COMPUTATIONAL OPTIMIZATION   [Archived Catalog]
2020-2021 Graduate & Professional Studies Catalog
   

IE 3051 - COMPUTATIONAL OPTIMIZATION


Minimum Credits: 3
Maximum Credits: 3
This course addresses issues arising in the implementation of optimization algorithms. Computational strategies and techniques will be explored. A major emphasis will be placed on implementing various algorithms for large- scale linear, nonlinear, and integer programs. Such algorithms include benders' decomposition, Dantzig-Wolfe decomposition, Lagrangian relaxation and algorithms for specially-structured problems.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: PROG: Swanson School of Engineering


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