IEM 6033

Linear Optimization

Oklahoma State University · UGRD · Fall 2026

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Description: Mathematical theory of linear optimization and the implications for algorithm development. Fundamentals of convex analysis, polyhedral sets, development of the simplex method, Farkas’ lemma, development of duality theory, sensitivity analysis, Dantzig-Wolfe decomposition, Benders decomposition, interior point algorithms. Previously offered as IEM 5033.

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Class #oklahoma_state-4630Fall 2026UGRD
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