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Introduction to nonlinear optimization : theory, algorithms and applications with MATLAB

By: Beck, Amir.
Series: MOS-SIAM series on optimization.Publisher: Hyderabad : Society for Industrial and Applied Mathematics (SIAM), 2014Description: xii, 282 p. ; ill., 25 cm.ISBN: 9789386235350.Subject(s): MATLAB | Nonlinear theories | Cauchy-Schwarz inequality | Convex function | Dual problem | KKT conditions | Newton's method | Numpy; Objective function | Orthogonal projection | Quadratic function | Stationary pointDDC classification: 519.6 Summary: This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization-theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual problems--and rigorously and gradually builds the connection between theory, algorithms, applications, and implementation.
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Books 519.6 BEC (Browse shelf) Available 034563

Includes bibliographical references and index.

This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization-theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual problems--and rigorously and gradually builds the connection between theory, algorithms, applications, and implementation.

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