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MATH 517 - Honours Linear Optimization.
Honours level introduction to linear optimization and its applications: duality theory, fundamental theorem, sensitivity analysis, convexity, simplex algorithm, interiorpoint methods, quadratic optimization, applications in game theory. Prerequisites: COMP 202, and MATH 223 or MATH 236 and MATH 314 or equivalent. Restrictions: Not open to students who have taken or are taking MATH 417 or MATH 487. 4.000 Credit hours Schedule Types: Lecture, Final Exam Faculty of Science Mathematics and Statistics Department

Honours level introduction to linear optimization and its applications: duality theory, fundamental theorem, sensitivity analysis, convexity, simplex algorithm, interiorpoint methods, quadratic optimization, applications in game theory.

Prerequisites: COMP 202, and MATH 223 or MATH 236 and MATH 314 or equivalent.
Restrictions: Not open to students who have taken or are taking MATH 417 or MATH 487.

4.000 Credit hours

Schedule Types: Lecture, Final Exam

Faculty of Science
Mathematics and Statistics Department

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Course Catalog Search		Fall 2021 Aug 19, 2022

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