Published by Wiley & Sons, Incorporated, John, 1995
ISBN 10: 0471089494 ISBN 13: 9780471089490
Language: English
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Published by Wiley & Sons, Incorporated, John, 1995
ISBN 10: 0471089494 ISBN 13: 9780471089490
Language: English
Seller: Better World Books, Mishawaka, IN, U.S.A.
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Published by Wiley-Interscience (edition 2), 2001
ISBN 10: 0471391263 ISBN 13: 9780471391265
Language: English
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Add to basketHardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Add to basketCondition: New. Edwin K. P. Chong, PhD, is Professor and Head of Electrical and Computer Engineering and Professor of Mathematics at Colorado State University. He is a Fellow of the IEEE and AAAS, and was Senior Editor of the IEEE Transactions on Automatic Control.Wu-Sheng.
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Add to basketHardcover. Condition: Very Good. 4th Edition. EXCELLENT CONDITION!!! No markings. No highlighting. No missing pages. No worn-out pages.
Published by John Wiley and Sons Inc, US, 2023
ISBN 10: 1119877636 ISBN 13: 9781119877639
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. 5th. An Introduction to Optimization Accessible introductory textbook on optimization theory and methods, with an emphasis on engineering design, featuring MATLAB® exercises and worked examples Fully updated to reflect modern developments in the field, the Fifth Edition of An Introduction to Optimization fills the need for an accessible, yet rigorous, introduction to optimization theory and methods, featuring innovative coverage and a straightforward approach. The book begins with a review of basic definitions and notations while also providing the related fundamental background of linear algebra, geometry, and calculus. With this foundation, the authors explore the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization, and applications of optimization in machine learning. Numerous diagrams and figures found throughout the book complement the written presentation of key concepts, and each chapter is followed by MATLAB® exercises and practice problems that reinforce the discussed theory and algorithms. The Fifth Edition features a new chapter on Lagrangian (nonlinear) duality, expanded coverage on matrix games, projected gradient algorithms, machine learning, and numerous new exercises at the end of each chapter. An Introduction to Optimization includes information on: The mathematical definitions, notations, and relations from linear algebra, geometry, and calculus used in optimizationOptimization algorithms, covering one-dimensional search, randomized search, and gradient, Newton, conjugate direction, and quasi-Newton methodsLinear programming methods, covering the simplex algorithm, interior point methods, and duality Nonlinear constrained optimization, covering theory and algorithms, convex optimization, and Lagrangian dualityApplications of optimization in machine learning, including neural network training, classification, stochastic gradient descent, linear regression, logistic regression, support vector machines, and clustering. An Introduction to Optimization is an ideal textbook for a one- or two-semester senior undergraduate or beginning graduate course in optimization theory and methods. The text is also of value for researchers and professionals in mathematics, operations research, electrical engineering, economics, statistics, and business.