diff --git a/Generalized_FP.py b/Generalized_FP.py
deleted file mode 100644
index aca80c9..0000000
--- a/Generalized_FP.py
+++ /dev/null
@@ -1,159 +0,0 @@
-
-# coding: utf-8
-
-# In[1]:
-
-
-import numpy as np
-import time as tm 
-import pylab as plt
-
-from scipy import integrate
-from scipy import sparse
-
-
-# In[2]:
-
-
-################## Parameters value
-
-dx = 1.0                       # spatial separation
-x = np.arange(-50,50, dx)    # spatial grid points
-
-m     = 1.0                    # mass
-omega = 0.5                    # HO frequency
-gamma = 10.0                   # dissip    
-KbT   = gamma                 
-Dif   = 1.0 * KbT/gamma        # D= nu/gamma^2 = 2KbT/gamma diffusion const
-sigma = 0.4 * gamma            # range/gamma^2
-
-varsigma = sigma/gamma
-
-################## Coefficients
-
-beta0 = 1
-beta1 = (1/2) * varsigma**2
-beta2 = (1/8) * varsigma**4
-beta3 = (1/48) * varsigma**6
-beta4 = (1/384) * varsigma**8
-
-zeta0 = 1/2 
-zeta1 = (1/8) * varsigma**2
-zeta2 = (1/48) * varsigma**4
-zeta3 = (1/384) * varsigma**6
-zeta4 = (1/3840) * varsigma**8
-
-C0 = (gamma*varsigma**2/Dif) * beta0 + zeta0
-C1 = (gamma*varsigma**2/Dif) * beta1 + zeta1
-C2 = (gamma*varsigma**2/Dif) * beta2 + zeta2
-C3 = (gamma*varsigma**2/Dif) * beta3 + zeta3
-C4 = (gamma*varsigma**2/Dif) * beta4 + zeta4
-
-
-################## Initial rho0   
-
-def ddf(x,sig):
-    x0 = x #- 10
-    val = np.zeros_like(x0)
-    val[(-(1/(10*sig))<=x0) & (x0<=(1/(10*sig)))] = 1
-    return val
-
-delta0 = ddf(x,1)            # initial delta
-print(np.trapz(delta0, x))
-
-
-################## overdamped standard BM rho_t   
-
-def BM_rho_t(t, rho):
-    B0 = omega**2/gamma * np.convolve(x*rho, [1,-1], 'same') / dx  
-    B2 = 1/2 * np.convolve(rho, [1,-2,1], 'same') / (dx**2)
-    #print(t)
-    return  B0 + Dif* B2 
-
-
-################## overdamped GenBM rho_t   
-
-def GenBM_rho_t(t, rho):
-    D0 = omega**2/gamma * np.convolve(x*rho, [1,-1], 'same') / dx  
-    D2 = C0 * np.convolve(rho, [1,-2,1], 'same') / (dx**2)
-    D4 = C1 * np.convolve(rho, [1, -4, 6, -4, 1], 'same') / (dx**4)
-    D6 = C2 * np.convolve(rho, [1, -6, 15, -20, 15,  -6, 1], 'same') / (dx**6)
-    D8 = C3 * np.convolve(rho, [1, -8, 28, -56, 70, -56, 28, -8, 1], 'same') / (dx**8)
-    D10= C4 * np.convolve(rho, [1, -10, 45, -120, 210, -252, 210, -120, 45, -10, 1], 'same') / (dx**10)
-    return  D0 + Dif*(D2 + D4 + D6 + D8 + D10)
-
-################## Harmonic Force and Potential    
-
-V = 0.5 * omega**2 * (x)**2     # harmonic potential
-#F = - omega**2 * (x)           # harmonic force
-
-################## Plot of rho0 and V
-
-#plt.plot(x, V, "k--", label=r"$V(x)$")           # plot potential
-plt.plot(x, delta0, label=r"$\rho(x,0)$")         # plot rho0
-
-#plt.xlim(-10, 10)
-plt.legend(loc=1, fontsize=12, fancybox=False)
-plt.figure()
-
-
-# In[3]:
-
-
-################## Time initial conditions
-
-dt = 0.1                        # time interval for snapshots
-t0 = 0.0                        # initial time
-tf = 100.                       # final time
-t_eval = np.arange(t0, tf, dt)  # time range
-
-for i in t_eval:
-    t_dur = int(i/dt)
-    
-#print(t_dur)
-
-start = tm.time()
-
-#########################################################
-
-################## Solve the Initial Value Problem
-
-# overdamped standard BM
-BM_sol = integrate.solve_ivp(BM_rho_t, t_span=[t0, tf], y0=delta0, t_eval=t_eval,  method="RK23")
-
-# overdamped generalized BM
-GenBM_sol = integrate.solve_ivp(GenBM_rho_t, t_span=[t0, tf], y0=delta0, t_eval=t_eval,  method="RK23")
-
-print(GenBM_sol.message)
-
-#########################################################
-
-end = tm.time()
-print("")
-print(end-start)
-
-
-# In[4]:
-
-
-################## Plot of GenBM and Brown rhos
-
-fig2 = plt.figure(figsize=(8, 4))
-
-######### Snapshots
-
-#for i, t in enumerate(GenBM_sol.t):
-    #if i != 0:
-        #print(np.trapz(sol.y[:,i],x))
-        #if t//2 == 1:
-            #plt.plot(x, GenBM_sol.y[:,i])
-            
-        
-plt.plot(x, GenBM_sol.y[:,t_dur], color='red', label=r"$\rho_{GenBM}(x)$")
-plt.plot(x, BM_sol.y[:,t_dur], color= 'darkblue', label=r"$\rho_{BM}(x)$")
-
-#plt.ylim(0,0.08)
-#plt.xlim(-20, 20)
-plt.xlabel(r' $x$', fontsize = 12)
-
-plt.legend(loc=1, fontsize=12, fancybox=False)