Day 1- Convex Functions

Day 2- Unconstrained Optimization

Day 3- Newton-type Methods

Day 4- Constrained Optimization

Day 5- Examples of NLP Problems in Industry

Day 6- Relaxation for Global Optimization

Day 7- Analysis of KKT Conditions

Day 8- Algorithms for Constrained Optimization

Day 9- NLP Problems in Industry (Part 2)