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.
| ISBN: | 9783319302638 |
| Publication date: | 7th June 2016 |
| Author: | Ali Emrouznejad |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 487 pages |
| Series: | Studies in Big Data |
| Genres: |
Artificial intelligence Management decision making Operational research |
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.
Big Data Optimization features in the following genres: Artificial intelligence, Management decision making, Operational research
Big Data Optimization is available in Hardback
Big Data Optimization was written by Ali Emrouznejad and published by Springer an imprint of Springer International Publishing
Big Data Optimization has 487 pages
Yes it is part of Studies in Big Data series