Big data optimization [electronic resource] : recent developments and challenges / Ali Emrouznejad, editor.
2016
QA76.9.B45
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Online Access
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Unlimited
Authorized users
Authorized users
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Can lend chapters, not whole ebooks
Details
Title
Big data optimization [electronic resource] : recent developments and challenges / Ali Emrouznejad, editor.
ISBN
9783319302652 (electronic book)
3319302655 (electronic book)
9783319302638
3319302655 (electronic book)
9783319302638
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xv, 487 pages) : illustrations.
Call Number
QA76.9.B45
Dewey Decimal Classification
005.7
Summary
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.
Note
Includes index.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 7, 2016).
Added Author
Emrouznejad, Ali., editor.
Series
Studies in big data ; v. 18.
Available in Other Form
Big data optimization : recent developments and challenges.
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Online Access
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