HN 5230

Decomposition Techniques in Mathematical

Ohio State University-Mansfield Campus · UGRD · Fall 2026

1 section

Catalog description

Programming 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.

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Class #ohio_mansfield_campus-HN5230Fall 2026UGRD3 credits

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