ME 4434 - Metamodeling and Optimization Methods in Design

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Fundamentals of metamodeling and optimization with emphasis on practical design applications. Topics include design of experiments, Latin hypercube design, orthogonal arrays, metamodeling fundamentals, radial basis functions, Kriging, convex and non-convex sets, classification of optimization problems, gradient descent and Newton’s methods, KKT conditions, and genetic algorithms. Cross-listed with ISE 4434, ISE 5434, SYS 5434.
Additional Requirement(s): Major standing