Day 1- Convex Sets and Functions

Day 2- Unconstrained Optimization

Day 3- Newton-type Methods

Day 4- Examples of NLP Problems in Industry

Day 5- Constrained Optimization

Day 6- Analysis of KKT Conditions

Day 7- Algorithms for Constrained Optimization

Day 8- Relaxation for Global Optimization

Day 9- Alternative Formulations for a Problem