo.core.base.misc import sorted_robust from pyomo.core.expr.current import ExpressionReplacementVisitor from pyomo.common.modeling import unique_component_name from pyomo.common.deprecation import deprecated -from pyomo.common.tempfiles import TempfileManager from pyomo.opt import SolverFactory, SolverStatus -from pyomo.contrib.sensitivity_toolbox.k_aug import K_augInterface, InTempDir import logging import os -import io import shutil from pyomo.common.dependencies import ( numpy as np, numpy_available ) -from pyomo.common.dependencies import scipy, scipy_available +from scipy import sparse logger = logging.getLogger('pyomo.contrib.sensitivity_toolbox') -@deprecated("The sipopt function has been deprecated. Use the sensitivity_calculation() " - "function with method='sipopt' to access this functionality.", +@deprecated("""The sipopt function has been deprecated. Use the + sensitivity_calculation() function with method='sipopt' + to access this functionality.""", logger='pyomo.contrib.sensitivity_toolbox', - version='6.1') + version='TBD') def sipopt(instance, paramSubList, perturbList, cloneModel=True, tee=False, keepfiles=False, streamSoln=False): @@ -43,14 +49,15 @@ def sipopt(instance, paramSubList, perturbList, return m -@deprecated("The kaug function has been deprecated. Use the sensitivity_calculation() " - "function with method='k_aug' to access this functionality.", +@deprecated("""The kaug function has been deprecated. + Use the sensitivity_calculation() function + with method='kaug' to access this functionality.""", logger='pyomo.contrib.sensitivity_toolbox', - version='6.1') + version='TBD') def kaug(instance, paramSubList, perturbList, cloneModel=True, tee=False, keepfiles=False, solver_options=None, streamSoln=False): - m = sensitivity_calculation('k_aug', instance, paramSubList, perturbList, + m = sensitivity_calculation('kaug', instance, paramSubList, perturbList, cloneModel, tee, keepfiles, solver_options) return m @@ -103,26 +110,27 @@ def _generate_component_items(components): def sensitivity_calculation(method, instance, paramList, perturbList, cloneModel=True, tee=False, keepfiles=False, solver_options=None): - """This function accepts a Pyomo ConcreteModel, a list of parameters, and - their corresponding perturbation list. The model is then augmented with - dummy constraints required to call sipopt or k_aug to get an approximation - of the perturbed solution. + """This function accepts a Pyomo ConcreteModel, a list of parameters, along + with their corresponding perterbation list. The model is then converted + into the design structure required to call sipopt or k_aug to get an + approximation perturbed solution with updated bounds on the decision + variable. Parameters ---------- method: string 'sipopt' or 'k_aug' - instance: Block - pyomo block or model object + instance: ConcreteModel + pyomo model object paramSubList: list - list of mutable parameters or fixed variables + list of mutable parameters perturbList: list list of perturbed parameter values cloneModel: bool, optional indicator to clone the model. If set to False, the original model will be altered tee: bool, optional - indicator to stream solver log + indicator to stream IPOPT solution keepfiles: bool, optional preserve solver interface files solver_options: dict, optional @@ -130,48 +138,68 @@ def sensitivity_calculation(method, instance, paramList, perturbList, Returns ------- - The model that was manipulated by the sensitivity interface - + model: ConcreteModel + if method == 'sipopt', + the model modified for use with sipopt. The returned model has + three :class:`Suffix` members defined: + - ``model.sol_state_1``: the approximated results at the + perturbation point + - ``model.sol_state_1_z_L``: the updated lower bound + - ``model.sol_state_1_z_U``: the updated upper bound + + if method == 'k_sug', + the model modified for use with k_aug. The model includes + approximate solution with the new parameter values. """ sens = SensitivityInterface(instance, clone_model=cloneModel) sens.setup_sensitivity(paramList) m = sens.model_instance - - if method not in {"k_aug", "sipopt"}: - raise ValueError("Only methods 'k_aug' and 'sipopt' are supported'") - - if method == 'k_aug': - k_aug = SolverFactory('k_aug', solver_io='nl') - dot_sens = SolverFactory('dot_sens', solver_io='nl') - ipopt = SolverFactory('ipopt', solver_io='nl') - k_aug_interface = K_augInterface(k_aug=k_aug, dot_sens=dot_sens) + if method == 'kaug': + kaug = SolverFactory('k_aug', solver_io='nl') + dotsens = SolverFactory('dot_sens', solver_io='nl') + ipopt = SolverFactory('ipopt', solver_io='nl') ipopt.solve(m, tee=tee) m.ipopt_zL_in.update(m.ipopt_zL_out) #: important! m.ipopt_zU_in.update(m.ipopt_zU_out) #: important! - k_aug.options['dsdp_mode'] = "" #: sensitivity mode! - #if solver_options is not None: - # k_aug.options['linear_solver'] = solver_options - k_aug_interface.k_aug(m, tee=tee) + kaug.options['dsdp_mode'] = "" #: sensitivity mode! + kaug.solve(m, tee=tee) + m.write('col_row.nl', format='nl', + io_options={'symbolic_solver_labels':True}) sens.perturb_parameters(perturbList) if method == 'sipopt': ipopt_sens = SolverFactory('ipopt_sens', solver_io='nl') ipopt_sens.options['run_sens'] = 'yes' - if solver_options is not None: - ipopt_sens.options['linear_solver'] = solver_options - # Send the model to ipopt_sens and collect the solution + # Send the model to the ipopt_sens and collect the solution results = ipopt_sens.solve(m, keepfiles=keepfiles, tee=tee) - elif method == 'k_aug': - dot_sens.options["dsdp_mode"] = "" - k_aug_interface.dot_sens(m, tee=tee) + elif method == 'kaug': + dotsens.options["dsdp_mode"] = "" + dotsens.solve(m, tee=tee) + try: + os.makedirs("dsdp") + except FileExistsError: + # directory already exists + pass + try: + shutil.move("dsdp_in_.in","./dsdp/") + shutil.move("col_row.nl","./dsdp/") + shutil.move("col_row.col","./dsdp/") + shutil.move("col_row.row","./dsdp/") + shutil.move("conorder.txt","./dsdp/") + shutil.move("delta_p.out","./dsdp/") + shutil.move("dot_out.out","./dsdp/") + shutil.move("timings_dot_driver_dsdp.txt", "./dsdp/") + shutil.move("timings_k_aug_dsdp.txt", "./dsdp/") + except OSError: + pass return m @@ -282,8 +310,6 @@ def get_dsdp(model, theta_names, theta, var_dic={}, return sparse.csr_matrix(dsdp_out), col - - def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): """This function calculates gradient vector of the objective function and constraints with respect to the variables in theta_names. @@ -421,28 +447,23 @@ def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): return gradient_f, gradient_c, col,row, line_dic - def line_num(file_name, target): - """This function returns the line number that contains 'target' in the - file_name. This function identifies constraints that have variables - in theta_names. - + """This function returns the line inumber contain 'target' in the file_name. + This function identities constraints that have variables in theta_names. Parameters ---------- file_name: string - file includes the variable order (i.e. col file) + file name includes information of variabe order (col_row.col) target: string variable name to check - Returns ------- count: int - line number of target in the file - + line number of target in the file_name Raises ------ Exception - When file does not include target + When col_row.col does not include target """ with open(file_name) as f: count = int(1) @@ -452,7 +473,6 @@ def line_num(file_name, target): count += 1 raise Exception(file_name + " does not include "+target) - class SensitivityInterface(object): def __init__(self, instance, clone_model=True): @@ -543,7 +563,7 @@ def _add_data_block(self, existing_block=None): block._paramList = None # This will hold any constraints where we have replaced - # parameters with variables. + # parameters with vairables. block.constList = ConstraintList() return block @@ -692,8 +712,7 @@ def setup_sensitivity(self, paramList): # We now replace the provided parameters in the user's # expressions. Only do this if we have to, i.e. the # user provided some parameters rather than all vars. - block._replaced_map = \ - self._replace_parameters_in_constraints(variableSubMap) + self._replace_parameters_in_constraints(variableSubMap) # Assume that we just replaced some params block._has_replaced_expressions = True @@ -752,4 +771,4 @@ def perturb_parameters(self, perturbList): #instance.DeltaP[con] = value(ptb - var) instance.DeltaP[con] = value(var - ptb) # FIXME: ^ This is incorrect. DeltaP should be (ptb - current). - # But at least one test doesn't pass unless I use (current - ptb). + # But at least one test doesn't pass unless I use (current - ptb). \ No newline at end of file From e16ac154c9b1a5bf8f36fbbb15364b86f3187017 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Tue, 7 Sep 2021 10:34:38 -0400 Subject: [PATCH 19/42] Revert "Update all functions in this file with sens.py from IDAES repo. As long as it is in sensitivity toolbox repo, it cannot work for Pyomo.DAE model, but can work with analytical models." This reverts commit ce6295ab52edfa3e130f048bf361513e48621737. --- pyomo/contrib/sensitivity_toolbox/sens.py | 143 ++++++++++------------ 1 file changed, 62 insertions(+), 81 deletions(-) diff --git a/pyomo/contrib/sensitivity_toolbox/sens.py b/pyomo/contrib/sensitivity_toolbox/sens.py index 1f0f98e128c..a617279980b 100644 --- a/pyomo/contrib/sensitivity_toolbox/sens.py +++ b/pyomo/contrib/sensitivity_toolbox/sens.py @@ -8,39 +8,33 @@ # This software is distributed under the 3-clause BSD License # ______________________________________________________________________________ from pyomo.environ import ( - Param, - Var, - Block, - ComponentMap, - Objective, - Constraint, - ConstraintList, - Suffix, - value, - ComponentUID, - ) - -from pyomo.core.base.misc import sorted_robust + Param, Var, Block, ComponentMap, Objective, Constraint, + ConstraintList, Suffix, value, ComponentUID, +) + +from pyomo.common.sorting import sorted_robust from pyomo.core.expr.current import ExpressionReplacementVisitor from pyomo.common.modeling import unique_component_name from pyomo.common.deprecation import deprecated +from pyomo.common.tempfiles import TempfileManager from pyomo.opt import SolverFactory, SolverStatus +from pyomo.contrib.sensitivity_toolbox.k_aug import K_augInterface, InTempDir import logging import os +import io import shutil from pyomo.common.dependencies import ( numpy as np, numpy_available ) -from scipy import sparse +from pyomo.common.dependencies import scipy, scipy_available logger = logging.getLogger('pyomo.contrib.sensitivity_toolbox') -@deprecated("""The sipopt function has been deprecated. Use the - sensitivity_calculation() function with method='sipopt' - to access this functionality.""", +@deprecated("The sipopt function has been deprecated. Use the sensitivity_calculation() " + "function with method='sipopt' to access this functionality.", logger='pyomo.contrib.sensitivity_toolbox', - version='TBD') + version='6.1') def sipopt(instance, paramSubList, perturbList, cloneModel=True, tee=False, keepfiles=False, streamSoln=False): @@ -49,15 +43,14 @@ def sipopt(instance, paramSubList, perturbList, return m -@deprecated("""The kaug function has been deprecated. - Use the sensitivity_calculation() function - with method='kaug' to access this functionality.""", +@deprecated("The kaug function has been deprecated. Use the sensitivity_calculation() " + "function with method='k_aug' to access this functionality.", logger='pyomo.contrib.sensitivity_toolbox', - version='TBD') + version='6.1') def kaug(instance, paramSubList, perturbList, cloneModel=True, tee=False, keepfiles=False, solver_options=None, streamSoln=False): - m = sensitivity_calculation('kaug', instance, paramSubList, perturbList, + m = sensitivity_calculation('k_aug', instance, paramSubList, perturbList, cloneModel, tee, keepfiles, solver_options) return m @@ -110,27 +103,26 @@ def _generate_component_items(components): def sensitivity_calculation(method, instance, paramList, perturbList, cloneModel=True, tee=False, keepfiles=False, solver_options=None): - """This function accepts a Pyomo ConcreteModel, a list of parameters, along - with their corresponding perterbation list. The model is then converted - into the design structure required to call sipopt or k_aug to get an - approximation perturbed solution with updated bounds on the decision - variable. + """This function accepts a Pyomo ConcreteModel, a list of parameters, and + their corresponding perturbation list. The model is then augmented with + dummy constraints required to call sipopt or k_aug to get an approximation + of the perturbed solution. Parameters ---------- method: string 'sipopt' or 'k_aug' - instance: ConcreteModel - pyomo model object + instance: Block + pyomo block or model object paramSubList: list - list of mutable parameters + list of mutable parameters or fixed variables perturbList: list list of perturbed parameter values cloneModel: bool, optional indicator to clone the model. If set to False, the original model will be altered tee: bool, optional - indicator to stream IPOPT solution + indicator to stream solver log keepfiles: bool, optional preserve solver interface files solver_options: dict, optional @@ -138,68 +130,48 @@ def sensitivity_calculation(method, instance, paramList, perturbList, Returns ------- - model: ConcreteModel - if method == 'sipopt', - the model modified for use with sipopt. The returned model has - three :class:`Suffix` members defined: - - ``model.sol_state_1``: the approximated results at the - perturbation point - - ``model.sol_state_1_z_L``: the updated lower bound - - ``model.sol_state_1_z_U``: the updated upper bound - - if method == 'k_sug', - the model modified for use with k_aug. The model includes - approximate solution with the new parameter values. + The model that was manipulated by the sensitivity interface + """ sens = SensitivityInterface(instance, clone_model=cloneModel) sens.setup_sensitivity(paramList) m = sens.model_instance - - if method == 'kaug': - kaug = SolverFactory('k_aug', solver_io='nl') - dotsens = SolverFactory('dot_sens', solver_io='nl') + + if method not in {"k_aug", "sipopt"}: + raise ValueError("Only methods 'k_aug' and 'sipopt' are supported'") + + if method == 'k_aug': + k_aug = SolverFactory('k_aug', solver_io='nl') + dot_sens = SolverFactory('dot_sens', solver_io='nl') ipopt = SolverFactory('ipopt', solver_io='nl') + k_aug_interface = K_augInterface(k_aug=k_aug, dot_sens=dot_sens) + ipopt.solve(m, tee=tee) m.ipopt_zL_in.update(m.ipopt_zL_out) #: important! m.ipopt_zU_in.update(m.ipopt_zU_out) #: important! - kaug.options['dsdp_mode'] = "" #: sensitivity mode! - kaug.solve(m, tee=tee) - m.write('col_row.nl', format='nl', - io_options={'symbolic_solver_labels':True}) + k_aug.options['dsdp_mode'] = "" #: sensitivity mode! + #if solver_options is not None: + # k_aug.options['linear_solver'] = solver_options + k_aug_interface.k_aug(m, tee=tee) sens.perturb_parameters(perturbList) if method == 'sipopt': ipopt_sens = SolverFactory('ipopt_sens', solver_io='nl') ipopt_sens.options['run_sens'] = 'yes' + if solver_options is not None: + ipopt_sens.options['linear_solver'] = solver_options - # Send the model to the ipopt_sens and collect the solution + # Send the model to ipopt_sens and collect the solution results = ipopt_sens.solve(m, keepfiles=keepfiles, tee=tee) - elif method == 'kaug': - dotsens.options["dsdp_mode"] = "" - dotsens.solve(m, tee=tee) - try: - os.makedirs("dsdp") - except FileExistsError: - # directory already exists - pass - try: - shutil.move("dsdp_in_.in","./dsdp/") - shutil.move("col_row.nl","./dsdp/") - shutil.move("col_row.col","./dsdp/") - shutil.move("col_row.row","./dsdp/") - shutil.move("conorder.txt","./dsdp/") - shutil.move("delta_p.out","./dsdp/") - shutil.move("dot_out.out","./dsdp/") - shutil.move("timings_dot_driver_dsdp.txt", "./dsdp/") - shutil.move("timings_k_aug_dsdp.txt", "./dsdp/") - except OSError: - pass + elif method == 'k_aug': + dot_sens.options["dsdp_mode"] = "" + k_aug_interface.dot_sens(m, tee=tee) return m @@ -310,6 +282,8 @@ def get_dsdp(model, theta_names, theta, var_dic={}, return sparse.csr_matrix(dsdp_out), col + + def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): """This function calculates gradient vector of the objective function and constraints with respect to the variables in theta_names. @@ -447,23 +421,28 @@ def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): return gradient_f, gradient_c, col,row, line_dic + def line_num(file_name, target): - """This function returns the line inumber contain 'target' in the file_name. - This function identities constraints that have variables in theta_names. + """This function returns the line number that contains 'target' in the + file_name. This function identifies constraints that have variables + in theta_names. + Parameters ---------- file_name: string - file name includes information of variabe order (col_row.col) + file includes the variable order (i.e. col file) target: string variable name to check + Returns ------- count: int - line number of target in the file_name + line number of target in the file + Raises ------ Exception - When col_row.col does not include target + When file does not include target """ with open(file_name) as f: count = int(1) @@ -473,6 +452,7 @@ def line_num(file_name, target): count += 1 raise Exception(file_name + " does not include "+target) + class SensitivityInterface(object): def __init__(self, instance, clone_model=True): @@ -563,7 +543,7 @@ def _add_data_block(self, existing_block=None): block._paramList = None # This will hold any constraints where we have replaced - # parameters with vairables. + # parameters with variables. block.constList = ConstraintList() return block @@ -712,7 +692,8 @@ def setup_sensitivity(self, paramList): # We now replace the provided parameters in the user's # expressions. Only do this if we have to, i.e. the # user provided some parameters rather than all vars. - self._replace_parameters_in_constraints(variableSubMap) + block._replaced_map = \ + self._replace_parameters_in_constraints(variableSubMap) # Assume that we just replaced some params block._has_replaced_expressions = True @@ -771,4 +752,4 @@ def perturb_parameters(self, perturbList): #instance.DeltaP[con] = value(ptb - var) instance.DeltaP[con] = value(var - ptb) # FIXME: ^ This is incorrect. DeltaP should be (ptb - current). - # But at least one test doesn't pass unless I use (current - ptb). \ No newline at end of file + # But at least one test doesn't pass unless I use (current - ptb). From d1711da405b4bf2aa42be7de9b8ed152c2ef57ad Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Tue, 7 Sep 2021 10:34:46 -0400 Subject: [PATCH 20/42] Revert "update get_dsdp and get_dfds_dcds with those from IDAES repo. Only updating these functions cannot make get_dsdp() work in this repo." This reverts commit 0cc407efbde369a5fee09b8c6ac621672560d1ee. --- pyomo/contrib/sensitivity_toolbox/sens.py | 270 ++++++++++------------ 1 file changed, 123 insertions(+), 147 deletions(-) diff --git a/pyomo/contrib/sensitivity_toolbox/sens.py b/pyomo/contrib/sensitivity_toolbox/sens.py index a617279980b..3f07744b3d1 100644 --- a/pyomo/contrib/sensitivity_toolbox/sens.py +++ b/pyomo/contrib/sensitivity_toolbox/sens.py @@ -154,8 +154,6 @@ def sensitivity_calculation(method, instance, paramList, perturbList, m.ipopt_zU_in.update(m.ipopt_zU_out) #: important! k_aug.options['dsdp_mode'] = "" #: sensitivity mode! - #if solver_options is not None: - # k_aug.options['linear_solver'] = solver_options k_aug_interface.k_aug(m, tee=tee) sens.perturb_parameters(perturbList) @@ -175,118 +173,101 @@ def sensitivity_calculation(method, instance, paramList, perturbList, return m -def get_dsdp(model, theta_names, theta, var_dic={}, - tee=False, solver_options=None): - """This function calculates gradient vector of the (decision variables, - parameters) with respect to the paramerters (theta_names). +def get_dsdp(model, theta_names, theta, tee=False): + """This function calculates gradient vector of the variables + with respect to the parameters (theta_names). + e.g) min f: p1*x1+ p2*(x2^2) + p1*p2 s.t c1: x1 + x2 = p1 c2: x2 + x3 = p2 0 <= x1, x2, x3 <= 10 p1 = 10 p2 = 5 - the function retuns dx/dp and dp/dp, and colum orders. - + the function retuns dx/dp and dp/dp, and column orders. + The following terms are used to define the output dimensions: Ncon = number of constraints Nvar = number of variables (Nx + Ntheta) - Nx = the numer of decision (primal) variables + Nx = number of decision (primal) variables Ntheta = number of uncertain parameters. + Parameters ---------- model: Pyomo ConcreteModel - model should includes an objective function + model should include an objective function theta_names: list of strings List of Var names theta: dict Estimated parameters e.g) from parmest tee: bool, optional Indicates that ef solver output should be teed - solver_options: dict, optional - Provides options to the solver (also the name of an attribute) - var_dic: dictionary - If any original variable contains "'", need an auxiliary dictionary - with keys theta_names without "'", values with "'". - e.g) var_dic= - {'fs.properties.tau[benzene,toluene]': - "fs.properties.tau['benzene','toluene']", - 'fs.properties.tau[toluene,benzene]': - "fs.properties.tau['toluene','benzene']"} + Returns ------- dsdp: scipy.sparse.csr.csr_matrix - Ntheta by Nvar size sparse matrix. A Jacobian matrix of the - (decision variables, parameters) with respect to paramerters - (=theta_name). number of rows = len(theta_name), - number of columns= len(col) + Ntheta by Nvar size sparse matrix. A Jacobian matrix of the + (decision variables, parameters) with respect to parameters + (theta_names). number of rows = len(theta_name), number of + columns = len(col) col: list List of variable names """ - m = model.clone() - original_Param = [] - perturbed_Param = [] - m.extra = ConstraintList() - kk = 0 - if var_dic == {}: - for i in theta_names: - var_dic[i] = i - ''' - for v in theta_names: - v_tmp = str(kk) - original_param_object = Param(initialize=theta[v], mutable=True) - perturbed_param_object = Param(initialize=theta[v]) - m.add_component("original_"+v_tmp, original_param_object) - m.add_component("perturbed_"+v_tmp, perturbed_param_object) - m.extra.add(eval('m.'+var_dic[v]) - eval('m.original_'+v_tmp) == 0 ) - original_Param.append(original_param_object) - perturbed_Param.append(perturbed_param_object) - kk = kk + 1 - m_kaug_dsdp = sensitivity_calculation('kaug',m,original_Param, - perturbed_Param, tee) - ''' - for i, name in enumerate(theta_names): - orig_param = Param(initialize=theta[name], mutable=True) - ptb_param = Param(initialize=theta[name]) - m.add_component("original_%s" % i, orig_param) - m.add_component("perturbed_%s" % i,ptb_param) - cuid = ComponentUID(name) - var = cuid.find_component_on(m) - m.extra.add(var - orig_param == 0) - original_Param.append(orig_param) - perturbed_Param.append(ptb_param) - - m_kaug_dsdp = sensitivity_calculation('kaug',m,original_Param, - perturbed_Param, tee) - try: - with open ("./dsdp/col_row.col", "r") as myfile: - col = myfile.read().splitlines() - with open ("./dsdp/col_row.row", "r") as myfile: - row = myfile.read().splitlines() - dsdp = np.loadtxt("./dsdp/dsdp_in_.in") - except Exception as e: - print('File not found.') + # Get parameters from names. In SensitivityInterface, we expect + # these to be parameters on the original model. + param_list = [] + for name in theta_names: + comp = model.find_component(name) + if comp is None: + raise RuntimeError("Cannot find component %s on model" % name) + if comp.ctype is Var: + # If theta_names correspond to Vars in the model, these vars + # need to be fixed. + comp.fix() + param_list.append(comp) + + sens = SensitivityInterface(model, clone_model=True) + m = sens.model_instance + + # Setup model and calculate sensitivity matrix with k_aug + sens.setup_sensitivity(param_list) + k_aug = K_augInterface() + k_aug.k_aug(m, tee=tee) + + # Write row and col files in a temp dir, then immediately + # read into a Python data structure. + nl_data = {} + with InTempDir(): + base_fname = "col_row" + nl_file = ".".join((base_fname, "nl")) + row_file = ".".join((base_fname, "row")) + col_file = ".".join((base_fname, "col")) + m.write(nl_file, io_options={"symbolic_solver_labels": True}) + for fname in [nl_file, row_file, col_file]: + with open(fname, "r") as fp: + nl_data[fname] = fp.read() + + # Create more useful data structures from strings + dsdp = np.fromstring(k_aug.data["dsdp_in_.in"], sep="\n\t") + col = nl_data[col_file].strip("\n").split("\n") + row = nl_data[row_file].strip("\n").split("\n") + dsdp = dsdp.reshape((len(theta_names), int(len(dsdp)/len(theta_names)))) dsdp = dsdp[:len(theta_names), :len(col)] - try: - shutil.rmtree('dsdp', ignore_errors=True) - except OSError: - pass - col = [i for i in col - if SensitivityInterface.get_default_block_name() not in i] + + col = [i for i in col if sens.get_default_block_name() not in i] dsdp_out = np.zeros((len(theta_names),len(col))) - # e.g) k_aug dsdp returns -dx1/dx1 = -1.0 for i in range(len(theta_names)): for j in range(len(col)): - if SensitivityInterface.get_default_block_name() not in col[j]: - dsdp_out[i,j] = -dsdp[i, j] - - return sparse.csr_matrix(dsdp_out), col + if sens.get_default_block_name() not in col[j]: + dsdp_out[i,j] = -dsdp[i, j] # e.g) k_aug dsdp returns -dx1/dx1 = -1.0 + return scipy.sparse.csr_matrix(dsdp_out), col def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): """This function calculates gradient vector of the objective function - and constraints with respect to the variables in theta_names. + and constraints with respect to the variables and parameters. + e.g) min f: p1*x1+ p2*(x2^2) + p1*p2 s.t c1: x1 + x2 = p1 c2: x2 + x3 = p2 @@ -295,60 +276,61 @@ def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): p2 = 5 - Variables = (x1, x2, x3, p1, p2) - Fix p1 and p2 with estimated values + The following terms are used to define the output dimensions: Ncon = number of constraints Nvar = number of variables (Nx + Ntheta) - Nx = the numer of decision (primal) variables + Nx = number of decision (primal) variables Ntheta = number of uncertain parameters. + Parameters ---------- model: Pyomo ConcreteModel - model should includes an objective function + model should include an objective function theta_names: list of strings List of Var names tee: bool, optional Indicates that ef solver output should be teed solver_options: dict, optional Provides options to the solver (also the name of an attribute) - + Returns ------- gradient_f: numpy.ndarray - Length Nvar array. A gradient vector of the objective function - with respect to the (decision variables, parameters) - at the optimal solution + Length Nvar array. A gradient vector of the objective function + with respect to the (decision variables, parameters) at the optimal + solution gradient_c: scipy.sparse.csr.csr_matrix - Ncon by Nvar size sparse matrix. A Jacobian matrix of the constraints - with respect to the (decision variables, parameters) at the optimal - solution. Each row contains [column number, row number, and value], - colum order follows variable order in col and index starts from 1. - Note that it follows k_aug. If no constraint exists, return [] + Ncon by Nvar size sparse matrix. A Jacobian matrix of the + constraints with respect to the (decision variables, parameters) + at the optimal solution. Each row contains [row number, + column number, and value], column order follows variable order in col + and index starts from 0. Note that it follows k_aug. + If no constraint exists, return [] col: list - Size Nvar. list of variable names + Size Nvar list of variable names row: list - Size Ncon+1. List of constraints and objective function names + Size Ncon+1 list of constraints and objective function names. The final element is the objective function name. line_dic: dict column numbers of the theta_names in the model. Index starts from 1 + Raises ------ RuntimeError - When ipopt or kaug or dotsens is not available + When ipopt or k_aug or dotsens is not available Exception When ipopt fails """ - #Create the solver plugin using the ASL interface + # Create the solver plugin using the ASL interface ipopt = SolverFactory('ipopt',solver_io='nl') if solver_options is not None: ipopt.options = solver_options - kaug = SolverFactory('k_aug',solver_io='nl') - dotsens = SolverFactory('dot_sens',solver_io='nl') + k_aug = SolverFactory('k_aug',solver_io='nl') if not ipopt.available(False): raise RuntimeError('ipopt is not available') - if not kaug.available(False): + if not k_aug.available(False): raise RuntimeError('k_aug is not available') - if not dotsens.available(False): - raise RuntimeError('dotsens is not available') # Declare Suffixes _add_sensitivity_suffixes(model) @@ -356,10 +338,11 @@ def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): # K_AUG SUFFIXES model.dof_v = Suffix(direction=Suffix.EXPORT) #: SUFFIX FOR K_AUG model.rh_name = Suffix(direction=Suffix.IMPORT) #: SUFFIX FOR K_AUG AS WELL - kaug.options["print_kkt"] = "" + k_aug.options["print_kkt"] = "" + results = ipopt.solve(model,tee=tee) - # Rasie Exception if ipopt fails + # Raise exception if ipopt fails if (results.solver.status == SolverStatus.warning): raise Exception(results.solver.Message) @@ -367,58 +350,51 @@ def get_dfds_dcds(model, theta_names, tee=False, solver_options=None): f_mean = value(o) model.ipopt_zL_in.update(model.ipopt_zL_out) model.ipopt_zU_in.update(model.ipopt_zU_out) - #: run k_aug - kaug.solve(model, tee=tee) #: always call k_aug AFTER ipopt. - model.write('col_row.nl', format='nl', - io_options={'symbolic_solver_labels':True}) - # get the column numbers of theta - line_dic = {} - try: - for v in theta_names: - line_dic[v] = line_num('col_row.col', v) - # load gradient of the objective function - gradient_f = np.loadtxt("./GJH/gradient_f_print.txt") - with open ("col_row.col", "r") as myfile: - col = myfile.read().splitlines() - col = [i for i in col - if SensitivityInterface.get_default_block_name() not in i] - with open ("col_row.row", "r") as myfile: - row = myfile.read().splitlines() - except Exception as e: - print('File not found.') - raise e - # load gradient of all constraints (sparse) - # If no constraint exists, return [] - num_constraints = len(list(model.component_data_objects(Constraint, - active=True, - descend_into=True))) + + # run k_aug + k_aug_interface = K_augInterface(k_aug=k_aug) + k_aug_interface.k_aug(model, tee=tee) #: always call k_aug AFTER ipopt. + + nl_data = {} + with InTempDir(): + base_fname = "col_row" + nl_file = ".".join((base_fname, "nl")) + row_file = ".".join((base_fname, "row")) + col_file = ".".join((base_fname, "col")) + model.write(nl_file, io_options={"symbolic_solver_labels": True}) + for fname in [nl_file, row_file, col_file]: + with open(fname, "r") as fp: + nl_data[fname] = fp.read() + + col = nl_data[col_file].strip("\n").split("\n") + row = nl_data[row_file].strip("\n").split("\n") + + # get the column numbers of "parameters" + line_dic = {name: col.index(name) for name in theta_names} + + grad_f_file = os.path.join("GJH", "gradient_f_print.txt") + grad_f_string = k_aug_interface.data[grad_f_file] + gradient_f = np.fromstring(grad_f_string, sep="\n\t") + col = [i for i in col if SensitivityInterface.get_default_block_name() not in i] + + grad_c_file = os.path.join("GJH", "A_print.txt") + grad_c_string = k_aug_interface.data[grad_c_file] + gradient_c = np.fromstring(grad_c_string, sep="\n\t") + + # Jacobian file is in "COO format," i.e. an nnz-by-3 array. + # Reshape to a numpy array that matches this format. + gradient_c = gradient_c.reshape((-1, 3)) + + num_constraints = len(row)-1 # Objective is included as a row if num_constraints > 0 : - try: - # load text file from kaug - gradient_c = np.loadtxt("./GJH/A_print.txt") - # This is a sparse matrix - # gradient_c[:,0] are column index - # gradient_c[:,1] are data index - # gradient_c[:,1] are the matrix values - except Exception as e: - print('kaug file ./GJH/A_print.txt not found.') - - # Subtract 1 from row and column indices to convert from - # start at 1 (kaug) to start at 0 (numpy) row_idx = gradient_c[:,1]-1 col_idx = gradient_c[:,0]-1 data = gradient_c[:,2] - gradient_c = sparse.csr_matrix((data, (row_idx, col_idx)), - shape=(len(row)-1, len(col))) + gradient_c = scipy.sparse.csr_matrix((data, (row_idx, col_idx)), + shape=(num_constraints, len(col))) else: gradient_c = np.array([]) - # remove all generated files - - shutil.move("col_row.nl", "./GJH/") - shutil.move("col_row.col", "./GJH/") - shutil.move("col_row.row", "./GJH/") - shutil.rmtree('GJH', ignore_errors=True) - + return gradient_f, gradient_c, col,row, line_dic From eeed0bffad1c8e4c4c1225d56d5f262feeb020a7 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Tue, 7 Sep 2021 14:59:23 -0400 Subject: [PATCH 21/42] add a direct_toggle to package. --- pyomo/contrib/doe/fim_doe.py | 6 + pyomo/contrib/doe/reactor_control_doe.ipynb | 300 +---- .../doe/reactor_kinetics_kaug_case.ipynb | 1097 +++++++++++------ 3 files changed, 716 insertions(+), 687 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index f786bb4899f..9a93083e114 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -6,6 +6,7 @@ import time import pickle from itertools import permutations, product +from sens import get_dsdp from pyomo.contrib.sensitivity_toolbox.sens import sipopt, sensitivity_calculation @@ -216,6 +217,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No multiple scenarios. Sensitivity info estimated by finite difference 3. sequential_sipopt: calculate sensitivity by sIPOPT. 4. sequential_kaug: calculate sensitivity by k_aug + 5, direct_kaug: calculate sensitivity by k_aug with direct sensitivity. **In construction** Parameters: ----------- @@ -515,6 +517,10 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No return FIM_analysis + elif self.mode =='direct_kaug': + print('===In construction===') + + else: raise ValueError('This is not a valid mode. Choose from "sequential_finite", "simultaneous_finite", "sequential_sipopt", "sequential_kaug"') diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 14031f1297c..c74ec89aae2 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -17,7 +17,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "worth-origin", "metadata": {}, "outputs": [], @@ -105,7 +105,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "eligible-robert", "metadata": {}, "outputs": [], @@ -129,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "d576e9c4", "metadata": {}, "outputs": [], @@ -164,7 +164,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "47137cb2", "metadata": {}, "outputs": [], @@ -190,27 +190,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "written-tours", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The prior information FIM: [[0. 0. 0. 0.]\n", - " [0. 0. 0. 0.]\n", - " [0. 0. 0. 0.]\n", - " [0. 0. 0. 0.]]\n", - "Prior Det: 0.0\n", - "Eigenvalue of the prior experiments FIM: [0. 0. 0. 0.]\n", - "Eigenvalue of the prior experiments FIM: [[1. 0. 0. 0.]\n", - " [0. 1. 0. 0.]\n", - " [0. 0. 1. 0.]\n", - " [0. 0. 0. 1.]]\n" - ] - } - ], + "outputs": [], "source": [ "# empty prior\n", "prior_all = np.zeros((4,4))\n", @@ -246,18 +229,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "d3ee5ff9", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Design variable: {'CA0': {0: 5}, 'T': {0: 570.21, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n" - ] - } - ], + "outputs": [], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", @@ -452,7 +427,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "427c7dc8", "metadata": {}, "outputs": [], @@ -472,270 +447,19 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "dcfae212", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "9 design vectors will be searched.\n", - "=======This is the 1 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Build time with simultaneous_finite mode [s]: 0.3319430351257324\n", - "Solve time with simultaneous_finite mode [s]: 0.5407359600067139\n", - "FIM: [[ 0.90110466 0.07362418 -2.80952561 -0.44413588]\n", - " [ 0.07362418 0.72393115 -0.22954992 -4.36711698]\n", - " [-2.80952561 -0.22954992 8.75973063 1.3847538 ]\n", - " [-0.44413588 -4.36711698 1.3847538 26.34464701]]\n", - "Trace: 36.72941344970436\n", - "Determinant: 4.848420237841799e-22\n", - "Condition number: 32000861658218.707\n", - "Minimal eigen value: 8.497433764694806e-13\n", - "Eigen values: [9.53689321e+00 2.71925202e+01 8.49743376e-13 2.19946844e-12]\n", - "Eigen vectors: [[ 0.30433403 -0.02558873 -0.87126293 -0.38399438]\n", - " [-0.01370187 -0.16296194 0.39806891 -0.90276514]\n", - " [-0.94887345 0.07978216 -0.27944181 -0.12315939]\n", - " [ 0.08265733 0.98306838 0.06598731 -0.14965018]]\n", - "Model objective: 0.0\n", - "Solution of CA0 : [1.0]\n", - "Solution of T : [300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0]\n", - "======problem solver output======\n", - "converged\n", - "This is the 1 run out of 9 run.\n", - "The code has run 0.8766 seconds.\n", - "Estimated remaining time: 7.0129 seconds\n", - "=======This is the 2 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Build time with simultaneous_finite mode [s]: 0.3724820613861084\n", - "Solve time with simultaneous_finite mode [s]: 1.7483110427856445\n", - "FIM: [[ 0.24598019 0.14288621 -0.46016056 -0.51717718]\n", - " [ 0.14288621 0.33243486 -0.26730045 -1.20324919]\n", - " [-0.46016056 -0.26730045 0.86083247 0.96749498]\n", - " [-0.51717718 -1.20324919 0.96749498 4.35516487]]\n", - "Trace: 5.79441239703121\n", - "Determinant: -1.815591332947058e-25\n", - "Condition number: -143299310696519.22\n", - "Minimal eigen value: -3.502275879610854e-14\n", - "Eigen values: [ 5.01873719e+00 7.75675203e-01 -3.50227588e-14 1.31959417e-12]\n", - "Eigen vectors: [[ 0.13169746 0.45265633 0.86838132 -0.15402943]\n", - " [ 0.25570167 -0.07439479 -0.16815949 -0.94907374]\n", - " [-0.24636939 -0.84679404 0.46419586 -0.0823369 ]\n", - " [-0.92551313 0.26927219 -0.0464593 -0.26221101]]\n", - "Model objective: 0.0\n", - "Solution of CA0 : [1.0]\n", - "Solution of T : [500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0]\n", - "======problem solver output======\n", - "converged\n", - "This is the 2 run out of 9 run.\n", - "The code has run 3.0008 seconds.\n", - "Estimated remaining time: 10.5027 seconds\n", - "=======This is the 3 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Build time with simultaneous_finite mode [s]: 0.5022358894348145\n", - "Solve time with simultaneous_finite mode [s]: 1.095961093902588\n", - "FIM: [[ 0.0955446 0.06080451 -0.12766957 -0.15720165]\n", - " [ 0.06080451 0.07360905 -0.08124883 -0.19030599]\n", - " [-0.12766957 -0.08124883 0.17059592 0.21005761]\n", - " [-0.15720165 -0.19030599 0.21005761 0.49200974]]\n", - "Trace: 0.8317593142962652\n", - "Determinant: -8.691222222811781e-29\n", - "Condition number: -26139710189148.05\n", - "Minimal eigen value: -2.810129210688892e-14\n", - "Eigen values: [ 7.34559632e-01 9.71996827e-02 -2.81012921e-14 4.32504556e-14]\n", - "Eigen vectors: [[-0.30847678 0.51365626 0.74429827 -0.29485143]\n", - " [-0.30926345 -0.18572861 -0.34364034 -0.86711226]\n", - " [ 0.41219601 -0.68636272 0.5570137 -0.22065914]\n", - " [ 0.79955778 0.48017534 -0.13291783 -0.33539306]]\n", - "Model objective: 0.0\n", - "Solution of CA0 : [1.0]\n", - "Solution of T : [700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0]\n", - "======problem solver output======\n", - "converged\n", - "This is the 3 run out of 9 run.\n", - "The code has run 4.6021 seconds.\n", - "Estimated remaining time: 9.2042 seconds\n", - "=======This is the 4 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Build time with simultaneous_finite mode [s]: 0.41927289962768555\n", - "Solve time with simultaneous_finite mode [s]: 0.5688638687133789\n", - "FIM: [[ 8.10994198 0.66261758 -25.28573045 -3.99722296]\n", - " [ 0.66261758 6.51538037 -2.06594927 -39.30405278]\n", - " [-25.28573045 -2.06594927 78.83757565 12.4627842 ]\n", - " [ -3.99722296 -39.30405278 12.4627842 237.10182305]]\n", - "Trace: 330.5647210472488\n", - "Determinant: 3.182166140053707e-18\n", - "Condition number: 31971143902888.63\n", - "Minimal eigen value: 7.654799054477695e-12\n", - "Eigen values: [8.58320389e+01 2.44732682e+02 7.65479905e-12 1.97950855e-11]\n", - "Eigen vectors: [[ 0.30433403 0.02558873 0.87157028 -0.38399578]\n", - " [-0.01370187 0.16296194 -0.39734607 -0.90276451]\n", - " [-0.94887345 -0.07978216 0.27954039 -0.12315983]\n", - " [ 0.08265733 -0.98306838 -0.06586749 -0.14965008]]\n", - "Model objective: 0.0\n", - "Solution of CA0 : [3.0]\n", - "Solution of T : [300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0]\n", - "======problem solver output======\n", - "converged\n", - "This is the 4 run out of 9 run.\n", - "The code has run 5.5931 seconds.\n", - "Estimated remaining time: 6.9914 seconds\n", - "=======This is the 5 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Build time with simultaneous_finite mode [s]: 0.434459924697876\n", - "Solve time with simultaneous_finite mode [s]: 1.3273720741271973\n", - "FIM: [[ 2.21382202 1.285977 -4.14144573 -4.65459942]\n", - " [ 1.285977 2.99191641 -2.40570637 -10.82925338]\n", - " [ -4.14144573 -2.40570637 7.74749395 8.70746482]\n", - " [ -4.65459942 -10.82925338 8.70746482 39.19652586]]\n", - "Trace: 52.14975824125779\n", - "Determinant: -7.385416287631517e-20\n", - "Condition number: -2489296357382.7974\n", - "Minimal eigen value: -1.8145160610161754e-11\n", - "Eigen values: [ 4.51686822e+01 6.98107603e+00 -1.81451606e-11 1.29089123e-11]\n", - "Eigen vectors: [[-0.13169743 0.45265633 0.81114771 0.3461436 ]\n", - " [-0.25570165 -0.07439481 0.37829325 -0.88654095]\n", - " [ 0.24636936 -0.84679406 0.43360143 0.18503214]\n", - " [ 0.92551315 0.26927214 0.10451518 -0.2449344 ]]\n", - "Model objective: 0.0\n", - "Solution of CA0 : [3.0]\n", - "Solution of T : [500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0]\n", - "======problem solver output======\n", - "converged\n", - "This is the 5 run out of 9 run.\n", - "The code has run 7.3575 seconds.\n", - "Estimated remaining time: 5.8860 seconds\n", - "=======This is the 6 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Build time with simultaneous_finite mode [s]: 0.43378305435180664\n", - "Solve time with simultaneous_finite mode [s]: 1.6689980030059814\n", - "FIM: [[ 0.85990146 0.54724064 -1.14902622 -1.41481492]\n", - " [ 0.54724064 0.66248148 -0.73123956 -1.71275398]\n", - " [-1.14902622 -0.73123956 1.53536341 1.89051864]\n", - " [-1.41481492 -1.71275398 1.89051864 4.42808789]]\n", - "Trace: 7.485834244651739\n", - "Determinant: 8.957377282555919e-24\n", - "Condition number: -147552189942.59723\n", - "Minimal eigen value: -4.4804737205676124e-11\n", - "Eigen values: [ 6.61103709e+00 8.74797150e-01 -3.45534400e-14 -4.48047372e-11]\n", - "Eigen vectors: [[-0.30847678 0.51365625 -0.79812061 -0.06326647]\n", - " [-0.30926345 -0.18572861 -0.07370199 0.92974687]\n", - " [ 0.41219601 -0.68636271 -0.59729292 -0.04734708]\n", - " [ 0.79955778 0.48017535 -0.02850732 0.35961975]]\n", - "Model objective: 0.0\n", - "Solution of CA0 : [3.0]\n", - "Solution of T : [700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0]\n", - "======problem solver output======\n", - "converged\n", - "This is the 6 run out of 9 run.\n", - "The code has run 9.4631 seconds.\n", - "Estimated remaining time: 4.7315 seconds\n", - "=======This is the 7 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Build time with simultaneous_finite mode [s]: 0.45238804817199707\n", - "Solve time with simultaneous_finite mode [s]: 0.5244119167327881\n", - "FIM: [[ 22.52761661 1.84060438 -70.23814013 -11.10339711]\n", - " [ 1.84060438 18.09827882 -5.73874798 -109.17792438]\n", - " [ -70.23814013 -5.73874798 218.99326569 34.61884501]\n", - " [ -11.10339711 -109.17792438 34.61884501 658.61617513]]\n", - "Trace: 918.2353362424958\n", - "Determinant: 1.8955498930354072e-16\n", - "Condition number: 31991358012551.746\n", - "Minimal eigen value: 2.124989522538602e-11\n", - "Eigen values: [2.38422330e+02 6.79813006e+02 2.12498952e-11 5.49790755e-11]\n", - "Eigen vectors: [[ 0.30433403 -0.02558873 -0.8713534 -0.38383774]\n", - " [-0.01370187 -0.16296194 0.3978563 -0.90283664]\n", - " [-0.94887345 0.07978216 -0.27947083 -0.12310915]\n", - " [ 0.08265733 0.98306838 0.06595207 -0.14966203]]\n", - "Model objective: 0.0\n", - "Solution of CA0 : [5.0]\n", - "Solution of T : [300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0]\n", - "======problem solver output======\n", - "converged\n", - "This is the 7 run out of 9 run.\n", - "The code has run 10.4430 seconds.\n", - "Estimated remaining time: 2.9837 seconds\n", - "=======This is the 8 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Build time with simultaneous_finite mode [s]: 0.4410738945007324\n", - "Solve time with simultaneous_finite mode [s]: 1.3259389400482178\n", - "FIM: [[ 6.14950553 3.57215823 -11.50401577 -12.92944257]\n", - " [ 3.57215823 8.3108788 -6.68251754 -30.08125916]\n", - " [-11.50401577 -6.68251754 21.52081631 24.1874019 ]\n", - " [-12.92944257 -30.08125916 24.1874019 108.87923816]]\n", - "Trace: 144.86043880001145\n", - "Determinant: 1.1470088080016433e-19\n", - "Condition number: 147491213778546.7\n", - "Minimal eigen value: 8.506849851873313e-13\n", - "Eigen values: [1.25468561e+02 1.93918778e+01 8.50684985e-13 5.55629387e-11]\n", - "Eigen vectors: [[-0.13169743 0.45265633 0.88063857 -0.04731781]\n", - " [-0.25570165 -0.07439481 -0.051656 -0.96250064]\n", - " [ 0.24636935 -0.84679406 0.470748 -0.02529383]\n", - " [ 0.92551315 0.26927214 -0.01427162 -0.2659206 ]]\n", - "Model objective: 0.0\n", - "Solution of CA0 : [5.0]\n", - "Solution of T : [500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0]\n", - "======problem solver output======\n", - "converged\n", - "This is the 8 run out of 9 run.\n", - "The code has run 12.2128 seconds.\n", - "Estimated remaining time: 1.5266 seconds\n", - "=======This is the 9 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Build time with simultaneous_finite mode [s]: 0.5352678298950195\n", - "Solve time with simultaneous_finite mode [s]: 1.1077849864959717\n", - "FIM: [[ 2.388615 1.5201127 -3.19173924 -3.93004095]\n", - " [ 1.5201127 1.84022611 -2.03122073 -4.75764943]\n", - " [-3.19173924 -2.03122073 4.26489803 5.25144001]\n", - " [-3.93004095 -4.75764943 5.25144001 12.30024292]]\n", - "Trace: 20.793982052867545\n", - "Determinant: -1.337386503483691e-23\n", - "Condition number: -493772228438.5899\n", - "Minimal eigen value: -3.719121670475106e-11\n", - "Eigen values: [ 1.83639900e+01 2.42999210e+00 8.66821281e-15 -3.71912167e-11]\n", - "Eigen vectors: [[-0.30847678 0.51365625 -0.80057845 0.00853767]\n", - " [-0.30926345 -0.1857286 0.00998474 0.93261036]\n", - " [ 0.41219601 -0.68636271 -0.59913231 0.00638929]\n", - " [ 0.79955778 0.48017535 0.00386213 0.36072731]]\n", - "Model objective: 0.0\n", - "Solution of CA0 : [5.0]\n", - "Solution of T : [700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0, 700.0]\n", - "======problem solver output======\n", - "converged\n", - "This is the 9 run out of 9 run.\n", - "The code has run 13.8587 seconds.\n", - "Estimated remaining time: 0.0000 seconds\n", - "Overall model building time [s]: 3.9229066371917725\n", - "Overall model solve time [s]: 9.908377885818481\n", - "Overall wall clock time [s]: 13.858909845352173\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", " prior_FIM=prior_pass, discretize_model=disc)\n", "\n", "all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", - " mode='simultaneous_finite', \n", + " mode='sequential_kaug', \n", " scale_nominal_param_value=True\n", " )" ] diff --git a/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb index 7da1e27f1ea..9e23f5093cd 100644 --- a/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb +++ b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb @@ -2,10 +2,20 @@ "cells": [ { "cell_type": "code", - "execution_count": 11, + "execution_count": 1, "id": "41a5ca6d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", + " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", + " (deprecated in 6.1) (called from :228)\n" + ] + } + ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", @@ -13,94 +23,83 @@ "from pyomo.dae import *\n", "import pandas as pd\n", "from get_sensitivity import *\n", - "#from pyomo.contrib.sensitivity_toolbox.sens import sensitivity_calculation, get_dsdp, get_dfds_dcds\n", - "from idaes.apps.uncertainty_propagation.sens import get_dsdp, get_dfds_dcds" + "#from sens import get_dsdp\n", + "#from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp, get_dfds_dcds\n", + "#from idaes.apps.uncertainty_propagation.uncertainties import propagate_uncertainty\n", + "from idaes.apps.uncertainty_propagation.sens import get_dsdp\n", + "import time" ] }, { "cell_type": "code", "execution_count": 2, - "id": "7ae12c2f", + "id": "58c72305", + "metadata": {}, + "outputs": [], + "source": [ + "time_an = list(np.linspace(0,1,9))" + ] + }, + { + "cell_type": "markdown", + "id": "7801f41e", + "metadata": {}, + "source": [ + "### Analytical model, without parameter index" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "28406a87", "metadata": {}, "outputs": [], "source": [ - "def reactor_run(dv=[1.0, 300], param_init=[84.79085853498033, 371.71773413976416, \n", - " 7.777032028026428, 15.047135137500822]):\n", + "\n", + "def create_model2(CA_init=5, T_init=300):\n", + " '''Model for get_sensitivity, defining measurements as cosntraints\n", " '''\n", - " This function contains the reactor kinetics model.\n", " \n", - " Arguments:\n", - " dv: design variable values, [CA_init: initial value of CA [M], T_init: initial temperature [K]]\n", - " para_samp: parameter values, size [# of sample]\n", - " \n", - " Return: \n", - " m: reactor kinetics model\n", - " '''\n", " # time points \n", - " timepoint = [0.0, 0.125, 0.25, 0.375, 0.5,0.625, 0.75, 0.875, 1.0]\n", - " \n", - " # parameter names\n", - " para_list = ['A1', 'A2', 'E1', 'E2']\n", - " \n", + " #timepoint = [0.0, 0.125, 0.25, 0.375, 0.5,0.625, 0.75, 0.875, 1.0]\n", + " timepoint = time_an\n", " # names of observed variables\n", " y_list = ['CA','CB','CC']\n", + " theta_p = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}\n", " \n", - " ### Create mathematical model\n", - " m = ConcreteModel()\n", - " \n", - " ## Define experimental design variables\n", - " # Initial concentration of CA0S\n", - " m.CA0 = Var(initialize = dv[0], bounds=(1.0,5.0), within=NonNegativeReals) # mol/L\n", - " m.CA0.fix()\n", - " \n", - " # Reactor temperature (constant)\n", - " m.T = Var(initialize = dv[1], bounds=(300, 700), within=NonNegativeReals) \n", - " m.T.fix()\n", + " m= ConcreteModel()\n", + "\n", + " m.CA0 = CA_init\n", + " m.T = T_init\n", " \n", " # Define ideal gas constant\n", - " m.R = 8.31446261815324 # J / K / mole\n", - " \n", + " m.R = 8.31446261815324 # J / K / mol\n", "\n", " ### Define sets and expressions\n", " # timepoint\n", " m.t = Set(initialize=timepoint)\n", " \n", - " # parameter index\n", - " m.para = Set(initialize=para_list)\n", - " \n", " # response/observed variables\n", " m.y = Set(initialize=y_list)\n", + "\n", + " m.A1 = Var(initialize = theta_p['A1'])\n", + " m.A2 = Var(initialize = theta_p['A2'])\n", + " m.E1 = Var(initialize = theta_p['E1'])\n", + " m.E2 = Var(initialize = theta_p['E2'])\n", " \n", " # Concentration of A, B, and C [mol/L]\n", " m.C = Var(m.y, m.t, initialize=0.0, within=NonNegativeReals)\n", - " \n", - " # Define parameters\n", - " m.A1 = Param(initialize=param_init[0],mutable=True)\n", - " m.A2 = Param(initialize=param_init[1],mutable=True)\n", - " m.E1 = Param(initialize=param_init[2],mutable=True)\n", - " m.E2 = Param(initialize=param_init[3],mutable=True)\n", - " \n", - " \n", - " m.A1_pert = Param(initialize=param_init[0]*1.1)\n", - " m.A2_pert = Param(initialize=param_init[1])\n", - " m.E1_pert = Param(initialize=param_init[2])\n", - " m.E2_pert = Param(initialize=param_init[3])\n", - " \n", - " \n", - " ### Define the mathematical model\n", - " # Rate law for reaction 1 (Arrhenius equation)\n", + " m.dCdt = Var(m.y, m.t, initialize=0.0, within=NonNegativeReals)\n", + "\n", " def k1_rule(m):\n", - " return m.A1 * exp(-m.E1*1000/(m.R*m.T))\n", - " \n", - " m.k1 = Expression(rule = k1_rule) # 1/hr\n", - " \n", - " # Rate law for reaction 2\n", + " return m.A1*exp(-m.E1*1000/m.R/m.T)\n", + "\n", " def k2_rule(m):\n", - " return m.A2 * exp(-m.E2*1000/(m.R*m.T))\n", - " \n", - " m.k2 = Expression(rule = k2_rule) # 1/hr\n", + " return m.A2 * exp(-m.E2*1000/m.R/m.T)\n", + "\n", + " m.k1 = Expression(rule = k1_rule) # 1/hr\n", + " m.k2 = Expression(rule = k2_rule)\n", " \n", - " # Calculate model response variables\n", " def conc(m,i,t):\n", " '''\n", " Calculate the model predictions\n", @@ -113,461 +112,761 @@ " elif i == 'CB':\n", " return m.C['CB',t] == m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", " else:\n", - " return m.C['CC',t] == m.CA0 - m.C['CA',t] - m.C['CB',t]\n", - " \n", + " return m.C['CC',t] == m.CA0 - m.CA0*exp(-m.k1*t) - m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", + "\n", " m.rate = Constraint(m.y, m.t, rule=conc)\n", " \n", + " def gradient(m, i, t):\n", + " if i=='CA':\n", + " return m.dCdt['CA',t] == -m.k1*m.C['CA',t]\n", + " elif i=='CB':\n", + " return m.dCdt['CB',t] == m.k1*m.C['CA',t] - m.k2*m.C['CB',t]\n", + " elif i=='CC':\n", + " return m.dCdt['CC',t] == m.k2*m.C['CB',t]\n", + " \n", + " #m.grad = Constraint(m.y, m.t, rule=gradient)\n", + "\n", " def obj_rule(m):\n", " return 0\n", " \n", - " m.Obj = Objective(rule=obj_rule, sense= minimize)\n", - " \n", - " m.A1.setlb(param_init[0])\n", - " m.A1.setub(param_init[0])\n", - " \n", - " m.A2.setlb(param_init[1])\n", - " m.A2.setub(param_init[1])\n", - " \n", - " m.E1.setlb(param_init[2])\n", - " m.E1.setub(param_init[2])\n", - " \n", - " m.E2.setlb(param_init[3])\n", - " m.E2.setub(param_init[3])\n", - " \n", + " m.Obj = Objective(rule=obj_rule, sense=maximize)\n", " \n", - " # Return Pyomo model\n", + " for v in variable_name:\n", + " getattr(m, v).setlb(theta_p[v])\n", + " getattr(m, v).setub(theta_p[v])\n", + " \n", " return m" ] }, { - "cell_type": "markdown", - "id": "ae14f673", + "cell_type": "code", + "execution_count": 4, + "id": "dffa0be3", "metadata": {}, + "outputs": [], "source": [ - "## Test k_aug" + "def create_model(scena, CA_init=5, T_init=300, C_init=1):\n", + " '''\n", + " This is an example user model provided to DoE library. \n", + " It is a problem using algebraic equations.\n", + " \n", + " Arguments:\n", + " scena: a dictionary of scenarios, achieved from scenario_generator()\n", + " \n", + " Time-independent design variable: \n", + " - CA_init: CA0 value\n", + " - T_init: T value\n", + "\n", + " C_init: initial value for C\n", + " \n", + " Return:\n", + " m: a Pyomo.DAE model \n", + " '''\n", + " # parameters initialization, results from parameter estimation\n", + " theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}\n", + " # concentration initialization\n", + " y_init = {'CA': value(CA_init), 'CB':0.0, 'CC':0.0}\n", + " \n", + " para_list = ['A1', 'A2', 'E1', 'E2']\n", + " \n", + " ### Add variables \n", + " m = ConcreteModel()\n", + " \n", + " m.CA_init = CA_init\n", + " m.para_list = para_list\n", + " \n", + " m.scena_all = scena \n", + " m.scena = Set(initialize=scena['scena-name'])\n", + " \n", + " # timepoints\n", + " \n", + " #m.t = Set(initialize=[0,0.125,0.25,0.375,0.5,0.625,0.75,0.875,1])\n", + " m.t = Set(initialize=time_an)\n", + " \n", + " m.t_con = Set(initialize=[0])\n", + " \n", + " # time-independent design variable\n", + " m.CA0 = Var(m.t_con, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L\n", + " \n", + " m.T = Var(m.t, initialize = T_init, bounds=(300, 700), within=NonNegativeReals)\n", + " \n", + " m.R = 8.31446261815324 # J / K / mole\n", + " \n", + " # Define parameters\n", + " #m.A1 = Param(m.scena, initialize=m.scena_all['A1'],mutable=True)\n", + " #m.A2 = Param(m.scena, initialize=m.scena_all['A2'],mutable=True)\n", + " #m.E1 = Param(m.scena, initialize=m.scena_all['E1'],mutable=True)\n", + " #m.E2 = Param(m.scena, initialize=m.scena_all['E2'],mutable=True)\n", + " \n", + " m.A1 = Var(m.scena, initialize = m.scena_all['A1'])\n", + " m.A2 = Var(m.scena, initialize = m.scena_all['A2'])\n", + " m.E1 = Var(m.scena, initialize = m.scena_all['E1'])\n", + " m.E2 = Var(m.scena, initialize = m.scena_all['E2'])\n", + " \n", + " # Concentration variables under perturbation\n", + " m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals)\n", + " m.CB = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals)\n", + " m.CC = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals)\n", + "\n", + " \n", + " # kinetic parameters\n", + " def kp1_init(m,s,t):\n", + " return m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t]))\n", + " \n", + " def kp2_init(m,s,t):\n", + " return m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t]))\n", + " \n", + " m.kp1 = Var(m.scena, m.t, initialize=kp1_init)\n", + " m.kp2 = Var(m.scena, m.t, initialize=kp2_init)\n", + " \n", + " def cal_kp1(m,z,t):\n", + " '''\n", + " Create the perturbation parameter sets \n", + " m: model\n", + " z: scenario number\n", + " t: time\n", + " '''\n", + " # LHS: 1/h\n", + " # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K)\n", + " return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) \n", + " \n", + " def cal_kp2(m,z,t):\n", + " '''\n", + " Create the perturbation parameter sets \n", + " m: model\n", + " z: m.pert, upper or normal or lower perturbation\n", + " t: time\n", + " '''\n", + " # LHS: 1/h\n", + " # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K)\n", + " return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) \n", + " \n", + " # Calculate model response variables\n", + " def CA_conc(m,z,t):\n", + " '''\n", + " Calculate the model predictions\n", + " Argument: \n", + " z: scenario\n", + " t: timepoints\n", + " '''\n", + " return m.CA[z,t] == m.CA0[0]*exp(-m.kp1[z,t]*t)\n", + " \n", + " def CB_conc(m,z,t):\n", + " '''\n", + " Calculate the model predictions\n", + " Argument: \n", + " z: scenario\n", + " t: timepoints\n", + " '''\n", + " return m.CB[z,t] == m.kp1[z,t]*m.CA0[0]/(m.kp2[z,t]-m.kp1[z,t]) * (exp(-m.kp1[z,t]*t) - exp(-m.kp2[z,t]*t))\n", + " \n", + " def CC_conc(m,z,t):\n", + " '''\n", + " Calculate the model predictions\n", + " Argument: \n", + " z: scenario\n", + " t: timepoints\n", + " '''\n", + " return m.CC[z,t] == m.CA0[0] - m.CA[z,t] - m.CB[z,t]\n", + " \n", + " \n", + " def T_const(m,t):\n", + " if t==0:\n", + " return Constraint.Skip\n", + " else:\n", + " return m.T[t] == m.T[0]\n", + " \n", + " def obj_rule(m):\n", + " return 0\n", + " \n", + " m.Obj = Objective(rule=obj_rule, sense=maximize)\n", + " \n", + " \n", + " # calculating C, Jacobian, FIM\n", + " m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1)\n", + " m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2)\n", + " m.dCAdt_rule = Constraint(m.scena, m.t, rule=CA_conc)\n", + " m.dCBdt_rule = Constraint(m.scena, m.t, rule=CB_conc)\n", + " m.dCCdt_rule = Constraint(m.scena, m.t, rule=CC_conc)\n", + " #m.CA0_keep = Constraint(m.t, rule=CA0_const)\n", + " #m.T_keep = Constraint(m.t, rule=T_const)\n", + " \n", + " \n", + " return m \n" ] }, { "cell_type": "code", - "execution_count": null, - "id": "42792ec9", + "execution_count": 5, + "id": "471c51b8", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A1\n", + "A1\n", + "371.71773413976416\n" + ] + } + ], "source": [ - "param_initial = [84.79085853498033, 371.71773413976416, 7.777032028026428, 15.047135137500822]\n", + "from pyomo.environ import (\n", + " Param, Var, Block, ComponentMap, Objective, Constraint,\n", + " ConstraintList, Suffix, value, ComponentUID,\n", + ")\n", + "\n", + "\n", + "mod= create_model(scena={'scena-name': [0], 'A1':84.79085853498033,'A2': 371.71773413976416,\n", + " 'E1':7.777032028026428, 'E2':15.047135137500822})\n", + "\n", + "\n", + "def add_comp(m):\n", + " para_name = ['A1','A2','E1','E2']\n", + "\n", + " comp = m.find_component('A1')\n", + " print(comp)\n", + "\n", + " #m.del_component('A1')\n", + " #m.del_component('A2')\n", + " #m.del_component('E1')\n", + " #m.del_component('E2')\n", "\n", + " m.CA0.fix()\n", + " m.T.fix()\n", + " #m.A1 = Var(m.scena, initialize=m.scena_all['A1'])\n", + "\n", + " for item in para_name:\n", + " #setattr(m, item, Var(m.scena, initialize=m.scena_all[item]))\n", + " compe = eval('m.' + item + '[0]')\n", + " compe.setlb(m.scena_all[item])\n", + " compe.setub(m.scena_all[item])\n", + " \n", + " \n", + " \n", + " #m.A1[0].setlb(m.scena_all['A1'])\n", + " #m.A2[0].setlb(m.scena_all['A2'])\n", + " #m.E1[0].setlb(m.scena_all['E1'])\n", + " #m.E2[0].setlb(m.scena_all['E2'])\n", + " #m.A1[0].setub(m.scena_all['A1'])\n", + " #m.A2[0].setub(m.scena_all['A2'])\n", + " #m.E1[0].setub(m.scena_all['E1'])\n", + " #m.E2[0].setub(m.scena_all['E2'])\n", + " \n", + " #m.A1[0].setlb(m.scena_all['A1'])\n", + " #m.A1[0].setub(m.scena_all['A1'])\n", "\n", - "mod = reactor_run(param_init=param_initial)\n", + " print(m.A1)\n", + " return m \n", "\n", - "solver = SolverFactory('ipopt')\n", - "solver.solve(mod, tee=True)" + "mod = add_comp(mod)\n", + "print(value(mod.A2[0]))" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "8e0d298b", + "cell_type": "markdown", + "id": "f6f63ab9", "metadata": {}, - "outputs": [], "source": [ - "print(value(eval('mod.C[\"CA\", 0.125]')))" + "### Analytical model with scenario index" ] }, { "cell_type": "code", "execution_count": null, - "id": "6cc94c74", + "id": "bc86ed32", "metadata": {}, "outputs": [], "source": [ + "def create_model_scena(scena, CA_init=5, T_init=300, C_init=1):\n", + " '''Model for get_sensitivity, defining measurements as cosntraints\n", + " '''\n", + " \n", + " # parameters initialization, results from parameter estimation\n", + " theta_p = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}\n", + " # concentration initialization\n", + " y_init = {'CA': value(CA_init), 'CB':0.0, 'CC':0.0}\n", + " \n", + " para_list = ['A1', 'A2', 'E1', 'E2']\n", + " \n", + " # names of observed variables\n", + " y_list = ['CA','CB','CC']\n", + " \n", + " \n", + " ### add variable \n", + " m= ConcreteModel()\n", "\n", + " m.CA_init = CA_init\n", + " m.para_list = para_list\n", + " \n", + " m.scena_all = scena\n", + " m.scena = Set(initialize=scena['scena-name'])\n", "\n", + " ### Define sets and expressions\n", + " # timepoint\n", + " m.t = Set(initialize=time_an)\n", + " \n", + " m.t_con = Set(initialize=[0])\n", + " \n", + " # time-independent design variable\n", + " m.CA0 = Var(m.t_con, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L\n", + " m.CA0.fix()\n", + " \n", + " m.T = Var(m.t, initialize = T_init, bounds=(300, 700), within=NonNegativeReals)\n", + " m.T.fix()\n", + " \n", + " # Define ideal gas constant\n", + " m.R = 8.31446261815324 # J / K / mol\n", "\n", - "list_original = [mod.A1,mod.A2,mod.E1,mod.E2]\n", - "list_perturb = [mod.A1_pert, mod.A2_pert, mod.E1_pert, mod.E2_pert]\n", + " m.A1 = Var(m.scena, initialize = theta_p['A1'])\n", + " m.A2 = Var(m.scena, initialize = theta_p['A2'])\n", + " m.E1 = Var(m.scena, initialize = theta_p['E1'])\n", + " m.E2 = Var(m.scena, initialize = theta_p['E2'])\n", + " \n", + " # Concentration of A, B, and C [mol/L]\n", + " m.CA = Var(m.scena, m.t, initialize=0.0, within=NonNegativeReals)\n", + " m.CB = Var(m.scena, m.t, initialize=0.0, within=NonNegativeReals)\n", + " m.CC = Var(m.scena, m.t, initialize=0.0, within=NonNegativeReals)\n", + " #m.dCdt = Var(m.y, m.t, initialize=0.0, within=NonNegativeReals)\n", "\n", + " def k1_rule(m,s,t):\n", + " return m.A1[s]*exp(-m.E1[s]*1000/m.R/m.T[t])\n", "\n", - "#m_sipopt = sensitivity_calculation('sipopt', mod, list_original, list_perturb, tee=True)\n", - "m_kaug_dsdp = sensitivity_calculation('k_aug', mod, list_original, list_perturb, tee=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b0b03ca3", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ef05a6ba", - "metadata": {}, - "outputs": [], - "source": [ - "#x = eval('m_sipopt.sens_sol_state_1[m_sipopt.C[\"CB\",0.125]]')\n", - "y = eval('m_kaug_dsdp.C[\"CB\",0.125]()')\n", + " def k2_rule(m,s,t):\n", + " return m.A2[s] * exp(-m.E2[s]*1000/m.R/m.T[t])\n", "\n", - "print(y)" + " m.kp1 = Var(m.scena, m.t, initialize = k1_rule) # 1/hr\n", + " m.kp2 = Var(m.scena, m.t, initialize = k2_rule)\n", + " \n", + " def cal_kp1(m,z,t):\n", + " '''\n", + " Create the perturbation parameter sets \n", + " m: model\n", + " z: scenario number\n", + " t: time\n", + " '''\n", + " # LHS: 1/h\n", + " # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K)\n", + " return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) \n", + " \n", + " def cal_kp2(m,z,t):\n", + " '''\n", + " Create the perturbation parameter sets \n", + " m: model\n", + " z: m.pert, upper or normal or lower perturbation\n", + " t: time\n", + " '''\n", + " # LHS: 1/h\n", + " # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K)\n", + " return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) \n", + " \n", + " # Calculate model response variables\n", + " def CA_conc(m,z,t):\n", + " '''\n", + " Calculate the model predictions\n", + " Argument: \n", + " z: scenario\n", + " t: timepoints\n", + " '''\n", + " return m.CA[z,t] == m.CA0[0]*exp(-m.kp1[z,t]*t)\n", + " \n", + " def CB_conc(m,z,t):\n", + " '''\n", + " Calculate the model predictions\n", + " Argument: \n", + " z: scenario\n", + " t: timepoints\n", + " '''\n", + " return m.CB[z,t] == m.kp1[z,t]*m.CA0[0]/(m.kp2[z,t]-m.kp1[z,t]) * (exp(-m.kp1[z,t]*t) - exp(-m.kp2[z,t]*t))\n", + " \n", + " def CC_conc(m,z,t):\n", + " '''\n", + " Calculate the model predictions\n", + " Argument: \n", + " z: scenario\n", + " t: timepoints\n", + " '''\n", + " return m.CC[z,t] == m.CA0[0] - m.CA[z,t] - m.CB[z,t]\n", + " \n", + " \n", + " def T_const(m,t):\n", + " if t==0:\n", + " return Constraint.Skip\n", + " else:\n", + " return m.T[t] == m.T[0]\n", + " \n", + " \n", + " # calculating C, Jacobian, FIM\n", + " m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1)\n", + " m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2)\n", + " m.dCAdt_rule = Constraint(m.scena, m.t, rule=CA_conc)\n", + " m.dCBdt_rule = Constraint(m.scena, m.t, rule=CB_conc)\n", + " m.dCCdt_rule = Constraint(m.scena, m.t, rule=CC_conc)\n", + " #m.CA0_keep = Constraint(m.t, rule=CA0_const)\n", + " #m.T_keep = Constraint(m.t, rule=T_const)\n", + " \n", + "\n", + " def obj_rule(m):\n", + " return 0\n", + " \n", + " m.Obj = Objective(rule=obj_rule, sense=maximize)\n", + " \n", + " for v in variable_name:\n", + " m.A1[0].setlb(theta_p['A1'])\n", + " m.A2[0].setlb(theta_p['A2'])\n", + " m.E1[0].setlb(theta_p['E1'])\n", + " m.E2[0].setlb(theta_p['E2'])\n", + " m.A1[0].setub(theta_p['A1'])\n", + " m.A2[0].setub(theta_p['A2'])\n", + " m.E1[0].setub(theta_p['E1'])\n", + " m.E2[0].setub(theta_p['E2'])\n", + " \n", + " return m" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "50ee7117", + "cell_type": "markdown", + "id": "fa728ea0", "metadata": {}, - "outputs": [], "source": [ - "print(m_kaug_dsdp.C[\"CB\",0.125]())\n", - "print(m_kaug_dsdp.C['CB',0]())" + "### DAE model " ] }, { "cell_type": "code", "execution_count": null, - "id": "b844f77d", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "50a912a8", + "id": "cac2f545", "metadata": {}, "outputs": [], "source": [ - "# Parameter name\n", - "variable_name = ['A1', 'A2','E1','E2']\n", - "# Parameter initial value\n", - "theta_v = [84.79085853498033, 371.71773413976416, 7.777032028026428, 15.047135137500822]" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "28406a87", - "metadata": {}, - "outputs": [], - "source": [ - "def create_model(CA_init=1, T_init=300):\n", + "def create_model_dae(scena, CA_init=5, T_init=300, C_init=1):\n", " '''Model for get_sensitivity, defining measurements as cosntraints\n", " '''\n", " \n", - " # time points \n", - " timepoint = [0.0, 0.125, 0.25, 0.375, 0.5,0.625, 0.75, 0.875, 1.0]\n", + " # parameters initialization, results from parameter estimation\n", + " theta_p = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}\n", + " # concentration initialization\n", + " y_init = {'CA': value(CA_init), 'CB':0.0, 'CC':0.0}\n", + " \n", + " para_list = ['A1', 'A2', 'E1', 'E2']\n", " \n", " # names of observed variables\n", " y_list = ['CA','CB','CC']\n", " \n", + " t_control = time_an\n", + " \n", + " \n", + " ### add variable \n", " m= ConcreteModel()\n", "\n", - " m.CA0 = CA_init\n", - " m.T = T_init\n", + " m.CA_init = CA_init\n", + " m.para_list = para_list\n", " \n", - " # Define ideal gas constant\n", - " m.R = 8.31446261815324 # J / K / mol\n", + " m.scena_all = scena\n", + " m.scena = Set(initialize=scena['scena-name'])\n", "\n", " ### Define sets and expressions\n", " # timepoint\n", - " m.t = Set(initialize=timepoint)\n", + " m.t = ContinuousSet(bounds=(0.0,1))\n", " \n", - " # response/observed variables\n", - " m.y = Set(initialize=y_list)\n", + " m.t_con = Set(initialize=t_control)\n", + " \n", + " m.t0 = Set(initialize=[0])\n", + " \n", + " # time-independent design variable\n", + " m.CA0 = Var(m.t0, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L\n", + " m.CA0.fix()\n", + " \n", + " m.T = Var(m.t, initialize = T_init, bounds=(300, 700), within=NonNegativeReals)\n", "\n", - " m.A1 = Var(initialize = theta_v[0])\n", - " m.A2 = Var(initialize = theta_v[1])\n", - " m.E1 = Var(initialize = theta_v[2])\n", - " m.E2 = Var(initialize = theta_v[3])\n", + " # Define ideal gas constant\n", + " m.R = 8.31446261815324 # J / K / mol\n", + "\n", + " m.A1 = Var(m.scena, initialize = theta_p['A1'])\n", + " m.A2 = Var(m.scena, initialize = theta_p['A2'])\n", + " m.E1 = Var(m.scena, initialize = theta_p['E1'])\n", + " m.E2 = Var(m.scena, initialize = theta_p['E2'])\n", " \n", " # Concentration of A, B, and C [mol/L]\n", - " m.C = Var(m.y, m.t, initialize=0.0, within=NonNegativeReals)\n", - " m.dCdt = Var(m.y, m.t, initialize=0.0, within=NonNegativeReals)\n", + " m.CA = Var(m.scena, m.t, initialize=0.0, within=NonNegativeReals)\n", + " m.CB = Var(m.scena, m.t, initialize=0.0, within=NonNegativeReals)\n", + " m.CC = Var(m.scena, m.t, initialize=0.0, within=NonNegativeReals)\n", + " \n", + " # time derivative of C\n", + " m.dCAdt = DerivativeVar(m.CA, wrt=m.t) \n", + " m.dCBdt = DerivativeVar(m.CB, wrt=m.t) \n", + " m.dCCdt = DerivativeVar(m.CC, wrt=m.t) \n", "\n", - " def k1_rule(m):\n", - " return m.A1*exp(-m.E1*1000/m.R/m.T)\n", + " def k1_rule(m,s,t):\n", + " return m.A1[s]*exp(-m.E1[s]*1000/m.R/m.T[t])\n", "\n", - " def k2_rule(m):\n", - " return m.A2 * exp(-m.E2*1000/m.R/m.T)\n", + " def k2_rule(m,s,t):\n", + " return m.A2[s] * exp(-m.E2[s]*1000/m.R/m.T[t])\n", "\n", - " m.k1 = Expression(rule = k1_rule) # 1/hr\n", - " m.k2 = Expression(rule = k2_rule)\n", + " m.kp1 = Var(m.scena, m.t, initialize = k1_rule) # 1/hr\n", + " m.kp2 = Var(m.scena, m.t, initialize = k2_rule)\n", " \n", - " def conc(m,i,t):\n", + " def cal_kp1(m,z,t):\n", + " '''\n", + " Create the perturbation parameter sets \n", + " m: model\n", + " z: scenario number\n", + " t: time\n", + " '''\n", + " # LHS: 1/h\n", + " # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K)\n", + " return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) \n", + " \n", + " def cal_kp2(m,z,t):\n", + " '''\n", + " Create the perturbation parameter sets \n", + " m: model\n", + " z: m.pert, upper or normal or lower perturbation\n", + " t: time\n", + " '''\n", + " # LHS: 1/h\n", + " # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K)\n", + " return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) \n", + " \n", + " # Calculate model response variables\n", + " def CA_conc(m,z,t):\n", " '''\n", " Calculate the model predictions\n", " Argument: \n", - " i: the model responses, CA, CB, CC\n", + " z: scenario\n", " t: timepoints\n", " '''\n", - " if i == 'CA':\n", - " return m.C['CA',t] == m.CA0*exp(-m.k1*t)\n", - " elif i == 'CB':\n", - " return m.C['CB',t] == m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", - " else:\n", - " return m.C['CC',t] == m.CA0 - m.CA0*exp(-m.k1*t) - m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", - "\n", - " m.rate = Constraint(m.y, m.t, rule=conc)\n", + " return m.dCAdt[z,t] == -m.kp1[z,t]*m.CA[z,t]\n", + " \n", + " def CB_conc(m,z,t):\n", + " '''\n", + " Calculate the model predictions\n", + " Argument: \n", + " z: scenario\n", + " t: timepoints\n", + " '''\n", + " return m.dCBdt[z,t] == m.kp1[z,t]*m.CA[z,t] - m.kp2[z,t]*m.CB[z,t]\n", + " \n", + " def CC_conc(m,z,t):\n", + " '''\n", + " Calculate the model predictions\n", + " Argument: \n", + " z: scenario\n", + " t: timepoints\n", + " '''\n", + " return m.CC[z,t] == m.CA0[0] - m.CA[z,t] - m.CB[z,t]\n", " \n", - " def gradient(m, i, t):\n", - " if i=='CA':\n", - " return m.dCdt['CA',t] == -m.k1*m.C['CA',t]\n", - " elif i=='CB':\n", - " return m.dCdt['CB',t] == m.k1*m.C['CA',t] - m.k2*m.C['CB',t]\n", - " elif i=='CC':\n", - " return m.dCdt['CC',t] == m.k2*m.C['CB',t]\n", " \n", - " #m.grad = Constraint(m.y, m.t, rule=gradient)\n", + " def T_const(m,t):\n", + " if t==0:\n", + " return Constraint.Skip\n", + " else:\n", + " return m.T[t] == m.T[0]\n", + " \n", + " \n", + " # calculating C, Jacobian, FIM\n", + " m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1)\n", + " m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2)\n", + " m.dCAdt_rule = Constraint(m.scena, m.t, rule=CA_conc)\n", + " m.dCBdt_rule = Constraint(m.scena, m.t, rule=CB_conc)\n", + " m.dCCdt_rule = Constraint(m.scena, m.t, rule=CC_conc)\n", + " #m.CA0_keep = Constraint(m.t, rule=CA0_const)\n", + " #m.T_keep = Constraint(m.t, rule=T_const)\n", + " \n", "\n", " def obj_rule(m):\n", " return 0\n", " \n", " m.Obj = Objective(rule=obj_rule, sense=maximize)\n", " \n", - " theta_dict = {'A1': theta_v[0], 'A2': theta_v[1], 'E1': theta_v[2], 'E2':theta_v[3]}\n", + " for z in m.scena:\n", + " m.CB[z,0.0].fix(0.0)\n", + " m.CC[z,0.0].fix(0.0)\n", + " \n", " for v in variable_name:\n", - " getattr(m, v).setlb(theta_dict[v])\n", - " getattr(m, v).setub(theta_dict[v])\n", + " m.A1[0].setlb(theta_p['A1'])\n", + " m.A2[0].setlb(theta_p['A2'])\n", + " m.E1[0].setlb(theta_p['E1'])\n", + " m.E2[0].setlb(theta_p['E2'])\n", + " m.A1[0].setub(theta_p['A1'])\n", + " m.A2[0].setub(theta_p['A2'])\n", + " m.E1[0].setub(theta_p['E1'])\n", + " m.E2[0].setub(theta_p['E2'])\n", " \n", " return m" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, + "id": "ed2126e2", + "metadata": {}, + "outputs": [], + "source": [ + "def discretizer(m, NFE=32):\n", + " discretizer = TransformationFactory('dae.collocation')\n", + " discretizer.apply_to(m, nfe=NFE, ncp=3, wrt=m.t)\n", + " #m = discretizer.reduce_collocation_points(m, var=m.T, ncp=1, contset=m.t)\n", + " return m " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50a912a8", + "metadata": {}, + "outputs": [], + "source": [ + "scena_version = True\n", + "dae = True\n", + "\n", + "sigma_p = np.array([[1, 0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0, 1]])\n", + "\n", + "if scena_version:\n", + " variable_name = ['A1[0]', 'A2[0]', 'E1[0]', 'E2[0]']\n", + " theta_p = {'A1[0]': 84.79085853498033, 'A2[0]': 371.71773413976416, 'E1[0]': 7.777032028026428, 'E2[0]': 15.047135137500822}\n", + " # create the model\n", + " scena_this = {'scena-name': [0], 'A1':84.79085853498033,'A2': 371.71773413976416,\n", + " 'E1':7.777032028026428, 'E2':15.047135137500822}\n", + " \n", + " if dae:\n", + " model_un = create_model_dae(scena_this, CA_init=5, T_init=300)\n", + " model_un = discretizer(model_un)\n", + " model_un.T.fix()\n", + " \n", + " else:\n", + " model_un = create_model_scena(scena_this, CA_init=5, T_init=300)\n", + " #model_un = create_model(scena_this, CA_init=5, T_init=300)\n", + " #model_un = add_comp(model_un)\n", + " \n", + "else:\n", + " variable_name = ['A1', 'A2','E1','E2']\n", + " theta_p = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}\n", + " model_un = create_model(CA_init=5, T_init=300)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, "id": "f6cc3bc2", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.2: linear_solver=ma57\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 27\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 0\n", - "\n", - "Total number of variables............................: 27\n", - " variables with only lower bounds: 27\n", - " variables with lower and upper bounds: 0\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 27\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 1.99e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -0.0000000e+00 1.99e-02 1.87e+02 -1.0 1.99e+00 - 5.21e-03 9.90e-01f 1\n", - " 2 -0.0000000e+00 1.97e-04 9.80e+00 -1.0 1.99e-02 - 1.00e+00 9.90e-01h 1\n", - " 3 -0.0000000e+00 4.24e-22 1.00e-06 -1.0 1.97e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 3\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 4.2351647362715017e-22 4.2351647362715017e-22\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 4.2351647362715017e-22 4.2351647362715017e-22\n", - "\n", - "\n", - "Number of objective function evaluations = 4\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 4\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 4\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 3\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.001\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dot_in_.in\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[0] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[0] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[1] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[1] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]Unresolved sigma values, is the mu computation successful? or is this a square problem?\n", - "Check the sigma_out file with the PRINT_VERBOSE (cmake) option set to 0\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": print_kkt=\n", - "print_kkt=\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 31\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 27\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 4\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:0\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:1\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:2\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:3\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "yes I hear you 1\n", - "W[k_aug]...\t[k_aug_asl]printing kkt matrix.\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 27, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 107\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 10\n", - "I[K_AUG]...\t[GET_HESS_ASL]Maximization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 27\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]New folder created ./GJH !...\n" - ] - } - ], + "outputs": [], "source": [ - "# create the model\n", - "model_un = create_model(CA_init=2, T_init=400)\n", + "options = 'get_dsdp'\n", + " \n", + " \n", "# get information\n", - "gradient_f, gradient_c, line_dic = get_sensitivity(model_un, variable_name)\n", - "#gradient_f, gradient_c, col,row, line_dic = get_dfds_dcds(model_un, variable_name, tee=True)" + "time1 = time.time()\n", + "\n", + "if options=='prop':\n", + " results = propagate_uncertainty(model_un,theta_p, sigma_p, variable_name)\n", + "elif options=='get_dsdp':\n", + " dsdp_re, col = get_dsdp(model_un, variable_name, theta_p, tee=True)\n", + "elif options=='get_sens':\n", + " gradient_f, gradient_c, line_dic = get_sensitivity(model_un, variable_name)\n", + "\n", + "#gradient_f, gradient_c, col,row, line_dic = get_dfds_dcds(model_un, variable_name, tee=True)\n", + "\n", + "time2 = time.time()\n", + "\n", + "total_time = time2-time1\n", + "print('Total time:', total_time)\n" + ] + }, + { + "cell_type": "markdown", + "id": "1f8897a6", + "metadata": {}, + "source": [ + "## IDAES code analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7d2b0b29", + "metadata": {}, + "outputs": [], + "source": [ + "if options=='prop':\n", + " var_idx = np.array([True,True,False,False,True])\n", + " dsdp_array = results.dsdp.toarray()\n", + " \n", + "elif options=='get_dsdp':\n", + " dsdp_array = dsdp_re.toarray().T\n", + " print(col)\n", + " print(dsdp_array)\n", + " \n", + " \n", + "timepoint = [0.125,0.25,0.375,0.5,0.625,0.75,0.875,1]\n", + "index_list = []\n", + "\n", + "print(np.shape(col))\n", + "print(np.shape(dsdp_array))\n", + "\n", + "measure_name = []\n", + "for cname in ['CA', 'CB', 'CC']:\n", + " for tim in timepoint:\n", + " gene_name = cname+'[0,'+str(tim)+']'\n", + " measure_name.append(gene_name)\n", + "\n", + "for itera in range(len(measure_name)):\n", + " no = col.index(measure_name[itera])\n", + " index_list.append(no)\n", + " \n", + "print(index_list)\n", + "\n", + "#for xx in col:\n", + "# if xx.startwith()\n", + "\n", + "dsdp_extract = []\n", + "for kk in index_list:\n", + " dsdp_extract.append(dsdp_array[kk])\n", + " \n", + "print(dsdp_extract)\n", + "\n", + "print(dsdp_array)\n", + "#print(np.shape(dsdp_array))\n", + "dd=pd.DataFrame(dsdp_array)\n", + "dd.to_csv('dsdp_test.csv')" ] }, { "cell_type": "code", - "execution_count": 13, - "id": "f32d3cc3", + "execution_count": null, + "id": "77898616", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "e5efe253", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['A1', 'A2', 'E1', 'E2', 'C[CA,0.0]', 'C[CA,0.125]', 'C[CA,0.25]', 'C[CA,0.375]', 'C[CA,0.5]', 'C[CA,0.625]', 'C[CA,0.75]', 'C[CA,0.875]', 'C[CA,1.0]', 'C[CB,0.0]', 'C[CB,0.125]', 'C[CB,0.25]', 'C[CB,0.375]', 'C[CB,0.5]', 'C[CB,0.625]', 'C[CB,0.75]', 'C[CB,0.875]', 'C[CB,1.0]', 'C[CC,0.0]', 'C[CC,0.125]', 'C[CC,0.25]', 'C[CC,0.375]', 'C[CC,0.5]', 'C[CC,0.625]', 'C[CC,0.75]', 'C[CC,0.875]', 'C[CC,1.0]']\n", - "['rate[CA,0.125]', 'rate[CA,0.25]', 'rate[CA,0.375]', 'rate[CA,0.5]', 'rate[CA,0.625]', 'rate[CA,0.75]', 'rate[CA,0.875]', 'rate[CA,1.0]', 'rate[CB,0.125]', 'rate[CB,0.25]', 'rate[CB,0.375]', 'rate[CB,0.5]', 'rate[CB,0.625]', 'rate[CB,0.75]', 'rate[CB,0.875]', 'rate[CB,1.0]', 'rate[CC,0.125]', 'rate[CC,0.25]', 'rate[CC,0.375]', 'rate[CC,0.5]', 'rate[CC,0.625]', 'rate[CC,0.75]', 'rate[CC,0.875]', 'rate[CC,1.0]', 'rate[CA,0.0]', 'rate[CB,0.0]', 'rate[CC,0.0]', 'Obj']\n", - "{'A1': 1, 'A2': 2, 'E1': 3, 'E2': 4}\n" - ] - } - ], "source": [ - "print(col)\n", - "print(row)\n", - "print(line_dic)" + "## Get sensitivity" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "760bfb2b", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n", - " [ 8.67515581e-03 0.00000000e+00 -2.21173016e-01 0.00000000e+00]\n", - " [ 6.24023430e-03 0.00000000e+00 -1.59094715e-01 0.00000000e+00]\n", - " [ 3.36655545e-03 0.00000000e+00 -8.58302996e-02 0.00000000e+00]\n", - " [ 1.61442593e-03 0.00000000e+00 -4.11597740e-02 0.00000000e+00]\n", - " [ 7.25808008e-04 0.00000000e+00 -1.85044683e-02 0.00000000e+00]\n", - " [ 3.13253995e-04 0.00000000e+00 -7.98640765e-03 0.00000000e+00]\n", - " [ 1.31442867e-04 0.00000000e+00 -3.35113467e-03 0.00000000e+00]\n", - " [ 5.40284599e-05 0.00000000e+00 -1.37745508e-03 0.00000000e+00]\n", - " [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n", - " [-6.05765966e-03 7.09551560e-04 1.54439976e-01 -7.93054556e-02]\n", - " [-1.65697463e-03 1.47349972e-03 4.22445526e-02 -1.64690733e-01]\n", - " [ 1.22347776e-03 1.74323292e-03 -3.11925539e-02 -1.94838387e-01]\n", - " [ 2.08044434e-03 1.64840390e-03 -5.30409089e-02 -1.84239497e-01]\n", - " [ 1.93406969e-03 1.38428736e-03 -4.93090886e-02 -1.54719609e-01]\n", - " [ 1.48213731e-03 1.08136876e-03 -3.77870767e-02 -1.20862876e-01]\n", - " [ 1.03350813e-03 8.05120677e-04 -2.63492799e-02 -8.99870645e-02]\n", - " [ 6.83164431e-04 5.79499167e-04 -1.74172708e-02 -6.47697052e-02]\n", - " [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n", - " [-2.61749616e-03 -7.09551560e-04 6.67330399e-02 7.93054556e-02]\n", - " [-4.58325967e-03 -1.47349972e-03 1.16850162e-01 1.64690733e-01]\n", - " [-4.59003321e-03 -1.74323292e-03 1.17022853e-01 1.94838387e-01]\n", - " [-3.69487027e-03 -1.64840390e-03 9.42006829e-02 1.84239497e-01]\n", - " [-2.65987770e-03 -1.38428736e-03 6.78135569e-02 1.54719609e-01]\n", - " [-1.79539130e-03 -1.08136876e-03 4.57734844e-02 1.20862876e-01]\n", - " [-1.16495099e-03 -8.05120677e-04 2.97004146e-02 8.99870645e-02]\n", - " [-7.37192891e-04 -5.79499167e-04 1.87947258e-02 6.47697052e-02]]\n" - ] - } - ], + "outputs": [], "source": [ - "print(gradient_c)\n", - "\n" + "print(line_dic)\n", + "print(np.shape(gradient_c))\n", + "print(gradient_c)\n" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "34de36d6", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " A1 A2 E1 E2\n", - "0 0.000000 0.000000 0.000000 0.000000\n", - "1 0.008675 0.000000 -0.221173 0.000000\n", - "2 0.006240 0.000000 -0.159095 0.000000\n", - "3 0.003367 0.000000 -0.085830 0.000000\n", - "4 0.001614 0.000000 -0.041160 0.000000\n", - "5 0.000726 0.000000 -0.018504 0.000000\n", - "6 0.000313 0.000000 -0.007986 0.000000\n", - "7 0.000131 0.000000 -0.003351 0.000000\n", - "8 0.000054 0.000000 -0.001377 0.000000\n", - "9 0.000000 0.000000 0.000000 0.000000\n", - "10 -0.006058 0.000710 0.154440 -0.079305\n", - "11 -0.001657 0.001473 0.042245 -0.164691\n", - "12 0.001223 0.001743 -0.031193 -0.194838\n", - "13 0.002080 0.001648 -0.053041 -0.184239\n", - "14 0.001934 0.001384 -0.049309 -0.154720\n", - "15 0.001482 0.001081 -0.037787 -0.120863\n", - "16 0.001034 0.000805 -0.026349 -0.089987\n", - "17 0.000683 0.000579 -0.017417 -0.064770\n", - "18 0.000000 0.000000 0.000000 0.000000\n", - "19 -0.002617 -0.000710 0.066733 0.079305\n", - "20 -0.004583 -0.001473 0.116850 0.164691\n", - "21 -0.004590 -0.001743 0.117023 0.194838\n", - "22 -0.003695 -0.001648 0.094201 0.184239\n", - "23 -0.002660 -0.001384 0.067814 0.154720\n", - "24 -0.001795 -0.001081 0.045773 0.120863\n", - "25 -0.001165 -0.000805 0.029700 0.089987\n", - "26 -0.000737 -0.000579 0.018795 0.064770\n" - ] - } - ], + "outputs": [], "source": [ "jaco_store = pd.DataFrame({'A1': gradient_c.T[0],\n", " 'A2': gradient_c.T[1],\n", From b5019961ec6336aa5577c2b3a1e68bbbe317428c Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Tue, 7 Sep 2021 16:15:38 -0400 Subject: [PATCH 22/42] enable k_aug in package for analytical models --- pyomo/contrib/doe/reactor_control_doe.ipynb | 118 +++++++++++++++++--- pyomo/contrib/doe/reactor_models.py | 17 ++- 2 files changed, 113 insertions(+), 22 deletions(-) diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index c74ec89aae2..450891d6ef7 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -17,10 +17,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "worth-origin", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", + " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", + " (deprecated in 6.1) (called from :228)\n" + ] + } + ], "source": [ "import matplotlib.pyplot as plt\n", "from pyomo.environ import *\n", @@ -32,7 +42,8 @@ "from itertools import permutations, product, combinations\n", "\n", "from fim_doe import *\n", - "from pyomo.contrib.sensitivity_toolbox.sens import sipopt" + "from pyomo.contrib.sensitivity_toolbox.sens import sipopt\n", + "from idaes.apps.uncertainty_propagation.sens import get_dsdp" ] }, { @@ -105,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "eligible-robert", "metadata": {}, "outputs": [], @@ -129,15 +140,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "d576e9c4", "metadata": {}, "outputs": [], "source": [ "# choose model from 'dynamic-DAE', 'constant-DAE', 'constant-analytical'\n", - "model_opt = 'dynamic-DAE'\n", + "#model_opt = 'dynamic-DAE'\n", "#model_opt = 'constant-DAE'\n", - "#model_opt = 'constant-analytical'\n", + "model_opt = 'constant-analytical'\n", "\n", "if (model_opt=='dynamic-DAE'):\n", " createmod = create_model_dae\n", @@ -164,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "47137cb2", "metadata": {}, "outputs": [], @@ -190,10 +201,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "written-tours", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The prior information FIM: [[0. 0. 0. 0.]\n", + " [0. 0. 0. 0.]\n", + " [0. 0. 0. 0.]\n", + " [0. 0. 0. 0.]]\n", + "Prior Det: 0.0\n", + "Eigenvalue of the prior experiments FIM: [0. 0. 0. 0.]\n", + "Eigenvalue of the prior experiments FIM: [[1. 0. 0. 0.]\n", + " [0. 1. 0. 0.]\n", + " [0. 0. 1. 0.]\n", + " [0. 0. 0. 1.]]\n" + ] + } + ], "source": [ "# empty prior\n", "prior_all = np.zeros((4,4))\n", @@ -229,34 +257,63 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "d3ee5ff9", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Design variable: {'CA0': {0: 5}, 'T': {0: 300}}\n" + ] + } + ], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", - "sensi_opt = 'sequential_finite'\n", + "#sensi_opt = 'sequential_finite'\n", "#sensi_opt = 'sequential_sipopt'\n", "#sensi_opt = 'sequential_kaug'\n", + "sensi_opt = 'direct_kaug'\n", "\n", "# Define experiments\n", "if (model_opt=='dynamic-DAE'):\n", " exp1 = generate_exp(t_control, 5, [570.21, 300, 300, 300, 300, 300, 300, 300, 300])\n", "else: \n", - " exp1 = generate_exp(t_control, 5, [500])\n", + " exp1 = generate_exp(t_control, 5, [300])\n", "\n", "print('Design variable:', exp1)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "latin-medicare", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Wrong mode. Choose from \"simultaneous_finite\", \"sequential_finite\", \"0sequential_sipopt\", \"sequential_kaug\"\n", + "===In construction===\n" + ] + }, + { + "data": { + "text/plain": [ + "\"\\nif sensi_opt == 'simultaneous_finite':\\n result.extract_FIM(doe_object.m, doe_object.design_timeset,\\n doe_object.square_result, doe_object.obj_opt)\\nelse: \\n result.calculate_FIM(doe_object.jac, doe_object.design_values)\\n\"" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -268,12 +325,37 @@ "result = doe_object.compute_FIM(exp1,mode=sensi_opt, FIM_store_name = 'dynamic.csv', \n", " scale_nominal_param_value=if_s, formula='central')\n", "\n", - "\n", + "'''\n", "if sensi_opt == 'simultaneous_finite':\n", " result.extract_FIM(doe_object.m, doe_object.design_timeset,\n", " doe_object.square_result, doe_object.obj_opt)\n", "else: \n", - " result.calculate_FIM(doe_object.jac, doe_object.design_values)" + " result.calculate_FIM(doe_object.jac, doe_object.design_values)\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "e0dace51", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 0. 0. 0. 0. ]\n", + " [ 0. 0. 0. 0. ]\n", + " [ 0. 0. 0. 0. ]\n", + " ...\n", + " [ 0.00770195 0.0043245 -0.26181485 -0.6444562 ]\n", + " [ 0.04425118 0. -1.50424463 0. ]\n", + " [ 0. 0.00239945 0. -0.35757738]]\n" + ] + } + ], + "source": [ + "print(result)" ] }, { diff --git a/pyomo/contrib/doe/reactor_models.py b/pyomo/contrib/doe/reactor_models.py index e44f5efd971..0d7e284a23e 100644 --- a/pyomo/contrib/doe/reactor_models.py +++ b/pyomo/contrib/doe/reactor_models.py @@ -458,10 +458,15 @@ def create_model_alge(scena, CA_init=5, T_init=300, C_init=1): m.R = 8.31446261815324 # J / K / mole # Define parameters - m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) - m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) - m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) - m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + m.A1 = Var(m.scena, initialize = m.scena_all['A1']) + m.A2 = Var(m.scena, initialize = m.scena_all['A2']) + m.E1 = Var(m.scena, initialize = m.scena_all['E1']) + m.E2 = Var(m.scena, initialize = m.scena_all['E2']) # Concentration variables under perturbation m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) @@ -541,6 +546,10 @@ def T_const(m,t): else: return m.T[t] == m.T[0] + def obj_rule(m): + return 0 + + m.Obj = Objective(rule=obj_rule, sense=maximize) # calculating C, Jacobian, FIM m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) From f5d82dc7929f3bac574385bcd68465d9b65ccd90 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Tue, 7 Sep 2021 19:49:51 -0400 Subject: [PATCH 23/42] update the kaug dsdp extraction sentences --- pyomo/contrib/doe/fim_doe.py | 83 ++++++++++++++++++- pyomo/contrib/doe/reactor_control_doe.ipynb | 17 ++-- .../doe/reactor_kinetics_kaug_case.ipynb | 74 ++++++----------- 3 files changed, 116 insertions(+), 58 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index 9a93083e114..48681826c9e 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -8,6 +8,7 @@ from itertools import permutations, product from sens import get_dsdp from pyomo.contrib.sensitivity_toolbox.sens import sipopt, sensitivity_calculation +from idaes.apps.uncertainty_propagation.sens import get_dsdp class DesignOfExperiments: @@ -92,7 +93,7 @@ def __check_inputs(self, check_mode=False): print('Sensitivity information is scaled by constant ', self.scale_constant_value, ' times itself.') if check_mode: - if self.mode not in ['simultaneous_finite', 'sequential_finite', 'sequential_sipopt', 'sequential_kaug']: + if self.mode not in ['simultaneous_finite', 'sequential_finite', 'sequential_sipopt', 'sequential_kaug', 'direct_kaug']: print('Wrong mode. Choose from "simultaneous_finite", "sequential_finite", "0sequential_sipopt", "sequential_kaug"') @@ -401,6 +402,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # store jacobian info jac={} + # time building time and solving time store list time_allbuild = [] time_allsolve = [] # loop over parameters @@ -520,6 +522,85 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No elif self.mode =='direct_kaug': print('===In construction===') + # create scenario class for a base case + scena_gen = Scenario_generator(self.param_init, formula=None, step=self.step) + scenario_all = scena_gen.simultaneous_scenario() + + # create model + time0_build = time.time() + mod = self.create_model(scenario_all) + time1_build = time.time() + time_build = time1_build - time0_build + + # discretize if needed + if self.discretize_model is not None: + mod = self.discretize_model(mod) + + # get all time + t_all = [] + for t in mod.t: + t_all.append(t) + + measurement_accurate_time = [] + # check if measurement time points are in this time set + for tt in self.measurement_timeset: + if tt not in t_all: + print('A measurement time point not measured by this model: ', tt) + # For e.g. if a measurement time point is 0.0 in the model but is given as 0, it is corrected here. + measurement_accurate_time.append(t_all[t_all.index(tt)]) + + # fix model DOF + mod = self.__fix_design(mod, self.design_values, fix_opt=True) + + # set ub and lb to parameters + for par in self.param_name: + component = eval('mod.'+par+'[0]') + component.setlb(self.param_init[par]) + component.setub(self.param_init[par]) + + # generate parameter name list and value dictionary with index + var_name = [] + var_dict = {} + + for name in self.param_name: + var_name.append(name+'[0]') + var_dict[name+'[0]'] = self.param_init[name] + + time0_solve = time.time() + dsdp_re, col = get_dsdp(mod, var_name, var_dict, tee=self.tee_opt) + time1_solve = time.time() + time_solve = time1_solve - time0_solve + print(col) + + # analyze result + dsdp_array = dsdp_re.toarray().T + # here for construction. Remove after finishing. + dd = pd.DataFrame(dsdp_array) + dd.to_csv('dsdp_test.csv') + # store dsdp returned + dsdp_extract = [] + # get right lines from results + measurement_index = [] + measurement_names = [] + for mname in self.measurement_variables: + for tim in measurement_accurate_time: + measure_name = mname+'[0,'+str(tim)+']' + measurement_names.append(measure_name) + # get right line number in kaug results + kaug_no = col.index(measure_name) + measurement_index.append(kaug_no) + # get right line of dsdp + dsdp_extract.append(dsdp_array[kaug_no]) + + if self.verbose: + print('Build time with direct kaug mode [s]:', time_build) + print('Solve time with direct kaug mode [s]:', time_solve) + + #FIM_analysis.build_time = time_build + #FIM_analysis.solve_time = time_solve + + return dsdp_extract + else: raise ValueError('This is not a valid mode. Choose from "sequential_finite", "simultaneous_finite", "sequential_sipopt", "sequential_kaug"') diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 450891d6ef7..f7f3cc1c84e 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -299,8 +299,11 @@ "output_type": "stream", "text": [ "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Wrong mode. Choose from \"simultaneous_finite\", \"sequential_finite\", \"0sequential_sipopt\", \"sequential_kaug\"\n", - "===In construction===\n" + "===In construction===\n", + "[0.0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1.0]\n", + "['T[0.010416666666666666]', 'T[0.020833333333333332]', 'T[0.03125]', 'T[0.041666666666666664]', 'T[0.05208333333333333]', 'T[0.0625]', 'T[0.07291666666666666]', 'T[0.08333333333333333]', 'T[0.09375]', 'T[0.10416666666666666]', 'T[0.11458333333333333]', 'T[0.125]', 'T[0.13541666666666666]', 'T[0.14583333333333331]', 'T[0.15625]', 'T[0.16666666666666666]', 'T[0.17708333333333331]', 'T[0.1875]', 'T[0.19791666666666666]', 'T[0.20833333333333331]', 'T[0.21875]', 'T[0.22916666666666666]', 'T[0.23958333333333331]', 'T[0.25]', 'T[0.26041666666666663]', 'T[0.2708333333333333]', 'T[0.28125]', 'T[0.29166666666666663]', 'T[0.3020833333333333]', 'T[0.3125]', 'T[0.32291666666666663]', 'T[0.3333333333333333]', 'T[0.34375]', 'T[0.35416666666666663]', 'T[0.3645833333333333]', 'T[0.375]', 'T[0.38541666666666663]', 'T[0.3958333333333333]', 'T[0.40625]', 'T[0.41666666666666663]', 'T[0.4270833333333333]', 'T[0.4375]', 'T[0.44791666666666663]', 'T[0.4583333333333333]', 'T[0.46875]', 'T[0.47916666666666663]', 'T[0.4895833333333333]', 'T[0.5]', 'T[0.5104166666666666]', 'T[0.5208333333333333]', 'T[0.53125]', 'T[0.5416666666666666]', 'T[0.5520833333333333]', 'T[0.5625]', 'T[0.5729166666666666]', 'T[0.5833333333333333]', 'T[0.59375]', 'T[0.6041666666666666]', 'T[0.6145833333333333]', 'T[0.625]', 'T[0.6354166666666666]', 'T[0.6458333333333333]', 'T[0.65625]', 'T[0.6666666666666666]', 'T[0.6770833333333333]', 'T[0.6875]', 'T[0.6979166666666666]', 'T[0.7083333333333333]', 'T[0.71875]', 'T[0.7291666666666666]', 'T[0.7395833333333333]', 'T[0.75]', 'T[0.7604166666666666]', 'T[0.7708333333333333]', 'T[0.78125]', 'T[0.7916666666666666]', 'T[0.8020833333333333]', 'T[0.8125]', 'T[0.8229166666666666]', 'T[0.8333333333333333]', 'T[0.84375]', 'T[0.8541666666666666]', 'T[0.8645833333333333]', 'T[0.875]', 'T[0.8854166666666666]', 'T[0.8958333333333333]', 'T[0.90625]', 'T[0.9166666666666666]', 'T[0.9270833333333333]', 'T[0.9375]', 'T[0.9479166666666666]', 'T[0.9583333333333333]', 'T[0.96875]', 'T[0.9791666666666666]', 'T[0.9895833333333333]', 'T[1.0]', 'A1[0]', 'A2[0]', 'E1[0]', 'E2[0]', 'kp1[0,0.010416666666666666]', 'kp1[0,0.020833333333333332]', 'kp1[0,0.03125]', 'kp1[0,0.041666666666666664]', 'kp1[0,0.05208333333333333]', 'kp1[0,0.0625]', 'kp1[0,0.07291666666666666]', 'kp1[0,0.08333333333333333]', 'kp1[0,0.09375]', 'kp1[0,0.10416666666666666]', 'kp1[0,0.11458333333333333]', 'kp1[0,0.125]', 'kp1[0,0.13541666666666666]', 'kp1[0,0.14583333333333331]', 'kp1[0,0.15625]', 'kp1[0,0.16666666666666666]', 'kp1[0,0.17708333333333331]', 'kp1[0,0.1875]', 'kp1[0,0.19791666666666666]', 'kp1[0,0.20833333333333331]', 'kp1[0,0.21875]', 'kp1[0,0.22916666666666666]', 'kp1[0,0.23958333333333331]', 'kp1[0,0.25]', 'kp1[0,0.26041666666666663]', 'kp1[0,0.2708333333333333]', 'kp1[0,0.28125]', 'kp1[0,0.29166666666666663]', 'kp1[0,0.3020833333333333]', 'kp1[0,0.3125]', 'kp1[0,0.32291666666666663]', 'kp1[0,0.3333333333333333]', 'kp1[0,0.34375]', 'kp1[0,0.35416666666666663]', 'kp1[0,0.3645833333333333]', 'kp1[0,0.375]', 'kp1[0,0.38541666666666663]', 'kp1[0,0.3958333333333333]', 'kp1[0,0.40625]', 'kp1[0,0.41666666666666663]', 'kp1[0,0.4270833333333333]', 'kp1[0,0.4375]', 'kp1[0,0.44791666666666663]', 'kp1[0,0.4583333333333333]', 'kp1[0,0.46875]', 'kp1[0,0.47916666666666663]', 'kp1[0,0.4895833333333333]', 'kp1[0,0.5]', 'kp1[0,0.5104166666666666]', 'kp1[0,0.5208333333333333]', 'kp1[0,0.53125]', 'kp1[0,0.5416666666666666]', 'kp1[0,0.5520833333333333]', 'kp1[0,0.5625]', 'kp1[0,0.5729166666666666]', 'kp1[0,0.5833333333333333]', 'kp1[0,0.59375]', 'kp1[0,0.6041666666666666]', 'kp1[0,0.6145833333333333]', 'kp1[0,0.625]', 'kp1[0,0.6354166666666666]', 'kp1[0,0.6458333333333333]', 'kp1[0,0.65625]', 'kp1[0,0.6666666666666666]', 'kp1[0,0.6770833333333333]', 'kp1[0,0.6875]', 'kp1[0,0.6979166666666666]', 'kp1[0,0.7083333333333333]', 'kp1[0,0.71875]', 'kp1[0,0.7291666666666666]', 'kp1[0,0.7395833333333333]', 'kp1[0,0.75]', 'kp1[0,0.7604166666666666]', 'kp1[0,0.7708333333333333]', 'kp1[0,0.78125]', 'kp1[0,0.7916666666666666]', 'kp1[0,0.8020833333333333]', 'kp1[0,0.8125]', 'kp1[0,0.8229166666666666]', 'kp1[0,0.8333333333333333]', 'kp1[0,0.84375]', 'kp1[0,0.8541666666666666]', 'kp1[0,0.8645833333333333]', 'kp1[0,0.875]', 'kp1[0,0.8854166666666666]', 'kp1[0,0.8958333333333333]', 'kp1[0,0.90625]', 'kp1[0,0.9166666666666666]', 'kp1[0,0.9270833333333333]', 'kp1[0,0.9375]', 'kp1[0,0.9479166666666666]', 'kp1[0,0.9583333333333333]', 'kp1[0,0.96875]', 'kp1[0,0.9791666666666666]', 'kp1[0,0.9895833333333333]', 'kp1[0,1.0]', 'kp2[0,0.010416666666666666]', 'kp2[0,0.020833333333333332]', 'kp2[0,0.03125]', 'kp2[0,0.041666666666666664]', 'kp2[0,0.05208333333333333]', 'kp2[0,0.0625]', 'kp2[0,0.07291666666666666]', 'kp2[0,0.08333333333333333]', 'kp2[0,0.09375]', 'kp2[0,0.10416666666666666]', 'kp2[0,0.11458333333333333]', 'kp2[0,0.125]', 'kp2[0,0.13541666666666666]', 'kp2[0,0.14583333333333331]', 'kp2[0,0.15625]', 'kp2[0,0.16666666666666666]', 'kp2[0,0.17708333333333331]', 'kp2[0,0.1875]', 'kp2[0,0.19791666666666666]', 'kp2[0,0.20833333333333331]', 'kp2[0,0.21875]', 'kp2[0,0.22916666666666666]', 'kp2[0,0.23958333333333331]', 'kp2[0,0.25]', 'kp2[0,0.26041666666666663]', 'kp2[0,0.2708333333333333]', 'kp2[0,0.28125]', 'kp2[0,0.29166666666666663]', 'kp2[0,0.3020833333333333]', 'kp2[0,0.3125]', 'kp2[0,0.32291666666666663]', 'kp2[0,0.3333333333333333]', 'kp2[0,0.34375]', 'kp2[0,0.35416666666666663]', 'kp2[0,0.3645833333333333]', 'kp2[0,0.375]', 'kp2[0,0.38541666666666663]', 'kp2[0,0.3958333333333333]', 'kp2[0,0.40625]', 'kp2[0,0.41666666666666663]', 'kp2[0,0.4270833333333333]', 'kp2[0,0.4375]', 'kp2[0,0.44791666666666663]', 'kp2[0,0.4583333333333333]', 'kp2[0,0.46875]', 'kp2[0,0.47916666666666663]', 'kp2[0,0.4895833333333333]', 'kp2[0,0.5]', 'kp2[0,0.5104166666666666]', 'kp2[0,0.5208333333333333]', 'kp2[0,0.53125]', 'kp2[0,0.5416666666666666]', 'kp2[0,0.5520833333333333]', 'kp2[0,0.5625]', 'kp2[0,0.5729166666666666]', 'kp2[0,0.5833333333333333]', 'kp2[0,0.59375]', 'kp2[0,0.6041666666666666]', 'kp2[0,0.6145833333333333]', 'kp2[0,0.625]', 'kp2[0,0.6354166666666666]', 'kp2[0,0.6458333333333333]', 'kp2[0,0.65625]', 'kp2[0,0.6666666666666666]', 'kp2[0,0.6770833333333333]', 'kp2[0,0.6875]', 'kp2[0,0.6979166666666666]', 'kp2[0,0.7083333333333333]', 'kp2[0,0.71875]', 'kp2[0,0.7291666666666666]', 'kp2[0,0.7395833333333333]', 'kp2[0,0.75]', 'kp2[0,0.7604166666666666]', 'kp2[0,0.7708333333333333]', 'kp2[0,0.78125]', 'kp2[0,0.7916666666666666]', 'kp2[0,0.8020833333333333]', 'kp2[0,0.8125]', 'kp2[0,0.8229166666666666]', 'kp2[0,0.8333333333333333]', 'kp2[0,0.84375]', 'kp2[0,0.8541666666666666]', 'kp2[0,0.8645833333333333]', 'kp2[0,0.875]', 'kp2[0,0.8854166666666666]', 'kp2[0,0.8958333333333333]', 'kp2[0,0.90625]', 'kp2[0,0.9166666666666666]', 'kp2[0,0.9270833333333333]', 'kp2[0,0.9375]', 'kp2[0,0.9479166666666666]', 'kp2[0,0.9583333333333333]', 'kp2[0,0.96875]', 'kp2[0,0.9791666666666666]', 'kp2[0,0.9895833333333333]', 'kp2[0,1.0]', 'CA[0,0.0]', 'CA[0,0.010416666666666666]', 'CA[0,0.020833333333333332]', 'CA[0,0.03125]', 'CA[0,0.041666666666666664]', 'CA[0,0.05208333333333333]', 'CA[0,0.0625]', 'CA[0,0.07291666666666666]', 'CA[0,0.08333333333333333]', 'CA[0,0.09375]', 'CA[0,0.10416666666666666]', 'CA[0,0.11458333333333333]', 'CA[0,0.125]', 'CA[0,0.13541666666666666]', 'CA[0,0.14583333333333331]', 'CA[0,0.15625]', 'CA[0,0.16666666666666666]', 'CA[0,0.17708333333333331]', 'CA[0,0.1875]', 'CA[0,0.19791666666666666]', 'CA[0,0.20833333333333331]', 'CA[0,0.21875]', 'CA[0,0.22916666666666666]', 'CA[0,0.23958333333333331]', 'CA[0,0.25]', 'CA[0,0.26041666666666663]', 'CA[0,0.2708333333333333]', 'CA[0,0.28125]', 'CA[0,0.29166666666666663]', 'CA[0,0.3020833333333333]', 'CA[0,0.3125]', 'CA[0,0.32291666666666663]', 'CA[0,0.3333333333333333]', 'CA[0,0.34375]', 'CA[0,0.35416666666666663]', 'CA[0,0.3645833333333333]', 'CA[0,0.375]', 'CA[0,0.38541666666666663]', 'CA[0,0.3958333333333333]', 'CA[0,0.40625]', 'CA[0,0.41666666666666663]', 'CA[0,0.4270833333333333]', 'CA[0,0.4375]', 'CA[0,0.44791666666666663]', 'CA[0,0.4583333333333333]', 'CA[0,0.46875]', 'CA[0,0.47916666666666663]', 'CA[0,0.4895833333333333]', 'CA[0,0.5]', 'CA[0,0.5104166666666666]', 'CA[0,0.5208333333333333]', 'CA[0,0.53125]', 'CA[0,0.5416666666666666]', 'CA[0,0.5520833333333333]', 'CA[0,0.5625]', 'CA[0,0.5729166666666666]', 'CA[0,0.5833333333333333]', 'CA[0,0.59375]', 'CA[0,0.6041666666666666]', 'CA[0,0.6145833333333333]', 'CA[0,0.625]', 'CA[0,0.6354166666666666]', 'CA[0,0.6458333333333333]', 'CA[0,0.65625]', 'CA[0,0.6666666666666666]', 'CA[0,0.6770833333333333]', 'CA[0,0.6875]', 'CA[0,0.6979166666666666]', 'CA[0,0.7083333333333333]', 'CA[0,0.71875]', 'CA[0,0.7291666666666666]', 'CA[0,0.7395833333333333]', 'CA[0,0.75]', 'CA[0,0.7604166666666666]', 'CA[0,0.7708333333333333]', 'CA[0,0.78125]', 'CA[0,0.7916666666666666]', 'CA[0,0.8020833333333333]', 'CA[0,0.8125]', 'CA[0,0.8229166666666666]', 'CA[0,0.8333333333333333]', 'CA[0,0.84375]', 'CA[0,0.8541666666666666]', 'CA[0,0.8645833333333333]', 'CA[0,0.875]', 'CA[0,0.8854166666666666]', 'CA[0,0.8958333333333333]', 'CA[0,0.90625]', 'CA[0,0.9166666666666666]', 'CA[0,0.9270833333333333]', 'CA[0,0.9375]', 'CA[0,0.9479166666666666]', 'CA[0,0.9583333333333333]', 'CA[0,0.96875]', 'CA[0,0.9791666666666666]', 'CA[0,0.9895833333333333]', 'CA[0,1.0]', 'CB[0,0.0]', 'CB[0,0.010416666666666666]', 'CB[0,0.020833333333333332]', 'CB[0,0.03125]', 'CB[0,0.041666666666666664]', 'CB[0,0.05208333333333333]', 'CB[0,0.0625]', 'CB[0,0.07291666666666666]', 'CB[0,0.08333333333333333]', 'CB[0,0.09375]', 'CB[0,0.10416666666666666]', 'CB[0,0.11458333333333333]', 'CB[0,0.125]', 'CB[0,0.13541666666666666]', 'CB[0,0.14583333333333331]', 'CB[0,0.15625]', 'CB[0,0.16666666666666666]', 'CB[0,0.17708333333333331]', 'CB[0,0.1875]', 'CB[0,0.19791666666666666]', 'CB[0,0.20833333333333331]', 'CB[0,0.21875]', 'CB[0,0.22916666666666666]', 'CB[0,0.23958333333333331]', 'CB[0,0.25]', 'CB[0,0.26041666666666663]', 'CB[0,0.2708333333333333]', 'CB[0,0.28125]', 'CB[0,0.29166666666666663]', 'CB[0,0.3020833333333333]', 'CB[0,0.3125]', 'CB[0,0.32291666666666663]', 'CB[0,0.3333333333333333]', 'CB[0,0.34375]', 'CB[0,0.35416666666666663]', 'CB[0,0.3645833333333333]', 'CB[0,0.375]', 'CB[0,0.38541666666666663]', 'CB[0,0.3958333333333333]', 'CB[0,0.40625]', 'CB[0,0.41666666666666663]', 'CB[0,0.4270833333333333]', 'CB[0,0.4375]', 'CB[0,0.44791666666666663]', 'CB[0,0.4583333333333333]', 'CB[0,0.46875]', 'CB[0,0.47916666666666663]', 'CB[0,0.4895833333333333]', 'CB[0,0.5]', 'CB[0,0.5104166666666666]', 'CB[0,0.5208333333333333]', 'CB[0,0.53125]', 'CB[0,0.5416666666666666]', 'CB[0,0.5520833333333333]', 'CB[0,0.5625]', 'CB[0,0.5729166666666666]', 'CB[0,0.5833333333333333]', 'CB[0,0.59375]', 'CB[0,0.6041666666666666]', 'CB[0,0.6145833333333333]', 'CB[0,0.625]', 'CB[0,0.6354166666666666]', 'CB[0,0.6458333333333333]', 'CB[0,0.65625]', 'CB[0,0.6666666666666666]', 'CB[0,0.6770833333333333]', 'CB[0,0.6875]', 'CB[0,0.6979166666666666]', 'CB[0,0.7083333333333333]', 'CB[0,0.71875]', 'CB[0,0.7291666666666666]', 'CB[0,0.7395833333333333]', 'CB[0,0.75]', 'CB[0,0.7604166666666666]', 'CB[0,0.7708333333333333]', 'CB[0,0.78125]', 'CB[0,0.7916666666666666]', 'CB[0,0.8020833333333333]', 'CB[0,0.8125]', 'CB[0,0.8229166666666666]', 'CB[0,0.8333333333333333]', 'CB[0,0.84375]', 'CB[0,0.8541666666666666]', 'CB[0,0.8645833333333333]', 'CB[0,0.875]', 'CB[0,0.8854166666666666]', 'CB[0,0.8958333333333333]', 'CB[0,0.90625]', 'CB[0,0.9166666666666666]', 'CB[0,0.9270833333333333]', 'CB[0,0.9375]', 'CB[0,0.9479166666666666]', 'CB[0,0.9583333333333333]', 'CB[0,0.96875]', 'CB[0,0.9791666666666666]', 'CB[0,0.9895833333333333]', 'CB[0,1.0]', 'CC[0,0.0]', 'CC[0,0.010416666666666666]', 'CC[0,0.020833333333333332]', 'CC[0,0.03125]', 'CC[0,0.041666666666666664]', 'CC[0,0.05208333333333333]', 'CC[0,0.0625]', 'CC[0,0.07291666666666666]', 'CC[0,0.08333333333333333]', 'CC[0,0.09375]', 'CC[0,0.10416666666666666]', 'CC[0,0.11458333333333333]', 'CC[0,0.125]', 'CC[0,0.13541666666666666]', 'CC[0,0.14583333333333331]', 'CC[0,0.15625]', 'CC[0,0.16666666666666666]', 'CC[0,0.17708333333333331]', 'CC[0,0.1875]', 'CC[0,0.19791666666666666]', 'CC[0,0.20833333333333331]', 'CC[0,0.21875]', 'CC[0,0.22916666666666666]', 'CC[0,0.23958333333333331]', 'CC[0,0.25]', 'CC[0,0.26041666666666663]', 'CC[0,0.2708333333333333]', 'CC[0,0.28125]', 'CC[0,0.29166666666666663]', 'CC[0,0.3020833333333333]', 'CC[0,0.3125]', 'CC[0,0.32291666666666663]', 'CC[0,0.3333333333333333]', 'CC[0,0.34375]', 'CC[0,0.35416666666666663]', 'CC[0,0.3645833333333333]', 'CC[0,0.375]', 'CC[0,0.38541666666666663]', 'CC[0,0.3958333333333333]', 'CC[0,0.40625]', 'CC[0,0.41666666666666663]', 'CC[0,0.4270833333333333]', 'CC[0,0.4375]', 'CC[0,0.44791666666666663]', 'CC[0,0.4583333333333333]', 'CC[0,0.46875]', 'CC[0,0.47916666666666663]', 'CC[0,0.4895833333333333]', 'CC[0,0.5]', 'CC[0,0.5104166666666666]', 'CC[0,0.5208333333333333]', 'CC[0,0.53125]', 'CC[0,0.5416666666666666]', 'CC[0,0.5520833333333333]', 'CC[0,0.5625]', 'CC[0,0.5729166666666666]', 'CC[0,0.5833333333333333]', 'CC[0,0.59375]', 'CC[0,0.6041666666666666]', 'CC[0,0.6145833333333333]', 'CC[0,0.625]', 'CC[0,0.6354166666666666]', 'CC[0,0.6458333333333333]', 'CC[0,0.65625]', 'CC[0,0.6666666666666666]', 'CC[0,0.6770833333333333]', 'CC[0,0.6875]', 'CC[0,0.6979166666666666]', 'CC[0,0.7083333333333333]', 'CC[0,0.71875]', 'CC[0,0.7291666666666666]', 'CC[0,0.7395833333333333]', 'CC[0,0.75]', 'CC[0,0.7604166666666666]', 'CC[0,0.7708333333333333]', 'CC[0,0.78125]', 'CC[0,0.7916666666666666]', 'CC[0,0.8020833333333333]', 'CC[0,0.8125]', 'CC[0,0.8229166666666666]', 'CC[0,0.8333333333333333]', 'CC[0,0.84375]', 'CC[0,0.8541666666666666]', 'CC[0,0.8645833333333333]', 'CC[0,0.875]', 'CC[0,0.8854166666666666]', 'CC[0,0.8958333333333333]', 'CC[0,0.90625]', 'CC[0,0.9166666666666666]', 'CC[0,0.9270833333333333]', 'CC[0,0.9375]', 'CC[0,0.9479166666666666]', 'CC[0,0.9583333333333333]', 'CC[0,0.96875]', 'CC[0,0.9791666666666666]', 'CC[0,0.9895833333333333]', 'CC[0,1.0]', 'kp1[0,0.0]', 'kp2[0,0.0]']\n", + "Build time with direct kaug mode [s]: 0.021114110946655273\n", + "Solve time with direct kaug mode [s]: 0.5185098648071289\n" ] }, { @@ -337,20 +340,14 @@ { "cell_type": "code", "execution_count": 8, - "id": "e0dace51", + "id": "45846b75", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[[ 0. 0. 0. 0. ]\n", - " [ 0. 0. 0. 0. ]\n", - " [ 0. 0. 0. 0. ]\n", - " ...\n", - " [ 0.00770195 0.0043245 -0.26181485 -0.6444562 ]\n", - " [ 0.04425118 0. -1.50424463 0. ]\n", - " [ 0. 0.00239945 0. -0.35757738]]\n" + "[array([0., 0., 0., 0.]), array([-0.01730277, 0. , 0.58817855, 0. ]), array([-0.02164992, 0. , 0.73595264, 0. ]), array([-0.02031694, 0. , 0.69064014, 0. ]), array([-0.01694758, 0. , 0.57610447, 0. ]), array([-0.01325343, 0. , 0.45052817, 0. ]), array([-0.00994994, 0. , 0.33823137, 0. ]), array([-0.00726236, 0. , 0.24687173, 0. ]), array([-0.00519255, 0. , 0.17651191, 0. ]), array([0., 0., 0., 0.]), array([ 1.62122230e-02, -2.80212223e-04, -5.51107296e-01, 4.17585026e-02]), array([ 0.01854136, -0.00089912, -0.63028239, 0.1339912 ]), array([ 0.01529419, -0.00163321, -0.51990034, 0.24338812]), array([ 0.01048416, -0.0023581 , -0.35639143, 0.35141531]), array([ 0.00588382, -0.00300928, -0.20001056, 0.44845695]), array([ 0.00214202, -0.00355776, -0.0728145 , 0.53019374]), array([-0.00062149, -0.00399515, 0.02112653, 0.59537472]), array([-0.0025094 , -0.0043245 , 0.08530294, 0.6444562 ]), array([0., 0., 0., 0.]), array([ 0.00109055, 0.00028021, -0.03707125, -0.0417585 ]), array([ 0.00310856, 0.00089912, -0.10567024, -0.1339912 ]), array([ 0.00502275, 0.00163321, -0.1707398 , -0.24338812]), array([ 0.00646342, 0.0023581 , -0.21971304, -0.35141531]), array([ 0.00736961, 0.00300928, -0.25051761, -0.44845695]), array([ 0.00780791, 0.00355776, -0.26541687, -0.53019374]), array([ 0.00788385, 0.00399515, -0.26799827, -0.59537472]), array([ 0.00770195, 0.0043245 , -0.26181485, -0.6444562 ])]\n" ] } ], diff --git a/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb index 9e23f5093cd..a110d281cd2 100644 --- a/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb +++ b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb @@ -2,27 +2,16 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "41a5ca6d", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", - " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", - " (deprecated in 6.1) (called from :228)\n" - ] - } - ], + "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from pyomo.environ import *\n", "from pyomo.dae import *\n", "import pandas as pd\n", - "from get_sensitivity import *\n", "#from sens import get_dsdp\n", "#from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp, get_dfds_dcds\n", "#from idaes.apps.uncertainty_propagation.uncertainties import propagate_uncertainty\n", @@ -32,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "58c72305", "metadata": {}, "outputs": [], @@ -50,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "28406a87", "metadata": {}, "outputs": [], @@ -140,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "dffa0be3", "metadata": {}, "outputs": [], @@ -193,15 +182,15 @@ " m.R = 8.31446261815324 # J / K / mole\n", " \n", " # Define parameters\n", - " #m.A1 = Param(m.scena, initialize=m.scena_all['A1'],mutable=True)\n", - " #m.A2 = Param(m.scena, initialize=m.scena_all['A2'],mutable=True)\n", - " #m.E1 = Param(m.scena, initialize=m.scena_all['E1'],mutable=True)\n", - " #m.E2 = Param(m.scena, initialize=m.scena_all['E2'],mutable=True)\n", + " m.A1 = Param(m.scena, initialize=m.scena_all['A1'],mutable=True)\n", + " m.A2 = Param(m.scena, initialize=m.scena_all['A2'],mutable=True)\n", + " m.E1 = Param(m.scena, initialize=m.scena_all['E1'],mutable=True)\n", + " m.E2 = Param(m.scena, initialize=m.scena_all['E2'],mutable=True)\n", " \n", - " m.A1 = Var(m.scena, initialize = m.scena_all['A1'])\n", - " m.A2 = Var(m.scena, initialize = m.scena_all['A2'])\n", - " m.E1 = Var(m.scena, initialize = m.scena_all['E1'])\n", - " m.E2 = Var(m.scena, initialize = m.scena_all['E2'])\n", + " #m.A1 = Var(m.scena, initialize = m.scena_all['A1'])\n", + " #m.A2 = Var(m.scena, initialize = m.scena_all['A2'])\n", + " #m.E1 = Var(m.scena, initialize = m.scena_all['E1'])\n", + " #m.E2 = Var(m.scena, initialize = m.scena_all['E2'])\n", " \n", " # Concentration variables under perturbation\n", " m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals)\n", @@ -297,20 +286,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "471c51b8", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "A1\n", - "A1\n", - "371.71773413976416\n" - ] - } - ], + "outputs": [], "source": [ "from pyomo.environ import (\n", " Param, Var, Block, ComponentMap, Objective, Constraint,\n", @@ -328,17 +307,18 @@ " comp = m.find_component('A1')\n", " print(comp)\n", "\n", - " #m.del_component('A1')\n", - " #m.del_component('A2')\n", - " #m.del_component('E1')\n", - " #m.del_component('E2')\n", + " m.del_component('A1')\n", + " m.del_component('A2')\n", + " m.del_component('E1')\n", + " m.del_component('E2')\n", "\n", " m.CA0.fix()\n", " m.T.fix()\n", - " #m.A1 = Var(m.scena, initialize=m.scena_all['A1'])\n", + " #comp2 = m.find_component('A1')\n", + " #print(comp2)\n", "\n", " for item in para_name:\n", - " #setattr(m, item, Var(m.scena, initialize=m.scena_all[item]))\n", + " setattr(m, item, Var(m.scena, initialize=m.scena_all[item]))\n", " compe = eval('m.' + item + '[0]')\n", " compe.setlb(m.scena_all[item])\n", " compe.setub(m.scena_all[item])\n", @@ -361,7 +341,7 @@ " return m \n", "\n", "mod = add_comp(mod)\n", - "print(value(mod.A2[0]))" + "print(value(mod.A1[0]))" ] }, { @@ -719,7 +699,7 @@ "outputs": [], "source": [ "scena_version = True\n", - "dae = True\n", + "dae = False\n", "\n", "sigma_p = np.array([[1, 0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0, 1]])\n", "\n", @@ -736,9 +716,9 @@ " model_un.T.fix()\n", " \n", " else:\n", - " model_un = create_model_scena(scena_this, CA_init=5, T_init=300)\n", - " #model_un = create_model(scena_this, CA_init=5, T_init=300)\n", - " #model_un = add_comp(model_un)\n", + " #model_un = create_model_scena(scena_this, CA_init=5, T_init=300)\n", + " model_un = create_model(scena_this, CA_init=5, T_init=300)\n", + " model_un = add_comp(model_un)\n", " \n", "else:\n", " variable_name = ['A1', 'A2','E1','E2']\n", From 63ff2ec854e126be876420f565b80991d7e18cb7 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Wed, 8 Sep 2021 16:11:50 -0400 Subject: [PATCH 24/42] debugged for analytical problems. going to generate heatmaps to compare and see computational time. --- pyomo/contrib/doe/fim_doe.py | 32 +++- pyomo/contrib/doe/reactor_control_doe.ipynb | 75 ++++++--- .../doe/reactor_kinetics_kaug_case.ipynb | 145 +++++++++++------- 3 files changed, 167 insertions(+), 85 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index 48681826c9e..a04c272fe7b 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -570,7 +570,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No dsdp_re, col = get_dsdp(mod, var_name, var_dict, tee=self.tee_opt) time1_solve = time.time() time_solve = time1_solve - time0_solve - print(col) + #print(col) # analyze result dsdp_array = dsdp_re.toarray().T @@ -592,14 +592,38 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # get right line of dsdp dsdp_extract.append(dsdp_array[kaug_no]) + # Convert sensitivity if scaled by constants or parameters. + # Convert sensitivity to a dictionary + jac = {} + for par in self.param_name: + jac[par] = [] + + for d in range(len(dsdp_extract)): + for p, par in enumerate(self.param_name): + if self.scale_nominal_param_value: + jac[par].append(self.param_init[par]*dsdp_extract[d][p]*self.scale_constant_value) + else: + jac[par].append(dsdp_extract[d][p]*self.scale_constant_value) + if self.verbose: print('Build time with direct kaug mode [s]:', time_build) print('Solve time with direct kaug mode [s]:', time_solve) - #FIM_analysis.build_time = time_build - #FIM_analysis.solve_time = time_solve + # check if another prior experiment FIM is provided other than the user-specified one + if specified_prior is None: + prior_in_use = self.prior_FIM + else: + prior_in_use = specified_prior + + # Assemble and analyze results + FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, + scale_constant_value=self.scale_constant_value) - return dsdp_extract + self.jac = jac + FIM_analysis.build_time = time_build + FIM_analysis.solve_time = time_solve + + return FIM_analysis else: diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index f7f3cc1c84e..a394f73ffee 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -300,21 +300,26 @@ "text": [ "Sensitivity information is scaled by its corresponding parameter nominal value.\n", "===In construction===\n", - "[0.0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 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'CB[0,0.23958333333333331]', 'CB[0,0.25]', 'CB[0,0.26041666666666663]', 'CB[0,0.2708333333333333]', 'CB[0,0.28125]', 'CB[0,0.29166666666666663]', 'CB[0,0.3020833333333333]', 'CB[0,0.3125]', 'CB[0,0.32291666666666663]', 'CB[0,0.3333333333333333]', 'CB[0,0.34375]', 'CB[0,0.35416666666666663]', 'CB[0,0.3645833333333333]', 'CB[0,0.375]', 'CB[0,0.38541666666666663]', 'CB[0,0.3958333333333333]', 'CB[0,0.40625]', 'CB[0,0.41666666666666663]', 'CB[0,0.4270833333333333]', 'CB[0,0.4375]', 'CB[0,0.44791666666666663]', 'CB[0,0.4583333333333333]', 'CB[0,0.46875]', 'CB[0,0.47916666666666663]', 'CB[0,0.4895833333333333]', 'CB[0,0.5]', 'CB[0,0.5104166666666666]', 'CB[0,0.5208333333333333]', 'CB[0,0.53125]', 'CB[0,0.5416666666666666]', 'CB[0,0.5520833333333333]', 'CB[0,0.5625]', 'CB[0,0.5729166666666666]', 'CB[0,0.5833333333333333]', 'CB[0,0.59375]', 'CB[0,0.6041666666666666]', 'CB[0,0.6145833333333333]', 'CB[0,0.625]', 'CB[0,0.6354166666666666]', 'CB[0,0.6458333333333333]', 'CB[0,0.65625]', 'CB[0,0.6666666666666666]', 'CB[0,0.6770833333333333]', 'CB[0,0.6875]', 'CB[0,0.6979166666666666]', 'CB[0,0.7083333333333333]', 'CB[0,0.71875]', 'CB[0,0.7291666666666666]', 'CB[0,0.7395833333333333]', 'CB[0,0.75]', 'CB[0,0.7604166666666666]', 'CB[0,0.7708333333333333]', 'CB[0,0.78125]', 'CB[0,0.7916666666666666]', 'CB[0,0.8020833333333333]', 'CB[0,0.8125]', 'CB[0,0.8229166666666666]', 'CB[0,0.8333333333333333]', 'CB[0,0.84375]', 'CB[0,0.8541666666666666]', 'CB[0,0.8645833333333333]', 'CB[0,0.875]', 'CB[0,0.8854166666666666]', 'CB[0,0.8958333333333333]', 'CB[0,0.90625]', 'CB[0,0.9166666666666666]', 'CB[0,0.9270833333333333]', 'CB[0,0.9375]', 'CB[0,0.9479166666666666]', 'CB[0,0.9583333333333333]', 'CB[0,0.96875]', 'CB[0,0.9791666666666666]', 'CB[0,0.9895833333333333]', 'CB[0,1.0]', 'CC[0,0.0]', 'CC[0,0.010416666666666666]', 'CC[0,0.020833333333333332]', 'CC[0,0.03125]', 'CC[0,0.041666666666666664]', 'CC[0,0.05208333333333333]', 'CC[0,0.0625]', 'CC[0,0.07291666666666666]', 'CC[0,0.08333333333333333]', 'CC[0,0.09375]', 'CC[0,0.10416666666666666]', 'CC[0,0.11458333333333333]', 'CC[0,0.125]', 'CC[0,0.13541666666666666]', 'CC[0,0.14583333333333331]', 'CC[0,0.15625]', 'CC[0,0.16666666666666666]', 'CC[0,0.17708333333333331]', 'CC[0,0.1875]', 'CC[0,0.19791666666666666]', 'CC[0,0.20833333333333331]', 'CC[0,0.21875]', 'CC[0,0.22916666666666666]', 'CC[0,0.23958333333333331]', 'CC[0,0.25]', 'CC[0,0.26041666666666663]', 'CC[0,0.2708333333333333]', 'CC[0,0.28125]', 'CC[0,0.29166666666666663]', 'CC[0,0.3020833333333333]', 'CC[0,0.3125]', 'CC[0,0.32291666666666663]', 'CC[0,0.3333333333333333]', 'CC[0,0.34375]', 'CC[0,0.35416666666666663]', 'CC[0,0.3645833333333333]', 'CC[0,0.375]', 'CC[0,0.38541666666666663]', 'CC[0,0.3958333333333333]', 'CC[0,0.40625]', 'CC[0,0.41666666666666663]', 'CC[0,0.4270833333333333]', 'CC[0,0.4375]', 'CC[0,0.44791666666666663]', 'CC[0,0.4583333333333333]', 'CC[0,0.46875]', 'CC[0,0.47916666666666663]', 'CC[0,0.4895833333333333]', 'CC[0,0.5]', 'CC[0,0.5104166666666666]', 'CC[0,0.5208333333333333]', 'CC[0,0.53125]', 'CC[0,0.5416666666666666]', 'CC[0,0.5520833333333333]', 'CC[0,0.5625]', 'CC[0,0.5729166666666666]', 'CC[0,0.5833333333333333]', 'CC[0,0.59375]', 'CC[0,0.6041666666666666]', 'CC[0,0.6145833333333333]', 'CC[0,0.625]', 'CC[0,0.6354166666666666]', 'CC[0,0.6458333333333333]', 'CC[0,0.65625]', 'CC[0,0.6666666666666666]', 'CC[0,0.6770833333333333]', 'CC[0,0.6875]', 'CC[0,0.6979166666666666]', 'CC[0,0.7083333333333333]', 'CC[0,0.71875]', 'CC[0,0.7291666666666666]', 'CC[0,0.7395833333333333]', 'CC[0,0.75]', 'CC[0,0.7604166666666666]', 'CC[0,0.7708333333333333]', 'CC[0,0.78125]', 'CC[0,0.7916666666666666]', 'CC[0,0.8020833333333333]', 'CC[0,0.8125]', 'CC[0,0.8229166666666666]', 'CC[0,0.8333333333333333]', 'CC[0,0.84375]', 'CC[0,0.8541666666666666]', 'CC[0,0.8645833333333333]', 'CC[0,0.875]', 'CC[0,0.8854166666666666]', 'CC[0,0.8958333333333333]', 'CC[0,0.90625]', 'CC[0,0.9166666666666666]', 'CC[0,0.9270833333333333]', 'CC[0,0.9375]', 'CC[0,0.9479166666666666]', 'CC[0,0.9583333333333333]', 'CC[0,0.96875]', 'CC[0,0.9791666666666666]', 'CC[0,0.9895833333333333]', 'CC[0,1.0]', 'kp1[0,0.0]', 'kp2[0,0.0]']\n", - "Build time with direct kaug mode [s]: 0.021114110946655273\n", - "Solve time with direct kaug mode [s]: 0.5185098648071289\n" + "Build time with direct kaug mode [s]: 0.024827003479003906\n", + "Solve time with direct kaug mode [s]: 0.48801469802856445\n", + "Existed information has been added.\n", + "Warning: FIM is near singular.\n", + "The condition number is: 2.454288102377553e+16 ;\n", + "A condition number bigger than 1000000000000.0 is considered near singular.\n", + "FIM: [[ 22.52759895 1.84060691 -70.23819683 -11.10348807]\n", + " [ 1.84060691 18.09827674 -5.73877895 -109.17811864]\n", + " [ -70.23819683 -5.73877895 218.99379088 34.61926777]\n", + " [ -11.10348807 -109.17811864 34.61926777 658.61859457]]\n", + "Trace: 918.238261141418\n", + "Determinant: -1.3821910055973166e-23\n", + "Condition number: -3.7111797198701016e+16\n", + "Minimal eigen value: -1.8318042586844384e-14\n", + "Eigen values: [ 2.84217094e-14 2.38422780e+02 6.79815482e+02 -1.83180426e-14]\n", + "Eigen vectors: [[-9.52221759e-01 3.04333589e-01 -2.55888375e-02 1.22647229e-01]\n", + " [ 2.12671219e-17 -1.37020647e-02 -1.62961624e-01 9.78319842e-01]\n", + " [-3.05407469e-01 -9.48873538e-01 7.97827504e-02 3.93368241e-02]\n", + " [-3.07883750e-17 8.26579051e-02 9.83068377e-01 1.62174467e-01]]\n" ] - }, - { - "data": { - "text/plain": [ - "\"\\nif sensi_opt == 'simultaneous_finite':\\n result.extract_FIM(doe_object.m, doe_object.design_timeset,\\n doe_object.square_result, doe_object.obj_opt)\\nelse: \\n result.calculate_FIM(doe_object.jac, doe_object.design_values)\\n\"" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ @@ -328,39 +333,65 @@ "result = doe_object.compute_FIM(exp1,mode=sensi_opt, FIM_store_name = 'dynamic.csv', \n", " scale_nominal_param_value=if_s, formula='central')\n", "\n", - "'''\n", + "\n", "if sensi_opt == 'simultaneous_finite':\n", " result.extract_FIM(doe_object.m, doe_object.design_timeset,\n", " doe_object.square_result, doe_object.obj_opt)\n", "else: \n", - " result.calculate_FIM(doe_object.jac, doe_object.design_values)\n", - "'''" + " result.calculate_FIM(doe_object.jac, doe_object.design_values)\n" ] }, { "cell_type": "code", "execution_count": 8, "id": "45846b75", - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[array([0., 0., 0., 0.]), array([-0.01730277, 0. , 0.58817855, 0. ]), array([-0.02164992, 0. , 0.73595264, 0. ]), array([-0.02031694, 0. , 0.69064014, 0. ]), array([-0.01694758, 0. , 0.57610447, 0. ]), array([-0.01325343, 0. , 0.45052817, 0. ]), array([-0.00994994, 0. , 0.33823137, 0. ]), array([-0.00726236, 0. , 0.24687173, 0. ]), array([-0.00519255, 0. , 0.17651191, 0. ]), array([0., 0., 0., 0.]), array([ 1.62122230e-02, -2.80212223e-04, -5.51107296e-01, 4.17585026e-02]), array([ 0.01854136, -0.00089912, -0.63028239, 0.1339912 ]), array([ 0.01529419, -0.00163321, -0.51990034, 0.24338812]), array([ 0.01048416, -0.0023581 , -0.35639143, 0.35141531]), array([ 0.00588382, -0.00300928, -0.20001056, 0.44845695]), array([ 0.00214202, -0.00355776, -0.0728145 , 0.53019374]), array([-0.00062149, -0.00399515, 0.02112653, 0.59537472]), array([-0.0025094 , -0.0043245 , 0.08530294, 0.6444562 ]), array([0., 0., 0., 0.]), array([ 0.00109055, 0.00028021, -0.03707125, -0.0417585 ]), array([ 0.00310856, 0.00089912, -0.10567024, -0.1339912 ]), array([ 0.00502275, 0.00163321, -0.1707398 , -0.24338812]), array([ 0.00646342, 0.0023581 , -0.21971304, -0.35141531]), array([ 0.00736961, 0.00300928, -0.25051761, -0.44845695]), array([ 0.00780791, 0.00355776, -0.26541687, -0.53019374]), array([ 0.00788385, 0.00399515, -0.26799827, -0.59537472]), array([ 0.00770195, 0.0043245 , -0.26181485, -0.6444562 ])]\n" + "{'A1': [0.0, -1.4671165590890227, -1.8357152068365623, -1.7226904875421667, -1.4369997189668675, -1.1237698787397774, -0.8436636241097656, -0.6157817376807218, -0.44028049167005656, 0.0, 1.3746483033503578, 1.5721378167552424, 1.2968075938896904, 0.8889609592193409, 0.49889409031680354, 0.18162403480088252, -0.05269672983821703, -0.21277443759229744, 0.0, 0.09246825573866527, 0.2635773900813198, 0.4258828936524762, 0.5480387597475265, 0.6248757884229738, 0.6620395893088831, 0.6684784675189387, 0.653054929262354], 'A2': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.10415985261133202, -0.3342194585587312, -0.6070924397057353, -0.8765488288347111, -1.1186035628981108, -1.3224828123370902, -1.4850662682437636, -1.607492092530422, 0.0, 0.10415985261133202, 0.33421945855873125, 0.6070924397057355, 0.8765488288347111, 1.118603562898111, 1.32248281233709, 1.4850662682437632, 1.607492092530422], 'E1': [0.0, 4.574283387428165, 5.7235272294218715, 5.371130487231112, 4.480382899018336, 3.503771977601688, 2.630436195702819, 1.9199293713265593, 1.3727387414300452, 0.0, -4.285979091856397, -4.901726351174476, -4.043281630672642, -2.7716675424576778, -1.5554885092696764, -0.5662807089187382, 0.16430172120776912, 0.6634037146661081, 0.0, -0.28830429557176807, -0.8218008782473937, -1.3278488565584705, -1.708715356560658, -1.9482834683320107, -2.064155486784081, -2.084231092534328, -2.0361424560961523], 'E2': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6283458314844172, 2.016183762951199, 3.662294005332556, 5.287793606487088, 6.747992323427852, 7.97789687205638, 8.958683943333156, 9.697219515609842, 0.0, -0.6283458314844172, -2.0161837629511994, -3.662294005332556, -5.287793606487088, -6.747992323427853, -7.97789687205638, -8.958683943333153, -9.697219515609842]}\n" ] } ], "source": [ - "print(result)" + "print(doe_object.jac)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "64fc6da4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "Four design criteria log10() value:\n", + "A-optimality: 2.962955384984559\n", + "D-optimality: nan\n", + "E-optimality: nan\n", + "Modified E-optimality: nan\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_44838/2909312286.py:4: RuntimeWarning: invalid value encountered in log10\n", + " print('D-optimality:', np.log10(result.det))\n", + "/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_44838/2909312286.py:5: RuntimeWarning: invalid value encountered in log10\n", + " print('E-optimality:', np.log10(result.min_eig))\n", + "/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_44838/2909312286.py:6: RuntimeWarning: invalid value encountered in log10\n", + " print('Modified E-optimality:', np.log10(result.cond))\n" + ] + } + ], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", diff --git a/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb index a110d281cd2..0356007cd44 100644 --- a/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb +++ b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb @@ -2,26 +2,36 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "41a5ca6d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", + " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", + " (deprecated in 6.1) (called from :228)\n" + ] + } + ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from pyomo.environ import *\n", "from pyomo.dae import *\n", "import pandas as pd\n", - "#from sens import get_dsdp\n", + "from sens import get_dsdp\n", "#from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp, get_dfds_dcds\n", "#from idaes.apps.uncertainty_propagation.uncertainties import propagate_uncertainty\n", - "from idaes.apps.uncertainty_propagation.sens import get_dsdp\n", + "#from idaes.apps.uncertainty_propagation.sens import get_dsdp\n", "import time" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "58c72305", "metadata": {}, "outputs": [], @@ -39,7 +49,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "28406a87", "metadata": {}, "outputs": [], @@ -129,7 +139,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "dffa0be3", "metadata": {}, "outputs": [], @@ -182,15 +192,15 @@ " m.R = 8.31446261815324 # J / K / mole\n", " \n", " # Define parameters\n", - " m.A1 = Param(m.scena, initialize=m.scena_all['A1'],mutable=True)\n", - " m.A2 = Param(m.scena, initialize=m.scena_all['A2'],mutable=True)\n", - " m.E1 = Param(m.scena, initialize=m.scena_all['E1'],mutable=True)\n", - " m.E2 = Param(m.scena, initialize=m.scena_all['E2'],mutable=True)\n", + " #m.A1 = Param(m.scena, initialize=m.scena_all['A1'],mutable=True)\n", + " #m.A2 = Param(m.scena, initialize=m.scena_all['A2'],mutable=True)\n", + " #m.E1 = Param(m.scena, initialize=m.scena_all['E1'],mutable=True)\n", + " #m.E2 = Param(m.scena, initialize=m.scena_all['E2'],mutable=True)\n", " \n", - " #m.A1 = Var(m.scena, initialize = m.scena_all['A1'])\n", - " #m.A2 = Var(m.scena, initialize = m.scena_all['A2'])\n", - " #m.E1 = Var(m.scena, initialize = m.scena_all['E1'])\n", - " #m.E2 = Var(m.scena, initialize = m.scena_all['E2'])\n", + " m.A1 = Var(m.scena, initialize = m.scena_all['A1'])\n", + " m.A2 = Var(m.scena, initialize = m.scena_all['A2'])\n", + " m.E1 = Var(m.scena, initialize = m.scena_all['E1'])\n", + " m.E2 = Var(m.scena, initialize = m.scena_all['E2'])\n", " \n", " # Concentration variables under perturbation\n", " m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals)\n", @@ -286,10 +296,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "471c51b8", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A1\n", + "A1\n", + "84.79085853498033\n" + ] + } + ], "source": [ "from pyomo.environ import (\n", " Param, Var, Block, ComponentMap, Objective, Constraint,\n", @@ -307,10 +327,10 @@ " comp = m.find_component('A1')\n", " print(comp)\n", "\n", - " m.del_component('A1')\n", - " m.del_component('A2')\n", - " m.del_component('E1')\n", - " m.del_component('E2')\n", + " #m.del_component('A1')\n", + " #m.del_component('A2')\n", + " #m.del_component('E1')\n", + " #m.del_component('E2')\n", "\n", " m.CA0.fix()\n", " m.T.fix()\n", @@ -318,24 +338,10 @@ " #print(comp2)\n", "\n", " for item in para_name:\n", - " setattr(m, item, Var(m.scena, initialize=m.scena_all[item]))\n", + " #setattr(m, item, Var(m.scena, initialize=m.scena_all[item]))\n", " compe = eval('m.' + item + '[0]')\n", " compe.setlb(m.scena_all[item])\n", " compe.setub(m.scena_all[item])\n", - " \n", - " \n", - " \n", - " #m.A1[0].setlb(m.scena_all['A1'])\n", - " #m.A2[0].setlb(m.scena_all['A2'])\n", - " #m.E1[0].setlb(m.scena_all['E1'])\n", - " #m.E2[0].setlb(m.scena_all['E2'])\n", - " #m.A1[0].setub(m.scena_all['A1'])\n", - " #m.A2[0].setub(m.scena_all['A2'])\n", - " #m.E1[0].setub(m.scena_all['E1'])\n", - " #m.E2[0].setub(m.scena_all['E2'])\n", - " \n", - " #m.A1[0].setlb(m.scena_all['A1'])\n", - " #m.A1[0].setub(m.scena_all['A1'])\n", "\n", " print(m.A1)\n", " return m \n", @@ -354,7 +360,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "bc86ed32", "metadata": {}, "outputs": [], @@ -515,7 +521,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "cac2f545", "metadata": {}, "outputs": [], @@ -679,7 +685,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "ed2126e2", "metadata": {}, "outputs": [], @@ -693,13 +699,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "50a912a8", "metadata": {}, "outputs": [], "source": [ "scena_version = True\n", - "dae = False\n", + "dae = True\n", "\n", "sigma_p = np.array([[1, 0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0, 1]])\n", "\n", @@ -716,9 +722,9 @@ " model_un.T.fix()\n", " \n", " else:\n", - " #model_un = create_model_scena(scena_this, CA_init=5, T_init=300)\n", - " model_un = create_model(scena_this, CA_init=5, T_init=300)\n", - " model_un = add_comp(model_un)\n", + " model_un = create_model_scena(scena_this, CA_init=5, T_init=300)\n", + " #model_un = create_model(scena_this, CA_init=5, T_init=300)\n", + " #model_un = add_comp(model_un)\n", " \n", "else:\n", " variable_name = ['A1', 'A2','E1','E2']\n", @@ -729,10 +735,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "f6cc3bc2", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total time: 0.583266019821167\n" + ] + } + ], "source": [ "options = 'get_dsdp'\n", " \n", @@ -765,10 +779,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "id": "7d2b0b29", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[array([-1.73027678e-02, -1.43679068e-20, 5.88178536e-01, -6.18669313e-19]), array([-2.16499185e-02, -1.78817089e-20, 7.35952626e-01, 1.30032101e-19]), array([-2.03169362e-02, -1.67507069e-20, 6.90640130e-01, 4.04848874e-19]), array([-1.69475781e-02, -1.39602479e-20, 5.76104461e-01, 4.55668554e-19]), array([-1.32534319e-02, -1.09113881e-20, 4.50528161e-01, 4.11692756e-19]), array([-9.94993600e-03, -8.18871930e-21, 3.38231367e-01, 3.36777622e-19]), array([-7.26235992e-03, -5.97533190e-21, 2.46871731e-01, 2.60252944e-19]), array([-5.19254665e-03, -4.27150657e-21, 1.76511904e-01, 1.93824012e-19]), array([ 1.62122226e-02, -2.80212228e-04, -5.51107284e-01, 4.17585033e-02]), array([ 0.01854136, -0.00089912, -0.63028238, 0.13399121]), array([ 0.01529419, -0.00163321, -0.51990033, 0.24338813]), array([ 0.01048416, -0.0023581 , -0.35639142, 0.35141531]), array([ 0.00588382, -0.00300928, -0.20001055, 0.44845695]), array([ 0.00214202, -0.00355776, -0.0728145 , 0.53019374]), array([-0.00062149, -0.00399515, 0.02112654, 0.59537473]), array([-0.0025094 , -0.0043245 , 0.08530294, 0.6444562 ]), array([ 0.00109055, 0.00028021, -0.03707125, -0.0417585 ]), array([ 0.00310856, 0.00089912, -0.10567025, -0.13399121]), array([ 0.00502275, 0.00163321, -0.1707398 , -0.24338813]), array([ 0.00646342, 0.0023581 , -0.21971304, -0.35141531]), array([ 0.00736961, 0.00300928, -0.25051761, -0.44845695]), array([ 0.00780791, 0.00355776, -0.26541687, -0.53019374]), array([ 0.00788385, 0.00399515, -0.26799827, -0.59537473]), array([ 0.00770195, 0.0043245 , -0.26181485, -0.6444562 ])]\n", + "{'A1': [-0.017302767775032663, -0.021649918524321302, -0.020316936206563024, -0.01694757814683754, -0.013253431865429818, -0.00994993600277886, -0.00726235992068888, -0.0051925466531954146, 0.01621222260143898, 0.01854135940504507, 0.015294190756140181, 0.010484160120454795, 0.005883819130284958, 0.0021420236614881115, -0.0006214907664507417, -0.002509403072608854, 0.0010905451735936827, 0.0031085591192762294, 0.005022745450422841, 0.006463418026382743, 0.00736961273514486, 0.007807912341290749, 0.00788385068713962, 0.007701949725804268], 'A2': [-1.4367906760887155e-20, -1.788170887954843e-20, -1.675070692303615e-20, -1.3960247885911163e-20, -1.0911388114739291e-20, -8.188719300379765e-21, -5.9753319005728495e-21, -4.271506571532792e-21, -0.00028021222784741314, -0.0008991216455749929, -0.0016332081739825041, -0.002358103340461496, -0.0030092822093800353, -0.0035577608811426156, -0.003995145059222827, -0.00432449664195851, 0.0002802122278474132, 0.0008991216455749931, 0.0016332081739825043, 0.0023581033404614956, 0.003009282209380035, 0.0035577608811426164, 0.003995145059222825, 0.004324496641958511], 'E1': [0.5881785358255172, 0.7359526258424283, 0.6906401302848271, 0.576104460846965, 0.45052816119512695, 0.3382313665514716, 0.24687173059979636, 0.17651190418732884, -0.5511072838850338, -0.6302823784533806, -0.5199003328567596, -0.3563914183664613, -0.20001055126607648, -0.07281449750112735, 0.021126535002540837, 0.08530294368123602, -0.03707125194048326, -0.10567024738904743, -0.17073979742806736, -0.21971304248050366, -0.2505176099290505, -0.2654168690503444, -0.2679982656023372, -0.26181484786856485], 'E2': [-6.186693129276197e-19, 1.3003210142466848e-19, 4.0484887429789663e-19, 4.556685540664023e-19, 4.1169275602496543e-19, 3.367776215144567e-19, 2.6025294362516643e-19, 1.938240123257332e-19, 0.04175850330414224, 0.1339912055087562, 0.2433881256842879, 0.3514153072141862, 0.44845695010826314, 0.5301937415502169, 0.5953747252133842, 0.6444561991431437, -0.04175850330414225, -0.1339912055087562, -0.24338812568428794, -0.3514153072141861, -0.4484569501082632, -0.530193741550217, -0.5953747252133842, -0.6444561991431438]}\n" + ] + } + ], "source": [ "if options=='prop':\n", " var_idx = np.array([True,True,False,False,True])\n", @@ -776,16 +799,11 @@ " \n", "elif options=='get_dsdp':\n", " dsdp_array = dsdp_re.toarray().T\n", - " print(col)\n", - " print(dsdp_array)\n", " \n", " \n", "timepoint = [0.125,0.25,0.375,0.5,0.625,0.75,0.875,1]\n", "index_list = []\n", "\n", - "print(np.shape(col))\n", - "print(np.shape(dsdp_array))\n", - "\n", "measure_name = []\n", "for cname in ['CA', 'CB', 'CC']:\n", " for tim in timepoint:\n", @@ -795,11 +813,6 @@ "for itera in range(len(measure_name)):\n", " no = col.index(measure_name[itera])\n", " index_list.append(no)\n", - " \n", - "print(index_list)\n", - "\n", - "#for xx in col:\n", - "# if xx.startwith()\n", "\n", "dsdp_extract = []\n", "for kk in index_list:\n", @@ -807,7 +820,21 @@ " \n", "print(dsdp_extract)\n", "\n", - "print(dsdp_array)\n", + "jac = {}\n", + "jac['A1'] = []\n", + "jac['A2'] = []\n", + "jac['E1'] = []\n", + "jac['E2'] = []\n", + "\n", + "for d in range(len(dsdp_extract)):\n", + " jac['A1'].append(dsdp_extract[d][0])\n", + " jac['A2'].append(dsdp_extract[d][1])\n", + " jac['E1'].append(dsdp_extract[d][2])\n", + " jac['E2'].append(dsdp_extract[d][3])\n", + " \n", + "print(jac)\n", + "\n", + "#print(dsdp_array)\n", "#print(np.shape(dsdp_array))\n", "dd=pd.DataFrame(dsdp_array)\n", "dd.to_csv('dsdp_test.csv')" From e6a2999efcfa690240a4f266bd209fac8124135e Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Wed, 8 Sep 2021 20:34:38 -0400 Subject: [PATCH 25/42] Debugged direct_kaug mode for DAE models --- pyomo/contrib/doe/fim_doe.py | 42 ++++++--- pyomo/contrib/doe/reactor_control_doe.ipynb | 94 +++++++++------------ pyomo/contrib/doe/reactor_models.py | 36 ++++++-- 3 files changed, 99 insertions(+), 73 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index a04c272fe7b..f8bdb8980e3 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -9,7 +9,7 @@ from sens import get_dsdp from pyomo.contrib.sensitivity_toolbox.sens import sipopt, sensitivity_calculation from idaes.apps.uncertainty_propagation.sens import get_dsdp - +#from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp class DesignOfExperiments: def __init__(self, param_init, design_variable_timepoints, measurement_variables, measurement_timeset, create_model, solver=None, @@ -541,12 +541,13 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No for t in mod.t: t_all.append(t) + # Check if measurement time points are in this time set + # Also correct the measurement time points + # For e.g. if a measurement time point is 0.0 in the model but is given as 0, it is corrected here measurement_accurate_time = [] - # check if measurement time points are in this time set for tt in self.measurement_timeset: if tt not in t_all: print('A measurement time point not measured by this model: ', tt) - # For e.g. if a measurement time point is 0.0 in the model but is given as 0, it is corrected here. measurement_accurate_time.append(t_all[t_all.index(tt)]) # fix model DOF @@ -561,38 +562,53 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # generate parameter name list and value dictionary with index var_name = [] var_dict = {} - for name in self.param_name: var_name.append(name+'[0]') var_dict[name+'[0]'] = self.param_init[name] + # call k_aug get_dsdp function time0_solve = time.time() dsdp_re, col = get_dsdp(mod, var_name, var_dict, tee=self.tee_opt) time1_solve = time.time() time_solve = time1_solve - time0_solve - #print(col) # analyze result dsdp_array = dsdp_re.toarray().T # here for construction. Remove after finishing. dd = pd.DataFrame(dsdp_array) - dd.to_csv('dsdp_test.csv') # store dsdp returned dsdp_extract = [] # get right lines from results measurement_index = [] measurement_names = [] + # produce the sensitivity for fixed variables + zero_sens = np.zeros(len(self.param_name)) + # loop over measurement variables and their time points for mname in self.measurement_variables: for tim in measurement_accurate_time: + # get the measurement name in the model measure_name = mname+'[0,'+str(tim)+']' measurement_names.append(measure_name) # get right line number in kaug results - kaug_no = col.index(measure_name) - measurement_index.append(kaug_no) - # get right line of dsdp - dsdp_extract.append(dsdp_array[kaug_no]) + if self.discretize_model is not None: + # for DAE model, some variables are fixed + try: + kaug_no = col.index(measure_name) + measurement_index.append(kaug_no) + # get right line of dsdp + dsdp_extract.append(dsdp_array[kaug_no]) + except: + if self.verbose: + print('The variable is fixed:', measure_name) + # for fixed variables, the sensitivity are a zero vector + dsdp_extract.append(zero_sens) + else: + kaug_no = col.index(measure_name) + measurement_index.append(kaug_no) + # get right line of dsdp + dsdp_extract.append(dsdp_array[kaug_no]) - # Convert sensitivity if scaled by constants or parameters. + # Extract and calculate sensitivity if scaled by constants or parameters. # Convert sensitivity to a dictionary jac = {} for par in self.param_name: @@ -600,6 +616,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No for d in range(len(dsdp_extract)): for p, par in enumerate(self.param_name): + # if scaled by parameter value or constant value if self.scale_nominal_param_value: jac[par].append(self.param_init[par]*dsdp_extract[d][p]*self.scale_constant_value) else: @@ -711,6 +728,7 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, multiple scenarios. Sensitivity info estimated by finite difference 3. Sequential_sipopt: calculate sensitivity by sIPOPT. 4. Sequential_kaug: calculate sensitivity by k_aug + 5, direct_kaug: calculate sensitivity by k_aug with direct sensitivity. **In construction** Parameters: ----------- @@ -792,7 +810,7 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, if (mode=='simultaneous_finite'): result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.objective_option) - elif (mode in ['sequential_finite', 'sequential_sipopt', 'sequential_kaug']): + elif (mode in ['sequential_finite', 'sequential_sipopt', 'sequential_kaug', 'direct_kaug']): result_iter.calculate_FIM(self.jac, self.design_values) t_now = time.time() diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index a394f73ffee..2e150a15a5c 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -43,7 +43,8 @@ "\n", "from fim_doe import *\n", "from pyomo.contrib.sensitivity_toolbox.sens import sipopt\n", - "from idaes.apps.uncertainty_propagation.sens import get_dsdp" + "from idaes.apps.uncertainty_propagation.sens import get_dsdp\n", + "#from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp" ] }, { @@ -146,9 +147,9 @@ "outputs": [], "source": [ "# choose model from 'dynamic-DAE', 'constant-DAE', 'constant-analytical'\n", - "#model_opt = 'dynamic-DAE'\n", + "model_opt = 'dynamic-DAE'\n", "#model_opt = 'constant-DAE'\n", - "model_opt = 'constant-analytical'\n", + "#model_opt = 'constant-analytical'\n", "\n", "if (model_opt=='dynamic-DAE'):\n", " createmod = create_model_dae\n", @@ -209,16 +210,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "The prior information FIM: [[0. 0. 0. 0.]\n", - " [0. 0. 0. 0.]\n", - " [0. 0. 0. 0.]\n", - " [0. 0. 0. 0.]]\n", - "Prior Det: 0.0\n", - "Eigenvalue of the prior experiments FIM: [0. 0. 0. 0.]\n", - "Eigenvalue of the prior experiments FIM: [[1. 0. 0. 0.]\n", - " [0. 1. 0. 0.]\n", - " [0. 0. 1. 0.]\n", - " [0. 0. 0. 1.]]\n" + "The prior information FIM: [[ 22.52943024 1.84034314 -70.23273336 -11.09432962]\n", + " [ 1.84034314 18.09848116 -5.73565034 -109.15866135]\n", + " [ -70.23273336 -5.73565034 218.94192843 34.57680848]\n", + " [ -11.09432962 -109.15866135 34.57680848 658.37644634]]\n", + "Prior Det: 1.8919381636034424e-08\n", + "Eigenvalue of the prior experiments FIM: [2.38378604e+02 6.79567681e+02 2.12450662e-07 5.49729273e-07]\n", + "Eigenvalue of the prior experiments FIM: [[-0.87143147 0.38380582 0.30437815 -0.02557787]\n", + " [ 0.39764512 0.90284244 -0.01368273 -0.16299286]\n", + " [-0.2795342 0.12312967 -0.94886453 0.07972337]\n", + " [ 0.0659256 0.14969203 0.0826004 0.9830683 ]]\n" ] } ], @@ -228,10 +229,10 @@ "\n", "\n", "# add prior information\n", - "#prior_5_300 = pd.read_csv('fim_5_300_scale.csv')\n", + "prior_5_300 = pd.read_csv('fim_5_300_scale.csv')\n", "#prior_5_300_500 = pd.read_csv('fim_5_300_500_scale.csv')\n", "\n", - "#prior_all = prior_5_300_500\n", + "prior_all = prior_5_300\n", "\n", "\n", "prior_pass=np.asarray(prior_all)\n", @@ -265,7 +266,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Design variable: {'CA0': {0: 5}, 'T': {0: 300}}\n" + "Design variable: {'CA0': {0: 5}, 'T': {0: 570.21, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n" ] } ], @@ -300,25 +301,24 @@ "text": [ "Sensitivity information is scaled by its corresponding parameter nominal value.\n", "===In construction===\n", - "Build time with direct kaug mode [s]: 0.024827003479003906\n", - "Solve time with direct kaug mode [s]: 0.48801469802856445\n", + "The variable is fixed: CB[0,0]\n", + "The variable is fixed: CC[0,0]\n", + "Build time with direct kaug mode [s]: 0.0035851001739501953\n", + "Solve time with direct kaug mode [s]: 0.5968918800354004\n", "Existed information has been added.\n", - "Warning: FIM is near singular.\n", - "The condition number is: 2.454288102377553e+16 ;\n", - "A condition number bigger than 1000000000000.0 is considered near singular.\n", - "FIM: [[ 22.52759895 1.84060691 -70.23819683 -11.10348807]\n", - " [ 1.84060691 18.09827674 -5.73877895 -109.17811864]\n", - " [ -70.23819683 -5.73877895 218.99379088 34.61926777]\n", - " [ -11.10348807 -109.17811864 34.61926777 658.61859457]]\n", - "Trace: 918.238261141418\n", - "Determinant: -1.3821910055973166e-23\n", - "Condition number: -3.7111797198701016e+16\n", - "Minimal eigen value: -1.8318042586844384e-14\n", - "Eigen values: [ 2.84217094e-14 2.38422780e+02 6.79815482e+02 -1.83180426e-14]\n", - "Eigen vectors: [[-9.52221759e-01 3.04333589e-01 -2.55888375e-02 1.22647229e-01]\n", - " [ 2.12671219e-17 -1.37020647e-02 -1.62961624e-01 9.78319842e-01]\n", - " [-3.05407469e-01 -9.48873538e-01 7.97827504e-02 3.93368241e-02]\n", - " [-3.07883750e-17 8.26579051e-02 9.83068377e-01 1.62174467e-01]]\n" + "FIM: [[ 40.19497553 20.58727765 -100.31502211 -87.71944874]\n", + " [ 20.58727765 48.85905856 -35.76779002 -233.88968521]\n", + " [-100.31502211 -35.76779002 270.97935935 157.85590065]\n", + " [ -87.71944874 -233.88968521 157.85590065 1171.61206637]]\n", + "Trace: 1531.6454598068271\n", + "Determinant: 668931.420969035\n", + "Condition number: 2200.5008102507245\n", + "Minimal eigen value: 0.5700699576014266\n", + "Eigen values: [1.25443940e+03 2.73212224e+02 5.70069958e-01 3.42376248e+00]\n", + "Eigen vectors: [[ 0.08687129 -0.32566169 -0.67033112 0.66110062]\n", + " [ 0.19323666 0.01986862 0.69657034 0.69069139]\n", + " [-0.17035436 0.92611868 -0.22624604 0.2491913 ]\n", + " [-0.96233693 -0.18935121 0.11940973 0.15425651]]\n" ] } ], @@ -353,7 +353,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'A1': [0.0, -1.4671165590890227, -1.8357152068365623, -1.7226904875421667, -1.4369997189668675, -1.1237698787397774, -0.8436636241097656, -0.6157817376807218, -0.44028049167005656, 0.0, 1.3746483033503578, 1.5721378167552424, 1.2968075938896904, 0.8889609592193409, 0.49889409031680354, 0.18162403480088252, -0.05269672983821703, -0.21277443759229744, 0.0, 0.09246825573866527, 0.2635773900813198, 0.4258828936524762, 0.5480387597475265, 0.6248757884229738, 0.6620395893088831, 0.6684784675189387, 0.653054929262354], 'A2': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.10415985261133202, -0.3342194585587312, -0.6070924397057353, -0.8765488288347111, -1.1186035628981108, -1.3224828123370902, -1.4850662682437636, -1.607492092530422, 0.0, 0.10415985261133202, 0.33421945855873125, 0.6070924397057355, 0.8765488288347111, 1.118603562898111, 1.32248281233709, 1.4850662682437632, 1.607492092530422], 'E1': [0.0, 4.574283387428165, 5.7235272294218715, 5.371130487231112, 4.480382899018336, 3.503771977601688, 2.630436195702819, 1.9199293713265593, 1.3727387414300452, 0.0, -4.285979091856397, -4.901726351174476, -4.043281630672642, -2.7716675424576778, -1.5554885092696764, -0.5662807089187382, 0.16430172120776912, 0.6634037146661081, 0.0, -0.28830429557176807, -0.8218008782473937, -1.3278488565584705, -1.708715356560658, -1.9482834683320107, -2.064155486784081, -2.084231092534328, -2.0361424560961523], 'E2': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6283458314844172, 2.016183762951199, 3.662294005332556, 5.287793606487088, 6.747992323427852, 7.97789687205638, 8.958683943333156, 9.697219515609842, 0.0, -0.6283458314844172, -2.0161837629511994, -3.662294005332556, -5.287793606487088, -6.747992323427853, -7.97789687205638, -8.958683943333153, -9.697219515609842]}\n" + "{'A1': [0.0, -1.3458784592248199, -1.0385483121952266, -0.772695882173894, -0.560339810973275, -0.3986861347730904, -0.27953483124701517, -0.19371926171460974, -0.13297925229710228, 0.0, 0.018801764495640742, -0.27375866332576726, -0.49599304197192595, -0.6441402461551597, -0.7287383246019948, -0.7642734637353684, -0.7645933130666135, -0.741217445041441, 0.0, 1.3270766947291788, 1.3123069755209942, 1.2686889241458197, 1.204480057128435, 1.1274244593750853, 1.0438082949823837, 0.9583125747812232, 0.8741966973385431], 'A2': [0.0, 1.0601350874375237e-14, 3.7219761848013675e-14, 7.001042407814047e-14, -3.038489716262255e-15, 1.1667233751522319e-14, 7.298372564562177e-15, 4.943297764079331e-14, -1.5786854702152192e-14, 0.0, -1.3750510801411124, -1.3870904495350531, -1.4010951218632628, -1.4090999030693983, -1.4075749688207868, -1.3955391579179899, -1.3734111611853175, -1.342318213053259, 0.0, 1.3750510801411018, 1.3870904495350163, 1.4010951218631926, 1.4090999030694014, 1.4075749688207755, 1.3955391579179828, 1.3734111611852677, 1.3423182130532747], 'E1': [0.0, 2.2212180619446835, 2.0024245199350905, 1.636128172516024, 1.2634393624896285, 0.9404847190330924, 0.6822614769537773, 0.48556678817444193, 0.3405231951449452, 0.0, -0.04496873228138491, 0.16909787967602757, 0.49836125990994384, 0.7981648499899259, 1.0190150914431682, 1.1552862282061285, 1.2190281614200942, 1.2272672328718233, 0.0, -2.1762493296632983, -2.1715223996111184, -2.1344894324259673, -2.0616042124795544, -1.9594998104762607, -1.837547705159906, -1.7045949495945358, -1.567790428016768], 'E2': [0.0, -1.2006615972124777e-14, -2.515460595293241e-15, -1.0247311923725983e-14, 3.0603198715723814e-13, 1.7073933622828913e-13, 1.0682174736705473e-13, -1.3504765102330117e-13, 2.0153007984966958e-13, 0.0, 4.377559387907643, 4.863477003374318, 5.3176484276173674, 5.696623493794159, 5.98322317150289, 6.175209180267859, 6.27839956686196, 6.302539342722089, 0.0, -4.377559387907629, -4.863477003374316, -5.317648427617357, -5.6966234937944655, -5.983223171503063, -6.1752091802679665, -6.278399566861825, -6.302539342722291]}\n" ] } ], @@ -373,22 +373,10 @@ "text": [ "======Result summary======\n", "Four design criteria log10() value:\n", - "A-optimality: 2.962955384984559\n", - "D-optimality: nan\n", - "E-optimality: nan\n", - "Modified E-optimality: nan\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_44838/2909312286.py:4: RuntimeWarning: invalid value encountered in log10\n", - " print('D-optimality:', np.log10(result.det))\n", - "/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_44838/2909312286.py:5: RuntimeWarning: invalid value encountered in log10\n", - " print('E-optimality:', np.log10(result.min_eig))\n", - "/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_44838/2909312286.py:6: RuntimeWarning: invalid value encountered in log10\n", - " print('Modified E-optimality:', np.log10(result.cond))\n" + "A-optimality: 3.18515824788867\n", + "D-optimality: 5.82538159606173\n", + "E-optimality: -0.24407184549246372\n", + "Modified E-optimality: 3.3425215328114173\n" ] } ], @@ -542,7 +530,7 @@ "metadata": {}, "outputs": [], "source": [ - "design_ranges = [list(np.linspace(1,5,3)), list(np.linspace(300,700,3))]\n", + "design_ranges = [list(np.linspace(1,5,9)), list(np.linspace(300,700,9))]\n", "\n", "dv_apply_name = ['CA0','T']\n", "\n", @@ -569,7 +557,7 @@ " prior_FIM=prior_pass, discretize_model=disc)\n", "\n", "all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", - " mode='sequential_kaug', \n", + " mode='direct_kaug', \n", " scale_nominal_param_value=True\n", " )" ] diff --git a/pyomo/contrib/doe/reactor_models.py b/pyomo/contrib/doe/reactor_models.py index 0d7e284a23e..9981ec588f0 100644 --- a/pyomo/contrib/doe/reactor_models.py +++ b/pyomo/contrib/doe/reactor_models.py @@ -87,10 +87,15 @@ def T_initial(m,t): m.R = 8.31446261815324 # J / K / mole # Define parameters - m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) - m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) - m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) - m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + m.A1 = Var(m.scena, initialize = m.scena_all['A1']) + m.A2 = Var(m.scena, initialize = m.scena_all['A2']) + m.E1 = Var(m.scena, initialize = m.scena_all['E1']) + m.E2 = Var(m.scena, initialize = m.scena_all['E2']) # Concentration variables under perturbation m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) @@ -182,6 +187,11 @@ def alge(m,z,t): t: time ''' return m.CA[z,t] + m.CB[z,t] + m.CC[z,t] == m.CA0[0] + + def obj_rule(m): + return 0 + + m.Obj = Objective(rule=obj_rule, sense=maximize) # Control time @@ -285,10 +295,15 @@ def T_initial(m,t): m.R = 8.31446261815324 # J / K / mole # Define parameters - m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) - m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) - m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) - m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + m.A1 = Var(m.scena, initialize = m.scena_all['A1']) + m.A2 = Var(m.scena, initialize = m.scena_all['A2']) + m.E1 = Var(m.scena, initialize = m.scena_all['E1']) + m.E2 = Var(m.scena, initialize = m.scena_all['E2']) # Concentration variables under perturbation m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) @@ -380,6 +395,11 @@ def alge(m,z,t): t: time ''' return m.CA[z,t] + m.CB[z,t] + m.CC[z,t] == m.CA0[0] + + def obj_rule(m): + return 0 + + m.Obj = Objective(rule=obj_rule, sense=maximize) # Control time From 8e0c13941c68b8cea5c1a62ae736dbd802f9937d Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Wed, 15 Sep 2021 14:01:10 -0400 Subject: [PATCH 26/42] organize before switching branches --- .../EgReference/Farmer_problem_block.ipynb | 890 ++ .../EgReference/farmer_block_reference.ipynb | 669 ++ .../doe/EgReference/farmer_example_block.py | 263 + .../EgReference/farmer_example_block_robby.py | 263 + .../doe/EgReference/farmer_with_references.py | 116 + .../contrib/doe/design_of_exp_brute_v2.ipynb | 1938 +++++ pyomo/contrib/doe/draw_figures.ipynb | 59 + pyomo/contrib/doe/fim_doe.py | 4 +- pyomo/contrib/doe/fixed_bed_doe.ipynb | 623 ++ .../doe/fixed_bed_model_indexed_dynamic.py | 3211 +++++++ pyomo/contrib/doe/fixed_bed_model_v2.py | 3262 +++++++ pyomo/contrib/doe/interface_slide.py | 97 + pyomo/contrib/doe/k_aug.py | 141 + pyomo/contrib/doe/kinetics_block.ipynb | 7673 +++++++++++++++++ pyomo/contrib/doe/optimize.ipynb | 521 ++ pyomo/contrib/doe/otpimize_example.ipynb | 427 + pyomo/contrib/doe/reactor_control_doe.ipynb | 132 +- .../doe/reactor_kinetics_kaug_case.ipynb | 129 +- 18 files changed, 20366 insertions(+), 52 deletions(-) create mode 100644 pyomo/contrib/doe/EgReference/Farmer_problem_block.ipynb create mode 100644 pyomo/contrib/doe/EgReference/farmer_block_reference.ipynb create mode 100644 pyomo/contrib/doe/EgReference/farmer_example_block.py create mode 100644 pyomo/contrib/doe/EgReference/farmer_example_block_robby.py create mode 100644 pyomo/contrib/doe/EgReference/farmer_with_references.py create mode 100644 pyomo/contrib/doe/design_of_exp_brute_v2.ipynb create mode 100644 pyomo/contrib/doe/draw_figures.ipynb create mode 100644 pyomo/contrib/doe/fixed_bed_doe.ipynb create mode 100644 pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py create mode 100644 pyomo/contrib/doe/fixed_bed_model_v2.py create mode 100644 pyomo/contrib/doe/interface_slide.py create mode 100644 pyomo/contrib/doe/k_aug.py create mode 100644 pyomo/contrib/doe/kinetics_block.ipynb create mode 100644 pyomo/contrib/doe/optimize.ipynb create mode 100644 pyomo/contrib/doe/otpimize_example.ipynb diff --git a/pyomo/contrib/doe/EgReference/Farmer_problem_block.ipynb b/pyomo/contrib/doe/EgReference/Farmer_problem_block.ipynb new file mode 100644 index 00000000000..0e70f864f37 --- /dev/null +++ b/pyomo/contrib/doe/EgReference/Farmer_problem_block.ipynb @@ -0,0 +1,890 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "66402063", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 0\n", + "Number of nonzeros in inequality constraint Jacobian.: 30\n", + "Number of nonzeros in Lagrangian Hessian.............: 0\n", + "\n", + "Total number of variables............................: 21\n", + " variables with only lower bounds: 18\n", + " variables with lower and upper bounds: 3\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 0\n", + "Total number of inequality constraints...............: 10\n", + " inequality constraints with only lower bounds: 9\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 1\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 7.2199928e+00 2.40e+02 2.02e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 4.0808400e+01 2.40e+02 1.95e+01 -1.0 2.23e+02 - 1.35e-03 1.05e-02h 1\n", + " 2 8.1068853e+01 2.40e+02 1.96e+01 -1.0 1.65e+02 - 9.43e-04 1.26e-03h 1\n", + " 3 2.5320658e+02 2.38e+02 2.02e+01 -1.0 1.59e+02 - 8.28e-04 4.72e-03h 1\n", + " 4 7.9862452e+02 2.35e+02 2.08e+01 -1.0 1.55e+02 - 5.48e-03 1.50e-02h 1\n", + " 5 1.1814513e+03 2.32e+02 2.07e+01 -1.0 1.58e+02 - 7.00e-04 1.29e-02h 1\n", + " 6 1.7936601e+03 2.27e+02 2.04e+01 -1.0 1.55e+02 - 5.91e-03 1.91e-02h 1\n", + " 7 2.1663034e+03 2.24e+02 2.01e+01 -1.0 1.67e+02 - 6.90e-03 1.53e-02h 1\n", + " 8 3.0657799e+03 2.17e+02 1.96e+01 -1.0 1.50e+02 - 1.36e-02 3.01e-02h 1\n", + " 9 2.7790714e+03 2.14e+02 1.95e+01 -1.0 5.10e+02 - 1.39e-04 1.33e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 2.7741141e+03 2.14e+02 1.94e+01 -1.0 1.35e+03 - 8.35e-03 4.44e-05f 1\n", + " 11 4.0528918e+03 2.02e+02 1.86e+01 -1.0 1.64e+02 - 5.02e-03 5.78e-02h 1\n", + " 12 3.2827130e+03 2.02e+02 1.86e+01 -1.0 1.28e+04 - 6.00e-05 8.31e-04f 1\n", + " 13 3.2756802e+03 2.02e+02 1.86e+01 -1.0 2.31e+03 - 8.76e-03 4.77e-05f 1\n", + " 14 3.7304233e+03 1.96e+02 1.81e+01 -1.0 1.69e+02 - 1.90e-02 2.67e-02h 1\n", + " 15 3.1538871e+03 1.87e+02 1.77e+01 -1.0 4.00e+02 - 1.95e-04 4.63e-02f 1\n", + " 16 -1.1904824e+05 1.85e+02 1.76e+01 -1.0 1.32e+05 - 1.12e-04 1.01e-02f 1\n", + " 17 -1.1974257e+05 1.84e+02 1.87e+01 -1.0 1.08e+03 - 2.86e-01 9.16e-03f 1\n", + " 18 -1.0268148e+05 1.29e+02 1.20e+01 -1.0 3.82e+02 - 7.57e-02 2.96e-01h 1\n", + " 19 -8.3324121e+04 6.76e+01 3.11e+01 -1.0 2.71e+02 - 5.22e-02 4.77e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -7.1963616e+04 0.00e+00 6.51e+01 -1.0 1.28e+03 - 6.44e-03 1.00e+00h 1\n", + " 21 -1.0789227e+05 0.00e+00 5.81e+01 -1.0 1.17e+04 - 1.08e-01 3.99e-01f 1\n", + " 22 -1.0826866e+05 0.00e+00 5.08e+01 -1.0 2.01e+02 - 1.26e-01 2.32e-01f 1\n", + " 23 -1.0838047e+05 0.00e+00 5.07e+01 -1.0 6.39e+03 - 2.20e-03 8.99e-03f 1\n", + " 24 -1.0838105e+05 0.00e+00 4.64e+00 -1.0 1.60e+02 - 9.91e-01 1.80e-03f 2\n", + " 25 -1.0838458e+05 0.00e+00 2.07e-04 -1.0 5.73e-01 - 1.00e+00 1.00e+00f 1\n", + " 26 -1.0838985e+05 0.00e+00 2.83e-08 -2.5 2.58e-01 - 1.00e+00 1.00e+00f 1\n", + " 27 -1.0838999e+05 0.00e+00 1.50e-09 -3.8 7.43e-03 - 1.00e+00 1.00e+00f 1\n", + " 28 -1.0839000e+05 0.00e+00 1.85e-11 -5.7 4.03e-04 - 1.00e+00 1.00e+00f 1\n", + " 29 -1.0839000e+05 0.00e+00 4.59e-14 -8.6 5.00e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 29\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -4.1688462535657331e+04 -1.0839000259270905e+05\n", + "Dual infeasibility......: 4.5883353863417448e-14 1.1929672004488534e-13\n", + "Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Complementarity.........: 2.5071227145651819e-09 6.5185190578694721e-09\n", + "Overall NLP error.......: 2.5071227145651819e-09 6.5185190578694721e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 32\n", + "Number of objective gradient evaluations = 30\n", + "Number of equality constraint evaluations = 0\n", + "Number of inequality constraint evaluations = 32\n", + "Number of equality constraint Jacobian evaluations = 0\n", + "Number of inequality constraint Jacobian evaluations = 30\n", + "Number of Lagrangian Hessian evaluations = 29\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.006\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "===Optimal solutions of two-stage stochastic problem with extra index===\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Surface (acres) | 170.0 | 80.0 | 250.0 |\n", + "First stage: s=1 (Above average)\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Yield (T) | 510.0 | 288.0 | 6000.0 |\n", + "Sales (T) | 310.0 | 48.0 | 6000.0 |\n", + "Purchases (T) | 0.0 | 0.0 | - |\n", + "First stage: s=2 (Average average)\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Yield (T) | 425.0 | 240.0 | 5000.0 |\n", + "Sales (T) | 225.0 | 0.0 | 5000.0 |\n", + "Purchases (T) | 0.0 | 0.0 | - |\n", + "First stage: s=3 (Below average)\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Yield (T) | 340.0 | 192.0 | 4000.0 |\n", + "Sales (T) | 140.0 | 0.0 | 4000.0 |\n", + "Purchases (T) | 0.0 | 48.0 | - |\n", + "Overall profit: $ 108390.0\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 0\n", + "Number of nonzeros in inequality constraint Jacobian.: 30\n", + "Number of nonzeros in Lagrangian Hessian.............: 0\n", + "\n", + "Total number of variables............................: 21\n", + " variables with only lower bounds: 18\n", + " variables with lower and upper bounds: 3\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 0\n", + "Total number of inequality constraints...............: 10\n", + " inequality constraints with only lower bounds: 9\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 1\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 7.2199928e+00 2.40e+02 1.69e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 3.7327122e+01 2.40e+02 1.61e+01 -1.0 2.23e+02 - 1.35e-03 1.06e-02h 1\n", + " 2 7.8436875e+01 2.39e+02 1.63e+01 -1.0 1.64e+02 - 9.48e-04 1.30e-03h 1\n", + " 3 2.7458609e+02 2.38e+02 1.72e+01 -1.0 1.56e+02 - 8.02e-04 5.98e-03h 1\n", + " 4 6.8946778e+02 2.35e+02 1.73e+01 -1.0 1.54e+02 - 7.98e-03 1.26e-02h 1\n", + " 5 8.1441962e+02 2.34e+02 1.73e+01 -1.0 1.42e+02 - 5.82e-04 6.03e-03h 1\n", + " 6 1.1075527e+03 2.31e+02 1.70e+01 -1.0 1.43e+02 - 3.64e-02 1.15e-02h 1\n", + " 7 3.2387046e+03 2.12e+02 1.60e+01 -1.0 1.50e+02 - 3.83e-04 8.19e-02h 1\n", + " 8 2.8104646e+03 2.12e+02 1.60e+01 -1.0 2.44e+04 - 1.02e-04 2.40e-04f 1\n", + " 9 2.8078394e+03 2.12e+02 1.59e+01 -1.0 8.25e+02 - 1.70e-02 8.10e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 4.2504541e+03 1.97e+02 1.50e+01 -1.0 1.47e+02 - 3.84e-02 6.84e-02h 1\n", + " 11 5.1955639e+03 1.83e+02 1.48e+01 -1.0 1.47e+02 - 4.01e-04 7.52e-02h 1\n", + " 12 3.3486757e+03 1.82e+02 1.48e+01 -1.0 4.86e+04 - 2.18e-04 7.64e-04f 1\n", + " 13 3.3303976e+03 1.82e+02 1.47e+01 -1.0 9.58e+03 - 5.37e-03 3.93e-05f 1\n", + " 14 -9.3720158e+04 1.39e+02 1.88e+01 -1.0 6.86e+03 - 6.13e-05 2.41e-01f 1\n", + " 15 -9.3885759e+04 1.38e+02 2.17e+01 -1.0 1.52e+03 - 2.41e-01 2.01e-03f 1\n", + " 16 -8.9638058e+04 1.04e+02 1.40e+01 -1.0 1.15e+02 - 3.92e-02 2.46e-01h 1\n", + " 17 -8.5766670e+04 7.46e+01 3.49e+01 -1.0 1.97e+02 - 1.24e-02 2.84e-01h 1\n", + " 18 -1.4019393e+05 4.53e+01 6.10e+01 -1.0 1.50e+04 - 3.90e-03 3.93e-01f 1\n", + " 19 -1.3958902e+05 3.73e+01 1.13e+01 -1.0 3.35e+02 - 7.79e-01 1.76e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.3509667e+05 7.25e+00 1.55e+01 -1.0 3.91e+01 - 2.25e-02 8.06e-01h 1\n", + " 21 -1.3606573e+05 3.23e+00 1.89e+01 -1.0 2.13e+03 - 7.03e-03 5.54e-01f 1\n", + " 22 -1.3586388e+05 1.78e+00 1.36e+00 -1.0 2.64e+01 - 9.88e-01 4.48e-01h 1\n", + " 23 -1.3559532e+05 0.00e+00 3.52e-02 -1.0 3.80e+01 - 8.63e-01 1.00e+00h 1\n", + " 24 -1.3559907e+05 0.00e+00 1.25e-02 -1.7 2.48e+02 - 5.37e-01 1.00e+00f 1\n", + " 25 -1.3559907e+05 0.00e+00 2.65e-03 -1.7 1.54e+02 - 8.29e-01 1.00e+00f 1\n", + " 26 -1.3559987e+05 0.00e+00 2.55e-04 -2.5 1.88e+02 - 8.57e-01 1.00e+00f 1\n", + " 27 -1.3560000e+05 0.00e+00 7.15e-06 -3.8 5.11e+01 - 9.67e-01 1.00e+00f 1\n", + " 28 -1.3560000e+05 0.00e+00 4.38e-08 -5.7 2.41e+01 - 9.85e-01 1.00e+00f 1\n", + " 29 -1.3560000e+05 0.00e+00 1.03e-10 -8.6 1.66e+00 - 9.99e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.3560000e+05 0.00e+00 4.78e-11 -9.0 7.43e+02 - 6.85e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -5.2153846954366199e+04 -1.3560000208135211e+05\n", + "Dual infeasibility......: 4.7762682697793934e-11 1.2418297501426421e-10\n", + "Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Complementarity.........: 5.2124824180516590e-09 1.3552454286934312e-08\n", + "Overall NLP error.......: 5.2124824180516590e-09 1.3552454286934312e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 31\n", + "Number of objective gradient evaluations = 31\n", + "Number of equality constraint evaluations = 0\n", + "Number of inequality constraint evaluations = 31\n", + "Number of equality constraint Jacobian evaluations = 0\n", + "Number of inequality constraint Jacobian evaluations = 31\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.008\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "===Optimal solutions of two-stage stochastic problem with blocks===\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Surface (acres) | 0.0 | 200.0 | 300.0 |\n", + "First stage: s=1 (Above average)\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Yield (T) | 0.0 | 720.0 | 7200.0 |\n", + "Sales (T) | 0.0 | 480.0 | 7200.0 |\n", + "Purchases (T) | 1646.5 | 0.0 | - |\n", + "First stage: s=2 (Average average)\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Yield (T) | 0.0 | 600.0 | 6000.0 |\n", + "Sales (T) | 0.0 | 360.0 | 6000.0 |\n", + "Purchases (T) | 1646.5 | 0.0 | - |\n", + "First stage: s=3 (Below average)\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Yield (T) | 0.0 | 480.0 | 4800.0 |\n", + "Sales (T) | 0.0 | 240.0 | 4800.0 |\n", + "Purchases (T) | 1646.5 | 0.0 | - |\n", + "Overall profit: $ 135600.0\n" + ] + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "from pyomo.core.base.set import UnindexedComponent_set\n", + "from farmer_example_block_robby import build_block_model\n", + "from pyomo.dae.flatten import flatten_components_along_sets" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "19d5e408", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "sets_list: [(,), (,)]\n", + "vars_list: [[, , ], [, , , , , ]]\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 0\n", + "Number of nonzeros in inequality constraint Jacobian.: 30\n", + "Number of nonzeros in Lagrangian Hessian.............: 0\n", + "\n", + "Total number of variables............................: 21\n", + " variables with only lower bounds: 18\n", + " variables with lower and upper bounds: 3\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 0\n", + "Total number of inequality constraints...............: 10\n", + " inequality constraints with only lower bounds: 9\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 1\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 7.2199928e+00 2.40e+02 1.69e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 3.7327122e+01 2.40e+02 1.61e+01 -1.0 2.23e+02 - 1.35e-03 1.06e-02h 1\n", + " 2 7.8436875e+01 2.39e+02 1.63e+01 -1.0 1.64e+02 - 9.48e-04 1.30e-03h 1\n", + " 3 2.7458609e+02 2.38e+02 1.72e+01 -1.0 1.56e+02 - 8.02e-04 5.98e-03h 1\n", + " 4 6.8946778e+02 2.35e+02 1.73e+01 -1.0 1.54e+02 - 7.98e-03 1.26e-02h 1\n", + " 5 8.1441962e+02 2.34e+02 1.73e+01 -1.0 1.42e+02 - 5.82e-04 6.03e-03h 1\n", + " 6 1.1075527e+03 2.31e+02 1.70e+01 -1.0 1.43e+02 - 3.64e-02 1.15e-02h 1\n", + " 7 3.2387046e+03 2.12e+02 1.60e+01 -1.0 1.50e+02 - 3.83e-04 8.19e-02h 1\n", + " 8 2.8104646e+03 2.12e+02 1.60e+01 -1.0 2.44e+04 - 1.02e-04 2.40e-04f 1\n", + " 9 2.8078394e+03 2.12e+02 1.59e+01 -1.0 8.25e+02 - 1.70e-02 8.10e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 4.2504541e+03 1.97e+02 1.50e+01 -1.0 1.47e+02 - 3.84e-02 6.84e-02h 1\n", + " 11 5.1955639e+03 1.83e+02 1.48e+01 -1.0 1.47e+02 - 4.01e-04 7.52e-02h 1\n", + " 12 3.3486757e+03 1.82e+02 1.48e+01 -1.0 4.86e+04 - 2.18e-04 7.64e-04f 1\n", + " 13 3.3303976e+03 1.82e+02 1.47e+01 -1.0 9.58e+03 - 5.37e-03 3.93e-05f 1\n", + " 14 -9.3720158e+04 1.39e+02 1.88e+01 -1.0 6.86e+03 - 6.13e-05 2.41e-01f 1\n", + " 15 -9.3885759e+04 1.38e+02 2.17e+01 -1.0 1.52e+03 - 2.41e-01 2.01e-03f 1\n", + " 16 -8.9638058e+04 1.04e+02 1.40e+01 -1.0 1.15e+02 - 3.92e-02 2.46e-01h 1\n", + " 17 -8.5766670e+04 7.46e+01 3.49e+01 -1.0 1.97e+02 - 1.24e-02 2.84e-01h 1\n", + " 18 -1.4019393e+05 4.53e+01 6.10e+01 -1.0 1.50e+04 - 3.90e-03 3.93e-01f 1\n", + " 19 -1.3958902e+05 3.73e+01 1.13e+01 -1.0 3.35e+02 - 7.79e-01 1.76e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.3509667e+05 7.25e+00 1.55e+01 -1.0 3.91e+01 - 2.25e-02 8.06e-01h 1\n", + " 21 -1.3606573e+05 3.23e+00 1.89e+01 -1.0 2.13e+03 - 7.03e-03 5.54e-01f 1\n", + " 22 -1.3586388e+05 1.78e+00 1.36e+00 -1.0 2.64e+01 - 9.88e-01 4.48e-01h 1\n", + " 23 -1.3559532e+05 0.00e+00 3.52e-02 -1.0 3.80e+01 - 8.63e-01 1.00e+00h 1\n", + " 24 -1.3559907e+05 0.00e+00 1.25e-02 -1.7 2.48e+02 - 5.37e-01 1.00e+00f 1\n", + " 25 -1.3559907e+05 0.00e+00 2.65e-03 -1.7 1.54e+02 - 8.29e-01 1.00e+00f 1\n", + " 26 -1.3559987e+05 0.00e+00 2.55e-04 -2.5 1.88e+02 - 8.57e-01 1.00e+00f 1\n", + " 27 -1.3560000e+05 0.00e+00 7.15e-06 -3.8 5.11e+01 - 9.67e-01 1.00e+00f 1\n", + " 28 -1.3560000e+05 0.00e+00 4.38e-08 -5.7 2.41e+01 - 9.85e-01 1.00e+00f 1\n", + " 29 -1.3560000e+05 0.00e+00 1.03e-10 -8.6 1.66e+00 - 9.99e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.3560000e+05 0.00e+00 4.78e-11 -9.0 7.43e+02 - 6.85e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -5.2153846954366214e+04 -1.3560000208135214e+05\n", + "Dual infeasibility......: 4.7762682697793934e-11 1.2418297501426421e-10\n", + "Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Complementarity.........: 5.2124824180520370e-09 1.3552454286935295e-08\n", + "Overall NLP error.......: 5.2124824180520370e-09 1.3552454286935295e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 31\n", + "Number of objective gradient evaluations = 31\n", + "Number of equality constraint evaluations = 0\n", + "Number of inequality constraint evaluations = 31\n", + "Number of equality constraint Jacobian evaluations = 0\n", + "Number of inequality constraint Jacobian evaluations = 31\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.008\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 0\n", + "Number of nonzeros in inequality constraint Jacobian.: 30\n", + "Number of nonzeros in Lagrangian Hessian.............: 0\n", + "\n", + "Total number of variables............................: 21\n", + " variables with only lower bounds: 18\n", + " variables with lower and upper bounds: 3\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 0\n", + "Total number of inequality constraints...............: 10\n", + " inequality constraints with only lower bounds: 9\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 1\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 7.2199928e+00 2.40e+02 1.69e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 3.7327122e+01 2.40e+02 1.61e+01 -1.0 2.23e+02 - 1.35e-03 1.06e-02h 1\n", + " 2 7.8436875e+01 2.39e+02 1.63e+01 -1.0 1.64e+02 - 9.48e-04 1.30e-03h 1\n", + " 3 2.7458609e+02 2.38e+02 1.72e+01 -1.0 1.56e+02 - 8.02e-04 5.98e-03h 1\n", + " 4 6.8946778e+02 2.35e+02 1.73e+01 -1.0 1.54e+02 - 7.98e-03 1.26e-02h 1\n", + " 5 8.1441962e+02 2.34e+02 1.73e+01 -1.0 1.42e+02 - 5.82e-04 6.03e-03h 1\n", + " 6 1.1075527e+03 2.31e+02 1.70e+01 -1.0 1.43e+02 - 3.64e-02 1.15e-02h 1\n", + " 7 3.2387046e+03 2.12e+02 1.60e+01 -1.0 1.50e+02 - 3.83e-04 8.19e-02h 1\n", + " 8 2.8104646e+03 2.12e+02 1.60e+01 -1.0 2.44e+04 - 1.02e-04 2.40e-04f 1\n", + " 9 2.8078394e+03 2.12e+02 1.59e+01 -1.0 8.25e+02 - 1.70e-02 8.10e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 4.2504541e+03 1.97e+02 1.50e+01 -1.0 1.47e+02 - 3.84e-02 6.84e-02h 1\n", + " 11 5.1955639e+03 1.83e+02 1.48e+01 -1.0 1.47e+02 - 4.01e-04 7.52e-02h 1\n", + " 12 3.3486757e+03 1.82e+02 1.48e+01 -1.0 4.86e+04 - 2.18e-04 7.64e-04f 1\n", + " 13 3.3303976e+03 1.82e+02 1.47e+01 -1.0 9.58e+03 - 5.37e-03 3.93e-05f 1\n", + " 14 -9.3720158e+04 1.39e+02 1.88e+01 -1.0 6.86e+03 - 6.13e-05 2.41e-01f 1\n", + " 15 -9.3885759e+04 1.38e+02 2.17e+01 -1.0 1.52e+03 - 2.41e-01 2.01e-03f 1\n", + " 16 -8.9638058e+04 1.04e+02 1.40e+01 -1.0 1.15e+02 - 3.92e-02 2.46e-01h 1\n", + " 17 -8.5766670e+04 7.46e+01 3.49e+01 -1.0 1.97e+02 - 1.24e-02 2.84e-01h 1\n", + " 18 -1.4019393e+05 4.53e+01 6.10e+01 -1.0 1.50e+04 - 3.90e-03 3.93e-01f 1\n", + " 19 -1.3958902e+05 3.73e+01 1.13e+01 -1.0 3.35e+02 - 7.79e-01 1.76e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.3509667e+05 7.25e+00 1.55e+01 -1.0 3.91e+01 - 2.25e-02 8.06e-01h 1\n", + " 21 -1.3606573e+05 3.23e+00 1.89e+01 -1.0 2.13e+03 - 7.03e-03 5.54e-01f 1\n", + " 22 -1.3586388e+05 1.78e+00 1.36e+00 -1.0 2.64e+01 - 9.88e-01 4.48e-01h 1\n", + " 23 -1.3559532e+05 0.00e+00 3.52e-02 -1.0 3.80e+01 - 8.63e-01 1.00e+00h 1\n", + " 24 -1.3559907e+05 0.00e+00 1.25e-02 -1.7 2.48e+02 - 5.37e-01 1.00e+00f 1\n", + " 25 -1.3559907e+05 0.00e+00 2.65e-03 -1.7 1.54e+02 - 8.29e-01 1.00e+00f 1\n", + " 26 -1.3559987e+05 0.00e+00 2.55e-04 -2.5 1.88e+02 - 8.57e-01 1.00e+00f 1\n", + " 27 -1.3560000e+05 0.00e+00 7.15e-06 -3.8 5.11e+01 - 9.67e-01 1.00e+00f 1\n", + " 28 -1.3560000e+05 0.00e+00 4.38e-08 -5.7 2.41e+01 - 9.85e-01 1.00e+00f 1\n", + " 29 -1.3560000e+05 0.00e+00 1.03e-10 -8.6 1.66e+00 - 9.99e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.3560000e+05 0.00e+00 4.78e-11 -9.0 7.43e+02 - 6.85e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -5.2153846954366199e+04 -1.3560000208135211e+05\n", + "Dual infeasibility......: 4.7762682697793934e-11 1.2418297501426421e-10\n", + "Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Complementarity.........: 5.2124824180516590e-09 1.3552454286934312e-08\n", + "Overall NLP error.......: 5.2124824180516590e-09 1.3552454286934312e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 31\n", + "Number of objective gradient evaluations = 31\n", + "Number of equality constraint evaluations = 0\n", + "Number of inequality constraint evaluations = 31\n", + "Number of equality constraint Jacobian evaluations = 0\n", + "Number of inequality constraint Jacobian evaluations = 31\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.009\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + } + ], + "source": [ + "def only_scenario_indexed():\n", + " yields = [2.5, 3.0, 20.0]\n", + " m = build_block_model(yields)\n", + "\n", + " sets = (m.scenarios,)\n", + " # This partitions model components according to how they are indexed\n", + " sets_list, vars_list = flatten_components_along_sets(\n", + " m,\n", + " sets,\n", + " pyo.Var,\n", + " )\n", + " print('sets_list:', sets_list)\n", + " print('vars_list:', vars_list)\n", + " assert len(sets_list) <= 2\n", + " assert len(vars_list) <= 2\n", + "\n", + " for sets, vars in zip(sets_list, vars_list):\n", + " if len(sets) == 1 and sets[0] is UnindexedComponent_set:\n", + " scalar_vars = vars\n", + " elif len(sets) == 1 and sets[0] is m.scenarios:\n", + " scenario_vars = vars\n", + " else:\n", + " # We only expect two cases here:\n", + " # (a) unindexed\n", + " # (b) indexed by scenario\n", + " raise RuntimeError()\n", + "\n", + " sets_list, cons_list = flatten_components_along_sets(\n", + " m,\n", + " sets,\n", + " pyo.Constraint,\n", + " )\n", + " assert len(sets_list) <= 2\n", + " assert len(sets_list) <= 2\n", + " scenario_cons = []\n", + " for sets, cons in zip(sets_list, cons_list):\n", + " if len(sets) == 1 and sets[0] is UnindexedComponent_set:\n", + " scalar_cons = cons\n", + " elif len(sets) == 1 and sets[0] is m.scenarios:\n", + " scenario_cons = cons\n", + " else:\n", + " # We only expect two cases here:\n", + " # (a) unindexed\n", + " # (b) indexed by scenario\n", + " raise RuntimeError()\n", + "\n", + " # The block hierarchy has been \"flattened.\"\n", + " # Not to be confused with \"flattening\" a high-dimension\n", + " # index set into single-dimension index set.\n", + " flattened_model = pyo.ConcreteModel()\n", + " flattened_model.unindexed_vars = pyo.Reference(scalar_vars)\n", + " for i, var in enumerate(scenario_vars):\n", + " # var is already a reference.\n", + " flattened_model.add_component(\"scenario_var_%s\" % i, var)\n", + "\n", + " flattened_model.unindexed_constraints = pyo.Reference(scalar_cons)\n", + " for i, con in enumerate(scenario_cons):\n", + " flattened_model.add_component(\"scenario_con_%s\" % i, con)\n", + "\n", + " flattened_model.obj = pyo.Reference(m.OBJ)\n", + "\n", + " solver = pyo.SolverFactory(\"ipopt\")\n", + " solver.solve(flattened_model, tee=True)\n", + "\n", + "\n", + "def all_sets():\n", + " yields = [2.5, 3.0, 20.0]\n", + " m = build_block_model(yields)\n", + "\n", + " # It makes sense to build the flattened model ahead of time\n", + " # in this case, so we don't need to know what \"set combinations\"\n", + " # we're looking for a priori\n", + " flattened_model = pyo.ConcreteModel()\n", + "\n", + " sets = tuple(m.component_data_objects(pyo.Set))\n", + " # This partitions model components according to how they are indexed\n", + " sets_list, vars_list = flatten_components_along_sets(\n", + " m,\n", + " sets,\n", + " pyo.Var,\n", + " )\n", + " for i, (sets, vars) in enumerate(zip(sets_list, vars_list)):\n", + " if len(sets) == 1 and sets[0] is UnindexedComponent_set:\n", + " flattened_model.unindexed_vars = pyo.Reference(vars)\n", + " else:\n", + " for j, var in enumerate(vars):\n", + " flattened_model.add_component(\"var_%s_%s\" % (i, j), var)\n", + "\n", + " sets_list, cons_list = flatten_components_along_sets(\n", + " m,\n", + " sets,\n", + " pyo.Constraint,\n", + " )\n", + " for i, (sets, cons) in enumerate(zip(sets_list, cons_list)):\n", + " if len(sets) == 1 and sets[0] is UnindexedComponent_set:\n", + " flattened_model.unindexed_constraints = pyo.Reference(cons)\n", + " else:\n", + " for j, con in enumerate(cons):\n", + " flattened_model.add_component(\"con_%s_%s\" % (i, j), con)\n", + "\n", + " flattened_model.obj = pyo.Reference(m.OBJ)\n", + "\n", + " solver = pyo.SolverFactory(\"ipopt\")\n", + " solver.solve(flattened_model, tee=True)\n", + "\n", + "\n", + "def main():\n", + " only_scenario_indexed()\n", + " all_sets()\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " main()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "bf8b05a7", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'flattened_model' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_9050/4210768227.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mflattened_model\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'flattened_model' is not defined" + ] + } + ], + "source": [ + "print(flattened_model.obj.value())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f1b21074", + "metadata": {}, + "outputs": [], + "source": [ + "def build_sp_model(yields):\n", + " '''\n", + " Code adapted from https://mpi-sppy.readthedocs.io/en/latest/examples.html#examples\n", + " It specifies the extensive form of the two-stage stochastic programming\n", + " \n", + " Arguments:\n", + " yields: Yield information as a list, following the rank [wheat, corn, beets]\n", + " \n", + " Return: \n", + " model: farmer problem model \n", + " '''\n", + " model = ConcreteModel()\n", + " \n", + " all_crops = [\"WHEAT\", \"CORN\", \"BEETS\"]\n", + " purchase_crops = [\"WHEAT\", \"CORN\"]\n", + " sell_crops = [\"WHEAT\", \"CORN\", \"BEETS_FAVORABLE\", \"BEETS_UNFAVORABLE\"]\n", + " scenarios = [\"ABOVE\",\"AVERAGE\",\"BELOW\"]\n", + " \n", + " # Fields allocation\n", + " model.X = Var(all_crops, within=NonNegativeReals)\n", + " # How many tons of crops to purchase in each scenario\n", + " model.Y = Var(purchase_crops, scenarios, within=NonNegativeReals)\n", + " # How many tons of crops to sell in each scenario\n", + " model.W = Var(sell_crops, scenarios, within=NonNegativeReals)\n", + "\n", + " # Objective function\n", + " model.PLANTING_COST = 150 * model.X[\"WHEAT\"] + 230 * model.X[\"CORN\"] + 260 * model.X[\"BEETS\"]\n", + " model.PURCHASE_COST_ABOVE = 238 * model.Y[\"WHEAT\", \"ABOVE\"] + 210 * model.Y[\"CORN\",\"ABOVE\"]\n", + " model.SALES_REVENUE_ABOVE = (\n", + " 170 * model.W[\"WHEAT\", \"ABOVE\"] + 150 * model.W[\"CORN\",\"ABOVE\"]\n", + " + 36 * model.W[\"BEETS_FAVORABLE\",\"ABOVE\"] + 10 * model.W[\"BEETS_UNFAVORABLE\",\"ABOVE\"])\n", + " \n", + " model.PURCHASE_COST_AVE = 238 * model.Y[\"WHEAT\", \"AVERAGE\"] + 210 * model.Y[\"CORN\",\"AVERAGE\"]\n", + " model.SALES_REVENUE_AVE = (\n", + " 170 * model.W[\"WHEAT\", \"AVERAGE\"] + 150 * model.W[\"CORN\",\"AVERAGE\"]\n", + " + 36 * model.W[\"BEETS_FAVORABLE\",\"AVERAGE\"] + 10 * model.W[\"BEETS_UNFAVORABLE\",\"AVERAGE\"])\n", + " \n", + " model.PURCHASE_COST_BELOW = 238 * model.Y[\"WHEAT\", \"BELOW\"] + 210 * model.Y[\"CORN\",\"BELOW\"]\n", + " model.SALES_REVENUE_BELOW = (\n", + " 170 * model.W[\"WHEAT\", \"BELOW\"] + 150 * model.W[\"CORN\",\"BELOW\"]\n", + " + 36 * model.W[\"BEETS_FAVORABLE\",\"BELOW\"] + 10 * model.W[\"BEETS_UNFAVORABLE\",\"BELOW\"])\n", + " \n", + " model.OBJ = Objective(\n", + " expr=model.PLANTING_COST + 1/3*(model.PURCHASE_COST_ABOVE + model.PURCHASE_COST_AVE + model.PURCHASE_COST_BELOW)\n", + " - 1/3*(model.SALES_REVENUE_ABOVE + model.SALES_REVENUE_AVE + model.SALES_REVENUE_BELOW),\n", + " sense=minimize\n", + " )\n", + "\n", + " # Constraints\n", + " model.CONSTR= ConstraintList()\n", + "\n", + " model.CONSTR.add(summation(model.X) <= 500)\n", + " model.CONSTR.add(yields[0] * model.X[\"WHEAT\"] + model.Y[\"WHEAT\",\"AVERAGE\"] - model.W[\"WHEAT\",\"AVERAGE\"] >= 200)\n", + " model.CONSTR.add(yields[0]*1.2 * model.X[\"WHEAT\"] + model.Y[\"WHEAT\",\"ABOVE\"] - model.W[\"WHEAT\",\"ABOVE\"] >= 200)\n", + " model.CONSTR.add(yields[0]*0.8 * model.X[\"WHEAT\"] + model.Y[\"WHEAT\",\"BELOW\"] - model.W[\"WHEAT\",\"BELOW\"] >= 200)\n", + " \n", + " model.CONSTR.add(yields[1] * model.X[\"CORN\"] + model.Y[\"CORN\",\"AVERAGE\"] - model.W[\"CORN\",\"AVERAGE\"] >= 240)\n", + " model.CONSTR.add(yields[1]*1.2 * model.X[\"CORN\"] + model.Y[\"CORN\",\"ABOVE\"] - model.W[\"CORN\",\"ABOVE\"] >= 240)\n", + " model.CONSTR.add(yields[1]*0.8 * model.X[\"CORN\"] + model.Y[\"CORN\",\"BELOW\"] - model.W[\"CORN\",\"BELOW\"] >= 240)\n", + " \n", + " model.CONSTR.add(\n", + " yields[2] * model.X[\"BEETS\"] - model.W[\"BEETS_FAVORABLE\",\"AVERAGE\"] - model.W[\"BEETS_UNFAVORABLE\",\"AVERAGE\"] >= 0\n", + " )\n", + " model.CONSTR.add(\n", + " yields[2]*1.2 * model.X[\"BEETS\"] - model.W[\"BEETS_FAVORABLE\",\"ABOVE\"] - model.W[\"BEETS_UNFAVORABLE\",\"ABOVE\"] >= 0\n", + " )\n", + " model.CONSTR.add(\n", + " yields[2]*0.8 * model.X[\"BEETS\"] - model.W[\"BEETS_FAVORABLE\",\"BELOW\"] - model.W[\"BEETS_UNFAVORABLE\",\"BELOW\"] >= 0\n", + " )\n", + " \n", + " \n", + " model.W[\"BEETS_FAVORABLE\",\"AVERAGE\"].setub(6000)\n", + " model.W[\"BEETS_FAVORABLE\",\"ABOVE\"].setub(6000)\n", + " model.W[\"BEETS_FAVORABLE\",\"BELOW\"].setub(6000)\n", + "\n", + " return model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "73e7b683", + "metadata": {}, + "outputs": [], + "source": [ + "### calculate two-stage stochastic problem\n", + "yields_perfect = [2.5, 3, 20]\n", + "model = build_sp_model(yields_perfect)\n", + "solver = SolverFactory(\"ipopt\")\n", + "solver.solve(model,tee=True)\n", + "\n", + "profit_2stage = -value(model.OBJ)\n", + "\n", + "print(\"===Optimal solutions of two-stage stochastic problem===\")\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Surface (acres) | ', f'{value(model.X[\"WHEAT\"]):.1f}', '|', \n", + " f'{value(model.X[\"CORN\"]):.1f}', ' |',\n", + " f'{value(model.X[\"BEETS\"]):.1f}',' |')\n", + "print('First stage: s=1 (Above average)')\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Yield (T) | ', f'{value(model.X[\"WHEAT\"])*yields_perfect[0]*1.2:.1f}', '|', \n", + " f'{value(model.X[\"CORN\"])*yields_perfect[1]*1.2:.1f}', '|',\n", + " f'{value(model.X[\"BEETS\"])*yields_perfect[2]*1.2:.1f}','|')\n", + "print('Sales (T) | ', f'{value(model.W[\"WHEAT\",\"ABOVE\"]):.1f}', '|', \n", + " f'{value(model.W[\"CORN\",\"ABOVE\"]):.1f}', ' |',\n", + " f'{value(model.W[\"BEETS_FAVORABLE\",\"ABOVE\"]) + value(model.W[\"BEETS_UNFAVORABLE\",\"ABOVE\"]):.1f}','|')\n", + "print('Purchases (T) | ', f'{value(model.Y[\"WHEAT\",\"ABOVE\"]):.1f}', ' |', \n", + " f'{value(model.Y[\"CORN\",\"ABOVE\"]):.1f}', ' |',\n", + " '-',' |')\n", + "\n", + "print('First stage: s=2 (Average average)')\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Yield (T) | ', f'{value(model.X[\"WHEAT\"])*yields_perfect[0]:.1f}', '|', \n", + " f'{value(model.X[\"CORN\"])*yields_perfect[1]:.1f}', '|',\n", + " f'{value(model.X[\"BEETS\"])*yields_perfect[2]:.1f}','|')\n", + "print('Sales (T) | ', f'{value(model.W[\"WHEAT\",\"AVERAGE\"]):.1f}', '|', \n", + " f'{value(model.W[\"CORN\",\"AVERAGE\"]):.1f}', ' |',\n", + " f'{value(model.W[\"BEETS_FAVORABLE\",\"AVERAGE\"]) + value(model.W[\"BEETS_UNFAVORABLE\",\"AVERAGE\"]):.1f}','|')\n", + "print('Purchases (T) | ', f'{value(model.Y[\"WHEAT\",\"AVERAGE\"]):.1f}', ' |', \n", + " f'{value(model.Y[\"CORN\",\"AVERAGE\"]):.1f}', ' |',\n", + " '-',' |')\n", + "\n", + "print('First stage: s=3 (Below average)')\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Yield (T) | ', f'{value(model.X[\"WHEAT\"])*yields_perfect[0]*0.8:.1f}', '|', \n", + " f'{value(model.X[\"CORN\"])*yields_perfect[1]*0.8:.1f}', '|',\n", + " f'{value(model.X[\"BEETS\"])*yields_perfect[2]*0.8:.1f}','|')\n", + "print('Sales (T) | ', f'{value(model.W[\"WHEAT\",\"BELOW\"]):.1f}', '|', \n", + " f'{value(model.W[\"CORN\",\"BELOW\"]):.1f}', ' |',\n", + " f'{value(model.W[\"BEETS_FAVORABLE\",\"BELOW\"]) + value(model.W[\"BEETS_UNFAVORABLE\",\"BELOW\"]):.1f}','|')\n", + "print('Purchases (T) | ', f'{value(model.Y[\"WHEAT\",\"BELOW\"]):.1f}', ' |', \n", + " f'{value(model.Y[\"CORN\",\"BELOW\"]):.1f}', ' |',\n", + " '-',' |')\n", + "print('Overall profit: $',f\"{profit_2stage:.1f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cd96c462", + "metadata": {}, + "outputs": [], + "source": [ + "def build_block_model(yields):\n", + " '''\n", + " Code adapted from https://mpi-sppy.readthedocs.io/en/latest/examples.html#examples\n", + " \n", + " Arguments:\n", + " yields: Yield information as a list, following the rank [wheat, corn, beets]\n", + " \n", + " Return: \n", + " model: farmer problem model \n", + " '''\n", + " model = ConcreteModel()\n", + " \n", + " # Define sets\n", + " all_crops = [\"WHEAT\", \"CORN\", \"BEETS\"]\n", + " purchase_crops = [\"WHEAT\", \"CORN\"]\n", + " sell_crops = [\"WHEAT\", \"CORN\", \"BEETS_FAVORABLE\", \"BEETS_UNFAVORABLE\"]\n", + " \n", + " # define scenario \n", + " scenarios = ['ABOVE','AVERAGE','BELOW']\n", + " \n", + " # Crops field allocation\n", + " model.X = Var(all_crops, within=NonNegativeReals)\n", + "\n", + " def construct_block(b, s):\n", + " b.Y = Var(purchase_crops, within=NonNegativeReals)\n", + " b.W = Var(sell_crops, within=NonNegativeReals)\n", + " \n", + " model.lsb = Block(scenarios, rule=construct_block)\n", + "\n", + " # Objective function\n", + " model.PLANTING_COST = 150 * model.X[\"WHEAT\"] + 230 * model.X[\"CORN\"] + 260 * model.X[\"BEETS\"]\n", + " \n", + " model.PURCHASE_COST = 238*sum(model.lsb[s].W[\"WHEAT\"] for s in scenarios) + 210*sum(model.lsb[s].Y[\"CORN\"] for s in scenarios)\n", + " #model.SALES_REVENUE = (\n", + " # 170*sum(model.lsb[s].W[\"WHEAT\"] for s in scenarios) + 150*sum(model.lsb[s].W[\"CORN\"] for s in scenarios)\n", + " # + 36*sum(model.lsb[s].W[\"BEETS_FAVORABLE\"] for s in scenarios) + 10*sum(model.lsb[s].W[\"BEETS_UNFAVORABLE\"] for s in scenarios)\n", + " #)\n", + " \n", + " model.SALES_REVENUE_ABOVE = (\n", + " 170*model.lsb['ABOVE'].W[\"WHEAT\"] + 150*model.lsb['ABOVE'].W[\"CORN\"]\n", + " + 36*model.lsb['ABOVE'].W[\"BEETS_FAVORABLE\"] + 10*model.lsb['ABOVE'].W[\"BEETS_UNFAVORABLE\"]\n", + " )\n", + " \n", + " model.SALES_REVENUE_AVERAGE = (\n", + " 170*model.lsb['AVERAGE'].W[\"WHEAT\"] + 150*model.lsb['AVERAGE'].W[\"CORN\"]\n", + " + 36*model.lsb['AVERAGE'].W[\"BEETS_FAVORABLE\"] + 10*model.lsb['AVERAGE'].W[\"BEETS_UNFAVORABLE\"]\n", + " )\n", + " \n", + " model.SALES_REVENUE_BELOW = (\n", + " 170*model.lsb['BELOW'].W[\"WHEAT\"] + 150*model.lsb['BELOW'].W[\"CORN\"]\n", + " + 36*model.lsb['BELOW'].W[\"BEETS_FAVORABLE\"] + 10*model.lsb['BELOW'].W[\"BEETS_UNFAVORABLE\"]\n", + " )\n", + " \n", + " # Maximize the Obj is to minimize the negative of the Obj\n", + " #model.OBJ = Objective(\n", + " # expr=model.PLANTING_COST + 1/3*model.PURCHASE_COST - 1/3*model.SALES_REVENUE,sense=minimize)\n", + " \n", + " model.OBJ = Objective(\n", + " expr=model.PLANTING_COST + 1/3*model.PURCHASE_COST - 1/3*(model.SALES_REVENUE_ABOVE + \n", + " model.SALES_REVENUE_AVERAGE+\n", + " model.SALES_REVENUE_BELOW), sense=minimize)\n", + "\n", + "\n", + " # Constraints\n", + " model.CONSTR= ConstraintList()\n", + "\n", + " model.CONSTR.add(summation(model.X) <= 500)\n", + " model.CONSTR.add(yields[0] * model.X[\"WHEAT\"] + model.lsb['AVERAGE'].Y[\"WHEAT\"] - model.lsb['AVERAGE'].W[\"WHEAT\"] >= 200)\n", + " model.CONSTR.add(yields[0]*1.2 * model.X[\"WHEAT\"] + model.lsb['ABOVE'].Y[\"WHEAT\"] - model.lsb['ABOVE'].W[\"WHEAT\"] >= 200)\n", + " model.CONSTR.add(yields[0]*0.8 * model.X[\"WHEAT\"] + model.lsb['BELOW'].Y[\"WHEAT\"] - model.lsb['BELOW'].W[\"WHEAT\"] >= 200)\n", + " \n", + " model.CONSTR.add(yields[1] * model.X[\"CORN\"] + model.lsb['AVERAGE'].Y[\"CORN\"] - model.lsb['AVERAGE'].W[\"CORN\"] >= 240)\n", + " model.CONSTR.add(yields[1]*1.2 * model.X[\"CORN\"] + model.lsb['ABOVE'].Y[\"CORN\"] - model.lsb['ABOVE'].W[\"CORN\"] >= 240)\n", + " model.CONSTR.add(yields[1]*0.8 * model.X[\"CORN\"] + model.lsb['BELOW'].Y[\"CORN\"] - model.lsb['BELOW'].W[\"CORN\"] >= 240)\n", + " \n", + " \n", + " model.CONSTR.add(yields[2] * model.X[\"BEETS\"] - model.lsb['AVERAGE'].W[\"BEETS_FAVORABLE\"] - model.lsb['AVERAGE'].W[\"BEETS_UNFAVORABLE\"] >= 0)\n", + " model.CONSTR.add(yields[2]*1.2 * model.X[\"BEETS\"] - model.lsb['ABOVE'].W[\"BEETS_FAVORABLE\"] - model.lsb['ABOVE'].W[\"BEETS_UNFAVORABLE\"] >= 0)\n", + " model.CONSTR.add(yields[2]*0.8 * model.X[\"BEETS\"] - model.lsb['BELOW'].W[\"BEETS_FAVORABLE\"] - model.lsb['BELOW'].W[\"BEETS_UNFAVORABLE\"] >= 0)\n", + " \n", + " \n", + " #model.CONSTR.add(model.lsb[\"AVERAGE\"].W[\"BEETS_FAVORABLE\"] <= 6000)\n", + " #model.CONSTR.add(model.lsb[\"ABOVE\"].W[\"BEETS_FAVORABLE\"] <= 6000)\n", + " #model.CONSTR.add(model.lsb[\"BELOW\"].W[\"BEETS_FAVORABLE\"] <= 6000)\n", + " \n", + " model.lsb['AVERAGE'].W[\"BEETS_FAVORABLE\"].setub(6000)\n", + " model.lsb['ABOVE'].W[\"BEETS_FAVORABLE\"].setub(6000)\n", + " model.lsb['BELOW'].W[\"BEETS_FAVORABLE\"].setub(6000)\n", + "\n", + " return model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b681a48d", + "metadata": {}, + "outputs": [], + "source": [ + "### calculate two-stage stochastic problem\n", + "yields_perfect = [2.5, 3, 20]\n", + "model = build_block_model(yields_perfect)\n", + "solver = SolverFactory(\"ipopt\")\n", + "solver.solve(model,tee=True)\n", + "\n", + "profit_2stage = -value(model.OBJ)\n", + "\n", + "\n", + "print(\"===Optimal solutions of two-stage stochastic problem===\")\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Surface (acres) | ', f'{value(model.X[\"WHEAT\"]):.1f}', '|', \n", + " f'{value(model.X[\"CORN\"]):.1f}', ' |',\n", + " f'{value(model.X[\"BEETS\"]):.1f}',' |')\n", + "print('First stage: s=1 (Above average)')\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Yield (T) | ', f'{value(model.X[\"WHEAT\"])*yields_perfect[0]*1.2:.1f}', '|', \n", + " f'{value(model.X[\"CORN\"])*yields_perfect[1]*1.2:.1f}', '|',\n", + " f'{value(model.X[\"BEETS\"])*yields_perfect[2]*1.2:.1f}','|')\n", + "\n", + "print('Sales (T) | ', f'{value(model.lsb[\"ABOVE\"].W[\"WHEAT\"]):.1f}', '|', \n", + " f'{value(model.lsb[\"ABOVE\"].W[\"CORN\"]):.1f}', '|',\n", + " f'{value(model.lsb[\"ABOVE\"].W[\"BEETS_FAVORABLE\"]) + value(model.lsb[\"ABOVE\"].W[\"BEETS_UNFAVORABLE\"]):.1f}','|')\n", + "print('Purchases (T) | ', f'{value(model.lsb[\"ABOVE\"].Y[\"WHEAT\"]):.1f}', '|', \n", + " f'{value(model.lsb[\"ABOVE\"].Y[\"CORN\"]):.1f}', ' |',\n", + " '-',' |')\n", + "\n", + "print('First stage: s=2 (Average average)')\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Yield (T) | ', f'{value(model.X[\"WHEAT\"])*yields_perfect[0]:.1f}', '|', \n", + " f'{value(model.X[\"CORN\"])*yields_perfect[1]:.1f}', '|',\n", + " f'{value(model.X[\"BEETS\"])*yields_perfect[2]:.1f}','|')\n", + "print('Sales (T) | ', f'{value(model.lsb[\"AVERAGE\"].W[\"WHEAT\"]):.1f}', '|', \n", + " f'{value(model.lsb[\"AVERAGE\"].W[\"CORN\"]):.1f}', ' |',\n", + " f'{value(model.lsb[\"AVERAGE\"].W[\"BEETS_FAVORABLE\"]) + value(model.lsb[\"AVERAGE\"].W[\"BEETS_UNFAVORABLE\"]):.1f}','|')\n", + "print('Purchases (T) | ', f'{value(model.lsb[\"AVERAGE\"].Y[\"WHEAT\"]):.1f}', ' |', \n", + " f'{value(model.lsb[\"AVERAGE\"].Y[\"CORN\"]):.1f}', ' |',\n", + " '-',' |')\n", + "\n", + "print('First stage: s=3 (Below average)')\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Yield (T) | ', f'{value(model.X[\"WHEAT\"])*yields_perfect[0]*0.8:.1f}', '|', \n", + " f'{value(model.X[\"CORN\"])*yields_perfect[1]*0.8:.1f}', '|',\n", + " f'{value(model.X[\"BEETS\"])*yields_perfect[2]*0.8:.1f}','|')\n", + "print('Sales (T) | ', f'{value(model.lsb[\"BELOW\"].W[\"WHEAT\"]):.1f}', '|', \n", + " f'{value(model.lsb[\"BELOW\"].W[\"CORN\"]):.1f}', ' |',\n", + " f'{value(model.lsb[\"BELOW\"].W[\"BEETS_FAVORABLE\"]) + value(model.lsb[\"BELOW\"].W[\"BEETS_UNFAVORABLE\"]):.1f}','|')\n", + "print('Purchases (T) | ', f'{value(model.lsb[\"BELOW\"].Y[\"WHEAT\"]):.1f}', ' |', \n", + " f'{value(model.lsb[\"BELOW\"].Y[\"CORN\"]):.1f}', ' |',\n", + " '-',' |')\n", + "print('Overall profit: $',f\"{profit_2stage:.1f}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fff595b2", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ebd6d134", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "76147e73", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyomo/contrib/doe/EgReference/farmer_block_reference.ipynb b/pyomo/contrib/doe/EgReference/farmer_block_reference.ipynb new file mode 100644 index 00000000000..a0de7e7035a --- /dev/null +++ b/pyomo/contrib/doe/EgReference/farmer_block_reference.ipynb @@ -0,0 +1,669 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "f33fbb77", + "metadata": {}, + "outputs": [], + "source": [ + "import pyomo.environ as pyo\n", + "from pyomo.core.base.set import UnindexedComponent_set\n", + "#from farmer_example_block_robby import build_block_model\n", + "from pyomo.dae.flatten import flatten_components_along_sets\n", + "from pyomo.environ import *" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9fd210ac", + "metadata": {}, + "outputs": [], + "source": [ + "def build_block_model(yields):\n", + " '''\n", + " Code adapted from https://mpi-sppy.readthedocs.io/en/latest/examples.html#examples\n", + " It defines each scenario as a block \n", + " \n", + " Arguments:\n", + " yields: Yield information as a list, following the rank [wheat, corn, beets]\n", + " \n", + " Return: \n", + " model: farmer problem model \n", + " '''\n", + " model = ConcreteModel()\n", + " \n", + " # Define sets\n", + " model.all_crops = Set(initialize=[\"WHEAT\", \"CORN\", \"BEETS\"])\n", + " model.purchase_crops = Set(initialize=[\"WHEAT\", \"CORN\"])\n", + " model.sell_crops = Set(initialize=[\"WHEAT\", \"CORN\", \"BEETS_FAVORABLE\", \"BEETS_UNFAVORABLE\"])\n", + " \n", + " # define scenario \n", + " model.scenarios = Set(initialize=['ABOVE','AVERAGE','BELOW'])\n", + " \n", + " # Crops field allocation\n", + " model.X = Var(model.all_crops, within=NonNegativeReals)\n", + " model.Y = Var(model.purchase_crops, within=NonNegativeReals)\n", + " model.W = Var(model.sell_crops, within=NonNegativeReals)\n", + "\n", + " def construct_block(b, s):\n", + " b.Y = Var(model.purchase_crops, within=NonNegativeReals)\n", + " b.W = Var(model.sell_crops, within=NonNegativeReals)\n", + " \n", + " model.lsb = Block(model.scenarios, rule=construct_block)\n", + "\n", + " # Objective function\n", + " model.PLANTING_COST = 150 * model.X[\"WHEAT\"] + 230 * model.X[\"CORN\"] + 260 * model.X[\"BEETS\"]\n", + " \n", + " model.PURCHASE_COST = 238*sum(model.lsb[s].W[\"WHEAT\"] for s in model.scenarios) + 210*sum(model.lsb[s].Y[\"CORN\"] for s in model.scenarios)\n", + " \n", + " model.SALES_REVENUE_ABOVE = (\n", + " 170*model.lsb['ABOVE'].W[\"WHEAT\"] + 150*model.lsb['ABOVE'].W[\"CORN\"]\n", + " + 36*model.lsb['ABOVE'].W[\"BEETS_FAVORABLE\"] + 10*model.lsb['ABOVE'].W[\"BEETS_UNFAVORABLE\"]\n", + " )\n", + " \n", + " model.SALES_REVENUE_AVERAGE = (\n", + " 170*model.lsb['AVERAGE'].W[\"WHEAT\"] + 150*model.lsb['AVERAGE'].W[\"CORN\"]\n", + " + 36*model.lsb['AVERAGE'].W[\"BEETS_FAVORABLE\"] + 10*model.lsb['AVERAGE'].W[\"BEETS_UNFAVORABLE\"]\n", + " )\n", + " \n", + " model.SALES_REVENUE_BELOW = (\n", + " 170*model.lsb['BELOW'].W[\"WHEAT\"] + 150*model.lsb['BELOW'].W[\"CORN\"]\n", + " + 36*model.lsb['BELOW'].W[\"BEETS_FAVORABLE\"] + 10*model.lsb['BELOW'].W[\"BEETS_UNFAVORABLE\"]\n", + " )\n", + " \n", + " # Maximize the Obj is to minimize the negative of the Obj\n", + " model.OBJ = Objective(\n", + " expr=model.PLANTING_COST + 1/3*model.PURCHASE_COST - 1/3*(model.SALES_REVENUE_ABOVE + \n", + " model.SALES_REVENUE_AVERAGE+\n", + " model.SALES_REVENUE_BELOW), sense=minimize)\n", + "\n", + "\n", + " # Constraints\n", + " model.CONSTR= ConstraintList()\n", + "\n", + " model.CONSTR.add(summation(model.X) <= 500)\n", + " model.CONSTR.add(yields[0] * model.X[\"WHEAT\"] + model.lsb['AVERAGE'].Y[\"WHEAT\"] - model.lsb['AVERAGE'].W[\"WHEAT\"] >= 200)\n", + " model.CONSTR.add(yields[0]*1.2 * model.X[\"WHEAT\"] + model.lsb['ABOVE'].Y[\"WHEAT\"] - model.lsb['ABOVE'].W[\"WHEAT\"] >= 200)\n", + " model.CONSTR.add(yields[0]*0.8 * model.X[\"WHEAT\"] + model.lsb['BELOW'].Y[\"WHEAT\"] - model.lsb['BELOW'].W[\"WHEAT\"] >= 200)\n", + " \n", + " model.CONSTR.add(yields[1] * model.X[\"CORN\"] + model.lsb['AVERAGE'].Y[\"CORN\"] - model.lsb['AVERAGE'].W[\"CORN\"] >= 240)\n", + " model.CONSTR.add(yields[1]*1.2 * model.X[\"CORN\"] + model.lsb['ABOVE'].Y[\"CORN\"] - model.lsb['ABOVE'].W[\"CORN\"] >= 240)\n", + " model.CONSTR.add(yields[1]*0.8 * model.X[\"CORN\"] + model.lsb['BELOW'].Y[\"CORN\"] - model.lsb['BELOW'].W[\"CORN\"] >= 240)\n", + " \n", + " \n", + " model.CONSTR.add(yields[2] * model.X[\"BEETS\"] - model.lsb['AVERAGE'].W[\"BEETS_FAVORABLE\"] - model.lsb['AVERAGE'].W[\"BEETS_UNFAVORABLE\"] >= 0)\n", + " model.CONSTR.add(yields[2]*1.2 * model.X[\"BEETS\"] - model.lsb['ABOVE'].W[\"BEETS_FAVORABLE\"] - model.lsb['ABOVE'].W[\"BEETS_UNFAVORABLE\"] >= 0)\n", + " model.CONSTR.add(yields[2]*0.8 * model.X[\"BEETS\"] - model.lsb['BELOW'].W[\"BEETS_FAVORABLE\"] - model.lsb['BELOW'].W[\"BEETS_UNFAVORABLE\"] >= 0)\n", + " \n", + " model.lsb['AVERAGE'].W[\"BEETS_FAVORABLE\"].setub(6000)\n", + " model.lsb['ABOVE'].W[\"BEETS_FAVORABLE\"].setub(6000)\n", + " model.lsb['BELOW'].W[\"BEETS_FAVORABLE\"].setub(6000)\n", + "\n", + " return model" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "59efaf2a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "sets_list: [(,), (,)]\n", + "vars_list: [[, , , , , , , , ], [, , , , , ]]\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 0\n", + "Number of nonzeros in inequality constraint Jacobian.: 30\n", + "Number of nonzeros in Lagrangian Hessian.............: 0\n", + "\n", + "Total number of variables............................: 21\n", + " variables with only lower bounds: 18\n", + " variables with lower and upper bounds: 3\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 0\n", + "Total number of inequality constraints...............: 10\n", + " inequality constraints with only lower bounds: 9\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 1\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 7.2199928e+00 2.40e+02 1.69e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 3.7327122e+01 2.40e+02 1.61e+01 -1.0 2.23e+02 - 1.35e-03 1.06e-02h 1\n", + " 2 7.8436875e+01 2.39e+02 1.63e+01 -1.0 1.64e+02 - 9.48e-04 1.30e-03h 1\n", + " 3 2.7458609e+02 2.38e+02 1.72e+01 -1.0 1.56e+02 - 8.02e-04 5.98e-03h 1\n", + " 4 6.8946778e+02 2.35e+02 1.73e+01 -1.0 1.54e+02 - 7.98e-03 1.26e-02h 1\n", + " 5 8.1441962e+02 2.34e+02 1.73e+01 -1.0 1.42e+02 - 5.82e-04 6.03e-03h 1\n", + " 6 1.1075527e+03 2.31e+02 1.70e+01 -1.0 1.43e+02 - 3.64e-02 1.15e-02h 1\n", + " 7 3.2387046e+03 2.12e+02 1.60e+01 -1.0 1.50e+02 - 3.83e-04 8.19e-02h 1\n", + " 8 2.8104646e+03 2.12e+02 1.60e+01 -1.0 2.44e+04 - 1.02e-04 2.40e-04f 1\n", + " 9 2.8078394e+03 2.12e+02 1.59e+01 -1.0 8.25e+02 - 1.70e-02 8.10e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 4.2504541e+03 1.97e+02 1.50e+01 -1.0 1.47e+02 - 3.84e-02 6.84e-02h 1\n", + " 11 5.1955639e+03 1.83e+02 1.48e+01 -1.0 1.47e+02 - 4.01e-04 7.52e-02h 1\n", + " 12 3.3486757e+03 1.82e+02 1.48e+01 -1.0 4.86e+04 - 2.18e-04 7.64e-04f 1\n", + " 13 3.3303976e+03 1.82e+02 1.47e+01 -1.0 9.58e+03 - 5.37e-03 3.93e-05f 1\n", + " 14 -9.3720158e+04 1.39e+02 1.88e+01 -1.0 6.86e+03 - 6.13e-05 2.41e-01f 1\n", + " 15 -9.3885759e+04 1.38e+02 2.17e+01 -1.0 1.52e+03 - 2.41e-01 2.01e-03f 1\n", + " 16 -8.9638058e+04 1.04e+02 1.40e+01 -1.0 1.15e+02 - 3.92e-02 2.46e-01h 1\n", + " 17 -8.5766670e+04 7.46e+01 3.49e+01 -1.0 1.97e+02 - 1.24e-02 2.84e-01h 1\n", + " 18 -1.4019393e+05 4.53e+01 6.10e+01 -1.0 1.50e+04 - 3.90e-03 3.93e-01f 1\n", + " 19 -1.3958902e+05 3.73e+01 1.13e+01 -1.0 3.35e+02 - 7.79e-01 1.76e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.3509667e+05 7.25e+00 1.55e+01 -1.0 3.91e+01 - 2.25e-02 8.06e-01h 1\n", + " 21 -1.3606573e+05 3.23e+00 1.89e+01 -1.0 2.13e+03 - 7.03e-03 5.54e-01f 1\n", + " 22 -1.3586388e+05 1.78e+00 1.36e+00 -1.0 2.64e+01 - 9.88e-01 4.48e-01h 1\n", + " 23 -1.3559532e+05 0.00e+00 3.52e-02 -1.0 3.80e+01 - 8.63e-01 1.00e+00h 1\n", + " 24 -1.3559907e+05 0.00e+00 1.25e-02 -1.7 2.48e+02 - 5.37e-01 1.00e+00f 1\n", + " 25 -1.3559907e+05 0.00e+00 2.65e-03 -1.7 1.54e+02 - 8.29e-01 1.00e+00f 1\n", + " 26 -1.3559987e+05 0.00e+00 2.55e-04 -2.5 1.88e+02 - 8.57e-01 1.00e+00f 1\n", + " 27 -1.3560000e+05 0.00e+00 7.15e-06 -3.8 5.11e+01 - 9.67e-01 1.00e+00f 1\n", + " 28 -1.3560000e+05 0.00e+00 4.38e-08 -5.7 2.41e+01 - 9.85e-01 1.00e+00f 1\n", + " 29 -1.3560000e+05 0.00e+00 1.03e-10 -8.6 1.66e+00 - 9.99e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.3560000e+05 0.00e+00 4.78e-11 -9.0 7.43e+02 - 6.85e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -5.2153846954366214e+04 -1.3560000208135214e+05\n", + "Dual infeasibility......: 4.7762682697793934e-11 1.2418297501426421e-10\n", + "Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Complementarity.........: 5.2124824180520370e-09 1.3552454286935295e-08\n", + "Overall NLP error.......: 5.2124824180520370e-09 1.3552454286935295e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 31\n", + "Number of objective gradient evaluations = 31\n", + "Number of equality constraint evaluations = 0\n", + "Number of inequality constraint evaluations = 31\n", + "Number of equality constraint Jacobian evaluations = 0\n", + "Number of inequality constraint Jacobian evaluations = 31\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.008\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "i is: 0\n", + "sets is: []\n", + "vars is: []\n", + "i is: 1\n", + "sets is: []\n", + "vars is: []\n", + "i is: 2\n", + "sets is: []\n", + "vars is: []\n", + "i is: 3\n", + "sets is: (, )\n", + "vars is: []\n", + "i is: 4\n", + "sets is: (, )\n", + "vars is: []\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 0\n", + "Number of nonzeros in inequality constraint Jacobian.: 30\n", + "Number of nonzeros in Lagrangian Hessian.............: 0\n", + "\n", + "Total number of variables............................: 21\n", + " variables with only lower bounds: 18\n", + " variables with lower and upper bounds: 3\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 0\n", + "Total number of inequality constraints...............: 10\n", + " inequality constraints with only lower bounds: 9\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 1\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 7.2199928e+00 2.40e+02 1.69e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 3.7327122e+01 2.40e+02 1.61e+01 -1.0 2.23e+02 - 1.35e-03 1.06e-02h 1\n", + " 2 7.8436875e+01 2.39e+02 1.63e+01 -1.0 1.64e+02 - 9.48e-04 1.30e-03h 1\n", + " 3 2.7458609e+02 2.38e+02 1.72e+01 -1.0 1.56e+02 - 8.02e-04 5.98e-03h 1\n", + " 4 6.8946778e+02 2.35e+02 1.73e+01 -1.0 1.54e+02 - 7.98e-03 1.26e-02h 1\n", + " 5 8.1441962e+02 2.34e+02 1.73e+01 -1.0 1.42e+02 - 5.82e-04 6.03e-03h 1\n", + " 6 1.1075527e+03 2.31e+02 1.70e+01 -1.0 1.43e+02 - 3.64e-02 1.15e-02h 1\n", + " 7 3.2387046e+03 2.12e+02 1.60e+01 -1.0 1.50e+02 - 3.83e-04 8.19e-02h 1\n", + " 8 2.8104646e+03 2.12e+02 1.60e+01 -1.0 2.44e+04 - 1.02e-04 2.40e-04f 1\n", + " 9 2.8078394e+03 2.12e+02 1.59e+01 -1.0 8.25e+02 - 1.70e-02 8.10e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 4.2504541e+03 1.97e+02 1.50e+01 -1.0 1.47e+02 - 3.84e-02 6.84e-02h 1\n", + " 11 5.1955639e+03 1.83e+02 1.48e+01 -1.0 1.47e+02 - 4.01e-04 7.52e-02h 1\n", + " 12 3.3486757e+03 1.82e+02 1.48e+01 -1.0 4.86e+04 - 2.18e-04 7.64e-04f 1\n", + " 13 3.3303976e+03 1.82e+02 1.47e+01 -1.0 9.58e+03 - 5.37e-03 3.93e-05f 1\n", + " 14 -9.3720158e+04 1.39e+02 1.88e+01 -1.0 6.86e+03 - 6.13e-05 2.41e-01f 1\n", + " 15 -9.3885759e+04 1.38e+02 2.17e+01 -1.0 1.52e+03 - 2.41e-01 2.01e-03f 1\n", + " 16 -8.9638058e+04 1.04e+02 1.40e+01 -1.0 1.15e+02 - 3.92e-02 2.46e-01h 1\n", + " 17 -8.5766670e+04 7.46e+01 3.49e+01 -1.0 1.97e+02 - 1.24e-02 2.84e-01h 1\n", + " 18 -1.4019393e+05 4.53e+01 6.10e+01 -1.0 1.50e+04 - 3.90e-03 3.93e-01f 1\n", + " 19 -1.3958902e+05 3.73e+01 1.13e+01 -1.0 3.35e+02 - 7.79e-01 1.76e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.3509667e+05 7.25e+00 1.55e+01 -1.0 3.91e+01 - 2.25e-02 8.06e-01h 1\n", + " 21 -1.3606573e+05 3.23e+00 1.89e+01 -1.0 2.13e+03 - 7.03e-03 5.54e-01f 1\n", + " 22 -1.3586388e+05 1.78e+00 1.36e+00 -1.0 2.64e+01 - 9.88e-01 4.48e-01h 1\n", + " 23 -1.3559532e+05 0.00e+00 3.52e-02 -1.0 3.80e+01 - 8.63e-01 1.00e+00h 1\n", + " 24 -1.3559907e+05 0.00e+00 1.25e-02 -1.7 2.48e+02 - 5.37e-01 1.00e+00f 1\n", + " 25 -1.3559907e+05 0.00e+00 2.65e-03 -1.7 1.54e+02 - 8.29e-01 1.00e+00f 1\n", + " 26 -1.3559987e+05 0.00e+00 2.55e-04 -2.5 1.88e+02 - 8.57e-01 1.00e+00f 1\n", + " 27 -1.3560000e+05 0.00e+00 7.15e-06 -3.8 5.11e+01 - 9.67e-01 1.00e+00f 1\n", + " 28 -1.3560000e+05 0.00e+00 4.38e-08 -5.7 2.41e+01 - 9.85e-01 1.00e+00f 1\n", + " 29 -1.3560000e+05 0.00e+00 1.03e-10 -8.6 1.66e+00 - 9.99e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.3560000e+05 0.00e+00 4.78e-11 -9.0 7.43e+02 - 6.85e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 30\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -5.2153846954366199e+04 -1.3560000208135211e+05\n", + "Dual infeasibility......: 4.7762682697793934e-11 1.2418297501426421e-10\n", + "Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Complementarity.........: 5.2124824180516590e-09 1.3552454286934312e-08\n", + "Overall NLP error.......: 5.2124824180516590e-09 1.3552454286934312e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 31\n", + "Number of objective gradient evaluations = 31\n", + "Number of equality constraint evaluations = 0\n", + "Number of inequality constraint evaluations = 31\n", + "Number of equality constraint Jacobian evaluations = 0\n", + "Number of inequality constraint Jacobian evaluations = 31\n", + "Number of Lagrangian Hessian evaluations = 30\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.008\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + } + ], + "source": [ + "def only_scenario_indexed():\n", + " yields = [2.5, 3.0, 20.0]\n", + " m = build_block_model(yields)\n", + "\n", + " sets = (m.scenarios,)\n", + " # This partitions model components according to how they are indexed\n", + " sets_list, vars_list = flatten_components_along_sets(\n", + " m,\n", + " sets,\n", + " pyo.Var,\n", + " )\n", + " print('sets_list:', sets_list)\n", + " print('vars_list:', vars_list)\n", + " assert len(sets_list) <= 2\n", + " assert len(vars_list) <= 2\n", + "\n", + " for sets, vars in zip(sets_list, vars_list):\n", + " if len(sets) == 1 and sets[0] is UnindexedComponent_set:\n", + " scalar_vars = vars\n", + " elif len(sets) == 1 and sets[0] is m.scenarios:\n", + " scenario_vars = vars\n", + " else:\n", + " # We only expect two cases here:\n", + " # (a) unindexed\n", + " # (b) indexed by scenario\n", + " raise RuntimeError()\n", + "\n", + " sets_list, cons_list = flatten_components_along_sets(\n", + " m,\n", + " sets,\n", + " pyo.Constraint,\n", + " )\n", + " assert len(sets_list) <= 2\n", + " assert len(sets_list) <= 2\n", + " scenario_cons = []\n", + " for sets, cons in zip(sets_list, cons_list):\n", + " if len(sets) == 1 and sets[0] is UnindexedComponent_set:\n", + " scalar_cons = cons\n", + " elif len(sets) == 1 and sets[0] is m.scenarios:\n", + " scenario_cons = cons\n", + " else:\n", + " # We only expect two cases here:\n", + " # (a) unindexed\n", + " # (b) indexed by scenario\n", + " raise RuntimeError()\n", + "\n", + " # The block hierarchy has been \"flattened.\"\n", + " # Not to be confused with \"flattening\" a high-dimension\n", + " # index set into single-dimension index set.\n", + " flattened_model = pyo.ConcreteModel()\n", + " flattened_model.unindexed_vars = pyo.Reference(scalar_vars)\n", + " for i, var in enumerate(scenario_vars):\n", + " # var is already a reference.\n", + " flattened_model.add_component(\"scenario_var_%s\" % i, var)\n", + "\n", + " flattened_model.unindexed_constraints = pyo.Reference(scalar_cons)\n", + " for i, con in enumerate(scenario_cons):\n", + " flattened_model.add_component(\"scenario_con_%s\" % i, con)\n", + "\n", + " flattened_model.obj = pyo.Reference(m.OBJ)\n", + "\n", + " solver = pyo.SolverFactory(\"ipopt\")\n", + " solver.solve(flattened_model, tee=True)\n", + " \n", + " return m, flattened_model\n", + "\n", + "\n", + "def all_sets():\n", + " yields = [2.5, 3.0, 20.0]\n", + " m = build_block_model(yields)\n", + "\n", + " # It makes sense to build the flattened model ahead of time\n", + " # in this case, so we don't need to know what \"set combinations\"\n", + " # we're looking for a priori\n", + " flattened_model = pyo.ConcreteModel()\n", + "\n", + " sets = tuple(m.component_data_objects(pyo.Set))\n", + " # This partitions model components according to how they are indexed\n", + " sets_list, vars_list = flatten_components_along_sets(\n", + " m,\n", + " sets,\n", + " pyo.Var,\n", + " )\n", + " for i, (sets, vars) in enumerate(zip(sets_list, vars_list)):\n", + " print('i is:', i)\n", + " print('sets is:', sets)\n", + " print('vars is:', vars)\n", + " if len(sets) == 1 and sets[0] is UnindexedComponent_set:\n", + " flattened_model.unindexed_vars = pyo.Reference(vars)\n", + " else:\n", + " for j, var in enumerate(vars):\n", + " flattened_model.add_component(\"var_%s_%s\" % (i, j), var)\n", + "\n", + " sets_list, cons_list = flatten_components_along_sets(\n", + " m,\n", + " sets,\n", + " pyo.Constraint,\n", + " )\n", + " for i, (sets, cons) in enumerate(zip(sets_list, cons_list)):\n", + " if len(sets) == 1 and sets[0] is UnindexedComponent_set:\n", + " flattened_model.unindexed_constraints = pyo.Reference(cons)\n", + " else:\n", + " for j, con in enumerate(cons):\n", + " flattened_model.add_component(\"con_%s_%s\" % (i, j), con)\n", + "\n", + " flattened_model.obj = pyo.Reference(m.OBJ)\n", + "\n", + " solver = pyo.SolverFactory(\"ipopt\")\n", + " solver.solve(flattened_model, tee=True)\n", + " \n", + " return m, flattened_model\n", + "\n", + "\n", + "model, flat1 = only_scenario_indexed()\n", + "model2, flat2 = all_sets()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "41c2461d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.0\n", + "('ABOVE', 'WHEAT')\n", + "('ABOVE', 'CORN')\n", + "('ABOVE', 'BEETS_FAVORABLE')\n", + "('ABOVE', 'BEETS_UNFAVORABLE')\n", + "('AVERAGE', 'WHEAT')\n", + "('AVERAGE', 'CORN')\n", + "('AVERAGE', 'BEETS_FAVORABLE')\n", + "('AVERAGE', 'BEETS_UNFAVORABLE')\n", + "('BELOW', 'WHEAT')\n", + "('BELOW', 'CORN')\n", + "('BELOW', 'BEETS_FAVORABLE')\n", + "('BELOW', 'BEETS_UNFAVORABLE')\n" + ] + } + ], + "source": [ + "#print(value(flat1.scenario_var_0[\"ABOVE\"]))\n", + "print(value(flat2.var_3_0[\"ABOVE\",\"CORN\"]))\n", + "\n", + "for i in flat2.var_4_0_index:\n", + " print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "f47a9151", + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'ConcreteModel' object has no attribute 'Y'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_16330/1769769475.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mflat2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mY\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"CORN\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/pyomo/pyomo/core/base/block.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, val)\u001b[0m\n\u001b[1;32m 519\u001b[0m \u001b[0;31m# Since the base classes don't support getattr, we can just\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 520\u001b[0m \u001b[0;31m# throw the \"normal\" AttributeError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 521\u001b[0;31m raise AttributeError(\"'%s' object has no attribute '%s'\"\n\u001b[0m\u001b[1;32m 522\u001b[0m % (self.__class__.__name__, val))\n\u001b[1;32m 523\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'ConcreteModel' object has no attribute 'Y'" + ] + } + ], + "source": [ + "print(value(flat2.Y[\"CORN\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "69e1c712", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model unknown\n", + "\n", + " Variables:\n", + " var_0_0 : Size=3, Index=all_crops\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " BEETS : 0 : 300.00000299895424 : None : False : False : NonNegativeReals\n", + " CORN : 0 : 200.0000020110286 : None : False : False : NonNegativeReals\n", + " WHEAT : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " var_1_0 : Size=2, Index=purchase_crops\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " CORN : 0 : None : None : False : True : NonNegativeReals\n", + " WHEAT : 0 : None : None : False : True : NonNegativeReals\n", + " var_2_0 : Size=4, Index=sell_crops\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " BEETS_FAVORABLE : 0 : None : None : False : True : NonNegativeReals\n", + " BEETS_UNFAVORABLE : 0 : None : None : False : True : NonNegativeReals\n", + " CORN : 0 : None : None : False : True : NonNegativeReals\n", + " WHEAT : 0 : None : None : False : True : NonNegativeReals\n", + " var_3_0 : Size=6, Index=var_3_0_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " ('ABOVE', 'CORN') : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " ('ABOVE', 'WHEAT') : 0 : 1646.475512594222 : None : False : False : NonNegativeReals\n", + " ('AVERAGE', 'CORN') : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " ('AVERAGE', 'WHEAT') : 0 : 1646.463431866478 : None : False : False : NonNegativeReals\n", + " ('BELOW', 'CORN') : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " ('BELOW', 'WHEAT') : 0 : 1646.4615955380896 : None : False : False : NonNegativeReals\n", + " var_4_0 : Size=12, Index=var_4_0_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " ('ABOVE', 'BEETS_FAVORABLE') : 0 : 6000.0 : 6000 : False : False : NonNegativeReals\n", + " ('ABOVE', 'BEETS_UNFAVORABLE') : 0 : 1200.0000119844656 : None : False : False : NonNegativeReals\n", + " ('ABOVE', 'CORN') : 0 : 480.00000962977384 : None : False : False : NonNegativeReals\n", + " ('ABOVE', 'WHEAT') : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " ('AVERAGE', 'BEETS_FAVORABLE') : 0 : 6000.0 : 6000 : False : False : NonNegativeReals\n", + " ('AVERAGE', 'BEETS_UNFAVORABLE') : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " ('AVERAGE', 'CORN') : 0 : 360.0000084231568 : None : False : False : NonNegativeReals\n", + " ('AVERAGE', 'WHEAT') : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " ('BELOW', 'BEETS_FAVORABLE') : 0 : 4800.000048002798 : 6000 : False : False : NonNegativeReals\n", + " ('BELOW', 'BEETS_UNFAVORABLE') : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " ('BELOW', 'CORN') : 0 : 240.00000721653964 : None : False : False : NonNegativeReals\n", + " ('BELOW', 'WHEAT') : 0 : 0.0 : None : False : False : NonNegativeReals\n", + "\n", + " Objectives:\n", + " obj : Size=1, Index=obj_index, Active=True\n", + " Key : Active : Value\n", + " None : True : -135600.0006371906\n", + "\n", + " Constraints:\n", + " unindexed_constraints : Size=10\n", + " Key : Lower : Body : Upper\n", + " 0 : None : 500.00000500998283 : 500.0\n", + " 1 : 200.0 : 1646.463431866478 : None\n", + " 2 : 200.0 : 1646.475512594222 : None\n", + " 3 : 200.0 : 1646.4615955380896 : None\n", + " 4 : 240.0 : 239.99999760992898 : None\n", + " 5 : 240.0 : 239.99999760992904 : None\n", + " 6 : 240.0 : 239.9999976099291 : None\n", + " 7 : 0.0 : 5.997908465360524e-05 : None\n", + " 8 : 0.0 : 5.9990436739099096e-05 : None\n", + " 9 : 0.0 : -1.953048922587186e-08 : None\n" + ] + } + ], + "source": [ + "#print(value(flat1.lsb[\"ABOVE\"].W[\"CORN\"]))\n", + "#print(value(flat1.W[\"CORN\",\"ABOVE\"]))\n", + "display (flat2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d46af1f", + "metadata": {}, + "outputs": [], + "source": [ + "display(model)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "9527f2c6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "===Optimal solutions of two-stage stochastic problem with blocks===\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Surface (acres) | 0.0 | 200.0 | 300.0 |\n", + "First stage: s=1 (Above average)\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Yield (T) | 0.0 | 720.0 | 7200.0 |\n", + "Sales (T) | 0.0 | 480.0 | 7200.0 |\n", + "Purchases (T) | 1646.5 | 0.0 | - |\n", + "First stage: s=2 (Average average)\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Yield (T) | 0.0 | 600.0 | 6000.0 |\n", + "Sales (T) | 0.0 | 360.0 | 6000.0 |\n", + "Purchases (T) | 1646.5 | 0.0 | - |\n", + "First stage: s=3 (Below average)\n", + "Culture. | Wheat | Corn | Sugar Beets |\n", + "Yield (T) | 0.0 | 480.0 | 4800.0 |\n", + "Sales (T) | 0.0 | 240.0 | 4800.0 |\n", + "Purchases (T) | 1646.5 | 0.0 | - |\n" + ] + } + ], + "source": [ + "yields_perfect = [2.5, 3, 20]\n", + "\n", + "print(\"===Optimal solutions of two-stage stochastic problem with blocks===\")\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Surface (acres) | ', f'{value(model.X[\"WHEAT\"]):.1f}', '|', \n", + " f'{value(model.X[\"CORN\"]):.1f}', ' |',\n", + " f'{value(model.X[\"BEETS\"]):.1f}',' |')\n", + "print('First stage: s=1 (Above average)')\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Yield (T) | ', f'{value(model.X[\"WHEAT\"])*yields_perfect[0]*1.2:.1f}', '|', \n", + " f'{value(model.X[\"CORN\"])*yields_perfect[1]*1.2:.1f}', '|',\n", + " f'{value(model.X[\"BEETS\"])*yields_perfect[2]*1.2:.1f}','|')\n", + "\n", + "print('Sales (T) | ', f'{value(model.lsb[\"ABOVE\"].W[\"WHEAT\"]):.1f}', '|', \n", + " f'{value(model.lsb[\"ABOVE\"].W[\"CORN\"]):.1f}', '|',\n", + " f'{value(model.lsb[\"ABOVE\"].W[\"BEETS_FAVORABLE\"]) + value(model.lsb[\"ABOVE\"].W[\"BEETS_UNFAVORABLE\"]):.1f}','|')\n", + "print('Purchases (T) | ', f'{value(model.lsb[\"ABOVE\"].Y[\"WHEAT\"]):.1f}', '|', \n", + " f'{value(model.lsb[\"ABOVE\"].Y[\"CORN\"]):.1f}', ' |',\n", + " '-',' |')\n", + "\n", + "print('First stage: s=2 (Average average)')\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Yield (T) | ', f'{value(model.X[\"WHEAT\"])*yields_perfect[0]:.1f}', '|', \n", + " f'{value(model.X[\"CORN\"])*yields_perfect[1]:.1f}', '|',\n", + " f'{value(model.X[\"BEETS\"])*yields_perfect[2]:.1f}','|')\n", + "print('Sales (T) | ', f'{value(model.lsb[\"AVERAGE\"].W[\"WHEAT\"]):.1f}', '|', \n", + " f'{value(model.lsb[\"AVERAGE\"].W[\"CORN\"]):.1f}', ' |',\n", + " f'{value(model.lsb[\"AVERAGE\"].W[\"BEETS_FAVORABLE\"]) + value(model.lsb[\"AVERAGE\"].W[\"BEETS_UNFAVORABLE\"]):.1f}','|')\n", + "print('Purchases (T) | ', f'{value(model.lsb[\"AVERAGE\"].Y[\"WHEAT\"]):.1f}', ' |', \n", + " f'{value(model.lsb[\"AVERAGE\"].Y[\"CORN\"]):.1f}', ' |',\n", + " '-',' |')\n", + "\n", + "print('First stage: s=3 (Below average)')\n", + "print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |')\n", + "print('Yield (T) | ', f'{value(model.X[\"WHEAT\"])*yields_perfect[0]*0.8:.1f}', '|', \n", + " f'{value(model.X[\"CORN\"])*yields_perfect[1]*0.8:.1f}', '|',\n", + " f'{value(model.X[\"BEETS\"])*yields_perfect[2]*0.8:.1f}','|')\n", + "print('Sales (T) | ', f'{value(model.lsb[\"BELOW\"].W[\"WHEAT\"]):.1f}', '|', \n", + " f'{value(model.lsb[\"BELOW\"].W[\"CORN\"]):.1f}', ' |',\n", + " f'{value(model.lsb[\"BELOW\"].W[\"BEETS_FAVORABLE\"]) + value(model.lsb[\"BELOW\"].W[\"BEETS_UNFAVORABLE\"]):.1f}','|')\n", + "print('Purchases (T) | ', f'{value(model.lsb[\"BELOW\"].Y[\"WHEAT\"]):.1f}', ' |', \n", + " f'{value(model.lsb[\"BELOW\"].Y[\"CORN\"]):.1f}', ' |',\n", + " '-',' |')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42c61732", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyomo/contrib/doe/EgReference/farmer_example_block.py b/pyomo/contrib/doe/EgReference/farmer_example_block.py new file mode 100644 index 00000000000..a42e43fb78c --- /dev/null +++ b/pyomo/contrib/doe/EgReference/farmer_example_block.py @@ -0,0 +1,263 @@ +import numpy as np +import matplotlib.pyplot as plt +from pyomo.environ import * + +def build_sp_model(yields): + ''' + Code adapted from https://mpi-sppy.readthedocs.io/en/latest/examples.html#examples + It specifies the extensive form of the two-stage stochastic programming with extra index for scenarios + + Arguments: + yields: Yield information as a list, following the rank [wheat, corn, beets] + + Return: + model: farmer problem model + ''' + model = ConcreteModel() + + all_crops = ["WHEAT", "CORN", "BEETS"] + purchase_crops = ["WHEAT", "CORN"] + sell_crops = ["WHEAT", "CORN", "BEETS_FAVORABLE", "BEETS_UNFAVORABLE"] + scenarios = ["ABOVE","AVERAGE","BELOW"] + + # Fields allocation + model.X = Var(all_crops, within=NonNegativeReals) + # How many tons of crops to purchase in each scenario + model.Y = Var(purchase_crops, scenarios, within=NonNegativeReals) + # How many tons of crops to sell in each scenario + model.W = Var(sell_crops, scenarios, within=NonNegativeReals) + + # Objective function + model.PLANTING_COST = 150 * model.X["WHEAT"] + 230 * model.X["CORN"] + 260 * model.X["BEETS"] + model.PURCHASE_COST_ABOVE = 238 * model.Y["WHEAT", "ABOVE"] + 210 * model.Y["CORN","ABOVE"] + model.SALES_REVENUE_ABOVE = ( + 170 * model.W["WHEAT", "ABOVE"] + 150 * model.W["CORN","ABOVE"] + + 36 * model.W["BEETS_FAVORABLE","ABOVE"] + 10 * model.W["BEETS_UNFAVORABLE","ABOVE"]) + + model.PURCHASE_COST_AVE = 238 * model.Y["WHEAT", "AVERAGE"] + 210 * model.Y["CORN","AVERAGE"] + model.SALES_REVENUE_AVE = ( + 170 * model.W["WHEAT", "AVERAGE"] + 150 * model.W["CORN","AVERAGE"] + + 36 * model.W["BEETS_FAVORABLE","AVERAGE"] + 10 * model.W["BEETS_UNFAVORABLE","AVERAGE"]) + + model.PURCHASE_COST_BELOW = 238 * model.Y["WHEAT", "BELOW"] + 210 * model.Y["CORN","BELOW"] + model.SALES_REVENUE_BELOW = ( + 170 * model.W["WHEAT", "BELOW"] + 150 * model.W["CORN","BELOW"] + + 36 * model.W["BEETS_FAVORABLE","BELOW"] + 10 * model.W["BEETS_UNFAVORABLE","BELOW"]) + + model.OBJ = Objective( + expr=model.PLANTING_COST + 1/3*(model.PURCHASE_COST_ABOVE + model.PURCHASE_COST_AVE + model.PURCHASE_COST_BELOW) + - 1/3*(model.SALES_REVENUE_ABOVE + model.SALES_REVENUE_AVE + model.SALES_REVENUE_BELOW), + sense=minimize + ) + + # Constraints + model.CONSTR= ConstraintList() + + model.CONSTR.add(summation(model.X) <= 500) + model.CONSTR.add(yields[0] * model.X["WHEAT"] + model.Y["WHEAT","AVERAGE"] - model.W["WHEAT","AVERAGE"] >= 200) + model.CONSTR.add(yields[0]*1.2 * model.X["WHEAT"] + model.Y["WHEAT","ABOVE"] - model.W["WHEAT","ABOVE"] >= 200) + model.CONSTR.add(yields[0]*0.8 * model.X["WHEAT"] + model.Y["WHEAT","BELOW"] - model.W["WHEAT","BELOW"] >= 200) + + model.CONSTR.add(yields[1] * model.X["CORN"] + model.Y["CORN","AVERAGE"] - model.W["CORN","AVERAGE"] >= 240) + model.CONSTR.add(yields[1]*1.2 * model.X["CORN"] + model.Y["CORN","ABOVE"] - model.W["CORN","ABOVE"] >= 240) + model.CONSTR.add(yields[1]*0.8 * model.X["CORN"] + model.Y["CORN","BELOW"] - model.W["CORN","BELOW"] >= 240) + + model.CONSTR.add( + yields[2] * model.X["BEETS"] - model.W["BEETS_FAVORABLE","AVERAGE"] - model.W["BEETS_UNFAVORABLE","AVERAGE"] >= 0 + ) + model.CONSTR.add( + yields[2]*1.2 * model.X["BEETS"] - model.W["BEETS_FAVORABLE","ABOVE"] - model.W["BEETS_UNFAVORABLE","ABOVE"] >= 0 + ) + model.CONSTR.add( + yields[2]*0.8 * model.X["BEETS"] - model.W["BEETS_FAVORABLE","BELOW"] - model.W["BEETS_UNFAVORABLE","BELOW"] >= 0 + ) + + + model.W["BEETS_FAVORABLE","AVERAGE"].setub(6000) + model.W["BEETS_FAVORABLE","ABOVE"].setub(6000) + model.W["BEETS_FAVORABLE","BELOW"].setub(6000) + + return model + + +def build_block_model(yields): + ''' + Code adapted from https://mpi-sppy.readthedocs.io/en/latest/examples.html#examples + It defines each scenario as a block + + Arguments: + yields: Yield information as a list, following the rank [wheat, corn, beets] + + Return: + model: farmer problem model + ''' + model = ConcreteModel() + + # Define sets + all_crops = ["WHEAT", "CORN", "BEETS"] + purchase_crops = ["WHEAT", "CORN"] + sell_crops = ["WHEAT", "CORN", "BEETS_FAVORABLE", "BEETS_UNFAVORABLE"] + + # define scenario + scenarios = ['ABOVE','AVERAGE','BELOW'] + + # Crops field allocation + model.X = Var(all_crops, within=NonNegativeReals) + + def construct_block(b, s): + b.Y = Var(purchase_crops, within=NonNegativeReals) + b.W = Var(sell_crops, within=NonNegativeReals) + + model.lsb = Block(scenarios, rule=construct_block) + + # Objective function + model.PLANTING_COST = 150 * model.X["WHEAT"] + 230 * model.X["CORN"] + 260 * model.X["BEETS"] + + model.PURCHASE_COST = 238*sum(model.lsb[s].W["WHEAT"] for s in scenarios) + 210*sum(model.lsb[s].Y["CORN"] for s in scenarios) + + model.SALES_REVENUE_ABOVE = ( + 170*model.lsb['ABOVE'].W["WHEAT"] + 150*model.lsb['ABOVE'].W["CORN"] + + 36*model.lsb['ABOVE'].W["BEETS_FAVORABLE"] + 10*model.lsb['ABOVE'].W["BEETS_UNFAVORABLE"] + ) + + model.SALES_REVENUE_AVERAGE = ( + 170*model.lsb['AVERAGE'].W["WHEAT"] + 150*model.lsb['AVERAGE'].W["CORN"] + + 36*model.lsb['AVERAGE'].W["BEETS_FAVORABLE"] + 10*model.lsb['AVERAGE'].W["BEETS_UNFAVORABLE"] + ) + + model.SALES_REVENUE_BELOW = ( + 170*model.lsb['BELOW'].W["WHEAT"] + 150*model.lsb['BELOW'].W["CORN"] + + 36*model.lsb['BELOW'].W["BEETS_FAVORABLE"] + 10*model.lsb['BELOW'].W["BEETS_UNFAVORABLE"] + ) + + # Maximize the Obj is to minimize the negative of the Obj + model.OBJ = Objective( + expr=model.PLANTING_COST + 1/3*model.PURCHASE_COST - 1/3*(model.SALES_REVENUE_ABOVE + + model.SALES_REVENUE_AVERAGE+ + model.SALES_REVENUE_BELOW), sense=minimize) + + + # Constraints + model.CONSTR= ConstraintList() + + model.CONSTR.add(summation(model.X) <= 500) + model.CONSTR.add(yields[0] * model.X["WHEAT"] + model.lsb['AVERAGE'].Y["WHEAT"] - model.lsb['AVERAGE'].W["WHEAT"] >= 200) + model.CONSTR.add(yields[0]*1.2 * model.X["WHEAT"] + model.lsb['ABOVE'].Y["WHEAT"] - model.lsb['ABOVE'].W["WHEAT"] >= 200) + model.CONSTR.add(yields[0]*0.8 * model.X["WHEAT"] + model.lsb['BELOW'].Y["WHEAT"] - model.lsb['BELOW'].W["WHEAT"] >= 200) + + model.CONSTR.add(yields[1] * model.X["CORN"] + model.lsb['AVERAGE'].Y["CORN"] - model.lsb['AVERAGE'].W["CORN"] >= 240) + model.CONSTR.add(yields[1]*1.2 * model.X["CORN"] + model.lsb['ABOVE'].Y["CORN"] - model.lsb['ABOVE'].W["CORN"] >= 240) + model.CONSTR.add(yields[1]*0.8 * model.X["CORN"] + model.lsb['BELOW'].Y["CORN"] - model.lsb['BELOW'].W["CORN"] >= 240) + + + model.CONSTR.add(yields[2] * model.X["BEETS"] - model.lsb['AVERAGE'].W["BEETS_FAVORABLE"] - model.lsb['AVERAGE'].W["BEETS_UNFAVORABLE"] >= 0) + model.CONSTR.add(yields[2]*1.2 * model.X["BEETS"] - model.lsb['ABOVE'].W["BEETS_FAVORABLE"] - model.lsb['ABOVE'].W["BEETS_UNFAVORABLE"] >= 0) + model.CONSTR.add(yields[2]*0.8 * model.X["BEETS"] - model.lsb['BELOW'].W["BEETS_FAVORABLE"] - model.lsb['BELOW'].W["BEETS_UNFAVORABLE"] >= 0) + + model.lsb['AVERAGE'].W["BEETS_FAVORABLE"].setub(6000) + model.lsb['ABOVE'].W["BEETS_FAVORABLE"].setub(6000) + model.lsb['BELOW'].W["BEETS_FAVORABLE"].setub(6000) + + return model + +### calculate two-stage stochastic problem +yields_perfect = [2.5, 3, 20] +model = build_sp_model(yields_perfect) +solver = SolverFactory("ipopt") +solver.solve(model,tee=True) + +profit_2stage = -value(model.OBJ) + +print("===Optimal solutions of two-stage stochastic problem with extra index===") +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Surface (acres) | ', f'{value(model.X["WHEAT"]):.1f}', '|', + f'{value(model.X["CORN"]):.1f}', ' |', + f'{value(model.X["BEETS"]):.1f}',' |') +print('First stage: s=1 (Above average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]*1.2:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]*1.2:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]*1.2:.1f}','|') +print('Sales (T) | ', f'{value(model.W["WHEAT","ABOVE"]):.1f}', '|', + f'{value(model.W["CORN","ABOVE"]):.1f}', ' |', + f'{value(model.W["BEETS_FAVORABLE","ABOVE"]) + value(model.W["BEETS_UNFAVORABLE","ABOVE"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.Y["WHEAT","ABOVE"]):.1f}', ' |', + f'{value(model.Y["CORN","ABOVE"]):.1f}', ' |', + '-',' |') + +print('First stage: s=2 (Average average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]:.1f}','|') +print('Sales (T) | ', f'{value(model.W["WHEAT","AVERAGE"]):.1f}', '|', + f'{value(model.W["CORN","AVERAGE"]):.1f}', ' |', + f'{value(model.W["BEETS_FAVORABLE","AVERAGE"]) + value(model.W["BEETS_UNFAVORABLE","AVERAGE"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.Y["WHEAT","AVERAGE"]):.1f}', ' |', + f'{value(model.Y["CORN","AVERAGE"]):.1f}', ' |', + '-',' |') + +print('First stage: s=3 (Below average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]*0.8:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]*0.8:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]*0.8:.1f}','|') +print('Sales (T) | ', f'{value(model.W["WHEAT","BELOW"]):.1f}', '|', + f'{value(model.W["CORN","BELOW"]):.1f}', ' |', + f'{value(model.W["BEETS_FAVORABLE","BELOW"]) + value(model.W["BEETS_UNFAVORABLE","BELOW"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.Y["WHEAT","BELOW"]):.1f}', ' |', + f'{value(model.Y["CORN","BELOW"]):.1f}', ' |', + '-',' |') +print('Overall profit: $',f"{profit_2stage:.1f}") + +### calculate two-stage stochastic problem +yields_perfect = [2.5, 3, 20] +model = build_block_model(yields_perfect) +solver = SolverFactory("ipopt") +solver.solve(model,tee=True) + +profit_2stage = -value(model.OBJ) + + +print("===Optimal solutions of two-stage stochastic problem with blocks===") +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Surface (acres) | ', f'{value(model.X["WHEAT"]):.1f}', '|', + f'{value(model.X["CORN"]):.1f}', ' |', + f'{value(model.X["BEETS"]):.1f}',' |') +print('First stage: s=1 (Above average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]*1.2:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]*1.2:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]*1.2:.1f}','|') + +print('Sales (T) | ', f'{value(model.lsb["ABOVE"].W["WHEAT"]):.1f}', '|', + f'{value(model.lsb["ABOVE"].W["CORN"]):.1f}', '|', + f'{value(model.lsb["ABOVE"].W["BEETS_FAVORABLE"]) + value(model.lsb["ABOVE"].W["BEETS_UNFAVORABLE"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.lsb["ABOVE"].Y["WHEAT"]):.1f}', '|', + f'{value(model.lsb["ABOVE"].Y["CORN"]):.1f}', ' |', + '-',' |') + +print('First stage: s=2 (Average average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]:.1f}','|') +print('Sales (T) | ', f'{value(model.lsb["AVERAGE"].W["WHEAT"]):.1f}', '|', + f'{value(model.lsb["AVERAGE"].W["CORN"]):.1f}', ' |', + f'{value(model.lsb["AVERAGE"].W["BEETS_FAVORABLE"]) + value(model.lsb["AVERAGE"].W["BEETS_UNFAVORABLE"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.lsb["AVERAGE"].Y["WHEAT"]):.1f}', ' |', + f'{value(model.lsb["AVERAGE"].Y["CORN"]):.1f}', ' |', + '-',' |') + +print('First stage: s=3 (Below average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]*0.8:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]*0.8:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]*0.8:.1f}','|') +print('Sales (T) | ', f'{value(model.lsb["BELOW"].W["WHEAT"]):.1f}', '|', + f'{value(model.lsb["BELOW"].W["CORN"]):.1f}', ' |', + f'{value(model.lsb["BELOW"].W["BEETS_FAVORABLE"]) + value(model.lsb["BELOW"].W["BEETS_UNFAVORABLE"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.lsb["BELOW"].Y["WHEAT"]):.1f}', ' |', + f'{value(model.lsb["BELOW"].Y["CORN"]):.1f}', ' |', + '-',' |') +print('Overall profit: $',f"{profit_2stage:.1f}") diff --git a/pyomo/contrib/doe/EgReference/farmer_example_block_robby.py b/pyomo/contrib/doe/EgReference/farmer_example_block_robby.py new file mode 100644 index 00000000000..af44fe1f3fb --- /dev/null +++ b/pyomo/contrib/doe/EgReference/farmer_example_block_robby.py @@ -0,0 +1,263 @@ +import numpy as np +import matplotlib.pyplot as plt +from pyomo.environ import * + +def build_sp_model(yields): + ''' + Code adapted from https://mpi-sppy.readthedocs.io/en/latest/examples.html#examples + It specifies the extensive form of the two-stage stochastic programming with extra index for scenarios + + Arguments: + yields: Yield information as a list, following the rank [wheat, corn, beets] + + Return: + model: farmer problem model + ''' + model = ConcreteModel() + + all_crops = ["WHEAT", "CORN", "BEETS"] + purchase_crops = ["WHEAT", "CORN"] + sell_crops = ["WHEAT", "CORN", "BEETS_FAVORABLE", "BEETS_UNFAVORABLE"] + scenarios = ["ABOVE","AVERAGE","BELOW"] + + # Fields allocation + model.X = Var(all_crops, within=NonNegativeReals) + # How many tons of crops to purchase in each scenario + model.Y = Var(purchase_crops, scenarios, within=NonNegativeReals) + # How many tons of crops to sell in each scenario + model.W = Var(sell_crops, scenarios, within=NonNegativeReals) + + # Objective function + model.PLANTING_COST = 150 * model.X["WHEAT"] + 230 * model.X["CORN"] + 260 * model.X["BEETS"] + model.PURCHASE_COST_ABOVE = 238 * model.Y["WHEAT", "ABOVE"] + 210 * model.Y["CORN","ABOVE"] + model.SALES_REVENUE_ABOVE = ( + 170 * model.W["WHEAT", "ABOVE"] + 150 * model.W["CORN","ABOVE"] + + 36 * model.W["BEETS_FAVORABLE","ABOVE"] + 10 * model.W["BEETS_UNFAVORABLE","ABOVE"]) + + model.PURCHASE_COST_AVE = 238 * model.Y["WHEAT", "AVERAGE"] + 210 * model.Y["CORN","AVERAGE"] + model.SALES_REVENUE_AVE = ( + 170 * model.W["WHEAT", "AVERAGE"] + 150 * model.W["CORN","AVERAGE"] + + 36 * model.W["BEETS_FAVORABLE","AVERAGE"] + 10 * model.W["BEETS_UNFAVORABLE","AVERAGE"]) + + model.PURCHASE_COST_BELOW = 238 * model.Y["WHEAT", "BELOW"] + 210 * model.Y["CORN","BELOW"] + model.SALES_REVENUE_BELOW = ( + 170 * model.W["WHEAT", "BELOW"] + 150 * model.W["CORN","BELOW"] + + 36 * model.W["BEETS_FAVORABLE","BELOW"] + 10 * model.W["BEETS_UNFAVORABLE","BELOW"]) + + model.OBJ = Objective( + expr=model.PLANTING_COST + 1/3*(model.PURCHASE_COST_ABOVE + model.PURCHASE_COST_AVE + model.PURCHASE_COST_BELOW) + - 1/3*(model.SALES_REVENUE_ABOVE + model.SALES_REVENUE_AVE + model.SALES_REVENUE_BELOW), + sense=minimize + ) + + # Constraints + model.CONSTR= ConstraintList() + + model.CONSTR.add(summation(model.X) <= 500) + model.CONSTR.add(yields[0] * model.X["WHEAT"] + model.Y["WHEAT","AVERAGE"] - model.W["WHEAT","AVERAGE"] >= 200) + model.CONSTR.add(yields[0]*1.2 * model.X["WHEAT"] + model.Y["WHEAT","ABOVE"] - model.W["WHEAT","ABOVE"] >= 200) + model.CONSTR.add(yields[0]*0.8 * model.X["WHEAT"] + model.Y["WHEAT","BELOW"] - model.W["WHEAT","BELOW"] >= 200) + + model.CONSTR.add(yields[1] * model.X["CORN"] + model.Y["CORN","AVERAGE"] - model.W["CORN","AVERAGE"] >= 240) + model.CONSTR.add(yields[1]*1.2 * model.X["CORN"] + model.Y["CORN","ABOVE"] - model.W["CORN","ABOVE"] >= 240) + model.CONSTR.add(yields[1]*0.8 * model.X["CORN"] + model.Y["CORN","BELOW"] - model.W["CORN","BELOW"] >= 240) + + model.CONSTR.add( + yields[2] * model.X["BEETS"] - model.W["BEETS_FAVORABLE","AVERAGE"] - model.W["BEETS_UNFAVORABLE","AVERAGE"] >= 0 + ) + model.CONSTR.add( + yields[2]*1.2 * model.X["BEETS"] - model.W["BEETS_FAVORABLE","ABOVE"] - model.W["BEETS_UNFAVORABLE","ABOVE"] >= 0 + ) + model.CONSTR.add( + yields[2]*0.8 * model.X["BEETS"] - model.W["BEETS_FAVORABLE","BELOW"] - model.W["BEETS_UNFAVORABLE","BELOW"] >= 0 + ) + + + model.W["BEETS_FAVORABLE","AVERAGE"].setub(6000) + model.W["BEETS_FAVORABLE","ABOVE"].setub(6000) + model.W["BEETS_FAVORABLE","BELOW"].setub(6000) + + return model + + +def build_block_model(yields): + ''' + Code adapted from https://mpi-sppy.readthedocs.io/en/latest/examples.html#examples + It defines each scenario as a block + + Arguments: + yields: Yield information as a list, following the rank [wheat, corn, beets] + + Return: + model: farmer problem model + ''' + model = ConcreteModel() + + # Define sets + model.all_crops = Set(initialize=["WHEAT", "CORN", "BEETS"]) + model.purchase_crops = Set(initialize=["WHEAT", "CORN"]) + model.sell_crops = Set(initialize=["WHEAT", "CORN", "BEETS_FAVORABLE", "BEETS_UNFAVORABLE"]) + + # define scenario + model.scenarios = Set(initialize=['ABOVE','AVERAGE','BELOW']) + + # Crops field allocation + model.X = Var(model.all_crops, within=NonNegativeReals) + + def construct_block(b, s): + b.Y = Var(model.purchase_crops, within=NonNegativeReals) + b.W = Var(model.sell_crops, within=NonNegativeReals) + + model.lsb = Block(model.scenarios, rule=construct_block) + + # Objective function + model.PLANTING_COST = 150 * model.X["WHEAT"] + 230 * model.X["CORN"] + 260 * model.X["BEETS"] + + model.PURCHASE_COST = 238*sum(model.lsb[s].W["WHEAT"] for s in model.scenarios) + 210*sum(model.lsb[s].Y["CORN"] for s in model.scenarios) + + model.SALES_REVENUE_ABOVE = ( + 170*model.lsb['ABOVE'].W["WHEAT"] + 150*model.lsb['ABOVE'].W["CORN"] + + 36*model.lsb['ABOVE'].W["BEETS_FAVORABLE"] + 10*model.lsb['ABOVE'].W["BEETS_UNFAVORABLE"] + ) + + model.SALES_REVENUE_AVERAGE = ( + 170*model.lsb['AVERAGE'].W["WHEAT"] + 150*model.lsb['AVERAGE'].W["CORN"] + + 36*model.lsb['AVERAGE'].W["BEETS_FAVORABLE"] + 10*model.lsb['AVERAGE'].W["BEETS_UNFAVORABLE"] + ) + + model.SALES_REVENUE_BELOW = ( + 170*model.lsb['BELOW'].W["WHEAT"] + 150*model.lsb['BELOW'].W["CORN"] + + 36*model.lsb['BELOW'].W["BEETS_FAVORABLE"] + 10*model.lsb['BELOW'].W["BEETS_UNFAVORABLE"] + ) + + # Maximize the Obj is to minimize the negative of the Obj + model.OBJ = Objective( + expr=model.PLANTING_COST + 1/3*model.PURCHASE_COST - 1/3*(model.SALES_REVENUE_ABOVE + + model.SALES_REVENUE_AVERAGE+ + model.SALES_REVENUE_BELOW), sense=minimize) + + + # Constraints + model.CONSTR= ConstraintList() + + model.CONSTR.add(summation(model.X) <= 500) + model.CONSTR.add(yields[0] * model.X["WHEAT"] + model.lsb['AVERAGE'].Y["WHEAT"] - model.lsb['AVERAGE'].W["WHEAT"] >= 200) + model.CONSTR.add(yields[0]*1.2 * model.X["WHEAT"] + model.lsb['ABOVE'].Y["WHEAT"] - model.lsb['ABOVE'].W["WHEAT"] >= 200) + model.CONSTR.add(yields[0]*0.8 * model.X["WHEAT"] + model.lsb['BELOW'].Y["WHEAT"] - model.lsb['BELOW'].W["WHEAT"] >= 200) + + model.CONSTR.add(yields[1] * model.X["CORN"] + model.lsb['AVERAGE'].Y["CORN"] - model.lsb['AVERAGE'].W["CORN"] >= 240) + model.CONSTR.add(yields[1]*1.2 * model.X["CORN"] + model.lsb['ABOVE'].Y["CORN"] - model.lsb['ABOVE'].W["CORN"] >= 240) + model.CONSTR.add(yields[1]*0.8 * model.X["CORN"] + model.lsb['BELOW'].Y["CORN"] - model.lsb['BELOW'].W["CORN"] >= 240) + + + model.CONSTR.add(yields[2] * model.X["BEETS"] - model.lsb['AVERAGE'].W["BEETS_FAVORABLE"] - model.lsb['AVERAGE'].W["BEETS_UNFAVORABLE"] >= 0) + model.CONSTR.add(yields[2]*1.2 * model.X["BEETS"] - model.lsb['ABOVE'].W["BEETS_FAVORABLE"] - model.lsb['ABOVE'].W["BEETS_UNFAVORABLE"] >= 0) + model.CONSTR.add(yields[2]*0.8 * model.X["BEETS"] - model.lsb['BELOW'].W["BEETS_FAVORABLE"] - model.lsb['BELOW'].W["BEETS_UNFAVORABLE"] >= 0) + + model.lsb['AVERAGE'].W["BEETS_FAVORABLE"].setub(6000) + model.lsb['ABOVE'].W["BEETS_FAVORABLE"].setub(6000) + model.lsb['BELOW'].W["BEETS_FAVORABLE"].setub(6000) + + return model + +### calculate two-stage stochastic problem +yields_perfect = [2.5, 3, 20] +model = build_sp_model(yields_perfect) +solver = SolverFactory("ipopt") +solver.solve(model,tee=True) + +profit_2stage = -value(model.OBJ) + +print("===Optimal solutions of two-stage stochastic problem with extra index===") +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Surface (acres) | ', f'{value(model.X["WHEAT"]):.1f}', '|', + f'{value(model.X["CORN"]):.1f}', ' |', + f'{value(model.X["BEETS"]):.1f}',' |') +print('First stage: s=1 (Above average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]*1.2:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]*1.2:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]*1.2:.1f}','|') +print('Sales (T) | ', f'{value(model.W["WHEAT","ABOVE"]):.1f}', '|', + f'{value(model.W["CORN","ABOVE"]):.1f}', ' |', + f'{value(model.W["BEETS_FAVORABLE","ABOVE"]) + value(model.W["BEETS_UNFAVORABLE","ABOVE"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.Y["WHEAT","ABOVE"]):.1f}', ' |', + f'{value(model.Y["CORN","ABOVE"]):.1f}', ' |', + '-',' |') + +print('First stage: s=2 (Average average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]:.1f}','|') +print('Sales (T) | ', f'{value(model.W["WHEAT","AVERAGE"]):.1f}', '|', + f'{value(model.W["CORN","AVERAGE"]):.1f}', ' |', + f'{value(model.W["BEETS_FAVORABLE","AVERAGE"]) + value(model.W["BEETS_UNFAVORABLE","AVERAGE"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.Y["WHEAT","AVERAGE"]):.1f}', ' |', + f'{value(model.Y["CORN","AVERAGE"]):.1f}', ' |', + '-',' |') + +print('First stage: s=3 (Below average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]*0.8:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]*0.8:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]*0.8:.1f}','|') +print('Sales (T) | ', f'{value(model.W["WHEAT","BELOW"]):.1f}', '|', + f'{value(model.W["CORN","BELOW"]):.1f}', ' |', + f'{value(model.W["BEETS_FAVORABLE","BELOW"]) + value(model.W["BEETS_UNFAVORABLE","BELOW"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.Y["WHEAT","BELOW"]):.1f}', ' |', + f'{value(model.Y["CORN","BELOW"]):.1f}', ' |', + '-',' |') +print('Overall profit: $',f"{profit_2stage:.1f}") + +### calculate two-stage stochastic problem +yields_perfect = [2.5, 3, 20] +model = build_block_model(yields_perfect) +solver = SolverFactory("ipopt") +solver.solve(model,tee=True) + +profit_2stage = -value(model.OBJ) + + +print("===Optimal solutions of two-stage stochastic problem with blocks===") +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Surface (acres) | ', f'{value(model.X["WHEAT"]):.1f}', '|', + f'{value(model.X["CORN"]):.1f}', ' |', + f'{value(model.X["BEETS"]):.1f}',' |') +print('First stage: s=1 (Above average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]*1.2:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]*1.2:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]*1.2:.1f}','|') + +print('Sales (T) | ', f'{value(model.lsb["ABOVE"].W["WHEAT"]):.1f}', '|', + f'{value(model.lsb["ABOVE"].W["CORN"]):.1f}', '|', + f'{value(model.lsb["ABOVE"].W["BEETS_FAVORABLE"]) + value(model.lsb["ABOVE"].W["BEETS_UNFAVORABLE"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.lsb["ABOVE"].Y["WHEAT"]):.1f}', '|', + f'{value(model.lsb["ABOVE"].Y["CORN"]):.1f}', ' |', + '-',' |') + +print('First stage: s=2 (Average average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]:.1f}','|') +print('Sales (T) | ', f'{value(model.lsb["AVERAGE"].W["WHEAT"]):.1f}', '|', + f'{value(model.lsb["AVERAGE"].W["CORN"]):.1f}', ' |', + f'{value(model.lsb["AVERAGE"].W["BEETS_FAVORABLE"]) + value(model.lsb["AVERAGE"].W["BEETS_UNFAVORABLE"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.lsb["AVERAGE"].Y["WHEAT"]):.1f}', ' |', + f'{value(model.lsb["AVERAGE"].Y["CORN"]):.1f}', ' |', + '-',' |') + +print('First stage: s=3 (Below average)') +print('Culture. | ', 'Wheat |', 'Corn |', 'Sugar Beets |') +print('Yield (T) | ', f'{value(model.X["WHEAT"])*yields_perfect[0]*0.8:.1f}', '|', + f'{value(model.X["CORN"])*yields_perfect[1]*0.8:.1f}', '|', + f'{value(model.X["BEETS"])*yields_perfect[2]*0.8:.1f}','|') +print('Sales (T) | ', f'{value(model.lsb["BELOW"].W["WHEAT"]):.1f}', '|', + f'{value(model.lsb["BELOW"].W["CORN"]):.1f}', ' |', + f'{value(model.lsb["BELOW"].W["BEETS_FAVORABLE"]) + value(model.lsb["BELOW"].W["BEETS_UNFAVORABLE"]):.1f}','|') +print('Purchases (T) | ', f'{value(model.lsb["BELOW"].Y["WHEAT"]):.1f}', ' |', + f'{value(model.lsb["BELOW"].Y["CORN"]):.1f}', ' |', + '-',' |') +print('Overall profit: $',f"{profit_2stage:.1f}") diff --git a/pyomo/contrib/doe/EgReference/farmer_with_references.py b/pyomo/contrib/doe/EgReference/farmer_with_references.py new file mode 100644 index 00000000000..1d153a9e268 --- /dev/null +++ b/pyomo/contrib/doe/EgReference/farmer_with_references.py @@ -0,0 +1,116 @@ +import pyomo.environ as pyo +from pyomo.core.base.set import UnindexedComponent_set +from farmer_example_block import build_block_model +from pyomo.dae.flatten import flatten_components_along_sets + +def only_scenario_indexed(): + yields = [2.5, 3.0, 20.0] + m = build_block_model(yields) + + sets = (m.scenarios,) + # This partitions model components according to how they are indexed + sets_list, vars_list = flatten_components_along_sets( + m, + sets, + pyo.Var, + ) + assert len(sets_list) <= 2 + assert len(vars_list) <= 2 + + for sets, vars in zip(sets_list, vars_list): + if len(sets) == 1 and sets[0] is UnindexedComponent_set: + scalar_vars = vars + elif len(sets) == 1 and sets[0] is m.scenarios: + scenario_vars = vars + else: + # We only expect two cases here: + # (a) unindexed + # (b) indexed by scenario + raise RuntimeError() + + sets_list, cons_list = flatten_components_along_sets( + m, + sets, + pyo.Constraint, + ) + assert len(sets_list) <= 2 + assert len(sets_list) <= 2 + scenario_cons = [] + for sets, cons in zip(sets_list, cons_list): + if len(sets) == 1 and sets[0] is UnindexedComponent_set: + scalar_cons = cons + elif len(sets) == 1 and sets[0] is m.scenarios: + scenario_cons = cons + else: + # We only expect two cases here: + # (a) unindexed + # (b) indexed by scenario + raise RuntimeError() + + # The block hierarchy has been "flattened." + # Not to be confused with "flattening" a high-dimension + # index set into single-dimension index set. + flattened_model = pyo.ConcreteModel() + flattened_model.unindexed_vars = pyo.Reference(scalar_vars) + for i, var in enumerate(scenario_vars): + # var is already a reference. + flattened_model.add_component("scenario_var_%s" % i, var) + + flattened_model.unindexed_constraints = pyo.Reference(scalar_cons) + for i, con in enumerate(scenario_cons): + flattened_model.add_component("scenario_con_%s" % i, con) + + flattened_model.obj = pyo.Reference(m.OBJ) + + solver = pyo.SolverFactory("ipopt") + solver.solve(flattened_model, tee=True) + + +def all_sets(): + yields = [2.5, 3.0, 20.0] + m = build_block_model(yields) + + # It makes sense to build the flattened model ahead of time + # in this case, so we don't need to know what "set combinations" + # we're looking for a priori + flattened_model = pyo.ConcreteModel() + + sets = tuple(m.component_data_objects(pyo.Set)) + # This partitions model components according to how they are indexed + sets_list, vars_list = flatten_components_along_sets( + m, + sets, + pyo.Var, + ) + for i, (sets, vars) in enumerate(zip(sets_list, vars_list)): + if len(sets) == 1 and sets[0] is UnindexedComponent_set: + flattened_model.unindexed_vars = pyo.Reference(vars) + else: + for j, var in enumerate(vars): + flattened_model.add_component("var_%s_%s" % (i, j), var) + + sets_list, cons_list = flatten_components_along_sets( + m, + sets, + pyo.Constraint, + ) + for i, (sets, cons) in enumerate(zip(sets_list, cons_list)): + if len(sets) == 1 and sets[0] is UnindexedComponent_set: + flattened_model.unindexed_constraints = pyo.Reference(cons) + else: + for j, con in enumerate(cons): + flattened_model.add_component("con_%s_%s" % (i, j), con) + + flattened_model.obj = pyo.Reference(m.OBJ) + + solver = pyo.SolverFactory("ipopt") + solver.solve(flattened_model, tee=True) + + +def main(): + only_scenario_indexed() + all_sets() + + +if __name__ == "__main__": + main() diff --git a/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb b/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb new file mode 100644 index 00000000000..6f60d314c8c --- /dev/null +++ b/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb @@ -0,0 +1,1938 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Design of experiment" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:289: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " if diff is 0:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:291: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif diff is 1:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:293: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif diff is -1:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:295: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif diff is 2:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:305: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " if i is 'base' or 'forward_ua' or 'backward_ua':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:307: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'forward_k':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:309: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'backward_k':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:661: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'forward_ua':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:663: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'backward_ua':\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alpha option:\n", + "1 / (1 + exp(-x))\n", + "WARNING: DEPRECATED: The pyomo.core.kernel.component_set module is deprecated.\n", + " Import ComponentSet from pyomo.common.collections. (deprecated in 5.7.1)\n", + " (called from :228)\n" + ] + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from pyomo.environ import *\n", + "from pyomo.dae import *\n", + "\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "from fixed_bed_model_v2 import *\n", + "#from Users.wangjialu.pyomo.pyomo.contrib.doe import fim_doe" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load experimental data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def load_data(data_name=\"co2_breakthrough.csv\", no_time=68, len_time=3200, source=\"computer\", self_defined=True):\n", + " '''Loading experimental data \n", + " Arg: \n", + " data_name: the file name of the data. If it's lab experimental data from LNBL, use the default name. Otherwise,\n", + " put the new filenames on it\n", + " source: lab or computer\n", + " self_defined: a choice for lab experimental data. If true, use self-defined timepoints [0,3200], 69 timepoints.\n", + " if false, use the timepoints of experimental data [-10, 3208], 68\n", + " Return:\n", + " \n", + " '''\n", + " \n", + " \n", + " if (source==\"lab\"):\n", + " # Import experimental data\n", + " exp = pd.read_csv(data_name)\n", + " \n", + " # exp_time_st is a numpy array, containing every timepoint in experimental data in [s]\n", + " exp_time_st = exp.time.to_numpy()*60\n", + "\n", + " # exp_yCO2_st is a dictionary, keys are timepoints in [s], values are the yCO2\n", + " exp_yCO2_st = {}\n", + " for i in range(len(exp_time_st)): \n", + " exp_yCO2_st[exp_time_st[i]] = exp.yCO2[i]\n", + "\n", + " # exp_yCO2_st is a dictionary, keys are timepoints in [s], values are the FCO2\n", + " exp_FCO2_st = {}\n", + " for i in range(len(exp_time_st)): \n", + " exp_FCO2_st[exp_time_st[i]] = exp.FCO2[i]\n", + "\n", + " if self_defined:\n", + " # a list of timepoints for creating the model\n", + " time_exp = time_points(no_time, len_time)\n", + "\n", + " # Experimental data of yCO2 value at outlet. For specifying objective function\n", + " exp_yCO2 = {}\n", + " exp_yCO2_re = np.interp(time_exp, exp_time_st, exp.yCO2)\n", + " for i in range(len(time_exp)): \n", + " exp_yCO2[time_exp[i]] = exp_yCO2_re[i]\n", + "\n", + " # Experimental data of yCO2 value at outlet. For specifying objective function\n", + " exp_FCO2 = {}\n", + " exp_FCO2_re = np.interp(time_exp, exp_time_st, exp.FCO2)\n", + " for i in range(len(time_exp)): \n", + " exp_FCO2[time_exp[i]] = exp_FCO2_re[i]\n", + " \n", + " return time_exp, exp_yCO2\n", + " \n", + " else: \n", + " #exp_time = exp.time*60\n", + " return exp_time_st, exp_yCO2_st\n", + " \n", + " elif (source==\"computer\"):\n", + " \n", + " time_exp = time_points(no_time, len_time)\n", + " \n", + " sol = pd.read_csv(data_name)\n", + " \n", + " yco2_exp = {}\n", + " temp_mid_exp = {}\n", + " temp_end_exp = {}\n", + "\n", + " for i in range(len(time_exp)): \n", + " yco2_exp[time_exp[i]] = sol['FCO2'][i]\n", + " temp_mid_exp[time_exp[i]] = sol['temp_mid'][i]\n", + " temp_end_exp[time_exp[i]] = sol['temp_end'][i]\n", + "\n", + " return yco2_exp, temp_mid_exp, temp_end_exp\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define objective function" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def ObjRule(m, t_mid=False, t_end=False):\n", + " objfunc = 0\n", + " T=[]\n", + " for t in m.t:\n", + " T.append(value(t))\n", + " \n", + " #var_fco2 = 2.3697116742123714E-7\n", + " var_fco2 = 1.077255E-07\n", + " #var_midT = 9.1369\n", + " var_midT = 8.5945\n", + " #var_endT = 9.1284\n", + " var_endT = 8.5945\n", + " \n", + " #objfunc += sum((m.FCO2['base',19,t]/m.FCO2['base',19,T[-1]] - m.yCO2[t]/m.yCO2[T[-1]])**2 for t in m.t) \n", + " #objfunc += sum(((m.FCO2['base',19,t] - m.yCO2[t])**2)*1.0E5/2.3697116742123714 for t in m.t)\n", + " objfunc += sum(((m.FCO2['base',19,t] - m.yCO2[t])**2)*1.0E5/1.077255E-07 for t in m.t)\n", + " \n", + " if t_mid:\n", + " # objfunc += sum((m.temp['base',10,t]/m.temp['base',10,T[-1]] - m.midT[t]/m.midT[T[-1]])**2 for t in m.t) \n", + " objfunc += sum(((m.temp['base',10,t] - m.midT[t])**2)*0.01/8.5945 for t in m.t)\n", + " \n", + " if t_end:\n", + " # objfunc += sum((m.temp['base',19,t]/m.temp['base',19,T[-1]] - m.endT[t]/m.endT[T[-1]])**2 for t in m.t) \n", + " objfunc += sum(((m.temp['base',19,t] - m.endT[t])**2)*0.01/8.5945 for t in m.t) \n", + " \n", + " return objfunc" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def add_obj(doe, NFEt, time_scale, file=None, source_opt=\"computer\", self_def=True):\n", + " '''Fit for self defined timepoints \n", + " '''\n", + " if (source_opt==\"computer\"):\n", + " exp_yco2, exp_temp_mid, exp_temp_end = load_data(data_name=file,no_time=NFEt, len_time=time_scale, source=\"computer\")\n", + " \n", + " doe.yCO2 = Param(doe.t, initialize=exp_yco2)\n", + " doe.midT = Param(doe.t, initialize=exp_temp_mid)\n", + " doe.endT = Param(doe.t, initialize=exp_temp_end)\n", + " doe.obj = Objective(rule=ObjRule, sense=minimize)\n", + " \n", + " elif (source_opt==\"lab\"):\n", + " exp_time_re, exp_yco2 = load_data(no_time=NFEt, len_time=time_scale, source=\"lab\", self_defined=self_def)\n", + " \n", + " doe.yCO2 = Param(doe.t, initialize=exp_yco2)\n", + " doe.obj = Objective(rule=ObjRule, sense=minimize)\n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Solve the model " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def add_model(doe, timepoints, time_start=0):\n", + " '''\n", + " add variables, equations and discretize the model time\n", + " Argument:\n", + " timepoints: the timesteps\n", + " time_start: where the timesteps start. For self defined timepoints it's 0. For experimental data it's -10.\n", + " '''\n", + " add_variables(doe, timesteps=timepoints, start=time_start)\n", + " \n", + " add_equations(doe)\n", + " \n", + " print ('the number of timepoints is', NFEt)\n", + " \n", + "def discretize(doe, no_points=68):\n", + " '''\n", + " no_points: how many time invertals to divide. For self defined timepoints it's 69. For experimental data it's 68. \n", + " here it's 68\n", + " '''\n", + " if collo:\n", + " TransformationFactory('dae.collocation').apply_to(doe, nfe=no_points, ncp=3, scheme='LAGRANGE-RADAU', wrt=doe.t)\n", + " else:\n", + " TransformationFactory('dae.finite_difference').apply_to(doe, nfe=no_points, scheme='BACKWARD', wrt=doe.t)\n", + " \n", + " \n", + "def initialize(doe, init_point):\n", + " '''\n", + " Argument: \n", + " init_point: initial point, csv file\n", + " '''\n", + " # Initialize \n", + " print('The init point is', init_point) \n", + " store = pd.read_csv(init_point)\n", + " position_max = store['position'].max()\n", + " store['position'] = store['position'] / position_max\n", + "\n", + " initial_bed_csv(doe, store)\n", + " fix_initial_bed(doe)\n", + " \n", + " \n", + "def solve_model(doe):\n", + " # Define a solver\n", + " solver = custom_ipopt()\n", + " solver.options['tol'] = 1E-8\n", + " solver.options['max_iter'] = 3000\n", + " solver.options['halt_on_ampl_error'] = 'yes'\n", + " #solver.options['bound_push'] = 1E-2\n", + " \n", + " #solver.options['ma27_meminc_factor'] = 3\n", + " #if pert==1:\n", + " # solver.options['output_file'] = 'outputT%.0fy%.0f.txt'%(T, y*100)\n", + " #else:\n", + " # solver.options['output_file'] = 'output_upperT%.0fy%.0f.txt'%(T, y*100)\n", + " solver.options['print_level'] = 5\n", + " results = solver.solve(doe, tee=True, symbolic_solver_labels=True)\n", + " #doe.load(results)\n", + " #if (results.solver.status == SolverStatus.ok) and (results.solver.termination_condition == TerminationCondition.infeasible):\n", + " # print('well converged')\n", + " #solver.solve(doe, tee=True)\n", + " return results" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def simulator(doe):\n", + " sim = Simulator(doe, package='casadi')\n", + " tsim, profiles = sim.simulate(numpoints=69, integrator='cvodes')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Continuous DoE problem" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "NFEt = 68\n", + "time_scale = 3200\n", + "collo = False\n", + "exp_time = time_points(NFEt, time_scale)\n", + "\n", + "T_init = 313.15\n", + "y_init = 0.15\n", + "\n", + "init_point = '20200729_energy.csv'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test = create_model(temp=T_init, temp_bath=313.15, y=y_init, para=212, ua=np.log(5.0E6), opt=True, conti=True, \n", + " optimize_trace=True,diff=1, energy=True)\n", + "add_model(test, exp_time)\n", + "discretize(test, no_points=NFEt)\n", + "initialize(test, init_point)\n", + "result_ = solve_model(test)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(value(test.temp_orig))\n", + "print(value(test.yfeed['CO2']))\n", + "print(value(test.obj))\n", + "print(np.log10(-value(test.obj)))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot parmest result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "k_trans = 250.0000015\n", + "init_point = 'T313y15_double.csv'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test = create_model(293.15, 0.4, k_trans, 20000, opt=True, conti=False, diff=0, eps=epsilon, energy=False, isotherm = isotherm_opt, physsorb = physsorb_opt, chemsorb = chemsorb_opt, dispersion = dispersion_opt, fix_pres = fix_pres_opt, v_fix = v_fix_opt)\n", + "add_model(test)\n", + "solve_model(test, init_point)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "o29340 = pd.read_csv('293_40_exp.csv')\n", + "\n", + "plt.scatter(o29340.time, o29340.FCO2, label='experimental value')\n", + "\n", + "\n", + "breakthrough_modify3(test,exp)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Four corner analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "tr_range = [106,212,318]\n", + "comp_range = [[293.15, 0.1], [293.15, 0.4], [373.15, 0.1], [373.15, 0.4]]\n", + "init_point = '20200729_energy.csv'\n", + "\n", + "for i in tr_range:\n", + " for j in comp_range:\n", + " print('solve the model where tr is', i,'dv are', j)\n", + " test = create_model(temp=j[0], temp_bath=313.15, y=j[1], para=i, ua=np.log(5.0E6), opt=True, conti=False, diff=0, eps=epsilon, energy=True)\n", + " add_model(test, exp_time)\n", + " #add_obj(test)def extract3(m,result):\n", + " discretize(test, no_points=68)\n", + " initialize(test, init_point)\n", + " results = solve_model(test)\n", + " dataframe = extract3(test, results)\n", + " dataframe.to_csv('T%.0fy%.0f_%.0f.csv'%(j[0], j[1]*100, i))\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Square problem" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0, 47.05882352941177, 94.11764705882354, 141.1764705882353, 188.23529411764707, 235.29411764705884, 282.3529411764706, 329.4117647058824, 376.47058823529414, 423.5294117647059, 470.5882352941177, 517.6470588235295, 564.7058823529412, 611.7647058823529, 658.8235294117646, 705.8823529411764, 752.9411764705881, 799.9999999999998, 847.0588235294115, 894.1176470588232, 941.1764705882349, 988.2352941176466, 1035.2941176470583, 1082.35294117647, 1129.4117647058818, 1176.4705882352935, 1223.5294117647052, 1270.5882352941169, 1317.6470588235286, 1364.7058823529403, 1411.764705882352, 1458.8235294117637, 1505.8823529411754, 1552.9411764705872, 1599.9999999999989, 1647.0588235294106, 1694.1176470588223, 1741.176470588234, 1788.2352941176457, 1835.2941176470574, 1882.3529411764691, 1929.4117647058808, 1976.4705882352926, 2023.5294117647043, 2070.588235294116, 2117.647058823528, 2164.7058823529396, 2211.7647058823513, 2258.823529411763, 2305.8823529411748, 2352.9411764705865, 2399.999999999998, 2447.05882352941, 2494.1176470588216, 2541.1764705882333, 2588.235294117645, 2635.2941176470567, 2682.3529411764684, 2729.41176470588, 2776.470588235292, 2823.5294117647036, 2870.5882352941153, 2917.647058823527, 2964.7058823529387, 3011.7647058823504, 3058.823529411762, 3105.882352941174, 3152.9411764705856, 3199.9999999999973]\n" + ] + } + ], + "source": [ + "NFEt = 68\n", + "time_scale = 3200\n", + "collo = False\n", + "exp_time = time_points(NFEt, time_scale)\n", + "print(exp_time)\n", + "\n", + "tr_range = [212]\n", + "ua_range = [np.log(5.0E6)]\n", + "init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", + "#init_point = '353_20_5e3_bothT_of2.csv'\n", + "#init_point = 'init_test.csv'\n", + "#init_point = 'T353y20_5e3.csv'" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "solve the model where tr is 212 ua is 15.424948470398375\n", + "The inlet gas temperature is 313.15\n", + "The inlet feed density is 38.40726649935368 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "wangjialudeMacBook-Pro.local\n", + "Loading custom Ipopt...\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "tol=1e-08\n", + "max_iter=3000\n", + "halt_on_ampl_error=yes\n", + "print_level=5\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.54e+00 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (15843376)\n", + "Reallocating memory for MA57: lfact (17855952)\n", + " 1 0.0000000e+00 2.40e+00 2.32e+01 -1.0 1.34e+00 - 8.55e-01 5.24e-02h 1\n", + " 2 0.0000000e+00 2.40e+00 1.75e+04 -1.0 1.27e+00 - 4.87e-01 7.04e-04h 1\n", + " 3r 0.0000000e+00 2.40e+00 1.00e+03 0.1 0.00e+00 - 0.00e+00 4.41e-07R 5\n", + " 4r 0.0000000e+00 7.30e-01 1.00e+03 0.1 7.00e+02 - 2.21e-03 1.34e-03f 1\n", + " 5r 0.0000000e+00 5.93e-01 9.96e+02 0.1 1.68e+02 - 1.30e-03 2.41e-03f 1\n", + " 6r 0.0000000e+00 3.97e-01 9.94e+02 0.1 6.63e+01 - 1.77e-03 4.67e-03f 1\n", + " 7r 0.0000000e+00 3.30e-01 9.91e+02 0.1 5.22e+01 - 2.63e-03 4.41e-03f 1\n", + " 8r 0.0000000e+00 3.03e-01 1.02e+03 0.1 6.09e+01 - 1.97e-03 4.76e-03f 1\n", + " 9r 0.0000000e+00 2.93e-01 1.03e+03 0.1 3.27e+01 - 3.68e-03 4.75e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 2.86e-01 1.05e+03 0.1 3.18e+01 - 3.44e-03 5.37e-03f 1\n", + " 11r 0.0000000e+00 2.76e-01 1.07e+03 0.1 2.90e+01 - 4.03e-03 5.59e-03f 1\n", + " 12r 0.0000000e+00 2.58e-01 1.09e+03 0.1 2.74e+01 - 4.35e-03 5.83e-03f 1\n", + " 13r 0.0000000e+00 2.21e-01 1.10e+03 0.1 2.62e+01 - 4.66e-03 6.01e-03f 1\n", + " 14r 0.0000000e+00 1.28e-01 1.11e+03 0.1 2.49e+01 - 4.96e-03 6.19e-03f 1\n", + " 15r 0.0000000e+00 1.20e-01 1.09e+03 0.1 1.87e+01 - 1.30e-02 6.38e-03f 1\n", + " 16r 0.0000000e+00 9.37e-02 8.99e+02 0.1 3.44e+00 - 2.12e-01 2.28e-02f 1\n", + " 17r 0.0000000e+00 9.33e+00 7.79e+02 0.1 3.14e+00 - 2.26e-01 2.62e-01f 1\n", + " 18r 0.0000000e+00 2.77e+00 5.90e+02 0.1 2.04e+00 - 3.20e-01 2.33e-01f 1\n", + " 19r 0.0000000e+00 1.53e+00 3.65e+02 0.1 1.70e+00 - 3.82e-01 3.00e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 1.05e+01 2.68e+03 0.1 1.58e+00 - 3.94e-01 1.00e+00f 1\n", + " 21r 0.0000000e+00 4.25e+00 1.03e+03 0.1 5.41e-01 2.0 8.29e-01 8.62e-01f 1\n", + " 22r 0.0000000e+00 3.56e+00 1.09e+03 0.1 5.38e-01 2.4 1.00e+00 1.55e-01f 1\n", + " 23r 0.0000000e+00 1.73e+00 1.12e+03 0.1 6.50e-01 1.9 7.36e-01 3.57e-01f 1\n", + " 24r 0.0000000e+00 1.47e+01 6.53e+05 0.1 3.37e+00 - 2.93e-02 4.53e-01f 1\n", + " 25r 0.0000000e+00 1.32e+01 5.87e+05 0.1 7.28e-01 4.2 1.10e-01 1.07e-01f 1\n", + " 26r 0.0000000e+00 9.75e+00 4.38e+05 0.1 7.72e-01 3.7 5.10e-02 2.78e-01h 1\n", + " 27r 0.0000000e+00 8.00e+00 3.63e+05 0.1 3.32e-01 4.1 1.92e-01 1.92e-01h 1\n", + " 28r 0.0000000e+00 6.87e+00 3.12e+05 0.1 9.20e-01 3.7 1.31e-01 1.47e-01h 1\n", + " 29r 0.0000000e+00 5.61e+00 2.59e+05 0.1 2.91e-01 4.1 1.97e-01 1.95e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 5.43e+00 2.51e+05 0.1 3.00e+01 3.6 8.48e-03 3.32e-02h 1\n", + " 31r 0.0000000e+00 2.42e+00 1.30e+05 0.1 3.06e-01 4.0 7.28e-02 6.96e-01h 1\n", + " 32r 0.0000000e+00 1.97e+00 9.98e+04 0.1 3.25e-01 4.5 4.63e-02 1.96e-01h 1\n", + " 33r 0.0000000e+00 7.13e-01 4.23e+04 0.1 2.52e-01 4.0 1.69e-01 7.71e-01h 1\n", + " 34r 0.0000000e+00 5.87e-01 3.49e+04 0.1 2.15e-01 3.5 8.75e-01 1.79e-01f 1\n", + " 35r 0.0000000e+00 5.14e-01 3.07e+04 0.1 5.90e-01 3.0 1.00e+00 1.12e-01f 1\n", + " 36r 0.0000000e+00 3.72e-01 2.26e+04 0.1 2.04e-01 3.4 1.00e+00 2.79e-01f 1\n", + " 37r 0.0000000e+00 2.95e-01 1.82e+04 0.1 5.39e-01 3.0 1.00e+00 1.96e-01f 1\n", + " 38r 0.0000000e+00 1.02e-01 8.68e+03 0.1 1.97e-01 3.4 1.00e+00 6.69e-01f 1\n", + " 39r 0.0000000e+00 1.03e-01 1.64e+03 0.1 4.20e-02 2.9 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 5.50e-02 1.28e+02 0.1 5.39e-02 2.4 1.00e+00 1.00e+00f 1\n", + " 41r 0.0000000e+00 1.12e-02 2.10e+01 0.1 1.43e-01 2.0 1.00e+00 1.00e+00f 1\n", + " 42r 0.0000000e+00 9.19e-03 1.78e+02 -0.6 4.05e-01 1.5 9.20e-01 4.73e-01f 1\n", + " 43r 0.0000000e+00 3.41e-02 5.37e+02 -0.6 6.82e-01 1.0 1.00e+00 2.94e-01f 1\n", + " 44r 0.0000000e+00 2.75e-01 1.02e+03 -0.6 7.01e+00 - 7.16e-01 7.93e-02f 1\n", + " 45r 0.0000000e+00 1.22e+00 3.62e+02 -0.6 1.91e+00 - 1.00e+00 5.72e-01f 1\n", + " 46r 0.0000000e+00 9.03e-01 2.89e+02 -0.6 5.93e-01 - 1.00e+00 9.48e-01f 1\n", + " 47r 0.0000000e+00 5.26e-01 3.83e+02 -0.6 2.06e-01 - 9.28e-01 1.00e+00f 1\n", + " 48r 0.0000000e+00 3.79e-02 4.32e+02 -0.6 7.08e-02 2.3 1.00e+00 1.00e+00f 1\n", + " 49r 0.0000000e+00 9.75e-03 2.01e+02 -0.6 8.60e-02 1.9 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 2.79e-02 2.32e+01 -0.6 4.50e-01 - 1.00e+00 9.99e-01f 1\n", + " 51r 0.0000000e+00 9.64e-03 1.01e+00 -0.6 1.89e-01 - 1.00e+00 1.00e+00f 1\n", + " 52r 0.0000000e+00 6.74e-01 1.75e+02 -2.0 1.40e+00 - 8.92e-01 2.85e-01f 1\n", + " 53r 0.0000000e+00 6.44e-01 1.42e+02 -2.0 7.04e-01 - 9.75e-01 4.83e-01f 1\n", + " 54r 0.0000000e+00 7.64e-01 1.58e+02 -2.0 8.22e-01 - 7.94e-01 3.80e-01f 1\n", + " 55r 0.0000000e+00 7.36e-01 1.53e+02 -2.0 5.92e-01 - 1.00e+00 5.59e-01f 1\n", + " 56r 0.0000000e+00 5.86e-01 8.28e+01 -2.0 5.01e-01 - 4.65e-01 4.60e-01f 1\n", + " 57r 0.0000000e+00 4.33e-01 1.00e+02 -2.0 4.38e-01 - 2.48e-01 3.71e-01f 1\n", + " 58r 0.0000000e+00 3.54e-01 1.41e+02 -2.0 4.23e-01 - 8.40e-01 3.19e-01f 1\n", + " 59r 0.0000000e+00 2.99e-01 8.35e+01 -2.0 3.86e-01 - 1.33e-01 2.35e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 2.59e-01 6.86e+01 -2.0 3.50e-01 - 1.68e-01 1.75e-01f 1\n", + " 61r 0.0000000e+00 2.27e-01 1.26e+02 -2.0 3.27e-01 - 1.00e+00 7.07e-01f 1\n", + " 62r 0.0000000e+00 1.95e-01 1.12e+02 -2.0 2.69e-01 - 1.76e-01 1.63e-01f 1\n", + " 63r 0.0000000e+00 1.67e-01 9.48e+01 -2.0 2.63e-01 - 1.57e-01 1.63e-01f 1\n", + " 64r 0.0000000e+00 1.35e-01 5.52e+01 -2.0 2.54e-01 - 5.34e-01 4.95e-01f 1\n", + " 65r 0.0000000e+00 1.28e-01 5.81e+01 -2.0 3.64e-01 - 6.73e-02 5.61e-02f 1\n", + " 66r 0.0000000e+00 1.03e-01 9.01e+01 -2.0 2.28e-01 - 2.68e-01 3.95e-01f 1\n", + " 67r 0.0000000e+00 8.70e-02 7.98e+01 -2.0 1.94e-01 - 3.11e-01 2.09e-01f 1\n", + " 68r 0.0000000e+00 6.26e-02 1.43e+02 -2.0 2.66e-02 2.3 1.97e-01 2.80e-01f 1\n", + " 69r 0.0000000e+00 2.70e-02 2.87e+02 -2.0 4.22e-02 1.8 3.22e-01 5.68e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 1.79e-02 2.36e+02 -2.0 9.02e-02 1.3 5.72e-01 3.43e-01f 1\n", + " 71r 0.0000000e+00 1.65e-02 2.94e+02 -2.0 2.94e-01 0.9 1.32e-01 8.23e-02f 1\n", + " 72r 0.0000000e+00 1.64e-02 2.94e+02 -2.0 1.35e+01 0.4 1.37e-03 1.93e-03f 1\n", + " 73r 0.0000000e+00 1.75e-02 2.83e+02 -2.0 1.23e+00 - 3.41e-02 3.00e-02f 1\n", + " 74r 0.0000000e+00 1.76e-02 2.78e+02 -2.0 2.83e+00 - 2.17e-02 8.60e-03f 1\n", + " 75r 0.0000000e+00 3.59e-02 4.10e+02 -2.0 4.68e-01 - 2.85e-01 1.82e-01f 1\n", + " 76r 0.0000000e+00 3.54e-02 3.68e+02 -2.0 2.77e-01 - 1.07e-01 1.25e-01f 1\n", + " 77r 0.0000000e+00 3.49e-02 3.63e+02 -2.0 1.30e+00 - 2.08e-02 2.68e-02f 1\n", + " 78r 0.0000000e+00 3.47e-02 5.40e+02 -2.0 2.89e-01 - 9.25e-02 1.60e-01f 1\n", + " 79r 0.0000000e+00 3.32e-02 4.85e+02 -2.0 2.32e-01 - 1.68e-01 1.24e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 3.26e-02 4.77e+02 -2.0 1.54e+00 -0.1 2.39e-02 1.89e-02f 1\n", + " 81r 0.0000000e+00 3.21e-02 4.60e+02 -2.0 1.25e+00 - 2.61e-02 3.23e-02f 1\n", + " 82r 0.0000000e+00 2.96e-02 3.83e+02 -2.0 1.85e-01 - 1.74e-01 1.70e-01f 1\n", + " 83r 0.0000000e+00 2.94e-02 3.79e+02 -2.0 3.29e+00 - 1.31e-02 1.23e-02f 1\n", + " 84r 0.0000000e+00 2.42e-02 3.28e+02 -2.0 1.83e-01 0.3 2.98e-01 2.06e-01f 1\n", + " 85r 0.0000000e+00 2.73e-02 2.56e+02 -2.0 2.17e-01 - 2.47e-01 2.32e-01f 1\n", + " 86r 0.0000000e+00 1.22e-02 1.66e+02 -2.0 6.25e-02 0.8 8.42e-01 6.24e-01f 1\n", + " 87r 0.0000000e+00 2.18e-02 1.40e+02 -2.0 4.39e-01 - 2.12e-01 1.69e-01f 1\n", + " 88r 0.0000000e+00 2.48e-02 1.19e+02 -2.0 2.94e-01 - 1.82e-01 1.56e-01f 1\n", + " 89r 0.0000000e+00 2.46e-02 1.26e+02 -2.0 1.80e-01 - 2.81e-01 2.38e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 1.88e-02 1.58e+01 -2.0 7.80e-02 - 1.00e+00 1.00e+00f 1\n", + " 91r 0.0000000e+00 2.52e-04 3.28e+00 -2.0 1.32e-02 - 1.00e+00 1.00e+00h 1\n", + " 92r 0.0000000e+00 2.58e-04 2.48e-02 -2.0 5.37e-04 - 1.00e+00 1.00e+00h 1\n", + " 93r 0.0000000e+00 1.98e-02 2.83e+02 -4.5 2.91e-01 - 9.72e-01 2.86e-01f 1\n", + " 94r 0.0000000e+00 1.81e-02 4.17e+02 -4.5 1.24e-01 - 1.00e+00 2.93e-01f 1\n", + " 95r 0.0000000e+00 1.17e-02 3.67e+02 -4.5 4.82e-02 - 1.00e+00 4.38e-01f 1\n", + " 96r 0.0000000e+00 5.12e-03 2.15e+02 -4.5 1.60e-02 - 9.27e-01 5.91e-01f 1\n", + " 97r 0.0000000e+00 2.73e-03 1.38e+02 -4.5 4.88e-03 - 7.06e-01 4.72e-01f 1\n", + " 98r 0.0000000e+00 1.39e-03 1.73e+02 -4.5 2.52e-03 - 7.24e-01 4.92e-01f 1\n", + " 99r 0.0000000e+00 5.09e-04 1.04e+02 -4.5 1.26e-03 - 8.02e-01 6.37e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 7.22e-05 2.90e+01 -4.5 4.56e-04 - 9.08e-01 8.59e-01f 1\n", + " 101r 0.0000000e+00 5.56e-08 2.51e-04 -4.5 6.37e-05 - 1.00e+00 1.00e+00f 1\n", + " 102r 0.0000000e+00 1.35e-08 5.56e+01 -6.7 5.73e-06 - 1.00e+00 7.47e-01f 1\n", + " 103r 0.0000000e+00 4.08e-09 9.44e+01 -6.7 1.00e-06 - 9.01e-01 6.60e-01f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Number of Iterations....: 103\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 4.0844943192415999e-09 4.0844943192415999e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 4.0844943192415999e-09 4.0844943192415999e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 109\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 109\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 105\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 103\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 46.722\n", + "Total CPU secs in NLP function evaluations = 5.515\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + } + ], + "source": [ + "for i in tr_range:\n", + " for j in ua_range:\n", + " print('solve the model where tr is', i,'ua is', j)\n", + " test = create_model(temp=313.15, temp_bath=313.15, y=0.15, para=i, ua=j, opt=True, conti=False, diff=0, energy=True)\n", + " add_model(test, exp_time)\n", + " #add_obj(test, NFEt, time_scale, file='353_20_5e3_exp.csv', source_opt=\"computer\")\n", + " #fix_initial_bed(test)\n", + " #initial_sim(test)\n", + " #simulator(test)\n", + " discretize(test, no_points=NFEt)\n", + " initialize(test, init_point)\n", + " result_ = solve_model(test)\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ERROR: evaluating object as numeric value: t\n", + " (object: )\n", + " 'ContinuousSet' object is not callable\n" + ] + }, + { + "ename": "TypeError", + "evalue": "'ContinuousSet' object is not callable", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_42483/3391102598.