numerical optimization subroutines in Fortran generated by ChatGPT-4
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Updated
Jun 7, 2023 - Fortran
numerical optimization subroutines in Fortran generated by ChatGPT-4
Numerical Optimization Methods coursework | Institute for Applied System Analysis (2017)
Computational Methods for Optimization
Topology optimization code utilizing a Multi-Grid Conjugate Gradient solver.
Implementation of optimization algorithms in python
Reports of the assignments: Decision Models a.y. 2018/2019
Python Implementation and Visualization of Numerical Optimization Techniques
Gradient Descent (GD) v.s. Conjugate Gradient Descent (CGD) for 2-D Linear Regression
Identical directions generated by Linear Conjugate Gradient and David-Fletcher-Powell
Forecasting for AirQuality UCI dataset with Conjugate Gradient Artificial Neural Network based on Feature Selection L1 Regularized and Genetic Algorithm for Parameter Optimization
CG is a FORTRAN77 library by Sourangshu Ghosh which implements a simple version of the conjugate gradient (CG) method for solving a system of linear equations of the form A*x=b, suitable for situations in which the matrix A is positive definite (only real, positive eigenvalues) and symmetric.
Implementation of nonlinear Optimization Algorithms in Python
Optimization in ML
Implementation and visualization (some demos) of search and optimization algorithms.
Reimplementation of optimization algorithms.
(Nonlinear) optimization algorithms in C#
Conjugate Gradient method (CG)
Density Functional Theory with plane waves basis, applied on a 'quantum dot'. Volumetric visualization of orbitals with VTK
MATLAB implementations of a variety of nonlinear programming algorithms.
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