Find your next solver
A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
23 resources matching
- AI for Better PlanningNewsletter
Learn more about how AI is changing businesses and how you can leverage it: Insights, tools, tips, and expert voices
- Amazon ScienceBlog
Blog with news from the Operations Research and Optimization group at Amazon
- Anything you can do I can do betterVideo
Prof Marco Lubbecke talks about optimization in a TED Talk.
- BARONSolver
BARON is the industry-leading solver for mixed-integer nonlinear programming (MINLP).
- Beer GameGame
Learn supply chain principles through a visual simulation.
- ClarabelSolver
http://clarabel.rs/ is a Rust implementation of an interior point numerical solver for convex optimization problems using a novel homogeneous embedding.
- cuOptSolver
Achieve world-record speed on large-scale problems with millions of constraints and variables—saving time and reducing costs.
- CVRP GameGame
A game to better understand how CVRP works.
- 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.
- Michael WatsonContent creator
Teaching and writing about all things AI, operations, and his startup experience.
- Mike Talks AINewsletter
Practical AI for business, my experience starting and selling a company, and other content.
- MIPLearnSoftware
An extensible framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML). MIPLearn uses ML methods to automatically identify patterns in previously solved instances of the problem, then uses these patterns to accelerate the performance of conventional state-of-the-art MIP solvers such as CPLEX, Gurobi or XPRESS.
- MIT Supply Chain FrontiersPodcast
Thought leadership from the MIT Center for Transportation & Logistics.
- ML ain’t your only hammerVideo
Introduction to the field of mathematical 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.
- ORTECUse cases
Customer success stories from ORTEC
- OSQPSolver
The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving convex quadratic programs.
- Prasad VelagaContent creator
President of Optisol, Scheduling Specialist for High-Variety, Order-Driven Production and Resource-Constrained Projects.
- 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.