Spring 2023 Industrial Engineering and Operations Research E6614 section 001

OPTIMIZATION II

Call Number 11643
Day & Time
Location
MW 10:10am-11:25am
829 Seeley W. Mudd Building
Points 4.5
Grading Mode Standard
Approvals Required None
Instructor Eric Balkanski
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 22 students (40 max) as of 1:06PM Friday, April 19, 2024
Subject Industrial Engineering and Operations Research
Number E6614
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Graduate, GSAS
Campus Morningside
Section key 20231IEOR6614E001