Big Data Optimization: Recent Developments and Challenges

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181,89 

Studies in Big Data 18

ISBN: 3319302639
ISBN 13: 9783319302638
Herausgeber: Ali Emrouznejad
Verlag: Springer Verlag GmbH
Umfang: xv, 487 S., 22 s/w Illustr., 160 farbige Illustr., 487 p. 182 illus., 160 illus. in color.
Erscheinungsdatum: 07.06.2016
Auflage: 1/2016
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 9058726 Kategorie:

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Springer Verlag GmbH
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E-Mail: juergen.hartmann@springer.com

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