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
- Numerical optimization, Jorge Nocedal and Stephen J. Wright
(http://www.mcs.anl.gov/otc/Guide)
- Afternotes on Numerical Analysis, G.W. Stewart link
- Mathematical Optimization, MO
- Linear and Nonlinear Programming, Stephen G. Nash and Ariela Sofer (1996, 2005)
- Numerical Methods for Unconstrained Optimization and Nonlinear Equations, J. Dennis and R. Schnabel
- Iterative Methods for Optimization by C. T. Kelley Matlab code
- 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.
- Find typos and errors in the online handouts.
- If there are n students reporting the same error, each student gets max(1/8,1/n) points.
- There is a maximum point limit for each range of midterm grade.
- If your midterm grade is less than or equal to 60, the max you can get is 70.
- If your midterm grade in between 61 to 70, the max you can get is 80.
- If your midterm grade in between 71 to 80, the max you can get is 85.
- If your midterm grade in between 81 to 90, the max you can get is 88.
- No extra credit will be given for above 90. Only my sincere appreciation.
Lecture:
- One-dimensional optimization handout
- Multivariable optimization handout
- Methods that guarantee convergence handout
- Quasi-Newton and conjugate gradient methods handout
- Least square problems handout
- Linear programmings handout
- Constrained optimization problems handout
- Quadratic programming, Active set method, and SQP handout
- Penality method and interior point method handout
- Filter method handout
Course requirements
Last update: 2011/5/25