ISYE8871: Advanced Topics in Linear and Discrete Optimization

3 Credits

Topics may vary with each offering and include subjects such as integer programming, combinatorics, graphs and networks, matching, matroids, polyhedral combinatroics, as well as others.

Requisites

All Instructors

GPA: 4.00Most Common: A (100.0%)

This total includes data from semesters with unknown instructors

10 students
FDCBA


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