Big Data Optimization: Recent Developments and Challenges

Business & Finance, Management & Leadership, Operations Research, Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Big Data Optimization: Recent Developments and Challenges by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319302652
Publisher: Springer International Publishing Publication: May 26, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319302652
Publisher: Springer International Publishing
Publication: May 26, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Sustainable Design and Manufacturing 2016 by
Cover of the book Soft Computing Applications for Group Decision-making and Consensus Modeling by
Cover of the book Pulmonary Dysfunction and Disease by
Cover of the book Advanced Pancreaticobiliary Endoscopy by
Cover of the book Principles of Management by
Cover of the book Obesity, Type 2 Diabetes and the Adipose Organ by
Cover of the book Robot Path Planning and Cooperation by
Cover of the book Critical Learning in Digital Networks by
Cover of the book Advances in Knowledge Discovery and Management by
Cover of the book Neural Information Processing by
Cover of the book Designing Thriving Systems by
Cover of the book Model-Free Prediction and Regression by
Cover of the book The Rasputin Effect: When Commensals and Symbionts Become Parasitic by
Cover of the book Immunogenetics of Fungal Diseases by
Cover of the book Biology and Biotechnology of Actinobacteria by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy