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

Python Implementation and Visualization of Numerical Optimization Techniques

numerical optimization subroutines in Fortran generated by ChatGPT-4

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

Implementation of optimization algorithms in python

Optimization in ML

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

Implementation of nonlinear Optimization Algorithms in Python

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

(Nonlinear) optimization algorithms in C#

Reimplementation of optimization algorithms.

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

MATLAB implementations of a variety of nonlinear programming algorithms.

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.

Conjugate Gradient method (CG)

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

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

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

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

Computational Methods for Optimization