Course Websites
IE 521 - Convex Optimization
Last offered Fall 2023
Official Description
Finite dimensional convex optimization problems; characterization of optimal solutions; iterative algorithms for differentiable and nondifferentiable problems; distributed optimization algorithms; robust problems and solutions; applications of convex optimization models. Course Information: 4 graduate hours. No professional credit. Prerequisite: ECE 490 or IE 411; MATH 416; MATH 444.
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Documents
Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
---|---|---|---|---|---|---|---|---|
Convex Optimization | A | 60067 | LCD | 4 | 1300 - 1420 | M W | 218 Ceramics Building | Roy Dong |