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mti\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mt\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mti\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mti\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32mpyomo/core/expr/numvalue.pyx\u001b[0m in \u001b[0;36mpyomo.core.expr.numvalue.value\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpyomo/core/expr/numvalue.pyx\u001b[0m in \u001b[0;36mpyomo.core.expr.numvalue.value\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mTypeError\u001b[0m: 'ContinuousSet' object is not callable" + ] + } + ], + "source": [ + "ti =[]\n", + "for t in test.t:\n", + " ti.append(value(test.t))\n", + "print(ti)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "add_obj(test, NFEt, time_scale, file='333_40_5e3_exp.csv', source_opt=\"computer\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "T=[]\n", + "fco2_model=[]\n", + "fco2_exp=[]\n", + "temp_mid_model=[]\n", + "temp_mid_exp = []\n", + "temp_end_model=[]\n", + "temp_end_exp=[]\n", + "for t in test.t:\n", + " T.append(value(t))\n", + " \n", + "for i in T: \n", + " fco2_model.append(value(test.FCO2['base',19,i])/value(test.FCO2['base',19,T[-1]]))\n", + " fco2_exp.append(test.yCO2[i]/test.yCO2[T[-1]])\n", + " temp_mid_model.append(value(test.temp['base',10,i])/value(test.temp['base',10,T[-1]]) )\n", + " temp_mid_exp.append(test.midT[i]/test.midT[T[-1]])\n", + " temp_end_model.append(value(test.temp['base',19,i])/value(test.temp['base',19,T[-1]]))\n", + " temp_end_exp.append(test.endT[i]/test.endT[T[-1]])\n", + " \n", + "x = sum((value(test.FCO2['base',19,t])/value(test.FCO2['base',19,T[-1]]) - test.yCO2[t]/test.yCO2[T[-1]])**2 for t in test.t)\n", + "\n", + "x2 = sum((value(test.temp['base',10,t])/value(test.temp['base',10,T[-1]]) - test.midT[t]/test.midT[T[-1]])**2 for t in test.t)\n", + "\n", + "x3 = sum((value(test.temp['base',19,t])/value(test.temp['base',19,T[-1]]) - test.endT[t]/test.endT[T[-1]])**2 for t in test.t)\n", + "\n", + "print(x)\n", + "print(x2)\n", + "print(x3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "x = sum(((value(test.FCO2['base',19,t]) - test.yCO2[t])**2)/2.3697116742123714E-07 for t in test.t)\n", + "\n", + "x2 = sum(((value(test.temp['base',10,t]) - test.midT[t])**2)/9.1369 for t in test.t)\n", + "\n", + "x3 = sum(((value(test.temp['base',19,t]) - test.endT[t])**2)/9.1284 for t in test.t)\n", + "\n", + "print(x)\n", + "print(x2)\n", + "print(x3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.plot(T, fco2_model)\n", + "plt.plot(T, fco2_exp)\n", + "plt.show()\n", + "\n", + "plt.plot(T, temp_mid_model)\n", + "plt.plot(T, temp_mid_exp)\n", + "plt.show()\n", + "\n", + "plt.plot(T, temp_end_model)\n", + "plt.plot(T, temp_end_exp)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "large_residuals_set(test, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "breakthrough_modify2(test,source=\"lab\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dataframe = extract3(test,result_)\n", + "dataframe.to_csv('353_293_5e3_updatedm.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data_list = pd.read_csv('353_293_5e3_updatedm.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "makeplot_csv2(data_list, temp_show=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data_base = pd.read_csv('/Users/wangjialu/Desktop/comps-result/crcresults_0914_2/T293y15_base.csv')\n", + "makeplot_csv2(data_base, temp_show=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(value(test.obj))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for t in test.t:\n", + " print(test.FCO2[t])\n", + " print(value(test.C['base', 'CO2', Ngrid-1, t]*test.v['base', Ngrid-1, t]*3.1415926*rbed*rbed*600))\n", + " #print((value(test.C['base', 'CO2', Ngrid-1, t]*test.v['base', Ngrid-1, t]*3.1415926*rbed*rbed*600 - test.FCO2[t])**2))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for i,time in enumerate(test.t):\n", + " for z in test.zgrid:\n", + " print(value(test.FCO2['forward_k',z, time]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data_2 = pd.read_csv('/Users/a/Desktop/crcresults_0916_4/373_40_212.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Computer experiment " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def ext_time(total, node):\n", + " '''\n", + " Extract the time nodes\n", + " Argument:\n", + " total: a pandas dataframe of solutions\n", + " node: the number of timesteps\n", + " return: a list\n", + " '''\n", + " t_py = total['pressure']\n", + " time_p = t_py.index.to_list()[:node]\n", + " return time_p" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def computer_exp(name, timepoints):\n", + " sol = pd.read_csv(name, index_col=1)\n", + " FCO2 = ext_pres(sol, 'fco2', timepoints)[19]\n", + " temp_base = ext_pres(sol, 'temp', timepoints)\n", + " temp_mid = temp_base[10]\n", + " temp_end = temp_base[19] \n", + " time = ext_time(sol,timepoints)\n", + " #np.random.normal(mean=0,log=0.05*)\n", + " \n", + " return FCO2, temp_mid, temp_end, time" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "FCO2_1, temp_mid_1, temp_end_1, time_in = computer_exp('T333y40_5e3.csv', 103)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "FCO2_1_noisy = FCO2_1 + np.random.normal(0, 0.01*np.mean(FCO2_1), size=len(FCO2_1))\n", + "#print(FCO2_1)\n", + "\n", + "temp_mid_1_noisy = temp_mid_1 + np.random.normal(0, 0.01*np.mean(temp_mid_1), size=len(temp_mid_1))\n", + "temp_end_1_noisy = temp_end_1 + np.random.normal(0, 0.01*np.mean(temp_end_1), size=len(temp_end_1))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print('The STD I set for the FCO2 is', np.mean(FCO2_1)*0.01, 'the variance is', np.mean(FCO2_1)**2*0.0001)\n", + "print('The STD I set for the FCO2 is', np.mean(temp_mid_1*0.01), 'the variance is', np.mean(temp_mid_1)**2*0.0001)\n", + "print('The STD I set for the FCO2 is', np.mean(temp_end_1*0.01), 'the variance is', np.mean(temp_end_1)**2*0.0001)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.plot(time_in, FCO2_1, label='model')\n", + "plt.plot(time_in, FCO2_1_noisy, label='exp')\n", + "plt.ylabel('CO\\N{SUBSCRIPT TWO} outlet flowrate [mmol/min]')\n", + "plt.xlabel('Time [s]')\n", + "plt.show()\n", + "\n", + "\n", + "plt.plot(time_in, temp_mid_1, label='model middle T')\n", + "plt.plot(time_in, temp_mid_1_noisy, label='model middle T')\n", + "plt.plot(time_in, temp_end_1, label='model end T')\n", + "plt.plot(time_in, temp_end_1_noisy, label='model end T')\n", + "plt.xlabel('Time [s]')\n", + "plt.ylabel('Temperature [K]')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def exp_data(FCO2, temp_mid, temp_end, time):\n", + " dataframe = pd.DataFrame({'time': time,\n", + " 'FCO2': FCO2,\n", + " 'temp_mid':temp_mid,\n", + " 'temp_end':temp_end\n", + " })\n", + " return dataframe\n", + "\n", + "fco2_5e3 = exp_data(FCO2_1_noisy, temp_mid_1_noisy, temp_end_1_noisy, time_in)\n", + "\n", + "fco2_5e3.to_csv('333_40_5e3_exp.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Parameter estimation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Add a description here.\n", + "Estimate $UA$ with transport parameter fixed." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "init_point = './fixed_bed_initial/T353y20_5e3.csv'\n", + "exp_data = '/Users/wangjialu/Desktop/final-result/covariance_marathon_1111/exp01/353_20_5e3_exp01.csv'\n", + "\n", + "NFEt = 102\n", + "time_scale = 4800\n", + "collo = False\n", + "exp_time = time_points(NFEt, time_scale)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# Add objective function to the model. Make this function name more descriptive\n", + "test = create_model(temp=353.15, temp_bath=293.15, y=0.2, para=212, ua=np.log(5.0E3), opt=False, conti=False, diff=0, energy=True, est_tr=True, est_ua=True)\n", + "add_model(test, exp_time)\n", + "add_obj(test, NFEt, time_scale, file=exp_data, source_opt=\"computer\")\n", + "discretize(test, no_points=NFEt)\n", + "initialize(test, init_point)\n", + "result_ = solve_model(test)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "breakthrough_modify2(test,file=exp_data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print('value of Of is', value(test.obj))\n", + "print('value of transport coefficient is', value(test.fitted_transport_coefficient))\n", + "print('estimated value of UA is', value(test.ua))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "T=[]\n", + "for t in test.t:\n", + " T.append(value(t))\n", + " \n", + " \n", + "x = sum((value(test.FCO2['base',19,t])/value(test.FCO2['base',19,T[-1]]) - test.yCO2[t]/test.yCO2[T[-1]])**2 for t in test.t)\n", + "\n", + "x2 = sum((value(test.temp['base',10,t])/value(test.temp['base',10,T[-1]]) - test.midT[t]/test.midT[T[-1]])**2 for t in test.t)\n", + "\n", + "x3 = sum((value(test.temp['base',19,t])/value(test.temp['base',19,T[-1]]) - test.endT[t]/test.endT[T[-1]])**2 for t in test.t)\n", + "\n", + "\n", + "print(x)\n", + "print(x2)\n", + "print(x3)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def calc_obj(m):\n", + " x = sum(((value(m.FCO2['base',19,t]) - m.yCO2[t])**2)/2.3697116742123714E-07 for t in m.t)\n", + " \n", + " x2 = sum(((value(m.temp['base',10,t]) - m.midT[t])**2)/9.1369 for t in m.t)\n", + " \n", + " x3 = sum(((value(m.temp['base',19,t]) - m.endT[t])**2)/9.1284 for t in m.t) \n", + " \n", + " return x, x2, x3\n", + "\n", + "x_, x2_, x3_ = calc_obj(test)\n", + "print(x_, x2_, x3_)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dataframe = extract3(test,result_)\n", + "dataframe.to_csv('353_20_5e3_bothT_of2.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "#dataframe.to_csv('pe_onlyfco2_5e3.csv')\n", + "#data_list = pd.read_csv('pe_onlyfco2_5e3.csv')\n", + "#makeplot_csv2(data_list, temp_show=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "large_residuals_set(est, 1E-3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# est = create_model(313.15, 0.15, 192, 1.0E6, opt=False, conti=False, diff=diff_opt, eps=epsilon, energy=True, est_tr=True, est_ua=True, isotherm = isotherm_opt, physsorb = physsorb_opt, chemsorb = chemsorb_opt, dispersion = dispersion_opt, fix_pres = fix_pres_opt, v_fix = v_fix_opt, param_level=param_level_opt)\n", + "\n", + "# add_model(est)\n", + "\n", + "est.fitted_transport_coefficient.unfix()\n", + "\n", + "# Define a solver\n", + "solver = custom_ipopt()\n", + "solver.options['tol'] = 1E-8\n", + "solver.options['max_iter'] = 3000\n", + "solver.options['halt_on_ampl_error'] = 'yes'\n", + "solver.options['bound_push'] = 1E-8\n", + "solver.solve(est, tee=True, symbolic_solver_labels=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "large_residuals_set(est, 1E-6)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print('value of Of is', value(est.obj))\n", + "print('value of transport coefficient is', value(est.fitted_transport_coefficient))\n", + "print('estimated value of UA is', value(est.ua))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "breakthrough_modify2(est, exp)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define brute force problem" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def add_doe_variables(param=192, uam=1.0E6, y_range, T_range, preset='T313y15_double', diff_opt=1, epsilon=0.01):\n", + " '''\n", + " Run brute force problem \n", + " Based on fixed_bed_model_v2\n", + " TODO: it can only perturb k_trans by the diff_opt option.\n", + " \n", + " Arguments:\n", + " param: the nominal value of k_trans, default = 192 [s]\n", + " uam: the nominal value of Ua, default = 1E6 [W/m3/K]\n", + " y_range: the range of y, a list \n", + " T_range: the rage of T, a list\n", + " preset: A preset initial point for all brute force runs\n", + " diff_opt: 1: forward; -1:backward; 2:central. default to be the forward scheme\n", + " epsilon: the stepsize, default = 0.01, 1% of the parameters\n", + " \n", + " Return: None\n", + " Other: print the solution of each set of design variables to csv\n", + " '''\n", + " hes_rec = np.zeros((len(y_range), len(T_range))) \n", + "\n", + " for i in range(0,len(y_range)):\n", + " for j in range(0,len(T_range)):\n", + " print('Run the case with y=', y_range[i], 'T=', T_range[j])\n", + " load = create_model(T_range[j], y_range[i], para=param, ua=uam, opt=True, conti=False, diff=diff_opt, eps=epsilon, energy=True, isotherm = isotherm_opt, physsorb = physsorb_opt, chemsorb = chemsorb_opt, dispersion = dispersion_opt, fix_pres = fix_pres_opt, v_fix = v_fix_opt, param_level=0)\n", + " add_model(load)\n", + " try: \n", + " print('use the preset solution to start')\n", + " solve_model(load,'T313y15_double.csv')\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + "\n", + " except:\n", + " if i==0:\n", + " try:\n", + " print('the preset solution failed. try another initial point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j-1], y_range[i]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + "\n", + " except:\n", + " try:\n", + " print('the 1st best point failed. try the 2nd best point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j-2], y_range[i]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + "\n", + "\n", + " except:\n", + " try:\n", + " print('the 2nd best point failed. try the 3rd best point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j-3], y_range[i]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + "\n", + " except: \n", + " print('The code failed at', y_range[i], 'and', T_range[j])\n", + " hes_rec[i,j] = -1\n", + " else:\n", + " try:\n", + " print('the preset solution failed. try another initial point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j], y_range[i-1]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + "\n", + " except:\n", + " try:\n", + " print('the 1st best point failed. try the 2nd best point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j], y_range[i-2]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + "\n", + " except:\n", + " try:\n", + " print('the 2nd best point failed. try the 3rd best point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j], y_range[i-3]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + "\n", + " except: \n", + " print('The code failed at', y_range[i], 'and', T_range[j], 'at base case')\n", + " hes_rec[i,j] = -1\n", + "\n", + " \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "### get the design variable space\n", + "\n", + "y_range = np.linspace(0.1, 0.4, 7)\n", + "#y_range = [0.3]\n", + "\n", + "T_range = np.linspace(293.15, 373.15, 9)\n", + "#T_range = [313.15]\n", + "\n", + "# preset initial point for every combination\n", + "preset = 'T313y15_double.csv'\n", + "\n", + "# finite difference method\n", + "# 0=central difference; 1=forward difference; 2=backward difference\n", + "diff_opt = 1\n", + "# perturbation\n", + "epsilon=0.01\n", + "\n", + "param = 192" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for i in range(0,len(y_range)):\n", + " for j in range(0,len(T_range)):\n", + " print('Run the case with y=', y_range[i], 'T=', T_range[j])\n", + " load = create_model(T_range[j], y_range[i], 192, opt=True, conti=False, diff=diff_opt, eps=epsilon, isotherm = isotherm_opt, physsorb = physsorb_opt, chemsorb = chemsorb_opt, dispersion = dispersion_opt, fix_pres = fix_pres_opt, v_fix = v_fix_opt, param_level=0)\n", + " add_model(load)\n", + " print('use the preset solution to start')\n", + " solve_model(load,'T313y15_double.csv')\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# hes_rec[i,j]=-1 means the code fails at [i,j]. \n", + "hes_rec = np.zeros((len(y_range), len(T_range))) \n", + "\n", + "for i in range(0,len(y_range)):\n", + " for j in range(0,len(T_range)):\n", + " print('Run the case with y=', y_range[i], 'T=', T_range[j])\n", + " load = create_model(T_range[j], y_range[i], 192, opt=True, conti=False, diff=diff_opt, eps=epsilon, energy=True, isotherm = isotherm_opt, physsorb = physsorb_opt, chemsorb = chemsorb_opt, dispersion = dispersion_opt, fix_pres = fix_pres_opt, v_fix = v_fix_opt, param_level=0)\n", + " add_model(load)\n", + " try: \n", + " print('use the preset solution to start')\n", + " solve_model(load,'T313y15_double.csv')\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + "\n", + " except:\n", + " if i==0:\n", + " try:\n", + " print('the preset solution failed. try another initial point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j-1], y_range[i]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + " \n", + " except:\n", + " try:\n", + " print('the 1st best point failed. try the 2nd best point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j-2], y_range[i]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + " \n", + " \n", + " except:\n", + " try:\n", + " print('the 2nd best point failed. try the 3rd best point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j-3], y_range[i]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + " \n", + " except: \n", + " print('The code failed at', y_range[i], 'and', T_range[j])\n", + " hes_rec[i,j] = -1\n", + " else:\n", + " try:\n", + " print('the preset solution failed. try another initial point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j], y_range[i-1]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + "\n", + " except:\n", + " try:\n", + " print('the 1st best point failed. try the 2nd best point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j], y_range[i-2]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + "\n", + " except:\n", + " try:\n", + " print('the 2nd best point failed. try the 3rd best point')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j], y_range[i-3]*100))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100))\n", + "\n", + " except: \n", + " print('The code failed at', y_range[i], 'and', T_range[j], 'at base case')\n", + " hes_rec[i,j] = -1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "make_plots(load)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sol = pd.read_csv('T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100), index_col=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "con1, con2 = ext_pres_double(sol, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel1, vel2 = ext_pres_double(sol, 'vel', 'vel_u', unit*mag+1)\n", + "\n", + "FCO2_base = get_fco2(con1, vel1)\n", + "FCO2_upper = get_fco2(con2, vel2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# get the experimental timeset \n", + "measure = time_points(unit, time_scale)\n", + "\n", + "# get the FCO2 value in corresponding timepoints\n", + "FCO2_umea = FCO2_base[::mag]\n", + "FCO2_modelmea = FCO2_upper[::mag]\n", + "\n", + "print(FCO2_umea)\n", + "print(FCO2_modelmea)\n", + "\n", + "# Calculate dFCO2dp\n", + "dFCO2dp = np.zeros(len(FCO2_umea))\n", + "\n", + "\n", + "for i in range(len(measure)):\n", + " if diff_opt != 0:\n", + " dFCO2dp[i] = (FCO2_umea[i]-FCO2_modelmea[i])/epsilon/param\n", + " else:\n", + " dFCO2dp[i] = (FCO2_umea[i]-FCO2_modelmea[i])/2/epsilon/param\n", + "\n", + "# Calculate the FIM\n", + "hes = 0\n", + "for i in range(len(dFCO2dp)):\n", + " hes += dFCO2dp[i]**2\n", + "print(hes)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define continuous optimization problem" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "T_init = 313.15\n", + "y_init = 0.15\n", + "init_point = '20200729_energy.csv'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "load = create_model(313.15, 0.15, 192, 5.0E5, opt=True, conti=True, diff=1, eps=0.01, energy=False)\n", + "\n", + "add_model(load, exp_time)\n", + "#add_obj(test)\n", + "discretize(load)\n", + "initialize(load, init_point)\n", + "solve_model(load)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# hes_rec[i,j]=-1 means the code fails at [i,j]. \n", + "hes_rec = np.zeros((len(y_range), len(T_range))) \n", + "\n", + "for i in range(0,len(y_range)):\n", + " for j in range(0,len(T_range)):\n", + " print('Run the case with y=', y_range[i], 'T=', T_range[j])\n", + " load = create_model(T_range[j], y_range[i], 192, opt = opt_, conti=opt_, diff=diff_opt, eps=epsilon, isotherm = isotherm_opt, physsorb = physsorb_opt, chemsorb = chemsorb_opt, dispersion = dispersion_opt, fix_pres = fix_pres_opt, v_fix = v_fix_opt, param_level=0)\n", + " add_model(load)\n", + " try:\n", + " print('try preset solution')\n", + " solve_model(load, 'T313y15_double.csv')\n", + " print('success, ', value(load.temp), value(load.yfeed), value(load.obj))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_opt.csv'%(T_range[j], y_range[i]*100))\n", + " hes_rec[i,j] = value(load.obj)\n", + " \n", + " except:\n", + " print('try another solution')\n", + " solve_model(load, 'T%.0fy%.0f_double.csv'%(T_range[j], y_range[i-1]*100))\n", + " print('success, ', value(load.temp), value(load.yfeed), value(load.obj))\n", + " dataframe = extract2(load)\n", + " dataframe.to_csv('T%.0fy%.0f_opt.csv'%(T_range[j], y_range[i]*100))\n", + " hes_rec[i,j] = value(load.obj)\n", + "\n", + "print(hes_rec)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## DoE result analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "### get the design variable space\n", + "\n", + "y_range = np.linspace(0.1, 0.4, 7)\n", + "#y_range = [0.1]\n", + "\n", + "T_range = np.linspace(293.15, 373.15, 9)\n", + "#T_range = [293.15]\n", + "\n", + "# preset initial point for every combination\n", + "preset = 'T313y15_double.csv'\n", + "\n", + "# finite difference method\n", + "# 0=base; 1=forward difference; -1=backward difference; 2=central difference\n", + "diff_opt = 1\n", + "\n", + "# perturbation\n", + "epsilon=0.1\n", + "\n", + "param = 192 \n", + "\n", + "scaled = False\n", + "\n", + "if scaled:\n", + " s1 = 60\n", + "else:\n", + " s1 = 1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Store the FIM value \n", + "hes_rec = np.zeros((len(y_range), len(T_range))) \n", + "\n", + "# Loop over every y, T\n", + "for i in range(0,len(y_range)):\n", + " for j in range(0,len(T_range)):\n", + " \n", + " try:\n", + " # Extract solutions\n", + " sol = pd.read_csv('/Users/a/Desktop/crcresult22/T%.0fy%.0f_double.csv'%(T_range[j], y_range[i]*100), index_col=1)\n", + " \n", + " # Get time, velocity and CO2 density\n", + " con1, con2 = ext_pres_double(sol, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + " vel1, vel2 = ext_pres_double(sol, 'vel', 'vel_u', unit*mag+1)\n", + "\n", + " FCO2_base = get_fco2(con1, vel1)*s1\n", + " FCO2_upper = get_fco2(con2, vel2)*s1\n", + " \n", + " # Experimental timepoints\n", + " measure = time_points(unit, time_scale)\n", + " \n", + " # FCO2 at corresponding timepoints \n", + " FCO2_umea = FCO2_upper[::mag]\n", + " FCO2_modelmea = FCO2_base[::mag]\n", + " \n", + " dFCO2dp = np.zeros(len(FCO2_umea))\n", + " \n", + " # Jacobian element\n", + " for m in range(len(measure)):\n", + " # parameter in seconds.when scaled, it is in minutes. \n", + " if diff_opt != 0:\n", + " dFCO2dp[m] = (FCO2_umea[m]-FCO2_modelmea[m])/epsilon/(param/s1)\n", + " else:\n", + " dFCO2dp[m] = (FCO2_umea[m]-FCO2_modelmea[m])/2/epsilon/(param/s1)\n", + " \n", + " # Calculate hessian scalar value\n", + " hes = 0\n", + " for n in range(len(dFCO2dp)):\n", + " hes += dFCO2dp[n]**2\n", + " hes_rec[i,j] = hes\n", + " \n", + " except:\n", + " # If cannot find the corresponding file, the code failed with no hessian value\n", + " hes_rec[i,j] = float('NaN')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(hes_rec)\n", + "\n", + "# the base is e\n", + "hes = np.log(hes_rec)\n", + "print(hes)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from numpy import savetxt\n", + "\n", + "hes_rec_u = hes_rec.reshape([len(y_range) *len(T_range), ] )\n", + "\n", + "savetxt('crcresult22.csv', hes_rec_u, delimiter=',', header='no')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "hes_rec_u = pd.read_csv('crcresult24.csv')\n", + "\n", + "hes_bun = np.zeros((len(y_range), len(T_range))) \n", + "\n", + "for i in range(len(y_range)):\n", + " for j in range(len(T_range)):\n", + " hes_bun[i,j] = hes_rec_u.iloc[i*9+j]\n", + " \n", + "print(hes_rec_u.iloc[0])\n", + "print(hes_bun)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Get meshgrids of design variables and results for plotting\n", + "y_mesh = [[0]*len(y_range) for i in range(len(T_range))]\n", + "for i in range(len(T_range)):\n", + " for j in range(len(y_range)):\n", + " y_mesh[i][j] = y_range[j]\n", + "\n", + "# Meshgrid of T\n", + "T_mesh = [[0]*len(y_range) for i in range(len(T_range))]\n", + "for i in range(len(T_range)):\n", + " for j in range(len(y_range)):\n", + " T_mesh[i][j] = T_range[i]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "xLabel=[293, 303, 313, 323, 333, 343, 353, 363, 373]\n", + "yLabel=[10, 15, 20, 25, 30, 35, 40]\n", + "\n", + "\n", + "\n", + "fig=plt.figure()\n", + "ax=fig.add_subplot(111)\n", + "ax.set_yticks(range(len(yLabel)))\n", + "ax.set_yticklabels(yLabel)\n", + "ax.set_ylabel('CO\\N{SUBSCRIPT TWO} feed composition [mol %]')\n", + "ax.set_xticks(range(len(xLabel)))\n", + "ax.set_xticklabels(xLabel)\n", + "ax.set_xlabel('Bed temperature [K]')\n", + "im=ax.imshow(hes, cmap=plt.cm.hot_r)\n", + "ba=plt.colorbar(im)\n", + "ba.set_label('ln(FIM)')\n", + "plt.title('Preliminary DoE for Fixed Bed Model')\n", + "plt.show" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### DoE specific case analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sol1 = pd.read_csv('/Users/a/Desktop/analysis3/T293y10_downpert.csv', index_col=1)\n", + "\n", + "sol2 = pd.read_csv('/Users/a/Desktop/analysis3/T293y10_uppert.csv', index_col=1)\n", + "\n", + "sol3 = pd.read_csv('/Users/a/Desktop/analysis3/T293y40_downpert.csv', index_col=1)\n", + "\n", + "sol4 = pd.read_csv('/Users/a/Desktop/analysis3/T293y40_uppert.csv', index_col=1)\n", + "\n", + "sol5 = pd.read_csv('/Users/a/Desktop/analysis3/T373y10_downpert.csv', index_col=1)\n", + "\n", + "sol6 = pd.read_csv('/Users/a/Desktop/analysis3/T373y10_uppert.csv', index_col=1)\n", + "\n", + "sol7 = pd.read_csv('/Users/a/Desktop/analysis3/T373y40_downpert.csv', index_col=1)\n", + "\n", + "sol8 = pd.read_csv('/Users/a/Desktop/analysis3/T373y40_uppert.csv', index_col=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sol11 = pd.read_csv('/Users/a/Desktop/crcresult21/T293y10_double.csv', index_col=1)\n", + "\n", + "sol12 = pd.read_csv('/Users/a/Desktop/crcresult21/T293y40_double.csv', index_col=1)\n", + "\n", + "sol13 = pd.read_csv('/Users/a/Desktop/crcresult21/T373y10_double.csv', index_col=1)\n", + "\n", + "sol14 = pd.read_csv('/Users/a/Desktop/crcresult21/T373y40_double.csv', index_col=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "con1, _ = ext_pres_double(sol, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel1, _ = ext_pres_double(sol, 'vel', 'vel_u', unit*mag+1)\n", + "time = ext_time(sol, unit*mag+1)\n", + "\n", + "con2, _ = ext_pres_double(sol2, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel2, _ = ext_pres_double(sol2, 'vel', 'vel_u', unit*mag+1)\n", + "\n", + "con3, _ = ext_pres_double(sol11, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel3, _ = ext_pres_double(sol11, 'vel', 'vel_u', unit*mag+1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.plot(time, con1[-1,:]*vel1[-1,:]/con1[-1,-1]/vel1[-1,-1], lw=2, label='293.15K, y=10%, para=192*0.5 ')\n", + "plt.plot(time, con2[-1,:]*vel2[-1,:]/con2[-1,-1]/vel2[-1,-1], lw=2, label='293.15K, y=10%, para=192*1.5')\n", + "plt.plot(time, con3[-1,:]*vel3[-1,:]/con3[-1,-1]/vel3[-1,-1], lw=2, label='293.15K, y=10%, para=192')\n", + "plt.xlabel('time[s]')\n", + "plt.ylabel('Normalized outlet gas flowrate of CO2')\n", + "plt.title('breakthrough curve of combinations with big improvements')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "con3, _ = ext_pres_double(sol3, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel3, _ = ext_pres_double(sol3, 'vel', 'vel_u', unit*mag+1)\n", + "time = ext_time(sol, unit*mag+1)\n", + "\n", + "con4, _ = ext_pres_double(sol4, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel4, _ = ext_pres_double(sol4, 'vel', 'vel_u', unit*mag+1)\n", + "\n", + "con12, _ = ext_pres_double(sol12, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel12, _ = ext_pres_double(sol12, 'vel', 'vel_u', unit*mag+1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.plot(time, con3[-1,:]*vel3[-1,:]/con3[-1,-1]/vel3[-1,-1], lw=2, label='293.15K, y=40%, para=192*0.5 ')\n", + "plt.plot(time, con4[-1,:]*vel4[-1,:]/con4[-1,-1]/vel4[-1,-1], lw=2, label='293.15K, y=40%, para=192*1.5')\n", + "plt.plot(time, con12[-1,:]*vel12[-1,:]/con12[-1,-1]/vel12[-1,-1], lw=2, label='293.15K, y=40%, para=192')\n", + "plt.xlabel('time[s]')\n", + "plt.ylabel('Normalized outlet gas flowrate of CO2')\n", + "plt.title('breakthrough curve of combinations with the biggest improvement')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "con5, _ = ext_pres_double(sol5, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel5, _ = ext_pres_double(sol5, 'vel', 'vel_u', unit*mag+1)\n", + "time = ext_time(sol, unit*mag+1)\n", + "\n", + "con6, _ = ext_pres_double(sol6, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel6, _ = ext_pres_double(sol6, 'vel', 'vel_u', unit*mag+1)\n", + "\n", + "con13, _ = ext_pres_double(sol13, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel13, _ = ext_pres_double(sol13, 'vel', 'vel_u', unit*mag+1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.plot(time, con5[-1,:]*vel5[-1,:]/con5[-1,-1]/vel5[-1,-1], lw=2, label='373.15K, y=10%, para=192*0.5 ')\n", + "plt.plot(time, con6[-1,:]*vel6[-1,:]/con6[-1,-1]/vel6[-1,-1], lw=2, label='373.15K, y=10%, para=192*1.5')\n", + "plt.plot(time, con13[-1,:]*vel13[-1,:]/con13[-1,-1]/vel13[-1,-1], lw=2, label='373.15K, y=10%, para=192')\n", + "plt.xlabel('time[s]')\n", + "plt.ylabel('Normalized outlet gas flowrate of CO2')\n", + "plt.title('breakthrough curve of combinations with the least improvement')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "con7, _ = ext_pres_double(sol7, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel7, _ = ext_pres_double(sol7, 'vel', 'vel_u', unit*mag+1)\n", + "time = ext_time(sol, unit*mag+1)\n", + "\n", + "con8, _ = ext_pres_double(sol8, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel8, _ = ext_pres_double(sol8, 'vel', 'vel_u', unit*mag+1)\n", + "\n", + "con14, _ = ext_pres_double(sol14, 'den_CO2', 'den_CO2_u', unit*mag+1)\n", + "vel14, _ = ext_pres_double(sol14, 'vel', 'vel_u', unit*mag+1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.plot(time, con7[-1,:]*vel7[-1,:]/con7[-1,-1]/vel7[-1,-1], lw=2, label='373.15K, y=40%, para=192*0.5 ')\n", + "plt.plot(time, con8[-1,:]*vel8[-1,:]/con8[-1,-1]/vel8[-1,-1], lw=2, label='373.15K, y=40%, para=192*1.5')\n", + "plt.plot(time, con14[-1,:]*vel14[-1,:]/con14[-1,-1]/vel14[-1,-1], lw=2, label='373.15K, y=40%, para=192')\n", + "plt.xlabel('time[s]')\n", + "plt.ylabel('Normalized outlet gas flowrate of CO2')\n", + "plt.title('breakthrough curve of combinations with big improvements')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pyomo/contrib/doe/draw_figures.ipynb b/pyomo/contrib/doe/draw_figures.ipynb new file mode 100644 index 00000000000..d4ce7289642 --- /dev/null +++ b/pyomo/contrib/doe/draw_figures.ipynb @@ -0,0 +1,59 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "f18e2b96", + "metadata": {}, + "outputs": [], + "source": [ + "import os \n", + "import numpy as np\n", + "import matplotlib.pyplot as plt \n", + "import imageio" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ca13ba62", + "metadata": {}, + "outputs": [], + "source": [ + "with imageio.get_writer('mygif.gif', mode='I') as writer:\n", + " for filename in ['A-0.png', 'A-1.png', 'A-2.png']:\n", + " image = imageio.imread(filename)\n", + " writer.append_data(image)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "804162c7", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index f8bdb8980e3..b6725291f2f 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -6,8 +6,8 @@ import time import pickle from itertools import permutations, product -from sens import get_dsdp -from pyomo.contrib.sensitivity_toolbox.sens import sipopt, sensitivity_calculation +#from sens import get_dsdp +#from pyomo.contrib.sensitivity_toolbox.sens import sipopt, sensitivity_calculation from idaes.apps.uncertainty_propagation.sens import get_dsdp #from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp diff --git a/pyomo/contrib/doe/fixed_bed_doe.ipynb b/pyomo/contrib/doe/fixed_bed_doe.ipynb new file mode 100644 index 00000000000..0fc20661f7e --- /dev/null +++ b/pyomo/contrib/doe/fixed_bed_doe.ipynb @@ -0,0 +1,623 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Fixed bed model example\n", + "\n", + "Jialu Wang (jwang44@nd.edu) and Alex Dowling (adowling@nd.edu), University of Notre Dame\n", + "\n", + "This notebook conducts design of experiments for the fixed bed CO$_2$ adsorption experiment. The DoE package is used and the DoE results are shown by heatmaps of three optimalities, A-, D- and E-optimalities. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Import Model" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "from pyomo.environ import *\n", + "from pyomo.dae import *\n", + "\n", + "import numpy as np\n", + "from scipy.interpolate import interp2d\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alpha option:\n", + "1 / (1 + exp(-x))\n", + "WARNING: DEPRECATED: The pyomo.core.kernel.component_set module is deprecated.\n", + " Import ComponentSet from pyomo.common.collections. (deprecated in 5.7.1)\n", + " (called from :228)\n", + "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", + " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", + " (deprecated in 6.1) (called from :228)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:289: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " if diff is 0:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:291: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif diff is 1:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:293: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif diff is -1:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:295: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif diff is 2:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:305: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " if i is 'base' or 'forward_ua' or 'backward_ua':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:307: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'forward_k':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:309: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'backward_k':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:661: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'forward_ua':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:663: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'backward_ua':\n" + ] + } + ], + "source": [ + "import fixed_bed_model_indexed_dynamic as mod\n", + "from fim_doe import * " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define Fixed Bed Model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# Define the fixed bed model timepoints \n", + "NFEt=68\n", + "#NFEt = 102\n", + "time_scale=3200\n", + "#time_scale = 4800\n", + "collo=False\n", + "\n", + "# a list of timepoints for creating the model\n", + "exp_time = mod.time_points(NFEt, time_scale)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def add_model(doe, timepoints, time_start=0):\n", + " '''\n", + " add variables, equations and discretize the model time\n", + " Argument:\n", + " timepoints: the timesteps\n", + " time_start: where the timesteps start. For self defined timepoints it's 0. For experimental data it's -10.\n", + " '''\n", + " mod.add_variables(doe, timesteps=timepoints, start=time_start)\n", + " \n", + " mod.add_equations(doe)\n", + " \n", + " print ('the number of timepoints is', NFEt)\n", + " \n", + "def discretize(doe, no_points=68):\n", + " '''\n", + " no_points: how many time invertals to divide. For self defined timepoints it's 69. For experimental data it's 68. \n", + " '''\n", + " if collo:\n", + " TransformationFactory('dae.collocation').apply_to(doe, nfe=no_points, ncp=3, scheme='LAGRANGE-RADAU', wrt=doe.t)\n", + " else:\n", + " TransformationFactory('dae.finite_difference').apply_to(doe, nfe=no_points, scheme='BACKWARD', wrt=doe.t)\n", + " \n", + " \n", + "def initialize(doe, init_point):\n", + " '''\n", + " Argument: \n", + " init_point: initial point, csv file\n", + " '''\n", + " # Initialize \n", + " print('The init point is', init_point) \n", + " store = pd.read_csv(init_point)\n", + " position_max = store['position'].max()\n", + " store['position'] = store['position'] / position_max\n", + "\n", + " mod.initial_bed_csv(doe, store)\n", + " mod.fix_initial_bed(doe)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def fixed_bed_run(dv=[313.15, 0.15], param_init = [212, np.log(5.0E6)], init_point='20200729_energy.csv', energy_opt=True):\n", + " '''\n", + " Create model function of fixed bed model specifically \n", + " \n", + " init_point: initial solutions\n", + " energy_opt: if the energy balance is toggled on\n", + " '''\n", + " test = mod.create_model(temp=dv[0], temp_bath=313.15, y=dv[1], para=param_init[0], ua=param_init[1], opt=True, conti=False, k_aug=False, diff=0, energy=energy_opt, doe_model=True)\n", + " add_model(test, exp_time)\n", + " discretize(test, no_points=NFEt)\n", + " initialize(test, init_point)\n", + " return test" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def fixed_bed_isothermal(dv=[313.15, 0.15], param_init = [212], init_point='20200729_energy.csv', energy_opt=False):\n", + " '''\n", + " Create model function of fixed bed model specifically \n", + " \n", + " init_point: initial solutions\n", + " energy_opt: if the energy balance is toggled on\n", + " '''\n", + " test = mod.create_model(temp=dv[0], temp_bath=313.15, y=dv[1], para=param_init[0], ua=np.log(5.0E6), opt=True, conti=False, k_aug=False, diff=0, energy=energy_opt, doe_model=True)\n", + " add_model(test, exp_time)\n", + " discretize(test, no_points=NFEt)\n", + " initialize(test, init_point)\n", + " return test" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Defines Problem \n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[293.15]\n", + "[0.4]\n" + ] + } + ], + "source": [ + "T_range = [293.15]\n", + "y_range = [0.4]\n", + "#T_range = [293.15, 303.15, 313.15, 323.15, 333.15, 343.15, 353.15, 363.16, 373.15]\n", + "#T_range = [293, 303, 313, 323,333, 343, 353, 363, 373]\n", + "#y_range = [0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4]\n", + "\n", + "print(T_range)\n", + "print(y_range)\n", + "\n", + "param_initial_re = {'fitted_transport_coefficient': 212 ,\n", + " 'ua': np.log(5.0E3)}\n", + "\n", + "design_ranges_re = {'temp_orig': T_range,\n", + " 'yfeed': y_range}" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def cut_jac(jaco_sam, add=0):\n", + " if add==0:\n", + " jaco=np.zeros((2,103))\n", + " jaco[0] = jaco_sam['fitted_transport_coefficient'].iloc[:103]\n", + " jaco[1] = jaco_sam['ua'][:103]\n", + " if add==1:\n", + " jaco=np.zeros((2,206))\n", + " jaco[0] = jaco_sam['fitted_transport_coefficient'][:206]\n", + " jaco[1] = jaco_sam['ua'][:206]\n", + " elif add==2:\n", + " jaco=np.zeros((2,206))\n", + " jaco[0][:103] = jaco_sam['fitted_transport_coefficient'][:103]\n", + " jaco[1][:103] = jaco_sam['ua'][:103]\n", + " jaco[0][103:206] = jaco_sam['fitted_transport_coefficient'][206:309]\n", + " jaco[1][103:206] = jaco_sam['ua'][206:309]\n", + "\n", + " return jaco\n", + "\n", + "def cutted_fim(name, option):\n", + " kitty = pd.read_csv(name)\n", + " print(kitty)\n", + " kitty_cut = cut_jac(kitty, add=option)\n", + " jaco_store = pd.DataFrame({'A1': kitty_cut[0],\n", + " 'A2': kitty_cut[1]})\n", + " fim = jaco_store.T@jaco_store\n", + " return fim\n", + " \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Unnamed: 0 temp_orig yfeed fitted_transport_coefficient ua\n", + "0 0 0 0 0.000000e+00 0.000000e+00\n", + "1 1 0 0 5.093802e-06 -3.181793e-08\n", + "2 2 0 0 2.859918e-05 -1.018305e-07\n", + "3 3 0 0 1.209566e-04 -5.349883e-07\n", + "4 4 0 0 5.350392e-04 -2.378592e-06\n", + ".. ... ... ... ... ...\n", + "304 304 0 0 8.010630e-07 -1.731524e-06\n", + "305 305 0 0 7.037443e-07 -1.501550e-06\n", + "306 306 0 0 6.181864e-07 -1.302124e-06\n", + "307 307 0 0 5.429882e-07 -1.129186e-06\n", + "308 308 0 0 4.769987e-07 -9.791961e-07\n", + "\n", + "[309 rows x 5 columns]\n", + " Unnamed: 0 temp_orig yfeed fitted_transport_coefficient ua\n", + "0 0 0 0 0.000000e+00 0.000000e+00\n", + "1 1 0 0 4.701993e-07 -1.601560e-08\n", + "2 2 0 0 8.295586e-08 -4.081273e-09\n", + "3 3 0 0 1.151587e-06 -7.007071e-09\n", + "4 4 0 0 5.089834e-06 -2.268664e-08\n", + ".. ... ... ... ... ...\n", + "304 304 0 0 1.366828e-06 -3.084031e-06\n", + "305 305 0 0 1.201531e-06 -2.675003e-06\n", + "306 306 0 0 1.056097e-06 -2.320311e-06\n", + "307 307 0 0 9.281905e-07 -2.012737e-06\n", + "308 308 0 0 8.159162e-07 -1.746207e-06\n", + "\n", + "[309 rows x 5 columns]\n", + "The prior information FIM: [[ 3.54263178e-02 -2.38903403e-04]\n", + " [-2.38903403e-04 1.63872389e-06]]\n", + "Eigenvalue of the prior experiments FIM: [3.54279289e-02 2.76368818e-08]\n", + "Eigenvector of the prior experiments FIM: [[-0.00674352 -0.99997726]\n", + " [-0.99997726 0.00674352]]\n" + ] + } + ], + "source": [ + "prior_293_40 = cutted_fim('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/jacobian_293_40_102_5e6.csv', 0)\n", + "prior_373_40 = cutted_fim('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/jacobian_373_40_102_5e6.csv',0) \n", + "\n", + "prior_all = prior_293_40 + prior_373_40 \n", + "prior_pass=prior_all.to_numpy()\n", + "\n", + "print('The prior information FIM:', prior_pass)\n", + "print('Eigenvalue of the prior experiments FIM:', np.linalg.eigvals(prior_pass))\n", + "print('Eigenvector of the prior experiments FIM:', np.linalg.eigh(prior_pass)[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The prior information FIM: [[ 2.17896149e-02 -1.40959783e-04]\n", + " [-1.40959783e-04 9.20117406e-07]]\n", + "Eigenvalue of the prior experiments FIM: [2.17905267e-02 8.23034696e-09]\n", + "Eigenvector of the prior experiments FIM: [[-0.00646899 -0.99997908]\n", + " [-0.99997908 0.00646899]]\n" + ] + } + ], + "source": [ + "prior_293_40 = pd.read_csv('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/fim_293_40_scale_5e6.csv')\n", + "prior_373_40 = pd.read_csv('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/fim_373_40_scale_5e6.csv') \n", + "\n", + "prior_all = prior_293_40 \n", + "prior_pass=prior_all.to_numpy()\n", + "\n", + "print('The prior information FIM:', prior_pass)\n", + "print('Eigenvalue of the prior experiments FIM:', np.linalg.eigvals(prior_pass))\n", + "print('Eigenvector of the prior experiments FIM:', np.linalg.eigh(prior_pass)[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Compute FIM" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# choose from 'simultaneous', 'sequential', 'sipopt'\n", + "#sensi_opt = 'simultaneous_finite'\n", + "sensi_opt = 'sequential_finite'\n", + "#sensi_opt = 'sequential_sipopt'\n", + "#sensi_opt = 'sequential_kaug'\n", + "#sensi_opt = 'direct_kaug'\n", + "\n", + "# Define experiments\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Perform sequential sensitivity analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Decide if pass any prior information\n", + "#exist_info=prior_pass\n", + "exist_info = None\n", + "\n", + "# Decide if scaling \n", + "scale_option=True\n", + "\n", + "save_option='total'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# create the object\n", + "searcher = DesignOfExperiments(fixed_bed_isothermal, mod.extract_fixed, design_ranges_re, param_initial_re, prior_FIM=exist_info)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# solve the doe grid search problem \n", + "jaco_in, fim_info = searcher.run_grid_search(scale=scale_option, save_jac=save_option)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(fim_info)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Generate prior info" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def prior_generate(path, names):\n", + " jaco1 = pd.read_csv(path)\n", + " #jaco1 = jaco[(jaco[self.dv[0]]==0) & (jaco[self.dv[1]]==0)]\n", + " jaco_array = []\n", + " for name in list(param_initial_re.keys()):\n", + " jaco_array.append(list(jaco1[name]))\n", + "\n", + " jaco_store = pd.DataFrame({'A1': jaco_array[0],\n", + " 'A2': jaco_array[1]})\n", + " #print(jaco_store)\n", + " #jaco_array = np.asarray(jaco_array)\n", + "\n", + "\n", + " fim = jaco_store.T@jaco_store \n", + " fim.to_csv(names,index=False)\n", + " \n", + "prior_generate('jacobian_373_40_102_5e6.csv', 'fim_373_40_102_5e6.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load from Jacobian files" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# for only k\n", + "\n", + "prior_293_40 = [0.02034514]\n", + "prior_293_10 = [0.00078969]\n", + "prior_373_10 = [0.0001321]\n", + "prior_373_40 = [0.00106497]\n", + "\n", + "prior_pass = [prior_373_40[0] + prior_293_40[0]]\n", + "print(prior_pass)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Decide if pass any prior information\n", + "exist_info=prior_pass\n", + "#exist_info = None\n", + "\n", + "# Decide if scaling \n", + "scale_option=True\n", + "\n", + "save_option=None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def cutting(jaco_sam, add=0):\n", + " if add==0:\n", + " jaco=np.zeros((2,103))\n", + " jaco[0] = jaco_sam[0][:103]\n", + " jaco[1] = jaco_sam[1][:103]\n", + " if add==1:\n", + " jaco=np.zeros((2,206))\n", + " jaco[0] = jaco_sam[0][:206]\n", + " jaco[1] = jaco_sam[1][:206]\n", + " elif add==2:\n", + " jaco=np.zeros((2,206))\n", + " jaco[0][:103] = jaco_sam[0][:103]\n", + " jaco[1][:103] = jaco_sam[1][:103]\n", + " jaco[0][103:206] = jaco_sam[0][206:309]\n", + " jaco[1][103:206] = jaco_sam[1][206:309]\n", + "\n", + " return jaco\n", + "\n", + "def cutting_konly(jaco_sam):\n", + " jaco=np.zeros((1,103))\n", + " jaco[0] = jaco_sam[0][:103]\n", + " \n", + " return jaco" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# First define the searcher object\n", + "searcher = DesignOfExperiments(fixed_bed_run, mod.extract_fixed, design_ranges_re, param_initial_re, prior_FIM=exist_info)\n", + "\n", + "jaco_in, fim_in, dict_jaco = searcher.read_csv(file='/Users/wangjialu/Desktop/final-result/fixed_bed/jacobian_scale_5e6_102.csv', \n", + " visual=True, cut=True, cut_func=cutting)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "print(fim_in)\n", + "\n", + "prior_293_40 = fim_in[(0,6)]\n", + "prior_293_10 = fim_in[(0,0)]\n", + "prior_373_10 = fim_in[(8,0)]\n", + "prior_373_40 = fim_in[(8,6)]\n", + "\n", + "print(prior_293_40)\n", + "print(prior_293_10)\n", + "print(prior_373_10)\n", + "print(prior_373_40)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualize DoE results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "jaco_in.calculate_criteria(save=True)\n", + "jaco_in.heatmap('DoE for Fixed Bed Model', 'Bed temperature [K]', 'CO\\N{SUBSCRIPT TWO} feed composition [mol %]')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py b/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py new file mode 100644 index 00000000000..7cf4443e339 --- /dev/null +++ b/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py @@ -0,0 +1,3211 @@ +import matplotlib.pyplot as plt +from pyomo.environ import * +from pyomo.dae import * + +import numpy as np +from scipy.interpolate import interp2d +import pandas as pd + +### Process options + +# Options related to the sigmoid function +# two sigmoid functions, or 0/1. +alpha_option = 2 +# If alpha is treating as a variable or a parameter +alpha_variable = False +# eps_alpha: small number used in smoothed absolute value for alpha +eps_alpha = 1.0E-6 +# scale alpha. [??-bar]^2. When alpha_scale = 100, then [??-bar] is [hecto-bar]. +alpha_scale = 500 + +print("alpha option:") +if alpha_option == 1: + print("1 / sqrt(eps + x*x)") +elif alpha_option == 2: + print("1 / (1 + exp(-x))") +else: + print("WARNING! Not Supported") + + +### Data and model constants + +# Molecular weight [g/mol] +MW = {'N2':28.013, 'CO2':44.010} + +# Number of axial grid elements +Ngrid = 20 + +# R as gas constant [kJ/mol/K] +RPV = 8.31446261815324E-3 + +# CO2 partial pressure when the pressure is too low , 0.003[MPa] +# Value from ACM +plin = 0.03 + +# Radius of the bed [m] +# Value from MosaicDataAssessment.docx +rbed = 2.3E-3 + +# Inlet gas volume rate [m^3/min] +# Value from Breakthrough-dmpn-Mg2dobpdc.xlsx +# Value is given as 10 sccm (standard cubic centimeters per minute), 1 m^3 = 1E6 cm^3 +volume_in_standard = 1.0E-5 + +# Inlet assumption 1 +# volume converted +# inlet temp 313.15 +# inlet pressure unchanged +totp_f = 1 + + + +# CO2 viscosity, [Pa*s] = [kg/m/s] +# Value from the viscosity data(found online and uploaded to git repo) +# Get from interpolation for CO2 at 313.15K +mu_co2 = 1.56E-5 + +# CO2 mole mass, [kg/mol] +M_co2 = 0.044010 + +# Total feed concentration [kmol/m^3] +# Calculation result is consistent with that given by Breakthrough-dmpn-Mg2dobpdc.xlsx +# Helpful converstions: J = kg*m2/s2, Pa = kg/m/s2, 1 MPa = 1000 * 1000 Pa +# LHS: mol/m3 +# RHS: kPa/ (kJ/mol) = mol/m3 = mol/m3 +###totden_f = totp_f*100/(den_feed_temp*RPV) + +# Inlet velocity [cm/s] +# RHS: m3/min/(m2)/(60s/min) *100cm/m = cm/s +#vel_f = volume_in* 100 /(np.pi*rbed*rbed) / 60 +vel_f = 1.16638 + +# Check inlet molar flowrate (which should be 0.4467mmol/min) +# LHS: mmol/min +# RHS: mol/m3 * 1000 mmol/mol * m3/min +#mol_in = 0.4467 + +# Porosity of the bed [\] +# The interparticle voidage, value from MosaicDataAssessment.docx +ads_epsb = 0.68 + +# Porosity of the particle [\] +# Intra-particle voidage, value from MosaicDataAssessment.docx +ads_epsp = 0.33 + + +# Density of the solid (no external voidage, only internal voidage) [kg/m3] +# Value from MosaicDataAssessment.docx +#den_bed = 1000 +den_s = 1000 + +# Solid density [kg/m3] +# Value of \rho_b in ACM +den_b = den_s*(1-ads_epsb) + +# sorbent specific heat [J/kg/K] +# value from Aug.report +cps = 1457 + +# Length of bed [m] +# Value from MosaicDataAssessment.docx +Lbed = 0.1334 + +# Length of each axial element [m] +dz = Lbed/Ngrid + +# Viscosity [Pa*s] +# Calculated from viscosity data(found online and have uploaded to git repo) +# fp_mu = (n2_mu(313k,1atm) + co2_mu(313k,1atm))/2, kg/m/s = Pa * s +fp_mu = 1.7035E-5 + + +# Initialization for the axial dispersion coefficients +# Values set by no reference +Dax = {'N2':0.0001, 'CO2':0.00005} + +## Bounds +# Used to use as a tighter bound[bar] +#P_low = 0.9 +#P_high = 1.1 + +P_low = 0.1 +P_high = 21 + +# Total density, mol/m3, MPa/RPV/temp +# LHS: mol/m3 # RHS: kPa/(kJ/mol) = mol/m3 +tden_low = P_low*100 / RPV / 313.15 +tden_high = P_high*100 / RPV / 313.15 + +# Adsorption kinetics constants +# Value from ParameterValues.xlsx +n_max = 3.82 # mol/kg +nmax_p1 = 3.52 # mol/kg +Ka = -0.92 # dimensionless +Kb = 324.86 # K +Kc = -71.14 # dimensionless +Kd = 28386.66 # K +b_a0 = 28.56 # 1/bar +b_b0 = 0.62 # 1/bar +Q_sta = 72.56 # kJ/mol +Q_stb = 43.83 # kJ/mol +T0 = 318 # K +n_a1 = 0.21 # dimensionless +E_na = 11.29 # kJ/mol + +# Use kinetic parameters in March excel, not in Aug report +K_c0 = 0.011882 #1/s +K_p0 = 0.07895 #1/s +E_c = 23.20784 #kJ/mol +E_p = 7.17967 #kJ/mol + +# Radius of particles [m] +# Value from MosaicDataAssessment.docx +radp = 2625.0E-7 + +# Film mass transfer coefficient [m/s] +# N2 and CO2 values from (Cavenati et al., 2006) +k_f ={'N2':2.56E-4, 'CO2':1.92E-4} + +# Value from emails with Ryan, Aug 19, 2019 [m^2/s] +# D_m = 0.53cm2/s = 0.53 E-4 m2/s = 5.3E-5 m^2/s +D_m = 5.3E-5 + +# Small number used in isotherm +spp_small_number = 1E-8 +#spp_small_number=1E-6 + +# Replace 0 for every lower bound to be this number +small_bound = 1E-8 +#small_bound=1E-6 + +#small_initial = 1E-6 +small_initial=0.01 + +# Initialize alpha +alpha0 = 1 + +# pore diameter +# fitted value from WVU report, [m] +rpore = 1.13E-11 + +# tortuosity +# fitted value from WVU report, [dimensionless] +tort = 50 + +# Reference temperature for calculation of h +temp_base = 298.15 + + +def create_model(scena, temp=313.15, temp_bath=313.15, y=0.15, para=212, ua=5.0E6, opt = True, conti=False, optimize_trace=True, diff=0, eps=0.01, energy = True, doe_model=True, est_tr=False, est_ua=False, k_aug=False, temp_option=1, isotherm = True, chemsorb = True, physsorb = True, dispersion = False, fix_pres = False, v_fix=False): + ''' + Creates a concrete Pyomo model and adds sets/parameters. + Toggles are saved into the model object. + + Arguments: + temp: the gas feed temperature, [K] + temp_bath: the water bathing temperature, [K]. If the energy balance is not included, temp == temp_bath + y: CO2 feed composition, [0,1] + para: the value of fitted_transport_parameter + opt: if true, toggle on the design of experiments objective + conti: if true, make the experiment design decisions (T, yinlet) degrees of freedom + diff: 0: no derivative estimate, 1: forward, -1: backward, 2: central + eps: step size for the finite difference perturbation + energy: decide if energy balance is added to the model + doe_model: if this model is for the DesignOfExperiment.py. if true, k and ua will be defined as variable, not expressions. + est_tr: if transport_coefficient will be estimated + est_ua: if ua will be estimated + k_aug: if this model is created for k_aug solver to get sensitivities + temp_option: 1: Twall=313.15K; 2: Twall=Tinlet; 3(to be added):Tinlet=313.15K, Twall=specified temp. + isotherm: decide if isotherm part is opened. Must open if one of the chemsorb/physsorb is opened. + chemsorb: decide if chemical adsorption part is opened to calculate adsorption kinetics + physsorb: decide if physical adsorption part is opened to calculate adsorption kinetics + dispersion: decide if dispersion part is included in gas molar balance calculation + fix_pres: decide if fixing the pressure and removing the ergun equation. For debugging + v_fix: decide if fixing the velocity and removing the ergun equation. For debugging + + Return: the model + ''' + + # create concrete Pyomo model + m = ConcreteModel() + + # Store model toggles + m.para = para + m.ua_init = ua + m.opt = opt + m.conti = conti + m.optimize_trace = optimize_trace + m.diff = diff + m.eps = eps + m.energy = energy + m.doe_model = doe_model + m.est_tr = est_tr + m.est_ua = est_ua + m.k_aug = k_aug + m.temp_option = temp_option + m.isotherm = isotherm + m.chemsorb = chemsorb + m.physsorb = physsorb + m.dispersion = dispersion + m.fix_pres = fix_pres + m.v_fix = v_fix + + m.temp_bath = temp_bath + m.scena_all = scena + m.scena = Set(initialize=scena['scena-name']) + + # If DOE is open, estimation cannot be opened, vice versa + #assert (m.est_tr or m.est_ua) != m.opt, 'Parameter estimation and design of experiment cannot be run simultaneously' + assert m.opt >= m.conti, 'DoE must be opened when continuous DoE is opened' + + # declare components set + m.COMPS = Set(initialize=['N2','CO2']) + + # declare components that adsorb + m.SCOMPS = Set(initialize=['CO2'], within=m.COMPS) + + # components that didn't adsorb + m.USCOMP = Set(initialize=['N2'], within=m.COMPS) + + # composition of feed + yfeed = {'N2':1-y, 'CO2':y} + + # Original bed temperature, [K] + if m.doe_model: + m.temp_orig = Var(initialize=temp, bounds=(100, 600)) + elif m.conti: + m.temp_orig = Var(initialize=temp, bounds=(293, 373)) + else: + m.temp_orig = temp + + print('The inlet gas temperature is ', value(m.temp_orig)) + + if m.conti: + m.yfeed = Var(m.COMPS, initialize=yfeed, bounds=(0.1,0.45), within=NonNegativeReals) + elif m.doe_model: + m.yfeed = Var(initialize=y, bounds=(0,1), within=NonNegativeReals) + else: + m.yfeed = Param(m.COMPS, initialize=yfeed) + + + + # Film mass transfer coefficient, m/s + m.kf = Param(m.COMPS, initialize=k_f) + + # Molecular weight [kg/kmol] + m.MW = Param(m.COMPS,initialize=MW) + + # Dax, the dispersion efficient + m.Dax = Param(m.COMPS,initialize=Dax) + + # Manually discretize axial dimension + m.zgrid = Set(initialize=range(0,Ngrid)) + + # Initial bed N2 concentration at time 0.0 [mol/m3] + # LHS: mol/m3 + # RHS: [kPa] / ([K] * [kJ/mol/K]) = Pa/(J/mol) = mol/m^3 + m.den_inert = Param(initialize=totp_f*100/(m.temp_bath*RPV)) + + # Total feed density, [mol/m3] + m.totden_f = Param(initialize=totp_f*100/(m.temp_orig*RPV)) + + print('The inlet feed density is', value(m.totden_f), '[mol/m3]') + + + + def den_f_rule(m,i): + return m.yfeed[i]*value(m.totden_f) + + def den_f_rule_doe(m,i): + if i=='CO2': + return m.yfeed*value(m.totden_f) + elif i=='N2': + return (1-m.yfeed)*value(m.totden_f) + + if m.doe_model: + m.den_f = Expression(m.COMPS, rule=den_f_rule_doe) + else: + m.den_f = Expression(m.COMPS, rule=den_f_rule) + + # Estimate coefficient for parameter estimation + if not m.est_tr: + if m.doe_model: + m.fitted_transport_coefficient = Param(m.scena, initialize=m.scena_all['fitted_transport_coefficient'], mutable=True) + elif m.k_aug: + m.fitted_transport_coefficient = Var(m.scena, initialize=m.para) + #m.fitted_transport_coefficient.setlb(m.para) + #m.fitted_transport_coefficient.setub(m.para) + else: + m.fitted_transport_coefficient = Expression(m.perturb, rule=perturbations_k) + else: + m.fitted_transport_coefficient = Var(initialize=para,bounds=(100,300)) + + # energy balance is added + if not m.energy: + # For continuous, temp and yfeed will be variable + if m.conti: + m.temp = Var(initialize = m.temp_orig, bounds=(293.15, 373.15), within=NonNegativeReals) + else: + m.temp = Param(initialize=m.temp_orig) + + # define inv_k_oc, inv_k_op according to perturbation + # inv_k_oc is in [1/s], therefore the k_trans is in [1/s] + def inv_k_oc_init(m, i): + return m.fitted_transport_coefficient[i]+1/(K_c0*exp(-E_c/(RPV*m.temp) + E_c/(RPV*T0))) + + def inv_k_op_init(m, i): + return m.fitted_transport_coefficient[i]+1/(K_p0*exp(-E_p/(RPV*m.temp) + E_p/(RPV*T0))) + + # For square problem/optimization problem, parameter, k_oc/p are parameters + if not m.est_tr: + m.inv_K_oc = Param(m.perturb,initialize=inv_k_oc_init) + m.inv_K_op = Param(m.perturb,initialize=inv_k_op_init) + + # Eq 14 in Aug. 2018 WVU report + # LHS: [1/bar] + # RHS: [1/bar] * exp( [kJ/mol]/[kJ/mol/K * K] ) = [1/b] * exp( [ dimensionless ] ) + m.b_a = Param(initialize=b_a0*exp(Q_sta/(RPV*T0)*(T0/m.temp-1))) + + # Eq 15 in Aug. 2018 WVU report + # LHS: dimensionless + # RHS: dimensionless * exp( [kJ/mol]/[kJ/mol/K * K] ) = [dimensionless] * exp([dimensionless ]) + m.n_a = Param(initialize=n_a1*exp(E_na/(RPV*T0)*(T0/m.temp-1))) + + #m.inv_n_a = Param(initialize=1/m.n_a) + inv_n_a = 1/m.n_a + + # Eq 13 in Aug. 2018 WVU report + # LHS: dimensionless + # RHS: dimensionless + K/K + m.K_eq = Param(initialize=exp(Ka + Kb/m.temp)) + + ### Physical adsorption isotherm + + # Eq 14 in Aug. 2018 WVU report + # LHS: bar-1 + # RHS: bar-1 * (kJ/mol)/(kJ/mol/K * K) + m.b_b = Param(initialize = b_b0*exp(Q_stb/(RPV*T0)*(T0/m.temp-1))) + + # Eq 16 in Aug. 2018 WVU report + # LHS: mol/kg + # RHS: mol/kg * 1 + m.nmax_p = Param(initialize=nmax_p1*(exp(Kc+Kd/m.temp)/(1+exp(Kc+Kd/m.temp)))) + + # Eq 12 in Aug. 2018 WVU report + # LHS: mol/kg + # RHS: mol/kg * 1 / 1 = mol/kg + m.nmax_c = Param(initialize=n_max*m.K_eq/(1+m.K_eq)) + + # Linear pressure adsorption when P < Plinear + # According to ACM + # LHS: mol/kg + # RHS: mol/kg * ((1/bar * bar )/ (bar^-1 * 10bar)) + nplin_num = (m.b_a*plin)**(inv_n_a) + nplin_de = 1+(m.b_a*plin)**(inv_n_a) + m.nplin = Param(initialize=m.nmax_c*(nplin_num/nplin_de)) + + return m + + + +def bounds_velocity(m, z, t): + ''' Add bounds to velocity [cm/s] + ''' + if t == 0.0: + #return (1E-4, 0.3) # bounds for 313K, 0.15 + return (1E-2, 30) # bounds for DoE problem + else: + #return (0.8,1.4) # bounds for 313K, 0.15 + return (0.01, 5.0) # bounds for DoE problem + +def bounds_velocity_pert(m, j, z, t): + ''' Add bounds to velocity [cm/s] + ''' + # Change to cm/s + if t == 0.0: + #return (1E-4, 0.3) # bounds for 313K, 0.15 + return (1E-2, 30) # bounds for DoE problem + else: + #return (0.8,1.4) # bounds for 313K, 0.15 + return (0.01, 5.0) # bounds for DoE problem + +def breakthrough_bounds(z,t): + ''' Check if position and time coordinates in region with + no breakthrough. + + We draw a line between (t = 50% breakthrough, end of bed) and + (t=0, z = 25% bed length). Anything "above" this line we designate as in the + region of no breakthrough and return True. We impose tighter bounds if true. + ''' + + t50 = 1500 # 50% breakthrough time [s] + t0_intercept = 0.4 + + # return (t0_intercept - 1)/t50*value(t) + t0_intercept > value(z)/Ngrid + return False + + +def den_bounds(m,c,t,z): + '''[mol/m3] + ''' + if breakthrough_bounds(z,t): + if c == 'N2': + return (0.9*tden_low, tden_high) + elif c == 'CO2': + return (small_bound, 0.1*tden_high) + else: + return (small_bound, tden_high) + else: + return (small_bound, tden_high) + +def den_bounds_pert(m,j,c,t,z): + if breakthrough_bounds(z,t): + if c == 'N2': + return (0.9*tden_low, tden_high) + elif c == 'CO2': + return (small_bound, 0.1*tden_high) + else: + return (small_bound, tden_high) + else: + return (small_bound, tden_high) + +def surface_partial_pressure_bounds(m,c,z,t): + ''' [bar] + ''' + + if breakthrough_bounds(z,t): + return (1E-5, 0.5) + else: + return (1E-8, P_high) + +def surface_partial_pressure_bounds_pert(m,j,c,z,t): + ''' [bar] + ''' + if breakthrough_bounds(z,t): + return (1E-5, 0.5) + else: + return (small_bound, P_high) + +def phys_star_bounds(m,c,z,t): + '''[mmol/g]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.1) + else: + #return (0.0, 0.8) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def phys_star_bounds_pert(m,j,c,z,t): + '''[mmol/g]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.1) + else: + #return (0.0, 0.8) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def chem_star_bounds(m,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.3) + else: + #return (0.0, 2.6) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def chem_star_bounds_pert(m,j,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.3) + else: + #return (0.0, 2.6) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def phys_loading_bounds(m,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.1) + else: + #return (0.0, 0.8) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def phys_loading_bounds_pert(m,j,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.1) + else: + #return (0.0, 0.8) # bounds for 313K, 0.15 + return (small_bound, 10.0) + + +def chem_loading_bounds(m,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 2.0) + else: + #return (0.0, 2.6) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def chem_loading_bounds_pert(m,j,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 2.0) + else: + #return (0.0, 2.6) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def jac_bounds(m, t): + '''very wide bounds based on units + ''' + return (-1, 1) + +def add_variables(m,tf=3600, timesteps=None, start=0): + ''' + Add variables to the Pyomo model using the toggles previously specified. + + Arguments: + m: the model + tf: the time scale [s] + timesteps: time of the process, [s]. + single number: final time + array: time points (non-uniform discretization) + + Return: None + ''' + + # Store option + m.dynamic = dynamic + + # Time [s] + if timesteps is None: + m.t = ContinuousSet(bounds=(0,tf)) + m.tf = tf + else: + m.t = ContinuousSet(bounds=(start,max(timesteps)), initialize=timesteps) + m.tf = max(timesteps) + m.t0 = min(timesteps) + + + # Gas phase density (concentration) [mol/m^3] + m.C = Var(m.scena, m.COMPS, m.zgrid, m.t, bounds=den_bounds_pert) + + # Gas phase density derivative, [mol/m^3] / [s] + m.dCdt = DerivativeVar(m.C, wrt=m.t) + + # Total gas phase density [mol/m3] + m.total_den = Var(m.scena, m.zgrid, m.t, bounds=(tden_low, tden_high)) + + # Gas phase velocity [cm/s] + m.v = Var(m.scena, m.zgrid, m.t, initialize=0.1, bounds=bounds_velocity_pert) + if m.v_fix: + m.v.fix() + + # Gas pressure [bar] + #m.kfilm = Var(m.perturb, m.zgrid, m.t, initialize=1.92E-4, bounds=(0,1)) + + # Gas pressure [bar] + m.P = Var(m.scena, m.zgrid, m.t,initialize=1, bounds=(P_low, P_high)) + if m.fix_pres: + m.P.fix() + + # Temperature [K] + if m.energy: + # temperature is initialized to be the T_inlet. As this is the gas temperature, it should be started to be the inlet gas temperature. + #m.temp = Var(m.perturb, m.zgrid, m.t, initialize=value(m.temp_orig), bounds=(273.15,500.15), within=NonNegativeReals) + m.temp = Var(m.scena, m.zgrid, m.t, initialize=m.temp_bath, bounds=(273.15,500.15), within=NonNegativeReals) + #m.temp = Var(m.perturb, m.zgrid, m.t, initialize=m.temp_water, bounds=(273.15,1000), within=NonNegativeReals) + m.dTdt = DerivativeVar(m.temp, wrt=m.t) + + + if not m.est_ua: + # W/m3/K, value 0.2839 from [Dowling, 2012] + # Estimated value 1.4E7 W/m3/K (DOE run2) + # 1.4E4 kW/m3/K --> 1.4E1 W/cm3/K + if m.doe_model: + m.ua = Param(m.scena, initialize=m.scena_all['ua'], mutable=True) + elif m.k_aug: + m.ua = Var(m.scena, initialize=m.ua_init) + #m.ua.setlb(m.ua_init) + #m.ua.setub(m.ua_init) + else: + m.ua = Expression(m.scena, rule=perturbations_ua) + else: + m.ua = Var(initialize=m.ua_init,bounds=(5, 12)) + #m.ua = Var(initialize=m.ua_init, bounds=(10,20)) + + # define inv_k_oc, inv_k_op according to perturbation + def inv_k_oc_init_en(m, j, z, t): + ''' + Calculating 1/k_oc in [1/s] + ''' + return m.fitted_transport_coefficient[j]+1/(K_c0*exp(-E_c/(RPV*m.temp[j,z,t]) + E_c/(RPV*T0))) + + def inv_k_op_init_en(m, j, z, t): + ''' + Calculating 1/k_op in [1/s] + ''' + return m.fitted_transport_coefficient[j]+1/(K_p0*exp(-E_p/(RPV*m.temp[j,z,t]) + E_p/(RPV*T0))) + + # For square problem/optimization problem, parameter, k_oc/p are parameters + if (not m.est_tr) and (not m.k_aug): + m.inv_K_oc = Expression(m.scena, m.zgrid, m.t, rule=inv_k_oc_init_en) + m.inv_K_op = Expression(m.scena, m.zgrid, m.t, rule=inv_k_op_init_en) + + # If not square problem, k_oc/p are defined as parameters variable with temperature, defined in add_model() + + # J/mol/K + def cpg_rule(m,j,i,z,t): + ''' + Give Cpg in [J/mol/K] + ''' + trans_t = m.temp[j,z,t]*0.001 + if i=='N2': + return 29 + 1.85*trans_t - 9.65*trans_t**2 + 16.64*trans_t**3 + 0.000117/trans_t/trans_t + elif i=='CO2': + return 25 + 55.19*trans_t - 33.69*trans_t**2 + 7.95*trans_t**3 -0.1366/trans_t/trans_t + m.cpg = Expression(m.scena, m.COMPS, m.zgrid, m.t, rule=cpg_rule) + + + def h_rule(m,j,i,z,t): + ''' + Calculate the flow heat based on the bed temperature. The reference temperature is 298.15K + h in [J/mol] + ''' + if i=='N2': + return 29*(m.temp[j,z,t] - temp_base) + 1.85E-3/2*(m.temp[j,z,t]**2-temp_base**2) - 9.65E-6/3*(m.temp[j,z,t]**3-temp_base**3) + 16.64E-9/4*(m.temp[j,z,t]**4 - temp_base**4) -117/m.temp[j,z,t] + 117/temp_base + elif i=='CO2': + return 25*(m.temp[j,z,t] - temp_base) + 55.19E-3/2*(m.temp[j,z,t]**2-temp_base**2) - 33.69E-6/3*(m.temp[j,z,t]**3 - temp_base**3) + 7.95E-9/4*(m.temp[j,z,t]**4 - temp_base**4) +136638/m.temp[j,z,t] - 136638/temp_base + + m.h = Expression(m.scena, m.COMPS, m.zgrid, m.t, rule=h_rule) + + # Feed heat at the feed temperature [W/m2/K] + def h_feed_rule(m,i): + ''' + Calculating feed heat based on the inlet temperature. The reference temperature is 298.15K + h in [J/mol] + ''' + if i=='N2': + return 29*(m.temp_orig-temp_base) + 1.85E-3/2*(m.temp_orig**2-temp_base**2) - 9.65E-6/3*(m.temp_orig**3-temp_base**3) + 16.64E-9/4*(m.temp_orig**4-temp_base**4) -117/m.temp_orig + 117/temp_base + elif i=='CO2': + return 25*(m.temp_orig-temp_base) + 55.19E-3/2*(m.temp_orig**2 - temp_base**2) - 33.69E-6/3*(m.temp_orig**3 - temp_base**3) + 7.95E-9/4*(m.temp_orig**4 - temp_base**4) +136638/m.temp_orig - 136638/temp_base + + m.h_feed = Expression(m.COMPS, rule=h_feed_rule) + + # Adsorption heat, -65 kJ/mol + m.H_ads = Param(m.SCOMPS, initialize={'CO2': -65.0}) + + + if m.isotherm: + + # Surface partial pressure, [bar] + m.spp = Var(m.scena, m.SCOMPS, m.zgrid, m.t, initialize=small_initial, bounds=surface_partial_pressure_bounds_pert) + + # Chemical adsorption equilibrium, [mol / kg] + m.nchemstar = Var(m.scena, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=chem_star_bounds_pert) + + # Chemical adsorption equilibrium, modified [mol / kg] + m.nchemstar_mod = Var(m.scena, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=chem_star_bounds_pert) + + # Physical adsorption equilibrium, [mol / kg] + m.nphysstar = Var(m.scena, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=phys_star_bounds_pert) + + # Physical adsorption equilibrium with linear region [mol/kg] + m.nphysstar_mod = Var(m.scena, m.SCOMPS, m.zgrid, m.t, initialize =small_initial, bounds=phys_star_bounds_pert) + + # alpha used to form linearized pressure + if alpha_variable: + m.alpha = Var(m.scena, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=(small_bound,1.0)) + + if m.chemsorb: + + # Chemical adsorption loading, [mol of gas/ kg of sorbent] + m.nchem = Var(m.scena, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=chem_star_bounds_pert) + + # Time derivative, [mol/kg/s] + m.dnchemdt = DerivativeVar(m.nchem, wrt=m.t) + + if m.physsorb: + # Physical adsorption equilibrium loading, [mol of gas/kg of sorbent] + m.nphys = Var(m.scena, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=phys_star_bounds_pert) + + # Time derivative, [mol/kg/s] + m.dnphysdt = DerivativeVar(m.nphys, wrt=m.t) + + + m.dv = Set(initialize=['k', 'ua']) + + if m.energy: + def b_a_en(m,j,z,t): + return b_a0*exp(Q_sta/(RPV*T0)*(T0/m.temp[j,z,t]-1)) + # Eq 14 in Aug. 2018 WVU report + # LHS: [1/bar] + # RHS: [1/bar] * exp( [kJ/mol]/[kJ/mol/K * K] ) = [1/b] * exp( [ dimensionless ] ) + m.b_a = Expression(m.scena, m.zgrid, m.t, rule=b_a_en) + + # Eq 15 in Aug. 2018 WVU report + # LHS: dimensionless + # RHS: dimensionless * exp( [kJ/mol]/[kJ/mol/K * K] ) = [dimensionless] * exp( [ dimensionless ]) + def n_a_en(m,j,z,t): + return n_a1*exp(E_na/(RPV*T0)*(T0/m.temp[j,z,t]-1) + small_bound) + m.n_a = Expression(m.scena, m.zgrid, m.t, rule=n_a_en) + + def inv_n_a_en(m,j,z,t): + return 1/m.n_a[j,z,t] + m.inv_n_a = Expression(m.scena, m.zgrid, m.t, rule=inv_n_a_en) + + # Eq 13 in Aug. 2018 WVU report + # LHS: dimensionless + # RHS: dimensionless + K/K + def k_eq_en(m,j,z,t): + return exp(Ka + Kb/m.temp[j,z,t] + small_bound) + m.K_eq = Expression(m.scena, m.zgrid, m.t, rule=k_eq_en) + + ### Physical adsorption isotherm + # Eq 14 in Aug. 2018 WVU report + # LHS: bar-1 + # RHS: bar-1 * (kJ/mol)/(kJ/mol/K * K) + def b_b_en(m,j,z,t): + return b_b0*exp(Q_stb/(RPV*T0)*(T0/m.temp[j,z,t]-1) + small_bound) + m.b_b = Expression(m.scena, m.zgrid, m.t, rule=b_b_en) + + + # Eq 16 in Aug. 2018 WVU report + # LHS: mol/kg + # RHS: mol/kg * 1 + def nmax_p_en(m,j,z,t): + return nmax_p1*(exp(Kc+Kd/m.temp[j,z,t] + small_bound)/(1+exp(Kc+Kd/m.temp[j,z,t] + small_bound))) + m.nmax_p = Expression(m.scena, m.zgrid, m.t, rule=nmax_p_en) + + # Eq 12 in Aug. 2018 WVU report + # LHS: mol/kg + # RHS: mol/kg * 1 / 1 = mol/kg + def nmax_c_en(m,j,z,t): + return n_max*m.K_eq[j,z,t]/(1+m.K_eq[j,z,t]) + m.nmax_c = Expression(m.scena, m.zgrid, m.t, rule=nmax_c_en) + + # Linear pressure adsorption when P < Plinear + # According to ACM + # LHS: mol/kg + # RHS: mol/kg * ((1/bar * bar )/ (bar^-1 * 10bar)) + def nplin_en(m,j,z,t): + nplin_num = (m.b_a[j,z,t]*plin)**(m.inv_n_a[j,z,t]) + nplin_de = 1+(m.b_a[j,z,t]*plin)**(m.inv_n_a[j,z,t]) + return m.nmax_c[j,z,t]*(nplin_num/nplin_de) + + m.nplin = Expression(m.scena, m.zgrid, m.t, rule=nplin_en) + +### DEFINE EQUATION FUNCTION + +def gas_comp_mb(m, j, i, z, t): + ''' + Calculate bulk gas phase species balances with Eq 1 in Aug. report, (Dowling, 2012) and ACM code. + Used when diffusion is not considered. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: ODE for calculating component species density + ''' + + # Eq 1 in Aug.report + # LHS: mol/m3/s + # RHS: (cm/s * mol/m3 / (100cm/m) - cm/s * mol/m3 / (100cm/m))/m = mol/m3/s + if z == 0: + dvCdz = (m.v[j,z,t]*0.01*m.C[j,i,z,t] - vel_f*0.01*m.totden_f*m.yfeed[i])/dz + else: + dvCdz = (m.v[j,z,t]*0.01*m.C[j,i,z,t] - m.v[j,z-1,t]*0.01*m.C[j,i,z-1,t])/dz + + diff_term = 0 + # LDF from ACM code + if i in m.SCOMPS: + if m.chemsorb: + diff_term += (1-ads_epsb)*(den_s)*m.dnchemdt[j, i, z, t] + + if m.physsorb: + diff_term += (1-ads_epsb)*(den_s)*m.dnphysdt[j, i, z, t] + + disp_term = 0 + if m.dispersion: + # LHS: mol/m3/s + # RHS: m2/s * mol/m3/m2 + # combine the two gas mas balances, so it can be toggled on and off + if z == 0: + disp_term = Dax[i] * (m.C[j,i,z+2,t]-2*m.C[j,i,z+1,t]+m.C[j,i,z,t])/(dz*dz) + elif z == 19: + disp_term = Dax[i] * (m.C[j,i,z,t]-2*m.C[j,i,z-1,t]+m.C[j,i,z-2,t])/(dz*dz) + else: + disp_term = Dax[i] * (m.C[j,i,z+1,t]-2*m.C[j,i,z,t]+m.C[j,i,z-1,t])/(dz*dz) + # LHS: mol/m3/s; # RHS: mol/m3/s - mol/m3/s + return m.dCdt[j,i,z,t] == -dvCdz / (ads_epsb) - diff_term/ (ads_epsb) - disp_term + + +def gas_comp_mb_doe(m, j, i, z, t): + ''' + Calculate bulk gas phase species balances with Eq 1 in Aug. report, (Dowling, 2012) and ACM code. + Used when diffusion is not considered. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: ODE for calculating component species density + ''' + + # Eq 1 in Aug.report + # LHS: mol/m3/s + # RHS: (cm/s * mol/m3 / (100cm/m) - cm/s * mol/m3 / (100cm/m))/m = mol/m3/s + if z == 0: + if i=='CO2': + dvCdz = (m.v[j,z,t]*0.01*m.C[j,i,z,t] - vel_f*0.01*m.totden_f*m.yfeed)/dz + elif i=='N2': + dvCdz = (m.v[j,z,t]*0.01*m.C[j,i,z,t] - vel_f*0.01*m.totden_f*(1-m.yfeed))/dz + + else: + dvCdz = (m.v[j,z,t]*0.01*m.C[j,i,z,t] - m.v[j,z-1,t]*0.01*m.C[j,i,z-1,t])/dz + + diff_term = 0 + # LDF from ACM code + if i in m.SCOMPS: + if m.chemsorb: + diff_term += (1-ads_epsb)*(den_s)*m.dnchemdt[j, i, z, t] + + if m.physsorb: + diff_term += (1-ads_epsb)*(den_s)*m.dnphysdt[j, i, z, t] + + disp_term = 0 + if m.dispersion: + # LHS: mol/m3/s + # RHS: m2/s * mol/m3/m2 + # combine the two gas mas balances, so it can be toggled on and off + if z == 0: + disp_term = Dax[i] * (m.C[j,i,z+2,t]-2*m.C[j,i,z+1,t]+m.C[j,i,z,t])/(dz*dz) + else: + disp_term = Dax[i] * (m.C[j,i,z+1,t]-2*m.C[j,i,z,t]+m.C[j,i,z-1,t])/(dz*dz) + # LHS: mol/m3/s; # RHS: mol/m3/s - mol/m3/s + return m.dCdt[j,i,z,t] == -dvCdz / (ads_epsb) - diff_term/ (ads_epsb) - disp_term + + + +def energy_balance(m, j, z, t): + ''' + Energy balance assuming Tambient = Twall, Tg=Ts + Equation from [Dowling, 2012] + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: ODE for calculating component species density + + ''' + # calculate sum(ci*cpg) + # mol/m3 * J/mol/K = J/m3/K + sum_c = sum(m.C[j,i,z,t]*m.cpg[j,i,z,t] for i in m.COMPS) + + # calculate the coefficient of dT/dt + # J/m3/K + kg/m3 * J/kg/K = J/m3/K + dividant = ads_epsb*sum_c + den_b*cps + + # calculate the sum of Hi*dni/dt + # kJ/mol * mol/kg/s = kJ/kg/s + sum_hdn = sum(-m.H_ads[a]*(m.dnchemdt[j,a,z,t]+m.dnphysdt[j,a,z,t]) for a in m.SCOMPS) + + # sum of heat flow, [J/m3] + # RHS: mol/m3 * J/mol = J/m3 + h_sum = sum(m.C[j,b,z,t]*m.h[j,b,z,t] for b in m.COMPS) + + # heat flow feed, [J/m3] + h_sum_feed = sum(m.den_f[p]*m.h_feed[p] for p in m.COMPS) + + # LHS: W/m3 = J/s/m3 + # RHS: cm/s * 1m/100cm * J/m3 * 1/m = J/s/m3 + if z==0: + duhdz = (m.v[j,z,t]*0.01*h_sum - vel_f*0.01*h_sum_feed)/dz + else: + # heat flow of the previous grid, [J/m3] + h_sum_back = sum(m.C[j,b,z-1,t]*m.h[j,b,z-1,t] for b in m.COMPS) + duhdz = (m.v[j,z,t]*0.01*h_sum - m.v[j,z-1,t]*0.01*h_sum_back)/dz + + # LHS: K/s + # RHS: (kg/m3 * kJ/kg/s * 1000J/1kJ - J/m3/s - J/s/m3/K *K)/ (J/m3/K) = K/s + #if m.temp_option==2: + # return m.dTdt[j,z,t] == (den_bed*sum_hdn*1000 - duhdz - exp(m.ua[j])*(m.temp[j,z,t]-m.temp_bath))/dividant + #elif m.temp_option==1: + if m.est_ua or m.k_aug: + return m.dTdt[j,z,t] == (den_b*sum_hdn*1000 - duhdz - exp(m.ua)*(m.temp[j,z,t]-m.temp_bath))/dividant + else: + return m.dTdt[j,z,t] == (den_b*sum_hdn*1000 - duhdz - exp(m.ua[j])*(m.temp[j,z,t]-m.temp_bath))/dividant + +def dalton(m, j, z, t): + ''' + Calculate total gas density from component gas densities. + No corresponding equation in Aug.report or ACM. + + Arguments: + m: model + j: model.perturb + z: model.zgrid + t: model.t + + Return: Total gas density + ''' + # LHS & RHS: [mol/m3] + return m.total_den[j,z,t] == sum(m.C[j,i,z,t] for i in m.COMPS) + + +def ideal(m,j, z, t): + ''' + Calculate total pressure from ideal gas law. + + Arguments: + m: model + j: model.perturb + z: model.zgrid + t: model.t + + Return: total gas pressure in the bulk phase + ''' + # LHS: mol/m3 * kJ/mol/K * K * 0.01 bar/kPa = kJ/m3 *100 kPa/bar = [bar] + # RHS: [bar] + if m.energy: + return m.total_den[j,z,t]*0.01 * RPV * m.temp[j,z,t] == m.P[j,z,t] + else: + return m.total_den[j,z,t]*0.01 * RPV * m.temp == m.P[j,z,t] + +def ergun(m, j, z, t): + ''' + Calculate velocity with Eq 6 in Aug. report. + Modified according to Ergun equation in (Dowling, 2012). + An assumption was made: velocity is always positive + + Arguments: + m: model + j: model.perturb + z: model.zgrid + t: model.t + + Return: an ODE for velocity + ''' + # LHS: kg/m4 + # RHS: mol/m3*g/mol / m /(1000g/kg) = g/m4 / (1000g/kg) = kg/m4 + + mass_den=sum(m.C[j,i,z,t]*MW[i] for i in m.COMPS) + + aeff = 1.75*mass_den*(1-ads_epsb)/(2*radp*ads_epsb*ads_epsb*ads_epsb)/1000 + + # LHS: kg/m3/s + # RHS: [Pa*s]/[m^2] = [kg/m/s]/[m^2] = kg / m^3 / s + beff = 150*fp_mu*(1-ads_epsb)*(1-ads_epsb)/(4*radp*radp*ads_epsb*ads_epsb*ads_epsb) + + if z == 0: + dPdz = (m.P[j,z,t] - totp_f) / dz + else: + dPdz = (m.P[j,z,t] - m.P[j,z-1,t]) / dz + + # Assumption: velocity is always positive + # LHS: [bar/m] + # RHS: [kg/m^4] * ([cm/s]*0.01m/cm)^2 + [kg / m^3 / s] * [cm/s*0.01m/cm] = [kg / m^2 / s^2] = [Pa/m] / (1E5Pa/bar) + return -dPdz == (aeff*(m.v[j,z,t]*0.01)**2 + beff*m.v[j,z,t]*0.01)/1.0E5 + +''' +def kf_calc(m,j,z,t): + + Calculate the k_f with the dimensionless number equations. + Not used for now. + + # RHS: m*m/s*kg/mol*mol/m3*m*s/kg = 1 + Re = 2*radp*m.v[j,z,t]*0.01*M_co2*m.C[j,'CO2',z,t]/mu_co2 + # RHS: kg/m/s * s/m2 * m3/mol * mol/kg = 1 + Sc = mu_co2/D_m/m.C[j,'CO2',z,t]/M_co2 + return 2*radp*m.kfilm[j,z,t]/D_m == 2+1.1*Re**(0.6)*Sc**(1/3) +''' + +def calc_surface_pressure(m, j, i, z, t): + ''' + Calculate surface partial pressure in solid phase (particle void) according to ACM code. + For now, surface partial pressure is not bulk gas pressure. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: surface partial pressure + ''' + if m.energy: + return m.spp[j,i,z,t] == RPV*m.temp[j,z,t]*0.01*m.C[j,i,z,t] + else: + return m.spp[j,i,z,t] == RPV*m.temp*0.01*m.C[j,i,z,t] + +def chem_isotherm(m, j, i, z, t): + ''' + Calculate chemical equilibrium adsorption with Eq 11, WVU Aug.report. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: chemical equilibrium adsorption + ''' + # Eq.11 in Aug.report + if m.energy: + nchem_num = (m.b_a[j,z,t]*m.spp[j,i,z,t])**(m.inv_n_a[j,z,t]) + nchem_de = 1+(m.b_a[j,z,t]*m.spp[j,i,z,t])**(m.inv_n_a[j,z,t]) + # LHS: unit of m.nchemstar = unit of nmax_c = mmol/g = mol/kg + return m.nchemstar[j,i,z,t]*nchem_de == m.nmax_c[j,z,t]*nchem_num + else: + inv_n_a = 1/m.n_a + nchem_num = (m.b_a*m.spp[j,i,z,t])**(inv_n_a) + nchem_de = 1+(m.b_a*m.spp[j,i,z,t])**(inv_n_a) + # LHS: unit of m.nchemstar = unit of nmax_c = mmol/g = mol/kg + return m.nchemstar[j,i,z,t]*nchem_de == m.nmax_c*nchem_num + +def chem_isotherm_mod(m, j, i, z, t): + ''' + Calculate MODIFIED chemical equilibrium adsorption + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: chemical equilibrium adsorption + ''' + # RHS: [mol/kg] * [bar]/[bar] + [mol/kg] + # LHS: [mol/kg] + if m.energy: + return m.nchemstar_mod[j,i,z,t] == m.alpha[j,i,z,t] * m.nplin[j,z,t] *m.spp[j,i,z,t]/plin + (1-m.alpha[j,i,z,t])*m.nchemstar[j,i,z,t] + else: + return m.nchemstar_mod[j,i,z,t] == m.alpha[j,i,z,t] * m.nplin*m.spp[j,i,z,t]/plin + (1-m.alpha[j,i,z,t])*m.nchemstar[j,i,z,t] + + +def phys_isotherm(m, j, i, z, t): + ''' + Calculate physical equilibrium adsorption with Eq 11, WVU Aug.report. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: physical equilibrium adsorption + ''' + n_b = 1.46 + inv_n_b = 1/n_b + if m.energy: + nphys_num = (m.b_b[j,z,t]*m.spp[j,i,z,t])**(inv_n_b) + nphys_de = 1+(m.b_b[j,z,t]*m.spp[j,i,z,t])**(inv_n_b) + return m.nphysstar[j, i, z, t]*nphys_de == m.nmax_p[j,z,t]*nphys_num + else: + nphys_num = (m.b_b*m.spp[j,i,z,t])**(inv_n_b) + nphys_de = 1+(m.b_b*m.spp[j,i,z,t])**(inv_n_b) + # LHS: unit of m.nchemstar = unit of nmax_c = mmol/g = mol/kg + return m.nphysstar[j, i, z, t]*nphys_de == m.nmax_p*nphys_num + + +def phys_isotherm_mod(m, i, z, t): + ''' + Calculate MODIFIED chemical equilibrium adsorption + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: chemical equilibrium adsorption + ''' + # RHS: [mol/kg] * [bar]/[bar] + [mol/kg] + # LHS: [mol/kg] + if m.energy: + return m.nphysstar_mod[j,i,z,t] == m.alpha[j,i,z,t] * m.nplin[j,z,t]*m.spp[j,i,z,t]/plin + (1-m.alpha[j,i,z,t])*m.nphysstar[j,i,z,t] + else: + return m.nphysstar_mod[j,i,z,t] == m.alpha[j,i,z,t] * m.nplin*m.spp[j,i,z,t]/plin + (1-m.alpha[j,i,z,t])*m.nphysstar[j,i,z,t] + + +def alpha_calc(m, j, i, z, t): + ''' + calculate alpha + ''' + # Pressure difference + + # [??-bar] = alpha_scale [??bar / bar] * ([bar] - [MPa]*10bar/MPa) + + # LHS: [bar] + # RHS: [bar - bar] + pres_dif = alpha_scale*(m.spp[j, i, z, t] - plin) + + # alpha is a variable and will be calculated with a constraint + if alpha_variable: + + if alpha_option == 1: + return (2*m.alpha[j,i,z,t] - 1)*sqrt(eps_alpha + pres_dif*pres_dif) == -pres_dif + elif alpha_option == 2: + return (1 - m.alpha[j,i,z,t])*(1 + exp(-pres_dif + small_bound)) == 1 + elif alpha_option == 3: + return m.alpha[j,i,z,t] == 0.0 + elif alpha_option == 4: + return m.alpha[j,i,z,t] == 1.0 + else: + return Constraint.Skip + + # alpha is an expression + else: + if alpha_option == 1: + return 0.5*(1-pres_dif/sqrt(eps_alpha+pres_dif*pres_dif)) + elif alpha_option == 2: + return 1 - 1 /(1 + exp(-pres_dif + small_bound)) + elif alpha_option == 3: + return 0.0 + elif alpha_option == 4: + return 1.0 + else: + return Constraint.Skip + + +def chem_adsorb(m, j, i, z, t): + ''' + Calculate chemical adsorption kinetics according to ACM code. + Include a linear pressure part when P<0.3bar. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: an ODE for chemical adsorption amount [kmol/kg sorbent] + ''' + # For parameter estimation, no perturbation index for inv_K_oc + if m.est_tr or m.k_aug: + if m.energy: + return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j,z,t])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) + else: + return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j,z,t])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) + # For DoE, inv_K_oc is indexed with perturbation + else: + if m.energy: + return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j,z,t])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) + else: + return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) + +def phys_adsorb_nonlinear(m, j, i, z, t): + ''' + Calculate chemical adsorption kinetics without linear pressure part + ''' + if m.est_tr or m.k_aug: + #if m.energy: + # return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j,z,t])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) + #else: + return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j,z,t])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) + else: + if m.energy: + return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j,z,t])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) + else: + return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) + +def kinetics_para_express(m,j,z,t): + ''' + Calculate inv_K_oc with Eq 8, WVU Aug.report. + Used when transport_coefficient is estimated + + Arguments: + m: model + i: model.SCOMPS + + Return: expression for inv_K_oc[i] + ''' + # LHS: s; # RHS: (m*m/(1*m*m/s)) + 1/(1/s * 1) + if m.energy: + return m.fitted_transport_coefficient + 1/(K_c0*exp(-E_c/(RPV*m.temp[j,z,t]) + E_c/(RPV*T0) + small_bound)) + else: + return m.fitted_transport_coefficient + 1/(K_c0*exp(-E_c/(RPV*m.temp) + E_c/(RPV*T0) + small_bound)) + + +def kinetics_para2_express(m,j,z,t): + ''' + Calculate inv_K_op with Eq 8, WVU Aug.report. + Used when estimating transport coefficient + + Arguments: + m: model + i: model.SCOMPS + + Return: expression for inv_K_op[i] + ''' + # LHS: s; # RHS: (m*m/(1*m*m/s)) + 1/(1/s * 1) + if m.energy: + return m.fitted_transport_coefficient + 1/(K_p0*exp(-E_p/(RPV*m.temp[j,z,t]) + E_p/(RPV*T0)+ small_bound)) + else: + return m.fitted_transport_coefficient + 1/(K_p0*exp(-E_p/(RPV*m.temp) + E_p/(RPV*T0)+ small_bound)) + +# add an expression to calculate the Jacobian elements +def FCO2_calc(m,j,z,t): + '''Calculate FCO2 in mmol/min + ''' + return m.C[j,'CO2',z,t]*m.v[j,z,t]*3.1415926*rbed*rbed*600 + +def jac_ele_exp(m,t): + '''[Out-of-dated]Calculate the Jacobian elements when only one parameter of k + ''' + p = [] + for posi in m.zgrid: + p.append(posi) + + if m.diff ==1: + return (m.FCO2['forward_k',p[-1],t] - m.FCO2['base',p[-1],t])/m.eps/m.para + elif m.diff == -1: + return (m.FCO2['base',p[-1],t] - m.FCO2['backward_k',p[-1],t])/m.eps/m.para + elif m.diff == 2: + return (m.FCO2['forward_k',p[-1],t] - m.FCO2['backward_k',p[-1], t])/2/m.eps/m.para + +def jac_ele(m,dv,t): + ''' + Calculate the Jacobian elements + Arguments: + dv: the design variables, k for k_trans, ua for UA + t: timepoints + Return: + jac['k',t] is the Jacobian of k_trans, jac['ua', t] is the Jacobian of UA + ''' + p = [] + for posi in m.zgrid: + p.append(posi) + + if m.diff ==1: + if dv=='k': + return (m.FCO2['forward_k', p[-1], t] - m.FCO2['base',p[-1],t])/m.eps/m.para + elif dv=='ua': + return (m.FCO2['forward_ua',p[-1],t] - m.FCO2['base',p[-1],t])/m.eps/m.ua_init + elif m.diff==-1: + if dv=='k': + return (m.FCO2['base',p[-1], t] - m.FCO2['backward_k',p[-1],t])/m.eps/m.para + elif dv=='ua': + return (m.FCO2['base',p[-1],t] - m.FCO2['backward_ua',p[-1],t])/m.eps/m.ua_init + elif m.diff==2: + if dv=='k': + return (m.FCO2['forward_k', p[-1],t] - m.FCO2['backward_k',p[-1],t])/m.eps/m.para/2 + elif dv=='ua': + return (m.FCO2['forward_ua',p[-1],t] - m.FCO2['backward_ua',p[-1],t])/m.eps/m.ua_init/2 + +def jac_Tend_ele(m,dv,t): + ''' + Calculate the Jacobian elements + Arguments: + dv: the design variables, k for k_trans, ua for UA + t: timepoints + Return: + jac['k',t] is the Jacobian of k_trans, jac['ua', t] is the Jacobian of UA + ''' + p = [] + for posi in m.zgrid: + p.append(posi) + + if m.diff ==1: + if dv=='k': + return (m.temp['forward_k', p[-1], t] - m.temp['base',p[-1],t])/m.eps/m.para + elif dv=='ua': + return (m.temp['forward_ua',p[-1],t] - m.temp['base',p[-1],t])/m.eps/m.ua_init + elif m.diff==-1: + if dv=='k': + return (m.temp['base',p[-1], t] - m.temp['backward_k',p[-1],t])/m.eps/m.para + elif dv=='ua': + return (m.temp['base',p[-1],t] - m.temp['backward_ua',p[-1],t])/m.eps/m.ua_init + elif m.diff==2: + if dv=='k': + return (m.temp['forward_k', p[-1],t] - m.temp['backward_k',p[-1],t])/m.eps/m.para/2 + elif dv=='ua': + return (m.temp['forward_ua',p[-1],t] - m.temp['backward_ua',p[-1],t])/m.eps/m.ua_init/2 + + +def feed_rule(m): + '''The inlet mole fraction should add up to 1. Applied for continuous optimization problem + ''' + return sum(m.yfeed[i] for i in m.COMPS) == 1 + + +def ObjRule_opt_k(m): + '''objective function for the continuous DoE problem + ''' + objfunc = -sum(m.jac['k', t]**2 for t in m.t) + return objfunc + +def ObjRule_A(m): + + fim00 = sum(m.jac['k',t]**2 for t in m.t) + sum(m.jac_tend['k',t]**2 for t in m.t) + #fim01 = sum(m.jac['k',p[-1],t]*m.jac['ua',t] for t in m.t) + fim11 = sum(m.jac['ua',t]**2 for t in m.t) +sum(m.jac_tend['ua',t]**2 for t in m.t) + # use -trace for minimize, to maximize trace + trace = -fim00 - fim11 + return trace + +def ObjRule_D(m): + fim00 = sum(m.jac['k',t]**2 for t in m.t)+ sum(m.jac_tend['k',t]**2 for t in m.t) + fim01 = sum(m.jac['k',t]*m.jac['ua',t] for t in m.t) + sum(m.jac_tend['k',t]*m.jac_tend['ua',t] for t in m.t) + fim11 = sum(m.jac['ua',t]**2 for t in m.t)+sum(m.jac_tend['ua',t]**2 for t in m.t) + # use -det for minimize, to maximize det + det = fim01**2 - fim00*fim11 + return det + +def ObjRule_con(m): + '''objective function for the brute force DoE problem/square problem + ''' + return 0 + +''' +Adsorption isotherm calculation +Note: With constant temperature, many of the isotherm intermediates are CONSTANT +''' + +def add_equations(mod): + ''' + Adds equations to the Pyomo model using the already specified toggles. + + Arguments: + mod: the model defined + + Return: the model with equations added + + ''' + + + # If not, the objective function will be added in the notebook + + mod.dalton_law = Constraint(mod.scena, mod.zgrid, mod.t, rule=dalton) + + mod.ideal_gas_law = Constraint(mod.scena, mod.zgrid, mod.t, rule=ideal) + + # measurements + if not mod.k_aug: + mod.FCO2 = Expression(mod.scena, mod.zgrid, mod.t, rule=FCO2_calc) + + + if mod.opt and mod.conti: + + mod.jac = Expression(mod.dv, mod.t, rule=jac_ele) + + + # add an expression to calculate the Jacobian elements + if mod.energy: + mod.jac_tend = Expression(mod.dv, mod.t, rule=jac_Tend_ele) + if mod.optimize_trace: + mod.obj = Objective(rule=ObjRule_A, sense=minimize) + else: + mod.obj = Objective(rule=ObjRule_D, sense=minimize) + else: + mod.obj = Objective(rule=ObjRule_opt_k, sense=minimize) + + + mod.feed_law = Constraint(rule=feed_rule) + + + if not mod.fix_pres: + if not mod.v_fix: + mod.ergun_equation = Constraint(mod.perturb, mod.zgrid, mod.t, rule=ergun) + + if mod.doe_model: + mod.gas_mass_balance = Constraint(mod.perturb, mod.COMPS, mod.zgrid, mod.t, rule = gas_comp_mb_doe) + else: + mod.gas_mass_balance = Constraint(mod.perturb, mod.COMPS, mod.zgrid, mod.t, rule = gas_comp_mb) + + if mod.energy: + mod.energy_balance_law = Constraint(mod.perturb, mod.zgrid, mod.t, rule = energy_balance) + + mod.partial_pressure = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=calc_surface_pressure) + mod.chemical_isotherm = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_isotherm) + mod.physical_isotherm = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=phys_isotherm) + + if alpha_variable: + mod.alpha_constraint = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=alpha_calc) + else: + mod.alpha = Expression(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=alpha_calc) + + if mod.est_tr or mod.k_aug: + mod.inv_K_oc = Expression(mod.perturb, mod.zgrid, mod.t, rule=kinetics_para_express) + mod.inv_K_op = Expression(mod.perturb, mod.zgrid, mod.t, rule=kinetics_para2_express) + + mod.physical_adsorption = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=phys_adsorb_nonlinear) + + mod.chemical_isotherm_mod = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_isotherm_mod) + mod.chemical_adsorption = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_adsorb) + + + +def extract_fixed(m, measure_temp=False): + measurement=[] + for t in m.t: + measurement.append(value(m.FCO2['base', 19,t])) + if measure_temp: + for t in m.t: + measurement.append(value(m.temp['base', 10, t])) + for t in m.t: + measurement.append(value(m.temp['base', 19, t])) + return measurement + +def fix_initial_bed(m, v_init=2.0): + ''' + Initialize the bed. + Make component density and phys/chem adsorption all over the bed at time0 to be 0.0. + ''' + for j in m.perturb: + for z in m.zgrid: + m.C[j,'CO2',z, m.t0].fix(small_initial) + m.v[j,z,m.t0].fix(v_init) + + if m.energy: + m.temp[j,z,m.t0].fix(value(m.temp_bath)) + + if m.chemsorb: + m.nchem[j,'CO2',z,m.t0].fix(small_initial) + + if m.physsorb: + m.nphys[j,'CO2',z,m.t0].fix(small_initial) + + +def extract2d(m, var): + ''' + Extract values for 2D variable + + Args: + m - Pyomo model + var - Pyomo Variable + + Returns: + D - 2D numpy array with values + + Assumptions: + * First variable index is grid position + * Second variable index is time position + ''' + # Extract length of two dimensions + Ngrid = len(m.zgrid) + NFEt = len(m.t) - 1 + + # Create numpy array of zeros + D1 = np.zeros((Ngrid,NFEt+1)) + D2 = np.zeros((Ngrid,NFEt+1)) + D3 = np.zeros((Ngrid,NFEt+1)) + D4 = np.zeros((Ngrid,NFEt+1)) + + # Loop over time and space, extract values from Pyomo variable + for i,t in enumerate(m.t): + for j,z in enumerate(m.zgrid): + if m.diff == 0: + D1[j,i] = value(var['base',z,t]) + elif m.diff == 1: + D1[j,i] = value(var['base',z,t]) + D2[j,i] = value(var['forward_k',z,t]) + D3[j,i] = value(var['forward_ua',z,t]) + elif m.diff == -1: + D1[j,i] = value(var['base',z,t]) + D2[j,i] = value(var['backward_k',z,t]) + D3[j,i] = value(var['backward_ua',z,t]) + elif m.diff == 2: + D1[j,i] = value(var['forward_k',z,t]) + D2[j,i] = value(var['forward_ua',z,t]) + D3[j,i] = value(var['backward_k',z,t]) + D4[j,i] = value(var['backward_ua',z,t]) + + return D1,D2,D3,D4 + +def extract3d(m, var, ind): + ''' + Extract values for 3D variable + + Args: + m - Pyomo model + var - Pyomo Variable + ind - Index for first dimension + + Returns: + D - 2D numpy array with values + + Assumptions: + * First variable index is grid position + * Second variable index is time position + ''' + # Extract length of two dimensions + Ngrid = len(m.zgrid) + NFEt = len(m.t) - 1 + + # Create numpy array of zeros + D1 = np.zeros((Ngrid,NFEt+1)) + D2 = np.zeros((Ngrid,NFEt+1)) + D3 = np.zeros((Ngrid,NFEt+1)) + D4 = np.zeros((Ngrid,NFEt+1)) + + # Loop over time and space, extract values from Pyomo variable + for i,t in enumerate(m.t): + for j,z in enumerate(m.zgrid): + if m.diff ==0: + D1[j,i] = value(var['base',ind,z,t]) + elif m.diff ==1: + D1[j,i] = value(var['base',ind,z,t]) + D2[j,i] = value(var['forward_k',ind,z,t]) + D3[j,i] = value(var['forward_ua',ind,z,t]) + elif m.diff ==-1: + D1[j,i] = value(var['base',ind,z,t]) + D2[j,i] = value(var['backward_k',ind,z,t]) + D3[j,i] = value(var['backward_ua',ind,z,t]) + elif m.diff ==2: + D1[j,i] = value(var['forward_k',ind,z,t]) + D2[j,i] = value(var['forward_ua',ind,z,t]) + D3[j,i] = value(var['backward_k',ind,z,t]) + D4[j,i] = value(var['backward_ua',ind,z,t]) + return D1,D2, D3, D4 + +def make_plots(m): + ''' + Make plots. + + Arguments: + m: the model + + return: None + + other: plots + ''' + + # Extract grid position values + Z = [] + for j in m.zgrid: + Z.append(value(j)) + + # Extract time values + T = [] + for j in m.t: + T.append(value(j)) + + # Visualize pressure + P1, P2 = extract2d(m, m.P) + if(len(T) > 1): + h = plt.contourf(T,Z,P1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Pressure [bar]') + else: + plt.plot(Z,P1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Pressure [bar]') + plt.show() + + if m.energy: + temp1, temp2 = extract2d(m,m.temp) + if(len(T) > 1): + h = plt.contourf(T,Z,temp1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Temperature [K]') + else: + plt.plot(Z,temp1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Temperature [K]') + plt.show() + + if m.isotherm: + SPP1, SPP2 = extract3d(m, m.spp, 'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,SPP1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Surface pressure [bar]') + else: + plt.plot(Z,SPP1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Surface pressure [bar]') + plt.show() + + # Visualize velocity + V1, V2 = extract2d(m, m.v) + if(len(T) > 1): + h = plt.contourf(T,Z,V1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Velocity [cm/s]') + else: + plt.plot(Z,V1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Velocity [cm/s]') + + plt.show() + + + # Visualize density + # for c in ['N2','CO2','He']: + for c in ['N2','CO2']: + den1, den2 = extract3d(m, m.C, c) + if(len(T) > 1): + h = plt.contourf(T,Z,den1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title(c +' Density [mol/m$^3$]') + else: + plt.plot(Z,den1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel(c +' Density [mol/m$^3$]') + plt.show() + + if m.chemsorb: + + # Visualize isotherm + nchemstar1, nchemstar2 = extract3d(m, m.nchemstar,'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,nchemstar1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Isotherm [mol/kg]') + else: + plt.plot(Z,nchemstar1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Chemical Isotherm [mol/kg]') + plt.show() + + # Visualize loading + nchem1, nchem2 = extract3d(m, m.nchem,'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,nchem1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Loading [mol/kg]') + else: + plt.plot(Z,nchem2) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Chemical Loading [mol/kg]') + plt.show() + + if m.physsorb: + nphysstar1, nphysstar2 = extract3d(m, m.nphysstar,'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,nphysstar1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Isotherm [mol/kg]') + else: + plt.plot(Z,nphysstar1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Physical Isotherm [mol/kg]') + plt.show() + + nphys1, nphys2 = extract3d(m, m.nphys,'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,nphys1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Loading [mol/kg]') + else: + plt.plot(Z,nphys1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Physical Loading [mol/kg]') + plt.show() + + alpha1, alpha2 = extract3d(m, m.alpha,'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,alpha1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('alpha is modified isotherm [dimensionless]') + else: + plt.plot(Z,alpha1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('alpha is modified isotherm [dimensionless]') + plt.show() + + +### Functions that are no longer used +def init1D(dyn_var, t0_var,set1,T): + ''' + Initialize dynamic Pyomo model with steady-state solution + + Args: + dyn_var: variable in dynamic model + t0_var: variable in single timestep model (often initial condition) + set1: set to enumerate over + T: time set for dyn_var + + Returns: + Nothing + + Assumptions: + dyn_var and t0_var have the same indicies + time is the last index + + ''' + + for i in set1: + for t in T: + dyn_var[i,t] = value(t0_var[i,0]) + + +def custom_ipopt(): + ''' Return compiled version of Ipopt + + Arguments: + None + + Returns: + solver + + ''' + + import socket + name = socket.gethostname() + print(name) + + if name == "dowling.comsel.nd.edu": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/Users/adowling/src/CoinIpopt/build/bin/ipopt") + solver.options['linear_solver'] = "ma57" + elif name[0:7] == "Laptop5" or name[0:7] == "laptop5": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/Users/adowling/src/CoinIpopt/bin/ipopt") + solver.options['linear_solver'] = "ma57" + elif name == "luuyoyodeMacBook-Pro.local": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/usr/local/bin/ipopt") + solver.options['linear_solver'] = "ma57" + elif name == "luuyoyodembp.dhcp.nd.edu": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/usr/local/bin/ipopt") + solver.options['linear_solver'] = "ma57" + elif name== "wangjialudembp.dhcp.nd.edu": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/usr/local/bin/ipopt") + solver.options['linear_solver'] = "ma57" + elif name== "wangjialudeMacBook-Pro.local": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/usr/local/bin/ipopt") + solver.options['linear_solver'] = "ma57" + else: + print("Loading default Ipopt.") + solver = SolverFactory('ipopt') + + return solver + +from pyomo.core.kernel.component_set import ComponentSet + +def large_residuals_set(block, tol=1e-5, LOUD=True): + """ + Method to return a ComponentSet of all Constraint components with a + residual greater than a given threshold which appear in a model. + Args: + block : model to be studied + tol : residual threshold for inclusion in ComponentSet + Returns: + A ComponentSet including all Constraint components with a residual + greater than tol which appear in block + """ + large_residuals_set = ComponentSet() + for c in block.component_data_objects( + ctype=Constraint, active=True, descend_into=True): + if c.active and value(c.lower - c.body()) > tol: + large_residuals_set.add(c) + elif c.active and value(c.body() - c.upper) > tol: + large_residuals_set.add(c) + + if LOUD: + print("All equality constraints with residuals larger than",tol) + for c in large_residuals_set: + print(c) + + return large_residuals_set + +def get_size_csv(store_): + ''' + Get size + ''' + + Z = np.unique(np.asarray(store_['position'])) + T = np.unique(np.asarray(store_['time'])) + + Ngrid = len(Z) + NFEt = len(T) - 1 + return Ngrid, NFEt + + + +def makeplot_csv(store_): + ''' + Make plot from results stored before + To make plots from .csv file in fixed_bed_init.ipynb: first run code before solver, then run this function + + Arguments: + store_: a single pandas dataframe + + Return: None + + Other: plots + ''' + # Extract variable values from dataframe + den_N2 = np.asarray(store_['den_N2']) + den_CO2 = np.asarray(store_['den_CO2']) + den_He = np.asarray(store_['den_He']) + vel_ = np.asarray(store_['vel']) + nchem_eq = np.asarray(store_['nchem_eq']) + nphys_eq = np.asarray(store_['nphys_eq']) + nchem = np.asarray(store_['nchem']) + nphys = np.asarray(store_['nphys']) + + Z = np.unique(np.asarray(store_['position'])) + T = np.unique(np.asarray(store_['time'])) + + Ngrid, NFEt = get_size_csv(store_) + + # Reshape the array into [# of grids, # of time nodes] + c_N2 = np.reshape(den_N2,(Ngrid,NFEt+1)) + c_CO2 = np.reshape(den_CO2,(Ngrid,NFEt+1)) + c_He = np.reshape(den_He,(Ngrid,NFEt+1)) + V = np.reshape(vel_,(Ngrid,NFEt+1)) + Nchem_e = np.reshape(nchem_eq,(Ngrid,NFEt+1)) + Nphys_e = np.reshape(nphys_eq,(Ngrid,NFEt+1)) + Nchem = np.reshape(nchem,(Ngrid,NFEt+1)) + Nphys = np.reshape(nphys,(Ngrid,NFEt+1)) + + # Meshgrid + x = np.array(range(NFEt+1)) + y = np.array(range(Ngrid)) + [X,Y] = np.meshgrid(x,y) + + z_N2 = c_N2 + z_CO2 = c_CO2 + z_He = c_He + z_vel = V + z_nce = Nchem_e + z_npe = Nphys_e + z_nc = Nchem + z_nph = Nphys + + # Visualize pressure + P = np.ones((NFEt,Ngrid)) + P = (z_N2 + z_CO2 + z_He) * RPV * temp + h = plt.contourf(X,Y,P) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Pressure [MPa]') + plt.show() + + + # Visualize velocity + h = plt.contourf(X,Y,z_vel) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Velocity [m/s]') + plt.show() + + # Visualize N2 density + h = plt.contourf(X,Y,z_N2) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('N2 Density [kmol/m$^3$]') + plt.show() + + # Visualize CO2 density + h = plt.contourf(X,Y,z_CO2) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('CO2 Density [kmol/m$^3$]') + plt.show() + + # Visualize He density + h = plt.contourf(X,Y,z_He) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('He Density [kmol/m$^3$]') + plt.show() + + # Visualize Chemical isotherm + h = plt.contourf(X,Y,z_nce) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Isotherm [mmol/g]') + plt.show() + + # Visualize physical isotherm + h = plt.contourf(X,Y,z_npe) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Isotherm [mmol/g]') + plt.show() + + # Visualize chemical loading + h = plt.contourf(X,Y,z_nc) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Loading [kmol/kg]') + plt.show() + + # Visualize physical loading + h = plt.contourf(X,Y,z_nph) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Loading [kmol/kg]') + plt.show() + + +def extract2(m): + ''' + Extract results from Pyomo model + + Arguments: + m: the model + + Return: a single pandas dataframe storing all results + ''' + nTime = len(m.t) + nGrid = len(m.zgrid) + n = nTime*nGrid + print (nTime) + print (n) + + ### Variables to be extracted + + # Two 3D variables, for COMPS(N2, CO2, He) + + C_N2_1, C_N2_2 = extract3d(m,m.C,'N2') + C_CO2_1, C_CO2_2 = extract3d(m,m.C,'CO2') + + C_N21 = np.reshape(C_N2_1, n) + C_CO21 = np.reshape(C_CO2_1, n) + + C_N22 = np.reshape(C_N2_2, n) + C_CO22 = np.reshape(C_CO2_2, n) + + dcdt_N2_1, dcdt_N2_2 = extract3d(m,m.dCdt,'N2') + dcdt_CO2_1, dcdt_CO2_2 = extract3d(m,m.dCdt,'CO2') + + dcdt_N21 = np.reshape(dcdt_N2_1,n) + dcdt_CO21 = np.reshape(dcdt_CO2_1,n) + + dcdt_N22 = np.reshape(dcdt_N2_2,n) + dcdt_CO22 = np.reshape(dcdt_CO2_2,n) + + # Three 2D variables + vel_1, vel_2 = extract2d(m, m.v) + + vel1 = np.reshape(vel_1, n) + vel2 = np.reshape(vel_2,n) + + P_1, P_2 = extract2d(m,m.P) + P1 = np.reshape(P_1,n) + P2 = np.reshape(P_2, n) + + total_den_1, total_den_2 = extract2d(m,m.total_den) + total_den1 = np.reshape(total_den_1, n) + total_den2 = np.reshape(total_den_2, n) + + if m.energy: + T_1, T_2 = extract2d(m,m.temp) + T1 = np.reshape(T_1, n) + T2 = np.reshape(T_2, n) + + dTdt_1, dTdt_2 = extract2d(m,m.dTdt) + dTdt1 = np.reshape(dTdt_1,n) + dTdt2 = np.reshape(dTdt_2,n) + + nplin_1, nplin_2 = extract2d(m, m.nplin) + nplin1 = np.reshape(nplin_1, n) + nplin2 = np.reshape(nplin_2, n) + + # Seven 3D variables, for SCOMPS(CO2) + if m.isotherm: + # Seven 3D variables, for SCOMPS(CO2) + spp_1, spp_2 = extract3d(m, m.spp, 'CO2') + + spp1 = np.reshape(spp_1,n) + spp2 = np.reshape(spp_2,n) + if m.chemsorb: + nchemstar_1, nchemstar_2 = extract3d(m, m.nchemstar,'CO2') + + nchemstar1 = np.reshape(nchemstar_1, n) + nchemstar2 = np.reshape(nchemstar_2, n) + + dnchemdt_1, dnchemdt_2 = extract3d(m, m.dnchemdt,'CO2') + dnchemdt1 = np.reshape(dnchemdt_1, n) + dnchemdt2 = np.reshape(dnchemdt_2, n) + + nchem_1, nchem_2 = extract3d(m, m.nchem,'CO2') + nchem1 = np.reshape(nchem_1, n) + nchem2 = np.reshape(nchem_2, n) + + if m.physsorb: + nphysstar_1, nphysstar_2 = extract3d(m, m.nphysstar,'CO2') + nphysstar1 = np.reshape(nphysstar_1, n) + nphysstar2 = np.reshape(nphysstar_2, n) + + dnphysdt_1, dnphysdt_2 = extract3d(m, m.dnphysdt,'CO2') + dnphysdt1 = np.reshape(dnphysdt_1, n) + dnphysdt2 = np.reshape(dnphysdt_2, n) + + nphys_1, nphys_2 = extract3d(m, m.nphys,'CO2') + nphys1 = np.reshape(nphys_1, n) + nphys2 = np.reshape(nphys_2, n) + + print(np.shape(nphys1)) + print(np.shape(nphys2)) + + + # Meshgrid + x = [] + for t in m.t: + x.append(value(t)) + + y = [] + for z in m.zgrid: + y.append(value(z)) + + + [X,Y] = np.meshgrid(x,y) + time = np.reshape(X,n) + space = np.reshape(Y,n) + + if m.chemsorb and m.physsorb: + if m.energy: + store = pd.DataFrame({'time': time, + 'position':space, + 'den_N2': C_N21, + 'den_CO2': C_CO21, + 'dcdt_N2':dcdt_N21, + 'dcdt_CO2':dcdt_CO21, + 'vel': vel1, + 'pressure':P1, + 'temp': T1, + 'dTdt': dTdt1, + 'nplin': nplin1, + 'total_den':total_den1, + 'solid_pres':spp1, + 'nchem_eq': nchemstar1, + 'nphys_eq': nphysstar1, + 'dndt_chem': dnchemdt1, + 'dndt_phys': dnphysdt1, + 'nchem': nchem1, + 'nphys':nphys1, + 'den_N2_u': C_N22, + 'den_CO2_u': C_CO22, + 'dcdt_N2_u':dcdt_N22, + 'dcdt_CO2_u':dcdt_CO22, + 'vel_u': vel2, + 'pressure_u':P2, + 'temp_u': T2, + 'total_den_u':total_den2, + 'solid_pres_u':spp2, + 'nchem_eq_u': nchemstar2, + 'nphys_eq_u': nphysstar2, + 'dndt_chem_u': dnchemdt2, + 'dndt_phys_u': dnphysdt2, + 'nchem_u': nchem2, + 'nphys_u': nphys2 + }) + + else: + # save the arrays into the data frame + store = pd.DataFrame({'time': time, + 'position':space, + 'den_N2': C_N21, + 'den_CO2': C_CO21, + 'dcdt_N2':dcdt_N21, + 'dcdt_CO2':dcdt_CO21, + 'vel': vel1, + 'pressure':P1, + 'total_den':total_den1, + 'solid_pres':spp1, + 'nchem_eq': nchemstar1, + 'nphys_eq': nphysstar1, + 'dndt_chem': dnchemdt1, + 'dndt_phys': dnphysdt1, + 'nchem': nchem1, + 'nphys':nphys1, + 'den_N2_u': C_N22, + 'den_CO2_u': C_CO22, + 'dcdt_N2_u':dcdt_N22, + 'dcdt_CO2_u':dcdt_CO22, + 'vel_u': vel2, + 'pressure_u':P2, + 'total_den_u':total_den2, + 'solid_pres_u':spp2, + 'nchem_eq_u': nchemstar2, + 'nphys_eq_u': nphysstar2, + 'dndt_chem_u': dnchemdt2, + 'dndt_phys_u': dnphysdt2, + 'nchem_u': nchem2, + 'nphys_u': nphys2 + }) + + elif m.chemsorb: + store = pd.DataFrame({'time': time, + 'position':space, + 'den_N2': C_N2, + 'den_CO2': C_CO2, + 'dcdt_N2':dcdt_N2, + 'dcdt_CO2':dcdt_CO2, + 'vel': vel_, + 'pressure':P, + 'total_den':total_den, + 'solid_pres':spp, + 'nchem_eq': nchemstar, + 'dndt_chem': dnchemdt, + 'nchem': nchem}) + + elif m.physsorb: + store = pd.DataFrame({'time': time, + 'position':space, + 'den_N2': C_N2, + 'den_CO2': C_CO2, + 'dcdt_N2':dcdt_N2, + 'dcdt_CO2':dcdt_CO2, + 'vel': vel_, + 'pressure':P, + 'total_den':total_den, + 'solid_pres':spp, + 'nphys_eq': nphysstar, + 'dndt_phys': dnphysdt, + 'nphys':nphys}) + + else: + store = pd.DataFrame({'time': time, + 'position':space, + 'den_N2': C_N2, + 'den_CO2': C_CO2, + 'dcdt_N2':dcdt_N2, + 'dcdt_CO2':dcdt_CO2, + 'vel': vel_, + 'pressure':P, + 'total_den':total_den}) + + return store + +def extract3(m,result): + ''' + Extract results from Pyomo model for brute force DoE problem. + Compared to extract2: less options kept, add the design variable values + + Arguments: + m: the model + + Return: a single pandas dataframe storing all results + ''' + nTime = len(m.t) + nGrid = len(m.zgrid) + n = nTime*nGrid + + ### Variables to be extracted + + # Two 3D variables, for COMPS(N2, CO2, He) + + FCO2_1, FCO2_2, FCO2_3, FCO2_4 = extract2d(m, m.FCO2) + + FCO21 = np.reshape(FCO2_1, n) + FCO22 = np.reshape(FCO2_2, n) + FCO23 = np.reshape(FCO2_3, n) + FCO24 = np.reshape(FCO2_4, n) + + C_N2_1, C_N2_2, C_N2_3, C_N2_4 = extract3d(m,m.C,'N2') + C_CO2_1, C_CO2_2, C_CO2_3, C_CO2_4 = extract3d(m,m.C,'CO2') + + C_N21 = np.reshape(C_N2_1, n) + C_CO21 = np.reshape(C_CO2_1, n) + + C_N22 = np.reshape(C_N2_2, n) + C_CO22 = np.reshape(C_CO2_2, n) + + C_N23 = np.reshape(C_N2_3, n) + C_CO23 = np.reshape(C_CO2_3, n) + + C_N24 = np.reshape(C_N2_4, n) + C_CO24 = np.reshape(C_CO2_4, n) + + + dcdt_N2_1, dcdt_N2_2, dcdt_N2_3, dcdt_N2_4 = extract3d(m,m.dCdt,'N2') + dcdt_CO2_1, dcdt_CO2_2, dcdt_CO2_3, dcdt_CO2_4 = extract3d(m,m.dCdt,'CO2') + + dcdt_N21 = np.reshape(dcdt_N2_1,n) + dcdt_CO21 = np.reshape(dcdt_CO2_1,n) + + dcdt_N22 = np.reshape(dcdt_N2_2,n) + dcdt_CO22 = np.reshape(dcdt_CO2_2,n) + + dcdt_N23 = np.reshape(dcdt_N2_3,n) + dcdt_CO23 = np.reshape(dcdt_CO2_3,n) + + dcdt_N24 = np.reshape(dcdt_N2_4,n) + dcdt_CO24 = np.reshape(dcdt_CO2_4,n) + + # Three 2D variables + vel_1, vel_2, vel_3, vel_4 = extract2d(m, m.v) + + vel1 = np.reshape(vel_1, n) + vel2 = np.reshape(vel_2,n) + vel3 = np.reshape(vel_3,n) + vel4 = np.reshape(vel_4,n) + + P_1, P_2, P_3, P_4 = extract2d(m,m.P) + P1 = np.reshape(P_1,n) + P2 = np.reshape(P_2, n) + P3 = np.reshape(P_3, n) + P4 = np.reshape(P_4, n) + + total_den_1, total_den_2, total_den_3, total_den_4 = extract2d(m,m.total_den) + total_den1 = np.reshape(total_den_1, n) + total_den2 = np.reshape(total_den_2, n) + total_den3 = np.reshape(total_den_3, n) + total_den4 = np.reshape(total_den_4, n) + + if m.energy: + T_1, T_2, T_3, T_4 = extract2d(m,m.temp) + T1 = np.reshape(T_1, n) + T2 = np.reshape(T_2, n) + T3 = np.reshape(T_3, n) + T4 = np.reshape(T_4, n) + + dTdt_1, dTdt_2, dTdt_3, dTdt_4 = extract2d(m,m.dTdt) + dTdt1 = np.reshape(dTdt_1,n) + dTdt2 = np.reshape(dTdt_2,n) + dTdt3 = np.reshape(dTdt_3,n) + dTdt4 = np.reshape(dTdt_4,n) + + nplin_1, nplin_2, nplin_3, nplin_4 = extract2d(m, m.nplin) + nplin1 = np.reshape(nplin_1, n) + nplin2 = np.reshape(nplin_2, n) + nplin3 = np.reshape(nplin_3, n) + nplin4 = np.reshape(nplin_4, n) + + + # Seven 3D variables, for SCOMPS(CO2) + spp_1, spp_2, spp_3, spp_4 = extract3d(m, m.spp, 'CO2') + + spp1 = np.reshape(spp_1,n) + spp2 = np.reshape(spp_2,n) + spp3 = np.reshape(spp_3,n) + spp4 = np.reshape(spp_4,n) + + nchemstar_1, nchemstar_2, nchemstar_3, nchemstar_4 = extract3d(m, m.nchemstar,'CO2') + + nchemstar1 = np.reshape(nchemstar_1, n) + nchemstar2 = np.reshape(nchemstar_2, n) + nchemstar3 = np.reshape(nchemstar_3, n) + nchemstar4 = np.reshape(nchemstar_4, n) + + + dnchemdt_1, dnchemdt_2, dnchemdt_3, dnchemdt_4 = extract3d(m, m.dnchemdt,'CO2') + dnchemdt1 = np.reshape(dnchemdt_1, n) + dnchemdt2 = np.reshape(dnchemdt_2, n) + dnchemdt3 = np.reshape(dnchemdt_3, n) + dnchemdt4 = np.reshape(dnchemdt_4, n) + + + nchem_1, nchem_2, nchem_3, nchem_4 = extract3d(m, m.nchem,'CO2') + nchem1 = np.reshape(nchem_1, n) + nchem2 = np.reshape(nchem_2, n) + nchem3 = np.reshape(nchem_3, n) + nchem4 = np.reshape(nchem_4, n) + + + nphysstar_1, nphysstar_2, nphysstar_3, nphysstar_4 = extract3d(m, m.nphysstar,'CO2') + nphysstar1 = np.reshape(nphysstar_1, n) + nphysstar2 = np.reshape(nphysstar_2, n) + nphysstar3 = np.reshape(nphysstar_3, n) + nphysstar4 = np.reshape(nphysstar_4, n) + + dnphysdt_1, dnphysdt_2, dnphysdt_3, dnphysdt_4 = extract3d(m, m.dnphysdt,'CO2') + dnphysdt1 = np.reshape(dnphysdt_1, n) + dnphysdt2 = np.reshape(dnphysdt_2, n) + dnphysdt3 = np.reshape(dnphysdt_3, n) + dnphysdt4 = np.reshape(dnphysdt_4, n) + + nphys_1, nphys_2, nphys_3, nphys_4 = extract3d(m, m.nphys,'CO2') + nphys1 = np.reshape(nphys_1, n) + nphys2 = np.reshape(nphys_2, n) + nphys3 = np.reshape(nphys_3, n) + nphys4 = np.reshape(nphys_4, n) + + + if (result.solver.status == SolverStatus.ok) and (result.solver.termination_condition == TerminationCondition.optimal): + status = 'converged' + elif (result.solver.termination_condition==TerminationCondition.infeasible): + status = 'infeasible solution' + else: + status = 'other' + + + + # Meshgrid + x = [] + for t in m.t: + x.append(value(t)) + + y = [] + for z in m.zgrid: + y.append(value(z)) + + + [X,Y] = np.meshgrid(x,y) + time = np.reshape(X,n) + space = np.reshape(Y,n) + + if m.chemsorb and m.physsorb: + if m.energy: + store = pd.DataFrame({'time': time, + 'position':space, + 'T_inlet': m.temp_orig, + 'y_inlet': m.yfeed['CO2'], + status: 0, + 'fco2': FCO21, + 'den_N2': C_N21, + 'den_CO2': C_CO21, + 'dcdt_N2':dcdt_N21, + 'dcdt_CO2':dcdt_CO21, + 'vel': vel1, + 'pressure':P1, + 'temp': T1, + 'dTdt': dTdt1, + 'nplin': nplin1, + 'total_den':total_den1, + 'solid_pres':spp1, + 'nchem_eq': nchemstar1, + 'nphys_eq': nphysstar1, + 'dndt_chem': dnchemdt1, + 'dndt_phys': dnphysdt1, + 'nchem': nchem1, + 'nphys':nphys1, + 'fco2_k': FCO22, + 'den_N2_k': C_N22, + 'den_CO2_k': C_CO22, + 'dcdt_N2_k':dcdt_N22, + 'dcdt_CO2_k':dcdt_CO22, + 'vel_k': vel2, + 'pressure_k':P2, + 'temp_k': T2, + 'total_den_k':total_den2, + 'solid_pres_k':spp2, + 'nchem_eq_k': nchemstar2, + 'nphys_eq_k': nphysstar2, + 'dndt_chem_k': dnchemdt2, + 'dndt_phys_k': dnphysdt2, + 'nchem_k': nchem2, + 'nphys_k': nphys2, + 'fco2_u': FCO23, + 'den_N2_u': C_N23, + 'den_CO2_u': C_CO23, + 'dcdt_N2_u':dcdt_N23, + 'dcdt_CO2_u':dcdt_CO23, + 'vel_u': vel3, + 'pressure_u':P3, + 'temp_u': T3, + 'total_den_u':total_den3, + 'solid_pres_u':spp3, + 'nchem_eq_u': nchemstar3, + 'nphys_eq_u': nphysstar3, + 'dndt_chem_u': dnchemdt3, + 'dndt_phys_u': dnphysdt3, + 'nchem_u': nchem3, + 'nphys_u': nphys3, + 'fco2_f': FCO24, + 'den_N2_f': C_N24, + 'den_CO2_f': C_CO24, + 'dcdt_N2_f':dcdt_N24, + 'dcdt_CO2_f':dcdt_CO24, + 'vel_f': vel4, + 'pressure_f':P4, + 'temp_f': T4, + 'total_den_f':total_den4, + 'solid_pres_f':spp4, + 'nchem_eq_f': nchemstar4, + 'nphys_eq_f': nphysstar4, + 'dndt_chem_f': dnchemdt4, + 'dndt_phys_f': dnphysdt4, + 'nchem_f': nchem4, + 'nphys_f': nphys4 + }) + + else: + # save the arrays into the data frame + # TODO: add the third set + store = pd.DataFrame({'time': time, + 'position':space, + 'T_inlet': m.temp_orig, + 'y_inlet': m.yfeed['CO2'], + 'fco2': FCO21, + 'den_N2': C_N21, + 'den_CO2': C_CO21, + 'dcdt_N2':dcdt_N21, + 'dcdt_CO2':dcdt_CO21, + 'vel': vel1, + 'pressure':P1, + 'total_den':total_den1, + 'solid_pres':spp1, + 'nchem_eq': nchemstar1, + 'nphys_eq': nphysstar1, + 'dndt_chem': dnchemdt1, + 'dndt_phys': dnphysdt1, + 'nchem': nchem1, + 'nphys':nphys1, + 'den_N2_u': C_N22, + 'den_CO2_u': C_CO22, + 'dcdt_N2_u':dcdt_N22, + 'dcdt_CO2_u':dcdt_CO22, + 'vel_u': vel2, + 'pressure_u':P2, + 'total_den_u':total_den2, + 'solid_pres_u':spp2, + 'nchem_eq_u': nchemstar2, + 'nphys_eq_u': nphysstar2, + 'dndt_chem_u': dnchemdt2, + 'dndt_phys_u': dnphysdt2, + 'nchem_u': nchem2, + 'nphys_u': nphys2 + }) + + else: + print('check the adsorption options!!! not a square problem') + + return store + +def initial_bed_csv(m, store_): + ''' + Initialize the bed with values for every time node and every grid. + This version uses linear interporation + + Arguments: + m: model + store_ : the pandas dataframe storing solution + note that this function will be used before running the model, so this store_ will be the previous solution. + + Return: None + + ''' + + # Extract the length of time nodes and grid nodes + nTime = len(m.t) + nGrid = len(m.zgrid) + n = nTime*nGrid + + + + Z = np.unique(np.asarray(store_['position'])) + T = np.unique(np.asarray(store_['time'])) + + print('Model # of time grid is', nTime, ', initial point # of time grid is', len(T)) + + # Extract every variable + den_N2 = np.asarray(store_['den_N2']) + den_CO2 = np.asarray(store_['den_CO2']) + + dcdt_N2 = np.asarray(store_['dcdt_N2']) + dcdt_CO2 = np.asarray(store_['dcdt_CO2']) + + P = np.asarray(store_['pressure']) + vel_ = np.asarray(store_['vel']) + total_den = np.asarray(store_['total_den']) + + if m.energy: + temp_co = np.asarray(store_['temp']) + dTdt_co = np.asarray(store_['dTdt']) + nplin_co = np.asarray(store_['nplin']) + + if m.isotherm: + s_pres = np.asarray(store_['solid_pres']) + + if m.physsorb: + nphys_eq = np.asarray(store_['nphys_eq']) + dnphysdt = np.asarray(store_['dndt_phys']) + nphys = np.asarray(store_['nphys']) + + if m.chemsorb: + nchem_eq = np.asarray(store_['nchem_eq']) + dnchemdt = np.asarray(store_['dndt_chem']) + nchem = np.asarray(store_['nchem']) + + c_N2 = interp2d(Z, T, den_N2, kind='cubic') + c_CO2 = interp2d(Z, T, den_CO2, kind='cubic') + + dcdt_N2_ = interp2d(Z, T, dcdt_N2, kind='cubic') + dcdt_CO2_ = interp2d(Z, T, dcdt_CO2, kind='cubic') + + V = interp2d(Z, T, vel_, kind='cubic') + pres = interp2d(Z, T, P, kind='cubic') + tot_den = interp2d(Z, T, total_den, kind='cubic') + + if m.energy: + temp_e = interp2d(Z, T, temp_co, kind='cubic') + dTdt_e = interp2d(Z, T, dTdt_co, kind='cubic') + nplin_e = interp2d(Z, T, nplin_co, kind='cubic') + + if m.isotherm: + solid_pres = interp2d(Z, T, s_pres, kind='cubic') + if m.physsorb: + Nphys_e = interp2d(Z, T, nphys_eq, kind='cubic') + dndt_phys = interp2d(Z, T, dnphysdt, kind='cubic') + Nphys = interp2d(Z, T, nphys, kind='cubic') + + if m.chemsorb: + Nchem_e = interp2d(Z, T, nchem_eq, kind='cubic') + dndt_chem = interp2d(Z, T, dnchemdt, kind='cubic') + Nchem = interp2d(Z, T, nchem, kind='cubic') + + + # Loop for every time and grid nodes + for j in m.perturb: + for z in m.zgrid: + for i in m.t: + z_ = value(z) /(Ngrid) + t_ = value(i) + m.C[j,'N2',z,i] = c_N2(z_, t_)[0] + m.C[j,'CO2',z,i] = c_CO2(z_,t_)[0] + + m.dCdt[j,'N2',z,i] = dcdt_N2_(z_, t_)[0] + m.dCdt[j,'CO2',z,i] = dcdt_CO2_(z_, t_)[0] + + m.v[j,z,i] = V(z_,t_)[0] + m.P[j,z,i] = pres(z_,t_)[0] + m.total_den[j,z,i] = tot_den(z_,t_)[0] + + if m.energy: + m.temp[j,z,i] = temp_e(z_, t_)[0] + m.dTdt[j,z,i] = dTdt_e(z_, t_)[0] + m.nplin[j,z,i] = nplin_e(z_, t_)[0] + + if m.isotherm: + m.spp[j,'CO2',z,i] = solid_pres(z_, t_)[0] + x = alpha_scale*(solid_pres(z_, t_)[0] - plin) + + if alpha_option == 1: + alpha_ = 0.5*(1 - x / np.sqrt(eps_alpha + x*x)) + elif alpha_option == 2: + alpha_ = 1 - 1 /(1 + exp(-x)) + elif alpha_option == 3: + alpha_ = 0.0 + elif alpha_option == 4: + alpha_ = 1.0 + + if alpha_variable: + m.alpha[j,'CO2',z,i] = alpha_ + + if m.chemsorb: + m.nchemstar[j,'CO2',z,i] = Nchem_e(z_, t_)[0] + m.dnchemdt[j,'CO2',z,i] = dndt_chem(z_, t_)[0] + m.nchem[j,'CO2',z,i] = Nchem(z_, t_)[0] + if m.energy: + m.nchemstar_mod[j,'CO2',z,i] = alpha_*value(m.nplin[j,z,i])*solid_pres(z_, t_)[0]/plin + (1-alpha_)*Nchem_e(z_, t_)[0] + else: + m.nchemstar_mod[j,'CO2',z,i] = alpha_*m.nplin*solid_pres(z_, t_)[0]/plin + (1-alpha_)*Nchem_e(z_, t_)[0] + + if m.physsorb: + m.nphysstar[j,'CO2',z,i] = Nphys_e(z_, t_)[0] + #m.nphysstar_mod[j,'CO2',z,i] = alpha_*m.nplin*solid_pres(z_, t_)[0]/plin + (1-alpha_)*Nphys_e(z_, t_)[0] + m.dnphysdt[j,'CO2',z,i] = dndt_phys(z_, t_)[0] + m.nphys[j,'CO2',z,i] = Nphys(z_, t_)[0] + + + + +def compute_Kp(mod,LOUD=True): + ''' Compute Kp from the solution [m^2/s] + + ''' + Kp_ = {} + for c in mod.SCOMPS: + tfc = value(mod.fitted_transport_coefficient[c]) + + Kp_[c] = radp*radp/15/ads_epsp/tfc + + if LOUD: + print("fitted_transport_coefficient[",c,"] =",tfc,"s") + print("Kp[",c,"] =",Kp_[c],"m^2/s") + + return Kp_ + + +### DoE analysis function +def ext_pres_double(total, option1, option2, node): + ''' + Extract the solution of a variable + Arguments: + total: a pandas dataframe of solutions + option: name of the variable + node: number of timesteps + Note: the Ngrid is fixed to 20 + Return: a list + ''' + x_py1 = total[option1] + x_pyomo1 = np.zeros((20,node)) + + for i in range(0,20): + for j in range(0,node): + x_pyomo1[i,j] = x_py1.iloc[i*node+j] + + x_py2 = total[option2] + x_pyomo2 = np.zeros((20,node)) + + for m in range(0,20): + for k in range(0,node): + x_pyomo2[m,k] = x_py2.iloc[m*node+k] + + return x_pyomo1, x_pyomo2 + +def ext_pres(total, option1, node): + ''' + Extract the solution of a variable + Arguments: + total: a pandas dataframe of solutions + option: name of the variable + node: number of timesteps + Note: the Ngrid is fixed to 20 + Return: a list + ''' + x_py1 = total[option1] + x_pyomo1 = np.zeros((20,node)) + + for i in range(0,20): + for j in range(0,node): + x_pyomo1[i,j] = x_py1.iloc[i*node+j] + + return x_pyomo1 + + +def get_fco2(con_s, vel_s): + ''' + Calculate the outlet CO2 molar flowrate with extracted solutions + Argument: + con_s: a list of CO2 density + vel_s: a list of velocity + Note: the Ngrid is fixed to 20 + Return: a list of FCO2 + ''' + outlet = con_s[19, :] + outlet_velo = vel_s[19, :] + + FCO2 = np.zeros((len(outlet))) + for i in range(0, len(outlet)): + #LHS: mmol/min + #RHS: mol/m3 * cm/s * m2 * 60*1000/100 + FCO2[i] = (outlet[i]*outlet_velo[i]*3.1415926*rbed*rbed*600) + return FCO2 + +def average(lis): + ''' + Get the average value of velocity/pressure etc. + ''' + li = np.asarray(lis) + res = li.reshape([69*20,]) + return sum(res)/len(res) + +def time_points(n, time_range): + ''' + Split the timespan of the experiment into n nodes + + Argument: n: the number of time nodes. + + return: time_points, a list of values of timepoints in [s] + ''' + time_points = [] + int_time = time_range/n + + # specify where the time begins. Usually 0 + time_ele = 0 + time_points.append(time_ele) + for i in range(n): + time_ele += int_time + time_points.append(time_ele) + + return time_points + +def Residual(m): + ''' + Calculate the residual with a given model + return: + res: the residual at every timepoint + FCO2: the CO2 outlet flowrate at every timepoint + ''' + + # Extract time + T = [] + for j in m.t: + T.append(value(j)) + t_final = T[-1] + + # Extract CO2 density + outlet_den = extract3d(m, m.C, 'CO2') + outlet_ = [] + outlet_.append(outlet_den[Ngrid-1, :]) + outlet = np.reshape(outlet_, len(T)) + + # Extract velocity + outlet_vel = extract2d(m, m.v) + outlet_v = [] + outlet_v.append(outlet_vel[Ngrid-1, :]) + outlet_velo = np.reshape(outlet_v, len(T)) + + # Extract values of FCO2 + FCO2_ = [] + for i in range(0, len(T)): + FCO2_.append(value(m.FCO2[T[i]])) + + # Extract values of yCO2 + yCO2_ = [] + for i in range(0, len(T)): + yCO2_.append(value(m.yCO2[T[i]])) + + # Get value of residual + res = 0 + for i in range(0, len(outlet)): + res += (outlet[i]*outlet_velo[i]*3.1415926*rbed*rbed*600 - FCO2_[i])**2 + + FCO2 = np.zeros((len(outlet))) + for i in range(0, len(outlet)): + FCO2[i] = (outlet[i]*outlet_velo[i]*3.1415926*rbed*rbed*600) + + return res, FCO2 + +def breakthrough_modify(m,exp): + ''' + Draw breakthrough curve, comparing experimental data with simulation data. + + Arguments: + m: moel + exp: experimental data + + + Return: None + + Other: plot + + ''' + + break_wvu = pd.read_csv('breakthrough_wvu.csv') + + # unit: mol/m3 + outlet_den = extract3d(m, m.C, 'CO2') + + # unit: cm/s + outlet_vel = extract2d(m, m.v) + + outlet_n2 = extract3d(m, m.C, 'N2') + #print(outlet_den) + #print(outlet_n2) + #print(outlet_vel) + T = [] + for j in m.t: + T.append(value(j)) + t_final = T[-1] + + #print(T) + #print(exp['time']*60) + #print(break_wvu['time']*60) + + data_c1 = exp['yCO2'] + data_c = np.asarray(data_c1) + data_t1 = exp['time'] + data_t = np.asarray(data_t1*60+10) + new_data = np.interp(T, data_t, data_c) + + #print(break_wvu['FCO2']) + #print(exp['time']) + + plt.plot(exp['time']*60, exp['yCO2'],'b.', color='r') + #plt.plot(exp_nolin['time']*60, exp_nolin['yCO2'], label='WVU curve') + plt.plot(break_wvu['time']*60, break_wvu['FCO2'], label='WVU curve') + plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Pyomo curve') + + # Use for 1200 - 1500 seconds: + + #plt.plot(exp['time'][35:42]*60, exp['yCO2'][35:42],'b.', color='r') + #plt.plot(break_wvu['time'][1700:2000]*60, break_wvu['FCO2'][1700:2000], label='WVU curve') + #plt.plot(T[1:], outlet_den[-1,1:]*outlet_vel[-1,1:]/6.7, label='Pyomo curve') + + #plt.plot(T, outlet_n2[-1,:]*outlet_vel[-1,:]/(outlet_n2[-1, -1]*outlet_vel[-1,-1]),label='N2') + plt.xlabel('time [s]') + plt.ylabel('Normalized outlet gas density of CO2') + plt.title('breakthrough curve') + plt.legend() + plt.show() + + + +def energy_balance_old(m, j, z, t): + ''' + Energy balance assuming Tambient = Twall, Tg=Ts + Equation from [Dowling, 2012] + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: ODE for calculating component species density + + ''' + # calculate sum(ci*cpg) + # mol/m3 * J/mol/K = J/m3/K + sum_c = sum(m.C[j,i,z,t]*m.cpg[j,i,z,t] for i in m.COMPS) + + # calculate the coefficient of dT/dt + # J/m3/K + kg/m3 * J/kg/K = J/m3/K + dividant = ads_epsb*sum_c + den_bed*cps + + # calculate the sum of Hi*dni/dt + # kJ/mol * mol/kg/s = kJ/kg/s + sum_hdn = sum(-m.H_ads[a]*(m.dnchemdt[j,a,z,t]+m.dnphysdt[j,a,z,t]) for a in m.SCOMPS) + + # sum of heat flow, [J/m3] + # RHS: mol/m3 * J/mol = J/m3 + h_sum = sum(m.C[j,b,z,t]*m.h[j,b,z,t] for b in m.COMPS) + + # heat flow feed, [J/m3] + h_sum_feed = sum(m.den_f[p]*m.h_feed[p] for p in m.COMPS) + + # LHS: W/m3 = J/s/m3 + # RHS: cm/s * 1m/100cm * J/m3 * 1/m = J/s/m3 + if z==0: + duhdz = (m.v[j,z,t]*0.01*h_sum - vel_f*0.01*h_sum_feed)/dz + else: + # heat flow of the previous grid, [J/m3] + h_sum_back = sum(m.C[j,b,z-1,t]*m.h[j,b,z-1,t] for b in m.COMPS) + duhdz = (m.v[j,z,t]*0.01*h_sum - m.v[j,z-1,t]*0.01*h_sum_back)/dz + + # LHS: K/s + # RHS: (kg/m3 * kJ/kg/s * 1000J/1kJ - J/m3/s - J/s/m3/K *K)/ (J/m3/K) = K/s + #if m.temp_option==2: + # return m.dTdt[j,z,t] == (den_bed*sum_hdn*1000 - duhdz - exp(m.ua[j])*(m.temp[j,z,t]-m.temp_bath))/dividant + #elif m.temp_option==1: + if m.est_ua: + return m.dTdt[j,z,t] == (den_bed*sum_hdn*1000 - duhdz - exp(m.ua)*(m.temp[j,z,t]-m.temp_bath))/dividant + else: + return m.dTdt[j,z,t] == (den_bed*sum_hdn*1000 - duhdz - exp(m.ua[j])*(m.temp[j,z,t]-m.temp_bath))/dividant + + +def breakthrough_modify2(m, file=None, source="computer"): + ''' + Draw breakthrough curve of the Pyomo model + + Arguments: + m: Pyomo model + file: when source = 'computer', this is where the computer experimental data is stored. Otherwise, its default is None + source: if computer, it is plotting the computer experiment data. If lab, its comparing the experiments from the lab + + Return: None + + Other: plot + + ''' + + + # unit: mol/m3 + outlet_den, _, _, _ = extract3d(m, m.C, 'CO2') + + # unit: cm/s + outlet_vel, _, _, _ = extract2d(m, m.v) + + outlet_n2, _, _, _ = extract3d(m, m.C, 'N2') + #print(outlet_den) + #print(outlet_n2) + #print(outlet_vel) + + model_temp, _,_,_ = extract2d(m,m.temp) + + + T = [] + for j in m.t: + T.append(value(j)) + t_final = T[-1] + + #print(T) + #print(exp['time']*60) + #print(break_wvu['time']*60) + + if source == "lab": + break_wvu = pd.read_csv('breakthrough_wvu.csv') + + exp = pd.read_csv('co2_breakthrough.csv') + + data_c1 = exp['yCO2'] + data_c = np.asarray(data_c1) + data_t1 = exp['time'] + data_t = np.asarray(data_t1*60+10) + new_data = np.interp(T, data_t, data_c) + + #print(break_wvu['FCO2']) + #print(exp['time']) + + plt.plot(exp['time']*60, exp['yCO2'],'b.', color='r', label='Experimental data') + #plt.plot(exp_nolin['time']*60, exp_nolin['yCO2'], label='WVU curve') + #plt.plot(break_wvu['time']*60, break_wvu['FCO2'], label='WVU curve') + plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Model prediction') + + # Use for 1200 - 1500 seconds: + + #plt.plot(exp['time'][35:42]*60, exp['yCO2'][35:42],'b.', color='r') + #plt.plot(break_wvu['time'][1700:2000]*60, break_wvu['FCO2'][1700:2000], label='WVU curve') + #plt.plot(T[1:], outlet_den[-1,1:]*outlet_vel[-1,1:]/6.7, label='Pyomo curve') + + #plt.plot(T, outlet_n2[-1,:]*outlet_vel[-1,:]/(outlet_n2[-1, -1]*outlet_vel[-1,-1]),label='N2') + plt.xlabel('time [s]') + plt.ylabel('Normalized outlet gas density of CO\N{SUBSCRIPT TWO} ') + plt.title('Breakthrough curve') + #plt.savefig('break_tr%.fua%.f.png'%(tr,ua)) + plt.legend() + plt.show() + + elif source == "computer": + + sol = pd.read_csv(file) + + #for i in range(len(time_exp)): + # yco2_exp[time_exp[i]] = sol['FCO2'][i] + # temp_mid_exp[time_exp[i]] = sol['temp_mid'][i] + # temp_end_exp[time_exp[i]] = sol['temp_end'][i] + + exp_fco2 = np.asarray(sol['FCO2'].values.tolist()) + exp_temp_mid = np.asarray(sol['temp_mid'].values.tolist()) + exp_temp_end = np.asarray(sol['temp_end'].values.tolist()) + + plt.plot(T, exp_fco2/exp_fco2[-1], label = 'Experimental data') + plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Model prediction') + plt.xlabel('time [s]') + plt.ylabel('Normalized outlet gas density of CO\N{SUBSCRIPT TWO} ') + plt.title('Breakthrough curve') + #plt.savefig('break_tr%.fua%.f.png'%(tr,ua)) + plt.legend() + plt.show() + + + plt.plot(T, exp_temp_mid, label='Experimental data of middle T') + plt.plot(T, model_temp[10,:], label='Model prediction of middle T') + plt.plot(T, exp_temp_end, label='Experimental data of end T') + plt.plot(T, model_temp[19,:], label='Model prediction of end T') + plt.xlabel('time [s]') + plt.ylabel('Temperature [K]') + plt.title('Temperature model prediction and experimental data') + #plt.savefig('break_tr%.fua%.f.png'%(tr,ua)) + plt.legend() + plt.show() + + + +def makeplot_csv2(store_, temp_show = False): + ''' + Make plot from results stored before + To make plots from .csv file in fixed_bed_init.ipynb: first run code before solver, then run this function + + Arguments: + store_: a single pandas dataframe + + Return: None + + Other: plots + ''' + # Extract variable values from dataframe + den_N2 = np.asarray(store_['den_N2']) + den_CO2 = np.asarray(store_['den_CO2']) + vel_ = np.asarray(store_['vel']) + nchem_eq = np.asarray(store_['nchem_eq']) + nphys_eq = np.asarray(store_['nphys_eq']) + nchem = np.asarray(store_['nchem']) + nphys = np.asarray(store_['nphys']) + if temp_show: + temp_ = np.asarray(store_['temp']) + pres = np.asarray(store_['pressure']) + + Z = np.unique(np.asarray(store_['position'])) + T = np.unique(np.asarray(store_['time'])) + + Ngrid, NFEt = get_size_csv(store_) + + # Reshape the array into [# of grids, # of time nodes] + P = np.reshape(pres, (Ngrid, NFEt+1)) + c_N2 = np.reshape(den_N2,(Ngrid,NFEt+1)) + c_CO2 = np.reshape(den_CO2,(Ngrid,NFEt+1)) + V = np.reshape(vel_,(Ngrid,NFEt+1)) + Nchem_e = np.reshape(nchem_eq,(Ngrid,NFEt+1)) + Nphys_e = np.reshape(nphys_eq,(Ngrid,NFEt+1)) + Nchem = np.reshape(nchem,(Ngrid,NFEt+1)) + Nphys = np.reshape(nphys,(Ngrid,NFEt+1)) + if temp_show: + temp = np.reshape(temp_, (Ngrid, NFEt+1)) + + # Meshgrid + x = np.array(range(NFEt+1))*47.0588235294118 + y = np.array(range(Ngrid))/Ngrid + [X,Y] = np.meshgrid(x,y) + + z_N2 = c_N2 + z_CO2 = c_CO2 + z_vel = V + z_nce = Nchem_e + z_npe = Nphys_e + z_nc = Nchem + z_nph = Nphys + if temp_show: + z_T = temp + + # Visualize pressure + h = plt.contourf(X,Y,P) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Pressure [bar]') + plt.show() + + + # Visualize velocity + h = plt.contourf(X,Y,z_vel) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Velocity [cm/s]') + plt.show() + + # Visualize N2 density + h = plt.contourf(X,Y,z_N2) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('N2 Density [mol/m$^3$]') + plt.show() + + # Visualize CO2 density + h = plt.contourf(X,Y,z_CO2) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('CO2 Density [mol/m$^3$]') + plt.show() + + + # Visualize Chemical isotherm + h = plt.contourf(X,Y,z_nce) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Isotherm [mmol/g]') + plt.show() + + # Visualize physical isotherm + h = plt.contourf(X,Y,z_npe) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Isotherm [mmol/g]') + plt.show() + + # Visualize chemical loading + h = plt.contourf(X,Y,z_nc) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Loading [mmol/g]') + plt.show() + + # Visualize physical loading + h = plt.contourf(X,Y,z_nph) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Loading [mmol/g]') + plt.show() + + if temp_show: + # Visualize physical loading + h = plt.contourf(X,Y,z_T) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Temperature[K]') + plt.show() + + + +def ext_pres(total, option1, node): + ''' + Extract the solution of a variable + Arguments: + total: a pandas dataframe of solutions + option: name of the variable + node: number of timesteps + Note: the Ngrid is fixed to 20 + Return: a list + ''' + x_py1 = total[option1] + x_pyomo1 = np.zeros((20,node)) + + for i in range(0,20): + for j in range(0,node): + x_pyomo1[i,j] = x_py1.iloc[i*node+j] + + return x_pyomo1 + + +def ext_time(total, node): + ''' + Extract the time nodes + Argument: + total: a pandas dataframe of solutions + node: the number of timesteps + return: a list + ''' + t_py = total['pressure'] + time_p = t_py.index.to_list()[:node] + return time_p + +def get_fco2(con_s, vel_s): + ''' + Calculate the outlet CO2 molar flowrate with extracted solutions + Argument: + con_s: a list of CO2 density + vel_s: a list of velocity + Note: the Ngrid is fixed to 20 + Return: a list of FCO2 + ''' + outlet = con_s[19, :] + outlet_velo = vel_s[19, :] + + FCO2 = np.zeros((len(outlet))) + for i in range(0, len(outlet)): + #LHS: mmol/min + #RHS: mol/m3 * cm/s * m2 * 60*1000/100 + FCO2[i] = (outlet[i]*outlet_velo[i]*3.1415926*rbed*rbed*600) + return FCO2 \ No newline at end of file diff --git a/pyomo/contrib/doe/fixed_bed_model_v2.py b/pyomo/contrib/doe/fixed_bed_model_v2.py new file mode 100644 index 00000000000..67e18b12291 --- /dev/null +++ b/pyomo/contrib/doe/fixed_bed_model_v2.py @@ -0,0 +1,3262 @@ +import matplotlib.pyplot as plt +from pyomo.environ import * +from pyomo.dae import * + +import numpy as np +from scipy.interpolate import interp2d +import pandas as pd + +### Process options + +# Options related to the sigmoid function +# two sigmoid functions, or 0/1. +alpha_option = 2 +# If alpha is treating as a variable or a parameter +alpha_variable = False +# eps_alpha: small number used in smoothed absolute value for alpha +eps_alpha = 1.0E-6 +# scale alpha. [??-bar]^2. When alpha_scale = 100, then [??-bar] is [hecto-bar]. +alpha_scale = 500 + +print("alpha option:") +if alpha_option == 1: + print("1 / sqrt(eps + x*x)") +elif alpha_option == 2: + print("1 / (1 + exp(-x))") +elif alpha_option == 3: + print("alpha = 0.0") +elif alpha_option == 4: + print("alpha = 1.0") +else: + print("WARNING! Not Supported") + + +### Data and model constants + +# Molecular weight [g/mol] +MW = {'N2':28.013, 'CO2':44.010} + +# Number of axial grid elements +Ngrid = 20 + +# R as gas constant [kJ/mol/K] +RPV = 8.31446261815324E-3 + +# CO2 partial pressure when the pressure is too low , 0.003[MPa] +# Value from ACM +plin = 0.03 + +# Radius of the bed [m] +# Value from MosaicDataAssessment.docx +rbed = 2.3E-3 + +# Inlet gas volume rate [m^3/min] +# Value from Breakthrough-dmpn-Mg2dobpdc.xlsx +# Value is given as 10 sccm (standard cubic centimeters per minute), 1 m^3 = 1E6 cm^3 +volume_in_standard = 1.0E-5 + +# Inlet assumption 1 +# volume converted +# inlet temp 313.15 +# inlet pressure unchanged +totp_f = 1 + + + +# CO2 viscosity, [Pa*s] = [kg/m/s] +# Value from the viscosity data(found online and uploaded to git repo) +# Get from interpolation for CO2 at 313.15K +mu_co2 = 1.56E-5 + +# CO2 mole mass, [kg/mol] +M_co2 = 0.044010 + +# Total feed concentration [kmol/m^3] +# Calculation result is consistent with that given by Breakthrough-dmpn-Mg2dobpdc.xlsx +# Helpful converstions: J = kg*m2/s2, Pa = kg/m/s2, 1 MPa = 1000 * 1000 Pa +# LHS: mol/m3 +# RHS: kPa/ (kJ/mol) = mol/m3 = mol/m3 +###totden_f = totp_f*100/(den_feed_temp*RPV) + +# Inlet velocity [cm/s] +# RHS: m3/min/(m2)/(60s/min) *100cm/m = cm/s +#vel_f = volume_in* 100 /(np.pi*rbed*rbed) / 60 +vel_f = 1.16638 + +# Check inlet molar flowrate (which should be 0.4467mmol/min) +# LHS: mmol/min +# RHS: mol/m3 * 1000 mmol/mol * m3/min +#mol_in = 0.4467 + +# Porosity of the bed [\] +# The interparticle voidage, value from MosaicDataAssessment.docx +ads_epsb = 0.68 + +# Porosity of the particle [\] +# Intra-particle voidage, value from MosaicDataAssessment.docx +ads_epsp = 0.33 + + +# Density of the solid (no external voidage, only internal voidage) [kg/m3] +# Value from MosaicDataAssessment.docx +#den_bed = 1000 +den_s = 1000 + +# Solid density [kg/m3] +# Value of \rho_b in ACM +den_b = den_s*(1-ads_epsb) + +# sorbent specific heat [J/kg/K] +# value from Aug.report +cps = 1457 + +# Length of bed [m] +# Value from MosaicDataAssessment.docx +Lbed = 0.1334 + +# Length of each axial element [m] +dz = Lbed/Ngrid + +# Viscosity [Pa*s] +# Calculated from viscosity data(found online and have uploaded to git repo) +# fp_mu = (n2_mu(313k,1atm) + co2_mu(313k,1atm))/2, kg/m/s = Pa * s +fp_mu = 1.7035E-5 + + +# Initialization for the axial dispersion coefficients +# Values set by no reference +Dax = {'N2':0.0001, 'CO2':0.00005} + +## Bounds +# Used to use as a tighter bound[bar] +#P_low = 0.9 +#P_high = 1.1 + +P_low = 0.1 +P_high = 21 + +# Total density, mol/m3, MPa/RPV/temp +# LHS: mol/m3 # RHS: kPa/(kJ/mol) = mol/m3 +tden_low = P_low*100 / RPV / 313.15 +tden_high = P_high*100 / RPV / 313.15 + +# Adsorption kinetics constants +# Value from ParameterValues.xlsx +n_max = 3.82 # mol/kg +nmax_p1 = 3.52 # mol/kg +Ka = -0.92 # dimensionless +Kb = 324.86 # K +Kc = -71.14 # dimensionless +Kd = 28386.66 # K +b_a0 = 28.56 # 1/bar +b_b0 = 0.62 # 1/bar +Q_sta = 72.56 # kJ/mol +Q_stb = 43.83 # kJ/mol +T0 = 318 # K +n_a1 = 0.21 # dimensionless +E_na = 11.29 # kJ/mol + +# Use kinetic parameters in March excel, not in Aug report +K_c0 = 0.011882 #1/s +K_p0 = 0.07895 #1/s +E_c = 23.20784 #kJ/mol +E_p = 7.17967 #kJ/mol + +# Radius of particles [m] +# Value from MosaicDataAssessment.docx +radp = 2625.0E-7 + +# Film mass transfer coefficient [m/s] +# N2 and CO2 values from (Cavenati et al., 2006) +k_f ={'N2':2.56E-4, 'CO2':1.92E-4} + +# Value from emails with Ryan, Aug 19, 2019 [m^2/s] +# D_m = 0.53cm2/s = 0.53 E-4 m2/s = 5.3E-5 m^2/s +D_m = 5.3E-5 + +# Small number used in isotherm +spp_small_number = 1E-8 +#spp_small_number=1E-6 + +# Replace 0 for every lower bound to be this number +small_bound = 1E-8 +#small_bound=1E-6 + +#small_initial = 1E-6 +small_initial=0.01 + +# Initialize alpha +alpha0 = 1 + +# pore diameter +# fitted value from WVU report, [m] +rpore = 1.13E-11 + +# tortuosity +# fitted value from WVU report, [dimensionless] +tort = 50 + +# Ambient temperature, [K] +#temp_amb = 313.15 + +# Reference temperature for calculation of h +temp_base = 298.15 + + +def create_model(temp=313.15, temp_bath=313.15, y=0.15, para=212, ua=5.0E6, opt = True, conti=False, optimize_trace=True, diff=0, eps=0.01, energy = True, doe_model=False, est_tr=False, est_ua=False, k_aug=False, temp_option=1, isotherm = True, chemsorb = True, physsorb = True, dispersion = False, fix_pres = False, v_fix=False): + ''' + Creates a concrete Pyomo model and adds sets/parameters. + Toggles are saved into the model object. + + Arguments: + temp: the gas feed temperature, [K] + temp_bath: the water bathing temperature, [K]. If the energy balance is not included, temp == temp_bath + y: CO2 feed composition, [0,1] + para: the value of fitted_transport_parameter + opt: if true, toggle on the design of experiments objective + conti: if true, make the experiment design decisions (T, yinlet) degrees of freedom + diff: 0: no derivative estimate, 1: forward, -1: backward, 2: central + eps: step size for the finite difference perturbation + energy: decide if energy balance is added to the model + doe_model: if this model is for the DesignOfExperiment.py. if true, k and ua will be defined as variable, not expressions. + est_tr: if transport_coefficient will be estimated + est_ua: if ua will be estimated + k_aug: if this model is created for k_aug solver to get sensitivities + temp_option: 1: Twall=313.15K; 2: Twall=Tinlet; 3(to be added):Tinlet=313.15K, Twall=specified temp. + isotherm: decide if isotherm part is opened. Must open if one of the chemsorb/physsorb is opened. + chemsorb: decide if chemical adsorption part is opened to calculate adsorption kinetics + physsorb: decide if physical adsorption part is opened to calculate adsorption kinetics + dispersion: decide if dispersion part is included in gas molar balance calculation + fix_pres: decide if fixing the pressure and removing the ergun equation. For debugging + v_fix: decide if fixing the velocity and removing the ergun equation. For debugging + + Return: the model + ''' + + # create concrete Pyomo model + m = ConcreteModel() + + # Store model toggles + m.para = para + m.ua_init = ua + m.opt = opt + m.conti = conti + m.optimize_trace = optimize_trace + m.diff = diff + m.eps = eps + m.energy = energy + m.doe_model = doe_model + m.est_tr = est_tr + m.est_ua = est_ua + m.k_aug = k_aug + m.temp_option = temp_option + m.isotherm = isotherm + m.chemsorb = chemsorb + m.physsorb = physsorb + m.dispersion = dispersion + m.fix_pres = fix_pres + m.v_fix = v_fix + + m.temp_bath = temp_bath + + + # If DOE is open, estimation cannot be opened, vice versa + #assert (m.est_tr or m.est_ua) != m.opt, 'Parameter estimation and design of experiment cannot be run simultaneously' + assert m.opt >= m.conti, 'DoE must be opened when continuous DoE is opened' + + # Original bed temperature, [K] + if m.doe_model: + m.temp_orig = Var(initialize=temp, bounds=(100, 600)) + m.temp_orig.fix() + elif m.conti: + m.temp_orig = Var(initialize=temp, bounds=(293, 373)) + else: + m.temp_orig = temp + + print('The inlet gas temperature is ', value(m.temp_orig)) + + + # declare components set + m.COMPS = Set(initialize=['N2','CO2']) + + # declare components that adsorb + m.SCOMPS = Set(initialize=['CO2'], within=m.COMPS) + + # components that didn't adsorb + m.USCOMP = Set(initialize=['N2'], within=m.COMPS) + + # declare perturbation set + if diff is 0: + pert_set = ['base'] + elif diff is 1: + pert_set = ['base','forward_k','forward_ua'] + elif diff is -1: + pert_set = ['base','backward_k','backward_ua'] + elif diff is 2: + pert_set = ['forward_k','forward_ua','backward_k','backward_ua'] + else: + print('Select for option "diff" is invalid!!!!') + + # assemble this set based on the options + m.perturb = Set(initialize=pert_set) + + # define parameter value according to perturbation + def perturbations_k(m, i): + if i is 'base' or 'forward_ua' or 'backward_ua': + return 1.0*m.para + elif i is 'forward_k': + return (1.0 + m.eps)*m.para + elif i is 'backward_k': + return (1.0 - m.eps)*m.para + + # composition of feed + yfeed = {'N2':1-y, 'CO2':y} + + # Film mass transfer coefficient, m/s + m.kf = Param(m.COMPS, initialize=k_f) + + # Molecular weight [kg/kmol] + m.MW = Param(m.COMPS,initialize=MW) + + # Dax, the dispersion efficient + m.Dax = Param(m.COMPS,initialize=Dax) + + # Manually discretize axial dimension + m.zgrid = Set(initialize=range(0,Ngrid)) + + # Initial bed N2 concentration at time 0.0 [mol/m3] + # LHS: mol/m3 + # RHS: [kPa] / ([K] * [kJ/mol/K]) = Pa/(J/mol) = mol/m^3 + m.den_inert = Param(initialize=totp_f*100/(m.temp_bath*RPV)) + + # Total feed density, [mol/m3] + m.totden_f = Param(initialize=totp_f*100/(m.temp_orig*RPV)) + + print('The inlet feed density is', value(m.totden_f), '[mol/m3]') + + if m.conti: + m.yfeed = Var(m.COMPS, initialize=yfeed, bounds=(0.1,0.45), within=NonNegativeReals) + elif m.doe_model: + m.yfeed = Var(initialize=y, bounds=(0,1), within=NonNegativeReals) + m.yfeed.fix() + else: + m.yfeed = Param(m.COMPS, initialize=yfeed) + + def den_f_rule(m,i): + return m.yfeed[i]*value(m.totden_f) + + def den_f_rule_doe(m,i): + if i=='CO2': + return m.yfeed*value(m.totden_f) + elif i=='N2': + return (1-m.yfeed)*value(m.totden_f) + + if m.doe_model: + m.den_f = Expression(m.COMPS, rule=den_f_rule_doe) + else: + m.den_f = Expression(m.COMPS, rule=den_f_rule) + + # Estimate coefficient for parameter estimation + if not m.est_tr: + if m.doe_model: + m.fitted_transport_coefficient = Var(m.perturb, bounds=(100, 400)) + m.fitted_transport_coefficient.fix(m.para) + elif m.k_aug: + m.fitted_transport_coefficient = Var(initialize=m.para) + #m.fitted_transport_coefficient.setlb(m.para) + #m.fitted_transport_coefficient.setub(m.para) + else: + m.fitted_transport_coefficient = Expression(m.perturb, rule=perturbations_k) + else: + m.fitted_transport_coefficient = Var(initialize=para,bounds=(100,300)) + + # energy balance is added + if not m.energy: + # For continuous, temp and yfeed will be variable + if m.conti: + m.temp = Var(initialize = m.temp_orig, bounds=(293.15, 373.15), within=NonNegativeReals) + else: + m.temp = Param(initialize=m.temp_orig) + + # define inv_k_oc, inv_k_op according to perturbation + # inv_k_oc is in [1/s], therefore the k_trans is in [1/s] + def inv_k_oc_init(m, i): + return m.fitted_transport_coefficient[i]+1/(K_c0*exp(-E_c/(RPV*m.temp) + E_c/(RPV*T0))) + + def inv_k_op_init(m, i): + return m.fitted_transport_coefficient[i]+1/(K_p0*exp(-E_p/(RPV*m.temp) + E_p/(RPV*T0))) + + # For square problem/optimization problem, parameter, k_oc/p are parameters + if not m.est_tr: + m.inv_K_oc = Param(m.perturb,initialize=inv_k_oc_init) + m.inv_K_op = Param(m.perturb,initialize=inv_k_op_init) + + # Eq 14 in Aug. 2018 WVU report + # LHS: [1/bar] + # RHS: [1/bar] * exp( [kJ/mol]/[kJ/mol/K * K] ) = [1/b] * exp( [ dimensionless ] ) + m.b_a = Param(initialize=b_a0*exp(Q_sta/(RPV*T0)*(T0/m.temp-1))) + + # Eq 15 in Aug. 2018 WVU report + # LHS: dimensionless + # RHS: dimensionless * exp( [kJ/mol]/[kJ/mol/K * K] ) = [dimensionless] * exp([dimensionless ]) + m.n_a = Param(initialize=n_a1*exp(E_na/(RPV*T0)*(T0/m.temp-1))) + + #m.inv_n_a = Param(initialize=1/m.n_a) + inv_n_a = 1/m.n_a + + # Eq 13 in Aug. 2018 WVU report + # LHS: dimensionless + # RHS: dimensionless + K/K + m.K_eq = Param(initialize=exp(Ka + Kb/m.temp)) + + ### Physical adsorption isotherm + + # Eq 14 in Aug. 2018 WVU report + # LHS: bar-1 + # RHS: bar-1 * (kJ/mol)/(kJ/mol/K * K) + m.b_b = Param(initialize = b_b0*exp(Q_stb/(RPV*T0)*(T0/m.temp-1))) + + # Eq 16 in Aug. 2018 WVU report + # LHS: mol/kg + # RHS: mol/kg * 1 + m.nmax_p = Param(initialize=nmax_p1*(exp(Kc+Kd/m.temp)/(1+exp(Kc+Kd/m.temp)))) + + # Eq 12 in Aug. 2018 WVU report + # LHS: mol/kg + # RHS: mol/kg * 1 / 1 = mol/kg + m.nmax_c = Param(initialize=n_max*m.K_eq/(1+m.K_eq)) + + # Linear pressure adsorption when P < Plinear + # According to ACM + # LHS: mol/kg + # RHS: mol/kg * ((1/bar * bar )/ (bar^-1 * 10bar)) + nplin_num = (m.b_a*plin)**(inv_n_a) + nplin_de = 1+(m.b_a*plin)**(inv_n_a) + m.nplin = Param(initialize=m.nmax_c*(nplin_num/nplin_de)) + + return m + + + +def bounds_velocity(m, z, t): + ''' Add bounds to velocity [cm/s] + ''' + if t == 0.0: + #return (1E-4, 0.3) # bounds for 313K, 0.15 + return (1E-2, 30) # bounds for DoE problem + else: + #return (0.8,1.4) # bounds for 313K, 0.15 + return (0.01, 5.0) # bounds for DoE problem + +def bounds_velocity_pert(m, j, z, t): + ''' Add bounds to velocity [cm/s] + ''' + # Change to cm/s + if t == 0.0: + #return (1E-4, 0.3) # bounds for 313K, 0.15 + return (1E-2, 30) # bounds for DoE problem + else: + #return (0.8,1.4) # bounds for 313K, 0.15 + return (0.01, 5.0) # bounds for DoE problem + +def breakthrough_bounds(z,t): + ''' Check if position and time coordinates in region with + no breakthrough. + + We draw a line between (t = 50% breakthrough, end of bed) and + (t=0, z = 25% bed length). Anything "above" this line we designate as in the + region of no breakthrough and return True. We impose tighter bounds if true. + ''' + + t50 = 1500 # 50% breakthrough time [s] + t0_intercept = 0.4 + + # return (t0_intercept - 1)/t50*value(t) + t0_intercept > value(z)/Ngrid + return False + + +def den_bounds(m,c,t,z): + '''[mol/m3] + ''' + if breakthrough_bounds(z,t): + if c == 'N2': + return (0.9*tden_low, tden_high) + elif c == 'CO2': + return (small_bound, 0.1*tden_high) + else: + return (small_bound, tden_high) + else: + return (small_bound, tden_high) + +def den_bounds_pert(m,j,c,t,z): + if breakthrough_bounds(z,t): + if c == 'N2': + return (0.9*tden_low, tden_high) + elif c == 'CO2': + return (small_bound, 0.1*tden_high) + else: + return (small_bound, tden_high) + else: + return (small_bound, tden_high) + +def surface_partial_pressure_bounds(m,c,z,t): + ''' [bar] + ''' + + if breakthrough_bounds(z,t): + return (1E-5, 0.5) + else: + return (1E-8, P_high) + +def surface_partial_pressure_bounds_pert(m,j,c,z,t): + ''' [bar] + ''' + if breakthrough_bounds(z,t): + return (1E-5, 0.5) + else: + return (small_bound, P_high) + +def phys_star_bounds(m,c,z,t): + '''[mmol/g]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.1) + else: + #return (0.0, 0.8) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def phys_star_bounds_pert(m,j,c,z,t): + '''[mmol/g]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.1) + else: + #return (0.0, 0.8) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def chem_star_bounds(m,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.3) + else: + #return (0.0, 2.6) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def chem_star_bounds_pert(m,j,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.3) + else: + #return (0.0, 2.6) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def phys_loading_bounds(m,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.1) + else: + #return (0.0, 0.8) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def phys_loading_bounds_pert(m,j,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 0.1) + else: + #return (0.0, 0.8) # bounds for 313K, 0.15 + return (small_bound, 10.0) + + +def chem_loading_bounds(m,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 2.0) + else: + #return (0.0, 2.6) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def chem_loading_bounds_pert(m,j,c,z,t): + '''[mol/kg]''' + + if breakthrough_bounds(z,t): + return (small_bound, 2.0) + else: + #return (0.0, 2.6) # bounds for 313K, 0.15 + return (small_bound, 10.0) + +def jac_bounds(m, t): + '''very wide bounds based on units + ''' + return (-1, 1) + +def add_variables(m, dynamic=True, tf=3600, timesteps=None, start=0): + ''' + Add variables to the Pyomo model using the toggles previously specified. + + Arguments: + m: the model + dynamic: determine if dynamic model or steady state model is used (for initialization approach 1) + tf: the time scale [s] + timesteps: time of the process, [s]. + single number: final time + array: time points (non-uniform discretization) + + Return: None + ''' + + # Store option + m.dynamic = dynamic + + # Time [s] + if dynamic: + if timesteps is None: + m.t = ContinuousSet(bounds=(0,tf)) + m.tf = tf + else: + m.t = ContinuousSet(bounds=(start,max(timesteps)), initialize=timesteps) + m.tf = max(timesteps) + m.t0 = min(timesteps) + else: + m.t = Set(initialize=[0]) + + # Gas phase density (concentration) [mol/m^3] + m.C = Var(m.perturb, m.COMPS, m.zgrid, m.t, bounds=den_bounds_pert) + + # Gas phase density derivative, [mol/m^3] / [s] + m.dCdt = DerivativeVar(m.C, wrt=m.t) + + # Total gas phase density [mol/m3] + m.total_den = Var(m.perturb, m.zgrid, m.t, bounds=(tden_low, tden_high)) + + # Gas phase velocity [cm/s] + m.v = Var(m.perturb, m.zgrid, m.t, initialize=0.1, bounds=bounds_velocity_pert) + if m.v_fix: + m.v.fix() + + # Gas pressure [bar] + #m.kfilm = Var(m.perturb, m.zgrid, m.t, initialize=1.92E-4, bounds=(0,1)) + + # Gas pressure [bar] + m.P = Var(m.perturb, m.zgrid, m.t,initialize=1, bounds=(P_low, P_high)) + if m.fix_pres: + m.P.fix() + + # Temperature [K] + if m.energy: + # temperature is initialized to be the T_inlet. As this is the gas temperature, it should be started to be the inlet gas temperature. + #m.temp = Var(m.perturb, m.zgrid, m.t, initialize=value(m.temp_orig), bounds=(273.15,500.15), within=NonNegativeReals) + m.temp = Var(m.perturb, m.zgrid, m.t, initialize=m.temp_bath, bounds=(273.15,500.15), within=NonNegativeReals) + #m.temp = Var(m.perturb, m.zgrid, m.t, initialize=m.temp_water, bounds=(273.15,1000), within=NonNegativeReals) + m.dTdt = DerivativeVar(m.temp, wrt=m.t) + + + def perturbations_ua(m, i): + if i =='base' or i=='backward_k' or i=='forward_k': + return 1.0*m.ua_init + elif i is 'forward_ua': + return (1.0 + m.eps)*m.ua_init + elif i is 'backward_ua': + return (1.0 - m.eps)*m.ua_init + + if not m.est_ua: + # W/m3/K, value 0.2839 from [Dowling, 2012] + # Estimated value 1.4E7 W/m3/K (DOE run2) + # 1.4E4 kW/m3/K --> 1.4E1 W/cm3/K + if m.doe_model: + m.ua = Var(m.perturb, bounds=(1, 1.0E8)) + m.ua.fix(m.ua_init) + elif m.k_aug: + m.ua = Var(initialize=m.ua_init) + #m.ua.setlb(m.ua_init) + #m.ua.setub(m.ua_init) + else: + m.ua = Expression(m.perturb, rule=perturbations_ua) + else: + m.ua = Var(initialize=m.ua_init,bounds=(5, 12)) + #m.ua = Var(initialize=m.ua_init, bounds=(10,20)) + + # define inv_k_oc, inv_k_op according to perturbation + def inv_k_oc_init_en(m, j, z, t): + ''' + Calculating 1/k_oc in [1/s] + ''' + return m.fitted_transport_coefficient[j]+1/(K_c0*exp(-E_c/(RPV*m.temp[j,z,t]) + E_c/(RPV*T0))) + + def inv_k_op_init_en(m, j, z, t): + ''' + Calculating 1/k_op in [1/s] + ''' + return m.fitted_transport_coefficient[j]+1/(K_p0*exp(-E_p/(RPV*m.temp[j,z,t]) + E_p/(RPV*T0))) + + # For square problem/optimization problem, parameter, k_oc/p are parameters + if (not m.est_tr) and (not m.k_aug): + m.inv_K_oc = Expression(m.perturb, m.zgrid, m.t, rule=inv_k_oc_init_en) + m.inv_K_op = Expression(m.perturb, m.zgrid, m.t, rule=inv_k_op_init_en) + + # If not square problem, k_oc/p are defined as parameters variable with temperature, defined in add_model() + + # J/mol/K + def cpg_rule(m,j,i,z,t): + ''' + Give Cpg in [J/mol/K] + ''' + trans_t = m.temp[j,z,t]*0.001 + if i=='N2': + return 29 + 1.85*trans_t - 9.65*trans_t**2 + 16.64*trans_t**3 + 0.000117/trans_t/trans_t + elif i=='CO2': + return 25 + 55.19*trans_t - 33.69*trans_t**2 + 7.95*trans_t**3 -0.1366/trans_t/trans_t + m.cpg = Expression(m.perturb, m.COMPS, m.zgrid, m.t, rule=cpg_rule) + + + def h_rule(m,j,i,z,t): + ''' + Calculate the flow heat based on the bed temperature. The reference temperature is 298.15K + h in [J/mol] + ''' + if i=='N2': + return 29*(m.temp[j,z,t] - temp_base) + 1.85E-3/2*(m.temp[j,z,t]**2-temp_base**2) - 9.65E-6/3*(m.temp[j,z,t]**3-temp_base**3) + 16.64E-9/4*(m.temp[j,z,t]**4 - temp_base**4) -117/m.temp[j,z,t] + 117/temp_base + elif i=='CO2': + return 25*(m.temp[j,z,t] - temp_base) + 55.19E-3/2*(m.temp[j,z,t]**2-temp_base**2) - 33.69E-6/3*(m.temp[j,z,t]**3 - temp_base**3) + 7.95E-9/4*(m.temp[j,z,t]**4 - temp_base**4) +136638/m.temp[j,z,t] - 136638/temp_base + + m.h = Expression(m.perturb, m.COMPS, m.zgrid, m.t, rule=h_rule) + + # Feed heat at the feed temperature [W/m2/K] + def h_feed_rule(m,i): + ''' + Calculating feed heat based on the inlet temperature. The reference temperature is 298.15K + h in [J/mol] + ''' + if i=='N2': + return 29*(m.temp_orig-temp_base) + 1.85E-3/2*(m.temp_orig**2-temp_base**2) - 9.65E-6/3*(m.temp_orig**3-temp_base**3) + 16.64E-9/4*(m.temp_orig**4-temp_base**4) -117/m.temp_orig + 117/temp_base + elif i=='CO2': + return 25*(m.temp_orig-temp_base) + 55.19E-3/2*(m.temp_orig**2 - temp_base**2) - 33.69E-6/3*(m.temp_orig**3 - temp_base**3) + 7.95E-9/4*(m.temp_orig**4 - temp_base**4) +136638/m.temp_orig - 136638/temp_base + + m.h_feed = Expression(m.COMPS, rule=h_feed_rule) + + # Adsorption heat, -65 kJ/mol + m.H_ads = Param(m.SCOMPS, initialize={'CO2': -65.0}) + + + if m.isotherm: + + # Surface partial pressure, [bar] + m.spp = Var(m.perturb, m.SCOMPS, m.zgrid, m.t, initialize=small_initial, bounds=surface_partial_pressure_bounds_pert) + + # Chemical adsorption equilibrium, [mol / kg] + m.nchemstar = Var(m.perturb, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=chem_star_bounds_pert) + + # Chemical adsorption equilibrium, modified [mol / kg] + m.nchemstar_mod = Var(m.perturb, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=chem_star_bounds_pert) + + # Physical adsorption equilibrium, [mol / kg] + m.nphysstar = Var(m.perturb, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=phys_star_bounds_pert) + + # Physical adsorption equilibrium with linear region [mol/kg] + m.nphysstar_mod = Var(m.perturb, m.SCOMPS, m.zgrid, m.t, initialize =small_initial, bounds=phys_star_bounds_pert) + + # alpha used to form linearized pressure + if alpha_variable: + m.alpha = Var(m.perturb, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=(small_bound,1.0)) + + if m.chemsorb: + + # Chemical adsorption loading, [mol of gas/ kg of sorbent] + m.nchem = Var(m.perturb, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=chem_star_bounds_pert) + + # Time derivative, [mol/kg/s] + if dynamic: + m.dnchemdt = DerivativeVar(m.nchem, wrt=m.t) + else: + m.dnchemdt = Var(m.perturb, m.SCOMPS, m.zgrid, m.t, initialize = small_initial) + + if m.physsorb: + # Physical adsorption equilibrium loading, [mol of gas/kg of sorbent] + m.nphys = Var(m.perturb, m.SCOMPS, m.zgrid, m.t, initialize = small_initial, bounds=phys_star_bounds_pert) + + # Time derivative, [mol/kg/s] + if dynamic: + m.dnphysdt = DerivativeVar(m.nphys, wrt=m.t) + else: + m.dnphysdt = Var(m.perturb, m.SCOMPS, m.zgrid, m.t, initialize = small_initial) + + + m.dv = Set(initialize=['k', 'ua']) + + if m.energy: + def b_a_en(m,j,z,t): + return b_a0*exp(Q_sta/(RPV*T0)*(T0/m.temp[j,z,t]-1)) + # Eq 14 in Aug. 2018 WVU report + # LHS: [1/bar] + # RHS: [1/bar] * exp( [kJ/mol]/[kJ/mol/K * K] ) = [1/b] * exp( [ dimensionless ] ) + m.b_a = Expression(m.perturb, m.zgrid, m.t, rule=b_a_en) + + # Eq 15 in Aug. 2018 WVU report + # LHS: dimensionless + # RHS: dimensionless * exp( [kJ/mol]/[kJ/mol/K * K] ) = [dimensionless] * exp( [ dimensionless ]) + def n_a_en(m,j,z,t): + return n_a1*exp(E_na/(RPV*T0)*(T0/m.temp[j,z,t]-1) + small_bound) + m.n_a = Expression(m.perturb, m.zgrid, m.t, rule=n_a_en) + + def inv_n_a_en(m,j,z,t): + return 1/m.n_a[j,z,t] + m.inv_n_a = Expression(m.perturb, m.zgrid, m.t, rule=inv_n_a_en) + + # Eq 13 in Aug. 2018 WVU report + # LHS: dimensionless + # RHS: dimensionless + K/K + def k_eq_en(m,j,z,t): + return exp(Ka + Kb/m.temp[j,z,t] + small_bound) + m.K_eq = Expression(m.perturb, m.zgrid, m.t, rule=k_eq_en) + + ### Physical adsorption isotherm + # Eq 14 in Aug. 2018 WVU report + # LHS: bar-1 + # RHS: bar-1 * (kJ/mol)/(kJ/mol/K * K) + def b_b_en(m,j,z,t): + return b_b0*exp(Q_stb/(RPV*T0)*(T0/m.temp[j,z,t]-1) + small_bound) + m.b_b = Expression(m.perturb, m.zgrid, m.t, rule=b_b_en) + + + # Eq 16 in Aug. 2018 WVU report + # LHS: mol/kg + # RHS: mol/kg * 1 + def nmax_p_en(m,j,z,t): + return nmax_p1*(exp(Kc+Kd/m.temp[j,z,t] + small_bound)/(1+exp(Kc+Kd/m.temp[j,z,t] + small_bound))) + m.nmax_p = Expression(m.perturb, m.zgrid, m.t, rule=nmax_p_en) + + # Eq 12 in Aug. 2018 WVU report + # LHS: mol/kg + # RHS: mol/kg * 1 / 1 = mol/kg + def nmax_c_en(m,j,z,t): + return n_max*m.K_eq[j,z,t]/(1+m.K_eq[j,z,t]) + m.nmax_c = Expression(m.perturb, m.zgrid, m.t, rule=nmax_c_en) + + # Linear pressure adsorption when P < Plinear + # According to ACM + # LHS: mol/kg + # RHS: mol/kg * ((1/bar * bar )/ (bar^-1 * 10bar)) + def nplin_en(m,j,z,t): + nplin_num = (m.b_a[j,z,t]*plin)**(m.inv_n_a[j,z,t]) + nplin_de = 1+(m.b_a[j,z,t]*plin)**(m.inv_n_a[j,z,t]) + return m.nmax_c[j,z,t]*(nplin_num/nplin_de) + + m.nplin = Expression(m.perturb, m.zgrid, m.t, rule=nplin_en) + +### DEFINE EQUATION FUNCTION + +def gas_comp_mb(m, j, i, z, t): + ''' + Calculate bulk gas phase species balances with Eq 1 in Aug. report, (Dowling, 2012) and ACM code. + Used when diffusion is not considered. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: ODE for calculating component species density + ''' + + # Eq 1 in Aug.report + # LHS: mol/m3/s + # RHS: (cm/s * mol/m3 / (100cm/m) - cm/s * mol/m3 / (100cm/m))/m = mol/m3/s + if z == 0: + dvCdz = (m.v[j,z,t]*0.01*m.C[j,i,z,t] - vel_f*0.01*m.totden_f*m.yfeed[i])/dz + else: + dvCdz = (m.v[j,z,t]*0.01*m.C[j,i,z,t] - m.v[j,z-1,t]*0.01*m.C[j,i,z-1,t])/dz + + diff_term = 0 + # LDF from ACM code + if i in m.SCOMPS: + if m.chemsorb: + diff_term += (1-ads_epsb)*(den_s)*m.dnchemdt[j, i, z, t] + + if m.physsorb: + diff_term += (1-ads_epsb)*(den_s)*m.dnphysdt[j, i, z, t] + + disp_term = 0 + if m.dispersion: + # LHS: mol/m3/s + # RHS: m2/s * mol/m3/m2 + # combine the two gas mas balances, so it can be toggled on and off + if z == 0: + disp_term = Dax[i] * (m.C[j,i,z+2,t]-2*m.C[j,i,z+1,t]+m.C[j,i,z,t])/(dz*dz) + elif z == 19: + disp_term = Dax[i] * (m.C[j,i,z,t]-2*m.C[j,i,z-1,t]+m.C[j,i,z-2,t])/(dz*dz) + else: + disp_term = Dax[i] * (m.C[j,i,z+1,t]-2*m.C[j,i,z,t]+m.C[j,i,z-1,t])/(dz*dz) + # LHS: mol/m3/s; # RHS: mol/m3/s - mol/m3/s + return m.dCdt[j,i,z,t] == -dvCdz / (ads_epsb) - diff_term/ (ads_epsb) - disp_term + + +def gas_comp_mb_doe(m, j, i, z, t): + ''' + Calculate bulk gas phase species balances with Eq 1 in Aug. report, (Dowling, 2012) and ACM code. + Used when diffusion is not considered. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: ODE for calculating component species density + ''' + + # Eq 1 in Aug.report + # LHS: mol/m3/s + # RHS: (cm/s * mol/m3 / (100cm/m) - cm/s * mol/m3 / (100cm/m))/m = mol/m3/s + if z == 0: + if i=='CO2': + dvCdz = (m.v[j,z,t]*0.01*m.C[j,i,z,t] - vel_f*0.01*m.totden_f*m.yfeed)/dz + elif i=='N2': + dvCdz = (m.v[j,z,t]*0.01*m.C[j,i,z,t] - vel_f*0.01*m.totden_f*(1-m.yfeed))/dz + + else: + dvCdz = (m.v[j,z,t]*0.01*m.C[j,i,z,t] - m.v[j,z-1,t]*0.01*m.C[j,i,z-1,t])/dz + + diff_term = 0 + # LDF from ACM code + if i in m.SCOMPS: + if m.chemsorb: + diff_term += (1-ads_epsb)*(den_s)*m.dnchemdt[j, i, z, t] + + if m.physsorb: + diff_term += (1-ads_epsb)*(den_s)*m.dnphysdt[j, i, z, t] + + disp_term = 0 + if m.dispersion: + # LHS: mol/m3/s + # RHS: m2/s * mol/m3/m2 + # combine the two gas mas balances, so it can be toggled on and off + if z == 0: + disp_term = Dax[i] * (m.C[j,i,z+2,t]-2*m.C[j,i,z+1,t]+m.C[j,i,z,t])/(dz*dz) + else: + disp_term = Dax[i] * (m.C[j,i,z+1,t]-2*m.C[j,i,z,t]+m.C[j,i,z-1,t])/(dz*dz) + # LHS: mol/m3/s; # RHS: mol/m3/s - mol/m3/s + return m.dCdt[j,i,z,t] == -dvCdz / (ads_epsb) - diff_term/ (ads_epsb) - disp_term + + + +def energy_balance(m, j, z, t): + ''' + Energy balance assuming Tambient = Twall, Tg=Ts + Equation from [Dowling, 2012] + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: ODE for calculating component species density + + ''' + # calculate sum(ci*cpg) + # mol/m3 * J/mol/K = J/m3/K + sum_c = sum(m.C[j,i,z,t]*m.cpg[j,i,z,t] for i in m.COMPS) + + # calculate the coefficient of dT/dt + # J/m3/K + kg/m3 * J/kg/K = J/m3/K + dividant = ads_epsb*sum_c + den_b*cps + + # calculate the sum of Hi*dni/dt + # kJ/mol * mol/kg/s = kJ/kg/s + sum_hdn = sum(-m.H_ads[a]*(m.dnchemdt[j,a,z,t]+m.dnphysdt[j,a,z,t]) for a in m.SCOMPS) + + # sum of heat flow, [J/m3] + # RHS: mol/m3 * J/mol = J/m3 + h_sum = sum(m.C[j,b,z,t]*m.h[j,b,z,t] for b in m.COMPS) + + # heat flow feed, [J/m3] + h_sum_feed = sum(m.den_f[p]*m.h_feed[p] for p in m.COMPS) + + # LHS: W/m3 = J/s/m3 + # RHS: cm/s * 1m/100cm * J/m3 * 1/m = J/s/m3 + if z==0: + duhdz = (m.v[j,z,t]*0.01*h_sum - vel_f*0.01*h_sum_feed)/dz + else: + # heat flow of the previous grid, [J/m3] + h_sum_back = sum(m.C[j,b,z-1,t]*m.h[j,b,z-1,t] for b in m.COMPS) + duhdz = (m.v[j,z,t]*0.01*h_sum - m.v[j,z-1,t]*0.01*h_sum_back)/dz + + # LHS: K/s + # RHS: (kg/m3 * kJ/kg/s * 1000J/1kJ - J/m3/s - J/s/m3/K *K)/ (J/m3/K) = K/s + #if m.temp_option==2: + # return m.dTdt[j,z,t] == (den_bed*sum_hdn*1000 - duhdz - exp(m.ua[j])*(m.temp[j,z,t]-m.temp_bath))/dividant + #elif m.temp_option==1: + if m.est_ua or m.k_aug: + return m.dTdt[j,z,t] == (den_b*sum_hdn*1000 - duhdz - exp(m.ua)*(m.temp[j,z,t]-m.temp_bath))/dividant + else: + return m.dTdt[j,z,t] == (den_b*sum_hdn*1000 - duhdz - exp(m.ua[j])*(m.temp[j,z,t]-m.temp_bath))/dividant + +def dalton(m, j, z, t): + ''' + Calculate total gas density from component gas densities. + No corresponding equation in Aug.report or ACM. + + Arguments: + m: model + j: model.perturb + z: model.zgrid + t: model.t + + Return: Total gas density + ''' + # LHS & RHS: [mol/m3] + return m.total_den[j,z,t] == sum(m.C[j,i,z,t] for i in m.COMPS) + + +def ideal(m,j, z, t): + ''' + Calculate total pressure from ideal gas law. + + Arguments: + m: model + j: model.perturb + z: model.zgrid + t: model.t + + Return: total gas pressure in the bulk phase + ''' + # LHS: mol/m3 * kJ/mol/K * K * 0.01 bar/kPa = kJ/m3 *100 kPa/bar = [bar] + # RHS: [bar] + if m.energy: + return m.total_den[j,z,t]*0.01 * RPV * m.temp[j,z,t] == m.P[j,z,t] + else: + return m.total_den[j,z,t]*0.01 * RPV * m.temp == m.P[j,z,t] + +def ergun(m, j, z, t): + ''' + Calculate velocity with Eq 6 in Aug. report. + Modified according to Ergun equation in (Dowling, 2012). + An assumption was made: velocity is always positive + + Arguments: + m: model + j: model.perturb + z: model.zgrid + t: model.t + + Return: an ODE for velocity + ''' + # LHS: kg/m4 + # RHS: mol/m3*g/mol / m /(1000g/kg) = g/m4 / (1000g/kg) = kg/m4 + + mass_den=sum(m.C[j,i,z,t]*MW[i] for i in m.COMPS) + + aeff = 1.75*mass_den*(1-ads_epsb)/(2*radp*ads_epsb*ads_epsb*ads_epsb)/1000 + + # LHS: kg/m3/s + # RHS: [Pa*s]/[m^2] = [kg/m/s]/[m^2] = kg / m^3 / s + beff = 150*fp_mu*(1-ads_epsb)*(1-ads_epsb)/(4*radp*radp*ads_epsb*ads_epsb*ads_epsb) + + if z == 0: + dPdz = (m.P[j,z,t] - totp_f) / dz + else: + dPdz = (m.P[j,z,t] - m.P[j,z-1,t]) / dz + + # Assumption: velocity is always positive + # LHS: [bar/m] + # RHS: [kg/m^4] * ([cm/s]*0.01m/cm)^2 + [kg / m^3 / s] * [cm/s*0.01m/cm] = [kg / m^2 / s^2] = [Pa/m] / (1E5Pa/bar) + return -dPdz == (aeff*(m.v[j,z,t]*0.01)**2 + beff*m.v[j,z,t]*0.01)/1.0E5 + +''' +def kf_calc(m,j,z,t): + + Calculate the k_f with the dimensionless number equations. + Not used for now. + + # RHS: m*m/s*kg/mol*mol/m3*m*s/kg = 1 + Re = 2*radp*m.v[j,z,t]*0.01*M_co2*m.C[j,'CO2',z,t]/mu_co2 + # RHS: kg/m/s * s/m2 * m3/mol * mol/kg = 1 + Sc = mu_co2/D_m/m.C[j,'CO2',z,t]/M_co2 + return 2*radp*m.kfilm[j,z,t]/D_m == 2+1.1*Re**(0.6)*Sc**(1/3) +''' + +def calc_surface_pressure(m, j, i, z, t): + ''' + Calculate surface partial pressure in solid phase (particle void) according to ACM code. + For now, surface partial pressure is not bulk gas pressure. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: surface partial pressure + ''' + if m.energy: + return m.spp[j,i,z,t] == RPV*m.temp[j,z,t]*0.01*m.C[j,i,z,t] + else: + return m.spp[j,i,z,t] == RPV*m.temp*0.01*m.C[j,i,z,t] + +def chem_isotherm(m, j, i, z, t): + ''' + Calculate chemical equilibrium adsorption with Eq 11, WVU Aug.report. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: chemical equilibrium adsorption + ''' + # Eq.11 in Aug.report + if m.energy: + nchem_num = (m.b_a[j,z,t]*m.spp[j,i,z,t])**(m.inv_n_a[j,z,t]) + nchem_de = 1+(m.b_a[j,z,t]*m.spp[j,i,z,t])**(m.inv_n_a[j,z,t]) + # LHS: unit of m.nchemstar = unit of nmax_c = mmol/g = mol/kg + return m.nchemstar[j,i,z,t]*nchem_de == m.nmax_c[j,z,t]*nchem_num + else: + inv_n_a = 1/m.n_a + nchem_num = (m.b_a*m.spp[j,i,z,t])**(inv_n_a) + nchem_de = 1+(m.b_a*m.spp[j,i,z,t])**(inv_n_a) + # LHS: unit of m.nchemstar = unit of nmax_c = mmol/g = mol/kg + return m.nchemstar[j,i,z,t]*nchem_de == m.nmax_c*nchem_num + +def chem_isotherm_mod(m, j, i, z, t): + ''' + Calculate MODIFIED chemical equilibrium adsorption + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: chemical equilibrium adsorption + ''' + # RHS: [mol/kg] * [bar]/[bar] + [mol/kg] + # LHS: [mol/kg] + if m.energy: + return m.nchemstar_mod[j,i,z,t] == m.alpha[j,i,z,t] * m.nplin[j,z,t] *m.spp[j,i,z,t]/plin + (1-m.alpha[j,i,z,t])*m.nchemstar[j,i,z,t] + else: + return m.nchemstar_mod[j,i,z,t] == m.alpha[j,i,z,t] * m.nplin*m.spp[j,i,z,t]/plin + (1-m.alpha[j,i,z,t])*m.nchemstar[j,i,z,t] + + +def phys_isotherm(m, j, i, z, t): + ''' + Calculate physical equilibrium adsorption with Eq 11, WVU Aug.report. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: physical equilibrium adsorption + ''' + n_b = 1.46 + inv_n_b = 1/n_b + if m.energy: + nphys_num = (m.b_b[j,z,t]*m.spp[j,i,z,t])**(inv_n_b) + nphys_de = 1+(m.b_b[j,z,t]*m.spp[j,i,z,t])**(inv_n_b) + return m.nphysstar[j, i, z, t]*nphys_de == m.nmax_p[j,z,t]*nphys_num + else: + nphys_num = (m.b_b*m.spp[j,i,z,t])**(inv_n_b) + nphys_de = 1+(m.b_b*m.spp[j,i,z,t])**(inv_n_b) + # LHS: unit of m.nchemstar = unit of nmax_c = mmol/g = mol/kg + return m.nphysstar[j, i, z, t]*nphys_de == m.nmax_p*nphys_num + + +def phys_isotherm_mod(m, i, z, t): + ''' + Calculate MODIFIED chemical equilibrium adsorption + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: chemical equilibrium adsorption + ''' + # RHS: [mol/kg] * [bar]/[bar] + [mol/kg] + # LHS: [mol/kg] + if m.energy: + return m.nphysstar_mod[j,i,z,t] == m.alpha[j,i,z,t] * m.nplin[j,z,t]*m.spp[j,i,z,t]/plin + (1-m.alpha[j,i,z,t])*m.nphysstar[j,i,z,t] + else: + return m.nphysstar_mod[j,i,z,t] == m.alpha[j,i,z,t] * m.nplin*m.spp[j,i,z,t]/plin + (1-m.alpha[j,i,z,t])*m.nphysstar[j,i,z,t] + + +def alpha_calc(m, j, i, z, t): + ''' + calculate alpha + ''' + # Pressure difference + + # [??-bar] = alpha_scale [??bar / bar] * ([bar] - [MPa]*10bar/MPa) + + # LHS: [bar] + # RHS: [bar - bar] + pres_dif = alpha_scale*(m.spp[j, i, z, t] - plin) + + # alpha is a variable and will be calculated with a constraint + if alpha_variable: + + if alpha_option == 1: + return (2*m.alpha[j,i,z,t] - 1)*sqrt(eps_alpha + pres_dif*pres_dif) == -pres_dif + elif alpha_option == 2: + return (1 - m.alpha[j,i,z,t])*(1 + exp(-pres_dif + small_bound)) == 1 + elif alpha_option == 3: + return m.alpha[j,i,z,t] == 0.0 + elif alpha_option == 4: + return m.alpha[j,i,z,t] == 1.0 + else: + return Constraint.Skip + + # alpha is an expression + else: + if alpha_option == 1: + return 0.5*(1-pres_dif/sqrt(eps_alpha+pres_dif*pres_dif)) + elif alpha_option == 2: + return 1 - 1 /(1 + exp(-pres_dif + small_bound)) + elif alpha_option == 3: + return 0.0 + elif alpha_option == 4: + return 1.0 + else: + return Constraint.Skip + + +def chem_adsorb(m, j, i, z, t): + ''' + Calculate chemical adsorption kinetics according to ACM code. + Include a linear pressure part when P<0.3bar. + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: an ODE for chemical adsorption amount [kmol/kg sorbent] + ''' + # For parameter estimation, no perturbation index for inv_K_oc + if m.est_tr or m.k_aug: + if m.energy: + return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j,z,t])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) + else: + return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j,z,t])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) + # For DoE, inv_K_oc is indexed with perturbation + else: + if m.energy: + return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j,z,t])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) + else: + return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) + +def phys_adsorb_nonlinear(m, j, i, z, t): + ''' + Calculate chemical adsorption kinetics without linear pressure part + ''' + if m.est_tr or m.k_aug: + #if m.energy: + # return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j,z,t])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) + #else: + return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j,z,t])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) + else: + if m.energy: + return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j,z,t])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) + else: + return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) + +def kinetics_para_express(m,j,z,t): + ''' + Calculate inv_K_oc with Eq 8, WVU Aug.report. + Used when transport_coefficient is estimated + + Arguments: + m: model + i: model.SCOMPS + + Return: expression for inv_K_oc[i] + ''' + # LHS: s; # RHS: (m*m/(1*m*m/s)) + 1/(1/s * 1) + if m.energy: + return m.fitted_transport_coefficient + 1/(K_c0*exp(-E_c/(RPV*m.temp[j,z,t]) + E_c/(RPV*T0) + small_bound)) + else: + return m.fitted_transport_coefficient + 1/(K_c0*exp(-E_c/(RPV*m.temp) + E_c/(RPV*T0) + small_bound)) + + +def kinetics_para2_express(m,j,z,t): + ''' + Calculate inv_K_op with Eq 8, WVU Aug.report. + Used when estimating transport coefficient + + Arguments: + m: model + i: model.SCOMPS + + Return: expression for inv_K_op[i] + ''' + # LHS: s; # RHS: (m*m/(1*m*m/s)) + 1/(1/s * 1) + if m.energy: + return m.fitted_transport_coefficient + 1/(K_p0*exp(-E_p/(RPV*m.temp[j,z,t]) + E_p/(RPV*T0)+ small_bound)) + else: + return m.fitted_transport_coefficient + 1/(K_p0*exp(-E_p/(RPV*m.temp) + E_p/(RPV*T0)+ small_bound)) + +# add an expression to calculate the Jacobian elements +def FCO2_calc(m,j,z,t): + '''Calculate FCO2 in mmol/min + ''' + return m.C[j,'CO2',z,t]*m.v[j,z,t]*3.1415926*rbed*rbed*600 + +def jac_ele_exp(m,t): + '''[Out-of-dated]Calculate the Jacobian elements when only one parameter of k + ''' + p = [] + for posi in m.zgrid: + p.append(posi) + + if m.diff ==1: + return (m.FCO2['forward_k',p[-1],t] - m.FCO2['base',p[-1],t])/m.eps/m.para + elif m.diff == -1: + return (m.FCO2['base',p[-1],t] - m.FCO2['backward_k',p[-1],t])/m.eps/m.para + elif m.diff == 2: + return (m.FCO2['forward_k',p[-1],t] - m.FCO2['backward_k',p[-1], t])/2/m.eps/m.para + +def jac_ele(m,dv,t): + ''' + Calculate the Jacobian elements + Arguments: + dv: the design variables, k for k_trans, ua for UA + t: timepoints + Return: + jac['k',t] is the Jacobian of k_trans, jac['ua', t] is the Jacobian of UA + ''' + p = [] + for posi in m.zgrid: + p.append(posi) + + if m.diff ==1: + if dv=='k': + return (m.FCO2['forward_k', p[-1], t] - m.FCO2['base',p[-1],t])/m.eps/m.para + elif dv=='ua': + return (m.FCO2['forward_ua',p[-1],t] - m.FCO2['base',p[-1],t])/m.eps/m.ua_init + elif m.diff==-1: + if dv=='k': + return (m.FCO2['base',p[-1], t] - m.FCO2['backward_k',p[-1],t])/m.eps/m.para + elif dv=='ua': + return (m.FCO2['base',p[-1],t] - m.FCO2['backward_ua',p[-1],t])/m.eps/m.ua_init + elif m.diff==2: + if dv=='k': + return (m.FCO2['forward_k', p[-1],t] - m.FCO2['backward_k',p[-1],t])/m.eps/m.para/2 + elif dv=='ua': + return (m.FCO2['forward_ua',p[-1],t] - m.FCO2['backward_ua',p[-1],t])/m.eps/m.ua_init/2 + +def jac_Tend_ele(m,dv,t): + ''' + Calculate the Jacobian elements + Arguments: + dv: the design variables, k for k_trans, ua for UA + t: timepoints + Return: + jac['k',t] is the Jacobian of k_trans, jac['ua', t] is the Jacobian of UA + ''' + p = [] + for posi in m.zgrid: + p.append(posi) + + if m.diff ==1: + if dv=='k': + return (m.temp['forward_k', p[-1], t] - m.temp['base',p[-1],t])/m.eps/m.para + elif dv=='ua': + return (m.temp['forward_ua',p[-1],t] - m.temp['base',p[-1],t])/m.eps/m.ua_init + elif m.diff==-1: + if dv=='k': + return (m.temp['base',p[-1], t] - m.temp['backward_k',p[-1],t])/m.eps/m.para + elif dv=='ua': + return (m.temp['base',p[-1],t] - m.temp['backward_ua',p[-1],t])/m.eps/m.ua_init + elif m.diff==2: + if dv=='k': + return (m.temp['forward_k', p[-1],t] - m.temp['backward_k',p[-1],t])/m.eps/m.para/2 + elif dv=='ua': + return (m.temp['forward_ua',p[-1],t] - m.temp['backward_ua',p[-1],t])/m.eps/m.ua_init/2 + + +def feed_rule(m): + '''The inlet mole fraction should add up to 1. Applied for continuous optimization problem + ''' + return sum(m.yfeed[i] for i in m.COMPS) == 1 + + +def ObjRule_opt_k(m): + '''objective function for the continuous DoE problem + ''' + objfunc = -sum(m.jac['k', t]**2 for t in m.t) + return objfunc + +def ObjRule_A(m): + + fim00 = sum(m.jac['k',t]**2 for t in m.t) + sum(m.jac_tend['k',t]**2 for t in m.t) + #fim01 = sum(m.jac['k',p[-1],t]*m.jac['ua',t] for t in m.t) + fim11 = sum(m.jac['ua',t]**2 for t in m.t) +sum(m.jac_tend['ua',t]**2 for t in m.t) + # use -trace for minimize, to maximize trace + trace = -fim00 - fim11 + return trace + +def ObjRule_D(m): + fim00 = sum(m.jac['k',t]**2 for t in m.t)+ sum(m.jac_tend['k',t]**2 for t in m.t) + fim01 = sum(m.jac['k',t]*m.jac['ua',t] for t in m.t) + sum(m.jac_tend['k',t]*m.jac_tend['ua',t] for t in m.t) + fim11 = sum(m.jac['ua',t]**2 for t in m.t)+sum(m.jac_tend['ua',t]**2 for t in m.t) + # use -det for minimize, to maximize det + det = fim01**2 - fim00*fim11 + return det + +def ObjRule_con(m): + '''objective function for the brute force DoE problem/square problem + ''' + return 0 + +''' +Adsorption isotherm calculation +Note: With constant temperature, many of the isotherm intermediates are CONSTANT +''' + +def add_equations(mod): + ''' + Adds equations to the Pyomo model using the already specified toggles. + + Arguments: + mod: the model defined + + Return: the model with equations added + + ''' + + + # If not, the objective function will be added in the notebook + + mod.dalton_law = Constraint(mod.perturb, mod.zgrid, mod.t, rule=dalton) + + mod.ideal_gas_law = Constraint(mod.perturb, mod.zgrid, mod.t, rule=ideal) + + # measurements + if not mod.k_aug: + mod.FCO2 = Expression(mod.perturb, mod.zgrid, mod.t, rule=FCO2_calc) + + + if mod.opt and mod.conti: + + mod.jac = Expression(mod.dv, mod.t, rule=jac_ele) + + + # add an expression to calculate the Jacobian elements + if mod.energy: + mod.jac_tend = Expression(mod.dv, mod.t, rule=jac_Tend_ele) + if mod.optimize_trace: + mod.obj = Objective(rule=ObjRule_A, sense=minimize) + else: + mod.obj = Objective(rule=ObjRule_D, sense=minimize) + else: + mod.obj = Objective(rule=ObjRule_opt_k, sense=minimize) + + + mod.feed_law = Constraint(rule=feed_rule) + + + if not mod.fix_pres: + if not mod.v_fix: + mod.ergun_equation = Constraint(mod.perturb, mod.zgrid, mod.t, rule=ergun) + + if mod.doe_model: + mod.gas_mass_balance = Constraint(mod.perturb, mod.COMPS, mod.zgrid, mod.t, rule = gas_comp_mb_doe) + else: + mod.gas_mass_balance = Constraint(mod.perturb, mod.COMPS, mod.zgrid, mod.t, rule = gas_comp_mb) + + if mod.energy: + mod.energy_balance_law = Constraint(mod.perturb, mod.zgrid, mod.t, rule = energy_balance) + + if mod.isotherm: + mod.partial_pressure = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=calc_surface_pressure) + mod.chemical_isotherm = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_isotherm) + mod.physical_isotherm = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=phys_isotherm) + + if alpha_variable: + mod.alpha_constraint = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=alpha_calc) + else: + mod.alpha = Expression(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=alpha_calc) + + if mod.est_tr or mod.k_aug: + mod.inv_K_oc = Expression(mod.perturb, mod.zgrid, mod.t, rule=kinetics_para_express) + mod.inv_K_op = Expression(mod.perturb, mod.zgrid, mod.t, rule=kinetics_para2_express) + + if mod.physsorb: + mod.physical_adsorption = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=phys_adsorb_nonlinear) + + if mod.chemsorb: + mod.chemical_isotherm_mod = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_isotherm_mod) + mod.chemical_adsorption = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_adsorb) + + + +def extract_fixed(m, measure_temp=False): + measurement=[] + for t in m.t: + measurement.append(value(m.FCO2['base', 19,t])) + if measure_temp: + for t in m.t: + measurement.append(value(m.temp['base', 10, t])) + for t in m.t: + measurement.append(value(m.temp['base', 19, t])) + return measurement + +def fix_initial_bed(m, v_init=2.0): + ''' + Initialize the bed. + Make component density and phys/chem adsorption all over the bed at time0 to be 0.0. + ''' + for j in m.perturb: + for z in m.zgrid: + m.C[j,'CO2',z, m.t0].fix(small_initial) + m.v[j,z,m.t0].fix(v_init) + + if m.energy: + m.temp[j,z,m.t0].fix(value(m.temp_bath)) + + if m.chemsorb: + m.nchem[j,'CO2',z,m.t0].fix(small_initial) + + if m.physsorb: + m.nphys[j,'CO2',z,m.t0].fix(small_initial) + + +def extract2d(m, var): + ''' + Extract values for 2D variable + + Args: + m - Pyomo model + var - Pyomo Variable + + Returns: + D - 2D numpy array with values + + Assumptions: + * First variable index is grid position + * Second variable index is time position + ''' + # Extract length of two dimensions + Ngrid = len(m.zgrid) + NFEt = len(m.t) - 1 + + # Create numpy array of zeros + D1 = np.zeros((Ngrid,NFEt+1)) + D2 = np.zeros((Ngrid,NFEt+1)) + D3 = np.zeros((Ngrid,NFEt+1)) + D4 = np.zeros((Ngrid,NFEt+1)) + + # Loop over time and space, extract values from Pyomo variable + for i,t in enumerate(m.t): + for j,z in enumerate(m.zgrid): + if m.diff == 0: + D1[j,i] = value(var['base',z,t]) + elif m.diff == 1: + D1[j,i] = value(var['base',z,t]) + D2[j,i] = value(var['forward_k',z,t]) + D3[j,i] = value(var['forward_ua',z,t]) + elif m.diff == -1: + D1[j,i] = value(var['base',z,t]) + D2[j,i] = value(var['backward_k',z,t]) + D3[j,i] = value(var['backward_ua',z,t]) + elif m.diff == 2: + D1[j,i] = value(var['forward_k',z,t]) + D2[j,i] = value(var['forward_ua',z,t]) + D3[j,i] = value(var['backward_k',z,t]) + D4[j,i] = value(var['backward_ua',z,t]) + + return D1,D2,D3,D4 + +def extract3d(m, var, ind): + ''' + Extract values for 3D variable + + Args: + m - Pyomo model + var - Pyomo Variable + ind - Index for first dimension + + Returns: + D - 2D numpy array with values + + Assumptions: + * First variable index is grid position + * Second variable index is time position + ''' + # Extract length of two dimensions + Ngrid = len(m.zgrid) + NFEt = len(m.t) - 1 + + # Create numpy array of zeros + D1 = np.zeros((Ngrid,NFEt+1)) + D2 = np.zeros((Ngrid,NFEt+1)) + D3 = np.zeros((Ngrid,NFEt+1)) + D4 = np.zeros((Ngrid,NFEt+1)) + + # Loop over time and space, extract values from Pyomo variable + for i,t in enumerate(m.t): + for j,z in enumerate(m.zgrid): + if m.diff ==0: + D1[j,i] = value(var['base',ind,z,t]) + elif m.diff ==1: + D1[j,i] = value(var['base',ind,z,t]) + D2[j,i] = value(var['forward_k',ind,z,t]) + D3[j,i] = value(var['forward_ua',ind,z,t]) + elif m.diff ==-1: + D1[j,i] = value(var['base',ind,z,t]) + D2[j,i] = value(var['backward_k',ind,z,t]) + D3[j,i] = value(var['backward_ua',ind,z,t]) + elif m.diff ==2: + D1[j,i] = value(var['forward_k',ind,z,t]) + D2[j,i] = value(var['forward_ua',ind,z,t]) + D3[j,i] = value(var['backward_k',ind,z,t]) + D4[j,i] = value(var['backward_ua',ind,z,t]) + return D1,D2, D3, D4 + +def make_plots(m): + ''' + Make plots. + + Arguments: + m: the model + + return: None + + other: plots + ''' + + # Extract grid position values + Z = [] + for j in m.zgrid: + Z.append(value(j)) + + # Extract time values + T = [] + for j in m.t: + T.append(value(j)) + + # Visualize pressure + P1, P2 = extract2d(m, m.P) + if(len(T) > 1): + h = plt.contourf(T,Z,P1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Pressure [bar]') + else: + plt.plot(Z,P1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Pressure [bar]') + plt.show() + + if m.energy: + temp1, temp2 = extract2d(m,m.temp) + if(len(T) > 1): + h = plt.contourf(T,Z,temp1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Temperature [K]') + else: + plt.plot(Z,temp1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Temperature [K]') + plt.show() + + if m.isotherm: + SPP1, SPP2 = extract3d(m, m.spp, 'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,SPP1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Surface pressure [bar]') + else: + plt.plot(Z,SPP1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Surface pressure [bar]') + plt.show() + + # Visualize velocity + V1, V2 = extract2d(m, m.v) + if(len(T) > 1): + h = plt.contourf(T,Z,V1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Velocity [cm/s]') + else: + plt.plot(Z,V1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Velocity [cm/s]') + + plt.show() + + + # Visualize density + # for c in ['N2','CO2','He']: + for c in ['N2','CO2']: + den1, den2 = extract3d(m, m.C, c) + if(len(T) > 1): + h = plt.contourf(T,Z,den1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title(c +' Density [mol/m$^3$]') + else: + plt.plot(Z,den1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel(c +' Density [mol/m$^3$]') + plt.show() + + if m.chemsorb: + + # Visualize isotherm + nchemstar1, nchemstar2 = extract3d(m, m.nchemstar,'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,nchemstar1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Isotherm [mol/kg]') + else: + plt.plot(Z,nchemstar1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Chemical Isotherm [mol/kg]') + plt.show() + + # Visualize loading + nchem1, nchem2 = extract3d(m, m.nchem,'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,nchem1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Loading [mol/kg]') + else: + plt.plot(Z,nchem2) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Chemical Loading [mol/kg]') + plt.show() + + if m.physsorb: + nphysstar1, nphysstar2 = extract3d(m, m.nphysstar,'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,nphysstar1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Isotherm [mol/kg]') + else: + plt.plot(Z,nphysstar1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Physical Isotherm [mol/kg]') + plt.show() + + nphys1, nphys2 = extract3d(m, m.nphys,'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,nphys1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Loading [mol/kg]') + else: + plt.plot(Z,nphys1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('Physical Loading [mol/kg]') + plt.show() + + alpha1, alpha2 = extract3d(m, m.alpha,'CO2') + if(len(T) > 1): + h = plt.contourf(T,Z,alpha1) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('alpha is modified isotherm [dimensionless]') + else: + plt.plot(Z,alpha1) + plt.xlabel('Bed Position [scaled]') + plt.ylabel('alpha is modified isotherm [dimensionless]') + plt.show() + + +### Functions that are no longer used +def init1D(dyn_var, t0_var,set1,T): + ''' + Initialize dynamic Pyomo model with steady-state solution + + Args: + dyn_var: variable in dynamic model + t0_var: variable in single timestep model (often initial condition) + set1: set to enumerate over + T: time set for dyn_var + + Returns: + Nothing + + Assumptions: + dyn_var and t0_var have the same indicies + time is the last index + + ''' + + for i in set1: + for t in T: + dyn_var[i,t] = value(t0_var[i,0]) + + +def custom_ipopt(): + ''' Return compiled version of Ipopt + + Arguments: + None + + Returns: + solver + + ''' + + import socket + name = socket.gethostname() + print(name) + + if name == "dowling.comsel.nd.edu": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/Users/adowling/src/CoinIpopt/build/bin/ipopt") + solver.options['linear_solver'] = "ma57" + elif name[0:7] == "Laptop5" or name[0:7] == "laptop5": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/Users/adowling/src/CoinIpopt/bin/ipopt") + solver.options['linear_solver'] = "ma57" + elif name == "luuyoyodeMacBook-Pro.local": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/usr/local/bin/ipopt") + solver.options['linear_solver'] = "ma57" + elif name == "luuyoyodembp.dhcp.nd.edu": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/usr/local/bin/ipopt") + solver.options['linear_solver'] = "ma57" + elif name== "wangjialudembp.dhcp.nd.edu": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/usr/local/bin/ipopt") + solver.options['linear_solver'] = "ma57" + elif name== "wangjialudeMacBook-Pro.local": + print("Loading custom Ipopt...") + solver = SolverFactory('ipopt',executable="/usr/local/bin/ipopt") + solver.options['linear_solver'] = "ma57" + else: + print("Loading default Ipopt.") + solver = SolverFactory('ipopt') + + return solver + +from pyomo.core.kernel.component_set import ComponentSet + +def large_residuals_set(block, tol=1e-5, LOUD=True): + """ + Method to return a ComponentSet of all Constraint components with a + residual greater than a given threshold which appear in a model. + Args: + block : model to be studied + tol : residual threshold for inclusion in ComponentSet + Returns: + A ComponentSet including all Constraint components with a residual + greater than tol which appear in block + """ + large_residuals_set = ComponentSet() + for c in block.component_data_objects( + ctype=Constraint, active=True, descend_into=True): + if c.active and value(c.lower - c.body()) > tol: + large_residuals_set.add(c) + elif c.active and value(c.body() - c.upper) > tol: + large_residuals_set.add(c) + + if LOUD: + print("All equality constraints with residuals larger than",tol) + for c in large_residuals_set: + print(c) + + return large_residuals_set + +def get_size_csv(store_): + ''' + Get size + ''' + + Z = np.unique(np.asarray(store_['position'])) + T = np.unique(np.asarray(store_['time'])) + + Ngrid = len(Z) + NFEt = len(T) - 1 + return Ngrid, NFEt + + + +def makeplot_csv(store_): + ''' + Make plot from results stored before + To make plots from .csv file in fixed_bed_init.ipynb: first run code before solver, then run this function + + Arguments: + store_: a single pandas dataframe + + Return: None + + Other: plots + ''' + # Extract variable values from dataframe + den_N2 = np.asarray(store_['den_N2']) + den_CO2 = np.asarray(store_['den_CO2']) + den_He = np.asarray(store_['den_He']) + vel_ = np.asarray(store_['vel']) + nchem_eq = np.asarray(store_['nchem_eq']) + nphys_eq = np.asarray(store_['nphys_eq']) + nchem = np.asarray(store_['nchem']) + nphys = np.asarray(store_['nphys']) + + Z = np.unique(np.asarray(store_['position'])) + T = np.unique(np.asarray(store_['time'])) + + Ngrid, NFEt = get_size_csv(store_) + + # Reshape the array into [# of grids, # of time nodes] + c_N2 = np.reshape(den_N2,(Ngrid,NFEt+1)) + c_CO2 = np.reshape(den_CO2,(Ngrid,NFEt+1)) + c_He = np.reshape(den_He,(Ngrid,NFEt+1)) + V = np.reshape(vel_,(Ngrid,NFEt+1)) + Nchem_e = np.reshape(nchem_eq,(Ngrid,NFEt+1)) + Nphys_e = np.reshape(nphys_eq,(Ngrid,NFEt+1)) + Nchem = np.reshape(nchem,(Ngrid,NFEt+1)) + Nphys = np.reshape(nphys,(Ngrid,NFEt+1)) + + # Meshgrid + x = np.array(range(NFEt+1)) + y = np.array(range(Ngrid)) + [X,Y] = np.meshgrid(x,y) + + z_N2 = c_N2 + z_CO2 = c_CO2 + z_He = c_He + z_vel = V + z_nce = Nchem_e + z_npe = Nphys_e + z_nc = Nchem + z_nph = Nphys + + # Visualize pressure + P = np.ones((NFEt,Ngrid)) + P = (z_N2 + z_CO2 + z_He) * RPV * temp + h = plt.contourf(X,Y,P) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Pressure [MPa]') + plt.show() + + + # Visualize velocity + h = plt.contourf(X,Y,z_vel) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Velocity [m/s]') + plt.show() + + # Visualize N2 density + h = plt.contourf(X,Y,z_N2) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('N2 Density [kmol/m$^3$]') + plt.show() + + # Visualize CO2 density + h = plt.contourf(X,Y,z_CO2) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('CO2 Density [kmol/m$^3$]') + plt.show() + + # Visualize He density + h = plt.contourf(X,Y,z_He) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('He Density [kmol/m$^3$]') + plt.show() + + # Visualize Chemical isotherm + h = plt.contourf(X,Y,z_nce) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Isotherm [mmol/g]') + plt.show() + + # Visualize physical isotherm + h = plt.contourf(X,Y,z_npe) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Isotherm [mmol/g]') + plt.show() + + # Visualize chemical loading + h = plt.contourf(X,Y,z_nc) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Loading [kmol/kg]') + plt.show() + + # Visualize physical loading + h = plt.contourf(X,Y,z_nph) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Loading [kmol/kg]') + plt.show() + + +def extract2(m): + ''' + Extract results from Pyomo model + + Arguments: + m: the model + + Return: a single pandas dataframe storing all results + ''' + nTime = len(m.t) + nGrid = len(m.zgrid) + n = nTime*nGrid + print (nTime) + print (n) + + ### Variables to be extracted + + # Two 3D variables, for COMPS(N2, CO2, He) + + C_N2_1, C_N2_2 = extract3d(m,m.C,'N2') + C_CO2_1, C_CO2_2 = extract3d(m,m.C,'CO2') + + C_N21 = np.reshape(C_N2_1, n) + C_CO21 = np.reshape(C_CO2_1, n) + + C_N22 = np.reshape(C_N2_2, n) + C_CO22 = np.reshape(C_CO2_2, n) + + dcdt_N2_1, dcdt_N2_2 = extract3d(m,m.dCdt,'N2') + dcdt_CO2_1, dcdt_CO2_2 = extract3d(m,m.dCdt,'CO2') + + dcdt_N21 = np.reshape(dcdt_N2_1,n) + dcdt_CO21 = np.reshape(dcdt_CO2_1,n) + + dcdt_N22 = np.reshape(dcdt_N2_2,n) + dcdt_CO22 = np.reshape(dcdt_CO2_2,n) + + # Three 2D variables + vel_1, vel_2 = extract2d(m, m.v) + + vel1 = np.reshape(vel_1, n) + vel2 = np.reshape(vel_2,n) + + P_1, P_2 = extract2d(m,m.P) + P1 = np.reshape(P_1,n) + P2 = np.reshape(P_2, n) + + total_den_1, total_den_2 = extract2d(m,m.total_den) + total_den1 = np.reshape(total_den_1, n) + total_den2 = np.reshape(total_den_2, n) + + if m.energy: + T_1, T_2 = extract2d(m,m.temp) + T1 = np.reshape(T_1, n) + T2 = np.reshape(T_2, n) + + dTdt_1, dTdt_2 = extract2d(m,m.dTdt) + dTdt1 = np.reshape(dTdt_1,n) + dTdt2 = np.reshape(dTdt_2,n) + + nplin_1, nplin_2 = extract2d(m, m.nplin) + nplin1 = np.reshape(nplin_1, n) + nplin2 = np.reshape(nplin_2, n) + + # Seven 3D variables, for SCOMPS(CO2) + if m.isotherm: + # Seven 3D variables, for SCOMPS(CO2) + spp_1, spp_2 = extract3d(m, m.spp, 'CO2') + + spp1 = np.reshape(spp_1,n) + spp2 = np.reshape(spp_2,n) + if m.chemsorb: + nchemstar_1, nchemstar_2 = extract3d(m, m.nchemstar,'CO2') + + nchemstar1 = np.reshape(nchemstar_1, n) + nchemstar2 = np.reshape(nchemstar_2, n) + + dnchemdt_1, dnchemdt_2 = extract3d(m, m.dnchemdt,'CO2') + dnchemdt1 = np.reshape(dnchemdt_1, n) + dnchemdt2 = np.reshape(dnchemdt_2, n) + + nchem_1, nchem_2 = extract3d(m, m.nchem,'CO2') + nchem1 = np.reshape(nchem_1, n) + nchem2 = np.reshape(nchem_2, n) + + if m.physsorb: + nphysstar_1, nphysstar_2 = extract3d(m, m.nphysstar,'CO2') + nphysstar1 = np.reshape(nphysstar_1, n) + nphysstar2 = np.reshape(nphysstar_2, n) + + dnphysdt_1, dnphysdt_2 = extract3d(m, m.dnphysdt,'CO2') + dnphysdt1 = np.reshape(dnphysdt_1, n) + dnphysdt2 = np.reshape(dnphysdt_2, n) + + nphys_1, nphys_2 = extract3d(m, m.nphys,'CO2') + nphys1 = np.reshape(nphys_1, n) + nphys2 = np.reshape(nphys_2, n) + + print(np.shape(nphys1)) + print(np.shape(nphys2)) + + + # Meshgrid + x = [] + for t in m.t: + x.append(value(t)) + + y = [] + for z in m.zgrid: + y.append(value(z)) + + + [X,Y] = np.meshgrid(x,y) + time = np.reshape(X,n) + space = np.reshape(Y,n) + + if m.chemsorb and m.physsorb: + if m.energy: + store = pd.DataFrame({'time': time, + 'position':space, + 'den_N2': C_N21, + 'den_CO2': C_CO21, + 'dcdt_N2':dcdt_N21, + 'dcdt_CO2':dcdt_CO21, + 'vel': vel1, + 'pressure':P1, + 'temp': T1, + 'dTdt': dTdt1, + 'nplin': nplin1, + 'total_den':total_den1, + 'solid_pres':spp1, + 'nchem_eq': nchemstar1, + 'nphys_eq': nphysstar1, + 'dndt_chem': dnchemdt1, + 'dndt_phys': dnphysdt1, + 'nchem': nchem1, + 'nphys':nphys1, + 'den_N2_u': C_N22, + 'den_CO2_u': C_CO22, + 'dcdt_N2_u':dcdt_N22, + 'dcdt_CO2_u':dcdt_CO22, + 'vel_u': vel2, + 'pressure_u':P2, + 'temp_u': T2, + 'total_den_u':total_den2, + 'solid_pres_u':spp2, + 'nchem_eq_u': nchemstar2, + 'nphys_eq_u': nphysstar2, + 'dndt_chem_u': dnchemdt2, + 'dndt_phys_u': dnphysdt2, + 'nchem_u': nchem2, + 'nphys_u': nphys2 + }) + + else: + # save the arrays into the data frame + store = pd.DataFrame({'time': time, + 'position':space, + 'den_N2': C_N21, + 'den_CO2': C_CO21, + 'dcdt_N2':dcdt_N21, + 'dcdt_CO2':dcdt_CO21, + 'vel': vel1, + 'pressure':P1, + 'total_den':total_den1, + 'solid_pres':spp1, + 'nchem_eq': nchemstar1, + 'nphys_eq': nphysstar1, + 'dndt_chem': dnchemdt1, + 'dndt_phys': dnphysdt1, + 'nchem': nchem1, + 'nphys':nphys1, + 'den_N2_u': C_N22, + 'den_CO2_u': C_CO22, + 'dcdt_N2_u':dcdt_N22, + 'dcdt_CO2_u':dcdt_CO22, + 'vel_u': vel2, + 'pressure_u':P2, + 'total_den_u':total_den2, + 'solid_pres_u':spp2, + 'nchem_eq_u': nchemstar2, + 'nphys_eq_u': nphysstar2, + 'dndt_chem_u': dnchemdt2, + 'dndt_phys_u': dnphysdt2, + 'nchem_u': nchem2, + 'nphys_u': nphys2 + }) + + elif m.chemsorb: + store = pd.DataFrame({'time': time, + 'position':space, + 'den_N2': C_N2, + 'den_CO2': C_CO2, + 'dcdt_N2':dcdt_N2, + 'dcdt_CO2':dcdt_CO2, + 'vel': vel_, + 'pressure':P, + 'total_den':total_den, + 'solid_pres':spp, + 'nchem_eq': nchemstar, + 'dndt_chem': dnchemdt, + 'nchem': nchem}) + + elif m.physsorb: + store = pd.DataFrame({'time': time, + 'position':space, + 'den_N2': C_N2, + 'den_CO2': C_CO2, + 'dcdt_N2':dcdt_N2, + 'dcdt_CO2':dcdt_CO2, + 'vel': vel_, + 'pressure':P, + 'total_den':total_den, + 'solid_pres':spp, + 'nphys_eq': nphysstar, + 'dndt_phys': dnphysdt, + 'nphys':nphys}) + + else: + store = pd.DataFrame({'time': time, + 'position':space, + 'den_N2': C_N2, + 'den_CO2': C_CO2, + 'dcdt_N2':dcdt_N2, + 'dcdt_CO2':dcdt_CO2, + 'vel': vel_, + 'pressure':P, + 'total_den':total_den}) + + return store + +def extract3(m,result): + ''' + Extract results from Pyomo model for brute force DoE problem. + Compared to extract2: less options kept, add the design variable values + + Arguments: + m: the model + + Return: a single pandas dataframe storing all results + ''' + nTime = len(m.t) + nGrid = len(m.zgrid) + n = nTime*nGrid + + ### Variables to be extracted + + # Two 3D variables, for COMPS(N2, CO2, He) + + FCO2_1, FCO2_2, FCO2_3, FCO2_4 = extract2d(m, m.FCO2) + + FCO21 = np.reshape(FCO2_1, n) + FCO22 = np.reshape(FCO2_2, n) + FCO23 = np.reshape(FCO2_3, n) + FCO24 = np.reshape(FCO2_4, n) + + C_N2_1, C_N2_2, C_N2_3, C_N2_4 = extract3d(m,m.C,'N2') + C_CO2_1, C_CO2_2, C_CO2_3, C_CO2_4 = extract3d(m,m.C,'CO2') + + C_N21 = np.reshape(C_N2_1, n) + C_CO21 = np.reshape(C_CO2_1, n) + + C_N22 = np.reshape(C_N2_2, n) + C_CO22 = np.reshape(C_CO2_2, n) + + C_N23 = np.reshape(C_N2_3, n) + C_CO23 = np.reshape(C_CO2_3, n) + + C_N24 = np.reshape(C_N2_4, n) + C_CO24 = np.reshape(C_CO2_4, n) + + + dcdt_N2_1, dcdt_N2_2, dcdt_N2_3, dcdt_N2_4 = extract3d(m,m.dCdt,'N2') + dcdt_CO2_1, dcdt_CO2_2, dcdt_CO2_3, dcdt_CO2_4 = extract3d(m,m.dCdt,'CO2') + + dcdt_N21 = np.reshape(dcdt_N2_1,n) + dcdt_CO21 = np.reshape(dcdt_CO2_1,n) + + dcdt_N22 = np.reshape(dcdt_N2_2,n) + dcdt_CO22 = np.reshape(dcdt_CO2_2,n) + + dcdt_N23 = np.reshape(dcdt_N2_3,n) + dcdt_CO23 = np.reshape(dcdt_CO2_3,n) + + dcdt_N24 = np.reshape(dcdt_N2_4,n) + dcdt_CO24 = np.reshape(dcdt_CO2_4,n) + + # Three 2D variables + vel_1, vel_2, vel_3, vel_4 = extract2d(m, m.v) + + vel1 = np.reshape(vel_1, n) + vel2 = np.reshape(vel_2,n) + vel3 = np.reshape(vel_3,n) + vel4 = np.reshape(vel_4,n) + + P_1, P_2, P_3, P_4 = extract2d(m,m.P) + P1 = np.reshape(P_1,n) + P2 = np.reshape(P_2, n) + P3 = np.reshape(P_3, n) + P4 = np.reshape(P_4, n) + + total_den_1, total_den_2, total_den_3, total_den_4 = extract2d(m,m.total_den) + total_den1 = np.reshape(total_den_1, n) + total_den2 = np.reshape(total_den_2, n) + total_den3 = np.reshape(total_den_3, n) + total_den4 = np.reshape(total_den_4, n) + + if m.energy: + T_1, T_2, T_3, T_4 = extract2d(m,m.temp) + T1 = np.reshape(T_1, n) + T2 = np.reshape(T_2, n) + T3 = np.reshape(T_3, n) + T4 = np.reshape(T_4, n) + + dTdt_1, dTdt_2, dTdt_3, dTdt_4 = extract2d(m,m.dTdt) + dTdt1 = np.reshape(dTdt_1,n) + dTdt2 = np.reshape(dTdt_2,n) + dTdt3 = np.reshape(dTdt_3,n) + dTdt4 = np.reshape(dTdt_4,n) + + nplin_1, nplin_2, nplin_3, nplin_4 = extract2d(m, m.nplin) + nplin1 = np.reshape(nplin_1, n) + nplin2 = np.reshape(nplin_2, n) + nplin3 = np.reshape(nplin_3, n) + nplin4 = np.reshape(nplin_4, n) + + + # Seven 3D variables, for SCOMPS(CO2) + spp_1, spp_2, spp_3, spp_4 = extract3d(m, m.spp, 'CO2') + + spp1 = np.reshape(spp_1,n) + spp2 = np.reshape(spp_2,n) + spp3 = np.reshape(spp_3,n) + spp4 = np.reshape(spp_4,n) + + nchemstar_1, nchemstar_2, nchemstar_3, nchemstar_4 = extract3d(m, m.nchemstar,'CO2') + + nchemstar1 = np.reshape(nchemstar_1, n) + nchemstar2 = np.reshape(nchemstar_2, n) + nchemstar3 = np.reshape(nchemstar_3, n) + nchemstar4 = np.reshape(nchemstar_4, n) + + + dnchemdt_1, dnchemdt_2, dnchemdt_3, dnchemdt_4 = extract3d(m, m.dnchemdt,'CO2') + dnchemdt1 = np.reshape(dnchemdt_1, n) + dnchemdt2 = np.reshape(dnchemdt_2, n) + dnchemdt3 = np.reshape(dnchemdt_3, n) + dnchemdt4 = np.reshape(dnchemdt_4, n) + + + nchem_1, nchem_2, nchem_3, nchem_4 = extract3d(m, m.nchem,'CO2') + nchem1 = np.reshape(nchem_1, n) + nchem2 = np.reshape(nchem_2, n) + nchem3 = np.reshape(nchem_3, n) + nchem4 = np.reshape(nchem_4, n) + + + nphysstar_1, nphysstar_2, nphysstar_3, nphysstar_4 = extract3d(m, m.nphysstar,'CO2') + nphysstar1 = np.reshape(nphysstar_1, n) + nphysstar2 = np.reshape(nphysstar_2, n) + nphysstar3 = np.reshape(nphysstar_3, n) + nphysstar4 = np.reshape(nphysstar_4, n) + + dnphysdt_1, dnphysdt_2, dnphysdt_3, dnphysdt_4 = extract3d(m, m.dnphysdt,'CO2') + dnphysdt1 = np.reshape(dnphysdt_1, n) + dnphysdt2 = np.reshape(dnphysdt_2, n) + dnphysdt3 = np.reshape(dnphysdt_3, n) + dnphysdt4 = np.reshape(dnphysdt_4, n) + + nphys_1, nphys_2, nphys_3, nphys_4 = extract3d(m, m.nphys,'CO2') + nphys1 = np.reshape(nphys_1, n) + nphys2 = np.reshape(nphys_2, n) + nphys3 = np.reshape(nphys_3, n) + nphys4 = np.reshape(nphys_4, n) + + + if (result.solver.status == SolverStatus.ok) and (result.solver.termination_condition == TerminationCondition.optimal): + status = 'converged' + elif (result.solver.termination_condition==TerminationCondition.infeasible): + status = 'infeasible solution' + else: + status = 'other' + + + + # Meshgrid + x = [] + for t in m.t: + x.append(value(t)) + + y = [] + for z in m.zgrid: + y.append(value(z)) + + + [X,Y] = np.meshgrid(x,y) + time = np.reshape(X,n) + space = np.reshape(Y,n) + + if m.chemsorb and m.physsorb: + if m.energy: + store = pd.DataFrame({'time': time, + 'position':space, + 'T_inlet': m.temp_orig, + 'y_inlet': m.yfeed['CO2'], + status: 0, + 'fco2': FCO21, + 'den_N2': C_N21, + 'den_CO2': C_CO21, + 'dcdt_N2':dcdt_N21, + 'dcdt_CO2':dcdt_CO21, + 'vel': vel1, + 'pressure':P1, + 'temp': T1, + 'dTdt': dTdt1, + 'nplin': nplin1, + 'total_den':total_den1, + 'solid_pres':spp1, + 'nchem_eq': nchemstar1, + 'nphys_eq': nphysstar1, + 'dndt_chem': dnchemdt1, + 'dndt_phys': dnphysdt1, + 'nchem': nchem1, + 'nphys':nphys1, + 'fco2_k': FCO22, + 'den_N2_k': C_N22, + 'den_CO2_k': C_CO22, + 'dcdt_N2_k':dcdt_N22, + 'dcdt_CO2_k':dcdt_CO22, + 'vel_k': vel2, + 'pressure_k':P2, + 'temp_k': T2, + 'total_den_k':total_den2, + 'solid_pres_k':spp2, + 'nchem_eq_k': nchemstar2, + 'nphys_eq_k': nphysstar2, + 'dndt_chem_k': dnchemdt2, + 'dndt_phys_k': dnphysdt2, + 'nchem_k': nchem2, + 'nphys_k': nphys2, + 'fco2_u': FCO23, + 'den_N2_u': C_N23, + 'den_CO2_u': C_CO23, + 'dcdt_N2_u':dcdt_N23, + 'dcdt_CO2_u':dcdt_CO23, + 'vel_u': vel3, + 'pressure_u':P3, + 'temp_u': T3, + 'total_den_u':total_den3, + 'solid_pres_u':spp3, + 'nchem_eq_u': nchemstar3, + 'nphys_eq_u': nphysstar3, + 'dndt_chem_u': dnchemdt3, + 'dndt_phys_u': dnphysdt3, + 'nchem_u': nchem3, + 'nphys_u': nphys3, + 'fco2_f': FCO24, + 'den_N2_f': C_N24, + 'den_CO2_f': C_CO24, + 'dcdt_N2_f':dcdt_N24, + 'dcdt_CO2_f':dcdt_CO24, + 'vel_f': vel4, + 'pressure_f':P4, + 'temp_f': T4, + 'total_den_f':total_den4, + 'solid_pres_f':spp4, + 'nchem_eq_f': nchemstar4, + 'nphys_eq_f': nphysstar4, + 'dndt_chem_f': dnchemdt4, + 'dndt_phys_f': dnphysdt4, + 'nchem_f': nchem4, + 'nphys_f': nphys4 + }) + + else: + # save the arrays into the data frame + # TODO: add the third set + store = pd.DataFrame({'time': time, + 'position':space, + 'T_inlet': m.temp_orig, + 'y_inlet': m.yfeed['CO2'], + 'fco2': FCO21, + 'den_N2': C_N21, + 'den_CO2': C_CO21, + 'dcdt_N2':dcdt_N21, + 'dcdt_CO2':dcdt_CO21, + 'vel': vel1, + 'pressure':P1, + 'total_den':total_den1, + 'solid_pres':spp1, + 'nchem_eq': nchemstar1, + 'nphys_eq': nphysstar1, + 'dndt_chem': dnchemdt1, + 'dndt_phys': dnphysdt1, + 'nchem': nchem1, + 'nphys':nphys1, + 'den_N2_u': C_N22, + 'den_CO2_u': C_CO22, + 'dcdt_N2_u':dcdt_N22, + 'dcdt_CO2_u':dcdt_CO22, + 'vel_u': vel2, + 'pressure_u':P2, + 'total_den_u':total_den2, + 'solid_pres_u':spp2, + 'nchem_eq_u': nchemstar2, + 'nphys_eq_u': nphysstar2, + 'dndt_chem_u': dnchemdt2, + 'dndt_phys_u': dnphysdt2, + 'nchem_u': nchem2, + 'nphys_u': nphys2 + }) + + else: + print('check the adsorption options!!! not a square problem') + + return store + +def initial_bed_csv(m, store_): + ''' + Initialize the bed with values for every time node and every grid. + This version uses linear interporation + + Arguments: + m: model + store_ : the pandas dataframe storing solution + note that this function will be used before running the model, so this store_ will be the previous solution. + + Return: None + + ''' + + # Extract the length of time nodes and grid nodes + nTime = len(m.t) + nGrid = len(m.zgrid) + n = nTime*nGrid + + + + Z = np.unique(np.asarray(store_['position'])) + T = np.unique(np.asarray(store_['time'])) + + print('Model # of time grid is', nTime, ', initial point # of time grid is', len(T)) + + # Extract every variable + den_N2 = np.asarray(store_['den_N2']) + den_CO2 = np.asarray(store_['den_CO2']) + + dcdt_N2 = np.asarray(store_['dcdt_N2']) + dcdt_CO2 = np.asarray(store_['dcdt_CO2']) + + P = np.asarray(store_['pressure']) + vel_ = np.asarray(store_['vel']) + total_den = np.asarray(store_['total_den']) + + if m.energy: + temp_co = np.asarray(store_['temp']) + dTdt_co = np.asarray(store_['dTdt']) + nplin_co = np.asarray(store_['nplin']) + + if m.isotherm: + s_pres = np.asarray(store_['solid_pres']) + + if m.physsorb: + nphys_eq = np.asarray(store_['nphys_eq']) + dnphysdt = np.asarray(store_['dndt_phys']) + nphys = np.asarray(store_['nphys']) + + if m.chemsorb: + nchem_eq = np.asarray(store_['nchem_eq']) + dnchemdt = np.asarray(store_['dndt_chem']) + nchem = np.asarray(store_['nchem']) + + c_N2 = interp2d(Z, T, den_N2, kind='cubic') + c_CO2 = interp2d(Z, T, den_CO2, kind='cubic') + + dcdt_N2_ = interp2d(Z, T, dcdt_N2, kind='cubic') + dcdt_CO2_ = interp2d(Z, T, dcdt_CO2, kind='cubic') + + V = interp2d(Z, T, vel_, kind='cubic') + pres = interp2d(Z, T, P, kind='cubic') + tot_den = interp2d(Z, T, total_den, kind='cubic') + + if m.energy: + temp_e = interp2d(Z, T, temp_co, kind='cubic') + dTdt_e = interp2d(Z, T, dTdt_co, kind='cubic') + nplin_e = interp2d(Z, T, nplin_co, kind='cubic') + + if m.isotherm: + solid_pres = interp2d(Z, T, s_pres, kind='cubic') + if m.physsorb: + Nphys_e = interp2d(Z, T, nphys_eq, kind='cubic') + dndt_phys = interp2d(Z, T, dnphysdt, kind='cubic') + Nphys = interp2d(Z, T, nphys, kind='cubic') + + if m.chemsorb: + Nchem_e = interp2d(Z, T, nchem_eq, kind='cubic') + dndt_chem = interp2d(Z, T, dnchemdt, kind='cubic') + Nchem = interp2d(Z, T, nchem, kind='cubic') + + + # Loop for every time and grid nodes + for j in m.perturb: + for z in m.zgrid: + for i in m.t: + z_ = value(z) /(Ngrid) + t_ = value(i) + m.C[j,'N2',z,i] = c_N2(z_, t_)[0] + m.C[j,'CO2',z,i] = c_CO2(z_,t_)[0] + + m.dCdt[j,'N2',z,i] = dcdt_N2_(z_, t_)[0] + m.dCdt[j,'CO2',z,i] = dcdt_CO2_(z_, t_)[0] + + m.v[j,z,i] = V(z_,t_)[0] + m.P[j,z,i] = pres(z_,t_)[0] + m.total_den[j,z,i] = tot_den(z_,t_)[0] + + if m.energy: + m.temp[j,z,i] = temp_e(z_, t_)[0] + m.dTdt[j,z,i] = dTdt_e(z_, t_)[0] + m.nplin[j,z,i] = nplin_e(z_, t_)[0] + + if m.isotherm: + m.spp[j,'CO2',z,i] = solid_pres(z_, t_)[0] + x = alpha_scale*(solid_pres(z_, t_)[0] - plin) + + if alpha_option == 1: + alpha_ = 0.5*(1 - x / np.sqrt(eps_alpha + x*x)) + elif alpha_option == 2: + alpha_ = 1 - 1 /(1 + exp(-x)) + elif alpha_option == 3: + alpha_ = 0.0 + elif alpha_option == 4: + alpha_ = 1.0 + + if alpha_variable: + m.alpha[j,'CO2',z,i] = alpha_ + + if m.chemsorb: + m.nchemstar[j,'CO2',z,i] = Nchem_e(z_, t_)[0] + m.dnchemdt[j,'CO2',z,i] = dndt_chem(z_, t_)[0] + m.nchem[j,'CO2',z,i] = Nchem(z_, t_)[0] + if m.energy: + m.nchemstar_mod[j,'CO2',z,i] = alpha_*value(m.nplin[j,z,i])*solid_pres(z_, t_)[0]/plin + (1-alpha_)*Nchem_e(z_, t_)[0] + else: + m.nchemstar_mod[j,'CO2',z,i] = alpha_*m.nplin*solid_pres(z_, t_)[0]/plin + (1-alpha_)*Nchem_e(z_, t_)[0] + + if m.physsorb: + m.nphysstar[j,'CO2',z,i] = Nphys_e(z_, t_)[0] + #m.nphysstar_mod[j,'CO2',z,i] = alpha_*m.nplin*solid_pres(z_, t_)[0]/plin + (1-alpha_)*Nphys_e(z_, t_)[0] + m.dnphysdt[j,'CO2',z,i] = dndt_phys(z_, t_)[0] + m.nphys[j,'CO2',z,i] = Nphys(z_, t_)[0] + + + + +def compute_Kp(mod,LOUD=True): + ''' Compute Kp from the solution [m^2/s] + + ''' + Kp_ = {} + for c in mod.SCOMPS: + tfc = value(mod.fitted_transport_coefficient[c]) + + Kp_[c] = radp*radp/15/ads_epsp/tfc + + if LOUD: + print("fitted_transport_coefficient[",c,"] =",tfc,"s") + print("Kp[",c,"] =",Kp_[c],"m^2/s") + + return Kp_ + + +### DoE analysis function +def ext_pres_double(total, option1, option2, node): + ''' + Extract the solution of a variable + Arguments: + total: a pandas dataframe of solutions + option: name of the variable + node: number of timesteps + Note: the Ngrid is fixed to 20 + Return: a list + ''' + x_py1 = total[option1] + x_pyomo1 = np.zeros((20,node)) + + for i in range(0,20): + for j in range(0,node): + x_pyomo1[i,j] = x_py1.iloc[i*node+j] + + x_py2 = total[option2] + x_pyomo2 = np.zeros((20,node)) + + for m in range(0,20): + for k in range(0,node): + x_pyomo2[m,k] = x_py2.iloc[m*node+k] + + return x_pyomo1, x_pyomo2 + +def ext_pres(total, option1, node): + ''' + Extract the solution of a variable + Arguments: + total: a pandas dataframe of solutions + option: name of the variable + node: number of timesteps + Note: the Ngrid is fixed to 20 + Return: a list + ''' + x_py1 = total[option1] + x_pyomo1 = np.zeros((20,node)) + + for i in range(0,20): + for j in range(0,node): + x_pyomo1[i,j] = x_py1.iloc[i*node+j] + + return x_pyomo1 + + +def get_fco2(con_s, vel_s): + ''' + Calculate the outlet CO2 molar flowrate with extracted solutions + Argument: + con_s: a list of CO2 density + vel_s: a list of velocity + Note: the Ngrid is fixed to 20 + Return: a list of FCO2 + ''' + outlet = con_s[19, :] + outlet_velo = vel_s[19, :] + + FCO2 = np.zeros((len(outlet))) + for i in range(0, len(outlet)): + #LHS: mmol/min + #RHS: mol/m3 * cm/s * m2 * 60*1000/100 + FCO2[i] = (outlet[i]*outlet_velo[i]*3.1415926*rbed*rbed*600) + return FCO2 + +def average(lis): + ''' + Get the average value of velocity/pressure etc. + ''' + li = np.asarray(lis) + res = li.reshape([69*20,]) + return sum(res)/len(res) + +def time_points(n, time_range): + ''' + Split the timespan of the experiment into n nodes + + Argument: n: the number of time nodes. + + return: time_points, a list of values of timepoints in [s] + ''' + time_points = [] + int_time = time_range/n + + # specify where the time begins. Usually 0 + time_ele = 0 + time_points.append(time_ele) + for i in range(n): + time_ele += int_time + time_points.append(time_ele) + + return time_points + +def Residual(m): + ''' + Calculate the residual with a given model + return: + res: the residual at every timepoint + FCO2: the CO2 outlet flowrate at every timepoint + ''' + + # Extract time + T = [] + for j in m.t: + T.append(value(j)) + t_final = T[-1] + + # Extract CO2 density + outlet_den = extract3d(m, m.C, 'CO2') + outlet_ = [] + outlet_.append(outlet_den[Ngrid-1, :]) + outlet = np.reshape(outlet_, len(T)) + + # Extract velocity + outlet_vel = extract2d(m, m.v) + outlet_v = [] + outlet_v.append(outlet_vel[Ngrid-1, :]) + outlet_velo = np.reshape(outlet_v, len(T)) + + # Extract values of FCO2 + FCO2_ = [] + for i in range(0, len(T)): + FCO2_.append(value(m.FCO2[T[i]])) + + # Extract values of yCO2 + yCO2_ = [] + for i in range(0, len(T)): + yCO2_.append(value(m.yCO2[T[i]])) + + # Get value of residual + res = 0 + for i in range(0, len(outlet)): + res += (outlet[i]*outlet_velo[i]*3.1415926*rbed*rbed*600 - FCO2_[i])**2 + + FCO2 = np.zeros((len(outlet))) + for i in range(0, len(outlet)): + FCO2[i] = (outlet[i]*outlet_velo[i]*3.1415926*rbed*rbed*600) + + return res, FCO2 + +def breakthrough_modify(m,exp): + ''' + Draw breakthrough curve, comparing experimental data with simulation data. + + Arguments: + m: moel + exp: experimental data + + + Return: None + + Other: plot + + ''' + + break_wvu = pd.read_csv('breakthrough_wvu.csv') + + # unit: mol/m3 + outlet_den = extract3d(m, m.C, 'CO2') + + # unit: cm/s + outlet_vel = extract2d(m, m.v) + + outlet_n2 = extract3d(m, m.C, 'N2') + #print(outlet_den) + #print(outlet_n2) + #print(outlet_vel) + T = [] + for j in m.t: + T.append(value(j)) + t_final = T[-1] + + #print(T) + #print(exp['time']*60) + #print(break_wvu['time']*60) + + data_c1 = exp['yCO2'] + data_c = np.asarray(data_c1) + data_t1 = exp['time'] + data_t = np.asarray(data_t1*60+10) + new_data = np.interp(T, data_t, data_c) + + #print(break_wvu['FCO2']) + #print(exp['time']) + + plt.plot(exp['time']*60, exp['yCO2'],'b.', color='r') + #plt.plot(exp_nolin['time']*60, exp_nolin['yCO2'], label='WVU curve') + plt.plot(break_wvu['time']*60, break_wvu['FCO2'], label='WVU curve') + plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Pyomo curve') + + # Use for 1200 - 1500 seconds: + + #plt.plot(exp['time'][35:42]*60, exp['yCO2'][35:42],'b.', color='r') + #plt.plot(break_wvu['time'][1700:2000]*60, break_wvu['FCO2'][1700:2000], label='WVU curve') + #plt.plot(T[1:], outlet_den[-1,1:]*outlet_vel[-1,1:]/6.7, label='Pyomo curve') + + #plt.plot(T, outlet_n2[-1,:]*outlet_vel[-1,:]/(outlet_n2[-1, -1]*outlet_vel[-1,-1]),label='N2') + plt.xlabel('time [s]') + plt.ylabel('Normalized outlet gas density of CO2') + plt.title('breakthrough curve') + plt.legend() + plt.show() + + + +def energy_balance_old(m, j, z, t): + ''' + Energy balance assuming Tambient = Twall, Tg=Ts + Equation from [Dowling, 2012] + + Arguments: + m: model + j: model.perturb + i: model.SCOMPS or model.COMPS + z: model.zgrid + t: model.t + + Return: ODE for calculating component species density + + ''' + # calculate sum(ci*cpg) + # mol/m3 * J/mol/K = J/m3/K + sum_c = sum(m.C[j,i,z,t]*m.cpg[j,i,z,t] for i in m.COMPS) + + # calculate the coefficient of dT/dt + # J/m3/K + kg/m3 * J/kg/K = J/m3/K + dividant = ads_epsb*sum_c + den_bed*cps + + # calculate the sum of Hi*dni/dt + # kJ/mol * mol/kg/s = kJ/kg/s + sum_hdn = sum(-m.H_ads[a]*(m.dnchemdt[j,a,z,t]+m.dnphysdt[j,a,z,t]) for a in m.SCOMPS) + + # sum of heat flow, [J/m3] + # RHS: mol/m3 * J/mol = J/m3 + h_sum = sum(m.C[j,b,z,t]*m.h[j,b,z,t] for b in m.COMPS) + + # heat flow feed, [J/m3] + h_sum_feed = sum(m.den_f[p]*m.h_feed[p] for p in m.COMPS) + + # LHS: W/m3 = J/s/m3 + # RHS: cm/s * 1m/100cm * J/m3 * 1/m = J/s/m3 + if z==0: + duhdz = (m.v[j,z,t]*0.01*h_sum - vel_f*0.01*h_sum_feed)/dz + else: + # heat flow of the previous grid, [J/m3] + h_sum_back = sum(m.C[j,b,z-1,t]*m.h[j,b,z-1,t] for b in m.COMPS) + duhdz = (m.v[j,z,t]*0.01*h_sum - m.v[j,z-1,t]*0.01*h_sum_back)/dz + + # LHS: K/s + # RHS: (kg/m3 * kJ/kg/s * 1000J/1kJ - J/m3/s - J/s/m3/K *K)/ (J/m3/K) = K/s + #if m.temp_option==2: + # return m.dTdt[j,z,t] == (den_bed*sum_hdn*1000 - duhdz - exp(m.ua[j])*(m.temp[j,z,t]-m.temp_bath))/dividant + #elif m.temp_option==1: + if m.est_ua: + return m.dTdt[j,z,t] == (den_bed*sum_hdn*1000 - duhdz - exp(m.ua)*(m.temp[j,z,t]-m.temp_bath))/dividant + else: + return m.dTdt[j,z,t] == (den_bed*sum_hdn*1000 - duhdz - exp(m.ua[j])*(m.temp[j,z,t]-m.temp_bath))/dividant + + +def breakthrough_modify2(m, file=None, source="computer"): + ''' + Draw breakthrough curve of the Pyomo model + + Arguments: + m: Pyomo model + file: when source = 'computer', this is where the computer experimental data is stored. Otherwise, its default is None + source: if computer, it is plotting the computer experiment data. If lab, its comparing the experiments from the lab + + Return: None + + Other: plot + + ''' + + + # unit: mol/m3 + outlet_den, _, _, _ = extract3d(m, m.C, 'CO2') + + # unit: cm/s + outlet_vel, _, _, _ = extract2d(m, m.v) + + outlet_n2, _, _, _ = extract3d(m, m.C, 'N2') + #print(outlet_den) + #print(outlet_n2) + #print(outlet_vel) + + model_temp, _,_,_ = extract2d(m,m.temp) + + + T = [] + for j in m.t: + T.append(value(j)) + t_final = T[-1] + + #print(T) + #print(exp['time']*60) + #print(break_wvu['time']*60) + + if source == "lab": + break_wvu = pd.read_csv('breakthrough_wvu.csv') + + exp = pd.read_csv('co2_breakthrough.csv') + + data_c1 = exp['yCO2'] + data_c = np.asarray(data_c1) + data_t1 = exp['time'] + data_t = np.asarray(data_t1*60+10) + new_data = np.interp(T, data_t, data_c) + + #print(break_wvu['FCO2']) + #print(exp['time']) + + plt.plot(exp['time']*60, exp['yCO2'],'b.', color='r', label='Experimental data') + #plt.plot(exp_nolin['time']*60, exp_nolin['yCO2'], label='WVU curve') + #plt.plot(break_wvu['time']*60, break_wvu['FCO2'], label='WVU curve') + plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Model prediction') + + # Use for 1200 - 1500 seconds: + + #plt.plot(exp['time'][35:42]*60, exp['yCO2'][35:42],'b.', color='r') + #plt.plot(break_wvu['time'][1700:2000]*60, break_wvu['FCO2'][1700:2000], label='WVU curve') + #plt.plot(T[1:], outlet_den[-1,1:]*outlet_vel[-1,1:]/6.7, label='Pyomo curve') + + #plt.plot(T, outlet_n2[-1,:]*outlet_vel[-1,:]/(outlet_n2[-1, -1]*outlet_vel[-1,-1]),label='N2') + plt.xlabel('time [s]') + plt.ylabel('Normalized outlet gas density of CO\N{SUBSCRIPT TWO} ') + plt.title('Breakthrough curve') + #plt.savefig('break_tr%.fua%.f.png'%(tr,ua)) + plt.legend() + plt.show() + + elif source == "computer": + + sol = pd.read_csv(file) + + #for i in range(len(time_exp)): + # yco2_exp[time_exp[i]] = sol['FCO2'][i] + # temp_mid_exp[time_exp[i]] = sol['temp_mid'][i] + # temp_end_exp[time_exp[i]] = sol['temp_end'][i] + + exp_fco2 = np.asarray(sol['FCO2'].values.tolist()) + exp_temp_mid = np.asarray(sol['temp_mid'].values.tolist()) + exp_temp_end = np.asarray(sol['temp_end'].values.tolist()) + + plt.plot(T, exp_fco2/exp_fco2[-1], label = 'Experimental data') + plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Model prediction') + plt.xlabel('time [s]') + plt.ylabel('Normalized outlet gas density of CO\N{SUBSCRIPT TWO} ') + plt.title('Breakthrough curve') + #plt.savefig('break_tr%.fua%.f.png'%(tr,ua)) + plt.legend() + plt.show() + + + plt.plot(T, exp_temp_mid, label='Experimental data of middle T') + plt.plot(T, model_temp[10,:], label='Model prediction of middle T') + plt.plot(T, exp_temp_end, label='Experimental data of end T') + plt.plot(T, model_temp[19,:], label='Model prediction of end T') + plt.xlabel('time [s]') + plt.ylabel('Temperature [K]') + plt.title('Temperature model prediction and experimental data') + #plt.savefig('break_tr%.fua%.f.png'%(tr,ua)) + plt.legend() + plt.show() + + + +def makeplot_csv2(store_, temp_show = False): + ''' + Make plot from results stored before + To make plots from .csv file in fixed_bed_init.ipynb: first run code before solver, then run this function + + Arguments: + store_: a single pandas dataframe + + Return: None + + Other: plots + ''' + # Extract variable values from dataframe + den_N2 = np.asarray(store_['den_N2']) + den_CO2 = np.asarray(store_['den_CO2']) + vel_ = np.asarray(store_['vel']) + nchem_eq = np.asarray(store_['nchem_eq']) + nphys_eq = np.asarray(store_['nphys_eq']) + nchem = np.asarray(store_['nchem']) + nphys = np.asarray(store_['nphys']) + if temp_show: + temp_ = np.asarray(store_['temp']) + pres = np.asarray(store_['pressure']) + + Z = np.unique(np.asarray(store_['position'])) + T = np.unique(np.asarray(store_['time'])) + + Ngrid, NFEt = get_size_csv(store_) + + # Reshape the array into [# of grids, # of time nodes] + P = np.reshape(pres, (Ngrid, NFEt+1)) + c_N2 = np.reshape(den_N2,(Ngrid,NFEt+1)) + c_CO2 = np.reshape(den_CO2,(Ngrid,NFEt+1)) + V = np.reshape(vel_,(Ngrid,NFEt+1)) + Nchem_e = np.reshape(nchem_eq,(Ngrid,NFEt+1)) + Nphys_e = np.reshape(nphys_eq,(Ngrid,NFEt+1)) + Nchem = np.reshape(nchem,(Ngrid,NFEt+1)) + Nphys = np.reshape(nphys,(Ngrid,NFEt+1)) + if temp_show: + temp = np.reshape(temp_, (Ngrid, NFEt+1)) + + # Meshgrid + x = np.array(range(NFEt+1))*47.0588235294118 + y = np.array(range(Ngrid))/Ngrid + [X,Y] = np.meshgrid(x,y) + + z_N2 = c_N2 + z_CO2 = c_CO2 + z_vel = V + z_nce = Nchem_e + z_npe = Nphys_e + z_nc = Nchem + z_nph = Nphys + if temp_show: + z_T = temp + + # Visualize pressure + h = plt.contourf(X,Y,P) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Pressure [bar]') + plt.show() + + + # Visualize velocity + h = plt.contourf(X,Y,z_vel) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Velocity [cm/s]') + plt.show() + + # Visualize N2 density + h = plt.contourf(X,Y,z_N2) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('N2 Density [mol/m$^3$]') + plt.show() + + # Visualize CO2 density + h = plt.contourf(X,Y,z_CO2) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('CO2 Density [mol/m$^3$]') + plt.show() + + + # Visualize Chemical isotherm + h = plt.contourf(X,Y,z_nce) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Isotherm [mmol/g]') + plt.show() + + # Visualize physical isotherm + h = plt.contourf(X,Y,z_npe) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Isotherm [mmol/g]') + plt.show() + + # Visualize chemical loading + h = plt.contourf(X,Y,z_nc) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Chemical Loading [mmol/g]') + plt.show() + + # Visualize physical loading + h = plt.contourf(X,Y,z_nph) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Physical Loading [mmol/g]') + plt.show() + + if temp_show: + # Visualize physical loading + h = plt.contourf(X,Y,z_T) + plt.xlabel('Time [sec]') + plt.ylabel('Bed Position [scaled]') + plt.colorbar(h) + plt.title('Temperature[K]') + plt.show() + + + +def ext_pres(total, option1, node): + ''' + Extract the solution of a variable + Arguments: + total: a pandas dataframe of solutions + option: name of the variable + node: number of timesteps + Note: the Ngrid is fixed to 20 + Return: a list + ''' + x_py1 = total[option1] + x_pyomo1 = np.zeros((20,node)) + + for i in range(0,20): + for j in range(0,node): + x_pyomo1[i,j] = x_py1.iloc[i*node+j] + + return x_pyomo1 + + +def ext_time(total, node): + ''' + Extract the time nodes + Argument: + total: a pandas dataframe of solutions + node: the number of timesteps + return: a list + ''' + t_py = total['pressure'] + time_p = t_py.index.to_list()[:node] + return time_p + +def get_fco2(con_s, vel_s): + ''' + Calculate the outlet CO2 molar flowrate with extracted solutions + Argument: + con_s: a list of CO2 density + vel_s: a list of velocity + Note: the Ngrid is fixed to 20 + Return: a list of FCO2 + ''' + outlet = con_s[19, :] + outlet_velo = vel_s[19, :] + + FCO2 = np.zeros((len(outlet))) + for i in range(0, len(outlet)): + #LHS: mmol/min + #RHS: mol/m3 * cm/s * m2 * 60*1000/100 + FCO2[i] = (outlet[i]*outlet_velo[i]*3.1415926*rbed*rbed*600) + return FCO2 \ No newline at end of file diff --git a/pyomo/contrib/doe/interface_slide.py b/pyomo/contrib/doe/interface_slide.py new file mode 100644 index 00000000000..a5a3fcae8db --- /dev/null +++ b/pyomo/contrib/doe/interface_slide.py @@ -0,0 +1,97 @@ +def create_model_dae(scena, CA_init=3, controls={0: 300, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}, t_range=[0.0,1]): + + # parameters initialization, results from parameter estimation + theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + + ### Add variables + m = ConcreteModel() + + m.para_list = ['A1', 'A2', 'E1', 'E2'] + t_control = list(controls.keys()) + + m.scena_all = scena + m.scena = Set(initialize=scena['scena-name']) + + # timepoints + m.t = ContinuousSet(bounds=(t_range[0], t_range[1])) + + # Control time points for time dependent control variables + m.t_con = Set(initialize=t_control) + # Control time point for time independent control variables + m.t0 = Set(initialize=[0]) + + # time-independent design variable + m.CA0 = Var(m.t0, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L + # time-dependent design variable + m.T = Var(m.t, initialize =350, bounds=(300, 700), within=NonNegativeReals) + + m.R = 8.31446261815324 # J / K / mole + + # Define parameters + m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + # Concentration variables under perturbation + m.CA = Var(m.scena, m.t, initialize=0.3, within=NonNegativeReals) + m.CB = Var(m.scena, m.t, initialize=0.3, within=NonNegativeReals) + m.CC = Var(m.scena, m.t, initialize=0.3, within=NonNegativeReals) + + # time derivative of C + m.dCAdt = DerivativeVar(m.CA, wrt=m.t) + m.dCBdt = DerivativeVar(m.CB, wrt=m.t) + m.dCCdt = DerivativeVar(m.CC, wrt=m.t) + + # kinetic parameters + m.kp1 = Var(m.scena, m.t, initialize=m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t]))) + m.kp2 = Var(m.scena, m.t, initialize=m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t])) + + + def T_control(m,t): + ''' + Enable piecewise constant control profile + ''' + if t in m.t_con: + return Constraint.Skip + else: + j = -1 + for t_con in m.t_con: + if t>t_con: + j+=1 + neighbour_t = t_control[j] + return m.T[t] == m.T[neighbour_t] + + + def cal_kp1(m,z,t): + return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) + + def cal_kp2(m,z,t): + return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) + + def dCAdt_control(m,z,t): + return m.dCAdt[z,t] == -m.kp1[z,t]*m.CA[z,t] + + def dCBdt_control(m,z,t): + return m.dCBdt[z,t] == m.kp1[z,t]*m.CA[z,t] - m.kp2[z,t]*m.CB[z,t] + + def alge(m,z,t): + return m.CA[z,t] + m.CB[z,t] + m.CC[z,t] == m.CA0[0] + + + # Control time + m.T_rule = Constraint(m.t, rule=T_control) + + # calculating C + m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) + m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) + m.dCAdt_rule = Constraint(m.scena, m.t, rule=dCAdt_control) + m.dCBdt_rule = Constraint(m.scena, m.t, rule=dCBdt_control) + m.alge_rule = Constraint(m.scena, m.t, rule=alge) + + # B.C. + for z in m.scena: + m.CB[z,0.0].fix(0.0) + m.CC[z,0.0].fix(0.0) + + return m \ No newline at end of file diff --git a/pyomo/contrib/doe/k_aug.py b/pyomo/contrib/doe/k_aug.py new file mode 100644 index 00000000000..d046cd21164 --- /dev/null +++ b/pyomo/contrib/doe/k_aug.py @@ -0,0 +1,141 @@ +# ______________________________________________________________________________ +# +# Pyomo: Python Optimization Modeling Objects +# Copyright 2017 National Technology and Engineering Solutions of Sandia, LLC +# Under the terms of Contract DE-NA0003525 with National Technology and +# Engineering Solutions of Sandia, LLC, the U.S. Government retains certain +# rights in this software. +# This software is distributed under the 3-clause BSD License +# ______________________________________________________________________________ +import os +from pyomo.environ import ( + SolverFactory, + ) +from pyomo.common.tempfiles import TempfileManager + + +debug_dir = "kaug_debug" +gjh_dir = "GJH" +# These are files we would like to save from a call to k_aug +# or dot_sens. Other files generated will still be deleted, +# but not saved on the K_augInterface object. +known_files = [ + "dsdp_in_.in", + "conorder.txt", + "timings_k_aug_dsdp.txt", + "dot_out.out", + "delta_p.out", + "timings_dot_driver_dsdp.txt", + os.path.join(debug_dir, "kkt.in"), + os.path.join(gjh_dir, "gradient_f_print.txt"), + os.path.join(gjh_dir, "A_print.txt"), + ] + + +class InTempDir(object): + + def __init__(self, suffix=None, prefix=None, dir=None): + self._suffix = suffix + self._prefix = prefix + self._dir = dir + + def __enter__(self): + self._cwd = os.getcwd() + # Add a new context + TempfileManager.push() + # Create a new tempdir in this context + self._tempdir = TempfileManager.create_tempdir( + suffix=self._suffix, + prefix=self._prefix, + dir=self._dir, + ) + os.chdir(self._tempdir) + + def __exit__(self, ex_type, ex_val, ex_bt): + os.chdir(self._cwd) + TempfileManager.pop() + + +class K_augInterface(object): + """ + k_aug and dot_sens store information in the user's filesystem, + some of which is mandatory for subsequent calls. + This class ensures that calls to these executables happen in + temporary directories. The resulting files are immediately read + and cached as attributes of this object, and the temporary + directories deleted. If we have cached files that can be used + by a subsequent call to k_aug or dot_sens, we write them just + before calling the executable, and they are deleted along with + the temporary directory. + + NOTE: only covers dsdp_mode for now. + """ + + def __init__(self, k_aug=None, dot_sens=None): + # The user may want to use their own k_aug/dot_sens solver + # objects, i.e. with custom options or executable. + if k_aug is None: + k_aug = SolverFactory("k_aug") + + # TODO: Remove this if/when we support RH mode. + k_aug.options["dsdp_mode"] = "" + if dot_sens is None: + dot_sens = SolverFactory("dot_sens") + + # TODO: Remove this if/when we support RH mode. + dot_sens.options["dsdp_mode"] = "" + + if k_aug.available(): + self._k_aug = k_aug + else: + raise RuntimeError("k_aug is not available.") + if dot_sens.available(): + self._dot_sens = dot_sens + else: + raise RuntimeError("dot_sens is not available") + + self.data = {fname: None for fname in known_files} + + def k_aug(self, model, **kwargs): + with InTempDir(): + # Assume that k_aug doesn't need any files as inputs + # (except the nl file, which is handled by solve). + + # Call k_aug + results = self._k_aug.solve(model, **kwargs) + + # Read any files we expect as output + for fname in known_files: + if os.path.exists(fname): + with open(fname, "r") as fp: + self.data[fname] = fp.read() + + return results + + def dot_sens(self, model, **kwargs): + with InTempDir(): + # Write cached files, some of which dot_sens may use as input + for fname, contents in self.data.items(): + if contents is not None: + with open(fname, "w") as fp: + fp.write(contents) + + # Call dot_sens + results = self._dot_sens.solve(model, **kwargs) + + # Read expected files, some of which may have been created + # or overwritten by dot_sens. + for fname in known_files: + if os.path.exists(fname): + with open(fname, "r") as fp: + self.data[fname] = fp.read() + + return results + + def set_k_aug_options(self, **options): + for key, val in options.items(): + self._k_aug.options[key] = val + + def set_dot_sens_options(self, **options): + for key, val in options.items(): + self._dot_sens.options[key] = val diff --git a/pyomo/contrib/doe/kinetics_block.ipynb b/pyomo/contrib/doe/kinetics_block.ipynb new file mode 100644 index 00000000000..c8032a3edfc --- /dev/null +++ b/pyomo/contrib/doe/kinetics_block.ipynb @@ -0,0 +1,7673 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "90b0fe62", + "metadata": {}, + "outputs": [], + "source": [ + "import pyomo.environ as pyo\n", + "from pyomo.core.base.set import UnindexedComponent_set\n", + "#from farmer_example_block_robby import build_block_model\n", + "from pyomo.dae.flatten import flatten_components_along_sets\n", + "from pyomo.environ import *\n", + "from pyomo.dae import *\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "id": "23b57113", + "metadata": {}, + "source": [ + "## Analytical problem with block" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "a45628a3", + "metadata": {}, + "outputs": [], + "source": [ + "#time_an = list(np.linspace(0,1,9))\n", + "def create_model(CA_init=5, T_init=300):\n", + " '''Model for get_sensitivity, defining measurements as cosntraints\n", + " '''\n", + " # time points \n", + " timepoint = [0.0, 0.125, 0.25, 0.375, 0.5,0.625, 0.75, 0.875, 1.0]\n", + " theta_p = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}\n", + " \n", + " m= ConcreteModel()\n", + "\n", + " m.CA0 = Var(initialize=CA_init, bounds=(1.0,5.0),within=NonNegativeReals )\n", + " m.T = Var(initialize=T_init, bounds=(300,700),within=NonNegativeReals)\n", + " \n", + " m.CA0.fix()\n", + " m.T.fix()\n", + " \n", + " # Define ideal gas constant\n", + " m.R = 8.31446261815324 # J / K / mol\n", + "\n", + " ### Define sets and expressions\n", + " # timepoint\n", + " m.t = Set(initialize=timepoint)\n", + " '''\n", + " m.A1 = Var(initialize = theta_p['A1'])\n", + " m.A2 = Var(initialize = theta_p['A2'])\n", + " m.E1 = Var(initialize = theta_p['E1'])\n", + " m.E2 = Var(initialize = theta_p['E2'])\n", + " \n", + " # Concentration of A, B, and C [mol/L]\n", + " m.CA = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " m.CB = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " m.CC = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " \n", + " def k1_rule(m):\n", + " return m.k1 == m.A1*exp(-m.E1*1000/m.R/m.T)\n", + "\n", + " def k2_rule(m):\n", + " return m.k2 == m.A2 * exp(-m.E2*1000/m.R/m.T)\n", + "\n", + " m.k1 = Var(initialize=0.2, within=NonNegativeReals) # 1/hr\n", + " m.k2 = Var(initialize=0.1, within=NonNegativeReals)\n", + " \n", + " def conc_CA(m,t):\n", + " return m.CA[t] == m.CA0*exp(-m.k1*t)\n", + " def conc_CB(m,t):\n", + " return m.CB[t] == m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", + " def conc_CC(m,t):\n", + " return m.CC[t] == m.CA0 - m.CA0*exp(-m.k1*t) - m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", + "\n", + " m.k1_r = Constraint(rule=k1_rule)\n", + " m.k2_r = Constraint(rule=k2_rule)\n", + " m.rate_CA = Constraint(m.t, rule=conc_CA)\n", + " m.rate_CB = Constraint(m.t, rule=conc_CB)\n", + " m.rate_CC = Constraint(m.t, rule=conc_CC)\n", + " '''\n", + " \n", + " #m.Obj = Objective(rule=0, sense=maximize)\n", + " \n", + " return m" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "46bec9f9", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "mod_simp = create_model(CA_init=5, T_init=300)\n", + "\n", + "#solver = SolverFactory('ipopt')\n", + "#solver.options['halt_on_ampl_error'] = 'yes'\n", + "#solver.solve(mod_simp, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e58e3d23", + "metadata": {}, + "outputs": [], + "source": [ + "def construct_block(m):\n", + " \n", + " m.scena = Set(initialize=list(range(2)))\n", + " theta_pa = [{'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}, \n", + " {'A1': 84.79085853498033*1.01, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}]\n", + " \n", + " def block_build(b, s):\n", + " b.A1 = Var(initialize = theta_pa[s]['A1'])\n", + " b.A2 = Var(initialize = theta_pa[s]['A2'])\n", + " b.E1 = Var(initialize = theta_pa[s]['E1'])\n", + " b.E2 = Var(initialize = theta_pa[s]['E2'])\n", + " \n", + " b.A1.fix()\n", + " b.A2.fix()\n", + " b.E1.fix()\n", + " b.E2.fix()\n", + " \n", + " b.k1 = Var(initialize=0.2, within=NonNegativeReals) # 1/hr\n", + " b.k2 = Var(initialize=0.1, within=NonNegativeReals)\n", + " \n", + " b.CA = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " b.CB = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " b.CC = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " \n", + " m.lsb = Block(m.scena, rule=block_build)\n", + " \n", + " \n", + " def k1_rule_block(m,s):\n", + " return m.lsb[s].k1 == m.lsb[s].A1*exp(-m.lsb[s].E1*1000/m.R/m.T)\n", + "\n", + " def k2_rule_block(m,s):\n", + " return m.lsb[s].k2 == m.lsb[s].A2 * exp(-m.lsb[s].E2*1000/m.R/m.T)\n", + " \n", + " def conc_CA_block(m,s,t):\n", + " return m.lsb[s].CA[t] == m.CA0*exp(-m.lsb[s].k1*t)\n", + " def conc_CB_block(m,s,t):\n", + " return m.lsb[s].CB[t] == m.lsb[s].k1*m.CA0/(m.lsb[s].k2-m.lsb[s].k1) * (exp(-m.lsb[s].k1*t) - exp(-m.lsb[s].k2*t))\n", + " def conc_CC_block(m,s,t):\n", + " return m.lsb[s].CC[t] == m.CA0 - m.CA0*exp(-m.lsb[s].k1*t) - m.lsb[s].k1*m.CA0/(m.lsb[s].k2-m.lsb[s].k1) * (exp(-m.lsb[s].k1*t) - exp(-m.lsb[s].k2*t))\n", + "\n", + " m.k1_r_block = Constraint(m.scena,rule=k1_rule_block)\n", + " m.k2_r_block = Constraint(m.scena,rule=k2_rule_block)\n", + " m.rate_CA_block = Constraint(m.scena,m.t, rule=conc_CA_block)\n", + " m.rate_CB_block = Constraint(m.scena,m.t, rule=conc_CB_block)\n", + " m.rate_CC_block = Constraint(m.scena,m.t, rule=conc_CC_block)\n", + " \n", + " return m" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "04fdae0f", + "metadata": {}, + "outputs": [], + "source": [ + "mod_simp_bl = construct_block(mod_simp)\n", + "\n", + "#solver = SolverFactory('ipopt')\n", + "#solver.options['halt_on_ampl_error'] = 'yes'\n", + "#solver.solve(mod_simp, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "343c73e7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "i is: 0\n", + "sets is: (,)\n", + "vars is: [, ]\n", + "i is: 1\n", + "sets is: (,)\n", + "vars is: [, , , , , ]\n", + "i is: 2\n", + "sets is: (, )\n", + "vars is: [, , ]\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 138\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 6\n", + "\n", + "Total number of variables............................: 58\n", + " variables with only lower bounds: 58\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 58\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 4.50e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 4.30e+00 4.85e+00 -1.0 1.39e+01 - 3.45e-02 4.46e-02h 1\n", + " 2 0.0000000e+00 4.30e+00 3.00e+02 -1.0 1.08e+01 - 1.01e-01 5.84e-04h 1\n", + " 3r 0.0000000e+00 4.30e+00 9.99e+02 0.6 0.00e+00 - 0.00e+00 3.66e-07R 5\n", + " 4r 0.0000000e+00 2.95e+00 9.96e+02 0.6 7.39e+02 - 6.59e-04 3.46e-03f 1\n", + " 5r 0.0000000e+00 2.23e+00 9.94e+02 0.6 5.90e+02 - 4.43e-03 1.81e-03f 1\n", + " 6r 0.0000000e+00 2.13e+00 9.92e+02 0.6 3.50e+02 - 4.29e-03 8.55e-04f 1\n", + " 7r 0.0000000e+00 2.13e+00 9.86e+02 0.6 2.80e+02 - 4.65e-03 6.26e-03f 1\n", + " 8r 0.0000000e+00 2.12e+00 9.81e+02 0.6 3.39e+01 - 1.13e-02 5.24e-03f 1\n", + " 9r 0.0000000e+00 2.11e+00 1.03e+03 0.6 1.78e+01 - 9.24e-01 9.35e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.14e+00 4.72e+02 0.6 1.24e+00 - 3.22e-01 7.80e-01f 1\n", + " 11r 0.0000000e+00 1.08e+00 9.16e+02 0.6 1.98e+00 2.0 9.06e-01 5.75e-02f 1\n", + " 12r 0.0000000e+00 9.19e-01 4.61e+02 0.6 6.87e+00 - 2.06e-03 8.00e-02f 1\n", + " 13r 0.0000000e+00 9.04e-01 7.43e+02 0.6 2.02e+00 - 2.32e-01 1.24e-02f 1\n", + " 14r 0.0000000e+00 4.67e-01 6.83e+02 0.6 1.99e+01 1.5 8.99e-04 2.58e-02f 1\n", + " 15r 0.0000000e+00 4.29e-01 7.93e+02 0.6 1.76e+00 - 7.32e-02 2.28e-02f 1\n", + " 16r 0.0000000e+00 3.68e-01 7.12e+02 0.6 4.72e+00 1.9 4.53e-01 9.05e-02f 1\n", + " 17r 0.0000000e+00 3.58e-01 6.54e+02 0.6 8.45e+00 1.5 4.18e-03 2.72e-02f 1\n", + " 18r 0.0000000e+00 3.03e-01 5.38e+02 0.6 4.32e-01 - 3.55e-01 1.54e-01f 1\n", + " 19r 0.0000000e+00 3.02e-01 3.75e+02 0.6 3.63e-01 - 6.07e-02 3.28e-03h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 2.88e-01 3.31e+02 0.6 3.61e-01 - 1.20e-01 1.09e-01f 1\n", + " 21r 0.0000000e+00 1.85e-01 2.32e+02 0.6 3.24e-01 - 1.38e-01 3.67e-01f 1\n", + " 22r 0.0000000e+00 1.85e-01 6.58e+02 -0.1 2.09e-01 - 1.25e-01 7.15e-03f 1\n", + " 23r 0.0000000e+00 1.78e-01 5.85e+02 -0.1 2.08e-01 - 3.40e-02 8.86e-02f 1\n", + " 24r 0.0000000e+00 1.78e-01 6.42e+02 -0.1 1.85e-01 - 3.64e-02 4.17e-03h 1\n", + " 25r 0.0000000e+00 1.15e-01 3.84e+02 -0.1 1.89e-01 - 4.65e-02 3.53e-01f 1\n", + " 26r 0.0000000e+00 1.14e-01 7.62e+02 -0.1 1.21e-01 - 9.10e-02 8.77e-03h 1\n", + " 27r 0.0000000e+00 1.10e-01 7.04e+02 -0.1 1.18e-01 - 1.47e-01 8.15e-02f 1\n", + " 28r 0.0000000e+00 1.09e-01 6.94e+02 -0.1 1.05e-01 - 3.34e-02 1.17e-02h 1\n", + " 29r 0.0000000e+00 1.46e-03 6.68e+01 -0.1 1.09e-01 - 4.64e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.49e-03 1.91e-03 -0.1 4.83e-04 - 1.00e+00 1.00e+00f 1\n", + " 31r 0.0000000e+00 2.12e-05 3.64e+00 -2.2 2.02e-03 - 1.00e+00 9.93e-01f 1\n", + " 32r 0.0000000e+00 1.10e-05 1.52e-05 -2.2 1.42e-05 - 1.00e+00 1.00e+00f 1\n", + " 33r 0.0000000e+00 1.32e-08 3.28e-01 -4.9 1.50e-05 - 1.00e+00 1.00e+00f 1\n", + " 34r 0.0000000e+00 1.41e-08 1.92e-10 -4.9 9.89e-10 - 1.00e+00 1.00e+00h 1\n", + " 35r 0.0000000e+00 1.72e-09 1.62e+01 -7.4 2.61e-08 - 1.00e+00 8.41e-01f 1\n", + "\n", + "Number of Iterations....: 35\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.7152812242651988e-09 1.7152812242651988e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.7152812242651988e-09 1.7152812242651988e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 41\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 41\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 37\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 35\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.019\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + } + ], + "source": [ + "mod_simp_bl, mod_flatten = all_sets(mod_simp_bl)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "803a44c2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model unknown\n", + "\n", + " Variables:\n", + " unindexed_vars : Size=2, Index=unindexed_vars_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 1.0 : 5 : 5.0 : True : True : NonNegativeReals\n", + " 1 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " var_1_0 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 84.79085853498033 : None : True : True : Reals\n", + " 1 : None : 85.63876712033013 : None : True : True : Reals\n", + " var_1_1 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 371.71773413976416 : None : True : True : Reals\n", + " 1 : None : 371.71773413976416 : None : True : True : Reals\n", + " var_1_2 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 7.777032028026428 : None : True : True : Reals\n", + " 1 : None : 7.777032028026428 : None : True : True : Reals\n", + " var_1_3 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 15.047135137500822 : None : True : True : Reals\n", + " 1 : None : 15.047135137500822 : None : True : True : Reals\n", + " var_1_4 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.752095732387425 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897112997 : None : False : False : NonNegativeReals\n", + " var_1_5 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 0.8919191302047642 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 0.8919191302047635 : None : False : False : NonNegativeReals\n", + " var_2_0 : Size=18, Index=var_2_0_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " (0, 0.0) : 0 : 4.999999999999946 : None : False : False : NonNegativeReals\n", + " (0, 0.125) : 0 : 3.128100482991634 : None : False : False : NonNegativeReals\n", + " (0, 0.25) : 0 : 1.95700252633852 : None : False : False : NonNegativeReals\n", + " (0, 0.375) : 0 : 1.224340109571088 : None : False : False : NonNegativeReals\n", + " (0, 0.5) : 0 : 0.7659717776190784 : None : False : False : NonNegativeReals\n", + " (0, 0.625) : 0 : 0.4792073375056451 : None : False : False : NonNegativeReals\n", + " (0, 0.75) : 0 : 0.2998017407809114 : None : False : False : NonNegativeReals\n", + " (0, 0.875) : 0 : 0.18756199402770146 : None : False : False : NonNegativeReals\n", + " (0, 1.0) : 0 : 0.11734255282178507 : None : False : False : NonNegativeReals\n", + " (1, 0.0) : 0 : 4.999999999999946 : None : False : False : NonNegativeReals\n", + " (1, 0.125) : 0 : 3.1134636684373964 : None : False : False : NonNegativeReals\n", + " (1, 0.25) : 0 : 1.9387312029359514 : None : False : False : NonNegativeReals\n", + " (1, 0.375) : 0 : 1.207233832641416 : None : False : False : NonNegativeReals\n", + " (1, 0.5) : 0 : 0.7517357354475046 : None : False : False : NonNegativeReals\n", + " (1, 0.625) : 0 : 0.46810038011637933 : None : False : False : NonNegativeReals\n", + " (1, 0.75) : 0 : 0.291482705334819 : None : False : False : NonNegativeReals\n", + " (1, 0.875) : 0 : 0.1815041626075615 : None : False : False : NonNegativeReals\n", + " (1, 1.0) : 0 : 0.11302132318975884 : None : False : False : NonNegativeReals\n", + " var_2_1 : Size=18, Index=var_2_1_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " (0, 0.0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " (0, 0.125) : 0 : 1.7636406861672753 : None : False : False : NonNegativeReals\n", + " (0, 0.25) : 0 : 2.68094641496404 : None : False : False : NonNegativeReals\n", + " (0, 0.375) : 0 : 3.0883975863629596 : None : False : False : NonNegativeReals\n", + " (0, 0.5) : 0 : 3.1944321863692715 : None : False : False : NonNegativeReals\n", + " (0, 0.625) : 0 : 3.1276007741569702 : None : False : False : NonNegativeReals\n", + " (0, 0.75) : 0 : 2.966670160167895 : None : False : False : NonNegativeReals\n", + " (0, 0.875) : 0 : 2.7594362542306192 : None : False : False : NonNegativeReals\n", + " (0, 1.0) : 0 : 2.5344753187139895 : None : False : False : NonNegativeReals\n", + " (1, 0.0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " (1, 0.125) : 0 : 1.7773542181128636 : None : False : False : NonNegativeReals\n", + " (1, 0.25) : 0 : 2.696589675598736 : None : False : False : NonNegativeReals\n", + " (1, 0.375) : 0 : 3.1012630503723586 : None : False : False : NonNegativeReals\n", + " (1, 0.5) : 0 : 3.2032175722538914 : None : False : False : NonNegativeReals\n", + " (1, 0.625) : 0 : 3.1324996434080297 : None : False : False : NonNegativeReals\n", + " (1, 0.75) : 0 : 2.9684183263502426 : None : False : False : NonNegativeReals\n", + " (1, 0.875) : 0 : 2.7588650832405217 : None : False : False : NonNegativeReals\n", + " (1, 1.0) : 0 : 2.5323254510496134 : None : False : False : NonNegativeReals\n", + " var_2_2 : Size=18, Index=var_2_2_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " (0, 0.0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " (0, 0.125) : 0 : 0.10825883084104697 : None : False : False : NonNegativeReals\n", + " (0, 0.25) : 0 : 0.3620510586973974 : None : False : False : NonNegativeReals\n", + " (0, 0.375) : 0 : 0.6872623040659099 : None : False : False : NonNegativeReals\n", + " (0, 0.5) : 0 : 1.0395960360116079 : None : False : False : NonNegativeReals\n", + " (0, 0.625) : 0 : 1.393191888337342 : None : False : False : NonNegativeReals\n", + " (0, 0.75) : 0 : 1.7335280990511501 : None : False : False : NonNegativeReals\n", + " (0, 0.875) : 0 : 2.0530017517416375 : None : False : False : NonNegativeReals\n", + " (0, 1.0) : 0 : 2.3481821284641833 : None : False : False : NonNegativeReals\n", + " (1, 0.0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " (1, 0.125) : 0 : 0.10918211344969626 : None : False : False : NonNegativeReals\n", + " (1, 0.25) : 0 : 0.36467912146527004 : None : False : False : NonNegativeReals\n", + " (1, 0.375) : 0 : 0.6915031169861835 : None : False : False : NonNegativeReals\n", + " (1, 0.5) : 0 : 1.0450466922985613 : None : False : False : NonNegativeReals\n", + " (1, 0.625) : 0 : 1.3993999764755483 : None : False : False : NonNegativeReals\n", + " (1, 0.75) : 0 : 1.740098968314896 : None : False : False : NonNegativeReals\n", + " (1, 0.875) : 0 : 2.0596307541518755 : None : False : False : NonNegativeReals\n", + " (1, 1.0) : 0 : 2.3546532257605866 : None : False : False : NonNegativeReals\n", + "\n", + " Objectives:\n", + " None\n", + "\n", + " Constraints:\n", + " con_0_0 : Size=2\n", + " Key : Lower : Body : Upper\n", + " 0 : 0.0 : -6.394884621840902e-14 : 0.0\n", + " 1 : 0.0 : -6.439293542825908e-14 : 0.0\n", + " con_0_1 : Size=2\n", + " Key : Lower : Body : Upper\n", + " 0 : 0.0 : 6.461498003318411e-14 : 0.0\n", + " 1 : 0.0 : 6.394884621840902e-14 : 0.0\n", + " con_1_0 : Size=18\n", + " Key : Lower : Body : Upper\n", + " (0, 0.0) : 0.0 : 5.417888360170764e-14 : 0.0\n", + " (0, 0.125) : 0.0 : -3.197442310920451e-14 : 0.0\n", + " (0, 0.25) : 0.0 : -1.84297022087776e-14 : 0.0\n", + " (0, 0.375) : 0.0 : -1.021405182655144e-14 : 0.0\n", + " (0, 0.5) : 0.0 : -5.88418203051333e-15 : 0.0\n", + " (0, 0.625) : 0.0 : -3.4416913763379853e-15 : 0.0\n", + " (0, 0.75) : 0.0 : -2.3869795029440866e-15 : 0.0\n", + " (0, 0.875) : 0.0 : -2.248201624865942e-15 : 0.0\n", + " (0, 1.0) : 0.0 : -2.9282132274488504e-15 : 0.0\n", + " (1, 0.0) : 0.0 : 5.417888360170764e-14 : 0.0\n", + " (1, 0.125) : 0.0 : -3.197442310920451e-14 : 0.0\n", + " (1, 0.25) : 0.0 : -1.8207657603852567e-14 : 0.0\n", + " (1, 0.375) : 0.0 : -1.0436096431476471e-14 : 0.0\n", + " (1, 0.5) : 0.0 : -5.662137425588298e-15 : 0.0\n", + " (1, 0.625) : 0.0 : -3.3306690738754696e-15 : 0.0\n", + " (1, 0.75) : 0.0 : -2.4980018054066022e-15 : 0.0\n", + " (1, 0.875) : 0.0 : -2.3037127760972e-15 : 0.0\n", + " (1, 1.0) : 0.0 : -2.9976021664879227e-15 : 0.0\n", + " con_1_1 : Size=18\n", + " Key : Lower : Body : Upper\n", + " (0, 0.0) : 0.0 : 0.0 : 0.0\n", + " (0, 0.125) : 0.0 : -1.3988810110276972e-14 : 0.0\n", + " (0, 0.25) : 0.0 : -2.398081733190338e-14 : 0.0\n", + " (0, 0.375) : 0.0 : -2.930988785010413e-14 : 0.0\n", + " (0, 0.5) : 0.0 : -2.886579864025407e-14 : 0.0\n", + " (0, 0.625) : 0.0 : -2.7533531010703882e-14 : 0.0\n", + " (0, 0.75) : 0.0 : -2.4424906541753444e-14 : 0.0\n", + " (0, 0.875) : 0.0 : -1.9984014443252818e-14 : 0.0\n", + " (0, 1.0) : 0.0 : -1.509903313490213e-14 : 0.0\n", + " (1, 0.0) : 0.0 : 0.0 : 0.0\n", + " (1, 0.125) : 0.0 : -1.4876988529977098e-14 : 0.0\n", + " (1, 0.25) : 0.0 : -2.5757174171303632e-14 : 0.0\n", + " (1, 0.375) : 0.0 : -2.930988785010413e-14 : 0.0\n", + " (1, 0.5) : 0.0 : -2.9753977059954195e-14 : 0.0\n", + " (1, 0.625) : 0.0 : -2.7533531010703882e-14 : 0.0\n", + " (1, 0.75) : 0.0 : -2.4868995751603507e-14 : 0.0\n", + " (1, 0.875) : 0.0 : -2.0872192862952943e-14 : 0.0\n", + " (1, 1.0) : 0.0 : -1.6431300764452317e-14 : 0.0\n", + " con_1_2 : Size=18\n", + " Key : Lower : Body : Upper\n", + " (0, 0.0) : 0.0 : 0.0 : 0.0\n", + " (0, 0.125) : 0.0 : 2.373101715136272e-15 : 0.0\n", + " (0, 0.25) : 0.0 : -3.3306690738754696e-16 : 0.0\n", + " (0, 0.375) : 0.0 : -2.9976021664879227e-15 : 0.0\n", + " (0, 0.5) : 0.0 : -7.549516567451064e-15 : 0.0\n", + " (0, 0.625) : 0.0 : -1.1324274851176597e-14 : 0.0\n", + " (0, 0.75) : 0.0 : -1.687538997430238e-14 : 0.0\n", + " (0, 0.875) : 0.0 : -1.9984014443252818e-14 : 0.0\n", + " (0, 1.0) : 0.0 : -2.398081733190338e-14 : 0.0\n", + " (1, 0.0) : 0.0 : 0.0 : 0.0\n", + " (1, 0.125) : 0.0 : 3.1780134079895106e-15 : 0.0\n", + " (1, 0.25) : 0.0 : 1.3322676295501878e-15 : 0.0\n", + " (1, 0.375) : 0.0 : -2.1094237467877974e-15 : 0.0\n", + " (1, 0.5) : 0.0 : -7.549516567451064e-15 : 0.0\n", + " (1, 0.625) : 0.0 : -1.199040866595169e-14 : 0.0\n", + " (1, 0.75) : 0.0 : -1.4654943925052066e-14 : 0.0\n", + " (1, 0.875) : 0.0 : -1.7763568394002505e-14 : 0.0\n", + " (1, 1.0) : 0.0 : -2.1760371282653068e-14 : 0.0\n" + ] + } + ], + "source": [ + "display(mod_flatten)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8591246d", + "metadata": {}, + "outputs": [], + "source": [ + "def all_sets(m):\n", + "\n", + " # It makes sense to build the flattened model ahead of time\n", + " # in this case, so we don't need to know what \"set combinations\"\n", + " # we're looking for a priori\n", + " flattened_model = pyo.ConcreteModel()\n", + "\n", + " sets = tuple(m.component_data_objects(pyo.Set))\n", + " # This partitions model components according to how they are indexed\n", + " sets_list, vars_list = flatten_components_along_sets(\n", + " m,\n", + " sets,\n", + " pyo.Var,\n", + " )\n", + " for i, (sets, vars) in enumerate(zip(sets_list, vars_list)):\n", + " print('i is:', i)\n", + " print('sets is:', sets)\n", + " print('vars is:', vars)\n", + " if len(sets) == 1 and sets[0] is UnindexedComponent_set:\n", + " flattened_model.unindexed_vars = pyo.Reference(vars)\n", + " else:\n", + " for j, var in enumerate(vars):\n", + " flattened_model.add_component(\"var_%s_%s\" % (i, j), var)\n", + "\n", + " sets_list, cons_list = flatten_components_along_sets(\n", + " m,\n", + " sets,\n", + " pyo.Constraint,\n", + " )\n", + " for i, (sets, cons) in enumerate(zip(sets_list, cons_list)):\n", + " if len(sets) == 1 and sets[0] is UnindexedComponent_set:\n", + " flattened_model.unindexed_constraints = pyo.Reference(cons)\n", + " else:\n", + " for j, con in enumerate(cons):\n", + " flattened_model.add_component(\"con_%s_%s\" % (i, j), con)\n", + "\n", + " #flattened_model.obj = pyo.Reference(m.OBJ)\n", + "\n", + " solver = pyo.SolverFactory(\"ipopt\")\n", + " solver.solve(flattened_model, tee=True)\n", + " \n", + " return m, flattened_model\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "dc9623c7", + "metadata": {}, + "source": [ + "## Analytical problem, with indexed T" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "8785e059", + "metadata": {}, + "outputs": [], + "source": [ + "#time_an = list(np.linspace(0,1,9))\n", + "def create_model2(CA_init=5, T_init=300):\n", + " '''Model for get_sensitivity, defining measurements as cosntraints\n", + " '''\n", + " # time points \n", + " timepoint = [0.0, 0.125, 0.25, 0.375, 0.5,0.625, 0.75, 0.875, 1.0]\n", + " theta_p = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}\n", + " \n", + " m= ConcreteModel()\n", + " \n", + " m.t = Set(initialize=timepoint)\n", + "\n", + " m.CA0 = Var(initialize=CA_init, bounds=(1.0,5.0),within=NonNegativeReals )\n", + " m.T = Var(m.t, initialize=T_init, bounds=(300,700),within=NonNegativeReals)\n", + " \n", + " m.CA0.fix()\n", + " m.T.fix()\n", + " \n", + " # Define ideal gas constant\n", + " m.R = 8.31446261815324 # J / K / mol\n", + "\n", + " ### Define sets and expressions\n", + " # timepoint\n", + " m.t = Set(initialize=timepoint)\n", + " '''\n", + " m.A1 = Var(initialize = theta_p['A1'])\n", + " m.A2 = Var(initialize = theta_p['A2'])\n", + " m.E1 = Var(initialize = theta_p['E1'])\n", + " m.E2 = Var(initialize = theta_p['E2'])\n", + " \n", + " # Concentration of A, B, and C [mol/L]\n", + " m.CA = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " m.CB = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " m.CC = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " \n", + " def k1_rule(m):\n", + " return m.k1 == m.A1*exp(-m.E1*1000/m.R/m.T)\n", + "\n", + " def k2_rule(m):\n", + " return m.k2 == m.A2 * exp(-m.E2*1000/m.R/m.T)\n", + "\n", + " m.k1 = Var(initialize=0.2, within=NonNegativeReals) # 1/hr\n", + " m.k2 = Var(initialize=0.1, within=NonNegativeReals)\n", + " \n", + " def conc_CA(m,t):\n", + " return m.CA[t] == m.CA0*exp(-m.k1*t)\n", + " def conc_CB(m,t):\n", + " return m.CB[t] == m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", + " def conc_CC(m,t):\n", + " return m.CC[t] == m.CA0 - m.CA0*exp(-m.k1*t) - m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", + "\n", + " m.k1_r = Constraint(rule=k1_rule)\n", + " m.k2_r = Constraint(rule=k2_rule)\n", + " m.rate_CA = Constraint(m.t, rule=conc_CA)\n", + " m.rate_CB = Constraint(m.t, rule=conc_CB)\n", + " m.rate_CC = Constraint(m.t, rule=conc_CC)\n", + " '''\n", + " \n", + " #m.Obj = Objective(rule=0, sense=maximize)\n", + " \n", + " return m" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "df1e8eb1", + "metadata": {}, + "outputs": [], + "source": [ + "def construct_block2(m):\n", + " \n", + " m.scena = Set(initialize=list(range(2)))\n", + " theta_pa = [{'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}, \n", + " {'A1': 84.79085853498033*1.01, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}]\n", + " \n", + " def block_build(b, s):\n", + " b.A1 = Var(initialize = theta_pa[s]['A1'])\n", + " b.A2 = Var(initialize = theta_pa[s]['A2'])\n", + " b.E1 = Var(initialize = theta_pa[s]['E1'])\n", + " b.E2 = Var(initialize = theta_pa[s]['E2'])\n", + " \n", + " b.A1.fix()\n", + " b.A2.fix()\n", + " b.E1.fix()\n", + " b.E2.fix()\n", + " \n", + " b.k1 = Var(m.t, initialize=0.2, within=NonNegativeReals) # 1/hr\n", + " b.k2 = Var(m.t, initialize=0.1, within=NonNegativeReals)\n", + " \n", + " b.CA = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " b.CB = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " b.CC = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " \n", + " m.lsb = Block(m.scena, rule=block_build)\n", + " \n", + " \n", + " def k1_rule_block(m,s,t):\n", + " return m.lsb[s].k1[t] == m.lsb[s].A1*exp(-m.lsb[s].E1*1000/m.R/m.T[t])\n", + "\n", + " def k2_rule_block(m,s,t):\n", + " return m.lsb[s].k2[t] == m.lsb[s].A2 * exp(-m.lsb[s].E2*1000/m.R/m.T[t])\n", + " \n", + " def conc_CA_block(m,s,t):\n", + " return m.lsb[s].CA[t] == m.CA0*exp(-m.lsb[s].k1[t]*t)\n", + " def conc_CB_block(m,s,t):\n", + " return m.lsb[s].CB[t] == m.lsb[s].k1[t]*m.CA0/(m.lsb[s].k2[t]-m.lsb[s].k1[t]) * (exp(-m.lsb[s].k1[t]*t) - exp(-m.lsb[s].k2[t]*t))\n", + " def conc_CC_block(m,s,t):\n", + " return m.lsb[s].CC[t] == m.CA0 - m.CA0*exp(-m.lsb[s].k1[t]*t) - m.lsb[s].k1[t]*m.CA0/(m.lsb[s].k2[t]-m.lsb[s].k1[t]) * (exp(-m.lsb[s].k1[t]*t) - exp(-m.lsb[s].k2[t]*t))\n", + "\n", + " m.k1_r_block = Constraint(m.scena,m.t,rule=k1_rule_block)\n", + " m.k2_r_block = Constraint(m.scena,m.t,rule=k2_rule_block)\n", + " m.rate_CA_block = Constraint(m.scena,m.t, rule=conc_CA_block)\n", + " m.rate_CB_block = Constraint(m.scena,m.t, rule=conc_CB_block)\n", + " m.rate_CC_block = Constraint(m.scena,m.t, rule=conc_CC_block)\n", + " \n", + " return m" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "023c4ac1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WARNING: Implicitly replacing the Component attribute t (type=) on block unknown with a new\n", + " Component (type=).\n", + " This is usually indicative of a modelling error. To avoid this warning,\n", + " use block.del_component() and block.add_component().