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Winter 2022
Jul 02, 2022
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Sections Found
Optimization. - 3427 - MATH 560 - 001
Line search methods including steepest descent, Newton's (and Quasi-Newton) methods. Trust region methods, conjugate gradient method, solving nonlinear equations, theory of constrained optimization including a rigorous derivation of Karush-Kuhn-Tucker conditions, convex optimization including duality and sensitivity. Interior point methods for linear programming, and conic programming.

Prerequisite: Undergraduate background in analysis and linear algebra, with instructor's approval

Associated Term: Winter 2022
Registration Dates: Jun 01, 2021 to Jan 18, 2022

Lecture Schedule Type
4.000 Credits
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Scheduled Meeting Times
Time Days Where Date Range Schedule Type Instructors
10:05 am - 11:25 am TR Macdonald Engineering Building 279 Jan 05, 2022 - Apr 12, 2022 Lecture Courtney Paquette



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