Introduction. Mathematical Background, including convex sets and functions. Need for constrained methods in solving constrained problems. Unconstrained optimization: Optimality conditions, Line Search Methods, Quasi-Newton Methods, Trust Region Methods. Conjugate Gradient Methods. Least Squares Problems.
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