\n", + "i is: 0\n", + "sets is: (,)\n", + "vars is: [, , , , , , , , , ]\n", + "i is: 1\n", + "sets is: (,)\n", + "vars is: [, , , ]\n", + "i is: 2\n", + "sets is: (, )\n", + "vars is: [, , , , ]\n", + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 170\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 48\n", + "\n", + "Total number of variables............................: 90\n", + " variables with only lower bounds: 90\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 90\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 4.50e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 4.30e+00 2.55e+00 -1.0 1.39e+01 - 3.45e-02 4.46e-02f 1\n", + " 2 0.0000000e+00 4.30e+00 3.00e+02 -1.0 1.08e+01 - 1.01e-01 5.84e-04h 1\n", + " 3r 0.0000000e+00 4.30e+00 9.99e+02 0.6 0.00e+00 - 0.00e+00 3.66e-07R 5\n", + " 4r 0.0000000e+00 2.44e+00 9.95e+02 0.6 6.69e+02 - 1.17e-03 5.15e-03f 1\n", + " 5r 0.0000000e+00 2.41e+00 9.93e+02 0.6 4.12e+02 - 5.42e-03 9.57e-04f 1\n", + " 6r 0.0000000e+00 2.41e+00 9.89e+02 0.6 3.13e+02 - 2.05e-02 3.73e-03f 1\n", + " 7r 0.0000000e+00 2.40e+00 1.03e+03 0.6 7.96e+01 - 9.29e-01 9.07e-03f 1\n", + " 8r 0.0000000e+00 2.16e+00 7.44e+02 0.6 1.82e+00 - 7.56e-02 2.41e-01f 1\n", + " 9r 0.0000000e+00 2.01e+00 1.57e+03 0.6 3.75e+00 2.0 2.50e-02 1.44e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.89e+00 1.38e+03 0.6 1.41e+00 2.4 1.92e-01 1.22e-01f 1\n", + " 11r 0.0000000e+00 1.77e+00 1.23e+03 0.6 5.57e+00 1.9 1.62e-01 1.12e-01f 1\n", + " 12r 0.0000000e+00 1.73e+00 1.19e+03 0.6 1.85e+00 2.4 8.08e-02 4.13e-02f 1\n", + " 13r 0.0000000e+00 1.72e+00 1.18e+03 0.6 1.55e+02 1.9 5.40e-04 8.04e-03f 1\n", + " 14r 0.0000000e+00 1.69e+00 1.15e+03 0.6 2.68e+00 2.3 4.74e-02 2.17e-02f 1\n", + " 15r 0.0000000e+00 1.45e+00 9.22e+02 0.6 9.30e-01 2.7 1.77e-01 2.60e-01f 1\n", + " 16r 0.0000000e+00 1.31e+00 8.06e+02 0.6 2.80e+00 2.3 2.36e-01 1.36e-01f 1\n", + " 17r 0.0000000e+00 1.06e+00 6.53e+02 0.6 1.08e+00 2.7 1.00e+00 2.33e-01f 1\n", + " 18r 0.0000000e+00 1.02e+00 6.33e+02 0.6 1.41e+00 - 8.73e-02 3.14e-02f 1\n", + " 19r 0.0000000e+00 9.03e-01 5.87e+02 0.6 1.62e+00 - 1.03e-01 7.23e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.51e-01 5.36e+02 0.6 6.72e+00 2.2 2.97e-02 1.33e-01f 1\n", + " 21r 0.0000000e+00 3.48e-01 5.10e+02 0.6 1.37e+01 1.7 2.79e-01 7.90e-03f 1\n", + " 22r 0.0000000e+00 2.36e-01 3.46e+02 0.6 4.23e-01 - 1.00e+00 3.21e-01f 1\n", + " 23r 0.0000000e+00 2.17e-01 3.19e+02 0.6 2.47e-01 - 7.27e-02 7.77e-02f 1\n", + " 24r 0.0000000e+00 2.00e-01 4.74e+02 0.6 2.28e-01 - 2.50e-01 8.08e-02f 1\n", + " 25r 0.0000000e+00 1.22e-01 2.82e+02 0.6 2.10e-01 - 4.25e-01 3.88e-01f 1\n", + " 26r 0.0000000e+00 1.20e-01 6.69e+02 0.6 1.28e-01 - 6.92e-02 1.87e-02h 1\n", + " 27r 0.0000000e+00 1.08e-01 6.95e+02 0.6 1.26e-01 - 4.71e-01 1.08e-01f 1\n", + " 28r 0.0000000e+00 7.32e-03 1.49e+03 0.6 1.12e-01 - 1.70e-01 1.00e+00f 1\n", + " 29r 0.0000000e+00 7.46e-03 2.51e-01 0.6 2.57e-03 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.65e-04 8.08e+00 -1.5 1.01e-02 - 9.98e-01 9.59e-01f 1\n", + " 31r 0.0000000e+00 5.92e-05 7.96e-05 -1.5 4.17e-04 - 1.00e+00 1.00e+00f 1\n", + " 32r 0.0000000e+00 8.75e-07 7.00e-01 -3.3 7.98e-05 - 1.00e+00 1.00e+00f 1\n", + " 33r 0.0000000e+00 8.75e-07 5.53e-09 -3.3 2.18e-08 - 1.00e+00 1.00e+00h 1\n", + " 34r 0.0000000e+00 2.11e-09 9.61e-02 -7.4 1.20e-06 - 1.00e+00 9.95e-01f 1\n", + "\n", + "Number of Iterations....: 34\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.1051654495869245e-09 2.1051654495869245e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.1051654495869245e-09 2.1051654495869245e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 40\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 40\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 36\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 34\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.021\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + } + ], + "source": [ + "model2 = create_model2()\n", + "model2_block = construct_block2(model2)\n", + "model2_block, model2_flatten = all_sets(model2_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "b3655b87", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model unknown\n", + "\n", + " Variables:\n", + " unindexed_vars : Size=10, Index=unindexed_vars_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 1.0 : 5 : 5.0 : True : True : NonNegativeReals\n", + " 1 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 2 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 3 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 4 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 5 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 6 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 7 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 8 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 9 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " var_1_0 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 84.79085853498033 : None : True : True : Reals\n", + " 1 : None : 85.63876712033013 : None : True : True : Reals\n", + " var_1_1 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 371.71773413976416 : None : True : True : Reals\n", + " 1 : None : 371.71773413976416 : None : True : True : Reals\n", + " var_1_2 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 7.777032028026428 : None : True : True : Reals\n", + " 1 : None : 7.777032028026428 : None : True : True : Reals\n", + " var_1_3 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 15.047135137500822 : None : True : True : Reals\n", + " 1 : None : 15.047135137500822 : None : True : True : Reals\n", + " var_2_0 : Size=18, Index=var_2_0_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " (0, 0.0) : 0 : 3.7520957323869513 : None : False : False : NonNegativeReals\n", + " (0, 0.125) : 0 : 3.7520957323868585 : None : False : False : NonNegativeReals\n", + " (0, 0.25) : 0 : 3.7520957323868855 : None : False : False : NonNegativeReals\n", + " (0, 0.375) : 0 : 3.752095732386948 : None : False : False : NonNegativeReals\n", + " (0, 0.5) : 0 : 3.7520957323870427 : None : False : False : NonNegativeReals\n", + " (0, 0.625) : 0 : 3.752095732387145 : None : False : False : NonNegativeReals\n", + " (0, 0.75) : 0 : 3.752095732387242 : None : False : False : NonNegativeReals\n", + " (0, 0.875) : 0 : 3.75209573238733 : None : False : False : NonNegativeReals\n", + " (0, 1.0) : 0 : 3.75209573238741 : None : False : False : NonNegativeReals\n", + " (1, 0.0) : 0 : 3.789616689710823 : None : False : False : NonNegativeReals\n", + " (1, 0.125) : 0 : 3.7896166897107317 : None : False : False : NonNegativeReals\n", + " (1, 0.25) : 0 : 3.789616689710759 : None : False : False : NonNegativeReals\n", + " (1, 0.375) : 0 : 3.7896166897108223 : None : False : False : NonNegativeReals\n", + " (1, 0.5) : 0 : 3.7896166897109174 : None : False : False : NonNegativeReals\n", + " (1, 0.625) : 0 : 3.78961668971102 : None : False : False : NonNegativeReals\n", + " (1, 0.75) : 0 : 3.7896166897111168 : None : False : False : NonNegativeReals\n", + " (1, 0.875) : 0 : 3.7896166897112047 : None : False : False : NonNegativeReals\n", + " (1, 1.0) : 0 : 3.7896166897112837 : None : False : False : NonNegativeReals\n", + " var_2_1 : Size=18, Index=var_2_1_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " (0, 0.0) : 0 : 0.8919191302040352 : None : False : False : NonNegativeReals\n", + " (0, 0.125) : 0 : 0.8919191302035377 : None : False : False : NonNegativeReals\n", + " (0, 0.25) : 0 : 0.8919191302036703 : None : False : False : NonNegativeReals\n", + " (0, 0.375) : 0 : 0.8919191302038109 : None : False : False : NonNegativeReals\n", + " (0, 0.5) : 0 : 0.8919191302039168 : None : False : False : NonNegativeReals\n", + " (0, 0.625) : 0 : 0.8919191302039728 : None : False : False : NonNegativeReals\n", + " (0, 0.75) : 0 : 0.8919191302039833 : None : False : False : NonNegativeReals\n", + " (0, 0.875) : 0 : 0.8919191302039416 : None : False : False : NonNegativeReals\n", + " (0, 1.0) : 0 : 0.8919191302038875 : None : False : False : NonNegativeReals\n", + " (1, 0.0) : 0 : 0.8919191302040352 : None : False : False : NonNegativeReals\n", + " (1, 0.125) : 0 : 0.8919191302035382 : None : False : False : NonNegativeReals\n", + " (1, 0.25) : 0 : 0.8919191302036716 : None : False : False : NonNegativeReals\n", + " (1, 0.375) : 0 : 0.8919191302038126 : None : False : False : NonNegativeReals\n", + " (1, 0.5) : 0 : 0.8919191302039182 : None : False : False : NonNegativeReals\n", + " (1, 0.625) : 0 : 0.8919191302039735 : None : False : False : NonNegativeReals\n", + " (1, 0.75) : 0 : 0.8919191302039826 : None : False : False : NonNegativeReals\n", + " (1, 0.875) : 0 : 0.8919191302039385 : None : False : False : NonNegativeReals\n", + " (1, 1.0) : 0 : 0.891919130203884 : None : False : False : NonNegativeReals\n", + " var_2_2 : Size=18, Index=var_2_2_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " (0, 0.0) : 0 : 4.999999999999392 : None : False : False : NonNegativeReals\n", + " (0, 0.125) : 0 : 3.1281004829914254 : None : False : False : NonNegativeReals\n", + " (0, 0.25) : 0 : 1.957002526338369 : None : False : False : NonNegativeReals\n", + " (0, 0.375) : 0 : 1.2243401095708026 : None : False : False : NonNegativeReals\n", + " (0, 0.5) : 0 : 0.7659717776185093 : None : False : False : NonNegativeReals\n", + " (0, 0.625) : 0 : 0.47920733750463423 : None : False : False : NonNegativeReals\n", + " (0, 0.75) : 0 : 0.29980174077922866 : None : False : False : NonNegativeReals\n", + " (0, 0.875) : 0 : 0.1875619940249746 : None : False : False : NonNegativeReals\n", + " (0, 1.0) : 0 : 0.11734255281740995 : None : False : False : NonNegativeReals\n", + " (1, 0.0) : 0 : 4.999999999999392 : None : False : False : NonNegativeReals\n", + " (1, 0.125) : 0 : 3.1134636684371877 : None : False : False : NonNegativeReals\n", + " (1, 0.25) : 0 : 1.938731202935798 : None : False : False : NonNegativeReals\n", + " (1, 0.375) : 0 : 1.2072338326411236 : None : False : False : NonNegativeReals\n", + " (1, 0.5) : 0 : 0.751735735446921 : None : False : False : NonNegativeReals\n", + " (1, 0.625) : 0 : 0.46810038011534183 : None : False : False : NonNegativeReals\n", + " (1, 0.75) : 0 : 0.2914827053330868 : None : False : False : NonNegativeReals\n", + " (1, 0.875) : 0 : 0.181504162604743 : None : False : False : NonNegativeReals\n", + " (1, 1.0) : 0 : 0.11302132318521657 : None : False : False : NonNegativeReals\n", + " var_2_3 : Size=18, Index=var_2_3_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " (0, 0.0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " (0, 0.125) : 0 : 1.7636406861667961 : None : False : False : NonNegativeReals\n", + " (0, 0.25) : 0 : 2.6809464149638216 : None : False : False : NonNegativeReals\n", + " (0, 0.375) : 0 : 3.0883975863630333 : None : False : False : NonNegativeReals\n", + " (0, 0.5) : 0 : 3.1944321863696064 : None : False : False : NonNegativeReals\n", + " (0, 0.625) : 0 : 3.12760077415753 : None : False : False : NonNegativeReals\n", + " (0, 0.75) : 0 : 2.9666701601686642 : None : False : False : NonNegativeReals\n", + " (0, 0.875) : 0 : 2.759436254231636 : None : False : False : NonNegativeReals\n", + " (0, 1.0) : 0 : 2.5344753187152356 : None : False : False : NonNegativeReals\n", + " (1, 0.0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " (1, 0.125) : 0 : 1.7773542181123871 : None : False : False : NonNegativeReals\n", + " (1, 0.25) : 0 : 2.6965896755985215 : None : False : False : NonNegativeReals\n", + " (1, 0.375) : 0 : 3.1012630503724368 : None : False : False : NonNegativeReals\n", + " (1, 0.5) : 0 : 3.20321757225423 : None : False : False : NonNegativeReals\n", + " (1, 0.625) : 0 : 3.132499643408593 : None : False : False : NonNegativeReals\n", + " (1, 0.75) : 0 : 2.9684183263510167 : None : False : False : NonNegativeReals\n", + " (1, 0.875) : 0 : 2.7588650832415493 : None : False : False : NonNegativeReals\n", + " (1, 1.0) : 0 : 2.53232545105087 : None : False : False : NonNegativeReals\n", + " var_2_4 : Size=18, Index=var_2_4_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " (0, 0.0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " (0, 0.125) : 0 : 0.10825883083619747 : None : False : False : NonNegativeReals\n", + " (0, 0.25) : 0 : 0.36205105869554755 : None : False : False : NonNegativeReals\n", + " (0, 0.375) : 0 : 0.68726230406444 : None : False : False : NonNegativeReals\n", + " (0, 0.5) : 0 : 1.0395960360101681 : None : False : False : NonNegativeReals\n", + " (0, 0.625) : 0 : 1.3931918883358414 : None : False : False : NonNegativeReals\n", + " (0, 0.75) : 0 : 1.733528099049536 : None : False : False : NonNegativeReals\n", + " (0, 0.875) : 0 : 2.05300175173984 : None : False : False : NonNegativeReals\n", + " (0, 1.0) : 0 : 2.3481821284621915 : None : False : False : NonNegativeReals\n", + " (1, 0.0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", + " (1, 0.125) : 0 : 0.10918211344488561 : None : False : False : NonNegativeReals\n", + " (1, 0.25) : 0 : 0.36467912146342746 : None : False : False : NonNegativeReals\n", + " (1, 0.375) : 0 : 0.6915031169847149 : None : False : False : NonNegativeReals\n", + " (1, 0.5) : 0 : 1.045046692297123 : None : False : False : NonNegativeReals\n", + " (1, 0.625) : 0 : 1.3993999764740468 : None : False : False : NonNegativeReals\n", + " (1, 0.75) : 0 : 1.740098968313278 : None : False : False : NonNegativeReals\n", + " (1, 0.875) : 0 : 2.0596307541500694 : None : False : False : NonNegativeReals\n", + " (1, 1.0) : 0 : 2.3546532257585846 : None : False : False : NonNegativeReals\n", + "\n", + " Objectives:\n", + " None\n", + "\n", + " Constraints:\n", + " con_0_0 : Size=18\n", + " Key : Lower : Body : Upper\n", + " (0, 0.0) : 0.0 : -5.377920331284258e-13 : 0.0\n", + " (0, 0.125) : 0.0 : -6.306066779870889e-13 : 0.0\n", + " (0, 0.25) : 0.0 : -6.035172361862351e-13 : 0.0\n", + " (0, 0.375) : 0.0 : -5.409006575973763e-13 : 0.0\n", + " (0, 0.5) : 0.0 : -4.4630965589931293e-13 : 0.0\n", + " (0, 0.625) : 0.0 : -3.4416913763379853e-13 : 0.0\n", + " (0, 0.75) : 0.0 : -2.469136006766348e-13 : 0.0\n", + " (0, 0.875) : 0.0 : -1.5898393712632242e-13 : 0.0\n", + " (0, 1.0) : 0.0 : -7.904787935331115e-14 : 0.0\n", + " (1, 0.0) : 0.0 : -5.409006575973763e-13 : 0.0\n", + " (1, 0.125) : 0.0 : -6.323830348264892e-13 : 0.0\n", + " (1, 0.25) : 0.0 : -6.052935930256353e-13 : 0.0\n", + " (1, 0.375) : 0.0 : -5.417888360170764e-13 : 0.0\n", + " (1, 0.5) : 0.0 : -4.46753745109163e-13 : 0.0\n", + " (1, 0.625) : 0.0 : -3.4416913763379853e-13 : 0.0\n", + " (1, 0.75) : 0.0 : -2.473576898864849e-13 : 0.0\n", + " (1, 0.875) : 0.0 : -1.5942802633617248e-13 : 0.0\n", + " (1, 1.0) : 0.0 : -8.038014698286133e-14 : 0.0\n", + " con_0_1 : Size=18\n", + " Key : Lower : Body : Upper\n", + " (0, 0.0) : 0.0 : -6.643574579356937e-13 : 0.0\n", + " (0, 0.125) : 0.0 : -1.1618483952702263e-12 : 0.0\n", + " (0, 0.25) : 0.0 : -1.0292877661299826e-12 : 0.0\n", + " (0, 0.375) : 0.0 : -8.887335312124378e-13 : 0.0\n", + " (0, 0.5) : 0.0 : -7.828182546631979e-13 : 0.0\n", + " (0, 0.625) : 0.0 : -7.267519919196275e-13 : 0.0\n", + " (0, 0.75) : 0.0 : -7.16315895488151e-13 : 0.0\n", + " (0, 0.875) : 0.0 : -7.579492589115944e-13 : 0.0\n", + " (0, 1.0) : 0.0 : -8.12128142513302e-13 : 0.0\n", + " (1, 0.0) : 0.0 : -6.643574579356937e-13 : 0.0\n", + " (1, 0.125) : 0.0 : -1.1614043060603763e-12 : 0.0\n", + " (1, 0.25) : 0.0 : -1.0279554985004324e-12 : 0.0\n", + " (1, 0.375) : 0.0 : -8.869571743730376e-13 : 0.0\n", + " (1, 0.5) : 0.0 : -7.813749647311852e-13 : 0.0\n", + " (1, 0.625) : 0.0 : -7.260858581048524e-13 : 0.0\n", + " (1, 0.75) : 0.0 : -7.169820293029261e-13 : 0.0\n", + " (1, 0.875) : 0.0 : -7.610578833805448e-13 : 0.0\n", + " (1, 1.0) : 0.0 : -8.1556983388964e-13 : 0.0\n", + " con_0_2 : Size=18\n", + " Key : Lower : Body : Upper\n", + " (0, 0.0) : 0.0 : 6.084022174945858e-13 : 0.0\n", + " (0, 0.125) : 0.0 : -4.618527782440651e-13 : 0.0\n", + " (0, 0.25) : 0.0 : -4.334310688136611e-13 : 0.0\n", + " (0, 0.375) : 0.0 : -5.146993942162226e-13 : 0.0\n", + " (0, 0.5) : 0.0 : -7.215339437038892e-13 : 0.0\n", + " (0, 0.625) : 0.0 : -1.0981215936567423e-12 : 0.0\n", + " (0, 0.75) : 0.0 : -1.7263968032921184e-12 : 0.0\n", + " (0, 0.875) : 0.0 : -2.7448043837807745e-12 : 0.0\n", + " (0, 1.0) : 0.0 : -4.379815954358435e-12 : 0.0\n", + " (1, 0.0) : 0.0 : 6.084022174945858e-13 : 0.0\n", + " (1, 0.125) : 0.0 : -4.618527782440651e-13 : 0.0\n", + " (1, 0.25) : 0.0 : -4.3365311341858614e-13 : 0.0\n", + " (1, 0.375) : 0.0 : -5.189182417097982e-13 : 0.0\n", + " (1, 0.5) : 0.0 : -7.330802631599909e-13 : 0.0\n", + " (1, 0.625) : 0.0 : -1.1227685448034208e-12 : 0.0\n", + " (1, 0.75) : 0.0 : -1.774747016014544e-12 : 0.0\n", + " (1, 0.875) : 0.0 : -2.8359536941025e-12 : 0.0\n", + " (1, 1.0) : 0.0 : -4.547084930806022e-12 : 0.0\n", + " con_0_3 : Size=18\n", + " Key : Lower : Body : Upper\n", + " (0, 0.0) : 0.0 : 0.0 : 0.0\n", + " (0, 0.125) : 0.0 : -4.3010039973978564e-13 : 0.0\n", + " (0, 0.25) : 0.0 : -4.2721381987576024e-13 : 0.0\n", + " (0, 0.375) : 0.0 : -4.3920422854171193e-13 : 0.0\n", + " (0, 0.5) : 0.0 : -4.3653969328261155e-13 : 0.0\n", + " (0, 0.625) : 0.0 : -4.241051954068098e-13 : 0.0\n", + " (0, 0.75) : 0.0 : -4.050093593832571e-13 : 0.0\n", + " (0, 0.875) : 0.0 : -3.743672039036028e-13 : 0.0\n", + " (0, 1.0) : 0.0 : -3.503863865716994e-13 : 0.0\n", + " (1, 0.0) : 0.0 : 0.0 : 0.0\n", + " (1, 0.125) : 0.0 : -4.289901767151605e-13 : 0.0\n", + " (1, 0.25) : 0.0 : -4.2810199829546036e-13 : 0.0\n", + " (1, 0.375) : 0.0 : -4.39648317751562e-13 : 0.0\n", + " (1, 0.5) : 0.0 : -4.383160501220118e-13 : 0.0\n", + " (1, 0.625) : 0.0 : -4.241051954068098e-13 : 0.0\n", + " (1, 0.75) : 0.0 : -4.0456527017340704e-13 : 0.0\n", + " (1, 0.875) : 0.0 : -3.7214675785435247e-13 : 0.0\n", + " (1, 1.0) : 0.0 : -3.490541189421492e-13 : 0.0\n", + " con_0_4 : Size=18\n", + " Key : Lower : Body : Upper\n", + " (0, 0.0) : 0.0 : 0.0 : 0.0\n", + " (0, 0.125) : 0.0 : -4.689026944504349e-12 : 0.0\n", + " (0, 0.25) : 0.0 : -1.40121247937941e-12 : 0.0\n", + " (0, 0.375) : 0.0 : -7.703837567873961e-13 : 0.0\n", + " (0, 0.5) : 0.0 : -5.582201367815287e-13 : 0.0\n", + " (0, 0.625) : 0.0 : -4.722888746755416e-13 : 0.0\n", + " (0, 0.75) : 0.0 : -4.3942627314663696e-13 : 0.0\n", + " (0, 0.875) : 0.0 : -4.303224443447107e-13 : 0.0\n", + " (0, 1.0) : 0.0 : -4.32542890393961e-13 : 0.0\n", + " (1, 0.0) : 0.0 : 0.0 : 0.0\n", + " (1, 0.125) : 0.0 : -4.648711970922648e-12 : 0.0\n", + " (1, 0.25) : 0.0 : -1.3913870056114774e-12 : 0.0\n", + " (1, 0.375) : 0.0 : -7.663869538987456e-13 : 0.0\n", + " (1, 0.5) : 0.0 : -5.544453784978032e-13 : 0.0\n", + " (1, 0.625) : 0.0 : -4.716227408607665e-13 : 0.0\n", + " (1, 0.75) : 0.0 : -4.389821839367869e-13 : 0.0\n", + " (1, 0.875) : 0.0 : -4.298783551348606e-13 : 0.0\n", + " (1, 1.0) : 0.0 : -4.32542890393961e-13 : 0.0\n" + ] + } + ], + "source": [ + "display(model2_flatten)" + ] + }, + { + "cell_type": "markdown", + "id": "a2b76063", + "metadata": {}, + "source": [ + "## Pyomo DAE problem " + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "01ffc9fc", + "metadata": {}, + "outputs": [], + "source": [ + "#time_an = list(np.linspace(0,1,9))\n", + "def create_model_dae(CA_init=5, T_init=300):\n", + " '''Model for get_sensitivity, defining measurements as cosntraints\n", + " '''\n", + " # time points \n", + " timepoint = [0.0, 0.125, 0.25, 0.375, 0.5,0.625, 0.75, 0.875, 1.0]\n", + " theta_p = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}\n", + " \n", + " m= ConcreteModel()\n", + " \n", + " m.t = ContinuousSet(bounds = (0.0,1))\n", + " \n", + " m.t_con = Set(initialize=timepoint)\n", + "\n", + " m.CA0 = Var(initialize=CA_init, bounds=(1.0,5.0),within=NonNegativeReals )\n", + " m.T = Var(m.t, initialize=T_init, bounds=(300,700),within=NonNegativeReals)\n", + " \n", + " m.CA0.fix()\n", + " \n", + " # Define ideal gas constant\n", + " m.R = 8.31446261815324 # J / K / mol\n", + "\n", + " '''\n", + " m.A1 = Var(initialize = theta_p['A1'])\n", + " m.A2 = Var(initialize = theta_p['A2'])\n", + " m.E1 = Var(initialize = theta_p['E1'])\n", + " m.E2 = Var(initialize = theta_p['E2'])\n", + " \n", + " # Concentration of A, B, and C [mol/L]\n", + " m.CA = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " m.CB = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " m.CC = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " \n", + " def k1_rule(m):\n", + " return m.k1 == m.A1*exp(-m.E1*1000/m.R/m.T)\n", + "\n", + " def k2_rule(m):\n", + " return m.k2 == m.A2 * exp(-m.E2*1000/m.R/m.T)\n", + "\n", + " m.k1 = Var(initialize=0.2, within=NonNegativeReals) # 1/hr\n", + " m.k2 = Var(initialize=0.1, within=NonNegativeReals)\n", + " \n", + " def conc_CA(m,t):\n", + " return m.CA[t] == m.CA0*exp(-m.k1*t)\n", + " def conc_CB(m,t):\n", + " return m.CB[t] == m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", + " def conc_CC(m,t):\n", + " return m.CC[t] == m.CA0 - m.CA0*exp(-m.k1*t) - m.k1*m.CA0/(m.k2-m.k1) * (exp(-m.k1*t) - exp(-m.k2*t))\n", + "\n", + " m.k1_r = Constraint(rule=k1_rule)\n", + " m.k2_r = Constraint(rule=k2_rule)\n", + " m.rate_CA = Constraint(m.t, rule=conc_CA)\n", + " m.rate_CB = Constraint(m.t, rule=conc_CB)\n", + " m.rate_CC = Constraint(m.t, rule=conc_CC)\n", + " '''\n", + " \n", + " #m.Obj = Objective(rule=0, sense=maximize)\n", + " \n", + " return m" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "794acf0e", + "metadata": {}, + "outputs": [], + "source": [ + "def construct_block_dae(m):\n", + " \n", + " m.scena = Set(initialize=list(range(2)))\n", + " theta_pa = [{'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}, \n", + " {'A1': 84.79085853498033*1.01, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822}]\n", + " \n", + " def block_build(b, s):\n", + " b.A1 = Var(initialize = theta_pa[s]['A1'])\n", + " b.A2 = Var(initialize = theta_pa[s]['A2'])\n", + " b.E1 = Var(initialize = theta_pa[s]['E1'])\n", + " b.E2 = Var(initialize = theta_pa[s]['E2'])\n", + " \n", + " b.A1.fix()\n", + " b.A2.fix()\n", + " b.E1.fix()\n", + " b.E2.fix()\n", + " \n", + " b.k1 = Var(m.t, initialize=0.2, within=NonNegativeReals) # 1/hr\n", + " b.k2 = Var(m.t, initialize=0.1, within=NonNegativeReals)\n", + " \n", + " b.CA = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " b.CB = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " b.CC = Var(m.t, initialize=0.5, within=NonNegativeReals)\n", + " \n", + " b.dCAdt = DerivativeVar(b.CA, wrt=m.t)\n", + " b.dCBdt = DerivativeVar(b.CB, wrt=m.t)\n", + " b.dCCdt = DerivativeVar(b.CC, wrt=m.t)\n", + " \n", + " m.lsb = Block(m.scena, rule=block_build)\n", + " \n", + " \n", + " def k1_rule_block(m,s,t):\n", + " return m.lsb[s].k1[t] == m.lsb[s].A1*exp(-m.lsb[s].E1*1000/m.R/m.T[t])\n", + "\n", + " def k2_rule_block(m,s,t):\n", + " return m.lsb[s].k2[t] == m.lsb[s].A2 * exp(-m.lsb[s].E2*1000/m.R/m.T[t])\n", + " \n", + " def conc_CA_block(m,s,t):\n", + " return m.lsb[s].dCAdt[t] == -m.lsb[s].k1[t]*m.lsb[s].CA[t]\n", + " def conc_CB_block(m,s,t):\n", + " return m.lsb[s].dCBdt[t] == m.lsb[s].k1[t]*m.lsb[s].CA[t] - m.lsb[s].k2[t]*m.lsb[s].CB[t]\n", + " def conc_CC_block(m,s,t):\n", + " return m.lsb[s].CC[t] + m.lsb[s].CB[t] + m.lsb[s].CA[t] == m.CA0\n", + " \n", + " m.k1_r_block = Constraint(m.scena,m.t,rule=k1_rule_block)\n", + " m.k2_r_block = Constraint(m.scena,m.t,rule=k2_rule_block)\n", + " m.rate_CA_block = Constraint(m.scena,m.t, rule=conc_CA_block)\n", + " m.rate_CB_block = Constraint(m.scena,m.t, rule=conc_CB_block)\n", + " m.rate_CC_block = Constraint(m.scena,m.t, rule=conc_CC_block)\n", + " \n", + " \n", + " for s in m.scena:\n", + " m.lsb[s].CB[0.0].fix(0.0)\n", + " m.lsb[s].CC[0.0].fix(0.0)\n", + " return m" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "ea8619ea", + "metadata": {}, + "outputs": [], + "source": [ + "def discretizer(m, NFE=32):\n", + " discretizer = TransformationFactory('dae.collocation')\n", + " discretizer.apply_to(m, nfe=NFE, ncp=3, wrt=m.t)\n", + " return m " + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "37891e06", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "i is: 0\n", + "sets is: (,)\n", + "vars is: [, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ]\n", + "i is: 1\n", + "sets is: (,)\n", + "vars is: [, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 5382\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 386\n", + "\n", + "Total number of variables............................: 1546\n", + " variables with only lower bounds: 966\n", + " variables with lower and upper bounds: 0\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 1546\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 6.62e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 1.63e+01 4.98e+01 -1.0 4.50e+00 - 5.37e-02 9.94e-01f 1\n", + " 2 0.0000000e+00 7.50e-02 1.67e+01 -1.0 1.62e+01 - 1.61e-01 1.00e+00f 1\n", + " 3 0.0000000e+00 2.13e-13 2.22e-02 -1.0 3.59e-02 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 9.7896460589082725e-14 2.1316282072803006e-13\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 9.7896460589082725e-14 2.1316282072803006e-13\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "\b\b\b\b\b\b\b\b\b\b\b\b\b\b" + ] + } + ], + "source": [ + "model2 = create_model_dae()\n", + "model2_block = construct_block_dae(model2)\n", + "model2_block = discretizer(model2_block)\n", + "model2_block.T.fix()\n", + "\n", + "model2_block, model2_flatten = all_sets(model2_block)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "56a6a675", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model unknown\n", + "\n", + " Variables:\n", + " unindexed_vars : Size=98, Index=unindexed_vars_index\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 1.0 : 5 : 5.0 : True : True : NonNegativeReals\n", + " 1 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 2 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 3 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 4 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 5 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 6 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 7 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 8 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 9 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 10 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 11 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 12 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 13 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 14 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 15 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 16 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 17 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 18 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 19 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 20 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 21 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 22 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 23 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 24 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 25 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 26 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 27 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 28 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 29 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 30 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 31 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 32 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 33 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 34 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 35 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 36 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 37 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 38 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 39 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 40 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 41 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 42 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 43 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 44 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 45 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 46 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 47 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 48 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 49 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 50 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 51 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 52 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 53 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 54 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 55 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 56 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 57 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 58 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 59 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 60 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 61 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 62 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 63 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 64 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 65 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 66 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 67 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 68 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 69 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 70 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 71 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 72 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 73 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 74 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 75 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 76 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 77 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 78 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 79 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 80 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 81 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 82 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 83 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 84 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 85 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 86 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 87 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 88 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 89 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 90 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 91 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 92 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 93 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 94 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 95 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 96 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " 97 : 300 : 300 : 700 : True : True : NonNegativeReals\n", + " var_1_0 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 84.79085853498033 : None : True : True : Reals\n", + " 1 : None : 85.63876712033013 : None : True : True : Reals\n", + " var_1_1 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 371.71773413976416 : None : True : True : Reals\n", + " 1 : None : 371.71773413976416 : None : True : True : Reals\n", + " var_1_2 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 7.777032028026428 : None : True : True : Reals\n", + " 1 : None : 7.777032028026428 : None : True : True : Reals\n", + " var_1_3 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : None : 15.047135137500822 : None : True : True : Reals\n", + " 1 : None : 15.047135137500822 : None : True : True : Reals\n", + " var_1_4 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.7520957323874873 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897113623 : None : False : False : NonNegativeReals\n", + " var_1_5 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.7520957323874873 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897113623 : None : False : False : NonNegativeReals\n", + " var_1_6 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.7520957323874873 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897113623 : None : False : False : NonNegativeReals\n", + " var_1_7 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.7520957323874873 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897113623 : None : False : False : NonNegativeReals\n", + " var_1_8 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.7520957323874873 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897113623 : None : False : False : NonNegativeReals\n", + " var_1_9 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.7520957323874873 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897113623 : None : False : False : NonNegativeReals\n", + " var_1_10 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.7520957323874873 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897113623 : None : False : False : NonNegativeReals\n", + " var_1_11 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.7520957323874873 : None : 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3.7520957323874873 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897113623 : None : False : False : NonNegativeReals\n", + " var_1_16 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.7520957323874873 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897113623 : None : False : False : NonNegativeReals\n", + " var_1_17 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.7520957323874873 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897113623 : None : False : False : NonNegativeReals\n", + " var_1_18 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", + " 0 : 0 : 3.7520957323874873 : None : False : False : NonNegativeReals\n", + " 1 : 0 : 3.7896166897113623 : None : False : False : NonNegativeReals\n", + " var_1_19 : Size=2, Index=scena\n", + " Key : Lower : Value : Upper : Fixed : Stale : 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"source": [ + "display(model2_flatten)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b15a40f", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyomo/contrib/doe/optimize.ipynb b/pyomo/contrib/doe/optimize.ipynb new file mode 100644 index 00000000000..c1be650083f --- /dev/null +++ b/pyomo/contrib/doe/optimize.ipynb @@ -0,0 +1,521 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "2630d624", + "metadata": {}, + "outputs": [], + "source": [ + "import pyomo.environ as pyo\n", + "import numpy as np\n", + "from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp, get_dfds_dcds\n", + "#from idaes.apps.uncertainty_propagation.uncertainties import propagate_uncertainty\n", + "#from idaes.apps.uncertainty_propagation.sens import get_dsdp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "a6969107", + "metadata": {}, + "outputs": [], + "source": [ + "def create_model():\n", + " ### Create optimization model\n", + " m = pyo.ConcreteModel()\n", + " m.dual = pyo.Suffix(direction=pyo.Suffix.IMPORT)\n", + "\n", + " # Define variables\n", + " m.x1 = pyo.Var(bounds=(0,10))\n", + " m.x2 = pyo.Var(bounds=(0,10))\n", + " m.x3 = pyo.Var(bounds=(0,10))\n", + "\n", + " # Define parameters\n", + " #m.p1 = pyo.Param(initialize=10, mutable=True)\n", + " #m.p2 = pyo.Param(initialize=5, mutable=True)\n", + " # Important Tip: The uncertain parameters need to be defined at Pyomo variables\n", + " m.p1 = pyo.Var(initialize=10)\n", + " m.p2 = pyo.Var(initialize=5)\n", + " # Important Tip: We fix these to first solve with Ipopt. We unfix below\n", + " # before using the uncertainty propagation toolbox.\n", + " m.p1.setlb(10)\n", + " m.p1.setub(10)\n", + " m.p2.setlb(5)\n", + " m.p2.setub(5)\n", + "\n", + " # Define constraints\n", + " m.con1 = pyo.Constraint(expr=m.x1 + m.x2-m.p1==0)\n", + " m.con2 = pyo.Constraint(expr=m.x2 + m.x3-m.p2==0)\n", + "\n", + " # Define objective\n", + " m.obj = pyo.Objective(expr=m.p1*m.x1+ m.p2*(m.x2**2) + m.p1*m.p2, sense=pyo.minimize)\n", + " \n", + " return m \n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "7ecc2853", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 4\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 1\n", + "\n", + "Total number of variables............................: 3\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 3\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 2\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 5.0100500e+01 9.98e+00 3.30e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 2.1856190e+02 8.88e-16 5.05e+02 -1.0 5.15e+00 - 1.95e-03 1.00e+00h 1\n", + " 2 1.5593530e+02 0.00e+00 1.29e+01 -1.0 2.36e+00 - 6.72e-02 1.00e+00f 1\n", + " 3 1.4504572e+02 0.00e+00 1.63e-01 -1.0 1.38e+00 - 8.47e-01 1.00e+00f 1\n", + " 4 1.4500209e+02 0.00e+00 8.40e-16 -1.0 7.52e-02 - 1.00e+00 1.00e+00f 1\n", + " 5 1.4500000e+02 0.00e+00 1.60e-15 -2.5 1.95e-02 - 1.00e+00 1.00e+00f 1\n", + " 6 1.4500000e+02 0.00e+00 6.43e-16 -3.8 9.08e-04 - 1.00e+00 1.00e+00f 1\n", + " 7 1.4500000e+02 8.88e-16 1.18e-15 -5.7 2.61e-05 - 1.00e+00 1.00e+00f 1\n", + " 8 1.4500000e+02 0.00e+00 1.06e-15 -8.6 3.13e-07 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 8\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 1.4500000000000000e+02 1.4500000000000000e+02\n", + "Dual infeasibility......: 1.0648464902588984e-15 1.0648464902588984e-15\n", + "Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Complementarity.........: 2.5064815359838347e-09 2.5064815359838347e-09\n", + "Overall NLP error.......: 2.5064815359838347e-09 2.5064815359838347e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 9\n", + "Number of objective gradient evaluations = 9\n", + "Number of equality constraint evaluations = 9\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 9\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 8\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dot_in_.in\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]Unresolved sigma values, is the mu computation successful? or is this a square problem?\n", + "Check the sigma_out file with the PRINT_VERBOSE (cmake) option set to 0\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": print_kkt=\n", + "print_kkt=\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 5\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 2\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 3\n", + "I[K_AUG]...\t[ADJUST_MU]log10(mu) computed=-8.601046750216618 at var_i=0\n", + "I[K_AUG]...\t[ADJUST_MU]log10(mu) close to the target\t-8.600935491205588 at var_i=1\n", + "yes I hear you 1\n", + "W[k_aug]...\t[k_aug_asl]printing kkt matrix.\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 2, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 6\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 4\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 145.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 4\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]New folder created ./GJH !...\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]Unresolved sigma values, is the mu computation successful? or is this a square problem?\n", + "Check the sigma_out file with the PRINT_VERBOSE (cmake) option set to 0\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.38223; Max residual ratio 1e-10.\n", + "\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 5\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 4\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 1\n", + "I[K_AUG]...\t[ADJUST_MU]log10(mu) computed=-8.601046750216618 at var_i=0\n", + "I[K_AUG]...\t[ADJUST_MU]log10(mu) close to the target\t-8.600935491205588 at var_i=1\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 4, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 8\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 4\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 145.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 4\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 2 \n", + "I[MA57]...\t[]***\n", + " Runtime parameters:\n", + " Objective type: METIS_OBJTYPE_CUT\n", + " Coarsening type: Unknown!\n", + " Initial partitioning type: Unknown!\n", + " Refinement type: Unknown!\n", + " Perform a 2-hop matching: No\n", + " Number of balancing constraints: 1\n", + " Number of refinement iterations: 183290035\n", + " Random number seed: 0\n", + " Number of separators: 32767\n", + " Compress graph prior to ordering: No\n", + " Detect & order connected components separately: No\n", + " Prunning factor for high degree vertices: 53753036.000000\n", + " Allowed maximum load imbalance: 1.515 \n", + "\n", + "Input Error: Incorrect objective type.\n", + " nbrpool statistics\n", + " nbrpoolsize: 0 nbrpoolcpos: 0\n", + " nbrpoolreallocs: 0\n", + "\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 4\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 3.822297e-01 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 4\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.3822297176861677.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=4, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.000856, Fact 0.001175, Overall 0.001503.\n" + ] + } + ], + "source": [ + "variable_name = ['p1','p2']\n", + "#variable_name = ['x1','x2','x3','p1','p2']\n", + "\n", + "mod = create_model()\n", + "\n", + "\n", + "\n", + "#gradient_f, gradient_c, line_dic = get_sensitivity(mod, variable_name)\n", + "gradient_f, gradient_c, col,row, line_dic = get_dfds_dcds(mod, variable_name, tee=True)\n", + "## Run sensitivity toolbox\n", + "#sigma_p = np.array([[1, 0], [0, 1]])\n", + "#results = propagate_uncertainty(mod,{'p1':10, 'p2':5}, sigma_p, variable_name)\n", + "\n", + "dsdp_re, col = get_dsdp(mod, variable_name, {'p1':10, 'p2':5}, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "36d53dbe", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'results' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_42857/3318447597.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mvar_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdsdp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtoarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mvar_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'results' is not defined" + ] + } + ], + "source": [ + "var_idx = np.array([True,True,False,False,True])\n", + "print(results.dsdp.toarray()[var_idx,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b3639315", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 9.00000000e-01 2.00000000e-01]\n", + " [ 1.00000000e-01 -2.00000000e-01]\n", + " [ 1.00000000e+00 5.55111512e-17]\n", + " [ 0.00000000e+00 1.00000000e+00]\n", + " [-1.00000000e-01 1.20000000e+00]]\n", + " (0, 0)\t0.8999999997992688\n", + " (0, 1)\t0.19999999995630358\n", + " (1, 0)\t0.10000000020073119\n", + " (1, 1)\t-0.19999999995630352\n", + " (2, 0)\t1.0\n", + " (2, 1)\t5.551115123125783e-17\n", + " (3, 1)\t0.9999999999999999\n", + " (4, 0)\t-0.10000000020073119\n", + " (4, 1)\t1.1999999999563031\n", + "['x1', 'x2', 'p1', 'p2', 'x3']\n" + ] + } + ], + "source": [ + "\n", + "dsdp_array = dsdp_re.toarray().T\n", + "print(dsdp_array)\n", + "print(sparse.csr_matrix(dsdp_array))\n", + "print(col)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b4c7e437", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "18877727", + "metadata": {}, + "outputs": [], + "source": [ + "print((mod.x1()))\n", + "print((mod.x2()))\n", + "print((mod.x3()))\n", + "print((mod.p1()))\n", + "print((mod.p2()))\n", + "print((mod.obj()))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "d7d0a40b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[10. 10. 14. 11. 0.]\n" + ] + } + ], + "source": [ + "print(gradient_f)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "6871ca77", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " (0, 0)\t1.0\n", + " (0, 1)\t1.0\n", + " (0, 2)\t-1.0\n", + " (1, 1)\t1.0\n", + " (1, 3)\t-1.0\n" + ] + } + ], + "source": [ + "print(gradient_c)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dfbe121b", + "metadata": {}, + "outputs": [], + "source": [ + "print(col)\n", + "print(row)\n", + "print(line_dic)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79d734bd", + "metadata": {}, + "outputs": [], + "source": [ + "### Inspect solution\n", + "print(\"Numeric solution:\")\n", + "print(\"x1 =\",m.x1())\n", + "print(\"x2 =\",m.x2())\n", + "print(\"x3 =\",m.x3())\n", + "print(m.dual.display())\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "45358039", + "metadata": {}, + "outputs": [], + "source": [ + "def derivative_numerical(par):\n", + " ### Create optimization model\n", + " m = pyo.ConcreteModel()\n", + "\n", + " # Define variables\n", + " m.x1 = pyo.Var()\n", + " m.x2 = pyo.Var()\n", + " m.x3 = pyo.Var()\n", + "\n", + " # Define parameters\n", + " m.p1 = pyo.Param(initialize=par[0])\n", + " m.p2 = pyo.Param(initialize=par[1])\n", + "\n", + " # Define constraints\n", + " m.con1 = pyo.Constraint(expr=m.x1 + m.x2-m.p1==0)\n", + " m.con2 = pyo.Constraint(expr=m.x2 + m.x3-m.p2==0)\n", + " m.add = pyo.Constraint(expr=m.p1*m.x1+ m.p2*(m.x2**2) + m.p1*m.p2 == 145.0)\n", + " \n", + " return m " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "946903c1", + "metadata": {}, + "outputs": [], + "source": [ + "#scenario = [[10.1,5], [9.9,5], [10,5.05], [10,4.95]]\n", + "scenario = [[10,5], [9.9,5], [10,5], [10,4.95]]\n", + "#scenario = [[10,5]]\n", + "\n", + "x1_store = []\n", + "x2_store = []\n", + "x3_store = []\n", + "for j in scenario:\n", + " kitty = derivative_numerical(j)\n", + " solver = SolverFactory('ipopt')\n", + " solver.solver_options = 'ma57'\n", + " solver.solve(kitty,tee=True)\n", + " \n", + " print(value(kitty.p1))\n", + " print(value(kitty.p2)\n", + " \n", + " x1_store.append(value(kitty.x1))\n", + " x2_store.append(value(kitty.x2))\n", + " x3_store.append(value(kitty.x3))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "92aedf79", + "metadata": {}, + "outputs": [], + "source": [ + "print(x1_store)\n", + "print(x2_store)\n", + "print(x3_store)\n", + "\n", + "x1p1 = (x1_store[0]-x1_store[1])/0.1\n", + "x1p2 = (x1_store[2]-x1_store[3])/0.05\n", + "x2p1 = (x2_store[0]-x2_store[1])/0.1\n", + "x2p2 = (x2_store[2]-x2_store[3])/0.05\n", + "x3p1 = (x3_store[0]-x3_store[1])/0.1\n", + "x3p2 = (x3_store[2]-x3_store[3])/0.05\n", + "\n", + "print(x1p1)\n", + "print(x1p2)\n", + "print(x2p1)\n", + "print(x2p2)\n", + "print(x3p1)\n", + "print(x3p2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f9648e18", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyomo/contrib/doe/otpimize_example.ipynb b/pyomo/contrib/doe/otpimize_example.ipynb new file mode 100644 index 00000000000..dd94cbe1336 --- /dev/null +++ b/pyomo/contrib/doe/otpimize_example.ipynb @@ -0,0 +1,427 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "id": "c0688b98", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Numeric solution:\n", + "x1 = 9.0\n", + "x2 = 1.0\n", + "x3 = 4.0\n", + "dual : Direction=Suffix.IMPORT, Datatype=Suffix.FLOAT\n", + " Key : Value\n", + " con1 : 10.0\n", + " con2 : 0.0\n", + "None\n", + "\n", + "Analytic solution:\n", + "x1 = 9.0\n", + "x2 = 1.0\n", + "x3 = 4.0\n", + "v1 = 10\n", + "v2 = 0\n", + "\n", + "\n", + "dx/dp =\n", + " [[ 0.9 0.2]\n", + " [ 0.1 -0.2]\n", + " [-0.1 1.2]]\n", + "\n", + "\n", + "df/dx =\n", + " [10. 10. 0.]\n", + "\n", + "\n", + "df/dp =\n", + " [14. 11.]\n", + "\n", + "\n", + "dc/dx =\n", + " [[1. 1. 0.]\n", + " [0. 1. 1.]]\n", + "\n", + "\n", + "dc/dp =\n", + " [[-1. 0.]\n", + " [ 0. -1.]]\n", + "\n", + "sigma_f = 1273.0\n", + "\n", + "sigma_c = \n", + " [[0. 0.]\n", + " [0. 0.]]\n", + "\n", + "\n", + "\n", + "sigma_f (take 2) = 1273.0\n", + "sigma_c (take 2) = [[0. 0.]\n", + " [0. 0.]]\n" + ] + }, + { + "ename": "AssertionError", + "evalue": "\nArrays are not almost equal to 6 decimals\n\nMismatched elements: 1 / 4 (25%)\nMax absolute difference: 1.46\nMax relative difference: inf\n x: array([[0. , 0. ],\n [0. , 1.46]])\n y: array(0.)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_21944/3823211263.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 284\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 285\u001b[0m \u001b[0;31m# Check the uncertainty propagation results for the constrains matches\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 286\u001b[0;31m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtesting\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0massert_array_almost_equal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpropagation_c\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msigma_c\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 287\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 288\u001b[0m \u001b[0;31m# Check the uncertainty propagation results for the objective matches\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + " \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n", + "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/numpy/testing/_private/utils.py\u001b[0m in \u001b[0;36massert_array_compare\u001b[0;34m(comparison, x, y, err_msg, verbose, header, precision, equal_nan, equal_inf)\u001b[0m\n\u001b[1;32m 842\u001b[0m \u001b[0mverbose\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mverbose\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheader\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mheader\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 843\u001b[0m names=('x', 'y'), precision=precision)\n\u001b[0;32m--> 844\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mAssertionError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 845\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 846\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mtraceback\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAssertionError\u001b[0m: \nArrays are not almost equal to 6 decimals\n\nMismatched elements: 1 / 4 (25%)\nMax absolute difference: 1.46\nMax relative difference: inf\n x: array([[0. , 0. ],\n [0. , 1.46]])\n y: array(0.)" + ] + } + ], + "source": [ + "#################################################################################\n", + "# The Institute for the Design of Advanced Energy Systems Integrated Platform\n", + "# Framework (IDAES IP) was produced under the DOE Institute for the\n", + "# Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021\n", + "# by the software owners: The Regents of the University of California, through\n", + "# Lawrence Berkeley National Laboratory, National Technology & Engineering\n", + "# Solutions of Sandia, LLC, Carnegie Mellon University, West Virginia University\n", + "# Research Corporation, et al. All rights reserved.\n", + "#\n", + "# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and\n", + "# license information.\n", + "#################################################################################\n", + "\n", + "'''\n", + "Consider the following optimization problem.\n", + "min f: p1*x1+ p2*(x2^2) + p1*p2\n", + " s.t c1: x1 + x2 = p1\n", + " c2: x2 + x3 = p2\n", + " 0 <= x1, x2, x3 <= 10\n", + " p1 = 10\n", + " p2 = 5\n", + "Variables = (x1, x2, x3)\n", + "Parameters (fixed variables) = (p1, p2)\n", + "'''\n", + "\n", + "import pyomo.environ as pyo\n", + "import numpy as np\n", + "#import pytest\n", + "from idaes.apps.uncertainty_propagation.uncertainties import propagate_uncertainty\n", + "\n", + "if __name__ == \"__main__\":\n", + "\n", + " ### Create optimization model\n", + " m = pyo.ConcreteModel()\n", + " m.dual = pyo.Suffix(direction=pyo.Suffix.IMPORT)\n", + "\n", + " # Define variables\n", + " # m.x1 = pyo.Var(bounds=(0,10))\n", + " # m.x2 = pyo.Var(bounds=(0,10))\n", + " # m.x3 = pyo.Var(bounds=(0,10))\n", + "\n", + " m.x1 = pyo.Var()\n", + " m.x2 = pyo.Var()\n", + " m.x3 = pyo.Var()\n", + "\n", + "\n", + "\n", + " # Define parameters\n", + " # m.p1 = pyo.Param(initialize=10, mutable=True)\n", + " # m.p2 = pyo.Param(initialize=5, mutable=True)\n", + " # Important Tip: The uncertain parameters need to be defined at Pyomo variables\n", + " m.p1 = pyo.Var(initialize=10)\n", + " m.p2 = pyo.Var(initialize=5)\n", + " # Important Tip: We fix these to first solve with Ipopt. We unfix below\n", + " # before using the uncertainty propagation toolbox.\n", + " m.p1.fix()\n", + " m.p2.fix()\n", + "\n", + " # Define constraints\n", + " m.con1 = pyo.Constraint(expr=m.x1 + m.x2-m.p1==0)\n", + " m.con2 = pyo.Constraint(expr=m.x2 + m.x3-m.p2==0)\n", + "\n", + " # Define objective\n", + " m.obj = pyo.Objective(expr=m.p1*m.x1+ m.p2*(m.x2**2) + m.p1*m.p2, sense=pyo.minimize)\n", + "\n", + " ### Solve optimization model\n", + " opt = pyo.SolverFactory('ipopt',tee=True)\n", + " opt.solve(m)\n", + "\n", + "\n", + " ### Inspect solution\n", + " print(\"Numeric solution:\")\n", + " print(\"x1 =\",m.x1())\n", + " print(\"x2 =\",m.x2())\n", + " print(\"x3 =\",m.x3())\n", + " print(m.dual.display())\n", + "\n", + " ### Analytic solution\n", + " '''\n", + " At the optimal solution, none of the bounds are active. As long as the active set\n", + " does not change (i.e., none of the bounds become active), the\n", + " first order optimality conditions reduce to a simple linear system.\n", + " '''\n", + "\n", + " # dual variables (multipliers)\n", + " v2_ = 0\n", + " v1_ = m.p1()\n", + "\n", + " # primal variables\n", + " x2_ = (v1_ + v2_)/(2 * m.p2())\n", + " x1_ = m.p1() - x2_\n", + " x3_ = m.p2() - x2_\n", + "\n", + " print(\"\\nAnalytic solution:\")\n", + " print(\"x1 =\",x1_)\n", + " print(\"x2 =\",x2_)\n", + " print(\"x3 =\",x3_)\n", + " print(\"v1 =\",v1_)\n", + " print(\"v2 =\",v2_)\n", + " \n", + " ### Analytic sensitivity\n", + " '''\n", + " Using the analytic solution above, we can compute the sensitivies of x and v to\n", + " perturbations in p1 and p2.\n", + " The matrix dx_dp constains the sensitivities of x to perturbations in p\n", + " ''' \n", + "\n", + " # Initialize sensitivity matrix Nx x Np\n", + " # Rows: variables x\n", + " # Columns: parameters p\n", + " dx_dp = np.zeros((3,2))\n", + "\n", + " # dx2/dp1 = 1/(2 * p2)\n", + " dx_dp[1, 0] = 1/(2*m.p2())\n", + "\n", + " # dx2/dp2 = -(v1 + v2)/(2 * p2**2)\n", + " dx_dp[1,1] = -(v1_ + v2_)/(2 * m.p2()**2)\n", + "\n", + " # dx1/dp1 = 1 - dx2/dp1\n", + " dx_dp[0, 0] = 1 - dx_dp[1,0]\n", + "\n", + " # dx1/dp2 = 0 - dx2/dp2\n", + " dx_dp[0, 1] = 0 - dx_dp[1,1]\n", + "\n", + " # dx3/dp1 = 1 - dx2/dp1\n", + " dx_dp[2, 0] = 0 - dx_dp[1,0]\n", + "\n", + " # dx3/dp2 = 0 - dx2/dp2\n", + " dx_dp[2, 1] = 1 - dx_dp[1,1]\n", + "\n", + " print(\"\\n\\ndx/dp =\\n\",dx_dp)\n", + "\n", + "\n", + " '''\n", + " Similarly, we can compute the gradients df_dx, df_dp\n", + " and Jacobians dc_dx, dc_dp\n", + " '''\n", + "\n", + " # Initialize 1 x 3 array to store (\\partial f)/(\\partial x)\n", + " # Elements: variables x\n", + " df_dx = np.zeros(3)\n", + "\n", + " # df/dx1 = p1\n", + " df_dx[0] = m.p1()\n", + "\n", + " # df/dx2 = p2\n", + " df_dx[1] = 2 * m.p2() * x2_\n", + "\n", + " # df/dx3 = 0\n", + "\n", + " print(\"\\n\\ndf/dx =\\n\",df_dx)\n", + "\n", + " # Initialize 1 x 2 array to store (\\partial f)/(\\partial p)\n", + " # Elements: parameters p\n", + " df_dp = np.zeros(2)\n", + "\n", + " # df/dxp1 = x1 + p2\n", + " df_dp[0] = x1_ + m.p2()\n", + "\n", + " # df/dp2 = x2**2 + p1\n", + " df_dp[1] = x2_**2 + m.p1()\n", + "\n", + " print(\"\\n\\ndf/dp =\\n\",df_dp)\n", + "\n", + " # Initialize 2 x 3 array to store (\\partial c)/(\\partial x)\n", + " # Rows: constraints c\n", + " # Columns: variables x\n", + " dc_dx = np.zeros((2,3))\n", + "\n", + " # dc1/dx1 = 1\n", + " dc_dx[0,0] = 1\n", + "\n", + " # dc1/dx2 = 1\n", + " dc_dx[0,1] = 1\n", + "\n", + " # dc2/dx2 = 1\n", + " dc_dx[1,1] = 1\n", + "\n", + " # dc2/dx3 = 1\n", + " dc_dx[1,2] = 1\n", + "\n", + " # Remaining entries are 0\n", + "\n", + " print(\"\\n\\ndc/dx =\\n\",dc_dx)\n", + "\n", + " # Initialize 2 x 2 array to store (\\partial c)/(\\partial x)\n", + " # Rows: constraints c\n", + " # Columns: variables x\n", + " dc_dp = np.zeros((2,2))\n", + "\n", + " # dc1/dp1 = -1\n", + " dc_dp[0,0] = -1\n", + "\n", + " # dc2/dp2 = -1\n", + " dc_dp[1,1] = -1\n", + "\n", + " # Remaining entries are 0\n", + "\n", + " print(\"\\n\\ndc/dp =\\n\",dc_dp)\n", + "\n", + " ### Uncertainty propagation\n", + " '''\n", + " Now lets test the uncertainty propagation package. We will assume p has covariance\n", + " sigma_p = [[2, 0], [0, 1]]\n", + " '''\n", + "\n", + " ## Prepare inputs\n", + "\n", + " # Covariance matrix\n", + " sigma_p = np.array([[2, 0], [0, 1]])\n", + "\n", + " # Nominal values for uncertain parameters\n", + " theta = {'p1':m.p1(), 'p2':m.p2()}\n", + "\n", + " # Names of uncertain parameters\n", + " theta_names = ['p1','p2']\n", + "\n", + " # Important to unfix the parameters!\n", + " # Otherwise k_aug will complain about too few degrees of freedom\n", + " m.p1.unfix()\n", + " m.p2.unfix()\n", + "\n", + " ## Run sensitivity toolbox\n", + " results = propagate_uncertainty(m, theta, sigma_p, theta_names)\n", + "\n", + " ## Compute uncertainty propagation by hand\n", + " # We now compute the expected result with our \n", + " # analytic solution.\n", + "\n", + " # Take 1: use the formula in the documentation\n", + " tmp_f = (df_dp + df_dx @ dx_dp)\n", + " sigma_f = tmp_f @ sigma_p @ tmp_f.transpose()\n", + " print(\"\\nsigma_f = \",sigma_f)\n", + "\n", + " tmp_c = (dc_dp + dc_dx @ dx_dp)\n", + " sigma_c = tmp_c @ sigma_p @ tmp_c.transpose()\n", + " print(\"\\nsigma_c = \\n\",sigma_c)\n", + "\n", + " # Take 2: use an equivalent formula\n", + " print(\"\\n\\n\")\n", + " grad_f = np.hstack((df_dx, df_dp))\n", + " dsdp = np.vstack((dx_dp,np.eye(2)))\n", + " sigma_f_take_2 = grad_f @ dsdp @ sigma_p @ dsdp.transpose() @ grad_f.transpose()\n", + " # This matches\n", + " print(\"sigma_f (take 2) = \",sigma_f_take_2)\n", + "\n", + " dc_ds = np.hstack((dc_dx, dc_dp))\n", + " sigma_c_take_2 = dc_ds @ dsdp @ sigma_p @ dsdp.transpose() @ dc_ds.transpose()\n", + " # This matches\n", + " print(\"sigma_c (take 2) = \",sigma_c_take_2)\n", + "\n", + "\n", + " ## Check results\n", + " # We now check the results for the uncertainty propagation toolbox\n", + "\n", + " # Check the order from the uncertainty propagation toolbox is as expected\n", + " # TODO: make this test more automated to use this information\n", + " # to reshuffle the analytic solution\n", + " assert results.col == ['x1', 'x2', 'p1', 'p2', 'x3']\n", + " assert results.row == ['con1', 'con2', 'obj']\n", + "\n", + " # Define indices to compare results to analytic solution\n", + " # TODO: make this more robust to use the results above\n", + " var_idx = np.array([True,True,False,False,True])\n", + " theta_idx = np.array([False,False,True,True,False])\n", + "\n", + " # Check the gradient of the objective w.r.t. x matches\n", + " np.testing.assert_array_almost_equal(results.gradient_f[var_idx], np.array(df_dx))\n", + "\n", + " # Check the gradient of the objective w.r.t. p (parameters) matches\n", + " np.testing.assert_array_almost_equal(results.gradient_f[theta_idx], np.array(df_dp))\n", + "\n", + " # Check the Jacobian of the constraints w.r.t. x matches\n", + " #np.testing.assert_array_almost_equal(results.gradient_c.toarray()[:, var_idx], np.array(dc_dx))\n", + "\n", + " # Check the Jacobian of the constraints w.r.t. p (parameters) matches\n", + " #np.testing.assert_array_almost_equal(results.gradient_c.toarray()[:, theta_idx], np.array(dc_dp))\n", + "\n", + " # Check the NLP sensitivity results for the variables (x) matches\n", + " np.testing.assert_array_almost_equal(results.dsdp.toarray()[var_idx,:], np.array(dx_dp))\n", + " \n", + "\n", + " # Check the NLP sensitivity results for the parameters (p) matches\n", + " np.testing.assert_array_almost_equal(results.dsdp.toarray()[theta_idx,:], np.array([[1,0],[0,1]]))\n", + "\n", + " # Check the uncertainty propagation results for the constrains matches\n", + " np.testing.assert_array_almost_equal(results.propagation_c,np.sum(sigma_c))\n", + "\n", + " # Check the uncertainty propagation results for the objective matches\n", + " assert results.propagation_f == pytest.approx(sigma_f)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f8c817c8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 0.9 0.2]\n", + " [ 0.1 -0.2]\n", + " [-0.1 1.2]]\n", + "[[ 1.00000000e+00 -5.55111512e-17]\n", + " [-2.22044605e-16 1.00000000e+00]]\n" + ] + } + ], + "source": [ + "print(results.dsdp.toarray()[var_idx,:])\n", + "print(results.dsdp.toarray()[theta_idx,:])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bef7cdcb", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 2e150a15a5c..15ccb9dae6f 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -147,9 +147,9 @@ "outputs": [], "source": [ "# choose model from 'dynamic-DAE', 'constant-DAE', 'constant-analytical'\n", - "model_opt = 'dynamic-DAE'\n", + "#model_opt = 'dynamic-DAE'\n", "#model_opt = 'constant-DAE'\n", - "#model_opt = 'constant-analytical'\n", + "model_opt = 'constant-analytical'\n", "\n", "if (model_opt=='dynamic-DAE'):\n", " createmod = create_model_dae\n", @@ -258,7 +258,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 14, "id": "d3ee5ff9", "metadata": {}, "outputs": [ @@ -266,7 +266,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Design variable: {'CA0': {0: 5}, 'T': {0: 570.21, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n" + "Design variable: {'CA0': {0: 5}, 'T': {0: 300}}\n" ] } ], @@ -289,7 +289,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 15, "id": "latin-medicare", "metadata": { "scrolled": true @@ -301,24 +301,98 @@ "text": [ "Sensitivity information is scaled by its corresponding parameter nominal value.\n", "===In construction===\n", - "The variable is fixed: CB[0,0]\n", - "The variable is fixed: CC[0,0]\n", - "Build time with direct kaug mode [s]: 0.0035851001739501953\n", - "Solve time with direct kaug mode [s]: 0.5968918800354004\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", + "Pass the option square_override for the desired behaviour\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[96] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[96] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[97] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[97] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[98] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[98] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[99] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[99] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]Unresolved sigma values, is the mu computation successful? or is this a square problem?\n", + "Check the sigma_out file with the PRINT_VERBOSE (cmake) option set to 0\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.135101; Max residual ratio 1e-10.\n", + "\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 585\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 585\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:96\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:97\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:98\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:99\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 585, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 1647\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 772\n", + "I[K_AUG]...\t[GET_HESS_ASL]Maximization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 295\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", + "I[MA57]...\t[]***\n", + "Input Error: Incorrect objective type.\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 585\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 1.351010e-01 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 585\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.1351009968528859.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=585, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.004044, Fact 0.005394, Overall 0.006516.\n", + "Build time with direct kaug mode [s]: 0.023694992065429688\n", + "Solve time with direct kaug mode [s]: 0.21739578247070312\n", "Existed information has been added.\n", - "FIM: [[ 40.19497553 20.58727765 -100.31502211 -87.71944874]\n", - " [ 20.58727765 48.85905856 -35.76779002 -233.88968521]\n", - " [-100.31502211 -35.76779002 270.97935935 157.85590065]\n", - " [ -87.71944874 -233.88968521 157.85590065 1171.61206637]]\n", - "Trace: 1531.6454598068271\n", - "Determinant: 668931.420969035\n", - "Condition number: 2200.5008102507245\n", - "Minimal eigen value: 0.5700699576014266\n", - "Eigen values: [1.25443940e+03 2.73212224e+02 5.70069958e-01 3.42376248e+00]\n", - "Eigen vectors: [[ 0.08687129 -0.32566169 -0.67033112 0.66110062]\n", - " [ 0.19323666 0.01986862 0.69657034 0.69069139]\n", - " [-0.17035436 0.92611868 -0.22624604 0.2491913 ]\n", - " [-0.96233693 -0.18935121 0.11940973 0.15425651]]\n" + "FIM: [[ 45.05702919 3.68095005 -140.4709302 -22.19781768]\n", + " [ 3.68095005 36.19675789 -11.47442929 -218.33677999]\n", + " [-140.4709302 -11.47442929 437.9357193 69.19607625]\n", + " [ -22.19781768 -218.33677999 69.19607625 1316.99504091]]\n", + "Trace: 1836.1845473014766\n", + "Determinant: 2.4235558527048375e-07\n", + "Condition number: 3552241193.7281933\n", + "Minimal eigen value: 3.826832379168106e-07\n", + "Eigen values: [4.76801384e+02 1.35938316e+03 3.82683238e-07 9.77089123e-07]\n", + "Eigen vectors: [[ 0.30435587 -0.02558335 -0.82517706 -0.47517974]\n", + " [-0.0136924 -0.16297724 0.4923083 -0.85491725]\n", + " [-0.94886904 0.07975307 -0.26467782 -0.15242261]\n", + " [ 0.08262916 0.98306834 0.081615 -0.14173234]]\n" ] } ], @@ -343,7 +417,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 16, "id": "45846b75", "metadata": { "scrolled": true @@ -353,7 +427,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'A1': [0.0, -1.3458784592248199, -1.0385483121952266, -0.772695882173894, -0.560339810973275, -0.3986861347730904, -0.27953483124701517, -0.19371926171460974, -0.13297925229710228, 0.0, 0.018801764495640742, -0.27375866332576726, -0.49599304197192595, -0.6441402461551597, -0.7287383246019948, -0.7642734637353684, -0.7645933130666135, -0.741217445041441, 0.0, 1.3270766947291788, 1.3123069755209942, 1.2686889241458197, 1.204480057128435, 1.1274244593750853, 1.0438082949823837, 0.9583125747812232, 0.8741966973385431], 'A2': [0.0, 1.0601350874375237e-14, 3.7219761848013675e-14, 7.001042407814047e-14, -3.038489716262255e-15, 1.1667233751522319e-14, 7.298372564562177e-15, 4.943297764079331e-14, -1.5786854702152192e-14, 0.0, -1.3750510801411124, -1.3870904495350531, -1.4010951218632628, -1.4090999030693983, -1.4075749688207868, -1.3955391579179899, -1.3734111611853175, -1.342318213053259, 0.0, 1.3750510801411018, 1.3870904495350163, 1.4010951218631926, 1.4090999030694014, 1.4075749688207755, 1.3955391579179828, 1.3734111611852677, 1.3423182130532747], 'E1': [0.0, 2.2212180619446835, 2.0024245199350905, 1.636128172516024, 1.2634393624896285, 0.9404847190330924, 0.6822614769537773, 0.48556678817444193, 0.3405231951449452, 0.0, -0.04496873228138491, 0.16909787967602757, 0.49836125990994384, 0.7981648499899259, 1.0190150914431682, 1.1552862282061285, 1.2190281614200942, 1.2272672328718233, 0.0, -2.1762493296632983, -2.1715223996111184, -2.1344894324259673, -2.0616042124795544, -1.9594998104762607, -1.837547705159906, -1.7045949495945358, -1.567790428016768], 'E2': [0.0, -1.2006615972124777e-14, -2.515460595293241e-15, -1.0247311923725983e-14, 3.0603198715723814e-13, 1.7073933622828913e-13, 1.0682174736705473e-13, -1.3504765102330117e-13, 2.0153007984966958e-13, 0.0, 4.377559387907643, 4.863477003374318, 5.3176484276173674, 5.696623493794159, 5.98322317150289, 6.175209180267859, 6.27839956686196, 6.302539342722089, 0.0, -4.377559387907629, -4.863477003374316, -5.317648427617357, -5.6966234937944655, -5.983223171503063, -6.1752091802679665, -6.278399566861825, -6.302539342722291]}\n" + "{'A1': [0.0, -1.4671165590890227, -1.8357152068365619, -1.7226904875421638, -1.4369997189668664, -1.123769878739777, -0.8436636241097646, -0.6157817376807212, -0.44028049167005623, 0.0, 1.3746483033503585, 1.572137816755243, 1.2968075938896884, 0.8889609592193418, 0.49889409031680365, 0.1816240348008816, -0.052696729838216626, -0.21277443759229742, 0.0, 0.09246825573866417, 0.26357739008131853, 0.4258828936524754, 0.5480387597475251, 0.6248757884229735, 0.662039589308883, 0.6684784675189378, 0.6530549292623536], 'A2': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.10415985261133211, -0.33421945855873125, -0.6070924397057351, -0.8765488288347116, -1.1186035628981108, -1.3224828123370889, -1.4850662682437636, -1.6074920925304206, 0.0, 0.10415985261133211, 0.3342194585587313, 0.6070924397057351, 0.8765488288347116, 1.1186035628981108, 1.3224828123370889, 1.4850662682437636, 1.607492092530421], 'E1': [0.0, 4.5742833874281645, 5.723527229421871, 5.371130487231107, 4.480382899018335, 3.5037719776016862, 2.6304361957028166, 1.9199293713265588, 1.3727387414300443, 0.0, -4.2859790918564, -4.901726351174479, -4.043281630672637, -2.7716675424576813, -1.555488509269677, -0.5662807089187354, 0.1643017212077679, 0.6634037146661084, 0.0, -0.28830429557176335, -0.8218008782473901, -1.3278488565584685, -1.7087153565606543, -1.9482834683320098, -2.064155486784081, -2.0842310925343264, -2.0361424560961523], 'E2': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6283458314844178, 2.0161837629512003, 3.662294005332555, 5.28779360648709, 6.747992323427855, 7.977896872056377, 8.958683943333162, 9.69721951560984, 0.0, -0.6283458314844178, -2.0161837629512003, -3.6622940053325554, -5.28779360648709, -6.747992323427855, -7.977896872056377, -8.95868394333316, -9.697219515609842]}\n" ] } ], @@ -363,7 +437,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 17, "id": "64fc6da4", "metadata": {}, "outputs": [ @@ -373,10 +447,10 @@ "text": [ "======Result summary======\n", "Four design criteria log10() value:\n", - "A-optimality: 3.18515824788867\n", - "D-optimality: 5.82538159606173\n", - "E-optimality: -0.24407184549246372\n", - "Modified E-optimality: 3.3425215328114173\n" + "A-optimality: 3.2639163281979475\n", + "D-optimality: -6.615546967176211\n", + "E-optimality: -6.417160560089748\n", + "Modified E-optimality: 9.550502446281383\n" ] } ], diff --git a/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb index 0356007cd44..c7cc2ce4b07 100644 --- a/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb +++ b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb @@ -5,25 +5,15 @@ "execution_count": 1, "id": "41a5ca6d", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", - " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", - " (deprecated in 6.1) (called from :228)\n" - ] - } - ], + "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from pyomo.environ import *\n", "from pyomo.dae import *\n", "import pandas as pd\n", - "from sens import get_dsdp\n", - "#from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp, get_dfds_dcds\n", + "#from sens import get_dsdp\n", + "from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp, get_dfds_dcds\n", "#from idaes.apps.uncertainty_propagation.uncertainties import propagate_uncertainty\n", "#from idaes.apps.uncertainty_propagation.sens import get_dsdp\n", "import time" @@ -699,13 +689,13 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "id": "50a912a8", "metadata": {}, "outputs": [], "source": [ "scena_version = True\n", - "dae = True\n", + "dae = False\n", "\n", "sigma_p = np.array([[1, 0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0, 1]])\n", "\n", @@ -735,7 +725,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "id": "f6cc3bc2", "metadata": {}, "outputs": [ @@ -743,7 +733,102 @@ "name": "stdout", "output_type": "stream", "text": [ - "Total time: 0.583266019821167\n" + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", + "Pass the option square_override for the desired behaviour\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", + "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[0] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[0] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[1] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[1] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]Unresolved sigma values, is the mu computation successful? or is this a square problem?\n", + "Check the sigma_out file with the PRINT_VERBOSE (cmake) option set to 0\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.306474; Max residual ratio 1e-10.\n", + "\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 49\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 49\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:0\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:1\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:2\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:3\n", + "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 49, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 127\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 28\n", + "I[K_AUG]...\t[GET_HESS_ASL]Maximization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 31\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", + "I[MA57]...\t[]***\n", + " Runtime parameters:\n", + " Objective type: METIS_OBJTYPE_CUT\n", + " Coarsening type: Unknown!\n", + " Initial partitioning type: Unknown!\n", + " Refinement type: Unknown!\n", + " Perform a 2-hop matching: No\n", + " Number of balancing constraints: 1\n", + " Number of refinement iterations: 63416499\n", + " Random number seed: 0\n", + " Number of separators: 32767\n", + " Compress graph prior to ordering: No\n", + " Detect & order connected components separately: No\n", + " Prunning factor for high degree vertices: 53770240.000000\n", + " Allowed maximum load imbalance: 1.515 \n", + "\n", + "Input Error: Incorrect objective type.\n", + " nbrpool statistics\n", + " nbrpoolsize: 0 nbrpoolcpos: 0\n", + " nbrpoolreallocs: 0\n", + "\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 49\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 3.064743e-01 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 49\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.30647430733962483.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=49, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.00084, Fact 0.001268, Overall 0.001673.\n", + "Total time: 0.07697105407714844\n" ] } ], @@ -779,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 15, "id": "7d2b0b29", "metadata": {}, "outputs": [ @@ -787,8 +872,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "[array([-1.73027678e-02, -1.43679068e-20, 5.88178536e-01, -6.18669313e-19]), array([-2.16499185e-02, -1.78817089e-20, 7.35952626e-01, 1.30032101e-19]), array([-2.03169362e-02, -1.67507069e-20, 6.90640130e-01, 4.04848874e-19]), array([-1.69475781e-02, -1.39602479e-20, 5.76104461e-01, 4.55668554e-19]), array([-1.32534319e-02, -1.09113881e-20, 4.50528161e-01, 4.11692756e-19]), array([-9.94993600e-03, -8.18871930e-21, 3.38231367e-01, 3.36777622e-19]), array([-7.26235992e-03, -5.97533190e-21, 2.46871731e-01, 2.60252944e-19]), array([-5.19254665e-03, -4.27150657e-21, 1.76511904e-01, 1.93824012e-19]), array([ 1.62122226e-02, -2.80212228e-04, -5.51107284e-01, 4.17585033e-02]), array([ 0.01854136, -0.00089912, -0.63028238, 0.13399121]), array([ 0.01529419, -0.00163321, -0.51990033, 0.24338813]), array([ 0.01048416, -0.0023581 , -0.35639142, 0.35141531]), array([ 0.00588382, -0.00300928, -0.20001055, 0.44845695]), array([ 0.00214202, -0.00355776, -0.0728145 , 0.53019374]), array([-0.00062149, -0.00399515, 0.02112654, 0.59537473]), array([-0.0025094 , -0.0043245 , 0.08530294, 0.6444562 ]), array([ 0.00109055, 0.00028021, -0.03707125, -0.0417585 ]), array([ 0.00310856, 0.00089912, -0.10567025, -0.13399121]), array([ 0.00502275, 0.00163321, -0.1707398 , -0.24338813]), array([ 0.00646342, 0.0023581 , -0.21971304, -0.35141531]), array([ 0.00736961, 0.00300928, -0.25051761, -0.44845695]), array([ 0.00780791, 0.00355776, -0.26541687, -0.53019374]), array([ 0.00788385, 0.00399515, -0.26799827, -0.59537473]), array([ 0.00770195, 0.0043245 , -0.26181485, -0.6444562 ])]\n", - "{'A1': [-0.017302767775032663, -0.021649918524321302, -0.020316936206563024, -0.01694757814683754, -0.013253431865429818, -0.00994993600277886, -0.00726235992068888, -0.0051925466531954146, 0.01621222260143898, 0.01854135940504507, 0.015294190756140181, 0.010484160120454795, 0.005883819130284958, 0.0021420236614881115, -0.0006214907664507417, -0.002509403072608854, 0.0010905451735936827, 0.0031085591192762294, 0.005022745450422841, 0.006463418026382743, 0.00736961273514486, 0.007807912341290749, 0.00788385068713962, 0.007701949725804268], 'A2': [-1.4367906760887155e-20, -1.788170887954843e-20, -1.675070692303615e-20, -1.3960247885911163e-20, -1.0911388114739291e-20, -8.188719300379765e-21, -5.9753319005728495e-21, -4.271506571532792e-21, -0.00028021222784741314, -0.0008991216455749929, -0.0016332081739825041, -0.002358103340461496, -0.0030092822093800353, -0.0035577608811426156, -0.003995145059222827, -0.00432449664195851, 0.0002802122278474132, 0.0008991216455749931, 0.0016332081739825043, 0.0023581033404614956, 0.003009282209380035, 0.0035577608811426164, 0.003995145059222825, 0.004324496641958511], 'E1': [0.5881785358255172, 0.7359526258424283, 0.6906401302848271, 0.576104460846965, 0.45052816119512695, 0.3382313665514716, 0.24687173059979636, 0.17651190418732884, -0.5511072838850338, -0.6302823784533806, -0.5199003328567596, -0.3563914183664613, -0.20001055126607648, -0.07281449750112735, 0.021126535002540837, 0.08530294368123602, -0.03707125194048326, -0.10567024738904743, -0.17073979742806736, -0.21971304248050366, -0.2505176099290505, -0.2654168690503444, -0.2679982656023372, -0.26181484786856485], 'E2': [-6.186693129276197e-19, 1.3003210142466848e-19, 4.0484887429789663e-19, 4.556685540664023e-19, 4.1169275602496543e-19, 3.367776215144567e-19, 2.6025294362516643e-19, 1.938240123257332e-19, 0.04175850330414224, 0.1339912055087562, 0.2433881256842879, 0.3514153072141862, 0.44845695010826314, 0.5301937415502169, 0.5953747252133842, 0.6444561991431437, -0.04175850330414225, -0.1339912055087562, -0.24338812568428794, -0.3514153072141861, -0.4484569501082632, -0.530193741550217, -0.5953747252133842, -0.6444561991431438]}\n" + "['A1[0]', 'A2[0]', 'E1[0]', 'E2[0]', 'kp1[0,0.125]', 'kp1[0,0.25]', 'kp1[0,0.375]', 'kp1[0,0.5]', 'kp1[0,0.625]', 'kp1[0,0.75]', 'kp1[0,0.875]', 'kp1[0,1.0]', 'kp2[0,0.125]', 'kp2[0,0.25]', 'kp2[0,0.375]', 'kp2[0,0.5]', 'kp2[0,0.625]', 'kp2[0,0.75]', 'kp2[0,0.875]', 'kp2[0,1.0]', 'CA[0,0.0]', 'CA[0,0.125]', 'CA[0,0.25]', 'CA[0,0.375]', 'CA[0,0.5]', 'CA[0,0.625]', 'CA[0,0.75]', 'CA[0,0.875]', 'CA[0,1.0]', 'CB[0,0.0]', 'CB[0,0.125]', 'CB[0,0.25]', 'CB[0,0.375]', 'CB[0,0.5]', 'CB[0,0.625]', 'CB[0,0.75]', 'CB[0,0.875]', 'CB[0,1.0]', 'CC[0,0.0]', 'CC[0,0.125]', 'CC[0,0.25]', 'CC[0,0.375]', 'CC[0,0.5]', 'CC[0,0.625]', 'CC[0,0.75]', 'CC[0,0.875]', 'CC[0,1.0]', 'kp1[0,0.0]', 'kp2[0,0.0]']\n", + "[array([-0.01730277, 0. , 0.58817855, 0. ]), array([-0.02164992, 0. , 0.73595264, 0. ]), array([-0.02031694, 0. , 0.69064014, 0. ]), array([-0.01694758, 0. , 0.57610447, 0. ]), array([-0.01325343, 0. , 0.45052817, 0. ]), array([-0.00994994, 0. , 0.33823137, 0. ]), array([-0.00726236, 0. , 0.24687173, 0. ]), array([-0.00519255, 0. , 0.17651191, 0. ]), array([ 1.62122230e-02, -2.80212223e-04, -5.51107296e-01, 4.17585026e-02]), array([ 0.01854136, -0.00089912, -0.63028239, 0.1339912 ]), array([ 0.01529419, -0.00163321, -0.51990034, 0.24338812]), array([ 0.01048416, -0.0023581 , -0.35639143, 0.35141531]), array([ 0.00588382, -0.00300928, -0.20001056, 0.44845695]), array([ 0.00214202, -0.00355776, -0.0728145 , 0.53019374]), array([-0.00062149, -0.00399515, 0.02112653, 0.59537472]), array([-0.0025094 , -0.0043245 , 0.08530294, 0.6444562 ]), array([ 0.00109055, 0.00028021, -0.03707125, -0.0417585 ]), array([ 0.00310856, 0.00089912, -0.10567024, -0.1339912 ]), array([ 0.00502275, 0.00163321, -0.1707398 , -0.24338812]), array([ 0.00646342, 0.0023581 , -0.21971304, -0.35141531]), array([ 0.00736961, 0.00300928, -0.25051761, -0.44845695]), array([ 0.00780791, 0.00355776, -0.26541687, -0.53019374]), array([ 0.00788385, 0.00399515, -0.26799827, -0.59537472]), array([ 0.00770195, 0.0043245 , -0.26181485, -0.6444562 ])]\n", + "{'A1': [-0.017302768062948275, -0.021649918853920334, -0.020316936487103403, -0.016947578356858308, -0.013253432010906785, -0.009949936097907454, -0.007262359979840061, -0.005192546688136424, 0.01621222295777616, 0.01854135981070011, 0.015294191099087561, 0.010484160375055084, 0.005883819304777833, 0.0021420237740127726, -0.0006214906978029557, -0.002509403033164449, 0.0010905451051721235, 0.0031085590432202237, 0.0050227453880158385, 0.006463417981803218, 0.00736961270612895, 0.007807912323894682, 0.007883850677643018, 0.007701949721300874], 'A2': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0002802122229986705, -0.0008991216395208795, -0.0016332081683180376, -0.0023581033357561927, -0.003009282205722047, -0.0035577608784192203, -0.0039951450572583815, -0.004324496640577315, 0.00028021222299867053, 0.0008991216395208796, 0.0016332081683180378, 0.0023581033357561922, 0.0030092822057220464, 0.0035577608784192207, 0.003995145057258382, 0.004324496640577316], 'E1': [0.588178545612725, 0.7359526370465942, 0.6906401398213269, 0.5761044679862686, 0.4505281661403721, 0.33823136978520874, 0.24687173261054157, 0.1765119053750899, -0.5511072959981175, -0.6302823922429422, -0.5199003445146797, -0.35639142702117, -0.2000105571976681, -0.07281450132621356, 0.021126532668975344, 0.08530294234039044, -0.03707124961460761, -0.10567024480365193, -0.17073979530664712, -0.21971304096509836, -0.2505176089427041, -0.2654168684589952, -0.2679982652795169, -0.2618148477154804], 'E2': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.04175850258156051, 0.1339912046065446, 0.24338812484014322, 0.35141530651298036, 0.44845694956313303, 0.5301937411443641, 0.595374724920634, 0.6444561989373118, -0.04175850258156051, -0.13399120460654462, -0.2433881248401432, -0.35141530651298036, -0.4484569495631331, -0.5301937411443642, -0.595374724920634, -0.6444561989373119]}\n" ] } ], @@ -801,7 +887,8 @@ " dsdp_array = dsdp_re.toarray().T\n", " \n", " \n", - "timepoint = [0.125,0.25,0.375,0.5,0.625,0.75,0.875,1]\n", + "print(col)\n", + "timepoint = [0.125,0.25,0.375,0.5,0.625,0.75,0.875,1.0]\n", "index_list = []\n", "\n", "measure_name = []\n", From 77ae0a2161e81a58803544cd88b5bd58131566e2 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Wed, 15 Sep 2021 23:05:42 -0400 Subject: [PATCH 27/42] integrate multiple versions of kinetic models to be one model. add extra arguments to package --- pyomo/contrib/doe/fim_doe.py | 16 +- .../doe/fixed_bed_model_indexed_dynamic.py | 31 ++- pyomo/contrib/doe/reactor_control_doe.ipynb | 127 ++------- pyomo/contrib/doe/reactor_models.py | 254 ++++++++++++++++++ 4 files changed, 305 insertions(+), 123 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index b6725291f2f..473e90ee3ef 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -7,13 +7,13 @@ import pickle from itertools import permutations, product #from sens import get_dsdp -#from pyomo.contrib.sensitivity_toolbox.sens import sipopt, sensitivity_calculation +from pyomo.contrib.sensitivity_toolbox.sens import sipopt, sensitivity_calculation from idaes.apps.uncertainty_propagation.sens import get_dsdp #from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp class DesignOfExperiments: def __init__(self, param_init, design_variable_timepoints, measurement_variables, measurement_timeset, create_model, solver=None, - prior_FIM=None, discretize_model=None, verbose=True): + prior_FIM=None, discretize_model=None, verbose=True, args=None): ''' This package enables model-based design of experiments analysis with Pyomo. Both direct optimization and enumeration modes are supported. NLP sensitivity tools, e.g., sipopt and k_aug, are supported to accelerate analysis via enumeration. @@ -36,6 +36,7 @@ def __init__(self, param_init, design_variable_timepoints, measurement_variables prior_FIM: Fisher information matrix (FIM) for prior experiments, default=None discretize_model: A user-specified function that deiscretizes the model. Only use with Pyomo.DAE, default=None verbose: if print statements are made + args: Other arguments of the create_model function, in a list ''' # parameters @@ -53,6 +54,7 @@ def __init__(self, param_init, design_variable_timepoints, measurement_variables self.measurement_timeset = measurement_timeset # create_model() self.create_model = create_model + self.args = args # check if user-defined solver is given if solver is not None: self.solver = solver @@ -325,7 +327,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # TODO:(long term) add options to create model once and then update. only try this after the # package is completed and unitest is finished time0_build = time.time() - mod = self.create_model(scenario_iter) + mod = self.create_model(scenario_iter, self.args) time1_build = time.time() time_allbuild.append(time1_build-time0_build) @@ -412,7 +414,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # create model time0_build = time.time() - mod = self.create_model(scenario_all) + mod = self.create_model(scenario_all, self.args) time1_build = time.time() time_allbuild.append(time1_build - time0_build) @@ -424,7 +426,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No if self.mode =='sequential_sipopt': mod = self.__fix_design(mod, self.design_values, fix_opt=True) - mod.obj = Objective(rule=0.0, sense=minimize) + #mod.obj = Objective(rule=0.0, sense=minimize) # extract (discretized) time time_set = [] @@ -528,7 +530,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # create model time0_build = time.time() - mod = self.create_model(scenario_all) + mod = self.create_model(scenario_all, self.args) time1_build = time.time() time_build = time1_build - time0_build @@ -877,7 +879,7 @@ def __create_doe_model(self): scenario_all = scena_gen.simultaneous_scenario() # create model - m = self.create_model(scenario_all) + m = self.create_model(scenario_all, self.args) # discretize if discretization function is provided if self.discretize_model is not None: m = self.discretize_model(m) diff --git a/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py b/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py index 7cf4443e339..d798c5d1f2d 100644 --- a/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py +++ b/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py @@ -196,7 +196,7 @@ temp_base = 298.15 -def create_model(scena, temp=313.15, temp_bath=313.15, y=0.15, para=212, ua=5.0E6, opt = True, conti=False, optimize_trace=True, diff=0, eps=0.01, energy = True, doe_model=True, est_tr=False, est_ua=False, k_aug=False, temp_option=1, isotherm = True, chemsorb = True, physsorb = True, dispersion = False, fix_pres = False, v_fix=False): +def create_model(scena, temp_feed=313.15, temp_bath=313.15, y=0.15, para=212, ua=5.0E6, opt = True, conti=False, optimize_trace=True, diff=0, eps=0.01, energy = True, doe_model=True, est_tr=False, est_ua=False, k_aug=False, temp_option=1, isotherm = True, chemsorb = True, physsorb = True, dispersion = False, fix_pres = False, v_fix=False): ''' Creates a concrete Pyomo model and adds sets/parameters. Toggles are saved into the model object. @@ -249,8 +249,7 @@ def create_model(scena, temp=313.15, temp_bath=313.15, y=0.15, para=212, ua=5.0E m.dispersion = dispersion m.fix_pres = fix_pres m.v_fix = v_fix - - m.temp_bath = temp_bath + m.scena_all = scena m.scena = Set(initialize=scena['scena-name']) @@ -272,13 +271,13 @@ def create_model(scena, temp=313.15, temp_bath=313.15, y=0.15, para=212, ua=5.0E # Original bed temperature, [K] if m.doe_model: - m.temp_orig = Var(initialize=temp, bounds=(100, 600)) - elif m.conti: - m.temp_orig = Var(initialize=temp, bounds=(293, 373)) + m.temp_feed = Var(initialize=temp_feed, bounds=(100, 600)) + m.temp_bath = Var(initialize=temp_bath, bounds=(274, 600)) else: - m.temp_orig = temp + m.temp_feed = temp_feed + m.temp_bath = temp_bath - print('The inlet gas temperature is ', value(m.temp_orig)) + print('The inlet gas temperature is ', value(m.temp_feed)) if m.conti: m.yfeed = Var(m.COMPS, initialize=yfeed, bounds=(0.1,0.45), within=NonNegativeReals) @@ -307,7 +306,7 @@ def create_model(scena, temp=313.15, temp_bath=313.15, y=0.15, para=212, ua=5.0E m.den_inert = Param(initialize=totp_f*100/(m.temp_bath*RPV)) # Total feed density, [mol/m3] - m.totden_f = Param(initialize=totp_f*100/(m.temp_orig*RPV)) + m.totden_f = Param(initialize=totp_f*100/(m.temp_feed*RPV)) print('The inlet feed density is', value(m.totden_f), '[mol/m3]') @@ -344,9 +343,9 @@ def den_f_rule_doe(m,i): if not m.energy: # For continuous, temp and yfeed will be variable if m.conti: - m.temp = Var(initialize = m.temp_orig, bounds=(293.15, 373.15), within=NonNegativeReals) + m.temp = Var(initialize = m.temp_feed, bounds=(293.15, 373.15), within=NonNegativeReals) else: - m.temp = Param(initialize=m.temp_orig) + m.temp = Param(initialize=m.temp_feed) # define inv_k_oc, inv_k_op according to perturbation # inv_k_oc is in [1/s], therefore the k_trans is in [1/s] @@ -616,7 +615,7 @@ def add_variables(m,tf=3600, timesteps=None, start=0): # Temperature [K] if m.energy: # temperature is initialized to be the T_inlet. As this is the gas temperature, it should be started to be the inlet gas temperature. - #m.temp = Var(m.perturb, m.zgrid, m.t, initialize=value(m.temp_orig), bounds=(273.15,500.15), within=NonNegativeReals) + #m.temp = Var(m.perturb, m.zgrid, m.t, initialize=value(m.temp_feed), bounds=(273.15,500.15), within=NonNegativeReals) m.temp = Var(m.scena, m.zgrid, m.t, initialize=m.temp_bath, bounds=(273.15,500.15), within=NonNegativeReals) #m.temp = Var(m.perturb, m.zgrid, m.t, initialize=m.temp_water, bounds=(273.15,1000), within=NonNegativeReals) m.dTdt = DerivativeVar(m.temp, wrt=m.t) @@ -690,9 +689,9 @@ def h_feed_rule(m,i): h in [J/mol] ''' if i=='N2': - return 29*(m.temp_orig-temp_base) + 1.85E-3/2*(m.temp_orig**2-temp_base**2) - 9.65E-6/3*(m.temp_orig**3-temp_base**3) + 16.64E-9/4*(m.temp_orig**4-temp_base**4) -117/m.temp_orig + 117/temp_base + return 29*(m.temp_feed-temp_base) + 1.85E-3/2*(m.temp_feed**2-temp_base**2) - 9.65E-6/3*(m.temp_feed**3-temp_base**3) + 16.64E-9/4*(m.temp_feed**4-temp_base**4) -117/m.temp_feed + 117/temp_base elif i=='CO2': - return 25*(m.temp_orig-temp_base) + 55.19E-3/2*(m.temp_orig**2 - temp_base**2) - 33.69E-6/3*(m.temp_orig**3 - temp_base**3) + 7.95E-9/4*(m.temp_orig**4 - temp_base**4) +136638/m.temp_orig - 136638/temp_base + return 25*(m.temp_feed-temp_base) + 55.19E-3/2*(m.temp_feed**2 - temp_base**2) - 33.69E-6/3*(m.temp_feed**3 - temp_base**3) + 7.95E-9/4*(m.temp_feed**4 - temp_base**4) +136638/m.temp_feed - 136638/temp_base m.h_feed = Expression(m.COMPS, rule=h_feed_rule) @@ -2389,7 +2388,7 @@ def extract3(m,result): if m.energy: store = pd.DataFrame({'time': time, 'position':space, - 'T_inlet': m.temp_orig, + 'T_inlet': m.temp_feed, 'y_inlet': m.yfeed['CO2'], status: 0, 'fco2': FCO21, @@ -2465,7 +2464,7 @@ def extract3(m,result): # TODO: add the third set store = pd.DataFrame({'time': time, 'position':space, - 'T_inlet': m.temp_orig, + 'T_inlet': m.temp_feed, 'y_inlet': m.yfeed['CO2'], 'fco2': FCO21, 'den_N2': C_N21, diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 15ccb9dae6f..4a8d747a14d 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -147,12 +147,12 @@ "outputs": [], "source": [ "# choose model from 'dynamic-DAE', 'constant-DAE', 'constant-analytical'\n", - "#model_opt = 'dynamic-DAE'\n", + "model_opt = 'dynamic-DAE'\n", "#model_opt = 'constant-DAE'\n", - "model_opt = 'constant-analytical'\n", + "#model_opt = 'constant-analytical'\n", "\n", "if (model_opt=='dynamic-DAE'):\n", - " createmod = create_model_dae\n", + " createmod = create_model_overall\n", " disc = discretizer\n", " t_control = [0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", " \n", @@ -258,7 +258,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 6, "id": "d3ee5ff9", "metadata": {}, "outputs": [ @@ -266,7 +266,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Design variable: {'CA0': {0: 5}, 'T': {0: 300}}\n" + "Design variable: {'CA0': {0: 5}, 'T': {0: 570.21, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n" ] } ], @@ -289,7 +289,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 9, "id": "latin-medicare", "metadata": { "scrolled": true @@ -301,105 +301,32 @@ "text": [ "Sensitivity information is scaled by its corresponding parameter nominal value.\n", "===In construction===\n", - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", - "Pass the option square_override for the desired behaviour\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", - "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", - "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[96] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[96] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[97] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[97] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[98] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[98] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[99] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[99] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]Unresolved sigma values, is the mu computation successful? or is this a square problem?\n", - "Check the sigma_out file with the PRINT_VERBOSE (cmake) option set to 0\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", - "W[K_AUG]...\t[MA57_DRIVER]\n", - "\n", - "\t\tCould not fix the accuracy of the problem.\n", - "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", - "\t\tWarning: results might be incorrect.\n", - "\t\tCurrent residual ratio 0.135101; Max residual ratio 1e-10.\n", - "\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 585\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 585\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:96\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:97\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:98\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:99\n", - "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 585, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 1647\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 772\n", - "I[K_AUG]...\t[GET_HESS_ASL]Maximization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 295\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", - "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", - "I[MA57]...\t[]***\n", - "Input Error: Incorrect objective type.\n", - "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 585\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[Factorize Success.]***\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 1.351010e-01 \n", - "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", - "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", - "\n", - "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 585\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.1351009968528859.\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", - "\n", - "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=585, (neig == m).\n", - "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", - "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.004044, Fact 0.005394, Overall 0.006516.\n", - "Build time with direct kaug mode [s]: 0.023694992065429688\n", - "Solve time with direct kaug mode [s]: 0.21739578247070312\n", + "Pyomo.DAE option: False\n", + "Constant T option: True\n", + "K_aug formulation: True\n", + "Build time with direct kaug mode [s]: 0.022876977920532227\n", + "Solve time with direct kaug mode [s]: 0.4875650405883789\n", "Existed information has been added.\n", "FIM: [[ 45.05702919 3.68095005 -140.4709302 -22.19781768]\n", " [ 3.68095005 36.19675789 -11.47442929 -218.33677999]\n", " [-140.4709302 -11.47442929 437.9357193 69.19607625]\n", " [ -22.19781768 -218.33677999 69.19607625 1316.99504091]]\n", - "Trace: 1836.1845473014766\n", - "Determinant: 2.4235558527048375e-07\n", - "Condition number: 3552241193.7281933\n", - "Minimal eigen value: 3.826832379168106e-07\n", - "Eigen values: [4.76801384e+02 1.35938316e+03 3.82683238e-07 9.77089123e-07]\n", - "Eigen vectors: [[ 0.30435587 -0.02558335 -0.82517706 -0.47517974]\n", - " [-0.0136924 -0.16297724 0.4923083 -0.85491725]\n", - " [-0.94886904 0.07975307 -0.26467782 -0.15242261]\n", - " [ 0.08262916 0.98306834 0.081615 -0.14173234]]\n" + "Trace: 1836.184547301476\n", + "Determinant: 2.4235559755239796e-07\n", + "Condition number: 3552240869.595698\n", + "Minimal eigen value: 3.826832728356337e-07\n", + "Eigen values: [4.76801384e+02 1.35938316e+03 3.82683273e-07 9.77089146e-07]\n", + "Eigen vectors: [[ 0.30435587 0.02558335 0.82517709 -0.47517971]\n", + " [-0.0136924 0.16297724 -0.49230824 -0.85491727]\n", + " [-0.94886904 -0.07975307 0.26467783 -0.1524226 ]\n", + " [ 0.08262916 -0.98306834 -0.08161499 -0.14173234]]\n" ] } ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", - " prior_FIM=prior_pass, discretize_model=disc)\n", + " prior_FIM=prior_pass, discretize_model=disc, args=[False, True, True])\n", "\n", "\n", "if_s = True\n", @@ -417,7 +344,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 10, "id": "45846b75", "metadata": { "scrolled": true @@ -427,7 +354,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'A1': [0.0, -1.4671165590890227, -1.8357152068365619, -1.7226904875421638, -1.4369997189668664, -1.123769878739777, -0.8436636241097646, -0.6157817376807212, -0.44028049167005623, 0.0, 1.3746483033503585, 1.572137816755243, 1.2968075938896884, 0.8889609592193418, 0.49889409031680365, 0.1816240348008816, -0.052696729838216626, -0.21277443759229742, 0.0, 0.09246825573866417, 0.26357739008131853, 0.4258828936524754, 0.5480387597475251, 0.6248757884229735, 0.662039589308883, 0.6684784675189378, 0.6530549292623536], 'A2': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.10415985261133211, -0.33421945855873125, -0.6070924397057351, -0.8765488288347116, -1.1186035628981108, -1.3224828123370889, -1.4850662682437636, -1.6074920925304206, 0.0, 0.10415985261133211, 0.3342194585587313, 0.6070924397057351, 0.8765488288347116, 1.1186035628981108, 1.3224828123370889, 1.4850662682437636, 1.607492092530421], 'E1': [0.0, 4.5742833874281645, 5.723527229421871, 5.371130487231107, 4.480382899018335, 3.5037719776016862, 2.6304361957028166, 1.9199293713265588, 1.3727387414300443, 0.0, -4.2859790918564, -4.901726351174479, -4.043281630672637, -2.7716675424576813, -1.555488509269677, -0.5662807089187354, 0.1643017212077679, 0.6634037146661084, 0.0, -0.28830429557176335, -0.8218008782473901, -1.3278488565584685, -1.7087153565606543, -1.9482834683320098, -2.064155486784081, -2.0842310925343264, -2.0361424560961523], 'E2': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6283458314844178, 2.0161837629512003, 3.662294005332555, 5.28779360648709, 6.747992323427855, 7.977896872056377, 8.958683943333162, 9.69721951560984, 0.0, -0.6283458314844178, -2.0161837629512003, -3.6622940053325554, -5.28779360648709, -6.747992323427855, -7.977896872056377, -8.95868394333316, -9.697219515609842]}\n" + "{'A1': [0.0, -1.4671165590890225, -1.8357152068365619, -1.722690487542164, -1.436999718966866, -1.1237698787397767, -0.8436636241097639, -0.6157817376807208, -0.440280491670056, 0.0, 1.3746483033503534, 1.5721378167552442, 1.2968075938896884, 0.8889609592193416, 0.49889409031680404, 0.18162403480088152, -0.0526967298382166, -0.21277443759229722, 0.0, 0.09246825573866464, 0.2635773900813171, 0.42588289365247584, 0.5480387597475246, 0.6248757884229733, 0.6620395893088827, 0.6684784675189374, 0.6530549292623531], 'A2': [0.0, -2.67396665259387e-16, 0.0, -7.58251261673229e-17, -6.325029700984128e-17, -5.547826497973466e-17, -3.993531817630403e-17, -2.8306694555130276e-17, -1.982228180582284e-17, 0.0, -0.10415985261133505, -0.3342194585587297, -0.6070924397057351, -0.8765488288347117, -1.1186035628981097, -1.322482812337089, -1.485066268243763, -1.607492092530421, 0.0, 0.10415985261133212, 0.3342194585587286, 0.6070924397057355, 0.8765488288347114, 1.1186035628981104, 1.3224828123370893, 1.485066268243763, 1.6074920925304206], 'E1': [0.0, 4.574283387428164, 5.723527229421869, 5.371130487231108, 4.480382899018333, 3.5037719776016845, 2.630436195702816, 1.919929371326558, 1.3727387414300438, 0.0, -4.285979091856396, -4.9017263511744815, -4.043281630672638, -2.771667542457681, -1.5554885092696773, -0.5662807089187367, 0.16430172120776773, 0.6634037146661083, 0.0, -0.2883042955717651, -0.8218008782473859, -1.3278488565584703, -1.7087153565606525, -1.9482834683320085, -2.0641554867840815, -2.084231092534325, -2.0361424560961514], 'E2': [0.0, 2.4872604693488044e-15, -1.6477944911570346e-15, 2.9646796195692363e-16, 2.4730175333040003e-16, 1.4372866267913189e-16, 1.6258194254650208e-16, 1.0389086162984842e-16, 7.288952882636601e-17, 0.0, 0.6283458314844127, 2.0161837629511883, 3.662294005332556, 5.28779360648709, 6.747992323427851, 7.977896872056373, 8.958683943333156, 9.697219515609842, 0.0, -0.6283458314844181, -2.0161837629511847, -3.662294005332556, -5.28779360648709, -6.747992323427848, -7.977896872056375, -8.958683943333156, -9.697219515609843]}\n" ] } ], @@ -437,7 +364,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 11, "id": "64fc6da4", "metadata": {}, "outputs": [ @@ -448,9 +375,9 @@ "======Result summary======\n", "Four design criteria log10() value:\n", "A-optimality: 3.2639163281979475\n", - "D-optimality: -6.615546967176211\n", - "E-optimality: -6.417160560089748\n", - "Modified E-optimality: 9.550502446281383\n" + "D-optimality: -6.615546945167362\n", + "E-optimality: -6.417160520461539\n", + "Modified E-optimality: 9.550502406653173\n" ] } ], diff --git a/pyomo/contrib/doe/reactor_models.py b/pyomo/contrib/doe/reactor_models.py index 9981ec588f0..aa77819be1f 100644 --- a/pyomo/contrib/doe/reactor_models.py +++ b/pyomo/contrib/doe/reactor_models.py @@ -10,6 +10,260 @@ def discretizer(m, NFE=32): #m = discretizer.reduce_collocation_points(m, var=m.T, ncp=1, contset=m.t) return m +time_an = list(np.linspace(0,1,97)) +def create_model_overall(scena, options,controls={0: 300, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}, t_range=[0.0,1], CA_init=3, C_init=0.3, model_form='dae-index-1'): + ''' + This is an example user model provided to DoE library. + It is a dynamic problem solved by Pyomo.DAE. + + Arguments: + scena: a dictionary of scenarios, achieved from scenario_generator() + + Controlled time-dependent design variable: + - controls: a Dict, keys are control timepoints, values are the controlled T at that timepoint + + t_range: time range + + Time-independent design variable: + - CA_init: CA0 value + + C_init: An initial value for C + model_form: choose from 'ode-index-0' and 'dae-index-1' + + Return: + m: a Pyomo.DAE model + ''' + # parameters initialization, results from parameter estimation + theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + # concentration initialization + y_init = {'CA': CA_init, 'CB':0.0, 'CC':0.0} + + para_list = ['A1', 'A2', 'E1', 'E2'] + + if_dae = options[0] + if_constant = options[1] + if_kaug = options[2] + + print('Pyomo.DAE option:', options[0]) + print('Constant T option:', options[1]) + print('K_aug formulation:', options[2]) + + ### Add variables + m = ConcreteModel() + + m.CA_init = CA_init + m.para_list = para_list + t_control = list(controls.keys()) + + m.scena_all = scena + m.scena = Set(initialize=scena['scena-name']) + + if model_form == 'ode-index-0': + m.index1 = False + elif model_form == 'dae-index-1': + m.index1 = True + else: + raise ValueError('Please choose from "ode-index-0" and "dae-index-1"') + + # timepoints + if if_dae: + m.t = ContinuousSet(bounds=(t_range[0], t_range[1])) + else: + m.t = Set(initialize=time_an) + + # Control time points + if if_dae: + m.t_con = Set(initialize=t_control) + else: + m.t_con = Set(initialize=[0]) + + m.t0 = Set(initialize=[0]) + + # time-independent design variable + m.CA0 = Var(m.t0, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L + + # time-dependent design variable, initialized with the first control value + def T_initial(m,t): + if t in m.t_con: + return controls[t] + else: + # count how many control points are before the current t; + # locate the nearest neighbouring control point before this t + j = -1 + for t_con in m.t_con: + if t>t_con: + j+=1 + neighbour_t = t_control[j] + return controls[neighbour_t] + + if if_dae: + m.T = Var(m.t, initialize =T_initial, bounds=(300, 700), within=NonNegativeReals) + else: + m.T = Var(m.t, initialize = T_initial, bounds=(300, 700), within=NonNegativeReals) + + m.R = 8.31446261815324 # J / K / mole + + # Define parameters + if if_kaug: + m.A1 = Var(m.scena, initialize = m.scena_all['A1']) + m.A2 = Var(m.scena, initialize = m.scena_all['A2']) + m.E1 = Var(m.scena, initialize = m.scena_all['E1']) + m.E2 = Var(m.scena, initialize = m.scena_all['E2']) + else: + m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + # Concentration variables under perturbation + m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CB = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CC = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + + if if_dae: + # time derivative of C + m.dCAdt = DerivativeVar(m.CA, wrt=m.t) + m.dCBdt = DerivativeVar(m.CB, wrt=m.t) + m.dCCdt = DerivativeVar(m.CC, wrt=m.t) + + # kinetic parameters + def kp1_init(m,s,t): + return m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t])) + def kp2_init(m,s,t): + return m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t])) + + m.kp1 = Var(m.scena, m.t, initialize=kp1_init) + m.kp2 = Var(m.scena, m.t, initialize=kp2_init) + + + def T_control(m,t): + ''' + T at interval timepoint equal to the T of the control time point at the beginning of this interval + Count how many control points are before the current t; + locate the nearest neighbouring control point before this t + ''' + if t in m.t_con: + return Constraint.Skip + else: + j = -1 + for t_con in m.t_con: + if t>t_con: + j+=1 + neighbour_t = t_control[j] + return m.T[t] == m.T[neighbour_t] + + + def cal_kp1(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: scenario number + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) + + def cal_kp2(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: m.pert, upper or normal or lower perturbation + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) + + def dCAdt_control(m,z,t): + ''' + Calculate CA in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCAdt[z,t] == -m.kp1[z,t]*m.CA[z,t] + + def dCBdt_control(m,z,t): + ''' + Calculate CB in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCBdt[z,t] == m.kp1[z,t]*m.CA[z,t] - m.kp2[z,t]*m.CB[z,t] + + def dCCdt_control(m,z,t): + ''' + Calculate CC in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCCdt[z,t] == m.kp2[z,t]*m.CB[z,t] + + def alge(m,z,t): + ''' + The algebraic equation for mole balance + z: m.pert + t: time + ''' + return m.CA[z,t] + m.CB[z,t] + m.CC[z,t] == m.CA0[0] + + # Calculate model response variables + def CA_conc(m,z,t): + ''' + Calculate the model predictions + Argument: + z: scenario + t: timepoints + ''' + return m.CA[z,t] == m.CA0[0]*exp(-m.kp1[z,t]*t) + + def CB_conc(m,z,t): + ''' + Calculate the model predictions + Argument: + z: scenario + t: timepoints + ''' + return m.CB[z,t] == m.kp1[z,t]*m.CA0[0]/(m.kp2[z,t]-m.kp1[z,t]) * (exp(-m.kp1[z,t]*t) - exp(-m.kp2[z,t]*t)) + + def obj_rule(m): + return 0 + + m.Obj = Objective(rule=obj_rule, sense=maximize) + + + # calculating C, Jacobian, FIM + m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) + m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) + if if_dae: + m.dCAdt_rule = Constraint(m.scena, m.t, rule=dCAdt_control) + m.dCBdt_rule = Constraint(m.scena, m.t, rule=dCBdt_control) + # switch between DAE and ODE model + if m.index1: + m.alge_rule = Constraint(m.scena, m.t, rule=alge) + else: + m.dCCdt_rule = Constraint(m.scena, m.t, rule=dCCdt_control) + + if if_constant: + m.T_rule = Constraint(m.t, rule=T_control) + + else: + m.dCAdt_rule = Constraint(m.scena, m.t, rule=CA_conc) + m.dCBdt_rule = Constraint(m.scena, m.t, rule=CB_conc) + m.dCCdt_rule = Constraint(m.scena, m.t, rule=alge) + + if if_dae: + # B.C. + for z in m.scena: + # only ODE model needs this BC + if not m.index1: + m.CA[z,0.0].fix(value(m.CA0[0])) + m.CB[z,0.0].fix(0.0) + m.CC[z,0.0].fix(0.0) + + return m + + def create_model_dae(scena, const=False, controls={0: 300, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}, t_range=[0.0,1], CA_init=3, C_init=0.3, model_form='dae-index-1'): ''' From 54abe04439087253cc8f042ba8fbdced457a22a1 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Thu, 16 Sep 2021 09:58:31 -0400 Subject: [PATCH 28/42] before changing fixed bed --- pyomo/contrib/doe/reactor_control_doe.ipynb | 4934 ++++++++++++++++- .../doe/reactor_model_multipleversions.py | 572 ++ pyomo/contrib/doe/reactor_models.py | 576 -- 3 files changed, 5457 insertions(+), 625 deletions(-) create mode 100644 pyomo/contrib/doe/reactor_model_multipleversions.py diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index 4a8d747a14d..ebb713d757c 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -141,7 +141,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 12, "id": "d576e9c4", "metadata": {}, "outputs": [], @@ -151,18 +151,20 @@ "#model_opt = 'constant-DAE'\n", "#model_opt = 'constant-analytical'\n", "\n", + "createmod = create_model_overall\n", + "\n", "if (model_opt=='dynamic-DAE'):\n", - " createmod = create_model_overall\n", + " args_ = [True, False, False]\n", " disc = discretizer\n", " t_control = [0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", " \n", "elif (model_opt=='constant-DAE'):\n", - " createmod = create_model_dae_const\n", + " args_ = [True, True, False]\n", " disc = discretizer\n", " t_control = [0]\n", " \n", "elif (model_opt=='constant-analytical'):\n", - " createmod = create_model_alge\n", + " args_ = [False, True, False]\n", " disc = None\n", " t_control = [0]\n", "\n", @@ -258,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 13, "id": "d3ee5ff9", "metadata": {}, "outputs": [ @@ -273,10 +275,14 @@ "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", - "#sensi_opt = 'sequential_finite'\n", + "sensi_opt = 'sequential_finite'\n", "#sensi_opt = 'sequential_sipopt'\n", "#sensi_opt = 'sequential_kaug'\n", - "sensi_opt = 'direct_kaug'\n", + "#sensi_opt = 'direct_kaug'\n", + "\n", + "if sensi_opt == 'direct_kaug':\n", + " args_[2] = True\n", + " \n", "\n", "# Define experiments\n", "if (model_opt=='dynamic-DAE'):\n", @@ -289,7 +295,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 14, "id": "latin-medicare", "metadata": { "scrolled": true @@ -300,33 +306,710 @@ "output_type": "stream", "text": [ "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "===In construction===\n", - "Pyomo.DAE option: False\n", - "Constant T option: True\n", - "K_aug formulation: True\n", - "Build time with direct kaug mode [s]: 0.022876977920532227\n", - "Solve time with direct kaug mode [s]: 0.4875650405883789\n", - "Existed information has been added.\n", - "FIM: [[ 45.05702919 3.68095005 -140.4709302 -22.19781768]\n", - " [ 3.68095005 36.19675789 -11.47442929 -218.33677999]\n", - " [-140.4709302 -11.47442929 437.9357193 69.19607625]\n", - " [ -22.19781768 -218.33677999 69.19607625 1316.99504091]]\n", - "Trace: 1836.184547301476\n", - "Determinant: 2.4235559755239796e-07\n", - "Condition number: 3552240869.595698\n", - "Minimal eigen value: 3.826832728356337e-07\n", - "Eigen values: [4.76801384e+02 1.35938316e+03 3.82683273e-07 9.77089146e-07]\n", - "Eigen vectors: [[ 0.30435587 0.02558335 0.82517709 -0.47517971]\n", - " [-0.0136924 0.16297724 -0.49230824 -0.85491727]\n", - " [-0.94886904 -0.07975307 0.26467783 -0.1524226 ]\n", - " [ 0.08262916 -0.98306834 -0.08161499 -0.14173234]]\n" + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2867\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 773\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -0.0000000e+00 5.92e+01 1.52e+01 -1.0 2.28e+01 - 6.06e-02 9.91e-01f 1\n", + " 2 -0.0000000e+00 4.95e-03 6.04e-01 -1.0 6.04e+01 - 9.82e-01 1.00e+00h 1\n", + " 3 -0.0000000e+00 5.95e-02 2.36e+02 -1.0 1.43e+01 - 4.30e-01 1.00e+00f 1\n", + " 4 -0.0000000e+00 1.13e+00 4.14e+02 -1.0 6.90e+02 - 3.28e-02 1.29e-01f 1\n", + " 5 -0.0000000e+00 3.14e-01 2.08e+01 -1.0 4.31e+01 - 6.61e-01 1.00e+00f 1\n", + " 6 -0.0000000e+00 6.42e-01 2.72e+01 -1.0 6.86e+01 - 6.08e-01 1.00e+00f 1\n", + " 7 -0.0000000e+00 1.54e+00 2.26e+00 -1.0 1.18e+02 - 7.98e-01 8.81e-01h 1\n", + " 8 -0.0000000e+00 4.23e-01 1.39e-01 -1.0 5.51e+01 -4.0 1.00e+00 1.00e+00f 1\n", + " 9 -0.0000000e+00 6.28e-02 7.52e-02 -1.7 2.07e+01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -0.0000000e+00 1.57e+00 4.31e-01 -2.5 1.07e+02 - 6.13e-01 1.00e+00h 1\n", + " 11 -0.0000000e+00 6.78e-02 3.44e-04 -2.5 2.19e+01 - 1.00e+00 1.00e+00h 1\n", + " 12 -0.0000000e+00 3.36e-01 4.20e-04 -2.5 4.76e+01 - 1.00e+00 1.00e+00h 1\n", + " 13 -0.0000000e+00 9.13e-03 7.89e-06 -2.5 8.21e+00 - 1.00e+00 1.00e+00h 1\n", + " 14 -0.0000000e+00 5.69e-07 1.48e-06 -3.8 2.56e-02 - 1.00e+00 1.00e+00h 1\n", + " 15 -0.0000000e+00 6.83e-11 1.05e-09 -5.7 8.76e-04 - 1.00e+00 1.00e+00h 1\n", + " 16 -0.0000000e+00 8.15e-13 1.42e-12 -8.6 9.56e-05 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 16\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 1.4173432042291914e-12 1.4173432042291914e-12\n", + "Constraint violation....: 8.1534778928471496e-13 8.1534778928471496e-13\n", + "Complementarity.........: 2.5072632846406053e-09 2.5072632846406053e-09\n", + "Overall NLP error.......: 2.5072632846406053e-09 2.5072632846406053e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 17\n", + "Number of objective gradient evaluations = 17\n", + "Number of equality constraint evaluations = 17\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 17\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 16\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.013\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2867\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 773\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -0.0000000e+00 5.86e+01 1.52e+01 -1.0 2.26e+01 - 6.06e-02 9.91e-01f 1\n", + " 2 -0.0000000e+00 4.90e-03 6.05e-01 -1.0 5.98e+01 - 9.82e-01 1.00e+00h 1\n", + " 3 -0.0000000e+00 5.85e-02 2.36e+02 -1.0 1.43e+01 - 4.29e-01 1.00e+00f 1\n", + " 4 -0.0000000e+00 1.15e+00 4.17e+02 -1.0 6.96e+02 - 3.24e-02 1.29e-01f 1\n", + " 5 -0.0000000e+00 3.25e-01 2.12e+01 -1.0 4.43e+01 - 6.52e-01 1.00e+00f 1\n", + " 6 -0.0000000e+00 6.42e-01 2.66e+01 -1.0 6.82e+01 - 6.10e-01 1.00e+00f 1\n", + " 7 -0.0000000e+00 1.54e+00 1.61e+00 -1.0 1.05e+02 - 8.25e-01 9.86e-01h 1\n", + " 8 -0.0000000e+00 4.32e-01 1.47e-01 -1.0 5.73e+01 -4.0 1.00e+00 1.00e+00f 1\n", + " 9 -0.0000000e+00 4.41e-02 6.20e-02 -1.7 1.74e+01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -0.0000000e+00 2.08e+00 4.62e-01 -2.5 1.24e+02 - 5.71e-01 1.00e+00h 1\n", + " 11 -0.0000000e+00 5.46e-02 3.72e-04 -2.5 1.96e+01 - 1.00e+00 1.00e+00h 1\n", + " 12 -0.0000000e+00 2.48e-01 3.40e-04 -2.5 4.26e+01 - 1.00e+00 1.00e+00h 1\n", + " 13 -0.0000000e+00 9.92e-03 7.55e-06 -2.5 8.52e+00 - 1.00e+00 1.00e+00h 1\n", + " 14 -0.0000000e+00 7.61e-07 1.55e-06 -3.8 2.96e-02 - 1.00e+00 1.00e+00h 1\n", + " 15 -0.0000000e+00 5.86e-11 6.11e-10 -5.7 6.59e-04 - 1.00e+00 1.00e+00h 1\n", + " 16 -0.0000000e+00 7.08e-13 8.26e-13 -8.6 7.25e-05 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 16\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 8.2559462071391616e-13 8.2559462071391616e-13\n", + "Constraint violation....: 7.0787820050099981e-13 7.0787820050099981e-13\n", + "Complementarity.........: 2.5067062541277139e-09 2.5067062541277139e-09\n", + "Overall NLP error.......: 2.5067062541277139e-09 2.5067062541277139e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 17\n", + "Number of objective gradient evaluations = 17\n", + "Number of equality constraint evaluations = 17\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 17\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 16\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.012\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2867\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 773\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -0.0000000e+00 5.79e+01 1.52e+01 -1.0 2.19e+01 - 6.06e-02 9.91e-01f 1\n", + " 2 -0.0000000e+00 4.87e-03 6.15e-01 -1.0 5.91e+01 - 9.82e-01 1.00e+00h 1\n", + " 3 -0.0000000e+00 5.69e-02 2.49e+02 -1.0 1.44e+01 - 4.25e-01 1.00e+00f 1\n", + " 4 -0.0000000e+00 1.16e+00 4.37e+02 -1.0 7.65e+02 - 2.92e-02 1.18e-01f 1\n", + " 5 -0.0000000e+00 3.72e-01 2.39e+01 -1.0 4.85e+01 - 6.24e-01 1.00e+00f 1\n", + " 6 -0.0000000e+00 6.02e-01 2.52e+01 -1.0 6.64e+01 - 6.22e-01 1.00e+00f 1\n", + " 7 -0.0000000e+00 1.57e+00 1.57e+00 -1.0 9.16e+01 - 8.82e-01 1.00e+00h 1\n", + " 8 -0.0000000e+00 5.68e-02 1.71e-01 -1.0 1.58e+01 -4.0 1.00e+00 1.00e+00h 1\n", + " 9 -0.0000000e+00 1.03e-03 1.18e-02 -2.5 2.68e+00 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -0.0000000e+00 9.10e-02 1.21e-02 -3.8 2.51e+01 - 9.17e-01 1.00e+00h 1\n", + " 11 -0.0000000e+00 4.83e+00 6.58e-06 -3.8 1.98e+02 - 1.00e+00 1.00e+00h 1\n", + " 12 -0.0000000e+00 3.10e-01 3.18e-05 -3.8 4.88e+01 - 1.00e+00 1.00e+00h 1\n", + " 13 -0.0000000e+00 4.31e-02 3.25e-06 -3.8 1.87e+01 - 1.00e+00 1.00e+00h 1\n", + " 14 -0.0000000e+00 3.00e-04 2.22e-09 -3.8 1.84e+00 - 1.00e+00 1.00e+00h 1\n", + " 15 -0.0000000e+00 2.69e-10 2.59e-09 -5.7 1.29e-03 - 1.00e+00 1.00e+00h 1\n", + " 16 -0.0000000e+00 1.86e-13 2.36e-13 -8.6 1.42e-05 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 16\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 2.3578374411993631e-13 2.3578374411993631e-13\n", + "Constraint violation....: 8.5156510238448668e-14 1.8562928971732617e-13\n", + "Complementarity.........: 2.5060006116419943e-09 2.5060006116419943e-09\n", + "Overall NLP error.......: 2.5060006116419943e-09 2.5060006116419943e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 17\n", + "Number of objective gradient evaluations = 17\n", + "Number of equality constraint evaluations = 17\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 17\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 16\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.012\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2867\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 773\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -0.0000000e+00 5.86e+01 1.52e+01 -1.0 2.26e+01 - 6.06e-02 9.91e-01f 1\n", + " 2 -0.0000000e+00 4.97e-03 6.13e-01 -1.0 5.98e+01 - 9.82e-01 1.00e+00h 1\n", + " 3 -0.0000000e+00 5.96e-02 2.55e+02 -1.0 1.42e+01 - 4.30e-01 1.00e+00f 1\n", + " 4 -0.0000000e+00 1.02e+00 4.08e+02 -1.0 8.00e+02 - 2.80e-02 1.08e-01f 1\n", + " 5 -0.0000000e+00 3.32e-01 2.37e+01 -1.0 4.37e+01 - 6.53e-01 1.00e+00f 1\n", + " 6 -0.0000000e+00 6.04e-01 2.90e+01 -1.0 6.69e+01 - 6.15e-01 1.00e+00f 1\n", + " 7 -0.0000000e+00 1.51e+00 1.42e+00 -1.0 1.10e+02 - 8.13e-01 9.47e-01h 1\n", + " 8 -0.0000000e+00 4.16e-01 1.56e-01 -1.0 5.62e+01 -4.0 1.00e+00 1.00e+00f 1\n", + " 9 -0.0000000e+00 7.63e-02 8.26e-02 -1.7 2.31e+01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -0.0000000e+00 1.09e-04 9.64e-04 -2.5 8.26e-01 -4.5 1.00e+00 1.00e+00h 1\n", + " 11 -0.0000000e+00 3.64e-03 4.61e-04 -3.8 5.08e+00 - 1.00e+00 1.00e+00h 1\n", + " 12 -0.0000000e+00 4.47e-06 1.66e-06 -3.8 1.49e-01 -5.0 1.00e+00 1.00e+00h 1\n", + " 13 -0.0000000e+00 2.41e-04 5.59e-06 -5.7 1.31e+00 - 1.00e+00 1.00e+00h 1\n", + " 14 -0.0000000e+00 6.84e-09 2.01e-08 -5.7 5.42e-03 -5.4 1.00e+00 1.00e+00h 1\n", + " 15 -0.0000000e+00 3.05e-06 7.63e-09 -8.6 1.47e-01 - 1.00e+00 1.00e+00h 1\n", + " 16 -0.0000000e+00 2.43e-13 2.73e-11 -8.6 2.21e-05 -5.9 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 16\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 2.7281912437433930e-11 2.7281912437433930e-11\n", + "Constraint violation....: 1.4210854715202004e-13 2.4336088699783431e-13\n", + "Complementarity.........: 2.5059039648386803e-09 2.5059039648386803e-09\n", + "Overall NLP error.......: 2.5059039648386803e-09 2.5059039648386803e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 17\n", + "Number of objective gradient evaluations = 17\n", + "Number of equality constraint evaluations = 17\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 17\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 16\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.013\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2867\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 773\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 1.11e-15 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -0.0000000e+00 5.80e+01 1.52e+01 -1.0 2.23e+01 - 6.06e-02 9.91e-01f 1\n", + " 2 -0.0000000e+00 4.87e-03 6.09e-01 -1.0 5.92e+01 - 9.82e-01 1.00e+00h 1\n", + " 3 -0.0000000e+00 5.78e-02 2.42e+02 -1.0 1.43e+01 - 4.29e-01 1.00e+00f 1\n", + " 4 -0.0000000e+00 1.15e+00 4.25e+02 -1.0 7.18e+02 - 3.14e-02 1.25e-01f 1\n", + " 5 -0.0000000e+00 3.46e-01 2.26e+01 -1.0 4.63e+01 - 6.40e-01 1.00e+00f 1\n", + " 6 -0.0000000e+00 6.23e-01 2.61e+01 -1.0 6.76e+01 - 6.15e-01 1.00e+00f 1\n", + " 7 -0.0000000e+00 1.53e+00 1.91e+00 -1.0 9.34e+01 - 8.50e-01 1.00e+00h 1\n", + " 8 -0.0000000e+00 1.40e-01 1.68e-01 -1.0 2.96e+01 -4.0 1.00e+00 1.00e+00h 1\n", + " 9 -0.0000000e+00 7.37e-04 9.13e-03 -2.5 2.26e+00 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -0.0000000e+00 1.82e-02 6.21e-04 -3.8 1.12e+01 - 1.00e+00 1.00e+00h 1\n", + " 11 -0.0000000e+00 2.61e-06 2.00e-06 -3.8 5.99e-02 -4.5 1.00e+00 1.00e+00h 1\n", + " 12 -0.0000000e+00 1.98e-04 7.83e-06 -5.7 1.01e+00 - 1.00e+00 1.00e+00h 1\n", + " 13 -0.0000000e+00 1.36e-09 2.46e-08 -5.7 2.21e-03 -5.0 1.00e+00 1.00e+00h 1\n", + " 14 -0.0000000e+00 2.60e-06 1.03e-08 -8.6 1.20e-01 - 1.00e+00 1.00e+00h 1\n", + " 15 -0.0000000e+00 2.06e-13 3.39e-11 -8.6 9.16e-06 -5.4 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 15\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 3.3930513998325294e-11 3.3930513998325294e-11\n", + "Constraint violation....: 8.5492789794318718e-14 2.0605739337042905e-13\n", + "Complementarity.........: 2.5059039410060861e-09 2.5059039410060861e-09\n", + "Overall NLP error.......: 2.5059039410060861e-09 2.5059039410060861e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 16\n", + "Number of objective gradient evaluations = 16\n", + "Number of equality constraint evaluations = 16\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 16\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 15\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.012\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2867\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 773\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -0.0000000e+00 5.86e+01 1.52e+01 -1.0 2.26e+01 - 6.06e-02 9.91e-01f 1\n", + " 2 -0.0000000e+00 4.92e-03 6.07e-01 -1.0 5.98e+01 - 9.82e-01 1.00e+00h 1\n", + " 3 -0.0000000e+00 5.87e-02 2.41e+02 -1.0 1.43e+01 - 4.30e-01 1.00e+00f 1\n", + " 4 -0.0000000e+00 1.12e+00 4.22e+02 -1.0 7.11e+02 - 3.17e-02 1.26e-01f 1\n", + " 5 -0.0000000e+00 3.34e-01 2.21e+01 -1.0 4.50e+01 - 6.48e-01 1.00e+00f 1\n", + " 6 -0.0000000e+00 6.24e-01 2.68e+01 -1.0 6.79e+01 - 6.12e-01 1.00e+00f 1\n", + " 7 -0.0000000e+00 1.55e+00 2.15e+00 -1.0 1.03e+02 - 8.29e-01 1.00e+00h 1\n", + " 8 -0.0000000e+00 3.65e-01 1.55e-01 -1.0 5.32e+01 -4.0 1.00e+00 1.00e+00h 1\n", + " 9 -0.0000000e+00 4.57e-02 6.35e-02 -1.7 1.78e+01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -0.0000000e+00 5.13e+00 6.52e-01 -2.5 2.03e+02 - 4.02e-01 1.00e+00h 1\n", + " 11 -0.0000000e+00 8.22e-02 7.41e-04 -2.5 1.76e+01 - 1.00e+00 1.00e+00h 1\n", + " 12 -0.0000000e+00 2.94e-01 3.76e-04 -2.5 4.68e+01 - 1.00e+00 1.00e+00h 1\n", + " 13 -0.0000000e+00 2.70e-02 1.65e-05 -2.5 1.42e+01 - 1.00e+00 1.00e+00h 1\n", + " 14 -0.0000000e+00 4.50e-06 4.43e-06 -3.8 7.27e-02 - 1.00e+00 1.00e+00h 1\n", + " 15 -0.0000000e+00 3.49e-09 8.27e-09 -5.7 5.15e-03 - 1.00e+00 1.00e+00h 1\n", + " 16 -0.0000000e+00 4.34e-11 1.11e-11 -8.6 5.75e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 16\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 1.1134029411924323e-11 1.1134029411924323e-11\n", + "Constraint violation....: 4.3442582864372525e-11 4.3442582864372525e-11\n", + "Complementarity.........: 2.5101974367200565e-09 2.5101974367200565e-09\n", + "Overall NLP error.......: 2.5101974367200565e-09 2.5101974367200565e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 17\n", + "Number of objective gradient evaluations = 17\n", + "Number of equality constraint evaluations = 17\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 17\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 16\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.012\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2867\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 773\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -0.0000000e+00 5.93e+01 1.52e+01 -1.0 2.32e+01 - 6.06e-02 9.91e-01f 1\n", + " 2 -0.0000000e+00 4.95e-03 5.97e-01 -1.0 6.06e+01 - 9.82e-01 1.00e+00h 1\n", + " 3 -0.0000000e+00 6.04e-02 2.29e+02 -1.0 1.43e+01 - 4.34e-01 1.00e+00f 1\n", + " 4 -0.0000000e+00 1.12e+00 4.02e+02 -1.0 6.51e+02 - 3.50e-02 1.36e-01f 1\n", + " 5 -0.0000000e+00 2.92e-01 1.95e+01 -1.0 4.10e+01 - 6.77e-01 1.00e+00f 1\n", + " 6 -0.0000000e+00 6.64e-01 2.81e+01 -1.0 6.97e+01 - 6.02e-01 1.00e+00f 1\n", + " 7 -0.0000000e+00 1.58e+00 1.03e+01 -1.0 1.57e+02 - 7.23e-01 6.60e-01h 1\n", + " 8 -0.0000000e+00 1.52e+00 8.98e+00 -1.0 1.14e+03 - 8.51e-02 3.29e-02h 2\n", + " 9 -0.0000000e+00 3.60e-01 2.09e-01 -1.0 4.62e+01 -4.0 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -0.0000000e+00 1.04e-01 1.15e-01 -1.7 2.66e+01 - 9.82e-01 1.00e+00h 1\n", + " 11 -0.0000000e+00 2.69e+00 6.81e-01 -2.5 3.29e+02 - 4.59e-01 1.00e+00H 1\n", + " 12 -0.0000000e+00 3.86e-02 5.21e-04 -2.5 1.65e+01 - 1.00e+00 1.00e+00h 1\n", + " 13 -0.0000000e+00 4.00e-01 1.04e-03 -2.5 5.41e+01 - 1.00e+00 1.00e+00h 1\n", + " 14 -0.0000000e+00 4.28e-02 6.64e-06 -2.5 1.77e+01 - 1.00e+00 1.00e+00h 1\n", + " 15 -0.0000000e+00 4.91e-05 3.76e-08 -2.5 6.05e-01 - 1.00e+00 1.00e+00h 1\n", + " 16 -0.0000000e+00 2.44e-11 3.79e-09 -3.8 4.27e-04 - 1.00e+00 1.00e+00h 1\n", + " 17 -0.0000000e+00 4.89e-13 5.73e-11 -5.7 6.02e-05 - 1.00e+00 1.00e+00h 1\n", + " 18 -0.0000000e+00 2.25e-13 7.77e-14 -8.6 6.58e-06 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 18\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 7.7705647845246195e-14 7.7705647845246195e-14\n", + "Constraint violation....: 9.3231361284321713e-14 2.2470914018413171e-13\n", + "Complementarity.........: 2.5059846637484349e-09 2.5059846637484349e-09\n", + "Overall NLP error.......: 2.5059846637484349e-09 2.5059846637484349e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 23\n", + "Number of objective gradient evaluations = 19\n", + "Number of equality constraint evaluations = 23\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 19\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 18\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.013\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2867\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 281\n", + "\n", + "Total number of variables............................: 861\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 88\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 773\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -0.0000000e+00 5.86e+01 1.52e+01 -1.0 2.26e+01 - 6.06e-02 9.91e-01f 1\n", + " 2 -0.0000000e+00 4.85e-03 5.99e-01 -1.0 5.98e+01 - 9.82e-01 1.00e+00h 1\n", + " 3 -0.0000000e+00 5.77e-02 2.23e+02 -1.0 1.45e+01 - 4.29e-01 1.00e+00f 1\n", + " 4 -0.0000000e+00 1.27e+00 4.30e+02 -1.0 6.28e+02 - 3.61e-02 1.49e-01f 1\n", + " 5 -0.0000000e+00 3.22e-01 1.97e+01 -1.0 4.52e+01 - 6.48e-01 1.00e+00f 1\n", + " 6 -0.0000000e+00 6.54e-01 2.45e+01 -1.0 6.89e+01 - 6.08e-01 1.00e+00f 1\n", + " 7 -0.0000000e+00 1.53e+00 1.85e+00 -1.0 9.94e+01 - 8.39e-01 1.00e+00h 1\n", + " 8 -0.0000000e+00 2.73e-01 1.40e-01 -1.0 4.46e+01 -4.0 1.00e+00 1.00e+00h 1\n", + " 9 -0.0000000e+00 3.49e-02 5.40e-02 -1.7 1.49e+01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -0.0000000e+00 9.24e-01 2.76e-01 -2.5 8.10e+01 - 7.39e-01 1.00e+00h 1\n", + " 11 -0.0000000e+00 2.08e-01 2.97e-04 -2.5 4.18e+01 - 1.00e+00 1.00e+00h 1\n", + " 12 -0.0000000e+00 2.08e-01 2.00e-04 -2.5 3.66e+01 - 1.00e+00 1.00e+00h 1\n", + " 13 -0.0000000e+00 3.63e-03 3.18e-06 -2.5 4.58e+00 - 1.00e+00 1.00e+00h 1\n", + " 14 -0.0000000e+00 4.63e-08 3.37e-07 -3.8 1.60e-02 - 1.00e+00 1.00e+00h 1\n", + " 15 -0.0000000e+00 6.04e-10 3.04e-09 -5.7 2.57e-03 - 1.00e+00 1.00e+00h 1\n", + " 16 -0.0000000e+00 7.22e-12 4.13e-12 -8.6 2.81e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 16\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 4.1257577426197636e-12 4.1257577426197636e-12\n", + "Constraint violation....: 7.2173378384832176e-12 7.2173378384832176e-12\n", + "Complementarity.........: 2.5078708813684584e-09 2.5078708813684584e-09\n", + "Overall NLP error.......: 2.5078708813684584e-09 2.5078708813684584e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 17\n", + "Number of objective gradient evaluations = 17\n", + "Number of equality constraint evaluations = 17\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 17\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 16\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.012\n", + "Total CPU secs in NLP function evaluations = 0.001\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Build time with sequential_finite mode [s]: 0.030359983444213867\n", + "Solve time with sequential_finite mode [s]: 0.689023494720459\n", + "Existed information has been added.\n", + "FIM: [[ 444.73444486 60.16555026 -72.0389764 -709.54690683]\n", + " [ 60.16555026 33.90006296 8.59147417 -252.92817324]\n", + " [ -72.0389764 8.59147417 278.77444283 -64.27418769]\n", + " [-709.54690683 -252.92817324 -64.27418769 2108.61447957]]\n", + "Trace: 2866.023430223978\n", + "Determinant: 7436356.140962985\n", + "Condition number: 34474.36334812389\n", + "Minimal eigen value: 0.06958527991997998\n", + "Eigen values: [2.39890822e+03 3.33446806e+02 1.33598815e+02 6.95852799e-02]\n", + "Eigen vectors: [[ 0.34161842 0.49673667 -0.78580509 0.13805759]\n", + " [ 0.10857518 -0.05915107 0.18121947 0.97563932]\n", + " [ 0.01712901 -0.85110267 -0.5229036 0.04361949]\n", + " [-0.93338892 0.15930498 -0.27611896 0.16481917]]\n" ] } ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", - " prior_FIM=prior_pass, discretize_model=disc, args=[False, True, True])\n", + " prior_FIM=prior_pass, discretize_model=disc, args=args_)\n", "\n", "\n", "if_s = True\n", @@ -344,7 +1027,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 15, "id": "45846b75", "metadata": { "scrolled": true @@ -354,7 +1037,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'A1': [0.0, -1.4671165590890225, -1.8357152068365619, -1.722690487542164, -1.436999718966866, -1.1237698787397767, -0.8436636241097639, -0.6157817376807208, -0.440280491670056, 0.0, 1.3746483033503534, 1.5721378167552442, 1.2968075938896884, 0.8889609592193416, 0.49889409031680404, 0.18162403480088152, -0.0526967298382166, -0.21277443759229722, 0.0, 0.09246825573866464, 0.2635773900813171, 0.42588289365247584, 0.5480387597475246, 0.6248757884229733, 0.6620395893088827, 0.6684784675189374, 0.6530549292623531], 'A2': [0.0, -2.67396665259387e-16, 0.0, -7.58251261673229e-17, -6.325029700984128e-17, -5.547826497973466e-17, -3.993531817630403e-17, -2.8306694555130276e-17, -1.982228180582284e-17, 0.0, -0.10415985261133505, -0.3342194585587297, -0.6070924397057351, -0.8765488288347117, -1.1186035628981097, -1.322482812337089, -1.485066268243763, -1.607492092530421, 0.0, 0.10415985261133212, 0.3342194585587286, 0.6070924397057355, 0.8765488288347114, 1.1186035628981104, 1.3224828123370893, 1.485066268243763, 1.6074920925304206], 'E1': [0.0, 4.574283387428164, 5.723527229421869, 5.371130487231108, 4.480382899018333, 3.5037719776016845, 2.630436195702816, 1.919929371326558, 1.3727387414300438, 0.0, -4.285979091856396, -4.9017263511744815, -4.043281630672638, -2.771667542457681, -1.5554885092696773, -0.5662807089187367, 0.16430172120776773, 0.6634037146661083, 0.0, -0.2883042955717651, -0.8218008782473859, -1.3278488565584703, -1.7087153565606525, -1.9482834683320085, -2.0641554867840815, -2.084231092534325, -2.0361424560961514], 'E2': [0.0, 2.4872604693488044e-15, -1.6477944911570346e-15, 2.9646796195692363e-16, 2.4730175333040003e-16, 1.4372866267913189e-16, 1.6258194254650208e-16, 1.0389086162984842e-16, 7.288952882636601e-17, 0.0, 0.6283458314844127, 2.0161837629511883, 3.662294005332556, 5.28779360648709, 6.747992323427851, 7.977896872056373, 8.958683943333156, 9.697219515609842, 0.0, -0.6283458314844181, -2.0161837629511847, -3.662294005332556, -5.28779360648709, -6.747992323427848, -7.977896872056375, -8.958683943333156, -9.697219515609843]}\n" + "{'A1': [0.0, -3.6606054667029047, -2.3635239079111026, -1.6150093116358288, -1.0903633700746014, -0.7260229165519549, -0.48266087544115777, -0.33421599778240446, -0.29551645276085936, 0.0, 0.2896180336036336, -0.7633655968353416, -1.3662693127746153, -1.835098699600124, -2.3060862988616426, -2.9903008443893375, -4.506776317240912, -11.571227909032684, 0.0, 3.3709874330992267, 3.1268895047464884, 2.981278624410444, 2.925462069674678, 3.032109215413592, 3.472961719830492, 4.840992315023285, 11.866744361793536], 'A2': [0.0, 0.2913907028615048, 0.22621018043024188, 0.15686416249269808, 0.10340170647900326, 0.06565638369605414, 0.04002712884921822, 0.022822113782026282, 0.009991438111041102, 0.0, -0.5173616100142109, -0.7401246889483959, -0.9436940316240205, -1.1075576934014952, -1.21552642763052, -1.2561526639995213, -1.2117065264168558, -1.007508459687373, 0.0, 0.2259709071527116, 0.5139145085181318, 0.7868298691313447, 1.0041559869225392, 1.1498700439344756, 1.216125535150292, 1.1888844126348275, 0.9975170215763107], 'E1': [0.0, 2.728697550761483, 3.0542201609539577, 2.5438107628898696, 1.8562812257867103, 1.2413497109973985, 0.7664773641547926, 0.4253371429969881, 0.17743401568293143, 0.0, -2.921693076930265, -3.1525808123036514, -2.530766268204454, -1.8019326509673084, -1.2169155625736394, -0.8202675835161877, -0.5728033239638441, -0.313698533619522, 0.0, 0.19299552616880436, 0.09836065134969374, -0.013044494685399144, -0.05434857481938504, -0.024434148423790884, 0.05379021936138262, 0.1474661809668376, 0.13626451793657957], 'E2': [0.0, 0.19402580041802953, -0.3835880995866847, -0.3536660346958709, -0.2363748191570619, -0.12581819097817332, -0.03829067234768918, 0.034860203378971055, 0.14403488348751692, 0.0, 3.678578077559247, 5.6529816010108425, 7.071342208971565, 8.202101460177769, 9.096359726627234, 9.86818976254228, 10.95740169757894, 16.323038213204278, 0.0, -3.872603877977268, -5.269393501424203, -6.7176761742757, -7.965726641020687, -8.97054153564909, -9.829899090194584, -10.992261900957878, -16.467073096691774]}\n" ] } ], @@ -364,7 +1047,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 16, "id": "64fc6da4", "metadata": {}, "outputs": [ @@ -374,10 +1057,10 @@ "text": [ "======Result summary======\n", "Four design criteria log10() value:\n", - "A-optimality: 3.2639163281979475\n", - "D-optimality: -6.615546945167362\n", - "E-optimality: -6.417160520461539\n", - "Modified E-optimality: 9.550502406653173\n" + "A-optimality: 3.4572797365063326\n", + "D-optimality: 6.871360180770548\n", + "E-optimality: -1.1574826213901612\n", + "Modified E-optimality: 4.5374962546317965\n" ] } ], @@ -465,16 +1148,51 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "id": "wicked-raising", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "ename": "ValueError", + "evalue": "The NL writer has detected multiple active objective functions on model unknown, but currently only handles a single objective.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_19381/1251008884.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m prior_FIM=prior_pass, discretize_model=disc, args=args_)\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, \n\u001b[0m\u001b[1;32m 6\u001b[0m \u001b[0mscale_nominal_param_value\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobjective_option\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'det'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m L_initial=None)\n", + "\u001b[0;32m~/pyomo/pyomo/contrib/doe/fim_doe.py\u001b[0m in \u001b[0;36moptimize_doe\u001b[0;34m(self, design_values, if_optimize, objective_option, scale_nominal_param_value, scale_constant_value, if_Cholesky, L_LB, L_initial, formula, step, check)\u001b[0m\n\u001b[1;32m 170\u001b[0m \u001b[0;31m# result_square: solver result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 171\u001b[0m \u001b[0mtime0_solve\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 172\u001b[0;31m \u001b[0mresult_square\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__solve_doe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfix\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 173\u001b[0m \u001b[0mtime1_solve\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 174\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/pyomo/pyomo/contrib/doe/fim_doe.py\u001b[0m in \u001b[0;36m__solve_doe\u001b[0;34m(self, m, fix)\u001b[0m\n\u001b[1;32m 1125\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1126\u001b[0m \u001b[0;31m# if user gives solver, use this solver. if not, use default IPOPT solver\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1127\u001b[0;31m \u001b[0msolver_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msolver\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmod\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mtee\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtee_opt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1129\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0msolver_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/opt/base/solvers.py\u001b[0m in 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"\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/opt/solver/shellcmd.py\u001b[0m in \u001b[0;36m_presolve\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m 203\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_define_signal_handlers\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'use_signal_handling'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 204\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 205\u001b[0;31m \u001b[0mOptSolver\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_presolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0mtmpkw\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'capabilities'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhas_capability\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 100\u001b[0;31m \u001b[0mproblem_files\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msymbol_map\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconverter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mtmp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mtmpkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 101\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mproblem_files\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mptype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msymbol_map\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 102\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/solvers/plugins/converter/model.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m 178\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mproblem_filename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msymbol_map_id\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 180\u001b[0;31m instance.write(\n\u001b[0m\u001b[1;32m 181\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mproblem_filename\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 182\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/core/base/block.py\u001b[0m in \u001b[0;36mwrite\u001b[0;34m(self, filename, format, solver_capability, io_options)\u001b[0m\n\u001b[1;32m 1803\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0msolver_capability\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1804\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0msolver_capability\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1805\u001b[0;31m (filename, smap) = problem_writer(self,\n\u001b[0m\u001b[1;32m 1806\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1807\u001b[0m \u001b[0msolver_capability\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32mpyomo/repn/plugins/ampl/ampl_.pyx\u001b[0m in \u001b[0;36mpyomo.repn.plugins.ampl.ampl_.ProblemWriter_nl.__call__\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpyomo/repn/plugins/ampl/ampl_.pyx\u001b[0m in \u001b[0;36mpyomo.repn.plugins.ampl.ampl_.ProblemWriter_nl.__call__\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpyomo/repn/plugins/ampl/ampl_.pyx\u001b[0m in \u001b[0;36mpyomo.repn.plugins.ampl.ampl_.ProblemWriter_nl.__call__\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpyomo/repn/plugins/ampl/ampl_.pyx\u001b[0m in \u001b[0;36mpyomo.repn.plugins.ampl.ampl_.ProblemWriter_nl._print_model_NL\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mValueError\u001b[0m: The NL writer has detected multiple active objective functions on model unknown, but currently only handles a single objective." + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", - " prior_FIM=prior_pass, discretize_model=disc)\n", + " prior_FIM=prior_pass, discretize_model=disc, args=args_)\n", "\n", "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, \n", " scale_nominal_param_value=True, objective_option='det', \n", @@ -526,7 +1244,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "id": "427c7dc8", "metadata": {}, "outputs": [], @@ -541,24 +1259,3867 @@ "if (model_opt=='dynamic-DAE'):\n", " exp1 = generate_exp(t_control, 5, [570.21, 300, 300, 300, 300, 300, 300, 300, 300])\n", "else: \n", - " exp1 = generate_exp(t_control, 5, [500])" + " exp1 = generate_exp(t_control, 5, [500])\n", + " \n", + "# choose from 'simultaneous', 'sequential', 'sipopt'\n", + "#sensi_opt = 'simultaneous_finite'\n", + "sensi_opt = 'sequential_finite'\n", + "#sensi_opt = 'sequential_sipopt'\n", + "#sensi_opt = 'sequential_kaug'\n", + "#sensi_opt = 'direct_kaug'\n", + "\n", + "if sensi_opt == 'direct_kaug':\n", + " args_[2] = True" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "id": "dcfae212", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "81 design vectors will be searched.\n", + "=======This is the 1 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.031255245208740234\n", + "Solve time with sequential_finite mode [s]: 0.7238433361053467\n", + "Existed information has been added.\n", + "FIM: [[ 22.89768091 1.53928806 -71.14450502 -9.57572471]\n", + " [ 1.53928806 18.72886613 -5.18660436 -112.25334943]\n", + " [ -71.14450502 -5.18660436 221.30417007 31.75702036]\n", + " [ -9.57572471 -112.25334943 31.75702036 673.61550826]]\n", + "Trace: 936.546225376841\n", + "Determinant: 10.710585826224152\n", + "Condition number: 476578.8513326353\n", + "Minimal eigen value: 0.0014579504543034561\n", + "Eigen values: [6.94828353e+02 2.41672666e+02 4.37487245e-02 1.45795045e-03]\n", + "Eigen vectors: [[ 0.02191752 0.30541511 -0.68324357 0.66288721]\n", + " [ 0.16391419 -0.01269612 0.68664422 0.70816005]\n", + " [-0.07105831 -0.9493116 -0.22011526 0.21285551]\n", + " [-0.98366787 0.07326594 0.11509652 0.11739854]]\n", + "This is the 1 run out of 81 run.\n", + "The code has run 1.2194 seconds.\n", + "Estimated remaining time: 97.5498 seconds\n", + "=======This is the 2 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03217744827270508\n", + "Solve time with sequential_finite mode [s]: 0.7449314594268799\n", + "Existed information has been added.\n", + "FIM: [[ 22.89405831 1.54306883 -71.13974268 -9.54074762]\n", + " [ 1.54306883 18.73764863 -5.18478387 -112.522534 ]\n", + " [ -71.13974268 -5.18478387 221.29156148 31.7053344 ]\n", + " [ -9.54074762 -112.522534 31.7053344 676.09482294]]\n", + "Trace: 939.0180913676088\n", + "Determinant: 2.515342565860301\n", + "Condition number: 1459565.0748267088\n", + "Minimal eigen value: 0.00047774897458528846\n", + "Eigen values: [6.97305718e+02 2.41680654e+02 3.12415277e-02 4.77748975e-04]\n", + "Eigen vectors: [[ 0.0217337 0.30542589 -0.78747908 0.53490128]\n", + " [ 0.16371593 -0.01252622 0.5540315 0.81614293]\n", + " [-0.07055422 -0.94935001 -0.25353286 0.17169085]\n", + " [-0.98374125 0.07275078 0.09298864 0.13532773]]\n", + "This is the 2 run out of 81 run.\n", + "The code has run 2.4013 seconds.\n", + "Estimated remaining time: 94.8521 seconds\n", + "=======This is the 3 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.02929997444152832\n", + "Solve time with sequential_finite mode [s]: 0.6969621181488037\n", + "Existed information has been added.\n", + "FIM: [[ 22.87411481 1.5664198 -71.10291428 -9.628807 ]\n", + " [ 1.5664198 18.73894087 -5.22923555 -112.56406816]\n", + " [ -71.10291428 -5.22923555 221.22266035 31.85730265]\n", + " [ -9.628807 -112.56406816 31.85730265 676.48995528]]\n", + "Trace: 939.3256713048338\n", + "Determinant: 2.992364676895625\n", + "Condition number: 1042395.9075959717\n", + "Minimal eigen value: 0.0006693494747720002\n", + "Eigen values: [6.97727153e+02 2.41571325e+02 2.65234850e-02 6.69349475e-04]\n", + "Eigen vectors: [[ 0.02187829 0.30534706 -0.79133486 0.52921985]\n", + " [ 0.16367981 -0.01248524 0.54816603 0.82010185]\n", + " [-0.07082899 -0.94935157 -0.25465552 0.16989828]\n", + " [-0.98372431 0.07306773 0.09194411 0.13599218]]\n", + "This is the 3 run out of 81 run.\n", + "The code has run 3.5239 seconds.\n", + "Estimated remaining time: 91.6220 seconds\n", + "=======This is the 4 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03302955627441406\n", + "Solve time with sequential_finite mode [s]: 0.7390789985656738\n", + "Existed information has been added.\n", + "FIM: [[ 22.8711399 1.56860694 -71.04445898 -9.72796643]\n", + " [ 1.56860694 18.78141999 -5.31708003 -112.63935839]\n", + " [ -71.04445898 -5.31708003 220.99654119 32.47945828]\n", + " [ -9.72796643 -112.63935839 32.47945828 676.13801313]]\n", + "Trace: 938.7871142102133\n", + "Determinant: 6.459345559940871\n", + "Condition number: 794746.2423095551\n", + "Minimal eigen value: 0.0008776443646264918\n", + "Eigen values: [6.97504561e+02 2.41237936e+02 4.37398506e-02 8.77644365e-04]\n", + "Eigen vectors: [[ 0.02216472 0.30541737 -0.76461078 0.56709727]\n", + " [ 0.16385126 -0.01282988 0.58737235 0.79245308]\n", + " [-0.07217593 -0.94922095 -0.2462222 0.18205727]\n", + " [-0.98359144 0.07439898 0.09868491 0.13143042]]\n", + "This is the 4 run out of 81 run.\n", + "The code has run 4.7796 seconds.\n", + "Estimated remaining time: 92.0072 seconds\n", + "=======This is the 5 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Build time with sequential_finite mode [s]: 0.03173398971557617\n", + "Solve time with sequential_finite mode [s]: 0.7128989696502686\n", + "Existed information has been added.\n", + "FIM: [[ 22.85778568 1.58806577 -71.06150457 -9.85321782]\n", + " [ 1.58806577 18.80410201 -5.286094 -112.67643949]\n", + " [ -71.06150457 -5.286094 221.10525335 32.37888468]\n", + " [ -9.85321782 -112.67643949 32.37888468 675.93331915]]\n", + "Trace: 938.7004601958402\n", + "Determinant: 7.262664127105343\n", + "Condition number: 587380.8056164271\n", + "Minimal eigen value: 0.001187152066583163\n", + "Eigen values: [6.97310337e+02 2.41352585e+02 1.18715207e-03 3.63505971e-02]\n", + "Eigen vectors: [[ 0.02234475 0.30528812 -0.70708024 -0.63744601]\n", + " [ 0.16395232 -0.01289453 -0.66068357 0.73242787]\n", + " [-0.07203153 -0.94926903 -0.22700141 -0.20535366]\n", + " [-0.98358111 0.0743048 -0.10956786 0.12264531]]\n", + "This is the 5 run out of 81 run.\n", + "The code has run 5.9352 seconds.\n", + "Estimated remaining time: 90.2145 seconds\n", + "=======This is the 6 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.030384540557861328\n", + "Solve time with sequential_finite mode [s]: 0.6961460113525391\n", + "Existed information has been added.\n", + "FIM: [[ 22.84899118 1.60035793 -71.07056231 -9.94713529]\n", + " [ 1.60035793 18.83059662 -5.27278617 -112.69266932]\n", + " [ -71.07056231 -5.27278617 221.19102326 32.37779052]\n", + " [ -9.94713529 -112.69266932 32.37779052 675.45630656]]\n", + "Trace: 938.3269176234452\n", + "Determinant: 9.694247140473566\n", + "Condition number: 466093.36455583625\n", + "Minimal eigen value: 0.0014951061580782382\n", + "Eigen values: [6.96859060e+02 2.41427823e+02 1.49510616e-03 3.85398294e-02]\n", + "Eigen vectors: [[ 0.02251069 0.30517848 -0.80784021 -0.50373957]\n", + " [ 0.164086 -0.01300252 -0.52214955 0.83681932]\n", + " [-0.07213043 -0.94929271 -0.25934119 -0.16242752]\n", + " [-0.98354779 0.07443374 -0.08658052 0.13998992]]\n", + "This is the 6 run out of 81 run.\n", + "The code has run 7.0563 seconds.\n", + "Estimated remaining time: 88.2040 seconds\n", + "=======This is the 7 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03136420249938965\n", + "Solve time with sequential_finite mode [s]: 0.7238831520080566\n", + "Existed information has been added.\n", + "FIM: [[ 22.6714132 1.60632241 -70.57217099 -9.96921282]\n", + " [ 1.60632241 18.83919148 -5.02832177 -112.34650775]\n", + " [ -70.57217099 -5.02832177 220.97592645 32.9863538 ]\n", + " [ -9.96921282 -112.34650775 32.9863538 674.66260044]]\n", + "Trace: 937.1491315569567\n", + "Determinant: 1224.1591572634684\n", + "Condition number: 20261.150908716554\n", + "Minimal eigen value: 0.034354382262346495\n", + "Eigen values: [6.96059323e+02 2.40842897e+02 3.43543823e-02 2.12557114e-01]\n", + "Eigen vectors: [[-0.0226418 0.30364174 -0.68485091 0.66201833]\n", + " [-0.16375613 -0.01447055 0.68504577 0.70970897]\n", + " [ 0.07338419 -0.94968462 -0.22029076 0.21020433]\n", + " [ 0.98350701 0.07544145 0.11473232 0.11772444]]\n", + "This is the 7 run out of 81 run.\n", + "The code has run 8.2157 seconds.\n", + "Estimated remaining time: 86.8517 seconds\n", + "=======This is the 8 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03168010711669922\n", + "Solve time with sequential_finite mode [s]: 0.7403969764709473\n", + "Existed information has been added.\n", + "FIM: [[ 22.82364193 1.65919047 -70.98652356 -10.28581521]\n", + " [ 1.65919047 18.85202321 -5.44428715 -112.55373767]\n", + " [ -70.98652356 -5.44428715 220.92210491 33.28294252]\n", + " [ -10.28581521 -112.55373767 33.28294252 673.6891093 ]]\n", + "Trace: 936.2868793503487\n", + "Determinant: 27.94899616649604\n", + "Condition number: 233320.27142713152\n", + "Minimal eigen value: 0.0029798273082356666\n", + "Eigen values: [6.95254116e+02 2.40973799e+02 2.97982731e-03 5.59837163e-02]\n", + "Eigen vectors: [[-0.02329792 0.30512337 -0.86002716 -0.40830162]\n", + " [-0.16428245 -0.01336348 -0.42324719 0.89089534]\n", + " [ 0.07437058 -0.94911854 -0.27620165 -0.13174086]\n", + " [ 0.9833298 0.07677979 -0.07019787 0.14912956]]\n", + "This is the 8 run out of 81 run.\n", + "The code has run 9.4759 seconds.\n", + "Estimated remaining time: 86.4674 seconds\n", + "=======This is the 9 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03008103370666504\n", + "Solve time with sequential_finite mode [s]: 0.7191267013549805\n", + "Existed information has been added.\n", + "FIM: [[ 22.81569796 1.68351428 -70.96865809 -10.41960807]\n", + " [ 1.68351428 18.85669651 -5.49740997 -112.43945279]\n", + " [ -70.96865809 -5.49740997 220.87648514 33.55457515]\n", + " [ -10.41960807 -112.43945279 33.55457515 672.58866768]]\n", + "Trace: 935.1375473002295\n", + "Determinant: 40.06507413241759\n", + "Condition number: 191612.42950883394\n", + "Minimal eigen value: 0.0036229414848376624\n", + "Eigen values: [6.94200620e+02 2.40867168e+02 3.62294148e-03 6.61366248e-02]\n", + "Eigen vectors: [[-0.02361587 0.30507655 -0.88828052 -0.34253219]\n", + " [-0.1643736 -0.01349359 -0.35509255 0.92016766]\n", + " [ 0.07515371 -0.94906402 -0.285305 -0.11059144]\n", + " [ 0.98324744 0.07761255 -0.05889019 0.15405424]]\n", + "This is the 9 run out of 81 run.\n", + "The code has run 10.6258 seconds.\n", + "Estimated remaining time: 85.0067 seconds\n", + "=======This is the 10 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.030852556228637695\n", + "Solve time with sequential_finite mode [s]: 0.7187416553497314\n", + "Existed information has been added.\n", + "FIM: [[ 23.36699479 1.15109824 -72.31327058 -7.14789892]\n", + " [ 1.15109824 19.51581166 -4.44570537 -115.94368617]\n", + " [ -72.31327058 -4.44570537 224.32831285 26.54325739]\n", + " [ -7.14789892 -115.94368617 26.54325739 692.77427462]]\n", + "Trace: 959.985393919721\n", + "Determinant: 591.711692524396\n", + "Condition number: 27770.09482792143\n", + "Minimal eigen value: 0.0257055831552987\n", + "Eigen values: [7.13846482e+02 2.45982115e+02 2.57055832e-02 1.31091440e-01]\n", + "Eigen vectors: [[-0.01646899 0.30664139 -0.84240613 -0.44277731]\n", + " [-0.16479615 -0.00988458 -0.45916793 0.87287418]\n", + " [ 0.05731354 -0.94995722 -0.27179501 -0.14291227]\n", + " [ 0.98452332 0.0587762 -0.07512788 0.1470204 ]]\n", + "This is the 10 run out of 81 run.\n", + "The code has run 11.7899 seconds.\n", + "Estimated remaining time: 83.7082 seconds\n", + "=======This is the 11 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03172016143798828\n", + "Solve time with sequential_finite mode [s]: 0.7495214939117432\n", + "Existed information has been added.\n", + "FIM: [[ 23.35034577 1.16790197 -72.27678169 -7.64132149]\n", + " [ 1.16790197 19.54479058 -4.48551268 -116.68851581]\n", + " [ -72.27678169 -4.48551268 224.24067279 28.19482059]\n", + " [ -7.64132149 -116.68851581 28.19482059 697.6377723 ]]\n", + "Trace: 964.7735814406602\n", + "Determinant: 14.66295524960378\n", + "Condition number: 618686.1006461546\n", + "Minimal eigen value: 0.0011621564765956385\n", + "Eigen values: [7.19010059e+02 2.45690938e+02 7.14221299e-02 1.16215648e-03]\n", + "Eigen vectors: [[-0.01733523 0.30657654 -0.76328888 0.56841921]\n", + " [-0.16463207 -0.01131848 0.58856679 0.79142739]\n", + " [ 0.0601199 -0.94978879 -0.24690986 0.18254415]\n", + " [ 0.98436851 0.06151396 0.10007368 0.13122471]]\n", + "This is the 11 run out of 81 run.\n", + "The code has run 12.9854 seconds.\n", + "Estimated remaining time: 82.6347 seconds\n", + "=======This is the 12 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03261303901672363\n", + "Solve time with sequential_finite mode [s]: 0.7351465225219727\n", + "Existed information has been added.\n", + "FIM: [[ 23.32668342 1.19369775 -72.33354358 -7.84236457]\n", + " [ 1.19369775 19.58591989 -4.36157009 -116.76884473]\n", + " [ -72.33354358 -4.36157009 224.61304675 27.73967365]\n", + " [ -7.84236457 -116.76884473 27.73967365 697.39961849]]\n", + "Trace: 964.9252685581112\n", + "Determinant: 42.12358607923435\n", + "Condition number: 173010.70465367875\n", + "Minimal eigen value: 0.0041544192902884\n", + "Eigen values: [7.18759009e+02 2.46104785e+02 4.15441929e-03 5.73207220e-02]\n", + "Eigen vectors: [[-0.01755002 0.30623674 -0.70682098 -0.63742855]\n", + " [-0.16480218 -0.01141559 -0.66098234 0.73199199]\n", + " [ 0.05928375 -0.94994589 -0.22692638 -0.20637989]\n", + " [ 0.98438695 0.06075812 -0.1095941 0.12361192]]\n", + "This is the 12 run out of 81 run.\n", + "The code has run 14.2551 seconds.\n", + "Estimated remaining time: 81.9667 seconds\n", + "=======This is the 13 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.031500816345214844\n", + "Solve time with sequential_finite mode [s]: 0.7037637233734131\n", + "Existed information has been added.\n", + "FIM: [[ 23.29827546 1.22894071 -72.16291658 -8.0200322 ]\n", + " [ 1.22894071 19.63509408 -4.62536964 -116.99023268]\n", + " [ -72.16291658 -4.62536964 223.96656184 29.02789136]\n", + " [ -8.0200322 -116.99023268 29.02789136 698.33998774]]\n", + "Trace: 965.2399191264553\n", + "Determinant: 23.937898470956466\n", + "Condition number: 389661.6814576226\n", + "Minimal eigen value: 0.00184751474480007\n", + "Eigen values: [7.19905702e+02 2.45258986e+02 7.33833553e-02 1.84751474e-03]\n", + "Eigen vectors: [[-0.01802067 0.30641889 -0.69774963 0.64724661]\n", + " [-0.1648668 -0.0116624 0.67025902 0.72348861]\n", + " [ 0.06176701 -0.94972087 -0.22578198 0.20793653]\n", + " [ 0.98421493 0.0632591 0.11366971 0.11999356]]\n", + "This is the 13 run out of 81 run.\n", + "The code has run 15.3906 seconds.\n", + "Estimated remaining time: 80.5046 seconds\n", + "=======This is the 14 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.030808210372924805\n", + "Solve time with sequential_finite mode [s]: 0.7146949768066406\n", + "Existed information has been added.\n", + "FIM: [[ 23.06620887 1.54202861 -71.75960711 -9.56214109]\n", + " [ 1.54202861 19.63229635 -4.93981073 -116.94136508]\n", + " [ -71.75960711 -4.93981073 223.49347863 30.51368715]\n", + " [ -9.56214109 -116.94136508 30.51368715 697.87942943]]\n", + "Trace: 964.0714132744367\n", + "Determinant: 141.4219836500994\n", + "Condition number: 33130.27688093683\n", + "Minimal eigen value: 0.021723134612782392\n", + "Eigen values: [7.19693464e+02 2.44319201e+02 2.17231346e-02 3.70245060e-02]\n", + "Eigen vectors: [[ 0.02057949 -0.30508521 -0.90925512 0.2824086 ]\n", + " [ 0.16486798 0.0120174 -0.29280924 -0.94177327]\n", + " [-0.0651251 0.9498725 -0.29178699 0.09144014]\n", + " [-0.98394805 -0.06723705 -0.04876702 -0.15794683]]\n", + "This is the 14 run out of 81 run.\n", + "The code has run 16.5367 seconds.\n", + "Estimated remaining time: 79.1397 seconds\n", + "=======This is the 15 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03090643882751465\n", + "Solve time with sequential_finite mode [s]: 0.7253015041351318\n", + "Existed information has been added.\n", + "FIM: [[ 23.22197459 1.31949866 -72.00914529 -8.60641573]\n", + " [ 1.31949866 19.70508356 -4.83212402 -117.01118033]\n", + " [ -72.00914529 -4.83212402 223.65716167 30.31650933]\n", + " [ -8.60641573 -117.01118033 30.31650933 696.78486895]]\n", + "Trace: 963.3690887765521\n", + "Determinant: 27.833081449419428\n", + "Condition number: 381758.1018034951\n", + "Minimal eigen value: 0.0018823266965053219\n", + "Eigen values: [7.18593467e+02 2.44689645e+02 1.88232670e-03 8.40944691e-02]\n", + "Eigen vectors: [[-0.01918895 0.30610854 -0.75467612 -0.57999423]\n", + " [-0.16522038 -0.0123024 -0.60143808 0.78155173]\n", + " [ 0.06467494 -0.94960395 -0.24244923 -0.18785063]\n", + " [ 0.98394673 0.06632155 -0.09977256 0.13227141]]\n", + "This is the 15 run out of 81 run.\n", + "The code has run 17.7103 seconds.\n", + "Estimated remaining time: 77.9254 seconds\n", + "=======This is the 16 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.030787229537963867\n", + "Solve time with sequential_finite mode [s]: 0.7235379219055176\n", + "Existed information has been added.\n", + "FIM: [[ 23.21341122 1.37719611 -71.52120757 -8.95167057]\n", + " [ 1.37719611 19.76964977 -5.03966609 -116.98013919]\n", + " [ -71.52120757 -5.03966609 221.54837466 31.35190872]\n", + " [ -8.95167057 -116.98013919 31.35190872 695.02030433]]\n", + "Trace: 959.5517399691055\n", + "Determinant: 1078.7849666545112\n", + "Condition number: 16944.289741239747\n", + "Minimal eigen value: 0.04231625392898685\n", + "Eigen values: [7.17018867e+02 2.42343845e+02 1.46711816e-01 4.23162539e-02]\n", + "Eigen vectors: [[-0.01990769 0.30691997 -0.77172891 0.55663121]\n", + " [-0.16556661 -0.01263404 0.57637043 0.80014075]\n", + " [ 0.06680538 -0.94917979 -0.2501086 0.17899846]\n", + " [ 0.98373189 0.06854369 0.0983733 0.13377605]]\n", + "This is the 16 run out of 81 run.\n", + "The code has run 18.9380 seconds.\n", + "Estimated remaining time: 76.9357 seconds\n", + "=======This is the 17 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03230643272399902\n", + "Solve time with sequential_finite mode [s]: 0.711146354675293\n", + "Existed information has been added.\n", + "FIM: [[ 23.19140653 1.45452197 -71.86590137 -9.27516863]\n", + " [ 1.45452197 19.5009622 -4.57322014 -116.09565178]\n", + " [ -71.86590137 -4.57322014 223.27284328 28.91236904]\n", + " [ -9.27516863 -116.09565178 28.91236904 692.82994802]]\n", + "Trace: 958.7951600310682\n", + "Determinant: 405.73346191987747\n", + "Condition number: 19060.170152461385\n", + "Minimal eigen value: 0.0374762944613614\n", + "Eigen values: [7.14304549e+02 2.44391117e+02 6.20176566e-02 3.74762945e-02]\n", + "Eigen vectors: [[ 0.02004504 -0.3058106 0.78056719 0.54478705]\n", + " [ 0.16489246 0.01198408 -0.5641409 0.80895729]\n", + " [-0.06241591 0.94983208 0.25201078 0.17439566]\n", + " [-0.98413054 -0.0644615 -0.09460692 0.13557772]]\n", + "This is the 17 run out of 81 run.\n", + "The code has run 20.0853 seconds.\n", + "Estimated remaining time: 75.6153 seconds\n", + "=======This is the 18 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.030295372009277344\n", + "Solve time with sequential_finite mode [s]: 0.7057888507843018\n", + "Existed information has been added.\n", + "FIM: [[ 23.17353255 1.48747732 -71.88909733 -9.57620256]\n", + " [ 1.48747732 19.80446716 -5.19911175 -116.54044612]\n", + " [ -71.88909733 -5.19911175 223.2972708 32.27470726]\n", + " [ -9.57620256 -116.54044612 32.27470726 690.35395289]]\n", + "Trace: 956.6292233998961\n", + "Determinant: 202.2578438029176\n", + "Condition number: 88575.5039892403\n", + "Minimal eigen value: 0.00804426549395956\n", + "Eigen values: [7.12524870e+02 2.43951660e+02 8.04426549e-03 1.44648912e-01]\n", + "Eigen vectors: [[-0.02129557 0.30589635 -0.88846787 -0.3414656 ]\n", + " [-0.16601614 -0.01324869 -0.3542447 0.92020313]\n", + " [ 0.06977057 -0.94926604 -0.28580109 -0.11110266]\n", + " [ 0.98342118 0.07173485 -0.05876451 0.15583207]]\n", + "This is the 18 run out of 81 run.\n", + "The code has run 21.2165 seconds.\n", + "Estimated remaining time: 74.2578 seconds\n", + "=======This is the 19 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.031002283096313477\n", + "Solve time with sequential_finite mode [s]: 0.7261261940002441\n", + "Existed information has been added.\n", + "FIM: [[ 2.40184342e+01 6.15018103e-01 -7.39314669e+01 -4.79597716e+00]\n", + " [ 6.15018103e-01 2.06181802e+01 -3.44241278e+00 -1.22291590e+02]\n", + " [-7.39314669e+01 -3.44241278e+00 2.28517724e+02 2.28574101e+01]\n", + " [-4.79597716e+00 -1.22291590e+02 2.28574101e+01 7.26937509e+02]]\n", + "Trace: 1000.0918471108344\n", + "Determinant: 43.637566969492724\n", + "Condition number: 397253.94443967944\n", + "Minimal eigen value: 0.0018845147940360354\n", + "Eigen values: [7.48630935e+02 2.51335961e+02 1.23066139e-01 1.88451479e-03]\n", + "Eigen vectors: [[-0.01135362 0.30803435 -0.77174267 0.55623663]\n", + " [-0.16569386 -0.00955162 0.57569303 0.80064465]\n", + " [ 0.04599999 -0.95019912 -0.25111126 0.17874219]\n", + " [ 0.9850384 0.04631678 0.09966905 0.13274108]]\n", + "This is the 19 run out of 81 run.\n", + "The code has run 22.3710 seconds.\n", + "Estimated remaining time: 73.0003 seconds\n", + "=======This is the 20 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.0327761173248291\n", + "Solve time with sequential_finite mode [s]: 0.7494149208068848\n", + "Existed information has been added.\n", + "FIM: [[ 2.39888360e+01 6.44891388e-01 -7.38665977e+01 -4.95564433e+00]\n", + " [ 6.44891388e-01 2.06696983e+01 -3.51318135e+00 -1.22545072e+02]\n", + " [-7.38665977e+01 -3.51318135e+00 2.28361919e+02 2.32310415e+01]\n", + " [-4.95564433e+00 -1.22545072e+02 2.32310415e+01 7.28174375e+02]]\n", + "Trace: 1001.1948282731413\n", + "Determinant: 46.74517178466214\n", + "Condition number: 365095.5696854363\n", + "Minimal eigen value: 0.0020541297854192444\n", + "Eigen values: [7.49953684e+02 2.51118254e+02 1.20835948e-01 2.05412979e-03]\n", + "Eigen vectors: [[-0.01161588 0.30796542 -0.76246507 0.5689195 ]\n", + " [-0.16574857 -0.00964209 0.58884741 0.79100769]\n", + " [ 0.04663192 -0.95018733 -0.24806143 0.18285247]\n", + " [ 0.98499642 0.04699325 0.10183945 0.13115797]]\n", + "This is the 20 run out of 81 run.\n", + "The code has run 23.6528 seconds.\n", + "Estimated remaining time: 72.1410 seconds\n", + "=======This is the 21 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.033832550048828125\n", + "Solve time with sequential_finite mode [s]: 0.809837818145752\n", + "Existed information has been added.\n", + "FIM: [[ 2.39467695e+01 6.90750634e-01 -7.37743667e+01 -5.23096586e+00]\n", + " [ 6.90750634e-01 2.07428172e+01 -3.61918297e+00 -1.22831031e+02]\n", + " [-7.37743667e+01 -3.61918297e+00 2.28139381e+02 2.38460694e+01]\n", + " [-5.23096586e+00 -1.22831031e+02 2.38460694e+01 7.29164888e+02]]\n", + "Trace: 1001.9938560789983\n", + "Determinant: 55.54248153995448\n", + "Condition number: 307103.88047836535\n", + "Minimal eigen value: 0.0024456704441941078\n", + "Eigen values: [7.51074884e+02 2.50795961e+02 1.20565643e-01 2.44567044e-03]\n", + "Eigen vectors: [[-0.0120894 0.30786256 -0.73898275 0.59914855]\n", + " [-0.16589568 -0.00986206 0.62018543 0.76664946]\n", + " [ 0.04776605 -0.95015804 -0.24044597 0.19262356]\n", + " [ 0.98491161 0.04819833 0.10705263 0.12714472]]\n", + "This is the 21 run out of 81 run.\n", + "The code has run 24.9235 seconds.\n", + "Estimated remaining time: 71.2099 seconds\n", + "=======This is the 22 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.030397415161132812\n", + "Solve time with sequential_finite mode [s]: 0.7407381534576416\n", + "Existed information has been added.\n", + "FIM: [[ 23.89626648 0.75340465 -73.66417071 -5.62890778]\n", + " [ 0.75340465 20.83023787 -3.76181564 -123.08145666]\n", + " [ -73.66417071 -3.76181564 227.87461063 24.71205508]\n", + " [ -5.62890778 -123.08145666 24.71205508 729.42275028]]\n", + "Trace: 1002.0238652605656\n", + "Determinant: 76.05999944250391\n", + "Condition number: 230913.1817806519\n", + "Minimal eigen value: 0.0032544862242902986\n", + "Eigen values: [7.51503769e+02 2.50392642e+02 1.24199874e-01 3.25448622e-03]\n", + "Eigen vectors: [[-0.01279882 0.30772891 -0.69704384 0.64750984]\n", + " [-0.1661526 -0.01022937 0.67031167 0.7231673 ]\n", + " [ 0.04946949 -0.95010428 -0.2269072 0.20824926]\n", + " [ 0.98477524 0.05000137 0.11543515 0.11996799]]\n", + "This is the 22 run out of 81 run.\n", + "The code has run 26.1449 seconds.\n", + "Estimated remaining time: 70.1158 seconds\n", + "=======This is the 23 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03039693832397461\n", + "Solve time with sequential_finite mode [s]: 0.7374355792999268\n", + "Existed information has been added.\n", + "FIM: [[ 23.84285261 0.83123128 -73.54781906 -6.12987052]\n", + " [ 0.83123128 20.92096597 -3.93741859 -123.2297809 ]\n", + " [ -73.54781906 -3.93741859 227.59522828 25.78508137]\n", + " [ -6.12987052 -123.2297809 25.78508137 728.60397297]]\n", + "Trace: 1000.9630198412967\n", + "Determinant: 116.9497254849154\n", + "Condition number: 161094.93328069983\n", + "Minimal eigen value: 0.004661123446972955\n", + "Eigen values: [7.50883371e+02 2.49941298e+02 4.66112345e-03 1.33689745e-01]\n", + "Eigen vectors: [[-0.0137214 0.30757486 -0.7073486 -0.63629191]\n", + " [-0.16650931 -0.01072151 -0.66019376 0.73232772]\n", + " [ 0.0516971 -0.95002193 -0.22759501 -0.20733126]\n", + " [ 0.98458813 0.0523554 -0.10955669 0.12586684]]\n", + "This is the 23 run out of 81 run.\n", + "The code has run 27.4124 seconds.\n", + "Estimated remaining time: 69.1269 seconds\n", + "=======This is the 24 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.030428409576416016\n", + "Solve time with sequential_finite mode [s]: 0.7699258327484131\n", + "Existed information has been added.\n", + "FIM: [[ 23.79146383 0.9206163 -73.43565269 -6.69612051]\n", + " [ 0.9206163 21.00371095 -4.1377668 -123.22977594]\n", + " [ -73.43565269 -4.1377668 227.32456499 26.98332377]\n", + " [ -6.69612051 -123.22977594 26.98332377 726.59902706]]\n", + "Trace: 998.7187668279797\n", + "Determinant: 187.84714931975176\n", + "Condition number: 112225.48387601941\n", + "Minimal eigen value: 0.006674833948959177\n", + "Eigen values: [7.49086470e+02 2.49475029e+02 6.67483395e-03 1.50593112e-01]\n", + "Eigen vectors: [[-0.01479899 0.30741225 -0.76799352 -0.5616624 ]\n", + " [-0.16693269 -0.01128784 -0.58284191 0.7951738 ]\n", + " [ 0.05431367 -0.94991159 -0.24722751 -0.18329361]\n", + " [ 0.98435994 0.05512035 -0.09674618 0.13651898]]\n", + "This is the 24 run out of 81 run.\n", + "The code has run 28.6422 seconds.\n", + "Estimated remaining time: 68.0252 seconds\n", + "=======This is the 25 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.029809236526489258\n", + "Solve time with sequential_finite mode [s]: 0.7275562286376953\n", + "Existed information has been added.\n", + "FIM: [[ 23.7453982 1.01697638 -73.33455715 -7.28518116]\n", + " [ 1.01697638 21.06945633 -4.3522319 -123.06353225]\n", + " [ -73.33455715 -4.3522319 227.07791215 28.21494145]\n", + " [ -7.28518116 -123.06353225 28.21494145 723.5210959 ]]\n", + "Trace: 995.4138625773894\n", + "Determinant: 296.90945166894204\n", + "Condition number: 82028.58792770687\n", + "Minimal eigen value: 0.009096931433910245\n", + "Eigen values: [7.46208440e+02 2.49020682e+02 9.09693143e-03 1.75644084e-01]\n", + "Eigen vectors: [[-0.01595966 0.30725123 -0.82028825 -0.48215056]\n", + " [-0.16737823 -0.01186971 -0.50042867 0.8493614 ]\n", + " [ 0.0571443 -0.9497781 -0.26419074 -0.15766845]\n", + " [ 0.98410586 0.05811499 -0.08307581 0.14579682]]\n", + "This is the 25 run out of 81 run.\n", + "The code has run 29.8079 seconds.\n", + "Estimated remaining time: 66.7697 seconds\n", + "=======This is the 26 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.028581619262695312\n", + "Solve time with sequential_finite mode [s]: 0.7077126502990723\n", + "Existed information has been added.\n", + "FIM: [[ 2.67638952e+01 -7.76330766e-01 -6.35437151e+01 4.33196217e-01]\n", + " [-7.76330766e-01 2.11126507e+01 -7.74184362e+00 -1.22738973e+02]\n", + " [-6.35437151e+01 -7.74184362e+00 2.50032259e+02 4.32443176e+01]\n", + " [ 4.33196217e-01 -1.22738973e+02 4.32443176e+01 7.19627125e+02]]\n", + "Trace: 1017.5359294279499\n", + "Determinant: 217392.15436294436\n", + "Condition number: 6583.780515477637\n", + "Minimal eigen value: 0.11308180694796818\n", + "Eigen values: [7.44505797e+02 2.63102790e+02 9.81426070e+00 1.13081807e-01]\n", + "Eigen vectors: [[-0.00714129 -0.25882625 -0.96291048 0.07590379]\n", + " [-0.16752877 0.01420914 0.07490378 0.98291487]\n", + " [ 0.08940243 0.96188851 -0.25756234 0.02096037]\n", + " [ 0.98177916 -0.08704919 0.02923144 0.16636599]]\n", + "This is the 26 run out of 81 run.\n", + "The code has run 30.9437 seconds.\n", + "Estimated remaining time: 65.4578 seconds\n", + "=======This is the 27 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.028896570205688477\n", + "Solve time with sequential_finite mode [s]: 0.6756200790405273\n", + "Existed information has been added.\n", + "FIM: [[ 23.89905083 1.52026241 -73.46002128 -9.45526764]\n", + " [ 1.52026241 21.13134384 -4.69740505 -121.82904749]\n", + " [ -73.46002128 -4.69740505 226.78345752 29.73401281]\n", + " [ -9.45526764 -121.82904749 29.73401281 711.59917289]]\n", + "Trace: 983.4130250768691\n", + "Determinant: 4410.834132929046\n", + "Condition number: 8189.667576299524\n", + "Minimal eigen value: 0.08968939508503097\n", + "Eigen values: [7.34526331e+02 2.48527605e+02 8.96893951e-02 2.69400023e-01]\n", + "Eigen vectors: [[-0.01985935 0.30766051 -0.94006123 0.14572408]\n", + " [-0.16841715 -0.0125818 0.15043878 0.97408703]\n", + " [ 0.06202987 -0.94926307 -0.30492062 0.04555583]\n", + " [ 0.98356167 0.06392443 0.02600921 0.16686409]]\n", + "This is the 27 run out of 81 run.\n", + "The code has run 32.1272 seconds.\n", + "Estimated remaining time: 64.2544 seconds\n", + "=======This is the 28 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.028621435165405273\n", + "Solve time with sequential_finite mode [s]: 0.7152180671691895\n", + "Existed information has been added.\n", + "FIM: [[ 2.63666749e+01 -4.78328720e-01 -7.76034062e+01 7.38942282e-01]\n", + " [-4.78328720e-01 2.20355114e+01 -2.15246494e+00 -1.29678865e+02]\n", + " [-7.76034062e+01 -2.15246494e+00 2.33904110e+02 1.62652394e+01]\n", + " [ 7.38942282e-01 -1.29678865e+02 1.62652394e+01 7.65503120e+02]]\n", + "Trace: 1047.8094164655915\n", + "Determinant: 2550.6779386114267\n", + "Condition number: 35005.66404714245\n", + "Minimal eigen value: 0.02250953484889567\n", + "Eigen values: [7.87961215e+02 2.59271028e+02 5.54664378e-01 2.25095348e-02]\n", + "Eigen vectors: [[ 0.0019813 0.31607309 0.91092591 0.26515629]\n", + " [ 0.16693984 -0.00739985 -0.27352201 0.94723917]\n", + " [-0.02985738 -0.9482894 0.30416151 0.08568275]\n", + " [-0.98551291 0.02811159 -0.05371657 0.15839371]]\n", + "This is the 28 run out of 81 run.\n", + "The code has run 33.2460 seconds.\n", + "Estimated remaining time: 62.9300 seconds\n", + "=======This is the 29 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.036148786544799805\n", + "Solve time with sequential_finite mode [s]: 0.8208673000335693\n", + "Existed information has been added.\n", + "FIM: [[ 2.48097520e+01 -2.75509795e-02 -7.59106474e+01 -1.50263004e+00]\n", + " [-2.75509795e-02 2.21160084e+01 -2.26303992e+00 -1.30074929e+02]\n", + " [-7.59106474e+01 -2.26303992e+00 2.33660667e+02 1.68490341e+01]\n", + " [-1.50263004e+00 -1.30074929e+02 1.68490341e+01 7.67435715e+02]]\n", + "Trace: 1048.0221424345166\n", + "Determinant: 115.41100876180494\n", + "Condition number: 247905.28859408406\n", + "Minimal eigen value: 0.0031867910804897833\n", + "Eigen values: [7.90022362e+02 2.57818790e+02 1.77803249e-01 3.18679108e-03]\n", + "Eigen vectors: [[-0.00502504 -0.30943199 0.76146687 0.56955667]\n", + " [-0.16701579 0.0076744 -0.58923609 0.79047306]\n", + " [ 0.03120857 0.95040531 0.24935552 0.18324193]\n", + " [ 0.98544736 -0.03037601 -0.10387907 0.13107225]]\n", + "This is the 29 run out of 81 run.\n", + "The code has run 34.5311 seconds.\n", + "Estimated remaining time: 61.9178 seconds\n", + "=======This is the 30 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.032620906829833984\n", + "Solve time with sequential_finite mode [s]: 0.7267110347747803\n", + "Existed information has been added.\n", + "FIM: [[ 2.46712626e+01 7.25863326e-02 -7.55371293e+01 -1.52581788e+00]\n", + " [ 7.25863326e-02 2.22333673e+01 -2.53474131e+00 -1.31208851e+02]\n", + " [-7.55371293e+01 -2.53474131e+00 2.32622185e+02 1.71069454e+01]\n", + " [-1.52581788e+00 -1.31208851e+02 1.71069454e+01 7.76018820e+02]]\n", + "Trace: 1055.5456349034139\n", + "Determinant: 195.54239366391906\n", + "Condition number: 125989.63106640303\n", + "Minimal eigen value: 0.006339823995470618\n", + "Eigen values: [7.98752086e+02 2.56636745e+02 1.50464097e-01 6.33982400e-03]\n", + "Eigen vectors: [[-0.00500212 0.30930142 -0.80666298 0.50358956]\n", + " [-0.16662522 -0.00670952 0.52104081 0.83708273]\n", + " [ 0.03119308 -0.95045054 -0.26322263 0.16243343]\n", + " [ 0.98551408 0.03051876 0.09233175 0.13894404]]\n", + "This is the 30 run out of 81 run.\n", + "The code has run 35.7051 seconds.\n", + "Estimated remaining time: 60.6987 seconds\n", + "=======This is the 31 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.032338619232177734\n", + "Solve time with sequential_finite mode [s]: 0.786848783493042\n", + "Existed information has been added.\n", + "FIM: [[ 2.47009275e+01 2.27519711e-01 -7.57816718e+01 -2.81206176e+00]\n", + " [ 2.27519711e-01 2.24258987e+01 -3.16221873e+00 -1.32942672e+02]\n", + " [-7.57816718e+01 -3.16221873e+00 2.33917726e+02 2.21933227e+01]\n", + " [-2.81206176e+00 -1.32942672e+02 2.21933227e+01 7.89718105e+02]]\n", + "Trace: 1070.7626569789397\n", + "Determinant: 379.5441787035131\n", + "Condition number: 64837.23892867179\n", + "Minimal eigen value: 0.012539226760064661\n", + "Eigen values: [8.13008841e+02 2.57596747e+02 1.44529312e-01 1.25392268e-02]\n", + "Eigen vectors: [[-0.00737269 0.3087382 -0.83241093 0.46012869]\n", + " [-0.16585097 -0.00898232 0.47562942 0.86382257]\n", + " [ 0.03963252 -0.95030381 -0.2714524 0.14719216]\n", + " [ 0.98532653 0.03902203 0.08474839 0.14292176]]\n", + "This is the 31 run out of 81 run.\n", + "The code has run 37.0380 seconds.\n", + "Estimated remaining time: 59.7387 seconds\n", + "=======This is the 32 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03168630599975586\n", + "Solve time with sequential_finite mode [s]: 0.7263829708099365\n", + "Existed information has been added.\n", + "FIM: [[ 2.45816529e+01 2.63605108e-01 -7.54125550e+01 -3.33735855e+00]\n", + " [ 2.63605108e-01 2.25086141e+01 -2.92591124e+00 -1.31144788e+02]\n", + " [-7.54125550e+01 -2.92591124e+00 2.32462710e+02 2.08397248e+01]\n", + " [-3.33735855e+00 -1.31144788e+02 2.08397248e+01 7.68106968e+02]]\n", + "Trace: 1047.659944145201\n", + "Determinant: 286.9494932430949\n", + "Condition number: 110125.23964527194\n", + "Minimal eigen value: 0.007185852253599833\n", + "Eigen values: [7.91343701e+02 2.56112027e+02 7.18585225e-03 1.97029863e-01]\n", + "Eigen vectors: [[-0.00815192 0.30894985 -0.70754845 -0.6354988 ]\n", + " [-0.16816154 -0.009262 -0.65983267 0.73229554]\n", + " [ 0.03870805 -0.95026091 -0.22802521 -0.20859146]\n", + " [ 0.98496545 0.03831989 -0.10954693 0.12796142]]\n", + "This is the 32 run out of 81 run.\n", + "The code has run 38.1992 seconds.\n", + "Estimated remaining time: 58.4925 seconds\n", + "=======This is the 33 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03102254867553711\n", + "Solve time with sequential_finite mode [s]: 0.7238359451293945\n", + "Existed information has been added.\n", + "FIM: [[ 2.45100454e+01 4.30073948e-01 -7.52663866e+01 -4.35369700e+00]\n", + " [ 4.30073948e-01 2.26609519e+01 -3.29144891e+00 -1.31269483e+02]\n", + " [-7.52663866e+01 -3.29144891e+00 2.32118631e+02 2.29778587e+01]\n", + " [-4.35369700e+00 -1.31269483e+02 2.29778587e+01 7.65641206e+02]]\n", + "Trace: 1044.930834793472\n", + "Determinant: 496.6419223054887\n", + "Condition number: 70507.39341843015\n", + "Minimal eigen value: 0.011193050970364205\n", + "Eigen values: [7.89192848e+02 2.55506750e+02 1.11930510e-02 2.20043922e-01]\n", + "Eigen vectors: [[-0.00992894 0.30875558 -0.77134772 -0.55641181]\n", + " [-0.16881443 -0.01014033 -0.57783855 0.79843689]\n", + " [ 0.04295365 -0.95012286 -0.24881934 -0.18305864]\n", + " [ 0.98466141 0.04282185 -0.09599081 0.13926221]]\n", + "This is the 33 run out of 81 run.\n", + "The code has run 39.3538 seconds.\n", + "Estimated remaining time: 57.2418 seconds\n", + "=======This is the 34 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03150057792663574\n", + "Solve time with sequential_finite mode [s]: 0.7320268154144287\n", + "Existed information has been added.\n", + "FIM: [[ 33.51785016 -2.98821138 -69.0223585 11.04638454]\n", + " [ -2.98821138 22.74095819 -3.57432507 -130.88577332]\n", + " [ -69.0223585 -3.57432507 231.6544122 24.63641478]\n", + " [ 11.04638454 -130.88577332 24.63641478 760.1649658 ]]\n", + "Trace: 1048.0781863510342\n", + "Determinant: 307922.5069996771\n", + "Condition number: 5780.072726758567\n", + "Minimal eigen value: 0.13562471942232104\n", + "Eigen values: [7.83920742e+02 2.52554130e+02 1.14676902e+01 1.35624719e-01]\n", + "Eigen vectors: [[-0.01115519 -0.30215209 0.95059117 0.07039965]\n", + " [ 0.16953378 0.01020018 -0.06757936 0.98315171]\n", + " [-0.04362107 0.9524859 0.30088554 0.01832206]\n", + " [-0.98449533 -0.03702264 -0.0357401 0.16769289]]\n", + "This is the 34 run out of 81 run.\n", + "The code has run 40.5291 seconds.\n", + "Estimated remaining time: 56.0255 seconds\n", + "=======This is the 35 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.0310821533203125\n", + "Solve time with sequential_finite mode [s]: 0.7441203594207764\n", + "Existed information has been added.\n", + "FIM: [[ 2.43682533e+01 7.08134996e-01 -7.52801445e+01 -6.04109673e+00]\n", + " [ 7.08134996e-01 2.28081214e+01 -4.79195860e+00 -1.30377899e+02]\n", + " [-7.52801445e+01 -4.79195860e+00 2.34178488e+02 3.03360117e+01]\n", + " [-6.04109673e+00 -1.30377899e+02 3.03360117e+01 7.54080640e+02]]\n", + "Trace: 1035.4355027698957\n", + "Determinant: 621.2064660113449\n", + "Condition number: 96341.22002244192\n", + "Minimal eigen value: 0.00808071502925893\n", + "Eigen values: [7.78505945e+02 2.56536553e+02 8.08071503e-03 3.84923997e-01]\n", + "Eigen vectors: [[-0.01385178 0.30647871 -0.77456544 -0.55310696]\n", + " [-0.17008111 -0.01219761 -0.57380146 0.80104651]\n", + " [ 0.05823077 -0.95000308 -0.24838451 -0.18002351]\n", + " [ 0.98361055 0.05844803 -0.09542219 0.14138144]]\n", + "This is the 35 run out of 81 run.\n", + "The code has run 41.7949 seconds.\n", + "Estimated remaining time: 54.9304 seconds\n", + "=======This is the 36 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.031955718994140625\n", + "Solve time with sequential_finite mode [s]: 0.7806301116943359\n", + "Existed information has been added.\n", + "FIM: [[ 24.31860311 0.86015905 -74.832261 -6.87730375]\n", + " [ 0.86015905 22.83732949 -4.24663822 -129.66361803]\n", + " [ -74.832261 -4.24663822 231.03290049 28.18780763]\n", + " [ -6.87730375 -129.66361803 28.18780763 747.20287423]]\n", + "Trace: 1025.3917073233927\n", + "Determinant: 1571.5957241418107\n", + "Condition number: 35457.26561272755\n", + "Minimal eigen value: 0.02175511724853838\n", + "Eigen values: [7.71376971e+02 2.53623729e+02 2.17551172e-02 3.69252000e-01]\n", + "Eigen vectors: [[-0.01473126 0.3082026 -0.88848382 -0.33969198]\n", + " [-0.17072397 -0.0124258 -0.35313669 0.919779 ]\n", + " [ 0.05469741 -0.94963298 -0.2871477 -0.11292298]\n", + " [ 0.98368923 0.05526267 -0.0586274 0.16082398]]\n", + "This is the 36 run out of 81 run.\n", + "The code has run 43.0165 seconds.\n", + "Estimated remaining time: 53.7706 seconds\n", + "=======This is the 37 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.04721331596374512\n", + "Solve time with sequential_finite mode [s]: 1.002899169921875\n", + "Existed information has been added.\n", + "FIM: [[ 2.56354905e+01 -7.63600569e-01 -1.43602418e+01 2.30271230e+00]\n", + " [-7.63600569e-01 2.38074281e+01 -2.56594966e+02 -1.38806634e+02]\n", + " [-1.43602418e+01 -2.56594966e+02 1.78739967e+04 1.32094490e+03]\n", + " [ 2.30271230e+00 -1.38806634e+02 1.32094490e+03 8.12629315e+02]]\n", + "Trace: 18736.068972222492\n", + "Determinant: 9894704.582551854\n", + "Condition number: 611530.8176743718\n", + "Minimal eigen value: 0.029401018758079003\n", + "Eigen values: [1.79796290e+04 7.30797395e+02 2.56131348e+01 2.94010188e-02]\n", + "Eigen vectors: [[ 7.86897547e-04 4.98200143e-03 9.99864839e-01 1.56481085e-02]\n", + " [ 1.48404290e-02 -1.64657953e-01 -1.46244077e-02 9.86130644e-01]\n", + " [-9.96933393e-01 -7.82218957e-02 1.14368664e-03 1.95895726e-03]\n", + " [-7.68306772e-02 9.83231546e-01 -7.42438726e-03 1.65220012e-01]]\n", + "This is the 37 run out of 81 run.\n", + "The code has run 44.6004 seconds.\n", + "Estimated remaining time: 53.0383 seconds\n", + "=======This is the 38 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.030981779098510742\n", + "Solve time with sequential_finite mode [s]: 0.7269408702850342\n", + "Existed information has been added.\n", + "FIM: [[ 25.85464624 -0.9968866 -77.98615163 2.37616197]\n", + " [ -0.9968866 24.32610464 2.15270154 -140.76921726]\n", + " [ -77.98615163 2.15270154 239.1852101 -3.18660863]\n", + " [ 2.37616197 -140.76921726 -3.18660863 819.85760605]]\n", + "Trace: 1109.2235670235546\n", + "Determinant: 11273.888760365626\n", + "Condition number: 6662.724161884037\n", + "Minimal eigen value: 0.12668440763941244\n", + "Eigen values: [8.44063264e+02 2.64635211e+02 3.98407910e-01 1.26684408e-01]\n", + "Eigen vectors: [[-0.00366568 -0.31039536 -0.92496208 0.21928621]\n", + " [ 0.1692633 0.00507511 0.22510204 0.95950677]\n", + " [ 0.00626703 0.95055975 -0.30357961 0.065087 ]\n", + " [-0.98554412 0.0080707 0.04017028 0.16438975]]\n", + "This is the 38 run out of 81 run.\n", + "The code has run 45.7717 seconds.\n", + "Estimated remaining time: 51.7943 seconds\n", + "=======This is the 39 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.02993154525756836\n", + "Solve time with sequential_finite mode [s]: 0.7033448219299316\n", + "Existed information has been added.\n", + "FIM: [[ 40.9187031 -7.40740508 -89.67955887 22.4681434 ]\n", + " [ -7.40740508 24.28908008 5.3295444 -135.39921874]\n", + " [ -89.67955887 5.3295444 246.37524498 -11.96813781]\n", + " [ 22.4681434 -135.39921874 -11.96813781 778.41779366]]\n", + "Trace: 1090.000821809422\n", + "Determinant: 13438.22120838942\n", + "Condition number: 101119.6421912765\n", + "Minimal eigen value: 0.00794254487601496\n", + "Eigen values: [8.03147296e+02 2.79303157e+02 7.54242607e+00 7.94254488e-03]\n", + "Eigen vectors: [[-0.03400476 -0.34869436 0.89410111 0.27899665]\n", + " [ 0.17160853 0.00825313 -0.28455326 0.94313935]\n", + " [ 0.02827519 0.93632951 0.33852961 0.08879896]\n", + " [-0.98417209 0.04038772 -0.07078383 0.15736511]]\n", + "This is the 39 run out of 81 run.\n", + "The code has run 46.9846 seconds.\n", + "Estimated remaining time: 50.5988 seconds\n", + "=======This is the 40 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.029917240142822266\n", + "Solve time with sequential_finite mode [s]: 0.6798861026763916\n", + "Existed information has been added.\n", + "FIM: [[ 2.56024917e+01 -6.26486593e-03 -7.81243081e+01 -1.71217931e+00]\n", + " [-6.26486593e-03 2.47881852e+01 -2.24701876e+00 -1.40799043e+02]\n", + " [-7.81243081e+01 -2.24701876e+00 2.39530845e+02 1.63370282e+01]\n", + " [-1.71217931e+00 -1.40799043e+02 1.63370282e+01 8.08539287e+02]]\n", + "Trace: 1098.4608085889647\n", + "Determinant: 3165.9087707634512\n", + "Condition number: 17921.889199470388\n", + "Minimal eigen value: 0.046509706698097605\n", + "Eigen values: [8.33541810e+02 2.64563817e+02 4.65097067e-02 3.08671803e-01]\n", + "Eigen vectors: [[-0.0048286 -0.31044178 0.85791967 -0.40936101]\n", + " [-0.17151952 0.00732143 0.42562094 0.88846737]\n", + " [ 0.02836765 0.9501629 0.2790674 -0.13604087]\n", + " [ 0.98476038 -0.02761801 0.0702997 0.15665944]]\n", + "This is the 40 run out of 81 run.\n", + "The code has run 48.0733 seconds.\n", + "Estimated remaining time: 49.2751 seconds\n", + "=======This is the 41 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.028844118118286133\n", + "Solve time with sequential_finite mode [s]: 0.6885788440704346\n", + "Existed information has been added.\n", + "FIM: [[ 2.56407522e+01 -1.92833222e-01 -7.81363451e+01 -1.40020652e+00]\n", + " [-1.92833222e-01 2.44100547e+01 -2.14324113e+00 -1.41416375e+02]\n", + " [-7.81363451e+01 -2.14324113e+00 2.39566902e+02 1.80776045e+01]\n", + " [-1.40020652e+00 -1.41416375e+02 1.80776045e+01 8.23512624e+02]]\n", + "Trace: 1113.130332957875\n", + "Determinant: 342.7395962545575\n", + "Condition number: 127695.11682451204\n", + "Minimal eigen value: 0.006643639008836553\n", + "Eigen values: [8.48360259e+02 2.64533552e+02 6.64363901e-03 2.29877875e-01]\n", + "Eigen vectors: [[-0.00452683 -0.31057743 0.67197054 -0.67229216]\n", + " [-0.16915455 0.00898423 0.69855889 0.69521327]\n", + " [ 0.03042849 0.95005607 0.21664375 -0.22256023]\n", + " [ 0.98510931 -0.02923024 0.11634665 0.12316127]]\n", + "This is the 41 run out of 81 run.\n", + "The code has run 49.1767 seconds.\n", + "Estimated remaining time: 47.9772 seconds\n", + "=======This is the 42 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03030681610107422\n", + "Solve time with sequential_finite mode [s]: 0.7391736507415771\n", + "Existed information has been added.\n", + "FIM: [[ 2.53878355e+01 2.86687886e-01 -7.73099937e+01 -2.27423849e+00]\n", + " [ 2.86687886e-01 2.45590272e+01 -3.87347432e+00 -1.43394596e+02]\n", + " [-7.73099937e+01 -3.87347432e+00 2.37286690e+02 2.34082511e+01]\n", + " [-2.27423849e+00 -1.43394596e+02 2.34082511e+01 8.40737268e+02]]\n", + "Trace: 1127.9708203103974\n", + "Determinant: 2578.321483450864\n", + "Condition number: 14284.50485182189\n", + "Minimal eigen value: 0.06063388916355049\n", + "Eigen values: [8.66125084e+02 2.61597427e+02 1.87675490e-01 6.06338892e-02]\n", + "Eigen vectors: [[-0.00625942 0.31048948 -0.79428513 0.52217644]\n", + " [-0.16801582 -0.00701432 0.54052446 0.82435113]\n", + " [ 0.03847119 -0.94979617 -0.25976494 0.17008638]\n", + " [ 0.98501344 0.03787234 0.0972965 0.13728659]]\n", + "This is the 42 run out of 81 run.\n", + "The code has run 50.4279 seconds.\n", + "Estimated remaining time: 46.8259 seconds\n", + "=======This is the 43 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.035726070404052734\n", + "Solve time with sequential_finite mode [s]: 0.8828916549682617\n", + "Existed information has been added.\n", + "FIM: [[ 25.29644528 -1.39901089 -76.47130089 1.15549497]\n", + " [ -1.39901089 51.74710155 -7.07830628 -169.01256338]\n", + " [ -76.47130089 -7.07830628 235.60564714 20.54111396]\n", + " [ 1.15549497 -169.01256338 20.54111396 811.80937239]]\n", + "Trace: 1124.4585663486496\n", + "Determinant: 444829.4738698182\n", + "Condition number: 6755.9743106532605\n", + "Minimal eigen value: 0.12558637096246314\n", + "Eigen values: [8.48458296e+02 2.59806353e+02 1.25586371e-01 1.60683313e+01]\n", + "Eigen vectors: [[-0.00155957 0.30997843 0.94355873 -0.11665271]\n", + " [-0.2076877 0.0016383 0.11915265 0.97090977]\n", + " [ 0.03535826 -0.95009006 0.30863316 -0.02870962]\n", + " [ 0.97755469 0.03520746 0.01565677 0.20712827]]\n", + "This is the 43 run out of 81 run.\n", + "The code has run 51.8204 seconds.\n", + "Estimated remaining time: 45.7947 seconds\n", + "=======This is the 44 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03390192985534668\n", + "Solve time with sequential_finite mode [s]: 0.788132905960083\n", + "Existed information has been added.\n", + "FIM: [[ 2.51773354e+01 2.09962773e-01 -7.77554478e+01 -3.81767135e+00]\n", + " [ 2.09962773e-01 2.48803636e+01 -3.25608758e+00 -1.39714366e+02]\n", + " [-7.77554478e+01 -3.25608758e+00 2.41149153e+02 2.35807496e+01]\n", + " [-3.81767135e+00 -1.39714366e+02 2.35807496e+01 7.96190493e+02]]\n", + "Trace: 1087.3973449903585\n", + "Determinant: 194.68439293078816\n", + "Condition number: 392310.1779517514\n", + "Minimal eigen value: 0.002094656114355597\n", + "Eigen values: [8.21754913e+02 2.65213876e+02 2.09465611e-03 4.26461521e-01]\n", + "Eigen vectors: [[-0.00887324 0.30727553 -0.86095356 -0.40529247]\n", + " [-0.1727029 -0.01099721 -0.42124473 0.89028403]\n", + " [ 0.0421224 -0.95065016 -0.27646239 -0.13438202]\n", + " [ 0.98403286 0.04153413 -0.06985983 0.15834722]]\n", + "This is the 44 run out of 81 run.\n", + "The code has run 53.0716 seconds.\n", + "Estimated remaining time: 44.6284 seconds\n", + "=======This is the 45 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03305625915527344\n", + "Solve time with sequential_finite mode [s]: 0.8216719627380371\n", + "Existed information has been added.\n", + "FIM: [[ 2.51058391e+01 4.28877461e-01 -7.68560528e+01 -5.02180984e+00]\n", + " [ 4.28877461e-01 2.49224231e+01 -3.59147134e+00 -1.38685801e+02]\n", + " [-7.68560528e+01 -3.59147134e+00 2.36352927e+02 2.53766406e+01]\n", + " [-5.02180984e+00 -1.38685801e+02 2.53766406e+01 7.86286510e+02]]\n", + "Trace: 1072.6676988182517\n", + "Determinant: 3266.1306706039145\n", + "Condition number: 26449.20034258305\n", + "Minimal eigen value: 0.030700113022235118\n", + "Eigen values: [8.11993440e+02 2.60139903e+02 3.07001130e-02 5.03656087e-01]\n", + "Eigen vectors: [[-0.01085525 0.30955833 -0.88858342 -0.33834199]\n", + " [-0.17354736 -0.01184342 -0.352169 0.9196293 ]\n", + " [ 0.04589752 -0.94971075 -0.28805319 -0.11387831]\n", + " [ 0.98369553 0.04563842 -0.05849663 0.16382425]]\n", + "This is the 45 run out of 81 run.\n", + "The code has run 54.3597 seconds.\n", + "Estimated remaining time: 43.4877 seconds\n", + "=======This is the 46 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.02976202964782715\n", + "Solve time with sequential_finite mode [s]: 0.733579158782959\n", + "Existed information has been added.\n", + "FIM: [[ 2.86404874e+01 -5.39885458e-02 -8.24751971e+01 1.02660661e+01]\n", + " [-5.39885458e-02 2.34734529e+01 -1.08855216e+00 -1.39636990e+02]\n", + " [-8.24751971e+01 -1.08855216e+00 2.48080831e+02 -1.23820162e+00]\n", + " [ 1.02660661e+01 -1.39636990e+02 -1.23820162e+00 8.82404888e+02]]\n", + "Trace: 1182.5996601336103\n", + "Determinant: 46943.62375829849\n", + "Condition number: 10822.793058840984\n", + "Minimal eigen value: 0.08358834155683383\n", + "Eigen values: [9.04659323e+02 2.75604274e+02 8.35883416e-02 2.25247454e+00]\n", + "Eigen vectors: [[ 0.01187471 0.31653414 -0.72097807 0.61632438]\n", + " [-0.15649714 0.00715357 0.64208593 0.75045528]\n", + " [-0.00309463 -0.94853735 -0.23640612 0.21066435]\n", + " [ 0.98760218 -0.00564459 0.10967415 0.112168 ]]\n", + "This is the 46 run out of 81 run.\n", + "The code has run 55.6205 seconds.\n", + "Estimated remaining time: 42.3200 seconds\n", + "=======This is the 47 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03276658058166504\n", + "Solve time with sequential_finite mode [s]: 0.8173966407775879\n", + "Existed information has been added.\n", + "FIM: [[ 27.29143353 -1.76559438 -80.75339278 5.94689876]\n", + " [ -1.76559438 25.97283928 1.26678725 -147.71257835]\n", + " [ -80.75339278 1.26678725 248.43951414 1.72427468]\n", + " [ 5.94689876 -147.71257835 1.72427468 848.49029644]]\n", + "Trace: 1150.194083382693\n", + "Determinant: 41610.139458382255\n", + "Condition number: 4825.687939371192\n", + "Minimal eigen value: 0.18116776328581904\n", + "Eigen values: [8.74259090e+02 2.74797810e+02 9.56015260e-01 1.81167763e-01]\n", + "Eigen vectors: [[ 0.00713686 0.31016741 -0.91348386 0.26323465]\n", + " [-0.17155697 -0.00592297 0.26969204 0.94752273]\n", + " [ 0.00144612 -0.95066164 -0.29982489 0.07965798]\n", + " [ 0.98514729 -0.00188294 0.05402293 0.16298097]]\n", + "This is the 47 run out of 81 run.\n", + "The code has run 56.9107 seconds.\n", + "Estimated remaining time: 41.1694 seconds\n", + "=======This is the 48 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03305792808532715\n", + "Solve time with sequential_finite mode [s]: 0.7727439403533936\n", + "Existed information has been added.\n", + "FIM: [[ 31.15473954 -6.30865478 -94.49169403 15.92276654]\n", + " [ -6.30865478 27.34911835 17.29586509 -138.31350351]\n", + " [ -94.49169403 17.29586509 287.64854489 -39.04908498]\n", + " [ 15.92276654 -138.31350351 -39.04908498 767.646592 ]]\n", + "Trace: 1113.79899477974\n", + "Determinant: 44801.25855781225\n", + "Condition number: 8900.603448154789\n", + "Minimal eigen value: 0.08952541399929309\n", + "Eigen values: [7.96830209e+02 3.14884796e+02 8.95254140e-02 1.99446489e+00]\n", + "Eigen vectors: [[-0.03260468 -0.30982252 0.94995022 -0.02327047]\n", + " [ 0.17830283 0.01674564 0.03566597 0.98318646]\n", + " [ 0.0872295 0.94562678 0.31034853 -0.04318334]\n", + " [-0.97955911 0.09756839 0.00250936 0.17589218]]\n", + "This is the 48 run out of 81 run.\n", + "The code has run 58.1764 seconds.\n", + "Estimated remaining time: 39.9962 seconds\n", + "=======This is the 49 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03191828727722168\n", + "Solve time with sequential_finite mode [s]: 0.7759759426116943\n", + "Existed information has been added.\n", + "FIM: [[ 4.90610579e+01 5.19330040e+00 -8.96910964e+01 -2.82901596e+01]\n", + " [ 5.19330040e+00 2.64644879e+01 3.09226964e-01 -1.51797231e+02]\n", + " [-8.96910964e+01 3.09226964e-01 2.46298269e+02 4.36595753e+00]\n", + " [-2.82901596e+01 -1.51797231e+02 4.36595753e+00 8.75955800e+02]]\n", + "Trace: 1197.7796153563518\n", + "Determinant: 419989.0353803481\n", + "Condition number: 7462.197091498404\n", + "Minimal eigen value: 0.12105225902933656\n", + "Eigen values: [9.03315815e+02 2.80657629e+02 1.36851193e+01 1.21052259e-01]\n", + "Eigen vectors: [[-0.03482362 0.35855485 0.93185818 -0.04319801]\n", + " [-0.17066128 -0.00700575 0.04195221 0.98441133]\n", + " [ 0.01121665 -0.93322079 0.3585722 -0.01997799]\n", + " [ 0.98465031 0.02209737 0.0361431 0.16931968]]\n", + "This is the 49 run out of 81 run.\n", + "The code has run 59.4037 seconds.\n", + "Estimated remaining time: 38.7943 seconds\n", + "=======This is the 50 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.031647682189941406\n", + "Solve time with sequential_finite mode [s]: 0.8299469947814941\n", + "Existed information has been added.\n", + "FIM: [[ 2.64353032e+01 -1.13174151e+00 -8.01383390e+01 3.63161039e+00]\n", + " [-1.13174151e+00 2.69630126e+01 -4.87088294e-01 -1.53636048e+02]\n", + " [-8.01383390e+01 -4.87088294e-01 2.44894908e+02 8.74510817e+00]\n", + " [ 3.63161039e+00 -1.53636048e+02 8.74510817e+00 8.81673633e+02]]\n", + "Trace: 1179.9668564281294\n", + "Determinant: 1102.931372108914\n", + "Condition number: 63651.94454179821\n", + "Minimal eigen value: 0.014274090633934974\n", + "Eigen values: [9.08573625e+02 2.71065220e+02 1.42740906e-02 3.13737273e-01]\n", + "Eigen vectors: [[-0.0031192 -0.31145196 -0.70961018 -0.63201372]\n", + " [ 0.17167604 0.00599745 -0.65709783 0.73397126]\n", + " [-0.0127293 0.95018772 -0.22962686 -0.21036341]\n", + " [-0.98506628 -0.01024715 -0.10930386 0.13263517]]\n", + "This is the 50 run out of 81 run.\n", + "The code has run 60.8286 seconds.\n", + "Estimated remaining time: 37.7137 seconds\n", + "=======This is the 51 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.030040502548217773\n", + "Solve time with sequential_finite mode [s]: 0.7713899612426758\n", + "Existed information has been added.\n", + "FIM: [[ 2.65856399e+01 -1.12051573e+00 -8.02845266e+01 2.71700358e+00]\n", + " [-1.12051573e+00 2.72664323e+01 -6.38336240e-01 -1.52875919e+02]\n", + " [-8.02845266e+01 -6.38336240e-01 2.44629654e+02 1.10336364e+01]\n", + " [ 2.71700358e+00 -1.52875919e+02 1.10336364e+01 8.67308212e+02]]\n", + "Trace: 1165.789938809861\n", + "Determinant: 3094.9673066115984\n", + "Condition number: 31215.32947883929\n", + "Minimal eigen value: 0.02865427360990852\n", + "Eigen values: [8.94452592e+02 2.70862873e+02 2.86542736e-02 4.45820316e-01]\n", + "Eigen vectors: [[-0.00176456 -0.3123641 -0.77090014 -0.55510227]\n", + " [ 0.17360221 0.00782347 -0.57779819 0.79746493]\n", + " [-0.01667173 0.94982496 -0.25019598 -0.18696679]\n", + " [-0.98467315 -0.01414263 -0.09625076 0.14475691]]\n", + "This is the 51 run out of 81 run.\n", + "The code has run 62.0446 seconds.\n", + "Estimated remaining time: 36.4968 seconds\n", + "=======This is the 52 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.031218528747558594\n", + "Solve time with sequential_finite mode [s]: 0.7507572174072266\n", + "Existed information has been added.\n", + "FIM: [[ 2.62530417e+01 -6.81649478e-01 -7.97315556e+01 1.76346286e+00]\n", + " [-6.81649478e-01 2.71970736e+01 -1.49894202e+00 -1.51307553e+02]\n", + " [-7.97315556e+01 -1.49894202e+00 2.43858423e+02 1.17416796e+01]\n", + " [ 1.76346286e+00 -1.51307553e+02 1.17416796e+01 8.54491109e+02]]\n", + "Trace: 1151.7996474006118\n", + "Determinant: 5663.720041224449\n", + "Condition number: 17507.868840332823\n", + "Minimal eigen value: 0.05034966475144846\n", + "Eigen values: [8.81515327e+02 2.69760933e+02 5.03496648e-02 4.73038264e-01]\n", + "Eigen vectors: [[-4.45901613e-04 -3.11248266e-01 -8.53020235e-01 -4.18904281e-01]\n", + " [ 1.74397037e-01 5.44095488e-03 -4.35709949e-01 8.83013539e-01]\n", + " [-1.84826099e-02 9.50165729e-01 -2.78191520e-01 -1.39473863e-01]\n", + " [-9.84501837e-01 -1.67332039e-02 -7.15737169e-02 1.59227307e-01]]\n", + "This is the 52 run out of 81 run.\n", + "The code has run 63.2530 seconds.\n", + "Estimated remaining time: 35.2757 seconds\n", + "=======This is the 53 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.033196210861206055\n", + "Solve time with sequential_finite mode [s]: 0.8467848300933838\n", + "Existed information has been added.\n", + "FIM: [[ 2.61335233e+01 -1.47456617e-01 -7.94666607e+01 -1.18998643e+00]\n", + " [-1.47456617e-01 3.01216967e+01 -3.10862430e+00 -1.55952949e+02]\n", + " [-7.94666607e+01 -3.10862430e+00 2.43199077e+02 1.87268405e+01]\n", + " [-1.18998643e+00 -1.55952949e+02 1.87268405e+01 8.45956685e+02]]\n", + "Trace: 1145.410981884344\n", + "Determinant: 25734.91904058263\n", + "Condition number: 10961.642908160582\n", + "Minimal eigen value: 0.07985451117733051\n", + "Eigen values: [8.75336636e+02 2.68623914e+02 7.98545112e-02 1.37057742e+00]\n", + "Eigen vectors: [[ 0.00420365 0.3111442 0.93379802 -0.17661506]\n", + " [ 0.18147157 -0.00712025 0.1842526 0.96595463]\n", + " [-0.03053929 -0.94987717 0.30538282 -0.05951515]\n", + " [-0.98291289 0.02952895 0.02852317 0.17943444]]\n", + "This is the 53 run out of 81 run.\n", + "The code has run 64.5762 seconds.\n", + "Estimated remaining time: 34.1157 seconds\n", + "=======This is the 54 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.030497074127197266\n", + "Solve time with sequential_finite mode [s]: 0.7514724731445312\n", + "Existed information has been added.\n", + "FIM: [[ 2.60362088e+01 -8.08189917e-02 -7.92469646e+01 -2.82900869e+00]\n", + " [-8.08189917e-02 2.73866249e+01 -2.82323277e+00 -1.49348444e+02]\n", + " [-7.92469646e+01 -2.82323277e+00 2.42638798e+02 2.20798386e+01]\n", + " [-2.82900869e+00 -1.49348444e+02 2.20798386e+01 8.32476799e+02]]\n", + "Trace: 1128.5384307874867\n", + "Determinant: 6060.842676049112\n", + "Condition number: 21101.707260406434\n", + "Minimal eigen value: 0.04076104137677641\n", + "Eigen values: [8.60127563e+02 2.67724398e+02 4.07610414e-02 6.45709126e-01]\n", + "Eigen vectors: [[ 0.00682032 0.31097542 0.88845266 -0.33749021]\n", + " [ 0.17652546 -0.01115594 0.35173389 0.9192375 ]\n", + " [-0.03685282 -0.94968033 0.28899425 -0.11502815]\n", + " [-0.98358229 0.03573676 0.05845903 0.16694703]]\n", + "This is the 54 run out of 81 run.\n", + "The code has run 65.8469 seconds.\n", + "Estimated remaining time: 32.9234 seconds\n", + "=======This is the 55 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03721785545349121\n", + "Solve time with sequential_finite mode [s]: 0.9534194469451904\n", + "Existed information has been added.\n", + "FIM: [[ 29.60378301 -3.64880935 -82.1205141 17.3821499 ]\n", + " [ -3.64880935 28.25082569 -1.65304953 -162.38464167]\n", + " [ -82.1205141 -1.65304953 246.59009731 13.00673328]\n", + " [ 17.3821499 -162.38464167 13.00673328 937.74651949]]\n", + "Trace: 1242.1912254944034\n", + "Determinant: 8235.25358683877\n", + "Condition number: 52178.723230765674\n", + "Minimal eigen value: 0.018520823206699656\n", + "Eigen values: [9.66392908e+02 2.74101178e+02 1.67861869e+00 1.85208232e-02]\n", + "Eigen vectors: [[ 0.0175227 0.31902178 -0.91629358 0.2415039 ]\n", + " [-0.17060093 -0.00440049 0.24663776 0.95396319]\n", + " [ 0.0161924 -0.94769308 -0.30897877 0.07840759]\n", + " [ 0.98505131 0.00914123 0.06409379 0.15963188]]\n", + "This is the 55 run out of 81 run.\n", + "The code has run 67.3787 seconds.\n", + "Estimated remaining time: 31.8518 seconds\n", + "=======This is the 56 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.04112410545349121\n", + "Solve time with sequential_finite mode [s]: 1.0404953956604004\n", + "Existed information has been added.\n", + "FIM: [[ 29.13378347 -3.68827598 -85.67220832 17.50822577]\n", + " [ -3.68827598 28.32116335 3.51348795 -162.88604956]\n", + " [ -85.67220832 3.51348795 257.98931391 -12.9717638 ]\n", + " [ 17.50822577 -162.88604956 -12.9717638 941.03708828]]\n", + "Trace: 1256.4813490105726\n", + "Determinant: 912.7679496352365\n", + "Condition number: 164715.73155698457\n", + "Minimal eigen value: 0.005888295314462867\n", + "Eigen values: [9.69894870e+02 2.86021802e+02 5.58787905e-01 5.88829531e-03]\n", + "Eigen vectors: [[-2.09386554e-02 -3.14583517e-01 -8.48154011e-01 4.25715347e-01]\n", + " [ 1.70542292e-01 2.13372880e-04 4.38592879e-01 8.82355692e-01]\n", + " [ 2.13074831e-02 9.48838489e-01 -2.83823447e-01 1.36732454e-01]\n", + " [-9.84897401e-01 2.72522853e-02 8.78368408e-02 1.46693939e-01]]\n", + "This is the 56 run out of 81 run.\n", + "The code has run 68.9701 seconds.\n", + "Estimated remaining time: 30.7902 seconds\n", + "=======This is the 57 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.040396928787231445\n", + "Solve time with sequential_finite mode [s]: 0.8618447780609131\n", + "Existed information has been added.\n", + "FIM: [[ 28.21160676 -2.76426085 -84.48457968 12.48910193]\n", + " [ -2.76426085 28.67140686 2.81759821 -163.95780792]\n", + " [ -84.48457968 2.81759821 256.04985242 -9.00283513]\n", + " [ 12.48910193 -163.95780792 -9.00283513 942.73620217]]\n", + "Trace: 1255.6690682194967\n", + "Determinant: 899.5862397542079\n", + "Condition number: 104633.90792587177\n", + "Minimal eigen value: 0.009285561152089453\n", + "Eigen values: [9.71584551e+02 2.83723786e+02 3.51445755e-01 9.28556115e-03]\n", + "Eigen vectors: [[-0.01486964 -0.31303863 -0.73613004 0.59991523]\n", + " [ 0.17136125 0.00149149 0.61993016 0.76571516]\n", + " [ 0.01482351 0.9495436 -0.24599553 0.19399333]\n", + " [-0.98498451 0.01927535 0.11526219 0.12707717]]\n", + "This is the 57 run out of 81 run.\n", + "The code has run 70.4020 seconds.\n", + "Estimated remaining time: 29.6429 seconds\n", + "=======This is the 58 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03253769874572754\n", + "Solve time with sequential_finite mode [s]: 0.8821244239807129\n", + "Existed information has been added.\n", + "FIM: [[ 27.99654367 -2.50720674 -83.95744864 10.76638431]\n", + " [ -2.50720674 29.02545718 2.15840468 -164.84973406]\n", + " [ -83.95744864 2.15840468 254.66927826 -4.87591645]\n", + " [ 10.76638431 -164.84973406 -4.87591645 942.561838 ]]\n", + "Trace: 1254.253117113336\n", + "Determinant: 1262.4188372615156\n", + "Condition number: 79135.07035293008\n", + "Minimal eigen value: 0.012277509770972304\n", + "Eigen values: [9.71581599e+02 2.82284330e+02 3.74910088e-01 1.22775098e-02]\n", + "Eigen vectors: [[-0.01246804 -0.31302898 -0.69309505 0.64921234]\n", + " [ 0.17231295 0.00284315 0.67105792 0.72109738]\n", + " [ 0.00867766 0.9496527 -0.23214693 0.21021954]\n", + " [-0.98492512 0.01282689 0.12413027 0.11979005]]\n", + "This is the 58 run out of 81 run.\n", + "The code has run 71.8260 seconds.\n", + "Estimated remaining time: 28.4827 seconds\n", + "=======This is the 59 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.0295255184173584\n", + "Solve time with sequential_finite mode [s]: 0.821347713470459\n", + "Existed information has been added.\n", + "FIM: [[ 31.08084592 -2.64606315 -85.78409829 24.13304834]\n", + " [ -2.64606315 24.96860705 3.01222947 -146.57008895]\n", + " [ -85.78409829 3.01222947 254.9288556 -17.56276948]\n", + " [ 24.13304834 -146.57008895 -17.56276948 910.38049007]]\n", + "Trace: 1221.3587986445489\n", + "Determinant: 195082.57282825402\n", + "Condition number: 3471.2645206027814\n", + "Minimal eigen value: 0.2694306677142919\n", + "Eigen values: [9.35265118e+02 2.83089530e+02 2.73472023e+00 2.69430668e-01]\n", + "Eigen vectors: [[ 0.02962926 0.31875535 -0.71339322 -0.62336766]\n", + " [-0.15900561 0.00679834 -0.65162869 0.74165426]\n", + " [-0.02990322 -0.9470827 -0.24121046 -0.20966083]\n", + " [ 0.98637981 -0.03719088 -0.09092671 0.13192441]]\n", + "This is the 59 run out of 81 run.\n", + "The code has run 73.0684 seconds.\n", + "Estimated remaining time: 27.2458 seconds\n", + "=======This is the 60 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.02926039695739746\n", + "Solve time with sequential_finite mode [s]: 0.7534558773040771\n", + "Existed information has been added.\n", + "FIM: [[ 2.60170105e+01 4.66132728e-02 -7.99753127e+01 -6.02253866e+00]\n", + " [ 4.66132728e-02 2.91524180e+01 1.41948537e+00 -1.64580611e+02]\n", + " [-7.99753127e+01 1.41948537e+00 2.49937133e+02 9.98684470e+00]\n", + " [-6.02253866e+00 -1.64580611e+02 9.98684470e+00 9.43462800e+02]]\n", + "Trace: 1248.5693621038638\n", + "Determinant: 39629.315565825484\n", + "Condition number: 2593.940785202103\n", + "Minimal eigen value: 0.3748603527055738\n", + "Eigen values: [9.72365558e+02 2.75434215e+02 3.74860353e-01 3.94729521e-01]\n", + "Eigen vectors: [[ 0.00746901 -0.3049802 -0.84440355 -0.4403566 ]\n", + " [ 0.17185003 0.01440783 0.45257308 -0.8748929 ]\n", + " [-0.01410573 0.95215493 -0.27623557 -0.12998432]\n", + " [-0.98499381 -0.01343435 0.07651251 -0.15411861]]\n", + "This is the 60 run out of 81 run.\n", + "The code has run 74.2355 seconds.\n", + "Estimated remaining time: 25.9824 seconds\n", + "=======This is the 61 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.03022480010986328\n", + "Solve time with sequential_finite mode [s]: 0.792309045791626\n", + "Existed information has been added.\n", + "FIM: [[ 2.73932956e+01 -1.45315426e+00 -8.26400147e+01 4.14239169e+00]\n", + " [-1.45315426e+00 2.99823513e+01 -2.01971150e-01 -1.64778081e+02]\n", + " [-8.26400147e+01 -2.01971150e-01 2.51485884e+02 9.12936736e+00]\n", + " [ 4.14239169e+00 -1.64778081e+02 9.12936736e+00 9.18955092e+02]]\n", + "Trace: 1227.8166235405777\n", + "Determinant: 4821.607225952014\n", + "Condition number: 28254.606105716935\n", + "Minimal eigen value: 0.033574827143427834\n", + "Eigen values: [9.48643516e+02 2.78596157e+02 3.35748271e-02 5.43375283e-01]\n", + "Eigen vectors: [[-0.00358131 -0.31265984 -0.82098703 -0.47771465]\n", + " [ 0.17654326 0.0074239 -0.49770378 0.84915741]\n", + " [-0.01251494 0.94978756 -0.26720836 -0.16231656]\n", + " [-0.9842068 -0.0096079 -0.08289106 0.15612089]]\n", + "This is the 61 run out of 81 run.\n", + "The code has run 75.5275 seconds.\n", + "Estimated remaining time: 24.7631 seconds\n", + "=======This is the 62 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.02875065803527832\n", + "Solve time with sequential_finite mode [s]: 0.6889393329620361\n", + "Existed information has been added.\n", + "FIM: [[ 2.72368171e+01 -1.05811250e+00 -8.29228311e+01 1.08839222e+00]\n", + " [-1.05811250e+00 3.01551609e+01 2.51873021e-01 -1.61777588e+02]\n", + " [-8.29228311e+01 2.51873021e-01 2.53598775e+02 1.00617879e+01]\n", + " [ 1.08839222e+00 -1.61777588e+02 1.00617879e+01 8.89054985e+02]]\n", + "Trace: 1200.0457384666845\n", + "Determinant: 8708.946711032246\n", + "Condition number: 19594.204732423943\n", + "Minimal eigen value: 0.046884371565880614\n", + "Eigen values: [2.80616321e+02 4.68843716e-02 7.20557871e-01 9.18661975e+02]\n", + "Eigen vectors: [[-3.11080962e-01 9.19547957e-01 -2.40125358e-01 3.59724438e-05]\n", + " [ 1.02928117e-02 2.51827061e-01 9.50997932e-01 -1.79109246e-01]\n", + " [ 9.50246500e-01 2.98843586e-01 -8.66299756e-02 1.48104168e-02]\n", + " [-1.24210620e-02 4.13182341e-02 1.74464874e-01 9.83717708e-01]]\n", + "This is the 62 run out of 81 run.\n", + "The code has run 76.6329 seconds.\n", + "Estimated remaining time: 23.4843 seconds\n", + "=======This is the 63 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.027898550033569336\n", + "Solve time with sequential_finite mode [s]: 0.6889338493347168\n", + "Existed information has been added.\n", + "FIM: [[ 406.15358918 43.20309607 -113.19330705 -185.87940915]\n", + " [ 43.20309607 30.22993438 -1.925958 -161.65135688]\n", + " [-113.19330705 -1.925958 249.89450558 18.23009001]\n", + " [-185.87940915 -161.65135688 18.23009001 885.7721295 ]]\n", + "Trace: 1572.0501586401688\n", + "Determinant: 29233800.47064496\n", + "Condition number: 2448.5406090698\n", + "Minimal eigen value: 0.40133898967133913\n", + "Eigen values: [9.82694814e+02 4.06696953e+02 1.82257053e+02 4.01338990e-01]\n", + "Eigen vectors: [[ 0.32613753 0.78676105 -0.52317345 -0.03051084]\n", + " [ 0.17219849 -0.0408336 -0.0114553 0.98414891]\n", + " [-0.07388043 -0.53121104 -0.84379972 -0.01893528]\n", + " [-0.92656553 0.31169617 -0.11899729 0.17367058]]\n", + "This is the 63 run out of 81 run.\n", + "The code has run 77.7373 seconds.\n", + "Estimated remaining time: 22.2106 seconds\n", + "=======This is the 64 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.028844594955444336\n", + "Solve time with sequential_finite mode [s]: 0.6783580780029297\n", + "Existed information has been added.\n", + "FIM: [[ 30.10831337 -4.38089911 -89.01520993 20.84820152]\n", + " [ -4.38089911 30.84742321 5.87838904 -175.41603021]\n", + " [ -89.01520993 5.87838904 267.46684531 -24.77881995]\n", + " [ 20.84820152 -175.41603021 -24.77881995 1003.34724089]]\n", + "Trace: 1331.7698227751184\n", + "Determinant: 1471.1365017676749\n", + "Condition number: 96018.55347085277\n", + "Minimal eigen value: 0.010783879951121737\n", + "Eigen values: [1.03545255e+03 2.95861178e+02 4.45307225e-01 1.07838800e-02]\n", + "Eigen vectors: [[-0.02433597 -0.31433599 -0.76180676 0.56590733]\n", + " [ 0.17215436 -0.00161883 0.58429789 0.79306761]\n", + " [ 0.03589061 0.94837744 -0.25645631 0.18309084]\n", + " [-0.98411509 0.04207722 0.11169869 0.13141693]]\n", + "This is the 64 run out of 81 run.\n", + "The code has run 78.8266 seconds.\n", + "Estimated remaining time: 20.9383 seconds\n", + "=======This is the 65 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.02795577049255371\n", + "Solve time with sequential_finite mode [s]: 0.6942675113677979\n", + "Existed information has been added.\n", + "FIM: [[ 30.17272223 -4.18884081 -89.1044638 19.88663874]\n", + " [ -4.18884081 31.08718816 5.16470204 -176.88847127]\n", + " [ -89.1044638 5.16470204 267.57625841 -21.10479652]\n", + " [ 19.88663874 -176.88847127 -21.10479652 1012.05397319]]\n", + "Trace: 1340.890141983125\n", + "Determinant: 1321.4261148300932\n", + "Condition number: 109894.64877839191\n", + "Minimal eigen value: 0.009500908211006515\n", + "Eigen values: [1.04409897e+03 2.96332142e+02 4.49528608e-01 9.50090821e-03]\n", + "Eigen vectors: [[-2.26980450e-02 -3.14783751e-01 -7.73173319e-01 5.50089999e-01]\n", + " [ 1.72131276e-01 -8.97195441e-04 5.67948383e-01 8.04863127e-01]\n", + " [ 3.05023907e-02 9.48461224e-01 -2.60267303e-01 1.78190464e-01]\n", + " [-9.84339995e-01 3.64923455e-02 1.09080631e-01 1.33583300e-01]]\n", + "This is the 65 run out of 81 run.\n", + "The code has run 80.0297 seconds.\n", + "Estimated remaining time: 19.6996 seconds\n", + "=======This is the 66 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.028339147567749023\n", + "Solve time with sequential_finite mode [s]: 0.6761775016784668\n", + "Existed information has been added.\n", + "FIM: [[ 29.70578588 -3.96366177 -88.06066451 18.49300057]\n", + " [ -3.96366177 31.44605229 4.83164929 -178.15508371]\n", + " [ -88.06066451 4.83164929 265.02716875 -18.9779616 ]\n", + " [ 18.49300057 -178.15508371 -18.9779616 1015.52667747]]\n", + "Trace: 1341.705684394212\n", + "Determinant: 1580.8043425176177\n", + "Condition number: 88544.29461432203\n", + "Minimal eigen value: 0.01183266607407673\n", + "Eigen values: [1.04771507e+03 2.93544392e+02 4.34388713e-01 1.18326661e-02]\n", + "Eigen vectors: [[-2.09149184e-02 -3.14345159e-01 -7.39141541e-01 5.95331395e-01]\n", + " [ 1.72772896e-01 -1.54984974e-04 6.14910329e-01 7.69437970e-01]\n", + " [ 2.72876756e-02 9.48736671e-01 -2.48853942e-01 1.92939956e-01]\n", + " [-9.84361456e-01 3.29518638e-02 1.16733825e-01 1.27749417e-01]]\n", + "This is the 66 run out of 81 run.\n", + "The code has run 81.1013 seconds.\n", + "Estimated remaining time: 18.4321 seconds\n", + "=======This is the 67 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.028170108795166016\n", + "Solve time with sequential_finite mode [s]: 0.6951816082000732\n", + "Existed information has been added.\n", + "FIM: [[ 28.87108922 -3.39947726 -86.34696928 15.77385656]\n", + " [ -3.39947726 32.57755647 3.70464473 -183.98458435]\n", + " [ -86.34696928 3.70464473 261.42379121 -13.62818592]\n", + " [ 15.77385656 -183.98458435 -13.62818592 1045.22040802]]\n", + "Trace: 1368.0928449213357\n", + "Determinant: 1502.3054334607007\n", + "Condition number: 83441.86522681009\n", + "Minimal eigen value: 0.012921000327894705\n", + "Eigen values: [1.07815237e+03 2.89555121e+02 3.72435190e-01 1.29210003e-02]\n", + "Eigen vectors: [[-1.69259699e-02 -3.13051279e-01 -6.95368669e-01 6.46664382e-01]\n", + " [ 1.73364986e-01 7.58607692e-04 6.68234591e-01 7.23468408e-01]\n", + " [ 1.90039920e-02 9.49436608e-01 -2.32955289e-01 2.09620632e-01]\n", + " [-9.84528792e-01 2.38421653e-02 1.25127056e-01 1.20323853e-01]]\n", + "This is the 67 run out of 81 run.\n", + "The code has run 82.2054 seconds.\n", + "Estimated remaining time: 17.1772 seconds\n", + "=======This is the 68 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.029484272003173828\n", + "Solve time with sequential_finite mode [s]: 0.683621883392334\n", + "Existed information has been added.\n", + "FIM: [[ 30.32489916 -1.70077673 -83.53703893 29.69908359]\n", + " [ -1.70077673 40.22404765 17.70306278 -139.3977158 ]\n", + " [ -83.53703893 17.70306278 265.55378387 -10.6034954 ]\n", + " [ 29.69908359 -139.3977158 -10.6034954 1011.44649845]]\n", + "Trace: 1347.5492291173557\n", + "Determinant: 3010729.9627101882\n", + "Condition number: 2327.092517989046\n", + "Minimal eigen value: 0.44357883128239384\n", + "Eigen values: [1.03224898e+03 2.92366715e+02 4.43578831e-01 2.24899558e+01]\n", + "Eigen vectors: [[-0.03126182 -0.2997622 0.88845386 0.34614313]\n", + " [ 0.13946254 0.04900901 -0.3403447 0.92860853]\n", + " [ 0.02031167 0.95207692 0.29988648 0.05661343]\n", + " [-0.98952531 0.03592056 -0.0698808 0.12110348]]\n", + "This is the 68 run out of 81 run.\n", + "The code has run 83.2975 seconds.\n", + "Estimated remaining time: 15.9245 seconds\n", + "=======This is the 69 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.02793741226196289\n", + "Solve time with sequential_finite mode [s]: 0.6964712142944336\n", + "Existed information has been added.\n", + "FIM: [[ 32.42034618 -1.23169886 -93.80255583 3.5731722 ]\n", + " [ -1.23169886 29.8203717 -2.24494638 -172.34077611]\n", + " [ -93.80255583 -2.24494638 277.00409825 21.18568535]\n", + " [ 3.5731722 -172.34077611 21.18568535 1002.72331499]]\n", + "Trace: 1341.9681311253396\n", + "Determinant: 23151.047329066576\n", + "Condition number: 7598.504901836265\n", + "Minimal eigen value: 0.13594106221265628\n", + "Eigen values: [1.03294883e+03 3.08348676e+02 5.34686339e-01 1.35941062e-01]\n", + "Eigen vectors: [[-0.00110395 -0.32207505 -0.88388249 0.33914333]\n", + " [ 0.16931833 0.00922069 0.34992938 0.9213011 ]\n", + " [-0.02797549 0.94634099 -0.30239118 0.11052457]\n", + " [-0.98516367 -0.0249274 0.06971914 0.1548238 ]]\n", + "This is the 69 run out of 81 run.\n", + "The code has run 84.4914 seconds.\n", + "Estimated remaining time: 14.6942 seconds\n", + "=======This is the 70 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.02761530876159668\n", + "Solve time with sequential_finite mode [s]: 0.6862764358520508\n", + "Existed information has been added.\n", + "FIM: [[ 2.83976041e+01 -1.67609377e+00 -8.54361913e+01 5.27933611e+00]\n", + " [-1.67609377e+00 3.33874465e+01 1.73718404e-02 -1.80550094e+02]\n", + " [-8.54361913e+01 1.73718404e-02 2.59251869e+02 7.88570633e+00]\n", + " [ 5.27933611e+00 -1.80550094e+02 7.88570633e+00 9.92110458e+02]]\n", + "Trace: 1313.147377519939\n", + "Determinant: 9737.395772584301\n", + "Condition number: 18966.410127745843\n", + "Minimal eigen value: 0.05404740537665949\n", + "Eigen values: [1.02508526e+03 2.87396531e+02 5.40474054e-02 6.11542245e-01]\n", + "Eigen vectors: [[-0.00468899 -0.31341273 -0.85406023 -0.41512841]\n", + " [ 0.17911454 0.0067818 -0.43288536 0.88344907]\n", + " [-0.00960261 0.94957027 -0.27929331 -0.14219474]\n", + " [-0.98377019 -0.0065402 -0.07201828 0.16421573]]\n", + "This is the 70 run out of 81 run.\n", + "The code has run 85.5896 seconds.\n", + "Estimated remaining time: 13.4498 seconds\n", + "=======This is the 71 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.030688762664794922\n", + "Solve time with sequential_finite mode [s]: 0.6938521862030029\n", + "Existed information has been added.\n", + "FIM: [[ 28.48721679 -1.8280151 -89.16643363 5.27816235]\n", + " [ -1.8280151 33.35771807 -2.78134131 -177.90900327]\n", + " [ -89.16643363 -2.78134131 292.85879527 20.93685849]\n", + " [ 5.27816235 -177.90900327 20.93685849 968.458082 ]]\n", + "Trace: 1323.1618121226934\n", + "Determinant: 147299.59384690944\n", + "Condition number: 3086.382538541296\n", + "Minimal eigen value: 0.32458674179528096\n", + "Eigen values: [1.00179885e+03 3.19621096e+02 1.41727722e+00 3.24586742e-01]\n", + "Eigen vectors: [[ 0.00298019 0.29321726 -0.8014063 0.52130863]\n", + " [-0.18069131 -0.00877455 0.53355076 0.82619443]\n", + " [ 0.02936749 -0.95565069 -0.24784945 0.15633282]\n", + " [ 0.9830968 0.02604599 0.10789889 0.1456026 ]]\n", + "This is the 71 run out of 81 run.\n", + "The code has run 86.6934 seconds.\n", + "Estimated remaining time: 12.2103 seconds\n", + "=======This is the 72 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.02768707275390625\n", + "Solve time with sequential_finite mode [s]: 0.6719825267791748\n", + "Existed information has been added.\n", + "FIM: [[ 2.83264522e+01 -1.33552984e+00 -8.51380177e+01 2.56666062e+00]\n", + " [-1.33552984e+00 3.34522606e+01 -9.11437300e-01 -1.75594764e+02]\n", + " [-8.51380177e+01 -9.11437300e-01 2.58131136e+02 1.38840063e+01]\n", + " [ 2.56666062e+00 -1.75594764e+02 1.38840063e+01 9.46176077e+02]]\n", + "Trace: 1266.085925592408\n", + "Determinant: 16631.952419274636\n", + "Condition number: 15377.40831523563\n", + "Minimal eigen value: 0.06366863408701079\n", + "Eigen values: [9.79058583e+02 2.86030857e+02 6.36686341e-02 9.32816316e-01]\n", + "Eigen vectors: [[ 0.00120705 0.31382957 -0.88893819 -0.33361419]\n", + " [-0.18256048 -0.00950747 -0.34860208 0.91927029]\n", + " [ 0.01901959 -0.94929323 -0.29137624 -0.11653539]\n", + " [ 0.9830099 0.01621618 -0.05801174 0.17338743]]\n", + "This is the 72 run out of 81 run.\n", + "The code has run 87.7720 seconds.\n", + "Estimated remaining time: 10.9715 seconds\n", + "=======This is the 73 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.029311418533325195\n", + "Solve time with sequential_finite mode [s]: 0.7014997005462646\n", + "Existed information has been added.\n", + "FIM: [[ 31.83274557 -5.74842271 -93.40410859 27.92192828]\n", + " [ -5.74842271 33.87294686 8.71011784 -191.40917933]\n", + " [ -93.40410859 8.71011784 278.82970073 -39.23706652]\n", + " [ 27.92192828 -191.40917933 -39.23706652 1087.92667313]]\n", + "Trace: 1432.462066291894\n", + "Determinant: 2527.1770189946437\n", + "Condition number: 72221.06297255625\n", + "Minimal eigen value: 0.015570489923575806\n", + "Eigen values: [1.12451733e+03 3.07459724e+02 4.69438819e-01 1.55704899e-02]\n", + "Eigen vectors: [[-0.03037126 -0.31506528 -0.75850957 0.5696268 ]\n", + " [ 0.17310497 -0.00377822 0.5879984 0.79011283]\n", + " [ 0.05075106 0.94729044 -0.25689031 0.18458744]\n", + " [-0.98312593 0.05796907 0.11370352 0.13105155]]\n", + "This is the 73 run out of 81 run.\n", + "The code has run 88.9887 seconds.\n", + "Estimated remaining time: 9.7522 seconds\n", + "=======This is the 74 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.028374433517456055\n", + "Solve time with sequential_finite mode [s]: 0.678058385848999\n", + "Existed information has been added.\n", + "FIM: [[ 33.39046075 -13.47726667 -95.63934904 39.72237618]\n", + " [ -13.47726667 57.35158484 25.17165921 -249.69539905]\n", + " [ -95.63934904 25.17165921 281.24313935 -63.87749649]\n", + " [ 39.72237618 -249.69539905 -63.87749649 1187.55157107]]\n", + "Trace: 1559.5367560100465\n", + "Determinant: 394879.5585796292\n", + "Condition number: 5371.2501565313705\n", + "Minimal eigen value: 0.23215218482096997\n", + "Eigen values: [1.24694746e+03 3.07927227e+02 2.32152185e-01 4.42991743e+00]\n", + "Eigen vectors: [[ 0.04002076 0.31702475 -0.91733743 -0.2374567 ]\n", + " [-0.20662741 -0.02284046 -0.26093196 0.94270777]\n", + " [-0.0738291 -0.94392308 -0.29797528 -0.12152868]\n", + " [ 0.97480907 -0.08934675 -0.04021546 0.20036755]]\n", + "This is the 74 run out of 81 run.\n", + "The code has run 90.0756 seconds.\n", + "Estimated remaining time: 8.5207 seconds\n", + "=======This is the 75 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.027086973190307617\n", + "Solve time with sequential_finite mode [s]: 0.6586818695068359\n", + "Existed information has been added.\n", + "FIM: [[ 31.43030815 -5.33439747 -92.48550645 25.11853827]\n", + " [ -5.33439747 34.61961863 7.43268078 -194.41474548]\n", + " [ -92.48550645 7.43268078 276.77939762 -31.1945572 ]\n", + " [ 25.11853827 -194.41474548 -31.1945572 1099.06905538]]\n", + "Trace: 1441.8983797824621\n", + "Determinant: 1983.6758411296003\n", + "Condition number: 97908.94465880806\n", + "Minimal eigen value: 0.011596838957080625\n", + "Eigen values: [1.13543426e+03 3.05960135e+02 4.92384347e-01 1.15968390e-02]\n", + "Eigen vectors: [[-0.02657867 -0.31502304 -0.7274653 0.60897315]\n", + " [ 0.17410443 -0.00144869 0.62871299 0.75789546]\n", + " [ 0.04010185 0.94792312 -0.2467794 0.1973158 ]\n", + " [-0.98355125 0.04690568 0.12088894 0.1257484 ]]\n", + "This is the 75 run out of 81 run.\n", + "The code has run 91.1432 seconds.\n", + "Estimated remaining time: 7.2915 seconds\n", + "=======This is the 76 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.02901911735534668\n", + "Solve time with sequential_finite mode [s]: 0.7135286331176758\n", + "Existed information has been added.\n", + "FIM: [[ 31.49858531 -4.60012202 -92.35075973 21.62467522]\n", + " [ -4.60012202 35.15595467 6.59539096 -197.41037727]\n", + " [ -92.35075973 6.59539096 274.77868234 -27.6378864 ]\n", + " [ 21.62467522 -197.41037727 -27.6378864 1115.2718156 ]]\n", + "Trace: 1456.7050379153036\n", + "Determinant: 7565.683188379254\n", + "Condition number: 23288.5899482656\n", + "Minimal eigen value: 0.04945362598000439\n", + "Eigen values: [1.15170522e+03 3.04514152e+02 4.36215604e-01 4.94536260e-02]\n", + "Eigen vectors: [[-0.02256784 -0.31726719 -0.74668281 0.5842063 ]\n", + " [ 0.17424342 -0.00106525 0.6037903 0.77786591]\n", + " [ 0.03469437 0.94747034 -0.25427319 0.19089629]\n", + " [-0.98383242 0.04050111 0.1150965 0.13109628]]\n", + "This is the 76 run out of 81 run.\n", + "The code has run 92.2599 seconds.\n", + "Estimated remaining time: 6.0697 seconds\n", + "=======This is the 77 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.027924776077270508\n", + "Solve time with sequential_finite mode [s]: 0.6846489906311035\n", + "Existed information has been added.\n", + "FIM: [[ 30.73699547 -21.19495002 -107.60641402 19.92081655]\n", + " [ -21.19495002 2719.25182178 2533.72944403 -976.43067198]\n", + " [-107.60641402 2533.72944403 2643.44658159 -803.65921926]\n", + " [ 19.92081655 -976.43067198 -803.65921926 1097.29715844]]\n", + "Trace: 6490.73255728231\n", + "Determinant: 190559719.5183603\n", + "Condition number: 19437.341050534676\n", + "Minimal eigen value: 0.2866538356192987\n", + "Eigen values: [5.57178837e+03 2.86653836e-01 1.56554268e+02 7.62103270e+02]\n", + "Eigen vectors: [[ 0.01665257 -0.90369207 0.42728266 -0.02220036]\n", + " [-0.68940065 0.29652668 0.65749806 0.06704456]\n", + " [-0.6715202 -0.30337738 -0.59920063 0.3130198 ]\n", + " [ 0.27112738 0.05809243 0.16150677 0.94711709]]\n", + "This is the 77 run out of 81 run.\n", + "The code has run 93.4381 seconds.\n", + "Estimated remaining time: 4.8539 seconds\n", + "=======This is the 78 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.028234004974365234\n", + "Solve time with sequential_finite mode [s]: 0.6925363540649414\n", + "Existed information has been added.\n", + "FIM: [[ 27.83923181 -5.93254889 -82.61397451 25.07129494]\n", + " [ -5.93254889 37.14511408 4.34455669 -199.50889735]\n", + " [ -82.61397451 4.34455669 271.77117608 -11.57589857]\n", + " [ 25.07129494 -199.50889735 -11.57589857 1088.16008096]]\n", + "Trace: 1424.915602936087\n", + "Determinant: 242719.07636671272\n", + "Condition number: 3580.193883212596\n", + "Minimal eigen value: 0.31439508151227563\n", + "Eigen values: [1.12559535e+03 2.96694131e+02 2.31172901e+00 3.14395082e-01]\n", + "Eigen vectors: [[ 0.02468053 0.29165306 -0.90306781 0.31432134]\n", + " [-0.18040713 -0.00403799 0.31775428 0.93084326]\n", + " [-0.01663515 -0.9562084 -0.27871992 0.08777223]\n", + " [ 0.9831416 -0.02424199 0.07626245 0.16440485]]\n", + "This is the 78 run out of 81 run.\n", + "The code has run 94.5398 seconds.\n", + "Estimated remaining time: 3.6361 seconds\n", + "=======This is the 79 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.02758193016052246\n", + "Solve time with sequential_finite mode [s]: 0.6991641521453857\n", + "Existed information has been added.\n", + "FIM: [[ 27.7978235 -2.99529131 -86.30978784 7.19668008]\n", + " [ -2.99529131 41.30650306 7.9477412 -208.69078171]\n", + " [ -86.30978784 7.9477412 269.79185838 -13.34930499]\n", + " [ 7.19668008 -208.69078171 -13.34930499 1092.65815437]]\n", + "Trace: 1431.5543393101382\n", + "Determinant: 67145.03741863278\n", + "Condition number: 7398.165055704758\n", + "Minimal eigen value: 0.1531312568155178\n", + "Eigen values: [1.13289031e+03 2.97208626e+02 1.53131257e-01 1.30226929e+00]\n", + "Eigen vectors: [[-0.00829041 -0.30458106 0.94827835 0.08904955]\n", + " [ 0.18789128 0.01471025 -0.085506 0.97835024]\n", + " [ 0.01774745 0.95210479 0.3051254 0.00894338]\n", + " [-0.98199448 0.02259327 -0.01885168 0.18660384]]\n", + "This is the 79 run out of 81 run.\n", + "The code has run 95.6575 seconds.\n", + "Estimated remaining time: 2.4217 seconds\n", + "=======This is the 80 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.028540611267089844\n", + "Solve time with sequential_finite mode [s]: 0.6787211894989014\n", + "Existed information has been added.\n", + "FIM: [[ 29.88472223 -2.68849472 -89.07748234 9.11862585]\n", + " [ -2.68849472 36.9370456 1.54848509 -194.03562837]\n", + " [ -89.07748234 1.54848509 268.44630988 2.22990802]\n", + " [ 9.11862585 -194.03562837 2.22990802 1041.19328846]]\n", + "Trace: 1376.4613661707033\n", + "Determinant: 17886.083553769175\n", + "Condition number: 17044.02455215826\n", + "Minimal eigen value: 0.06321667356605301\n", + "Eigen values: [1.07746654e+03 2.98050585e+02 6.32166736e-02 8.81028274e-01]\n", + "Eigen vectors: [[ 0.00890992 0.31520388 -0.86124408 -0.3985295 ]\n", + " [-0.18333049 -0.00679654 -0.41643465 0.89046388]\n", + " [ 0.00137755 -0.94899553 -0.28287071 -0.13924709]\n", + " [ 0.98300999 -0.00279465 -0.06946204 0.1698781 ]]\n", + "This is the 80 run out of 81 run.\n", + "The code has run 96.8293 seconds.\n", + "Estimated remaining time: 1.2104 seconds\n", + "=======This is the 81 th iteration=======\n", + "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Pyomo.DAE option: True\n", + "Constant T option: False\n", + "K_aug formulation: False\n", + "Build time with sequential_finite mode [s]: 0.029165029525756836\n", + "Solve time with sequential_finite mode [s]: 0.6474709510803223\n", + "Existed information has been added.\n", + "FIM: [[ 2.97578061e+01 -1.98912708e+00 -8.89093984e+01 5.10636380e+00]\n", + " [-1.98912708e+00 3.71224643e+01 -1.58607876e-01 -1.92016824e+02]\n", + " [-8.89093984e+01 -1.58607876e-01 2.68347740e+02 1.15199227e+01]\n", + " [ 5.10636380e+00 -1.92016824e+02 1.15199227e+01 1.01957134e+03]]\n", + "Trace: 1354.7993484692117\n", + "Determinant: 21846.64549366849\n", + "Condition number: 15849.72029679074\n", + "Minimal eigen value: 0.06662244366106475\n", + "Eigen values: [1.05594710e+03 2.97742636e+02 6.66224437e-02 1.04299209e+00]\n", + "Eigen vectors: [[ 0.00403949 0.31510289 -0.88322723 -0.34728017]\n", + " [-0.18519849 -0.00948439 -0.3632389 0.9130548 ]\n", + " [ 0.01395332 -0.94895322 -0.29031282 -0.12252168]\n", + " [ 0.98259376 0.0103926 -0.0607094 0.1752594 ]]\n", + "This is the 81 run out of 81 run.\n", + "The code has run 97.8859 seconds.\n", + "Estimated remaining time: 0.0000 seconds\n", + "Overall model building time [s]: 2.518775701522827\n", + "Overall model solve time [s]: 60.28285574913025\n", + "Overall wall clock time [s]: 97.8859760761261\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", - " prior_FIM=prior_pass, discretize_model=disc)\n", + " prior_FIM=prior_pass, discretize_model=disc, args=args_)\n", "\n", "all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", - " mode='direct_kaug', \n", + " mode=sensi_opt, \n", " scale_nominal_param_value=True\n", " )" ] @@ -573,10 +5134,229 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "id": "991969ba", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (1.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (2.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (3.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.0, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (4.5, 700.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 300.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 350.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 400.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 450.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 500.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 550.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 600.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 650.0)\n", + "Design variable: ['CA0', 'T']\n", + "Value : (5.0, 700.0)\n", + "[\"'CA0'\"] is/are fixed.\n", + "1D sensitivity curve is plotted with T .\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "test = all_fim.extract_criteria()\n", "\n", @@ -598,10 +5378,66 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "id": "c9fe2868", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2D heatmap is plotted with ['CA0', 'T'] .\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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8mPgBwHmS/gycZGbPVNPb12IHLQK2BkbgVvJl4GbgG2b2RkauZqtrZlMl7YtPNJ+Ez8J/08zubNrVBEHQUjo1gJyk+3D39YX48/FeK5EgPi2h/zLwbeAhSQeZ2Z8q6W67ETCznTO/vwN8MUedmq1uKrscuLyefgZB0Lfp8HwCfwB+Uy2khJm9hu/BuljSJ6i8YhLoA0YgCIKgEXRyPgEzG1tHnfvIsdIojEAQBB1DB48EmkYYgSAIOoJuyScgaXl8uX2p1UG3mtnTtegLIxAEQcfQySMBSR/GY519G1gdeA9fWlpYHbQCYGnz2q+BC83svWp6wwjkYmN8Ur5JPD2oeboBX3HbZG5urvpT1myu/ppenepg79wLAXtBk/eZ7tGCP6Pe0MkjgRRu/xDgXuBn+MbY+8xsYUbmg/joYE982fyxkkZWWwEZRiAIgo6gw1cHbQBsa2b3lhMws1eAa4BrJB0FfBf4BBBGIAiCzqfDVwftVaP8fOBXeWTDCARB0DF08EigaYQRCIKgI+hkd5CkTWqRr2WFUBiBIAg6hk6dGAaepHqo/Cy57WEYgSAIOoJOHgkk3sCX+v0ftRmEioQRCIKgY+jgkcB38AihBwI74xnPLjSzp3qruIPvWRAE3YSA9+c8+htmNt7MvoCH1z8f+DrwuKTbJB0qaY16dbfUCEgaUyJR84zM+fElzt9RpGN5SedImi3pLUnXpqQy1dreR9LDkuann8ObcY1BELSHwmaxPEd/xcxeMLPTzOyjeOiIfwCnAi9L+mk9OttxPx4D1s0cWxedn1x0fo+i82OBfYD9gB3xtGwTJJV1B0oaiuceuBjYJv28TNK2vbuUIAj6EsvmPDqBlIFsPB4e/334xrCaacecwEIzm1Hh/Pxy51PChIOBg8xsUio7AE9EvyswsYzOUcDNZnZq+nyqpF1S+X41X0EQBH2OLpgYBkDSh/D4QQcAW+Cpc4/EX3Rrph0jgU0kvSjpGUmXllj/uoOkmZIel/Q7Setkzg3GLd4NhQIzex54BNi+QptDs3USE6vUCYKgn9Gp7iBJq0o6SNJNwHQ8jtDlwEfMbAcz+21K31szrR4J3AmMBB7FU6UdD0yVtJWZzQH+BlwJPINPgJwC3CRpcNoGPRBPQTm7SO8rVM6gMzDJ5K4j6VDgUIANN9wwx6UFQdBOOjlsBDADWIA/H39GZpmopB52LU/00AKtTjR/ffZzmvR9Gl/2dKaZXZo5/UAKifosHhXvygqqRfV1s8XnK9Yxs3HAOIAhQ4Y0bE1uEATNocPdQSum48B0VMKo4dne1n0CZvampIeAzcqcf0nSC5nzM/DveQAwKyO6Dh5atRwz6PnWvw49RwdBEPRTOtwInNQsxW01ApJWwCc2SkajlzQAWB94ORXdgw+JhgGXJJkNgC2BqRWauj3VOSNTNqxKnSAI+hn90d+fBzPrDCMg6ZfAX4Dn8DfxE4CVgQskrQKMwbdFv4zPCfwcmAlcBWBmr0k6HzhD0kxgDp484X58aWmhnRuBu8zsuFR0NnCrpOOSruHALsAOTbzcIAhaSIePBJpGq0cCGwD/yxJ3zh3Admb2rKQV8T0DI4A1cENwM/ANM3sjo+NoYCG+HGpF4EZghJktyshsCjxf+GBmUyXti080nwQ8BXyzWsadIAj6F51qBCR9vhZ5M7spr2yrJ4b3rXDuHeCLOXTMA45KRzmZQSXKLseXVAVB0IF0+OqgyfiEryrIFM4bEUU0CIJuo505htOS8v2AT+JJ4Dc2s+k56u0DnIx7L54CRpvZVSVEd2lcb5cmjEAQBB1DG91BK+EbUq8BzspTIRPO5kR8CfzeeDibzxa7qs3slsZ2dwlhBIIg6AjaOTFsZmMBJA2podoocoazSZEVnjezBb3ubBGduqIqCIIupJ+FjaglnM0TuKsJADkXStqot52IkUAu3gbubZ76h05unm6ArVZrrn6A3GsR6uP485qr/5Ijm6ufB5qsH5bePtkE/jqqufo1tpf1qWkkMEDStMzncSlKQCupJZxN8YTwMsD+eFTlZ3vTiTACQRB0BDWuDpptZhVdN5JOAUZX0bOLmU3J32wPagpn0wzCCARB0BE0YU5gLJ7GsRLP9UJ/nwhnE0YgCIKOoZH+fjObTc+IxY2k1nA2y2Qihi5bomwxfTaKaBAEQbNo5+ogSQPxt/qPpKKPpry/z5nZ3CTT23A2t5UoKxX1oP9EEQ2CIGgkbdwncBi+3r/AdennQXgKSOhdOJvOCCAXBEHQLNoZNsLMxuABMCvJDCpRliucTcdEEQ2CIGgWEUW0PvrQvokgCILe0c82i+VG0vA66qwrabtqci2/H6ljF0iaJWmepIclfS5zfrwkKzruKNKxvKRzJM2W9Jaka1NymWpt75Pam59+1nxjgyDomxRGAnmOfsh5ku6TdJikNSsJStpR0jjgSeDj1RS3OqnMGvgM99/xvMGzgE3wxDFZJgMHZD6/W3R+LPBVPL5GIbHMhJSQfhElqCVYUxAE/ZP++Jafkw8DP8KTzJ8j6RHgPvwZOh/4AP4sHYJHMb0VGGZmVbMntnpO4BjgZTMbkSl7poTcfDObUUqBpNWBg4GDzGxSKjsA3zq9Kx57oxSjyBmsKQiC/kcnzwmY2dvAzyT9HH+B/SKwHbAesAL+Mvwovuz0T2b2aF7drTYCewF/k/QnfD3sS8DvgfPMLLtVeoeUPvJV4BY8xnZhtDAYXwSwOPCSmT2fLOP2lDcCQ4FzisomAt/rzQUFQdA36PCkMgCkKKJ/SkdDaPXoaRPgCOBp3JKdDZwOZMN3/Q1PMfkF4IfAZ4CbJC2fzg8EFtFzJ1+5wEsFagnWhKRDJU2TNG3WrFcrX1UQBH2CDp4TaBqtHgksA0zL7Jj7p6TNcCNwLoCZXZqRf0DSPbirZ0/cl1+OPIGXcgdrShEFxwEMGfLRlgZ0CoKgdjrZHZRF0oYVTr8HvFaUl70irTYCLwMPF5U9AvygXAUze0nSC8BmqWgG/l0XktUXWAefDClHnwjWFARB8+jgieEs06nywivpaeAXZva7aspafc9uAzYvKvsIFeJhSxoArI8bEIB7gAV4oKWCzAbAlpQPvARLgjVlqRSsKQiCfkSHLxHNchgefuIBfJfy4XhYiQdT+XHAY8BvJI2spqzVI4GzgKmSRuMTG58Evg/8BEDSKvhFXYE/9AcBP8eXkF4FYGavSTofOCNNHheWiN6PLy0l6eptsKYgCPoZXTIS+AjuVv9aUfnPJF0BDDSzL0u6CPeyjK+krKX3zMzuxlcIfQO3WqcCJwC/TiKLgK3xZM2PAxfgFm1okY/raHx+4E/46OJN4CtFewQ2BdbNtD0V2Bc4EDcYIygfrCkIgn7GMsD7cx79nP3xVZWl+D3w7fT7ZfT0vPSg5bGDzOw6lkTYKz73Dr5qqJqOecBR6SgnM6hEWa5gTUEQ9E+6ZCSwKrB2mXNrA6uk31/HX6wr0iX3LAiCTqeL5gRuAU6TNDhbKGkI7l25ORVtRo7MZxFFNAiCjqEDHvB5OBKf/7xL0nP4nOk6wIZ4BIaCh2QV4LxqysIIBEHQEYjucG2Y2TOStsAT1myLz30+CNwBjE+7ijGzs/LoCyMQBEFH0A1hIwqkB/3iDa29IYxAEAQdQ5e4gxpKGIFczMdXqjaJrbZvnm6Af7VgP9zk6iK9YcZvmqv/+eoiveOlZjeAb6FsIs/1+p2zuXRy2Ii0A3i4md0n6Rkq7xg2M9s0r+4wAkEQdAwdPCdwC77ks/B7w+KZhREIgqAj6OSRgJkdlPl9ZCN1hxEIgqAj6GQj0Ew6ePQUBEE3UVgdlOfo70j6pKQrU571hZI+lcpPk7R7LbrCCARB0DEsk/Poz0jaAY+KvAVwCUtf0nt4lNHc9Pf7EQRBAHRV2IjT8dS4WwH/r+jcP4BP1aIs5gSCIOgYOuABn4dPAXubmUkqXiU0m/LB5UrS0pGApCMl3S/p9XTcLmnPzHlJGiPpJUnvSJoiaasiHctLOif5wt6SdG1KKlOt7X0kPSxpfvo5vBnXGARBG2mTPyjlJL9Z0quSTNKgHHVGJtniY4UqVecBK5U5ty7wWi19b7U76AXgWNySDQFuAq6W9PF0/hg8ufxRwKfxwEiTJK2a0TEW2AfYD9gRWA2YIKnsS4CkoXjugYuBbdLPyyRt26gLC4KgzYh2JhRYCbgBT4pVC2/jD+7FRwqVX4m/A6OKnnmFEcHB+HM1Ny11B5nZNUVFoyUdDgyV9AAwCjjdzK4AkHQgbgi+BfxW0ur4RR5kZpOSzAF4espdcT9ZKUYBN5vZqenzqZJ2SeX7NebqgiBoK22MIGdmY2FxOOcaq9qMGuucgCfTug/Pj2LAgZLOBAbjL9C5advEsKRlJe2LhzudCmyMJ4K/oSCTkszcChTiKgzGV3hlZZ7Hk9VXir0wNFsnMbFKnSAI+hv9b2Z4RUnPSnpB0gRJn6xWwczuA3YCXgFG4+bve+n058ysphg3LZ8YlrQ1vrxpBTwt5HAze0BS4YH8SlGVV/BE8+BGYhE++VEsM7BCswPL6K1UJwiC/kRtu8UGSJqW+TzOzFodHekx4Dv4G/2qeD7g2yR9wsyeqFTRzP4BfCHNH6wJvGpmb9fTiXasDnoM98uvgfv2L5C0c+Z88Wy3SpQVk0emJr2SDgUOBdhwwwFVVAdB0CfI79uYbWYVXTeSTsHftCuxi5lNyd1qBjO7HX8hLrQ3FbgXnxP9fk4d8+hleMJ25Bh+F3gyfZwm6dN44viCv34gSwd1XIclb/EzcFs/AJhVJHNrhWZn0POtP6u3VD8Xx+oeMmTThgVrCoKgSTQ+bsRY4I9VZKqmb8yLmS1Ko5PNGqUzD31hn8AywPJ4WrQZwDDgboA01NkR+HGSvQcPmDsM3ylHWh66JT6vUI7bU50zMmXDqtQJgqA/0eCsMmY2m56u56YhScDHcfdQy2ipEZB0OnAd/qa/Kr7qZ2dgz7TxYSy+YuhR4HHgeHze4BIAM3tN0vnAGZJmAnOAM4H7yUS0l3QjcJeZHZeKzgZulXQccBUwHNgF2KGpFxwEQWtp06SvpIG4t+EjqeijktYAnjOzuUlmqeeSpBPxlJBP4Evdv48bgcNb2fdWjwQG4sOrgfiGhvuBL5lZYWnnL4AV8eTIHwDuBHYzszcyOo4GFuLr/lcEbgRGmNmijMymZFxKZjY1rUQ6BTgJeAr4ppnd2fArDIKgPbQ3yfBhwImZz9elnwcB49PvSz2X8HnRcSx5Hv4T2MnM7mpmR4tp9T6BkVXOG77ZYkwFmXn4xMlRFWQGlSi7HF9TGwRBp9KmkYCZjaHKRrHi55KZHY2/1LaVvjAnEARB0Hs6OKGApBG1yJvZhXllyxoBSbmVFHGCmT1bZ90gCIL66dy4yONrkDWg90YA2B9frTO/hsY3xJdVhREIgqC1NHh1UB9j42YpruYO2ivvJIWk5YB3e9+lIAiCOuhgd1AzvSuVjMCN1BaSdFGq83qvehQEQVAPHWwEmklZI2Bmw2pRlFb21FSn//A2Td2/8ekm71k7r7nqAWhyUO6Bn2uu/mMnNFf/9i34Dpq9w+ijTdbfEDp3TmApJH0RX5a6OR6HbSnMbJO8usreMkmDa+jQuXllgyAImkKX5JeUtAfwVzyHwRbAo3j4ig/hOYZvqUVfJbs5MUX8rNah82nxDrcgCIIeFCaG8xz9mxPw8f0e6fPxZrYznnN4WeD6WpRVMgLPA5MlbV7qZEoFeRG+I+6ntTQaBEHQFLpgJIC//f8Ff+s3klvfzB7HN6ydUIuySkZgVzxS542SNs2eSGnNLgW+DRyTydgVBEHQHgphI9qQY7jFvAcsTPOws/Cl+QVewsNT5Kbs7TCzOcDn8QBuN0raEEDS+4ArgK8DPzCzX9bU/SAIgmbRHSOBx4BB6fdpeL7hdSWtjedon16Lsor7BMxspqQv4BMNN0n6EvArYDfgu2b2u9r6HgRB0CS6Z4noxXj4fPCgdZOBF9LnRXh05txUjR1kZi+mpOy3Ag/ht3qkmV1US0NBEARNp/+7eqpiZudlfr8nLeD5Eh5VebKZPVyLvkpLRL9TOFiSxGU5PGH7+7Lnk0zNSPqJJMsuMU0TzmMkvSTpHUlTJG1VVG95SedImi3pLUnXpuQy1drbR9LDkuann8Pr6XcQBH0QAe/PeXQQZvaCmf3OzH5VqwGAyiOB35cp/1I6luoH8D+1NCxpO+AQPKdAlmNwv9ZI3Pf1U2CSpM0zeQXGAl8F9mNJYpkJkgYX5RXItjcUz0FwInAlsDdwmaTPRl6BIOgA2ptPoOWkTGTrUnqz2NN59VQyAk0LWCRpddyvdTCZ5aXpokYBp5vZFansQGAm7uf6bap7MHCQmU1KMgfgQet2BSZSmlHAzZmVTKcmN9co3JgEQdCf6ZI5AUlr4fsEhlP+GZ77TlQKG9HMSKDjgMvN7CZJ2T0GG+NZdm7I9OMdSbcC2wO/BQbj2z2yMs9LeiTJlDMCQ4FzisomAt/r5bUEQdBX6I6RwPl4etxz8d3CvQrc2fKkMpIOAT4MHFDi9MD085Wi8leA9TMyi+iZAPqVTP1SDCyjt1KdIAj6C10yEsANwA/MbHwjlFWaGL5J0hZ5FUlaJtXZrILM5sBpwLfNrJL1suKqJcp6qM8hk1uvpEMlTZM0bdast6uoDYKgT9Ad+wTm0vOFtm4qDZ52BlatQZdy1BkKDAAelLRQ0kLgc8AR6fc5Sa747Xwdllz0DPxrHFBBphQzquhdCjMbZ2ZDzGzI2muvVEFtEAR9gu6JHXQOcFiaQ+011dxBV0uqJbNYtTfxq/Edbln+ADyBjxAexx/Ww4C7ASStAOwI/DjJ3wMsYMmyVdLy0C2BSjGZb091zsiUDatSJwiC/kKXuIPM7ExJ6wEPS5oM/KuniJ2YV18lI3BBPR2kp69+MWb2KvBqtkzSW8BcM3swfR4LjJb0KG4UjsdDV1ySdLyWIpeeIWkmS5aI3o/vnCvovRG4y8yOS0VnA7dKOg64Cp9Z3wXYoc7rDIKgr9EFE8MplPSRwPJ4PoFiDF8Kn4tKq4MOqrl3jeEX+M6384APAHcCu2X2CAAcDSzE1/2viGc0G1G0R2BTPBIqAGY2VdK+wCnAScBTwDdjj0AQdAhdMhLAX3rvxg3Bo2a2oDfKWr46qJgUBzv72fBwqGMq1JkHHJWOcjKDSpRdDlxeV0eDIOj7dMFIAI8a+n0ze6ARytpuBIIgCBpCIWxE5/NPYL1GKesOuxkEQefTpnwCktZMscweTfHOnpf032lnb7W69cQz+z7wI0mf7X3vwwgEQdBJtGefwHr4ZtZjgK2B/YGdgP+tVCkTz+xiYJv08zJJ21Zp72o8n/Ctkl6X9FzRUVO0h3AHBUHQGbRpYjitbNw7U/SkpB/jQS1XM7PXy1QdRX3xzG6k+nL83JQ1ApKeBoab2X2NaiwIgqCp9B3fxmrAfKBSuIG64pmZ2che9ayISiOBQfg61IB3qTFjW23c/Znm6Qa49K7m6gd4sLnq7/mv5uof/MHm6m9mNMYCP2qy/j6/rK6PLBGVtAZwMvA7M1tYQbRPxDMLd1AQBJ1BIWxEPgZIykYvGGdm45ZSJ50CjK6iZxczm5KpszLwF+BFfI6gGrnimUkaAVxnZnPS75WVml2Yo22guhFomN8pCIKgqdQ2EphtZkOqyIwF/lhF5rnFzUurAH9NH7+c9jNVopZ4ZuOB7fAICeOr6DWgYUbgJEllw0BkGzWzA/M2GgRB0BQaOCdgZrOpEAYni6RVgetxU7S7mb2Zo1ot8cw2Bl7O/N4wqhmBbfDJjWrEiCEIgvbSpjmBZABuwCeD9wJWTm4h8Lho7ya5uuOZZZN8NTrhVzUjsJeZtWBWMQiCoAG0Z2J4MO6qAQ96mWUXYEr6vU/GM4uJ4SAIOoM2JZpPE8NVY/s3Kp6ZpPcDx+F7CTak5ypOM7Pcz/YwAkEQdAa1rQ7qz5yBRxC9HriSfC77soQRCIKgc+gD+wRawNeAEzM7jXtF2cGTmS3T6PkASWMkWdExI3NeSealFIhpiqStinQsn4I1zZb0lqRrU2axam3XE6gpCIL+QmFiuPNzDK+CryxqCO3YZP0YsG7m2Dpz7hjgh3iegE8DM4FJafa9wFhgH9wftiM+Iz9BUtmvtheBmoIg6E+0IYpoG/gLHqCuIbTDHbTQzGYUF6akyaOA083silR2IG4IvgX8VtLqwMHAQWY2KckcgO/K3xWPu1GKUdQXqCkIgv5CHwkb0QLOAS6U9B6+OW1usYCZPZ1XWTts4iaSXpT0jKRLJW2SyjfGd8/dUBA0s3eAW4HtU9FgfOonK/M88EhGphRDs3USE6vUCYKgP1GYGM5z9G9uBzbDsy/eCTxR4shNq0cCdwIjgUfx7dHHA1OT37+wfbpUQKX10+8DgUX03MVXLehSzYGaJB0KHAqw4YYrVVAdBEGfoHtGAt+hFaGkm4GZXZ/9LOkO4GngQOCOglhRtZIBleqQqUlvCiY1DmDIkLViR3QQ9Af6v7+/KmY2vpH62nrLUnyNh/ChTWGeoFJApRm4rR9QQaYUtQRqCoKgP9I9q4MaSlv3CUhaAdgCuBl4Bn9YDwPuzpzfEfhxqnIPsCDJXJJkNgC2pHTQpQK1BGoKgqC/0qEPeEn/A5xsZs+k3ythZnZwXt0tNQKSfokvb3oOfxM/AVgZuMDMTNJYYLSkR/EYHMcDb5Ie+Gb2mqTzgTMkzcTDqp4J3A9MzrRTd6CmIAj6KW0KG9EidsGfYwCfp7L7uyb3datHAhvgyZcHALPweYDtMlHxfgGsCJwHfACfSN7NzN7I6DgaWIiv+18Rz7c5wswWZWT6ZKCmIAiaSAeHjTCzjTO/D2qk7lZPDO9b5bzhy57GVJCZh28mO6qCzKASZTUHagqCoJ/Roe6gZhKxg4Ig6Ay6Z4koAJI+BHwIWKH4nJndlFdPGIEgCDqHzp0TWEzaYHsx8JlCUfppLFn6ntschhEIgqAz6J6RwO/xPAKj8I237/ZGWRiBIAg6h+4wAp8GRhZirPWWMAJ5+MdceP//Nk396wuaphqA1U5vrn6AE/+rufqLUyc1mrWavG3wxWZfAPBor1KLVOf15qrn4d4q6ODVQUW8QC/f/rN0gQctCIKuoLBPoPNDSZ8GHJtJZt8rYiQQBEHn0AXuIDO7SNIWwPQUf+1fPUXswLz6wggEQdAZdMnEsKSReKL5RcCn6Oka6tM7hoMgCJpH/3f15OEkPPzNwWb2am+VhREIgqAzWAZ4f7s70RLWAn7dCAMA3WI3gyDoDrpjYvjveOTkhhAjgSAIOoMumRMAfgD8WdK/gL/Rc2IYM3svr7IwAkEQdA79/y0/D4+knxeWOW/U8GxvuRGQtC5wOrAHsCqeXvJwM7slnRdwIp7ftxBO+kgzeyijY3ngl8B+LAknfYSZvVCl7X2Ak/FQ008Bo83sqoZeYBAE7aFNIwFJa+KTtcOAjfAc6BOA481sToV6I4E/lDi1YoqWXI6f0V9zDEtaA7gN92ntiecU2ASYmRE7BvghnpD+MeCnwCRJm2fyCowFvoobgUJimQmSBhflFci2PRTPQXAicCWwN3CZpM9GXoEg6BDa4w5aD1gff3Y9nH7/NZ47Zbcqdd/GX0oXU8UAYGZj6u1oKVo9EjgGeNnMRmTKnin8kkYBo4DTC3ExJB2IG4lvAb+VtDpwMHCQmU1KMgcAzwK7AhPLtD0KuNnMTk2fT5W0SyrfrxEXFwRBG2lT2AgzexB/qSzwpKQf4y+mq5lZpYgbZmYzKpxvOq32oO0F3CnpT5JmSrpX0vfSwx9gYzwh/A2FCmb2DnArsH0qGox/1VmZ53E/WUGmFEOzdRITq9QJgqC/0LcSza8GzMff9CuxoqRnJb0gaYKkT5YSknR0yrmeG0mfkrR7NblWG4FNgCPweYAv4jkzTweOTOcHpp/F4bxeyZwbiO+Um11BphQDq+hdCkmHSpomadqshnnfgiBoKvmXiA4o/H+n49BGdSG5vU8GfmdmCyuIPgZ8hyWu7XnAbZI2KyE7Ag8TcbqkT1Ro+wOSDpB0A+52X61af1vtDloGmJZJAP/PdMFHAudm5IofuypRVkwemdx6zWwcMA5gyDIKMxAEfZ3aJoZnm9mQiuqkU4DRVfTsYmZTMnVWBv4CvIi7v8tiZrcDt2fqTgXuxVPnfr9I/FPAAfh86TGSXgcewOdV5+OLaDbB5xfm4/OfHzWz6VX633Ij8DI9I8Y+gq97BSj4xgaSSRQPrMOSt/gZ+FddSFaflbm1Qtsz6PnWn9UbBEF/p7G+jbHAH6vIPFf4RdIqwF/Txy9Xm+AtxswWSZoG9BgJpPzrFwIXStoW2B3YFn/wr4AvkPk/4FTgmlp2E7faCNwGbF5U9hF8Uhd8kngGvtTqboDkB9sR+HGSuQdYkGQuSTIb4DvoplZo+/ZU54xM2bAqdYIg6C80OGyEmc2mp9u5JJJWBa7HxyO7m9mbtbaX5kY/DtxXpV934kvnG0KrjcBZwFRJo/HhyifxYc9PwK2dpLHAaEmPAo8DxwNvkh74ZvaapPOBMyTNZMkS0fuByYWGJN0I3JVxPZ0N3CrpODz40nBgF2CHpl5xEAStow2bxZIBuAH3v+8FrJyJ9T/XzN5Ncks9kySdCNwBPJHqfh83Aoe3sv8tNQJmdrekvfCkCCfgQ6kT8DW1BX6BbwA7jyWbxXbL7BEAOBpYiBuSwmaxEUV7BDYl41Iys6mS9gVOwTd2PAV8M/YIBEEHobyTAiW3E9XLYGC79PvjRed2Aaak35d6JgFr4POOA4HXgH8CO5nZXeUakrQO8CXgo8CaqXgu7ma/3sxmlqtbjpbvGDaz64DrKpw3YEw6ysnMwydPjqogM6hE2eXA5bk7GwRBP0Lkf6Q1zgikiWHlkBtU9Plo/IW2KpKWwf39R+NOr7fxmEHCjclKwLvJk3Jceo7mImIHBUHQIdRiBJqckLnxHIdvbD0VuKh41Y+kjfDVQ6OBN5JcLsIIBEHQIdRiBPodh+Bv+GNLnTSzZ4FTJL2Fr7YMIxAEQbchfLVkHl5rZkeawQfxOYNq/CPJ5qY7Aq8GQdAFFEYCeY5+xyPAvjnk9gMerUVxv7wbQRAEPelod9DPgMslbY5vYHsInxg2fJXQVsC3gc8BX6tFccfesYayDb7NrUmsvFLzdAOc/R/N1Q9w0nlNbuCIjzRV/V9UvLKvsazQgnnIvZqsf3yT9Y9tiJbOTC1mZldL2hP4OfB7SofAuQ/4ipldX4vuMAJBEHQIHT0SwMwmAhNThISt8BGA8H0CD6VoyjXTuXcsCIIuo7ONQIGUQbFiFsVa6Pw7FgRBl7AM+VcHdSaSBuDRQysF01yKMAJBEHQQXf9I+xzwZ2qYHOn6OxYEQafQHe6gRhN3LAiCDqFzjYCk/8kpulGtujvzjgVB0IV0rhEARuLbnKvlKVixVsUt3TEsabokK3Fcl85L0hhJL0l6R9IUSVsV6Vhe0jmSZkt6S9K1aclUtbb3kfSwpPnp5/BmXWcQBO2gEDYiz9HveA64zMw+VOkADqtVcavDRnwaWDdzfArf9PDndP4YPIfmUUl2JjApJW0oMBbYB98evSOejGGCVD6QuKSheO6Bi/GtXxcDl6U0bUEQdAQdHTZiGlAxJ3Ki5nzoLTUCZjbLzGYUDmAP4HX8gSw8VOrpZnaFmT0IHAisCnwLQNLqwMHAj81skpn9Aw+f+nFg1wpNjwJuNrNTzewRMzsVT/QwqgmXGQRBW+hoI3At+VJdPoyHmMhN2wLIpYf+wcAfzextYGM8w84NBRkzewdPHr99KhoMvK9I5nk8uFJBphRDs3USE6vUCYKgX9G5RsDMLjSz3XLIPWJmJ9Wiu513Yxj+4P99+jww/XylSO4VYP2MzCJ6WsRXMvVLMbCM3rJ1JB0KHAqw4YcqaA6CoI/Q0RPDTaOdoaQPAe42s3uLyksFRqrm58ojU5NeMxtnZkPMbMjaA6poDoKgD9C5I4Fm0hYjkJIlfxX4XaZ4RvpZ/Ha+Dkve4mfgO+GKH8tZmVLMqKI3CIJ+j4Dlcx79F0nvSVpU5lgoaY6kSZKquo+gfSOBkXiSz0szZc/gD+thhQJJK+ArgKamonuABUUyGwBbZmRKcXu2TmJYlTpBEPQrumYkcDLwPDALj/D9n8AF6fMLwEXA2sD1kr5cTVnL70aaEP534FIze6NQbmYmaSwwWtKjwOPA8fjmiEuSzGuSzgfOkDQTmAOcCdwPTM60cSNwl5kdl4rOBm6VdBxwFTAc2AXYoZnXGgRBK+maOYF5+Evzl8xsXqFQ0orA9bgx+BRwHfATYEIlZe0YCewMbMbSrqACv8Af6ufh62LXBXbLGgvgaOBKfN3/bbiR+IqZLcrIbJrqAmBmU/HUbAfiBmME8E0zu7MxlxQEQd+gK0YChwFnZQ0ALF5NeRZwmJm9hy+6+Xg1ZS2/G2Z2M26yS50zYEw6ytWfh28mO6qCzKASZZcDl9fU2SAI+hFdMxJYB18qX4r3A2ul32dT5lmbJRLNB0HQIXTNnMA0YIykdbOFktYDTkznwYPJvVRNWb+/G0EQBE7XJJX5AXAj8Iyk2/HwOuvgm2LfBvZPch8mzadWIkYCQRB0EO0ZCUj6naSnUuDLWZKukbRljno1B7ZM4XI+jM+fvgdsnX7+F7BZYe+Vmf3UzE6spi9GAkEQdAhtnROYBlyIL91cE5/XnCxpkJktKFUhE9jyRHyxy954HLXPVlu0YmZz8JU/vSaMQBAEHUL7jICZ/Tbzcbqk44H7gE2Ax8pUG0UKbJk+nyppl1S+X7U2Ja2Ju4DWxCeB7zSzubX2PYxAHhYBNd/a/Cx7XvN0A6x9ZHP1A0siQDWLEx5vqvrPN1U7bNhk/eCLwpvJouoibaZvrA6StDJwEJ4DYHoF0aHAOUVlE4Hv5WjjFDzsfnb783xJvzSzE2rpb/vvWBAEQUMoJJXJxQBJ0zKfx5nZuF61Lh2B73VaGX/7/4KZza9QpebAlqmdUbgr6HzgjywJi7M/8BNJs8zsV3n7HUYgCIIOoaaRwGwzq5ikJb1tj66iZxczm5J+vxiYhG9U/RFL/PtvV6hfT8DMw4CzzezoTNljwC2S3gSOAMIIBEHQbQiPL9kwxuJv2pV4rvCLmb2G5wF+QtIdwL/wLIgXlalbb2DLQZT3/l0HHF6l/lKEEQiCoENo7JyAmc0mXzavcp0phDUtRyGw5RmZsjyBLecAHyMTLy3DVul8bsIIBEHQIbRnYljSh/E3/sl48LYNgP/AIyVPyMg1KrDlVcDJkubggTgXSFoO+DqeWvKCWvofm8WCIOgg2rJZbD4eGPN64El87f8bwNCUS71AowJbHgfciz/s35b0CvAOPidxHzXuH4iRQBAEHUJ7wkakPOdfyiE3qERZzYEtzewNSTsBe+L5VtbEF7HfAlyfAnHmpqUjAUlHSrpf0uvpuF3Snpnz4yVZ0XFHkY7lJZ0jabaktyRdmxLLVGu75u3ZQRD0J7omgBzmTDCzY83skPTzr7UaAGi9O+gF4Fg84cEQ4CbgaknZmNeT8SFT4dijSMdY3P+2H24FVwMmSCq7LCCzPftiYJv08zJJ2/b6ioIg6CN0jxFoJC29G2Z2TVHRaEmH4zvn7k9l84v8aIuRtDpwMHCQmU1KZQcAzwK74rvtSjGKXmzPDoKgv9CZD3hJ71F9/0ABM7PcN6Jtdyy9uX8dWIWll0TtkFJHvor7uEab2cx0bjCeTOGGgrCZPS/pEWB7yhuBurdnB0HQX+gbYSOaxM/IbwRqoh05hrfG18eugKeGHG5mD6TTf8Oj6T2Db4g4BbhJ0uC0/XogHsKkeO1uta3WNW/PlnQocCjAhutXvawgCNpO5xoBMxvTLN3tuGOP4X75NXDf/gWSdjazB83s0ozcA5LuwV09e+LGoRx5tlrXtD07xREZBzDkE2qKBQ6CoJF0TVKZhtLyfQJm9q6ZPWlm09KmiXvx5PGlZF/CJ5M3S0Uz8H3hA4pEq221rnd7dhAE/YqYGK6VvrBZbBnKbK2WNABYH3g5Fd0DLMC3VhdkNgC2pPJW68L27Cx5tmcHQdBviNVB9dDSuyHpdDzA0fPAqsC38J12e0paBc/GcwX+0B8E/BzPn3kVeIAmSecDZ6TJ4zl4irX7ycTRaOD27CAI+g2dOyfQTFp9xwbiUfkG4tH27ge+ZGYTJa2I58ocgc8XvAzcDHzDzN7I6DgaWIiv+18RT7g8wsyyOS82xQ0N4NuzJe2LTzSfBDxFvu3ZQRD0GxoeRbQraPU+gZEVzr0DfDGHjnnAUekoJzOoRFnN27ODIOhP1JRUJkjE2CkIgg4h3EH1EHcsCIIOIYxAPcQdC4KgQwgjUA9xx4Ig6BDCCNRD3LEgCDqIeKTViuoIP911SJqFh6/IywDqz03aF/S3oo3Q39n662ljIzNbu97GJP2NntEEyjHbzHavt61OIoxAE5A0zcyG9Ff9rWgj9He2/la1EfSevhA2IgiCIGgTYQSCIAi6mDACzWFcP9ffijZCf2frb1UbQS+JOYEgCIIuJkYCQRAEXUwYgSAIgi4mjEAQBEEXE0agRiTtJOlaSS9KMkkjc9TZWtItkt5J9X4qSSXkjpN0t6TXJc2S9BdJH2uU/iR7pKT7UxuvS7pd0p4N1F/zNUgalO5l8dFjM0+t978W3Um+pvtTq/4S9X+S5M+tIpf7O6hVf433f0wJuRnN6HvQGmKPde2sAjwIXJiOikhaDZgE3Ap8GtgcGA+8BfxXkfjOwK+Bu/FAKD8DJkv6qJnNbYB+8JzNxwJP4C8BBwJXSxpsZvc3QH/N15Bhd+C+zOdS8jXd/xp1Q433pw79i5G0HXAInlypklyt30FN+jPkvYbH8O+5wKIycnX3PWghZhZHnQfwJjCyiszhwOvAipmy44EXSauzKtRdBf8H+0oz9Gfk5wLfbYb+nNcwCDBgSBPuf126a7g/9fZ9dTzD3eeBKcC5jfyOa9Sf+xrwFLAP1nCdvf77jKO5R7iDms9Q4P/MM6cVmAish//zVWJV/G30X83QL2lZedrNVYCpjdafyHMNBa6UNFPSbZK+lkO+FmrWnfP+1Kt/HHC5md2UQ7ae76AW/QXyXsMmya3zjKRLJW3S4L4HLSSMQPMZCLxSVPZK5lwlzgbuBW5vpP7ko30TmA/8BhhuZg80Sn8Rea7hTeBHwDeAPfC80X+StH8O/dWoWXeN96ce/YcAHwZOyHkNNX0Hdeiv5RruBEYCX8JdTQOBqZLWakTfg9YTcwKtoXhHnsqULxGQzgR2AHYws7I+1zr1PwZsA6wB7ANcIGlnM3uwQfpdKOc1mNlslvYPT5M0ADgG+GOlNqpRp+7c96dW/ZI2B04DdjSzd2u5lGJVpcrr0V/LNZjZ9UXt3QE8jc+dnNmbvgftIUYCzWcGPd941kk/i9+QAJB0FrAf8Hkze7rR+s3sXTN70symmdlx+Jv60Y3SDzVfQynuBDaro16vddd4f2rVPxQPd/ygpIWSFgKfA45In5cvUaeW76Ae/bVew2LM7E3goQqydf39BK0jjEDzuR3YUdIKmbJhwEvA9GJhSWcD38Ifno82Wn8ZlgHKPRxq1l/HNZRiG+DlOus2Wnel+1Or/quBrZNM4ZgGXJp+L/X2Xst3UI/+UmxDjnuU+rRFBdlG/H0GzaTdM9P97cAnCbdJx9vAT9PvG6bzPwduzMivjr8NXQp8DNgbXy3xwxK6z0vnPo+/PRWOVTIydetP8qcDO+KTclsnfe8BX2qQ/nqu4UDcaGyJLyH8Ef6wOroB9z+37jrvT036y7Q5hczqnd5+B3Xor+X+/xIfWWwMbAtMSH3ZqBl9j6P5R9s70N8OfH20lTjGp/PjgelFdbbG10nPw9+YTqTE8rgyeg0Yk5GpW3+m/rP4pOdMYDLwxQbqr/ka0kPoYXzt+Ov4m+v+jbj/teiu5/7Uqr9Mm1NY+iHdq++gVv013v9L8bf4d/FlnlcAH21W3+No/hFRRIMgCLqYmBMIgiDoYsIIBEEQdDFhBIIgCLqYMAJBEARdTBiBIAiCLiaMQBAEQRcTRiAIgqCLCSMQtBxJQyX9WdJLkt6VNEfSJEkHSlq2SW2Oz2TCmpIpH5kp/0iJejtnzu+aKT8+U/5CM/ocBK0gjEDQUiSNAm4D1sQzeO0KfAd4HPhv4MtNbH4GHmDtiBLn3gAOKFE+Ip0r5g9J118b1rsgaAMRSjpoGZJ2wsMNn2tm3y86fU0KPb1yE7sw38zuKHPuSmB/ST+1tI1e0op4KOkr8Bj6izGzF4EXJc1qYn+DoOnESCBoJf+Bp2o8ptRJM3vKKufxbSYXARvh+Q8KDAeWxY1AEHQkYQSClpB8/TsDN5jZvDZ3pxTP4kHOsi6hEcBVeOatIOhIwggErWIAsCL+sO2rXAh8XdIKktbF5ysubHOfgqCphBEI+iySVpb0uqSLi8o3lfR3SY9L+qekIQ1q8jI8ecxXgG/jE8k3Nkh3EPRJwggErWIO8A7ud8/LN4H7gD0lfSBT/hs8f8BH8PmFiyWplIJaMLM38MxcB+CuoIvN7L3e6g2CvkwYgaAlmNlCPLnJsBry3B6MJ0CfiL+ZI2ltYDvggqR3UpId3KCuXgjsiSdCCVdQ0PGEEQhayenAWsAZpU5K2ljSx9PvWwKb4ukLz8cNAsCGwEtmtiBT9dlU3ggmAX8GfmNmDzVIZxD0WWKfQNAyzOxWSf8PODM95McDzwEfAL4A/Due6/Z+/KF/kZktlDQZWFNSubf9XruCMn1cBOzXKH1B0NeJkUDQUsxsLL4W/1U8aflNuDHYEvgu8BdJ78P98t+SNB14Gk9YfjBuNNZLMgU2SuVBENRIjASClmNmU4Gp5c5LGg48Z2afzpRtDPwD+CFwF76D93eShuEjgXvytC1pOe+CLUp9GY8boUr9nULRaCNNRC9bXB4E/Y0YCQR9kYPxHbyLMbNngAeBrwOHAQdJehyfX/h2IdRDFTYCFtCYZZ+jk64RDdAVBG1D+f53gqB/I2kQvmEN4A0ze6yX+tYF1k8f321juIsg6BVhBIIgCLqYcAcFQRB0MWEEgiAIupgwAkEQBF1MGIEgCIIuJoxAEARBFxNGIAiCoIsJIxAEQdDFhBEIgiDoYv4/brLV+0T6xywAAAAASUVORK5CYII=\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "fixed = {}\n", "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" diff --git a/pyomo/contrib/doe/reactor_model_multipleversions.py b/pyomo/contrib/doe/reactor_model_multipleversions.py new file mode 100644 index 00000000000..df5b4e3f766 --- /dev/null +++ b/pyomo/contrib/doe/reactor_model_multipleversions.py @@ -0,0 +1,572 @@ +def create_model_dae(scena, const=False, controls={0: 300, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}, + t_range=[0.0,1], CA_init=3, C_init=0.3, model_form='dae-index-1'): + ''' + This is an example user model provided to DoE library. + It is a dynamic problem solved by Pyomo.DAE. + + Arguments: + scena: a dictionary of scenarios, achieved from scenario_generator() + + Controlled time-dependent design variable: + - controls: a Dict, keys are control timepoints, values are the controlled T at that timepoint + + t_range: time range + + Time-independent design variable: + - CA_init: CA0 value + + C_init: An initial value for C + model_form: choose from 'ode-index-0' and 'dae-index-1' + + Return: + m: a Pyomo.DAE model + ''' + # parameters initialization, results from parameter estimation + theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + # concentration initialization + y_init = {'CA': CA_init, 'CB':0.0, 'CC':0.0} + + para_list = ['A1', 'A2', 'E1', 'E2'] + + ### Add variables + m = ConcreteModel() + + m.CA_init = CA_init + m.para_list = para_list + t_control = list(controls.keys()) + + m.scena_all = scena + m.scena = Set(initialize=scena['scena-name']) + + if model_form == 'ode-index-0': + m.index1 = False + elif model_form == 'dae-index-1': + m.index1 = True + else: + raise ValueError('Please choose from "ode-index-0" and "dae-index-1"') + + # timepoints + m.t = ContinuousSet(bounds=(t_range[0], t_range[1])) + + # Control time points + m.t_con = Set(initialize=t_control) + + m.t0 = Set(initialize=[0]) + + # time-independent design variable + m.CA0 = Var(m.t0, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L + + # time-dependent design variable, initialized with the first control value + def T_initial(m,t): + if t in m.t_con: + return controls[t] + else: + # count how many control points are before the current t; + # locate the nearest neighbouring control point before this t + j = -1 + for t_con in m.t_con: + if t>t_con: + j+=1 + neighbour_t = t_control[j] + return controls[neighbour_t] + + m.T = Var(m.t, initialize =T_initial, bounds=(300, 700), within=NonNegativeReals) + + m.R = 8.31446261815324 # J / K / mole + + # Define parameters + #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + m.A1 = Var(m.scena, initialize = m.scena_all['A1']) + m.A2 = Var(m.scena, initialize = m.scena_all['A2']) + m.E1 = Var(m.scena, initialize = m.scena_all['E1']) + m.E2 = Var(m.scena, initialize = m.scena_all['E2']) + + # Concentration variables under perturbation + m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CB = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CC = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + + # time derivative of C + m.dCAdt = DerivativeVar(m.CA, wrt=m.t) + m.dCBdt = DerivativeVar(m.CB, wrt=m.t) + m.dCCdt = DerivativeVar(m.CC, wrt=m.t) + + # kinetic parameters + def kp1_init(m,s,t): + return m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t])) + def kp2_init(m,s,t): + return m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t])) + + m.kp1 = Var(m.scena, m.t, initialize=kp1_init) + m.kp2 = Var(m.scena, m.t, initialize=kp2_init) + + + def T_control(m,t): + ''' + T at interval timepoint equal to the T of the control time point at the beginning of this interval + Count how many control points are before the current t; + locate the nearest neighbouring control point before this t + ''' + if t in m.t_con: + return Constraint.Skip + else: + j = -1 + for t_con in m.t_con: + if t>t_con: + j+=1 + neighbour_t = t_control[j] + return m.T[t] == m.T[neighbour_t] + + + def cal_kp1(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: scenario number + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) + + def cal_kp2(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: m.pert, upper or normal or lower perturbation + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) + + def dCAdt_control(m,z,t): + ''' + Calculate CA in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCAdt[z,t] == -m.kp1[z,t]*m.CA[z,t] + + def dCBdt_control(m,z,t): + ''' + Calculate CB in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCBdt[z,t] == m.kp1[z,t]*m.CA[z,t] - m.kp2[z,t]*m.CB[z,t] + + def dCCdt_control(m,z,t): + ''' + Calculate CC in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCCdt[z,t] == m.kp2[z,t]*m.CB[z,t] + + def alge(m,z,t): + ''' + The algebraic equation for mole balance + z: m.pert + t: time + ''' + return m.CA[z,t] + m.CB[z,t] + m.CC[z,t] == m.CA0[0] + + def obj_rule(m): + return 0 + + m.Obj = Objective(rule=obj_rule, sense=maximize) + + + # Control time + m.T_rule = Constraint(m.t, rule=T_control) + + # calculating C, Jacobian, FIM + m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) + m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) + m.dCAdt_rule = Constraint(m.scena, m.t, rule=dCAdt_control) + m.dCBdt_rule = Constraint(m.scena, m.t, rule=dCBdt_control) + + # switch between DAE and ODE model + if m.index1: + m.alge_rule = Constraint(m.scena, m.t, rule=alge) + else: + m.dCCdt_rule = Constraint(m.scena, m.t, rule=dCCdt_control) + + # B.C. + for z in m.scena: + # only ODE model needs this BC + if not m.index1: + m.CA[z,0.0].fix(value(m.CA0[0])) + m.CB[z,0.0].fix(0.0) + m.CC[z,0.0].fix(0.0) + + return m + +def create_model_dae_const(scena, const=True, controls={0: 300}, t_range=[0.0,1], CA_init=3, C_init=0.3, model_form='dae-index-1'): + ''' + This is an example user model provided to DoE library. + It is a dynamic problem solved by Pyomo.DAE. + + Arguments: + scena: a dictionary of scenarios, achieved from scenario_generator() + + Controlled time-dependent design variable: + - controls: a Dict, keys are control timepoints, values are the controlled T at that timepoint + + t_range: time range + + Time-independent design variable: + - CA_init: CA0 value + + C_init: An initial value for C + model_form: choose from 'ode-index-0' and 'dae-index-1' + + Return: + m: a Pyomo.DAE model + ''' + # parameters initialization, results from parameter estimation + theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + # concentration initialization + y_init = {'CA': CA_init, 'CB':0.0, 'CC':0.0} + + para_list = ['A1', 'A2', 'E1', 'E2'] + + ### Add variables + m = ConcreteModel() + + m.CA_init = CA_init + m.para_list = para_list + t_control = list(controls.keys()) + + m.scena_all = scena + m.scena = Set(initialize=scena['scena-name']) + + if model_form == 'ode-index-0': + m.index1 = False + elif model_form == 'dae-index-1': + m.index1 = True + else: + raise ValueError('Please choose from "ode-index-0" and "dae-index-1"') + + # timepoints + m.t = ContinuousSet(bounds=(t_range[0], t_range[1])) + + # Control time points + m.t_con = Set(initialize=t_control) + + m.t0 = Set(initialize=[0]) + + # time-independent design variable + m.CA0 = Var(m.t0, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L + + # time-dependent design variable, initialized with the first control value + def T_initial(m,t): + if t in m.t_con: + return controls[t] + else: + # count how many control points are before the current t; + # locate the nearest neighbouring control point before this t + j = -1 + for t_con in m.t_con: + if t>t_con: + j+=1 + neighbour_t = t_control[j] + return controls[neighbour_t] + + m.T = Var(m.t, initialize =T_initial, bounds=(300, 700), within=NonNegativeReals) + + m.R = 8.31446261815324 # J / K / mole + + # Define parameters + #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + m.A1 = Var(m.scena, initialize = m.scena_all['A1']) + m.A2 = Var(m.scena, initialize = m.scena_all['A2']) + m.E1 = Var(m.scena, initialize = m.scena_all['E1']) + m.E2 = Var(m.scena, initialize = m.scena_all['E2']) + + # Concentration variables under perturbation + m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CB = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CC = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + + # time derivative of C + m.dCAdt = DerivativeVar(m.CA, wrt=m.t) + m.dCBdt = DerivativeVar(m.CB, wrt=m.t) + m.dCCdt = DerivativeVar(m.CC, wrt=m.t) + + # kinetic parameters + def kp1_init(m,s,t): + return m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t])) + def kp2_init(m,s,t): + return m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t])) + + m.kp1 = Var(m.scena, m.t, initialize=kp1_init) + m.kp2 = Var(m.scena, m.t, initialize=kp2_init) + + + def T_control(m,t): + ''' + T at interval timepoint equal to the T of the control time point at the beginning of this interval + Count how many control points are before the current t; + locate the nearest neighbouring control point before this t + ''' + if t in m.t_con: + return Constraint.Skip + else: + j = -1 + for t_con in m.t_con: + if t>t_con: + j+=1 + neighbour_t = t_control[j] + return m.T[t] == m.T[neighbour_t] + + + def cal_kp1(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: scenario number + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) + + def cal_kp2(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: m.pert, upper or normal or lower perturbation + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) + + def dCAdt_control(m,z,t): + ''' + Calculate CA in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCAdt[z,t] == -m.kp1[z,t]*m.CA[z,t] + + def dCBdt_control(m,z,t): + ''' + Calculate CB in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCBdt[z,t] == m.kp1[z,t]*m.CA[z,t] - m.kp2[z,t]*m.CB[z,t] + + def dCCdt_control(m,z,t): + ''' + Calculate CC in Jacobian matrix analytically + z: scenario No. + t: timepoints + ''' + return m.dCCdt[z,t] == m.kp2[z,t]*m.CB[z,t] + + def alge(m,z,t): + ''' + The algebraic equation for mole balance + z: m.pert + t: time + ''' + return m.CA[z,t] + m.CB[z,t] + m.CC[z,t] == m.CA0[0] + + def obj_rule(m): + return 0 + + m.Obj = Objective(rule=obj_rule, sense=maximize) + + + # Control time + m.T_rule = Constraint(m.t, rule=T_control) + + # calculating C, Jacobian, FIM + m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) + m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) + m.dCAdt_rule = Constraint(m.scena, m.t, rule=dCAdt_control) + m.dCBdt_rule = Constraint(m.scena, m.t, rule=dCBdt_control) + + # switch between DAE and ODE model + if m.index1: + m.alge_rule = Constraint(m.scena, m.t, rule=alge) + else: + m.dCCdt_rule = Constraint(m.scena, m.t, rule=dCCdt_control) + + # B.C. + for z in m.scena: + # only ODE model needs this BC + if not m.index1: + m.CA[z,0.0].fix(value(m.CA0[0])) + m.CB[z,0.0].fix(0.0) + m.CC[z,0.0].fix(0.0) + + return m + + +time_an = list(np.linspace(0,1,97)) + +def create_model_alge(scena, CA_init=5, T_init=300, C_init=1): + ''' + This is an example user model provided to DoE library. + It is a problem using algebraic equations. + + Arguments: + scena: a dictionary of scenarios, achieved from scenario_generator() + + Time-independent design variable: + - CA_init: CA0 value + - T_init: T value + + C_init: initial value for C + + Return: + m: a Pyomo.DAE model + ''' + # parameters initialization, results from parameter estimation + theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + # concentration initialization + y_init = {'CA': value(CA_init), 'CB':0.0, 'CC':0.0} + + para_list = ['A1', 'A2', 'E1', 'E2'] + + ### Add variables + m = ConcreteModel() + + m.CA_init = CA_init + m.para_list = para_list + + m.scena_all = scena + m.scena = Set(initialize=scena['scena-name']) + + # timepoints + + #m.t = Set(initialize=[0,0.125,0.25,0.375,0.5,0.625,0.75,0.875,1]) + m.t = Set(initialize=time_an) + + m.t_con = Set(initialize=[0]) + + # time-independent design variable + m.CA0 = Var(m.t_con, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L + + m.T = Var(m.t, initialize = T_init, bounds=(300, 700), within=NonNegativeReals) + + m.R = 8.31446261815324 # J / K / mole + + # Define parameters + #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + m.A1 = Var(m.scena, initialize = m.scena_all['A1']) + m.A2 = Var(m.scena, initialize = m.scena_all['A2']) + m.E1 = Var(m.scena, initialize = m.scena_all['E1']) + m.E2 = Var(m.scena, initialize = m.scena_all['E2']) + + # Concentration variables under perturbation + m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CB = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + m.CC = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) + + + # kinetic parameters + def kp1_init(m,s,t): + return m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t])) + + def kp2_init(m,s,t): + return m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t])) + + m.kp1 = Var(m.scena, m.t, initialize=kp1_init) + m.kp2 = Var(m.scena, m.t, initialize=kp2_init) + + def cal_kp1(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: scenario number + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) + + def cal_kp2(m,z,t): + ''' + Create the perturbation parameter sets + m: model + z: m.pert, upper or normal or lower perturbation + t: time + ''' + # LHS: 1/h + # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) + return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) + + # Calculate model response variables + def CA_conc(m,z,t): + ''' + Calculate the model predictions + Argument: + z: scenario + t: timepoints + ''' + return m.CA[z,t] == m.CA0[0]*exp(-m.kp1[z,t]*t) + + def CB_conc(m,z,t): + ''' + Calculate the model predictions + Argument: + z: scenario + t: timepoints + ''' + return m.CB[z,t] == m.kp1[z,t]*m.CA0[0]/(m.kp2[z,t]-m.kp1[z,t]) * (exp(-m.kp1[z,t]*t) - exp(-m.kp2[z,t]*t)) + + def CC_conc(m,z,t): + ''' + Calculate the model predictions + Argument: + z: scenario + t: timepoints + ''' + return m.CC[z,t] == m.CA0[0] - m.CA[z,t] - m.CB[z,t] + + def CA0_const(m,t): + if t==0: + return Constraint.Skip + else: + return m.CA0[t] == m.CA0[0] + + def T_const(m,t): + if t==0: + return Constraint.Skip + else: + return m.T[t] == m.T[0] + + def obj_rule(m): + return 0 + + m.Obj = Objective(rule=obj_rule, sense=maximize) + + # calculating C, Jacobian, FIM + m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) + m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) + m.dCAdt_rule = Constraint(m.scena, m.t, rule=CA_conc) + m.dCBdt_rule = Constraint(m.scena, m.t, rule=CB_conc) + m.dCCdt_rule = Constraint(m.scena, m.t, rule=CC_conc) + #m.CA0_keep = Constraint(m.t, rule=CA0_const) + m.T_keep = Constraint(m.t, rule=T_const) + + + return m diff --git a/pyomo/contrib/doe/reactor_models.py b/pyomo/contrib/doe/reactor_models.py index aa77819be1f..714701bb0af 100644 --- a/pyomo/contrib/doe/reactor_models.py +++ b/pyomo/contrib/doe/reactor_models.py @@ -44,10 +44,6 @@ def create_model_overall(scena, options,controls={0: 300, 0.125: 300, 0.25: 300, if_constant = options[1] if_kaug = options[2] - print('Pyomo.DAE option:', options[0]) - print('Constant T option:', options[1]) - print('K_aug formulation:', options[2]) - ### Add variables m = ConcreteModel() @@ -264,575 +260,3 @@ def obj_rule(m): return m -def create_model_dae(scena, const=False, controls={0: 300, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}, - t_range=[0.0,1], CA_init=3, C_init=0.3, model_form='dae-index-1'): - ''' - This is an example user model provided to DoE library. - It is a dynamic problem solved by Pyomo.DAE. - - Arguments: - scena: a dictionary of scenarios, achieved from scenario_generator() - - Controlled time-dependent design variable: - - controls: a Dict, keys are control timepoints, values are the controlled T at that timepoint - - t_range: time range - - Time-independent design variable: - - CA_init: CA0 value - - C_init: An initial value for C - model_form: choose from 'ode-index-0' and 'dae-index-1' - - Return: - m: a Pyomo.DAE model - ''' - # parameters initialization, results from parameter estimation - theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} - # concentration initialization - y_init = {'CA': CA_init, 'CB':0.0, 'CC':0.0} - - para_list = ['A1', 'A2', 'E1', 'E2'] - - ### Add variables - m = ConcreteModel() - - m.CA_init = CA_init - m.para_list = para_list - t_control = list(controls.keys()) - - m.scena_all = scena - m.scena = Set(initialize=scena['scena-name']) - - if model_form == 'ode-index-0': - m.index1 = False - elif model_form == 'dae-index-1': - m.index1 = True - else: - raise ValueError('Please choose from "ode-index-0" and "dae-index-1"') - - # timepoints - m.t = ContinuousSet(bounds=(t_range[0], t_range[1])) - - # Control time points - m.t_con = Set(initialize=t_control) - - m.t0 = Set(initialize=[0]) - - # time-independent design variable - m.CA0 = Var(m.t0, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L - - # time-dependent design variable, initialized with the first control value - def T_initial(m,t): - if t in m.t_con: - return controls[t] - else: - # count how many control points are before the current t; - # locate the nearest neighbouring control point before this t - j = -1 - for t_con in m.t_con: - if t>t_con: - j+=1 - neighbour_t = t_control[j] - return controls[neighbour_t] - - m.T = Var(m.t, initialize =T_initial, bounds=(300, 700), within=NonNegativeReals) - - m.R = 8.31446261815324 # J / K / mole - - # Define parameters - #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) - #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) - #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) - #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) - - m.A1 = Var(m.scena, initialize = m.scena_all['A1']) - m.A2 = Var(m.scena, initialize = m.scena_all['A2']) - m.E1 = Var(m.scena, initialize = m.scena_all['E1']) - m.E2 = Var(m.scena, initialize = m.scena_all['E2']) - - # Concentration variables under perturbation - m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) - m.CB = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) - m.CC = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) - - # time derivative of C - m.dCAdt = DerivativeVar(m.CA, wrt=m.t) - m.dCBdt = DerivativeVar(m.CB, wrt=m.t) - m.dCCdt = DerivativeVar(m.CC, wrt=m.t) - - # kinetic parameters - def kp1_init(m,s,t): - return m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t])) - def kp2_init(m,s,t): - return m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t])) - - m.kp1 = Var(m.scena, m.t, initialize=kp1_init) - m.kp2 = Var(m.scena, m.t, initialize=kp2_init) - - - def T_control(m,t): - ''' - T at interval timepoint equal to the T of the control time point at the beginning of this interval - Count how many control points are before the current t; - locate the nearest neighbouring control point before this t - ''' - if t in m.t_con: - return Constraint.Skip - else: - j = -1 - for t_con in m.t_con: - if t>t_con: - j+=1 - neighbour_t = t_control[j] - return m.T[t] == m.T[neighbour_t] - - - def cal_kp1(m,z,t): - ''' - Create the perturbation parameter sets - m: model - z: scenario number - t: time - ''' - # LHS: 1/h - # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) - return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) - - def cal_kp2(m,z,t): - ''' - Create the perturbation parameter sets - m: model - z: m.pert, upper or normal or lower perturbation - t: time - ''' - # LHS: 1/h - # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) - return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) - - def dCAdt_control(m,z,t): - ''' - Calculate CA in Jacobian matrix analytically - z: scenario No. - t: timepoints - ''' - return m.dCAdt[z,t] == -m.kp1[z,t]*m.CA[z,t] - - def dCBdt_control(m,z,t): - ''' - Calculate CB in Jacobian matrix analytically - z: scenario No. - t: timepoints - ''' - return m.dCBdt[z,t] == m.kp1[z,t]*m.CA[z,t] - m.kp2[z,t]*m.CB[z,t] - - def dCCdt_control(m,z,t): - ''' - Calculate CC in Jacobian matrix analytically - z: scenario No. - t: timepoints - ''' - return m.dCCdt[z,t] == m.kp2[z,t]*m.CB[z,t] - - def alge(m,z,t): - ''' - The algebraic equation for mole balance - z: m.pert - t: time - ''' - return m.CA[z,t] + m.CB[z,t] + m.CC[z,t] == m.CA0[0] - - def obj_rule(m): - return 0 - - m.Obj = Objective(rule=obj_rule, sense=maximize) - - - # Control time - m.T_rule = Constraint(m.t, rule=T_control) - - # calculating C, Jacobian, FIM - m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) - m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) - m.dCAdt_rule = Constraint(m.scena, m.t, rule=dCAdt_control) - m.dCBdt_rule = Constraint(m.scena, m.t, rule=dCBdt_control) - - # switch between DAE and ODE model - if m.index1: - m.alge_rule = Constraint(m.scena, m.t, rule=alge) - else: - m.dCCdt_rule = Constraint(m.scena, m.t, rule=dCCdt_control) - - # B.C. - for z in m.scena: - # only ODE model needs this BC - if not m.index1: - m.CA[z,0.0].fix(value(m.CA0[0])) - m.CB[z,0.0].fix(0.0) - m.CC[z,0.0].fix(0.0) - - return m - -def create_model_dae_const(scena, const=True, controls={0: 300}, t_range=[0.0,1], CA_init=3, C_init=0.3, model_form='dae-index-1'): - ''' - This is an example user model provided to DoE library. - It is a dynamic problem solved by Pyomo.DAE. - - Arguments: - scena: a dictionary of scenarios, achieved from scenario_generator() - - Controlled time-dependent design variable: - - controls: a Dict, keys are control timepoints, values are the controlled T at that timepoint - - t_range: time range - - Time-independent design variable: - - CA_init: CA0 value - - C_init: An initial value for C - model_form: choose from 'ode-index-0' and 'dae-index-1' - - Return: - m: a Pyomo.DAE model - ''' - # parameters initialization, results from parameter estimation - theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} - # concentration initialization - y_init = {'CA': CA_init, 'CB':0.0, 'CC':0.0} - - para_list = ['A1', 'A2', 'E1', 'E2'] - - ### Add variables - m = ConcreteModel() - - m.CA_init = CA_init - m.para_list = para_list - t_control = list(controls.keys()) - - m.scena_all = scena - m.scena = Set(initialize=scena['scena-name']) - - if model_form == 'ode-index-0': - m.index1 = False - elif model_form == 'dae-index-1': - m.index1 = True - else: - raise ValueError('Please choose from "ode-index-0" and "dae-index-1"') - - # timepoints - m.t = ContinuousSet(bounds=(t_range[0], t_range[1])) - - # Control time points - m.t_con = Set(initialize=t_control) - - m.t0 = Set(initialize=[0]) - - # time-independent design variable - m.CA0 = Var(m.t0, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L - - # time-dependent design variable, initialized with the first control value - def T_initial(m,t): - if t in m.t_con: - return controls[t] - else: - # count how many control points are before the current t; - # locate the nearest neighbouring control point before this t - j = -1 - for t_con in m.t_con: - if t>t_con: - j+=1 - neighbour_t = t_control[j] - return controls[neighbour_t] - - m.T = Var(m.t, initialize =T_initial, bounds=(300, 700), within=NonNegativeReals) - - m.R = 8.31446261815324 # J / K / mole - - # Define parameters - #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) - #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) - #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) - #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) - - m.A1 = Var(m.scena, initialize = m.scena_all['A1']) - m.A2 = Var(m.scena, initialize = m.scena_all['A2']) - m.E1 = Var(m.scena, initialize = m.scena_all['E1']) - m.E2 = Var(m.scena, initialize = m.scena_all['E2']) - - # Concentration variables under perturbation - m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) - m.CB = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) - m.CC = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) - - # time derivative of C - m.dCAdt = DerivativeVar(m.CA, wrt=m.t) - m.dCBdt = DerivativeVar(m.CB, wrt=m.t) - m.dCCdt = DerivativeVar(m.CC, wrt=m.t) - - # kinetic parameters - def kp1_init(m,s,t): - return m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t])) - def kp2_init(m,s,t): - return m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t])) - - m.kp1 = Var(m.scena, m.t, initialize=kp1_init) - m.kp2 = Var(m.scena, m.t, initialize=kp2_init) - - - def T_control(m,t): - ''' - T at interval timepoint equal to the T of the control time point at the beginning of this interval - Count how many control points are before the current t; - locate the nearest neighbouring control point before this t - ''' - if t in m.t_con: - return Constraint.Skip - else: - j = -1 - for t_con in m.t_con: - if t>t_con: - j+=1 - neighbour_t = t_control[j] - return m.T[t] == m.T[neighbour_t] - - - def cal_kp1(m,z,t): - ''' - Create the perturbation parameter sets - m: model - z: scenario number - t: time - ''' - # LHS: 1/h - # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) - return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) - - def cal_kp2(m,z,t): - ''' - Create the perturbation parameter sets - m: model - z: m.pert, upper or normal or lower perturbation - t: time - ''' - # LHS: 1/h - # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) - return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) - - def dCAdt_control(m,z,t): - ''' - Calculate CA in Jacobian matrix analytically - z: scenario No. - t: timepoints - ''' - return m.dCAdt[z,t] == -m.kp1[z,t]*m.CA[z,t] - - def dCBdt_control(m,z,t): - ''' - Calculate CB in Jacobian matrix analytically - z: scenario No. - t: timepoints - ''' - return m.dCBdt[z,t] == m.kp1[z,t]*m.CA[z,t] - m.kp2[z,t]*m.CB[z,t] - - def dCCdt_control(m,z,t): - ''' - Calculate CC in Jacobian matrix analytically - z: scenario No. - t: timepoints - ''' - return m.dCCdt[z,t] == m.kp2[z,t]*m.CB[z,t] - - def alge(m,z,t): - ''' - The algebraic equation for mole balance - z: m.pert - t: time - ''' - return m.CA[z,t] + m.CB[z,t] + m.CC[z,t] == m.CA0[0] - - def obj_rule(m): - return 0 - - m.Obj = Objective(rule=obj_rule, sense=maximize) - - - # Control time - m.T_rule = Constraint(m.t, rule=T_control) - - # calculating C, Jacobian, FIM - m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) - m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) - m.dCAdt_rule = Constraint(m.scena, m.t, rule=dCAdt_control) - m.dCBdt_rule = Constraint(m.scena, m.t, rule=dCBdt_control) - - # switch between DAE and ODE model - if m.index1: - m.alge_rule = Constraint(m.scena, m.t, rule=alge) - else: - m.dCCdt_rule = Constraint(m.scena, m.t, rule=dCCdt_control) - - # B.C. - for z in m.scena: - # only ODE model needs this BC - if not m.index1: - m.CA[z,0.0].fix(value(m.CA0[0])) - m.CB[z,0.0].fix(0.0) - m.CC[z,0.0].fix(0.0) - - return m - - -time_an = list(np.linspace(0,1,97)) - -def create_model_alge(scena, CA_init=5, T_init=300, C_init=1): - ''' - This is an example user model provided to DoE library. - It is a problem using algebraic equations. - - Arguments: - scena: a dictionary of scenarios, achieved from scenario_generator() - - Time-independent design variable: - - CA_init: CA0 value - - T_init: T value - - C_init: initial value for C - - Return: - m: a Pyomo.DAE model - ''' - # parameters initialization, results from parameter estimation - theta_pe = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} - # concentration initialization - y_init = {'CA': value(CA_init), 'CB':0.0, 'CC':0.0} - - para_list = ['A1', 'A2', 'E1', 'E2'] - - ### Add variables - m = ConcreteModel() - - m.CA_init = CA_init - m.para_list = para_list - - m.scena_all = scena - m.scena = Set(initialize=scena['scena-name']) - - # timepoints - - #m.t = Set(initialize=[0,0.125,0.25,0.375,0.5,0.625,0.75,0.875,1]) - m.t = Set(initialize=time_an) - - m.t_con = Set(initialize=[0]) - - # time-independent design variable - m.CA0 = Var(m.t_con, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L - - m.T = Var(m.t, initialize = T_init, bounds=(300, 700), within=NonNegativeReals) - - m.R = 8.31446261815324 # J / K / mole - - # Define parameters - #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) - #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) - #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) - #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) - - m.A1 = Var(m.scena, initialize = m.scena_all['A1']) - m.A2 = Var(m.scena, initialize = m.scena_all['A2']) - m.E1 = Var(m.scena, initialize = m.scena_all['E1']) - m.E2 = Var(m.scena, initialize = m.scena_all['E2']) - - # Concentration variables under perturbation - m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) - m.CB = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) - m.CC = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) - - - # kinetic parameters - def kp1_init(m,s,t): - return m.A1[s] * exp(-m.E1[s]*1000/(m.R*m.T[t])) - - def kp2_init(m,s,t): - return m.A2[s] * exp(-m.E2[s]*1000/(m.R*m.T[t])) - - m.kp1 = Var(m.scena, m.t, initialize=kp1_init) - m.kp2 = Var(m.scena, m.t, initialize=kp2_init) - - def cal_kp1(m,z,t): - ''' - Create the perturbation parameter sets - m: model - z: scenario number - t: time - ''' - # LHS: 1/h - # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) - return m.kp1[z,t] == m.A1[z]*exp(-m.E1[z]*1000/(m.R*m.T[t])) - - def cal_kp2(m,z,t): - ''' - Create the perturbation parameter sets - m: model - z: m.pert, upper or normal or lower perturbation - t: time - ''' - # LHS: 1/h - # RHS: 1/h*(kJ/mol *1000J/kJ / (J/mol/K) / K) - return m.kp2[z,t] == m.A2[z]*exp(-m.E2[z]*1000/(m.R*m.T[t])) - - # Calculate model response variables - def CA_conc(m,z,t): - ''' - Calculate the model predictions - Argument: - z: scenario - t: timepoints - ''' - return m.CA[z,t] == m.CA0[0]*exp(-m.kp1[z,t]*t) - - def CB_conc(m,z,t): - ''' - Calculate the model predictions - Argument: - z: scenario - t: timepoints - ''' - return m.CB[z,t] == m.kp1[z,t]*m.CA0[0]/(m.kp2[z,t]-m.kp1[z,t]) * (exp(-m.kp1[z,t]*t) - exp(-m.kp2[z,t]*t)) - - def CC_conc(m,z,t): - ''' - Calculate the model predictions - Argument: - z: scenario - t: timepoints - ''' - return m.CC[z,t] == m.CA0[0] - m.CA[z,t] - m.CB[z,t] - - def CA0_const(m,t): - if t==0: - return Constraint.Skip - else: - return m.CA0[t] == m.CA0[0] - - def T_const(m,t): - if t==0: - return Constraint.Skip - else: - return m.T[t] == m.T[0] - - def obj_rule(m): - return 0 - - m.Obj = Objective(rule=obj_rule, sense=maximize) - - # calculating C, Jacobian, FIM - m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) - m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) - m.dCAdt_rule = Constraint(m.scena, m.t, rule=CA_conc) - m.dCBdt_rule = Constraint(m.scena, m.t, rule=CB_conc) - m.dCCdt_rule = Constraint(m.scena, m.t, rule=CC_conc) - #m.CA0_keep = Constraint(m.t, rule=CA0_const) - m.T_keep = Constraint(m.t, rule=T_const) - - - return m From d82d4e90672e00d82c2d99861700359a874f1463 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Fri, 17 Sep 2021 13:36:10 -0400 Subject: [PATCH 29/42] verify fixed bed results. going to use package for this model --- .../contrib/doe/design_of_exp_brute_v2.ipynb | 1016 ++++++++++------- pyomo/contrib/doe/fixed_bed_doe.ipynb | 567 ++------- pyomo/contrib/doe/fixed_bed_doe_old.ipynb | 623 ++++++++++ .../doe/fixed_bed_model_indexed_dynamic.py | 254 ++--- 4 files changed, 1462 insertions(+), 998 deletions(-) create mode 100644 pyomo/contrib/doe/fixed_bed_doe_old.ipynb diff --git a/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb b/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb index 6f60d314c8c..4313d26253c 100644 --- a/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb +++ b/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb @@ -9,45 +9,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 8, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:289: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " if diff is 0:\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:291: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif diff is 1:\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:293: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif diff is -1:\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:295: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif diff is 2:\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:305: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " if i is 'base' or 'forward_ua' or 'backward_ua':\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:307: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif i is 'forward_k':\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:309: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif i is 'backward_k':\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:661: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif i is 'forward_ua':\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_v2.py:663: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif i is 'backward_ua':\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "alpha option:\n", - "1 / (1 + exp(-x))\n", - "WARNING: DEPRECATED: The pyomo.core.kernel.component_set module is deprecated.\n", - " Import ComponentSet from pyomo.common.collections. (deprecated in 5.7.1)\n", - " (called from :228)\n" - ] - } - ], + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "from pyomo.environ import *\n", @@ -56,8 +20,10 @@ "import numpy as np\n", "import pandas as pd\n", "\n", - "from fixed_bed_model_v2 import *\n", - "#from Users.wangjialu.pyomo.pyomo.contrib.doe import fim_doe" + "from fixed_bed_model_indexed_dynamic import *\n", + "#from Users.wangjialu.pyomo.pyomo.contrib.doe import fim_doe\n", + "from idaes.apps.uncertainty_propagation.sens import get_dsdp\n", + "import time" ] }, { @@ -285,27 +251,16 @@ " return results" ] }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "def simulator(doe):\n", - " sim = Simulator(doe, package='casadi')\n", - " tsim, profiles = sim.simulate(numpoints=69, integrator='cvodes')" - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Continuous DoE problem" + "## Square problem" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -314,149 +269,22 @@ "collo = False\n", "exp_time = time_points(NFEt, time_scale)\n", "\n", - "T_init = 313.15\n", - "y_init = 0.15\n", - "\n", - "init_point = '20200729_energy.csv'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "test = create_model(temp=T_init, temp_bath=313.15, y=y_init, para=212, ua=np.log(5.0E6), opt=True, conti=True, \n", - " optimize_trace=True,diff=1, energy=True)\n", - "add_model(test, exp_time)\n", - "discretize(test, no_points=NFEt)\n", - "initialize(test, init_point)\n", - "result_ = solve_model(test)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print(value(test.temp_orig))\n", - "print(value(test.yfeed['CO2']))\n", - "print(value(test.obj))\n", - "print(np.log10(-value(test.obj)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Plot parmest result" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "k_trans = 250.0000015\n", - "init_point = 'T313y15_double.csv'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "test = create_model(293.15, 0.4, k_trans, 20000, opt=True, conti=False, diff=0, eps=epsilon, energy=False, isotherm = isotherm_opt, physsorb = physsorb_opt, chemsorb = chemsorb_opt, dispersion = dispersion_opt, fix_pres = fix_pres_opt, v_fix = v_fix_opt)\n", - "add_model(test)\n", - "solve_model(test, init_point)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "o29340 = pd.read_csv('293_40_exp.csv')\n", - "\n", - "plt.scatter(o29340.time, o29340.FCO2, label='experimental value')\n", - "\n", - "\n", - "breakthrough_modify3(test,exp)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Four corner analysis" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "tr_range = [106,212,318]\n", - "comp_range = [[293.15, 0.1], [293.15, 0.4], [373.15, 0.1], [373.15, 0.4]]\n", - "init_point = '20200729_energy.csv'\n", - "\n", - "for i in tr_range:\n", - " for j in comp_range:\n", - " print('solve the model where tr is', i,'dv are', j)\n", - " test = create_model(temp=j[0], temp_bath=313.15, y=j[1], para=i, ua=np.log(5.0E6), opt=True, conti=False, diff=0, eps=epsilon, energy=True)\n", - " add_model(test, exp_time)\n", - " #add_obj(test)def extract3(m,result):\n", - " discretize(test, no_points=68)\n", - " initialize(test, init_point)\n", - " results = solve_model(test)\n", - " dataframe = extract3(test, results)\n", - " dataframe.to_csv('T%.0fy%.0f_%.0f.csv'%(j[0], j[1]*100, i))\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Square problem" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[0, 47.05882352941177, 94.11764705882354, 141.1764705882353, 188.23529411764707, 235.29411764705884, 282.3529411764706, 329.4117647058824, 376.47058823529414, 423.5294117647059, 470.5882352941177, 517.6470588235295, 564.7058823529412, 611.7647058823529, 658.8235294117646, 705.8823529411764, 752.9411764705881, 799.9999999999998, 847.0588235294115, 894.1176470588232, 941.1764705882349, 988.2352941176466, 1035.2941176470583, 1082.35294117647, 1129.4117647058818, 1176.4705882352935, 1223.5294117647052, 1270.5882352941169, 1317.6470588235286, 1364.7058823529403, 1411.764705882352, 1458.8235294117637, 1505.8823529411754, 1552.9411764705872, 1599.9999999999989, 1647.0588235294106, 1694.1176470588223, 1741.176470588234, 1788.2352941176457, 1835.2941176470574, 1882.3529411764691, 1929.4117647058808, 1976.4705882352926, 2023.5294117647043, 2070.588235294116, 2117.647058823528, 2164.7058823529396, 2211.7647058823513, 2258.823529411763, 2305.8823529411748, 2352.9411764705865, 2399.999999999998, 2447.05882352941, 2494.1176470588216, 2541.1764705882333, 2588.235294117645, 2635.2941176470567, 2682.3529411764684, 2729.41176470588, 2776.470588235292, 2823.5294117647036, 2870.5882352941153, 2917.647058823527, 2964.7058823529387, 3011.7647058823504, 3058.823529411762, 3105.882352941174, 3152.9411764705856, 3199.9999999999973]\n" - ] - } - ], - "source": [ - "NFEt = 68\n", - "time_scale = 3200\n", - "collo = False\n", - "exp_time = time_points(NFEt, time_scale)\n", - "print(exp_time)\n", + "scena_all = {'scena-name': [0], 'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", "\n", - "tr_range = [212]\n", - "ua_range = [np.log(5.0E6)]\n", - "init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", - "#init_point = '353_20_5e3_bothT_of2.csv'\n", + "#init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", + "#init_point = '20210916_feed313_bath293.csv'\n", + "#init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/fixed_bed_initial/T353y20_5e3.csv'\n", + "init_point = '20210916_feed293_bath313_5e4.csv'\n", "#init_point = 'init_test.csv'\n", - "#init_point = 'T353y20_5e3.csv'" + "#init_point = 'T353y20_5e3.csv'\n", + "\n", + "doe_model_opt = True\n", + "k_aug_opt=False" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 16, "metadata": { "scrolled": true }, @@ -465,11 +293,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "solve the model where tr is 212 ua is 15.424948470398375\n", - "The inlet gas temperature is 313.15\n", - "The inlet feed density is 38.40726649935368 [mol/m3]\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", "the number of timepoints is 68\n", - "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", + "The init point is 20210916_feed293_bath313_5e4.csv\n", "Model # of time grid is 69 , initial point # of time grid is 69\n", "wangjialudeMacBook-Pro.local\n", "Loading custom Ipopt...