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IE 411 A - Optimization of Large Systems

Campus: Urbana-Champaign

Description:

Practical methods of optimization of large-scale linear systems including extreme point algorithms, duality theory, parametric linear programming, generalized upper bounding technique, price-directive and resource-directive decomposition techniques, Lagrangian duality, Karmarkar's algorithm, applications in engineering systems, and use of state-of-the-art computer codes. Course Information: 3 undergraduate hours. 3 or 4 graduate hours. Prerequisite: IE 310 and MATH 415.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 3

Term(s): Fall


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