- Rosenbrock's function
- Gradient of Rosenbrock's function
- Hessian of Rosenbrock's function
- Level sets of Rosenbrock's function
- Peaks function
- Gradient of Peak's function
- Level sets of Peaks function
- Routine for plotting successive points
- Secant linesearch algorithm
- Steepest descent
- Newton's method
- Conjugate gradient
- Quasi-Newton
- GUI demo of optimization of Rosenbrock's function
- Least squares prediction
- Recursive least squares prediction
- Adaptive recursive least squares prediction
- Random search
- Simulated annealing
- Genetic algorithm
- Simple LQR
- Pivot algorithm
- Simplex algorithm
- Two-phase simplex algorithm
- foptions.m file

- Announcements (sorted by date).
- Web page for our textbook
- Errata list for textbook (please let me know if you find other errors in the tex tbook): Postscript and PDF formats are available.
- The Declaration of Linear Independence
- Web page for EE364 at Stanford. Contains useful information on convex optimization.

Please be aware that this web page and its related links may be updated from time to time. Please report any problems to Professor Chong via email:

Professor Edwin Chong,

This document was last modified January 17, 2013.