Da: RAMÓN PIGNATELLI, Zaragoza, Z, Spagna
EUR 23,13
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Aggiungi al carrelloEncuadernación de tapa dura. Condizione: Muy Bien. 2? Edición.
Da: RAMÓN PIGNATELLI, Zaragoza, Z, Spagna
EUR 23,13
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Aggiungi al carrelloEncuadernación de tapa dura. Condizione: Muy Bien. 2? Edición.
hardcover. Condizione: Very Good.
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Condizione: New. pp. 392.
EUR 139,33
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Aggiungi al carrelloCondizione: New. pp. 392.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 135,64
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
EUR 143,20
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. pp. 392.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 155,04
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 147,51
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Da: California Books, Miami, FL, U.S.A.
EUR 165,01
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Da: preigu, Osnabrück, Germania
EUR 94,00
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Partitional Clustering via Nonsmooth Optimization | Clustering via Optimization | Adil M. Bagirov (u. a.) | Taschenbuch | xx | Englisch | 2021 | Springer | EAN 9783030378288 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the eld and it is well suited for practitioners already familiar with the basics of optimization. This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3030378284 ISBN 13: 9783030378288
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization.
Da: California Books, Miami, FL, U.S.A.
EUR 175,44
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030349128 ISBN 13: 9783030349127
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: 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.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 182,64
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 182,84
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2016
ISBN 10: 331934627X ISBN 13: 9783319346274
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily dierentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of dierent problems arising in the eld. It is organized into three parts:1. convex and nonconvex analysis and the theory of NSO;2. test problems and practical applications;3. a guide to NSO software.The book is ideal for anyone teaching or attending NSO courses. As an accessible introduction to the eld, it is also well suited as an independent learning guide for practitioners already familiar with the basics of optimization. This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily dierentiable optimization). The book covers both the theory and the numerical methods used in NSO and provide an overview of dierent problems arising in the eld. a guide to NSO software.The book is ideal for anyone teaching or attending NSO courses. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 168,51
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. New. book.
Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 183,11
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 183,49
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2014
ISBN 10: 3319081136 ISBN 13: 9783319081137
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily dierentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of dierent problems arising in the eld. It is organized into three parts:1. convex and nonconvex analysis and the theory of NSO;2. test problems and practical applications;3. a guide to NSO software.The book is ideal for anyone teaching or attending NSO courses. As an accessible introduction to the eld, it is also well suited as an independent learning guide for practitioners already familiar with the basics of optimization. This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily dierentiable optimization). The book covers both the theory and the numerical methods used in NSO and provide an overview of dierent problems arising in the eld. a guide to NSO software.The book is ideal for anyone teaching or attending NSO courses. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 392.
Da: California Books, Miami, FL, U.S.A.
EUR 205,83
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030349098 ISBN 13: 9783030349097
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: 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.