Spring 2020 - MATH 808 G400
Advanced Linear Programming (4)
Class Number: 3776
Delivery Method: In Person
Overview
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Course Times + Location:
We 3:30 PM – 5:20 PM
SRYC 2990, SurreyFr 2:30 PM – 4:20 PM
SRYC 2990, Surrey
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Instructor:
Abraham Punnen
apunnen@sfu.ca
1 778 782-7611
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:
- General and standard forms of LP, Optimality condition, simplex method,
initialization and anticyclying rules - Geometry of LP (extreme point, degeneracy and representation of bounded
polyhedra) - Duality theorem, dual simplex method, Farkas’s Lemma, representation of
polyhedra - Sensitivity analysis, parametric programming
- Column generation, cutting plane methods, Dantzig-Wolfe decomposition,
Benders decomposition - Ellipsoid method and interior point method
Grading
- Assignments/Quizzes (4 @ 10% each) 40%
- Midterm test 20%
- Final Exam (In class during exam period) 40%
REQUIREMENTS:
Prerequisite: Linear Algebra
Materials
RECOMMENDED READING:
Introduction to Linear Optimization (by Bertsimas and Tsitsiklis) |
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:
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