Spring 2026 - MATH 808 G100
Advanced Linear Programming (4)
Class Number: 2524
Delivery Method: In Person
Overview
-
Course Times + Location:
Jan 5 – Apr 10, 2026: Wed, 3:30–5:20 p.m.
SurreyJan 5 – Apr 10, 2026: Fri, 2:30–4:20 p.m.
Surrey
-
Instructor:
Tamon Stephen
tstephen@sfu.ca
Description
CALENDAR DESCRIPTION:
Convex geometry, the simplex method and duality, pivot rules, degeneracy, decomposition and column generation methods, the complexity of linear programming and the ellipsoid algorithm, interior point methods for linear programming.
COURSE DETAILS:
In this course, we begin by reviewing the simplex method, including examples of cycling and the Klee-Minty cube, sensitivity analysis and techniques for handling large scale problems such as decompositions and column generation. We then proceed to the ellipsoid method and why it is a fundamental but problematic technique in establishing polynomial-time algorithms for linear programming and other combinatorial optimization problems. Finally, we discuss interior point methods for linear programming, including affine scaling and logarithmic barriers. Time permitting, there will be a short introduction to semidefinite programming.
Grading
- Assignments 20%
- Presentation 20%
- Midterm 20%
- Final Exam 40%
Materials
RECOMMENDED READING:
|
Introduction to Linear Optimization (by Bertsimas and Tsitsiklis) |
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
Graduate Studies Notes:
Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.
To learn more about the academic disciplinary process and relevant academic supports, visit:
- SFU’s Academic Integrity Policy: S10-01 Policy
- SFU’s Academic Integrity website, which includes helpful videos and tips in plain language: Academic Integrity at SFU
RELIGIOUS ACCOMMODATION
Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.