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INTEGER OPTIMIZATION

COMPSCI/ISYE/MATH 728
Course Description

Introduces optimization problems over integers, and surveys the theory behind the algorithms used in state-of-the-art methods for solving such problems. Special attention is given to the polyhedral formulations of these problems, and to their algebraic and geometric properties. Applicability of Integer Optimization is highlighted with applications in combinatorial optimization. Key topics include: formulations, relaxations, polyhedral theory, cutting planes, decomposition, enumeration. Students are strongly encouraged to have knowledge of Linear Programming (e.g.,MATH/​COMP SCI/​I SY E/​STAT  525), including algorithms, duality and polyhedral theory.

Prerequisties

Graduate/professional standing

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.4

-0.66% from Historical

Completion Rate
95.83%

-2.63% from Historical

A Rate
41.67%

-12.04% from Historical

Class Size
24

1.05% from Historical

Instructors (2025 Fall)

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