Big Data Optimization: Recent Developments and Challenges

Big Data Optimization: Recent Developments and Challenges

English | 2016 | ISBN-10: 3319302639 | 47 pages | EPUB MB

Presents recent developments and challenges in big data optimization
Collects various recent algorithms in large-scale optimization all in one book
Presents useful big data optimization applications in a variety of industries, both for academics and practitioners
Include some guideline to use cloud computing and Hadoop in large-scale and big data optimization

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

Download:

http://longfiles.com/vc4znu73k4y7/Big_Data_Optimization_Recent_Developments_and_Challenges.epub.html

[Fast Download] Big Data Optimization: Recent Developments and Challenges


Ebooks related to "Big Data Optimization: Recent Developments and Challenges" :
The Policy Driven Data Center with Aci: Architecture, Concepts, and Methodology
Handbook of Data Structures and Applications, Second Edition
Big Data in Medical Image Processing
Architectural Coordination of Enterprise Transformation
Practicing Enterprise Governance and Enterprise Engineering: Applying the Employee-Centric Theory of
SQL on Azure Succinctly
Database Step-by-Step, 2nd Edition
Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL
Innovations in Enterprise Information Systems Management and Engineering
How to Think Like A Computer Scientist Learning With Python
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.