awesome-optimization
github.com/ebrahimpichka/awesome-optimization ↗A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me dynamic programming and reinforcement learning resources from awesome-optimization"
Installation instructions →What's inside
Video Lectures and Courses
- 2018 versionDynamic Programming and Reinforcement Learning
- additional lecturesOptimization Algorithms
- Advanced modeling for discrete optimizationDiscrete, Combinatorial, and Integer Optimization
- Advanced Operations Research - NPTELOperations Research
NPTEL
- An Introduction To Constraint ProgrammingConstraint Programming
Jacob Allen
- Arizona Math Camp: OptimizationContinuous Optimization
Books and Lecture notes
Solvers, Tools, and Libraries
- AMPLTools and Libraries
Algebraic modeling language, both linear/integer and constraint programming.
- BARONSolvers
The Optimization Firm
- benchfunSolvers
Benchmark functions for testing numerical optimization algorithms in Rust.
- CBCSolvers
COIN-OR Branch and Cut
- COIN-ORTools and Libraries
- ConcordeSolvers
UWaterloo
Other Resources
- BOTorchCode Repositories
- CORSEvents, Societies, and Conferences
Canadian Operational Research Society
- CO@WorkEvents, Societies, and Conferences
Optimization course with a focus on computational aspects, industrial applications and networking (2024, 2020, 2015, 2009, 2005)
- CPAIOREvents, Societies, and Conferences
Integration of Constraint Programming, Artificial Intelligence, and Operations Research.
- CP ConferenceEvents, Societies, and Conferences
Principles and Practice of Constraint Programming.
- cvxpyCode Repositories
Showing a sample of 150 resources. View the full list on GitHub →