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ISE 5230

Decomposition Techniques in Mathematical Programming

The Ohio State University 3 credits Industrial and Systems Engineering

Course Description

This course provides a description of decomposition techniques to solve large-scale optimization problems with decomposable structure. Partitioning techniques considered include Dantzig-Wolfe, Benders and Lagrangian decompositions. The considered techniques are illustrated using examples and case studies from the energy sector. Prereq: 3200 and 3210, or Grad standing.

Code
ISE 5230
Credits
3
Subject
Industrial and Systems Engineering

Programs That Include This Course

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