NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information. | |
Spring 2022 Electrical Engineering: Operations Research E6616 section 001 CONVEX OPTIMIZATION | |
Call Number | 13461 |
Day & Time Location |
F 1:10pm-3:40pm 627 Seeley W. Mudd Building |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Cedric Josz |
Type | LECTURE |
Method of Instruction | In-Person |
Course Description | Convex sets and functions, and operations preserving convexity. Convex optimization problems. Convex duality. Applications of convex optimization problems ranging from signal processing and information theory to revenue management. Convex optimization in Banach spaces. Algorithms for solving constrained convex optimization problems. |
Web Site | Vergil |
Department | Industrial Engineering and Operations Research |
Enrollment | 25 students (50 max) as of 8:03AM Saturday, June 25, 2022 |
Subject | Electrical Engineering: Operations Research |
Number | E6616 |
Section | 001 |
Division | School of Engineering and Applied Science: Graduate |
Campus | Morningside |
Section key | 20221EEOR6616E001 |
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