Find your next solver
A curated index of Operations Research resources — solvers, courses, books, datasets, communities and more. Classified by type, topic and audience.
28 resources matching
- Advanced Analytics in PracticeNewsletter
Advanced Analytics in Practice focusing on breaking down what it takes to build real-world advanced analytics applications.
- Advanced modeling for discrete optimizationCourse
Course about advanced modeling for discrete optimization, covering topics such as debugging or predicates
- AGI? No, thank you!Newsletter
AGI? No, thank you! Learning and Intelligent Optimization? Yes, please! https://intelligent-optimization.org/
- AI for Better PlanningNewsletter
Learn more about how AI is changing businesses and how you can leverage it: Insights, tools, tips, and expert voices
- 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
- Discrete Optimization courseCourse
Course about discrete optimization covering a wide range of optimization techniques such as Constraint Programming, Local Search or Column Generation
- FeasibleNewsletter
Where Operations Research practitioners share real-world strategies and emerging techniques for optimal decision-making.
- Hands-On Mathematical Optimization with PythonBook
A gentle introduction to optimization with Python.
- Impactful AnalyticsNewsletter
Analytics, Data Science, and AI - Actionable insights and thoughts to drive positive business transformation and impact.
- InsideOpt Weekly PuzzleNewsletter
One puzzle every week.
- 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.
- 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.
- Modern LP Book - DualityBook
A discussion about books focused on duality theory
- NextmvNewsletter
Roundup of Operations Research, Decision Science, and DecisionOps content from Nextmv and the optimization community
- Operations Research: an introductionBook
A book covering the basics of Operations Research
- Optimization in open-sourceNewsletter
Business Intelligence using optimal decision making tools.
- 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.
- PlannedNewsletter
Planning education for real-world stuff, the newsletter for problem solvers at scale.
- PRADO seriesNewsletter
🌟 Welcome to the Prescriptive Analytics and Decision Optimization (PRADO) Series 2025! 🌟 The series of presentations about OR in practice, tools, and technologies. 📅 Program Sneak Peek: 🎤 March: Optimizing pharmacy procurement with substitution of drugs
- Punk Rock ORNewsletter
Laura Albert’s newsletter about OR.
- 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 Decision StrategistNewsletter
Advice from a decision strategist with 19 years expertise in analytics & AI, inc. Gartner, system integrators & industry