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

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

A comparative optimization study of logistic regression for fake news detection, evaluating gradient descent, conjugate gradient, Newton, and L-BFGS methods on large-scale TF-IDF text features for convergence behavior, runtime, and memory efficiency.

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

Implementation of optimization algorithms in python

Reimplementation of optimization algorithms.

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

Computational Methods for Optimization

Reference implementations of 22 optimization methods from 8 different families in Wolfram Mathematica

Python Implementation and Visualization of Numerical Optimization Techniques