Applications

This section contains self-sufficient examples of numerical applications with Python code. Most of the examples are covered in the Boyd book. There are also some very useful link about applications with code:

A^* algorithm for path finding

Deep learning

Knapsack problem

Linear least squares

Maximum likelihood estimation

Minimum volume ellipsoid

Neural Network Loss Surface Visualization

Neural network Lipschitz constant

Principal component analysis

Rendezvous problem

Total variation in-painting

Travelling salesman problem

Two way partitioning problem