\n", @@ -503,203 +329,200 @@ " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.54e+00 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (15843376)\n", - "Reallocating memory for MA57: lfact (17855952)\n", - " 1 0.0000000e+00 2.40e+00 2.32e+01 -1.0 1.34e+00 - 8.55e-01 5.24e-02h 1\n", - " 2 0.0000000e+00 2.40e+00 1.75e+04 -1.0 1.27e+00 - 4.87e-01 7.04e-04h 1\n", - " 3r 0.0000000e+00 2.40e+00 1.00e+03 0.1 0.00e+00 - 0.00e+00 4.41e-07R 5\n", - " 4r 0.0000000e+00 7.30e-01 1.00e+03 0.1 7.00e+02 - 2.21e-03 1.34e-03f 1\n", - " 5r 0.0000000e+00 5.93e-01 9.96e+02 0.1 1.68e+02 - 1.30e-03 2.41e-03f 1\n", - " 6r 0.0000000e+00 3.97e-01 9.94e+02 0.1 6.63e+01 - 1.77e-03 4.67e-03f 1\n", - " 7r 0.0000000e+00 3.30e-01 9.91e+02 0.1 5.22e+01 - 2.63e-03 4.41e-03f 1\n", - " 8r 0.0000000e+00 3.03e-01 1.02e+03 0.1 6.09e+01 - 1.97e-03 4.76e-03f 1\n", - " 9r 0.0000000e+00 2.93e-01 1.03e+03 0.1 3.27e+01 - 3.68e-03 4.75e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 2.86e-01 1.05e+03 0.1 3.18e+01 - 3.44e-03 5.37e-03f 1\n", - " 11r 0.0000000e+00 2.76e-01 1.07e+03 0.1 2.90e+01 - 4.03e-03 5.59e-03f 1\n", - " 12r 0.0000000e+00 2.58e-01 1.09e+03 0.1 2.74e+01 - 4.35e-03 5.83e-03f 1\n", - " 13r 0.0000000e+00 2.21e-01 1.10e+03 0.1 2.62e+01 - 4.66e-03 6.01e-03f 1\n", - " 14r 0.0000000e+00 1.28e-01 1.11e+03 0.1 2.49e+01 - 4.96e-03 6.19e-03f 1\n", - " 15r 0.0000000e+00 1.20e-01 1.09e+03 0.1 1.87e+01 - 1.30e-02 6.38e-03f 1\n", - " 16r 0.0000000e+00 9.37e-02 8.99e+02 0.1 3.44e+00 - 2.12e-01 2.28e-02f 1\n", - " 17r 0.0000000e+00 9.33e+00 7.79e+02 0.1 3.14e+00 - 2.26e-01 2.62e-01f 1\n", - " 18r 0.0000000e+00 2.77e+00 5.90e+02 0.1 2.04e+00 - 3.20e-01 2.33e-01f 1\n", - " 19r 0.0000000e+00 1.53e+00 3.65e+02 0.1 1.70e+00 - 3.82e-01 3.00e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 1.05e+01 2.68e+03 0.1 1.58e+00 - 3.94e-01 1.00e+00f 1\n", - " 21r 0.0000000e+00 4.25e+00 1.03e+03 0.1 5.41e-01 2.0 8.29e-01 8.62e-01f 1\n", - " 22r 0.0000000e+00 3.56e+00 1.09e+03 0.1 5.38e-01 2.4 1.00e+00 1.55e-01f 1\n", - " 23r 0.0000000e+00 1.73e+00 1.12e+03 0.1 6.50e-01 1.9 7.36e-01 3.57e-01f 1\n", - " 24r 0.0000000e+00 1.47e+01 6.53e+05 0.1 3.37e+00 - 2.93e-02 4.53e-01f 1\n", - " 25r 0.0000000e+00 1.32e+01 5.87e+05 0.1 7.28e-01 4.2 1.10e-01 1.07e-01f 1\n", - " 26r 0.0000000e+00 9.75e+00 4.38e+05 0.1 7.72e-01 3.7 5.10e-02 2.78e-01h 1\n", - " 27r 0.0000000e+00 8.00e+00 3.63e+05 0.1 3.32e-01 4.1 1.92e-01 1.92e-01h 1\n", - " 28r 0.0000000e+00 6.87e+00 3.12e+05 0.1 9.20e-01 3.7 1.31e-01 1.47e-01h 1\n", - " 29r 0.0000000e+00 5.61e+00 2.59e+05 0.1 2.91e-01 4.1 1.97e-01 1.95e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 5.43e+00 2.51e+05 0.1 3.00e+01 3.6 8.48e-03 3.32e-02h 1\n", - " 31r 0.0000000e+00 2.42e+00 1.30e+05 0.1 3.06e-01 4.0 7.28e-02 6.96e-01h 1\n", - " 32r 0.0000000e+00 1.97e+00 9.98e+04 0.1 3.25e-01 4.5 4.63e-02 1.96e-01h 1\n", - " 33r 0.0000000e+00 7.13e-01 4.23e+04 0.1 2.52e-01 4.0 1.69e-01 7.71e-01h 1\n", - " 34r 0.0000000e+00 5.87e-01 3.49e+04 0.1 2.15e-01 3.5 8.75e-01 1.79e-01f 1\n", - " 35r 0.0000000e+00 5.14e-01 3.07e+04 0.1 5.90e-01 3.0 1.00e+00 1.12e-01f 1\n", - " 36r 0.0000000e+00 3.72e-01 2.26e+04 0.1 2.04e-01 3.4 1.00e+00 2.79e-01f 1\n", - " 37r 0.0000000e+00 2.95e-01 1.82e+04 0.1 5.39e-01 3.0 1.00e+00 1.96e-01f 1\n", - " 38r 0.0000000e+00 1.02e-01 8.68e+03 0.1 1.97e-01 3.4 1.00e+00 6.69e-01f 1\n", - " 39r 0.0000000e+00 1.03e-01 1.64e+03 0.1 4.20e-02 2.9 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 5.50e-02 1.28e+02 0.1 5.39e-02 2.4 1.00e+00 1.00e+00f 1\n", - " 41r 0.0000000e+00 1.12e-02 2.10e+01 0.1 1.43e-01 2.0 1.00e+00 1.00e+00f 1\n", - " 42r 0.0000000e+00 9.19e-03 1.78e+02 -0.6 4.05e-01 1.5 9.20e-01 4.73e-01f 1\n", - " 43r 0.0000000e+00 3.41e-02 5.37e+02 -0.6 6.82e-01 1.0 1.00e+00 2.94e-01f 1\n", - " 44r 0.0000000e+00 2.75e-01 1.02e+03 -0.6 7.01e+00 - 7.16e-01 7.93e-02f 1\n", - " 45r 0.0000000e+00 1.22e+00 3.62e+02 -0.6 1.91e+00 - 1.00e+00 5.72e-01f 1\n", - " 46r 0.0000000e+00 9.03e-01 2.89e+02 -0.6 5.93e-01 - 1.00e+00 9.48e-01f 1\n", - " 47r 0.0000000e+00 5.26e-01 3.83e+02 -0.6 2.06e-01 - 9.28e-01 1.00e+00f 1\n", - " 48r 0.0000000e+00 3.79e-02 4.32e+02 -0.6 7.08e-02 2.3 1.00e+00 1.00e+00f 1\n", - " 49r 0.0000000e+00 9.75e-03 2.01e+02 -0.6 8.60e-02 1.9 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 2.79e-02 2.32e+01 -0.6 4.50e-01 - 1.00e+00 9.99e-01f 1\n", - " 51r 0.0000000e+00 9.64e-03 1.01e+00 -0.6 1.89e-01 - 1.00e+00 1.00e+00f 1\n", - " 52r 0.0000000e+00 6.74e-01 1.75e+02 -2.0 1.40e+00 - 8.92e-01 2.85e-01f 1\n", - " 53r 0.0000000e+00 6.44e-01 1.42e+02 -2.0 7.04e-01 - 9.75e-01 4.83e-01f 1\n", - " 54r 0.0000000e+00 7.64e-01 1.58e+02 -2.0 8.22e-01 - 7.94e-01 3.80e-01f 1\n", - " 55r 0.0000000e+00 7.36e-01 1.53e+02 -2.0 5.92e-01 - 1.00e+00 5.59e-01f 1\n", - " 56r 0.0000000e+00 5.86e-01 8.28e+01 -2.0 5.01e-01 - 4.65e-01 4.60e-01f 1\n", - " 57r 0.0000000e+00 4.33e-01 1.00e+02 -2.0 4.38e-01 - 2.48e-01 3.71e-01f 1\n", - " 58r 0.0000000e+00 3.54e-01 1.41e+02 -2.0 4.23e-01 - 8.40e-01 3.19e-01f 1\n", - " 59r 0.0000000e+00 2.99e-01 8.35e+01 -2.0 3.86e-01 - 1.33e-01 2.35e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 2.59e-01 6.86e+01 -2.0 3.50e-01 - 1.68e-01 1.75e-01f 1\n", - " 61r 0.0000000e+00 2.27e-01 1.26e+02 -2.0 3.27e-01 - 1.00e+00 7.07e-01f 1\n", - " 62r 0.0000000e+00 1.95e-01 1.12e+02 -2.0 2.69e-01 - 1.76e-01 1.63e-01f 1\n", - " 63r 0.0000000e+00 1.67e-01 9.48e+01 -2.0 2.63e-01 - 1.57e-01 1.63e-01f 1\n", - " 64r 0.0000000e+00 1.35e-01 5.52e+01 -2.0 2.54e-01 - 5.34e-01 4.95e-01f 1\n", - " 65r 0.0000000e+00 1.28e-01 5.81e+01 -2.0 3.64e-01 - 6.73e-02 5.61e-02f 1\n", - " 66r 0.0000000e+00 1.03e-01 9.01e+01 -2.0 2.28e-01 - 2.68e-01 3.95e-01f 1\n", - " 67r 0.0000000e+00 8.70e-02 7.98e+01 -2.0 1.94e-01 - 3.11e-01 2.09e-01f 1\n", - " 68r 0.0000000e+00 6.26e-02 1.43e+02 -2.0 2.66e-02 2.3 1.97e-01 2.80e-01f 1\n", - " 69r 0.0000000e+00 2.70e-02 2.87e+02 -2.0 4.22e-02 1.8 3.22e-01 5.68e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 1.79e-02 2.36e+02 -2.0 9.02e-02 1.3 5.72e-01 3.43e-01f 1\n", - " 71r 0.0000000e+00 1.65e-02 2.94e+02 -2.0 2.94e-01 0.9 1.32e-01 8.23e-02f 1\n", - " 72r 0.0000000e+00 1.64e-02 2.94e+02 -2.0 1.35e+01 0.4 1.37e-03 1.93e-03f 1\n", - " 73r 0.0000000e+00 1.75e-02 2.83e+02 -2.0 1.23e+00 - 3.41e-02 3.00e-02f 1\n", - " 74r 0.0000000e+00 1.76e-02 2.78e+02 -2.0 2.83e+00 - 2.17e-02 8.60e-03f 1\n", - " 75r 0.0000000e+00 3.59e-02 4.10e+02 -2.0 4.68e-01 - 2.85e-01 1.82e-01f 1\n", - " 76r 0.0000000e+00 3.54e-02 3.68e+02 -2.0 2.77e-01 - 1.07e-01 1.25e-01f 1\n", - " 77r 0.0000000e+00 3.49e-02 3.63e+02 -2.0 1.30e+00 - 2.08e-02 2.68e-02f 1\n", - " 78r 0.0000000e+00 3.47e-02 5.40e+02 -2.0 2.89e-01 - 9.25e-02 1.60e-01f 1\n", - " 79r 0.0000000e+00 3.32e-02 4.85e+02 -2.0 2.32e-01 - 1.68e-01 1.24e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 3.26e-02 4.77e+02 -2.0 1.54e+00 -0.1 2.39e-02 1.89e-02f 1\n", - " 81r 0.0000000e+00 3.21e-02 4.60e+02 -2.0 1.25e+00 - 2.61e-02 3.23e-02f 1\n", - " 82r 0.0000000e+00 2.96e-02 3.83e+02 -2.0 1.85e-01 - 1.74e-01 1.70e-01f 1\n", - " 83r 0.0000000e+00 2.94e-02 3.79e+02 -2.0 3.29e+00 - 1.31e-02 1.23e-02f 1\n", - " 84r 0.0000000e+00 2.42e-02 3.28e+02 -2.0 1.83e-01 0.3 2.98e-01 2.06e-01f 1\n", - " 85r 0.0000000e+00 2.73e-02 2.56e+02 -2.0 2.17e-01 - 2.47e-01 2.32e-01f 1\n", - " 86r 0.0000000e+00 1.22e-02 1.66e+02 -2.0 6.25e-02 0.8 8.42e-01 6.24e-01f 1\n", - " 87r 0.0000000e+00 2.18e-02 1.40e+02 -2.0 4.39e-01 - 2.12e-01 1.69e-01f 1\n", - " 88r 0.0000000e+00 2.48e-02 1.19e+02 -2.0 2.94e-01 - 1.82e-01 1.56e-01f 1\n", - " 89r 0.0000000e+00 2.46e-02 1.26e+02 -2.0 1.80e-01 - 2.81e-01 2.38e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 1.88e-02 1.58e+01 -2.0 7.80e-02 - 1.00e+00 1.00e+00f 1\n", - " 91r 0.0000000e+00 2.52e-04 3.28e+00 -2.0 1.32e-02 - 1.00e+00 1.00e+00h 1\n", - " 92r 0.0000000e+00 2.58e-04 2.48e-02 -2.0 5.37e-04 - 1.00e+00 1.00e+00h 1\n", - " 93r 0.0000000e+00 1.98e-02 2.83e+02 -4.5 2.91e-01 - 9.72e-01 2.86e-01f 1\n", - " 94r 0.0000000e+00 1.81e-02 4.17e+02 -4.5 1.24e-01 - 1.00e+00 2.93e-01f 1\n", - " 95r 0.0000000e+00 1.17e-02 3.67e+02 -4.5 4.82e-02 - 1.00e+00 4.38e-01f 1\n", - " 96r 0.0000000e+00 5.12e-03 2.15e+02 -4.5 1.60e-02 - 9.27e-01 5.91e-01f 1\n", - " 97r 0.0000000e+00 2.73e-03 1.38e+02 -4.5 4.88e-03 - 7.06e-01 4.72e-01f 1\n", - " 98r 0.0000000e+00 1.39e-03 1.73e+02 -4.5 2.52e-03 - 7.24e-01 4.92e-01f 1\n", - " 99r 0.0000000e+00 5.09e-04 1.04e+02 -4.5 1.26e-03 - 8.02e-01 6.37e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 7.22e-05 2.90e+01 -4.5 4.56e-04 - 9.08e-01 8.59e-01f 1\n", - " 101r 0.0000000e+00 5.56e-08 2.51e-04 -4.5 6.37e-05 - 1.00e+00 1.00e+00f 1\n", - " 102r 0.0000000e+00 1.35e-08 5.56e+01 -6.7 5.73e-06 - 1.00e+00 7.47e-01f 1\n", - " 103r 0.0000000e+00 4.08e-09 9.44e+01 -6.7 1.00e-06 - 9.01e-01 6.60e-01f 1\n" + " 0 0.0000000e+00 1.35e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (15890364)\n", + "Reallocating memory for MA57: lfact (17926571)\n", + " 1 0.0000000e+00 1.35e+02 1.98e+01 -1.0 1.26e+01 - 6.08e-02 2.98e-03h 1\n", + " 2 0.0000000e+00 1.35e+02 8.10e+04 -1.0 1.26e+01 - 1.12e-01 2.98e-05h 1\n" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Number of Iterations....: 103\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 4.0844943192415999e-09 4.0844943192415999e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 4.0844943192415999e-09 4.0844943192415999e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 109\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 109\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 105\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 103\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 46.722\n", - "Total CPU secs in NLP function evaluations = 5.515\n", - "\n", - "EXIT: Optimal Solution Found.\n" + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_7911/3253280652.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdoe_model_opt\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mk_aug_opt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m \u001b[0mresult_\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msolver\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdoe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtee\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msymbolic_solver_labels\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 55\u001b[0m \u001b[0;31m#doe.load(results)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 56\u001b[0m \u001b[0;31m#if (results.solver.status == SolverStatus.ok) and (results.solver.termination_condition == TerminationCondition.infeasible):\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/opt/base/solvers.py\u001b[0m in \u001b[0;36msolve\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m 576\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_initialize_callbacks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_model\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 577\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 578\u001b[0;31m \u001b[0m_status\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply_solver\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 579\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'_transformation_data'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 580\u001b[0m \u001b[0;32mdel\u001b[0m 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"\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/opt/solver/shellcmd.py\u001b[0m in \u001b[0;36m_execute_command\u001b[0;34m(self, command)\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 318\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mTeeStream\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mostreams\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 319\u001b[0;31m results = subprocess.run(\n\u001b[0m\u001b[1;32m 320\u001b[0m \u001b[0mcommand\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcmd\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 321\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_input\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/subprocess.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(input, capture_output, timeout, check, *popenargs, **kwargs)\u001b[0m\n\u001b[1;32m 505\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mPopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mpopenargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mprocess\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 506\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 507\u001b[0;31m \u001b[0mstdout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstderr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mprocess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcommunicate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m 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in ua_range:\n", - " print('solve the model where tr is', i,'ua is', j)\n", - " test = create_model(temp=313.15, temp_bath=313.15, y=0.15, para=i, ua=j, opt=True, conti=False, diff=0, energy=True)\n", - " add_model(test, exp_time)\n", - " #add_obj(test, NFEt, time_scale, file='353_20_5e3_exp.csv', source_opt=\"computer\")\n", - " #fix_initial_bed(test)\n", - " #initial_sim(test)\n", - " #simulator(test)\n", - " discretize(test, no_points=NFEt)\n", - " initialize(test, init_point)\n", - " result_ = solve_model(test)\n", + "test = create_model(scena_all, temp_feed=293.15, temp_bath=303.15, y=0.2, doe_model=doe_model_opt, k_aug=k_aug_opt, opt=False, diff=0)\n", + "add_model(test, exp_time)\n", + "#add_obj(test, NFEt, time_scale, file='353_20_5e3_exp.csv', source_opt=\"computer\")\n", + "#fix_initial_bed(test)\n", + "#initial_sim(test)\n", + "#simulator(test)\n", "\n", - " " + "initialize(test, init_point)\n", + "discretize(test, no_points=NFEt)\n", + "\n", + "test.temp_feed.fix()\n", + "test.temp_bath.fix()\n", + "test.yfeed.fix()\n", + "\n", + "if (doe_model_opt and not k_aug_opt):\n", + " result_ = solve_model(test)\n", + " \n", + "else:\n", + " test.fitted_transport_coefficient.setub(scena_all['fitted_transport_coefficient'])\n", + " test.fitted_transport_coefficient.setlb(scena_all['fitted_transport_coefficient'])\n", + " test.ua.setub(scena_all['ua'])\n", + " test.ua.setlb(scena_all['ua'])\n", + "\n", + " var_name = ['fitted_transport_coefficient[0]', 'ua[0]']\n", + " var_dict = {'fitted_transport_coefficient[0]':212, 'ua[0]': np.log(5.0E6)}\n", + " \n", + " time0 = time.time()\n", + " dsdp_re, col = get_dsdp(test, var_name, var_dict, tee=True)\n", + " time1 = time.time()\n", + " print('Total time:', time1-time0)" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "ERROR: evaluating object as numeric value: t\n", - " (object: )\n", - " 'ContinuousSet' object is not callable\n" - ] - }, - { - "ename": "TypeError", - "evalue": "'ContinuousSet' object is not callable", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_42483/3391102598.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mti\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mt\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mti\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mti\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32mpyomo/core/expr/numvalue.pyx\u001b[0m in \u001b[0;36mpyomo.core.expr.numvalue.value\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32mpyomo/core/expr/numvalue.pyx\u001b[0m in \u001b[0;36mpyomo.core.expr.numvalue.value\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mTypeError\u001b[0m: 'ContinuousSet' object is not callable" + "[[ 1.00000000e+00 1.16405929e-18]\n", + " [ 3.81638943e-03 4.43432107e-04]\n", + " [ 2.76253407e-03 4.18308772e-04]\n", + " ...\n", + " [-3.04388195e-09 3.66300469e-07]\n", + " [-2.79960729e-09 3.21957599e-07]\n", + " [-2.56943660e-09 2.82973251e-07]]\n" ] } ], "source": [ - "ti =[]\n", - "for t in test.t:\n", - " ti.append(value(test.t))\n", - "print(ti)" + "print(dsdp_re.toarray().T)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def breakthrough_modify2(m, file=None, source=\"lab\"):\n", + " '''\n", + " Draw breakthrough curve of the Pyomo model\n", + " \n", + " Arguments:\n", + " m: Pyomo model\n", + " file: when source = 'computer', this is where the computer experimental data is stored. Otherwise, its default is None\n", + " source: if computer, it is plotting the computer experiment data. If lab, its comparing the experiments from the lab\n", + " \n", + " Return: None \n", + " \n", + " Other: plot\n", + " \n", + " '''\n", + " \n", + " \n", + " # unit: mol/m3\n", + " outlet_den, _, _, _ = extract3d(m, m.C, 'CO2')\n", + " \n", + " # unit: cm/s\n", + " outlet_vel, _, _, _ = extract2d(m, m.v)\n", + " \n", + " outlet_n2, _, _, _ = extract3d(m, m.C, 'N2')\n", + " \n", + " model_temp, _,_,_ = extract2d(m,m.temp)\n", + " \n", + " \n", + " T = []\n", + " for j in m.t:\n", + " T.append(value(j))\n", + " t_final = T[-1]\n", + " \n", + " \n", + " if source == \"lab\":\n", + " break_wvu = pd.read_csv('/Users/wangjialu/dowlinglab/sorption-fixed-bed/breakthrough_wvu.csv')\n", + " \n", + " exp = pd.read_csv('/Users/wangjialu/dowlinglab/sorption-fixed-bed/co2_breakthrough.csv')\n", + " \n", + " data_c1 = exp['FCO2']\n", + " data_c = np.asarray(data_c1)\n", + " data_t1 = exp['time'] \n", + " data_t = np.asarray(data_t1*60+10)\n", + " new_data = np.interp(T, data_t, data_c)\n", + " \n", + " \n", + " plt.plot(exp['time']*60, exp['FCO2'],'b.', color='r', label='Experimental data')\n", + " plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Model prediction')\n", + "\n", + " plt.xlabel('time [s]')\n", + " plt.ylabel('Normalized outlet gas density of CO\\N{SUBSCRIPT TWO} ')\n", + " plt.title('Breakthrough curve')\n", + " #plt.savefig('break_tr%.fua%.f.png'%(tr,ua))\n", + " plt.legend()\n", + " plt.show()\n", + " \n", + " elif source == \"computer\": \n", + " \n", + " sol = pd.read_csv(file)\n", + " \n", + " #for i in range(len(time_exp)): \n", + " # yco2_exp[time_exp[i]] = sol['FCO2'][i]\n", + " # temp_mid_exp[time_exp[i]] = sol['temp_mid'][i]\n", + " # temp_end_exp[time_exp[i]] = sol['temp_end'][i]\n", + " \n", + " exp_fco2 = np.asarray(sol['FCO2'].values.tolist())\n", + " exp_temp_mid = np.asarray(sol['temp_mid'].values.tolist())\n", + " exp_temp_end = np.asarray(sol['temp_end'].values.tolist())\n", + " \n", + " plt.plot(T, exp_fco2/exp_fco2[-1], label = 'Experimental data')\n", + " plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Model prediction')\n", + " plt.xlabel('time [s]')\n", + " plt.ylabel('Normalized outlet gas density of CO\\N{SUBSCRIPT TWO} ')\n", + " plt.title('Breakthrough curve')\n", + " #plt.savefig('break_tr%.fua%.f.png'%(tr,ua))\n", + " plt.legend()\n", + " plt.show()\n", + " \n", + " \n", + " plt.plot(T, exp_temp_mid, label='Experimental data of middle T')\n", + " plt.plot(T, model_temp[10,:], label='Model prediction of middle T')\n", + " plt.plot(T, exp_temp_end, label='Experimental data of end T')\n", + " plt.plot(T, model_temp[19,:], label='Model prediction of end T')\n", + " plt.xlabel('time [s]')\n", + " plt.ylabel('Temperature [K]')\n", + " plt.title('Temperature model prediction and experimental data')\n", + " #plt.savefig('break_tr%.fua%.f.png'%(tr,ua))\n", + " plt.legend()\n", + " plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "breakthrough_modify2(test)" ] }, { @@ -708,7 +531,31 @@ "metadata": {}, "outputs": [], "source": [ - "add_obj(test, NFEt, time_scale, file='333_40_5e3_exp.csv', source_opt=\"computer\")" + "def temp_draw(m):\n", + " T, _, _, _ = extract2d(m, m.temp)\n", + " \n", + " T_init = T[0]\n", + " T_mid = T[10]\n", + " T_end = T[19]\n", + " \n", + " plt.plot(exp_time, T_init, label='Inlet end bed T')\n", + " plt.plot(exp_time, T_mid, label='Mid end bed T')\n", + " plt.plot(exp_time, T_end, label='Outlet end bed T')\n", + " plt.xlabel('Time [s]')\n", + " plt.ylabel('Temperature [K]')\n", + " plt.legend()\n", + " print(np.shape(T))\n", + " \n", + "temp_draw(test)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#add_obj(test, NFEt, time_scale, file='333_40_5e3_exp.csv', source_opt=\"computer\")" ] }, { @@ -727,19 +574,20 @@ "for t in test.t:\n", " T.append(value(t))\n", " \n", + "\n", "for i in T: \n", - " fco2_model.append(value(test.FCO2['base',19,i])/value(test.FCO2['base',19,T[-1]]))\n", + " fco2_model.append(value(test.FCO2[0,19,i])/value(test.FCO2[0,19,T[-1]]))\n", " fco2_exp.append(test.yCO2[i]/test.yCO2[T[-1]])\n", - " temp_mid_model.append(value(test.temp['base',10,i])/value(test.temp['base',10,T[-1]]) )\n", + " temp_mid_model.append(value(test.temp[0,10,i])/value(test.temp[0,10,T[-1]]) )\n", " temp_mid_exp.append(test.midT[i]/test.midT[T[-1]])\n", - " temp_end_model.append(value(test.temp['base',19,i])/value(test.temp['base',19,T[-1]]))\n", + " temp_end_model.append(value(test.temp[0,19,i])/value(test.temp[0,19,T[-1]]))\n", " temp_end_exp.append(test.endT[i]/test.endT[T[-1]])\n", " \n", - "x = sum((value(test.FCO2['base',19,t])/value(test.FCO2['base',19,T[-1]]) - test.yCO2[t]/test.yCO2[T[-1]])**2 for t in test.t)\n", + "x = sum((value(test.FCO2[0,19,t])/value(test.FCO2[0,19,T[-1]]) - test.yCO2[t]/test.yCO2[T[-1]])**2 for t in test.t)\n", "\n", - "x2 = sum((value(test.temp['base',10,t])/value(test.temp['base',10,T[-1]]) - test.midT[t]/test.midT[T[-1]])**2 for t in test.t)\n", + "x2 = sum((value(test.temp[0,10,t])/value(test.temp[0,10,T[-1]]) - test.midT[t]/test.midT[T[-1]])**2 for t in test.t)\n", "\n", - "x3 = sum((value(test.temp['base',19,t])/value(test.temp['base',19,T[-1]]) - test.endT[t]/test.endT[T[-1]])**2 for t in test.t)\n", + "x3 = sum((value(test.temp[0,19,t])/value(test.temp[0,19,T[-1]]) - test.endT[t]/test.endT[T[-1]])**2 for t in test.t)\n", "\n", "print(x)\n", "print(x2)\n", @@ -752,11 +600,11 @@ "metadata": {}, "outputs": [], "source": [ - "x = sum(((value(test.FCO2['base',19,t]) - test.yCO2[t])**2)/2.3697116742123714E-07 for t in test.t)\n", + "x = sum(((value(test.FCO2[0,19,t]) - test.yCO2[t])**2)/2.3697116742123714E-07 for t in test.t)\n", "\n", - "x2 = sum(((value(test.temp['base',10,t]) - test.midT[t])**2)/9.1369 for t in test.t)\n", + "x2 = sum(((value(test.temp[0,10,t]) - test.midT[t])**2)/9.1369 for t in test.t)\n", "\n", - "x3 = sum(((value(test.temp['base',19,t]) - test.endT[t])**2)/9.1284 for t in test.t)\n", + "x3 = sum(((value(test.temp[0,19,t]) - test.endT[t])**2)/9.1284 for t in test.t)\n", "\n", "print(x)\n", "print(x2)\n", @@ -806,8 +654,301 @@ "metadata": {}, "outputs": [], "source": [ - "dataframe = extract3(test,result_)\n", - "dataframe.to_csv('353_293_5e3_updatedm.csv')" + "dataframe = extract3(test, result_)\n", + "dataframe.to_csv('20210916_feed293_bath303_5e6.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def extract3(m,result):\n", + " ''' \n", + " Extract results from Pyomo model for brute force DoE problem. \n", + " Compared to extract2: less options kept, add the design variable values \n", + " \n", + " Arguments:\n", + " m: the model\n", + " \n", + " Return: a single pandas dataframe storing all results\n", + " '''\n", + " nTime = len(m.t)\n", + " nGrid = len(m.zgrid)\n", + " n = nTime*nGrid\n", + " \n", + " ### Variables to be extracted\n", + " \n", + " # Two 3D variables, for COMPS(N2, CO2, He)\n", + " \n", + " FCO2_1, FCO2_2, FCO2_3, FCO2_4 = extract2d(m, m.FCO2)\n", + " \n", + " FCO21 = np.reshape(FCO2_1, n)\n", + " FCO22 = np.reshape(FCO2_2, n)\n", + " FCO23 = np.reshape(FCO2_3, n)\n", + " FCO24 = np.reshape(FCO2_4, n)\n", + " \n", + " C_N2_1, C_N2_2, C_N2_3, C_N2_4 = extract3d(m,m.C,'N2')\n", + " C_CO2_1, C_CO2_2, C_CO2_3, C_CO2_4 = extract3d(m,m.C,'CO2')\n", + " \n", + " C_N21 = np.reshape(C_N2_1, n)\n", + " C_CO21 = np.reshape(C_CO2_1, n)\n", + " \n", + " C_N22 = np.reshape(C_N2_2, n)\n", + " C_CO22 = np.reshape(C_CO2_2, n)\n", + " \n", + " C_N23 = np.reshape(C_N2_3, n)\n", + " C_CO23 = np.reshape(C_CO2_3, n)\n", + " \n", + " C_N24 = np.reshape(C_N2_4, n)\n", + " C_CO24 = np.reshape(C_CO2_4, n)\n", + " \n", + " \n", + " dcdt_N2_1, dcdt_N2_2, dcdt_N2_3, dcdt_N2_4 = extract3d(m,m.dCdt,'N2')\n", + " dcdt_CO2_1, dcdt_CO2_2, dcdt_CO2_3, dcdt_CO2_4 = extract3d(m,m.dCdt,'CO2')\n", + " \n", + " dcdt_N21 = np.reshape(dcdt_N2_1,n)\n", + " dcdt_CO21 = np.reshape(dcdt_CO2_1,n)\n", + " \n", + " dcdt_N22 = np.reshape(dcdt_N2_2,n)\n", + " dcdt_CO22 = np.reshape(dcdt_CO2_2,n)\n", + " \n", + " dcdt_N23 = np.reshape(dcdt_N2_3,n)\n", + " dcdt_CO23 = np.reshape(dcdt_CO2_3,n)\n", + " \n", + " dcdt_N24 = np.reshape(dcdt_N2_4,n)\n", + " dcdt_CO24 = np.reshape(dcdt_CO2_4,n)\n", + " \n", + " # Three 2D variables\n", + " vel_1, vel_2, vel_3, vel_4 = extract2d(m, m.v)\n", + " \n", + " vel1 = np.reshape(vel_1, n)\n", + " vel2 = np.reshape(vel_2,n)\n", + " vel3 = np.reshape(vel_3,n)\n", + " vel4 = np.reshape(vel_4,n)\n", + " \n", + " P_1, P_2, P_3, P_4 = extract2d(m,m.P)\n", + " P1 = np.reshape(P_1,n)\n", + " P2 = np.reshape(P_2, n)\n", + " P3 = np.reshape(P_3, n)\n", + " P4 = np.reshape(P_4, n)\n", + " \n", + " total_den_1, total_den_2, total_den_3, total_den_4 = extract2d(m,m.total_den)\n", + " total_den1 = np.reshape(total_den_1, n)\n", + " total_den2 = np.reshape(total_den_2, n)\n", + " total_den3 = np.reshape(total_den_3, n)\n", + " total_den4 = np.reshape(total_den_4, n)\n", + " \n", + " if m.energy:\n", + " T_1, T_2, T_3, T_4 = extract2d(m,m.temp)\n", + " T1 = np.reshape(T_1, n)\n", + " T2 = np.reshape(T_2, n)\n", + " T3 = np.reshape(T_3, n)\n", + " T4 = np.reshape(T_4, n)\n", + " \n", + " dTdt_1, dTdt_2, dTdt_3, dTdt_4 = extract2d(m,m.dTdt)\n", + " dTdt1 = np.reshape(dTdt_1,n)\n", + " dTdt2 = np.reshape(dTdt_2,n)\n", + " dTdt3 = np.reshape(dTdt_3,n)\n", + " dTdt4 = np.reshape(dTdt_4,n)\n", + " \n", + " nplin_1, nplin_2, nplin_3, nplin_4 = extract2d(m, m.nplin)\n", + " nplin1 = np.reshape(nplin_1, n)\n", + " nplin2 = np.reshape(nplin_2, n)\n", + " nplin3 = np.reshape(nplin_3, n)\n", + " nplin4 = np.reshape(nplin_4, n)\n", + " \n", + " \n", + " # Seven 3D variables, for SCOMPS(CO2)\n", + " spp_1, spp_2, spp_3, spp_4 = extract3d(m, m.spp, 'CO2') \n", + "\n", + " spp1 = np.reshape(spp_1,n)\n", + " spp2 = np.reshape(spp_2,n)\n", + " spp3 = np.reshape(spp_3,n)\n", + " spp4 = np.reshape(spp_4,n)\n", + "\n", + " nchemstar_1, nchemstar_2, nchemstar_3, nchemstar_4 = extract3d(m, m.nchemstar,'CO2')\n", + "\n", + " nchemstar1 = np.reshape(nchemstar_1, n)\n", + " nchemstar2 = np.reshape(nchemstar_2, n)\n", + " nchemstar3 = np.reshape(nchemstar_3, n)\n", + " nchemstar4 = np.reshape(nchemstar_4, n)\n", + " \n", + "\n", + " dnchemdt_1, dnchemdt_2, dnchemdt_3, dnchemdt_4 = extract3d(m, m.dnchemdt,'CO2')\n", + " dnchemdt1 = np.reshape(dnchemdt_1, n)\n", + " dnchemdt2 = np.reshape(dnchemdt_2, n)\n", + " dnchemdt3 = np.reshape(dnchemdt_3, n)\n", + " dnchemdt4 = np.reshape(dnchemdt_4, n)\n", + " \n", + "\n", + " nchem_1, nchem_2, nchem_3, nchem_4 = extract3d(m, m.nchem,'CO2')\n", + " nchem1 = np.reshape(nchem_1, n)\n", + " nchem2 = np.reshape(nchem_2, n)\n", + " nchem3 = np.reshape(nchem_3, n)\n", + " nchem4 = np.reshape(nchem_4, n)\n", + "\n", + "\n", + " nphysstar_1, nphysstar_2, nphysstar_3, nphysstar_4 = extract3d(m, m.nphysstar,'CO2')\n", + " nphysstar1 = np.reshape(nphysstar_1, n)\n", + " nphysstar2 = np.reshape(nphysstar_2, n)\n", + " nphysstar3 = np.reshape(nphysstar_3, n)\n", + " nphysstar4 = np.reshape(nphysstar_4, n)\n", + "\n", + " dnphysdt_1, dnphysdt_2, dnphysdt_3, dnphysdt_4 = extract3d(m, m.dnphysdt,'CO2')\n", + " dnphysdt1 = np.reshape(dnphysdt_1, n)\n", + " dnphysdt2 = np.reshape(dnphysdt_2, n)\n", + " dnphysdt3 = np.reshape(dnphysdt_3, n)\n", + " dnphysdt4 = np.reshape(dnphysdt_4, n)\n", + "\n", + " nphys_1, nphys_2, nphys_3, nphys_4 = extract3d(m, m.nphys,'CO2')\n", + " nphys1 = np.reshape(nphys_1, n)\n", + " nphys2 = np.reshape(nphys_2, n)\n", + " nphys3 = np.reshape(nphys_3, n)\n", + " nphys4 = np.reshape(nphys_4, n)\n", + " \n", + " \n", + " if (result.solver.status == SolverStatus.ok) and (result.solver.termination_condition == TerminationCondition.optimal):\n", + " status = 'converged'\n", + " elif (result.solver.termination_condition==TerminationCondition.infeasible):\n", + " status = 'infeasible solution'\n", + " else: \n", + " status = 'other'\n", + " \n", + "\n", + " \n", + " # Meshgrid\n", + " x = []\n", + " for t in m.t:\n", + " x.append(value(t))\n", + " \n", + " y = []\n", + " for z in m.zgrid:\n", + " y.append(value(z))\n", + "\n", + " \n", + " [X,Y] = np.meshgrid(x,y)\n", + " time = np.reshape(X,n)\n", + " space = np.reshape(Y,n)\n", + " \n", + " if m.chemsorb and m.physsorb:\n", + " if m.energy:\n", + " store = pd.DataFrame({'time': time,\n", + " 'position':space,\n", + " #'T_inlet': m.temp_feed,\n", + " #'y_inlet': m.yfeed,\n", + " #'status': 0,\n", + " #'fco2': FCO21, \n", + " 'den_N2': C_N21,\n", + " 'den_CO2': C_CO21,\n", + " 'dcdt_N2':dcdt_N21,\n", + " 'dcdt_CO2':dcdt_CO21,\n", + " 'vel': vel1,\n", + " 'pressure':P1,\n", + " 'temp': T1,\n", + " 'dTdt': dTdt1, \n", + " 'nplin': nplin1, \n", + " 'total_den':total_den1,\n", + " 'solid_pres':spp1,\n", + " 'nchem_eq': nchemstar1,\n", + " 'nphys_eq': nphysstar1,\n", + " 'dndt_chem': dnchemdt1,\n", + " 'dndt_phys': dnphysdt1,\n", + " 'nchem': nchem1,\n", + " 'nphys':nphys1,\n", + " 'fco2_k': FCO22, \n", + " 'den_N2_k': C_N22,\n", + " 'den_CO2_k': C_CO22,\n", + " 'dcdt_N2_k':dcdt_N22,\n", + " 'dcdt_CO2_k':dcdt_CO22,\n", + " 'vel_k': vel2,\n", + " 'pressure_k':P2,\n", + " 'temp_k': T2,\n", + " 'total_den_k':total_den2,\n", + " 'solid_pres_k':spp2,\n", + " 'nchem_eq_k': nchemstar2,\n", + " 'nphys_eq_k': nphysstar2,\n", + " 'dndt_chem_k': dnchemdt2,\n", + " 'dndt_phys_k': dnphysdt2,\n", + " 'nchem_k': nchem2,\n", + " 'nphys_k': nphys2,\n", + " 'fco2_u': FCO23, \n", + " 'den_N2_u': C_N23,\n", + " 'den_CO2_u': C_CO23,\n", + " 'dcdt_N2_u':dcdt_N23,\n", + " 'dcdt_CO2_u':dcdt_CO23,\n", + " 'vel_u': vel3,\n", + " 'pressure_u':P3,\n", + " 'temp_u': T3,\n", + " 'total_den_u':total_den3,\n", + " 'solid_pres_u':spp3,\n", + " 'nchem_eq_u': nchemstar3,\n", + " 'nphys_eq_u': nphysstar3,\n", + " 'dndt_chem_u': dnchemdt3,\n", + " 'dndt_phys_u': dnphysdt3,\n", + " 'nchem_u': nchem3,\n", + " 'nphys_u': nphys3,\n", + " 'fco2_f': FCO24, \n", + " 'den_N2_f': C_N24,\n", + " 'den_CO2_f': C_CO24,\n", + " 'dcdt_N2_f':dcdt_N24,\n", + " 'dcdt_CO2_f':dcdt_CO24,\n", + " 'vel_f': vel4,\n", + " 'pressure_f':P4,\n", + " 'temp_f': T4,\n", + " 'total_den_f':total_den4,\n", + " 'solid_pres_f':spp4,\n", + " 'nchem_eq_f': nchemstar4,\n", + " 'nphys_eq_f': nphysstar4,\n", + " 'dndt_chem_f': dnchemdt4,\n", + " 'dndt_phys_f': dnphysdt4,\n", + " 'nchem_f': nchem4,\n", + " 'nphys_f': nphys4\n", + " })\n", + " \n", + " else:\n", + " # save the arrays into the data frame\n", + " # TODO: add the third set \n", + " store = pd.DataFrame({'time': time,\n", + " 'position':space,\n", + " 'T_inlet': m.temp_feed,\n", + " 'y_inlet': m.yfeed['CO2'],\n", + " 'fco2': FCO21, \n", + " 'den_N2': C_N21,\n", + " 'den_CO2': C_CO21,\n", + " 'dcdt_N2':dcdt_N21,\n", + " 'dcdt_CO2':dcdt_CO21,\n", + " 'vel': vel1,\n", + " 'pressure':P1,\n", + " 'total_den':total_den1,\n", + " 'solid_pres':spp1,\n", + " 'nchem_eq': nchemstar1,\n", + " 'nphys_eq': nphysstar1,\n", + " 'dndt_chem': dnchemdt1,\n", + " 'dndt_phys': dnphysdt1,\n", + " 'nchem': nchem1,\n", + " 'nphys':nphys1,\n", + " 'den_N2_u': C_N22,\n", + " 'den_CO2_u': C_CO22,\n", + " 'dcdt_N2_u':dcdt_N22,\n", + " 'dcdt_CO2_u':dcdt_CO22,\n", + " 'vel_u': vel2,\n", + " 'pressure_u':P2,\n", + " 'total_den_u':total_den2,\n", + " 'solid_pres_u':spp2,\n", + " 'nchem_eq_u': nchemstar2,\n", + " 'nphys_eq_u': nphysstar2,\n", + " 'dndt_chem_u': dnchemdt2,\n", + " 'dndt_phys_u': dnphysdt2,\n", + " 'nchem_u': nchem2,\n", + " 'nphys_u': nphys2\n", + " })\n", + " \n", + " else:\n", + " print('check the adsorption options!!! not a square problem')\n", + " \n", + " return store" ] }, { @@ -884,6 +1025,119 @@ "metadata": {}, "source": [] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Continuous DoE problem" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "NFEt = 68\n", + "time_scale = 3200\n", + "collo = False\n", + "exp_time = time_points(NFEt, time_scale)\n", + "\n", + "T_init = 313.15\n", + "y_init = 0.15\n", + "\n", + "init_point = '20200729_energy.csv'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test = create_model(temp=T_init, temp_bath=313.15, y=y_init, para=212, ua=np.log(5.0E6), opt=True, conti=True, \n", + " optimize_trace=True,diff=1, energy=True)\n", + "add_model(test, exp_time)\n", + "discretize(test, no_points=NFEt)\n", + "initialize(test, init_point)\n", + "result_ = solve_model(test)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def simulator(doe):\n", + " sim = Simulator(doe, package='casadi')\n", + " tsim, profiles = sim.simulate(numpoints=69, integrator='cvodes')\n", + " \n", + "print(value(test.temp_orig))\n", + "print(value(test.yfeed['CO2']))\n", + "print(value(test.obj))\n", + "print(np.log10(-value(test.obj)))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot parmest result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "k_trans = 250.0000015\n", + "init_point = 'T313y15_double.csv'\n", + "\n", + "test = create_model(293.15, 0.4, k_trans, 20000, opt=True, conti=False, diff=0, eps=epsilon, energy=False, isotherm = isotherm_opt, physsorb = physsorb_opt, chemsorb = chemsorb_opt, dispersion = dispersion_opt, fix_pres = fix_pres_opt, v_fix = v_fix_opt)\n", + "add_model(test)\n", + "solve_model(test, init_point)\n", + "\n", + "o29340 = pd.read_csv('293_40_exp.csv')\n", + "\n", + "plt.scatter(o29340.time, o29340.FCO2, label='experimental value')\n", + "\n", + "\n", + "breakthrough_modify3(test,exp)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Four corner analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "tr_range = [106,212,318]\n", + "comp_range = [[293.15, 0.1], [293.15, 0.4], [373.15, 0.1], [373.15, 0.4]]\n", + "init_point = '20200729_energy.csv'\n", + "\n", + "for i in tr_range:\n", + " for j in comp_range:\n", + " print('solve the model where tr is', i,'dv are', j)\n", + " test = create_model(temp=j[0], temp_bath=313.15, y=j[1], para=i, ua=np.log(5.0E6), opt=True, conti=False, diff=0, eps=epsilon, energy=True)\n", + " add_model(test, exp_time)\n", + " #add_obj(test)def extract3(m,result):\n", + " discretize(test, no_points=68)\n", + " initialize(test, init_point)\n", + " results = solve_model(test)\n", + " dataframe = extract3(test, results)\n", + " dataframe.to_csv('T%.0fy%.0f_%.0f.csv'%(j[0], j[1]*100, i))\n", + " " + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/pyomo/contrib/doe/fixed_bed_doe.ipynb b/pyomo/contrib/doe/fixed_bed_doe.ipynb index 0fc20661f7e..2cd3d355199 100644 --- a/pyomo/contrib/doe/fixed_bed_doe.ipynb +++ b/pyomo/contrib/doe/fixed_bed_doe.ipynb @@ -1,28 +1,21 @@ { "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Fixed bed model example\n", - "\n", - "Jialu Wang (jwang44@nd.edu) and Alex Dowling (adowling@nd.edu), University of Notre Dame\n", - "\n", - "This notebook conducts design of experiments for the fixed bed CO$_2$ adsorption experiment. The DoE package is used and the DoE results are shown by heatmaps of three optimalities, A-, D- and E-optimalities. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Model" - ] - }, { "cell_type": "code", "execution_count": 1, + "id": "0bb97843", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", + " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", + " (deprecated in 6.1) (called from :228)\n" + ] + } + ], "source": [ "import matplotlib.pyplot as plt\n", "from pyomo.environ import *\n", @@ -30,12 +23,26 @@ "\n", "import numpy as np\n", "from scipy.interpolate import interp2d\n", - "import pandas as pd" + "import pandas as pd \n", + "from itertools import permutations, product, combinations\n", + "\n", + "from fim_doe import *\n", + "from pyomo.contrib.sensitivity_toolbox.sens import sipopt\n", + "from idaes.apps.uncertainty_propagation.sens import get_dsdp" + ] + }, + { + "cell_type": "markdown", + "id": "d81c188c", + "metadata": {}, + "source": [ + "## Define fixed bed model " ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, + "id": "fc38022e", "metadata": {}, "outputs": [ { @@ -46,69 +53,43 @@ "1 / (1 + exp(-x))\n", "WARNING: DEPRECATED: The pyomo.core.kernel.component_set module is deprecated.\n", " Import ComponentSet from pyomo.common.collections. (deprecated in 5.7.1)\n", - " (called from :228)\n", - "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", - " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", - " (deprecated in 6.1) (called from :228)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:289: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " if diff is 0:\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:291: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif diff is 1:\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:293: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif diff is -1:\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:295: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif diff is 2:\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:305: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " if i is 'base' or 'forward_ua' or 'backward_ua':\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:307: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif i is 'forward_k':\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:309: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif i is 'backward_k':\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:661: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif i is 'forward_ua':\n", - "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:663: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", - " elif i is 'backward_ua':\n" + " (called from :228)\n" ] } ], "source": [ - "import fixed_bed_model_indexed_dynamic as mod\n", - "from fim_doe import * " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define Fixed Bed Model" + "from fixed_bed_model_indexed_dynamic import *" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, + "id": "b7bbb7c3", "metadata": {}, "outputs": [], "source": [ - "# Define the fixed bed model timepoints \n", - "NFEt=68\n", - "#NFEt = 102\n", - "time_scale=3200\n", - "#time_scale = 4800\n", - "collo=False\n", + "# choose from model and k_aug \n", + "model_opt = 'kaug'\n", "\n", - "# a list of timepoints for creating the model\n", - "exp_time = mod.time_points(NFEt, time_scale)" + "if (model_opt == 'doe'):\n", + " args_ = [True, False]\n", + " \n", + "elif (model_opt =='kaug'):\n", + " args_ = [True, True]\n", + " \n", + "\n", + "parameter_dict = {'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", + "\n", + "dv_pass = {'temp_feed': [0], 'temp_bath':[0], 'yfeed': [0]}\n", + "\n", + "measurement = ['FCO2']\n", + "t_measure = [0]\n" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, + "id": "4c5f69a5", "metadata": {}, "outputs": [], "source": [ @@ -119,15 +100,16 @@ " timepoints: the timesteps\n", " time_start: where the timesteps start. For self defined timepoints it's 0. For experimental data it's -10.\n", " '''\n", - " mod.add_variables(doe, timesteps=timepoints, start=time_start)\n", + " add_variables(doe, timesteps=timepoints, start=time_start)\n", " \n", - " mod.add_equations(doe)\n", + " add_equations(doe)\n", " \n", " print ('the number of timepoints is', NFEt)\n", " \n", "def discretize(doe, no_points=68):\n", " '''\n", " no_points: how many time invertals to divide. For self defined timepoints it's 69. For experimental data it's 68. \n", + " here it's 68\n", " '''\n", " if collo:\n", " TransformationFactory('dae.collocation').apply_to(doe, nfe=no_points, ncp=3, scheme='LAGRANGE-RADAU', wrt=doe.t)\n", @@ -146,221 +128,88 @@ " position_max = store['position'].max()\n", " store['position'] = store['position'] / position_max\n", "\n", - " mod.initial_bed_csv(doe, store)\n", - " mod.fix_initial_bed(doe)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "def fixed_bed_run(dv=[313.15, 0.15], param_init = [212, np.log(5.0E6)], init_point='20200729_energy.csv', energy_opt=True):\n", - " '''\n", - " Create model function of fixed bed model specifically \n", + " initial_bed_csv(doe, store)\n", + " fix_initial_bed(doe)\n", " \n", - " init_point: initial solutions\n", - " energy_opt: if the energy balance is toggled on\n", - " '''\n", - " test = mod.create_model(temp=dv[0], temp_bath=313.15, y=dv[1], para=param_init[0], ua=param_init[1], opt=True, conti=False, k_aug=False, diff=0, energy=energy_opt, doe_model=True)\n", - " add_model(test, exp_time)\n", - " discretize(test, no_points=NFEt)\n", - " initialize(test, init_point)\n", - " return test" + "def generate_exp(feed, bath, y):\n", + " dv_dict_overall = {'temp_feed': {0: feed}, 'temp_bath': {0:bath}, 'yfeed': {0, y}}\n", + " return dv_dict_overall" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, + "id": "996a0519", "metadata": {}, "outputs": [], "source": [ - "def fixed_bed_isothermal(dv=[313.15, 0.15], param_init = [212], init_point='20200729_energy.csv', energy_opt=False):\n", - " '''\n", - " Create model function of fixed bed model specifically \n", - " \n", - " init_point: initial solutions\n", - " energy_opt: if the energy balance is toggled on\n", - " '''\n", - " test = mod.create_model(temp=dv[0], temp_bath=313.15, y=dv[1], para=param_init[0], ua=np.log(5.0E6), opt=True, conti=False, k_aug=False, diff=0, energy=energy_opt, doe_model=True)\n", - " add_model(test, exp_time)\n", - " discretize(test, no_points=NFEt)\n", - " initialize(test, init_point)\n", - " return test" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Defines Problem \n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[293.15]\n", - "[0.4]\n" - ] - } - ], - "source": [ - "T_range = [293.15]\n", - "y_range = [0.4]\n", - "#T_range = [293.15, 303.15, 313.15, 323.15, 333.15, 343.15, 353.15, 363.16, 373.15]\n", - "#T_range = [293, 303, 313, 323,333, 343, 353, 363, 373]\n", - "#y_range = [0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4]\n", + "NFEt = 68\n", + "time_scale = 3200\n", + "collo = False\n", + "exp_time = time_points(NFEt, time_scale)\n", "\n", - "print(T_range)\n", - "print(y_range)\n", + "scena_all = {'scena-name': [0], 'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", "\n", - "param_initial_re = {'fitted_transport_coefficient': 212 ,\n", - " 'ua': np.log(5.0E3)}\n", - "\n", - "design_ranges_re = {'temp_orig': T_range,\n", - " 'yfeed': y_range}" + "initialize = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", + "#init_point = '20210916_feed313_bath293.csv'\n", + "#init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/fixed_bed_initial/T353y20_5e3.csv'\n", + "#init_point = '20210916_feed293_bath313_5e4.csv'\n", + "#init_point = 'init_test.csv'\n", + "#init_point = 'T353y20_5e3.csv'" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, + "id": "7c54af3a", "metadata": {}, "outputs": [], "source": [ - "def cut_jac(jaco_sam, add=0):\n", - " if add==0:\n", - " jaco=np.zeros((2,103))\n", - " jaco[0] = jaco_sam['fitted_transport_coefficient'].iloc[:103]\n", - " jaco[1] = jaco_sam['ua'][:103]\n", - " if add==1:\n", - " jaco=np.zeros((2,206))\n", - " jaco[0] = jaco_sam['fitted_transport_coefficient'][:206]\n", - " jaco[1] = jaco_sam['ua'][:206]\n", - " elif add==2:\n", - " jaco=np.zeros((2,206))\n", - " jaco[0][:103] = jaco_sam['fitted_transport_coefficient'][:103]\n", - " jaco[1][:103] = jaco_sam['ua'][:103]\n", - " jaco[0][103:206] = jaco_sam['fitted_transport_coefficient'][206:309]\n", - " jaco[1][103:206] = jaco_sam['ua'][206:309]\n", - "\n", - " return jaco\n", - "\n", - "def cutted_fim(name, option):\n", - " kitty = pd.read_csv(name)\n", - " print(kitty)\n", - " kitty_cut = cut_jac(kitty, add=option)\n", - " jaco_store = pd.DataFrame({'A1': kitty_cut[0],\n", - " 'A2': kitty_cut[1]})\n", - " fim = jaco_store.T@jaco_store\n", - " return fim\n", - " \n", - " " + "def model_integrate(scena, args_list, exp_time=time_discretized, init_point=initialize):\n", + " test = create_model(scena_all, temp_feed=293.15, temp_bath=303.15, y=0.2, doe_model=args_list[0], k_aug=args_list[1], opt=False, diff=0)\n", + " add_model(test, exp_time)\n", + " initialize(test, init_point)\n", + " return test\n" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 5, + "id": "576ab0cb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - " Unnamed: 0 temp_orig yfeed fitted_transport_coefficient ua\n", - "0 0 0 0 0.000000e+00 0.000000e+00\n", - "1 1 0 0 5.093802e-06 -3.181793e-08\n", - "2 2 0 0 2.859918e-05 -1.018305e-07\n", - "3 3 0 0 1.209566e-04 -5.349883e-07\n", - "4 4 0 0 5.350392e-04 -2.378592e-06\n", - ".. ... ... ... ... ...\n", - "304 304 0 0 8.010630e-07 -1.731524e-06\n", - "305 305 0 0 7.037443e-07 -1.501550e-06\n", - "306 306 0 0 6.181864e-07 -1.302124e-06\n", - "307 307 0 0 5.429882e-07 -1.129186e-06\n", - "308 308 0 0 4.769987e-07 -9.791961e-07\n", - "\n", - "[309 rows x 5 columns]\n", - " Unnamed: 0 temp_orig yfeed fitted_transport_coefficient ua\n", - "0 0 0 0 0.000000e+00 0.000000e+00\n", - "1 1 0 0 4.701993e-07 -1.601560e-08\n", - "2 2 0 0 8.295586e-08 -4.081273e-09\n", - "3 3 0 0 1.151587e-06 -7.007071e-09\n", - "4 4 0 0 5.089834e-06 -2.268664e-08\n", - ".. ... ... ... ... ...\n", - "304 304 0 0 1.366828e-06 -3.084031e-06\n", - "305 305 0 0 1.201531e-06 -2.675003e-06\n", - "306 306 0 0 1.056097e-06 -2.320311e-06\n", - "307 307 0 0 9.281905e-07 -2.012737e-06\n", - "308 308 0 0 8.159162e-07 -1.746207e-06\n", - "\n", - "[309 rows x 5 columns]\n", - "The prior information FIM: [[ 3.54263178e-02 -2.38903403e-04]\n", - " [-2.38903403e-04 1.63872389e-06]]\n", - "Eigenvalue of the prior experiments FIM: [3.54279289e-02 2.76368818e-08]\n", - "Eigenvector of the prior experiments FIM: [[-0.00674352 -0.99997726]\n", - " [-0.99997726 0.00674352]]\n" + "The prior information FIM: [[0. 0.]\n", + " [0. 0.]]\n", + "Prior Det: 0.0\n", + "Eigenvalue of the prior experiments FIM: [0. 0.]\n", + "Eigenvalue of the prior experiments FIM: [[1. 0.]\n", + " [0. 1.]]\n" ] } ], "source": [ - "prior_293_40 = cutted_fim('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/jacobian_293_40_102_5e6.csv', 0)\n", - "prior_373_40 = cutted_fim('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/jacobian_373_40_102_5e6.csv',0) \n", + "# empty prior\n", + "prior_all = np.zeros((2,2))\n", "\n", - "prior_all = prior_293_40 + prior_373_40 \n", - "prior_pass=prior_all.to_numpy()\n", + "prior_pass=np.asarray(prior_all)\n", "\n", - "print('The prior information FIM:', prior_pass)\n", - "print('Eigenvalue of the prior experiments FIM:', np.linalg.eigvals(prior_pass))\n", - "print('Eigenvector of the prior experiments FIM:', np.linalg.eigh(prior_pass)[1])" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The prior information FIM: [[ 2.17896149e-02 -1.40959783e-04]\n", - " [-1.40959783e-04 9.20117406e-07]]\n", - "Eigenvalue of the prior experiments FIM: [2.17905267e-02 8.23034696e-09]\n", - "Eigenvector of the prior experiments FIM: [[-0.00646899 -0.99997908]\n", - " [-0.99997908 0.00646899]]\n" - ] - } - ], - "source": [ - "prior_293_40 = pd.read_csv('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/fim_293_40_scale_5e6.csv')\n", - "prior_373_40 = pd.read_csv('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/fim_373_40_scale_5e6.csv') \n", - "\n", - "prior_all = prior_293_40 \n", - "prior_pass=prior_all.to_numpy()\n", + "#L_initials = np.linalg.cholesky(prior_pass)\n", + "#print(L_initials)\n", "\n", "print('The prior information FIM:', prior_pass)\n", + "print('Prior Det:', np.linalg.det(prior_pass))\n", "print('Eigenvalue of the prior experiments FIM:', np.linalg.eigvals(prior_pass))\n", - "print('Eigenvector of the prior experiments FIM:', np.linalg.eigh(prior_pass)[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Compute FIM" + "print('Eigenvalue of the prior experiments FIM:', np.linalg.eigh(prior_pass)[1])" ] }, { "cell_type": "code", "execution_count": null, + "id": "8e447b10", "metadata": {}, "outputs": [], "source": [ @@ -371,232 +220,32 @@ "#sensi_opt = 'sequential_kaug'\n", "#sensi_opt = 'direct_kaug'\n", "\n", - "# Define experiments\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Perform sequential sensitivity analysis" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Decide if pass any prior information\n", - "#exist_info=prior_pass\n", - "exist_info = None\n", - "\n", - "# Decide if scaling \n", - "scale_option=True\n", - "\n", - "save_option='total'" + "# feed, bath, y\n", + "exp1 = generate_exp(313.15, 293.15, 0.15)" ] }, { "cell_type": "code", "execution_count": null, + "id": "74bdefd9", "metadata": {}, "outputs": [], "source": [ - "# create the object\n", - "searcher = DesignOfExperiments(fixed_bed_isothermal, mod.extract_fixed, design_ranges_re, param_initial_re, prior_FIM=exist_info)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "# solve the doe grid search problem \n", - "jaco_in, fim_info = searcher.run_grid_search(scale=scale_option, save_jac=save_option)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print(fim_info)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Generate prior info" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def prior_generate(path, names):\n", - " jaco1 = pd.read_csv(path)\n", - " #jaco1 = jaco[(jaco[self.dv[0]]==0) & (jaco[self.dv[1]]==0)]\n", - " jaco_array = []\n", - " for name in list(param_initial_re.keys()):\n", - " jaco_array.append(list(jaco1[name]))\n", + "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", + " measurement, t_measure, model_integrate,\n", + " prior_FIM=prior_pass, discretize_model=discretize, args=args_)\n", "\n", - " jaco_store = pd.DataFrame({'A1': jaco_array[0],\n", - " 'A2': jaco_array[1]})\n", - " #print(jaco_store)\n", - " #jaco_array = np.asarray(jaco_array)\n", + "if_s = True \n", "\n", + "result = doe_object.compute_FIM(exp1, mode=sensi_opt, FIM_store_name = 'fixed_bed.csv',\n", + " scale_nominal_param_value = if_s, formula='central')\n", "\n", - " fim = jaco_store.T@jaco_store \n", - " fim.to_csv(names,index=False)\n", - " \n", - "prior_generate('jacobian_373_40_102_5e6.csv', 'fim_373_40_102_5e6.csv')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load from Jacobian files" + "if sensi_opt == 'simultaneous_finite':\n", + " result.extract_FIM(doe_object.m, doe_object.design_timeset,\n", + " doe_object.square_result, doe_object.obj_opt)\n", + "else: \n", + " result.calculate_FIM(doe_object.jac, doe_object.design_values)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# for only k\n", - "\n", - "prior_293_40 = [0.02034514]\n", - "prior_293_10 = [0.00078969]\n", - "prior_373_10 = [0.0001321]\n", - "prior_373_40 = [0.00106497]\n", - "\n", - "prior_pass = [prior_373_40[0] + prior_293_40[0]]\n", - "print(prior_pass)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Decide if pass any prior information\n", - "exist_info=prior_pass\n", - "#exist_info = None\n", - "\n", - "# Decide if scaling \n", - "scale_option=True\n", - "\n", - "save_option=None" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def cutting(jaco_sam, add=0):\n", - " if add==0:\n", - " jaco=np.zeros((2,103))\n", - " jaco[0] = jaco_sam[0][:103]\n", - " jaco[1] = jaco_sam[1][:103]\n", - " if add==1:\n", - " jaco=np.zeros((2,206))\n", - " jaco[0] = jaco_sam[0][:206]\n", - " jaco[1] = jaco_sam[1][:206]\n", - " elif add==2:\n", - " jaco=np.zeros((2,206))\n", - " jaco[0][:103] = jaco_sam[0][:103]\n", - " jaco[1][:103] = jaco_sam[1][:103]\n", - " jaco[0][103:206] = jaco_sam[0][206:309]\n", - " jaco[1][103:206] = jaco_sam[1][206:309]\n", - "\n", - " return jaco\n", - "\n", - "def cutting_konly(jaco_sam):\n", - " jaco=np.zeros((1,103))\n", - " jaco[0] = jaco_sam[0][:103]\n", - " \n", - " return jaco" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# First define the searcher object\n", - "searcher = DesignOfExperiments(fixed_bed_run, mod.extract_fixed, design_ranges_re, param_initial_re, prior_FIM=exist_info)\n", - "\n", - "jaco_in, fim_in, dict_jaco = searcher.read_csv(file='/Users/wangjialu/Desktop/final-result/fixed_bed/jacobian_scale_5e6_102.csv', \n", - " visual=True, cut=True, cut_func=cutting)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "print(fim_in)\n", - "\n", - "prior_293_40 = fim_in[(0,6)]\n", - "prior_293_10 = fim_in[(0,0)]\n", - "prior_373_10 = fim_in[(8,0)]\n", - "prior_373_40 = fim_in[(8,6)]\n", - "\n", - "print(prior_293_40)\n", - "print(prior_293_10)\n", - "print(prior_373_10)\n", - "print(prior_373_40)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualize DoE results" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "jaco_in.calculate_criteria(save=True)\n", - "jaco_in.heatmap('DoE for Fixed Bed Model', 'Bed temperature [K]', 'CO\\N{SUBSCRIPT TWO} feed composition [mol %]')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { @@ -619,5 +268,5 @@ } }, "nbformat": 4, - "nbformat_minor": 4 + "nbformat_minor": 5 } diff --git a/pyomo/contrib/doe/fixed_bed_doe_old.ipynb b/pyomo/contrib/doe/fixed_bed_doe_old.ipynb new file mode 100644 index 00000000000..0fc20661f7e --- /dev/null +++ b/pyomo/contrib/doe/fixed_bed_doe_old.ipynb @@ -0,0 +1,623 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Fixed bed model example\n", + "\n", + "Jialu Wang (jwang44@nd.edu) and Alex Dowling (adowling@nd.edu), University of Notre Dame\n", + "\n", + "This notebook conducts design of experiments for the fixed bed CO$_2$ adsorption experiment. The DoE package is used and the DoE results are shown by heatmaps of three optimalities, A-, D- and E-optimalities. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Import Model" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "from pyomo.environ import *\n", + "from pyomo.dae import *\n", + "\n", + "import numpy as np\n", + "from scipy.interpolate import interp2d\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alpha option:\n", + "1 / (1 + exp(-x))\n", + "WARNING: DEPRECATED: The pyomo.core.kernel.component_set module is deprecated.\n", + " Import ComponentSet from pyomo.common.collections. (deprecated in 5.7.1)\n", + " (called from :228)\n", + "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", + " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", + " (deprecated in 6.1) (called from :228)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:289: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " if diff is 0:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:291: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif diff is 1:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:293: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif diff is -1:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:295: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif diff is 2:\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:305: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " if i is 'base' or 'forward_ua' or 'backward_ua':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:307: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'forward_k':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:309: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'backward_k':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:661: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'forward_ua':\n", + "/Users/wangjialu/pyomo/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py:663: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n", + " elif i is 'backward_ua':\n" + ] + } + ], + "source": [ + "import fixed_bed_model_indexed_dynamic as mod\n", + "from fim_doe import * " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define Fixed Bed Model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# Define the fixed bed model timepoints \n", + "NFEt=68\n", + "#NFEt = 102\n", + "time_scale=3200\n", + "#time_scale = 4800\n", + "collo=False\n", + "\n", + "# a list of timepoints for creating the model\n", + "exp_time = mod.time_points(NFEt, time_scale)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def add_model(doe, timepoints, time_start=0):\n", + " '''\n", + " add variables, equations and discretize the model time\n", + " Argument:\n", + " timepoints: the timesteps\n", + " time_start: where the timesteps start. For self defined timepoints it's 0. For experimental data it's -10.\n", + " '''\n", + " mod.add_variables(doe, timesteps=timepoints, start=time_start)\n", + " \n", + " mod.add_equations(doe)\n", + " \n", + " print ('the number of timepoints is', NFEt)\n", + " \n", + "def discretize(doe, no_points=68):\n", + " '''\n", + " no_points: how many time invertals to divide. For self defined timepoints it's 69. For experimental data it's 68. \n", + " '''\n", + " if collo:\n", + " TransformationFactory('dae.collocation').apply_to(doe, nfe=no_points, ncp=3, scheme='LAGRANGE-RADAU', wrt=doe.t)\n", + " else:\n", + " TransformationFactory('dae.finite_difference').apply_to(doe, nfe=no_points, scheme='BACKWARD', wrt=doe.t)\n", + " \n", + " \n", + "def initialize(doe, init_point):\n", + " '''\n", + " Argument: \n", + " init_point: initial point, csv file\n", + " '''\n", + " # Initialize \n", + " print('The init point is', init_point) \n", + " store = pd.read_csv(init_point)\n", + " position_max = store['position'].max()\n", + " store['position'] = store['position'] / position_max\n", + "\n", + " mod.initial_bed_csv(doe, store)\n", + " mod.fix_initial_bed(doe)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def fixed_bed_run(dv=[313.15, 0.15], param_init = [212, np.log(5.0E6)], init_point='20200729_energy.csv', energy_opt=True):\n", + " '''\n", + " Create model function of fixed bed model specifically \n", + " \n", + " init_point: initial solutions\n", + " energy_opt: if the energy balance is toggled on\n", + " '''\n", + " test = mod.create_model(temp=dv[0], temp_bath=313.15, y=dv[1], para=param_init[0], ua=param_init[1], opt=True, conti=False, k_aug=False, diff=0, energy=energy_opt, doe_model=True)\n", + " add_model(test, exp_time)\n", + " discretize(test, no_points=NFEt)\n", + " initialize(test, init_point)\n", + " return test" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def fixed_bed_isothermal(dv=[313.15, 0.15], param_init = [212], init_point='20200729_energy.csv', energy_opt=False):\n", + " '''\n", + " Create model function of fixed bed model specifically \n", + " \n", + " init_point: initial solutions\n", + " energy_opt: if the energy balance is toggled on\n", + " '''\n", + " test = mod.create_model(temp=dv[0], temp_bath=313.15, y=dv[1], para=param_init[0], ua=np.log(5.0E6), opt=True, conti=False, k_aug=False, diff=0, energy=energy_opt, doe_model=True)\n", + " add_model(test, exp_time)\n", + " discretize(test, no_points=NFEt)\n", + " initialize(test, init_point)\n", + " return test" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Defines Problem \n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[293.15]\n", + "[0.4]\n" + ] + } + ], + "source": [ + "T_range = [293.15]\n", + "y_range = [0.4]\n", + "#T_range = [293.15, 303.15, 313.15, 323.15, 333.15, 343.15, 353.15, 363.16, 373.15]\n", + "#T_range = [293, 303, 313, 323,333, 343, 353, 363, 373]\n", + "#y_range = [0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4]\n", + "\n", + "print(T_range)\n", + "print(y_range)\n", + "\n", + "param_initial_re = {'fitted_transport_coefficient': 212 ,\n", + " 'ua': np.log(5.0E3)}\n", + "\n", + "design_ranges_re = {'temp_orig': T_range,\n", + " 'yfeed': y_range}" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def cut_jac(jaco_sam, add=0):\n", + " if add==0:\n", + " jaco=np.zeros((2,103))\n", + " jaco[0] = jaco_sam['fitted_transport_coefficient'].iloc[:103]\n", + " jaco[1] = jaco_sam['ua'][:103]\n", + " if add==1:\n", + " jaco=np.zeros((2,206))\n", + " jaco[0] = jaco_sam['fitted_transport_coefficient'][:206]\n", + " jaco[1] = jaco_sam['ua'][:206]\n", + " elif add==2:\n", + " jaco=np.zeros((2,206))\n", + " jaco[0][:103] = jaco_sam['fitted_transport_coefficient'][:103]\n", + " jaco[1][:103] = jaco_sam['ua'][:103]\n", + " jaco[0][103:206] = jaco_sam['fitted_transport_coefficient'][206:309]\n", + " jaco[1][103:206] = jaco_sam['ua'][206:309]\n", + "\n", + " return jaco\n", + "\n", + "def cutted_fim(name, option):\n", + " kitty = pd.read_csv(name)\n", + " print(kitty)\n", + " kitty_cut = cut_jac(kitty, add=option)\n", + " jaco_store = pd.DataFrame({'A1': kitty_cut[0],\n", + " 'A2': kitty_cut[1]})\n", + " fim = jaco_store.T@jaco_store\n", + " return fim\n", + " \n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Unnamed: 0 temp_orig yfeed fitted_transport_coefficient ua\n", + "0 0 0 0 0.000000e+00 0.000000e+00\n", + "1 1 0 0 5.093802e-06 -3.181793e-08\n", + "2 2 0 0 2.859918e-05 -1.018305e-07\n", + "3 3 0 0 1.209566e-04 -5.349883e-07\n", + "4 4 0 0 5.350392e-04 -2.378592e-06\n", + ".. ... ... ... ... ...\n", + "304 304 0 0 8.010630e-07 -1.731524e-06\n", + "305 305 0 0 7.037443e-07 -1.501550e-06\n", + "306 306 0 0 6.181864e-07 -1.302124e-06\n", + "307 307 0 0 5.429882e-07 -1.129186e-06\n", + "308 308 0 0 4.769987e-07 -9.791961e-07\n", + "\n", + "[309 rows x 5 columns]\n", + " Unnamed: 0 temp_orig yfeed fitted_transport_coefficient ua\n", + "0 0 0 0 0.000000e+00 0.000000e+00\n", + "1 1 0 0 4.701993e-07 -1.601560e-08\n", + "2 2 0 0 8.295586e-08 -4.081273e-09\n", + "3 3 0 0 1.151587e-06 -7.007071e-09\n", + "4 4 0 0 5.089834e-06 -2.268664e-08\n", + ".. ... ... ... ... ...\n", + "304 304 0 0 1.366828e-06 -3.084031e-06\n", + "305 305 0 0 1.201531e-06 -2.675003e-06\n", + "306 306 0 0 1.056097e-06 -2.320311e-06\n", + "307 307 0 0 9.281905e-07 -2.012737e-06\n", + "308 308 0 0 8.159162e-07 -1.746207e-06\n", + "\n", + "[309 rows x 5 columns]\n", + "The prior information FIM: [[ 3.54263178e-02 -2.38903403e-04]\n", + " [-2.38903403e-04 1.63872389e-06]]\n", + "Eigenvalue of the prior experiments FIM: [3.54279289e-02 2.76368818e-08]\n", + "Eigenvector of the prior experiments FIM: [[-0.00674352 -0.99997726]\n", + " [-0.99997726 0.00674352]]\n" + ] + } + ], + "source": [ + "prior_293_40 = cutted_fim('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/jacobian_293_40_102_5e6.csv', 0)\n", + "prior_373_40 = cutted_fim('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/jacobian_373_40_102_5e6.csv',0) \n", + "\n", + "prior_all = prior_293_40 + prior_373_40 \n", + "prior_pass=prior_all.to_numpy()\n", + "\n", + "print('The prior information FIM:', prior_pass)\n", + "print('Eigenvalue of the prior experiments FIM:', np.linalg.eigvals(prior_pass))\n", + "print('Eigenvector of the prior experiments FIM:', np.linalg.eigh(prior_pass)[1])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The prior information FIM: [[ 2.17896149e-02 -1.40959783e-04]\n", + " [-1.40959783e-04 9.20117406e-07]]\n", + "Eigenvalue of the prior experiments FIM: [2.17905267e-02 8.23034696e-09]\n", + "Eigenvector of the prior experiments FIM: [[-0.00646899 -0.99997908]\n", + " [-0.99997908 0.00646899]]\n" + ] + } + ], + "source": [ + "prior_293_40 = pd.read_csv('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/fim_293_40_scale_5e6.csv')\n", + "prior_373_40 = pd.read_csv('/Users/wangjialu/Desktop/final-result-fixed-bed/fixed_bed/fim_373_40_scale_5e6.csv') \n", + "\n", + "prior_all = prior_293_40 \n", + "prior_pass=prior_all.to_numpy()\n", + "\n", + "print('The prior information FIM:', prior_pass)\n", + "print('Eigenvalue of the prior experiments FIM:', np.linalg.eigvals(prior_pass))\n", + "print('Eigenvector of the prior experiments FIM:', np.linalg.eigh(prior_pass)[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Compute FIM" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# choose from 'simultaneous', 'sequential', 'sipopt'\n", + "#sensi_opt = 'simultaneous_finite'\n", + "sensi_opt = 'sequential_finite'\n", + "#sensi_opt = 'sequential_sipopt'\n", + "#sensi_opt = 'sequential_kaug'\n", + "#sensi_opt = 'direct_kaug'\n", + "\n", + "# Define experiments\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Perform sequential sensitivity analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Decide if pass any prior information\n", + "#exist_info=prior_pass\n", + "exist_info = None\n", + "\n", + "# Decide if scaling \n", + "scale_option=True\n", + "\n", + "save_option='total'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# create the object\n", + "searcher = DesignOfExperiments(fixed_bed_isothermal, mod.extract_fixed, design_ranges_re, param_initial_re, prior_FIM=exist_info)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# solve the doe grid search problem \n", + "jaco_in, fim_info = searcher.run_grid_search(scale=scale_option, save_jac=save_option)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(fim_info)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Generate prior info" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def prior_generate(path, names):\n", + " jaco1 = pd.read_csv(path)\n", + " #jaco1 = jaco[(jaco[self.dv[0]]==0) & (jaco[self.dv[1]]==0)]\n", + " jaco_array = []\n", + " for name in list(param_initial_re.keys()):\n", + " jaco_array.append(list(jaco1[name]))\n", + "\n", + " jaco_store = pd.DataFrame({'A1': jaco_array[0],\n", + " 'A2': jaco_array[1]})\n", + " #print(jaco_store)\n", + " #jaco_array = np.asarray(jaco_array)\n", + "\n", + "\n", + " fim = jaco_store.T@jaco_store \n", + " fim.to_csv(names,index=False)\n", + " \n", + "prior_generate('jacobian_373_40_102_5e6.csv', 'fim_373_40_102_5e6.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load from Jacobian files" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# for only k\n", + "\n", + "prior_293_40 = [0.02034514]\n", + "prior_293_10 = [0.00078969]\n", + "prior_373_10 = [0.0001321]\n", + "prior_373_40 = [0.00106497]\n", + "\n", + "prior_pass = [prior_373_40[0] + prior_293_40[0]]\n", + "print(prior_pass)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Decide if pass any prior information\n", + "exist_info=prior_pass\n", + "#exist_info = None\n", + "\n", + "# Decide if scaling \n", + "scale_option=True\n", + "\n", + "save_option=None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def cutting(jaco_sam, add=0):\n", + " if add==0:\n", + " jaco=np.zeros((2,103))\n", + " jaco[0] = jaco_sam[0][:103]\n", + " jaco[1] = jaco_sam[1][:103]\n", + " if add==1:\n", + " jaco=np.zeros((2,206))\n", + " jaco[0] = jaco_sam[0][:206]\n", + " jaco[1] = jaco_sam[1][:206]\n", + " elif add==2:\n", + " jaco=np.zeros((2,206))\n", + " jaco[0][:103] = jaco_sam[0][:103]\n", + " jaco[1][:103] = jaco_sam[1][:103]\n", + " jaco[0][103:206] = jaco_sam[0][206:309]\n", + " jaco[1][103:206] = jaco_sam[1][206:309]\n", + "\n", + " return jaco\n", + "\n", + "def cutting_konly(jaco_sam):\n", + " jaco=np.zeros((1,103))\n", + " jaco[0] = jaco_sam[0][:103]\n", + " \n", + " return jaco" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# First define the searcher object\n", + "searcher = DesignOfExperiments(fixed_bed_run, mod.extract_fixed, design_ranges_re, param_initial_re, prior_FIM=exist_info)\n", + "\n", + "jaco_in, fim_in, dict_jaco = searcher.read_csv(file='/Users/wangjialu/Desktop/final-result/fixed_bed/jacobian_scale_5e6_102.csv', \n", + " visual=True, cut=True, cut_func=cutting)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "print(fim_in)\n", + "\n", + "prior_293_40 = fim_in[(0,6)]\n", + "prior_293_10 = fim_in[(0,0)]\n", + "prior_373_10 = fim_in[(8,0)]\n", + "prior_373_40 = fim_in[(8,6)]\n", + "\n", + "print(prior_293_40)\n", + "print(prior_293_10)\n", + "print(prior_373_10)\n", + "print(prior_373_40)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualize DoE results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "jaco_in.calculate_criteria(save=True)\n", + "jaco_in.heatmap('DoE for Fixed Bed Model', 'Bed temperature [K]', 'CO\\N{SUBSCRIPT TWO} feed composition [mol %]')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py b/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py index d798c5d1f2d..2a55d4a7508 100644 --- a/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py +++ b/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py @@ -196,26 +196,30 @@ temp_base = 298.15 -def create_model(scena, temp_feed=313.15, temp_bath=313.15, y=0.15, para=212, ua=5.0E6, opt = True, conti=False, optimize_trace=True, diff=0, eps=0.01, energy = True, doe_model=True, est_tr=False, est_ua=False, k_aug=False, temp_option=1, isotherm = True, chemsorb = True, physsorb = True, dispersion = False, fix_pres = False, v_fix=False): +def create_model(scena, temp_feed=313.15, temp_bath=313.15, y=0.15, doe_model=True, k_aug=False, opt = False, optimize_trace=True, diff=0, eps=0.01): ''' Creates a concrete Pyomo model and adds sets/parameters. Toggles are saved into the model object. - Arguments: - temp: the gas feed temperature, [K] - temp_bath: the water bathing temperature, [K]. If the energy balance is not included, temp == temp_bath - y: CO2 feed composition, [0,1] - para: the value of fitted_transport_parameter - opt: if true, toggle on the design of experiments objective - conti: if true, make the experiment design decisions (T, yinlet) degrees of freedom - diff: 0: no derivative estimate, 1: forward, -1: backward, 2: central - eps: step size for the finite difference perturbation - energy: decide if energy balance is added to the model - doe_model: if this model is for the DesignOfExperiment.py. if true, k and ua will be defined as variable, not expressions. - est_tr: if transport_coefficient will be estimated - est_ua: if ua will be estimated - k_aug: if this model is created for k_aug solver to get sensitivities - temp_option: 1: Twall=313.15K; 2: Twall=Tinlet; 3(to be added):Tinlet=313.15K, Twall=specified temp. + Arguments: + scena: achieved from DOE package. Containing the parameter values in each scenario and scenario names. + Three design variables: + temp_feed: the gas feed temperature, [K] + temp_bath: the water bathing temperature, [K]. If the energy balance is not included, temp == temp_bath + y: CO2 feed composition, [0,1] + Options: + doe_model: if this model is for DOE package. if True, it is formed as a input-output square model: + objective being 0 + Parameters are defined as Param (... mutable=True) + k_aug: (active when doe_model is True) if this model is for k_aug mode for DOE package. Same as doe_model except that parameters are defined as Var. + Note: this k_aug model can also be used for parameter estimation + opt: Form it as a DOE optimization problem + calculate FIM invasively + objective being trace or det + optimize_trace: if True, optimize trace. if not, optimize det. + diff: 0: no derivative estimate, 1: forward, -1: backward, 2: central + eps: step size for the finite difference perturbation + energy: decide if energy balance is added to the model isotherm: decide if isotherm part is opened. Must open if one of the chemsorb/physsorb is opened. chemsorb: decide if chemical adsorption part is opened to calculate adsorption kinetics physsorb: decide if physical adsorption part is opened to calculate adsorption kinetics @@ -230,33 +234,26 @@ def create_model(scena, temp_feed=313.15, temp_bath=313.15, y=0.15, para=212, ua m = ConcreteModel() # Store model toggles - m.para = para - m.ua_init = ua + m.scena_all = scena + m.doe_model = doe_model + m.k_aug = k_aug m.opt = opt - m.conti = conti m.optimize_trace = optimize_trace m.diff = diff m.eps = eps - m.energy = energy - m.doe_model = doe_model - m.est_tr = est_tr - m.est_ua = est_ua - m.k_aug = k_aug - m.temp_option = temp_option - m.isotherm = isotherm - m.chemsorb = chemsorb - m.physsorb = physsorb - m.dispersion = dispersion - m.fix_pres = fix_pres - m.v_fix = v_fix - m.scena_all = scena + # existing toggles for debugging + m.energy = True + m.isotherm = True + m.chemsorb = True + m.physsorb = True + m.dispersion = False + m.fix_pres = False + m.v_fix = False + + # define scenario m.scena = Set(initialize=scena['scena-name']) - - # If DOE is open, estimation cannot be opened, vice versa - #assert (m.est_tr or m.est_ua) != m.opt, 'Parameter estimation and design of experiment cannot be run simultaneously' - assert m.opt >= m.conti, 'DoE must be opened when continuous DoE is opened' - + # declare components set m.COMPS = Set(initialize=['N2','CO2']) @@ -273,21 +270,9 @@ def create_model(scena, temp_feed=313.15, temp_bath=313.15, y=0.15, para=212, ua if m.doe_model: m.temp_feed = Var(initialize=temp_feed, bounds=(100, 600)) m.temp_bath = Var(initialize=temp_bath, bounds=(274, 600)) - else: - m.temp_feed = temp_feed - m.temp_bath = temp_bath - - print('The inlet gas temperature is ', value(m.temp_feed)) - - if m.conti: - m.yfeed = Var(m.COMPS, initialize=yfeed, bounds=(0.1,0.45), within=NonNegativeReals) - elif m.doe_model: m.yfeed = Var(initialize=y, bounds=(0,1), within=NonNegativeReals) - else: - m.yfeed = Param(m.COMPS, initialize=yfeed) - - + # Film mass transfer coefficient, m/s m.kf = Param(m.COMPS, initialize=k_f) @@ -303,41 +288,27 @@ def create_model(scena, temp_feed=313.15, temp_bath=313.15, y=0.15, para=212, ua # Initial bed N2 concentration at time 0.0 [mol/m3] # LHS: mol/m3 # RHS: [kPa] / ([K] * [kJ/mol/K]) = Pa/(J/mol) = mol/m^3 - m.den_inert = Param(initialize=totp_f*100/(m.temp_bath*RPV)) + m.den_inert = Expression(initialize=totp_f * 100 / (m.temp_bath * RPV)) # Total feed density, [mol/m3] - m.totden_f = Param(initialize=totp_f*100/(m.temp_feed*RPV)) - + m.totden_f = Expression(initialize=totp_f*100/(m.temp_feed*RPV)) + print('The inlet feed density is', value(m.totden_f), '[mol/m3]') - - - - def den_f_rule(m,i): - return m.yfeed[i]*value(m.totden_f) - + def den_f_rule_doe(m,i): if i=='CO2': return m.yfeed*value(m.totden_f) elif i=='N2': return (1-m.yfeed)*value(m.totden_f) - - if m.doe_model: - m.den_f = Expression(m.COMPS, rule=den_f_rule_doe) - else: - m.den_f = Expression(m.COMPS, rule=den_f_rule) + + m.den_f = Expression(m.COMPS, rule=den_f_rule_doe) - # Estimate coefficient for parameter estimation - if not m.est_tr: - if m.doe_model: - m.fitted_transport_coefficient = Param(m.scena, initialize=m.scena_all['fitted_transport_coefficient'], mutable=True) - elif m.k_aug: - m.fitted_transport_coefficient = Var(m.scena, initialize=m.para) - #m.fitted_transport_coefficient.setlb(m.para) - #m.fitted_transport_coefficient.setub(m.para) - else: - m.fitted_transport_coefficient = Expression(m.perturb, rule=perturbations_k) - else: - m.fitted_transport_coefficient = Var(initialize=para,bounds=(100,300)) + # Estimate coefficient for parameter estimation + if ((m.doe_model) and (not m.k_aug)): + m.fitted_transport_coefficient = Param(m.scena, initialize=m.scena_all['fitted_transport_coefficient'], mutable=True) + elif m.k_aug: + m.fitted_transport_coefficient = Var(m.scena, initialize=m.scena_all['fitted_transport_coefficient'], bounds=(100,300)) + # energy balance is added if not m.energy: @@ -563,7 +534,7 @@ def jac_bounds(m, t): ''' return (-1, 1) -def add_variables(m,tf=3600, timesteps=None, start=0): +def add_variables(m,tf=3200, timesteps=None, start=0): ''' Add variables to the Pyomo model using the toggles previously specified. @@ -577,9 +548,6 @@ def add_variables(m,tf=3600, timesteps=None, start=0): Return: None ''' - # Store option - m.dynamic = dynamic - # Time [s] if timesteps is None: m.t = ContinuousSet(bounds=(0,tf)) @@ -614,29 +582,18 @@ def add_variables(m,tf=3600, timesteps=None, start=0): # Temperature [K] if m.energy: - # temperature is initialized to be the T_inlet. As this is the gas temperature, it should be started to be the inlet gas temperature. - #m.temp = Var(m.perturb, m.zgrid, m.t, initialize=value(m.temp_feed), bounds=(273.15,500.15), within=NonNegativeReals) + # temperature is initialized to be the T_inlet. As this is the gas temperature, it should be started to be the inlet gas temperature. m.temp = Var(m.scena, m.zgrid, m.t, initialize=m.temp_bath, bounds=(273.15,500.15), within=NonNegativeReals) - #m.temp = Var(m.perturb, m.zgrid, m.t, initialize=m.temp_water, bounds=(273.15,1000), within=NonNegativeReals) m.dTdt = DerivativeVar(m.temp, wrt=m.t) - - - if not m.est_ua: - # W/m3/K, value 0.2839 from [Dowling, 2012] - # Estimated value 1.4E7 W/m3/K (DOE run2) - # 1.4E4 kW/m3/K --> 1.4E1 W/cm3/K - if m.doe_model: - m.ua = Param(m.scena, initialize=m.scena_all['ua'], mutable=True) - elif m.k_aug: - m.ua = Var(m.scena, initialize=m.ua_init) - #m.ua.setlb(m.ua_init) - #m.ua.setub(m.ua_init) - else: - m.ua = Expression(m.scena, rule=perturbations_ua) - else: - m.ua = Var(initialize=m.ua_init,bounds=(5, 12)) - #m.ua = Var(initialize=m.ua_init, bounds=(10,20)) - + + # W/m3/K, value 0.2839 from [Dowling, 2012] + # Estimated value 1.4E7 W/m3/K (DOE run2) + # 1.4E4 kW/m3/K --> 1.4E1 W/cm3/K + if ((m.doe_model) and (not m.k_aug)): + m.ua = Param(m.scena, initialize=m.scena_all['ua'], mutable=True) + elif m.k_aug: + m.ua = Var(m.scena, initialize=m.scena_all['ua'], bounds=(5, 12)) + # define inv_k_oc, inv_k_op according to perturbation def inv_k_oc_init_en(m, j, z, t): ''' @@ -651,9 +608,9 @@ def inv_k_op_init_en(m, j, z, t): return m.fitted_transport_coefficient[j]+1/(K_p0*exp(-E_p/(RPV*m.temp[j,z,t]) + E_p/(RPV*T0))) # For square problem/optimization problem, parameter, k_oc/p are parameters - if (not m.est_tr) and (not m.k_aug): - m.inv_K_oc = Expression(m.scena, m.zgrid, m.t, rule=inv_k_oc_init_en) - m.inv_K_op = Expression(m.scena, m.zgrid, m.t, rule=inv_k_op_init_en) + #if not m.k_aug: + m.inv_K_oc = Expression(m.scena, m.zgrid, m.t, rule=inv_k_oc_init_en) + m.inv_K_op = Expression(m.scena, m.zgrid, m.t, rule=inv_k_op_init_en) # If not square problem, k_oc/p are defined as parameters variable with temperature, defined in add_model() @@ -941,14 +898,8 @@ def energy_balance(m, j, z, t): duhdz = (m.v[j,z,t]*0.01*h_sum - m.v[j,z-1,t]*0.01*h_sum_back)/dz # LHS: K/s - # RHS: (kg/m3 * kJ/kg/s * 1000J/1kJ - J/m3/s - J/s/m3/K *K)/ (J/m3/K) = K/s - #if m.temp_option==2: - # return m.dTdt[j,z,t] == (den_bed*sum_hdn*1000 - duhdz - exp(m.ua[j])*(m.temp[j,z,t]-m.temp_bath))/dividant - #elif m.temp_option==1: - if m.est_ua or m.k_aug: - return m.dTdt[j,z,t] == (den_b*sum_hdn*1000 - duhdz - exp(m.ua)*(m.temp[j,z,t]-m.temp_bath))/dividant - else: - return m.dTdt[j,z,t] == (den_b*sum_hdn*1000 - duhdz - exp(m.ua[j])*(m.temp[j,z,t]-m.temp_bath))/dividant + # RHS: (kg/m3 * kJ/kg/s * 1000J/1kJ - J/m3/s - J/s/m3/K *K)/ (J/m3/K) = K/s + return m.dTdt[j,z,t] == (den_b*sum_hdn*1000 - duhdz - exp(m.ua[j])*(m.temp[j,z,t]-m.temp_bath))/dividant def dalton(m, j, z, t): ''' @@ -1201,33 +1152,19 @@ def chem_adsorb(m, j, i, z, t): Return: an ODE for chemical adsorption amount [kmol/kg sorbent] ''' - # For parameter estimation, no perturbation index for inv_K_oc - if m.est_tr or m.k_aug: - if m.energy: - return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j,z,t])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) - else: - return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j,z,t])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) - # For DoE, inv_K_oc is indexed with perturbation + if m.energy: + return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j,z,t])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) else: - if m.energy: - return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j,z,t])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) - else: - return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) + return m.dnchemdt[j,i,z,t] == (1/m.inv_K_oc[j])*(m.nchemstar_mod[j,i,z,t] - m.nchem[j,i,z,t]) def phys_adsorb_nonlinear(m, j, i, z, t): ''' Calculate chemical adsorption kinetics without linear pressure part ''' - if m.est_tr or m.k_aug: - #if m.energy: - # return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j,z,t])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) - #else: + if m.energy: return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j,z,t])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) else: - if m.energy: - return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j,z,t])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) - else: - return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) + return m.dnphysdt[j,i,z,t] == (1/m.inv_K_op[j])*(m.nphysstar[j,i,z,t] - m.nphys[j,i,z,t]) def kinetics_para_express(m,j,z,t): ''' @@ -1242,7 +1179,7 @@ def kinetics_para_express(m,j,z,t): ''' # LHS: s; # RHS: (m*m/(1*m*m/s)) + 1/(1/s * 1) if m.energy: - return m.fitted_transport_coefficient + 1/(K_c0*exp(-E_c/(RPV*m.temp[j,z,t]) + E_c/(RPV*T0) + small_bound)) + return m.fitted_transport_coefficient[j] + 1/(K_c0*exp(-E_c/(RPV*m.temp[j,z,t]) + E_c/(RPV*T0) + small_bound)) else: return m.fitted_transport_coefficient + 1/(K_c0*exp(-E_c/(RPV*m.temp) + E_c/(RPV*T0) + small_bound)) @@ -1260,7 +1197,7 @@ def kinetics_para2_express(m,j,z,t): ''' # LHS: s; # RHS: (m*m/(1*m*m/s)) + 1/(1/s * 1) if m.energy: - return m.fitted_transport_coefficient + 1/(K_p0*exp(-E_p/(RPV*m.temp[j,z,t]) + E_p/(RPV*T0)+ small_bound)) + return m.fitted_transport_coefficient[j] + 1/(K_p0*exp(-E_p/(RPV*m.temp[j,z,t]) + E_p/(RPV*T0)+ small_bound)) else: return m.fitted_transport_coefficient + 1/(K_p0*exp(-E_p/(RPV*m.temp) + E_p/(RPV*T0)+ small_bound)) @@ -1401,14 +1338,12 @@ def add_equations(mod): mod.ideal_gas_law = Constraint(mod.scena, mod.zgrid, mod.t, rule=ideal) # measurements - if not mod.k_aug: - mod.FCO2 = Expression(mod.scena, mod.zgrid, mod.t, rule=FCO2_calc) + mod.FCO2 = Expression(mod.scena, mod.zgrid, mod.t, rule=FCO2_calc) - if mod.opt and mod.conti: + if mod.opt: mod.jac = Expression(mod.dv, mod.t, rule=jac_ele) - # add an expression to calculate the Jacobian elements if mod.energy: @@ -1426,33 +1361,36 @@ def add_equations(mod): if not mod.fix_pres: if not mod.v_fix: - mod.ergun_equation = Constraint(mod.perturb, mod.zgrid, mod.t, rule=ergun) + mod.ergun_equation = Constraint(mod.scena, mod.zgrid, mod.t, rule=ergun) if mod.doe_model: - mod.gas_mass_balance = Constraint(mod.perturb, mod.COMPS, mod.zgrid, mod.t, rule = gas_comp_mb_doe) + mod.gas_mass_balance = Constraint(mod.scena, mod.COMPS, mod.zgrid, mod.t, rule = gas_comp_mb_doe) else: - mod.gas_mass_balance = Constraint(mod.perturb, mod.COMPS, mod.zgrid, mod.t, rule = gas_comp_mb) + mod.gas_mass_balance = Constraint(mod.scena, mod.COMPS, mod.zgrid, mod.t, rule = gas_comp_mb) if mod.energy: - mod.energy_balance_law = Constraint(mod.perturb, mod.zgrid, mod.t, rule = energy_balance) + mod.energy_balance_law = Constraint(mod.scena, mod.zgrid, mod.t, rule = energy_balance) - mod.partial_pressure = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=calc_surface_pressure) - mod.chemical_isotherm = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_isotherm) - mod.physical_isotherm = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=phys_isotherm) + mod.partial_pressure = Constraint(mod.scena, mod.SCOMPS, mod.zgrid, mod.t, rule=calc_surface_pressure) + mod.chemical_isotherm = Constraint(mod.scena, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_isotherm) + mod.physical_isotherm = Constraint(mod.scena, mod.SCOMPS, mod.zgrid, mod.t, rule=phys_isotherm) if alpha_variable: - mod.alpha_constraint = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=alpha_calc) + mod.alpha_constraint = Constraint(mod.scena, mod.SCOMPS, mod.zgrid, mod.t, rule=alpha_calc) else: - mod.alpha = Expression(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=alpha_calc) + mod.alpha = Expression(mod.scena, mod.SCOMPS, mod.zgrid, mod.t, rule=alpha_calc) - if mod.est_tr or mod.k_aug: - mod.inv_K_oc = Expression(mod.perturb, mod.zgrid, mod.t, rule=kinetics_para_express) - mod.inv_K_op = Expression(mod.perturb, mod.zgrid, mod.t, rule=kinetics_para2_express) + #if mod.k_aug: + # mod.inv_K_oc = Expression(mod.scena, mod.zgrid, mod.t, rule=kinetics_para_express) + # mod.inv_K_op = Expression(mod.scena, mod.zgrid, mod.t, rule=kinetics_para2_express) - mod.physical_adsorption = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=phys_adsorb_nonlinear) + if mod.k_aug: + mod.obj = Objective(rule=ObjRule_con, sense=minimize) - mod.chemical_isotherm_mod = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_isotherm_mod) - mod.chemical_adsorption = Constraint(mod.perturb, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_adsorb) + mod.physical_adsorption = Constraint(mod.scena, mod.SCOMPS, mod.zgrid, mod.t, rule=phys_adsorb_nonlinear) + + mod.chemical_isotherm_mod = Constraint(mod.scena, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_isotherm_mod) + mod.chemical_adsorption = Constraint(mod.scena, mod.SCOMPS, mod.zgrid, mod.t, rule=chem_adsorb) @@ -1472,7 +1410,7 @@ def fix_initial_bed(m, v_init=2.0): Initialize the bed. Make component density and phys/chem adsorption all over the bed at time0 to be 0.0. ''' - for j in m.perturb: + for j in m.scena: for z in m.zgrid: m.C[j,'CO2',z, m.t0].fix(small_initial) m.v[j,z,m.t0].fix(v_init) @@ -1516,7 +1454,7 @@ def extract2d(m, var): for i,t in enumerate(m.t): for j,z in enumerate(m.zgrid): if m.diff == 0: - D1[j,i] = value(var['base',z,t]) + D1[j,i] = value(var[0,z,t]) elif m.diff == 1: D1[j,i] = value(var['base',z,t]) D2[j,i] = value(var['forward_k',z,t]) @@ -1563,9 +1501,9 @@ def extract3d(m, var, ind): for i,t in enumerate(m.t): for j,z in enumerate(m.zgrid): if m.diff ==0: - D1[j,i] = value(var['base',ind,z,t]) + D1[j,i] = value(var[0,ind,z,t]) elif m.diff ==1: - D1[j,i] = value(var['base',ind,z,t]) + D1[j,i] = value(var[0,ind,z,t]) D2[j,i] = value(var['forward_k',ind,z,t]) D3[j,i] = value(var['forward_ua',ind,z,t]) elif m.diff ==-1: @@ -2389,7 +2327,7 @@ def extract3(m,result): store = pd.DataFrame({'time': time, 'position':space, 'T_inlet': m.temp_feed, - 'y_inlet': m.yfeed['CO2'], + 'y_inlet': m.yfeed, status: 0, 'fco2': FCO21, 'den_N2': C_N21, @@ -2586,7 +2524,7 @@ def initial_bed_csv(m, store_): # Loop for every time and grid nodes - for j in m.perturb: + for j in m.scena: for z in m.zgrid: for i in m.t: z_ = value(z) /(Ngrid) From 7d8c85c4e04397bb3797b5ac67d1a8557659cdb9 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sat, 18 Sep 2021 10:02:00 -0400 Subject: [PATCH 30/42] Temporary changes for using package to fixed bed. --- .../contrib/doe/design_of_exp_brute_v2.ipynb | 279 ++- pyomo/contrib/doe/fim_doe.py | 32 +- pyomo/contrib/doe/fixed_bed_doe.ipynb | 1825 ++++++++++++++++- 3 files changed, 2030 insertions(+), 106 deletions(-) diff --git a/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb b/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb index 4313d26253c..67c40e75cf6 100644 --- a/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb +++ b/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb @@ -9,9 +9,24 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "alpha option:\n", + "1 / (1 + exp(-x))\n", + "WARNING: DEPRECATED: The pyomo.core.kernel.component_set module is deprecated.\n", + " Import ComponentSet from pyomo.common.collections. (deprecated in 5.7.1)\n", + " (called from :228)\n", + "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", + " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", + " (deprecated in 6.1) (called from :228)\n" + ] + } + ], "source": [ "import matplotlib.pyplot as plt\n", "from pyomo.environ import *\n", @@ -260,7 +275,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -284,7 +299,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 9, "metadata": { "scrolled": true }, @@ -293,7 +308,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "The inlet feed density is 38.40726649935368 [mol/m3]\n", "the number of timepoints is 68\n", "The init point is 20210916_feed293_bath313_5e4.csv\n", "Model # of time grid is 69 , initial point # of time grid is 69\n", @@ -329,36 +344,176 @@ " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.35e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (15890364)\n", - "Reallocating memory for MA57: lfact (17926571)\n", - " 1 0.0000000e+00 1.35e+02 1.98e+01 -1.0 1.26e+01 - 6.08e-02 2.98e-03h 1\n", - " 2 0.0000000e+00 1.35e+02 8.10e+04 -1.0 1.26e+01 - 1.12e-01 2.98e-05h 1\n" + " 0 0.0000000e+00 2.79e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (15866590)\n", + "Reallocating memory for MA57: lfact (17891442)\n", + " 1 0.0000000e+00 2.64e+01 2.16e+01 -1.0 5.73e+00 - 8.01e-01 5.24e-02h 1\n", + " 2 0.0000000e+00 2.64e+01 1.86e+04 -1.0 5.43e+00 - 5.50e-01 7.04e-04h 1\n", + " 3r 0.0000000e+00 2.64e+01 1.00e+03 1.4 0.00e+00 - 0.00e+00 4.41e-07R 5\n", + " 4r 0.0000000e+00 6.65e+00 9.98e+02 1.4 2.62e+04 - 1.67e-02 9.96e-04f 1\n", + " 5r 0.0000000e+00 1.17e+00 9.81e+02 0.7 3.59e+02 - 7.81e-03 1.76e-02f 1\n", + " 6r 0.0000000e+00 1.12e+00 9.66e+02 0.7 2.73e+01 - 1.23e-02 2.62e-02f 1\n", + " 7r 0.0000000e+00 1.05e+00 9.34e+02 0.7 5.60e+00 - 3.28e-02 4.33e-02f 1\n", + " 8r 0.0000000e+00 4.13e+00 5.81e+02 0.7 4.61e+00 - 3.76e-01 9.20e-02f 1\n", + " 9r 0.0000000e+00 1.82e+02 1.54e+04 0.7 3.19e+00 - 4.92e-01 5.12e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.09e+02 4.92e+04 0.7 3.26e-01 4.0 8.03e-01 4.79e-01f 1\n", + " 11r 0.0000000e+00 1.02e+02 5.04e+04 0.7 8.95e-01 4.4 6.86e-02 6.85e-02f 1\n", + " 12r 0.0000000e+00 9.78e+01 4.86e+04 0.7 1.30e+00 3.9 2.84e-01 4.33e-02f 1\n", + " 13r 0.0000000e+00 9.23e+01 4.81e+04 0.7 6.36e-01 4.4 4.20e-02 5.82e-02f 1\n", + " 14r 0.0000000e+00 8.33e+01 4.34e+04 0.7 7.25e-01 3.9 1.06e-01 1.01e-01f 1\n", + " 15r 0.0000000e+00 8.14e+01 4.39e+04 0.7 5.60e-01 5.2 2.86e-02 2.39e-02f 1\n", + " 16r 0.0000000e+00 7.31e+01 6.00e+04 0.7 6.14e-01 4.7 7.88e-02 1.06e-01f 1\n", + " 17r 0.0000000e+00 6.96e+01 1.01e+05 0.7 5.48e-01 5.2 4.73e-02 4.86e-02f 1\n", + " 18r 0.0000000e+00 5.97e+01 1.80e+05 0.7 6.11e-01 4.7 7.14e-02 1.51e-01f 1\n", + " 19r 0.0000000e+00 4.82e+01 1.73e+05 0.7 6.93e-01 4.2 1.25e-01 2.09e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 4.80e+01 1.72e+05 0.7 2.08e+00 3.7 3.57e-02 4.35e-03f 1\n", + " 21r 0.0000000e+00 4.35e+01 1.60e+05 0.7 6.40e-01 4.2 1.25e-01 9.69e-02f 1\n", + " 22r 0.0000000e+00 4.30e+01 1.58e+05 0.7 9.31e+00 3.7 1.08e-02 1.28e-02f 1\n", + " 23r 0.0000000e+00 4.02e+01 1.60e+05 0.7 5.04e-01 5.0 7.62e-02 6.70e-02f 1\n", + " 24r 0.0000000e+00 3.15e+01 2.54e+05 0.7 6.24e-01 4.5 8.10e-02 2.38e-01f 1\n", + " 25r 0.0000000e+00 2.76e+01 2.28e+05 0.7 7.05e-01 4.1 1.20e-01 1.31e-01f 1\n", + " 26r 0.0000000e+00 2.31e+01 2.16e+05 0.7 5.90e-01 4.5 1.19e-01 1.75e-01f 1\n", + " 27r 0.0000000e+00 2.15e+01 2.32e+05 0.7 5.83e-01 4.9 6.74e-02 7.28e-02f 1\n", + " 28r 0.0000000e+00 1.76e+01 2.68e+05 0.7 7.05e-01 4.4 1.11e-01 1.97e-01f 1\n", + " 29r 0.0000000e+00 1.33e+01 2.24e+05 0.7 8.18e-01 4.0 4.91e-01 2.76e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.12e+01 2.22e+05 0.7 6.14e-01 4.4 1.85e-01 1.78e-01f 1\n", + " 31r 0.0000000e+00 9.00e+00 1.98e+05 0.7 8.12e-01 3.9 3.41e-01 2.16e-01f 1\n", + " 32r 0.0000000e+00 7.80e+00 1.92e+05 0.7 6.86e-01 4.3 6.97e-02 1.45e-01f 1\n", + " 33r 0.0000000e+00 5.67e+00 1.64e+05 0.7 7.40e-01 3.9 1.42e-01 3.32e-01f 1\n", + " 34r 0.0000000e+00 5.22e+00 1.52e+05 0.7 1.35e+00 3.4 2.52e-01 8.08e-02f 1\n", + " 35r 0.0000000e+00 2.99e+00 1.80e+05 0.7 8.37e-01 3.8 1.68e-01 4.94e-01f 1\n", + " 36r 0.0000000e+00 2.70e+00 1.64e+05 0.7 7.25e-01 3.3 3.94e-01 9.42e-02f 1\n", + " 37r 0.0000000e+00 2.52e+00 1.54e+05 0.7 2.32e+00 2.9 7.09e-01 6.20e-02f 1\n", + " 38r 0.0000000e+00 2.08e+00 1.29e+05 0.7 1.65e+00 2.4 4.81e-01 1.67e-01f 1\n", + " 39r 0.0000000e+00 1.58e+00 1.02e+05 0.7 4.29e-01 2.8 1.00e+00 2.27e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 3.20e-01 1.76e+04 0.7 2.93e-01 2.3 6.92e-01 1.00e+00f 1\n", + " 41r 0.0000000e+00 3.76e-02 1.78e+03 0.7 4.03e-02 3.7 1.00e+00 1.00e+00f 1\n", + " 42r 0.0000000e+00 3.70e-02 2.78e+02 0.7 2.22e-02 3.2 1.00e+00 1.00e+00f 1\n", + " 43r 0.0000000e+00 1.24e+00 2.04e+02 0.7 9.33e-02 2.7 1.00e+00 1.00e+00f 1\n", + " 44r 0.0000000e+00 5.20e-01 3.60e+02 0.0 5.50e-02 3.1 9.81e-01 8.39e-01f 1\n", + " 45r 0.0000000e+00 4.76e-01 1.61e+02 0.0 4.38e-02 3.6 1.00e+00 1.00e+00f 1\n", + " 46r 0.0000000e+00 7.84e-01 4.08e+02 0.0 1.45e-01 3.1 1.00e+00 2.44e-01f 1\n", + " 47r 0.0000000e+00 7.73e-01 3.58e+02 0.0 1.19e-01 2.6 1.00e+00 1.00e+00f 1\n", + " 48r 0.0000000e+00 5.14e+00 1.02e+03 0.0 1.96e-01 3.0 1.00e+00 4.52e-01f 1\n", + " 49r 0.0000000e+00 1.59e+00 6.16e+02 0.0 1.05e-01 2.6 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 6.27e-01 3.26e+02 0.0 8.46e-02 3.0 1.00e+00 6.71e-01f 1\n", + " 51r 0.0000000e+00 1.78e+00 2.14e+02 0.0 6.79e-02 3.4 1.00e+00 1.00e+00f 1\n", + " 52r 0.0000000e+00 8.40e-01 4.44e+02 0.0 1.58e-02 2.9 1.00e+00 4.79e-01f 1\n", + " 53r 0.0000000e+00 1.75e+01 3.90e+02 0.0 1.18e+01 - 1.12e-01 1.20e-01f 1\n", + " 54r 0.0000000e+00 1.03e+01 3.27e+02 0.0 2.74e-01 2.4 4.11e-01 5.19e-01f 1\n", + " 55r 0.0000000e+00 4.13e+00 4.11e+01 0.0 1.71e-01 2.0 1.00e+00 1.00e+00f 1\n", + " 56r 0.0000000e+00 2.81e+00 1.29e+03 -0.7 1.78e+00 1.5 6.86e-01 4.29e-01f 1\n", + " 57r 0.0000000e+00 7.38e+00 9.47e+02 -0.7 2.96e+00 - 5.18e-01 2.85e-01f 1\n", + " 58r 0.0000000e+00 1.32e+00 3.74e+02 -0.7 5.75e-01 1.0 1.00e+00 7.46e-01f 1\n", + " 59r 0.0000000e+00 7.99e-01 3.83e+02 -0.7 2.02e+00 - 1.00e+00 4.54e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 9.52e-01 2.16e+02 -0.7 7.53e-01 - 1.00e+00 6.64e-01f 1\n", + " 61r 0.0000000e+00 3.84e-01 4.19e+02 -0.7 3.35e-01 - 9.10e-01 9.72e-01f 1\n", + " 62r 0.0000000e+00 2.57e-02 3.98e+02 -0.7 7.57e-02 2.3 1.00e+00 1.00e+00f 1\n", + " 63r 0.0000000e+00 1.56e-02 6.17e+02 -0.7 5.80e-01 - 1.00e+00 3.91e-01f 1\n", + " 64r 0.0000000e+00 9.40e-03 2.80e+02 -0.7 7.10e-02 - 1.00e+00 1.00e+00f 1\n", + " 65r 0.0000000e+00 9.41e-03 1.28e+00 -0.7 1.86e-02 - 1.00e+00 1.00e+00h 1\n", + " 66r 0.0000000e+00 6.34e-01 1.80e+02 -2.1 1.51e+00 - 8.89e-01 2.73e-01f 1\n", + " 67r 0.0000000e+00 1.30e+00 1.63e+02 -2.1 1.52e+00 - 9.86e-01 4.12e-01f 1\n", + " 68r 0.0000000e+00 1.30e+00 1.65e+02 -2.1 1.12e+00 - 7.99e-01 4.49e-01f 1\n", + " 69r 0.0000000e+00 1.16e+00 1.76e+02 -2.1 8.62e-01 - 1.00e+00 4.75e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 8.95e-01 1.59e+02 -2.1 7.21e-01 - 7.72e-01 2.98e-01f 1\n", + " 71r 0.0000000e+00 7.16e-01 2.18e+02 -2.1 6.08e-01 - 1.02e-01 4.57e-01f 1\n", + " 72r 0.0000000e+00 5.51e-01 8.95e+01 -2.1 5.17e-01 - 4.43e-01 5.62e-01f 1\n", + " 73r 0.0000000e+00 4.91e-01 1.75e+02 -2.1 4.25e-01 - 2.79e-01 1.27e-01f 1\n", + " 74r 0.0000000e+00 3.61e-01 8.13e+01 -2.1 3.94e-01 - 5.35e-01 4.92e-01f 1\n", + " 75r 0.0000000e+00 3.61e-01 8.12e+01 -2.1 1.77e+01 - 1.34e-03 1.25e-03h 1\n", + " 76r 0.0000000e+00 2.59e-01 6.08e+01 -2.1 3.08e-01 - 4.52e-01 4.15e-01f 1\n", + " 77r 0.0000000e+00 2.25e-01 1.16e+02 -2.1 2.90e-01 - 2.53e-01 1.48e-01f 1\n", + " 78r 0.0000000e+00 1.65e-01 2.85e+02 -2.1 5.33e-02 1.9 1.13e-01 2.65e-01f 1\n", + " 79r 0.0000000e+00 1.56e-01 2.68e+02 -2.1 2.96e-01 - 5.10e-02 5.66e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 1.26e-01 2.28e+02 -2.1 2.80e-01 - 4.60e-01 2.86e-01f 1\n", + " 81r 0.0000000e+00 1.07e-01 1.83e+02 -2.1 2.71e-01 - 2.02e-01 2.13e-01f 1\n", + " 82r 0.0000000e+00 9.44e-02 1.53e+02 -2.1 2.62e-01 - 1.27e-01 2.25e-01f 1\n", + " 83r 0.0000000e+00 9.03e-02 1.45e+02 -2.1 6.41e-01 1.4 5.70e-02 4.39e-02f 1\n", + " 84r 0.0000000e+00 6.32e-02 1.07e+02 -2.1 3.40e-02 1.8 2.69e-01 2.99e-01f 1\n", + " 85r 0.0000000e+00 4.08e-02 8.47e+01 -2.1 6.75e-02 1.3 2.82e-01 3.58e-01f 1\n", + " 86r 0.0000000e+00 2.55e-02 6.37e+01 -2.1 3.82e-02 1.8 3.39e-01 3.77e-01f 1\n", + " 87r 0.0000000e+00 2.11e-02 4.16e+02 -2.1 6.49e-02 1.3 1.00e+00 1.73e-01f 1\n", + " 88r 0.0000000e+00 6.04e-02 3.54e+02 -2.1 8.15e-01 - 1.17e-01 1.45e-01f 1\n", + " 89r 0.0000000e+00 6.02e-02 5.15e+02 -2.1 4.42e+00 - 1.07e-02 2.79e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 6.02e-02 3.55e+02 -2.1 5.46e+00 - 2.29e-03 7.41e-03f 1\n", + " 91r 0.0000000e+00 5.97e-02 2.96e+02 -2.1 3.27e-01 - 1.96e-01 1.71e-01f 1\n", + " 92r 0.0000000e+00 5.90e-02 2.90e+02 -2.1 1.67e+00 - 1.81e-02 1.87e-02f 1\n", + " 93r 0.0000000e+00 5.43e-02 2.53e+02 -2.1 2.31e-01 - 1.40e-01 1.33e-01f 1\n", + " 94r 0.0000000e+00 5.39e-02 2.48e+02 -2.1 2.84e+00 - 7.31e-03 1.07e-02f 1\n", + " 95r 0.0000000e+00 4.98e-02 4.33e+02 -2.1 2.72e-01 - 8.31e-02 1.26e-01f 1\n", + " 96r 0.0000000e+00 2.75e-02 2.27e+02 -2.1 6.52e-02 0.8 4.79e-01 4.77e-01f 1\n", + " 97r 0.0000000e+00 2.75e-02 2.18e+02 -2.1 8.39e-01 - 5.28e-02 3.93e-02f 1\n", + " 98r 0.0000000e+00 2.35e-02 2.01e+02 -2.1 1.37e-01 0.3 2.78e-01 1.94e-01f 1\n", + " 99r 0.0000000e+00 2.48e-02 1.80e+02 -2.1 3.87e-01 - 8.74e-02 1.00e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 2.39e-02 1.77e+02 -2.1 7.00e-01 -0.1 7.51e-02 5.47e-02f 1\n", + " 101r 0.0000000e+00 2.38e-02 1.76e+02 -2.1 3.17e+00 - 1.13e-02 1.00e-02f 1\n", + " 102r 0.0000000e+00 2.49e-02 1.47e+02 -2.1 2.93e-01 - 1.14e-01 1.36e-01f 1\n", + " 103r 0.0000000e+00 2.65e-02 1.33e+02 -2.1 3.87e-01 - 1.15e-01 1.07e-01f 1\n", + " 104r 0.0000000e+00 2.05e-02 7.07e+01 -2.1 1.69e-01 0.3 4.27e-01 4.64e-01f 1\n", + " 105r 0.0000000e+00 2.09e-02 7.02e+01 -2.1 8.82e+00 - 6.78e-03 6.91e-03f 1\n", + " 106r 0.0000000e+00 2.20e-02 1.63e+02 -2.1 5.56e-01 - 6.97e-02 4.72e-02f 1\n", + " 107r 0.0000000e+00 2.27e-02 1.62e+02 -2.1 2.75e+01 - 1.79e-03 1.86e-03f 1\n", + " 108r 0.0000000e+00 2.38e-02 1.44e+02 -2.1 3.07e-01 - 1.11e-01 1.10e-01f 1\n", + " 109r 0.0000000e+00 3.13e-02 1.50e+02 -2.1 1.67e-01 - 5.89e-01 4.69e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 1.15e-02 7.44e+01 -2.1 4.26e-02 - 9.00e-01 7.53e-01f 1\n", + " 111r 0.0000000e+00 1.72e-04 1.59e+01 -2.1 4.12e-03 - 9.75e-01 1.00e+00f 1\n", + " 112r 0.0000000e+00 1.72e-04 3.12e-01 -2.1 4.13e-04 - 1.00e+00 1.00e+00h 1\n", + " 113r 0.0000000e+00 1.45e-02 2.42e+02 -3.1 2.29e-01 - 1.00e+00 3.09e-01f 1\n", + " 114r 0.0000000e+00 1.36e-02 3.59e+02 -3.1 1.06e-01 - 1.00e+00 3.28e-01f 1\n", + " 115r 0.0000000e+00 6.47e-03 1.78e+02 -3.1 3.61e-02 - 1.00e+00 6.76e-01f 1\n", + " 116r 0.0000000e+00 2.17e-04 1.89e-01 -3.1 6.94e-03 - 1.00e+00 1.00e+00f 1\n", + " 117r 0.0000000e+00 1.34e-06 1.11e-02 -3.1 2.34e-04 - 1.00e+00 1.00e+00h 1\n", + " 118r 0.0000000e+00 1.03e-05 3.44e+01 -4.7 2.25e-03 - 1.00e+00 8.06e-01f 1\n", + " 119r 0.0000000e+00 2.25e-06 6.27e+01 -4.7 9.10e-05 - 9.60e-01 7.82e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 7.60e-08 1.20e-03 -4.7 1.56e-04 - 1.00e+00 1.00e+00f 1\n", + " 121r 0.0000000e+00 3.63e-08 7.96e-07 -4.7 1.36e-06 - 1.00e+00 1.00e+00h 1\n", + " 122r 0.0000000e+00 6.94e-09 3.91e+01 -7.0 5.51e-06 - 1.00e+00 7.88e-01f 1\n" ] }, { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_7911/3253280652.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdoe_model_opt\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mk_aug_opt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m \u001b[0mresult_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msolve_model\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_7911/4041685101.py\u001b[0m in \u001b[0;36msolve_model\u001b[0;34m(doe)\u001b[0m\n\u001b[1;32m 52\u001b[0m \u001b[0;31m# solver.options['output_file'] = 'output_upperT%.0fy%.0f.txt'%(T, y*100)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 53\u001b[0m \u001b[0msolver\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'print_level'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 54\u001b[0;31m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msolver\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdoe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtee\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msymbolic_solver_labels\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 55\u001b[0m \u001b[0;31m#doe.load(results)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 56\u001b[0m \u001b[0;31m#if (results.solver.status == SolverStatus.ok) and (results.solver.termination_condition == TerminationCondition.infeasible):\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/opt/base/solvers.py\u001b[0m in \u001b[0;36msolve\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m 576\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_initialize_callbacks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_model\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 577\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 578\u001b[0;31m \u001b[0m_status\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply_solver\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 579\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'_transformation_data'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 580\u001b[0m \u001b[0;32mdel\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_transformation_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/opt/solver/shellcmd.py\u001b[0m in \u001b[0;36m_apply_solver\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstdout\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mflush\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_rc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_log\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_execute_command\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_command\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 252\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstdout\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mflush\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 253\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mBunch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_rc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlog\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_log\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/opt/solver/shellcmd.py\u001b[0m in \u001b[0;36m_execute_command\u001b[0;34m(self, command)\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 318\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mTeeStream\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mostreams\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 319\u001b[0;31m results = subprocess.run(\n\u001b[0m\u001b[1;32m 320\u001b[0m \u001b[0mcommand\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcmd\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 321\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_input\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - 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"\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/subprocess.py\u001b[0m in \u001b[0;36m_wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 1915\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreturncode\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1916\u001b[0m \u001b[0;32mbreak\u001b[0m \u001b[0;31m# Another thread waited.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1917\u001b[0;31m \u001b[0;34m(\u001b[0m\u001b[0mpid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msts\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_try_wait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1918\u001b[0m \u001b[0;31m# Check the pid and loop as waitpid has been known to\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1919\u001b[0m \u001b[0;31m# return 0 even without WNOHANG in odd situations.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/subprocess.py\u001b[0m in \u001b[0;36m_try_wait\u001b[0;34m(self, wait_flags)\u001b[0m\n\u001b[1;32m 1873\u001b[0m \u001b[0;34m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1874\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1875\u001b[0;31m \u001b[0;34m(\u001b[0m\u001b[0mpid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msts\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwaitpid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwait_flags\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1876\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mChildProcessError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1877\u001b[0m \u001b[0;31m# This happens if SIGCLD is set to be ignored or waiting\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Number of Iterations....: 122\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 6.9428373156040508e-09 6.9428373156040508e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 6.9428373156040508e-09 6.9428373156040508e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 128\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 128\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 124\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 122\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 59.763\n", + "Total CPU secs in NLP function evaluations = 6.606\n", + "\n", + "EXIT: Optimal Solution Found.\n" ] } ], "source": [ - "test = create_model(scena_all, temp_feed=293.15, temp_bath=303.15, y=0.2, doe_model=doe_model_opt, k_aug=k_aug_opt, opt=False, diff=0)\n", + "test = create_model(scena_all, temp_feed=313.15, temp_bath=313.15, y=0.15, doe_model=doe_model_opt, k_aug=k_aug_opt, opt=False, diff=0)\n", "add_model(test, exp_time)\n", "#add_obj(test, NFEt, time_scale, file='353_20_5e3_exp.csv', source_opt=\"computer\")\n", "#fix_initial_bed(test)\n", @@ -392,32 +547,19 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 10, + "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[[ 1.00000000e+00 1.16405929e-18]\n", - " [ 3.81638943e-03 4.43432107e-04]\n", - " [ 2.76253407e-03 4.18308772e-04]\n", - " ...\n", - " [-3.04388195e-09 3.66300469e-07]\n", - " [-2.79960729e-09 3.21957599e-07]\n", - " [-2.56943660e-09 2.82973251e-07]]\n" + "0.000199428298248\n" ] } ], "source": [ - "print(dsdp_re.toarray().T)" + "print(value(test.FCO2[0, 0, 0]))" ] }, { @@ -425,6 +567,15 @@ "execution_count": null, "metadata": {}, "outputs": [], + "source": [ + "print(dsdp_re.toarray().T)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], "source": [ "def breakthrough_modify2(m, file=None, source=\"lab\"):\n", " '''\n", @@ -470,10 +621,21 @@ " data_t = np.asarray(data_t1*60+10)\n", " new_data = np.interp(T, data_t, data_c)\n", " \n", + " fco2 = []\n", + " for t in m.t:\n", + " fco2.append(value(m.FCO2[0,19,t]))\n", + " \n", + " yco2 = []\n", + " for i in range(len(fco2)):\n", + " yco2.append(fco2[i]/fco2[-1])\n", + " \n", + " # real value of FCO2. for verification\n", + " comp = outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1])\n", " \n", " plt.plot(exp['time']*60, exp['FCO2'],'b.', color='r', label='Experimental data')\n", - " plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Model prediction')\n", - "\n", + " #plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Model prediction')\n", + " plt.plot(T, yco2, label='Model prediction')\n", + " \n", " plt.xlabel('time [s]')\n", " plt.ylabel('Normalized outlet gas density of CO\\N{SUBSCRIPT TWO} ')\n", " plt.title('Breakthrough curve')\n", @@ -518,9 +680,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_10026/3584945634.py:56: UserWarning: color is redundantly defined by the 'color' keyword argument and the fmt string \"b.\" (-> color='b'). The keyword argument will take precedence.\n", + " plt.plot(exp['time']*60, exp['FCO2'],'b.', color='r', label='Experimental data')\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "breakthrough_modify2(test)" ] diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index 473e90ee3ef..de0fc908a46 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -316,13 +316,14 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No output_record = {} # dict for storing Jacobian jac = {} - + models = [] time_allbuild = [] time_allsolve = [] # loop over each scenario for no_s in (scena_gen.scena_keys): scenario_iter = scena_gen.next_sequential_scenario(no_s) + print('This scenario:', scenario_iter) # create the model # TODO:(long term) add options to create model once and then update. only try this after the # package is completed and unitest is finished @@ -331,6 +332,8 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No time1_build = time.time() time_allbuild.append(time1_build-time0_build) + print('Parameters: ', value(mod.fitted_transport_coefficient[0]), ',', value(mod.ua[0])) + # discretize if needed if self.discretize_model is not None: mod = self.discretize_model(mod) @@ -345,15 +348,18 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No square_result = self.__solve_doe(mod, fix=True) time1_solve = time.time() time_allsolve.append(time1_solve-time0_solve) + models.append(mod) # loop over measurement item and time to store model measurements output_combine = [] for j in self.measurement_variables: for t in self.measurement_timeset: - C_value = eval('mod.' + j + '[0,' + str(t) + ']') + C_value = eval('mod.' + j + '[0,19,' + str(t) + ']') output_combine.append(value(C_value)) output_record[no_s] = output_combine + print('Output this time: ', output_record[no_s]) + # After collecting outputs from all scenarios, calculate sensitivity for para in self.param_name: @@ -385,6 +391,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) # Store the Jacobian information for access by users + self.models = models self.jac = jac FIM_analysis.build_time = sum(time_allbuild) FIM_analysis.solve_time = sum(time_allsolve) @@ -1089,13 +1096,20 @@ def __fix_design(self, m, design_val, fix_opt=True): ''' # loop over the design variables and time index and to fix values specified in design_val for d, dname in enumerate(self.design_name): - for t, time in enumerate(self.design_time[d]): - newvar = eval('m.' + dname + '[' + str(time) + ']') - fix_v = design_val[dname][time] - if fix_opt: - newvar.fix(fix_v) - else: - newvar.unfix() + newvar = eval('m.' + dname) + fix_v = design_val[dname][0] + if fix_opt: + newvar.fix(fix_v) + print(newvar, 'is fixed at ', fix_v) + else: + newvar.unfix() + #for t, time in enumerate(self.design_time[d]): + # newvar = eval('m.' + dname + '[' + str(time) + ']') + # fix_v = design_val[dname][time] + # if fix_opt: + # newvar.fix(fix_v) + # else: + # newvar.unfix() return m def __solve_with_default_ipopt(self): diff --git a/pyomo/contrib/doe/fixed_bed_doe.ipynb b/pyomo/contrib/doe/fixed_bed_doe.ipynb index 2cd3d355199..99d21c86e77 100644 --- a/pyomo/contrib/doe/fixed_bed_doe.ipynb +++ b/pyomo/contrib/doe/fixed_bed_doe.ipynb @@ -3,7 +3,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "0bb97843", + "id": "3bea7016", "metadata": {}, "outputs": [ { @@ -33,7 +33,7 @@ }, { "cell_type": "markdown", - "id": "d81c188c", + "id": "9b7c5fdd", "metadata": {}, "source": [ "## Define fixed bed model " @@ -41,8 +41,8 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "fc38022e", + "execution_count": 2, + "id": "55efbd74", "metadata": {}, "outputs": [ { @@ -63,33 +63,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "b7bbb7c3", - "metadata": {}, - "outputs": [], - "source": [ - "# choose from model and k_aug \n", - "model_opt = 'kaug'\n", - "\n", - "if (model_opt == 'doe'):\n", - " args_ = [True, False]\n", - " \n", - "elif (model_opt =='kaug'):\n", - " args_ = [True, True]\n", - " \n", - "\n", - "parameter_dict = {'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", - "\n", - "dv_pass = {'temp_feed': [0], 'temp_bath':[0], 'yfeed': [0]}\n", - "\n", - "measurement = ['FCO2']\n", - "t_measure = [0]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4c5f69a5", + "execution_count": 3, + "id": "14e627bb", "metadata": {}, "outputs": [], "source": [ @@ -106,7 +81,7 @@ " \n", " print ('the number of timepoints is', NFEt)\n", " \n", - "def discretize(doe, no_points=68):\n", + "def discretize(doe, no_points=68, collo=False):\n", " '''\n", " no_points: how many time invertals to divide. For self defined timepoints it's 69. For experimental data it's 68. \n", " here it's 68\n", @@ -132,25 +107,25 @@ " fix_initial_bed(doe)\n", " \n", "def generate_exp(feed, bath, y):\n", - " dv_dict_overall = {'temp_feed': {0: feed}, 'temp_bath': {0:bath}, 'yfeed': {0, y}}\n", + " dv_dict_overall = {'temp_feed': {0: feed}, 'temp_bath': {0:bath}, 'yfeed': {0: y}}\n", " return dv_dict_overall" ] }, { "cell_type": "code", - "execution_count": null, - "id": "996a0519", + "execution_count": 10, + "id": "7bd5f9b0", "metadata": {}, "outputs": [], "source": [ "NFEt = 68\n", "time_scale = 3200\n", "collo = False\n", - "exp_time = time_points(NFEt, time_scale)\n", + "exp_time_ = time_points(NFEt, time_scale)\n", "\n", "scena_all = {'scena-name': [0], 'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", "\n", - "initialize = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", + "initialize_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", "#init_point = '20210916_feed313_bath293.csv'\n", "#init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/fixed_bed_initial/T353y20_5e3.csv'\n", "#init_point = '20210916_feed293_bath313_5e4.csv'\n", @@ -160,22 +135,48 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "7c54af3a", + "execution_count": 11, + "id": "b101b459", "metadata": {}, "outputs": [], "source": [ - "def model_integrate(scena, args_list, exp_time=time_discretized, init_point=initialize):\n", - " test = create_model(scena_all, temp_feed=293.15, temp_bath=303.15, y=0.2, doe_model=args_list[0], k_aug=args_list[1], opt=False, diff=0)\n", + "def model_integrate(scena, args_list, exp_time=exp_time_, init_point=initialize_point):\n", + " test = create_model(scena, temp_feed=293.15, temp_bath=303.15, y=0.2, doe_model=args_list[0], k_aug=args_list[1], opt=False, diff=0)\n", " add_model(test, exp_time)\n", + " discretize(test)\n", " initialize(test, init_point)\n", " return test\n" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "576ab0cb", + "execution_count": 12, + "id": "cbc4126e", + "metadata": {}, + "outputs": [], + "source": [ + "# choose from model and k_aug \n", + "model_opt = 'doe'\n", + "\n", + "if (model_opt == 'doe'):\n", + " args_ = [True, False]\n", + " \n", + "elif (model_opt =='kaug'):\n", + " args_ = [True, True]\n", + " \n", + "\n", + "parameter_dict = {'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", + "\n", + "dv_pass = {'temp_feed': [0], 'temp_bath':[0], 'yfeed': [0]}\n", + "\n", + "measurement = ['FCO2']\n", + "t_measure = exp_time_\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "efdfdb7b", "metadata": {}, "outputs": [ { @@ -208,8 +209,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "8e447b10", + "execution_count": 14, + "id": "a3e5c000", "metadata": {}, "outputs": [], "source": [ @@ -226,14 +227,1704 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "74bdefd9", + "execution_count": 15, + "id": "91c11cd1", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This scenario: {'fitted_transport_coefficient': {0: 214.12}, 'ua': {0: 15.424948470398375}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.1412, 'ua': 0.15424948470398375}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "Parameters: 214.12 , 15.424948470398375\n", + "temp_feed is fixed at 313.15\n", + "temp_bath is fixed at 293.15\n", + "yfeed is fixed at 0.15\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.14e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (2554295)\n", + " 1 0.0000000e+00 2.14e+02 1.26e+01 -1.0 1.07e+02 - 3.96e-02 2.98e-03h 1\n", + " 2 0.0000000e+00 2.14e+02 7.04e+04 -1.0 1.07e+02 - 1.46e-01 2.98e-05h 1\n", + " 3r 0.0000000e+00 2.14e+02 9.99e+02 2.3 0.00e+00 - 0.00e+00 1.49e-07R 2\n", + " 4r 0.0000000e+00 3.72e+02 1.59e+04 2.3 1.87e+05 - 1.21e-04 7.91e-04f 1\n", + " 5r 0.0000000e+00 1.32e+04 2.02e+06 2.3 9.74e+02 0.0 1.09e-02 2.13e-02f 1\n", + " 6r 0.0000000e+00 1.16e+04 1.08e+06 2.3 2.00e+00 4.9 1.06e-01 1.18e-01f 1\n", + " 7r 0.0000000e+00 1.16e+04 1.07e+06 2.3 2.22e+00 5.4 3.55e-01 5.49e-03h 1\n", + " 8r 0.0000000e+00 1.05e+04 5.78e+05 2.3 2.25e+00 5.8 3.08e-01 5.75e-02h 1\n", + " 9r 0.0000000e+00 1.01e+04 1.98e+06 2.3 2.26e+00 6.2 5.49e-01 2.78e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 8.55e+03 4.03e+06 2.3 2.24e+00 6.6 3.80e-01 6.24e-02h 1\n", + " 11r 0.0000000e+00 7.54e+03 1.76e+07 2.3 2.08e+00 7.1 7.69e-01 5.24e-02h 1\n", + " 12r 0.0000000e+00 6.29e+03 3.29e+07 2.3 2.01e+00 7.5 4.52e-01 7.33e-02h 1\n", + " 13r 0.0000000e+00 5.99e+03 1.50e+08 2.3 1.93e+00 7.9 1.00e+00 3.84e-02h 1\n", + "Reallocating memory for MA57: lfact (2837904)\n", + " 14r 0.0000000e+00 5.30e+03 2.58e+08 2.3 1.86e+00 8.3 5.57e-01 8.17e-02h 1\n", + "Reallocating memory for MA57: lfact (3142900)\n", + " 15r 0.0000000e+00 5.07e+03 9.44e+08 2.3 1.72e+00 8.8 1.00e+00 3.74e-02h 1\n", + " 16r 0.0000000e+00 2.23e+03 1.23e+09 2.3 1.66e+00 8.3 4.92e-01 2.37e-01h 1\n", + " 17r 0.0000000e+00 2.21e+03 1.22e+09 2.3 1.28e+00 8.7 3.42e-01 8.87e-03h 1\n", + " 18r 0.0000000e+00 1.82e+03 1.95e+09 2.3 1.27e+00 9.1 1.00e+00 9.60e-02h 1\n", + "Reallocating memory for MA57: lfact (3444317)\n", + " 19r 0.0000000e+00 6.82e+02 4.46e+10 2.3 1.15e+00 9.6 3.93e-01 2.04e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 6.80e+02 4.45e+10 2.3 9.19e-01 10.0 3.18e-01 2.58e-03h 1\n", + " 21r 0.0000000e+00 6.79e+02 4.44e+10 2.3 9.17e-01 9.5 5.95e-02 2.24e-03h 1\n", + " 22r 0.0000000e+00 6.64e+02 4.35e+10 2.3 9.15e-01 10.0 6.28e-01 1.91e-02h 1\n", + "Reallocating memory for MA57: lfact (5767695)\n", + " 23r 0.0000000e+00 5.58e+02 6.03e+10 2.3 8.98e-01 10.4 3.55e-01 1.19e-01h 1\n", + "Reallocating memory for MA57: lfact (6188373)\n", + " 24r 0.0000000e+00 5.57e+02 6.03e+10 2.3 7.91e-01 10.8 2.79e-01 1.36e-03h 1\n", + "Reallocating memory for MA57: lfact (7515102)\n", + " 25r 0.0000000e+00 5.57e+02 6.59e+10 2.3 8.09e-01 11.2 4.23e-01 4.65e-04h 1\n", + " 26r 0.0000000e+00 5.23e+02 8.08e+10 2.3 8.16e-01 10.8 2.10e-01 6.33e-02h 1\n", + " 27r 0.0000000e+00 4.39e+02 8.58e+10 2.3 7.65e-01 10.3 6.59e-01 1.69e-01h 1\n", + " 28r 0.0000000e+00 4.26e+02 9.16e+10 2.3 7.99e-01 10.7 4.35e-01 3.17e-02h 1\n", + " 29r 0.0000000e+00 4.25e+02 9.15e+10 2.3 1.08e+00 10.2 5.30e-02 9.65e-04h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 4.24e+02 9.13e+10 2.3 8.32e-01 10.6 8.98e-01 2.04e-03h 1\n", + " 31r 0.0000000e+00 4.06e+02 3.63e+12 2.3 4.01e+00 10.2 9.09e-03 4.32e-02h 1\n", + " 32r 0.0000000e+00 3.99e+02 3.56e+12 2.3 8.41e-01 10.6 1.09e-01 1.77e-02h 1\n", + " 33r 0.0000000e+00 3.44e+02 3.06e+12 2.3 8.51e-01 10.1 5.82e-04 1.46e-01h 1\n", + " 34r 0.0000000e+00 3.43e+02 3.06e+12 2.3 1.94e+00 10.5 1.87e-02 1.72e-03h 1\n", + " 35r 0.0000000e+00 3.43e+02 3.06e+12 2.3 7.35e-01 11.0 6.71e-01 2.25e-05h 1\n", + " 36r 0.0000000e+00 3.38e+02 3.01e+12 2.3 9.83e-01 11.4 5.49e-01 1.49e-02h 1\n", + " 37r 0.0000000e+00 3.38e+02 3.01e+12 2.3 9.74e-01 10.9 2.46e-01 1.43e-03h 1\n", + " 38r 0.0000000e+00 3.11e+02 2.77e+12 2.3 9.72e-01 11.3 1.00e+00 8.26e-02h 1\n", + " 39r 0.0000000e+00 2.93e+02 2.61e+12 2.3 9.02e-01 11.8 3.47e-01 5.79e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 2.79e+02 2.49e+12 2.3 9.30e-01 12.2 3.53e-01 4.76e-02h 1\n", + " 41r 0.0000000e+00 2.72e+02 2.43e+12 2.3 9.29e-01 11.7 4.36e-01 2.50e-02h 1\n", + " 42r 0.0000000e+00 2.72e+02 2.43e+12 2.3 9.05e-01 12.1 7.55e-02 3.11e-04h 1\n", + " 43r 0.0000000e+00 2.61e+02 2.33e+12 2.3 9.06e-01 11.7 1.29e-04 4.05e-02h 1\n", + " 44r 0.0000000e+00 2.57e+02 2.29e+12 2.3 8.69e-01 12.1 6.13e-03 1.61e-02h 1\n", + " 45r 0.0000000e+00 2.54e+02 2.27e+12 2.3 8.54e-01 12.5 9.22e-03 1.12e-02h 1\n", + " 46r 0.0000000e+00 2.51e+02 2.23e+12 2.3 8.46e-01 12.0 2.30e-01 1.51e-02f 1\n", + " 47r 0.0000000e+00 2.46e+02 2.20e+12 2.3 8.32e-01 12.5 1.21e-02 1.67e-02h 1\n", + " 48r 0.0000000e+00 2.34e+02 3.09e+12 2.3 9.12e-01 12.0 1.57e-03 5.16e-02h 1\n", + " 49r 0.0000000e+00 2.34e+02 3.09e+12 2.3 1.30e+00 12.4 5.11e-02 5.44e-04h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 2.34e+02 3.09e+12 2.3 8.55e-01 12.8 0.00e+00 4.27e-07R 5\n", + "Reallocating memory for MA57: lfact (7932919)\n", + " 51r 0.0000000e+00 2.34e+02 7.49e+09 2.3 4.75e-10 13.3 9.90e-01 1.00e+00f 1\n", + " 52r 0.0000000e+00 2.34e+02 7.49e+07 2.3 1.43e-09 12.8 9.90e-01 1.00e+00f 1\n", + " 53r 0.0000000e+00 2.34e+02 7.48e+05 2.3 4.28e-09 12.3 9.90e-01 1.00e+00f 1\n", + " 54r 0.0000000e+00 2.34e+02 8.91e+03 2.3 1.28e-08 11.8 9.93e-01 1.00e+00f 1\n", + " 55r 0.0000000e+00 2.34e+02 1.78e+03 1.6 7.69e-09 11.4 1.00e+00 1.00e+00f 1\n", + " 56r 0.0000000e+00 2.34e+02 1.78e+03 1.6 2.31e-08 10.9 1.00e+00 1.00e+00f 1\n", + " 57r 0.0000000e+00 2.34e+02 1.78e+03 1.6 6.93e-08 10.4 1.00e+00 1.00e+00f 1\n", + " 58r 0.0000000e+00 2.34e+02 1.78e+03 1.6 2.08e-07 9.9 1.00e+00 1.00e+00f 1\n", + " 59r 0.0000000e+00 2.34e+02 1.78e+03 1.6 6.23e-07 9.5 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 2.34e+02 1.78e+03 1.6 1.87e-06 9.0 1.00e+00 1.00e+00f 1\n", + " 61r 0.0000000e+00 2.34e+02 1.78e+03 1.6 5.61e-06 8.5 1.00e+00 1.00e+00f 1\n", + " 62r 0.0000000e+00 2.34e+02 1.78e+03 1.6 1.68e-05 8.0 1.00e+00 1.00e+00f 1\n", + " 63r 0.0000000e+00 2.34e+02 1.78e+03 1.6 5.03e-05 7.5 1.00e+00 1.00e+00f 1\n", + " 64r 0.0000000e+00 2.34e+02 1.76e+03 1.6 1.50e-04 7.1 1.00e+00 1.00e+00f 1\n", + " 65r 0.0000000e+00 2.34e+02 1.73e+03 1.6 4.42e-04 6.6 1.00e+00 1.00e+00f 1\n", + " 66r 0.0000000e+00 2.34e+02 1.64e+03 1.6 1.26e-03 6.1 1.00e+00 1.00e+00f 1\n", + " 67r 0.0000000e+00 2.34e+02 1.54e+03 1.6 3.55e-03 5.6 1.00e+00 1.00e+00f 1\n", + " 68r 0.0000000e+00 2.34e+02 1.38e+03 1.6 9.51e-03 5.2 1.00e+00 1.00e+00f 1\n", + " 69r 0.0000000e+00 2.34e+02 1.86e+03 1.6 2.50e-02 4.7 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 2.34e+02 5.82e+03 1.6 6.64e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 71r 0.0000000e+00 2.34e+02 1.54e+03 1.6 2.88e-02 4.6 1.00e+00 1.00e+00f 1\n", + " 72r 0.0000000e+00 2.34e+02 1.20e+04 1.6 6.97e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 73r 0.0000000e+00 2.34e+02 4.03e+03 1.6 3.16e-02 4.6 1.00e+00 1.00e+00f 1\n", + " 74r 0.0000000e+00 2.34e+02 3.67e+03 1.6 8.18e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 75r 0.0000000e+00 2.33e+02 1.48e+04 1.6 2.46e-01 3.6 1.00e+00 9.58e-01f 1\n", + " 76r 0.0000000e+00 2.33e+02 1.39e+04 1.6 1.06e-01 4.1 1.00e+00 8.75e-01f 1\n", + " 77r 0.0000000e+00 2.33e+02 1.94e+04 1.6 2.65e-01 3.6 1.00e+00 1.00e+00f 1\n", + " 78r 0.0000000e+00 2.33e+02 4.36e+05 1.6 1.61e+00 3.1 5.48e-01 5.08e-01f 1\n", + " 79r 0.0000000e+00 2.33e+02 6.74e+04 1.6 5.32e-02 5.3 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 2.33e+02 1.01e+05 1.6 8.20e-02 4.9 1.00e+00 1.00e+00f 1\n", + " 81r 0.0000000e+00 2.33e+02 2.04e+04 1.6 4.19e-02 4.4 1.00e+00 1.00e+00f 1\n", + " 82r 0.0000000e+00 2.32e+02 3.48e+03 1.6 1.26e-01 3.9 1.00e+00 1.00e+00f 1\n", + " 83r 0.0000000e+00 2.32e+02 2.20e+05 1.6 4.89e-01 3.4 1.00e+00 8.92e-01f 1\n", + " 84r 0.0000000e+00 2.32e+02 1.12e+04 1.6 7.32e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 85r 0.0000000e+00 2.32e+02 3.97e+04 1.6 1.31e-01 4.3 1.00e+00 1.00e+00f 1\n", + " 86r 0.0000000e+00 2.32e+02 1.51e+04 1.6 1.59e-01 3.8 1.00e+00 1.00e+00f 1\n", + " 87r 0.0000000e+00 2.31e+02 4.19e+04 1.6 4.77e-01 3.3 9.13e-01 7.41e-01f 1\n", + " 88r 0.0000000e+00 2.31e+02 2.50e+04 1.6 1.50e+00 2.8 1.00e+00 3.57e-01f 1\n", + " 89r 0.0000000e+00 2.31e+02 8.22e+03 1.6 5.37e-01 3.3 1.00e+00 7.19e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 2.30e+02 1.00e+03 1.6 2.01e-01 3.7 1.00e+00 1.00e+00f 1\n", + " 91r 0.0000000e+00 2.30e+02 6.56e+03 0.9 6.04e-01 3.2 1.00e+00 4.58e-01f 1\n", + " 92r 0.0000000e+00 2.30e+02 2.58e+03 0.9 1.81e+00 2.7 1.00e+00 2.55e-01f 1\n", + " 93r 0.0000000e+00 2.29e+02 5.87e+03 0.9 6.79e-01 3.2 1.00e+00 3.72e-01f 1\n", + " 94r 0.0000000e+00 2.29e+02 5.56e+03 0.9 2.55e-01 3.6 1.00e+00 6.03e-01f 1\n", + " 95r 0.0000000e+00 2.29e+02 3.30e+03 0.9 9.55e-02 4.0 1.00e+00 9.62e-01f 1\n", + " 96r 0.0000000e+00 2.29e+02 1.00e+03 0.9 2.87e-01 3.5 1.00e+00 4.48e-01f 1\n", + " 97r 0.0000000e+00 2.29e+02 4.67e+03 0.9 9.66e-01 3.1 1.00e+00 2.37e-01f 1\n", + " 98r 0.0000000e+00 2.28e+02 6.52e+03 0.9 2.80e+00 2.6 1.00e+00 1.61e-01f 1\n", + " 99r 0.0000000e+00 2.28e+02 7.80e+03 0.9 7.74e+00 2.1 8.81e-01 1.16e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 2.27e+02 5.54e+03 0.9 2.90e+00 2.5 1.00e+00 2.19e-01f 1\n", + " 101r 0.0000000e+00 2.26e+02 4.77e+03 0.9 8.71e+00 2.1 7.97e-01 1.44e-01f 1\n", + " 102r 0.0000000e+00 2.25e+02 3.71e+03 0.9 3.26e+00 2.5 1.00e+00 2.20e-01f 1\n", + " 103r 0.0000000e+00 2.23e+02 3.19e+03 0.9 9.79e+00 2.0 2.67e-01 1.42e-01f 1\n", + " 104r 0.0000000e+00 2.23e+02 5.54e+03 0.9 3.67e+00 2.4 1.00e+00 1.29e-01f 1\n", + " 105r 0.0000000e+00 2.23e+02 9.80e+03 0.9 1.38e+00 2.9 1.00e+00 3.63e-01f 1\n", + " 106r 0.0000000e+00 2.22e+02 2.83e+04 0.9 4.13e+00 2.4 1.00e+00 1.87e-01f 1\n", + " 107r 0.0000000e+00 3.30e+03 3.10e+06 0.9 4.16e+01 1.9 1.72e-02 5.99e-02f 1\n", + " 108r 0.0000000e+00 2.99e+03 2.82e+06 0.9 1.18e+00 4.1 8.98e-02 9.67e-02f 1\n", + " 109r 0.0000000e+00 2.27e+03 2.47e+06 0.9 6.76e-01 4.6 2.69e-01 2.68e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 1.68e+03 3.78e+06 0.9 3.80e-01 5.0 4.03e-01 2.89e-01f 1\n", + " 111r 0.0000000e+00 1.04e+03 1.06e+07 0.9 5.96e-01 5.4 1.16e-01 4.41e-01f 1\n", + " 112r 0.0000000e+00 1.00e+03 1.01e+07 0.9 9.54e-01 4.9 2.82e-03 4.13e-02f 1\n", + " 113r 0.0000000e+00 1.00e+03 1.01e+07 0.9 6.90e-01 5.4 8.84e-01 7.81e-04h 1\n", + " 114r 0.0000000e+00 6.77e+02 5.30e+06 0.9 1.34e+00 4.9 1.58e-02 3.73e-01f 1\n", + " 115r 0.0000000e+00 2.21e+02 6.69e+06 0.9 5.53e-01 5.3 8.21e-01 1.00e+00f 1\n", + " 116r 0.0000000e+00 2.21e+02 2.08e+05 0.9 1.77e-01 4.8 9.00e-01 1.00e+00f 1\n", + " 117r 0.0000000e+00 2.21e+02 3.23e+05 0.9 1.18e-01 4.4 1.00e+00 1.00e+00f 1\n", + " 118r 0.0000000e+00 2.21e+02 1.14e+05 0.9 1.43e-01 3.9 1.00e+00 8.88e-01f 1\n", + " 119r 0.0000000e+00 2.21e+02 8.72e+04 0.9 3.93e-01 3.4 1.00e+00 2.86e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 2.20e+02 7.23e+04 0.9 1.18e+00 2.9 1.00e+00 2.18e-01f 1\n", + " 121r 0.0000000e+00 2.20e+02 6.54e+04 0.9 3.53e+00 2.5 1.00e+00 1.48e-01f 1\n", + " 122r 0.0000000e+00 2.19e+02 6.09e+04 0.9 1.06e+01 2.0 3.04e-01 1.04e-01f 1\n", + " 123r 0.0000000e+00 2.17e+02 7.16e+04 0.9 3.98e+00 2.4 1.00e+00 3.60e-01f 1\n", + " 124r 0.0000000e+00 2.17e+02 7.13e+04 0.9 3.21e+00 3.7 5.18e-02 6.92e-02f 1\n", + " 125r 0.0000000e+00 2.17e+02 9.67e+04 0.9 1.68e+00 4.2 3.46e-02 1.00e+00f 1\n", + " 126r 0.0000000e+00 2.17e+02 2.32e+04 0.9 2.10e-01 3.7 8.73e-01 1.00e+00f 1\n", + " 127r 0.0000000e+00 2.16e+02 8.46e+04 0.9 6.87e-01 3.2 5.20e-01 1.00e+00f 1\n", + " 128r 0.0000000e+00 2.16e+02 5.89e+03 0.9 3.34e-02 4.5 1.00e+00 1.00e+00f 1\n", + " 129r 0.0000000e+00 2.16e+02 2.64e+04 0.9 8.85e-02 4.1 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 0.0000000e+00 2.16e+02 4.28e+05 0.9 3.72e-01 3.6 9.20e-01 1.00e+00f 1\n", + " 131r 0.0000000e+00 2.16e+02 1.14e+05 0.9 1.16e-01 4.0 1.00e+00 9.18e-01f 1\n", + " 132r 0.0000000e+00 2.16e+02 2.65e+04 0.9 2.99e-01 3.5 1.00e+00 7.21e-01f 1\n", + " 133r 0.0000000e+00 2.15e+02 6.01e+03 0.9 8.96e-01 3.0 1.00e+00 4.98e-01f 1\n", + " 134r 0.0000000e+00 2.13e+02 1.00e+03 0.9 2.69e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 135r 0.0000000e+00 4.23e+02 5.22e+05 0.9 8.06e+00 2.1 5.19e-01 1.00e+00f 1\n", + " 136r 0.0000000e+00 3.34e+02 4.08e+05 0.9 4.08e-01 4.3 2.40e-01 2.26e-01f 1\n", + " 137r 0.0000000e+00 2.51e+02 3.03e+05 0.9 2.58e-01 4.8 1.24e-01 2.76e-01f 1\n", + " 138r 0.0000000e+00 2.04e+02 1.49e+05 0.9 3.44e-01 4.3 6.21e-01 3.94e-01f 1\n", + " 139r 0.0000000e+00 2.05e+02 2.06e+05 0.9 1.35e-01 4.7 8.86e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 0.0000000e+00 2.05e+02 2.61e+05 0.9 2.95e+00 4.2 1.88e-01 1.01e-01f 1\n", + " 141r 0.0000000e+00 2.05e+02 3.84e+05 0.9 1.70e-01 4.6 8.03e-01 8.94e-01f 1\n", + " 142r 0.0000000e+00 2.05e+02 3.89e+05 0.9 1.01e+00 5.1 4.91e-02 2.39e-02f 1\n", + " 143r 0.0000000e+00 2.05e+02 2.34e+06 0.9 1.16e+00 4.6 5.18e-02 1.30e-01f 1\n", + " 144r 0.0000000e+00 2.05e+02 1.10e+06 0.9 1.02e+00 5.0 4.19e-01 4.59e-01f 1\n", + " 145r 0.0000000e+00 2.05e+02 1.01e+06 0.9 1.01e+00 4.5 2.80e-02 6.66e-02f 1\n", + " 146r 0.0000000e+00 2.05e+02 9.86e+05 0.9 1.06e+00 5.0 4.72e-02 3.40e-02f 1\n", + " 147r 0.0000000e+00 2.05e+02 9.67e+05 0.9 1.05e+00 5.4 6.49e-02 2.75e-02h 1\n", + " 148r 0.0000000e+00 2.05e+02 8.58e+05 0.9 1.10e+00 4.9 6.40e-02 1.14e-01f 1\n", + " 149r 0.0000000e+00 2.05e+02 8.34e+05 0.9 1.03e+00 5.3 1.09e-01 6.11e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r 0.0000000e+00 2.05e+02 1.33e+06 0.9 1.12e+00 5.8 9.25e-02 5.06e-02h 1\n", + " 151r 0.0000000e+00 2.05e+02 1.69e+06 0.9 1.11e+00 6.2 2.16e-03 2.67e-02h 1\n", + " 152r 0.0000000e+00 2.05e+02 1.71e+06 0.9 1.15e+00 6.6 8.27e-03 5.88e-03h 1\n", + " 153r 0.0000000e+00 2.05e+02 1.90e+06 0.9 1.14e+00 7.1 1.09e-02 9.36e-03h 1\n", + " 154r 0.0000000e+00 2.05e+02 5.07e+06 0.9 1.33e+00 6.6 6.09e-03 2.48e-02h 1\n", + " 155r 0.0000000e+00 2.05e+02 5.07e+06 0.9 1.12e+00 7.0 1.52e-02 5.36e-03h 1\n", + " 156r 0.0000000e+00 2.05e+02 5.38e+06 0.9 1.12e+00 7.4 3.05e-02 1.08e-02h 1\n", + " 157r 0.0000000e+00 2.05e+02 1.40e+08 0.9 1.45e+00 6.9 5.03e-03 6.62e-02h 1\n", + " 158r 0.0000000e+00 2.05e+02 1.38e+08 0.9 1.05e+00 7.4 2.45e-02 9.27e-03h 1\n", + " 159r 0.0000000e+00 2.05e+02 1.37e+08 0.9 1.04e+00 7.8 5.51e-02 1.15e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r 0.0000000e+00 2.05e+02 1.35e+08 0.9 1.05e+00 8.2 1.54e-01 1.25e-02h 1\n", + " 161r 0.0000000e+00 2.05e+02 2.63e+08 0.9 3.44e+00 7.8 6.34e-03 2.08e-02h 1\n", + " 162r 0.0000000e+00 2.05e+02 2.59e+08 0.9 1.19e+00 7.3 9.15e-02 1.52e-02h 1\n", + " 163r 0.0000000e+00 2.05e+02 2.52e+08 0.9 1.20e+00 6.8 7.63e-02 2.82e-02h 1\n", + " 164r 0.0000000e+00 2.05e+02 2.41e+08 0.9 1.21e+00 6.3 3.66e-02 4.23e-02h 1\n", + " 165r 0.0000000e+00 2.05e+02 2.37e+08 0.9 1.08e+00 7.6 1.33e-02 1.64e-02h 1\n", + " 166r 0.0000000e+00 2.05e+02 2.34e+08 0.9 1.06e+00 8.1 6.14e-03 1.15e-02h 1\n", + " 167r 0.0000000e+00 2.05e+02 2.80e+09 0.9 2.97e+01 7.6 5.43e-05 5.71e-03f 1\n", + " 168r 0.0000000e+00 2.05e+02 2.67e+09 0.9 1.08e+00 7.1 2.65e-02 4.69e-02h 1\n", + " 169r 0.0000000e+00 2.05e+02 2.66e+09 0.9 9.98e-01 8.4 4.40e-02 2.61e-03h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r 0.0000000e+00 2.05e+02 2.41e+09 0.9 1.00e+00 8.0 4.81e-04 9.76e-02h 1\n", + " 171r 0.0000000e+00 2.05e+02 2.41e+09 0.9 1.21e+00 8.4 1.35e-03 2.10e-03h 1\n", + " 172r 0.0000000e+00 2.05e+02 2.39e+09 0.9 1.20e+00 8.8 2.99e-03 5.48e-03h 1\n", + " 173r 0.0000000e+00 2.05e+02 2.34e+09 0.9 1.20e+00 8.3 3.22e-03 2.09e-02h 1\n", + " 174r 0.0000000e+00 2.05e+02 2.33e+09 0.9 1.17e+00 8.8 1.69e-02 7.52e-03h 1\n", + " 175r 0.0000000e+00 2.05e+02 4.38e+09 0.9 1.16e+00 8.3 7.87e-04 1.94e-01h 1\n", + " 176r 0.0000000e+00 2.05e+02 4.32e+09 0.9 1.85e+00 8.7 1.19e-02 4.43e-03h 1\n", + " 177r 0.0000000e+00 2.05e+02 4.27e+09 0.9 9.69e-01 9.1 4.06e-02 8.24e-03h 1\n", + " 178r 0.0000000e+00 2.05e+02 2.81e+09 0.9 9.61e-01 8.7 2.31e-04 4.66e-02h 1\n", + " 179r 0.0000000e+00 2.05e+02 2.80e+09 0.9 1.26e+00 9.1 1.88e-03 5.66e-04h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r 0.0000000e+00 2.05e+02 2.78e+09 0.9 9.15e-01 9.5 4.25e-05 8.12e-03h 1\n", + " 181r 0.0000000e+00 2.05e+02 6.18e+09 0.9 2.80e+00 9.0 1.13e-03 2.49e-02h 1\n", + " 182r 0.0000000e+00 2.05e+02 6.18e+09 0.9 1.00e+00 9.5 1.87e-03 2.73e-04h 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 183r 0.0000000e+00 2.05e+02 6.18e+09 0.9 9.85e-01 9.9 5.54e-04 2.34e-04h 1\n", + " 184r 0.0000000e+00 2.05e+02 6.16e+09 0.9 1.00e+00 9.4 3.40e-05 3.63e-03f 1\n", + " 185r 0.0000000e+00 2.05e+02 6.15e+09 0.9 9.93e-01 9.8 1.11e-03 9.15e-04h 1\n", + " 186r 0.0000000e+00 2.05e+02 5.87e+09 0.9 1.11e+00 9.4 1.41e-04 3.54e-02h 1\n", + " 187r 0.0000000e+00 2.05e+02 5.86e+09 0.9 1.01e+00 9.8 1.14e-02 1.54e-03h 1\n", + " 188r 0.0000000e+00 2.05e+02 9.04e+09 0.9 1.03e+00 9.3 2.27e-04 8.41e-02h 1\n", + " 189r 0.0000000e+00 2.05e+02 5.10e+09 0.9 5.01e+00 9.7 1.18e-04 5.30e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r 0.0000000e+00 2.05e+02 5.08e+09 0.9 9.43e-01 10.2 1.40e-03 4.71e-03h 1\n", + " 191r 0.0000000e+00 2.05e+02 5.07e+09 0.9 9.39e-01 10.6 1.18e-03 1.51e-03h 1\n", + " 192r 0.0000000e+00 2.05e+02 1.20e+10 0.9 9.39e-01 10.1 7.32e-04 2.73e-02h 1\n", + " 193r 0.0000000e+00 2.05e+02 1.20e+10 0.9 9.13e-01 10.5 3.52e-03 1.59e-03h 1\n", + " 194r 0.0000000e+00 2.05e+02 1.20e+10 0.9 9.11e-01 11.0 5.33e-04 2.47e-03h 1\n", + " 195r 0.0000000e+00 2.05e+02 1.88e+10 0.9 9.10e-01 10.5 2.73e-05 3.10e-02f 1\n", + " 196r 0.0000000e+00 2.05e+02 1.89e+10 0.9 8.79e-01 10.9 3.25e-04 1.18e-03h 1\n", + " 197r 0.0000000e+00 2.05e+02 2.00e+10 0.9 8.87e-01 10.4 6.59e-04 7.40e-03f 1\n", + " 198r 0.0000000e+00 2.05e+02 2.02e+10 0.9 8.71e-01 10.9 4.44e-03 1.93e-03h 1\n", + " 199r 0.0000000e+00 2.05e+02 2.22e+10 0.9 8.68e-01 11.3 4.94e-04 3.30e-03h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200r 0.0000000e+00 2.05e+02 7.39e+10 0.9 9.25e-01 10.8 1.14e-04 3.72e-02f 1\n", + " 201r 0.0000000e+00 2.05e+02 7.40e+10 0.9 1.13e+00 11.2 6.21e-04 1.61e-03h 1\n", + " 202r 0.0000000e+00 2.05e+02 7.42e+10 0.9 1.12e+00 11.7 2.59e-03 1.18e-03h 1\n", + " 203r 0.0000000e+00 2.05e+02 2.01e+11 0.9 1.15e+00 11.2 2.38e-03 3.96e-02h 1\n", + " 204r 0.0000000e+00 2.05e+02 2.00e+11 0.9 1.14e+00 11.6 8.44e-03 3.57e-03h 1\n", + " 205r 0.0000000e+00 2.05e+02 2.01e+11 0.9 1.14e+00 12.0 4.46e-03 5.58e-03h 1\n", + " 206r 0.0000000e+00 2.05e+02 9.69e+11 0.9 1.14e+00 11.6 1.02e-02 6.55e-02h 1\n", + " 207r 0.0000000e+00 2.05e+02 9.52e+11 0.9 1.07e+00 12.0 1.93e-02 1.66e-02h 1\n", + " 208r 0.0000000e+00 2.05e+02 9.42e+11 0.9 1.06e+00 12.4 1.01e-02 2.04e-02h 1\n", + " 209r 0.0000000e+00 2.05e+02 9.60e+11 0.9 1.03e+00 12.8 8.48e-02 1.12e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 210r 0.0000000e+00 2.05e+02 1.28e+15 0.9 1.02e+00 12.4 6.03e-02 4.87e-01h 2\n", + " 211r 0.0000000e+00 2.05e+02 1.28e+15 0.9 5.26e-01 14.6 8.53e-05 3.69e-03h 1\n", + " 212r 0.0000000e+00 2.05e+02 1.26e+15 0.9 5.24e-01 14.1 1.99e-03 1.56e-02h 1\n", + " 213r 0.0000000e+00 2.05e+02 1.25e+15 0.9 5.16e-01 14.5 1.27e-04 7.38e-03h 1\n", + " 214r 0.0000000e+00 2.05e+02 1.16e+15 0.9 5.12e-01 14.1 3.04e-06 7.21e-02f 1\n", + " 215r 0.0000000e+00 2.05e+02 1.15e+15 0.9 4.75e-01 14.5 6.16e-03 6.93e-03h 1\n", + " 216r 0.0000000e+00 2.05e+02 1.14e+15 0.9 4.72e-01 14.9 7.79e-04 6.64e-03h 1\n", + " 217r 0.0000000e+00 2.05e+02 1.91e+15 0.9 4.69e-01 14.4 2.67e-05 1.23e-01f 1\n", + " 218r 0.0000000e+00 2.05e+02 1.89e+15 0.9 4.11e-01 14.9 6.66e-04 7.72e-03h 1\n", + "Reallocating memory for MA57: lfact (8452634)\n", + " 219r 0.0000000e+00 2.05e+02 1.89e+15 0.9 4.08e-01 15.3 6.94e-03 4.12e-03h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 220r 0.0000000e+00 2.05e+02 1.47e+15 0.9 4.06e-01 14.8 7.40e-03 1.93e-01f 1\n", + " 221r 0.0000000e+00 2.05e+02 1.45e+15 0.9 6.44e-01 15.2 1.53e-02 1.91e-02h 1\n", + " 222r 0.0000000e+00 2.05e+02 1.42e+15 0.9 3.16e-01 15.7 2.58e-03 1.84e-02h 1\n", + " 223r 0.0000000e+00 2.05e+02 1.41e+15 0.9 3.10e-01 16.1 4.97e-05 7.48e-03h 1\n", + " 224r 0.0000000e+00 2.05e+02 3.94e+15 0.9 3.01e-01 15.6 5.53e-03 1.29e-01f 1\n", + " 225r 0.0000000e+00 2.05e+02 4.30e+15 0.9 3.92e-01 16.0 3.30e-02 1.03e-02h 1\n", + " 226r 0.0000000e+00 2.05e+02 4.33e+15 0.9 1.51e-01 16.5 1.22e-01 4.80e-03h 1\n", + " 227r 0.0000000e+00 2.05e+02 6.46e+15 0.9 1.38e+00 16.0 2.83e-03 1.79e-04H 1\n", + " 228r 0.0000000e+00 2.05e+02 8.17e+15 0.9 2.57e-01 16.4 2.27e-01 1.94e-01h 1\n", + "In iteration 228, 1 Slack too small, adjusting variable bound\n", + " 229r 0.0000000e+00 2.05e+02 5.73e+16 0.9 2.05e-01 16.8 1.08e-01 2.73e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 230r 0.0000000e+00 2.05e+02 2.96e+17 0.9 1.11e-01 17.3 1.02e-01 1.40e-01h 1\n", + " 231r 0.0000000e+00 2.05e+02 1.76e+17 0.9 6.50e-02 17.7 4.57e-01 1.65e-01h 1\n", + " 232r 0.0000000e+00 2.05e+02 3.52e+18 0.9 3.69e-02 17.2 1.07e-02 1.00e+00f 1\n", + " 233r 0.0000000e+00 2.05e+02 6.28e+17 0.9 2.94e-02 16.7 4.07e-04 1.00e+00f 1\n", + " 234r 0.0000000e+00 2.05e+02 2.23e+16 0.9 5.31e-03 16.3 1.10e-04 1.00e+00f 1\n", + " 235r 0.0000000e+00 2.05e+02 2.66e+15 0.9 1.53e-05 15.8 3.49e-01 1.00e+00f 1\n", + " 236r 0.0000000e+00 2.05e+02 2.66e+13 0.9 4.57e-09 15.3 9.90e-01 1.00e+00f 1\n", + " 237r 0.0000000e+00 2.05e+02 2.66e+11 0.9 9.51e-10 14.8 9.90e-01 1.00e+00f 1\n", + " 238r 0.0000000e+00 2.05e+02 2.66e+09 0.9 1.40e-08 14.4 9.90e-01 1.00e+00f 1\n", + " 239r 0.0000000e+00 2.05e+02 6.24e+07 0.9 8.24e-07 13.9 9.90e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 240r 0.0000000e+00 2.05e+02 3.57e+07 0.9 1.40e-06 13.4 1.00e+00 1.00e+00f 1\n", + " 241r 0.0000000e+00 2.05e+02 7.32e+06 0.9 8.62e-07 12.9 1.00e+00 1.00e+00f 1\n", + " 242r 0.0000000e+00 2.05e+02 4.20e+06 0.9 1.49e-06 12.5 1.00e+00 1.00e+00f 1\n", + " 243r 0.0000000e+00 2.05e+02 1.91e+06 0.9 2.02e-06 12.0 1.00e+00 1.00e+00f 1\n", + " 244r 0.0000000e+00 2.05e+02 1.09e+06 0.9 3.48e-06 11.5 1.00e+00 1.00e+00f 1\n", + " 245r 0.0000000e+00 2.05e+02 5.77e+05 0.9 5.51e-06 11.0 1.00e+00 1.00e+00f 1\n", + " 246r 0.0000000e+00 2.05e+02 3.31e+05 0.9 9.47e-06 10.5 1.00e+00 1.00e+00f 1\n", + " 247r 0.0000000e+00 2.05e+02 1.84e+05 0.9 1.58e-05 10.1 1.00e+00 1.00e+00f 1\n", + " 248r 0.0000000e+00 2.05e+02 1.06e+05 0.9 2.72e-05 9.6 1.00e+00 1.00e+00f 1\n", + " 249r 0.0000000e+00 2.05e+02 6.00e+04 0.9 4.64e-05 9.1 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 250r 0.0000000e+00 2.05e+02 3.43e+04 0.9 7.96e-05 8.6 1.00e+00 1.00e+00f 1\n", + " 251r 0.0000000e+00 2.05e+02 1.95e+04 0.9 1.36e-04 8.2 1.00e+00 1.00e+00f 1\n", + " 252r 0.0000000e+00 2.05e+02 1.10e+04 0.9 2.30e-04 7.7 1.00e+00 1.00e+00f 1\n", + " 253r 0.0000000e+00 2.05e+02 6.15e+03 0.9 3.85e-04 7.2 1.00e+00 1.00e+00f 1\n", + " 254r 0.0000000e+00 2.05e+02 3.35e+03 0.9 6.29e-04 6.7 1.00e+00 1.00e+00f 1\n", + " 255r 0.0000000e+00 2.05e+02 1.74e+03 0.9 9.82e-04 6.2 1.00e+00 1.00e+00f 1\n", + " 256r 0.0000000e+00 2.05e+02 1.32e+03 0.9 2.23e-03 5.8 1.00e+00 1.00e+00f 1\n", + " 257r 0.0000000e+00 2.05e+02 1.24e+03 0.9 6.29e-03 5.3 1.00e+00 1.00e+00f 1\n", + " 258r 0.0000000e+00 2.05e+02 1.26e+03 0.9 1.91e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 259r 0.0000000e+00 2.04e+02 2.71e+05 0.9 7.72e-02 4.3 7.87e-01 9.34e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 260r 0.0000000e+00 2.04e+02 1.53e+05 0.9 1.63e-01 3.9 1.00e+00 4.58e-01f 1\n", + " 261r 0.0000000e+00 2.04e+02 9.78e+04 0.9 4.21e-01 3.4 1.00e+00 3.27e-01f 1\n", + " 262r 0.0000000e+00 2.04e+02 3.87e+04 0.9 1.60e-01 3.8 1.00e+00 5.90e-01f 1\n", + " 263r 0.0000000e+00 2.04e+02 3.28e+04 0.9 7.52e-01 3.3 3.79e-01 1.37e-01f 1\n", + " 264r 0.0000000e+00 2.04e+02 1.10e+04 0.9 1.78e-01 3.8 1.00e+00 5.91e-01f 1\n", + " 265r 0.0000000e+00 2.04e+02 7.11e+03 0.9 5.20e-01 3.3 1.00e+00 2.57e-01f 1\n", + " 266r 0.0000000e+00 2.04e+02 1.75e+03 0.9 1.95e-01 3.7 1.00e+00 5.86e-01f 1\n", + " 267r 0.0000000e+00 2.04e+02 1.28e+03 0.9 5.85e-01 3.2 1.00e+00 4.20e-01f 1\n", + " 268r 0.0000000e+00 2.03e+02 1.13e+03 0.9 2.19e-01 3.7 1.00e+00 3.63e-01f 1\n", + " 269r 0.0000000e+00 2.03e+02 1.00e+03 0.9 6.58e-01 3.2 1.00e+00 3.35e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 270r 0.0000000e+00 2.02e+02 1.00e+03 0.9 1.97e+00 2.7 1.00e+00 3.71e-01f 1\n", + " 271r 0.0000000e+00 2.02e+02 1.28e+03 0.9 7.40e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 272r 0.0000000e+00 1.99e+02 1.00e+03 0.9 2.22e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 273r 0.0000000e+00 1.92e+02 1.78e+05 0.9 6.66e+00 2.2 6.62e-01 1.00e+00f 1\n", + " 274r 0.0000000e+00 1.92e+02 1.31e+05 0.9 1.90e-01 4.4 2.54e-01 2.33e-01f 1\n", + " 275r 0.0000000e+00 1.93e+02 3.76e+04 0.9 2.66e-01 3.9 1.00e+00 1.00e+00f 1\n", + " 276r 0.0000000e+00 1.93e+02 7.44e+04 0.9 1.44e-01 4.4 6.96e-01 7.47e-01f 1\n", + " 277r 0.0000000e+00 1.93e+02 6.98e+05 0.9 2.14e-01 4.8 1.00e+00 1.00e+00f 1\n", + " 278r 0.0000000e+00 1.93e+02 4.93e+05 0.9 1.28e-01 4.3 6.77e-01 1.94e-01f 1\n", + " 279r 0.0000000e+00 1.93e+02 1.70e+05 0.9 2.07e-01 3.8 1.00e+00 4.25e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 280r 0.0000000e+00 1.92e+02 1.21e+05 0.9 6.14e-01 3.4 1.00e+00 5.63e-01f 1\n", + " 281r 0.0000000e+00 1.92e+02 2.99e+05 0.9 1.35e+00 3.8 1.25e-01 1.59e-01f 1\n", + " 282r 0.0000000e+00 1.92e+02 2.58e+05 0.9 7.83e-01 4.2 2.25e-01 1.39e-01f 1\n", + " 283r 0.0000000e+00 1.92e+02 4.21e+05 0.9 4.78e-02 4.6 1.00e+00 1.00e+00f 1\n", + " 284r 0.0000000e+00 1.92e+02 4.73e+04 0.9 1.35e-02 5.1 1.00e+00 1.00e+00f 1\n", + " 285r 0.0000000e+00 1.92e+02 3.47e+03 0.9 2.64e-02 4.6 1.00e+00 1.00e+00f 1\n", + " 286r 0.0000000e+00 1.92e+02 1.00e+03 0.9 7.91e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 287r 0.0000000e+00 1.92e+02 1.00e+03 0.9 2.37e-01 3.6 1.00e+00 1.00e+00f 1\n", + " 288r 0.0000000e+00 1.91e+02 1.00e+03 0.9 7.12e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 289r 0.0000000e+00 1.91e+02 1.00e+03 0.9 2.67e-01 3.6 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 290r 0.0000000e+00 1.90e+02 1.00e+03 0.9 8.01e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 291r 0.0000000e+00 1.89e+02 1.00e+03 0.9 2.40e+00 2.6 1.00e+00 5.24e-01f 1\n", + " 292r 0.0000000e+00 1.88e+02 1.00e+03 0.9 7.21e+00 2.1 7.91e-01 6.12e-02f 1\n", + " 293r 0.0000000e+00 1.88e+02 1.00e+03 0.9 2.70e+00 2.6 1.00e+00 2.90e-01f 1\n", + " 294r 0.0000000e+00 1.87e+02 1.71e+03 0.9 8.11e+00 2.1 2.39e-01 1.14e-01f 1\n", + " 295r 0.0000000e+00 1.86e+02 2.29e+03 0.9 3.04e+00 2.5 1.00e+00 1.37e-01f 1\n", + " 296r 0.0000000e+00 1.86e+02 2.32e+03 0.9 1.14e+00 2.9 1.00e+00 3.77e-01f 1\n", + " 297r 0.0000000e+00 1.85e+02 1.69e+03 0.9 3.42e+00 2.5 1.00e+00 1.94e-01f 1\n", + " 298r 0.0000000e+00 1.85e+02 1.32e+03 0.9 1.28e+00 2.9 1.00e+00 3.02e-01f 1\n", + " 299r 0.0000000e+00 1.84e+02 1.00e+03 0.9 3.85e+00 2.4 1.00e+00 1.77e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 300r 0.0000000e+00 1.84e+02 1.00e+03 0.9 1.44e+00 2.8 1.00e+00 2.86e-01f 1\n", + " 301r 0.0000000e+00 1.83e+02 1.00e+03 0.9 4.33e+00 2.4 1.00e+00 1.71e-01f 1\n", + " 302r 0.0000000e+00 1.83e+02 1.00e+03 0.9 1.62e+00 2.8 1.00e+00 2.79e-01f 1\n", + " 303r 0.0000000e+00 1.82e+02 1.00e+03 0.9 6.09e-01 3.2 1.00e+00 4.33e-01f 1\n", + " 304r 0.0000000e+00 1.82e+02 1.00e+03 0.9 1.83e+00 2.7 1.00e+00 2.93e-01f 1\n", + " 305r 0.0000000e+00 1.82e+02 1.00e+03 0.9 6.85e-01 3.2 1.00e+00 2.58e-01f 1\n", + " 306r 0.0000000e+00 1.81e+02 1.00e+03 0.9 2.06e+00 2.7 9.44e-01 2.14e-01f 1\n", + " 307r 0.0000000e+00 1.80e+02 1.00e+03 0.9 6.17e+00 2.2 1.00e+00 1.21e-01f 1\n", + " 308r 0.0000000e+00 1.80e+02 1.00e+03 0.9 2.31e+00 2.6 1.00e+00 2.49e-01f 1\n", + " 309r 0.0000000e+00 1.79e+02 1.00e+03 0.9 6.94e+00 2.2 4.25e-01 1.52e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 310r 0.0000000e+00 1.78e+02 1.00e+03 0.9 2.60e+00 2.6 1.00e+00 1.74e-01f 1\n", + " 311r 0.0000000e+00 1.78e+02 1.00e+03 0.9 9.75e-01 3.0 1.00e+00 4.16e-01f 1\n", + " 312r 0.0000000e+00 1.78e+02 1.00e+03 0.9 3.66e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 313r 0.0000000e+00 1.77e+02 1.00e+03 0.9 1.10e+00 3.0 1.00e+00 1.96e-01f 1\n", + " 314r 0.0000000e+00 1.77e+02 1.00e+03 0.9 4.12e-01 3.4 1.00e+00 4.62e-01f 1\n", + " 315r 0.0000000e+00 1.76e+02 1.00e+03 0.9 1.23e+00 2.9 1.00e+00 9.24e-01f 1\n", + " 316r 0.0000000e+00 1.76e+02 1.00e+03 0.9 4.63e-01 3.3 1.00e+00 1.76e-01f 1\n", + " 317r 0.0000000e+00 1.76e+02 1.00e+03 0.9 1.39e+00 2.9 1.00e+00 1.74e-01f 1\n", + " 318r 0.0000000e+00 1.75e+02 1.00e+03 0.9 5.21e-01 3.3 1.00e+00 4.12e-01f 1\n", + " 319r 0.0000000e+00 1.75e+02 1.00e+03 0.9 1.56e+00 2.8 1.00e+00 3.37e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 320r 0.0000000e+00 1.74e+02 1.00e+03 0.9 4.69e+00 2.3 1.00e+00 1.86e-01f 1\n", + " 321r 0.0000000e+00 1.74e+02 1.00e+03 0.9 1.76e+00 2.8 1.00e+00 1.97e-01f 1\n", + " 322r 0.0000000e+00 1.73e+02 1.00e+03 0.9 5.27e+00 2.3 1.00e+00 2.18e-01f 1\n", + " 323r 0.0000000e+00 1.72e+02 1.00e+03 0.9 2.47e-01 3.6 1.00e+00 5.06e-01f 1\n", + " 324r 0.0000000e+00 1.72e+02 1.00e+03 0.9 7.42e-01 3.1 1.00e+00 3.70e-01f 1\n", + " 325r 0.0000000e+00 1.72e+02 1.00e+03 0.9 2.22e+00 2.7 1.00e+00 1.67e-01f 1\n", + " 326r 0.0000000e+00 1.71e+02 1.00e+03 0.9 6.67e+00 2.2 1.00e+00 1.37e-01f 1\n", + " 327r 0.0000000e+00 1.70e+02 1.00e+03 0.9 2.50e+00 2.6 1.00e+00 2.59e-01f 1\n", + " 328r 0.0000000e+00 1.70e+02 1.00e+03 0.9 9.39e-01 3.0 1.00e+00 7.32e-01f 1\n", + " 329r 0.0000000e+00 1.69e+02 1.00e+03 0.9 2.82e+00 2.6 1.00e+00 1.44e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 330r 0.0000000e+00 1.69e+02 1.00e+03 0.9 1.06e+00 3.0 1.00e+00 5.89e-01f 1\n", + " 331r 0.0000000e+00 1.68e+02 1.00e+03 0.9 3.96e-01 3.4 1.00e+00 2.56e-01f 1\n", + " 332r 0.0000000e+00 1.68e+02 1.00e+03 0.9 1.19e+00 2.9 1.00e+00 3.57e-01f 1\n", + " 333r 0.0000000e+00 1.68e+02 1.00e+03 0.9 4.45e-01 3.4 1.00e+00 8.09e-01f 1\n", + " 334r 0.0000000e+00 1.67e+02 1.00e+03 0.9 1.34e+00 2.9 1.00e+00 3.48e-01f 1\n", + " 335r 0.0000000e+00 1.67e+02 1.00e+03 0.9 4.01e+00 2.4 1.00e+00 8.71e-02f 1\n", + " 336r 0.0000000e+00 1.66e+02 1.00e+03 0.9 1.50e+00 2.8 1.00e+00 3.21e-01f 1\n", + " 337r 0.0000000e+00 1.66e+02 1.00e+03 0.9 4.51e+00 2.3 1.00e+00 1.65e-01f 1\n", + " 338r 0.0000000e+00 1.65e+02 1.00e+03 0.9 1.69e+00 2.8 1.00e+00 3.02e-01f 1\n", + " 339r 0.0000000e+00 1.65e+02 1.00e+03 0.9 6.34e-01 3.2 1.00e+00 4.10e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 340r 0.0000000e+00 1.64e+02 1.00e+03 0.9 1.90e+00 2.7 1.00e+00 2.32e-01f 1\n", + " 341r 0.0000000e+00 1.64e+02 1.00e+03 0.9 7.14e-01 3.1 1.00e+00 3.44e-01f 1\n", + " 342r 0.0000000e+00 1.64e+02 1.52e+03 0.9 2.14e+00 2.7 1.87e-01 2.07e-01f 1\n", + " 343r 0.0000000e+00 1.62e+02 1.11e+03 0.9 6.42e+00 2.2 1.00e+00 3.39e-01f 1\n", + " 344r 0.0000000e+00 1.59e+02 2.81e+03 0.9 2.41e+00 2.6 2.24e-01 1.00e+00f 1\n", + " 345r 0.0000000e+00 1.58e+02 1.00e+03 0.9 9.03e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 346r 0.0000000e+00 1.58e+02 1.00e+03 0.9 3.39e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 347r 0.0000000e+00 1.57e+02 1.00e+03 0.9 1.02e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 348r 0.0000000e+00 1.54e+02 1.00e+03 0.9 3.05e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 349r 0.0000000e+00 1.53e+02 1.00e+03 0.9 1.14e+00 2.9 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 350r 0.0000000e+00 1.52e+02 1.00e+03 0.9 4.29e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 351r 0.0000000e+00 1.51e+02 1.00e+03 0.9 1.29e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 352r 0.0000000e+00 1.47e+02 1.00e+03 0.9 3.86e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 353r 0.0000000e+00 1.46e+02 1.00e+03 0.9 1.45e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 354r 0.0000000e+00 1.41e+02 1.00e+03 0.9 4.34e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 355r 0.0000000e+00 1.40e+02 1.00e+03 0.9 1.63e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 356r 0.0000000e+00 1.39e+02 1.00e+03 0.9 6.10e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 357r 0.0000000e+00 1.38e+02 1.37e+03 0.9 1.83e+00 2.7 4.97e-01 4.29e-01f 1\n", + " 358r 0.0000000e+00 1.38e+02 1.00e+03 0.9 6.87e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 359r 0.0000000e+00 1.36e+02 1.00e+03 0.9 2.06e+00 2.7 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 360r 0.0000000e+00 1.35e+02 1.00e+03 0.9 7.72e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 361r 0.0000000e+00 1.34e+02 1.00e+03 0.9 2.90e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 362r 0.0000000e+00 1.34e+02 1.00e+03 0.9 8.69e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 363r 0.0000000e+00 1.31e+02 1.00e+03 0.9 2.61e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 364r 0.0000000e+00 1.30e+02 1.00e+03 0.9 9.77e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 365r 0.0000000e+00 1.27e+02 1.00e+03 0.9 2.93e+00 2.5 1.00e+00 1.00e+00f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 366r 0.0000000e+00 1.26e+02 1.00e+03 0.9 1.10e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 367r 0.0000000e+00 1.26e+02 1.00e+03 0.9 4.12e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 368r 0.0000000e+00 1.24e+02 1.00e+03 0.9 1.24e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 369r 0.0000000e+00 1.24e+02 1.00e+03 0.9 4.64e-01 3.3 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 370r 0.0000000e+00 1.23e+02 1.00e+03 0.9 1.39e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 371r 0.0000000e+00 1.22e+02 1.00e+03 0.9 5.22e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 372r 0.0000000e+00 1.20e+02 1.00e+03 0.9 1.57e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 373r 0.0000000e+00 1.20e+02 1.00e+03 0.9 5.87e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 374r 0.0000000e+00 1.18e+02 1.09e+03 0.9 1.76e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 375r 0.0000000e+00 1.17e+02 1.00e+03 0.9 6.61e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 376r 0.0000000e+00 1.16e+02 1.33e+03 0.9 1.98e+00 2.7 7.63e-01 6.83e-01f 1\n", + " 377r 0.0000000e+00 1.15e+02 1.00e+03 0.9 7.43e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 378r 0.0000000e+00 1.14e+02 1.42e+03 0.9 2.23e+00 2.7 4.30e-01 4.33e-01f 1\n", + " 379r 0.0000000e+00 1.14e+02 1.00e+03 0.9 8.36e-01 3.1 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 380r 0.0000000e+00 1.13e+02 1.24e+03 0.9 2.51e+00 2.6 3.95e-01 3.59e-01f 1\n", + " 381r 0.0000000e+00 1.12e+02 1.00e+03 0.9 9.40e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 382r 0.0000000e+00 1.11e+02 1.00e+03 0.9 3.53e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 383r 0.0000000e+00 1.10e+02 1.00e+03 0.9 1.06e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 384r 0.0000000e+00 1.10e+02 1.00e+03 0.9 3.97e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 385r 0.0000000e+00 1.09e+02 1.00e+03 0.9 1.19e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 386r 0.0000000e+00 1.08e+02 1.00e+03 0.9 4.46e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 387r 0.0000000e+00 1.07e+02 1.00e+03 0.9 1.34e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 388r 0.0000000e+00 1.06e+02 1.00e+03 0.9 5.02e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 389r 0.0000000e+00 1.05e+02 1.00e+03 0.9 1.51e+00 2.8 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 390r 0.0000000e+00 1.04e+02 1.00e+03 0.9 5.65e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 391r 0.0000000e+00 1.03e+02 1.00e+03 0.9 1.69e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 392r 0.0000000e+00 1.02e+02 1.00e+03 0.9 6.36e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 393r 0.0000000e+00 1.00e+02 1.00e+03 0.9 1.91e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 394r 0.0000000e+00 9.94e+01 1.00e+03 0.9 7.15e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 395r 0.0000000e+00 9.72e+01 1.00e+03 0.9 2.14e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 396r 0.0000000e+00 9.64e+01 1.00e+03 0.9 8.04e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 397r 0.0000000e+00 9.40e+01 1.00e+03 0.9 2.41e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 398r 0.0000000e+00 9.31e+01 1.00e+03 0.9 9.05e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 399r 0.0000000e+00 9.19e+01 1.41e+03 0.9 2.71e+00 2.6 3.99e-01 4.32e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 400r 0.0000000e+00 9.09e+01 1.00e+03 0.9 1.02e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 401r 0.0000000e+00 9.07e+01 1.46e+03 0.9 3.05e+00 2.5 5.09e-02 5.83e-02f 1\n", + " 402r 0.0000000e+00 8.96e+01 1.00e+03 0.9 1.15e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 403r 0.0000000e+00 8.91e+01 1.00e+03 0.9 4.29e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 404r 0.0000000e+00 8.79e+01 1.00e+03 0.9 1.29e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 405r 0.0000000e+00 8.74e+01 1.00e+03 0.9 4.83e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 406r 0.0000000e+00 8.59e+01 1.00e+03 0.9 1.45e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 407r 0.0000000e+00 8.54e+01 1.00e+03 0.9 5.44e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 408r 0.0000000e+00 8.38e+01 1.00e+03 0.9 1.63e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 409r 0.0000000e+00 8.31e+01 1.00e+03 0.9 6.11e-01 3.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 410r 0.0000000e+00 8.13e+01 1.00e+03 0.9 1.83e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 411r 0.0000000e+00 8.06e+01 1.00e+03 0.9 6.88e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 412r 0.0000000e+00 7.86e+01 1.00e+03 0.9 2.06e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 413r 0.0000000e+00 7.78e+01 1.00e+03 0.9 7.74e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 414r 0.0000000e+00 7.55e+01 1.00e+03 0.9 2.32e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 415r 0.0000000e+00 7.46e+01 1.00e+03 0.9 8.71e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 416r 0.0000000e+00 7.20e+01 1.00e+03 0.9 2.61e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 417r 0.0000000e+00 7.10e+01 1.00e+03 0.9 9.79e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 418r 0.0000000e+00 6.81e+01 1.00e+03 0.9 2.94e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 419r 0.0000000e+00 6.70e+01 1.00e+03 0.9 1.10e+00 3.0 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 420r 0.0000000e+00 6.45e+01 1.45e+03 0.9 3.31e+00 2.5 6.14e-01 7.50e-01f 1\n", + " 421r 0.0000000e+00 6.32e+01 1.00e+03 0.9 1.24e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 422r 0.0000000e+00 6.28e+01 1.00e+03 0.9 4.65e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 423r 0.0000000e+00 6.14e+01 1.00e+03 0.9 1.39e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 424r 0.0000000e+00 6.09e+01 1.00e+03 0.9 5.23e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 425r 0.0000000e+00 5.93e+01 1.00e+03 0.9 1.57e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 426r 0.0000000e+00 5.87e+01 1.00e+03 0.9 5.88e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 427r 0.0000000e+00 5.70e+01 1.00e+03 0.9 1.76e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 428r 0.0000000e+00 5.63e+01 1.00e+03 0.9 6.62e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 429r 0.0000000e+00 5.43e+01 1.00e+03 0.9 1.99e+00 2.7 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 430r 0.0000000e+00 5.35e+01 1.00e+03 0.9 7.45e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 431r 0.0000000e+00 5.13e+01 1.00e+03 0.9 2.23e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 432r 0.0000000e+00 5.05e+01 1.00e+03 0.9 8.38e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 433r 0.0000000e+00 4.80e+01 1.00e+03 0.9 2.51e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 434r 0.0000000e+00 4.70e+01 1.00e+03 0.9 9.42e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 435r 0.0000000e+00 4.43e+01 1.00e+03 0.9 2.83e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 436r 0.0000000e+00 4.31e+01 1.00e+03 0.9 1.06e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 437r 0.0000000e+00 4.00e+01 1.19e+03 0.9 3.18e+00 2.5 9.84e-01 1.00e+00f 1\n", + " 438r 0.0000000e+00 3.88e+01 1.00e+03 0.9 1.19e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 439r 0.0000000e+00 3.53e+01 9.99e+02 0.9 3.58e+00 2.4 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 440r 0.0000000e+00 3.39e+01 9.99e+02 0.9 1.34e+00 2.9 1.00e+00 1.00e+00f 1\n", + " 441r 0.0000000e+00 3.33e+01 1.36e+03 0.9 4.02e+00 2.4 1.14e-01 1.33e-01f 1\n", + " 442r 0.0000000e+00 3.18e+01 9.99e+02 0.9 1.51e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 443r 0.0000000e+00 3.12e+01 9.99e+02 0.9 5.66e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 444r 0.0000000e+00 2.96e+01 9.99e+02 0.9 1.70e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 445r 0.0000000e+00 2.88e+01 1.45e+03 0.9 5.09e+00 2.3 1.15e-01 1.53e-01f 1\n", + " 446r 0.0000000e+00 2.69e+01 9.99e+02 0.9 1.91e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 447r 0.0000000e+00 2.61e+01 9.99e+02 0.9 7.16e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 448r 0.0000000e+00 2.40e+01 9.99e+02 0.9 2.15e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 449r 0.0000000e+00 1.83e+01 9.99e+02 0.9 6.44e+00 2.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 450r 0.0000000e+00 1.54e+01 9.99e+02 0.9 2.42e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 451r 0.0000000e+00 9.51e+00 1.05e+03 0.9 7.24e+00 2.1 1.00e+00 1.00e+00f 1\n", + " 452r 0.0000000e+00 8.34e+00 2.50e+03 0.9 2.71e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 453r 0.0000000e+00 7.98e+00 5.56e+03 0.9 1.01e+00 3.0 1.00e+00 1.00e+00f 1\n", + " 454r 0.0000000e+00 7.28e+00 3.90e+04 0.9 2.86e+00 2.5 1.00e+00 6.38e-01f 1\n", + " 455r 0.0000000e+00 6.92e+00 1.53e+05 0.9 1.42e+00 2.9 1.00e+00 8.93e-01f 1\n", + " 456r 0.0000000e+00 5.70e+00 3.51e+04 0.9 1.81e+00 2.5 8.02e-01 1.00e+00f 1\n", + " 457r 0.0000000e+00 5.69e+00 9.82e+03 0.9 1.75e-02 4.7 1.00e+00 1.00e+00f 1\n", + " 458r 0.0000000e+00 5.67e+00 3.94e+03 0.9 5.21e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 459r 0.0000000e+00 5.61e+00 9.22e+04 0.9 2.03e-01 3.7 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 460r 0.0000000e+00 5.41e+00 4.83e+04 0.9 5.06e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 461r 0.0000000e+00 5.34e+00 3.97e+04 0.9 1.37e+00 2.8 1.00e+00 1.26e-01f 1\n", + " 462r 0.0000000e+00 3.62e+00 1.77e+03 0.9 1.73e+00 2.3 1.00e+00 1.00e+00f 1\n", + " 463r 0.0000000e+00 2.17e+01 1.25e+03 0.9 5.05e+00 1.8 2.60e-01 3.24e-01f 1\n", + " 464r 0.0000000e+00 2.14e+01 1.15e+03 0.9 2.44e+02 - 7.63e-02 1.07e-02f 1\n", + " 465r 0.0000000e+00 2.06e+01 1.03e+03 0.9 1.10e+02 - 5.53e-01 3.28e-02f 1\n", + " 466r 0.0000000e+00 7.20e+00 4.96e+03 0.9 1.02e+00 1.4 1.00e+00 1.00e+00f 1\n", + " 467r 0.0000000e+00 1.03e+01 7.63e+03 0.9 9.24e+01 - 2.66e-01 1.00e+00f 1\n", + " 468r 0.0000000e+00 1.85e+00 2.81e+03 0.9 9.58e+00 - 1.00e+00 1.00e+00f 1\n", + " 469r 0.0000000e+00 4.91e+02 3.74e+05 0.9 9.76e-01 - 4.11e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 470r 0.0000000e+00 4.01e+02 3.54e+05 0.9 2.99e+00 3.6 8.84e-02 8.88e-02h 1\n", + " 471r 0.0000000e+00 3.57e+01 8.05e+04 0.9 3.69e-01 4.0 1.00e+00 1.00e+00h 1\n", + " 472r 0.0000000e+00 1.68e+01 1.93e+04 0.9 1.13e-01 3.5 1.00e+00 5.89e-01f 1\n", + " 473r 0.0000000e+00 4.04e+00 1.46e+03 0.9 3.39e-01 - 1.00e+00 1.00e+00f 1\n", + " 474r 0.0000000e+00 3.77e+00 6.52e+02 0.9 3.32e-01 - 1.00e+00 1.00e+00f 1\n", + " 475r 0.0000000e+00 2.75e+00 5.05e+02 0.9 5.24e-01 - 1.00e+00 1.00e+00f 1\n", + " 476r 0.0000000e+00 3.37e+00 4.02e+02 0.9 5.36e-02 3.1 1.00e+00 1.00e+00f 1\n", + " 477r 0.0000000e+00 1.36e+01 1.95e+03 0.9 8.37e-01 - 1.00e+00 1.00e+00f 1\n", + " 478r 0.0000000e+00 6.67e-01 1.08e+02 0.9 2.49e-02 - 1.00e+00 1.00e+00h 1\n", + " 479r 0.0000000e+00 1.79e+00 5.34e+02 0.2 2.02e+00 - 1.00e+00 9.75e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 480r 0.0000000e+00 1.25e+00 8.68e+04 0.2 8.69e-01 2.6 4.61e-01 8.52e-01f 1\n", + " 481r 0.0000000e+00 1.58e+00 1.88e+04 0.2 1.16e+01 - 1.00e+00 1.00e+00f 1\n", + " 482r 0.0000000e+00 1.18e+00 1.38e+04 0.2 1.43e-01 3.0 2.61e-01 2.69e-01h 1\n", + " 483r 0.0000000e+00 1.63e-01 1.68e+03 0.2 8.07e-02 2.5 1.00e+00 1.00e+00h 1\n", + " 484r 0.0000000e+00 1.17e-01 2.12e+03 0.2 4.01e-02 3.0 1.00e+00 1.00e+00f 1\n", + " 485r 0.0000000e+00 1.17e-01 8.35e+01 0.2 4.56e-02 2.5 1.00e+00 1.00e+00f 1\n", + " 486r 0.0000000e+00 1.17e-01 1.41e+02 0.2 8.84e-02 2.0 1.00e+00 1.00e+00f 1\n", + " 487r 0.0000000e+00 1.17e-01 9.04e+01 0.2 1.50e-01 1.5 1.00e+00 1.00e+00f 1\n", + " 488r 0.0000000e+00 2.51e-01 1.50e+02 0.2 2.25e-01 1.0 1.00e+00 1.00e+00f 1\n", + " 489r 0.0000000e+00 4.40e-01 8.47e+02 0.2 9.96e+00 0.6 1.68e-01 2.62e-02f 3\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 490r 0.0000000e+00 2.34e-01 8.49e+01 0.2 1.81e-01 1.0 1.00e+00 4.53e-01h 1\n", + " 491r 0.0000000e+00 1.84e+00 4.23e+02 0.2 8.57e-01 0.5 1.00e+00 1.00e+00f 1\n", + " 492r 0.0000000e+00 1.17e+00 6.60e+02 0.2 1.10e+00 0.9 9.20e-01 4.05e-01f 2\n", + " 493r 0.0000000e+00 1.06e+00 8.84e+02 0.2 1.47e+00 0.5 1.00e+00 9.84e-02h 1\n", + " 494r 0.0000000e+00 2.53e+00 6.02e+01 0.2 2.56e-01 0.9 1.00e+00 1.00e+00f 1\n", + " 495r 0.0000000e+00 5.63e-01 1.80e+02 -0.5 2.17e-01 1.3 1.00e+00 9.96e-01f 1\n", + " 496r 0.0000000e+00 1.17e-01 1.86e+01 -0.5 5.50e-02 1.7 1.00e+00 1.00e+00f 1\n", + " 497r 0.0000000e+00 1.89e-01 2.83e+01 -0.5 1.35e-01 1.3 1.00e+00 1.00e+00f 1\n", + " 498r 0.0000000e+00 1.17e-01 3.06e+01 -0.5 7.11e-02 1.7 1.00e+00 1.00e+00f 1\n", + " 499r 0.0000000e+00 1.60e-01 4.03e+01 -0.5 1.41e-01 1.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 500r 0.0000000e+00 1.17e-01 2.63e+01 -0.5 7.14e-02 1.6 1.00e+00 1.00e+00f 1\n", + " 501r 0.0000000e+00 1.79e-01 4.51e+01 -0.5 1.62e-01 1.2 1.00e+00 1.00e+00f 1\n", + " 502r 0.0000000e+00 1.17e-01 2.80e+01 -0.5 9.56e-02 1.6 1.00e+00 1.00e+00f 1\n", + " 503r 0.0000000e+00 2.61e-01 8.75e+01 -0.5 2.01e-01 1.1 1.00e+00 1.00e+00f 1\n", + " 504r 0.0000000e+00 1.17e-01 2.73e+01 -0.5 1.16e-01 1.5 1.00e+00 1.00e+00f 1\n", + " 505r 0.0000000e+00 2.99e-01 1.30e+02 -0.5 2.16e-01 1.1 1.00e+00 1.00e+00f 1\n", + " 506r 0.0000000e+00 1.17e-01 3.01e+01 -0.5 1.25e-01 1.5 1.00e+00 1.00e+00f 1\n", + " 507r 0.0000000e+00 5.01e-01 2.27e+02 -0.5 2.94e-01 1.0 1.00e+00 1.00e+00f 1\n", + " 508r 0.0000000e+00 1.17e-01 4.95e+01 -0.5 1.73e-01 1.4 1.00e+00 1.00e+00f 1\n", + " 509r 0.0000000e+00 6.25e-01 2.86e+02 -0.5 3.45e-01 1.0 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 510r 0.0000000e+00 1.17e-01 9.11e+01 -0.5 2.17e-01 1.4 1.00e+00 1.00e+00f 1\n", + " 511r 0.0000000e+00 8.56e-01 3.83e+02 -0.5 4.42e-01 0.9 1.00e+00 1.00e+00f 1\n", + " 512r 0.0000000e+00 2.58e-01 1.58e+02 -0.5 2.69e-01 1.3 1.00e+00 1.00e+00f 1\n", + " 513r 0.0000000e+00 6.46e-01 2.61e+02 -0.5 3.64e-01 0.9 1.00e+00 9.52e-01f 1\n", + " 514r 0.0000000e+00 1.16e-01 6.39e+01 -0.5 1.97e-01 1.3 1.00e+00 1.00e+00f 1\n", + " 515r 0.0000000e+00 3.52e-01 1.08e+02 -0.5 2.41e-01 0.8 1.00e+00 1.00e+00f 1\n", + " 516r 0.0000000e+00 5.98e-01 9.39e+02 -0.5 1.29e+00 0.3 8.47e-01 2.93e-01f 1\n", + " 517r 0.0000000e+00 2.09e-01 1.23e+02 -0.5 2.77e-01 0.8 1.00e+00 7.81e-01f 1\n", + " 518r 0.0000000e+00 9.80e-01 2.65e+02 -0.5 6.40e-01 0.3 1.00e+00 7.40e-01f 1\n", + " 519r 0.0000000e+00 1.16e+00 6.17e+02 -0.5 1.72e+00 -0.2 5.97e-01 3.20e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 520r 0.0000000e+00 1.10e+00 9.20e+02 -0.5 5.85e+00 -0.7 1.97e-01 5.78e-02f 1\n", + " 521r 0.0000000e+00 8.87e-01 8.05e+02 -0.5 1.71e+00 -0.2 1.00e+00 3.36e-01f 1\n", + " 522r 0.0000000e+00 2.01e+00 4.78e+02 -0.5 2.29e+01 - 7.03e-01 6.02e-01f 1\n", + " 523r 0.0000000e+00 1.32e+00 3.74e+02 -0.5 9.11e+00 - 4.97e-01 1.96e-01f 1\n", + " 524r 0.0000000e+00 6.07e+00 2.91e+01 -0.5 7.32e+00 - 1.00e+00 1.00e+00h 1\n", + " 525r 0.0000000e+00 3.76e+00 1.21e+01 -0.5 1.91e-01 - 1.00e+00 1.00e+00h 1\n", + " 526r 0.0000000e+00 9.91e-02 1.29e+00 -0.5 3.14e-02 - 1.00e+00 1.00e+00h 1\n", + " 527r 0.0000000e+00 1.52e+00 5.13e+02 -1.9 3.13e+00 - 7.43e-01 3.02e-01f 1\n", + " 528r 0.0000000e+00 2.09e+00 4.96e+02 -1.9 1.90e+02 - 5.72e-01 2.84e-01f 1\n", + " 529r 0.0000000e+00 1.90e+00 4.50e+02 -1.9 1.34e+02 - 1.32e-01 9.01e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 530r 0.0000000e+00 1.72e+00 3.79e+02 -1.9 1.20e+02 - 1.97e-01 1.40e-01f 1\n", + " 531r 0.0000000e+00 1.68e+00 4.72e+02 -1.9 5.76e+01 - 7.39e-01 2.99e-02f 1\n", + " 532r 0.0000000e+00 2.05e+00 2.80e+02 -1.9 2.67e+00 - 1.00e+00 5.66e-01f 1\n", + " 533r 0.0000000e+00 1.81e+00 2.11e+02 -1.9 1.94e+00 - 1.00e+00 4.40e-01f 1\n", + " 534r 0.0000000e+00 1.25e+00 1.97e+02 -1.9 1.14e+00 - 9.66e-01 6.72e-01f 1\n", + " 535r 0.0000000e+00 3.97e-01 2.50e+02 -1.9 6.49e-01 - 1.00e+00 9.04e-01f 1\n", + " 536r 0.0000000e+00 3.66e-02 2.93e+02 -1.9 1.22e-01 - 1.00e+00 1.00e+00f 1\n", + " 537r 0.0000000e+00 3.62e-02 5.91e+02 -1.9 3.53e+00 0.2 2.46e-03 9.71e-03f 1\n", + " 538r 0.0000000e+00 1.33e-02 2.37e+02 -1.9 4.73e-03 3.3 9.22e-01 6.34e-01f 1\n", + " 539r 0.0000000e+00 1.47e-03 9.81e+01 -1.9 1.24e-02 2.8 1.00e+00 8.89e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 540r 0.0000000e+00 1.43e-03 9.68e+01 -1.9 3.34e-02 2.4 3.07e-01 3.25e-01f 1\n", + " 541r 0.0000000e+00 1.44e-03 4.68e+02 -1.9 2.54e-01 - 1.00e+00 2.20e-01f 1\n", + " 542r 0.0000000e+00 3.59e-03 7.06e+01 -1.9 6.41e-02 - 1.00e+00 1.00e+00f 1\n", + " 543r 0.0000000e+00 1.54e-03 1.51e+01 -1.9 2.44e-02 - 1.00e+00 1.00e+00h 1\n", + " 544r 0.0000000e+00 1.54e-03 1.73e+00 -1.9 4.46e-03 - 1.00e+00 1.00e+00h 1\n", + " 545r 0.0000000e+00 1.54e-03 1.21e-01 -1.9 1.23e-03 - 1.00e+00 1.00e+00h 1\n", + " 546r 0.0000000e+00 4.78e-02 2.21e+02 -2.8 7.48e-01 - 1.00e+00 2.42e-01f 1\n", + " 547r 0.0000000e+00 1.08e-01 1.99e+02 -2.8 4.57e-01 - 1.00e+00 5.17e-01f 1\n", + " 548r 0.0000000e+00 7.03e-02 2.55e+02 -2.8 2.22e-01 - 1.00e+00 5.34e-01f 1\n", + " 549r 0.0000000e+00 3.85e-02 1.02e+02 -2.8 1.57e-01 - 6.72e-01 6.66e-01f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 550r 0.0000000e+00 2.93e-02 8.99e+01 -2.8 1.27e-01 - 4.26e-01 2.80e-01f 1\n", + " 551r 0.0000000e+00 1.84e-02 1.76e+02 -2.8 1.15e-01 - 2.17e-01 5.25e-01f 1\n", + " 552r 0.0000000e+00 1.42e-02 1.27e+02 -2.8 9.58e-02 - 3.01e-01 2.73e-01f 1\n", + " 553r 0.0000000e+00 1.03e-02 1.88e+02 -2.8 8.58e-02 - 6.71e-01 3.49e-01f 1\n", + " 554r 0.0000000e+00 6.78e-03 1.29e+02 -2.8 7.59e-02 - 2.46e-01 4.95e-01f 1\n", + " 555r 0.0000000e+00 5.08e-03 1.02e+02 -2.8 6.67e-02 - 2.79e-01 3.28e-01f 1\n", + " 556r 0.0000000e+00 3.99e-03 8.57e+01 -2.8 5.91e-02 - 4.08e-01 2.69e-01f 1\n", + " 557r 0.0000000e+00 2.79e-03 1.03e+02 -2.8 5.11e-02 - 5.71e-01 4.22e-01f 1\n", + " 558r 0.0000000e+00 1.96e-03 5.43e+01 -2.8 4.44e-02 - 4.27e-01 4.54e-01f 1\n", + " 559r 0.0000000e+00 1.40e-03 8.40e+01 -2.8 3.54e-02 - 5.20e-01 3.84e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 560r 0.0000000e+00 1.08e-03 1.38e+02 -2.8 2.98e-02 - 5.52e-01 2.81e-01f 1\n", + " 561r 0.0000000e+00 7.04e-04 8.56e+01 -2.8 2.34e-02 - 5.84e-01 4.46e-01f 1\n", + " 562r 0.0000000e+00 4.83e-04 1.41e+02 -2.8 1.27e-02 - 6.89e-01 3.42e-01f 1\n", + " 563r 0.0000000e+00 1.65e-05 4.72e+01 -2.8 3.73e-03 - 7.72e-01 1.00e+00f 1\n", + " 564r 0.0000000e+00 5.18e-06 4.73e+00 -2.8 1.37e-03 - 1.00e+00 1.00e+00h 1\n", + " 565r 0.0000000e+00 4.69e-06 2.74e-02 -2.8 9.64e-05 - 1.00e+00 1.00e+00h 1\n", + " 566r 0.0000000e+00 3.46e-04 3.40e+02 -4.2 4.67e-02 - 1.00e+00 3.55e-01f 1\n", + " 567r 0.0000000e+00 1.76e-04 6.54e+01 -4.2 1.08e-02 - 1.00e+00 8.67e-01f 1\n", + " 568r 0.0000000e+00 6.96e-06 1.67e-01 -4.2 2.15e-03 - 1.00e+00 1.00e+00f 1\n", + " 569r 0.0000000e+00 4.93e-09 1.32e-05 -4.2 2.29e-06 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 569\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 4.9258938279284992e-09 4.9258938279284992e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 4.9258938279284992e-09 4.9258938279284992e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 586\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 587\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 572\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 569\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 134.466\n", + "Total CPU secs in NLP function evaluations = 28.534\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [0.000199428298248, 4.137976326769276e-05, 4.1909048165743585e-05, 4.241854314230988e-05, 4.286950443483921e-05, 4.326573234616743e-05, 4.362059033035327e-05, 4.393653512963269e-05, 4.4232666594138584e-05, 4.451275206981188e-05, 4.480754393846541e-05, 4.513151937009993e-05, 4.5544404986108556e-05, 4.6093851407387254e-05, 4.691017905935825e-05, 4.813816029053185e-05, 5.006091439853504e-05, 5.3117524790529405e-05, 5.786193844836315e-05, 6.560804338307977e-05, 7.725019699097993e-05, 9.639929422231773e-05, 0.0001241121396790512, 0.0001688107211443777, 0.00023140132200490137, 0.0003273189847441588, 0.00045955046817649326, 0.0006465879605725359, 0.0009077662525227622, 0.0012417725504172401, 0.0017262542316430931, 0.0022867883843205113, 0.0031304003731353358, 0.004040080558234067, 0.005409131486580457, 0.00686653661783038, 0.00892367322954815, 0.011263969393829542, 0.014169485522030801, 0.01858225270729077, 0.022883757358220055, 0.02695139159835957, 0.030752637210985465, 0.03427360471013997, 0.037512667016736514, 0.040476275812153434, 0.043176058118013304, 0.04562678299873013, 0.047844936494340545, 0.049847728758423776, 0.051652411055480636, 0.05327581580967291, 0.05473405729243587, 0.05604234768628573, 0.057214895517158915, 0.058264862308050364, 0.05920435976808856, 0.06004447457294175, 0.06079531128814631, 0.06146604657197201, 0.06206498970938524, 0.06259964594792093, 0.0630767801572903, 0.06350247911117494, 0.06388221126136928, 0.06422088329293198, 0.06452289305297926, 0.06479217866572429, 0.06503226384593272]\n", + "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.579197955102359}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15579197955102358}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "Parameters: 212 , 15.579197955102359\n", + "temp_feed is fixed at 313.15\n", + "temp_bath is fixed at 293.15\n", + "yfeed is fixed at 0.15\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.50e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (2556636)\n", + " 1 0.0000000e+00 2.49e+02 1.27e+01 -1.0 1.25e+02 - 4.01e-02 2.98e-03h 1\n", + " 2 0.0000000e+00 2.49e+02 7.24e+04 -1.0 1.25e+02 - 1.48e-01 2.98e-05h 1\n", + " 3r 0.0000000e+00 2.49e+02 9.99e+02 2.4 0.00e+00 - 0.00e+00 1.49e-07R 2\n", + " 4r 0.0000000e+00 3.29e+02 2.19e+04 2.4 2.22e+05 - 1.31e-04 7.65e-04f 1\n", + " 5r 0.0000000e+00 3.29e+02 2.19e+04 2.4 3.23e+05 - 8.34e-04 2.58e-05f 1\n", + " 6r 0.0000000e+00 3.10e+02 2.11e+04 2.4 5.28e+04 - 6.58e-03 8.09e-04f 1\n", + " 7r 0.0000000e+00 2.61e+02 1.77e+04 2.4 8.68e+03 - 3.16e-02 6.16e-03f 1\n", + " 8r 0.0000000e+00 4.79e+02 1.11e+07 2.4 4.70e-01 4.0 7.74e-01 7.76e-01f 1\n", + " 9r 0.0000000e+00 3.03e+02 9.74e+06 2.4 2.41e-01 6.2 8.26e-01 4.31e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.24e+02 4.09e+06 2.4 2.20e-01 5.8 1.00e+00 8.12e-01h 1\n", + " 11r 0.0000000e+00 1.24e+02 8.25e+05 2.4 8.54e-02 6.2 9.58e-01 1.00e+00h 1\n", + " 12r 0.0000000e+00 1.24e+02 5.03e+05 2.4 2.58e-02 5.7 1.00e+00 1.00e+00f 1\n", + " 13r 0.0000000e+00 1.24e+02 2.75e+04 2.4 2.42e-02 5.2 1.00e+00 1.00e+00f 1\n", + " 14r 0.0000000e+00 1.24e+02 1.81e+03 2.4 3.23e-02 4.7 1.00e+00 1.00e+00f 1\n", + " 15r 0.0000000e+00 1.24e+02 4.69e+03 1.0 5.79e-02 4.3 9.55e-01 1.00e+00f 1\n", + " 16r 0.0000000e+00 1.24e+02 2.39e+03 1.0 2.44e-02 4.7 1.00e+00 1.00e+00f 1\n", + " 17r 0.0000000e+00 1.24e+02 9.98e+02 1.0 6.00e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 18r 0.0000000e+00 1.24e+02 9.98e+02 1.0 1.80e-01 3.7 1.00e+00 4.34e-01f 1\n", + " 19r 0.0000000e+00 1.24e+02 9.99e+02 1.0 5.45e-01 3.3 1.00e+00 2.64e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 1.24e+02 9.99e+02 1.0 1.64e+00 2.8 1.00e+00 2.12e-01f 1\n", + " 21r 0.0000000e+00 1.23e+02 9.95e+02 1.0 4.83e+00 2.3 2.95e-01 1.37e-01f 1\n", + " 22r 0.0000000e+00 1.23e+02 1.32e+03 1.0 3.81e+00 2.7 8.52e-02 5.11e-02f 1\n", + " 23r 0.0000000e+00 1.23e+02 2.15e+03 1.0 6.79e-01 3.2 1.00e+00 4.09e-01f 1\n", + " 24r 0.0000000e+00 1.23e+02 2.28e+03 1.0 2.04e+00 2.7 1.00e+00 5.18e-01f 1\n", + " 25r 0.0000000e+00 1.15e+03 1.48e+06 1.0 1.10e+01 2.2 5.31e-02 1.46e-01f 1\n", + " 26r 0.0000000e+00 1.05e+03 1.36e+06 1.0 6.14e-01 4.4 9.84e-02 9.08e-02f 1\n", + " 27r 0.0000000e+00 6.06e+02 8.25e+05 1.0 4.27e-01 4.0 5.87e-01 5.15e-01f 1\n", + " 28r 0.0000000e+00 1.82e+02 9.24e+04 1.0 2.03e-01 4.4 6.37e-01 1.00e+00f 1\n", + " 29r 0.0000000e+00 1.22e+02 6.67e+04 1.0 1.22e-01 3.9 1.00e+00 6.12e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.22e+02 4.76e+04 1.0 3.63e-01 3.4 1.00e+00 3.58e-01f 1\n", + " 31r 0.0000000e+00 1.22e+02 3.80e+04 1.0 1.09e+00 3.0 1.00e+00 2.28e-01f 1\n", + " 32r 0.0000000e+00 1.22e+02 2.47e+04 1.0 4.08e-01 3.4 1.00e+00 4.24e-01f 1\n", + " 33r 0.0000000e+00 1.22e+02 1.92e+04 1.0 1.22e+00 2.9 1.00e+00 2.44e-01f 1\n", + " 34r 0.0000000e+00 1.22e+02 1.19e+04 1.0 4.59e-01 3.3 1.00e+00 4.08e-01f 1\n", + " 35r 0.0000000e+00 1.22e+02 5.10e+03 1.0 1.72e-01 3.8 1.00e+00 6.74e-01f 1\n", + " 36r 0.0000000e+00 1.21e+02 6.35e+03 1.0 5.16e-01 3.3 1.00e+00 3.30e-01f 1\n", + " 37r 0.0000000e+00 1.21e+02 2.57e+04 1.0 1.94e-01 3.7 1.00e+00 5.65e-01f 1\n", + " 38r 0.0000000e+00 1.21e+02 5.68e+04 1.0 5.81e-01 3.2 1.00e+00 3.48e-01f 1\n", + " 39r 0.0000000e+00 1.21e+02 5.36e+04 1.0 2.91e+00 2.8 1.43e-01 1.84e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 1.21e+02 3.86e+04 1.0 9.28e-01 3.2 1.00e+00 1.94e-01f 1\n", + " 41r 0.0000000e+00 1.21e+02 2.65e+04 1.0 7.48e-01 3.6 2.31e-01 5.39e-01f 1\n", + " 42r 0.0000000e+00 1.21e+02 2.35e+04 1.0 3.64e-01 4.0 1.00e+00 1.00e+00f 1\n", + " 43r 0.0000000e+00 1.21e+02 7.67e+03 1.0 3.45e-02 4.5 1.00e+00 1.00e+00f 1\n", + " 44r 0.0000000e+00 1.21e+02 9.93e+02 1.0 1.03e-01 4.0 1.00e+00 7.62e-01f 1\n", + " 45r 0.0000000e+00 1.21e+02 1.60e+05 1.0 6.29e-01 3.5 1.70e-01 4.47e-01f 1\n", + " 46r 0.0000000e+00 1.21e+02 1.37e+05 1.0 9.31e-01 3.0 1.00e+00 1.61e-01f 1\n", + " 47r 0.0000000e+00 1.21e+02 1.07e+05 1.0 3.13e+00 2.6 1.00e+00 1.67e-01f 1\n", + " 48r 0.0000000e+00 1.20e+02 7.89e+04 1.0 1.05e+00 3.0 1.00e+00 2.90e-01f 1\n", + " 49r 0.0000000e+00 1.20e+02 4.56e+04 1.0 3.93e-01 3.4 1.00e+00 5.51e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 1.20e+02 3.47e+04 1.0 1.18e+00 2.9 1.00e+00 2.58e-01f 1\n", + " 51r 0.0000000e+00 1.20e+02 2.15e+04 1.0 4.42e-01 3.4 1.00e+00 4.21e-01f 1\n", + " 52r 0.0000000e+00 1.20e+02 7.22e+03 1.0 1.66e-01 3.8 1.00e+00 7.62e-01f 1\n", + " 53r 0.0000000e+00 1.20e+02 4.80e+03 1.0 4.97e-01 3.3 1.00e+00 3.37e-01f 1\n", + " 54r 0.0000000e+00 1.20e+02 2.15e+03 1.0 1.86e-01 3.7 1.00e+00 5.61e-01f 1\n", + " 55r 0.0000000e+00 1.20e+02 1.45e+03 1.0 5.59e-01 3.2 1.00e+00 3.16e-01f 1\n", + " 56r 0.0000000e+00 1.20e+02 9.93e+02 1.0 2.10e-01 3.7 1.00e+00 6.24e-01f 1\n", + " 57r 0.0000000e+00 1.20e+02 9.93e+02 1.0 6.29e-01 3.2 1.00e+00 3.35e-01f 1\n", + " 58r 0.0000000e+00 1.20e+02 9.93e+02 1.0 2.36e-01 3.6 1.00e+00 5.79e-01f 1\n", + " 59r 0.0000000e+00 1.19e+02 9.93e+02 1.0 7.07e-01 3.1 1.00e+00 3.00e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 1.19e+02 9.93e+02 1.0 2.65e-01 3.6 1.00e+00 4.67e-01f 1\n", + " 61r 0.0000000e+00 1.19e+02 9.93e+02 1.0 7.96e-01 3.1 1.00e+00 2.92e-01f 1\n", + " 62r 0.0000000e+00 1.19e+02 9.93e+02 1.0 2.98e-01 3.5 1.00e+00 4.77e-01f 1\n", + " 63r 0.0000000e+00 1.19e+02 9.93e+02 1.0 8.95e-01 3.0 1.00e+00 3.02e-01f 1\n", + " 64r 0.0000000e+00 1.19e+02 1.06e+03 1.0 3.36e-01 3.5 1.00e+00 8.12e-01f 1\n", + " 65r 0.0000000e+00 1.19e+02 9.93e+02 1.0 1.01e+00 3.0 1.00e+00 1.77e-01f 1\n", + " 66r 0.0000000e+00 1.19e+02 9.93e+02 1.0 3.02e+00 2.5 1.00e+00 1.69e-01f 1\n", + " 67r 0.0000000e+00 1.18e+02 9.93e+02 1.0 1.13e+00 2.9 1.00e+00 3.10e-01f 1\n", + " 68r 0.0000000e+00 1.18e+02 9.93e+02 1.0 4.25e-01 3.4 1.00e+00 4.77e-01f 1\n", + " 69r 0.0000000e+00 1.18e+02 9.93e+02 1.0 1.59e-01 3.8 1.00e+00 7.58e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 1.18e+02 9.93e+02 1.0 4.78e-01 3.3 1.00e+00 3.39e-01f 1\n", + " 71r 0.0000000e+00 1.18e+02 9.93e+02 1.0 1.79e-01 3.7 1.00e+00 6.25e-01f 1\n", + " 72r 0.0000000e+00 1.18e+02 9.93e+02 1.0 5.38e-01 3.3 1.00e+00 3.12e-01f 1\n", + " 73r 0.0000000e+00 1.18e+02 9.93e+02 1.0 1.61e+00 2.8 1.00e+00 2.00e-01f 1\n", + " 74r 0.0000000e+00 1.18e+02 9.92e+02 1.0 4.84e+00 2.3 1.00e+00 1.39e-01f 1\n", + " 75r 0.0000000e+00 1.17e+02 9.93e+02 1.0 1.81e+00 2.7 1.00e+00 2.75e-01f 1\n", + " 76r 0.0000000e+00 1.17e+02 9.92e+02 1.0 5.44e+00 2.3 5.56e-01 1.67e-01f 1\n", + " 77r 0.0000000e+00 1.17e+02 9.92e+02 1.0 2.04e+00 2.7 1.00e+00 2.09e-01f 1\n", + " 78r 0.0000000e+00 1.16e+02 9.93e+02 1.0 7.66e-01 3.1 1.00e+00 4.26e-01f 1\n", + " 79r 0.0000000e+00 1.16e+02 9.93e+02 1.0 2.87e-01 3.5 1.00e+00 5.71e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 1.16e+02 9.92e+02 1.0 8.61e-01 3.1 1.00e+00 2.98e-01f 1\n", + " 81r 0.0000000e+00 1.16e+02 9.92e+02 1.0 2.58e+00 2.6 1.00e+00 1.75e-01f 1\n", + " 82r 0.0000000e+00 1.16e+02 9.92e+02 1.0 7.75e+00 2.1 1.00e+00 1.34e-01f 1\n", + " 83r 0.0000000e+00 1.15e+02 9.92e+02 1.0 2.91e+00 2.5 1.00e+00 2.13e-01f 1\n", + " 84r 0.0000000e+00 1.15e+02 9.92e+02 1.0 8.71e+00 2.1 6.81e-01 1.53e-01f 1\n", + " 85r 0.0000000e+00 1.14e+02 1.10e+03 1.0 3.27e+00 2.5 1.00e+00 2.06e-01f 1\n", + " 86r 0.0000000e+00 1.14e+02 9.92e+02 1.0 1.23e+00 2.9 1.00e+00 3.96e-01f 1\n", + " 87r 0.0000000e+00 1.14e+02 9.92e+02 1.0 3.68e+00 2.4 1.00e+00 2.32e-01f 1\n", + " 88r 0.0000000e+00 1.14e+02 9.92e+02 1.0 1.72e-01 3.8 1.00e+00 1.00e+00f 1\n", + " 89r 0.0000000e+00 1.13e+02 9.92e+02 1.0 5.17e-01 3.3 1.00e+00 2.91e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 1.13e+02 9.92e+02 1.0 1.55e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 91r 0.0000000e+00 1.13e+02 9.91e+02 1.0 4.65e+00 2.3 1.00e+00 7.40e-02f 1\n", + " 92r 0.0000000e+00 1.12e+02 9.91e+02 1.0 1.74e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 93r 0.0000000e+00 1.11e+02 9.91e+02 1.0 6.54e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 94r 0.0000000e+00 1.10e+02 9.89e+02 1.0 1.96e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 95r 0.0000000e+00 1.10e+02 9.86e+02 1.0 7.32e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 96r 0.0000000e+00 1.10e+02 9.82e+02 1.0 2.73e-01 3.6 1.00e+00 1.00e+00f 1\n", + " 97r 0.0000000e+00 1.10e+02 9.69e+02 1.0 8.09e-01 3.1 1.00e+00 9.71e-01f 1\n", + " 98r 0.0000000e+00 1.08e+02 5.23e+02 1.0 1.19e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 99r 0.0000000e+00 1.08e+02 1.58e+03 1.0 4.47e-01 3.0 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 1.08e+02 4.76e+02 1.0 1.68e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 101r 0.0000000e+00 1.07e+02 4.75e+02 1.0 5.02e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 102r 0.0000000e+00 1.06e+02 9.33e+02 1.0 1.50e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 103r 0.0000000e+00 1.05e+02 2.40e+03 1.0 5.61e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 104r 0.0000000e+00 1.03e+02 1.24e+03 1.0 1.67e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 105r 0.0000000e+00 1.03e+02 3.48e+03 1.0 6.26e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 106r 0.0000000e+00 1.01e+02 1.23e+03 1.0 1.87e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 107r 0.0000000e+00 1.00e+02 3.89e+03 1.0 6.99e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 108r 0.0000000e+00 1.00e+02 1.11e+03 1.0 2.62e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 109r 0.0000000e+00 9.97e+01 1.46e+03 1.0 7.83e-01 2.8 5.21e-01 4.28e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 9.74e+01 1.32e+04 1.0 2.33e+00 2.3 1.00e+00 1.00e+00f 1\n", + " 111r 0.0000000e+00 1.14e+03 3.98e+05 1.0 9.68e-01 2.7 8.54e-01 1.00e+00f 1\n", + " 112r 0.0000000e+00 8.08e+02 2.69e+05 1.0 2.28e-01 4.0 4.72e-01 3.14e-01f 1\n", + " 113r 0.0000000e+00 2.58e+02 2.00e+05 1.0 2.22e-01 4.5 1.15e-01 1.00e+00h 1\n", + " 114r 0.0000000e+00 1.03e+02 5.84e+04 1.0 3.66e-01 4.0 1.00e+00 8.22e-01f 1\n", + " 115r 0.0000000e+00 2.85e+02 4.90e+05 1.0 3.80e+00 3.5 4.22e-01 2.25e-01f 1\n", + " 116r 0.0000000e+00 9.63e+01 2.13e+05 1.0 2.99e-01 3.9 2.37e-01 1.00e+00f 1\n", + " 117r 0.0000000e+00 9.62e+01 4.83e+04 1.0 2.11e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 118r 0.0000000e+00 9.61e+01 3.13e+04 1.0 1.15e-01 3.9 1.00e+00 1.00e+00f 1\n", + " 119r 0.0000000e+00 9.60e+01 1.12e+04 1.0 1.74e-01 3.4 1.00e+00 5.64e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 9.60e+01 1.40e+03 1.0 6.54e-02 3.8 1.00e+00 1.00e+00f 1\n", + " 121r 0.0000000e+00 9.58e+01 4.57e+02 1.0 1.96e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 122r 0.0000000e+00 9.52e+01 5.02e+02 0.3 5.89e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 123r 0.0000000e+00 9.44e+01 6.28e+02 0.3 1.85e+00 2.4 8.23e-01 4.12e-01f 1\n", + " 124r 0.0000000e+00 9.37e+01 4.81e+02 0.3 6.96e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 125r 0.0000000e+00 9.16e+01 4.79e+02 0.3 2.08e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 126r 0.0000000e+00 9.11e+01 4.79e+02 0.3 7.80e-01 2.8 1.00e+00 6.58e-01f 1\n", + " 127r 0.0000000e+00 9.01e+01 7.70e+02 0.3 2.33e+00 2.3 9.91e-01 4.49e-01f 1\n", + " 128r 0.0000000e+00 8.92e+01 4.78e+02 0.3 8.75e-01 2.7 1.00e+00 1.00e+00f 1\n", + " 129r 0.0000000e+00 8.78e+01 5.38e+02 0.3 2.61e+00 2.3 1.00e+00 5.25e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 0.0000000e+00 8.69e+01 4.76e+02 0.3 9.81e-01 2.7 1.00e+00 1.00e+00f 1\n", + " 131r 0.0000000e+00 8.39e+01 4.74e+02 0.3 2.93e+00 2.2 1.00e+00 1.00e+00f 1\n", + " 132r 0.0000000e+00 8.28e+01 4.73e+02 0.3 1.10e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 133r 0.0000000e+00 7.96e+01 4.71e+02 0.3 3.28e+00 2.2 1.00e+00 1.00e+00f 1\n", + " 134r 0.0000000e+00 7.83e+01 4.70e+02 0.3 1.23e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 135r 0.0000000e+00 7.47e+01 4.67e+02 0.3 3.66e+00 2.1 1.00e+00 1.00e+00f 1\n", + " 136r 0.0000000e+00 6.60e+01 7.54e+02 0.3 1.08e+01 1.6 9.93e-01 8.06e-01f 1\n", + " 137r 0.0000000e+00 6.54e+01 6.29e+02 0.3 4.04e+00 2.1 1.00e+00 1.34e-01f 1\n", + " 138r 0.0000000e+00 5.35e+01 4.53e+02 0.3 1.20e+01 1.6 1.00e+00 1.00e+00f 1\n", + " 139r 0.0000000e+00 4.90e+01 4.50e+02 0.3 4.45e+00 2.0 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 0.0000000e+00 3.60e+01 4.40e+02 0.3 1.31e+01 1.5 1.00e+00 1.00e+00f 1\n", + " 141r 0.0000000e+00 6.00e-01 4.16e+02 0.3 3.70e+01 1.0 1.00e+00 9.59e-01f 1\n", + " 142r 0.0000000e+00 3.73e-01 7.72e+02 0.3 9.12e+01 0.6 6.26e-01 3.94e-03f 1\n", + " 143r 0.0000000e+00 3.65e-01 4.97e+02 0.3 1.13e+01 1.0 1.00e+00 2.12e-02f 1\n", + " 144r 0.0000000e+00 6.00e+01 8.03e+02 0.3 3.80e+00 0.5 5.49e-01 5.98e-01f 1\n", + " 145r 0.0000000e+00 4.22e+01 5.11e+02 0.3 1.43e+00 0.9 1.00e+00 3.40e-01f 1\n", + " 146r 0.0000000e+00 2.90e+00 4.49e+01 0.3 8.14e-01 1.4 1.00e+00 1.00e+00f 1\n", + " 147r 0.0000000e+00 2.22e+01 7.57e+02 -0.4 4.02e+00 0.9 2.42e-01 2.27e-01f 1\n", + " 148r 0.0000000e+00 1.74e+01 5.76e+02 -0.4 1.66e+00 0.4 8.34e-01 2.33e-01f 1\n", + " 149r 0.0000000e+00 2.89e+00 8.13e+01 -0.4 6.27e-01 0.8 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r 0.0000000e+00 2.46e+00 4.75e+02 -0.4 8.76e+01 - 1.55e-01 1.86e-01f 1\n", + " 151r 0.0000000e+00 2.17e+00 4.00e+02 -0.4 7.46e+01 - 5.44e-01 1.36e-01f 1\n", + " 152r 0.0000000e+00 1.44e+00 4.81e+02 -0.4 6.47e+01 - 1.00e+00 5.67e-01f 1\n", + " 153r 0.0000000e+00 6.21e-01 8.90e+01 -0.4 5.62e-01 0.4 1.00e+00 1.00e+00f 1\n", + " 154r 0.0000000e+00 6.12e-01 1.91e+01 -0.4 2.74e+01 - 1.00e+00 1.00e+00f 1\n", + " 155r 0.0000000e+00 1.72e-01 7.07e+00 -0.4 2.35e-01 - 1.00e+00 1.00e+00h 1\n", + " 156r 0.0000000e+00 1.32e+00 3.72e+02 -1.1 2.04e+00 - 9.53e-01 3.81e-01f 1\n", + " 157r 0.0000000e+00 1.73e+00 5.36e+02 -1.1 5.44e+01 - 1.00e+00 4.40e-01f 1\n", + " 158r 0.0000000e+00 1.46e+00 3.31e+02 -1.1 3.04e+01 - 1.00e+00 2.78e-01f 1\n", + " 159r 0.0000000e+00 1.90e+00 1.98e+02 -1.1 2.20e+01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r 0.0000000e+00 2.62e+00 1.71e+02 -1.1 1.43e+00 - 1.00e+00 1.00e+00f 1\n", + " 161r 0.0000000e+00 4.31e-01 6.30e+01 -1.1 6.20e-01 - 1.00e+00 1.00e+00f 1\n", + " 162r 0.0000000e+00 5.92e-02 9.98e+01 -1.1 1.01e-01 - 1.00e+00 8.70e-01h 1\n", + " 163r 0.0000000e+00 5.92e-02 1.01e+01 -1.1 2.55e-02 - 1.00e+00 1.00e+00f 1\n", + " 164r 0.0000000e+00 5.92e-02 1.91e+01 -1.1 1.06e-02 - 1.00e+00 1.00e+00h 1\n", + " 165r 0.0000000e+00 5.92e-02 7.92e-01 -1.1 5.41e-04 - 1.00e+00 1.00e+00f 1\n", + " 166r 0.0000000e+00 1.02e+00 2.78e+02 -1.8 1.84e+00 - 7.37e-01 3.53e-01f 1\n", + " 167r 0.0000000e+00 1.35e+00 2.46e+02 -1.8 1.21e+02 - 1.00e+00 4.52e-01f 1\n", + " 168r 0.0000000e+00 1.32e+00 3.54e+02 -1.8 4.76e+01 - 1.00e+00 2.02e-02f 1\n", + " 169r 0.0000000e+00 8.07e-01 1.14e+02 -1.8 8.72e-01 - 1.00e+00 6.67e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r 0.0000000e+00 3.33e-01 7.98e+01 -1.8 3.92e-01 - 1.00e+00 7.28e-01f 1\n", + " 171r 0.0000000e+00 4.45e-02 5.10e+01 -1.8 1.89e-01 - 1.00e+00 1.00e+00f 1\n", + " 172r 0.0000000e+00 6.36e-03 4.00e+01 -1.8 5.03e-02 - 1.00e+00 8.71e-01h 1\n", + " 173r 0.0000000e+00 1.70e-03 2.10e+00 -1.8 1.17e-02 - 1.00e+00 1.00e+00f 1\n", + " 174r 0.0000000e+00 1.70e-03 5.48e-01 -1.8 7.21e-04 - 1.00e+00 1.00e+00h 1\n", + " 175r 0.0000000e+00 5.50e-02 2.20e+02 -2.7 7.51e-01 - 1.00e+00 2.46e-01f 1\n", + " 176r 0.0000000e+00 1.11e-01 2.64e+02 -2.7 5.29e-01 - 1.00e+00 4.17e-01f 1\n", + " 177r 0.0000000e+00 9.15e-02 1.84e+02 -2.7 3.23e-01 - 1.00e+00 4.72e-01f 1\n", + " 178r 0.0000000e+00 6.02e-02 1.55e+02 -2.7 2.03e-01 - 1.00e+00 5.47e-01f 1\n", + " 179r 0.0000000e+00 4.09e-02 1.11e+02 -2.7 1.57e-01 - 6.89e-01 4.18e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r 0.0000000e+00 2.45e-02 1.02e+02 -2.7 1.36e-01 - 2.85e-01 6.22e-01f 1\n", + " 181r 0.0000000e+00 1.84e-02 9.31e+01 -2.7 1.11e-01 - 4.53e-01 3.09e-01f 1\n", + " 182r 0.0000000e+00 1.18e-02 1.23e+02 -2.7 9.74e-02 - 1.00e+00 5.48e-01f 1\n", + " 183r 0.0000000e+00 8.02e-03 5.53e+01 -2.7 7.65e-02 - 3.60e-01 4.18e-01f 1\n", + " 184r 0.0000000e+00 5.42e-03 8.48e+01 -2.7 6.89e-02 - 3.63e-01 4.77e-01f 1\n", + " 185r 0.0000000e+00 3.65e-03 5.91e+01 -2.7 5.82e-02 - 4.76e-01 4.97e-01f 1\n", + " 186r 0.0000000e+00 2.51e-03 4.03e+01 -2.7 4.64e-02 - 4.41e-01 4.28e-01f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 187r 0.0000000e+00 1.67e-03 9.26e+01 -2.7 3.86e-02 - 6.51e-01 4.92e-01f 1\n", + " 188r 0.0000000e+00 9.92e-04 4.53e+01 -2.7 2.83e-02 - 6.33e-01 5.62e-01f 1\n", + " 189r 0.0000000e+00 5.19e-04 5.54e+01 -2.7 1.79e-02 - 7.52e-01 5.89e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r 0.0000000e+00 2.87e-05 6.84e+00 -2.7 5.05e-03 - 1.00e+00 1.00e+00f 1\n", + " 191r 0.0000000e+00 1.25e-05 1.12e+00 -2.7 1.58e-03 - 1.00e+00 1.00e+00h 1\n", + " 192r 0.0000000e+00 1.22e-05 2.11e-02 -2.7 1.02e-04 - 1.00e+00 1.00e+00h 1\n", + " 193r 0.0000000e+00 5.20e-04 3.83e+02 -4.0 8.53e-02 - 1.00e+00 2.42e-01f 1\n", + " 194r 0.0000000e+00 7.58e-04 1.51e+02 -4.0 2.89e-02 - 1.00e+00 7.57e-01f 1\n", + " 195r 0.0000000e+00 2.92e-06 8.55e+00 -4.0 1.42e-03 - 9.52e-01 1.00e+00f 1\n", + " 196r 0.0000000e+00 5.33e-08 2.48e-02 -4.0 2.30e-04 - 1.00e+00 1.00e+00h 1\n", + " 197r 0.0000000e+00 9.68e-09 7.12e-08 -4.0 1.61e-07 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 197\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 9.6785813709879427e-09 9.6785813709879427e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 9.6785813709879427e-09 9.6785813709879427e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 200\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 200\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 199\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 197\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 18.683\n", + "Total CPU secs in NLP function evaluations = 9.758\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [0.000199428298248, 4.134681752976386e-05, 4.189142844988351e-05, 4.240664905748878e-05, 4.286280676069029e-05, 4.3262670284424725e-05, 4.36205722954117e-05, 4.3938087421058035e-05, 4.4234602026223995e-05, 4.451315508327158e-05, 4.4803512762299476e-05, 4.5119446539042335e-05, 4.5517013643586665e-05, 4.604296134085937e-05, 4.681764127089205e-05, 4.798457086836292e-05, 4.980246685480379e-05, 5.270770446903561e-05, 5.720377259557984e-05, 6.458779490746851e-05, 7.568593486866916e-05, 9.40113654717625e-05, 0.00012064369215979747, 0.000163610691772564, 0.00022430098217350478, 0.0003169178542918453, 0.00044622248231284274, 0.0006276178770456338, 0.0008847311378786182, 0.0012105326537026233, 0.0016892049200612023, 0.002240553090321295, 0.00307403084911705, 0.00397750627938659, 0.0053264977228423185, 0.006787780623360933, 0.008806304719813023, 0.011170709930469449, 0.014006240727983833, 0.01842989503490152, 0.02276088749566126, 0.026857682520224763, 0.030686181723902344, 0.03423169570665536, 0.03749224386422116, 0.04047420930815383, 0.04318932734872514, 0.04565257921978033, 0.047880717956895136, 0.04989124299664553, 0.051701696082741735, 0.05332918814383217, 0.05479009225585366, 0.05609985568407271, 0.05727289677038676, 0.05832256165694461, 0.05926112255804583, 0.060099804218832965, 0.0608488288265523, 0.06151747231866411, 0.06211412701320343, 0.06264636695259812, 0.06312101343564204, 0.06354419901131715, 0.06392142879501216, 0.06425763839618752, 0.06455724805690206, 0.06482421282550016, 0.06506206882083215]\n", + "This scenario: {'fitted_transport_coefficient': {0: 209.88}, 'ua': {0: 15.424948470398375}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.0987999999999998, 'ua': 0.15424948470398375}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "Parameters: 209.88 , 15.424948470398375\n", + "temp_feed is fixed at 313.15\n", + "temp_bath is fixed at 293.15\n", + "yfeed is fixed at 0.15\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.14e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (2554551)\n", + " 1 0.0000000e+00 2.14e+02 1.29e+01 -1.0 1.07e+02 - 4.05e-02 2.98e-03h 1\n", + " 2 0.0000000e+00 2.14e+02 7.45e+04 -1.0 1.07e+02 - 1.51e-01 2.98e-05h 1\n", + " 3r 0.0000000e+00 2.14e+02 9.99e+02 2.3 0.00e+00 - 0.00e+00 1.49e-07R 2\n", + " 4r 0.0000000e+00 3.72e+02 1.48e+04 2.3 1.87e+05 - 1.19e-04 7.91e-04f 1\n", + " 5r 0.0000000e+00 1.76e+03 1.78e+06 2.3 9.74e+02 0.0 1.13e-03 1.29e-02f 1\n", + " 6r 0.0000000e+00 6.38e+04 1.46e+06 2.3 5.27e+00 3.1 1.78e-01 1.77e-01f 1\n", + " 7r 0.0000000e+00 4.41e+04 7.29e+05 2.3 1.66e+00 5.4 3.14e-01 1.69e-01h 1\n", + " 8r 0.0000000e+00 4.34e+04 7.18e+05 2.3 8.02e-01 5.8 6.71e-02 1.54e-02h 1\n", + " 9r 0.0000000e+00 3.57e+04 5.86e+05 2.3 8.99e-01 5.3 4.51e-01 1.79e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 3.37e+04 5.52e+05 2.3 9.40e-01 5.7 2.69e-01 5.82e-02h 1\n", + " 11r 0.0000000e+00 3.11e+04 1.08e+06 2.3 8.61e-01 6.2 1.00e+00 7.74e-02h 1\n", + " 12r 0.0000000e+00 2.79e+04 1.55e+06 2.3 7.99e-01 6.6 4.40e-01 1.04e-01h 1\n", + " 13r 0.0000000e+00 2.61e+04 5.92e+06 2.3 7.34e-01 7.0 1.00e+00 6.64e-02h 1\n", + " 14r 0.0000000e+00 1.80e+04 8.41e+07 2.3 8.05e-01 6.5 7.14e-01 3.45e-01h 1\n", + " 15r 0.0000000e+00 1.40e+04 6.65e+07 2.3 7.00e-01 6.1 4.01e-01 2.38e-01h 1\n", + " 16r 0.0000000e+00 1.26e+04 5.99e+07 2.3 6.37e-01 6.5 7.71e-01 1.07e-01h 1\n", + " 17r 0.0000000e+00 1.25e+04 5.96e+07 2.3 7.52e-01 6.9 7.81e-01 5.67e-03h 1\n", + " 18r 0.0000000e+00 9.57e+03 8.56e+08 2.3 1.28e+00 6.4 5.21e-02 2.54e-01h 1\n", + " 19r 0.0000000e+00 8.41e+03 7.53e+08 2.3 6.62e-01 6.0 7.58e-01 1.26e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 3.22e+03 3.10e+08 2.3 9.15e-01 5.5 5.26e-01 8.29e-01h 1\n", + " 21r 0.0000000e+00 3.06e+03 2.95e+08 2.3 1.01e+00 5.9 2.91e-01 4.99e-02h 1\n", + " 22r 0.0000000e+00 3.04e+03 2.92e+08 2.3 1.01e+00 6.3 8.07e-01 8.27e-03h 1\n", + " 23r 0.0000000e+00 2.70e+03 2.59e+08 2.3 1.10e+00 5.9 3.48e-01 1.18e-01f 1\n", + " 24r 0.0000000e+00 2.52e+03 2.42e+08 2.3 1.25e+00 6.3 1.00e+00 6.71e-02h 1\n", + " 25r 0.0000000e+00 1.65e+03 1.60e+08 2.3 1.17e+00 5.8 4.55e-01 3.99e-01f 1\n", + " 26r 0.0000000e+00 1.21e+03 1.19e+08 2.3 7.02e-01 7.1 1.00e+00 2.97e-01h 1\n", + " 27r 0.0000000e+00 9.57e+02 9.67e+07 2.3 4.94e-01 7.6 2.24e-01 2.27e-01h 1\n", + " 28r 0.0000000e+00 2.95e+02 9.05e+07 2.3 3.82e-01 7.1 2.50e-02 1.00e+00f 1\n", + " 29r 0.0000000e+00 2.88e+02 8.84e+07 2.3 6.96e-01 7.5 5.94e-01 2.33e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 2.88e+02 8.82e+07 2.3 8.77e-01 7.9 9.91e-01 1.69e-03h 1\n", + " 31r 0.0000000e+00 1.06e+02 7.45e+08 2.3 9.04e-01 7.5 5.08e-01 7.33e-01f 1\n", + " 32r 0.0000000e+00 1.06e+02 6.97e+08 2.3 3.18e+00 7.9 6.28e-02 7.14e-02h 1\n", + "Reallocating memory for MA57: lfact (2837877)\n", + " 33r 0.0000000e+00 1.06e+02 6.96e+08 2.3 2.95e+00 8.3 2.51e-01 7.71e-04h 1\n", + " 34r 0.0000000e+00 1.06e+02 6.95e+08 2.3 4.42e+00 7.8 1.43e-01 1.98e-03h 1\n", + " 35r 0.0000000e+00 1.06e+02 1.20e+09 2.3 4.41e+00 8.3 1.00e+00 6.79e-01h 1\n", + "Reallocating memory for MA57: lfact (3142601)\n", + " 36r 0.0000000e+00 1.06e+02 2.03e+09 2.3 1.42e+00 8.7 7.73e-01 1.00e+00h 1\n", + " 37r 0.0000000e+00 1.06e+02 4.87e+09 2.3 2.96e-01 8.2 2.87e-01 1.00e+00f 1\n", + "Reallocating memory for MA57: lfact (3421911)\n", + " 38r 0.0000000e+00 1.06e+02 4.57e+09 2.3 3.01e-02 9.5 9.90e-01 5.79e-02h 1\n", + " 39r 0.0000000e+00 1.06e+02 4.73e+09 2.3 4.68e-02 9.1 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 1.06e+02 1.57e+09 2.3 4.27e-02 8.6 7.59e-01 1.00e+00f 1\n", + " 41r 0.0000000e+00 1.06e+02 5.48e+07 2.3 1.04e-02 8.1 4.87e-01 1.00e+00f 1\n", + " 42r 0.0000000e+00 1.06e+02 7.64e+05 2.3 9.32e-03 7.6 9.87e-01 1.00e+00f 1\n", + " 43r 0.0000000e+00 1.06e+02 1.46e+05 2.3 1.03e-02 7.2 9.96e-01 1.00e+00f 1\n", + " 44r 0.0000000e+00 1.06e+02 3.33e+04 2.3 3.90e-03 6.7 1.00e+00 1.00e+00f 1\n", + " 45r 0.0000000e+00 1.06e+02 3.91e+04 2.3 6.86e-03 6.2 1.00e+00 1.00e+00f 1\n", + " 46r 0.0000000e+00 1.06e+02 1.79e+04 2.3 1.19e-02 5.7 1.00e+00 1.00e+00f 1\n", + " 47r 0.0000000e+00 1.06e+02 2.51e+04 2.3 1.82e-02 5.2 1.00e+00 1.00e+00f 1\n", + " 48r 0.0000000e+00 1.06e+02 1.35e+05 2.3 4.22e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 49r 0.0000000e+00 1.06e+02 1.30e+05 2.3 8.38e-02 4.3 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 1.06e+02 7.29e+03 2.3 2.47e-02 4.7 1.00e+00 1.00e+00f 1\n", + " 51r 0.0000000e+00 1.06e+02 3.30e+03 1.6 2.30e-02 5.1 1.00e+00 1.00e+00f 1\n", + " 52r 0.0000000e+00 1.06e+02 1.18e+03 1.6 2.54e-02 4.7 1.00e+00 1.00e+00f 1\n", + " 53r 0.0000000e+00 1.06e+02 1.70e+03 1.6 8.01e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 54r 0.0000000e+00 1.06e+02 1.35e+04 1.6 1.93e-01 3.7 1.00e+00 1.00e+00f 1\n", + " 55r 0.0000000e+00 1.06e+02 2.59e+04 1.6 7.45e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 56r 0.0000000e+00 9.58e+02 7.31e+05 1.6 3.68e-01 3.7 5.96e-01 5.48e-01f 1\n", + " 57r 0.0000000e+00 8.00e+02 6.03e+05 1.6 2.78e-02 5.9 1.00e+00 1.00e+00f 1\n", + " 58r 0.0000000e+00 1.86e+02 1.39e+05 1.6 2.04e-02 5.4 1.00e+00 1.00e+00f 1\n", + " 59r 0.0000000e+00 1.06e+02 5.40e+03 1.6 1.14e-02 4.9 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 1.06e+02 9.91e+02 1.6 3.41e-02 4.5 1.00e+00 1.00e+00f 1\n", + " 61r 0.0000000e+00 1.06e+02 1.59e+03 0.9 1.03e-01 4.0 1.00e+00 1.00e+00f 1\n", + " 62r 0.0000000e+00 1.05e+02 9.97e+02 0.9 3.08e-01 3.5 1.00e+00 4.88e-01f 1\n", + " 63r 0.0000000e+00 1.05e+02 9.93e+02 0.9 9.22e-01 3.0 1.00e+00 2.55e-01f 1\n", + " 64r 0.0000000e+00 1.05e+02 9.93e+02 0.9 2.77e+00 2.6 1.00e+00 1.55e-01f 1\n", + " 65r 0.0000000e+00 1.05e+02 9.92e+02 0.9 1.04e+00 3.0 1.00e+00 3.40e-01f 1\n", + " 66r 0.0000000e+00 1.05e+02 2.03e+03 0.9 3.11e+00 2.5 1.00e+00 2.57e-01f 1\n", + " 67r 0.0000000e+00 1.04e+02 9.92e+02 0.9 1.17e+00 2.9 1.00e+00 5.76e-01f 1\n", + " 68r 0.0000000e+00 1.04e+02 9.92e+02 0.9 3.50e+00 2.5 1.00e+00 2.02e-01f 1\n", + " 69r 0.0000000e+00 1.01e+02 3.66e+05 0.9 1.05e+01 2.0 5.02e-01 4.72e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 1.01e+02 3.02e+05 0.9 4.92e-01 3.3 1.00e+00 1.93e-01f 1\n", + " 71r 0.0000000e+00 1.01e+02 9.56e+04 0.9 1.48e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 72r 0.0000000e+00 9.84e+01 2.86e+04 0.9 4.42e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 73r 0.0000000e+00 9.76e+01 1.24e+04 0.9 1.66e+00 2.8 7.67e-01 1.00e+00f 1\n", + " 74r 0.0000000e+00 9.52e+01 1.73e+04 0.9 4.98e+00 2.3 1.00e+00 1.00e+00f 1\n", + " 75r 0.0000000e+00 9.43e+01 1.81e+03 0.9 1.87e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 76r 0.0000000e+00 9.30e+01 1.06e+03 0.9 5.60e+00 2.2 1.00e+00 4.76e-01f 1\n", + " 77r 0.0000000e+00 9.20e+01 9.91e+02 0.9 2.10e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 78r 0.0000000e+00 8.93e+01 1.38e+03 0.9 6.30e+00 2.2 1.00e+00 8.81e-01f 1\n", + " 79r 0.0000000e+00 8.82e+01 3.00e+03 0.9 2.36e+00 2.6 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 8.48e+01 9.72e+03 0.9 7.09e+00 2.1 1.00e+00 1.00e+00f 1\n", + " 81r 0.0000000e+00 8.46e+01 1.72e+04 0.9 3.32e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 82r 0.0000000e+00 8.53e+01 8.96e+04 0.9 9.98e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 83r 0.0000000e+00 8.42e+01 5.82e+04 0.9 1.60e-01 4.3 4.71e-01 2.96e-01f 1\n", + " 84r 0.0000000e+00 8.41e+01 3.29e+04 0.9 2.47e-01 3.8 1.00e+00 1.00e+00f 1\n", + " 85r 0.0000000e+00 8.40e+01 1.96e+04 0.9 4.21e-01 3.4 1.00e+00 7.61e-01f 1\n", + " 86r 0.0000000e+00 8.39e+01 2.36e+03 0.9 1.58e-01 3.8 1.00e+00 1.00e+00f 1\n", + " 87r 0.0000000e+00 8.37e+01 3.67e+03 0.9 4.73e-01 3.3 1.00e+00 7.08e-01f 1\n", + " 88r 0.0000000e+00 8.31e+01 9.91e+02 0.9 1.42e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 89r 0.0000000e+00 8.11e+01 1.81e+03 0.9 4.26e+00 2.4 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 8.03e+01 3.89e+03 0.9 1.60e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 91r 0.0000000e+00 7.99e+01 3.15e+03 0.9 4.79e+00 2.3 1.00e+00 1.74e-01f 1\n", + " 92r 0.0000000e+00 7.99e+01 2.94e+03 0.9 1.80e+00 2.7 1.00e+00 7.43e-02f 1\n", + " 93r 0.0000000e+00 7.95e+01 2.42e+03 0.9 5.39e+00 2.3 1.00e+00 1.56e-01f 1\n", + " 94r 0.0000000e+00 7.92e+01 1.82e+03 0.9 2.02e+00 2.7 1.00e+00 2.68e-01f 1\n", + " 95r 0.0000000e+00 7.91e+01 1.08e+03 0.9 7.57e-01 3.1 1.00e+00 4.16e-01f 1\n", + " 96r 0.0000000e+00 7.88e+01 9.91e+02 0.9 2.27e+00 2.6 1.00e+00 2.24e-01f 1\n", + " 97r 0.0000000e+00 7.87e+01 9.91e+02 0.9 8.52e-01 3.1 1.00e+00 3.35e-01f 1\n", + " 98r 0.0000000e+00 7.85e+01 9.91e+02 0.9 2.56e+00 2.6 1.00e+00 1.98e-01f 1\n", + " 99r 0.0000000e+00 7.81e+01 9.91e+02 0.9 7.67e+00 2.1 3.58e-01 1.16e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 7.79e+01 9.91e+02 0.9 2.88e+00 2.5 1.00e+00 1.44e-01f 1\n", + " 101r 0.0000000e+00 7.77e+01 9.91e+02 0.9 1.08e+00 3.0 1.00e+00 3.68e-01f 1\n", + " 102r 0.0000000e+00 7.75e+01 1.01e+03 0.9 3.81e+00 2.5 1.10e-01 9.28e-02f 1\n", + " 103r 0.0000000e+00 7.71e+01 9.90e+02 0.9 9.70e+00 2.0 1.00e+00 1.02e-01f 1\n", + " 104r 0.0000000e+00 7.62e+01 9.89e+02 0.9 2.91e+01 1.5 9.79e-01 7.20e-02f 1\n", + " 105r 0.0000000e+00 7.59e+01 9.90e+02 0.9 1.36e+00 2.9 1.00e+00 4.18e-01f 1\n", + " 106r 0.0000000e+00 7.58e+01 9.91e+02 0.9 5.12e-01 3.3 1.00e+00 5.21e-01f 1\n", + " 107r 0.0000000e+00 7.56e+01 9.91e+02 0.9 1.53e+00 2.8 1.00e+00 2.87e-01f 1\n", + " 108r 0.0000000e+00 7.51e+01 9.90e+02 0.9 4.60e+00 2.3 1.00e+00 2.09e-01f 1\n", + " 109r 0.0000000e+00 7.45e+01 9.90e+02 0.9 1.38e+01 1.9 1.00e+00 1.01e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 7.41e+01 9.90e+02 0.9 5.18e+00 2.3 1.00e+00 1.66e-01f 1\n", + " 111r 0.0000000e+00 7.32e+01 9.88e+02 0.9 1.55e+01 1.8 1.00e+00 1.32e-01f 1\n", + " 112r 0.0000000e+00 7.29e+01 9.90e+02 0.9 7.28e-01 3.1 1.00e+00 8.31e-01f 1\n", + " 113r 0.0000000e+00 7.27e+01 9.90e+02 0.9 2.18e+00 2.7 1.00e+00 1.97e-01f 1\n", + " 114r 0.0000000e+00 7.26e+01 9.90e+02 0.9 8.19e-01 3.1 1.00e+00 4.08e-01f 1\n", + " 115r 0.0000000e+00 7.23e+01 9.90e+02 0.9 2.46e+00 2.6 1.00e+00 2.61e-01f 1\n", + " 116r 0.0000000e+00 7.19e+01 9.88e+02 0.9 7.36e+00 2.1 1.00e+00 1.08e-01f 1\n", + " 117r 0.0000000e+00 7.15e+01 9.88e+02 0.9 2.76e+00 2.6 1.00e+00 3.44e-01f 1\n", + " 118r 0.0000000e+00 7.10e+01 9.85e+02 0.9 8.25e+00 2.1 1.00e+00 1.18e-01f 1\n", + " 119r 0.0000000e+00 7.07e+01 9.84e+02 0.9 3.09e+00 2.5 1.00e+00 2.56e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 7.05e+01 9.86e+02 0.9 1.16e+00 2.9 1.00e+00 4.23e-01f 1\n", + " 121r 0.0000000e+00 7.04e+01 9.87e+02 0.9 4.36e-01 3.4 1.00e+00 4.66e-01f 1\n", + " 122r 0.0000000e+00 7.02e+01 9.86e+02 0.9 1.31e+00 2.9 1.00e+00 2.64e-01f 1\n", + " 123r 0.0000000e+00 7.01e+01 9.86e+02 0.9 4.90e-01 3.3 1.00e+00 3.96e-01f 1\n", + " 124r 0.0000000e+00 7.00e+01 9.84e+02 0.9 1.47e+00 2.8 1.00e+00 2.26e-01f 1\n", + " 125r 0.0000000e+00 6.97e+01 9.67e+02 0.9 4.33e+00 2.3 1.00e+00 1.44e-01f 1\n", + " 126r 0.0000000e+00 6.95e+01 9.49e+02 0.9 1.59e+00 2.8 1.00e+00 2.51e-01f 1\n", + " 127r 0.0000000e+00 6.91e+01 7.51e+02 0.9 3.79e+00 2.3 1.00e+00 1.66e-01f 1\n", + " 128r 0.0000000e+00 6.89e+01 4.47e+02 0.9 8.43e-01 2.7 1.00e+00 3.14e-01f 1\n", + " 129r 0.0000000e+00 6.85e+01 4.47e+02 0.9 3.16e-01 3.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 0.0000000e+00 6.83e+01 1.31e+03 0.9 9.46e-01 2.7 2.78e-01 2.42e-01f 1\n", + " 131r 0.0000000e+00 6.66e+01 6.14e+02 0.9 2.82e+00 2.2 1.00e+00 6.09e-01f 1\n", + " 132r 0.0000000e+00 6.55e+01 1.76e+03 0.9 1.06e+00 2.6 4.60e-01 1.00e+00f 1\n", + " 133r 0.0000000e+00 6.26e+01 4.38e+02 0.9 3.14e+00 2.1 1.00e+00 9.42e-01f 1\n", + " 134r 0.0000000e+00 6.25e+01 1.13e+03 0.9 1.50e+00 2.6 1.23e-01 1.07e-01f 1\n", + " 135r 0.0000000e+00 6.20e+01 4.38e+02 0.9 4.41e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 136r 0.0000000e+00 6.07e+01 4.36e+02 0.9 1.32e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 137r 0.0000000e+00 6.02e+01 1.06e+03 0.9 4.93e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 138r 0.0000000e+00 6.00e+01 4.35e+02 0.9 1.85e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 139r 0.0000000e+00 5.95e+01 4.34e+02 0.9 5.53e-01 2.9 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 0.0000000e+00 5.78e+01 1.06e+03 0.9 1.65e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 141r 0.0000000e+00 5.30e+01 9.29e+03 0.9 4.87e+00 1.9 1.00e+00 1.00e+00f 1\n", + " 142r 0.0000000e+00 5.27e+01 4.86e+03 0.9 2.28e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 143r 0.0000000e+00 5.21e+01 5.03e+02 0.9 6.83e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 144r 0.0000000e+00 5.11e+01 8.37e+02 0.9 2.03e+00 2.3 6.08e-01 4.64e-01f 1\n", + " 145r 0.0000000e+00 5.04e+01 1.58e+03 0.9 7.64e-01 2.7 8.16e-01 8.86e-01f 1\n", + " 146r 0.0000000e+00 5.01e+01 4.20e+02 0.9 2.86e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 147r 0.0000000e+00 4.93e+01 4.19e+02 0.9 8.56e-01 2.7 1.00e+00 1.00e+00f 1\n", + " 148r 0.0000000e+00 4.90e+01 4.28e+02 0.9 3.21e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 149r 0.0000000e+00 4.80e+01 4.17e+02 0.9 9.59e-01 2.6 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r 0.0000000e+00 4.52e+01 4.13e+02 0.9 2.85e+00 2.2 1.00e+00 1.00e+00f 1\n", + " 151r 0.0000000e+00 4.49e+01 1.18e+03 0.9 1.06e+00 2.6 2.77e-01 2.47e-01f 1\n", + " 152r 0.0000000e+00 4.45e+01 5.17e+02 0.9 4.00e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 153r 0.0000000e+00 4.33e+01 4.11e+02 0.9 1.19e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 154r 0.0000000e+00 4.29e+01 4.65e+02 0.9 4.47e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 155r 0.0000000e+00 4.15e+01 4.08e+02 0.9 1.34e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 156r 0.0000000e+00 4.10e+01 4.07e+02 0.9 5.00e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 157r 0.0000000e+00 4.00e+01 1.16e+03 0.9 1.49e+00 2.4 6.97e-01 6.83e-01f 1\n", + " 158r 0.0000000e+00 3.95e+01 4.05e+02 0.9 5.59e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 159r 0.0000000e+00 3.86e+01 1.01e+03 0.9 1.67e+00 2.4 5.83e-01 5.12e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r 0.0000000e+00 3.80e+01 7.79e+02 0.9 6.26e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 161r 0.0000000e+00 3.78e+01 4.03e+02 0.9 2.34e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 162r 0.0000000e+00 3.71e+01 4.02e+02 0.9 7.02e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 163r 0.0000000e+00 3.68e+01 4.01e+02 0.9 2.63e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 164r 0.0000000e+00 3.60e+01 5.00e+02 0.9 7.86e-01 2.7 1.00e+00 1.00e+00f 1\n", + " 165r 0.0000000e+00 3.57e+01 4.00e+02 0.9 2.95e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 166r 0.0000000e+00 3.48e+01 7.20e+02 0.9 8.81e-01 2.7 1.00e+00 1.00e+00f 1\n", + " 167r 0.0000000e+00 3.45e+01 3.98e+02 0.9 3.30e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 168r 0.0000000e+00 3.35e+01 1.28e+03 0.9 9.86e-01 2.6 1.00e+00 1.00e+00f 1\n", + " 169r 0.0000000e+00 3.32e+01 3.96e+02 0.9 3.69e-01 3.0 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r 0.0000000e+00 3.29e+01 1.42e+03 0.9 1.10e+00 2.6 1.99e-01 2.15e-01f 1\n", + " 171r 0.0000000e+00 3.25e+01 3.95e+02 0.9 4.14e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 172r 0.0000000e+00 3.13e+01 3.93e+02 0.9 1.24e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 173r 0.0000000e+00 3.08e+01 5.09e+02 0.2 4.65e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 174r 0.0000000e+00 2.92e+01 4.52e+02 0.2 1.60e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 175r 0.0000000e+00 2.44e+01 4.49e+02 0.2 4.77e+00 2.0 1.00e+00 1.00e+00f 1\n", + " 176r 0.0000000e+00 1.04e+01 4.40e+02 0.2 1.40e+01 1.5 1.00e+00 1.00e+00f 1\n", + " 177r 0.0000000e+00 5.23e+00 4.37e+02 0.2 5.22e+00 1.9 1.00e+00 1.00e+00f 1\n", + " 178r 0.0000000e+00 2.84e-01 4.33e+02 0.2 1.53e+01 1.4 1.00e+00 3.24e-01f 1\n", + " 179r 0.0000000e+00 1.96e-01 4.29e+02 0.2 3.69e+01 1.0 1.00e+00 2.41e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r 0.0000000e+00 3.53e-02 3.64e+02 0.2 1.19e+00 1.4 1.00e+00 1.63e-01f 1\n", + " 181r 0.0000000e+00 2.11e-01 1.27e+02 0.2 1.19e+00 0.9 1.00e+00 1.00e+00f 1\n", + " 182r 0.0000000e+00 3.02e-02 2.03e+01 0.2 4.44e-01 1.3 1.00e+00 1.00e+00f 1\n", + " 183r 0.0000000e+00 1.13e+00 2.95e+02 -0.5 1.29e+00 0.9 1.00e+00 8.07e-01f 1\n", + " 184r 0.0000000e+00 2.41e-01 2.12e+02 -0.5 3.75e-01 1.3 1.00e+00 6.23e-01f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 185r 0.0000000e+00 7.40e-01 1.46e+02 -0.5 4.71e-01 0.8 1.00e+00 1.00e+00f 1\n", + " 186r 0.0000000e+00 2.59e-01 1.13e+02 -0.5 2.80e-01 1.2 1.00e+00 1.00e+00f 1\n", + " 187r 0.0000000e+00 7.73e-01 2.83e+02 -0.5 5.24e-01 0.8 1.00e+00 7.77e-01f 1\n", + " 188r 0.0000000e+00 1.85e-01 1.04e+02 -0.5 1.96e-01 1.2 1.00e+00 1.00e+00f 1\n", + " 189r 0.0000000e+00 5.36e-01 1.89e+02 -0.5 5.83e-01 0.7 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r 0.0000000e+00 1.68e+00 3.59e+02 -0.5 6.46e+01 - 2.64e-01 1.85e-01f 1\n", + " 191r 0.0000000e+00 1.39e+00 1.15e+03 -0.5 2.84e+00 0.2 5.36e-01 1.42e-01f 1\n", + " 192r 0.0000000e+00 1.45e+00 7.40e+02 -0.5 3.97e+00 -0.2 1.00e+00 4.56e-01f 1\n", + " 193r 0.0000000e+00 1.27e+00 6.15e+02 -0.5 5.27e+01 - 5.93e-01 1.27e-01f 1\n", + " 194r 0.0000000e+00 1.02e+00 1.96e+02 -0.5 4.67e+01 - 1.00e+00 1.00e+00f 1\n", + " 195r 0.0000000e+00 3.33e-01 7.12e+01 -0.5 3.95e-01 - 1.00e+00 1.00e+00f 1\n", + " 196r 0.0000000e+00 8.96e-02 6.74e+00 -0.5 1.16e-01 - 1.00e+00 1.00e+00h 1\n", + " 197r 0.0000000e+00 1.49e+00 4.94e+02 -1.2 2.49e+00 - 9.03e-01 3.63e-01f 1\n", + " 198r 0.0000000e+00 2.09e+00 2.60e+02 -1.2 5.87e+01 - 8.01e-01 5.47e-01f 1\n", + " 199r 0.0000000e+00 1.44e+01 6.65e+02 -1.2 2.66e+01 - 3.36e-01 5.82e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200r 0.0000000e+00 1.74e+00 5.15e+02 -1.2 1.11e+01 - 6.01e-01 1.00e+00f 1\n", + " 201r 0.0000000e+00 1.72e+00 5.05e+02 -1.2 2.73e+00 - 2.02e-01 1.14e-02h 1\n", + " 202r 0.0000000e+00 9.50e-01 8.22e+02 -1.2 9.78e-01 - 1.00e+00 3.40e-01f 1\n", + " 203r 0.0000000e+00 3.42e-01 1.01e+02 -1.2 4.14e-01 - 1.00e+00 1.00e+00f 1\n", + " 204r 0.0000000e+00 2.75e-02 1.02e+02 -1.2 1.36e-01 - 1.00e+00 1.00e+00h 1\n", + " 205r 0.0000000e+00 2.76e-02 5.30e+01 -1.2 2.50e-02 - 1.00e+00 1.00e+00f 1\n", + " 206r 0.0000000e+00 2.76e-02 2.79e+02 -1.2 1.12e-01 - 2.92e-01 9.90e-02h 2\n", + " 207r 0.0000000e+00 2.76e-02 1.89e+00 -1.2 3.03e-03 - 1.00e+00 1.00e+00f 1\n", + " 208r 0.0000000e+00 1.39e+00 2.57e+02 -1.9 1.90e+00 - 9.65e-01 4.84e-01f 1\n", + " 209r 0.0000000e+00 1.17e+00 3.31e+02 -1.9 1.31e+02 - 1.00e+00 1.96e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 210r 0.0000000e+00 1.16e+00 3.99e+02 -1.9 2.27e+01 - 1.00e+00 1.13e-02f 1\n", + " 211r 0.0000000e+00 7.38e-01 1.01e+02 -1.9 7.48e-01 - 1.00e+00 7.70e-01f 1\n", + " 212r 0.0000000e+00 3.34e-01 8.20e+01 -1.9 3.45e-01 - 1.00e+00 6.38e-01f 1\n", + " 213r 0.0000000e+00 6.33e-02 6.32e+01 -1.9 2.06e-01 - 1.00e+00 1.00e+00f 1\n", + " 214r 0.0000000e+00 1.76e-02 5.32e+01 -1.9 6.13e-02 - 1.00e+00 7.59e-01h 1\n", + " 215r 0.0000000e+00 1.56e-03 1.14e+01 -1.9 2.34e-02 - 1.00e+00 1.00e+00h 1\n", + " 216r 0.0000000e+00 1.56e-03 1.44e+00 -1.9 4.24e-03 - 1.00e+00 1.00e+00h 1\n", + " 217r 0.0000000e+00 1.56e-03 1.03e-01 -1.9 2.26e-04 - 1.00e+00 1.00e+00h 1\n", + " 218r 0.0000000e+00 4.89e-02 2.22e+02 -2.8 7.47e-01 - 1.00e+00 2.39e-01f 1\n", + " 219r 0.0000000e+00 1.13e-01 2.00e+02 -2.8 4.73e-01 - 1.00e+00 5.18e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 220r 0.0000000e+00 7.29e-02 2.37e+02 -2.8 2.22e-01 - 9.69e-01 5.40e-01f 1\n", + " 221r 0.0000000e+00 4.85e-02 1.41e+02 -2.8 1.62e-01 - 1.00e+00 4.23e-01f 1\n", + " 222r 0.0000000e+00 2.95e-02 1.67e+02 -2.8 1.38e-01 - 8.83e-01 5.36e-01f 1\n", + " 223r 0.0000000e+00 2.38e-02 1.21e+02 -2.8 1.17e-01 - 2.90e-01 2.23e-01f 1\n", + " 224r 0.0000000e+00 1.54e-02 1.33e+02 -2.8 1.08e-01 - 1.00e+00 5.07e-01f 1\n", + " 225r 0.0000000e+00 1.00e-02 1.05e+02 -2.8 8.79e-02 - 2.93e-01 4.94e-01f 1\n", + " 226r 0.0000000e+00 7.69e-03 7.46e+01 -2.8 7.69e-02 - 2.91e-01 2.89e-01f 1\n", + " 227r 0.0000000e+00 5.56e-03 3.35e+02 -2.8 6.91e-02 - 1.00e+00 3.79e-01f 1\n", + " 228r 0.0000000e+00 3.85e-03 1.81e+02 -2.8 5.88e-02 - 5.50e-01 4.54e-01f 1\n", + " 229r 0.0000000e+00 2.72e-03 1.29e+02 -2.8 4.89e-02 - 5.60e-01 4.00e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 230r 0.0000000e+00 1.90e-03 6.77e+01 -2.8 4.38e-02 - 4.03e-01 4.78e-01f 1\n", + " 231r 0.0000000e+00 1.36e-03 6.81e+01 -2.8 3.45e-02 - 5.01e-01 3.80e-01f 1\n", + " 232r 0.0000000e+00 1.05e-03 1.43e+02 -2.8 2.86e-02 - 6.33e-01 2.75e-01f 1\n", + " 233r 0.0000000e+00 6.80e-04 1.03e+02 -2.8 2.20e-02 - 6.15e-01 4.43e-01f 1\n", + " 234r 0.0000000e+00 4.42e-04 1.40e+02 -2.8 1.14e-02 - 7.50e-01 3.79e-01f 1\n", + " 235r 0.0000000e+00 9.01e-06 1.35e+01 -2.8 2.75e-03 - 9.01e-01 1.00e+00f 1\n", + " 236r 0.0000000e+00 5.17e-06 2.13e+00 -2.8 8.38e-04 - 1.00e+00 1.00e+00h 1\n", + " 237r 0.0000000e+00 4.87e-06 8.27e-03 -2.8 4.89e-05 - 1.00e+00 1.00e+00h 1\n", + " 238r 0.0000000e+00 3.55e-04 3.45e+02 -4.2 4.95e-02 - 1.00e+00 3.48e-01f 1\n", + " 239r 0.0000000e+00 1.93e-04 6.65e+01 -4.2 1.18e-02 - 1.00e+00 8.68e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 240r 0.0000000e+00 7.80e-06 1.90e-01 -4.2 2.34e-03 - 1.00e+00 1.00e+00f 1\n", + " 241r 0.0000000e+00 4.93e-09 2.30e-05 -4.2 2.90e-06 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 241\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 4.9257740747017957e-09 4.9257740747017957e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 4.9257740747017957e-09 4.9257740747017957e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 248\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 248\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 243\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 241\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 24.289\n", + "Total CPU secs in NLP function evaluations = 11.838\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [0.000199428298248, 4.1322379106577695e-05, 4.186958851689143e-05, 4.238916264783791e-05, 4.2849041332356573e-05, 4.3251103098538356e-05, 4.3610598792086286e-05, 4.3928344050165775e-05, 4.422391708927879e-05, 4.4499804728249466e-05, 4.4784705324152874e-05, 4.509188047215989e-05, 4.547376191381738e-05, 4.597633977568521e-05, 4.671045957814433e-05, 4.781819366105177e-05, 4.9535674418809264e-05, 5.229484272408643e-05, 5.655458448365675e-05, 6.358823253141992e-05, 7.41680810424717e-05, 9.169217262480779e-05, 0.00011728637041282849, 0.0001585600003353751, 0.0002174012923623185, 0.00030678449294113295, 0.0004331937788843621, 0.0006091048549626968, 0.0008620831594067871, 0.0011800936893951659, 0.0016526003618174464, 0.0021955111861045014, 0.003018068839309279, 0.003916298552683903, 0.005244141237740265, 0.00671021458774427, 0.008689431543168893, 0.011077991015364911, 0.013846866879205947, 0.018277589976093543, 0.02263807758376126, 0.026764096886891783, 0.030619908039055364, 0.034190005535063024, 0.03747205032074457, 0.04047235798410824, 0.043202776086250644, 0.04567850311170732, 0.04791656426723585, 0.04993475299546003, 0.051750905535460974, 0.05338241455026077, 0.05484591438452446, 0.05615708915821717, 0.05733056820576546, 0.0583798829724858, 0.05931746646797929, 0.06015468149232805, 0.060901867612736985, 0.06156839964206091, 0.062162752418987006, 0.06269256820256112, 0.0631647241099522, 0.06358539784776623, 0.06396013058916754, 0.06429388628745066, 0.06459110703324575, 0.06485576428995872, 0.06509140604516565]\n", + "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.270698985694391}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15270698985694392}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parameters: 212 , 15.270698985694391\n", + "temp_feed is fixed at 313.15\n", + "temp_bath is fixed at 293.15\n", + "yfeed is fixed at 0.15\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.84e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (2556111)\n", + " 1 0.0000000e+00 1.83e+02 1.27e+01 -1.0 9.17e+01 - 4.01e-02 2.98e-03h 1\n", + " 2 0.0000000e+00 1.83e+02 7.24e+04 -1.0 9.15e+01 - 1.48e-01 2.98e-05h 1\n", + " 3r 0.0000000e+00 1.83e+02 9.99e+02 2.3 0.00e+00 - 0.00e+00 1.49e-07R 2\n", + " 4r 0.0000000e+00 4.23e+02 1.52e+04 2.3 1.57e+05 - 1.13e-04 8.21e-04f 1\n", + " 5r 0.0000000e+00 3.38e+03 2.27e+06 2.3 5.48e+01 2.0 1.67e-01 7.50e-02f 1\n", + " 6r 0.0000000e+00 2.88e+03 1.94e+06 2.3 1.66e+00 4.2 1.26e-01 1.57e-01f 1\n", + " 7r 0.0000000e+00 2.50e+03 1.67e+06 2.3 2.22e+00 3.8 3.01e-01 1.40e-01f 1\n", + " 8r 0.0000000e+00 1.88e+03 1.25e+06 2.3 1.38e+00 4.2 5.92e-01 2.72e-01f 1\n", + " 9r 0.0000000e+00 1.28e+03 8.50e+05 2.3 1.02e+00 4.6 7.97e-01 3.63e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 9.17e+02 6.11e+05 2.3 7.61e-01 4.1 2.58e-01 3.20e-01f 1\n", + " 11r 0.0000000e+00 4.17e+02 2.95e+05 2.3 5.31e-01 4.6 1.38e-01 6.98e-01f 1\n", + " 12r 0.0000000e+00 6.23e+02 5.98e+05 2.3 3.20e-01 4.1 1.00e+00 1.00e+00f 1\n", + " 13r 0.0000000e+00 6.39e+02 2.31e+06 2.3 8.52e-02 6.3 1.00e+00 1.00e+00h 1\n", + " 14r 0.0000000e+00 3.97e+02 3.57e+05 2.3 3.09e-02 5.8 1.00e+00 1.00e+00f 1\n", + " 15r 0.0000000e+00 9.10e+01 1.19e+05 2.3 3.35e-02 6.3 1.00e+00 1.00e+00f 1\n", + " 16r 0.0000000e+00 9.10e+01 3.00e+04 2.3 1.06e-02 5.8 1.00e+00 1.00e+00f 1\n", + " 17r 0.0000000e+00 9.10e+01 7.89e+03 2.3 1.72e-02 5.3 1.00e+00 1.00e+00f 1\n", + " 18r 0.0000000e+00 9.10e+01 1.26e+03 1.6 1.88e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 19r 0.0000000e+00 9.10e+01 2.21e+03 1.6 8.67e-03 5.3 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 9.10e+01 1.05e+03 1.6 1.75e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 21r 0.0000000e+00 9.09e+01 1.03e+03 1.6 5.15e-02 4.3 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 9.09e+01 1.48e+03 1.6 1.49e-01 3.8 1.00e+00 1.00e+00f 1\n", + " 23r 0.0000000e+00 9.07e+01 6.01e+03 1.6 4.46e-01 3.3 1.00e+00 6.81e-01f 1\n", + " 24r 0.0000000e+00 9.07e+01 8.54e+03 1.6 1.67e-01 3.8 1.00e+00 1.00e+00f 1\n", + " 25r 0.0000000e+00 9.06e+01 3.02e+03 1.6 6.27e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 26r 0.0000000e+00 9.05e+01 9.88e+02 1.6 1.88e-01 3.7 1.00e+00 1.00e+00f 1\n", + " 27r 0.0000000e+00 9.04e+01 2.27e+03 0.9 5.65e-01 3.2 1.00e+00 5.65e-01f 1\n", + " 28r 0.0000000e+00 9.02e+01 1.66e+03 0.9 1.69e+00 2.8 1.00e+00 2.64e-01f 1\n", + " 29r 0.0000000e+00 8.97e+01 1.35e+03 0.9 5.08e+00 2.3 1.00e+00 1.72e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 8.93e+01 9.89e+02 0.9 1.90e+00 2.7 1.00e+00 4.46e-01f 1\n", + " 31r 0.0000000e+00 8.89e+01 9.89e+02 0.9 5.71e+00 2.2 1.00e+00 1.43e-01f 1\n", + " 32r 0.0000000e+00 8.78e+01 9.88e+02 0.9 2.14e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 33r 0.0000000e+00 8.46e+01 9.88e+02 0.9 6.42e+00 2.2 1.00e+00 9.98e-01f 1\n", + " 34r 0.0000000e+00 2.18e+02 2.10e+05 0.9 1.94e+01 1.7 6.13e-02 9.86e-02f 1\n", + " 35r 0.0000000e+00 8.58e+01 1.55e+04 0.9 3.44e-01 3.9 8.61e-01 7.87e-01f 1\n", + " 36r 0.0000000e+00 8.36e+01 9.56e+04 0.9 2.63e-01 4.4 1.00e+00 1.00e+00f 1\n", + " 37r 0.0000000e+00 8.36e+01 4.22e+04 0.9 4.85e-01 3.9 5.16e-01 2.28e-01f 1\n", + " 38r 0.0000000e+00 8.34e+01 3.50e+04 0.9 3.84e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 39r 0.0000000e+00 8.28e+01 1.99e+03 0.9 1.14e+00 2.9 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 8.11e+01 9.88e+02 0.9 3.43e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 41r 0.0000000e+00 7.61e+01 4.42e+04 0.9 1.03e+01 2.0 1.00e+00 1.00e+00f 1\n", + " 42r 0.0000000e+00 7.59e+01 1.00e+04 0.9 4.82e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 43r 0.0000000e+00 7.58e+01 1.81e+03 0.9 1.81e-01 3.7 1.00e+00 1.00e+00f 1\n", + " 44r 0.0000000e+00 7.55e+01 9.88e+02 0.9 5.43e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 45r 0.0000000e+00 7.48e+01 9.88e+02 0.9 1.63e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 46r 0.0000000e+00 7.24e+01 9.88e+02 0.9 4.88e+00 2.3 1.00e+00 1.00e+00f 1\n", + " 47r 0.0000000e+00 7.15e+01 1.29e+03 0.9 1.83e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 48r 0.0000000e+00 6.89e+01 9.88e+02 0.9 5.49e+00 2.3 1.00e+00 1.00e+00f 1\n", + " 49r 0.0000000e+00 6.79e+01 2.60e+03 0.9 2.06e+00 2.7 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 6.51e+01 2.64e+03 0.9 6.18e+00 2.2 1.00e+00 9.60e-01f 1\n", + " 51r 0.0000000e+00 6.51e+01 2.33e+03 0.9 2.32e+00 2.6 1.00e+00 3.18e-02f 1\n", + " 52r 0.0000000e+00 6.48e+01 2.36e+03 0.9 6.95e+00 2.2 4.86e-01 7.56e-02f 1\n", + " 53r 0.0000000e+00 6.46e+01 1.87e+03 0.9 2.61e+00 2.6 1.00e+00 1.68e-01f 1\n", + " 54r 0.0000000e+00 6.41e+01 1.62e+03 0.9 7.82e+00 2.1 3.46e-01 1.35e-01f 1\n", + " 55r 0.0000000e+00 6.39e+01 1.37e+03 0.9 2.93e+00 2.5 1.00e+00 1.43e-01f 1\n", + " 56r 0.0000000e+00 6.37e+01 1.20e+03 0.9 1.10e+00 3.0 1.00e+00 3.71e-01f 1\n", + " 57r 0.0000000e+00 6.35e+01 9.88e+02 0.9 3.30e+00 2.5 1.00e+00 1.90e-01f 1\n", + " 58r 0.0000000e+00 6.33e+01 9.88e+02 0.9 1.24e+00 2.9 1.00e+00 2.95e-01f 1\n", + " 59r 0.0000000e+00 6.30e+01 9.88e+02 0.9 3.71e+00 2.4 1.00e+00 1.73e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 6.28e+01 9.88e+02 0.9 1.39e+00 2.9 1.00e+00 3.32e-01f 1\n", + " 61r 0.0000000e+00 6.25e+01 9.87e+02 0.9 4.17e+00 2.4 1.00e+00 1.52e-01f 1\n", + " 62r 0.0000000e+00 6.22e+01 9.88e+02 0.9 1.57e+00 2.8 1.00e+00 3.15e-01f 1\n", + " 63r 0.0000000e+00 6.19e+01 9.87e+02 0.9 4.70e+00 2.3 1.00e+00 1.52e-01f 1\n", + " 64r 0.0000000e+00 6.17e+01 9.87e+02 0.9 1.76e+00 2.7 1.00e+00 2.69e-01f 1\n", + " 65r 0.0000000e+00 6.14e+01 9.88e+02 0.9 6.60e-01 3.2 1.00e+00 7.67e-01f 1\n", + " 66r 0.0000000e+00 6.13e+01 9.87e+02 0.9 1.98e+00 2.7 1.00e+00 1.32e-01f 1\n", + " 67r 0.0000000e+00 6.11e+01 9.87e+02 0.9 7.43e-01 3.1 1.00e+00 5.33e-01f 1\n", + " 68r 0.0000000e+00 6.09e+01 9.87e+02 0.9 2.23e+00 2.6 1.00e+00 2.14e-01f 1\n", + " 69r 0.0000000e+00 6.05e+01 9.87e+02 0.9 6.68e+00 2.2 1.00e+00 1.33e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 6.03e+01 9.87e+02 0.9 2.51e+00 2.6 1.00e+00 1.86e-01f 1\n", + " 71r 0.0000000e+00 5.98e+01 9.87e+02 0.9 7.52e+00 2.1 1.00e+00 1.47e-01f 1\n", + " 72r 0.0000000e+00 5.95e+01 9.87e+02 0.9 2.82e+00 2.5 1.00e+00 2.51e-01f 1\n", + " 73r 0.0000000e+00 5.92e+01 9.87e+02 0.9 1.06e+00 3.0 1.00e+00 5.98e-01f 1\n", + " 74r 0.0000000e+00 5.89e+01 9.87e+02 0.9 3.17e+00 2.5 1.00e+00 1.61e-01f 1\n", + " 75r 0.0000000e+00 5.84e+01 9.86e+02 0.9 9.51e+00 2.0 1.00e+00 1.13e-01f 1\n", + " 76r 0.0000000e+00 5.81e+01 9.86e+02 0.9 3.57e+00 2.4 1.00e+00 2.10e-01f 1\n", + " 77r 0.0000000e+00 5.78e+01 9.87e+02 0.9 1.34e+00 2.9 1.00e+00 4.20e-01f 1\n", + " 78r 0.0000000e+00 5.77e+01 9.87e+02 0.9 5.02e-01 3.3 1.00e+00 3.87e-01f 1\n", + " 79r 0.0000000e+00 5.76e+01 9.87e+02 0.9 1.50e+00 2.8 1.00e+00 2.56e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 5.71e+01 9.86e+02 0.9 4.51e+00 2.3 1.00e+00 2.01e-01f 1\n", + " 81r 0.0000000e+00 5.67e+01 9.80e+02 0.9 1.34e+01 1.9 1.00e+00 7.81e-02f 1\n", + " 82r 0.0000000e+00 5.62e+01 9.75e+02 0.9 5.02e+00 2.3 1.00e+00 2.01e-01f 1\n", + " 83r 0.0000000e+00 5.59e+01 9.76e+02 0.9 1.89e+00 2.7 1.00e+00 3.41e-01f 1\n", + " 84r 0.0000000e+00 5.57e+01 9.81e+02 0.9 7.10e-01 3.1 1.00e+00 4.59e-01f 1\n", + " 85r 0.0000000e+00 5.55e+01 9.75e+02 0.9 2.12e+00 2.7 1.00e+00 2.42e-01f 1\n", + " 86r 0.0000000e+00 5.54e+01 9.74e+02 0.9 7.94e-01 3.1 1.00e+00 3.40e-01f 1\n", + " 87r 0.0000000e+00 5.51e+01 9.56e+02 0.9 2.32e+00 2.6 7.21e-01 2.11e-01f 1\n", + " 88r 0.0000000e+00 5.48e+01 6.62e+02 0.9 4.88e+00 2.1 1.00e+00 9.68e-02f 1\n", + " 89r 0.0000000e+00 5.09e+01 4.48e+02 0.9 9.68e+00 1.7 1.00e+00 4.10e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 5.04e+01 1.11e+03 0.9 4.61e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 91r 0.0000000e+00 4.90e+01 4.73e+02 0.9 1.38e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 92r 0.0000000e+00 4.85e+01 4.45e+02 0.9 5.16e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 93r 0.0000000e+00 4.83e+01 1.22e+03 0.9 1.54e+00 2.5 1.28e-01 1.27e-01f 1\n", + " 94r 0.0000000e+00 4.77e+01 4.44e+02 0.9 5.79e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 95r 0.0000000e+00 4.60e+01 1.06e+03 0.9 1.73e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 96r 0.0000000e+00 4.54e+01 7.70e+02 0.9 6.47e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 97r 0.0000000e+00 4.51e+01 4.40e+02 0.9 2.42e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 98r 0.0000000e+00 4.44e+01 4.39e+02 0.9 7.25e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 99r 0.0000000e+00 4.41e+01 4.39e+02 0.9 2.72e-01 3.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 4.33e+01 4.38e+02 0.9 8.13e-01 2.7 1.00e+00 1.00e+00f 1\n", + " 101r 0.0000000e+00 4.30e+01 4.37e+02 0.9 3.05e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 102r 0.0000000e+00 4.21e+01 4.36e+02 0.9 9.11e-01 2.7 1.00e+00 1.00e+00f 1\n", + " 103r 0.0000000e+00 3.94e+01 4.33e+02 0.9 2.71e+00 2.2 1.00e+00 1.00e+00f 1\n", + " 104r 0.0000000e+00 3.85e+01 1.22e+03 0.9 1.01e+00 2.6 8.82e-01 8.34e-01f 1\n", + " 105r 0.0000000e+00 3.72e+01 6.56e+02 0.9 3.01e+00 2.2 1.00e+00 4.63e-01f 1\n", + " 106r 0.0000000e+00 3.60e+01 6.56e+02 0.9 1.13e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 107r 0.0000000e+00 3.56e+01 4.62e+02 0.9 4.24e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 108r 0.0000000e+00 3.43e+01 7.14e+02 0.9 1.27e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 109r 0.0000000e+00 3.39e+01 4.25e+02 0.9 4.74e-01 3.0 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 3.24e+01 4.23e+02 0.9 1.42e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 111r 0.0000000e+00 3.19e+01 4.23e+02 0.9 5.30e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 112r 0.0000000e+00 3.17e+01 4.22e+02 0.9 1.99e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 113r 0.0000000e+00 3.11e+01 4.21e+02 0.9 5.95e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 114r 0.0000000e+00 2.94e+01 4.19e+02 0.9 1.78e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 115r 0.0000000e+00 2.87e+01 4.18e+02 0.9 6.64e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 116r 0.0000000e+00 2.84e+01 4.18e+02 0.9 2.49e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 117r 0.0000000e+00 2.77e+01 4.17e+02 0.9 7.45e-01 2.7 1.00e+00 1.00e+00f 1\n", + " 118r 0.0000000e+00 2.55e+01 4.14e+02 0.9 2.22e+00 2.3 1.00e+00 1.00e+00f 1\n", + " 119r 0.0000000e+00 2.10e+01 6.86e+02 0.9 6.52e+00 1.8 9.15e-01 6.97e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 1.49e+01 3.99e+02 0.9 1.85e+01 1.3 1.00e+00 3.31e-01f 1\n", + " 121r 0.0000000e+00 1.40e+01 4.30e+02 0.9 9.01e-01 2.6 1.00e+00 1.00e+00f 1\n", + " 122r 0.0000000e+00 1.13e+01 7.92e+02 0.9 2.68e+00 2.2 1.00e+00 1.00e+00f 1\n", + " 123r 0.0000000e+00 4.69e+00 3.86e+02 0.9 7.82e+00 1.7 1.00e+00 8.45e-01f 1\n", + " 124r 0.0000000e+00 1.93e+00 4.25e+02 0.9 2.91e+00 2.1 1.00e+00 1.00e+00f 1\n", + " 125r 0.0000000e+00 7.71e-01 4.87e+02 0.9 1.08e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 126r 0.0000000e+00 6.44e-01 4.06e+02 0.9 3.08e+00 2.1 1.00e+00 1.72e-01f 1\n", + " 127r 0.0000000e+00 5.24e-01 3.57e+02 0.9 8.91e-01 2.5 1.00e+00 1.91e-01f 1\n", + " 128r 0.0000000e+00 2.78e+00 5.46e+02 0.9 2.23e-01 2.0 1.00e+00 8.32e-01f 1\n", + " 129r 0.0000000e+00 1.34e+00 3.39e+02 0.9 1.28e-01 2.4 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 0.0000000e+00 1.72e-01 1.98e+02 0.9 7.77e-02 2.9 1.00e+00 1.00e+00f 1\n", + " 131r 0.0000000e+00 2.80e-01 5.88e+02 0.2 7.90e-02 2.4 1.00e+00 1.00e+00f 1\n", + " 132r 0.0000000e+00 1.82e-01 1.99e+02 0.2 1.13e-01 1.9 1.00e+00 1.00e+00f 1\n", + " 133r 0.0000000e+00 5.33e-01 2.99e+01 0.2 2.74e-01 1.4 1.00e+00 1.00e+00f 1\n", + " 134r 0.0000000e+00 5.79e-01 1.13e+02 -0.5 7.89e-01 1.0 1.00e+00 7.45e-01f 1\n", + " 135r 0.0000000e+00 1.16e+00 5.65e+02 -0.5 2.32e+00 0.5 3.81e-01 1.60e-01f 1\n", + " 136r 0.0000000e+00 1.10e+00 9.75e+02 -0.5 3.18e+00 0.0 6.08e-01 1.13e-01f 1\n", + " 137r 0.0000000e+00 2.01e+00 9.67e+02 -0.5 8.42e+01 -0.5 9.66e-03 1.21e-02f 1\n", + " 138r 0.0000000e+00 1.03e+00 4.63e+02 -0.5 5.37e-01 0.9 1.00e+00 3.73e-01f 1\n", + " 139r 0.0000000e+00 2.65e+01 2.71e+02 -0.5 1.05e+00 0.4 1.00e+00 5.65e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 0.0000000e+00 2.25e+01 7.87e+02 -0.5 3.54e+00 -0.1 1.00e+00 1.37e-01f 1\n", + " 141r 0.0000000e+00 1.80e+01 6.16e+02 -0.5 4.66e+01 - 1.70e-01 2.13e-01f 1\n", + " 142r 0.0000000e+00 1.69e+01 7.42e+02 -0.5 5.18e+00 -0.6 4.66e-01 6.01e-02f 1\n", + " 143r 0.0000000e+00 1.65e+01 7.16e+02 -0.5 2.30e+01 -1.1 5.10e-02 2.86e-02f 1\n", + " 144r 0.0000000e+00 1.48e+01 6.04e+02 -0.5 3.75e+01 - 7.96e-01 1.03e-01f 1\n", + " 145r 0.0000000e+00 2.27e+00 8.85e+01 -0.5 3.42e+01 - 1.00e+00 1.00e+00f 1\n", + " 146r 0.0000000e+00 2.68e-01 8.52e+01 -0.5 6.45e-01 - 1.00e+00 1.00e+00h 1\n", + " 147r 0.0000000e+00 8.45e-01 1.41e+02 -0.5 4.70e-01 - 1.00e+00 1.00e+00h 1\n", + " 148r 0.0000000e+00 2.56e-01 3.70e+01 -0.5 2.08e-01 - 1.00e+00 1.00e+00h 1\n", + " 149r 0.0000000e+00 6.55e-02 6.15e+00 -0.5 1.05e-01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r 0.0000000e+00 1.35e+00 7.80e+02 -1.2 7.08e+00 - 2.44e-01 1.22e-01f 1\n", + " 151r 0.0000000e+00 1.72e+00 6.30e+02 -1.2 6.32e+01 - 5.80e-01 4.83e-01f 1\n", + " 152r 0.0000000e+00 1.49e+00 4.71e+02 -1.2 3.25e+01 - 5.19e-01 2.54e-01f 1\n", + " 153r 0.0000000e+00 1.31e+00 3.97e+02 -1.2 2.40e+01 - 6.77e-01 3.80e-01f 1\n", + " 154r 0.0000000e+00 2.03e+00 1.65e+02 -1.2 1.45e+01 - 1.00e+00 9.53e-01f 1\n", + " 155r 0.0000000e+00 1.15e+01 1.71e+02 -1.2 4.24e+00 - 1.00e+00 1.00e+00f 1\n", + " 156r 0.0000000e+00 1.25e+00 9.40e+01 -1.2 2.00e+00 - 1.00e+00 1.00e+00h 1\n", + " 157r 0.0000000e+00 7.59e-01 1.52e+02 -1.2 6.42e-01 - 5.43e-01 3.92e-01h 1\n", + " 158r 0.0000000e+00 2.39e-03 2.57e+02 -1.2 1.92e-02 2.1 1.00e+00 1.00e+00f 1\n", + " 159r 0.0000000e+00 1.97e-03 7.02e+01 -1.2 5.12e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r 0.0000000e+00 1.97e-03 2.97e-01 -1.2 7.11e-02 - 1.00e+00 1.00e+00h 1\n", + " 161r 0.0000000e+00 1.11e+00 2.13e+02 -2.9 1.71e+00 - 8.41e-01 4.10e-01f 1\n", + " 162r 0.0000000e+00 1.08e+00 4.63e+02 -2.9 4.83e+01 - 6.32e-01 2.75e-02f 1\n", + " 163r 0.0000000e+00 9.90e-01 1.78e+02 -2.9 1.19e+00 - 4.74e-01 5.56e-01f 1\n", + " 164r 0.0000000e+00 7.48e-01 1.97e+02 -2.9 6.74e-01 - 6.69e-01 2.83e-01f 1\n", + " 165r 0.0000000e+00 5.01e-01 1.41e+02 -2.9 5.27e-01 - 7.05e-01 3.87e-01f 1\n", + " 166r 0.0000000e+00 3.70e-01 1.22e+02 -2.9 4.17e-01 - 4.17e-01 2.87e-01f 1\n", + " 167r 0.0000000e+00 2.45e-01 1.68e+02 -2.9 3.56e-01 - 8.63e-01 3.81e-01f 1\n", + " 168r 0.0000000e+00 2.07e-01 1.42e+02 -2.9 2.84e-01 - 1.95e-01 1.65e-01f 1\n", + " 169r 0.0000000e+00 1.36e-01 1.01e+02 -2.9 2.62e-01 - 6.91e-01 3.90e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r 0.0000000e+00 1.24e-01 2.91e+02 -2.9 2.12e-01 - 2.10e-01 9.36e-02f 1\n", + " 171r 0.0000000e+00 9.73e-02 1.42e+02 -2.9 2.04e-01 - 6.24e-01 2.36e-01f 1\n", + " 172r 0.0000000e+00 8.42e-02 1.05e+02 -2.9 1.86e-01 - 1.36e-01 1.43e-01f 1\n", + " 173r 0.0000000e+00 4.37e-02 8.05e+01 -2.9 1.76e-01 - 4.25e-01 6.47e-01f 1\n", + " 174r 0.0000000e+00 3.95e-02 7.40e+01 -2.9 1.33e-01 - 1.29e-01 1.00e-01f 1\n", + " 175r 0.0000000e+00 3.42e-02 5.46e+02 -2.9 1.28e-01 - 1.00e+00 1.44e-01f 1\n", + " 176r 0.0000000e+00 2.29e-02 2.52e+02 -2.9 1.21e-01 - 7.48e-02 4.14e-01f 1\n", + " 177r 0.0000000e+00 1.80e-02 2.39e+02 -2.9 1.06e-01 - 6.01e-01 2.52e-01f 1\n", + " 178r 0.0000000e+00 1.56e-02 2.05e+02 -2.9 9.78e-02 - 1.60e-01 1.48e-01f 1\n", + " 179r 0.0000000e+00 1.28e-02 4.92e+02 -2.9 9.37e-02 - 7.52e-01 2.05e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r 0.0000000e+00 9.44e-03 3.04e+02 -2.9 8.69e-02 - 3.81e-01 3.52e-01f 1\n", + " 181r 0.0000000e+00 7.89e-03 2.41e+02 -2.9 7.83e-02 - 1.53e-01 1.95e-01f 1\n", + " 182r 0.0000000e+00 6.12e-03 2.08e+02 -2.9 7.36e-02 - 7.30e-01 2.99e-01f 1\n", + " 183r 0.0000000e+00 4.76e-03 1.23e+02 -2.9 6.37e-02 - 1.94e-01 2.89e-01f 1\n", + " 184r 0.0000000e+00 3.92e-03 1.13e+02 -2.9 5.96e-02 - 1.71e-01 2.21e-01f 1\n", + " 185r 0.0000000e+00 3.11e-03 4.28e+02 -2.9 5.67e-02 - 1.00e+00 2.89e-01f 1\n", + " 186r 0.0000000e+00 2.46e-03 2.92e+02 -2.9 5.16e-02 - 2.91e-01 3.14e-01f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 187r 0.0000000e+00 1.93e-03 1.96e+02 -2.9 4.74e-02 - 3.06e-01 3.46e-01f 1\n", + " 188r 0.0000000e+00 1.53e-03 1.42e+02 -2.9 4.08e-02 - 3.45e-01 2.95e-01f 1\n", + " 189r 0.0000000e+00 1.20e-03 8.78e+01 -2.9 3.66e-02 - 2.91e-01 3.21e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r 0.0000000e+00 9.60e-04 6.68e+01 -2.9 3.02e-02 - 2.74e-01 2.52e-01f 1\n", + " 191r 0.0000000e+00 7.63e-04 1.15e+02 -2.9 2.29e-02 - 3.31e-01 2.38e-01f 1\n", + " 192r 0.0000000e+00 4.71e-04 7.48e+01 -2.9 1.14e-02 - 4.70e-01 4.15e-01f 1\n", + " 193r 0.0000000e+00 2.53e-06 2.35e+00 -2.9 8.09e-04 - 9.91e-01 1.00e+00f 1\n", + " 194r 0.0000000e+00 2.29e-06 8.67e-01 -2.9 7.07e-04 - 1.00e+00 1.00e+00h 1\n", + " 195r 0.0000000e+00 2.33e-06 1.39e-03 -2.9 2.87e-05 - 1.00e+00 1.00e+00h 1\n", + " 196r 0.0000000e+00 2.12e-04 2.76e+02 -6.5 2.93e-02 - 9.97e-01 4.47e-01f 1\n", + " 197r 0.0000000e+00 5.84e-05 6.66e+01 -6.5 4.18e-03 - 9.83e-01 8.16e-01f 1\n", + " 198r 0.0000000e+00 3.11e-06 5.84e+00 -6.5 1.37e-03 - 9.23e-01 1.00e+00f 1\n", + " 199r 0.0000000e+00 4.66e-10 1.61e-06 -6.5 3.62e-06 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 199\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.3605725381221505e-11 4.6566128730773926e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.3605725381221505e-11 4.6566128730773926e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 202\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 202\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 201\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 199\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 19.205\n", + "Total CPU secs in NLP function evaluations = 10.153\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [0.000199428298248, 4.1356555006815e-05, 4.188736671388932e-05, 4.2401104797183175e-05, 4.285569220806343e-05, 4.325400484445198e-05, 4.361037241511444e-05, 4.392638518188518e-05, 4.42214287432216e-05, 4.4498553234770536e-05, 4.4787529871540535e-05, 4.510213404069607e-05, 4.549844159437942e-05, 4.602318926355896e-05, 4.6796787634008955e-05, 4.796270681398276e-05, 4.9779841416334704e-05, 5.2684437320666156e-05, 5.7180426729752376e-05, 6.456477013651732e-05, 7.56643416346777e-05, 9.399281126615333e-05, 0.00012062972129070754, 0.00016360664920564487, 0.0002243071932991006, 0.0003169485294957881, 0.00044627184954689056, 0.0006277163350622344, 0.0008848604344951678, 0.0012107406338846814, 0.0016894721100994387, 0.0022409129135743484, 0.0030745132052272996, 0.003978052946524818, 0.005327301704909503, 0.006788549280033763, 0.008807560935188356, 0.0111717402704241, 0.014008102827123193, 0.018431808199408248, 0.02276254933878451, 0.026859042338969293, 0.030687223638211435, 0.03423242685288259, 0.037492686044980246, 0.04047439278515145, 0.043189286399368566, 0.0456523490721536, 0.04788033276603717, 0.04989073458705112, 0.05170109324132735, 0.05332851629855062, 0.054789373416549346, 0.05609910855474791, 0.057272136967126616, 0.05832180198474981, 0.05926037331402374, 0.06009907349969042, 0.06084812282598876, 0.06151679560577884, 0.06211348278693809, 0.06264575726995504, 0.06312043941326431, 0.06354366100121994, 0.06392092653600379, 0.06425717114293782, 0.06455681468871487, 0.06482381193397686, 0.0650616986979912]\n", + "Build time with sequential_finite mode [s]: 11.773624897003174\n", + "Solve time with sequential_finite mode [s]: 273.7505044937134\n", + "Existed information has been added.\n", + "FIM: [[ 1.75708086e-03 -1.05841985e-05]\n", + " [-1.05841985e-05 6.54887904e-08]]\n", + "Trace: 0.0017571463515329228\n", + "Determinant: 3.0438421555175097e-12\n", + "Condition number: 1014361.8017187293\n", + "Minimal eigen value: 1.7322661562072525e-09\n", + "Eigen values: [1.75714462e-03 1.73226616e-09]\n", + "Eigen vectors: [[ 0.99998186 0.00602364]\n", + " [-0.00602364 0.99998186]]\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " measurement, t_measure, model_integrate,\n", - " prior_FIM=prior_pass, discretize_model=discretize, args=args_)\n", + " prior_FIM=prior_pass, discretize_model=None, args=args_)\n", "\n", "if_s = True \n", "\n", @@ -246,6 +1937,42 @@ "else: \n", " result.calculate_FIM(doe_object.jac, doe_object.design_values)" ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "6de9d17a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "Four design criteria log10() value:\n", + "A-optimality: -2.7551920649041515\n", + "D-optimality: -11.516577872520761\n", + "E-optimality: -8.761385379471282\n", + "Modified E-optimality: 6.0061928864218\n" + ] + } + ], + "source": [ + "print('======Result summary======')\n", + "print('Four design criteria log10() value:')\n", + "print('A-optimality:', np.log10(result.trace))\n", + "print('D-optimality:', np.log10(result.det))\n", + "print('E-optimality:', np.log10(result.min_eig))\n", + "print('Modified E-optimality:', np.log10(result.cond))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e59e7e05", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From 45952a56bf9c17cf740557d38d8c89b693548acf Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sat, 18 Sep 2021 12:52:45 -0400 Subject: [PATCH 31/42] generalize the case where the design variables are not indexed by time --- .../contrib/doe/design_of_exp_brute_v2.ipynb | 249 +- pyomo/contrib/doe/fim_doe.py | 58 +- pyomo/contrib/doe/fixed_bed_doe.ipynb | 2101 ++++------------- 3 files changed, 492 insertions(+), 1916 deletions(-) diff --git a/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb b/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb index 67c40e75cf6..c41928b0911 100644 --- a/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb +++ b/pyomo/contrib/doe/design_of_exp_brute_v2.ipynb @@ -275,7 +275,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -286,20 +286,20 @@ "\n", "scena_all = {'scena-name': [0], 'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", "\n", - "#init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", + "init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", "#init_point = '20210916_feed313_bath293.csv'\n", "#init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/fixed_bed_initial/T353y20_5e3.csv'\n", - "init_point = '20210916_feed293_bath313_5e4.csv'\n", + "#init_point = '20210916_feed293_bath313_5e4.csv'\n", "#init_point = 'init_test.csv'\n", "#init_point = 'T353y20_5e3.csv'\n", "\n", "doe_model_opt = True\n", - "k_aug_opt=False" + "k_aug_opt=True" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": { "scrolled": true }, @@ -310,205 +310,9 @@ "text": [ "The inlet feed density is 38.40726649935368 [mol/m3]\n", "the number of timepoints is 68\n", - "The init point is 20210916_feed293_bath313_5e4.csv\n", + "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", "Model # of time grid is 69 , initial point # of time grid is 69\n", - "wangjialudeMacBook-Pro.local\n", - "Loading custom Ipopt...\n", - "Ipopt 3.13.3: linear_solver=ma57\n", - "tol=1e-08\n", - "max_iter=3000\n", - "halt_on_ampl_error=yes\n", - "print_level=5\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.79e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (15866590)\n", - "Reallocating memory for MA57: lfact (17891442)\n", - " 1 0.0000000e+00 2.64e+01 2.16e+01 -1.0 5.73e+00 - 8.01e-01 5.24e-02h 1\n", - " 2 0.0000000e+00 2.64e+01 1.86e+04 -1.0 5.43e+00 - 5.50e-01 7.04e-04h 1\n", - " 3r 0.0000000e+00 2.64e+01 1.00e+03 1.4 0.00e+00 - 0.00e+00 4.41e-07R 5\n", - " 4r 0.0000000e+00 6.65e+00 9.98e+02 1.4 2.62e+04 - 1.67e-02 9.96e-04f 1\n", - " 5r 0.0000000e+00 1.17e+00 9.81e+02 0.7 3.59e+02 - 7.81e-03 1.76e-02f 1\n", - " 6r 0.0000000e+00 1.12e+00 9.66e+02 0.7 2.73e+01 - 1.23e-02 2.62e-02f 1\n", - " 7r 0.0000000e+00 1.05e+00 9.34e+02 0.7 5.60e+00 - 3.28e-02 4.33e-02f 1\n", - " 8r 0.0000000e+00 4.13e+00 5.81e+02 0.7 4.61e+00 - 3.76e-01 9.20e-02f 1\n", - " 9r 0.0000000e+00 1.82e+02 1.54e+04 0.7 3.19e+00 - 4.92e-01 5.12e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.09e+02 4.92e+04 0.7 3.26e-01 4.0 8.03e-01 4.79e-01f 1\n", - " 11r 0.0000000e+00 1.02e+02 5.04e+04 0.7 8.95e-01 4.4 6.86e-02 6.85e-02f 1\n", - " 12r 0.0000000e+00 9.78e+01 4.86e+04 0.7 1.30e+00 3.9 2.84e-01 4.33e-02f 1\n", - " 13r 0.0000000e+00 9.23e+01 4.81e+04 0.7 6.36e-01 4.4 4.20e-02 5.82e-02f 1\n", - " 14r 0.0000000e+00 8.33e+01 4.34e+04 0.7 7.25e-01 3.9 1.06e-01 1.01e-01f 1\n", - " 15r 0.0000000e+00 8.14e+01 4.39e+04 0.7 5.60e-01 5.2 2.86e-02 2.39e-02f 1\n", - " 16r 0.0000000e+00 7.31e+01 6.00e+04 0.7 6.14e-01 4.7 7.88e-02 1.06e-01f 1\n", - " 17r 0.0000000e+00 6.96e+01 1.01e+05 0.7 5.48e-01 5.2 4.73e-02 4.86e-02f 1\n", - " 18r 0.0000000e+00 5.97e+01 1.80e+05 0.7 6.11e-01 4.7 7.14e-02 1.51e-01f 1\n", - " 19r 0.0000000e+00 4.82e+01 1.73e+05 0.7 6.93e-01 4.2 1.25e-01 2.09e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 4.80e+01 1.72e+05 0.7 2.08e+00 3.7 3.57e-02 4.35e-03f 1\n", - " 21r 0.0000000e+00 4.35e+01 1.60e+05 0.7 6.40e-01 4.2 1.25e-01 9.69e-02f 1\n", - " 22r 0.0000000e+00 4.30e+01 1.58e+05 0.7 9.31e+00 3.7 1.08e-02 1.28e-02f 1\n", - " 23r 0.0000000e+00 4.02e+01 1.60e+05 0.7 5.04e-01 5.0 7.62e-02 6.70e-02f 1\n", - " 24r 0.0000000e+00 3.15e+01 2.54e+05 0.7 6.24e-01 4.5 8.10e-02 2.38e-01f 1\n", - " 25r 0.0000000e+00 2.76e+01 2.28e+05 0.7 7.05e-01 4.1 1.20e-01 1.31e-01f 1\n", - " 26r 0.0000000e+00 2.31e+01 2.16e+05 0.7 5.90e-01 4.5 1.19e-01 1.75e-01f 1\n", - " 27r 0.0000000e+00 2.15e+01 2.32e+05 0.7 5.83e-01 4.9 6.74e-02 7.28e-02f 1\n", - " 28r 0.0000000e+00 1.76e+01 2.68e+05 0.7 7.05e-01 4.4 1.11e-01 1.97e-01f 1\n", - " 29r 0.0000000e+00 1.33e+01 2.24e+05 0.7 8.18e-01 4.0 4.91e-01 2.76e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.12e+01 2.22e+05 0.7 6.14e-01 4.4 1.85e-01 1.78e-01f 1\n", - " 31r 0.0000000e+00 9.00e+00 1.98e+05 0.7 8.12e-01 3.9 3.41e-01 2.16e-01f 1\n", - " 32r 0.0000000e+00 7.80e+00 1.92e+05 0.7 6.86e-01 4.3 6.97e-02 1.45e-01f 1\n", - " 33r 0.0000000e+00 5.67e+00 1.64e+05 0.7 7.40e-01 3.9 1.42e-01 3.32e-01f 1\n", - " 34r 0.0000000e+00 5.22e+00 1.52e+05 0.7 1.35e+00 3.4 2.52e-01 8.08e-02f 1\n", - " 35r 0.0000000e+00 2.99e+00 1.80e+05 0.7 8.37e-01 3.8 1.68e-01 4.94e-01f 1\n", - " 36r 0.0000000e+00 2.70e+00 1.64e+05 0.7 7.25e-01 3.3 3.94e-01 9.42e-02f 1\n", - " 37r 0.0000000e+00 2.52e+00 1.54e+05 0.7 2.32e+00 2.9 7.09e-01 6.20e-02f 1\n", - " 38r 0.0000000e+00 2.08e+00 1.29e+05 0.7 1.65e+00 2.4 4.81e-01 1.67e-01f 1\n", - " 39r 0.0000000e+00 1.58e+00 1.02e+05 0.7 4.29e-01 2.8 1.00e+00 2.27e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 3.20e-01 1.76e+04 0.7 2.93e-01 2.3 6.92e-01 1.00e+00f 1\n", - " 41r 0.0000000e+00 3.76e-02 1.78e+03 0.7 4.03e-02 3.7 1.00e+00 1.00e+00f 1\n", - " 42r 0.0000000e+00 3.70e-02 2.78e+02 0.7 2.22e-02 3.2 1.00e+00 1.00e+00f 1\n", - " 43r 0.0000000e+00 1.24e+00 2.04e+02 0.7 9.33e-02 2.7 1.00e+00 1.00e+00f 1\n", - " 44r 0.0000000e+00 5.20e-01 3.60e+02 0.0 5.50e-02 3.1 9.81e-01 8.39e-01f 1\n", - " 45r 0.0000000e+00 4.76e-01 1.61e+02 0.0 4.38e-02 3.6 1.00e+00 1.00e+00f 1\n", - " 46r 0.0000000e+00 7.84e-01 4.08e+02 0.0 1.45e-01 3.1 1.00e+00 2.44e-01f 1\n", - " 47r 0.0000000e+00 7.73e-01 3.58e+02 0.0 1.19e-01 2.6 1.00e+00 1.00e+00f 1\n", - " 48r 0.0000000e+00 5.14e+00 1.02e+03 0.0 1.96e-01 3.0 1.00e+00 4.52e-01f 1\n", - " 49r 0.0000000e+00 1.59e+00 6.16e+02 0.0 1.05e-01 2.6 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 6.27e-01 3.26e+02 0.0 8.46e-02 3.0 1.00e+00 6.71e-01f 1\n", - " 51r 0.0000000e+00 1.78e+00 2.14e+02 0.0 6.79e-02 3.4 1.00e+00 1.00e+00f 1\n", - " 52r 0.0000000e+00 8.40e-01 4.44e+02 0.0 1.58e-02 2.9 1.00e+00 4.79e-01f 1\n", - " 53r 0.0000000e+00 1.75e+01 3.90e+02 0.0 1.18e+01 - 1.12e-01 1.20e-01f 1\n", - " 54r 0.0000000e+00 1.03e+01 3.27e+02 0.0 2.74e-01 2.4 4.11e-01 5.19e-01f 1\n", - " 55r 0.0000000e+00 4.13e+00 4.11e+01 0.0 1.71e-01 2.0 1.00e+00 1.00e+00f 1\n", - " 56r 0.0000000e+00 2.81e+00 1.29e+03 -0.7 1.78e+00 1.5 6.86e-01 4.29e-01f 1\n", - " 57r 0.0000000e+00 7.38e+00 9.47e+02 -0.7 2.96e+00 - 5.18e-01 2.85e-01f 1\n", - " 58r 0.0000000e+00 1.32e+00 3.74e+02 -0.7 5.75e-01 1.0 1.00e+00 7.46e-01f 1\n", - " 59r 0.0000000e+00 7.99e-01 3.83e+02 -0.7 2.02e+00 - 1.00e+00 4.54e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 9.52e-01 2.16e+02 -0.7 7.53e-01 - 1.00e+00 6.64e-01f 1\n", - " 61r 0.0000000e+00 3.84e-01 4.19e+02 -0.7 3.35e-01 - 9.10e-01 9.72e-01f 1\n", - " 62r 0.0000000e+00 2.57e-02 3.98e+02 -0.7 7.57e-02 2.3 1.00e+00 1.00e+00f 1\n", - " 63r 0.0000000e+00 1.56e-02 6.17e+02 -0.7 5.80e-01 - 1.00e+00 3.91e-01f 1\n", - " 64r 0.0000000e+00 9.40e-03 2.80e+02 -0.7 7.10e-02 - 1.00e+00 1.00e+00f 1\n", - " 65r 0.0000000e+00 9.41e-03 1.28e+00 -0.7 1.86e-02 - 1.00e+00 1.00e+00h 1\n", - " 66r 0.0000000e+00 6.34e-01 1.80e+02 -2.1 1.51e+00 - 8.89e-01 2.73e-01f 1\n", - " 67r 0.0000000e+00 1.30e+00 1.63e+02 -2.1 1.52e+00 - 9.86e-01 4.12e-01f 1\n", - " 68r 0.0000000e+00 1.30e+00 1.65e+02 -2.1 1.12e+00 - 7.99e-01 4.49e-01f 1\n", - " 69r 0.0000000e+00 1.16e+00 1.76e+02 -2.1 8.62e-01 - 1.00e+00 4.75e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 8.95e-01 1.59e+02 -2.1 7.21e-01 - 7.72e-01 2.98e-01f 1\n", - " 71r 0.0000000e+00 7.16e-01 2.18e+02 -2.1 6.08e-01 - 1.02e-01 4.57e-01f 1\n", - " 72r 0.0000000e+00 5.51e-01 8.95e+01 -2.1 5.17e-01 - 4.43e-01 5.62e-01f 1\n", - " 73r 0.0000000e+00 4.91e-01 1.75e+02 -2.1 4.25e-01 - 2.79e-01 1.27e-01f 1\n", - " 74r 0.0000000e+00 3.61e-01 8.13e+01 -2.1 3.94e-01 - 5.35e-01 4.92e-01f 1\n", - " 75r 0.0000000e+00 3.61e-01 8.12e+01 -2.1 1.77e+01 - 1.34e-03 1.25e-03h 1\n", - " 76r 0.0000000e+00 2.59e-01 6.08e+01 -2.1 3.08e-01 - 4.52e-01 4.15e-01f 1\n", - " 77r 0.0000000e+00 2.25e-01 1.16e+02 -2.1 2.90e-01 - 2.53e-01 1.48e-01f 1\n", - " 78r 0.0000000e+00 1.65e-01 2.85e+02 -2.1 5.33e-02 1.9 1.13e-01 2.65e-01f 1\n", - " 79r 0.0000000e+00 1.56e-01 2.68e+02 -2.1 2.96e-01 - 5.10e-02 5.66e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 1.26e-01 2.28e+02 -2.1 2.80e-01 - 4.60e-01 2.86e-01f 1\n", - " 81r 0.0000000e+00 1.07e-01 1.83e+02 -2.1 2.71e-01 - 2.02e-01 2.13e-01f 1\n", - " 82r 0.0000000e+00 9.44e-02 1.53e+02 -2.1 2.62e-01 - 1.27e-01 2.25e-01f 1\n", - " 83r 0.0000000e+00 9.03e-02 1.45e+02 -2.1 6.41e-01 1.4 5.70e-02 4.39e-02f 1\n", - " 84r 0.0000000e+00 6.32e-02 1.07e+02 -2.1 3.40e-02 1.8 2.69e-01 2.99e-01f 1\n", - " 85r 0.0000000e+00 4.08e-02 8.47e+01 -2.1 6.75e-02 1.3 2.82e-01 3.58e-01f 1\n", - " 86r 0.0000000e+00 2.55e-02 6.37e+01 -2.1 3.82e-02 1.8 3.39e-01 3.77e-01f 1\n", - " 87r 0.0000000e+00 2.11e-02 4.16e+02 -2.1 6.49e-02 1.3 1.00e+00 1.73e-01f 1\n", - " 88r 0.0000000e+00 6.04e-02 3.54e+02 -2.1 8.15e-01 - 1.17e-01 1.45e-01f 1\n", - " 89r 0.0000000e+00 6.02e-02 5.15e+02 -2.1 4.42e+00 - 1.07e-02 2.79e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 6.02e-02 3.55e+02 -2.1 5.46e+00 - 2.29e-03 7.41e-03f 1\n", - " 91r 0.0000000e+00 5.97e-02 2.96e+02 -2.1 3.27e-01 - 1.96e-01 1.71e-01f 1\n", - " 92r 0.0000000e+00 5.90e-02 2.90e+02 -2.1 1.67e+00 - 1.81e-02 1.87e-02f 1\n", - " 93r 0.0000000e+00 5.43e-02 2.53e+02 -2.1 2.31e-01 - 1.40e-01 1.33e-01f 1\n", - " 94r 0.0000000e+00 5.39e-02 2.48e+02 -2.1 2.84e+00 - 7.31e-03 1.07e-02f 1\n", - " 95r 0.0000000e+00 4.98e-02 4.33e+02 -2.1 2.72e-01 - 8.31e-02 1.26e-01f 1\n", - " 96r 0.0000000e+00 2.75e-02 2.27e+02 -2.1 6.52e-02 0.8 4.79e-01 4.77e-01f 1\n", - " 97r 0.0000000e+00 2.75e-02 2.18e+02 -2.1 8.39e-01 - 5.28e-02 3.93e-02f 1\n", - " 98r 0.0000000e+00 2.35e-02 2.01e+02 -2.1 1.37e-01 0.3 2.78e-01 1.94e-01f 1\n", - " 99r 0.0000000e+00 2.48e-02 1.80e+02 -2.1 3.87e-01 - 8.74e-02 1.00e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 2.39e-02 1.77e+02 -2.1 7.00e-01 -0.1 7.51e-02 5.47e-02f 1\n", - " 101r 0.0000000e+00 2.38e-02 1.76e+02 -2.1 3.17e+00 - 1.13e-02 1.00e-02f 1\n", - " 102r 0.0000000e+00 2.49e-02 1.47e+02 -2.1 2.93e-01 - 1.14e-01 1.36e-01f 1\n", - " 103r 0.0000000e+00 2.65e-02 1.33e+02 -2.1 3.87e-01 - 1.15e-01 1.07e-01f 1\n", - " 104r 0.0000000e+00 2.05e-02 7.07e+01 -2.1 1.69e-01 0.3 4.27e-01 4.64e-01f 1\n", - " 105r 0.0000000e+00 2.09e-02 7.02e+01 -2.1 8.82e+00 - 6.78e-03 6.91e-03f 1\n", - " 106r 0.0000000e+00 2.20e-02 1.63e+02 -2.1 5.56e-01 - 6.97e-02 4.72e-02f 1\n", - " 107r 0.0000000e+00 2.27e-02 1.62e+02 -2.1 2.75e+01 - 1.79e-03 1.86e-03f 1\n", - " 108r 0.0000000e+00 2.38e-02 1.44e+02 -2.1 3.07e-01 - 1.11e-01 1.10e-01f 1\n", - " 109r 0.0000000e+00 3.13e-02 1.50e+02 -2.1 1.67e-01 - 5.89e-01 4.69e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 1.15e-02 7.44e+01 -2.1 4.26e-02 - 9.00e-01 7.53e-01f 1\n", - " 111r 0.0000000e+00 1.72e-04 1.59e+01 -2.1 4.12e-03 - 9.75e-01 1.00e+00f 1\n", - " 112r 0.0000000e+00 1.72e-04 3.12e-01 -2.1 4.13e-04 - 1.00e+00 1.00e+00h 1\n", - " 113r 0.0000000e+00 1.45e-02 2.42e+02 -3.1 2.29e-01 - 1.00e+00 3.09e-01f 1\n", - " 114r 0.0000000e+00 1.36e-02 3.59e+02 -3.1 1.06e-01 - 1.00e+00 3.28e-01f 1\n", - " 115r 0.0000000e+00 6.47e-03 1.78e+02 -3.1 3.61e-02 - 1.00e+00 6.76e-01f 1\n", - " 116r 0.0000000e+00 2.17e-04 1.89e-01 -3.1 6.94e-03 - 1.00e+00 1.00e+00f 1\n", - " 117r 0.0000000e+00 1.34e-06 1.11e-02 -3.1 2.34e-04 - 1.00e+00 1.00e+00h 1\n", - " 118r 0.0000000e+00 1.03e-05 3.44e+01 -4.7 2.25e-03 - 1.00e+00 8.06e-01f 1\n", - " 119r 0.0000000e+00 2.25e-06 6.27e+01 -4.7 9.10e-05 - 9.60e-01 7.82e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 0.0000000e+00 7.60e-08 1.20e-03 -4.7 1.56e-04 - 1.00e+00 1.00e+00f 1\n", - " 121r 0.0000000e+00 3.63e-08 7.96e-07 -4.7 1.36e-06 - 1.00e+00 1.00e+00h 1\n", - " 122r 0.0000000e+00 6.94e-09 3.91e+01 -7.0 5.51e-06 - 1.00e+00 7.88e-01f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Number of Iterations....: 122\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 6.9428373156040508e-09 6.9428373156040508e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 6.9428373156040508e-09 6.9428373156040508e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 128\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 128\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 124\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 122\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 59.763\n", - "Total CPU secs in NLP function evaluations = 6.606\n", - "\n", - "EXIT: Optimal Solution Found.\n" + "Total time: 191.542062997818\n" ] } ], @@ -547,17 +351,9 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.000199428298248\n" - ] - } - ], + "outputs": [], "source": [ "print(value(test.FCO2[0, 0, 0]))" ] @@ -573,7 +369,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -680,30 +476,9 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_10026/3584945634.py:56: UserWarning: color is redundantly defined by the 'color' keyword argument and the fmt string \"b.\" (-> color='b'). The keyword argument will take precedence.\n", - " plt.plot(exp['time']*60, exp['FCO2'],'b.', color='r', label='Experimental data')\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "breakthrough_modify2(test)" ] diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index de0fc908a46..019c726454e 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -354,7 +354,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No output_combine = [] for j in self.measurement_variables: for t in self.measurement_timeset: - C_value = eval('mod.' + j + '[0,19,' + str(t) + ']') + C_value = eval('mod.' + j + '[0,' + str(t) + ']') output_combine.append(value(C_value)) output_record[no_s] = output_combine @@ -478,16 +478,16 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No else: # if it is not fixed, record its perturbed value if self.mode =='sequential_sipopt': - perturb_value = eval('m_sipopt.sens_sol_state_1[m_sipopt.' + j + '[0,' + str(t) + ']]') + perturb_value = eval('m_sipopt.sens_sol_state_1[m_sipopt.' + j + '[0,19' + str(t) + ']]') else: - perturb_value = eval('m_sipopt.' + j + '[0,' + str(t) + ']()') + perturb_value = eval('m_sipopt.' + j + '[0,19' + str(t) + ']()') perturb_mea.append(perturb_value) # base case values if self.mode =='sequential_sipopt': - base_value = eval('m_sipopt.'+j+'[0,' + str(t) + '].value') + base_value = eval('m_sipopt.'