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Big Data Optimization : Recent Developments and Challenges (Hardcover)

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Themain objective of this book is to provide the necessary background to work withbig data by introducing some novel optimization algorithms and codes capable ofworking in the big data setting as well as introducing some applications in bigdata optimization for both academics and practitioners interested, and tobenefit society, industry, academia, and government. Presenting applications ina variety of industries, this book will be useful for the researchers aiming toanalyses large scale data. Several optimization algorithms for big dataincluding convergent parallel algorithms, limited memory bundle algorithm,diagonal bundle method, convergent parallel algorithms, network analytics, andmany more have been explored in this book.

Genre: Computers + Internet, Business + Money Management
Sub-Genre: Artificial Intelligence, Operations Research
Series Title: Studies in Big Data
Format: Hardcover
Publisher: Springer Verlag
Language: English
Street Date: June 7, 2016
TCIN: 51450105
UPC: 9783319302638
Item Number (DPCI): 248-21-1277

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