Provides readers with a working knowledge of optimization theory and techniques to equip them with sufficient background for further study of advanced topics in this subject. Reviews basic definitions, notations and relations from linear algebra, geometry and calculus, followed by unconstrained optimization problems. The last two segments deal with constrained optimization. Features scores of worked examples that illustrate the theory and algorithms discussed in the text.

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