Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, time-step sizes, velocities, or deformation severity.

Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"

This project, based on MATLAB, is an implementation of barrier method to solve LASSO problem. The barrier method is designed with centering step based on newton method.

Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani

L1-SVM & L2-SVM optimised using Log barrier Interior point and Sequential Minimal Optimisation (SMO) algorithms.

A parallel data preprocessing system using threads and synchronization mechanisms (barrier, busy-waiting, condition variables) to clean and prepare data for AI training.

This repository contains assignments completed in the course "Convex Optimisation" using python

Education material for learning/teaching of Linear Progrmming using Barrier Method. Presentation with commentary and python code available.

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

MVA Assignment - Convex Optimization - Implementation of Lasso with barrier method

Neste repositório encontra-se a implementação do métodos Barreira para a disciplinas de Otimização Linear 2, do curso de Pós-Graduação em Ciências da Computação pelo ICMC-USP.

This repository contains a collection of MATLAB scripts that implement some of the classical optimization methods for constrained optimization models: Penalty and Barrier methods, linear and non-linear Zoutendijk and also the Gradient Projection Method of Rosen (GPMR).

Reimplementation of optimization algorithms.

Barrier methods for quadratic programs, project done as part of the course on Convex Optimization by Alexandre d'Aspremont. Written in JAX.

Some notes on convex optimization