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Big Data Optimization
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Big Data Optimization

Softcover reprint of the original 1st ed. 2016

Book Details

Format Paperback / Softback
ISBN-10 331980765X
ISBN-13 9783319807652
Edition Softcover reprint of the original 1st ed. 2016
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date May 30th, 2018
Print length 487 Pages
Ksh 27,000.00
Werezi Extended Catalogue 0 in stock

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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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