EE 231: Convex Optimization in Engineering Applica- tions

← 2016-17 2017-18 2018-19 →
← 2016-17 ← 2016-17 changes (lax) changes (strict) ▾ 2018-19 → 2018-19 →

Units: 4

Hours: Lecture, 3 hours; term paper, 3 hours

Catalog page 261

Description: Pre- requisite(s): EE 230. Covers recognizing and solving convex optimization problems that arise in engineering applications. Explores convex sets, functions, and optimization problems. Includes basics of convex analysis, least-squares, linear and quadratic programs, semidefinite programming, minimax, and other prob- lems. Addresses optimality conditions, duality theory, theorems of alternative and applications, interior-point methods, and applications in engineering.

Derived Information — The following is not part of the official catalog but is computed from catalog data.

Serves as a prerequisite for

EE 218
Prerequisite graph not available.
Enrollment History (from UCR Banner, not catalog)
Year F W S Su Total
2025-26 18/30 18/30
2024-25 12/30 12/30
2023-24 22/30 22/30
2021-22 23/35 23/35
2020-21 30/47 30/47
2019-20 34/50 34/50
2018-19 30/30 30/30
2017-18 24/30 24/30
2016-17 36/40 36/40