Big Data Optimization: Recent Developments and Challenges (Studies in Big Data, 18)

Ali Emrouznejad

ISBN 10: 331980765X / ISBN 13: 9783319807652

Published by Springer International Publishing, 2018

About this Item

All orders ship by next business day! This is a new book. We are a small company and very thankful for your business! Softcover reprint of the original 1st ed.

Seller Inventory # 4CNZE90008WL

Bibliographic Details

• Title: Big Data Optimization: Recent Developments and Challenges (Studies in Big Data, 18)
• Publisher: Springer International Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 331980765X
• ISBN 13: 9783319807652
• Binding: Paperback
• Condition: New

About this title

Synopsis

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.