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hardcover. 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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Numerical Nonsmooth Optimization: State of the Art Algorithms
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Numerical Nonsmooth Optimization: State of the Art Algorithms
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Numerical Nonsmooth Optimization : State of the Art Algorithms
Published by Springer International Publishing, 2020
ISBN 10: 3030349098 ISBN 13: 9783030349097
Language: English
US$ 140.69
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Numerical Nonsmooth Optimization : State of the Art Algorithms
Published by Springer International Publishing, 2021
ISBN 10: 3030349128 ISBN 13: 9783030349127
Language: English
US$ 232.40
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Solving nonsmooth optimization (NSO) problems is critical in many practical applications and real-world modeling systems. The aim of this book is to survey various numerical methods for solving NSO problems and to provide an overview of the latest developments in the field. Experts from around the world share their perspectives on specific aspects of numerical NSO.The book is divided into four parts, the first of which considers general methods including subgradient, bundle and gradient sampling methods. In turn, the second focuses on methods that exploit the problem's special structure, e.g. algorithms for nonsmooth DC programming, VU decomposition techniques, and algorithms for minimax and piecewise differentiable problems. The third part considers methods for special problems like multiobjective and mixed integer NSO, and problems involving inexact data, while the last part highlights the latest advancements in derivative-free NSO.Given its scope, the book isideal for students attending courses on numerical nonsmooth optimization, for lecturers who teach optimization courses, and for practitioners who apply nonsmooth optimization methods in engineering, artificial intelligence, machine learning, and business. Furthermore, it can serve as a reference text for experts dealing with nonsmooth optimization.
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Numerical Nonsmooth Optimization : State of the Art Algorithms
Published by Springer International Publishing, 2020
ISBN 10: 3030349098 ISBN 13: 9783030349097
Language: English
US$ 232.40
Convert currencyUS$ 77.48 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Solving nonsmooth optimization (NSO) problems is critical in many practical applications and real-world modeling systems. The aim of this book is to survey various numerical methods for solving NSO problems and to provide an overview of the latest developments in the field. Experts from around the world share their perspectives on specific aspects of numerical NSO.The book is divided into four parts, the first of which considers general methods including subgradient, bundle and gradient sampling methods. In turn, the second focuses on methods that exploit the problem's special structure, e.g. algorithms for nonsmooth DC programming, VU decomposition techniques, and algorithms for minimax and piecewise differentiable problems. The third part considers methods for special problems like multiobjective and mixed integer NSO, and problems involving inexact data, while the last part highlights the latest advancements in derivative-free NSO.Given its scope, the book isideal for students attending courses on numerical nonsmooth optimization, for lecturers who teach optimization courses, and for practitioners who apply nonsmooth optimization methods in engineering, artificial intelligence, machine learning, and business. Furthermore, it can serve as a reference text for experts dealing with nonsmooth optimization.
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Add to basketPaperback. Condition: Brand New. 715 pages. 9.25x6.10x1.44 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 698 pages. 9.25x6.25x1.50 inches. In Stock.
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