C++ library [machine learning & numerical optimization] - superseeded by libnano
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Updated
Feb 13, 2019 - C++
C++ library [machine learning & numerical optimization] - superseeded by libnano
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a parameter optimization program of reaction-diffusion equations based on SciPy
The following includes all the MATLAB scripts necessary for implementing the algorithm described in the attached paper.
Implementation of Forward Backward Splitting Method
Optimal control with GAMS
Geometric Semantic Genetic Programming ported to Go
Collabration with Andrew. Model's coding for TNF regulation in LPS, CpG and PIC
Implementation of iterative techniques to solve linear & non-linear systems.
Numerical optimization algorithms with examples in Python.
Six projects exploring numerical methods in the solution of systems of linear and differential equations.
Implementations of some numerical optimization, matrix approximation + decomposition algorithms.
My personal notes for learning math
A small utility project in Python whose purpose is to evaluate the global minimum of a given function, using a black box approach. Therefore there's no need to provide the analytic form, an actual implementation of the function is enough. Hypothesis: the given function satisfies the Lipschitz criterion, and an overextimation of L is given in input.
Open-Source Optimization Library - Extremum
Parallel-fibre to Purkinje cell plasticity simulator. Multiple optimisation functions incorporated to fit model to experimental data.
[WIP] Numerical methods implemented in Fortran.
Implementation of different numerical optimization methods in Python
This repo contains implementations of several numerical methods in MATLAB.
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