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Mathematics (MATH) Courses Listing - Linear Programming and Applications

Mathematics 3331 Linear Programming and Applications
Linear programming including simplex methods, sensitivity analysis, the duality theorem, complementary slackness, and the dual simplex method. Integer programming. Selected topics from: interior point method, quadratic programming, network flows, transportation algorithms, and two-person zero-sum games.
Credit Weight: 0.5
Prerequisite(s): One of Mathematics 1071, 2255 or 2070; or permission of the Chair of the Department
Offering: 3-0; 0-0
Course Classifications: Type C: Engineering, Mathematical and Natural Sciences