Find your next solver
A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
10 resources matching
- BARONSolver
BARON is the industry-leading solver for mixed-integer nonlinear programming (MINLP).
- ClarabelSolver
http://clarabel.rs/ is a Rust implementation of an interior point numerical solver for convex optimization problems using a novel homogeneous embedding.
- CVXPYModeling language
CVXPY is an open source Python-embedded modeling language for convex optimization problems. It lets you express your problem in a natural way that follows the math, rather than in the restrictive standard form required by solvers.
- Discord: CVXPYCommunity
The CVXPY Discord community is a group of people who use the CVXPY software to solve convex optimization problems in Python
- IpoptSolver
Ipopt (Interior Point Optimizer, pronounced "Eye-Pea-Opt") is an open source software package for large-scale nonlinear optimization. It can be used to solve general nonlinear programming problems
- KNITROSolver
The most advanced solver for nonlinear optimization.
- MosekSolver
Solves your LPs, QPs, SOCPs, SDPs, and MIPs. Includes interfaces to C, C++, Java, MATLAB, .NET, Python, Julia, Rust and R.
- NLoptSolver
NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms.
- OSQPSolver
The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving convex quadratic programs.
- SCSSolver
SCS (Splitting Conic Solver) is a numerical optimization package for solving large-scale convex quadratic cone problems. The code is freely available on https://github.com/cvxgrp/scs. It solves primal-dual problems.