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Overview

Mathematics & Statistics (Sci) : An introduction to linear optimization and its applications: Duality theory, fundamental theorem, sensitivity analysis, convexity, simplex algorithm, interior-point methods, quadratic optimization, applications in game theory.

Terms: Fall 2022

Instructors: Paquette, Courtney (Fall)

• Prerequisites: COMP 202, and MATH 223 or MATH 236, and MATH 314 or equivalent

• Restriction: Not open to students who have taken or are taking MATH 487 or MATH 517.