ECE 7670 Optimization Methods

This page contains information related to the ECE 7670 Optimization Methods Course.

Last Update: April 20, 2009.
Lecture: Tuesdays and Thursdays 10:00-11:15 a.m. ROOM: EITC E2-360

Course Outline, Slides and Notes:

  1. Course Outline (2009) [PDF File]
  2. Read Chapters 1 to 6.
  3. Notes on 1-D minimization, and bounding phase. [PDF]
  4. Notes on conjugate directions and Powell's method. [PDF]
  5. Notes on conjugate gradient methods. [PDF]
  6. Notes on Nelder-Mead Simplex and Hooke-Jeeves methods [PDF]
  7. Linear programming notes [PDF]
  8. Lagrange Multiplier Technique for equality constraints [PDF]
  9. Inequality Constraints [PDF]
  10. Network Problems [PDF]
  11. Neural Network Notes [PDF]
  12. Compex Gradient and Adjoint Methods [PDF]

Suggested Problems

  1. Chapters 1-6: read all problems and attempt some to see if you have an understanding of the material [Solutions]
  2. Some of my notes on 1D search algorithms [PDF]

Assignments:

  1. Assignment 1 [PDF]
  2. Assignment 2 [PDF]
  3. Assignment 3 [PDF]
  4. Assignment 4 [PDF] [Audio File]
  5. Project [PDF]
  6. EXAM DATA: [Exam_Data.mat]
    From Matlab use the command "load Exam_Data" which will create two variables named "omega" and "Data"

Archive of Previous Years

  1. 2005

Joe LoVetri, Ph.D., P.Eng.
Professor, Department of Electrical and Computer Engineering ,
Faculty of Engineering
Room E3-546, EITC, University of Manitoba
75 Chancellor's Circle, Winnipeg, Manitoba, Canada R3T 5V6
Telephone: (204) 474-6295
Facsimile: (204) 261-4639
Email: Joe_LoVetri at UManitoba dot ca