Linear optimization software
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Updated
May 12, 2024 - C++
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.
HPC solver for nonlinear optimization problems
Efficient optimal control solvers for robotic systems.
An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
Interior-point solver in pure Julia
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.…
qpSWIFT is a light-weight sparse quadratic programming solver
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.
C++ interface for hpipm, a high-performance interior point MPC solver
C++ implementation of the Interior Point Methods (CPPIPM)
interior point method for linear programming
A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).
A next-gen solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT
Implementation of Interior Points Method in MATLAB (My Assignment in Linear Optimization course [MTH305] [IIIT-Delhi]).
An Proximal Interior Point Quadratic Programming solver
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
An Open Source Deep Learning Framework for Solving Inverse Optimization Problem
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