+j+'[0,19' + str(t) + '].value') else: - base_value = value(eval('mod.' + j + '[0,' + str(t) + ']')) + base_value = value(eval('mod.' + j + '[0,19' + str(t) + ']')) base_mea.append(base_value) @@ -585,6 +585,8 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No dsdp_array = dsdp_re.toarray().T # here for construction. Remove after finishing. dd = pd.DataFrame(dsdp_array) + # here for fixed bed + self.dsdp = dsdp_array # store dsdp returned dsdp_extract = [] # get right lines from results @@ -596,27 +598,27 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No for mname in self.measurement_variables: for tim in measurement_accurate_time: # get the measurement name in the model - measure_name = mname+'[0,'+str(tim)+']' + measure_name = mname+'[0,19,'+str(tim)+']' measurement_names.append(measure_name) # get right line number in kaug results - if self.discretize_model is not None: + #if self.discretize_model is not None: # for DAE model, some variables are fixed - try: - kaug_no = col.index(measure_name) - measurement_index.append(kaug_no) - # get right line of dsdp - dsdp_extract.append(dsdp_array[kaug_no]) - except: - if self.verbose: - print('The variable is fixed:', measure_name) - # for fixed variables, the sensitivity are a zero vector - dsdp_extract.append(zero_sens) - else: + try: kaug_no = col.index(measure_name) measurement_index.append(kaug_no) # get right line of dsdp dsdp_extract.append(dsdp_array[kaug_no]) - + except: + if self.verbose: + print('The variable is fixed:', measure_name) + # for fixed variables, the sensitivity are a zero vector + dsdp_extract.append(zero_sens) + #else: + # kaug_no = col.index(measure_name) + # measurement_index.append(kaug_no) + # get right line of dsdp + # dsdp_extract.append(dsdp_array[kaug_no]) + print('dsdp extract is:', dsdp_extract) # Extract and calculate sensitivity if scaled by constants or parameters. # Convert sensitivity to a dictionary jac = {} @@ -1096,20 +1098,20 @@ def __fix_design(self, m, design_val, fix_opt=True): ''' # loop over the design variables and time index and to fix values specified in design_val for d, dname in enumerate(self.design_name): - newvar = eval('m.' + dname) - fix_v = design_val[dname][0] + # if design variables are indexed by time + if self.design_time[d] is not None: + for t, time in enumerate(self.design_time[d]): + newvar = eval('m.' + dname + '[' + str(time) + ']') + fix_v = design_val[dname][time] + else: + newvar = eval('m.' + dname) + fix_v = design_val[dname][0] + if fix_opt: newvar.fix(fix_v) print(newvar, 'is fixed at ', fix_v) else: newvar.unfix() - #for t, time in enumerate(self.design_time[d]): - # newvar = eval('m.' + dname + '[' + str(time) + ']') - # fix_v = design_val[dname][time] - # if fix_opt: - # newvar.fix(fix_v) - # else: - # newvar.unfix() return m def __solve_with_default_ipopt(self): diff --git a/pyomo/contrib/doe/fixed_bed_doe.ipynb b/pyomo/contrib/doe/fixed_bed_doe.ipynb index 99d21c86e77..f4a7f8a005e 100644 --- a/pyomo/contrib/doe/fixed_bed_doe.ipynb +++ b/pyomo/contrib/doe/fixed_bed_doe.ipynb @@ -3,7 +3,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "3bea7016", + "id": "2d01b8bc", "metadata": {}, "outputs": [ { @@ -33,7 +33,7 @@ }, { "cell_type": "markdown", - "id": "9b7c5fdd", + "id": "25b91bae", "metadata": {}, "source": [ "## Define fixed bed model " @@ -42,7 +42,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "55efbd74", + "id": "d2cea484", "metadata": {}, "outputs": [ { @@ -64,7 +64,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "14e627bb", + "id": "8e9778ed", "metadata": {}, "outputs": [], "source": [ @@ -113,8 +113,8 @@ }, { "cell_type": "code", - "execution_count": 10, - "id": "7bd5f9b0", + "execution_count": 4, + "id": "8053fc28", "metadata": {}, "outputs": [], "source": [ @@ -135,8 +135,8 @@ }, { "cell_type": "code", - "execution_count": 11, - "id": "b101b459", + "execution_count": 5, + "id": "d7bb9607", "metadata": {}, "outputs": [], "source": [ @@ -150,8 +150,8 @@ }, { "cell_type": "code", - "execution_count": 12, - "id": "cbc4126e", + "execution_count": 10, + "id": "3ccf5f45", "metadata": {}, "outputs": [], "source": [ @@ -167,7 +167,8 @@ "\n", "parameter_dict = {'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", "\n", - "dv_pass = {'temp_feed': [0], 'temp_bath':[0], 'yfeed': [0]}\n", + "#dv_pass = {'temp_feed': [0], 'temp_bath':[0], 'yfeed': [0]}\n", + "dv_pass = {'temp_feed': None, 'temp_bath':None , 'yfeed': None}\n", "\n", "measurement = ['FCO2']\n", "t_measure = exp_time_\n" @@ -175,8 +176,8 @@ }, { "cell_type": "code", - "execution_count": 13, - "id": "efdfdb7b", + "execution_count": 8, + "id": "1fad4b22", "metadata": {}, "outputs": [ { @@ -209,26 +210,26 @@ }, { "cell_type": "code", - "execution_count": 14, - "id": "a3e5c000", + "execution_count": 11, + "id": "3b2be384", "metadata": {}, "outputs": [], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", "sensi_opt = 'sequential_finite'\n", - "#sensi_opt = 'sequential_sipopt'\n", + "##sensi_opt = 'sequential_sipopt'\n", "#sensi_opt = 'sequential_kaug'\n", "#sensi_opt = 'direct_kaug'\n", "\n", "# feed, bath, y\n", - "exp1 = generate_exp(313.15, 293.15, 0.15)" + "exp1 = generate_exp(313.15, 313.15, 0.15)" ] }, { "cell_type": "code", - "execution_count": 15, - "id": "91c11cd1", + "execution_count": 12, + "id": "5a6e376e", "metadata": {}, "outputs": [ { @@ -243,1027 +244,7 @@ "Model # of time grid is 69 , initial point # of time grid is 69\n", "Parameters: 214.12 , 15.424948470398375\n", "temp_feed is fixed at 313.15\n", - "temp_bath is fixed at 293.15\n", - "yfeed is fixed at 0.15\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.14e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (2554295)\n", - " 1 0.0000000e+00 2.14e+02 1.26e+01 -1.0 1.07e+02 - 3.96e-02 2.98e-03h 1\n", - " 2 0.0000000e+00 2.14e+02 7.04e+04 -1.0 1.07e+02 - 1.46e-01 2.98e-05h 1\n", - " 3r 0.0000000e+00 2.14e+02 9.99e+02 2.3 0.00e+00 - 0.00e+00 1.49e-07R 2\n", - " 4r 0.0000000e+00 3.72e+02 1.59e+04 2.3 1.87e+05 - 1.21e-04 7.91e-04f 1\n", - " 5r 0.0000000e+00 1.32e+04 2.02e+06 2.3 9.74e+02 0.0 1.09e-02 2.13e-02f 1\n", - " 6r 0.0000000e+00 1.16e+04 1.08e+06 2.3 2.00e+00 4.9 1.06e-01 1.18e-01f 1\n", - " 7r 0.0000000e+00 1.16e+04 1.07e+06 2.3 2.22e+00 5.4 3.55e-01 5.49e-03h 1\n", - " 8r 0.0000000e+00 1.05e+04 5.78e+05 2.3 2.25e+00 5.8 3.08e-01 5.75e-02h 1\n", - " 9r 0.0000000e+00 1.01e+04 1.98e+06 2.3 2.26e+00 6.2 5.49e-01 2.78e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 8.55e+03 4.03e+06 2.3 2.24e+00 6.6 3.80e-01 6.24e-02h 1\n", - " 11r 0.0000000e+00 7.54e+03 1.76e+07 2.3 2.08e+00 7.1 7.69e-01 5.24e-02h 1\n", - " 12r 0.0000000e+00 6.29e+03 3.29e+07 2.3 2.01e+00 7.5 4.52e-01 7.33e-02h 1\n", - " 13r 0.0000000e+00 5.99e+03 1.50e+08 2.3 1.93e+00 7.9 1.00e+00 3.84e-02h 1\n", - "Reallocating memory for MA57: lfact (2837904)\n", - " 14r 0.0000000e+00 5.30e+03 2.58e+08 2.3 1.86e+00 8.3 5.57e-01 8.17e-02h 1\n", - "Reallocating memory for MA57: lfact (3142900)\n", - " 15r 0.0000000e+00 5.07e+03 9.44e+08 2.3 1.72e+00 8.8 1.00e+00 3.74e-02h 1\n", - " 16r 0.0000000e+00 2.23e+03 1.23e+09 2.3 1.66e+00 8.3 4.92e-01 2.37e-01h 1\n", - " 17r 0.0000000e+00 2.21e+03 1.22e+09 2.3 1.28e+00 8.7 3.42e-01 8.87e-03h 1\n", - " 18r 0.0000000e+00 1.82e+03 1.95e+09 2.3 1.27e+00 9.1 1.00e+00 9.60e-02h 1\n", - "Reallocating memory for MA57: lfact (3444317)\n", - " 19r 0.0000000e+00 6.82e+02 4.46e+10 2.3 1.15e+00 9.6 3.93e-01 2.04e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 6.80e+02 4.45e+10 2.3 9.19e-01 10.0 3.18e-01 2.58e-03h 1\n", - " 21r 0.0000000e+00 6.79e+02 4.44e+10 2.3 9.17e-01 9.5 5.95e-02 2.24e-03h 1\n", - " 22r 0.0000000e+00 6.64e+02 4.35e+10 2.3 9.15e-01 10.0 6.28e-01 1.91e-02h 1\n", - "Reallocating memory for MA57: lfact (5767695)\n", - " 23r 0.0000000e+00 5.58e+02 6.03e+10 2.3 8.98e-01 10.4 3.55e-01 1.19e-01h 1\n", - "Reallocating memory for MA57: lfact (6188373)\n", - " 24r 0.0000000e+00 5.57e+02 6.03e+10 2.3 7.91e-01 10.8 2.79e-01 1.36e-03h 1\n", - "Reallocating memory for MA57: lfact (7515102)\n", - " 25r 0.0000000e+00 5.57e+02 6.59e+10 2.3 8.09e-01 11.2 4.23e-01 4.65e-04h 1\n", - " 26r 0.0000000e+00 5.23e+02 8.08e+10 2.3 8.16e-01 10.8 2.10e-01 6.33e-02h 1\n", - " 27r 0.0000000e+00 4.39e+02 8.58e+10 2.3 7.65e-01 10.3 6.59e-01 1.69e-01h 1\n", - " 28r 0.0000000e+00 4.26e+02 9.16e+10 2.3 7.99e-01 10.7 4.35e-01 3.17e-02h 1\n", - " 29r 0.0000000e+00 4.25e+02 9.15e+10 2.3 1.08e+00 10.2 5.30e-02 9.65e-04h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 4.24e+02 9.13e+10 2.3 8.32e-01 10.6 8.98e-01 2.04e-03h 1\n", - " 31r 0.0000000e+00 4.06e+02 3.63e+12 2.3 4.01e+00 10.2 9.09e-03 4.32e-02h 1\n", - " 32r 0.0000000e+00 3.99e+02 3.56e+12 2.3 8.41e-01 10.6 1.09e-01 1.77e-02h 1\n", - " 33r 0.0000000e+00 3.44e+02 3.06e+12 2.3 8.51e-01 10.1 5.82e-04 1.46e-01h 1\n", - " 34r 0.0000000e+00 3.43e+02 3.06e+12 2.3 1.94e+00 10.5 1.87e-02 1.72e-03h 1\n", - " 35r 0.0000000e+00 3.43e+02 3.06e+12 2.3 7.35e-01 11.0 6.71e-01 2.25e-05h 1\n", - " 36r 0.0000000e+00 3.38e+02 3.01e+12 2.3 9.83e-01 11.4 5.49e-01 1.49e-02h 1\n", - " 37r 0.0000000e+00 3.38e+02 3.01e+12 2.3 9.74e-01 10.9 2.46e-01 1.43e-03h 1\n", - " 38r 0.0000000e+00 3.11e+02 2.77e+12 2.3 9.72e-01 11.3 1.00e+00 8.26e-02h 1\n", - " 39r 0.0000000e+00 2.93e+02 2.61e+12 2.3 9.02e-01 11.8 3.47e-01 5.79e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 2.79e+02 2.49e+12 2.3 9.30e-01 12.2 3.53e-01 4.76e-02h 1\n", - " 41r 0.0000000e+00 2.72e+02 2.43e+12 2.3 9.29e-01 11.7 4.36e-01 2.50e-02h 1\n", - " 42r 0.0000000e+00 2.72e+02 2.43e+12 2.3 9.05e-01 12.1 7.55e-02 3.11e-04h 1\n", - " 43r 0.0000000e+00 2.61e+02 2.33e+12 2.3 9.06e-01 11.7 1.29e-04 4.05e-02h 1\n", - " 44r 0.0000000e+00 2.57e+02 2.29e+12 2.3 8.69e-01 12.1 6.13e-03 1.61e-02h 1\n", - " 45r 0.0000000e+00 2.54e+02 2.27e+12 2.3 8.54e-01 12.5 9.22e-03 1.12e-02h 1\n", - " 46r 0.0000000e+00 2.51e+02 2.23e+12 2.3 8.46e-01 12.0 2.30e-01 1.51e-02f 1\n", - " 47r 0.0000000e+00 2.46e+02 2.20e+12 2.3 8.32e-01 12.5 1.21e-02 1.67e-02h 1\n", - " 48r 0.0000000e+00 2.34e+02 3.09e+12 2.3 9.12e-01 12.0 1.57e-03 5.16e-02h 1\n", - " 49r 0.0000000e+00 2.34e+02 3.09e+12 2.3 1.30e+00 12.4 5.11e-02 5.44e-04h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 2.34e+02 3.09e+12 2.3 8.55e-01 12.8 0.00e+00 4.27e-07R 5\n", - "Reallocating memory for MA57: lfact (7932919)\n", - " 51r 0.0000000e+00 2.34e+02 7.49e+09 2.3 4.75e-10 13.3 9.90e-01 1.00e+00f 1\n", - " 52r 0.0000000e+00 2.34e+02 7.49e+07 2.3 1.43e-09 12.8 9.90e-01 1.00e+00f 1\n", - " 53r 0.0000000e+00 2.34e+02 7.48e+05 2.3 4.28e-09 12.3 9.90e-01 1.00e+00f 1\n", - " 54r 0.0000000e+00 2.34e+02 8.91e+03 2.3 1.28e-08 11.8 9.93e-01 1.00e+00f 1\n", - " 55r 0.0000000e+00 2.34e+02 1.78e+03 1.6 7.69e-09 11.4 1.00e+00 1.00e+00f 1\n", - " 56r 0.0000000e+00 2.34e+02 1.78e+03 1.6 2.31e-08 10.9 1.00e+00 1.00e+00f 1\n", - " 57r 0.0000000e+00 2.34e+02 1.78e+03 1.6 6.93e-08 10.4 1.00e+00 1.00e+00f 1\n", - " 58r 0.0000000e+00 2.34e+02 1.78e+03 1.6 2.08e-07 9.9 1.00e+00 1.00e+00f 1\n", - " 59r 0.0000000e+00 2.34e+02 1.78e+03 1.6 6.23e-07 9.5 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 2.34e+02 1.78e+03 1.6 1.87e-06 9.0 1.00e+00 1.00e+00f 1\n", - " 61r 0.0000000e+00 2.34e+02 1.78e+03 1.6 5.61e-06 8.5 1.00e+00 1.00e+00f 1\n", - " 62r 0.0000000e+00 2.34e+02 1.78e+03 1.6 1.68e-05 8.0 1.00e+00 1.00e+00f 1\n", - " 63r 0.0000000e+00 2.34e+02 1.78e+03 1.6 5.03e-05 7.5 1.00e+00 1.00e+00f 1\n", - " 64r 0.0000000e+00 2.34e+02 1.76e+03 1.6 1.50e-04 7.1 1.00e+00 1.00e+00f 1\n", - " 65r 0.0000000e+00 2.34e+02 1.73e+03 1.6 4.42e-04 6.6 1.00e+00 1.00e+00f 1\n", - " 66r 0.0000000e+00 2.34e+02 1.64e+03 1.6 1.26e-03 6.1 1.00e+00 1.00e+00f 1\n", - " 67r 0.0000000e+00 2.34e+02 1.54e+03 1.6 3.55e-03 5.6 1.00e+00 1.00e+00f 1\n", - " 68r 0.0000000e+00 2.34e+02 1.38e+03 1.6 9.51e-03 5.2 1.00e+00 1.00e+00f 1\n", - " 69r 0.0000000e+00 2.34e+02 1.86e+03 1.6 2.50e-02 4.7 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 2.34e+02 5.82e+03 1.6 6.64e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 71r 0.0000000e+00 2.34e+02 1.54e+03 1.6 2.88e-02 4.6 1.00e+00 1.00e+00f 1\n", - " 72r 0.0000000e+00 2.34e+02 1.20e+04 1.6 6.97e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 73r 0.0000000e+00 2.34e+02 4.03e+03 1.6 3.16e-02 4.6 1.00e+00 1.00e+00f 1\n", - " 74r 0.0000000e+00 2.34e+02 3.67e+03 1.6 8.18e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 75r 0.0000000e+00 2.33e+02 1.48e+04 1.6 2.46e-01 3.6 1.00e+00 9.58e-01f 1\n", - " 76r 0.0000000e+00 2.33e+02 1.39e+04 1.6 1.06e-01 4.1 1.00e+00 8.75e-01f 1\n", - " 77r 0.0000000e+00 2.33e+02 1.94e+04 1.6 2.65e-01 3.6 1.00e+00 1.00e+00f 1\n", - " 78r 0.0000000e+00 2.33e+02 4.36e+05 1.6 1.61e+00 3.1 5.48e-01 5.08e-01f 1\n", - " 79r 0.0000000e+00 2.33e+02 6.74e+04 1.6 5.32e-02 5.3 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 2.33e+02 1.01e+05 1.6 8.20e-02 4.9 1.00e+00 1.00e+00f 1\n", - " 81r 0.0000000e+00 2.33e+02 2.04e+04 1.6 4.19e-02 4.4 1.00e+00 1.00e+00f 1\n", - " 82r 0.0000000e+00 2.32e+02 3.48e+03 1.6 1.26e-01 3.9 1.00e+00 1.00e+00f 1\n", - " 83r 0.0000000e+00 2.32e+02 2.20e+05 1.6 4.89e-01 3.4 1.00e+00 8.92e-01f 1\n", - " 84r 0.0000000e+00 2.32e+02 1.12e+04 1.6 7.32e-02 4.8 1.00e+00 1.00e+00f 1\n", - " 85r 0.0000000e+00 2.32e+02 3.97e+04 1.6 1.31e-01 4.3 1.00e+00 1.00e+00f 1\n", - " 86r 0.0000000e+00 2.32e+02 1.51e+04 1.6 1.59e-01 3.8 1.00e+00 1.00e+00f 1\n", - " 87r 0.0000000e+00 2.31e+02 4.19e+04 1.6 4.77e-01 3.3 9.13e-01 7.41e-01f 1\n", - " 88r 0.0000000e+00 2.31e+02 2.50e+04 1.6 1.50e+00 2.8 1.00e+00 3.57e-01f 1\n", - " 89r 0.0000000e+00 2.31e+02 8.22e+03 1.6 5.37e-01 3.3 1.00e+00 7.19e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 2.30e+02 1.00e+03 1.6 2.01e-01 3.7 1.00e+00 1.00e+00f 1\n", - " 91r 0.0000000e+00 2.30e+02 6.56e+03 0.9 6.04e-01 3.2 1.00e+00 4.58e-01f 1\n", - " 92r 0.0000000e+00 2.30e+02 2.58e+03 0.9 1.81e+00 2.7 1.00e+00 2.55e-01f 1\n", - " 93r 0.0000000e+00 2.29e+02 5.87e+03 0.9 6.79e-01 3.2 1.00e+00 3.72e-01f 1\n", - " 94r 0.0000000e+00 2.29e+02 5.56e+03 0.9 2.55e-01 3.6 1.00e+00 6.03e-01f 1\n", - " 95r 0.0000000e+00 2.29e+02 3.30e+03 0.9 9.55e-02 4.0 1.00e+00 9.62e-01f 1\n", - " 96r 0.0000000e+00 2.29e+02 1.00e+03 0.9 2.87e-01 3.5 1.00e+00 4.48e-01f 1\n", - " 97r 0.0000000e+00 2.29e+02 4.67e+03 0.9 9.66e-01 3.1 1.00e+00 2.37e-01f 1\n", - " 98r 0.0000000e+00 2.28e+02 6.52e+03 0.9 2.80e+00 2.6 1.00e+00 1.61e-01f 1\n", - " 99r 0.0000000e+00 2.28e+02 7.80e+03 0.9 7.74e+00 2.1 8.81e-01 1.16e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 2.27e+02 5.54e+03 0.9 2.90e+00 2.5 1.00e+00 2.19e-01f 1\n", - " 101r 0.0000000e+00 2.26e+02 4.77e+03 0.9 8.71e+00 2.1 7.97e-01 1.44e-01f 1\n", - " 102r 0.0000000e+00 2.25e+02 3.71e+03 0.9 3.26e+00 2.5 1.00e+00 2.20e-01f 1\n", - " 103r 0.0000000e+00 2.23e+02 3.19e+03 0.9 9.79e+00 2.0 2.67e-01 1.42e-01f 1\n", - " 104r 0.0000000e+00 2.23e+02 5.54e+03 0.9 3.67e+00 2.4 1.00e+00 1.29e-01f 1\n", - " 105r 0.0000000e+00 2.23e+02 9.80e+03 0.9 1.38e+00 2.9 1.00e+00 3.63e-01f 1\n", - " 106r 0.0000000e+00 2.22e+02 2.83e+04 0.9 4.13e+00 2.4 1.00e+00 1.87e-01f 1\n", - " 107r 0.0000000e+00 3.30e+03 3.10e+06 0.9 4.16e+01 1.9 1.72e-02 5.99e-02f 1\n", - " 108r 0.0000000e+00 2.99e+03 2.82e+06 0.9 1.18e+00 4.1 8.98e-02 9.67e-02f 1\n", - " 109r 0.0000000e+00 2.27e+03 2.47e+06 0.9 6.76e-01 4.6 2.69e-01 2.68e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 1.68e+03 3.78e+06 0.9 3.80e-01 5.0 4.03e-01 2.89e-01f 1\n", - " 111r 0.0000000e+00 1.04e+03 1.06e+07 0.9 5.96e-01 5.4 1.16e-01 4.41e-01f 1\n", - " 112r 0.0000000e+00 1.00e+03 1.01e+07 0.9 9.54e-01 4.9 2.82e-03 4.13e-02f 1\n", - " 113r 0.0000000e+00 1.00e+03 1.01e+07 0.9 6.90e-01 5.4 8.84e-01 7.81e-04h 1\n", - " 114r 0.0000000e+00 6.77e+02 5.30e+06 0.9 1.34e+00 4.9 1.58e-02 3.73e-01f 1\n", - " 115r 0.0000000e+00 2.21e+02 6.69e+06 0.9 5.53e-01 5.3 8.21e-01 1.00e+00f 1\n", - " 116r 0.0000000e+00 2.21e+02 2.08e+05 0.9 1.77e-01 4.8 9.00e-01 1.00e+00f 1\n", - " 117r 0.0000000e+00 2.21e+02 3.23e+05 0.9 1.18e-01 4.4 1.00e+00 1.00e+00f 1\n", - " 118r 0.0000000e+00 2.21e+02 1.14e+05 0.9 1.43e-01 3.9 1.00e+00 8.88e-01f 1\n", - " 119r 0.0000000e+00 2.21e+02 8.72e+04 0.9 3.93e-01 3.4 1.00e+00 2.86e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 0.0000000e+00 2.20e+02 7.23e+04 0.9 1.18e+00 2.9 1.00e+00 2.18e-01f 1\n", - " 121r 0.0000000e+00 2.20e+02 6.54e+04 0.9 3.53e+00 2.5 1.00e+00 1.48e-01f 1\n", - " 122r 0.0000000e+00 2.19e+02 6.09e+04 0.9 1.06e+01 2.0 3.04e-01 1.04e-01f 1\n", - " 123r 0.0000000e+00 2.17e+02 7.16e+04 0.9 3.98e+00 2.4 1.00e+00 3.60e-01f 1\n", - " 124r 0.0000000e+00 2.17e+02 7.13e+04 0.9 3.21e+00 3.7 5.18e-02 6.92e-02f 1\n", - " 125r 0.0000000e+00 2.17e+02 9.67e+04 0.9 1.68e+00 4.2 3.46e-02 1.00e+00f 1\n", - " 126r 0.0000000e+00 2.17e+02 2.32e+04 0.9 2.10e-01 3.7 8.73e-01 1.00e+00f 1\n", - " 127r 0.0000000e+00 2.16e+02 8.46e+04 0.9 6.87e-01 3.2 5.20e-01 1.00e+00f 1\n", - " 128r 0.0000000e+00 2.16e+02 5.89e+03 0.9 3.34e-02 4.5 1.00e+00 1.00e+00f 1\n", - " 129r 0.0000000e+00 2.16e+02 2.64e+04 0.9 8.85e-02 4.1 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r 0.0000000e+00 2.16e+02 4.28e+05 0.9 3.72e-01 3.6 9.20e-01 1.00e+00f 1\n", - " 131r 0.0000000e+00 2.16e+02 1.14e+05 0.9 1.16e-01 4.0 1.00e+00 9.18e-01f 1\n", - " 132r 0.0000000e+00 2.16e+02 2.65e+04 0.9 2.99e-01 3.5 1.00e+00 7.21e-01f 1\n", - " 133r 0.0000000e+00 2.15e+02 6.01e+03 0.9 8.96e-01 3.0 1.00e+00 4.98e-01f 1\n", - " 134r 0.0000000e+00 2.13e+02 1.00e+03 0.9 2.69e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 135r 0.0000000e+00 4.23e+02 5.22e+05 0.9 8.06e+00 2.1 5.19e-01 1.00e+00f 1\n", - " 136r 0.0000000e+00 3.34e+02 4.08e+05 0.9 4.08e-01 4.3 2.40e-01 2.26e-01f 1\n", - " 137r 0.0000000e+00 2.51e+02 3.03e+05 0.9 2.58e-01 4.8 1.24e-01 2.76e-01f 1\n", - " 138r 0.0000000e+00 2.04e+02 1.49e+05 0.9 3.44e-01 4.3 6.21e-01 3.94e-01f 1\n", - " 139r 0.0000000e+00 2.05e+02 2.06e+05 0.9 1.35e-01 4.7 8.86e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r 0.0000000e+00 2.05e+02 2.61e+05 0.9 2.95e+00 4.2 1.88e-01 1.01e-01f 1\n", - " 141r 0.0000000e+00 2.05e+02 3.84e+05 0.9 1.70e-01 4.6 8.03e-01 8.94e-01f 1\n", - " 142r 0.0000000e+00 2.05e+02 3.89e+05 0.9 1.01e+00 5.1 4.91e-02 2.39e-02f 1\n", - " 143r 0.0000000e+00 2.05e+02 2.34e+06 0.9 1.16e+00 4.6 5.18e-02 1.30e-01f 1\n", - " 144r 0.0000000e+00 2.05e+02 1.10e+06 0.9 1.02e+00 5.0 4.19e-01 4.59e-01f 1\n", - " 145r 0.0000000e+00 2.05e+02 1.01e+06 0.9 1.01e+00 4.5 2.80e-02 6.66e-02f 1\n", - " 146r 0.0000000e+00 2.05e+02 9.86e+05 0.9 1.06e+00 5.0 4.72e-02 3.40e-02f 1\n", - " 147r 0.0000000e+00 2.05e+02 9.67e+05 0.9 1.05e+00 5.4 6.49e-02 2.75e-02h 1\n", - " 148r 0.0000000e+00 2.05e+02 8.58e+05 0.9 1.10e+00 4.9 6.40e-02 1.14e-01f 1\n", - " 149r 0.0000000e+00 2.05e+02 8.34e+05 0.9 1.03e+00 5.3 1.09e-01 6.11e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150r 0.0000000e+00 2.05e+02 1.33e+06 0.9 1.12e+00 5.8 9.25e-02 5.06e-02h 1\n", - " 151r 0.0000000e+00 2.05e+02 1.69e+06 0.9 1.11e+00 6.2 2.16e-03 2.67e-02h 1\n", - " 152r 0.0000000e+00 2.05e+02 1.71e+06 0.9 1.15e+00 6.6 8.27e-03 5.88e-03h 1\n", - " 153r 0.0000000e+00 2.05e+02 1.90e+06 0.9 1.14e+00 7.1 1.09e-02 9.36e-03h 1\n", - " 154r 0.0000000e+00 2.05e+02 5.07e+06 0.9 1.33e+00 6.6 6.09e-03 2.48e-02h 1\n", - " 155r 0.0000000e+00 2.05e+02 5.07e+06 0.9 1.12e+00 7.0 1.52e-02 5.36e-03h 1\n", - " 156r 0.0000000e+00 2.05e+02 5.38e+06 0.9 1.12e+00 7.4 3.05e-02 1.08e-02h 1\n", - " 157r 0.0000000e+00 2.05e+02 1.40e+08 0.9 1.45e+00 6.9 5.03e-03 6.62e-02h 1\n", - " 158r 0.0000000e+00 2.05e+02 1.38e+08 0.9 1.05e+00 7.4 2.45e-02 9.27e-03h 1\n", - " 159r 0.0000000e+00 2.05e+02 1.37e+08 0.9 1.04e+00 7.8 5.51e-02 1.15e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r 0.0000000e+00 2.05e+02 1.35e+08 0.9 1.05e+00 8.2 1.54e-01 1.25e-02h 1\n", - " 161r 0.0000000e+00 2.05e+02 2.63e+08 0.9 3.44e+00 7.8 6.34e-03 2.08e-02h 1\n", - " 162r 0.0000000e+00 2.05e+02 2.59e+08 0.9 1.19e+00 7.3 9.15e-02 1.52e-02h 1\n", - " 163r 0.0000000e+00 2.05e+02 2.52e+08 0.9 1.20e+00 6.8 7.63e-02 2.82e-02h 1\n", - " 164r 0.0000000e+00 2.05e+02 2.41e+08 0.9 1.21e+00 6.3 3.66e-02 4.23e-02h 1\n", - " 165r 0.0000000e+00 2.05e+02 2.37e+08 0.9 1.08e+00 7.6 1.33e-02 1.64e-02h 1\n", - " 166r 0.0000000e+00 2.05e+02 2.34e+08 0.9 1.06e+00 8.1 6.14e-03 1.15e-02h 1\n", - " 167r 0.0000000e+00 2.05e+02 2.80e+09 0.9 2.97e+01 7.6 5.43e-05 5.71e-03f 1\n", - " 168r 0.0000000e+00 2.05e+02 2.67e+09 0.9 1.08e+00 7.1 2.65e-02 4.69e-02h 1\n", - " 169r 0.0000000e+00 2.05e+02 2.66e+09 0.9 9.98e-01 8.4 4.40e-02 2.61e-03h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r 0.0000000e+00 2.05e+02 2.41e+09 0.9 1.00e+00 8.0 4.81e-04 9.76e-02h 1\n", - " 171r 0.0000000e+00 2.05e+02 2.41e+09 0.9 1.21e+00 8.4 1.35e-03 2.10e-03h 1\n", - " 172r 0.0000000e+00 2.05e+02 2.39e+09 0.9 1.20e+00 8.8 2.99e-03 5.48e-03h 1\n", - " 173r 0.0000000e+00 2.05e+02 2.34e+09 0.9 1.20e+00 8.3 3.22e-03 2.09e-02h 1\n", - " 174r 0.0000000e+00 2.05e+02 2.33e+09 0.9 1.17e+00 8.8 1.69e-02 7.52e-03h 1\n", - " 175r 0.0000000e+00 2.05e+02 4.38e+09 0.9 1.16e+00 8.3 7.87e-04 1.94e-01h 1\n", - " 176r 0.0000000e+00 2.05e+02 4.32e+09 0.9 1.85e+00 8.7 1.19e-02 4.43e-03h 1\n", - " 177r 0.0000000e+00 2.05e+02 4.27e+09 0.9 9.69e-01 9.1 4.06e-02 8.24e-03h 1\n", - " 178r 0.0000000e+00 2.05e+02 2.81e+09 0.9 9.61e-01 8.7 2.31e-04 4.66e-02h 1\n", - " 179r 0.0000000e+00 2.05e+02 2.80e+09 0.9 1.26e+00 9.1 1.88e-03 5.66e-04h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r 0.0000000e+00 2.05e+02 2.78e+09 0.9 9.15e-01 9.5 4.25e-05 8.12e-03h 1\n", - " 181r 0.0000000e+00 2.05e+02 6.18e+09 0.9 2.80e+00 9.0 1.13e-03 2.49e-02h 1\n", - " 182r 0.0000000e+00 2.05e+02 6.18e+09 0.9 1.00e+00 9.5 1.87e-03 2.73e-04h 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 183r 0.0000000e+00 2.05e+02 6.18e+09 0.9 9.85e-01 9.9 5.54e-04 2.34e-04h 1\n", - " 184r 0.0000000e+00 2.05e+02 6.16e+09 0.9 1.00e+00 9.4 3.40e-05 3.63e-03f 1\n", - " 185r 0.0000000e+00 2.05e+02 6.15e+09 0.9 9.93e-01 9.8 1.11e-03 9.15e-04h 1\n", - " 186r 0.0000000e+00 2.05e+02 5.87e+09 0.9 1.11e+00 9.4 1.41e-04 3.54e-02h 1\n", - " 187r 0.0000000e+00 2.05e+02 5.86e+09 0.9 1.01e+00 9.8 1.14e-02 1.54e-03h 1\n", - " 188r 0.0000000e+00 2.05e+02 9.04e+09 0.9 1.03e+00 9.3 2.27e-04 8.41e-02h 1\n", - " 189r 0.0000000e+00 2.05e+02 5.10e+09 0.9 5.01e+00 9.7 1.18e-04 5.30e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190r 0.0000000e+00 2.05e+02 5.08e+09 0.9 9.43e-01 10.2 1.40e-03 4.71e-03h 1\n", - " 191r 0.0000000e+00 2.05e+02 5.07e+09 0.9 9.39e-01 10.6 1.18e-03 1.51e-03h 1\n", - " 192r 0.0000000e+00 2.05e+02 1.20e+10 0.9 9.39e-01 10.1 7.32e-04 2.73e-02h 1\n", - " 193r 0.0000000e+00 2.05e+02 1.20e+10 0.9 9.13e-01 10.5 3.52e-03 1.59e-03h 1\n", - " 194r 0.0000000e+00 2.05e+02 1.20e+10 0.9 9.11e-01 11.0 5.33e-04 2.47e-03h 1\n", - " 195r 0.0000000e+00 2.05e+02 1.88e+10 0.9 9.10e-01 10.5 2.73e-05 3.10e-02f 1\n", - " 196r 0.0000000e+00 2.05e+02 1.89e+10 0.9 8.79e-01 10.9 3.25e-04 1.18e-03h 1\n", - " 197r 0.0000000e+00 2.05e+02 2.00e+10 0.9 8.87e-01 10.4 6.59e-04 7.40e-03f 1\n", - " 198r 0.0000000e+00 2.05e+02 2.02e+10 0.9 8.71e-01 10.9 4.44e-03 1.93e-03h 1\n", - " 199r 0.0000000e+00 2.05e+02 2.22e+10 0.9 8.68e-01 11.3 4.94e-04 3.30e-03h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200r 0.0000000e+00 2.05e+02 7.39e+10 0.9 9.25e-01 10.8 1.14e-04 3.72e-02f 1\n", - " 201r 0.0000000e+00 2.05e+02 7.40e+10 0.9 1.13e+00 11.2 6.21e-04 1.61e-03h 1\n", - " 202r 0.0000000e+00 2.05e+02 7.42e+10 0.9 1.12e+00 11.7 2.59e-03 1.18e-03h 1\n", - " 203r 0.0000000e+00 2.05e+02 2.01e+11 0.9 1.15e+00 11.2 2.38e-03 3.96e-02h 1\n", - " 204r 0.0000000e+00 2.05e+02 2.00e+11 0.9 1.14e+00 11.6 8.44e-03 3.57e-03h 1\n", - " 205r 0.0000000e+00 2.05e+02 2.01e+11 0.9 1.14e+00 12.0 4.46e-03 5.58e-03h 1\n", - " 206r 0.0000000e+00 2.05e+02 9.69e+11 0.9 1.14e+00 11.6 1.02e-02 6.55e-02h 1\n", - " 207r 0.0000000e+00 2.05e+02 9.52e+11 0.9 1.07e+00 12.0 1.93e-02 1.66e-02h 1\n", - " 208r 0.0000000e+00 2.05e+02 9.42e+11 0.9 1.06e+00 12.4 1.01e-02 2.04e-02h 1\n", - " 209r 0.0000000e+00 2.05e+02 9.60e+11 0.9 1.03e+00 12.8 8.48e-02 1.12e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 210r 0.0000000e+00 2.05e+02 1.28e+15 0.9 1.02e+00 12.4 6.03e-02 4.87e-01h 2\n", - " 211r 0.0000000e+00 2.05e+02 1.28e+15 0.9 5.26e-01 14.6 8.53e-05 3.69e-03h 1\n", - " 212r 0.0000000e+00 2.05e+02 1.26e+15 0.9 5.24e-01 14.1 1.99e-03 1.56e-02h 1\n", - " 213r 0.0000000e+00 2.05e+02 1.25e+15 0.9 5.16e-01 14.5 1.27e-04 7.38e-03h 1\n", - " 214r 0.0000000e+00 2.05e+02 1.16e+15 0.9 5.12e-01 14.1 3.04e-06 7.21e-02f 1\n", - " 215r 0.0000000e+00 2.05e+02 1.15e+15 0.9 4.75e-01 14.5 6.16e-03 6.93e-03h 1\n", - " 216r 0.0000000e+00 2.05e+02 1.14e+15 0.9 4.72e-01 14.9 7.79e-04 6.64e-03h 1\n", - " 217r 0.0000000e+00 2.05e+02 1.91e+15 0.9 4.69e-01 14.4 2.67e-05 1.23e-01f 1\n", - " 218r 0.0000000e+00 2.05e+02 1.89e+15 0.9 4.11e-01 14.9 6.66e-04 7.72e-03h 1\n", - "Reallocating memory for MA57: lfact (8452634)\n", - " 219r 0.0000000e+00 2.05e+02 1.89e+15 0.9 4.08e-01 15.3 6.94e-03 4.12e-03h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 220r 0.0000000e+00 2.05e+02 1.47e+15 0.9 4.06e-01 14.8 7.40e-03 1.93e-01f 1\n", - " 221r 0.0000000e+00 2.05e+02 1.45e+15 0.9 6.44e-01 15.2 1.53e-02 1.91e-02h 1\n", - " 222r 0.0000000e+00 2.05e+02 1.42e+15 0.9 3.16e-01 15.7 2.58e-03 1.84e-02h 1\n", - " 223r 0.0000000e+00 2.05e+02 1.41e+15 0.9 3.10e-01 16.1 4.97e-05 7.48e-03h 1\n", - " 224r 0.0000000e+00 2.05e+02 3.94e+15 0.9 3.01e-01 15.6 5.53e-03 1.29e-01f 1\n", - " 225r 0.0000000e+00 2.05e+02 4.30e+15 0.9 3.92e-01 16.0 3.30e-02 1.03e-02h 1\n", - " 226r 0.0000000e+00 2.05e+02 4.33e+15 0.9 1.51e-01 16.5 1.22e-01 4.80e-03h 1\n", - " 227r 0.0000000e+00 2.05e+02 6.46e+15 0.9 1.38e+00 16.0 2.83e-03 1.79e-04H 1\n", - " 228r 0.0000000e+00 2.05e+02 8.17e+15 0.9 2.57e-01 16.4 2.27e-01 1.94e-01h 1\n", - "In iteration 228, 1 Slack too small, adjusting variable bound\n", - " 229r 0.0000000e+00 2.05e+02 5.73e+16 0.9 2.05e-01 16.8 1.08e-01 2.73e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 230r 0.0000000e+00 2.05e+02 2.96e+17 0.9 1.11e-01 17.3 1.02e-01 1.40e-01h 1\n", - " 231r 0.0000000e+00 2.05e+02 1.76e+17 0.9 6.50e-02 17.7 4.57e-01 1.65e-01h 1\n", - " 232r 0.0000000e+00 2.05e+02 3.52e+18 0.9 3.69e-02 17.2 1.07e-02 1.00e+00f 1\n", - " 233r 0.0000000e+00 2.05e+02 6.28e+17 0.9 2.94e-02 16.7 4.07e-04 1.00e+00f 1\n", - " 234r 0.0000000e+00 2.05e+02 2.23e+16 0.9 5.31e-03 16.3 1.10e-04 1.00e+00f 1\n", - " 235r 0.0000000e+00 2.05e+02 2.66e+15 0.9 1.53e-05 15.8 3.49e-01 1.00e+00f 1\n", - " 236r 0.0000000e+00 2.05e+02 2.66e+13 0.9 4.57e-09 15.3 9.90e-01 1.00e+00f 1\n", - " 237r 0.0000000e+00 2.05e+02 2.66e+11 0.9 9.51e-10 14.8 9.90e-01 1.00e+00f 1\n", - " 238r 0.0000000e+00 2.05e+02 2.66e+09 0.9 1.40e-08 14.4 9.90e-01 1.00e+00f 1\n", - " 239r 0.0000000e+00 2.05e+02 6.24e+07 0.9 8.24e-07 13.9 9.90e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 240r 0.0000000e+00 2.05e+02 3.57e+07 0.9 1.40e-06 13.4 1.00e+00 1.00e+00f 1\n", - " 241r 0.0000000e+00 2.05e+02 7.32e+06 0.9 8.62e-07 12.9 1.00e+00 1.00e+00f 1\n", - " 242r 0.0000000e+00 2.05e+02 4.20e+06 0.9 1.49e-06 12.5 1.00e+00 1.00e+00f 1\n", - " 243r 0.0000000e+00 2.05e+02 1.91e+06 0.9 2.02e-06 12.0 1.00e+00 1.00e+00f 1\n", - " 244r 0.0000000e+00 2.05e+02 1.09e+06 0.9 3.48e-06 11.5 1.00e+00 1.00e+00f 1\n", - " 245r 0.0000000e+00 2.05e+02 5.77e+05 0.9 5.51e-06 11.0 1.00e+00 1.00e+00f 1\n", - " 246r 0.0000000e+00 2.05e+02 3.31e+05 0.9 9.47e-06 10.5 1.00e+00 1.00e+00f 1\n", - " 247r 0.0000000e+00 2.05e+02 1.84e+05 0.9 1.58e-05 10.1 1.00e+00 1.00e+00f 1\n", - " 248r 0.0000000e+00 2.05e+02 1.06e+05 0.9 2.72e-05 9.6 1.00e+00 1.00e+00f 1\n", - " 249r 0.0000000e+00 2.05e+02 6.00e+04 0.9 4.64e-05 9.1 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 250r 0.0000000e+00 2.05e+02 3.43e+04 0.9 7.96e-05 8.6 1.00e+00 1.00e+00f 1\n", - " 251r 0.0000000e+00 2.05e+02 1.95e+04 0.9 1.36e-04 8.2 1.00e+00 1.00e+00f 1\n", - " 252r 0.0000000e+00 2.05e+02 1.10e+04 0.9 2.30e-04 7.7 1.00e+00 1.00e+00f 1\n", - " 253r 0.0000000e+00 2.05e+02 6.15e+03 0.9 3.85e-04 7.2 1.00e+00 1.00e+00f 1\n", - " 254r 0.0000000e+00 2.05e+02 3.35e+03 0.9 6.29e-04 6.7 1.00e+00 1.00e+00f 1\n", - " 255r 0.0000000e+00 2.05e+02 1.74e+03 0.9 9.82e-04 6.2 1.00e+00 1.00e+00f 1\n", - " 256r 0.0000000e+00 2.05e+02 1.32e+03 0.9 2.23e-03 5.8 1.00e+00 1.00e+00f 1\n", - " 257r 0.0000000e+00 2.05e+02 1.24e+03 0.9 6.29e-03 5.3 1.00e+00 1.00e+00f 1\n", - " 258r 0.0000000e+00 2.05e+02 1.26e+03 0.9 1.91e-02 4.8 1.00e+00 1.00e+00f 1\n", - " 259r 0.0000000e+00 2.04e+02 2.71e+05 0.9 7.72e-02 4.3 7.87e-01 9.34e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 260r 0.0000000e+00 2.04e+02 1.53e+05 0.9 1.63e-01 3.9 1.00e+00 4.58e-01f 1\n", - " 261r 0.0000000e+00 2.04e+02 9.78e+04 0.9 4.21e-01 3.4 1.00e+00 3.27e-01f 1\n", - " 262r 0.0000000e+00 2.04e+02 3.87e+04 0.9 1.60e-01 3.8 1.00e+00 5.90e-01f 1\n", - " 263r 0.0000000e+00 2.04e+02 3.28e+04 0.9 7.52e-01 3.3 3.79e-01 1.37e-01f 1\n", - " 264r 0.0000000e+00 2.04e+02 1.10e+04 0.9 1.78e-01 3.8 1.00e+00 5.91e-01f 1\n", - " 265r 0.0000000e+00 2.04e+02 7.11e+03 0.9 5.20e-01 3.3 1.00e+00 2.57e-01f 1\n", - " 266r 0.0000000e+00 2.04e+02 1.75e+03 0.9 1.95e-01 3.7 1.00e+00 5.86e-01f 1\n", - " 267r 0.0000000e+00 2.04e+02 1.28e+03 0.9 5.85e-01 3.2 1.00e+00 4.20e-01f 1\n", - " 268r 0.0000000e+00 2.03e+02 1.13e+03 0.9 2.19e-01 3.7 1.00e+00 3.63e-01f 1\n", - " 269r 0.0000000e+00 2.03e+02 1.00e+03 0.9 6.58e-01 3.2 1.00e+00 3.35e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 270r 0.0000000e+00 2.02e+02 1.00e+03 0.9 1.97e+00 2.7 1.00e+00 3.71e-01f 1\n", - " 271r 0.0000000e+00 2.02e+02 1.28e+03 0.9 7.40e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 272r 0.0000000e+00 1.99e+02 1.00e+03 0.9 2.22e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 273r 0.0000000e+00 1.92e+02 1.78e+05 0.9 6.66e+00 2.2 6.62e-01 1.00e+00f 1\n", - " 274r 0.0000000e+00 1.92e+02 1.31e+05 0.9 1.90e-01 4.4 2.54e-01 2.33e-01f 1\n", - " 275r 0.0000000e+00 1.93e+02 3.76e+04 0.9 2.66e-01 3.9 1.00e+00 1.00e+00f 1\n", - " 276r 0.0000000e+00 1.93e+02 7.44e+04 0.9 1.44e-01 4.4 6.96e-01 7.47e-01f 1\n", - " 277r 0.0000000e+00 1.93e+02 6.98e+05 0.9 2.14e-01 4.8 1.00e+00 1.00e+00f 1\n", - " 278r 0.0000000e+00 1.93e+02 4.93e+05 0.9 1.28e-01 4.3 6.77e-01 1.94e-01f 1\n", - " 279r 0.0000000e+00 1.93e+02 1.70e+05 0.9 2.07e-01 3.8 1.00e+00 4.25e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 280r 0.0000000e+00 1.92e+02 1.21e+05 0.9 6.14e-01 3.4 1.00e+00 5.63e-01f 1\n", - " 281r 0.0000000e+00 1.92e+02 2.99e+05 0.9 1.35e+00 3.8 1.25e-01 1.59e-01f 1\n", - " 282r 0.0000000e+00 1.92e+02 2.58e+05 0.9 7.83e-01 4.2 2.25e-01 1.39e-01f 1\n", - " 283r 0.0000000e+00 1.92e+02 4.21e+05 0.9 4.78e-02 4.6 1.00e+00 1.00e+00f 1\n", - " 284r 0.0000000e+00 1.92e+02 4.73e+04 0.9 1.35e-02 5.1 1.00e+00 1.00e+00f 1\n", - " 285r 0.0000000e+00 1.92e+02 3.47e+03 0.9 2.64e-02 4.6 1.00e+00 1.00e+00f 1\n", - " 286r 0.0000000e+00 1.92e+02 1.00e+03 0.9 7.91e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 287r 0.0000000e+00 1.92e+02 1.00e+03 0.9 2.37e-01 3.6 1.00e+00 1.00e+00f 1\n", - " 288r 0.0000000e+00 1.91e+02 1.00e+03 0.9 7.12e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 289r 0.0000000e+00 1.91e+02 1.00e+03 0.9 2.67e-01 3.6 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 290r 0.0000000e+00 1.90e+02 1.00e+03 0.9 8.01e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 291r 0.0000000e+00 1.89e+02 1.00e+03 0.9 2.40e+00 2.6 1.00e+00 5.24e-01f 1\n", - " 292r 0.0000000e+00 1.88e+02 1.00e+03 0.9 7.21e+00 2.1 7.91e-01 6.12e-02f 1\n", - " 293r 0.0000000e+00 1.88e+02 1.00e+03 0.9 2.70e+00 2.6 1.00e+00 2.90e-01f 1\n", - " 294r 0.0000000e+00 1.87e+02 1.71e+03 0.9 8.11e+00 2.1 2.39e-01 1.14e-01f 1\n", - " 295r 0.0000000e+00 1.86e+02 2.29e+03 0.9 3.04e+00 2.5 1.00e+00 1.37e-01f 1\n", - " 296r 0.0000000e+00 1.86e+02 2.32e+03 0.9 1.14e+00 2.9 1.00e+00 3.77e-01f 1\n", - " 297r 0.0000000e+00 1.85e+02 1.69e+03 0.9 3.42e+00 2.5 1.00e+00 1.94e-01f 1\n", - " 298r 0.0000000e+00 1.85e+02 1.32e+03 0.9 1.28e+00 2.9 1.00e+00 3.02e-01f 1\n", - " 299r 0.0000000e+00 1.84e+02 1.00e+03 0.9 3.85e+00 2.4 1.00e+00 1.77e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 300r 0.0000000e+00 1.84e+02 1.00e+03 0.9 1.44e+00 2.8 1.00e+00 2.86e-01f 1\n", - " 301r 0.0000000e+00 1.83e+02 1.00e+03 0.9 4.33e+00 2.4 1.00e+00 1.71e-01f 1\n", - " 302r 0.0000000e+00 1.83e+02 1.00e+03 0.9 1.62e+00 2.8 1.00e+00 2.79e-01f 1\n", - " 303r 0.0000000e+00 1.82e+02 1.00e+03 0.9 6.09e-01 3.2 1.00e+00 4.33e-01f 1\n", - " 304r 0.0000000e+00 1.82e+02 1.00e+03 0.9 1.83e+00 2.7 1.00e+00 2.93e-01f 1\n", - " 305r 0.0000000e+00 1.82e+02 1.00e+03 0.9 6.85e-01 3.2 1.00e+00 2.58e-01f 1\n", - " 306r 0.0000000e+00 1.81e+02 1.00e+03 0.9 2.06e+00 2.7 9.44e-01 2.14e-01f 1\n", - " 307r 0.0000000e+00 1.80e+02 1.00e+03 0.9 6.17e+00 2.2 1.00e+00 1.21e-01f 1\n", - " 308r 0.0000000e+00 1.80e+02 1.00e+03 0.9 2.31e+00 2.6 1.00e+00 2.49e-01f 1\n", - " 309r 0.0000000e+00 1.79e+02 1.00e+03 0.9 6.94e+00 2.2 4.25e-01 1.52e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 310r 0.0000000e+00 1.78e+02 1.00e+03 0.9 2.60e+00 2.6 1.00e+00 1.74e-01f 1\n", - " 311r 0.0000000e+00 1.78e+02 1.00e+03 0.9 9.75e-01 3.0 1.00e+00 4.16e-01f 1\n", - " 312r 0.0000000e+00 1.78e+02 1.00e+03 0.9 3.66e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 313r 0.0000000e+00 1.77e+02 1.00e+03 0.9 1.10e+00 3.0 1.00e+00 1.96e-01f 1\n", - " 314r 0.0000000e+00 1.77e+02 1.00e+03 0.9 4.12e-01 3.4 1.00e+00 4.62e-01f 1\n", - " 315r 0.0000000e+00 1.76e+02 1.00e+03 0.9 1.23e+00 2.9 1.00e+00 9.24e-01f 1\n", - " 316r 0.0000000e+00 1.76e+02 1.00e+03 0.9 4.63e-01 3.3 1.00e+00 1.76e-01f 1\n", - " 317r 0.0000000e+00 1.76e+02 1.00e+03 0.9 1.39e+00 2.9 1.00e+00 1.74e-01f 1\n", - " 318r 0.0000000e+00 1.75e+02 1.00e+03 0.9 5.21e-01 3.3 1.00e+00 4.12e-01f 1\n", - " 319r 0.0000000e+00 1.75e+02 1.00e+03 0.9 1.56e+00 2.8 1.00e+00 3.37e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 320r 0.0000000e+00 1.74e+02 1.00e+03 0.9 4.69e+00 2.3 1.00e+00 1.86e-01f 1\n", - " 321r 0.0000000e+00 1.74e+02 1.00e+03 0.9 1.76e+00 2.8 1.00e+00 1.97e-01f 1\n", - " 322r 0.0000000e+00 1.73e+02 1.00e+03 0.9 5.27e+00 2.3 1.00e+00 2.18e-01f 1\n", - " 323r 0.0000000e+00 1.72e+02 1.00e+03 0.9 2.47e-01 3.6 1.00e+00 5.06e-01f 1\n", - " 324r 0.0000000e+00 1.72e+02 1.00e+03 0.9 7.42e-01 3.1 1.00e+00 3.70e-01f 1\n", - " 325r 0.0000000e+00 1.72e+02 1.00e+03 0.9 2.22e+00 2.7 1.00e+00 1.67e-01f 1\n", - " 326r 0.0000000e+00 1.71e+02 1.00e+03 0.9 6.67e+00 2.2 1.00e+00 1.37e-01f 1\n", - " 327r 0.0000000e+00 1.70e+02 1.00e+03 0.9 2.50e+00 2.6 1.00e+00 2.59e-01f 1\n", - " 328r 0.0000000e+00 1.70e+02 1.00e+03 0.9 9.39e-01 3.0 1.00e+00 7.32e-01f 1\n", - " 329r 0.0000000e+00 1.69e+02 1.00e+03 0.9 2.82e+00 2.6 1.00e+00 1.44e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 330r 0.0000000e+00 1.69e+02 1.00e+03 0.9 1.06e+00 3.0 1.00e+00 5.89e-01f 1\n", - " 331r 0.0000000e+00 1.68e+02 1.00e+03 0.9 3.96e-01 3.4 1.00e+00 2.56e-01f 1\n", - " 332r 0.0000000e+00 1.68e+02 1.00e+03 0.9 1.19e+00 2.9 1.00e+00 3.57e-01f 1\n", - " 333r 0.0000000e+00 1.68e+02 1.00e+03 0.9 4.45e-01 3.4 1.00e+00 8.09e-01f 1\n", - " 334r 0.0000000e+00 1.67e+02 1.00e+03 0.9 1.34e+00 2.9 1.00e+00 3.48e-01f 1\n", - " 335r 0.0000000e+00 1.67e+02 1.00e+03 0.9 4.01e+00 2.4 1.00e+00 8.71e-02f 1\n", - " 336r 0.0000000e+00 1.66e+02 1.00e+03 0.9 1.50e+00 2.8 1.00e+00 3.21e-01f 1\n", - " 337r 0.0000000e+00 1.66e+02 1.00e+03 0.9 4.51e+00 2.3 1.00e+00 1.65e-01f 1\n", - " 338r 0.0000000e+00 1.65e+02 1.00e+03 0.9 1.69e+00 2.8 1.00e+00 3.02e-01f 1\n", - " 339r 0.0000000e+00 1.65e+02 1.00e+03 0.9 6.34e-01 3.2 1.00e+00 4.10e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 340r 0.0000000e+00 1.64e+02 1.00e+03 0.9 1.90e+00 2.7 1.00e+00 2.32e-01f 1\n", - " 341r 0.0000000e+00 1.64e+02 1.00e+03 0.9 7.14e-01 3.1 1.00e+00 3.44e-01f 1\n", - " 342r 0.0000000e+00 1.64e+02 1.52e+03 0.9 2.14e+00 2.7 1.87e-01 2.07e-01f 1\n", - " 343r 0.0000000e+00 1.62e+02 1.11e+03 0.9 6.42e+00 2.2 1.00e+00 3.39e-01f 1\n", - " 344r 0.0000000e+00 1.59e+02 2.81e+03 0.9 2.41e+00 2.6 2.24e-01 1.00e+00f 1\n", - " 345r 0.0000000e+00 1.58e+02 1.00e+03 0.9 9.03e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 346r 0.0000000e+00 1.58e+02 1.00e+03 0.9 3.39e-01 3.5 1.00e+00 1.00e+00f 1\n", - " 347r 0.0000000e+00 1.57e+02 1.00e+03 0.9 1.02e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 348r 0.0000000e+00 1.54e+02 1.00e+03 0.9 3.05e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 349r 0.0000000e+00 1.53e+02 1.00e+03 0.9 1.14e+00 2.9 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 350r 0.0000000e+00 1.52e+02 1.00e+03 0.9 4.29e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 351r 0.0000000e+00 1.51e+02 1.00e+03 0.9 1.29e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 352r 0.0000000e+00 1.47e+02 1.00e+03 0.9 3.86e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 353r 0.0000000e+00 1.46e+02 1.00e+03 0.9 1.45e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 354r 0.0000000e+00 1.41e+02 1.00e+03 0.9 4.34e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 355r 0.0000000e+00 1.40e+02 1.00e+03 0.9 1.63e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 356r 0.0000000e+00 1.39e+02 1.00e+03 0.9 6.10e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 357r 0.0000000e+00 1.38e+02 1.37e+03 0.9 1.83e+00 2.7 4.97e-01 4.29e-01f 1\n", - " 358r 0.0000000e+00 1.38e+02 1.00e+03 0.9 6.87e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 359r 0.0000000e+00 1.36e+02 1.00e+03 0.9 2.06e+00 2.7 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 360r 0.0000000e+00 1.35e+02 1.00e+03 0.9 7.72e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 361r 0.0000000e+00 1.34e+02 1.00e+03 0.9 2.90e-01 3.5 1.00e+00 1.00e+00f 1\n", - " 362r 0.0000000e+00 1.34e+02 1.00e+03 0.9 8.69e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 363r 0.0000000e+00 1.31e+02 1.00e+03 0.9 2.61e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 364r 0.0000000e+00 1.30e+02 1.00e+03 0.9 9.77e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 365r 0.0000000e+00 1.27e+02 1.00e+03 0.9 2.93e+00 2.5 1.00e+00 1.00e+00f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 366r 0.0000000e+00 1.26e+02 1.00e+03 0.9 1.10e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 367r 0.0000000e+00 1.26e+02 1.00e+03 0.9 4.12e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 368r 0.0000000e+00 1.24e+02 1.00e+03 0.9 1.24e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 369r 0.0000000e+00 1.24e+02 1.00e+03 0.9 4.64e-01 3.3 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 370r 0.0000000e+00 1.23e+02 1.00e+03 0.9 1.39e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 371r 0.0000000e+00 1.22e+02 1.00e+03 0.9 5.22e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 372r 0.0000000e+00 1.20e+02 1.00e+03 0.9 1.57e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 373r 0.0000000e+00 1.20e+02 1.00e+03 0.9 5.87e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 374r 0.0000000e+00 1.18e+02 1.09e+03 0.9 1.76e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 375r 0.0000000e+00 1.17e+02 1.00e+03 0.9 6.61e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 376r 0.0000000e+00 1.16e+02 1.33e+03 0.9 1.98e+00 2.7 7.63e-01 6.83e-01f 1\n", - " 377r 0.0000000e+00 1.15e+02 1.00e+03 0.9 7.43e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 378r 0.0000000e+00 1.14e+02 1.42e+03 0.9 2.23e+00 2.7 4.30e-01 4.33e-01f 1\n", - " 379r 0.0000000e+00 1.14e+02 1.00e+03 0.9 8.36e-01 3.1 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 380r 0.0000000e+00 1.13e+02 1.24e+03 0.9 2.51e+00 2.6 3.95e-01 3.59e-01f 1\n", - " 381r 0.0000000e+00 1.12e+02 1.00e+03 0.9 9.40e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 382r 0.0000000e+00 1.11e+02 1.00e+03 0.9 3.53e-01 3.5 1.00e+00 1.00e+00f 1\n", - " 383r 0.0000000e+00 1.10e+02 1.00e+03 0.9 1.06e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 384r 0.0000000e+00 1.10e+02 1.00e+03 0.9 3.97e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 385r 0.0000000e+00 1.09e+02 1.00e+03 0.9 1.19e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 386r 0.0000000e+00 1.08e+02 1.00e+03 0.9 4.46e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 387r 0.0000000e+00 1.07e+02 1.00e+03 0.9 1.34e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 388r 0.0000000e+00 1.06e+02 1.00e+03 0.9 5.02e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 389r 0.0000000e+00 1.05e+02 1.00e+03 0.9 1.51e+00 2.8 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 390r 0.0000000e+00 1.04e+02 1.00e+03 0.9 5.65e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 391r 0.0000000e+00 1.03e+02 1.00e+03 0.9 1.69e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 392r 0.0000000e+00 1.02e+02 1.00e+03 0.9 6.36e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 393r 0.0000000e+00 1.00e+02 1.00e+03 0.9 1.91e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 394r 0.0000000e+00 9.94e+01 1.00e+03 0.9 7.15e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 395r 0.0000000e+00 9.72e+01 1.00e+03 0.9 2.14e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 396r 0.0000000e+00 9.64e+01 1.00e+03 0.9 8.04e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 397r 0.0000000e+00 9.40e+01 1.00e+03 0.9 2.41e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 398r 0.0000000e+00 9.31e+01 1.00e+03 0.9 9.05e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 399r 0.0000000e+00 9.19e+01 1.41e+03 0.9 2.71e+00 2.6 3.99e-01 4.32e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 400r 0.0000000e+00 9.09e+01 1.00e+03 0.9 1.02e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 401r 0.0000000e+00 9.07e+01 1.46e+03 0.9 3.05e+00 2.5 5.09e-02 5.83e-02f 1\n", - " 402r 0.0000000e+00 8.96e+01 1.00e+03 0.9 1.15e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 403r 0.0000000e+00 8.91e+01 1.00e+03 0.9 4.29e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 404r 0.0000000e+00 8.79e+01 1.00e+03 0.9 1.29e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 405r 0.0000000e+00 8.74e+01 1.00e+03 0.9 4.83e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 406r 0.0000000e+00 8.59e+01 1.00e+03 0.9 1.45e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 407r 0.0000000e+00 8.54e+01 1.00e+03 0.9 5.44e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 408r 0.0000000e+00 8.38e+01 1.00e+03 0.9 1.63e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 409r 0.0000000e+00 8.31e+01 1.00e+03 0.9 6.11e-01 3.2 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 410r 0.0000000e+00 8.13e+01 1.00e+03 0.9 1.83e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 411r 0.0000000e+00 8.06e+01 1.00e+03 0.9 6.88e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 412r 0.0000000e+00 7.86e+01 1.00e+03 0.9 2.06e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 413r 0.0000000e+00 7.78e+01 1.00e+03 0.9 7.74e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 414r 0.0000000e+00 7.55e+01 1.00e+03 0.9 2.32e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 415r 0.0000000e+00 7.46e+01 1.00e+03 0.9 8.71e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 416r 0.0000000e+00 7.20e+01 1.00e+03 0.9 2.61e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 417r 0.0000000e+00 7.10e+01 1.00e+03 0.9 9.79e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 418r 0.0000000e+00 6.81e+01 1.00e+03 0.9 2.94e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 419r 0.0000000e+00 6.70e+01 1.00e+03 0.9 1.10e+00 3.0 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 420r 0.0000000e+00 6.45e+01 1.45e+03 0.9 3.31e+00 2.5 6.14e-01 7.50e-01f 1\n", - " 421r 0.0000000e+00 6.32e+01 1.00e+03 0.9 1.24e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 422r 0.0000000e+00 6.28e+01 1.00e+03 0.9 4.65e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 423r 0.0000000e+00 6.14e+01 1.00e+03 0.9 1.39e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 424r 0.0000000e+00 6.09e+01 1.00e+03 0.9 5.23e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 425r 0.0000000e+00 5.93e+01 1.00e+03 0.9 1.57e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 426r 0.0000000e+00 5.87e+01 1.00e+03 0.9 5.88e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 427r 0.0000000e+00 5.70e+01 1.00e+03 0.9 1.76e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 428r 0.0000000e+00 5.63e+01 1.00e+03 0.9 6.62e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 429r 0.0000000e+00 5.43e+01 1.00e+03 0.9 1.99e+00 2.7 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 430r 0.0000000e+00 5.35e+01 1.00e+03 0.9 7.45e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 431r 0.0000000e+00 5.13e+01 1.00e+03 0.9 2.23e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 432r 0.0000000e+00 5.05e+01 1.00e+03 0.9 8.38e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 433r 0.0000000e+00 4.80e+01 1.00e+03 0.9 2.51e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 434r 0.0000000e+00 4.70e+01 1.00e+03 0.9 9.42e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 435r 0.0000000e+00 4.43e+01 1.00e+03 0.9 2.83e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 436r 0.0000000e+00 4.31e+01 1.00e+03 0.9 1.06e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 437r 0.0000000e+00 4.00e+01 1.19e+03 0.9 3.18e+00 2.5 9.84e-01 1.00e+00f 1\n", - " 438r 0.0000000e+00 3.88e+01 1.00e+03 0.9 1.19e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 439r 0.0000000e+00 3.53e+01 9.99e+02 0.9 3.58e+00 2.4 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 440r 0.0000000e+00 3.39e+01 9.99e+02 0.9 1.34e+00 2.9 1.00e+00 1.00e+00f 1\n", - " 441r 0.0000000e+00 3.33e+01 1.36e+03 0.9 4.02e+00 2.4 1.14e-01 1.33e-01f 1\n", - " 442r 0.0000000e+00 3.18e+01 9.99e+02 0.9 1.51e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 443r 0.0000000e+00 3.12e+01 9.99e+02 0.9 5.66e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 444r 0.0000000e+00 2.96e+01 9.99e+02 0.9 1.70e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 445r 0.0000000e+00 2.88e+01 1.45e+03 0.9 5.09e+00 2.3 1.15e-01 1.53e-01f 1\n", - " 446r 0.0000000e+00 2.69e+01 9.99e+02 0.9 1.91e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 447r 0.0000000e+00 2.61e+01 9.99e+02 0.9 7.16e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 448r 0.0000000e+00 2.40e+01 9.99e+02 0.9 2.15e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 449r 0.0000000e+00 1.83e+01 9.99e+02 0.9 6.44e+00 2.2 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 450r 0.0000000e+00 1.54e+01 9.99e+02 0.9 2.42e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 451r 0.0000000e+00 9.51e+00 1.05e+03 0.9 7.24e+00 2.1 1.00e+00 1.00e+00f 1\n", - " 452r 0.0000000e+00 8.34e+00 2.50e+03 0.9 2.71e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 453r 0.0000000e+00 7.98e+00 5.56e+03 0.9 1.01e+00 3.0 1.00e+00 1.00e+00f 1\n", - " 454r 0.0000000e+00 7.28e+00 3.90e+04 0.9 2.86e+00 2.5 1.00e+00 6.38e-01f 1\n", - " 455r 0.0000000e+00 6.92e+00 1.53e+05 0.9 1.42e+00 2.9 1.00e+00 8.93e-01f 1\n", - " 456r 0.0000000e+00 5.70e+00 3.51e+04 0.9 1.81e+00 2.5 8.02e-01 1.00e+00f 1\n", - " 457r 0.0000000e+00 5.69e+00 9.82e+03 0.9 1.75e-02 4.7 1.00e+00 1.00e+00f 1\n", - " 458r 0.0000000e+00 5.67e+00 3.94e+03 0.9 5.21e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 459r 0.0000000e+00 5.61e+00 9.22e+04 0.9 2.03e-01 3.7 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 460r 0.0000000e+00 5.41e+00 4.83e+04 0.9 5.06e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 461r 0.0000000e+00 5.34e+00 3.97e+04 0.9 1.37e+00 2.8 1.00e+00 1.26e-01f 1\n", - " 462r 0.0000000e+00 3.62e+00 1.77e+03 0.9 1.73e+00 2.3 1.00e+00 1.00e+00f 1\n", - " 463r 0.0000000e+00 2.17e+01 1.25e+03 0.9 5.05e+00 1.8 2.60e-01 3.24e-01f 1\n", - " 464r 0.0000000e+00 2.14e+01 1.15e+03 0.9 2.44e+02 - 7.63e-02 1.07e-02f 1\n", - " 465r 0.0000000e+00 2.06e+01 1.03e+03 0.9 1.10e+02 - 5.53e-01 3.28e-02f 1\n", - " 466r 0.0000000e+00 7.20e+00 4.96e+03 0.9 1.02e+00 1.4 1.00e+00 1.00e+00f 1\n", - " 467r 0.0000000e+00 1.03e+01 7.63e+03 0.9 9.24e+01 - 2.66e-01 1.00e+00f 1\n", - " 468r 0.0000000e+00 1.85e+00 2.81e+03 0.9 9.58e+00 - 1.00e+00 1.00e+00f 1\n", - " 469r 0.0000000e+00 4.91e+02 3.74e+05 0.9 9.76e-01 - 4.11e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 470r 0.0000000e+00 4.01e+02 3.54e+05 0.9 2.99e+00 3.6 8.84e-02 8.88e-02h 1\n", - " 471r 0.0000000e+00 3.57e+01 8.05e+04 0.9 3.69e-01 4.0 1.00e+00 1.00e+00h 1\n", - " 472r 0.0000000e+00 1.68e+01 1.93e+04 0.9 1.13e-01 3.5 1.00e+00 5.89e-01f 1\n", - " 473r 0.0000000e+00 4.04e+00 1.46e+03 0.9 3.39e-01 - 1.00e+00 1.00e+00f 1\n", - " 474r 0.0000000e+00 3.77e+00 6.52e+02 0.9 3.32e-01 - 1.00e+00 1.00e+00f 1\n", - " 475r 0.0000000e+00 2.75e+00 5.05e+02 0.9 5.24e-01 - 1.00e+00 1.00e+00f 1\n", - " 476r 0.0000000e+00 3.37e+00 4.02e+02 0.9 5.36e-02 3.1 1.00e+00 1.00e+00f 1\n", - " 477r 0.0000000e+00 1.36e+01 1.95e+03 0.9 8.37e-01 - 1.00e+00 1.00e+00f 1\n", - " 478r 0.0000000e+00 6.67e-01 1.08e+02 0.9 2.49e-02 - 1.00e+00 1.00e+00h 1\n", - " 479r 0.0000000e+00 1.79e+00 5.34e+02 0.2 2.02e+00 - 1.00e+00 9.75e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 480r 0.0000000e+00 1.25e+00 8.68e+04 0.2 8.69e-01 2.6 4.61e-01 8.52e-01f 1\n", - " 481r 0.0000000e+00 1.58e+00 1.88e+04 0.2 1.16e+01 - 1.00e+00 1.00e+00f 1\n", - " 482r 0.0000000e+00 1.18e+00 1.38e+04 0.2 1.43e-01 3.0 2.61e-01 2.69e-01h 1\n", - " 483r 0.0000000e+00 1.63e-01 1.68e+03 0.2 8.07e-02 2.5 1.00e+00 1.00e+00h 1\n", - " 484r 0.0000000e+00 1.17e-01 2.12e+03 0.2 4.01e-02 3.0 1.00e+00 1.00e+00f 1\n", - " 485r 0.0000000e+00 1.17e-01 8.35e+01 0.2 4.56e-02 2.5 1.00e+00 1.00e+00f 1\n", - " 486r 0.0000000e+00 1.17e-01 1.41e+02 0.2 8.84e-02 2.0 1.00e+00 1.00e+00f 1\n", - " 487r 0.0000000e+00 1.17e-01 9.04e+01 0.2 1.50e-01 1.5 1.00e+00 1.00e+00f 1\n", - " 488r 0.0000000e+00 2.51e-01 1.50e+02 0.2 2.25e-01 1.0 1.00e+00 1.00e+00f 1\n", - " 489r 0.0000000e+00 4.40e-01 8.47e+02 0.2 9.96e+00 0.6 1.68e-01 2.62e-02f 3\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 490r 0.0000000e+00 2.34e-01 8.49e+01 0.2 1.81e-01 1.0 1.00e+00 4.53e-01h 1\n", - " 491r 0.0000000e+00 1.84e+00 4.23e+02 0.2 8.57e-01 0.5 1.00e+00 1.00e+00f 1\n", - " 492r 0.0000000e+00 1.17e+00 6.60e+02 0.2 1.10e+00 0.9 9.20e-01 4.05e-01f 2\n", - " 493r 0.0000000e+00 1.06e+00 8.84e+02 0.2 1.47e+00 0.5 1.00e+00 9.84e-02h 1\n", - " 494r 0.0000000e+00 2.53e+00 6.02e+01 0.2 2.56e-01 0.9 1.00e+00 1.00e+00f 1\n", - " 495r 0.0000000e+00 5.63e-01 1.80e+02 -0.5 2.17e-01 1.3 1.00e+00 9.96e-01f 1\n", - " 496r 0.0000000e+00 1.17e-01 1.86e+01 -0.5 5.50e-02 1.7 1.00e+00 1.00e+00f 1\n", - " 497r 0.0000000e+00 1.89e-01 2.83e+01 -0.5 1.35e-01 1.3 1.00e+00 1.00e+00f 1\n", - " 498r 0.0000000e+00 1.17e-01 3.06e+01 -0.5 7.11e-02 1.7 1.00e+00 1.00e+00f 1\n", - " 499r 0.0000000e+00 1.60e-01 4.03e+01 -0.5 1.41e-01 1.2 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 500r 0.0000000e+00 1.17e-01 2.63e+01 -0.5 7.14e-02 1.6 1.00e+00 1.00e+00f 1\n", - " 501r 0.0000000e+00 1.79e-01 4.51e+01 -0.5 1.62e-01 1.2 1.00e+00 1.00e+00f 1\n", - " 502r 0.0000000e+00 1.17e-01 2.80e+01 -0.5 9.56e-02 1.6 1.00e+00 1.00e+00f 1\n", - " 503r 0.0000000e+00 2.61e-01 8.75e+01 -0.5 2.01e-01 1.1 1.00e+00 1.00e+00f 1\n", - " 504r 0.0000000e+00 1.17e-01 2.73e+01 -0.5 1.16e-01 1.5 1.00e+00 1.00e+00f 1\n", - " 505r 0.0000000e+00 2.99e-01 1.30e+02 -0.5 2.16e-01 1.1 1.00e+00 1.00e+00f 1\n", - " 506r 0.0000000e+00 1.17e-01 3.01e+01 -0.5 1.25e-01 1.5 1.00e+00 1.00e+00f 1\n", - " 507r 0.0000000e+00 5.01e-01 2.27e+02 -0.5 2.94e-01 1.0 1.00e+00 1.00e+00f 1\n", - " 508r 0.0000000e+00 1.17e-01 4.95e+01 -0.5 1.73e-01 1.4 1.00e+00 1.00e+00f 1\n", - " 509r 0.0000000e+00 6.25e-01 2.86e+02 -0.5 3.45e-01 1.0 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 510r 0.0000000e+00 1.17e-01 9.11e+01 -0.5 2.17e-01 1.4 1.00e+00 1.00e+00f 1\n", - " 511r 0.0000000e+00 8.56e-01 3.83e+02 -0.5 4.42e-01 0.9 1.00e+00 1.00e+00f 1\n", - " 512r 0.0000000e+00 2.58e-01 1.58e+02 -0.5 2.69e-01 1.3 1.00e+00 1.00e+00f 1\n", - " 513r 0.0000000e+00 6.46e-01 2.61e+02 -0.5 3.64e-01 0.9 1.00e+00 9.52e-01f 1\n", - " 514r 0.0000000e+00 1.16e-01 6.39e+01 -0.5 1.97e-01 1.3 1.00e+00 1.00e+00f 1\n", - " 515r 0.0000000e+00 3.52e-01 1.08e+02 -0.5 2.41e-01 0.8 1.00e+00 1.00e+00f 1\n", - " 516r 0.0000000e+00 5.98e-01 9.39e+02 -0.5 1.29e+00 0.3 8.47e-01 2.93e-01f 1\n", - " 517r 0.0000000e+00 2.09e-01 1.23e+02 -0.5 2.77e-01 0.8 1.00e+00 7.81e-01f 1\n", - " 518r 0.0000000e+00 9.80e-01 2.65e+02 -0.5 6.40e-01 0.3 1.00e+00 7.40e-01f 1\n", - " 519r 0.0000000e+00 1.16e+00 6.17e+02 -0.5 1.72e+00 -0.2 5.97e-01 3.20e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 520r 0.0000000e+00 1.10e+00 9.20e+02 -0.5 5.85e+00 -0.7 1.97e-01 5.78e-02f 1\n", - " 521r 0.0000000e+00 8.87e-01 8.05e+02 -0.5 1.71e+00 -0.2 1.00e+00 3.36e-01f 1\n", - " 522r 0.0000000e+00 2.01e+00 4.78e+02 -0.5 2.29e+01 - 7.03e-01 6.02e-01f 1\n", - " 523r 0.0000000e+00 1.32e+00 3.74e+02 -0.5 9.11e+00 - 4.97e-01 1.96e-01f 1\n", - " 524r 0.0000000e+00 6.07e+00 2.91e+01 -0.5 7.32e+00 - 1.00e+00 1.00e+00h 1\n", - " 525r 0.0000000e+00 3.76e+00 1.21e+01 -0.5 1.91e-01 - 1.00e+00 1.00e+00h 1\n", - " 526r 0.0000000e+00 9.91e-02 1.29e+00 -0.5 3.14e-02 - 1.00e+00 1.00e+00h 1\n", - " 527r 0.0000000e+00 1.52e+00 5.13e+02 -1.9 3.13e+00 - 7.43e-01 3.02e-01f 1\n", - " 528r 0.0000000e+00 2.09e+00 4.96e+02 -1.9 1.90e+02 - 5.72e-01 2.84e-01f 1\n", - " 529r 0.0000000e+00 1.90e+00 4.50e+02 -1.9 1.34e+02 - 1.32e-01 9.01e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 530r 0.0000000e+00 1.72e+00 3.79e+02 -1.9 1.20e+02 - 1.97e-01 1.40e-01f 1\n", - " 531r 0.0000000e+00 1.68e+00 4.72e+02 -1.9 5.76e+01 - 7.39e-01 2.99e-02f 1\n", - " 532r 0.0000000e+00 2.05e+00 2.80e+02 -1.9 2.67e+00 - 1.00e+00 5.66e-01f 1\n", - " 533r 0.0000000e+00 1.81e+00 2.11e+02 -1.9 1.94e+00 - 1.00e+00 4.40e-01f 1\n", - " 534r 0.0000000e+00 1.25e+00 1.97e+02 -1.9 1.14e+00 - 9.66e-01 6.72e-01f 1\n", - " 535r 0.0000000e+00 3.97e-01 2.50e+02 -1.9 6.49e-01 - 1.00e+00 9.04e-01f 1\n", - " 536r 0.0000000e+00 3.66e-02 2.93e+02 -1.9 1.22e-01 - 1.00e+00 1.00e+00f 1\n", - " 537r 0.0000000e+00 3.62e-02 5.91e+02 -1.9 3.53e+00 0.2 2.46e-03 9.71e-03f 1\n", - " 538r 0.0000000e+00 1.33e-02 2.37e+02 -1.9 4.73e-03 3.3 9.22e-01 6.34e-01f 1\n", - " 539r 0.0000000e+00 1.47e-03 9.81e+01 -1.9 1.24e-02 2.8 1.00e+00 8.89e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 540r 0.0000000e+00 1.43e-03 9.68e+01 -1.9 3.34e-02 2.4 3.07e-01 3.25e-01f 1\n", - " 541r 0.0000000e+00 1.44e-03 4.68e+02 -1.9 2.54e-01 - 1.00e+00 2.20e-01f 1\n", - " 542r 0.0000000e+00 3.59e-03 7.06e+01 -1.9 6.41e-02 - 1.00e+00 1.00e+00f 1\n", - " 543r 0.0000000e+00 1.54e-03 1.51e+01 -1.9 2.44e-02 - 1.00e+00 1.00e+00h 1\n", - " 544r 0.0000000e+00 1.54e-03 1.73e+00 -1.9 4.46e-03 - 1.00e+00 1.00e+00h 1\n", - " 545r 0.0000000e+00 1.54e-03 1.21e-01 -1.9 1.23e-03 - 1.00e+00 1.00e+00h 1\n", - " 546r 0.0000000e+00 4.78e-02 2.21e+02 -2.8 7.48e-01 - 1.00e+00 2.42e-01f 1\n", - " 547r 0.0000000e+00 1.08e-01 1.99e+02 -2.8 4.57e-01 - 1.00e+00 5.17e-01f 1\n", - " 548r 0.0000000e+00 7.03e-02 2.55e+02 -2.8 2.22e-01 - 1.00e+00 5.34e-01f 1\n", - " 549r 0.0000000e+00 3.85e-02 1.02e+02 -2.8 1.57e-01 - 6.72e-01 6.66e-01f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 550r 0.0000000e+00 2.93e-02 8.99e+01 -2.8 1.27e-01 - 4.26e-01 2.80e-01f 1\n", - " 551r 0.0000000e+00 1.84e-02 1.76e+02 -2.8 1.15e-01 - 2.17e-01 5.25e-01f 1\n", - " 552r 0.0000000e+00 1.42e-02 1.27e+02 -2.8 9.58e-02 - 3.01e-01 2.73e-01f 1\n", - " 553r 0.0000000e+00 1.03e-02 1.88e+02 -2.8 8.58e-02 - 6.71e-01 3.49e-01f 1\n", - " 554r 0.0000000e+00 6.78e-03 1.29e+02 -2.8 7.59e-02 - 2.46e-01 4.95e-01f 1\n", - " 555r 0.0000000e+00 5.08e-03 1.02e+02 -2.8 6.67e-02 - 2.79e-01 3.28e-01f 1\n", - " 556r 0.0000000e+00 3.99e-03 8.57e+01 -2.8 5.91e-02 - 4.08e-01 2.69e-01f 1\n", - " 557r 0.0000000e+00 2.79e-03 1.03e+02 -2.8 5.11e-02 - 5.71e-01 4.22e-01f 1\n", - " 558r 0.0000000e+00 1.96e-03 5.43e+01 -2.8 4.44e-02 - 4.27e-01 4.54e-01f 1\n", - " 559r 0.0000000e+00 1.40e-03 8.40e+01 -2.8 3.54e-02 - 5.20e-01 3.84e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 560r 0.0000000e+00 1.08e-03 1.38e+02 -2.8 2.98e-02 - 5.52e-01 2.81e-01f 1\n", - " 561r 0.0000000e+00 7.04e-04 8.56e+01 -2.8 2.34e-02 - 5.84e-01 4.46e-01f 1\n", - " 562r 0.0000000e+00 4.83e-04 1.41e+02 -2.8 1.27e-02 - 6.89e-01 3.42e-01f 1\n", - " 563r 0.0000000e+00 1.65e-05 4.72e+01 -2.8 3.73e-03 - 7.72e-01 1.00e+00f 1\n", - " 564r 0.0000000e+00 5.18e-06 4.73e+00 -2.8 1.37e-03 - 1.00e+00 1.00e+00h 1\n", - " 565r 0.0000000e+00 4.69e-06 2.74e-02 -2.8 9.64e-05 - 1.00e+00 1.00e+00h 1\n", - " 566r 0.0000000e+00 3.46e-04 3.40e+02 -4.2 4.67e-02 - 1.00e+00 3.55e-01f 1\n", - " 567r 0.0000000e+00 1.76e-04 6.54e+01 -4.2 1.08e-02 - 1.00e+00 8.67e-01f 1\n", - " 568r 0.0000000e+00 6.96e-06 1.67e-01 -4.2 2.15e-03 - 1.00e+00 1.00e+00f 1\n", - " 569r 0.0000000e+00 4.93e-09 1.32e-05 -4.2 2.29e-06 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 569\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 4.9258938279284992e-09 4.9258938279284992e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 4.9258938279284992e-09 4.9258938279284992e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 586\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 587\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 572\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 569\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 134.466\n", - "Total CPU secs in NLP function evaluations = 28.534\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Output this time: [0.000199428298248, 4.137976326769276e-05, 4.1909048165743585e-05, 4.241854314230988e-05, 4.286950443483921e-05, 4.326573234616743e-05, 4.362059033035327e-05, 4.393653512963269e-05, 4.4232666594138584e-05, 4.451275206981188e-05, 4.480754393846541e-05, 4.513151937009993e-05, 4.5544404986108556e-05, 4.6093851407387254e-05, 4.691017905935825e-05, 4.813816029053185e-05, 5.006091439853504e-05, 5.3117524790529405e-05, 5.786193844836315e-05, 6.560804338307977e-05, 7.725019699097993e-05, 9.639929422231773e-05, 0.0001241121396790512, 0.0001688107211443777, 0.00023140132200490137, 0.0003273189847441588, 0.00045955046817649326, 0.0006465879605725359, 0.0009077662525227622, 0.0012417725504172401, 0.0017262542316430931, 0.0022867883843205113, 0.0031304003731353358, 0.004040080558234067, 0.005409131486580457, 0.00686653661783038, 0.00892367322954815, 0.011263969393829542, 0.014169485522030801, 0.01858225270729077, 0.022883757358220055, 0.02695139159835957, 0.030752637210985465, 0.03427360471013997, 0.037512667016736514, 0.040476275812153434, 0.043176058118013304, 0.04562678299873013, 0.047844936494340545, 0.049847728758423776, 0.051652411055480636, 0.05327581580967291, 0.05473405729243587, 0.05604234768628573, 0.057214895517158915, 0.058264862308050364, 0.05920435976808856, 0.06004447457294175, 0.06079531128814631, 0.06146604657197201, 0.06206498970938524, 0.06259964594792093, 0.0630767801572903, 0.06350247911117494, 0.06388221126136928, 0.06422088329293198, 0.06452289305297926, 0.06479217866572429, 0.06503226384593272]\n", - "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.579197955102359}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15579197955102358}, 'scena-name': [0]}\n", - "The inlet feed density is 41.0275814575221 [mol/m3]\n", - "the number of timepoints is 68\n", - "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", - "Model # of time grid is 69 , initial point # of time grid is 69\n", - "Parameters: 212 , 15.579197955102359\n", - "temp_feed is fixed at 313.15\n", - "temp_bath is fixed at 293.15\n", - "yfeed is fixed at 0.15\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.50e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (2556636)\n", - " 1 0.0000000e+00 2.49e+02 1.27e+01 -1.0 1.25e+02 - 4.01e-02 2.98e-03h 1\n", - " 2 0.0000000e+00 2.49e+02 7.24e+04 -1.0 1.25e+02 - 1.48e-01 2.98e-05h 1\n", - " 3r 0.0000000e+00 2.49e+02 9.99e+02 2.4 0.00e+00 - 0.00e+00 1.49e-07R 2\n", - " 4r 0.0000000e+00 3.29e+02 2.19e+04 2.4 2.22e+05 - 1.31e-04 7.65e-04f 1\n", - " 5r 0.0000000e+00 3.29e+02 2.19e+04 2.4 3.23e+05 - 8.34e-04 2.58e-05f 1\n", - " 6r 0.0000000e+00 3.10e+02 2.11e+04 2.4 5.28e+04 - 6.58e-03 8.09e-04f 1\n", - " 7r 0.0000000e+00 2.61e+02 1.77e+04 2.4 8.68e+03 - 3.16e-02 6.16e-03f 1\n", - " 8r 0.0000000e+00 4.79e+02 1.11e+07 2.4 4.70e-01 4.0 7.74e-01 7.76e-01f 1\n", - " 9r 0.0000000e+00 3.03e+02 9.74e+06 2.4 2.41e-01 6.2 8.26e-01 4.31e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.24e+02 4.09e+06 2.4 2.20e-01 5.8 1.00e+00 8.12e-01h 1\n", - " 11r 0.0000000e+00 1.24e+02 8.25e+05 2.4 8.54e-02 6.2 9.58e-01 1.00e+00h 1\n", - " 12r 0.0000000e+00 1.24e+02 5.03e+05 2.4 2.58e-02 5.7 1.00e+00 1.00e+00f 1\n", - " 13r 0.0000000e+00 1.24e+02 2.75e+04 2.4 2.42e-02 5.2 1.00e+00 1.00e+00f 1\n", - " 14r 0.0000000e+00 1.24e+02 1.81e+03 2.4 3.23e-02 4.7 1.00e+00 1.00e+00f 1\n", - " 15r 0.0000000e+00 1.24e+02 4.69e+03 1.0 5.79e-02 4.3 9.55e-01 1.00e+00f 1\n", - " 16r 0.0000000e+00 1.24e+02 2.39e+03 1.0 2.44e-02 4.7 1.00e+00 1.00e+00f 1\n", - " 17r 0.0000000e+00 1.24e+02 9.98e+02 1.0 6.00e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 18r 0.0000000e+00 1.24e+02 9.98e+02 1.0 1.80e-01 3.7 1.00e+00 4.34e-01f 1\n", - " 19r 0.0000000e+00 1.24e+02 9.99e+02 1.0 5.45e-01 3.3 1.00e+00 2.64e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 1.24e+02 9.99e+02 1.0 1.64e+00 2.8 1.00e+00 2.12e-01f 1\n", - " 21r 0.0000000e+00 1.23e+02 9.95e+02 1.0 4.83e+00 2.3 2.95e-01 1.37e-01f 1\n", - " 22r 0.0000000e+00 1.23e+02 1.32e+03 1.0 3.81e+00 2.7 8.52e-02 5.11e-02f 1\n", - " 23r 0.0000000e+00 1.23e+02 2.15e+03 1.0 6.79e-01 3.2 1.00e+00 4.09e-01f 1\n", - " 24r 0.0000000e+00 1.23e+02 2.28e+03 1.0 2.04e+00 2.7 1.00e+00 5.18e-01f 1\n", - " 25r 0.0000000e+00 1.15e+03 1.48e+06 1.0 1.10e+01 2.2 5.31e-02 1.46e-01f 1\n", - " 26r 0.0000000e+00 1.05e+03 1.36e+06 1.0 6.14e-01 4.4 9.84e-02 9.08e-02f 1\n", - " 27r 0.0000000e+00 6.06e+02 8.25e+05 1.0 4.27e-01 4.0 5.87e-01 5.15e-01f 1\n", - " 28r 0.0000000e+00 1.82e+02 9.24e+04 1.0 2.03e-01 4.4 6.37e-01 1.00e+00f 1\n", - " 29r 0.0000000e+00 1.22e+02 6.67e+04 1.0 1.22e-01 3.9 1.00e+00 6.12e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.22e+02 4.76e+04 1.0 3.63e-01 3.4 1.00e+00 3.58e-01f 1\n", - " 31r 0.0000000e+00 1.22e+02 3.80e+04 1.0 1.09e+00 3.0 1.00e+00 2.28e-01f 1\n", - " 32r 0.0000000e+00 1.22e+02 2.47e+04 1.0 4.08e-01 3.4 1.00e+00 4.24e-01f 1\n", - " 33r 0.0000000e+00 1.22e+02 1.92e+04 1.0 1.22e+00 2.9 1.00e+00 2.44e-01f 1\n", - " 34r 0.0000000e+00 1.22e+02 1.19e+04 1.0 4.59e-01 3.3 1.00e+00 4.08e-01f 1\n", - " 35r 0.0000000e+00 1.22e+02 5.10e+03 1.0 1.72e-01 3.8 1.00e+00 6.74e-01f 1\n", - " 36r 0.0000000e+00 1.21e+02 6.35e+03 1.0 5.16e-01 3.3 1.00e+00 3.30e-01f 1\n", - " 37r 0.0000000e+00 1.21e+02 2.57e+04 1.0 1.94e-01 3.7 1.00e+00 5.65e-01f 1\n", - " 38r 0.0000000e+00 1.21e+02 5.68e+04 1.0 5.81e-01 3.2 1.00e+00 3.48e-01f 1\n", - " 39r 0.0000000e+00 1.21e+02 5.36e+04 1.0 2.91e+00 2.8 1.43e-01 1.84e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 1.21e+02 3.86e+04 1.0 9.28e-01 3.2 1.00e+00 1.94e-01f 1\n", - " 41r 0.0000000e+00 1.21e+02 2.65e+04 1.0 7.48e-01 3.6 2.31e-01 5.39e-01f 1\n", - " 42r 0.0000000e+00 1.21e+02 2.35e+04 1.0 3.64e-01 4.0 1.00e+00 1.00e+00f 1\n", - " 43r 0.0000000e+00 1.21e+02 7.67e+03 1.0 3.45e-02 4.5 1.00e+00 1.00e+00f 1\n", - " 44r 0.0000000e+00 1.21e+02 9.93e+02 1.0 1.03e-01 4.0 1.00e+00 7.62e-01f 1\n", - " 45r 0.0000000e+00 1.21e+02 1.60e+05 1.0 6.29e-01 3.5 1.70e-01 4.47e-01f 1\n", - " 46r 0.0000000e+00 1.21e+02 1.37e+05 1.0 9.31e-01 3.0 1.00e+00 1.61e-01f 1\n", - " 47r 0.0000000e+00 1.21e+02 1.07e+05 1.0 3.13e+00 2.6 1.00e+00 1.67e-01f 1\n", - " 48r 0.0000000e+00 1.20e+02 7.89e+04 1.0 1.05e+00 3.0 1.00e+00 2.90e-01f 1\n", - " 49r 0.0000000e+00 1.20e+02 4.56e+04 1.0 3.93e-01 3.4 1.00e+00 5.51e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 1.20e+02 3.47e+04 1.0 1.18e+00 2.9 1.00e+00 2.58e-01f 1\n", - " 51r 0.0000000e+00 1.20e+02 2.15e+04 1.0 4.42e-01 3.4 1.00e+00 4.21e-01f 1\n", - " 52r 0.0000000e+00 1.20e+02 7.22e+03 1.0 1.66e-01 3.8 1.00e+00 7.62e-01f 1\n", - " 53r 0.0000000e+00 1.20e+02 4.80e+03 1.0 4.97e-01 3.3 1.00e+00 3.37e-01f 1\n", - " 54r 0.0000000e+00 1.20e+02 2.15e+03 1.0 1.86e-01 3.7 1.00e+00 5.61e-01f 1\n", - " 55r 0.0000000e+00 1.20e+02 1.45e+03 1.0 5.59e-01 3.2 1.00e+00 3.16e-01f 1\n", - " 56r 0.0000000e+00 1.20e+02 9.93e+02 1.0 2.10e-01 3.7 1.00e+00 6.24e-01f 1\n", - " 57r 0.0000000e+00 1.20e+02 9.93e+02 1.0 6.29e-01 3.2 1.00e+00 3.35e-01f 1\n", - " 58r 0.0000000e+00 1.20e+02 9.93e+02 1.0 2.36e-01 3.6 1.00e+00 5.79e-01f 1\n", - " 59r 0.0000000e+00 1.19e+02 9.93e+02 1.0 7.07e-01 3.1 1.00e+00 3.00e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 1.19e+02 9.93e+02 1.0 2.65e-01 3.6 1.00e+00 4.67e-01f 1\n", - " 61r 0.0000000e+00 1.19e+02 9.93e+02 1.0 7.96e-01 3.1 1.00e+00 2.92e-01f 1\n", - " 62r 0.0000000e+00 1.19e+02 9.93e+02 1.0 2.98e-01 3.5 1.00e+00 4.77e-01f 1\n", - " 63r 0.0000000e+00 1.19e+02 9.93e+02 1.0 8.95e-01 3.0 1.00e+00 3.02e-01f 1\n", - " 64r 0.0000000e+00 1.19e+02 1.06e+03 1.0 3.36e-01 3.5 1.00e+00 8.12e-01f 1\n", - " 65r 0.0000000e+00 1.19e+02 9.93e+02 1.0 1.01e+00 3.0 1.00e+00 1.77e-01f 1\n", - " 66r 0.0000000e+00 1.19e+02 9.93e+02 1.0 3.02e+00 2.5 1.00e+00 1.69e-01f 1\n", - " 67r 0.0000000e+00 1.18e+02 9.93e+02 1.0 1.13e+00 2.9 1.00e+00 3.10e-01f 1\n", - " 68r 0.0000000e+00 1.18e+02 9.93e+02 1.0 4.25e-01 3.4 1.00e+00 4.77e-01f 1\n", - " 69r 0.0000000e+00 1.18e+02 9.93e+02 1.0 1.59e-01 3.8 1.00e+00 7.58e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 1.18e+02 9.93e+02 1.0 4.78e-01 3.3 1.00e+00 3.39e-01f 1\n", - " 71r 0.0000000e+00 1.18e+02 9.93e+02 1.0 1.79e-01 3.7 1.00e+00 6.25e-01f 1\n", - " 72r 0.0000000e+00 1.18e+02 9.93e+02 1.0 5.38e-01 3.3 1.00e+00 3.12e-01f 1\n", - " 73r 0.0000000e+00 1.18e+02 9.93e+02 1.0 1.61e+00 2.8 1.00e+00 2.00e-01f 1\n", - " 74r 0.0000000e+00 1.18e+02 9.92e+02 1.0 4.84e+00 2.3 1.00e+00 1.39e-01f 1\n", - " 75r 0.0000000e+00 1.17e+02 9.93e+02 1.0 1.81e+00 2.7 1.00e+00 2.75e-01f 1\n", - " 76r 0.0000000e+00 1.17e+02 9.92e+02 1.0 5.44e+00 2.3 5.56e-01 1.67e-01f 1\n", - " 77r 0.0000000e+00 1.17e+02 9.92e+02 1.0 2.04e+00 2.7 1.00e+00 2.09e-01f 1\n", - " 78r 0.0000000e+00 1.16e+02 9.93e+02 1.0 7.66e-01 3.1 1.00e+00 4.26e-01f 1\n", - " 79r 0.0000000e+00 1.16e+02 9.93e+02 1.0 2.87e-01 3.5 1.00e+00 5.71e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 1.16e+02 9.92e+02 1.0 8.61e-01 3.1 1.00e+00 2.98e-01f 1\n", - " 81r 0.0000000e+00 1.16e+02 9.92e+02 1.0 2.58e+00 2.6 1.00e+00 1.75e-01f 1\n", - " 82r 0.0000000e+00 1.16e+02 9.92e+02 1.0 7.75e+00 2.1 1.00e+00 1.34e-01f 1\n", - " 83r 0.0000000e+00 1.15e+02 9.92e+02 1.0 2.91e+00 2.5 1.00e+00 2.13e-01f 1\n", - " 84r 0.0000000e+00 1.15e+02 9.92e+02 1.0 8.71e+00 2.1 6.81e-01 1.53e-01f 1\n", - " 85r 0.0000000e+00 1.14e+02 1.10e+03 1.0 3.27e+00 2.5 1.00e+00 2.06e-01f 1\n", - " 86r 0.0000000e+00 1.14e+02 9.92e+02 1.0 1.23e+00 2.9 1.00e+00 3.96e-01f 1\n", - " 87r 0.0000000e+00 1.14e+02 9.92e+02 1.0 3.68e+00 2.4 1.00e+00 2.32e-01f 1\n", - " 88r 0.0000000e+00 1.14e+02 9.92e+02 1.0 1.72e-01 3.8 1.00e+00 1.00e+00f 1\n", - " 89r 0.0000000e+00 1.13e+02 9.92e+02 1.0 5.17e-01 3.3 1.00e+00 2.91e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 1.13e+02 9.92e+02 1.0 1.55e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 91r 0.0000000e+00 1.13e+02 9.91e+02 1.0 4.65e+00 2.3 1.00e+00 7.40e-02f 1\n", - " 92r 0.0000000e+00 1.12e+02 9.91e+02 1.0 1.74e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 93r 0.0000000e+00 1.11e+02 9.91e+02 1.0 6.54e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 94r 0.0000000e+00 1.10e+02 9.89e+02 1.0 1.96e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 95r 0.0000000e+00 1.10e+02 9.86e+02 1.0 7.32e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 96r 0.0000000e+00 1.10e+02 9.82e+02 1.0 2.73e-01 3.6 1.00e+00 1.00e+00f 1\n", - " 97r 0.0000000e+00 1.10e+02 9.69e+02 1.0 8.09e-01 3.1 1.00e+00 9.71e-01f 1\n", - " 98r 0.0000000e+00 1.08e+02 5.23e+02 1.0 1.19e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 99r 0.0000000e+00 1.08e+02 1.58e+03 1.0 4.47e-01 3.0 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 1.08e+02 4.76e+02 1.0 1.68e-01 3.5 1.00e+00 1.00e+00f 1\n", - " 101r 0.0000000e+00 1.07e+02 4.75e+02 1.0 5.02e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 102r 0.0000000e+00 1.06e+02 9.33e+02 1.0 1.50e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 103r 0.0000000e+00 1.05e+02 2.40e+03 1.0 5.61e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 104r 0.0000000e+00 1.03e+02 1.24e+03 1.0 1.67e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 105r 0.0000000e+00 1.03e+02 3.48e+03 1.0 6.26e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 106r 0.0000000e+00 1.01e+02 1.23e+03 1.0 1.87e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 107r 0.0000000e+00 1.00e+02 3.89e+03 1.0 6.99e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 108r 0.0000000e+00 1.00e+02 1.11e+03 1.0 2.62e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 109r 0.0000000e+00 9.97e+01 1.46e+03 1.0 7.83e-01 2.8 5.21e-01 4.28e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 9.74e+01 1.32e+04 1.0 2.33e+00 2.3 1.00e+00 1.00e+00f 1\n", - " 111r 0.0000000e+00 1.14e+03 3.98e+05 1.0 9.68e-01 2.7 8.54e-01 1.00e+00f 1\n", - " 112r 0.0000000e+00 8.08e+02 2.69e+05 1.0 2.28e-01 4.0 4.72e-01 3.14e-01f 1\n", - " 113r 0.0000000e+00 2.58e+02 2.00e+05 1.0 2.22e-01 4.5 1.15e-01 1.00e+00h 1\n", - " 114r 0.0000000e+00 1.03e+02 5.84e+04 1.0 3.66e-01 4.0 1.00e+00 8.22e-01f 1\n", - " 115r 0.0000000e+00 2.85e+02 4.90e+05 1.0 3.80e+00 3.5 4.22e-01 2.25e-01f 1\n", - " 116r 0.0000000e+00 9.63e+01 2.13e+05 1.0 2.99e-01 3.9 2.37e-01 1.00e+00f 1\n", - " 117r 0.0000000e+00 9.62e+01 4.83e+04 1.0 2.11e-01 3.5 1.00e+00 1.00e+00f 1\n", - " 118r 0.0000000e+00 9.61e+01 3.13e+04 1.0 1.15e-01 3.9 1.00e+00 1.00e+00f 1\n", - " 119r 0.0000000e+00 9.60e+01 1.12e+04 1.0 1.74e-01 3.4 1.00e+00 5.64e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 0.0000000e+00 9.60e+01 1.40e+03 1.0 6.54e-02 3.8 1.00e+00 1.00e+00f 1\n", - " 121r 0.0000000e+00 9.58e+01 4.57e+02 1.0 1.96e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 122r 0.0000000e+00 9.52e+01 5.02e+02 0.3 5.89e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 123r 0.0000000e+00 9.44e+01 6.28e+02 0.3 1.85e+00 2.4 8.23e-01 4.12e-01f 1\n", - " 124r 0.0000000e+00 9.37e+01 4.81e+02 0.3 6.96e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 125r 0.0000000e+00 9.16e+01 4.79e+02 0.3 2.08e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 126r 0.0000000e+00 9.11e+01 4.79e+02 0.3 7.80e-01 2.8 1.00e+00 6.58e-01f 1\n", - " 127r 0.0000000e+00 9.01e+01 7.70e+02 0.3 2.33e+00 2.3 9.91e-01 4.49e-01f 1\n", - " 128r 0.0000000e+00 8.92e+01 4.78e+02 0.3 8.75e-01 2.7 1.00e+00 1.00e+00f 1\n", - " 129r 0.0000000e+00 8.78e+01 5.38e+02 0.3 2.61e+00 2.3 1.00e+00 5.25e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r 0.0000000e+00 8.69e+01 4.76e+02 0.3 9.81e-01 2.7 1.00e+00 1.00e+00f 1\n", - " 131r 0.0000000e+00 8.39e+01 4.74e+02 0.3 2.93e+00 2.2 1.00e+00 1.00e+00f 1\n", - " 132r 0.0000000e+00 8.28e+01 4.73e+02 0.3 1.10e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 133r 0.0000000e+00 7.96e+01 4.71e+02 0.3 3.28e+00 2.2 1.00e+00 1.00e+00f 1\n", - " 134r 0.0000000e+00 7.83e+01 4.70e+02 0.3 1.23e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 135r 0.0000000e+00 7.47e+01 4.67e+02 0.3 3.66e+00 2.1 1.00e+00 1.00e+00f 1\n", - " 136r 0.0000000e+00 6.60e+01 7.54e+02 0.3 1.08e+01 1.6 9.93e-01 8.06e-01f 1\n", - " 137r 0.0000000e+00 6.54e+01 6.29e+02 0.3 4.04e+00 2.1 1.00e+00 1.34e-01f 1\n", - " 138r 0.0000000e+00 5.35e+01 4.53e+02 0.3 1.20e+01 1.6 1.00e+00 1.00e+00f 1\n", - " 139r 0.0000000e+00 4.90e+01 4.50e+02 0.3 4.45e+00 2.0 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r 0.0000000e+00 3.60e+01 4.40e+02 0.3 1.31e+01 1.5 1.00e+00 1.00e+00f 1\n", - " 141r 0.0000000e+00 6.00e-01 4.16e+02 0.3 3.70e+01 1.0 1.00e+00 9.59e-01f 1\n", - " 142r 0.0000000e+00 3.73e-01 7.72e+02 0.3 9.12e+01 0.6 6.26e-01 3.94e-03f 1\n", - " 143r 0.0000000e+00 3.65e-01 4.97e+02 0.3 1.13e+01 1.0 1.00e+00 2.12e-02f 1\n", - " 144r 0.0000000e+00 6.00e+01 8.03e+02 0.3 3.80e+00 0.5 5.49e-01 5.98e-01f 1\n", - " 145r 0.0000000e+00 4.22e+01 5.11e+02 0.3 1.43e+00 0.9 1.00e+00 3.40e-01f 1\n", - " 146r 0.0000000e+00 2.90e+00 4.49e+01 0.3 8.14e-01 1.4 1.00e+00 1.00e+00f 1\n", - " 147r 0.0000000e+00 2.22e+01 7.57e+02 -0.4 4.02e+00 0.9 2.42e-01 2.27e-01f 1\n", - " 148r 0.0000000e+00 1.74e+01 5.76e+02 -0.4 1.66e+00 0.4 8.34e-01 2.33e-01f 1\n", - " 149r 0.0000000e+00 2.89e+00 8.13e+01 -0.4 6.27e-01 0.8 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150r 0.0000000e+00 2.46e+00 4.75e+02 -0.4 8.76e+01 - 1.55e-01 1.86e-01f 1\n", - " 151r 0.0000000e+00 2.17e+00 4.00e+02 -0.4 7.46e+01 - 5.44e-01 1.36e-01f 1\n", - " 152r 0.0000000e+00 1.44e+00 4.81e+02 -0.4 6.47e+01 - 1.00e+00 5.67e-01f 1\n", - " 153r 0.0000000e+00 6.21e-01 8.90e+01 -0.4 5.62e-01 0.4 1.00e+00 1.00e+00f 1\n", - " 154r 0.0000000e+00 6.12e-01 1.91e+01 -0.4 2.74e+01 - 1.00e+00 1.00e+00f 1\n", - " 155r 0.0000000e+00 1.72e-01 7.07e+00 -0.4 2.35e-01 - 1.00e+00 1.00e+00h 1\n", - " 156r 0.0000000e+00 1.32e+00 3.72e+02 -1.1 2.04e+00 - 9.53e-01 3.81e-01f 1\n", - " 157r 0.0000000e+00 1.73e+00 5.36e+02 -1.1 5.44e+01 - 1.00e+00 4.40e-01f 1\n", - " 158r 0.0000000e+00 1.46e+00 3.31e+02 -1.1 3.04e+01 - 1.00e+00 2.78e-01f 1\n", - " 159r 0.0000000e+00 1.90e+00 1.98e+02 -1.1 2.20e+01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r 0.0000000e+00 2.62e+00 1.71e+02 -1.1 1.43e+00 - 1.00e+00 1.00e+00f 1\n", - " 161r 0.0000000e+00 4.31e-01 6.30e+01 -1.1 6.20e-01 - 1.00e+00 1.00e+00f 1\n", - " 162r 0.0000000e+00 5.92e-02 9.98e+01 -1.1 1.01e-01 - 1.00e+00 8.70e-01h 1\n", - " 163r 0.0000000e+00 5.92e-02 1.01e+01 -1.1 2.55e-02 - 1.00e+00 1.00e+00f 1\n", - " 164r 0.0000000e+00 5.92e-02 1.91e+01 -1.1 1.06e-02 - 1.00e+00 1.00e+00h 1\n", - " 165r 0.0000000e+00 5.92e-02 7.92e-01 -1.1 5.41e-04 - 1.00e+00 1.00e+00f 1\n", - " 166r 0.0000000e+00 1.02e+00 2.78e+02 -1.8 1.84e+00 - 7.37e-01 3.53e-01f 1\n", - " 167r 0.0000000e+00 1.35e+00 2.46e+02 -1.8 1.21e+02 - 1.00e+00 4.52e-01f 1\n", - " 168r 0.0000000e+00 1.32e+00 3.54e+02 -1.8 4.76e+01 - 1.00e+00 2.02e-02f 1\n", - " 169r 0.0000000e+00 8.07e-01 1.14e+02 -1.8 8.72e-01 - 1.00e+00 6.67e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r 0.0000000e+00 3.33e-01 7.98e+01 -1.8 3.92e-01 - 1.00e+00 7.28e-01f 1\n", - " 171r 0.0000000e+00 4.45e-02 5.10e+01 -1.8 1.89e-01 - 1.00e+00 1.00e+00f 1\n", - " 172r 0.0000000e+00 6.36e-03 4.00e+01 -1.8 5.03e-02 - 1.00e+00 8.71e-01h 1\n", - " 173r 0.0000000e+00 1.70e-03 2.10e+00 -1.8 1.17e-02 - 1.00e+00 1.00e+00f 1\n", - " 174r 0.0000000e+00 1.70e-03 5.48e-01 -1.8 7.21e-04 - 1.00e+00 1.00e+00h 1\n", - " 175r 0.0000000e+00 5.50e-02 2.20e+02 -2.7 7.51e-01 - 1.00e+00 2.46e-01f 1\n", - " 176r 0.0000000e+00 1.11e-01 2.64e+02 -2.7 5.29e-01 - 1.00e+00 4.17e-01f 1\n", - " 177r 0.0000000e+00 9.15e-02 1.84e+02 -2.7 3.23e-01 - 1.00e+00 4.72e-01f 1\n", - " 178r 0.0000000e+00 6.02e-02 1.55e+02 -2.7 2.03e-01 - 1.00e+00 5.47e-01f 1\n", - " 179r 0.0000000e+00 4.09e-02 1.11e+02 -2.7 1.57e-01 - 6.89e-01 4.18e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r 0.0000000e+00 2.45e-02 1.02e+02 -2.7 1.36e-01 - 2.85e-01 6.22e-01f 1\n", - " 181r 0.0000000e+00 1.84e-02 9.31e+01 -2.7 1.11e-01 - 4.53e-01 3.09e-01f 1\n", - " 182r 0.0000000e+00 1.18e-02 1.23e+02 -2.7 9.74e-02 - 1.00e+00 5.48e-01f 1\n", - " 183r 0.0000000e+00 8.02e-03 5.53e+01 -2.7 7.65e-02 - 3.60e-01 4.18e-01f 1\n", - " 184r 0.0000000e+00 5.42e-03 8.48e+01 -2.7 6.89e-02 - 3.63e-01 4.77e-01f 1\n", - " 185r 0.0000000e+00 3.65e-03 5.91e+01 -2.7 5.82e-02 - 4.76e-01 4.97e-01f 1\n", - " 186r 0.0000000e+00 2.51e-03 4.03e+01 -2.7 4.64e-02 - 4.41e-01 4.28e-01f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 187r 0.0000000e+00 1.67e-03 9.26e+01 -2.7 3.86e-02 - 6.51e-01 4.92e-01f 1\n", - " 188r 0.0000000e+00 9.92e-04 4.53e+01 -2.7 2.83e-02 - 6.33e-01 5.62e-01f 1\n", - " 189r 0.0000000e+00 5.19e-04 5.54e+01 -2.7 1.79e-02 - 7.52e-01 5.89e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190r 0.0000000e+00 2.87e-05 6.84e+00 -2.7 5.05e-03 - 1.00e+00 1.00e+00f 1\n", - " 191r 0.0000000e+00 1.25e-05 1.12e+00 -2.7 1.58e-03 - 1.00e+00 1.00e+00h 1\n", - " 192r 0.0000000e+00 1.22e-05 2.11e-02 -2.7 1.02e-04 - 1.00e+00 1.00e+00h 1\n", - " 193r 0.0000000e+00 5.20e-04 3.83e+02 -4.0 8.53e-02 - 1.00e+00 2.42e-01f 1\n", - " 194r 0.0000000e+00 7.58e-04 1.51e+02 -4.0 2.89e-02 - 1.00e+00 7.57e-01f 1\n", - " 195r 0.0000000e+00 2.92e-06 8.55e+00 -4.0 1.42e-03 - 9.52e-01 1.00e+00f 1\n", - " 196r 0.0000000e+00 5.33e-08 2.48e-02 -4.0 2.30e-04 - 1.00e+00 1.00e+00h 1\n", - " 197r 0.0000000e+00 9.68e-09 7.12e-08 -4.0 1.61e-07 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 197\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 9.6785813709879427e-09 9.6785813709879427e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 9.6785813709879427e-09 9.6785813709879427e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 200\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 200\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 199\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 197\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 18.683\n", - "Total CPU secs in NLP function evaluations = 9.758\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Output this time: [0.000199428298248, 4.134681752976386e-05, 4.189142844988351e-05, 4.240664905748878e-05, 4.286280676069029e-05, 4.3262670284424725e-05, 4.36205722954117e-05, 4.3938087421058035e-05, 4.4234602026223995e-05, 4.451315508327158e-05, 4.4803512762299476e-05, 4.5119446539042335e-05, 4.5517013643586665e-05, 4.604296134085937e-05, 4.681764127089205e-05, 4.798457086836292e-05, 4.980246685480379e-05, 5.270770446903561e-05, 5.720377259557984e-05, 6.458779490746851e-05, 7.568593486866916e-05, 9.40113654717625e-05, 0.00012064369215979747, 0.000163610691772564, 0.00022430098217350478, 0.0003169178542918453, 0.00044622248231284274, 0.0006276178770456338, 0.0008847311378786182, 0.0012105326537026233, 0.0016892049200612023, 0.002240553090321295, 0.00307403084911705, 0.00397750627938659, 0.0053264977228423185, 0.006787780623360933, 0.008806304719813023, 0.011170709930469449, 0.014006240727983833, 0.01842989503490152, 0.02276088749566126, 0.026857682520224763, 0.030686181723902344, 0.03423169570665536, 0.03749224386422116, 0.04047420930815383, 0.04318932734872514, 0.04565257921978033, 0.047880717956895136, 0.04989124299664553, 0.051701696082741735, 0.05332918814383217, 0.05479009225585366, 0.05609985568407271, 0.05727289677038676, 0.05832256165694461, 0.05926112255804583, 0.060099804218832965, 0.0608488288265523, 0.06151747231866411, 0.06211412701320343, 0.06264636695259812, 0.06312101343564204, 0.06354419901131715, 0.06392142879501216, 0.06425763839618752, 0.06455724805690206, 0.06482421282550016, 0.06506206882083215]\n", - "This scenario: {'fitted_transport_coefficient': {0: 209.88}, 'ua': {0: 15.424948470398375}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.0987999999999998, 'ua': 0.15424948470398375}, 'scena-name': [0]}\n", - "The inlet feed density is 41.0275814575221 [mol/m3]\n", - "the number of timepoints is 68\n", - "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", - "Model # of time grid is 69 , initial point # of time grid is 69\n", - "Parameters: 209.88 , 15.424948470398375\n", - "temp_feed is fixed at 313.15\n", - "temp_bath is fixed at 293.15\n", + "temp_bath is fixed at 313.15\n", "yfeed is fixed at 0.15\n", "Ipopt 3.13.2: linear_solver=ma57\n", "halt_on_ampl_error=yes\n", @@ -1304,620 +285,313 @@ " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 2.14e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (2554551)\n", - " 1 0.0000000e+00 2.14e+02 1.29e+01 -1.0 1.07e+02 - 4.05e-02 2.98e-03h 1\n", - " 2 0.0000000e+00 2.14e+02 7.45e+04 -1.0 1.07e+02 - 1.51e-01 2.98e-05h 1\n", - " 3r 0.0000000e+00 2.14e+02 9.99e+02 2.3 0.00e+00 - 0.00e+00 1.49e-07R 2\n", - " 4r 0.0000000e+00 3.72e+02 1.48e+04 2.3 1.87e+05 - 1.19e-04 7.91e-04f 1\n", - " 5r 0.0000000e+00 1.76e+03 1.78e+06 2.3 9.74e+02 0.0 1.13e-03 1.29e-02f 1\n", - " 6r 0.0000000e+00 6.38e+04 1.46e+06 2.3 5.27e+00 3.1 1.78e-01 1.77e-01f 1\n", - " 7r 0.0000000e+00 4.41e+04 7.29e+05 2.3 1.66e+00 5.4 3.14e-01 1.69e-01h 1\n", - " 8r 0.0000000e+00 4.34e+04 7.18e+05 2.3 8.02e-01 5.8 6.71e-02 1.54e-02h 1\n", - " 9r 0.0000000e+00 3.57e+04 5.86e+05 2.3 8.99e-01 5.3 4.51e-01 1.79e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 3.37e+04 5.52e+05 2.3 9.40e-01 5.7 2.69e-01 5.82e-02h 1\n", - " 11r 0.0000000e+00 3.11e+04 1.08e+06 2.3 8.61e-01 6.2 1.00e+00 7.74e-02h 1\n", - " 12r 0.0000000e+00 2.79e+04 1.55e+06 2.3 7.99e-01 6.6 4.40e-01 1.04e-01h 1\n", - " 13r 0.0000000e+00 2.61e+04 5.92e+06 2.3 7.34e-01 7.0 1.00e+00 6.64e-02h 1\n", - " 14r 0.0000000e+00 1.80e+04 8.41e+07 2.3 8.05e-01 6.5 7.14e-01 3.45e-01h 1\n", - " 15r 0.0000000e+00 1.40e+04 6.65e+07 2.3 7.00e-01 6.1 4.01e-01 2.38e-01h 1\n", - " 16r 0.0000000e+00 1.26e+04 5.99e+07 2.3 6.37e-01 6.5 7.71e-01 1.07e-01h 1\n", - " 17r 0.0000000e+00 1.25e+04 5.96e+07 2.3 7.52e-01 6.9 7.81e-01 5.67e-03h 1\n", - " 18r 0.0000000e+00 9.57e+03 8.56e+08 2.3 1.28e+00 6.4 5.21e-02 2.54e-01h 1\n", - " 19r 0.0000000e+00 8.41e+03 7.53e+08 2.3 6.62e-01 6.0 7.58e-01 1.26e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 3.22e+03 3.10e+08 2.3 9.15e-01 5.5 5.26e-01 8.29e-01h 1\n", - " 21r 0.0000000e+00 3.06e+03 2.95e+08 2.3 1.01e+00 5.9 2.91e-01 4.99e-02h 1\n", - " 22r 0.0000000e+00 3.04e+03 2.92e+08 2.3 1.01e+00 6.3 8.07e-01 8.27e-03h 1\n", - " 23r 0.0000000e+00 2.70e+03 2.59e+08 2.3 1.10e+00 5.9 3.48e-01 1.18e-01f 1\n", - " 24r 0.0000000e+00 2.52e+03 2.42e+08 2.3 1.25e+00 6.3 1.00e+00 6.71e-02h 1\n", - " 25r 0.0000000e+00 1.65e+03 1.60e+08 2.3 1.17e+00 5.8 4.55e-01 3.99e-01f 1\n", - " 26r 0.0000000e+00 1.21e+03 1.19e+08 2.3 7.02e-01 7.1 1.00e+00 2.97e-01h 1\n", - " 27r 0.0000000e+00 9.57e+02 9.67e+07 2.3 4.94e-01 7.6 2.24e-01 2.27e-01h 1\n", - " 28r 0.0000000e+00 2.95e+02 9.05e+07 2.3 3.82e-01 7.1 2.50e-02 1.00e+00f 1\n", - " 29r 0.0000000e+00 2.88e+02 8.84e+07 2.3 6.96e-01 7.5 5.94e-01 2.33e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 2.88e+02 8.82e+07 2.3 8.77e-01 7.9 9.91e-01 1.69e-03h 1\n", - " 31r 0.0000000e+00 1.06e+02 7.45e+08 2.3 9.04e-01 7.5 5.08e-01 7.33e-01f 1\n", - " 32r 0.0000000e+00 1.06e+02 6.97e+08 2.3 3.18e+00 7.9 6.28e-02 7.14e-02h 1\n", - "Reallocating memory for MA57: lfact (2837877)\n", - " 33r 0.0000000e+00 1.06e+02 6.96e+08 2.3 2.95e+00 8.3 2.51e-01 7.71e-04h 1\n", - " 34r 0.0000000e+00 1.06e+02 6.95e+08 2.3 4.42e+00 7.8 1.43e-01 1.98e-03h 1\n", - " 35r 0.0000000e+00 1.06e+02 1.20e+09 2.3 4.41e+00 8.3 1.00e+00 6.79e-01h 1\n", - "Reallocating memory for MA57: lfact (3142601)\n", - " 36r 0.0000000e+00 1.06e+02 2.03e+09 2.3 1.42e+00 8.7 7.73e-01 1.00e+00h 1\n", - " 37r 0.0000000e+00 1.06e+02 4.87e+09 2.3 2.96e-01 8.2 2.87e-01 1.00e+00f 1\n", - "Reallocating memory for MA57: lfact (3421911)\n", - " 38r 0.0000000e+00 1.06e+02 4.57e+09 2.3 3.01e-02 9.5 9.90e-01 5.79e-02h 1\n", - " 39r 0.0000000e+00 1.06e+02 4.73e+09 2.3 4.68e-02 9.1 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 1.06e+02 1.57e+09 2.3 4.27e-02 8.6 7.59e-01 1.00e+00f 1\n", - " 41r 0.0000000e+00 1.06e+02 5.48e+07 2.3 1.04e-02 8.1 4.87e-01 1.00e+00f 1\n", - " 42r 0.0000000e+00 1.06e+02 7.64e+05 2.3 9.32e-03 7.6 9.87e-01 1.00e+00f 1\n", - " 43r 0.0000000e+00 1.06e+02 1.46e+05 2.3 1.03e-02 7.2 9.96e-01 1.00e+00f 1\n", - " 44r 0.0000000e+00 1.06e+02 3.33e+04 2.3 3.90e-03 6.7 1.00e+00 1.00e+00f 1\n", - " 45r 0.0000000e+00 1.06e+02 3.91e+04 2.3 6.86e-03 6.2 1.00e+00 1.00e+00f 1\n", - " 46r 0.0000000e+00 1.06e+02 1.79e+04 2.3 1.19e-02 5.7 1.00e+00 1.00e+00f 1\n", - " 47r 0.0000000e+00 1.06e+02 2.51e+04 2.3 1.82e-02 5.2 1.00e+00 1.00e+00f 1\n", - " 48r 0.0000000e+00 1.06e+02 1.35e+05 2.3 4.22e-02 4.8 1.00e+00 1.00e+00f 1\n", - " 49r 0.0000000e+00 1.06e+02 1.30e+05 2.3 8.38e-02 4.3 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 1.06e+02 7.29e+03 2.3 2.47e-02 4.7 1.00e+00 1.00e+00f 1\n", - " 51r 0.0000000e+00 1.06e+02 3.30e+03 1.6 2.30e-02 5.1 1.00e+00 1.00e+00f 1\n", - " 52r 0.0000000e+00 1.06e+02 1.18e+03 1.6 2.54e-02 4.7 1.00e+00 1.00e+00f 1\n", - " 53r 0.0000000e+00 1.06e+02 1.70e+03 1.6 8.01e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 54r 0.0000000e+00 1.06e+02 1.35e+04 1.6 1.93e-01 3.7 1.00e+00 1.00e+00f 1\n", - " 55r 0.0000000e+00 1.06e+02 2.59e+04 1.6 7.45e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 56r 0.0000000e+00 9.58e+02 7.31e+05 1.6 3.68e-01 3.7 5.96e-01 5.48e-01f 1\n", - " 57r 0.0000000e+00 8.00e+02 6.03e+05 1.6 2.78e-02 5.9 1.00e+00 1.00e+00f 1\n", - " 58r 0.0000000e+00 1.86e+02 1.39e+05 1.6 2.04e-02 5.4 1.00e+00 1.00e+00f 1\n", - " 59r 0.0000000e+00 1.06e+02 5.40e+03 1.6 1.14e-02 4.9 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 1.06e+02 9.91e+02 1.6 3.41e-02 4.5 1.00e+00 1.00e+00f 1\n", - " 61r 0.0000000e+00 1.06e+02 1.59e+03 0.9 1.03e-01 4.0 1.00e+00 1.00e+00f 1\n", - " 62r 0.0000000e+00 1.05e+02 9.97e+02 0.9 3.08e-01 3.5 1.00e+00 4.88e-01f 1\n", - " 63r 0.0000000e+00 1.05e+02 9.93e+02 0.9 9.22e-01 3.0 1.00e+00 2.55e-01f 1\n", - " 64r 0.0000000e+00 1.05e+02 9.93e+02 0.9 2.77e+00 2.6 1.00e+00 1.55e-01f 1\n", - " 65r 0.0000000e+00 1.05e+02 9.92e+02 0.9 1.04e+00 3.0 1.00e+00 3.40e-01f 1\n", - " 66r 0.0000000e+00 1.05e+02 2.03e+03 0.9 3.11e+00 2.5 1.00e+00 2.57e-01f 1\n", - " 67r 0.0000000e+00 1.04e+02 9.92e+02 0.9 1.17e+00 2.9 1.00e+00 5.76e-01f 1\n", - " 68r 0.0000000e+00 1.04e+02 9.92e+02 0.9 3.50e+00 2.5 1.00e+00 2.02e-01f 1\n", - " 69r 0.0000000e+00 1.01e+02 3.66e+05 0.9 1.05e+01 2.0 5.02e-01 4.72e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 1.01e+02 3.02e+05 0.9 4.92e-01 3.3 1.00e+00 1.93e-01f 1\n", - " 71r 0.0000000e+00 1.01e+02 9.56e+04 0.9 1.48e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 72r 0.0000000e+00 9.84e+01 2.86e+04 0.9 4.42e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 73r 0.0000000e+00 9.76e+01 1.24e+04 0.9 1.66e+00 2.8 7.67e-01 1.00e+00f 1\n", - " 74r 0.0000000e+00 9.52e+01 1.73e+04 0.9 4.98e+00 2.3 1.00e+00 1.00e+00f 1\n", - " 75r 0.0000000e+00 9.43e+01 1.81e+03 0.9 1.87e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 76r 0.0000000e+00 9.30e+01 1.06e+03 0.9 5.60e+00 2.2 1.00e+00 4.76e-01f 1\n", - " 77r 0.0000000e+00 9.20e+01 9.91e+02 0.9 2.10e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 78r 0.0000000e+00 8.93e+01 1.38e+03 0.9 6.30e+00 2.2 1.00e+00 8.81e-01f 1\n", - " 79r 0.0000000e+00 8.82e+01 3.00e+03 0.9 2.36e+00 2.6 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 8.48e+01 9.72e+03 0.9 7.09e+00 2.1 1.00e+00 1.00e+00f 1\n", - " 81r 0.0000000e+00 8.46e+01 1.72e+04 0.9 3.32e-01 3.5 1.00e+00 1.00e+00f 1\n", - " 82r 0.0000000e+00 8.53e+01 8.96e+04 0.9 9.98e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 83r 0.0000000e+00 8.42e+01 5.82e+04 0.9 1.60e-01 4.3 4.71e-01 2.96e-01f 1\n", - " 84r 0.0000000e+00 8.41e+01 3.29e+04 0.9 2.47e-01 3.8 1.00e+00 1.00e+00f 1\n", - " 85r 0.0000000e+00 8.40e+01 1.96e+04 0.9 4.21e-01 3.4 1.00e+00 7.61e-01f 1\n", - " 86r 0.0000000e+00 8.39e+01 2.36e+03 0.9 1.58e-01 3.8 1.00e+00 1.00e+00f 1\n", - " 87r 0.0000000e+00 8.37e+01 3.67e+03 0.9 4.73e-01 3.3 1.00e+00 7.08e-01f 1\n", - " 88r 0.0000000e+00 8.31e+01 9.91e+02 0.9 1.42e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 89r 0.0000000e+00 8.11e+01 1.81e+03 0.9 4.26e+00 2.4 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 8.03e+01 3.89e+03 0.9 1.60e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 91r 0.0000000e+00 7.99e+01 3.15e+03 0.9 4.79e+00 2.3 1.00e+00 1.74e-01f 1\n", - " 92r 0.0000000e+00 7.99e+01 2.94e+03 0.9 1.80e+00 2.7 1.00e+00 7.43e-02f 1\n", - " 93r 0.0000000e+00 7.95e+01 2.42e+03 0.9 5.39e+00 2.3 1.00e+00 1.56e-01f 1\n", - " 94r 0.0000000e+00 7.92e+01 1.82e+03 0.9 2.02e+00 2.7 1.00e+00 2.68e-01f 1\n", - " 95r 0.0000000e+00 7.91e+01 1.08e+03 0.9 7.57e-01 3.1 1.00e+00 4.16e-01f 1\n", - " 96r 0.0000000e+00 7.88e+01 9.91e+02 0.9 2.27e+00 2.6 1.00e+00 2.24e-01f 1\n", - " 97r 0.0000000e+00 7.87e+01 9.91e+02 0.9 8.52e-01 3.1 1.00e+00 3.35e-01f 1\n", - " 98r 0.0000000e+00 7.85e+01 9.91e+02 0.9 2.56e+00 2.6 1.00e+00 1.98e-01f 1\n", - " 99r 0.0000000e+00 7.81e+01 9.91e+02 0.9 7.67e+00 2.1 3.58e-01 1.16e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 7.79e+01 9.91e+02 0.9 2.88e+00 2.5 1.00e+00 1.44e-01f 1\n", - " 101r 0.0000000e+00 7.77e+01 9.91e+02 0.9 1.08e+00 3.0 1.00e+00 3.68e-01f 1\n", - " 102r 0.0000000e+00 7.75e+01 1.01e+03 0.9 3.81e+00 2.5 1.10e-01 9.28e-02f 1\n", - " 103r 0.0000000e+00 7.71e+01 9.90e+02 0.9 9.70e+00 2.0 1.00e+00 1.02e-01f 1\n", - " 104r 0.0000000e+00 7.62e+01 9.89e+02 0.9 2.91e+01 1.5 9.79e-01 7.20e-02f 1\n", - " 105r 0.0000000e+00 7.59e+01 9.90e+02 0.9 1.36e+00 2.9 1.00e+00 4.18e-01f 1\n", - " 106r 0.0000000e+00 7.58e+01 9.91e+02 0.9 5.12e-01 3.3 1.00e+00 5.21e-01f 1\n", - " 107r 0.0000000e+00 7.56e+01 9.91e+02 0.9 1.53e+00 2.8 1.00e+00 2.87e-01f 1\n", - " 108r 0.0000000e+00 7.51e+01 9.90e+02 0.9 4.60e+00 2.3 1.00e+00 2.09e-01f 1\n", - " 109r 0.0000000e+00 7.45e+01 9.90e+02 0.9 1.38e+01 1.9 1.00e+00 1.01e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 7.41e+01 9.90e+02 0.9 5.18e+00 2.3 1.00e+00 1.66e-01f 1\n", - " 111r 0.0000000e+00 7.32e+01 9.88e+02 0.9 1.55e+01 1.8 1.00e+00 1.32e-01f 1\n", - " 112r 0.0000000e+00 7.29e+01 9.90e+02 0.9 7.28e-01 3.1 1.00e+00 8.31e-01f 1\n", - " 113r 0.0000000e+00 7.27e+01 9.90e+02 0.9 2.18e+00 2.7 1.00e+00 1.97e-01f 1\n", - " 114r 0.0000000e+00 7.26e+01 9.90e+02 0.9 8.19e-01 3.1 1.00e+00 4.08e-01f 1\n", - " 115r 0.0000000e+00 7.23e+01 9.90e+02 0.9 2.46e+00 2.6 1.00e+00 2.61e-01f 1\n", - " 116r 0.0000000e+00 7.19e+01 9.88e+02 0.9 7.36e+00 2.1 1.00e+00 1.08e-01f 1\n", - " 117r 0.0000000e+00 7.15e+01 9.88e+02 0.9 2.76e+00 2.6 1.00e+00 3.44e-01f 1\n", - " 118r 0.0000000e+00 7.10e+01 9.85e+02 0.9 8.25e+00 2.1 1.00e+00 1.18e-01f 1\n", - " 119r 0.0000000e+00 7.07e+01 9.84e+02 0.9 3.09e+00 2.5 1.00e+00 2.56e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 0.0000000e+00 7.05e+01 9.86e+02 0.9 1.16e+00 2.9 1.00e+00 4.23e-01f 1\n", - " 121r 0.0000000e+00 7.04e+01 9.87e+02 0.9 4.36e-01 3.4 1.00e+00 4.66e-01f 1\n", - " 122r 0.0000000e+00 7.02e+01 9.86e+02 0.9 1.31e+00 2.9 1.00e+00 2.64e-01f 1\n", - " 123r 0.0000000e+00 7.01e+01 9.86e+02 0.9 4.90e-01 3.3 1.00e+00 3.96e-01f 1\n", - " 124r 0.0000000e+00 7.00e+01 9.84e+02 0.9 1.47e+00 2.8 1.00e+00 2.26e-01f 1\n", - " 125r 0.0000000e+00 6.97e+01 9.67e+02 0.9 4.33e+00 2.3 1.00e+00 1.44e-01f 1\n", - " 126r 0.0000000e+00 6.95e+01 9.49e+02 0.9 1.59e+00 2.8 1.00e+00 2.51e-01f 1\n", - " 127r 0.0000000e+00 6.91e+01 7.51e+02 0.9 3.79e+00 2.3 1.00e+00 1.66e-01f 1\n", - " 128r 0.0000000e+00 6.89e+01 4.47e+02 0.9 8.43e-01 2.7 1.00e+00 3.14e-01f 1\n", - " 129r 0.0000000e+00 6.85e+01 4.47e+02 0.9 3.16e-01 3.2 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r 0.0000000e+00 6.83e+01 1.31e+03 0.9 9.46e-01 2.7 2.78e-01 2.42e-01f 1\n", - " 131r 0.0000000e+00 6.66e+01 6.14e+02 0.9 2.82e+00 2.2 1.00e+00 6.09e-01f 1\n", - " 132r 0.0000000e+00 6.55e+01 1.76e+03 0.9 1.06e+00 2.6 4.60e-01 1.00e+00f 1\n", - " 133r 0.0000000e+00 6.26e+01 4.38e+02 0.9 3.14e+00 2.1 1.00e+00 9.42e-01f 1\n", - " 134r 0.0000000e+00 6.25e+01 1.13e+03 0.9 1.50e+00 2.6 1.23e-01 1.07e-01f 1\n", - " 135r 0.0000000e+00 6.20e+01 4.38e+02 0.9 4.41e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 136r 0.0000000e+00 6.07e+01 4.36e+02 0.9 1.32e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 137r 0.0000000e+00 6.02e+01 1.06e+03 0.9 4.93e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 138r 0.0000000e+00 6.00e+01 4.35e+02 0.9 1.85e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 139r 0.0000000e+00 5.95e+01 4.34e+02 0.9 5.53e-01 2.9 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r 0.0000000e+00 5.78e+01 1.06e+03 0.9 1.65e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 141r 0.0000000e+00 5.30e+01 9.29e+03 0.9 4.87e+00 1.9 1.00e+00 1.00e+00f 1\n", - " 142r 0.0000000e+00 5.27e+01 4.86e+03 0.9 2.28e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 143r 0.0000000e+00 5.21e+01 5.03e+02 0.9 6.83e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 144r 0.0000000e+00 5.11e+01 8.37e+02 0.9 2.03e+00 2.3 6.08e-01 4.64e-01f 1\n", - " 145r 0.0000000e+00 5.04e+01 1.58e+03 0.9 7.64e-01 2.7 8.16e-01 8.86e-01f 1\n", - " 146r 0.0000000e+00 5.01e+01 4.20e+02 0.9 2.86e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 147r 0.0000000e+00 4.93e+01 4.19e+02 0.9 8.56e-01 2.7 1.00e+00 1.00e+00f 1\n", - " 148r 0.0000000e+00 4.90e+01 4.28e+02 0.9 3.21e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 149r 0.0000000e+00 4.80e+01 4.17e+02 0.9 9.59e-01 2.6 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150r 0.0000000e+00 4.52e+01 4.13e+02 0.9 2.85e+00 2.2 1.00e+00 1.00e+00f 1\n", - " 151r 0.0000000e+00 4.49e+01 1.18e+03 0.9 1.06e+00 2.6 2.77e-01 2.47e-01f 1\n", - " 152r 0.0000000e+00 4.45e+01 5.17e+02 0.9 4.00e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 153r 0.0000000e+00 4.33e+01 4.11e+02 0.9 1.19e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 154r 0.0000000e+00 4.29e+01 4.65e+02 0.9 4.47e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 155r 0.0000000e+00 4.15e+01 4.08e+02 0.9 1.34e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 156r 0.0000000e+00 4.10e+01 4.07e+02 0.9 5.00e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 157r 0.0000000e+00 4.00e+01 1.16e+03 0.9 1.49e+00 2.4 6.97e-01 6.83e-01f 1\n", - " 158r 0.0000000e+00 3.95e+01 4.05e+02 0.9 5.59e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 159r 0.0000000e+00 3.86e+01 1.01e+03 0.9 1.67e+00 2.4 5.83e-01 5.12e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r 0.0000000e+00 3.80e+01 7.79e+02 0.9 6.26e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 161r 0.0000000e+00 3.78e+01 4.03e+02 0.9 2.34e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 162r 0.0000000e+00 3.71e+01 4.02e+02 0.9 7.02e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 163r 0.0000000e+00 3.68e+01 4.01e+02 0.9 2.63e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 164r 0.0000000e+00 3.60e+01 5.00e+02 0.9 7.86e-01 2.7 1.00e+00 1.00e+00f 1\n", - " 165r 0.0000000e+00 3.57e+01 4.00e+02 0.9 2.95e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 166r 0.0000000e+00 3.48e+01 7.20e+02 0.9 8.81e-01 2.7 1.00e+00 1.00e+00f 1\n", - " 167r 0.0000000e+00 3.45e+01 3.98e+02 0.9 3.30e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 168r 0.0000000e+00 3.35e+01 1.28e+03 0.9 9.86e-01 2.6 1.00e+00 1.00e+00f 1\n", - " 169r 0.0000000e+00 3.32e+01 3.96e+02 0.9 3.69e-01 3.0 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r 0.0000000e+00 3.29e+01 1.42e+03 0.9 1.10e+00 2.6 1.99e-01 2.15e-01f 1\n", - " 171r 0.0000000e+00 3.25e+01 3.95e+02 0.9 4.14e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 172r 0.0000000e+00 3.13e+01 3.93e+02 0.9 1.24e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 173r 0.0000000e+00 3.08e+01 5.09e+02 0.2 4.65e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 174r 0.0000000e+00 2.92e+01 4.52e+02 0.2 1.60e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 175r 0.0000000e+00 2.44e+01 4.49e+02 0.2 4.77e+00 2.0 1.00e+00 1.00e+00f 1\n", - " 176r 0.0000000e+00 1.04e+01 4.40e+02 0.2 1.40e+01 1.5 1.00e+00 1.00e+00f 1\n", - " 177r 0.0000000e+00 5.23e+00 4.37e+02 0.2 5.22e+00 1.9 1.00e+00 1.00e+00f 1\n", - " 178r 0.0000000e+00 2.84e-01 4.33e+02 0.2 1.53e+01 1.4 1.00e+00 3.24e-01f 1\n", - " 179r 0.0000000e+00 1.96e-01 4.29e+02 0.2 3.69e+01 1.0 1.00e+00 2.41e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r 0.0000000e+00 3.53e-02 3.64e+02 0.2 1.19e+00 1.4 1.00e+00 1.63e-01f 1\n", - " 181r 0.0000000e+00 2.11e-01 1.27e+02 0.2 1.19e+00 0.9 1.00e+00 1.00e+00f 1\n", - " 182r 0.0000000e+00 3.02e-02 2.03e+01 0.2 4.44e-01 1.3 1.00e+00 1.00e+00f 1\n", - " 183r 0.0000000e+00 1.13e+00 2.95e+02 -0.5 1.29e+00 0.9 1.00e+00 8.07e-01f 1\n", - " 184r 0.0000000e+00 2.41e-01 2.12e+02 -0.5 3.75e-01 1.3 1.00e+00 6.23e-01f 1\n" + " 0 0.0000000e+00 1.07e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (2559298)\n", + " 1 0.0000000e+00 1.07e+02 2.56e+02 -1.0 1.07e+02 - 7.48e-01 2.98e-03h 1\n", + " 2 0.0000000e+00 1.07e+02 2.46e+06 -1.0 1.07e+02 - 2.89e-01 2.98e-05h 1\n", + " 3r 0.0000000e+00 1.07e+02 1.00e+03 2.0 0.00e+00 - 0.00e+00 1.49e-07R 2\n", + " 4r 0.0000000e+00 1.05e+02 5.31e+04 2.0 1.32e+02 - 1.44e-02 1.90e-02f 1\n", + " 5r 0.0000000e+00 1.11e+04 6.80e+05 2.0 1.31e+02 - 1.30e-01 5.58e-02f 1\n", + " 6r 0.0000000e+00 7.53e+03 3.13e+06 2.0 3.48e-01 6.0 2.59e-01 3.70e-01f 1\n", + " 7r 0.0000000e+00 7.46e+03 3.11e+06 2.0 4.18e-01 6.4 2.82e-01 9.47e-03h 1\n", + " 8r 0.0000000e+00 6.61e+03 2.73e+06 2.0 4.21e-01 5.9 1.00e+00 1.19e-01h 1\n", + " 9r 0.0000000e+00 3.72e+03 6.46e+06 2.0 5.39e-01 5.5 4.41e-01 5.40e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 3.23e+03 1.28e+07 2.0 4.58e-01 6.8 2.38e-02 1.39e-01h 1\n", + " 11r 0.0000000e+00 2.79e+03 1.20e+07 2.0 5.54e-01 6.3 2.58e-01 1.43e-01h 1\n", + " 12r 0.0000000e+00 2.77e+03 1.19e+07 2.0 4.06e-01 6.7 1.32e-01 7.21e-03h 1\n", + " 13r 0.0000000e+00 2.39e+03 1.08e+07 2.0 5.70e-01 6.3 1.53e-01 1.45e-01h 1\n", + " 14r 0.0000000e+00 2.35e+03 1.06e+07 2.0 4.08e-01 6.7 2.50e-01 1.56e-02h 1\n", + " 15r 0.0000000e+00 2.03e+03 9.53e+06 2.0 5.56e-01 6.2 3.85e-01 1.45e-01h 1\n", + " 16r 0.0000000e+00 1.92e+03 9.12e+06 2.0 4.01e-01 6.6 1.55e-01 5.79e-02h 1\n", + " 17r 0.0000000e+00 1.65e+03 8.29e+06 2.0 5.83e-01 6.2 1.39e-01 1.45e-01h 1\n", + " 18r 0.0000000e+00 1.64e+03 8.21e+06 2.0 3.83e-01 6.6 5.11e-03 1.09e-02h 1\n", + " 19r 0.0000000e+00 1.57e+03 8.01e+06 2.0 3.95e-01 7.0 1.33e-01 3.81e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 1.27e+03 1.06e+07 2.0 4.64e-01 6.5 7.94e-02 2.08e-01h 1\n", + " 21r 0.0000000e+00 1.25e+03 1.04e+07 2.0 5.91e-01 6.1 5.05e-01 1.79e-02h 1\n", + " 22r 0.0000000e+00 9.57e+02 2.50e+07 2.0 5.48e-01 6.5 4.33e-02 2.59e-01h 1\n", + " 23r 0.0000000e+00 9.35e+02 2.44e+07 2.0 5.78e-01 6.0 1.28e-01 2.33e-02h 1\n", + " 24r 0.0000000e+00 6.98e+02 2.75e+07 2.0 5.46e-01 6.4 5.50e-01 2.83e-01h 1\n", + " 25r 0.0000000e+00 6.86e+02 2.70e+07 2.0 6.04e-01 6.0 1.51e-02 1.68e-02h 1\n", + " 26r 0.0000000e+00 5.48e+02 2.42e+07 2.0 5.94e-01 6.4 4.59e-01 2.19e-01h 1\n", + " 27r 0.0000000e+00 5.01e+02 2.22e+07 2.0 6.94e-01 5.9 3.54e-03 8.84e-02f 1\n", + " 28r 0.0000000e+00 4.95e+02 2.19e+07 2.0 5.13e-01 6.3 4.39e-01 1.27e-02h 1\n", + " 29r 0.0000000e+00 3.63e+02 1.64e+07 2.0 5.26e-01 5.9 6.84e-02 3.00e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.60e+02 1.63e+07 2.0 6.22e-01 6.3 3.54e-01 6.22e-03h 1\n", + " 31r 0.0000000e+00 3.38e+02 1.54e+07 2.0 6.10e-01 6.7 1.00e+00 6.41e-02h 1\n", + " 32r 0.0000000e+00 2.56e+02 1.95e+07 2.0 7.28e-01 6.2 2.38e-01 2.67e-01h 1\n", + " 33r 0.0000000e+00 2.55e+02 1.94e+07 2.0 6.04e-01 6.7 8.33e-01 5.35e-03h 1\n", + " 34r 0.0000000e+00 9.96e+01 5.12e+07 2.0 7.35e-01 6.2 4.89e-01 1.00e+00f 1\n", + " 35r 0.0000000e+00 9.96e+01 4.44e+07 2.0 5.60e-01 6.6 2.48e-01 1.32e-01h 1\n", + " 36r 0.0000000e+00 9.96e+01 4.43e+07 2.0 6.89e-01 7.0 3.10e-01 1.64e-03h 1\n", + " 37r 0.0000000e+00 9.96e+01 4.20e+07 2.0 8.09e-01 6.6 6.61e-01 5.10e-02h 1\n", + " 38r 0.0000000e+00 9.96e+01 3.95e+07 2.0 8.13e-01 7.0 2.69e-01 6.07e-02h 1\n", + " 39r 0.0000000e+00 9.96e+01 3.52e+07 2.0 7.60e-01 6.5 6.54e-01 1.07e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 9.96e+01 3.45e+07 2.0 7.72e-01 6.9 3.88e-01 2.14e-02h 1\n", + " 41r 0.0000000e+00 9.96e+01 3.46e+07 2.0 9.15e-01 6.5 5.94e-01 1.27e-01h 1\n", + " 42r 0.0000000e+00 9.96e+01 7.95e+07 2.0 7.70e-01 6.9 6.48e-01 2.39e-01h 1\n", + " 43r 0.0000000e+00 9.96e+01 6.10e+07 2.0 9.01e-01 6.4 3.47e-01 2.66e-01h 1\n", + " 44r 0.0000000e+00 9.96e+01 6.04e+07 2.0 6.43e-01 6.8 1.00e+00 1.05e-02h 1\n", + " 45r 0.0000000e+00 9.96e+01 4.90e+07 2.0 7.30e-01 6.4 6.47e-01 2.05e-01f 1\n", + " 46r 0.0000000e+00 9.96e+01 4.77e+07 2.0 5.43e-01 6.8 4.77e-01 2.70e-02h 1\n", + " 47r 0.0000000e+00 9.96e+01 4.14e+07 2.0 6.11e-01 6.3 9.31e-01 1.38e-01h 1\n", + " 48r 0.0000000e+00 9.96e+01 4.04e+07 2.0 8.40e-01 6.7 2.50e-01 2.36e-02h 1\n", + " 49r 0.0000000e+00 9.96e+01 3.82e+07 2.0 7.90e-01 6.3 5.47e-01 2.24e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 9.96e+01 3.78e+07 2.0 7.15e-01 6.7 6.09e-01 1.44e-02h 1\n", + " 51r 0.0000000e+00 9.96e+01 3.64e+07 2.0 9.39e-01 6.2 4.08e-01 2.16e-01f 1\n", + " 52r 0.0000000e+00 9.96e+01 3.93e+07 2.0 7.75e-01 6.6 4.79e-01 1.57e-01h 1\n", + " 53r 0.0000000e+00 9.96e+01 3.87e+07 2.0 8.51e-01 6.2 2.57e-01 1.39e-02h 1\n", + " 54r 0.0000000e+00 9.96e+01 9.05e+07 2.0 8.06e-01 6.6 1.00e+00 2.54e-01h 1\n", + " 55r 0.0000000e+00 9.96e+01 8.95e+07 2.0 9.82e-01 6.1 2.80e-01 1.16e-02h 1\n", + " 56r 0.0000000e+00 9.96e+01 3.74e+07 2.0 1.14e+00 5.6 2.22e-01 5.80e-01f 1\n", + " 57r 0.0000000e+00 9.96e+01 1.13e+07 2.0 5.26e-01 6.1 9.75e-01 1.00e+00f 1\n", + " 58r 0.0000000e+00 9.96e+01 2.05e+06 2.0 3.26e-02 6.5 9.24e-01 1.00e+00f 1\n", + " 59r 0.0000000e+00 9.96e+01 6.88e+04 2.0 3.28e-02 6.0 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 9.95e+01 1.03e+04 2.0 2.47e-02 5.5 1.00e+00 1.00e+00f 1\n", + " 61r 0.0000000e+00 9.95e+01 2.75e+03 2.0 1.82e-02 5.0 1.00e+00 1.00e+00f 1\n", + " 62r 0.0000000e+00 9.95e+01 5.78e+03 1.3 7.12e-03 5.5 1.00e+00 1.00e+00f 1\n", + " 63r 0.0000000e+00 9.95e+01 1.01e+03 1.3 1.03e-02 5.0 1.00e+00 1.00e+00f 1\n", + " 64r 0.0000000e+00 9.95e+01 1.03e+03 1.3 3.13e-02 4.5 1.00e+00 1.00e+00f 1\n", + " 65r 0.0000000e+00 9.95e+01 1.23e+03 1.3 9.86e-02 4.0 1.00e+00 1.00e+00f 1\n", + " 66r 0.0000000e+00 9.95e+01 3.55e+04 1.3 9.72e-01 3.6 1.16e-01 1.02e-01f 1\n", + " 67r 0.0000000e+00 9.95e+01 2.03e+04 1.3 2.88e-02 5.8 1.00e+00 9.87e-01f 1\n", + " 68r 0.0000000e+00 9.95e+01 1.12e+04 1.3 7.39e-02 5.3 5.53e-01 6.79e-01f 1\n", + " 69r 0.0000000e+00 9.95e+01 5.72e+03 1.3 2.02e-02 4.8 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 9.95e+01 1.11e+03 1.3 4.79e-02 4.4 1.00e+00 1.00e+00f 1\n", + " 71r 0.0000000e+00 9.94e+01 7.65e+04 1.3 2.59e-01 3.9 9.62e-01 7.29e-01f 1\n", + " 72r 0.0000000e+00 9.94e+01 4.60e+04 1.3 6.69e-02 5.2 1.00e+00 5.85e-01f 1\n", + " 73r 0.0000000e+00 9.94e+01 3.73e+04 1.3 6.41e-02 4.7 7.50e-01 1.00e+00f 1\n", + " 74r 0.0000000e+00 9.94e+01 7.15e+05 1.3 8.95e-02 5.2 1.00e+00 8.77e-01f 1\n", + " 75r 0.0000000e+00 9.94e+01 2.37e+05 1.3 1.34e-01 4.7 1.00e+00 1.00e+00f 1\n", + " 76r 0.0000000e+00 9.94e+01 1.60e+04 1.3 7.22e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 77r 0.0000000e+00 9.94e+01 7.65e+03 1.3 2.30e-02 5.5 1.00e+00 1.00e+00f 1\n", + " 78r 0.0000000e+00 9.94e+01 4.48e+03 1.3 1.13e-02 5.1 1.00e+00 1.00e+00f 1\n", + " 79r 0.0000000e+00 9.93e+01 2.48e+03 1.3 2.60e-02 4.6 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 9.93e+01 1.09e+03 1.3 7.52e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 81r 0.0000000e+00 9.92e+01 9.56e+02 1.3 2.25e-01 3.6 1.00e+00 7.59e-01f 1\n", + " 82r 0.0000000e+00 9.91e+01 1.74e+03 0.6 6.59e-01 3.2 8.10e-01 3.03e-01f 1\n", + " 83r 0.0000000e+00 9.89e+01 1.72e+03 0.6 1.55e+00 2.7 7.66e-01 2.06e-01f 1\n", + " 84r 0.0000000e+00 9.88e+01 1.22e+03 0.6 3.93e-01 3.1 1.00e+00 3.13e-01f 1\n", + " 85r 0.0000000e+00 9.85e+01 9.40e+02 0.6 1.17e+00 2.6 1.00e+00 2.40e-01f 1\n", + " 86r 0.0000000e+00 9.71e+01 2.03e+03 0.6 3.49e+00 2.1 7.07e-01 4.14e-01f 1\n", + " 87r 0.0000000e+00 9.58e+01 4.91e+02 0.6 1.31e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 88r 0.0000000e+00 9.19e+01 4.87e+02 0.6 3.90e+00 2.1 1.00e+00 1.00e+00f 1\n", + " 89r 0.0000000e+00 8.04e+01 4.75e+02 0.6 1.14e+01 1.6 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 4.86e+01 4.43e+02 0.6 3.19e+01 1.1 1.00e+00 1.00e+00f 1\n", + " 91r 0.0000000e+00 2.29e+00 3.95e+02 0.6 7.85e+01 0.7 1.00e+00 6.02e-01f 1\n", + " 92r 0.0000000e+00 2.28e+00 4.36e+02 0.6 1.49e+02 0.2 4.69e-01 3.35e-03f 1\n", + " 93r 0.0000000e+00 2.22e+00 5.56e+02 0.6 3.65e+01 0.6 1.00e+00 2.70e-02f 1\n", + " 94r 0.0000000e+00 6.26e+03 7.64e+05 0.6 1.00e+01 0.1 2.35e-01 6.84e-01f 1\n", + " 95r 0.0000000e+00 4.46e+03 5.44e+05 0.6 2.18e-01 4.2 3.60e-01 3.23e-01h 1\n", + " 96r 0.0000000e+00 3.80e+03 4.63e+05 0.6 3.89e-01 3.7 3.15e-01 1.58e-01h 1\n", + " 97r 0.0000000e+00 3.05e+03 3.72e+05 0.6 1.75e+00 3.2 6.80e-02 1.95e-01h 1\n", + " 98r 0.0000000e+00 1.01e+03 1.22e+05 0.6 3.56e-01 3.6 5.70e-01 9.71e-01h 1\n", + " 99r 0.0000000e+00 9.12e+02 1.11e+05 0.6 1.55e+00 4.1 8.82e-02 9.82e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 8.94e+02 1.08e+05 0.6 1.73e+00 3.6 1.43e-01 1.99e-02f 1\n", + " 101r 0.0000000e+00 8.87e+02 1.08e+05 0.6 6.91e+01 3.1 1.11e-02 8.03e-03f 1\n", + " 102r 0.0000000e+00 6.99e+02 8.47e+04 0.6 1.46e+00 3.5 1.27e-01 2.32e-01h 1\n", + " 103r 0.0000000e+00 4.89e+02 5.92e+04 0.6 7.82e-01 3.1 6.31e-01 3.44e-01f 1\n", + " 104r 0.0000000e+00 3.78e+02 4.58e+04 0.6 8.55e-01 2.6 1.41e-02 2.50e-01h 1\n", + " 105r 0.0000000e+00 2.97e+02 3.66e+04 0.6 7.16e-01 3.9 2.37e-01 2.37e-01f 1\n", + " 106r 0.0000000e+00 2.55e+02 4.66e+04 0.6 1.13e+00 3.4 2.18e-01 1.47e-01f 1\n", + " 107r 0.0000000e+00 2.07e+02 1.35e+05 0.6 9.04e-01 3.9 5.76e-02 2.03e-01h 1\n", + " 108r 0.0000000e+00 1.65e+02 1.18e+05 0.6 1.20e+00 3.4 2.35e-01 2.26e-01h 1\n", + " 109r 0.0000000e+00 1.39e+02 1.00e+05 0.6 1.25e+00 2.9 9.52e-01 1.68e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 1.33e+02 9.64e+04 0.6 1.19e+00 2.4 1.00e+00 4.06e-02f 1\n", + " 111r 0.0000000e+00 6.86e+01 3.96e+04 0.6 1.09e+00 2.0 1.00e+00 6.27e-01f 1\n", + " 112r 0.0000000e+00 2.35e+01 7.02e+04 0.6 4.71e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 113r 0.0000000e+00 1.76e+01 6.79e+04 0.6 1.25e+00 2.8 1.00e+00 2.82e-01f 1\n", + " 114r 0.0000000e+00 1.28e+01 2.56e+05 0.6 3.52e+00 3.2 3.97e-02 3.08e-01h 1\n", + " 115r 0.0000000e+00 5.55e+00 1.17e+05 0.6 2.40e+00 2.8 1.00e+00 6.44e-01h 1\n", + " 116r 0.0000000e+00 4.06e+00 1.37e+05 0.6 1.25e+00 3.2 1.00e+00 1.00e+00h 1\n", + " 117r 0.0000000e+00 3.47e+00 7.07e+04 0.6 2.13e+00 2.7 7.64e-01 1.52e-01f 1\n", + " 118r 0.0000000e+00 4.05e+00 6.27e+04 0.6 6.40e-01 2.2 1.50e-01 1.15e-01F 1\n", + " 119r 0.0000000e+00 3.03e+00 4.59e+04 0.6 1.29e-01 2.7 1.00e+00 2.72e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 4.44e-01 8.49e+02 0.6 9.66e-02 3.1 1.00e+00 1.00e+00f 1\n", + " 121r 0.0000000e+00 1.61e+01 4.17e+03 0.6 1.01e+00 2.6 4.47e-01 2.33e-01f 1\n", + " 122r 0.0000000e+00 5.72e+00 2.47e+03 0.6 5.49e-02 3.0 4.57e-01 1.00e+00f 1\n", + " 123r 0.0000000e+00 2.65e+00 1.11e+03 0.6 1.76e-01 2.6 1.00e+00 1.00e+00f 1\n", + " 124r 0.0000000e+00 5.08e+00 3.23e+03 0.6 8.44e-02 3.0 1.00e+00 1.00e+00f 1\n", + " 125r 0.0000000e+00 4.50e+00 1.60e+03 0.6 2.59e-01 2.5 1.00e+00 7.42e-01f 1\n", + " 126r 0.0000000e+00 3.95e+00 1.26e+03 0.6 3.68e-01 2.9 6.00e-01 2.32e-01f 1\n", + " 127r 0.0000000e+00 3.41e+01 1.07e+04 0.6 5.22e-01 2.5 1.00e+00 7.63e-01f 1\n", + " 128r 0.0000000e+00 1.77e+01 5.73e+03 0.6 1.76e-01 2.9 9.42e-01 6.35e-01f 1\n", + " 129r 0.0000000e+00 1.51e+01 4.92e+03 0.6 8.64e+01 - 3.79e-01 1.53e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 0.0000000e+00 5.58e+00 1.05e+03 0.6 1.16e-01 2.4 9.68e-01 1.00e+00f 1\n", + " 131r 0.0000000e+00 4.40e+00 7.82e+02 0.6 7.51e+01 - 6.22e-01 2.48e-01f 1\n", + " 132r 0.0000000e+00 1.96e+00 2.29e+03 0.6 2.51e-01 1.9 7.73e-01 1.00e+00f 1\n", + " 133r 0.0000000e+00 9.58e+00 1.76e+03 0.6 5.73e+01 - 5.70e-01 2.67e-01f 1\n", + " 134r 0.0000000e+00 3.08e+00 3.60e+02 0.6 7.20e-01 1.4 8.37e-01 1.00e+00f 1\n", + " 135r 0.0000000e+00 2.96e+00 6.18e+02 0.6 4.18e+01 - 3.26e-01 3.78e-02f 1\n", + " 136r 0.0000000e+00 1.81e+00 1.39e+02 0.6 6.68e-01 1.0 8.66e-01 1.00e+00f 1\n", + " 137r 0.0000000e+00 1.58e+00 1.11e+03 -0.1 3.91e+01 - 7.98e-01 2.67e-01f 1\n", + " 138r 0.0000000e+00 1.30e+00 9.74e+02 -0.1 1.50e+00 0.5 5.53e-01 6.92e-01f 1\n", + " 139r 0.0000000e+00 1.81e+00 1.55e+03 -0.1 2.01e+00 0.0 3.22e-01 5.08e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 0.0000000e+00 1.55e+00 4.94e+03 -0.1 1.03e+00 1.3 1.00e+00 1.00e+00f 1\n", + " 141r 0.0000000e+00 3.95e-01 1.81e+03 -0.1 6.11e-01 0.9 3.09e-01 1.00e+00f 1\n", + " 142r 0.0000000e+00 1.66e+00 1.25e+03 -0.1 1.17e+01 - 1.31e-01 2.80e-01f 1\n", + " 143r 0.0000000e+00 2.52e+00 1.96e+03 -0.1 1.48e+00 0.4 5.25e-01 9.90e-01f 1\n", + " 144r 0.0000000e+00 1.18e+00 8.11e+02 -0.1 8.19e+00 - 5.48e-01 8.78e-01f 1\n", + " 145r 0.0000000e+00 1.82e+00 3.02e+02 -0.1 1.00e+00 - 1.00e+00 1.00e+00f 1\n", + " 146r 0.0000000e+00 4.63e-01 1.19e+02 -0.1 6.59e-01 - 1.00e+00 1.00e+00f 1\n", + " 147r 0.0000000e+00 1.09e-01 1.05e+01 -0.1 2.87e-01 - 1.00e+00 1.00e+00h 1\n", + " 148r 0.0000000e+00 1.49e+00 3.44e+02 -0.8 2.07e+00 - 1.00e+00 4.44e-01f 1\n", + " 149r 0.0000000e+00 4.32e-01 2.01e+02 -0.8 1.37e+00 -0.1 5.85e-01 5.94e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r 0.0000000e+00 5.47e-01 2.29e+02 -0.8 3.64e+01 - 1.00e+00 6.49e-01f 1\n", + " 151r 0.0000000e+00 3.04e-01 2.65e+02 -0.8 1.27e+01 - 1.00e+00 1.00e+00f 1\n", + " 152r 0.0000000e+00 6.94e-02 2.38e+02 -0.8 9.61e-02 - 1.00e+00 9.55e-01f 1\n", + " 153r 0.0000000e+00 6.94e-02 1.28e+02 -0.8 2.17e-02 - 1.00e+00 1.00e+00f 1\n", + " 154r 0.0000000e+00 6.93e-02 1.46e+02 -0.8 1.63e-02 - 1.00e+00 1.00e+00h 1\n", + " 155r 0.0000000e+00 6.93e-02 3.02e+01 -0.8 4.42e-03 - 1.00e+00 1.00e+00f 1\n", + " 156r 0.0000000e+00 6.93e-02 4.81e+02 -0.8 4.86e-02 - 8.56e-01 1.42e-01f 3\n", + " 157r 0.0000000e+00 6.93e-02 1.65e+02 -0.8 1.71e-02 - 1.00e+00 2.50e-01f 3\n", + " 158r 0.0000000e+00 6.93e-02 4.50e+01 -0.8 8.72e-03 - 1.00e+00 1.00e+00F 1\n", + " 159r 0.0000000e+00 6.93e-02 2.08e+00 -0.8 3.12e-03 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r 0.0000000e+00 4.97e-01 3.28e+02 -1.5 1.12e+00 - 1.00e+00 3.07e-01f 1\n", + " 161r 0.0000000e+00 7.19e-01 1.03e+02 -1.5 8.31e+01 - 1.00e+00 6.64e-01f 1\n", + " 162r 0.0000000e+00 5.69e-01 1.51e+02 -1.5 2.71e+01 - 1.00e+00 3.64e-01f 1\n", + " 163r 0.0000000e+00 5.99e-01 6.46e+01 -1.5 2.88e+00 - 1.00e+00 1.00e+00f 1\n", + " 164r 0.0000000e+00 3.18e-01 6.52e+01 -1.5 2.40e+00 - 1.00e+00 8.37e-01f 1\n", + " 165r 0.0000000e+00 1.31e-01 4.93e+01 -1.5 6.83e-01 - 1.00e+00 1.00e+00f 1\n", + " 166r 0.0000000e+00 7.75e-02 2.66e+02 -1.5 1.05e-01 - 1.00e+00 4.89e-01f 1\n", + " 167r 0.0000000e+00 5.72e-02 3.60e+02 -1.5 1.85e-01 - 6.54e-01 2.85e-01f 1\n", + " 168r 0.0000000e+00 3.86e-02 4.63e+02 -1.5 1.36e-01 - 1.00e+00 3.61e-01f 1\n", + " 169r 0.0000000e+00 8.04e-03 1.62e+01 -1.5 4.26e-02 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r 0.0000000e+00 3.78e-03 2.39e+00 -1.5 1.58e-02 - 1.00e+00 1.00e+00f 1\n", + " 171r 0.0000000e+00 3.77e-03 1.57e-02 -1.5 1.03e-03 - 1.00e+00 1.00e+00h 1\n", + " 172r 0.0000000e+00 1.32e-01 4.37e+02 -3.3 1.12e+00 - 5.01e-01 1.75e-01f 1\n", + " 173r 0.0000000e+00 1.43e-01 5.82e+02 -3.3 1.74e+00 - 4.62e-01 1.29e-01f 1\n", + " 174r 0.0000000e+00 1.87e-01 4.00e+02 -3.3 5.42e-01 - 3.93e-01 3.11e-01f 1\n", + " 175r 0.0000000e+00 1.76e-01 3.66e+02 -3.3 4.21e-01 - 9.40e-02 8.64e-02f 1\n", + " 176r 0.0000000e+00 1.67e-01 3.42e+02 -3.3 3.93e-01 - 7.94e-02 6.55e-02f 1\n", + " 177r 0.0000000e+00 1.53e-01 2.93e+02 -3.3 3.62e-01 - 1.13e-01 1.42e-01f 1\n", + " 178r 0.0000000e+00 1.50e-01 5.78e+02 -3.3 8.26e-01 0.3 7.67e-02 1.60e-02f 1\n", + " 179r 0.0000000e+00 1.35e-01 4.82e+02 -3.3 3.20e-01 - 1.77e-01 1.65e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r 0.0000000e+00 1.35e-01 4.83e+02 -3.3 2.81e+01 - 1.15e-03 4.29e-04f 1\n", + " 181r 0.0000000e+00 1.00e-01 3.52e+02 -3.3 8.47e-02 0.8 4.13e-01 2.69e-01f 1\n", + " 182r 0.0000000e+00 9.71e-02 3.95e+02 -3.3 8.69e-01 0.3 8.83e-02 3.23e-02f 1\n", + " 183r 0.0000000e+00 9.24e-02 5.08e+02 -3.3 6.87e-01 - 2.32e-02 1.05e-01f 1\n", + " 184r 0.0000000e+00 9.02e-02 5.34e+02 -3.3 3.71e-01 - 9.26e-02 2.59e-02f 1\n", + " 185r 0.0000000e+00 8.31e-02 4.89e+02 -3.3 2.40e-01 0.7 7.52e-02 8.28e-02f 1\n", + " 186r 0.0000000e+00 8.20e-02 4.82e+02 -3.3 6.99e-01 0.2 1.65e-02 1.39e-02f 1\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 185r 0.0000000e+00 7.40e-01 1.46e+02 -0.5 4.71e-01 0.8 1.00e+00 1.00e+00f 1\n", - " 186r 0.0000000e+00 2.59e-01 1.13e+02 -0.5 2.80e-01 1.2 1.00e+00 1.00e+00f 1\n", - " 187r 0.0000000e+00 7.73e-01 2.83e+02 -0.5 5.24e-01 0.8 1.00e+00 7.77e-01f 1\n", - " 188r 0.0000000e+00 1.85e-01 1.04e+02 -0.5 1.96e-01 1.2 1.00e+00 1.00e+00f 1\n", - " 189r 0.0000000e+00 5.36e-01 1.89e+02 -0.5 5.83e-01 0.7 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190r 0.0000000e+00 1.68e+00 3.59e+02 -0.5 6.46e+01 - 2.64e-01 1.85e-01f 1\n", - " 191r 0.0000000e+00 1.39e+00 1.15e+03 -0.5 2.84e+00 0.2 5.36e-01 1.42e-01f 1\n", - " 192r 0.0000000e+00 1.45e+00 7.40e+02 -0.5 3.97e+00 -0.2 1.00e+00 4.56e-01f 1\n", - " 193r 0.0000000e+00 1.27e+00 6.15e+02 -0.5 5.27e+01 - 5.93e-01 1.27e-01f 1\n", - " 194r 0.0000000e+00 1.02e+00 1.96e+02 -0.5 4.67e+01 - 1.00e+00 1.00e+00f 1\n", - " 195r 0.0000000e+00 3.33e-01 7.12e+01 -0.5 3.95e-01 - 1.00e+00 1.00e+00f 1\n", - " 196r 0.0000000e+00 8.96e-02 6.74e+00 -0.5 1.16e-01 - 1.00e+00 1.00e+00h 1\n", - " 197r 0.0000000e+00 1.49e+00 4.94e+02 -1.2 2.49e+00 - 9.03e-01 3.63e-01f 1\n", - " 198r 0.0000000e+00 2.09e+00 2.60e+02 -1.2 5.87e+01 - 8.01e-01 5.47e-01f 1\n", - " 199r 0.0000000e+00 1.44e+01 6.65e+02 -1.2 2.66e+01 - 3.36e-01 5.82e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200r 0.0000000e+00 1.74e+00 5.15e+02 -1.2 1.11e+01 - 6.01e-01 1.00e+00f 1\n", - " 201r 0.0000000e+00 1.72e+00 5.05e+02 -1.2 2.73e+00 - 2.02e-01 1.14e-02h 1\n", - " 202r 0.0000000e+00 9.50e-01 8.22e+02 -1.2 9.78e-01 - 1.00e+00 3.40e-01f 1\n", - " 203r 0.0000000e+00 3.42e-01 1.01e+02 -1.2 4.14e-01 - 1.00e+00 1.00e+00f 1\n", - " 204r 0.0000000e+00 2.75e-02 1.02e+02 -1.2 1.36e-01 - 1.00e+00 1.00e+00h 1\n", - " 205r 0.0000000e+00 2.76e-02 5.30e+01 -1.2 2.50e-02 - 1.00e+00 1.00e+00f 1\n", - " 206r 0.0000000e+00 2.76e-02 2.79e+02 -1.2 1.12e-01 - 2.92e-01 9.90e-02h 2\n", - " 207r 0.0000000e+00 2.76e-02 1.89e+00 -1.2 3.03e-03 - 1.00e+00 1.00e+00f 1\n", - " 208r 0.0000000e+00 1.39e+00 2.57e+02 -1.9 1.90e+00 - 9.65e-01 4.84e-01f 1\n", - " 209r 0.0000000e+00 1.17e+00 3.31e+02 -1.9 1.31e+02 - 1.00e+00 1.96e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 210r 0.0000000e+00 1.16e+00 3.99e+02 -1.9 2.27e+01 - 1.00e+00 1.13e-02f 1\n", - " 211r 0.0000000e+00 7.38e-01 1.01e+02 -1.9 7.48e-01 - 1.00e+00 7.70e-01f 1\n", - " 212r 0.0000000e+00 3.34e-01 8.20e+01 -1.9 3.45e-01 - 1.00e+00 6.38e-01f 1\n", - " 213r 0.0000000e+00 6.33e-02 6.32e+01 -1.9 2.06e-01 - 1.00e+00 1.00e+00f 1\n", - " 214r 0.0000000e+00 1.76e-02 5.32e+01 -1.9 6.13e-02 - 1.00e+00 7.59e-01h 1\n", - " 215r 0.0000000e+00 1.56e-03 1.14e+01 -1.9 2.34e-02 - 1.00e+00 1.00e+00h 1\n", - " 216r 0.0000000e+00 1.56e-03 1.44e+00 -1.9 4.24e-03 - 1.00e+00 1.00e+00h 1\n", - " 217r 0.0000000e+00 1.56e-03 1.03e-01 -1.9 2.26e-04 - 1.00e+00 1.00e+00h 1\n", - " 218r 0.0000000e+00 4.89e-02 2.22e+02 -2.8 7.47e-01 - 1.00e+00 2.39e-01f 1\n", - " 219r 0.0000000e+00 1.13e-01 2.00e+02 -2.8 4.73e-01 - 1.00e+00 5.18e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 220r 0.0000000e+00 7.29e-02 2.37e+02 -2.8 2.22e-01 - 9.69e-01 5.40e-01f 1\n", - " 221r 0.0000000e+00 4.85e-02 1.41e+02 -2.8 1.62e-01 - 1.00e+00 4.23e-01f 1\n", - " 222r 0.0000000e+00 2.95e-02 1.67e+02 -2.8 1.38e-01 - 8.83e-01 5.36e-01f 1\n", - " 223r 0.0000000e+00 2.38e-02 1.21e+02 -2.8 1.17e-01 - 2.90e-01 2.23e-01f 1\n", - " 224r 0.0000000e+00 1.54e-02 1.33e+02 -2.8 1.08e-01 - 1.00e+00 5.07e-01f 1\n", - " 225r 0.0000000e+00 1.00e-02 1.05e+02 -2.8 8.79e-02 - 2.93e-01 4.94e-01f 1\n", - " 226r 0.0000000e+00 7.69e-03 7.46e+01 -2.8 7.69e-02 - 2.91e-01 2.89e-01f 1\n", - " 227r 0.0000000e+00 5.56e-03 3.35e+02 -2.8 6.91e-02 - 1.00e+00 3.79e-01f 1\n", - " 228r 0.0000000e+00 3.85e-03 1.81e+02 -2.8 5.88e-02 - 5.50e-01 4.54e-01f 1\n", - " 229r 0.0000000e+00 2.72e-03 1.29e+02 -2.8 4.89e-02 - 5.60e-01 4.00e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 230r 0.0000000e+00 1.90e-03 6.77e+01 -2.8 4.38e-02 - 4.03e-01 4.78e-01f 1\n", - " 231r 0.0000000e+00 1.36e-03 6.81e+01 -2.8 3.45e-02 - 5.01e-01 3.80e-01f 1\n", - " 232r 0.0000000e+00 1.05e-03 1.43e+02 -2.8 2.86e-02 - 6.33e-01 2.75e-01f 1\n", - " 233r 0.0000000e+00 6.80e-04 1.03e+02 -2.8 2.20e-02 - 6.15e-01 4.43e-01f 1\n", - " 234r 0.0000000e+00 4.42e-04 1.40e+02 -2.8 1.14e-02 - 7.50e-01 3.79e-01f 1\n", - " 235r 0.0000000e+00 9.01e-06 1.35e+01 -2.8 2.75e-03 - 9.01e-01 1.00e+00f 1\n", - " 236r 0.0000000e+00 5.17e-06 2.13e+00 -2.8 8.38e-04 - 1.00e+00 1.00e+00h 1\n", - " 237r 0.0000000e+00 4.87e-06 8.27e-03 -2.8 4.89e-05 - 1.00e+00 1.00e+00h 1\n", - " 238r 0.0000000e+00 3.55e-04 3.45e+02 -4.2 4.95e-02 - 1.00e+00 3.48e-01f 1\n", - " 239r 0.0000000e+00 1.93e-04 6.65e+01 -4.2 1.18e-02 - 1.00e+00 8.68e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 240r 0.0000000e+00 7.80e-06 1.90e-01 -4.2 2.34e-03 - 1.00e+00 1.00e+00f 1\n", - " 241r 0.0000000e+00 4.93e-09 2.30e-05 -4.2 2.90e-06 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 241\n", + " 187r 0.0000000e+00 7.99e-02 4.70e+02 -3.3 4.22e-01 - 5.28e-02 2.94e-02f 1\n", + " 188r 0.0000000e+00 7.73e-02 4.39e+02 -3.3 4.48e-01 - 2.64e-02 4.39e-02f 1\n", + " 189r 0.0000000e+00 7.54e-02 4.34e+02 -3.3 3.48e-01 - 5.27e-02 2.75e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r 0.0000000e+00 7.37e-02 4.20e+02 -3.3 7.89e-01 -0.2 1.70e-02 2.46e-02f 1\n", + " 191r 0.0000000e+00 4.66e-02 2.57e+02 -3.3 6.14e-02 1.1 7.38e-02 3.81e-01f 1\n", + " 192r 0.0000000e+00 4.59e-02 4.94e+02 -3.3 7.92e-01 - 5.78e-05 1.72e-02f 1\n", + " 193r 0.0000000e+00 3.72e-02 4.04e+02 -3.3 1.59e-01 0.6 2.12e-01 2.27e-01f 1\n", + " 194r 0.0000000e+00 3.69e-02 3.99e+02 -3.3 3.99e+00 0.1 1.22e-02 1.11e-02f 1\n", + " 195r 0.0000000e+00 3.62e-02 3.90e+02 -3.3 8.29e-01 - 1.07e-02 2.30e-02f 1\n", + " 196r 0.0000000e+00 3.59e-02 3.86e+02 -3.3 6.96e-01 0.6 2.66e-02 1.03e-02f 1\n", + " 197r 0.0000000e+00 2.95e-02 5.59e+02 -3.3 8.88e-02 1.0 2.63e-02 1.94e-01f 1\n", + " 198r 0.0000000e+00 2.91e-02 5.55e+02 -3.3 8.20e-01 0.5 3.41e-02 1.55e-02f 1\n", + " 199r 0.0000000e+00 2.88e-02 5.58e+02 -3.3 4.65e-01 - 2.89e-02 1.42e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200r 0.0000000e+00 2.82e-02 4.55e+02 -3.3 4.48e-01 - 3.02e-02 4.12e-02f 1\n", + " 201r 0.0000000e+00 2.76e-02 4.55e+02 -3.3 3.68e-01 - 2.96e-02 2.78e-02f 1\n", + " 202r 0.0000000e+00 2.73e-02 4.14e+02 -3.3 5.96e-01 - 1.30e-02 1.67e-02f 1\n", + " 203r 0.0000000e+00 2.71e-02 4.41e+02 -3.3 7.32e-01 - 1.35e-02 7.37e-03f 1\n", + " 204r 0.0000000e+00 2.69e-02 4.30e+02 -3.3 9.16e-01 0.0 8.43e-03 7.47e-03f 1\n", + " 205r 0.0000000e+00 2.68e-02 6.15e+02 -3.3 1.70e+00 0.5 5.18e-03 1.54e-02f 1\n", + " 206r 0.0000000e+00 2.68e-02 6.16e+02 -3.3 2.92e+00 -0.0 7.31e-03 1.43e-03f 1\n", + " 207r 0.0000000e+00 2.65e-02 5.89e+02 -3.3 5.33e-01 0.4 4.18e-02 4.46e-02f 1\n", + " 208r 0.0000000e+00 2.63e-02 5.82e+02 -3.3 8.62e-01 -0.1 1.24e-02 1.12e-02f 1\n", + " 209r 0.0000000e+00 2.64e-02 5.82e+02 -3.3 1.82e+01 - 5.49e-04 4.91e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 210r 0.0000000e+00 2.63e-02 5.79e+02 -3.3 1.99e+00 - 1.81e-03 5.31e-03f 1\n", + " 211r 0.0000000e+00 2.50e-02 6.24e+02 -3.3 4.21e-01 0.4 3.08e-02 7.36e-02f 1\n", + " 212r 0.0000000e+00 2.48e-02 5.75e+02 -3.3 3.56e-01 - 3.09e-02 1.00e-02f 1\n", + " 213r 0.0000000e+00 2.47e-02 5.65e+02 -3.3 1.40e+00 - 5.90e-03 2.31e-02f 1\n", + " 214r 0.0000000e+00 2.49e-02 8.87e+02 -3.3 1.02e+00 -0.1 1.75e-02 3.89e-02f 1\n", + " 215r 0.0000000e+00 2.49e-02 8.85e+02 -3.3 1.78e+00 - 2.25e-02 2.50e-03f 1\n", + " 216r 0.0000000e+00 2.47e-02 9.65e+02 -3.3 3.82e-01 - 2.69e-01 4.46e-02f 1\n", + " 217r 0.0000000e+00 2.36e-02 8.58e+02 -3.3 1.13e-01 - 2.89e-01 4.47e-02f 1\n", + " 218r 0.0000000e+00 1.99e-02 8.46e+02 -3.3 9.19e-02 - 1.49e-01 2.03e-01f 1\n", + " 219r 0.0000000e+00 1.72e-02 7.30e+02 -3.3 5.44e-02 - 4.64e-01 1.48e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 220r 0.0000000e+00 1.60e-02 1.43e+03 -3.3 5.62e-02 - 2.20e-02 7.14e-02f 1\n", + " 221r 0.0000000e+00 1.21e-02 1.24e+03 -3.3 3.35e-02 - 6.43e-01 2.61e-01f 1\n", + " 222r 0.0000000e+00 1.12e-02 2.24e+03 -3.3 3.11e-02 - 2.17e-02 7.83e-02f 1\n", + " 223r 0.0000000e+00 9.68e-03 2.00e+03 -3.3 1.96e-02 - 3.32e-01 1.34e-01f 1\n", + " 224r 0.0000000e+00 9.08e-03 1.90e+03 -3.3 2.15e-02 - 2.23e-02 6.29e-02f 1\n", + " 225r 0.0000000e+00 8.48e-03 1.78e+03 -3.3 1.74e-02 - 3.14e-02 6.62e-02f 1\n", + " 226r 0.0000000e+00 7.64e-03 1.62e+03 -3.3 1.47e-02 - 5.61e-02 9.99e-02f 1\n", + " 227r 0.0000000e+00 5.68e-03 1.21e+03 -3.3 1.25e-02 - 1.47e-01 2.61e-01f 1\n", + " 228r 0.0000000e+00 5.50e-03 1.17e+03 -3.3 9.16e-03 - 1.55e-01 3.32e-02f 1\n", + " 229r 0.0000000e+00 3.81e-03 7.98e+02 -3.3 8.55e-03 - 4.57e-01 3.10e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 230r 0.0000000e+00 2.77e-03 2.58e+03 -3.3 6.21e-03 - 6.14e-02 2.77e-01f 1\n", + " 231r 0.0000000e+00 2.23e-03 2.06e+03 -3.3 4.32e-03 - 8.17e-02 1.96e-01f 1\n", + " 232r 0.0000000e+00 1.38e-03 1.26e+03 -3.3 3.31e-03 - 1.58e-01 3.81e-01f 1\n", + " 233r 0.0000000e+00 7.21e-04 7.22e+02 -3.3 2.00e-03 - 2.60e-01 4.81e-01f 1\n", + " 234r 0.0000000e+00 3.45e-06 1.51e+03 -3.3 1.02e-03 - 3.12e-01 1.00e+00f 1\n", + " 235r 0.0000000e+00 8.68e-07 1.81e-02 -3.3 1.68e-05 - 1.00e+00 1.00e+00h 1\n", + " 236r 0.0000000e+00 1.11e-06 3.58e+01 -4.9 7.48e-04 - 1.00e+00 8.08e-01f 1\n", + " 237r 0.0000000e+00 2.87e-07 6.92e+01 -4.9 9.28e-05 - 9.41e-01 7.53e-01f 1\n", + " 238r 0.0000000e+00 1.83e-08 3.67e-04 -4.9 5.38e-05 - 1.00e+00 1.00e+00f 1\n", + " 239r 0.0000000e+00 5.78e-09 1.01e+02 -7.4 4.69e-07 - 9.46e-01 6.47e-01f 1\n", + "\n", + "Number of Iterations....: 239\n", "\n", " (scaled) (unscaled)\n", "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 4.9257740747017957e-09 4.9257740747017957e-09\n", + "Constraint violation....: 5.7817187916314847e-09 5.7817187916314847e-09\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 4.9257740747017957e-09 4.9257740747017957e-09\n", + "Overall NLP error.......: 5.7817187916314847e-09 5.7817187916314847e-09\n", "\n", "\n", - "Number of objective function evaluations = 248\n", + "Number of objective function evaluations = 253\n", "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 248\n", + "Number of equality constraint evaluations = 253\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 243\n", + "Number of equality constraint Jacobian evaluations = 241\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 241\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 24.289\n", - "Total CPU secs in NLP function evaluations = 11.838\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Output this time: [0.000199428298248, 4.1322379106577695e-05, 4.186958851689143e-05, 4.238916264783791e-05, 4.2849041332356573e-05, 4.3251103098538356e-05, 4.3610598792086286e-05, 4.3928344050165775e-05, 4.422391708927879e-05, 4.4499804728249466e-05, 4.4784705324152874e-05, 4.509188047215989e-05, 4.547376191381738e-05, 4.597633977568521e-05, 4.671045957814433e-05, 4.781819366105177e-05, 4.9535674418809264e-05, 5.229484272408643e-05, 5.655458448365675e-05, 6.358823253141992e-05, 7.41680810424717e-05, 9.169217262480779e-05, 0.00011728637041282849, 0.0001585600003353751, 0.0002174012923623185, 0.00030678449294113295, 0.0004331937788843621, 0.0006091048549626968, 0.0008620831594067871, 0.0011800936893951659, 0.0016526003618174464, 0.0021955111861045014, 0.003018068839309279, 0.003916298552683903, 0.005244141237740265, 0.00671021458774427, 0.008689431543168893, 0.011077991015364911, 0.013846866879205947, 0.018277589976093543, 0.02263807758376126, 0.026764096886891783, 0.030619908039055364, 0.034190005535063024, 0.03747205032074457, 0.04047235798410824, 0.043202776086250644, 0.04567850311170732, 0.04791656426723585, 0.04993475299546003, 0.051750905535460974, 0.05338241455026077, 0.05484591438452446, 0.05615708915821717, 0.05733056820576546, 0.0583798829724858, 0.05931746646797929, 0.06015468149232805, 0.060901867612736985, 0.06156839964206091, 0.062162752418987006, 0.06269256820256112, 0.0631647241099522, 0.06358539784776623, 0.06396013058916754, 0.06429388628745066, 0.06459110703324575, 0.06485576428995872, 0.06509140604516565]\n", - "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.270698985694391}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15270698985694392}, 'scena-name': [0]}\n", - "The inlet feed density is 41.0275814575221 [mol/m3]\n", - "the number of timepoints is 68\n", - "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", - "Model # of time grid is 69 , initial point # of time grid is 69\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Parameters: 212 , 15.270698985694391\n", - "temp_feed is fixed at 313.15\n", - "temp_bath is fixed at 293.15\n", - "yfeed is fixed at 0.15\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", + "Number of Lagrangian Hessian evaluations = 239\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 22.224\n", + "Total CPU secs in NLP function evaluations = 12.063\n", "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.84e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (2556111)\n", - " 1 0.0000000e+00 1.83e+02 1.27e+01 -1.0 9.17e+01 - 4.01e-02 2.98e-03h 1\n", - " 2 0.0000000e+00 1.83e+02 7.24e+04 -1.0 9.15e+01 - 1.48e-01 2.98e-05h 1\n", - " 3r 0.0000000e+00 1.83e+02 9.99e+02 2.3 0.00e+00 - 0.00e+00 1.49e-07R 2\n", - " 4r 0.0000000e+00 4.23e+02 1.52e+04 2.3 1.57e+05 - 1.13e-04 8.21e-04f 1\n", - " 5r 0.0000000e+00 3.38e+03 2.27e+06 2.3 5.48e+01 2.0 1.67e-01 7.50e-02f 1\n", - " 6r 0.0000000e+00 2.88e+03 1.94e+06 2.3 1.66e+00 4.2 1.26e-01 1.57e-01f 1\n", - " 7r 0.0000000e+00 2.50e+03 1.67e+06 2.3 2.22e+00 3.8 3.01e-01 1.40e-01f 1\n", - " 8r 0.0000000e+00 1.88e+03 1.25e+06 2.3 1.38e+00 4.2 5.92e-01 2.72e-01f 1\n", - " 9r 0.0000000e+00 1.28e+03 8.50e+05 2.3 1.02e+00 4.6 7.97e-01 3.63e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 9.17e+02 6.11e+05 2.3 7.61e-01 4.1 2.58e-01 3.20e-01f 1\n", - " 11r 0.0000000e+00 4.17e+02 2.95e+05 2.3 5.31e-01 4.6 1.38e-01 6.98e-01f 1\n", - " 12r 0.0000000e+00 6.23e+02 5.98e+05 2.3 3.20e-01 4.1 1.00e+00 1.00e+00f 1\n", - " 13r 0.0000000e+00 6.39e+02 2.31e+06 2.3 8.52e-02 6.3 1.00e+00 1.00e+00h 1\n", - " 14r 0.0000000e+00 3.97e+02 3.57e+05 2.3 3.09e-02 5.8 1.00e+00 1.00e+00f 1\n", - " 15r 0.0000000e+00 9.10e+01 1.19e+05 2.3 3.35e-02 6.3 1.00e+00 1.00e+00f 1\n", - " 16r 0.0000000e+00 9.10e+01 3.00e+04 2.3 1.06e-02 5.8 1.00e+00 1.00e+00f 1\n", - " 17r 0.0000000e+00 9.10e+01 7.89e+03 2.3 1.72e-02 5.3 1.00e+00 1.00e+00f 1\n", - " 18r 0.0000000e+00 9.10e+01 1.26e+03 1.6 1.88e-02 4.8 1.00e+00 1.00e+00f 1\n", - " 19r 0.0000000e+00 9.10e+01 2.21e+03 1.6 8.67e-03 5.3 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 9.10e+01 1.05e+03 1.6 1.75e-02 4.8 1.00e+00 1.00e+00f 1\n", - " 21r 0.0000000e+00 9.09e+01 1.03e+03 1.6 5.15e-02 4.3 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 9.09e+01 1.48e+03 1.6 1.49e-01 3.8 1.00e+00 1.00e+00f 1\n", - " 23r 0.0000000e+00 9.07e+01 6.01e+03 1.6 4.46e-01 3.3 1.00e+00 6.81e-01f 1\n", - " 24r 0.0000000e+00 9.07e+01 8.54e+03 1.6 1.67e-01 3.8 1.00e+00 1.00e+00f 1\n", - " 25r 0.0000000e+00 9.06e+01 3.02e+03 1.6 6.27e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 26r 0.0000000e+00 9.05e+01 9.88e+02 1.6 1.88e-01 3.7 1.00e+00 1.00e+00f 1\n", - " 27r 0.0000000e+00 9.04e+01 2.27e+03 0.9 5.65e-01 3.2 1.00e+00 5.65e-01f 1\n", - " 28r 0.0000000e+00 9.02e+01 1.66e+03 0.9 1.69e+00 2.8 1.00e+00 2.64e-01f 1\n", - " 29r 0.0000000e+00 8.97e+01 1.35e+03 0.9 5.08e+00 2.3 1.00e+00 1.72e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 8.93e+01 9.89e+02 0.9 1.90e+00 2.7 1.00e+00 4.46e-01f 1\n", - " 31r 0.0000000e+00 8.89e+01 9.89e+02 0.9 5.71e+00 2.2 1.00e+00 1.43e-01f 1\n", - " 32r 0.0000000e+00 8.78e+01 9.88e+02 0.9 2.14e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 33r 0.0000000e+00 8.46e+01 9.88e+02 0.9 6.42e+00 2.2 1.00e+00 9.98e-01f 1\n", - " 34r 0.0000000e+00 2.18e+02 2.10e+05 0.9 1.94e+01 1.7 6.13e-02 9.86e-02f 1\n", - " 35r 0.0000000e+00 8.58e+01 1.55e+04 0.9 3.44e-01 3.9 8.61e-01 7.87e-01f 1\n", - " 36r 0.0000000e+00 8.36e+01 9.56e+04 0.9 2.63e-01 4.4 1.00e+00 1.00e+00f 1\n", - " 37r 0.0000000e+00 8.36e+01 4.22e+04 0.9 4.85e-01 3.9 5.16e-01 2.28e-01f 1\n", - " 38r 0.0000000e+00 8.34e+01 3.50e+04 0.9 3.84e-01 3.4 1.00e+00 1.00e+00f 1\n", - " 39r 0.0000000e+00 8.28e+01 1.99e+03 0.9 1.14e+00 2.9 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 8.11e+01 9.88e+02 0.9 3.43e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 41r 0.0000000e+00 7.61e+01 4.42e+04 0.9 1.03e+01 2.0 1.00e+00 1.00e+00f 1\n", - " 42r 0.0000000e+00 7.59e+01 1.00e+04 0.9 4.82e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 43r 0.0000000e+00 7.58e+01 1.81e+03 0.9 1.81e-01 3.7 1.00e+00 1.00e+00f 1\n", - " 44r 0.0000000e+00 7.55e+01 9.88e+02 0.9 5.43e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 45r 0.0000000e+00 7.48e+01 9.88e+02 0.9 1.63e+00 2.8 1.00e+00 1.00e+00f 1\n", - " 46r 0.0000000e+00 7.24e+01 9.88e+02 0.9 4.88e+00 2.3 1.00e+00 1.00e+00f 1\n", - " 47r 0.0000000e+00 7.15e+01 1.29e+03 0.9 1.83e+00 2.7 1.00e+00 1.00e+00f 1\n", - " 48r 0.0000000e+00 6.89e+01 9.88e+02 0.9 5.49e+00 2.3 1.00e+00 1.00e+00f 1\n", - " 49r 0.0000000e+00 6.79e+01 2.60e+03 0.9 2.06e+00 2.7 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 6.51e+01 2.64e+03 0.9 6.18e+00 2.2 1.00e+00 9.60e-01f 1\n", - " 51r 0.0000000e+00 6.51e+01 2.33e+03 0.9 2.32e+00 2.6 1.00e+00 3.18e-02f 1\n", - " 52r 0.0000000e+00 6.48e+01 2.36e+03 0.9 6.95e+00 2.2 4.86e-01 7.56e-02f 1\n", - " 53r 0.0000000e+00 6.46e+01 1.87e+03 0.9 2.61e+00 2.6 1.00e+00 1.68e-01f 1\n", - " 54r 0.0000000e+00 6.41e+01 1.62e+03 0.9 7.82e+00 2.1 3.46e-01 1.35e-01f 1\n", - " 55r 0.0000000e+00 6.39e+01 1.37e+03 0.9 2.93e+00 2.5 1.00e+00 1.43e-01f 1\n", - " 56r 0.0000000e+00 6.37e+01 1.20e+03 0.9 1.10e+00 3.0 1.00e+00 3.71e-01f 1\n", - " 57r 0.0000000e+00 6.35e+01 9.88e+02 0.9 3.30e+00 2.5 1.00e+00 1.90e-01f 1\n", - " 58r 0.0000000e+00 6.33e+01 9.88e+02 0.9 1.24e+00 2.9 1.00e+00 2.95e-01f 1\n", - " 59r 0.0000000e+00 6.30e+01 9.88e+02 0.9 3.71e+00 2.4 1.00e+00 1.73e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 6.28e+01 9.88e+02 0.9 1.39e+00 2.9 1.00e+00 3.32e-01f 1\n", - " 61r 0.0000000e+00 6.25e+01 9.87e+02 0.9 4.17e+00 2.4 1.00e+00 1.52e-01f 1\n", - " 62r 0.0000000e+00 6.22e+01 9.88e+02 0.9 1.57e+00 2.8 1.00e+00 3.15e-01f 1\n", - " 63r 0.0000000e+00 6.19e+01 9.87e+02 0.9 4.70e+00 2.3 1.00e+00 1.52e-01f 1\n", - " 64r 0.0000000e+00 6.17e+01 9.87e+02 0.9 1.76e+00 2.7 1.00e+00 2.69e-01f 1\n", - " 65r 0.0000000e+00 6.14e+01 9.88e+02 0.9 6.60e-01 3.2 1.00e+00 7.67e-01f 1\n", - " 66r 0.0000000e+00 6.13e+01 9.87e+02 0.9 1.98e+00 2.7 1.00e+00 1.32e-01f 1\n", - " 67r 0.0000000e+00 6.11e+01 9.87e+02 0.9 7.43e-01 3.1 1.00e+00 5.33e-01f 1\n", - " 68r 0.0000000e+00 6.09e+01 9.87e+02 0.9 2.23e+00 2.6 1.00e+00 2.14e-01f 1\n", - " 69r 0.0000000e+00 6.05e+01 9.87e+02 0.9 6.68e+00 2.2 1.00e+00 1.33e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 6.03e+01 9.87e+02 0.9 2.51e+00 2.6 1.00e+00 1.86e-01f 1\n", - " 71r 0.0000000e+00 5.98e+01 9.87e+02 0.9 7.52e+00 2.1 1.00e+00 1.47e-01f 1\n", - " 72r 0.0000000e+00 5.95e+01 9.87e+02 0.9 2.82e+00 2.5 1.00e+00 2.51e-01f 1\n", - " 73r 0.0000000e+00 5.92e+01 9.87e+02 0.9 1.06e+00 3.0 1.00e+00 5.98e-01f 1\n", - " 74r 0.0000000e+00 5.89e+01 9.87e+02 0.9 3.17e+00 2.5 1.00e+00 1.61e-01f 1\n", - " 75r 0.0000000e+00 5.84e+01 9.86e+02 0.9 9.51e+00 2.0 1.00e+00 1.13e-01f 1\n", - " 76r 0.0000000e+00 5.81e+01 9.86e+02 0.9 3.57e+00 2.4 1.00e+00 2.10e-01f 1\n", - " 77r 0.0000000e+00 5.78e+01 9.87e+02 0.9 1.34e+00 2.9 1.00e+00 4.20e-01f 1\n", - " 78r 0.0000000e+00 5.77e+01 9.87e+02 0.9 5.02e-01 3.3 1.00e+00 3.87e-01f 1\n", - " 79r 0.0000000e+00 5.76e+01 9.87e+02 0.9 1.50e+00 2.8 1.00e+00 2.56e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 5.71e+01 9.86e+02 0.9 4.51e+00 2.3 1.00e+00 2.01e-01f 1\n", - " 81r 0.0000000e+00 5.67e+01 9.80e+02 0.9 1.34e+01 1.9 1.00e+00 7.81e-02f 1\n", - " 82r 0.0000000e+00 5.62e+01 9.75e+02 0.9 5.02e+00 2.3 1.00e+00 2.01e-01f 1\n", - " 83r 0.0000000e+00 5.59e+01 9.76e+02 0.9 1.89e+00 2.7 1.00e+00 3.41e-01f 1\n", - " 84r 0.0000000e+00 5.57e+01 9.81e+02 0.9 7.10e-01 3.1 1.00e+00 4.59e-01f 1\n", - " 85r 0.0000000e+00 5.55e+01 9.75e+02 0.9 2.12e+00 2.7 1.00e+00 2.42e-01f 1\n", - " 86r 0.0000000e+00 5.54e+01 9.74e+02 0.9 7.94e-01 3.1 1.00e+00 3.40e-01f 1\n", - " 87r 0.0000000e+00 5.51e+01 9.56e+02 0.9 2.32e+00 2.6 7.21e-01 2.11e-01f 1\n", - " 88r 0.0000000e+00 5.48e+01 6.62e+02 0.9 4.88e+00 2.1 1.00e+00 9.68e-02f 1\n", - " 89r 0.0000000e+00 5.09e+01 4.48e+02 0.9 9.68e+00 1.7 1.00e+00 4.10e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 5.04e+01 1.11e+03 0.9 4.61e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 91r 0.0000000e+00 4.90e+01 4.73e+02 0.9 1.38e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 92r 0.0000000e+00 4.85e+01 4.45e+02 0.9 5.16e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 93r 0.0000000e+00 4.83e+01 1.22e+03 0.9 1.54e+00 2.5 1.28e-01 1.27e-01f 1\n", - " 94r 0.0000000e+00 4.77e+01 4.44e+02 0.9 5.79e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 95r 0.0000000e+00 4.60e+01 1.06e+03 0.9 1.73e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 96r 0.0000000e+00 4.54e+01 7.70e+02 0.9 6.47e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 97r 0.0000000e+00 4.51e+01 4.40e+02 0.9 2.42e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 98r 0.0000000e+00 4.44e+01 4.39e+02 0.9 7.25e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 99r 0.0000000e+00 4.41e+01 4.39e+02 0.9 2.72e-01 3.2 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 4.33e+01 4.38e+02 0.9 8.13e-01 2.7 1.00e+00 1.00e+00f 1\n", - " 101r 0.0000000e+00 4.30e+01 4.37e+02 0.9 3.05e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 102r 0.0000000e+00 4.21e+01 4.36e+02 0.9 9.11e-01 2.7 1.00e+00 1.00e+00f 1\n", - " 103r 0.0000000e+00 3.94e+01 4.33e+02 0.9 2.71e+00 2.2 1.00e+00 1.00e+00f 1\n", - " 104r 0.0000000e+00 3.85e+01 1.22e+03 0.9 1.01e+00 2.6 8.82e-01 8.34e-01f 1\n", - " 105r 0.0000000e+00 3.72e+01 6.56e+02 0.9 3.01e+00 2.2 1.00e+00 4.63e-01f 1\n", - " 106r 0.0000000e+00 3.60e+01 6.56e+02 0.9 1.13e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 107r 0.0000000e+00 3.56e+01 4.62e+02 0.9 4.24e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 108r 0.0000000e+00 3.43e+01 7.14e+02 0.9 1.27e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 109r 0.0000000e+00 3.39e+01 4.25e+02 0.9 4.74e-01 3.0 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 3.24e+01 4.23e+02 0.9 1.42e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 111r 0.0000000e+00 3.19e+01 4.23e+02 0.9 5.30e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 112r 0.0000000e+00 3.17e+01 4.22e+02 0.9 1.99e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 113r 0.0000000e+00 3.11e+01 4.21e+02 0.9 5.95e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 114r 0.0000000e+00 2.94e+01 4.19e+02 0.9 1.78e+00 2.4 1.00e+00 1.00e+00f 1\n", - " 115r 0.0000000e+00 2.87e+01 4.18e+02 0.9 6.64e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 116r 0.0000000e+00 2.84e+01 4.18e+02 0.9 2.49e-01 3.2 1.00e+00 1.00e+00f 1\n", - " 117r 0.0000000e+00 2.77e+01 4.17e+02 0.9 7.45e-01 2.7 1.00e+00 1.00e+00f 1\n", - " 118r 0.0000000e+00 2.55e+01 4.14e+02 0.9 2.22e+00 2.3 1.00e+00 1.00e+00f 1\n", - " 119r 0.0000000e+00 2.10e+01 6.86e+02 0.9 6.52e+00 1.8 9.15e-01 6.97e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 0.0000000e+00 1.49e+01 3.99e+02 0.9 1.85e+01 1.3 1.00e+00 3.31e-01f 1\n", - " 121r 0.0000000e+00 1.40e+01 4.30e+02 0.9 9.01e-01 2.6 1.00e+00 1.00e+00f 1\n", - " 122r 0.0000000e+00 1.13e+01 7.92e+02 0.9 2.68e+00 2.2 1.00e+00 1.00e+00f 1\n", - " 123r 0.0000000e+00 4.69e+00 3.86e+02 0.9 7.82e+00 1.7 1.00e+00 8.45e-01f 1\n", - " 124r 0.0000000e+00 1.93e+00 4.25e+02 0.9 2.91e+00 2.1 1.00e+00 1.00e+00f 1\n", - " 125r 0.0000000e+00 7.71e-01 4.87e+02 0.9 1.08e+00 2.5 1.00e+00 1.00e+00f 1\n", - " 126r 0.0000000e+00 6.44e-01 4.06e+02 0.9 3.08e+00 2.1 1.00e+00 1.72e-01f 1\n", - " 127r 0.0000000e+00 5.24e-01 3.57e+02 0.9 8.91e-01 2.5 1.00e+00 1.91e-01f 1\n", - " 128r 0.0000000e+00 2.78e+00 5.46e+02 0.9 2.23e-01 2.0 1.00e+00 8.32e-01f 1\n", - " 129r 0.0000000e+00 1.34e+00 3.39e+02 0.9 1.28e-01 2.4 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r 0.0000000e+00 1.72e-01 1.98e+02 0.9 7.77e-02 2.9 1.00e+00 1.00e+00f 1\n", - " 131r 0.0000000e+00 2.80e-01 5.88e+02 0.2 7.90e-02 2.4 1.00e+00 1.00e+00f 1\n", - " 132r 0.0000000e+00 1.82e-01 1.99e+02 0.2 1.13e-01 1.9 1.00e+00 1.00e+00f 1\n", - " 133r 0.0000000e+00 5.33e-01 2.99e+01 0.2 2.74e-01 1.4 1.00e+00 1.00e+00f 1\n", - " 134r 0.0000000e+00 5.79e-01 1.13e+02 -0.5 7.89e-01 1.0 1.00e+00 7.45e-01f 1\n", - " 135r 0.0000000e+00 1.16e+00 5.65e+02 -0.5 2.32e+00 0.5 3.81e-01 1.60e-01f 1\n", - " 136r 0.0000000e+00 1.10e+00 9.75e+02 -0.5 3.18e+00 0.0 6.08e-01 1.13e-01f 1\n", - " 137r 0.0000000e+00 2.01e+00 9.67e+02 -0.5 8.42e+01 -0.5 9.66e-03 1.21e-02f 1\n", - " 138r 0.0000000e+00 1.03e+00 4.63e+02 -0.5 5.37e-01 0.9 1.00e+00 3.73e-01f 1\n", - " 139r 0.0000000e+00 2.65e+01 2.71e+02 -0.5 1.05e+00 0.4 1.00e+00 5.65e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r 0.0000000e+00 2.25e+01 7.87e+02 -0.5 3.54e+00 -0.1 1.00e+00 1.37e-01f 1\n", - " 141r 0.0000000e+00 1.80e+01 6.16e+02 -0.5 4.66e+01 - 1.70e-01 2.13e-01f 1\n", - " 142r 0.0000000e+00 1.69e+01 7.42e+02 -0.5 5.18e+00 -0.6 4.66e-01 6.01e-02f 1\n", - " 143r 0.0000000e+00 1.65e+01 7.16e+02 -0.5 2.30e+01 -1.1 5.10e-02 2.86e-02f 1\n", - " 144r 0.0000000e+00 1.48e+01 6.04e+02 -0.5 3.75e+01 - 7.96e-01 1.03e-01f 1\n", - " 145r 0.0000000e+00 2.27e+00 8.85e+01 -0.5 3.42e+01 - 1.00e+00 1.00e+00f 1\n", - " 146r 0.0000000e+00 2.68e-01 8.52e+01 -0.5 6.45e-01 - 1.00e+00 1.00e+00h 1\n", - " 147r 0.0000000e+00 8.45e-01 1.41e+02 -0.5 4.70e-01 - 1.00e+00 1.00e+00h 1\n", - " 148r 0.0000000e+00 2.56e-01 3.70e+01 -0.5 2.08e-01 - 1.00e+00 1.00e+00h 1\n", - " 149r 0.0000000e+00 6.55e-02 6.15e+00 -0.5 1.05e-01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150r 0.0000000e+00 1.35e+00 7.80e+02 -1.2 7.08e+00 - 2.44e-01 1.22e-01f 1\n", - " 151r 0.0000000e+00 1.72e+00 6.30e+02 -1.2 6.32e+01 - 5.80e-01 4.83e-01f 1\n", - " 152r 0.0000000e+00 1.49e+00 4.71e+02 -1.2 3.25e+01 - 5.19e-01 2.54e-01f 1\n", - " 153r 0.0000000e+00 1.31e+00 3.97e+02 -1.2 2.40e+01 - 6.77e-01 3.80e-01f 1\n", - " 154r 0.0000000e+00 2.03e+00 1.65e+02 -1.2 1.45e+01 - 1.00e+00 9.53e-01f 1\n", - " 155r 0.0000000e+00 1.15e+01 1.71e+02 -1.2 4.24e+00 - 1.00e+00 1.00e+00f 1\n", - " 156r 0.0000000e+00 1.25e+00 9.40e+01 -1.2 2.00e+00 - 1.00e+00 1.00e+00h 1\n", - " 157r 0.0000000e+00 7.59e-01 1.52e+02 -1.2 6.42e-01 - 5.43e-01 3.92e-01h 1\n", - " 158r 0.0000000e+00 2.39e-03 2.57e+02 -1.2 1.92e-02 2.1 1.00e+00 1.00e+00f 1\n", - " 159r 0.0000000e+00 1.97e-03 7.02e+01 -1.2 5.12e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r 0.0000000e+00 1.97e-03 2.97e-01 -1.2 7.11e-02 - 1.00e+00 1.00e+00h 1\n", - " 161r 0.0000000e+00 1.11e+00 2.13e+02 -2.9 1.71e+00 - 8.41e-01 4.10e-01f 1\n", - " 162r 0.0000000e+00 1.08e+00 4.63e+02 -2.9 4.83e+01 - 6.32e-01 2.75e-02f 1\n", - " 163r 0.0000000e+00 9.90e-01 1.78e+02 -2.9 1.19e+00 - 4.74e-01 5.56e-01f 1\n", - " 164r 0.0000000e+00 7.48e-01 1.97e+02 -2.9 6.74e-01 - 6.69e-01 2.83e-01f 1\n", - " 165r 0.0000000e+00 5.01e-01 1.41e+02 -2.9 5.27e-01 - 7.05e-01 3.87e-01f 1\n", - " 166r 0.0000000e+00 3.70e-01 1.22e+02 -2.9 4.17e-01 - 4.17e-01 2.87e-01f 1\n", - " 167r 0.0000000e+00 2.45e-01 1.68e+02 -2.9 3.56e-01 - 8.63e-01 3.81e-01f 1\n", - " 168r 0.0000000e+00 2.07e-01 1.42e+02 -2.9 2.84e-01 - 1.95e-01 1.65e-01f 1\n", - " 169r 0.0000000e+00 1.36e-01 1.01e+02 -2.9 2.62e-01 - 6.91e-01 3.90e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r 0.0000000e+00 1.24e-01 2.91e+02 -2.9 2.12e-01 - 2.10e-01 9.36e-02f 1\n", - " 171r 0.0000000e+00 9.73e-02 1.42e+02 -2.9 2.04e-01 - 6.24e-01 2.36e-01f 1\n", - " 172r 0.0000000e+00 8.42e-02 1.05e+02 -2.9 1.86e-01 - 1.36e-01 1.43e-01f 1\n", - " 173r 0.0000000e+00 4.37e-02 8.05e+01 -2.9 1.76e-01 - 4.25e-01 6.47e-01f 1\n", - " 174r 0.0000000e+00 3.95e-02 7.40e+01 -2.9 1.33e-01 - 1.29e-01 1.00e-01f 1\n", - " 175r 0.0000000e+00 3.42e-02 5.46e+02 -2.9 1.28e-01 - 1.00e+00 1.44e-01f 1\n", - " 176r 0.0000000e+00 2.29e-02 2.52e+02 -2.9 1.21e-01 - 7.48e-02 4.14e-01f 1\n", - " 177r 0.0000000e+00 1.80e-02 2.39e+02 -2.9 1.06e-01 - 6.01e-01 2.52e-01f 1\n", - " 178r 0.0000000e+00 1.56e-02 2.05e+02 -2.9 9.78e-02 - 1.60e-01 1.48e-01f 1\n", - " 179r 0.0000000e+00 1.28e-02 4.92e+02 -2.9 9.37e-02 - 7.52e-01 2.05e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r 0.0000000e+00 9.44e-03 3.04e+02 -2.9 8.69e-02 - 3.81e-01 3.52e-01f 1\n", - " 181r 0.0000000e+00 7.89e-03 2.41e+02 -2.9 7.83e-02 - 1.53e-01 1.95e-01f 1\n", - " 182r 0.0000000e+00 6.12e-03 2.08e+02 -2.9 7.36e-02 - 7.30e-01 2.99e-01f 1\n", - " 183r 0.0000000e+00 4.76e-03 1.23e+02 -2.9 6.37e-02 - 1.94e-01 2.89e-01f 1\n", - " 184r 0.0000000e+00 3.92e-03 1.13e+02 -2.9 5.96e-02 - 1.71e-01 2.21e-01f 1\n", - " 185r 0.0000000e+00 3.11e-03 4.28e+02 -2.9 5.67e-02 - 1.00e+00 2.89e-01f 1\n", - " 186r 0.0000000e+00 2.46e-03 2.92e+02 -2.9 5.16e-02 - 2.91e-01 3.14e-01f 1\n" + "EXIT: Optimal Solution Found.\n" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - " 187r 0.0000000e+00 1.93e-03 1.96e+02 -2.9 4.74e-02 - 3.06e-01 3.46e-01f 1\n", - " 188r 0.0000000e+00 1.53e-03 1.42e+02 -2.9 4.08e-02 - 3.45e-01 2.95e-01f 1\n", - " 189r 0.0000000e+00 1.20e-03 8.78e+01 -2.9 3.66e-02 - 2.91e-01 3.21e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190r 0.0000000e+00 9.60e-04 6.68e+01 -2.9 3.02e-02 - 2.74e-01 2.52e-01f 1\n", - " 191r 0.0000000e+00 7.63e-04 1.15e+02 -2.9 2.29e-02 - 3.31e-01 2.38e-01f 1\n", - " 192r 0.0000000e+00 4.71e-04 7.48e+01 -2.9 1.14e-02 - 4.70e-01 4.15e-01f 1\n", - " 193r 0.0000000e+00 2.53e-06 2.35e+00 -2.9 8.09e-04 - 9.91e-01 1.00e+00f 1\n", - " 194r 0.0000000e+00 2.29e-06 8.67e-01 -2.9 7.07e-04 - 1.00e+00 1.00e+00h 1\n", - " 195r 0.0000000e+00 2.33e-06 1.39e-03 -2.9 2.87e-05 - 1.00e+00 1.00e+00h 1\n", - " 196r 0.0000000e+00 2.12e-04 2.76e+02 -6.5 2.93e-02 - 9.97e-01 4.47e-01f 1\n", - " 197r 0.0000000e+00 5.84e-05 6.66e+01 -6.5 4.18e-03 - 9.83e-01 8.16e-01f 1\n", - " 198r 0.0000000e+00 3.11e-06 5.84e+00 -6.5 1.37e-03 - 9.23e-01 1.00e+00f 1\n", - " 199r 0.0000000e+00 4.66e-10 1.61e-06 -6.5 3.62e-06 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 199\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.3605725381221505e-11 4.6566128730773926e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.3605725381221505e-11 4.6566128730773926e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 202\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 202\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 201\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 199\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 19.205\n", - "Total CPU secs in NLP function evaluations = 10.153\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Output this time: [0.000199428298248, 4.1356555006815e-05, 4.188736671388932e-05, 4.2401104797183175e-05, 4.285569220806343e-05, 4.325400484445198e-05, 4.361037241511444e-05, 4.392638518188518e-05, 4.42214287432216e-05, 4.4498553234770536e-05, 4.4787529871540535e-05, 4.510213404069607e-05, 4.549844159437942e-05, 4.602318926355896e-05, 4.6796787634008955e-05, 4.796270681398276e-05, 4.9779841416334704e-05, 5.2684437320666156e-05, 5.7180426729752376e-05, 6.456477013651732e-05, 7.56643416346777e-05, 9.399281126615333e-05, 0.00012062972129070754, 0.00016360664920564487, 0.0002243071932991006, 0.0003169485294957881, 0.00044627184954689056, 0.0006277163350622344, 0.0008848604344951678, 0.0012107406338846814, 0.0016894721100994387, 0.0022409129135743484, 0.0030745132052272996, 0.003978052946524818, 0.005327301704909503, 0.006788549280033763, 0.008807560935188356, 0.0111717402704241, 0.014008102827123193, 0.018431808199408248, 0.02276254933878451, 0.026859042338969293, 0.030687223638211435, 0.03423242685288259, 0.037492686044980246, 0.04047439278515145, 0.043189286399368566, 0.0456523490721536, 0.04788033276603717, 0.04989073458705112, 0.05170109324132735, 0.05332851629855062, 0.054789373416549346, 0.05609910855474791, 0.057272136967126616, 0.05832180198474981, 0.05926037331402374, 0.06009907349969042, 0.06084812282598876, 0.06151679560577884, 0.06211348278693809, 0.06264575726995504, 0.06312043941326431, 0.06354366100121994, 0.06392092653600379, 0.06425717114293782, 0.06455681468871487, 0.06482381193397686, 0.0650616986979912]\n", - "Build time with sequential_finite mode [s]: 11.773624897003174\n", - "Solve time with sequential_finite mode [s]: 273.7505044937134\n", - "Existed information has been added.\n", - "FIM: [[ 1.75708086e-03 -1.05841985e-05]\n", - " [-1.05841985e-05 6.54887904e-08]]\n", - "Trace: 0.0017571463515329228\n", - "Determinant: 3.0438421555175097e-12\n", - "Condition number: 1014361.8017187293\n", - "Minimal eigen value: 1.7322661562072525e-09\n", - "Eigen values: [1.75714462e-03 1.73226616e-09]\n", - "Eigen vectors: [[ 0.99998186 0.00602364]\n", - " [-0.00602364 0.99998186]]\n" + "ename": "KeyError", + "evalue": "\"Index '(0, 0)' is not valid for indexed component 'FCO2'\"", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_12151/4242773282.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mif_s\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m result = doe_object.compute_FIM(exp1, mode=sensi_opt, FIM_store_name = 'fixed_bed.csv',\n\u001b[0m\u001b[1;32m 8\u001b[0m scale_nominal_param_value = if_s, formula='central')\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/pyomo/pyomo/contrib/doe/fim_doe.py\u001b[0m in \u001b[0;36mcompute_FIM\u001b[0;34m(self, design_values, mode, FIM_store_name, specified_prior, tee_opt, scale_nominal_param_value, scale_constant_value, formula, step, if_Cholesky, L_LB, L_initial)\u001b[0m\n\u001b[1;32m 355\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mj\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmeasurement_variables\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 356\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mt\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmeasurement_timeset\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 357\u001b[0;31m \u001b[0mC_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0meval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'mod.'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mj\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m'[0,'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m']'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 358\u001b[0m \u001b[0moutput_combine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mC_value\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 359\u001b[0m \u001b[0moutput_record\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mno_s\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moutput_combine\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/pyomo/pyomo/contrib/doe/fim_doe.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n", + "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/core/base/indexed_component.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, index)\u001b[0m\n\u001b[1;32m 509\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mEXPR\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGetItemExpression\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 510\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 511\u001b[0;31m \u001b[0mvalidated_index\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 512\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mvalidated_index\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 513\u001b[0m \u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalidated_index\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/core/base/indexed_component.py\u001b[0m in \u001b[0;36m_validate_index\u001b[0;34m(self, idx)\u001b[0m\n\u001b[1;32m 734\u001b[0m \u001b[0;31m# Raise an exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 735\u001b[0m \u001b[0;31m#\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 736\u001b[0;31m raise KeyError(\n\u001b[0m\u001b[1;32m 737\u001b[0m \u001b[0;34m\"Index '%s' is not valid for indexed component '%s'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 738\u001b[0m % ( idx, self.name, ))\n", + "\u001b[0;31mKeyError\u001b[0m: \"Index '(0, 0)' is not valid for indexed component 'FCO2'\"" ] } ], @@ -1940,23 +614,20 @@ }, { "cell_type": "code", - "execution_count": 16, - "id": "6de9d17a", + "execution_count": null, + "id": "8481d42e", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "======Result summary======\n", - "Four design criteria log10() value:\n", - "A-optimality: -2.7551920649041515\n", - "D-optimality: -11.516577872520761\n", - "E-optimality: -8.761385379471282\n", - "Modified E-optimality: 6.0061928864218\n" - ] - } - ], + "outputs": [], + "source": [ + "print(doe_object.dsdp)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4518cb96", + "metadata": {}, + "outputs": [], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", @@ -1969,7 +640,135 @@ { "cell_type": "code", "execution_count": null, - "id": "e59e7e05", + "id": "8c367c2c", + "metadata": {}, + "outputs": [], + "source": [ + "doe_object.models[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "76dc2318", + "metadata": {}, + "outputs": [], + "source": [ + "breakthrough_modify2(doe_object.models[2])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d6cb64ee", + "metadata": {}, + "outputs": [], + "source": [ + "def breakthrough_modify2(m, file=None, source=\"lab\"):\n", + " '''\n", + " Draw breakthrough curve of the Pyomo model\n", + " \n", + " Arguments:\n", + " m: Pyomo model\n", + " file: when source = 'computer', this is where the computer experimental data is stored. Otherwise, its default is None\n", + " source: if computer, it is plotting the computer experiment data. If lab, its comparing the experiments from the lab\n", + " \n", + " Return: None \n", + " \n", + " Other: plot\n", + " \n", + " '''\n", + " \n", + " \n", + " # unit: mol/m3\n", + " outlet_den, _, _, _ = extract3d(m, m.C, 'CO2')\n", + " \n", + " # unit: cm/s\n", + " outlet_vel, _, _, _ = extract2d(m, m.v)\n", + " \n", + " outlet_n2, _, _, _ = extract3d(m, m.C, 'N2')\n", + " \n", + " model_temp, _,_,_ = extract2d(m,m.temp)\n", + " \n", + " \n", + " T = []\n", + " for j in m.t:\n", + " T.append(value(j))\n", + " t_final = T[-1]\n", + " \n", + " \n", + " if source == \"lab\":\n", + " break_wvu = pd.read_csv('/Users/wangjialu/dowlinglab/sorption-fixed-bed/breakthrough_wvu.csv')\n", + " \n", + " exp = pd.read_csv('/Users/wangjialu/dowlinglab/sorption-fixed-bed/co2_breakthrough.csv')\n", + " \n", + " data_c1 = exp['FCO2']\n", + " data_c = np.asarray(data_c1)\n", + " data_t1 = exp['time'] \n", + " data_t = np.asarray(data_t1*60+10)\n", + " new_data = np.interp(T, data_t, data_c)\n", + " \n", + " fco2 = []\n", + " for t in m.t:\n", + " fco2.append(value(m.FCO2[0,19,t]))\n", + " \n", + " yco2 = []\n", + " for i in range(len(fco2)):\n", + " yco2.append(fco2[i]/fco2[-1])\n", + " \n", + " # real value of FCO2. for verification\n", + " comp = outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1])\n", + " \n", + " plt.plot(exp['time']*60, exp['FCO2'],'b.', color='r', label='Experimental data')\n", + " #plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Model prediction')\n", + " plt.plot(T, yco2, label='Model prediction')\n", + " \n", + " plt.xlabel('time [s]')\n", + " plt.ylabel('Normalized outlet gas density of CO\\N{SUBSCRIPT TWO} ')\n", + " plt.title('Breakthrough curve')\n", + " #plt.savefig('break_tr%.fua%.f.png'%(tr,ua))\n", + " plt.legend()\n", + " plt.show()\n", + " \n", + " elif source == \"computer\": \n", + " \n", + " sol = pd.read_csv(file)\n", + " \n", + " #for i in range(len(time_exp)): \n", + " # yco2_exp[time_exp[i]] = sol['FCO2'][i]\n", + " # temp_mid_exp[time_exp[i]] = sol['temp_mid'][i]\n", + " # temp_end_exp[time_exp[i]] = sol['temp_end'][i]\n", + " \n", + " exp_fco2 = np.asarray(sol['FCO2'].values.tolist())\n", + " exp_temp_mid = np.asarray(sol['temp_mid'].values.tolist())\n", + " exp_temp_end = np.asarray(sol['temp_end'].values.tolist())\n", + " \n", + " plt.plot(T, exp_fco2/exp_fco2[-1], label = 'Experimental data')\n", + " plt.plot(T, outlet_den[-1,:]*outlet_vel[-1,:]/(outlet_den[-1, -1]*outlet_vel[-1,-1]), label='Model prediction')\n", + " plt.xlabel('time [s]')\n", + " plt.ylabel('Normalized outlet gas density of CO\\N{SUBSCRIPT TWO} ')\n", + " plt.title('Breakthrough curve')\n", + " #plt.savefig('break_tr%.fua%.f.png'%(tr,ua))\n", + " plt.legend()\n", + " plt.show()\n", + " \n", + " \n", + " plt.plot(T, exp_temp_mid, label='Experimental data of middle T')\n", + " plt.plot(T, model_temp[10,:], label='Model prediction of middle T')\n", + " plt.plot(T, exp_temp_end, label='Experimental data of end T')\n", + " plt.plot(T, model_temp[19,:], label='Model prediction of end T')\n", + " plt.xlabel('time [s]')\n", + " plt.ylabel('Temperature [K]')\n", + " plt.title('Temperature model prediction and experimental data')\n", + " #plt.savefig('break_tr%.fua%.f.png'%(tr,ua))\n", + " plt.legend()\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4cb84688", "metadata": {}, "outputs": [], "source": [] From 00fe3ce14beeb288aed577cbadced0a55f4dfefe Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sat, 18 Sep 2021 13:44:21 -0400 Subject: [PATCH 32/42] Add extra index to measurements --- pyomo/contrib/doe/fim_doe.py | 20 +- pyomo/contrib/doe/fixed_bed_doe.ipynb | 753 ++++++++++++++++++++++++-- 2 files changed, 730 insertions(+), 43 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index 019c726454e..cfeb456d498 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -13,7 +13,7 @@ class DesignOfExperiments: def __init__(self, param_init, design_variable_timepoints, measurement_variables, measurement_timeset, create_model, solver=None, - prior_FIM=None, discretize_model=None, verbose=True, args=None): + prior_FIM=None, discretize_model=None, verbose=True, args=None, measurement_extra_index=None): ''' This package enables model-based design of experiments analysis with Pyomo. Both direct optimization and enumeration modes are supported. NLP sensitivity tools, e.g., sipopt and k_aug, are supported to accelerate analysis via enumeration. @@ -55,6 +55,7 @@ def __init__(self, param_init, design_variable_timepoints, measurement_variables # create_model() self.create_model = create_model self.args = args + self.measurement_extra_index = measurement_extra_index # check if user-defined solver is given if solver is not None: self.solver = solver @@ -354,8 +355,13 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No output_combine = [] for j in self.measurement_variables: for t in self.measurement_timeset: - C_value = eval('mod.' + j + '[0,' + str(t) + ']') - output_combine.append(value(C_value)) + if self.measurement_extra_index is None: + C_value = eval('mod.' + j + '[0,' + str(t) + ']') + output_combine.append(value(C_value)) + else: + for ind in self.measurement_extra_index: + C_value = eval('mod.' + j + '[0,' + str(ind) +',' + str(t) + ']') + output_combine.append(value(C_value)) output_record[no_s] = output_combine print('Output this time: ', output_record[no_s]) @@ -478,16 +484,16 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No else: # if it is not fixed, record its perturbed value if self.mode =='sequential_sipopt': - perturb_value = eval('m_sipopt.sens_sol_state_1[m_sipopt.' + j + '[0,19' + str(t) + ']]') + perturb_value = eval('m_sipopt.sens_sol_state_1[m_sipopt.' + j + '[0,' + str(t) + ']]') else: - perturb_value = eval('m_sipopt.' + j + '[0,19' + str(t) + ']()') + perturb_value = eval('m_sipopt.' + j + '[0,' + str(t) + ']()') perturb_mea.append(perturb_value) # base case values if self.mode =='sequential_sipopt': - base_value = eval('m_sipopt.'+j+'[0,19' + str(t) + '].value') + base_value = eval('m_sipopt.'+j+'[0,' + str(t) + '].value') else: - base_value = value(eval('mod.' + j + '[0,19' + str(t) + ']')) + base_value = value(eval('mod.' + j + '[0,' + str(t) + ']')) base_mea.append(base_value) diff --git a/pyomo/contrib/doe/fixed_bed_doe.ipynb b/pyomo/contrib/doe/fixed_bed_doe.ipynb index f4a7f8a005e..f5ebe182174 100644 --- a/pyomo/contrib/doe/fixed_bed_doe.ipynb +++ b/pyomo/contrib/doe/fixed_bed_doe.ipynb @@ -3,7 +3,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "2d01b8bc", + "id": "c7a825a3", "metadata": {}, "outputs": [ { @@ -33,7 +33,7 @@ }, { "cell_type": "markdown", - "id": "25b91bae", + "id": "1d496a46", "metadata": {}, "source": [ "## Define fixed bed model " @@ -42,7 +42,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "d2cea484", + "id": "443de8ec", "metadata": {}, "outputs": [ { @@ -64,7 +64,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "8e9778ed", + "id": "141291f6", "metadata": {}, "outputs": [], "source": [ @@ -114,7 +114,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "8053fc28", + "id": "4d1874da", "metadata": {}, "outputs": [], "source": [ @@ -136,7 +136,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "d7bb9607", + "id": "6066ae62", "metadata": {}, "outputs": [], "source": [ @@ -150,8 +150,8 @@ }, { "cell_type": "code", - "execution_count": 10, - "id": "3ccf5f45", + "execution_count": 6, + "id": "82f23c71", "metadata": {}, "outputs": [], "source": [ @@ -176,8 +176,8 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "1fad4b22", + "execution_count": 7, + "id": "b5d2bfb3", "metadata": {}, "outputs": [ { @@ -210,8 +210,8 @@ }, { "cell_type": "code", - "execution_count": 11, - "id": "3b2be384", + "execution_count": 8, + "id": "854c3c01", "metadata": {}, "outputs": [], "source": [ @@ -228,8 +228,8 @@ }, { "cell_type": "code", - "execution_count": 12, - "id": "5a6e376e", + "execution_count": null, + "id": "78fc1c62", "metadata": {}, "outputs": [ { @@ -573,32 +573,713 @@ "Number of equality constraint Jacobian evaluations = 241\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 239\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 22.224\n", - "Total CPU secs in NLP function evaluations = 12.063\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 22.022\n", + "Total CPU secs in NLP function evaluations = 11.753\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [0.000199428298248, 8.159596113447982e-05, 8.06946654218583e-05, 8.060545218996603e-05, 8.05922638054428e-05, 8.06830529881791e-05, 8.092393148258299e-05, 8.138996561991319e-05, 8.220691446083944e-05, 8.354278953885298e-05, 8.57026622873618e-05, 8.906773565978447e-05, 9.432479488510523e-05, 0.00010235923126366355, 0.00011459900994249055, 0.00013312522538329804, 0.00016063636274550605, 0.00020189765533140108, 0.0002615361482638168, 0.0003496676072391476, 0.0004739671052287185, 0.0006534132236106903, 0.0009024780493370829, 0.0012507854218092897, 0.0017321782676709282, 0.002380469281945195, 0.0032805162232349494, 0.004447945217571189, 0.006074088377415348, 0.008124372223979541, 0.01094681547572676, 0.014461669022253907, 0.01918125674799001, 0.024180014612463687, 0.02892504358086735, 0.033269200957853254, 0.037190600399237925, 0.04070433206072048, 0.04383787347709593, 0.04662279850067653, 0.04909134830524111, 0.05127481323660119, 0.053202730021499285, 0.05490249940671077, 0.05639923962461354, 0.05771577792329515, 0.05887272366038304, 0.059888588396701886, 0.06077993112077188, 0.06156151454259804, 0.0622464634023627, 0.06284641904074287, 0.06337168669070434, 0.06383137344648904, 0.06423351587723827, 0.0645851969322933, 0.06489265223461782, 0.06516136614775829, 0.06539615817880623, 0.06560126037904448, 0.06578038644948751, 0.06593679326754776, 0.06607333553580394, 0.06619251422302337, 0.06629651942737258, 0.06638726824647387, 0.06646643819164785, 0.06653549663638668, 0.06659572674322364]\n", + "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.579197955102359}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15579197955102358}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "Parameters: 212 , 15.579197955102359\n", + "temp_feed is fixed at 313.15\n", + "temp_bath is fixed at 313.15\n", + "yfeed is fixed at 0.15\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", "\n", - "EXIT: Optimal Solution Found.\n" + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.25e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reallocating memory for MA57: lfact (2559697)\n", + " 1 0.0000000e+00 1.25e+02 2.56e+02 -1.0 1.25e+02 - 7.48e-01 2.98e-03h 1\n", + " 2 0.0000000e+00 1.25e+02 2.46e+06 -1.0 1.25e+02 - 2.89e-01 2.98e-05h 1\n", + " 3r 0.0000000e+00 1.25e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 1.49e-07R 2\n", + " 4r 0.0000000e+00 1.23e+02 3.59e+04 2.1 1.22e+02 - 1.31e-02 1.70e-02f 1\n", + " 5r 0.0000000e+00 5.70e+04 3.49e+06 2.1 1.22e+02 - 5.23e-02 6.10e-02f 1\n", + " 6r 0.0000000e+00 3.59e+04 4.00e+06 2.1 3.44e-01 6.0 3.50e-01 4.39e-01f 1\n", + " 7r 0.0000000e+00 3.54e+04 3.94e+06 2.1 4.60e-01 6.4 3.96e-01 1.34e-02h 1\n", + " 8r 0.0000000e+00 3.09e+04 3.06e+06 2.1 4.63e-01 5.9 1.00e+00 1.36e-01h 1\n", + " 9r 0.0000000e+00 2.19e+04 4.14e+06 2.1 9.26e-01 5.5 2.34e-01 3.29e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.90e+04 3.43e+06 2.1 4.85e-01 5.9 1.74e-01 1.43e-01h 1\n", + " 11r 0.0000000e+00 1.79e+04 4.01e+06 2.1 4.16e-01 7.2 1.22e-02 5.82e-02h 1\n", + " 12r 0.0000000e+00 1.57e+04 1.06e+07 2.1 4.53e-01 6.7 7.16e-02 1.31e-01h 1\n", + " 13r 0.0000000e+00 1.56e+04 1.06e+07 2.1 4.11e-01 7.2 6.73e-02 3.35e-03h 1\n", + " 14r 0.0000000e+00 1.52e+04 1.05e+07 2.1 4.40e-01 6.7 6.79e-01 2.88e-02h 1\n", + " 15r 0.0000000e+00 1.37e+04 1.71e+07 2.1 4.74e-01 7.1 8.20e-02 9.76e-02h 1\n", + " 16r 0.0000000e+00 1.24e+04 1.71e+07 2.1 5.16e-01 6.6 8.54e-02 1.00e-01h 1\n", + " 17r 0.0000000e+00 1.22e+04 1.69e+07 2.1 4.39e-01 7.1 5.57e-01 1.83e-02h 1\n", + " 18r 0.0000000e+00 1.02e+04 1.65e+07 2.1 5.08e-01 6.6 2.13e-02 1.72e-01h 1\n", + " 19r 0.0000000e+00 1.01e+04 1.63e+07 2.1 4.50e-01 7.0 9.53e-01 1.20e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 9.07e+03 3.79e+07 2.1 4.39e-01 7.4 1.00e+00 1.08e-01h 1\n", + " 21r 0.0000000e+00 7.98e+03 3.66e+07 2.1 5.00e-01 7.0 3.45e-01 1.26e-01h 1\n", + " 22r 0.0000000e+00 7.39e+03 3.72e+07 2.1 4.39e-01 7.4 3.00e-01 7.67e-02h 1\n", + " 23r 0.0000000e+00 6.64e+03 3.44e+07 2.1 4.73e-01 6.9 7.53e-03 1.06e-01h 1\n", + " 24r 0.0000000e+00 6.62e+03 3.43e+07 2.1 4.20e-01 7.3 5.59e-01 2.65e-03h 1\n", + " 25r 0.0000000e+00 4.99e+03 5.50e+07 2.1 5.82e-01 6.9 1.05e-01 2.74e-01h 1\n", + " 26r 0.0000000e+00 4.97e+03 5.49e+07 2.1 4.20e-01 8.2 7.19e-01 3.26e-03h 1\n", + " 27r 0.0000000e+00 3.89e+03 3.88e+08 2.1 5.15e-01 7.7 5.89e-01 2.38e-01h 1\n", + " 28r 0.0000000e+00 3.69e+03 4.13e+08 2.1 4.97e-01 8.1 3.53e-01 5.22e-02h 1\n", + "Reallocating memory for MA57: lfact (3093536)\n", + " 29r 0.0000000e+00 3.69e+03 4.13e+08 2.1 5.06e-01 8.6 1.00e+00 1.03e-03h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 2.72e+03 1.01e+09 2.1 5.73e-01 8.1 2.92e-01 2.95e-01h 1\n", + " 31r 0.0000000e+00 2.71e+03 1.01e+09 2.1 5.84e-01 7.6 6.66e-01 3.99e-03h 1\n", + " 32r 0.0000000e+00 2.60e+03 9.71e+08 2.1 6.58e-01 8.0 3.97e-01 4.09e-02h 1\n", + " 33r 0.0000000e+00 1.78e+03 7.22e+08 2.1 7.08e-01 7.6 4.48e-03 3.62e-01h 1\n", + " 34r 0.0000000e+00 1.78e+03 7.22e+08 2.1 5.83e-01 8.0 4.53e-01 8.60e-04h 1\n", + " 35r 0.0000000e+00 1.33e+03 7.46e+08 2.1 7.27e-01 7.5 6.26e-01 2.81e-01h 1\n", + " 36r 0.0000000e+00 1.33e+03 7.44e+08 2.1 6.58e-01 7.9 1.64e-01 2.51e-03h 1\n", + " 37r 0.0000000e+00 1.25e+03 7.07e+08 2.1 8.30e-01 7.5 4.62e-01 6.08e-02h 1\n", + " 38r 0.0000000e+00 1.24e+03 7.04e+08 2.1 7.61e-01 7.9 4.17e-01 3.88e-03h 1\n", + " 39r 0.0000000e+00 9.45e+02 6.06e+08 2.1 8.23e-01 7.4 4.14e-01 2.68e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 9.40e+02 6.04e+08 2.1 7.87e-01 6.9 1.66e-01 4.50e-03h 1\n", + " 41r 0.0000000e+00 8.62e+02 5.56e+08 2.1 7.95e-01 7.4 2.09e-01 8.58e-02h 1\n", + " 42r 0.0000000e+00 6.16e+02 6.52e+08 2.1 7.06e-01 7.8 1.00e+00 3.24e-01h 1\n", + " 43r 0.0000000e+00 2.00e+02 2.49e+08 2.1 6.77e-01 7.3 5.58e-01 1.00e+00h 1\n", + " 44r 0.0000000e+00 1.85e+02 2.31e+08 2.1 8.65e-01 7.7 1.36e-01 7.25e-02h 1\n", + " 45r 0.0000000e+00 1.85e+02 2.31e+08 2.1 8.17e-01 8.2 3.43e-01 8.14e-04h 1\n", + " 46r 0.0000000e+00 1.82e+02 2.26e+08 2.1 1.03e+00 7.7 3.77e-01 2.03e-02h 1\n", + " 47r 0.0000000e+00 1.79e+02 2.23e+08 2.1 1.02e+00 8.1 2.00e-01 1.35e-02h 1\n", + " 48r 0.0000000e+00 1.61e+02 2.32e+08 2.1 9.62e-01 7.6 5.82e-01 1.03e-01h 1\n", + " 49r 0.0000000e+00 1.61e+02 2.32e+08 2.1 9.95e-01 8.1 2.22e-01 2.90e-03h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 1.44e+02 2.71e+08 2.1 1.10e+00 7.6 3.90e-01 1.09e-01f 1\n", + " 51r 0.0000000e+00 1.20e+02 6.49e+08 2.1 9.90e-01 8.0 1.60e-01 1.80e-01h 1\n", + " 52r 0.0000000e+00 1.18e+02 2.16e+09 2.1 1.03e+00 7.5 1.02e-01 6.65e-01f 1\n", + " 53r 0.0000000e+00 1.18e+02 1.97e+09 2.1 3.85e-01 8.9 6.03e-02 9.07e-02h 1\n", + " 54r 0.0000000e+00 1.18e+02 2.12e+09 2.1 6.64e-01 8.4 3.05e-01 7.68e-02h 1\n", + " 55r 0.0000000e+00 1.18e+02 2.52e+09 2.1 6.89e-01 8.8 2.42e-01 3.63e-02h 1\n", + "Reallocating memory for MA57: lfact (3268723)\n", + " 56r 0.0000000e+00 1.18e+02 2.52e+09 2.1 7.61e-01 9.2 1.00e+00 3.58e-04h 1\n", + " 57r 0.0000000e+00 1.18e+02 1.68e+10 2.1 1.04e+00 8.8 2.26e-01 1.94e-01h 1\n", + " 58r 0.0000000e+00 1.18e+02 1.85e+10 2.1 1.02e+00 9.2 5.49e-01 7.26e-02h 1\n", + " 59r 0.0000000e+00 1.18e+02 1.85e+10 2.1 9.92e-01 8.7 1.00e+00 7.58e-04h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 1.18e+02 1.87e+10 2.1 1.07e+00 9.1 3.45e-01 5.39e-02h 1\n", + " 61r 0.0000000e+00 1.18e+02 1.80e+10 2.1 1.23e+00 8.7 1.00e+00 3.94e-02h 1\n", + " 62r 0.0000000e+00 1.18e+02 1.81e+10 2.1 1.02e+00 9.1 3.92e-01 9.11e-02h 1\n", + " 63r 0.0000000e+00 1.18e+02 2.49e+10 2.1 9.20e-01 9.5 1.00e+00 1.32e-01h 1\n", + " 64r 0.0000000e+00 1.18e+02 2.48e+10 2.1 1.03e+00 9.0 5.73e-01 3.23e-03h 1\n", + " 65r 0.0000000e+00 1.18e+02 2.46e+10 2.1 9.16e-01 9.5 1.00e+00 1.32e-01h 1\n", + " 66r 0.0000000e+00 1.18e+02 2.17e+10 2.1 9.59e-01 9.0 4.12e-01 1.03e-01h 1\n", + "Reallocating memory for MA57: lfact (3439532)\n", + " 67r 0.0000000e+00 1.18e+02 2.17e+10 2.1 7.76e-01 9.4 1.00e+00 1.05e-03h 1\n", + " 68r 0.0000000e+00 1.18e+02 1.63e+10 2.1 8.80e-01 8.9 3.34e-01 1.97e-01h 1\n", + " 69r 0.0000000e+00 1.18e+02 1.63e+10 2.1 6.86e-01 9.4 5.37e-01 2.10e-03h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 1.18e+02 1.62e+10 2.1 6.94e-01 9.8 9.06e-01 2.62e-03h 1\n", + " 71r 0.0000000e+00 1.18e+02 1.57e+10 2.1 7.62e-01 9.3 3.10e-01 3.42e-02h 1\n", + " 72r 0.0000000e+00 1.18e+02 1.53e+10 2.1 1.07e+00 9.7 1.00e+00 2.64e-02h 1\n", + " 73r 0.0000000e+00 1.18e+02 6.33e+10 2.1 1.05e+00 9.3 2.65e-01 2.27e-01h 1\n", + " 74r 0.0000000e+00 1.18e+02 6.32e+10 2.1 9.86e-01 9.7 3.20e-01 1.81e-03h 1\n", + " 75r 0.0000000e+00 1.18e+02 6.30e+10 2.1 1.13e+00 9.2 7.97e-01 3.20e-03h 1\n", + " 76r 0.0000000e+00 1.18e+02 2.03e+11 2.1 1.13e+00 9.6 2.32e-01 4.25e-01h 1\n", + " 77r 0.0000000e+00 1.18e+02 1.74e+10 2.1 9.44e-01 9.2 6.09e-01 1.00e+00f 1\n", + " 78r 0.0000000e+00 1.18e+02 1.43e+10 2.1 1.06e-01 9.6 7.46e-01 9.70e-01f 1\n", + " 79r 0.0000000e+00 1.18e+02 3.85e+09 2.1 5.72e-02 9.1 2.97e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 1.18e+02 2.81e+08 2.1 7.25e-03 8.6 9.81e-01 1.00e+00f 1\n", + " 81r 0.0000000e+00 1.18e+02 6.36e+05 2.1 1.01e-03 8.1 9.94e-01 1.00e+00f 1\n", + " 82r 0.0000000e+00 1.18e+02 2.53e+05 2.1 5.42e-03 7.7 1.00e+00 1.00e+00f 1\n", + " 83r 0.0000000e+00 1.18e+02 3.07e+04 2.1 1.98e-03 7.2 1.00e+00 1.00e+00f 1\n", + " 84r 0.0000000e+00 1.18e+02 1.99e+04 2.1 3.85e-03 6.7 1.00e+00 1.00e+00f 1\n", + " 85r 0.0000000e+00 1.18e+02 8.16e+03 2.1 4.72e-03 6.2 1.00e+00 1.00e+00f 1\n", + " 86r 0.0000000e+00 1.18e+02 5.14e+03 2.1 8.92e-03 5.8 1.00e+00 1.00e+00f 1\n", + " 87r 0.0000000e+00 1.18e+02 1.05e+03 1.4 5.45e-03 5.3 1.00e+00 1.00e+00f 1\n", + " 88r 0.0000000e+00 1.18e+02 1.02e+03 1.4 1.60e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 89r 0.0000000e+00 1.18e+02 1.06e+03 1.4 4.95e-02 4.3 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 1.18e+02 5.37e+03 1.4 2.07e-01 3.9 1.00e+00 8.16e-01f 1\n", + " 91r 0.0000000e+00 1.18e+02 5.34e+03 1.4 5.87e-02 5.2 1.00e+00 6.18e-01f 1\n", + " 92r 0.0000000e+00 1.18e+02 8.66e+03 1.4 5.72e-02 4.7 1.00e+00 1.00e+00f 1\n", + " 93r 0.0000000e+00 1.17e+02 2.17e+04 1.4 1.04e-01 4.2 1.00e+00 1.00e+00f 1\n", + " 94r 0.0000000e+00 1.17e+02 6.56e+04 1.4 4.99e-02 5.6 1.00e+00 8.02e-01f 1\n", + " 95r 0.0000000e+00 1.17e+02 3.06e+04 1.4 3.19e-02 6.0 1.00e+00 1.00e+00f 1\n", + " 96r 0.0000000e+00 1.17e+02 9.63e+02 1.4 3.02e-03 5.5 1.00e+00 1.00e+00f 1\n", + " 97r 0.0000000e+00 1.17e+02 9.97e+02 0.7 9.36e-03 5.0 1.00e+00 1.00e+00f 1\n", + " 98r 0.0000000e+00 1.17e+02 1.01e+03 0.7 2.84e-02 4.6 1.00e+00 1.00e+00f 1\n", + " 99r 0.0000000e+00 1.17e+02 1.01e+03 0.7 8.60e-02 4.1 1.00e+00 5.73e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 1.17e+02 1.66e+03 0.7 2.50e-01 3.6 6.44e-01 3.04e-01f 1\n", + " 101r 0.0000000e+00 1.17e+02 1.52e+03 0.7 9.40e-02 4.0 1.00e+00 4.96e-01f 1\n", + " 102r 0.0000000e+00 1.17e+02 1.75e+03 0.7 4.65e-01 3.5 6.09e-01 1.84e-01f 1\n", + " 103r 0.0000000e+00 1.17e+02 9.90e+02 0.7 1.11e-01 4.0 1.00e+00 5.80e-01f 1\n", + " 104r 0.0000000e+00 1.17e+02 9.84e+02 0.7 3.24e-01 3.5 1.00e+00 3.08e-01f 1\n", + " 105r 0.0000000e+00 1.17e+02 1.17e+03 0.7 9.64e-01 3.0 9.71e-01 2.45e-01f 1\n", + " 106r 0.0000000e+00 1.17e+02 1.10e+03 0.7 3.51e-01 3.4 1.00e+00 3.65e-01f 1\n", + " 107r 0.0000000e+00 1.17e+02 2.03e+04 0.7 1.87e+00 3.0 8.89e-01 2.82e-01f 1\n", + " 108r 0.0000000e+00 1.17e+02 1.50e+04 0.7 4.55e-01 3.4 1.00e+00 2.47e-01f 1\n", + " 109r 0.0000000e+00 1.17e+02 2.14e+04 0.7 3.02e+00 2.9 6.32e-01 2.87e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 1.17e+02 1.41e+04 0.7 6.33e-01 3.3 1.00e+00 2.10e-01f 1\n", + " 111r 0.0000000e+00 1.17e+02 2.61e+03 0.7 3.31e-01 3.8 1.00e+00 1.00e+00f 1\n", + " 112r 0.0000000e+00 1.17e+02 2.20e+03 0.7 5.27e-01 3.3 1.00e+00 3.37e-01f 1\n", + " 113r 0.0000000e+00 1.16e+02 6.47e+04 0.7 2.32e-01 3.7 1.00e+00 7.33e-01f 1\n", + " 114r 0.0000000e+00 1.16e+02 6.53e+04 0.7 5.55e-01 4.1 1.26e-01 1.46e-01f 1\n", + " 115r 0.0000000e+00 1.16e+02 1.91e+05 0.7 2.51e-01 4.6 4.30e-01 4.98e-01f 1\n", + " 116r 0.0000000e+00 1.16e+02 1.49e+05 0.7 9.37e-01 4.1 2.97e-01 1.05e-01f 1\n", + " 117r 0.0000000e+00 1.16e+02 1.23e+05 0.7 2.50e-01 3.6 1.00e+00 1.51e-01f 1\n", + " 118r 0.0000000e+00 1.16e+02 5.76e+04 0.7 7.62e-01 3.1 1.00e+00 4.80e-01f 1\n", + " 119r 0.0000000e+00 1.16e+02 4.77e+04 0.7 1.35e-01 3.6 8.49e-01 1.68e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 1.16e+02 3.35e+03 0.7 8.27e-02 4.0 1.00e+00 1.00e+00f 1\n", + " 121r 0.0000000e+00 1.16e+02 1.28e+03 0.7 1.52e-01 3.5 1.00e+00 5.96e-01f 1\n", + " 122r 0.0000000e+00 1.16e+02 4.92e+02 0.7 4.56e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 123r 0.0000000e+00 1.16e+02 3.15e+04 0.7 1.08e+01 2.6 4.51e-02 4.43e-02f 1\n", + " 124r 0.0000000e+00 1.14e+02 2.05e+04 0.7 4.07e+00 2.1 1.00e+00 4.12e-01f 1\n", + " 125r 0.0000000e+00 1.02e+02 7.25e+03 0.7 1.19e+01 1.6 1.00e+00 1.00e+00f 1\n", + " 126r 0.0000000e+00 6.89e+01 2.53e+03 0.7 3.31e+01 1.1 1.00e+00 1.00e+00f 1\n", + " 127r 0.0000000e+00 2.55e+01 1.52e+03 0.7 7.96e+01 0.6 1.00e+00 8.47e-01f 1\n", + " 128r 0.0000000e+00 1.39e+01 1.80e+03 0.7 4.80e-01 2.9 7.21e-01 5.86e-01f 1\n", + " 129r 0.0000000e+00 1.04e+01 1.79e+03 0.7 1.43e+00 2.4 5.90e-01 2.87e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 0.0000000e+00 8.01e+00 1.59e+03 0.7 4.16e+00 1.9 6.40e-01 2.11e-01f 1\n", + " 131r 0.0000000e+00 3.48e+00 1.49e+04 0.7 1.92e-01 3.3 5.26e-01 9.48e-01f 1\n", + " 132r 0.0000000e+00 3.13e+00 1.48e+04 0.7 1.31e+00 2.8 4.77e-01 1.05e-01h 1\n", + " 133r 0.0000000e+00 2.38e+00 7.30e+03 0.7 6.05e+00 2.3 2.52e-01 2.21e-01f 1\n", + " 134r 0.0000000e+00 2.38e+00 7.24e+03 0.7 6.97e-01 4.5 2.22e-02 3.55e-03h 1\n", + " 135r 0.0000000e+00 2.32e+00 6.52e+03 0.7 6.46e-01 5.0 2.11e-02 2.59e-02h 1\n", + " 136r 0.0000000e+00 2.21e+00 6.03e+03 0.7 5.78e-01 4.5 4.53e-02 4.54e-02h 3\n", + " 137r 0.0000000e+00 2.83e+00 5.13e+04 0.7 6.94e-01 4.0 2.99e-01 5.00e-01h 2\n", + " 138r 0.0000000e+00 2.51e+00 5.05e+04 0.7 3.52e-01 4.4 2.82e-02 1.52e-02H 1\n", + " 139r 0.0000000e+00 2.29e+00 4.72e+04 0.7 3.54e-01 4.9 1.27e-01 6.68e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 0.0000000e+00 9.33e-01 6.79e+04 0.7 7.21e-01 4.4 5.70e-02 8.54e-02h 2\n", + " 141r 0.0000000e+00 9.17e-01 1.18e+05 0.7 2.67e-01 5.7 1.00e+00 5.82e-02h 1\n", + " 142r 0.0000000e+00 1.80e+00 4.76e+04 0.7 2.58e-01 5.2 4.98e-01 1.00e+00H 1\n", + " 143r 0.0000000e+00 6.51e-01 9.20e+02 0.7 1.62e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 144r 0.0000000e+00 6.23e-01 5.50e+02 0.7 2.91e-02 4.3 1.00e+00 1.00e+00f 1\n", + " 145r 0.0000000e+00 5.45e-01 5.00e+02 0.7 7.94e-02 3.8 1.00e+00 1.00e+00f 1\n", + " 146r 0.0000000e+00 3.11e-01 4.97e+02 0.7 2.36e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 147r 0.0000000e+00 1.16e-01 4.88e+02 0.7 6.83e-01 2.8 1.00e+00 4.56e-01f 1\n", + " 148r 0.0000000e+00 3.65e-01 1.63e+02 0.7 8.57e-02 2.4 1.00e+00 1.00e+00f 1\n", + " 149r 0.0000000e+00 9.43e-01 5.23e+02 -0.0 1.09e+02 - 2.24e-01 5.24e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r 0.0000000e+00 1.33e+00 3.35e+02 -0.0 4.38e+01 - 8.67e-01 6.84e-01f 1\n", + " 151r 0.0000000e+00 5.18e+00 3.66e+02 -0.0 1.38e+01 - 7.69e-01 1.00e+00f 1\n", + " 152r 0.0000000e+00 1.98e+00 5.89e+01 -0.0 5.38e-01 - 1.00e+00 1.00e+00h 1\n", + " 153r 0.0000000e+00 1.21e+00 2.04e+02 -0.0 2.08e-01 - 1.00e+00 1.00e+00h 1\n", + " 154r 0.0000000e+00 1.35e-01 2.40e+01 -0.0 4.11e-02 1.9 1.00e+00 1.00e+00h 1\n", + " 155r 0.0000000e+00 1.76e+00 7.57e+02 -0.7 5.60e+01 - 2.84e-02 2.64e-02f 1\n", + " 156r 0.0000000e+00 8.74e-01 6.11e+02 -0.7 3.44e+01 - 8.05e-01 5.04e-01f 1\n", + " 157r 0.0000000e+00 1.08e+00 3.68e+02 -0.7 1.71e+01 - 2.20e-01 6.44e-01f 1\n", + " 158r 0.0000000e+00 7.99e-01 1.59e+02 -0.7 6.10e+00 - 2.10e-01 2.47e-01f 1\n", + " 159r 0.0000000e+00 4.42e-01 4.35e+02 -0.7 4.60e+00 - 1.00e+00 4.34e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r 0.0000000e+00 3.28e-01 2.30e+02 -0.7 2.61e+00 - 1.00e+00 1.00e+00f 1\n", + " 161r 0.0000000e+00 9.81e-02 2.32e+02 -0.7 8.41e-02 - 1.00e+00 1.00e+00f 1\n", + " 162r 0.0000000e+00 9.81e-02 7.79e+01 -0.7 2.21e-02 - 1.00e+00 1.00e+00f 1\n", + " 163r 0.0000000e+00 9.81e-02 5.64e+01 -0.7 1.66e-02 - 1.00e+00 5.00e-01f 2\n", + " 164r 0.0000000e+00 9.80e-02 3.03e+01 -0.7 6.89e-03 - 1.00e+00 1.00e+00f 1\n", + " 165r 0.0000000e+00 9.80e-02 1.15e+01 -0.7 4.24e-03 - 1.00e+00 1.00e+00f 1\n", + " 166r 0.0000000e+00 9.80e-02 5.52e-01 -0.7 7.98e-04 - 1.00e+00 1.00e+00f 1\n", + " 167r 0.0000000e+00 3.63e-01 4.92e+02 -2.1 1.35e+00 - 6.33e-01 1.98e-01f 1\n", + " 168r 0.0000000e+00 4.04e-01 3.72e+02 -2.1 2.49e+02 - 2.33e-01 2.46e-01f 1\n", + " 169r 0.0000000e+00 4.36e-01 5.96e+02 -2.1 1.86e+02 - 9.00e-01 1.66e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r 0.0000000e+00 4.30e-01 4.71e+02 -2.1 1.62e+01 - 8.64e-01 1.52e-02f 1\n", + " 171r 0.0000000e+00 7.42e-01 1.56e+02 -2.1 9.37e-01 - 9.42e-01 6.71e-01f 1\n", + " 172r 0.0000000e+00 7.11e-01 1.30e+02 -2.1 6.70e-01 - 1.00e+00 3.79e-01f 1\n", + " 173r 0.0000000e+00 5.38e-01 7.88e+01 -2.1 4.66e-01 - 7.51e-01 5.68e-01f 1\n", + " 174r 0.0000000e+00 4.63e-01 1.27e+02 -2.1 4.30e-01 - 3.60e-01 1.83e-01f 1\n", + " 175r 0.0000000e+00 3.66e-01 1.39e+02 -2.1 4.07e-01 - 2.02e-01 4.46e-01f 1\n", + " 176r 0.0000000e+00 2.79e-01 7.79e+01 -2.1 3.42e-01 - 4.77e-01 4.41e-01f 1\n", + " 177r 0.0000000e+00 2.46e-01 1.89e+02 -2.1 2.97e-01 - 2.93e-01 1.36e-01f 1\n", + " 178r 0.0000000e+00 1.78e-01 1.01e+02 -2.1 2.86e-01 - 4.68e-01 4.63e-01f 1\n", + " 179r 0.0000000e+00 1.74e-01 9.93e+01 -2.1 5.50e-01 - 3.64e-02 2.36e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r 0.0000000e+00 1.44e-01 7.27e+01 -2.1 2.62e-01 - 2.28e-01 2.62e-01f 1\n", + " 181r 0.0000000e+00 1.26e-01 7.26e+01 -2.1 2.47e-01 - 2.18e-01 1.61e-01f 1\n", + " 182r 0.0000000e+00 1.04e-01 1.25e+02 -2.1 2.34e-01 - 1.60e-01 2.83e-01f 1\n", + " 183r 0.0000000e+00 8.08e-02 1.70e+02 -2.1 4.63e-02 2.3 1.46e-01 2.25e-01f 1\n", + " 184r 0.0000000e+00 4.75e-02 2.99e+02 -2.1 3.16e-02 1.8 2.11e-01 4.12e-01f 1\n" ] }, { - "ename": "KeyError", - "evalue": "\"Index '(0, 0)' is not valid for indexed component 'FCO2'\"", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_12151/4242773282.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mif_s\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m result = doe_object.compute_FIM(exp1, mode=sensi_opt, FIM_store_name = 'fixed_bed.csv',\n\u001b[0m\u001b[1;32m 8\u001b[0m scale_nominal_param_value = if_s, formula='central')\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/pyomo/pyomo/contrib/doe/fim_doe.py\u001b[0m in \u001b[0;36mcompute_FIM\u001b[0;34m(self, design_values, mode, FIM_store_name, specified_prior, tee_opt, scale_nominal_param_value, scale_constant_value, formula, step, if_Cholesky, L_LB, L_initial)\u001b[0m\n\u001b[1;32m 355\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mj\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmeasurement_variables\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 356\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mt\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmeasurement_timeset\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 357\u001b[0;31m \u001b[0mC_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0meval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'mod.'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mj\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m'[0,'\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m']'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 358\u001b[0m \u001b[0moutput_combine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mC_value\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 359\u001b[0m \u001b[0moutput_record\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mno_s\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moutput_combine\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/pyomo/pyomo/contrib/doe/fim_doe.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/core/base/indexed_component.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, index)\u001b[0m\n\u001b[1;32m 509\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mEXPR\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGetItemExpression\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 510\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 511\u001b[0;31m \u001b[0mvalidated_index\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 512\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mvalidated_index\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 513\u001b[0m \u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalidated_index\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/core/base/indexed_component.py\u001b[0m in \u001b[0;36m_validate_index\u001b[0;34m(self, idx)\u001b[0m\n\u001b[1;32m 734\u001b[0m \u001b[0;31m# Raise an exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 735\u001b[0m \u001b[0;31m#\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 736\u001b[0;31m raise KeyError(\n\u001b[0m\u001b[1;32m 737\u001b[0m \u001b[0;34m\"Index '%s' is not valid for indexed component '%s'\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 738\u001b[0m % ( idx, self.name, ))\n", - "\u001b[0;31mKeyError\u001b[0m: \"Index '(0, 0)' is not valid for indexed component 'FCO2'\"" + "name": "stdout", + "output_type": "stream", + "text": [ + " 185r 0.0000000e+00 3.13e-02 2.07e+02 -2.1 1.60e-01 1.4 2.36e-01 3.45e-01f 1\n", + " 186r 0.0000000e+00 3.10e-02 2.04e+02 -2.1 1.29e+00 0.9 2.65e-02 9.96e-03f 1\n", + " 187r 0.0000000e+00 2.63e-02 2.92e+02 -2.1 1.15e-01 1.3 4.47e-01 1.51e-01f 1\n", + " 188r 0.0000000e+00 1.27e-02 2.44e+02 -2.1 3.27e-02 1.7 9.34e-01 5.22e-01f 1\n", + " 189r 0.0000000e+00 1.78e-02 2.48e+02 -2.1 1.33e+00 - 5.58e-02 3.13e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r 0.0000000e+00 1.83e-02 2.66e+02 -2.1 1.07e+00 - 2.85e-02 1.73e-02f 1\n", + " 191r 0.0000000e+00 1.87e-02 2.58e+02 -2.1 6.99e+00 - 3.66e-03 5.23e-03f 1\n", + " 192r 0.0000000e+00 2.58e-02 5.34e+02 -2.1 7.62e-01 - 1.97e-01 6.84e-02f 1\n", + " 193r 0.0000000e+00 3.42e-02 4.53e+02 -2.1 4.14e-01 - 1.51e-01 1.52e-01f 1\n", + " 194r 0.0000000e+00 3.40e-02 4.46e+02 -2.1 1.99e+00 - 1.53e-02 1.24e-02f 1\n", + " 195r 0.0000000e+00 3.39e-02 4.42e+02 -2.1 2.54e+00 - 1.03e-02 1.22e-02f 1\n", + " 196r 0.0000000e+00 3.91e-02 7.52e+02 -2.1 3.23e-01 - 8.25e-02 1.87e-01f 1\n", + " 197r 0.0000000e+00 3.74e-02 6.70e+02 -2.1 2.53e-01 - 1.58e-01 1.19e-01f 1\n", + " 198r 0.0000000e+00 1.14e-02 4.17e+02 -2.1 3.30e-02 1.3 3.01e-01 7.12e-01f 1\n", + " 199r 0.0000000e+00 1.19e-02 4.13e+02 -2.1 6.05e+00 - 6.87e-03 8.40e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200r 0.0000000e+00 1.72e-02 3.86e+02 -2.1 4.34e-01 - 1.57e-01 9.72e-02f 1\n", + " 201r 0.0000000e+00 1.76e-02 3.80e+02 -2.1 3.45e+00 - 1.62e-02 1.45e-02f 1\n", + " 202r 0.0000000e+00 1.97e-02 3.52e+02 -2.1 3.25e-01 - 1.72e-01 1.03e-01f 1\n", + " 203r 0.0000000e+00 2.29e-02 2.96e+02 -2.1 3.73e-01 - 1.10e-01 1.47e-01f 1\n", + " 204r 0.0000000e+00 2.39e-02 2.76e+02 -2.1 6.83e-01 - 6.91e-02 6.77e-02f 1\n", + " 205r 0.0000000e+00 2.45e-02 2.53e+02 -2.1 3.30e-01 - 1.52e-01 9.69e-02f 1\n", + " 206r 0.0000000e+00 5.75e-03 1.21e+02 -2.1 4.91e-02 0.8 7.99e-01 1.00e+00f 1\n", + " 207r 0.0000000e+00 9.44e-03 1.17e+02 -2.1 1.71e+00 - 4.50e-02 4.22e-02f 1\n", + " 208r 0.0000000e+00 1.49e-02 2.64e+02 -2.1 1.76e-01 - 4.90e-01 2.98e-01f 1\n", + " 209r 0.0000000e+00 1.21e-02 4.71e+01 -2.1 6.50e-02 - 1.00e+00 8.69e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 210r 0.0000000e+00 1.54e-04 6.60e-02 -2.1 8.64e-03 - 1.00e+00 1.00e+00f 1\n", + " 211r 0.0000000e+00 8.32e-03 2.66e+02 -3.1 1.70e-01 - 1.00e+00 3.16e-01f 1\n", + " 212r 0.0000000e+00 7.07e-03 3.18e+02 -3.1 6.47e-02 - 1.00e+00 4.06e-01f 1\n", + " 213r 0.0000000e+00 2.07e-03 9.43e+01 -3.1 1.83e-02 - 1.00e+00 8.19e-01f 1\n", + " 214r 0.0000000e+00 7.20e-06 3.92e-02 -3.1 1.26e-03 - 1.00e+00 1.00e+00f 1\n", + " 215r 0.0000000e+00 1.23e-06 3.92e-04 -3.1 3.56e-05 - 1.00e+00 1.00e+00h 1\n", + " 216r 0.0000000e+00 4.09e-06 4.25e+01 -7.1 1.48e-03 - 1.00e+00 7.80e-01f 1\n", + " 217r 0.0000000e+00 1.50e-06 9.53e+01 -7.1 1.69e-04 - 8.95e-01 6.42e-01f 1\n", + " 218r 0.0000000e+00 5.34e-07 9.11e+01 -7.1 1.32e-04 - 8.86e-01 6.58e-01f 1\n", + " 219r 0.0000000e+00 1.86e-07 9.20e+01 -7.1 4.81e-05 - 8.89e-01 6.57e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 220r 0.0000000e+00 6.27e-08 9.06e+01 -7.1 1.66e-05 - 8.94e-01 6.65e-01f 1\n", + " 221r 0.0000000e+00 1.96e-08 8.59e+01 -7.1 5.57e-06 - 9.09e-01 6.89e-01f 1\n", + " 222r 0.0000000e+00 4.59e-09 7.01e+01 -7.1 1.74e-06 - 9.55e-01 7.65e-01f 1\n", + "\n", + "Number of Iterations....: 222\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.9741267815058468e-09 4.5940247161979642e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.9741267815058468e-09 4.5940247161979642e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 239\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 239\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 224\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 222\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 25.428\n", + "Total CPU secs in NLP function evaluations = 10.980\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [0.000199428298248, 8.160547094003771e-05, 8.069649505447378e-05, 8.060166108515925e-05, 8.057984272852503e-05, 8.065787937684632e-05, 8.087827234107643e-05, 8.131340758295783e-05, 8.20815688574739e-05, 8.334434752211531e-05, 8.539285827429546e-05, 8.859174871842239e-05, 9.360601841983494e-05, 0.00010127782988591431, 0.00011301092460419748, 0.0001307828000618434, 0.00015728135828399053, 0.00019707162156057005, 0.0002547792120555355, 0.0003402757335667687, 0.0004610756057823747, 0.0006362307622495009, 0.0008792664618905705, 0.0012211453264872824, 0.0016927260112450527, 0.002331773203454743, 0.003217265218328631, 0.0043710928880343405, 0.005979258929274563, 0.00800837982408047, 0.010816592387350712, 0.014298942215562646, 0.01901629640302959, 0.024047549026016662, 0.02883129665831667, 0.03321098616632046, 0.03716272337492389, 0.04070145579248538, 0.043855052535026064, 0.046655645288881484, 0.04913606880381089, 0.05132818749323189, 0.05326206770971535, 0.0549655849540957, 0.05646427456041917, 0.057781324629007626, 0.05893765277264198, 0.059952030971688636, 0.06084123598119429, 0.06162021081401265, 0.06230222800259115, 0.06289904875240838, 0.06342107438306864, 0.06387748799324938, 0.06427638532489933, 0.06462489449799835, 0.06492928474550932, 0.06519506457119746, 0.0654270699309776, 0.06562954313664959, 0.06580620322422709, 0.06596030853526802, 0.06609471224126469, 0.0662119115071854, 0.0663140909469982, 0.06640316097586925, 0.06648079161378631, 0.06654844224569662, 0.06660738779561366]\n", + "This scenario: {'fitted_transport_coefficient': {0: 209.88}, 'ua': {0: 15.424948470398375}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.0987999999999998, 'ua': 0.15424948470398375}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "Parameters: 209.88 , 15.424948470398375\n", + "temp_feed is fixed at 313.15\n", + "temp_bath is fixed at 313.15\n", + "yfeed is fixed at 0.15\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 1.07e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reallocating memory for MA57: lfact (2559598)\n", + " 1 0.0000000e+00 1.07e+02 2.56e+02 -1.0 1.07e+02 - 7.48e-01 2.98e-03h 1\n", + " 2 0.0000000e+00 1.07e+02 2.46e+06 -1.0 1.07e+02 - 2.89e-01 2.98e-05h 1\n", + " 3r 0.0000000e+00 1.07e+02 1.00e+03 2.0 0.00e+00 - 0.00e+00 1.49e-07R 2\n", + " 4r 0.0000000e+00 1.05e+02 2.78e+04 2.0 1.32e+02 - 1.52e-02 1.90e-02f 1\n", + " 5r 0.0000000e+00 9.66e+03 5.85e+05 2.0 1.31e+02 - 1.32e-01 5.64e-02f 1\n", + " 6r 0.0000000e+00 6.37e+03 3.30e+06 2.0 3.30e-01 6.0 3.23e-01 3.97e-01f 1\n", + " 7r 0.0000000e+00 6.30e+03 3.25e+06 2.0 4.25e-01 6.4 2.72e-01 1.22e-02h 1\n", + " 8r 0.0000000e+00 5.20e+03 2.96e+06 2.0 4.28e-01 5.9 1.00e+00 1.87e-01f 1\n", + " 9r 0.0000000e+00 4.03e+03 3.13e+06 2.0 7.71e-01 5.5 1.99e-01 2.48e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 2.76e+03 6.33e+06 2.0 4.45e-01 5.9 3.80e-01 3.64e-01h 1\n", + " 11r 0.0000000e+00 2.66e+03 6.16e+06 2.0 4.91e-01 6.3 2.09e-01 3.52e-02h 1\n", + " 12r 0.0000000e+00 2.25e+03 5.48e+06 2.0 4.92e-01 5.8 4.07e-01 1.63e-01h 1\n", + " 13r 0.0000000e+00 2.08e+03 5.19e+06 2.0 4.36e-01 6.3 5.75e-01 7.86e-02h 1\n", + " 14r 0.0000000e+00 1.66e+03 4.53e+06 2.0 4.71e-01 5.8 4.80e-01 2.20e-01h 1\n", + " 15r 0.0000000e+00 1.44e+03 5.03e+06 2.0 4.11e-01 6.2 7.26e-01 1.42e-01h 1\n", + " 16r 0.0000000e+00 1.41e+03 5.03e+06 2.0 4.35e-01 6.6 1.00e+00 1.75e-02h 1\n", + " 17r 0.0000000e+00 1.09e+03 7.70e+06 2.0 4.98e-01 6.2 4.33e-01 2.54e-01h 1\n", + " 18r 0.0000000e+00 8.32e+02 6.48e+06 2.0 6.00e-01 5.7 9.63e-02 2.60e-01f 1\n", + " 19r 0.0000000e+00 8.23e+02 6.41e+06 2.0 4.85e-01 6.1 3.14e-01 1.09e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 6.14e+02 5.28e+06 2.0 5.39e-01 5.6 7.63e-01 2.84e-01f 1\n", + " 21r 0.0000000e+00 6.02e+02 5.18e+06 2.0 5.30e-01 6.1 5.39e-01 1.94e-02h 1\n", + " 22r 0.0000000e+00 3.36e+02 4.89e+06 2.0 5.80e-01 5.6 3.00e-01 5.47e-01f 1\n", + " 23r 0.0000000e+00 2.82e+02 4.30e+06 2.0 7.56e-01 5.1 2.50e-01 1.72e-01f 1\n", + " 24r 0.0000000e+00 2.74e+02 4.20e+06 2.0 7.46e-01 5.5 3.59e-01 2.83e-02h 1\n", + " 25r 0.0000000e+00 2.15e+02 3.53e+06 2.0 8.03e-01 5.1 8.04e-01 2.37e-01f 1\n", + " 26r 0.0000000e+00 1.68e+02 3.30e+06 2.0 6.68e-01 5.5 4.36e-01 2.41e-01f 1\n", + " 27r 0.0000000e+00 9.95e+01 2.02e+06 2.0 6.74e-01 5.0 7.39e-01 1.00e+00f 1\n", + " 28r 0.0000000e+00 9.95e+01 1.84e+06 2.0 7.90e-01 5.4 1.39e-01 9.12e-02h 1\n", + " 29r 0.0000000e+00 9.95e+01 1.82e+06 2.0 8.01e-01 5.9 3.16e-01 1.12e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 9.95e+01 1.61e+06 2.0 8.87e-01 5.4 3.78e-01 1.24e-01h 1\n", + " 31r 0.0000000e+00 9.95e+01 1.54e+06 2.0 9.42e-01 5.8 4.39e-01 4.45e-02h 1\n", + " 32r 0.0000000e+00 9.95e+01 3.54e+06 2.0 9.75e-01 5.3 5.62e-01 4.89e-01f 1\n", + " 33r 0.0000000e+00 9.95e+01 4.05e+06 2.0 6.06e-01 5.8 5.55e-01 2.34e-01h 1\n", + " 34r 0.0000000e+00 9.95e+01 4.14e+06 2.0 6.42e-01 5.3 2.42e-01 8.44e-02h 1\n", + " 35r 0.0000000e+00 9.95e+01 3.57e+06 2.0 1.20e+00 4.8 8.58e-01 2.07e-01f 1\n", + " 36r 0.0000000e+00 9.95e+01 3.75e+06 2.0 7.94e-01 5.2 3.43e-01 1.76e-01f 1\n", + " 37r 0.0000000e+00 9.95e+01 2.89e+06 2.0 9.73e-01 4.8 4.31e-01 2.37e-01f 1\n", + " 38r 0.0000000e+00 9.95e+01 2.50e+06 2.0 7.89e-01 5.2 5.41e-01 2.09e-01f 1\n", + " 39r 0.0000000e+00 9.95e+01 1.86e+06 2.0 9.86e-01 4.7 3.79e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 9.95e+01 1.30e+06 2.0 1.16e-01 6.0 7.90e-01 3.81e-01h 1\n", + " 41r 0.0000000e+00 9.95e+01 1.82e+05 2.0 9.20e-02 5.6 1.00e+00 1.00e+00f 1\n", + " 42r 0.0000000e+00 9.95e+01 5.11e+04 2.0 1.88e-02 5.1 1.00e+00 1.00e+00f 1\n", + " 43r 0.0000000e+00 9.94e+01 5.19e+03 2.0 3.43e-02 4.6 1.00e+00 1.00e+00f 1\n", + " 44r 0.0000000e+00 9.94e+01 1.17e+04 1.3 1.38e-01 4.1 9.04e-01 1.00e+00f 1\n", + " 45r 0.0000000e+00 9.94e+01 2.55e+04 1.3 5.11e-02 5.5 1.00e+00 1.00e+00f 1\n", + " 46r 0.0000000e+00 9.94e+01 5.83e+06 1.3 3.65e+00 5.0 2.08e-02 3.70e-02f 1\n", + " 47r 0.0000000e+00 9.94e+01 5.95e+06 1.3 4.63e-02 8.1 1.00e+00 1.00e+00f 1\n", + " 48r 0.0000000e+00 9.94e+01 2.27e+06 1.3 1.47e-02 7.6 3.37e-01 1.00e+00f 1\n", + " 49r 0.0000000e+00 9.94e+01 2.21e+05 1.3 5.65e-03 7.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 9.94e+01 3.59e+03 1.3 8.23e-04 6.7 1.00e+00 1.00e+00f 1\n", + " 51r 0.0000000e+00 9.94e+01 9.82e+02 1.3 6.14e-04 6.2 1.00e+00 1.00e+00f 1\n", + " 52r 0.0000000e+00 9.94e+01 9.82e+02 1.3 1.84e-03 5.7 1.00e+00 1.00e+00f 1\n", + " 53r 0.0000000e+00 9.94e+01 9.82e+02 1.3 5.53e-03 5.2 1.00e+00 1.00e+00f 1\n", + " 54r 0.0000000e+00 9.94e+01 9.82e+02 1.3 1.66e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 55r 0.0000000e+00 9.94e+01 9.78e+02 1.3 4.96e-02 4.3 1.00e+00 1.00e+00f 1\n", + " 56r 0.0000000e+00 9.93e+01 2.91e+03 1.3 1.46e-01 3.8 1.00e+00 9.75e-01f 1\n", + " 57r 0.0000000e+00 9.93e+01 3.85e+03 1.3 5.70e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 58r 0.0000000e+00 9.92e+01 2.70e+04 1.3 2.08e-01 3.8 9.26e-01 7.48e-01f 1\n", + " 59r 0.0000000e+00 9.92e+01 5.27e+04 1.3 3.05e-02 6.0 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 9.92e+01 5.84e+04 1.3 1.83e-02 5.5 1.00e+00 1.00e+00f 1\n", + " 61r 0.0000000e+00 9.92e+01 1.43e+04 1.3 1.15e-02 5.0 1.00e+00 1.00e+00f 1\n", + " 62r 0.0000000e+00 9.92e+01 4.40e+03 1.3 2.61e-02 4.6 1.00e+00 1.00e+00f 1\n", + " 63r 0.0000000e+00 9.92e+01 3.28e+03 1.3 7.80e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 64r 0.0000000e+00 9.91e+01 1.50e+03 1.3 2.53e-01 3.6 1.00e+00 7.48e-01f 1\n", + " 65r 0.0000000e+00 9.91e+01 9.38e+02 1.3 8.57e-02 4.0 1.00e+00 1.00e+00f 1\n", + " 66r 0.0000000e+00 9.90e+01 9.44e+02 0.6 2.62e-01 3.6 1.00e+00 7.07e-01f 1\n", + " 67r 0.0000000e+00 9.89e+01 7.88e+02 0.6 6.48e-01 3.1 1.00e+00 2.68e-01f 1\n", + " 68r 0.0000000e+00 9.86e+01 5.21e+02 0.6 1.22e+00 2.6 1.00e+00 2.02e-01f 1\n", + " 69r 0.0000000e+00 9.79e+01 4.93e+02 0.6 3.63e+00 2.1 1.00e+00 1.96e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 9.29e+01 7.32e+02 0.6 1.07e+01 1.7 1.00e+00 4.67e-01f 1\n", + " 71r 0.0000000e+00 6.25e+01 1.36e+03 0.6 3.04e+01 1.2 1.00e+00 1.00e+00f 1\n", + " 72r 0.0000000e+00 6.15e+01 6.05e+02 0.6 1.42e+00 2.5 1.00e+00 6.96e-01f 1\n", + " 73r 0.0000000e+00 5.73e+01 8.45e+02 0.6 4.23e+00 2.0 1.00e+00 1.00e+00f 1\n", + " 74r 0.0000000e+00 5.14e+01 5.76e+02 0.6 1.23e+01 1.6 1.00e+00 4.77e-01f 1\n", + " 75r 0.0000000e+00 1.69e+01 4.10e+02 0.6 3.46e+01 1.1 1.00e+00 1.00e+00f 1\n", + " 76r 0.0000000e+00 1.16e+00 3.94e+02 0.6 8.25e+01 0.6 1.00e+00 1.92e-01f 1\n", + " 77r 0.0000000e+00 9.59e-01 3.90e+02 0.6 3.27e+01 1.0 1.00e+00 6.15e-03f 1\n", + " 78r 0.0000000e+00 8.02e-01 4.23e+02 0.6 1.92e+01 0.5 1.00e+00 4.97e-02f 1\n", + " 79r 0.0000000e+00 1.61e+03 2.23e+05 0.6 1.15e+01 0.1 2.12e-01 3.35e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 1.11e+03 1.53e+05 0.6 1.61e-01 4.1 4.53e-01 3.56e-01h 1\n", + " 81r 0.0000000e+00 8.46e+02 1.16e+05 0.6 3.06e-01 3.6 9.39e-02 2.63e-01f 1\n", + " 82r 0.0000000e+00 7.56e+02 1.04e+05 0.6 1.73e+00 3.2 2.68e-01 9.68e-02f 1\n", + " 83r 0.0000000e+00 4.67e+02 6.40e+04 0.6 3.25e-01 3.6 5.21e-01 4.55e-01h 1\n", + " 84r 0.0000000e+00 1.50e+02 5.01e+04 0.6 4.58e-01 3.1 9.22e-01 9.84e-01h 1\n", + " 85r 0.0000000e+00 1.39e+02 4.63e+04 0.6 1.26e+00 4.4 7.31e-02 7.82e-02h 1\n", + " 86r 0.0000000e+00 1.36e+02 4.52e+04 0.6 1.45e+00 4.0 1.04e-01 2.40e-02h 1\n", + " 87r 0.0000000e+00 8.76e+01 5.36e+05 0.6 1.02e+00 4.4 7.99e-02 4.19e-01h 1\n", + " 88r 0.0000000e+00 7.88e+01 4.66e+05 0.6 7.16e-01 3.9 4.08e-01 1.05e-01f 1\n", + " 89r 0.0000000e+00 7.15e+01 4.14e+05 0.6 1.53e-01 4.3 2.88e-01 9.62e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 5.76e+01 3.12e+05 0.6 2.43e-01 3.9 5.45e-01 2.13e-01f 1\n", + " 91r 0.0000000e+00 1.95e+01 1.19e+05 0.6 1.76e-01 4.3 3.21e-01 1.00e+00h 1\n", + " 92r 0.0000000e+00 1.12e+01 1.53e+05 0.6 4.83e-02 4.7 5.73e-01 5.54e-01h 1\n", + " 93r 0.0000000e+00 1.01e+01 9.69e+05 0.6 8.39e-01 5.1 1.96e-02 1.04e-01h 1\n", + " 94r 0.0000000e+00 5.84e+00 2.62e+06 0.6 9.70e-01 4.7 8.92e-02 5.38e-01h 1\n", + " 95r 0.0000000e+00 2.62e+00 1.26e+06 0.6 1.17e+00 4.2 1.00e+00 6.61e-01h 1\n", + " 96r 0.0000000e+00 9.95e-01 1.75e+06 0.6 6.69e-01 4.6 8.89e-01 1.00e+00f 1\n", + " 97r 0.0000000e+00 9.28e-01 5.37e+05 0.6 1.49e-01 4.1 1.00e+00 1.00e+00h 1\n", + " 98r 0.0000000e+00 8.68e-01 3.43e+05 0.6 2.96e-01 3.6 1.00e+00 3.50e-01f 1\n", + " 99r 0.0000000e+00 7.28e-01 2.04e+05 0.6 1.06e+00 3.2 1.00e+00 3.34e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 6.52e-01 1.89e+05 0.6 1.02e+00 2.7 1.00e+00 7.22e-02f 1\n", + " 101r 0.0000000e+00 1.77e-01 1.47e+05 0.6 2.78e+00 2.2 1.00e+00 2.23e-01f 1\n", + " 102r 0.0000000e+00 1.37e-01 1.05e+05 0.6 7.70e-02 2.6 1.00e+00 2.91e-01h 1\n", + " 103r 0.0000000e+00 3.95e+00 8.13e+04 0.6 7.02e-01 2.2 5.98e-01 2.24e-01f 1\n", + " 104r 0.0000000e+00 1.50e+00 6.22e+03 0.6 5.90e-02 2.6 1.00e+00 9.32e-01f 1\n", + " 105r 0.0000000e+00 2.97e+00 4.47e+03 0.6 5.90e-01 2.1 9.83e-01 2.85e-01f 1\n", + " 106r 0.0000000e+00 4.74e+00 9.13e+02 0.6 3.98e-01 1.6 1.00e+00 8.55e-01f 1\n", + " 107r 0.0000000e+00 3.85e+01 7.36e+03 0.6 2.16e-01 2.1 3.99e-01 1.00e+00f 1\n", + " 108r 0.0000000e+00 1.18e+01 2.57e+03 0.6 1.10e+00 3.4 3.75e-01 2.01e-01f 1\n", + " 109r 0.0000000e+00 1.14e+01 2.48e+03 0.6 3.20e-01 2.9 1.73e-01 3.33e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 2.93e+00 8.47e+02 0.6 1.05e-01 2.4 1.00e+00 1.00e+00f 1\n", + " 111r 0.0000000e+00 6.63e-01 3.25e+02 0.6 7.97e-02 2.9 1.00e+00 1.00e+00f 1\n", + " 112r 0.0000000e+00 2.80e+00 4.43e+02 0.6 7.37e-02 3.3 1.00e+00 1.00e+00f 1\n", + " 113r 0.0000000e+00 1.15e+01 2.34e+03 0.6 1.19e-01 2.8 1.00e+00 8.19e-01f 1\n", + " 114r 0.0000000e+00 3.29e+00 7.57e+02 0.6 6.98e-02 2.3 1.00e+00 1.00e+00f 1\n", + " 115r 0.0000000e+00 7.38e-01 3.88e+02 0.6 2.48e-01 1.9 1.00e+00 1.00e+00f 1\n", + " 116r 0.0000000e+00 7.42e-01 8.45e+02 0.6 4.09e-01 2.3 1.00e+00 2.93e-01H 1\n", + " 117r 0.0000000e+00 5.01e-02 6.09e+01 0.6 2.28e-01 1.8 1.00e+00 1.00e+00f 1\n", + " 118r 0.0000000e+00 1.02e+00 1.31e+03 -0.1 8.69e+01 - 2.79e-01 1.97e-01f 1\n", + " 119r 0.0000000e+00 1.05e+00 1.22e+03 -0.1 5.82e+01 - 6.01e-01 6.20e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 4.50e+00 3.53e+03 -0.1 2.18e+01 - 4.04e-01 7.17e-01f 1\n", + " 121r 0.0000000e+00 6.52e-01 7.74e+02 -0.1 8.73e-01 1.3 8.77e-01 1.00e+00f 1\n", + " 122r 0.0000000e+00 1.73e-01 3.19e+02 -0.1 1.42e-01 1.8 6.41e-01 1.00e+00f 1\n", + " 123r 0.0000000e+00 1.79e+00 1.29e+03 -0.1 6.16e+00 - 1.00e+00 8.87e-01f 1\n", + " 124r 0.0000000e+00 2.48e-01 9.92e+01 -0.1 6.97e-01 - 7.85e-01 1.00e+00f 1\n", + " 125r 0.0000000e+00 3.20e-01 6.82e+02 -0.1 6.68e-01 - 1.00e+00 1.00e+00f 1\n", + " 126r 0.0000000e+00 1.09e-01 7.54e+01 -0.1 1.65e-01 - 1.00e+00 1.00e+00h 1\n", + " 127r 0.0000000e+00 1.65e-01 1.55e+01 -0.1 3.24e-01 - 1.00e+00 1.00e+00f 1\n", + " 128r 0.0000000e+00 1.52e+00 3.64e+02 -0.8 2.09e+00 - 1.00e+00 4.42e-01f 1\n", + " 129r 0.0000000e+00 3.43e-01 1.66e+03 -0.8 9.19e-01 1.3 6.74e-01 6.54e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 0.0000000e+00 2.45e-01 9.46e+02 -0.8 3.71e+01 - 5.12e-01 2.83e-01f 1\n", + " 131r 0.0000000e+00 3.82e-01 3.07e+02 -0.8 2.66e+01 - 1.00e+00 6.84e-01f 1\n", + " 132r 0.0000000e+00 3.07e-01 2.48e+02 -0.8 8.39e+00 - 1.00e+00 1.00e+00f 1\n", + " 133r 0.0000000e+00 6.94e-02 2.03e+02 -0.8 1.06e-01 - 1.00e+00 1.00e+00f 1\n", + " 134r 0.0000000e+00 6.94e-02 1.34e+02 -0.8 1.54e-02 - 1.00e+00 1.00e+00f 1\n", + " 135r 0.0000000e+00 6.93e-02 9.15e+01 -0.8 1.10e-02 - 1.00e+00 1.00e+00f 1\n", + " 136r 0.0000000e+00 6.93e-02 6.93e+01 -0.8 1.14e-02 - 1.00e+00 1.00e+00f 1\n", + " 137r 0.0000000e+00 6.93e-02 4.69e+02 -0.8 1.13e-01 - 3.71e-01 1.89e-02f 5\n", + " 138r 0.0000000e+00 6.93e-02 1.27e+01 -0.8 3.35e-03 - 1.00e+00 1.00e+00f 1\n", + " 139r 0.0000000e+00 6.93e-02 9.30e-01 -0.8 3.10e-03 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 0.0000000e+00 5.06e-01 3.69e+02 -2.2 1.36e+00 - 8.94e-01 2.56e-01f 1\n", + " 141r 0.0000000e+00 5.37e-01 3.22e+02 -2.2 2.82e+02 - 9.60e-01 2.30e-01f 1\n", + " 142r 0.0000000e+00 5.35e-01 4.36e+02 -2.2 9.11e+01 - 9.04e-01 4.50e-03f 1\n", + " 143r 0.0000000e+00 6.28e-01 2.81e+02 -2.2 8.98e-01 - 9.75e-01 5.34e-01f 1\n", + " 144r 0.0000000e+00 7.12e-01 1.56e+02 -2.2 6.91e-01 - 7.81e-01 4.55e-01f 1\n", + " 145r 0.0000000e+00 5.51e-01 1.53e+02 -2.2 5.04e-01 - 9.25e-01 4.85e-01f 1\n", + " 146r 0.0000000e+00 4.81e-01 2.68e+02 -2.2 4.51e-01 - 6.20e-01 1.62e-01f 1\n", + " 147r 0.0000000e+00 3.89e-01 1.93e+02 -2.2 4.36e-01 - 1.77e-01 3.64e-01f 1\n", + " 148r 0.0000000e+00 3.42e-01 1.66e+02 -2.2 3.76e-01 - 1.04e-01 1.50e-01f 1\n", + " 149r 0.0000000e+00 2.64e-01 2.19e+02 -2.2 3.53e-01 - 1.00e+00 4.86e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r 0.0000000e+00 2.35e-01 2.60e+02 -2.2 3.06e-01 - 3.01e-01 1.28e-01f 1\n", + " 151r 0.0000000e+00 1.74e-01 2.02e+02 -2.2 1.25e-01 0.8 1.26e-01 2.66e-01f 1\n", + " 152r 0.0000000e+00 1.47e-01 2.86e+02 -2.2 3.20e-01 - 6.37e-01 2.10e-01f 1\n", + " 153r 0.0000000e+00 1.24e-01 2.39e+02 -2.2 2.97e-01 - 1.44e-01 2.13e-01f 1\n", + " 154r 0.0000000e+00 1.02e-01 2.02e+02 -2.2 4.33e-02 2.1 1.20e-01 1.74e-01f 1\n", + " 155r 0.0000000e+00 7.72e-02 2.20e+02 -2.2 7.27e-02 1.7 1.76e-01 2.47e-01f 1\n", + " 156r 0.0000000e+00 7.07e-02 2.00e+02 -2.2 3.90e-01 1.2 7.24e-02 8.52e-02f 1\n", + " 157r 0.0000000e+00 7.07e-02 2.00e+02 -2.2 2.39e+01 0.7 1.60e-04 3.08e-04f 1\n", + " 158r 0.0000000e+00 6.90e-02 1.97e+02 -2.2 5.12e-01 1.1 9.56e-04 2.43e-02f 1\n", + " 159r 0.0000000e+00 6.88e-02 1.98e+02 -2.2 3.42e+00 1.6 6.33e-05 2.81e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r 0.0000000e+00 6.79e-02 3.14e+02 -2.2 6.09e-01 2.0 3.24e-02 1.23e-02f 1\n", + " 161r 0.0000000e+00 5.28e-02 2.73e+02 -2.2 4.90e-02 1.5 3.39e-01 2.24e-01f 1\n", + " 162r 0.0000000e+00 4.43e-02 3.24e+02 -2.2 2.31e-01 1.0 4.09e-02 1.67e-01f 1\n", + " 163r 0.0000000e+00 2.87e-02 2.01e+02 -2.2 9.36e-02 1.4 2.47e-01 3.58e-01f 1\n", + " 164r 0.0000000e+00 2.71e-02 3.38e+02 -2.2 1.36e-01 1.0 1.98e-01 5.90e-02f 1\n", + " 165r 0.0000000e+00 2.50e-02 2.67e+02 -2.2 1.69e-01 0.5 2.08e-01 2.03e-01f 1\n", + " 166r 0.0000000e+00 4.70e-02 2.44e+02 -2.2 1.00e+00 - 8.70e-02 8.66e-02f 1\n", + " 167r 0.0000000e+00 2.89e-02 1.30e+02 -2.2 7.16e-02 0.9 5.10e-01 4.47e-01f 1\n", + " 168r 0.0000000e+00 2.67e-02 3.17e+02 -2.2 1.63e-01 0.4 4.06e-01 2.63e-01f 1\n", + " 169r 0.0000000e+00 2.98e-02 3.28e+02 -2.2 7.00e-01 - 1.11e-01 5.24e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r 0.0000000e+00 2.98e-02 3.26e+02 -2.2 3.85e+00 - 5.02e-03 6.91e-03f 1\n", + " 171r 0.0000000e+00 3.06e-02 3.26e+02 -2.2 6.76e-01 - 2.56e-02 4.27e-02f 1\n", + " 172r 0.0000000e+00 3.53e-02 4.19e+02 -2.2 4.46e-01 - 7.32e-02 1.09e-01f 1\n", + " 173r 0.0000000e+00 3.44e-02 6.86e+02 -2.2 9.11e-01 -0.0 1.87e-01 3.73e-02f 1\n", + " 174r 0.0000000e+00 3.36e-02 6.72e+02 -2.2 7.69e-01 - 2.26e-02 3.45e-02f 1\n", + " 175r 0.0000000e+00 3.31e-02 6.48e+02 -2.2 5.01e-01 - 3.20e-02 2.30e-02f 1\n", + " 176r 0.0000000e+00 3.29e-02 6.46e+02 -2.2 1.84e+00 - 1.32e-02 1.81e-02f 1\n", + " 177r 0.0000000e+00 3.26e-02 6.33e+02 -2.2 2.06e+00 -0.5 9.88e-03 1.52e-02f 1\n", + " 178r 0.0000000e+00 2.49e-02 4.91e+02 -2.2 6.87e-02 0.8 1.97e-01 2.67e-01f 1\n", + " 179r 0.0000000e+00 2.22e-02 3.54e+02 -2.2 1.48e-01 0.3 3.42e-01 2.03e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r 0.0000000e+00 2.78e-02 2.97e+02 -2.2 3.47e-01 - 1.70e-01 1.53e-01f 1\n", + " 181r 0.0000000e+00 2.75e-02 2.92e+02 -2.2 1.90e+00 -0.1 1.59e-02 1.57e-02f 1\n", + " 182r 0.0000000e+00 2.56e-02 2.60e+02 -2.2 3.73e-01 0.3 1.27e-01 9.25e-02f 1\n", + " 183r 0.0000000e+00 2.56e-02 2.56e+02 -2.2 2.08e+00 - 1.46e-02 2.03e-02f 1\n", + " 184r 0.0000000e+00 2.56e-02 2.53e+02 -2.2 1.44e+00 - 1.17e-02 9.37e-03f 1\n", + " 185r 0.0000000e+00 2.76e-02 2.33e+02 -2.2 4.57e-01 - 7.62e-02 8.33e-02f 1\n", + " 186r 0.0000000e+00 2.78e-02 2.12e+02 -2.2 3.37e-01 - 8.67e-02 9.05e-02f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 187r 0.0000000e+00 1.68e-02 1.67e+02 -2.2 8.19e-02 0.7 3.49e-01 5.29e-01f 1\n", + " 188r 0.0000000e+00 1.65e-02 1.66e+02 -2.2 4.67e-01 0.2 1.18e-01 8.20e-02f 1\n", + " 189r 0.0000000e+00 1.88e-02 1.65e+02 -2.2 6.15e-01 - 6.71e-02 5.14e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r 0.0000000e+00 1.30e-02 6.99e+01 -2.2 8.25e-02 0.7 7.12e-01 6.39e-01f 1\n", + " 191r 0.0000000e+00 1.54e-02 1.13e+02 -2.2 3.47e-01 - 1.19e-01 1.01e-01f 1\n", + " 192r 0.0000000e+00 2.12e-02 9.06e+01 -2.2 1.99e-01 - 2.59e-01 2.89e-01f 1\n", + " 193r 0.0000000e+00 1.76e-02 1.33e+02 -2.2 8.60e-02 - 1.00e+00 6.29e-01f 1\n", + " 194r 0.0000000e+00 1.04e-03 4.42e-01 -2.2 1.46e-02 - 1.00e+00 1.00e+00f 1\n", + " 195r 0.0000000e+00 5.43e-05 2.33e-02 -2.2 3.18e-04 - 1.00e+00 1.00e+00h 1\n", + " 196r 0.0000000e+00 3.22e-03 2.84e+02 -3.3 1.10e-01 - 1.00e+00 3.01e-01f 1\n", + " 197r 0.0000000e+00 2.96e-03 2.55e+02 -3.3 4.00e-02 - 1.00e+00 5.57e-01f 1\n", + " 198r 0.0000000e+00 1.84e-04 1.05e+01 -3.3 5.19e-03 - 1.00e+00 9.73e-01f 1\n", + " 199r 0.0000000e+00 8.68e-07 3.40e-02 -3.3 4.66e-04 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200r 0.0000000e+00 8.68e-07 5.17e-05 -3.3 2.51e-06 - 1.00e+00 1.00e+00h 1\n", + " 201r 0.0000000e+00 1.14e-06 4.28e+01 -7.4 7.78e-04 - 1.00e+00 7.79e-01f 1\n", + " 202r 0.0000000e+00 4.12e-07 9.53e+01 -7.4 6.67e-05 - 8.95e-01 6.43e-01f 1\n", + " 203r 0.0000000e+00 1.47e-07 9.15e+01 -7.4 6.76e-05 - 8.88e-01 6.59e-01f 1\n", + " 204r 0.0000000e+00 5.15e-08 9.23e+01 -7.4 2.48e-05 - 8.86e-01 6.55e-01f 1\n", + " 205r 0.0000000e+00 1.75e-08 9.12e+01 -7.4 8.64e-06 - 8.91e-01 6.61e-01f 1\n", + " 206r 0.0000000e+00 5.68e-09 8.79e+01 -7.4 2.93e-06 - 9.01e-01 6.77e-01f 1\n", + "\n", + "Number of Iterations....: 206\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.8066305293841266e-09 5.6844786655574353e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.8066305293841266e-09 5.6844786655574353e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 218\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 218\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 208\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 206\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 19.180\n", + "Total CPU secs in NLP function evaluations = 10.095\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [0.000199428298248, 8.160461853054377e-05, 8.069903111023094e-05, 8.059850659241142e-05, 8.056843519405762e-05, 8.063429816532612e-05, 8.083522535629358e-05, 8.124101510029053e-05, 8.196271534685579e-05, 8.315600083990191e-05, 8.509800145066994e-05, 8.813837289848663e-05, 9.291939312446912e-05, 0.00010024365172952447, 0.00011148839263700703, 0.00012853268143879514, 0.00015405373859420066, 0.0001924131715811993, 0.00024825472741597527, 0.0003311632701812995, 0.00044857338001695943, 0.0006194817070022358, 0.0008566507661983806, 0.0011921739685135423, 0.0016541139161693394, 0.0022841755765148418, 0.0031550823703121473, 0.004296069921439245, 0.005885577711554407, 0.00789511745807585, 0.010687468891531753, 0.014139529987408835, 0.018851408522226155, 0.023914243767404364, 0.028736776514726878, 0.033152236138036355, 0.03713452778347944, 0.040698417737219036, 0.04387216621844637, 0.046688472383860015, 0.0491807762032124, 0.05138152711850385, 0.053321330498030214, 0.055028544219663925, 0.05652912666295674, 0.0578466312446476, 0.05900228704986237, 0.060015128677597195, 0.06090215203873197, 0.06167848120972191, 0.062357536800397774, 0.06295119981659758, 0.06346996735250587, 0.06392309803254398, 0.06431874618935415, 0.06466408447644108, 0.0649654150809658, 0.06522826999895188, 0.06545750101374857, 0.0656573601154545, 0.065831571139879, 0.06598339340875269, 0.06611567813123878, 0.0662309182895076, 0.0663312926846775, 0.06641870476830543, 0.06649481683193598, 0.06656108007511813, 0.06661876102296055]\n", + "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.270698985694391}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15270698985694392}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "Parameters: 212 , 15.270698985694391\n", + "temp_feed is fixed at 313.15\n", + "temp_bath is fixed at 313.15\n", + "yfeed is fixed at 0.15\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 9.18e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (2563583)\n", + " 1 0.0000000e+00 9.15e+01 2.56e+02 -1.0 9.18e+01 - 7.48e-01 2.98e-03h 1\n", + " 2 0.0000000e+00 9.15e+01 2.46e+06 -1.0 9.15e+01 - 2.89e-01 2.98e-05h 1\n" ] } ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " measurement, t_measure, model_integrate,\n", - " prior_FIM=prior_pass, discretize_model=None, args=args_)\n", + " prior_FIM=prior_pass, discretize_model=None, args=args_, measurement_extra_index = [19])\n", "\n", "if_s = True \n", "\n", @@ -615,7 +1296,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8481d42e", + "id": "0828e2d5", "metadata": {}, "outputs": [], "source": [ @@ -625,7 +1306,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4518cb96", + "id": "0692e98b", "metadata": {}, "outputs": [], "source": [ @@ -640,7 +1321,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8c367c2c", + "id": "1339e2e7", "metadata": {}, "outputs": [], "source": [ @@ -650,7 +1331,7 @@ { "cell_type": "code", "execution_count": null, - "id": "76dc2318", + "id": "b9c26c75", "metadata": {}, "outputs": [], "source": [ @@ -660,7 +1341,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d6cb64ee", + "id": "d51423d0", "metadata": {}, "outputs": [], "source": [ @@ -768,7 +1449,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4cb84688", + "id": "0c53eaac", "metadata": {}, "outputs": [], "source": [] From 23032034e7f87450ed827db72ef674782c066600 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sat, 18 Sep 2021 15:02:30 -0400 Subject: [PATCH 33/42] Add functions so that we can choose to read measurements from pickle file and continue. Only for sequential_finite mode now, can consider to be applied to other modes after discussion. --- pyomo/contrib/doe/fim_doe.py | 180 ++-- pyomo/contrib/doe/fixed_bed_doe.ipynb | 1131 ++----------------------- 2 files changed, 177 insertions(+), 1134 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index cfeb456d498..81b999196df 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -37,6 +37,7 @@ def __init__(self, param_init, design_variable_timepoints, measurement_variables discretize_model: A user-specified function that deiscretizes the model. Only use with Pyomo.DAE, default=None verbose: if print statements are made args: Other arguments of the create_model function, in a list + measurement_extra_index: if measurement variables have extra index between scenario and time indexes. A dictionary, keys are the measurement names, values are a list of indexes. ''' # parameters @@ -211,7 +212,9 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=None, specified_prior=None, - tee_opt=True, scale_nominal_param_value=False, scale_constant_value=1, formula='central', step=0.01, + tee_opt=True, scale_nominal_param_value=False, scale_constant_value=1, + store_output = None, read_output=None, + formula='central', step=0.01, if_Cholesky=False, L_LB=1E-10, L_initial=None): ''' This function solves a square Pyomo model with fixed design variables to compute the FIM. @@ -313,80 +316,85 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No scena_gen = Scenario_generator(self.param_init, formula=self.formula, step=self.step) scena_gen.generate_sequential_para() - # dict for storing model outputs - output_record = {} - # dict for storing Jacobian - jac = {} - models = [] - time_allbuild = [] - time_allsolve = [] - # loop over each scenario - for no_s in (scena_gen.scena_keys): - - scenario_iter = scena_gen.next_sequential_scenario(no_s) - print('This scenario:', scenario_iter) - # create the model - # TODO:(long term) add options to create model once and then update. only try this after the - # package is completed and unitest is finished - time0_build = time.time() - mod = self.create_model(scenario_iter, self.args) - time1_build = time.time() - time_allbuild.append(time1_build-time0_build) + # if measurements are provided + if read_output is not None: + with open(read_output, 'rb') as f: + output_record = pickle.load(f) + f.close() + jac = self.__finite_calculation(output_record, scena_gen) + # if measurements are not provided + else: + # dict for storing model outputs + output_record = {} + # dict for storing Jacobian + models = [] + time_allbuild = [] + time_allsolve = [] + # loop over each scenario + for no_s in (scena_gen.scena_keys): + + scenario_iter = scena_gen.next_sequential_scenario(no_s) + print('This scenario:', scenario_iter) + # create the model + # TODO:(long term) add options to create model once and then update. only try this after the + # package is completed and unitest is finished + time0_build = time.time() + mod = self.create_model(scenario_iter, self.args) + time1_build = time.time() + time_allbuild.append(time1_build-time0_build) + + print('Parameters: ', value(mod.fitted_transport_coefficient[0]), ',', value(mod.ua[0])) + + # discretize if needed + if self.discretize_model is not None: + mod = self.discretize_model(mod) + + # extract (discretized) time + time_set = [] + for t in mod.t: + time_set.append(value(t)) + + # solve model + time0_solve = time.time() + square_result = self.__solve_doe(mod, fix=True) + time1_solve = time.time() + time_allsolve.append(time1_solve-time0_solve) + models.append(mod) + + # loop over measurement item and time to store model measurements + output_combine = [] + for j in self.measurement_variables: + if self.measurement_extra_index[j] is None: + for t in self.measurement_timeset: + C_value = eval('mod.' + j + '[0,' + str(t) + ']') + output_combine.append(value(C_value)) + else: + for ind in self.measurement_extra_index[j]: + for t in self.measurement_timeset: + C_value = eval('mod.' + j + '[0,' + str(ind) +',' + str(t) + ']') + output_combine.append(value(C_value)) + output_record[no_s] = output_combine - print('Parameters: ', value(mod.fitted_transport_coefficient[0]), ',', value(mod.ua[0])) + print('Output this time: ', output_record[no_s]) - # discretize if needed - if self.discretize_model is not None: - mod = self.discretize_model(mod) + if store_output is not None: + f = open(store_output, 'wb') + pickle.dump(output_record, f) + f.close() - # extract (discretized) time - time_set = [] - for t in mod.t: - time_set.append(value(t)) + # calculate jacobian + jac = self.__finite_calculation(output_record, scena_gen) - # solve model - time0_solve = time.time() - square_result = self.__solve_doe(mod, fix=True) - time1_solve = time.time() - time_allsolve.append(time1_solve-time0_solve) - models.append(mod) - # loop over measurement item and time to store model measurements - output_combine = [] - for j in self.measurement_variables: - for t in self.measurement_timeset: - if self.measurement_extra_index is None: - C_value = eval('mod.' + j + '[0,' + str(t) + ']') - output_combine.append(value(C_value)) - else: - for ind in self.measurement_extra_index: - C_value = eval('mod.' + j + '[0,' + str(ind) +',' + str(t) + ']') - output_combine.append(value(C_value)) - output_record[no_s] = output_combine + if self.verbose: + print('Build time with sequential_finite mode [s]:', sum(time_allbuild)) + print('Solve time with sequential_finite mode [s]:', sum(time_allsolve)) - print('Output this time: ', output_record[no_s]) + FIM_analysis.build_time = sum(time_allbuild) + FIM_analysis.solve_time = sum(time_allsolve) - - # After collecting outputs from all scenarios, calculate sensitivity - for para in self.param_name: - # extract involved scenario No. for each parameter from scenario class - involved_s = scena_gen.scenario_para[para] - # each parameter has two involved scenarios - s1 = involved_s[0] - s2 = involved_s[1] - list_jac = [] - for i in range(len(output_record[s1])): - if self.scale_nominal_param_value: - sensi = (output_record[s1][i] - output_record[s2][i]) / scena_gen.eps_abs[para] *self.param_init[para] *self.scale_constant_value - else: - sensi = (output_record[s1][i] - output_record[s2][i]) / scena_gen.eps_abs[para]*self.scale_constant_value - list_jac.append(sensi) - # get Jacobian dict, keys are parameter name, values are sensitivity info - jac[para] = list_jac - - if self.verbose: - print('Build time with sequential_finite mode [s]:', sum(time_allbuild)) - print('Solve time with sequential_finite mode [s]:', sum(time_allsolve)) + # return all models formed + self.models = models # Assemble and analyze results if specified_prior is None: @@ -397,11 +405,8 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) # Store the Jacobian information for access by users - self.models = models - self.jac = jac - FIM_analysis.build_time = sum(time_allbuild) - FIM_analysis.solve_time = sum(time_allsolve) + self.jac = jac return FIM_analysis @@ -663,6 +668,37 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No else: raise ValueError('This is not a valid mode. Choose from "sequential_finite", "simultaneous_finite", "sequential_sipopt", "sequential_kaug"') + def __finite_calculation(self, output_record, scena_gen): + '''Calculate Jacobian for sequential_finite mode + + Args: + output_record: output record + scena_gen: scena_gen generated + + Returns: + + ''' + jac = {} + # After collecting outputs from all scenarios, calculate sensitivity + for para in self.param_name: + # extract involved scenario No. for each parameter from scenario class + involved_s = scena_gen.scenario_para[para] + # each parameter has two involved scenarios + s1 = involved_s[0] + s2 = involved_s[1] + list_jac = [] + for i in range(len(output_record[s1])): + if self.scale_nominal_param_value: + sensi = (output_record[s1][i] - output_record[s2][i]) / scena_gen.eps_abs[para] * self.param_init[ + para] * self.scale_constant_value + else: + sensi = (output_record[s1][i] - output_record[s2][i]) / scena_gen.eps_abs[ + para] * self.scale_constant_value + list_jac.append(sensi) + # get Jacobian dict, keys are parameter name, values are sensitivity info + jac[para] = list_jac + + return jac def generate_sequential_experiments(self, design_values_set, mode='sequential_finite', tee_option=False, scale_nominal_param_value=False, scale_constant_value=1, diff --git a/pyomo/contrib/doe/fixed_bed_doe.ipynb b/pyomo/contrib/doe/fixed_bed_doe.ipynb index f5ebe182174..cdf93cc7683 100644 --- a/pyomo/contrib/doe/fixed_bed_doe.ipynb +++ b/pyomo/contrib/doe/fixed_bed_doe.ipynb @@ -3,7 +3,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "c7a825a3", + "id": "1235d6f1", "metadata": {}, "outputs": [ { @@ -33,7 +33,7 @@ }, { "cell_type": "markdown", - "id": "1d496a46", + "id": "98cbe3b8", "metadata": {}, "source": [ "## Define fixed bed model " @@ -42,7 +42,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "443de8ec", + "id": "56226e62", "metadata": {}, "outputs": [ { @@ -64,7 +64,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "141291f6", + "id": "500a53a5", "metadata": {}, "outputs": [], "source": [ @@ -114,7 +114,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "4d1874da", + "id": "1634d25f", "metadata": {}, "outputs": [], "source": [ @@ -136,7 +136,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "6066ae62", + "id": "081af22e", "metadata": {}, "outputs": [], "source": [ @@ -151,7 +151,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "82f23c71", + "id": "89b482a3", "metadata": {}, "outputs": [], "source": [ @@ -170,14 +170,16 @@ "#dv_pass = {'temp_feed': [0], 'temp_bath':[0], 'yfeed': [0]}\n", "dv_pass = {'temp_feed': None, 'temp_bath':None , 'yfeed': None}\n", "\n", - "measurement = ['FCO2']\n", + "measurement = ['FCO2', 'temp']\n", + "measurement_extra = {'FCO2': [19], 'temp': [10,19]}\n", + "\n", "t_measure = exp_time_\n" ] }, { "cell_type": "code", "execution_count": 7, - "id": "b5d2bfb3", + "id": "c82ac8a0", "metadata": {}, "outputs": [ { @@ -211,7 +213,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "854c3c01", + "id": "862c172a", "metadata": {}, "outputs": [], "source": [ @@ -228,8 +230,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "78fc1c62", + "execution_count": 9, + "id": "85b32fd2", "metadata": {}, "outputs": [ { @@ -237,1054 +239,31 @@ "output_type": "stream", "text": [ "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This scenario: {'fitted_transport_coefficient': {0: 214.12}, 'ua': {0: 15.424948470398375}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.1412, 'ua': 0.15424948470398375}, 'scena-name': [0]}\n", - "The inlet feed density is 41.0275814575221 [mol/m3]\n", - "the number of timepoints is 68\n", - "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", - "Model # of time grid is 69 , initial point # of time grid is 69\n", - "Parameters: 214.12 , 15.424948470398375\n", - "temp_feed is fixed at 313.15\n", - "temp_bath is fixed at 313.15\n", - "yfeed is fixed at 0.15\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.07e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (2559298)\n", - " 1 0.0000000e+00 1.07e+02 2.56e+02 -1.0 1.07e+02 - 7.48e-01 2.98e-03h 1\n", - " 2 0.0000000e+00 1.07e+02 2.46e+06 -1.0 1.07e+02 - 2.89e-01 2.98e-05h 1\n", - " 3r 0.0000000e+00 1.07e+02 1.00e+03 2.0 0.00e+00 - 0.00e+00 1.49e-07R 2\n", - " 4r 0.0000000e+00 1.05e+02 5.31e+04 2.0 1.32e+02 - 1.44e-02 1.90e-02f 1\n", - " 5r 0.0000000e+00 1.11e+04 6.80e+05 2.0 1.31e+02 - 1.30e-01 5.58e-02f 1\n", - " 6r 0.0000000e+00 7.53e+03 3.13e+06 2.0 3.48e-01 6.0 2.59e-01 3.70e-01f 1\n", - " 7r 0.0000000e+00 7.46e+03 3.11e+06 2.0 4.18e-01 6.4 2.82e-01 9.47e-03h 1\n", - " 8r 0.0000000e+00 6.61e+03 2.73e+06 2.0 4.21e-01 5.9 1.00e+00 1.19e-01h 1\n", - " 9r 0.0000000e+00 3.72e+03 6.46e+06 2.0 5.39e-01 5.5 4.41e-01 5.40e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 3.23e+03 1.28e+07 2.0 4.58e-01 6.8 2.38e-02 1.39e-01h 1\n", - " 11r 0.0000000e+00 2.79e+03 1.20e+07 2.0 5.54e-01 6.3 2.58e-01 1.43e-01h 1\n", - " 12r 0.0000000e+00 2.77e+03 1.19e+07 2.0 4.06e-01 6.7 1.32e-01 7.21e-03h 1\n", - " 13r 0.0000000e+00 2.39e+03 1.08e+07 2.0 5.70e-01 6.3 1.53e-01 1.45e-01h 1\n", - " 14r 0.0000000e+00 2.35e+03 1.06e+07 2.0 4.08e-01 6.7 2.50e-01 1.56e-02h 1\n", - " 15r 0.0000000e+00 2.03e+03 9.53e+06 2.0 5.56e-01 6.2 3.85e-01 1.45e-01h 1\n", - " 16r 0.0000000e+00 1.92e+03 9.12e+06 2.0 4.01e-01 6.6 1.55e-01 5.79e-02h 1\n", - " 17r 0.0000000e+00 1.65e+03 8.29e+06 2.0 5.83e-01 6.2 1.39e-01 1.45e-01h 1\n", - " 18r 0.0000000e+00 1.64e+03 8.21e+06 2.0 3.83e-01 6.6 5.11e-03 1.09e-02h 1\n", - " 19r 0.0000000e+00 1.57e+03 8.01e+06 2.0 3.95e-01 7.0 1.33e-01 3.81e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 1.27e+03 1.06e+07 2.0 4.64e-01 6.5 7.94e-02 2.08e-01h 1\n", - " 21r 0.0000000e+00 1.25e+03 1.04e+07 2.0 5.91e-01 6.1 5.05e-01 1.79e-02h 1\n", - " 22r 0.0000000e+00 9.57e+02 2.50e+07 2.0 5.48e-01 6.5 4.33e-02 2.59e-01h 1\n", - " 23r 0.0000000e+00 9.35e+02 2.44e+07 2.0 5.78e-01 6.0 1.28e-01 2.33e-02h 1\n", - " 24r 0.0000000e+00 6.98e+02 2.75e+07 2.0 5.46e-01 6.4 5.50e-01 2.83e-01h 1\n", - " 25r 0.0000000e+00 6.86e+02 2.70e+07 2.0 6.04e-01 6.0 1.51e-02 1.68e-02h 1\n", - " 26r 0.0000000e+00 5.48e+02 2.42e+07 2.0 5.94e-01 6.4 4.59e-01 2.19e-01h 1\n", - " 27r 0.0000000e+00 5.01e+02 2.22e+07 2.0 6.94e-01 5.9 3.54e-03 8.84e-02f 1\n", - " 28r 0.0000000e+00 4.95e+02 2.19e+07 2.0 5.13e-01 6.3 4.39e-01 1.27e-02h 1\n", - " 29r 0.0000000e+00 3.63e+02 1.64e+07 2.0 5.26e-01 5.9 6.84e-02 3.00e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.60e+02 1.63e+07 2.0 6.22e-01 6.3 3.54e-01 6.22e-03h 1\n", - " 31r 0.0000000e+00 3.38e+02 1.54e+07 2.0 6.10e-01 6.7 1.00e+00 6.41e-02h 1\n", - " 32r 0.0000000e+00 2.56e+02 1.95e+07 2.0 7.28e-01 6.2 2.38e-01 2.67e-01h 1\n", - " 33r 0.0000000e+00 2.55e+02 1.94e+07 2.0 6.04e-01 6.7 8.33e-01 5.35e-03h 1\n", - " 34r 0.0000000e+00 9.96e+01 5.12e+07 2.0 7.35e-01 6.2 4.89e-01 1.00e+00f 1\n", - " 35r 0.0000000e+00 9.96e+01 4.44e+07 2.0 5.60e-01 6.6 2.48e-01 1.32e-01h 1\n", - " 36r 0.0000000e+00 9.96e+01 4.43e+07 2.0 6.89e-01 7.0 3.10e-01 1.64e-03h 1\n", - " 37r 0.0000000e+00 9.96e+01 4.20e+07 2.0 8.09e-01 6.6 6.61e-01 5.10e-02h 1\n", - " 38r 0.0000000e+00 9.96e+01 3.95e+07 2.0 8.13e-01 7.0 2.69e-01 6.07e-02h 1\n", - " 39r 0.0000000e+00 9.96e+01 3.52e+07 2.0 7.60e-01 6.5 6.54e-01 1.07e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 9.96e+01 3.45e+07 2.0 7.72e-01 6.9 3.88e-01 2.14e-02h 1\n", - " 41r 0.0000000e+00 9.96e+01 3.46e+07 2.0 9.15e-01 6.5 5.94e-01 1.27e-01h 1\n", - " 42r 0.0000000e+00 9.96e+01 7.95e+07 2.0 7.70e-01 6.9 6.48e-01 2.39e-01h 1\n", - " 43r 0.0000000e+00 9.96e+01 6.10e+07 2.0 9.01e-01 6.4 3.47e-01 2.66e-01h 1\n", - " 44r 0.0000000e+00 9.96e+01 6.04e+07 2.0 6.43e-01 6.8 1.00e+00 1.05e-02h 1\n", - " 45r 0.0000000e+00 9.96e+01 4.90e+07 2.0 7.30e-01 6.4 6.47e-01 2.05e-01f 1\n", - " 46r 0.0000000e+00 9.96e+01 4.77e+07 2.0 5.43e-01 6.8 4.77e-01 2.70e-02h 1\n", - " 47r 0.0000000e+00 9.96e+01 4.14e+07 2.0 6.11e-01 6.3 9.31e-01 1.38e-01h 1\n", - " 48r 0.0000000e+00 9.96e+01 4.04e+07 2.0 8.40e-01 6.7 2.50e-01 2.36e-02h 1\n", - " 49r 0.0000000e+00 9.96e+01 3.82e+07 2.0 7.90e-01 6.3 5.47e-01 2.24e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 9.96e+01 3.78e+07 2.0 7.15e-01 6.7 6.09e-01 1.44e-02h 1\n", - " 51r 0.0000000e+00 9.96e+01 3.64e+07 2.0 9.39e-01 6.2 4.08e-01 2.16e-01f 1\n", - " 52r 0.0000000e+00 9.96e+01 3.93e+07 2.0 7.75e-01 6.6 4.79e-01 1.57e-01h 1\n", - " 53r 0.0000000e+00 9.96e+01 3.87e+07 2.0 8.51e-01 6.2 2.57e-01 1.39e-02h 1\n", - " 54r 0.0000000e+00 9.96e+01 9.05e+07 2.0 8.06e-01 6.6 1.00e+00 2.54e-01h 1\n", - " 55r 0.0000000e+00 9.96e+01 8.95e+07 2.0 9.82e-01 6.1 2.80e-01 1.16e-02h 1\n", - " 56r 0.0000000e+00 9.96e+01 3.74e+07 2.0 1.14e+00 5.6 2.22e-01 5.80e-01f 1\n", - " 57r 0.0000000e+00 9.96e+01 1.13e+07 2.0 5.26e-01 6.1 9.75e-01 1.00e+00f 1\n", - " 58r 0.0000000e+00 9.96e+01 2.05e+06 2.0 3.26e-02 6.5 9.24e-01 1.00e+00f 1\n", - " 59r 0.0000000e+00 9.96e+01 6.88e+04 2.0 3.28e-02 6.0 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 9.95e+01 1.03e+04 2.0 2.47e-02 5.5 1.00e+00 1.00e+00f 1\n", - " 61r 0.0000000e+00 9.95e+01 2.75e+03 2.0 1.82e-02 5.0 1.00e+00 1.00e+00f 1\n", - " 62r 0.0000000e+00 9.95e+01 5.78e+03 1.3 7.12e-03 5.5 1.00e+00 1.00e+00f 1\n", - " 63r 0.0000000e+00 9.95e+01 1.01e+03 1.3 1.03e-02 5.0 1.00e+00 1.00e+00f 1\n", - " 64r 0.0000000e+00 9.95e+01 1.03e+03 1.3 3.13e-02 4.5 1.00e+00 1.00e+00f 1\n", - " 65r 0.0000000e+00 9.95e+01 1.23e+03 1.3 9.86e-02 4.0 1.00e+00 1.00e+00f 1\n", - " 66r 0.0000000e+00 9.95e+01 3.55e+04 1.3 9.72e-01 3.6 1.16e-01 1.02e-01f 1\n", - " 67r 0.0000000e+00 9.95e+01 2.03e+04 1.3 2.88e-02 5.8 1.00e+00 9.87e-01f 1\n", - " 68r 0.0000000e+00 9.95e+01 1.12e+04 1.3 7.39e-02 5.3 5.53e-01 6.79e-01f 1\n", - " 69r 0.0000000e+00 9.95e+01 5.72e+03 1.3 2.02e-02 4.8 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 9.95e+01 1.11e+03 1.3 4.79e-02 4.4 1.00e+00 1.00e+00f 1\n", - " 71r 0.0000000e+00 9.94e+01 7.65e+04 1.3 2.59e-01 3.9 9.62e-01 7.29e-01f 1\n", - " 72r 0.0000000e+00 9.94e+01 4.60e+04 1.3 6.69e-02 5.2 1.00e+00 5.85e-01f 1\n", - " 73r 0.0000000e+00 9.94e+01 3.73e+04 1.3 6.41e-02 4.7 7.50e-01 1.00e+00f 1\n", - " 74r 0.0000000e+00 9.94e+01 7.15e+05 1.3 8.95e-02 5.2 1.00e+00 8.77e-01f 1\n", - " 75r 0.0000000e+00 9.94e+01 2.37e+05 1.3 1.34e-01 4.7 1.00e+00 1.00e+00f 1\n", - " 76r 0.0000000e+00 9.94e+01 1.60e+04 1.3 7.22e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 77r 0.0000000e+00 9.94e+01 7.65e+03 1.3 2.30e-02 5.5 1.00e+00 1.00e+00f 1\n", - " 78r 0.0000000e+00 9.94e+01 4.48e+03 1.3 1.13e-02 5.1 1.00e+00 1.00e+00f 1\n", - " 79r 0.0000000e+00 9.93e+01 2.48e+03 1.3 2.60e-02 4.6 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 9.93e+01 1.09e+03 1.3 7.52e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 81r 0.0000000e+00 9.92e+01 9.56e+02 1.3 2.25e-01 3.6 1.00e+00 7.59e-01f 1\n", - " 82r 0.0000000e+00 9.91e+01 1.74e+03 0.6 6.59e-01 3.2 8.10e-01 3.03e-01f 1\n", - " 83r 0.0000000e+00 9.89e+01 1.72e+03 0.6 1.55e+00 2.7 7.66e-01 2.06e-01f 1\n", - " 84r 0.0000000e+00 9.88e+01 1.22e+03 0.6 3.93e-01 3.1 1.00e+00 3.13e-01f 1\n", - " 85r 0.0000000e+00 9.85e+01 9.40e+02 0.6 1.17e+00 2.6 1.00e+00 2.40e-01f 1\n", - " 86r 0.0000000e+00 9.71e+01 2.03e+03 0.6 3.49e+00 2.1 7.07e-01 4.14e-01f 1\n", - " 87r 0.0000000e+00 9.58e+01 4.91e+02 0.6 1.31e+00 2.6 1.00e+00 1.00e+00f 1\n", - " 88r 0.0000000e+00 9.19e+01 4.87e+02 0.6 3.90e+00 2.1 1.00e+00 1.00e+00f 1\n", - " 89r 0.0000000e+00 8.04e+01 4.75e+02 0.6 1.14e+01 1.6 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 4.86e+01 4.43e+02 0.6 3.19e+01 1.1 1.00e+00 1.00e+00f 1\n", - " 91r 0.0000000e+00 2.29e+00 3.95e+02 0.6 7.85e+01 0.7 1.00e+00 6.02e-01f 1\n", - " 92r 0.0000000e+00 2.28e+00 4.36e+02 0.6 1.49e+02 0.2 4.69e-01 3.35e-03f 1\n", - " 93r 0.0000000e+00 2.22e+00 5.56e+02 0.6 3.65e+01 0.6 1.00e+00 2.70e-02f 1\n", - " 94r 0.0000000e+00 6.26e+03 7.64e+05 0.6 1.00e+01 0.1 2.35e-01 6.84e-01f 1\n", - " 95r 0.0000000e+00 4.46e+03 5.44e+05 0.6 2.18e-01 4.2 3.60e-01 3.23e-01h 1\n", - " 96r 0.0000000e+00 3.80e+03 4.63e+05 0.6 3.89e-01 3.7 3.15e-01 1.58e-01h 1\n", - " 97r 0.0000000e+00 3.05e+03 3.72e+05 0.6 1.75e+00 3.2 6.80e-02 1.95e-01h 1\n", - " 98r 0.0000000e+00 1.01e+03 1.22e+05 0.6 3.56e-01 3.6 5.70e-01 9.71e-01h 1\n", - " 99r 0.0000000e+00 9.12e+02 1.11e+05 0.6 1.55e+00 4.1 8.82e-02 9.82e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 8.94e+02 1.08e+05 0.6 1.73e+00 3.6 1.43e-01 1.99e-02f 1\n", - " 101r 0.0000000e+00 8.87e+02 1.08e+05 0.6 6.91e+01 3.1 1.11e-02 8.03e-03f 1\n", - " 102r 0.0000000e+00 6.99e+02 8.47e+04 0.6 1.46e+00 3.5 1.27e-01 2.32e-01h 1\n", - " 103r 0.0000000e+00 4.89e+02 5.92e+04 0.6 7.82e-01 3.1 6.31e-01 3.44e-01f 1\n", - " 104r 0.0000000e+00 3.78e+02 4.58e+04 0.6 8.55e-01 2.6 1.41e-02 2.50e-01h 1\n", - " 105r 0.0000000e+00 2.97e+02 3.66e+04 0.6 7.16e-01 3.9 2.37e-01 2.37e-01f 1\n", - " 106r 0.0000000e+00 2.55e+02 4.66e+04 0.6 1.13e+00 3.4 2.18e-01 1.47e-01f 1\n", - " 107r 0.0000000e+00 2.07e+02 1.35e+05 0.6 9.04e-01 3.9 5.76e-02 2.03e-01h 1\n", - " 108r 0.0000000e+00 1.65e+02 1.18e+05 0.6 1.20e+00 3.4 2.35e-01 2.26e-01h 1\n", - " 109r 0.0000000e+00 1.39e+02 1.00e+05 0.6 1.25e+00 2.9 9.52e-01 1.68e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 1.33e+02 9.64e+04 0.6 1.19e+00 2.4 1.00e+00 4.06e-02f 1\n", - " 111r 0.0000000e+00 6.86e+01 3.96e+04 0.6 1.09e+00 2.0 1.00e+00 6.27e-01f 1\n", - " 112r 0.0000000e+00 2.35e+01 7.02e+04 0.6 4.71e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 113r 0.0000000e+00 1.76e+01 6.79e+04 0.6 1.25e+00 2.8 1.00e+00 2.82e-01f 1\n", - " 114r 0.0000000e+00 1.28e+01 2.56e+05 0.6 3.52e+00 3.2 3.97e-02 3.08e-01h 1\n", - " 115r 0.0000000e+00 5.55e+00 1.17e+05 0.6 2.40e+00 2.8 1.00e+00 6.44e-01h 1\n", - " 116r 0.0000000e+00 4.06e+00 1.37e+05 0.6 1.25e+00 3.2 1.00e+00 1.00e+00h 1\n", - " 117r 0.0000000e+00 3.47e+00 7.07e+04 0.6 2.13e+00 2.7 7.64e-01 1.52e-01f 1\n", - " 118r 0.0000000e+00 4.05e+00 6.27e+04 0.6 6.40e-01 2.2 1.50e-01 1.15e-01F 1\n", - " 119r 0.0000000e+00 3.03e+00 4.59e+04 0.6 1.29e-01 2.7 1.00e+00 2.72e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 0.0000000e+00 4.44e-01 8.49e+02 0.6 9.66e-02 3.1 1.00e+00 1.00e+00f 1\n", - " 121r 0.0000000e+00 1.61e+01 4.17e+03 0.6 1.01e+00 2.6 4.47e-01 2.33e-01f 1\n", - " 122r 0.0000000e+00 5.72e+00 2.47e+03 0.6 5.49e-02 3.0 4.57e-01 1.00e+00f 1\n", - " 123r 0.0000000e+00 2.65e+00 1.11e+03 0.6 1.76e-01 2.6 1.00e+00 1.00e+00f 1\n", - " 124r 0.0000000e+00 5.08e+00 3.23e+03 0.6 8.44e-02 3.0 1.00e+00 1.00e+00f 1\n", - " 125r 0.0000000e+00 4.50e+00 1.60e+03 0.6 2.59e-01 2.5 1.00e+00 7.42e-01f 1\n", - " 126r 0.0000000e+00 3.95e+00 1.26e+03 0.6 3.68e-01 2.9 6.00e-01 2.32e-01f 1\n", - " 127r 0.0000000e+00 3.41e+01 1.07e+04 0.6 5.22e-01 2.5 1.00e+00 7.63e-01f 1\n", - " 128r 0.0000000e+00 1.77e+01 5.73e+03 0.6 1.76e-01 2.9 9.42e-01 6.35e-01f 1\n", - " 129r 0.0000000e+00 1.51e+01 4.92e+03 0.6 8.64e+01 - 3.79e-01 1.53e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r 0.0000000e+00 5.58e+00 1.05e+03 0.6 1.16e-01 2.4 9.68e-01 1.00e+00f 1\n", - " 131r 0.0000000e+00 4.40e+00 7.82e+02 0.6 7.51e+01 - 6.22e-01 2.48e-01f 1\n", - " 132r 0.0000000e+00 1.96e+00 2.29e+03 0.6 2.51e-01 1.9 7.73e-01 1.00e+00f 1\n", - " 133r 0.0000000e+00 9.58e+00 1.76e+03 0.6 5.73e+01 - 5.70e-01 2.67e-01f 1\n", - " 134r 0.0000000e+00 3.08e+00 3.60e+02 0.6 7.20e-01 1.4 8.37e-01 1.00e+00f 1\n", - " 135r 0.0000000e+00 2.96e+00 6.18e+02 0.6 4.18e+01 - 3.26e-01 3.78e-02f 1\n", - " 136r 0.0000000e+00 1.81e+00 1.39e+02 0.6 6.68e-01 1.0 8.66e-01 1.00e+00f 1\n", - " 137r 0.0000000e+00 1.58e+00 1.11e+03 -0.1 3.91e+01 - 7.98e-01 2.67e-01f 1\n", - " 138r 0.0000000e+00 1.30e+00 9.74e+02 -0.1 1.50e+00 0.5 5.53e-01 6.92e-01f 1\n", - " 139r 0.0000000e+00 1.81e+00 1.55e+03 -0.1 2.01e+00 0.0 3.22e-01 5.08e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r 0.0000000e+00 1.55e+00 4.94e+03 -0.1 1.03e+00 1.3 1.00e+00 1.00e+00f 1\n", - " 141r 0.0000000e+00 3.95e-01 1.81e+03 -0.1 6.11e-01 0.9 3.09e-01 1.00e+00f 1\n", - " 142r 0.0000000e+00 1.66e+00 1.25e+03 -0.1 1.17e+01 - 1.31e-01 2.80e-01f 1\n", - " 143r 0.0000000e+00 2.52e+00 1.96e+03 -0.1 1.48e+00 0.4 5.25e-01 9.90e-01f 1\n", - " 144r 0.0000000e+00 1.18e+00 8.11e+02 -0.1 8.19e+00 - 5.48e-01 8.78e-01f 1\n", - " 145r 0.0000000e+00 1.82e+00 3.02e+02 -0.1 1.00e+00 - 1.00e+00 1.00e+00f 1\n", - " 146r 0.0000000e+00 4.63e-01 1.19e+02 -0.1 6.59e-01 - 1.00e+00 1.00e+00f 1\n", - " 147r 0.0000000e+00 1.09e-01 1.05e+01 -0.1 2.87e-01 - 1.00e+00 1.00e+00h 1\n", - " 148r 0.0000000e+00 1.49e+00 3.44e+02 -0.8 2.07e+00 - 1.00e+00 4.44e-01f 1\n", - " 149r 0.0000000e+00 4.32e-01 2.01e+02 -0.8 1.37e+00 -0.1 5.85e-01 5.94e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150r 0.0000000e+00 5.47e-01 2.29e+02 -0.8 3.64e+01 - 1.00e+00 6.49e-01f 1\n", - " 151r 0.0000000e+00 3.04e-01 2.65e+02 -0.8 1.27e+01 - 1.00e+00 1.00e+00f 1\n", - " 152r 0.0000000e+00 6.94e-02 2.38e+02 -0.8 9.61e-02 - 1.00e+00 9.55e-01f 1\n", - " 153r 0.0000000e+00 6.94e-02 1.28e+02 -0.8 2.17e-02 - 1.00e+00 1.00e+00f 1\n", - " 154r 0.0000000e+00 6.93e-02 1.46e+02 -0.8 1.63e-02 - 1.00e+00 1.00e+00h 1\n", - " 155r 0.0000000e+00 6.93e-02 3.02e+01 -0.8 4.42e-03 - 1.00e+00 1.00e+00f 1\n", - " 156r 0.0000000e+00 6.93e-02 4.81e+02 -0.8 4.86e-02 - 8.56e-01 1.42e-01f 3\n", - " 157r 0.0000000e+00 6.93e-02 1.65e+02 -0.8 1.71e-02 - 1.00e+00 2.50e-01f 3\n", - " 158r 0.0000000e+00 6.93e-02 4.50e+01 -0.8 8.72e-03 - 1.00e+00 1.00e+00F 1\n", - " 159r 0.0000000e+00 6.93e-02 2.08e+00 -0.8 3.12e-03 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r 0.0000000e+00 4.97e-01 3.28e+02 -1.5 1.12e+00 - 1.00e+00 3.07e-01f 1\n", - " 161r 0.0000000e+00 7.19e-01 1.03e+02 -1.5 8.31e+01 - 1.00e+00 6.64e-01f 1\n", - " 162r 0.0000000e+00 5.69e-01 1.51e+02 -1.5 2.71e+01 - 1.00e+00 3.64e-01f 1\n", - " 163r 0.0000000e+00 5.99e-01 6.46e+01 -1.5 2.88e+00 - 1.00e+00 1.00e+00f 1\n", - " 164r 0.0000000e+00 3.18e-01 6.52e+01 -1.5 2.40e+00 - 1.00e+00 8.37e-01f 1\n", - " 165r 0.0000000e+00 1.31e-01 4.93e+01 -1.5 6.83e-01 - 1.00e+00 1.00e+00f 1\n", - " 166r 0.0000000e+00 7.75e-02 2.66e+02 -1.5 1.05e-01 - 1.00e+00 4.89e-01f 1\n", - " 167r 0.0000000e+00 5.72e-02 3.60e+02 -1.5 1.85e-01 - 6.54e-01 2.85e-01f 1\n", - " 168r 0.0000000e+00 3.86e-02 4.63e+02 -1.5 1.36e-01 - 1.00e+00 3.61e-01f 1\n", - " 169r 0.0000000e+00 8.04e-03 1.62e+01 -1.5 4.26e-02 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r 0.0000000e+00 3.78e-03 2.39e+00 -1.5 1.58e-02 - 1.00e+00 1.00e+00f 1\n", - " 171r 0.0000000e+00 3.77e-03 1.57e-02 -1.5 1.03e-03 - 1.00e+00 1.00e+00h 1\n", - " 172r 0.0000000e+00 1.32e-01 4.37e+02 -3.3 1.12e+00 - 5.01e-01 1.75e-01f 1\n", - " 173r 0.0000000e+00 1.43e-01 5.82e+02 -3.3 1.74e+00 - 4.62e-01 1.29e-01f 1\n", - " 174r 0.0000000e+00 1.87e-01 4.00e+02 -3.3 5.42e-01 - 3.93e-01 3.11e-01f 1\n", - " 175r 0.0000000e+00 1.76e-01 3.66e+02 -3.3 4.21e-01 - 9.40e-02 8.64e-02f 1\n", - " 176r 0.0000000e+00 1.67e-01 3.42e+02 -3.3 3.93e-01 - 7.94e-02 6.55e-02f 1\n", - " 177r 0.0000000e+00 1.53e-01 2.93e+02 -3.3 3.62e-01 - 1.13e-01 1.42e-01f 1\n", - " 178r 0.0000000e+00 1.50e-01 5.78e+02 -3.3 8.26e-01 0.3 7.67e-02 1.60e-02f 1\n", - " 179r 0.0000000e+00 1.35e-01 4.82e+02 -3.3 3.20e-01 - 1.77e-01 1.65e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r 0.0000000e+00 1.35e-01 4.83e+02 -3.3 2.81e+01 - 1.15e-03 4.29e-04f 1\n", - " 181r 0.0000000e+00 1.00e-01 3.52e+02 -3.3 8.47e-02 0.8 4.13e-01 2.69e-01f 1\n", - " 182r 0.0000000e+00 9.71e-02 3.95e+02 -3.3 8.69e-01 0.3 8.83e-02 3.23e-02f 1\n", - " 183r 0.0000000e+00 9.24e-02 5.08e+02 -3.3 6.87e-01 - 2.32e-02 1.05e-01f 1\n", - " 184r 0.0000000e+00 9.02e-02 5.34e+02 -3.3 3.71e-01 - 9.26e-02 2.59e-02f 1\n", - " 185r 0.0000000e+00 8.31e-02 4.89e+02 -3.3 2.40e-01 0.7 7.52e-02 8.28e-02f 1\n", - " 186r 0.0000000e+00 8.20e-02 4.82e+02 -3.3 6.99e-01 0.2 1.65e-02 1.39e-02f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 187r 0.0000000e+00 7.99e-02 4.70e+02 -3.3 4.22e-01 - 5.28e-02 2.94e-02f 1\n", - " 188r 0.0000000e+00 7.73e-02 4.39e+02 -3.3 4.48e-01 - 2.64e-02 4.39e-02f 1\n", - " 189r 0.0000000e+00 7.54e-02 4.34e+02 -3.3 3.48e-01 - 5.27e-02 2.75e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190r 0.0000000e+00 7.37e-02 4.20e+02 -3.3 7.89e-01 -0.2 1.70e-02 2.46e-02f 1\n", - " 191r 0.0000000e+00 4.66e-02 2.57e+02 -3.3 6.14e-02 1.1 7.38e-02 3.81e-01f 1\n", - " 192r 0.0000000e+00 4.59e-02 4.94e+02 -3.3 7.92e-01 - 5.78e-05 1.72e-02f 1\n", - " 193r 0.0000000e+00 3.72e-02 4.04e+02 -3.3 1.59e-01 0.6 2.12e-01 2.27e-01f 1\n", - " 194r 0.0000000e+00 3.69e-02 3.99e+02 -3.3 3.99e+00 0.1 1.22e-02 1.11e-02f 1\n", - " 195r 0.0000000e+00 3.62e-02 3.90e+02 -3.3 8.29e-01 - 1.07e-02 2.30e-02f 1\n", - " 196r 0.0000000e+00 3.59e-02 3.86e+02 -3.3 6.96e-01 0.6 2.66e-02 1.03e-02f 1\n", - " 197r 0.0000000e+00 2.95e-02 5.59e+02 -3.3 8.88e-02 1.0 2.63e-02 1.94e-01f 1\n", - " 198r 0.0000000e+00 2.91e-02 5.55e+02 -3.3 8.20e-01 0.5 3.41e-02 1.55e-02f 1\n", - " 199r 0.0000000e+00 2.88e-02 5.58e+02 -3.3 4.65e-01 - 2.89e-02 1.42e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200r 0.0000000e+00 2.82e-02 4.55e+02 -3.3 4.48e-01 - 3.02e-02 4.12e-02f 1\n", - " 201r 0.0000000e+00 2.76e-02 4.55e+02 -3.3 3.68e-01 - 2.96e-02 2.78e-02f 1\n", - " 202r 0.0000000e+00 2.73e-02 4.14e+02 -3.3 5.96e-01 - 1.30e-02 1.67e-02f 1\n", - " 203r 0.0000000e+00 2.71e-02 4.41e+02 -3.3 7.32e-01 - 1.35e-02 7.37e-03f 1\n", - " 204r 0.0000000e+00 2.69e-02 4.30e+02 -3.3 9.16e-01 0.0 8.43e-03 7.47e-03f 1\n", - " 205r 0.0000000e+00 2.68e-02 6.15e+02 -3.3 1.70e+00 0.5 5.18e-03 1.54e-02f 1\n", - " 206r 0.0000000e+00 2.68e-02 6.16e+02 -3.3 2.92e+00 -0.0 7.31e-03 1.43e-03f 1\n", - " 207r 0.0000000e+00 2.65e-02 5.89e+02 -3.3 5.33e-01 0.4 4.18e-02 4.46e-02f 1\n", - " 208r 0.0000000e+00 2.63e-02 5.82e+02 -3.3 8.62e-01 -0.1 1.24e-02 1.12e-02f 1\n", - " 209r 0.0000000e+00 2.64e-02 5.82e+02 -3.3 1.82e+01 - 5.49e-04 4.91e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 210r 0.0000000e+00 2.63e-02 5.79e+02 -3.3 1.99e+00 - 1.81e-03 5.31e-03f 1\n", - " 211r 0.0000000e+00 2.50e-02 6.24e+02 -3.3 4.21e-01 0.4 3.08e-02 7.36e-02f 1\n", - " 212r 0.0000000e+00 2.48e-02 5.75e+02 -3.3 3.56e-01 - 3.09e-02 1.00e-02f 1\n", - " 213r 0.0000000e+00 2.47e-02 5.65e+02 -3.3 1.40e+00 - 5.90e-03 2.31e-02f 1\n", - " 214r 0.0000000e+00 2.49e-02 8.87e+02 -3.3 1.02e+00 -0.1 1.75e-02 3.89e-02f 1\n", - " 215r 0.0000000e+00 2.49e-02 8.85e+02 -3.3 1.78e+00 - 2.25e-02 2.50e-03f 1\n", - " 216r 0.0000000e+00 2.47e-02 9.65e+02 -3.3 3.82e-01 - 2.69e-01 4.46e-02f 1\n", - " 217r 0.0000000e+00 2.36e-02 8.58e+02 -3.3 1.13e-01 - 2.89e-01 4.47e-02f 1\n", - " 218r 0.0000000e+00 1.99e-02 8.46e+02 -3.3 9.19e-02 - 1.49e-01 2.03e-01f 1\n", - " 219r 0.0000000e+00 1.72e-02 7.30e+02 -3.3 5.44e-02 - 4.64e-01 1.48e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 220r 0.0000000e+00 1.60e-02 1.43e+03 -3.3 5.62e-02 - 2.20e-02 7.14e-02f 1\n", - " 221r 0.0000000e+00 1.21e-02 1.24e+03 -3.3 3.35e-02 - 6.43e-01 2.61e-01f 1\n", - " 222r 0.0000000e+00 1.12e-02 2.24e+03 -3.3 3.11e-02 - 2.17e-02 7.83e-02f 1\n", - " 223r 0.0000000e+00 9.68e-03 2.00e+03 -3.3 1.96e-02 - 3.32e-01 1.34e-01f 1\n", - " 224r 0.0000000e+00 9.08e-03 1.90e+03 -3.3 2.15e-02 - 2.23e-02 6.29e-02f 1\n", - " 225r 0.0000000e+00 8.48e-03 1.78e+03 -3.3 1.74e-02 - 3.14e-02 6.62e-02f 1\n", - " 226r 0.0000000e+00 7.64e-03 1.62e+03 -3.3 1.47e-02 - 5.61e-02 9.99e-02f 1\n", - " 227r 0.0000000e+00 5.68e-03 1.21e+03 -3.3 1.25e-02 - 1.47e-01 2.61e-01f 1\n", - " 228r 0.0000000e+00 5.50e-03 1.17e+03 -3.3 9.16e-03 - 1.55e-01 3.32e-02f 1\n", - " 229r 0.0000000e+00 3.81e-03 7.98e+02 -3.3 8.55e-03 - 4.57e-01 3.10e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 230r 0.0000000e+00 2.77e-03 2.58e+03 -3.3 6.21e-03 - 6.14e-02 2.77e-01f 1\n", - " 231r 0.0000000e+00 2.23e-03 2.06e+03 -3.3 4.32e-03 - 8.17e-02 1.96e-01f 1\n", - " 232r 0.0000000e+00 1.38e-03 1.26e+03 -3.3 3.31e-03 - 1.58e-01 3.81e-01f 1\n", - " 233r 0.0000000e+00 7.21e-04 7.22e+02 -3.3 2.00e-03 - 2.60e-01 4.81e-01f 1\n", - " 234r 0.0000000e+00 3.45e-06 1.51e+03 -3.3 1.02e-03 - 3.12e-01 1.00e+00f 1\n", - " 235r 0.0000000e+00 8.68e-07 1.81e-02 -3.3 1.68e-05 - 1.00e+00 1.00e+00h 1\n", - " 236r 0.0000000e+00 1.11e-06 3.58e+01 -4.9 7.48e-04 - 1.00e+00 8.08e-01f 1\n", - " 237r 0.0000000e+00 2.87e-07 6.92e+01 -4.9 9.28e-05 - 9.41e-01 7.53e-01f 1\n", - " 238r 0.0000000e+00 1.83e-08 3.67e-04 -4.9 5.38e-05 - 1.00e+00 1.00e+00f 1\n", - " 239r 0.0000000e+00 5.78e-09 1.01e+02 -7.4 4.69e-07 - 9.46e-01 6.47e-01f 1\n", - "\n", - "Number of Iterations....: 239\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 5.7817187916314847e-09 5.7817187916314847e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 5.7817187916314847e-09 5.7817187916314847e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 253\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 253\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 241\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 239\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 22.022\n", - "Total CPU secs in NLP function evaluations = 11.753\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Output this time: [0.000199428298248, 8.159596113447982e-05, 8.06946654218583e-05, 8.060545218996603e-05, 8.05922638054428e-05, 8.06830529881791e-05, 8.092393148258299e-05, 8.138996561991319e-05, 8.220691446083944e-05, 8.354278953885298e-05, 8.57026622873618e-05, 8.906773565978447e-05, 9.432479488510523e-05, 0.00010235923126366355, 0.00011459900994249055, 0.00013312522538329804, 0.00016063636274550605, 0.00020189765533140108, 0.0002615361482638168, 0.0003496676072391476, 0.0004739671052287185, 0.0006534132236106903, 0.0009024780493370829, 0.0012507854218092897, 0.0017321782676709282, 0.002380469281945195, 0.0032805162232349494, 0.004447945217571189, 0.006074088377415348, 0.008124372223979541, 0.01094681547572676, 0.014461669022253907, 0.01918125674799001, 0.024180014612463687, 0.02892504358086735, 0.033269200957853254, 0.037190600399237925, 0.04070433206072048, 0.04383787347709593, 0.04662279850067653, 0.04909134830524111, 0.05127481323660119, 0.053202730021499285, 0.05490249940671077, 0.05639923962461354, 0.05771577792329515, 0.05887272366038304, 0.059888588396701886, 0.06077993112077188, 0.06156151454259804, 0.0622464634023627, 0.06284641904074287, 0.06337168669070434, 0.06383137344648904, 0.06423351587723827, 0.0645851969322933, 0.06489265223461782, 0.06516136614775829, 0.06539615817880623, 0.06560126037904448, 0.06578038644948751, 0.06593679326754776, 0.06607333553580394, 0.06619251422302337, 0.06629651942737258, 0.06638726824647387, 0.06646643819164785, 0.06653549663638668, 0.06659572674322364]\n", - "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.579197955102359}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15579197955102358}, 'scena-name': [0]}\n", - "The inlet feed density is 41.0275814575221 [mol/m3]\n", - "the number of timepoints is 68\n", - "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", - "Model # of time grid is 69 , initial point # of time grid is 69\n", - "Parameters: 212 , 15.579197955102359\n", - "temp_feed is fixed at 313.15\n", - "temp_bath is fixed at 313.15\n", - "yfeed is fixed at 0.15\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.25e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reallocating memory for MA57: lfact (2559697)\n", - " 1 0.0000000e+00 1.25e+02 2.56e+02 -1.0 1.25e+02 - 7.48e-01 2.98e-03h 1\n", - " 2 0.0000000e+00 1.25e+02 2.46e+06 -1.0 1.25e+02 - 2.89e-01 2.98e-05h 1\n", - " 3r 0.0000000e+00 1.25e+02 1.00e+03 2.1 0.00e+00 - 0.00e+00 1.49e-07R 2\n", - " 4r 0.0000000e+00 1.23e+02 3.59e+04 2.1 1.22e+02 - 1.31e-02 1.70e-02f 1\n", - " 5r 0.0000000e+00 5.70e+04 3.49e+06 2.1 1.22e+02 - 5.23e-02 6.10e-02f 1\n", - " 6r 0.0000000e+00 3.59e+04 4.00e+06 2.1 3.44e-01 6.0 3.50e-01 4.39e-01f 1\n", - " 7r 0.0000000e+00 3.54e+04 3.94e+06 2.1 4.60e-01 6.4 3.96e-01 1.34e-02h 1\n", - " 8r 0.0000000e+00 3.09e+04 3.06e+06 2.1 4.63e-01 5.9 1.00e+00 1.36e-01h 1\n", - " 9r 0.0000000e+00 2.19e+04 4.14e+06 2.1 9.26e-01 5.5 2.34e-01 3.29e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.90e+04 3.43e+06 2.1 4.85e-01 5.9 1.74e-01 1.43e-01h 1\n", - " 11r 0.0000000e+00 1.79e+04 4.01e+06 2.1 4.16e-01 7.2 1.22e-02 5.82e-02h 1\n", - " 12r 0.0000000e+00 1.57e+04 1.06e+07 2.1 4.53e-01 6.7 7.16e-02 1.31e-01h 1\n", - " 13r 0.0000000e+00 1.56e+04 1.06e+07 2.1 4.11e-01 7.2 6.73e-02 3.35e-03h 1\n", - " 14r 0.0000000e+00 1.52e+04 1.05e+07 2.1 4.40e-01 6.7 6.79e-01 2.88e-02h 1\n", - " 15r 0.0000000e+00 1.37e+04 1.71e+07 2.1 4.74e-01 7.1 8.20e-02 9.76e-02h 1\n", - " 16r 0.0000000e+00 1.24e+04 1.71e+07 2.1 5.16e-01 6.6 8.54e-02 1.00e-01h 1\n", - " 17r 0.0000000e+00 1.22e+04 1.69e+07 2.1 4.39e-01 7.1 5.57e-01 1.83e-02h 1\n", - " 18r 0.0000000e+00 1.02e+04 1.65e+07 2.1 5.08e-01 6.6 2.13e-02 1.72e-01h 1\n", - " 19r 0.0000000e+00 1.01e+04 1.63e+07 2.1 4.50e-01 7.0 9.53e-01 1.20e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 9.07e+03 3.79e+07 2.1 4.39e-01 7.4 1.00e+00 1.08e-01h 1\n", - " 21r 0.0000000e+00 7.98e+03 3.66e+07 2.1 5.00e-01 7.0 3.45e-01 1.26e-01h 1\n", - " 22r 0.0000000e+00 7.39e+03 3.72e+07 2.1 4.39e-01 7.4 3.00e-01 7.67e-02h 1\n", - " 23r 0.0000000e+00 6.64e+03 3.44e+07 2.1 4.73e-01 6.9 7.53e-03 1.06e-01h 1\n", - " 24r 0.0000000e+00 6.62e+03 3.43e+07 2.1 4.20e-01 7.3 5.59e-01 2.65e-03h 1\n", - " 25r 0.0000000e+00 4.99e+03 5.50e+07 2.1 5.82e-01 6.9 1.05e-01 2.74e-01h 1\n", - " 26r 0.0000000e+00 4.97e+03 5.49e+07 2.1 4.20e-01 8.2 7.19e-01 3.26e-03h 1\n", - " 27r 0.0000000e+00 3.89e+03 3.88e+08 2.1 5.15e-01 7.7 5.89e-01 2.38e-01h 1\n", - " 28r 0.0000000e+00 3.69e+03 4.13e+08 2.1 4.97e-01 8.1 3.53e-01 5.22e-02h 1\n", - "Reallocating memory for MA57: lfact (3093536)\n", - " 29r 0.0000000e+00 3.69e+03 4.13e+08 2.1 5.06e-01 8.6 1.00e+00 1.03e-03h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 2.72e+03 1.01e+09 2.1 5.73e-01 8.1 2.92e-01 2.95e-01h 1\n", - " 31r 0.0000000e+00 2.71e+03 1.01e+09 2.1 5.84e-01 7.6 6.66e-01 3.99e-03h 1\n", - " 32r 0.0000000e+00 2.60e+03 9.71e+08 2.1 6.58e-01 8.0 3.97e-01 4.09e-02h 1\n", - " 33r 0.0000000e+00 1.78e+03 7.22e+08 2.1 7.08e-01 7.6 4.48e-03 3.62e-01h 1\n", - " 34r 0.0000000e+00 1.78e+03 7.22e+08 2.1 5.83e-01 8.0 4.53e-01 8.60e-04h 1\n", - " 35r 0.0000000e+00 1.33e+03 7.46e+08 2.1 7.27e-01 7.5 6.26e-01 2.81e-01h 1\n", - " 36r 0.0000000e+00 1.33e+03 7.44e+08 2.1 6.58e-01 7.9 1.64e-01 2.51e-03h 1\n", - " 37r 0.0000000e+00 1.25e+03 7.07e+08 2.1 8.30e-01 7.5 4.62e-01 6.08e-02h 1\n", - " 38r 0.0000000e+00 1.24e+03 7.04e+08 2.1 7.61e-01 7.9 4.17e-01 3.88e-03h 1\n", - " 39r 0.0000000e+00 9.45e+02 6.06e+08 2.1 8.23e-01 7.4 4.14e-01 2.68e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 9.40e+02 6.04e+08 2.1 7.87e-01 6.9 1.66e-01 4.50e-03h 1\n", - " 41r 0.0000000e+00 8.62e+02 5.56e+08 2.1 7.95e-01 7.4 2.09e-01 8.58e-02h 1\n", - " 42r 0.0000000e+00 6.16e+02 6.52e+08 2.1 7.06e-01 7.8 1.00e+00 3.24e-01h 1\n", - " 43r 0.0000000e+00 2.00e+02 2.49e+08 2.1 6.77e-01 7.3 5.58e-01 1.00e+00h 1\n", - " 44r 0.0000000e+00 1.85e+02 2.31e+08 2.1 8.65e-01 7.7 1.36e-01 7.25e-02h 1\n", - " 45r 0.0000000e+00 1.85e+02 2.31e+08 2.1 8.17e-01 8.2 3.43e-01 8.14e-04h 1\n", - " 46r 0.0000000e+00 1.82e+02 2.26e+08 2.1 1.03e+00 7.7 3.77e-01 2.03e-02h 1\n", - " 47r 0.0000000e+00 1.79e+02 2.23e+08 2.1 1.02e+00 8.1 2.00e-01 1.35e-02h 1\n", - " 48r 0.0000000e+00 1.61e+02 2.32e+08 2.1 9.62e-01 7.6 5.82e-01 1.03e-01h 1\n", - " 49r 0.0000000e+00 1.61e+02 2.32e+08 2.1 9.95e-01 8.1 2.22e-01 2.90e-03h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 1.44e+02 2.71e+08 2.1 1.10e+00 7.6 3.90e-01 1.09e-01f 1\n", - " 51r 0.0000000e+00 1.20e+02 6.49e+08 2.1 9.90e-01 8.0 1.60e-01 1.80e-01h 1\n", - " 52r 0.0000000e+00 1.18e+02 2.16e+09 2.1 1.03e+00 7.5 1.02e-01 6.65e-01f 1\n", - " 53r 0.0000000e+00 1.18e+02 1.97e+09 2.1 3.85e-01 8.9 6.03e-02 9.07e-02h 1\n", - " 54r 0.0000000e+00 1.18e+02 2.12e+09 2.1 6.64e-01 8.4 3.05e-01 7.68e-02h 1\n", - " 55r 0.0000000e+00 1.18e+02 2.52e+09 2.1 6.89e-01 8.8 2.42e-01 3.63e-02h 1\n", - "Reallocating memory for MA57: lfact (3268723)\n", - " 56r 0.0000000e+00 1.18e+02 2.52e+09 2.1 7.61e-01 9.2 1.00e+00 3.58e-04h 1\n", - " 57r 0.0000000e+00 1.18e+02 1.68e+10 2.1 1.04e+00 8.8 2.26e-01 1.94e-01h 1\n", - " 58r 0.0000000e+00 1.18e+02 1.85e+10 2.1 1.02e+00 9.2 5.49e-01 7.26e-02h 1\n", - " 59r 0.0000000e+00 1.18e+02 1.85e+10 2.1 9.92e-01 8.7 1.00e+00 7.58e-04h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 1.18e+02 1.87e+10 2.1 1.07e+00 9.1 3.45e-01 5.39e-02h 1\n", - " 61r 0.0000000e+00 1.18e+02 1.80e+10 2.1 1.23e+00 8.7 1.00e+00 3.94e-02h 1\n", - " 62r 0.0000000e+00 1.18e+02 1.81e+10 2.1 1.02e+00 9.1 3.92e-01 9.11e-02h 1\n", - " 63r 0.0000000e+00 1.18e+02 2.49e+10 2.1 9.20e-01 9.5 1.00e+00 1.32e-01h 1\n", - " 64r 0.0000000e+00 1.18e+02 2.48e+10 2.1 1.03e+00 9.0 5.73e-01 3.23e-03h 1\n", - " 65r 0.0000000e+00 1.18e+02 2.46e+10 2.1 9.16e-01 9.5 1.00e+00 1.32e-01h 1\n", - " 66r 0.0000000e+00 1.18e+02 2.17e+10 2.1 9.59e-01 9.0 4.12e-01 1.03e-01h 1\n", - "Reallocating memory for MA57: lfact (3439532)\n", - " 67r 0.0000000e+00 1.18e+02 2.17e+10 2.1 7.76e-01 9.4 1.00e+00 1.05e-03h 1\n", - " 68r 0.0000000e+00 1.18e+02 1.63e+10 2.1 8.80e-01 8.9 3.34e-01 1.97e-01h 1\n", - " 69r 0.0000000e+00 1.18e+02 1.63e+10 2.1 6.86e-01 9.4 5.37e-01 2.10e-03h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 1.18e+02 1.62e+10 2.1 6.94e-01 9.8 9.06e-01 2.62e-03h 1\n", - " 71r 0.0000000e+00 1.18e+02 1.57e+10 2.1 7.62e-01 9.3 3.10e-01 3.42e-02h 1\n", - " 72r 0.0000000e+00 1.18e+02 1.53e+10 2.1 1.07e+00 9.7 1.00e+00 2.64e-02h 1\n", - " 73r 0.0000000e+00 1.18e+02 6.33e+10 2.1 1.05e+00 9.3 2.65e-01 2.27e-01h 1\n", - " 74r 0.0000000e+00 1.18e+02 6.32e+10 2.1 9.86e-01 9.7 3.20e-01 1.81e-03h 1\n", - " 75r 0.0000000e+00 1.18e+02 6.30e+10 2.1 1.13e+00 9.2 7.97e-01 3.20e-03h 1\n", - " 76r 0.0000000e+00 1.18e+02 2.03e+11 2.1 1.13e+00 9.6 2.32e-01 4.25e-01h 1\n", - " 77r 0.0000000e+00 1.18e+02 1.74e+10 2.1 9.44e-01 9.2 6.09e-01 1.00e+00f 1\n", - " 78r 0.0000000e+00 1.18e+02 1.43e+10 2.1 1.06e-01 9.6 7.46e-01 9.70e-01f 1\n", - " 79r 0.0000000e+00 1.18e+02 3.85e+09 2.1 5.72e-02 9.1 2.97e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 1.18e+02 2.81e+08 2.1 7.25e-03 8.6 9.81e-01 1.00e+00f 1\n", - " 81r 0.0000000e+00 1.18e+02 6.36e+05 2.1 1.01e-03 8.1 9.94e-01 1.00e+00f 1\n", - " 82r 0.0000000e+00 1.18e+02 2.53e+05 2.1 5.42e-03 7.7 1.00e+00 1.00e+00f 1\n", - " 83r 0.0000000e+00 1.18e+02 3.07e+04 2.1 1.98e-03 7.2 1.00e+00 1.00e+00f 1\n", - " 84r 0.0000000e+00 1.18e+02 1.99e+04 2.1 3.85e-03 6.7 1.00e+00 1.00e+00f 1\n", - " 85r 0.0000000e+00 1.18e+02 8.16e+03 2.1 4.72e-03 6.2 1.00e+00 1.00e+00f 1\n", - " 86r 0.0000000e+00 1.18e+02 5.14e+03 2.1 8.92e-03 5.8 1.00e+00 1.00e+00f 1\n", - " 87r 0.0000000e+00 1.18e+02 1.05e+03 1.4 5.45e-03 5.3 1.00e+00 1.00e+00f 1\n", - " 88r 0.0000000e+00 1.18e+02 1.02e+03 1.4 1.60e-02 4.8 1.00e+00 1.00e+00f 1\n", - " 89r 0.0000000e+00 1.18e+02 1.06e+03 1.4 4.95e-02 4.3 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 1.18e+02 5.37e+03 1.4 2.07e-01 3.9 1.00e+00 8.16e-01f 1\n", - " 91r 0.0000000e+00 1.18e+02 5.34e+03 1.4 5.87e-02 5.2 1.00e+00 6.18e-01f 1\n", - " 92r 0.0000000e+00 1.18e+02 8.66e+03 1.4 5.72e-02 4.7 1.00e+00 1.00e+00f 1\n", - " 93r 0.0000000e+00 1.17e+02 2.17e+04 1.4 1.04e-01 4.2 1.00e+00 1.00e+00f 1\n", - " 94r 0.0000000e+00 1.17e+02 6.56e+04 1.4 4.99e-02 5.6 1.00e+00 8.02e-01f 1\n", - " 95r 0.0000000e+00 1.17e+02 3.06e+04 1.4 3.19e-02 6.0 1.00e+00 1.00e+00f 1\n", - " 96r 0.0000000e+00 1.17e+02 9.63e+02 1.4 3.02e-03 5.5 1.00e+00 1.00e+00f 1\n", - " 97r 0.0000000e+00 1.17e+02 9.97e+02 0.7 9.36e-03 5.0 1.00e+00 1.00e+00f 1\n", - " 98r 0.0000000e+00 1.17e+02 1.01e+03 0.7 2.84e-02 4.6 1.00e+00 1.00e+00f 1\n", - " 99r 0.0000000e+00 1.17e+02 1.01e+03 0.7 8.60e-02 4.1 1.00e+00 5.73e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 1.17e+02 1.66e+03 0.7 2.50e-01 3.6 6.44e-01 3.04e-01f 1\n", - " 101r 0.0000000e+00 1.17e+02 1.52e+03 0.7 9.40e-02 4.0 1.00e+00 4.96e-01f 1\n", - " 102r 0.0000000e+00 1.17e+02 1.75e+03 0.7 4.65e-01 3.5 6.09e-01 1.84e-01f 1\n", - " 103r 0.0000000e+00 1.17e+02 9.90e+02 0.7 1.11e-01 4.0 1.00e+00 5.80e-01f 1\n", - " 104r 0.0000000e+00 1.17e+02 9.84e+02 0.7 3.24e-01 3.5 1.00e+00 3.08e-01f 1\n", - " 105r 0.0000000e+00 1.17e+02 1.17e+03 0.7 9.64e-01 3.0 9.71e-01 2.45e-01f 1\n", - " 106r 0.0000000e+00 1.17e+02 1.10e+03 0.7 3.51e-01 3.4 1.00e+00 3.65e-01f 1\n", - " 107r 0.0000000e+00 1.17e+02 2.03e+04 0.7 1.87e+00 3.0 8.89e-01 2.82e-01f 1\n", - " 108r 0.0000000e+00 1.17e+02 1.50e+04 0.7 4.55e-01 3.4 1.00e+00 2.47e-01f 1\n", - " 109r 0.0000000e+00 1.17e+02 2.14e+04 0.7 3.02e+00 2.9 6.32e-01 2.87e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 1.17e+02 1.41e+04 0.7 6.33e-01 3.3 1.00e+00 2.10e-01f 1\n", - " 111r 0.0000000e+00 1.17e+02 2.61e+03 0.7 3.31e-01 3.8 1.00e+00 1.00e+00f 1\n", - " 112r 0.0000000e+00 1.17e+02 2.20e+03 0.7 5.27e-01 3.3 1.00e+00 3.37e-01f 1\n", - " 113r 0.0000000e+00 1.16e+02 6.47e+04 0.7 2.32e-01 3.7 1.00e+00 7.33e-01f 1\n", - " 114r 0.0000000e+00 1.16e+02 6.53e+04 0.7 5.55e-01 4.1 1.26e-01 1.46e-01f 1\n", - " 115r 0.0000000e+00 1.16e+02 1.91e+05 0.7 2.51e-01 4.6 4.30e-01 4.98e-01f 1\n", - " 116r 0.0000000e+00 1.16e+02 1.49e+05 0.7 9.37e-01 4.1 2.97e-01 1.05e-01f 1\n", - " 117r 0.0000000e+00 1.16e+02 1.23e+05 0.7 2.50e-01 3.6 1.00e+00 1.51e-01f 1\n", - " 118r 0.0000000e+00 1.16e+02 5.76e+04 0.7 7.62e-01 3.1 1.00e+00 4.80e-01f 1\n", - " 119r 0.0000000e+00 1.16e+02 4.77e+04 0.7 1.35e-01 3.6 8.49e-01 1.68e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 0.0000000e+00 1.16e+02 3.35e+03 0.7 8.27e-02 4.0 1.00e+00 1.00e+00f 1\n", - " 121r 0.0000000e+00 1.16e+02 1.28e+03 0.7 1.52e-01 3.5 1.00e+00 5.96e-01f 1\n", - " 122r 0.0000000e+00 1.16e+02 4.92e+02 0.7 4.56e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 123r 0.0000000e+00 1.16e+02 3.15e+04 0.7 1.08e+01 2.6 4.51e-02 4.43e-02f 1\n", - " 124r 0.0000000e+00 1.14e+02 2.05e+04 0.7 4.07e+00 2.1 1.00e+00 4.12e-01f 1\n", - " 125r 0.0000000e+00 1.02e+02 7.25e+03 0.7 1.19e+01 1.6 1.00e+00 1.00e+00f 1\n", - " 126r 0.0000000e+00 6.89e+01 2.53e+03 0.7 3.31e+01 1.1 1.00e+00 1.00e+00f 1\n", - " 127r 0.0000000e+00 2.55e+01 1.52e+03 0.7 7.96e+01 0.6 1.00e+00 8.47e-01f 1\n", - " 128r 0.0000000e+00 1.39e+01 1.80e+03 0.7 4.80e-01 2.9 7.21e-01 5.86e-01f 1\n", - " 129r 0.0000000e+00 1.04e+01 1.79e+03 0.7 1.43e+00 2.4 5.90e-01 2.87e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r 0.0000000e+00 8.01e+00 1.59e+03 0.7 4.16e+00 1.9 6.40e-01 2.11e-01f 1\n", - " 131r 0.0000000e+00 3.48e+00 1.49e+04 0.7 1.92e-01 3.3 5.26e-01 9.48e-01f 1\n", - " 132r 0.0000000e+00 3.13e+00 1.48e+04 0.7 1.31e+00 2.8 4.77e-01 1.05e-01h 1\n", - " 133r 0.0000000e+00 2.38e+00 7.30e+03 0.7 6.05e+00 2.3 2.52e-01 2.21e-01f 1\n", - " 134r 0.0000000e+00 2.38e+00 7.24e+03 0.7 6.97e-01 4.5 2.22e-02 3.55e-03h 1\n", - " 135r 0.0000000e+00 2.32e+00 6.52e+03 0.7 6.46e-01 5.0 2.11e-02 2.59e-02h 1\n", - " 136r 0.0000000e+00 2.21e+00 6.03e+03 0.7 5.78e-01 4.5 4.53e-02 4.54e-02h 3\n", - " 137r 0.0000000e+00 2.83e+00 5.13e+04 0.7 6.94e-01 4.0 2.99e-01 5.00e-01h 2\n", - " 138r 0.0000000e+00 2.51e+00 5.05e+04 0.7 3.52e-01 4.4 2.82e-02 1.52e-02H 1\n", - " 139r 0.0000000e+00 2.29e+00 4.72e+04 0.7 3.54e-01 4.9 1.27e-01 6.68e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r 0.0000000e+00 9.33e-01 6.79e+04 0.7 7.21e-01 4.4 5.70e-02 8.54e-02h 2\n", - " 141r 0.0000000e+00 9.17e-01 1.18e+05 0.7 2.67e-01 5.7 1.00e+00 5.82e-02h 1\n", - " 142r 0.0000000e+00 1.80e+00 4.76e+04 0.7 2.58e-01 5.2 4.98e-01 1.00e+00H 1\n", - " 143r 0.0000000e+00 6.51e-01 9.20e+02 0.7 1.62e-02 4.8 1.00e+00 1.00e+00f 1\n", - " 144r 0.0000000e+00 6.23e-01 5.50e+02 0.7 2.91e-02 4.3 1.00e+00 1.00e+00f 1\n", - " 145r 0.0000000e+00 5.45e-01 5.00e+02 0.7 7.94e-02 3.8 1.00e+00 1.00e+00f 1\n", - " 146r 0.0000000e+00 3.11e-01 4.97e+02 0.7 2.36e-01 3.3 1.00e+00 1.00e+00f 1\n", - " 147r 0.0000000e+00 1.16e-01 4.88e+02 0.7 6.83e-01 2.8 1.00e+00 4.56e-01f 1\n", - " 148r 0.0000000e+00 3.65e-01 1.63e+02 0.7 8.57e-02 2.4 1.00e+00 1.00e+00f 1\n", - " 149r 0.0000000e+00 9.43e-01 5.23e+02 -0.0 1.09e+02 - 2.24e-01 5.24e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150r 0.0000000e+00 1.33e+00 3.35e+02 -0.0 4.38e+01 - 8.67e-01 6.84e-01f 1\n", - " 151r 0.0000000e+00 5.18e+00 3.66e+02 -0.0 1.38e+01 - 7.69e-01 1.00e+00f 1\n", - " 152r 0.0000000e+00 1.98e+00 5.89e+01 -0.0 5.38e-01 - 1.00e+00 1.00e+00h 1\n", - " 153r 0.0000000e+00 1.21e+00 2.04e+02 -0.0 2.08e-01 - 1.00e+00 1.00e+00h 1\n", - " 154r 0.0000000e+00 1.35e-01 2.40e+01 -0.0 4.11e-02 1.9 1.00e+00 1.00e+00h 1\n", - " 155r 0.0000000e+00 1.76e+00 7.57e+02 -0.7 5.60e+01 - 2.84e-02 2.64e-02f 1\n", - " 156r 0.0000000e+00 8.74e-01 6.11e+02 -0.7 3.44e+01 - 8.05e-01 5.04e-01f 1\n", - " 157r 0.0000000e+00 1.08e+00 3.68e+02 -0.7 1.71e+01 - 2.20e-01 6.44e-01f 1\n", - " 158r 0.0000000e+00 7.99e-01 1.59e+02 -0.7 6.10e+00 - 2.10e-01 2.47e-01f 1\n", - " 159r 0.0000000e+00 4.42e-01 4.35e+02 -0.7 4.60e+00 - 1.00e+00 4.34e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r 0.0000000e+00 3.28e-01 2.30e+02 -0.7 2.61e+00 - 1.00e+00 1.00e+00f 1\n", - " 161r 0.0000000e+00 9.81e-02 2.32e+02 -0.7 8.41e-02 - 1.00e+00 1.00e+00f 1\n", - " 162r 0.0000000e+00 9.81e-02 7.79e+01 -0.7 2.21e-02 - 1.00e+00 1.00e+00f 1\n", - " 163r 0.0000000e+00 9.81e-02 5.64e+01 -0.7 1.66e-02 - 1.00e+00 5.00e-01f 2\n", - " 164r 0.0000000e+00 9.80e-02 3.03e+01 -0.7 6.89e-03 - 1.00e+00 1.00e+00f 1\n", - " 165r 0.0000000e+00 9.80e-02 1.15e+01 -0.7 4.24e-03 - 1.00e+00 1.00e+00f 1\n", - " 166r 0.0000000e+00 9.80e-02 5.52e-01 -0.7 7.98e-04 - 1.00e+00 1.00e+00f 1\n", - " 167r 0.0000000e+00 3.63e-01 4.92e+02 -2.1 1.35e+00 - 6.33e-01 1.98e-01f 1\n", - " 168r 0.0000000e+00 4.04e-01 3.72e+02 -2.1 2.49e+02 - 2.33e-01 2.46e-01f 1\n", - " 169r 0.0000000e+00 4.36e-01 5.96e+02 -2.1 1.86e+02 - 9.00e-01 1.66e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r 0.0000000e+00 4.30e-01 4.71e+02 -2.1 1.62e+01 - 8.64e-01 1.52e-02f 1\n", - " 171r 0.0000000e+00 7.42e-01 1.56e+02 -2.1 9.37e-01 - 9.42e-01 6.71e-01f 1\n", - " 172r 0.0000000e+00 7.11e-01 1.30e+02 -2.1 6.70e-01 - 1.00e+00 3.79e-01f 1\n", - " 173r 0.0000000e+00 5.38e-01 7.88e+01 -2.1 4.66e-01 - 7.51e-01 5.68e-01f 1\n", - " 174r 0.0000000e+00 4.63e-01 1.27e+02 -2.1 4.30e-01 - 3.60e-01 1.83e-01f 1\n", - " 175r 0.0000000e+00 3.66e-01 1.39e+02 -2.1 4.07e-01 - 2.02e-01 4.46e-01f 1\n", - " 176r 0.0000000e+00 2.79e-01 7.79e+01 -2.1 3.42e-01 - 4.77e-01 4.41e-01f 1\n", - " 177r 0.0000000e+00 2.46e-01 1.89e+02 -2.1 2.97e-01 - 2.93e-01 1.36e-01f 1\n", - " 178r 0.0000000e+00 1.78e-01 1.01e+02 -2.1 2.86e-01 - 4.68e-01 4.63e-01f 1\n", - " 179r 0.0000000e+00 1.74e-01 9.93e+01 -2.1 5.50e-01 - 3.64e-02 2.36e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r 0.0000000e+00 1.44e-01 7.27e+01 -2.1 2.62e-01 - 2.28e-01 2.62e-01f 1\n", - " 181r 0.0000000e+00 1.26e-01 7.26e+01 -2.1 2.47e-01 - 2.18e-01 1.61e-01f 1\n", - " 182r 0.0000000e+00 1.04e-01 1.25e+02 -2.1 2.34e-01 - 1.60e-01 2.83e-01f 1\n", - " 183r 0.0000000e+00 8.08e-02 1.70e+02 -2.1 4.63e-02 2.3 1.46e-01 2.25e-01f 1\n", - " 184r 0.0000000e+00 4.75e-02 2.99e+02 -2.1 3.16e-02 1.8 2.11e-01 4.12e-01f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 185r 0.0000000e+00 3.13e-02 2.07e+02 -2.1 1.60e-01 1.4 2.36e-01 3.45e-01f 1\n", - " 186r 0.0000000e+00 3.10e-02 2.04e+02 -2.1 1.29e+00 0.9 2.65e-02 9.96e-03f 1\n", - " 187r 0.0000000e+00 2.63e-02 2.92e+02 -2.1 1.15e-01 1.3 4.47e-01 1.51e-01f 1\n", - " 188r 0.0000000e+00 1.27e-02 2.44e+02 -2.1 3.27e-02 1.7 9.34e-01 5.22e-01f 1\n", - " 189r 0.0000000e+00 1.78e-02 2.48e+02 -2.1 1.33e+00 - 5.58e-02 3.13e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190r 0.0000000e+00 1.83e-02 2.66e+02 -2.1 1.07e+00 - 2.85e-02 1.73e-02f 1\n", - " 191r 0.0000000e+00 1.87e-02 2.58e+02 -2.1 6.99e+00 - 3.66e-03 5.23e-03f 1\n", - " 192r 0.0000000e+00 2.58e-02 5.34e+02 -2.1 7.62e-01 - 1.97e-01 6.84e-02f 1\n", - " 193r 0.0000000e+00 3.42e-02 4.53e+02 -2.1 4.14e-01 - 1.51e-01 1.52e-01f 1\n", - " 194r 0.0000000e+00 3.40e-02 4.46e+02 -2.1 1.99e+00 - 1.53e-02 1.24e-02f 1\n", - " 195r 0.0000000e+00 3.39e-02 4.42e+02 -2.1 2.54e+00 - 1.03e-02 1.22e-02f 1\n", - " 196r 0.0000000e+00 3.91e-02 7.52e+02 -2.1 3.23e-01 - 8.25e-02 1.87e-01f 1\n", - " 197r 0.0000000e+00 3.74e-02 6.70e+02 -2.1 2.53e-01 - 1.58e-01 1.19e-01f 1\n", - " 198r 0.0000000e+00 1.14e-02 4.17e+02 -2.1 3.30e-02 1.3 3.01e-01 7.12e-01f 1\n", - " 199r 0.0000000e+00 1.19e-02 4.13e+02 -2.1 6.05e+00 - 6.87e-03 8.40e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200r 0.0000000e+00 1.72e-02 3.86e+02 -2.1 4.34e-01 - 1.57e-01 9.72e-02f 1\n", - " 201r 0.0000000e+00 1.76e-02 3.80e+02 -2.1 3.45e+00 - 1.62e-02 1.45e-02f 1\n", - " 202r 0.0000000e+00 1.97e-02 3.52e+02 -2.1 3.25e-01 - 1.72e-01 1.03e-01f 1\n", - " 203r 0.0000000e+00 2.29e-02 2.96e+02 -2.1 3.73e-01 - 1.10e-01 1.47e-01f 1\n", - " 204r 0.0000000e+00 2.39e-02 2.76e+02 -2.1 6.83e-01 - 6.91e-02 6.77e-02f 1\n", - " 205r 0.0000000e+00 2.45e-02 2.53e+02 -2.1 3.30e-01 - 1.52e-01 9.69e-02f 1\n", - " 206r 0.0000000e+00 5.75e-03 1.21e+02 -2.1 4.91e-02 0.8 7.99e-01 1.00e+00f 1\n", - " 207r 0.0000000e+00 9.44e-03 1.17e+02 -2.1 1.71e+00 - 4.50e-02 4.22e-02f 1\n", - " 208r 0.0000000e+00 1.49e-02 2.64e+02 -2.1 1.76e-01 - 4.90e-01 2.98e-01f 1\n", - " 209r 0.0000000e+00 1.21e-02 4.71e+01 -2.1 6.50e-02 - 1.00e+00 8.69e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 210r 0.0000000e+00 1.54e-04 6.60e-02 -2.1 8.64e-03 - 1.00e+00 1.00e+00f 1\n", - " 211r 0.0000000e+00 8.32e-03 2.66e+02 -3.1 1.70e-01 - 1.00e+00 3.16e-01f 1\n", - " 212r 0.0000000e+00 7.07e-03 3.18e+02 -3.1 6.47e-02 - 1.00e+00 4.06e-01f 1\n", - " 213r 0.0000000e+00 2.07e-03 9.43e+01 -3.1 1.83e-02 - 1.00e+00 8.19e-01f 1\n", - " 214r 0.0000000e+00 7.20e-06 3.92e-02 -3.1 1.26e-03 - 1.00e+00 1.00e+00f 1\n", - " 215r 0.0000000e+00 1.23e-06 3.92e-04 -3.1 3.56e-05 - 1.00e+00 1.00e+00h 1\n", - " 216r 0.0000000e+00 4.09e-06 4.25e+01 -7.1 1.48e-03 - 1.00e+00 7.80e-01f 1\n", - " 217r 0.0000000e+00 1.50e-06 9.53e+01 -7.1 1.69e-04 - 8.95e-01 6.42e-01f 1\n", - " 218r 0.0000000e+00 5.34e-07 9.11e+01 -7.1 1.32e-04 - 8.86e-01 6.58e-01f 1\n", - " 219r 0.0000000e+00 1.86e-07 9.20e+01 -7.1 4.81e-05 - 8.89e-01 6.57e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 220r 0.0000000e+00 6.27e-08 9.06e+01 -7.1 1.66e-05 - 8.94e-01 6.65e-01f 1\n", - " 221r 0.0000000e+00 1.96e-08 8.59e+01 -7.1 5.57e-06 - 9.09e-01 6.89e-01f 1\n", - " 222r 0.0000000e+00 4.59e-09 7.01e+01 -7.1 1.74e-06 - 9.55e-01 7.65e-01f 1\n", - "\n", - "Number of Iterations....: 222\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.9741267815058468e-09 4.5940247161979642e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.9741267815058468e-09 4.5940247161979642e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 239\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 239\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 224\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 222\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 25.428\n", - "Total CPU secs in NLP function evaluations = 10.980\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Output this time: [0.000199428298248, 8.160547094003771e-05, 8.069649505447378e-05, 8.060166108515925e-05, 8.057984272852503e-05, 8.065787937684632e-05, 8.087827234107643e-05, 8.131340758295783e-05, 8.20815688574739e-05, 8.334434752211531e-05, 8.539285827429546e-05, 8.859174871842239e-05, 9.360601841983494e-05, 0.00010127782988591431, 0.00011301092460419748, 0.0001307828000618434, 0.00015728135828399053, 0.00019707162156057005, 0.0002547792120555355, 0.0003402757335667687, 0.0004610756057823747, 0.0006362307622495009, 0.0008792664618905705, 0.0012211453264872824, 0.0016927260112450527, 0.002331773203454743, 0.003217265218328631, 0.0043710928880343405, 0.005979258929274563, 0.00800837982408047, 0.010816592387350712, 0.014298942215562646, 0.01901629640302959, 0.024047549026016662, 0.02883129665831667, 0.03321098616632046, 0.03716272337492389, 0.04070145579248538, 0.043855052535026064, 0.046655645288881484, 0.04913606880381089, 0.05132818749323189, 0.05326206770971535, 0.0549655849540957, 0.05646427456041917, 0.057781324629007626, 0.05893765277264198, 0.059952030971688636, 0.06084123598119429, 0.06162021081401265, 0.06230222800259115, 0.06289904875240838, 0.06342107438306864, 0.06387748799324938, 0.06427638532489933, 0.06462489449799835, 0.06492928474550932, 0.06519506457119746, 0.0654270699309776, 0.06562954313664959, 0.06580620322422709, 0.06596030853526802, 0.06609471224126469, 0.0662119115071854, 0.0663140909469982, 0.06640316097586925, 0.06648079161378631, 0.06654844224569662, 0.06660738779561366]\n", - "This scenario: {'fitted_transport_coefficient': {0: 209.88}, 'ua': {0: 15.424948470398375}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.0987999999999998, 'ua': 0.15424948470398375}, 'scena-name': [0]}\n", - "The inlet feed density is 41.0275814575221 [mol/m3]\n", - "the number of timepoints is 68\n", - "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", - "Model # of time grid is 69 , initial point # of time grid is 69\n", - "Parameters: 209.88 , 15.424948470398375\n", - "temp_feed is fixed at 313.15\n", - "temp_bath is fixed at 313.15\n", - "yfeed is fixed at 0.15\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 1.07e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reallocating memory for MA57: lfact (2559598)\n", - " 1 0.0000000e+00 1.07e+02 2.56e+02 -1.0 1.07e+02 - 7.48e-01 2.98e-03h 1\n", - " 2 0.0000000e+00 1.07e+02 2.46e+06 -1.0 1.07e+02 - 2.89e-01 2.98e-05h 1\n", - " 3r 0.0000000e+00 1.07e+02 1.00e+03 2.0 0.00e+00 - 0.00e+00 1.49e-07R 2\n", - " 4r 0.0000000e+00 1.05e+02 2.78e+04 2.0 1.32e+02 - 1.52e-02 1.90e-02f 1\n", - " 5r 0.0000000e+00 9.66e+03 5.85e+05 2.0 1.31e+02 - 1.32e-01 5.64e-02f 1\n", - " 6r 0.0000000e+00 6.37e+03 3.30e+06 2.0 3.30e-01 6.0 3.23e-01 3.97e-01f 1\n", - " 7r 0.0000000e+00 6.30e+03 3.25e+06 2.0 4.25e-01 6.4 2.72e-01 1.22e-02h 1\n", - " 8r 0.0000000e+00 5.20e+03 2.96e+06 2.0 4.28e-01 5.9 1.00e+00 1.87e-01f 1\n", - " 9r 0.0000000e+00 4.03e+03 3.13e+06 2.0 7.71e-01 5.5 1.99e-01 2.48e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 2.76e+03 6.33e+06 2.0 4.45e-01 5.9 3.80e-01 3.64e-01h 1\n", - " 11r 0.0000000e+00 2.66e+03 6.16e+06 2.0 4.91e-01 6.3 2.09e-01 3.52e-02h 1\n", - " 12r 0.0000000e+00 2.25e+03 5.48e+06 2.0 4.92e-01 5.8 4.07e-01 1.63e-01h 1\n", - " 13r 0.0000000e+00 2.08e+03 5.19e+06 2.0 4.36e-01 6.3 5.75e-01 7.86e-02h 1\n", - " 14r 0.0000000e+00 1.66e+03 4.53e+06 2.0 4.71e-01 5.8 4.80e-01 2.20e-01h 1\n", - " 15r 0.0000000e+00 1.44e+03 5.03e+06 2.0 4.11e-01 6.2 7.26e-01 1.42e-01h 1\n", - " 16r 0.0000000e+00 1.41e+03 5.03e+06 2.0 4.35e-01 6.6 1.00e+00 1.75e-02h 1\n", - " 17r 0.0000000e+00 1.09e+03 7.70e+06 2.0 4.98e-01 6.2 4.33e-01 2.54e-01h 1\n", - " 18r 0.0000000e+00 8.32e+02 6.48e+06 2.0 6.00e-01 5.7 9.63e-02 2.60e-01f 1\n", - " 19r 0.0000000e+00 8.23e+02 6.41e+06 2.0 4.85e-01 6.1 3.14e-01 1.09e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 6.14e+02 5.28e+06 2.0 5.39e-01 5.6 7.63e-01 2.84e-01f 1\n", - " 21r 0.0000000e+00 6.02e+02 5.18e+06 2.0 5.30e-01 6.1 5.39e-01 1.94e-02h 1\n", - " 22r 0.0000000e+00 3.36e+02 4.89e+06 2.0 5.80e-01 5.6 3.00e-01 5.47e-01f 1\n", - " 23r 0.0000000e+00 2.82e+02 4.30e+06 2.0 7.56e-01 5.1 2.50e-01 1.72e-01f 1\n", - " 24r 0.0000000e+00 2.74e+02 4.20e+06 2.0 7.46e-01 5.5 3.59e-01 2.83e-02h 1\n", - " 25r 0.0000000e+00 2.15e+02 3.53e+06 2.0 8.03e-01 5.1 8.04e-01 2.37e-01f 1\n", - " 26r 0.0000000e+00 1.68e+02 3.30e+06 2.0 6.68e-01 5.5 4.36e-01 2.41e-01f 1\n", - " 27r 0.0000000e+00 9.95e+01 2.02e+06 2.0 6.74e-01 5.0 7.39e-01 1.00e+00f 1\n", - " 28r 0.0000000e+00 9.95e+01 1.84e+06 2.0 7.90e-01 5.4 1.39e-01 9.12e-02h 1\n", - " 29r 0.0000000e+00 9.95e+01 1.82e+06 2.0 8.01e-01 5.9 3.16e-01 1.12e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 9.95e+01 1.61e+06 2.0 8.87e-01 5.4 3.78e-01 1.24e-01h 1\n", - " 31r 0.0000000e+00 9.95e+01 1.54e+06 2.0 9.42e-01 5.8 4.39e-01 4.45e-02h 1\n", - " 32r 0.0000000e+00 9.95e+01 3.54e+06 2.0 9.75e-01 5.3 5.62e-01 4.89e-01f 1\n", - " 33r 0.0000000e+00 9.95e+01 4.05e+06 2.0 6.06e-01 5.8 5.55e-01 2.34e-01h 1\n", - " 34r 0.0000000e+00 9.95e+01 4.14e+06 2.0 6.42e-01 5.3 2.42e-01 8.44e-02h 1\n", - " 35r 0.0000000e+00 9.95e+01 3.57e+06 2.0 1.20e+00 4.8 8.58e-01 2.07e-01f 1\n", - " 36r 0.0000000e+00 9.95e+01 3.75e+06 2.0 7.94e-01 5.2 3.43e-01 1.76e-01f 1\n", - " 37r 0.0000000e+00 9.95e+01 2.89e+06 2.0 9.73e-01 4.8 4.31e-01 2.37e-01f 1\n", - " 38r 0.0000000e+00 9.95e+01 2.50e+06 2.0 7.89e-01 5.2 5.41e-01 2.09e-01f 1\n", - " 39r 0.0000000e+00 9.95e+01 1.86e+06 2.0 9.86e-01 4.7 3.79e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 9.95e+01 1.30e+06 2.0 1.16e-01 6.0 7.90e-01 3.81e-01h 1\n", - " 41r 0.0000000e+00 9.95e+01 1.82e+05 2.0 9.20e-02 5.6 1.00e+00 1.00e+00f 1\n", - " 42r 0.0000000e+00 9.95e+01 5.11e+04 2.0 1.88e-02 5.1 1.00e+00 1.00e+00f 1\n", - " 43r 0.0000000e+00 9.94e+01 5.19e+03 2.0 3.43e-02 4.6 1.00e+00 1.00e+00f 1\n", - " 44r 0.0000000e+00 9.94e+01 1.17e+04 1.3 1.38e-01 4.1 9.04e-01 1.00e+00f 1\n", - " 45r 0.0000000e+00 9.94e+01 2.55e+04 1.3 5.11e-02 5.5 1.00e+00 1.00e+00f 1\n", - " 46r 0.0000000e+00 9.94e+01 5.83e+06 1.3 3.65e+00 5.0 2.08e-02 3.70e-02f 1\n", - " 47r 0.0000000e+00 9.94e+01 5.95e+06 1.3 4.63e-02 8.1 1.00e+00 1.00e+00f 1\n", - " 48r 0.0000000e+00 9.94e+01 2.27e+06 1.3 1.47e-02 7.6 3.37e-01 1.00e+00f 1\n", - " 49r 0.0000000e+00 9.94e+01 2.21e+05 1.3 5.65e-03 7.2 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 9.94e+01 3.59e+03 1.3 8.23e-04 6.7 1.00e+00 1.00e+00f 1\n", - " 51r 0.0000000e+00 9.94e+01 9.82e+02 1.3 6.14e-04 6.2 1.00e+00 1.00e+00f 1\n", - " 52r 0.0000000e+00 9.94e+01 9.82e+02 1.3 1.84e-03 5.7 1.00e+00 1.00e+00f 1\n", - " 53r 0.0000000e+00 9.94e+01 9.82e+02 1.3 5.53e-03 5.2 1.00e+00 1.00e+00f 1\n", - " 54r 0.0000000e+00 9.94e+01 9.82e+02 1.3 1.66e-02 4.8 1.00e+00 1.00e+00f 1\n", - " 55r 0.0000000e+00 9.94e+01 9.78e+02 1.3 4.96e-02 4.3 1.00e+00 1.00e+00f 1\n", - " 56r 0.0000000e+00 9.93e+01 2.91e+03 1.3 1.46e-01 3.8 1.00e+00 9.75e-01f 1\n", - " 57r 0.0000000e+00 9.93e+01 3.85e+03 1.3 5.70e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 58r 0.0000000e+00 9.92e+01 2.70e+04 1.3 2.08e-01 3.8 9.26e-01 7.48e-01f 1\n", - " 59r 0.0000000e+00 9.92e+01 5.27e+04 1.3 3.05e-02 6.0 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 9.92e+01 5.84e+04 1.3 1.83e-02 5.5 1.00e+00 1.00e+00f 1\n", - " 61r 0.0000000e+00 9.92e+01 1.43e+04 1.3 1.15e-02 5.0 1.00e+00 1.00e+00f 1\n", - " 62r 0.0000000e+00 9.92e+01 4.40e+03 1.3 2.61e-02 4.6 1.00e+00 1.00e+00f 1\n", - " 63r 0.0000000e+00 9.92e+01 3.28e+03 1.3 7.80e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 64r 0.0000000e+00 9.91e+01 1.50e+03 1.3 2.53e-01 3.6 1.00e+00 7.48e-01f 1\n", - " 65r 0.0000000e+00 9.91e+01 9.38e+02 1.3 8.57e-02 4.0 1.00e+00 1.00e+00f 1\n", - " 66r 0.0000000e+00 9.90e+01 9.44e+02 0.6 2.62e-01 3.6 1.00e+00 7.07e-01f 1\n", - " 67r 0.0000000e+00 9.89e+01 7.88e+02 0.6 6.48e-01 3.1 1.00e+00 2.68e-01f 1\n", - " 68r 0.0000000e+00 9.86e+01 5.21e+02 0.6 1.22e+00 2.6 1.00e+00 2.02e-01f 1\n", - " 69r 0.0000000e+00 9.79e+01 4.93e+02 0.6 3.63e+00 2.1 1.00e+00 1.96e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 9.29e+01 7.32e+02 0.6 1.07e+01 1.7 1.00e+00 4.67e-01f 1\n", - " 71r 0.0000000e+00 6.25e+01 1.36e+03 0.6 3.04e+01 1.2 1.00e+00 1.00e+00f 1\n", - " 72r 0.0000000e+00 6.15e+01 6.05e+02 0.6 1.42e+00 2.5 1.00e+00 6.96e-01f 1\n", - " 73r 0.0000000e+00 5.73e+01 8.45e+02 0.6 4.23e+00 2.0 1.00e+00 1.00e+00f 1\n", - " 74r 0.0000000e+00 5.14e+01 5.76e+02 0.6 1.23e+01 1.6 1.00e+00 4.77e-01f 1\n", - " 75r 0.0000000e+00 1.69e+01 4.10e+02 0.6 3.46e+01 1.1 1.00e+00 1.00e+00f 1\n", - " 76r 0.0000000e+00 1.16e+00 3.94e+02 0.6 8.25e+01 0.6 1.00e+00 1.92e-01f 1\n", - " 77r 0.0000000e+00 9.59e-01 3.90e+02 0.6 3.27e+01 1.0 1.00e+00 6.15e-03f 1\n", - " 78r 0.0000000e+00 8.02e-01 4.23e+02 0.6 1.92e+01 0.5 1.00e+00 4.97e-02f 1\n", - " 79r 0.0000000e+00 1.61e+03 2.23e+05 0.6 1.15e+01 0.1 2.12e-01 3.35e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 1.11e+03 1.53e+05 0.6 1.61e-01 4.1 4.53e-01 3.56e-01h 1\n", - " 81r 0.0000000e+00 8.46e+02 1.16e+05 0.6 3.06e-01 3.6 9.39e-02 2.63e-01f 1\n", - " 82r 0.0000000e+00 7.56e+02 1.04e+05 0.6 1.73e+00 3.2 2.68e-01 9.68e-02f 1\n", - " 83r 0.0000000e+00 4.67e+02 6.40e+04 0.6 3.25e-01 3.6 5.21e-01 4.55e-01h 1\n", - " 84r 0.0000000e+00 1.50e+02 5.01e+04 0.6 4.58e-01 3.1 9.22e-01 9.84e-01h 1\n", - " 85r 0.0000000e+00 1.39e+02 4.63e+04 0.6 1.26e+00 4.4 7.31e-02 7.82e-02h 1\n", - " 86r 0.0000000e+00 1.36e+02 4.52e+04 0.6 1.45e+00 4.0 1.04e-01 2.40e-02h 1\n", - " 87r 0.0000000e+00 8.76e+01 5.36e+05 0.6 1.02e+00 4.4 7.99e-02 4.19e-01h 1\n", - " 88r 0.0000000e+00 7.88e+01 4.66e+05 0.6 7.16e-01 3.9 4.08e-01 1.05e-01f 1\n", - " 89r 0.0000000e+00 7.15e+01 4.14e+05 0.6 1.53e-01 4.3 2.88e-01 9.62e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 5.76e+01 3.12e+05 0.6 2.43e-01 3.9 5.45e-01 2.13e-01f 1\n", - " 91r 0.0000000e+00 1.95e+01 1.19e+05 0.6 1.76e-01 4.3 3.21e-01 1.00e+00h 1\n", - " 92r 0.0000000e+00 1.12e+01 1.53e+05 0.6 4.83e-02 4.7 5.73e-01 5.54e-01h 1\n", - " 93r 0.0000000e+00 1.01e+01 9.69e+05 0.6 8.39e-01 5.1 1.96e-02 1.04e-01h 1\n", - " 94r 0.0000000e+00 5.84e+00 2.62e+06 0.6 9.70e-01 4.7 8.92e-02 5.38e-01h 1\n", - " 95r 0.0000000e+00 2.62e+00 1.26e+06 0.6 1.17e+00 4.2 1.00e+00 6.61e-01h 1\n", - " 96r 0.0000000e+00 9.95e-01 1.75e+06 0.6 6.69e-01 4.6 8.89e-01 1.00e+00f 1\n", - " 97r 0.0000000e+00 9.28e-01 5.37e+05 0.6 1.49e-01 4.1 1.00e+00 1.00e+00h 1\n", - " 98r 0.0000000e+00 8.68e-01 3.43e+05 0.6 2.96e-01 3.6 1.00e+00 3.50e-01f 1\n", - " 99r 0.0000000e+00 7.28e-01 2.04e+05 0.6 1.06e+00 3.2 1.00e+00 3.34e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 6.52e-01 1.89e+05 0.6 1.02e+00 2.7 1.00e+00 7.22e-02f 1\n", - " 101r 0.0000000e+00 1.77e-01 1.47e+05 0.6 2.78e+00 2.2 1.00e+00 2.23e-01f 1\n", - " 102r 0.0000000e+00 1.37e-01 1.05e+05 0.6 7.70e-02 2.6 1.00e+00 2.91e-01h 1\n", - " 103r 0.0000000e+00 3.95e+00 8.13e+04 0.6 7.02e-01 2.2 5.98e-01 2.24e-01f 1\n", - " 104r 0.0000000e+00 1.50e+00 6.22e+03 0.6 5.90e-02 2.6 1.00e+00 9.32e-01f 1\n", - " 105r 0.0000000e+00 2.97e+00 4.47e+03 0.6 5.90e-01 2.1 9.83e-01 2.85e-01f 1\n", - " 106r 0.0000000e+00 4.74e+00 9.13e+02 0.6 3.98e-01 1.6 1.00e+00 8.55e-01f 1\n", - " 107r 0.0000000e+00 3.85e+01 7.36e+03 0.6 2.16e-01 2.1 3.99e-01 1.00e+00f 1\n", - " 108r 0.0000000e+00 1.18e+01 2.57e+03 0.6 1.10e+00 3.4 3.75e-01 2.01e-01f 1\n", - " 109r 0.0000000e+00 1.14e+01 2.48e+03 0.6 3.20e-01 2.9 1.73e-01 3.33e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 2.93e+00 8.47e+02 0.6 1.05e-01 2.4 1.00e+00 1.00e+00f 1\n", - " 111r 0.0000000e+00 6.63e-01 3.25e+02 0.6 7.97e-02 2.9 1.00e+00 1.00e+00f 1\n", - " 112r 0.0000000e+00 2.80e+00 4.43e+02 0.6 7.37e-02 3.3 1.00e+00 1.00e+00f 1\n", - " 113r 0.0000000e+00 1.15e+01 2.34e+03 0.6 1.19e-01 2.8 1.00e+00 8.19e-01f 1\n", - " 114r 0.0000000e+00 3.29e+00 7.57e+02 0.6 6.98e-02 2.3 1.00e+00 1.00e+00f 1\n", - " 115r 0.0000000e+00 7.38e-01 3.88e+02 0.6 2.48e-01 1.9 1.00e+00 1.00e+00f 1\n", - " 116r 0.0000000e+00 7.42e-01 8.45e+02 0.6 4.09e-01 2.3 1.00e+00 2.93e-01H 1\n", - " 117r 0.0000000e+00 5.01e-02 6.09e+01 0.6 2.28e-01 1.8 1.00e+00 1.00e+00f 1\n", - " 118r 0.0000000e+00 1.02e+00 1.31e+03 -0.1 8.69e+01 - 2.79e-01 1.97e-01f 1\n", - " 119r 0.0000000e+00 1.05e+00 1.22e+03 -0.1 5.82e+01 - 6.01e-01 6.20e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 0.0000000e+00 4.50e+00 3.53e+03 -0.1 2.18e+01 - 4.04e-01 7.17e-01f 1\n", - " 121r 0.0000000e+00 6.52e-01 7.74e+02 -0.1 8.73e-01 1.3 8.77e-01 1.00e+00f 1\n", - " 122r 0.0000000e+00 1.73e-01 3.19e+02 -0.1 1.42e-01 1.8 6.41e-01 1.00e+00f 1\n", - " 123r 0.0000000e+00 1.79e+00 1.29e+03 -0.1 6.16e+00 - 1.00e+00 8.87e-01f 1\n", - " 124r 0.0000000e+00 2.48e-01 9.92e+01 -0.1 6.97e-01 - 7.85e-01 1.00e+00f 1\n", - " 125r 0.0000000e+00 3.20e-01 6.82e+02 -0.1 6.68e-01 - 1.00e+00 1.00e+00f 1\n", - " 126r 0.0000000e+00 1.09e-01 7.54e+01 -0.1 1.65e-01 - 1.00e+00 1.00e+00h 1\n", - " 127r 0.0000000e+00 1.65e-01 1.55e+01 -0.1 3.24e-01 - 1.00e+00 1.00e+00f 1\n", - " 128r 0.0000000e+00 1.52e+00 3.64e+02 -0.8 2.09e+00 - 1.00e+00 4.42e-01f 1\n", - " 129r 0.0000000e+00 3.43e-01 1.66e+03 -0.8 9.19e-01 1.3 6.74e-01 6.54e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r 0.0000000e+00 2.45e-01 9.46e+02 -0.8 3.71e+01 - 5.12e-01 2.83e-01f 1\n", - " 131r 0.0000000e+00 3.82e-01 3.07e+02 -0.8 2.66e+01 - 1.00e+00 6.84e-01f 1\n", - " 132r 0.0000000e+00 3.07e-01 2.48e+02 -0.8 8.39e+00 - 1.00e+00 1.00e+00f 1\n", - " 133r 0.0000000e+00 6.94e-02 2.03e+02 -0.8 1.06e-01 - 1.00e+00 1.00e+00f 1\n", - " 134r 0.0000000e+00 6.94e-02 1.34e+02 -0.8 1.54e-02 - 1.00e+00 1.00e+00f 1\n", - " 135r 0.0000000e+00 6.93e-02 9.15e+01 -0.8 1.10e-02 - 1.00e+00 1.00e+00f 1\n", - " 136r 0.0000000e+00 6.93e-02 6.93e+01 -0.8 1.14e-02 - 1.00e+00 1.00e+00f 1\n", - " 137r 0.0000000e+00 6.93e-02 4.69e+02 -0.8 1.13e-01 - 3.71e-01 1.89e-02f 5\n", - " 138r 0.0000000e+00 6.93e-02 1.27e+01 -0.8 3.35e-03 - 1.00e+00 1.00e+00f 1\n", - " 139r 0.0000000e+00 6.93e-02 9.30e-01 -0.8 3.10e-03 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r 0.0000000e+00 5.06e-01 3.69e+02 -2.2 1.36e+00 - 8.94e-01 2.56e-01f 1\n", - " 141r 0.0000000e+00 5.37e-01 3.22e+02 -2.2 2.82e+02 - 9.60e-01 2.30e-01f 1\n", - " 142r 0.0000000e+00 5.35e-01 4.36e+02 -2.2 9.11e+01 - 9.04e-01 4.50e-03f 1\n", - " 143r 0.0000000e+00 6.28e-01 2.81e+02 -2.2 8.98e-01 - 9.75e-01 5.34e-01f 1\n", - " 144r 0.0000000e+00 7.12e-01 1.56e+02 -2.2 6.91e-01 - 7.81e-01 4.55e-01f 1\n", - " 145r 0.0000000e+00 5.51e-01 1.53e+02 -2.2 5.04e-01 - 9.25e-01 4.85e-01f 1\n", - " 146r 0.0000000e+00 4.81e-01 2.68e+02 -2.2 4.51e-01 - 6.20e-01 1.62e-01f 1\n", - " 147r 0.0000000e+00 3.89e-01 1.93e+02 -2.2 4.36e-01 - 1.77e-01 3.64e-01f 1\n", - " 148r 0.0000000e+00 3.42e-01 1.66e+02 -2.2 3.76e-01 - 1.04e-01 1.50e-01f 1\n", - " 149r 0.0000000e+00 2.64e-01 2.19e+02 -2.2 3.53e-01 - 1.00e+00 4.86e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150r 0.0000000e+00 2.35e-01 2.60e+02 -2.2 3.06e-01 - 3.01e-01 1.28e-01f 1\n", - " 151r 0.0000000e+00 1.74e-01 2.02e+02 -2.2 1.25e-01 0.8 1.26e-01 2.66e-01f 1\n", - " 152r 0.0000000e+00 1.47e-01 2.86e+02 -2.2 3.20e-01 - 6.37e-01 2.10e-01f 1\n", - " 153r 0.0000000e+00 1.24e-01 2.39e+02 -2.2 2.97e-01 - 1.44e-01 2.13e-01f 1\n", - " 154r 0.0000000e+00 1.02e-01 2.02e+02 -2.2 4.33e-02 2.1 1.20e-01 1.74e-01f 1\n", - " 155r 0.0000000e+00 7.72e-02 2.20e+02 -2.2 7.27e-02 1.7 1.76e-01 2.47e-01f 1\n", - " 156r 0.0000000e+00 7.07e-02 2.00e+02 -2.2 3.90e-01 1.2 7.24e-02 8.52e-02f 1\n", - " 157r 0.0000000e+00 7.07e-02 2.00e+02 -2.2 2.39e+01 0.7 1.60e-04 3.08e-04f 1\n", - " 158r 0.0000000e+00 6.90e-02 1.97e+02 -2.2 5.12e-01 1.1 9.56e-04 2.43e-02f 1\n", - " 159r 0.0000000e+00 6.88e-02 1.98e+02 -2.2 3.42e+00 1.6 6.33e-05 2.81e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r 0.0000000e+00 6.79e-02 3.14e+02 -2.2 6.09e-01 2.0 3.24e-02 1.23e-02f 1\n", - " 161r 0.0000000e+00 5.28e-02 2.73e+02 -2.2 4.90e-02 1.5 3.39e-01 2.24e-01f 1\n", - " 162r 0.0000000e+00 4.43e-02 3.24e+02 -2.2 2.31e-01 1.0 4.09e-02 1.67e-01f 1\n", - " 163r 0.0000000e+00 2.87e-02 2.01e+02 -2.2 9.36e-02 1.4 2.47e-01 3.58e-01f 1\n", - " 164r 0.0000000e+00 2.71e-02 3.38e+02 -2.2 1.36e-01 1.0 1.98e-01 5.90e-02f 1\n", - " 165r 0.0000000e+00 2.50e-02 2.67e+02 -2.2 1.69e-01 0.5 2.08e-01 2.03e-01f 1\n", - " 166r 0.0000000e+00 4.70e-02 2.44e+02 -2.2 1.00e+00 - 8.70e-02 8.66e-02f 1\n", - " 167r 0.0000000e+00 2.89e-02 1.30e+02 -2.2 7.16e-02 0.9 5.10e-01 4.47e-01f 1\n", - " 168r 0.0000000e+00 2.67e-02 3.17e+02 -2.2 1.63e-01 0.4 4.06e-01 2.63e-01f 1\n", - " 169r 0.0000000e+00 2.98e-02 3.28e+02 -2.2 7.00e-01 - 1.11e-01 5.24e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r 0.0000000e+00 2.98e-02 3.26e+02 -2.2 3.85e+00 - 5.02e-03 6.91e-03f 1\n", - " 171r 0.0000000e+00 3.06e-02 3.26e+02 -2.2 6.76e-01 - 2.56e-02 4.27e-02f 1\n", - " 172r 0.0000000e+00 3.53e-02 4.19e+02 -2.2 4.46e-01 - 7.32e-02 1.09e-01f 1\n", - " 173r 0.0000000e+00 3.44e-02 6.86e+02 -2.2 9.11e-01 -0.0 1.87e-01 3.73e-02f 1\n", - " 174r 0.0000000e+00 3.36e-02 6.72e+02 -2.2 7.69e-01 - 2.26e-02 3.45e-02f 1\n", - " 175r 0.0000000e+00 3.31e-02 6.48e+02 -2.2 5.01e-01 - 3.20e-02 2.30e-02f 1\n", - " 176r 0.0000000e+00 3.29e-02 6.46e+02 -2.2 1.84e+00 - 1.32e-02 1.81e-02f 1\n", - " 177r 0.0000000e+00 3.26e-02 6.33e+02 -2.2 2.06e+00 -0.5 9.88e-03 1.52e-02f 1\n", - " 178r 0.0000000e+00 2.49e-02 4.91e+02 -2.2 6.87e-02 0.8 1.97e-01 2.67e-01f 1\n", - " 179r 0.0000000e+00 2.22e-02 3.54e+02 -2.2 1.48e-01 0.3 3.42e-01 2.03e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r 0.0000000e+00 2.78e-02 2.97e+02 -2.2 3.47e-01 - 1.70e-01 1.53e-01f 1\n", - " 181r 0.0000000e+00 2.75e-02 2.92e+02 -2.2 1.90e+00 -0.1 1.59e-02 1.57e-02f 1\n", - " 182r 0.0000000e+00 2.56e-02 2.60e+02 -2.2 3.73e-01 0.3 1.27e-01 9.25e-02f 1\n", - " 183r 0.0000000e+00 2.56e-02 2.56e+02 -2.2 2.08e+00 - 1.46e-02 2.03e-02f 1\n", - " 184r 0.0000000e+00 2.56e-02 2.53e+02 -2.2 1.44e+00 - 1.17e-02 9.37e-03f 1\n", - " 185r 0.0000000e+00 2.76e-02 2.33e+02 -2.2 4.57e-01 - 7.62e-02 8.33e-02f 1\n", - " 186r 0.0000000e+00 2.78e-02 2.12e+02 -2.2 3.37e-01 - 8.67e-02 9.05e-02f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 187r 0.0000000e+00 1.68e-02 1.67e+02 -2.2 8.19e-02 0.7 3.49e-01 5.29e-01f 1\n", - " 188r 0.0000000e+00 1.65e-02 1.66e+02 -2.2 4.67e-01 0.2 1.18e-01 8.20e-02f 1\n", - " 189r 0.0000000e+00 1.88e-02 1.65e+02 -2.2 6.15e-01 - 6.71e-02 5.14e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190r 0.0000000e+00 1.30e-02 6.99e+01 -2.2 8.25e-02 0.7 7.12e-01 6.39e-01f 1\n", - " 191r 0.0000000e+00 1.54e-02 1.13e+02 -2.2 3.47e-01 - 1.19e-01 1.01e-01f 1\n", - " 192r 0.0000000e+00 2.12e-02 9.06e+01 -2.2 1.99e-01 - 2.59e-01 2.89e-01f 1\n", - " 193r 0.0000000e+00 1.76e-02 1.33e+02 -2.2 8.60e-02 - 1.00e+00 6.29e-01f 1\n", - " 194r 0.0000000e+00 1.04e-03 4.42e-01 -2.2 1.46e-02 - 1.00e+00 1.00e+00f 1\n", - " 195r 0.0000000e+00 5.43e-05 2.33e-02 -2.2 3.18e-04 - 1.00e+00 1.00e+00h 1\n", - " 196r 0.0000000e+00 3.22e-03 2.84e+02 -3.3 1.10e-01 - 1.00e+00 3.01e-01f 1\n", - " 197r 0.0000000e+00 2.96e-03 2.55e+02 -3.3 4.00e-02 - 1.00e+00 5.57e-01f 1\n", - " 198r 0.0000000e+00 1.84e-04 1.05e+01 -3.3 5.19e-03 - 1.00e+00 9.73e-01f 1\n", - " 199r 0.0000000e+00 8.68e-07 3.40e-02 -3.3 4.66e-04 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200r 0.0000000e+00 8.68e-07 5.17e-05 -3.3 2.51e-06 - 1.00e+00 1.00e+00h 1\n", - " 201r 0.0000000e+00 1.14e-06 4.28e+01 -7.4 7.78e-04 - 1.00e+00 7.79e-01f 1\n", - " 202r 0.0000000e+00 4.12e-07 9.53e+01 -7.4 6.67e-05 - 8.95e-01 6.43e-01f 1\n", - " 203r 0.0000000e+00 1.47e-07 9.15e+01 -7.4 6.76e-05 - 8.88e-01 6.59e-01f 1\n", - " 204r 0.0000000e+00 5.15e-08 9.23e+01 -7.4 2.48e-05 - 8.86e-01 6.55e-01f 1\n", - " 205r 0.0000000e+00 1.75e-08 9.12e+01 -7.4 8.64e-06 - 8.91e-01 6.61e-01f 1\n", - " 206r 0.0000000e+00 5.68e-09 8.79e+01 -7.4 2.93e-06 - 9.01e-01 6.77e-01f 1\n", - "\n", - "Number of Iterations....: 206\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 3.8066305293841266e-09 5.6844786655574353e-09\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 3.8066305293841266e-09 5.6844786655574353e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 218\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 218\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 208\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 206\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 19.180\n", - "Total CPU secs in NLP function evaluations = 10.095\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Output this time: [0.000199428298248, 8.160461853054377e-05, 8.069903111023094e-05, 8.059850659241142e-05, 8.056843519405762e-05, 8.063429816532612e-05, 8.083522535629358e-05, 8.124101510029053e-05, 8.196271534685579e-05, 8.315600083990191e-05, 8.509800145066994e-05, 8.813837289848663e-05, 9.291939312446912e-05, 0.00010024365172952447, 0.00011148839263700703, 0.00012853268143879514, 0.00015405373859420066, 0.0001924131715811993, 0.00024825472741597527, 0.0003311632701812995, 0.00044857338001695943, 0.0006194817070022358, 0.0008566507661983806, 0.0011921739685135423, 0.0016541139161693394, 0.0022841755765148418, 0.0031550823703121473, 0.004296069921439245, 0.005885577711554407, 0.00789511745807585, 0.010687468891531753, 0.014139529987408835, 0.018851408522226155, 0.023914243767404364, 0.028736776514726878, 0.033152236138036355, 0.03713452778347944, 0.040698417737219036, 0.04387216621844637, 0.046688472383860015, 0.0491807762032124, 0.05138152711850385, 0.053321330498030214, 0.055028544219663925, 0.05652912666295674, 0.0578466312446476, 0.05900228704986237, 0.060015128677597195, 0.06090215203873197, 0.06167848120972191, 0.062357536800397774, 0.06295119981659758, 0.06346996735250587, 0.06392309803254398, 0.06431874618935415, 0.06466408447644108, 0.0649654150809658, 0.06522826999895188, 0.06545750101374857, 0.0656573601154545, 0.065831571139879, 0.06598339340875269, 0.06611567813123878, 0.0662309182895076, 0.0663312926846775, 0.06641870476830543, 0.06649481683193598, 0.06656108007511813, 0.06661876102296055]\n", - "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.270698985694391}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15270698985694392}, 'scena-name': [0]}\n", - "The inlet feed density is 41.0275814575221 [mol/m3]\n", - "the number of timepoints is 68\n", - "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", - "Model # of time grid is 69 , initial point # of time grid is 69\n", - "Parameters: 212 , 15.270698985694391\n", - "temp_feed is fixed at 313.15\n", - "temp_bath is fixed at 313.15\n", - "yfeed is fixed at 0.15\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 9.18e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (2563583)\n", - " 1 0.0000000e+00 9.15e+01 2.56e+02 -1.0 9.18e+01 - 7.48e-01 2.98e-03h 1\n", - " 2 0.0000000e+00 9.15e+01 2.46e+06 -1.0 9.15e+01 - 2.89e-01 2.98e-05h 1\n" + "Existed information has been added.\n", + "FIM: [[0.00409913 0.02220757]\n", + " [0.02220757 1.35977125]]\n", + "Trace: 1.3638703736878268\n", + "Determinant: 0.0050806984109559175\n", + "Condition number: 364.1166816598299\n", + "Minimal eigen value: 0.0037354370320403785\n", + "Eigen values: [0.00373544 1.36013494]\n", + "Eigen vectors: [[-0.99986593 -0.01637463]\n", + " [ 0.01637463 -0.99986593]]\n" ] } ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " measurement, t_measure, model_integrate,\n", - " prior_FIM=prior_pass, discretize_model=None, args=args_, measurement_extra_index = [19])\n", + " prior_FIM=prior_pass, discretize_model=None, args=args_,\n", + " measurement_extra_index = measurement_extra)\n", "\n", "if_s = True \n", "\n", "result = doe_object.compute_FIM(exp1, mode=sensi_opt, FIM_store_name = 'fixed_bed.csv',\n", - " scale_nominal_param_value = if_s, formula='central')\n", + " scale_nominal_param_value = if_s, \n", + " store_output = 'store_output', read_output='store_output',\n", + " formula='central')\n", "\n", "if sensi_opt == 'simultaneous_finite':\n", " result.extract_FIM(doe_object.m, doe_object.design_timeset,\n", @@ -1293,10 +272,38 @@ " result.calculate_FIM(doe_object.jac, doe_object.design_values)" ] }, + { + "cell_type": "code", + "execution_count": 10, + "id": "4089887a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "Four design criteria log10() value:\n", + "A-optimality: 0.13477309563771003\n", + "D-optimality: -2.2940765839413073\n", + "E-optimality: -2.4276585800600574\n", + "Modified E-optimality: 2.5612405761788075\n" + ] + } + ], + "source": [ + "print('======Result summary======')\n", + "print('Four design criteria log10() value:')\n", + "print('A-optimality:', np.log10(result.trace))\n", + "print('D-optimality:', np.log10(result.det))\n", + "print('E-optimality:', np.log10(result.min_eig))\n", + "print('Modified E-optimality:', np.log10(result.cond))" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "0828e2d5", + "id": "b55ddaff", "metadata": {}, "outputs": [], "source": [ @@ -1306,22 +313,22 @@ { "cell_type": "code", "execution_count": null, - "id": "0692e98b", + "id": "eccfa9b4", "metadata": {}, "outputs": [], "source": [ - "print('======Result summary======')\n", - "print('Four design criteria log10() value:')\n", - "print('A-optimality:', np.log10(result.trace))\n", - "print('D-optimality:', np.log10(result.det))\n", - "print('E-optimality:', np.log10(result.min_eig))\n", - "print('Modified E-optimality:', np.log10(result.cond))" + "import pickle\n", + "\n", + "with open('store_output', 'rb') as f:\n", + " data = pickle.load(f)\n", + " f.close()\n", + "print(data)" ] }, { "cell_type": "code", "execution_count": null, - "id": "1339e2e7", + "id": "2c99eff4", "metadata": {}, "outputs": [], "source": [ @@ -1331,7 +338,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b9c26c75", + "id": "7df8f7ce", "metadata": {}, "outputs": [], "source": [ @@ -1341,7 +348,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d51423d0", + "id": "b3f9dea1", "metadata": {}, "outputs": [], "source": [ @@ -1449,7 +456,7 @@ { "cell_type": "code", "execution_count": null, - "id": "0c53eaac", + "id": "97b1192b", "metadata": {}, "outputs": [], "source": [] From 4d6e279f020a9b4dee954cf694dc89ae4fedde46 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sun, 19 Sep 2021 10:20:44 -0400 Subject: [PATCH 34/42] add a catch block for heatmap run --- pyomo/contrib/doe/fim_doe.py | 130 +++++++++++++++----- pyomo/contrib/doe/fixed_bed_doe.ipynb | 171 +++++++++++++++----------- 2 files changed, 196 insertions(+), 105 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index 81b999196df..e624a183695 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -326,6 +326,12 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No else: # dict for storing model outputs output_record = {} + # Temp: dict for fixed bed + output_record_fco2 = {} + output_record_tmid = {} + output_record_tend = {} + output_record_botht = {} + # dict for storing Jacobian models = [] time_allbuild = [] @@ -362,7 +368,38 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No models.append(mod) # loop over measurement item and time to store model measurements - output_combine = [] + output_combine_fco2 = [] + output_combine_tmid = [] + output_combine_tend = [] + output_combine_botht = [] + # + for j in ['FCO2']: + for t in self.measurement_timeset: + C_value = eval('mod.' + j + '[0,19,' + str(t) + ']') + output_combine_fco2.append(value(C_value)) + output_combine_tmid.append(value(C_value)) + output_combine_tend.append(value(C_value)) + output_combine_botht.append(value(C_value)) + output_record_fco2[no_s] = output_combine_fco2 + + for j in ['temp']: + for t in self.measurement_timeset: + C_value = eval('mod.'+ j + '[0,10,' + str(t) + ']') + output_combine_tmid.append(value(C_value)) + output_combine_botht.append(value(C_value)) + + output_record_tmid[no_s] = output_combine_tmid + + for j in ['temp']: + for t in self.measurement_timeset: + C_value = eval('mod.'+ j + '[0,19,' + str(t) + ']') + output_combine_tend.append(value(C_value)) + output_combine_botht.append(value(C_value)) + + output_record_tend[no_s] = output_combine_tend + output_record_botht[no_s] = output_combine_botht + + ''' for j in self.measurement_variables: if self.measurement_extra_index[j] is None: for t in self.measurement_timeset: @@ -374,13 +411,27 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No C_value = eval('mod.' + j + '[0,' + str(ind) +',' + str(t) + ']') output_combine.append(value(C_value)) output_record[no_s] = output_combine - + print('Output this time: ', output_record[no_s]) - + ''' if store_output is not None: - f = open(store_output, 'wb') - pickle.dump(output_record, f) + #f = open(store_output, 'wb') + #pickle.dump(output_record, f) + #f.close() + f = open(store_output+'_fco2', 'wb') + pickle.dump(output_record_fco2, f) f.close() + g = open(store_output+'_tmid', 'wb') + pickle.dump(output_record_tmid, g) + g.close() + h = open(store_output+'_tend', 'wb') + pickle.dump(output_record_tend, h) + h.close() + e = open(store_output+'_botht', 'wb') + pickle.dump(output_record_botht, e) + e.close() + + output_record = output_record_botht.copy() # calculate jacobian jac = self.__finite_calculation(output_record, scena_gen) @@ -390,9 +441,6 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No print('Build time with sequential_finite mode [s]:', sum(time_allbuild)) print('Solve time with sequential_finite mode [s]:', sum(time_allsolve)) - FIM_analysis.build_time = sum(time_allbuild) - FIM_analysis.solve_time = sum(time_allsolve) - # return all models formed self.models = models @@ -407,6 +455,11 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # Store the Jacobian information for access by users self.jac = jac + + if read_output is None: + FIM_analysis.build_time = sum(time_allbuild) + FIM_analysis.solve_time = sum(time_allsolve) + return FIM_analysis @@ -770,7 +823,7 @@ def generate_sequential_experiments(self, design_values_set, mode='sequential_fi return result_object_list, fim_list def run_grid_search(self, design_values, design_ranges, design_dimension_names, design_control_time, mode='sequential_finite', - tee_option=False, scale_nominal_param_value=False, scale_constant_value=1, + tee_option=False, scale_nominal_param_value=False, scale_constant_value=1, store_name= None, read_name=None, filename=None, formula='central', step=0.001): ''' Enumerate through full grid search for any number of design variables; @@ -851,32 +904,49 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, print('=======This is the ', count+1, 'th iteration=======') print('Design variable values of this iteration:', design_iter) + # generate store name + if store_name is None: + store_output_name = None + else: + store_output_name = store_name + str(count) + + if read_name is not None: + read_input_name = read_name+str(count)+'_fco2' + else: + read_input_name = None + # call compute_FIM to get FIM - result_iter = self.compute_FIM(design_iter, mode=mode, - tee_opt=tee_option, - scale_nominal_param_value=scale_nominal_param_value, - scale_constant_value = scale_constant_value, - formula=formula, step=step) - build_time_store.append(result_iter.build_time) - solve_time_store.append(result_iter.solve_time) + try: + result_iter = self.compute_FIM(design_iter, mode=mode, + tee_opt=tee_option, + scale_nominal_param_value=scale_nominal_param_value, + scale_constant_value = scale_constant_value, + store_output=store_output_name, read_output=read_input_name, + formula=formula, step=step) + build_time_store.append(result_iter.build_time) + solve_time_store.append(result_iter.solve_time) - if (mode=='simultaneous_finite'): - result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.objective_option) + if (mode=='simultaneous_finite'): + result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.objective_option) - elif (mode in ['sequential_finite', 'sequential_sipopt', 'sequential_kaug', 'direct_kaug']): - result_iter.calculate_FIM(self.jac, self.design_values) + elif (mode in ['sequential_finite', 'sequential_sipopt', 'sequential_kaug', 'direct_kaug']): + result_iter.calculate_FIM(self.jac, self.design_values) - t_now = time.time() + t_now = time.time() - if self.verbose: - # give run information at each iteration - print('This is the ', count+1, ' run out of ', total_count, 'run.') - print('The code has run %.04f seconds.'% (t_now-t_enumeration_begin)) - print('Estimated remaining time: %.4f seconds' % ((t_now-t_enumeration_begin)/(count+1)*(total_count-count-1))) - count += 1 - - # the combined result object are organized as a dictionary, keys are a tuple of the design variable values, values are a result object - result_combine[tuple(design_set_iter)] = result_iter + if self.verbose: + # give run information at each iteration + print('This is the ', count+1, ' run out of ', total_count, 'run.') + print('The code has run %.04f seconds.'% (t_now-t_enumeration_begin)) + print('Estimated remaining time: %.4f seconds' % ((t_now-t_enumeration_begin)/(count+1)*(total_count-count-1))) + count += 1 + + # the combined result object are organized as a dictionary, keys are a tuple of the design variable values, values are a result object + result_combine[tuple(design_set_iter)] = result_iter + + except: + print(':::::::::::ERROR: Cannot converge this run.::::::::::::') + result_combine[tuple(design_set_iter)] = None # For user's access self.all_fim = result_combine diff --git a/pyomo/contrib/doe/fixed_bed_doe.ipynb b/pyomo/contrib/doe/fixed_bed_doe.ipynb index cdf93cc7683..02f1df792a0 100644 --- a/pyomo/contrib/doe/fixed_bed_doe.ipynb +++ b/pyomo/contrib/doe/fixed_bed_doe.ipynb @@ -3,7 +3,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "1235d6f1", + "id": "bfbdf09c", "metadata": {}, "outputs": [ { @@ -33,7 +33,7 @@ }, { "cell_type": "markdown", - "id": "98cbe3b8", + "id": "6bfc59d7", "metadata": {}, "source": [ "## Define fixed bed model " @@ -42,7 +42,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "56226e62", + "id": "d638135e", "metadata": {}, "outputs": [ { @@ -64,7 +64,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "500a53a5", + "id": "98e6d825", "metadata": {}, "outputs": [], "source": [ @@ -113,8 +113,8 @@ }, { "cell_type": "code", - "execution_count": 4, - "id": "1634d25f", + "execution_count": 5, + "id": "d38a93ea", "metadata": {}, "outputs": [], "source": [ @@ -126,7 +126,7 @@ "scena_all = {'scena-name': [0], 'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", "\n", "initialize_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", - "#init_point = '20210916_feed313_bath293.csv'\n", + "#initialize_point = '20210916_feed313_bath293.csv'\n", "#init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/fixed_bed_initial/T353y20_5e3.csv'\n", "#init_point = '20210916_feed293_bath313_5e4.csv'\n", "#init_point = 'init_test.csv'\n", @@ -135,8 +135,8 @@ }, { "cell_type": "code", - "execution_count": 5, - "id": "081af22e", + "execution_count": 6, + "id": "60e9c919", "metadata": {}, "outputs": [], "source": [ @@ -150,8 +150,8 @@ }, { "cell_type": "code", - "execution_count": 6, - "id": "89b482a3", + "execution_count": 7, + "id": "d691aeb2", "metadata": {}, "outputs": [], "source": [ @@ -178,23 +178,10 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "c82ac8a0", + "execution_count": null, + "id": "0b468063", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The prior information FIM: [[0. 0.]\n", - " [0. 0.]]\n", - "Prior Det: 0.0\n", - "Eigenvalue of the prior experiments FIM: [0. 0.]\n", - "Eigenvalue of the prior experiments FIM: [[1. 0.]\n", - " [0. 1.]]\n" - ] - } - ], + "outputs": [], "source": [ "# empty prior\n", "prior_all = np.zeros((2,2))\n", @@ -212,8 +199,8 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "862c172a", + "execution_count": null, + "id": "b48d647c", "metadata": {}, "outputs": [], "source": [ @@ -225,33 +212,15 @@ "#sensi_opt = 'direct_kaug'\n", "\n", "# feed, bath, y\n", - "exp1 = generate_exp(313.15, 313.15, 0.15)" + "exp1 = generate_exp(313.15, 293.15, 0.15)" ] }, { "cell_type": "code", - "execution_count": 9, - "id": "85b32fd2", + "execution_count": null, + "id": "c81403b1", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Existed information has been added.