Linear optimization software

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

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.

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

A highly customizable SQP & barrier solver for nonlinearly constrained optimization

Efficient optimal control solvers for robotic systems.

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

HPC solver for nonlinear optimization problems

Interior-point solver in pure Julia

qpSWIFT is a light-weight sparse quadratic programming solver

A Proximal Interior Point Quadratic Programming solver

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

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

Linearity-exploiting reverse mode autodiff library, interior-point method, and NLP solver DSL for C++23 and Python

Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.

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.…

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

Quadratic Objective Conic Optimizer

interior point method for linear programming

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