CS5321 Numerical Optimization

Class: M7 M8 R6 at EECS 127 (Spring 2011)

Instructor: Che-Rung Lee

Office hours: Wednesday 10:00-12:00

Reference books

  1. Numerical optimization, Jorge Nocedal and Stephen J. Wright (http://www.mcs.anl.gov/otc/Guide)
  2. Afternotes on Numerical Analysis, G.W. Stewart link
  3. Mathematical Optimization, MO
  4. Linear and Nonlinear Programming, Stephen G. Nash and Ariela Sofer (1996, 2005)
  5. Numerical Methods for Unconstrained Optimization and Nonlinear Equations, J. Dennis and R. Schnabel
  6. Iterative Methods for Optimization by C. T. Kelley Matlab code
  7. 2010/2/23: Matlab tutorial link is posed.

Previous class links

Prerequisites: Caculus and Linear Algebra

Announcement

Here is method that you can get the extra credits for your midterm.

Lecture:

  1. One-dimensional optimization handout
  2. Multivariable optimization handout
  3. Methods that guarantee convergence handout
  4. Quasi-Newton and conjugate gradient methods handout
  5. Least square problems handout
  6. Linear programmings handout
  7. Constrained optimization problems handout
  8. Quadratic programming, Active set method, and SQP handout
  9. Penality method and interior point method handout
  10. Filter method handout

Course requirements

Last update: 2011/5/25