\n", - "FIM: [[0.00409913 0.02220757]\n", - " [0.02220757 1.35977125]]\n", - "Trace: 1.3638703736878268\n", - "Determinant: 0.0050806984109559175\n", - "Condition number: 364.1166816598299\n", - "Minimal eigen value: 0.0037354370320403785\n", - "Eigen values: [0.00373544 1.36013494]\n", - "Eigen vectors: [[-0.99986593 -0.01637463]\n", - " [ 0.01637463 -0.99986593]]\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " measurement, t_measure, model_integrate,\n", @@ -262,7 +231,7 @@ "\n", "result = doe_object.compute_FIM(exp1, mode=sensi_opt, FIM_store_name = 'fixed_bed.csv',\n", " scale_nominal_param_value = if_s, \n", - " store_output = 'store_output', read_output='store_output',\n", + " store_output = 'store_output', read_output='store_output_botht',\n", " formula='central')\n", "\n", "if sensi_opt == 'simultaneous_finite':\n", @@ -274,23 +243,10 @@ }, { "cell_type": "code", - "execution_count": 10, - "id": "4089887a", + "execution_count": null, + "id": "2c51bb04", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "======Result summary======\n", - "Four design criteria log10() value:\n", - "A-optimality: 0.13477309563771003\n", - "D-optimality: -2.2940765839413073\n", - "E-optimality: -2.4276585800600574\n", - "Modified E-optimality: 2.5612405761788075\n" - ] - } - ], + "outputs": [], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", @@ -303,7 +259,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b55ddaff", + "id": "50e683bb", "metadata": {}, "outputs": [], "source": [ @@ -313,13 +269,13 @@ { "cell_type": "code", "execution_count": null, - "id": "eccfa9b4", + "id": "bb1b1336", "metadata": {}, "outputs": [], "source": [ "import pickle\n", "\n", - "with open('store_output', 'rb') as f:\n", + "with open('store_output_botht', 'rb') as f:\n", " data = pickle.load(f)\n", " f.close()\n", "print(data)" @@ -328,7 +284,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2c99eff4", + "id": "b80d2d3b", "metadata": {}, "outputs": [], "source": [ @@ -338,7 +294,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7df8f7ce", + "id": "389ce008", "metadata": {}, "outputs": [], "source": [ @@ -348,7 +304,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b3f9dea1", + "id": "7d0d0e9d", "metadata": {}, "outputs": [], "source": [ @@ -453,10 +409,75 @@ " plt.show()" ] }, + { + "cell_type": "markdown", + "id": "39cc949f", + "metadata": {}, + "source": [ + "## Heatmap" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2d242d60", + "metadata": {}, + "outputs": [], + "source": [ + "design_ranges = [list(np.linspace(293,333,5)), list(np.linspace(0.1,0.3,6))]\n", + "\n", + "dv_apply_name = ['temp_feed','yfeed']\n", + "\n", + "dv_apply_time = [[0],[0]]\n", + "\n", + "# Define experiments\n", + "exp1 = generate_exp(313.15, 293.15, 0.15)\n", + " \n", + "# choose from 'simultaneous', 'sequential', 'sipopt'\n", + "#sensi_opt = 'simultaneous_finite'\n", + "sensi_opt = 'sequential_finite'\n", + "#sensi_opt = 'sequential_sipopt'\n", + "#sensi_opt = 'sequential_kaug'\n", + "#sensi_opt = 'direct_kaug'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "30196e80", + "metadata": {}, + "outputs": [], + "source": [ + "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", + " measurement, t_measure, model_integrate,\n", + " prior_FIM=prior_pass, discretize_model=None, args=args_,\n", + " measurement_extra_index = measurement_extra)\n", + "\n", + "all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", + " mode=sensi_opt, tee_option=False,\n", + " scale_nominal_param_value=True, \n", + " store_name='.bath293_heatmap_5e6/20210919_heatmap'\n", + " )\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "03809322", + "metadata": {}, + "outputs": [], + "source": [ + "test = all_fim.extract_criteria()\n", + "\n", + "fixed = {}\n", + "all_fim.figure_drawing(fixed, ['temp_feed','yfeed'], 'Fixed bed','$y$', 'T bath [K]' )" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "97b1192b", + "id": "0d5cf7a1", "metadata": {}, "outputs": [], "source": [] From f77da28a09c64f40a4f93612a88c6627c1233f7c Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Wed, 22 Sep 2021 17:41:57 -0400 Subject: [PATCH 35/42] end of the day commit --- pyomo/contrib/doe/fim_doe.py | 55 +- pyomo/contrib/doe/fixed_bed_doe.ipynb | 1244 ++++- .../doe/fixed_bed_model_indexed_dynamic.py | 3 +- pyomo/contrib/doe/optimize.ipynb | 521 -- pyomo/contrib/doe/otpimize_example.ipynb | 427 -- pyomo/contrib/doe/reactor_control_doe.ipynb | 4936 +---------------- .../doe/reactor_kinetics_kaug_case.ipynb | 74 +- pyomo/contrib/doe/reactor_sens_rp_update.py | 273 + 8 files changed, 1570 insertions(+), 5963 deletions(-) delete mode 100644 pyomo/contrib/doe/optimize.ipynb delete mode 100644 pyomo/contrib/doe/otpimize_example.ipynb create mode 100644 pyomo/contrib/doe/reactor_sens_rp_update.py diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index e624a183695..9951ab9f3db 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -878,6 +878,7 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, # iteration 0 count = 0 + failed_count = 0 # how many sets of design variables will be run total_count = 1 for i in range(grid_dimension): @@ -911,7 +912,7 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, store_output_name = store_name + str(count) if read_name is not None: - read_input_name = read_name+str(count)+'_fco2' + read_input_name = read_name+str(count)+'_tend' else: read_input_name = None @@ -923,8 +924,11 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, scale_constant_value = scale_constant_value, store_output=store_output_name, read_output=read_input_name, formula=formula, step=step) - build_time_store.append(result_iter.build_time) - solve_time_store.append(result_iter.solve_time) + if read_input_name is None: + build_time_store.append(result_iter.build_time) + solve_time_store.append(result_iter.solve_time) + + count += 1 if (mode=='simultaneous_finite'): result_iter.extract_FIM(self.m, self.design_timeset, self.square_result, self.objective_option) @@ -939,18 +943,23 @@ def run_grid_search(self, design_values, design_ranges, design_dimension_names, print('This is the ', count+1, ' run out of ', total_count, 'run.') print('The code has run %.04f seconds.'% (t_now-t_enumeration_begin)) print('Estimated remaining time: %.4f seconds' % ((t_now-t_enumeration_begin)/(count+1)*(total_count-count-1))) - count += 1 + # the combined result object are organized as a dictionary, keys are a tuple of the design variable values, values are a result object result_combine[tuple(design_set_iter)] = result_iter except: print(':::::::::::ERROR: Cannot converge this run.::::::::::::') + count += 1 + failed_count += 1 + print('failed count:', failed_count) result_combine[tuple(design_set_iter)] = None # For user's access self.all_fim = result_combine + # + # Create figure drawing object figure_draw_object = Grid_Search_Result(design_ranges, design_dimension_names, design_control_time, result_combine, store_optimality_name=filename) @@ -1028,9 +1037,10 @@ def __create_doe_model(self): # check if control time points are in the time set for d in range(len(self.design_name)): - for t in self.design_time[d]: - if not (t in m.t): - raise ValueError('Warning: Control timepoints should be in the time list.') + if self.design_time[d] is not None: + for t in self.design_time[d]: + if not (t in m.t): + raise ValueError('Warning: Control timepoints should be in the time list.') ### Define variables # Elements in Jacobian matrix @@ -1093,10 +1103,13 @@ def jac_numerical(m,j,p,t): ''' # A better way to do this: # https://github.com/IDAES/idaes-pse/blob/274e58bef55f2f969f0df97cbb1fb7d99342388e/idaes/apps/uncertainty_propagation/sens.py#L296 - - up_C = eval('m.'+j+'['+str(scenario_all['jac-index'][p][0])+','+str(t)+']') - lo_C = eval('m.'+j+'['+str(scenario_all['jac-index'][p][1])+','+str(t)+']') - + if self.measurement_extra_index[j] is None: + up_C = eval('m.'+j+'['+str(scenario_all['jac-index'][p][0])+','+str(t)+']') + lo_C = eval('m.'+j+'['+str(scenario_all['jac-index'][p][1])+','+str(t)+']') + else: + ind = self.measurement_extra_index[j][0] + up_C = eval('m.' + j + '[' + str(scenario_all['jac-index'][p][0]) + ',' + str(ind) + ',' + str(t) + ']') + lo_C = eval('m.' + j + '[' + str(scenario_all['jac-index'][p][1]) + ',' + str(ind) + ',' + str(t) + ']') return m.jac[j,p,t] == (up_C - lo_C)/scenario_all['eps-abs'][p] *self.scale_constant_value #A constraint to calculate elements in Hessian matrix @@ -1810,9 +1823,14 @@ def __solution_info(self, m, dv_set): solution = {} for d, dname in enumerate(dv_names): sol = [] - for t, time in enumerate(dv_times[d]): - newvar = eval('m.' + dname + '[' + str(time) + ']') + if dv_times[d] is not None: + for t, time in enumerate(dv_times[d]): + newvar = eval('m.' + dname + '[' + str(time) + ']') + sol.append(value(newvar)) + else: + newvar = eval('m.' + dname) sol.append(value(newvar)) + solution[dname] = sol if self.verbose: print('Solution of ', dname, ' :', solution[dname]) @@ -2124,8 +2142,15 @@ def __heatmap(self, title_text, xlabel_text, ylabel_text, font_axes=16, font_tic ''' # achieve the design variable ranges this figure needs - x_range = list(set(self.figure_result_data[self.sensitivity_dimension[0]].values.tolist())) - y_range = list(set(self.figure_result_data[self.sensitivity_dimension[1]].values.tolist())) + # create a dictionary for sensitivity dimensions + sensitivity_dict = {} + for i, nam in enumerate(self.design_names): + if nam in self.sensitivity_dimension: + sensitivity_dict[nam] = self.design_ranges[i] + + x_range = sensitivity_dict[self.sensitivity_dimension[0]] + y_range = sensitivity_dict[self.sensitivity_dimension[1]] + # extract the design criteria values A_range = self.figure_result_data['A'].values.tolist() diff --git a/pyomo/contrib/doe/fixed_bed_doe.ipynb b/pyomo/contrib/doe/fixed_bed_doe.ipynb index 02f1df792a0..8b0bd32b429 100644 --- a/pyomo/contrib/doe/fixed_bed_doe.ipynb +++ b/pyomo/contrib/doe/fixed_bed_doe.ipynb @@ -3,7 +3,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "bfbdf09c", + "id": "940d1fa5", "metadata": {}, "outputs": [ { @@ -33,7 +33,7 @@ }, { "cell_type": "markdown", - "id": "6bfc59d7", + "id": "459aa691", "metadata": {}, "source": [ "## Define fixed bed model " @@ -42,7 +42,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "d638135e", + "id": "3186b934", "metadata": {}, "outputs": [ { @@ -64,7 +64,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "98e6d825", + "id": "9194ace2", "metadata": {}, "outputs": [], "source": [ @@ -113,8 +113,8 @@ }, { "cell_type": "code", - "execution_count": 5, - "id": "d38a93ea", + "execution_count": 9, + "id": "f0dc7a42", "metadata": {}, "outputs": [], "source": [ @@ -125,18 +125,18 @@ "\n", "scena_all = {'scena-name': [0], 'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", "\n", - "initialize_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", - "#initialize_point = '20210916_feed313_bath293.csv'\n", + "#initialize_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", + "initialize_point = './priors/20210916_feed313_bath293.csv'\n", "#init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/fixed_bed_initial/T353y20_5e3.csv'\n", - "#init_point = '20210916_feed293_bath313_5e4.csv'\n", + "#initialize_point = './priors/20210916_feed313_bath293_5e3.csv'\n", "#init_point = 'init_test.csv'\n", "#init_point = 'T353y20_5e3.csv'" ] }, { "cell_type": "code", - "execution_count": 6, - "id": "60e9c919", + "execution_count": 10, + "id": "a7f8e4a2", "metadata": {}, "outputs": [], "source": [ @@ -150,8 +150,8 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "d691aeb2", + "execution_count": 14, + "id": "d03b6e85", "metadata": {}, "outputs": [], "source": [ @@ -168,20 +168,34 @@ "parameter_dict = {'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", "\n", "#dv_pass = {'temp_feed': [0], 'temp_bath':[0], 'yfeed': [0]}\n", - "dv_pass = {'temp_feed': None, 'temp_bath':None , 'yfeed': None}\n", + "#dv_pass = {'temp_feed': None, 'temp_bath':None , 'yfeed': None}\n", + "dv_pass = {'temp_feed': None, 'yfeed': None}\n", "\n", "measurement = ['FCO2', 'temp']\n", - "measurement_extra = {'FCO2': [19], 'temp': [10,19]}\n", + "measurement_extra = {'FCO2': [19], 'temp': [19]}\n", "\n", "t_measure = exp_time_\n" ] }, { "cell_type": "code", - "execution_count": null, - "id": "0b468063", + "execution_count": 15, + "id": "0d155ff6", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The prior information FIM: [[0. 0.]\n", + " [0. 0.]]\n", + "Prior Det: 0.0\n", + "Eigenvalue of the prior experiments FIM: [0. 0.]\n", + "Eigenvalue of the prior experiments FIM: [[1. 0.]\n", + " [0. 1.]]\n" + ] + } + ], "source": [ "# empty prior\n", "prior_all = np.zeros((2,2))\n", @@ -197,10 +211,18 @@ "print('Eigenvalue of the prior experiments FIM:', np.linalg.eigh(prior_pass)[1])" ] }, + { + "cell_type": "markdown", + "id": "b1879150", + "metadata": {}, + "source": [ + "## Compute FIM" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "b48d647c", + "id": "643d82eb", "metadata": {}, "outputs": [], "source": [ @@ -218,8 +240,10 @@ { "cell_type": "code", "execution_count": null, - "id": "c81403b1", - "metadata": {}, + "id": "c0c8cf4a", + "metadata": { + "scrolled": true + }, "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", @@ -231,7 +255,7 @@ "\n", "result = doe_object.compute_FIM(exp1, mode=sensi_opt, FIM_store_name = 'fixed_bed.csv',\n", " scale_nominal_param_value = if_s, \n", - " store_output = 'store_output', read_output='store_output_botht',\n", + " store_output = 'store_output', read_output='store_output_fco2',\n", " formula='central')\n", "\n", "if sensi_opt == 'simultaneous_finite':\n", @@ -244,7 +268,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2c51bb04", + "id": "36e3a3ef", "metadata": {}, "outputs": [], "source": [ @@ -259,7 +283,7 @@ { "cell_type": "code", "execution_count": null, - "id": "50e683bb", + "id": "5883a050", "metadata": {}, "outputs": [], "source": [ @@ -269,7 +293,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bb1b1336", + "id": "93f1497d", "metadata": {}, "outputs": [], "source": [ @@ -284,7 +308,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b80d2d3b", + "id": "2e03ea03", "metadata": {}, "outputs": [], "source": [ @@ -294,7 +318,7 @@ { "cell_type": "code", "execution_count": null, - "id": "389ce008", + "id": "15421cd6", "metadata": {}, "outputs": [], "source": [ @@ -304,7 +328,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7d0d0e9d", + "id": "406cc948", "metadata": {}, "outputs": [], "source": [ @@ -411,7 +435,1114 @@ }, { "cell_type": "markdown", - "id": "39cc949f", + "id": "dc04f28f", + "metadata": {}, + "source": [ + "## Gradient-based optimization " + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "2313c6b4", + "metadata": {}, + "outputs": [], + "source": [ + "# feed, bath, y\n", + "exp1 = generate_exp(313.15, 293.15, 0.15)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e8c69da1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is ./priors/20210916_feed313_bath293.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "temp_feed is fixed at 313.15\n", + "yfeed is fixed at 0.15\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 376912\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 204430\n", + "\n", + "Total number of variables............................: 93723\n", + " variables with only lower bounds: 2\n", + " variables with lower and upper bounds: 65840\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 93723\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 1.09e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (11612042)\n", + " 1 2.0014678e-03 1.09e+02 4.99e+02 -1.0 1.00e+01 - 5.00e-01 1.00e-03h 1\n", + " 2r 2.0014678e-03 1.09e+02 9.99e+02 2.0 0.00e+00 - 0.00e+00 3.11e-07R 6\n", + " 3r 1.8052237e-02 6.48e+01 1.58e+03 2.0 1.03e+05 - 9.40e-05 1.05e-03f 1\n", + " 4r 2.3298155e-02 6.76e+01 1.03e+05 1.3 1.64e-01 4.0 1.00e+00 1.00e+00f 1\n", + " 5r 2.2859679e-02 5.55e+01 9.48e+04 1.3 2.84e-02 5.3 6.41e-01 1.00e+00f 1\n", + " 6r 2.2393861e-02 5.46e+01 4.39e+03 1.3 1.43e-02 4.9 1.00e+00 1.00e+00f 1\n", + " 7r 2.2312270e-02 5.45e+01 1.05e+03 1.3 4.41e-02 4.4 1.00e+00 1.00e+00f 1\n", + " 8r 2.2438985e-02 5.44e+01 1.05e+03 1.3 1.67e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 9r 2.3095387e-02 5.42e+01 1.06e+03 1.3 5.01e-02 4.3 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 2.2032293e-02 5.36e+01 1.47e+03 1.3 1.50e-01 3.8 1.00e+00 1.00e+00f 1\n", + " 11r 2.1233941e-02 5.34e+01 1.59e+03 1.3 5.55e-02 4.3 1.00e+00 1.00e+00f 1\n", + " 12r 1.9006260e-02 5.28e+01 2.53e+03 1.3 1.66e-01 3.8 1.00e+00 1.00e+00f 1\n", + " 13r 1.8098133e-02 5.25e+01 2.84e+03 1.3 6.18e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 14r 1.5368686e-02 5.18e+01 2.26e+03 1.3 1.84e-01 3.7 1.00e+00 1.00e+00f 1\n", + " 15r 1.1828285e-02 5.10e+01 2.26e+03 1.3 5.46e-01 3.3 1.00e+00 4.06e-01f 1\n", + " 16r 9.1098583e-03 5.03e+01 2.35e+03 1.3 2.03e-01 3.7 1.00e+00 8.26e-01f 1\n", + " 17r 4.9561135e-03 4.94e+01 2.40e+03 1.3 6.11e-01 3.2 1.00e+00 4.13e-01f 1\n", + " 18r 2.0582529e-03 4.88e+01 2.37e+03 1.3 2.29e-01 3.6 1.00e+00 7.65e-01f 1\n", + " 19r 6.3465165e-04 4.84e+01 1.47e+03 1.3 8.59e-02 4.1 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r-2.3678021e-03 4.78e+01 1.00e+03 1.3 2.58e-01 3.6 1.00e+00 7.08e-01f 1\n", + " 21r-3.9652305e-03 4.74e+01 1.00e+03 1.3 9.67e-02 4.0 1.00e+00 1.00e+00f 1\n", + " 22r-7.1984792e-03 4.67e+01 1.00e+03 1.3 2.90e-01 3.5 1.00e+00 6.78e-01f 1\n", + " 23r-1.1958002e-02 4.56e+01 1.61e+03 1.3 8.70e-01 3.1 1.00e+00 3.35e-01f 1\n", + " 24r-1.7360363e-02 4.44e+01 3.34e+03 1.3 3.26e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 25r-1.9311951e-02 4.40e+01 3.24e+03 1.3 1.22e-01 3.9 1.00e+00 9.60e-01f 1\n", + " 26r-2.2426586e-02 1.86e+02 6.86e+03 1.3 5.40e-01 3.4 4.16e-01 5.33e-01f 1\n", + " 27r-2.3621033e-02 1.05e+02 5.06e+03 1.3 1.38e-01 3.9 1.00e+00 5.45e-01f 1\n", + " 28r-2.7289544e-02 5.80e+01 3.16e+03 1.3 4.13e-01 3.4 1.00e+00 5.57e-01f 1\n", + " 29r-2.9618562e-02 4.16e+01 2.11e+03 1.3 1.55e-01 3.8 1.00e+00 9.32e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r-3.3222858e-02 4.09e+01 1.59e+03 1.3 4.64e-01 3.3 1.00e+00 4.72e-01f 1\n", + " 31r-3.9568492e-02 3.97e+01 1.96e+03 1.3 1.39e+00 2.9 1.00e+00 2.82e-01f 1\n", + " 32r-4.4296813e-02 3.88e+01 1.95e+03 1.3 5.22e-01 3.3 1.00e+00 5.50e-01f 1\n", + " 33r-5.1429139e-02 3.77e+01 3.04e+03 1.3 1.57e+00 2.8 1.00e+00 2.82e-01f 1\n", + " 34r-5.6210080e-02 3.70e+01 2.14e+03 1.3 5.88e-01 3.2 1.00e+00 4.97e-01f 1\n", + " 35r-6.4043914e-02 9.81e+01 1.39e+04 1.3 3.12e+00 2.8 2.63e-01 2.76e-01f 1\n", + " 36r-6.4237605e-02 8.50e+01 1.22e+04 1.3 5.02e-01 4.1 2.47e-01 1.40e-01f 1\n", + " 37r-6.6955778e-02 4.17e+01 6.79e+03 1.3 3.61e-01 3.6 1.00e+00 6.66e-01f 1\n", + " 38r-7.1389437e-02 3.49e+01 4.74e+03 1.3 7.44e-01 3.1 9.67e-01 3.67e-01f 1\n", + " 39r-7.9719875e-02 3.38e+01 3.77e+03 1.3 2.23e+00 2.7 1.00e+00 2.35e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r-8.5437679e-02 3.30e+01 3.00e+03 1.3 8.37e-01 3.1 1.00e+00 4.27e-01f 1\n", + " 41r-9.5265160e-02 3.16e+01 3.24e+03 1.3 2.51e+00 2.6 1.00e+00 2.51e-01f 1\n", + " 42r-9.7138444e-02 3.13e+01 8.64e+03 1.3 1.18e-01 3.9 1.00e+00 1.00e+00f 1\n", + " 43r-1.0058785e-01 3.09e+01 3.15e+03 1.3 3.53e-01 3.5 1.00e+00 6.17e-01f 1\n", + " 44r-1.0587348e-01 3.01e+01 2.30e+03 1.3 1.06e+00 3.0 1.00e+00 3.19e-01f 1\n", + " 45r-1.1579585e-01 2.87e+01 2.95e+03 1.3 3.18e+00 2.5 1.00e+00 2.06e-01f 1\n", + " 46r-1.2278038e-01 2.77e+01 2.45e+03 1.3 1.19e+00 2.9 1.00e+00 3.84e-01f 1\n", + " 47r-1.2364364e-01 2.76e+01 6.27e+03 1.3 5.58e-02 4.3 1.00e+00 1.00e+00f 1\n", + " 48r-1.2622755e-01 2.72e+01 1.23e+03 1.3 1.68e-01 3.8 1.00e+00 1.00e+00f 1\n", + " 49r-1.2963403e-01 2.67e+01 1.00e+03 1.3 5.02e-01 3.3 1.00e+00 4.42e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r-1.3055114e-01 2.60e+01 2.05e+03 0.6 1.51e+00 2.8 1.00e+00 2.44e-01f 1\n", + " 51r-1.3290500e-01 2.45e+01 1.75e+03 0.6 4.53e+00 2.3 1.00e+00 1.59e-01f 1\n", + " 52r-1.3714748e-01 2.19e+01 1.59e+03 0.6 1.36e+01 1.9 1.00e+00 9.97e-02f 1\n", + " 53r-1.4024296e-01 2.00e+01 1.31e+03 0.6 5.09e+00 2.3 1.00e+00 1.93e-01f 1\n", + " 54r-1.4568826e-01 1.68e+01 1.42e+03 0.6 1.52e+01 1.8 1.00e+00 1.15e-01f 1\n", + " 55r-1.4919474e-01 1.49e+01 9.98e+02 0.6 5.69e+00 2.2 1.00e+00 1.98e-01f 1\n", + " 56r-1.5507221e-01 1.19e+01 1.08e+03 0.6 1.70e+01 1.8 1.00e+00 1.15e-01f 1\n", + " 57r-1.5816764e-01 9.85e+00 9.96e+02 0.6 6.38e+00 2.2 1.00e+00 1.92e-01f 1\n", + " 58r-1.5932384e-01 6.61e+00 1.14e+03 0.6 1.89e+01 1.7 1.00e+00 1.15e-01f 1\n", + " 59r-1.6139859e-01 4.45e+00 1.05e+03 0.6 7.01e+00 2.1 1.00e+00 1.94e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r-1.6269609e-01 3.00e+00 9.65e+02 0.6 2.60e+00 2.6 1.00e+00 3.02e-01f 1\n", + " 61r-1.6332458e-01 2.07e+00 1.14e+03 0.6 9.78e-01 3.0 1.00e+00 4.08e-01f 1\n", + " 62r-1.6485992e-01 1.04e+00 1.17e+03 0.6 2.73e+00 2.5 1.00e+00 2.35e-01f 1\n", + " 63r-1.6567314e-01 5.29e-01 1.06e+03 0.6 7.98e-01 2.9 1.00e+00 3.03e-01f 1\n", + " 64r-1.6870386e-01 3.43e-01 5.73e+02 0.6 5.94e-02 2.5 1.00e+00 3.60e-01f 1\n", + " 65r-1.7195468e-01 3.71e-02 1.31e+02 0.6 3.13e-02 2.9 1.00e+00 1.00e+00f 1\n", + " 66r-1.7239598e-01 1.17e-01 9.94e+01 -0.1 6.36e-02 2.4 1.00e+00 1.00e+00f 1\n", + " 67r-1.7282847e-01 3.64e-02 1.88e+01 -0.1 2.71e-02 2.8 1.00e+00 1.00e+00f 1\n", + " 68r-1.7187299e-01 4.90e-01 4.22e+01 -0.8 8.53e-02 2.4 1.00e+00 8.48e-01f 1\n", + " 69r-1.7180947e-01 1.65e-01 1.84e+01 -0.8 2.98e-02 2.8 1.00e+00 9.91e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r-1.7176831e-01 4.62e-02 1.76e+02 -0.8 7.40e-02 2.3 1.00e+00 7.68e-01f 1\n", + " 71r-1.7149602e-01 3.42e-02 4.47e+02 -0.8 2.22e-01 1.8 1.00e+00 3.79e-01f 1\n", + " 72r-1.7145974e-01 3.36e-02 1.71e+02 -0.8 8.33e-02 2.3 1.00e+00 7.85e-01f 1\n", + " 73r-1.7140354e-01 3.26e-02 4.77e+02 -0.8 2.50e-01 1.8 1.00e+00 3.83e-01f 1\n", + " 74r-1.7136974e-01 3.19e-02 1.60e+02 -0.8 9.37e-02 2.2 1.00e+00 7.88e-01f 1\n", + " 75r-1.7125039e-01 2.93e-02 3.25e+01 -0.8 2.81e-01 1.7 1.00e+00 9.54e-01f 1\n", + " 76r-1.7072246e-01 2.97e-01 4.30e+02 -0.8 8.43e-01 1.3 9.80e-01 5.99e-01f 1\n", + " 77r-1.7071406e-01 2.26e-01 5.73e+02 -0.8 3.11e-01 1.7 1.00e+00 2.45e-01f 1\n", + " 78r-1.7032890e-01 1.84e-01 8.22e+02 -0.8 8.62e-01 1.2 1.00e+00 2.16e-01f 1\n", + " 79r-1.7013438e-01 8.94e-02 6.50e+02 -0.8 3.00e-01 1.6 1.00e+00 5.34e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r-1.6908187e-01 6.48e-02 9.89e+02 -0.8 8.00e-01 1.2 1.00e+00 3.49e-01f 1\n", + " 81r-1.6846738e-01 5.73e-02 2.62e+02 -0.8 2.69e-01 1.6 7.69e-01 6.81e-01f 1\n", + " 82r-1.6834486e-01 5.55e-02 1.22e+03 -0.8 2.10e+00 1.1 3.22e-01 3.27e-02f 1\n", + " 83r-1.6536917e-01 6.79e-02 1.02e+03 -0.8 2.00e+00 0.6 8.45e-01 2.88e-01f 1\n", + " 84r-1.6441750e-01 5.02e-02 1.03e+03 -0.8 5.60e-01 1.1 1.00e+00 3.18e-01f 1\n", + " 85r-1.5725841e-01 9.05e+00 1.91e+02 -0.8 1.38e+00 0.6 1.00e+00 1.00e+00f 1\n", + " 86r-1.5601315e-01 5.41e+00 1.59e+02 -0.8 5.32e-01 1.0 1.00e+00 1.00e+00f 1\n", + " 87r-1.5622268e-01 4.48e+00 6.35e+02 -0.8 9.55e-01 0.5 1.00e+00 1.82e-01f 1\n", + " 88r-1.5751974e-01 1.46e+00 7.34e+01 -0.8 2.87e-01 0.9 1.00e+00 1.00e+00f 1\n", + " 89r-1.5918198e-01 9.71e-01 3.56e+02 -0.8 3.05e-01 0.5 1.00e+00 3.65e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r-1.7062471e-01 9.97e-01 3.17e+01 -0.8 3.21e-01 -0.0 1.00e+00 1.00e+00f 1\n", + " 91r-1.9272890e-01 3.12e+00 6.05e+01 -0.8 5.47e-01 -0.5 1.00e+00 1.00e+00f 1\n", + " 92r-2.0476051e-01 4.29e+00 2.56e+01 -0.8 4.42e-01 -1.0 1.00e+00 1.00e+00f 1\n", + " 93r-2.1073508e-01 5.53e-01 6.53e+00 -0.8 2.91e-01 -0.5 1.00e+00 1.00e+00h 1\n", + " 94r-1.3291998e-01 1.08e+00 2.67e+02 -1.5 9.87e-01 - 1.00e+00 3.10e-01f 1\n", + " 95r 1.8779805e-03 7.07e-01 2.31e+02 -1.5 7.51e-01 -1.0 1.00e+00 6.38e-01f 1\n", + " 96r 1.8024762e-03 5.09e-01 1.30e+02 -1.5 8.20e-02 2.1 2.80e-01 3.06e-01f 1\n", + " 97r 6.6633665e-02 3.45e-01 3.37e+02 -1.5 4.06e-01 - 1.00e+00 3.41e-01f 1\n", + " 98r 2.8268935e-01 3.13e-01 1.00e+02 -1.5 3.43e-01 - 1.00e+00 1.00e+00f 1\n", + " 99r 3.7166463e-01 6.59e-01 6.97e+01 -1.5 2.09e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 3.2034560e-01 1.06e-01 2.62e+01 -1.5 6.45e-02 - 1.00e+00 1.00e+00f 1\n", + " 101r 2.9021170e-01 2.22e-02 6.51e+00 -1.5 3.22e-02 - 1.00e+00 1.00e+00f 1\n", + " 102r 2.8189100e-01 3.58e-03 7.38e-01 -1.5 7.24e-03 - 1.00e+00 1.00e+00h 1\n", + " 103r 3.5521502e-01 1.18e-01 1.99e+02 -2.2 7.51e-01 - 1.00e+00 2.44e-01f 1\n", + " 104r 1.0081982e+00 2.05e-01 1.32e+02 -2.2 5.93e-01 - 1.00e+00 6.07e-01f 1\n", + " 105r 1.5635576e+00 1.14e-01 1.48e+02 -2.2 3.91e-01 - 1.00e+00 6.20e-01f 1\n", + " 106r 1.9773187e+00 7.06e-02 8.01e+01 -2.2 1.78e-01 - 1.00e+00 5.96e-01f 1\n", + " 107r 2.3192001e+00 4.52e-02 7.16e+01 -2.2 1.46e-01 - 6.79e-01 6.79e-01f 1\n", + " 108r 2.3688630e+00 2.86e-02 1.47e+02 -2.2 1.16e-01 - 4.40e-01 6.85e-01f 1\n", + " 109r 2.4371622e+00 1.96e-02 8.14e+01 -2.2 9.03e-02 - 4.93e-01 4.55e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 2.4384131e+00 1.57e-02 1.66e+02 -2.2 5.38e-02 1.6 1.15e-01 2.00e-01f 1\n", + " 111r 2.4384818e+00 1.55e-02 1.65e+02 -2.2 6.69e-01 1.2 1.34e-02 9.23e-03f 1\n", + " 112r 2.4551738e+00 1.45e-02 3.48e+02 -2.2 8.91e-02 - 2.46e-01 6.95e-02f 1\n", + " 113r 2.4591843e+00 3.13e-03 1.54e+02 -2.2 4.59e-03 2.5 6.03e-01 7.85e-01f 1\n", + " 114r 2.4681566e+00 6.62e-03 1.21e+02 -2.2 1.30e-01 - 3.76e-01 3.51e-01f 1\n", + " 115r 2.5437336e+00 8.04e-03 3.87e+02 -2.2 7.10e-02 - 5.23e-01 7.86e-01f 1\n", + " 116r 2.5440475e+00 4.93e-03 4.44e+02 -2.2 1.40e-02 2.0 1.00e+00 3.86e-01f 1\n", + " 117r 2.4711018e+00 3.94e-03 3.52e+02 -2.2 6.48e-02 - 5.49e-01 2.55e-01f 1\n", + " 118r 2.5379939e+00 2.14e-03 1.24e+02 -2.2 2.75e-02 - 1.00e+00 7.25e-01f 1\n", + " 119r 2.5623791e+00 6.28e-04 1.09e+01 -2.2 1.58e-02 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 2.5765664e+00 5.25e-04 1.26e+00 -2.2 5.04e-03 - 1.00e+00 1.00e+00f 1\n", + " 121r 2.5550050e+00 5.23e-04 1.31e-01 -2.2 3.67e-03 - 1.00e+00 1.00e+00h 1\n", + " 122r 3.0072432e+00 5.77e-03 4.04e+02 -3.3 3.74e-01 - 5.04e-01 1.84e-01f 1\n", + " 123r 4.3562608e+00 2.20e-02 3.79e+02 -3.3 4.54e-01 - 5.42e-01 2.93e-01f 1\n", + " 124r 4.4681363e+00 1.87e-02 3.34e+02 -3.3 1.17e-01 - 2.38e-01 1.58e-01f 1\n", + " 125r 4.3145730e+00 1.80e-02 3.16e+02 -3.3 7.07e-01 - 5.86e-02 5.16e-02f 1\n", + " 126r 4.6929399e+00 1.78e-02 2.98e+02 -3.3 5.35e-01 - 6.80e-02 5.70e-02f 1\n", + " 127r 5.3205643e+00 1.84e-02 2.83e+02 -3.3 9.33e-01 - 4.97e-02 4.97e-02f 1\n", + " 128r 5.8047281e+00 1.71e-02 2.50e+02 -3.3 3.11e-01 - 1.65e-01 1.09e-01f 1\n", + " 129r 6.7960912e+00 1.57e-02 2.00e+02 -3.3 3.07e-01 - 3.39e-01 2.32e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 6.7793469e+00 9.56e-03 1.47e+02 -3.3 1.25e-02 1.5 2.86e-01 3.99e-01f 1\n", + " 131r 6.7402556e+00 8.08e-03 1.08e+02 -3.3 6.85e-02 - 2.28e-01 1.68e-01f 1\n", + " 132r 6.6976943e+00 7.33e-03 2.49e+02 -3.3 6.15e-02 - 1.76e-01 9.47e-02f 1\n", + " 133r 6.6294226e+00 6.68e-03 2.54e+02 -3.3 8.02e-02 - 1.29e-01 9.12e-02f 1\n", + " 134r 6.2858371e+00 4.18e-03 1.99e+03 -3.3 8.54e-02 - 9.34e-02 4.23e-01f 1\n", + " 135r 6.2532754e+00 3.27e-03 1.57e+03 -3.3 2.39e-02 - 2.89e-01 2.17e-01f 1\n", + " 136r 6.2027948e+00 2.30e-03 1.11e+03 -3.3 1.90e-02 - 2.29e-01 2.97e-01f 1\n", + " 137r 6.1446326e+00 8.35e-04 4.00e+02 -3.3 1.06e-02 - 5.26e-01 6.39e-01f 1\n", + " 138r 6.1108704e+00 3.52e-06 2.08e+02 -3.3 1.58e-03 - 6.82e-01 1.00e+00f 1\n", + " 139r 6.1111422e+00 6.92e-07 4.48e-02 -3.3 6.73e-04 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 6.1112167e+00 6.92e-07 3.07e-05 -3.3 5.11e-06 - 1.00e+00 1.00e+00h 1\n", + " 141r 6.2426902e+00 3.79e-04 4.14e+01 -7.4 2.42e-02 - 1.00e+00 7.80e-01f 1\n", + " 142r 6.2715586e+00 2.46e-04 9.44e+01 -7.4 1.57e-02 - 8.91e-01 6.42e-01f 1\n", + " 143r 6.2616528e+00 8.10e-06 9.74e+00 -7.4 6.54e-04 - 8.85e-01 9.69e-01f 1\n", + " 144r 6.2598410e+00 1.30e-07 4.50e-05 -7.4 3.48e-04 - 1.00e+00 1.00e+00f 1\n", + " 145r 6.2598356e+00 7.28e-11 3.01e-10 -7.4 8.61e-07 - 1.00e+00 1.00e+00h 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Number of Iterations....: 145\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 6.2598356165211637e+00 6.2598356165211637e+00\n", + "Dual infeasibility......: 1.8401383972133090e-06 1.8401383972133090e-06\n", + "Constraint violation....: 2.9590072254427613e-12 7.2759576141834259e-11\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.9590072254427613e-12 1.8401383972133090e-06\n", + "\n", + "\n", + "Number of objective function evaluations = 152\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 152\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 147\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 145\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 67.679\n", + "Total CPU secs in NLP function evaluations = 32.908\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "FIM: [[0.0031686 0.01191217]\n", + " [0.01191217 0.64806589]]\n", + "Trace: 0.6512344827767854\n", + "Determinant: 0.001911559999671733\n", + "Condition number: 219.8594536226242\n", + "Minimal eigen value: 0.002948637570613255\n", + "Eigen values: [0.00294864 0.64828585]\n", + "Eigen vectors: [[-0.99982956 -0.01846197]\n", + " [ 0.01846197 -0.99982956]]\n", + "Model objective: -6.259835616521164\n", + "Objective(determinant) is: 0.0019115599996897873\n", + "Solution of temp_feed : [313.15]\n", + "Solution of yfeed : [0.15]\n", + "======problem solver output======\n", + "converged\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 378568\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 206072\n", + "\n", + "Reallocating memory for MA57: lfact (12163343)\n", + "Total number of variables............................: 93725\n", + " variables with only lower bounds: 2\n", + " variables with lower and upper bounds: 65842\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 93723\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 6.2598356e+00 2.90e+00 3.65e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 6.2609229e+00 2.89e+00 3.64e+01 -1.0 2.81e+02 - 6.46e-03 2.60e-03h 1\n", + " 2 6.2611715e+00 2.89e+00 2.00e+02 -1.0 1.25e+03 - 1.49e-03 2.60e-05h 1\n", + "Reallocating memory for MA57: lfact (12915816)\n", + " 3r 6.2611715e+00 2.89e+00 9.99e+02 0.5 0.00e+00 - 0.00e+00 1.30e-07R 2\n", + " 4r 6.1662789e+00 1.46e+00 9.98e+02 0.5 2.75e+03 - 1.36e-03 1.04e-03f 1\n", + " 5r 6.1662789e+00 1.46e+00 9.99e+02 -0.0 0.00e+00 - 0.00e+00 4.70e-07R 5\n", + " 6r 6.1347370e+00 7.96e-01 9.96e+02 -0.0 9.27e+02 - 3.14e-03 1.02e-03f 1\n", + " 7 6.1337521e+00 7.95e-01 6.91e+01 -1.0 8.16e+01 - 7.44e-02 1.17e-03h 1\n", + " 8 6.1336052e+00 7.95e-01 1.05e+04 -1.0 1.30e+03 - 1.76e-03 1.18e-05h 1\n", + " 9 6.1336533e+00 7.95e-01 2.23e+06 -1.0 1.44e+05 - 2.98e-05 7.01e-08f 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 6.1349455e+00 7.95e-01 4.16e+06 -1.0 8.76e+05 - 4.39e-06 9.82e-07f 3\n", + " 11 6.1189498e+00 7.92e-01 2.79e+06 -1.0 8.44e+05 - 5.24e-06 8.38e-06f 1\n", + "Reallocating memory for MA57: lfact (15702129)\n", + " 12 6.0986682e+00 7.90e-01 2.82e+06 -1.0 6.67e+05 - 1.22e-05 5.26e-06f 1\n", + "Reallocating memory for MA57: lfact (17653468)\n", + "Reallocating memory for MA57: lfact (26177273)\n", + " 13 6.0986654e+00 7.88e-01 2.82e+06 -1.0 2.00e-01 6.0 2.16e-02 2.52e-03h 1\n", + " 14 6.0984350e+00 7.84e-01 2.80e+06 -1.0 2.51e-01 5.5 1.35e-02 4.54e-03f 1\n", + " 15 6.0980345e+00 7.84e-01 2.80e+06 -1.0 1.09e+00 5.0 2.95e-03 4.68e-04f 1\n", + " 16 6.0972432e+00 7.84e-01 2.82e+06 -1.0 1.12e+05 - 2.89e-07 1.12e-07f 1\n", + " 17 6.0963532e+00 7.80e-01 2.80e+06 -1.0 2.52e-01 5.5 5.72e-02 5.68e-03f 1\n", + "Reallocating memory for MA57: lfact (27743163)\n", + " 18 6.0758729e+00 7.67e-01 2.76e+06 -1.0 8.56e-01 5.0 5.95e-03 1.57e-02f 1\n", + " 19 6.0757792e+00 7.67e-01 2.76e+06 -1.0 1.22e+05 - 4.04e-08 4.05e-08f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 6.0751326e+00 7.67e-01 2.45e+06 -1.0 1.14e+05 - 1.04e-07 2.70e-07f 1\n", + "Reallocating memory for MA57: lfact (29654947)\n", + " 21 6.0750054e+00 7.67e-01 2.45e+06 -1.0 2.57e-01 5.4 1.66e-03 7.53e-04h 1\n", + " 22 6.0748646e+00 7.67e-01 3.50e+06 -1.0 1.86e+05 - 2.25e-09 2.34e-08f 1\n", + " 23 6.0745936e+00 7.67e-01 5.18e+06 -1.0 1.96e+05 - 2.43e-08 4.06e-08f 1\n", + " 24 6.0739776e+00 7.67e-01 3.34e+06 -1.0 1.96e+05 - 1.11e-07 8.46e-08f 1\n", + "In iteration 24, 1 Slack too small, adjusting variable bound\n", + " 25 6.0738465e+00 7.67e-01 1.88e+07 -1.0 1.87e+05 - 1.38e-09 1.62e-08f 1\n", + " 26 6.0708960e+00 7.67e-01 3.56e+07 -1.0 2.01e+05 - 1.94e-09 3.23e-07f 1\n", + " 27 6.0630747e+00 7.67e-01 4.35e+07 -1.0 2.01e+05 - 3.20e-07 5.33e-07f 1\n", + " 28 5.4943208e+00 2.46e+02 7.56e+08 -1.0 2.01e+05 - 1.07e-06 2.64e-05f 1\n", + "Reallocating memory for MA57: lfact (31209109)\n", + "Reallocating memory for MA57: lfact (33475082)\n", + " 29 5.4943209e+00 1.04e+02 1.13e+13 -1.0 1.03e-02 15.3 9.90e-01 1.00e+00f 1\n", + "Reallocating memory for MA57: lfact (73892173)\n", + "Reallocating memory for MA57: lfact (125600585)\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 5.4943210e+00 4.23e+01 1.15e+13 -1.0 1.88e-02 14.8 1.98e-01 1.00e+00h 1\n", + "Reallocating memory for MA57: lfact (135125889)\n", + " 31 5.4943211e+00 3.11e+01 9.03e+12 -1.0 5.52e-03 15.2 1.00e+00 1.00e+00h 1\n", + " 32 5.4943214e+00 1.07e+02 9.59e+12 -1.0 1.87e-02 14.7 5.71e-01 1.00e+00h 1\n", + " 33 5.4943215e+00 6.40e+01 6.51e+12 -1.0 4.93e-03 15.2 1.00e+00 1.00e+00h 1\n", + "Reallocating memory for MA57: lfact (148018213)\n", + " 34 5.4943220e+00 9.52e+01 8.76e+12 -1.0 1.88e-02 14.7 1.00e+00 1.00e+00h 1\n", + " 35 5.4943222e+00 7.36e+01 5.35e+12 -1.0 4.46e-03 15.1 1.00e+00 1.00e+00h 1\n", + " 36 5.4943229e+00 2.07e+02 5.83e+12 -1.0 2.62e-02 14.6 1.00e+00 1.00e+00h 1\n", + " 37 5.4943232e+00 9.07e+01 5.55e+12 -1.0 1.14e-02 15.1 1.00e+00 1.00e+00h 1\n", + "Reallocating memory for MA57: lfact (157810213)\n", + " 38 5.4943243e+00 1.54e+02 7.94e+12 -1.0 1.89e-02 14.6 1.00e+00 1.00e+00h 1\n", + " 39 5.4943247e+00 7.25e+01 6.11e+12 -1.0 1.01e-02 15.0 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 5.4943261e+00 8.16e+01 1.12e+13 -1.0 2.16e-02 14.5 1.00e+00 1.00e+00h 1\n", + " 41 5.4943267e+00 8.24e+01 4.60e+12 -1.0 7.41e-03 15.0 1.00e+00 1.00e+00h 1\n", + " 42 5.4943280e+00 3.66e+01 3.01e+12 -1.0 3.82e-02 14.5 1.00e+00 6.86e-01H 1\n", + " 43 5.4943288e+00 2.72e+01 2.87e+12 -1.0 3.63e-03 14.9 1.00e+00 1.00e+00h 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 44 5.4943313e+00 1.22e+01 2.74e+12 -1.0 2.65e-02 14.4 1.00e+00 1.00e+00H 1\n", + " 45 5.4943324e+00 1.58e+01 2.33e+12 -1.0 3.64e-03 14.9 1.00e+00 1.00e+00H 1\n", + " 46 5.4943359e+00 1.42e+01 1.69e+12 -1.0 1.07e-02 14.4 1.00e+00 1.00e+00H 1\n", + " 47 5.4943374e+00 1.34e+01 1.59e+12 -1.0 2.58e-03 14.8 1.00e+00 1.00e+00H 1\n", + " 48 5.4943399e+00 1.29e+01 1.81e+12 -1.0 9.39e-03 14.3 1.00e+00 5.56e-01h 1\n", + " 49 5.4943399e+00 1.29e+01 1.72e+12 -1.0 4.37e-05 16.6 4.16e-01 4.16e-01s 21\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 5.4943399e+00 1.29e+01 1.00e+03 0.7 0.00e+00 18.8 0.00e+00 0.00e+00R 1\n", + " 51r 5.4095340e+00 6.60e+00 3.85e+03 0.7 5.18e+03 - 1.04e-03 9.90e-04f 1\n", + " 52 5.4105362e+00 6.60e+00 1.12e+04 -1.0 7.24e+00 - 5.56e-01 2.57e-04h 1\n", + " 53 5.4100126e+00 6.60e+00 3.24e+04 -1.0 3.60e+03 - 1.00e-04 1.43e-05h 1\n", + " 54 5.4100108e+00 6.60e+00 1.42e+05 -1.0 6.54e+03 - 3.52e-06 1.83e-08h 7\n", + " 55 5.4077704e+00 6.60e+00 4.21e+04 -1.0 4.06e+04 - 2.30e-07 4.78e-06f 1\n", + " 56 5.4031758e+00 6.60e+00 7.00e+04 -1.0 4.38e+04 - 5.13e-06 9.37e-06f 1\n", + " 57 5.3973869e+00 6.60e+00 5.03e+04 -1.0 4.36e+04 - 1.76e-05 1.22e-05f 1\n", + " 58 5.3973007e+00 6.60e+00 2.50e+07 -1.0 5.57e+04 - 3.34e-05 6.89e-08f 2\n", + " 59 5.3716581e+00 5.08e+00 8.04e+07 -1.0 1.48e+05 - 1.30e-05 4.01e-06f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 5.0512887e+00 1.32e+02 6.21e+07 -1.0 1.51e+05 - 1.61e-05 1.96e-05f 1\n", + " 61 5.1767988e+00 7.21e+01 9.93e+07 -1.0 1.00e+05 - 1.91e-05 1.59e-05f 1\n", + " 62 3.3646029e+00 7.62e+03 2.45e+08 -1.0 7.32e+04 - 5.21e-05 7.64e-05f 1\n", + " 63 3.3646029e+00 5.32e+03 1.08e+16 -1.0 6.86e-03 18.3 9.90e-01 1.00e+00f 1\n", + " 64 3.3646029e+00 2.46e+03 8.10e+15 -1.0 1.27e-02 17.8 1.00e+00 1.00e+00h 1\n", + " 65 3.3646029e+00 9.09e+02 3.96e+15 -1.0 1.33e-02 17.4 1.00e+00 1.00e+00h 1\n", + " 66 3.3646029e+00 5.00e+02 1.62e+15 -1.0 1.35e-02 16.9 1.00e+00 1.00e+00h 1\n", + " 67 3.3646029e+00 2.31e+02 5.91e+14 -1.0 1.74e-02 16.4 1.00e+00 1.00e+00h 1\n", + " 68 3.3646030e+00 2.06e+02 2.39e+14 -1.0 1.76e-02 15.9 1.00e+00 1.00e+00h 1\n", + " 69 3.3646034e+00 8.66e+01 9.26e+13 -1.0 3.14e-02 15.5 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 3.3646036e+00 2.44e+02 8.13e+13 -1.0 1.97e-02 15.9 1.00e+00 1.00e+00H 1\n", + " 71 3.3646036e+00 2.44e+02 7.12e+13 -1.0 3.89e+00 15.4 2.16e-08 6.26e-10H 1\n", + " 72 3.3646038e+00 2.01e+02 3.45e+13 -1.0 8.36e-03 15.8 1.00e+00 1.00e+00H 1\n", + " 73 3.3646046e+00 1.23e+02 2.08e+13 -1.0 2.71e-02 15.3 1.00e+00 1.00e+00H 1\n", + " 74 3.3646050e+00 1.31e+02 2.17e+13 -1.0 3.67e-03 15.8 1.00e+00 1.00e+00h 1\n", + " 75 3.3646061e+00 1.11e+02 3.87e+13 -1.0 1.74e-02 15.3 1.00e+00 1.00e+00h 1\n", + " 76 3.3646066e+00 1.34e+02 7.85e+13 -1.0 1.65e-02 15.7 1.00e+00 1.00e+00H 1\n", + " 77 3.3646068e+00 2.02e+02 7.89e+13 -1.0 7.18e-03 16.2 1.00e+00 1.00e+00H 1\n", + " 78 3.3646075e+00 9.23e+01 3.14e+13 -1.0 3.96e-02 15.7 1.00e+00 1.00e+00H 1\n", + " 79 3.3646078e+00 9.05e+01 3.97e+13 -1.0 3.10e-03 16.1 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 3.3646087e+00 1.48e+02 5.89e+13 -1.0 3.33e-02 15.6 1.00e+00 1.00e+00H 1\n", + " 81r 3.3646087e+00 1.48e+02 1.00e+03 1.5 0.00e+00 16.0 0.00e+00 4.77e-07R 22\n", + " 82r 3.1209422e+00 3.62e+01 9.98e+02 1.5 3.31e+04 - 3.13e-03 9.91e-04f 1\n", + " 83 3.1204867e+00 3.62e+01 7.40e+01 -1.0 1.49e+01 - 1.43e-02 4.30e-04h 1\n", + " 84 3.0905445e+00 3.58e+01 7.22e+01 -1.0 1.28e+01 - 3.02e-03 1.20e-02h 1\n", + " 85r 3.0905445e+00 3.58e+01 9.99e+02 0.9 0.00e+00 - 0.00e+00 3.21e-07R 5\n", + " 86r 3.0366785e+00 8.55e+00 9.99e+02 0.9 7.95e+03 - 4.76e-04 9.91e-04f 1\n", + " 87 3.0595626e+00 8.53e+00 2.93e+01 -1.0 2.11e+01 - 1.98e-02 1.46e-03h 1\n", + " 88 3.0180707e+00 8.31e+00 4.55e+01 -1.0 1.73e+01 - 1.92e-02 2.47e-02h 1\n", + " 89 3.0136787e+00 8.29e+00 1.21e+02 -1.0 2.27e+01 - 3.30e-02 2.20e-03h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90 2.9187060e+00 7.80e+00 7.37e+02 -1.0 2.31e+01 - 1.05e-01 4.72e-02f 1\n", + " 91 2.6837332e+00 1.92e+01 2.53e+03 -1.0 4.60e+01 - 2.36e-01 6.06e-02f 1\n", + " 92 2.6837347e+00 1.65e+01 1.52e+12 -1.0 4.40e-04 15.6 9.90e-01 1.00e+00h 1\n", + " 93 2.6837437e+00 9.03e+00 1.67e+12 -1.0 1.50e-03 15.1 1.00e+00 1.00e+00h 1\n", + " 94 2.6837842e+00 8.00e+00 8.62e+11 -1.0 2.09e-03 14.6 1.00e+00 1.00e+00h 1\n", + " 95 2.6839464e+00 8.00e+00 3.27e+11 -1.0 2.37e-03 14.1 1.00e+00 1.00e+00h 1\n", + " 96 2.6845545e+00 1.11e+01 1.18e+12 -1.0 1.59e-02 13.7 8.86e-01 1.00e+00h 1\n", + " 97 2.6848280e+00 7.99e+00 4.82e+11 -1.0 4.37e-03 14.1 1.00e+00 1.00e+00h 1\n", + " 98 2.6859197e+00 1.07e+01 4.95e+11 -1.0 2.72e-02 13.6 1.00e+00 1.00e+00H 1\n", + " 99 2.6863802e+00 9.96e+00 9.92e+11 -1.0 7.89e-03 14.0 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100 2.6865720e+00 1.01e+01 6.80e+11 -1.0 2.73e-03 14.5 1.00e+00 1.00e+00h 1\n", + " 101 2.6872050e+00 1.01e+01 3.73e+11 -1.0 4.43e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 102 2.6894469e+00 9.63e+00 1.91e+11 -1.0 8.90e-03 13.5 1.00e+00 1.00e+00H 1\n", + " 103 2.6903521e+00 9.47e+00 2.69e+11 -1.0 3.03e-03 13.9 1.00e+00 1.00e+00h 1\n", + " 104 2.6903748e+00 9.47e+00 2.71e+11 -1.0 3.02e-01 13.5 9.75e-02 7.81e-03h 8\n", + " 105 2.6914659e+00 9.30e+00 4.09e+11 -1.0 5.53e-03 13.9 1.00e+00 1.00e+00h 1\n", + " 106 2.6919022e+00 9.21e+00 3.72e+11 -1.0 1.90e-03 14.3 1.00e+00 1.00e+00h 1\n", + " 107 2.6932919e+00 9.03e+00 4.41e+11 -1.0 7.36e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 108 2.6938435e+00 8.96e+00 3.34e+11 -1.0 1.83e-03 14.3 1.00e+00 1.00e+00h 1\n", + " 109 2.6956797e+00 8.77e+00 4.46e+11 -1.0 1.19e-02 13.8 1.00e+00 1.00e+00H 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110 2.6964364e+00 8.68e+00 3.39e+11 -1.0 3.15e-03 14.2 1.00e+00 1.00e+00H 1\n", + " 111 2.6989094e+00 8.54e+00 3.21e+11 -1.0 6.22e-03 13.7 1.00e+00 1.00e+00H 1\n", + " 112 2.6999132e+00 8.48e+00 3.93e+11 -1.0 2.81e-03 14.2 1.00e+00 1.00e+00H 1\n", + " 113r 2.6999132e+00 8.48e+00 1.00e+03 0.9 0.00e+00 13.7 0.00e+00 4.54e-07R 19\n", + " 114r 2.2990295e+00 6.98e+00 9.98e+02 0.9 6.19e+03 - 2.22e-03 1.25e-03f 1\n", + " 115 1.2568322e+01 5.15e+00 1.48e+04 -1.0 2.67e+01 - 7.23e-01 1.91e-01h 1\n", + " 116 1.2568398e+01 4.58e+00 3.48e+10 -1.0 1.76e-03 13.2 9.90e-01 1.00e+00h 1\n", + " 117 1.2568853e+01 3.86e+00 3.02e+10 -1.0 9.66e-03 12.7 1.00e+00 1.00e+00h 1\n", + " 118 1.2570897e+01 8.31e+00 7.31e+10 -1.0 1.86e-02 12.2 8.20e-01 1.00e+00f 1\n", + " 119 1.2571918e+01 3.88e+00 1.43e+10 -1.0 5.52e-03 12.7 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120 1.2575728e+01 8.24e+00 3.91e+10 -1.0 1.48e-02 12.2 1.00e+00 1.00e+00h 1\n", + " 121 1.2577439e+01 9.78e+00 1.67e+10 -1.0 5.22e-03 12.6 1.00e+00 1.00e+00h 1\n", + " 122 1.2578186e+01 5.95e+00 2.58e+10 -1.0 3.98e-03 13.0 1.00e+00 1.00e+00h 1\n", + " 123 1.2580736e+01 3.79e+00 2.36e+10 -1.0 6.27e-03 12.6 1.00e+00 1.00e+00h 1\n", + " 124 1.2581809e+01 3.68e+00 2.67e+10 -1.0 2.68e-03 13.0 1.00e+00 1.00e+00h 1\n", + " 125 1.2582031e+01 3.66e+00 2.70e+10 -1.0 3.92e-02 12.5 9.28e-02 6.25e-02h 5\n", + " 126 1.2583377e+01 3.52e+00 3.05e+10 -1.0 3.43e-03 12.9 1.00e+00 1.00e+00h 1\n", + " 127 1.2583931e+01 3.46e+00 3.34e+10 -1.0 1.41e-03 13.4 1.00e+00 1.00e+00h 1\n", + " 128 1.2585736e+01 3.23e+00 3.72e+10 -1.0 4.72e-03 12.9 1.00e+00 1.00e+00h 1\n", + " 129 1.2586468e+01 3.12e+00 4.02e+10 -1.0 1.92e-03 13.3 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130 1.2586762e+01 3.08e+00 4.29e+10 -1.0 7.68e-04 13.7 1.00e+00 1.00e+00h 1\n", + " 131 1.2587707e+01 2.94e+00 4.66e+10 -1.0 2.50e-03 13.3 1.00e+00 1.00e+00h 1\n", + " 132 1.2588084e+01 2.88e+00 4.95e+10 -1.0 9.97e-04 13.7 1.00e+00 1.00e+00h 1\n", + " 133 1.2589350e+01 2.71e+00 5.61e+10 -1.0 3.23e-03 13.2 1.00e+00 1.00e+00H 1\n", + " 134 1.2589850e+01 2.71e+00 5.93e+10 -1.0 1.34e-03 13.6 1.00e+00 1.00e+00h 1\n", + " 135 1.2589883e+01 2.70e+00 5.94e+10 -1.0 1.21e-02 13.2 1.00e+00 1.96e-02H 1\n", + " 136 1.2589938e+01 2.70e+00 5.97e+10 -1.0 1.60e-03 13.6 1.00e+00 9.33e-02h 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 137r 1.2589938e+01 2.70e+00 1.00e+03 0.4 0.00e+00 16.7 0.00e+00 4.77e-07R 22\n", + " 138r 1.1824065e+01 2.28e+00 9.97e+02 0.4 2.35e+03 - 2.87e-03 1.14e-03f 1\n", + " 139 1.2566616e+01 6.22e+00 9.77e+03 -1.0 7.98e+00 - 4.96e-01 2.86e-01H 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140 1.2566616e+01 6.21e+00 7.21e+10 -1.0 4.04e-06 16.3 9.90e-01 1.00e+00h 1\n", + " 141 1.2566616e+01 6.20e+00 1.32e+11 -1.0 2.21e-05 15.8 1.00e+00 1.00e+00h 1\n", + " 142 1.2566616e+01 6.12e+00 1.74e+11 -1.0 8.82e-05 15.3 1.00e+00 1.00e+00h 1\n", + " 143 1.2566614e+01 5.82e+00 2.07e+11 -1.0 3.16e-04 14.8 1.00e+00 1.00e+00h 1\n", + " 144 1.2566608e+01 4.79e+00 2.15e+11 -1.0 9.78e-04 14.3 1.00e+00 1.00e+00h 1\n", + " 145 1.2566586e+01 1.79e+00 2.29e+11 -1.0 3.11e-03 13.9 1.00e+00 1.00e+00h 1\n", + " 146 1.2566510e+01 1.81e+01 2.59e+11 -1.0 1.15e-02 13.4 1.00e+00 1.00e+00h 1\n", + " 147 1.2566248e+01 2.34e+01 1.25e+11 -1.0 1.35e-02 12.9 1.00e+00 1.00e+00h 1\n", + " 148 1.2566137e+01 9.37e+00 1.77e+11 -1.0 8.97e-03 13.3 1.00e+00 1.00e+00h 1\n", + " 149 1.2565769e+01 1.01e+02 1.04e+12 -1.0 2.98e-02 12.9 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150 1.2565750e+01 2.26e+01 1.59e+12 -1.0 1.14e-02 14.2 1.00e+00 1.00e+00h 1\n", + " 151 1.2565688e+01 5.88e+01 9.35e+11 -1.0 1.45e-02 13.7 1.00e+00 1.00e+00h 1\n", + " 152 1.2565500e+01 2.15e+00 5.80e+10 -1.0 3.38e-02 13.2 1.00e+00 8.65e-01H 1\n", + " 153 1.2564815e+01 5.72e+00 3.19e+10 -1.0 6.59e-03 12.8 1.00e+00 1.00e+00h 1\n", + " 154 1.2564541e+01 2.85e+00 4.03e+10 -1.0 2.82e-03 13.2 8.02e-01 1.00e+00h 1\n", + " 155 1.2564431e+01 2.21e+00 5.70e+10 -1.0 1.44e-03 13.6 1.00e+00 1.00e+00h 1\n", + " 156 1.2564084e+01 2.40e+00 4.68e+10 -1.0 3.41e-03 13.1 1.00e+00 1.00e+00h 1\n", + " 157 1.2563947e+01 2.49e+00 3.65e+10 -1.0 1.05e-03 13.6 1.00e+00 1.00e+00h 1\n", + " 158 1.2563512e+01 2.70e+00 2.81e+10 -1.0 2.13e-03 13.1 1.00e+00 1.00e+00h 1\n", + " 159 1.2563341e+01 2.76e+00 2.46e+10 -1.0 7.43e-04 13.5 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160 1.2562804e+01 2.85e+00 2.70e+10 -1.0 2.13e-03 13.0 1.00e+00 1.00e+00h 1\n", + " 161 1.2562594e+01 2.87e+00 2.41e+10 -1.0 8.78e-04 13.5 1.00e+00 1.00e+00h 1\n", + " 162 1.2562511e+01 2.88e+00 2.49e+10 -1.0 3.26e-04 13.9 1.00e+00 1.00e+00h 1\n", + " 163 1.2562254e+01 2.89e+00 3.06e+10 -1.0 1.17e-03 13.4 1.00e+00 1.00e+00h 1\n", + " 164 1.2562153e+01 2.90e+00 3.51e+10 -1.0 5.14e-04 13.8 1.00e+00 1.00e+00h 1\n", + " 165 1.2561840e+01 2.90e+00 4.73e+10 -1.0 2.05e-03 13.4 1.00e+00 1.00e+00h 1\n", + " 166 1.2561719e+01 2.91e+00 4.89e+10 -1.0 8.15e-04 13.8 1.00e+00 1.00e+00h 1\n", + " 167 1.2561328e+01 2.91e+00 4.66e+10 -1.0 2.81e-03 13.3 1.00e+00 1.00e+00H 1\n", + " 168 1.2561176e+01 2.92e+00 6.79e+10 -1.0 1.23e-03 13.7 1.00e+00 1.00e+00h 1\n", + " 169 1.2561144e+01 2.92e+00 8.46e+10 -1.0 1.71e-02 13.3 1.00e+00 6.74e-02h 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170 1.2560962e+01 2.92e+00 1.04e+11 -1.0 2.52e-03 13.7 1.00e+00 1.00e+00H 1\n", + " 171 1.2560890e+01 2.92e+00 1.13e+11 -1.0 9.16e-04 14.1 1.00e+00 1.00e+00H 1\n", + " 172 1.2560876e+01 2.92e+00 1.18e+11 -1.0 4.37e-03 13.6 1.00e+00 6.22e-02H 1\n", + " 173r 1.2560876e+01 2.92e+00 1.00e+03 0.1 0.00e+00 16.8 0.00e+00 4.45e-07R 22\n", + " 174r 1.2284549e+01 2.42e+01 9.99e+02 0.1 1.06e+03 - 1.64e-03 1.04e-03f 1\n", + " 175r 1.2107746e+01 2.14e+01 1.83e+04 0.1 1.46e-01 4.0 1.94e-01 1.25e-01f 1\n", + " 176r 1.1758785e+01 1.90e+01 7.04e+03 0.1 3.29e-01 3.5 2.41e-01 1.10e-01f 1\n", + " 177r 1.1581508e+01 1.63e+01 5.54e+03 0.1 1.21e-01 3.9 1.52e-01 1.47e-01f 1\n", + " 178r 1.1502634e+01 1.58e+01 5.58e+03 0.1 5.12e-01 3.5 8.94e-02 2.88e-02f 1\n", + " 179r 1.1279654e+01 1.28e+01 5.14e+03 0.1 1.33e-01 3.9 5.45e-01 1.92e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r 1.0930279e+01 1.08e+01 4.44e+03 0.1 3.83e-01 3.4 2.91e-01 1.46e-01f 1\n", + " 181r 1.0736748e+01 8.63e+00 4.04e+03 0.1 1.43e-01 3.8 6.93e-01 1.96e-01f 1\n", + " 182r 1.0463634e+01 7.42e+00 3.42e+03 0.1 3.85e-01 3.4 1.00e+00 1.37e-01f 1\n", + " 183r 1.0232188e+01 5.26e+00 2.49e+03 0.1 1.04e-01 3.8 1.00e+00 3.03e-01f 1\n", + " 184r 1.0049236e+01 4.28e+00 1.85e+03 0.1 3.70e-01 3.3 9.29e-01 1.84e-01f 1\n", + " 185r 9.8402299e+00 2.48e+00 1.08e+03 0.1 8.86e-02 3.7 1.00e+00 4.33e-01f 1\n", + " 186 9.8316521e+00 2.46e+00 9.24e+01 -1.0 2.51e+01 - 8.45e-01 9.28e-03h 6\n", + " 187 9.8316521e+00 2.45e+00 3.43e+10 -1.0 1.78e-06 16.3 9.91e-01 1.00e+00h 1\n", + " 188 9.8316521e+00 2.45e+00 6.85e+10 -1.0 1.07e-05 15.8 1.00e+00 1.00e+00h 1\n", + " 189 9.8316521e+00 2.42e+00 1.02e+11 -1.0 4.76e-05 15.3 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190 9.8316521e+00 2.32e+00 1.32e+11 -1.0 1.85e-04 14.9 1.00e+00 1.00e+00h 1\n", + " 191 9.8316520e+00 1.98e+00 1.49e+11 -1.0 6.31e-04 14.4 1.00e+00 1.00e+00h 1\n", + " 192 9.8316518e+00 1.16e+00 1.34e+11 -1.0 1.71e-03 13.9 1.00e+00 1.00e+00h 1\n", + " 193 9.8316513e+00 4.54e-01 8.74e+10 -1.0 3.06e-03 13.4 1.00e+00 1.00e+00h 1\n", + " 194 9.8316492e+00 8.75e-01 4.18e+10 -1.0 3.51e-03 12.9 1.00e+00 1.00e+00h 1\n", + " 195 9.8316423e+00 1.32e+00 1.20e+10 -1.0 2.43e-03 12.5 1.00e+00 1.00e+00h 1\n", + " 196 9.8316192e+00 1.31e+00 7.24e+09 -1.0 7.42e-03 12.0 1.00e+00 1.00e+00h 1\n", + " 197 9.8316096e+00 9.50e-01 1.95e+10 -1.0 4.26e-03 12.4 1.00e+00 1.00e+00h 1\n", + " 198 9.8316056e+00 2.11e-01 2.26e+10 -1.0 5.06e-03 12.8 1.00e+00 1.00e+00h 1\n", + " 199 9.8316024e+00 4.25e-01 2.32e+10 -1.0 1.08e-02 12.4 1.00e+00 2.50e-01h 3\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200 9.8315589e+00 1.15e+00 5.07e+10 -1.0 4.51e-02 11.9 1.00e+00 1.00e+00H 1\n", + " 201 9.8313918e+00 8.15e-01 2.62e+10 -1.0 1.30e-02 11.4 1.00e+00 1.00e+00H 1\n", + " 202 9.8307842e+00 1.16e-01 9.21e+09 -1.0 6.50e-03 10.9 1.00e+00 1.00e+00H 1\n", + " 203 9.8280814e+00 1.42e-01 2.90e+09 -1.0 1.79e-02 10.5 1.00e+00 1.00e+00H 1\n", + " 204 9.8180874e+00 1.94e-01 1.18e+09 -1.0 5.02e-02 10.0 1.00e+00 1.00e+00h 1\n", + " 205 9.7977094e+00 2.51e-01 7.45e+08 -1.0 1.45e-01 9.5 1.00e+00 4.80e-01h 1\n", + " 206 9.7973867e+00 2.52e-01 7.43e+08 -1.0 3.78e-01 9.0 1.89e-03 1.89e-03s 13\n", + " 207r 9.7973867e+00 2.52e-01 9.99e+02 -0.6 0.00e+00 8.5 0.00e+00 0.00e+00R 1\n", + " 208r 9.7961731e+00 1.71e+00 9.92e+02 -0.6 2.29e+02 - 7.89e-03 1.09e-03f 1\n", + " 209r 9.7783115e+00 1.75e+00 9.91e+02 -0.6 3.27e+00 2.0 2.75e-01 9.36e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 210r 9.6524944e+00 1.05e+01 9.57e+02 -0.6 3.75e+00 1.5 6.91e-02 3.37e-02f 1\n", + " 211r 9.1723958e+00 8.20e+00 7.17e+02 -0.6 1.93e-01 1.9 6.06e-01 2.13e-01f 1\n", + " 212r 8.7105108e+00 2.61e+00 2.84e+03 -0.6 6.77e-02 2.4 1.00e+00 5.54e-01f 1\n", + " 213r 8.1517130e+00 1.59e+00 1.56e+03 -0.6 1.89e-01 1.9 5.68e-01 5.33e-01f 1\n", + " 214r 7.8408189e+00 1.28e+00 1.23e+03 -0.6 5.07e-01 1.4 4.80e-01 2.05e-01f 1\n", + " 215r 7.3563275e+00 6.72e-01 1.24e+03 -0.6 9.05e-02 1.8 3.12e-01 6.03e-01f 1\n", + " 216r 6.3318421e+00 1.64e-01 2.12e+03 -0.6 1.12e-01 1.4 3.80e-01 1.00e+00f 1\n", + " 217 6.3316353e+00 1.64e-01 6.33e+02 -1.0 3.86e+02 - 8.89e-02 1.86e-04h 11\n", + " 218 5.5815278e+00 1.85e+02 1.54e+03 -1.0 6.01e+01 - 1.56e-01 3.05e-01f 1\n", + " 219 5.4549063e+00 1.80e+02 3.41e+03 -1.0 7.02e+01 - 1.94e-01 2.93e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 220 4.7021797e+00 2.50e+02 5.82e+03 -1.0 7.12e+01 - 2.61e-01 1.73e-01h 1\n", + " 221 4.2203273e+00 1.32e+02 1.68e+04 -1.0 1.35e+02 - 2.08e-01 3.14e-01H 1\n", + " 222 4.2535058e+00 1.49e+02 1.98e+09 -1.0 6.36e-01 8.1 2.65e-01 1.00e+00f 1\n", + " 223 4.2560443e+00 4.52e+01 4.25e+11 -1.0 2.64e-01 9.4 3.64e-01 1.00e+00f 1\n", + " 224 4.2560633e+00 8.27e+01 1.12e+12 -1.0 8.46e-02 11.6 3.21e-01 9.23e-01h 1\n", + " 225 4.2560634e+00 9.03e+00 5.70e+11 -1.0 8.52e-03 13.9 1.00e+00 1.00e+00h 1\n", + " 226 4.2560640e+00 2.77e+00 2.02e+11 -1.0 6.33e-03 13.4 2.45e-01 1.00e+00h 1\n", + " 227 4.2560642e+00 2.55e+00 1.88e+11 -1.0 2.88e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 228 4.2560651e+00 6.97e+00 8.60e+11 -1.0 2.04e-02 13.3 1.00e+00 1.00e+00h 1\n", + " 229 4.2560679e+00 5.54e+00 9.20e+10 -1.0 5.38e-03 12.9 1.00e+00 1.00e+00h 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 230 4.2560776e+00 2.39e+00 2.72e+10 -1.0 1.03e-02 12.4 1.00e+00 1.00e+00h 1\n", + " 231 4.2560816e+00 2.39e+00 5.15e+10 -1.0 7.08e-03 12.8 1.00e+00 1.00e+00h 1\n", + " 232 4.2560832e+00 2.39e+00 9.59e+10 -1.0 4.98e-03 13.2 1.00e+00 1.00e+00h 1\n", + " 233 4.2560839e+00 2.39e+00 1.64e+11 -1.0 3.28e-03 13.7 1.00e+00 1.00e+00h 1\n", + " 234 4.2560841e+00 2.39e+00 2.63e+11 -1.0 1.94e-03 14.1 1.00e+00 1.00e+00h 1\n", + " 235 4.2560843e+00 2.39e+00 3.42e+11 -1.0 1.03e-03 14.5 1.00e+00 1.00e+00h 1\n", + " 236 4.2560846e+00 2.39e+00 7.97e+11 -1.0 7.32e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 237 4.2560847e+00 2.39e+00 1.33e+12 -1.0 3.91e-03 14.5 1.00e+00 1.00e+00h 1\n", + " 238 4.2560848e+00 2.39e+00 1.66e+12 -1.0 2.13e-03 14.9 1.00e+00 1.00e+00h 1\n", + " 239 4.2560850e+00 2.48e+01 4.09e+12 -1.0 1.60e-02 14.4 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 240 4.2560855e+00 1.17e+01 8.51e+11 -1.0 6.93e-03 13.9 1.00e+00 1.00e+00h 1\n", + " 241 4.2560873e+00 5.00e+00 1.51e+11 -1.0 5.99e-03 13.5 1.00e+00 1.00e+00h 1\n", + " 242 4.2560928e+00 2.38e+00 7.69e+10 -1.0 7.50e-03 13.0 1.00e+00 1.00e+00h 1\n", + " 243 4.2560949e+00 2.38e+00 1.21e+11 -1.0 4.45e-03 13.4 1.00e+00 1.00e+00h 1\n", + " 244 4.2560958e+00 2.38e+00 1.66e+11 -1.0 2.37e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 245 4.2560958e+00 6.40e+01 3.49e+13 -1.0 1.73e+00 13.4 1.55e-02 3.12e-02h 6\n", + " 246 4.2561038e+00 3.21e+01 1.01e+13 -1.0 5.38e-02 12.9 8.63e-01 1.00e+00h 1\n", + " 247 4.2561038e+00 2.60e+01 8.78e+12 -1.0 6.74e-03 15.1 1.00e+00 1.00e+00h 1\n", + " 248 4.2561039e+00 2.75e+02 6.15e+13 -1.0 8.33e-02 14.6 4.55e-01 5.00e-01h 2\n", + " 249 4.2561039e+00 8.93e+01 2.93e+13 -1.0 1.94e-02 15.1 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 250 4.2561041e+00 2.64e+01 1.18e+13 -1.0 1.71e-02 14.6 1.00e+00 1.00e+00h 1\n", + " 251 4.2561042e+00 1.11e+01 8.13e+12 -1.0 8.14e-03 15.0 1.00e+00 1.00e+00h 1\n", + " 252 4.2561042e+00 7.80e+00 7.69e+12 -1.0 2.93e-03 15.4 1.00e+00 1.00e+00h 1\n", + " 253 4.2561043e+00 1.10e+01 4.81e+12 -1.0 8.26e-03 15.0 1.00e+00 1.00e+00H 1\n", + " 254 4.2561046e+00 8.71e+00 2.52e+12 -1.0 5.31e-03 14.5 1.00e+00 1.00e+00h 1\n", + " 255 4.2561054e+00 3.68e+00 9.59e+11 -1.0 5.87e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 256 4.2561080e+00 2.38e+00 2.88e+11 -1.0 5.03e-03 13.5 1.00e+00 1.00e+00H 1\n", + " 257 4.2561090e+00 2.38e+00 2.48e+11 -1.0 2.70e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 258 4.2561094e+00 2.38e+00 2.93e+11 -1.0 1.22e-03 14.4 1.00e+00 1.00e+00h 1\n", + " 259 4.2561106e+00 2.38e+00 8.20e+11 -1.0 7.22e-03 13.9 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 260 4.2561111e+00 2.38e+00 5.44e+12 -1.0 1.56e-02 14.3 1.00e+00 1.00e+00h 1\n", + " 261 4.2561111e+00 2.86e+00 6.29e+12 -1.0 1.39e-03 15.7 1.00e+00 1.00e+00h 1\n", + " 262 4.2561111e+00 1.08e+01 1.25e+13 -1.0 7.51e-03 15.2 1.00e+00 1.00e+00h 1\n", + " 263 4.2561112e+00 1.65e+01 1.31e+13 -1.0 3.40e-03 15.6 1.00e+00 1.00e+00h 1\n", + " 264 4.2561112e+00 5.63e+01 8.39e+12 -1.0 1.28e-02 15.1 1.00e+00 1.00e+00h 1\n", + " 265 4.2561115e+00 2.37e+01 4.12e+11 -1.0 9.62e-03 14.6 1.00e+00 1.00e+00h 1\n", + " 266 4.2561122e+00 9.26e+00 4.68e+11 -1.0 7.91e-03 14.2 1.00e+00 1.00e+00h 1\n", + " 267 4.2561145e+00 2.85e+00 2.94e+11 -1.0 5.74e-03 13.7 1.00e+00 1.00e+00h 1\n", + " 268 4.2561154e+00 2.38e+00 3.42e+11 -1.0 2.86e-03 14.1 1.00e+00 1.00e+00h 1\n", + " 269 4.2561181e+00 2.38e+00 3.40e+11 -1.0 4.76e-03 13.6 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 270 4.2561264e+00 1.09e+01 2.47e+11 -1.0 1.88e-02 13.2 1.00e+00 1.00e+00h 1\n", + " 271 4.2561295e+00 4.79e+00 2.24e+12 -1.0 1.71e-02 13.6 1.00e+00 1.00e+00h 1\n", + " 272 4.2561297e+00 4.50e+00 3.36e+12 -1.0 4.39e-03 14.9 1.00e+00 1.00e+00h 1\n", + " 273 4.2561301e+00 3.36e+01 8.12e+12 -1.0 6.49e-02 14.4 1.00e+00 1.00e+00H 1\n", + " 274 4.2561316e+00 1.59e+01 1.99e+12 -1.0 9.88e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 275 4.2561321e+00 1.02e+01 7.36e+11 -1.0 3.83e-03 14.4 1.00e+00 1.00e+00h 1\n", + " 276 4.2561337e+00 6.52e+00 3.59e+11 -1.0 6.38e-03 13.9 1.00e+00 1.00e+00h 1\n", + " 277 4.2561388e+00 4.20e+00 2.17e+12 -1.0 2.59e-02 13.4 1.00e+00 1.00e+00h 1\n", + " 278 4.2561390e+00 3.90e+00 2.02e+12 -1.0 3.44e-03 14.8 1.00e+00 1.00e+00h 1\n", + " 279 4.2561398e+00 1.05e+01 2.35e+12 -1.0 1.28e-02 14.3 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 280 4.2561420e+00 2.90e+01 3.07e+12 -1.0 1.10e-02 13.8 1.00e+00 1.00e+00h 1\n", + " 281 4.2561428e+00 2.01e+01 3.47e+12 -1.0 2.08e-02 14.2 1.00e+00 1.00e+00h 1\n", + " 282 4.2561454e+00 7.88e+00 7.52e+11 -1.0 6.73e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 283 4.2561534e+00 2.69e+00 1.93e+11 -1.0 1.03e-02 13.3 1.00e+00 1.00e+00h 1\n", + " 284 4.2561775e+00 8.58e+02 1.14e+14 -1.0 2.00e-01 12.8 5.02e-01 1.00e+00h 1\n", + " 285 4.2561867e+00 2.82e+02 3.70e+13 -1.0 2.95e-02 13.2 1.00e+00 1.00e+00h 1\n", + " 286 4.2561902e+00 9.32e+01 1.07e+14 -1.0 6.58e-02 13.7 4.92e-01 1.00e+00h 1\n", + " 287 4.2561902e+00 1.36e+02 3.93e+13 -1.0 1.21e-02 15.9 1.00e+00 1.00e+00h 1\n", + " 288 4.2561902e+00 5.97e+01 2.16e+13 -1.0 1.18e-02 15.4 1.00e+00 1.00e+00h 1\n", + " 289 4.2561904e+00 2.33e+01 9.78e+12 -1.0 1.09e-02 14.9 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 290 4.2561910e+00 7.62e+00 3.77e+12 -1.0 9.73e-03 14.5 1.00e+00 1.00e+00h 1\n", + " 291 4.2561928e+00 2.73e+00 1.26e+12 -1.0 6.91e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 292 4.2561930e+00 2.71e+00 1.39e+12 -1.0 4.16e-01 13.5 1.76e-01 3.12e-02h 6\n", + " 293 4.2561932e+00 3.65e+00 1.53e+12 -1.0 2.28e-03 14.8 1.00e+00 1.00e+00s 22\n", + " 294 4.2561940e+00 1.53e+01 1.35e+12 -1.0 9.36e-03 14.4 1.00e+00 1.00e+00s 22\n", + " 295 4.2561963e+00 7.15e+00 3.23e+11 -1.0 5.78e-03 13.9 1.00e+00 1.00e+00s 22\n", + " 296 4.2562035e+00 2.61e+00 8.56e+11 -1.0 2.31e-02 13.4 1.00e+00 0.00e+00S 22\n", + " 297 4.2562062e+00 2.36e+00 5.89e+11 -1.0 8.69e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 298 4.2562143e+00 1.06e+01 2.73e+12 -1.0 4.19e-02 13.4 1.00e+00 1.00e+00h 1\n", + " 299 4.2562147e+00 1.37e+01 9.50e+11 -1.0 2.93e-03 14.7 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 300 4.2562158e+00 8.67e+00 2.25e+11 -1.0 5.22e-03 14.2 1.00e+00 1.00e+00h 1\n", + " 301 4.2562194e+00 5.14e+00 8.38e+11 -1.0 5.66e-03 13.7 1.00e+00 1.00e+00h 1\n", + " 302 4.2562302e+00 3.77e+00 2.70e+11 -1.0 1.36e-02 13.3 1.00e+00 1.00e+00h 1\n", + " 303 4.2562631e+00 1.37e+01 1.73e+12 -1.0 6.22e-02 12.8 1.00e+00 1.00e+00h 1\n", + " 304 4.2562755e+00 5.94e+00 7.32e+11 -1.0 1.51e-02 13.2 1.00e+00 1.00e+00h 1\n", + " 305 4.2562761e+00 5.58e+00 1.24e+12 -1.0 3.23e-03 14.5 1.00e+00 1.00e+00h 1\n", + " 306 4.2562763e+00 4.93e+00 1.69e+12 -1.0 1.80e-03 15.0 1.00e+00 1.00e+00h 1\n", + " 307 4.2562770e+00 2.09e+03 1.86e+15 -1.0 1.08e-01 14.5 2.04e-01 1.00e+00h 1\n", + " 308 4.2562791e+00 6.98e+02 6.07e+14 -1.0 2.63e-02 14.0 1.00e+00 1.00e+00h 1\n", + " 309 4.2562853e+00 2.41e+02 1.98e+14 -1.0 2.03e-02 13.5 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 310 4.2563043e+00 9.21e+01 6.37e+13 -1.0 4.21e-02 13.0 1.00e+00 1.00e+00h 1\n", + " 311 4.2563115e+00 4.81e+01 1.80e+13 -1.0 2.47e-02 13.5 1.00e+00 1.00e+00h 1\n", + " 312 4.2563333e+00 2.29e+01 5.29e+12 -1.0 3.04e-02 13.0 1.00e+00 1.00e+00h 1\n", + " 313 4.2563334e+00 2.06e+01 2.68e+12 -1.0 1.56e-03 15.2 1.00e+00 1.00e+00h 1\n", + " 314 4.2563338e+00 1.08e+01 1.39e+13 -1.0 1.45e-02 14.7 1.00e+00 1.00e+00h 1\n", + " 315 4.2563340e+00 1.95e+03 1.45e+15 -1.0 9.63e-02 15.2 6.31e-01 1.00e+00h 1\n", + " 316 4.2563344e+00 6.49e+02 4.67e+14 -1.0 2.65e-02 14.7 1.00e+00 1.00e+00h 1\n", + " 317 4.2563358e+00 2.23e+02 1.51e+14 -1.0 2.05e-02 14.2 1.00e+00 1.00e+00h 1\n", + " 318 4.2563399e+00 8.33e+01 4.84e+13 -1.0 1.52e-02 13.7 1.00e+00 1.00e+00h 1\n", + " 319 4.2563415e+00 4.19e+01 1.33e+13 -1.0 8.78e-03 14.2 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 320 4.2563462e+00 2.01e+01 5.08e+12 -1.0 3.32e-02 13.7 1.00e+00 1.00e+00h 1\n", + " 321 4.2563464e+00 1.71e+01 5.18e+12 -1.0 5.39e-03 15.0 1.00e+00 1.00e+00h 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 322 4.2563471e+00 2.86e+01 1.60e+12 -1.0 7.74e-03 14.5 1.00e+00 1.00e+00h 1\n", + " 323 4.2563492e+00 9.95e+00 8.96e+11 -1.0 1.00e-02 14.1 1.00e+00 1.00e+00h 1\n", + " 324 4.2563554e+00 3.39e+00 3.98e+11 -1.0 1.00e-02 13.6 1.00e+00 1.00e+00h 1\n", + " 325 4.2563577e+00 5.25e+00 3.97e+11 -1.0 4.13e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 326 4.2563649e+00 1.22e+01 3.38e+11 -1.0 8.64e-03 13.5 1.00e+00 1.00e+00h 1\n", + " 327 4.2563676e+00 5.91e+00 3.70e+11 -1.0 6.50e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 328 4.2563757e+00 2.47e+00 5.23e+11 -1.0 1.63e-02 13.5 1.00e+00 1.00e+00h 1\n", + " 329 4.2563788e+00 5.71e+00 3.55e+11 -1.0 5.89e-03 13.9 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 330 4.2563882e+00 3.09e+00 1.51e+11 -1.0 6.08e-03 13.4 1.00e+00 1.00e+00h 1\n", + " 331 4.2564165e+00 3.75e+00 7.63e+10 -1.0 7.64e-03 13.0 1.00e+00 1.00e+00h 1\n", + " 332 4.2564272e+00 2.32e+00 1.05e+11 -1.0 4.88e-03 13.4 1.00e+00 1.00e+00h 1\n", + " 333 4.2564595e+00 9.24e+00 8.22e+10 -1.0 1.62e-02 12.9 1.00e+00 1.00e+00h 1\n", + " 334 4.2565574e+00 2.30e+00 6.86e+12 -1.0 8.50e-02 12.4 1.00e+00 1.00e+00h 1\n", + " 335 4.2565575e+00 2.30e+00 1.00e+13 -1.0 2.59e-03 15.6 1.00e+00 1.00e+00h 1\n", + " 336 4.2565575e+00 2.30e+00 1.17e+13 -1.0 1.18e-03 16.0 1.00e+00 1.00e+00h 1\n", + " 337 4.2565576e+00 2.30e+00 2.54e+13 -1.0 6.68e-03 15.5 1.00e+00 1.00e+00h 1\n", + " 338 4.2565576e+00 5.11e+00 3.61e+13 -1.0 4.04e-03 15.9 1.00e+00 1.00e+00h 1\n", + " 339 4.2565577e+00 6.76e+00 4.07e+13 -1.0 1.73e-03 16.4 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 340 4.2565577e+00 1.99e+01 7.49e+13 -1.0 8.75e-03 15.9 1.00e+00 1.00e+00h 1\n", + " 341 4.2565577e+00 3.00e+01 8.61e+13 -1.0 4.19e-03 16.3 1.00e+00 1.00e+00h 1\n", + " 342 4.2565577e+00 2.16e+02 1.52e+14 -1.0 2.79e-02 15.8 1.00e+00 1.00e+00h 1\n", + " 343 4.2565579e+00 9.06e+01 3.14e+13 -1.0 1.34e-02 15.4 1.00e+00 1.00e+00h 1\n", + " 344 4.2565582e+00 3.86e+01 5.20e+12 -1.0 1.08e-02 14.9 1.00e+00 1.00e+00h 1\n", + " 345 4.2565594e+00 1.59e+01 1.19e+12 -1.0 9.08e-03 14.4 1.00e+00 1.00e+00h 1\n", + " 346 4.2565598e+00 1.02e+01 1.83e+12 -1.0 3.72e-03 14.8 1.00e+00 1.00e+00h 1\n", + " 347 4.2565611e+00 5.67e+00 9.33e+11 -1.0 6.08e-03 14.4 1.00e+00 1.00e+00h 1\n", + " 348 4.2565650e+00 9.05e+00 7.20e+11 -1.0 1.09e-02 13.9 1.00e+00 1.00e+00h 1\n", + " 349 4.2565767e+00 4.43e+00 1.76e+11 -1.0 5.64e-03 13.4 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 350 4.2566121e+00 6.95e+02 1.40e+14 -1.0 1.71e-01 12.9 4.49e-01 1.00e+00h 1\n", + " 351 4.2566138e+00 2.29e+02 4.39e+13 -1.0 1.90e-02 14.3 1.00e+00 1.00e+00h 1\n", + " 352 4.2566189e+00 7.68e+01 1.39e+13 -1.0 1.47e-02 13.8 1.00e+00 1.00e+00h 1\n", + " 353 4.2566198e+00 4.72e+01 7.48e+12 -1.0 1.20e-02 14.2 1.00e+00 5.00e-01h 2\n", + " 354 4.2566212e+00 4.36e+02 3.42e+13 -1.0 2.03e-01 13.7 6.12e-02 2.47e-01h 3\n", + " 355 4.2566215e+00 3.84e+02 3.03e+13 -1.0 1.64e-02 14.2 1.00e+00 1.25e-01h 4\n", + " 356 4.2566216e+00 3.80e+02 3.00e+13 -1.0 1.64e-02 13.7 1.00e+00 1.03e-02h 7\n", + " 357 4.2566216e+00 3.77e+02 2.98e+13 -1.0 1.58e-02 14.1 1.00e+00 7.81e-03h 8\n", + " 358 4.2566256e+00 2.06e+02 1.66e+13 -1.0 1.64e-02 13.6 1.00e+00 5.52e-01h 1\n", + " 359 4.2566256e+00 1.92e+02 1.62e+13 -1.0 1.30e-02 15.0 1.00e+00 7.00e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 360 4.2566256e+00 1.86e+02 4.72e+14 -1.0 4.13e-04 18.1 1.00e+00 9.51e-01h 1\n", + "WARNING: Problem in step computation; switching to emergency mode.\n", + " 361r 4.2566256e+00 1.86e+02 1.00e+03 2.3 0.00e+00 19.4 0.00e+00 0.00e+00R 1\n", + " 362r 3.9349188e+00 5.91e+01 8.11e+03 2.3 1.86e+05 - 2.04e-03 9.93e-04f 1\n", + " 363 3.8951463e+00 5.88e+01 8.90e+01 -1.0 3.18e+00 - 1.64e-01 5.29e-03h 1\n", + " 364 3.4987072e+00 5.41e+01 1.07e+03 -1.0 2.71e+00 - 2.12e-02 6.85e-02h 1\n", + " 365 3.0437944e+00 5.23e+01 1.88e+03 -1.0 2.61e+00 - 2.07e-01 3.03e-02f 1\n", + " 366 3.0437944e+00 5.23e+01 5.02e+13 -1.0 7.20e-07 19.8 9.90e-01 1.00e+00h 1\n", + " 367 3.0437944e+00 5.23e+01 1.00e+14 -1.0 4.32e-06 19.4 1.00e+00 1.00e+00h 1\n", + " 368 3.0437944e+00 5.22e+01 1.50e+14 -1.0 1.94e-05 18.9 1.00e+00 1.00e+00h 1\n", + " 369 3.0437944e+00 5.18e+01 1.99e+14 -1.0 7.70e-05 18.4 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 370 3.0437944e+00 5.03e+01 2.42e+14 -1.0 2.81e-04 17.9 1.00e+00 1.00e+00h 1\n", + " 371 3.0437944e+00 4.55e+01 2.65e+14 -1.0 9.30e-04 17.5 1.00e+00 1.00e+00h 1\n", + " 372 3.0437944e+00 3.43e+01 2.40e+14 -1.0 2.53e-03 17.0 1.00e+00 1.00e+00h 1\n", + " 373 3.0437944e+00 1.84e+01 1.63e+14 -1.0 4.85e-03 16.5 1.00e+00 1.00e+00h 1\n", + " 374 3.0437945e+00 1.06e+01 8.40e+13 -1.0 6.27e-03 16.0 1.00e+00 1.00e+00h 1\n", + " 375 3.0437945e+00 7.14e+00 3.57e+13 -1.0 6.12e-03 15.5 1.00e+00 1.00e+00h 1\n", + " 376 3.0437946e+00 4.22e+00 1.34e+13 -1.0 5.86e-03 15.1 1.00e+00 1.00e+00h 1\n", + " 377 3.0437950e+00 2.77e+00 4.68e+12 -1.0 5.97e-03 14.6 1.00e+00 1.00e+00H 1\n", + " 378 3.0437964e+00 2.27e+00 1.56e+12 -1.0 5.44e-03 14.1 1.00e+00 1.00e+00H 1\n", + " 379 3.0437970e+00 2.19e+00 2.00e+12 -1.0 5.20e-03 14.5 1.00e+00 1.00e+00H 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 380r 3.0437970e+00 2.19e+00 1.00e+03 0.3 0.00e+00 15.0 0.00e+00 4.77e-07R 22\n", + " 381r 3.0277488e+00 8.56e-01 9.97e+02 0.3 1.71e+03 - 3.09e-03 1.27e-03f 1\n", + " 382 3.0258367e+00 8.56e-01 5.02e+03 -1.0 5.75e+00 - 1.39e-01 8.93e-05h 1\n", + " 383 2.5119049e+00 8.14e-01 6.30e+03 -1.0 3.57e+00 - 2.58e-01 4.31e-02h 1\n", + " 384 1.4747635e+00 7.39e-01 6.84e+03 -1.0 4.25e+00 - 2.14e-01 6.44e-02h 1\n", + " 385 1.4747639e+00 7.23e-01 2.73e+10 -1.0 8.49e-05 14.5 9.90e-01 1.00e+00h 1\n", + " 386 1.4747663e+00 6.57e-01 6.18e+10 -1.0 5.43e-04 14.0 1.00e+00 1.00e+00h 1\n", + " 387 1.4747771e+00 1.21e+00 1.56e+11 -1.0 3.88e-03 13.5 1.00e+00 1.00e+00h 1\n", + " 388 1.4748205e+00 3.88e+00 2.77e+11 -1.0 3.52e-03 13.1 1.00e+00 1.00e+00h 1\n", + " 389 1.4749832e+00 8.53e-01 8.94e+10 -1.0 3.01e-03 12.6 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 390 1.4755681e+00 6.55e-01 2.47e+10 -1.0 3.09e-03 12.1 1.00e+00 1.00e+00h 1\n", + " 391 1.4771870e+00 2.02e+00 4.49e+10 -1.0 4.78e-02 11.6 3.56e-01 7.93e-01f 1\n", + " 392r 1.4771870e+00 2.02e+00 1.00e+03 0.3 0.00e+00 13.0 0.00e+00 2.89e-07R 19\n", + " 393r 1.4927428e+00 1.16e+00 1.00e+03 0.3 8.15e+02 - 1.89e-04 2.45e-03f 1\n", + " 394 1.5079406e+00 1.15e+00 7.69e+00 -1.0 1.26e+01 - 5.70e-03 2.00e-03h 1\n", + " 395 1.5090774e+00 1.15e+00 4.36e+03 -1.0 6.94e+00 - 2.68e-01 2.07e-03f 1\n", + " 396 1.6207949e+00 1.11e+00 3.47e+03 -1.0 6.11e+00 - 7.09e-03 6.84e-02h 1\n", + " 397 1.6088534e+00 1.06e+00 7.31e+03 -1.0 8.68e+00 - 3.84e-01 4.71e-02h 1\n", + " 398 1.5976852e+00 1.05e+00 7.89e+03 -1.0 1.81e+01 - 7.86e-02 7.58e-03f 5\n", + " 399 1.5816168e+00 1.04e+00 1.04e+04 -1.0 2.25e+01 - 3.16e-01 1.00e-02f 5\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 400 9.7271193e-01 1.09e+03 8.43e+05 -1.0 4.89e+01 - 6.26e-02 3.09e-01f 1\n", + " 401 9.7274301e-01 3.43e+02 3.39e+11 -1.0 1.38e-02 12.5 9.90e-01 1.00e+00h 1\n", + " 402 9.7276631e-01 1.10e+02 2.69e+11 -1.0 1.15e-02 12.9 1.00e+00 1.00e+00h 1\n", + " 403 9.7277941e-01 3.65e+01 1.30e+11 -1.0 8.56e-03 13.3 1.00e+00 1.00e+00h 1\n", + " 404 9.7278596e-01 1.37e+01 2.05e+11 -1.0 5.17e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 405 9.7279210e-01 1.10e+01 2.91e+11 -1.0 3.62e-02 13.3 8.35e-01 2.50e-01h 3\n", + " 406 9.7280177e-01 7.13e+00 4.14e+11 -1.0 8.97e-03 13.7 1.00e+00 1.00e+00h 1\n", + " 407 9.7280608e-01 7.09e+00 3.12e+11 -1.0 2.62e-03 14.1 1.00e+00 1.00e+00h 1\n", + " 408 9.7282317e-01 7.06e+00 4.84e+11 -1.0 1.76e-02 13.7 1.00e+00 1.00e+00H 1\n", + " 409 9.7283036e-01 7.06e+00 8.91e+11 -1.0 7.50e-03 14.1 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 410r 9.7283036e-01 7.06e+00 1.00e+03 0.8 0.00e+00 14.5 0.00e+00 4.77e-07R 22\n", + " 411r 9.6511860e-01 1.57e+01 9.98e+02 0.8 2.11e+03 - 1.74e-03 1.81e-03f 1\n", + " 412r 9.7680368e-01 1.55e+01 9.92e+02 0.8 1.15e+01 2.0 1.81e-01 9.01e-03f 1\n", + " 413r 9.8096764e-01 4.32e+01 3.11e+04 0.8 3.59e+01 1.5 1.42e-02 4.18e-02f 1\n", + " 414r 1.0096362e+00 3.54e+01 2.61e+04 0.8 3.52e-01 3.8 6.87e-01 1.96e-01f 1\n", + " 415r 1.0314423e+00 2.43e+01 2.92e+04 0.8 2.42e-01 4.2 5.46e-01 3.66e-01f 1\n", + " 416r 1.0609470e+00 1.55e+01 2.25e+04 0.8 2.87e-01 3.7 8.85e-01 3.39e-01f 1\n", + " 417r 1.0776100e+00 5.19e+00 2.64e+04 0.8 1.33e-01 4.1 1.00e+00 5.96e-01f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 418 1.0561879e+01 3.51e+00 9.35e+02 -1.0 5.26e+00 - 3.40e-01 2.00e-01H 1\n", + " 419 1.0561855e+01 3.18e+00 1.36e+11 -1.0 1.69e-03 14.0 9.90e-01 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 420 1.0561712e+01 2.41e+00 1.72e+11 -1.0 4.95e-03 13.6 1.00e+00 1.00e+00h 1\n", + " 421 1.0561631e+01 2.35e+00 2.39e+11 -1.0 2.46e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 422 1.0561308e+01 1.83e+01 8.93e+11 -1.0 1.81e-02 13.5 1.00e+00 1.00e+00h 1\n", + " 423 1.0561156e+01 1.62e+01 7.77e+11 -1.0 6.20e-02 13.0 4.92e-01 1.25e-01h 4\n", + " 424 1.0560225e+01 1.28e+01 5.94e+11 -1.0 8.85e-03 12.6 1.00e+00 2.50e-01h 3\n", + " 425 1.0558761e+01 4.37e+00 1.46e+11 -1.0 7.64e-03 13.0 1.00e+00 1.00e+00h 1\n", + " 426 1.0553562e+01 2.19e+00 2.93e+10 -1.0 4.53e-03 12.5 1.00e+00 1.00e+00h 1\n", + " 427 1.0535651e+01 2.19e+00 1.45e+10 -1.0 1.60e-02 12.0 1.00e+00 1.00e+00h 1\n", + " 428 1.0472177e+01 2.18e+00 7.59e+10 -1.0 3.77e-02 11.5 1.00e+00 1.00e+00H 1\n", + " 429 1.0446402e+01 2.17e+00 2.07e+10 -1.0 6.33e-03 12.0 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 430 1.0364240e+01 2.15e+00 7.52e+09 -1.0 2.34e-02 11.5 1.00e+00 1.00e+00h 1\n", + " 431 1.0122427e+01 4.72e+00 5.51e+12 -1.0 2.70e-01 11.0 6.03e-01 1.00e+00h 1\n", + " 432 1.0122405e+01 1.67e+01 6.31e+12 -1.0 6.84e-03 15.1 1.00e+00 1.00e+00h 1\n", + " 433 1.0122333e+01 1.39e+01 2.65e+11 -1.0 1.18e-03 14.6 1.00e+00 1.00e+00h 1\n", + " 434 1.0122101e+01 5.08e+00 3.02e+11 -1.0 5.35e-03 14.1 1.00e+00 1.00e+00h 1\n", + " 435 1.0121361e+01 1.38e+00 1.69e+11 -1.0 4.04e-03 13.6 1.00e+00 1.00e+00h 1\n", + " 436 1.0118873e+01 1.88e+00 5.56e+10 -1.0 1.02e-02 13.1 1.00e+00 1.00e+00H 1\n", + " 437 1.0111036e+01 1.83e+00 2.15e+10 -1.0 2.57e-03 12.7 1.00e+00 1.00e+00h 1\n", + " 438 1.0107956e+01 1.69e+00 3.05e+10 -1.0 1.98e-03 13.1 1.00e+00 1.00e+00h 1\n", + " 439 1.0106746e+01 1.50e+00 7.35e+10 -1.0 1.94e-03 13.5 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 440 1.0106627e+01 1.10e+00 2.93e+11 -1.0 3.27e-01 13.0 7.37e-02 3.12e-02h 6\n", + " 441 1.0105076e+01 1.51e+00 4.08e+10 -1.0 1.06e-02 13.5 1.00e+00 1.00e+00H 1\n", + " 442 1.0104471e+01 1.48e+00 5.87e+10 -1.0 1.84e-02 13.0 1.00e+00 1.25e-01h 4\n", + " 443 1.0102578e+01 1.27e+00 5.40e+10 -1.0 1.18e-03 13.4 1.00e+00 1.00e+00H 1\n", + " 444 1.0101107e+01 6.31e-01 1.49e+11 -1.0 2.69e-02 12.9 9.35e-01 2.50e-01h 3\n", + " 445 1.0098723e+01 5.21e-01 3.72e+10 -1.0 7.79e-03 13.4 1.00e+00 1.00e+00H 1\n", + " 446 1.0091357e+01 2.64e+00 8.26e+10 -1.0 6.05e-03 12.9 1.00e+00 1.00e+00h 1\n", + " 447 1.0068769e+01 4.76e-01 3.14e+10 -1.0 6.47e-03 12.4 1.00e+00 1.00e+00h 1\n", + " 448 1.0000939e+01 1.49e+00 1.96e+10 -1.0 1.86e-02 11.9 1.00e+00 1.00e+00h 1\n", + " 449 9.9754339e+00 1.88e+00 3.44e+10 -1.0 1.31e-02 12.4 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 450 9.8993251e+00 1.06e+01 9.28e+10 -1.0 3.93e-02 11.9 1.00e+00 1.00e+00h 1\n", + " 451 9.8957354e+00 4.47e+00 6.81e+10 -1.0 9.94e-03 13.2 1.00e+00 1.00e+00h 1\n", + " 452 9.8847293e+00 2.59e+00 8.43e+10 -1.0 1.57e-02 12.7 1.00e+00 1.00e+00h 1\n", + " 453 9.8805122e+00 3.11e+00 2.34e+11 -1.0 1.06e-02 13.2 1.00e+00 1.00e+00h 1\n", + " 454 9.8788930e+00 2.81e+00 1.11e+11 -1.0 2.76e-03 13.6 1.00e+00 1.00e+00h 1\n", + " 455 9.8782711e+00 1.89e+00 1.50e+11 -1.0 1.45e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 456 9.8763615e+00 1.32e+00 4.49e+11 -1.0 8.95e-03 13.5 1.00e+00 1.00e+00h 1\n", + " 457 9.8756289e+00 7.36e+00 9.20e+11 -1.0 9.94e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 458 9.8733825e+00 6.21e+00 5.44e+10 -1.0 1.43e-03 13.5 1.00e+00 1.00e+00h 1\n", + " 459 9.8665113e+00 1.94e+00 3.32e+10 -1.0 5.52e-03 13.0 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 460 9.8651976e+00 1.34e+00 3.35e+10 -1.0 2.09e-03 13.4 1.00e+00 5.00e-01h 2\n", + " 461 9.8572543e+00 1.33e+00 3.08e+10 -1.0 7.53e-03 13.0 1.00e+00 1.00e+00h 1\n", + " 462 9.8542214e+00 1.10e+00 4.16e+10 -1.0 1.46e-03 13.4 1.00e+00 1.00e+00h 1\n", + " 463 9.8449702e+00 5.81e+00 2.67e+11 -1.0 1.39e-02 12.9 1.00e+00 1.00e+00h 1\n", + " 464 9.8414430e+00 2.57e+00 4.41e+10 -1.0 4.48e-03 13.3 1.00e+00 1.00e+00h 1\n", + " 465 9.8400956e+00 1.35e+00 1.31e+11 -1.0 2.45e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 466 9.8359814e+00 8.87e-01 7.70e+10 -1.0 6.30e-03 13.3 1.00e+00 1.00e+00h 1\n", + " 467 9.8343817e+00 7.56e-01 5.20e+10 -1.0 8.97e-04 13.7 1.00e+00 1.00e+00H 1\n", + " 468 9.8337710e+00 6.56e-01 6.10e+10 -1.0 4.44e-04 14.1 1.00e+00 1.00e+00h 1\n", + " 469 9.8319072e+00 5.06e-01 1.15e+11 -1.0 2.01e-03 13.7 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 470 9.8311963e+00 6.64e-01 1.48e+11 -1.0 1.19e-03 14.1 1.00e+00 1.00e+00h 1\n", + " 471 9.8290281e+00 5.52e+00 9.48e+10 -1.0 9.44e-03 13.6 1.00e+00 1.00e+00h 1\n", + " 472 9.8282017e+00 3.32e+00 2.23e+11 -1.0 2.91e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 473 9.8256833e+00 1.12e+00 2.05e+11 -1.0 4.67e-03 13.6 1.00e+00 1.00e+00h 1\n", + " 474 9.8251865e+00 1.05e+00 2.15e+11 -1.0 5.90e-02 13.1 1.00e+00 6.48e-02h 4\n", + " 475 9.8244667e+00 9.92e-01 2.21e+11 -1.0 7.66e-03 13.5 1.00e+00 2.50e-01h 3\n", + " 476 9.8244328e+00 9.87e-01 2.20e+11 -1.0 2.48e-03 13.9 1.00e+00 3.12e-02h 6\n", + " 477 9.8211292e+00 9.42e-01 1.07e+11 -1.0 6.63e-03 13.5 1.00e+00 1.00e+00H 1\n", + " 478 9.8198722e+00 1.03e+00 1.14e+11 -1.0 1.76e-03 13.9 1.00e+00 1.00e+00h 1\n", + " 479 9.8193936e+00 1.04e+00 9.52e+10 -1.0 4.74e-04 14.3 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 480 9.8179364e+00 9.79e-01 7.03e+10 -1.0 1.16e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 481 9.8173819e+00 9.21e-01 7.14e+10 -1.0 3.92e-04 14.3 1.00e+00 1.00e+00h 1\n", + " 482 9.8156946e+00 6.72e-01 1.29e+11 -1.0 2.04e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 483 9.8150529e+00 7.09e-01 1.38e+11 -1.0 8.95e-04 14.2 1.00e+00 1.00e+00h 1\n", + " 484 9.8131013e+00 1.18e+00 2.06e+11 -1.0 3.48e-03 13.7 1.00e+00 1.00e+00h 1\n", + " 485 9.8123489e+00 1.19e+00 9.48e+10 -1.0 1.42e-03 14.2 1.00e+00 1.00e+00H 1\n", + " 486 9.8100626e+00 1.39e+00 1.42e+11 -1.0 2.54e-03 13.7 1.00e+00 1.00e+00h 1\n", + " 487 9.8091941e+00 1.16e+00 1.37e+11 -1.0 1.09e-03 14.1 1.00e+00 1.00e+00h 1\n", + " 488 9.8065210e+00 1.98e+00 1.54e+11 -1.0 5.66e-03 13.6 1.00e+00 1.00e+00H 1\n", + " 489 9.8060136e+00 1.99e+00 2.15e+11 -1.0 2.23e-03 14.0 1.00e+00 5.00e-01h 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 490 9.8059179e+00 1.99e+00 2.28e+11 -1.0 8.83e-04 14.5 1.00e+00 2.50e-01h 3\n", + " 491 9.8047210e+00 1.99e+00 8.31e+10 -1.0 5.56e-03 14.0 1.00e+00 1.00e+00H 1\n", + " 492 9.8042668e+00 1.99e+00 7.77e+10 -1.0 2.93e-04 14.4 1.00e+00 1.00e+00h 1\n", + " 493 9.8028882e+00 1.98e+00 6.99e+10 -1.0 7.89e-04 13.9 1.00e+00 1.00e+00h 1\n", + " 494 9.8023652e+00 1.97e+00 6.24e+10 -1.0 2.64e-04 14.4 1.00e+00 1.00e+00h 1\n", + " 495 9.8007785e+00 1.94e+00 1.06e+11 -1.0 1.45e-03 13.9 1.00e+00 1.00e+00h 1\n", + " 496 9.8004778e+00 3.88e+00 2.65e+12 -1.0 3.76e-01 13.4 3.26e-02 6.25e-02h 5\n", + " 497 9.8002467e+00 4.78e+00 4.29e+11 -1.0 5.59e-03 14.7 1.00e+00 1.00e+00H 1\n", + " 498 9.7995458e+00 4.25e+00 9.97e+10 -1.0 7.11e-04 14.3 1.00e+00 1.00e+00h 1\n", + " 499 9.7974212e+00 1.87e+00 2.16e+11 -1.0 3.91e-03 13.8 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 500 9.7966162e+00 1.06e+00 2.86e+11 -1.0 1.78e-03 14.2 1.00e+00 1.00e+00h 1\n", + " 501 9.7941773e+00 4.31e-01 1.96e+11 -1.0 4.03e-03 13.7 1.00e+00 1.00e+00h 1\n", + " 502 9.7932536e+00 5.09e-01 1.52e+11 -1.0 1.01e-03 14.2 1.00e+00 1.00e+00s 22\n", + " 503 9.7904560e+00 8.67e-01 9.31e+10 -1.0 1.70e-03 13.7 1.00e+00 1.00e+00s 22\n", + " 504r 9.7904560e+00 8.67e-01 9.99e+02 -0.1 0.00e+00 13.2 0.00e+00 0.00e+00R 1\n", + " 505r 9.7774197e+00 3.96e-01 9.90e+02 -0.1 8.67e+02 - 8.92e-03 9.91e-04f 1\n", + " 506 1.6692440e+01 8.93e+00 1.88e+05 -1.0 3.77e+02 - 8.75e-03 1.90e-02f 1\n", + " 507 1.6797014e+01 8.92e+00 7.04e+09 -1.0 1.29e-03 12.7 1.00e+00 1.00e+00h 1\n", + " 508 1.7568042e+01 8.85e+00 1.40e+10 -1.0 7.70e-03 12.3 1.00e+00 1.00e+00h 1\n", + " 509 1.8942073e+01 8.78e+00 1.55e+10 -1.0 3.38e-02 11.8 1.00e+00 2.40e-01h 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 510 2.0312694e+01 8.74e+00 1.57e+10 -1.0 1.04e-01 11.3 1.00e+00 3.89e-02h 2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 511 2.1682090e+01 8.73e+00 1.61e+10 -1.0 4.09e-02 11.7 1.00e+00 5.12e-02h 2\n", + " 512 2.3052027e+01 8.71e+00 1.61e+10 -1.0 1.18e-01 11.3 1.00e+00 1.27e-02h 2\n", + " 513 2.3318159e+01 8.70e+00 1.63e+10 -1.0 4.65e-02 11.7 1.00e+00 3.07e-02h 4\n", + " 514 3.3214478e+01 7.67e+00 2.05e+10 -1.0 1.33e-01 11.2 1.00e+00 9.12e-01h 1\n", + " 515 3.3639381e+01 6.17e+00 2.01e+10 -1.0 3.78e-01 10.7 1.00e+00 5.00e-01h 2\n", + " 516 3.4797540e+01 6.01e+00 2.39e+10 -1.0 2.11e-02 12.1 1.00e+00 1.00e+00h 1\n", + " 517 3.4854742e+01 5.49e+00 2.65e+10 -1.0 7.04e-02 11.6 1.00e+00 1.00e+00h 1\n", + " 518 3.5208711e+01 5.28e+00 2.94e+10 -1.0 2.92e-02 12.0 1.00e+00 1.00e+00h 1\n", + " 519 3.5462454e+01 5.20e+00 3.24e+10 -1.0 1.21e-02 12.4 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 520 3.5698497e+01 4.93e+00 3.47e+10 -1.0 3.88e-02 12.0 1.00e+00 1.00e+00h 1\n", + " 521 3.5906894e+01 4.14e+00 3.46e+10 -1.0 1.17e-01 11.5 1.00e+00 1.00e+00h 1\n", + " 522 3.6325822e+01 2.31e+00 3.00e+10 -1.0 2.96e-01 11.0 1.00e+00 1.00e+00H 1\n", + " 523 3.6579620e+01 1.74e+00 2.90e+10 -1.0 1.07e-01 11.4 1.00e+00 1.00e+00H 1\n", + " 524 3.6652387e+01 1.12e+00 2.59e+10 -1.0 2.58e-01 10.9 1.00e+00 5.00e-01h 2\n", + " 525 3.6658329e+01 1.12e+00 2.57e+10 -1.0 2.17e-01 11.4 3.91e-01 6.25e-02h 5\n", + " 526 3.6852320e+01 1.30e+00 1.96e+10 -1.0 2.49e-01 10.9 1.00e+00 1.00e+00h 1\n", + " 527r 3.6852320e+01 1.30e+00 1.00e+03 0.1 0.00e+00 11.3 0.00e+00 3.81e-07R 17\n", + " 528r 2.7564694e+01 8.40e-01 9.94e+02 0.1 1.30e+03 - 5.61e-03 9.91e-04f 1\n", + " 529 2.7554735e+01 8.38e-01 1.55e+06 -1.0 1.98e+02 - 1.43e-01 2.73e-03h 7\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 530 3.9554991e+01 6.64e-01 6.17e+08 -1.0 1.03e-02 10.8 9.90e-01 2.31e-01h 1\n", + " 531 3.8175226e+01 7.24e-01 3.40e+09 -1.0 2.53e-02 10.4 1.00e+00 1.00e+00h 1\n", + " 532 3.8060356e+01 1.91e+00 3.19e+09 -1.0 5.41e-01 9.9 2.48e-01 6.25e-02h 5\n", + " 533 3.7293394e+01 1.93e+00 5.07e+09 -1.0 7.97e-02 9.4 1.00e+00 5.00e-01h 2\n", + " 534 3.6553464e+01 2.19e+00 1.75e+10 -1.0 8.65e-02 8.9 1.00e+00 5.00e-01h 2\n", + " 535 3.5305824e+01 1.09e+00 4.95e+09 -1.0 1.77e-01 8.5 1.00e+00 1.00e+00f 1\n", + " 536 3.4113075e+01 1.66e+00 8.19e+08 -1.0 6.02e-02 8.9 1.00e+00 1.00e+00h 1\n", + " 537 3.3076807e+01 1.41e-01 6.39e+08 -1.0 6.28e-03 11.1 1.00e+00 1.00e+00h 1\n", + " 538 3.2246787e+01 1.33e-01 3.43e+08 -1.0 6.78e-03 10.6 1.00e+00 1.00e+00h 1\n", + " 539 3.1645570e+01 3.56e-01 1.54e+08 -1.0 1.06e-02 10.2 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 540 3.1259637e+01 3.16e+00 1.18e+08 -1.0 2.45e-02 9.7 1.00e+00 1.00e+00h 1\n", + " 541 3.1002208e+01 7.87e-01 1.21e+08 -1.0 9.41e-03 10.1 1.00e+00 1.00e+00h 1\n", + " 542 3.0882125e+01 1.96e-01 1.04e+08 -1.0 2.39e-02 9.6 1.00e+00 1.00e+00h 1\n", + " 543 3.1150595e+01 1.61e-01 1.36e+08 -1.0 5.25e-02 9.2 1.00e+00 1.00e+00h 1\n", + " 544 3.2099320e+01 8.83e-02 6.78e+07 -1.0 1.10e-01 8.7 1.00e+00 1.00e+00H 1\n", + " 545 3.0983340e+01 5.64e-01 1.80e+08 -1.0 7.57e-02 8.2 1.00e+00 1.00e+00H 1\n", + " 546 2.9309727e+01 1.20e+00 2.65e+07 -1.0 9.07e-02 7.7 1.00e+00 1.00e+00H 1\n", + " 547 2.7419300e+01 7.17e-01 3.08e+07 -1.0 6.43e-02 8.2 1.00e+00 1.00e+00h 1\n", + " 548 2.5307992e+01 3.39e-01 3.12e+07 -1.0 3.69e-02 8.6 5.07e-01 1.00e+00f 1\n", + " 549 2.3160196e+01 1.12e-01 2.02e+07 -1.0 8.89e-02 8.1 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 550 2.3161643e+01 1.63e-01 1.89e+07 -1.0 4.74e-01 7.6 5.97e-01 3.12e-02h 6\n", + " 551 3.2543880e+01 2.50e-01 1.84e+07 -1.0 1.14e-01 8.0 1.00e+00 4.08e-01H 1\n", + " 552 3.1148611e+01 5.45e-01 1.06e+07 -1.0 3.55e-02 8.5 1.00e+00 1.00e+00h 1\n", + " 553 2.9881629e+01 1.16e+00 4.01e+07 -1.0 1.02e-01 8.0 7.62e-01 1.00e+00h 1\n", + " 554 2.9680725e+01 1.01e+00 1.81e+07 -1.0 3.27e-02 9.3 1.00e+00 1.25e-01h 4\n", + " 555 2.8514079e+01 1.08e-01 1.18e+07 -1.0 1.66e-02 8.9 1.00e+00 1.00e+00h 1\n", + " 556 2.7466638e+01 7.54e-01 1.32e+07 -1.0 5.56e-02 8.4 1.00e+00 1.00e+00h 1\n", + " 557 2.7148130e+01 9.75e-01 1.39e+07 -1.0 2.06e-01 7.9 1.00e+00 2.50e-01h 3\n", + " 558 2.7092834e+01 1.21e+00 1.47e+07 -1.0 1.41e+00 7.4 3.61e-01 3.12e-02h 6\n", + " 559 2.6437507e+01 1.34e+00 1.61e+07 -1.0 2.51e-01 7.8 1.00e+00 5.00e-01h 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 560 2.5242660e+01 9.89e-01 1.93e+07 -1.0 7.77e-02 8.3 1.00e+00 1.00e+00h 1\n", + " 561 2.3518027e+01 1.59e-01 2.04e+07 -1.0 3.44e-03 9.6 1.00e+00 1.00e+00f 1\n", + " 562 2.1093343e+01 6.66e-02 1.25e+07 -1.0 1.18e-03 10.0 4.10e-01 1.00e+00f 1\n", + " 563 1.9767301e+01 6.67e-02 3.95e+07 -1.0 1.06e-03 10.5 1.00e+00 1.00e+00h 1\n", + " 564 1.9312442e+01 6.67e-02 5.04e+07 -1.0 6.65e-04 10.9 1.00e+00 1.00e+00h 1\n", + " 565 1.8176376e+01 2.21e-01 3.25e+08 -1.0 4.65e-03 10.4 1.00e+00 1.00e+00h 1\n", + " 566 1.6312916e+01 6.68e-02 1.38e+08 -1.0 2.11e-03 9.9 7.05e-01 1.00e+00f 1\n", + " 567 1.4104856e+01 6.63e-02 2.03e+07 -1.0 7.27e-03 9.4 1.00e+00 1.00e+00f 1\n", + " 568 1.3625842e+01 6.59e-02 2.29e+07 -1.0 3.07e-03 9.9 1.00e+00 1.00e+00h 1\n", + " 569 1.3462819e+01 6.56e-02 2.55e+07 -1.0 1.28e-03 10.3 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 570 1.3025721e+01 6.49e-02 2.80e+07 -1.0 4.22e-03 9.8 1.00e+00 1.00e+00h 1\n", + " 571 1.2879356e+01 6.46e-02 3.05e+07 -1.0 1.72e-03 10.2 1.00e+00 1.00e+00h 1\n", + " 572 1.2491296e+01 1.55e-01 8.48e+07 -1.0 5.57e-03 9.8 1.00e+00 1.00e+00h 1\n", + " 573 1.1668757e+01 6.06e-02 3.45e+07 -1.0 1.76e-02 9.3 1.00e+00 1.00e+00h 1\n", + " 574 1.1638778e+01 6.04e-02 3.64e+07 -1.0 8.68e-04 10.6 1.00e+00 1.00e+00h 1\n", + " 575 1.1555923e+01 1.43e-01 4.91e+07 -1.0 3.13e-03 10.1 1.00e+00 1.00e+00h 1\n", + " 576 1.1341381e+01 3.54e-01 4.02e+07 -1.0 8.63e-03 9.7 1.00e+00 1.00e+00h 1\n", + " 577 1.0862095e+01 2.31e-01 4.09e+07 -1.0 2.64e-02 9.2 1.00e+00 1.00e+00h 1\n", + " 578 1.0729448e+01 5.12e-02 4.19e+07 -1.0 1.01e-02 9.6 1.00e+00 1.00e+00h 1\n", + " 579 1.0441761e+01 9.84e-02 4.17e+07 -1.0 3.02e-02 9.1 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 580 1.0432359e+01 4.49e-02 4.22e+07 -1.0 1.43e-03 10.5 1.00e+00 1.00e+00h 1\n", + " 581 1.0427688e+01 4.47e-02 4.24e+07 -1.0 4.38e-03 10.0 1.00e+00 2.50e-01h 3\n", + " 582 1.0421572e+01 4.42e-02 4.32e+07 -1.0 1.65e-03 10.4 1.00e+00 1.00e+00h 1\n", + " 583 1.0413770e+01 4.29e-02 4.43e+07 -1.0 5.08e-03 9.9 1.00e+00 1.00e+00h 1\n", + " 584 1.0420959e+01 4.32e-02 4.52e+07 -1.0 1.55e-02 9.5 1.00e+00 1.00e+00h 1\n", + " 585 1.0434989e+01 6.82e-02 4.60e+07 -1.0 5.94e-03 9.9 1.00e+00 1.00e+00h 1\n", + " 586 1.0436141e+01 9.19e-02 4.60e+07 -1.0 8.65e-02 9.4 4.36e-01 1.56e-02h 7\n", + " 587 1.0488880e+01 7.36e-02 4.55e+07 -1.0 5.08e-02 8.9 1.00e+00 2.50e-01h 3\n", + " 588 1.0534711e+01 4.86e-02 4.52e+07 -1.0 1.96e-02 9.4 1.00e+00 5.00e-01h 2\n", + " 589r 1.0534711e+01 4.86e-02 9.98e+02 -1.0 0.00e+00 8.9 0.00e+00 4.77e-07R 22\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 590r 1.0527771e+01 5.54e-01 9.86e+02 -1.0 4.02e+01 - 3.53e-02 2.04e-03f 1\n", + " 591r 1.0408832e+01 7.89e+00 9.39e+02 -1.0 3.44e+01 - 8.09e-02 3.17e-02f 1\n", + " 592r 1.0315667e+01 5.00e+00 8.70e+02 -1.0 7.12e+00 - 2.63e-01 3.78e-02f 1\n", + " 593r 9.7067023e+00 3.60e+00 6.95e+02 -1.0 4.72e+00 - 4.42e-01 2.04e-01f 1\n", + " 594r 8.0198334e+00 3.58e+01 2.60e+02 -1.0 4.17e+00 - 9.96e-01 6.35e-01f 1\n", + " 595r 2.7088021e-01 8.26e+00 1.17e+02 -1.0 9.25e-01 0.0 9.34e-01 1.00e+00f 1\n", + " 596r 7.8730133e-01 3.55e+00 1.59e+02 -1.0 3.24e-01 0.4 1.00e+00 5.58e-01h 1\n", + " 597r 1.3027533e+00 4.26e-01 1.01e+02 -1.0 2.77e-01 -0.1 1.00e+00 1.00e+00f 1\n", + " 598r 1.3075089e+00 3.85e-01 1.77e+02 -1.0 2.93e-01 1.3 1.10e-01 9.68e-02h 1\n", + " 599r 1.6396450e+00 4.36e+00 1.29e+02 -1.0 5.64e+00 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 600r 1.8915448e+00 7.02e-01 6.68e+00 -1.0 9.56e-01 - 1.00e+00 1.00e+00h 1\n", + " 601r 1.8839050e+00 2.05e-02 7.66e-01 -1.0 2.57e-01 - 1.00e+00 1.00e+00h 1\n", + " 602 2.1107152e+00 1.25e+01 2.95e+02 -1.0 2.74e+01 - 2.81e-01 2.23e-01f 1\n", + " 603 2.1306475e+00 1.18e+01 4.94e+08 -1.0 2.06e-01 8.4 1.00e+00 1.00e+00h 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 604 2.1464590e+00 3.55e+00 6.89e+07 -1.0 4.08e-01 7.9 3.71e-01 9.62e-01h 1\n", + " 605 2.1478087e+00 7.82e-01 3.26e+07 -1.0 9.89e-02 7.5 1.00e+00 1.00e+00f 1\n", + " 606 2.1439203e+00 8.07e-02 5.73e+06 -1.0 1.58e-01 7.0 1.00e+00 1.00e+00h 1\n", + " 607 2.1436689e+00 4.29e-02 7.83e+06 -1.0 1.47e-02 8.3 1.00e+00 5.00e-01h 2\n", + " 608 2.1434120e+00 4.17e-02 7.77e+06 -1.0 6.01e-03 8.7 1.00e+00 1.00e+00h 1\n", + " 609 2.1432683e+00 4.92e-03 4.00e+06 -1.0 2.79e-03 9.2 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 610 2.1427446e+00 5.27e-03 3.47e+06 -1.0 7.26e-03 8.7 1.00e+00 1.00e+00h 1\n", + " 611 2.1425254e+00 6.45e-03 2.57e+06 -1.0 2.02e-03 9.1 1.00e+00 1.00e+00h 1\n", + " 612 2.1419059e+00 7.88e-03 1.25e+06 -1.0 2.76e-03 8.6 1.00e+00 1.00e+00h 1\n", + " 613 2.1407263e+00 7.18e-03 1.10e+06 -1.0 2.92e-03 8.2 1.00e+00 1.00e+00f 1\n", + " 614 2.1400822e+00 3.80e-03 2.88e+05 -1.0 6.09e-03 7.7 1.00e+00 1.00e+00f 1\n", + " 615 2.1412814e+00 1.54e-02 4.71e+05 -1.0 1.66e-02 7.2 1.00e+00 1.00e+00f 1\n", + " 616 2.1412866e+00 1.82e-02 4.68e+05 -1.0 7.05e-01 6.7 3.93e-01 7.81e-03h 8\n", + " 617 2.1420208e+00 2.59e-01 9.36e+05 -1.0 2.52e-02 7.1 1.00e+00 1.00e+00h 1\n", + " 618 2.1420123e+00 3.01e-02 7.38e+05 -1.0 1.12e-02 7.6 1.00e+00 1.00e+00h 1\n", + " 619 2.1417665e+00 1.07e-01 4.50e+05 -1.0 2.25e-02 7.1 1.00e+00 1.00e+00H 1\n" + ] + } + ], + "source": [ + "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", + " measurement, t_measure, model_integrate,\n", + " prior_FIM=prior_pass, discretize_model=None, args=args_,\n", + " measurement_extra_index = measurement_extra)\n", + "\n", + "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, \n", + " scale_nominal_param_value=True, objective_option='det', \n", + " L_initial=None)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "de2995d9", + "metadata": {}, + "outputs": [], + "source": [ + "print('======Result summary======')\n", + "print('This optimization is solved with status:', optimize_result.status)\n", + "print('It gives solution:', optimize_result.solution)\n", + "print('The log10(OF) optimized is:', optimize_result.obj_value)\n", + "print('The result FIM is:', optimize_result.FIM)\n", + "\n", + "t_list = []\n", + "for t in optimize_result.model.t:\n", + " t_list.append(t)\n", + "\n", + "T_list = []\n", + "for i in t_list:\n", + " T_list.append(value(optimize_result.model.T[i]))\n", + "\n", + "si=16\n", + "plt.rc('axes', titlesize=si)\n", + "plt.rc('axes', labelsize=si)\n", + "plt.rc('xtick', labelsize=si)\n", + "plt.rc('ytick', labelsize=si)\n", + "plt.rc('legend', fontsize=12)\n", + " \n", + "plt.plot(t_list, T_list, 'b', linewidth=2)\n", + "#plt.scatter(t_list, T_list, 'b')\n", + "plt.ylabel('T [$K$]')\n", + "plt.xlabel('Time [$h$]')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "1f38a72c", "metadata": {}, "source": [ "## Heatmap" @@ -420,32 +1551,37 @@ { "cell_type": "code", "execution_count": null, - "id": "2d242d60", + "id": "a72673ab", "metadata": {}, "outputs": [], "source": [ - "design_ranges = [list(np.linspace(293,333,5)), list(np.linspace(0.1,0.3,6))]\n", + "#design_ranges = [list(np.linspace(293,333,5)), list(np.linspace(0.1,0.3,6))]\n", + "design_ranges = [[293, 303, 313, 323, 333], [0.1, 0.14, 0.18, 0.22, 0.26, 0.3]]\n", "\n", "dv_apply_name = ['temp_feed','yfeed']\n", "\n", "dv_apply_time = [[0],[0]]\n", "\n", "# Define experiments\n", - "exp1 = generate_exp(313.15, 293.15, 0.15)\n", + "exp1 = generate_exp(313.15, 303.15, 0.15)\n", " \n", "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", "sensi_opt = 'sequential_finite'\n", "#sensi_opt = 'sequential_sipopt'\n", "#sensi_opt = 'sequential_kaug'\n", - "#sensi_opt = 'direct_kaug'" + "#sensi_opt = 'direct_kaug'\n", + "\n", + "print(design_ranges)" ] }, { "cell_type": "code", "execution_count": null, - "id": "30196e80", - "metadata": {}, + "id": "964f1494", + "metadata": { + "scrolled": true + }, "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", @@ -456,7 +1592,7 @@ "all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", " mode=sensi_opt, tee_option=False,\n", " scale_nominal_param_value=True, \n", - " store_name='.bath293_heatmap_5e6/20210919_heatmap'\n", + " store_name='20210919_heatmap', read_name='20210919_heatmap'\n", " )\n", "\n" ] @@ -464,20 +1600,50 @@ { "cell_type": "code", "execution_count": null, - "id": "03809322", + "id": "4e4f2aac", "metadata": {}, "outputs": [], "source": [ "test = all_fim.extract_criteria()\n", "\n", "fixed = {}\n", - "all_fim.figure_drawing(fixed, ['temp_feed','yfeed'], 'Fixed bed','$y$', 'T bath [K]' )" + "all_fim.figure_drawing(fixed, ['temp_feed','yfeed'], 'Fixed bed','$feed T [K]$', 'y' )" ] }, { "cell_type": "code", "execution_count": null, - "id": "0d5cf7a1", + "id": "2103fdf1", + "metadata": {}, + "outputs": [], + "source": [ + "na = ['temp_feed', 'yfeed']\n", + "dd = ['temp_feed', 'yfeed']\n", + "a = [[293.0, 303.0, 313.0, 323.0, 333.0], [0.1, 0.14, 0.18, 0.22, 0.26, 0.3]]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d92e8c62", + "metadata": {}, + "outputs": [], + "source": [ + "print(a[na.index('temp_feed')])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44917d84", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "19dbe432", "metadata": {}, "outputs": [], "source": [] diff --git a/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py b/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py index 2a55d4a7508..ce8589b7d26 100644 --- a/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py +++ b/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py @@ -271,7 +271,8 @@ def create_model(scena, temp_feed=313.15, temp_bath=313.15, y=0.15, doe_model=Tr m.temp_feed = Var(initialize=temp_feed, bounds=(100, 600)) m.temp_bath = Var(initialize=temp_bath, bounds=(274, 600)) m.yfeed = Var(initialize=y, bounds=(0,1), within=NonNegativeReals) - + + m.temp_bath.fix() # Film mass transfer coefficient, m/s m.kf = Param(m.COMPS, initialize=k_f) diff --git a/pyomo/contrib/doe/optimize.ipynb b/pyomo/contrib/doe/optimize.ipynb deleted file mode 100644 index c1be650083f..00000000000 --- a/pyomo/contrib/doe/optimize.ipynb +++ /dev/null @@ -1,521 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "2630d624", - "metadata": {}, - "outputs": [], - "source": [ - "import pyomo.environ as pyo\n", - "import numpy as np\n", - "from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp, get_dfds_dcds\n", - "#from idaes.apps.uncertainty_propagation.uncertainties import propagate_uncertainty\n", - "#from idaes.apps.uncertainty_propagation.sens import get_dsdp" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "a6969107", - "metadata": {}, - "outputs": [], - "source": [ - "def create_model():\n", - " ### Create optimization model\n", - " m = pyo.ConcreteModel()\n", - " m.dual = pyo.Suffix(direction=pyo.Suffix.IMPORT)\n", - "\n", - " # Define variables\n", - " m.x1 = pyo.Var(bounds=(0,10))\n", - " m.x2 = pyo.Var(bounds=(0,10))\n", - " m.x3 = pyo.Var(bounds=(0,10))\n", - "\n", - " # Define parameters\n", - " #m.p1 = pyo.Param(initialize=10, mutable=True)\n", - " #m.p2 = pyo.Param(initialize=5, mutable=True)\n", - " # Important Tip: The uncertain parameters need to be defined at Pyomo variables\n", - " m.p1 = pyo.Var(initialize=10)\n", - " m.p2 = pyo.Var(initialize=5)\n", - " # Important Tip: We fix these to first solve with Ipopt. We unfix below\n", - " # before using the uncertainty propagation toolbox.\n", - " m.p1.setlb(10)\n", - " m.p1.setub(10)\n", - " m.p2.setlb(5)\n", - " m.p2.setub(5)\n", - "\n", - " # Define constraints\n", - " m.con1 = pyo.Constraint(expr=m.x1 + m.x2-m.p1==0)\n", - " m.con2 = pyo.Constraint(expr=m.x2 + m.x3-m.p2==0)\n", - "\n", - " # Define objective\n", - " m.obj = pyo.Objective(expr=m.p1*m.x1+ m.p2*(m.x2**2) + m.p1*m.p2, sense=pyo.minimize)\n", - " \n", - " return m \n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "7ecc2853", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.13.3: \n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.3, running with linear solver ma27.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 4\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 1\n", - "\n", - "Total number of variables............................: 3\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 3\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 2\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 5.0100500e+01 9.98e+00 3.30e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 2.1856190e+02 8.88e-16 5.05e+02 -1.0 5.15e+00 - 1.95e-03 1.00e+00h 1\n", - " 2 1.5593530e+02 0.00e+00 1.29e+01 -1.0 2.36e+00 - 6.72e-02 1.00e+00f 1\n", - " 3 1.4504572e+02 0.00e+00 1.63e-01 -1.0 1.38e+00 - 8.47e-01 1.00e+00f 1\n", - " 4 1.4500209e+02 0.00e+00 8.40e-16 -1.0 7.52e-02 - 1.00e+00 1.00e+00f 1\n", - " 5 1.4500000e+02 0.00e+00 1.60e-15 -2.5 1.95e-02 - 1.00e+00 1.00e+00f 1\n", - " 6 1.4500000e+02 0.00e+00 6.43e-16 -3.8 9.08e-04 - 1.00e+00 1.00e+00f 1\n", - " 7 1.4500000e+02 8.88e-16 1.18e-15 -5.7 2.61e-05 - 1.00e+00 1.00e+00f 1\n", - " 8 1.4500000e+02 0.00e+00 1.06e-15 -8.6 3.13e-07 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 8\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 1.4500000000000000e+02 1.4500000000000000e+02\n", - "Dual infeasibility......: 1.0648464902588984e-15 1.0648464902588984e-15\n", - "Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Complementarity.........: 2.5064815359838347e-09 2.5064815359838347e-09\n", - "Overall NLP error.......: 2.5064815359838347e-09 2.5064815359838347e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 9\n", - "Number of objective gradient evaluations = 9\n", - "Number of equality constraint evaluations = 9\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 9\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 8\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", - "Total CPU secs in NLP function evaluations = 0.000\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dot_in_.in\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]Unresolved sigma values, is the mu computation successful? or is this a square problem?\n", - "Check the sigma_out file with the PRINT_VERBOSE (cmake) option set to 0\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": print_kkt=\n", - "print_kkt=\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 5\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 2\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 3\n", - "I[K_AUG]...\t[ADJUST_MU]log10(mu) computed=-8.601046750216618 at var_i=0\n", - "I[K_AUG]...\t[ADJUST_MU]log10(mu) close to the target\t-8.600935491205588 at var_i=1\n", - "yes I hear you 1\n", - "W[k_aug]...\t[k_aug_asl]printing kkt matrix.\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 2, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 6\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 4\n", - "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 145.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 4\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]New folder created ./GJH !...\n", - "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", - "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", - "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", - "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", - "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", - "E[K_AUG]...\t[SIGMA_COMPUTE]Unresolved sigma values, is the mu computation successful? or is this a square problem?\n", - "Check the sigma_out file with the PRINT_VERBOSE (cmake) option set to 0\n", - "W[K_AUG]...\t[MA57_DRIVER]\n", - "\n", - "\t\tCould not fix the accuracy of the problem.\n", - "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", - "\t\tWarning: results might be incorrect.\n", - "\t\tCurrent residual ratio 0.38223; Max residual ratio 1e-10.\n", - "\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", - "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 5\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 4\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 1\n", - "I[K_AUG]...\t[ADJUST_MU]log10(mu) computed=-8.601046750216618 at var_i=0\n", - "I[K_AUG]...\t[ADJUST_MU]log10(mu) close to the target\t-8.600935491205588 at var_i=1\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 4, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 8\n", - "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 4\n", - "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", - "I[K_AUG]...\t[GET_HESS_ASL]Current objective 145.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 4\n", - "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", - "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", - "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 2 \n", - "I[MA57]...\t[]***\n", - " Runtime parameters:\n", - " Objective type: METIS_OBJTYPE_CUT\n", - " Coarsening type: Unknown!\n", - " Initial partitioning type: Unknown!\n", - " Refinement type: Unknown!\n", - " Perform a 2-hop matching: No\n", - " Number of balancing constraints: 1\n", - " Number of refinement iterations: 183290035\n", - " Random number seed: 0\n", - " Number of separators: 32767\n", - " Compress graph prior to ordering: No\n", - " Detect & order connected components separately: No\n", - " Prunning factor for high degree vertices: 53753036.000000\n", - " Allowed maximum load imbalance: 1.515 \n", - "\n", - "Input Error: Incorrect objective type.\n", - " nbrpool statistics\n", - " nbrpoolsize: 0 nbrpoolcpos: 0\n", - " nbrpoolreallocs: 0\n", - "\n", - "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 4\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[Factorize Success.]***\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 3.822297e-01 \n", - "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", - "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", - "\n", - "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_FACTOR]\n", - "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 4\n", - "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", - "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.3822297176861677.\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", - "\n", - "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=4, (neig == m).\n", - "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", - "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.000856, Fact 0.001175, Overall 0.001503.\n" - ] - } - ], - "source": [ - "variable_name = ['p1','p2']\n", - "#variable_name = ['x1','x2','x3','p1','p2']\n", - "\n", - "mod = create_model()\n", - "\n", - "\n", - "\n", - "#gradient_f, gradient_c, line_dic = get_sensitivity(mod, variable_name)\n", - "gradient_f, gradient_c, col,row, line_dic = get_dfds_dcds(mod, variable_name, tee=True)\n", - "## Run sensitivity toolbox\n", - "#sigma_p = np.array([[1, 0], [0, 1]])\n", - "#results = propagate_uncertainty(mod,{'p1':10, 'p2':5}, sigma_p, variable_name)\n", - "\n", - "dsdp_re, col = get_dsdp(mod, variable_name, {'p1':10, 'p2':5}, tee=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "36d53dbe", - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'results' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_42857/3318447597.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mvar_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdsdp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtoarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mvar_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mNameError\u001b[0m: name 'results' is not defined" - ] - } - ], - "source": [ - "var_idx = np.array([True,True,False,False,True])\n", - "print(results.dsdp.toarray()[var_idx,:])" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "b3639315", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[ 9.00000000e-01 2.00000000e-01]\n", - " [ 1.00000000e-01 -2.00000000e-01]\n", - " [ 1.00000000e+00 5.55111512e-17]\n", - " [ 0.00000000e+00 1.00000000e+00]\n", - " [-1.00000000e-01 1.20000000e+00]]\n", - " (0, 0)\t0.8999999997992688\n", - " (0, 1)\t0.19999999995630358\n", - " (1, 0)\t0.10000000020073119\n", - " (1, 1)\t-0.19999999995630352\n", - " (2, 0)\t1.0\n", - " (2, 1)\t5.551115123125783e-17\n", - " (3, 1)\t0.9999999999999999\n", - " (4, 0)\t-0.10000000020073119\n", - " (4, 1)\t1.1999999999563031\n", - "['x1', 'x2', 'p1', 'p2', 'x3']\n" - ] - } - ], - "source": [ - "\n", - "dsdp_array = dsdp_re.toarray().T\n", - "print(dsdp_array)\n", - "print(sparse.csr_matrix(dsdp_array))\n", - "print(col)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b4c7e437", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "18877727", - "metadata": {}, - "outputs": [], - "source": [ - "print((mod.x1()))\n", - "print((mod.x2()))\n", - "print((mod.x3()))\n", - "print((mod.p1()))\n", - "print((mod.p2()))\n", - "print((mod.obj()))" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "d7d0a40b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[10. 10. 14. 11. 0.]\n" - ] - } - ], - "source": [ - "print(gradient_f)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "6871ca77", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " (0, 0)\t1.0\n", - " (0, 1)\t1.0\n", - " (0, 2)\t-1.0\n", - " (1, 1)\t1.0\n", - " (1, 3)\t-1.0\n" - ] - } - ], - "source": [ - "print(gradient_c)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dfbe121b", - "metadata": {}, - "outputs": [], - "source": [ - "print(col)\n", - "print(row)\n", - "print(line_dic)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "79d734bd", - "metadata": {}, - "outputs": [], - "source": [ - "### Inspect solution\n", - "print(\"Numeric solution:\")\n", - "print(\"x1 =\",m.x1())\n", - "print(\"x2 =\",m.x2())\n", - "print(\"x3 =\",m.x3())\n", - "print(m.dual.display())\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "45358039", - "metadata": {}, - "outputs": [], - "source": [ - "def derivative_numerical(par):\n", - " ### Create optimization model\n", - " m = pyo.ConcreteModel()\n", - "\n", - " # Define variables\n", - " m.x1 = pyo.Var()\n", - " m.x2 = pyo.Var()\n", - " m.x3 = pyo.Var()\n", - "\n", - " # Define parameters\n", - " m.p1 = pyo.Param(initialize=par[0])\n", - " m.p2 = pyo.Param(initialize=par[1])\n", - "\n", - " # Define constraints\n", - " m.con1 = pyo.Constraint(expr=m.x1 + m.x2-m.p1==0)\n", - " m.con2 = pyo.Constraint(expr=m.x2 + m.x3-m.p2==0)\n", - " m.add = pyo.Constraint(expr=m.p1*m.x1+ m.p2*(m.x2**2) + m.p1*m.p2 == 145.0)\n", - " \n", - " return m " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "946903c1", - "metadata": {}, - "outputs": [], - "source": [ - "#scenario = [[10.1,5], [9.9,5], [10,5.05], [10,4.95]]\n", - "scenario = [[10,5], [9.9,5], [10,5], [10,4.95]]\n", - "#scenario = [[10,5]]\n", - "\n", - "x1_store = []\n", - "x2_store = []\n", - "x3_store = []\n", - "for j in scenario:\n", - " kitty = derivative_numerical(j)\n", - " solver = SolverFactory('ipopt')\n", - " solver.solver_options = 'ma57'\n", - " solver.solve(kitty,tee=True)\n", - " \n", - " print(value(kitty.p1))\n", - " print(value(kitty.p2)\n", - " \n", - " x1_store.append(value(kitty.x1))\n", - " x2_store.append(value(kitty.x2))\n", - " x3_store.append(value(kitty.x3))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "92aedf79", - "metadata": {}, - "outputs": [], - "source": [ - "print(x1_store)\n", - "print(x2_store)\n", - "print(x3_store)\n", - "\n", - "x1p1 = (x1_store[0]-x1_store[1])/0.1\n", - "x1p2 = (x1_store[2]-x1_store[3])/0.05\n", - "x2p1 = (x2_store[0]-x2_store[1])/0.1\n", - "x2p2 = (x2_store[2]-x2_store[3])/0.05\n", - "x3p1 = (x3_store[0]-x3_store[1])/0.1\n", - "x3p2 = (x3_store[2]-x3_store[3])/0.05\n", - "\n", - "print(x1p1)\n", - "print(x1p2)\n", - "print(x2p1)\n", - "print(x2p2)\n", - "print(x3p1)\n", - "print(x3p2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f9648e18", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.6" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/pyomo/contrib/doe/otpimize_example.ipynb b/pyomo/contrib/doe/otpimize_example.ipynb deleted file mode 100644 index dd94cbe1336..00000000000 --- a/pyomo/contrib/doe/otpimize_example.ipynb +++ /dev/null @@ -1,427 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 3, - "id": "c0688b98", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Numeric solution:\n", - "x1 = 9.0\n", - "x2 = 1.0\n", - "x3 = 4.0\n", - "dual : Direction=Suffix.IMPORT, Datatype=Suffix.FLOAT\n", - " Key : Value\n", - " con1 : 10.0\n", - " con2 : 0.0\n", - "None\n", - "\n", - "Analytic solution:\n", - "x1 = 9.0\n", - "x2 = 1.0\n", - "x3 = 4.0\n", - "v1 = 10\n", - "v2 = 0\n", - "\n", - "\n", - "dx/dp =\n", - " [[ 0.9 0.2]\n", - " [ 0.1 -0.2]\n", - " [-0.1 1.2]]\n", - "\n", - "\n", - "df/dx =\n", - " [10. 10. 0.]\n", - "\n", - "\n", - "df/dp =\n", - " [14. 11.]\n", - "\n", - "\n", - "dc/dx =\n", - " [[1. 1. 0.]\n", - " [0. 1. 1.]]\n", - "\n", - "\n", - "dc/dp =\n", - " [[-1. 0.]\n", - " [ 0. -1.]]\n", - "\n", - "sigma_f = 1273.0\n", - "\n", - "sigma_c = \n", - " [[0. 0.]\n", - " [0. 0.]]\n", - "\n", - "\n", - "\n", - "sigma_f (take 2) = 1273.0\n", - "sigma_c (take 2) = [[0. 0.]\n", - " [0. 0.]]\n" - ] - }, - { - "ename": "AssertionError", - "evalue": "\nArrays are not almost equal to 6 decimals\n\nMismatched elements: 1 / 4 (25%)\nMax absolute difference: 1.46\nMax relative difference: inf\n x: array([[0. , 0. ],\n [0. , 1.46]])\n y: array(0.)", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_21944/3823211263.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 284\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 285\u001b[0m \u001b[0;31m# Check the uncertainty propagation results for the constrains matches\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 286\u001b[0;31m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtesting\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0massert_array_almost_equal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpropagation_c\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msigma_c\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 287\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 288\u001b[0m \u001b[0;31m# Check the uncertainty propagation results for the objective matches\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - " \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n", - "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/numpy/testing/_private/utils.py\u001b[0m in \u001b[0;36massert_array_compare\u001b[0;34m(comparison, x, y, err_msg, verbose, header, precision, equal_nan, equal_inf)\u001b[0m\n\u001b[1;32m 842\u001b[0m \u001b[0mverbose\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mverbose\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheader\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mheader\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 843\u001b[0m names=('x', 'y'), precision=precision)\n\u001b[0;32m--> 844\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mAssertionError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 845\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 846\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mtraceback\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mAssertionError\u001b[0m: \nArrays are not almost equal to 6 decimals\n\nMismatched elements: 1 / 4 (25%)\nMax absolute difference: 1.46\nMax relative difference: inf\n x: array([[0. , 0. ],\n [0. , 1.46]])\n y: array(0.)" - ] - } - ], - "source": [ - "#################################################################################\n", - "# The Institute for the Design of Advanced Energy Systems Integrated Platform\n", - "# Framework (IDAES IP) was produced under the DOE Institute for the\n", - "# Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021\n", - "# by the software owners: The Regents of the University of California, through\n", - "# Lawrence Berkeley National Laboratory, National Technology & Engineering\n", - "# Solutions of Sandia, LLC, Carnegie Mellon University, West Virginia University\n", - "# Research Corporation, et al. All rights reserved.\n", - "#\n", - "# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and\n", - "# license information.\n", - "#################################################################################\n", - "\n", - "'''\n", - "Consider the following optimization problem.\n", - "min f: p1*x1+ p2*(x2^2) + p1*p2\n", - " s.t c1: x1 + x2 = p1\n", - " c2: x2 + x3 = p2\n", - " 0 <= x1, x2, x3 <= 10\n", - " p1 = 10\n", - " p2 = 5\n", - "Variables = (x1, x2, x3)\n", - "Parameters (fixed variables) = (p1, p2)\n", - "'''\n", - "\n", - "import pyomo.environ as pyo\n", - "import numpy as np\n", - "#import pytest\n", - "from idaes.apps.uncertainty_propagation.uncertainties import propagate_uncertainty\n", - "\n", - "if __name__ == \"__main__\":\n", - "\n", - " ### Create optimization model\n", - " m = pyo.ConcreteModel()\n", - " m.dual = pyo.Suffix(direction=pyo.Suffix.IMPORT)\n", - "\n", - " # Define variables\n", - " # m.x1 = pyo.Var(bounds=(0,10))\n", - " # m.x2 = pyo.Var(bounds=(0,10))\n", - " # m.x3 = pyo.Var(bounds=(0,10))\n", - "\n", - " m.x1 = pyo.Var()\n", - " m.x2 = pyo.Var()\n", - " m.x3 = pyo.Var()\n", - "\n", - "\n", - "\n", - " # Define parameters\n", - " # m.p1 = pyo.Param(initialize=10, mutable=True)\n", - " # m.p2 = pyo.Param(initialize=5, mutable=True)\n", - " # Important Tip: The uncertain parameters need to be defined at Pyomo variables\n", - " m.p1 = pyo.Var(initialize=10)\n", - " m.p2 = pyo.Var(initialize=5)\n", - " # Important Tip: We fix these to first solve with Ipopt. We unfix below\n", - " # before using the uncertainty propagation toolbox.\n", - " m.p1.fix()\n", - " m.p2.fix()\n", - "\n", - " # Define constraints\n", - " m.con1 = pyo.Constraint(expr=m.x1 + m.x2-m.p1==0)\n", - " m.con2 = pyo.Constraint(expr=m.x2 + m.x3-m.p2==0)\n", - "\n", - " # Define objective\n", - " m.obj = pyo.Objective(expr=m.p1*m.x1+ m.p2*(m.x2**2) + m.p1*m.p2, sense=pyo.minimize)\n", - "\n", - " ### Solve optimization model\n", - " opt = pyo.SolverFactory('ipopt',tee=True)\n", - " opt.solve(m)\n", - "\n", - "\n", - " ### Inspect solution\n", - " print(\"Numeric solution:\")\n", - " print(\"x1 =\",m.x1())\n", - " print(\"x2 =\",m.x2())\n", - " print(\"x3 =\",m.x3())\n", - " print(m.dual.display())\n", - "\n", - " ### Analytic solution\n", - " '''\n", - " At the optimal solution, none of the bounds are active. As long as the active set\n", - " does not change (i.e., none of the bounds become active), the\n", - " first order optimality conditions reduce to a simple linear system.\n", - " '''\n", - "\n", - " # dual variables (multipliers)\n", - " v2_ = 0\n", - " v1_ = m.p1()\n", - "\n", - " # primal variables\n", - " x2_ = (v1_ + v2_)/(2 * m.p2())\n", - " x1_ = m.p1() - x2_\n", - " x3_ = m.p2() - x2_\n", - "\n", - " print(\"\\nAnalytic solution:\")\n", - " print(\"x1 =\",x1_)\n", - " print(\"x2 =\",x2_)\n", - " print(\"x3 =\",x3_)\n", - " print(\"v1 =\",v1_)\n", - " print(\"v2 =\",v2_)\n", - " \n", - " ### Analytic sensitivity\n", - " '''\n", - " Using the analytic solution above, we can compute the sensitivies of x and v to\n", - " perturbations in p1 and p2.\n", - " The matrix dx_dp constains the sensitivities of x to perturbations in p\n", - " ''' \n", - "\n", - " # Initialize sensitivity matrix Nx x Np\n", - " # Rows: variables x\n", - " # Columns: parameters p\n", - " dx_dp = np.zeros((3,2))\n", - "\n", - " # dx2/dp1 = 1/(2 * p2)\n", - " dx_dp[1, 0] = 1/(2*m.p2())\n", - "\n", - " # dx2/dp2 = -(v1 + v2)/(2 * p2**2)\n", - " dx_dp[1,1] = -(v1_ + v2_)/(2 * m.p2()**2)\n", - "\n", - " # dx1/dp1 = 1 - dx2/dp1\n", - " dx_dp[0, 0] = 1 - dx_dp[1,0]\n", - "\n", - " # dx1/dp2 = 0 - dx2/dp2\n", - " dx_dp[0, 1] = 0 - dx_dp[1,1]\n", - "\n", - " # dx3/dp1 = 1 - dx2/dp1\n", - " dx_dp[2, 0] = 0 - dx_dp[1,0]\n", - "\n", - " # dx3/dp2 = 0 - dx2/dp2\n", - " dx_dp[2, 1] = 1 - dx_dp[1,1]\n", - "\n", - " print(\"\\n\\ndx/dp =\\n\",dx_dp)\n", - "\n", - "\n", - " '''\n", - " Similarly, we can compute the gradients df_dx, df_dp\n", - " and Jacobians dc_dx, dc_dp\n", - " '''\n", - "\n", - " # Initialize 1 x 3 array to store (\\partial f)/(\\partial x)\n", - " # Elements: variables x\n", - " df_dx = np.zeros(3)\n", - "\n", - " # df/dx1 = p1\n", - " df_dx[0] = m.p1()\n", - "\n", - " # df/dx2 = p2\n", - " df_dx[1] = 2 * m.p2() * x2_\n", - "\n", - " # df/dx3 = 0\n", - "\n", - " print(\"\\n\\ndf/dx =\\n\",df_dx)\n", - "\n", - " # Initialize 1 x 2 array to store (\\partial f)/(\\partial p)\n", - " # Elements: parameters p\n", - " df_dp = np.zeros(2)\n", - "\n", - " # df/dxp1 = x1 + p2\n", - " df_dp[0] = x1_ + m.p2()\n", - "\n", - " # df/dp2 = x2**2 + p1\n", - " df_dp[1] = x2_**2 + m.p1()\n", - "\n", - " print(\"\\n\\ndf/dp =\\n\",df_dp)\n", - "\n", - " # Initialize 2 x 3 array to store (\\partial c)/(\\partial x)\n", - " # Rows: constraints c\n", - " # Columns: variables x\n", - " dc_dx = np.zeros((2,3))\n", - "\n", - " # dc1/dx1 = 1\n", - " dc_dx[0,0] = 1\n", - "\n", - " # dc1/dx2 = 1\n", - " dc_dx[0,1] = 1\n", - "\n", - " # dc2/dx2 = 1\n", - " dc_dx[1,1] = 1\n", - "\n", - " # dc2/dx3 = 1\n", - " dc_dx[1,2] = 1\n", - "\n", - " # Remaining entries are 0\n", - "\n", - " print(\"\\n\\ndc/dx =\\n\",dc_dx)\n", - "\n", - " # Initialize 2 x 2 array to store (\\partial c)/(\\partial x)\n", - " # Rows: constraints c\n", - " # Columns: variables x\n", - " dc_dp = np.zeros((2,2))\n", - "\n", - " # dc1/dp1 = -1\n", - " dc_dp[0,0] = -1\n", - "\n", - " # dc2/dp2 = -1\n", - " dc_dp[1,1] = -1\n", - "\n", - " # Remaining entries are 0\n", - "\n", - " print(\"\\n\\ndc/dp =\\n\",dc_dp)\n", - "\n", - " ### Uncertainty propagation\n", - " '''\n", - " Now lets test the uncertainty propagation package. We will assume p has covariance\n", - " sigma_p = [[2, 0], [0, 1]]\n", - " '''\n", - "\n", - " ## Prepare inputs\n", - "\n", - " # Covariance matrix\n", - " sigma_p = np.array([[2, 0], [0, 1]])\n", - "\n", - " # Nominal values for uncertain parameters\n", - " theta = {'p1':m.p1(), 'p2':m.p2()}\n", - "\n", - " # Names of uncertain parameters\n", - " theta_names = ['p1','p2']\n", - "\n", - " # Important to unfix the parameters!\n", - " # Otherwise k_aug will complain about too few degrees of freedom\n", - " m.p1.unfix()\n", - " m.p2.unfix()\n", - "\n", - " ## Run sensitivity toolbox\n", - " results = propagate_uncertainty(m, theta, sigma_p, theta_names)\n", - "\n", - " ## Compute uncertainty propagation by hand\n", - " # We now compute the expected result with our \n", - " # analytic solution.\n", - "\n", - " # Take 1: use the formula in the documentation\n", - " tmp_f = (df_dp + df_dx @ dx_dp)\n", - " sigma_f = tmp_f @ sigma_p @ tmp_f.transpose()\n", - " print(\"\\nsigma_f = \",sigma_f)\n", - "\n", - " tmp_c = (dc_dp + dc_dx @ dx_dp)\n", - " sigma_c = tmp_c @ sigma_p @ tmp_c.transpose()\n", - " print(\"\\nsigma_c = \\n\",sigma_c)\n", - "\n", - " # Take 2: use an equivalent formula\n", - " print(\"\\n\\n\")\n", - " grad_f = np.hstack((df_dx, df_dp))\n", - " dsdp = np.vstack((dx_dp,np.eye(2)))\n", - " sigma_f_take_2 = grad_f @ dsdp @ sigma_p @ dsdp.transpose() @ grad_f.transpose()\n", - " # This matches\n", - " print(\"sigma_f (take 2) = \",sigma_f_take_2)\n", - "\n", - " dc_ds = np.hstack((dc_dx, dc_dp))\n", - " sigma_c_take_2 = dc_ds @ dsdp @ sigma_p @ dsdp.transpose() @ dc_ds.transpose()\n", - " # This matches\n", - " print(\"sigma_c (take 2) = \",sigma_c_take_2)\n", - "\n", - "\n", - " ## Check results\n", - " # We now check the results for the uncertainty propagation toolbox\n", - "\n", - " # Check the order from the uncertainty propagation toolbox is as expected\n", - " # TODO: make this test more automated to use this information\n", - " # to reshuffle the analytic solution\n", - " assert results.col == ['x1', 'x2', 'p1', 'p2', 'x3']\n", - " assert results.row == ['con1', 'con2', 'obj']\n", - "\n", - " # Define indices to compare results to analytic solution\n", - " # TODO: make this more robust to use the results above\n", - " var_idx = np.array([True,True,False,False,True])\n", - " theta_idx = np.array([False,False,True,True,False])\n", - "\n", - " # Check the gradient of the objective w.r.t. x matches\n", - " np.testing.assert_array_almost_equal(results.gradient_f[var_idx], np.array(df_dx))\n", - "\n", - " # Check the gradient of the objective w.r.t. p (parameters) matches\n", - " np.testing.assert_array_almost_equal(results.gradient_f[theta_idx], np.array(df_dp))\n", - "\n", - " # Check the Jacobian of the constraints w.r.t. x matches\n", - " #np.testing.assert_array_almost_equal(results.gradient_c.toarray()[:, var_idx], np.array(dc_dx))\n", - "\n", - " # Check the Jacobian of the constraints w.r.t. p (parameters) matches\n", - " #np.testing.assert_array_almost_equal(results.gradient_c.toarray()[:, theta_idx], np.array(dc_dp))\n", - "\n", - " # Check the NLP sensitivity results for the variables (x) matches\n", - " np.testing.assert_array_almost_equal(results.dsdp.toarray()[var_idx,:], np.array(dx_dp))\n", - " \n", - "\n", - " # Check the NLP sensitivity results for the parameters (p) matches\n", - " np.testing.assert_array_almost_equal(results.dsdp.toarray()[theta_idx,:], np.array([[1,0],[0,1]]))\n", - "\n", - " # Check the uncertainty propagation results for the constrains matches\n", - " np.testing.assert_array_almost_equal(results.propagation_c,np.sum(sigma_c))\n", - "\n", - " # Check the uncertainty propagation results for the objective matches\n", - " assert results.propagation_f == pytest.approx(sigma_f)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "f8c817c8", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[ 0.9 0.2]\n", - " [ 0.1 -0.2]\n", - " [-0.1 1.2]]\n", - "[[ 1.00000000e+00 -5.55111512e-17]\n", - " [-2.22044605e-16 1.00000000e+00]]\n" - ] - } - ], - "source": [ - "print(results.dsdp.toarray()[var_idx,:])\n", - "print(results.dsdp.toarray()[theta_idx,:])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bef7cdcb", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.6" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index ebb713d757c..fba16bb657a 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -141,7 +141,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "d576e9c4", "metadata": {}, "outputs": [], @@ -178,7 +178,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "47137cb2", "metadata": {}, "outputs": [], @@ -204,27 +204,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "written-tours", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The prior information FIM: [[ 22.52943024 1.84034314 -70.23273336 -11.09432962]\n", - " [ 1.84034314 18.09848116 -5.73565034 -109.15866135]\n", - " [ -70.23273336 -5.73565034 218.94192843 34.57680848]\n", - " [ -11.09432962 -109.15866135 34.57680848 658.37644634]]\n", - "Prior Det: 1.8919381636034424e-08\n", - "Eigenvalue of the prior experiments FIM: [2.38378604e+02 6.79567681e+02 2.12450662e-07 5.49729273e-07]\n", - "Eigenvalue of the prior experiments FIM: [[-0.87143147 0.38380582 0.30437815 -0.02557787]\n", - " [ 0.39764512 0.90284244 -0.01368273 -0.16299286]\n", - " [-0.2795342 0.12312967 -0.94886453 0.07972337]\n", - " [ 0.0659256 0.14969203 0.0826004 0.9830683 ]]\n" - ] - } - ], + "outputs": [], "source": [ "# empty prior\n", "prior_all = np.zeros((4,4))\n", @@ -260,18 +243,10 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "d3ee5ff9", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Design variable: {'CA0': {0: 5}, 'T': {0: 570.21, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}}\n" - ] - } - ], + "outputs": [], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", @@ -295,717 +270,12 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "latin-medicare", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2867\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 773\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -0.0000000e+00 5.92e+01 1.52e+01 -1.0 2.28e+01 - 6.06e-02 9.91e-01f 1\n", - " 2 -0.0000000e+00 4.95e-03 6.04e-01 -1.0 6.04e+01 - 9.82e-01 1.00e+00h 1\n", - " 3 -0.0000000e+00 5.95e-02 2.36e+02 -1.0 1.43e+01 - 4.30e-01 1.00e+00f 1\n", - " 4 -0.0000000e+00 1.13e+00 4.14e+02 -1.0 6.90e+02 - 3.28e-02 1.29e-01f 1\n", - " 5 -0.0000000e+00 3.14e-01 2.08e+01 -1.0 4.31e+01 - 6.61e-01 1.00e+00f 1\n", - " 6 -0.0000000e+00 6.42e-01 2.72e+01 -1.0 6.86e+01 - 6.08e-01 1.00e+00f 1\n", - " 7 -0.0000000e+00 1.54e+00 2.26e+00 -1.0 1.18e+02 - 7.98e-01 8.81e-01h 1\n", - " 8 -0.0000000e+00 4.23e-01 1.39e-01 -1.0 5.51e+01 -4.0 1.00e+00 1.00e+00f 1\n", - " 9 -0.0000000e+00 6.28e-02 7.52e-02 -1.7 2.07e+01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -0.0000000e+00 1.57e+00 4.31e-01 -2.5 1.07e+02 - 6.13e-01 1.00e+00h 1\n", - " 11 -0.0000000e+00 6.78e-02 3.44e-04 -2.5 2.19e+01 - 1.00e+00 1.00e+00h 1\n", - " 12 -0.0000000e+00 3.36e-01 4.20e-04 -2.5 4.76e+01 - 1.00e+00 1.00e+00h 1\n", - " 13 -0.0000000e+00 9.13e-03 7.89e-06 -2.5 8.21e+00 - 1.00e+00 1.00e+00h 1\n", - " 14 -0.0000000e+00 5.69e-07 1.48e-06 -3.8 2.56e-02 - 1.00e+00 1.00e+00h 1\n", - " 15 -0.0000000e+00 6.83e-11 1.05e-09 -5.7 8.76e-04 - 1.00e+00 1.00e+00h 1\n", - " 16 -0.0000000e+00 8.15e-13 1.42e-12 -8.6 9.56e-05 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 16\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", - "Dual infeasibility......: 1.4173432042291914e-12 1.4173432042291914e-12\n", - "Constraint violation....: 8.1534778928471496e-13 8.1534778928471496e-13\n", - "Complementarity.........: 2.5072632846406053e-09 2.5072632846406053e-09\n", - "Overall NLP error.......: 2.5072632846406053e-09 2.5072632846406053e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 17\n", - "Number of objective gradient evaluations = 17\n", - "Number of equality constraint evaluations = 17\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 17\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 16\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.013\n", - "Total CPU secs in NLP function evaluations = 0.001\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2867\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 773\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -0.0000000e+00 5.86e+01 1.52e+01 -1.0 2.26e+01 - 6.06e-02 9.91e-01f 1\n", - " 2 -0.0000000e+00 4.90e-03 6.05e-01 -1.0 5.98e+01 - 9.82e-01 1.00e+00h 1\n", - " 3 -0.0000000e+00 5.85e-02 2.36e+02 -1.0 1.43e+01 - 4.29e-01 1.00e+00f 1\n", - " 4 -0.0000000e+00 1.15e+00 4.17e+02 -1.0 6.96e+02 - 3.24e-02 1.29e-01f 1\n", - " 5 -0.0000000e+00 3.25e-01 2.12e+01 -1.0 4.43e+01 - 6.52e-01 1.00e+00f 1\n", - " 6 -0.0000000e+00 6.42e-01 2.66e+01 -1.0 6.82e+01 - 6.10e-01 1.00e+00f 1\n", - " 7 -0.0000000e+00 1.54e+00 1.61e+00 -1.0 1.05e+02 - 8.25e-01 9.86e-01h 1\n", - " 8 -0.0000000e+00 4.32e-01 1.47e-01 -1.0 5.73e+01 -4.0 1.00e+00 1.00e+00f 1\n", - " 9 -0.0000000e+00 4.41e-02 6.20e-02 -1.7 1.74e+01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -0.0000000e+00 2.08e+00 4.62e-01 -2.5 1.24e+02 - 5.71e-01 1.00e+00h 1\n", - " 11 -0.0000000e+00 5.46e-02 3.72e-04 -2.5 1.96e+01 - 1.00e+00 1.00e+00h 1\n", - " 12 -0.0000000e+00 2.48e-01 3.40e-04 -2.5 4.26e+01 - 1.00e+00 1.00e+00h 1\n", - " 13 -0.0000000e+00 9.92e-03 7.55e-06 -2.5 8.52e+00 - 1.00e+00 1.00e+00h 1\n", - " 14 -0.0000000e+00 7.61e-07 1.55e-06 -3.8 2.96e-02 - 1.00e+00 1.00e+00h 1\n", - " 15 -0.0000000e+00 5.86e-11 6.11e-10 -5.7 6.59e-04 - 1.00e+00 1.00e+00h 1\n", - " 16 -0.0000000e+00 7.08e-13 8.26e-13 -8.6 7.25e-05 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 16\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", - "Dual infeasibility......: 8.2559462071391616e-13 8.2559462071391616e-13\n", - "Constraint violation....: 7.0787820050099981e-13 7.0787820050099981e-13\n", - "Complementarity.........: 2.5067062541277139e-09 2.5067062541277139e-09\n", - "Overall NLP error.......: 2.5067062541277139e-09 2.5067062541277139e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 17\n", - "Number of objective gradient evaluations = 17\n", - "Number of equality constraint evaluations = 17\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 17\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 16\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.012\n", - "Total CPU secs in NLP function evaluations = 0.001\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2867\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 773\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -0.0000000e+00 5.79e+01 1.52e+01 -1.0 2.19e+01 - 6.06e-02 9.91e-01f 1\n", - " 2 -0.0000000e+00 4.87e-03 6.15e-01 -1.0 5.91e+01 - 9.82e-01 1.00e+00h 1\n", - " 3 -0.0000000e+00 5.69e-02 2.49e+02 -1.0 1.44e+01 - 4.25e-01 1.00e+00f 1\n", - " 4 -0.0000000e+00 1.16e+00 4.37e+02 -1.0 7.65e+02 - 2.92e-02 1.18e-01f 1\n", - " 5 -0.0000000e+00 3.72e-01 2.39e+01 -1.0 4.85e+01 - 6.24e-01 1.00e+00f 1\n", - " 6 -0.0000000e+00 6.02e-01 2.52e+01 -1.0 6.64e+01 - 6.22e-01 1.00e+00f 1\n", - " 7 -0.0000000e+00 1.57e+00 1.57e+00 -1.0 9.16e+01 - 8.82e-01 1.00e+00h 1\n", - " 8 -0.0000000e+00 5.68e-02 1.71e-01 -1.0 1.58e+01 -4.0 1.00e+00 1.00e+00h 1\n", - " 9 -0.0000000e+00 1.03e-03 1.18e-02 -2.5 2.68e+00 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -0.0000000e+00 9.10e-02 1.21e-02 -3.8 2.51e+01 - 9.17e-01 1.00e+00h 1\n", - " 11 -0.0000000e+00 4.83e+00 6.58e-06 -3.8 1.98e+02 - 1.00e+00 1.00e+00h 1\n", - " 12 -0.0000000e+00 3.10e-01 3.18e-05 -3.8 4.88e+01 - 1.00e+00 1.00e+00h 1\n", - " 13 -0.0000000e+00 4.31e-02 3.25e-06 -3.8 1.87e+01 - 1.00e+00 1.00e+00h 1\n", - " 14 -0.0000000e+00 3.00e-04 2.22e-09 -3.8 1.84e+00 - 1.00e+00 1.00e+00h 1\n", - " 15 -0.0000000e+00 2.69e-10 2.59e-09 -5.7 1.29e-03 - 1.00e+00 1.00e+00h 1\n", - " 16 -0.0000000e+00 1.86e-13 2.36e-13 -8.6 1.42e-05 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 16\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", - "Dual infeasibility......: 2.3578374411993631e-13 2.3578374411993631e-13\n", - "Constraint violation....: 8.5156510238448668e-14 1.8562928971732617e-13\n", - "Complementarity.........: 2.5060006116419943e-09 2.5060006116419943e-09\n", - "Overall NLP error.......: 2.5060006116419943e-09 2.5060006116419943e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 17\n", - "Number of objective gradient evaluations = 17\n", - "Number of equality constraint evaluations = 17\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 17\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 16\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.012\n", - "Total CPU secs in NLP function evaluations = 0.001\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2867\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 773\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -0.0000000e+00 5.86e+01 1.52e+01 -1.0 2.26e+01 - 6.06e-02 9.91e-01f 1\n", - " 2 -0.0000000e+00 4.97e-03 6.13e-01 -1.0 5.98e+01 - 9.82e-01 1.00e+00h 1\n", - " 3 -0.0000000e+00 5.96e-02 2.55e+02 -1.0 1.42e+01 - 4.30e-01 1.00e+00f 1\n", - " 4 -0.0000000e+00 1.02e+00 4.08e+02 -1.0 8.00e+02 - 2.80e-02 1.08e-01f 1\n", - " 5 -0.0000000e+00 3.32e-01 2.37e+01 -1.0 4.37e+01 - 6.53e-01 1.00e+00f 1\n", - " 6 -0.0000000e+00 6.04e-01 2.90e+01 -1.0 6.69e+01 - 6.15e-01 1.00e+00f 1\n", - " 7 -0.0000000e+00 1.51e+00 1.42e+00 -1.0 1.10e+02 - 8.13e-01 9.47e-01h 1\n", - " 8 -0.0000000e+00 4.16e-01 1.56e-01 -1.0 5.62e+01 -4.0 1.00e+00 1.00e+00f 1\n", - " 9 -0.0000000e+00 7.63e-02 8.26e-02 -1.7 2.31e+01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -0.0000000e+00 1.09e-04 9.64e-04 -2.5 8.26e-01 -4.5 1.00e+00 1.00e+00h 1\n", - " 11 -0.0000000e+00 3.64e-03 4.61e-04 -3.8 5.08e+00 - 1.00e+00 1.00e+00h 1\n", - " 12 -0.0000000e+00 4.47e-06 1.66e-06 -3.8 1.49e-01 -5.0 1.00e+00 1.00e+00h 1\n", - " 13 -0.0000000e+00 2.41e-04 5.59e-06 -5.7 1.31e+00 - 1.00e+00 1.00e+00h 1\n", - " 14 -0.0000000e+00 6.84e-09 2.01e-08 -5.7 5.42e-03 -5.4 1.00e+00 1.00e+00h 1\n", - " 15 -0.0000000e+00 3.05e-06 7.63e-09 -8.6 1.47e-01 - 1.00e+00 1.00e+00h 1\n", - " 16 -0.0000000e+00 2.43e-13 2.73e-11 -8.6 2.21e-05 -5.9 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 16\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", - "Dual infeasibility......: 2.7281912437433930e-11 2.7281912437433930e-11\n", - "Constraint violation....: 1.4210854715202004e-13 2.4336088699783431e-13\n", - "Complementarity.........: 2.5059039648386803e-09 2.5059039648386803e-09\n", - "Overall NLP error.......: 2.5059039648386803e-09 2.5059039648386803e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 17\n", - "Number of objective gradient evaluations = 17\n", - "Number of equality constraint evaluations = 17\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 17\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 16\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.013\n", - "Total CPU secs in NLP function evaluations = 0.001\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2867\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 773\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 3.97e+01 1.11e-15 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -0.0000000e+00 5.80e+01 1.52e+01 -1.0 2.23e+01 - 6.06e-02 9.91e-01f 1\n", - " 2 -0.0000000e+00 4.87e-03 6.09e-01 -1.0 5.92e+01 - 9.82e-01 1.00e+00h 1\n", - " 3 -0.0000000e+00 5.78e-02 2.42e+02 -1.0 1.43e+01 - 4.29e-01 1.00e+00f 1\n", - " 4 -0.0000000e+00 1.15e+00 4.25e+02 -1.0 7.18e+02 - 3.14e-02 1.25e-01f 1\n", - " 5 -0.0000000e+00 3.46e-01 2.26e+01 -1.0 4.63e+01 - 6.40e-01 1.00e+00f 1\n", - " 6 -0.0000000e+00 6.23e-01 2.61e+01 -1.0 6.76e+01 - 6.15e-01 1.00e+00f 1\n", - " 7 -0.0000000e+00 1.53e+00 1.91e+00 -1.0 9.34e+01 - 8.50e-01 1.00e+00h 1\n", - " 8 -0.0000000e+00 1.40e-01 1.68e-01 -1.0 2.96e+01 -4.0 1.00e+00 1.00e+00h 1\n", - " 9 -0.0000000e+00 7.37e-04 9.13e-03 -2.5 2.26e+00 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -0.0000000e+00 1.82e-02 6.21e-04 -3.8 1.12e+01 - 1.00e+00 1.00e+00h 1\n", - " 11 -0.0000000e+00 2.61e-06 2.00e-06 -3.8 5.99e-02 -4.5 1.00e+00 1.00e+00h 1\n", - " 12 -0.0000000e+00 1.98e-04 7.83e-06 -5.7 1.01e+00 - 1.00e+00 1.00e+00h 1\n", - " 13 -0.0000000e+00 1.36e-09 2.46e-08 -5.7 2.21e-03 -5.0 1.00e+00 1.00e+00h 1\n", - " 14 -0.0000000e+00 2.60e-06 1.03e-08 -8.6 1.20e-01 - 1.00e+00 1.00e+00h 1\n", - " 15 -0.0000000e+00 2.06e-13 3.39e-11 -8.6 9.16e-06 -5.4 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 15\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", - "Dual infeasibility......: 3.3930513998325294e-11 3.3930513998325294e-11\n", - "Constraint violation....: 8.5492789794318718e-14 2.0605739337042905e-13\n", - "Complementarity.........: 2.5059039410060861e-09 2.5059039410060861e-09\n", - "Overall NLP error.......: 2.5059039410060861e-09 2.5059039410060861e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 16\n", - "Number of objective gradient evaluations = 16\n", - "Number of equality constraint evaluations = 16\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 16\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 15\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.012\n", - "Total CPU secs in NLP function evaluations = 0.001\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2867\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 773\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -0.0000000e+00 5.86e+01 1.52e+01 -1.0 2.26e+01 - 6.06e-02 9.91e-01f 1\n", - " 2 -0.0000000e+00 4.92e-03 6.07e-01 -1.0 5.98e+01 - 9.82e-01 1.00e+00h 1\n", - " 3 -0.0000000e+00 5.87e-02 2.41e+02 -1.0 1.43e+01 - 4.30e-01 1.00e+00f 1\n", - " 4 -0.0000000e+00 1.12e+00 4.22e+02 -1.0 7.11e+02 - 3.17e-02 1.26e-01f 1\n", - " 5 -0.0000000e+00 3.34e-01 2.21e+01 -1.0 4.50e+01 - 6.48e-01 1.00e+00f 1\n", - " 6 -0.0000000e+00 6.24e-01 2.68e+01 -1.0 6.79e+01 - 6.12e-01 1.00e+00f 1\n", - " 7 -0.0000000e+00 1.55e+00 2.15e+00 -1.0 1.03e+02 - 8.29e-01 1.00e+00h 1\n", - " 8 -0.0000000e+00 3.65e-01 1.55e-01 -1.0 5.32e+01 -4.0 1.00e+00 1.00e+00h 1\n", - " 9 -0.0000000e+00 4.57e-02 6.35e-02 -1.7 1.78e+01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -0.0000000e+00 5.13e+00 6.52e-01 -2.5 2.03e+02 - 4.02e-01 1.00e+00h 1\n", - " 11 -0.0000000e+00 8.22e-02 7.41e-04 -2.5 1.76e+01 - 1.00e+00 1.00e+00h 1\n", - " 12 -0.0000000e+00 2.94e-01 3.76e-04 -2.5 4.68e+01 - 1.00e+00 1.00e+00h 1\n", - " 13 -0.0000000e+00 2.70e-02 1.65e-05 -2.5 1.42e+01 - 1.00e+00 1.00e+00h 1\n", - " 14 -0.0000000e+00 4.50e-06 4.43e-06 -3.8 7.27e-02 - 1.00e+00 1.00e+00h 1\n", - " 15 -0.0000000e+00 3.49e-09 8.27e-09 -5.7 5.15e-03 - 1.00e+00 1.00e+00h 1\n", - " 16 -0.0000000e+00 4.34e-11 1.11e-11 -8.6 5.75e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 16\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", - "Dual infeasibility......: 1.1134029411924323e-11 1.1134029411924323e-11\n", - "Constraint violation....: 4.3442582864372525e-11 4.3442582864372525e-11\n", - "Complementarity.........: 2.5101974367200565e-09 2.5101974367200565e-09\n", - "Overall NLP error.......: 2.5101974367200565e-09 2.5101974367200565e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 17\n", - "Number of objective gradient evaluations = 17\n", - "Number of equality constraint evaluations = 17\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 17\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 16\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.012\n", - "Total CPU secs in NLP function evaluations = 0.001\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2867\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 773\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -0.0000000e+00 5.93e+01 1.52e+01 -1.0 2.32e+01 - 6.06e-02 9.91e-01f 1\n", - " 2 -0.0000000e+00 4.95e-03 5.97e-01 -1.0 6.06e+01 - 9.82e-01 1.00e+00h 1\n", - " 3 -0.0000000e+00 6.04e-02 2.29e+02 -1.0 1.43e+01 - 4.34e-01 1.00e+00f 1\n", - " 4 -0.0000000e+00 1.12e+00 4.02e+02 -1.0 6.51e+02 - 3.50e-02 1.36e-01f 1\n", - " 5 -0.0000000e+00 2.92e-01 1.95e+01 -1.0 4.10e+01 - 6.77e-01 1.00e+00f 1\n", - " 6 -0.0000000e+00 6.64e-01 2.81e+01 -1.0 6.97e+01 - 6.02e-01 1.00e+00f 1\n", - " 7 -0.0000000e+00 1.58e+00 1.03e+01 -1.0 1.57e+02 - 7.23e-01 6.60e-01h 1\n", - " 8 -0.0000000e+00 1.52e+00 8.98e+00 -1.0 1.14e+03 - 8.51e-02 3.29e-02h 2\n", - " 9 -0.0000000e+00 3.60e-01 2.09e-01 -1.0 4.62e+01 -4.0 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -0.0000000e+00 1.04e-01 1.15e-01 -1.7 2.66e+01 - 9.82e-01 1.00e+00h 1\n", - " 11 -0.0000000e+00 2.69e+00 6.81e-01 -2.5 3.29e+02 - 4.59e-01 1.00e+00H 1\n", - " 12 -0.0000000e+00 3.86e-02 5.21e-04 -2.5 1.65e+01 - 1.00e+00 1.00e+00h 1\n", - " 13 -0.0000000e+00 4.00e-01 1.04e-03 -2.5 5.41e+01 - 1.00e+00 1.00e+00h 1\n", - " 14 -0.0000000e+00 4.28e-02 6.64e-06 -2.5 1.77e+01 - 1.00e+00 1.00e+00h 1\n", - " 15 -0.0000000e+00 4.91e-05 3.76e-08 -2.5 6.05e-01 - 1.00e+00 1.00e+00h 1\n", - " 16 -0.0000000e+00 2.44e-11 3.79e-09 -3.8 4.27e-04 - 1.00e+00 1.00e+00h 1\n", - " 17 -0.0000000e+00 4.89e-13 5.73e-11 -5.7 6.02e-05 - 1.00e+00 1.00e+00h 1\n", - " 18 -0.0000000e+00 2.25e-13 7.77e-14 -8.6 6.58e-06 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 18\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", - "Dual infeasibility......: 7.7705647845246195e-14 7.7705647845246195e-14\n", - "Constraint violation....: 9.3231361284321713e-14 2.2470914018413171e-13\n", - "Complementarity.........: 2.5059846637484349e-09 2.5059846637484349e-09\n", - "Overall NLP error.......: 2.5059846637484349e-09 2.5059846637484349e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 23\n", - "Number of objective gradient evaluations = 19\n", - "Number of equality constraint evaluations = 23\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 19\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 18\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.013\n", - "Total CPU secs in NLP function evaluations = 0.001\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2867\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 281\n", - "\n", - "Total number of variables............................: 861\n", - " variables with only lower bounds: 289\n", - " variables with lower and upper bounds: 88\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 773\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 3.97e+01 6.66e-16 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -0.0000000e+00 5.86e+01 1.52e+01 -1.0 2.26e+01 - 6.06e-02 9.91e-01f 1\n", - " 2 -0.0000000e+00 4.85e-03 5.99e-01 -1.0 5.98e+01 - 9.82e-01 1.00e+00h 1\n", - " 3 -0.0000000e+00 5.77e-02 2.23e+02 -1.0 1.45e+01 - 4.29e-01 1.00e+00f 1\n", - " 4 -0.0000000e+00 1.27e+00 4.30e+02 -1.0 6.28e+02 - 3.61e-02 1.49e-01f 1\n", - " 5 -0.0000000e+00 3.22e-01 1.97e+01 -1.0 4.52e+01 - 6.48e-01 1.00e+00f 1\n", - " 6 -0.0000000e+00 6.54e-01 2.45e+01 -1.0 6.89e+01 - 6.08e-01 1.00e+00f 1\n", - " 7 -0.0000000e+00 1.53e+00 1.85e+00 -1.0 9.94e+01 - 8.39e-01 1.00e+00h 1\n", - " 8 -0.0000000e+00 2.73e-01 1.40e-01 -1.0 4.46e+01 -4.0 1.00e+00 1.00e+00h 1\n", - " 9 -0.0000000e+00 3.49e-02 5.40e-02 -1.7 1.49e+01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -0.0000000e+00 9.24e-01 2.76e-01 -2.5 8.10e+01 - 7.39e-01 1.00e+00h 1\n", - " 11 -0.0000000e+00 2.08e-01 2.97e-04 -2.5 4.18e+01 - 1.00e+00 1.00e+00h 1\n", - " 12 -0.0000000e+00 2.08e-01 2.00e-04 -2.5 3.66e+01 - 1.00e+00 1.00e+00h 1\n", - " 13 -0.0000000e+00 3.63e-03 3.18e-06 -2.5 4.58e+00 - 1.00e+00 1.00e+00h 1\n", - " 14 -0.0000000e+00 4.63e-08 3.37e-07 -3.8 1.60e-02 - 1.00e+00 1.00e+00h 1\n", - " 15 -0.0000000e+00 6.04e-10 3.04e-09 -5.7 2.57e-03 - 1.00e+00 1.00e+00h 1\n", - " 16 -0.0000000e+00 7.22e-12 4.13e-12 -8.6 2.81e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 16\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", - "Dual infeasibility......: 4.1257577426197636e-12 4.1257577426197636e-12\n", - "Constraint violation....: 7.2173378384832176e-12 7.2173378384832176e-12\n", - "Complementarity.........: 2.5078708813684584e-09 2.5078708813684584e-09\n", - "Overall NLP error.......: 2.5078708813684584e-09 2.5078708813684584e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 17\n", - "Number of objective gradient evaluations = 17\n", - "Number of equality constraint evaluations = 17\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 17\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 16\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.012\n", - "Total CPU secs in NLP function evaluations = 0.001\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Build time with sequential_finite mode [s]: 0.030359983444213867\n", - "Solve time with sequential_finite mode [s]: 0.689023494720459\n", - "Existed information has been added.\n", - "FIM: [[ 444.73444486 60.16555026 -72.0389764 -709.54690683]\n", - " [ 60.16555026 33.90006296 8.59147417 -252.92817324]\n", - " [ -72.0389764 8.59147417 278.77444283 -64.27418769]\n", - " [-709.54690683 -252.92817324 -64.27418769 2108.61447957]]\n", - "Trace: 2866.023430223978\n", - "Determinant: 7436356.140962985\n", - "Condition number: 34474.36334812389\n", - "Minimal eigen value: 0.06958527991997998\n", - "Eigen values: [2.39890822e+03 3.33446806e+02 1.33598815e+02 6.95852799e-02]\n", - "Eigen vectors: [[ 0.34161842 0.49673667 -0.78580509 0.13805759]\n", - " [ 0.10857518 -0.05915107 0.18121947 0.97563932]\n", - " [ 0.01712901 -0.85110267 -0.5229036 0.04361949]\n", - " [-0.93338892 0.15930498 -0.27611896 0.16481917]]\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -1027,43 +297,22 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "45846b75", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'A1': [0.0, -3.6606054667029047, -2.3635239079111026, -1.6150093116358288, -1.0903633700746014, -0.7260229165519549, -0.48266087544115777, -0.33421599778240446, -0.29551645276085936, 0.0, 0.2896180336036336, -0.7633655968353416, -1.3662693127746153, -1.835098699600124, -2.3060862988616426, -2.9903008443893375, -4.506776317240912, -11.571227909032684, 0.0, 3.3709874330992267, 3.1268895047464884, 2.981278624410444, 2.925462069674678, 3.032109215413592, 3.472961719830492, 4.840992315023285, 11.866744361793536], 'A2': [0.0, 0.2913907028615048, 0.22621018043024188, 0.15686416249269808, 0.10340170647900326, 0.06565638369605414, 0.04002712884921822, 0.022822113782026282, 0.009991438111041102, 0.0, -0.5173616100142109, -0.7401246889483959, -0.9436940316240205, -1.1075576934014952, -1.21552642763052, -1.2561526639995213, -1.2117065264168558, -1.007508459687373, 0.0, 0.2259709071527116, 0.5139145085181318, 0.7868298691313447, 1.0041559869225392, 1.1498700439344756, 1.216125535150292, 1.1888844126348275, 0.9975170215763107], 'E1': [0.0, 2.728697550761483, 3.0542201609539577, 2.5438107628898696, 1.8562812257867103, 1.2413497109973985, 0.7664773641547926, 0.4253371429969881, 0.17743401568293143, 0.0, -2.921693076930265, -3.1525808123036514, -2.530766268204454, -1.8019326509673084, -1.2169155625736394, -0.8202675835161877, -0.5728033239638441, -0.313698533619522, 0.0, 0.19299552616880436, 0.09836065134969374, -0.013044494685399144, -0.05434857481938504, -0.024434148423790884, 0.05379021936138262, 0.1474661809668376, 0.13626451793657957], 'E2': [0.0, 0.19402580041802953, -0.3835880995866847, -0.3536660346958709, -0.2363748191570619, -0.12581819097817332, -0.03829067234768918, 0.034860203378971055, 0.14403488348751692, 0.0, 3.678578077559247, 5.6529816010108425, 7.071342208971565, 8.202101460177769, 9.096359726627234, 9.86818976254228, 10.95740169757894, 16.323038213204278, 0.0, -3.872603877977268, -5.269393501424203, -6.7176761742757, -7.965726641020687, -8.97054153564909, -9.829899090194584, -10.992261900957878, -16.467073096691774]}\n" - ] - } - ], + "outputs": [], "source": [ "print(doe_object.jac)" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "64fc6da4", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "======Result summary======\n", - "Four design criteria log10() value:\n", - "A-optimality: 3.4572797365063326\n", - "D-optimality: 6.871360180770548\n", - "E-optimality: -1.1574826213901612\n", - "Modified E-optimality: 4.5374962546317965\n" - ] - } - ], + "outputs": [], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", @@ -1148,47 +397,12 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "wicked-raising", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "ename": "ValueError", - "evalue": "The NL writer has detected multiple active objective functions on model unknown, but currently only handles a single objective.", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_19381/1251008884.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m prior_FIM=prior_pass, discretize_model=disc, args=args_)\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, \n\u001b[0m\u001b[1;32m 6\u001b[0m \u001b[0mscale_nominal_param_value\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobjective_option\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'det'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m L_initial=None)\n", - "\u001b[0;32m~/pyomo/pyomo/contrib/doe/fim_doe.py\u001b[0m in \u001b[0;36moptimize_doe\u001b[0;34m(self, design_values, if_optimize, objective_option, scale_nominal_param_value, scale_constant_value, if_Cholesky, L_LB, L_initial, formula, step, check)\u001b[0m\n\u001b[1;32m 170\u001b[0m \u001b[0;31m# result_square: solver result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 171\u001b[0m \u001b[0mtime0_solve\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 172\u001b[0;31m \u001b[0mresult_square\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0;36m_presolve\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m 203\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_define_signal_handlers\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'use_signal_handling'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 204\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 205\u001b[0;31m \u001b[0mOptSolver\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_presolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 206\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 207\u001b[0m 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666\u001b[0;31m self._convert_problem(args,\n\u001b[0m\u001b[1;32m 667\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_problem_format\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 668\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_valid_problem_formats\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/opt/base/solvers.py\u001b[0m in \u001b[0;36m_convert_problem\u001b[0;34m(self, args, problem_format, valid_problem_formats, **kwds)\u001b[0m\n\u001b[1;32m 715\u001b[0m \u001b[0mvalid_problem_formats\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 716\u001b[0m **kwds):\n\u001b[0;32m--> 717\u001b[0;31m return convert_problem(args,\n\u001b[0m\u001b[1;32m 718\u001b[0m \u001b[0mproblem_format\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 719\u001b[0m \u001b[0mvalid_problem_formats\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/pyomo/opt/base/convert.py\u001b[0m in \u001b[0;36mconvert_problem\u001b[0;34m(args, target_problem_type, valid_problem_types, has_capability, **kwds)\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[0mtmpkw\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 99\u001b[0m \u001b[0mtmpkw\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'capabilities'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhas_capability\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 100\u001b[0;31m \u001b[0mproblem_files\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msymbol_map\u001b[0m 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\u001b[0msolver_capability\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1804\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0msolver_capability\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1805\u001b[0;31m (filename, smap) = problem_writer(self,\n\u001b[0m\u001b[1;32m 1806\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1807\u001b[0m \u001b[0msolver_capability\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32mpyomo/repn/plugins/ampl/ampl_.pyx\u001b[0m in \u001b[0;36mpyomo.repn.plugins.ampl.ampl_.ProblemWriter_nl.__call__\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32mpyomo/repn/plugins/ampl/ampl_.pyx\u001b[0m in \u001b[0;36mpyomo.repn.plugins.ampl.ampl_.ProblemWriter_nl.__call__\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32mpyomo/repn/plugins/ampl/ampl_.pyx\u001b[0m in \u001b[0;36mpyomo.repn.plugins.ampl.ampl_.ProblemWriter_nl.__call__\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32mpyomo/repn/plugins/ampl/ampl_.pyx\u001b[0m in \u001b[0;36mpyomo.repn.plugins.ampl.ampl_.ProblemWriter_nl._print_model_NL\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mValueError\u001b[0m: The NL writer has detected multiple active objective functions on model unknown, but currently only handles a single objective." - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -1244,7 +458,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "427c7dc8", "metadata": {}, "outputs": [], @@ -1274,3845 +488,12 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "dcfae212", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "81 design vectors will be searched.\n", - "=======This is the 1 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.031255245208740234\n", - "Solve time with sequential_finite mode [s]: 0.7238433361053467\n", - "Existed information has been added.\n", - "FIM: [[ 22.89768091 1.53928806 -71.14450502 -9.57572471]\n", - " [ 1.53928806 18.72886613 -5.18660436 -112.25334943]\n", - " [ -71.14450502 -5.18660436 221.30417007 31.75702036]\n", - " [ -9.57572471 -112.25334943 31.75702036 673.61550826]]\n", - "Trace: 936.546225376841\n", - "Determinant: 10.710585826224152\n", - "Condition number: 476578.8513326353\n", - "Minimal eigen value: 0.0014579504543034561\n", - "Eigen values: [6.94828353e+02 2.41672666e+02 4.37487245e-02 1.45795045e-03]\n", - "Eigen vectors: [[ 0.02191752 0.30541511 -0.68324357 0.66288721]\n", - " [ 0.16391419 -0.01269612 0.68664422 0.70816005]\n", - " [-0.07105831 -0.9493116 -0.22011526 0.21285551]\n", - " [-0.98366787 0.07326594 0.11509652 0.11739854]]\n", - "This is the 1 run out of 81 run.\n", - "The code has run 1.2194 seconds.\n", - "Estimated remaining time: 97.5498 seconds\n", - "=======This is the 2 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03217744827270508\n", - "Solve time with sequential_finite mode [s]: 0.7449314594268799\n", - "Existed information has been added.\n", - "FIM: [[ 22.89405831 1.54306883 -71.13974268 -9.54074762]\n", - " [ 1.54306883 18.73764863 -5.18478387 -112.522534 ]\n", - " [ -71.13974268 -5.18478387 221.29156148 31.7053344 ]\n", - " [ -9.54074762 -112.522534 31.7053344 676.09482294]]\n", - "Trace: 939.0180913676088\n", - "Determinant: 2.515342565860301\n", - "Condition number: 1459565.0748267088\n", - "Minimal eigen value: 0.00047774897458528846\n", - "Eigen values: [6.97305718e+02 2.41680654e+02 3.12415277e-02 4.77748975e-04]\n", - "Eigen vectors: [[ 0.0217337 0.30542589 -0.78747908 0.53490128]\n", - " [ 0.16371593 -0.01252622 0.5540315 0.81614293]\n", - " [-0.07055422 -0.94935001 -0.25353286 0.17169085]\n", - " [-0.98374125 0.07275078 0.09298864 0.13532773]]\n", - "This is the 2 run out of 81 run.\n", - "The code has run 2.4013 seconds.\n", - "Estimated remaining time: 94.8521 seconds\n", - "=======This is the 3 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.02929997444152832\n", - "Solve time with sequential_finite mode [s]: 0.6969621181488037\n", - "Existed information has been added.\n", - "FIM: [[ 22.87411481 1.5664198 -71.10291428 -9.628807 ]\n", - " [ 1.5664198 18.73894087 -5.22923555 -112.56406816]\n", - " [ -71.10291428 -5.22923555 221.22266035 31.85730265]\n", - " [ -9.628807 -112.56406816 31.85730265 676.48995528]]\n", - "Trace: 939.3256713048338\n", - "Determinant: 2.992364676895625\n", - "Condition number: 1042395.9075959717\n", - "Minimal eigen value: 0.0006693494747720002\n", - "Eigen values: [6.97727153e+02 2.41571325e+02 2.65234850e-02 6.69349475e-04]\n", - "Eigen vectors: [[ 0.02187829 0.30534706 -0.79133486 0.52921985]\n", - " [ 0.16367981 -0.01248524 0.54816603 0.82010185]\n", - " [-0.07082899 -0.94935157 -0.25465552 0.16989828]\n", - " [-0.98372431 0.07306773 0.09194411 0.13599218]]\n", - "This is the 3 run out of 81 run.\n", - "The code has run 3.5239 seconds.\n", - "Estimated remaining time: 91.6220 seconds\n", - "=======This is the 4 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03302955627441406\n", - "Solve time with sequential_finite mode [s]: 0.7390789985656738\n", - "Existed information has been added.\n", - "FIM: [[ 22.8711399 1.56860694 -71.04445898 -9.72796643]\n", - " [ 1.56860694 18.78141999 -5.31708003 -112.63935839]\n", - " [ -71.04445898 -5.31708003 220.99654119 32.47945828]\n", - " [ -9.72796643 -112.63935839 32.47945828 676.13801313]]\n", - "Trace: 938.7871142102133\n", - "Determinant: 6.459345559940871\n", - "Condition number: 794746.2423095551\n", - "Minimal eigen value: 0.0008776443646264918\n", - "Eigen values: [6.97504561e+02 2.41237936e+02 4.37398506e-02 8.77644365e-04]\n", - "Eigen vectors: [[ 0.02216472 0.30541737 -0.76461078 0.56709727]\n", - " [ 0.16385126 -0.01282988 0.58737235 0.79245308]\n", - " [-0.07217593 -0.94922095 -0.2462222 0.18205727]\n", - " [-0.98359144 0.07439898 0.09868491 0.13143042]]\n", - "This is the 4 run out of 81 run.\n", - "The code has run 4.7796 seconds.\n", - "Estimated remaining time: 92.0072 seconds\n", - "=======This is the 5 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Build time with sequential_finite mode [s]: 0.03173398971557617\n", - "Solve time with sequential_finite mode [s]: 0.7128989696502686\n", - "Existed information has been added.\n", - "FIM: [[ 22.85778568 1.58806577 -71.06150457 -9.85321782]\n", - " [ 1.58806577 18.80410201 -5.286094 -112.67643949]\n", - " [ -71.06150457 -5.286094 221.10525335 32.37888468]\n", - " [ -9.85321782 -112.67643949 32.37888468 675.93331915]]\n", - "Trace: 938.7004601958402\n", - "Determinant: 7.262664127105343\n", - "Condition number: 587380.8056164271\n", - "Minimal eigen value: 0.001187152066583163\n", - "Eigen values: [6.97310337e+02 2.41352585e+02 1.18715207e-03 3.63505971e-02]\n", - "Eigen vectors: [[ 0.02234475 0.30528812 -0.70708024 -0.63744601]\n", - " [ 0.16395232 -0.01289453 -0.66068357 0.73242787]\n", - " [-0.07203153 -0.94926903 -0.22700141 -0.20535366]\n", - " [-0.98358111 0.0743048 -0.10956786 0.12264531]]\n", - "This is the 5 run out of 81 run.\n", - "The code has run 5.9352 seconds.\n", - "Estimated remaining time: 90.2145 seconds\n", - "=======This is the 6 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.030384540557861328\n", - "Solve time with sequential_finite mode [s]: 0.6961460113525391\n", - "Existed information has been added.\n", - "FIM: [[ 22.84899118 1.60035793 -71.07056231 -9.94713529]\n", - " [ 1.60035793 18.83059662 -5.27278617 -112.69266932]\n", - " [ -71.07056231 -5.27278617 221.19102326 32.37779052]\n", - " [ -9.94713529 -112.69266932 32.37779052 675.45630656]]\n", - "Trace: 938.3269176234452\n", - "Determinant: 9.694247140473566\n", - "Condition number: 466093.36455583625\n", - "Minimal eigen value: 0.0014951061580782382\n", - "Eigen values: [6.96859060e+02 2.41427823e+02 1.49510616e-03 3.85398294e-02]\n", - "Eigen vectors: [[ 0.02251069 0.30517848 -0.80784021 -0.50373957]\n", - " [ 0.164086 -0.01300252 -0.52214955 0.83681932]\n", - " [-0.07213043 -0.94929271 -0.25934119 -0.16242752]\n", - " [-0.98354779 0.07443374 -0.08658052 0.13998992]]\n", - "This is the 6 run out of 81 run.\n", - "The code has run 7.0563 seconds.\n", - "Estimated remaining time: 88.2040 seconds\n", - "=======This is the 7 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03136420249938965\n", - "Solve time with sequential_finite mode [s]: 0.7238831520080566\n", - "Existed information has been added.\n", - "FIM: [[ 22.6714132 1.60632241 -70.57217099 -9.96921282]\n", - " [ 1.60632241 18.83919148 -5.02832177 -112.34650775]\n", - " [ -70.57217099 -5.02832177 220.97592645 32.9863538 ]\n", - " [ -9.96921282 -112.34650775 32.9863538 674.66260044]]\n", - "Trace: 937.1491315569567\n", - "Determinant: 1224.1591572634684\n", - "Condition number: 20261.150908716554\n", - "Minimal eigen value: 0.034354382262346495\n", - "Eigen values: [6.96059323e+02 2.40842897e+02 3.43543823e-02 2.12557114e-01]\n", - "Eigen vectors: [[-0.0226418 0.30364174 -0.68485091 0.66201833]\n", - " [-0.16375613 -0.01447055 0.68504577 0.70970897]\n", - " [ 0.07338419 -0.94968462 -0.22029076 0.21020433]\n", - " [ 0.98350701 0.07544145 0.11473232 0.11772444]]\n", - "This is the 7 run out of 81 run.\n", - "The code has run 8.2157 seconds.\n", - "Estimated remaining time: 86.8517 seconds\n", - "=======This is the 8 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03168010711669922\n", - "Solve time with sequential_finite mode [s]: 0.7403969764709473\n", - "Existed information has been added.\n", - "FIM: [[ 22.82364193 1.65919047 -70.98652356 -10.28581521]\n", - " [ 1.65919047 18.85202321 -5.44428715 -112.55373767]\n", - " [ -70.98652356 -5.44428715 220.92210491 33.28294252]\n", - " [ -10.28581521 -112.55373767 33.28294252 673.6891093 ]]\n", - "Trace: 936.2868793503487\n", - "Determinant: 27.94899616649604\n", - "Condition number: 233320.27142713152\n", - "Minimal eigen value: 0.0029798273082356666\n", - "Eigen values: [6.95254116e+02 2.40973799e+02 2.97982731e-03 5.59837163e-02]\n", - "Eigen vectors: [[-0.02329792 0.30512337 -0.86002716 -0.40830162]\n", - " [-0.16428245 -0.01336348 -0.42324719 0.89089534]\n", - " [ 0.07437058 -0.94911854 -0.27620165 -0.13174086]\n", - " [ 0.9833298 0.07677979 -0.07019787 0.14912956]]\n", - "This is the 8 run out of 81 run.\n", - "The code has run 9.4759 seconds.\n", - "Estimated remaining time: 86.4674 seconds\n", - "=======This is the 9 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03008103370666504\n", - "Solve time with sequential_finite mode [s]: 0.7191267013549805\n", - "Existed information has been added.\n", - "FIM: [[ 22.81569796 1.68351428 -70.96865809 -10.41960807]\n", - " [ 1.68351428 18.85669651 -5.49740997 -112.43945279]\n", - " [ -70.96865809 -5.49740997 220.87648514 33.55457515]\n", - " [ -10.41960807 -112.43945279 33.55457515 672.58866768]]\n", - "Trace: 935.1375473002295\n", - "Determinant: 40.06507413241759\n", - "Condition number: 191612.42950883394\n", - "Minimal eigen value: 0.0036229414848376624\n", - "Eigen values: [6.94200620e+02 2.40867168e+02 3.62294148e-03 6.61366248e-02]\n", - "Eigen vectors: [[-0.02361587 0.30507655 -0.88828052 -0.34253219]\n", - " [-0.1643736 -0.01349359 -0.35509255 0.92016766]\n", - " [ 0.07515371 -0.94906402 -0.285305 -0.11059144]\n", - " [ 0.98324744 0.07761255 -0.05889019 0.15405424]]\n", - "This is the 9 run out of 81 run.\n", - "The code has run 10.6258 seconds.\n", - "Estimated remaining time: 85.0067 seconds\n", - "=======This is the 10 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.030852556228637695\n", - "Solve time with sequential_finite mode [s]: 0.7187416553497314\n", - "Existed information has been added.\n", - "FIM: [[ 23.36699479 1.15109824 -72.31327058 -7.14789892]\n", - " [ 1.15109824 19.51581166 -4.44570537 -115.94368617]\n", - " [ -72.31327058 -4.44570537 224.32831285 26.54325739]\n", - " [ -7.14789892 -115.94368617 26.54325739 692.77427462]]\n", - "Trace: 959.985393919721\n", - "Determinant: 591.711692524396\n", - "Condition number: 27770.09482792143\n", - "Minimal eigen value: 0.0257055831552987\n", - "Eigen values: [7.13846482e+02 2.45982115e+02 2.57055832e-02 1.31091440e-01]\n", - "Eigen vectors: [[-0.01646899 0.30664139 -0.84240613 -0.44277731]\n", - " [-0.16479615 -0.00988458 -0.45916793 0.87287418]\n", - " [ 0.05731354 -0.94995722 -0.27179501 -0.14291227]\n", - " [ 0.98452332 0.0587762 -0.07512788 0.1470204 ]]\n", - "This is the 10 run out of 81 run.\n", - "The code has run 11.7899 seconds.\n", - "Estimated remaining time: 83.7082 seconds\n", - "=======This is the 11 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03172016143798828\n", - "Solve time with sequential_finite mode [s]: 0.7495214939117432\n", - "Existed information has been added.\n", - "FIM: [[ 23.35034577 1.16790197 -72.27678169 -7.64132149]\n", - " [ 1.16790197 19.54479058 -4.48551268 -116.68851581]\n", - " [ -72.27678169 -4.48551268 224.24067279 28.19482059]\n", - " [ -7.64132149 -116.68851581 28.19482059 697.6377723 ]]\n", - "Trace: 964.7735814406602\n", - "Determinant: 14.66295524960378\n", - "Condition number: 618686.1006461546\n", - "Minimal eigen value: 0.0011621564765956385\n", - "Eigen values: [7.19010059e+02 2.45690938e+02 7.14221299e-02 1.16215648e-03]\n", - "Eigen vectors: [[-0.01733523 0.30657654 -0.76328888 0.56841921]\n", - " [-0.16463207 -0.01131848 0.58856679 0.79142739]\n", - " [ 0.0601199 -0.94978879 -0.24690986 0.18254415]\n", - " [ 0.98436851 0.06151396 0.10007368 0.13122471]]\n", - "This is the 11 run out of 81 run.\n", - "The code has run 12.9854 seconds.\n", - "Estimated remaining time: 82.6347 seconds\n", - "=======This is the 12 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03261303901672363\n", - "Solve time with sequential_finite mode [s]: 0.7351465225219727\n", - "Existed information has been added.\n", - "FIM: [[ 23.32668342 1.19369775 -72.33354358 -7.84236457]\n", - " [ 1.19369775 19.58591989 -4.36157009 -116.76884473]\n", - " [ -72.33354358 -4.36157009 224.61304675 27.73967365]\n", - " [ -7.84236457 -116.76884473 27.73967365 697.39961849]]\n", - "Trace: 964.9252685581112\n", - "Determinant: 42.12358607923435\n", - "Condition number: 173010.70465367875\n", - "Minimal eigen value: 0.0041544192902884\n", - "Eigen values: [7.18759009e+02 2.46104785e+02 4.15441929e-03 5.73207220e-02]\n", - "Eigen vectors: [[-0.01755002 0.30623674 -0.70682098 -0.63742855]\n", - " [-0.16480218 -0.01141559 -0.66098234 0.73199199]\n", - " [ 0.05928375 -0.94994589 -0.22692638 -0.20637989]\n", - " [ 0.98438695 0.06075812 -0.1095941 0.12361192]]\n", - "This is the 12 run out of 81 run.\n", - "The code has run 14.2551 seconds.\n", - "Estimated remaining time: 81.9667 seconds\n", - "=======This is the 13 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.031500816345214844\n", - "Solve time with sequential_finite mode [s]: 0.7037637233734131\n", - "Existed information has been added.\n", - "FIM: [[ 23.29827546 1.22894071 -72.16291658 -8.0200322 ]\n", - " [ 1.22894071 19.63509408 -4.62536964 -116.99023268]\n", - " [ -72.16291658 -4.62536964 223.96656184 29.02789136]\n", - " [ -8.0200322 -116.99023268 29.02789136 698.33998774]]\n", - "Trace: 965.2399191264553\n", - "Determinant: 23.937898470956466\n", - "Condition number: 389661.6814576226\n", - "Minimal eigen value: 0.00184751474480007\n", - "Eigen values: [7.19905702e+02 2.45258986e+02 7.33833553e-02 1.84751474e-03]\n", - "Eigen vectors: [[-0.01802067 0.30641889 -0.69774963 0.64724661]\n", - " [-0.1648668 -0.0116624 0.67025902 0.72348861]\n", - " [ 0.06176701 -0.94972087 -0.22578198 0.20793653]\n", - " [ 0.98421493 0.0632591 0.11366971 0.11999356]]\n", - "This is the 13 run out of 81 run.\n", - "The code has run 15.3906 seconds.\n", - "Estimated remaining time: 80.5046 seconds\n", - "=======This is the 14 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.030808210372924805\n", - "Solve time with sequential_finite mode [s]: 0.7146949768066406\n", - "Existed information has been added.\n", - "FIM: [[ 23.06620887 1.54202861 -71.75960711 -9.56214109]\n", - " [ 1.54202861 19.63229635 -4.93981073 -116.94136508]\n", - " [ -71.75960711 -4.93981073 223.49347863 30.51368715]\n", - " [ -9.56214109 -116.94136508 30.51368715 697.87942943]]\n", - "Trace: 964.0714132744367\n", - "Determinant: 141.4219836500994\n", - "Condition number: 33130.27688093683\n", - "Minimal eigen value: 0.021723134612782392\n", - "Eigen values: [7.19693464e+02 2.44319201e+02 2.17231346e-02 3.70245060e-02]\n", - "Eigen vectors: [[ 0.02057949 -0.30508521 -0.90925512 0.2824086 ]\n", - " [ 0.16486798 0.0120174 -0.29280924 -0.94177327]\n", - " [-0.0651251 0.9498725 -0.29178699 0.09144014]\n", - " [-0.98394805 -0.06723705 -0.04876702 -0.15794683]]\n", - "This is the 14 run out of 81 run.\n", - "The code has run 16.5367 seconds.\n", - "Estimated remaining time: 79.1397 seconds\n", - "=======This is the 15 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03090643882751465\n", - "Solve time with sequential_finite mode [s]: 0.7253015041351318\n", - "Existed information has been added.\n", - "FIM: [[ 23.22197459 1.31949866 -72.00914529 -8.60641573]\n", - " [ 1.31949866 19.70508356 -4.83212402 -117.01118033]\n", - " [ -72.00914529 -4.83212402 223.65716167 30.31650933]\n", - " [ -8.60641573 -117.01118033 30.31650933 696.78486895]]\n", - "Trace: 963.3690887765521\n", - "Determinant: 27.833081449419428\n", - "Condition number: 381758.1018034951\n", - "Minimal eigen value: 0.0018823266965053219\n", - "Eigen values: [7.18593467e+02 2.44689645e+02 1.88232670e-03 8.40944691e-02]\n", - "Eigen vectors: [[-0.01918895 0.30610854 -0.75467612 -0.57999423]\n", - " [-0.16522038 -0.0123024 -0.60143808 0.78155173]\n", - " [ 0.06467494 -0.94960395 -0.24244923 -0.18785063]\n", - " [ 0.98394673 0.06632155 -0.09977256 0.13227141]]\n", - "This is the 15 run out of 81 run.\n", - "The code has run 17.7103 seconds.\n", - "Estimated remaining time: 77.9254 seconds\n", - "=======This is the 16 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.030787229537963867\n", - "Solve time with sequential_finite mode [s]: 0.7235379219055176\n", - "Existed information has been added.\n", - "FIM: [[ 23.21341122 1.37719611 -71.52120757 -8.95167057]\n", - " [ 1.37719611 19.76964977 -5.03966609 -116.98013919]\n", - " [ -71.52120757 -5.03966609 221.54837466 31.35190872]\n", - " [ -8.95167057 -116.98013919 31.35190872 695.02030433]]\n", - "Trace: 959.5517399691055\n", - "Determinant: 1078.7849666545112\n", - "Condition number: 16944.289741239747\n", - "Minimal eigen value: 0.04231625392898685\n", - "Eigen values: [7.17018867e+02 2.42343845e+02 1.46711816e-01 4.23162539e-02]\n", - "Eigen vectors: [[-0.01990769 0.30691997 -0.77172891 0.55663121]\n", - " [-0.16556661 -0.01263404 0.57637043 0.80014075]\n", - " [ 0.06680538 -0.94917979 -0.2501086 0.17899846]\n", - " [ 0.98373189 0.06854369 0.0983733 0.13377605]]\n", - "This is the 16 run out of 81 run.\n", - "The code has run 18.9380 seconds.\n", - "Estimated remaining time: 76.9357 seconds\n", - "=======This is the 17 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03230643272399902\n", - "Solve time with sequential_finite mode [s]: 0.711146354675293\n", - "Existed information has been added.\n", - "FIM: [[ 23.19140653 1.45452197 -71.86590137 -9.27516863]\n", - " [ 1.45452197 19.5009622 -4.57322014 -116.09565178]\n", - " [ -71.86590137 -4.57322014 223.27284328 28.91236904]\n", - " [ -9.27516863 -116.09565178 28.91236904 692.82994802]]\n", - "Trace: 958.7951600310682\n", - "Determinant: 405.73346191987747\n", - "Condition number: 19060.170152461385\n", - "Minimal eigen value: 0.0374762944613614\n", - "Eigen values: [7.14304549e+02 2.44391117e+02 6.20176566e-02 3.74762945e-02]\n", - "Eigen vectors: [[ 0.02004504 -0.3058106 0.78056719 0.54478705]\n", - " [ 0.16489246 0.01198408 -0.5641409 0.80895729]\n", - " [-0.06241591 0.94983208 0.25201078 0.17439566]\n", - " [-0.98413054 -0.0644615 -0.09460692 0.13557772]]\n", - "This is the 17 run out of 81 run.\n", - "The code has run 20.0853 seconds.\n", - "Estimated remaining time: 75.6153 seconds\n", - "=======This is the 18 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 1.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.030295372009277344\n", - "Solve time with sequential_finite mode [s]: 0.7057888507843018\n", - "Existed information has been added.\n", - "FIM: [[ 23.17353255 1.48747732 -71.88909733 -9.57620256]\n", - " [ 1.48747732 19.80446716 -5.19911175 -116.54044612]\n", - " [ -71.88909733 -5.19911175 223.2972708 32.27470726]\n", - " [ -9.57620256 -116.54044612 32.27470726 690.35395289]]\n", - "Trace: 956.6292233998961\n", - "Determinant: 202.2578438029176\n", - "Condition number: 88575.5039892403\n", - "Minimal eigen value: 0.00804426549395956\n", - "Eigen values: [7.12524870e+02 2.43951660e+02 8.04426549e-03 1.44648912e-01]\n", - "Eigen vectors: [[-0.02129557 0.30589635 -0.88846787 -0.3414656 ]\n", - " [-0.16601614 -0.01324869 -0.3542447 0.92020313]\n", - " [ 0.06977057 -0.94926604 -0.28580109 -0.11110266]\n", - " [ 0.98342118 0.07173485 -0.05876451 0.15583207]]\n", - "This is the 18 run out of 81 run.\n", - "The code has run 21.2165 seconds.\n", - "Estimated remaining time: 74.2578 seconds\n", - "=======This is the 19 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.031002283096313477\n", - "Solve time with sequential_finite mode [s]: 0.7261261940002441\n", - "Existed information has been added.\n", - "FIM: [[ 2.40184342e+01 6.15018103e-01 -7.39314669e+01 -4.79597716e+00]\n", - " [ 6.15018103e-01 2.06181802e+01 -3.44241278e+00 -1.22291590e+02]\n", - " [-7.39314669e+01 -3.44241278e+00 2.28517724e+02 2.28574101e+01]\n", - " [-4.79597716e+00 -1.22291590e+02 2.28574101e+01 7.26937509e+02]]\n", - "Trace: 1000.0918471108344\n", - "Determinant: 43.637566969492724\n", - "Condition number: 397253.94443967944\n", - "Minimal eigen value: 0.0018845147940360354\n", - "Eigen values: [7.48630935e+02 2.51335961e+02 1.23066139e-01 1.88451479e-03]\n", - "Eigen vectors: [[-0.01135362 0.30803435 -0.77174267 0.55623663]\n", - " [-0.16569386 -0.00955162 0.57569303 0.80064465]\n", - " [ 0.04599999 -0.95019912 -0.25111126 0.17874219]\n", - " [ 0.9850384 0.04631678 0.09966905 0.13274108]]\n", - "This is the 19 run out of 81 run.\n", - "The code has run 22.3710 seconds.\n", - "Estimated remaining time: 73.0003 seconds\n", - "=======This is the 20 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.0327761173248291\n", - "Solve time with sequential_finite mode [s]: 0.7494149208068848\n", - "Existed information has been added.\n", - "FIM: [[ 2.39888360e+01 6.44891388e-01 -7.38665977e+01 -4.95564433e+00]\n", - " [ 6.44891388e-01 2.06696983e+01 -3.51318135e+00 -1.22545072e+02]\n", - " [-7.38665977e+01 -3.51318135e+00 2.28361919e+02 2.32310415e+01]\n", - " [-4.95564433e+00 -1.22545072e+02 2.32310415e+01 7.28174375e+02]]\n", - "Trace: 1001.1948282731413\n", - "Determinant: 46.74517178466214\n", - "Condition number: 365095.5696854363\n", - "Minimal eigen value: 0.0020541297854192444\n", - "Eigen values: [7.49953684e+02 2.51118254e+02 1.20835948e-01 2.05412979e-03]\n", - "Eigen vectors: [[-0.01161588 0.30796542 -0.76246507 0.5689195 ]\n", - " [-0.16574857 -0.00964209 0.58884741 0.79100769]\n", - " [ 0.04663192 -0.95018733 -0.24806143 0.18285247]\n", - " [ 0.98499642 0.04699325 0.10183945 0.13115797]]\n", - "This is the 20 run out of 81 run.\n", - "The code has run 23.6528 seconds.\n", - "Estimated remaining time: 72.1410 seconds\n", - "=======This is the 21 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.033832550048828125\n", - "Solve time with sequential_finite mode [s]: 0.809837818145752\n", - "Existed information has been added.\n", - "FIM: [[ 2.39467695e+01 6.90750634e-01 -7.37743667e+01 -5.23096586e+00]\n", - " [ 6.90750634e-01 2.07428172e+01 -3.61918297e+00 -1.22831031e+02]\n", - " [-7.37743667e+01 -3.61918297e+00 2.28139381e+02 2.38460694e+01]\n", - " [-5.23096586e+00 -1.22831031e+02 2.38460694e+01 7.29164888e+02]]\n", - "Trace: 1001.9938560789983\n", - "Determinant: 55.54248153995448\n", - "Condition number: 307103.88047836535\n", - "Minimal eigen value: 0.0024456704441941078\n", - "Eigen values: [7.51074884e+02 2.50795961e+02 1.20565643e-01 2.44567044e-03]\n", - "Eigen vectors: [[-0.0120894 0.30786256 -0.73898275 0.59914855]\n", - " [-0.16589568 -0.00986206 0.62018543 0.76664946]\n", - " [ 0.04776605 -0.95015804 -0.24044597 0.19262356]\n", - " [ 0.98491161 0.04819833 0.10705263 0.12714472]]\n", - "This is the 21 run out of 81 run.\n", - "The code has run 24.9235 seconds.\n", - "Estimated remaining time: 71.2099 seconds\n", - "=======This is the 22 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.030397415161132812\n", - "Solve time with sequential_finite mode [s]: 0.7407381534576416\n", - "Existed information has been added.\n", - "FIM: [[ 23.89626648 0.75340465 -73.66417071 -5.62890778]\n", - " [ 0.75340465 20.83023787 -3.76181564 -123.08145666]\n", - " [ -73.66417071 -3.76181564 227.87461063 24.71205508]\n", - " [ -5.62890778 -123.08145666 24.71205508 729.42275028]]\n", - "Trace: 1002.0238652605656\n", - "Determinant: 76.05999944250391\n", - "Condition number: 230913.1817806519\n", - "Minimal eigen value: 0.0032544862242902986\n", - "Eigen values: [7.51503769e+02 2.50392642e+02 1.24199874e-01 3.25448622e-03]\n", - "Eigen vectors: [[-0.01279882 0.30772891 -0.69704384 0.64750984]\n", - " [-0.1661526 -0.01022937 0.67031167 0.7231673 ]\n", - " [ 0.04946949 -0.95010428 -0.2269072 0.20824926]\n", - " [ 0.98477524 0.05000137 0.11543515 0.11996799]]\n", - "This is the 22 run out of 81 run.\n", - "The code has run 26.1449 seconds.\n", - "Estimated remaining time: 70.1158 seconds\n", - "=======This is the 23 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03039693832397461\n", - "Solve time with sequential_finite mode [s]: 0.7374355792999268\n", - "Existed information has been added.\n", - "FIM: [[ 23.84285261 0.83123128 -73.54781906 -6.12987052]\n", - " [ 0.83123128 20.92096597 -3.93741859 -123.2297809 ]\n", - " [ -73.54781906 -3.93741859 227.59522828 25.78508137]\n", - " [ -6.12987052 -123.2297809 25.78508137 728.60397297]]\n", - "Trace: 1000.9630198412967\n", - "Determinant: 116.9497254849154\n", - "Condition number: 161094.93328069983\n", - "Minimal eigen value: 0.004661123446972955\n", - "Eigen values: [7.50883371e+02 2.49941298e+02 4.66112345e-03 1.33689745e-01]\n", - "Eigen vectors: [[-0.0137214 0.30757486 -0.7073486 -0.63629191]\n", - " [-0.16650931 -0.01072151 -0.66019376 0.73232772]\n", - " [ 0.0516971 -0.95002193 -0.22759501 -0.20733126]\n", - " [ 0.98458813 0.0523554 -0.10955669 0.12586684]]\n", - "This is the 23 run out of 81 run.\n", - "The code has run 27.4124 seconds.\n", - "Estimated remaining time: 69.1269 seconds\n", - "=======This is the 24 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.030428409576416016\n", - "Solve time with sequential_finite mode [s]: 0.7699258327484131\n", - "Existed information has been added.\n", - "FIM: [[ 23.79146383 0.9206163 -73.43565269 -6.69612051]\n", - " [ 0.9206163 21.00371095 -4.1377668 -123.22977594]\n", - " [ -73.43565269 -4.1377668 227.32456499 26.98332377]\n", - " [ -6.69612051 -123.22977594 26.98332377 726.59902706]]\n", - "Trace: 998.7187668279797\n", - "Determinant: 187.84714931975176\n", - "Condition number: 112225.48387601941\n", - "Minimal eigen value: 0.006674833948959177\n", - "Eigen values: [7.49086470e+02 2.49475029e+02 6.67483395e-03 1.50593112e-01]\n", - "Eigen vectors: [[-0.01479899 0.30741225 -0.76799352 -0.5616624 ]\n", - " [-0.16693269 -0.01128784 -0.58284191 0.7951738 ]\n", - " [ 0.05431367 -0.94991159 -0.24722751 -0.18329361]\n", - " [ 0.98435994 0.05512035 -0.09674618 0.13651898]]\n", - "This is the 24 run out of 81 run.\n", - "The code has run 28.6422 seconds.\n", - "Estimated remaining time: 68.0252 seconds\n", - "=======This is the 25 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.029809236526489258\n", - "Solve time with sequential_finite mode [s]: 0.7275562286376953\n", - "Existed information has been added.\n", - "FIM: [[ 23.7453982 1.01697638 -73.33455715 -7.28518116]\n", - " [ 1.01697638 21.06945633 -4.3522319 -123.06353225]\n", - " [ -73.33455715 -4.3522319 227.07791215 28.21494145]\n", - " [ -7.28518116 -123.06353225 28.21494145 723.5210959 ]]\n", - "Trace: 995.4138625773894\n", - "Determinant: 296.90945166894204\n", - "Condition number: 82028.58792770687\n", - "Minimal eigen value: 0.009096931433910245\n", - "Eigen values: [7.46208440e+02 2.49020682e+02 9.09693143e-03 1.75644084e-01]\n", - "Eigen vectors: [[-0.01595966 0.30725123 -0.82028825 -0.48215056]\n", - " [-0.16737823 -0.01186971 -0.50042867 0.8493614 ]\n", - " [ 0.0571443 -0.9497781 -0.26419074 -0.15766845]\n", - " [ 0.98410586 0.05811499 -0.08307581 0.14579682]]\n", - "This is the 25 run out of 81 run.\n", - "The code has run 29.8079 seconds.\n", - "Estimated remaining time: 66.7697 seconds\n", - "=======This is the 26 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.028581619262695312\n", - "Solve time with sequential_finite mode [s]: 0.7077126502990723\n", - "Existed information has been added.\n", - "FIM: [[ 2.67638952e+01 -7.76330766e-01 -6.35437151e+01 4.33196217e-01]\n", - " [-7.76330766e-01 2.11126507e+01 -7.74184362e+00 -1.22738973e+02]\n", - " [-6.35437151e+01 -7.74184362e+00 2.50032259e+02 4.32443176e+01]\n", - " [ 4.33196217e-01 -1.22738973e+02 4.32443176e+01 7.19627125e+02]]\n", - "Trace: 1017.5359294279499\n", - "Determinant: 217392.15436294436\n", - "Condition number: 6583.780515477637\n", - "Minimal eigen value: 0.11308180694796818\n", - "Eigen values: [7.44505797e+02 2.63102790e+02 9.81426070e+00 1.13081807e-01]\n", - "Eigen vectors: [[-0.00714129 -0.25882625 -0.96291048 0.07590379]\n", - " [-0.16752877 0.01420914 0.07490378 0.98291487]\n", - " [ 0.08940243 0.96188851 -0.25756234 0.02096037]\n", - " [ 0.98177916 -0.08704919 0.02923144 0.16636599]]\n", - "This is the 26 run out of 81 run.\n", - "The code has run 30.9437 seconds.\n", - "Estimated remaining time: 65.4578 seconds\n", - "=======This is the 27 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.028896570205688477\n", - "Solve time with sequential_finite mode [s]: 0.6756200790405273\n", - "Existed information has been added.\n", - "FIM: [[ 23.89905083 1.52026241 -73.46002128 -9.45526764]\n", - " [ 1.52026241 21.13134384 -4.69740505 -121.82904749]\n", - " [ -73.46002128 -4.69740505 226.78345752 29.73401281]\n", - " [ -9.45526764 -121.82904749 29.73401281 711.59917289]]\n", - "Trace: 983.4130250768691\n", - "Determinant: 4410.834132929046\n", - "Condition number: 8189.667576299524\n", - "Minimal eigen value: 0.08968939508503097\n", - "Eigen values: [7.34526331e+02 2.48527605e+02 8.96893951e-02 2.69400023e-01]\n", - "Eigen vectors: [[-0.01985935 0.30766051 -0.94006123 0.14572408]\n", - " [-0.16841715 -0.0125818 0.15043878 0.97408703]\n", - " [ 0.06202987 -0.94926307 -0.30492062 0.04555583]\n", - " [ 0.98356167 0.06392443 0.02600921 0.16686409]]\n", - "This is the 27 run out of 81 run.\n", - "The code has run 32.1272 seconds.\n", - "Estimated remaining time: 64.2544 seconds\n", - "=======This is the 28 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.028621435165405273\n", - "Solve time with sequential_finite mode [s]: 0.7152180671691895\n", - "Existed information has been added.\n", - "FIM: [[ 2.63666749e+01 -4.78328720e-01 -7.76034062e+01 7.38942282e-01]\n", - " [-4.78328720e-01 2.20355114e+01 -2.15246494e+00 -1.29678865e+02]\n", - " [-7.76034062e+01 -2.15246494e+00 2.33904110e+02 1.62652394e+01]\n", - " [ 7.38942282e-01 -1.29678865e+02 1.62652394e+01 7.65503120e+02]]\n", - "Trace: 1047.8094164655915\n", - "Determinant: 2550.6779386114267\n", - "Condition number: 35005.66404714245\n", - "Minimal eigen value: 0.02250953484889567\n", - "Eigen values: [7.87961215e+02 2.59271028e+02 5.54664378e-01 2.25095348e-02]\n", - "Eigen vectors: [[ 0.0019813 0.31607309 0.91092591 0.26515629]\n", - " [ 0.16693984 -0.00739985 -0.27352201 0.94723917]\n", - " [-0.02985738 -0.9482894 0.30416151 0.08568275]\n", - " [-0.98551291 0.02811159 -0.05371657 0.15839371]]\n", - "This is the 28 run out of 81 run.\n", - "The code has run 33.2460 seconds.\n", - "Estimated remaining time: 62.9300 seconds\n", - "=======This is the 29 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.036148786544799805\n", - "Solve time with sequential_finite mode [s]: 0.8208673000335693\n", - "Existed information has been added.\n", - "FIM: [[ 2.48097520e+01 -2.75509795e-02 -7.59106474e+01 -1.50263004e+00]\n", - " [-2.75509795e-02 2.21160084e+01 -2.26303992e+00 -1.30074929e+02]\n", - " [-7.59106474e+01 -2.26303992e+00 2.33660667e+02 1.68490341e+01]\n", - " [-1.50263004e+00 -1.30074929e+02 1.68490341e+01 7.67435715e+02]]\n", - "Trace: 1048.0221424345166\n", - "Determinant: 115.41100876180494\n", - "Condition number: 247905.28859408406\n", - "Minimal eigen value: 0.0031867910804897833\n", - "Eigen values: [7.90022362e+02 2.57818790e+02 1.77803249e-01 3.18679108e-03]\n", - "Eigen vectors: [[-0.00502504 -0.30943199 0.76146687 0.56955667]\n", - " [-0.16701579 0.0076744 -0.58923609 0.79047306]\n", - " [ 0.03120857 0.95040531 0.24935552 0.18324193]\n", - " [ 0.98544736 -0.03037601 -0.10387907 0.13107225]]\n", - "This is the 29 run out of 81 run.\n", - "The code has run 34.5311 seconds.\n", - "Estimated remaining time: 61.9178 seconds\n", - "=======This is the 30 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.032620906829833984\n", - "Solve time with sequential_finite mode [s]: 0.7267110347747803\n", - "Existed information has been added.\n", - "FIM: [[ 2.46712626e+01 7.25863326e-02 -7.55371293e+01 -1.52581788e+00]\n", - " [ 7.25863326e-02 2.22333673e+01 -2.53474131e+00 -1.31208851e+02]\n", - " [-7.55371293e+01 -2.53474131e+00 2.32622185e+02 1.71069454e+01]\n", - " [-1.52581788e+00 -1.31208851e+02 1.71069454e+01 7.76018820e+02]]\n", - "Trace: 1055.5456349034139\n", - "Determinant: 195.54239366391906\n", - "Condition number: 125989.63106640303\n", - "Minimal eigen value: 0.006339823995470618\n", - "Eigen values: [7.98752086e+02 2.56636745e+02 1.50464097e-01 6.33982400e-03]\n", - "Eigen vectors: [[-0.00500212 0.30930142 -0.80666298 0.50358956]\n", - " [-0.16662522 -0.00670952 0.52104081 0.83708273]\n", - " [ 0.03119308 -0.95045054 -0.26322263 0.16243343]\n", - " [ 0.98551408 0.03051876 0.09233175 0.13894404]]\n", - "This is the 30 run out of 81 run.\n", - "The code has run 35.7051 seconds.\n", - "Estimated remaining time: 60.6987 seconds\n", - "=======This is the 31 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.032338619232177734\n", - "Solve time with sequential_finite mode [s]: 0.786848783493042\n", - "Existed information has been added.\n", - "FIM: [[ 2.47009275e+01 2.27519711e-01 -7.57816718e+01 -2.81206176e+00]\n", - " [ 2.27519711e-01 2.24258987e+01 -3.16221873e+00 -1.32942672e+02]\n", - " [-7.57816718e+01 -3.16221873e+00 2.33917726e+02 2.21933227e+01]\n", - " [-2.81206176e+00 -1.32942672e+02 2.21933227e+01 7.89718105e+02]]\n", - "Trace: 1070.7626569789397\n", - "Determinant: 379.5441787035131\n", - "Condition number: 64837.23892867179\n", - "Minimal eigen value: 0.012539226760064661\n", - "Eigen values: [8.13008841e+02 2.57596747e+02 1.44529312e-01 1.25392268e-02]\n", - "Eigen vectors: [[-0.00737269 0.3087382 -0.83241093 0.46012869]\n", - " [-0.16585097 -0.00898232 0.47562942 0.86382257]\n", - " [ 0.03963252 -0.95030381 -0.2714524 0.14719216]\n", - " [ 0.98532653 0.03902203 0.08474839 0.14292176]]\n", - "This is the 31 run out of 81 run.\n", - "The code has run 37.0380 seconds.\n", - "Estimated remaining time: 59.7387 seconds\n", - "=======This is the 32 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03168630599975586\n", - "Solve time with sequential_finite mode [s]: 0.7263829708099365\n", - "Existed information has been added.\n", - "FIM: [[ 2.45816529e+01 2.63605108e-01 -7.54125550e+01 -3.33735855e+00]\n", - " [ 2.63605108e-01 2.25086141e+01 -2.92591124e+00 -1.31144788e+02]\n", - " [-7.54125550e+01 -2.92591124e+00 2.32462710e+02 2.08397248e+01]\n", - " [-3.33735855e+00 -1.31144788e+02 2.08397248e+01 7.68106968e+02]]\n", - "Trace: 1047.659944145201\n", - "Determinant: 286.9494932430949\n", - "Condition number: 110125.23964527194\n", - "Minimal eigen value: 0.007185852253599833\n", - "Eigen values: [7.91343701e+02 2.56112027e+02 7.18585225e-03 1.97029863e-01]\n", - "Eigen vectors: [[-0.00815192 0.30894985 -0.70754845 -0.6354988 ]\n", - " [-0.16816154 -0.009262 -0.65983267 0.73229554]\n", - " [ 0.03870805 -0.95026091 -0.22802521 -0.20859146]\n", - " [ 0.98496545 0.03831989 -0.10954693 0.12796142]]\n", - "This is the 32 run out of 81 run.\n", - "The code has run 38.1992 seconds.\n", - "Estimated remaining time: 58.4925 seconds\n", - "=======This is the 33 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03102254867553711\n", - "Solve time with sequential_finite mode [s]: 0.7238359451293945\n", - "Existed information has been added.\n", - "FIM: [[ 2.45100454e+01 4.30073948e-01 -7.52663866e+01 -4.35369700e+00]\n", - " [ 4.30073948e-01 2.26609519e+01 -3.29144891e+00 -1.31269483e+02]\n", - " [-7.52663866e+01 -3.29144891e+00 2.32118631e+02 2.29778587e+01]\n", - " [-4.35369700e+00 -1.31269483e+02 2.29778587e+01 7.65641206e+02]]\n", - "Trace: 1044.930834793472\n", - "Determinant: 496.6419223054887\n", - "Condition number: 70507.39341843015\n", - "Minimal eigen value: 0.011193050970364205\n", - "Eigen values: [7.89192848e+02 2.55506750e+02 1.11930510e-02 2.20043922e-01]\n", - "Eigen vectors: [[-0.00992894 0.30875558 -0.77134772 -0.55641181]\n", - " [-0.16881443 -0.01014033 -0.57783855 0.79843689]\n", - " [ 0.04295365 -0.95012286 -0.24881934 -0.18305864]\n", - " [ 0.98466141 0.04282185 -0.09599081 0.13926221]]\n", - "This is the 33 run out of 81 run.\n", - "The code has run 39.3538 seconds.\n", - "Estimated remaining time: 57.2418 seconds\n", - "=======This is the 34 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03150057792663574\n", - "Solve time with sequential_finite mode [s]: 0.7320268154144287\n", - "Existed information has been added.\n", - "FIM: [[ 33.51785016 -2.98821138 -69.0223585 11.04638454]\n", - " [ -2.98821138 22.74095819 -3.57432507 -130.88577332]\n", - " [ -69.0223585 -3.57432507 231.6544122 24.63641478]\n", - " [ 11.04638454 -130.88577332 24.63641478 760.1649658 ]]\n", - "Trace: 1048.0781863510342\n", - "Determinant: 307922.5069996771\n", - "Condition number: 5780.072726758567\n", - "Minimal eigen value: 0.13562471942232104\n", - "Eigen values: [7.83920742e+02 2.52554130e+02 1.14676902e+01 1.35624719e-01]\n", - "Eigen vectors: [[-0.01115519 -0.30215209 0.95059117 0.07039965]\n", - " [ 0.16953378 0.01020018 -0.06757936 0.98315171]\n", - " [-0.04362107 0.9524859 0.30088554 0.01832206]\n", - " [-0.98449533 -0.03702264 -0.0357401 0.16769289]]\n", - "This is the 34 run out of 81 run.\n", - "The code has run 40.5291 seconds.\n", - "Estimated remaining time: 56.0255 seconds\n", - "=======This is the 35 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.0310821533203125\n", - "Solve time with sequential_finite mode [s]: 0.7441203594207764\n", - "Existed information has been added.\n", - "FIM: [[ 2.43682533e+01 7.08134996e-01 -7.52801445e+01 -6.04109673e+00]\n", - " [ 7.08134996e-01 2.28081214e+01 -4.79195860e+00 -1.30377899e+02]\n", - " [-7.52801445e+01 -4.79195860e+00 2.34178488e+02 3.03360117e+01]\n", - " [-6.04109673e+00 -1.30377899e+02 3.03360117e+01 7.54080640e+02]]\n", - "Trace: 1035.4355027698957\n", - "Determinant: 621.2064660113449\n", - "Condition number: 96341.22002244192\n", - "Minimal eigen value: 0.00808071502925893\n", - "Eigen values: [7.78505945e+02 2.56536553e+02 8.08071503e-03 3.84923997e-01]\n", - "Eigen vectors: [[-0.01385178 0.30647871 -0.77456544 -0.55310696]\n", - " [-0.17008111 -0.01219761 -0.57380146 0.80104651]\n", - " [ 0.05823077 -0.95000308 -0.24838451 -0.18002351]\n", - " [ 0.98361055 0.05844803 -0.09542219 0.14138144]]\n", - "This is the 35 run out of 81 run.\n", - "The code has run 41.7949 seconds.\n", - "Estimated remaining time: 54.9304 seconds\n", - "=======This is the 36 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 2.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.031955718994140625\n", - "Solve time with sequential_finite mode [s]: 0.7806301116943359\n", - "Existed information has been added.\n", - "FIM: [[ 24.31860311 0.86015905 -74.832261 -6.87730375]\n", - " [ 0.86015905 22.83732949 -4.24663822 -129.66361803]\n", - " [ -74.832261 -4.24663822 231.03290049 28.18780763]\n", - " [ -6.87730375 -129.66361803 28.18780763 747.20287423]]\n", - "Trace: 1025.3917073233927\n", - "Determinant: 1571.5957241418107\n", - "Condition number: 35457.26561272755\n", - "Minimal eigen value: 0.02175511724853838\n", - "Eigen values: [7.71376971e+02 2.53623729e+02 2.17551172e-02 3.69252000e-01]\n", - "Eigen vectors: [[-0.01473126 0.3082026 -0.88848382 -0.33969198]\n", - " [-0.17072397 -0.0124258 -0.35313669 0.919779 ]\n", - " [ 0.05469741 -0.94963298 -0.2871477 -0.11292298]\n", - " [ 0.98368923 0.05526267 -0.0586274 0.16082398]]\n", - "This is the 36 run out of 81 run.\n", - "The code has run 43.0165 seconds.\n", - "Estimated remaining time: 53.7706 seconds\n", - "=======This is the 37 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.04721331596374512\n", - "Solve time with sequential_finite mode [s]: 1.002899169921875\n", - "Existed information has been added.\n", - "FIM: [[ 2.56354905e+01 -7.63600569e-01 -1.43602418e+01 2.30271230e+00]\n", - " [-7.63600569e-01 2.38074281e+01 -2.56594966e+02 -1.38806634e+02]\n", - " [-1.43602418e+01 -2.56594966e+02 1.78739967e+04 1.32094490e+03]\n", - " [ 2.30271230e+00 -1.38806634e+02 1.32094490e+03 8.12629315e+02]]\n", - "Trace: 18736.068972222492\n", - "Determinant: 9894704.582551854\n", - "Condition number: 611530.8176743718\n", - "Minimal eigen value: 0.029401018758079003\n", - "Eigen values: [1.79796290e+04 7.30797395e+02 2.56131348e+01 2.94010188e-02]\n", - "Eigen vectors: [[ 7.86897547e-04 4.98200143e-03 9.99864839e-01 1.56481085e-02]\n", - " [ 1.48404290e-02 -1.64657953e-01 -1.46244077e-02 9.86130644e-01]\n", - " [-9.96933393e-01 -7.82218957e-02 1.14368664e-03 1.95895726e-03]\n", - " [-7.68306772e-02 9.83231546e-01 -7.42438726e-03 1.65220012e-01]]\n", - "This is the 37 run out of 81 run.\n", - "The code has run 44.6004 seconds.\n", - "Estimated remaining time: 53.0383 seconds\n", - "=======This is the 38 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.030981779098510742\n", - "Solve time with sequential_finite mode [s]: 0.7269408702850342\n", - "Existed information has been added.\n", - "FIM: [[ 25.85464624 -0.9968866 -77.98615163 2.37616197]\n", - " [ -0.9968866 24.32610464 2.15270154 -140.76921726]\n", - " [ -77.98615163 2.15270154 239.1852101 -3.18660863]\n", - " [ 2.37616197 -140.76921726 -3.18660863 819.85760605]]\n", - "Trace: 1109.2235670235546\n", - "Determinant: 11273.888760365626\n", - "Condition number: 6662.724161884037\n", - "Minimal eigen value: 0.12668440763941244\n", - "Eigen values: [8.44063264e+02 2.64635211e+02 3.98407910e-01 1.26684408e-01]\n", - "Eigen vectors: [[-0.00366568 -0.31039536 -0.92496208 0.21928621]\n", - " [ 0.1692633 0.00507511 0.22510204 0.95950677]\n", - " [ 0.00626703 0.95055975 -0.30357961 0.065087 ]\n", - " [-0.98554412 0.0080707 0.04017028 0.16438975]]\n", - "This is the 38 run out of 81 run.\n", - "The code has run 45.7717 seconds.\n", - "Estimated remaining time: 51.7943 seconds\n", - "=======This is the 39 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.02993154525756836\n", - "Solve time with sequential_finite mode [s]: 0.7033448219299316\n", - "Existed information has been added.\n", - "FIM: [[ 40.9187031 -7.40740508 -89.67955887 22.4681434 ]\n", - " [ -7.40740508 24.28908008 5.3295444 -135.39921874]\n", - " [ -89.67955887 5.3295444 246.37524498 -11.96813781]\n", - " [ 22.4681434 -135.39921874 -11.96813781 778.41779366]]\n", - "Trace: 1090.000821809422\n", - "Determinant: 13438.22120838942\n", - "Condition number: 101119.6421912765\n", - "Minimal eigen value: 0.00794254487601496\n", - "Eigen values: [8.03147296e+02 2.79303157e+02 7.54242607e+00 7.94254488e-03]\n", - "Eigen vectors: [[-0.03400476 -0.34869436 0.89410111 0.27899665]\n", - " [ 0.17160853 0.00825313 -0.28455326 0.94313935]\n", - " [ 0.02827519 0.93632951 0.33852961 0.08879896]\n", - " [-0.98417209 0.04038772 -0.07078383 0.15736511]]\n", - "This is the 39 run out of 81 run.\n", - "The code has run 46.9846 seconds.\n", - "Estimated remaining time: 50.5988 seconds\n", - "=======This is the 40 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.029917240142822266\n", - "Solve time with sequential_finite mode [s]: 0.6798861026763916\n", - "Existed information has been added.\n", - "FIM: [[ 2.56024917e+01 -6.26486593e-03 -7.81243081e+01 -1.71217931e+00]\n", - " [-6.26486593e-03 2.47881852e+01 -2.24701876e+00 -1.40799043e+02]\n", - " [-7.81243081e+01 -2.24701876e+00 2.39530845e+02 1.63370282e+01]\n", - " [-1.71217931e+00 -1.40799043e+02 1.63370282e+01 8.08539287e+02]]\n", - "Trace: 1098.4608085889647\n", - "Determinant: 3165.9087707634512\n", - "Condition number: 17921.889199470388\n", - "Minimal eigen value: 0.046509706698097605\n", - "Eigen values: [8.33541810e+02 2.64563817e+02 4.65097067e-02 3.08671803e-01]\n", - "Eigen vectors: [[-0.0048286 -0.31044178 0.85791967 -0.40936101]\n", - " [-0.17151952 0.00732143 0.42562094 0.88846737]\n", - " [ 0.02836765 0.9501629 0.2790674 -0.13604087]\n", - " [ 0.98476038 -0.02761801 0.0702997 0.15665944]]\n", - "This is the 40 run out of 81 run.\n", - "The code has run 48.0733 seconds.\n", - "Estimated remaining time: 49.2751 seconds\n", - "=======This is the 41 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.028844118118286133\n", - "Solve time with sequential_finite mode [s]: 0.6885788440704346\n", - "Existed information has been added.\n", - "FIM: [[ 2.56407522e+01 -1.92833222e-01 -7.81363451e+01 -1.40020652e+00]\n", - " [-1.92833222e-01 2.44100547e+01 -2.14324113e+00 -1.41416375e+02]\n", - " [-7.81363451e+01 -2.14324113e+00 2.39566902e+02 1.80776045e+01]\n", - " [-1.40020652e+00 -1.41416375e+02 1.80776045e+01 8.23512624e+02]]\n", - "Trace: 1113.130332957875\n", - "Determinant: 342.7395962545575\n", - "Condition number: 127695.11682451204\n", - "Minimal eigen value: 0.006643639008836553\n", - "Eigen values: [8.48360259e+02 2.64533552e+02 6.64363901e-03 2.29877875e-01]\n", - "Eigen vectors: [[-0.00452683 -0.31057743 0.67197054 -0.67229216]\n", - " [-0.16915455 0.00898423 0.69855889 0.69521327]\n", - " [ 0.03042849 0.95005607 0.21664375 -0.22256023]\n", - " [ 0.98510931 -0.02923024 0.11634665 0.12316127]]\n", - "This is the 41 run out of 81 run.\n", - "The code has run 49.1767 seconds.\n", - "Estimated remaining time: 47.9772 seconds\n", - "=======This is the 42 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03030681610107422\n", - "Solve time with sequential_finite mode [s]: 0.7391736507415771\n", - "Existed information has been added.\n", - "FIM: [[ 2.53878355e+01 2.86687886e-01 -7.73099937e+01 -2.27423849e+00]\n", - " [ 2.86687886e-01 2.45590272e+01 -3.87347432e+00 -1.43394596e+02]\n", - " [-7.73099937e+01 -3.87347432e+00 2.37286690e+02 2.34082511e+01]\n", - " [-2.27423849e+00 -1.43394596e+02 2.34082511e+01 8.40737268e+02]]\n", - "Trace: 1127.9708203103974\n", - "Determinant: 2578.321483450864\n", - "Condition number: 14284.50485182189\n", - "Minimal eigen value: 0.06063388916355049\n", - "Eigen values: [8.66125084e+02 2.61597427e+02 1.87675490e-01 6.06338892e-02]\n", - "Eigen vectors: [[-0.00625942 0.31048948 -0.79428513 0.52217644]\n", - " [-0.16801582 -0.00701432 0.54052446 0.82435113]\n", - " [ 0.03847119 -0.94979617 -0.25976494 0.17008638]\n", - " [ 0.98501344 0.03787234 0.0972965 0.13728659]]\n", - "This is the 42 run out of 81 run.\n", - "The code has run 50.4279 seconds.\n", - "Estimated remaining time: 46.8259 seconds\n", - "=======This is the 43 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.035726070404052734\n", - "Solve time with sequential_finite mode [s]: 0.8828916549682617\n", - "Existed information has been added.\n", - "FIM: [[ 25.29644528 -1.39901089 -76.47130089 1.15549497]\n", - " [ -1.39901089 51.74710155 -7.07830628 -169.01256338]\n", - " [ -76.47130089 -7.07830628 235.60564714 20.54111396]\n", - " [ 1.15549497 -169.01256338 20.54111396 811.80937239]]\n", - "Trace: 1124.4585663486496\n", - "Determinant: 444829.4738698182\n", - "Condition number: 6755.9743106532605\n", - "Minimal eigen value: 0.12558637096246314\n", - "Eigen values: [8.48458296e+02 2.59806353e+02 1.25586371e-01 1.60683313e+01]\n", - "Eigen vectors: [[-0.00155957 0.30997843 0.94355873 -0.11665271]\n", - " [-0.2076877 0.0016383 0.11915265 0.97090977]\n", - " [ 0.03535826 -0.95009006 0.30863316 -0.02870962]\n", - " [ 0.97755469 0.03520746 0.01565677 0.20712827]]\n", - "This is the 43 run out of 81 run.\n", - "The code has run 51.8204 seconds.\n", - "Estimated remaining time: 45.7947 seconds\n", - "=======This is the 44 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03390192985534668\n", - "Solve time with sequential_finite mode [s]: 0.788132905960083\n", - "Existed information has been added.\n", - "FIM: [[ 2.51773354e+01 2.09962773e-01 -7.77554478e+01 -3.81767135e+00]\n", - " [ 2.09962773e-01 2.48803636e+01 -3.25608758e+00 -1.39714366e+02]\n", - " [-7.77554478e+01 -3.25608758e+00 2.41149153e+02 2.35807496e+01]\n", - " [-3.81767135e+00 -1.39714366e+02 2.35807496e+01 7.96190493e+02]]\n", - "Trace: 1087.3973449903585\n", - "Determinant: 194.68439293078816\n", - "Condition number: 392310.1779517514\n", - "Minimal eigen value: 0.002094656114355597\n", - "Eigen values: [8.21754913e+02 2.65213876e+02 2.09465611e-03 4.26461521e-01]\n", - "Eigen vectors: [[-0.00887324 0.30727553 -0.86095356 -0.40529247]\n", - " [-0.1727029 -0.01099721 -0.42124473 0.89028403]\n", - " [ 0.0421224 -0.95065016 -0.27646239 -0.13438202]\n", - " [ 0.98403286 0.04153413 -0.06985983 0.15834722]]\n", - "This is the 44 run out of 81 run.\n", - "The code has run 53.0716 seconds.\n", - "Estimated remaining time: 44.6284 seconds\n", - "=======This is the 45 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03305625915527344\n", - "Solve time with sequential_finite mode [s]: 0.8216719627380371\n", - "Existed information has been added.\n", - "FIM: [[ 2.51058391e+01 4.28877461e-01 -7.68560528e+01 -5.02180984e+00]\n", - " [ 4.28877461e-01 2.49224231e+01 -3.59147134e+00 -1.38685801e+02]\n", - " [-7.68560528e+01 -3.59147134e+00 2.36352927e+02 2.53766406e+01]\n", - " [-5.02180984e+00 -1.38685801e+02 2.53766406e+01 7.86286510e+02]]\n", - "Trace: 1072.6676988182517\n", - "Determinant: 3266.1306706039145\n", - "Condition number: 26449.20034258305\n", - "Minimal eigen value: 0.030700113022235118\n", - "Eigen values: [8.11993440e+02 2.60139903e+02 3.07001130e-02 5.03656087e-01]\n", - "Eigen vectors: [[-0.01085525 0.30955833 -0.88858342 -0.33834199]\n", - " [-0.17354736 -0.01184342 -0.352169 0.9196293 ]\n", - " [ 0.04589752 -0.94971075 -0.28805319 -0.11387831]\n", - " [ 0.98369553 0.04563842 -0.05849663 0.16382425]]\n", - "This is the 45 run out of 81 run.\n", - "The code has run 54.3597 seconds.\n", - "Estimated remaining time: 43.4877 seconds\n", - "=======This is the 46 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.02976202964782715\n", - "Solve time with sequential_finite mode [s]: 0.733579158782959\n", - "Existed information has been added.\n", - "FIM: [[ 2.86404874e+01 -5.39885458e-02 -8.24751971e+01 1.02660661e+01]\n", - " [-5.39885458e-02 2.34734529e+01 -1.08855216e+00 -1.39636990e+02]\n", - " [-8.24751971e+01 -1.08855216e+00 2.48080831e+02 -1.23820162e+00]\n", - " [ 1.02660661e+01 -1.39636990e+02 -1.23820162e+00 8.82404888e+02]]\n", - "Trace: 1182.5996601336103\n", - "Determinant: 46943.62375829849\n", - "Condition number: 10822.793058840984\n", - "Minimal eigen value: 0.08358834155683383\n", - "Eigen values: [9.04659323e+02 2.75604274e+02 8.35883416e-02 2.25247454e+00]\n", - "Eigen vectors: [[ 0.01187471 0.31653414 -0.72097807 0.61632438]\n", - " [-0.15649714 0.00715357 0.64208593 0.75045528]\n", - " [-0.00309463 -0.94853735 -0.23640612 0.21066435]\n", - " [ 0.98760218 -0.00564459 0.10967415 0.112168 ]]\n", - "This is the 46 run out of 81 run.\n", - "The code has run 55.6205 seconds.\n", - "Estimated remaining time: 42.3200 seconds\n", - "=======This is the 47 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03276658058166504\n", - "Solve time with sequential_finite mode [s]: 0.8173966407775879\n", - "Existed information has been added.\n", - "FIM: [[ 27.29143353 -1.76559438 -80.75339278 5.94689876]\n", - " [ -1.76559438 25.97283928 1.26678725 -147.71257835]\n", - " [ -80.75339278 1.26678725 248.43951414 1.72427468]\n", - " [ 5.94689876 -147.71257835 1.72427468 848.49029644]]\n", - "Trace: 1150.194083382693\n", - "Determinant: 41610.139458382255\n", - "Condition number: 4825.687939371192\n", - "Minimal eigen value: 0.18116776328581904\n", - "Eigen values: [8.74259090e+02 2.74797810e+02 9.56015260e-01 1.81167763e-01]\n", - "Eigen vectors: [[ 0.00713686 0.31016741 -0.91348386 0.26323465]\n", - " [-0.17155697 -0.00592297 0.26969204 0.94752273]\n", - " [ 0.00144612 -0.95066164 -0.29982489 0.07965798]\n", - " [ 0.98514729 -0.00188294 0.05402293 0.16298097]]\n", - "This is the 47 run out of 81 run.\n", - "The code has run 56.9107 seconds.\n", - "Estimated remaining time: 41.1694 seconds\n", - "=======This is the 48 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03305792808532715\n", - "Solve time with sequential_finite mode [s]: 0.7727439403533936\n", - "Existed information has been added.\n", - "FIM: [[ 31.15473954 -6.30865478 -94.49169403 15.92276654]\n", - " [ -6.30865478 27.34911835 17.29586509 -138.31350351]\n", - " [ -94.49169403 17.29586509 287.64854489 -39.04908498]\n", - " [ 15.92276654 -138.31350351 -39.04908498 767.646592 ]]\n", - "Trace: 1113.79899477974\n", - "Determinant: 44801.25855781225\n", - "Condition number: 8900.603448154789\n", - "Minimal eigen value: 0.08952541399929309\n", - "Eigen values: [7.96830209e+02 3.14884796e+02 8.95254140e-02 1.99446489e+00]\n", - "Eigen vectors: [[-0.03260468 -0.30982252 0.94995022 -0.02327047]\n", - " [ 0.17830283 0.01674564 0.03566597 0.98318646]\n", - " [ 0.0872295 0.94562678 0.31034853 -0.04318334]\n", - " [-0.97955911 0.09756839 0.00250936 0.17589218]]\n", - "This is the 48 run out of 81 run.\n", - "The code has run 58.1764 seconds.\n", - "Estimated remaining time: 39.9962 seconds\n", - "=======This is the 49 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03191828727722168\n", - "Solve time with sequential_finite mode [s]: 0.7759759426116943\n", - "Existed information has been added.\n", - "FIM: [[ 4.90610579e+01 5.19330040e+00 -8.96910964e+01 -2.82901596e+01]\n", - " [ 5.19330040e+00 2.64644879e+01 3.09226964e-01 -1.51797231e+02]\n", - " [-8.96910964e+01 3.09226964e-01 2.46298269e+02 4.36595753e+00]\n", - " [-2.82901596e+01 -1.51797231e+02 4.36595753e+00 8.75955800e+02]]\n", - "Trace: 1197.7796153563518\n", - "Determinant: 419989.0353803481\n", - "Condition number: 7462.197091498404\n", - "Minimal eigen value: 0.12105225902933656\n", - "Eigen values: [9.03315815e+02 2.80657629e+02 1.36851193e+01 1.21052259e-01]\n", - "Eigen vectors: [[-0.03482362 0.35855485 0.93185818 -0.04319801]\n", - " [-0.17066128 -0.00700575 0.04195221 0.98441133]\n", - " [ 0.01121665 -0.93322079 0.3585722 -0.01997799]\n", - " [ 0.98465031 0.02209737 0.0361431 0.16931968]]\n", - "This is the 49 run out of 81 run.\n", - "The code has run 59.4037 seconds.\n", - "Estimated remaining time: 38.7943 seconds\n", - "=======This is the 50 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.031647682189941406\n", - "Solve time with sequential_finite mode [s]: 0.8299469947814941\n", - "Existed information has been added.\n", - "FIM: [[ 2.64353032e+01 -1.13174151e+00 -8.01383390e+01 3.63161039e+00]\n", - " [-1.13174151e+00 2.69630126e+01 -4.87088294e-01 -1.53636048e+02]\n", - " [-8.01383390e+01 -4.87088294e-01 2.44894908e+02 8.74510817e+00]\n", - " [ 3.63161039e+00 -1.53636048e+02 8.74510817e+00 8.81673633e+02]]\n", - "Trace: 1179.9668564281294\n", - "Determinant: 1102.931372108914\n", - "Condition number: 63651.94454179821\n", - "Minimal eigen value: 0.014274090633934974\n", - "Eigen values: [9.08573625e+02 2.71065220e+02 1.42740906e-02 3.13737273e-01]\n", - "Eigen vectors: [[-0.0031192 -0.31145196 -0.70961018 -0.63201372]\n", - " [ 0.17167604 0.00599745 -0.65709783 0.73397126]\n", - " [-0.0127293 0.95018772 -0.22962686 -0.21036341]\n", - " [-0.98506628 -0.01024715 -0.10930386 0.13263517]]\n", - "This is the 50 run out of 81 run.\n", - "The code has run 60.8286 seconds.\n", - "Estimated remaining time: 37.7137 seconds\n", - "=======This is the 51 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.030040502548217773\n", - "Solve time with sequential_finite mode [s]: 0.7713899612426758\n", - "Existed information has been added.\n", - "FIM: [[ 2.65856399e+01 -1.12051573e+00 -8.02845266e+01 2.71700358e+00]\n", - " [-1.12051573e+00 2.72664323e+01 -6.38336240e-01 -1.52875919e+02]\n", - " [-8.02845266e+01 -6.38336240e-01 2.44629654e+02 1.10336364e+01]\n", - " [ 2.71700358e+00 -1.52875919e+02 1.10336364e+01 8.67308212e+02]]\n", - "Trace: 1165.789938809861\n", - "Determinant: 3094.9673066115984\n", - "Condition number: 31215.32947883929\n", - "Minimal eigen value: 0.02865427360990852\n", - "Eigen values: [8.94452592e+02 2.70862873e+02 2.86542736e-02 4.45820316e-01]\n", - "Eigen vectors: [[-0.00176456 -0.3123641 -0.77090014 -0.55510227]\n", - " [ 0.17360221 0.00782347 -0.57779819 0.79746493]\n", - " [-0.01667173 0.94982496 -0.25019598 -0.18696679]\n", - " [-0.98467315 -0.01414263 -0.09625076 0.14475691]]\n", - "This is the 51 run out of 81 run.\n", - "The code has run 62.0446 seconds.\n", - "Estimated remaining time: 36.4968 seconds\n", - "=======This is the 52 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.031218528747558594\n", - "Solve time with sequential_finite mode [s]: 0.7507572174072266\n", - "Existed information has been added.\n", - "FIM: [[ 2.62530417e+01 -6.81649478e-01 -7.97315556e+01 1.76346286e+00]\n", - " [-6.81649478e-01 2.71970736e+01 -1.49894202e+00 -1.51307553e+02]\n", - " [-7.97315556e+01 -1.49894202e+00 2.43858423e+02 1.17416796e+01]\n", - " [ 1.76346286e+00 -1.51307553e+02 1.17416796e+01 8.54491109e+02]]\n", - "Trace: 1151.7996474006118\n", - "Determinant: 5663.720041224449\n", - "Condition number: 17507.868840332823\n", - "Minimal eigen value: 0.05034966475144846\n", - "Eigen values: [8.81515327e+02 2.69760933e+02 5.03496648e-02 4.73038264e-01]\n", - "Eigen vectors: [[-4.45901613e-04 -3.11248266e-01 -8.53020235e-01 -4.18904281e-01]\n", - " [ 1.74397037e-01 5.44095488e-03 -4.35709949e-01 8.83013539e-01]\n", - " [-1.84826099e-02 9.50165729e-01 -2.78191520e-01 -1.39473863e-01]\n", - " [-9.84501837e-01 -1.67332039e-02 -7.15737169e-02 1.59227307e-01]]\n", - "This is the 52 run out of 81 run.\n", - "The code has run 63.2530 seconds.\n", - "Estimated remaining time: 35.2757 seconds\n", - "=======This is the 53 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.033196210861206055\n", - "Solve time with sequential_finite mode [s]: 0.8467848300933838\n", - "Existed information has been added.\n", - "FIM: [[ 2.61335233e+01 -1.47456617e-01 -7.94666607e+01 -1.18998643e+00]\n", - " [-1.47456617e-01 3.01216967e+01 -3.10862430e+00 -1.55952949e+02]\n", - " [-7.94666607e+01 -3.10862430e+00 2.43199077e+02 1.87268405e+01]\n", - " [-1.18998643e+00 -1.55952949e+02 1.87268405e+01 8.45956685e+02]]\n", - "Trace: 1145.410981884344\n", - "Determinant: 25734.91904058263\n", - "Condition number: 10961.642908160582\n", - "Minimal eigen value: 0.07985451117733051\n", - "Eigen values: [8.75336636e+02 2.68623914e+02 7.98545112e-02 1.37057742e+00]\n", - "Eigen vectors: [[ 0.00420365 0.3111442 0.93379802 -0.17661506]\n", - " [ 0.18147157 -0.00712025 0.1842526 0.96595463]\n", - " [-0.03053929 -0.94987717 0.30538282 -0.05951515]\n", - " [-0.98291289 0.02952895 0.02852317 0.17943444]]\n", - "This is the 53 run out of 81 run.\n", - "The code has run 64.5762 seconds.\n", - "Estimated remaining time: 34.1157 seconds\n", - "=======This is the 54 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 3.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.030497074127197266\n", - "Solve time with sequential_finite mode [s]: 0.7514724731445312\n", - "Existed information has been added.\n", - "FIM: [[ 2.60362088e+01 -8.08189917e-02 -7.92469646e+01 -2.82900869e+00]\n", - " [-8.08189917e-02 2.73866249e+01 -2.82323277e+00 -1.49348444e+02]\n", - " [-7.92469646e+01 -2.82323277e+00 2.42638798e+02 2.20798386e+01]\n", - " [-2.82900869e+00 -1.49348444e+02 2.20798386e+01 8.32476799e+02]]\n", - "Trace: 1128.5384307874867\n", - "Determinant: 6060.842676049112\n", - "Condition number: 21101.707260406434\n", - "Minimal eigen value: 0.04076104137677641\n", - "Eigen values: [8.60127563e+02 2.67724398e+02 4.07610414e-02 6.45709126e-01]\n", - "Eigen vectors: [[ 0.00682032 0.31097542 0.88845266 -0.33749021]\n", - " [ 0.17652546 -0.01115594 0.35173389 0.9192375 ]\n", - " [-0.03685282 -0.94968033 0.28899425 -0.11502815]\n", - " [-0.98358229 0.03573676 0.05845903 0.16694703]]\n", - "This is the 54 run out of 81 run.\n", - "The code has run 65.8469 seconds.\n", - "Estimated remaining time: 32.9234 seconds\n", - "=======This is the 55 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03721785545349121\n", - "Solve time with sequential_finite mode [s]: 0.9534194469451904\n", - "Existed information has been added.\n", - "FIM: [[ 29.60378301 -3.64880935 -82.1205141 17.3821499 ]\n", - " [ -3.64880935 28.25082569 -1.65304953 -162.38464167]\n", - " [ -82.1205141 -1.65304953 246.59009731 13.00673328]\n", - " [ 17.3821499 -162.38464167 13.00673328 937.74651949]]\n", - "Trace: 1242.1912254944034\n", - "Determinant: 8235.25358683877\n", - "Condition number: 52178.723230765674\n", - "Minimal eigen value: 0.018520823206699656\n", - "Eigen values: [9.66392908e+02 2.74101178e+02 1.67861869e+00 1.85208232e-02]\n", - "Eigen vectors: [[ 0.0175227 0.31902178 -0.91629358 0.2415039 ]\n", - " [-0.17060093 -0.00440049 0.24663776 0.95396319]\n", - " [ 0.0161924 -0.94769308 -0.30897877 0.07840759]\n", - " [ 0.98505131 0.00914123 0.06409379 0.15963188]]\n", - "This is the 55 run out of 81 run.\n", - "The code has run 67.3787 seconds.\n", - "Estimated remaining time: 31.8518 seconds\n", - "=======This is the 56 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.04112410545349121\n", - "Solve time with sequential_finite mode [s]: 1.0404953956604004\n", - "Existed information has been added.\n", - "FIM: [[ 29.13378347 -3.68827598 -85.67220832 17.50822577]\n", - " [ -3.68827598 28.32116335 3.51348795 -162.88604956]\n", - " [ -85.67220832 3.51348795 257.98931391 -12.9717638 ]\n", - " [ 17.50822577 -162.88604956 -12.9717638 941.03708828]]\n", - "Trace: 1256.4813490105726\n", - "Determinant: 912.7679496352365\n", - "Condition number: 164715.73155698457\n", - "Minimal eigen value: 0.005888295314462867\n", - "Eigen values: [9.69894870e+02 2.86021802e+02 5.58787905e-01 5.88829531e-03]\n", - "Eigen vectors: [[-2.09386554e-02 -3.14583517e-01 -8.48154011e-01 4.25715347e-01]\n", - " [ 1.70542292e-01 2.13372880e-04 4.38592879e-01 8.82355692e-01]\n", - " [ 2.13074831e-02 9.48838489e-01 -2.83823447e-01 1.36732454e-01]\n", - " [-9.84897401e-01 2.72522853e-02 8.78368408e-02 1.46693939e-01]]\n", - "This is the 56 run out of 81 run.\n", - "The code has run 68.9701 seconds.\n", - "Estimated remaining time: 30.7902 seconds\n", - "=======This is the 57 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.040396928787231445\n", - "Solve time with sequential_finite mode [s]: 0.8618447780609131\n", - "Existed information has been added.\n", - "FIM: [[ 28.21160676 -2.76426085 -84.48457968 12.48910193]\n", - " [ -2.76426085 28.67140686 2.81759821 -163.95780792]\n", - " [ -84.48457968 2.81759821 256.04985242 -9.00283513]\n", - " [ 12.48910193 -163.95780792 -9.00283513 942.73620217]]\n", - "Trace: 1255.6690682194967\n", - "Determinant: 899.5862397542079\n", - "Condition number: 104633.90792587177\n", - "Minimal eigen value: 0.009285561152089453\n", - "Eigen values: [9.71584551e+02 2.83723786e+02 3.51445755e-01 9.28556115e-03]\n", - "Eigen vectors: [[-0.01486964 -0.31303863 -0.73613004 0.59991523]\n", - " [ 0.17136125 0.00149149 0.61993016 0.76571516]\n", - " [ 0.01482351 0.9495436 -0.24599553 0.19399333]\n", - " [-0.98498451 0.01927535 0.11526219 0.12707717]]\n", - "This is the 57 run out of 81 run.\n", - "The code has run 70.4020 seconds.\n", - "Estimated remaining time: 29.6429 seconds\n", - "=======This is the 58 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03253769874572754\n", - "Solve time with sequential_finite mode [s]: 0.8821244239807129\n", - "Existed information has been added.\n", - "FIM: [[ 27.99654367 -2.50720674 -83.95744864 10.76638431]\n", - " [ -2.50720674 29.02545718 2.15840468 -164.84973406]\n", - " [ -83.95744864 2.15840468 254.66927826 -4.87591645]\n", - " [ 10.76638431 -164.84973406 -4.87591645 942.561838 ]]\n", - "Trace: 1254.253117113336\n", - "Determinant: 1262.4188372615156\n", - "Condition number: 79135.07035293008\n", - "Minimal eigen value: 0.012277509770972304\n", - "Eigen values: [9.71581599e+02 2.82284330e+02 3.74910088e-01 1.22775098e-02]\n", - "Eigen vectors: [[-0.01246804 -0.31302898 -0.69309505 0.64921234]\n", - " [ 0.17231295 0.00284315 0.67105792 0.72109738]\n", - " [ 0.00867766 0.9496527 -0.23214693 0.21021954]\n", - " [-0.98492512 0.01282689 0.12413027 0.11979005]]\n", - "This is the 58 run out of 81 run.\n", - "The code has run 71.8260 seconds.\n", - "Estimated remaining time: 28.4827 seconds\n", - "=======This is the 59 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.0295255184173584\n", - "Solve time with sequential_finite mode [s]: 0.821347713470459\n", - "Existed information has been added.\n", - "FIM: [[ 31.08084592 -2.64606315 -85.78409829 24.13304834]\n", - " [ -2.64606315 24.96860705 3.01222947 -146.57008895]\n", - " [ -85.78409829 3.01222947 254.9288556 -17.56276948]\n", - " [ 24.13304834 -146.57008895 -17.56276948 910.38049007]]\n", - "Trace: 1221.3587986445489\n", - "Determinant: 195082.57282825402\n", - "Condition number: 3471.2645206027814\n", - "Minimal eigen value: 0.2694306677142919\n", - "Eigen values: [9.35265118e+02 2.83089530e+02 2.73472023e+00 2.69430668e-01]\n", - "Eigen vectors: [[ 0.02962926 0.31875535 -0.71339322 -0.62336766]\n", - " [-0.15900561 0.00679834 -0.65162869 0.74165426]\n", - " [-0.02990322 -0.9470827 -0.24121046 -0.20966083]\n", - " [ 0.98637981 -0.03719088 -0.09092671 0.13192441]]\n", - "This is the 59 run out of 81 run.\n", - "The code has run 73.0684 seconds.\n", - "Estimated remaining time: 27.2458 seconds\n", - "=======This is the 60 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.02926039695739746\n", - "Solve time with sequential_finite mode [s]: 0.7534558773040771\n", - "Existed information has been added.\n", - "FIM: [[ 2.60170105e+01 4.66132728e-02 -7.99753127e+01 -6.02253866e+00]\n", - " [ 4.66132728e-02 2.91524180e+01 1.41948537e+00 -1.64580611e+02]\n", - " [-7.99753127e+01 1.41948537e+00 2.49937133e+02 9.98684470e+00]\n", - " [-6.02253866e+00 -1.64580611e+02 9.98684470e+00 9.43462800e+02]]\n", - "Trace: 1248.5693621038638\n", - "Determinant: 39629.315565825484\n", - "Condition number: 2593.940785202103\n", - "Minimal eigen value: 0.3748603527055738\n", - "Eigen values: [9.72365558e+02 2.75434215e+02 3.74860353e-01 3.94729521e-01]\n", - "Eigen vectors: [[ 0.00746901 -0.3049802 -0.84440355 -0.4403566 ]\n", - " [ 0.17185003 0.01440783 0.45257308 -0.8748929 ]\n", - " [-0.01410573 0.95215493 -0.27623557 -0.12998432]\n", - " [-0.98499381 -0.01343435 0.07651251 -0.15411861]]\n", - "This is the 60 run out of 81 run.\n", - "The code has run 74.2355 seconds.\n", - "Estimated remaining time: 25.9824 seconds\n", - "=======This is the 61 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.03022480010986328\n", - "Solve time with sequential_finite mode [s]: 0.792309045791626\n", - "Existed information has been added.\n", - "FIM: [[ 2.73932956e+01 -1.45315426e+00 -8.26400147e+01 4.14239169e+00]\n", - " [-1.45315426e+00 2.99823513e+01 -2.01971150e-01 -1.64778081e+02]\n", - " [-8.26400147e+01 -2.01971150e-01 2.51485884e+02 9.12936736e+00]\n", - " [ 4.14239169e+00 -1.64778081e+02 9.12936736e+00 9.18955092e+02]]\n", - "Trace: 1227.8166235405777\n", - "Determinant: 4821.607225952014\n", - "Condition number: 28254.606105716935\n", - "Minimal eigen value: 0.033574827143427834\n", - "Eigen values: [9.48643516e+02 2.78596157e+02 3.35748271e-02 5.43375283e-01]\n", - "Eigen vectors: [[-0.00358131 -0.31265984 -0.82098703 -0.47771465]\n", - " [ 0.17654326 0.0074239 -0.49770378 0.84915741]\n", - " [-0.01251494 0.94978756 -0.26720836 -0.16231656]\n", - " [-0.9842068 -0.0096079 -0.08289106 0.15612089]]\n", - "This is the 61 run out of 81 run.\n", - "The code has run 75.5275 seconds.\n", - "Estimated remaining time: 24.7631 seconds\n", - "=======This is the 62 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.02875065803527832\n", - "Solve time with sequential_finite mode [s]: 0.6889393329620361\n", - "Existed information has been added.\n", - "FIM: [[ 2.72368171e+01 -1.05811250e+00 -8.29228311e+01 1.08839222e+00]\n", - " [-1.05811250e+00 3.01551609e+01 2.51873021e-01 -1.61777588e+02]\n", - " [-8.29228311e+01 2.51873021e-01 2.53598775e+02 1.00617879e+01]\n", - " [ 1.08839222e+00 -1.61777588e+02 1.00617879e+01 8.89054985e+02]]\n", - "Trace: 1200.0457384666845\n", - "Determinant: 8708.946711032246\n", - "Condition number: 19594.204732423943\n", - "Minimal eigen value: 0.046884371565880614\n", - "Eigen values: [2.80616321e+02 4.68843716e-02 7.20557871e-01 9.18661975e+02]\n", - "Eigen vectors: [[-3.11080962e-01 9.19547957e-01 -2.40125358e-01 3.59724438e-05]\n", - " [ 1.02928117e-02 2.51827061e-01 9.50997932e-01 -1.79109246e-01]\n", - " [ 9.50246500e-01 2.98843586e-01 -8.66299756e-02 1.48104168e-02]\n", - " [-1.24210620e-02 4.13182341e-02 1.74464874e-01 9.83717708e-01]]\n", - "This is the 62 run out of 81 run.\n", - "The code has run 76.6329 seconds.\n", - "Estimated remaining time: 23.4843 seconds\n", - "=======This is the 63 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.027898550033569336\n", - "Solve time with sequential_finite mode [s]: 0.6889338493347168\n", - "Existed information has been added.\n", - "FIM: [[ 406.15358918 43.20309607 -113.19330705 -185.87940915]\n", - " [ 43.20309607 30.22993438 -1.925958 -161.65135688]\n", - " [-113.19330705 -1.925958 249.89450558 18.23009001]\n", - " [-185.87940915 -161.65135688 18.23009001 885.7721295 ]]\n", - "Trace: 1572.0501586401688\n", - "Determinant: 29233800.47064496\n", - "Condition number: 2448.5406090698\n", - "Minimal eigen value: 0.40133898967133913\n", - "Eigen values: [9.82694814e+02 4.06696953e+02 1.82257053e+02 4.01338990e-01]\n", - "Eigen vectors: [[ 0.32613753 0.78676105 -0.52317345 -0.03051084]\n", - " [ 0.17219849 -0.0408336 -0.0114553 0.98414891]\n", - " [-0.07388043 -0.53121104 -0.84379972 -0.01893528]\n", - " [-0.92656553 0.31169617 -0.11899729 0.17367058]]\n", - "This is the 63 run out of 81 run.\n", - "The code has run 77.7373 seconds.\n", - "Estimated remaining time: 22.2106 seconds\n", - "=======This is the 64 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.028844594955444336\n", - "Solve time with sequential_finite mode [s]: 0.6783580780029297\n", - "Existed information has been added.\n", - "FIM: [[ 30.10831337 -4.38089911 -89.01520993 20.84820152]\n", - " [ -4.38089911 30.84742321 5.87838904 -175.41603021]\n", - " [ -89.01520993 5.87838904 267.46684531 -24.77881995]\n", - " [ 20.84820152 -175.41603021 -24.77881995 1003.34724089]]\n", - "Trace: 1331.7698227751184\n", - "Determinant: 1471.1365017676749\n", - "Condition number: 96018.55347085277\n", - "Minimal eigen value: 0.010783879951121737\n", - "Eigen values: [1.03545255e+03 2.95861178e+02 4.45307225e-01 1.07838800e-02]\n", - "Eigen vectors: [[-0.02433597 -0.31433599 -0.76180676 0.56590733]\n", - " [ 0.17215436 -0.00161883 0.58429789 0.79306761]\n", - " [ 0.03589061 0.94837744 -0.25645631 0.18309084]\n", - " [-0.98411509 0.04207722 0.11169869 0.13141693]]\n", - "This is the 64 run out of 81 run.\n", - "The code has run 78.8266 seconds.\n", - "Estimated remaining time: 20.9383 seconds\n", - "=======This is the 65 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.02795577049255371\n", - "Solve time with sequential_finite mode [s]: 0.6942675113677979\n", - "Existed information has been added.\n", - "FIM: [[ 30.17272223 -4.18884081 -89.1044638 19.88663874]\n", - " [ -4.18884081 31.08718816 5.16470204 -176.88847127]\n", - " [ -89.1044638 5.16470204 267.57625841 -21.10479652]\n", - " [ 19.88663874 -176.88847127 -21.10479652 1012.05397319]]\n", - "Trace: 1340.890141983125\n", - "Determinant: 1321.4261148300932\n", - "Condition number: 109894.64877839191\n", - "Minimal eigen value: 0.009500908211006515\n", - "Eigen values: [1.04409897e+03 2.96332142e+02 4.49528608e-01 9.50090821e-03]\n", - "Eigen vectors: [[-2.26980450e-02 -3.14783751e-01 -7.73173319e-01 5.50089999e-01]\n", - " [ 1.72131276e-01 -8.97195441e-04 5.67948383e-01 8.04863127e-01]\n", - " [ 3.05023907e-02 9.48461224e-01 -2.60267303e-01 1.78190464e-01]\n", - " [-9.84339995e-01 3.64923455e-02 1.09080631e-01 1.33583300e-01]]\n", - "This is the 65 run out of 81 run.\n", - "The code has run 80.0297 seconds.\n", - "Estimated remaining time: 19.6996 seconds\n", - "=======This is the 66 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.028339147567749023\n", - "Solve time with sequential_finite mode [s]: 0.6761775016784668\n", - "Existed information has been added.\n", - "FIM: [[ 29.70578588 -3.96366177 -88.06066451 18.49300057]\n", - " [ -3.96366177 31.44605229 4.83164929 -178.15508371]\n", - " [ -88.06066451 4.83164929 265.02716875 -18.9779616 ]\n", - " [ 18.49300057 -178.15508371 -18.9779616 1015.52667747]]\n", - "Trace: 1341.705684394212\n", - "Determinant: 1580.8043425176177\n", - "Condition number: 88544.29461432203\n", - "Minimal eigen value: 0.01183266607407673\n", - "Eigen values: [1.04771507e+03 2.93544392e+02 4.34388713e-01 1.18326661e-02]\n", - "Eigen vectors: [[-2.09149184e-02 -3.14345159e-01 -7.39141541e-01 5.95331395e-01]\n", - " [ 1.72772896e-01 -1.54984974e-04 6.14910329e-01 7.69437970e-01]\n", - " [ 2.72876756e-02 9.48736671e-01 -2.48853942e-01 1.92939956e-01]\n", - " [-9.84361456e-01 3.29518638e-02 1.16733825e-01 1.27749417e-01]]\n", - "This is the 66 run out of 81 run.\n", - "The code has run 81.1013 seconds.\n", - "Estimated remaining time: 18.4321 seconds\n", - "=======This is the 67 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.028170108795166016\n", - "Solve time with sequential_finite mode [s]: 0.6951816082000732\n", - "Existed information has been added.\n", - "FIM: [[ 28.87108922 -3.39947726 -86.34696928 15.77385656]\n", - " [ -3.39947726 32.57755647 3.70464473 -183.98458435]\n", - " [ -86.34696928 3.70464473 261.42379121 -13.62818592]\n", - " [ 15.77385656 -183.98458435 -13.62818592 1045.22040802]]\n", - "Trace: 1368.0928449213357\n", - "Determinant: 1502.3054334607007\n", - "Condition number: 83441.86522681009\n", - "Minimal eigen value: 0.012921000327894705\n", - "Eigen values: [1.07815237e+03 2.89555121e+02 3.72435190e-01 1.29210003e-02]\n", - "Eigen vectors: [[-1.69259699e-02 -3.13051279e-01 -6.95368669e-01 6.46664382e-01]\n", - " [ 1.73364986e-01 7.58607692e-04 6.68234591e-01 7.23468408e-01]\n", - " [ 1.90039920e-02 9.49436608e-01 -2.32955289e-01 2.09620632e-01]\n", - " [-9.84528792e-01 2.38421653e-02 1.25127056e-01 1.20323853e-01]]\n", - "This is the 67 run out of 81 run.\n", - "The code has run 82.2054 seconds.\n", - "Estimated remaining time: 17.1772 seconds\n", - "=======This is the 68 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.029484272003173828\n", - "Solve time with sequential_finite mode [s]: 0.683621883392334\n", - "Existed information has been added.\n", - "FIM: [[ 30.32489916 -1.70077673 -83.53703893 29.69908359]\n", - " [ -1.70077673 40.22404765 17.70306278 -139.3977158 ]\n", - " [ -83.53703893 17.70306278 265.55378387 -10.6034954 ]\n", - " [ 29.69908359 -139.3977158 -10.6034954 1011.44649845]]\n", - "Trace: 1347.5492291173557\n", - "Determinant: 3010729.9627101882\n", - "Condition number: 2327.092517989046\n", - "Minimal eigen value: 0.44357883128239384\n", - "Eigen values: [1.03224898e+03 2.92366715e+02 4.43578831e-01 2.24899558e+01]\n", - "Eigen vectors: [[-0.03126182 -0.2997622 0.88845386 0.34614313]\n", - " [ 0.13946254 0.04900901 -0.3403447 0.92860853]\n", - " [ 0.02031167 0.95207692 0.29988648 0.05661343]\n", - " [-0.98952531 0.03592056 -0.0698808 0.12110348]]\n", - "This is the 68 run out of 81 run.\n", - "The code has run 83.2975 seconds.\n", - "Estimated remaining time: 15.9245 seconds\n", - "=======This is the 69 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.02793741226196289\n", - "Solve time with sequential_finite mode [s]: 0.6964712142944336\n", - "Existed information has been added.\n", - "FIM: [[ 32.42034618 -1.23169886 -93.80255583 3.5731722 ]\n", - " [ -1.23169886 29.8203717 -2.24494638 -172.34077611]\n", - " [ -93.80255583 -2.24494638 277.00409825 21.18568535]\n", - " [ 3.5731722 -172.34077611 21.18568535 1002.72331499]]\n", - "Trace: 1341.9681311253396\n", - "Determinant: 23151.047329066576\n", - "Condition number: 7598.504901836265\n", - "Minimal eigen value: 0.13594106221265628\n", - "Eigen values: [1.03294883e+03 3.08348676e+02 5.34686339e-01 1.35941062e-01]\n", - "Eigen vectors: [[-0.00110395 -0.32207505 -0.88388249 0.33914333]\n", - " [ 0.16931833 0.00922069 0.34992938 0.9213011 ]\n", - " [-0.02797549 0.94634099 -0.30239118 0.11052457]\n", - " [-0.98516367 -0.0249274 0.06971914 0.1548238 ]]\n", - "This is the 69 run out of 81 run.\n", - "The code has run 84.4914 seconds.\n", - "Estimated remaining time: 14.6942 seconds\n", - "=======This is the 70 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.02761530876159668\n", - "Solve time with sequential_finite mode [s]: 0.6862764358520508\n", - "Existed information has been added.\n", - "FIM: [[ 2.83976041e+01 -1.67609377e+00 -8.54361913e+01 5.27933611e+00]\n", - " [-1.67609377e+00 3.33874465e+01 1.73718404e-02 -1.80550094e+02]\n", - " [-8.54361913e+01 1.73718404e-02 2.59251869e+02 7.88570633e+00]\n", - " [ 5.27933611e+00 -1.80550094e+02 7.88570633e+00 9.92110458e+02]]\n", - "Trace: 1313.147377519939\n", - "Determinant: 9737.395772584301\n", - "Condition number: 18966.410127745843\n", - "Minimal eigen value: 0.05404740537665949\n", - "Eigen values: [1.02508526e+03 2.87396531e+02 5.40474054e-02 6.11542245e-01]\n", - "Eigen vectors: [[-0.00468899 -0.31341273 -0.85406023 -0.41512841]\n", - " [ 0.17911454 0.0067818 -0.43288536 0.88344907]\n", - " [-0.00960261 0.94957027 -0.27929331 -0.14219474]\n", - " [-0.98377019 -0.0065402 -0.07201828 0.16421573]]\n", - "This is the 70 run out of 81 run.\n", - "The code has run 85.5896 seconds.\n", - "Estimated remaining time: 13.4498 seconds\n", - "=======This is the 71 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.030688762664794922\n", - "Solve time with sequential_finite mode [s]: 0.6938521862030029\n", - "Existed information has been added.\n", - "FIM: [[ 28.48721679 -1.8280151 -89.16643363 5.27816235]\n", - " [ -1.8280151 33.35771807 -2.78134131 -177.90900327]\n", - " [ -89.16643363 -2.78134131 292.85879527 20.93685849]\n", - " [ 5.27816235 -177.90900327 20.93685849 968.458082 ]]\n", - "Trace: 1323.1618121226934\n", - "Determinant: 147299.59384690944\n", - "Condition number: 3086.382538541296\n", - "Minimal eigen value: 0.32458674179528096\n", - "Eigen values: [1.00179885e+03 3.19621096e+02 1.41727722e+00 3.24586742e-01]\n", - "Eigen vectors: [[ 0.00298019 0.29321726 -0.8014063 0.52130863]\n", - " [-0.18069131 -0.00877455 0.53355076 0.82619443]\n", - " [ 0.02936749 -0.95565069 -0.24784945 0.15633282]\n", - " [ 0.9830968 0.02604599 0.10789889 0.1456026 ]]\n", - "This is the 71 run out of 81 run.\n", - "The code has run 86.6934 seconds.\n", - "Estimated remaining time: 12.2103 seconds\n", - "=======This is the 72 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 4.5}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.02768707275390625\n", - "Solve time with sequential_finite mode [s]: 0.6719825267791748\n", - "Existed information has been added.\n", - "FIM: [[ 2.83264522e+01 -1.33552984e+00 -8.51380177e+01 2.56666062e+00]\n", - " [-1.33552984e+00 3.34522606e+01 -9.11437300e-01 -1.75594764e+02]\n", - " [-8.51380177e+01 -9.11437300e-01 2.58131136e+02 1.38840063e+01]\n", - " [ 2.56666062e+00 -1.75594764e+02 1.38840063e+01 9.46176077e+02]]\n", - "Trace: 1266.085925592408\n", - "Determinant: 16631.952419274636\n", - "Condition number: 15377.40831523563\n", - "Minimal eigen value: 0.06366863408701079\n", - "Eigen values: [9.79058583e+02 2.86030857e+02 6.36686341e-02 9.32816316e-01]\n", - "Eigen vectors: [[ 0.00120705 0.31382957 -0.88893819 -0.33361419]\n", - " [-0.18256048 -0.00950747 -0.34860208 0.91927029]\n", - " [ 0.01901959 -0.94929323 -0.29137624 -0.11653539]\n", - " [ 0.9830099 0.01621618 -0.05801174 0.17338743]]\n", - "This is the 72 run out of 81 run.\n", - "The code has run 87.7720 seconds.\n", - "Estimated remaining time: 10.9715 seconds\n", - "=======This is the 73 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 300.0, 0.125: 300.0, 0.25: 300.0, 0.375: 300.0, 0.5: 300.0, 0.625: 300.0, 0.75: 300.0, 0.875: 300.0, 1: 300.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.029311418533325195\n", - "Solve time with sequential_finite mode [s]: 0.7014997005462646\n", - "Existed information has been added.\n", - "FIM: [[ 31.83274557 -5.74842271 -93.40410859 27.92192828]\n", - " [ -5.74842271 33.87294686 8.71011784 -191.40917933]\n", - " [ -93.40410859 8.71011784 278.82970073 -39.23706652]\n", - " [ 27.92192828 -191.40917933 -39.23706652 1087.92667313]]\n", - "Trace: 1432.462066291894\n", - "Determinant: 2527.1770189946437\n", - "Condition number: 72221.06297255625\n", - "Minimal eigen value: 0.015570489923575806\n", - "Eigen values: [1.12451733e+03 3.07459724e+02 4.69438819e-01 1.55704899e-02]\n", - "Eigen vectors: [[-0.03037126 -0.31506528 -0.75850957 0.5696268 ]\n", - " [ 0.17310497 -0.00377822 0.5879984 0.79011283]\n", - " [ 0.05075106 0.94729044 -0.25689031 0.18458744]\n", - " [-0.98312593 0.05796907 0.11370352 0.13105155]]\n", - "This is the 73 run out of 81 run.\n", - "The code has run 88.9887 seconds.\n", - "Estimated remaining time: 9.7522 seconds\n", - "=======This is the 74 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 350.0, 0.125: 350.0, 0.25: 350.0, 0.375: 350.0, 0.5: 350.0, 0.625: 350.0, 0.75: 350.0, 0.875: 350.0, 1: 350.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.028374433517456055\n", - "Solve time with sequential_finite mode [s]: 0.678058385848999\n", - "Existed information has been added.\n", - "FIM: [[ 33.39046075 -13.47726667 -95.63934904 39.72237618]\n", - " [ -13.47726667 57.35158484 25.17165921 -249.69539905]\n", - " [ -95.63934904 25.17165921 281.24313935 -63.87749649]\n", - " [ 39.72237618 -249.69539905 -63.87749649 1187.55157107]]\n", - "Trace: 1559.5367560100465\n", - "Determinant: 394879.5585796292\n", - "Condition number: 5371.2501565313705\n", - "Minimal eigen value: 0.23215218482096997\n", - "Eigen values: [1.24694746e+03 3.07927227e+02 2.32152185e-01 4.42991743e+00]\n", - "Eigen vectors: [[ 0.04002076 0.31702475 -0.91733743 -0.2374567 ]\n", - " [-0.20662741 -0.02284046 -0.26093196 0.94270777]\n", - " [-0.0738291 -0.94392308 -0.29797528 -0.12152868]\n", - " [ 0.97480907 -0.08934675 -0.04021546 0.20036755]]\n", - "This is the 74 run out of 81 run.\n", - "The code has run 90.0756 seconds.\n", - "Estimated remaining time: 8.5207 seconds\n", - "=======This is the 75 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 400.0, 0.125: 400.0, 0.25: 400.0, 0.375: 400.0, 0.5: 400.0, 0.625: 400.0, 0.75: 400.0, 0.875: 400.0, 1: 400.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.027086973190307617\n", - "Solve time with sequential_finite mode [s]: 0.6586818695068359\n", - "Existed information has been added.\n", - "FIM: [[ 31.43030815 -5.33439747 -92.48550645 25.11853827]\n", - " [ -5.33439747 34.61961863 7.43268078 -194.41474548]\n", - " [ -92.48550645 7.43268078 276.77939762 -31.1945572 ]\n", - " [ 25.11853827 -194.41474548 -31.1945572 1099.06905538]]\n", - "Trace: 1441.8983797824621\n", - "Determinant: 1983.6758411296003\n", - "Condition number: 97908.94465880806\n", - "Minimal eigen value: 0.011596838957080625\n", - "Eigen values: [1.13543426e+03 3.05960135e+02 4.92384347e-01 1.15968390e-02]\n", - "Eigen vectors: [[-0.02657867 -0.31502304 -0.7274653 0.60897315]\n", - " [ 0.17410443 -0.00144869 0.62871299 0.75789546]\n", - " [ 0.04010185 0.94792312 -0.2467794 0.1973158 ]\n", - " [-0.98355125 0.04690568 0.12088894 0.1257484 ]]\n", - "This is the 75 run out of 81 run.\n", - "The code has run 91.1432 seconds.\n", - "Estimated remaining time: 7.2915 seconds\n", - "=======This is the 76 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 450.0, 0.125: 450.0, 0.25: 450.0, 0.375: 450.0, 0.5: 450.0, 0.625: 450.0, 0.75: 450.0, 0.875: 450.0, 1: 450.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.02901911735534668\n", - "Solve time with sequential_finite mode [s]: 0.7135286331176758\n", - "Existed information has been added.\n", - "FIM: [[ 31.49858531 -4.60012202 -92.35075973 21.62467522]\n", - " [ -4.60012202 35.15595467 6.59539096 -197.41037727]\n", - " [ -92.35075973 6.59539096 274.77868234 -27.6378864 ]\n", - " [ 21.62467522 -197.41037727 -27.6378864 1115.2718156 ]]\n", - "Trace: 1456.7050379153036\n", - "Determinant: 7565.683188379254\n", - "Condition number: 23288.5899482656\n", - "Minimal eigen value: 0.04945362598000439\n", - "Eigen values: [1.15170522e+03 3.04514152e+02 4.36215604e-01 4.94536260e-02]\n", - "Eigen vectors: [[-0.02256784 -0.31726719 -0.74668281 0.5842063 ]\n", - " [ 0.17424342 -0.00106525 0.6037903 0.77786591]\n", - " [ 0.03469437 0.94747034 -0.25427319 0.19089629]\n", - " [-0.98383242 0.04050111 0.1150965 0.13109628]]\n", - "This is the 76 run out of 81 run.\n", - "The code has run 92.2599 seconds.\n", - "Estimated remaining time: 6.0697 seconds\n", - "=======This is the 77 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 500.0, 0.125: 500.0, 0.25: 500.0, 0.375: 500.0, 0.5: 500.0, 0.625: 500.0, 0.75: 500.0, 0.875: 500.0, 1: 500.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.027924776077270508\n", - "Solve time with sequential_finite mode [s]: 0.6846489906311035\n", - "Existed information has been added.\n", - "FIM: [[ 30.73699547 -21.19495002 -107.60641402 19.92081655]\n", - " [ -21.19495002 2719.25182178 2533.72944403 -976.43067198]\n", - " [-107.60641402 2533.72944403 2643.44658159 -803.65921926]\n", - " [ 19.92081655 -976.43067198 -803.65921926 1097.29715844]]\n", - "Trace: 6490.73255728231\n", - "Determinant: 190559719.5183603\n", - "Condition number: 19437.341050534676\n", - "Minimal eigen value: 0.2866538356192987\n", - "Eigen values: [5.57178837e+03 2.86653836e-01 1.56554268e+02 7.62103270e+02]\n", - "Eigen vectors: [[ 0.01665257 -0.90369207 0.42728266 -0.02220036]\n", - " [-0.68940065 0.29652668 0.65749806 0.06704456]\n", - " [-0.6715202 -0.30337738 -0.59920063 0.3130198 ]\n", - " [ 0.27112738 0.05809243 0.16150677 0.94711709]]\n", - "This is the 77 run out of 81 run.\n", - "The code has run 93.4381 seconds.\n", - "Estimated remaining time: 4.8539 seconds\n", - "=======This is the 78 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 550.0, 0.125: 550.0, 0.25: 550.0, 0.375: 550.0, 0.5: 550.0, 0.625: 550.0, 0.75: 550.0, 0.875: 550.0, 1: 550.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.028234004974365234\n", - "Solve time with sequential_finite mode [s]: 0.6925363540649414\n", - "Existed information has been added.\n", - "FIM: [[ 27.83923181 -5.93254889 -82.61397451 25.07129494]\n", - " [ -5.93254889 37.14511408 4.34455669 -199.50889735]\n", - " [ -82.61397451 4.34455669 271.77117608 -11.57589857]\n", - " [ 25.07129494 -199.50889735 -11.57589857 1088.16008096]]\n", - "Trace: 1424.915602936087\n", - "Determinant: 242719.07636671272\n", - "Condition number: 3580.193883212596\n", - "Minimal eigen value: 0.31439508151227563\n", - "Eigen values: [1.12559535e+03 2.96694131e+02 2.31172901e+00 3.14395082e-01]\n", - "Eigen vectors: [[ 0.02468053 0.29165306 -0.90306781 0.31432134]\n", - " [-0.18040713 -0.00403799 0.31775428 0.93084326]\n", - " [-0.01663515 -0.9562084 -0.27871992 0.08777223]\n", - " [ 0.9831416 -0.02424199 0.07626245 0.16440485]]\n", - "This is the 78 run out of 81 run.\n", - "The code has run 94.5398 seconds.\n", - "Estimated remaining time: 3.6361 seconds\n", - "=======This is the 79 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 600.0, 0.125: 600.0, 0.25: 600.0, 0.375: 600.0, 0.5: 600.0, 0.625: 600.0, 0.75: 600.0, 0.875: 600.0, 1: 600.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.02758193016052246\n", - "Solve time with sequential_finite mode [s]: 0.6991641521453857\n", - "Existed information has been added.\n", - "FIM: [[ 27.7978235 -2.99529131 -86.30978784 7.19668008]\n", - " [ -2.99529131 41.30650306 7.9477412 -208.69078171]\n", - " [ -86.30978784 7.9477412 269.79185838 -13.34930499]\n", - " [ 7.19668008 -208.69078171 -13.34930499 1092.65815437]]\n", - "Trace: 1431.5543393101382\n", - "Determinant: 67145.03741863278\n", - "Condition number: 7398.165055704758\n", - "Minimal eigen value: 0.1531312568155178\n", - "Eigen values: [1.13289031e+03 2.97208626e+02 1.53131257e-01 1.30226929e+00]\n", - "Eigen vectors: [[-0.00829041 -0.30458106 0.94827835 0.08904955]\n", - " [ 0.18789128 0.01471025 -0.085506 0.97835024]\n", - " [ 0.01774745 0.95210479 0.3051254 0.00894338]\n", - " [-0.98199448 0.02259327 -0.01885168 0.18660384]]\n", - "This is the 79 run out of 81 run.\n", - "The code has run 95.6575 seconds.\n", - "Estimated remaining time: 2.4217 seconds\n", - "=======This is the 80 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 650.0, 0.125: 650.0, 0.25: 650.0, 0.375: 650.0, 0.5: 650.0, 0.625: 650.0, 0.75: 650.0, 0.875: 650.0, 1: 650.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.028540611267089844\n", - "Solve time with sequential_finite mode [s]: 0.6787211894989014\n", - "Existed information has been added.\n", - "FIM: [[ 29.88472223 -2.68849472 -89.07748234 9.11862585]\n", - " [ -2.68849472 36.9370456 1.54848509 -194.03562837]\n", - " [ -89.07748234 1.54848509 268.44630988 2.22990802]\n", - " [ 9.11862585 -194.03562837 2.22990802 1041.19328846]]\n", - "Trace: 1376.4613661707033\n", - "Determinant: 17886.083553769175\n", - "Condition number: 17044.02455215826\n", - "Minimal eigen value: 0.06321667356605301\n", - "Eigen values: [1.07746654e+03 2.98050585e+02 6.32166736e-02 8.81028274e-01]\n", - "Eigen vectors: [[ 0.00890992 0.31520388 -0.86124408 -0.3985295 ]\n", - " [-0.18333049 -0.00679654 -0.41643465 0.89046388]\n", - " [ 0.00137755 -0.94899553 -0.28287071 -0.13924709]\n", - " [ 0.98300999 -0.00279465 -0.06946204 0.1698781 ]]\n", - "This is the 80 run out of 81 run.\n", - "The code has run 96.8293 seconds.\n", - "Estimated remaining time: 1.2104 seconds\n", - "=======This is the 81 th iteration=======\n", - "Design variable values of this iteration: {'CA0': {0: 5.0}, 'T': {0: 700.0, 0.125: 700.0, 0.25: 700.0, 0.375: 700.0, 0.5: 700.0, 0.625: 700.0, 0.75: 700.0, 0.875: 700.0, 1: 700.0}}\n", - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Pyomo.DAE option: True\n", - "Constant T option: False\n", - "K_aug formulation: False\n", - "Build time with sequential_finite mode [s]: 0.029165029525756836\n", - "Solve time with sequential_finite mode [s]: 0.6474709510803223\n", - "Existed information has been added.\n", - "FIM: [[ 2.97578061e+01 -1.98912708e+00 -8.89093984e+01 5.10636380e+00]\n", - " [-1.98912708e+00 3.71224643e+01 -1.58607876e-01 -1.92016824e+02]\n", - " [-8.89093984e+01 -1.58607876e-01 2.68347740e+02 1.15199227e+01]\n", - " [ 5.10636380e+00 -1.92016824e+02 1.15199227e+01 1.01957134e+03]]\n", - "Trace: 1354.7993484692117\n", - "Determinant: 21846.64549366849\n", - "Condition number: 15849.72029679074\n", - "Minimal eigen value: 0.06662244366106475\n", - "Eigen values: [1.05594710e+03 2.97742636e+02 6.66224437e-02 1.04299209e+00]\n", - "Eigen vectors: [[ 0.00403949 0.31510289 -0.88322723 -0.34728017]\n", - " [-0.18519849 -0.00948439 -0.3632389 0.9130548 ]\n", - " [ 0.01395332 -0.94895322 -0.29031282 -0.12252168]\n", - " [ 0.98259376 0.0103926 -0.0607094 0.1752594 ]]\n", - "This is the 81 run out of 81 run.\n", - "The code has run 97.8859 seconds.\n", - "Estimated remaining time: 0.0000 seconds\n", - "Overall model building time [s]: 2.518775701522827\n", - "Overall model solve time [s]: 60.28285574913025\n", - "Overall wall clock time [s]: 97.8859760761261\n" - ] - } - ], + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", @@ -5134,229 +515,10 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "id": "991969ba", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (1.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (2.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (3.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.0, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (4.5, 700.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 300.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 350.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 400.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 450.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 500.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 550.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 600.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 650.0)\n", - "Design variable: ['CA0', 'T']\n", - "Value : (5.0, 700.0)\n", - "[\"'CA0'\"] is/are fixed.\n", - "1D sensitivity curve is plotted with T .\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "test = all_fim.extract_criteria()\n", "\n", @@ -5378,66 +540,10 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "id": "c9fe2868", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2D heatmap is plotted with ['CA0', 'T'] .\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fixed = {}\n", "all_fim.figure_drawing(fixed, ['CA0','T'], 'Reactor case','$C_{A0}$ [M]', 'T [K]' )" diff --git a/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb index c7cc2ce4b07..afee0d3ac38 100644 --- a/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb +++ b/pyomo/contrib/doe/reactor_kinetics_kaug_case.ipynb @@ -689,13 +689,13 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 19, "id": "50a912a8", "metadata": {}, "outputs": [], "source": [ "scena_version = True\n", - "dae = False\n", + "dae = True\n", "\n", "sigma_p = np.array([[1, 0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0, 1]])\n", "\n", @@ -710,6 +710,9 @@ " model_un = create_model_dae(scena_this, CA_init=5, T_init=300)\n", " model_un = discretizer(model_un)\n", " model_un.T.fix()\n", + " \n", + " ipopt = SolverFactory(\"ipopt\")\n", + " ipopt.solve(model_un, tee=False)\n", " \n", " else:\n", " model_un = create_model_scena(scena_this, CA_init=5, T_init=300)\n", @@ -725,7 +728,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 20, "id": "f6cc3bc2", "metadata": {}, "outputs": [ @@ -737,6 +740,10 @@ "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", "W[K_AUG]...\t[K_AUG_ASL]This problem has no degrees of freedom\n", "Pass the option square_override for the desired behaviour\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zL_out suffix declared, setting zL = 0.\n", "W[K_AUG_ASL]...\t[K_AUG_ASL]No ipopt_zU_out suffix declared, setting zU = 0.\n", "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", @@ -757,61 +764,38 @@ "\t\tCould not fix the accuracy of the problem.\n", "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", "\t\tWarning: results might be incorrect.\n", - "\t\tCurrent residual ratio 0.306474; Max residual ratio 1e-10.\n", + "\t\tCurrent residual ratio 0.0405642; Max residual ratio 1e-10.\n", "\n", - "[K_AUG] written by D.T. @2018\n", - "\n", - ": dsdp_mode=\n", - "dsdp_mode=\n", "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 49\n", - "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 49\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 777\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 777\n", "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 0\n", "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:0\n", "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:1\n", "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:2\n", "I[K_AUG]...\t[ADJUST_MU]\tWarning strict complementarity (lb) is not within tol for var:3\n", "I[K_AUG]...\t[ADJUST_MU]\tWarning no relevant info from the problem can predict logmu\n", - "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 49, leq: 0, geq: 0 \n", - "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 127\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 777, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 3083\n", "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", - "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 28\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 197\n", "I[K_AUG]...\t[GET_HESS_ASL]Maximization problem detected\n", "I[K_AUG]...\t[GET_HESS_ASL]Current objective 0.000000\n", - "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 31\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 775\n", "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 4 \n", "I[MA57]...\t[]***\n", - " Runtime parameters:\n", - " Objective type: METIS_OBJTYPE_CUT\n", - " Coarsening type: Unknown!\n", - " Initial partitioning type: Unknown!\n", - " Refinement type: Unknown!\n", - " Perform a 2-hop matching: No\n", - " Number of balancing constraints: 1\n", - " Number of refinement iterations: 63416499\n", - " Random number seed: 0\n", - " Number of separators: 32767\n", - " Compress graph prior to ordering: No\n", - " Detect & order connected components separately: No\n", - " Prunning factor for high degree vertices: 53770240.000000\n", - " Allowed maximum load imbalance: 1.515 \n", - "\n", "Input Error: Incorrect objective type.\n", - " nbrpool statistics\n", - " nbrpoolsize: 0 nbrpoolcpos: 0\n", - " nbrpoolreallocs: 0\n", - "\n", "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", "I[MA57]...\t[MA57_FACTOR]\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 49\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 777\n", "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", "I[MA57]...\t[Factorize Success.]***\n", "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 3.064743e-01 \n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 4.056415e-02 \n", "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", "\n", @@ -819,16 +803,16 @@ "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", "I[MA57]...\t[MA57_FACTOR]\n", "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", - "I[K_AUG]...\t[MA57_FACTOR]n_neig = 49\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 777\n", "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", "I[MA57]...\t[MA57_RATIO]\n", - "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.30647430733962483.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.04056415205416915.\n", "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", "\n", - "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=49, (neig == m).\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=777, (neig == m).\n", "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", - "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.00084, Fact 0.001268, Overall 0.001673.\n", - "Total time: 0.07697105407714844\n" + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.005797, Fact 0.009455, Overall 0.011161.\n", + "Total time: 0.35462307929992676\n" ] } ], @@ -864,7 +848,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 21, "id": "7d2b0b29", "metadata": {}, "outputs": [ @@ -872,9 +856,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "['A1[0]', 'A2[0]', 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'dCCdt[0,0.754845]', 'dCCdt[0,0.770155]', 'dCCdt[0,0.78125]', 'dCCdt[0,0.786095]', 'dCCdt[0,0.801405]', 'dCCdt[0,0.8125]', 'dCCdt[0,0.817345]', 'dCCdt[0,0.832655]', 'dCCdt[0,0.84375]', 'dCCdt[0,0.848595]', 'dCCdt[0,0.863905]', 'dCCdt[0,0.875]', 'dCCdt[0,0.879845]', 'dCCdt[0,0.895155]', 'dCCdt[0,0.90625]', 'dCCdt[0,0.911095]', 'dCCdt[0,0.926405]', 'dCCdt[0,0.9375]', 'dCCdt[0,0.942345]', 'dCCdt[0,0.957655]', 'dCCdt[0,0.96875]', 'dCCdt[0,0.973595]', 'dCCdt[0,0.988905]', 'dCCdt[0,1]', 'kp2[0,0]']\n", + "[array([-1.73027678e-02, -8.99055335e-22, 5.88178536e-01, 1.01358388e-18]), array([-2.16499185e-02, -7.07999708e-21, 7.35952626e-01, 6.52630665e-19]), array([-2.03169362e-02, -8.50688621e-21, 6.90640130e-01, 4.19880478e-19]), array([-1.69475781e-02, -7.87304352e-21, 5.76104461e-01, 2.69931359e-19]), array([-1.32534319e-02, -6.52146894e-21, 4.50528161e-01, 1.73407534e-19]), array([-9.94993600e-03, -5.07841084e-21, 3.38231367e-01, 1.11323206e-19]), array([-7.26235992e-03, -3.80180553e-21, 2.46871731e-01, 7.14202737e-20]), array([-5.19254665e-03, -2.76927932e-21, 1.76511904e-01, 4.57919578e-20]), array([ 1.62122226e-02, -2.80212228e-04, -5.51107284e-01, 4.17585033e-02]), array([ 0.01854136, -0.00089912, -0.63028238, 0.13399121]), array([ 0.01529419, -0.00163321, -0.51990033, 0.24338813]), array([ 0.01048416, -0.0023581 , -0.35639142, 0.35141531]), array([ 0.00588382, -0.00300928, -0.20001055, 0.44845695]), array([ 0.00214202, -0.00355776, -0.0728145 , 0.53019374]), array([-0.00062149, -0.00399515, 0.02112654, 0.59537473]), array([-0.0025094 , -0.0043245 , 0.08530294, 0.6444562 ]), array([ 0.00109055, 0.00028021, -0.03707125, -0.0417585 ]), array([ 0.00310856, 0.00089912, -0.10567025, -0.13399121]), array([ 0.00502275, 0.00163321, -0.1707398 , -0.24338813]), array([ 0.00646342, 0.0023581 , -0.21971304, -0.35141531]), array([ 0.00736961, 0.00300928, -0.25051761, -0.44845695]), array([ 0.00780791, 0.00355776, -0.26541687, -0.53019374]), array([ 0.00788385, 0.00399515, -0.26799827, -0.59537473]), array([ 0.00770195, 0.0043245 , -0.26181485, -0.6444562 ])]\n", + "{'A1': [-0.01730276777503268, -0.021649918524321295, -0.02031693620656303, -0.01694757814683754, -0.013253431865429833, -0.009949936002778883, -0.007262359920688898, -0.005192546653195425, 0.016212222601438946, 0.018541359405045046, 0.015294190756140164, 0.010484160120454772, 0.005883819130284909, 0.0021420236614880673, -0.0006214907664507895, -0.002509403072608902, 0.0010905451735937312, 0.0031085591192762546, 0.005022745450422869, 0.00646341802638277, 0.007369612735144925, 0.007807912341290815, 0.007883850687139687, 0.0077019497258043286], 'A2': [-8.990553354896721e-22, -7.079997076134917e-21, -8.506886208346608e-21, -7.873043517163968e-21, -6.5214689357793525e-21, -5.0784108433452394e-21, -3.801805529976422e-21, -2.769279316888108e-21, -0.0002802122278474129, -0.000899121645574993, -0.001633208173982505, -0.0023581033404614965, -0.003009282209380028, -0.003557760881142615, -0.00399514505922283, -0.004324496641958519, 0.000280212227847413, 0.0008991216455749928, 0.0016332081739825052, 0.002358103340461496, 0.003009282209380028, 0.0035577608811426164, 0.003995145059222829, 0.004324496641958519], 'E1': [0.5881785358255176, 0.7359526258424283, 0.6906401302848275, 0.5761044608469654, 0.45052816119512734, 0.33823136655147273, 0.24687173059979736, 0.17651190418732945, -0.5511072838850327, -0.6302823784533801, -0.5199003328567594, -0.3563914183664605, -0.20001055126607467, -0.07281449750112556, 0.02112653500254289, 0.08530294368123822, -0.03707125194048467, -0.10567024738904827, -0.17073979742806808, -0.21971304248050497, -0.2505176099290528, -0.2654168690503472, -0.26799826560234025, -0.26181484786856773], 'E2': [1.0135838757254265e-18, 6.526306649031668e-19, 4.198804781821694e-19, 2.699313586643835e-19, 1.734075340653498e-19, 1.1132320626487787e-19, 7.142027366875689e-20, 4.57919578465029e-20, 0.04175850330414219, 0.13399120550875615, 0.24338812568428797, 0.3514153072141862, 0.44845695010826214, 0.5301937415502169, 0.5953747252133851, 0.6444561991431449, -0.0417585033041422, -0.13399120550875615, -0.24338812568428803, -0.3514153072141861, -0.44845695010826214, -0.5301937415502171, -0.5953747252133851, -0.6444561991431449]}\n" ] } ], @@ -888,7 +872,7 @@ " \n", " \n", "print(col)\n", - "timepoint = [0.125,0.25,0.375,0.5,0.625,0.75,0.875,1.0]\n", + "timepoint = [0.125,0.25,0.375,0.5,0.625,0.75,0.875,1]\n", "index_list = []\n", "\n", "measure_name = []\n", diff --git a/pyomo/contrib/doe/reactor_sens_rp_update.py b/pyomo/contrib/doe/reactor_sens_rp_update.py new file mode 100644 index 00000000000..a7128209db4 --- /dev/null +++ b/pyomo/contrib/doe/reactor_sens_rp_update.py @@ -0,0 +1,273 @@ +#!/usr/bin/env python +# coding: utf-8 + +import numpy as np +import matplotlib.pyplot as plt +from pyomo.environ import * +from pyomo.dae import * +import pandas as pd +from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp +#from idaes.apps.uncertainty_propagation.sens import get_dsdp + + +''' +This is a minimal example of a Pyomo.DAE problem. + +Consider two chemical reactions that converts molecule $A$ to desired product $B$ and a less valuable side-product $C$. + +$A \overset{k_1}{\rightarrow} B \overset{k_2}{\rightarrow} C$ + + +The concenrations in a batch reactor evolve with time per the following differential equations: + +$$ \frac{d C_A}{dt} = r_A = -k_1 C_A $$ + +$$ \frac{d C_B}{dt} = r_B = k_1 C_A - k_2 C_B $$ + +$$ \frac{d C_C}{dt} = r_C = k_2 C_B $$ + +This is a linear system of differential equations. Assuming the feed is only species $A$, i.e., + +$$C_A(t=0) = C_{A0} \quad C_B(t=0) = 0 \quad C_C(t=0) = 0$$ + +Measurements (s) in this problem: CA, CB, CC + +Parameters (p): A1, A2, E1, E2 + +Dynamic variable: T (temperature). When T is constant, we have analytical solution to ds/dp. + +This problem is integrated by Pyomo.DAE. We use the get_dsdp() function to achieve the partial derivative ds/dp +''' + +def create_model(CA_init=5, T_init=300): + '''Create the model with Pyomo.DAE + ''' + # parameters initialization + theta_p = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + + ### add variable + m= ConcreteModel() + + ### Define sets and expressions + # timepoint + m.t = ContinuousSet(bounds=(0.0,1)) + # control time points + m.t_con = Set(initialize=[0,0.125,0.25,0.375,0.5,0.625,0.75,0.875,1]) + + m.CA0 = Var(initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L + m.CA0.fix() + + m.T = Var(m.t, initialize = T_init, bounds=(300, 700), within=NonNegativeReals) + + # ideal gas constant + m.R = 8.31446261815324 # J / K / mol + + # parameters + m.A1 = Var(initialize = theta_p['A1']) + m.A2 = Var(initialize = theta_p['A2']) + m.E1 = Var(initialize = theta_p['E1']) + m.E2 = Var(initialize = theta_p['E2']) + + # Concentration of A, B, and C [mol/L] + m.CA = Var( m.t, initialize=0.0, within=NonNegativeReals) + m.CB = Var( m.t, initialize=0.0, within=NonNegativeReals) + m.CC = Var( m.t, initialize=0.0, within=NonNegativeReals) + + # time derivative of C + m.dCAdt = DerivativeVar(m.CA, wrt=m.t) + m.dCBdt = DerivativeVar(m.CB, wrt=m.t) + m.dCCdt = DerivativeVar(m.CC, wrt=m.t) + + # state variables (rate constants) + def cal_kp1(m,t): + return m.A1*exp(-m.E1*1000/(m.R*m.T[t])) + + def cal_kp2(m,t): + return m.A2*exp(-m.E2*1000/(m.R*m.T[t])) + + m.kp1 = Expression(m.t, rule = cal_kp1 ) # 1/hr + m.kp2 = Expression(m.t, rule = cal_kp2 ) + + + # Calculate model response variables + def CA_conc(m,t): + return m.dCAdt[t] == -m.kp1[t]*m.CA[t] + + def CB_conc(m,t): + return m.dCBdt[t] == m.kp1[t]*m.CA[t] - m.kp2[t]*m.CB[t] + + def CC_conc(m,t): + return m.CC[t] == m.CA0 - m.CA[t] - m.CB[t] + + # add constraints + m.dCAdt_rule = Constraint( m.t, rule=CA_conc) + m.dCBdt_rule = Constraint(m.t, rule=CB_conc) + m.dCCdt_rule = Constraint(m.t, rule=CC_conc) + + m.Obj = Objective(rule=0, sense=maximize) + + # initial state + m.CB[0.0].fix(0.0) + m.CC[0.0].fix(0.0) + + # fix parameters + m.A1.setlb(theta_p['A1']) + m.A2.setlb(theta_p['A2']) + m.E1.setlb(theta_p['E1']) + m.E2.setlb(theta_p['E2']) + m.A1.setub(theta_p['A1']) + m.A2.setub(theta_p['A2']) + m.E1.setub(theta_p['E1']) + m.E2.setub(theta_p['E2']) + + return m + +# ### DAE model + + +def discretizer(m, NFE=32): + discretizer = TransformationFactory('dae.collocation') + discretizer.apply_to(m, nfe=NFE, ncp=3, wrt=m.t) + return m + +if __name__ == '__main__': + sigma_p = np.array([[1, 0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0, 1]]) + + variable_name = ['A1', 'A2', 'E1', 'E2'] + theta_p = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} + + # create model + model_un = create_model(CA_init=5, T_init=300) + # use pyomo.DAE + model_un = discretizer(model_un) + model_un.T.fix() + + # call get_dsdp() + import pyomo.environ as pyo + ipopt = pyo.SolverFactory("ipopt") + ipopt.solve(model_un, tee=False) + dsdp_re, col = get_dsdp(model_un, variable_name, theta_p, tee=False) + + # organize results + dsdp_array = dsdp_re.toarray().T + + timepoint = [0.125,0.25,0.375,0.5,0.625,0.75,0.875,1] + index_list = [] + + ### extract dCA/dp, dCB/dp and dCC/dp from all columns + measure_name = [] + for cname in ['CA', 'CB', 'CC']: + for tim in timepoint: + gene_name = cname+'['+str(tim)+']' + measure_name.append(gene_name) + + # from the given column names by get_dsdp(), find columns we are interested + for itera in range(len(measure_name)): + no = col.index(measure_name[itera]) + index_list.append(no) + + # extract dCA/dp, dCB/dp and dCC/dp + dsdp_extract = [] + for kk in index_list: + dsdp_extract.append(dsdp_array[kk]) + + # organize results in a dictionary + jac = {} + jac['dC/dA1'] = [] + jac['dC/dA2'] = [] + jac['dC/dE1'] = [] + jac['dC/dE2'] = [] + + for d in range(len(dsdp_extract)): + jac['dC/dA1'].append(dsdp_extract[d][0]) + jac['dC/dA2'].append(dsdp_extract[d][1]) + jac['dC/dE1'].append(dsdp_extract[d][2]) + jac['dC/dE2'].append(dsdp_extract[d][3]) + + print('======Pyomo.DAE and get_dsdp() solution======') + print(jac) + +def analytical_calc(CA_init=5, T_init=300): + '''This functions calculates the dsdp analytically + ''' + time = [0.125,0.25,0.375,0.5,0.625,0.75,0.875,1] + + # time + T = np.ones((8))*T_init + k1 = np.zeros((8)) + k2 = np.zeros((8)) + CA = np.zeros((8)) + CB = np.zeros((8)) + CC = np.zeros((8)) + + # dsdp + dCAdA1 = np.zeros((8)) + dCAdE1 = np.zeros((8)) + dCAdA2 = np.zeros((8)) + dCAdE2 = np.zeros((8)) + dCBdA1 = np.zeros((8)) + dCBdE1 = np.zeros((8)) + dCBdA2 = np.zeros((8)) + dCBdE2 = np.zeros((8)) + dCCdA1 = np.zeros((8)) + dCCdE1 = np.zeros((8)) + dCCdA2 = np.zeros((8)) + dCCdE2 = np.zeros((8)) + + R = 8.31446261815324 + + # parameters + A1 = 84.79085853498033 + A2 = 371.71773413976416 + E1 = 7.777032028026428 + E2 = 15.047135137500822 + + for i in range(8): + # state variables + k1[i] = A1*np.exp(-E1*1000/R/T[i]) + k2[i] = A2*np.exp(-E2*1000/R/T[i]) + CA[i] = CA_init*np.exp(-k1[i]*time[i]) + CB[i] = k1[i]/(k2[i]-k1[i]) * CA_init * (np.exp(-k1[i]*time[i]) - np.exp(-k2[i]*time[i])) + CC[i] = CA_init - CA[i] - CB[i] + + # dCA/dp + dCAdA1[i] = -CA_init * time[i] * np.exp(-k1[i]*time[i]-1000*E1/(R*T[i])) + dCAdE1[i] = CA_init * A1* time[i]*1000/R/T[i] * np.exp(-k1[i]*time[i] - E1*1000/R/T[i]) + dCAdA2[i] = 0 + dCAdE2[i] = 0 + + # dCB/dp + item1 = k2[i]/(k2[i] - k1[i])/(k2[i]-k1[i])*np.exp(-E1*1000/R/T[i]) + item2 = -time[i]*np.exp(-k1[i]*time[i] - E1*1000/R/T[i]) + dCBdA1[i] = item1*CA_init*np.exp(-k1[i]*time[i]) + k1[i]/(k2[i]-k1[i])*CA_init*item2 - CA_init*np.exp(-k2[i]*time[i])*item1 + + item3 = -k1[i]/(k2[i] -k1[i])/(k2[i]-k1[i])*np.exp(-E2*1000/R/T[i]) + item4 = -time[i]*np.exp(-k2[i]*time[i]-E2*1000/R/T[i]) + dCBdA2[i] = item3*CA_init*np.exp(-k1[i]*time[i]) - item3*CA_init*np.exp(-k2[i]*time[i])-k1[i]/(k2[i]-k1[i])*CA_init*item4 + + item5 = -k2[i]/(k2[i]-k1[i])/(k2[i]-k1[i])*A1*1000/R/T[i]*np.exp(-E1*1000/R/T[i]) + item6 = A1*1000*time[i]/R/T[i] * np.exp(-k1[i]*time[i] - E1*1000/R/T[i]) + dCBdE1[i] = item5*CA_init*np.exp(-k1[i]*time[i]) + k1[i]/(k2[i]-k1[i])*CA_init*item6 -item5*CA_init*np.exp(-k2[i]*time[i]) + + item7 = k1[i]*A2*1000/(k2[i]-k1[i])/(k2[i]-k1[i])/R/T[i]*np.exp(-E2*1000/R/T[i]) + item8 = A2*1000*time[i]/R/T[i]*np.exp(-k2[i]*time[i] - E2*1000/R/T[i]) + dCBdE2[i] = item7*CA_init*np.exp(-k1[i]*time[i]) - k1[i]/(k2[i]-k1[i])*CA_init*item8 - item7*CA_init*np.exp(-k2[i]*time[i]) + + # dCC/dp + dCCdA1[i] = -dCAdA1[i] - dCBdA1[i] + dCCdE1[i] = -dCAdE1[i] - dCBdE1[i] + dCCdA2[i] = -dCAdA2[i] - dCBdA2[i] + dCCdE2[i] = -dCAdE2[i] - dCBdE2[i] + + # organize dsdp + jac={} + jac['dC/dA1']= np.concatenate((dCAdA1, dCBdA1, dCCdA1)) + jac['dC/dA2']= np.concatenate((dCAdA2, dCBdA2, dCCdA2)) + jac['dC/dE1']= np.concatenate((dCAdE1, dCBdE1, dCCdE1)) + jac['dC/dE2']= np.concatenate((dCAdE2, dCBdE2, dCCdE2)) + + return jac + +print('=====Analytical solution for dsdp======') +jac_analytic = analytical_calc() +print(jac_analytic) From fb1839f3a893c41dd7f53629ad4983cdca1ad5f5 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Wed, 22 Sep 2021 18:09:32 -0400 Subject: [PATCH 36/42] debug k_aug --- pyomo/contrib/doe/fim_doe.py | 32 ++++++++++++++++---------------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index 9951ab9f3db..be82e36cb97 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -6,10 +6,9 @@ import time import pickle from itertools import permutations, product -#from sens import get_dsdp from pyomo.contrib.sensitivity_toolbox.sens import sipopt, sensitivity_calculation -from idaes.apps.uncertainty_propagation.sens import get_dsdp -#from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp +#from idaes.apps.uncertainty_propagation.sens import get_dsdp +from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp class DesignOfExperiments: def __init__(self, param_init, design_variable_timepoints, measurement_variables, measurement_timeset, create_model, solver=None, @@ -641,6 +640,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # call k_aug get_dsdp function time0_solve = time.time() + square_result = self.__solve_doe(mod, fix=False) dsdp_re, col = get_dsdp(mod, var_name, var_dict, tee=self.tee_opt) time1_solve = time.time() time_solve = time1_solve - time0_solve @@ -665,23 +665,23 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No measure_name = mname+'[0,19,'+str(tim)+']' measurement_names.append(measure_name) # get right line number in kaug results - #if self.discretize_model is not None: + if self.discretize_model is not None: # for DAE model, some variables are fixed - try: + try: + kaug_no = col.index(measure_name) + measurement_index.append(kaug_no) + # get right line of dsdp + dsdp_extract.append(dsdp_array[kaug_no]) + except: + if self.verbose: + print('The variable is fixed:', measure_name) + # for fixed variables, the sensitivity are a zero vector + dsdp_extract.append(zero_sens) + else: kaug_no = col.index(measure_name) measurement_index.append(kaug_no) # get right line of dsdp dsdp_extract.append(dsdp_array[kaug_no]) - except: - if self.verbose: - print('The variable is fixed:', measure_name) - # for fixed variables, the sensitivity are a zero vector - dsdp_extract.append(zero_sens) - #else: - # kaug_no = col.index(measure_name) - # measurement_index.append(kaug_no) - # get right line of dsdp - # dsdp_extract.append(dsdp_array[kaug_no]) print('dsdp extract is:', dsdp_extract) # Extract and calculate sensitivity if scaled by constants or parameters. # Convert sensitivity to a dictionary @@ -1594,7 +1594,7 @@ def create_scenario(self): class FIM_result: - def __init__(self, para_name, prior_FIM=None, store_FIM=None, scale_constant_value=1, max_condition_number=1.0E12, + def __init__(self, para_name, prior_FIM=None, store_FIM=None, scale_constant_value=1, max_condition_number=1.0E12, verbose=True): ''' Analyze the FIM result for a single run From 51d8ad5960ea55abd5c457e9ab6610ce6f839bfe Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Sat, 2 Oct 2021 23:09:37 -0400 Subject: [PATCH 37/42] integrate different versions of models by adding args toggle to the package --- pyomo/contrib/doe/fim_doe.py | 125 ++++++++---------- pyomo/contrib/doe/reactor_control_doe.ipynb | 97 +++++++++++--- .../doe/reactor_model_multipleversions.py | 60 +++++---- pyomo/contrib/doe/reactor_models.py | 30 ++--- 4 files changed, 178 insertions(+), 134 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index be82e36cb97..0a64a316452 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -191,7 +191,6 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, obj=objective_option) analysis_optimize.model = m - time1 = time.time() if self.verbose: print('Total solve time with simultaneous_finite mode (Wall clock) [s]:', time_solve1 + time_solve2) @@ -297,7 +296,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No else: prior_in_use = specified_prior - FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + FIM_analysis = FIM_result(self.param_name, self.measurement_variables, self.measurement_timeset, self.measurement_extra_index, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) # add the formed simultaneous model to the object so that users can have access self.m = m @@ -325,11 +324,6 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No else: # dict for storing model outputs output_record = {} - # Temp: dict for fixed bed - output_record_fco2 = {} - output_record_tmid = {} - output_record_tend = {} - output_record_botht = {} # dict for storing Jacobian models = [] @@ -348,8 +342,6 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No time1_build = time.time() time_allbuild.append(time1_build-time0_build) - print('Parameters: ', value(mod.fitted_transport_coefficient[0]), ',', value(mod.ua[0])) - # discretize if needed if self.discretize_model is not None: mod = self.discretize_model(mod) @@ -367,40 +359,9 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No models.append(mod) # loop over measurement item and time to store model measurements - output_combine_fco2 = [] - output_combine_tmid = [] - output_combine_tend = [] - output_combine_botht = [] - # - for j in ['FCO2']: - for t in self.measurement_timeset: - C_value = eval('mod.' + j + '[0,19,' + str(t) + ']') - output_combine_fco2.append(value(C_value)) - output_combine_tmid.append(value(C_value)) - output_combine_tend.append(value(C_value)) - output_combine_botht.append(value(C_value)) - output_record_fco2[no_s] = output_combine_fco2 - - for j in ['temp']: - for t in self.measurement_timeset: - C_value = eval('mod.'+ j + '[0,10,' + str(t) + ']') - output_combine_tmid.append(value(C_value)) - output_combine_botht.append(value(C_value)) - - output_record_tmid[no_s] = output_combine_tmid - - for j in ['temp']: - for t in self.measurement_timeset: - C_value = eval('mod.'+ j + '[0,19,' + str(t) + ']') - output_combine_tend.append(value(C_value)) - output_combine_botht.append(value(C_value)) - - output_record_tend[no_s] = output_combine_tend - output_record_botht[no_s] = output_combine_botht - - ''' + output_combine = [] for j in self.measurement_variables: - if self.measurement_extra_index[j] is None: + if self.measurement_extra_index is None: for t in self.measurement_timeset: C_value = eval('mod.' + j + '[0,' + str(t) + ']') output_combine.append(value(C_value)) @@ -412,30 +373,15 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No output_record[no_s] = output_combine print('Output this time: ', output_record[no_s]) - ''' + if store_output is not None: - #f = open(store_output, 'wb') - #pickle.dump(output_record, f) - #f.close() - f = open(store_output+'_fco2', 'wb') - pickle.dump(output_record_fco2, f) + f = open(store_output, 'wb') + pickle.dump(output_record, f) f.close() - g = open(store_output+'_tmid', 'wb') - pickle.dump(output_record_tmid, g) - g.close() - h = open(store_output+'_tend', 'wb') - pickle.dump(output_record_tend, h) - h.close() - e = open(store_output+'_botht', 'wb') - pickle.dump(output_record_botht, e) - e.close() - - output_record = output_record_botht.copy() # calculate jacobian jac = self.__finite_calculation(output_record, scena_gen) - if self.verbose: print('Build time with sequential_finite mode [s]:', sum(time_allbuild)) print('Solve time with sequential_finite mode [s]:', sum(time_allsolve)) @@ -449,7 +395,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No else: prior_in_use = specified_prior - FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + FIM_analysis = FIM_result(self.param_name, self.measurement_variables, self.measurement_timeset, self.measurement_extra_index, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) # Store the Jacobian information for access by users @@ -579,7 +525,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No prior_in_use = specified_prior # Assemble and analyze results - FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + FIM_analysis = FIM_result(self.param_name, self.measurement_variables, self.measurement_timeset, self.measurement_extra_index, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) if self.verbose: print('Build time with sequential_sipopt or kaug mode [s]:', sum(time_allbuild)) @@ -623,7 +569,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No measurement_accurate_time.append(t_all[t_all.index(tt)]) # fix model DOF - mod = self.__fix_design(mod, self.design_values, fix_opt=True) + #mod = self.__fix_design(mod, self.design_values, fix_opt=True) # set ub and lb to parameters for par in self.param_name: @@ -640,7 +586,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # call k_aug get_dsdp function time0_solve = time.time() - square_result = self.__solve_doe(mod, fix=False) + square_result = self.