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
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
A next-gen Lagrange-Newton solver for nonconvex constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
Efficient optimal control solvers for robotic systems.
HPC solver for nonlinear optimization problems
Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.
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.
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.…
interior point method for linear programming
C implementation of the Interior Point Methods (CPPIPM)
Clarabel.cpp: C/C interface to the Clarabel Interior-point solver for convex conic optimisation problems.
A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).
A Python implementation of Simplex and Interior-Point algorithms for solving Linear Programs (LPs)
Documentation for the Clarabel interior point conic solver
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