ENEE662

Convex Optimization

Reviews for this course Testudo

Recommended: MATH410. Credit only granted for: ENEE759F or ENEE662. Focuses on recognizing, solving, and analyzing convex optimization problems. Convex sets, convex functions, convex and quasi-convex optimization problems. Duality theory and optimality conditions. Specific classes of problems including linear optimization (LP), semi-definite optimization (SDP), geometric programming. Algorithms for unconstrained and constrained optimization; interior-point methods. Applications in controls, communications, signal processing, statistics, and other areas.

Fall 2024

Nuno Martins

7 reviews
Average rating: 2.71

Fall 2023

Nuno Martins

7 reviews
Average rating: 2.71

Past Semesters

Michael Rotkowitz

0 reviews
Average rating: N/A

Richard La

13 reviews
Average rating: 2.85

John Baras

3 reviews
Average rating: 1.00

Nuno Martins

7 reviews
Average rating: 2.71

Sennur Ulukus

5 reviews
Average rating: 3.80

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