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Linear Optimization MATH 308 (3)
Linear programming modelling. The simplex method and its variants. Duality theory. Post-optimality analysis. Applications and software. Additional topics may include: game theory, network simplex algorithm, and convex sets. Prerequisite: MATH 150, 151, 154, or 157 and MATH 240 or 232. Quantitative.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Jozef Hales |
Sep 2 – Dec 1, 2014: Tue, 10:30 a.m.–12:20 p.m.
Sep 2 – Dec 1, 2014: Fri, 10:30–11:20 a.m. |
Burnaby Burnaby |
|
| D101 |
Sep 2 – Dec 1, 2014: Thu, 9:30–10:20 a.m.
|
Burnaby |
|
| D102 |
Sep 2 – Dec 1, 2014: Thu, 12:30–1:20 p.m.
|
Burnaby |
|
| D103 |
Sep 2 – Dec 1, 2014: Thu, 4:30–5:20 p.m.
|
Burnaby |
|
|
Abraham Punnen |
Sep 2 – Dec 1, 2014: Wed, 11:30 a.m.–12:20 p.m.
Sep 2 – Dec 1, 2014: Fri, 10:30 a.m.–12:20 p.m. |
Surrey Surrey |
|
| D202 |
Sep 2 – Dec 1, 2014: Thu, 11:30 a.m.–12:20 p.m.
|
Surrey |