Big Data Optimization: Recent Developments and Challenges
Language: English
Published by Springer International Publishing AG, 2016
- Hardcover
- Used
Seller: Better World Books Ltd, Dunfermline, United KingdomBetter World Books Ltd
AbeBooks seller since October 13, 2008
Condition: Used - Good
US$ 9.08
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Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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- Title
- Big Data Optimization: Recent Developments and Challenges
- Publisher
- Springer International Publishing AG
- Publication year
- 2016
- Condition
- Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319302639
- ISBN 13
- 9783319302638
- Item weight
- 19.288 pounds
- Dimensions
- N/A
- Series
- Book 15 of 95: Studies in Big Data
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Better World Books Ltd
Dunfermline, United Kingdom
AbeBooks seller since October 13, 2008
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