Big Data Optimization: Recent Developments and Challenges - Couverture rigide

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9783319302638: Big Data Optimization: Recent Developments and Challenges

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ISBN 10 : 3319302639 ISBN 13 : 9783319302638

Editeur : Springer International Publishing AG, 2016

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The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2016
Langue: anglais
ISBN 10: 3319302639
ISBN 13: 9783319302638
Reliure: Reli�
Num�ro d'�dition: 1
Nombre de pages: 502
�diteur: Emrouznejad Ali
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

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Darmstadt
64293
Allemagne

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Big Data Optimization: Recent Developments and Challenges (eng)

Emrouznejad, Ali

Edit� par Springer, 2016

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Big Data Optimization: Recent Developments and Challenges (Studies in Big Data, 18)

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ISBN 10 : 3319302639 ISBN 13 : 9783319302638

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Big Data Optimization: Recent Developments and Challenges

Emrouznejad, Ali

Edit� par Springer International Publishing, 2016

ISBN 10 : 3319302639 ISBN 13 : 9783319302638

Neuf Couverture rigide

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent developments and challenges in big data optimization Collects various recent algorithms in large-scale optimization all in one book Presents useful big data optimization applications in a variety of industries, both for academi. N� de r�f. du vendeur 117040900

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Big Data Optimization: Recent Developments and Challenges

Ali Emrouznejad

Edit� par Springer International Publishing Jun 2016, 2016

ISBN 10 : 3319302639 ISBN 13 : 9783319302638

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book. 504 pp. Englisch. N� de r�f. du vendeur 9783319302638

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Big Data Optimization: Recent Developments and Challenges

Ali Emrouznejad

Edit� par Springer International Publishing, Springer International Publishing Jun 2016, 2016

ISBN 10 : 3319302639 ISBN 13 : 9783319302638

Neuf Couverture rigide

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 504 pp. Englisch. N� de r�f. du vendeur 9783319302638

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Big Data Optimization: Recent Developments and Challenges

Ali Emrouznejad

Edit� par Springer International Publishing, 2016

ISBN 10 : 3319302639 ISBN 13 : 9783319302638

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book. N� de r�f. du vendeur 9783319302638

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