__solve_doe(mod, fix=True) dsdp_re, col = get_dsdp(mod, var_name, var_dict, tee=self.tee_opt) time1_solve = time.time() time_solve = time1_solve - time0_solve @@ -662,7 +608,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No for mname in self.measurement_variables: for tim in measurement_accurate_time: # get the measurement name in the model - measure_name = mname+'[0,19,'+str(tim)+']' + measure_name = mname+'[0,'+str(tim)+']' measurement_names.append(measure_name) # get right line number in kaug results if self.discretize_model is not None: @@ -708,7 +654,8 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No prior_in_use = specified_prior # Assemble and analyze results - FIM_analysis = FIM_result(self.param_name, prior_FIM=prior_in_use, store_FIM=FIM_store_name, + FIM_analysis = FIM_result(self.param_name,self.measurement_variables, self.measurement_timeset, self.measurement_extra_index, + prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) self.jac = jac @@ -1228,15 +1175,21 @@ def __fix_design(self, m, design_val, fix_opt=True): for t, time in enumerate(self.design_time[d]): newvar = eval('m.' + dname + '[' + str(time) + ']') fix_v = design_val[dname][time] + + if fix_opt: + newvar.fix(fix_v) + print(newvar, 'is fixed at ', fix_v) + else: + newvar.unfix() else: newvar = eval('m.' + dname) fix_v = design_val[dname][0] - if fix_opt: - newvar.fix(fix_v) - print(newvar, 'is fixed at ', fix_v) - else: - newvar.unfix() + if fix_opt: + newvar.fix(fix_v) + print(newvar, 'is fixed at ', fix_v) + else: + newvar.unfix() return m def __solve_with_default_ipopt(self): @@ -1594,7 +1547,7 @@ def create_scenario(self): class FIM_result: - def __init__(self, para_name, prior_FIM=None, store_FIM=None, scale_constant_value=1, max_condition_number=1.0E12, + def __init__(self, para_name, measurement_variables, measurement_timeset, measurement_extra_index, prior_FIM=None, store_FIM=None, scale_constant_value=1, max_condition_number=1.0E12, verbose=True): ''' Analyze the FIM result for a single run @@ -1609,6 +1562,9 @@ def __init__(self, para_name, prior_FIM=None, store_FIM=None, scale_constant_va verbose: if print statements are used ''' self.para_name = para_name + self.measurement_variables = measurement_variables + self.measurement_timeset = measurement_timeset + self.measurement_extra_index = measurement_extra_index self.prior_FIM = prior_FIM self.store_FIM = store_FIM self.scale_constant_value = scale_constant_value @@ -1616,7 +1572,7 @@ def __init__(self, para_name, prior_FIM=None, store_FIM=None, scale_constant_va self.max_condition_number = max_condition_number self.verbose = verbose - def calculate_FIM(self, jaco_info, dv_values, result=None): + def calculate_FIM(self, jaco_information, dv_values, jaco_involved_name=None, jaco_involved_extra_index=None, result=None): ''' Calculate FIM from Jacobian information. This is for grid search (combined models) results @@ -1644,6 +1600,29 @@ def calculate_FIM(self, jaco_info, dv_values, result=None): self.doe_result = None # create a dict for FIM. It has the same keys as the Jacobian dict. + jaco_info = {} + # split jacobian if needed + if jaco_involved_name is not None: + for par in self.para_name: + jaco_parameter = [] + flatten_measure_count = -1 + for no, name in enumerate(self.measurement_variables): + if self.measurement_extra_index[no] is not None: + for ind in self.measurement_extra_index[no]: + for t in self.measurement_timeset[no]: + flatten_measure_count += 1 + if name in jaco_involved_name: + if ind in jaco_involved_extra_index: + jaco_parameter.append(jaco_information[par])[flatten_measure_count] + else: + for t in self.measurement_timeset[no]: + flatten_measure_count += 1 + if name in jaco_involved_name: + if ind in jaco_involved_extra_index: + jaco_parameter.append(jaco_information[par])[flatten_measure_count] + else: + jaco_info = jaco_information.copy() + # get number of parameters no_param = len(self.para_name) ### calculate the FIM diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index fba16bb657a..a6b2d15d758 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -17,20 +17,10 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "worth-origin", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", - " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", - " (deprecated in 6.1) (called from :228)\n" - ] - } - ], + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "from pyomo.environ import *\n", @@ -43,8 +33,8 @@ "\n", "from fim_doe import *\n", "from pyomo.contrib.sensitivity_toolbox.sens import sipopt\n", - "from idaes.apps.uncertainty_propagation.sens import get_dsdp\n", - "#from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp" + "#from idaes.apps.uncertainty_propagation.sens import get_dsdp\n", + "from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp" ] }, { @@ -117,12 +107,13 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "eligible-robert", "metadata": {}, "outputs": [], "source": [ - "from reactor_models import *" + "from reactor_models import *\n", + "#from reactor_model_multipleversions import *" ] }, { @@ -147,23 +138,26 @@ "outputs": [], "source": [ "# choose model from 'dynamic-DAE', 'constant-DAE', 'constant-analytical'\n", - "model_opt = 'dynamic-DAE'\n", - "#model_opt = 'constant-DAE'\n", + "#model_opt = 'dynamic-DAE'\n", + "model_opt = 'constant-DAE'\n", "#model_opt = 'constant-analytical'\n", "\n", "createmod = create_model_overall\n", "\n", "if (model_opt=='dynamic-DAE'):\n", + " #createmod = create_model_dae\n", " args_ = [True, False, False]\n", " disc = discretizer\n", " t_control = [0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", " \n", "elif (model_opt=='constant-DAE'):\n", + " #createmod = create_model_dae_const\n", " args_ = [True, True, False]\n", " disc = discretizer\n", " t_control = [0]\n", " \n", "elif (model_opt=='constant-analytical'):\n", + " #createmod = create_model_alge\n", " args_ = [False, True, False]\n", " disc = None\n", " t_control = [0]\n", @@ -257,6 +251,8 @@ "\n", "if sensi_opt == 'direct_kaug':\n", " args_[2] = True\n", + "else:\n", + " args_[2] = False\n", " \n", "\n", "# Define experiments\n", @@ -268,6 +264,64 @@ "print('Design variable:', exp1)" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "bff6a95a", + "metadata": {}, + "outputs": [], + "source": [ + "scena1 = {'scena-name': [0], 'A1':84.79085853498033, 'A2':371.71773413976416,\n", + " 'E1': 7.777032028026428, 'E2': 15.04713513750}\n", + "\n", + "kitty = create_model_overall(scena1, [True, True, False])\n", + "\n", + "discretizer(kitty)\n", + "\n", + "kitty.CA0.fix()\n", + "for t in t_control:\n", + " kitty.T[t].fix()\n", + "\n", + "#kitty.pprint()\n", + "solver = SolverFactory('ipopt')\n", + "solver.solve(kitty, tee=True)\n", + "\n", + "for t in t_control:\n", + " try:\n", + " print(value(kitty.CA[0, t]))\n", + " except:\n", + " print('no')\n", + " \n", + "print(value(kitty.CA[0,0.25]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36961e27", + "metadata": {}, + "outputs": [], + "source": [ + "from reactor_model_multipleversions import *\n", + "\n", + "maomao = create_model_dae(scena1)\n", + "\n", + "discretizer(maomao)\n", + "\n", + "maomao.CA0.fix()\n", + "for t in t_control:\n", + " maomao.T[t].fix()\n", + "#kitty.pprint()\n", + "solver = SolverFactory('ipopt')\n", + "solver.solve(maomao, tee=True)\n", + "\n", + "for t in t_control:\n", + " try:\n", + " print(value(maomao.CA[0, t]))\n", + " except:\n", + " print('no')" + ] + }, { "cell_type": "code", "execution_count": null, @@ -477,13 +531,14 @@ " \n", "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", + "\n", "sensi_opt = 'sequential_finite'\n", "#sensi_opt = 'sequential_sipopt'\n", "#sensi_opt = 'sequential_kaug'\n", "#sensi_opt = 'direct_kaug'\n", "\n", - "if sensi_opt == 'direct_kaug':\n", - " args_[2] = True" + "#if sensi_opt == 'direct_kaug':\n", + "# args_[2] = True" ] }, { @@ -497,7 +552,7 @@ "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass, \n", " ['CA','CB','CC'], t_measure, createmod,\n", - " prior_FIM=prior_pass, discretize_model=disc, args=args_)\n", + " prior_FIM=prior_pass, discretize_model=disc, args=None)\n", "\n", "all_fim = doe_object.run_grid_search(exp1, design_ranges,dv_apply_name, dv_apply_time, \n", " mode=sensi_opt, \n", diff --git a/pyomo/contrib/doe/reactor_model_multipleversions.py b/pyomo/contrib/doe/reactor_model_multipleversions.py index df5b4e3f766..c2bd4b59810 100644 --- a/pyomo/contrib/doe/reactor_model_multipleversions.py +++ b/pyomo/contrib/doe/reactor_model_multipleversions.py @@ -1,3 +1,13 @@ +from pyomo.environ import * +from pyomo.dae import * +import numpy as np + +def discretizer(m, NFE=32): + discretizer = TransformationFactory('dae.collocation') + discretizer.apply_to(m, nfe=NFE, ncp=3, wrt=m.t) + #m = discretizer.reduce_collocation_points(m, var=m.T, ncp=1, contset=m.t) + return m + def create_model_dae(scena, const=False, controls={0: 300, 0.125: 300, 0.25: 300, 0.375: 300, 0.5: 300, 0.625: 300, 0.75: 300, 0.875: 300, 1: 300}, t_range=[0.0,1], CA_init=3, C_init=0.3, model_form='dae-index-1'): ''' @@ -75,15 +85,15 @@ def T_initial(m,t): m.R = 8.31446261815324 # J / K / mole # Define parameters - #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) - #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) - #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) - #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) - m.A1 = Var(m.scena, initialize = m.scena_all['A1']) - m.A2 = Var(m.scena, initialize = m.scena_all['A2']) - m.E1 = Var(m.scena, initialize = m.scena_all['E1']) - m.E2 = Var(m.scena, initialize = m.scena_all['E2']) + #m.A1 = Var(m.scena, initialize = m.scena_all['A1']) + #m.A2 = Var(m.scena, initialize = m.scena_all['A2']) + #m.E1 = Var(m.scena, initialize = m.scena_all['E1']) + #m.E2 = Var(m.scena, initialize = m.scena_all['E2']) # Concentration variables under perturbation m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) @@ -283,15 +293,15 @@ def T_initial(m,t): m.R = 8.31446261815324 # J / K / mole # Define parameters - #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) - #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) - #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) - #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) - m.A1 = Var(m.scena, initialize = m.scena_all['A1']) - m.A2 = Var(m.scena, initialize = m.scena_all['A2']) - m.E1 = Var(m.scena, initialize = m.scena_all['E1']) - m.E2 = Var(m.scena, initialize = m.scena_all['E2']) + #m.A1 = Var(m.scena, initialize = m.scena_all['A1']) + #m.A2 = Var(m.scena, initialize = m.scena_all['A2']) + #m.E1 = Var(m.scena, initialize = m.scena_all['E1']) + #m.E2 = Var(m.scena, initialize = m.scena_all['E2']) # Concentration variables under perturbation m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) @@ -466,15 +476,15 @@ def create_model_alge(scena, CA_init=5, T_init=300, C_init=1): m.R = 8.31446261815324 # J / K / mole # Define parameters - #m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) - #m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) - #m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) - #m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) - - m.A1 = Var(m.scena, initialize = m.scena_all['A1']) - m.A2 = Var(m.scena, initialize = m.scena_all['A2']) - m.E1 = Var(m.scena, initialize = m.scena_all['E1']) - m.E2 = Var(m.scena, initialize = m.scena_all['E2']) + m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) + m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) + m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) + m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + + #m.A1 = Var(m.scena, initialize = m.scena_all['A1']) + #m.A2 = Var(m.scena, initialize = m.scena_all['A2']) + #m.E1 = Var(m.scena, initialize = m.scena_all['E1']) + #m.E2 = Var(m.scena, initialize = m.scena_all['E2']) # Concentration variables under perturbation m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) diff --git a/pyomo/contrib/doe/reactor_models.py b/pyomo/contrib/doe/reactor_models.py index 714701bb0af..43e9b6cf701 100644 --- a/pyomo/contrib/doe/reactor_models.py +++ b/pyomo/contrib/doe/reactor_models.py @@ -41,8 +41,11 @@ def create_model_overall(scena, options,controls={0: 300, 0.125: 300, 0.25: 300, para_list = ['A1', 'A2', 'E1', 'E2'] if_dae = options[0] + print(if_dae) if_constant = options[1] if_kaug = options[2] + print(if_constant) + print(if_kaug) ### Add variables m = ConcreteModel() @@ -68,15 +71,14 @@ def create_model_overall(scena, options,controls={0: 300, 0.125: 300, 0.25: 300, m.t = Set(initialize=time_an) # Control time points - if if_dae: + if (if_dae and (not if_constant)): m.t_con = Set(initialize=t_control) else: m.t_con = Set(initialize=[0]) m.t0 = Set(initialize=[0]) - # time-independent design variable - m.CA0 = Var(m.t0, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L + # time-dependent design variable, initialized with the first control value def T_initial(m,t): @@ -91,11 +93,10 @@ def T_initial(m,t): j+=1 neighbour_t = t_control[j] return controls[neighbour_t] - - if if_dae: - m.T = Var(m.t, initialize =T_initial, bounds=(300, 700), within=NonNegativeReals) - else: - m.T = Var(m.t, initialize = T_initial, bounds=(300, 700), within=NonNegativeReals) + + # time-independent design variable + m.CA0 = Var(m.t0, initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L + m.T = Var(m.t, initialize =T_initial, bounds=(300, 700), within=NonNegativeReals) m.R = 8.31446261815324 # J / K / mole @@ -106,10 +107,10 @@ def T_initial(m,t): m.E1 = Var(m.scena, initialize = m.scena_all['E1']) m.E2 = Var(m.scena, initialize = m.scena_all['E2']) else: - m.A1 = Param(m.scena, initialize=scena['A1'],mutable=True) - m.A2 = Param(m.scena, initialize=scena['A2'],mutable=True) - m.E1 = Param(m.scena, initialize=scena['E1'],mutable=True) - m.E2 = Param(m.scena, initialize=scena['E2'],mutable=True) + m.A1 = Param(m.scena, initialize=m.scena_all['A1'],mutable=True) + m.A2 = Param(m.scena, initialize=m.scena_all['A1'],mutable=True) + m.E1 = Param(m.scena, initialize=m.scena_all['A1'],mutable=True) + m.E2 = Param(m.scena, initialize=m.scena_all['A1'],mutable=True) # Concentration variables under perturbation m.CA = Var(m.scena, m.t, initialize=C_init, within=NonNegativeReals) @@ -231,6 +232,8 @@ def obj_rule(m): # calculating C, Jacobian, FIM m.k1_pert_rule = Constraint(m.scena, m.t, rule=cal_kp1) m.k2_pert_rule = Constraint(m.scena, m.t, rule=cal_kp2) + m.T_rule = Constraint(m.t, rule=T_control) + if if_dae: m.dCAdt_rule = Constraint(m.scena, m.t, rule=dCAdt_control) m.dCBdt_rule = Constraint(m.scena, m.t, rule=dCBdt_control) @@ -240,9 +243,6 @@ def obj_rule(m): else: m.dCCdt_rule = Constraint(m.scena, m.t, rule=dCCdt_control) - if if_constant: - m.T_rule = Constraint(m.t, rule=T_control) - else: m.dCAdt_rule = Constraint(m.scena, m.t, rule=CA_conc) m.dCBdt_rule = Constraint(m.scena, m.t, rule=CB_conc) From 7dad29db5a2912e7fb45105ca07cdf021c409240 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Mon, 4 Oct 2021 11:07:06 -0400 Subject: [PATCH 38/42] add comments --- pyomo/contrib/doe/col_row.col | 31 - pyomo/contrib/doe/col_row.nl | 1239 --------------------------------- pyomo/contrib/doe/col_row.row | 28 - pyomo/contrib/doe/fim_doe.py | 46 +- 4 files changed, 40 insertions(+), 1304 deletions(-) delete mode 100644 pyomo/contrib/doe/col_row.col delete mode 100644 pyomo/contrib/doe/col_row.nl delete mode 100644 pyomo/contrib/doe/col_row.row diff --git a/pyomo/contrib/doe/col_row.col b/pyomo/contrib/doe/col_row.col deleted file mode 100644 index 6c651c51c00..00000000000 --- a/pyomo/contrib/doe/col_row.col +++ /dev/null @@ -1,31 +0,0 @@ -A1 -A2 -E1 -E2 -C[CA,0.0] -C[CA,0.125] -C[CA,0.25] -C[CA,0.375] -C[CA,0.5] -C[CA,0.625] -C[CA,0.75] -C[CA,0.875] -C[CA,1.0] -C[CB,0.0] -C[CB,0.125] -C[CB,0.25] -C[CB,0.375] -C[CB,0.5] -C[CB,0.625] -C[CB,0.75] -C[CB,0.875] -C[CB,1.0] -C[CC,0.0] -C[CC,0.125] -C[CC,0.25] -C[CC,0.375] -C[CC,0.5] -C[CC,0.625] -C[CC,0.75] -C[CC,0.875] -C[CC,1.0] diff --git a/pyomo/contrib/doe/col_row.nl b/pyomo/contrib/doe/col_row.nl deleted file mode 100644 index f295fa327f5..00000000000 --- a/pyomo/contrib/doe/col_row.nl +++ /dev/null @@ -1,1239 +0,0 @@ -g3 1 1 0 # problem unknown - 31 27 1 0 27 # vars, constraints, objectives, ranges, eqns - 24 0 0 0 0 0 # nonlinear constrs, objs; ccons: lin, nonlin, nd, nzlb - 0 0 # network constraints: nonlinear, linear - 4 0 0 # nonlinear vars in constraints, objectives, both - 0 0 0 1 # linear network variables; functions; arith, flags - 0 0 0 0 0 # discrete variables: binary, integer, nonlinear (b,c,o) - 107 0 # nonzeros in Jacobian, obj. gradient - 14 11 # max name lengths: constraints, variables - 0 0 0 0 0 # common exprs: b,c,o,c1,o1 -C0 #rate[CA,0.125] -o2 #* -n-2 -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.125 -C1 #rate[CA,0.25] -o2 #* -n-2 -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.25 -C2 #rate[CA,0.375] -o2 #* -n-2 -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.375 -C3 #rate[CA,0.5] -o2 #* -n-2 -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.5 -C4 #rate[CA,0.625] -o2 #* -n-2 -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.625 -C5 #rate[CA,0.75] -o2 #* -n-2 -o44 #exp -o2 #* 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-n-0.3006808876068151 -v2 #E1 -o0 #+ -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.5 -o16 #- -o44 #exp -o2 #* -o16 #- -o2 #* -v1 #A2 -o44 #exp -o2 #* -n-0.3006808876068151 -v3 #E2 -n0.5 -C20 #rate[CC,0.625] -o0 #+ -o2 #* -n2 -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.625 -o2 #* -o3 #/ -o2 #* -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n2 -o0 #+ -o2 #* -v1 #A2 -o44 #exp -o2 #* -n-0.3006808876068151 -v3 #E2 -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -o0 #+ -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.625 -o16 #- -o44 #exp -o2 #* -o16 #- -o2 #* -v1 #A2 -o44 #exp -o2 #* -n-0.3006808876068151 -v3 #E2 -n0.625 -C21 #rate[CC,0.75] -o0 #+ -o2 #* -n2 -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.75 -o2 #* -o3 #/ -o2 #* -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n2 -o0 #+ -o2 #* -v1 #A2 -o44 #exp -o2 #* -n-0.3006808876068151 -v3 #E2 -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -o0 #+ -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.75 -o16 #- -o44 #exp -o2 #* -o16 #- -o2 #* -v1 #A2 -o44 #exp -o2 #* -n-0.3006808876068151 -v3 #E2 -n0.75 -C22 #rate[CC,0.875] -o0 #+ -o2 #* -n2 -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.875 -o2 #* -o3 #/ -o2 #* -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n2 -o0 #+ -o2 #* -v1 #A2 -o44 #exp -o2 #* -n-0.3006808876068151 -v3 #E2 -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -o0 #+ -o44 #exp -o2 #* -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n0.875 -o16 #- -o44 #exp -o2 #* -o16 #- -o2 #* -v1 #A2 -o44 #exp -o2 #* -n-0.3006808876068151 -v3 #E2 -n0.875 -C23 #rate[CC,1.0] -o0 #+ -o2 #* -n2 -o44 #exp -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -o2 #* -o3 #/ -o2 #* -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -n2 -o0 #+ -o2 #* -v1 #A2 -o44 #exp -o2 #* -n-0.3006808876068151 -v3 #E2 -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -o0 #+ -o44 #exp -o16 #- -o2 #* -v0 #A1 -o44 #exp -o2 #* -n-0.3006808876068151 -v2 #E1 -o16 #- -o44 #exp -o16 #- -o2 #* -v1 #A2 -o44 #exp -o2 #* -n-0.3006808876068151 -v3 #E2 -C24 #rate[CA,0.0] -n0 -C25 #rate[CB,0.0] -n0 -C26 #rate[CC,0.0] -n0 -O0 1 #Obj -n0.0 -x31 # initial guess -0 84.79085853498033 -1 371.71773413976416 -2 7.777032028026428 -3 15.047135137500822 -4 2.0 -5 0.719322446055354 -6 0.2587123906995288 -7 0.09304881485140672 -8 0.03346605055073282 -9 0.012036440670982631 -10 0.004329040972625683 -11 0.0015569881707514779 -12 0.0005599882697321022 -13 4.235164736271502e-22 -14 0.9641710429165355 -15 0.9293904918037343 -16 0.6863203566645003 -17 0.4595773835359549 -18 0.29384037884333075 -19 0.18336027583725212 -20 0.11288530579226083 -21 0.06896332740423604 -22 4.235164736271502e-22 -23 0.3165065110281105 -24 0.811897117496737 -25 1.220630828484093 -26 1.5069565659133122 -27 1.6941231804856867 -28 1.8123106831901221 -29 1.8855577060369877 -30 1.930476684326032 -r #27 ranges (rhs's) -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 0.0 -4 2.0 -4 2.0 -4 2.0 -4 2.0 -4 2.0 -4 2.0 -4 2.0 -4 2.0 -4 2.0 -4 0.0 -4 0.0 -b #31 bounds (on variables) -4 84.79085853498033 -4 371.71773413976416 -4 7.777032028026428 -4 15.047135137500822 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -2 0 -k30 #intermediate Jacobian column lengths -24 -40 -64 -80 -81 -82 -83 -84 -85 -86 -87 -88 -89 -90 -91 -92 -93 -94 -95 -96 -97 -98 -99 -100 -101 -102 -103 -104 -105 -106 -J0 3 -5 1 -0 0 -2 0 -J1 3 -6 1 -0 0 -2 0 -J2 3 -7 1 -0 0 -2 0 -J3 3 -8 1 -0 0 -2 0 -J4 3 -9 1 -0 0 -2 0 -J5 3 -10 1 -0 0 -2 0 -J6 3 -11 1 -0 0 -2 0 -J7 3 -12 1 -0 0 -2 0 -J8 5 -14 1 -0 0 -1 0 -2 0 -3 0 -J9 5 -15 1 -0 0 -1 0 -2 0 -3 0 -J10 5 -16 1 -0 0 -1 0 -2 0 -3 0 -J11 5 -17 1 -0 0 -1 0 -2 0 -3 0 -J12 5 -18 1 -0 0 -1 0 -2 0 -3 0 -J13 5 -19 1 -0 0 -1 0 -2 0 -3 0 -J14 5 -20 1 -0 0 -1 0 -2 0 -3 0 -J15 5 -21 1 -0 0 -1 0 -2 0 -3 0 -J16 5 -23 1 -0 0 -1 0 -2 0 -3 0 -J17 5 -24 1 -0 0 -1 0 -2 0 -3 0 -J18 5 -25 1 -0 0 -1 0 -2 0 -3 0 -J19 5 -26 1 -0 0 -1 0 -2 0 -3 0 -J20 5 -27 1 -0 0 -1 0 -2 0 -3 0 -J21 5 -28 1 -0 0 -1 0 -2 0 -3 0 -J22 5 -29 1 -0 0 -1 0 -2 0 -3 0 -J23 5 -30 1 -0 0 -1 0 -2 0 -3 0 -J24 1 -4 1 -J25 1 -13 1 -J26 1 -22 1 diff --git a/pyomo/contrib/doe/col_row.row b/pyomo/contrib/doe/col_row.row deleted file mode 100644 index f45cf86977e..00000000000 --- a/pyomo/contrib/doe/col_row.row +++ /dev/null @@ -1,28 +0,0 @@ -rate[CA,0.125] -rate[CA,0.25] -rate[CA,0.375] -rate[CA,0.5] -rate[CA,0.625] -rate[CA,0.75] -rate[CA,0.875] -rate[CA,1.0] -rate[CB,0.125] -rate[CB,0.25] -rate[CB,0.375] -rate[CB,0.5] -rate[CB,0.625] -rate[CB,0.75] -rate[CB,0.875] -rate[CB,1.0] -rate[CC,0.125] -rate[CC,0.25] -rate[CC,0.375] -rate[CC,0.5] -rate[CC,0.625] -rate[CC,0.75] -rate[CC,0.875] -rate[CC,1.0] -rate[CA,0.0] -rate[CB,0.0] -rate[CC,0.0] -Obj diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index 0a64a316452..de25ca4bb00 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -103,6 +103,7 @@ def __check_inputs(self, check_mode=False): def optimize_doe(self, design_values, if_optimize=True, objective_option='det', scale_nominal_param_value=False, scale_constant_value=1, if_Cholesky=False, L_LB = 1E-10, L_initial=None, + jac_initial=None, fim_initial=None, trace_initial=None, det_initial=None, formula='central', step=0.001, check=True): ''' Optimize DOE problem with design variables being the decisions. @@ -149,6 +150,10 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', self.Cholesky_option = if_Cholesky self.L_LB = L_LB self.L_initial = L_initial + self.jac_initial = jac_initial + self.fim_initial = fim_initial + self.trace_initial = trace_initial + self.det_initial = det_initial self.formula = formula self.step = step self.tee_opt = True @@ -175,7 +180,7 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', time_solve1 = time1_solve-time0_solve - analysis_square = FIM_result(self.param_name, prior_FIM=self.prior_FIM, scale_constant_value=self.scale_constant_value) + analysis_square = FIM_result(self.param_name, self.measurement_variables, self.measurement_timeset, self.measurement_extra_index, prior_FIM=self.prior_FIM, scale_constant_value=self.scale_constant_value) analysis_square.extract_FIM(m, self.design_timeset, result_square, obj=objective_option) @@ -187,7 +192,7 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', time_solve2 = time1_solve2 - time0_solve2 - analysis_optimize = FIM_result(self.param_name, prior_FIM=self.prior_FIM) + analysis_optimize = FIM_result(self.param_name, self.measurement_variables, self.measurement_timeset, self.measurement_extra_index, prior_FIM=self.prior_FIM) analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, obj=objective_option) analysis_optimize.model = m @@ -199,7 +204,7 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', return analysis_square, analysis_optimize else: - analysis_optimize.model = m + analysis_square.model = m time1 = time.time() if self.verbose: @@ -991,7 +996,19 @@ def __create_doe_model(self): ### Define variables # Elements in Jacobian matrix - m.jac = Var(m.y_set, m.para_set, m.tmea_set, initialize=1E-20) + if self.jac_initial is not None: + dict_jac = {} + for i, bu in enumerate(m.y_set): + for j, un in enumerate(m.para_set): + for t, tim in enumerate(m.tmea_set): + dict_jac[(bu,un,tim)] = self.jac_initial[i,j,t] + + def jac_initialize(m,i,j,t): + return dict_jac[(bu,un,tim)] + m.jac = Var(m.y_set, m.para_set, m.tmea_set, initialize=jac_initialize) + + else: + m.jac = Var(m.y_set, m.para_set, m.tmea_set, initialize=1E-20) # Initialize Hessian with an identity matrix def identity_matrix(m,j,d): @@ -999,7 +1016,18 @@ def identity_matrix(m,j,d): return 1 else: return 0 - m.FIM = Var(m.para_set, m.para_set, initialize=identity_matrix) + + if self.fim_initial is not None: + dict_fim = {} + for i, bu in enumerate(m.para_set): + for j, un in enumerate(m.para_set): + dict_fim[(bu, un)] = self.fim_initial[i][j] + + def initialize_fim(m, j, d): + return dict_fim[(j,d)] + m.FIM = Var(m.para_set, m.para_set, initialize=initialize_fim) + else: + m.FIM = Var(m.para_set, m.para_set, initialize=identity_matrix) if self.objective_option=='trace': # Trace of FIM @@ -1057,6 +1085,7 @@ def jac_numerical(m,j,p,t): ind = self.measurement_extra_index[j][0] up_C = eval('m.' + j + '[' + str(scenario_all['jac-index'][p][0]) + ',' + str(ind) + ',' + str(t) + ']') lo_C = eval('m.' + j + '[' + str(scenario_all['jac-index'][p][1]) + ',' + str(ind) + ',' + str(t) + ']') + return m.jac[j,p,t] == (up_C - lo_C)/scenario_all['eps-abs'][p] *self.scale_constant_value #A constraint to calculate elements in Hessian matrix @@ -1555,6 +1584,9 @@ def __init__(self, para_name, measurement_variables, measurement_timeset, measur Parameters: ----------- para_name: parameter names + measurement_variables: measurement variable names + measurement_timeset: measurement variable control timeset + measurement_extra_index: measurement indexes other than time prior_FIM: if there's prior FIM to be added store_FIM: if storing the FIM in a .csv, give the file name here as a string, '**.csv' or '**.txt'. scale_constant_value: the constant value used to scale the sensitivity @@ -1580,7 +1612,9 @@ def calculate_FIM(self, jaco_information, dv_values, jaco_involved_name=None, ja ----------- jaco_info: jacobian dictionary dv_values: design variable value dictionary - sq_result: solver status returned by IPOPT + jaco_involved_name: variables involved in calculating jacobian + jaco_involved_extra_index: variable extra indexes involved in calculating jacobian + result: solver status returned by IPOPT Return: ------ From 2102f24f148ba56bafbcebce5560298950398523 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Mon, 4 Oct 2021 20:17:31 -0400 Subject: [PATCH 39/42] resolve some reviews --- pyomo/contrib/doe/fim_doe.py | 47 +++++++++++++++++++++++++++--------- 1 file changed, 36 insertions(+), 11 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index de25ca4bb00..add348c2632 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -61,7 +61,7 @@ def __init__(self, param_init, design_variable_timepoints, measurement_variables self.solver = solver # if not given, use default solver else: - self.solver = self.__solve_with_default_ipopt() + self.solver = self.__get_default_ipopt_solver() # check if discretization is needed self.discretize_model = discretize_model @@ -83,11 +83,11 @@ def __check_inputs(self, check_mode=False): raise ValueError('Error: Objective function should be chosen from "det", "zero" and "trace"') if self.formula not in ['central', 'forward', 'backward', None]: - raise ValueError('Error: Finite difference scheme should be chosen from "central", "forward", "backward" and "none".') + raise ValueError('Error: Finite difference scheme should be chosen from "central", "forward", "backward" and None.') if self.prior_FIM is not None: - assert (np.shape(self.prior_FIM)[0] == np.shape(self.prior_FIM)[1]), \ - 'Expect prior information matrix shape: ['+str(len(self.param_name))+','+str(len(self.param_name)) +']' + if not (np.shape(self.prior_FIM)[0] == np.shape(self.prior_FIM)[1]): + raise ValueError('Found wrong prior information matrix shape.') if self.scale_nominal_param_value: print('Sensitivity information is scaled by its corresponding parameter nominal value.') @@ -97,7 +97,7 @@ def __check_inputs(self, check_mode=False): if check_mode: if self.mode not in ['simultaneous_finite', 'sequential_finite', 'sequential_sipopt', 'sequential_kaug', 'direct_kaug']: - print('Wrong mode. Choose from "simultaneous_finite", "sequential_finite", "0sequential_sipopt", "sequential_kaug"') + raise ValueError('Wrong mode. Choose from "simultaneous_finite", "sequential_finite", "0sequential_sipopt", "sequential_kaug"') @@ -180,9 +180,13 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', time_solve1 = time1_solve-time0_solve + # create result object analysis_square = FIM_result(self.param_name, self.measurement_variables, self.measurement_timeset, self.measurement_extra_index, prior_FIM=self.prior_FIM, scale_constant_value=self.scale_constant_value) - analysis_square.extract_FIM(m, self.design_timeset, result_square, obj=objective_option) + # for simultaneous mode, FIM and Jacobian are extracted with extract_FIM() + analysis_square.extract_FIM(m, self.design_timeset, result_square, y_set=self.measurement_variables, t_all_set=self.time_set, obj=objective_option) + self.analysis_square = analysis_square + analysis_square.solve_time = time_solve1 if self.optimize: # solve problem with DOF then @@ -192,11 +196,16 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', time_solve2 = time1_solve2 - time0_solve2 + # create result object analysis_optimize = FIM_result(self.param_name, self.measurement_variables, self.measurement_timeset, self.measurement_extra_index, prior_FIM=self.prior_FIM) - analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, obj=objective_option) + # for simultaneous mode, FIM and Jacobian are extracted with extract_FIM() + analysis_optimize.extract_FIM(m, self.design_timeset, result_doe, y_set=self.measurement_variables, t_all_set=self.time_set, obj=objective_option) analysis_optimize.model = m time1 = time.time() + + analysis_optimize.solve_time = time_solve2 + analysis_optimize.total_time = time1-time0 if self.verbose: print('Total solve time with simultaneous_finite mode (Wall clock) [s]:', time_solve1 + time_solve2) print('Total wall clock time [s]:', time1-time0) @@ -207,6 +216,8 @@ def optimize_doe(self, design_values, if_optimize=True, objective_option='det', analysis_square.model = m time1 = time.time() + + analysis_square.total_time = time1-time0 if self.verbose: print('Total solve time with simultaneous_finite mode (Wall clock) [s]:', time_solve1) print('Total wall clock time [s]:', time1 - time0) @@ -227,7 +238,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No multiple scenarios. Sensitivity info estimated by finite difference 3. sequential_sipopt: calculate sensitivity by sIPOPT. 4. sequential_kaug: calculate sensitivity by k_aug - 5, direct_kaug: calculate sensitivity by k_aug with direct sensitivity. **In construction** + 5. direct_kaug: calculate sensitivity by k_aug with direct sensitivity. **In construction** Parameters: ----------- @@ -400,7 +411,8 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No else: prior_in_use = specified_prior - FIM_analysis = FIM_result(self.param_name, self.measurement_variables, self.measurement_timeset, self.measurement_extra_index, prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) + FIM_analysis = FIM_result(self.param_name, self.measurement_variables, self.measurement_timeset, self.measurement_extra_index, + prior_FIM=prior_in_use, store_FIM=FIM_store_name, scale_constant_value=self.scale_constant_value) # Store the Jacobian information for access by users @@ -970,6 +982,7 @@ def __create_doe_model(self): time_set=[] for t in m.t: time_set.append(value(t)) + self.time_set = time_set # create parameter, measurement, time and measurement time set m.para_set = Set(initialize=self.param_name) @@ -1221,7 +1234,7 @@ def __fix_design(self, m, design_val, fix_opt=True): newvar.unfix() return m - def __solve_with_default_ipopt(self): + def __get_default_ipopt_solver(self): ''' Default solver ''' solver = SolverFactory('ipopt') @@ -1691,7 +1704,7 @@ def calculate_FIM(self, jaco_information, dv_values, jaco_involved_name=None, ja if (self.store_FIM is not None): self.__store_FIM() - def extract_FIM(self, m, dv_set, result, obj=None, add_fim=False): + def extract_FIM(self, m, dv_set, result, y_set=None, t_all_set=None, obj=None, add_fim=False): ''' Extract FIM from an invasive model @@ -1728,6 +1741,18 @@ def extract_FIM(self, m, dv_set, result, obj=None, add_fim=False): self.obj = obj no_para = len(self.para_name) + # extract Jacobian information + if y_set is not None: + no_y = len(y_set) + no_t = len(t_all_set) + JAC = np.ones((no_y, no_para, no_t)) + for n1, name1 in enumerate(y_set): + for n2, name2 in enumerate(self.para_name): + for t, tim in enumerate(t_all_set): + JAC[n1, n2, t] = value(m.jac[name1, name2, tim]) + print('JAC is:', JAC) + self.jac_extracted = JAC + # Extract FIM infomation FIM = np.ones((no_para, no_para)) # loop over row From 3a5749831201ff4f430635671fd6da528a67fbfc Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Mon, 4 Oct 2021 20:50:03 -0400 Subject: [PATCH 40/42] organize this folder --- pyomo/contrib/doe/dynamic.csv | 5 - pyomo/contrib/doe/fixed_bed_doe.ipynb | 2134 ++++++++++------- .../doe/fixed_bed_model_indexed_dynamic.py | 4 +- pyomo/contrib/doe/get_sensitivity.py | 286 --- pyomo/contrib/doe/k_aug.py | 141 -- .../contrib/doe/k_aug_examples/optimize.ipynb | 521 ++++ .../doe/k_aug_examples/otpimize_example.ipynb | 427 ++++ .../priors/20210916_feed293_bath293_5e3.csv | 1381 +++++++++++ .../priors/20210916_feed293_bath303_5e3.csv | 1381 +++++++++++ .../priors/20210916_feed293_bath303_5e6.csv | 1381 +++++++++++ .../priors/20210916_feed293_bath313_5e4.csv | 1381 +++++++++++ .../doe/priors/20210916_feed313_bath293.csv | 1381 +++++++++++ .../priors/20210916_feed313_bath293_5e3.csv | 1381 +++++++++++ .../priors/20210916_feed313_bath303_5e3.csv | 1381 +++++++++++ .../priors/20210916_feed313_bath313_5e3.csv | 1381 +++++++++++ .../priors/20210916_feed343_bath293_5e3.csv | 1381 +++++++++++ .../priors/20210916_feed343_bath303_5e3.csv | 1381 +++++++++++ pyomo/contrib/doe/reactor_sens_rp_update.py | 273 --- pyomo/contrib/doe/scenario_simultaneous | Bin 551 -> 0 bytes pyomo/contrib/doe/test_heatmap.csv | 82 - 20 files changed, 16000 insertions(+), 1683 deletions(-) delete mode 100644 pyomo/contrib/doe/dynamic.csv delete mode 100644 pyomo/contrib/doe/get_sensitivity.py delete mode 100644 pyomo/contrib/doe/k_aug.py create mode 100644 pyomo/contrib/doe/k_aug_examples/optimize.ipynb create mode 100644 pyomo/contrib/doe/k_aug_examples/otpimize_example.ipynb create mode 100644 pyomo/contrib/doe/priors/20210916_feed293_bath293_5e3.csv create mode 100644 pyomo/contrib/doe/priors/20210916_feed293_bath303_5e3.csv create mode 100644 pyomo/contrib/doe/priors/20210916_feed293_bath303_5e6.csv create mode 100644 pyomo/contrib/doe/priors/20210916_feed293_bath313_5e4.csv create mode 100644 pyomo/contrib/doe/priors/20210916_feed313_bath293.csv create mode 100644 pyomo/contrib/doe/priors/20210916_feed313_bath293_5e3.csv create mode 100644 pyomo/contrib/doe/priors/20210916_feed313_bath303_5e3.csv create mode 100644 pyomo/contrib/doe/priors/20210916_feed313_bath313_5e3.csv create mode 100644 pyomo/contrib/doe/priors/20210916_feed343_bath293_5e3.csv create mode 100644 pyomo/contrib/doe/priors/20210916_feed343_bath303_5e3.csv delete mode 100644 pyomo/contrib/doe/reactor_sens_rp_update.py delete mode 100644 pyomo/contrib/doe/scenario_simultaneous delete mode 100644 pyomo/contrib/doe/test_heatmap.csv diff --git a/pyomo/contrib/doe/dynamic.csv b/pyomo/contrib/doe/dynamic.csv deleted file mode 100644 index f54bdb8517f..00000000000 --- a/pyomo/contrib/doe/dynamic.csv +++ /dev/null @@ -1,5 +0,0 @@ -A1,A2,E1,E2 -46.3444733121616,24.159431853466423,-111.81903475475553,-100.64889224999257 -24.159431853466423,57.1699277062438,-42.450304450495025,-263.9709490806298 --111.81903475475553,-42.450304450495025,292.5001910201373,182.04332037954907 --100.64889224999257,-263.9709490806298,182.04332037954907,1280.4914653531032 diff --git a/pyomo/contrib/doe/fixed_bed_doe.ipynb b/pyomo/contrib/doe/fixed_bed_doe.ipynb index 8b0bd32b429..865faacac43 100644 --- a/pyomo/contrib/doe/fixed_bed_doe.ipynb +++ b/pyomo/contrib/doe/fixed_bed_doe.ipynb @@ -113,7 +113,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "id": "f0dc7a42", "metadata": {}, "outputs": [], @@ -135,13 +135,13 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "id": "a7f8e4a2", "metadata": {}, "outputs": [], "source": [ "def model_integrate(scena, args_list, exp_time=exp_time_, init_point=initialize_point):\n", - " test = create_model(scena, temp_feed=293.15, temp_bath=303.15, y=0.2, doe_model=args_list[0], k_aug=args_list[1], opt=False, diff=0)\n", + " test = create_model(scena, temp_feed=293.15, temp_bath=293.15, y=0.4, doe_model=args_list[0], k_aug=args_list[1], opt=False, diff=0)\n", " add_model(test, exp_time)\n", " discretize(test)\n", " initialize(test, init_point)\n", @@ -150,7 +150,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 6, "id": "d03b6e85", "metadata": {}, "outputs": [], @@ -172,14 +172,14 @@ "dv_pass = {'temp_feed': None, 'yfeed': None}\n", "\n", "measurement = ['FCO2', 'temp']\n", - "measurement_extra = {'FCO2': [19], 'temp': [19]}\n", + "measurement_extra = {'FCO2': [19], 'temp': [10, 19]}\n", "\n", "t_measure = exp_time_\n" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 7, "id": "0d155ff6", "metadata": {}, "outputs": [ @@ -211,6 +211,64 @@ "print('Eigenvalue of the prior experiments FIM:', np.linalg.eigh(prior_pass)[1])" ] }, + { + "cell_type": "code", + "execution_count": 32, + "id": "e19d4a0d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[0.0541581 0. ]\n", + " [0.22835955 0.8158946 ]]\n" + ] + } + ], + "source": [ + "fim_init = [[0.0029331 , 0.01236752],\n", + " [0.01236752 , 0.71783208]]\n", + "\n", + "#f2 = open('jac_initial', 'rb')\n", + "#jac_init = pickle.load(f2)\n", + "#f2.close()\n", + "\n", + "jac_init = jac_init_1.copy()\n", + " \n", + "l_init = np.linalg.cholesky(fim_init)\n", + "print(l_init)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "a53c3c96", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{}\n" + ] + } + ], + "source": [ + "import os\n", + "\n", + "scores = {} # scores is an empty dict already\n", + "target='jac_initial'\n", + "if os.path.getsize(target) > 0: \n", + " with open(target, \"rb\") as f:\n", + " unpickler = pickle.Unpickler(f)\n", + " # if file is not empty scores will be equal\n", + " # to the value unpickled\n", + " scores = unpickler.load()\n", + " \n", + "print(scores)" + ] + }, { "cell_type": "markdown", "id": "b1879150", @@ -234,7 +292,7 @@ "#sensi_opt = 'direct_kaug'\n", "\n", "# feed, bath, y\n", - "exp1 = generate_exp(313.15, 293.15, 0.15)" + "exp1 = generate_exp(293.15, 293.15, 0.4)" ] }, { @@ -435,7 +493,7 @@ }, { "cell_type": "markdown", - "id": "dc04f28f", + "id": "5d9677e3", "metadata": {}, "source": [ "## Gradient-based optimization " @@ -443,8 +501,8 @@ }, { "cell_type": "code", - "execution_count": 16, - "id": "2313c6b4", + "execution_count": 33, + "id": "5245c36b", "metadata": {}, "outputs": [], "source": [ @@ -455,9 +513,11 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "e8c69da1", - "metadata": {}, + "execution_count": 35, + "id": "44d47c9a", + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", @@ -509,167 +569,80 @@ " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -0.0000000e+00 1.09e+02 3.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (11612042)\n", - " 1 2.0014678e-03 1.09e+02 4.99e+02 -1.0 1.00e+01 - 5.00e-01 1.00e-03h 1\n", - " 2r 2.0014678e-03 1.09e+02 9.99e+02 2.0 0.00e+00 - 0.00e+00 3.11e-07R 6\n", - " 3r 1.8052237e-02 6.48e+01 1.58e+03 2.0 1.03e+05 - 9.40e-05 1.05e-03f 1\n", - " 4r 2.3298155e-02 6.76e+01 1.03e+05 1.3 1.64e-01 4.0 1.00e+00 1.00e+00f 1\n", - " 5r 2.2859679e-02 5.55e+01 9.48e+04 1.3 2.84e-02 5.3 6.41e-01 1.00e+00f 1\n", - " 6r 2.2393861e-02 5.46e+01 4.39e+03 1.3 1.43e-02 4.9 1.00e+00 1.00e+00f 1\n", - " 7r 2.2312270e-02 5.45e+01 1.05e+03 1.3 4.41e-02 4.4 1.00e+00 1.00e+00f 1\n", - " 8r 2.2438985e-02 5.44e+01 1.05e+03 1.3 1.67e-02 4.8 1.00e+00 1.00e+00f 1\n", - " 9r 2.3095387e-02 5.42e+01 1.06e+03 1.3 5.01e-02 4.3 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 2.2032293e-02 5.36e+01 1.47e+03 1.3 1.50e-01 3.8 1.00e+00 1.00e+00f 1\n", - " 11r 2.1233941e-02 5.34e+01 1.59e+03 1.3 5.55e-02 4.3 1.00e+00 1.00e+00f 1\n", - " 12r 1.9006260e-02 5.28e+01 2.53e+03 1.3 1.66e-01 3.8 1.00e+00 1.00e+00f 1\n", - " 13r 1.8098133e-02 5.25e+01 2.84e+03 1.3 6.18e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 14r 1.5368686e-02 5.18e+01 2.26e+03 1.3 1.84e-01 3.7 1.00e+00 1.00e+00f 1\n", - " 15r 1.1828285e-02 5.10e+01 2.26e+03 1.3 5.46e-01 3.3 1.00e+00 4.06e-01f 1\n", - " 16r 9.1098583e-03 5.03e+01 2.35e+03 1.3 2.03e-01 3.7 1.00e+00 8.26e-01f 1\n", - " 17r 4.9561135e-03 4.94e+01 2.40e+03 1.3 6.11e-01 3.2 1.00e+00 4.13e-01f 1\n", - " 18r 2.0582529e-03 4.88e+01 2.37e+03 1.3 2.29e-01 3.6 1.00e+00 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"iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r-3.3222858e-02 4.09e+01 1.59e+03 1.3 4.64e-01 3.3 1.00e+00 4.72e-01f 1\n", - " 31r-3.9568492e-02 3.97e+01 1.96e+03 1.3 1.39e+00 2.9 1.00e+00 2.82e-01f 1\n", - " 32r-4.4296813e-02 3.88e+01 1.95e+03 1.3 5.22e-01 3.3 1.00e+00 5.50e-01f 1\n", - " 33r-5.1429139e-02 3.77e+01 3.04e+03 1.3 1.57e+00 2.8 1.00e+00 2.82e-01f 1\n", - " 34r-5.6210080e-02 3.70e+01 2.14e+03 1.3 5.88e-01 3.2 1.00e+00 4.97e-01f 1\n", - " 35r-6.4043914e-02 9.81e+01 1.39e+04 1.3 3.12e+00 2.8 2.63e-01 2.76e-01f 1\n", - " 36r-6.4237605e-02 8.50e+01 1.22e+04 1.3 5.02e-01 4.1 2.47e-01 1.40e-01f 1\n", - " 37r-6.6955778e-02 4.17e+01 6.79e+03 1.3 3.61e-01 3.6 1.00e+00 6.66e-01f 1\n", - " 38r-7.1389437e-02 3.49e+01 4.74e+03 1.3 7.44e-01 3.1 9.67e-01 3.67e-01f 1\n", - " 39r-7.9719875e-02 3.38e+01 3.77e+03 1.3 2.23e+00 2.7 1.00e+00 2.35e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r-8.5437679e-02 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1\n", - " 74r-1.7136974e-01 3.19e-02 1.60e+02 -0.8 9.37e-02 2.2 1.00e+00 7.88e-01f 1\n", - " 75r-1.7125039e-01 2.93e-02 3.25e+01 -0.8 2.81e-01 1.7 1.00e+00 9.54e-01f 1\n", - " 76r-1.7072246e-01 2.97e-01 4.30e+02 -0.8 8.43e-01 1.3 9.80e-01 5.99e-01f 1\n", - " 77r-1.7071406e-01 2.26e-01 5.73e+02 -0.8 3.11e-01 1.7 1.00e+00 2.45e-01f 1\n", - " 78r-1.7032890e-01 1.84e-01 8.22e+02 -0.8 8.62e-01 1.2 1.00e+00 2.16e-01f 1\n", - " 79r-1.7013438e-01 8.94e-02 6.50e+02 -0.8 3.00e-01 1.6 1.00e+00 5.34e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r-1.6908187e-01 6.48e-02 9.89e+02 -0.8 8.00e-01 1.2 1.00e+00 3.49e-01f 1\n", - " 81r-1.6846738e-01 5.73e-02 2.62e+02 -0.8 2.69e-01 1.6 7.69e-01 6.81e-01f 1\n", - " 82r-1.6834486e-01 5.55e-02 1.22e+03 -0.8 2.10e+00 1.1 3.22e-01 3.27e-02f 1\n", - " 83r-1.6536917e-01 6.79e-02 1.02e+03 -0.8 2.00e+00 0.6 8.45e-01 2.88e-01f 1\n", - " 84r-1.6441750e-01 5.02e-02 1.03e+03 -0.8 5.60e-01 1.1 1.00e+00 3.18e-01f 1\n", - " 85r-1.5725841e-01 9.05e+00 1.91e+02 -0.8 1.38e+00 0.6 1.00e+00 1.00e+00f 1\n", - " 86r-1.5601315e-01 5.41e+00 1.59e+02 -0.8 5.32e-01 1.0 1.00e+00 1.00e+00f 1\n", - " 87r-1.5622268e-01 4.48e+00 6.35e+02 -0.8 9.55e-01 0.5 1.00e+00 1.82e-01f 1\n", - " 88r-1.5751974e-01 1.46e+00 7.34e+01 -0.8 2.87e-01 0.9 1.00e+00 1.00e+00f 1\n", - " 89r-1.5918198e-01 9.71e-01 3.56e+02 -0.8 3.05e-01 0.5 1.00e+00 3.65e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r-1.7062471e-01 9.97e-01 3.17e+01 -0.8 3.21e-01 -0.0 1.00e+00 1.00e+00f 1\n", - " 91r-1.9272890e-01 3.12e+00 6.05e+01 -0.8 5.47e-01 -0.5 1.00e+00 1.00e+00f 1\n", - " 92r-2.0476051e-01 4.29e+00 2.56e+01 -0.8 4.42e-01 -1.0 1.00e+00 1.00e+00f 1\n", - " 93r-2.1073508e-01 5.53e-01 6.53e+00 -0.8 2.91e-01 -0.5 1.00e+00 1.00e+00h 1\n", - " 94r-1.3291998e-01 1.08e+00 2.67e+02 -1.5 9.87e-01 - 1.00e+00 3.10e-01f 1\n", - " 95r 1.8779805e-03 7.07e-01 2.31e+02 -1.5 7.51e-01 -1.0 1.00e+00 6.38e-01f 1\n", - " 96r 1.8024762e-03 5.09e-01 1.30e+02 -1.5 8.20e-02 2.1 2.80e-01 3.06e-01f 1\n", - " 97r 6.6633665e-02 3.45e-01 3.37e+02 -1.5 4.06e-01 - 1.00e+00 3.41e-01f 1\n", - " 98r 2.8268935e-01 3.13e-01 1.00e+02 -1.5 3.43e-01 - 1.00e+00 1.00e+00f 1\n", - " 99r 3.7166463e-01 6.59e-01 6.97e+01 -1.5 2.09e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 3.2034560e-01 1.06e-01 2.62e+01 -1.5 6.45e-02 - 1.00e+00 1.00e+00f 1\n", - " 101r 2.9021170e-01 2.22e-02 6.51e+00 -1.5 3.22e-02 - 1.00e+00 1.00e+00f 1\n", - " 102r 2.8189100e-01 3.58e-03 7.38e-01 -1.5 7.24e-03 - 1.00e+00 1.00e+00h 1\n", - " 103r 3.5521502e-01 1.18e-01 1.99e+02 -2.2 7.51e-01 - 1.00e+00 2.44e-01f 1\n", - " 104r 1.0081982e+00 2.05e-01 1.32e+02 -2.2 5.93e-01 - 1.00e+00 6.07e-01f 1\n", - " 105r 1.5635576e+00 1.14e-01 1.48e+02 -2.2 3.91e-01 - 1.00e+00 6.20e-01f 1\n", - " 106r 1.9773187e+00 7.06e-02 8.01e+01 -2.2 1.78e-01 - 1.00e+00 5.96e-01f 1\n", - " 107r 2.3192001e+00 4.52e-02 7.16e+01 -2.2 1.46e-01 - 6.79e-01 6.79e-01f 1\n", - " 108r 2.3688630e+00 2.86e-02 1.47e+02 -2.2 1.16e-01 - 4.40e-01 6.85e-01f 1\n", - " 109r 2.4371622e+00 1.96e-02 8.14e+01 -2.2 9.03e-02 - 4.93e-01 4.55e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 2.4384131e+00 1.57e-02 1.66e+02 -2.2 5.38e-02 1.6 1.15e-01 2.00e-01f 1\n", - " 111r 2.4384818e+00 1.55e-02 1.65e+02 -2.2 6.69e-01 1.2 1.34e-02 9.23e-03f 1\n", - " 112r 2.4551738e+00 1.45e-02 3.48e+02 -2.2 8.91e-02 - 2.46e-01 6.95e-02f 1\n", - " 113r 2.4591843e+00 3.13e-03 1.54e+02 -2.2 4.59e-03 2.5 6.03e-01 7.85e-01f 1\n", - " 114r 2.4681566e+00 6.62e-03 1.21e+02 -2.2 1.30e-01 - 3.76e-01 3.51e-01f 1\n", - " 115r 2.5437336e+00 8.04e-03 3.87e+02 -2.2 7.10e-02 - 5.23e-01 7.86e-01f 1\n", - " 116r 2.5440475e+00 4.93e-03 4.44e+02 -2.2 1.40e-02 2.0 1.00e+00 3.86e-01f 1\n", - " 117r 2.4711018e+00 3.94e-03 3.52e+02 -2.2 6.48e-02 - 5.49e-01 2.55e-01f 1\n", - " 118r 2.5379939e+00 2.14e-03 1.24e+02 -2.2 2.75e-02 - 1.00e+00 7.25e-01f 1\n", - " 119r 2.5623791e+00 6.28e-04 1.09e+01 -2.2 1.58e-02 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 2.5765664e+00 5.25e-04 1.26e+00 -2.2 5.04e-03 - 1.00e+00 1.00e+00f 1\n", - " 121r 2.5550050e+00 5.23e-04 1.31e-01 -2.2 3.67e-03 - 1.00e+00 1.00e+00h 1\n", - " 122r 3.0072432e+00 5.77e-03 4.04e+02 -3.3 3.74e-01 - 5.04e-01 1.84e-01f 1\n", - " 123r 4.3562608e+00 2.20e-02 3.79e+02 -3.3 4.54e-01 - 5.42e-01 2.93e-01f 1\n", - " 124r 4.4681363e+00 1.87e-02 3.34e+02 -3.3 1.17e-01 - 2.38e-01 1.58e-01f 1\n", - " 125r 4.3145730e+00 1.80e-02 3.16e+02 -3.3 7.07e-01 - 5.86e-02 5.16e-02f 1\n", - " 126r 4.6929399e+00 1.78e-02 2.98e+02 -3.3 5.35e-01 - 6.80e-02 5.70e-02f 1\n", - " 127r 5.3205643e+00 1.84e-02 2.83e+02 -3.3 9.33e-01 - 4.97e-02 4.97e-02f 1\n", - " 128r 5.8047281e+00 1.71e-02 2.50e+02 -3.3 3.11e-01 - 1.65e-01 1.09e-01f 1\n", - " 129r 6.7960912e+00 1.57e-02 2.00e+02 -3.3 3.07e-01 - 3.39e-01 2.32e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r 6.7793469e+00 9.56e-03 1.47e+02 -3.3 1.25e-02 1.5 2.86e-01 3.99e-01f 1\n", - " 131r 6.7402556e+00 8.08e-03 1.08e+02 -3.3 6.85e-02 - 2.28e-01 1.68e-01f 1\n", - " 132r 6.6976943e+00 7.33e-03 2.49e+02 -3.3 6.15e-02 - 1.76e-01 9.47e-02f 1\n", - " 133r 6.6294226e+00 6.68e-03 2.54e+02 -3.3 8.02e-02 - 1.29e-01 9.12e-02f 1\n", - " 134r 6.2858371e+00 4.18e-03 1.99e+03 -3.3 8.54e-02 - 9.34e-02 4.23e-01f 1\n", - " 135r 6.2532754e+00 3.27e-03 1.57e+03 -3.3 2.39e-02 - 2.89e-01 2.17e-01f 1\n", - " 136r 6.2027948e+00 2.30e-03 1.11e+03 -3.3 1.90e-02 - 2.29e-01 2.97e-01f 1\n", - " 137r 6.1446326e+00 8.35e-04 4.00e+02 -3.3 1.06e-02 - 5.26e-01 6.39e-01f 1\n", - " 138r 6.1108704e+00 3.52e-06 2.08e+02 -3.3 1.58e-03 - 6.82e-01 1.00e+00f 1\n", - " 139r 6.1111422e+00 6.92e-07 4.48e-02 -3.3 6.73e-04 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r 6.1112167e+00 6.92e-07 3.07e-05 -3.3 5.11e-06 - 1.00e+00 1.00e+00h 1\n", - " 141r 6.2426902e+00 3.79e-04 4.14e+01 -7.4 2.42e-02 - 1.00e+00 7.80e-01f 1\n", - " 142r 6.2715586e+00 2.46e-04 9.44e+01 -7.4 1.57e-02 - 8.91e-01 6.42e-01f 1\n", - " 143r 6.2616528e+00 8.10e-06 9.74e+00 -7.4 6.54e-04 - 8.85e-01 9.69e-01f 1\n", - " 144r 6.2598410e+00 1.30e-07 4.50e-05 -7.4 3.48e-04 - 1.00e+00 1.00e+00f 1\n", - " 145r 6.2598356e+00 7.28e-11 3.01e-10 -7.4 8.61e-07 - 1.00e+00 1.00e+00h 1\n" + " 0 6.2386356e+00 7.30e+01 3.79e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (11617448)\n", + " 1 1.5619590e+01 7.29e+01 4.19e+03 -1.0 1.85e+02 - 6.40e-01 1.28e-03h 1\n", + "Reallocating memory for MA57: lfact (12936991)\n", + " 2 1.3846976e+01 6.61e+01 1.43e+05 -1.0 7.10e-01 6.0 2.81e-02 9.56e-02f 1\n", + "Reallocating memory for MA57: lfact (15157105)\n", + "Reallocating memory for MA57: lfact (22042970)\n", + " 3r 1.3846976e+01 6.61e+01 9.99e+02 1.8 0.00e+00 5.5 0.00e+00 2.98e-07R 5\n", + " 4r 1.3733847e+01 5.62e+01 9.82e+02 1.8 6.53e+04 - 4.38e-02 3.16e-04f 1\n", + " 5r 1.1823227e+01 1.93e+01 4.52e+03 1.1 1.04e+03 - 2.27e-01 4.36e-02f 1\n", + " 6r 6.2989195e+00 9.63e+00 1.66e+04 1.1 1.22e-01 4.0 1.00e+00 1.00e+00f 1\n", + " 7r 6.0292653e+00 7.37e+00 1.81e+03 1.1 3.03e-01 3.5 7.16e-01 6.40e-01f 1\n", + " 8r 5.6978953e+00 4.92e+00 1.68e+03 1.1 8.77e-01 3.0 1.00e+00 3.17e-01f 1\n", + " 9r 5.1743356e+00 2.20e+00 2.36e+03 1.1 2.22e+00 2.6 1.00e+00 1.95e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 4.7632601e+00 1.03e+00 3.55e+03 1.1 4.33e-01 3.0 1.00e+00 3.66e-01f 1\n", + " 11r 4.4167273e+00 2.55e-01 8.18e+03 1.1 3.70e-02 3.4 1.00e+00 1.00e+00f 1\n", + " 12r 3.8418429e+00 4.11e-01 2.22e+03 1.1 8.70e-02 2.9 1.00e+00 1.00e+00f 1\n", + " 13r 3.6614387e+00 4.82e-02 1.27e+02 1.1 3.51e-02 3.4 1.00e+00 1.00e+00f 1\n", + " 14r 3.5908828e+00 1.90e-01 5.44e+02 0.4 4.46e-02 2.9 1.00e+00 1.00e+00f 1\n", + " 15r 3.3450437e+00 2.04e-01 9.09e+01 0.4 5.33e-02 2.4 1.00e+00 1.00e+00f 1\n", + " 16r 3.2687592e+00 1.41e-01 1.10e+02 -0.3 7.51e-02 1.9 1.00e+00 1.00e+00f 1\n", + " 17r 2.9999550e+00 6.35e-01 3.35e+01 -0.3 1.09e-01 1.5 1.00e+00 1.00e+00f 1\n", + " 18r 2.9151878e+00 9.98e-02 1.83e+01 -0.3 3.99e-02 1.9 1.00e+00 1.00e+00f 1\n", + " 19r 2.9155385e+00 1.11e-01 7.20e+01 -1.0 1.18e-01 1.4 1.00e+00 9.82e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 2.8625446e+00 3.19e-01 1.36e+02 -1.0 3.49e-01 0.9 1.00e+00 8.18e-01f 1\n", + " 21r 2.8438552e+00 2.91e-01 6.00e+02 -1.0 1.52e+00 0.5 1.00e+00 9.51e-02f 1\n", + " 22r 2.7757488e+00 2.19e-01 6.45e+01 -1.0 3.53e-01 0.9 1.00e+00 1.00e+00f 1\n", + " 23r 2.7480524e+00 8.93e-01 1.07e+03 -1.0 1.13e+00 0.4 6.81e-01 1.77e-01f 1\n", + " 24r 2.7043002e+00 5.16e-01 1.24e+02 -1.0 2.35e-01 0.8 1.00e+00 7.29e-01f 1\n", + " 25r 2.6761643e+00 1.95e-01 5.55e+01 -1.0 7.03e-02 1.3 1.00e+00 1.00e+00f 1\n", + " 26r 2.5917308e+00 5.04e-02 8.71e+00 -1.0 1.19e-01 0.8 1.00e+00 1.00e+00f 1\n", + " 27r 2.4271465e+00 4.65e-01 7.37e+01 -1.0 3.90e-01 0.3 1.00e+00 1.00e+00f 1\n", + " 28r 2.2805759e+00 1.59e+00 4.49e+02 -1.0 1.88e+00 - 7.01e-01 3.25e-01f 1\n", + " 29r 2.0128265e+00 1.27e+00 6.64e+01 -1.0 6.74e-01 - 1.00e+00 9.12e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 1.9858174e+00 1.03e-01 3.92e+01 -1.0 1.83e-01 - 1.00e+00 1.00e+00f 1\n", + " 31r 1.9881684e+00 2.51e-02 3.52e-01 -1.0 4.74e-02 - 1.00e+00 1.00e+00h 1\n", + " 32r 2.3902794e+00 7.90e-01 3.94e+02 -2.5 1.69e+00 - 8.52e-01 3.41e-01f 1\n", + " 33r 2.5224680e+00 8.43e-01 4.07e+02 -2.5 1.80e+00 - 8.83e-01 2.35e-01f 1\n", + " 34r 3.3010012e+00 7.79e-01 2.04e+02 -2.5 8.05e-01 - 1.00e+00 5.44e-01f 1\n", + " 35r 4.0214734e+00 5.75e-01 1.86e+02 -2.5 7.16e-01 - 8.13e-01 3.86e-01f 1\n", + " 36r 4.9835283e+00 4.13e-01 1.78e+02 -2.5 5.93e-01 - 9.92e-01 4.90e-01f 1\n", + " 37r 5.6173378e+00 2.62e-01 1.59e+02 -2.5 4.24e-01 - 4.90e-01 4.97e-01f 1\n", + " 38r 5.8439841e+00 1.88e-01 2.71e+02 -2.5 3.23e-01 - 1.00e+00 3.36e-01f 1\n", + " 39r 5.8826668e+00 1.68e-01 1.19e+02 -2.5 2.59e-01 - 9.64e-02 1.15e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 5.9638327e+00 1.26e-01 1.65e+02 -2.5 2.46e-01 - 1.47e-01 2.82e-01f 1\n", + " 41r 6.0497765e+00 7.86e-02 2.07e+02 -2.5 2.13e-01 - 2.50e-01 4.77e-01f 1\n", + " 42r 6.0635439e+00 6.62e-02 1.73e+02 -2.5 1.70e-01 - 2.72e-01 1.72e-01f 1\n", + " 43r 6.0795699e+00 3.64e-02 6.32e+01 -2.5 1.57e-01 - 4.87e-01 6.45e-01f 1\n", + " 44r 6.0709390e+00 3.09e-02 1.38e+02 -2.5 1.20e-01 - 2.72e-01 1.67e-01f 1\n", + " 45r 5.9898303e+00 1.76e-02 1.07e+02 -2.5 1.11e-01 - 3.31e-01 6.29e-01f 1\n", + " 46r 5.8797712e+00 1.17e-02 1.29e+02 -2.5 8.56e-02 - 3.30e-01 4.27e-01f 1\n", + " 47r 5.8759039e+00 7.55e-03 1.51e+02 -2.5 7.15e-02 - 3.12e-01 4.90e-01f 1\n", + " 48r 5.8725846e+00 4.61e-03 2.94e+02 -2.5 5.86e-02 - 2.96e-01 6.20e-01f 1\n", + " 49r 5.8384262e+00 2.73e-03 2.18e+02 -2.5 4.40e-02 - 3.77e-01 6.20e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 5.8270210e+00 1.38e-03 9.71e+01 -2.5 2.47e-02 - 5.45e-01 5.94e-01f 1\n", + " 51r 5.8149344e+00 5.34e-04 1.30e+02 -2.5 1.52e-02 - 1.00e+00 7.21e-01f 1\n", + " 52r 5.8097976e+00 1.20e-04 4.67e+00 -2.5 4.04e-03 - 1.00e+00 1.00e+00f 1\n", + " 53r 5.8098512e+00 1.20e-04 1.94e+00 -2.5 5.27e-04 - 1.00e+00 1.00e+00h 1\n", + " 54r 5.8098242e+00 1.20e-04 4.78e-03 -2.5 3.57e-05 - 1.00e+00 1.00e+00h 1\n", + " 55r 6.0757948e+00 2.76e-03 3.47e+02 -5.7 2.49e-01 - 9.75e-01 1.99e-01f 1\n", + " 56r 5.8513199e+00 1.72e-02 2.94e+02 -5.7 2.75e-01 - 8.77e-01 4.35e-01f 1\n", + " 57r 6.0451294e+00 1.22e-02 2.64e+02 -5.7 4.60e-02 - 5.52e-01 2.94e-01f 1\n", + " 58r 6.1334375e+00 9.07e-03 1.97e+02 -5.7 2.62e-02 - 2.63e-01 2.59e-01f 1\n", + " 59r 6.2178691e+00 5.40e-03 2.62e+02 -5.7 1.17e-02 - 1.42e-01 4.05e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 6.2414361e+00 1.40e-03 1.73e+02 -5.7 5.51e-03 - 3.34e-01 7.47e-01f 1\n", + " 61r 6.2403127e+00 8.28e-05 2.32e+01 -5.7 3.10e-03 - 8.32e-01 9.49e-01f 1\n", + " 62r 6.2386660e+00 2.49e-07 1.91e-02 -5.7 4.62e-04 - 1.00e+00 1.00e+00f 1\n", + " 63r 6.2386510e+00 3.49e-10 5.04e-07 -5.7 2.69e-06 - 1.00e+00 1.00e+00h 1\n" ] }, { @@ -677,38 +650,111 @@ "output_type": "stream", "text": [ "\n", - "Number of Iterations....: 145\n", + "Number of Iterations....: 63\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: 6.2598356165211637e+00 6.2598356165211637e+00\n", - "Dual infeasibility......: 1.8401383972133090e-06 1.8401383972133090e-06\n", - "Constraint violation....: 2.9590072254427613e-12 7.2759576141834259e-11\n", + "Objective...............: 6.2386509881506607e+00 6.2386509881506607e+00\n", + "Dual infeasibility......: 1.4166397477310966e-06 1.4166397477310966e-06\n", + "Constraint violation....: 1.2228640409311931e-11 3.4924596548080450e-10\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.9590072254427613e-12 1.8401383972133090e-06\n", + "Overall NLP error.......: 1.2228640409311931e-11 1.4166397477310966e-06\n", "\n", "\n", - "Number of objective function evaluations = 152\n", - "Number of objective gradient evaluations = 4\n", - "Number of equality constraint evaluations = 152\n", + "Number of objective function evaluations = 70\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 70\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 147\n", + "Number of equality constraint Jacobian evaluations = 65\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 145\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 67.679\n", - "Total CPU secs in NLP function evaluations = 32.908\n", + "Number of Lagrangian Hessian evaluations = 63\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 47.223\n", + "Total CPU secs in NLP function evaluations = 13.766\n", "\n", "EXIT: Optimal Solution Found.\n", - "FIM: [[0.0031686 0.01191217]\n", - " [0.01191217 0.64806589]]\n", - "Trace: 0.6512344827767854\n", - "Determinant: 0.001911559999671733\n", - "Condition number: 219.8594536226242\n", - "Minimal eigen value: 0.002948637570613255\n", - "Eigen values: [0.00294864 0.64828585]\n", - "Eigen vectors: [[-0.99982956 -0.01846197]\n", - " [ 0.01846197 -0.99982956]]\n", - "Model objective: -6.259835616521164\n", - "Objective(determinant) is: 0.0019115599996897873\n", + "JAC is: [[[-5.32362827e-18 1.36025562e-08 9.30113157e-09 6.92968634e-09\n", + " 4.83163986e-09 3.46162122e-09 2.37348141e-09 1.95516403e-09\n", + " 2.09341654e-09 3.09019264e-09 5.43084141e-09 9.40084653e-09\n", + " 1.67233371e-08 2.77878258e-08 4.71927078e-08 7.55723110e-08\n", + " 1.24017899e-07 1.94214282e-07 3.08582895e-07 4.76728773e-07\n", + " 7.27343909e-07 1.11086614e-06 1.61059757e-06 2.41883617e-06\n", + " 3.30295726e-06 4.84464313e-06 6.21695029e-06 8.84105906e-06\n", + " 1.07719737e-05 1.45442399e-05 1.73674788e-05 2.15212062e-05\n", + " 2.64912777e-05 2.91853753e-05 3.89167919e-05 3.68602742e-05\n", + " 5.52676791e-05 4.38544807e-05 7.61447575e-05 7.18521992e-05\n", + " 5.79402767e-05 4.41703559e-05 3.13015135e-05 1.97147187e-05\n", + " 9.57779841e-06 9.22804310e-07 -6.30229526e-06 -1.21987800e-05\n", + " -1.68938047e-05 -2.05249263e-05 -2.32300984e-05 -2.51414412e-05\n", + " -2.63816035e-05 -2.70618829e-05 -2.72815199e-05 -2.71277554e-05\n", + " -2.66763642e-05 -2.59924675e-05 -2.51314886e-05 -2.41401612e-05\n", + " -2.30575309e-05 -2.19159116e-05 -2.07417773e-05 -1.95565747e-05\n", + " -1.83774559e-05 -1.72179280e-05 -1.60884264e-05 -1.49968149e-05\n", + " -1.39488200e-05]\n", + " [-5.13389719e-18 -2.16545307e-10 -1.37054686e-12 -8.70667847e-12\n", + " -2.15134998e-12 -1.51695430e-11 -1.74864029e-11 -3.82373852e-11\n", + " -6.49084563e-11 -1.13795608e-10 -2.05249279e-10 -3.40435192e-10\n", + " -6.08589720e-10 -9.85542617e-10 -1.73727971e-09 -2.76622829e-09\n", + " -4.79444023e-09 -7.55245027e-09 -1.26717116e-08 -1.99414370e-08\n", + " -3.17176969e-08 -5.02964361e-08 -7.48331246e-08 -1.19366605e-07\n", + " -1.65069006e-07 -2.62118627e-07 -3.37964133e-07 -5.23731109e-07\n", + " -6.42566067e-07 -9.32595069e-07 -1.14222380e-06 -1.47919910e-06\n", + " -1.92526282e-06 -2.15823593e-06 -3.11958348e-06 -2.97842513e-06\n", + " -4.84591673e-06 -3.98455789e-06 -7.23139635e-06 -7.47706491e-06\n", + " -6.59049958e-06 -5.52817103e-06 -4.40983127e-06 -3.31407346e-06\n", + " -2.29099988e-06 -1.36964208e-06 -5.63982127e-07 1.22375895e-07\n", + " 6.92690703e-07 1.15450253e-06 1.51777999e-06 1.79362130e-06\n", + " 1.99336964e-06 2.12803314e-06 2.20792512e-06 2.24246124e-06\n", + " 2.24006586e-06 2.20815263e-06 2.15315373e-06 2.08057930e-06\n", + " 1.99509404e-06 1.90060173e-06 1.80033158e-06 1.69692240e-06\n", + " 1.59250176e-06 1.48875904e-06 1.38701144e-06 1.28826302e-06\n", + " 1.19326090e-06]]\n", + "\n", + " [[-5.32362827e-18 -2.26986646e-10 1.84112175e-10 3.22300632e-10\n", + " 6.26750087e-10 1.23196626e-09 2.31481129e-09 4.21993132e-09\n", + " 7.51017487e-09 1.28649476e-08 2.20667888e-08 3.61660291e-08\n", + " 6.05616088e-08 9.61309922e-08 1.58024442e-07 2.44551508e-07\n", + " 3.93134676e-07 5.94083567e-07 9.18158941e-07 1.35167238e-06\n", + " 1.95673510e-06 2.79734569e-06 3.71870595e-06 5.17684982e-06\n", + " 6.27637222e-06 8.61647190e-06 9.54416427e-06 1.30148793e-05\n", + " 1.33576830e-05 1.75102218e-05 1.75563566e-05 2.02965369e-05\n", + " 2.22884352e-05 1.98222741e-05 2.83575605e-05 1.54640291e-05\n", + " 4.76195678e-05 4.94106807e-05 -4.13921722e-05 -5.90047337e-05\n", + " -5.63534660e-05 -5.15333018e-05 -4.56247792e-05 -3.93424898e-05\n", + " -3.31363827e-05 -2.72781082e-05 -2.19193366e-05 -1.71317154e-05\n", + " -1.29344831e-05 -9.31357107e-06 -6.23477051e-06 -3.65272161e-06\n", + " -1.51696980e-06 2.24042490e-07 1.62042637e-06 2.71930216e-06\n", + " 3.56394590e-06 4.19340193e-06 4.64240692e-06 4.94151421e-06\n", + " 5.11733711e-06 5.19286166e-06 5.18778905e-06 5.11888571e-06\n", + " 5.00032219e-06 4.84399468e-06 4.65982127e-06 4.45601135e-06\n", + " 4.23930657e-06]\n", + " [-5.13389719e-18 -1.03026793e-06 1.54712908e-09 4.10818840e-09\n", + " -5.74617591e-09 -2.35946589e-08 -5.67635471e-08 -1.14644014e-07\n", + " -2.19508912e-07 -3.95043129e-07 -7.04809928e-07 -1.20892562e-06\n", + " -2.07671140e-06 -3.46957543e-06 -5.79887720e-06 -9.53347247e-06\n", + " -1.55393455e-05 -2.52403850e-05 -4.00376960e-05 -6.40691882e-05\n", + " -9.84420761e-05 -1.53544008e-04 -2.27379069e-04 -3.40992193e-04\n", + " -4.86353646e-04 -6.95024505e-04 -9.60280303e-04 -1.30529270e-03\n", + " -1.76404088e-03 -2.28974602e-03 -3.04773740e-03 -3.81143026e-03\n", + " -4.99477412e-03 -6.09138449e-03 -7.80740156e-03 -9.42428850e-03\n", + " -1.18688049e-02 -1.59242759e-02 -1.87378261e-02 -1.79787507e-02\n", + " -1.68899432e-02 -1.57049092e-02 -1.44888160e-02 -1.32850481e-02\n", + " -1.21218081e-02 -1.10167182e-02 -9.97999315e-03 -9.01667462e-03\n", + " -8.12822556e-03 -7.31367460e-03 -6.57043956e-03 -5.89491915e-03\n", + " -5.28291643e-03 -4.72993910e-03 -4.23141005e-03 -3.78281200e-03\n", + " -3.37978415e-03 -3.01818390e-03 -2.69412331e-03 -2.40398746e-03\n", + " -2.14444008e-03 -1.91242035e-03 -1.70513366e-03 -1.52003859e-03\n", + " -1.35483160e-03 -1.20743052e-03 -1.07595763e-03 -9.58722825e-04\n", + " -8.54207512e-04]]]\n", + "FIM: [[0.00293307 0.01236791]\n", + " [0.01236791 0.71783204]]\n", + "Trace: 0.720765107247085\n", + "Determinant: 0.0019524876759488853\n", + "Condition number: 264.0682330283083\n", + "Minimal eigen value: 0.0027191681893096176\n", + "Eigen values: [0.00271917 0.71804594]\n", + "Eigen vectors: [[-0.99985047 -0.01729246]\n", + " [ 0.01729246 -0.99985047]]\n", + "Model objective: -6.238650988150661\n", + "Objective(determinant) is: 0.0019524876760536995\n", "Solution of temp_feed : [313.15]\n", "Solution of yfeed : [0.15]\n", "======problem solver output======\n", @@ -741,7 +787,7 @@ "Number of nonzeros in inequality constraint Jacobian.: 0\n", "Number of nonzeros in Lagrangian Hessian.............: 206072\n", "\n", - "Reallocating memory for MA57: lfact (12163343)\n", + "Reallocating memory for MA57: lfact (12152896)\n", "Total number of variables............................: 93725\n", " variables with only lower bounds: 2\n", " variables with lower and upper bounds: 65842\n", @@ -753,744 +799,933 @@ " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 6.2598356e+00 2.90e+00 3.65e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 6.2609229e+00 2.89e+00 3.64e+01 -1.0 2.81e+02 - 6.46e-03 2.60e-03h 1\n", - " 2 6.2611715e+00 2.89e+00 2.00e+02 -1.0 1.25e+03 - 1.49e-03 2.60e-05h 1\n", - "Reallocating memory for MA57: lfact (12915816)\n", - " 3r 6.2611715e+00 2.89e+00 9.99e+02 0.5 0.00e+00 - 0.00e+00 1.30e-07R 2\n", - " 4r 6.1662789e+00 1.46e+00 9.98e+02 0.5 2.75e+03 - 1.36e-03 1.04e-03f 1\n", - " 5r 6.1662789e+00 1.46e+00 9.99e+02 -0.0 0.00e+00 - 0.00e+00 4.70e-07R 5\n", - " 6r 6.1347370e+00 7.96e-01 9.96e+02 -0.0 9.27e+02 - 3.14e-03 1.02e-03f 1\n", - " 7 6.1337521e+00 7.95e-01 6.91e+01 -1.0 8.16e+01 - 7.44e-02 1.17e-03h 1\n", - " 8 6.1336052e+00 7.95e-01 1.05e+04 -1.0 1.30e+03 - 1.76e-03 1.18e-05h 1\n", - " 9 6.1336533e+00 7.95e-01 2.23e+06 -1.0 1.44e+05 - 2.98e-05 7.01e-08f 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 6.1349455e+00 7.95e-01 4.16e+06 -1.0 8.76e+05 - 4.39e-06 9.82e-07f 3\n", - " 11 6.1189498e+00 7.92e-01 2.79e+06 -1.0 8.44e+05 - 5.24e-06 8.38e-06f 1\n", - "Reallocating memory for MA57: lfact (15702129)\n", - " 12 6.0986682e+00 7.90e-01 2.82e+06 -1.0 6.67e+05 - 1.22e-05 5.26e-06f 1\n", - "Reallocating memory for MA57: lfact (17653468)\n", - "Reallocating memory for MA57: lfact (26177273)\n", - " 13 6.0986654e+00 7.88e-01 2.82e+06 -1.0 2.00e-01 6.0 2.16e-02 2.52e-03h 1\n", - " 14 6.0984350e+00 7.84e-01 2.80e+06 -1.0 2.51e-01 5.5 1.35e-02 4.54e-03f 1\n", - " 15 6.0980345e+00 7.84e-01 2.80e+06 -1.0 1.09e+00 5.0 2.95e-03 4.68e-04f 1\n", - " 16 6.0972432e+00 7.84e-01 2.82e+06 -1.0 1.12e+05 - 2.89e-07 1.12e-07f 1\n", - " 17 6.0963532e+00 7.80e-01 2.80e+06 -1.0 2.52e-01 5.5 5.72e-02 5.68e-03f 1\n", - "Reallocating memory for MA57: lfact (27743163)\n", - " 18 6.0758729e+00 7.67e-01 2.76e+06 -1.0 8.56e-01 5.0 5.95e-03 1.57e-02f 1\n", - " 19 6.0757792e+00 7.67e-01 2.76e+06 -1.0 1.22e+05 - 4.04e-08 4.05e-08f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 6.0751326e+00 7.67e-01 2.45e+06 -1.0 1.14e+05 - 1.04e-07 2.70e-07f 1\n", - "Reallocating memory for MA57: lfact (29654947)\n", - " 21 6.0750054e+00 7.67e-01 2.45e+06 -1.0 2.57e-01 5.4 1.66e-03 7.53e-04h 1\n", - " 22 6.0748646e+00 7.67e-01 3.50e+06 -1.0 1.86e+05 - 2.25e-09 2.34e-08f 1\n", - " 23 6.0745936e+00 7.67e-01 5.18e+06 -1.0 1.96e+05 - 2.43e-08 4.06e-08f 1\n", - " 24 6.0739776e+00 7.67e-01 3.34e+06 -1.0 1.96e+05 - 1.11e-07 8.46e-08f 1\n", - "In iteration 24, 1 Slack too small, adjusting variable bound\n", - " 25 6.0738465e+00 7.67e-01 1.88e+07 -1.0 1.87e+05 - 1.38e-09 1.62e-08f 1\n", - " 26 6.0708960e+00 7.67e-01 3.56e+07 -1.0 2.01e+05 - 1.94e-09 3.23e-07f 1\n", - " 27 6.0630747e+00 7.67e-01 4.35e+07 -1.0 2.01e+05 - 3.20e-07 5.33e-07f 1\n", - " 28 5.4943208e+00 2.46e+02 7.56e+08 -1.0 2.01e+05 - 1.07e-06 2.64e-05f 1\n", - "Reallocating memory for MA57: lfact (31209109)\n", - "Reallocating memory for MA57: lfact (33475082)\n", - " 29 5.4943209e+00 1.04e+02 1.13e+13 -1.0 1.03e-02 15.3 9.90e-01 1.00e+00f 1\n", - "Reallocating memory for MA57: lfact (73892173)\n", - "Reallocating memory for MA57: lfact (125600585)\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 5.4943210e+00 4.23e+01 1.15e+13 -1.0 1.88e-02 14.8 1.98e-01 1.00e+00h 1\n", - "Reallocating memory for MA57: lfact (135125889)\n", - " 31 5.4943211e+00 3.11e+01 9.03e+12 -1.0 5.52e-03 15.2 1.00e+00 1.00e+00h 1\n", - " 32 5.4943214e+00 1.07e+02 9.59e+12 -1.0 1.87e-02 14.7 5.71e-01 1.00e+00h 1\n", - " 33 5.4943215e+00 6.40e+01 6.51e+12 -1.0 4.93e-03 15.2 1.00e+00 1.00e+00h 1\n", - "Reallocating memory for MA57: lfact (148018213)\n", - " 34 5.4943220e+00 9.52e+01 8.76e+12 -1.0 1.88e-02 14.7 1.00e+00 1.00e+00h 1\n", - " 35 5.4943222e+00 7.36e+01 5.35e+12 -1.0 4.46e-03 15.1 1.00e+00 1.00e+00h 1\n", - " 36 5.4943229e+00 2.07e+02 5.83e+12 -1.0 2.62e-02 14.6 1.00e+00 1.00e+00h 1\n", - " 37 5.4943232e+00 9.07e+01 5.55e+12 -1.0 1.14e-02 15.1 1.00e+00 1.00e+00h 1\n", - "Reallocating memory for MA57: lfact (157810213)\n", - " 38 5.4943243e+00 1.54e+02 7.94e+12 -1.0 1.89e-02 14.6 1.00e+00 1.00e+00h 1\n", - " 39 5.4943247e+00 7.25e+01 6.11e+12 -1.0 1.01e-02 15.0 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 5.4943261e+00 8.16e+01 1.12e+13 -1.0 2.16e-02 14.5 1.00e+00 1.00e+00h 1\n", - " 41 5.4943267e+00 8.24e+01 4.60e+12 -1.0 7.41e-03 15.0 1.00e+00 1.00e+00h 1\n", - " 42 5.4943280e+00 3.66e+01 3.01e+12 -1.0 3.82e-02 14.5 1.00e+00 6.86e-01H 1\n", - " 43 5.4943288e+00 2.72e+01 2.87e+12 -1.0 3.63e-03 14.9 1.00e+00 1.00e+00h 1\n" + " 0 6.2386510e+00 7.30e+01 3.79e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 44 5.4943313e+00 1.22e+01 2.74e+12 -1.0 2.65e-02 14.4 1.00e+00 1.00e+00H 1\n", - " 45 5.4943324e+00 1.58e+01 2.33e+12 -1.0 3.64e-03 14.9 1.00e+00 1.00e+00H 1\n", - " 46 5.4943359e+00 1.42e+01 1.69e+12 -1.0 1.07e-02 14.4 1.00e+00 1.00e+00H 1\n", - " 47 5.4943374e+00 1.34e+01 1.59e+12 -1.0 2.58e-03 14.8 1.00e+00 1.00e+00H 1\n", - " 48 5.4943399e+00 1.29e+01 1.81e+12 -1.0 9.39e-03 14.3 1.00e+00 5.56e-01h 1\n", - " 49 5.4943399e+00 1.29e+01 1.72e+12 -1.0 4.37e-05 16.6 4.16e-01 4.16e-01s 21\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 5.4943399e+00 1.29e+01 1.00e+03 0.7 0.00e+00 18.8 0.00e+00 0.00e+00R 1\n", - " 51r 5.4095340e+00 6.60e+00 3.85e+03 0.7 5.18e+03 - 1.04e-03 9.90e-04f 1\n", - " 52 5.4105362e+00 6.60e+00 1.12e+04 -1.0 7.24e+00 - 5.56e-01 2.57e-04h 1\n", - " 53 5.4100126e+00 6.60e+00 3.24e+04 -1.0 3.60e+03 - 1.00e-04 1.43e-05h 1\n", - " 54 5.4100108e+00 6.60e+00 1.42e+05 -1.0 6.54e+03 - 3.52e-06 1.83e-08h 7\n", - " 55 5.4077704e+00 6.60e+00 4.21e+04 -1.0 4.06e+04 - 2.30e-07 4.78e-06f 1\n", - " 56 5.4031758e+00 6.60e+00 7.00e+04 -1.0 4.38e+04 - 5.13e-06 9.37e-06f 1\n", - " 57 5.3973869e+00 6.60e+00 5.03e+04 -1.0 4.36e+04 - 1.76e-05 1.22e-05f 1\n", - " 58 5.3973007e+00 6.60e+00 2.50e+07 -1.0 5.57e+04 - 3.34e-05 6.89e-08f 2\n", - " 59 5.3716581e+00 5.08e+00 8.04e+07 -1.0 1.48e+05 - 1.30e-05 4.01e-06f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 5.0512887e+00 1.32e+02 6.21e+07 -1.0 1.51e+05 - 1.61e-05 1.96e-05f 1\n", - " 61 5.1767988e+00 7.21e+01 9.93e+07 -1.0 1.00e+05 - 1.91e-05 1.59e-05f 1\n", - " 62 3.3646029e+00 7.62e+03 2.45e+08 -1.0 7.32e+04 - 5.21e-05 7.64e-05f 1\n", - " 63 3.3646029e+00 5.32e+03 1.08e+16 -1.0 6.86e-03 18.3 9.90e-01 1.00e+00f 1\n", - " 64 3.3646029e+00 2.46e+03 8.10e+15 -1.0 1.27e-02 17.8 1.00e+00 1.00e+00h 1\n", - " 65 3.3646029e+00 9.09e+02 3.96e+15 -1.0 1.33e-02 17.4 1.00e+00 1.00e+00h 1\n", - " 66 3.3646029e+00 5.00e+02 1.62e+15 -1.0 1.35e-02 16.9 1.00e+00 1.00e+00h 1\n", - " 67 3.3646029e+00 2.31e+02 5.91e+14 -1.0 1.74e-02 16.4 1.00e+00 1.00e+00h 1\n", - " 68 3.3646030e+00 2.06e+02 2.39e+14 -1.0 1.76e-02 15.9 1.00e+00 1.00e+00h 1\n", - " 69 3.3646034e+00 8.66e+01 9.26e+13 -1.0 3.14e-02 15.5 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 3.3646036e+00 2.44e+02 8.13e+13 -1.0 1.97e-02 15.9 1.00e+00 1.00e+00H 1\n", - " 71 3.3646036e+00 2.44e+02 7.12e+13 -1.0 3.89e+00 15.4 2.16e-08 6.26e-10H 1\n", - " 72 3.3646038e+00 2.01e+02 3.45e+13 -1.0 8.36e-03 15.8 1.00e+00 1.00e+00H 1\n", - " 73 3.3646046e+00 1.23e+02 2.08e+13 -1.0 2.71e-02 15.3 1.00e+00 1.00e+00H 1\n", - " 74 3.3646050e+00 1.31e+02 2.17e+13 -1.0 3.67e-03 15.8 1.00e+00 1.00e+00h 1\n", - " 75 3.3646061e+00 1.11e+02 3.87e+13 -1.0 1.74e-02 15.3 1.00e+00 1.00e+00h 1\n", - " 76 3.3646066e+00 1.34e+02 7.85e+13 -1.0 1.65e-02 15.7 1.00e+00 1.00e+00H 1\n", - " 77 3.3646068e+00 2.02e+02 7.89e+13 -1.0 7.18e-03 16.2 1.00e+00 1.00e+00H 1\n", - " 78 3.3646075e+00 9.23e+01 3.14e+13 -1.0 3.96e-02 15.7 1.00e+00 1.00e+00H 1\n", - " 79 3.3646078e+00 9.05e+01 3.97e+13 -1.0 3.10e-03 16.1 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 3.3646087e+00 1.48e+02 5.89e+13 -1.0 3.33e-02 15.6 1.00e+00 1.00e+00H 1\n", - " 81r 3.3646087e+00 1.48e+02 1.00e+03 1.5 0.00e+00 16.0 0.00e+00 4.77e-07R 22\n", - " 82r 3.1209422e+00 3.62e+01 9.98e+02 1.5 3.31e+04 - 3.13e-03 9.91e-04f 1\n", - " 83 3.1204867e+00 3.62e+01 7.40e+01 -1.0 1.49e+01 - 1.43e-02 4.30e-04h 1\n", - " 84 3.0905445e+00 3.58e+01 7.22e+01 -1.0 1.28e+01 - 3.02e-03 1.20e-02h 1\n", - " 85r 3.0905445e+00 3.58e+01 9.99e+02 0.9 0.00e+00 - 0.00e+00 3.21e-07R 5\n", - " 86r 3.0366785e+00 8.55e+00 9.99e+02 0.9 7.95e+03 - 4.76e-04 9.91e-04f 1\n", - " 87 3.0595626e+00 8.53e+00 2.93e+01 -1.0 2.11e+01 - 1.98e-02 1.46e-03h 1\n", - " 88 3.0180707e+00 8.31e+00 4.55e+01 -1.0 1.73e+01 - 1.92e-02 2.47e-02h 1\n", - " 89 3.0136787e+00 8.29e+00 1.21e+02 -1.0 2.27e+01 - 3.30e-02 2.20e-03h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90 2.9187060e+00 7.80e+00 7.37e+02 -1.0 2.31e+01 - 1.05e-01 4.72e-02f 1\n", - " 91 2.6837332e+00 1.92e+01 2.53e+03 -1.0 4.60e+01 - 2.36e-01 6.06e-02f 1\n", - " 92 2.6837347e+00 1.65e+01 1.52e+12 -1.0 4.40e-04 15.6 9.90e-01 1.00e+00h 1\n", - " 93 2.6837437e+00 9.03e+00 1.67e+12 -1.0 1.50e-03 15.1 1.00e+00 1.00e+00h 1\n", - " 94 2.6837842e+00 8.00e+00 8.62e+11 -1.0 2.09e-03 14.6 1.00e+00 1.00e+00h 1\n", - " 95 2.6839464e+00 8.00e+00 3.27e+11 -1.0 2.37e-03 14.1 1.00e+00 1.00e+00h 1\n", - " 96 2.6845545e+00 1.11e+01 1.18e+12 -1.0 1.59e-02 13.7 8.86e-01 1.00e+00h 1\n", - " 97 2.6848280e+00 7.99e+00 4.82e+11 -1.0 4.37e-03 14.1 1.00e+00 1.00e+00h 1\n", - " 98 2.6859197e+00 1.07e+01 4.95e+11 -1.0 2.72e-02 13.6 1.00e+00 1.00e+00H 1\n", - " 99 2.6863802e+00 9.96e+00 9.92e+11 -1.0 7.89e-03 14.0 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100 2.6865720e+00 1.01e+01 6.80e+11 -1.0 2.73e-03 14.5 1.00e+00 1.00e+00h 1\n", - " 101 2.6872050e+00 1.01e+01 3.73e+11 -1.0 4.43e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 102 2.6894469e+00 9.63e+00 1.91e+11 -1.0 8.90e-03 13.5 1.00e+00 1.00e+00H 1\n", - " 103 2.6903521e+00 9.47e+00 2.69e+11 -1.0 3.03e-03 13.9 1.00e+00 1.00e+00h 1\n", - " 104 2.6903748e+00 9.47e+00 2.71e+11 -1.0 3.02e-01 13.5 9.75e-02 7.81e-03h 8\n", - " 105 2.6914659e+00 9.30e+00 4.09e+11 -1.0 5.53e-03 13.9 1.00e+00 1.00e+00h 1\n", - " 106 2.6919022e+00 9.21e+00 3.72e+11 -1.0 1.90e-03 14.3 1.00e+00 1.00e+00h 1\n", - " 107 2.6932919e+00 9.03e+00 4.41e+11 -1.0 7.36e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 108 2.6938435e+00 8.96e+00 3.34e+11 -1.0 1.83e-03 14.3 1.00e+00 1.00e+00h 1\n", - " 109 2.6956797e+00 8.77e+00 4.46e+11 -1.0 1.19e-02 13.8 1.00e+00 1.00e+00H 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110 2.6964364e+00 8.68e+00 3.39e+11 -1.0 3.15e-03 14.2 1.00e+00 1.00e+00H 1\n", - " 111 2.6989094e+00 8.54e+00 3.21e+11 -1.0 6.22e-03 13.7 1.00e+00 1.00e+00H 1\n", - " 112 2.6999132e+00 8.48e+00 3.93e+11 -1.0 2.81e-03 14.2 1.00e+00 1.00e+00H 1\n", - " 113r 2.6999132e+00 8.48e+00 1.00e+03 0.9 0.00e+00 13.7 0.00e+00 4.54e-07R 19\n", - " 114r 2.2990295e+00 6.98e+00 9.98e+02 0.9 6.19e+03 - 2.22e-03 1.25e-03f 1\n", - " 115 1.2568322e+01 5.15e+00 1.48e+04 -1.0 2.67e+01 - 7.23e-01 1.91e-01h 1\n", - " 116 1.2568398e+01 4.58e+00 3.48e+10 -1.0 1.76e-03 13.2 9.90e-01 1.00e+00h 1\n", - " 117 1.2568853e+01 3.86e+00 3.02e+10 -1.0 9.66e-03 12.7 1.00e+00 1.00e+00h 1\n", - " 118 1.2570897e+01 8.31e+00 7.31e+10 -1.0 1.86e-02 12.2 8.20e-01 1.00e+00f 1\n", - " 119 1.2571918e+01 3.88e+00 1.43e+10 -1.0 5.52e-03 12.7 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120 1.2575728e+01 8.24e+00 3.91e+10 -1.0 1.48e-02 12.2 1.00e+00 1.00e+00h 1\n", - " 121 1.2577439e+01 9.78e+00 1.67e+10 -1.0 5.22e-03 12.6 1.00e+00 1.00e+00h 1\n", - " 122 1.2578186e+01 5.95e+00 2.58e+10 -1.0 3.98e-03 13.0 1.00e+00 1.00e+00h 1\n", - " 123 1.2580736e+01 3.79e+00 2.36e+10 -1.0 6.27e-03 12.6 1.00e+00 1.00e+00h 1\n", - " 124 1.2581809e+01 3.68e+00 2.67e+10 -1.0 2.68e-03 13.0 1.00e+00 1.00e+00h 1\n", - " 125 1.2582031e+01 3.66e+00 2.70e+10 -1.0 3.92e-02 12.5 9.28e-02 6.25e-02h 5\n", - " 126 1.2583377e+01 3.52e+00 3.05e+10 -1.0 3.43e-03 12.9 1.00e+00 1.00e+00h 1\n", - " 127 1.2583931e+01 3.46e+00 3.34e+10 -1.0 1.41e-03 13.4 1.00e+00 1.00e+00h 1\n", - " 128 1.2585736e+01 3.23e+00 3.72e+10 -1.0 4.72e-03 12.9 1.00e+00 1.00e+00h 1\n", - " 129 1.2586468e+01 3.12e+00 4.02e+10 -1.0 1.92e-03 13.3 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130 1.2586762e+01 3.08e+00 4.29e+10 -1.0 7.68e-04 13.7 1.00e+00 1.00e+00h 1\n", - " 131 1.2587707e+01 2.94e+00 4.66e+10 -1.0 2.50e-03 13.3 1.00e+00 1.00e+00h 1\n", - " 132 1.2588084e+01 2.88e+00 4.95e+10 -1.0 9.97e-04 13.7 1.00e+00 1.00e+00h 1\n", - " 133 1.2589350e+01 2.71e+00 5.61e+10 -1.0 3.23e-03 13.2 1.00e+00 1.00e+00H 1\n", - " 134 1.2589850e+01 2.71e+00 5.93e+10 -1.0 1.34e-03 13.6 1.00e+00 1.00e+00h 1\n", - " 135 1.2589883e+01 2.70e+00 5.94e+10 -1.0 1.21e-02 13.2 1.00e+00 1.96e-02H 1\n", - " 136 1.2589938e+01 2.70e+00 5.97e+10 -1.0 1.60e-03 13.6 1.00e+00 9.33e-02h 1\n" + " 1 6.2382265e+00 7.28e+01 3.79e+01 -1.0 4.08e+02 - 4.77e-03 1.78e-03h 1\n", + " 2 6.2382821e+00 7.28e+01 1.72e+02 -1.0 1.52e+03 - 8.40e-04 1.77e-05h 1\n", + "Reallocating memory for MA57: lfact (12878142)\n", + " 3r 6.2382821e+00 7.28e+01 9.99e+02 1.9 0.00e+00 - 0.00e+00 8.90e-08R 2\n", + " 4r 6.0263433e+00 6.63e+01 9.97e+02 1.9 7.18e+04 - 1.59e-03 1.26e-04f 1\n", + " 5r 6.0263433e+00 6.63e+01 9.99e+02 1.8 0.00e+00 - 0.00e+00 2.92e-07R 6\n", + " 6r 5.8634867e+00 6.30e+01 9.99e+02 1.8 6.26e+04 - 3.40e-04 1.21e-04f 1\n", + " 7 5.8640710e+00 6.29e+01 3.16e+01 -1.0 3.30e+02 - 9.59e-04 1.42e-03h 1\n", + " 8 5.8640919e+00 6.29e+01 2.27e+02 -1.0 7.43e+02 - 1.92e-03 1.41e-05h 1\n", + " 9r 5.8640919e+00 6.29e+01 9.99e+02 1.8 0.00e+00 - 0.00e+00 7.30e-08R 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 5.7334207e+00 6.03e+01 9.99e+02 1.8 5.46e+04 - 1.54e-04 1.18e-04f 1\n", + " 11r 5.7027469e+00 5.76e+01 9.98e+02 1.1 4.36e+04 - 6.30e-04 1.52e-04f 1\n", + " 12r 5.7027469e+00 5.76e+01 9.99e+02 1.7 0.00e+00 - 0.00e+00 4.28e-07R 5\n", + " 13r 5.5882423e+00 5.51e+01 9.99e+02 1.7 4.51e+04 - 3.65e-04 1.38e-04f 1\n", + " 14 5.5892605e+00 5.51e+01 2.77e+01 -1.0 2.51e+02 - 2.85e-03 1.17e-03h 1\n", + " 15 5.5892822e+00 5.51e+01 7.21e+02 -1.0 6.15e+02 - 2.44e-03 1.16e-05h 1\n", + " 16r 5.5892822e+00 5.51e+01 9.99e+02 1.6 0.00e+00 - 0.00e+00 9.30e-08R 2\n", + " 17r 5.5177729e+00 5.33e+01 9.99e+02 1.6 3.88e+04 - 2.18e-04 1.03e-04f 1\n", + " 18r 5.4876708e+00 5.00e+01 9.98e+02 0.9 2.93e+04 - 7.08e-04 2.31e-04f 1\n", + " 19r 5.4876708e+00 5.00e+01 9.99e+02 1.5 0.00e+00 - 0.00e+00 4.11e-07R 3\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 5.3980923e+00 4.74e+01 9.99e+02 1.5 2.95e+04 - 5.39e-04 1.73e-04f 1\n", + " 21 5.3991551e+00 4.73e+01 2.53e+01 -1.0 1.90e+02 - 2.20e-03 9.94e-04h 1\n", + " 22r 5.3991551e+00 4.73e+01 9.99e+02 1.4 0.00e+00 - 0.00e+00 3.10e-07R 6\n", + " 23r 5.3279521e+00 4.48e+01 9.99e+02 1.4 2.41e+04 - 3.31e-04 1.65e-04f 1\n", + " 24 5.3282700e+00 4.48e+01 2.45e+01 -1.0 1.48e+02 - 2.36e-04 2.64e-04h 1\n", + " 25r 5.3282700e+00 4.48e+01 9.99e+02 1.4 0.00e+00 - 0.00e+00 3.30e-07R 4\n", + " 26r 5.2544765e+00 4.20e+01 9.99e+02 1.4 2.26e+04 - 2.44e-04 1.98e-04f 1\n", + " 27 5.2550394e+00 4.20e+01 2.36e+01 -1.0 1.59e+02 - 4.15e-03 4.69e-04h 1\n", + " 28r 5.2550394e+00 4.20e+01 9.99e+02 1.3 0.00e+00 - 0.00e+00 2.93e-07R 5\n", + " 29r 5.1913969e+00 3.94e+01 9.99e+02 1.3 1.99e+04 - 3.54e-04 2.01e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 5.1915090e+00 3.94e+01 2.29e+01 -1.0 1.41e+02 - 2.86e-04 8.52e-05h 1\n", + " 31r 5.1915090e+00 3.94e+01 9.99e+02 1.2 0.00e+00 - 0.00e+00 4.26e-07R 2\n", + " 32r 5.1235840e+00 3.60e+01 9.99e+02 1.2 1.64e+04 - 2.97e-04 2.60e-04f 1\n", + " 33 5.1238520e+00 3.60e+01 2.22e+01 -1.0 1.21e+02 - 2.19e-03 2.03e-04h 1\n", + " 34r 5.1238520e+00 3.60e+01 9.99e+02 1.2 0.00e+00 - 0.00e+00 2.54e-07R 4\n", + " 35r 5.0633683e+00 3.26e+01 9.98e+02 1.2 1.38e+04 - 5.31e-04 2.81e-04f 1\n", + " 36 5.0634658e+00 3.26e+01 2.16e+01 -1.0 1.08e+02 - 4.52e-04 7.22e-05h 1\n", + "Reallocating memory for MA57: lfact (17998269)\n", + " 37r 5.0634658e+00 3.26e+01 9.99e+02 1.0 0.00e+00 - 0.00e+00 3.61e-07R 2\n", + " 38r 5.0108322e+00 2.87e+01 9.98e+02 1.0 1.02e+04 - 5.54e-04 3.23e-04f 1\n", + " 39 5.0109706e+00 2.87e+01 2.34e+01 -1.0 8.85e+01 - 2.52e-03 1.05e-04h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 5.0109706e+00 2.87e+01 9.99e+02 0.9 0.00e+00 - 0.00e+00 2.61e-07R 3\n", + " 41r 4.9628344e+00 2.47e+01 9.98e+02 0.9 8.23e+03 - 8.10e-04 3.71e-04f 1\n", + " 42 4.9628754e+00 2.47e+01 5.38e+01 -1.0 7.64e+01 - 1.66e-03 3.07e-05h 1\n", + "Reallocating memory for MA57: lfact (19353047)\n", + " 43r 4.9628754e+00 2.47e+01 9.99e+02 0.8 0.00e+00 - 0.00e+00 1.54e-07R 2\n", + " 44r 4.9090696e+00 1.93e+01 9.98e+02 0.8 6.18e+03 - 8.16e-04 5.54e-04f 1\n", + " 45 4.9090931e+00 1.93e+01 3.48e+01 -1.0 5.66e+01 - 6.27e-04 1.78e-05h 1\n", + " 46r 4.9090931e+00 1.93e+01 9.99e+02 0.6 0.00e+00 - 0.00e+00 8.90e-08R 2\n", + " 47r 4.8631830e+00 1.39e+01 9.98e+02 0.6 4.11e+03 - 1.25e-03 6.90e-04f 1\n", + " 48 4.8632283e+00 1.39e+01 5.72e+02 -1.0 4.46e+01 - 1.60e-02 2.85e-05h 1\n", + " 49r 4.8632283e+00 1.39e+01 9.99e+02 0.4 0.00e+00 - 0.00e+00 1.44e-07R 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 4.8245610e+00 7.65e+00 9.93e+02 0.4 2.33e+03 - 6.77e-03 1.03e-03f 1\n", + " 51r 4.8245610e+00 7.65e+00 9.99e+02 -0.1 0.00e+00 - 0.00e+00 3.94e-07R 4\n", + " 52r 4.8085941e+00 2.68e+00 9.97e+02 -0.1 7.61e+02 - 1.86e-03 1.10e-03f 1\n", + " 53 4.8113681e+00 2.68e+00 1.92e+01 -1.0 2.02e+01 - 1.32e-02 1.53e-03f 1\n", + " 54 4.8113960e+00 2.68e+00 4.95e+04 -1.0 2.41e+01 - 6.91e-02 1.54e-05h 1\n", + "Reallocating memory for MA57: lfact (20827368)\n", + " 55 4.8115201e+00 2.68e+00 9.11e+05 -1.0 1.83e+05 - 3.46e-06 1.86e-07f 1\n", + "Reallocating memory for MA57: lfact (27380551)\n", + " 56 4.8141135e+00 2.68e+00 6.22e+05 -1.0 9.66e+05 - 5.87e-07 8.42e-07f 1\n", + " 57 4.8195002e+00 2.68e+00 2.64e+05 -1.0 9.16e+05 - 1.40e-06 1.80e-06f 1\n", + " 58 4.9476819e+00 6.79e+00 2.37e+07 -1.0 8.46e+05 - 3.32e-06 3.93e-05f 1\n", + " 59 4.9537779e+00 6.78e+00 1.77e+07 -1.0 1.95e+05 - 4.84e-05 1.71e-06f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 5.0664890e+00 5.26e+00 1.40e+07 -1.0 3.43e+04 - 2.77e-05 1.71e-05f 1\n", + " 61 5.3668892e+00 4.96e+00 1.28e+07 -1.0 4.07e+04 - 3.14e-05 3.07e-05f 1\n", + " 62 7.1410119e+00 1.21e+02 2.35e+07 -1.0 5.15e+04 - 2.61e-05 3.87e-05f 1\n", + " 63 2.1199001e+00 1.95e+05 1.40e+08 -1.0 2.80e+04 - 4.18e-05 3.12e-04f 1\n", + " 64 5.6170874e+00 1.94e+05 3.89e+10 -1.0 1.55e+05 - 8.14e-09 9.25e-06f 1\n", + " 65 5.0972672e+00 1.94e+05 3.89e+10 -1.0 3.26e+06 - 1.72e-09 3.49e-08f 1\n", + "Reallocating memory for MA57: lfact (29438452)\n", + "Reallocating memory for MA57: lfact (31182154)\n", + " 66 5.1018364e+00 1.32e+05 3.89e+10 -1.0 5.27e-02 12.0 6.20e-04 3.64e-01h 1\n", + "Reallocating memory for MA57: lfact (55358269)\n", + "Reallocating memory for MA57: lfact (90546442)\n", + " 67r 5.1018364e+00 1.32e+05 9.99e+02 4.1 0.00e+00 11.5 0.00e+00 2.41e-07R 2\n", + " 68r 4.2039395e+00 9.26e+04 1.68e+05 4.1 1.38e+07 - 4.71e-03 3.17e-04f 1\n", + " 69 4.3890045e+00 9.24e+04 2.88e+02 -1.0 1.37e+02 - 2.54e-02 2.32e-03h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 4.3895251e+00 9.23e+04 8.68e+03 -1.0 7.92e+02 - 2.42e-02 3.44e-05h 1\n", + " 71 4.4972538e+00 9.18e+04 3.09e+04 -1.0 2.17e+03 - 6.60e-04 5.23e-03h 1\n", + " 72 4.0446300e+00 9.11e+04 4.44e+04 -1.0 1.74e+03 - 6.26e-03 4.13e-03h 1\n", + " 73 3.8538789e+00 9.11e+04 4.44e+04 -1.0 1.90e+03 - 6.58e-04 6.62e-05h 1\n", + " 74 3.6120491e+00 9.11e+04 4.45e+04 -1.0 2.67e+03 - 3.04e-04 4.00e-05f 1\n", + " 75 1.8459344e+00 9.09e+04 4.77e+04 -1.0 3.01e+03 - 3.05e-04 3.47e-04f 1\n", + " 76 -3.7027852e+00 8.29e+04 1.13e+06 -1.0 4.48e+03 - 1.06e-03 2.37e-03f 1\n", + " 77 -3.6950206e+00 8.29e+04 1.13e+06 -1.0 2.16e+03 - 1.44e-06 1.74e-05f 1\n", + " 78 -2.8520494e+00 8.19e+04 1.05e+06 -1.0 2.30e+03 - 3.22e-07 1.27e-03f 1\n", + " 79 -2.8590789e+00 8.19e+04 1.05e+06 -1.0 2.16e+03 - 9.55e-06 1.17e-05h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 -2.8690805e+00 8.19e+04 1.05e+06 -1.0 2.43e+03 - 4.36e-06 1.19e-05f 1\n", + " 81 -4.0279446e+00 7.94e+04 1.08e+06 -1.0 2.43e+03 - 5.85e-05 1.77e-03f 1\n", + " 82 -4.0342765e+00 7.94e+04 1.08e+06 -1.0 2.12e+03 - 1.10e-03 3.52e-05h 1\n", + " 83r-4.0342765e+00 7.94e+04 9.99e+02 3.9 0.00e+00 - 0.00e+00 1.79e-07R 2\n", + " 84r-4.0871146e+00 6.07e+04 1.66e+05 3.9 8.27e+06 - 1.07e-02 2.53e-04f 1\n", + " 85 -4.0833018e+00 6.06e+04 4.28e+00 -1.0 3.77e+01 - 5.27e-03 1.04e-03h 1\n", + " 86 -4.0829682e+00 6.06e+04 9.52e+01 -1.0 7.59e+02 - 4.51e-04 2.95e-05h 1\n", + " 87 -3.2625070e+00 5.80e+04 3.96e+05 -1.0 1.19e+03 - 2.11e-03 4.47e-02h 1\n", + " 88 -3.2462811e+00 5.79e+04 3.96e+05 -1.0 1.08e+03 - 4.58e-02 1.01e-03h 1\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 137r 1.2589938e+01 2.70e+00 1.00e+03 0.4 0.00e+00 16.7 0.00e+00 4.77e-07R 22\n", - " 138r 1.1824065e+01 2.28e+00 9.97e+02 0.4 2.35e+03 - 2.87e-03 1.14e-03f 1\n", - " 139 1.2566616e+01 6.22e+00 9.77e+03 -1.0 7.98e+00 - 4.96e-01 2.86e-01H 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140 1.2566616e+01 6.21e+00 7.21e+10 -1.0 4.04e-06 16.3 9.90e-01 1.00e+00h 1\n", - " 141 1.2566616e+01 6.20e+00 1.32e+11 -1.0 2.21e-05 15.8 1.00e+00 1.00e+00h 1\n", - " 142 1.2566616e+01 6.12e+00 1.74e+11 -1.0 8.82e-05 15.3 1.00e+00 1.00e+00h 1\n", - " 143 1.2566614e+01 5.82e+00 2.07e+11 -1.0 3.16e-04 14.8 1.00e+00 1.00e+00h 1\n", - " 144 1.2566608e+01 4.79e+00 2.15e+11 -1.0 9.78e-04 14.3 1.00e+00 1.00e+00h 1\n", - " 145 1.2566586e+01 1.79e+00 2.29e+11 -1.0 3.11e-03 13.9 1.00e+00 1.00e+00h 1\n", - " 146 1.2566510e+01 1.81e+01 2.59e+11 -1.0 1.15e-02 13.4 1.00e+00 1.00e+00h 1\n", - " 147 1.2566248e+01 2.34e+01 1.25e+11 -1.0 1.35e-02 12.9 1.00e+00 1.00e+00h 1\n", - " 148 1.2566137e+01 9.37e+00 1.77e+11 -1.0 8.97e-03 13.3 1.00e+00 1.00e+00h 1\n", - " 149 1.2565769e+01 1.01e+02 1.04e+12 -1.0 2.98e-02 12.9 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150 1.2565750e+01 2.26e+01 1.59e+12 -1.0 1.14e-02 14.2 1.00e+00 1.00e+00h 1\n", - " 151 1.2565688e+01 5.88e+01 9.35e+11 -1.0 1.45e-02 13.7 1.00e+00 1.00e+00h 1\n", - " 152 1.2565500e+01 2.15e+00 5.80e+10 -1.0 3.38e-02 13.2 1.00e+00 8.65e-01H 1\n", - " 153 1.2564815e+01 5.72e+00 3.19e+10 -1.0 6.59e-03 12.8 1.00e+00 1.00e+00h 1\n", - " 154 1.2564541e+01 2.85e+00 4.03e+10 -1.0 2.82e-03 13.2 8.02e-01 1.00e+00h 1\n", - " 155 1.2564431e+01 2.21e+00 5.70e+10 -1.0 1.44e-03 13.6 1.00e+00 1.00e+00h 1\n", - " 156 1.2564084e+01 2.40e+00 4.68e+10 -1.0 3.41e-03 13.1 1.00e+00 1.00e+00h 1\n", - " 157 1.2563947e+01 2.49e+00 3.65e+10 -1.0 1.05e-03 13.6 1.00e+00 1.00e+00h 1\n", - " 158 1.2563512e+01 2.70e+00 2.81e+10 -1.0 2.13e-03 13.1 1.00e+00 1.00e+00h 1\n", - " 159 1.2563341e+01 2.76e+00 2.46e+10 -1.0 7.43e-04 13.5 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160 1.2562804e+01 2.85e+00 2.70e+10 -1.0 2.13e-03 13.0 1.00e+00 1.00e+00h 1\n", - " 161 1.2562594e+01 2.87e+00 2.41e+10 -1.0 8.78e-04 13.5 1.00e+00 1.00e+00h 1\n", - " 162 1.2562511e+01 2.88e+00 2.49e+10 -1.0 3.26e-04 13.9 1.00e+00 1.00e+00h 1\n", - " 163 1.2562254e+01 2.89e+00 3.06e+10 -1.0 1.17e-03 13.4 1.00e+00 1.00e+00h 1\n", - " 164 1.2562153e+01 2.90e+00 3.51e+10 -1.0 5.14e-04 13.8 1.00e+00 1.00e+00h 1\n", - " 165 1.2561840e+01 2.90e+00 4.73e+10 -1.0 2.05e-03 13.4 1.00e+00 1.00e+00h 1\n", - " 166 1.2561719e+01 2.91e+00 4.89e+10 -1.0 8.15e-04 13.8 1.00e+00 1.00e+00h 1\n", - " 167 1.2561328e+01 2.91e+00 4.66e+10 -1.0 2.81e-03 13.3 1.00e+00 1.00e+00H 1\n", - " 168 1.2561176e+01 2.92e+00 6.79e+10 -1.0 1.23e-03 13.7 1.00e+00 1.00e+00h 1\n", - " 169 1.2561144e+01 2.92e+00 8.46e+10 -1.0 1.71e-02 13.3 1.00e+00 6.74e-02h 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170 1.2560962e+01 2.92e+00 1.04e+11 -1.0 2.52e-03 13.7 1.00e+00 1.00e+00H 1\n", - " 171 1.2560890e+01 2.92e+00 1.13e+11 -1.0 9.16e-04 14.1 1.00e+00 1.00e+00H 1\n", - " 172 1.2560876e+01 2.92e+00 1.18e+11 -1.0 4.37e-03 13.6 1.00e+00 6.22e-02H 1\n", - " 173r 1.2560876e+01 2.92e+00 1.00e+03 0.1 0.00e+00 16.8 0.00e+00 4.45e-07R 22\n", - " 174r 1.2284549e+01 2.42e+01 9.99e+02 0.1 1.06e+03 - 1.64e-03 1.04e-03f 1\n", - " 175r 1.2107746e+01 2.14e+01 1.83e+04 0.1 1.46e-01 4.0 1.94e-01 1.25e-01f 1\n", - " 176r 1.1758785e+01 1.90e+01 7.04e+03 0.1 3.29e-01 3.5 2.41e-01 1.10e-01f 1\n", - " 177r 1.1581508e+01 1.63e+01 5.54e+03 0.1 1.21e-01 3.9 1.52e-01 1.47e-01f 1\n", - " 178r 1.1502634e+01 1.58e+01 5.58e+03 0.1 5.12e-01 3.5 8.94e-02 2.88e-02f 1\n", - " 179r 1.1279654e+01 1.28e+01 5.14e+03 0.1 1.33e-01 3.9 5.45e-01 1.92e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r 1.0930279e+01 1.08e+01 4.44e+03 0.1 3.83e-01 3.4 2.91e-01 1.46e-01f 1\n", - " 181r 1.0736748e+01 8.63e+00 4.04e+03 0.1 1.43e-01 3.8 6.93e-01 1.96e-01f 1\n", - " 182r 1.0463634e+01 7.42e+00 3.42e+03 0.1 3.85e-01 3.4 1.00e+00 1.37e-01f 1\n", - " 183r 1.0232188e+01 5.26e+00 2.49e+03 0.1 1.04e-01 3.8 1.00e+00 3.03e-01f 1\n", - " 184r 1.0049236e+01 4.28e+00 1.85e+03 0.1 3.70e-01 3.3 9.29e-01 1.84e-01f 1\n", - " 185r 9.8402299e+00 2.48e+00 1.08e+03 0.1 8.86e-02 3.7 1.00e+00 4.33e-01f 1\n", - " 186 9.8316521e+00 2.46e+00 9.24e+01 -1.0 2.51e+01 - 8.45e-01 9.28e-03h 6\n", - " 187 9.8316521e+00 2.45e+00 3.43e+10 -1.0 1.78e-06 16.3 9.91e-01 1.00e+00h 1\n", - " 188 9.8316521e+00 2.45e+00 6.85e+10 -1.0 1.07e-05 15.8 1.00e+00 1.00e+00h 1\n", - " 189 9.8316521e+00 2.42e+00 1.02e+11 -1.0 4.76e-05 15.3 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190 9.8316521e+00 2.32e+00 1.32e+11 -1.0 1.85e-04 14.9 1.00e+00 1.00e+00h 1\n", - " 191 9.8316520e+00 1.98e+00 1.49e+11 -1.0 6.31e-04 14.4 1.00e+00 1.00e+00h 1\n", - " 192 9.8316518e+00 1.16e+00 1.34e+11 -1.0 1.71e-03 13.9 1.00e+00 1.00e+00h 1\n", - " 193 9.8316513e+00 4.54e-01 8.74e+10 -1.0 3.06e-03 13.4 1.00e+00 1.00e+00h 1\n", - " 194 9.8316492e+00 8.75e-01 4.18e+10 -1.0 3.51e-03 12.9 1.00e+00 1.00e+00h 1\n", - " 195 9.8316423e+00 1.32e+00 1.20e+10 -1.0 2.43e-03 12.5 1.00e+00 1.00e+00h 1\n", - " 196 9.8316192e+00 1.31e+00 7.24e+09 -1.0 7.42e-03 12.0 1.00e+00 1.00e+00h 1\n", - " 197 9.8316096e+00 9.50e-01 1.95e+10 -1.0 4.26e-03 12.4 1.00e+00 1.00e+00h 1\n", - " 198 9.8316056e+00 2.11e-01 2.26e+10 -1.0 5.06e-03 12.8 1.00e+00 1.00e+00h 1\n", - " 199 9.8316024e+00 4.25e-01 2.32e+10 -1.0 1.08e-02 12.4 1.00e+00 2.50e-01h 3\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200 9.8315589e+00 1.15e+00 5.07e+10 -1.0 4.51e-02 11.9 1.00e+00 1.00e+00H 1\n", - " 201 9.8313918e+00 8.15e-01 2.62e+10 -1.0 1.30e-02 11.4 1.00e+00 1.00e+00H 1\n", - " 202 9.8307842e+00 1.16e-01 9.21e+09 -1.0 6.50e-03 10.9 1.00e+00 1.00e+00H 1\n", - " 203 9.8280814e+00 1.42e-01 2.90e+09 -1.0 1.79e-02 10.5 1.00e+00 1.00e+00H 1\n", - " 204 9.8180874e+00 1.94e-01 1.18e+09 -1.0 5.02e-02 10.0 1.00e+00 1.00e+00h 1\n", - " 205 9.7977094e+00 2.51e-01 7.45e+08 -1.0 1.45e-01 9.5 1.00e+00 4.80e-01h 1\n", - " 206 9.7973867e+00 2.52e-01 7.43e+08 -1.0 3.78e-01 9.0 1.89e-03 1.89e-03s 13\n", - " 207r 9.7973867e+00 2.52e-01 9.99e+02 -0.6 0.00e+00 8.5 0.00e+00 0.00e+00R 1\n", - " 208r 9.7961731e+00 1.71e+00 9.92e+02 -0.6 2.29e+02 - 7.89e-03 1.09e-03f 1\n", - " 209r 9.7783115e+00 1.75e+00 9.91e+02 -0.6 3.27e+00 2.0 2.75e-01 9.36e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 210r 9.6524944e+00 1.05e+01 9.57e+02 -0.6 3.75e+00 1.5 6.91e-02 3.37e-02f 1\n", - " 211r 9.1723958e+00 8.20e+00 7.17e+02 -0.6 1.93e-01 1.9 6.06e-01 2.13e-01f 1\n", - " 212r 8.7105108e+00 2.61e+00 2.84e+03 -0.6 6.77e-02 2.4 1.00e+00 5.54e-01f 1\n", - " 213r 8.1517130e+00 1.59e+00 1.56e+03 -0.6 1.89e-01 1.9 5.68e-01 5.33e-01f 1\n", - " 214r 7.8408189e+00 1.28e+00 1.23e+03 -0.6 5.07e-01 1.4 4.80e-01 2.05e-01f 1\n", - " 215r 7.3563275e+00 6.72e-01 1.24e+03 -0.6 9.05e-02 1.8 3.12e-01 6.03e-01f 1\n", - " 216r 6.3318421e+00 1.64e-01 2.12e+03 -0.6 1.12e-01 1.4 3.80e-01 1.00e+00f 1\n", - " 217 6.3316353e+00 1.64e-01 6.33e+02 -1.0 3.86e+02 - 8.89e-02 1.86e-04h 11\n", - " 218 5.5815278e+00 1.85e+02 1.54e+03 -1.0 6.01e+01 - 1.56e-01 3.05e-01f 1\n", - " 219 5.4549063e+00 1.80e+02 3.41e+03 -1.0 7.02e+01 - 1.94e-01 2.93e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 220 4.7021797e+00 2.50e+02 5.82e+03 -1.0 7.12e+01 - 2.61e-01 1.73e-01h 1\n", - " 221 4.2203273e+00 1.32e+02 1.68e+04 -1.0 1.35e+02 - 2.08e-01 3.14e-01H 1\n", - " 222 4.2535058e+00 1.49e+02 1.98e+09 -1.0 6.36e-01 8.1 2.65e-01 1.00e+00f 1\n", - " 223 4.2560443e+00 4.52e+01 4.25e+11 -1.0 2.64e-01 9.4 3.64e-01 1.00e+00f 1\n", - " 224 4.2560633e+00 8.27e+01 1.12e+12 -1.0 8.46e-02 11.6 3.21e-01 9.23e-01h 1\n", - " 225 4.2560634e+00 9.03e+00 5.70e+11 -1.0 8.52e-03 13.9 1.00e+00 1.00e+00h 1\n", - " 226 4.2560640e+00 2.77e+00 2.02e+11 -1.0 6.33e-03 13.4 2.45e-01 1.00e+00h 1\n", - " 227 4.2560642e+00 2.55e+00 1.88e+11 -1.0 2.88e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 228 4.2560651e+00 6.97e+00 8.60e+11 -1.0 2.04e-02 13.3 1.00e+00 1.00e+00h 1\n", - " 229 4.2560679e+00 5.54e+00 9.20e+10 -1.0 5.38e-03 12.9 1.00e+00 1.00e+00h 1\n" + " 89 -3.9303580e+00 5.65e+04 4.19e+05 -1.0 2.72e+02 - 1.25e-04 1.70e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90 -4.4836337e+00 5.39e+04 4.44e+05 -1.0 2.79e+02 - 9.79e-04 1.94e-03f 1\n", + " 91 -4.4843917e+00 5.39e+04 4.44e+05 -1.0 2.80e+02 - 2.53e-03 1.97e-05h 1\n", + " 92 -4.4269415e+00 4.80e+04 3.78e+10 -1.0 3.06e+00 11.0 1.27e-02 1.14e-01h 1\n", + " 93r-4.4269415e+00 4.80e+04 9.99e+02 3.7 0.00e+00 - 0.00e+00 1.17e-07R 2\n", + " 94r-4.4731970e+00 1.98e+04 1.39e+05 3.7 5.02e+06 - 5.25e-02 7.99e-04f 1\n", + " 95 -4.4673882e+00 1.98e+04 3.55e+00 -1.0 1.94e+01 - 1.68e-03 1.12e-03h 1\n", + " 96 -4.4672296e+00 1.98e+04 4.99e+01 -1.0 9.35e+01 - 6.01e-04 2.98e-05h 1\n", + " 97 -4.4629794e+00 1.98e+04 4.72e+01 -1.0 2.15e+02 - 2.90e-04 9.92e-04h 1\n", + " 98r-4.4629794e+00 1.98e+04 9.99e+02 3.3 0.00e+00 - 0.00e+00 3.12e-07R 6\n", + " 99r-4.4388942e+00 6.49e+03 8.43e+04 3.3 2.07e+06 - 4.31e-02 9.91e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100 -4.2746492e+00 6.16e+03 9.02e+02 -1.0 4.26e+01 - 1.11e-01 2.96e-02h 1\n", + " 101 -4.0565418e+00 4.55e+03 6.25e+03 -1.0 8.76e+01 - 1.23e-01 8.23e-02h 1\n", + " 102 -3.7911795e+00 4.40e+03 6.36e+03 -1.0 8.46e+01 - 1.28e-01 2.02e-02h 1\n", + " 103 -3.5224016e+00 4.35e+03 6.45e+03 -1.0 1.11e+02 - 3.29e-02 4.60e-03f 1\n", + " 104 -3.1864442e+00 7.53e+03 2.18e+04 -1.0 1.08e+02 - 3.99e-02 6.49e-02f 1\n", + " 105 -3.1780231e+00 7.52e+03 2.18e+04 -1.0 6.13e+01 - 3.89e-02 7.36e-04h 1\n", + " 106 -3.1775997e+00 7.52e+03 2.17e+04 -1.0 3.78e+02 - 1.99e-06 4.37e-05h 1\n", + " 107 -3.0071367e+00 7.16e+03 2.19e+04 -1.0 4.42e+02 - 4.26e-05 1.77e-02f 1\n", + " 108 -3.0059026e+00 7.16e+03 8.05e+04 -1.0 3.90e+02 - 3.31e-02 2.00e-04h 1\n", + " 109r-3.0059026e+00 7.16e+03 1.00e+03 2.9 0.00e+00 - 0.00e+00 2.56e-07R 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r-2.9916181e+00 1.55e+03 4.65e+04 2.9 7.47e+05 - 1.53e-01 9.91e-04f 1\n", + " 111 -2.9897312e+00 1.55e+03 5.16e+02 -1.0 1.29e+01 - 1.45e-01 2.88e-04h 1\n", + " 112r-2.9897312e+00 1.55e+03 9.99e+02 2.4 0.00e+00 - 0.00e+00 2.92e-07R 5\n", + " 113r-2.6890613e+00 5.84e+02 1.41e+04 2.4 2.36e+05 - 1.51e-01 9.93e-04f 1\n", + " 114 -2.6875515e+00 5.84e+02 3.32e+05 -1.0 4.29e+01 - 1.97e-01 2.04e-04h 1\n", + " 115r-2.6875515e+00 5.84e+02 9.99e+02 1.9 0.00e+00 - 0.00e+00 3.74e-07R 5\n", + " 116r-1.9014229e+00 2.06e+02 2.49e+03 1.9 7.54e+04 - 8.60e-02 9.93e-04f 1\n", + " 117 -1.9011532e+00 2.06e+02 9.48e+03 -1.0 5.53e+00 - 3.01e-01 3.27e-05h 1\n", + " 118 -1.8686676e+00 1.66e+02 5.93e+03 -1.0 5.64e+00 - 3.75e-01 2.10e-01h 1\n", + " 119 -1.8685742e+00 1.66e+02 1.09e+04 -1.0 1.14e+02 - 9.78e-06 1.81e-05h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r-1.8685742e+00 1.66e+02 1.00e+03 1.4 0.00e+00 - 0.00e+00 3.09e-07R 6\n", + " 121r-8.3000323e-01 5.80e+01 9.70e+02 1.4 1.99e+04 - 4.87e-02 1.06e-03f 1\n", + " 122 -8.2990908e-01 5.80e+01 5.31e+01 -1.0 7.78e+00 - 6.83e-04 1.31e-05h 1\n", + " 123r-8.2990908e-01 5.80e+01 9.99e+02 1.0 0.00e+00 - 0.00e+00 2.85e-07R 6\n", + " 124r-6.7143001e-01 5.00e+01 9.97e+02 1.0 9.64e+03 - 1.89e-03 2.79e-04f 1\n", + " 125r 5.6908979e-01 1.23e+01 1.74e+03 1.0 1.97e+03 - 7.60e-05 3.28e-03f 1\n", + " 126 5.7148776e-01 1.23e+01 3.01e+02 -1.0 3.63e+01 - 1.34e-01 4.70e-04h 1\n", + " 127 5.7891868e-01 1.23e+01 3.25e+03 -1.0 4.51e+02 - 2.02e-02 2.03e-03h 1\n", + " 128 6.0323982e-01 1.22e+01 1.55e+04 -1.0 4.34e+02 - 3.02e-02 5.52e-03h 1\n", + " 129 6.0570474e-01 1.22e+01 2.90e+05 -1.0 3.77e+02 - 2.63e-02 9.08e-05h 5\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130 6.0985102e-01 1.22e+01 8.24e+05 -1.0 3.88e+02 - 2.66e-02 1.46e-04h 6\n", + " 131 6.1408564e-01 1.22e+01 2.47e+06 -1.0 3.86e+02 - 3.03e-02 1.43e-04h 6\n", + " 132 6.1844754e-01 1.22e+01 9.89e+06 -1.0 3.84e+02 - 3.46e-02 1.40e-04h 6\n", + " 133 6.2293184e-01 1.22e+01 6.06e+07 -1.0 3.83e+02 - 4.52e-02 1.37e-04h 6\n", + " 134 6.2746287e-01 1.22e+01 5.19e+08 -1.0 3.82e+02 - 5.59e-02 1.34e-04h 6\n", + " 135 6.2962252e-01 1.14e+01 2.64e+09 -1.0 2.00e-02 10.6 5.02e-01 6.65e-02h 1\n", + " 136r 6.2962252e-01 1.14e+01 1.00e+03 0.9 0.00e+00 10.1 0.00e+00 7.04e-08R 2\n", + " 137r 1.5317060e+00 6.39e+00 1.44e+03 0.9 5.27e+02 - 3.91e-03 5.86e-03f 1\n", + " 138 1.5319478e+00 6.39e+00 8.17e+03 -1.0 7.44e+00 - 3.61e-01 4.80e-05h 1\n", + " 139 1.5330671e+00 6.39e+00 3.40e+05 -1.0 2.92e+02 - 3.96e-02 9.38e-05h 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140 1.5340281e+00 6.38e+00 1.82e+06 -1.0 3.06e+02 - 4.00e-02 7.99e-05h 4\n", + " 141 1.5348631e+00 6.38e+00 1.70e+08 -1.0 3.03e+02 - 5.36e-02 7.20e-05h 4\n", + " 142 1.6003178e+00 6.69e+00 1.08e+12 -1.0 2.64e-01 9.6 2.31e-02 1.00e+00h 1\n", + " 143 1.6004294e+00 6.69e+00 1.08e+12 -1.0 2.69e+02 - 7.57e-02 4.32e-05h 1\n", + " 144 1.5997320e+00 6.68e+00 1.08e+12 -1.0 2.29e+02 - 5.60e-02 2.18e-04h 3\n", + " 145 1.5988509e+00 6.68e+00 1.43e+12 -1.0 2.43e+02 - 6.30e-02 1.53e-04h 3\n", + " 146 1.5969364e+00 6.68e+00 2.17e+12 -1.0 2.45e+02 - 7.98e-02 2.26e-04h 2\n", + " 147 1.5939839e+00 6.68e+00 5.61e+13 -1.0 1.77e+02 - 1.56e-01 3.05e-04h 1\n", + " 148 1.6025153e+00 6.65e+00 9.46e+14 -1.0 9.03e+00 - 1.22e-01 4.47e-03h 1\n", + " 149 1.6025153e+00 6.65e+00 6.92e+13 -1.0 2.41e-06 19.5 9.90e-01 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150 1.6025153e+00 6.65e+00 8.65e+13 -1.0 1.13e-06 19.9 9.90e-01 1.00e+00h 1\n", + " 151 1.6025153e+00 6.65e+00 2.15e+14 -1.0 8.46e-06 19.4 9.90e-01 9.91e-01h 1\n", + " 152r 1.6025153e+00 6.65e+00 1.00e+03 0.8 0.00e+00 - 0.00e+00 4.12e-07R 2\n", + " 153r 1.6064384e+00 4.55e+00 2.45e+03 0.8 6.16e+03 - 2.85e-03 1.03e-03f 1\n", + " 154 1.6064850e+00 4.55e+00 2.69e+04 -1.0 9.45e+00 - 3.81e-01 1.76e-05h 1\n", + " 155 1.5114071e+00 3.72e+00 1.29e+04 -1.0 9.40e+00 - 5.23e-01 1.82e-01h 1\n", + " 156r 1.5114071e+00 3.72e+00 1.00e+03 0.6 0.00e+00 - 0.00e+00 3.60e-07R 5\n", + " 157r 1.5176002e+00 3.01e+00 9.96e+02 0.6 1.12e+03 - 9.10e-03 7.52e-04f 1\n", + " 158 1.5176267e+00 3.01e+00 5.18e+04 -1.0 7.47e+00 - 4.67e-01 1.20e-05h 1\n", + " 159r 1.5176267e+00 3.01e+00 9.99e+02 0.5 0.00e+00 - 0.00e+00 4.85e-07R 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r 1.5437894e+00 1.06e+00 9.95e+02 0.5 7.72e+02 - 8.99e-03 2.52e-03f 1\n", + " 161 1.5438498e+00 1.06e+00 2.55e+02 -1.0 6.59e+00 - 5.33e-03 2.83e-05h 1\n", + " 162r 1.5438498e+00 1.06e+00 9.99e+02 0.0 0.00e+00 - 0.00e+00 3.44e-07R 5\n", + " 163r 1.6187323e+00 1.72e+00 9.97e+02 0.0 3.37e+02 - 5.70e-04 2.93e-03f 1\n", + " 164r 1.6510735e+00 1.70e+00 1.72e+03 0.0 6.81e+01 - 6.55e-03 2.37e-03f 1\n", + " 165r 1.6959435e+00 5.23e+00 1.70e+03 0.0 5.56e+01 - 1.37e-02 1.08e-02f 1\n", + " 166r 1.6611852e+00 7.10e+02 3.40e+04 0.0 7.50e+01 - 9.30e-03 2.45e-02f 1\n", + " 167r 1.6676625e+00 6.55e+02 3.12e+04 0.0 3.24e-01 4.0 2.12e-02 8.02e-02f 1\n", + " 168r 1.6694820e+00 5.98e+02 2.83e+04 0.0 3.07e-01 3.5 4.20e-01 8.88e-02f 1\n", + " 169r 1.6685833e+00 5.10e+02 2.37e+04 0.0 4.05e-01 3.0 4.40e-01 1.57e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r 1.6646852e+00 3.71e+02 1.67e+04 0.0 4.02e-01 2.6 9.39e-01 3.00e-01f 1\n", + " 171r 1.6591374e+00 1.14e+02 7.26e+03 0.0 2.63e-01 3.0 6.21e-01 1.00e+00f 1\n", + " 172r 1.6536120e+00 8.68e+01 1.42e+04 0.0 9.76e-01 2.5 7.13e-01 2.67e-01f 1\n", + " 173r 1.6426070e+00 6.94e+01 1.10e+04 0.0 1.07e+00 2.0 2.54e-01 2.17e-01f 1\n", + " 174r 1.6284933e+00 3.33e+01 5.13e+03 0.0 4.13e-01 2.5 6.67e-01 6.73e-01f 1\n", + " 175r 1.5935100e+00 1.54e+01 2.27e+04 0.0 1.90e+00 2.0 6.06e-01 7.20e-01f 1\n", + " 176r 1.5929822e+00 1.23e+01 1.64e+05 0.0 2.21e+00 3.3 1.75e-01 2.22e-01f 1\n", + " 177r 1.5859536e+00 5.02e+00 5.55e+04 0.0 1.72e+00 2.8 4.75e-01 9.96e-01f 1\n", + " 178r 1.5859512e+00 4.72e+00 5.17e+04 0.0 1.53e-01 5.1 5.79e-02 6.60e-02h 1\n", + " 179r 1.5859174e+00 3.88e+00 9.40e+04 0.0 1.17e-01 4.6 1.67e-01 2.79e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r 1.5858398e+00 3.60e+00 3.68e+05 0.0 2.78e-01 4.1 1.62e-01 2.08e-01h 1\n", + " 181r 1.5858378e+00 3.56e+00 3.63e+05 0.0 3.13e+00 4.5 4.66e-03 1.44e-02h 1\n", + " 182r 1.5858026e+00 2.31e+00 1.90e+05 0.0 1.78e+00 5.0 5.37e-03 6.98e-01h 1\n", + " 183r 1.5857472e+00 2.12e+00 1.46e+05 0.0 5.52e-01 4.5 1.00e+00 3.51e-01h 1\n", + " 184r 1.5854674e+00 1.88e+00 9.10e+04 0.0 3.96e-01 4.0 4.77e-01 5.90e-01h 1\n", + " 185r 1.5853078e+00 1.74e+00 5.00e+04 0.0 1.61e-01 4.4 8.45e-01 8.98e-01h 1\n", + " 186r 1.5853077e+00 1.74e+00 4.96e+04 0.0 2.75e+00 4.9 2.08e-03 3.86e-04h 1\n", + " 187r 1.5852907e+00 1.73e+00 5.97e+03 0.0 1.55e-02 5.3 8.21e-01 6.83e-01h 1\n", + " 188r 1.5852678e+00 1.71e+00 6.71e+03 0.0 4.90e-02 4.8 2.18e-01 3.06e-01f 1\n", + " 189r 1.5852396e+00 1.71e+00 1.62e+04 0.0 4.74e-03 5.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r 1.5851553e+00 1.70e+00 5.31e+02 0.0 9.10e-03 4.8 1.00e+00 1.00e+00f 1\n", + " 191r 1.5849859e+00 1.67e+00 7.19e+02 0.0 3.48e-02 4.3 1.00e+00 6.71e-01f 1\n", + " 192r 1.5842952e+00 1.49e+00 1.44e+06 0.0 3.04e-01 3.8 2.86e-01 9.20e-01f 1\n", + " 193r 1.5842933e+00 1.34e+00 1.36e+06 0.0 5.48e-02 5.1 1.98e-01 5.55e-02f 1\n", + " 194r 1.5842114e+00 2.97e-01 4.70e+05 0.0 9.05e-02 4.7 1.50e-01 7.76e-01h 1\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ + " 195 1.5931545e+00 2.96e-01 4.86e+01 -1.0 3.55e+00 - 4.69e-01 4.63e-03h 7\n", + " 196 1.6019471e+00 2.95e-01 6.05e+01 -1.0 4.34e+00 - 5.73e-01 4.62e-03h 7\n", + " 197 1.6040463e+00 2.94e-01 6.64e+01 -1.0 6.59e+00 - 9.59e-02 1.15e-03h 9\n", + " 198 1.6061191e+00 2.94e-01 1.24e+02 -1.0 7.02e+00 - 5.91e-01 1.15e-03h 9\n", + " 199 1.8631653e+00 1.14e+01 6.91e+03 -1.0 1.21e+01 - 4.50e-02 1.46e-01f 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200 2.0721487e+00 1.64e+01 1.03e+04 -1.0 1.30e+01 - 1.59e-01 1.29e-01f 2\n", + " 201 2.5125539e+00 4.58e+00 2.17e+04 -1.0 9.64e+00 - 2.48e-01 2.36e-01F 1\n", + " 202 2.5290806e+00 4.53e+00 2.18e+04 -1.0 9.99e+00 - 2.23e-01 7.53e-03f 1\n", + " 203 2.5289962e+00 4.53e+00 6.90e+06 -1.0 1.87e+02 - 8.71e-02 8.30e-05h 1\n", + " 204r 2.5289962e+00 4.53e+00 1.00e+03 0.7 0.00e+00 - 0.00e+00 2.60e-07R 12\n", + " 205r 2.5145963e+00 1.12e+00 1.88e+03 0.7 4.53e+03 - 3.43e-01 9.90e-04f 1\n", + " 206 2.5147261e+00 1.12e+00 2.76e+04 -1.0 2.41e+00 - 7.56e-01 6.80e-05h 1\n", + " 207 1.9964884e+00 4.21e+00 1.01e+04 -1.0 4.29e+00 - 6.34e-01 2.88e-01h 1\n", + " 208r 1.9964884e+00 4.21e+00 1.00e+03 0.6 0.00e+00 - 0.00e+00 4.23e-07R 7\n", + " 209r 1.9792325e+00 8.59e-01 9.48e+02 0.6 4.18e+03 - 5.13e-02 9.98e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 210 1.9794274e+00 8.59e-01 2.19e+04 -1.0 1.92e+00 - 7.84e-01 1.10e-04h 1\n", + " 211 1.5234017e+00 2.49e+00 1.01e+04 -1.0 3.88e+00 - 5.41e-01 2.89e-01h 1\n", + " 212r 1.5234017e+00 2.49e+00 1.00e+03 0.4 0.00e+00 - 0.00e+00 3.72e-07R 8\n", + " 213r 1.5157393e+00 6.23e-01 9.08e+02 0.4 2.49e+03 - 9.13e-02 9.91e-04f 1\n", + " 214 1.5159338e+00 6.23e-01 3.02e+04 -1.0 1.51e+00 - 8.64e-01 1.11e-04h 1\n", + " 215 1.5132542e+00 6.24e-01 3.02e+04 -1.0 1.04e+03 - 2.76e-05 2.76e-05s 7\n", + " 216 1.5077674e+00 6.27e-01 3.02e+04 -1.0 1.56e+03 - 4.32e-05 4.32e-05s 7\n", + " 217r 1.5077674e+00 6.27e-01 1.00e+03 -0.2 0.00e+00 - 0.00e+00 0.00e+00R 1\n", + " 218r 1.5068280e+00 3.95e-01 8.80e+02 -0.2 6.27e+02 - 1.21e-01 9.90e-04f 1\n", + " 219 1.5068594e+00 3.95e-01 1.87e+05 -1.0 1.49e+00 - 8.72e-01 1.84e-05h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 220 1.1778400e+00 1.46e+00 9.50e+04 -1.0 4.68e+00 - 4.93e-01 2.36e-01f 3\n", + " 221r 1.1778400e+00 1.46e+00 1.00e+03 0.2 0.00e+00 - 0.00e+00 4.77e-07R 9\n", + " 222r 1.1743123e+00 3.98e-01 8.80e+02 0.2 1.46e+03 - 1.20e-01 9.91e-04f 1\n", + " 223 1.1744243e+00 3.98e-01 6.73e+04 -1.0 1.28e+00 - 8.47e-01 6.15e-05h 1\n", + " 224 1.1708714e+00 3.98e-01 6.73e+04 -1.0 1.30e+03 - 4.09e-05 4.09e-05s 8\n", + " 225 1.1537167e+00 4.07e-01 6.73e+04 -1.0 1.32e+03 - 1.34e-04 1.34e-04s 8\n", + " 226r 1.1537167e+00 4.07e-01 1.00e+03 -0.4 0.00e+00 - 0.00e+00 0.00e+00R 1\n", + " 227r 1.1539935e+00 3.20e-01 9.72e+02 -0.4 4.07e+02 - 2.72e-02 9.91e-04f 1\n", + " 228 1.1540227e+00 3.20e-01 2.74e+05 -1.0 1.25e+00 - 8.84e-01 1.61e-05h 1\n", + " 229 8.6801118e-01 2.74e+00 1.44e+05 -1.0 4.60e+00 - 4.73e-01 2.50e-01f 3\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 230r 8.6801118e-01 2.74e+00 1.00e+03 0.4 0.00e+00 - 0.00e+00 3.50e-07R 10\n", + " 231r 8.6396090e-01 6.73e-01 9.32e+02 0.4 2.74e+03 - 6.67e-02 9.91e-04f 1\n", + " 232 8.6425108e-01 6.73e-01 3.32e+04 -1.0 1.10e+00 - 7.85e-01 1.50e-04h 1\n", + " 233r 8.6425108e-01 6.73e-01 1.00e+03 -0.2 0.00e+00 - 0.00e+00 3.22e-07R 7\n", + " 234r 8.6384328e-01 3.09e-01 9.50e+02 -0.2 6.73e+02 - 5.37e-02 9.91e-04f 1\n", + " 235 8.6391522e-01 3.09e-01 1.37e+05 -1.0 1.08e+00 - 8.06e-01 3.75e-05h 1\n", + " 236 3.5285780e-01 7.89e+00 7.68e+04 -1.0 3.01e+00 - 4.41e-01 5.00e-01f 2\n", + " 237 3.5163525e-01 7.89e+00 1.79e+07 -1.0 5.09e+02 - 2.67e-02 2.85e-05h 3\n", + " 238r 3.5163525e-01 7.89e+00 1.00e+03 0.9 0.00e+00 - 0.00e+00 3.95e-07R 13\n", + " 239r 3.4710140e-01 1.97e+00 1.17e+03 0.9 7.89e+03 - 7.40e-02 9.91e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 240 3.4863649e-01 1.97e+00 1.05e+04 -1.0 8.43e-01 - 7.74e-01 7.94e-04h 1\n", + " 241 3.4830631e-01 1.97e+00 3.09e+07 -1.0 1.98e+02 - 6.69e-02 2.26e-05h 1\n", + " 242r 3.4830631e-01 1.97e+00 1.00e+03 0.3 0.00e+00 - 0.00e+00 4.01e-07R 13\n", + " 243r 3.4655510e-01 5.06e-01 9.51e+02 0.3 1.97e+03 - 4.87e-02 9.90e-04f 1\n", + " 244 3.4692563e-01 5.06e-01 4.39e+04 -1.0 8.40e-01 - 7.79e-01 1.92e-04h 1\n", + " 245 -3.0799916e-01 9.82e+00 1.87e+04 -1.0 2.44e+00 - 5.73e-01 1.00e+00f 1\n", + " 246 -3.0601273e-01 9.81e+00 1.62e+07 -1.0 5.16e+00 - 7.98e-01 9.18e-04h 1\n", + " 247 -2.9718521e-01 9.54e+00 5.29e+07 -1.0 3.98e+02 - 3.00e-02 1.11e-03h 2\n", + " 248 -2.8827941e-01 9.41e+00 2.56e+08 -1.0 3.98e+02 - 4.54e-02 6.84e-04h 3\n", + " 249 -2.9002762e-01 9.41e+00 1.58e+09 -1.0 3.99e+02 - 3.52e-02 8.85e-05h 6\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 250 -2.9159569e-01 9.41e+00 1.51e+10 -1.0 3.99e+02 - 3.78e-02 4.34e-05h 7\n", + " 251 -2.9255180e-01 9.41e+00 2.79e+11 -1.0 3.99e+02 - 6.38e-02 2.15e-05h 8\n", + " 252 -4.1747258e-01 7.75e+00 7.31e+12 -1.0 3.99e+02 - 8.60e-02 2.74e-03h 1\n", + " 253 -4.1747258e-01 7.72e+00 2.88e+13 -1.0 3.38e-06 18.9 9.90e-01 1.00e+00h 1\n", + "Reallocating memory for MA57: lfact (108802295)\n", + " 254 -4.1747258e-01 7.58e+00 5.57e+13 -1.0 1.96e-05 18.5 9.90e-01 1.00e+00h 1\n", + "Reallocating memory for MA57: lfact (119949649)\n", + " 255 -4.1747258e-01 7.55e+00 7.46e+13 -1.0 7.94e-05 18.0 9.92e-01 9.69e-01h 1\n", + " 256 -4.1747258e-01 7.50e+00 7.28e+13 -1.0 2.31e-04 17.5 1.00e+00 1.00e+00h 1\n", + " 257 -4.1747257e-01 8.65e+00 5.47e+13 -1.0 5.20e-04 17.0 1.00e+00 1.00e+00h 1\n", + "Reallocating memory for MA57: lfact (129815880)\n", + " 258 -4.1747255e-01 6.70e+00 2.82e+13 -1.0 9.73e-04 16.5 1.00e+00 1.00e+00H 1\n", + " 259 -4.1747255e-01 7.08e+00 2.60e+13 -1.0 2.78e-04 17.0 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 260 -4.1747252e-01 7.54e+00 2.41e+13 -1.0 7.72e-04 16.5 1.00e+00 1.00e+00h 1\n", + "Reallocating memory for MA57: lfact (148649046)\n", + " 261 -4.1747251e-01 7.50e+00 2.15e+13 -1.0 2.58e-04 16.9 1.00e+00 1.00e+00h 1\n", + " 262 -4.1747247e-01 7.84e+00 1.76e+13 -1.0 6.34e-04 16.4 1.00e+00 1.00e+00h 1\n", + " 263 -4.1747246e-01 7.54e+00 1.69e+13 -1.0 2.28e-04 16.9 1.00e+00 1.00e+00h 1\n", + " 264 -4.1747241e-01 7.92e+00 1.54e+13 -1.0 6.28e-04 16.4 1.00e+00 1.00e+00h 1\n", + " 265 -4.1747239e-01 7.90e+00 1.41e+13 -1.0 2.15e-04 16.8 1.00e+00 1.00e+00h 1\n", + " 266 -4.1747232e-01 6.78e+00 1.38e+13 -1.0 6.32e-04 16.3 1.00e+00 1.00e+00h 1\n", + " 267 -4.1747230e-01 6.02e+00 1.28e+13 -1.0 2.20e-04 16.8 1.00e+00 1.00e+00h 1\n", + " 268 -4.1747229e-01 5.84e+00 1.25e+13 -1.0 7.31e-04 16.3 1.00e+00 7.58e-02h 1\n", + " 269 -4.1747229e-01 5.84e+00 2.71e+13 -1.0 5.97e-07 19.4 1.00e+00 1.00e+00h 1\n", + "WARNING: Problem in step computation; switching to emergency mode.\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 230 4.2560776e+00 2.39e+00 2.72e+10 -1.0 1.03e-02 12.4 1.00e+00 1.00e+00h 1\n", - " 231 4.2560816e+00 2.39e+00 5.15e+10 -1.0 7.08e-03 12.8 1.00e+00 1.00e+00h 1\n", - " 232 4.2560832e+00 2.39e+00 9.59e+10 -1.0 4.98e-03 13.2 1.00e+00 1.00e+00h 1\n", - " 233 4.2560839e+00 2.39e+00 1.64e+11 -1.0 3.28e-03 13.7 1.00e+00 1.00e+00h 1\n", - " 234 4.2560841e+00 2.39e+00 2.63e+11 -1.0 1.94e-03 14.1 1.00e+00 1.00e+00h 1\n", - " 235 4.2560843e+00 2.39e+00 3.42e+11 -1.0 1.03e-03 14.5 1.00e+00 1.00e+00h 1\n", - " 236 4.2560846e+00 2.39e+00 7.97e+11 -1.0 7.32e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 237 4.2560847e+00 2.39e+00 1.33e+12 -1.0 3.91e-03 14.5 1.00e+00 1.00e+00h 1\n", - " 238 4.2560848e+00 2.39e+00 1.66e+12 -1.0 2.13e-03 14.9 1.00e+00 1.00e+00h 1\n", - " 239 4.2560850e+00 2.48e+01 4.09e+12 -1.0 1.60e-02 14.4 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 240 4.2560855e+00 1.17e+01 8.51e+11 -1.0 6.93e-03 13.9 1.00e+00 1.00e+00h 1\n", - " 241 4.2560873e+00 5.00e+00 1.51e+11 -1.0 5.99e-03 13.5 1.00e+00 1.00e+00h 1\n", - " 242 4.2560928e+00 2.38e+00 7.69e+10 -1.0 7.50e-03 13.0 1.00e+00 1.00e+00h 1\n", - " 243 4.2560949e+00 2.38e+00 1.21e+11 -1.0 4.45e-03 13.4 1.00e+00 1.00e+00h 1\n", - " 244 4.2560958e+00 2.38e+00 1.66e+11 -1.0 2.37e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 245 4.2560958e+00 6.40e+01 3.49e+13 -1.0 1.73e+00 13.4 1.55e-02 3.12e-02h 6\n", - " 246 4.2561038e+00 3.21e+01 1.01e+13 -1.0 5.38e-02 12.9 8.63e-01 1.00e+00h 1\n", - " 247 4.2561038e+00 2.60e+01 8.78e+12 -1.0 6.74e-03 15.1 1.00e+00 1.00e+00h 1\n", - " 248 4.2561039e+00 2.75e+02 6.15e+13 -1.0 8.33e-02 14.6 4.55e-01 5.00e-01h 2\n", - " 249 4.2561039e+00 8.93e+01 2.93e+13 -1.0 1.94e-02 15.1 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 250 4.2561041e+00 2.64e+01 1.18e+13 -1.0 1.71e-02 14.6 1.00e+00 1.00e+00h 1\n", - " 251 4.2561042e+00 1.11e+01 8.13e+12 -1.0 8.14e-03 15.0 1.00e+00 1.00e+00h 1\n", - " 252 4.2561042e+00 7.80e+00 7.69e+12 -1.0 2.93e-03 15.4 1.00e+00 1.00e+00h 1\n", - " 253 4.2561043e+00 1.10e+01 4.81e+12 -1.0 8.26e-03 15.0 1.00e+00 1.00e+00H 1\n", - " 254 4.2561046e+00 8.71e+00 2.52e+12 -1.0 5.31e-03 14.5 1.00e+00 1.00e+00h 1\n", - " 255 4.2561054e+00 3.68e+00 9.59e+11 -1.0 5.87e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 256 4.2561080e+00 2.38e+00 2.88e+11 -1.0 5.03e-03 13.5 1.00e+00 1.00e+00H 1\n", - " 257 4.2561090e+00 2.38e+00 2.48e+11 -1.0 2.70e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 258 4.2561094e+00 2.38e+00 2.93e+11 -1.0 1.22e-03 14.4 1.00e+00 1.00e+00h 1\n", - " 259 4.2561106e+00 2.38e+00 8.20e+11 -1.0 7.22e-03 13.9 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 260 4.2561111e+00 2.38e+00 5.44e+12 -1.0 1.56e-02 14.3 1.00e+00 1.00e+00h 1\n", - " 261 4.2561111e+00 2.86e+00 6.29e+12 -1.0 1.39e-03 15.7 1.00e+00 1.00e+00h 1\n", - " 262 4.2561111e+00 1.08e+01 1.25e+13 -1.0 7.51e-03 15.2 1.00e+00 1.00e+00h 1\n", - " 263 4.2561112e+00 1.65e+01 1.31e+13 -1.0 3.40e-03 15.6 1.00e+00 1.00e+00h 1\n", - " 264 4.2561112e+00 5.63e+01 8.39e+12 -1.0 1.28e-02 15.1 1.00e+00 1.00e+00h 1\n", - " 265 4.2561115e+00 2.37e+01 4.12e+11 -1.0 9.62e-03 14.6 1.00e+00 1.00e+00h 1\n", - " 266 4.2561122e+00 9.26e+00 4.68e+11 -1.0 7.91e-03 14.2 1.00e+00 1.00e+00h 1\n", - " 267 4.2561145e+00 2.85e+00 2.94e+11 -1.0 5.74e-03 13.7 1.00e+00 1.00e+00h 1\n", - " 268 4.2561154e+00 2.38e+00 3.42e+11 -1.0 2.86e-03 14.1 1.00e+00 1.00e+00h 1\n", - " 269 4.2561181e+00 2.38e+00 3.40e+11 -1.0 4.76e-03 13.6 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 270 4.2561264e+00 1.09e+01 2.47e+11 -1.0 1.88e-02 13.2 1.00e+00 1.00e+00h 1\n", - " 271 4.2561295e+00 4.79e+00 2.24e+12 -1.0 1.71e-02 13.6 1.00e+00 1.00e+00h 1\n", - " 272 4.2561297e+00 4.50e+00 3.36e+12 -1.0 4.39e-03 14.9 1.00e+00 1.00e+00h 1\n", - " 273 4.2561301e+00 3.36e+01 8.12e+12 -1.0 6.49e-02 14.4 1.00e+00 1.00e+00H 1\n", - " 274 4.2561316e+00 1.59e+01 1.99e+12 -1.0 9.88e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 275 4.2561321e+00 1.02e+01 7.36e+11 -1.0 3.83e-03 14.4 1.00e+00 1.00e+00h 1\n", - " 276 4.2561337e+00 6.52e+00 3.59e+11 -1.0 6.38e-03 13.9 1.00e+00 1.00e+00h 1\n", - " 277 4.2561388e+00 4.20e+00 2.17e+12 -1.0 2.59e-02 13.4 1.00e+00 1.00e+00h 1\n", - " 278 4.2561390e+00 3.90e+00 2.02e+12 -1.0 3.44e-03 14.8 1.00e+00 1.00e+00h 1\n", - " 279 4.2561398e+00 1.05e+01 2.35e+12 -1.0 1.28e-02 14.3 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 280 4.2561420e+00 2.90e+01 3.07e+12 -1.0 1.10e-02 13.8 1.00e+00 1.00e+00h 1\n", - " 281 4.2561428e+00 2.01e+01 3.47e+12 -1.0 2.08e-02 14.2 1.00e+00 1.00e+00h 1\n", - " 282 4.2561454e+00 7.88e+00 7.52e+11 -1.0 6.73e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 283 4.2561534e+00 2.69e+00 1.93e+11 -1.0 1.03e-02 13.3 1.00e+00 1.00e+00h 1\n", - " 284 4.2561775e+00 8.58e+02 1.14e+14 -1.0 2.00e-01 12.8 5.02e-01 1.00e+00h 1\n", - " 285 4.2561867e+00 2.82e+02 3.70e+13 -1.0 2.95e-02 13.2 1.00e+00 1.00e+00h 1\n", - " 286 4.2561902e+00 9.32e+01 1.07e+14 -1.0 6.58e-02 13.7 4.92e-01 1.00e+00h 1\n", - " 287 4.2561902e+00 1.36e+02 3.93e+13 -1.0 1.21e-02 15.9 1.00e+00 1.00e+00h 1\n", - " 288 4.2561902e+00 5.97e+01 2.16e+13 -1.0 1.18e-02 15.4 1.00e+00 1.00e+00h 1\n", - " 289 4.2561904e+00 2.33e+01 9.78e+12 -1.0 1.09e-02 14.9 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 290 4.2561910e+00 7.62e+00 3.77e+12 -1.0 9.73e-03 14.5 1.00e+00 1.00e+00h 1\n", - " 291 4.2561928e+00 2.73e+00 1.26e+12 -1.0 6.91e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 292 4.2561930e+00 2.71e+00 1.39e+12 -1.0 4.16e-01 13.5 1.76e-01 3.12e-02h 6\n", - " 293 4.2561932e+00 3.65e+00 1.53e+12 -1.0 2.28e-03 14.8 1.00e+00 1.00e+00s 22\n", - " 294 4.2561940e+00 1.53e+01 1.35e+12 -1.0 9.36e-03 14.4 1.00e+00 1.00e+00s 22\n", - " 295 4.2561963e+00 7.15e+00 3.23e+11 -1.0 5.78e-03 13.9 1.00e+00 1.00e+00s 22\n", - " 296 4.2562035e+00 2.61e+00 8.56e+11 -1.0 2.31e-02 13.4 1.00e+00 0.00e+00S 22\n", - " 297 4.2562062e+00 2.36e+00 5.89e+11 -1.0 8.69e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 298 4.2562143e+00 1.06e+01 2.73e+12 -1.0 4.19e-02 13.4 1.00e+00 1.00e+00h 1\n", - " 299 4.2562147e+00 1.37e+01 9.50e+11 -1.0 2.93e-03 14.7 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 300 4.2562158e+00 8.67e+00 2.25e+11 -1.0 5.22e-03 14.2 1.00e+00 1.00e+00h 1\n", - " 301 4.2562194e+00 5.14e+00 8.38e+11 -1.0 5.66e-03 13.7 1.00e+00 1.00e+00h 1\n", - " 302 4.2562302e+00 3.77e+00 2.70e+11 -1.0 1.36e-02 13.3 1.00e+00 1.00e+00h 1\n", - " 303 4.2562631e+00 1.37e+01 1.73e+12 -1.0 6.22e-02 12.8 1.00e+00 1.00e+00h 1\n", - " 304 4.2562755e+00 5.94e+00 7.32e+11 -1.0 1.51e-02 13.2 1.00e+00 1.00e+00h 1\n", - " 305 4.2562761e+00 5.58e+00 1.24e+12 -1.0 3.23e-03 14.5 1.00e+00 1.00e+00h 1\n", - " 306 4.2562763e+00 4.93e+00 1.69e+12 -1.0 1.80e-03 15.0 1.00e+00 1.00e+00h 1\n", - " 307 4.2562770e+00 2.09e+03 1.86e+15 -1.0 1.08e-01 14.5 2.04e-01 1.00e+00h 1\n", - " 308 4.2562791e+00 6.98e+02 6.07e+14 -1.0 2.63e-02 14.0 1.00e+00 1.00e+00h 1\n", - " 309 4.2562853e+00 2.41e+02 1.98e+14 -1.0 2.03e-02 13.5 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 310 4.2563043e+00 9.21e+01 6.37e+13 -1.0 4.21e-02 13.0 1.00e+00 1.00e+00h 1\n", - " 311 4.2563115e+00 4.81e+01 1.80e+13 -1.0 2.47e-02 13.5 1.00e+00 1.00e+00h 1\n", - " 312 4.2563333e+00 2.29e+01 5.29e+12 -1.0 3.04e-02 13.0 1.00e+00 1.00e+00h 1\n", - " 313 4.2563334e+00 2.06e+01 2.68e+12 -1.0 1.56e-03 15.2 1.00e+00 1.00e+00h 1\n", - " 314 4.2563338e+00 1.08e+01 1.39e+13 -1.0 1.45e-02 14.7 1.00e+00 1.00e+00h 1\n", - " 315 4.2563340e+00 1.95e+03 1.45e+15 -1.0 9.63e-02 15.2 6.31e-01 1.00e+00h 1\n", - " 316 4.2563344e+00 6.49e+02 4.67e+14 -1.0 2.65e-02 14.7 1.00e+00 1.00e+00h 1\n", - " 317 4.2563358e+00 2.23e+02 1.51e+14 -1.0 2.05e-02 14.2 1.00e+00 1.00e+00h 1\n", - " 318 4.2563399e+00 8.33e+01 4.84e+13 -1.0 1.52e-02 13.7 1.00e+00 1.00e+00h 1\n", - " 319 4.2563415e+00 4.19e+01 1.33e+13 -1.0 8.78e-03 14.2 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 320 4.2563462e+00 2.01e+01 5.08e+12 -1.0 3.32e-02 13.7 1.00e+00 1.00e+00h 1\n", - " 321 4.2563464e+00 1.71e+01 5.18e+12 -1.0 5.39e-03 15.0 1.00e+00 1.00e+00h 1\n" + " 270r-4.1747229e-01 5.84e+00 1.00e+03 0.8 0.00e+00 19.9 0.00e+00 0.00e+00R 1\n", + " 271r-4.1810499e-01 2.37e+00 4.56e+03 0.8 5.84e+03 - 6.77e-03 9.90e-04f 1\n", + " 272 -2.8216332e-01 2.24e+00 1.02e+02 -1.0 2.37e+00 - 5.38e-02 5.27e-02h 1\n", + " 273 -2.8046112e-01 2.24e+00 2.28e+05 -1.0 2.16e+00 - 4.97e-01 6.79e-04h 1\n", + " 274r-2.8046112e-01 2.24e+00 1.00e+03 0.4 0.00e+00 - 0.00e+00 4.26e-07R 5\n", + " 275r-2.7886965e-01 1.37e+00 9.97e+02 0.4 1.33e+03 - 5.09e-03 1.30e-03f 1\n", + " 276 -2.6666285e-01 1.36e+00 8.45e+03 -1.0 1.85e+00 - 2.51e-01 5.00e-03h 1\n", + " 277 -2.6653720e-01 1.36e+00 4.82e+07 -1.0 1.84e+00 - 2.84e-01 5.12e-05h 1\n", + " 278r-2.6653720e-01 1.36e+00 9.99e+02 0.1 0.00e+00 - 0.00e+00 2.56e-07R 2\n", + " 279r-2.6385279e-01 9.82e-01 9.98e+02 0.1 6.23e+02 - 1.74e-03 1.52e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 280 -2.5566017e-01 9.78e-01 1.58e+04 -1.0 1.71e+00 - 3.28e-01 3.58e-03h 1\n", + " 281 -2.5557460e-01 9.78e-01 2.04e+08 -1.0 1.76e+00 - 4.63e-01 3.64e-05h 1\n", + " 282r-2.5557460e-01 9.78e-01 1.00e+03 -0.0 0.00e+00 - 0.00e+00 1.82e-07R 2\n", + " 283r-2.5288977e-01 2.34e-01 9.88e+02 -0.0 9.57e+02 - 2.17e-02 1.01e-03f 1\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 322 4.2563471e+00 2.86e+01 1.60e+12 -1.0 7.74e-03 14.5 1.00e+00 1.00e+00h 1\n", - " 323 4.2563492e+00 9.95e+00 8.96e+11 -1.0 1.00e-02 14.1 1.00e+00 1.00e+00h 1\n", - " 324 4.2563554e+00 3.39e+00 3.98e+11 -1.0 1.00e-02 13.6 1.00e+00 1.00e+00h 1\n", - " 325 4.2563577e+00 5.25e+00 3.97e+11 -1.0 4.13e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 326 4.2563649e+00 1.22e+01 3.38e+11 -1.0 8.64e-03 13.5 1.00e+00 1.00e+00h 1\n", - " 327 4.2563676e+00 5.91e+00 3.70e+11 -1.0 6.50e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 328 4.2563757e+00 2.47e+00 5.23e+11 -1.0 1.63e-02 13.5 1.00e+00 1.00e+00h 1\n", - " 329 4.2563788e+00 5.71e+00 3.55e+11 -1.0 5.89e-03 13.9 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 330 4.2563882e+00 3.09e+00 1.51e+11 -1.0 6.08e-03 13.4 1.00e+00 1.00e+00h 1\n", - " 331 4.2564165e+00 3.75e+00 7.63e+10 -1.0 7.64e-03 13.0 1.00e+00 1.00e+00h 1\n", - " 332 4.2564272e+00 2.32e+00 1.05e+11 -1.0 4.88e-03 13.4 1.00e+00 1.00e+00h 1\n", - " 333 4.2564595e+00 9.24e+00 8.22e+10 -1.0 1.62e-02 12.9 1.00e+00 1.00e+00h 1\n", - " 334 4.2565574e+00 2.30e+00 6.86e+12 -1.0 8.50e-02 12.4 1.00e+00 1.00e+00h 1\n", - " 335 4.2565575e+00 2.30e+00 1.00e+13 -1.0 2.59e-03 15.6 1.00e+00 1.00e+00h 1\n", - " 336 4.2565575e+00 2.30e+00 1.17e+13 -1.0 1.18e-03 16.0 1.00e+00 1.00e+00h 1\n", - " 337 4.2565576e+00 2.30e+00 2.54e+13 -1.0 6.68e-03 15.5 1.00e+00 1.00e+00h 1\n", - " 338 4.2565576e+00 5.11e+00 3.61e+13 -1.0 4.04e-03 15.9 1.00e+00 1.00e+00h 1\n", - " 339 4.2565577e+00 6.76e+00 4.07e+13 -1.0 1.73e-03 16.4 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 340 4.2565577e+00 1.99e+01 7.49e+13 -1.0 8.75e-03 15.9 1.00e+00 1.00e+00h 1\n", - " 341 4.2565577e+00 3.00e+01 8.61e+13 -1.0 4.19e-03 16.3 1.00e+00 1.00e+00h 1\n", - " 342 4.2565577e+00 2.16e+02 1.52e+14 -1.0 2.79e-02 15.8 1.00e+00 1.00e+00h 1\n", - " 343 4.2565579e+00 9.06e+01 3.14e+13 -1.0 1.34e-02 15.4 1.00e+00 1.00e+00h 1\n", - " 344 4.2565582e+00 3.86e+01 5.20e+12 -1.0 1.08e-02 14.9 1.00e+00 1.00e+00h 1\n", - " 345 4.2565594e+00 1.59e+01 1.19e+12 -1.0 9.08e-03 14.4 1.00e+00 1.00e+00h 1\n", - " 346 4.2565598e+00 1.02e+01 1.83e+12 -1.0 3.72e-03 14.8 1.00e+00 1.00e+00h 1\n", - " 347 4.2565611e+00 5.67e+00 9.33e+11 -1.0 6.08e-03 14.4 1.00e+00 1.00e+00h 1\n", - " 348 4.2565650e+00 9.05e+00 7.20e+11 -1.0 1.09e-02 13.9 1.00e+00 1.00e+00h 1\n", - " 349 4.2565767e+00 4.43e+00 1.76e+11 -1.0 5.64e-03 13.4 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 350 4.2566121e+00 6.95e+02 1.40e+14 -1.0 1.71e-01 12.9 4.49e-01 1.00e+00h 1\n", - " 351 4.2566138e+00 2.29e+02 4.39e+13 -1.0 1.90e-02 14.3 1.00e+00 1.00e+00h 1\n", - " 352 4.2566189e+00 7.68e+01 1.39e+13 -1.0 1.47e-02 13.8 1.00e+00 1.00e+00h 1\n", - " 353 4.2566198e+00 4.72e+01 7.48e+12 -1.0 1.20e-02 14.2 1.00e+00 5.00e-01h 2\n", - " 354 4.2566212e+00 4.36e+02 3.42e+13 -1.0 2.03e-01 13.7 6.12e-02 2.47e-01h 3\n", - " 355 4.2566215e+00 3.84e+02 3.03e+13 -1.0 1.64e-02 14.2 1.00e+00 1.25e-01h 4\n", - " 356 4.2566216e+00 3.80e+02 3.00e+13 -1.0 1.64e-02 13.7 1.00e+00 1.03e-02h 7\n", - " 357 4.2566216e+00 3.77e+02 2.98e+13 -1.0 1.58e-02 14.1 1.00e+00 7.81e-03h 8\n", - " 358 4.2566256e+00 2.06e+02 1.66e+13 -1.0 1.64e-02 13.6 1.00e+00 5.52e-01h 1\n", - " 359 4.2566256e+00 1.92e+02 1.62e+13 -1.0 1.30e-02 15.0 1.00e+00 7.00e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 360 4.2566256e+00 1.86e+02 4.72e+14 -1.0 4.13e-04 18.1 1.00e+00 9.51e-01h 1\n", + " 284 -2.4898130e-01 2.34e-01 3.67e+04 -1.0 1.66e+00 - 3.63e-01 1.75e-03h 1\n", + " 285 -2.4894035e-01 2.34e-01 1.16e+09 -1.0 1.74e+00 - 5.56e-01 1.76e-05h 1\n", + " 286r-2.4894035e-01 2.34e-01 1.00e+03 -0.6 0.00e+00 - 0.00e+00 8.81e-08R 2\n", + " 287r-2.3965703e-01 7.71e-02 9.96e+02 -0.6 2.31e+02 - 5.04e-03 1.00e-03f 1\n", + " 288 -2.3877329e-01 7.71e-02 1.67e+05 -1.0 1.54e+00 - 3.91e-01 4.25e-04h 1\n", + " 289r-2.3877329e-01 7.71e-02 9.99e+02 -1.0 0.00e+00 - 0.00e+00 2.66e-07R 5\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 290r-2.2399010e-01 1.27e-01 1.01e+03 -1.0 6.87e+01 - 1.16e-03 1.31e-03f 1\n", + " 291r-2.1360278e-01 1.62e-01 9.95e+02 -1.0 3.07e+01 - 3.47e-03 2.58e-03f 1\n", + " 292r-2.0965860e-01 1.68e-01 9.80e+02 -1.0 7.48e+00 - 1.45e-02 6.21e-03f 1\n", + " 293r-2.0992870e-01 1.71e-01 8.90e+02 -1.0 2.17e+00 - 9.98e-02 1.67e-02f 1\n", + " 294r-2.1664227e-01 1.97e-01 6.69e+02 -1.0 1.85e+00 - 3.00e-01 1.13e-01f 1\n", + " 295r-2.4484199e-01 6.56e-01 1.20e+03 -1.0 1.30e+00 - 4.76e-01 4.21e-01f 1\n", + " 296r-3.0079187e-01 1.57e+00 3.25e+03 -1.0 6.69e-01 - 4.65e-01 9.08e-01f 1\n", + " 297r-3.0475571e-01 3.23e-01 9.78e+02 -1.0 2.24e-01 0.0 6.27e-01 1.00e+00f 1\n", + " 298r-3.1597797e-01 6.55e-01 1.55e+03 -1.0 3.62e-01 - 4.30e-01 1.00e+00f 1\n", + " 299r-3.2423521e-01 3.24e-01 7.49e+03 -1.0 1.68e-01 - 2.19e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 300r-3.0935131e-01 1.76e+00 5.84e+03 -1.0 1.09e+00 - 1.74e-01 1.00e+00f 1\n", + " 301r-3.1363629e-01 2.94e-01 1.18e+03 -1.0 1.49e-01 1.3 9.84e-01 1.00e+00f 1\n", + " 302r-3.1987438e-01 2.40e-02 1.80e+02 -1.0 7.96e-02 0.9 1.00e+00 1.00e+00f 1\n", + " 303 -3.1416592e-01 2.39e-02 1.14e+02 -1.0 1.94e+00 - 8.21e-01 2.95e-03h 7\n", + " 304 -3.1325143e-01 2.39e-02 1.76e+02 -1.0 3.24e+00 - 6.13e-01 5.26e-04h 10\n", + " 305 9.5114871e-02 9.27e+00 1.74e+03 -1.0 7.48e+00 - 5.73e-01 2.67e-01f 1\n", + " 306 1.2148588e-01 9.10e+00 1.82e+03 -1.0 1.46e+01 - 2.01e-01 1.06e-02f 1\n", + " 307 1.2184175e-01 9.09e+00 9.80e+04 -1.0 1.93e+02 - 6.38e-02 3.40e-04h 1\n", + " 308 1.1679732e-01 8.25e+00 4.49e+05 -1.0 2.93e+02 - 5.67e-02 2.31e-03h 3\n", + " 309 1.1904071e-01 8.19e+00 9.89e+05 -1.0 2.87e+02 - 4.04e-02 5.73e-04h 5\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 310 1.2144235e-01 8.18e+00 3.07e+06 -1.0 2.87e+02 - 5.25e-02 1.51e-04h 7\n", + " 311 1.2283157e-01 8.18e+00 1.48e+07 -1.0 2.87e+02 - 7.67e-02 7.61e-05h 8\n", + " 312 1.2356731e-01 8.18e+00 1.29e+08 -1.0 2.87e+02 - 1.34e-01 3.81e-05h 9\n", + " 313 3.2206813e-01 2.83e+00 8.99e+08 -1.0 2.87e+02 - 1.03e-01 9.75e-03h 1\n", "WARNING: Problem in step computation; switching to emergency mode.\n", - " 361r 4.2566256e+00 1.86e+02 1.00e+03 2.3 0.00e+00 19.4 0.00e+00 0.00e+00R 1\n", - " 362r 3.9349188e+00 5.91e+01 8.11e+03 2.3 1.86e+05 - 2.04e-03 9.93e-04f 1\n", - " 363 3.8951463e+00 5.88e+01 8.90e+01 -1.0 3.18e+00 - 1.64e-01 5.29e-03h 1\n", - " 364 3.4987072e+00 5.41e+01 1.07e+03 -1.0 2.71e+00 - 2.12e-02 6.85e-02h 1\n", - " 365 3.0437944e+00 5.23e+01 1.88e+03 -1.0 2.61e+00 - 2.07e-01 3.03e-02f 1\n", - " 366 3.0437944e+00 5.23e+01 5.02e+13 -1.0 7.20e-07 19.8 9.90e-01 1.00e+00h 1\n", - " 367 3.0437944e+00 5.23e+01 1.00e+14 -1.0 4.32e-06 19.4 1.00e+00 1.00e+00h 1\n", - " 368 3.0437944e+00 5.22e+01 1.50e+14 -1.0 1.94e-05 18.9 1.00e+00 1.00e+00h 1\n", - " 369 3.0437944e+00 5.18e+01 1.99e+14 -1.0 7.70e-05 18.4 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 370 3.0437944e+00 5.03e+01 2.42e+14 -1.0 2.81e-04 17.9 1.00e+00 1.00e+00h 1\n", - " 371 3.0437944e+00 4.55e+01 2.65e+14 -1.0 9.30e-04 17.5 1.00e+00 1.00e+00h 1\n", - " 372 3.0437944e+00 3.43e+01 2.40e+14 -1.0 2.53e-03 17.0 1.00e+00 1.00e+00h 1\n", - " 373 3.0437944e+00 1.84e+01 1.63e+14 -1.0 4.85e-03 16.5 1.00e+00 1.00e+00h 1\n", - " 374 3.0437945e+00 1.06e+01 8.40e+13 -1.0 6.27e-03 16.0 1.00e+00 1.00e+00h 1\n", - " 375 3.0437945e+00 7.14e+00 3.57e+13 -1.0 6.12e-03 15.5 1.00e+00 1.00e+00h 1\n", - " 376 3.0437946e+00 4.22e+00 1.34e+13 -1.0 5.86e-03 15.1 1.00e+00 1.00e+00h 1\n", - " 377 3.0437950e+00 2.77e+00 4.68e+12 -1.0 5.97e-03 14.6 1.00e+00 1.00e+00H 1\n", - " 378 3.0437964e+00 2.27e+00 1.56e+12 -1.0 5.44e-03 14.1 1.00e+00 1.00e+00H 1\n", - " 379 3.0437970e+00 2.19e+00 2.00e+12 -1.0 5.20e-03 14.5 1.00e+00 1.00e+00H 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 380r 3.0437970e+00 2.19e+00 1.00e+03 0.3 0.00e+00 15.0 0.00e+00 4.77e-07R 22\n", - " 381r 3.0277488e+00 8.56e-01 9.97e+02 0.3 1.71e+03 - 3.09e-03 1.27e-03f 1\n", - " 382 3.0258367e+00 8.56e-01 5.02e+03 -1.0 5.75e+00 - 1.39e-01 8.93e-05h 1\n", - " 383 2.5119049e+00 8.14e-01 6.30e+03 -1.0 3.57e+00 - 2.58e-01 4.31e-02h 1\n", - " 384 1.4747635e+00 7.39e-01 6.84e+03 -1.0 4.25e+00 - 2.14e-01 6.44e-02h 1\n", - " 385 1.4747639e+00 7.23e-01 2.73e+10 -1.0 8.49e-05 14.5 9.90e-01 1.00e+00h 1\n", - " 386 1.4747663e+00 6.57e-01 6.18e+10 -1.0 5.43e-04 14.0 1.00e+00 1.00e+00h 1\n", - " 387 1.4747771e+00 1.21e+00 1.56e+11 -1.0 3.88e-03 13.5 1.00e+00 1.00e+00h 1\n", - " 388 1.4748205e+00 3.88e+00 2.77e+11 -1.0 3.52e-03 13.1 1.00e+00 1.00e+00h 1\n", - " 389 1.4749832e+00 8.53e-01 8.94e+10 -1.0 3.01e-03 12.6 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 390 1.4755681e+00 6.55e-01 2.47e+10 -1.0 3.09e-03 12.1 1.00e+00 1.00e+00h 1\n", - " 391 1.4771870e+00 2.02e+00 4.49e+10 -1.0 4.78e-02 11.6 3.56e-01 7.93e-01f 1\n", - " 392r 1.4771870e+00 2.02e+00 1.00e+03 0.3 0.00e+00 13.0 0.00e+00 2.89e-07R 19\n", - " 393r 1.4927428e+00 1.16e+00 1.00e+03 0.3 8.15e+02 - 1.89e-04 2.45e-03f 1\n", - " 394 1.5079406e+00 1.15e+00 7.69e+00 -1.0 1.26e+01 - 5.70e-03 2.00e-03h 1\n", - " 395 1.5090774e+00 1.15e+00 4.36e+03 -1.0 6.94e+00 - 2.68e-01 2.07e-03f 1\n", - " 396 1.6207949e+00 1.11e+00 3.47e+03 -1.0 6.11e+00 - 7.09e-03 6.84e-02h 1\n", - " 397 1.6088534e+00 1.06e+00 7.31e+03 -1.0 8.68e+00 - 3.84e-01 4.71e-02h 1\n", - " 398 1.5976852e+00 1.05e+00 7.89e+03 -1.0 1.81e+01 - 7.86e-02 7.58e-03f 5\n", - " 399 1.5816168e+00 1.04e+00 1.04e+04 -1.0 2.25e+01 - 3.16e-01 1.00e-02f 5\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 400 9.7271193e-01 1.09e+03 8.43e+05 -1.0 4.89e+01 - 6.26e-02 3.09e-01f 1\n", - " 401 9.7274301e-01 3.43e+02 3.39e+11 -1.0 1.38e-02 12.5 9.90e-01 1.00e+00h 1\n", - " 402 9.7276631e-01 1.10e+02 2.69e+11 -1.0 1.15e-02 12.9 1.00e+00 1.00e+00h 1\n", - " 403 9.7277941e-01 3.65e+01 1.30e+11 -1.0 8.56e-03 13.3 1.00e+00 1.00e+00h 1\n", - " 404 9.7278596e-01 1.37e+01 2.05e+11 -1.0 5.17e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 405 9.7279210e-01 1.10e+01 2.91e+11 -1.0 3.62e-02 13.3 8.35e-01 2.50e-01h 3\n", - " 406 9.7280177e-01 7.13e+00 4.14e+11 -1.0 8.97e-03 13.7 1.00e+00 1.00e+00h 1\n", - " 407 9.7280608e-01 7.09e+00 3.12e+11 -1.0 2.62e-03 14.1 1.00e+00 1.00e+00h 1\n", - " 408 9.7282317e-01 7.06e+00 4.84e+11 -1.0 1.76e-02 13.7 1.00e+00 1.00e+00H 1\n", - " 409 9.7283036e-01 7.06e+00 8.91e+11 -1.0 7.50e-03 14.1 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 410r 9.7283036e-01 7.06e+00 1.00e+03 0.8 0.00e+00 14.5 0.00e+00 4.77e-07R 22\n", - " 411r 9.6511860e-01 1.57e+01 9.98e+02 0.8 2.11e+03 - 1.74e-03 1.81e-03f 1\n", - " 412r 9.7680368e-01 1.55e+01 9.92e+02 0.8 1.15e+01 2.0 1.81e-01 9.01e-03f 1\n", - " 413r 9.8096764e-01 4.32e+01 3.11e+04 0.8 3.59e+01 1.5 1.42e-02 4.18e-02f 1\n", - " 414r 1.0096362e+00 3.54e+01 2.61e+04 0.8 3.52e-01 3.8 6.87e-01 1.96e-01f 1\n", - " 415r 1.0314423e+00 2.43e+01 2.92e+04 0.8 2.42e-01 4.2 5.46e-01 3.66e-01f 1\n", - " 416r 1.0609470e+00 1.55e+01 2.25e+04 0.8 2.87e-01 3.7 8.85e-01 3.39e-01f 1\n", - " 417r 1.0776100e+00 5.19e+00 2.64e+04 0.8 1.33e-01 4.1 1.00e+00 5.96e-01f 1\n" + " 314r 3.2206813e-01 2.83e+00 1.00e+03 0.5 0.00e+00 - 0.00e+00 0.00e+00R 1\n", + " 315r 3.2069109e-01 1.50e+00 1.17e+03 0.5 2.82e+03 - 7.67e-03 9.93e-04f 1\n", + " 316 3.2073445e-01 1.50e+00 1.79e+03 -1.0 1.29e+00 - 2.22e-02 2.17e-05h 1\n", + " 317 2.4254907e-01 1.31e+00 1.70e+03 -1.0 1.56e+00 - 4.44e-02 1.24e-01h 1\n", + " 318 1.9541699e-01 1.21e+00 1.35e+03 -1.0 8.86e-01 - 2.14e-01 8.61e-02h 1\n", + " 319 1.4217922e-01 1.17e+00 6.87e+02 -1.0 8.75e-01 - 5.25e-01 1.15e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 320 5.9121160e-02 2.07e+00 9.13e+02 -1.0 1.71e+00 - 3.50e-01 2.83e-01h 1\n", + " 321 8.6869901e-02 1.49e+00 1.45e+03 -1.0 2.51e+00 - 4.13e-01 2.85e-01f 1\n", + " 322 1.5059214e+00 3.15e+02 2.15e+03 -1.0 3.95e+00 - 4.64e-01 1.83e-01f 2\n", + " 323 1.5059214e+00 3.15e+02 7.93e+13 -1.0 1.26e-06 19.8 9.92e-01 1.00e+00h 1\n", + " 324 1.5059214e+00 3.15e+02 1.58e+14 -1.0 7.54e-06 19.3 1.00e+00 1.00e+00h 1\n", + " 325 1.5059214e+00 3.13e+02 2.37e+14 -1.0 3.38e-05 18.8 1.00e+00 1.00e+00h 1\n", + " 326 1.5059214e+00 3.08e+02 3.11e+14 -1.0 1.34e-04 18.4 1.00e+00 1.00e+00h 1\n", + " 327 1.5059214e+00 2.89e+02 3.71e+14 -1.0 4.80e-04 17.9 1.00e+00 1.00e+00h 1\n", + " 328 1.5059214e+00 2.34e+02 3.85e+14 -1.0 1.50e-03 17.4 1.00e+00 1.00e+00h 1\n", + " 329 1.5059214e+00 1.26e+02 3.01e+14 -1.0 3.56e-03 16.9 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 330 1.5059215e+00 2.89e+01 1.48e+14 -1.0 5.11e-03 16.5 1.00e+00 1.00e+00h 1\n", + " 331 1.5059216e+00 4.51e+00 3.65e+13 -1.0 3.70e-03 16.0 1.00e+00 1.00e+00h 1\n", + " 332 1.5059220e+00 4.36e+00 3.58e+12 -1.0 1.11e-03 15.5 1.00e+00 1.00e+00h 1\n", + " 333 1.5059234e+00 4.07e+00 2.02e+12 -1.0 1.89e-03 15.0 1.00e+00 1.00e+00h 1\n", + " 334 1.5059280e+00 3.52e+01 4.07e+12 -1.0 1.22e-02 14.6 1.00e+00 1.00e+00h 1\n", + " 335 1.5059280e+00 3.52e+01 4.07e+12 -1.0 1.15e-01 14.1 1.64e-02 1.11e-04H 1\n", + " 336 1.5059335e+00 1.60e+01 1.85e+12 -1.0 7.56e-03 14.5 7.58e-01 1.00e+00h 1\n", + " 337 1.5059514e+00 6.37e+01 1.05e+13 -1.0 1.81e-02 14.0 8.08e-01 1.00e+00h 1\n", + " 338 1.5059532e+00 4.91e+01 8.76e+12 -1.0 1.08e-02 14.4 1.00e+00 2.50e-01h 3\n", + " 339 1.5059535e+00 4.36e+01 8.40e+12 -1.0 7.87e-03 14.9 1.00e+00 1.25e-01h 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 340 1.5059538e+00 4.23e+01 8.21e+12 -1.0 9.96e-03 14.4 1.00e+00 3.12e-02h 6\n", + " 341 1.5059538e+00 4.21e+01 8.20e+12 -1.0 7.63e-03 14.8 1.00e+00 3.91e-03h 9\n", + " 342 1.5059538e+00 4.21e+01 8.20e+12 -1.0 1.15e-02 14.3 1.00e+00 9.77e-04h 11\n", + " 343 1.5059573e+00 1.40e+01 4.78e+12 -1.0 7.76e-03 14.8 1.00e+00 1.00e+00h 1\n", + " 344 1.5059685e+00 3.52e+00 2.13e+12 -1.0 7.05e-03 14.3 1.00e+00 1.00e+00h 1\n", + " 345 1.5060038e+00 3.17e+00 7.80e+11 -1.0 6.99e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 346 1.5060184e+00 2.89e+00 4.10e+11 -1.0 2.11e-03 14.2 1.00e+00 1.00e+00H 1\n", + " 347 1.5060666e+00 2.34e+00 3.31e+11 -1.0 5.66e-03 13.8 1.00e+00 1.00e+00H 1\n", + " 348 1.5062221e+00 2.11e+00 3.31e+11 -1.0 1.70e-02 13.3 1.00e+00 1.00e+00H 1\n", + " 349 1.5062824e+00 2.11e+00 3.31e+11 -1.0 6.37e-03 13.7 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 350 1.5064686e+00 4.51e+00 3.55e+12 -1.0 1.91e-02 13.2 6.33e-01 1.00e+00h 1\n", + " 351 1.5064697e+00 4.21e+00 4.73e+12 -1.0 1.56e-03 15.5 1.00e+00 1.00e+00h 1\n", + " 352 1.5064706e+00 5.35e+00 1.24e+13 -1.0 2.67e-02 15.0 5.26e-01 2.50e-01h 3\n", + " 353 1.5064719e+00 9.14e+00 3.23e+12 -1.0 8.99e-03 15.4 1.00e+00 1.00e+00H 1\n", + " 354 1.5064762e+00 1.05e+01 1.68e+12 -1.0 1.91e-03 14.9 1.00e+00 1.00e+00h 1\n", + " 355 1.5064891e+00 5.16e+00 1.00e+12 -1.0 3.22e-03 14.5 1.00e+00 1.00e+00h 1\n", + " 356 1.5065307e+00 1.23e+00 4.59e+11 -1.0 5.17e-03 14.0 1.00e+00 1.00e+00H 1\n", + " 357 1.5066580e+00 1.80e+00 3.31e+11 -1.0 1.02e-02 13.5 1.00e+00 1.00e+00h 1\n", + " 358 1.5070451e+00 5.86e+00 4.43e+11 -1.0 3.06e-02 13.0 1.00e+00 1.00e+00h 1\n", + " 359 1.5082043e+00 2.80e+00 3.31e+11 -1.0 9.18e-02 12.6 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 360 1.5082585e+00 3.01e+00 3.31e+11 -1.0 4.30e-03 13.9 1.00e+00 1.00e+00h 1\n", + " 361 1.5084204e+00 2.07e+00 3.31e+11 -1.0 1.29e-02 13.4 1.00e+00 1.00e+00h 1\n", + " 362 1.5084808e+00 4.91e+00 7.74e+11 -1.0 9.01e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 363 1.5086605e+00 3.68e+00 3.45e+11 -1.0 1.45e-02 13.4 1.00e+00 1.00e+00h 1\n", + " 364 1.5087273e+00 2.80e+00 6.19e+11 -1.0 6.48e-03 13.8 1.00e+00 1.00e+00h 1\n", + " 365 1.5087521e+00 5.48e+00 7.97e+11 -1.0 6.02e-03 14.2 1.00e+00 1.00e+00h 1\n", + " 366 1.5087613e+00 4.68e+00 5.92e+11 -1.0 1.32e-03 14.6 1.00e+00 1.00e+00h 1\n", + " 367 1.5087887e+00 1.30e+01 1.99e+12 -1.0 1.23e-02 14.2 1.00e+00 1.00e+00h 1\n", + " 368 1.5088698e+00 5.52e+00 4.49e+11 -1.0 6.89e-03 13.7 1.00e+00 1.00e+00h 1\n", + " 369 1.5091096e+00 2.22e+00 3.66e+11 -1.0 2.07e-02 13.2 3.54e-01 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 370 1.5091206e+00 2.01e+00 6.33e+11 -1.0 1.71e-03 14.5 1.00e+00 1.00e+00h 1\n", + " 371 1.5091247e+00 2.00e+00 8.40e+11 -1.0 9.00e-04 15.0 1.00e+00 1.00e+00h 1\n", + " 372 1.5091368e+00 2.34e+00 3.50e+12 -1.0 7.94e-03 14.5 1.00e+00 1.00e+00h 1\n", + " 373 1.5091412e+00 1.38e+01 5.57e+12 -1.0 7.44e-03 14.9 1.00e+00 1.00e+00h 1\n", + " 374 1.5091543e+00 3.70e+01 1.69e+13 -1.0 2.26e-02 14.4 4.50e-01 1.00e+00h 1\n", + " 375 1.5091591e+00 2.23e+01 2.19e+12 -1.0 3.79e-03 14.9 1.00e+00 1.00e+00h 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 376 1.5091609e+00 1.47e+01 3.39e+12 -1.0 2.65e-03 15.3 1.00e+00 1.00e+00h 1\n", + " 377 1.5091661e+00 5.95e+00 3.22e+12 -1.0 4.62e-03 14.8 1.00e+00 1.00e+00h 1\n", + " 378 1.5091680e+00 3.84e+00 4.20e+12 -1.0 2.44e-03 15.2 1.00e+00 1.00e+00h 1\n", + " 379 1.5091685e+00 3.54e+00 2.69e+12 -1.0 2.96e-02 14.8 1.00e+00 8.79e-02H 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 380 1.5091854e+00 2.08e+00 1.27e+12 -1.0 4.73e-03 14.3 1.00e+00 1.00e+00h 1\n", + " 381 1.5092351e+00 2.08e+00 5.09e+11 -1.0 5.22e-03 13.8 3.71e-01 1.00e+00h 1\n", + " 382 1.5093803e+00 1.91e+00 1.69e+12 -1.0 1.57e-02 13.3 1.00e+00 1.00e+00h 1\n", + " 383 1.5093869e+00 1.34e+01 1.07e+13 -1.0 1.34e-02 14.7 5.55e-01 1.00e+00h 1\n", + " 384 1.5093893e+00 4.22e+01 7.29e+11 -1.0 7.79e-03 15.1 1.00e+00 1.00e+00h 1\n", + " 385 1.5093929e+00 2.59e+01 1.44e+12 -1.0 7.28e-03 14.6 1.00e+00 5.00e-01h 2\n", + " 386 1.5094137e+00 8.20e+00 9.00e+11 -1.0 6.67e-03 14.1 1.00e+00 1.00e+00h 1\n", + " 387 1.5094744e+00 1.93e+00 3.90e+11 -1.0 7.42e-03 13.6 1.00e+00 1.00e+00h 1\n", + " 388 1.5096493e+00 1.85e+00 3.29e+11 -1.0 2.23e-02 13.2 1.00e+00 1.00e+00h 1\n", + " 389 1.5097121e+00 1.71e+00 3.29e+11 -1.0 8.35e-03 13.6 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 390 1.5098912e+00 7.34e+01 3.43e+12 -1.0 2.84e-02 13.1 3.61e-01 1.00e+00h 1\n", + " 391 1.5098991e+00 2.35e+01 2.26e+12 -1.0 9.23e-03 14.4 1.00e+00 1.00e+00h 1\n", + " 392 1.5099216e+00 6.75e+00 1.03e+12 -1.0 7.72e-03 14.0 1.00e+00 1.00e+00h 1\n", + " 393 1.5099845e+00 1.44e+00 3.88e+11 -1.0 1.06e-02 13.5 1.00e+00 1.00e+00h 1\n", + " 394 1.5101583e+00 1.44e+00 3.29e+11 -1.0 3.16e-02 13.0 1.00e+00 1.00e+00h 1\n", + " 395 1.5102175e+00 1.44e+00 3.28e+11 -1.0 1.19e-02 13.4 1.00e+00 1.00e+00h 1\n", + " 396 1.5103743e+00 1.44e+00 3.28e+11 -1.0 3.56e-02 13.0 1.00e+00 1.00e+00h 1\n", + " 397 1.5104251e+00 1.44e+00 3.28e+11 -1.0 1.33e-02 13.4 1.00e+00 1.00e+00h 1\n", + " 398 1.5105496e+00 1.85e+00 3.28e+11 -1.0 4.00e-02 12.9 1.00e+00 1.00e+00h 1\n", + " 399 1.5108100e+00 3.74e+00 3.28e+11 -1.0 1.20e-01 12.4 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 400 1.5108612e+00 3.33e+00 3.28e+11 -1.0 4.49e-02 12.9 1.00e+00 1.00e+00h 1\n", + " 401 1.5108623e+00 1.35e+00 3.27e+11 -1.0 1.68e-02 13.3 1.00e+00 1.00e+00h 1\n", + " 402 1.5108558e+00 1.34e+00 3.27e+11 -1.0 6.31e-03 13.7 1.00e+00 1.00e+00h 1\n", + " 403 1.5108151e+00 1.32e+00 3.27e+11 -1.0 1.89e-02 13.2 1.00e+00 1.00e+00h 1\n", + " 404 1.5107918e+00 1.30e+00 3.27e+11 -1.0 7.09e-03 13.7 1.00e+00 1.00e+00h 1\n", + " 405 1.5106717e+00 1.94e+00 3.26e+11 -1.0 3.17e-02 13.2 1.00e+00 1.00e+00H 1\n", + " 406 1.5102272e+00 1.68e+00 3.26e+11 -1.0 6.36e-02 12.7 1.00e+00 1.00e+00h 1\n", + " 407 1.5100278e+00 7.26e+00 4.06e+11 -1.0 2.38e-02 13.1 8.03e-01 1.00e+00h 1\n", + " 408 1.5093203e+00 2.39e+00 3.25e+11 -1.0 7.15e-02 12.7 1.00e+00 1.00e+00h 1\n", + " 409 1.5090127e+00 1.15e+00 3.25e+11 -1.0 2.68e-02 13.1 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 410 1.5079489e+00 5.27e+00 3.25e+11 -1.0 8.03e-02 12.6 1.00e+00 1.00e+00h 1\n", + " 411 1.5074954e+00 6.48e+00 3.25e+11 -1.0 3.01e-02 13.0 1.00e+00 1.00e+00h 1\n", + " 412 1.5059532e+00 7.45e+00 3.24e+11 -1.0 9.01e-02 12.6 1.00e+00 1.00e+00h 1\n", + " 413 1.5058147e+00 7.28e+00 3.24e+11 -1.0 3.37e-02 13.0 1.00e+00 2.14e-01h 2\n", + " 414 1.5057344e+00 7.19e+00 3.24e+11 -1.0 1.01e-01 12.5 1.00e+00 3.99e-02h 2\n", + " 415 1.5056849e+00 7.12e+00 3.24e+11 -1.0 3.80e-02 12.9 1.00e+00 6.59e-02h 2\n", + " 416 1.5056257e+00 7.05e+00 3.24e+11 -1.0 1.14e-01 12.5 1.00e+00 2.58e-02h 2\n", + " 417 1.5056112e+00 7.03e+00 3.24e+11 -1.0 4.27e-02 12.9 1.00e+00 1.70e-02h 3\n", + " 418 1.5054746e+00 6.89e+00 3.24e+11 -1.0 1.28e-01 12.4 1.00e+00 5.26e-02h 1\n", + " 419 1.5049151e+00 6.14e+00 3.24e+11 -1.0 4.80e-02 12.8 1.00e+00 5.76e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 420 1.5045290e+00 5.48e+00 3.23e+11 -1.0 1.80e-02 13.3 2.48e-01 1.00e+00h 1\n", + " 421 1.5037574e+00 4.12e+00 3.23e+11 -1.0 7.86e-02 12.8 6.90e-01 5.75e-01H 1\n", + " 422 1.5037440e+00 4.11e+00 3.23e+11 -1.0 1.62e-01 12.3 1.00e+00 3.18e-03h 2\n", + " 423r 1.5037440e+00 4.11e+00 1.00e+03 0.6 0.00e+00 11.8 0.00e+00 4.98e-07R 12\n", + " 424r 1.2932805e+00 1.58e+00 9.93e+02 0.6 4.11e+03 - 8.56e-03 9.90e-04f 1\n", + " 425 1.3839102e+00 1.53e+00 3.87e+03 -1.0 2.42e+00 - 2.00e-01 2.81e-02h 1\n", + " 426 1.3364301e+00 1.35e+00 5.03e+03 -1.0 1.52e+00 - 6.91e-02 1.16e-01H 1\n", + " 427 1.3094652e+00 1.27e+00 4.99e+03 -1.0 1.54e+00 - 4.24e-02 6.04e-02h 4\n", + " 428 1.3093244e+00 1.28e+00 4.31e+03 -1.0 7.95e+00 - 7.02e-02 1.47e-03H 1\n", + " 429 1.2761805e+00 1.17e+00 4.13e+03 -1.0 3.32e+00 - 1.79e-02 6.09e-02h 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 430 1.2171455e+00 1.08e+00 3.93e+03 -1.0 1.08e+01 - 9.51e-03 5.53e-02h 4\n", + " 431 1.2153398e+00 5.73e+00 4.54e+10 -1.0 4.37e-03 11.3 9.90e-01 1.00e+00h 1\n", + " 432 1.2139853e+00 1.46e+00 1.05e+10 -1.0 1.96e-03 11.8 1.00e+00 1.00e+00h 1\n", + " 433 1.2078969e+00 1.51e+00 1.62e+09 -1.0 7.38e-03 11.3 1.00e+00 1.00e+00h 1\n", + " 434 1.2048573e+00 6.48e-01 2.72e+09 -1.0 4.78e-03 11.7 1.00e+00 1.00e+00h 1\n", + " 435 1.2034342e+00 6.48e-01 3.39e+09 -1.0 2.39e-03 12.1 1.00e+00 1.00e+00h 1\n", + " 436 1.1983148e+00 7.66e+00 8.11e+09 -1.0 1.49e-02 11.7 1.00e+00 1.00e+00h 1\n", + " 437 1.1804038e+00 2.92e+00 2.76e+09 -1.0 5.63e-03 11.2 1.00e+00 1.00e+00h 1\n", + " 438 1.1189245e+00 1.62e+00 2.68e+09 -1.0 2.44e-02 10.7 1.00e+00 1.00e+00h 1\n", + " 439 1.0644265e+00 1.27e+00 2.17e+09 -1.0 5.87e-02 10.2 1.00e+00 2.50e-01h 3\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 440 6.9051371e-01 1.59e+00 1.63e+09 -1.0 2.14e-01 9.8 1.00e+00 5.00e-01f 2\n", + " 441 -2.3965095e+00 7.89e+00 2.21e+09 -1.0 2.28e+00 9.3 2.96e-01 1.00e+00f 1\n", + " 442 -2.3419139e+00 7.42e+00 1.98e+09 -1.0 1.20e+00 8.8 5.95e-01 8.13e-02h 1\n", + " 443 -2.3416039e+00 7.42e+00 1.98e+09 -1.0 2.41e+00 8.3 4.04e-04 4.04e-04s 11\n", + " 444r-2.3416039e+00 7.42e+00 9.99e+02 0.9 0.00e+00 8.8 0.00e+00 0.00e+00R 1\n", + " 445r-1.1131506e+00 1.74e+00 9.89e+02 0.9 6.05e+03 - 1.26e-02 1.22e-03f 1\n", + " 446 -7.4811265e-01 1.50e+00 2.14e+03 -1.0 4.08e+00 - 3.50e-03 1.52e-01h 2\n", + " 447 -6.9891025e-01 1.42e+00 6.35e+02 -1.0 1.78e+01 - 4.33e-02 5.37e-02h 3\n", + " 448 -6.8324002e-01 1.40e+00 5.90e+02 -1.0 7.27e+00 - 1.65e-01 1.60e-02f 4\n", + " 449 -6.5312793e-01 1.35e+00 5.36e+02 -1.0 3.15e+00 - 5.07e-01 3.56e-02h 4\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 450 -6.3080687e-01 1.31e+00 5.15e+02 -1.0 1.76e+00 - 3.78e-01 2.87e-02f 5\n", + " 451 -1.6348423e-01 2.60e+02 5.07e+04 -1.0 2.43e+00 - 4.49e-01 5.28e-01f 1\n", + " 452 3.8237978e-01 8.18e+01 1.23e+09 -1.0 2.35e-01 8.3 9.91e-01 1.00e+00h 1\n", + " 453 6.7871725e-01 1.66e+02 1.23e+09 -1.0 5.19e-01 7.8 4.22e-01 1.00e+00h 1\n", + " 454 6.4444802e-01 5.17e+01 7.17e+08 -1.0 8.69e-02 8.2 1.00e+00 1.00e+00h 1\n", + " 455 5.6227177e-01 6.41e+00 3.22e+08 -1.0 1.34e-01 7.8 1.00e+00 1.00e+00h 1\n", + " 456 5.5397169e-01 1.54e+00 3.34e+07 -1.0 3.73e-02 7.3 1.00e+00 1.00e+00h 1\n", + " 457 5.5996367e-01 1.75e-01 1.95e+06 -1.0 8.35e-03 7.7 1.00e+00 1.00e+00h 1\n", + " 458 5.5554762e-01 2.85e-02 2.95e+05 -1.0 1.67e-02 7.2 1.00e+00 1.00e+00h 1\n", + " 459 5.3400995e-01 4.86e-02 2.93e+05 -1.0 3.85e-02 6.7 1.00e+00 1.00e+00H 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 460 4.7565375e-01 9.29e-02 1.35e+06 -1.0 1.25e-01 6.3 1.00e+00 1.00e+00H 1\n", + " 461 4.0589421e-01 3.65e-01 1.06e+06 -1.0 2.91e-01 5.8 1.00e+00 1.00e+00H 1\n", + " 462 4.0455986e-01 3.59e-01 1.05e+06 -1.0 2.12e+00 5.3 9.07e-01 1.56e-02h 7\n", + " 463 3.8692238e-01 1.30e-01 7.52e+05 -1.0 1.77e-01 5.7 1.00e+00 1.00e+00H 1\n", + " 464 3.8790228e-01 1.27e-01 5.96e+06 -1.0 5.00e-02 7.1 1.00e+00 1.00e+00H 1\n", + " 465 3.8790354e-01 1.34e-01 5.30e+06 -1.0 1.34e-03 9.3 1.00e+00 1.25e-01h 4\n", + " 466 3.8790753e-01 1.19e-01 1.40e+06 -1.0 2.92e-04 9.7 1.00e+00 1.00e+00h 1\n", + " 467 3.8790908e-01 1.27e-01 1.48e+06 -1.0 1.16e-03 9.2 1.00e+00 1.25e-01h 4\n", + " 468 3.8790937e-01 1.28e-01 1.49e+06 -1.0 3.24e-03 8.8 1.00e+00 1.56e-02h 7\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 418 1.0561879e+01 3.51e+00 9.35e+02 -1.0 5.26e+00 - 3.40e-01 2.00e-01H 1\n", - " 419 1.0561855e+01 3.18e+00 1.36e+11 -1.0 1.69e-03 14.0 9.90e-01 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 420 1.0561712e+01 2.41e+00 1.72e+11 -1.0 4.95e-03 13.6 1.00e+00 1.00e+00h 1\n", - " 421 1.0561631e+01 2.35e+00 2.39e+11 -1.0 2.46e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 422 1.0561308e+01 1.83e+01 8.93e+11 -1.0 1.81e-02 13.5 1.00e+00 1.00e+00h 1\n", - " 423 1.0561156e+01 1.62e+01 7.77e+11 -1.0 6.20e-02 13.0 4.92e-01 1.25e-01h 4\n", - " 424 1.0560225e+01 1.28e+01 5.94e+11 -1.0 8.85e-03 12.6 1.00e+00 2.50e-01h 3\n", - " 425 1.0558761e+01 4.37e+00 1.46e+11 -1.0 7.64e-03 13.0 1.00e+00 1.00e+00h 1\n", - " 426 1.0553562e+01 2.19e+00 2.93e+10 -1.0 4.53e-03 12.5 1.00e+00 1.00e+00h 1\n", - " 427 1.0535651e+01 2.19e+00 1.45e+10 -1.0 1.60e-02 12.0 1.00e+00 1.00e+00h 1\n", - " 428 1.0472177e+01 2.18e+00 7.59e+10 -1.0 3.77e-02 11.5 1.00e+00 1.00e+00H 1\n", - " 429 1.0446402e+01 2.17e+00 2.07e+10 -1.0 6.33e-03 12.0 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 430 1.0364240e+01 2.15e+00 7.52e+09 -1.0 2.34e-02 11.5 1.00e+00 1.00e+00h 1\n", - " 431 1.0122427e+01 4.72e+00 5.51e+12 -1.0 2.70e-01 11.0 6.03e-01 1.00e+00h 1\n", - " 432 1.0122405e+01 1.67e+01 6.31e+12 -1.0 6.84e-03 15.1 1.00e+00 1.00e+00h 1\n", - " 433 1.0122333e+01 1.39e+01 2.65e+11 -1.0 1.18e-03 14.6 1.00e+00 1.00e+00h 1\n", - " 434 1.0122101e+01 5.08e+00 3.02e+11 -1.0 5.35e-03 14.1 1.00e+00 1.00e+00h 1\n", - " 435 1.0121361e+01 1.38e+00 1.69e+11 -1.0 4.04e-03 13.6 1.00e+00 1.00e+00h 1\n", - " 436 1.0118873e+01 1.88e+00 5.56e+10 -1.0 1.02e-02 13.1 1.00e+00 1.00e+00H 1\n", - " 437 1.0111036e+01 1.83e+00 2.15e+10 -1.0 2.57e-03 12.7 1.00e+00 1.00e+00h 1\n", - " 438 1.0107956e+01 1.69e+00 3.05e+10 -1.0 1.98e-03 13.1 1.00e+00 1.00e+00h 1\n", - " 439 1.0106746e+01 1.50e+00 7.35e+10 -1.0 1.94e-03 13.5 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 440 1.0106627e+01 1.10e+00 2.93e+11 -1.0 3.27e-01 13.0 7.37e-02 3.12e-02h 6\n", - " 441 1.0105076e+01 1.51e+00 4.08e+10 -1.0 1.06e-02 13.5 1.00e+00 1.00e+00H 1\n", - " 442 1.0104471e+01 1.48e+00 5.87e+10 -1.0 1.84e-02 13.0 1.00e+00 1.25e-01h 4\n", - " 443 1.0102578e+01 1.27e+00 5.40e+10 -1.0 1.18e-03 13.4 1.00e+00 1.00e+00H 1\n", - " 444 1.0101107e+01 6.31e-01 1.49e+11 -1.0 2.69e-02 12.9 9.35e-01 2.50e-01h 3\n", - " 445 1.0098723e+01 5.21e-01 3.72e+10 -1.0 7.79e-03 13.4 1.00e+00 1.00e+00H 1\n", - " 446 1.0091357e+01 2.64e+00 8.26e+10 -1.0 6.05e-03 12.9 1.00e+00 1.00e+00h 1\n", - " 447 1.0068769e+01 4.76e-01 3.14e+10 -1.0 6.47e-03 12.4 1.00e+00 1.00e+00h 1\n", - " 448 1.0000939e+01 1.49e+00 1.96e+10 -1.0 1.86e-02 11.9 1.00e+00 1.00e+00h 1\n", - " 449 9.9754339e+00 1.88e+00 3.44e+10 -1.0 1.31e-02 12.4 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 450 9.8993251e+00 1.06e+01 9.28e+10 -1.0 3.93e-02 11.9 1.00e+00 1.00e+00h 1\n", - " 451 9.8957354e+00 4.47e+00 6.81e+10 -1.0 9.94e-03 13.2 1.00e+00 1.00e+00h 1\n", - " 452 9.8847293e+00 2.59e+00 8.43e+10 -1.0 1.57e-02 12.7 1.00e+00 1.00e+00h 1\n", - " 453 9.8805122e+00 3.11e+00 2.34e+11 -1.0 1.06e-02 13.2 1.00e+00 1.00e+00h 1\n", - " 454 9.8788930e+00 2.81e+00 1.11e+11 -1.0 2.76e-03 13.6 1.00e+00 1.00e+00h 1\n", - " 455 9.8782711e+00 1.89e+00 1.50e+11 -1.0 1.45e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 456 9.8763615e+00 1.32e+00 4.49e+11 -1.0 8.95e-03 13.5 1.00e+00 1.00e+00h 1\n", - " 457 9.8756289e+00 7.36e+00 9.20e+11 -1.0 9.94e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 458 9.8733825e+00 6.21e+00 5.44e+10 -1.0 1.43e-03 13.5 1.00e+00 1.00e+00h 1\n", - " 459 9.8665113e+00 1.94e+00 3.32e+10 -1.0 5.52e-03 13.0 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 460 9.8651976e+00 1.34e+00 3.35e+10 -1.0 2.09e-03 13.4 1.00e+00 5.00e-01h 2\n", - " 461 9.8572543e+00 1.33e+00 3.08e+10 -1.0 7.53e-03 13.0 1.00e+00 1.00e+00h 1\n", - " 462 9.8542214e+00 1.10e+00 4.16e+10 -1.0 1.46e-03 13.4 1.00e+00 1.00e+00h 1\n", - " 463 9.8449702e+00 5.81e+00 2.67e+11 -1.0 1.39e-02 12.9 1.00e+00 1.00e+00h 1\n", - " 464 9.8414430e+00 2.57e+00 4.41e+10 -1.0 4.48e-03 13.3 1.00e+00 1.00e+00h 1\n", - " 465 9.8400956e+00 1.35e+00 1.31e+11 -1.0 2.45e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 466 9.8359814e+00 8.87e-01 7.70e+10 -1.0 6.30e-03 13.3 1.00e+00 1.00e+00h 1\n", - " 467 9.8343817e+00 7.56e-01 5.20e+10 -1.0 8.97e-04 13.7 1.00e+00 1.00e+00H 1\n", - " 468 9.8337710e+00 6.56e-01 6.10e+10 -1.0 4.44e-04 14.1 1.00e+00 1.00e+00h 1\n", - " 469 9.8319072e+00 5.06e-01 1.15e+11 -1.0 2.01e-03 13.7 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 470 9.8311963e+00 6.64e-01 1.48e+11 -1.0 1.19e-03 14.1 1.00e+00 1.00e+00h 1\n", - " 471 9.8290281e+00 5.52e+00 9.48e+10 -1.0 9.44e-03 13.6 1.00e+00 1.00e+00h 1\n", - " 472 9.8282017e+00 3.32e+00 2.23e+11 -1.0 2.91e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 473 9.8256833e+00 1.12e+00 2.05e+11 -1.0 4.67e-03 13.6 1.00e+00 1.00e+00h 1\n", - " 474 9.8251865e+00 1.05e+00 2.15e+11 -1.0 5.90e-02 13.1 1.00e+00 6.48e-02h 4\n", - " 475 9.8244667e+00 9.92e-01 2.21e+11 -1.0 7.66e-03 13.5 1.00e+00 2.50e-01h 3\n", - " 476 9.8244328e+00 9.87e-01 2.20e+11 -1.0 2.48e-03 13.9 1.00e+00 3.12e-02h 6\n", - " 477 9.8211292e+00 9.42e-01 1.07e+11 -1.0 6.63e-03 13.5 1.00e+00 1.00e+00H 1\n", - " 478 9.8198722e+00 1.03e+00 1.14e+11 -1.0 1.76e-03 13.9 1.00e+00 1.00e+00h 1\n", - " 479 9.8193936e+00 1.04e+00 9.52e+10 -1.0 4.74e-04 14.3 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 480 9.8179364e+00 9.79e-01 7.03e+10 -1.0 1.16e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 481 9.8173819e+00 9.21e-01 7.14e+10 -1.0 3.92e-04 14.3 1.00e+00 1.00e+00h 1\n", - " 482 9.8156946e+00 6.72e-01 1.29e+11 -1.0 2.04e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 483 9.8150529e+00 7.09e-01 1.38e+11 -1.0 8.95e-04 14.2 1.00e+00 1.00e+00h 1\n", - " 484 9.8131013e+00 1.18e+00 2.06e+11 -1.0 3.48e-03 13.7 1.00e+00 1.00e+00h 1\n", - " 485 9.8123489e+00 1.19e+00 9.48e+10 -1.0 1.42e-03 14.2 1.00e+00 1.00e+00H 1\n", - " 486 9.8100626e+00 1.39e+00 1.42e+11 -1.0 2.54e-03 13.7 1.00e+00 1.00e+00h 1\n", - " 487 9.8091941e+00 1.16e+00 1.37e+11 -1.0 1.09e-03 14.1 1.00e+00 1.00e+00h 1\n", - " 488 9.8065210e+00 1.98e+00 1.54e+11 -1.0 5.66e-03 13.6 1.00e+00 1.00e+00H 1\n", - " 489 9.8060136e+00 1.99e+00 2.15e+11 -1.0 2.23e-03 14.0 1.00e+00 5.00e-01h 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 490 9.8059179e+00 1.99e+00 2.28e+11 -1.0 8.83e-04 14.5 1.00e+00 2.50e-01h 3\n", - " 491 9.8047210e+00 1.99e+00 8.31e+10 -1.0 5.56e-03 14.0 1.00e+00 1.00e+00H 1\n", - " 492 9.8042668e+00 1.99e+00 7.77e+10 -1.0 2.93e-04 14.4 1.00e+00 1.00e+00h 1\n", - " 493 9.8028882e+00 1.98e+00 6.99e+10 -1.0 7.89e-04 13.9 1.00e+00 1.00e+00h 1\n", - " 494 9.8023652e+00 1.97e+00 6.24e+10 -1.0 2.64e-04 14.4 1.00e+00 1.00e+00h 1\n", - " 495 9.8007785e+00 1.94e+00 1.06e+11 -1.0 1.45e-03 13.9 1.00e+00 1.00e+00h 1\n", - " 496 9.8004778e+00 3.88e+00 2.65e+12 -1.0 3.76e-01 13.4 3.26e-02 6.25e-02h 5\n", - " 497 9.8002467e+00 4.78e+00 4.29e+11 -1.0 5.59e-03 14.7 1.00e+00 1.00e+00H 1\n", - " 498 9.7995458e+00 4.25e+00 9.97e+10 -1.0 7.11e-04 14.3 1.00e+00 1.00e+00h 1\n", - " 499 9.7974212e+00 1.87e+00 2.16e+11 -1.0 3.91e-03 13.8 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 500 9.7966162e+00 1.06e+00 2.86e+11 -1.0 1.78e-03 14.2 1.00e+00 1.00e+00h 1\n", - " 501 9.7941773e+00 4.31e-01 1.96e+11 -1.0 4.03e-03 13.7 1.00e+00 1.00e+00h 1\n", - " 502 9.7932536e+00 5.09e-01 1.52e+11 -1.0 1.01e-03 14.2 1.00e+00 1.00e+00s 22\n", - " 503 9.7904560e+00 8.67e-01 9.31e+10 -1.0 1.70e-03 13.7 1.00e+00 1.00e+00s 22\n", - " 504r 9.7904560e+00 8.67e-01 9.99e+02 -0.1 0.00e+00 13.2 0.00e+00 0.00e+00R 1\n", - " 505r 9.7774197e+00 3.96e-01 9.90e+02 -0.1 8.67e+02 - 8.92e-03 9.91e-04f 1\n", - " 506 1.6692440e+01 8.93e+00 1.88e+05 -1.0 3.77e+02 - 8.75e-03 1.90e-02f 1\n", - " 507 1.6797014e+01 8.92e+00 7.04e+09 -1.0 1.29e-03 12.7 1.00e+00 1.00e+00h 1\n", - " 508 1.7568042e+01 8.85e+00 1.40e+10 -1.0 7.70e-03 12.3 1.00e+00 1.00e+00h 1\n", - " 509 1.8942073e+01 8.78e+00 1.55e+10 -1.0 3.38e-02 11.8 1.00e+00 2.40e-01h 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 510 2.0312694e+01 8.74e+00 1.57e+10 -1.0 1.04e-01 11.3 1.00e+00 3.89e-02h 2\n" + " 469 3.8790937e-01 1.29e-01 1.49e+06 -1.0 9.88e-03 8.3 1.00e+00 3.91e-03h 9\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 470 3.8790915e-01 1.31e-01 1.49e+06 -1.0 2.55e-02 7.8 1.00e+00 1.95e-03h 10\n", + " 471 3.8790907e-01 1.32e-01 1.48e+06 -1.0 1.24e-02 8.2 1.00e+00 3.91e-03h 9\n", + " 472 3.8790870e-01 1.34e-01 1.48e+06 -1.0 2.95e-02 7.8 1.00e+00 1.95e-03h 10\n", + " 473 3.8790852e-01 1.35e-01 1.48e+06 -1.0 1.46e-02 8.2 1.00e+00 3.91e-03h 9\n", + " 474 3.8790799e-01 1.36e-01 1.48e+06 -1.0 3.16e-02 7.7 1.00e+00 1.95e-03h 10\n", + " 475 3.8790785e-01 1.37e-01 1.48e+06 -1.0 1.87e-01 7.2 1.00e+00 1.22e-04h 14\n", + " 476 3.8790717e-01 1.38e-01 1.48e+06 -1.0 3.36e-02 7.7 1.00e+00 1.95e-03h 10\n", + " 477 3.8780413e-01 9.80e+01 2.72e+07 -1.0 1.75e-02 8.1 1.00e+00 1.00e+00w 1\n", + " 478 3.8748847e-01 2.52e+01 8.19e+06 -1.0 2.25e-02 7.6 1.00e+00 1.00e+00w 1\n", + " 479 3.8711181e-01 9.74e+00 9.97e+06 -1.0 4.53e-02 7.1 1.00e+00 1.00e+00w 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 480 3.8790676e-01 1.39e-01 1.48e+06 -1.0 5.00e-02 6.7 1.00e+00 3.91e-03h 8\n", + " 481 3.8790615e-01 1.40e-01 1.47e+06 -1.0 1.98e-02 8.0 1.00e+00 3.91e-03h 9\n", + " 482 3.8790490e-01 1.41e-01 1.47e+06 -1.0 3.26e-02 7.5 1.00e+00 1.95e-03h 10\n", + " 483 3.8790371e-01 1.42e-01 1.47e+06 -1.0 6.35e-02 7.0 1.00e+00 4.88e-04h 12\n", + " 484 3.8790220e-01 1.43e-01 1.47e+06 -1.0 3.16e-02 7.5 1.00e+00 1.95e-03h 10\n", + " 485 3.8789965e-01 1.44e-01 1.47e+06 -1.0 6.00e-02 7.0 1.00e+00 9.77e-04h 11\n", + " 486 3.8789784e-01 1.44e-01 1.46e+06 -1.0 2.95e-02 7.4 1.00e+00 1.95e-03h 10\n", + " 487 3.8789644e-01 1.44e-01 1.46e+06 -1.0 6.51e-02 6.9 1.00e+00 4.88e-04h 12\n", + " 488 3.8789219e-01 1.46e-01 1.46e+06 -1.0 3.02e-02 7.4 1.00e+00 3.91e-03h 9\n", + " 489 3.8788549e-01 1.47e-01 1.46e+06 -1.0 7.04e-02 6.9 1.00e+00 1.95e-03h 10\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 490 3.8656449e-01 9.83e+01 4.86e+07 -1.0 3.33e-02 7.3 1.00e+00 1.00e+00w 1\n", + " 491 3.8455229e-01 2.54e+01 1.42e+07 -1.0 4.88e-02 6.8 1.00e+00 1.00e+00w 1\n", + " 492 3.8288876e-01 1.14e+01 5.77e+06 -1.0 6.56e-02 6.4 1.00e+00 1.00e+00w 1\n", + " 493 3.8788032e-01 1.48e-01 1.45e+06 -1.0 2.30e-02 6.8 1.00e+00 3.91e-03h 8\n", + " 494 3.8787352e-01 1.48e-01 1.45e+06 -1.0 4.04e-02 7.2 1.00e+00 3.91e-03h 9\n", + " 495 3.8785279e-01 1.49e-01 1.44e+06 -1.0 8.76e-02 6.7 1.00e+00 3.91e-03h 9\n", + " 496 3.8783666e-01 1.50e-01 1.43e+06 -1.0 4.41e-02 7.2 1.00e+00 7.81e-03h 8\n", + " 497 3.8778699e-01 1.50e-01 1.42e+06 -1.0 9.29e-02 6.7 1.00e+00 7.81e-03h 8\n", + " 498 3.8774873e-01 1.51e-01 1.40e+06 -1.0 4.79e-02 7.1 1.00e+00 1.56e-02h 7\n", + " 499 3.8751521e-01 1.50e-01 1.36e+06 -1.0 9.73e-02 6.6 1.00e+00 3.12e-02h 6\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 500 3.8619348e-01 1.44e-01 1.28e+06 -1.0 1.41e-01 6.1 1.00e+00 6.25e-02h 5\n", + " 501 3.8301707e-01 1.36e-01 1.20e+06 -1.0 1.97e-01 5.7 1.00e+00 6.25e-02h 5\n", + " 502 3.8010840e-01 1.19e-01 1.05e+06 -1.0 9.24e-02 6.1 1.00e+00 1.25e-01h 4\n", + " 503 3.7051616e-01 1.38e-01 7.68e+06 -1.0 5.22e-02 6.5 1.00e+00 1.00e+00w 1\n", + " 504 3.4167209e-01 1.22e+00 8.09e+06 -1.0 1.43e-01 6.0 1.00e+00 1.00e+00w 1\n", + " 505 2.9462555e-01 9.30e-01 1.63e+06 -1.0 2.34e-01 5.6 1.00e+00 1.00e+00w 1\n", + " 506 3.7530683e-01 6.18e-02 1.27e+06 -1.0 7.40e-02 6.0 1.00e+00 5.00e-01h 1\n", + " 507 3.6234580e-01 7.03e-02 4.24e+06 -1.0 4.36e-02 6.4 1.00e+00 1.00e+00h 1\n", + " 508 3.5718027e-01 1.15e-02 1.68e+06 -1.0 3.20e-02 6.8 1.00e+00 1.00e+00h 1\n", + " 509 3.4426750e-01 3.68e-02 1.65e+06 -1.0 5.32e-02 6.4 1.00e+00 1.00e+00H 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 510 3.3492261e-01 3.06e-02 8.78e+05 -1.0 2.02e-01 5.9 1.00e+00 1.00e+00H 1\n", + " 511 3.3468931e-01 2.11e-02 5.97e+05 -1.0 6.23e-02 6.3 1.00e+00 1.00e+00H 1\n", + " 512 3.3469633e-01 2.20e-02 5.79e+05 -1.0 1.92e-02 6.7 1.00e+00 3.12e-02h 6\n", + " 513 3.3471051e-01 2.37e-02 5.62e+05 -1.0 5.62e-02 6.3 1.00e+00 3.12e-02h 6\n", + " 514 3.3471534e-01 2.46e-02 5.45e+05 -1.0 2.14e-02 6.7 1.00e+00 3.12e-02h 6\n", + " 515 3.3471942e-01 2.64e-02 5.28e+05 -1.0 6.25e-02 6.2 1.00e+00 3.12e-02h 6\n", + " 516 3.3472121e-01 2.72e-02 5.12e+05 -1.0 2.38e-02 6.6 1.00e+00 3.12e-02h 6\n", + " 517 3.3471109e-01 2.93e-02 4.96e+05 -1.0 6.96e-02 6.2 1.00e+00 3.12e-02h 6\n", + " 518 3.3470896e-01 2.99e-02 4.81e+05 -1.0 2.65e-02 6.6 1.00e+00 3.12e-02h 6\n", + " 519 3.3468048e-01 3.20e-02 4.65e+05 -1.0 7.75e-02 6.1 1.00e+00 3.12e-02h 6\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 520 3.3467359e-01 3.24e-02 4.51e+05 -1.0 2.94e-02 6.5 1.00e+00 3.12e-02h 6\n", + " 521 3.3464854e-01 3.26e-02 4.44e+05 -1.0 8.62e-02 6.1 1.00e+00 1.56e-02h 7\n", + " 522 3.3429330e-01 1.28e+00 1.01e+05 -1.0 3.27e-02 6.5 1.00e+00 1.00e+00w 1\n", + " 523 3.3290434e-01 6.59e-01 1.17e+05 -1.0 7.95e-02 6.0 1.00e+00 7.75e-01w 1\n", + " 524 3.3280460e-01 6.10e-01 1.08e+05 -1.0 2.87e-02 6.4 1.00e+00 7.47e-02w 1\n", + " 525 3.3463744e-01 3.28e-02 4.30e+05 -1.0 8.33e-02 6.0 1.00e+00 3.12e-02h 5\n", + " 526 3.3462029e-01 3.31e-02 4.17e+05 -1.0 4.10e-02 6.4 1.00e+00 3.12e-02h 6\n", + " 527 3.3407070e-01 8.17e-02 5.42e+05 -1.0 1.55e-02 6.8 1.00e+00 1.00e+00H 1\n", + " 528 3.3199281e-01 4.46e-02 1.01e+05 -1.0 4.31e-02 6.3 1.00e+00 1.00e+00H 1\n", + " 529 3.2871545e-01 4.25e-02 9.64e+04 -1.0 1.33e-01 5.9 1.00e+00 4.56e-01H 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 530 3.2854435e-01 4.00e-02 9.62e+04 -1.0 5.13e-02 6.3 1.00e+00 6.20e-02h 1\n", + " 531 3.2830254e-01 3.92e-02 9.61e+04 -1.0 1.43e-01 5.8 1.00e+00 2.90e-02f 5\n", + " 532 3.2495433e-01 9.48e-03 1.03e+05 -1.0 5.73e-02 6.2 1.00e+00 1.00e+00H 1\n", + " 533 3.2300744e-01 5.54e-03 1.01e+05 -1.0 1.67e-01 5.8 1.00e+00 1.94e-01h 2\n", + " 534 3.1887096e-01 1.13e-02 9.75e+04 -1.0 3.95e-01 5.3 1.41e-01 1.41e-01s 20\n", + " 535 3.1689131e-01 1.33e-02 9.51e+04 -1.0 1.65e-01 5.7 1.75e-01 1.75e-01s 20\n", + " 536 3.0986930e-01 7.38e-02 1.90e+05 -1.0 5.14e-01 5.2 2.15e-01 2.15e-01s 20\n", + " 537 3.0845610e-01 4.56e-02 5.38e+05 -1.0 2.15e-02 6.6 8.81e-01 8.81e-01s 20\n", + " 538 3.0509953e-01 5.79e-02 3.26e+05 -1.0 5.28e-02 6.1 7.04e-01 7.04e-01s 20\n", + " 539 3.0385853e-01 5.29e-02 2.96e+05 -1.0 1.24e-01 5.6 8.92e-02 8.92e-02s 20\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 540 2.9516641e-01 4.29e-02 2.23e+05 -1.0 3.17e-01 5.1 2.14e-01 2.14e-01s 20\n", + " 541 2.8165740e-01 3.81e-02 1.93e+05 -1.0 6.57e-01 4.6 1.20e-01 1.20e-01s 20\n", + " 542 2.7612855e-01 3.74e-02 1.90e+05 -1.0 1.83e+00 4.2 1.93e-02 1.93e-02s 20\n", + " 543 2.7321611e-01 3.65e-02 1.85e+05 -1.0 6.16e-01 4.6 2.39e-02 2.39e-02s 20\n", + " 544 2.6920031e-01 3.60e-02 1.83e+05 -1.0 1.99e+00 4.1 1.30e-02 1.30e-02s 20\n", + " 545r 2.6920031e-01 3.60e-02 1.00e+03 -1.0 0.00e+00 4.5 0.00e+00 0.00e+00R 1\n", + " 546r 2.7107462e-01 9.72e-03 6.46e+02 -1.0 3.20e+01 - 3.84e-01 2.75e-03f 1\n", + " 547r 2.9323539e-01 1.63e+00 3.79e+02 -1.0 1.27e+00 - 4.63e-01 3.84e-01f 1\n", + " 548r 2.7140993e-01 9.67e-01 2.66e+03 -1.0 3.04e-01 0.0 4.34e-01 3.51e-01f 1\n", + " 549r 2.4080878e-01 2.65e-01 1.79e+04 -1.0 1.79e-01 0.4 5.05e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 550r 2.1952409e-01 2.78e-01 1.24e+04 -1.0 2.44e-01 -0.1 4.18e-01 3.56e-01f 1\n", + " 551r 7.8209612e-02 5.57e+01 4.04e+03 -1.0 7.43e-01 - 4.36e-01 1.00e+00f 1\n", + " 552r 7.7731527e-02 1.46e+01 1.26e+03 -1.0 3.02e-01 -0.5 4.83e-01 1.00e+00f 1\n", + " 553r 8.2774048e-02 9.41e+00 5.86e+02 -1.0 2.13e-01 - 6.70e-01 4.32e-01f 1\n", + " 554r 7.8588556e-02 3.40e+00 3.89e+03 -1.0 1.87e-01 -1.0 9.85e-01 1.00e+00f 1\n", + " 555r 7.6125145e-02 1.18e+00 2.78e+03 -1.0 2.58e-01 - 3.56e-01 1.00e+00f 1\n", + " 556r 7.0797880e-02 5.14e-01 8.32e+02 -1.0 2.56e-01 - 7.18e-01 1.00e+00f 1\n", + " 557r 3.8579907e-02 1.27e-01 1.48e+03 -1.0 2.04e-01 - 4.82e-01 1.00e+00f 1\n", + " 558r 3.8093017e-02 1.81e-01 8.86e+03 -1.0 1.43e-01 - 2.12e-01 9.85e-01h 1\n", + " 559r 3.6469843e-02 2.23e-02 1.36e+02 -1.0 2.00e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 560 3.4505419e-02 2.23e-02 1.20e+02 -1.0 1.34e+00 - 8.75e-01 3.30e-03h 7\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 511 2.1682090e+01 8.73e+00 1.61e+10 -1.0 4.09e-02 11.7 1.00e+00 5.12e-02h 2\n", - " 512 2.3052027e+01 8.71e+00 1.61e+10 -1.0 1.18e-01 11.3 1.00e+00 1.27e-02h 2\n", - " 513 2.3318159e+01 8.70e+00 1.63e+10 -1.0 4.65e-02 11.7 1.00e+00 3.07e-02h 4\n", - " 514 3.3214478e+01 7.67e+00 2.05e+10 -1.0 1.33e-01 11.2 1.00e+00 9.12e-01h 1\n", - " 515 3.3639381e+01 6.17e+00 2.01e+10 -1.0 3.78e-01 10.7 1.00e+00 5.00e-01h 2\n", - " 516 3.4797540e+01 6.01e+00 2.39e+10 -1.0 2.11e-02 12.1 1.00e+00 1.00e+00h 1\n", - " 517 3.4854742e+01 5.49e+00 2.65e+10 -1.0 7.04e-02 11.6 1.00e+00 1.00e+00h 1\n", - " 518 3.5208711e+01 5.28e+00 2.94e+10 -1.0 2.92e-02 12.0 1.00e+00 1.00e+00h 1\n", - " 519 3.5462454e+01 5.20e+00 3.24e+10 -1.0 1.21e-02 12.4 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 520 3.5698497e+01 4.93e+00 3.47e+10 -1.0 3.88e-02 12.0 1.00e+00 1.00e+00h 1\n", - " 521 3.5906894e+01 4.14e+00 3.46e+10 -1.0 1.17e-01 11.5 1.00e+00 1.00e+00h 1\n", - " 522 3.6325822e+01 2.31e+00 3.00e+10 -1.0 2.96e-01 11.0 1.00e+00 1.00e+00H 1\n", - " 523 3.6579620e+01 1.74e+00 2.90e+10 -1.0 1.07e-01 11.4 1.00e+00 1.00e+00H 1\n", - " 524 3.6652387e+01 1.12e+00 2.59e+10 -1.0 2.58e-01 10.9 1.00e+00 5.00e-01h 2\n", - " 525 3.6658329e+01 1.12e+00 2.57e+10 -1.0 2.17e-01 11.4 3.91e-01 6.25e-02h 5\n", - " 526 3.6852320e+01 1.30e+00 1.96e+10 -1.0 2.49e-01 10.9 1.00e+00 1.00e+00h 1\n", - " 527r 3.6852320e+01 1.30e+00 1.00e+03 0.1 0.00e+00 11.3 0.00e+00 3.81e-07R 17\n", - " 528r 2.7564694e+01 8.40e-01 9.94e+02 0.1 1.30e+03 - 5.61e-03 9.91e-04f 1\n", - " 529 2.7554735e+01 8.38e-01 1.55e+06 -1.0 1.98e+02 - 1.43e-01 2.73e-03h 7\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 530 3.9554991e+01 6.64e-01 6.17e+08 -1.0 1.03e-02 10.8 9.90e-01 2.31e-01h 1\n", - " 531 3.8175226e+01 7.24e-01 3.40e+09 -1.0 2.53e-02 10.4 1.00e+00 1.00e+00h 1\n", - " 532 3.8060356e+01 1.91e+00 3.19e+09 -1.0 5.41e-01 9.9 2.48e-01 6.25e-02h 5\n", - " 533 3.7293394e+01 1.93e+00 5.07e+09 -1.0 7.97e-02 9.4 1.00e+00 5.00e-01h 2\n", - " 534 3.6553464e+01 2.19e+00 1.75e+10 -1.0 8.65e-02 8.9 1.00e+00 5.00e-01h 2\n", - " 535 3.5305824e+01 1.09e+00 4.95e+09 -1.0 1.77e-01 8.5 1.00e+00 1.00e+00f 1\n", - " 536 3.4113075e+01 1.66e+00 8.19e+08 -1.0 6.02e-02 8.9 1.00e+00 1.00e+00h 1\n", - " 537 3.3076807e+01 1.41e-01 6.39e+08 -1.0 6.28e-03 11.1 1.00e+00 1.00e+00h 1\n", - " 538 3.2246787e+01 1.33e-01 3.43e+08 -1.0 6.78e-03 10.6 1.00e+00 1.00e+00h 1\n", - " 539 3.1645570e+01 3.56e-01 1.54e+08 -1.0 1.06e-02 10.2 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 540 3.1259637e+01 3.16e+00 1.18e+08 -1.0 2.45e-02 9.7 1.00e+00 1.00e+00h 1\n", - " 541 3.1002208e+01 7.87e-01 1.21e+08 -1.0 9.41e-03 10.1 1.00e+00 1.00e+00h 1\n", - " 542 3.0882125e+01 1.96e-01 1.04e+08 -1.0 2.39e-02 9.6 1.00e+00 1.00e+00h 1\n", - " 543 3.1150595e+01 1.61e-01 1.36e+08 -1.0 5.25e-02 9.2 1.00e+00 1.00e+00h 1\n", - " 544 3.2099320e+01 8.83e-02 6.78e+07 -1.0 1.10e-01 8.7 1.00e+00 1.00e+00H 1\n", - " 545 3.0983340e+01 5.64e-01 1.80e+08 -1.0 7.57e-02 8.2 1.00e+00 1.00e+00H 1\n", - " 546 2.9309727e+01 1.20e+00 2.65e+07 -1.0 9.07e-02 7.7 1.00e+00 1.00e+00H 1\n", - " 547 2.7419300e+01 7.17e-01 3.08e+07 -1.0 6.43e-02 8.2 1.00e+00 1.00e+00h 1\n", - " 548 2.5307992e+01 3.39e-01 3.12e+07 -1.0 3.69e-02 8.6 5.07e-01 1.00e+00f 1\n", - " 549 2.3160196e+01 1.12e-01 2.02e+07 -1.0 8.89e-02 8.1 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 550 2.3161643e+01 1.63e-01 1.89e+07 -1.0 4.74e-01 7.6 5.97e-01 3.12e-02h 6\n", - " 551 3.2543880e+01 2.50e-01 1.84e+07 -1.0 1.14e-01 8.0 1.00e+00 4.08e-01H 1\n", - " 552 3.1148611e+01 5.45e-01 1.06e+07 -1.0 3.55e-02 8.5 1.00e+00 1.00e+00h 1\n", - " 553 2.9881629e+01 1.16e+00 4.01e+07 -1.0 1.02e-01 8.0 7.62e-01 1.00e+00h 1\n", - " 554 2.9680725e+01 1.01e+00 1.81e+07 -1.0 3.27e-02 9.3 1.00e+00 1.25e-01h 4\n", - " 555 2.8514079e+01 1.08e-01 1.18e+07 -1.0 1.66e-02 8.9 1.00e+00 1.00e+00h 1\n", - " 556 2.7466638e+01 7.54e-01 1.32e+07 -1.0 5.56e-02 8.4 1.00e+00 1.00e+00h 1\n", - " 557 2.7148130e+01 9.75e-01 1.39e+07 -1.0 2.06e-01 7.9 1.00e+00 2.50e-01h 3\n", - " 558 2.7092834e+01 1.21e+00 1.47e+07 -1.0 1.41e+00 7.4 3.61e-01 3.12e-02h 6\n", - " 559 2.6437507e+01 1.34e+00 1.61e+07 -1.0 2.51e-01 7.8 1.00e+00 5.00e-01h 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 560 2.5242660e+01 9.89e-01 1.93e+07 -1.0 7.77e-02 8.3 1.00e+00 1.00e+00h 1\n", - " 561 2.3518027e+01 1.59e-01 2.04e+07 -1.0 3.44e-03 9.6 1.00e+00 1.00e+00f 1\n", - " 562 2.1093343e+01 6.66e-02 1.25e+07 -1.0 1.18e-03 10.0 4.10e-01 1.00e+00f 1\n", - " 563 1.9767301e+01 6.67e-02 3.95e+07 -1.0 1.06e-03 10.5 1.00e+00 1.00e+00h 1\n", - " 564 1.9312442e+01 6.67e-02 5.04e+07 -1.0 6.65e-04 10.9 1.00e+00 1.00e+00h 1\n", - " 565 1.8176376e+01 2.21e-01 3.25e+08 -1.0 4.65e-03 10.4 1.00e+00 1.00e+00h 1\n", - " 566 1.6312916e+01 6.68e-02 1.38e+08 -1.0 2.11e-03 9.9 7.05e-01 1.00e+00f 1\n", - " 567 1.4104856e+01 6.63e-02 2.03e+07 -1.0 7.27e-03 9.4 1.00e+00 1.00e+00f 1\n", - " 568 1.3625842e+01 6.59e-02 2.29e+07 -1.0 3.07e-03 9.9 1.00e+00 1.00e+00h 1\n", - " 569 1.3462819e+01 6.56e-02 2.55e+07 -1.0 1.28e-03 10.3 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 570 1.3025721e+01 6.49e-02 2.80e+07 -1.0 4.22e-03 9.8 1.00e+00 1.00e+00h 1\n", - " 571 1.2879356e+01 6.46e-02 3.05e+07 -1.0 1.72e-03 10.2 1.00e+00 1.00e+00h 1\n", - " 572 1.2491296e+01 1.55e-01 8.48e+07 -1.0 5.57e-03 9.8 1.00e+00 1.00e+00h 1\n", - " 573 1.1668757e+01 6.06e-02 3.45e+07 -1.0 1.76e-02 9.3 1.00e+00 1.00e+00h 1\n", - " 574 1.1638778e+01 6.04e-02 3.64e+07 -1.0 8.68e-04 10.6 1.00e+00 1.00e+00h 1\n", - " 575 1.1555923e+01 1.43e-01 4.91e+07 -1.0 3.13e-03 10.1 1.00e+00 1.00e+00h 1\n", - " 576 1.1341381e+01 3.54e-01 4.02e+07 -1.0 8.63e-03 9.7 1.00e+00 1.00e+00h 1\n", - " 577 1.0862095e+01 2.31e-01 4.09e+07 -1.0 2.64e-02 9.2 1.00e+00 1.00e+00h 1\n", - " 578 1.0729448e+01 5.12e-02 4.19e+07 -1.0 1.01e-02 9.6 1.00e+00 1.00e+00h 1\n", - " 579 1.0441761e+01 9.84e-02 4.17e+07 -1.0 3.02e-02 9.1 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 580 1.0432359e+01 4.49e-02 4.22e+07 -1.0 1.43e-03 10.5 1.00e+00 1.00e+00h 1\n", - " 581 1.0427688e+01 4.47e-02 4.24e+07 -1.0 4.38e-03 10.0 1.00e+00 2.50e-01h 3\n", - " 582 1.0421572e+01 4.42e-02 4.32e+07 -1.0 1.65e-03 10.4 1.00e+00 1.00e+00h 1\n", - " 583 1.0413770e+01 4.29e-02 4.43e+07 -1.0 5.08e-03 9.9 1.00e+00 1.00e+00h 1\n", - " 584 1.0420959e+01 4.32e-02 4.52e+07 -1.0 1.55e-02 9.5 1.00e+00 1.00e+00h 1\n", - " 585 1.0434989e+01 6.82e-02 4.60e+07 -1.0 5.94e-03 9.9 1.00e+00 1.00e+00h 1\n", - " 586 1.0436141e+01 9.19e-02 4.60e+07 -1.0 8.65e-02 9.4 4.36e-01 1.56e-02h 7\n", - " 587 1.0488880e+01 7.36e-02 4.55e+07 -1.0 5.08e-02 8.9 1.00e+00 2.50e-01h 3\n", - " 588 1.0534711e+01 4.86e-02 4.52e+07 -1.0 1.96e-02 9.4 1.00e+00 5.00e-01h 2\n", - " 589r 1.0534711e+01 4.86e-02 9.98e+02 -1.0 0.00e+00 8.9 0.00e+00 4.77e-07R 22\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 590r 1.0527771e+01 5.54e-01 9.86e+02 -1.0 4.02e+01 - 3.53e-02 2.04e-03f 1\n", - " 591r 1.0408832e+01 7.89e+00 9.39e+02 -1.0 3.44e+01 - 8.09e-02 3.17e-02f 1\n", - " 592r 1.0315667e+01 5.00e+00 8.70e+02 -1.0 7.12e+00 - 2.63e-01 3.78e-02f 1\n", - " 593r 9.7067023e+00 3.60e+00 6.95e+02 -1.0 4.72e+00 - 4.42e-01 2.04e-01f 1\n", - " 594r 8.0198334e+00 3.58e+01 2.60e+02 -1.0 4.17e+00 - 9.96e-01 6.35e-01f 1\n", - " 595r 2.7088021e-01 8.26e+00 1.17e+02 -1.0 9.25e-01 0.0 9.34e-01 1.00e+00f 1\n", - " 596r 7.8730133e-01 3.55e+00 1.59e+02 -1.0 3.24e-01 0.4 1.00e+00 5.58e-01h 1\n", - " 597r 1.3027533e+00 4.26e-01 1.01e+02 -1.0 2.77e-01 -0.1 1.00e+00 1.00e+00f 1\n", - " 598r 1.3075089e+00 3.85e-01 1.77e+02 -1.0 2.93e-01 1.3 1.10e-01 9.68e-02h 1\n", - " 599r 1.6396450e+00 4.36e+00 1.29e+02 -1.0 5.64e+00 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 600r 1.8915448e+00 7.02e-01 6.68e+00 -1.0 9.56e-01 - 1.00e+00 1.00e+00h 1\n", - " 601r 1.8839050e+00 2.05e-02 7.66e-01 -1.0 2.57e-01 - 1.00e+00 1.00e+00h 1\n", - " 602 2.1107152e+00 1.25e+01 2.95e+02 -1.0 2.74e+01 - 2.81e-01 2.23e-01f 1\n", - " 603 2.1306475e+00 1.18e+01 4.94e+08 -1.0 2.06e-01 8.4 1.00e+00 1.00e+00h 1\n" + " 561 -2.3171275e-01 3.46e+00 7.57e+02 -1.0 3.85e+00 - 6.05e-01 3.66e-01f 1\n", + " 562 -2.1690382e-01 1.85e+00 8.66e+02 -1.0 8.27e+00 - 3.62e-01 1.38e-01f 1\n", + " 563 -2.1608123e-01 1.83e+01 1.37e+03 -1.0 1.17e+01 - 2.20e-01 2.73e-01f 1\n", + " 564 -1.9883068e-01 2.49e+02 2.73e+03 -1.0 1.30e+01 - 1.90e-01 2.70e-01f 1\n", + " 565 -1.9475931e-01 5.20e+01 1.06e+06 -1.0 1.53e+00 4.1 4.05e-01 1.00e+00h 1\n", + " 566 -1.9562062e-01 3.89e+01 7.87e+05 -1.0 5.12e-01 3.6 4.81e-01 2.78e-01h 1\n", + " 567 -1.9619143e-01 3.33e+01 6.72e+05 -1.0 2.31e+00 3.1 2.59e-01 1.53e-01h 1\n", + " 568 -1.9789479e-01 2.44e+01 1.19e+06 -1.0 1.92e+00 3.5 4.06e-01 2.96e-01h 1\n", + " 569 -1.7170300e-01 4.89e+01 1.08e+08 -1.0 3.47e+00 4.0 3.62e-02 2.15e-01f 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 570 -1.7195771e-01 1.63e+01 4.62e+07 -1.0 1.83e-01 6.2 4.81e-02 1.00e+00f 1\n", + " 571 -1.7538618e-01 5.88e+00 1.17e+07 -1.0 1.52e-01 5.7 1.00e+00 1.00e+00h 1\n", + " 572 -1.8678260e-01 2.68e+00 3.41e+06 -1.0 1.50e-01 5.2 1.00e+00 1.00e+00h 1\n", + " 573 -1.8932644e-01 2.37e+00 2.89e+06 -1.0 3.12e-01 4.8 1.00e+00 1.55e-01h 1\n", + " 574 -1.9190899e-01 2.05e+00 3.88e+06 -1.0 4.51e-01 5.2 1.00e+00 3.77e-01h 1\n", + " 575 -1.9422429e-01 1.60e+00 3.75e+06 -1.0 2.02e+00 4.7 8.43e-01 2.17e-01h 1\n", + " 576 -1.9443468e-01 1.50e-01 3.39e+08 -1.0 1.13e+00 6.0 1.82e-01 2.39e-01f 3\n", + " 577 -1.9559357e-01 9.00e-02 1.61e+08 -1.0 4.12e-02 5.6 1.00e+00 5.40e-01h 1\n", + " 578 -1.9680442e-01 6.75e-02 1.10e+08 -1.0 7.89e-02 5.1 1.00e+00 3.18e-01h 1\n", + " 579 -1.9735129e-01 6.26e-02 1.00e+08 -1.0 4.24e-01 4.6 1.00e+00 9.02e-02h 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 580 -1.9921335e-01 6.52e-02 3.25e+07 -1.0 8.47e-02 5.0 1.00e+00 6.82e-01h 1\n", + " 581 -1.9925075e-01 6.55e-02 3.24e+07 -1.0 1.14e+00 4.6 5.53e-01 4.00e-03h 8\n", + " 582 -2.0132668e-01 4.78e-02 1.90e+05 -1.0 8.23e-02 5.0 1.00e+00 1.00e+00H 1\n", + " 583 -2.0395368e-01 4.39e-02 1.59e+05 -1.0 1.57e-01 4.5 7.15e-01 1.65e-01h 2\n", + " 584 -2.0418390e-01 4.37e-02 1.58e+05 -1.0 1.88e+00 4.0 3.27e-01 3.89e-03h 6\n", + " 585 -2.0518717e-01 4.18e-02 1.50e+05 -1.0 2.19e-01 4.5 1.00e+00 5.08e-02h 4\n", + " 586 -2.0519160e-01 4.18e-02 1.50e+05 -1.0 1.19e+01 4.0 4.43e-02 5.51e-05h 13\n", + " 587 -2.0559317e-01 4.11e-02 1.48e+05 -1.0 2.83e-01 4.4 1.00e+00 1.73e-02h 6\n", + " 588 -2.1552256e-01 1.36e-02 3.04e+04 -1.0 8.17e-02 4.8 1.00e+00 1.00e+00H 1\n", + " 589 -2.1555035e-01 1.37e-02 3.04e+04 -1.0 1.33e+00 4.4 6.91e-02 7.81e-04h 9\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 590 -2.1602461e-01 1.37e-02 2.95e+04 -1.0 1.54e-01 4.8 7.86e-01 3.69e-02h 5\n", + " 591 -2.1603561e-01 1.37e-02 2.95e+04 -1.0 3.65e+00 4.3 5.64e-02 2.86e-04h 11\n", + " 592 -2.1635131e-01 1.37e-02 2.90e+04 -1.0 1.90e-01 4.7 1.00e+00 2.16e-02h 6\n", + " 593 -2.2239105e-01 1.81e-02 2.80e+04 -1.0 5.39e-02 5.2 4.25e-01 1.00e+00H 1\n", + " 594 -2.2245542e-01 1.80e-02 2.80e+04 -1.0 4.95e-01 4.7 4.24e-01 3.45e-03h 8\n", + " 595 -2.2292230e-01 1.64e-02 2.66e+04 -1.0 9.36e-02 5.1 1.00e+00 6.25e-02h 5\n", + " 596 -2.2295785e-01 1.64e-02 2.66e+04 -1.0 7.82e-01 4.6 2.74e-01 1.79e-03h 9\n", + " 597 -2.2348385e-01 1.47e-02 2.54e+04 -1.0 1.14e-01 5.1 1.00e+00 6.25e-02h 5\n", + " 598 -2.2349225e-01 1.47e-02 2.54e+04 -1.0 1.61e+00 4.6 1.45e-01 4.35e-04h 11\n", + " 599 -2.2378785e-01 1.41e-02 2.49e+04 -1.0 1.40e-01 5.0 1.00e+00 3.12e-02h 6\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 600 -2.2378814e-01 1.41e-02 2.49e+04 -1.0 8.42e+00 4.5 4.31e-02 2.58e-05h 15\n", + " 601 -2.2395297e-01 1.38e-02 2.46e+04 -1.0 1.71e-01 5.0 1.00e+00 1.56e-02h 7\n", + " 602 -2.2839014e-01 5.64e-03 3.14e+04 -1.0 4.74e-02 5.4 1.00e+00 1.00e+00H 1\n", + " 603 -2.2849667e-01 5.57e-03 3.13e+04 -1.0 3.46e-01 4.9 9.40e-01 8.34e-03h 7\n", + " 604 -2.3462031e-01 1.17e-02 1.20e+05 -1.0 7.73e-02 5.3 1.00e+00 1.00e+00H 1\n", + " 605 -2.3461781e-01 1.17e-02 1.20e+05 -1.0 5.70e+00 4.9 8.91e-02 5.39e-05h 14\n", + " 606 -2.3466927e-01 1.17e-02 1.19e+05 -1.0 1.49e-01 5.3 1.00e+00 7.81e-03h 8\n", + " 607 -2.3737408e-01 1.67e-03 3.57e+04 -1.0 4.09e-02 5.7 1.00e+00 1.00e+00H 1\n", + " 608 -2.3738789e-01 1.68e-03 3.56e+04 -1.0 1.81e-01 5.2 1.00e+00 1.95e-03h 10\n", + " 609 -2.3743427e-01 1.70e-03 3.51e+04 -1.0 4.83e-02 5.7 1.00e+00 1.56e-02h 7\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 610 -2.3744916e-01 1.71e-03 3.50e+04 -1.0 2.23e-01 5.2 1.00e+00 1.95e-03h 10\n", + " 611 -2.4030769e-01 4.17e-03 2.87e+04 -1.0 5.61e-02 5.6 1.00e+00 1.00e+00H 1\n", + " 612 -2.4049249e-01 1.92e-03 2.81e+04 -1.0 2.06e-01 5.1 1.00e+00 2.77e-02h 6\n", + " 613 -2.4049206e-01 2.12e-03 2.82e+04 -1.0 1.05e+00 4.6 7.23e-01 5.60e-03h 6\n", + " 614 -2.4050578e-01 2.12e-03 2.82e+04 -1.0 2.38e-01 5.1 1.00e+00 1.95e-03h 10\n", + " 615 -2.4050486e-01 2.12e-03 2.81e+04 -1.0 1.25e+00 4.6 3.71e-01 1.71e-04h 12\n", + " 616 -2.4051956e-01 2.12e-03 2.81e+04 -1.0 2.75e-01 5.0 1.00e+00 1.95e-03h 10\n", + " 617r-2.4051956e-01 2.12e-03 1.00e+03 -1.0 0.00e+00 4.5 0.00e+00 3.06e-07R 21\n", + " 618r-2.2094300e-01 1.58e-01 1.69e+03 -1.0 2.27e+00 - 5.01e-01 4.79e-02f 1\n", + " 619r-1.9268006e-01 1.27e+01 6.84e+02 -1.0 1.61e+00 - 6.07e-01 4.35e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 620r-1.9752433e-01 7.52e-01 5.63e+03 -1.0 2.74e-01 2.0 4.14e-01 9.89e-01f 1\n", + " 621r-2.0577867e-01 7.25e-01 5.43e+03 -1.0 6.91e-01 - 4.41e-02 3.61e-02f 1\n", + " 622r-2.4434780e-01 6.00e-01 1.89e+04 -1.0 8.21e-01 - 8.36e-03 1.68e-01f 1\n", + " 623r-2.5020090e-01 2.21e-01 7.62e+03 -1.0 7.36e-02 1.5 4.94e-01 5.74e-01f 1\n", + " 624r-3.2140711e-01 6.65e-01 2.74e+03 -1.0 5.11e-01 - 2.52e-01 6.86e-01f 1\n", + " 625r-3.2816164e-01 5.55e+00 6.14e+03 -1.0 3.80e-01 - 2.78e-01 1.00e+00f 1\n", + " 626r-3.2881482e-01 9.90e-01 1.19e+03 -1.0 1.18e-01 1.9 7.12e-01 1.00e+00f 1\n", + " 627r-3.4478619e-01 3.63e-01 4.75e+02 -1.0 1.53e-01 - 5.68e-01 5.39e-01f 1\n", + " 628r-3.7068069e-01 1.99e-01 6.30e+02 -1.0 1.73e-01 - 6.48e-01 1.00e+00f 1\n", + " 629r-3.7118921e-01 3.33e-02 4.68e+02 -1.0 5.06e-02 1.5 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 630r-3.7739216e-01 2.92e-02 3.66e+02 -1.0 1.31e-01 - 6.43e-01 1.00e+00f 1\n", + " 631r-3.7785151e-01 1.38e+00 3.89e+02 -1.0 1.66e-01 - 1.00e+00 1.00e+00f 1\n", + " 632r-3.7847928e-01 2.81e-01 1.41e+02 -1.0 1.78e-01 - 8.94e-01 1.00e+00h 1\n", + " 633r-3.8023198e-01 2.24e-02 3.36e+01 -1.0 1.18e-01 - 1.00e+00 1.00e+00h 1\n", + " 634r-3.8068769e-01 1.13e-03 9.53e-01 -1.0 1.19e-02 - 1.00e+00 1.00e+00h 1\n", + "Scaling factors are invalid - setting them all to 1.\n", + " 635 -3.7736280e-01 1.13e-03 1.21e+02 -1.0 1.45e+00 - 8.76e-01 1.89e-03h 8\n", + " 636 -3.7748465e-01 1.13e-03 1.92e+02 -1.0 2.89e+00 - 7.54e-01 7.46e-04h 10\n", + " 637 -3.5523179e-01 1.08e+01 4.45e+02 -1.0 8.41e+00 - 4.24e-01 2.41e-01f 1\n", + " 638 -3.5583981e-01 1.07e+01 3.60e+03 -1.0 2.35e+00 - 9.95e-01 8.81e-03h 1\n", + " 639 -3.5599844e-01 7.83e+00 3.53e+03 -1.0 6.24e-01 - 1.00e+00 2.57e-01h 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 640 -3.2583053e-01 6.73e+00 3.26e+03 -1.0 4.45e-01 - 1.00e+00 1.39e-01h 3\n", + " 641 -2.7759041e-01 5.60e+00 2.95e+03 -1.0 3.47e-01 - 1.00e+00 1.65e-01h 3\n", + " 642 -2.7331567e-01 5.54e+00 3.06e+03 -1.0 2.82e-01 - 1.00e+00 1.20e-02h 7\n", + " 643 -2.7078813e-01 5.50e+00 3.24e+03 -1.0 2.73e-01 - 1.00e+00 7.03e-03h 8\n", + " 644 1.1104049e-01 5.64e-01 8.59e+03 -1.0 2.71e-01 - 1.00e+00 9.79e-01h 1\n", + " 645 1.3587187e-01 4.65e-02 7.98e+03 -1.0 1.62e-02 4.1 4.74e-01 1.00e+00f 1\n", + " 646 1.3572362e-01 3.64e-02 6.09e+03 -1.0 1.90e-02 3.6 1.00e+00 2.25e-01h 1\n", + " 647 1.3578389e-01 2.65e-02 4.03e+03 -1.0 1.76e-02 3.1 1.00e+00 2.98e-01h 1\n", + " 648 1.3811185e-01 1.64e-02 5.37e+03 -1.0 2.27e-02 2.6 1.00e+00 5.60e-01h 1\n", + " 649 1.6164020e-01 1.92e-02 1.50e+04 -1.0 7.14e-02 2.2 1.00e+00 7.93e-01H 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 650 1.6748733e-01 4.63e-02 1.19e+04 -1.0 3.29e-02 2.6 1.00e+00 4.18e-01f 2\n", + " 651 2.0929918e-01 4.54e-02 1.48e+04 -1.0 8.01e-01 - 8.01e-02 2.48e-02h 1\n", + " 652 2.0975402e-01 4.54e-02 1.72e+07 -1.0 7.63e-01 - 2.10e-01 2.75e-04h 1\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 604 2.1464590e+00 3.55e+00 6.89e+07 -1.0 4.08e-01 7.9 3.71e-01 9.62e-01h 1\n", - " 605 2.1478087e+00 7.82e-01 3.26e+07 -1.0 9.89e-02 7.5 1.00e+00 1.00e+00f 1\n", - " 606 2.1439203e+00 8.07e-02 5.73e+06 -1.0 1.58e-01 7.0 1.00e+00 1.00e+00h 1\n", - " 607 2.1436689e+00 4.29e-02 7.83e+06 -1.0 1.47e-02 8.3 1.00e+00 5.00e-01h 2\n", - " 608 2.1434120e+00 4.17e-02 7.77e+06 -1.0 6.01e-03 8.7 1.00e+00 1.00e+00h 1\n", - " 609 2.1432683e+00 4.92e-03 4.00e+06 -1.0 2.79e-03 9.2 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 610 2.1427446e+00 5.27e-03 3.47e+06 -1.0 7.26e-03 8.7 1.00e+00 1.00e+00h 1\n", - " 611 2.1425254e+00 6.45e-03 2.57e+06 -1.0 2.02e-03 9.1 1.00e+00 1.00e+00h 1\n", - " 612 2.1419059e+00 7.88e-03 1.25e+06 -1.0 2.76e-03 8.6 1.00e+00 1.00e+00h 1\n", - " 613 2.1407263e+00 7.18e-03 1.10e+06 -1.0 2.92e-03 8.2 1.00e+00 1.00e+00f 1\n", - " 614 2.1400822e+00 3.80e-03 2.88e+05 -1.0 6.09e-03 7.7 1.00e+00 1.00e+00f 1\n", - " 615 2.1412814e+00 1.54e-02 4.71e+05 -1.0 1.66e-02 7.2 1.00e+00 1.00e+00f 1\n", - " 616 2.1412866e+00 1.82e-02 4.68e+05 -1.0 7.05e-01 6.7 3.93e-01 7.81e-03h 8\n", - " 617 2.1420208e+00 2.59e-01 9.36e+05 -1.0 2.52e-02 7.1 1.00e+00 1.00e+00h 1\n", - " 618 2.1420123e+00 3.01e-02 7.38e+05 -1.0 1.12e-02 7.6 1.00e+00 1.00e+00h 1\n", - " 619 2.1417665e+00 1.07e-01 4.50e+05 -1.0 2.25e-02 7.1 1.00e+00 1.00e+00H 1\n" + " 653 2.0977979e-01 4.54e-02 7.25e+09 -1.0 1.23e+01 - 1.32e-02 3.10e-05h 1\n", + " 654r 2.0977979e-01 4.54e-02 1.00e+03 -1.0 0.00e+00 - 0.00e+00 3.19e-07R 5\n", + " 655r 2.0427060e-01 1.45e-03 1.30e+03 -1.0 2.06e+01 - 1.68e-01 2.19e-03f 1\n", + " 656 2.0479873e-01 1.45e-03 4.45e+05 -1.0 7.60e-01 - 9.66e-01 3.21e-04h 1\n", + " 657 -4.5477006e-01 7.12e-02 2.17e+05 -1.0 3.03e-01 - 5.11e-01 1.00e+00f 1\n", + " 658 -4.5038619e-01 7.10e-02 3.54e+07 -1.0 1.33e+00 - 3.90e-01 2.38e-03h 1\n", + " 659r-4.5038619e-01 7.10e-02 1.00e+03 -1.0 0.00e+00 - 0.00e+00 4.52e-07R 8\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 660r-4.3109749e-01 1.63e-02 1.58e+03 -1.0 5.04e+01 - 3.33e-01 1.40e-03f 1\n", + " 661 -4.2839363e-01 1.63e-02 6.95e+05 -1.0 1.31e+00 - 9.86e-01 1.49e-03h 1\n", + " 662 -6.4212818e-01 1.51e-02 3.37e+05 -1.0 1.94e-01 - 5.15e-01 1.00e+00f 1\n", + " 663 -5.2241660e-01 1.70e-02 2.26e+06 -1.0 1.67e+00 - 9.17e-03 6.25e-02f 5\n", + " 664 3.0479963e+00 1.56e-02 2.09e+06 -1.0 1.48e+00 - 5.35e-02 1.00e+00H 1\n", + " 665 2.6137549e+00 3.38e-03 9.96e+02 -1.0 5.78e-02 - 1.00e+00 1.00e+00f 1\n", + " 666 2.6542662e+00 6.40e-05 1.32e-02 -1.0 8.00e-03 - 1.00e+00 1.00e+00h 1\n", + " 667 2.6546691e+00 2.24e-08 4.02e-02 -2.5 1.49e-04 - 1.00e+00 1.00e+00h 1\n", + " 668 2.6541213e+00 2.24e-08 1.29e-03 -2.5 3.64e-03 - 1.00e+00 1.00e+00H 1\n", + " 669 2.6537157e+00 2.25e-06 2.02e-02 -3.8 2.66e-03 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 670 2.6528337e+00 1.06e-05 3.38e-03 -3.8 5.51e-03 - 1.00e+00 1.00e+00h 1\n", + " 671 2.6528325e+00 1.86e-08 1.28e-07 -3.8 1.50e-05 - 1.00e+00 1.00e+00h 1\n", + " 672 2.6526045e+00 7.13e-07 6.20e-04 -5.7 1.40e-03 - 1.00e+00 1.00e+00h 1\n", + " 673 2.6525727e+00 2.24e-08 4.61e-06 -5.7 1.84e-04 - 1.00e+00 1.00e+00h 1\n", + " 674 2.6525690e+00 1.86e-08 1.24e-07 -8.6 2.22e-05 - 1.00e+00 1.00e+00h 1\n", + " 675 2.6525690e+00 1.86e-08 1.36e-12 -8.6 3.64e-08 - 1.00e+00 1.00e+00h 1\n", + " 676 2.6525690e+00 1.49e-08 2.05e-12 -9.0 1.93e-08 - 1.00e+00 1.00e+00h 1\n", + " 677 2.6525690e+00 1.86e-08 1.14e-12 -9.0 2.53e-10 - 1.00e+00 1.00e+00h 1\n", + " 678 2.6525690e+00 1.49e-08 3.17e-12 -9.0 5.43e-11 - 1.00e+00 1.00e+00h 1\n", + " 679 2.6525690e+00 1.49e-08 1.08e-12 -9.0 2.07e-11 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 680 2.6525690e+00 1.49e-08 1.96e-09 -9.0 1.53e-11 2.1 1.00e+00 1.00e+00h 1\n", + " 681 2.6525690e+00 1.49e-08 1.86e-12 -9.0 1.53e-11 - 1.00e+00 1.00e+00h 1\n", + " 682 2.6525690e+00 7.45e-09 2.45e-09 -9.0 1.53e-11 1.6 1.00e+00 5.00e-01h 2\n", + "\n", + "Number of Iterations....: 682\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 2.6525689845931080e+00 2.6525689845931080e+00\n", + "Dual infeasibility......: 2.4529427378183755e-09 2.4529427378183755e-09\n", + "Constraint violation....: 4.5078562067452205e-09 7.4505805969238281e-09\n", + "Complementarity.........: 9.0909090909385728e-10 9.0909090909385728e-10\n", + "Overall NLP error.......: 4.5078562067452205e-09 7.4505805969238281e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 2034\n", + "Number of objective gradient evaluations = 605\n", + "Number of equality constraint evaluations = 2034\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 734\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 682\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 12121.294\n", + "Total CPU secs in NLP function evaluations = 202.919\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "JAC is: [[[ 0.00000000e+00 2.18519520e-08 9.90354463e-08 8.35982622e-07\n", + " 7.62779484e-06 3.23699626e-05 1.52094341e-04 4.37315255e-04\n", + " 4.37492280e-04 3.68574554e-04 2.82909118e-04 2.00126496e-04\n", + " 1.27420079e-04 6.67670397e-05 1.79143660e-05 -2.03021382e-05\n", + " -4.93497253e-05 -7.07147917e-05 -8.57746783e-05 -9.57467059e-05\n", + " -1.01675883e-04 -1.04441568e-04 -1.04772756e-04 -1.03266514e-04\n", + " -1.00406730e-04 -9.65817223e-05 -9.21000819e-05 -8.72045354e-05\n", + " -8.20838428e-05 -7.68828746e-05 -7.17110545e-05 -6.66493745e-05\n", + " -6.17561829e-05 -5.70719289e-05 -5.26230323e-05 -4.84250213e-05\n", + " -4.44850647e-05 -4.08040042e-05 -3.73779769e-05 -3.41997028e-05\n", + " -3.12595004e-05 -2.85460807e-05 -2.60471644e-05 -2.37499551e-05\n", + " -2.16414988e-05 -1.97089516e-05 -1.79397761e-05 -1.63218803e-05\n", + " -1.48437124e-05 -1.34943213e-05 -1.22633902e-05 -1.11412504e-05\n", + " -1.01188798e-05 -9.18789081e-06 -8.34050953e-06 -7.56955022e-06\n", + " -6.86838588e-06 -6.23091673e-06 -5.65153781e-06 -5.12510640e-06\n", + " -4.64690993e-06 -4.21263481e-06 -3.81833650e-06 -3.46041102e-06\n", + " -3.13556803e-06 -2.84080549e-06 -2.57338606e-06 -2.33081499e-06\n", + " -2.11081975e-06]\n", + " [ 0.00000000e+00 -1.49172675e-09 -6.76179604e-09 -6.31716909e-08\n", + " -6.52911038e-07 -2.89262342e-06 -1.45999745e-05 -4.47237693e-05\n", + " -4.74326345e-05 -4.09060499e-05 -3.15433988e-05 -2.20660110e-05\n", + " -1.35645592e-05 -6.40328094e-06 -6.20865047e-07 3.88639386e-06\n", + " 7.27771871e-06 9.72574598e-06 1.13963105e-05 1.24393505e-05\n", + " 1.29855838e-05 1.31461795e-05 1.30139301e-05 1.26651103e-05\n", + " 1.21615687e-05 1.15528106e-05 1.08779429e-05 1.01674238e-05\n", + " 9.44459664e-06 8.72701063e-06 8.02754094e-06 7.35532922e-06\n", + " 6.71656478e-06 6.11512832e-06 5.55311792e-06 5.03127582e-06\n", + " 4.54933186e-06 4.10627791e-06 3.70058514e-06 3.33037457e-06\n", + " 2.99354962e-06 2.68789768e-06 2.41116703e-06 2.16112384e-06\n", + " 1.93559352e-06 1.73248959e-06 1.54983303e-06 1.38576397e-06\n", + " 1.23854794e-06 1.10657758e-06 9.88371315e-07 8.82569804e-07\n", + " 7.87930696e-07 7.03322434e-07 6.27717399e-07 5.60184761e-07\n", + " 4.99883262e-07 4.46054066e-07 3.98013921e-07 3.55148488e-07\n", + " 3.16906225e-07 2.82792454e-07 2.52364026e-07 2.25224267e-07\n", + " 2.01018415e-07 1.79429392e-07 1.60173963e-07 1.42999290e-07\n", + " 1.27679712e-07]]\n", + "\n", + " [[ 0.00000000e+00 5.12319101e-08 5.64473563e-07 4.58303249e-06\n", + " 3.29141630e-05 9.45793007e-05 3.57836092e-04 2.05217544e-05\n", + " -7.88677732e-05 -1.07114969e-04 -1.06613139e-04 -9.49336798e-05\n", + " -7.96921387e-05 -6.42653603e-05 -5.01087218e-05 -3.77681764e-05\n", + " -2.73520079e-05 -1.87620187e-05 -1.18105879e-05 -6.28073479e-06\n", + " -1.95659203e-06 1.36188972e-06 3.85273238e-06 5.67028640e-06\n", + " 6.94596947e-06 7.79016103e-06 8.29457544e-06 8.53472948e-06\n", + " 8.57230287e-06 8.45729789e-06 8.22995181e-06 7.92240109e-06\n", + " 7.56010677e-06 7.16306120e-06 6.74680388e-06 6.32326561e-06\n", + " 5.90147132e-06 5.48811822e-06 5.08804973e-06 4.70464324e-06\n", + " 4.34012704e-06 3.99583443e-06 3.67240993e-06 3.36997678e-06\n", + " 3.08826612e-06 2.82672541e-06 2.58459928e-06 2.36099572e-06\n", + " 2.15493635e-06 1.96539581e-06 1.79133214e-06 1.63170821e-06\n", + " 1.48550858e-06 1.35175184e-06 1.22949807e-06 1.11785483e-06\n", + " 1.01597922e-06 9.23080191e-07 8.38419069e-07 7.61307914e-07\n", + " 6.91107809e-07 6.27227680e-07 5.69122482e-07 5.16289964e-07\n", + " 4.68267107e-07 4.24629769e-07 3.84989131e-07 3.48988231e-07\n", + " 3.16301053e-07]\n", + " [ 0.00000000e+00 -1.67218889e-06 -8.21985696e-06 -8.90509646e-05\n", + " -5.86354039e-04 -3.15680667e-03 -1.10041783e-02 -2.85478602e-02\n", + " -3.05170274e-02 -2.96932506e-02 -2.77004230e-02 -2.52677910e-02\n", + " -2.27450573e-02 -2.03030210e-02 -1.80226170e-02 -1.59376678e-02\n", + " -1.40567578e-02 -1.23749851e-02 -1.08804981e-02 -9.55821113e-03\n", + " -8.39193182e-03 -7.36557043e-03 -6.46380497e-03 -5.67242141e-03\n", + " -4.97845900e-03 -4.37023956e-03 -3.83732956e-03 -3.37046514e-03\n", + " -2.96145879e-03 -2.60309928e-03 -2.28905175e-03 -2.01376211e-03\n", + " -1.77236791e-03 -1.56061681e-03 -1.37479280e-03 -1.21165030e-03\n", + " -1.06835542e-03 -9.42434148e-04 -8.31726689e-04 -7.34347318e-04\n", + " -6.48649340e-04 -5.73194365e-04 -5.06725569e-04 -4.48144350e-04\n", + " -3.96489982e-04 -3.50921941e-04 -3.10704503e-04 -2.75193338e-04\n", + " -2.43823873e-04 -2.16101147e-04 -1.91590981e-04 -1.69912314e-04\n", + " -1.50730520e-04 -1.33751573e-04 -1.18716983e-04 -1.05399398e-04\n", + " -9.35987111e-05 -8.31387167e-05 -7.38641899e-05 -6.56382943e-05\n", + " -5.83403487e-05 -5.18638869e-05 -4.61149095e-05 -4.10104082e-05\n", + " -3.64770377e-05 -3.24499552e-05 -2.88718399e-05 -2.56919549e-05\n", + " -2.28654247e-05]]]\n", + "FIM: [[0.04612259 0.03628661]\n", + " [0.03628661 1.55643184]]\n", + "Trace: 1.6025544274955135\n", + "Determinant: 0.07046994412084259\n", + "Condition number: 34.41457429482373\n", + "Minimal eigen value: 0.04525126898757459\n", + "Eigen values: [0.04525127 1.55730316]\n", + "Eigen vectors: [[-0.99971183 -0.02400517]\n", + " [ 0.02400517 -0.99971183]]\n", + "Model objective: -2.652568984593108\n", + "Objective(determinant) is: 0.07046994412084256\n", + "Solution of temp_feed : [273.15]\n", + "Solution of yfeed : [0.5]\n", + "======problem solver output======\n", + "converged\n", + "Total solve time with simultaneous_finite mode (Wall clock) [s]: 22746.567376852036\n", + "Total wall clock time [s]: 22755.585412740707\n" ] } ], @@ -1502,13 +1737,124 @@ "\n", "square_result, optimize_result = doe_object.optimize_doe(exp1, if_optimize=True, if_Cholesky=True, \n", " scale_nominal_param_value=True, objective_option='det', \n", - " L_initial=None)" + " L_initial=l_init, jac_initial=jac_init, fim_initial=fim_init)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "b95d1af2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "-1.2203098649458607e-51\n", + "[[[-1.22030986e-51 1.36039977e-08 9.30013128e-09 6.92615755e-09\n", + " 4.82550554e-09 3.45281161e-09 2.36193238e-09 1.94081881e-09\n", + " 2.07622136e-09 3.07009918e-09 5.40779861e-09 9.37480479e-09\n", + " 1.66942383e-08 2.77556077e-08 4.71572907e-08 7.55335897e-08\n", + " 1.23975736e-07 1.94168463e-07 3.08533186e-07 4.76674786e-07\n", + " 7.27285370e-07 1.11080265e-06 1.61052899e-06 2.41876277e-06\n", + " 3.30287903e-06 4.84456231e-06 6.21686601e-06 8.84097764e-06\n", + " 1.07718918e-05 1.45441689e-05 1.73674147e-05 2.15211590e-05\n", + " 2.64912603e-05 2.91853734e-05 3.89168809e-05 3.68603619e-05\n", + " 5.52680495e-05 4.38549036e-05 7.61454347e-05 7.18529199e-05\n", + " 5.79409486e-05 4.41709623e-05 3.13020448e-05 1.97151710e-05\n", + " 9.57817181e-06 9.23101839e-07 -6.30206872e-06 -1.21986184e-05\n", + " -1.68937014e-05 -2.05248744e-05 -2.32300912e-05 -2.51414722e-05\n", + " -2.63816666e-05 -2.70619723e-05 -2.72816307e-05 -2.71278828e-05\n", + " -2.66765041e-05 -2.59926162e-05 -2.51316429e-05 -2.41403184e-05\n", + " -2.30576885e-05 -2.19160675e-05 -2.07419296e-05 -1.95567220e-05\n", + " -1.83775967e-05 -1.72180612e-05 -1.60885511e-05 -1.49969300e-05\n", + " -1.39489234e-05]\n", + " [ 8.48727942e-53 -2.17033841e-10 -1.00408362e-12 -7.53211617e-12\n", + " -2.19853410e-13 -1.25373453e-11 -1.42132010e-11 -3.43869405e-11\n", + " -6.05488931e-11 -1.09001498e-10 -2.00107006e-10 -3.35042595e-10\n", + " -6.03069673e-10 -9.80035741e-10 -1.73198055e-09 -2.76136503e-09\n", + " -4.79035751e-09 -7.54955360e-09 -1.26706332e-08 -1.99429363e-08\n", + " -3.17228363e-08 -5.03067616e-08 -7.48500514e-08 -1.19393733e-07\n", + " -1.65107031e-07 -2.62176673e-07 -3.38038665e-07 -5.23844079e-07\n", + " -6.42703677e-07 -9.32797713e-07 -1.14247273e-06 -1.47953386e-06\n", + " -1.92571665e-06 -2.15876480e-06 -3.12043552e-06 -2.97926414e-06\n", + " -4.84765649e-06 -3.98618100e-06 -7.23428972e-06 -7.48023266e-06\n", + " -6.59345991e-06 -5.53086079e-06 -4.41221842e-06 -3.31614654e-06\n", + " -2.29276199e-06 -1.37110628e-06 -5.65167964e-07 1.21445041e-07\n", + " 6.91989551e-07 1.15400526e-06 1.51746126e-06 1.79345683e-06\n", + " 1.99333671e-06 2.12811074e-06 2.20809414e-06 2.24270444e-06\n", + " 2.24036783e-06 2.20849970e-06 2.15353387e-06 2.08098198e-06\n", + " 1.99551009e-06 1.90102317e-06 1.80075155e-06 1.69733493e-06\n", + " 1.59290173e-06 1.48914203e-06 1.38737358e-06 1.28860069e-06\n", + " 1.19356602e-06]]\n", + "\n", + " [[-1.22030986e-51 -2.33900037e-10 1.78192810e-10 3.17519054e-10\n", + " 6.23281280e-10 1.23004874e-09 2.31397883e-09 4.22113734e-09\n", + " 7.51385134e-09 1.28709399e-08 2.20749649e-08 3.61776890e-08\n", + " 6.05760607e-08 9.61490521e-08 1.58046419e-07 2.44577272e-07\n", + " 3.93164709e-07 5.94119145e-07 9.18199989e-07 1.35172052e-06\n", + " 1.95679136e-06 2.79741237e-06 3.71878474e-06 5.17694531e-06\n", + " 6.27648350e-06 8.61660761e-06 9.54431921e-06 1.30150707e-05\n", + " 1.33578955e-05 1.75104825e-05 1.75566499e-05 2.02968804e-05\n", + " 2.22888528e-05 1.98227209e-05 2.83581878e-05 1.54646274e-05\n", + " 4.76207383e-05 4.94122820e-05 -4.13914683e-05 -5.90043031e-05\n", + " -5.63530987e-05 -5.15329821e-05 -4.56244960e-05 -3.93422335e-05\n", + " -3.31361486e-05 -2.72778914e-05 -2.19191340e-05 -1.71315253e-05\n", + " -1.29343034e-05 -9.31340058e-06 -6.23460877e-06 -3.65256852e-06\n", + " -1.51682429e-06 2.24180495e-07 1.62055698e-06 2.71942604e-06\n", + " 3.56406282e-06 4.19351208e-06 4.64251073e-06 4.94161165e-06\n", + " 5.11742869e-06 5.19294725e-06 5.18786922e-06 5.11896051e-06\n", + " 5.00039168e-06 4.84405942e-06 4.65988127e-06 4.45606698e-06\n", + " 4.23935754e-06]\n", + " [ 8.48727942e-53 -1.03026065e-06 1.55221034e-09 4.10821102e-09\n", + " -5.74552182e-09 -2.35988888e-08 -5.67741425e-08 -1.14653946e-07\n", + " -2.19520825e-07 -3.95061791e-07 -7.04831558e-07 -1.20894948e-06\n", + " -2.07673500e-06 -3.46960763e-06 -5.79891282e-06 -9.53351128e-06\n", + " -1.55393876e-05 -2.52404316e-05 -4.00377497e-05 -6.40692523e-05\n", + " -9.84421482e-05 -1.53544091e-04 -2.27379162e-04 -3.40992305e-04\n", + " -4.86353774e-04 -6.95024659e-04 -9.60280473e-04 -1.30529294e-03\n", + " -1.76404114e-03 -2.28974636e-03 -3.04773777e-03 -3.81143071e-03\n", + " -4.99477468e-03 -6.09138509e-03 -7.80740251e-03 -9.42428932e-03\n", + " -1.18688071e-02 -1.59242788e-02 -1.87378264e-02 -1.79787503e-02\n", + " -1.68899427e-02 -1.57049087e-02 -1.44888155e-02 -1.32850476e-02\n", + " -1.21218077e-02 -1.10167178e-02 -9.97999283e-03 -9.01667435e-03\n", + " -8.12822534e-03 -7.31367444e-03 -6.57043943e-03 -5.89491907e-03\n", + " -5.28291637e-03 -4.72993907e-03 -4.23141005e-03 -3.78281202e-03\n", + " -3.37978419e-03 -3.01818396e-03 -2.69412337e-03 -2.40398753e-03\n", + " -2.14444016e-03 -1.91242043e-03 -1.70513374e-03 -1.52003867e-03\n", + " -1.35483169e-03 -1.20743061e-03 -1.07595770e-03 -9.58722906e-04\n", + " -8.54207593e-04]]]\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "jac_init_1 = doe_object.analysis_square.jac_extracted.copy()\n", + "print(type(jac_init_1))\n", + "print(jac_init_1[0,0,0])\n", + "\n", + "print(jac_init_1)\n", + "\n", + "fo = open('jac_initial', 'wb')\n", + "pickle.dump(jac_init_1, fo)\n", + "fo.close\n", + "\n" ] }, { "cell_type": "code", "execution_count": null, - "id": "de2995d9", + "id": "a289906d", "metadata": {}, "outputs": [], "source": [ diff --git a/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py b/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py index ce8589b7d26..770cd1e1114 100644 --- a/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py +++ b/pyomo/contrib/doe/fixed_bed_model_indexed_dynamic.py @@ -268,9 +268,9 @@ def create_model(scena, temp_feed=313.15, temp_bath=313.15, y=0.15, doe_model=Tr # Original bed temperature, [K] if m.doe_model: - m.temp_feed = Var(initialize=temp_feed, bounds=(100, 600)) + m.temp_feed = Var(initialize=temp_feed, bounds=(273.15, 373.15)) m.temp_bath = Var(initialize=temp_bath, bounds=(274, 600)) - m.yfeed = Var(initialize=y, bounds=(0,1), within=NonNegativeReals) + m.yfeed = Var(initialize=y, bounds=(0,0.5), within=NonNegativeReals) m.temp_bath.fix() diff --git a/pyomo/contrib/doe/get_sensitivity.py b/pyomo/contrib/doe/get_sensitivity.py deleted file mode 100644 index 02a5d7fcb27..00000000000 --- a/pyomo/contrib/doe/get_sensitivity.py +++ /dev/null @@ -1,286 +0,0 @@ -#import idaes -import pandas as pd -import numpy as np -from scipy import sparse -import pyomo.contrib.parmest.parmest as parmest -from pyomo.environ import * -from pyomo.opt import SolverFactory -import shutil -import logging - - -def get_sensitivity(model, theta_names, tee=True, solver_options=None): - ''' - Parameters - ---------- - model: Pyomo ConcreteModel - theta_names: list of strings - List of Var names - tee: bool, optional - Indicates that ef solver output should be teed - solver_options: dict, optional - Provides options to the solver (also the name of an attribute) - - Returns - ------- - gradient_f: numpy.ndarray - gradient vector of the objective function with respect to all decision variables at the optimal solution - gradient_c: numpy.ndarray - gradient vector of the constraints with respect to all decision variables at the optimal solution - Each row contains column number, row number, and value - If no constraint exists, return [] - line_dic: dict - column numbers of the theta_names in the model. Index starts from 1 - Raises - ------ - RuntimeError - When ipopt or kaug or dotsens is not available - Exception - When ipopt fails - ''' - #Create the solver plugin using the ASL interface - - ipopt = SolverFactory('ipopt',solver_io='nl') - ipopt.options['linear_solver']='ma57' - if solver_options is not None: - ipopt.options = solver_options - kaug = SolverFactory('k_aug',solver_io='nl') - dotsens = SolverFactory('dot_sens',solver_io='nl') - if not ipopt.available(False): - raise RuntimeError('ipopt is not available') - if not kaug.available(False): - raise RuntimeError('k_aug is not available') - if not dotsens.available(False): - raise RuntimeError('dotsens is not available') - - # Declare Suffixes - model.dual = Suffix(direction = Suffix.IMPORT) - model.ipopt_zL_out = Suffix(direction=Suffix.IMPORT) - model.ipopt_zU_out = Suffix(direction=Suffix.IMPORT) - model.ipopt_zL_in = Suffix(direction=Suffix.EXPORT) - model.ipopt_zU_in = Suffix(direction=Suffix.EXPORT) - - # K_AUG SUFFIXES - model.dof_v = Suffix(direction=Suffix.EXPORT) #: SUFFIX FOR K_AUG - model.rh_name = Suffix(direction=Suffix.IMPORT) #: SUFFIX FOR K_AUG AS WELL - kaug.options["print_kkt"] = "" - results = ipopt.solve(model,tee=tee) - - # Rasie Exception if ipopt fails - if (results.solver.status == pyomo.opt.SolverStatus.warning): - raise Exception(results.solver.Message) - - for o in model.component_objects(Objective, active=True): - f_mean = value(o) - model.ipopt_zL_in.update(model.ipopt_zL_out) - model.ipopt_zU_in.update(model.ipopt_zU_out) - #: run k_aug - kaug.solve(model, tee=tee) #: always call k_aug AFTER ipopt. - model.write('col_row.nl', format='nl', io_options={'symbolic_solver_labels':True}) - # get the column numbers of theta - line_dic = {} - for v in theta_names: - line_dic[v] = line_num('col_row.col', v) - # load gradient of the objective function - gradient_f = np.loadtxt("./GJH/gradient_f_print.txt") - # load gradient of all constraints (sparse) - # If no constraint exists, return [] - num_constraints = len(list(model.component_data_objects(Constraint, - active=True, - descend_into=True))) - if num_constraints > 0 : - gradient_c = np.loadtxt("./GJH/kkt_print.txt") - gradient_c = reorganize_kkt(gradient_c) - else: - gradient_c = np.array([]) - - # remove all generated files - #shutil.move("col_row.nl", "./GJH/") - #shutil.move("col_row.col", "./GJH/") - #shutil.move("col_row.row", "./GJH/") - #shutil.rmtree('GJH', ignore_errors=True) - return gradient_f, gradient_c, line_dic - - -def reorganize_kkt(gradient): - ''' - Reorganize information in kkt_print.txt to Jacobian matrix - ''' - jaco_kkt = np.zeros((27,4)) - - gra_dict={} - - for c in range(np.shape(gradient)[0]): - l = [] - l.append(gradient[c][0]) - l.append(gradient[c][1]) - gra_dict[tuple(l)] = gradient[c][2] - - for k in range(32,40): - jaco_kkt[k-31][0] = gra_dict[tuple([1,k])] - jaco_kkt[k-31][2] = gra_dict[tuple([3,k])] - - for q in range(40,48): - for x in range(4): - jaco_kkt[q-30][x] = gra_dict[tuple([x+1,q])] - - for l in range(48,56): - for t in range(4): - jaco_kkt[l-29][t] = gra_dict[tuple([t+1,l])] - return jaco_kkt - - -def get_sensitivity_original(model, theta_names, tee=True, solver_options=None): - ''' - Parameters - ---------- - model: Pyomo ConcreteModel - theta_names: list of strings - List of Var names - tee: bool, optional - Indicates that ef solver output should be teed - solver_options: dict, optional - Provides options to the solver (also the name of an attribute) - - Returns - ------- - gradient_f: numpy.ndarray - gradient vector of the objective function with respect to all decision variables at the optimal solution - gradient_c: numpy.ndarray - gradient vector of the constraints with respect to all decision variables at the optimal solution - Each row contains column number, row number, and value - If no constraint exists, return [] - line_dic: dict - column numbers of the theta_names in the model. Index starts from 1 - Raises - ------ - RuntimeError - When ipopt or kaug or dotsens is not available - Exception - When ipopt fails - ''' - #Create the solver plugin using the ASL interface - - ipopt = SolverFactory('ipopt',solver_io='nl') - ipopt.options['linear_solver']='ma57' - if solver_options is not None: - ipopt.options = solver_options - kaug = SolverFactory('k_aug',solver_io='nl') - dotsens = SolverFactory('dot_sens',solver_io='nl') - if not ipopt.available(False): - raise RuntimeError('ipopt is not available') - if not kaug.available(False): - raise RuntimeError('k_aug is not available') - if not dotsens.available(False): - raise RuntimeError('dotsens is not available') - - # Declare Suffixes - model.dual = Suffix(direction = Suffix.IMPORT) - model.ipopt_zL_out = Suffix(direction=Suffix.IMPORT) - model.ipopt_zU_out = Suffix(direction=Suffix.IMPORT) - model.ipopt_zL_in = Suffix(direction=Suffix.EXPORT) - model.ipopt_zU_in = Suffix(direction=Suffix.EXPORT) - - # K_AUG SUFFIXES - model.dof_v = Suffix(direction=Suffix.EXPORT) #: SUFFIX FOR K_AUG - model.rh_name = Suffix(direction=Suffix.IMPORT) #: SUFFIX FOR K_AUG AS WELL - kaug.options["print_kkt"] = "" - results = ipopt.solve(model,tee=tee) - - # Rasie Exception if ipopt fails - if (results.solver.status == pyomo.opt.SolverStatus.warning): - raise Exception(results.solver.Message) - - for o in model.component_objects(Objective, active=True): - f_mean = value(o) - model.ipopt_zL_in.update(model.ipopt_zL_out) - model.ipopt_zU_in.update(model.ipopt_zU_out) - #: run k_aug - kaug.solve(model, tee=tee) #: always call k_aug AFTER ipopt. - model.write('col_row.nl', format='nl', io_options={'symbolic_solver_labels':True}) - # get the column numbers of theta - line_dic = {} - for v in theta_names: - line_dic[v] = line_num('col_row.col', v) - # load gradient of the objective function - gradient_f = np.loadtxt("./GJH/gradient_f_print.txt") - # load gradient of all constraints (sparse) - # If no constraint exists, return [] - num_constraints = len(list(model.component_data_objects(Constraint, - active=True, - descend_into=True))) - if num_constraints > 0 : - gradient_c = np.loadtxt("./GJH/A_print.txt") - else: - gradient_c = np.array([]) - - # remove all generated files - #shutil.move("col_row.nl", "./GJH/") - #shutil.move("col_row.col", "./GJH/") - #shutil.move("col_row.row", "./GJH/") - #shutil.rmtree('GJH', ignore_errors=True) - return gradient_f, gradient_c, line_dic - -def line_num(file_name, target): - """This function returns the line number contains 'target' in the file_name - Parameters - ---------- - file_name: string - file name includes information of variabe order (col_row.col) - target: string - variable name to check - Returns - ------- - count: int - line number of target in the file_name - - Raises - ------ - Exception - When col_row.col doesnot include target - """ - with open(file_name) as f: - count = int(1) - for line in f: - if line.strip() == target: - return int(count) - count += 1 - return count - #raise Exception("col_row.col should includes target") - -def clean_variable_name(theta_names): - """This eunction removes all ' and spaces in theta_names. - Note: The current theta_est(calc_cov=True) of parmest in Pyomo - doesn't allow ' and spaces in the variable names - Parameters - ---------- - theta_names: list of strings - List of Var names - - Returns - ------- - theta_names_out: list of strings - List of Var names after removing all ' and spaces - var_dic: dict - dictionary with keys converted theta_names and values origianl theta_names - """ - - # Variable names cannot have "'" for parmest_class.theta_est(calc_cov=True) - # Save original variables name in to var_dic - # Remove all "'" and " " in theta_names - var_dic = {} - theta_names_out = [] - clean = False - for i in range(len(theta_names)): - if "'" in theta_names[i] or " " in theta_names[i] : - logger.warning(theta_names[i] + " includes ' or space.") - clean = True - theta_tmp = theta_names[i].replace("'", '') - theta_tmp = theta_tmp.replace(" ", '') - theta_names_out.append(theta_tmp) - var_dic[theta_tmp] = theta_names[i] - if clean: - logger.warning("All ' and spaces in theta_names are removed.") - - return theta_names_out, var_dic - diff --git a/pyomo/contrib/doe/k_aug.py b/pyomo/contrib/doe/k_aug.py deleted file mode 100644 index d046cd21164..00000000000 --- a/pyomo/contrib/doe/k_aug.py +++ /dev/null @@ -1,141 +0,0 @@ -# ______________________________________________________________________________ -# -# Pyomo: Python Optimization Modeling Objects -# Copyright 2017 National Technology and Engineering Solutions of Sandia, LLC -# Under the terms of Contract DE-NA0003525 with National Technology and -# Engineering Solutions of Sandia, LLC, the U.S. Government retains certain -# rights in this software. -# This software is distributed under the 3-clause BSD License -# ______________________________________________________________________________ -import os -from pyomo.environ import ( - SolverFactory, - ) -from pyomo.common.tempfiles import TempfileManager - - -debug_dir = "kaug_debug" -gjh_dir = "GJH" -# These are files we would like to save from a call to k_aug -# or dot_sens. Other files generated will still be deleted, -# but not saved on the K_augInterface object. -known_files = [ - "dsdp_in_.in", - "conorder.txt", - "timings_k_aug_dsdp.txt", - "dot_out.out", - "delta_p.out", - "timings_dot_driver_dsdp.txt", - os.path.join(debug_dir, "kkt.in"), - os.path.join(gjh_dir, "gradient_f_print.txt"), - os.path.join(gjh_dir, "A_print.txt"), - ] - - -class InTempDir(object): - - def __init__(self, suffix=None, prefix=None, dir=None): - self._suffix = suffix - self._prefix = prefix - self._dir = dir - - def __enter__(self): - self._cwd = os.getcwd() - # Add a new context - TempfileManager.push() - # Create a new tempdir in this context - self._tempdir = TempfileManager.create_tempdir( - suffix=self._suffix, - prefix=self._prefix, - dir=self._dir, - ) - os.chdir(self._tempdir) - - def __exit__(self, ex_type, ex_val, ex_bt): - os.chdir(self._cwd) - TempfileManager.pop() - - -class K_augInterface(object): - """ - k_aug and dot_sens store information in the user's filesystem, - some of which is mandatory for subsequent calls. - This class ensures that calls to these executables happen in - temporary directories. The resulting files are immediately read - and cached as attributes of this object, and the temporary - directories deleted. If we have cached files that can be used - by a subsequent call to k_aug or dot_sens, we write them just - before calling the executable, and they are deleted along with - the temporary directory. - - NOTE: only covers dsdp_mode for now. - """ - - def __init__(self, k_aug=None, dot_sens=None): - # The user may want to use their own k_aug/dot_sens solver - # objects, i.e. with custom options or executable. - if k_aug is None: - k_aug = SolverFactory("k_aug") - - # TODO: Remove this if/when we support RH mode. - k_aug.options["dsdp_mode"] = "" - if dot_sens is None: - dot_sens = SolverFactory("dot_sens") - - # TODO: Remove this if/when we support RH mode. - dot_sens.options["dsdp_mode"] = "" - - if k_aug.available(): - self._k_aug = k_aug - else: - raise RuntimeError("k_aug is not available.") - if dot_sens.available(): - self._dot_sens = dot_sens - else: - raise RuntimeError("dot_sens is not available") - - self.data = {fname: None for fname in known_files} - - def k_aug(self, model, **kwargs): - with InTempDir(): - # Assume that k_aug doesn't need any files as inputs - # (except the nl file, which is handled by solve). - - # Call k_aug - results = self._k_aug.solve(model, **kwargs) - - # Read any files we expect as output - for fname in known_files: - if os.path.exists(fname): - with open(fname, "r") as fp: - self.data[fname] = fp.read() - - return results - - def dot_sens(self, model, **kwargs): - with InTempDir(): - # Write cached files, some of which dot_sens may use as input - for fname, contents in self.data.items(): - if contents is not None: - with open(fname, "w") as fp: - fp.write(contents) - - # Call dot_sens - results = self._dot_sens.solve(model, **kwargs) - - # Read expected files, some of which may have been created - # or overwritten by dot_sens. - for fname in known_files: - if os.path.exists(fname): - with open(fname, "r") as fp: - self.data[fname] = fp.read() - - return results - - def set_k_aug_options(self, **options): - for key, val in options.items(): - self._k_aug.options[key] = val - - def set_dot_sens_options(self, **options): - for key, val in options.items(): - self._dot_sens.options[key] = val diff --git a/pyomo/contrib/doe/k_aug_examples/optimize.ipynb b/pyomo/contrib/doe/k_aug_examples/optimize.ipynb new file mode 100644 index 00000000000..c1be650083f --- /dev/null +++ b/pyomo/contrib/doe/k_aug_examples/optimize.ipynb @@ -0,0 +1,521 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "2630d624", + "metadata": {}, + "outputs": [], + "source": [ + "import pyomo.environ as pyo\n", + "import numpy as np\n", + "from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp, get_dfds_dcds\n", + "#from idaes.apps.uncertainty_propagation.uncertainties import propagate_uncertainty\n", + "#from idaes.apps.uncertainty_propagation.sens import get_dsdp" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "a6969107", + "metadata": {}, + "outputs": [], + "source": [ + "def create_model():\n", + " ### Create optimization model\n", + " m = pyo.ConcreteModel()\n", + " m.dual = pyo.Suffix(direction=pyo.Suffix.IMPORT)\n", + "\n", + " # Define variables\n", + " m.x1 = pyo.Var(bounds=(0,10))\n", + " m.x2 = pyo.Var(bounds=(0,10))\n", + " m.x3 = pyo.Var(bounds=(0,10))\n", + "\n", + " # Define parameters\n", + " #m.p1 = pyo.Param(initialize=10, mutable=True)\n", + " #m.p2 = pyo.Param(initialize=5, mutable=True)\n", + " # Important Tip: The uncertain parameters need to be defined at Pyomo variables\n", + " m.p1 = pyo.Var(initialize=10)\n", + " m.p2 = pyo.Var(initialize=5)\n", + " # Important Tip: We fix these to first solve with Ipopt. We unfix below\n", + " # before using the uncertainty propagation toolbox.\n", + " m.p1.setlb(10)\n", + " m.p1.setub(10)\n", + " m.p2.setlb(5)\n", + " m.p2.setub(5)\n", + "\n", + " # Define constraints\n", + " m.con1 = pyo.Constraint(expr=m.x1 + m.x2-m.p1==0)\n", + " m.con2 = pyo.Constraint(expr=m.x2 + m.x3-m.p2==0)\n", + "\n", + " # Define objective\n", + " m.obj = pyo.Objective(expr=m.p1*m.x1+ m.p2*(m.x2**2) + m.p1*m.p2, sense=pyo.minimize)\n", + " \n", + " return m \n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "7ecc2853", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: \n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 4\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 1\n", + "\n", + "Total number of variables............................: 3\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 3\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 2\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 5.0100500e+01 9.98e+00 3.30e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 2.1856190e+02 8.88e-16 5.05e+02 -1.0 5.15e+00 - 1.95e-03 1.00e+00h 1\n", + " 2 1.5593530e+02 0.00e+00 1.29e+01 -1.0 2.36e+00 - 6.72e-02 1.00e+00f 1\n", + " 3 1.4504572e+02 0.00e+00 1.63e-01 -1.0 1.38e+00 - 8.47e-01 1.00e+00f 1\n", + " 4 1.4500209e+02 0.00e+00 8.40e-16 -1.0 7.52e-02 - 1.00e+00 1.00e+00f 1\n", + " 5 1.4500000e+02 0.00e+00 1.60e-15 -2.5 1.95e-02 - 1.00e+00 1.00e+00f 1\n", + " 6 1.4500000e+02 0.00e+00 6.43e-16 -3.8 9.08e-04 - 1.00e+00 1.00e+00f 1\n", + " 7 1.4500000e+02 8.88e-16 1.18e-15 -5.7 2.61e-05 - 1.00e+00 1.00e+00f 1\n", + " 8 1.4500000e+02 0.00e+00 1.06e-15 -8.6 3.13e-07 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 8\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 1.4500000000000000e+02 1.4500000000000000e+02\n", + "Dual infeasibility......: 1.0648464902588984e-15 1.0648464902588984e-15\n", + "Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Complementarity.........: 2.5064815359838347e-09 2.5064815359838347e-09\n", + "Overall NLP error.......: 2.5064815359838347e-09 2.5064815359838347e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 9\n", + "Number of objective gradient evaluations = 9\n", + "Number of equality constraint evaluations = 9\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 9\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 8\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.003\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dot_in_.in\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]Unresolved sigma values, is the mu computation successful? or is this a square problem?\n", + "Check the sigma_out file with the PRINT_VERBOSE (cmake) option set to 0\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": print_kkt=\n", + "print_kkt=\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 5\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 2\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 3\n", + "I[K_AUG]...\t[ADJUST_MU]log10(mu) computed=-8.601046750216618 at var_i=0\n", + "I[K_AUG]...\t[ADJUST_MU]log10(mu) close to the target\t-8.600935491205588 at var_i=1\n", + "yes I hear you 1\n", + "W[k_aug]...\t[k_aug_asl]printing kkt matrix.\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 2, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 6\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 4\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 145.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 4\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]New folder created ./GJH !...\n", + "W[K_AUG]...\t[K_AUG_ASL]No n_rhs declared\n", + "W[K_AUG]...\t[K_AUG_ASL]Target log10mu:= -11.\n", + "W[K_AUG]...\t[K_AUG_ASL]No f_timestamp suffix declared, Fallback to default writing mode.\n", + "I[K_AUG]...\t[K_AUG_ASL] Filename for dot_sens dsdp_in_.in\n", + "W[K_AUG]...\t[K_AUG_ASL]dsdp for linear C(x) + I*p = 0 override.\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[2] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]is x[3] = xlb?\n", + "E[K_AUG]...\t[SIGMA_COMPUTE]Unresolved sigma values, is the mu computation successful? or is this a square problem?\n", + "Check the sigma_out file with the PRINT_VERBOSE (cmake) option set to 0\n", + "W[K_AUG]...\t[MA57_DRIVER]\n", + "\n", + "\t\tCould not fix the accuracy of the problem.\n", + "\t\tTry re-writing the problem or give a different point or change \"max_refinement_steps\"\n", + "\t\tWarning: results might be incorrect.\n", + "\t\tCurrent residual ratio 0.38223; Max residual ratio 1e-10.\n", + "\n", + "[K_AUG] written by D.T. @2018\n", + "\n", + ": dsdp_mode=\n", + "dsdp_mode=\n", + "I[K_AUG]...\t[K_AUG_ASL]File read succesfull\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of Right hand sides: 0\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of variables : 5\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of constraints : 4\n", + "I[K_AUG]...\t[K_AUG_ASL]Number of valid n_dof : 1\n", + "I[K_AUG]...\t[ADJUST_MU]log10(mu) computed=-8.601046750216618 at var_i=0\n", + "I[K_AUG]...\t[ADJUST_MU]log10(mu) close to the target\t-8.600935491205588 at var_i=1\n", + "I[K_AUG]...\t[FIND_INEQUALITIES]summary: eq: 4, leq: 0, geq: 0 \n", + "I[K_AUG]...\t[K_AUG_ASL]Nonzeroes in the sparse Jacobian 8\n", + "I[K_AUG]...\t[GET_HESS_ASL]Objective found\n", + "I[K_AUG]...\t[GET_HESS_ASL]Nonzeroes in the sparse hessian 4\n", + "I[K_AUG]...\t[GET_HESS_ASL]Minimization problem detected\n", + "I[K_AUG]...\t[GET_HESS_ASL]Current objective 145.000000\n", + "I[K_AUG]...\t[GET_HESS_ASL]Missing nz in the Hessian of the Lag: 4\n", + "I[K_AUG]...\t[K_AUG_ASL]Barrier term added.\n", + "I[K_AUG]...\t[K_AUG_ASL]MC19 scaling...\n", + "I[K_AUG]...\t[ASSM_RHS_DCDP]According to the suffixes declared len p is 2 \n", + "I[MA57]...\t[]***\n", + " Runtime parameters:\n", + " Objective type: METIS_OBJTYPE_CUT\n", + " Coarsening type: Unknown!\n", + " Initial partitioning type: Unknown!\n", + " Refinement type: Unknown!\n", + " Perform a 2-hop matching: No\n", + " Number of balancing constraints: 1\n", + " Number of refinement iterations: 183290035\n", + " Random number seed: 0\n", + " Number of separators: 32767\n", + " Compress graph prior to ordering: No\n", + " Detect & order connected components separately: No\n", + " Prunning factor for high degree vertices: 53753036.000000\n", + " Allowed maximum load imbalance: 1.515 \n", + "\n", + "Input Error: Incorrect objective type.\n", + " nbrpool statistics\n", + " nbrpoolsize: 0 nbrpoolcpos: 0\n", + " nbrpoolreallocs: 0\n", + "\n", + "I[MA57]...\t[ma57bd_]ma57ad_: Status Ok.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 4\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[Factorize Success.]***\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]: Ratio of norm of scaled residuals (reported); 3.822297e-01 \n", + "I[K_AUG]...\t[MA57_SOLVE]: The norm of residuals is larger than max ratio(computed)\n", + "I[K_AUG]...\t[MA57_SOLVE]: Attempting to reduce residuals\n", + "\n", + "W[K_AUG]...\t[MA57_SOLVE]Attempting to make dc > 0. (Jacobian regularization)\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_FACTOR]\n", + "W[MA57]...\t[MA57_FACTOR]always_pert_jacobian is on before fact\n", + "I[K_AUG]...\t[MA57_FACTOR]n_neig = 4\n", + "I[K_AUG]...\t[INERTIA_STRATEGY]Inertia check successful.\n", + "I[MA57]...\t[MA57_RATIO]\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy improvement tries 0, Trial pivtol 1e-06, Residual ratio 0.3822297176861677.\n", + "I[K_AUG]...\t[MA57_SOLVE]Accuracy is not improving.\n", + "\n", + "W[K_AUG]...\t[MA57_DRIVER]Inertia check OK neig=4, (neig == m).\n", + "I[K_AUG]...\t[K_AUG_ASL]Linear solver done. \n", + "I[K_AUG]...\t[K_AUG_ASL]Timings..Ev&Assem 0.000856, Fact 0.001175, Overall 0.001503.\n" + ] + } + ], + "source": [ + "variable_name = ['p1','p2']\n", + "#variable_name = ['x1','x2','x3','p1','p2']\n", + "\n", + "mod = create_model()\n", + "\n", + "\n", + "\n", + "#gradient_f, gradient_c, line_dic = get_sensitivity(mod, variable_name)\n", + "gradient_f, gradient_c, col,row, line_dic = get_dfds_dcds(mod, variable_name, tee=True)\n", + "## Run sensitivity toolbox\n", + "#sigma_p = np.array([[1, 0], [0, 1]])\n", + "#results = propagate_uncertainty(mod,{'p1':10, 'p2':5}, sigma_p, variable_name)\n", + "\n", + "dsdp_re, col = get_dsdp(mod, variable_name, {'p1':10, 'p2':5}, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "36d53dbe", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'results' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_42857/3318447597.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mvar_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdsdp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtoarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mvar_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'results' is not defined" + ] + } + ], + "source": [ + "var_idx = np.array([True,True,False,False,True])\n", + "print(results.dsdp.toarray()[var_idx,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b3639315", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 9.00000000e-01 2.00000000e-01]\n", + " [ 1.00000000e-01 -2.00000000e-01]\n", + " [ 1.00000000e+00 5.55111512e-17]\n", + " [ 0.00000000e+00 1.00000000e+00]\n", + " [-1.00000000e-01 1.20000000e+00]]\n", + " (0, 0)\t0.8999999997992688\n", + " (0, 1)\t0.19999999995630358\n", + " (1, 0)\t0.10000000020073119\n", + " (1, 1)\t-0.19999999995630352\n", + " (2, 0)\t1.0\n", + " (2, 1)\t5.551115123125783e-17\n", + " (3, 1)\t0.9999999999999999\n", + " (4, 0)\t-0.10000000020073119\n", + " (4, 1)\t1.1999999999563031\n", + "['x1', 'x2', 'p1', 'p2', 'x3']\n" + ] + } + ], + "source": [ + "\n", + "dsdp_array = dsdp_re.toarray().T\n", + "print(dsdp_array)\n", + "print(sparse.csr_matrix(dsdp_array))\n", + "print(col)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b4c7e437", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "18877727", + "metadata": {}, + "outputs": [], + "source": [ + "print((mod.x1()))\n", + "print((mod.x2()))\n", + "print((mod.x3()))\n", + "print((mod.p1()))\n", + "print((mod.p2()))\n", + "print((mod.obj()))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "d7d0a40b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[10. 10. 14. 11. 0.]\n" + ] + } + ], + "source": [ + "print(gradient_f)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "6871ca77", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " (0, 0)\t1.0\n", + " (0, 1)\t1.0\n", + " (0, 2)\t-1.0\n", + " (1, 1)\t1.0\n", + " (1, 3)\t-1.0\n" + ] + } + ], + "source": [ + "print(gradient_c)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dfbe121b", + "metadata": {}, + "outputs": [], + "source": [ + "print(col)\n", + "print(row)\n", + "print(line_dic)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79d734bd", + "metadata": {}, + "outputs": [], + "source": [ + "### Inspect solution\n", + "print(\"Numeric solution:\")\n", + "print(\"x1 =\",m.x1())\n", + "print(\"x2 =\",m.x2())\n", + "print(\"x3 =\",m.x3())\n", + "print(m.dual.display())\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "45358039", + "metadata": {}, + "outputs": [], + "source": [ + "def derivative_numerical(par):\n", + " ### Create optimization model\n", + " m = pyo.ConcreteModel()\n", + "\n", + " # Define variables\n", + " m.x1 = pyo.Var()\n", + " m.x2 = pyo.Var()\n", + " m.x3 = pyo.Var()\n", + "\n", + " # Define parameters\n", + " m.p1 = pyo.Param(initialize=par[0])\n", + " m.p2 = pyo.Param(initialize=par[1])\n", + "\n", + " # Define constraints\n", + " m.con1 = pyo.Constraint(expr=m.x1 + m.x2-m.p1==0)\n", + " m.con2 = pyo.Constraint(expr=m.x2 + m.x3-m.p2==0)\n", + " m.add = pyo.Constraint(expr=m.p1*m.x1+ m.p2*(m.x2**2) + m.p1*m.p2 == 145.0)\n", + " \n", + " return m " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "946903c1", + "metadata": {}, + "outputs": [], + "source": [ + "#scenario = [[10.1,5], [9.9,5], [10,5.05], [10,4.95]]\n", + "scenario = [[10,5], [9.9,5], [10,5], [10,4.95]]\n", + "#scenario = [[10,5]]\n", + "\n", + "x1_store = []\n", + "x2_store = []\n", + "x3_store = []\n", + "for j in scenario:\n", + " kitty = derivative_numerical(j)\n", + " solver = SolverFactory('ipopt')\n", + " solver.solver_options = 'ma57'\n", + " solver.solve(kitty,tee=True)\n", + " \n", + " print(value(kitty.p1))\n", + " print(value(kitty.p2)\n", + " \n", + " x1_store.append(value(kitty.x1))\n", + " x2_store.append(value(kitty.x2))\n", + " x3_store.append(value(kitty.x3))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "92aedf79", + "metadata": {}, + "outputs": [], + "source": [ + "print(x1_store)\n", + "print(x2_store)\n", + "print(x3_store)\n", + "\n", + "x1p1 = (x1_store[0]-x1_store[1])/0.1\n", + "x1p2 = (x1_store[2]-x1_store[3])/0.05\n", + "x2p1 = (x2_store[0]-x2_store[1])/0.1\n", + "x2p2 = (x2_store[2]-x2_store[3])/0.05\n", + "x3p1 = (x3_store[0]-x3_store[1])/0.1\n", + "x3p2 = (x3_store[2]-x3_store[3])/0.05\n", + "\n", + "print(x1p1)\n", + "print(x1p2)\n", + "print(x2p1)\n", + "print(x2p2)\n", + "print(x3p1)\n", + "print(x3p2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f9648e18", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyomo/contrib/doe/k_aug_examples/otpimize_example.ipynb b/pyomo/contrib/doe/k_aug_examples/otpimize_example.ipynb new file mode 100644 index 00000000000..dd94cbe1336 --- /dev/null +++ b/pyomo/contrib/doe/k_aug_examples/otpimize_example.ipynb @@ -0,0 +1,427 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "id": "c0688b98", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Numeric solution:\n", + "x1 = 9.0\n", + "x2 = 1.0\n", + "x3 = 4.0\n", + "dual : Direction=Suffix.IMPORT, Datatype=Suffix.FLOAT\n", + " Key : Value\n", + " con1 : 10.0\n", + " con2 : 0.0\n", + "None\n", + "\n", + "Analytic solution:\n", + "x1 = 9.0\n", + "x2 = 1.0\n", + "x3 = 4.0\n", + "v1 = 10\n", + "v2 = 0\n", + "\n", + "\n", + "dx/dp =\n", + " [[ 0.9 0.2]\n", + " [ 0.1 -0.2]\n", + " [-0.1 1.2]]\n", + "\n", + "\n", + "df/dx =\n", + " [10. 10. 0.]\n", + "\n", + "\n", + "df/dp =\n", + " [14. 11.]\n", + "\n", + "\n", + "dc/dx =\n", + " [[1. 1. 0.]\n", + " [0. 1. 1.]]\n", + "\n", + "\n", + "dc/dp =\n", + " [[-1. 0.]\n", + " [ 0. -1.]]\n", + "\n", + "sigma_f = 1273.0\n", + "\n", + "sigma_c = \n", + " [[0. 0.]\n", + " [0. 0.]]\n", + "\n", + "\n", + "\n", + "sigma_f (take 2) = 1273.0\n", + "sigma_c (take 2) = [[0. 0.]\n", + " [0. 0.]]\n" + ] + }, + { + "ename": "AssertionError", + "evalue": "\nArrays are not almost equal to 6 decimals\n\nMismatched elements: 1 / 4 (25%)\nMax absolute difference: 1.46\nMax relative difference: inf\n x: array([[0. , 0. ],\n [0. , 1.46]])\n y: array(0.)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_21944/3823211263.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 284\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 285\u001b[0m \u001b[0;31m# Check the uncertainty propagation results for the constrains matches\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 286\u001b[0;31m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtesting\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0massert_array_almost_equal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpropagation_c\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msigma_c\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 287\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 288\u001b[0m \u001b[0;31m# Check the uncertainty propagation results for the objective matches\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + " \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n", + "\u001b[0;32m~/anaconda3/envs/pyomo_dev2/lib/python3.9/site-packages/numpy/testing/_private/utils.py\u001b[0m in \u001b[0;36massert_array_compare\u001b[0;34m(comparison, x, y, err_msg, verbose, header, precision, equal_nan, equal_inf)\u001b[0m\n\u001b[1;32m 842\u001b[0m \u001b[0mverbose\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mverbose\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheader\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mheader\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 843\u001b[0m names=('x', 'y'), precision=precision)\n\u001b[0;32m--> 844\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mAssertionError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 845\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 846\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mtraceback\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAssertionError\u001b[0m: \nArrays are not almost equal to 6 decimals\n\nMismatched elements: 1 / 4 (25%)\nMax absolute difference: 1.46\nMax relative difference: inf\n x: array([[0. , 0. ],\n [0. , 1.46]])\n y: array(0.)" + ] + } + ], + "source": [ + "#################################################################################\n", + "# The Institute for the Design of Advanced Energy Systems Integrated Platform\n", + "# Framework (IDAES IP) was produced under the DOE Institute for the\n", + "# Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021\n", + "# by the software owners: The Regents of the University of California, through\n", + "# Lawrence Berkeley National Laboratory, National Technology & Engineering\n", + "# Solutions of Sandia, LLC, Carnegie Mellon University, West Virginia University\n", + "# Research Corporation, et al. All rights reserved.\n", + "#\n", + "# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and\n", + "# license information.\n", + "#################################################################################\n", + "\n", + "'''\n", + "Consider the following optimization problem.\n", + "min f: p1*x1+ p2*(x2^2) + p1*p2\n", + " s.t c1: x1 + x2 = p1\n", + " c2: x2 + x3 = p2\n", + " 0 <= x1, x2, x3 <= 10\n", + " p1 = 10\n", + " p2 = 5\n", + "Variables = (x1, x2, x3)\n", + "Parameters (fixed variables) = (p1, p2)\n", + "'''\n", + "\n", + "import pyomo.environ as pyo\n", + "import numpy as np\n", + "#import pytest\n", + "from idaes.apps.uncertainty_propagation.uncertainties import propagate_uncertainty\n", + "\n", + "if __name__ == \"__main__\":\n", + "\n", + " ### Create optimization model\n", + " m = pyo.ConcreteModel()\n", + " m.dual = pyo.Suffix(direction=pyo.Suffix.IMPORT)\n", + "\n", + " # Define variables\n", + " # m.x1 = pyo.Var(bounds=(0,10))\n", + " # m.x2 = pyo.Var(bounds=(0,10))\n", + " # m.x3 = pyo.Var(bounds=(0,10))\n", + "\n", + " m.x1 = pyo.Var()\n", + " m.x2 = pyo.Var()\n", + " m.x3 = pyo.Var()\n", + "\n", + "\n", + "\n", + " # Define parameters\n", + " # m.p1 = pyo.Param(initialize=10, mutable=True)\n", + " # m.p2 = pyo.Param(initialize=5, mutable=True)\n", + " # Important Tip: The uncertain parameters need to be defined at Pyomo variables\n", + " m.p1 = pyo.Var(initialize=10)\n", + " m.p2 = pyo.Var(initialize=5)\n", + " # Important Tip: We fix these to first solve with Ipopt. We unfix below\n", + " # before using the uncertainty propagation toolbox.\n", + " m.p1.fix()\n", + " m.p2.fix()\n", + "\n", + " # Define constraints\n", + " m.con1 = pyo.Constraint(expr=m.x1 + m.x2-m.p1==0)\n", + " m.con2 = pyo.Constraint(expr=m.x2 + m.x3-m.p2==0)\n", + "\n", + " # Define objective\n", + " m.obj = pyo.Objective(expr=m.p1*m.x1+ m.p2*(m.x2**2) + m.p1*m.p2, sense=pyo.minimize)\n", + "\n", + " ### Solve optimization model\n", + " opt = pyo.SolverFactory('ipopt',tee=True)\n", + " opt.solve(m)\n", + "\n", + "\n", + " ### Inspect solution\n", + " print(\"Numeric solution:\")\n", + " print(\"x1 =\",m.x1())\n", + " print(\"x2 =\",m.x2())\n", + " print(\"x3 =\",m.x3())\n", + " print(m.dual.display())\n", + "\n", + " ### Analytic solution\n", + " '''\n", + " At the optimal solution, none of the bounds are active. As long as the active set\n", + " does not change (i.e., none of the bounds become active), the\n", + " first order optimality conditions reduce to a simple linear system.\n", + " '''\n", + "\n", + " # dual variables (multipliers)\n", + " v2_ = 0\n", + " v1_ = m.p1()\n", + "\n", + " # primal variables\n", + " x2_ = (v1_ + v2_)/(2 * m.p2())\n", + " x1_ = m.p1() - x2_\n", + " x3_ = m.p2() - x2_\n", + "\n", + " print(\"\\nAnalytic solution:\")\n", + " print(\"x1 =\",x1_)\n", + " print(\"x2 =\",x2_)\n", + " print(\"x3 =\",x3_)\n", + " print(\"v1 =\",v1_)\n", + " print(\"v2 =\",v2_)\n", + " \n", + " ### Analytic sensitivity\n", + " '''\n", + " Using the analytic solution above, we can compute the sensitivies of x and v to\n", + " perturbations in p1 and p2.\n", + " The matrix dx_dp constains the sensitivities of x to perturbations in p\n", + " ''' \n", + "\n", + " # Initialize sensitivity matrix Nx x Np\n", + " # Rows: variables x\n", + " # Columns: parameters p\n", + " dx_dp = np.zeros((3,2))\n", + "\n", + " # dx2/dp1 = 1/(2 * p2)\n", + " dx_dp[1, 0] = 1/(2*m.p2())\n", + "\n", + " # dx2/dp2 = -(v1 + v2)/(2 * p2**2)\n", + " dx_dp[1,1] = -(v1_ + v2_)/(2 * m.p2()**2)\n", + "\n", + " # dx1/dp1 = 1 - dx2/dp1\n", + " dx_dp[0, 0] = 1 - dx_dp[1,0]\n", + "\n", + " # dx1/dp2 = 0 - dx2/dp2\n", + " dx_dp[0, 1] = 0 - dx_dp[1,1]\n", + "\n", + " # dx3/dp1 = 1 - dx2/dp1\n", + " dx_dp[2, 0] = 0 - dx_dp[1,0]\n", + "\n", + " # dx3/dp2 = 0 - dx2/dp2\n", + " dx_dp[2, 1] = 1 - dx_dp[1,1]\n", + "\n", + " print(\"\\n\\ndx/dp =\\n\",dx_dp)\n", + "\n", + "\n", + " '''\n", + " Similarly, we can compute the gradients df_dx, df_dp\n", + " and Jacobians dc_dx, dc_dp\n", + " '''\n", + "\n", + " # Initialize 1 x 3 array to store (\\partial f)/(\\partial x)\n", + " # Elements: variables x\n", + " df_dx = np.zeros(3)\n", + "\n", + " # df/dx1 = p1\n", + " df_dx[0] = m.p1()\n", + "\n", + " # df/dx2 = p2\n", + " df_dx[1] = 2 * m.p2() * x2_\n", + "\n", + " # df/dx3 = 0\n", + "\n", + " print(\"\\n\\ndf/dx =\\n\",df_dx)\n", + "\n", + " # Initialize 1 x 2 array to store (\\partial f)/(\\partial p)\n", + " # Elements: parameters p\n", + " df_dp = np.zeros(2)\n", + "\n", + " # df/dxp1 = x1 + p2\n", + " df_dp[0] = x1_ + m.p2()\n", + "\n", + " # df/dp2 = x2**2 + p1\n", + " df_dp[1] = x2_**2 + m.p1()\n", + "\n", + " print(\"\\n\\ndf/dp =\\n\",df_dp)\n", + "\n", + " # Initialize 2 x 3 array to store (\\partial c)/(\\partial x)\n", + " # Rows: constraints c\n", + " # Columns: variables x\n", + " dc_dx = np.zeros((2,3))\n", + "\n", + " # dc1/dx1 = 1\n", + " dc_dx[0,0] = 1\n", + "\n", + " # dc1/dx2 = 1\n", + " dc_dx[0,1] = 1\n", + "\n", + " # dc2/dx2 = 1\n", + " dc_dx[1,1] = 1\n", + "\n", + " # dc2/dx3 = 1\n", + " dc_dx[1,2] = 1\n", + "\n", + " # Remaining entries are 0\n", + "\n", + " print(\"\\n\\ndc/dx =\\n\",dc_dx)\n", + "\n", + " # Initialize 2 x 2 array to store (\\partial c)/(\\partial x)\n", + " # Rows: constraints c\n", + " # Columns: variables x\n", + " dc_dp = np.zeros((2,2))\n", + "\n", + " # dc1/dp1 = -1\n", + " dc_dp[0,0] = -1\n", + "\n", + " # dc2/dp2 = -1\n", + " dc_dp[1,1] = -1\n", + "\n", + " # Remaining entries are 0\n", + "\n", + " print(\"\\n\\ndc/dp =\\n\",dc_dp)\n", + "\n", + " ### Uncertainty propagation\n", + " '''\n", + " Now lets test the uncertainty propagation package. We will assume p has covariance\n", + " sigma_p = [[2, 0], [0, 1]]\n", + " '''\n", + "\n", + " ## Prepare inputs\n", + "\n", + " # Covariance matrix\n", + " sigma_p = np.array([[2, 0], [0, 1]])\n", + "\n", + " # Nominal values for uncertain parameters\n", + " theta = {'p1':m.p1(), 'p2':m.p2()}\n", + "\n", + " # Names of uncertain parameters\n", + " theta_names = ['p1','p2']\n", + "\n", + " # Important to unfix the parameters!\n", + " # Otherwise k_aug will complain about too few degrees of freedom\n", + " m.p1.unfix()\n", + " m.p2.unfix()\n", + "\n", + " ## Run sensitivity toolbox\n", + " results = propagate_uncertainty(m, theta, sigma_p, theta_names)\n", + "\n", + " ## Compute uncertainty propagation by hand\n", + " # We now compute the expected result with our \n", + " # analytic solution.\n", + "\n", + " # Take 1: use the formula in the documentation\n", + " tmp_f = (df_dp + df_dx @ dx_dp)\n", + " sigma_f = tmp_f @ sigma_p @ tmp_f.transpose()\n", + " print(\"\\nsigma_f = \",sigma_f)\n", + "\n", + " tmp_c = (dc_dp + dc_dx @ dx_dp)\n", + " sigma_c = tmp_c @ sigma_p @ tmp_c.transpose()\n", + " print(\"\\nsigma_c = \\n\",sigma_c)\n", + "\n", + " # Take 2: use an equivalent formula\n", + " print(\"\\n\\n\")\n", + " grad_f = np.hstack((df_dx, df_dp))\n", + " dsdp = np.vstack((dx_dp,np.eye(2)))\n", + " sigma_f_take_2 = grad_f @ dsdp @ sigma_p @ dsdp.transpose() @ grad_f.transpose()\n", + " # This matches\n", + " print(\"sigma_f (take 2) = \",sigma_f_take_2)\n", + "\n", + " dc_ds = np.hstack((dc_dx, dc_dp))\n", + " sigma_c_take_2 = dc_ds @ dsdp @ sigma_p @ dsdp.transpose() @ dc_ds.transpose()\n", + " # This matches\n", + " print(\"sigma_c (take 2) = \",sigma_c_take_2)\n", + "\n", + "\n", + " ## Check results\n", + " # We now check the results for the uncertainty propagation toolbox\n", + "\n", + " # Check the order from the uncertainty propagation toolbox is as expected\n", + " # TODO: make this test more automated to use this information\n", + " # to reshuffle the analytic solution\n", + " assert results.col == ['x1', 'x2', 'p1', 'p2', 'x3']\n", + " assert results.row == ['con1', 'con2', 'obj']\n", + "\n", + " # Define indices to compare results to analytic solution\n", + " # TODO: make this more robust to use the results above\n", + " var_idx = np.array([True,True,False,False,True])\n", + " theta_idx = np.array([False,False,True,True,False])\n", + "\n", + " # Check the gradient of the objective w.r.t. x matches\n", + " np.testing.assert_array_almost_equal(results.gradient_f[var_idx], np.array(df_dx))\n", + "\n", + " # Check the gradient of the objective w.r.t. p (parameters) matches\n", + " np.testing.assert_array_almost_equal(results.gradient_f[theta_idx], np.array(df_dp))\n", + "\n", + " # Check the Jacobian of the constraints w.r.t. x matches\n", + " #np.testing.assert_array_almost_equal(results.gradient_c.toarray()[:, var_idx], np.array(dc_dx))\n", + "\n", + " # Check the Jacobian of the constraints w.r.t. p (parameters) matches\n", + " #np.testing.assert_array_almost_equal(results.gradient_c.toarray()[:, theta_idx], np.array(dc_dp))\n", + "\n", + " # Check the NLP sensitivity results for the variables (x) matches\n", + " np.testing.assert_array_almost_equal(results.dsdp.toarray()[var_idx,:], np.array(dx_dp))\n", + " \n", + "\n", + " # Check the NLP sensitivity results for the parameters (p) matches\n", + " np.testing.assert_array_almost_equal(results.dsdp.toarray()[theta_idx,:], np.array([[1,0],[0,1]]))\n", + "\n", + " # Check the uncertainty propagation results for the constrains matches\n", + " np.testing.assert_array_almost_equal(results.propagation_c,np.sum(sigma_c))\n", + "\n", + " # Check the uncertainty propagation results for the objective matches\n", + " assert results.propagation_f == pytest.approx(sigma_f)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f8c817c8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 0.9 0.2]\n", + " [ 0.1 -0.2]\n", + " [-0.1 1.2]]\n", + "[[ 1.00000000e+00 -5.55111512e-17]\n", + " [-2.22044605e-16 1.00000000e+00]]\n" + ] + } + ], + "source": [ + "print(results.dsdp.toarray()[var_idx,:])\n", + "print(results.dsdp.toarray()[theta_idx,:])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bef7cdcb", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyomo/contrib/doe/priors/20210916_feed293_bath293_5e3.csv b/pyomo/contrib/doe/priors/20210916_feed293_bath293_5e3.csv new file mode 100644 index 00000000000..ff00a3d8afe --- /dev/null +++ b/pyomo/contrib/doe/priors/20210916_feed293_bath293_5e3.csv @@ -0,0 +1,1381 @@ +,time,position,den_N2,den_CO2,dcdt_N2,dcdt_CO2,vel,pressure,temp,dTdt,nplin,total_den,solid_pres,nchem_eq,nphys_eq,dndt_chem,dndt_phys,nchem,nphys,fco2_k,den_N2_k,den_CO2_k,dcdt_N2_k,dcdt_CO2_k,vel_k,pressure_k,temp_k,total_den_k,solid_pres_k,nchem_eq_k,nphys_eq_k,dndt_chem_k,dndt_phys_k,nchem_k,nphys_k,fco2_u,den_N2_u,den_CO2_u,dcdt_N2_u,dcdt_CO2_u,vel_u,pressure_u,temp_u,total_den_u,solid_pres_u,nchem_eq_u,nphys_eq_u,dndt_chem_u,dndt_phys_u,nchem_u,nphys_u,fco2_f,den_N2_f,den_CO2_f,dcdt_N2_f,dcdt_CO2_f,vel_f,pressure_f,temp_f,total_den_f,solid_pres_f,nchem_eq_f,nphys_eq_f,dndt_chem_f,dndt_phys_f,nchem_f,nphys_f 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pyomo.contrib.sensitivity_toolbox.sens import get_dsdp -#from idaes.apps.uncertainty_propagation.sens import get_dsdp - - -''' -This is a minimal example of a Pyomo.DAE problem. - -Consider two chemical reactions that converts molecule $A$ to desired product $B$ and a less valuable side-product $C$. - -$A \overset{k_1}{\rightarrow} B \overset{k_2}{\rightarrow} C$ - - -The concenrations in a batch reactor evolve with time per the following differential equations: - -$$ \frac{d C_A}{dt} = r_A = -k_1 C_A $$ - -$$ \frac{d C_B}{dt} = r_B = k_1 C_A - k_2 C_B $$ - -$$ \frac{d C_C}{dt} = r_C = k_2 C_B $$ - -This is a linear system of differential equations. Assuming the feed is only species $A$, i.e., - -$$C_A(t=0) = C_{A0} \quad C_B(t=0) = 0 \quad C_C(t=0) = 0$$ - -Measurements (s) in this problem: CA, CB, CC - -Parameters (p): A1, A2, E1, E2 - -Dynamic variable: T (temperature). When T is constant, we have analytical solution to ds/dp. - -This problem is integrated by Pyomo.DAE. We use the get_dsdp() function to achieve the partial derivative ds/dp -''' - -def create_model(CA_init=5, T_init=300): - '''Create the model with Pyomo.DAE - ''' - # parameters initialization - theta_p = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} - - ### add variable - m= ConcreteModel() - - ### Define sets and expressions - # timepoint - m.t = ContinuousSet(bounds=(0.0,1)) - # control time points - m.t_con = Set(initialize=[0,0.125,0.25,0.375,0.5,0.625,0.75,0.875,1]) - - m.CA0 = Var(initialize = CA_init, bounds=(1.0,5.0), within=NonNegativeReals) # mol/L - m.CA0.fix() - - m.T = Var(m.t, initialize = T_init, bounds=(300, 700), within=NonNegativeReals) - - # ideal gas constant - m.R = 8.31446261815324 # J / K / mol - - # parameters - m.A1 = Var(initialize = theta_p['A1']) - m.A2 = Var(initialize = theta_p['A2']) - m.E1 = Var(initialize = theta_p['E1']) - m.E2 = Var(initialize = theta_p['E2']) - - # Concentration of A, B, and C [mol/L] - m.CA = Var( m.t, initialize=0.0, within=NonNegativeReals) - m.CB = Var( m.t, initialize=0.0, within=NonNegativeReals) - m.CC = Var( m.t, initialize=0.0, within=NonNegativeReals) - - # time derivative of C - m.dCAdt = DerivativeVar(m.CA, wrt=m.t) - m.dCBdt = DerivativeVar(m.CB, wrt=m.t) - m.dCCdt = DerivativeVar(m.CC, wrt=m.t) - - # state variables (rate constants) - def cal_kp1(m,t): - return m.A1*exp(-m.E1*1000/(m.R*m.T[t])) - - def cal_kp2(m,t): - return m.A2*exp(-m.E2*1000/(m.R*m.T[t])) - - m.kp1 = Expression(m.t, rule = cal_kp1 ) # 1/hr - m.kp2 = Expression(m.t, rule = cal_kp2 ) - - - # Calculate model response variables - def CA_conc(m,t): - return m.dCAdt[t] == -m.kp1[t]*m.CA[t] - - def CB_conc(m,t): - return m.dCBdt[t] == m.kp1[t]*m.CA[t] - m.kp2[t]*m.CB[t] - - def CC_conc(m,t): - return m.CC[t] == m.CA0 - m.CA[t] - m.CB[t] - - # add constraints - m.dCAdt_rule = Constraint( m.t, rule=CA_conc) - m.dCBdt_rule = Constraint(m.t, rule=CB_conc) - m.dCCdt_rule = Constraint(m.t, rule=CC_conc) - - m.Obj = Objective(rule=0, sense=maximize) - - # initial state - m.CB[0.0].fix(0.0) - m.CC[0.0].fix(0.0) - - # fix parameters - m.A1.setlb(theta_p['A1']) - m.A2.setlb(theta_p['A2']) - m.E1.setlb(theta_p['E1']) - m.E2.setlb(theta_p['E2']) - m.A1.setub(theta_p['A1']) - m.A2.setub(theta_p['A2']) - m.E1.setub(theta_p['E1']) - m.E2.setub(theta_p['E2']) - - return m - -# ### DAE model - - -def discretizer(m, NFE=32): - discretizer = TransformationFactory('dae.collocation') - discretizer.apply_to(m, nfe=NFE, ncp=3, wrt=m.t) - return m - -if __name__ == '__main__': - sigma_p = np.array([[1, 0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0, 1]]) - - variable_name = ['A1', 'A2', 'E1', 'E2'] - theta_p = {'A1': 84.79085853498033, 'A2': 371.71773413976416, 'E1': 7.777032028026428, 'E2': 15.047135137500822} - - # create model - model_un = create_model(CA_init=5, T_init=300) - # use pyomo.DAE - model_un = discretizer(model_un) - model_un.T.fix() - - # call get_dsdp() - import pyomo.environ as pyo - ipopt = pyo.SolverFactory("ipopt") - ipopt.solve(model_un, tee=False) - dsdp_re, col = get_dsdp(model_un, variable_name, theta_p, tee=False) - - # organize results - dsdp_array = dsdp_re.toarray().T - - timepoint = [0.125,0.25,0.375,0.5,0.625,0.75,0.875,1] - index_list = [] - - ### extract dCA/dp, dCB/dp and dCC/dp from all columns - measure_name = [] - for cname in ['CA', 'CB', 'CC']: - for tim in timepoint: - gene_name = cname+'['+str(tim)+']' - measure_name.append(gene_name) - - # from the given column names by get_dsdp(), find columns we are interested - for itera in range(len(measure_name)): - no = col.index(measure_name[itera]) - index_list.append(no) - - # extract dCA/dp, dCB/dp and dCC/dp - dsdp_extract = [] - for kk in index_list: - dsdp_extract.append(dsdp_array[kk]) - - # organize results in a dictionary - jac = {} - jac['dC/dA1'] = [] - jac['dC/dA2'] = [] - jac['dC/dE1'] = [] - jac['dC/dE2'] = [] - - for d in range(len(dsdp_extract)): - jac['dC/dA1'].append(dsdp_extract[d][0]) - jac['dC/dA2'].append(dsdp_extract[d][1]) - jac['dC/dE1'].append(dsdp_extract[d][2]) - jac['dC/dE2'].append(dsdp_extract[d][3]) - - print('======Pyomo.DAE and get_dsdp() solution======') - print(jac) - -def analytical_calc(CA_init=5, T_init=300): - '''This functions calculates the dsdp analytically - ''' - time = [0.125,0.25,0.375,0.5,0.625,0.75,0.875,1] - - # time - T = np.ones((8))*T_init - k1 = np.zeros((8)) - k2 = np.zeros((8)) - CA = np.zeros((8)) - CB = np.zeros((8)) - CC = np.zeros((8)) - - # dsdp - dCAdA1 = np.zeros((8)) - dCAdE1 = np.zeros((8)) - dCAdA2 = np.zeros((8)) - dCAdE2 = np.zeros((8)) - dCBdA1 = np.zeros((8)) - dCBdE1 = np.zeros((8)) - dCBdA2 = np.zeros((8)) - dCBdE2 = np.zeros((8)) - dCCdA1 = np.zeros((8)) - dCCdE1 = np.zeros((8)) - dCCdA2 = np.zeros((8)) - dCCdE2 = np.zeros((8)) - - R = 8.31446261815324 - - # parameters - A1 = 84.79085853498033 - A2 = 371.71773413976416 - E1 = 7.777032028026428 - E2 = 15.047135137500822 - - for i in range(8): - # state variables - k1[i] = A1*np.exp(-E1*1000/R/T[i]) - k2[i] = A2*np.exp(-E2*1000/R/T[i]) - CA[i] = CA_init*np.exp(-k1[i]*time[i]) - CB[i] = k1[i]/(k2[i]-k1[i]) * CA_init * (np.exp(-k1[i]*time[i]) - np.exp(-k2[i]*time[i])) - CC[i] = CA_init - CA[i] - CB[i] - - # dCA/dp - dCAdA1[i] = -CA_init * time[i] * np.exp(-k1[i]*time[i]-1000*E1/(R*T[i])) - dCAdE1[i] = CA_init * A1* time[i]*1000/R/T[i] * np.exp(-k1[i]*time[i] - E1*1000/R/T[i]) - dCAdA2[i] = 0 - dCAdE2[i] = 0 - - # dCB/dp - item1 = k2[i]/(k2[i] - k1[i])/(k2[i]-k1[i])*np.exp(-E1*1000/R/T[i]) - item2 = -time[i]*np.exp(-k1[i]*time[i] - E1*1000/R/T[i]) - dCBdA1[i] = item1*CA_init*np.exp(-k1[i]*time[i]) + k1[i]/(k2[i]-k1[i])*CA_init*item2 - CA_init*np.exp(-k2[i]*time[i])*item1 - - item3 = -k1[i]/(k2[i] -k1[i])/(k2[i]-k1[i])*np.exp(-E2*1000/R/T[i]) - item4 = -time[i]*np.exp(-k2[i]*time[i]-E2*1000/R/T[i]) - dCBdA2[i] = item3*CA_init*np.exp(-k1[i]*time[i]) - item3*CA_init*np.exp(-k2[i]*time[i])-k1[i]/(k2[i]-k1[i])*CA_init*item4 - - item5 = -k2[i]/(k2[i]-k1[i])/(k2[i]-k1[i])*A1*1000/R/T[i]*np.exp(-E1*1000/R/T[i]) - item6 = A1*1000*time[i]/R/T[i] * np.exp(-k1[i]*time[i] - E1*1000/R/T[i]) - dCBdE1[i] = item5*CA_init*np.exp(-k1[i]*time[i]) + k1[i]/(k2[i]-k1[i])*CA_init*item6 -item5*CA_init*np.exp(-k2[i]*time[i]) - - item7 = k1[i]*A2*1000/(k2[i]-k1[i])/(k2[i]-k1[i])/R/T[i]*np.exp(-E2*1000/R/T[i]) - item8 = A2*1000*time[i]/R/T[i]*np.exp(-k2[i]*time[i] - E2*1000/R/T[i]) - dCBdE2[i] = item7*CA_init*np.exp(-k1[i]*time[i]) - k1[i]/(k2[i]-k1[i])*CA_init*item8 - item7*CA_init*np.exp(-k2[i]*time[i]) - - # dCC/dp - dCCdA1[i] = -dCAdA1[i] - dCBdA1[i] - dCCdE1[i] = -dCAdE1[i] - dCBdE1[i] - dCCdA2[i] = -dCAdA2[i] - dCBdA2[i] - dCCdE2[i] = -dCAdE2[i] - dCBdE2[i] - - # organize dsdp - jac={} - jac['dC/dA1']= np.concatenate((dCAdA1, dCBdA1, dCCdA1)) - jac['dC/dA2']= np.concatenate((dCAdA2, dCBdA2, dCCdA2)) - jac['dC/dE1']= np.concatenate((dCAdE1, dCBdE1, dCCdE1)) - jac['dC/dE2']= np.concatenate((dCAdE2, dCBdE2, dCCdE2)) - - return jac - -print('=====Analytical solution for dsdp======') -jac_analytic = analytical_calc() -print(jac_analytic) diff --git a/pyomo/contrib/doe/scenario_simultaneous b/pyomo/contrib/doe/scenario_simultaneous deleted file mode 100644 index 8aeb88737dee5037c9dabc4cff30066406f0d1ec..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 551 zcmZo*nJUA?00y;FG5*D9{2J6KDa93ACWx zw9})0!4z+x1u#*d1yCl?0#~>XeS|G2yVI7b)W2KntLvAPe9=(34P-I3oKQWC4r`v;f8gTA(L?E$Z67ecnI|V4^?^ zU`(I|FecCfJ%QY78*9}|dpNTalXWxmQc^2GA(g=x3yKeKmedSp5R1{9H8q13#A5Ph zOU+;hv6#KtQ%if;Qwxf96O)P|y4>xLZn@Qy5hRzv>~8=3l%?)H-#;0w?)Lq+&MUX& u*krJ~+t0hm;ni#?RocTqzz8zazkW^Wd6R&O?t*?IspShYt0 diff --git a/pyomo/contrib/doe/test_heatmap.csv b/pyomo/contrib/doe/test_heatmap.csv deleted file mode 100644 index ce0d664364e..00000000000 --- a/pyomo/contrib/doe/test_heatmap.csv +++ /dev/null @@ -1,82 +0,0 @@ -CA0,T,A,D,E,ME 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-5.0,550.0,1149.9942239666602,513457.73332985496,0.8647438687939714,1009.1058026575346 -5.0,600.0,1117.6516817520446,454513.4022363459,0.797079736250643,1059.8020440028154 -5.0,650.0,1097.0815502415053,390533.18910512136,0.7286979680089886,1134.999224882425 -5.0,700.0,1083.6008538699039,330585.6545187232,0.6727718824477692,1212.3903097956108 From d40a618f6301759ded57ab6ff60f6ee47c584b82 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Tue, 5 Oct 2021 17:41:28 -0400 Subject: [PATCH 41/42] combine measurement indexes --- pyomo/contrib/doe/fim_doe.py | 18 +- pyomo/contrib/doe/fixed_bed_doe.ipynb | 2282 +++++++++---------- pyomo/contrib/doe/reactor_control_doe.ipynb | 600 ++++- 3 files changed, 1647 insertions(+), 1253 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index add348c2632..77c6c20dfd5 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -11,7 +11,7 @@ from pyomo.contrib.sensitivity_toolbox.sens import get_dsdp class DesignOfExperiments: - def __init__(self, param_init, design_variable_timepoints, measurement_variables, measurement_timeset, create_model, solver=None, + def __init__(self, param_init, design_variable_timepoints, measurement_variable_timepoints, create_model, solver=None, prior_FIM=None, discretize_model=None, verbose=True, args=None, measurement_extra_index=None): ''' This package enables model-based design of experiments analysis with Pyomo. Both direct optimization and enumeration modes are supported. @@ -23,6 +23,7 @@ def __init__(self, param_init, design_variable_timepoints, measurement_variables param_init: a dictionary of parameter names and values. If they are an indexed variable, put the variable name and index, such as 'theta["A1"]'. Note: if sIPOPT is used, parameter shouldn't be indexed. design_variable_timepoints: a dictionary, keys are design variable names, values are its control time points. if this design var is independent of time (constant), set the time to [0] + measurement_variable_timepoints: a dictionary, keys are measurement variable names, value are its measuring time points measurement_variables: the variable name of the model output, for e.g., ['CA', 'CB', 'CC']. measurement_timeset: a list of measurement time points. can be different from control time points create_model: a function that returns the model, where: @@ -49,9 +50,10 @@ def __init__(self, param_init, design_variable_timepoints, measurement_variables # the control time point for each design variable self.design_time = list(self.design_timeset.values()) # model output (measurement) name - self.measurement_variables = measurement_variables + self.measurement_variable_timepoints = measurement_variable_timepoints + self.measurement_variables = list(measurement_variable_timepoints.keys()) # model measurement time - self.measurement_timeset = measurement_timeset + self.measurement_timeset = list(measurement_variable_timepoints.values()) # create_model() self.create_model = create_model self.args = args @@ -378,12 +380,12 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No output_combine = [] for j in self.measurement_variables: if self.measurement_extra_index is None: - for t in self.measurement_timeset: + for t in self.measurement_variable_timepoints[j]: C_value = eval('mod.' + j + '[0,' + str(t) + ']') output_combine.append(value(C_value)) else: for ind in self.measurement_extra_index[j]: - for t in self.measurement_timeset: + for t in self.measurement_variable_timepoints[j]: C_value = eval('mod.' + j + '[0,' + str(ind) +',' + str(t) + ']') output_combine.append(value(C_value)) output_record[no_s] = output_combine @@ -494,7 +496,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # extract sipopt result for j in self.measurement_variables: - for t in self.measurement_timeset: + for t in self.measurement_variable_timepoints[j]: # fetch the measurement variable measure_var = getattr(m_sipopt,j) # check if this variable is fixed @@ -580,7 +582,7 @@ def compute_FIM(self, design_values, mode='sequential_finite', FIM_store_name=No # Also correct the measurement time points # For e.g. if a measurement time point is 0.0 in the model but is given as 0, it is corrected here measurement_accurate_time = [] - for tt in self.measurement_timeset: + for tt in self.measurement_variable_timepoints[j]: if tt not in t_all: print('A measurement time point not measured by this model: ', tt) measurement_accurate_time.append(t_all[t_all.index(tt)]) @@ -989,7 +991,7 @@ def __create_doe_model(self): param_name = self.param_name m.y_set = Set(initialize=self.measurement_variables) m.t_set = Set(initialize=time_set) - m.tmea_set = Set(initialize=self.measurement_timeset) + m.tmea_set = Set(initialize=self.measurement_timeset[0]) # we can be sure about the name of scenarios, because they are generated by our function m.scenario = Set(initialize=scenario_all['scena-name']) diff --git a/pyomo/contrib/doe/fixed_bed_doe.ipynb b/pyomo/contrib/doe/fixed_bed_doe.ipynb index 865faacac43..fa5971098f9 100644 --- a/pyomo/contrib/doe/fixed_bed_doe.ipynb +++ b/pyomo/contrib/doe/fixed_bed_doe.ipynb @@ -2,20 +2,10 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "id": "940d1fa5", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING: DEPRECATED: the 'sorted_robust' function has been moved to\n", - " 'pyomo.common.sorting.sorted_robust'. Please update your import.\n", - " (deprecated in 6.1) (called from :228)\n" - ] - } - ], + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "from pyomo.environ import *\n", @@ -41,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "id": "3186b934", "metadata": {}, "outputs": [ @@ -63,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "9194ace2", "metadata": {}, "outputs": [], @@ -113,7 +103,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "f0dc7a42", "metadata": {}, "outputs": [], @@ -135,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "a7f8e4a2", "metadata": {}, "outputs": [], @@ -150,7 +140,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "id": "d03b6e85", "metadata": {}, "outputs": [], @@ -179,7 +169,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "id": "0d155ff6", "metadata": {}, "outputs": [ @@ -213,16 +203,19 @@ }, { "cell_type": "code", - "execution_count": 32, - "id": "e19d4a0d", + "execution_count": 9, + "id": "34639418", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[0.0541581 0. ]\n", - " [0.22835955 0.8158946 ]]\n" + "ename": "NameError", + "evalue": "name 'jac_init_1' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_34090/1430524320.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;31m#f2.close()\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mjac_init\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjac_init_1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0ml_init\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinalg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcholesky\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfim_init\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'jac_init_1' is not defined" ] } ], @@ -242,18 +235,10 @@ }, { "cell_type": "code", - "execution_count": 24, - "id": "a53c3c96", + "execution_count": null, + "id": "6f73babe", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{}\n" - ] - } - ], + "outputs": [], "source": [ "import os\n", "\n", @@ -501,7 +486,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 10, "id": "5245c36b", "metadata": {}, "outputs": [], @@ -511,19 +496,26 @@ "\n" ] }, + { + "cell_type": "markdown", + "id": "51aaba31", + "metadata": {}, + "source": [ + "### Sequential initial solution " + ] + }, { "cell_type": "code", - "execution_count": 35, - "id": "44d47c9a", - "metadata": { - "scrolled": true - }, + "execution_count": 12, + "id": "45eca6da", + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This scenario: {'fitted_transport_coefficient': {0: 214.12}, 'ua': {0: 15.424948470398375}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.1412, 'ua': 0.15424948470398375}, 'scena-name': [0]}\n", "The inlet feed density is 41.0275814575221 [mol/m3]\n", "the number of timepoints is 68\n", "The init point is ./priors/20210916_feed313_bath293.csv\n", @@ -554,211 +546,313 @@ "\n", "This is Ipopt version 3.13.2, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 376912\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 204430\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", "\n", - "Total number of variables............................: 93723\n", - " variables with only lower bounds: 2\n", - " variables with lower and upper bounds: 65840\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 93723\n", + "Total number of equality constraints.................: 23360\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 6.2386356e+00 7.30e+01 3.79e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (11617448)\n", - " 1 1.5619590e+01 7.29e+01 4.19e+03 -1.0 1.85e+02 - 6.40e-01 1.28e-03h 1\n", - "Reallocating memory for MA57: lfact (12936991)\n", - " 2 1.3846976e+01 6.61e+01 1.43e+05 -1.0 7.10e-01 6.0 2.81e-02 9.56e-02f 1\n", - "Reallocating memory for MA57: lfact (15157105)\n", - "Reallocating memory for MA57: lfact (22042970)\n", - " 3r 1.3846976e+01 6.61e+01 9.99e+02 1.8 0.00e+00 5.5 0.00e+00 2.98e-07R 5\n", - " 4r 1.3733847e+01 5.62e+01 9.82e+02 1.8 6.53e+04 - 4.38e-02 3.16e-04f 1\n", - " 5r 1.1823227e+01 1.93e+01 4.52e+03 1.1 1.04e+03 - 2.27e-01 4.36e-02f 1\n", - " 6r 6.2989195e+00 9.63e+00 1.66e+04 1.1 1.22e-01 4.0 1.00e+00 1.00e+00f 1\n", - " 7r 6.0292653e+00 7.37e+00 1.81e+03 1.1 3.03e-01 3.5 7.16e-01 6.40e-01f 1\n", - " 8r 5.6978953e+00 4.92e+00 1.68e+03 1.1 8.77e-01 3.0 1.00e+00 3.17e-01f 1\n", - " 9r 5.1743356e+00 2.20e+00 2.36e+03 1.1 2.22e+00 2.6 1.00e+00 1.95e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 4.7632601e+00 1.03e+00 3.55e+03 1.1 4.33e-01 3.0 1.00e+00 3.66e-01f 1\n", - " 11r 4.4167273e+00 2.55e-01 8.18e+03 1.1 3.70e-02 3.4 1.00e+00 1.00e+00f 1\n", - " 12r 3.8418429e+00 4.11e-01 2.22e+03 1.1 8.70e-02 2.9 1.00e+00 1.00e+00f 1\n", - " 13r 3.6614387e+00 4.82e-02 1.27e+02 1.1 3.51e-02 3.4 1.00e+00 1.00e+00f 1\n", - " 14r 3.5908828e+00 1.90e-01 5.44e+02 0.4 4.46e-02 2.9 1.00e+00 1.00e+00f 1\n", - " 15r 3.3450437e+00 2.04e-01 9.09e+01 0.4 5.33e-02 2.4 1.00e+00 1.00e+00f 1\n", - " 16r 3.2687592e+00 1.41e-01 1.10e+02 -0.3 7.51e-02 1.9 1.00e+00 1.00e+00f 1\n", - " 17r 2.9999550e+00 6.35e-01 3.35e+01 -0.3 1.09e-01 1.5 1.00e+00 1.00e+00f 1\n", - " 18r 2.9151878e+00 9.98e-02 1.83e+01 -0.3 3.99e-02 1.9 1.00e+00 1.00e+00f 1\n", - " 19r 2.9155385e+00 1.11e-01 7.20e+01 -1.0 1.18e-01 1.4 1.00e+00 9.82e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 2.8625446e+00 3.19e-01 1.36e+02 -1.0 3.49e-01 0.9 1.00e+00 8.18e-01f 1\n", - " 21r 2.8438552e+00 2.91e-01 6.00e+02 -1.0 1.52e+00 0.5 1.00e+00 9.51e-02f 1\n", - " 22r 2.7757488e+00 2.19e-01 6.45e+01 -1.0 3.53e-01 0.9 1.00e+00 1.00e+00f 1\n", - " 23r 2.7480524e+00 8.93e-01 1.07e+03 -1.0 1.13e+00 0.4 6.81e-01 1.77e-01f 1\n", - " 24r 2.7043002e+00 5.16e-01 1.24e+02 -1.0 2.35e-01 0.8 1.00e+00 7.29e-01f 1\n", - " 25r 2.6761643e+00 1.95e-01 5.55e+01 -1.0 7.03e-02 1.3 1.00e+00 1.00e+00f 1\n", - " 26r 2.5917308e+00 5.04e-02 8.71e+00 -1.0 1.19e-01 0.8 1.00e+00 1.00e+00f 1\n", - " 27r 2.4271465e+00 4.65e-01 7.37e+01 -1.0 3.90e-01 0.3 1.00e+00 1.00e+00f 1\n", - " 28r 2.2805759e+00 1.59e+00 4.49e+02 -1.0 1.88e+00 - 7.01e-01 3.25e-01f 1\n", - " 29r 2.0128265e+00 1.27e+00 6.64e+01 -1.0 6.74e-01 - 1.00e+00 9.12e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 1.9858174e+00 1.03e-01 3.92e+01 -1.0 1.83e-01 - 1.00e+00 1.00e+00f 1\n", - " 31r 1.9881684e+00 2.51e-02 3.52e-01 -1.0 4.74e-02 - 1.00e+00 1.00e+00h 1\n", - " 32r 2.3902794e+00 7.90e-01 3.94e+02 -2.5 1.69e+00 - 8.52e-01 3.41e-01f 1\n", - " 33r 2.5224680e+00 8.43e-01 4.07e+02 -2.5 1.80e+00 - 8.83e-01 2.35e-01f 1\n", - " 34r 3.3010012e+00 7.79e-01 2.04e+02 -2.5 8.05e-01 - 1.00e+00 5.44e-01f 1\n", - " 35r 4.0214734e+00 5.75e-01 1.86e+02 -2.5 7.16e-01 - 8.13e-01 3.86e-01f 1\n", - " 36r 4.9835283e+00 4.13e-01 1.78e+02 -2.5 5.93e-01 - 9.92e-01 4.90e-01f 1\n", - " 37r 5.6173378e+00 2.62e-01 1.59e+02 -2.5 4.24e-01 - 4.90e-01 4.97e-01f 1\n", - " 38r 5.8439841e+00 1.88e-01 2.71e+02 -2.5 3.23e-01 - 1.00e+00 3.36e-01f 1\n", - " 39r 5.8826668e+00 1.68e-01 1.19e+02 -2.5 2.59e-01 - 9.64e-02 1.15e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 5.9638327e+00 1.26e-01 1.65e+02 -2.5 2.46e-01 - 1.47e-01 2.82e-01f 1\n", - " 41r 6.0497765e+00 7.86e-02 2.07e+02 -2.5 2.13e-01 - 2.50e-01 4.77e-01f 1\n", - " 42r 6.0635439e+00 6.62e-02 1.73e+02 -2.5 1.70e-01 - 2.72e-01 1.72e-01f 1\n", - " 43r 6.0795699e+00 3.64e-02 6.32e+01 -2.5 1.57e-01 - 4.87e-01 6.45e-01f 1\n", - " 44r 6.0709390e+00 3.09e-02 1.38e+02 -2.5 1.20e-01 - 2.72e-01 1.67e-01f 1\n", - " 45r 5.9898303e+00 1.76e-02 1.07e+02 -2.5 1.11e-01 - 3.31e-01 6.29e-01f 1\n", - " 46r 5.8797712e+00 1.17e-02 1.29e+02 -2.5 8.56e-02 - 3.30e-01 4.27e-01f 1\n", - " 47r 5.8759039e+00 7.55e-03 1.51e+02 -2.5 7.15e-02 - 3.12e-01 4.90e-01f 1\n", - " 48r 5.8725846e+00 4.61e-03 2.94e+02 -2.5 5.86e-02 - 2.96e-01 6.20e-01f 1\n", - " 49r 5.8384262e+00 2.73e-03 2.18e+02 -2.5 4.40e-02 - 3.77e-01 6.20e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 5.8270210e+00 1.38e-03 9.71e+01 -2.5 2.47e-02 - 5.45e-01 5.94e-01f 1\n", - " 51r 5.8149344e+00 5.34e-04 1.30e+02 -2.5 1.52e-02 - 1.00e+00 7.21e-01f 1\n", - " 52r 5.8097976e+00 1.20e-04 4.67e+00 -2.5 4.04e-03 - 1.00e+00 1.00e+00f 1\n", - " 53r 5.8098512e+00 1.20e-04 1.94e+00 -2.5 5.27e-04 - 1.00e+00 1.00e+00h 1\n", - " 54r 5.8098242e+00 1.20e-04 4.78e-03 -2.5 3.57e-05 - 1.00e+00 1.00e+00h 1\n", - " 55r 6.0757948e+00 2.76e-03 3.47e+02 -5.7 2.49e-01 - 9.75e-01 1.99e-01f 1\n", - " 56r 5.8513199e+00 1.72e-02 2.94e+02 -5.7 2.75e-01 - 8.77e-01 4.35e-01f 1\n", - " 57r 6.0451294e+00 1.22e-02 2.64e+02 -5.7 4.60e-02 - 5.52e-01 2.94e-01f 1\n", - " 58r 6.1334375e+00 9.07e-03 1.97e+02 -5.7 2.62e-02 - 2.63e-01 2.59e-01f 1\n", - " 59r 6.2178691e+00 5.40e-03 2.62e+02 -5.7 1.17e-02 - 1.42e-01 4.05e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 6.2414361e+00 1.40e-03 1.73e+02 -5.7 5.51e-03 - 3.34e-01 7.47e-01f 1\n", - " 61r 6.2403127e+00 8.28e-05 2.32e+01 -5.7 3.10e-03 - 8.32e-01 9.49e-01f 1\n", - " 62r 6.2386660e+00 2.49e-07 1.91e-02 -5.7 4.62e-04 - 1.00e+00 1.00e+00f 1\n", - " 63r 6.2386510e+00 3.49e-10 5.04e-07 -5.7 2.69e-06 - 1.00e+00 1.00e+00h 1\n" + " 0 0.0000000e+00 7.30e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (2555076)\n", + " 1 0.0000000e+00 7.28e+01 3.61e+02 -1.0 5.56e+00 - 6.40e-01 1.78e-03h 1\n", + " 2 0.0000000e+00 7.28e+01 9.69e+06 -1.0 5.58e+00 - 4.79e-01 1.77e-05h 1\n", + "Reallocating memory for MA57: lfact (3082347)\n", + " 3 0.0000000e+00 2.95e+01 9.43e+06 -1.0 1.52e+00 - 2.71e-02 7.91e-01f 1\n", + " 4 0.0000000e+00 8.98e+00 7.33e+06 -1.0 8.17e-01 - 2.23e-01 1.00e+00h 1\n", + "Reallocating memory for MA57: lfact (3529627)\n", + " 5 0.0000000e+00 2.73e+00 4.28e+06 -1.0 1.09e+00 - 4.16e-01 1.00e+00h 1\n", + "Reallocating memory for MA57: lfact (3753734)\n", + " 6 0.0000000e+00 8.69e-01 1.69e+06 -1.0 3.82e-01 - 6.05e-01 1.00e+00h 1\n", + " 7r 0.0000000e+00 8.69e-01 1.00e+03 -0.1 0.00e+00 - 0.00e+00 2.64e-07R 3\n", + " 8r 0.0000000e+00 7.34e-01 9.86e+02 -0.1 7.79e+02 - 1.40e-02 1.06e-03f 1\n", + " 9r 0.0000000e+00 3.02e-01 8.99e+02 -0.1 1.36e+01 - 1.68e-01 1.39e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.14e+00 6.21e+02 -0.1 3.07e+00 - 3.04e-01 1.82e-01f 1\n", + " 11r 0.0000000e+00 1.76e+02 1.28e+04 -0.1 2.52e+00 - 4.83e-01 6.26e-01f 1\n", + " 12r 0.0000000e+00 7.07e+01 5.30e+03 -0.1 9.81e-01 2.0 8.13e-01 7.93e-01f 1\n", + "Reallocating memory for MA57: lfact (3960094)\n", + " 13r 0.0000000e+00 4.59e+01 2.23e+04 -0.1 6.04e-01 2.4 4.72e-01 4.10e-01f 1\n", + " 14r 0.0000000e+00 4.28e+01 2.08e+04 -0.1 2.00e+00 1.9 5.51e-02 6.86e-02f 1\n", + " 15r 0.0000000e+00 3.23e+01 1.52e+04 -0.1 1.14e+00 2.4 1.47e-01 2.72e-01f 1\n", + " 16r 0.0000000e+00 1.97e+01 1.26e+05 -0.1 1.87e+00 1.9 1.62e-01 4.74e-01f 1\n", + " 17r 0.0000000e+00 1.47e+01 9.21e+04 -0.1 2.71e+00 1.4 8.62e-01 2.85e-01f 1\n", + " 18r 0.0000000e+00 1.01e+01 5.94e+04 -0.1 1.88e+00 1.8 7.10e-01 3.74e-01f 1\n", + "Reallocating memory for MA57: lfact (4552220)\n", + "Reallocating memory for MA57: lfact (5000525)\n", + " 19r 0.0000000e+00 9.89e+00 5.82e+04 -0.1 5.26e-01 4.1 7.85e-03 2.10e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 5.77e+00 7.64e+04 -0.1 2.74e-01 3.6 7.28e-02 5.65e-01h 1\n", + " 21r 0.0000000e+00 5.69e+00 7.53e+04 -0.1 7.80e-01 4.0 9.23e-03 1.36e-02h 1\n", + " 22r 0.0000000e+00 5.49e+00 7.23e+04 -0.1 3.41e-01 4.5 1.24e-02 3.67e-02h 1\n", + " 23r 0.0000000e+00 5.04e+00 6.60e+04 -0.1 3.89e-01 4.0 3.93e-02 8.91e-02h 1\n", + " 24r 0.0000000e+00 4.62e+00 6.03e+04 -0.1 2.95e-01 4.4 4.05e-02 9.04e-02h 1\n", + " 25r 0.0000000e+00 3.91e+00 7.00e+04 -0.1 2.89e-01 3.9 2.08e-02 1.95e-01h 1\n", + " 26r 0.0000000e+00 3.90e+00 6.98e+04 -0.1 6.36e+00 3.4 3.04e-02 2.98e-03f 1\n", + " 27r 0.0000000e+00 3.30e+00 7.08e+04 -0.1 2.66e-01 3.9 2.02e-02 2.81e-01h 1\n", + " 28r 0.0000000e+00 3.17e+00 6.85e+04 -0.1 9.19e-01 3.4 2.98e-02 7.87e-02h 1\n", + " 29r 0.0000000e+00 3.13e+00 2.19e+04 -0.1 3.02e-01 3.8 6.72e-02 6.62e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.09e+00 8.83e+04 -0.1 2.00e-01 3.3 2.02e-01 6.99e-01h 1\n", + " 31r 0.0000000e+00 3.08e+00 5.69e+04 -0.1 2.49e-01 3.8 2.44e-01 2.61e-01f 1\n", + " 32r 0.0000000e+00 3.03e+00 2.50e+04 -0.1 5.40e-02 3.3 1.00e+00 1.00e+00h 1\n", + " 33r 0.0000000e+00 2.89e+00 3.87e+03 -0.1 1.55e-01 2.8 1.00e+00 8.59e-01f 1\n", + " 34r 0.0000000e+00 2.80e+00 3.84e+04 -0.1 1.26e+00 2.3 1.14e-01 2.09e-01f 1\n", + " 35r 0.0000000e+00 2.79e+00 3.64e+04 -0.1 1.39e+00 3.7 2.72e-02 2.79e-02f 1\n", + " 36r 0.0000000e+00 2.79e+00 7.65e+03 -0.1 8.10e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 37r 0.0000000e+00 2.78e+00 3.23e+03 -0.1 1.48e-01 3.6 8.49e-01 2.96e-01f 1\n", + " 38r 0.0000000e+00 2.71e+00 4.89e+02 -0.1 7.37e-02 3.1 1.00e+00 1.00e+00f 1\n", + " 39r 0.0000000e+00 2.48e+00 1.59e+03 -0.1 2.22e-01 2.7 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 2.40e+00 2.96e+03 -0.1 9.08e-02 3.1 1.00e+00 1.00e+00f 1\n", + " 41r 0.0000000e+00 2.37e+00 6.14e+03 -0.1 7.25e-02 3.5 1.00e+00 1.00e+00f 1\n", + " 42r 0.0000000e+00 2.36e+00 2.30e+03 -0.1 5.57e-02 3.9 1.00e+00 1.00e+00f 1\n", + " 43r 0.0000000e+00 2.35e+00 4.40e+03 -0.1 1.39e+00 3.5 5.11e-02 4.94e-02f 1\n", + " 44r 0.0000000e+00 2.35e+00 3.86e+03 -0.1 1.12e-01 3.9 1.00e+00 2.86e-01f 1\n", + " 45r 0.0000000e+00 2.31e+00 4.10e+03 -0.1 4.18e-02 3.4 1.00e+00 1.00e+00f 1\n", + " 46r 0.0000000e+00 2.18e+00 9.66e+03 -0.1 1.62e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 47r 0.0000000e+00 2.18e+00 6.56e+02 -0.1 1.57e-02 4.3 1.00e+00 1.00e+00f 1\n", + " 48r 0.0000000e+00 2.16e+00 9.22e+03 -0.1 7.01e-02 3.8 1.00e+00 1.00e+00f 1\n", + " 49r 0.0000000e+00 2.15e+00 5.88e+03 -0.1 4.41e-02 4.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 2.14e+00 8.29e+03 -0.1 1.37e-01 3.7 1.00e+00 7.36e-01f 1\n", + " 51r 0.0000000e+00 2.14e+00 6.93e+03 -0.1 6.45e-02 4.2 1.00e+00 1.61e-01f 1\n", + " 52r 0.0000000e+00 2.13e+00 1.05e+04 -0.1 2.50e-01 3.7 4.31e-01 4.50e-01f 1\n", + " 53r 0.0000000e+00 2.13e+00 9.63e+03 -0.1 2.44e-02 4.1 1.00e+00 7.68e-02h 1\n", + " 54r 0.0000000e+00 2.11e+00 1.07e+04 -0.1 2.35e-01 3.6 3.40e-01 4.49e-01f 1\n", + " 55r 0.0000000e+00 2.10e+00 8.21e+03 -0.1 8.12e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 56r 0.0000000e+00 2.10e+00 6.33e+03 -0.1 1.76e-01 3.6 1.00e+00 1.78e-01f 1\n", + " 57r 0.0000000e+00 2.08e+00 4.03e+02 -0.1 1.51e-02 4.0 1.00e+00 1.00e+00f 1\n", + " 58r 0.0000000e+00 2.04e+00 2.46e+04 -0.1 1.36e-01 3.5 1.00e+00 9.74e-01f 1\n", + " 59r 0.0000000e+00 2.02e+00 1.46e+04 -0.1 1.08e-01 4.0 4.18e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 2.01e+00 1.18e+04 -0.1 2.26e-01 3.5 1.00e+00 1.55e-01f 1\n", + " 61r 0.0000000e+00 1.98e+00 5.97e+02 -0.1 2.11e-02 3.9 1.00e+00 1.00e+00f 1\n", + " 62r 0.0000000e+00 1.98e+00 1.18e+04 -0.1 3.29e+00 3.4 5.29e-02 3.01e-02f 1\n", + " 63r 0.0000000e+00 1.93e+00 4.17e+04 -0.1 1.41e-01 3.9 4.73e-01 9.89e-01f 1\n", + " 64r 0.0000000e+00 1.89e+00 4.05e+04 -0.1 4.40e-01 3.4 3.33e-01 2.97e-02f 1\n", + " 65r 0.0000000e+00 1.75e+00 8.35e+03 -0.1 4.36e-02 3.8 1.00e+00 7.72e-01f 1\n", + " 66r 0.0000000e+00 1.64e+00 3.20e+02 -0.1 1.88e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 67r 0.0000000e+00 5.39e-02 6.27e+03 -0.1 1.42e-01 3.8 1.00e+00 8.50e-01f 1\n", + " 68r 0.0000000e+00 1.01e+00 2.65e+03 -0.1 1.51e+00 3.3 7.34e-02 5.84e-02f 1\n", + " 69r 0.0000000e+00 7.38e-01 2.79e+03 -0.1 2.43e-02 2.8 1.00e+00 2.76e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 7.31e-02 6.35e+03 -0.1 4.12e-02 2.3 1.00e+00 1.00e+00f 1\n", + " 71r 0.0000000e+00 1.14e-01 2.43e+02 -0.1 7.06e-02 1.8 1.00e+00 1.00e+00f 1\n", + " 72r 0.0000000e+00 2.81e+00 1.09e+02 -0.1 1.95e-01 1.4 1.00e+00 1.00e+00f 1\n", + " 73r 0.0000000e+00 5.25e+01 4.43e+03 -0.1 1.02e+00 0.9 8.42e-01 1.00e+00f 1\n", + " 74r 0.0000000e+00 2.22e+01 6.05e+02 -0.1 1.83e-01 2.2 1.00e+00 7.93e-01h 1\n", + " 75r 0.0000000e+00 7.76e+00 7.53e+01 -0.1 1.47e-01 1.7 1.00e+00 1.00e+00f 1\n", + " 76r 0.0000000e+00 2.79e+00 5.66e+02 -0.1 4.21e-01 1.3 1.00e+00 1.00e+00f 1\n", + " 77r 0.0000000e+00 2.87e+00 1.07e+04 -0.1 6.02e-01 1.7 1.00e+00 1.00e+00f 1\n", + " 78r 0.0000000e+00 2.62e+00 3.30e+03 -0.1 3.08e-01 1.2 1.00e+00 1.00e+00f 1\n", + " 79r 0.0000000e+00 3.40e-01 5.87e+02 -0.1 1.36e-01 1.6 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 8.08e+00 3.04e+02 -0.1 2.84e-01 1.2 1.00e+00 1.00e+00f 1\n", + " 81r 0.0000000e+00 3.31e+00 1.22e+02 -0.1 1.97e-01 1.6 1.00e+00 1.00e+00f 1\n", + " 82r 0.0000000e+00 1.54e+01 8.91e+02 -0.1 4.80e-01 1.1 1.00e+00 1.00e+00f 1\n", + " 83r 0.0000000e+00 3.64e+01 6.41e+02 -0.1 4.63e-01 1.5 1.00e+00 1.00e+00f 1\n", + " 84r 0.0000000e+00 1.28e+01 8.64e+02 -0.1 4.85e-01 1.1 1.00e+00 1.00e+00f 1\n", + " 85r 0.0000000e+00 5.60e+01 3.77e+03 -0.1 2.06e+00 1.5 2.29e-01 2.01e-01f 1\n", + " 86r 0.0000000e+00 2.77e+00 4.67e+03 -0.1 1.39e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 87r 0.0000000e+00 1.81e+00 2.25e+03 -0.1 2.49e-01 2.3 1.00e+00 3.54e-01h 1\n", + " 88r 0.0000000e+00 1.78e-01 1.93e+02 -0.1 4.31e-02 1.9 1.00e+00 1.00e+00f 1\n", + " 89r 0.0000000e+00 1.83e+00 1.18e+02 -0.1 1.84e-01 1.4 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 4.87e-01 2.24e+02 -0.1 7.02e-02 1.8 1.00e+00 1.00e+00f 1\n", + " 91r 0.0000000e+00 2.05e+00 1.28e+02 -0.1 1.94e-01 1.3 1.00e+00 1.00e+00f 1\n", + " 92r 0.0000000e+00 5.42e-01 1.84e+02 -0.1 7.04e-02 1.8 1.00e+00 1.00e+00f 1\n", + " 93r 0.0000000e+00 2.64e+00 1.89e+02 -0.1 2.44e-01 1.3 1.00e+00 1.00e+00f 1\n", + " 94r 0.0000000e+00 6.75e-01 4.41e+02 -0.1 1.02e-01 1.7 1.00e+00 1.00e+00f 1\n", + " 95r 0.0000000e+00 4.07e+00 1.88e+02 -0.1 3.08e-01 1.2 1.00e+00 1.00e+00f 1\n", + " 96r 0.0000000e+00 9.75e-01 5.30e+02 -0.1 1.49e-01 1.7 1.00e+00 1.00e+00f 1\n", + " 97r 0.0000000e+00 3.18e+00 1.83e+02 -0.1 2.34e-01 1.2 1.00e+00 1.00e+00f 1\n", + " 98r 0.0000000e+00 7.92e-01 2.86e+02 -0.1 1.13e-01 1.6 1.00e+00 1.00e+00f 1\n", + " 99r 0.0000000e+00 2.23e+00 1.22e+02 -0.1 1.95e-01 1.1 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 1.51e+02 2.47e+04 -0.1 1.44e+00 0.7 4.79e-01 7.78e-01f 1\n", + " 101r 0.0000000e+00 9.97e+01 1.49e+04 -0.1 2.43e-01 2.9 7.02e-01 3.96e-01f 1\n", + " 102r 0.0000000e+00 3.18e+01 8.91e+03 -0.1 2.15e-01 3.3 1.00e+00 1.00e+00h 1\n", + " 103r 0.0000000e+00 2.31e+01 6.18e+03 -0.1 4.00e-01 2.8 7.68e-01 3.11e-01f 1\n", + " 104r 0.0000000e+00 7.86e+00 2.19e+03 -0.1 1.62e-01 2.4 1.00e+00 1.00e+00f 1\n", + " 105r 0.0000000e+00 3.45e+00 1.84e+02 -0.1 1.40e-01 1.9 1.00e+00 1.00e+00f 1\n", + " 106r 0.0000000e+00 2.05e+00 2.93e+03 -0.1 7.55e-01 1.4 1.00e+00 1.00e+00f 1\n", + " 107r 0.0000000e+00 7.26e-01 7.58e+03 -0.1 2.05e+00 0.9 1.00e+00 8.80e-01f 1\n", + " 108r 0.0000000e+00 7.57e-02 8.37e+03 -0.1 8.78e-02 2.3 1.00e+00 1.00e+00f 1\n", + " 109r 0.0000000e+00 6.96e-03 3.19e+02 -0.1 7.17e-02 1.8 1.00e+00 9.77e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 2.45e-02 1.44e+02 -0.1 1.50e-01 1.3 1.00e+00 1.00e+00f 1\n", + " 111r 0.0000000e+00 8.96e-02 1.25e+02 -0.1 2.67e-01 0.8 1.00e+00 1.00e+00f 1\n", + " 112r 0.0000000e+00 1.97e-01 1.85e+02 -0.1 4.46e-01 0.3 1.00e+00 1.00e+00f 1\n", + " 113r 0.0000000e+00 5.16e+00 3.48e+02 -0.1 1.69e+01 - 5.75e-02 3.44e-02f 2\n", + " 114r 0.0000000e+00 3.88e+00 2.66e+02 -0.1 1.94e+00 - 7.77e-01 2.99e-01f 1\n", + " 115r 0.0000000e+00 5.00e+01 4.51e+03 -0.1 6.42e-01 0.8 1.00e+00 1.00e+00f 1\n", + " 116r 0.0000000e+00 1.47e+01 2.89e+02 -0.1 2.51e-01 2.1 1.00e+00 1.00e+00h 1\n", + " 117r 0.0000000e+00 3.27e+00 1.46e+03 -0.1 1.74e-01 2.5 1.00e+00 1.00e+00h 1\n", + " 118r 0.0000000e+00 3.75e-01 3.79e+02 -0.1 1.98e-01 2.0 1.00e+00 5.53e-01h 1\n", + " 119r 0.0000000e+00 8.80e-01 2.30e+01 -0.1 3.32e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 2.06e+00 6.38e+02 -0.8 1.16e+01 - 9.96e-02 9.66e-02f 1\n", + " 121r 0.0000000e+00 6.34e+00 4.66e+02 -0.8 3.63e+00 - 2.66e-01 3.64e-01f 1\n", + " 122r 0.0000000e+00 4.30e+00 4.06e+02 -0.8 3.14e-01 1.6 9.32e-01 6.11e-01f 1\n", + " 123r 0.0000000e+00 2.20e+00 2.80e+02 -0.8 2.06e-01 1.1 1.00e+00 3.41e-01f 1\n", + " 124r 0.0000000e+00 1.48e+00 1.88e+02 -0.8 4.38e-01 0.6 1.00e+00 6.39e-01f 1\n", + " 125r 0.0000000e+00 9.15e-01 4.31e+02 -0.8 6.43e-01 0.1 1.00e+00 4.97e-01f 1\n", + " 126r 0.0000000e+00 1.22e+00 6.86e+02 -0.8 3.28e+00 - 3.74e-01 1.85e-01f 1\n", + " 127r 0.0000000e+00 1.15e+00 6.04e+02 -0.8 9.24e-01 - 9.51e-01 6.19e-02f 1\n", + " 128r 0.0000000e+00 1.42e+00 7.49e+01 -0.8 7.51e-01 - 1.00e+00 1.00e+00f 1\n", + " 129r 0.0000000e+00 7.06e-01 2.97e+01 -0.8 8.49e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 0.0000000e+00 8.65e-01 1.89e+02 -0.8 7.78e-01 - 1.00e+00 5.00e-01f 2\n", + " 131r 0.0000000e+00 4.93e-01 1.82e+01 -0.8 4.36e-01 - 1.00e+00 1.00e+00f 1\n", + " 132r 0.0000000e+00 4.17e-01 2.59e+01 -0.8 3.29e-01 - 1.00e+00 1.00e+00h 1\n", + " 133r 0.0000000e+00 9.98e-02 2.27e+00 -0.8 1.73e-01 - 1.00e+00 1.00e+00h 1\n", + " 134r 0.0000000e+00 1.43e+00 4.55e+02 -1.5 4.99e+00 - 3.01e-01 2.03e-01f 1\n", + " 135r 0.0000000e+00 1.21e+00 2.59e+02 -1.5 1.64e+00 - 5.10e-01 4.99e-01f 1\n", + " 136r 0.0000000e+00 1.01e+00 2.36e+02 -1.5 8.20e-01 - 5.28e-01 1.94e-01f 1\n", + " 137r 0.0000000e+00 5.79e-01 2.97e+02 -1.5 6.68e-01 - 1.00e+00 6.56e-01f 1\n", + " 138r 0.0000000e+00 1.03e-01 1.76e+02 -1.5 2.84e-01 - 1.00e+00 1.00e+00f 1\n", + " 139r 0.0000000e+00 2.06e-03 8.18e+01 -1.5 3.61e-02 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 0.0000000e+00 2.06e-03 1.22e+00 -1.5 1.36e-02 - 1.00e+00 1.00e+00f 1\n", + " 141r 0.0000000e+00 9.97e-02 1.77e+02 -2.2 6.63e-01 - 1.00e+00 3.43e-01f 1\n", + " 142r 0.0000000e+00 1.84e-01 1.86e+02 -2.2 6.02e-01 - 1.00e+00 4.87e-01f 1\n", + " 143r 0.0000000e+00 1.73e-01 9.62e+01 -2.2 4.36e-01 - 1.00e+00 6.26e-01f 1\n", + " 144r 0.0000000e+00 9.20e-02 7.55e+01 -2.2 2.54e-01 - 1.00e+00 7.57e-01f 1\n", + " 145r 0.0000000e+00 4.86e-02 8.37e+01 -2.2 1.78e-01 - 1.00e+00 6.70e-01f 1\n", + " 146r 0.0000000e+00 1.81e-02 8.27e+01 -2.2 1.17e-01 - 6.97e-01 1.00e+00f 1\n", + " 147r 0.0000000e+00 5.02e-03 6.05e+01 -2.2 5.99e-02 - 8.87e-01 1.00e+00h 1\n", + " 148r 0.0000000e+00 6.39e-04 1.91e+01 -2.2 1.11e-02 - 1.00e+00 1.00e+00h 1\n", + " 149r 0.0000000e+00 6.37e-04 2.99e+00 -2.2 5.85e-03 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r 0.0000000e+00 6.37e-04 2.87e-01 -2.2 4.72e-04 - 1.00e+00 1.00e+00h 1\n", + " 151r 0.0000000e+00 6.37e-04 6.28e-04 -2.2 1.33e-05 - 1.00e+00 1.00e+00h 1\n", + " 152r 0.0000000e+00 1.44e-02 2.73e+02 -5.0 5.36e-01 - 9.46e-01 2.08e-01f 1\n", + " 153r 0.0000000e+00 1.70e-02 2.69e+02 -5.0 2.07e-01 - 1.00e+00 3.98e-01f 1\n", + " 154r 0.0000000e+00 1.32e-02 2.98e+02 -5.0 1.17e-01 - 9.94e-01 3.40e-01f 1\n", + " 155r 0.0000000e+00 9.22e-03 2.16e+02 -5.0 8.63e-02 - 7.62e-01 4.37e-01f 1\n", + " 156r 0.0000000e+00 7.91e-03 2.13e+02 -5.0 7.02e-02 - 3.16e-01 1.58e-01f 1\n", + " 157r 0.0000000e+00 7.42e-03 1.98e+02 -5.0 6.65e-02 - 5.76e-02 6.44e-02f 1\n", + " 158r 0.0000000e+00 7.20e-03 2.02e+02 -5.0 6.51e-02 - 9.71e-02 3.11e-02f 1\n", + " 159r 0.0000000e+00 6.63e-03 1.83e+02 -5.0 6.45e-02 - 7.01e-02 8.35e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r 0.0000000e+00 6.42e-03 1.77e+02 -5.0 6.28e-02 - 3.03e-02 3.22e-02f 1\n", + " 161r 0.0000000e+00 6.06e-03 2.23e+02 -5.0 6.19e-02 - 4.22e-02 5.94e-02f 1\n", + " 162r 0.0000000e+00 4.46e-03 1.54e+02 -5.0 6.04e-02 - 1.64e-01 3.45e-01f 1\n", + " 163r 0.0000000e+00 4.15e-03 1.25e+02 -5.0 5.25e-02 - 1.89e-01 7.21e-02f 1\n", + " 164r 0.0000000e+00 3.80e-03 2.13e+02 -5.0 4.78e-02 - 1.65e-01 8.88e-02f 1\n", + " 165r 0.0000000e+00 3.50e-03 1.05e+02 -5.0 4.63e-02 - 1.42e-01 8.35e-02f 1\n", + " 166r 0.0000000e+00 3.34e-03 2.20e+02 -5.0 4.56e-02 - 1.10e-01 4.74e-02f 1\n", + " 167r 0.0000000e+00 3.27e-03 2.18e+02 -5.0 4.60e-02 - 1.24e-02 2.14e-02f 1\n", + " 168r 0.0000000e+00 3.04e-03 2.00e+02 -5.0 4.46e-02 - 1.71e-01 7.09e-02f 1\n", + " 169r 0.0000000e+00 2.94e-03 2.47e+02 -5.0 4.41e-02 - 7.86e-02 3.48e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r 0.0000000e+00 2.88e-03 1.88e+02 -5.0 4.42e-02 - 8.53e-03 2.01e-02f 1\n", + " 171r 0.0000000e+00 2.82e-03 2.66e+02 -5.0 4.41e-02 - 1.17e-02 2.18e-02f 1\n", + " 172r 0.0000000e+00 2.72e-03 2.57e+02 -5.0 4.33e-02 - 3.90e-02 3.55e-02f 1\n", + " 173r 0.0000000e+00 2.66e-03 3.47e+02 -5.0 4.30e-02 - 8.34e-03 2.20e-02f 1\n", + " 174r 0.0000000e+00 2.42e-03 3.11e+02 -5.0 4.23e-02 - 7.09e-02 9.89e-02f 1\n", + " 175r 0.0000000e+00 2.23e-03 2.85e+02 -5.0 4.13e-02 - 9.07e-02 8.13e-02f 1\n", + " 176r 0.0000000e+00 2.03e-03 4.95e+02 -5.0 4.01e-02 - 2.34e-02 9.76e-02f 1\n", + " 177r 0.0000000e+00 1.94e-03 4.75e+02 -5.0 3.61e-02 - 4.59e-02 4.64e-02f 1\n", + " 178r 0.0000000e+00 1.85e-03 4.50e+02 -5.0 3.38e-02 - 3.94e-02 4.66e-02f 1\n", + " 179r 0.0000000e+00 1.77e-03 4.35e+02 -5.0 2.97e-02 - 5.83e-02 4.41e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r 0.0000000e+00 1.70e-03 4.14e+02 -5.0 3.12e-02 - 3.79e-02 4.24e-02f 1\n", + " 181r 0.0000000e+00 1.67e-03 4.11e+02 -5.0 3.43e-02 - 2.39e-02 1.64e-02f 1\n", + " 182r 0.0000000e+00 1.63e-03 4.03e+02 -5.0 2.93e-02 - 2.81e-02 2.24e-02f 1\n", + " 183r 0.0000000e+00 1.59e-03 3.98e+02 -5.0 3.05e-02 - 4.87e-03 2.53e-02f 1\n", + " 184r 0.0000000e+00 1.55e-03 3.87e+02 -5.0 2.92e-02 - 2.09e-02 2.74e-02f 1\n", + " 185r 0.0000000e+00 1.51e-03 3.78e+02 -5.0 3.07e-02 - 1.62e-02 2.53e-02f 1\n", + " 186r 0.0000000e+00 1.47e-03 3.69e+02 -5.0 3.25e-02 - 2.43e-02 2.39e-02f 1\n", + " 187r 0.0000000e+00 1.46e-03 3.66e+02 -5.0 2.93e-02 - 7.30e-03 8.42e-03f 1\n", + " 188r 0.0000000e+00 1.44e-03 3.59e+02 -5.0 2.83e-02 - 2.64e-02 1.50e-02f 1\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ + " 189r 0.0000000e+00 1.41e-03 3.51e+02 -5.0 2.92e-02 - 1.93e-02 2.36e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r 0.0000000e+00 1.27e-03 3.24e+02 -5.0 2.91e-02 - 3.19e-02 1.04e-01f 1\n", + " 191r 0.0000000e+00 1.14e-03 2.96e+02 -5.0 2.89e-02 - 6.73e-02 1.03e-01f 1\n", + " 192r 0.0000000e+00 1.12e-03 2.91e+02 -5.0 2.77e-02 - 7.31e-02 2.24e-02f 1\n", + " 193r 0.0000000e+00 1.03e-03 2.66e+02 -5.0 2.69e-02 - 2.31e-02 8.62e-02f 1\n", + " 194r 0.0000000e+00 1.02e-03 2.62e+02 -5.0 2.27e-02 - 4.00e-02 4.06e-03f 1\n", + " 195r 0.0000000e+00 9.79e-04 2.52e+02 -5.0 1.90e-02 - 3.47e-02 4.32e-02f 1\n", + " 196r 0.0000000e+00 9.66e-04 4.22e+02 -5.0 1.88e-02 - 8.90e-02 1.32e-02f 1\n", + " 197r 0.0000000e+00 9.30e-04 4.06e+02 -5.0 1.90e-02 - 4.07e-02 3.76e-02f 1\n", + " 198r 0.0000000e+00 9.09e-04 3.89e+02 -5.0 1.65e-02 - 4.38e-03 2.31e-02f 1\n", + " 199r 0.0000000e+00 9.00e-04 3.91e+02 -5.0 1.65e-02 - 3.15e-02 9.72e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200r 0.0000000e+00 8.76e-04 3.77e+02 -5.0 1.69e-02 - 3.20e-03 2.66e-02f 1\n", + " 201r 0.0000000e+00 8.69e-04 3.74e+02 -5.0 1.83e-02 - 1.27e-02 7.91e-03f 1\n", + " 202r 0.0000000e+00 8.34e-04 5.16e+02 -5.0 1.87e-02 - 5.53e-03 4.15e-02f 1\n", + " 203r 0.0000000e+00 8.17e-04 4.99e+02 -5.0 1.89e-02 - 1.16e-01 2.02e-02f 1\n", + " 204r 0.0000000e+00 7.91e-04 4.83e+02 -5.0 2.03e-02 - 1.77e-02 3.26e-02f 1\n", + " 205r 0.0000000e+00 7.55e-04 4.60e+02 -5.0 1.96e-02 - 3.73e-02 4.63e-02f 1\n", + " 206r 0.0000000e+00 7.31e-04 4.46e+02 -5.0 1.39e-02 - 2.68e-02 3.14e-02f 1\n", + " 207r 0.0000000e+00 7.16e-04 4.35e+02 -5.0 1.16e-02 - 4.25e-02 2.04e-02f 1\n", + " 208r 0.0000000e+00 7.10e-04 4.30e+02 -5.0 6.01e-03 - 1.50e-02 9.45e-03f 1\n", + " 209r 0.0000000e+00 6.97e-04 4.46e+02 -5.0 5.69e-03 - 3.79e-02 1.79e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 210r 0.0000000e+00 6.78e-04 4.40e+02 -5.0 3.04e-03 - 8.20e-03 2.70e-02f 1\n", + " 211r 0.0000000e+00 6.76e-04 4.41e+02 -5.0 3.76e-03 - 1.65e-02 2.69e-03f 1\n", + " 212r 0.0000000e+00 6.65e-04 4.44e+02 -5.0 2.87e-03 - 4.30e-02 1.73e-02f 1\n", + " 213r 0.0000000e+00 6.56e-04 4.28e+02 -5.0 5.43e-03 - 5.23e-03 1.38e-02f 1\n", + " 214r 0.0000000e+00 6.49e-04 4.24e+02 -5.0 3.97e-03 - 4.23e-03 9.73e-03f 1\n", + " 215r 0.0000000e+00 6.43e-04 4.20e+02 -5.0 4.78e-03 - 1.08e-02 8.95e-03f 1\n", + " 216r 0.0000000e+00 6.36e-04 4.78e+02 -5.0 5.21e-03 - 5.89e-03 1.06e-02f 1\n", + " 217r 0.0000000e+00 6.30e-04 4.95e+02 -5.0 2.15e-03 - 6.28e-03 1.04e-02f 1\n", + " 218r 0.0000000e+00 5.62e-04 1.48e+03 -5.0 5.99e-04 - 6.75e-03 1.08e-01f 1\n", + " 219r 0.0000000e+00 1.55e-07 5.33e+01 -5.0 3.34e-04 - 1.47e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 220r 0.0000000e+00 3.49e-10 1.96e-03 -5.0 7.11e-06 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 63\n", + "Number of Iterations....: 220\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: 6.2386509881506607e+00 6.2386509881506607e+00\n", - "Dual infeasibility......: 1.4166397477310966e-06 1.4166397477310966e-06\n", - "Constraint violation....: 1.2228640409311931e-11 3.4924596548080450e-10\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.7218701622727179e-10 3.4924596548080444e-10\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.2228640409311931e-11 1.4166397477310966e-06\n", + "Overall NLP error.......: 1.7218701622727179e-10 3.4924596548080444e-10\n", "\n", "\n", - "Number of objective function evaluations = 70\n", - "Number of objective gradient evaluations = 5\n", - "Number of equality constraint evaluations = 70\n", + "Number of objective function evaluations = 229\n", + "Number of objective gradient evaluations = 9\n", + "Number of equality constraint evaluations = 229\n", "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 65\n", + "Number of equality constraint Jacobian evaluations = 222\n", "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 63\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 47.223\n", - "Total CPU secs in NLP function evaluations = 13.766\n", + "Number of Lagrangian Hessian evaluations = 220\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 64.334\n", + "Total CPU secs in NLP function evaluations = 10.940\n", "\n", "EXIT: Optimal Solution Found.\n", - "JAC is: [[[-5.32362827e-18 1.36025562e-08 9.30113157e-09 6.92968634e-09\n", - " 4.83163986e-09 3.46162122e-09 2.37348141e-09 1.95516403e-09\n", - " 2.09341654e-09 3.09019264e-09 5.43084141e-09 9.40084653e-09\n", - " 1.67233371e-08 2.77878258e-08 4.71927078e-08 7.55723110e-08\n", - " 1.24017899e-07 1.94214282e-07 3.08582895e-07 4.76728773e-07\n", - " 7.27343909e-07 1.11086614e-06 1.61059757e-06 2.41883617e-06\n", - " 3.30295726e-06 4.84464313e-06 6.21695029e-06 8.84105906e-06\n", - " 1.07719737e-05 1.45442399e-05 1.73674788e-05 2.15212062e-05\n", - " 2.64912777e-05 2.91853753e-05 3.89167919e-05 3.68602742e-05\n", - " 5.52676791e-05 4.38544807e-05 7.61447575e-05 7.18521992e-05\n", - " 5.79402767e-05 4.41703559e-05 3.13015135e-05 1.97147187e-05\n", - " 9.57779841e-06 9.22804310e-07 -6.30229526e-06 -1.21987800e-05\n", - " -1.68938047e-05 -2.05249263e-05 -2.32300984e-05 -2.51414412e-05\n", - " -2.63816035e-05 -2.70618829e-05 -2.72815199e-05 -2.71277554e-05\n", - " -2.66763642e-05 -2.59924675e-05 -2.51314886e-05 -2.41401612e-05\n", - " -2.30575309e-05 -2.19159116e-05 -2.07417773e-05 -1.95565747e-05\n", - " -1.83774559e-05 -1.72179280e-05 -1.60884264e-05 -1.49968149e-05\n", - " -1.39488200e-05]\n", - " [-5.13389719e-18 -2.16545307e-10 -1.37054686e-12 -8.70667847e-12\n", - " -2.15134998e-12 -1.51695430e-11 -1.74864029e-11 -3.82373852e-11\n", - " -6.49084563e-11 -1.13795608e-10 -2.05249279e-10 -3.40435192e-10\n", - " -6.08589720e-10 -9.85542617e-10 -1.73727971e-09 -2.76622829e-09\n", - " -4.79444023e-09 -7.55245027e-09 -1.26717116e-08 -1.99414370e-08\n", - " -3.17176969e-08 -5.02964361e-08 -7.48331246e-08 -1.19366605e-07\n", - " -1.65069006e-07 -2.62118627e-07 -3.37964133e-07 -5.23731109e-07\n", - " -6.42566067e-07 -9.32595069e-07 -1.14222380e-06 -1.47919910e-06\n", - " -1.92526282e-06 -2.15823593e-06 -3.11958348e-06 -2.97842513e-06\n", - " -4.84591673e-06 -3.98455789e-06 -7.23139635e-06 -7.47706491e-06\n", - " -6.59049958e-06 -5.52817103e-06 -4.40983127e-06 -3.31407346e-06\n", - " -2.29099988e-06 -1.36964208e-06 -5.63982127e-07 1.22375895e-07\n", - " 6.92690703e-07 1.15450253e-06 1.51777999e-06 1.79362130e-06\n", - " 1.99336964e-06 2.12803314e-06 2.20792512e-06 2.24246124e-06\n", - " 2.24006586e-06 2.20815263e-06 2.15315373e-06 2.08057930e-06\n", - " 1.99509404e-06 1.90060173e-06 1.80033158e-06 1.69692240e-06\n", - " 1.59250176e-06 1.48875904e-06 1.38701144e-06 1.28826302e-06\n", - " 1.19326090e-06]]\n", - "\n", - " [[-5.32362827e-18 -2.26986646e-10 1.84112175e-10 3.22300632e-10\n", - " 6.26750087e-10 1.23196626e-09 2.31481129e-09 4.21993132e-09\n", - " 7.51017487e-09 1.28649476e-08 2.20667888e-08 3.61660291e-08\n", - " 6.05616088e-08 9.61309922e-08 1.58024442e-07 2.44551508e-07\n", - " 3.93134676e-07 5.94083567e-07 9.18158941e-07 1.35167238e-06\n", - " 1.95673510e-06 2.79734569e-06 3.71870595e-06 5.17684982e-06\n", - " 6.27637222e-06 8.61647190e-06 9.54416427e-06 1.30148793e-05\n", - " 1.33576830e-05 1.75102218e-05 1.75563566e-05 2.02965369e-05\n", - " 2.22884352e-05 1.98222741e-05 2.83575605e-05 1.54640291e-05\n", - " 4.76195678e-05 4.94106807e-05 -4.13921722e-05 -5.90047337e-05\n", - " -5.63534660e-05 -5.15333018e-05 -4.56247792e-05 -3.93424898e-05\n", - " -3.31363827e-05 -2.72781082e-05 -2.19193366e-05 -1.71317154e-05\n", - " -1.29344831e-05 -9.31357107e-06 -6.23477051e-06 -3.65272161e-06\n", - " -1.51696980e-06 2.24042490e-07 1.62042637e-06 2.71930216e-06\n", - " 3.56394590e-06 4.19340193e-06 4.64240692e-06 4.94151421e-06\n", - " 5.11733711e-06 5.19286166e-06 5.18778905e-06 5.11888571e-06\n", - " 5.00032219e-06 4.84399468e-06 4.65982127e-06 4.45601135e-06\n", - " 4.23930657e-06]\n", - " [-5.13389719e-18 -1.03026793e-06 1.54712908e-09 4.10818840e-09\n", - " -5.74617591e-09 -2.35946589e-08 -5.67635471e-08 -1.14644014e-07\n", - " -2.19508912e-07 -3.95043129e-07 -7.04809928e-07 -1.20892562e-06\n", - " -2.07671140e-06 -3.46957543e-06 -5.79887720e-06 -9.53347247e-06\n", - " -1.55393455e-05 -2.52403850e-05 -4.00376960e-05 -6.40691882e-05\n", - " -9.84420761e-05 -1.53544008e-04 -2.27379069e-04 -3.40992193e-04\n", - " -4.86353646e-04 -6.95024505e-04 -9.60280303e-04 -1.30529270e-03\n", - " -1.76404088e-03 -2.28974602e-03 -3.04773740e-03 -3.81143026e-03\n", - " -4.99477412e-03 -6.09138449e-03 -7.80740156e-03 -9.42428850e-03\n", - " -1.18688049e-02 -1.59242759e-02 -1.87378261e-02 -1.79787507e-02\n", - " -1.68899432e-02 -1.57049092e-02 -1.44888160e-02 -1.32850481e-02\n", - " -1.21218081e-02 -1.10167182e-02 -9.97999315e-03 -9.01667462e-03\n", - " -8.12822556e-03 -7.31367460e-03 -6.57043956e-03 -5.89491915e-03\n", - " -5.28291643e-03 -4.72993910e-03 -4.23141005e-03 -3.78281200e-03\n", - " -3.37978415e-03 -3.01818390e-03 -2.69412331e-03 -2.40398746e-03\n", - " -2.14444008e-03 -1.91242035e-03 -1.70513366e-03 -1.52003859e-03\n", - " -1.35483160e-03 -1.20743052e-03 -1.07595763e-03 -9.58722825e-04\n", - " -8.54207512e-04]]]\n", - "FIM: [[0.00293307 0.01236791]\n", - " [0.01236791 0.71783204]]\n", - "Trace: 0.720765107247085\n", - "Determinant: 0.0019524876759488853\n", - "Condition number: 264.0682330283083\n", - "Minimal eigen value: 0.0027191681893096176\n", - "Eigen values: [0.00271917 0.71804594]\n", - "Eigen vectors: [[-0.99985047 -0.01729246]\n", - " [ 0.01729246 -0.99985047]]\n", - "Model objective: -6.238650988150661\n", - "Objective(determinant) is: 0.0019524876760536995\n", - "Solution of temp_feed : [313.15]\n", - "Solution of yfeed : [0.15]\n", - "======problem solver output======\n", - "converged\n", + "Output this time: [0.000199428298248, 4.1618486214519046e-05, 4.1907183845181826e-05, 4.24154434050551e-05, 4.2865573049443134e-05, 4.326098639653961e-05, 4.3615055400998556e-05, 4.3930233910183426e-05, 4.4225633569871206e-05, 4.4504992765851005e-05, 4.4799179689926386e-05, 4.512263032969187e-05, 4.553504311423994e-05, 4.608424350591023e-05, 4.6900577100796304e-05, 4.8128877077829605e-05, 5.005247575469756e-05, 5.311069644886764e-05, 5.785778993226866e-05, 6.560819271267581e-05, 7.725638759772843e-05, 9.641421299783197e-05, 0.00012413750506212048, 0.00016884702452384098, 0.00023144341024221654, 0.00032735382607651655, 0.000459549892202062, 0.0006464634471233798, 0.0009074192959209844, 0.0012412248631135875, 0.001725521794696657, 0.0022859406591450855, 0.003129440777785531, 0.004039100026958566, 0.00540814990438008, 0.006865673175873992, 0.008923008159602501, 0.011263616282442667, 0.014169551137893335, 0.018582420467524684, 0.02288394081064882, 0.0269515833941988, 0.030752832292274646, 0.03427379915981849, 0.03751285787402379, 0.0404764609062652, 0.04317623591926042, 0.04562695248982867, 0.04784509706170499, 0.049847880101839236, 0.051652553113983445, 0.05327594870134422, 0.05473418126593283, 0.056042463082149954, 0.05721500273718814, 0.05826496179126661, 0.059204451972063345, 0.06004455995944286, 0.06079539031224587, 0.06146611967390703, 0.062065057308588, 0.06259970843874324, 0.0630768379060321, 0.0635025324541031, 0.06388226050346833, 0.06422092870717863, 0.06452293487991068, 0.06479221711133139, 0.06503229902881667, 293.15, 293.1500329162862, 293.1500786944468, 293.1501599079376, 293.1502876080567, 293.1504680611935, 293.15073593977854, 293.1510605208323, 293.1515417252604, 293.1520607971162, 293.15284673467227, 293.15362775200606, 293.154816700334, 293.1559664891078, 293.15763429955996, 293.15935096116124, 293.16162040512404, 293.16564595930157, 293.1688625072643, 293.16820918321713, 293.1671244598561, 293.16593560115416, 293.16471076303776, 293.1634954399165, 293.16231917831004, 293.16120046613753, 293.1601500768858, 293.1591734095893, 293.15827215027895, 293.15744546021966, 293.1566908287201, 293.15600468456535, 293.1553828329198, 293.15482076506675, 293.15431387535347, 293.1538576104708, 293.1534475692573, 293.153079566686, 293.1527496718727, 293.1524542275329, 293.15218985635096, 293.151953458212, 293.15174220131394, 293.1515535093033, 293.1513850460174, 293.15123469897054, 293.1511005623931, 293.1509809203906, 293.1508742306065, 293.1507791086402, 293.15069431337554, 293.1506187333006, 293.15055137385303, 293.1504913457878, 293.1504378545369, 293.1503901905211, 293.1503477203562, 293.1503098788979, 293.1502761620594, 293.15024612034415, 293.1502193530295, 293.15019550294613, 293.1501742517967, 293.1501553159642, 293.1501384427602, 293.1501234070717, 293.15011000836523, 293.1500980680118, 293.1500874268996, 293.15, 293.1500010318201, 293.14999999684034, 293.1499999966384, 293.1500000071814, 293.1500000263578, 293.15000006189257, 293.15000012389197, 293.1500002358425, 293.15000042274653, 293.15000075238265, 293.1500012868576, 293.1500022066256, 293.15000367562504, 293.1500061369627, 293.1500100555048, 293.1500163770038, 293.15002650275557, 293.15004198684085, 293.1500669278642, 293.1501025784203, 293.1501594292886, 293.1502351977687, 293.1503518217002, 293.1504994735836, 293.1507129510596, 293.150980118977, 293.15133227486325, 293.15179166333206, 293.1523260671954, 293.15308385660114, 293.1538535754561, 293.15504031830943, 293.1561324465798, 293.15786474831543, 293.15945544189293, 293.1619663264498, 293.16602790751097, 293.16865397215435, 293.16785713801147, 293.1667739167611, 293.16559899937675, 293.1643951127871, 293.1632042237318, 293.1620536498727, 293.1609604842185, 293.1599346497951, 293.1589810541392, 293.15810112843866, 293.15729393425113, 293.1565569611016, 293.15588670066353, 293.1552790583108, 293.15472964577856, 293.1542339867165, 293.153787658414, 293.15338638682965, 293.1530261075909, 293.15270300234215, 293.1524135173991, 293.15215436986574, 293.15192254503285, 293.1517152878755, 293.15153009072037, 293.15136467859304, 293.15121699333883, 293.151085177295, 293.1509675570612, 293.15086262774093]\n", + "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.579197955102359}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15579197955102358}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "the number of timepoints is 68\n", + "The init point is ./priors/20210916_feed313_bath293.