Optimization Theory and Methods: Nonlinear Programming (Springer Optimization and Its Applications)

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Optimization Theory and Methods: Nonlinear Programming / Edition 1

It systematically describes optimization theory and several powerful methods, including recent results. The book deals with both theory and algorithms of optimization concurrently. It also contains an extensive bibliography with references. Finally, apart from its use for teaching, Optimization Theory and Methods is also very beneficial for doing research.

Optimization theory and methods: Nonlinear programming

Audience This book is intended for senior students, graduates, teachers, and researchers in optimization, operations research, computational mathematics, applied mathematics, and some engineering and economics. It will also be useful for scientists in engineering and economics.

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FAQ Policy. It systematically describes optimization theory and several powerful methods, including recent results. The book deals with both theory and algorithms of optimization concurrently.

It also contains an extensive bibliography with references. Finally, apart from its use for teaching, Optimization Theory and Methods is also very beneficial for doing research. Audience This book is intended for senior students, graduates, teachers, and researchers in optimization, operations research, computational mathematics, applied mathematics, and some engineering and economics.

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Show all. From the reviews: "The book contains a comprehensive presentation of methods for unconstrained and constrained optimization problems.

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Table of contents 14 chapters Table of contents 14 chapters Introduction Pages Line Search Pages Conjugate Gradient Method Pages Quasi-Newton Methods Pages

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