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Condition: New.
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Hardback or Cased Book. Condition: New. Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov. Book.
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Condition: As New. Unread book in perfect condition.
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Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 53.97
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Add to basketHardback. Condition: New.
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Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Encuadernación de tapa dura. Condition: Muy Bien. 2? Edición.
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Encuadernación de tapa dura. Condition: Muy Bien. 2? Edición.
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Nonsmooth Optimization In Honor Of The 6
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. 116.
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Nonsmooth Optimization In Honor Of The 6
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketHardback. Condition: New.
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Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and Semi-Supervised Learning)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Very Good.
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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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Add to basketHardcover. Condition: New. New. book.
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Condition: New. pp. 392.
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Introduction to Nonsmooth Optimization: Theory, Practice and Software
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Condition: New. pp. 392.
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Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and Semi-Supervised Learning)
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Numerical Nonsmooth Optimization (Paperback)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030349128 ISBN 13: 9783030349127
Paperback. Condition: new. Paperback. 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 problems 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New.
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Numerical Nonsmooth Optimization (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030349098 ISBN 13: 9783030349097
Hardcover. Condition: new. Hardcover. 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 problems 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New.
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