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A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
10 resources matching
- AIMMS use casesUse cases
Case studies from AIMMS
- AMPL use casesUse cases
Optimization problems in businesses using AMPL
- 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
- 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.
- Operations Research: an introductionBook
A book covering the basics of Operations Research
- ORTECUse cases
Customer success stories from ORTEC