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "temp_feed is fixed at 313.15\n", + "yfeed is fixed at 0.15\n", "Ipopt 3.13.2: linear_solver=ma57\n", "halt_on_ampl_error=yes\n", "\n", @@ -783,952 +877,786 @@ "\n", "This is Ipopt version 3.13.2, running with linear solver ma57.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 378568\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 206072\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", "\n", - "Reallocating memory for MA57: lfact (12152896)\n", - "Total number of variables............................: 93725\n", - " variables with only lower bounds: 2\n", - " variables with lower and upper bounds: 65842\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 93723\n", + "Total number of equality constraints.................: 23360\n", "Total number of inequality constraints...............: 0\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 0\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 6.2386510e+00 7.30e+01 3.79e+01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 1 6.2382265e+00 7.28e+01 3.79e+01 -1.0 4.08e+02 - 4.77e-03 1.78e-03h 1\n", - " 2 6.2382821e+00 7.28e+01 1.72e+02 -1.0 1.52e+03 - 8.40e-04 1.77e-05h 1\n", - "Reallocating memory for MA57: lfact (12878142)\n", - " 3r 6.2382821e+00 7.28e+01 9.99e+02 1.9 0.00e+00 - 0.00e+00 8.90e-08R 2\n", - " 4r 6.0263433e+00 6.63e+01 9.97e+02 1.9 7.18e+04 - 1.59e-03 1.26e-04f 1\n", - " 5r 6.0263433e+00 6.63e+01 9.99e+02 1.8 0.00e+00 - 0.00e+00 2.92e-07R 6\n", - " 6r 5.8634867e+00 6.30e+01 9.99e+02 1.8 6.26e+04 - 3.40e-04 1.21e-04f 1\n", - " 7 5.8640710e+00 6.29e+01 3.16e+01 -1.0 3.30e+02 - 9.59e-04 1.42e-03h 1\n", - " 8 5.8640919e+00 6.29e+01 2.27e+02 -1.0 7.43e+02 - 1.92e-03 1.41e-05h 1\n", - " 9r 5.8640919e+00 6.29e+01 9.99e+02 1.8 0.00e+00 - 0.00e+00 7.30e-08R 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 5.7334207e+00 6.03e+01 9.99e+02 1.8 5.46e+04 - 1.54e-04 1.18e-04f 1\n", - " 11r 5.7027469e+00 5.76e+01 9.98e+02 1.1 4.36e+04 - 6.30e-04 1.52e-04f 1\n", - " 12r 5.7027469e+00 5.76e+01 9.99e+02 1.7 0.00e+00 - 0.00e+00 4.28e-07R 5\n", - " 13r 5.5882423e+00 5.51e+01 9.99e+02 1.7 4.51e+04 - 3.65e-04 1.38e-04f 1\n", - " 14 5.5892605e+00 5.51e+01 2.77e+01 -1.0 2.51e+02 - 2.85e-03 1.17e-03h 1\n", - " 15 5.5892822e+00 5.51e+01 7.21e+02 -1.0 6.15e+02 - 2.44e-03 1.16e-05h 1\n", - " 16r 5.5892822e+00 5.51e+01 9.99e+02 1.6 0.00e+00 - 0.00e+00 9.30e-08R 2\n", - " 17r 5.5177729e+00 5.33e+01 9.99e+02 1.6 3.88e+04 - 2.18e-04 1.03e-04f 1\n", - " 18r 5.4876708e+00 5.00e+01 9.98e+02 0.9 2.93e+04 - 7.08e-04 2.31e-04f 1\n", - " 19r 5.4876708e+00 5.00e+01 9.99e+02 1.5 0.00e+00 - 0.00e+00 4.11e-07R 3\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 5.3980923e+00 4.74e+01 9.99e+02 1.5 2.95e+04 - 5.39e-04 1.73e-04f 1\n", - " 21 5.3991551e+00 4.73e+01 2.53e+01 -1.0 1.90e+02 - 2.20e-03 9.94e-04h 1\n", - " 22r 5.3991551e+00 4.73e+01 9.99e+02 1.4 0.00e+00 - 0.00e+00 3.10e-07R 6\n", - " 23r 5.3279521e+00 4.48e+01 9.99e+02 1.4 2.41e+04 - 3.31e-04 1.65e-04f 1\n", - " 24 5.3282700e+00 4.48e+01 2.45e+01 -1.0 1.48e+02 - 2.36e-04 2.64e-04h 1\n", - " 25r 5.3282700e+00 4.48e+01 9.99e+02 1.4 0.00e+00 - 0.00e+00 3.30e-07R 4\n", - " 26r 5.2544765e+00 4.20e+01 9.99e+02 1.4 2.26e+04 - 2.44e-04 1.98e-04f 1\n", - " 27 5.2550394e+00 4.20e+01 2.36e+01 -1.0 1.59e+02 - 4.15e-03 4.69e-04h 1\n", - " 28r 5.2550394e+00 4.20e+01 9.99e+02 1.3 0.00e+00 - 0.00e+00 2.93e-07R 5\n", - " 29r 5.1913969e+00 3.94e+01 9.99e+02 1.3 1.99e+04 - 3.54e-04 2.01e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 5.1915090e+00 3.94e+01 2.29e+01 -1.0 1.41e+02 - 2.86e-04 8.52e-05h 1\n", - " 31r 5.1915090e+00 3.94e+01 9.99e+02 1.2 0.00e+00 - 0.00e+00 4.26e-07R 2\n", - " 32r 5.1235840e+00 3.60e+01 9.99e+02 1.2 1.64e+04 - 2.97e-04 2.60e-04f 1\n", - " 33 5.1238520e+00 3.60e+01 2.22e+01 -1.0 1.21e+02 - 2.19e-03 2.03e-04h 1\n", - " 34r 5.1238520e+00 3.60e+01 9.99e+02 1.2 0.00e+00 - 0.00e+00 2.54e-07R 4\n", - " 35r 5.0633683e+00 3.26e+01 9.98e+02 1.2 1.38e+04 - 5.31e-04 2.81e-04f 1\n", - " 36 5.0634658e+00 3.26e+01 2.16e+01 -1.0 1.08e+02 - 4.52e-04 7.22e-05h 1\n", - "Reallocating memory for MA57: lfact (17998269)\n", - " 37r 5.0634658e+00 3.26e+01 9.99e+02 1.0 0.00e+00 - 0.00e+00 3.61e-07R 2\n", - " 38r 5.0108322e+00 2.87e+01 9.98e+02 1.0 1.02e+04 - 5.54e-04 3.23e-04f 1\n", - " 39 5.0109706e+00 2.87e+01 2.34e+01 -1.0 8.85e+01 - 2.52e-03 1.05e-04h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 5.0109706e+00 2.87e+01 9.99e+02 0.9 0.00e+00 - 0.00e+00 2.61e-07R 3\n", - " 41r 4.9628344e+00 2.47e+01 9.98e+02 0.9 8.23e+03 - 8.10e-04 3.71e-04f 1\n", - " 42 4.9628754e+00 2.47e+01 5.38e+01 -1.0 7.64e+01 - 1.66e-03 3.07e-05h 1\n", - "Reallocating memory for MA57: lfact (19353047)\n", - " 43r 4.9628754e+00 2.47e+01 9.99e+02 0.8 0.00e+00 - 0.00e+00 1.54e-07R 2\n", - " 44r 4.9090696e+00 1.93e+01 9.98e+02 0.8 6.18e+03 - 8.16e-04 5.54e-04f 1\n", - " 45 4.9090931e+00 1.93e+01 3.48e+01 -1.0 5.66e+01 - 6.27e-04 1.78e-05h 1\n", - " 46r 4.9090931e+00 1.93e+01 9.99e+02 0.6 0.00e+00 - 0.00e+00 8.90e-08R 2\n", - " 47r 4.8631830e+00 1.39e+01 9.98e+02 0.6 4.11e+03 - 1.25e-03 6.90e-04f 1\n", - " 48 4.8632283e+00 1.39e+01 5.72e+02 -1.0 4.46e+01 - 1.60e-02 2.85e-05h 1\n", - " 49r 4.8632283e+00 1.39e+01 9.99e+02 0.4 0.00e+00 - 0.00e+00 1.44e-07R 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 4.8245610e+00 7.65e+00 9.93e+02 0.4 2.33e+03 - 6.77e-03 1.03e-03f 1\n", - " 51r 4.8245610e+00 7.65e+00 9.99e+02 -0.1 0.00e+00 - 0.00e+00 3.94e-07R 4\n", - " 52r 4.8085941e+00 2.68e+00 9.97e+02 -0.1 7.61e+02 - 1.86e-03 1.10e-03f 1\n", - " 53 4.8113681e+00 2.68e+00 1.92e+01 -1.0 2.02e+01 - 1.32e-02 1.53e-03f 1\n", - " 54 4.8113960e+00 2.68e+00 4.95e+04 -1.0 2.41e+01 - 6.91e-02 1.54e-05h 1\n", - "Reallocating memory for MA57: lfact (20827368)\n", - " 55 4.8115201e+00 2.68e+00 9.11e+05 -1.0 1.83e+05 - 3.46e-06 1.86e-07f 1\n", - "Reallocating memory for MA57: lfact (27380551)\n", - " 56 4.8141135e+00 2.68e+00 6.22e+05 -1.0 9.66e+05 - 5.87e-07 8.42e-07f 1\n", - " 57 4.8195002e+00 2.68e+00 2.64e+05 -1.0 9.16e+05 - 1.40e-06 1.80e-06f 1\n", - " 58 4.9476819e+00 6.79e+00 2.37e+07 -1.0 8.46e+05 - 3.32e-06 3.93e-05f 1\n", - " 59 4.9537779e+00 6.78e+00 1.77e+07 -1.0 1.95e+05 - 4.84e-05 1.71e-06f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 5.0664890e+00 5.26e+00 1.40e+07 -1.0 3.43e+04 - 2.77e-05 1.71e-05f 1\n", - " 61 5.3668892e+00 4.96e+00 1.28e+07 -1.0 4.07e+04 - 3.14e-05 3.07e-05f 1\n", - " 62 7.1410119e+00 1.21e+02 2.35e+07 -1.0 5.15e+04 - 2.61e-05 3.87e-05f 1\n", - " 63 2.1199001e+00 1.95e+05 1.40e+08 -1.0 2.80e+04 - 4.18e-05 3.12e-04f 1\n", - " 64 5.6170874e+00 1.94e+05 3.89e+10 -1.0 1.55e+05 - 8.14e-09 9.25e-06f 1\n", - " 65 5.0972672e+00 1.94e+05 3.89e+10 -1.0 3.26e+06 - 1.72e-09 3.49e-08f 1\n", - "Reallocating memory for MA57: lfact (29438452)\n", - "Reallocating memory for MA57: lfact (31182154)\n", - " 66 5.1018364e+00 1.32e+05 3.89e+10 -1.0 5.27e-02 12.0 6.20e-04 3.64e-01h 1\n", - "Reallocating memory for MA57: lfact (55358269)\n", - "Reallocating memory for MA57: lfact (90546442)\n", - " 67r 5.1018364e+00 1.32e+05 9.99e+02 4.1 0.00e+00 11.5 0.00e+00 2.41e-07R 2\n", - " 68r 4.2039395e+00 9.26e+04 1.68e+05 4.1 1.38e+07 - 4.71e-03 3.17e-04f 1\n", - " 69 4.3890045e+00 9.24e+04 2.88e+02 -1.0 1.37e+02 - 2.54e-02 2.32e-03h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 4.3895251e+00 9.23e+04 8.68e+03 -1.0 7.92e+02 - 2.42e-02 3.44e-05h 1\n", - " 71 4.4972538e+00 9.18e+04 3.09e+04 -1.0 2.17e+03 - 6.60e-04 5.23e-03h 1\n", - " 72 4.0446300e+00 9.11e+04 4.44e+04 -1.0 1.74e+03 - 6.26e-03 4.13e-03h 1\n", - " 73 3.8538789e+00 9.11e+04 4.44e+04 -1.0 1.90e+03 - 6.58e-04 6.62e-05h 1\n", - " 74 3.6120491e+00 9.11e+04 4.45e+04 -1.0 2.67e+03 - 3.04e-04 4.00e-05f 1\n", - " 75 1.8459344e+00 9.09e+04 4.77e+04 -1.0 3.01e+03 - 3.05e-04 3.47e-04f 1\n", - " 76 -3.7027852e+00 8.29e+04 1.13e+06 -1.0 4.48e+03 - 1.06e-03 2.37e-03f 1\n", - " 77 -3.6950206e+00 8.29e+04 1.13e+06 -1.0 2.16e+03 - 1.44e-06 1.74e-05f 1\n", - " 78 -2.8520494e+00 8.19e+04 1.05e+06 -1.0 2.30e+03 - 3.22e-07 1.27e-03f 1\n", - " 79 -2.8590789e+00 8.19e+04 1.05e+06 -1.0 2.16e+03 - 9.55e-06 1.17e-05h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -2.8690805e+00 8.19e+04 1.05e+06 -1.0 2.43e+03 - 4.36e-06 1.19e-05f 1\n", - " 81 -4.0279446e+00 7.94e+04 1.08e+06 -1.0 2.43e+03 - 5.85e-05 1.77e-03f 1\n", - " 82 -4.0342765e+00 7.94e+04 1.08e+06 -1.0 2.12e+03 - 1.10e-03 3.52e-05h 1\n", - " 83r-4.0342765e+00 7.94e+04 9.99e+02 3.9 0.00e+00 - 0.00e+00 1.79e-07R 2\n", - " 84r-4.0871146e+00 6.07e+04 1.66e+05 3.9 8.27e+06 - 1.07e-02 2.53e-04f 1\n", - " 85 -4.0833018e+00 6.06e+04 4.28e+00 -1.0 3.77e+01 - 5.27e-03 1.04e-03h 1\n", - " 86 -4.0829682e+00 6.06e+04 9.52e+01 -1.0 7.59e+02 - 4.51e-04 2.95e-05h 1\n", - " 87 -3.2625070e+00 5.80e+04 3.96e+05 -1.0 1.19e+03 - 2.11e-03 4.47e-02h 1\n", - " 88 -3.2462811e+00 5.79e+04 3.96e+05 -1.0 1.08e+03 - 4.58e-02 1.01e-03h 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 89 -3.9303580e+00 5.65e+04 4.19e+05 -1.0 2.72e+02 - 1.25e-04 1.70e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90 -4.4836337e+00 5.39e+04 4.44e+05 -1.0 2.79e+02 - 9.79e-04 1.94e-03f 1\n", - " 91 -4.4843917e+00 5.39e+04 4.44e+05 -1.0 2.80e+02 - 2.53e-03 1.97e-05h 1\n", - " 92 -4.4269415e+00 4.80e+04 3.78e+10 -1.0 3.06e+00 11.0 1.27e-02 1.14e-01h 1\n", - " 93r-4.4269415e+00 4.80e+04 9.99e+02 3.7 0.00e+00 - 0.00e+00 1.17e-07R 2\n", - " 94r-4.4731970e+00 1.98e+04 1.39e+05 3.7 5.02e+06 - 5.25e-02 7.99e-04f 1\n", - " 95 -4.4673882e+00 1.98e+04 3.55e+00 -1.0 1.94e+01 - 1.68e-03 1.12e-03h 1\n", - " 96 -4.4672296e+00 1.98e+04 4.99e+01 -1.0 9.35e+01 - 6.01e-04 2.98e-05h 1\n", - " 97 -4.4629794e+00 1.98e+04 4.72e+01 -1.0 2.15e+02 - 2.90e-04 9.92e-04h 1\n", - " 98r-4.4629794e+00 1.98e+04 9.99e+02 3.3 0.00e+00 - 0.00e+00 3.12e-07R 6\n", - " 99r-4.4388942e+00 6.49e+03 8.43e+04 3.3 2.07e+06 - 4.31e-02 9.91e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100 -4.2746492e+00 6.16e+03 9.02e+02 -1.0 4.26e+01 - 1.11e-01 2.96e-02h 1\n", - " 101 -4.0565418e+00 4.55e+03 6.25e+03 -1.0 8.76e+01 - 1.23e-01 8.23e-02h 1\n", - " 102 -3.7911795e+00 4.40e+03 6.36e+03 -1.0 8.46e+01 - 1.28e-01 2.02e-02h 1\n", - " 103 -3.5224016e+00 4.35e+03 6.45e+03 -1.0 1.11e+02 - 3.29e-02 4.60e-03f 1\n", - " 104 -3.1864442e+00 7.53e+03 2.18e+04 -1.0 1.08e+02 - 3.99e-02 6.49e-02f 1\n", - " 105 -3.1780231e+00 7.52e+03 2.18e+04 -1.0 6.13e+01 - 3.89e-02 7.36e-04h 1\n", - " 106 -3.1775997e+00 7.52e+03 2.17e+04 -1.0 3.78e+02 - 1.99e-06 4.37e-05h 1\n", - " 107 -3.0071367e+00 7.16e+03 2.19e+04 -1.0 4.42e+02 - 4.26e-05 1.77e-02f 1\n", - " 108 -3.0059026e+00 7.16e+03 8.05e+04 -1.0 3.90e+02 - 3.31e-02 2.00e-04h 1\n", - " 109r-3.0059026e+00 7.16e+03 1.00e+03 2.9 0.00e+00 - 0.00e+00 2.56e-07R 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r-2.9916181e+00 1.55e+03 4.65e+04 2.9 7.47e+05 - 1.53e-01 9.91e-04f 1\n", - " 111 -2.9897312e+00 1.55e+03 5.16e+02 -1.0 1.29e+01 - 1.45e-01 2.88e-04h 1\n", - " 112r-2.9897312e+00 1.55e+03 9.99e+02 2.4 0.00e+00 - 0.00e+00 2.92e-07R 5\n", - " 113r-2.6890613e+00 5.84e+02 1.41e+04 2.4 2.36e+05 - 1.51e-01 9.93e-04f 1\n", - " 114 -2.6875515e+00 5.84e+02 3.32e+05 -1.0 4.29e+01 - 1.97e-01 2.04e-04h 1\n", - " 115r-2.6875515e+00 5.84e+02 9.99e+02 1.9 0.00e+00 - 0.00e+00 3.74e-07R 5\n", - " 116r-1.9014229e+00 2.06e+02 2.49e+03 1.9 7.54e+04 - 8.60e-02 9.93e-04f 1\n", - " 117 -1.9011532e+00 2.06e+02 9.48e+03 -1.0 5.53e+00 - 3.01e-01 3.27e-05h 1\n", - " 118 -1.8686676e+00 1.66e+02 5.93e+03 -1.0 5.64e+00 - 3.75e-01 2.10e-01h 1\n", - " 119 -1.8685742e+00 1.66e+02 1.09e+04 -1.0 1.14e+02 - 9.78e-06 1.81e-05h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r-1.8685742e+00 1.66e+02 1.00e+03 1.4 0.00e+00 - 0.00e+00 3.09e-07R 6\n", - " 121r-8.3000323e-01 5.80e+01 9.70e+02 1.4 1.99e+04 - 4.87e-02 1.06e-03f 1\n", - " 122 -8.2990908e-01 5.80e+01 5.31e+01 -1.0 7.78e+00 - 6.83e-04 1.31e-05h 1\n", - " 123r-8.2990908e-01 5.80e+01 9.99e+02 1.0 0.00e+00 - 0.00e+00 2.85e-07R 6\n", - " 124r-6.7143001e-01 5.00e+01 9.97e+02 1.0 9.64e+03 - 1.89e-03 2.79e-04f 1\n", - " 125r 5.6908979e-01 1.23e+01 1.74e+03 1.0 1.97e+03 - 7.60e-05 3.28e-03f 1\n", - " 126 5.7148776e-01 1.23e+01 3.01e+02 -1.0 3.63e+01 - 1.34e-01 4.70e-04h 1\n", - " 127 5.7891868e-01 1.23e+01 3.25e+03 -1.0 4.51e+02 - 2.02e-02 2.03e-03h 1\n", - " 128 6.0323982e-01 1.22e+01 1.55e+04 -1.0 4.34e+02 - 3.02e-02 5.52e-03h 1\n", - " 129 6.0570474e-01 1.22e+01 2.90e+05 -1.0 3.77e+02 - 2.63e-02 9.08e-05h 5\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130 6.0985102e-01 1.22e+01 8.24e+05 -1.0 3.88e+02 - 2.66e-02 1.46e-04h 6\n", - " 131 6.1408564e-01 1.22e+01 2.47e+06 -1.0 3.86e+02 - 3.03e-02 1.43e-04h 6\n", - " 132 6.1844754e-01 1.22e+01 9.89e+06 -1.0 3.84e+02 - 3.46e-02 1.40e-04h 6\n", - " 133 6.2293184e-01 1.22e+01 6.06e+07 -1.0 3.83e+02 - 4.52e-02 1.37e-04h 6\n", - " 134 6.2746287e-01 1.22e+01 5.19e+08 -1.0 3.82e+02 - 5.59e-02 1.34e-04h 6\n", - " 135 6.2962252e-01 1.14e+01 2.64e+09 -1.0 2.00e-02 10.6 5.02e-01 6.65e-02h 1\n", - " 136r 6.2962252e-01 1.14e+01 1.00e+03 0.9 0.00e+00 10.1 0.00e+00 7.04e-08R 2\n", - " 137r 1.5317060e+00 6.39e+00 1.44e+03 0.9 5.27e+02 - 3.91e-03 5.86e-03f 1\n", - " 138 1.5319478e+00 6.39e+00 8.17e+03 -1.0 7.44e+00 - 3.61e-01 4.80e-05h 1\n", - " 139 1.5330671e+00 6.39e+00 3.40e+05 -1.0 2.92e+02 - 3.96e-02 9.38e-05h 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140 1.5340281e+00 6.38e+00 1.82e+06 -1.0 3.06e+02 - 4.00e-02 7.99e-05h 4\n", - " 141 1.5348631e+00 6.38e+00 1.70e+08 -1.0 3.03e+02 - 5.36e-02 7.20e-05h 4\n", - " 142 1.6003178e+00 6.69e+00 1.08e+12 -1.0 2.64e-01 9.6 2.31e-02 1.00e+00h 1\n", - " 143 1.6004294e+00 6.69e+00 1.08e+12 -1.0 2.69e+02 - 7.57e-02 4.32e-05h 1\n", - " 144 1.5997320e+00 6.68e+00 1.08e+12 -1.0 2.29e+02 - 5.60e-02 2.18e-04h 3\n", - " 145 1.5988509e+00 6.68e+00 1.43e+12 -1.0 2.43e+02 - 6.30e-02 1.53e-04h 3\n", - " 146 1.5969364e+00 6.68e+00 2.17e+12 -1.0 2.45e+02 - 7.98e-02 2.26e-04h 2\n", - " 147 1.5939839e+00 6.68e+00 5.61e+13 -1.0 1.77e+02 - 1.56e-01 3.05e-04h 1\n", - " 148 1.6025153e+00 6.65e+00 9.46e+14 -1.0 9.03e+00 - 1.22e-01 4.47e-03h 1\n", - " 149 1.6025153e+00 6.65e+00 6.92e+13 -1.0 2.41e-06 19.5 9.90e-01 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150 1.6025153e+00 6.65e+00 8.65e+13 -1.0 1.13e-06 19.9 9.90e-01 1.00e+00h 1\n", - " 151 1.6025153e+00 6.65e+00 2.15e+14 -1.0 8.46e-06 19.4 9.90e-01 9.91e-01h 1\n", - " 152r 1.6025153e+00 6.65e+00 1.00e+03 0.8 0.00e+00 - 0.00e+00 4.12e-07R 2\n", - " 153r 1.6064384e+00 4.55e+00 2.45e+03 0.8 6.16e+03 - 2.85e-03 1.03e-03f 1\n", - " 154 1.6064850e+00 4.55e+00 2.69e+04 -1.0 9.45e+00 - 3.81e-01 1.76e-05h 1\n", - " 155 1.5114071e+00 3.72e+00 1.29e+04 -1.0 9.40e+00 - 5.23e-01 1.82e-01h 1\n", - " 156r 1.5114071e+00 3.72e+00 1.00e+03 0.6 0.00e+00 - 0.00e+00 3.60e-07R 5\n", - " 157r 1.5176002e+00 3.01e+00 9.96e+02 0.6 1.12e+03 - 9.10e-03 7.52e-04f 1\n", - " 158 1.5176267e+00 3.01e+00 5.18e+04 -1.0 7.47e+00 - 4.67e-01 1.20e-05h 1\n", - " 159r 1.5176267e+00 3.01e+00 9.99e+02 0.5 0.00e+00 - 0.00e+00 4.85e-07R 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r 1.5437894e+00 1.06e+00 9.95e+02 0.5 7.72e+02 - 8.99e-03 2.52e-03f 1\n", - " 161 1.5438498e+00 1.06e+00 2.55e+02 -1.0 6.59e+00 - 5.33e-03 2.83e-05h 1\n", - " 162r 1.5438498e+00 1.06e+00 9.99e+02 0.0 0.00e+00 - 0.00e+00 3.44e-07R 5\n", - " 163r 1.6187323e+00 1.72e+00 9.97e+02 0.0 3.37e+02 - 5.70e-04 2.93e-03f 1\n", - " 164r 1.6510735e+00 1.70e+00 1.72e+03 0.0 6.81e+01 - 6.55e-03 2.37e-03f 1\n", - " 165r 1.6959435e+00 5.23e+00 1.70e+03 0.0 5.56e+01 - 1.37e-02 1.08e-02f 1\n", - " 166r 1.6611852e+00 7.10e+02 3.40e+04 0.0 7.50e+01 - 9.30e-03 2.45e-02f 1\n", - " 167r 1.6676625e+00 6.55e+02 3.12e+04 0.0 3.24e-01 4.0 2.12e-02 8.02e-02f 1\n", - " 168r 1.6694820e+00 5.98e+02 2.83e+04 0.0 3.07e-01 3.5 4.20e-01 8.88e-02f 1\n", - " 169r 1.6685833e+00 5.10e+02 2.37e+04 0.0 4.05e-01 3.0 4.40e-01 1.57e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r 1.6646852e+00 3.71e+02 1.67e+04 0.0 4.02e-01 2.6 9.39e-01 3.00e-01f 1\n", - " 171r 1.6591374e+00 1.14e+02 7.26e+03 0.0 2.63e-01 3.0 6.21e-01 1.00e+00f 1\n", - " 172r 1.6536120e+00 8.68e+01 1.42e+04 0.0 9.76e-01 2.5 7.13e-01 2.67e-01f 1\n", - " 173r 1.6426070e+00 6.94e+01 1.10e+04 0.0 1.07e+00 2.0 2.54e-01 2.17e-01f 1\n", - " 174r 1.6284933e+00 3.33e+01 5.13e+03 0.0 4.13e-01 2.5 6.67e-01 6.73e-01f 1\n", - " 175r 1.5935100e+00 1.54e+01 2.27e+04 0.0 1.90e+00 2.0 6.06e-01 7.20e-01f 1\n", - " 176r 1.5929822e+00 1.23e+01 1.64e+05 0.0 2.21e+00 3.3 1.75e-01 2.22e-01f 1\n", - " 177r 1.5859536e+00 5.02e+00 5.55e+04 0.0 1.72e+00 2.8 4.75e-01 9.96e-01f 1\n", - " 178r 1.5859512e+00 4.72e+00 5.17e+04 0.0 1.53e-01 5.1 5.79e-02 6.60e-02h 1\n", - " 179r 1.5859174e+00 3.88e+00 9.40e+04 0.0 1.17e-01 4.6 1.67e-01 2.79e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r 1.5858398e+00 3.60e+00 3.68e+05 0.0 2.78e-01 4.1 1.62e-01 2.08e-01h 1\n", - " 181r 1.5858378e+00 3.56e+00 3.63e+05 0.0 3.13e+00 4.5 4.66e-03 1.44e-02h 1\n", - " 182r 1.5858026e+00 2.31e+00 1.90e+05 0.0 1.78e+00 5.0 5.37e-03 6.98e-01h 1\n", - " 183r 1.5857472e+00 2.12e+00 1.46e+05 0.0 5.52e-01 4.5 1.00e+00 3.51e-01h 1\n", - " 184r 1.5854674e+00 1.88e+00 9.10e+04 0.0 3.96e-01 4.0 4.77e-01 5.90e-01h 1\n", - " 185r 1.5853078e+00 1.74e+00 5.00e+04 0.0 1.61e-01 4.4 8.45e-01 8.98e-01h 1\n", - " 186r 1.5853077e+00 1.74e+00 4.96e+04 0.0 2.75e+00 4.9 2.08e-03 3.86e-04h 1\n", - " 187r 1.5852907e+00 1.73e+00 5.97e+03 0.0 1.55e-02 5.3 8.21e-01 6.83e-01h 1\n", - " 188r 1.5852678e+00 1.71e+00 6.71e+03 0.0 4.90e-02 4.8 2.18e-01 3.06e-01f 1\n", - " 189r 1.5852396e+00 1.71e+00 1.62e+04 0.0 4.74e-03 5.2 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190r 1.5851553e+00 1.70e+00 5.31e+02 0.0 9.10e-03 4.8 1.00e+00 1.00e+00f 1\n", - " 191r 1.5849859e+00 1.67e+00 7.19e+02 0.0 3.48e-02 4.3 1.00e+00 6.71e-01f 1\n", - " 192r 1.5842952e+00 1.49e+00 1.44e+06 0.0 3.04e-01 3.8 2.86e-01 9.20e-01f 1\n", - " 193r 1.5842933e+00 1.34e+00 1.36e+06 0.0 5.48e-02 5.1 1.98e-01 5.55e-02f 1\n", - " 194r 1.5842114e+00 2.97e-01 4.70e+05 0.0 9.05e-02 4.7 1.50e-01 7.76e-01h 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 195 1.5931545e+00 2.96e-01 4.86e+01 -1.0 3.55e+00 - 4.69e-01 4.63e-03h 7\n", - " 196 1.6019471e+00 2.95e-01 6.05e+01 -1.0 4.34e+00 - 5.73e-01 4.62e-03h 7\n", - " 197 1.6040463e+00 2.94e-01 6.64e+01 -1.0 6.59e+00 - 9.59e-02 1.15e-03h 9\n", - " 198 1.6061191e+00 2.94e-01 1.24e+02 -1.0 7.02e+00 - 5.91e-01 1.15e-03h 9\n", - " 199 1.8631653e+00 1.14e+01 6.91e+03 -1.0 1.21e+01 - 4.50e-02 1.46e-01f 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200 2.0721487e+00 1.64e+01 1.03e+04 -1.0 1.30e+01 - 1.59e-01 1.29e-01f 2\n", - " 201 2.5125539e+00 4.58e+00 2.17e+04 -1.0 9.64e+00 - 2.48e-01 2.36e-01F 1\n", - " 202 2.5290806e+00 4.53e+00 2.18e+04 -1.0 9.99e+00 - 2.23e-01 7.53e-03f 1\n", - " 203 2.5289962e+00 4.53e+00 6.90e+06 -1.0 1.87e+02 - 8.71e-02 8.30e-05h 1\n", - " 204r 2.5289962e+00 4.53e+00 1.00e+03 0.7 0.00e+00 - 0.00e+00 2.60e-07R 12\n", - " 205r 2.5145963e+00 1.12e+00 1.88e+03 0.7 4.53e+03 - 3.43e-01 9.90e-04f 1\n", - " 206 2.5147261e+00 1.12e+00 2.76e+04 -1.0 2.41e+00 - 7.56e-01 6.80e-05h 1\n", - " 207 1.9964884e+00 4.21e+00 1.01e+04 -1.0 4.29e+00 - 6.34e-01 2.88e-01h 1\n", - " 208r 1.9964884e+00 4.21e+00 1.00e+03 0.6 0.00e+00 - 0.00e+00 4.23e-07R 7\n", - " 209r 1.9792325e+00 8.59e-01 9.48e+02 0.6 4.18e+03 - 5.13e-02 9.98e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 210 1.9794274e+00 8.59e-01 2.19e+04 -1.0 1.92e+00 - 7.84e-01 1.10e-04h 1\n", - " 211 1.5234017e+00 2.49e+00 1.01e+04 -1.0 3.88e+00 - 5.41e-01 2.89e-01h 1\n", - " 212r 1.5234017e+00 2.49e+00 1.00e+03 0.4 0.00e+00 - 0.00e+00 3.72e-07R 8\n", - " 213r 1.5157393e+00 6.23e-01 9.08e+02 0.4 2.49e+03 - 9.13e-02 9.91e-04f 1\n", - " 214 1.5159338e+00 6.23e-01 3.02e+04 -1.0 1.51e+00 - 8.64e-01 1.11e-04h 1\n", - " 215 1.5132542e+00 6.24e-01 3.02e+04 -1.0 1.04e+03 - 2.76e-05 2.76e-05s 7\n", - " 216 1.5077674e+00 6.27e-01 3.02e+04 -1.0 1.56e+03 - 4.32e-05 4.32e-05s 7\n", - " 217r 1.5077674e+00 6.27e-01 1.00e+03 -0.2 0.00e+00 - 0.00e+00 0.00e+00R 1\n", - " 218r 1.5068280e+00 3.95e-01 8.80e+02 -0.2 6.27e+02 - 1.21e-01 9.90e-04f 1\n", - " 219 1.5068594e+00 3.95e-01 1.87e+05 -1.0 1.49e+00 - 8.72e-01 1.84e-05h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 220 1.1778400e+00 1.46e+00 9.50e+04 -1.0 4.68e+00 - 4.93e-01 2.36e-01f 3\n", - " 221r 1.1778400e+00 1.46e+00 1.00e+03 0.2 0.00e+00 - 0.00e+00 4.77e-07R 9\n", - " 222r 1.1743123e+00 3.98e-01 8.80e+02 0.2 1.46e+03 - 1.20e-01 9.91e-04f 1\n", - " 223 1.1744243e+00 3.98e-01 6.73e+04 -1.0 1.28e+00 - 8.47e-01 6.15e-05h 1\n", - " 224 1.1708714e+00 3.98e-01 6.73e+04 -1.0 1.30e+03 - 4.09e-05 4.09e-05s 8\n", - " 225 1.1537167e+00 4.07e-01 6.73e+04 -1.0 1.32e+03 - 1.34e-04 1.34e-04s 8\n", - " 226r 1.1537167e+00 4.07e-01 1.00e+03 -0.4 0.00e+00 - 0.00e+00 0.00e+00R 1\n", - " 227r 1.1539935e+00 3.20e-01 9.72e+02 -0.4 4.07e+02 - 2.72e-02 9.91e-04f 1\n", - " 228 1.1540227e+00 3.20e-01 2.74e+05 -1.0 1.25e+00 - 8.84e-01 1.61e-05h 1\n", - " 229 8.6801118e-01 2.74e+00 1.44e+05 -1.0 4.60e+00 - 4.73e-01 2.50e-01f 3\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 230r 8.6801118e-01 2.74e+00 1.00e+03 0.4 0.00e+00 - 0.00e+00 3.50e-07R 10\n", - " 231r 8.6396090e-01 6.73e-01 9.32e+02 0.4 2.74e+03 - 6.67e-02 9.91e-04f 1\n", - " 232 8.6425108e-01 6.73e-01 3.32e+04 -1.0 1.10e+00 - 7.85e-01 1.50e-04h 1\n", - " 233r 8.6425108e-01 6.73e-01 1.00e+03 -0.2 0.00e+00 - 0.00e+00 3.22e-07R 7\n", - " 234r 8.6384328e-01 3.09e-01 9.50e+02 -0.2 6.73e+02 - 5.37e-02 9.91e-04f 1\n", - " 235 8.6391522e-01 3.09e-01 1.37e+05 -1.0 1.08e+00 - 8.06e-01 3.75e-05h 1\n", - " 236 3.5285780e-01 7.89e+00 7.68e+04 -1.0 3.01e+00 - 4.41e-01 5.00e-01f 2\n", - " 237 3.5163525e-01 7.89e+00 1.79e+07 -1.0 5.09e+02 - 2.67e-02 2.85e-05h 3\n", - " 238r 3.5163525e-01 7.89e+00 1.00e+03 0.9 0.00e+00 - 0.00e+00 3.95e-07R 13\n", - " 239r 3.4710140e-01 1.97e+00 1.17e+03 0.9 7.89e+03 - 7.40e-02 9.91e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 240 3.4863649e-01 1.97e+00 1.05e+04 -1.0 8.43e-01 - 7.74e-01 7.94e-04h 1\n", - " 241 3.4830631e-01 1.97e+00 3.09e+07 -1.0 1.98e+02 - 6.69e-02 2.26e-05h 1\n", - " 242r 3.4830631e-01 1.97e+00 1.00e+03 0.3 0.00e+00 - 0.00e+00 4.01e-07R 13\n", - " 243r 3.4655510e-01 5.06e-01 9.51e+02 0.3 1.97e+03 - 4.87e-02 9.90e-04f 1\n", - " 244 3.4692563e-01 5.06e-01 4.39e+04 -1.0 8.40e-01 - 7.79e-01 1.92e-04h 1\n", - " 245 -3.0799916e-01 9.82e+00 1.87e+04 -1.0 2.44e+00 - 5.73e-01 1.00e+00f 1\n", - " 246 -3.0601273e-01 9.81e+00 1.62e+07 -1.0 5.16e+00 - 7.98e-01 9.18e-04h 1\n", - " 247 -2.9718521e-01 9.54e+00 5.29e+07 -1.0 3.98e+02 - 3.00e-02 1.11e-03h 2\n", - " 248 -2.8827941e-01 9.41e+00 2.56e+08 -1.0 3.98e+02 - 4.54e-02 6.84e-04h 3\n", - " 249 -2.9002762e-01 9.41e+00 1.58e+09 -1.0 3.99e+02 - 3.52e-02 8.85e-05h 6\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 250 -2.9159569e-01 9.41e+00 1.51e+10 -1.0 3.99e+02 - 3.78e-02 4.34e-05h 7\n", - " 251 -2.9255180e-01 9.41e+00 2.79e+11 -1.0 3.99e+02 - 6.38e-02 2.15e-05h 8\n", - " 252 -4.1747258e-01 7.75e+00 7.31e+12 -1.0 3.99e+02 - 8.60e-02 2.74e-03h 1\n", - " 253 -4.1747258e-01 7.72e+00 2.88e+13 -1.0 3.38e-06 18.9 9.90e-01 1.00e+00h 1\n", - "Reallocating memory for MA57: lfact (108802295)\n", - " 254 -4.1747258e-01 7.58e+00 5.57e+13 -1.0 1.96e-05 18.5 9.90e-01 1.00e+00h 1\n", - "Reallocating memory for MA57: lfact (119949649)\n", - " 255 -4.1747258e-01 7.55e+00 7.46e+13 -1.0 7.94e-05 18.0 9.92e-01 9.69e-01h 1\n", - " 256 -4.1747258e-01 7.50e+00 7.28e+13 -1.0 2.31e-04 17.5 1.00e+00 1.00e+00h 1\n", - " 257 -4.1747257e-01 8.65e+00 5.47e+13 -1.0 5.20e-04 17.0 1.00e+00 1.00e+00h 1\n", - "Reallocating memory for MA57: lfact (129815880)\n", - " 258 -4.1747255e-01 6.70e+00 2.82e+13 -1.0 9.73e-04 16.5 1.00e+00 1.00e+00H 1\n", - " 259 -4.1747255e-01 7.08e+00 2.60e+13 -1.0 2.78e-04 17.0 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 260 -4.1747252e-01 7.54e+00 2.41e+13 -1.0 7.72e-04 16.5 1.00e+00 1.00e+00h 1\n", - "Reallocating memory for MA57: lfact (148649046)\n", - " 261 -4.1747251e-01 7.50e+00 2.15e+13 -1.0 2.58e-04 16.9 1.00e+00 1.00e+00h 1\n", - " 262 -4.1747247e-01 7.84e+00 1.76e+13 -1.0 6.34e-04 16.4 1.00e+00 1.00e+00h 1\n", - " 263 -4.1747246e-01 7.54e+00 1.69e+13 -1.0 2.28e-04 16.9 1.00e+00 1.00e+00h 1\n", - " 264 -4.1747241e-01 7.92e+00 1.54e+13 -1.0 6.28e-04 16.4 1.00e+00 1.00e+00h 1\n", - " 265 -4.1747239e-01 7.90e+00 1.41e+13 -1.0 2.15e-04 16.8 1.00e+00 1.00e+00h 1\n", - " 266 -4.1747232e-01 6.78e+00 1.38e+13 -1.0 6.32e-04 16.3 1.00e+00 1.00e+00h 1\n", - " 267 -4.1747230e-01 6.02e+00 1.28e+13 -1.0 2.20e-04 16.8 1.00e+00 1.00e+00h 1\n", - " 268 -4.1747229e-01 5.84e+00 1.25e+13 -1.0 7.31e-04 16.3 1.00e+00 7.58e-02h 1\n", - " 269 -4.1747229e-01 5.84e+00 2.71e+13 -1.0 5.97e-07 19.4 1.00e+00 1.00e+00h 1\n", - "WARNING: Problem in step computation; switching to emergency mode.\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 270r-4.1747229e-01 5.84e+00 1.00e+03 0.8 0.00e+00 19.9 0.00e+00 0.00e+00R 1\n", - " 271r-4.1810499e-01 2.37e+00 4.56e+03 0.8 5.84e+03 - 6.77e-03 9.90e-04f 1\n", - " 272 -2.8216332e-01 2.24e+00 1.02e+02 -1.0 2.37e+00 - 5.38e-02 5.27e-02h 1\n", - " 273 -2.8046112e-01 2.24e+00 2.28e+05 -1.0 2.16e+00 - 4.97e-01 6.79e-04h 1\n", - " 274r-2.8046112e-01 2.24e+00 1.00e+03 0.4 0.00e+00 - 0.00e+00 4.26e-07R 5\n", - " 275r-2.7886965e-01 1.37e+00 9.97e+02 0.4 1.33e+03 - 5.09e-03 1.30e-03f 1\n", - " 276 -2.6666285e-01 1.36e+00 8.45e+03 -1.0 1.85e+00 - 2.51e-01 5.00e-03h 1\n", - " 277 -2.6653720e-01 1.36e+00 4.82e+07 -1.0 1.84e+00 - 2.84e-01 5.12e-05h 1\n", - " 278r-2.6653720e-01 1.36e+00 9.99e+02 0.1 0.00e+00 - 0.00e+00 2.56e-07R 2\n", - " 279r-2.6385279e-01 9.82e-01 9.98e+02 0.1 6.23e+02 - 1.74e-03 1.52e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 280 -2.5566017e-01 9.78e-01 1.58e+04 -1.0 1.71e+00 - 3.28e-01 3.58e-03h 1\n", - " 281 -2.5557460e-01 9.78e-01 2.04e+08 -1.0 1.76e+00 - 4.63e-01 3.64e-05h 1\n", - " 282r-2.5557460e-01 9.78e-01 1.00e+03 -0.0 0.00e+00 - 0.00e+00 1.82e-07R 2\n", - " 283r-2.5288977e-01 2.34e-01 9.88e+02 -0.0 9.57e+02 - 2.17e-02 1.01e-03f 1\n" + " 0 0.0000000e+00 7.30e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (2556663)\n", + " 1 0.0000000e+00 7.28e+01 3.62e+02 -1.0 5.56e+00 - 6.40e-01 1.78e-03h 1\n", + "Reallocating memory for MA57: lfact (3101558)\n", + " 2 0.0000000e+00 7.28e+01 9.70e+06 -1.0 5.58e+00 - 4.79e-01 1.77e-05h 1\n", + "Reallocating memory for MA57: lfact (3621647)\n", + " 3 0.0000000e+00 3.01e+01 9.44e+06 -1.0 1.52e+00 - 2.71e-02 7.77e-01f 1\n", + " 4 0.0000000e+00 9.15e+00 7.35e+06 -1.0 8.11e-01 - 2.21e-01 1.00e+00h 1\n", + " 5 0.0000000e+00 2.78e+00 4.28e+06 -1.0 1.05e+00 - 4.18e-01 1.00e+00h 1\n", + " 6 0.0000000e+00 8.46e-01 1.81e+06 -1.0 3.86e-01 - 5.77e-01 1.00e+00h 1\n", + " 7r 0.0000000e+00 8.46e-01 1.00e+03 -0.1 0.00e+00 - 0.00e+00 3.22e-07R 3\n", + " 8r 0.0000000e+00 6.17e-01 9.86e+02 -0.1 7.94e+02 - 1.42e-02 1.05e-03f 1\n", + "Reallocating memory for MA57: lfact (3901655)\n", + " 9r 0.0000000e+00 3.07e-01 8.99e+02 -0.1 1.38e+01 - 1.71e-01 1.41e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.43e+00 6.44e+02 -0.1 3.06e+00 - 2.74e-01 1.85e-01f 1\n", + " 11r 0.0000000e+00 1.74e+02 1.29e+04 -0.1 2.61e+00 - 4.82e-01 6.00e-01f 1\n", + " 12r 0.0000000e+00 6.98e+01 4.35e+03 -0.1 9.48e-01 2.0 7.96e-01 7.95e-01f 1\n", + " 13r 0.0000000e+00 4.38e+01 2.18e+04 -0.1 7.83e-01 2.4 4.93e-01 4.40e-01f 1\n", + " 14r 0.0000000e+00 1.75e+01 1.35e+05 -0.1 1.77e+00 1.9 7.57e-01 8.38e-01f 1\n", + "Reallocating memory for MA57: lfact (4589974)\n", + " 15r 0.0000000e+00 1.73e+01 1.33e+05 -0.1 1.63e+00 3.3 2.59e-02 1.14e-02h 1\n", + " 16r 0.0000000e+00 1.30e+01 9.92e+04 -0.1 4.83e-01 2.8 1.54e-02 2.79e-01h 1\n", + " 17r 0.0000000e+00 1.26e+01 9.57e+04 -0.1 1.68e+00 3.2 2.59e-02 3.43e-02h 1\n", + " 18r 0.0000000e+00 1.04e+01 7.81e+04 -0.1 1.97e+00 2.7 3.14e-02 1.92e-01h 1\n", + " 19r 0.0000000e+00 6.26e+00 4.18e+04 -0.1 2.87e-01 3.2 6.57e-01 5.22e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 5.57e+00 3.68e+04 -0.1 2.49e+00 2.7 3.35e-02 1.20e-01h 1\n", + " 21r 0.0000000e+00 4.37e+00 2.70e+04 -0.1 2.50e+00 2.2 1.39e-01 2.74e-01h 1\n", + " 22r 0.0000000e+00 4.24e+00 2.62e+04 -0.1 1.21e+00 3.6 1.27e-02 3.10e-02h 1\n", + " 23r 0.0000000e+00 3.99e+00 2.45e+04 -0.1 1.71e+00 3.1 3.12e-02 6.61e-02h 1\n", + " 24r 0.0000000e+00 3.84e+00 2.35e+04 -0.1 1.13e+00 3.5 1.69e-02 3.86e-02h 1\n", + " 25r 0.0000000e+00 3.50e+00 2.08e+04 -0.1 1.58e+00 3.0 2.52e-02 1.16e-01h 1\n", + "Reallocating memory for MA57: lfact (5043088)\n", + " 26r 0.0000000e+00 3.36e+00 2.38e+04 -0.1 4.04e-01 4.4 1.44e-02 5.99e-02h 1\n", + " 27r 0.0000000e+00 3.18e+00 1.69e+05 -0.1 4.61e-01 3.9 2.18e-02 1.79e-01h 1\n", + " 28r 0.0000000e+00 3.15e+00 5.40e+04 -0.1 2.97e-01 4.3 1.09e-01 1.00e+00h 1\n", + " 29r 0.0000000e+00 3.13e+00 2.18e+04 -0.1 1.12e-01 3.8 9.83e-01 7.43e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.13e+00 1.95e+04 -0.1 3.41e-01 3.3 9.09e-01 4.21e-02f 1\n", + " 31r 0.0000000e+00 3.03e+00 1.48e+05 -0.1 4.22e-01 2.9 1.79e-01 7.51e-01f 1\n", + " 32r 0.0000000e+00 3.03e+00 9.54e+04 -0.1 9.33e-02 4.2 3.65e-01 6.10e-01f 1\n", + " 33r 0.0000000e+00 3.02e+00 4.39e+04 -0.1 1.95e-01 3.7 9.67e-01 5.21e-01f 1\n", + " 34r 0.0000000e+00 3.02e+00 4.24e+04 -0.1 1.44e+00 3.2 5.07e-01 3.25e-02f 1\n", + " 35r 0.0000000e+00 3.01e+00 4.18e+04 -0.1 2.17e-01 2.8 5.65e-01 1.42e-02f 1\n", + " 36r 0.0000000e+00 2.97e+00 1.56e+04 -0.1 6.50e-02 3.2 1.00e+00 6.83e-01f 1\n", + " 37r 0.0000000e+00 2.95e+00 1.09e+03 -0.1 2.70e-02 3.6 1.00e+00 1.00e+00f 1\n", + " 38r 0.0000000e+00 2.94e+00 1.46e+02 -0.1 1.17e-02 4.0 1.00e+00 1.00e+00f 1\n", + " 39r 0.0000000e+00 2.91e+00 8.04e+03 -0.1 8.17e-02 3.6 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 2.90e+00 6.73e+03 -0.1 5.41e-02 4.0 1.00e+00 1.00e+00f 1\n", + " 41r 0.0000000e+00 2.90e+00 8.76e+03 -0.1 3.87e-01 3.5 3.28e-01 2.20e-01f 1\n", + " 42r 0.0000000e+00 2.84e+00 2.12e+03 -0.1 9.31e-02 3.0 1.00e+00 5.90e-01f 1\n", + " 43r 0.0000000e+00 2.56e+00 4.41e+04 -0.1 3.82e-01 2.6 7.50e-01 1.00e+00f 1\n", + " 44r 0.0000000e+00 2.55e+00 5.30e+04 -0.1 1.47e-01 3.9 1.00e+00 1.00e+00f 1\n", + " 45r 0.0000000e+00 2.55e+00 4.93e+04 -0.1 2.32e-02 4.3 1.00e+00 7.17e-02h 1\n", + " 46r 0.0000000e+00 2.53e+00 1.77e+03 -0.1 1.06e-01 3.8 1.00e+00 9.78e-01f 1\n", + " 47r 0.0000000e+00 2.53e+00 3.71e+03 -0.1 7.85e-01 3.4 1.23e-01 8.35e-02f 1\n", + " 48r 0.0000000e+00 2.47e+00 3.20e+03 -0.1 1.98e-01 2.9 7.65e-01 4.25e-01f 1\n", + " 49r 0.0000000e+00 2.47e+00 5.05e+04 -0.1 1.03e+00 3.3 2.95e-01 1.81e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 2.45e+00 2.59e+03 -0.1 2.09e-01 3.7 3.92e-01 6.81e-01f 1\n", + " 51r 0.0000000e+00 2.45e+00 2.46e+03 -0.1 2.25e-02 4.2 1.00e+00 6.31e-02h 1\n", + " 52r 0.0000000e+00 2.43e+00 3.25e+03 -0.1 4.33e-02 3.7 1.00e+00 1.00e+00f 1\n", + " 53r 0.0000000e+00 2.42e+00 3.21e+02 -0.1 2.48e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 54r 0.0000000e+00 2.41e+00 7.99e+03 -0.1 3.56e-01 3.6 5.59e-01 4.90e-01f 1\n", + " 55r 0.0000000e+00 2.41e+00 7.49e+03 -0.1 9.22e-01 3.2 1.98e-01 3.66e-02f 1\n", + " 56r 0.0000000e+00 2.40e+00 7.11e+03 -0.1 4.80e-01 2.7 4.23e-01 4.31e-02f 1\n", + " 57r 0.0000000e+00 2.32e+00 1.70e+04 -0.1 1.18e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 58r 0.0000000e+00 2.30e+00 6.15e+04 -0.1 3.54e-01 3.5 4.03e-01 6.04e-01f 1\n", + " 59r 0.0000000e+00 2.29e+00 3.94e+04 -0.1 9.57e-02 4.0 5.05e-01 5.42e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 2.29e+00 3.12e+04 -0.1 3.62e-01 3.5 6.88e-01 1.78e-01f 1\n", + " 61r 0.0000000e+00 2.27e+00 1.33e+04 -0.1 5.82e-02 3.9 1.00e+00 1.00e+00f 1\n", + " 62r 0.0000000e+00 2.27e+00 2.71e+03 -0.1 3.08e-02 4.3 1.00e+00 1.00e+00f 1\n", + " 63r 0.0000000e+00 2.25e+00 5.28e+03 -0.1 8.83e-02 3.9 1.00e+00 1.00e+00f 1\n", + " 64r 0.0000000e+00 2.25e+00 4.95e+03 -0.1 4.83e-01 3.4 4.56e-01 4.34e-02f 1\n", + " 65r 0.0000000e+00 2.24e+00 4.53e+03 -0.1 1.38e-01 2.9 1.00e+00 9.89e-02f 1\n", + " 66r 0.0000000e+00 1.60e+00 2.00e+04 -0.1 4.62e-01 2.4 1.00e+00 1.00e+00f 1\n", + " 67r 0.0000000e+00 1.14e+00 7.06e+03 -0.1 2.24e-01 3.8 7.83e-01 8.07e-01f 1\n", + " 68r 0.0000000e+00 1.65e+00 5.16e+03 -0.1 7.71e-01 3.3 1.00e+00 8.55e-02f 1\n", + " 69r 0.0000000e+00 1.70e+00 4.70e+03 -0.1 2.48e-01 2.8 1.00e+00 8.29e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 2.84e-01 1.53e+04 -0.1 4.24e-02 2.3 1.00e+00 1.00e+00f 1\n", + " 71r 0.0000000e+00 1.95e-01 1.44e+03 -0.1 7.59e-02 1.8 1.00e+00 1.00e+00f 1\n", + " 72r 0.0000000e+00 5.19e+00 2.11e+02 -0.1 2.88e-01 1.4 1.00e+00 1.00e+00f 1\n", + " 73r 0.0000000e+00 7.58e-01 3.93e+02 -0.1 1.55e-01 1.8 1.00e+00 1.00e+00f 1\n", + " 74r 0.0000000e+00 4.53e+00 1.84e+02 -0.1 2.17e-01 1.3 1.00e+00 1.00e+00f 1\n", + " 75r 0.0000000e+00 2.11e+01 3.07e+02 -0.1 1.60e+01 - 9.80e-02 7.64e-02f 1\n", + " 76r 0.0000000e+00 1.21e+01 2.03e+02 -0.1 1.12e+00 0.8 1.00e+00 4.82e-01f 1\n", + " 77r 0.0000000e+00 5.72e-01 4.68e+01 -0.1 5.81e-01 1.3 1.00e+00 1.00e+00f 1\n", + " 78r 0.0000000e+00 1.89e+02 2.65e+04 -0.1 5.63e+00 0.8 1.43e-01 2.52e-01f 1\n", + " 79r 0.0000000e+00 1.19e+02 1.62e+04 -0.1 9.59e-01 2.1 5.45e-01 3.52e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 7.95e+00 1.09e+03 -0.1 2.21e+00 1.6 1.00e+00 1.00e+00h 1\n", + " 81r 0.0000000e+00 6.78e+00 3.13e+03 -0.1 4.50e-01 1.2 1.00e+00 9.95e-01f 1\n", + " 82r 0.0000000e+00 2.27e+02 2.60e+04 -0.1 5.31e+00 0.7 5.13e-01 9.90e-01f 1\n", + " 83r 0.0000000e+00 9.30e+01 9.46e+03 -0.1 2.71e-01 2.0 6.65e-01 7.62e-01f 1\n", + " 84r 0.0000000e+00 3.18e+01 3.17e+03 -0.1 4.87e-01 1.5 9.56e-01 9.33e-01f 1\n", + " 85r 0.0000000e+00 1.09e+01 6.57e+03 -0.1 4.99e-01 2.0 1.00e+00 1.00e+00f 1\n", + " 86r 0.0000000e+00 4.68e+00 2.21e+04 -0.1 1.86e-01 1.5 1.00e+00 1.00e+00f 1\n", + " 87r 0.0000000e+00 4.10e+00 1.86e+04 -0.1 6.03e-01 2.8 2.00e-01 1.67e-01h 1\n", + " 88r 0.0000000e+00 3.92e+00 1.75e+04 -0.1 2.75e+00 3.2 4.04e-02 5.60e-02h 1\n", + " 89r 0.0000000e+00 3.66e+00 1.84e+04 -0.1 9.52e-01 2.8 7.17e-03 1.77e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 3.50e+00 1.87e+04 -0.1 3.50e+00 3.2 4.23e-02 4.61e-02h 1\n", + " 91r 0.0000000e+00 2.05e+00 1.36e+04 -0.1 1.44e+00 2.7 5.13e-03 1.00e+00h 1\n", + " 92r 0.0000000e+00 6.96e-01 5.89e+04 -0.1 1.33e+00 2.2 4.03e-01 1.00e+00f 1\n", + " 93r 0.0000000e+00 6.46e-01 9.32e+03 -0.1 3.92e-02 4.5 1.00e+00 1.00e+00f 1\n", + " 94r 0.0000000e+00 9.51e-01 6.26e+04 -0.1 1.12e-01 4.0 5.83e-01 1.00e+00f 1\n", + " 95r 0.0000000e+00 9.51e-01 5.73e+04 -0.1 9.28e-01 3.5 2.97e-01 8.42e-02f 1\n", + " 96r 0.0000000e+00 1.04e+00 5.38e+04 -0.1 6.27e-01 3.0 1.00e+00 5.94e-02f 1\n", + " 97r 0.0000000e+00 1.96e-01 6.67e+03 -0.1 3.26e-02 2.6 1.00e+00 1.00e+00f 1\n", + " 98r 0.0000000e+00 5.16e-02 4.68e+02 -0.1 2.92e-02 2.1 1.00e+00 1.00e+00f 1\n", + " 99r 0.0000000e+00 4.82e-01 5.10e+01 -0.1 1.10e-01 1.6 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 1.68e+02 3.85e+04 -0.1 8.00e-01 1.1 4.97e-01 8.25e-01f 1\n", + " 101r 0.0000000e+00 1.09e+02 2.14e+04 -0.1 2.14e-01 3.4 7.85e-01 4.12e-01f 1\n", + " 102r 0.0000000e+00 3.54e+01 3.15e+04 -0.1 1.96e-01 3.8 7.56e-01 1.00e+00h 1\n", + " 103r 0.0000000e+00 3.46e+01 3.08e+04 -0.1 3.68e-01 3.3 1.00e+00 2.30e-02h 1\n", + " 104r 0.0000000e+00 1.13e+01 3.93e+04 -0.1 1.63e-01 3.7 1.00e+00 1.00e+00h 1\n", + " 105r 0.0000000e+00 5.08e+00 3.68e+04 -0.1 2.74e+00 3.3 2.23e-01 5.31e-02f 1\n", + " 106r 0.0000000e+00 1.25e+00 2.25e+04 -0.1 1.17e+00 2.8 7.04e-01 2.04e-01f 1\n", + " 107r 0.0000000e+00 8.13e-01 5.31e+03 -0.1 1.11e-01 2.3 1.00e+00 1.00e+00f 1\n", + " 108r 0.0000000e+00 3.90e-01 3.50e+03 -0.1 1.43e-01 2.7 8.60e-01 5.32e-01h 1\n", + " 109r 0.0000000e+00 1.94e-02 8.15e+01 -0.1 1.75e-02 2.3 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 2.09e-01 1.36e+01 -0.1 5.88e-02 1.8 1.00e+00 1.00e+00f 1\n", + " 111r 0.0000000e+00 3.34e-01 4.23e+01 -0.8 9.08e-02 1.3 1.00e+00 1.00e+00f 1\n", + " 112r 0.0000000e+00 3.99e+00 1.83e+02 -0.8 4.33e-01 0.8 1.00e+00 6.50e-01f 1\n", + " 113r 0.0000000e+00 5.56e-01 1.90e+02 -0.8 1.14e-01 1.2 1.00e+00 1.00e+00f 1\n", + " 114r 0.0000000e+00 1.09e+00 8.79e+01 -0.8 2.23e-01 0.8 1.00e+00 8.42e-01f 1\n", + " 115r 0.0000000e+00 1.41e+00 3.15e+02 -0.8 7.74e-01 0.3 1.00e+00 8.51e-01f 1\n", + " 116r 0.0000000e+00 3.59e+00 1.69e+02 -0.8 4.74e-01 0.7 7.60e-01 4.53e-01f 1\n", + " 117r 0.0000000e+00 2.64e+00 3.13e+02 -0.8 8.07e-01 0.2 8.59e-01 7.90e-01f 1\n", + " 118r 0.0000000e+00 1.85e+00 4.04e+02 -0.8 9.64e-01 - 1.00e+00 3.75e-01f 1\n", + " 119r 0.0000000e+00 1.11e+00 1.42e+02 -0.8 5.71e-01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 5.72e-01 2.48e+01 -0.8 2.98e-01 - 1.00e+00 1.00e+00f 1\n", + " 121r 0.0000000e+00 4.36e-02 3.32e+00 -0.8 4.90e-02 - 1.00e+00 1.00e+00h 1\n", + " 122r 0.0000000e+00 1.43e+00 5.37e+02 -1.5 5.91e+00 - 2.51e-01 1.82e-01f 1\n", + " 123r 0.0000000e+00 1.32e+00 3.29e+02 -1.5 1.75e+00 - 5.10e-01 4.80e-01f 1\n", + " 124r 0.0000000e+00 9.87e-01 2.96e+02 -1.5 8.71e-01 - 4.94e-01 2.64e-01f 1\n", + " 125r 0.0000000e+00 6.42e-01 4.58e+02 -1.5 6.60e-01 - 9.56e-01 4.33e-01f 1\n", + " 126r 0.0000000e+00 1.72e-01 1.80e+02 -1.5 4.05e-01 - 1.00e+00 1.00e+00f 1\n", + " 127r 0.0000000e+00 2.84e-03 1.18e+02 -1.5 4.80e-02 - 1.00e+00 1.00e+00h 1\n", + " 128r 0.0000000e+00 2.07e-03 7.40e+00 -1.5 1.80e-02 - 1.00e+00 1.00e+00f 1\n", + " 129r 0.0000000e+00 2.07e-03 1.36e-01 -1.5 2.15e-03 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 0.0000000e+00 1.05e-01 2.00e+02 -3.3 8.01e-01 - 9.31e-01 2.90e-01f 1\n", + " 131r 0.0000000e+00 1.99e-01 2.19e+02 -3.3 8.87e-01 - 7.05e-01 3.31e-01f 1\n", + " 132r 0.0000000e+00 2.04e-01 1.68e+02 -3.3 6.73e-01 - 4.76e-01 3.40e-01f 1\n", + " 133r 0.0000000e+00 1.73e-01 1.54e+02 -3.3 4.74e-01 - 4.82e-01 2.37e-01f 1\n", + " 134r 0.0000000e+00 1.31e-01 2.08e+02 -3.3 3.70e-01 - 7.27e-01 3.80e-01f 1\n", + " 135r 0.0000000e+00 9.69e-02 1.56e+02 -3.3 2.76e-01 - 4.51e-01 3.44e-01f 1\n", + " 136r 0.0000000e+00 6.55e-02 8.32e+01 -3.3 2.31e-01 - 2.28e-01 4.54e-01f 1\n", + " 137r 0.0000000e+00 4.44e-02 9.31e+01 -3.3 1.87e-01 - 5.15e-01 4.86e-01f 1\n", + " 138r 0.0000000e+00 4.14e-02 1.52e+02 -3.3 1.53e-01 - 3.40e-01 6.99e-02f 1\n", + " 139r 0.0000000e+00 3.92e-02 2.49e+02 -3.3 1.47e-01 - 8.97e-02 5.43e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 0.0000000e+00 3.22e-02 2.20e+02 -3.3 1.44e-01 - 6.62e-02 2.08e-01f 1\n", + " 141r 0.0000000e+00 2.92e-02 2.11e+02 -3.3 1.34e-01 - 3.09e-01 1.00e-01f 1\n", + " 142r 0.0000000e+00 2.69e-02 1.93e+02 -3.3 1.30e-01 - 1.01e-01 8.31e-02f 1\n", + " 143r 0.0000000e+00 1.73e-02 1.06e+02 -3.3 1.26e-01 - 6.11e-01 6.66e-01f 1\n", + " 144r 0.0000000e+00 1.63e-02 4.07e+02 -3.3 1.04e-01 - 2.39e-01 5.95e-02f 1\n", + " 145r 0.0000000e+00 1.51e-02 5.59e+02 -3.3 1.01e-01 - 4.87e-01 7.88e-02f 1\n", + " 146r 0.0000000e+00 1.23e-02 4.62e+02 -3.3 9.89e-02 - 1.20e-01 2.32e-01f 1\n", + " 147r 0.0000000e+00 8.96e-03 2.51e+02 -3.3 9.26e-02 - 3.95e-01 4.64e-01f 1\n", + " 148r 0.0000000e+00 7.43e-03 2.75e+02 -3.3 7.55e-02 - 4.50e-01 2.02e-01f 1\n", + " 149r 0.0000000e+00 6.87e-03 4.67e+02 -3.3 7.41e-02 - 2.72e-01 8.21e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r 0.0000000e+00 6.16e-03 4.39e+02 -3.3 7.08e-02 - 5.86e-02 1.15e-01f 1\n", + " 151r 0.0000000e+00 5.63e-03 3.95e+02 -3.3 6.85e-02 - 2.52e-01 9.57e-02f 1\n", + " 152r 0.0000000e+00 4.20e-03 2.52e+02 -3.3 6.67e-02 - 2.81e-01 5.30e-01f 1\n", + " 153r 0.0000000e+00 3.89e-03 4.68e+02 -3.3 5.86e-02 - 4.06e-01 8.04e-02f 1\n", + " 154r 0.0000000e+00 3.37e-03 3.22e+02 -3.3 5.67e-02 - 5.81e-02 1.60e-01f 1\n", + " 155r 0.0000000e+00 2.69e-03 2.41e+02 -3.3 5.42e-02 - 2.00e-01 2.94e-01f 1\n", + " 156r 0.0000000e+00 2.47e-03 2.55e+02 -3.3 4.79e-02 - 1.93e-01 8.91e-02f 1\n", + " 157r 0.0000000e+00 2.22e-03 4.70e+02 -3.3 4.65e-02 - 4.69e-01 1.15e-01f 1\n", + " 158r 0.0000000e+00 1.75e-03 2.63e+02 -3.3 4.50e-02 - 7.17e-02 3.25e-01f 1\n", + " 159r 0.0000000e+00 1.62e-03 2.68e+02 -3.3 4.12e-02 - 1.89e-01 8.27e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r 0.0000000e+00 1.45e-03 2.38e+02 -3.3 3.96e-02 - 1.11e-01 1.18e-01f 1\n", + " 161r 0.0000000e+00 1.23e-03 2.73e+02 -3.3 3.77e-02 - 8.37e-02 1.92e-01f 1\n", + " 162r 0.0000000e+00 1.13e-03 2.44e+02 -3.3 3.34e-02 - 1.51e-01 9.29e-02f 1\n", + " 163r 0.0000000e+00 9.85e-04 2.15e+02 -3.3 3.32e-02 - 1.17e-01 1.49e-01f 1\n", + " 164r 0.0000000e+00 9.04e-04 1.86e+02 -3.3 3.10e-02 - 1.05e-01 8.97e-02f 1\n", + " 165r 0.0000000e+00 8.02e-04 1.77e+02 -3.3 2.77e-02 - 1.09e-01 1.27e-01f 1\n", + " 166r 0.0000000e+00 7.45e-04 1.55e+02 -3.3 2.43e-02 - 1.25e-01 7.61e-02f 1\n", + " 167r 0.0000000e+00 6.72e-04 1.41e+02 -3.3 1.99e-02 - 1.39e-01 1.03e-01f 1\n", + " 168r 0.0000000e+00 6.13e-04 1.91e+02 -3.3 1.30e-02 - 1.54e-01 8.93e-02f 1\n", + " 169r 0.0000000e+00 4.91e-04 1.16e+02 -3.3 6.00e-03 - 1.34e-01 2.02e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r 0.0000000e+00 4.01e-07 4.92e+02 -3.3 4.13e-04 - 1.60e-01 1.00e+00f 1\n", + " 171r 0.0000000e+00 3.84e-07 1.39e+01 -3.3 5.72e-04 - 1.00e+00 1.00e+00f 1\n", + " 172r 0.0000000e+00 2.62e-07 8.19e-04 -3.3 2.30e-05 - 1.00e+00 1.00e+00h 1\n", + " 173r 0.0000000e+00 1.11e-05 4.74e+01 -5.0 3.88e-03 - 1.00e+00 7.86e-01f 1\n", + " 174r 0.0000000e+00 6.15e-07 6.03e-02 -5.0 7.40e-04 - 1.00e+00 1.00e+00f 1\n", + " 175r 0.0000000e+00 1.29e-08 1.33e-05 -5.0 9.35e-05 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 175\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.4940636508525328e-09 1.2858206943633377e-08\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.4940636508525328e-09 1.2858206943633377e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 179\n", + "Number of objective gradient evaluations = 9\n", + "Number of equality constraint evaluations = 179\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 177\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 175\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 59.865\n", + "Total CPU secs in NLP function evaluations = 8.511\n", + "\n", + "EXIT: Optimal Solution Found.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 284 -2.4898130e-01 2.34e-01 3.67e+04 -1.0 1.66e+00 - 3.63e-01 1.75e-03h 1\n", - " 285 -2.4894035e-01 2.34e-01 1.16e+09 -1.0 1.74e+00 - 5.56e-01 1.76e-05h 1\n", - " 286r-2.4894035e-01 2.34e-01 1.00e+03 -0.6 0.00e+00 - 0.00e+00 8.81e-08R 2\n", - " 287r-2.3965703e-01 7.71e-02 9.96e+02 -0.6 2.31e+02 - 5.04e-03 1.00e-03f 1\n", - " 288 -2.3877329e-01 7.71e-02 1.67e+05 -1.0 1.54e+00 - 3.91e-01 4.25e-04h 1\n", - " 289r-2.3877329e-01 7.71e-02 9.99e+02 -1.0 0.00e+00 - 0.00e+00 2.66e-07R 5\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 290r-2.2399010e-01 1.27e-01 1.01e+03 -1.0 6.87e+01 - 1.16e-03 1.31e-03f 1\n", - " 291r-2.1360278e-01 1.62e-01 9.95e+02 -1.0 3.07e+01 - 3.47e-03 2.58e-03f 1\n", - " 292r-2.0965860e-01 1.68e-01 9.80e+02 -1.0 7.48e+00 - 1.45e-02 6.21e-03f 1\n", - " 293r-2.0992870e-01 1.71e-01 8.90e+02 -1.0 2.17e+00 - 9.98e-02 1.67e-02f 1\n", - " 294r-2.1664227e-01 1.97e-01 6.69e+02 -1.0 1.85e+00 - 3.00e-01 1.13e-01f 1\n", - " 295r-2.4484199e-01 6.56e-01 1.20e+03 -1.0 1.30e+00 - 4.76e-01 4.21e-01f 1\n", - " 296r-3.0079187e-01 1.57e+00 3.25e+03 -1.0 6.69e-01 - 4.65e-01 9.08e-01f 1\n", - " 297r-3.0475571e-01 3.23e-01 9.78e+02 -1.0 2.24e-01 0.0 6.27e-01 1.00e+00f 1\n", - " 298r-3.1597797e-01 6.55e-01 1.55e+03 -1.0 3.62e-01 - 4.30e-01 1.00e+00f 1\n", - " 299r-3.2423521e-01 3.24e-01 7.49e+03 -1.0 1.68e-01 - 2.19e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 300r-3.0935131e-01 1.76e+00 5.84e+03 -1.0 1.09e+00 - 1.74e-01 1.00e+00f 1\n", - " 301r-3.1363629e-01 2.94e-01 1.18e+03 -1.0 1.49e-01 1.3 9.84e-01 1.00e+00f 1\n", - " 302r-3.1987438e-01 2.40e-02 1.80e+02 -1.0 7.96e-02 0.9 1.00e+00 1.00e+00f 1\n", - " 303 -3.1416592e-01 2.39e-02 1.14e+02 -1.0 1.94e+00 - 8.21e-01 2.95e-03h 7\n", - " 304 -3.1325143e-01 2.39e-02 1.76e+02 -1.0 3.24e+00 - 6.13e-01 5.26e-04h 10\n", - " 305 9.5114871e-02 9.27e+00 1.74e+03 -1.0 7.48e+00 - 5.73e-01 2.67e-01f 1\n", - " 306 1.2148588e-01 9.10e+00 1.82e+03 -1.0 1.46e+01 - 2.01e-01 1.06e-02f 1\n", - " 307 1.2184175e-01 9.09e+00 9.80e+04 -1.0 1.93e+02 - 6.38e-02 3.40e-04h 1\n", - " 308 1.1679732e-01 8.25e+00 4.49e+05 -1.0 2.93e+02 - 5.67e-02 2.31e-03h 3\n", - " 309 1.1904071e-01 8.19e+00 9.89e+05 -1.0 2.87e+02 - 4.04e-02 5.73e-04h 5\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 310 1.2144235e-01 8.18e+00 3.07e+06 -1.0 2.87e+02 - 5.25e-02 1.51e-04h 7\n", - " 311 1.2283157e-01 8.18e+00 1.48e+07 -1.0 2.87e+02 - 7.67e-02 7.61e-05h 8\n", - " 312 1.2356731e-01 8.18e+00 1.29e+08 -1.0 2.87e+02 - 1.34e-01 3.81e-05h 9\n", - " 313 3.2206813e-01 2.83e+00 8.99e+08 -1.0 2.87e+02 - 1.03e-01 9.75e-03h 1\n", - "WARNING: Problem in step computation; switching to emergency mode.\n", - " 314r 3.2206813e-01 2.83e+00 1.00e+03 0.5 0.00e+00 - 0.00e+00 0.00e+00R 1\n", - " 315r 3.2069109e-01 1.50e+00 1.17e+03 0.5 2.82e+03 - 7.67e-03 9.93e-04f 1\n", - " 316 3.2073445e-01 1.50e+00 1.79e+03 -1.0 1.29e+00 - 2.22e-02 2.17e-05h 1\n", - " 317 2.4254907e-01 1.31e+00 1.70e+03 -1.0 1.56e+00 - 4.44e-02 1.24e-01h 1\n", - " 318 1.9541699e-01 1.21e+00 1.35e+03 -1.0 8.86e-01 - 2.14e-01 8.61e-02h 1\n", - " 319 1.4217922e-01 1.17e+00 6.87e+02 -1.0 8.75e-01 - 5.25e-01 1.15e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 320 5.9121160e-02 2.07e+00 9.13e+02 -1.0 1.71e+00 - 3.50e-01 2.83e-01h 1\n", - " 321 8.6869901e-02 1.49e+00 1.45e+03 -1.0 2.51e+00 - 4.13e-01 2.85e-01f 1\n", - " 322 1.5059214e+00 3.15e+02 2.15e+03 -1.0 3.95e+00 - 4.64e-01 1.83e-01f 2\n", - " 323 1.5059214e+00 3.15e+02 7.93e+13 -1.0 1.26e-06 19.8 9.92e-01 1.00e+00h 1\n", - " 324 1.5059214e+00 3.15e+02 1.58e+14 -1.0 7.54e-06 19.3 1.00e+00 1.00e+00h 1\n", - " 325 1.5059214e+00 3.13e+02 2.37e+14 -1.0 3.38e-05 18.8 1.00e+00 1.00e+00h 1\n", - " 326 1.5059214e+00 3.08e+02 3.11e+14 -1.0 1.34e-04 18.4 1.00e+00 1.00e+00h 1\n", - " 327 1.5059214e+00 2.89e+02 3.71e+14 -1.0 4.80e-04 17.9 1.00e+00 1.00e+00h 1\n", - " 328 1.5059214e+00 2.34e+02 3.85e+14 -1.0 1.50e-03 17.4 1.00e+00 1.00e+00h 1\n", - " 329 1.5059214e+00 1.26e+02 3.01e+14 -1.0 3.56e-03 16.9 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 330 1.5059215e+00 2.89e+01 1.48e+14 -1.0 5.11e-03 16.5 1.00e+00 1.00e+00h 1\n", - " 331 1.5059216e+00 4.51e+00 3.65e+13 -1.0 3.70e-03 16.0 1.00e+00 1.00e+00h 1\n", - " 332 1.5059220e+00 4.36e+00 3.58e+12 -1.0 1.11e-03 15.5 1.00e+00 1.00e+00h 1\n", - " 333 1.5059234e+00 4.07e+00 2.02e+12 -1.0 1.89e-03 15.0 1.00e+00 1.00e+00h 1\n", - " 334 1.5059280e+00 3.52e+01 4.07e+12 -1.0 1.22e-02 14.6 1.00e+00 1.00e+00h 1\n", - " 335 1.5059280e+00 3.52e+01 4.07e+12 -1.0 1.15e-01 14.1 1.64e-02 1.11e-04H 1\n", - " 336 1.5059335e+00 1.60e+01 1.85e+12 -1.0 7.56e-03 14.5 7.58e-01 1.00e+00h 1\n", - " 337 1.5059514e+00 6.37e+01 1.05e+13 -1.0 1.81e-02 14.0 8.08e-01 1.00e+00h 1\n", - " 338 1.5059532e+00 4.91e+01 8.76e+12 -1.0 1.08e-02 14.4 1.00e+00 2.50e-01h 3\n", - " 339 1.5059535e+00 4.36e+01 8.40e+12 -1.0 7.87e-03 14.9 1.00e+00 1.25e-01h 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 340 1.5059538e+00 4.23e+01 8.21e+12 -1.0 9.96e-03 14.4 1.00e+00 3.12e-02h 6\n", - " 341 1.5059538e+00 4.21e+01 8.20e+12 -1.0 7.63e-03 14.8 1.00e+00 3.91e-03h 9\n", - " 342 1.5059538e+00 4.21e+01 8.20e+12 -1.0 1.15e-02 14.3 1.00e+00 9.77e-04h 11\n", - " 343 1.5059573e+00 1.40e+01 4.78e+12 -1.0 7.76e-03 14.8 1.00e+00 1.00e+00h 1\n", - " 344 1.5059685e+00 3.52e+00 2.13e+12 -1.0 7.05e-03 14.3 1.00e+00 1.00e+00h 1\n", - " 345 1.5060038e+00 3.17e+00 7.80e+11 -1.0 6.99e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 346 1.5060184e+00 2.89e+00 4.10e+11 -1.0 2.11e-03 14.2 1.00e+00 1.00e+00H 1\n", - " 347 1.5060666e+00 2.34e+00 3.31e+11 -1.0 5.66e-03 13.8 1.00e+00 1.00e+00H 1\n", - " 348 1.5062221e+00 2.11e+00 3.31e+11 -1.0 1.70e-02 13.3 1.00e+00 1.00e+00H 1\n", - " 349 1.5062824e+00 2.11e+00 3.31e+11 -1.0 6.37e-03 13.7 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 350 1.5064686e+00 4.51e+00 3.55e+12 -1.0 1.91e-02 13.2 6.33e-01 1.00e+00h 1\n", - " 351 1.5064697e+00 4.21e+00 4.73e+12 -1.0 1.56e-03 15.5 1.00e+00 1.00e+00h 1\n", - " 352 1.5064706e+00 5.35e+00 1.24e+13 -1.0 2.67e-02 15.0 5.26e-01 2.50e-01h 3\n", - " 353 1.5064719e+00 9.14e+00 3.23e+12 -1.0 8.99e-03 15.4 1.00e+00 1.00e+00H 1\n", - " 354 1.5064762e+00 1.05e+01 1.68e+12 -1.0 1.91e-03 14.9 1.00e+00 1.00e+00h 1\n", - " 355 1.5064891e+00 5.16e+00 1.00e+12 -1.0 3.22e-03 14.5 1.00e+00 1.00e+00h 1\n", - " 356 1.5065307e+00 1.23e+00 4.59e+11 -1.0 5.17e-03 14.0 1.00e+00 1.00e+00H 1\n", - " 357 1.5066580e+00 1.80e+00 3.31e+11 -1.0 1.02e-02 13.5 1.00e+00 1.00e+00h 1\n", - " 358 1.5070451e+00 5.86e+00 4.43e+11 -1.0 3.06e-02 13.0 1.00e+00 1.00e+00h 1\n", - " 359 1.5082043e+00 2.80e+00 3.31e+11 -1.0 9.18e-02 12.6 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 360 1.5082585e+00 3.01e+00 3.31e+11 -1.0 4.30e-03 13.9 1.00e+00 1.00e+00h 1\n", - " 361 1.5084204e+00 2.07e+00 3.31e+11 -1.0 1.29e-02 13.4 1.00e+00 1.00e+00h 1\n", - " 362 1.5084808e+00 4.91e+00 7.74e+11 -1.0 9.01e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 363 1.5086605e+00 3.68e+00 3.45e+11 -1.0 1.45e-02 13.4 1.00e+00 1.00e+00h 1\n", - " 364 1.5087273e+00 2.80e+00 6.19e+11 -1.0 6.48e-03 13.8 1.00e+00 1.00e+00h 1\n", - " 365 1.5087521e+00 5.48e+00 7.97e+11 -1.0 6.02e-03 14.2 1.00e+00 1.00e+00h 1\n", - " 366 1.5087613e+00 4.68e+00 5.92e+11 -1.0 1.32e-03 14.6 1.00e+00 1.00e+00h 1\n", - " 367 1.5087887e+00 1.30e+01 1.99e+12 -1.0 1.23e-02 14.2 1.00e+00 1.00e+00h 1\n", - " 368 1.5088698e+00 5.52e+00 4.49e+11 -1.0 6.89e-03 13.7 1.00e+00 1.00e+00h 1\n", - " 369 1.5091096e+00 2.22e+00 3.66e+11 -1.0 2.07e-02 13.2 3.54e-01 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 370 1.5091206e+00 2.01e+00 6.33e+11 -1.0 1.71e-03 14.5 1.00e+00 1.00e+00h 1\n", - " 371 1.5091247e+00 2.00e+00 8.40e+11 -1.0 9.00e-04 15.0 1.00e+00 1.00e+00h 1\n", - " 372 1.5091368e+00 2.34e+00 3.50e+12 -1.0 7.94e-03 14.5 1.00e+00 1.00e+00h 1\n", - " 373 1.5091412e+00 1.38e+01 5.57e+12 -1.0 7.44e-03 14.9 1.00e+00 1.00e+00h 1\n", - " 374 1.5091543e+00 3.70e+01 1.69e+13 -1.0 2.26e-02 14.4 4.50e-01 1.00e+00h 1\n", - " 375 1.5091591e+00 2.23e+01 2.19e+12 -1.0 3.79e-03 14.9 1.00e+00 1.00e+00h 1\n" + "Output this time: [0.000199428298248, 4.15897677145134e-05, 4.18875640037504e-05, 4.240081547472943e-05, 4.285536903136261e-05, 4.3253654478415494e-05, 4.3610011184206695e-05, 4.392602313007304e-05, 4.4221084671629736e-05, 4.449824881723668e-05, 4.478729399562983e-05, 4.5102014114971564e-05, 4.5498493722466465e-05, 4.602352080996476e-05, 4.679751463216151e-05, 4.796408183352939e-05, 4.978207989993139e-05, 5.268810550634699e-05, 5.718589938173251e-05, 6.457307226767105e-05, 7.56758961667779e-05, 9.400835698714351e-05, 0.00012064927061089876, 0.00016362492032851207, 0.00022431895705843217, 0.0003169261684327918, 0.0004461940059715864, 0.0006274650105156253, 0.0008843573815780081, 0.0012099570868426466, 0.0016884424187817526, 0.0022396700652917356, 0.0030730274090683468, 0.003976475206209571, 0.005325445816718029, 0.006786844244208956, 0.008805524053321526, 0.01117025121467202, 0.014006122631551737, 0.018429882880389013, 0.022760902442363118, 0.026857718442132614, 0.030686234002280384, 0.034231760318089464, 0.03749231740108029, 0.040474288948570525, 0.043189410798811584, 0.04565266464605092, 0.047880803918260106, 0.04989132838072524, 0.051701780048639255, 0.05332927007204196, 0.05479017170521331, 0.056099932355260576, 0.057272970475288565, 0.058322632293157685, 0.05926119008779919, 0.06009986865165571, 0.06084889020508525, 0.06151753070708179, 0.06211418248778309, 0.06264641959403565, 0.06312106332277481, 0.06354424621596279, 0.06392147337767733, 0.06425768040243612, 0.06455728751410507, 0.06482424973679986, 0.06506210307541968, 293.15, 293.15002672223943, 293.1500646169796, 293.15013142263916, 293.15023862179027, 293.1503887845984, 293.15061566511133, 293.1508884021246, 293.15129773262817, 293.15173799868256, 293.1524067663874, 293.1530757862031, 293.15408462420737, 293.15507983285147, 293.15648723514744, 293.1579865356514, 293.1598773561129, 293.16331771497465, 293.1662200628988, 293.16571191183255, 293.1647779144381, 293.16375055636354, 293.1626902372766, 293.1616373066353, 293.1606179421676, 293.15964850566036, 293.15873852037186, 293.15789275231805, 293.1571126864461, 293.15639758102463, 293.155745223322, 293.1551524705282, 293.15461563556534, 293.15413076004876, 293.1536938049962, 293.1533007816766, 293.152947838756, 293.15263131787447, 293.15234778637904, 293.15209405377914, 293.1518671767667, 293.1516644562706, 293.15148342921134, 293.15132185683484, 293.15117771100967, 293.15104915948496, 293.1509345508086, 293.1508323993981, 293.1507413710946, 293.15066026941463, 293.1505880226276, 293.1505236717285, 293.15046635932913, 293.15041531945946, 293.1503698682546, 293.1503293954829, 293.1502933568678, 293.15026126714724, 293.1502326938179, 293.15020725150464, 293.1501845969045, 293.15016442425235, 293.1501464612584, 293.1501304654744, 293.1501162210448, 293.1501035358054, 293.1500922386924, 293.1500821774328, 293.150073216483, 293.15, 293.1500008850061, 293.14999999672267, 293.14999999654225, 293.15000000501107, 293.1500000203136, 293.15000004873286, 293.1500000983022, 293.15000018811014, 293.15000033841693, 293.15000060366253, 293.1500010352993, 293.15000177828404, 293.1500029709136, 293.1500049650516, 293.1500081629004, 293.1500133042997, 293.1500216116973, 293.150034279568, 293.15005486075336, 293.1500842920516, 293.1501314866888, 293.1501947225675, 293.1502920337216, 293.15041656272916, 293.1505952792698, 293.1508225870625, 293.15111803659283, 293.1515112670661, 293.1519614346976, 293.1526112667583, 293.1532653461155, 293.1542797354805, 293.15521933893535, 293.1566897203701, 293.15807532090037, 293.16016872576745, 293.16364821219247, 293.1660664542623, 293.1654116165671, 293.16447834123494, 293.16346262524434, 293.1624201298151, 293.16138810345626, 293.1603907667539, 293.1594432581059, 293.1585543557336, 293.15772839556985, 293.1569666397967, 293.1562682596062, 293.15563104242204, 293.15505190017757, 293.1545272329538, 293.15405318701943, 293.1536258356205, 293.1532413032581, 293.15289584869925, 293.1525859179764, 293.15230817569676, 293.15205952082385, 293.1518370914927, 293.1516382622276, 293.15146063604396, 293.15130203325407, 293.1511604783004, 293.15103418556953, 293.15092154486535, 293.1508211070147, 293.15073156992577]\n", + "This scenario: {'fitted_transport_coefficient': {0: 209.88}, 'ua': {0: 15.424948470398375}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.0987999999999998, 'ua': 0.15424948470398375}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is ./priors/20210916_feed313_bath293.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "temp_feed is fixed at 313.15\n", + "yfeed is fixed at 0.15\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 7.30e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (2556844)\n", + " 1 0.0000000e+00 7.29e+01 3.62e+02 -1.0 5.56e+00 - 6.40e-01 1.78e-03h 1\n", + "Reallocating memory for MA57: lfact (3096422)\n", + " 2 0.0000000e+00 7.28e+01 9.71e+06 -1.0 5.58e+00 - 4.80e-01 1.77e-05h 1\n", + "Reallocating memory for MA57: lfact (3612737)\n", + " 3 0.0000000e+00 3.06e+01 9.45e+06 -1.0 1.52e+00 - 2.71e-02 7.63e-01f 1\n", + " 4 0.0000000e+00 9.31e+00 7.38e+06 -1.0 8.05e-01 - 2.19e-01 1.00e+00h 1\n", + " 5 0.0000000e+00 2.83e+00 4.27e+06 -1.0 1.02e+00 - 4.22e-01 1.00e+00h 1\n", + " 6 0.0000000e+00 8.62e-01 2.09e+06 -1.0 3.89e-01 - 5.10e-01 1.00e+00h 1\n", + " 7 0.0000000e+00 3.77e-01 1.33e+06 -1.0 4.85e-01 - 3.65e-01 7.31e-01h 1\n", + "Reallocating memory for MA57: lfact (3854094)\n", + " 8 0.0000000e+00 1.62e-01 1.00e+06 -1.0 7.84e-01 - 4.19e-01 7.46e-01h 1\n", + " 9 0.0000000e+00 1.62e-01 1.00e+06 -1.0 6.64e+00 - 2.11e-07 2.47e-07f 2\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 1.62e-01 1.00e+03 -0.8 0.00e+00 - 0.00e+00 3.11e-07R 4\n", + " 11r 0.0000000e+00 1.39e-01 9.94e+02 -0.8 1.32e+02 - 5.81e-03 1.21e-03f 1\n", + " 12r 0.0000000e+00 9.19e-02 9.65e+02 -0.8 5.61e+00 - 3.42e-02 5.61e-03f 1\n", + " 13r 0.0000000e+00 4.83e-02 8.35e+02 -0.8 1.16e+00 - 1.47e-01 3.63e-02f 1\n", + " 14r 0.0000000e+00 2.84e-01 5.84e+02 -0.8 1.15e+00 - 5.75e-01 1.86e-01f 1\n", + " 15r 0.0000000e+00 1.01e+01 4.94e+03 -0.8 1.10e+00 - 4.05e-01 1.00e+00f 1\n", + " 16r 0.0000000e+00 3.10e+00 2.06e+03 -0.8 7.06e-01 - 4.66e-01 1.00e+00f 1\n", + " 17r 0.0000000e+00 1.00e+00 3.03e+04 -0.8 4.67e-01 - 1.35e-01 1.00e+00f 1\n", + " 18r 0.0000000e+00 1.88e-01 7.94e+03 -0.8 7.33e-02 2.0 5.79e-01 1.00e+00f 1\n", + " 19r 0.0000000e+00 1.20e+00 2.94e+03 -0.8 1.25e+00 - 6.04e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 1.36e+00 1.01e+04 -0.8 4.84e-01 - 2.54e-01 1.00e+00f 1\n", + "Reallocating memory for MA57: lfact (4435186)\n", + " 21r 0.0000000e+00 1.20e-01 1.65e+03 -0.8 6.59e-02 2.4 1.00e+00 1.00e+00f 1\n", + " 22r 0.0000000e+00 5.71e-03 1.22e+02 -0.8 3.71e-02 1.9 1.00e+00 1.00e+00f 1\n", + " 23r 0.0000000e+00 5.87e-01 2.52e+02 -0.8 5.72e-01 - 7.23e-01 8.38e-01f 1\n", + " 24r 0.0000000e+00 1.18e+00 8.13e+02 -0.8 8.63e-01 - 1.00e+00 1.00e+00f 1\n", + " 25r 0.0000000e+00 6.29e-01 9.63e+01 -0.8 3.63e-01 - 9.49e-01 1.00e+00f 1\n", + " 26r 0.0000000e+00 5.07e+00 1.49e+02 -0.8 2.00e+00 - 7.82e-01 5.55e-01f 1\n", + " 27r 0.0000000e+00 2.93e+00 2.32e+02 -0.8 6.45e-01 - 1.00e+00 1.00e+00f 1\n", + " 28r 0.0000000e+00 5.32e-01 2.44e+01 -0.8 2.30e-01 - 1.00e+00 1.00e+00h 1\n", + " 29r 0.0000000e+00 1.62e-01 4.64e+00 -0.8 1.02e-01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.49e+00 6.80e+02 -1.5 4.39e+00 - 3.51e-01 2.70e-01f 1\n", + " 31r 0.0000000e+00 1.08e+00 6.58e+02 -1.5 1.24e+00 - 4.94e-01 5.06e-01f 1\n", + " 32r 0.0000000e+00 8.31e-01 4.72e+02 -1.5 6.82e-01 - 3.90e-01 2.64e-01f 1\n", + " 33r 0.0000000e+00 6.36e-01 4.28e+02 -1.5 4.89e-01 - 3.60e-01 2.56e-01f 1\n", + " 34r 0.0000000e+00 4.69e-01 3.08e+02 -1.5 3.55e-01 - 6.28e-01 2.73e-01f 1\n", + " 35r 0.0000000e+00 1.38e-01 1.54e+02 -1.5 2.60e-01 - 1.00e+00 1.00e+00f 1\n", + " 36r 0.0000000e+00 2.96e-03 8.89e+01 -1.5 5.78e-02 - 1.00e+00 1.00e+00h 1\n", + " 37r 0.0000000e+00 2.06e-03 3.10e+00 -1.5 1.27e-02 - 1.00e+00 1.00e+00f 1\n", + " 38r 0.0000000e+00 2.06e-03 6.75e-01 -1.5 1.47e-03 - 1.00e+00 1.00e+00h 1\n", + " 39r 0.0000000e+00 9.09e-02 1.80e+02 -2.2 6.57e-01 - 1.00e+00 3.32e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 1.83e-01 1.64e+02 -2.2 6.43e-01 - 1.00e+00 5.05e-01f 1\n", + " 41r 0.0000000e+00 1.65e-01 9.37e+01 -2.2 4.26e-01 - 1.00e+00 6.17e-01f 1\n", + " 42r 0.0000000e+00 8.61e-02 7.66e+01 -2.2 2.52e-01 - 1.00e+00 7.48e-01f 1\n", + " 43r 0.0000000e+00 4.52e-02 7.01e+01 -2.2 1.77e-01 - 1.00e+00 6.86e-01f 1\n", + " 44r 0.0000000e+00 1.84e-02 1.45e+02 -2.2 1.19e-01 - 5.71e-01 1.00e+00f 1\n", + " 45r 0.0000000e+00 5.55e-03 6.13e+01 -2.2 6.47e-02 - 9.25e-01 1.00e+00h 1\n", + " 46r 0.0000000e+00 6.00e-04 1.99e+01 -2.2 1.11e-02 - 1.00e+00 1.00e+00h 1\n", + " 47r 0.0000000e+00 5.96e-04 3.65e+00 -2.2 5.95e-03 - 1.00e+00 1.00e+00h 1\n", + " 48r 0.0000000e+00 5.96e-04 4.69e-01 -2.2 4.50e-04 - 1.00e+00 1.00e+00h 1\n", + " 49r 0.0000000e+00 5.96e-04 1.52e-03 -2.2 2.43e-05 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 1.33e-02 2.83e+02 -5.0 5.24e-01 - 9.47e-01 2.08e-01f 1\n", + " 51r 0.0000000e+00 1.54e-02 2.62e+02 -5.0 1.91e-01 - 1.00e+00 4.14e-01f 1\n", + " 52r 0.0000000e+00 1.20e-02 2.95e+02 -5.0 1.07e-01 - 1.00e+00 3.20e-01f 1\n", + " 53r 0.0000000e+00 8.41e-03 2.25e+02 -5.0 8.06e-02 - 7.58e-01 4.22e-01f 1\n", + " 54r 0.0000000e+00 7.43e-03 1.89e+02 -5.0 6.67e-02 - 9.33e-02 1.28e-01f 1\n", + " 55r 0.0000000e+00 6.85e-03 1.76e+02 -5.0 6.39e-02 - 9.60e-02 8.23e-02f 1\n", + " 56r 0.0000000e+00 5.01e-03 4.53e+02 -5.0 6.16e-02 - 3.12e-02 3.54e-01f 1\n", + " 57r 0.0000000e+00 4.51e-03 3.93e+02 -5.0 5.35e-02 - 3.46e-01 1.07e-01f 1\n", + " 58r 0.0000000e+00 4.10e-03 3.62e+02 -5.0 4.83e-02 - 4.29e-02 9.62e-02f 1\n", + " 59r 0.0000000e+00 3.94e-03 5.24e+02 -5.0 4.62e-02 - 1.57e-02 4.05e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 3.74e-03 5.06e+02 -5.0 4.54e-02 - 2.52e-01 5.19e-02f 1\n", + " 61r 0.0000000e+00 3.54e-03 4.77e+02 -5.0 4.49e-02 - 6.38e-02 5.54e-02f 1\n", + " 62r 0.0000000e+00 3.39e-03 4.56e+02 -5.0 4.49e-02 - 1.04e-02 4.25e-02f 1\n", + " 63r 0.0000000e+00 3.34e-03 4.49e+02 -5.0 4.33e-02 - 1.28e-01 1.64e-02f 1\n", + " 64r 0.0000000e+00 3.14e-03 4.22e+02 -5.0 4.38e-02 - 3.58e-02 6.06e-02f 1\n", + " 65r 0.0000000e+00 3.12e-03 4.18e+02 -5.0 4.38e-02 - 2.53e-02 8.56e-03f 1\n", + " 66r 0.0000000e+00 2.97e-03 3.98e+02 -5.0 4.31e-02 - 3.83e-02 4.84e-02f 1\n", + " 67r 0.0000000e+00 2.53e-03 3.31e+02 -5.0 4.23e-02 - 5.22e-02 1.69e-01f 1\n", + " 68r 0.0000000e+00 2.27e-03 2.95e+02 -5.0 3.99e-02 - 1.01e-01 1.09e-01f 1\n", + " 69r 0.0000000e+00 2.04e-03 3.01e+02 -5.0 3.91e-02 - 6.70e-02 1.10e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 1.98e-03 2.91e+02 -5.0 3.74e-02 - 3.25e-02 3.18e-02f 1\n", + " 71r 0.0000000e+00 1.91e-03 2.82e+02 -5.0 3.05e-02 - 3.75e-02 3.41e-02f 1\n", + " 72r 0.0000000e+00 1.85e-03 2.76e+02 -5.0 2.87e-02 - 5.40e-02 3.23e-02f 1\n", + " 73r 0.0000000e+00 1.79e-03 3.01e+02 -5.0 2.88e-02 - 4.61e-02 3.27e-02f 1\n", + " 74r 0.0000000e+00 1.75e-03 2.89e+02 -5.0 3.01e-02 - 9.55e-03 2.48e-02f 1\n", + " 75r 0.0000000e+00 1.72e-03 3.85e+02 -5.0 3.16e-02 - 8.58e-03 1.59e-02f 1\n", + " 76r 0.0000000e+00 1.64e-03 3.68e+02 -5.0 3.00e-02 - 5.21e-02 4.44e-02f 1\n", + " 77r 0.0000000e+00 1.61e-03 3.62e+02 -5.0 3.14e-02 - 1.17e-02 1.92e-02f 1\n", + " 78r 0.0000000e+00 1.59e-03 3.57e+02 -5.0 2.95e-02 - 1.50e-02 1.48e-02f 1\n", + " 79r 0.0000000e+00 1.56e-03 3.51e+02 -5.0 2.97e-02 - 9.65e-03 1.75e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 1.53e-03 3.45e+02 -5.0 3.06e-02 - 1.25e-02 2.19e-02f 1\n", + " 81r 0.0000000e+00 1.47e-03 3.32e+02 -5.0 3.11e-02 - 3.38e-02 4.10e-02f 1\n", + " 82r 0.0000000e+00 1.33e-03 3.04e+02 -5.0 2.76e-02 - 6.24e-02 9.47e-02f 1\n", + " 83r 0.0000000e+00 1.21e-03 2.81e+02 -5.0 2.77e-02 - 5.33e-02 1.01e-01f 1\n", + " 84r 0.0000000e+00 1.18e-03 2.75e+02 -5.0 2.60e-02 - 2.35e-02 1.81e-02f 1\n", + " 85r 0.0000000e+00 1.14e-03 2.64e+02 -5.0 2.62e-02 - 5.90e-02 3.77e-02f 1\n", + " 86r 0.0000000e+00 1.11e-03 2.55e+02 -5.0 2.57e-02 - 8.08e-02 2.89e-02f 1\n", + " 87r 0.0000000e+00 1.06e-03 2.45e+02 -5.0 2.10e-02 - 3.47e-02 4.27e-02f 1\n", + " 88r 0.0000000e+00 1.03e-03 2.34e+02 -5.0 1.73e-02 - 6.04e-02 2.83e-02f 1\n", + " 89r 0.0000000e+00 1.01e-03 2.30e+02 -5.0 1.92e-02 - 1.28e-02 1.96e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 9.96e-04 2.27e+02 -5.0 1.82e-02 - 1.41e-02 1.51e-02f 1\n", + " 91r 0.0000000e+00 9.71e-04 2.23e+02 -5.0 1.82e-02 - 2.38e-02 2.53e-02f 1\n", + " 92r 0.0000000e+00 9.56e-04 2.43e+02 -5.0 1.97e-02 - 1.28e-02 1.59e-02f 1\n", + " 93r 0.0000000e+00 9.41e-04 2.40e+02 -5.0 1.97e-02 - 1.18e-02 1.53e-02f 1\n", + " 94r 0.0000000e+00 9.22e-04 4.14e+02 -5.0 2.04e-02 - 7.34e-03 2.08e-02f 1\n", + " 95r 0.0000000e+00 8.79e-04 3.94e+02 -5.0 2.00e-02 - 4.84e-02 4.77e-02f 1\n", + " 96r 0.0000000e+00 8.71e-04 3.91e+02 -5.0 2.01e-02 - 4.55e-03 8.31e-03f 1\n", + " 97r 0.0000000e+00 8.51e-04 3.78e+02 -5.0 1.98e-02 - 6.00e-02 2.41e-02f 1\n", + " 98r 0.0000000e+00 8.01e-04 3.58e+02 -5.0 1.82e-02 - 1.96e-02 5.93e-02f 1\n", + " 99r 0.0000000e+00 7.85e-04 3.49e+02 -5.0 1.78e-02 - 6.71e-02 2.01e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 7.66e-04 3.40e+02 -5.0 1.24e-02 - 2.07e-02 2.49e-02f 1\n", + " 101r 0.0000000e+00 7.54e-04 3.35e+02 -5.0 8.42e-03 - 1.36e-02 1.49e-02f 1\n", + " 102r 0.0000000e+00 7.34e-04 3.20e+02 -5.0 6.59e-03 - 5.45e-02 2.71e-02f 1\n", + " 103r 0.0000000e+00 7.23e-04 3.13e+02 -5.0 4.61e-03 - 1.70e-02 1.54e-02f 1\n", + " 104r 0.0000000e+00 7.13e-04 3.14e+02 -5.0 6.23e-03 - 1.09e-02 1.37e-02f 1\n", + " 105r 0.0000000e+00 7.05e-04 3.83e+02 -5.0 3.73e-03 - 5.63e-03 1.07e-02f 1\n", + " 106r 0.0000000e+00 6.95e-04 5.94e+02 -5.0 2.70e-03 - 6.37e-03 1.47e-02f 1\n", + " 107r 0.0000000e+00 6.90e-04 5.80e+02 -5.0 3.62e-03 - 2.57e-02 7.11e-03f 1\n", + " 108r 0.0000000e+00 6.79e-04 5.75e+02 -5.0 4.58e-03 - 3.02e-03 1.51e-02f 1\n", + " 109r 0.0000000e+00 6.71e-04 5.77e+02 -5.0 4.03e-03 - 5.42e-03 1.16e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 6.66e-04 5.73e+02 -5.0 4.19e-03 - 8.33e-03 8.85e-03f 1\n", + " 111r 0.0000000e+00 5.91e-04 1.41e+03 -5.0 6.62e-04 - 2.77e-03 1.12e-01f 1\n", + " 112r 0.0000000e+00 1.24e-07 5.13e+01 -5.0 2.77e-04 - 1.55e-01 1.00e+00f 1\n", + " 113r 0.0000000e+00 4.23e-10 3.58e-03 -5.0 2.01e-05 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 113\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 1.6753345847911372e-10 4.2310865921990626e-10\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 1.6753345847911372e-10 4.2310865921990626e-10\n", + "\n", + "\n", + "Number of objective function evaluations = 119\n", + "Number of objective gradient evaluations = 12\n", + "Number of equality constraint evaluations = 119\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 115\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 113\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 18.868\n", + "Total CPU secs in NLP function evaluations = 5.499\n", + "\n", + "EXIT: Optimal Solution Found.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 376 1.5091609e+00 1.47e+01 3.39e+12 -1.0 2.65e-03 15.3 1.00e+00 1.00e+00h 1\n", - " 377 1.5091661e+00 5.95e+00 3.22e+12 -1.0 4.62e-03 14.8 1.00e+00 1.00e+00h 1\n", - " 378 1.5091680e+00 3.84e+00 4.20e+12 -1.0 2.44e-03 15.2 1.00e+00 1.00e+00h 1\n", - " 379 1.5091685e+00 3.54e+00 2.69e+12 -1.0 2.96e-02 14.8 1.00e+00 8.79e-02H 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 380 1.5091854e+00 2.08e+00 1.27e+12 -1.0 4.73e-03 14.3 1.00e+00 1.00e+00h 1\n", - " 381 1.5092351e+00 2.08e+00 5.09e+11 -1.0 5.22e-03 13.8 3.71e-01 1.00e+00h 1\n", - " 382 1.5093803e+00 1.91e+00 1.69e+12 -1.0 1.57e-02 13.3 1.00e+00 1.00e+00h 1\n", - " 383 1.5093869e+00 1.34e+01 1.07e+13 -1.0 1.34e-02 14.7 5.55e-01 1.00e+00h 1\n", - " 384 1.5093893e+00 4.22e+01 7.29e+11 -1.0 7.79e-03 15.1 1.00e+00 1.00e+00h 1\n", - " 385 1.5093929e+00 2.59e+01 1.44e+12 -1.0 7.28e-03 14.6 1.00e+00 5.00e-01h 2\n", - " 386 1.5094137e+00 8.20e+00 9.00e+11 -1.0 6.67e-03 14.1 1.00e+00 1.00e+00h 1\n", - " 387 1.5094744e+00 1.93e+00 3.90e+11 -1.0 7.42e-03 13.6 1.00e+00 1.00e+00h 1\n", - " 388 1.5096493e+00 1.85e+00 3.29e+11 -1.0 2.23e-02 13.2 1.00e+00 1.00e+00h 1\n", - " 389 1.5097121e+00 1.71e+00 3.29e+11 -1.0 8.35e-03 13.6 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 390 1.5098912e+00 7.34e+01 3.43e+12 -1.0 2.84e-02 13.1 3.61e-01 1.00e+00h 1\n", - " 391 1.5098991e+00 2.35e+01 2.26e+12 -1.0 9.23e-03 14.4 1.00e+00 1.00e+00h 1\n", - " 392 1.5099216e+00 6.75e+00 1.03e+12 -1.0 7.72e-03 14.0 1.00e+00 1.00e+00h 1\n", - " 393 1.5099845e+00 1.44e+00 3.88e+11 -1.0 1.06e-02 13.5 1.00e+00 1.00e+00h 1\n", - " 394 1.5101583e+00 1.44e+00 3.29e+11 -1.0 3.16e-02 13.0 1.00e+00 1.00e+00h 1\n", - " 395 1.5102175e+00 1.44e+00 3.28e+11 -1.0 1.19e-02 13.4 1.00e+00 1.00e+00h 1\n", - " 396 1.5103743e+00 1.44e+00 3.28e+11 -1.0 3.56e-02 13.0 1.00e+00 1.00e+00h 1\n", - " 397 1.5104251e+00 1.44e+00 3.28e+11 -1.0 1.33e-02 13.4 1.00e+00 1.00e+00h 1\n", - " 398 1.5105496e+00 1.85e+00 3.28e+11 -1.0 4.00e-02 12.9 1.00e+00 1.00e+00h 1\n", - " 399 1.5108100e+00 3.74e+00 3.28e+11 -1.0 1.20e-01 12.4 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 400 1.5108612e+00 3.33e+00 3.28e+11 -1.0 4.49e-02 12.9 1.00e+00 1.00e+00h 1\n", - " 401 1.5108623e+00 1.35e+00 3.27e+11 -1.0 1.68e-02 13.3 1.00e+00 1.00e+00h 1\n", - " 402 1.5108558e+00 1.34e+00 3.27e+11 -1.0 6.31e-03 13.7 1.00e+00 1.00e+00h 1\n", - " 403 1.5108151e+00 1.32e+00 3.27e+11 -1.0 1.89e-02 13.2 1.00e+00 1.00e+00h 1\n", - " 404 1.5107918e+00 1.30e+00 3.27e+11 -1.0 7.09e-03 13.7 1.00e+00 1.00e+00h 1\n", - " 405 1.5106717e+00 1.94e+00 3.26e+11 -1.0 3.17e-02 13.2 1.00e+00 1.00e+00H 1\n", - " 406 1.5102272e+00 1.68e+00 3.26e+11 -1.0 6.36e-02 12.7 1.00e+00 1.00e+00h 1\n", - " 407 1.5100278e+00 7.26e+00 4.06e+11 -1.0 2.38e-02 13.1 8.03e-01 1.00e+00h 1\n", - " 408 1.5093203e+00 2.39e+00 3.25e+11 -1.0 7.15e-02 12.7 1.00e+00 1.00e+00h 1\n", - " 409 1.5090127e+00 1.15e+00 3.25e+11 -1.0 2.68e-02 13.1 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 410 1.5079489e+00 5.27e+00 3.25e+11 -1.0 8.03e-02 12.6 1.00e+00 1.00e+00h 1\n", - " 411 1.5074954e+00 6.48e+00 3.25e+11 -1.0 3.01e-02 13.0 1.00e+00 1.00e+00h 1\n", - " 412 1.5059532e+00 7.45e+00 3.24e+11 -1.0 9.01e-02 12.6 1.00e+00 1.00e+00h 1\n", - " 413 1.5058147e+00 7.28e+00 3.24e+11 -1.0 3.37e-02 13.0 1.00e+00 2.14e-01h 2\n", - " 414 1.5057344e+00 7.19e+00 3.24e+11 -1.0 1.01e-01 12.5 1.00e+00 3.99e-02h 2\n", - " 415 1.5056849e+00 7.12e+00 3.24e+11 -1.0 3.80e-02 12.9 1.00e+00 6.59e-02h 2\n", - " 416 1.5056257e+00 7.05e+00 3.24e+11 -1.0 1.14e-01 12.5 1.00e+00 2.58e-02h 2\n", - " 417 1.5056112e+00 7.03e+00 3.24e+11 -1.0 4.27e-02 12.9 1.00e+00 1.70e-02h 3\n", - " 418 1.5054746e+00 6.89e+00 3.24e+11 -1.0 1.28e-01 12.4 1.00e+00 5.26e-02h 1\n", - " 419 1.5049151e+00 6.14e+00 3.24e+11 -1.0 4.80e-02 12.8 1.00e+00 5.76e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 420 1.5045290e+00 5.48e+00 3.23e+11 -1.0 1.80e-02 13.3 2.48e-01 1.00e+00h 1\n", - " 421 1.5037574e+00 4.12e+00 3.23e+11 -1.0 7.86e-02 12.8 6.90e-01 5.75e-01H 1\n", - " 422 1.5037440e+00 4.11e+00 3.23e+11 -1.0 1.62e-01 12.3 1.00e+00 3.18e-03h 2\n", - " 423r 1.5037440e+00 4.11e+00 1.00e+03 0.6 0.00e+00 11.8 0.00e+00 4.98e-07R 12\n", - " 424r 1.2932805e+00 1.58e+00 9.93e+02 0.6 4.11e+03 - 8.56e-03 9.90e-04f 1\n", - " 425 1.3839102e+00 1.53e+00 3.87e+03 -1.0 2.42e+00 - 2.00e-01 2.81e-02h 1\n", - " 426 1.3364301e+00 1.35e+00 5.03e+03 -1.0 1.52e+00 - 6.91e-02 1.16e-01H 1\n", - " 427 1.3094652e+00 1.27e+00 4.99e+03 -1.0 1.54e+00 - 4.24e-02 6.04e-02h 4\n", - " 428 1.3093244e+00 1.28e+00 4.31e+03 -1.0 7.95e+00 - 7.02e-02 1.47e-03H 1\n", - " 429 1.2761805e+00 1.17e+00 4.13e+03 -1.0 3.32e+00 - 1.79e-02 6.09e-02h 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 430 1.2171455e+00 1.08e+00 3.93e+03 -1.0 1.08e+01 - 9.51e-03 5.53e-02h 4\n", - " 431 1.2153398e+00 5.73e+00 4.54e+10 -1.0 4.37e-03 11.3 9.90e-01 1.00e+00h 1\n", - " 432 1.2139853e+00 1.46e+00 1.05e+10 -1.0 1.96e-03 11.8 1.00e+00 1.00e+00h 1\n", - " 433 1.2078969e+00 1.51e+00 1.62e+09 -1.0 7.38e-03 11.3 1.00e+00 1.00e+00h 1\n", - " 434 1.2048573e+00 6.48e-01 2.72e+09 -1.0 4.78e-03 11.7 1.00e+00 1.00e+00h 1\n", - " 435 1.2034342e+00 6.48e-01 3.39e+09 -1.0 2.39e-03 12.1 1.00e+00 1.00e+00h 1\n", - " 436 1.1983148e+00 7.66e+00 8.11e+09 -1.0 1.49e-02 11.7 1.00e+00 1.00e+00h 1\n", - " 437 1.1804038e+00 2.92e+00 2.76e+09 -1.0 5.63e-03 11.2 1.00e+00 1.00e+00h 1\n", - " 438 1.1189245e+00 1.62e+00 2.68e+09 -1.0 2.44e-02 10.7 1.00e+00 1.00e+00h 1\n", - " 439 1.0644265e+00 1.27e+00 2.17e+09 -1.0 5.87e-02 10.2 1.00e+00 2.50e-01h 3\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 440 6.9051371e-01 1.59e+00 1.63e+09 -1.0 2.14e-01 9.8 1.00e+00 5.00e-01f 2\n", - " 441 -2.3965095e+00 7.89e+00 2.21e+09 -1.0 2.28e+00 9.3 2.96e-01 1.00e+00f 1\n", - " 442 -2.3419139e+00 7.42e+00 1.98e+09 -1.0 1.20e+00 8.8 5.95e-01 8.13e-02h 1\n", - " 443 -2.3416039e+00 7.42e+00 1.98e+09 -1.0 2.41e+00 8.3 4.04e-04 4.04e-04s 11\n", - " 444r-2.3416039e+00 7.42e+00 9.99e+02 0.9 0.00e+00 8.8 0.00e+00 0.00e+00R 1\n", - " 445r-1.1131506e+00 1.74e+00 9.89e+02 0.9 6.05e+03 - 1.26e-02 1.22e-03f 1\n", - " 446 -7.4811265e-01 1.50e+00 2.14e+03 -1.0 4.08e+00 - 3.50e-03 1.52e-01h 2\n", - " 447 -6.9891025e-01 1.42e+00 6.35e+02 -1.0 1.78e+01 - 4.33e-02 5.37e-02h 3\n", - " 448 -6.8324002e-01 1.40e+00 5.90e+02 -1.0 7.27e+00 - 1.65e-01 1.60e-02f 4\n", - " 449 -6.5312793e-01 1.35e+00 5.36e+02 -1.0 3.15e+00 - 5.07e-01 3.56e-02h 4\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 450 -6.3080687e-01 1.31e+00 5.15e+02 -1.0 1.76e+00 - 3.78e-01 2.87e-02f 5\n", - " 451 -1.6348423e-01 2.60e+02 5.07e+04 -1.0 2.43e+00 - 4.49e-01 5.28e-01f 1\n", - " 452 3.8237978e-01 8.18e+01 1.23e+09 -1.0 2.35e-01 8.3 9.91e-01 1.00e+00h 1\n", - " 453 6.7871725e-01 1.66e+02 1.23e+09 -1.0 5.19e-01 7.8 4.22e-01 1.00e+00h 1\n", - " 454 6.4444802e-01 5.17e+01 7.17e+08 -1.0 8.69e-02 8.2 1.00e+00 1.00e+00h 1\n", - " 455 5.6227177e-01 6.41e+00 3.22e+08 -1.0 1.34e-01 7.8 1.00e+00 1.00e+00h 1\n", - " 456 5.5397169e-01 1.54e+00 3.34e+07 -1.0 3.73e-02 7.3 1.00e+00 1.00e+00h 1\n", - " 457 5.5996367e-01 1.75e-01 1.95e+06 -1.0 8.35e-03 7.7 1.00e+00 1.00e+00h 1\n", - " 458 5.5554762e-01 2.85e-02 2.95e+05 -1.0 1.67e-02 7.2 1.00e+00 1.00e+00h 1\n", - " 459 5.3400995e-01 4.86e-02 2.93e+05 -1.0 3.85e-02 6.7 1.00e+00 1.00e+00H 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 460 4.7565375e-01 9.29e-02 1.35e+06 -1.0 1.25e-01 6.3 1.00e+00 1.00e+00H 1\n", - " 461 4.0589421e-01 3.65e-01 1.06e+06 -1.0 2.91e-01 5.8 1.00e+00 1.00e+00H 1\n", - " 462 4.0455986e-01 3.59e-01 1.05e+06 -1.0 2.12e+00 5.3 9.07e-01 1.56e-02h 7\n", - " 463 3.8692238e-01 1.30e-01 7.52e+05 -1.0 1.77e-01 5.7 1.00e+00 1.00e+00H 1\n", - " 464 3.8790228e-01 1.27e-01 5.96e+06 -1.0 5.00e-02 7.1 1.00e+00 1.00e+00H 1\n", - " 465 3.8790354e-01 1.34e-01 5.30e+06 -1.0 1.34e-03 9.3 1.00e+00 1.25e-01h 4\n", - " 466 3.8790753e-01 1.19e-01 1.40e+06 -1.0 2.92e-04 9.7 1.00e+00 1.00e+00h 1\n", - " 467 3.8790908e-01 1.27e-01 1.48e+06 -1.0 1.16e-03 9.2 1.00e+00 1.25e-01h 4\n", - " 468 3.8790937e-01 1.28e-01 1.49e+06 -1.0 3.24e-03 8.8 1.00e+00 1.56e-02h 7\n" + "Output this time: [0.000199428298248, 4.156079776071428e-05, 4.186773815329995e-05, 4.2386058726678675e-05, 4.2845086899769506e-05, 4.324631597604595e-05, 4.3604997794626435e-05, 4.392195618071767e-05, 4.4216772557671385e-05, 4.449192990913498e-05, 4.4776188258637974e-05, 4.508279218725344e-05, 4.546418260400839e-05, 4.5966399570083096e-05, 4.6700446000677244e-05, 4.7808383297473426e-05, 4.952654540999051e-05, 5.228707422734509e-05, 5.654913020678204e-05, 6.35865614242402e-05, 7.417176838994665e-05, 9.170366635986689e-05, 0.00011730731790815093, 0.0001585907702813316, 0.00021743721516521912, 0.0003068132253206722, 0.00043318845709654604, 0.000608981812875936, 0.0008617458306216008, 0.0011795627626253855, 0.0016518853859392307, 0.0021946802586777017, 0.0030171224022230796, 0.003915324152162183, 0.005243160812283472, 0.006709339281233267, 0.008688747014108374, 0.011077602526129167, 0.013846889581147466, 0.018277745110602202, 0.02263825105988997, 0.026764280603760862, 0.030620096591922028, 0.03419019470406075, 0.03747223688861925, 0.04047253956858535, 0.043202950986590605, 0.04567867017433706, 0.04791672277133468, 0.04993490255736807, 0.05175104602994686, 0.05338254604639768, 0.05484603709396614, 0.05615720339384366, 0.057330674348905424, 0.05837998144716698, 0.059317557720894185, 0.06015476597741282, 0.06090194577944851, 0.06156847192659398, 0.06216281923781122, 0.06269262994776799, 0.06316478114599738, 0.06358545050927121, 0.0639601791795058, 0.06429393107789595, 0.06459114826244183, 0.06485580216175661, 0.06509144067621148, 293.15, 293.1500295069122, 293.15007219183445, 293.150146962884, 293.1502693819347, 293.15043953121744, 293.150700883735, 293.15101317109793, 293.15148662323946, 293.15199565765204, 293.152769333842, 293.1535505037803, 293.1547143203214, 293.15588804853627, 293.1575031043283, 293.1592861419051, 293.1614314058607, 293.165430471938, 293.1689762311724, 293.16845615972295, 293.1673616159324, 293.16615303195476, 293.1649034409876, 293.1636615526709, 293.16245893322105, 293.1613152887635, 293.1602420742391, 293.15924501344136, 293.15832588421773, 293.1574837919759, 293.1567160809705, 293.15601898559856, 293.15538809402386, 293.1548186755069, 293.15430590854896, 293.15384503692286, 293.15343147322307, 293.15306086451096, 293.1527291306552, 293.15243248323844, 293.1521674308473, 293.15193077494354, 293.1517195994783, 293.1515312565064, 293.15136334945015, 293.15121371519245, 293.1510804058307, 293.1509616706707, 293.15085593884464, 293.1507618028038, 293.1506780028323, 293.1506034126566, 293.15053702617456, 293.15047794528977, 293.1504253688161, 293.1503785823972, 293.15033694938234, 293.15029990258734, 293.15026693687633, 293.1502376024933, 293.150211499079, 293.15018827031076, 293.1501675991052, 293.1501492033312, 293.15013283197993, 293.1501182617479, 293.15010529398876, 293.15009375199725, 293.1500834785887, 293.15, 293.1500010327979, 293.1499999960621, 293.14999999526043, 293.15000000449504, 293.15000002109593, 293.15000005200625, 293.1500001059197, 293.15000020390016, 293.15000036817366, 293.150000658732, 293.1500011333336, 293.15000194975147, 293.150003267607, 293.1500054665074, 293.15000901808173, 293.15001470958856, 293.1500239832187, 293.15003809311037, 293.150061196215, 293.15009428055373, 293.1501475684377, 293.1502194283797, 293.15032987285537, 293.1504728588976, 293.15067642118026, 293.15093964804174, 293.1512771051877, 293.15173502265213, 293.152251839674, 293.15300941248825, 293.15376750032203, 293.1549458128589, 293.15604834832726, 293.1577445327024, 293.15938979183016, 293.16176447069614, 293.1658185225592, 293.1688290731366, 293.1681073449517, 293.1670128857274, 293.16581753063434, 293.16458858976586, 293.1633710607664, 293.16219416972734, 293.16107616180994, 293.160027603312, 293.1590537056358, 293.1581559815509, 293.15733343294534, 293.156583404256, 293.1559021947842, 293.15528549592835, 293.1547287007766, 293.15422712046865, 293.1537761324698, 293.15337127922356, 293.1530083307876, 293.1526833215037, 293.15239256812947, 293.1521326749179, 293.15190052969194, 293.1516932938875, 293.1515083887393, 293.1513434791864, 293.15119645663236, 293.1510654213603, 293.15094866516273, 293.1508446545582]\n", + "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.270698985694391}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15270698985694392}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is ./priors/20210916_feed313_bath293.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "temp_feed is fixed at 313.15\n", + "yfeed is fixed at 0.15\n", + "Ipopt 3.13.2: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 7.30e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (2556557)\n", + " 1 0.0000000e+00 7.28e+01 3.62e+02 -1.0 5.56e+00 - 6.40e-01 1.78e-03h 1\n", + "Reallocating memory for MA57: lfact (3084439)\n", + " 2 0.0000000e+00 7.28e+01 9.70e+06 -1.0 5.58e+00 - 4.79e-01 1.77e-05h 1\n", + "Reallocating memory for MA57: lfact (3579398)\n", + " 3 0.0000000e+00 3.01e+01 9.44e+06 -1.0 1.52e+00 - 2.71e-02 7.76e-01f 1\n", + " 4 0.0000000e+00 9.15e+00 7.35e+06 -1.0 8.11e-01 - 2.21e-01 1.00e+00h 1\n", + " 5 0.0000000e+00 2.78e+00 4.28e+06 -1.0 1.05e+00 - 4.18e-01 1.00e+00h 1\n", + " 6 0.0000000e+00 8.46e-01 1.81e+06 -1.0 3.86e-01 - 5.77e-01 1.00e+00h 1\n", + " 7r 0.0000000e+00 8.46e-01 1.00e+03 -0.1 0.00e+00 - 0.00e+00 4.68e-07R 2\n", + " 8r 0.0000000e+00 6.17e-01 9.86e+02 -0.1 7.94e+02 - 1.42e-02 1.05e-03f 1\n", + "Reallocating memory for MA57: lfact (3808588)\n", + " 9r 0.0000000e+00 3.07e-01 8.99e+02 -0.1 1.38e+01 - 1.71e-01 1.41e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 5.43e+00 6.44e+02 -0.1 3.06e+00 - 2.74e-01 1.85e-01f 1\n", + " 11r 0.0000000e+00 1.74e+02 1.29e+04 -0.1 2.61e+00 - 4.82e-01 6.00e-01f 1\n", + " 12r 0.0000000e+00 6.99e+01 4.36e+03 -0.1 9.48e-01 2.0 7.96e-01 7.95e-01f 1\n", + " 13r 0.0000000e+00 4.40e+01 2.11e+04 -0.1 7.83e-01 2.4 4.94e-01 4.37e-01f 1\n", + " 14r 0.0000000e+00 1.74e+01 1.27e+05 -0.1 1.76e+00 1.9 7.66e-01 8.46e-01f 1\n", + "Reallocating memory for MA57: lfact (4543108)\n", + " 15r 0.0000000e+00 1.73e+01 1.26e+05 -0.1 1.63e+00 3.3 2.59e-02 6.70e-03h 1\n", + " 16r 0.0000000e+00 1.29e+01 9.30e+04 -0.1 4.76e-01 2.8 1.35e-02 2.87e-01h 1\n", + " 17r 0.0000000e+00 1.25e+01 8.99e+04 -0.1 1.70e+00 3.2 2.58e-02 3.36e-02h 1\n", + " 18r 0.0000000e+00 1.06e+01 7.54e+04 -0.1 1.98e+00 2.7 3.13e-02 1.65e-01h 1\n", + " 19r 0.0000000e+00 6.13e+00 3.80e+04 -0.1 2.74e-01 3.2 6.80e-01 5.64e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 5.50e+00 3.37e+04 -0.1 2.53e+00 2.7 3.66e-02 1.14e-01h 1\n", + " 21r 0.0000000e+00 4.33e+00 2.48e+04 -0.1 2.50e+00 2.2 1.37e-01 2.68e-01h 1\n", + " 22r 0.0000000e+00 4.20e+00 2.40e+04 -0.1 1.19e+00 3.6 1.27e-02 3.18e-02h 1\n", + " 23r 0.0000000e+00 3.95e+00 2.25e+04 -0.1 1.77e+00 3.1 2.91e-02 6.52e-02h 1\n", + " 24r 0.0000000e+00 3.81e+00 2.16e+04 -0.1 1.15e+00 3.5 1.61e-02 3.86e-02h 1\n", + " 25r 0.0000000e+00 3.50e+00 2.01e+04 -0.1 1.49e+00 3.0 2.45e-02 1.06e-01h 1\n", + " 26r 0.0000000e+00 3.22e+00 5.74e+04 -0.1 7.75e-01 3.4 2.02e-02 2.45e-01h 1\n", + "Reallocating memory for MA57: lfact (4937035)\n", + " 27r 0.0000000e+00 3.19e+00 5.57e+04 -0.1 1.07e+00 3.9 1.05e-02 2.35e-02h 1\n", + " 28r 0.0000000e+00 3.16e+00 2.57e+04 -0.1 3.12e-01 4.3 3.36e-02 1.00e+00h 1\n", + " 29r 0.0000000e+00 3.14e+00 9.08e+03 -0.1 8.98e-02 3.8 1.00e+00 7.74e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 3.14e+00 4.81e+03 -0.1 3.57e-02 4.2 7.94e-01 1.00e+00f 1\n", + " 31r 0.0000000e+00 3.13e+00 2.67e+03 -0.1 1.13e-01 3.8 1.00e+00 8.47e-01f 1\n", + " 32r 0.0000000e+00 3.11e+00 2.35e+03 -0.1 5.25e-02 3.3 1.00e+00 2.26e-01f 1\n", + " 33r 0.0000000e+00 3.10e+00 4.14e+03 -0.1 1.93e-02 3.7 1.00e+00 1.00e+00f 1\n", + " 34r 0.0000000e+00 3.04e+00 3.24e+04 -0.1 1.63e-01 3.2 6.13e-01 1.00e+00f 1\n", + " 35r 0.0000000e+00 3.04e+00 2.59e+03 -0.1 9.24e-01 3.7 2.51e-01 1.47e-01f 1\n", + " 36r 0.0000000e+00 3.04e+00 2.45e+03 -0.1 3.70e-02 4.1 1.00e+00 4.72e-02h 1\n", + " 37r 0.0000000e+00 3.02e+00 1.44e+04 -0.1 8.86e-02 3.6 1.00e+00 1.00e+00f 1\n", + " 38r 0.0000000e+00 3.01e+00 9.43e+03 -0.1 6.09e-02 4.0 1.00e+00 1.00e+00f 1\n", + " 39r 0.0000000e+00 3.00e+00 7.01e+03 -0.1 2.37e-01 3.6 5.50e-01 3.54e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 2.92e+00 2.15e+04 -0.1 1.46e-01 3.1 7.44e-01 8.96e-01f 1\n", + " 41r 0.0000000e+00 2.92e+00 1.32e+03 -0.1 3.90e-02 4.4 1.00e+00 1.00e+00f 1\n", + " 42r 0.0000000e+00 2.91e+00 1.55e+04 -0.1 4.15e-02 3.9 1.00e+00 1.00e+00f 1\n", + " 43r 0.0000000e+00 2.91e+00 1.11e+04 -0.1 6.22e+00 3.5 2.05e-02 1.22e-02f 1\n", + " 44r 0.0000000e+00 2.83e+00 6.07e+03 -0.1 1.05e-01 3.0 1.00e+00 7.81e-01f 1\n", + " 45r 0.0000000e+00 8.59e+00 3.25e+05 -0.1 1.31e+00 2.5 1.32e-01 4.23e-01f 1\n", + " 46r 0.0000000e+00 2.68e+00 1.29e+05 -0.1 1.03e-01 3.8 4.39e-01 1.00e+00f 1\n", + " 47r 0.0000000e+00 2.67e+00 1.14e+05 -0.1 5.20e-01 3.4 3.51e-01 1.10e-01f 1\n", + " 48r 0.0000000e+00 2.66e+00 5.76e+04 -0.1 8.52e-02 3.8 1.00e+00 5.88e-01f 1\n", + " 49r 0.0000000e+00 2.66e+00 1.54e+04 -0.1 3.41e-02 4.2 7.50e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 2.64e+00 4.50e+03 -0.1 1.34e-01 3.7 8.44e-01 6.77e-01f 1\n", + " 51r 0.0000000e+00 2.64e+00 4.33e+03 -0.1 4.84e-01 3.3 1.00e+00 3.77e-02f 1\n", + " 52r 0.0000000e+00 2.47e+00 9.26e+03 -0.1 2.12e-01 2.8 1.00e+00 1.00e+00f 1\n", + " 53r 0.0000000e+00 2.46e+00 2.34e+02 -0.1 1.81e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 54r 0.0000000e+00 2.44e+00 3.24e+04 -0.1 1.58e-01 3.6 1.00e+00 1.00e+00f 1\n", + " 55r 0.0000000e+00 2.44e+00 1.87e+04 -0.1 8.66e-02 4.1 1.00e+00 5.20e-01f 1\n", + " 56r 0.0000000e+00 2.43e+00 1.19e+04 -0.1 3.70e-01 3.6 5.73e-01 2.62e-01f 1\n", + " 57r 0.0000000e+00 2.43e+00 9.65e+03 -0.1 7.88e-02 4.0 1.00e+00 2.13e-01f 1\n", + " 58r 0.0000000e+00 2.40e+00 4.15e+04 -0.1 1.72e-01 3.5 9.88e-01 1.00e+00f 1\n", + " 59r 0.0000000e+00 2.39e+00 1.28e+04 -0.1 1.08e-01 4.0 1.00e+00 8.25e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 2.38e+00 1.06e+04 -0.1 2.75e-01 3.5 1.00e+00 1.69e-01f 1\n", + " 61r 0.0000000e+00 2.28e+00 1.55e+04 -0.1 1.56e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 62r 0.0000000e+00 2.27e+00 2.16e+03 -0.1 2.78e-02 4.3 1.00e+00 1.00e+00f 1\n", + " 63r 0.0000000e+00 2.26e+00 1.23e+04 -0.1 6.13e-02 3.9 1.00e+00 1.00e+00f 1\n", + " 64r 0.0000000e+00 2.25e+00 4.74e+03 -0.1 4.10e-02 4.3 1.00e+00 1.00e+00f 1\n", + " 65r 0.0000000e+00 2.24e+00 7.32e+02 -0.1 1.11e-01 3.8 1.00e+00 6.05e-01f 1\n", + " 66r 0.0000000e+00 2.24e+00 1.12e+03 -0.1 2.33e-01 3.3 1.00e+00 4.67e-02f 1\n", + " 67r 0.0000000e+00 2.08e+00 1.60e+03 -0.1 1.56e-01 2.9 1.00e+00 1.00e+00f 1\n", + " 68r 0.0000000e+00 1.99e+00 1.40e+03 -0.1 6.59e-02 3.3 1.00e+00 1.00e+00f 1\n", + " 69r 0.0000000e+00 1.92e+00 7.57e+02 -0.1 2.90e-02 3.7 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 1.89e+00 1.61e+02 -0.1 1.19e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 71r 0.0000000e+00 1.39e+00 9.83e+03 -0.1 8.37e-02 3.7 1.00e+00 1.00e+00f 1\n", + " 72r 0.0000000e+00 9.56e-01 9.73e+03 -0.1 5.96e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 73r 0.0000000e+00 4.91e-01 5.19e+03 -0.1 2.10e-01 3.6 1.00e+00 5.01e-01f 1\n", + " 74r 0.0000000e+00 4.43e-01 4.48e+03 -0.1 1.17e-02 3.1 1.00e+00 1.20e-01h 1\n", + " 75r 0.0000000e+00 2.97e-02 2.87e+03 -0.1 1.66e-02 2.6 1.00e+00 1.00e+00f 1\n", + " 76r 0.0000000e+00 3.59e-02 7.73e+01 -0.1 4.19e-02 2.2 1.00e+00 1.00e+00f 1\n", + " 77r 0.0000000e+00 4.69e-01 7.51e+01 -0.1 1.07e-01 1.7 1.00e+00 1.00e+00f 1\n", + " 78r 0.0000000e+00 8.95e+00 3.16e+02 -0.1 5.00e-01 1.2 1.00e+00 1.00e+00f 1\n", + " 79r 0.0000000e+00 3.74e+01 4.16e+03 -0.1 7.47e-01 0.7 1.00e+00 6.57e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 3.23e+00 2.61e+03 -0.1 1.05e-01 3.0 1.00e+00 1.00e+00f 1\n", + " 81r 0.0000000e+00 4.21e-01 4.88e+02 -0.1 2.98e-02 2.5 1.00e+00 1.00e+00f 1\n", + " 82r 0.0000000e+00 4.73e-02 5.13e+00 -0.1 3.17e-02 2.0 1.00e+00 1.00e+00f 1\n", + " 83r 0.0000000e+00 1.03e-01 9.15e+01 -1.5 1.18e-01 1.5 1.00e+00 8.57e-01f 1\n", + " 84r 0.0000000e+00 4.15e-01 6.94e+01 -1.5 2.80e-01 1.1 6.66e-01 6.31e-01f 1\n", + " 85r 0.0000000e+00 8.77e-01 4.62e+02 -1.5 6.14e-01 0.6 1.00e+00 4.57e-01f 1\n", + " 86r 0.0000000e+00 6.85e-01 4.27e+02 -1.5 3.56e-01 1.0 1.00e+00 3.05e-01f 1\n", + " 87r 0.0000000e+00 6.04e-01 5.00e+02 -1.5 2.81e-01 0.5 1.00e+00 1.74e-01f 1\n", + " 88r 0.0000000e+00 3.12e+00 4.23e+02 -1.5 3.33e+00 0.1 2.53e-01 1.98e-01f 1\n", + " 89r 0.0000000e+00 1.63e+00 1.95e+02 -1.5 3.92e-01 0.5 1.00e+00 7.12e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 5.06e-01 1.98e+02 -1.5 2.06e-01 0.9 1.00e+00 5.41e-01f 1\n", + " 91r 0.0000000e+00 1.87e-01 1.79e+02 -1.5 2.33e-01 0.4 1.00e+00 6.85e-01f 1\n", + " 92r 0.0000000e+00 3.54e-01 3.00e+02 -1.5 3.46e+00 - 5.31e-01 1.20e-01f 1\n", + " 93r 0.0000000e+00 3.08e-01 4.16e+02 -1.5 5.80e-01 -0.0 1.00e+00 1.47e-01f 1\n", + " 94r 0.0000000e+00 5.84e-01 6.47e+02 -1.5 3.14e+00 - 9.76e-01 1.10e-01f 1\n", + " 95r 0.0000000e+00 5.42e-01 5.83e+02 -1.5 1.28e+01 - 2.10e-03 9.36e-02f 1\n", + " 96r 0.0000000e+00 7.52e-01 8.61e+02 -1.5 9.98e-01 - 7.75e-01 4.63e-01f 1\n", + " 97r 0.0000000e+00 7.95e-01 2.99e+02 -1.5 6.68e-01 - 7.55e-01 8.91e-01f 1\n", + " 98r 0.0000000e+00 4.34e-01 2.11e+02 -1.5 1.07e+00 - 1.00e+00 4.31e-01f 1\n", + " 99r 0.0000000e+00 3.14e-02 3.04e+00 -1.5 2.07e-01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 2.07e-03 1.26e-01 -1.5 6.03e-03 - 1.00e+00 1.00e+00f 1\n", + " 101r 0.0000000e+00 1.05e-01 2.00e+02 -3.3 8.01e-01 - 9.31e-01 2.90e-01f 1\n", + " 102r 0.0000000e+00 1.99e-01 2.19e+02 -3.3 8.87e-01 - 7.05e-01 3.31e-01f 1\n", + " 103r 0.0000000e+00 2.04e-01 1.69e+02 -3.3 6.73e-01 - 4.76e-01 3.40e-01f 1\n", + " 104r 0.0000000e+00 1.73e-01 1.54e+02 -3.3 4.74e-01 - 4.82e-01 2.37e-01f 1\n", + " 105r 0.0000000e+00 1.31e-01 2.08e+02 -3.3 3.70e-01 - 7.27e-01 3.80e-01f 1\n", + " 106r 0.0000000e+00 9.69e-02 1.56e+02 -3.3 2.76e-01 - 4.50e-01 3.44e-01f 1\n", + " 107r 0.0000000e+00 6.55e-02 8.32e+01 -3.3 2.31e-01 - 2.29e-01 4.54e-01f 1\n", + " 108r 0.0000000e+00 4.44e-02 9.31e+01 -3.3 1.87e-01 - 5.15e-01 4.86e-01f 1\n", + " 109r 0.0000000e+00 4.14e-02 1.52e+02 -3.3 1.53e-01 - 3.39e-01 6.94e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 3.92e-02 2.48e+02 -3.3 1.47e-01 - 8.95e-02 5.43e-02f 1\n", + " 111r 0.0000000e+00 3.22e-02 2.19e+02 -3.3 1.44e-01 - 6.60e-02 2.08e-01f 1\n", + " 112r 0.0000000e+00 2.92e-02 2.10e+02 -3.3 1.34e-01 - 3.12e-01 9.97e-02f 1\n", + " 113r 0.0000000e+00 2.69e-02 1.92e+02 -3.3 1.30e-01 - 1.00e-01 8.34e-02f 1\n", + " 114r 0.0000000e+00 1.72e-02 1.06e+02 -3.3 1.26e-01 - 6.09e-01 6.66e-01f 1\n", + " 115r 0.0000000e+00 1.63e-02 4.07e+02 -3.3 1.04e-01 - 2.40e-01 5.96e-02f 1\n", + " 116r 0.0000000e+00 1.51e-02 5.54e+02 -3.3 1.01e-01 - 4.84e-01 7.90e-02f 1\n", + " 117r 0.0000000e+00 1.22e-02 4.37e+02 -3.3 9.89e-02 - 1.20e-01 2.35e-01f 1\n", + " 118r 0.0000000e+00 8.95e-03 2.20e+02 -3.3 9.25e-02 - 1.00e+00 4.62e-01f 1\n", + " 119r 0.0000000e+00 7.31e-03 2.10e+02 -3.3 7.56e-02 - 3.43e-01 2.22e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 6.82e-03 5.01e+02 -3.3 7.39e-02 - 2.74e-01 7.20e-02f 1\n", + " 121r 0.0000000e+00 5.84e-03 4.74e+02 -3.3 7.06e-02 - 4.78e-02 1.71e-01f 1\n", + " 122r 0.0000000e+00 5.45e-03 4.39e+02 -3.3 6.73e-02 - 9.69e-02 7.09e-02f 1\n", + " 123r 0.0000000e+00 4.08e-03 2.11e+02 -3.3 6.58e-02 - 7.05e-01 4.71e-01f 1\n", + " 124r 0.0000000e+00 3.76e-03 3.54e+02 -3.3 5.83e-02 - 4.39e-01 8.77e-02f 1\n", + " 125r 0.0000000e+00 3.30e-03 1.57e+02 -3.3 5.70e-02 - 6.72e-02 1.42e-01f 1\n", + " 126r 0.0000000e+00 2.61e-03 1.28e+02 -3.3 5.45e-02 - 1.29e-01 3.31e-01f 1\n", + " 127r 0.0000000e+00 2.40e-03 2.66e+02 -3.3 4.82e-02 - 2.03e-01 8.77e-02f 1\n", + " 128r 0.0000000e+00 2.15e-03 4.41e+02 -3.3 4.66e-02 - 4.67e-01 1.18e-01f 1\n", + " 129r 0.0000000e+00 1.70e-03 2.54e+02 -3.3 4.50e-02 - 7.10e-02 3.20e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 0.0000000e+00 1.57e-03 2.79e+02 -3.3 4.11e-02 - 2.04e-01 8.68e-02f 1\n", + " 131r 0.0000000e+00 1.41e-03 2.48e+02 -3.3 3.95e-02 - 1.12e-01 1.17e-01f 1\n", + " 132r 0.0000000e+00 1.20e-03 2.79e+02 -3.3 3.76e-02 - 8.34e-02 1.92e-01f 1\n", + " 133r 0.0000000e+00 1.10e-03 2.50e+02 -3.3 3.35e-02 - 1.40e-01 9.30e-02f 1\n", + " 134r 0.0000000e+00 9.62e-04 2.23e+02 -3.3 3.31e-02 - 1.06e-01 1.44e-01f 1\n", + " 135r 0.0000000e+00 8.83e-04 1.92e+02 -3.3 3.11e-02 - 1.08e-01 9.06e-02f 1\n", + " 136r 0.0000000e+00 7.86e-04 1.80e+02 -3.3 2.78e-02 - 1.09e-01 1.24e-01f 1\n", + " 137r 0.0000000e+00 7.28e-04 1.59e+02 -3.3 2.44e-02 - 1.23e-01 7.74e-02f 1\n", + " 138r 0.0000000e+00 6.57e-04 1.35e+02 -3.3 2.00e-02 - 1.38e-01 1.03e-01f 1\n", + " 139r 0.0000000e+00 6.00e-04 1.91e+02 -3.3 1.31e-02 - 1.56e-01 8.95e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 0.0000000e+00 4.81e-04 1.18e+02 -3.3 6.09e-03 - 1.36e-01 2.01e-01f 1\n", + " 141r 0.0000000e+00 3.83e-07 4.99e+02 -3.3 4.32e-04 - 1.60e-01 1.00e+00f 1\n", + " 142r 0.0000000e+00 4.01e-07 1.43e+01 -3.3 5.84e-04 - 1.00e+00 1.00e+00f 1\n", + " 143r 0.0000000e+00 2.62e-07 8.84e-04 -3.3 2.39e-05 - 1.00e+00 1.00e+00h 1\n", + " 144r 0.0000000e+00 1.11e-05 4.74e+01 -5.0 3.88e-03 - 1.00e+00 7.86e-01f 1\n", + " 145r 0.0000000e+00 6.15e-07 6.03e-02 -5.0 7.40e-04 - 1.00e+00 1.00e+00f 1\n", + " 146r 0.0000000e+00 1.29e-08 1.33e-05 -5.0 9.35e-05 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 146\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.4953899469214319e-09 1.2867658938375826e-08\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.4953899469214319e-09 1.2867658938375826e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 149\n", + "Number of objective gradient evaluations = 9\n", + "Number of equality constraint evaluations = 149\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 148\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 146\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 50.016\n", + "Total CPU secs in NLP function evaluations = 7.080\n", + "\n", + "EXIT: Optimal Solution Found.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " 469 3.8790937e-01 1.29e-01 1.49e+06 -1.0 9.88e-03 8.3 1.00e+00 3.91e-03h 9\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 470 3.8790915e-01 1.31e-01 1.49e+06 -1.0 2.55e-02 7.8 1.00e+00 1.95e-03h 10\n", - " 471 3.8790907e-01 1.32e-01 1.48e+06 -1.0 1.24e-02 8.2 1.00e+00 3.91e-03h 9\n", - " 472 3.8790870e-01 1.34e-01 1.48e+06 -1.0 2.95e-02 7.8 1.00e+00 1.95e-03h 10\n", - " 473 3.8790852e-01 1.35e-01 1.48e+06 -1.0 1.46e-02 8.2 1.00e+00 3.91e-03h 9\n", - " 474 3.8790799e-01 1.36e-01 1.48e+06 -1.0 3.16e-02 7.7 1.00e+00 1.95e-03h 10\n", - " 475 3.8790785e-01 1.37e-01 1.48e+06 -1.0 1.87e-01 7.2 1.00e+00 1.22e-04h 14\n", - " 476 3.8790717e-01 1.38e-01 1.48e+06 -1.0 3.36e-02 7.7 1.00e+00 1.95e-03h 10\n", - " 477 3.8780413e-01 9.80e+01 2.72e+07 -1.0 1.75e-02 8.1 1.00e+00 1.00e+00w 1\n", - " 478 3.8748847e-01 2.52e+01 8.19e+06 -1.0 2.25e-02 7.6 1.00e+00 1.00e+00w 1\n", - " 479 3.8711181e-01 9.74e+00 9.97e+06 -1.0 4.53e-02 7.1 1.00e+00 1.00e+00w 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 480 3.8790676e-01 1.39e-01 1.48e+06 -1.0 5.00e-02 6.7 1.00e+00 3.91e-03h 8\n", - " 481 3.8790615e-01 1.40e-01 1.47e+06 -1.0 1.98e-02 8.0 1.00e+00 3.91e-03h 9\n", - " 482 3.8790490e-01 1.41e-01 1.47e+06 -1.0 3.26e-02 7.5 1.00e+00 1.95e-03h 10\n", - " 483 3.8790371e-01 1.42e-01 1.47e+06 -1.0 6.35e-02 7.0 1.00e+00 4.88e-04h 12\n", - " 484 3.8790220e-01 1.43e-01 1.47e+06 -1.0 3.16e-02 7.5 1.00e+00 1.95e-03h 10\n", - " 485 3.8789965e-01 1.44e-01 1.47e+06 -1.0 6.00e-02 7.0 1.00e+00 9.77e-04h 11\n", - " 486 3.8789784e-01 1.44e-01 1.46e+06 -1.0 2.95e-02 7.4 1.00e+00 1.95e-03h 10\n", - " 487 3.8789644e-01 1.44e-01 1.46e+06 -1.0 6.51e-02 6.9 1.00e+00 4.88e-04h 12\n", - " 488 3.8789219e-01 1.46e-01 1.46e+06 -1.0 3.02e-02 7.4 1.00e+00 3.91e-03h 9\n", - " 489 3.8788549e-01 1.47e-01 1.46e+06 -1.0 7.04e-02 6.9 1.00e+00 1.95e-03h 10\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 490 3.8656449e-01 9.83e+01 4.86e+07 -1.0 3.33e-02 7.3 1.00e+00 1.00e+00w 1\n", - " 491 3.8455229e-01 2.54e+01 1.42e+07 -1.0 4.88e-02 6.8 1.00e+00 1.00e+00w 1\n", - " 492 3.8288876e-01 1.14e+01 5.77e+06 -1.0 6.56e-02 6.4 1.00e+00 1.00e+00w 1\n", - " 493 3.8788032e-01 1.48e-01 1.45e+06 -1.0 2.30e-02 6.8 1.00e+00 3.91e-03h 8\n", - " 494 3.8787352e-01 1.48e-01 1.45e+06 -1.0 4.04e-02 7.2 1.00e+00 3.91e-03h 9\n", - " 495 3.8785279e-01 1.49e-01 1.44e+06 -1.0 8.76e-02 6.7 1.00e+00 3.91e-03h 9\n", - " 496 3.8783666e-01 1.50e-01 1.43e+06 -1.0 4.41e-02 7.2 1.00e+00 7.81e-03h 8\n", - " 497 3.8778699e-01 1.50e-01 1.42e+06 -1.0 9.29e-02 6.7 1.00e+00 7.81e-03h 8\n", - " 498 3.8774873e-01 1.51e-01 1.40e+06 -1.0 4.79e-02 7.1 1.00e+00 1.56e-02h 7\n", - " 499 3.8751521e-01 1.50e-01 1.36e+06 -1.0 9.73e-02 6.6 1.00e+00 3.12e-02h 6\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 500 3.8619348e-01 1.44e-01 1.28e+06 -1.0 1.41e-01 6.1 1.00e+00 6.25e-02h 5\n", - " 501 3.8301707e-01 1.36e-01 1.20e+06 -1.0 1.97e-01 5.7 1.00e+00 6.25e-02h 5\n", - " 502 3.8010840e-01 1.19e-01 1.05e+06 -1.0 9.24e-02 6.1 1.00e+00 1.25e-01h 4\n", - " 503 3.7051616e-01 1.38e-01 7.68e+06 -1.0 5.22e-02 6.5 1.00e+00 1.00e+00w 1\n", - " 504 3.4167209e-01 1.22e+00 8.09e+06 -1.0 1.43e-01 6.0 1.00e+00 1.00e+00w 1\n", - " 505 2.9462555e-01 9.30e-01 1.63e+06 -1.0 2.34e-01 5.6 1.00e+00 1.00e+00w 1\n", - " 506 3.7530683e-01 6.18e-02 1.27e+06 -1.0 7.40e-02 6.0 1.00e+00 5.00e-01h 1\n", - " 507 3.6234580e-01 7.03e-02 4.24e+06 -1.0 4.36e-02 6.4 1.00e+00 1.00e+00h 1\n", - " 508 3.5718027e-01 1.15e-02 1.68e+06 -1.0 3.20e-02 6.8 1.00e+00 1.00e+00h 1\n", - " 509 3.4426750e-01 3.68e-02 1.65e+06 -1.0 5.32e-02 6.4 1.00e+00 1.00e+00H 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 510 3.3492261e-01 3.06e-02 8.78e+05 -1.0 2.02e-01 5.9 1.00e+00 1.00e+00H 1\n", - " 511 3.3468931e-01 2.11e-02 5.97e+05 -1.0 6.23e-02 6.3 1.00e+00 1.00e+00H 1\n", - " 512 3.3469633e-01 2.20e-02 5.79e+05 -1.0 1.92e-02 6.7 1.00e+00 3.12e-02h 6\n", - " 513 3.3471051e-01 2.37e-02 5.62e+05 -1.0 5.62e-02 6.3 1.00e+00 3.12e-02h 6\n", - " 514 3.3471534e-01 2.46e-02 5.45e+05 -1.0 2.14e-02 6.7 1.00e+00 3.12e-02h 6\n", - " 515 3.3471942e-01 2.64e-02 5.28e+05 -1.0 6.25e-02 6.2 1.00e+00 3.12e-02h 6\n", - " 516 3.3472121e-01 2.72e-02 5.12e+05 -1.0 2.38e-02 6.6 1.00e+00 3.12e-02h 6\n", - " 517 3.3471109e-01 2.93e-02 4.96e+05 -1.0 6.96e-02 6.2 1.00e+00 3.12e-02h 6\n", - " 518 3.3470896e-01 2.99e-02 4.81e+05 -1.0 2.65e-02 6.6 1.00e+00 3.12e-02h 6\n", - " 519 3.3468048e-01 3.20e-02 4.65e+05 -1.0 7.75e-02 6.1 1.00e+00 3.12e-02h 6\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 520 3.3467359e-01 3.24e-02 4.51e+05 -1.0 2.94e-02 6.5 1.00e+00 3.12e-02h 6\n", - " 521 3.3464854e-01 3.26e-02 4.44e+05 -1.0 8.62e-02 6.1 1.00e+00 1.56e-02h 7\n", - " 522 3.3429330e-01 1.28e+00 1.01e+05 -1.0 3.27e-02 6.5 1.00e+00 1.00e+00w 1\n", - " 523 3.3290434e-01 6.59e-01 1.17e+05 -1.0 7.95e-02 6.0 1.00e+00 7.75e-01w 1\n", - " 524 3.3280460e-01 6.10e-01 1.08e+05 -1.0 2.87e-02 6.4 1.00e+00 7.47e-02w 1\n", - " 525 3.3463744e-01 3.28e-02 4.30e+05 -1.0 8.33e-02 6.0 1.00e+00 3.12e-02h 5\n", - " 526 3.3462029e-01 3.31e-02 4.17e+05 -1.0 4.10e-02 6.4 1.00e+00 3.12e-02h 6\n", - " 527 3.3407070e-01 8.17e-02 5.42e+05 -1.0 1.55e-02 6.8 1.00e+00 1.00e+00H 1\n", - " 528 3.3199281e-01 4.46e-02 1.01e+05 -1.0 4.31e-02 6.3 1.00e+00 1.00e+00H 1\n", - " 529 3.2871545e-01 4.25e-02 9.64e+04 -1.0 1.33e-01 5.9 1.00e+00 4.56e-01H 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 530 3.2854435e-01 4.00e-02 9.62e+04 -1.0 5.13e-02 6.3 1.00e+00 6.20e-02h 1\n", - " 531 3.2830254e-01 3.92e-02 9.61e+04 -1.0 1.43e-01 5.8 1.00e+00 2.90e-02f 5\n", - " 532 3.2495433e-01 9.48e-03 1.03e+05 -1.0 5.73e-02 6.2 1.00e+00 1.00e+00H 1\n", - " 533 3.2300744e-01 5.54e-03 1.01e+05 -1.0 1.67e-01 5.8 1.00e+00 1.94e-01h 2\n", - " 534 3.1887096e-01 1.13e-02 9.75e+04 -1.0 3.95e-01 5.3 1.41e-01 1.41e-01s 20\n", - " 535 3.1689131e-01 1.33e-02 9.51e+04 -1.0 1.65e-01 5.7 1.75e-01 1.75e-01s 20\n", - " 536 3.0986930e-01 7.38e-02 1.90e+05 -1.0 5.14e-01 5.2 2.15e-01 2.15e-01s 20\n", - " 537 3.0845610e-01 4.56e-02 5.38e+05 -1.0 2.15e-02 6.6 8.81e-01 8.81e-01s 20\n", - " 538 3.0509953e-01 5.79e-02 3.26e+05 -1.0 5.28e-02 6.1 7.04e-01 7.04e-01s 20\n", - " 539 3.0385853e-01 5.29e-02 2.96e+05 -1.0 1.24e-01 5.6 8.92e-02 8.92e-02s 20\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 540 2.9516641e-01 4.29e-02 2.23e+05 -1.0 3.17e-01 5.1 2.14e-01 2.14e-01s 20\n", - " 541 2.8165740e-01 3.81e-02 1.93e+05 -1.0 6.57e-01 4.6 1.20e-01 1.20e-01s 20\n", - " 542 2.7612855e-01 3.74e-02 1.90e+05 -1.0 1.83e+00 4.2 1.93e-02 1.93e-02s 20\n", - " 543 2.7321611e-01 3.65e-02 1.85e+05 -1.0 6.16e-01 4.6 2.39e-02 2.39e-02s 20\n", - " 544 2.6920031e-01 3.60e-02 1.83e+05 -1.0 1.99e+00 4.1 1.30e-02 1.30e-02s 20\n", - " 545r 2.6920031e-01 3.60e-02 1.00e+03 -1.0 0.00e+00 4.5 0.00e+00 0.00e+00R 1\n", - " 546r 2.7107462e-01 9.72e-03 6.46e+02 -1.0 3.20e+01 - 3.84e-01 2.75e-03f 1\n", - " 547r 2.9323539e-01 1.63e+00 3.79e+02 -1.0 1.27e+00 - 4.63e-01 3.84e-01f 1\n", - " 548r 2.7140993e-01 9.67e-01 2.66e+03 -1.0 3.04e-01 0.0 4.34e-01 3.51e-01f 1\n", - " 549r 2.4080878e-01 2.65e-01 1.79e+04 -1.0 1.79e-01 0.4 5.05e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 550r 2.1952409e-01 2.78e-01 1.24e+04 -1.0 2.44e-01 -0.1 4.18e-01 3.56e-01f 1\n", - " 551r 7.8209612e-02 5.57e+01 4.04e+03 -1.0 7.43e-01 - 4.36e-01 1.00e+00f 1\n", - " 552r 7.7731527e-02 1.46e+01 1.26e+03 -1.0 3.02e-01 -0.5 4.83e-01 1.00e+00f 1\n", - " 553r 8.2774048e-02 9.41e+00 5.86e+02 -1.0 2.13e-01 - 6.70e-01 4.32e-01f 1\n", - " 554r 7.8588556e-02 3.40e+00 3.89e+03 -1.0 1.87e-01 -1.0 9.85e-01 1.00e+00f 1\n", - " 555r 7.6125145e-02 1.18e+00 2.78e+03 -1.0 2.58e-01 - 3.56e-01 1.00e+00f 1\n", - " 556r 7.0797880e-02 5.14e-01 8.32e+02 -1.0 2.56e-01 - 7.18e-01 1.00e+00f 1\n", - " 557r 3.8579907e-02 1.27e-01 1.48e+03 -1.0 2.04e-01 - 4.82e-01 1.00e+00f 1\n", - " 558r 3.8093017e-02 1.81e-01 8.86e+03 -1.0 1.43e-01 - 2.12e-01 9.85e-01h 1\n", - " 559r 3.6469843e-02 2.23e-02 1.36e+02 -1.0 2.00e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 560 3.4505419e-02 2.23e-02 1.20e+02 -1.0 1.34e+00 - 8.75e-01 3.30e-03h 7\n" + "Output this time: [0.000199428298248, 4.158983497112246e-05, 4.188756432950011e-05, 4.240081778575322e-05, 4.285536904159594e-05, 4.325365826507481e-05, 4.361001544889406e-05, 4.392603360019573e-05, 4.422110319991293e-05, 4.449828230644658e-05, 4.4787355653911307e-05, 4.510211751585779e-05, 4.549868008398653e-05, 4.6023823871184175e-05, 4.6798050528150947e-05, 4.7964936489890325e-05, 4.978356291089551e-05, 5.269044301774001e-05, 5.7189822914627274e-05, 6.457924805099343e-05, 7.568572031473033e-05, 9.402393670956967e-05, 0.00012067245171466352, 0.00016366189704138643, 0.00022437009178602553, 0.00031700736677380074, 0.00044629869962392913, 0.0006276272508997101, 0.0008845564333794297, 0.0012102459866769966, 0.0016887962544383393, 0.002240128297916874, 0.0030736238234987967, 0.003977143805286009, 0.005326412248318876, 0.00678776695988081, 0.008807025428847605, 0.011171485781317814, 0.014008363203863037, 0.018432199594661795, 0.022762944511483828, 0.026859431412007553, 0.03068760051643097, 0.03423278736716066, 0.037493027497184306, 0.040474713598131366, 0.04318958584057855, 0.045652627036163074, 0.04788058960419696, 0.04989097097486824, 0.0517013100758812, 0.05332871461974062, 0.054789554347185215, 0.05609927325548307, 0.05727228660303772, 0.058321937701017956, 0.05926049621868898, 0.060099184651876296, 0.06084822322832357, 0.06151688620000982, 0.06211356445194851, 0.06264583082156465, 0.06312050560532664, 0.06354372052764136, 0.06392098003339104, 0.06425721919365118, 0.06455685782415489, 0.0648238506379687, 0.06506173340997048, 293.15, 293.1500363757808, 293.1500879747416, 293.150178941004, 293.15032488646654, 293.1505293584749, 293.1508382312018, 293.151209603658, 293.1517668491003, 293.15236631216527, 293.15327675024764, 293.1541876121758, 293.1555610738029, 293.15691587593574, 293.1588321681039, 293.16087310897774, 293.16344805354305, 293.1681303042774, 293.1720790013649, 293.17138861567844, 293.17011723673625, 293.16871864256825, 293.167275237563, 293.16584192771927, 293.16445433187323, 293.1631347110192, 293.1618960207303, 293.1607447435718, 293.15968289784865, 293.1587094723115, 293.15782145436026, 293.15701456602176, 293.15628378887106, 293.1556237354123, 293.15502890854725, 293.154493879604, 293.15401340690477, 293.1535825113843, 293.15319652112777, 293.15285109376293, 293.15254222329213, 293.152266236088, 293.1520197796762, 293.1517998068634, 293.151603557095, 293.15142853639594, 293.15127249685, 293.1511334162866, 293.15100947862345, 293.1508990551581, 293.1508006869842, 293.1507130686242, 293.1506350329111, 293.15056553711105, 293.1505036502475, 293.15044854157225, 293.15039947011513, 293.15035577523906, 293.1503168681239, 293.1502822241046, 293.1502513757886, 293.1502239068841, 293.1501994466709, 293.15017766505383, 293.1501582681406, 293.1501409942919, 293.15012561059547, 293.150111909721, 293.15009970711503, 293.15, 293.1500012040912, 293.14999999627986, 293.14999999529874, 293.1500000068239, 293.1500000276612, 293.1500000663585, 293.15000013385827, 293.1500002561489, 293.15000046082696, 293.150000822017, 293.15000140979066, 293.1500024215486, 293.15000404557844, 293.15000676114954, 293.1500111156735, 293.15001811721345, 293.1500294291947, 293.15004668008083, 293.15007470422125, 293.1501147814197, 293.150179041997, 293.1502651457835, 293.15039764468696, 293.1505671942005, 293.1508105394263, 293.15112000014557, 293.1515223057485, 293.15205761522134, 293.1526706026554, 293.15355519177047, 293.1544457988428, 293.1558266817473, 293.15710591967905, 293.15910777385466, 293.1609941434289, 293.16384465656375, 293.1685801410694, 293.1718697168894, 293.170979815774, 293.1697093253747, 293.1683265915861, 293.1669074601985, 293.16550261587963, 293.1641450135226, 293.1628552490527, 293.1616452641013, 293.1605209559735, 293.15948403987665, 293.1585333861296, 293.1576659824147, 293.15687762532616, 293.1561634151181, 293.1555181067769, 293.15493635599245, 293.15441288824246, 293.1539426117353, 293.1535206895198, 293.153142582086, 293.15280406884057, 293.1525012546602, 293.15223056610887, 293.1519887406942, 293.15177281163756, 293.1515800899606, 293.1514081451833, 293.15125478555956, 293.15111803849027, 293.1509961315537]\n", + "Build time with sequential_finite mode [s]: 8.353520154953003\n", + "Solve time with sequential_finite mode [s]: 242.8640742301941\n", + "Existed information has been added.\n", + "FIM: [[0.00404735 0.02437269]\n", + " [0.02437269 1.46096024]]\n", + "Trace: 1.4650075919658094\n", + "Determinant: 0.005318992572691101\n", + "Condition number: 401.50385294042286\n", + "Minimal eigen value: 0.003639735573370162\n", + "Eigen values: [0.00363974 1.46136786]\n", + "Eigen vectors: [[-0.99986018 -0.01672198]\n", + " [ 0.01672198 -0.99986018]]\n" ] - }, + } + ], + "source": [ + "sensi_opt = 'sequential_finite'\n", + "\n", + "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", + " measurement, t_measure, model_integrate,\n", + " prior_FIM=prior_pass, discretize_model=None, args=args_,\n", + " measurement_extra_index = measurement_extra)\n", + "\n", + "if_s = True \n", + "\n", + "result = doe_object.compute_FIM(exp1, mode=sensi_opt, FIM_store_name = 'fixed_bed.csv',\n", + " scale_nominal_param_value = if_s, \n", + " store_output = 'store_output', read_output=None,\n", + " formula='central')\n", + "\n", + "result.calculate_FIM(doe_object.jac, doe_object.design_values)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "48e070dd", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - " 561 -2.3171275e-01 3.46e+00 7.57e+02 -1.0 3.85e+00 - 6.05e-01 3.66e-01f 1\n", - " 562 -2.1690382e-01 1.85e+00 8.66e+02 -1.0 8.27e+00 - 3.62e-01 1.38e-01f 1\n", - " 563 -2.1608123e-01 1.83e+01 1.37e+03 -1.0 1.17e+01 - 2.20e-01 2.73e-01f 1\n", - " 564 -1.9883068e-01 2.49e+02 2.73e+03 -1.0 1.30e+01 - 1.90e-01 2.70e-01f 1\n", - " 565 -1.9475931e-01 5.20e+01 1.06e+06 -1.0 1.53e+00 4.1 4.05e-01 1.00e+00h 1\n", - " 566 -1.9562062e-01 3.89e+01 7.87e+05 -1.0 5.12e-01 3.6 4.81e-01 2.78e-01h 1\n", - " 567 -1.9619143e-01 3.33e+01 6.72e+05 -1.0 2.31e+00 3.1 2.59e-01 1.53e-01h 1\n", - " 568 -1.9789479e-01 2.44e+01 1.19e+06 -1.0 1.92e+00 3.5 4.06e-01 2.96e-01h 1\n", - " 569 -1.7170300e-01 4.89e+01 1.08e+08 -1.0 3.47e+00 4.0 3.62e-02 2.15e-01f 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 570 -1.7195771e-01 1.63e+01 4.62e+07 -1.0 1.83e-01 6.2 4.81e-02 1.00e+00f 1\n", - " 571 -1.7538618e-01 5.88e+00 1.17e+07 -1.0 1.52e-01 5.7 1.00e+00 1.00e+00h 1\n", - " 572 -1.8678260e-01 2.68e+00 3.41e+06 -1.0 1.50e-01 5.2 1.00e+00 1.00e+00h 1\n", - " 573 -1.8932644e-01 2.37e+00 2.89e+06 -1.0 3.12e-01 4.8 1.00e+00 1.55e-01h 1\n", - " 574 -1.9190899e-01 2.05e+00 3.88e+06 -1.0 4.51e-01 5.2 1.00e+00 3.77e-01h 1\n", - " 575 -1.9422429e-01 1.60e+00 3.75e+06 -1.0 2.02e+00 4.7 8.43e-01 2.17e-01h 1\n", - " 576 -1.9443468e-01 1.50e-01 3.39e+08 -1.0 1.13e+00 6.0 1.82e-01 2.39e-01f 3\n", - " 577 -1.9559357e-01 9.00e-02 1.61e+08 -1.0 4.12e-02 5.6 1.00e+00 5.40e-01h 1\n", - " 578 -1.9680442e-01 6.75e-02 1.10e+08 -1.0 7.89e-02 5.1 1.00e+00 3.18e-01h 1\n", - " 579 -1.9735129e-01 6.26e-02 1.00e+08 -1.0 4.24e-01 4.6 1.00e+00 9.02e-02h 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 580 -1.9921335e-01 6.52e-02 3.25e+07 -1.0 8.47e-02 5.0 1.00e+00 6.82e-01h 1\n", - " 581 -1.9925075e-01 6.55e-02 3.24e+07 -1.0 1.14e+00 4.6 5.53e-01 4.00e-03h 8\n", - " 582 -2.0132668e-01 4.78e-02 1.90e+05 -1.0 8.23e-02 5.0 1.00e+00 1.00e+00H 1\n", - " 583 -2.0395368e-01 4.39e-02 1.59e+05 -1.0 1.57e-01 4.5 7.15e-01 1.65e-01h 2\n", - " 584 -2.0418390e-01 4.37e-02 1.58e+05 -1.0 1.88e+00 4.0 3.27e-01 3.89e-03h 6\n", - " 585 -2.0518717e-01 4.18e-02 1.50e+05 -1.0 2.19e-01 4.5 1.00e+00 5.08e-02h 4\n", - " 586 -2.0519160e-01 4.18e-02 1.50e+05 -1.0 1.19e+01 4.0 4.43e-02 5.51e-05h 13\n", - " 587 -2.0559317e-01 4.11e-02 1.48e+05 -1.0 2.83e-01 4.4 1.00e+00 1.73e-02h 6\n", - " 588 -2.1552256e-01 1.36e-02 3.04e+04 -1.0 8.17e-02 4.8 1.00e+00 1.00e+00H 1\n", - " 589 -2.1555035e-01 1.37e-02 3.04e+04 -1.0 1.33e+00 4.4 6.91e-02 7.81e-04h 9\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 590 -2.1602461e-01 1.37e-02 2.95e+04 -1.0 1.54e-01 4.8 7.86e-01 3.69e-02h 5\n", - " 591 -2.1603561e-01 1.37e-02 2.95e+04 -1.0 3.65e+00 4.3 5.64e-02 2.86e-04h 11\n", - " 592 -2.1635131e-01 1.37e-02 2.90e+04 -1.0 1.90e-01 4.7 1.00e+00 2.16e-02h 6\n", - " 593 -2.2239105e-01 1.81e-02 2.80e+04 -1.0 5.39e-02 5.2 4.25e-01 1.00e+00H 1\n", - " 594 -2.2245542e-01 1.80e-02 2.80e+04 -1.0 4.95e-01 4.7 4.24e-01 3.45e-03h 8\n", - " 595 -2.2292230e-01 1.64e-02 2.66e+04 -1.0 9.36e-02 5.1 1.00e+00 6.25e-02h 5\n", - " 596 -2.2295785e-01 1.64e-02 2.66e+04 -1.0 7.82e-01 4.6 2.74e-01 1.79e-03h 9\n", - " 597 -2.2348385e-01 1.47e-02 2.54e+04 -1.0 1.14e-01 5.1 1.00e+00 6.25e-02h 5\n", - " 598 -2.2349225e-01 1.47e-02 2.54e+04 -1.0 1.61e+00 4.6 1.45e-01 4.35e-04h 11\n", - " 599 -2.2378785e-01 1.41e-02 2.49e+04 -1.0 1.40e-01 5.0 1.00e+00 3.12e-02h 6\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 600 -2.2378814e-01 1.41e-02 2.49e+04 -1.0 8.42e+00 4.5 4.31e-02 2.58e-05h 15\n", - " 601 -2.2395297e-01 1.38e-02 2.46e+04 -1.0 1.71e-01 5.0 1.00e+00 1.56e-02h 7\n", - " 602 -2.2839014e-01 5.64e-03 3.14e+04 -1.0 4.74e-02 5.4 1.00e+00 1.00e+00H 1\n", - " 603 -2.2849667e-01 5.57e-03 3.13e+04 -1.0 3.46e-01 4.9 9.40e-01 8.34e-03h 7\n", - " 604 -2.3462031e-01 1.17e-02 1.20e+05 -1.0 7.73e-02 5.3 1.00e+00 1.00e+00H 1\n", - " 605 -2.3461781e-01 1.17e-02 1.20e+05 -1.0 5.70e+00 4.9 8.91e-02 5.39e-05h 14\n", - " 606 -2.3466927e-01 1.17e-02 1.19e+05 -1.0 1.49e-01 5.3 1.00e+00 7.81e-03h 8\n", - " 607 -2.3737408e-01 1.67e-03 3.57e+04 -1.0 4.09e-02 5.7 1.00e+00 1.00e+00H 1\n", - " 608 -2.3738789e-01 1.68e-03 3.56e+04 -1.0 1.81e-01 5.2 1.00e+00 1.95e-03h 10\n", - " 609 -2.3743427e-01 1.70e-03 3.51e+04 -1.0 4.83e-02 5.7 1.00e+00 1.56e-02h 7\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 610 -2.3744916e-01 1.71e-03 3.50e+04 -1.0 2.23e-01 5.2 1.00e+00 1.95e-03h 10\n", - " 611 -2.4030769e-01 4.17e-03 2.87e+04 -1.0 5.61e-02 5.6 1.00e+00 1.00e+00H 1\n", - " 612 -2.4049249e-01 1.92e-03 2.81e+04 -1.0 2.06e-01 5.1 1.00e+00 2.77e-02h 6\n", - " 613 -2.4049206e-01 2.12e-03 2.82e+04 -1.0 1.05e+00 4.6 7.23e-01 5.60e-03h 6\n", - " 614 -2.4050578e-01 2.12e-03 2.82e+04 -1.0 2.38e-01 5.1 1.00e+00 1.95e-03h 10\n", - " 615 -2.4050486e-01 2.12e-03 2.81e+04 -1.0 1.25e+00 4.6 3.71e-01 1.71e-04h 12\n", - " 616 -2.4051956e-01 2.12e-03 2.81e+04 -1.0 2.75e-01 5.0 1.00e+00 1.95e-03h 10\n", - " 617r-2.4051956e-01 2.12e-03 1.00e+03 -1.0 0.00e+00 4.5 0.00e+00 3.06e-07R 21\n", - " 618r-2.2094300e-01 1.58e-01 1.69e+03 -1.0 2.27e+00 - 5.01e-01 4.79e-02f 1\n", - " 619r-1.9268006e-01 1.27e+01 6.84e+02 -1.0 1.61e+00 - 6.07e-01 4.35e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 620r-1.9752433e-01 7.52e-01 5.63e+03 -1.0 2.74e-01 2.0 4.14e-01 9.89e-01f 1\n", - " 621r-2.0577867e-01 7.25e-01 5.43e+03 -1.0 6.91e-01 - 4.41e-02 3.61e-02f 1\n", - " 622r-2.4434780e-01 6.00e-01 1.89e+04 -1.0 8.21e-01 - 8.36e-03 1.68e-01f 1\n", - " 623r-2.5020090e-01 2.21e-01 7.62e+03 -1.0 7.36e-02 1.5 4.94e-01 5.74e-01f 1\n", - " 624r-3.2140711e-01 6.65e-01 2.74e+03 -1.0 5.11e-01 - 2.52e-01 6.86e-01f 1\n", - " 625r-3.2816164e-01 5.55e+00 6.14e+03 -1.0 3.80e-01 - 2.78e-01 1.00e+00f 1\n", - " 626r-3.2881482e-01 9.90e-01 1.19e+03 -1.0 1.18e-01 1.9 7.12e-01 1.00e+00f 1\n", - " 627r-3.4478619e-01 3.63e-01 4.75e+02 -1.0 1.53e-01 - 5.68e-01 5.39e-01f 1\n", - " 628r-3.7068069e-01 1.99e-01 6.30e+02 -1.0 1.73e-01 - 6.48e-01 1.00e+00f 1\n", - " 629r-3.7118921e-01 3.33e-02 4.68e+02 -1.0 5.06e-02 1.5 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 630r-3.7739216e-01 2.92e-02 3.66e+02 -1.0 1.31e-01 - 6.43e-01 1.00e+00f 1\n", - " 631r-3.7785151e-01 1.38e+00 3.89e+02 -1.0 1.66e-01 - 1.00e+00 1.00e+00f 1\n", - " 632r-3.7847928e-01 2.81e-01 1.41e+02 -1.0 1.78e-01 - 8.94e-01 1.00e+00h 1\n", - " 633r-3.8023198e-01 2.24e-02 3.36e+01 -1.0 1.18e-01 - 1.00e+00 1.00e+00h 1\n", - " 634r-3.8068769e-01 1.13e-03 9.53e-01 -1.0 1.19e-02 - 1.00e+00 1.00e+00h 1\n", - "Scaling factors are invalid - setting them all to 1.\n", - " 635 -3.7736280e-01 1.13e-03 1.21e+02 -1.0 1.45e+00 - 8.76e-01 1.89e-03h 8\n", - " 636 -3.7748465e-01 1.13e-03 1.92e+02 -1.0 2.89e+00 - 7.54e-01 7.46e-04h 10\n", - " 637 -3.5523179e-01 1.08e+01 4.45e+02 -1.0 8.41e+00 - 4.24e-01 2.41e-01f 1\n", - " 638 -3.5583981e-01 1.07e+01 3.60e+03 -1.0 2.35e+00 - 9.95e-01 8.81e-03h 1\n", - " 639 -3.5599844e-01 7.83e+00 3.53e+03 -1.0 6.24e-01 - 1.00e+00 2.57e-01h 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 640 -3.2583053e-01 6.73e+00 3.26e+03 -1.0 4.45e-01 - 1.00e+00 1.39e-01h 3\n", - " 641 -2.7759041e-01 5.60e+00 2.95e+03 -1.0 3.47e-01 - 1.00e+00 1.65e-01h 3\n", - " 642 -2.7331567e-01 5.54e+00 3.06e+03 -1.0 2.82e-01 - 1.00e+00 1.20e-02h 7\n", - " 643 -2.7078813e-01 5.50e+00 3.24e+03 -1.0 2.73e-01 - 1.00e+00 7.03e-03h 8\n", - " 644 1.1104049e-01 5.64e-01 8.59e+03 -1.0 2.71e-01 - 1.00e+00 9.79e-01h 1\n", - " 645 1.3587187e-01 4.65e-02 7.98e+03 -1.0 1.62e-02 4.1 4.74e-01 1.00e+00f 1\n", - " 646 1.3572362e-01 3.64e-02 6.09e+03 -1.0 1.90e-02 3.6 1.00e+00 2.25e-01h 1\n", - " 647 1.3578389e-01 2.65e-02 4.03e+03 -1.0 1.76e-02 3.1 1.00e+00 2.98e-01h 1\n", - " 648 1.3811185e-01 1.64e-02 5.37e+03 -1.0 2.27e-02 2.6 1.00e+00 5.60e-01h 1\n", - " 649 1.6164020e-01 1.92e-02 1.50e+04 -1.0 7.14e-02 2.2 1.00e+00 7.93e-01H 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 650 1.6748733e-01 4.63e-02 1.19e+04 -1.0 3.29e-02 2.6 1.00e+00 4.18e-01f 2\n", - " 651 2.0929918e-01 4.54e-02 1.48e+04 -1.0 8.01e-01 - 8.01e-02 2.48e-02h 1\n", - " 652 2.0975402e-01 4.54e-02 1.72e+07 -1.0 7.63e-01 - 2.10e-01 2.75e-04h 1\n" + "{'fitted_transport_coefficient': [0.0, 2.8844226902382066e-06, 1.972284594093816e-06, 1.4692339188211034e-06, 1.0243074836814022e-06, 7.335210246830007e-07, 5.028803186060459e-07, 4.138864732879208e-07, 4.4305060999107415e-07, 6.531428358011113e-07, 1.1495715644206287e-06, 1.9919071219216204e-06, 3.5430255115774864e-06, 5.892196791356584e-06, 1.0006555005953019e-05, 1.6024689017808975e-05, 2.629651723535271e-05, 4.118111107612758e-05, 6.54329862743312e-05, 0.00010108156442178079, 0.00015423096038908913, 0.00023552733189825386, 0.00034150935769847776, 0.0005128127121254693, 0.0007003097538498707, 0.0010270300377922183, 0.0013180717552757966, 0.0018740817123721874, 0.0022836732649691763, 0.0030831050244101025, 0.0036818204378713153, 0.004563020023369189, 0.005615918778122575, 0.0061887937398191675, 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jac_init[i,j,t] = doe_object.jac[iname][]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "7ab5edbd", + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - " 653 2.0977979e-01 4.54e-02 7.25e+09 -1.0 1.23e+01 - 1.32e-02 3.10e-05h 1\n", - " 654r 2.0977979e-01 4.54e-02 1.00e+03 -1.0 0.00e+00 - 0.00e+00 3.19e-07R 5\n", - " 655r 2.0427060e-01 1.45e-03 1.30e+03 -1.0 2.06e+01 - 1.68e-01 2.19e-03f 1\n", - " 656 2.0479873e-01 1.45e-03 4.45e+05 -1.0 7.60e-01 - 9.66e-01 3.21e-04h 1\n", - " 657 -4.5477006e-01 7.12e-02 2.17e+05 -1.0 3.03e-01 - 5.11e-01 1.00e+00f 1\n", - " 658 -4.5038619e-01 7.10e-02 3.54e+07 -1.0 1.33e+00 - 3.90e-01 2.38e-03h 1\n", - " 659r-4.5038619e-01 7.10e-02 1.00e+03 -1.0 0.00e+00 - 0.00e+00 4.52e-07R 8\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 660r-4.3109749e-01 1.63e-02 1.58e+03 -1.0 5.04e+01 - 3.33e-01 1.40e-03f 1\n", - " 661 -4.2839363e-01 1.63e-02 6.95e+05 -1.0 1.31e+00 - 9.86e-01 1.49e-03h 1\n", - " 662 -6.4212818e-01 1.51e-02 3.37e+05 -1.0 1.94e-01 - 5.15e-01 1.00e+00f 1\n", - " 663 -5.2241660e-01 1.70e-02 2.26e+06 -1.0 1.67e+00 - 9.17e-03 6.25e-02f 5\n", - " 664 3.0479963e+00 1.56e-02 2.09e+06 -1.0 1.48e+00 - 5.35e-02 1.00e+00H 1\n", - " 665 2.6137549e+00 3.38e-03 9.96e+02 -1.0 5.78e-02 - 1.00e+00 1.00e+00f 1\n", - " 666 2.6542662e+00 6.40e-05 1.32e-02 -1.0 8.00e-03 - 1.00e+00 1.00e+00h 1\n", - " 667 2.6546691e+00 2.24e-08 4.02e-02 -2.5 1.49e-04 - 1.00e+00 1.00e+00h 1\n", - " 668 2.6541213e+00 2.24e-08 1.29e-03 -2.5 3.64e-03 - 1.00e+00 1.00e+00H 1\n", - " 669 2.6537157e+00 2.25e-06 2.02e-02 -3.8 2.66e-03 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 670 2.6528337e+00 1.06e-05 3.38e-03 -3.8 5.51e-03 - 1.00e+00 1.00e+00h 1\n", - " 671 2.6528325e+00 1.86e-08 1.28e-07 -3.8 1.50e-05 - 1.00e+00 1.00e+00h 1\n", - " 672 2.6526045e+00 7.13e-07 6.20e-04 -5.7 1.40e-03 - 1.00e+00 1.00e+00h 1\n", - " 673 2.6525727e+00 2.24e-08 4.61e-06 -5.7 1.84e-04 - 1.00e+00 1.00e+00h 1\n", - " 674 2.6525690e+00 1.86e-08 1.24e-07 -8.6 2.22e-05 - 1.00e+00 1.00e+00h 1\n", - " 675 2.6525690e+00 1.86e-08 1.36e-12 -8.6 3.64e-08 - 1.00e+00 1.00e+00h 1\n", - " 676 2.6525690e+00 1.49e-08 2.05e-12 -9.0 1.93e-08 - 1.00e+00 1.00e+00h 1\n", - " 677 2.6525690e+00 1.86e-08 1.14e-12 -9.0 2.53e-10 - 1.00e+00 1.00e+00h 1\n", - " 678 2.6525690e+00 1.49e-08 3.17e-12 -9.0 5.43e-11 - 1.00e+00 1.00e+00h 1\n", - " 679 2.6525690e+00 1.49e-08 1.08e-12 -9.0 2.07e-11 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 680 2.6525690e+00 1.49e-08 1.96e-09 -9.0 1.53e-11 2.1 1.00e+00 1.00e+00h 1\n", - " 681 2.6525690e+00 1.49e-08 1.86e-12 -9.0 1.53e-11 - 1.00e+00 1.00e+00h 1\n", - " 682 2.6525690e+00 7.45e-09 2.45e-09 -9.0 1.53e-11 1.6 1.00e+00 5.00e-01h 2\n", - "\n", - "Number of Iterations....: 682\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 2.6525689845931080e+00 2.6525689845931080e+00\n", - "Dual infeasibility......: 2.4529427378183755e-09 2.4529427378183755e-09\n", - "Constraint violation....: 4.5078562067452205e-09 7.4505805969238281e-09\n", - "Complementarity.........: 9.0909090909385728e-10 9.0909090909385728e-10\n", - "Overall NLP error.......: 4.5078562067452205e-09 7.4505805969238281e-09\n", - "\n", - "\n", - "Number of objective function evaluations = 2034\n", - "Number of objective gradient evaluations = 605\n", - "Number of equality constraint evaluations = 2034\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 734\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 682\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 12121.294\n", - "Total CPU secs in NLP function evaluations = 202.919\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "JAC is: [[[ 0.00000000e+00 2.18519520e-08 9.90354463e-08 8.35982622e-07\n", - " 7.62779484e-06 3.23699626e-05 1.52094341e-04 4.37315255e-04\n", - " 4.37492280e-04 3.68574554e-04 2.82909118e-04 2.00126496e-04\n", - " 1.27420079e-04 6.67670397e-05 1.79143660e-05 -2.03021382e-05\n", - " -4.93497253e-05 -7.07147917e-05 -8.57746783e-05 -9.57467059e-05\n", - " -1.01675883e-04 -1.04441568e-04 -1.04772756e-04 -1.03266514e-04\n", - " -1.00406730e-04 -9.65817223e-05 -9.21000819e-05 -8.72045354e-05\n", - " -8.20838428e-05 -7.68828746e-05 -7.17110545e-05 -6.66493745e-05\n", - " -6.17561829e-05 -5.70719289e-05 -5.26230323e-05 -4.84250213e-05\n", - " -4.44850647e-05 -4.08040042e-05 -3.73779769e-05 -3.41997028e-05\n", - " -3.12595004e-05 -2.85460807e-05 -2.60471644e-05 -2.37499551e-05\n", - " -2.16414988e-05 -1.97089516e-05 -1.79397761e-05 -1.63218803e-05\n", - " -1.48437124e-05 -1.34943213e-05 -1.22633902e-05 -1.11412504e-05\n", - " -1.01188798e-05 -9.18789081e-06 -8.34050953e-06 -7.56955022e-06\n", - " -6.86838588e-06 -6.23091673e-06 -5.65153781e-06 -5.12510640e-06\n", - " -4.64690993e-06 -4.21263481e-06 -3.81833650e-06 -3.46041102e-06\n", - " -3.13556803e-06 -2.84080549e-06 -2.57338606e-06 -2.33081499e-06\n", - " -2.11081975e-06]\n", - " [ 0.00000000e+00 -1.49172675e-09 -6.76179604e-09 -6.31716909e-08\n", - " -6.52911038e-07 -2.89262342e-06 -1.45999745e-05 -4.47237693e-05\n", - " -4.74326345e-05 -4.09060499e-05 -3.15433988e-05 -2.20660110e-05\n", - " -1.35645592e-05 -6.40328094e-06 -6.20865047e-07 3.88639386e-06\n", - " 7.27771871e-06 9.72574598e-06 1.13963105e-05 1.24393505e-05\n", - " 1.29855838e-05 1.31461795e-05 1.30139301e-05 1.26651103e-05\n", - " 1.21615687e-05 1.15528106e-05 1.08779429e-05 1.01674238e-05\n", - " 9.44459664e-06 8.72701063e-06 8.02754094e-06 7.35532922e-06\n", - " 6.71656478e-06 6.11512832e-06 5.55311792e-06 5.03127582e-06\n", - " 4.54933186e-06 4.10627791e-06 3.70058514e-06 3.33037457e-06\n", - " 2.99354962e-06 2.68789768e-06 2.41116703e-06 2.16112384e-06\n", - " 1.93559352e-06 1.73248959e-06 1.54983303e-06 1.38576397e-06\n", - " 1.23854794e-06 1.10657758e-06 9.88371315e-07 8.82569804e-07\n", - " 7.87930696e-07 7.03322434e-07 6.27717399e-07 5.60184761e-07\n", - " 4.99883262e-07 4.46054066e-07 3.98013921e-07 3.55148488e-07\n", - " 3.16906225e-07 2.82792454e-07 2.52364026e-07 2.25224267e-07\n", - " 2.01018415e-07 1.79429392e-07 1.60173963e-07 1.42999290e-07\n", - " 1.27679712e-07]]\n", - "\n", - " [[ 0.00000000e+00 5.12319101e-08 5.64473563e-07 4.58303249e-06\n", - " 3.29141630e-05 9.45793007e-05 3.57836092e-04 2.05217544e-05\n", - " -7.88677732e-05 -1.07114969e-04 -1.06613139e-04 -9.49336798e-05\n", - " -7.96921387e-05 -6.42653603e-05 -5.01087218e-05 -3.77681764e-05\n", - " -2.73520079e-05 -1.87620187e-05 -1.18105879e-05 -6.28073479e-06\n", - " -1.95659203e-06 1.36188972e-06 3.85273238e-06 5.67028640e-06\n", - " 6.94596947e-06 7.79016103e-06 8.29457544e-06 8.53472948e-06\n", - " 8.57230287e-06 8.45729789e-06 8.22995181e-06 7.92240109e-06\n", - " 7.56010677e-06 7.16306120e-06 6.74680388e-06 6.32326561e-06\n", - " 5.90147132e-06 5.48811822e-06 5.08804973e-06 4.70464324e-06\n", - " 4.34012704e-06 3.99583443e-06 3.67240993e-06 3.36997678e-06\n", - " 3.08826612e-06 2.82672541e-06 2.58459928e-06 2.36099572e-06\n", - " 2.15493635e-06 1.96539581e-06 1.79133214e-06 1.63170821e-06\n", - " 1.48550858e-06 1.35175184e-06 1.22949807e-06 1.11785483e-06\n", - " 1.01597922e-06 9.23080191e-07 8.38419069e-07 7.61307914e-07\n", - " 6.91107809e-07 6.27227680e-07 5.69122482e-07 5.16289964e-07\n", - " 4.68267107e-07 4.24629769e-07 3.84989131e-07 3.48988231e-07\n", - " 3.16301053e-07]\n", - " [ 0.00000000e+00 -1.67218889e-06 -8.21985696e-06 -8.90509646e-05\n", - " -5.86354039e-04 -3.15680667e-03 -1.10041783e-02 -2.85478602e-02\n", - " -3.05170274e-02 -2.96932506e-02 -2.77004230e-02 -2.52677910e-02\n", - " -2.27450573e-02 -2.03030210e-02 -1.80226170e-02 -1.59376678e-02\n", - " -1.40567578e-02 -1.23749851e-02 -1.08804981e-02 -9.55821113e-03\n", - " -8.39193182e-03 -7.36557043e-03 -6.46380497e-03 -5.67242141e-03\n", - " -4.97845900e-03 -4.37023956e-03 -3.83732956e-03 -3.37046514e-03\n", - " -2.96145879e-03 -2.60309928e-03 -2.28905175e-03 -2.01376211e-03\n", - " -1.77236791e-03 -1.56061681e-03 -1.37479280e-03 -1.21165030e-03\n", - " -1.06835542e-03 -9.42434148e-04 -8.31726689e-04 -7.34347318e-04\n", - " -6.48649340e-04 -5.73194365e-04 -5.06725569e-04 -4.48144350e-04\n", - " -3.96489982e-04 -3.50921941e-04 -3.10704503e-04 -2.75193338e-04\n", - " -2.43823873e-04 -2.16101147e-04 -1.91590981e-04 -1.69912314e-04\n", - " -1.50730520e-04 -1.33751573e-04 -1.18716983e-04 -1.05399398e-04\n", - " -9.35987111e-05 -8.31387167e-05 -7.38641899e-05 -6.56382943e-05\n", - " -5.83403487e-05 -5.18638869e-05 -4.61149095e-05 -4.10104082e-05\n", - " -3.64770377e-05 -3.24499552e-05 -2.88718399e-05 -2.56919549e-05\n", - " -2.28654247e-05]]]\n", - "FIM: [[0.04612259 0.03628661]\n", - " [0.03628661 1.55643184]]\n", - "Trace: 1.6025544274955135\n", - "Determinant: 0.07046994412084259\n", - "Condition number: 34.41457429482373\n", - "Minimal eigen value: 0.04525126898757459\n", - "Eigen values: [0.04525127 1.55730316]\n", - "Eigen vectors: [[-0.99971183 -0.02400517]\n", - " [ 0.02400517 -0.99971183]]\n", - "Model objective: -2.652568984593108\n", - "Objective(determinant) is: 0.07046994412084256\n", - "Solution of temp_feed : [273.15]\n", - "Solution of yfeed : [0.5]\n", - "======problem solver output======\n", - "converged\n", - "Total solve time with simultaneous_finite mode (Wall clock) [s]: 22746.567376852036\n", - "Total wall clock time [s]: 22755.585412740707\n" + "[[0.0636188 0. ]\n", + " [0.38310515 1.14638156]]\n" ] } ], + "source": [ + "fim_init = result.FIM\n", + "\n", + "#jac_init = jac_init_1.copy()\n", + " \n", + "l_init = np.linalg.cholesky(fim_init)\n", + "print(l_init)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44d47c9a", + "metadata": { + "scrolled": true + }, + "outputs": [], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", " measurement, t_measure, model_integrate,\n", @@ -1742,102 +1670,10 @@ }, { "cell_type": "code", - "execution_count": 26, - "id": "b95d1af2", + "execution_count": null, + "id": "7d0b1974", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "-1.2203098649458607e-51\n", - "[[[-1.22030986e-51 1.36039977e-08 9.30013128e-09 6.92615755e-09\n", - " 4.82550554e-09 3.45281161e-09 2.36193238e-09 1.94081881e-09\n", - " 2.07622136e-09 3.07009918e-09 5.40779861e-09 9.37480479e-09\n", - " 1.66942383e-08 2.77556077e-08 4.71572907e-08 7.55335897e-08\n", - " 1.23975736e-07 1.94168463e-07 3.08533186e-07 4.76674786e-07\n", - " 7.27285370e-07 1.11080265e-06 1.61052899e-06 2.41876277e-06\n", - " 3.30287903e-06 4.84456231e-06 6.21686601e-06 8.84097764e-06\n", - " 1.07718918e-05 1.45441689e-05 1.73674147e-05 2.15211590e-05\n", - " 2.64912603e-05 2.91853734e-05 3.89168809e-05 3.68603619e-05\n", - " 5.52680495e-05 4.38549036e-05 7.61454347e-05 7.18529199e-05\n", - " 5.79409486e-05 4.41709623e-05 3.13020448e-05 1.97151710e-05\n", - " 9.57817181e-06 9.23101839e-07 -6.30206872e-06 -1.21986184e-05\n", - " -1.68937014e-05 -2.05248744e-05 -2.32300912e-05 -2.51414722e-05\n", - " -2.63816666e-05 -2.70619723e-05 -2.72816307e-05 -2.71278828e-05\n", - " -2.66765041e-05 -2.59926162e-05 -2.51316429e-05 -2.41403184e-05\n", - " -2.30576885e-05 -2.19160675e-05 -2.07419296e-05 -1.95567220e-05\n", - " -1.83775967e-05 -1.72180612e-05 -1.60885511e-05 -1.49969300e-05\n", - " -1.39489234e-05]\n", - " [ 8.48727942e-53 -2.17033841e-10 -1.00408362e-12 -7.53211617e-12\n", - " -2.19853410e-13 -1.25373453e-11 -1.42132010e-11 -3.43869405e-11\n", - " -6.05488931e-11 -1.09001498e-10 -2.00107006e-10 -3.35042595e-10\n", - " -6.03069673e-10 -9.80035741e-10 -1.73198055e-09 -2.76136503e-09\n", - " -4.79035751e-09 -7.54955360e-09 -1.26706332e-08 -1.99429363e-08\n", - " -3.17228363e-08 -5.03067616e-08 -7.48500514e-08 -1.19393733e-07\n", - " -1.65107031e-07 -2.62176673e-07 -3.38038665e-07 -5.23844079e-07\n", - " -6.42703677e-07 -9.32797713e-07 -1.14247273e-06 -1.47953386e-06\n", - " -1.92571665e-06 -2.15876480e-06 -3.12043552e-06 -2.97926414e-06\n", - " -4.84765649e-06 -3.98618100e-06 -7.23428972e-06 -7.48023266e-06\n", - " -6.59345991e-06 -5.53086079e-06 -4.41221842e-06 -3.31614654e-06\n", - " -2.29276199e-06 -1.37110628e-06 -5.65167964e-07 1.21445041e-07\n", - " 6.91989551e-07 1.15400526e-06 1.51746126e-06 1.79345683e-06\n", - " 1.99333671e-06 2.12811074e-06 2.20809414e-06 2.24270444e-06\n", - " 2.24036783e-06 2.20849970e-06 2.15353387e-06 2.08098198e-06\n", - " 1.99551009e-06 1.90102317e-06 1.80075155e-06 1.69733493e-06\n", - " 1.59290173e-06 1.48914203e-06 1.38737358e-06 1.28860069e-06\n", - " 1.19356602e-06]]\n", - "\n", - " [[-1.22030986e-51 -2.33900037e-10 1.78192810e-10 3.17519054e-10\n", - " 6.23281280e-10 1.23004874e-09 2.31397883e-09 4.22113734e-09\n", - " 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4.65988127e-06 4.45606698e-06\n", - " 4.23935754e-06]\n", - " [ 8.48727942e-53 -1.03026065e-06 1.55221034e-09 4.10821102e-09\n", - " -5.74552182e-09 -2.35988888e-08 -5.67741425e-08 -1.14653946e-07\n", - " -2.19520825e-07 -3.95061791e-07 -7.04831558e-07 -1.20894948e-06\n", - " -2.07673500e-06 -3.46960763e-06 -5.79891282e-06 -9.53351128e-06\n", - " -1.55393876e-05 -2.52404316e-05 -4.00377497e-05 -6.40692523e-05\n", - " -9.84421482e-05 -1.53544091e-04 -2.27379162e-04 -3.40992305e-04\n", - " -4.86353774e-04 -6.95024659e-04 -9.60280473e-04 -1.30529294e-03\n", - " -1.76404114e-03 -2.28974636e-03 -3.04773777e-03 -3.81143071e-03\n", - " -4.99477468e-03 -6.09138509e-03 -7.80740251e-03 -9.42428932e-03\n", - " -1.18688071e-02 -1.59242788e-02 -1.87378264e-02 -1.79787503e-02\n", - " -1.68899427e-02 -1.57049087e-02 -1.44888155e-02 -1.32850476e-02\n", - " -1.21218077e-02 -1.10167178e-02 -9.97999283e-03 -9.01667435e-03\n", - " -8.12822534e-03 -7.31367444e-03 -6.57043943e-03 -5.89491907e-03\n", - " -5.28291637e-03 -4.72993907e-03 -4.23141005e-03 -3.78281202e-03\n", - " -3.37978419e-03 -3.01818396e-03 -2.69412337e-03 -2.40398753e-03\n", - " -2.14444016e-03 -1.91242043e-03 -1.70513374e-03 -1.52003867e-03\n", - " -1.35483169e-03 -1.20743061e-03 -1.07595770e-03 -9.58722906e-04\n", - " -8.54207593e-04]]]\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "jac_init_1 = doe_object.analysis_square.jac_extracted.copy()\n", "print(type(jac_init_1))\n", diff --git a/pyomo/contrib/doe/reactor_control_doe.ipynb b/pyomo/contrib/doe/reactor_control_doe.ipynb index a6b2d15d758..a1e8b4c3bf1 100644 --- a/pyomo/contrib/doe/reactor_control_doe.ipynb +++ b/pyomo/contrib/doe/reactor_control_doe.ipynb @@ -17,7 +17,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "worth-origin", "metadata": {}, "outputs": [], @@ -107,13 +107,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "eligible-robert", "metadata": {}, "outputs": [], "source": [ - "from reactor_models import *\n", - "#from reactor_model_multipleversions import *" + "#from reactor_models import *\n", + "from reactor_model_multipleversions import *" ] }, { @@ -132,32 +132,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "d576e9c4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1], [0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1], [0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]]\n" + ] + } + ], "source": [ "# choose model from 'dynamic-DAE', 'constant-DAE', 'constant-analytical'\n", "#model_opt = 'dynamic-DAE'\n", "model_opt = 'constant-DAE'\n", "#model_opt = 'constant-analytical'\n", "\n", - "createmod = create_model_overall\n", + "#createmod = create_model_overall\n", "\n", "if (model_opt=='dynamic-DAE'):\n", - " #createmod = create_model_dae\n", + " createmod = create_model_dae\n", " args_ = [True, False, False]\n", " disc = discretizer\n", " t_control = [0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", " \n", "elif (model_opt=='constant-DAE'):\n", - " #createmod = create_model_dae_const\n", + " createmod = create_model_dae_const\n", " args_ = [True, True, False]\n", " disc = discretizer\n", " t_control = [0]\n", " \n", "elif (model_opt=='constant-analytical'):\n", - " #createmod = create_model_alge\n", + " createmod = create_model_alge\n", " args_ = [False, True, False]\n", " disc = None\n", " t_control = [0]\n", @@ -166,13 +174,17 @@ "# design variable and its control time set\n", "dv_pass = {'CA0': [0],'T': t_control}\n", " \n", + "\n", "# Define measurement time points\n", - "t_measure = [0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]" + "t_measure = [0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1]\n", + "measure_pass = {'CA': t_measure, 'CB': t_measure, 'CC': t_measure}\n", + "\n", + "print(list(measure_pass.values()))" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "47137cb2", "metadata": {}, "outputs": [], @@ -198,10 +210,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "written-tours", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The prior information FIM: [[ 22.52943024 1.84034314 -70.23273336 -11.09432962]\n", + " [ 1.84034314 18.09848116 -5.73565034 -109.15866135]\n", + " [ -70.23273336 -5.73565034 218.94192843 34.57680848]\n", + " [ -11.09432962 -109.15866135 34.57680848 658.37644634]]\n", + "Prior Det: 1.8919381636034424e-08\n", + "Eigenvalue of the prior experiments FIM: [2.38378604e+02 6.79567681e+02 2.12450662e-07 5.49729273e-07]\n", + "Eigenvalue of the prior experiments FIM: [[-0.87143147 0.38380582 0.30437815 -0.02557787]\n", + " [ 0.39764512 0.90284244 -0.01368273 -0.16299286]\n", + " [-0.2795342 0.12312967 -0.94886453 0.07972337]\n", + " [ 0.0659256 0.14969203 0.0826004 0.9830683 ]]\n" + ] + } + ], "source": [ "# empty prior\n", "prior_all = np.zeros((4,4))\n", @@ -237,10 +266,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "d3ee5ff9", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Design variable: {'CA0': {0: 5}, 'T': {0: 300}}\n" + ] + } + ], "source": [ "# choose from 'simultaneous', 'sequential', 'sipopt'\n", "#sensi_opt = 'simultaneous_finite'\n", @@ -324,16 +361,522 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "latin-medicare", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This scenario: {'A1': {0: 85.63876712033013}, 'A2': {0: 371.71773413976416}, 'E1': {0: 7.777032028026428}, 'E2': {0: 15.047135137500822}, 'jac-index': {'A1': [0], 'A2': [0], 'E1': [0], 'E2': [0]}, 'eps-abs': {'A1': 0.8563876712033013, 'A2': 3.7171773413976417, 'E1': 0.07777032028026427, 'E2': 0.15047135137500822}, 'scena-name': [0]}\n", + "CA0[0] is fixed at 5\n", + "T[0] is fixed at 300\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 -0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.89e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 -0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.89e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 -0.0000000e+00 3.15e-09 5.62e-05 -1.0 1.88e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1532039201920270e-09 3.1532039201920270e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1532039201920270e-09 3.1532039201920270e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [5.0, 3.113463673345861, 1.9387312090404443, 1.2072338383326804, 0.7517357401606772, 0.4681003837718633, 0.2914827080524379, 0.1815041645673629, 0.11302132456948359, 0.0, 1.77735421187141, 2.6965896680827477, 3.101263043711161, 3.2032175671647556, 3.132499639951553, 2.9684183243181006, 2.7588650823452796, 2.5323254510105655, 0.0, 0.10918211478272909, 0.3646791228768087, 0.6915031179561592, 1.0450466926745667, 1.3993999762765843, 1.7400989676294611, 2.059630753087357, 2.354653224419951]\n", + "This scenario: {'A1': {0: 84.79085853498033}, 'A2': {0: 375.4349114811618}, 'E1': {0: 7.777032028026428}, 'E2': {0: 15.047135137500822}, 'jac-index': {'A1': [0], 'A2': [0], 'E1': [0], 'E2': [0]}, 'eps-abs': {'A1': 0.8479085853498033, 'A2': 3.754349114811618, 'E1': 0.07777032028026427, 'E2': 0.15047135137500822}, 'scena-name': [0]}\n", + "CA0[0] is fixed at 5\n", + "T[0] is fixed at 300\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 -0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 -0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 -0.0000000e+00 3.13e-09 5.64e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1279832057862222e-09 3.1279832057862222e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1279832057862222e-09 3.1279832057862222e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [5.0, 3.1281004876493634, 1.9570025321581448, 1.2243401150219697, 0.7659717821540972, 0.479207341039208, 0.2998017434199953, 0.1875619959396186, 0.11734255417398645, 0.0, 1.762599479920965, 2.677606836434361, 3.082333976431961, 3.1856810992392273, 3.116438180050024, 2.953479203772042, 2.744630710963679, 2.518457063303755, 0.0, 0.10930003242967166, 0.3653906314074939, 0.6933259085460688, 1.0483471186066762, 1.4043544789107685, 1.7467190528079628, 2.067807293096702, 2.364200382522258]\n", + "This scenario: {'A1': {0: 84.79085853498033}, 'A2': {0: 371.71773413976416}, 'E1': {0: 7.854802348306692}, 'E2': {0: 15.047135137500822}, 'jac-index': {'A1': [0], 'A2': [0], 'E1': [0], 'E2': [0]}, 'eps-abs': {'A1': 0.8479085853498033, 'A2': 3.7171773413976417, 'E1': 0.07854802348306693, 'E2': 0.15047135137500822}, 'scena-name': [0]}\n", + "CA0[0] is fixed at 5\n", + "T[0] is fixed at 300\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 -0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.82e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 -0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.82e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 -0.0000000e+00 3.15e-09 5.96e-05 -1.0 1.80e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1502160879881558e-09 3.1502160879881558e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1502160879881558e-09 3.1502160879881558e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Output this time: [5.0, 3.1734633470086226, 2.0141739229531654, 1.2783814237854436, 0.8113793183601851, 0.5149765054500581, 0.3268518129050906, 0.2074504496128777, 0.1316672796144891, 0.0, 1.7211296370482454, 2.631939570575795, 3.0476019740287583, 3.166133318790874, 3.1114054252429475, 2.9604217675603364, 2.7606094235116023, 2.540776150077353, 0.0, 0.10540701594313232, 0.35388650647103925, 0.6740166021857984, 1.0224873628489413, 1.3736180693069941, 1.7127264195345726, 2.0319401268755195, 2.327556570308158]\n", + "This scenario: {'A1': {0: 84.79085853498033}, 'A2': {0: 371.71773413976416}, 'E1': {0: 7.777032028026428}, 'E2': {0: 15.19760648887583}, 'jac-index': {'A1': [0], 'A2': [0], 'E1': [0], 'E2': [0]}, 'eps-abs': {'A1': 0.8479085853498033, 'A2': 3.7171773413976417, 'E1': 0.07777032028026427, 'E2': 0.1519760648887583}, 'scena-name': [0]}\n", + "CA0[0] is fixed at 5\n", + "T[0] is fixed at 300\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 -0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 -0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 -0.0000000e+00 3.12e-09 6.05e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1180000803487928e-09 3.1180000803487928e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1180000803487928e-09 3.1180000803487928e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [5.0, 3.1281004876493648, 1.9570025321581457, 1.2243401150219702, 0.7659717821540981, 0.479207341039209, 0.29980174341999594, 0.18756199593961914, 0.11734255417398684, 0.0, 1.7697520420235775, 2.700602416827648, 3.1241901689118894, 3.246244523747556, 3.1938974497708688, 3.0452659648217093, 2.8479437704749135, 2.6305558985175654, 0.0, 0.10214747032705765, 0.34239505101420686, 0.6514697160661401, 0.9877836940983457, 1.3268952091899222, 1.6549322917582947, 1.9644942335854678, 2.252101547308447]\n", + "This scenario: {'A1': {0: 83.94294994963053}, 'A2': {0: 371.71773413976416}, 'E1': {0: 7.777032028026428}, 'E2': {0: 15.047135137500822}, 'jac-index': {'A1': [0], 'A2': [0], 'E1': [0], 'E2': [0]}, 'eps-abs': {'A1': 0.8394294994963053, 'A2': 3.7171773413976417, 'E1': 0.07777032028026427, 'E2': 0.15047135137500822}, 'scena-name': [0]}\n", + "CA0[0] is fixed at 5\n", + "T[0] is fixed at 300\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 -0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.86e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 -0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.86e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 -0.0000000e+00 3.10e-09 5.78e-05 -1.0 1.84e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.0982612031493773e-09 3.0982612031493773e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.0982612031493773e-09 3.0982612031493773e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [5.0, 3.1428061116120363, 1.9754460510290257, 1.241688784453929, 0.7804774200848824, 0.4905778411465996, 0.30835820745757836, 0.19382201177441927, 0.1218290006154185, 0.0, 1.7498611420599135, 2.6651464088933023, 3.075325875299522, 3.185436920205373, 3.122520128668909, 2.9647842296878495, 2.7599175883664007, 2.536579801205708, 0.0, 0.10733274632805072, 0.3594075400776722, 0.6829853402465493, 1.0340856597097443, 1.3869020301844912, 1.726857562854572, 2.04626039985918, 2.341591198178873]\n", + "This scenario: {'A1': {0: 84.79085853498033}, 'A2': {0: 368.0005567983665}, 'E1': {0: 7.777032028026428}, 'E2': {0: 15.047135137500822}, 'jac-index': {'A1': [0], 'A2': [0], 'E1': [0], 'E2': [0]}, 'eps-abs': {'A1': 0.8479085853498033, 'A2': 3.6800055679836654, 'E1': 0.07777032028026427, 'E2': 0.15047135137500822}, 'scena-name': [0]}\n", + "CA0[0] is fixed at 5\n", + "T[0] is fixed at 300\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 -0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 -0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 -0.0000000e+00 3.12e-09 5.75e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1234961284098972e-09 3.1234961284098972e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1234961284098972e-09 3.1234961284098972e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [5.0, 3.1281004876493625, 1.9570025321581435, 1.2243401150219697, 0.7659717821540984, 0.4792073410392089, 0.2998017434199959, 0.18756199593961903, 0.11734255417398677, 0.0, 1.764682677233237, 2.6842912286690774, 3.0944758381110224, 3.203212110031267, 3.1388103217756615, 2.979928983631103, 2.7743322305270155, 2.5506071867135502, 0.0, 0.10721683511740018, 0.35870623917277883, 0.6811840468670078, 1.0308161078146345, 1.3819823371851294, 1.7202692729489013, 2.0381057735333648, 2.3320502591124628]\n", + "This scenario: {'A1': {0: 84.79085853498033}, 'A2': {0: 371.71773413976416}, 'E1': {0: 7.699261707746163}, 'E2': {0: 15.047135137500822}, 'jac-index': {'A1': [0], 'A2': [0], 'E1': [0], 'E2': [0]}, 'eps-abs': {'A1': 0.8479085853498033, 'A2': 3.7171773413976417, 'E1': 0.07699261707746163, 'E2': 0.15047135137500822}, 'scena-name': [0]}\n", + "CA0[0] is fixed at 5\n", + "T[0] is fixed at 300\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 -0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.94e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 -0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.94e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 -0.0000000e+00 3.10e-09 5.45e-05 -1.0 1.92e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.0986946342181909e-09 3.0986946342181909e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.0986946342181909e-09 3.0986946342181909e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.004\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [5.0, 3.081980454607319, 1.8997207045080005, 1.1709804160883266, 0.7217877510068632, 0.4449071481786268, 0.2742390269425493, 0.16903986416730923, 0.10419551146422733, 0.0, 1.8068462608461842, 2.7299577360976945, 3.1284490293263563, 3.221555330900131, 3.1425145405743105, 2.9717563829551854, 2.7573389255562084, 2.527526674127892, 0.0, 0.11117328454649668, 0.3703215593943051, 0.7005705545853165, 1.0566569180930059, 1.4125783112470625, 1.754004590102265, 2.0736212102764817, 2.36827781440788]\n", + "This scenario: {'A1': {0: 84.79085853498033}, 'A2': {0: 371.71773413976416}, 'E1': {0: 7.777032028026428}, 'E2': {0: 14.896663786125814}, 'jac-index': {'A1': [0], 'A2': [0], 'E1': [0], 'E2': [0]}, 'eps-abs': {'A1': 0.8479085853498033, 'A2': 3.7171773413976417, 'E1': 0.07777032028026427, 'E2': 0.14896663786125813}, 'scena-name': [0]}\n", + "CA0[0] is fixed at 5\n", + "T[0] is fixed at 300\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2979\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 289\n", + "\n", + "Total number of variables............................: 869\n", + " variables with only lower bounds: 289\n", + " variables with lower and upper bounds: 96\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 869\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -0.0000000e+00 3.97e+01 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (26225)\n", + " 1 -0.0000000e+00 3.97e-01 1.52e+01 -1.0 1.88e+01 - 6.06e-02 9.90e-01h 1\n", + " 2 -0.0000000e+00 3.93e-03 1.50e-01 -1.0 1.88e-01 - 9.90e-01 9.90e-01h 1\n", + " 3 -0.0000000e+00 3.13e-09 5.37e-05 -1.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 3\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -0.0000000000000000e+00 -0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.1336782058133394e-09 3.1336782058133394e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.1336782058133394e-09 3.1336782058133394e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 4\n", + "Number of objective gradient evaluations = 4\n", + "Number of equality constraint evaluations = 4\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 4\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 3\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.005\n", + "Total CPU secs in NLP function evaluations = 0.000\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Output this time: [5.0, 3.128100487649363, 1.9570025321581443, 1.2243401150219697, 0.7659717821540983, 0.4792073410392089, 0.29980174341999594, 0.18756199593961909, 0.11734255417398676, 0.0, 1.7571792024523536, 2.6602651476651977, 3.050929222749094, 3.1404803448992302, 3.058943393185668, 2.8857331350589592, 2.6688173336759835, 2.4366814838807027, 0.0, 0.11472030989828405, 0.3827323201766574, 0.7247306622289365, 1.0935478729466714, 1.4618492657751225, 1.8144651215210448, 2.143620670384397, 2.4459759619453103]\n", + "Build time with sequential_finite mode [s]: 0.02933645248413086\n", + "Solve time with sequential_finite mode [s]: 0.639498233795166\n", + "Existed information has been added.\n", + "FIM: [[ 45.05885982 3.68068638 -140.46546469 -22.18865982]\n", + " [ 3.68068638 36.19696233 -11.47130098 -218.31732286]\n", + " [-140.46546469 -11.47130098 437.88385054 69.1536188 ]\n", + " [ -22.18865982 -218.31732286 69.1536188 1316.75289389]]\n", + "Trace: 1835.892566580702\n", + "Determinant: 3.027100800173615e-07\n", + "Condition number: 3198708562.998868\n", + "Minimal eigen value: 4.2490128051547623e-07\n", + "Eigen values: [4.76757201e+02 1.35913536e+03 4.24901281e-07 1.09945854e-06]\n", + "Eigen vectors: [[ 0.30437815 -0.02557787 -0.87143145 -0.38380587]\n", + " [-0.01368273 -0.16299286 0.39764517 -0.90284242]\n", + " [-0.94886453 0.07972337 -0.2795342 -0.12312969]\n", + " [ 0.0826004 0.9830683 0.06592561 -0.14969203]]\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", - " ['CA','CB','CC'], t_measure, createmod,\n", - " prior_FIM=prior_pass, discretize_model=disc, args=args_)\n", + " measure_pass, createmod,\n", + " prior_FIM=prior_pass, discretize_model=disc, args=None)\n", "\n", "\n", "if_s = True\n", @@ -363,10 +906,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "64fc6da4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "======Result summary======\n", + "Four design criteria log10() value:\n", + "A-optimality: 3.2638472634086257\n", + "D-optimality: -6.518973117123936\n", + "E-optimality: -6.371711960084957\n", + "Modified E-optimality: 9.50497467295464\n" + ] + } + ], "source": [ "print('======Result summary======')\n", "print('Four design criteria log10() value:')\n", From 59ae4c7dcf8f4bb7423ab881302274a943561651 Mon Sep 17 00:00:00 2001 From: jialu_wang Date: Wed, 6 Oct 2021 00:05:40 -0400 Subject: [PATCH 42/42] ready to add extra index --- pyomo/contrib/doe/fim_doe.py | 28 +- pyomo/contrib/doe/fixed_bed_doe.ipynb | 1719 +++++++++---------------- 2 files changed, 628 insertions(+), 1119 deletions(-) diff --git a/pyomo/contrib/doe/fim_doe.py b/pyomo/contrib/doe/fim_doe.py index 77c6c20dfd5..0b51c9b40fd 100644 --- a/pyomo/contrib/doe/fim_doe.py +++ b/pyomo/contrib/doe/fim_doe.py @@ -58,6 +58,24 @@ def __init__(self, param_init, design_variable_timepoints, measurement_variable_ self.create_model = create_model self.args = args self.measurement_extra_index = measurement_extra_index + extra_measure_name = list(measurement_extra_index.keys()) + extra_measure_value = list(measurement_extra_index.values()) + # check if measurement variables need to be flattened + if self.measurement_extra_index is not None: + flatten_measure_name=[] + for j in self.measurement_variables: + if j in extra_measure_name: + for ind in measurement_extra_index[j]: + flatten_name = j + str(ind) + flatten_measure_name.append(flatten_name) + else: + flatten_measure_name.append(j) + else: + flatten_measure_name = self.measurement_variables.copy() + + self.flatten_measure_name = flatten_measure_name + print('The flattend measurements include:', self.flatten_measure_name) + # check if user-defined solver is given if solver is not None: self.solver = solver @@ -697,9 +715,12 @@ def __finite_calculation(self, output_record, scena_gen): Returns: ''' + # dictionary form of jacobian jac = {} + # 3-D array form of jacobian + #jac_3Darray = np.zeors((len(self.flatten_measure_name), len(self.param_name), len(self.measurement_timeset[0]))) # After collecting outputs from all scenarios, calculate sensitivity - for para in self.param_name: + for no_p, para in enumerate(self.param_name): # extract involved scenario No. for each parameter from scenario class involved_s = scena_gen.scenario_para[para] # each parameter has two involved scenarios @@ -714,6 +735,7 @@ def __finite_calculation(self, output_record, scena_gen): sensi = (output_record[s1][i] - output_record[s2][i]) / scena_gen.eps_abs[ para] * self.scale_constant_value list_jac.append(sensi) + #jac_3Darray[,no_p,] # get Jacobian dict, keys are parameter name, values are sensitivity info jac[para] = list_jac @@ -1591,7 +1613,7 @@ def create_scenario(self): class FIM_result: - def __init__(self, para_name, measurement_variables, measurement_timeset, measurement_extra_index, prior_FIM=None, store_FIM=None, scale_constant_value=1, max_condition_number=1.0E12, + def __init__(self, para_name, measurement_variables, measurement_timeset, prior_FIM=None, store_FIM=None, scale_constant_value=1, max_condition_number=1.0E12, verbose=True): ''' Analyze the FIM result for a single run @@ -1611,7 +1633,7 @@ def __init__(self, para_name, measurement_variables, measurement_timeset, measur self.para_name = para_name self.measurement_variables = measurement_variables self.measurement_timeset = measurement_timeset - self.measurement_extra_index = measurement_extra_index + #self.measurement_extra_index = measurement_extra_index self.prior_FIM = prior_FIM self.store_FIM = store_FIM self.scale_constant_value = scale_constant_value diff --git a/pyomo/contrib/doe/fixed_bed_doe.ipynb b/pyomo/contrib/doe/fixed_bed_doe.ipynb index fa5971098f9..4b10a279590 100644 --- a/pyomo/contrib/doe/fixed_bed_doe.ipynb +++ b/pyomo/contrib/doe/fixed_bed_doe.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "940d1fa5", "metadata": {}, "outputs": [], @@ -17,8 +17,7 @@ "from itertools import permutations, product, combinations\n", "\n", "from fim_doe import *\n", - "from pyomo.contrib.sensitivity_toolbox.sens import sipopt\n", - "from idaes.apps.uncertainty_propagation.sens import get_dsdp" + "from pyomo.contrib.sensitivity_toolbox.sens import sipopt" ] }, { @@ -31,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "3186b934", "metadata": {}, "outputs": [ @@ -53,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "9194ace2", "metadata": {}, "outputs": [], @@ -103,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "f0dc7a42", "metadata": {}, "outputs": [], @@ -115,8 +114,8 @@ "\n", "scena_all = {'scena-name': [0], 'fitted_transport_coefficient':212, 'ua': np.log(5.0E6)}\n", "\n", - "#initialize_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", - "initialize_point = './priors/20210916_feed313_bath293.csv'\n", + "initialize_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv'\n", + "#initialize_point = './priors/20210916_feed313_bath293.csv'\n", "#init_point = '/Users/wangjialu/dowlinglab/sorption-fixed-bed/fixed_bed_initial/T353y20_5e3.csv'\n", "#initialize_point = './priors/20210916_feed313_bath293_5e3.csv'\n", "#init_point = 'init_test.csv'\n", @@ -125,7 +124,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "a7f8e4a2", "metadata": {}, "outputs": [], @@ -140,7 +139,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "id": "d03b6e85", "metadata": {}, "outputs": [], @@ -164,12 +163,13 @@ "measurement = ['FCO2', 'temp']\n", "measurement_extra = {'FCO2': [19], 'temp': [10, 19]}\n", "\n", - "t_measure = exp_time_\n" + "t_measure = exp_time_\n", + "measurement_pass = {'FCO2': t_measure, 'temp': t_measure}" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "id": "0d155ff6", "metadata": {}, "outputs": [ @@ -203,7 +203,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "id": "34639418", "metadata": {}, "outputs": [ @@ -214,7 +214,7 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_34090/1430524320.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;31m#f2.close()\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mjac_init\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjac_init_1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0ml_init\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinalg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcholesky\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfim_init\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/var/folders/cn/dbk7vfw51_g_gb8jqhz4j3ph0000gn/T/ipykernel_37459/1430524320.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;31m#f2.close()\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mjac_init\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjac_init_1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0ml_init\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinalg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcholesky\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfim_init\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mNameError\u001b[0m: name 'jac_init_1' is not defined" ] } @@ -264,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "643d82eb", "metadata": {}, "outputs": [], @@ -287,10 +287,574 @@ "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The flattend measurements include: ['FCO219', 'temp10', 'temp19']\n", + "Sensitivity information is scaled by its corresponding parameter nominal value.\n", + "This scenario: {'fitted_transport_coefficient': {0: 214.12}, 'ua': {0: 15.424948470398375}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.1412, 'ua': 0.15424948470398375}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "temp_feed is fixed at 293.15\n", + "yfeed is fixed at 0.4\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.14e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (15858339)\n", + "Reallocating memory for MA57: lfact (17875814)\n", + " 1 0.0000000e+00 2.14e+02 1.28e+00 -1.0 3.57e+01 - 4.95e-03 2.19e-03h 1\n", + " 2 0.0000000e+00 2.14e+02 1.31e+03 -1.0 3.71e+01 - 8.75e-03 2.18e-05h 1\n", + " 3r 0.0000000e+00 2.14e+02 9.99e+02 2.3 0.00e+00 - 0.00e+00 1.09e-07R 2\n", + " 4r 0.0000000e+00 3.66e+02 5.69e+04 2.3 1.87e+05 - 6.95e-05 7.94e-04f 1\n", + " 5r 0.0000000e+00 3.35e+02 5.80e+04 2.3 6.30e+01 2.0 8.29e-02 1.97e-02f 1\n", + " 6r 0.0000000e+00 6.25e+04 2.27e+05 2.3 3.73e+00 2.4 7.14e-01 5.90e-01f 1\n", + " 7r 0.0000000e+00 2.51e+04 5.71e+06 2.3 3.72e-01 5.6 6.31e-01 8.24e-01h 1\n", + " 8r 0.0000000e+00 2.35e+04 5.40e+06 2.3 4.14e-01 6.9 1.00e+00 6.43e-02h 1\n", + " 9r 0.0000000e+00 1.61e+04 2.26e+07 2.3 4.87e-01 6.4 5.18e-01 3.04e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10r 0.0000000e+00 9.54e+03 9.59e+07 2.3 4.13e-01 6.8 5.67e-01 3.96e-01h 1\n", + " 11r 0.0000000e+00 8.14e+03 7.97e+07 2.3 3.38e-01 7.3 8.07e-01 1.52e-01h 1\n", + " 12r 0.0000000e+00 7.03e+03 6.76e+07 2.3 4.15e-01 6.8 2.37e-01 1.37e-01h 1\n", + " 13r 0.0000000e+00 6.31e+03 6.02e+07 2.3 3.63e-01 7.2 1.00e+00 1.05e-01h 1\n", + " 14r 0.0000000e+00 5.26e+03 1.80e+09 2.3 3.96e+00 6.7 1.62e-02 1.61e-01h 1\n", + " 15r 0.0000000e+00 4.78e+03 1.64e+09 2.3 3.24e-01 7.2 6.63e-01 9.15e-02h 1\n", + " 16r 0.0000000e+00 4.74e+03 1.63e+09 2.3 3.81e-01 7.6 1.38e-01 7.23e-03h 1\n", + " 17r 0.0000000e+00 4.22e+03 1.46e+09 2.3 4.10e-01 7.1 2.64e-02 1.12e-01h 1\n", + " 18r 0.0000000e+00 4.19e+03 1.45e+09 2.3 3.61e-01 7.5 2.67e-01 6.85e-03h 1\n", + " 19r 0.0000000e+00 4.14e+03 1.24e+10 2.3 3.91e+01 7.1 1.50e-04 1.21e-02f 1\n", + "Reallocating memory for MA57: lfact (21811944)\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20r 0.0000000e+00 4.12e+03 1.23e+10 2.3 3.68e-01 9.3 4.33e-01 4.53e-03h 1\n", + " 21r 0.0000000e+00 3.86e+03 1.15e+10 2.3 3.71e-01 8.8 5.47e-01 6.36e-02h 1\n", + " 22r 0.0000000e+00 3.75e+03 1.12e+10 2.3 3.57e-01 9.2 2.29e-01 2.72e-02h 1\n", + " 23r 0.0000000e+00 3.54e+03 1.06e+10 2.3 3.48e-01 8.8 7.07e-01 5.56e-02h 1\n", + " 24r 0.0000000e+00 3.47e+03 1.04e+10 2.3 4.77e-01 9.2 3.37e-02 2.01e-02h 1\n", + " 25r 0.0000000e+00 3.07e+03 9.21e+09 2.3 4.97e-01 8.7 5.35e-02 1.16e-01h 1\n", + " 26r 0.0000000e+00 2.96e+03 8.88e+09 2.3 4.44e-01 9.1 2.00e-01 3.58e-02h 1\n", + " 27r 0.0000000e+00 1.51e+03 1.36e+11 2.3 7.36e-01 8.7 1.29e-01 4.92e-01h 1\n", + " 28r 0.0000000e+00 1.44e+03 1.30e+11 2.3 3.02e-01 10.0 4.66e-02 4.21e-02h 1\n", + "Reallocating memory for MA57: lfact (28170721)\n", + "Reallocating memory for MA57: lfact (42379488)\n", + "Reallocating memory for MA57: lfact (48365109)\n", + " 29r 0.0000000e+00 1.44e+03 1.30e+11 2.3 3.05e-01 10.4 3.33e-03 5.62e-04h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30r 0.0000000e+00 1.44e+03 1.29e+11 2.3 3.11e-01 9.9 1.26e-01 3.18e-03h 1\n", + " 31r 0.0000000e+00 1.41e+03 1.27e+11 2.3 3.05e-01 10.4 1.51e-01 1.57e-02h 1\n", + " 32r 0.0000000e+00 1.40e+03 1.26e+11 2.3 3.15e-01 9.9 1.60e-01 1.10e-02h 1\n", + " 33r 0.0000000e+00 1.09e+03 9.74e+10 2.3 3.06e-01 10.3 4.04e-02 2.20e-01h 1\n", + " 34r 0.0000000e+00 1.09e+03 9.71e+10 2.3 2.67e-01 10.7 9.51e-02 2.53e-03h 1\n", + " 35r 0.0000000e+00 1.09e+03 9.71e+10 2.3 3.88e-01 10.3 4.18e-03 7.26e-05h 1\n", + " 36r 0.0000000e+00 1.09e+03 9.70e+10 2.3 4.49e-01 10.7 1.12e-01 1.21e-03h 1\n", + " 37r 0.0000000e+00 8.22e+02 7.32e+10 2.3 4.52e-01 10.2 1.84e-03 2.43e-01f 1\n", + " 38r 0.0000000e+00 8.14e+02 7.25e+10 2.3 3.30e-01 10.6 3.55e-02 1.02e-02h 1\n", + " 39r 0.0000000e+00 3.81e+02 2.97e+11 2.3 3.57e-01 10.2 9.77e-02 5.30e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40r 0.0000000e+00 3.74e+02 2.91e+11 2.3 1.40e-01 10.6 7.45e-02 1.82e-02h 1\n", + "Reallocating memory for MA57: lfact (63314830)\n", + " 41r 0.0000000e+00 3.56e+02 2.77e+11 2.3 1.38e-01 11.0 8.31e-03 4.74e-02h 1\n", + " 42r 0.0000000e+00 2.58e+02 2.05e+11 2.3 1.31e-01 10.5 9.30e-01 2.75e-01h 1\n", + " 43r 0.0000000e+00 2.57e+02 2.04e+11 2.3 9.09e-02 11.0 2.73e-01 4.84e-03h 1\n", + " 44r 0.0000000e+00 2.55e+02 2.02e+11 2.3 9.28e-02 10.5 1.00e+00 8.94e-03h 1\n", + " 45r 0.0000000e+00 1.43e+02 1.17e+11 2.3 9.24e-02 10.9 4.17e-01 4.38e-01h 1\n", + " 46r 0.0000000e+00 8.74e+01 4.62e+10 2.3 6.43e-02 10.4 1.00e+00 1.00e+00f 1\n", + " 47r 0.0000000e+00 8.74e+01 6.97e+10 2.3 9.69e-02 10.9 8.99e-01 1.00e+00f 1\n", + " 48r 0.0000000e+00 8.74e+01 3.00e+10 2.3 2.67e-02 10.4 9.95e-01 1.00e+00f 1\n", + " 49r 0.0000000e+00 8.74e+01 1.90e+08 2.3 1.73e-03 9.9 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50r 0.0000000e+00 8.74e+01 2.63e+06 2.3 9.80e-04 9.4 1.00e+00 1.00e+00f 1\n", + " 51r 0.0000000e+00 8.74e+01 2.76e+05 2.3 3.09e-04 9.0 1.00e+00 1.00e+00f 1\n", + " 52r 0.0000000e+00 8.74e+01 1.63e+05 2.3 5.47e-04 8.5 1.00e+00 1.00e+00f 1\n", + " 53r 0.0000000e+00 8.74e+01 8.69e+04 2.3 8.75e-04 8.0 1.00e+00 1.00e+00f 1\n", + " 54r 0.0000000e+00 8.74e+01 4.95e+04 2.3 1.50e-03 7.5 1.00e+00 1.00e+00f 1\n", + " 55r 0.0000000e+00 8.74e+01 2.84e+04 2.3 2.57e-03 7.0 1.00e+00 1.00e+00f 1\n", + " 56r 0.0000000e+00 8.74e+01 1.59e+04 2.3 4.33e-03 6.6 1.00e+00 1.00e+00f 1\n", + " 57r 0.0000000e+00 8.74e+01 9.12e+03 2.3 7.44e-03 6.1 1.00e+00 1.00e+00f 1\n", + " 58r 0.0000000e+00 8.74e+01 1.07e+03 1.6 2.63e-03 5.6 1.00e+00 1.00e+00f 1\n", + " 59r 0.0000000e+00 8.74e+01 1.08e+03 1.6 7.94e-03 5.1 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60r 0.0000000e+00 8.74e+01 1.04e+03 1.6 2.30e-02 4.7 1.00e+00 1.00e+00f 1\n", + " 61r 0.0000000e+00 8.73e+01 1.51e+03 1.6 7.15e-02 4.2 1.00e+00 1.00e+00f 1\n", + " 62r 0.0000000e+00 8.73e+01 1.47e+03 1.6 3.65e-02 4.6 1.00e+00 1.00e+00f 1\n", + " 63r 0.0000000e+00 8.73e+01 1.78e+03 1.6 1.65e-02 5.0 1.00e+00 1.00e+00f 1\n", + " 64r 0.0000000e+00 8.73e+01 9.98e+02 1.6 2.78e-02 4.6 1.00e+00 1.00e+00f 1\n", + " 65r 0.0000000e+00 2.38e+02 9.99e+03 1.6 3.45e-01 4.1 3.58e-01 5.26e-01f 1\n", + " 66r 0.0000000e+00 8.72e+01 2.83e+03 1.6 8.87e-02 4.5 1.00e+00 1.00e+00f 1\n", + " 67r 0.0000000e+00 8.72e+01 1.21e+03 1.6 1.42e-02 4.9 1.00e+00 1.00e+00f 1\n", + " 68r 0.0000000e+00 8.72e+01 2.80e+03 0.9 4.25e-02 4.5 1.00e+00 1.00e+00f 1\n", + " 69r 0.0000000e+00 8.71e+01 1.01e+03 0.9 1.07e-01 4.0 1.00e+00 6.69e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70r 0.0000000e+00 8.71e+01 3.29e+03 0.9 5.13e-02 4.4 1.00e+00 1.00e+00f 1\n", + " 71r 0.0000000e+00 8.71e+01 1.16e+03 0.9 1.61e-02 4.8 1.00e+00 1.00e+00f 1\n", + " 72r 0.0000000e+00 8.71e+01 2.61e+03 0.9 5.75e-02 4.4 9.99e-01 1.00e+00f 1\n", + " 73r 0.0000000e+00 8.70e+01 1.41e+03 0.9 3.43e-02 4.8 9.28e-01 7.52e-01f 1\n", + " 74r 0.0000000e+00 8.70e+01 4.69e+03 0.9 1.93e-01 4.3 3.59e-01 2.06e-01f 1\n", + " 75r 0.0000000e+00 8.70e+01 1.03e+03 0.9 1.95e-02 4.7 1.00e+00 9.97e-01f 1\n", + " 76r 0.0000000e+00 8.70e+01 2.14e+03 0.9 1.51e-02 5.2 1.00e+00 1.00e+00f 1\n", + " 77r 0.0000000e+00 8.70e+01 9.98e+02 0.9 2.12e-02 4.7 1.00e+00 1.00e+00f 1\n", + " 78r 0.0000000e+00 8.69e+01 2.57e+03 0.9 6.35e-02 4.2 1.00e+00 7.90e-01f 1\n", + " 79r 0.0000000e+00 8.68e+01 9.99e+02 0.9 1.90e-01 3.7 1.00e+00 6.50e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80r 0.0000000e+00 8.67e+01 1.00e+03 0.9 7.15e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 81r 0.0000000e+00 8.67e+01 1.00e+03 0.9 2.68e-02 4.6 1.00e+00 1.00e+00f 1\n", + " 82r 0.0000000e+00 8.66e+01 1.00e+03 0.9 8.04e-02 4.1 1.00e+00 1.00e+00f 1\n", + " 83r 0.0000000e+00 8.66e+01 1.00e+03 0.9 3.02e-02 4.5 1.00e+00 1.00e+00f 1\n", + " 84r 0.0000000e+00 8.65e+01 1.00e+03 0.9 9.05e-02 4.0 1.00e+00 1.00e+00f 1\n", + " 85r 0.0000000e+00 8.64e+01 1.00e+03 0.9 2.71e-01 3.6 1.00e+00 5.81e-01f 1\n", + " 86r 0.0000000e+00 8.63e+01 1.00e+03 0.9 1.02e-01 4.0 1.00e+00 1.00e+00f 1\n", + " 87r 0.0000000e+00 8.60e+01 2.23e+03 0.9 3.05e-01 3.5 1.00e+00 1.00e+00f 1\n", + " 88r 0.0000000e+00 8.58e+01 1.00e+03 0.9 1.14e-01 3.9 1.00e+00 1.00e+00f 1\n", + " 89r 0.0000000e+00 8.55e+01 1.00e+03 0.9 3.43e-01 3.5 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90r 0.0000000e+00 8.54e+01 1.00e+03 0.9 1.29e-01 3.9 1.00e+00 1.00e+00f 1\n", + " 91r 0.0000000e+00 8.50e+01 3.70e+03 0.9 3.86e-01 3.4 1.00e+00 8.71e-01f 1\n", + " 92r 0.0000000e+00 8.49e+01 1.00e+03 0.9 1.45e-01 3.8 6.02e-01 8.30e-01f 1\n", + " 93r 0.0000000e+00 8.45e+01 1.00e+03 0.9 4.35e-01 3.4 1.00e+00 1.00e+00f 1\n", + " 94r 0.0000000e+00 8.43e+01 1.00e+03 0.9 1.63e-01 3.8 1.00e+00 9.66e-01f 1\n", + " 95r 0.0000000e+00 8.39e+01 1.00e+03 0.9 4.89e-01 3.3 1.00e+00 7.98e-01f 1\n", + " 96r 0.0000000e+00 8.39e+01 1.00e+03 0.9 1.83e-01 3.7 1.00e+00 2.72e-01f 1\n", + " 97r 0.0000000e+00 8.34e+01 1.00e+03 0.9 5.50e-01 3.3 1.00e+00 1.00e+00f 1\n", + " 98r 0.0000000e+00 8.27e+01 1.00e+03 0.9 1.65e+00 2.8 1.00e+00 3.72e-01f 1\n", + " 99r 0.0000000e+00 8.21e+01 1.00e+03 0.9 6.19e-01 3.2 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100r 0.0000000e+00 8.19e+01 1.00e+03 0.9 2.32e-01 3.6 1.00e+00 1.00e+00f 1\n", + " 101r 0.0000000e+00 8.12e+01 1.00e+03 0.9 6.96e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 102r 0.0000000e+00 7.91e+01 1.00e+03 0.9 2.09e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 103r 0.0000000e+00 7.84e+01 1.00e+03 0.9 7.83e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 104r 0.0000000e+00 7.60e+01 1.00e+03 0.9 2.35e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 105r 0.0000000e+00 7.04e+01 1.00e+03 0.9 7.05e+00 2.2 1.00e+00 8.11e-01f 1\n", + " 106r 0.0000000e+00 7.03e+01 1.00e+03 0.9 2.64e+00 2.6 1.00e+00 2.91e-02f 1\n", + " 107r 0.0000000e+00 6.91e+01 1.00e+03 0.9 7.93e+00 2.1 1.00e+00 1.46e-01f 1\n", + " 108r 0.0000000e+00 6.62e+01 1.30e+03 0.9 2.97e+00 2.5 1.00e+00 1.00e+00f 1\n", + " 109r 0.0000000e+00 6.56e+01 1.37e+03 0.9 1.12e+00 3.0 7.38e-01 5.73e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110r 0.0000000e+00 6.50e+01 1.04e+03 0.9 3.35e+00 2.5 1.00e+00 1.81e-01f 1\n", + " 111r 0.0000000e+00 6.37e+01 2.04e+03 0.9 1.25e+00 2.9 6.18e-01 1.00e+00f 1\n", + " 112r 0.0000000e+00 6.12e+01 9.99e+02 0.9 3.76e+00 2.4 1.00e+00 6.78e-01f 1\n", + " 113r 0.0000000e+00 1.05e+02 2.85e+03 0.9 1.41e+00 2.9 5.99e-01 1.00e+00f 1\n", + " 114r 0.0000000e+00 5.56e+01 9.99e+02 0.9 4.23e+00 2.4 1.00e+00 1.00e+00f 1\n", + " 115r 0.0000000e+00 5.40e+01 1.50e+03 0.9 1.59e+00 2.8 1.00e+00 1.00e+00f 1\n", + " 116r 0.0000000e+00 5.34e+01 9.99e+02 0.9 5.95e-01 3.2 1.00e+00 1.00e+00f 1\n", + " 117r 0.0000000e+00 5.16e+01 9.99e+02 0.9 1.79e+00 2.7 1.00e+00 1.00e+00f 1\n", + " 118r 0.0000000e+00 4.63e+01 9.99e+02 0.9 5.36e+00 2.3 1.00e+00 1.00e+00f 1\n", + " 119r 0.0000000e+00 4.62e+01 9.99e+02 0.9 3.49e+00 2.7 7.81e-02 5.45e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120r 0.0000000e+00 4.02e+01 9.98e+02 0.9 6.02e+00 2.2 1.00e+00 1.00e+00f 1\n", + " 121r 0.0000000e+00 3.80e+01 9.96e+02 0.9 2.25e+00 2.6 1.00e+00 1.00e+00f 1\n", + " 122r 0.0000000e+00 3.72e+01 9.92e+02 0.9 8.41e-01 3.1 1.00e+00 1.00e+00f 1\n", + " 123r 0.0000000e+00 3.60e+01 1.41e+03 0.9 2.52e+00 2.6 7.57e-01 4.75e-01f 1\n", + " 124r 0.0000000e+00 3.56e+01 1.40e+03 0.9 7.56e+00 2.1 1.00e+00 4.81e-02f 1\n", + " 125r 0.0000000e+00 2.45e+01 9.91e+02 0.9 2.27e+01 1.6 1.00e+00 4.87e-01f 1\n", + " 126r 0.0000000e+00 2.44e+01 9.91e+02 0.9 8.51e+00 2.1 1.00e+00 1.76e-02f 1\n", + " 127r 0.0000000e+00 2.39e+01 9.91e+02 0.9 3.19e+00 2.5 1.00e+00 1.67e-01f 1\n", + " 128r 0.0000000e+00 2.25e+01 9.91e+02 0.9 9.57e+00 2.0 1.00e+00 1.38e-01f 1\n", + " 129r 0.0000000e+00 2.17e+01 9.91e+02 0.9 3.59e+00 2.4 1.00e+00 2.44e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130r 0.0000000e+00 2.12e+01 9.91e+02 0.9 1.35e+00 2.9 1.00e+00 3.78e-01f 1\n", + " 131r 0.0000000e+00 2.03e+01 9.91e+02 0.9 4.04e+00 2.4 4.44e-01 2.03e-01f 1\n", + " 132r 0.0000000e+00 2.00e+01 9.91e+02 0.9 1.51e+00 2.8 1.00e+00 2.13e-01f 1\n", + " 133r 0.0000000e+00 1.98e+01 9.91e+02 0.9 5.68e-01 3.2 1.00e+00 4.45e-01f 1\n", + " 134r 0.0000000e+00 1.94e+01 9.91e+02 0.9 1.70e+00 2.8 1.00e+00 2.31e-01f 1\n", + " 135r 0.0000000e+00 1.91e+01 9.91e+02 0.9 6.39e-01 3.2 1.00e+00 3.57e-01f 1\n", + " 136r 0.0000000e+00 1.87e+01 9.91e+02 0.9 1.92e+00 2.7 1.00e+00 2.10e-01f 1\n", + " 137r 0.0000000e+00 1.80e+01 9.91e+02 0.9 5.75e+00 2.2 1.00e+00 1.26e-01f 1\n", + " 138r 0.0000000e+00 1.65e+01 9.90e+02 0.9 1.72e+01 1.8 1.00e+00 9.07e-02f 1\n", + " 139r 0.0000000e+00 1.52e+01 9.90e+02 0.9 6.47e+00 2.2 1.00e+00 1.98e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140r 0.0000000e+00 1.43e+01 9.90e+02 0.9 2.43e+00 2.6 1.00e+00 3.55e-01f 1\n", + " 141r 0.0000000e+00 1.39e+01 9.91e+02 0.9 9.09e-01 3.0 1.00e+00 4.57e-01f 1\n", + " 142r 0.0000000e+00 1.33e+01 9.90e+02 0.9 2.73e+00 2.6 1.00e+00 2.21e-01f 1\n", + " 143r 0.0000000e+00 1.26e+01 9.90e+02 0.9 1.02e+00 3.0 1.00e+00 6.61e-01f 1\n", + " 144r 0.0000000e+00 1.23e+01 9.90e+02 0.9 3.84e-01 3.4 1.00e+00 7.14e-01f 1\n", + " 145r 0.0000000e+00 1.21e+01 9.90e+02 0.9 1.15e+00 2.9 1.00e+00 1.80e-01f 1\n", + " 146r 0.0000000e+00 1.10e+01 9.90e+02 0.9 3.45e+00 2.5 1.00e+00 3.33e-01f 1\n", + " 147r 0.0000000e+00 1.07e+01 9.90e+02 0.9 1.29e+00 2.9 1.00e+00 2.35e-01f 1\n", + " 148r 0.0000000e+00 1.05e+01 9.90e+02 0.9 4.85e-01 3.3 1.00e+00 4.05e-01f 1\n", + " 149r 0.0000000e+00 1.01e+01 9.90e+02 0.9 1.46e+00 2.8 1.00e+00 2.36e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150r 0.0000000e+00 9.90e+00 9.90e+02 0.9 5.46e-01 3.3 1.00e+00 4.44e-01f 1\n", + " 151r 0.0000000e+00 9.56e+00 9.90e+02 0.9 1.64e+00 2.8 8.96e-01 2.09e-01f 1\n", + " 152r 0.0000000e+00 8.86e+00 9.90e+02 0.9 4.91e+00 2.3 1.00e+00 1.42e-01f 1\n", + " 153r 0.0000000e+00 8.42e+00 9.90e+02 0.9 1.84e+00 2.7 1.00e+00 2.39e-01f 1\n", + " 154r 0.0000000e+00 7.78e+00 9.90e+02 0.9 6.91e-01 3.2 1.00e+00 9.16e-01f 1\n", + " 155r 0.0000000e+00 7.68e+00 9.90e+02 0.9 2.59e-01 3.6 1.00e+00 4.13e-01f 1\n", + " 156r 0.0000000e+00 7.34e+00 9.90e+02 0.9 7.77e-01 3.1 1.00e+00 4.35e-01f 1\n", + " 157r 0.0000000e+00 6.55e+00 9.90e+02 0.9 2.33e+00 2.6 1.00e+00 3.39e-01f 1\n", + " 158r 0.0000000e+00 5.95e+00 9.90e+02 0.9 8.74e-01 3.1 1.00e+00 6.81e-01f 1\n", + " 159r 0.0000000e+00 5.76e+00 9.89e+02 0.9 2.62e+00 2.6 1.00e+00 7.46e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160r 0.0000000e+00 5.29e+00 9.89e+02 0.9 9.83e-01 3.0 1.00e+00 4.73e-01f 1\n", + " 161r 0.0000000e+00 5.13e+00 9.89e+02 0.9 3.69e-01 3.4 1.00e+00 4.57e-01f 1\n", + " 162r 0.0000000e+00 4.44e+00 9.89e+02 0.9 1.11e+00 3.0 1.00e+00 6.18e-01f 1\n", + " 163r 0.0000000e+00 4.22e+00 9.89e+02 0.9 4.15e-01 3.4 1.00e+00 5.22e-01f 1\n", + " 164r 0.0000000e+00 3.09e+00 9.89e+02 0.9 1.24e+00 2.9 1.00e+00 9.10e-01f 1\n", + " 165r 0.0000000e+00 2.79e+00 9.85e+02 0.9 3.72e+00 2.4 1.00e+00 8.16e-02f 1\n", + " 166r 0.0000000e+00 1.77e+00 9.65e+02 0.9 1.09e+01 1.9 1.00e+00 9.33e-02f 1\n", + " 167r 0.0000000e+00 8.94e-01 9.28e+02 0.9 3.94e+00 2.4 1.00e+00 2.22e-01f 1\n", + " 168r 0.0000000e+00 3.95e-01 8.84e+02 0.9 1.41e+00 2.8 1.00e+00 3.54e-01f 1\n", + " 169r 0.0000000e+00 3.49e-01 9.02e+02 0.9 2.05e+00 2.3 9.84e-01 1.95e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170r 0.0000000e+00 1.34e-01 6.45e+02 0.9 7.17e-02 3.7 1.00e+00 1.00e+00f 1\n", + " 171r 0.0000000e+00 1.34e-01 3.08e+01 0.9 1.73e-02 3.2 1.00e+00 1.00e+00f 1\n", + " 172r 0.0000000e+00 3.91e-01 4.50e+02 -0.5 6.30e-02 2.7 8.58e-01 7.54e-01f 1\n", + " 173r 0.0000000e+00 4.00e-01 6.61e+02 -0.5 2.29e-01 2.2 8.77e-01 3.85e-01f 1\n", + " 174r 0.0000000e+00 4.02e-01 4.95e+02 -0.5 2.40e-01 2.6 1.00e+00 6.70e-02f 1\n", + " 175r 0.0000000e+00 1.69e-01 3.29e+02 -0.5 1.94e-01 2.2 1.00e+00 7.91e-01f 1\n", + " 176r 0.0000000e+00 1.33e-01 7.39e+02 -0.5 7.38e-02 2.6 1.00e+00 3.31e-01f 1\n", + " 177r 0.0000000e+00 1.33e-01 1.21e+03 -0.5 3.52e-01 2.1 7.71e-01 2.07e-01f 1\n", + " 178r 0.0000000e+00 1.33e-01 7.12e+02 -0.5 3.67e-02 3.4 1.00e+00 1.00e+00f 1\n", + " 179r 0.0000000e+00 1.33e-01 9.91e+01 -0.5 1.99e-02 3.0 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180r 0.0000000e+00 1.33e-01 1.09e+02 -0.5 5.76e-02 2.5 1.00e+00 1.00e+00f 1\n", + " 181r 0.0000000e+00 2.50e-01 5.68e+02 -0.5 2.30e-01 2.0 1.00e+00 7.26e-01f 1\n", + " 182r 0.0000000e+00 1.32e-01 1.50e+02 -0.5 6.36e-02 2.4 1.00e+00 1.00e+00f 1\n", + " 183r 0.0000000e+00 1.31e-01 2.46e+02 -0.5 1.71e-01 2.0 1.00e+00 6.17e-01f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 184r 0.0000000e+00 2.77e-01 5.18e+02 -0.5 5.14e-01 1.5 1.00e+00 3.35e-01f 1\n", + " 185r 0.0000000e+00 1.30e-01 3.29e+02 -0.5 1.92e-01 1.9 1.00e+00 6.79e-01f 1\n", + " 186r 0.0000000e+00 1.26e-01 3.40e+01 -0.5 5.77e-01 1.4 1.00e+00 1.00e+00f 1\n", + " 187r 0.0000000e+00 1.24e-01 5.69e+02 -0.5 1.75e+00 1.0 1.00e+00 2.40e-01f 1\n", + " 188r 0.0000000e+00 1.20e-01 1.22e+03 -0.5 5.23e+00 0.5 1.00e+00 1.40e-01f 1\n", + " 189r 0.0000000e+00 1.17e-01 7.24e+02 -0.5 1.84e+00 0.9 1.00e+00 3.39e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190r 0.0000000e+00 1.75e-01 9.53e+02 -0.5 5.08e+00 0.4 9.42e-01 2.43e-01f 1\n", + " 191r 0.0000000e+00 3.34e-01 1.43e+03 -0.5 1.27e+01 -0.0 1.00e+00 1.73e-01f 1\n", + " 192r 0.0000000e+00 4.29e-01 1.11e+03 -0.5 4.34e+00 0.4 1.00e+00 3.30e-01f 1\n", + " 193r 0.0000000e+00 3.18e+00 9.20e+02 -0.5 7.16e+01 - 1.90e-01 9.31e-02f 1\n", + " 194r 0.0000000e+00 2.51e+00 1.21e+03 -0.5 7.49e+00 -0.1 1.00e+00 1.85e-01f 1\n", + " 195r 0.0000000e+00 3.74e+00 9.02e+02 -0.5 1.17e+01 -0.6 2.72e-01 2.15e-01f 1\n", + " 196r 0.0000000e+00 2.87e+00 8.46e+02 -0.5 3.75e+00 -0.2 8.36e-01 2.34e-01f 1\n", + " 197r 0.0000000e+00 1.99e+00 8.99e+01 -0.5 1.56e+00 0.3 1.00e+00 1.00e+00f 1\n", + " 198r 0.0000000e+00 1.66e+00 7.10e+01 -0.5 3.86e+01 - 2.79e-01 2.14e-01f 1\n", + " 199r 0.0000000e+00 1.22e+00 1.26e+02 -0.5 2.05e+00 -0.2 7.84e-01 2.74e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200r 0.0000000e+00 3.62e-01 8.21e+00 -0.5 7.87e-01 0.2 1.00e+00 1.00e+00f 1\n", + " 201r 0.0000000e+00 1.66e+00 1.54e+02 -1.2 2.26e+00 -0.3 6.63e-01 5.36e-01f 1\n", + " 202r 0.0000000e+00 4.80e+00 1.23e+02 -1.2 8.16e+00 -0.7 3.09e-01 2.62e-01f 1\n", + " 203r 0.0000000e+00 3.05e+00 3.69e+02 -1.2 3.20e+00 -0.3 5.77e-01 3.24e-01f 1\n", + " 204r 0.0000000e+00 2.97e+00 2.93e+02 -1.2 8.16e+00 -0.8 3.37e-01 2.44e-02f 1\n", + " 205r 0.0000000e+00 9.07e+00 2.03e+02 -1.2 1.55e+01 -1.3 1.47e-01 2.20e-01f 1\n", + " 206r 0.0000000e+00 7.37e+00 2.72e+02 -1.2 1.73e+00 -0.8 5.03e-01 1.70e-01f 1\n", + " 207r 0.0000000e+00 4.78e+00 1.45e+02 -1.2 1.41e+00 -0.4 4.68e-01 6.90e-01f 1\n", + " 208r 0.0000000e+00 1.21e+01 2.14e+02 -1.2 4.38e+00 -0.9 3.97e-01 2.55e-01f 1\n", + " 209r 0.0000000e+00 7.92e+00 1.28e+02 -1.2 4.05e+00 -1.4 3.60e-01 3.42e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 210r 0.0000000e+00 3.37e+00 1.20e+02 -1.2 1.49e+00 -0.9 7.44e-01 5.11e-01f 1\n", + " 211r 0.0000000e+00 2.97e+00 9.77e+01 -1.2 8.29e+00 - 2.10e-01 1.25e-01f 1\n", + " 212r 0.0000000e+00 2.61e+00 8.63e+01 -1.2 6.63e+00 - 1.42e-01 1.27e-01f 1\n", + " 213r 0.0000000e+00 2.23e+00 7.64e+01 -1.2 6.32e+00 - 2.02e-01 1.49e-01f 1\n", + " 214r 0.0000000e+00 1.94e+00 6.63e+01 -1.2 4.78e+00 - 1.40e-01 1.35e-01f 1\n", + " 215r 0.0000000e+00 1.61e+00 5.72e+01 -1.2 4.31e+00 - 2.74e-01 1.75e-01f 1\n", + " 216r 0.0000000e+00 1.31e+00 4.63e+01 -1.2 2.41e+00 - 2.24e-01 1.91e-01f 1\n", + " 217r 0.0000000e+00 7.10e-02 1.46e+01 -1.2 1.76e-01 -0.5 1.00e+00 1.00e+00f 1\n", + " 218r 0.0000000e+00 1.71e+01 1.50e+02 -1.2 1.06e+01 - 1.69e-01 1.64e-01f 1\n", + " 219r 0.0000000e+00 1.98e+01 3.93e+02 -1.2 1.52e+00 - 5.62e-01 5.36e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 220r 0.0000000e+00 1.31e+01 5.01e+02 -1.2 6.02e-01 0.8 9.63e-01 3.82e-01h 1\n", + " 221r 0.0000000e+00 3.11e+00 9.25e+01 -1.2 5.65e-01 - 8.67e-01 1.00e+00f 1\n", + " 222r 0.0000000e+00 5.59e-01 7.85e+01 -1.2 5.66e-01 - 1.00e+00 1.00e+00h 1\n", + " 223r 0.0000000e+00 2.79e-01 2.36e+01 -1.2 1.13e-01 - 1.00e+00 1.00e+00h 1\n", + " 224r 0.0000000e+00 9.24e-03 1.21e+00 -1.2 9.37e-02 - 1.00e+00 1.00e+00h 1\n", + " 225r 0.0000000e+00 1.34e+00 9.87e+01 -1.9 1.79e+00 - 4.69e-01 4.38e-01f 1\n", + " 226r 0.0000000e+00 3.98e-01 1.23e+02 -1.9 3.90e-01 0.3 8.48e-01 7.76e-01f 1\n", + " 227r 0.0000000e+00 3.93e-01 1.22e+02 -1.9 6.16e+01 - 1.10e-02 9.27e-03f 1\n", + " 228r 0.0000000e+00 3.89e-01 1.21e+02 -1.9 5.61e+01 - 6.10e-03 7.06e-03f 1\n", + " 229r 0.0000000e+00 3.82e-01 1.20e+02 -1.9 4.61e+01 - 6.75e-03 1.19e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 230r 0.0000000e+00 3.76e-01 1.18e+02 -1.9 3.39e+01 - 9.56e-03 1.22e-02f 1\n", + " 231r 0.0000000e+00 3.70e-01 1.17e+02 -1.9 3.21e+01 - 1.35e-02 1.33e-02f 1\n", + " 232r 0.0000000e+00 3.61e-01 1.15e+02 -1.9 3.19e+01 - 2.14e-02 1.84e-02f 1\n", + " 233r 0.0000000e+00 3.52e-01 1.13e+02 -1.9 2.20e+01 - 3.38e-02 2.00e-02f 1\n", + " 234r 0.0000000e+00 5.35e-01 1.09e+02 -1.9 1.59e+01 - 3.00e-02 2.95e-02f 1\n", + " 235r 0.0000000e+00 6.15e-01 1.07e+02 -1.9 1.39e+01 - 2.95e-02 2.22e-02f 1\n", + " 236r 0.0000000e+00 6.75e-01 1.05e+02 -1.9 1.26e+01 - 2.72e-02 2.27e-02f 1\n", + " 237r 0.0000000e+00 3.79e-01 2.51e+02 -1.9 3.06e-01 -0.1 1.00e+00 4.07e-01f 1\n", + " 238r 0.0000000e+00 6.76e-01 2.40e+02 -1.9 1.04e+01 - 3.53e-02 3.92e-02f 1\n", + " 239r 0.0000000e+00 7.62e-01 2.42e+02 -1.9 1.40e+01 - 5.29e-02 2.21e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 240r 0.0000000e+00 1.10e+00 2.31e+02 -1.9 1.10e+01 - 4.37e-02 4.35e-02f 1\n", + " 241r 0.0000000e+00 1.11e+00 2.26e+02 -1.9 9.26e+00 - 3.41e-02 2.50e-02f 1\n", + " 242r 0.0000000e+00 1.75e+00 1.97e+02 -1.9 6.93e+00 - 3.50e-02 9.97e-02f 1\n", + " 243r 0.0000000e+00 1.65e+00 1.77e+02 -1.9 7.18e+00 - 4.49e-02 8.59e-02f 1\n", + " 244r 0.0000000e+00 1.58e+00 1.68e+02 -1.9 6.98e+00 - 6.86e-02 5.66e-02f 1\n", + " 245r 0.0000000e+00 1.47e+00 1.56e+02 -1.9 4.89e+00 - 5.50e-02 6.91e-02f 1\n", + " 246r 0.0000000e+00 1.41e+00 1.56e+02 -1.9 5.68e+00 - 1.35e-01 3.77e-02f 1\n", + " 247r 0.0000000e+00 1.45e+00 1.21e+02 -1.9 3.70e+00 - 4.32e-02 1.77e-01f 1\n", + " 248r 0.0000000e+00 1.38e+00 1.15e+02 -1.9 4.48e+00 - 6.39e-02 5.60e-02f 1\n", + " 249r 0.0000000e+00 1.36e+00 1.08e+02 -1.9 5.45e+00 - 1.44e-01 8.30e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 250r 0.0000000e+00 1.27e+00 1.01e+02 -1.9 3.43e+00 - 1.48e-01 9.24e-02f 1\n", + " 251r 0.0000000e+00 1.20e+00 8.87e+01 -1.9 2.19e+00 - 1.81e-01 1.41e-01f 1\n", + " 252r 0.0000000e+00 1.09e+00 8.14e+01 -1.9 2.14e+00 - 2.30e-01 1.31e-01f 1\n", + " 253r 0.0000000e+00 8.78e-01 4.99e+01 -1.9 1.43e+00 - 3.15e-01 3.64e-01f 1\n", + " 254r 0.0000000e+00 7.17e-01 4.34e+01 -1.9 1.45e+00 - 4.92e-01 2.77e-01h 1\n", + " 255r 0.0000000e+00 1.41e+00 4.60e+01 -1.9 2.28e+00 - 2.87e-01 2.00e-01h 1\n", + " 256r 0.0000000e+00 3.74e-01 1.95e+01 -1.9 5.64e-01 - 9.36e-01 7.59e-01h 1\n", + " 257r 0.0000000e+00 1.19e-01 6.87e+00 -1.9 2.25e-01 - 1.00e+00 1.00e+00h 1\n", + " 258r 0.0000000e+00 7.49e-03 1.85e-01 -1.9 1.01e-01 - 1.00e+00 1.00e+00h 1\n", + " 259r 0.0000000e+00 1.44e-01 5.44e+01 -2.8 8.27e-01 - 3.89e-01 2.71e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 260r 0.0000000e+00 4.17e-01 7.31e+01 -2.8 7.29e+01 - 7.42e-03 3.26e-03f 1\n", + " 261r 0.0000000e+00 4.28e-01 8.70e+01 -2.8 9.57e+01 - 6.43e-03 7.54e-04f 1\n", + " 262r 0.0000000e+00 3.37e-01 1.13e+02 -2.8 1.06e+00 -0.6 3.82e-01 2.67e-01f 1\n", + " 263r 0.0000000e+00 4.41e-01 1.04e+02 -2.8 3.04e+00 -1.1 1.00e-01 9.44e-02f 1\n", + " 264r 0.0000000e+00 1.21e+00 1.01e+02 -2.8 1.81e+01 -1.6 2.30e-02 2.44e-02f 1\n", + " 265r 0.0000000e+00 1.74e+00 9.38e+01 -2.8 3.97e+00 -1.1 1.33e-01 1.18e-01f 1\n", + " 266r 0.0000000e+00 1.76e+00 8.75e+01 -2.8 9.55e+00 -1.6 3.30e-02 3.97e-02f 1\n", + " 267r 0.0000000e+00 1.76e+00 8.82e+01 -2.8 1.10e+02 -2.1 2.04e-03 1.84e-03f 1\n", + " 268r 0.0000000e+00 1.73e+00 1.04e+02 -2.8 9.02e+00 -1.7 5.66e-02 1.61e-02f 1\n", + " 269r 0.0000000e+00 1.49e+00 6.89e+01 -2.8 3.79e+00 -1.2 2.78e-02 1.11e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 270r 0.0000000e+00 1.52e+00 6.78e+01 -2.8 1.91e+01 -1.7 1.48e-02 1.51e-02f 1\n", + " 271r 0.0000000e+00 1.53e+00 6.88e+01 -2.8 6.20e+00 -1.3 6.08e-02 4.09e-02f 1\n", + " 272r 0.0000000e+00 2.30e+00 6.73e+01 -2.8 2.36e+01 -1.8 1.06e-02 2.27e-02f 1\n", + " 273r 0.0000000e+00 2.26e+00 6.76e+01 -2.8 3.20e+01 -2.2 8.59e-03 6.48e-03f 1\n", + " 274r 0.0000000e+00 2.25e+00 6.64e+01 -2.8 1.60e+02 -2.7 7.66e-04 2.15e-03f 1\n", + " 275r 0.0000000e+00 2.24e+00 6.95e+01 -2.8 7.70e+01 - 3.90e-03 1.34e-03f 1\n", + " 276r 0.0000000e+00 2.15e+00 6.13e+01 -2.8 5.27e+00 -1.4 1.25e-02 3.33e-02f 1\n", + " 277r 0.0000000e+00 2.11e+00 6.00e+01 -2.8 1.97e+01 -1.9 8.85e-03 1.28e-02f 1\n", + " 278r 0.0000000e+00 2.07e+00 6.82e+01 -2.8 6.80e+00 -1.4 6.26e-02 1.48e-02f 1\n", + " 279r 0.0000000e+00 2.07e+00 7.28e+01 -2.8 3.47e+02 -1.9 8.96e-04 3.82e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 280r 0.0000000e+00 1.97e+00 6.24e+01 -2.8 9.80e+00 -1.5 1.38e-02 3.07e-02f 1\n", + " 281r 0.0000000e+00 2.05e+00 6.26e+01 -2.8 3.99e+01 -2.0 9.16e-03 1.30e-02f 1\n", + " 282r 0.0000000e+00 2.04e+00 6.23e+01 -2.8 4.50e+01 - 4.45e-03 4.57e-03f 1\n", + " 283r 0.0000000e+00 2.04e+00 6.19e+01 -2.8 5.94e+01 - 2.88e-03 3.48e-03f 1\n", + " 284r 0.0000000e+00 2.03e+00 6.14e+01 -2.8 8.52e+01 - 1.64e-03 2.81e-03f 1\n", + " 285r 0.0000000e+00 2.02e+00 6.83e+01 -2.8 7.12e+00 -1.5 2.74e-02 6.05e-03f 1\n", + " 286r 0.0000000e+00 1.74e+00 6.15e+01 -2.8 2.88e+00 -1.1 1.05e-01 1.04e-01f 1\n", + " 287r 0.0000000e+00 1.72e+00 5.90e+01 -2.8 1.17e+01 -1.6 2.60e-02 2.93e-02f 1\n", + " 288r 0.0000000e+00 1.65e+00 5.44e+01 -2.8 3.19e+00 -1.2 2.78e-02 3.76e-02f 1\n", + " 289r 0.0000000e+00 1.77e+00 5.76e+01 -2.8 1.02e+01 -1.7 1.91e-02 3.63e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 290r 0.0000000e+00 1.65e+00 5.11e+01 -2.8 3.27e+00 -1.2 8.36e-02 6.06e-02f 1\n", + " 291r 0.0000000e+00 1.63e+00 5.18e+01 -2.8 7.71e+00 -1.7 2.99e-02 3.36e-02f 1\n", + " 292r 0.0000000e+00 1.64e+00 4.98e+01 -2.8 3.21e+01 - 7.84e-03 5.70e-03f 1\n", + " 293r 0.0000000e+00 1.63e+00 6.21e+01 -2.8 2.26e+01 - 3.79e-03 1.15e-02f 1\n", + " 294r 0.0000000e+00 1.63e+00 5.48e+01 -2.8 2.77e+01 - 7.28e-03 5.36e-03f 1\n", + " 295r 0.0000000e+00 1.66e+00 6.51e+01 -2.8 4.30e+01 -2.2 1.78e-03 7.88e-03f 1\n", + " 296r 0.0000000e+00 1.69e+00 6.12e+01 -2.8 2.67e+02 -1.8 9.20e-04 7.25e-04f 1\n", + " 297r 0.0000000e+00 1.63e+00 5.93e+01 -2.8 4.69e+00 -1.3 5.20e-02 5.46e-02f 1\n", + " 298r 0.0000000e+00 1.68e+00 6.15e+01 -2.8 7.00e+01 - 4.77e-04 3.14e-03f 1\n", + " 299r 0.0000000e+00 1.68e+00 6.04e+01 -2.8 4.28e+01 - 3.43e-03 2.06e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 300r 0.0000000e+00 1.68e+00 5.41e+01 -2.8 2.74e+01 - 1.82e-02 4.02e-03f 1\n", + " 301r 0.0000000e+00 1.68e+00 5.40e+01 -2.8 1.28e+01 - 1.05e-02 1.59e-02f 1\n", + " 302r 0.0000000e+00 1.67e+00 6.03e+01 -2.8 1.33e+01 - 2.51e-03 1.27e-02f 1\n", + " 303r 0.0000000e+00 1.66e+00 5.63e+01 -2.8 2.86e+01 - 1.99e-02 5.23e-03f 1\n", + " 304r 0.0000000e+00 1.67e+00 5.83e+01 -2.8 1.71e+01 - 4.65e-03 1.79e-02f 1\n", + " 305r 0.0000000e+00 1.68e+00 5.76e+01 -2.8 1.92e+02 - 1.12e-03 7.96e-04f 1\n", + " 306r 0.0000000e+00 1.67e+00 5.35e+01 -2.8 1.36e+01 -1.8 1.33e-02 6.04e-03f 1\n", + " 307r 0.0000000e+00 1.59e+00 6.24e+01 -2.8 4.30e+00 -1.4 1.34e-02 4.58e-02f 1\n", + " 308r 0.0000000e+00 1.32e+00 1.18e+02 -2.8 1.74e+00 -1.0 5.70e-02 3.34e-01f 1\n", + " 309r 0.0000000e+00 1.33e+00 1.23e+02 -2.8 5.02e+01 - 7.66e-03 1.51e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 310r 0.0000000e+00 1.35e+00 1.23e+02 -2.8 2.04e+01 - 8.36e-03 6.29e-03f 1\n", + " 311r 0.0000000e+00 1.41e+00 1.18e+02 -2.8 2.49e+01 - 4.19e-03 8.70e-03f 1\n", + " 312r 0.0000000e+00 1.41e+00 1.34e+02 -2.8 1.49e+01 - 3.82e-02 1.06e-02f 1\n", + " 313r 0.0000000e+00 1.41e+00 1.22e+02 -2.8 1.15e+01 - 1.07e-03 1.95e-02f 1\n", + " 314r 0.0000000e+00 1.41e+00 1.20e+02 -2.8 1.81e+01 - 5.51e-03 8.90e-03f 1\n", + " 315r 0.0000000e+00 1.41e+00 1.11e+02 -2.8 3.51e+01 - 1.46e-02 4.93e-03f 1\n", + " 316r 0.0000000e+00 1.41e+00 1.01e+02 -2.8 1.87e+01 - 1.40e-02 7.99e-03f 1\n", + " 317r 0.0000000e+00 1.44e+00 1.16e+02 -2.8 1.11e+02 - 7.04e-04 1.55e-03f 1\n", + " 318r 0.0000000e+00 1.41e+00 1.16e+02 -2.8 3.72e+00 -1.4 1.83e-02 2.80e-02f 1\n", + " 319r 0.0000000e+00 1.61e+00 1.24e+02 -2.8 1.88e+01 -1.9 5.15e-03 1.77e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 320r 0.0000000e+00 1.55e+00 1.18e+02 -2.8 4.58e+00 -1.5 6.75e-02 5.75e-02f 1\n", + " 321r 0.0000000e+00 1.56e+00 1.20e+02 -2.8 4.70e+01 - 6.57e-03 2.73e-03f 1\n", + " 322r 0.0000000e+00 1.55e+00 1.19e+02 -2.8 1.14e+01 - 2.15e-02 1.13e-02f 1\n", + " 323r 0.0000000e+00 1.53e+00 1.15e+02 -2.8 1.00e+01 - 1.22e-02 2.66e-02f 1\n", + " 324r 0.0000000e+00 1.53e+00 1.15e+02 -2.8 1.41e+01 - 6.24e-03 1.92e-02f 1\n", + " 325r 0.0000000e+00 1.54e+00 1.63e+02 -2.8 1.94e+01 - 6.41e-03 1.28e-02f 1\n", + " 326r 0.0000000e+00 1.54e+00 1.10e+02 -2.8 1.29e+01 - 2.12e-02 3.01e-03f 1\n", + " 327r 0.0000000e+00 1.51e+00 1.08e+02 -2.8 9.40e+00 - 2.60e-02 2.30e-02f 1\n", + " 328r 0.0000000e+00 1.53e+00 1.23e+02 -2.8 2.35e+01 - 1.44e-03 1.14e-02f 1\n", + " 329r 0.0000000e+00 1.55e+00 1.44e+02 -2.8 1.44e+01 - 5.04e-03 1.14e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 330r 0.0000000e+00 1.56e+00 1.04e+02 -2.8 1.98e+01 - 2.40e-02 9.47e-03f 1\n", + " 331r 0.0000000e+00 1.55e+00 1.05e+02 -2.8 7.01e+00 - 2.34e-02 7.42e-03f 1\n", + " 332r 0.0000000e+00 1.54e+00 1.00e+02 -2.8 6.78e+00 - 1.12e-02 2.92e-02f 1\n", + " 333r 0.0000000e+00 1.52e+00 9.80e+01 -2.8 6.32e+00 - 1.34e-02 1.77e-02f 1\n", + " 334r 0.0000000e+00 1.49e+00 9.65e+01 -2.8 6.36e+00 - 2.98e-02 2.15e-02f 1\n", + " 335r 0.0000000e+00 1.48e+00 1.38e+02 -2.8 9.18e+00 - 8.60e-03 3.46e-02f 1\n", + " 336r 0.0000000e+00 1.47e+00 1.34e+02 -2.8 1.32e+01 - 3.62e-02 1.00e-02f 1\n", + " 337r 0.0000000e+00 1.45e+00 2.12e+02 -2.8 9.67e+00 - 4.26e-02 2.53e-02f 1\n", + " 338r 0.0000000e+00 1.40e+00 1.19e+02 -2.8 6.12e+00 - 1.57e-02 4.40e-02f 1\n", + " 339r 0.0000000e+00 1.38e+00 1.23e+02 -2.8 8.67e+00 - 1.50e-02 3.07e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 340r 0.0000000e+00 1.35e+00 1.55e+02 -2.8 8.07e+00 - 8.00e-03 3.13e-02f 1\n", + " 341r 0.0000000e+00 1.34e+00 1.22e+02 -2.8 3.98e+00 - 3.12e-02 8.33e-03h 1\n", + " 342r 0.0000000e+00 1.33e+00 1.14e+02 -2.8 4.95e+00 - 4.67e-02 4.11e-02f 1\n", + " 343r 0.0000000e+00 1.29e+00 1.30e+02 -2.8 3.05e+00 - 3.12e-02 5.83e-02f 1\n", + " 344r 0.0000000e+00 1.26e+00 1.10e+02 -2.8 3.25e+00 - 6.36e-02 2.52e-02f 1\n", + " 345r 0.0000000e+00 1.24e+00 1.05e+02 -2.8 2.06e+00 - 2.47e-02 1.82e-02h 1\n", + " 346r 0.0000000e+00 1.23e+00 1.73e+03 -2.8 5.93e+00 -2.0 1.64e-03 2.49e-02f 1\n", + " 347r 0.0000000e+00 1.09e+00 1.54e+03 -2.8 1.30e-01 2.1 1.19e-01 1.10e-01h 1\n", + " 348r 0.0000000e+00 7.28e-01 1.04e+03 -2.8 1.16e-01 1.6 5.41e-02 3.23e-01h 1\n", + " 349r 0.0000000e+00 6.30e-01 8.65e+02 -2.8 7.84e-02 2.0 9.77e-02 1.34e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 350r 0.0000000e+00 4.82e-01 6.82e+02 -2.8 1.85e-01 1.6 4.68e-01 2.31e-01h 1\n", + " 351r 0.0000000e+00 4.82e-01 6.68e+02 -2.8 7.41e+00 - 1.62e-01 6.03e-04h 1\n", + " 352r 0.0000000e+00 4.87e-01 5.82e+02 -2.8 1.40e+00 - 3.14e-01 1.30e-01f 1\n", + " 353r 0.0000000e+00 4.73e-01 5.67e+02 -2.8 1.53e+00 - 4.44e-02 3.51e-02h 1\n", + " 354r 0.0000000e+00 4.62e-01 6.06e+02 -2.8 2.31e+00 - 1.61e-01 6.04e-02f 1\n", + " 355r 0.0000000e+00 4.52e-01 1.25e+03 -2.8 2.10e+00 - 1.23e-01 3.08e-02h 1\n", + " 356r 0.0000000e+00 7.74e-01 4.79e+02 -2.8 2.41e+00 - 1.62e-03 1.33e-01f 1\n", + " 357r 0.0000000e+00 7.72e-01 5.05e+02 -2.8 7.52e+00 - 6.95e-02 5.06e-03h 1\n", + " 358r 0.0000000e+00 8.61e-01 4.70e+02 -2.8 6.96e+00 - 7.15e-03 4.11e-02f 1\n", + " 359r 0.0000000e+00 4.72e-01 2.69e+02 -2.8 1.17e-01 1.1 2.65e-01 4.42e-01h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 360r 0.0000000e+00 2.46e-01 1.94e+02 -2.8 1.96e-01 0.6 6.73e-01 4.66e-01h 1\n", + " 361r 0.0000000e+00 1.87e-01 2.39e+02 -2.8 8.45e-01 0.1 2.88e-01 4.62e-01h 1\n", + " 362r 0.0000000e+00 1.80e-01 2.19e+02 -2.8 5.05e-01 0.5 3.31e-01 1.91e-01h 1\n", + " 363r 0.0000000e+00 1.93e-01 2.17e+02 -2.8 8.93e+00 - 7.58e-03 1.22e-02f 1\n", + " 364r 0.0000000e+00 2.15e-01 2.12e+02 -2.8 3.91e+01 - 7.98e-03 3.95e-03f 1\n", + " 365r 0.0000000e+00 5.89e-01 2.24e+02 -2.8 2.51e+01 - 3.89e-03 1.20e-02f 1\n", + " 366r 0.0000000e+00 5.92e-01 1.98e+02 -2.8 1.10e+01 - 2.99e-02 4.37e-03f 1\n", + " 367r 0.0000000e+00 6.10e-01 3.11e+02 -2.8 7.35e+00 - 6.18e-02 1.59e-02f 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 368r 0.0000000e+00 9.47e-01 1.88e+02 -2.8 1.36e+01 - 8.53e-04 2.30e-02f 1\n", + " 369r 0.0000000e+00 9.93e-01 1.94e+02 -2.8 8.37e+00 - 9.19e-03 2.10e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 370r 0.0000000e+00 1.00e+00 1.90e+02 -2.8 8.67e+00 - 1.60e-02 1.45e-02f 1\n", + " 371r 0.0000000e+00 9.98e-01 1.59e+02 -2.8 9.42e+00 - 6.55e-02 1.51e-02f 1\n", + " 372r 0.0000000e+00 9.31e-01 1.44e+02 -2.8 9.32e-01 - 2.28e-02 6.56e-02h 1\n", + " 373r 0.0000000e+00 9.56e-01 1.44e+02 -2.8 1.16e+01 - 1.64e-02 2.29e-02f 1\n", + " 374r 0.0000000e+00 9.52e-01 1.33e+02 -2.8 1.05e+01 - 4.85e-02 2.15e-02f 1\n", + " 375r 0.0000000e+00 9.87e-01 1.38e+02 -2.8 8.62e+00 - 4.78e-02 3.00e-02f 1\n", + " 376r 0.0000000e+00 9.36e-01 1.33e+02 -2.8 7.21e-01 - 3.11e-02 5.13e-02h 1\n", + " 377r 0.0000000e+00 1.05e+00 1.23e+02 -2.8 7.11e+00 - 1.66e-02 3.79e-02f 1\n", + " 378r 0.0000000e+00 1.04e+00 1.20e+02 -2.8 5.79e+00 - 5.41e-02 3.02e-02h 1\n", + " 379r 0.0000000e+00 1.05e+00 1.17e+02 -2.8 7.06e+00 - 5.92e-02 3.73e-02h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 380r 0.0000000e+00 1.01e+00 1.10e+02 -2.8 3.76e-01 - 5.96e-02 4.39e-02h 1\n", + " 381r 0.0000000e+00 1.06e+00 1.01e+02 -2.8 5.71e+00 - 1.70e-02 5.00e-02f 1\n", + " 382r 0.0000000e+00 1.06e+00 1.03e+02 -2.8 8.94e+00 - 4.76e-02 2.52e-02h 1\n", + " 383r 0.0000000e+00 1.00e+00 9.73e+01 -2.8 2.57e-01 - 5.57e-02 5.43e-02h 1\n", + " 384r 0.0000000e+00 1.96e-01 1.20e+02 -2.8 1.04e-01 0.1 1.00e+00 7.75e-01h 1\n", + " 385r 0.0000000e+00 1.76e-01 1.06e+02 -2.8 8.67e-01 - 4.86e-02 1.55e-01h 1\n", + " 386r 0.0000000e+00 1.79e-01 1.06e+02 -2.8 4.51e+00 - 1.14e-01 2.68e-02h 1\n", + " 387r 0.0000000e+00 1.08e-01 8.88e+01 -2.8 3.33e-02 - 1.00e+00 3.99e-01h 1\n", + " 388r 0.0000000e+00 1.75e-03 1.05e+00 -2.8 2.85e-02 - 1.00e+00 1.00e+00h 1\n", + " 389r 0.0000000e+00 1.77e-05 5.05e-05 -2.8 4.22e-04 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 390r 0.0000000e+00 2.43e-03 4.44e+01 -6.3 3.26e-02 - 9.59e-01 7.64e-01f 1\n", + " 391r 0.0000000e+00 2.29e-03 7.66e+02 -6.3 4.39e-02 - 9.23e-01 7.80e-02f 1\n", + " 392r 0.0000000e+00 2.71e-04 5.66e+01 -6.3 6.05e-03 - 1.00e+00 9.32e-01f 1\n", + " 393r 0.0000000e+00 2.34e-08 3.57e-03 -6.3 6.01e-05 - 1.00e+00 1.00e+00f 1\n", + " 394r 0.0000000e+00 9.31e-09 1.88e-09 -6.3 1.75e-07 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 394\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 3.7252902984619141e-09 9.3132257461547852e-09\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 3.7252902984619141e-09 9.3132257461547852e-09\n", + "\n", + "\n", + "Number of objective function evaluations = 397\n", + "Number of objective gradient evaluations = 5\n", + "Number of equality constraint evaluations = 397\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 396\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 394\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 449.244\n", + "Total CPU secs in NLP function evaluations = 19.906\n", + "\n", + "EXIT: Optimal Solution Found.\n", + "Output this time: [0.000199428298248, 3.2088137410412776e-05, 3.181924398306501e-05, 3.250641786563349e-05, 3.452018001425449e-05, 4.2596749291135326e-05, 7.66478013433256e-05, 0.00021404238178294638, 0.0007171467525926658, 0.0022631913786980208, 0.006282747913844705, 0.015617874263727525, 0.030908188772376097, 0.04655913964719077, 0.061623685376689954, 0.07567828614068334, 0.08854972535475483, 0.10019852213913628, 0.11065691248906225, 0.11999434281135668, 0.12829777809000584, 0.13566033564147917, 0.14217475253155454, 0.14792972670297794, 0.15300799237097637, 0.1574854484650552, 0.16143092360784753, 0.16490631889853735, 0.16796696620766985, 0.1706620996249564, 0.17303537592972829, 0.17512540419165046, 0.17696626049319647, 0.1785879738545607, 0.18001697612536366, 0.181276512804298, 0.18238701441471428, 0.183366429698761, 0.1842305228408859, 0.18499313742905538, 0.1856664300666643, 0.1862610765657355, 0.18678645355401355, 0.18725079816284246, 0.18766134826119713, 0.18802446548493357, 0.18834574309277854, 0.18863010047025225, 0.1888818659046026, 0.189104849070624, 0.18930240450003816, 0.1894774871560678, 0.18963270109943178, 0.189770342111321, 0.18989243503190834, 0.19000076647839592, 0.1900969135233281, 0.19018226884072548, 0.19025806276341795, 0.19032538263878185, 0.19038518982093952, 0.19043833459456516, 0.1904855692879661, 0.1905275598004126, 0.19056489574018462, 0.1905980993449362, 0.1906276333343162, 0.19065390782604238, 0.19067728643349366, 293.15, 293.15420856073405, 293.1632110234758, 293.17723276093074, 293.17829553360474, 293.17742771691906, 293.17567934564516, 293.1735664335458, 293.1713577659935, 293.1691954297152, 293.1671528421794, 293.1652648863897, 293.1635444322085, 293.1619917661015, 293.1606001313495, 293.15935904496456, 293.1582563013969, 293.15727918072565, 293.15641516590006, 293.1556523533249, 293.1549796708277, 293.15438697484115, 293.15386507266453, 293.15340569931215, 293.1530014680539, 293.15264580696874, 293.15233288942403, 293.1520575634798, 293.15181528328026, 293.15160204424086, 293.1514143229791, 293.15124902240973, 293.15110342206304, 293.1509751334762, 293.15086206037404, 293.1507623632866, 293.15067442822476, 293.1505968390245, 293.15052835298803, 293.15046787946517, 293.1504144610471, 293.15036725707165, 293.1503255291684, 293.15028862859924, 293.15025598517565, 293.1502270975605, 293.15020152478127, 293.15017887880487, 293.15015881804163, 293.15014104165977, 293.1501252846101, 293.15011131327054, 293.1500989216323, 293.1500879279592, 293.15007817186006, 293.1500695117235, 293.1500618224676, 293.1500549935661, 293.15004892731577, 293.1500435373159, 293.15003874713113, 293.15003448911773, 293.1500307033906, 293.1500273369149, 293.150024342707, 293.15002167912934, 293.1500193092715, 293.1500172004027, 293.15001532349015, 293.15, 293.15000108064675, 293.15000036416296, 293.15000221236363, 293.150011516336, 293.1500532526019, 293.1502175625971, 293.1507711880565, 293.15239132312377, 293.1564250203801, 293.1652582949137, 293.1766063344709, 293.17734361140685, 293.1764629309945, 293.17480411987754, 293.17280843928705, 293.1707163730947, 293.1686597214595, 293.1667089544869, 293.16489901818335, 293.1632440132562, 293.16174582058846, 293.16039929193096, 293.1591954230866, 293.1581233084286, 293.15717134295153, 293.15632795204465, 293.1555820216067, 293.15492313701725, 293.1543417002856, 293.1538289702179, 293.153377054827, 293.15297887513196, 293.1526281128889, 293.1523191504167, 293.15204700777514, 293.1518072806096, 293.1515960806733, 293.1514099801721, 293.15124596050265, 293.15110136557945, 293.15097385970796, 293.15086138981303, 293.15076215174633, 293.1506745603562, 293.1505972229823, 293.15052891604626, 293.1504685644158, 293.15041522324475, 293.1503680620109, 293.1503263505008, 293.15028944651175, 293.15025678506777, 293.15022786896634, 293.1502022604938, 293.15017957416643, 293.1501594703697, 293.1501416497851, 293.1501258485058, 293.1501118337559, 293.15009940013744, 293.15008836633905, 293.1500785722491, 293.1500698764221, 293.15006215385563, 293.15005529403686, 293.15004919922694, 293.15004378295396, 293.1500389686865]\n", + "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.579197955102359}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15579197955102358}, 'scena-name': [0]}\n", + "The inlet feed density is 41.0275814575221 [mol/m3]\n", + "the number of timepoints is 68\n", + "The init point is /Users/wangjialu/dowlinglab/sorption-fixed-bed/20200729_energy.csv\n", + "Model # of time grid is 69 , initial point # of time grid is 69\n", + "temp_feed is fixed at 293.15\n", + "yfeed is fixed at 0.4\n", + "Ipopt 3.13.3: linear_solver=ma57\n", + "halt_on_ampl_error=yes\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.3, running with linear solver ma57.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 93745\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 51003\n", + "\n", + "Total number of variables............................: 23360\n", + " variables with only lower bounds: 0\n", + " variables with lower and upper bounds: 16460\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 23360\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 2.50e+02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + "Reallocating memory for MA57: lfact (15846511)\n", + "Reallocating memory for MA57: lfact (17860404)\n", + " 1 0.0000000e+00 2.50e+02 1.30e+00 -1.0 3.57e+01 - 4.99e-03 2.19e-03h 1\n", + " 2 0.0000000e+00 2.50e+02 1.32e+03 -1.0 3.71e+01 - 8.81e-03 2.18e-05h 1\n" + ] + } + ], "source": [ "doe_object = DesignOfExperiments(parameter_dict, dv_pass,\n", - " measurement, t_measure, model_integrate,\n", + " measurement_pass, model_integrate,\n", " prior_FIM=prior_pass, discretize_model=None, args=args_,\n", " measurement_extra_index = measurement_extra)\n", "\n", @@ -298,7 +862,7 @@ "\n", "result = doe_object.compute_FIM(exp1, mode=sensi_opt, FIM_store_name = 'fixed_bed.csv',\n", " scale_nominal_param_value = if_s, \n", - " store_output = 'store_output', read_output='store_output_fco2',\n", + " store_output = 'store_output', read_output=None,\n", " formula='central')\n", "\n", "if sensi_opt == 'simultaneous_finite':\n", @@ -308,6 +872,18 @@ " result.calculate_FIM(doe_object.jac, doe_object.design_values)" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "ace686af", + "metadata": {}, + "outputs": [], + "source": [ + "result.calculate_FIM(doe_object.jac, doe_object.design_values, jaco_involved_name=['FCO2'], jaco_involved_extra_index=[[10],[10]])\n", + "\n", + "\n" + ] + }, { "cell_type": "code", "execution_count": null, @@ -486,7 +1062,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "5245c36b", "metadata": {}, "outputs": [], @@ -506,1082 +1082,10 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "45eca6da", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sensitivity information is scaled by its corresponding parameter nominal value.\n", - "This scenario: {'fitted_transport_coefficient': {0: 214.12}, 'ua': {0: 15.424948470398375}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.1412, 'ua': 0.15424948470398375}, 'scena-name': [0]}\n", - "The inlet feed density is 41.0275814575221 [mol/m3]\n", - "the number of timepoints is 68\n", - "The init point is ./priors/20210916_feed313_bath293.csv\n", - "Model # of time grid is 69 , initial point # of time grid is 69\n", - "temp_feed is fixed at 313.15\n", - "yfeed is fixed at 0.15\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 7.30e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (2555076)\n", - " 1 0.0000000e+00 7.28e+01 3.61e+02 -1.0 5.56e+00 - 6.40e-01 1.78e-03h 1\n", - " 2 0.0000000e+00 7.28e+01 9.69e+06 -1.0 5.58e+00 - 4.79e-01 1.77e-05h 1\n", - "Reallocating memory for MA57: lfact (3082347)\n", - " 3 0.0000000e+00 2.95e+01 9.43e+06 -1.0 1.52e+00 - 2.71e-02 7.91e-01f 1\n", - " 4 0.0000000e+00 8.98e+00 7.33e+06 -1.0 8.17e-01 - 2.23e-01 1.00e+00h 1\n", - "Reallocating memory for MA57: lfact (3529627)\n", - " 5 0.0000000e+00 2.73e+00 4.28e+06 -1.0 1.09e+00 - 4.16e-01 1.00e+00h 1\n", - "Reallocating memory for MA57: lfact (3753734)\n", - " 6 0.0000000e+00 8.69e-01 1.69e+06 -1.0 3.82e-01 - 6.05e-01 1.00e+00h 1\n", - " 7r 0.0000000e+00 8.69e-01 1.00e+03 -0.1 0.00e+00 - 0.00e+00 2.64e-07R 3\n", - " 8r 0.0000000e+00 7.34e-01 9.86e+02 -0.1 7.79e+02 - 1.40e-02 1.06e-03f 1\n", - " 9r 0.0000000e+00 3.02e-01 8.99e+02 -0.1 1.36e+01 - 1.68e-01 1.39e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.14e+00 6.21e+02 -0.1 3.07e+00 - 3.04e-01 1.82e-01f 1\n", - " 11r 0.0000000e+00 1.76e+02 1.28e+04 -0.1 2.52e+00 - 4.83e-01 6.26e-01f 1\n", - " 12r 0.0000000e+00 7.07e+01 5.30e+03 -0.1 9.81e-01 2.0 8.13e-01 7.93e-01f 1\n", - "Reallocating memory for MA57: lfact (3960094)\n", - " 13r 0.0000000e+00 4.59e+01 2.23e+04 -0.1 6.04e-01 2.4 4.72e-01 4.10e-01f 1\n", - " 14r 0.0000000e+00 4.28e+01 2.08e+04 -0.1 2.00e+00 1.9 5.51e-02 6.86e-02f 1\n", - " 15r 0.0000000e+00 3.23e+01 1.52e+04 -0.1 1.14e+00 2.4 1.47e-01 2.72e-01f 1\n", - " 16r 0.0000000e+00 1.97e+01 1.26e+05 -0.1 1.87e+00 1.9 1.62e-01 4.74e-01f 1\n", - " 17r 0.0000000e+00 1.47e+01 9.21e+04 -0.1 2.71e+00 1.4 8.62e-01 2.85e-01f 1\n", - " 18r 0.0000000e+00 1.01e+01 5.94e+04 -0.1 1.88e+00 1.8 7.10e-01 3.74e-01f 1\n", - "Reallocating memory for MA57: lfact (4552220)\n", - "Reallocating memory for MA57: lfact (5000525)\n", - " 19r 0.0000000e+00 9.89e+00 5.82e+04 -0.1 5.26e-01 4.1 7.85e-03 2.10e-02h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 5.77e+00 7.64e+04 -0.1 2.74e-01 3.6 7.28e-02 5.65e-01h 1\n", - " 21r 0.0000000e+00 5.69e+00 7.53e+04 -0.1 7.80e-01 4.0 9.23e-03 1.36e-02h 1\n", - " 22r 0.0000000e+00 5.49e+00 7.23e+04 -0.1 3.41e-01 4.5 1.24e-02 3.67e-02h 1\n", - " 23r 0.0000000e+00 5.04e+00 6.60e+04 -0.1 3.89e-01 4.0 3.93e-02 8.91e-02h 1\n", - " 24r 0.0000000e+00 4.62e+00 6.03e+04 -0.1 2.95e-01 4.4 4.05e-02 9.04e-02h 1\n", - " 25r 0.0000000e+00 3.91e+00 7.00e+04 -0.1 2.89e-01 3.9 2.08e-02 1.95e-01h 1\n", - " 26r 0.0000000e+00 3.90e+00 6.98e+04 -0.1 6.36e+00 3.4 3.04e-02 2.98e-03f 1\n", - " 27r 0.0000000e+00 3.30e+00 7.08e+04 -0.1 2.66e-01 3.9 2.02e-02 2.81e-01h 1\n", - " 28r 0.0000000e+00 3.17e+00 6.85e+04 -0.1 9.19e-01 3.4 2.98e-02 7.87e-02h 1\n", - " 29r 0.0000000e+00 3.13e+00 2.19e+04 -0.1 3.02e-01 3.8 6.72e-02 6.62e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.09e+00 8.83e+04 -0.1 2.00e-01 3.3 2.02e-01 6.99e-01h 1\n", - " 31r 0.0000000e+00 3.08e+00 5.69e+04 -0.1 2.49e-01 3.8 2.44e-01 2.61e-01f 1\n", - " 32r 0.0000000e+00 3.03e+00 2.50e+04 -0.1 5.40e-02 3.3 1.00e+00 1.00e+00h 1\n", - " 33r 0.0000000e+00 2.89e+00 3.87e+03 -0.1 1.55e-01 2.8 1.00e+00 8.59e-01f 1\n", - " 34r 0.0000000e+00 2.80e+00 3.84e+04 -0.1 1.26e+00 2.3 1.14e-01 2.09e-01f 1\n", - " 35r 0.0000000e+00 2.79e+00 3.64e+04 -0.1 1.39e+00 3.7 2.72e-02 2.79e-02f 1\n", - " 36r 0.0000000e+00 2.79e+00 7.65e+03 -0.1 8.10e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 37r 0.0000000e+00 2.78e+00 3.23e+03 -0.1 1.48e-01 3.6 8.49e-01 2.96e-01f 1\n", - " 38r 0.0000000e+00 2.71e+00 4.89e+02 -0.1 7.37e-02 3.1 1.00e+00 1.00e+00f 1\n", - " 39r 0.0000000e+00 2.48e+00 1.59e+03 -0.1 2.22e-01 2.7 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 2.40e+00 2.96e+03 -0.1 9.08e-02 3.1 1.00e+00 1.00e+00f 1\n", - " 41r 0.0000000e+00 2.37e+00 6.14e+03 -0.1 7.25e-02 3.5 1.00e+00 1.00e+00f 1\n", - " 42r 0.0000000e+00 2.36e+00 2.30e+03 -0.1 5.57e-02 3.9 1.00e+00 1.00e+00f 1\n", - " 43r 0.0000000e+00 2.35e+00 4.40e+03 -0.1 1.39e+00 3.5 5.11e-02 4.94e-02f 1\n", - " 44r 0.0000000e+00 2.35e+00 3.86e+03 -0.1 1.12e-01 3.9 1.00e+00 2.86e-01f 1\n", - " 45r 0.0000000e+00 2.31e+00 4.10e+03 -0.1 4.18e-02 3.4 1.00e+00 1.00e+00f 1\n", - " 46r 0.0000000e+00 2.18e+00 9.66e+03 -0.1 1.62e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 47r 0.0000000e+00 2.18e+00 6.56e+02 -0.1 1.57e-02 4.3 1.00e+00 1.00e+00f 1\n", - " 48r 0.0000000e+00 2.16e+00 9.22e+03 -0.1 7.01e-02 3.8 1.00e+00 1.00e+00f 1\n", - " 49r 0.0000000e+00 2.15e+00 5.88e+03 -0.1 4.41e-02 4.2 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 2.14e+00 8.29e+03 -0.1 1.37e-01 3.7 1.00e+00 7.36e-01f 1\n", - " 51r 0.0000000e+00 2.14e+00 6.93e+03 -0.1 6.45e-02 4.2 1.00e+00 1.61e-01f 1\n", - " 52r 0.0000000e+00 2.13e+00 1.05e+04 -0.1 2.50e-01 3.7 4.31e-01 4.50e-01f 1\n", - " 53r 0.0000000e+00 2.13e+00 9.63e+03 -0.1 2.44e-02 4.1 1.00e+00 7.68e-02h 1\n", - " 54r 0.0000000e+00 2.11e+00 1.07e+04 -0.1 2.35e-01 3.6 3.40e-01 4.49e-01f 1\n", - " 55r 0.0000000e+00 2.10e+00 8.21e+03 -0.1 8.12e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 56r 0.0000000e+00 2.10e+00 6.33e+03 -0.1 1.76e-01 3.6 1.00e+00 1.78e-01f 1\n", - " 57r 0.0000000e+00 2.08e+00 4.03e+02 -0.1 1.51e-02 4.0 1.00e+00 1.00e+00f 1\n", - " 58r 0.0000000e+00 2.04e+00 2.46e+04 -0.1 1.36e-01 3.5 1.00e+00 9.74e-01f 1\n", - " 59r 0.0000000e+00 2.02e+00 1.46e+04 -0.1 1.08e-01 4.0 4.18e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 2.01e+00 1.18e+04 -0.1 2.26e-01 3.5 1.00e+00 1.55e-01f 1\n", - " 61r 0.0000000e+00 1.98e+00 5.97e+02 -0.1 2.11e-02 3.9 1.00e+00 1.00e+00f 1\n", - " 62r 0.0000000e+00 1.98e+00 1.18e+04 -0.1 3.29e+00 3.4 5.29e-02 3.01e-02f 1\n", - " 63r 0.0000000e+00 1.93e+00 4.17e+04 -0.1 1.41e-01 3.9 4.73e-01 9.89e-01f 1\n", - " 64r 0.0000000e+00 1.89e+00 4.05e+04 -0.1 4.40e-01 3.4 3.33e-01 2.97e-02f 1\n", - " 65r 0.0000000e+00 1.75e+00 8.35e+03 -0.1 4.36e-02 3.8 1.00e+00 7.72e-01f 1\n", - " 66r 0.0000000e+00 1.64e+00 3.20e+02 -0.1 1.88e-02 4.2 1.00e+00 1.00e+00f 1\n", - " 67r 0.0000000e+00 5.39e-02 6.27e+03 -0.1 1.42e-01 3.8 1.00e+00 8.50e-01f 1\n", - " 68r 0.0000000e+00 1.01e+00 2.65e+03 -0.1 1.51e+00 3.3 7.34e-02 5.84e-02f 1\n", - " 69r 0.0000000e+00 7.38e-01 2.79e+03 -0.1 2.43e-02 2.8 1.00e+00 2.76e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 7.31e-02 6.35e+03 -0.1 4.12e-02 2.3 1.00e+00 1.00e+00f 1\n", - " 71r 0.0000000e+00 1.14e-01 2.43e+02 -0.1 7.06e-02 1.8 1.00e+00 1.00e+00f 1\n", - " 72r 0.0000000e+00 2.81e+00 1.09e+02 -0.1 1.95e-01 1.4 1.00e+00 1.00e+00f 1\n", - " 73r 0.0000000e+00 5.25e+01 4.43e+03 -0.1 1.02e+00 0.9 8.42e-01 1.00e+00f 1\n", - " 74r 0.0000000e+00 2.22e+01 6.05e+02 -0.1 1.83e-01 2.2 1.00e+00 7.93e-01h 1\n", - " 75r 0.0000000e+00 7.76e+00 7.53e+01 -0.1 1.47e-01 1.7 1.00e+00 1.00e+00f 1\n", - " 76r 0.0000000e+00 2.79e+00 5.66e+02 -0.1 4.21e-01 1.3 1.00e+00 1.00e+00f 1\n", - " 77r 0.0000000e+00 2.87e+00 1.07e+04 -0.1 6.02e-01 1.7 1.00e+00 1.00e+00f 1\n", - " 78r 0.0000000e+00 2.62e+00 3.30e+03 -0.1 3.08e-01 1.2 1.00e+00 1.00e+00f 1\n", - " 79r 0.0000000e+00 3.40e-01 5.87e+02 -0.1 1.36e-01 1.6 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 8.08e+00 3.04e+02 -0.1 2.84e-01 1.2 1.00e+00 1.00e+00f 1\n", - " 81r 0.0000000e+00 3.31e+00 1.22e+02 -0.1 1.97e-01 1.6 1.00e+00 1.00e+00f 1\n", - " 82r 0.0000000e+00 1.54e+01 8.91e+02 -0.1 4.80e-01 1.1 1.00e+00 1.00e+00f 1\n", - " 83r 0.0000000e+00 3.64e+01 6.41e+02 -0.1 4.63e-01 1.5 1.00e+00 1.00e+00f 1\n", - " 84r 0.0000000e+00 1.28e+01 8.64e+02 -0.1 4.85e-01 1.1 1.00e+00 1.00e+00f 1\n", - " 85r 0.0000000e+00 5.60e+01 3.77e+03 -0.1 2.06e+00 1.5 2.29e-01 2.01e-01f 1\n", - " 86r 0.0000000e+00 2.77e+00 4.67e+03 -0.1 1.39e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 87r 0.0000000e+00 1.81e+00 2.25e+03 -0.1 2.49e-01 2.3 1.00e+00 3.54e-01h 1\n", - " 88r 0.0000000e+00 1.78e-01 1.93e+02 -0.1 4.31e-02 1.9 1.00e+00 1.00e+00f 1\n", - " 89r 0.0000000e+00 1.83e+00 1.18e+02 -0.1 1.84e-01 1.4 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 4.87e-01 2.24e+02 -0.1 7.02e-02 1.8 1.00e+00 1.00e+00f 1\n", - " 91r 0.0000000e+00 2.05e+00 1.28e+02 -0.1 1.94e-01 1.3 1.00e+00 1.00e+00f 1\n", - " 92r 0.0000000e+00 5.42e-01 1.84e+02 -0.1 7.04e-02 1.8 1.00e+00 1.00e+00f 1\n", - " 93r 0.0000000e+00 2.64e+00 1.89e+02 -0.1 2.44e-01 1.3 1.00e+00 1.00e+00f 1\n", - " 94r 0.0000000e+00 6.75e-01 4.41e+02 -0.1 1.02e-01 1.7 1.00e+00 1.00e+00f 1\n", - " 95r 0.0000000e+00 4.07e+00 1.88e+02 -0.1 3.08e-01 1.2 1.00e+00 1.00e+00f 1\n", - " 96r 0.0000000e+00 9.75e-01 5.30e+02 -0.1 1.49e-01 1.7 1.00e+00 1.00e+00f 1\n", - " 97r 0.0000000e+00 3.18e+00 1.83e+02 -0.1 2.34e-01 1.2 1.00e+00 1.00e+00f 1\n", - " 98r 0.0000000e+00 7.92e-01 2.86e+02 -0.1 1.13e-01 1.6 1.00e+00 1.00e+00f 1\n", - " 99r 0.0000000e+00 2.23e+00 1.22e+02 -0.1 1.95e-01 1.1 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 1.51e+02 2.47e+04 -0.1 1.44e+00 0.7 4.79e-01 7.78e-01f 1\n", - " 101r 0.0000000e+00 9.97e+01 1.49e+04 -0.1 2.43e-01 2.9 7.02e-01 3.96e-01f 1\n", - " 102r 0.0000000e+00 3.18e+01 8.91e+03 -0.1 2.15e-01 3.3 1.00e+00 1.00e+00h 1\n", - " 103r 0.0000000e+00 2.31e+01 6.18e+03 -0.1 4.00e-01 2.8 7.68e-01 3.11e-01f 1\n", - " 104r 0.0000000e+00 7.86e+00 2.19e+03 -0.1 1.62e-01 2.4 1.00e+00 1.00e+00f 1\n", - " 105r 0.0000000e+00 3.45e+00 1.84e+02 -0.1 1.40e-01 1.9 1.00e+00 1.00e+00f 1\n", - " 106r 0.0000000e+00 2.05e+00 2.93e+03 -0.1 7.55e-01 1.4 1.00e+00 1.00e+00f 1\n", - " 107r 0.0000000e+00 7.26e-01 7.58e+03 -0.1 2.05e+00 0.9 1.00e+00 8.80e-01f 1\n", - " 108r 0.0000000e+00 7.57e-02 8.37e+03 -0.1 8.78e-02 2.3 1.00e+00 1.00e+00f 1\n", - " 109r 0.0000000e+00 6.96e-03 3.19e+02 -0.1 7.17e-02 1.8 1.00e+00 9.77e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 2.45e-02 1.44e+02 -0.1 1.50e-01 1.3 1.00e+00 1.00e+00f 1\n", - " 111r 0.0000000e+00 8.96e-02 1.25e+02 -0.1 2.67e-01 0.8 1.00e+00 1.00e+00f 1\n", - " 112r 0.0000000e+00 1.97e-01 1.85e+02 -0.1 4.46e-01 0.3 1.00e+00 1.00e+00f 1\n", - " 113r 0.0000000e+00 5.16e+00 3.48e+02 -0.1 1.69e+01 - 5.75e-02 3.44e-02f 2\n", - " 114r 0.0000000e+00 3.88e+00 2.66e+02 -0.1 1.94e+00 - 7.77e-01 2.99e-01f 1\n", - " 115r 0.0000000e+00 5.00e+01 4.51e+03 -0.1 6.42e-01 0.8 1.00e+00 1.00e+00f 1\n", - " 116r 0.0000000e+00 1.47e+01 2.89e+02 -0.1 2.51e-01 2.1 1.00e+00 1.00e+00h 1\n", - " 117r 0.0000000e+00 3.27e+00 1.46e+03 -0.1 1.74e-01 2.5 1.00e+00 1.00e+00h 1\n", - " 118r 0.0000000e+00 3.75e-01 3.79e+02 -0.1 1.98e-01 2.0 1.00e+00 5.53e-01h 1\n", - " 119r 0.0000000e+00 8.80e-01 2.30e+01 -0.1 3.32e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 0.0000000e+00 2.06e+00 6.38e+02 -0.8 1.16e+01 - 9.96e-02 9.66e-02f 1\n", - " 121r 0.0000000e+00 6.34e+00 4.66e+02 -0.8 3.63e+00 - 2.66e-01 3.64e-01f 1\n", - " 122r 0.0000000e+00 4.30e+00 4.06e+02 -0.8 3.14e-01 1.6 9.32e-01 6.11e-01f 1\n", - " 123r 0.0000000e+00 2.20e+00 2.80e+02 -0.8 2.06e-01 1.1 1.00e+00 3.41e-01f 1\n", - " 124r 0.0000000e+00 1.48e+00 1.88e+02 -0.8 4.38e-01 0.6 1.00e+00 6.39e-01f 1\n", - " 125r 0.0000000e+00 9.15e-01 4.31e+02 -0.8 6.43e-01 0.1 1.00e+00 4.97e-01f 1\n", - " 126r 0.0000000e+00 1.22e+00 6.86e+02 -0.8 3.28e+00 - 3.74e-01 1.85e-01f 1\n", - " 127r 0.0000000e+00 1.15e+00 6.04e+02 -0.8 9.24e-01 - 9.51e-01 6.19e-02f 1\n", - " 128r 0.0000000e+00 1.42e+00 7.49e+01 -0.8 7.51e-01 - 1.00e+00 1.00e+00f 1\n", - " 129r 0.0000000e+00 7.06e-01 2.97e+01 -0.8 8.49e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r 0.0000000e+00 8.65e-01 1.89e+02 -0.8 7.78e-01 - 1.00e+00 5.00e-01f 2\n", - " 131r 0.0000000e+00 4.93e-01 1.82e+01 -0.8 4.36e-01 - 1.00e+00 1.00e+00f 1\n", - " 132r 0.0000000e+00 4.17e-01 2.59e+01 -0.8 3.29e-01 - 1.00e+00 1.00e+00h 1\n", - " 133r 0.0000000e+00 9.98e-02 2.27e+00 -0.8 1.73e-01 - 1.00e+00 1.00e+00h 1\n", - " 134r 0.0000000e+00 1.43e+00 4.55e+02 -1.5 4.99e+00 - 3.01e-01 2.03e-01f 1\n", - " 135r 0.0000000e+00 1.21e+00 2.59e+02 -1.5 1.64e+00 - 5.10e-01 4.99e-01f 1\n", - " 136r 0.0000000e+00 1.01e+00 2.36e+02 -1.5 8.20e-01 - 5.28e-01 1.94e-01f 1\n", - " 137r 0.0000000e+00 5.79e-01 2.97e+02 -1.5 6.68e-01 - 1.00e+00 6.56e-01f 1\n", - " 138r 0.0000000e+00 1.03e-01 1.76e+02 -1.5 2.84e-01 - 1.00e+00 1.00e+00f 1\n", - " 139r 0.0000000e+00 2.06e-03 8.18e+01 -1.5 3.61e-02 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r 0.0000000e+00 2.06e-03 1.22e+00 -1.5 1.36e-02 - 1.00e+00 1.00e+00f 1\n", - " 141r 0.0000000e+00 9.97e-02 1.77e+02 -2.2 6.63e-01 - 1.00e+00 3.43e-01f 1\n", - " 142r 0.0000000e+00 1.84e-01 1.86e+02 -2.2 6.02e-01 - 1.00e+00 4.87e-01f 1\n", - " 143r 0.0000000e+00 1.73e-01 9.62e+01 -2.2 4.36e-01 - 1.00e+00 6.26e-01f 1\n", - " 144r 0.0000000e+00 9.20e-02 7.55e+01 -2.2 2.54e-01 - 1.00e+00 7.57e-01f 1\n", - " 145r 0.0000000e+00 4.86e-02 8.37e+01 -2.2 1.78e-01 - 1.00e+00 6.70e-01f 1\n", - " 146r 0.0000000e+00 1.81e-02 8.27e+01 -2.2 1.17e-01 - 6.97e-01 1.00e+00f 1\n", - " 147r 0.0000000e+00 5.02e-03 6.05e+01 -2.2 5.99e-02 - 8.87e-01 1.00e+00h 1\n", - " 148r 0.0000000e+00 6.39e-04 1.91e+01 -2.2 1.11e-02 - 1.00e+00 1.00e+00h 1\n", - " 149r 0.0000000e+00 6.37e-04 2.99e+00 -2.2 5.85e-03 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150r 0.0000000e+00 6.37e-04 2.87e-01 -2.2 4.72e-04 - 1.00e+00 1.00e+00h 1\n", - " 151r 0.0000000e+00 6.37e-04 6.28e-04 -2.2 1.33e-05 - 1.00e+00 1.00e+00h 1\n", - " 152r 0.0000000e+00 1.44e-02 2.73e+02 -5.0 5.36e-01 - 9.46e-01 2.08e-01f 1\n", - " 153r 0.0000000e+00 1.70e-02 2.69e+02 -5.0 2.07e-01 - 1.00e+00 3.98e-01f 1\n", - " 154r 0.0000000e+00 1.32e-02 2.98e+02 -5.0 1.17e-01 - 9.94e-01 3.40e-01f 1\n", - " 155r 0.0000000e+00 9.22e-03 2.16e+02 -5.0 8.63e-02 - 7.62e-01 4.37e-01f 1\n", - " 156r 0.0000000e+00 7.91e-03 2.13e+02 -5.0 7.02e-02 - 3.16e-01 1.58e-01f 1\n", - " 157r 0.0000000e+00 7.42e-03 1.98e+02 -5.0 6.65e-02 - 5.76e-02 6.44e-02f 1\n", - " 158r 0.0000000e+00 7.20e-03 2.02e+02 -5.0 6.51e-02 - 9.71e-02 3.11e-02f 1\n", - " 159r 0.0000000e+00 6.63e-03 1.83e+02 -5.0 6.45e-02 - 7.01e-02 8.35e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r 0.0000000e+00 6.42e-03 1.77e+02 -5.0 6.28e-02 - 3.03e-02 3.22e-02f 1\n", - " 161r 0.0000000e+00 6.06e-03 2.23e+02 -5.0 6.19e-02 - 4.22e-02 5.94e-02f 1\n", - " 162r 0.0000000e+00 4.46e-03 1.54e+02 -5.0 6.04e-02 - 1.64e-01 3.45e-01f 1\n", - " 163r 0.0000000e+00 4.15e-03 1.25e+02 -5.0 5.25e-02 - 1.89e-01 7.21e-02f 1\n", - " 164r 0.0000000e+00 3.80e-03 2.13e+02 -5.0 4.78e-02 - 1.65e-01 8.88e-02f 1\n", - " 165r 0.0000000e+00 3.50e-03 1.05e+02 -5.0 4.63e-02 - 1.42e-01 8.35e-02f 1\n", - " 166r 0.0000000e+00 3.34e-03 2.20e+02 -5.0 4.56e-02 - 1.10e-01 4.74e-02f 1\n", - " 167r 0.0000000e+00 3.27e-03 2.18e+02 -5.0 4.60e-02 - 1.24e-02 2.14e-02f 1\n", - " 168r 0.0000000e+00 3.04e-03 2.00e+02 -5.0 4.46e-02 - 1.71e-01 7.09e-02f 1\n", - " 169r 0.0000000e+00 2.94e-03 2.47e+02 -5.0 4.41e-02 - 7.86e-02 3.48e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r 0.0000000e+00 2.88e-03 1.88e+02 -5.0 4.42e-02 - 8.53e-03 2.01e-02f 1\n", - " 171r 0.0000000e+00 2.82e-03 2.66e+02 -5.0 4.41e-02 - 1.17e-02 2.18e-02f 1\n", - " 172r 0.0000000e+00 2.72e-03 2.57e+02 -5.0 4.33e-02 - 3.90e-02 3.55e-02f 1\n", - " 173r 0.0000000e+00 2.66e-03 3.47e+02 -5.0 4.30e-02 - 8.34e-03 2.20e-02f 1\n", - " 174r 0.0000000e+00 2.42e-03 3.11e+02 -5.0 4.23e-02 - 7.09e-02 9.89e-02f 1\n", - " 175r 0.0000000e+00 2.23e-03 2.85e+02 -5.0 4.13e-02 - 9.07e-02 8.13e-02f 1\n", - " 176r 0.0000000e+00 2.03e-03 4.95e+02 -5.0 4.01e-02 - 2.34e-02 9.76e-02f 1\n", - " 177r 0.0000000e+00 1.94e-03 4.75e+02 -5.0 3.61e-02 - 4.59e-02 4.64e-02f 1\n", - " 178r 0.0000000e+00 1.85e-03 4.50e+02 -5.0 3.38e-02 - 3.94e-02 4.66e-02f 1\n", - " 179r 0.0000000e+00 1.77e-03 4.35e+02 -5.0 2.97e-02 - 5.83e-02 4.41e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180r 0.0000000e+00 1.70e-03 4.14e+02 -5.0 3.12e-02 - 3.79e-02 4.24e-02f 1\n", - " 181r 0.0000000e+00 1.67e-03 4.11e+02 -5.0 3.43e-02 - 2.39e-02 1.64e-02f 1\n", - " 182r 0.0000000e+00 1.63e-03 4.03e+02 -5.0 2.93e-02 - 2.81e-02 2.24e-02f 1\n", - " 183r 0.0000000e+00 1.59e-03 3.98e+02 -5.0 3.05e-02 - 4.87e-03 2.53e-02f 1\n", - " 184r 0.0000000e+00 1.55e-03 3.87e+02 -5.0 2.92e-02 - 2.09e-02 2.74e-02f 1\n", - " 185r 0.0000000e+00 1.51e-03 3.78e+02 -5.0 3.07e-02 - 1.62e-02 2.53e-02f 1\n", - " 186r 0.0000000e+00 1.47e-03 3.69e+02 -5.0 3.25e-02 - 2.43e-02 2.39e-02f 1\n", - " 187r 0.0000000e+00 1.46e-03 3.66e+02 -5.0 2.93e-02 - 7.30e-03 8.42e-03f 1\n", - " 188r 0.0000000e+00 1.44e-03 3.59e+02 -5.0 2.83e-02 - 2.64e-02 1.50e-02f 1\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 189r 0.0000000e+00 1.41e-03 3.51e+02 -5.0 2.92e-02 - 1.93e-02 2.36e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190r 0.0000000e+00 1.27e-03 3.24e+02 -5.0 2.91e-02 - 3.19e-02 1.04e-01f 1\n", - " 191r 0.0000000e+00 1.14e-03 2.96e+02 -5.0 2.89e-02 - 6.73e-02 1.03e-01f 1\n", - " 192r 0.0000000e+00 1.12e-03 2.91e+02 -5.0 2.77e-02 - 7.31e-02 2.24e-02f 1\n", - " 193r 0.0000000e+00 1.03e-03 2.66e+02 -5.0 2.69e-02 - 2.31e-02 8.62e-02f 1\n", - " 194r 0.0000000e+00 1.02e-03 2.62e+02 -5.0 2.27e-02 - 4.00e-02 4.06e-03f 1\n", - " 195r 0.0000000e+00 9.79e-04 2.52e+02 -5.0 1.90e-02 - 3.47e-02 4.32e-02f 1\n", - " 196r 0.0000000e+00 9.66e-04 4.22e+02 -5.0 1.88e-02 - 8.90e-02 1.32e-02f 1\n", - " 197r 0.0000000e+00 9.30e-04 4.06e+02 -5.0 1.90e-02 - 4.07e-02 3.76e-02f 1\n", - " 198r 0.0000000e+00 9.09e-04 3.89e+02 -5.0 1.65e-02 - 4.38e-03 2.31e-02f 1\n", - " 199r 0.0000000e+00 9.00e-04 3.91e+02 -5.0 1.65e-02 - 3.15e-02 9.72e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200r 0.0000000e+00 8.76e-04 3.77e+02 -5.0 1.69e-02 - 3.20e-03 2.66e-02f 1\n", - " 201r 0.0000000e+00 8.69e-04 3.74e+02 -5.0 1.83e-02 - 1.27e-02 7.91e-03f 1\n", - " 202r 0.0000000e+00 8.34e-04 5.16e+02 -5.0 1.87e-02 - 5.53e-03 4.15e-02f 1\n", - " 203r 0.0000000e+00 8.17e-04 4.99e+02 -5.0 1.89e-02 - 1.16e-01 2.02e-02f 1\n", - " 204r 0.0000000e+00 7.91e-04 4.83e+02 -5.0 2.03e-02 - 1.77e-02 3.26e-02f 1\n", - " 205r 0.0000000e+00 7.55e-04 4.60e+02 -5.0 1.96e-02 - 3.73e-02 4.63e-02f 1\n", - " 206r 0.0000000e+00 7.31e-04 4.46e+02 -5.0 1.39e-02 - 2.68e-02 3.14e-02f 1\n", - " 207r 0.0000000e+00 7.16e-04 4.35e+02 -5.0 1.16e-02 - 4.25e-02 2.04e-02f 1\n", - " 208r 0.0000000e+00 7.10e-04 4.30e+02 -5.0 6.01e-03 - 1.50e-02 9.45e-03f 1\n", - " 209r 0.0000000e+00 6.97e-04 4.46e+02 -5.0 5.69e-03 - 3.79e-02 1.79e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 210r 0.0000000e+00 6.78e-04 4.40e+02 -5.0 3.04e-03 - 8.20e-03 2.70e-02f 1\n", - " 211r 0.0000000e+00 6.76e-04 4.41e+02 -5.0 3.76e-03 - 1.65e-02 2.69e-03f 1\n", - " 212r 0.0000000e+00 6.65e-04 4.44e+02 -5.0 2.87e-03 - 4.30e-02 1.73e-02f 1\n", - " 213r 0.0000000e+00 6.56e-04 4.28e+02 -5.0 5.43e-03 - 5.23e-03 1.38e-02f 1\n", - " 214r 0.0000000e+00 6.49e-04 4.24e+02 -5.0 3.97e-03 - 4.23e-03 9.73e-03f 1\n", - " 215r 0.0000000e+00 6.43e-04 4.20e+02 -5.0 4.78e-03 - 1.08e-02 8.95e-03f 1\n", - " 216r 0.0000000e+00 6.36e-04 4.78e+02 -5.0 5.21e-03 - 5.89e-03 1.06e-02f 1\n", - " 217r 0.0000000e+00 6.30e-04 4.95e+02 -5.0 2.15e-03 - 6.28e-03 1.04e-02f 1\n", - " 218r 0.0000000e+00 5.62e-04 1.48e+03 -5.0 5.99e-04 - 6.75e-03 1.08e-01f 1\n", - " 219r 0.0000000e+00 1.55e-07 5.33e+01 -5.0 3.34e-04 - 1.47e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 220r 0.0000000e+00 3.49e-10 1.96e-03 -5.0 7.11e-06 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 220\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.7218701622727179e-10 3.4924596548080444e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.7218701622727179e-10 3.4924596548080444e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 229\n", - "Number of objective gradient evaluations = 9\n", - "Number of equality constraint evaluations = 229\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 222\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 220\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 64.334\n", - "Total CPU secs in NLP function evaluations = 10.940\n", - "\n", - "EXIT: Optimal Solution Found.\n", - "Output this time: [0.000199428298248, 4.1618486214519046e-05, 4.1907183845181826e-05, 4.24154434050551e-05, 4.2865573049443134e-05, 4.326098639653961e-05, 4.3615055400998556e-05, 4.3930233910183426e-05, 4.4225633569871206e-05, 4.4504992765851005e-05, 4.4799179689926386e-05, 4.512263032969187e-05, 4.553504311423994e-05, 4.608424350591023e-05, 4.6900577100796304e-05, 4.8128877077829605e-05, 5.005247575469756e-05, 5.311069644886764e-05, 5.785778993226866e-05, 6.560819271267581e-05, 7.725638759772843e-05, 9.641421299783197e-05, 0.00012413750506212048, 0.00016884702452384098, 0.00023144341024221654, 0.00032735382607651655, 0.000459549892202062, 0.0006464634471233798, 0.0009074192959209844, 0.0012412248631135875, 0.001725521794696657, 0.0022859406591450855, 0.003129440777785531, 0.004039100026958566, 0.00540814990438008, 0.006865673175873992, 0.008923008159602501, 0.011263616282442667, 0.014169551137893335, 0.018582420467524684, 0.02288394081064882, 0.0269515833941988, 0.030752832292274646, 0.03427379915981849, 0.03751285787402379, 0.0404764609062652, 0.04317623591926042, 0.04562695248982867, 0.04784509706170499, 0.049847880101839236, 0.051652553113983445, 0.05327594870134422, 0.05473418126593283, 0.056042463082149954, 0.05721500273718814, 0.05826496179126661, 0.059204451972063345, 0.06004455995944286, 0.06079539031224587, 0.06146611967390703, 0.062065057308588, 0.06259970843874324, 0.0630768379060321, 0.0635025324541031, 0.06388226050346833, 0.06422092870717863, 0.06452293487991068, 0.06479221711133139, 0.06503229902881667, 293.15, 293.1500329162862, 293.1500786944468, 293.1501599079376, 293.1502876080567, 293.1504680611935, 293.15073593977854, 293.1510605208323, 293.1515417252604, 293.1520607971162, 293.15284673467227, 293.15362775200606, 293.154816700334, 293.1559664891078, 293.15763429955996, 293.15935096116124, 293.16162040512404, 293.16564595930157, 293.1688625072643, 293.16820918321713, 293.1671244598561, 293.16593560115416, 293.16471076303776, 293.1634954399165, 293.16231917831004, 293.16120046613753, 293.1601500768858, 293.1591734095893, 293.15827215027895, 293.15744546021966, 293.1566908287201, 293.15600468456535, 293.1553828329198, 293.15482076506675, 293.15431387535347, 293.1538576104708, 293.1534475692573, 293.153079566686, 293.1527496718727, 293.1524542275329, 293.15218985635096, 293.151953458212, 293.15174220131394, 293.1515535093033, 293.1513850460174, 293.15123469897054, 293.1511005623931, 293.1509809203906, 293.1508742306065, 293.1507791086402, 293.15069431337554, 293.1506187333006, 293.15055137385303, 293.1504913457878, 293.1504378545369, 293.1503901905211, 293.1503477203562, 293.1503098788979, 293.1502761620594, 293.15024612034415, 293.1502193530295, 293.15019550294613, 293.1501742517967, 293.1501553159642, 293.1501384427602, 293.1501234070717, 293.15011000836523, 293.1500980680118, 293.1500874268996, 293.15, 293.1500010318201, 293.14999999684034, 293.1499999966384, 293.1500000071814, 293.1500000263578, 293.15000006189257, 293.15000012389197, 293.1500002358425, 293.15000042274653, 293.15000075238265, 293.1500012868576, 293.1500022066256, 293.15000367562504, 293.1500061369627, 293.1500100555048, 293.1500163770038, 293.15002650275557, 293.15004198684085, 293.1500669278642, 293.1501025784203, 293.1501594292886, 293.1502351977687, 293.1503518217002, 293.1504994735836, 293.1507129510596, 293.150980118977, 293.15133227486325, 293.15179166333206, 293.1523260671954, 293.15308385660114, 293.1538535754561, 293.15504031830943, 293.1561324465798, 293.15786474831543, 293.15945544189293, 293.1619663264498, 293.16602790751097, 293.16865397215435, 293.16785713801147, 293.1667739167611, 293.16559899937675, 293.1643951127871, 293.1632042237318, 293.1620536498727, 293.1609604842185, 293.1599346497951, 293.1589810541392, 293.15810112843866, 293.15729393425113, 293.1565569611016, 293.15588670066353, 293.1552790583108, 293.15472964577856, 293.1542339867165, 293.153787658414, 293.15338638682965, 293.1530261075909, 293.15270300234215, 293.1524135173991, 293.15215436986574, 293.15192254503285, 293.1517152878755, 293.15153009072037, 293.15136467859304, 293.15121699333883, 293.151085177295, 293.1509675570612, 293.15086262774093]\n", - "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.579197955102359}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15579197955102358}, 'scena-name': [0]}\n", - "The inlet feed density is 41.0275814575221 [mol/m3]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "the number of timepoints is 68\n", - "The init point is ./priors/20210916_feed313_bath293.csv\n", - "Model # of time grid is 69 , initial point # of time grid is 69\n", - "temp_feed is fixed at 313.15\n", - "yfeed is fixed at 0.15\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 7.30e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (2556663)\n", - " 1 0.0000000e+00 7.28e+01 3.62e+02 -1.0 5.56e+00 - 6.40e-01 1.78e-03h 1\n", - "Reallocating memory for MA57: lfact (3101558)\n", - " 2 0.0000000e+00 7.28e+01 9.70e+06 -1.0 5.58e+00 - 4.79e-01 1.77e-05h 1\n", - "Reallocating memory for MA57: lfact (3621647)\n", - " 3 0.0000000e+00 3.01e+01 9.44e+06 -1.0 1.52e+00 - 2.71e-02 7.77e-01f 1\n", - " 4 0.0000000e+00 9.15e+00 7.35e+06 -1.0 8.11e-01 - 2.21e-01 1.00e+00h 1\n", - " 5 0.0000000e+00 2.78e+00 4.28e+06 -1.0 1.05e+00 - 4.18e-01 1.00e+00h 1\n", - " 6 0.0000000e+00 8.46e-01 1.81e+06 -1.0 3.86e-01 - 5.77e-01 1.00e+00h 1\n", - " 7r 0.0000000e+00 8.46e-01 1.00e+03 -0.1 0.00e+00 - 0.00e+00 3.22e-07R 3\n", - " 8r 0.0000000e+00 6.17e-01 9.86e+02 -0.1 7.94e+02 - 1.42e-02 1.05e-03f 1\n", - "Reallocating memory for MA57: lfact (3901655)\n", - " 9r 0.0000000e+00 3.07e-01 8.99e+02 -0.1 1.38e+01 - 1.71e-01 1.41e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.43e+00 6.44e+02 -0.1 3.06e+00 - 2.74e-01 1.85e-01f 1\n", - " 11r 0.0000000e+00 1.74e+02 1.29e+04 -0.1 2.61e+00 - 4.82e-01 6.00e-01f 1\n", - " 12r 0.0000000e+00 6.98e+01 4.35e+03 -0.1 9.48e-01 2.0 7.96e-01 7.95e-01f 1\n", - " 13r 0.0000000e+00 4.38e+01 2.18e+04 -0.1 7.83e-01 2.4 4.93e-01 4.40e-01f 1\n", - " 14r 0.0000000e+00 1.75e+01 1.35e+05 -0.1 1.77e+00 1.9 7.57e-01 8.38e-01f 1\n", - "Reallocating memory for MA57: lfact (4589974)\n", - " 15r 0.0000000e+00 1.73e+01 1.33e+05 -0.1 1.63e+00 3.3 2.59e-02 1.14e-02h 1\n", - " 16r 0.0000000e+00 1.30e+01 9.92e+04 -0.1 4.83e-01 2.8 1.54e-02 2.79e-01h 1\n", - " 17r 0.0000000e+00 1.26e+01 9.57e+04 -0.1 1.68e+00 3.2 2.59e-02 3.43e-02h 1\n", - " 18r 0.0000000e+00 1.04e+01 7.81e+04 -0.1 1.97e+00 2.7 3.14e-02 1.92e-01h 1\n", - " 19r 0.0000000e+00 6.26e+00 4.18e+04 -0.1 2.87e-01 3.2 6.57e-01 5.22e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 5.57e+00 3.68e+04 -0.1 2.49e+00 2.7 3.35e-02 1.20e-01h 1\n", - " 21r 0.0000000e+00 4.37e+00 2.70e+04 -0.1 2.50e+00 2.2 1.39e-01 2.74e-01h 1\n", - " 22r 0.0000000e+00 4.24e+00 2.62e+04 -0.1 1.21e+00 3.6 1.27e-02 3.10e-02h 1\n", - " 23r 0.0000000e+00 3.99e+00 2.45e+04 -0.1 1.71e+00 3.1 3.12e-02 6.61e-02h 1\n", - " 24r 0.0000000e+00 3.84e+00 2.35e+04 -0.1 1.13e+00 3.5 1.69e-02 3.86e-02h 1\n", - " 25r 0.0000000e+00 3.50e+00 2.08e+04 -0.1 1.58e+00 3.0 2.52e-02 1.16e-01h 1\n", - "Reallocating memory for MA57: lfact (5043088)\n", - " 26r 0.0000000e+00 3.36e+00 2.38e+04 -0.1 4.04e-01 4.4 1.44e-02 5.99e-02h 1\n", - " 27r 0.0000000e+00 3.18e+00 1.69e+05 -0.1 4.61e-01 3.9 2.18e-02 1.79e-01h 1\n", - " 28r 0.0000000e+00 3.15e+00 5.40e+04 -0.1 2.97e-01 4.3 1.09e-01 1.00e+00h 1\n", - " 29r 0.0000000e+00 3.13e+00 2.18e+04 -0.1 1.12e-01 3.8 9.83e-01 7.43e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.13e+00 1.95e+04 -0.1 3.41e-01 3.3 9.09e-01 4.21e-02f 1\n", - " 31r 0.0000000e+00 3.03e+00 1.48e+05 -0.1 4.22e-01 2.9 1.79e-01 7.51e-01f 1\n", - " 32r 0.0000000e+00 3.03e+00 9.54e+04 -0.1 9.33e-02 4.2 3.65e-01 6.10e-01f 1\n", - " 33r 0.0000000e+00 3.02e+00 4.39e+04 -0.1 1.95e-01 3.7 9.67e-01 5.21e-01f 1\n", - " 34r 0.0000000e+00 3.02e+00 4.24e+04 -0.1 1.44e+00 3.2 5.07e-01 3.25e-02f 1\n", - " 35r 0.0000000e+00 3.01e+00 4.18e+04 -0.1 2.17e-01 2.8 5.65e-01 1.42e-02f 1\n", - " 36r 0.0000000e+00 2.97e+00 1.56e+04 -0.1 6.50e-02 3.2 1.00e+00 6.83e-01f 1\n", - " 37r 0.0000000e+00 2.95e+00 1.09e+03 -0.1 2.70e-02 3.6 1.00e+00 1.00e+00f 1\n", - " 38r 0.0000000e+00 2.94e+00 1.46e+02 -0.1 1.17e-02 4.0 1.00e+00 1.00e+00f 1\n", - " 39r 0.0000000e+00 2.91e+00 8.04e+03 -0.1 8.17e-02 3.6 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 2.90e+00 6.73e+03 -0.1 5.41e-02 4.0 1.00e+00 1.00e+00f 1\n", - " 41r 0.0000000e+00 2.90e+00 8.76e+03 -0.1 3.87e-01 3.5 3.28e-01 2.20e-01f 1\n", - " 42r 0.0000000e+00 2.84e+00 2.12e+03 -0.1 9.31e-02 3.0 1.00e+00 5.90e-01f 1\n", - " 43r 0.0000000e+00 2.56e+00 4.41e+04 -0.1 3.82e-01 2.6 7.50e-01 1.00e+00f 1\n", - " 44r 0.0000000e+00 2.55e+00 5.30e+04 -0.1 1.47e-01 3.9 1.00e+00 1.00e+00f 1\n", - " 45r 0.0000000e+00 2.55e+00 4.93e+04 -0.1 2.32e-02 4.3 1.00e+00 7.17e-02h 1\n", - " 46r 0.0000000e+00 2.53e+00 1.77e+03 -0.1 1.06e-01 3.8 1.00e+00 9.78e-01f 1\n", - " 47r 0.0000000e+00 2.53e+00 3.71e+03 -0.1 7.85e-01 3.4 1.23e-01 8.35e-02f 1\n", - " 48r 0.0000000e+00 2.47e+00 3.20e+03 -0.1 1.98e-01 2.9 7.65e-01 4.25e-01f 1\n", - " 49r 0.0000000e+00 2.47e+00 5.05e+04 -0.1 1.03e+00 3.3 2.95e-01 1.81e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 2.45e+00 2.59e+03 -0.1 2.09e-01 3.7 3.92e-01 6.81e-01f 1\n", - " 51r 0.0000000e+00 2.45e+00 2.46e+03 -0.1 2.25e-02 4.2 1.00e+00 6.31e-02h 1\n", - " 52r 0.0000000e+00 2.43e+00 3.25e+03 -0.1 4.33e-02 3.7 1.00e+00 1.00e+00f 1\n", - " 53r 0.0000000e+00 2.42e+00 3.21e+02 -0.1 2.48e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 54r 0.0000000e+00 2.41e+00 7.99e+03 -0.1 3.56e-01 3.6 5.59e-01 4.90e-01f 1\n", - " 55r 0.0000000e+00 2.41e+00 7.49e+03 -0.1 9.22e-01 3.2 1.98e-01 3.66e-02f 1\n", - " 56r 0.0000000e+00 2.40e+00 7.11e+03 -0.1 4.80e-01 2.7 4.23e-01 4.31e-02f 1\n", - " 57r 0.0000000e+00 2.32e+00 1.70e+04 -0.1 1.18e-01 3.1 1.00e+00 1.00e+00f 1\n", - " 58r 0.0000000e+00 2.30e+00 6.15e+04 -0.1 3.54e-01 3.5 4.03e-01 6.04e-01f 1\n", - " 59r 0.0000000e+00 2.29e+00 3.94e+04 -0.1 9.57e-02 4.0 5.05e-01 5.42e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 2.29e+00 3.12e+04 -0.1 3.62e-01 3.5 6.88e-01 1.78e-01f 1\n", - " 61r 0.0000000e+00 2.27e+00 1.33e+04 -0.1 5.82e-02 3.9 1.00e+00 1.00e+00f 1\n", - " 62r 0.0000000e+00 2.27e+00 2.71e+03 -0.1 3.08e-02 4.3 1.00e+00 1.00e+00f 1\n", - " 63r 0.0000000e+00 2.25e+00 5.28e+03 -0.1 8.83e-02 3.9 1.00e+00 1.00e+00f 1\n", - " 64r 0.0000000e+00 2.25e+00 4.95e+03 -0.1 4.83e-01 3.4 4.56e-01 4.34e-02f 1\n", - " 65r 0.0000000e+00 2.24e+00 4.53e+03 -0.1 1.38e-01 2.9 1.00e+00 9.89e-02f 1\n", - " 66r 0.0000000e+00 1.60e+00 2.00e+04 -0.1 4.62e-01 2.4 1.00e+00 1.00e+00f 1\n", - " 67r 0.0000000e+00 1.14e+00 7.06e+03 -0.1 2.24e-01 3.8 7.83e-01 8.07e-01f 1\n", - " 68r 0.0000000e+00 1.65e+00 5.16e+03 -0.1 7.71e-01 3.3 1.00e+00 8.55e-02f 1\n", - " 69r 0.0000000e+00 1.70e+00 4.70e+03 -0.1 2.48e-01 2.8 1.00e+00 8.29e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 2.84e-01 1.53e+04 -0.1 4.24e-02 2.3 1.00e+00 1.00e+00f 1\n", - " 71r 0.0000000e+00 1.95e-01 1.44e+03 -0.1 7.59e-02 1.8 1.00e+00 1.00e+00f 1\n", - " 72r 0.0000000e+00 5.19e+00 2.11e+02 -0.1 2.88e-01 1.4 1.00e+00 1.00e+00f 1\n", - " 73r 0.0000000e+00 7.58e-01 3.93e+02 -0.1 1.55e-01 1.8 1.00e+00 1.00e+00f 1\n", - " 74r 0.0000000e+00 4.53e+00 1.84e+02 -0.1 2.17e-01 1.3 1.00e+00 1.00e+00f 1\n", - " 75r 0.0000000e+00 2.11e+01 3.07e+02 -0.1 1.60e+01 - 9.80e-02 7.64e-02f 1\n", - " 76r 0.0000000e+00 1.21e+01 2.03e+02 -0.1 1.12e+00 0.8 1.00e+00 4.82e-01f 1\n", - " 77r 0.0000000e+00 5.72e-01 4.68e+01 -0.1 5.81e-01 1.3 1.00e+00 1.00e+00f 1\n", - " 78r 0.0000000e+00 1.89e+02 2.65e+04 -0.1 5.63e+00 0.8 1.43e-01 2.52e-01f 1\n", - " 79r 0.0000000e+00 1.19e+02 1.62e+04 -0.1 9.59e-01 2.1 5.45e-01 3.52e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 7.95e+00 1.09e+03 -0.1 2.21e+00 1.6 1.00e+00 1.00e+00h 1\n", - " 81r 0.0000000e+00 6.78e+00 3.13e+03 -0.1 4.50e-01 1.2 1.00e+00 9.95e-01f 1\n", - " 82r 0.0000000e+00 2.27e+02 2.60e+04 -0.1 5.31e+00 0.7 5.13e-01 9.90e-01f 1\n", - " 83r 0.0000000e+00 9.30e+01 9.46e+03 -0.1 2.71e-01 2.0 6.65e-01 7.62e-01f 1\n", - " 84r 0.0000000e+00 3.18e+01 3.17e+03 -0.1 4.87e-01 1.5 9.56e-01 9.33e-01f 1\n", - " 85r 0.0000000e+00 1.09e+01 6.57e+03 -0.1 4.99e-01 2.0 1.00e+00 1.00e+00f 1\n", - " 86r 0.0000000e+00 4.68e+00 2.21e+04 -0.1 1.86e-01 1.5 1.00e+00 1.00e+00f 1\n", - " 87r 0.0000000e+00 4.10e+00 1.86e+04 -0.1 6.03e-01 2.8 2.00e-01 1.67e-01h 1\n", - " 88r 0.0000000e+00 3.92e+00 1.75e+04 -0.1 2.75e+00 3.2 4.04e-02 5.60e-02h 1\n", - " 89r 0.0000000e+00 3.66e+00 1.84e+04 -0.1 9.52e-01 2.8 7.17e-03 1.77e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 3.50e+00 1.87e+04 -0.1 3.50e+00 3.2 4.23e-02 4.61e-02h 1\n", - " 91r 0.0000000e+00 2.05e+00 1.36e+04 -0.1 1.44e+00 2.7 5.13e-03 1.00e+00h 1\n", - " 92r 0.0000000e+00 6.96e-01 5.89e+04 -0.1 1.33e+00 2.2 4.03e-01 1.00e+00f 1\n", - " 93r 0.0000000e+00 6.46e-01 9.32e+03 -0.1 3.92e-02 4.5 1.00e+00 1.00e+00f 1\n", - " 94r 0.0000000e+00 9.51e-01 6.26e+04 -0.1 1.12e-01 4.0 5.83e-01 1.00e+00f 1\n", - " 95r 0.0000000e+00 9.51e-01 5.73e+04 -0.1 9.28e-01 3.5 2.97e-01 8.42e-02f 1\n", - " 96r 0.0000000e+00 1.04e+00 5.38e+04 -0.1 6.27e-01 3.0 1.00e+00 5.94e-02f 1\n", - " 97r 0.0000000e+00 1.96e-01 6.67e+03 -0.1 3.26e-02 2.6 1.00e+00 1.00e+00f 1\n", - " 98r 0.0000000e+00 5.16e-02 4.68e+02 -0.1 2.92e-02 2.1 1.00e+00 1.00e+00f 1\n", - " 99r 0.0000000e+00 4.82e-01 5.10e+01 -0.1 1.10e-01 1.6 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 1.68e+02 3.85e+04 -0.1 8.00e-01 1.1 4.97e-01 8.25e-01f 1\n", - " 101r 0.0000000e+00 1.09e+02 2.14e+04 -0.1 2.14e-01 3.4 7.85e-01 4.12e-01f 1\n", - " 102r 0.0000000e+00 3.54e+01 3.15e+04 -0.1 1.96e-01 3.8 7.56e-01 1.00e+00h 1\n", - " 103r 0.0000000e+00 3.46e+01 3.08e+04 -0.1 3.68e-01 3.3 1.00e+00 2.30e-02h 1\n", - " 104r 0.0000000e+00 1.13e+01 3.93e+04 -0.1 1.63e-01 3.7 1.00e+00 1.00e+00h 1\n", - " 105r 0.0000000e+00 5.08e+00 3.68e+04 -0.1 2.74e+00 3.3 2.23e-01 5.31e-02f 1\n", - " 106r 0.0000000e+00 1.25e+00 2.25e+04 -0.1 1.17e+00 2.8 7.04e-01 2.04e-01f 1\n", - " 107r 0.0000000e+00 8.13e-01 5.31e+03 -0.1 1.11e-01 2.3 1.00e+00 1.00e+00f 1\n", - " 108r 0.0000000e+00 3.90e-01 3.50e+03 -0.1 1.43e-01 2.7 8.60e-01 5.32e-01h 1\n", - " 109r 0.0000000e+00 1.94e-02 8.15e+01 -0.1 1.75e-02 2.3 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 2.09e-01 1.36e+01 -0.1 5.88e-02 1.8 1.00e+00 1.00e+00f 1\n", - " 111r 0.0000000e+00 3.34e-01 4.23e+01 -0.8 9.08e-02 1.3 1.00e+00 1.00e+00f 1\n", - " 112r 0.0000000e+00 3.99e+00 1.83e+02 -0.8 4.33e-01 0.8 1.00e+00 6.50e-01f 1\n", - " 113r 0.0000000e+00 5.56e-01 1.90e+02 -0.8 1.14e-01 1.2 1.00e+00 1.00e+00f 1\n", - " 114r 0.0000000e+00 1.09e+00 8.79e+01 -0.8 2.23e-01 0.8 1.00e+00 8.42e-01f 1\n", - " 115r 0.0000000e+00 1.41e+00 3.15e+02 -0.8 7.74e-01 0.3 1.00e+00 8.51e-01f 1\n", - " 116r 0.0000000e+00 3.59e+00 1.69e+02 -0.8 4.74e-01 0.7 7.60e-01 4.53e-01f 1\n", - " 117r 0.0000000e+00 2.64e+00 3.13e+02 -0.8 8.07e-01 0.2 8.59e-01 7.90e-01f 1\n", - " 118r 0.0000000e+00 1.85e+00 4.04e+02 -0.8 9.64e-01 - 1.00e+00 3.75e-01f 1\n", - " 119r 0.0000000e+00 1.11e+00 1.42e+02 -0.8 5.71e-01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 0.0000000e+00 5.72e-01 2.48e+01 -0.8 2.98e-01 - 1.00e+00 1.00e+00f 1\n", - " 121r 0.0000000e+00 4.36e-02 3.32e+00 -0.8 4.90e-02 - 1.00e+00 1.00e+00h 1\n", - " 122r 0.0000000e+00 1.43e+00 5.37e+02 -1.5 5.91e+00 - 2.51e-01 1.82e-01f 1\n", - " 123r 0.0000000e+00 1.32e+00 3.29e+02 -1.5 1.75e+00 - 5.10e-01 4.80e-01f 1\n", - " 124r 0.0000000e+00 9.87e-01 2.96e+02 -1.5 8.71e-01 - 4.94e-01 2.64e-01f 1\n", - " 125r 0.0000000e+00 6.42e-01 4.58e+02 -1.5 6.60e-01 - 9.56e-01 4.33e-01f 1\n", - " 126r 0.0000000e+00 1.72e-01 1.80e+02 -1.5 4.05e-01 - 1.00e+00 1.00e+00f 1\n", - " 127r 0.0000000e+00 2.84e-03 1.18e+02 -1.5 4.80e-02 - 1.00e+00 1.00e+00h 1\n", - " 128r 0.0000000e+00 2.07e-03 7.40e+00 -1.5 1.80e-02 - 1.00e+00 1.00e+00f 1\n", - " 129r 0.0000000e+00 2.07e-03 1.36e-01 -1.5 2.15e-03 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r 0.0000000e+00 1.05e-01 2.00e+02 -3.3 8.01e-01 - 9.31e-01 2.90e-01f 1\n", - " 131r 0.0000000e+00 1.99e-01 2.19e+02 -3.3 8.87e-01 - 7.05e-01 3.31e-01f 1\n", - " 132r 0.0000000e+00 2.04e-01 1.68e+02 -3.3 6.73e-01 - 4.76e-01 3.40e-01f 1\n", - " 133r 0.0000000e+00 1.73e-01 1.54e+02 -3.3 4.74e-01 - 4.82e-01 2.37e-01f 1\n", - " 134r 0.0000000e+00 1.31e-01 2.08e+02 -3.3 3.70e-01 - 7.27e-01 3.80e-01f 1\n", - " 135r 0.0000000e+00 9.69e-02 1.56e+02 -3.3 2.76e-01 - 4.51e-01 3.44e-01f 1\n", - " 136r 0.0000000e+00 6.55e-02 8.32e+01 -3.3 2.31e-01 - 2.28e-01 4.54e-01f 1\n", - " 137r 0.0000000e+00 4.44e-02 9.31e+01 -3.3 1.87e-01 - 5.15e-01 4.86e-01f 1\n", - " 138r 0.0000000e+00 4.14e-02 1.52e+02 -3.3 1.53e-01 - 3.40e-01 6.99e-02f 1\n", - " 139r 0.0000000e+00 3.92e-02 2.49e+02 -3.3 1.47e-01 - 8.97e-02 5.43e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r 0.0000000e+00 3.22e-02 2.20e+02 -3.3 1.44e-01 - 6.62e-02 2.08e-01f 1\n", - " 141r 0.0000000e+00 2.92e-02 2.11e+02 -3.3 1.34e-01 - 3.09e-01 1.00e-01f 1\n", - " 142r 0.0000000e+00 2.69e-02 1.93e+02 -3.3 1.30e-01 - 1.01e-01 8.31e-02f 1\n", - " 143r 0.0000000e+00 1.73e-02 1.06e+02 -3.3 1.26e-01 - 6.11e-01 6.66e-01f 1\n", - " 144r 0.0000000e+00 1.63e-02 4.07e+02 -3.3 1.04e-01 - 2.39e-01 5.95e-02f 1\n", - " 145r 0.0000000e+00 1.51e-02 5.59e+02 -3.3 1.01e-01 - 4.87e-01 7.88e-02f 1\n", - " 146r 0.0000000e+00 1.23e-02 4.62e+02 -3.3 9.89e-02 - 1.20e-01 2.32e-01f 1\n", - " 147r 0.0000000e+00 8.96e-03 2.51e+02 -3.3 9.26e-02 - 3.95e-01 4.64e-01f 1\n", - " 148r 0.0000000e+00 7.43e-03 2.75e+02 -3.3 7.55e-02 - 4.50e-01 2.02e-01f 1\n", - " 149r 0.0000000e+00 6.87e-03 4.67e+02 -3.3 7.41e-02 - 2.72e-01 8.21e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150r 0.0000000e+00 6.16e-03 4.39e+02 -3.3 7.08e-02 - 5.86e-02 1.15e-01f 1\n", - " 151r 0.0000000e+00 5.63e-03 3.95e+02 -3.3 6.85e-02 - 2.52e-01 9.57e-02f 1\n", - " 152r 0.0000000e+00 4.20e-03 2.52e+02 -3.3 6.67e-02 - 2.81e-01 5.30e-01f 1\n", - " 153r 0.0000000e+00 3.89e-03 4.68e+02 -3.3 5.86e-02 - 4.06e-01 8.04e-02f 1\n", - " 154r 0.0000000e+00 3.37e-03 3.22e+02 -3.3 5.67e-02 - 5.81e-02 1.60e-01f 1\n", - " 155r 0.0000000e+00 2.69e-03 2.41e+02 -3.3 5.42e-02 - 2.00e-01 2.94e-01f 1\n", - " 156r 0.0000000e+00 2.47e-03 2.55e+02 -3.3 4.79e-02 - 1.93e-01 8.91e-02f 1\n", - " 157r 0.0000000e+00 2.22e-03 4.70e+02 -3.3 4.65e-02 - 4.69e-01 1.15e-01f 1\n", - " 158r 0.0000000e+00 1.75e-03 2.63e+02 -3.3 4.50e-02 - 7.17e-02 3.25e-01f 1\n", - " 159r 0.0000000e+00 1.62e-03 2.68e+02 -3.3 4.12e-02 - 1.89e-01 8.27e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160r 0.0000000e+00 1.45e-03 2.38e+02 -3.3 3.96e-02 - 1.11e-01 1.18e-01f 1\n", - " 161r 0.0000000e+00 1.23e-03 2.73e+02 -3.3 3.77e-02 - 8.37e-02 1.92e-01f 1\n", - " 162r 0.0000000e+00 1.13e-03 2.44e+02 -3.3 3.34e-02 - 1.51e-01 9.29e-02f 1\n", - " 163r 0.0000000e+00 9.85e-04 2.15e+02 -3.3 3.32e-02 - 1.17e-01 1.49e-01f 1\n", - " 164r 0.0000000e+00 9.04e-04 1.86e+02 -3.3 3.10e-02 - 1.05e-01 8.97e-02f 1\n", - " 165r 0.0000000e+00 8.02e-04 1.77e+02 -3.3 2.77e-02 - 1.09e-01 1.27e-01f 1\n", - " 166r 0.0000000e+00 7.45e-04 1.55e+02 -3.3 2.43e-02 - 1.25e-01 7.61e-02f 1\n", - " 167r 0.0000000e+00 6.72e-04 1.41e+02 -3.3 1.99e-02 - 1.39e-01 1.03e-01f 1\n", - " 168r 0.0000000e+00 6.13e-04 1.91e+02 -3.3 1.30e-02 - 1.54e-01 8.93e-02f 1\n", - " 169r 0.0000000e+00 4.91e-04 1.16e+02 -3.3 6.00e-03 - 1.34e-01 2.02e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170r 0.0000000e+00 4.01e-07 4.92e+02 -3.3 4.13e-04 - 1.60e-01 1.00e+00f 1\n", - " 171r 0.0000000e+00 3.84e-07 1.39e+01 -3.3 5.72e-04 - 1.00e+00 1.00e+00f 1\n", - " 172r 0.0000000e+00 2.62e-07 8.19e-04 -3.3 2.30e-05 - 1.00e+00 1.00e+00h 1\n", - " 173r 0.0000000e+00 1.11e-05 4.74e+01 -5.0 3.88e-03 - 1.00e+00 7.86e-01f 1\n", - " 174r 0.0000000e+00 6.15e-07 6.03e-02 -5.0 7.40e-04 - 1.00e+00 1.00e+00f 1\n", - " 175r 0.0000000e+00 1.29e-08 1.33e-05 -5.0 9.35e-05 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 175\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.4940636508525328e-09 1.2858206943633377e-08\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.4940636508525328e-09 1.2858206943633377e-08\n", - "\n", - "\n", - "Number of objective function evaluations = 179\n", - "Number of objective gradient evaluations = 9\n", - "Number of equality constraint evaluations = 179\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 177\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 175\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 59.865\n", - "Total CPU secs in NLP function evaluations = 8.511\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Output this time: [0.000199428298248, 4.15897677145134e-05, 4.18875640037504e-05, 4.240081547472943e-05, 4.285536903136261e-05, 4.3253654478415494e-05, 4.3610011184206695e-05, 4.392602313007304e-05, 4.4221084671629736e-05, 4.449824881723668e-05, 4.478729399562983e-05, 4.5102014114971564e-05, 4.5498493722466465e-05, 4.602352080996476e-05, 4.679751463216151e-05, 4.796408183352939e-05, 4.978207989993139e-05, 5.268810550634699e-05, 5.718589938173251e-05, 6.457307226767105e-05, 7.56758961667779e-05, 9.400835698714351e-05, 0.00012064927061089876, 0.00016362492032851207, 0.00022431895705843217, 0.0003169261684327918, 0.0004461940059715864, 0.0006274650105156253, 0.0008843573815780081, 0.0012099570868426466, 0.0016884424187817526, 0.0022396700652917356, 0.0030730274090683468, 0.003976475206209571, 0.005325445816718029, 0.006786844244208956, 0.008805524053321526, 0.01117025121467202, 0.014006122631551737, 0.018429882880389013, 0.022760902442363118, 0.026857718442132614, 0.030686234002280384, 0.034231760318089464, 0.03749231740108029, 0.040474288948570525, 0.043189410798811584, 0.04565266464605092, 0.047880803918260106, 0.04989132838072524, 0.051701780048639255, 0.05332927007204196, 0.05479017170521331, 0.056099932355260576, 0.057272970475288565, 0.058322632293157685, 0.05926119008779919, 0.06009986865165571, 0.06084889020508525, 0.06151753070708179, 0.06211418248778309, 0.06264641959403565, 0.06312106332277481, 0.06354424621596279, 0.06392147337767733, 0.06425768040243612, 0.06455728751410507, 0.06482424973679986, 0.06506210307541968, 293.15, 293.15002672223943, 293.1500646169796, 293.15013142263916, 293.15023862179027, 293.1503887845984, 293.15061566511133, 293.1508884021246, 293.15129773262817, 293.15173799868256, 293.1524067663874, 293.1530757862031, 293.15408462420737, 293.15507983285147, 293.15648723514744, 293.1579865356514, 293.1598773561129, 293.16331771497465, 293.1662200628988, 293.16571191183255, 293.1647779144381, 293.16375055636354, 293.1626902372766, 293.1616373066353, 293.1606179421676, 293.15964850566036, 293.15873852037186, 293.15789275231805, 293.1571126864461, 293.15639758102463, 293.155745223322, 293.1551524705282, 293.15461563556534, 293.15413076004876, 293.1536938049962, 293.1533007816766, 293.152947838756, 293.15263131787447, 293.15234778637904, 293.15209405377914, 293.1518671767667, 293.1516644562706, 293.15148342921134, 293.15132185683484, 293.15117771100967, 293.15104915948496, 293.1509345508086, 293.1508323993981, 293.1507413710946, 293.15066026941463, 293.1505880226276, 293.1505236717285, 293.15046635932913, 293.15041531945946, 293.1503698682546, 293.1503293954829, 293.1502933568678, 293.15026126714724, 293.1502326938179, 293.15020725150464, 293.1501845969045, 293.15016442425235, 293.1501464612584, 293.1501304654744, 293.1501162210448, 293.1501035358054, 293.1500922386924, 293.1500821774328, 293.150073216483, 293.15, 293.1500008850061, 293.14999999672267, 293.14999999654225, 293.15000000501107, 293.1500000203136, 293.15000004873286, 293.1500000983022, 293.15000018811014, 293.15000033841693, 293.15000060366253, 293.1500010352993, 293.15000177828404, 293.1500029709136, 293.1500049650516, 293.1500081629004, 293.1500133042997, 293.1500216116973, 293.150034279568, 293.15005486075336, 293.1500842920516, 293.1501314866888, 293.1501947225675, 293.1502920337216, 293.15041656272916, 293.1505952792698, 293.1508225870625, 293.15111803659283, 293.1515112670661, 293.1519614346976, 293.1526112667583, 293.1532653461155, 293.1542797354805, 293.15521933893535, 293.1566897203701, 293.15807532090037, 293.16016872576745, 293.16364821219247, 293.1660664542623, 293.1654116165671, 293.16447834123494, 293.16346262524434, 293.1624201298151, 293.16138810345626, 293.1603907667539, 293.1594432581059, 293.1585543557336, 293.15772839556985, 293.1569666397967, 293.1562682596062, 293.15563104242204, 293.15505190017757, 293.1545272329538, 293.15405318701943, 293.1536258356205, 293.1532413032581, 293.15289584869925, 293.1525859179764, 293.15230817569676, 293.15205952082385, 293.1518370914927, 293.1516382622276, 293.15146063604396, 293.15130203325407, 293.1511604783004, 293.15103418556953, 293.15092154486535, 293.1508211070147, 293.15073156992577]\n", - "This scenario: {'fitted_transport_coefficient': {0: 209.88}, 'ua': {0: 15.424948470398375}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.0987999999999998, 'ua': 0.15424948470398375}, 'scena-name': [0]}\n", - "The inlet feed density is 41.0275814575221 [mol/m3]\n", - "the number of timepoints is 68\n", - "The init point is ./priors/20210916_feed313_bath293.csv\n", - "Model # of time grid is 69 , initial point # of time grid is 69\n", - "temp_feed is fixed at 313.15\n", - "yfeed is fixed at 0.15\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 7.30e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (2556844)\n", - " 1 0.0000000e+00 7.29e+01 3.62e+02 -1.0 5.56e+00 - 6.40e-01 1.78e-03h 1\n", - "Reallocating memory for MA57: lfact (3096422)\n", - " 2 0.0000000e+00 7.28e+01 9.71e+06 -1.0 5.58e+00 - 4.80e-01 1.77e-05h 1\n", - "Reallocating memory for MA57: lfact (3612737)\n", - " 3 0.0000000e+00 3.06e+01 9.45e+06 -1.0 1.52e+00 - 2.71e-02 7.63e-01f 1\n", - " 4 0.0000000e+00 9.31e+00 7.38e+06 -1.0 8.05e-01 - 2.19e-01 1.00e+00h 1\n", - " 5 0.0000000e+00 2.83e+00 4.27e+06 -1.0 1.02e+00 - 4.22e-01 1.00e+00h 1\n", - " 6 0.0000000e+00 8.62e-01 2.09e+06 -1.0 3.89e-01 - 5.10e-01 1.00e+00h 1\n", - " 7 0.0000000e+00 3.77e-01 1.33e+06 -1.0 4.85e-01 - 3.65e-01 7.31e-01h 1\n", - "Reallocating memory for MA57: lfact (3854094)\n", - " 8 0.0000000e+00 1.62e-01 1.00e+06 -1.0 7.84e-01 - 4.19e-01 7.46e-01h 1\n", - " 9 0.0000000e+00 1.62e-01 1.00e+06 -1.0 6.64e+00 - 2.11e-07 2.47e-07f 2\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 1.62e-01 1.00e+03 -0.8 0.00e+00 - 0.00e+00 3.11e-07R 4\n", - " 11r 0.0000000e+00 1.39e-01 9.94e+02 -0.8 1.32e+02 - 5.81e-03 1.21e-03f 1\n", - " 12r 0.0000000e+00 9.19e-02 9.65e+02 -0.8 5.61e+00 - 3.42e-02 5.61e-03f 1\n", - " 13r 0.0000000e+00 4.83e-02 8.35e+02 -0.8 1.16e+00 - 1.47e-01 3.63e-02f 1\n", - " 14r 0.0000000e+00 2.84e-01 5.84e+02 -0.8 1.15e+00 - 5.75e-01 1.86e-01f 1\n", - " 15r 0.0000000e+00 1.01e+01 4.94e+03 -0.8 1.10e+00 - 4.05e-01 1.00e+00f 1\n", - " 16r 0.0000000e+00 3.10e+00 2.06e+03 -0.8 7.06e-01 - 4.66e-01 1.00e+00f 1\n", - " 17r 0.0000000e+00 1.00e+00 3.03e+04 -0.8 4.67e-01 - 1.35e-01 1.00e+00f 1\n", - " 18r 0.0000000e+00 1.88e-01 7.94e+03 -0.8 7.33e-02 2.0 5.79e-01 1.00e+00f 1\n", - " 19r 0.0000000e+00 1.20e+00 2.94e+03 -0.8 1.25e+00 - 6.04e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 1.36e+00 1.01e+04 -0.8 4.84e-01 - 2.54e-01 1.00e+00f 1\n", - "Reallocating memory for MA57: lfact (4435186)\n", - " 21r 0.0000000e+00 1.20e-01 1.65e+03 -0.8 6.59e-02 2.4 1.00e+00 1.00e+00f 1\n", - " 22r 0.0000000e+00 5.71e-03 1.22e+02 -0.8 3.71e-02 1.9 1.00e+00 1.00e+00f 1\n", - " 23r 0.0000000e+00 5.87e-01 2.52e+02 -0.8 5.72e-01 - 7.23e-01 8.38e-01f 1\n", - " 24r 0.0000000e+00 1.18e+00 8.13e+02 -0.8 8.63e-01 - 1.00e+00 1.00e+00f 1\n", - " 25r 0.0000000e+00 6.29e-01 9.63e+01 -0.8 3.63e-01 - 9.49e-01 1.00e+00f 1\n", - " 26r 0.0000000e+00 5.07e+00 1.49e+02 -0.8 2.00e+00 - 7.82e-01 5.55e-01f 1\n", - " 27r 0.0000000e+00 2.93e+00 2.32e+02 -0.8 6.45e-01 - 1.00e+00 1.00e+00f 1\n", - " 28r 0.0000000e+00 5.32e-01 2.44e+01 -0.8 2.30e-01 - 1.00e+00 1.00e+00h 1\n", - " 29r 0.0000000e+00 1.62e-01 4.64e+00 -0.8 1.02e-01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 1.49e+00 6.80e+02 -1.5 4.39e+00 - 3.51e-01 2.70e-01f 1\n", - " 31r 0.0000000e+00 1.08e+00 6.58e+02 -1.5 1.24e+00 - 4.94e-01 5.06e-01f 1\n", - " 32r 0.0000000e+00 8.31e-01 4.72e+02 -1.5 6.82e-01 - 3.90e-01 2.64e-01f 1\n", - " 33r 0.0000000e+00 6.36e-01 4.28e+02 -1.5 4.89e-01 - 3.60e-01 2.56e-01f 1\n", - " 34r 0.0000000e+00 4.69e-01 3.08e+02 -1.5 3.55e-01 - 6.28e-01 2.73e-01f 1\n", - " 35r 0.0000000e+00 1.38e-01 1.54e+02 -1.5 2.60e-01 - 1.00e+00 1.00e+00f 1\n", - " 36r 0.0000000e+00 2.96e-03 8.89e+01 -1.5 5.78e-02 - 1.00e+00 1.00e+00h 1\n", - " 37r 0.0000000e+00 2.06e-03 3.10e+00 -1.5 1.27e-02 - 1.00e+00 1.00e+00f 1\n", - " 38r 0.0000000e+00 2.06e-03 6.75e-01 -1.5 1.47e-03 - 1.00e+00 1.00e+00h 1\n", - " 39r 0.0000000e+00 9.09e-02 1.80e+02 -2.2 6.57e-01 - 1.00e+00 3.32e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 1.83e-01 1.64e+02 -2.2 6.43e-01 - 1.00e+00 5.05e-01f 1\n", - " 41r 0.0000000e+00 1.65e-01 9.37e+01 -2.2 4.26e-01 - 1.00e+00 6.17e-01f 1\n", - " 42r 0.0000000e+00 8.61e-02 7.66e+01 -2.2 2.52e-01 - 1.00e+00 7.48e-01f 1\n", - " 43r 0.0000000e+00 4.52e-02 7.01e+01 -2.2 1.77e-01 - 1.00e+00 6.86e-01f 1\n", - " 44r 0.0000000e+00 1.84e-02 1.45e+02 -2.2 1.19e-01 - 5.71e-01 1.00e+00f 1\n", - " 45r 0.0000000e+00 5.55e-03 6.13e+01 -2.2 6.47e-02 - 9.25e-01 1.00e+00h 1\n", - " 46r 0.0000000e+00 6.00e-04 1.99e+01 -2.2 1.11e-02 - 1.00e+00 1.00e+00h 1\n", - " 47r 0.0000000e+00 5.96e-04 3.65e+00 -2.2 5.95e-03 - 1.00e+00 1.00e+00h 1\n", - " 48r 0.0000000e+00 5.96e-04 4.69e-01 -2.2 4.50e-04 - 1.00e+00 1.00e+00h 1\n", - " 49r 0.0000000e+00 5.96e-04 1.52e-03 -2.2 2.43e-05 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 1.33e-02 2.83e+02 -5.0 5.24e-01 - 9.47e-01 2.08e-01f 1\n", - " 51r 0.0000000e+00 1.54e-02 2.62e+02 -5.0 1.91e-01 - 1.00e+00 4.14e-01f 1\n", - " 52r 0.0000000e+00 1.20e-02 2.95e+02 -5.0 1.07e-01 - 1.00e+00 3.20e-01f 1\n", - " 53r 0.0000000e+00 8.41e-03 2.25e+02 -5.0 8.06e-02 - 7.58e-01 4.22e-01f 1\n", - " 54r 0.0000000e+00 7.43e-03 1.89e+02 -5.0 6.67e-02 - 9.33e-02 1.28e-01f 1\n", - " 55r 0.0000000e+00 6.85e-03 1.76e+02 -5.0 6.39e-02 - 9.60e-02 8.23e-02f 1\n", - " 56r 0.0000000e+00 5.01e-03 4.53e+02 -5.0 6.16e-02 - 3.12e-02 3.54e-01f 1\n", - " 57r 0.0000000e+00 4.51e-03 3.93e+02 -5.0 5.35e-02 - 3.46e-01 1.07e-01f 1\n", - " 58r 0.0000000e+00 4.10e-03 3.62e+02 -5.0 4.83e-02 - 4.29e-02 9.62e-02f 1\n", - " 59r 0.0000000e+00 3.94e-03 5.24e+02 -5.0 4.62e-02 - 1.57e-02 4.05e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 3.74e-03 5.06e+02 -5.0 4.54e-02 - 2.52e-01 5.19e-02f 1\n", - " 61r 0.0000000e+00 3.54e-03 4.77e+02 -5.0 4.49e-02 - 6.38e-02 5.54e-02f 1\n", - " 62r 0.0000000e+00 3.39e-03 4.56e+02 -5.0 4.49e-02 - 1.04e-02 4.25e-02f 1\n", - " 63r 0.0000000e+00 3.34e-03 4.49e+02 -5.0 4.33e-02 - 1.28e-01 1.64e-02f 1\n", - " 64r 0.0000000e+00 3.14e-03 4.22e+02 -5.0 4.38e-02 - 3.58e-02 6.06e-02f 1\n", - " 65r 0.0000000e+00 3.12e-03 4.18e+02 -5.0 4.38e-02 - 2.53e-02 8.56e-03f 1\n", - " 66r 0.0000000e+00 2.97e-03 3.98e+02 -5.0 4.31e-02 - 3.83e-02 4.84e-02f 1\n", - " 67r 0.0000000e+00 2.53e-03 3.31e+02 -5.0 4.23e-02 - 5.22e-02 1.69e-01f 1\n", - " 68r 0.0000000e+00 2.27e-03 2.95e+02 -5.0 3.99e-02 - 1.01e-01 1.09e-01f 1\n", - " 69r 0.0000000e+00 2.04e-03 3.01e+02 -5.0 3.91e-02 - 6.70e-02 1.10e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 1.98e-03 2.91e+02 -5.0 3.74e-02 - 3.25e-02 3.18e-02f 1\n", - " 71r 0.0000000e+00 1.91e-03 2.82e+02 -5.0 3.05e-02 - 3.75e-02 3.41e-02f 1\n", - " 72r 0.0000000e+00 1.85e-03 2.76e+02 -5.0 2.87e-02 - 5.40e-02 3.23e-02f 1\n", - " 73r 0.0000000e+00 1.79e-03 3.01e+02 -5.0 2.88e-02 - 4.61e-02 3.27e-02f 1\n", - " 74r 0.0000000e+00 1.75e-03 2.89e+02 -5.0 3.01e-02 - 9.55e-03 2.48e-02f 1\n", - " 75r 0.0000000e+00 1.72e-03 3.85e+02 -5.0 3.16e-02 - 8.58e-03 1.59e-02f 1\n", - " 76r 0.0000000e+00 1.64e-03 3.68e+02 -5.0 3.00e-02 - 5.21e-02 4.44e-02f 1\n", - " 77r 0.0000000e+00 1.61e-03 3.62e+02 -5.0 3.14e-02 - 1.17e-02 1.92e-02f 1\n", - " 78r 0.0000000e+00 1.59e-03 3.57e+02 -5.0 2.95e-02 - 1.50e-02 1.48e-02f 1\n", - " 79r 0.0000000e+00 1.56e-03 3.51e+02 -5.0 2.97e-02 - 9.65e-03 1.75e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 1.53e-03 3.45e+02 -5.0 3.06e-02 - 1.25e-02 2.19e-02f 1\n", - " 81r 0.0000000e+00 1.47e-03 3.32e+02 -5.0 3.11e-02 - 3.38e-02 4.10e-02f 1\n", - " 82r 0.0000000e+00 1.33e-03 3.04e+02 -5.0 2.76e-02 - 6.24e-02 9.47e-02f 1\n", - " 83r 0.0000000e+00 1.21e-03 2.81e+02 -5.0 2.77e-02 - 5.33e-02 1.01e-01f 1\n", - " 84r 0.0000000e+00 1.18e-03 2.75e+02 -5.0 2.60e-02 - 2.35e-02 1.81e-02f 1\n", - " 85r 0.0000000e+00 1.14e-03 2.64e+02 -5.0 2.62e-02 - 5.90e-02 3.77e-02f 1\n", - " 86r 0.0000000e+00 1.11e-03 2.55e+02 -5.0 2.57e-02 - 8.08e-02 2.89e-02f 1\n", - " 87r 0.0000000e+00 1.06e-03 2.45e+02 -5.0 2.10e-02 - 3.47e-02 4.27e-02f 1\n", - " 88r 0.0000000e+00 1.03e-03 2.34e+02 -5.0 1.73e-02 - 6.04e-02 2.83e-02f 1\n", - " 89r 0.0000000e+00 1.01e-03 2.30e+02 -5.0 1.92e-02 - 1.28e-02 1.96e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 9.96e-04 2.27e+02 -5.0 1.82e-02 - 1.41e-02 1.51e-02f 1\n", - " 91r 0.0000000e+00 9.71e-04 2.23e+02 -5.0 1.82e-02 - 2.38e-02 2.53e-02f 1\n", - " 92r 0.0000000e+00 9.56e-04 2.43e+02 -5.0 1.97e-02 - 1.28e-02 1.59e-02f 1\n", - " 93r 0.0000000e+00 9.41e-04 2.40e+02 -5.0 1.97e-02 - 1.18e-02 1.53e-02f 1\n", - " 94r 0.0000000e+00 9.22e-04 4.14e+02 -5.0 2.04e-02 - 7.34e-03 2.08e-02f 1\n", - " 95r 0.0000000e+00 8.79e-04 3.94e+02 -5.0 2.00e-02 - 4.84e-02 4.77e-02f 1\n", - " 96r 0.0000000e+00 8.71e-04 3.91e+02 -5.0 2.01e-02 - 4.55e-03 8.31e-03f 1\n", - " 97r 0.0000000e+00 8.51e-04 3.78e+02 -5.0 1.98e-02 - 6.00e-02 2.41e-02f 1\n", - " 98r 0.0000000e+00 8.01e-04 3.58e+02 -5.0 1.82e-02 - 1.96e-02 5.93e-02f 1\n", - " 99r 0.0000000e+00 7.85e-04 3.49e+02 -5.0 1.78e-02 - 6.71e-02 2.01e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 7.66e-04 3.40e+02 -5.0 1.24e-02 - 2.07e-02 2.49e-02f 1\n", - " 101r 0.0000000e+00 7.54e-04 3.35e+02 -5.0 8.42e-03 - 1.36e-02 1.49e-02f 1\n", - " 102r 0.0000000e+00 7.34e-04 3.20e+02 -5.0 6.59e-03 - 5.45e-02 2.71e-02f 1\n", - " 103r 0.0000000e+00 7.23e-04 3.13e+02 -5.0 4.61e-03 - 1.70e-02 1.54e-02f 1\n", - " 104r 0.0000000e+00 7.13e-04 3.14e+02 -5.0 6.23e-03 - 1.09e-02 1.37e-02f 1\n", - " 105r 0.0000000e+00 7.05e-04 3.83e+02 -5.0 3.73e-03 - 5.63e-03 1.07e-02f 1\n", - " 106r 0.0000000e+00 6.95e-04 5.94e+02 -5.0 2.70e-03 - 6.37e-03 1.47e-02f 1\n", - " 107r 0.0000000e+00 6.90e-04 5.80e+02 -5.0 3.62e-03 - 2.57e-02 7.11e-03f 1\n", - " 108r 0.0000000e+00 6.79e-04 5.75e+02 -5.0 4.58e-03 - 3.02e-03 1.51e-02f 1\n", - " 109r 0.0000000e+00 6.71e-04 5.77e+02 -5.0 4.03e-03 - 5.42e-03 1.16e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 6.66e-04 5.73e+02 -5.0 4.19e-03 - 8.33e-03 8.85e-03f 1\n", - " 111r 0.0000000e+00 5.91e-04 1.41e+03 -5.0 6.62e-04 - 2.77e-03 1.12e-01f 1\n", - " 112r 0.0000000e+00 1.24e-07 5.13e+01 -5.0 2.77e-04 - 1.55e-01 1.00e+00f 1\n", - " 113r 0.0000000e+00 4.23e-10 3.58e-03 -5.0 2.01e-05 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 113\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 1.6753345847911372e-10 4.2310865921990626e-10\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 1.6753345847911372e-10 4.2310865921990626e-10\n", - "\n", - "\n", - "Number of objective function evaluations = 119\n", - "Number of objective gradient evaluations = 12\n", - "Number of equality constraint evaluations = 119\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 115\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 113\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 18.868\n", - "Total CPU secs in NLP function evaluations = 5.499\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Output this time: [0.000199428298248, 4.156079776071428e-05, 4.186773815329995e-05, 4.2386058726678675e-05, 4.2845086899769506e-05, 4.324631597604595e-05, 4.3604997794626435e-05, 4.392195618071767e-05, 4.4216772557671385e-05, 4.449192990913498e-05, 4.4776188258637974e-05, 4.508279218725344e-05, 4.546418260400839e-05, 4.5966399570083096e-05, 4.6700446000677244e-05, 4.7808383297473426e-05, 4.952654540999051e-05, 5.228707422734509e-05, 5.654913020678204e-05, 6.35865614242402e-05, 7.417176838994665e-05, 9.170366635986689e-05, 0.00011730731790815093, 0.0001585907702813316, 0.00021743721516521912, 0.0003068132253206722, 0.00043318845709654604, 0.000608981812875936, 0.0008617458306216008, 0.0011795627626253855, 0.0016518853859392307, 0.0021946802586777017, 0.0030171224022230796, 0.003915324152162183, 0.005243160812283472, 0.006709339281233267, 0.008688747014108374, 0.011077602526129167, 0.013846889581147466, 0.018277745110602202, 0.02263825105988997, 0.026764280603760862, 0.030620096591922028, 0.03419019470406075, 0.03747223688861925, 0.04047253956858535, 0.043202950986590605, 0.04567867017433706, 0.04791672277133468, 0.04993490255736807, 0.05175104602994686, 0.05338254604639768, 0.05484603709396614, 0.05615720339384366, 0.057330674348905424, 0.05837998144716698, 0.059317557720894185, 0.06015476597741282, 0.06090194577944851, 0.06156847192659398, 0.06216281923781122, 0.06269262994776799, 0.06316478114599738, 0.06358545050927121, 0.0639601791795058, 0.06429393107789595, 0.06459114826244183, 0.06485580216175661, 0.06509144067621148, 293.15, 293.1500295069122, 293.15007219183445, 293.150146962884, 293.1502693819347, 293.15043953121744, 293.150700883735, 293.15101317109793, 293.15148662323946, 293.15199565765204, 293.152769333842, 293.1535505037803, 293.1547143203214, 293.15588804853627, 293.1575031043283, 293.1592861419051, 293.1614314058607, 293.165430471938, 293.1689762311724, 293.16845615972295, 293.1673616159324, 293.16615303195476, 293.1649034409876, 293.1636615526709, 293.16245893322105, 293.1613152887635, 293.1602420742391, 293.15924501344136, 293.15832588421773, 293.1574837919759, 293.1567160809705, 293.15601898559856, 293.15538809402386, 293.1548186755069, 293.15430590854896, 293.15384503692286, 293.15343147322307, 293.15306086451096, 293.1527291306552, 293.15243248323844, 293.1521674308473, 293.15193077494354, 293.1517195994783, 293.1515312565064, 293.15136334945015, 293.15121371519245, 293.1510804058307, 293.1509616706707, 293.15085593884464, 293.1507618028038, 293.1506780028323, 293.1506034126566, 293.15053702617456, 293.15047794528977, 293.1504253688161, 293.1503785823972, 293.15033694938234, 293.15029990258734, 293.15026693687633, 293.1502376024933, 293.150211499079, 293.15018827031076, 293.1501675991052, 293.1501492033312, 293.15013283197993, 293.1501182617479, 293.15010529398876, 293.15009375199725, 293.1500834785887, 293.15, 293.1500010327979, 293.1499999960621, 293.14999999526043, 293.15000000449504, 293.15000002109593, 293.15000005200625, 293.1500001059197, 293.15000020390016, 293.15000036817366, 293.150000658732, 293.1500011333336, 293.15000194975147, 293.150003267607, 293.1500054665074, 293.15000901808173, 293.15001470958856, 293.1500239832187, 293.15003809311037, 293.150061196215, 293.15009428055373, 293.1501475684377, 293.1502194283797, 293.15032987285537, 293.1504728588976, 293.15067642118026, 293.15093964804174, 293.1512771051877, 293.15173502265213, 293.152251839674, 293.15300941248825, 293.15376750032203, 293.1549458128589, 293.15604834832726, 293.1577445327024, 293.15938979183016, 293.16176447069614, 293.1658185225592, 293.1688290731366, 293.1681073449517, 293.1670128857274, 293.16581753063434, 293.16458858976586, 293.1633710607664, 293.16219416972734, 293.16107616180994, 293.160027603312, 293.1590537056358, 293.1581559815509, 293.15733343294534, 293.156583404256, 293.1559021947842, 293.15528549592835, 293.1547287007766, 293.15422712046865, 293.1537761324698, 293.15337127922356, 293.1530083307876, 293.1526833215037, 293.15239256812947, 293.1521326749179, 293.15190052969194, 293.1516932938875, 293.1515083887393, 293.1513434791864, 293.15119645663236, 293.1510654213603, 293.15094866516273, 293.1508446545582]\n", - "This scenario: {'fitted_transport_coefficient': {0: 212}, 'ua': {0: 15.270698985694391}, 'jac-index': {'fitted_transport_coefficient': [0], 'ua': [0]}, 'eps-abs': {'fitted_transport_coefficient': 2.12, 'ua': 0.15270698985694392}, 'scena-name': [0]}\n", - "The inlet feed density is 41.0275814575221 [mol/m3]\n", - "the number of timepoints is 68\n", - "The init point is ./priors/20210916_feed313_bath293.csv\n", - "Model # of time grid is 69 , initial point # of time grid is 69\n", - "temp_feed is fixed at 313.15\n", - "yfeed is fixed at 0.15\n", - "Ipopt 3.13.2: linear_solver=ma57\n", - "halt_on_ampl_error=yes\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.13.2, running with linear solver ma57.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 93745\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 51003\n", - "\n", - "Total number of variables............................: 23360\n", - " variables with only lower bounds: 0\n", - " variables with lower and upper bounds: 16460\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 23360\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 7.30e+01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - "Reallocating memory for MA57: lfact (2556557)\n", - " 1 0.0000000e+00 7.28e+01 3.62e+02 -1.0 5.56e+00 - 6.40e-01 1.78e-03h 1\n", - "Reallocating memory for MA57: lfact (3084439)\n", - " 2 0.0000000e+00 7.28e+01 9.70e+06 -1.0 5.58e+00 - 4.79e-01 1.77e-05h 1\n", - "Reallocating memory for MA57: lfact (3579398)\n", - " 3 0.0000000e+00 3.01e+01 9.44e+06 -1.0 1.52e+00 - 2.71e-02 7.76e-01f 1\n", - " 4 0.0000000e+00 9.15e+00 7.35e+06 -1.0 8.11e-01 - 2.21e-01 1.00e+00h 1\n", - " 5 0.0000000e+00 2.78e+00 4.28e+06 -1.0 1.05e+00 - 4.18e-01 1.00e+00h 1\n", - " 6 0.0000000e+00 8.46e-01 1.81e+06 -1.0 3.86e-01 - 5.77e-01 1.00e+00h 1\n", - " 7r 0.0000000e+00 8.46e-01 1.00e+03 -0.1 0.00e+00 - 0.00e+00 4.68e-07R 2\n", - " 8r 0.0000000e+00 6.17e-01 9.86e+02 -0.1 7.94e+02 - 1.42e-02 1.05e-03f 1\n", - "Reallocating memory for MA57: lfact (3808588)\n", - " 9r 0.0000000e+00 3.07e-01 8.99e+02 -0.1 1.38e+01 - 1.71e-01 1.41e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10r 0.0000000e+00 5.43e+00 6.44e+02 -0.1 3.06e+00 - 2.74e-01 1.85e-01f 1\n", - " 11r 0.0000000e+00 1.74e+02 1.29e+04 -0.1 2.61e+00 - 4.82e-01 6.00e-01f 1\n", - " 12r 0.0000000e+00 6.99e+01 4.36e+03 -0.1 9.48e-01 2.0 7.96e-01 7.95e-01f 1\n", - " 13r 0.0000000e+00 4.40e+01 2.11e+04 -0.1 7.83e-01 2.4 4.94e-01 4.37e-01f 1\n", - " 14r 0.0000000e+00 1.74e+01 1.27e+05 -0.1 1.76e+00 1.9 7.66e-01 8.46e-01f 1\n", - "Reallocating memory for MA57: lfact (4543108)\n", - " 15r 0.0000000e+00 1.73e+01 1.26e+05 -0.1 1.63e+00 3.3 2.59e-02 6.70e-03h 1\n", - " 16r 0.0000000e+00 1.29e+01 9.30e+04 -0.1 4.76e-01 2.8 1.35e-02 2.87e-01h 1\n", - " 17r 0.0000000e+00 1.25e+01 8.99e+04 -0.1 1.70e+00 3.2 2.58e-02 3.36e-02h 1\n", - " 18r 0.0000000e+00 1.06e+01 7.54e+04 -0.1 1.98e+00 2.7 3.13e-02 1.65e-01h 1\n", - " 19r 0.0000000e+00 6.13e+00 3.80e+04 -0.1 2.74e-01 3.2 6.80e-01 5.64e-01h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20r 0.0000000e+00 5.50e+00 3.37e+04 -0.1 2.53e+00 2.7 3.66e-02 1.14e-01h 1\n", - " 21r 0.0000000e+00 4.33e+00 2.48e+04 -0.1 2.50e+00 2.2 1.37e-01 2.68e-01h 1\n", - " 22r 0.0000000e+00 4.20e+00 2.40e+04 -0.1 1.19e+00 3.6 1.27e-02 3.18e-02h 1\n", - " 23r 0.0000000e+00 3.95e+00 2.25e+04 -0.1 1.77e+00 3.1 2.91e-02 6.52e-02h 1\n", - " 24r 0.0000000e+00 3.81e+00 2.16e+04 -0.1 1.15e+00 3.5 1.61e-02 3.86e-02h 1\n", - " 25r 0.0000000e+00 3.50e+00 2.01e+04 -0.1 1.49e+00 3.0 2.45e-02 1.06e-01h 1\n", - " 26r 0.0000000e+00 3.22e+00 5.74e+04 -0.1 7.75e-01 3.4 2.02e-02 2.45e-01h 1\n", - "Reallocating memory for MA57: lfact (4937035)\n", - " 27r 0.0000000e+00 3.19e+00 5.57e+04 -0.1 1.07e+00 3.9 1.05e-02 2.35e-02h 1\n", - " 28r 0.0000000e+00 3.16e+00 2.57e+04 -0.1 3.12e-01 4.3 3.36e-02 1.00e+00h 1\n", - " 29r 0.0000000e+00 3.14e+00 9.08e+03 -0.1 8.98e-02 3.8 1.00e+00 7.74e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30r 0.0000000e+00 3.14e+00 4.81e+03 -0.1 3.57e-02 4.2 7.94e-01 1.00e+00f 1\n", - " 31r 0.0000000e+00 3.13e+00 2.67e+03 -0.1 1.13e-01 3.8 1.00e+00 8.47e-01f 1\n", - " 32r 0.0000000e+00 3.11e+00 2.35e+03 -0.1 5.25e-02 3.3 1.00e+00 2.26e-01f 1\n", - " 33r 0.0000000e+00 3.10e+00 4.14e+03 -0.1 1.93e-02 3.7 1.00e+00 1.00e+00f 1\n", - " 34r 0.0000000e+00 3.04e+00 3.24e+04 -0.1 1.63e-01 3.2 6.13e-01 1.00e+00f 1\n", - " 35r 0.0000000e+00 3.04e+00 2.59e+03 -0.1 9.24e-01 3.7 2.51e-01 1.47e-01f 1\n", - " 36r 0.0000000e+00 3.04e+00 2.45e+03 -0.1 3.70e-02 4.1 1.00e+00 4.72e-02h 1\n", - " 37r 0.0000000e+00 3.02e+00 1.44e+04 -0.1 8.86e-02 3.6 1.00e+00 1.00e+00f 1\n", - " 38r 0.0000000e+00 3.01e+00 9.43e+03 -0.1 6.09e-02 4.0 1.00e+00 1.00e+00f 1\n", - " 39r 0.0000000e+00 3.00e+00 7.01e+03 -0.1 2.37e-01 3.6 5.50e-01 3.54e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40r 0.0000000e+00 2.92e+00 2.15e+04 -0.1 1.46e-01 3.1 7.44e-01 8.96e-01f 1\n", - " 41r 0.0000000e+00 2.92e+00 1.32e+03 -0.1 3.90e-02 4.4 1.00e+00 1.00e+00f 1\n", - " 42r 0.0000000e+00 2.91e+00 1.55e+04 -0.1 4.15e-02 3.9 1.00e+00 1.00e+00f 1\n", - " 43r 0.0000000e+00 2.91e+00 1.11e+04 -0.1 6.22e+00 3.5 2.05e-02 1.22e-02f 1\n", - " 44r 0.0000000e+00 2.83e+00 6.07e+03 -0.1 1.05e-01 3.0 1.00e+00 7.81e-01f 1\n", - " 45r 0.0000000e+00 8.59e+00 3.25e+05 -0.1 1.31e+00 2.5 1.32e-01 4.23e-01f 1\n", - " 46r 0.0000000e+00 2.68e+00 1.29e+05 -0.1 1.03e-01 3.8 4.39e-01 1.00e+00f 1\n", - " 47r 0.0000000e+00 2.67e+00 1.14e+05 -0.1 5.20e-01 3.4 3.51e-01 1.10e-01f 1\n", - " 48r 0.0000000e+00 2.66e+00 5.76e+04 -0.1 8.52e-02 3.8 1.00e+00 5.88e-01f 1\n", - " 49r 0.0000000e+00 2.66e+00 1.54e+04 -0.1 3.41e-02 4.2 7.50e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50r 0.0000000e+00 2.64e+00 4.50e+03 -0.1 1.34e-01 3.7 8.44e-01 6.77e-01f 1\n", - " 51r 0.0000000e+00 2.64e+00 4.33e+03 -0.1 4.84e-01 3.3 1.00e+00 3.77e-02f 1\n", - " 52r 0.0000000e+00 2.47e+00 9.26e+03 -0.1 2.12e-01 2.8 1.00e+00 1.00e+00f 1\n", - " 53r 0.0000000e+00 2.46e+00 2.34e+02 -0.1 1.81e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 54r 0.0000000e+00 2.44e+00 3.24e+04 -0.1 1.58e-01 3.6 1.00e+00 1.00e+00f 1\n", - " 55r 0.0000000e+00 2.44e+00 1.87e+04 -0.1 8.66e-02 4.1 1.00e+00 5.20e-01f 1\n", - " 56r 0.0000000e+00 2.43e+00 1.19e+04 -0.1 3.70e-01 3.6 5.73e-01 2.62e-01f 1\n", - " 57r 0.0000000e+00 2.43e+00 9.65e+03 -0.1 7.88e-02 4.0 1.00e+00 2.13e-01f 1\n", - " 58r 0.0000000e+00 2.40e+00 4.15e+04 -0.1 1.72e-01 3.5 9.88e-01 1.00e+00f 1\n", - " 59r 0.0000000e+00 2.39e+00 1.28e+04 -0.1 1.08e-01 4.0 1.00e+00 8.25e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60r 0.0000000e+00 2.38e+00 1.06e+04 -0.1 2.75e-01 3.5 1.00e+00 1.69e-01f 1\n", - " 61r 0.0000000e+00 2.28e+00 1.55e+04 -0.1 1.56e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 62r 0.0000000e+00 2.27e+00 2.16e+03 -0.1 2.78e-02 4.3 1.00e+00 1.00e+00f 1\n", - " 63r 0.0000000e+00 2.26e+00 1.23e+04 -0.1 6.13e-02 3.9 1.00e+00 1.00e+00f 1\n", - " 64r 0.0000000e+00 2.25e+00 4.74e+03 -0.1 4.10e-02 4.3 1.00e+00 1.00e+00f 1\n", - " 65r 0.0000000e+00 2.24e+00 7.32e+02 -0.1 1.11e-01 3.8 1.00e+00 6.05e-01f 1\n", - " 66r 0.0000000e+00 2.24e+00 1.12e+03 -0.1 2.33e-01 3.3 1.00e+00 4.67e-02f 1\n", - " 67r 0.0000000e+00 2.08e+00 1.60e+03 -0.1 1.56e-01 2.9 1.00e+00 1.00e+00f 1\n", - " 68r 0.0000000e+00 1.99e+00 1.40e+03 -0.1 6.59e-02 3.3 1.00e+00 1.00e+00f 1\n", - " 69r 0.0000000e+00 1.92e+00 7.57e+02 -0.1 2.90e-02 3.7 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70r 0.0000000e+00 1.89e+00 1.61e+02 -0.1 1.19e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 71r 0.0000000e+00 1.39e+00 9.83e+03 -0.1 8.37e-02 3.7 1.00e+00 1.00e+00f 1\n", - " 72r 0.0000000e+00 9.56e-01 9.73e+03 -0.1 5.96e-02 4.1 1.00e+00 1.00e+00f 1\n", - " 73r 0.0000000e+00 4.91e-01 5.19e+03 -0.1 2.10e-01 3.6 1.00e+00 5.01e-01f 1\n", - " 74r 0.0000000e+00 4.43e-01 4.48e+03 -0.1 1.17e-02 3.1 1.00e+00 1.20e-01h 1\n", - " 75r 0.0000000e+00 2.97e-02 2.87e+03 -0.1 1.66e-02 2.6 1.00e+00 1.00e+00f 1\n", - " 76r 0.0000000e+00 3.59e-02 7.73e+01 -0.1 4.19e-02 2.2 1.00e+00 1.00e+00f 1\n", - " 77r 0.0000000e+00 4.69e-01 7.51e+01 -0.1 1.07e-01 1.7 1.00e+00 1.00e+00f 1\n", - " 78r 0.0000000e+00 8.95e+00 3.16e+02 -0.1 5.00e-01 1.2 1.00e+00 1.00e+00f 1\n", - " 79r 0.0000000e+00 3.74e+01 4.16e+03 -0.1 7.47e-01 0.7 1.00e+00 6.57e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80r 0.0000000e+00 3.23e+00 2.61e+03 -0.1 1.05e-01 3.0 1.00e+00 1.00e+00f 1\n", - " 81r 0.0000000e+00 4.21e-01 4.88e+02 -0.1 2.98e-02 2.5 1.00e+00 1.00e+00f 1\n", - " 82r 0.0000000e+00 4.73e-02 5.13e+00 -0.1 3.17e-02 2.0 1.00e+00 1.00e+00f 1\n", - " 83r 0.0000000e+00 1.03e-01 9.15e+01 -1.5 1.18e-01 1.5 1.00e+00 8.57e-01f 1\n", - " 84r 0.0000000e+00 4.15e-01 6.94e+01 -1.5 2.80e-01 1.1 6.66e-01 6.31e-01f 1\n", - " 85r 0.0000000e+00 8.77e-01 4.62e+02 -1.5 6.14e-01 0.6 1.00e+00 4.57e-01f 1\n", - " 86r 0.0000000e+00 6.85e-01 4.27e+02 -1.5 3.56e-01 1.0 1.00e+00 3.05e-01f 1\n", - " 87r 0.0000000e+00 6.04e-01 5.00e+02 -1.5 2.81e-01 0.5 1.00e+00 1.74e-01f 1\n", - " 88r 0.0000000e+00 3.12e+00 4.23e+02 -1.5 3.33e+00 0.1 2.53e-01 1.98e-01f 1\n", - " 89r 0.0000000e+00 1.63e+00 1.95e+02 -1.5 3.92e-01 0.5 1.00e+00 7.12e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90r 0.0000000e+00 5.06e-01 1.98e+02 -1.5 2.06e-01 0.9 1.00e+00 5.41e-01f 1\n", - " 91r 0.0000000e+00 1.87e-01 1.79e+02 -1.5 2.33e-01 0.4 1.00e+00 6.85e-01f 1\n", - " 92r 0.0000000e+00 3.54e-01 3.00e+02 -1.5 3.46e+00 - 5.31e-01 1.20e-01f 1\n", - " 93r 0.0000000e+00 3.08e-01 4.16e+02 -1.5 5.80e-01 -0.0 1.00e+00 1.47e-01f 1\n", - " 94r 0.0000000e+00 5.84e-01 6.47e+02 -1.5 3.14e+00 - 9.76e-01 1.10e-01f 1\n", - " 95r 0.0000000e+00 5.42e-01 5.83e+02 -1.5 1.28e+01 - 2.10e-03 9.36e-02f 1\n", - " 96r 0.0000000e+00 7.52e-01 8.61e+02 -1.5 9.98e-01 - 7.75e-01 4.63e-01f 1\n", - " 97r 0.0000000e+00 7.95e-01 2.99e+02 -1.5 6.68e-01 - 7.55e-01 8.91e-01f 1\n", - " 98r 0.0000000e+00 4.34e-01 2.11e+02 -1.5 1.07e+00 - 1.00e+00 4.31e-01f 1\n", - " 99r 0.0000000e+00 3.14e-02 3.04e+00 -1.5 2.07e-01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100r 0.0000000e+00 2.07e-03 1.26e-01 -1.5 6.03e-03 - 1.00e+00 1.00e+00f 1\n", - " 101r 0.0000000e+00 1.05e-01 2.00e+02 -3.3 8.01e-01 - 9.31e-01 2.90e-01f 1\n", - " 102r 0.0000000e+00 1.99e-01 2.19e+02 -3.3 8.87e-01 - 7.05e-01 3.31e-01f 1\n", - " 103r 0.0000000e+00 2.04e-01 1.69e+02 -3.3 6.73e-01 - 4.76e-01 3.40e-01f 1\n", - " 104r 0.0000000e+00 1.73e-01 1.54e+02 -3.3 4.74e-01 - 4.82e-01 2.37e-01f 1\n", - " 105r 0.0000000e+00 1.31e-01 2.08e+02 -3.3 3.70e-01 - 7.27e-01 3.80e-01f 1\n", - " 106r 0.0000000e+00 9.69e-02 1.56e+02 -3.3 2.76e-01 - 4.50e-01 3.44e-01f 1\n", - " 107r 0.0000000e+00 6.55e-02 8.32e+01 -3.3 2.31e-01 - 2.29e-01 4.54e-01f 1\n", - " 108r 0.0000000e+00 4.44e-02 9.31e+01 -3.3 1.87e-01 - 5.15e-01 4.86e-01f 1\n", - " 109r 0.0000000e+00 4.14e-02 1.52e+02 -3.3 1.53e-01 - 3.39e-01 6.94e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110r 0.0000000e+00 3.92e-02 2.48e+02 -3.3 1.47e-01 - 8.95e-02 5.43e-02f 1\n", - " 111r 0.0000000e+00 3.22e-02 2.19e+02 -3.3 1.44e-01 - 6.60e-02 2.08e-01f 1\n", - " 112r 0.0000000e+00 2.92e-02 2.10e+02 -3.3 1.34e-01 - 3.12e-01 9.97e-02f 1\n", - " 113r 0.0000000e+00 2.69e-02 1.92e+02 -3.3 1.30e-01 - 1.00e-01 8.34e-02f 1\n", - " 114r 0.0000000e+00 1.72e-02 1.06e+02 -3.3 1.26e-01 - 6.09e-01 6.66e-01f 1\n", - " 115r 0.0000000e+00 1.63e-02 4.07e+02 -3.3 1.04e-01 - 2.40e-01 5.96e-02f 1\n", - " 116r 0.0000000e+00 1.51e-02 5.54e+02 -3.3 1.01e-01 - 4.84e-01 7.90e-02f 1\n", - " 117r 0.0000000e+00 1.22e-02 4.37e+02 -3.3 9.89e-02 - 1.20e-01 2.35e-01f 1\n", - " 118r 0.0000000e+00 8.95e-03 2.20e+02 -3.3 9.25e-02 - 1.00e+00 4.62e-01f 1\n", - " 119r 0.0000000e+00 7.31e-03 2.10e+02 -3.3 7.56e-02 - 3.43e-01 2.22e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120r 0.0000000e+00 6.82e-03 5.01e+02 -3.3 7.39e-02 - 2.74e-01 7.20e-02f 1\n", - " 121r 0.0000000e+00 5.84e-03 4.74e+02 -3.3 7.06e-02 - 4.78e-02 1.71e-01f 1\n", - " 122r 0.0000000e+00 5.45e-03 4.39e+02 -3.3 6.73e-02 - 9.69e-02 7.09e-02f 1\n", - " 123r 0.0000000e+00 4.08e-03 2.11e+02 -3.3 6.58e-02 - 7.05e-01 4.71e-01f 1\n", - " 124r 0.0000000e+00 3.76e-03 3.54e+02 -3.3 5.83e-02 - 4.39e-01 8.77e-02f 1\n", - " 125r 0.0000000e+00 3.30e-03 1.57e+02 -3.3 5.70e-02 - 6.72e-02 1.42e-01f 1\n", - " 126r 0.0000000e+00 2.61e-03 1.28e+02 -3.3 5.45e-02 - 1.29e-01 3.31e-01f 1\n", - " 127r 0.0000000e+00 2.40e-03 2.66e+02 -3.3 4.82e-02 - 2.03e-01 8.77e-02f 1\n", - " 128r 0.0000000e+00 2.15e-03 4.41e+02 -3.3 4.66e-02 - 4.67e-01 1.18e-01f 1\n", - " 129r 0.0000000e+00 1.70e-03 2.54e+02 -3.3 4.50e-02 - 7.10e-02 3.20e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130r 0.0000000e+00 1.57e-03 2.79e+02 -3.3 4.11e-02 - 2.04e-01 8.68e-02f 1\n", - " 131r 0.0000000e+00 1.41e-03 2.48e+02 -3.3 3.95e-02 - 1.12e-01 1.17e-01f 1\n", - " 132r 0.0000000e+00 1.20e-03 2.79e+02 -3.3 3.76e-02 - 8.34e-02 1.92e-01f 1\n", - " 133r 0.0000000e+00 1.10e-03 2.50e+02 -3.3 3.35e-02 - 1.40e-01 9.30e-02f 1\n", - " 134r 0.0000000e+00 9.62e-04 2.23e+02 -3.3 3.31e-02 - 1.06e-01 1.44e-01f 1\n", - " 135r 0.0000000e+00 8.83e-04 1.92e+02 -3.3 3.11e-02 - 1.08e-01 9.06e-02f 1\n", - " 136r 0.0000000e+00 7.86e-04 1.80e+02 -3.3 2.78e-02 - 1.09e-01 1.24e-01f 1\n", - " 137r 0.0000000e+00 7.28e-04 1.59e+02 -3.3 2.44e-02 - 1.23e-01 7.74e-02f 1\n", - " 138r 0.0000000e+00 6.57e-04 1.35e+02 -3.3 2.00e-02 - 1.38e-01 1.03e-01f 1\n", - " 139r 0.0000000e+00 6.00e-04 1.91e+02 -3.3 1.31e-02 - 1.56e-01 8.95e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140r 0.0000000e+00 4.81e-04 1.18e+02 -3.3 6.09e-03 - 1.36e-01 2.01e-01f 1\n", - " 141r 0.0000000e+00 3.83e-07 4.99e+02 -3.3 4.32e-04 - 1.60e-01 1.00e+00f 1\n", - " 142r 0.0000000e+00 4.01e-07 1.43e+01 -3.3 5.84e-04 - 1.00e+00 1.00e+00f 1\n", - " 143r 0.0000000e+00 2.62e-07 8.84e-04 -3.3 2.39e-05 - 1.00e+00 1.00e+00h 1\n", - " 144r 0.0000000e+00 1.11e-05 4.74e+01 -5.0 3.88e-03 - 1.00e+00 7.86e-01f 1\n", - " 145r 0.0000000e+00 6.15e-07 6.03e-02 -5.0 7.40e-04 - 1.00e+00 1.00e+00f 1\n", - " 146r 0.0000000e+00 1.29e-08 1.33e-05 -5.0 9.35e-05 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 146\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.4953899469214319e-09 1.2867658938375826e-08\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.4953899469214319e-09 1.2867658938375826e-08\n", - "\n", - "\n", - "Number of objective function evaluations = 149\n", - "Number of objective gradient evaluations = 9\n", - "Number of equality constraint evaluations = 149\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 148\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 146\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 50.016\n", - "Total CPU secs in NLP function evaluations = 7.080\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Output this time: [0.000199428298248, 4.158983497112246e-05, 4.188756432950011e-05, 4.240081778575322e-05, 4.285536904159594e-05, 4.325365826507481e-05, 4.361001544889406e-05, 4.392603360019573e-05, 4.422110319991293e-05, 4.449828230644658e-05, 4.4787355653911307e-05, 4.510211751585779e-05, 4.549868008398653e-05, 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sequential_finite mode [s]: 242.8640742301941\n", - "Existed information has been added.\n", - "FIM: [[0.00404735 0.02437269]\n", - " [0.02437269 1.46096024]]\n", - "Trace: 1.4650075919658094\n", - "Determinant: 0.005318992572691101\n", - "Condition number: 401.50385294042286\n", - "Minimal eigen value: 0.003639735573370162\n", - "Eigen values: [0.00363974 1.46136786]\n", - "Eigen vectors: [[-0.99986018 -0.01672198]\n", - " [ 0.01672198 -0.99986018]]\n" - ] - } - ], + "outputs": [], "source": [ "sensi_opt = 'sequential_finite'\n", "\n", @@ -1602,18 +1106,10 @@ }, { "cell_type": "code", - "execution_count": 15, - "id": "48e070dd", + "execution_count": null, + "id": "4ea19fb4", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'fitted_transport_coefficient': [0.0, 2.8844226902382066e-06, 1.972284594093816e-06, 1.4692339188211034e-06, 1.0243074836814022e-06, 7.335210246830007e-07, 5.028803186060459e-07, 4.138864732879208e-07, 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