Find your next solver
A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
- Advanced modeling for discrete optimizationCourse
Course about advanced modeling for discrete optimization, covering topics such as debugging or predicates
- AIMMS use casesUse cases
Case studies from AIMMS
- AMPL use casesUse cases
Optimization problems in businesses using AMPL
- Basic modeling for discrete optimizationCourse
Course about basic modeling for discrete optimization with MiniZinc
- 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
- DecisionBrain use casesUse cases
A track record of successful deployments in several countries across the globe from DecisionBrain
- Discrete Optimization courseCourse
Course about discrete optimization covering a wide range of optimization techniques such as Constraint Programming, Local Search or Column Generation
- FICO use casesUse cases
The Resource Center of use cases done with FICO
- GAMS use casesUse cases
A selection of case studies that demonstrate the diverse application areas of mathematical optimization with GAMS.
- 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.
- 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.
- 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
- OR from 0 to 1Course
7-day free email course to kickstart in Operations Research.
- ORTECUse cases
Customer success stories from ORTEC
- RWTHx: Mathematical Optimization for EngineersCourse
Course about all things mathematical optimization: unconstrained, LP, NLP, MIP, Global optimization, Dynamic optimization, ML for optimization, and optimization under uncertainty.
- Solving algorithms for discrete optimizationCourse
Course about solving discrete optimization problems with different techniques: Constraint Programming, Mixed Integer Programming and Local Search
- 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