Find your next solver
A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
33 resources matching
- AIMMS use casesUse cases
Case studies from AIMMS
- AMPLModeling language
Welcome to AMPL (A Mathematical Programming Language), a powerful and intuitive modeling language designed specifically for large-scale optimization problems. If you are new to modeling languages or AMPL, this page will guide you through what AMPL is, its benefits, and why it stands out in the landscape of programming and modeling languages.
- AMPL use casesUse cases
Optimization problems in businesses using AMPL
- Combinatorial Optimization: Algorithms and ComplexityBook
An introduction to algorithms and computational complexity to solve combinatorial optimization problems
- Coupa use casesUse cases
Customer success stories from Coupa including optimization problems
- 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.
- DecisionBrain use casesUse cases
A track record of successful deployments in several countries across the globe from DecisionBrain
- FICO use casesUse cases
The Resource Center of use cases done with FICO
- GAMSModeling language
GAMS is a modeling system for mathematical optimization that lets users formulate complex problems in a high-level language and run them with different commercial and open-source solvers. All solvers are packaged in a single distribution, making it easy to switch between them and giving customers one point of contact for licensing and support. It also has a Python interface -GAMSPy- for building and solving mathematical optimization models using the GAMS technology stack. It keeps the modeling concepts of GAMS (sets, parameters, variables, equations) but exposes them as Python classes and functions. This allows modelers to stay in the Python ecosystem while using mature GAMS solvers and workflows.
- GAMS use casesUse cases
A selection of case studies that demonstrate the diverse application areas of mathematical optimization with GAMS.
- Google OR-ToolsModeling language
Open source software suite for optimization, tuned for tackling the world's toughest problems in vehicle routing, flows, integer and linear programming, and constraint programming.
- Gurobi use casesUse cases
Insights from different case studies of companies using Gurobi
- Hands-On Mathematical Optimization with PythonBook
A gentle introduction to optimization with Python.
- Hexaly use casesUse cases
Success stories from different companies using Hexaly
- IBM use casesUse cases
Use cases from IBM
- Introduction to algorithmsBook
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness.
- Introduction to Operations ResearchBook
An introduction to Operations Research with theory from Linear Programming to simulation, passing through Nonlinear Programming, Game Theory, Metaheuristics or Network flows, among others.
- JuMPModeling language
JuMP is a domain-specific modeling language for mathematical optimization embedded in Julia. JuMP makes it easy to formulate and solve a range of problem classes, including linear programs, integer programs, conic programs, semidefinite programs, and constrained nonlinear programs.
- MiniZincModeling language
MiniZinc is a high-level constraint modelling language that allows you to easily express and solve discrete optimisation problems.
- Modern LP Book - DualityBook
A discussion about books focused on duality theory
- More Optimal use casesUse cases
Real life examples from More Optimal
- Operations Research: an introductionBook
A book covering the basics of Operations Research
- Optimal Dynamics use casesUse cases
Case studies from Optimal Dynamics
- Optimal Solutions use casesUse cases
Case studies from Optimal Solutions focused on food & beverage, pharmaceuticals, airlines, and finance
- Optimization via Relaxation and DecompositionBook
This book offers an up-to-date description of relaxation/approximation and decomposition techniques, demonstrating how their combined use efficiently solves large-scale optimization problems relevant to engineering, particularly in electrical, and industrial engineering, with a focus on energy.
- Optimizing with Column GenerationBook
An interesting book about Column Generation to tackle large-scale optimization problems
- optlangModeling language
Optlang is a Python package implementing a modeling language for solving mathematical optimization problems, i.e. maximizing or minimizing an objective function over a set of variables subject to a number of constraints. Optlang provides a common interface to a series of optimization tools, so different solver backends can be changed in a transparent way.
- ORTECUse cases
Customer success stories from ORTEC
- PuLPModeling language
An LP modeler written in Python
- PyomoModeling language
Python-based, open-source optimization modeling language with a diverse set of optimization capabilities.
- PyOptInterfaceModeling language
PyOptInterface is an open-source Python library to provide a unified API to construct and solve optimization models with various optimizers.
- The OR Society use casesUse cases
Business cases highlighted by The OR Society
- Timefold use casesUse cases
Customer stories of companies using Timefold for planning problems