STMATH 408
Nonlinear Optimization
University of Washington-Bothell Campus · UGRD · Fall 2026
1 section
Catalog description
Maximize and minimize nonlinear functions, constrained and unconstrained; nonlinear programming problems and methods. Topics include: Lagrange multipliers, Kuhn-Tucker conditions, convexity, quadratic programming, steepest-descent method, and Newton and quasi-Newton methods. Prerequisite: a minimum grade of 2.0 in either STMATH 224 or MATH 224; a minimum grade of 2.0 in STMATH 300; and a minimum grade of 2.0 in STMATH 405.
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Availability not recently verifiedClass #washington_bothell_campus-1260Fall 2026UGRD5 credits
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