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IEMS 459-0

Convex Optimization

1 Unit · Graduate

The course develops expert knowledge in the theory and algorithms for convex optimization. Emphasis is on understanding fundamental properties of convex sets and functions, and on the role of duality. Covers practical algorithms.

Prerequisites & course information

Prerequisites: Graduate students who have completed IEMS 202-0, IEMS 303-0 (or equivalent), and IEMS 450-1 or IEMS 450-2 (or equivalent).

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