IE 411

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Credit: 3 OR 4 hours.

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.

3 undergraduate hours. 3 or 4 graduate hours. Prerequisite: IE 310 and MATH 415.

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