MATLAB implementations of a variety of nonlinear programming algorithms.

Implementation and visualization (some demos) of search and optimization algorithms.

Density Functional Theory with plane waves basis, applied on a 'quantum dot'. Volumetric visualization of orbitals with VTK

Conjugate Gradient method (CG)

Optimization in ML

(Nonlinear) optimization algorithms in C#

Implementation of nonlinear Optimization Algorithms in Python

numerical optimization subroutines in Fortran generated by ChatGPT-4

Topology optimization code utilizing a Multi-Grid Conjugate Gradient solver.

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.

Forecasting for AirQuality UCI dataset with Conjugate Gradient Artificial Neural Network based on Feature Selection L1 Regularized and Genetic Algorithm for Parameter Optimization

Monte Carlo based method for Radioactive Particle Tracking technique based on Qt C++/C++

Gradient Descent (GD) v.s. Conjugate Gradient Descent (CGD) for 2-D Linear Regression

Numerical Optimization Methods coursework | Institute for Applied System Analysis (2017)

Reimplementation of optimization algorithms.

Computational Methods for Optimization

Implementation of optimization algorithms in python

Reports of the assignments: Decision Models a.y. 2018/2019

Identical directions generated by Linear Conjugate Gradient and David-Fletcher-Powell

Python Implementation and Visualization of Numerical Optimization Techniques