ENGLISH

Big Data Optimization: Recent Developments and Challenges

By Ali Emrouznejad (eds.)

Book information

Publisher
Springer International Publishing
Year
2016
ISBN
978-3-319-30263-8, 978-3-319-30265-2
DOI
10.1007/978-3-319-30265-2
Language
english
Format
PDF
Filesize
14 MB (14316287 bytes)
Series
Studies in Big Data 18
Edition
1
Pages
XV, 487\492
Time added
2016-07-20 04:00:00
Computational Intelligence; Artificial Intelligenc

Description

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.

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