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https://github.com/jkerfs/awesome-optimization


https://github.com/jkerfs/awesome-optimization

List: awesome-optimization

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# Awesome Optimization [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

A curated list of resources for mathematical optimization and its applications.

Maintainers - [Jeremy Kerfs](https://github.com/jkerfs)

# Courses
- [Discrete Optimization - Coursera](https://www.coursera.org/learn/discrete-optimization)
- [Approximation Algorithms Part 1 - Coursera](https://www.coursera.org/learn/approximation-algorithms-part-1)
- [Convex Optimization - Stanford](https://lagunita.stanford.edu/courses/Engineering/CVX101/Winter2014/about)
- [Combinatorial Optimization - MIT](https://ocw.mit.edu/courses/mathematics/18-433-combinatorial-optimization-fall-2003/)

# Books
- [Convex Optimization](http://stanford.edu/~boyd/cvxbook/) by Boyd and Vandenberghe

# Tools
- [Google OR-Tools](https://developers.google.com/optimization/) (C++, C#, Python, Java)
- [Scipy Optimize](https://docs.scipy.org/doc/scipy-0.18.1/reference/optimize.html) (Python)

# Papers
- [Particle Swarm Optimization](https://www.cs.tufts.edu/comp/150GA/homeworks/hw3/_reading6%201995%20particle%20swarming.pdf)
- [Ant Colony Optimization](http://www.cs.unibo.it/babaoglu/courses/cas05-06/tutorials/Ant_Colony_Optimization.pdf)

# SubFields
## Convex Optimization
## Combinatorial Optimization

# Applications
## Neural Networks