Day 1- Convex Sets and Functions
Day 2- Unconstrained Optimization
Day 3- Newton-type Methods
Day 4- Constrained Optimization
Day 5- Examples of NLP Problems in Industry
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