Mar 29, 2024  
2021-2022 Catalog 
    
2021-2022 Catalog [ARCHIVED CATALOG]

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EECS 260: Optimization


Units: 4

Introduction of theory and numerical methods for continuous multivariate optimization (unconstrained and constrained), including: line-search and trust-region strategies; conjugate-gradient, Newton, quasi-Newton and large-scale methods; linear programming; quadratic programming; penalty and augmented Lagrangian methods; sequential quadratic programming; and interior-point methods.

Course Details
Repeats Allowed for Credit: 0

Laboratory included
Normal Letter Grade only

Requisites and Restrictions
Prerequisite Courses: MATH 023 and MATH 024 and MATH 141
Instructor Permission Required: No


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