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Overview

Mathematics & Statistics (Sci) : Algorithmic and structural approaches in combinatorial optimization with a focus upon theory and applications. Topics include: polyhedral methods, network optimization, the ellipsoid method, graph algorithms, matroid theory and submodular functions.

Terms: Fall 2024

Instructors: Vetta, Adrian Roshan (Fall)

• Prerequisite: MATH 350 or COMP 362 (or equivalent).

• Restriction: Not open to students who have taken or are taking COMP 552.