by Harald E. Krogstad.

1. Basic Mathematical Tools
2. Low-dimensional, unconstrained problems
3. SteepestDescent Slides
4. Trust Region Quadratic Problem
5. CG Presentation
6. Notes about the Conjugate Gradient method
7. SD and CG MATLAB Demos
8. Least Square optimization note
9. Matlab Toolbox: Unconstrained Optimization
10. Karush-Kuhn-Tucker Theorem
11. Linear Programming Note, LP Slides and LP in Matlab
12. LP Network Simulation
13. Quadratic Programming Note, QP Slides and QP in Matlab
14. Penalty and Barrier Methods
15. Inverse Problems
16. About Thm. A13 in Troutman
17. Brachistochrone, Optimal Fuel Consumption (Prob. 3.39) and Optimal Production Strategy.
18. Variational Formulations in Mechanics and Variational Calculus And Sport
19. Problem 3.29 in Troutman
20. Variational Calculus, PDE and the FE method and Optimal Exam Preparation