EMIS

Catalog Description:

A presentation of optimization algorithms and applications modeling techniques for network flow problems. Topics include pure, generalized, integer, and constrained network problems, plus special cases of each, including transportation, assignment, shortest-path, transshipment, multicommodity, and nonlinear networks. Case studies illustrate the uses of network models in industry and government settings.

Goals:

Network flow problems are the most prevalent optimization models found in practice today, and this course provides a blend of theory and practice used in their solution. We build and analyze network models for a variety of industries, and develop the fundamental solution algorithms for pure, generalized, and constrained problems.

Advising Information:

Prerequisites:

EMIS 8360 or consent of instructor.

Required for:
Recent Instructor:

Dr. Eli Olinick