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Spring 2022 Industrial Engineering and Operations Research E6614 section 001
OPTIMIZATION II

Call Number 13610
Day & Time
Location
MW 4:10pm-5:25pm
829 Seeley W. Mudd Building
Points 4.5
Grading Mode Standard
Approvals Required None
Instructor Daniel Bienstock
Type LECTURE
Method of Instruction In-Person
Course Description An introduction to combinatorial optimization, network flows and discrete algorithms. Shortest path problems, maximum flow problems. Matching problems, bipartite and cardinality nonbipartite. Introduction to discrete algorithms and complexity theory: NP-completeness and approximation algorithms.
Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 18 students (40 max) as of 8:03AM Saturday, June 25, 2022
Subject Industrial Engineering and Operations Research
Number E6614
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20221IEOR6614E001

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SIS update 06/25/22 08:03    web update 06/25/22 17:34