MATH 417 Linear Optimization
3 credits · Mathematics and Statistics · Faculty of Science · Offered: Fall
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.
Prerequisites
COMP 202, and MATH 223 or MATH 236, and MATH 314 or equivalent
Prerequisite courses: COMP 202, MATH 223, MATH 236, MATH 314
Restrictions
Not open to students who have taken or are taking MATH 487 or MATH 517.
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