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Advanced Analytics in Practice focusing on breaking down what it takes to build real-world advanced analytics applications.

Course about advanced modeling for discrete optimization, covering topics such as debugging or predicates

AGI? No, thank you! Learning and Intelligent Optimization? Yes, please! https://intelligent-optimization.org/

Learn more about how AI is changing businesses and how you can leverage it: Insights, tools, tips, and expert voices

Blog with news from the Operations Research and Optimization group at Amazon

The journal publishes 24 issues a year that focus on the theoretical, practical, and computational aspects of operations research

Course about basic modeling for discrete optimization with MiniZinc

An introduction to algorithms and computational complexity to solve combinatorial optimization problems

Operations research and computers interact in many scientific fields of vital importance to our society. These include, among others, transportation, economics, investment strategy, inventory control, logistics, safety, reliability, urban planning, and ecology. Computers & Operations Research (COR) provides an international forum for the application of computers and operations research techniques to problems in these and related fields.

Journal covering algorithmic and applied areas of discrete mathematics

Course about discrete optimization covering a wide range of optimization techniques such as Constraint Programming, Local Search or Column Generation

It is a peer-reviewed academic journal in operations research. It was founded in 1977 by the Association of European Operational Research Societies

Where Operations Research practitioners share real-world strategies and emerging techniques for optimal decision-making.

Blog with news from one of the biggest companies in the world optimizing chip making

Blog with news from Gurobi, the company behind one of the most important solvers globally

Use cases from Gurobi

A gentle introduction to optimization with Python.

Analytics, Data Science, and AI - Actionable insights and thoughts to drive positive business transformation and impact.

One puzzle every week.

It is a peer-reviewed academic journal which is published six times a year by Wiley-Blackwell on behalf of the International Federation of Operational Research Societies. The editorial mission of the journal is to advance the theory and practice of Operational Research and Management Science internationally

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness.

An introduction to Operations Research with theory from Linear Programming to simulation, passing through Nonlinear Programming, Game Theory, Metaheuristics or Network flows, among others.

It is a quarterly peer-reviewed scientific journal established in February 1976. It focuses on areas of mathematics relevant to the field of operations research such as continuous optimization, discrete optimization, game theory, machine learning, simulation methodology, and stochastic models. The journal is published by INFORMS (Institute for Operations Research and the Management Sciences)

Practical AI for business, my experience starting and selling a company, and other content.

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.

A discussion about books focused on duality theory

Roundup of Operations Research, Decision Science, and DecisionOps content from Nextmv and the optimization community

Journal about Operations Research from INFORMS

It is a bimonthly peer-reviewed academic journal covering operations research. It was established in 1981

A book covering the basics of Operations Research

Blog with news about optimization of structures and processes (including logistics planning, network planning, production planning…)

Business Intelligence using optimal decision making tools.

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.

An interesting book about Column Generation to tackle large-scale optimization problems

7-day free email course to kickstart in Operations Research.

Planning education for real-world stuff, the newsletter for problem solvers at scale.

🌟 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

Laura Albert’s newsletter about OR.

Course about all things mathematical optimization: unconstrained, LP, NLP, MIP, Global optimization, Dynamic optimization, ML for optimization, and optimization under uncertainty.

Blog about mathematical modeling with Python and Excel

Course about solving discrete optimization problems with different techniques: Constraint Programming, Mixed Integer Programming and Local Search

Advice from a decision strategist with 19 years expertise in analytics & AI, inc. Gartner, system integrators & industry

Blog about data structures and algorithms