interior-point-method

Linear optimization software

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.

High-performance interior-point-method QP and QCQP solvers

Efficient optimal control solvers for robotic systems.

HPC solver for nonlinear optimization problems

Interior-point solver in pure Julia

Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.

qpSWIFT is a light-weight sparse quadratic programming solver

An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.

Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.

Uno: a modular open-source solver for unifying nonlinear optimization

C++ interface for hpipm, a high-performance interior point MPC solver

interior point method for linear programming

C++ implementation of the Interior Point Methods (CPPIPM)

This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code.…

A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).

Implementation of Interior Points Method in MATLAB (My Assignment in Linear Optimization course [MTH305] [IIIT-Delhi]).

A Python implementation of Simplex and Interior-Point algorithms for solving Linear Programs (LPs)

Mehrotra's Predictor-Corrector Interior Point Method

An Open Source Deep Learning Framework for Solving Inverse Optimization Problem