Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm
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Updated
Oct 4, 2019 - Python
Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm
A library for fitting a sequence of electrochemical impedance spectra (JAX version).
Una implementación inicial del algoritmo de Quine McCLuskey para reducir expresiones logicas.
Automate Quantum Espresso routines
Various algorithms, without explanation of their work
This project aims at providing the optimal solution for minimum transportation costing based on two decision variables along with a pictorial overview of the problem. The project uses Excel for dataset cleaning and manipulation as well as python programming for simplex solution and finally, SAS Visual Analytics for visualization.
Given a network, equipped with a specific total and strict order, we get the minimal "round trip" traversal length. It always converges, at quadratic cost.
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