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A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
5 resources matching
- Hands-On Mathematical Optimization with PythonBook
A gentle introduction to optimization with Python.
- 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.
- Operations Research: an introductionBook
A book covering the basics of Operations Research