Prerequisites:
3-0-0-9
Course Contents
Classical optimization methods, unconstrained minimization; Univariate, conjugate direction, gradient and variable metric methods, constrained minimization, Feasible direction and projections. Integer and Geometric programming, genetic algorithms, simulated annealing techniques, design applications.
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