EconPapers    
Economics at your fingertips  
 

Optimization and Control for Systems in the Big Data Era: An Introduction

Tsan-Ming Choi (), Jianjun Gao (), James H. Lambert (), Chi-Kong Ng () and Jun Wang ()
Additional contact information
Tsan-Ming Choi: Institute of Textiles and Clothing, The Hong Kong Polytechnic University
Jianjun Gao: School of Information Management and Engineering, Shanghai University of Finance and Economics
James H. Lambert: University of Virginia
Chi-Kong Ng: The Chinese University of Hong Kong
Jun Wang: Business School, Qingdao University

Chapter Chapter 1 in Optimization and Control for Systems in the Big-Data Era, 2017, pp 1-6 from Springer

Abstract: Abstract The big data era is characterized by the presence of many Vs in terms of data and data usage. In this introductory chapter, we first discuss some challenges in optimization and control for systems in the presence of massive amount of data. We then introduce the papers featured in this book.

Keywords: Introduction; Big data; Optimization; Control (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-53518-0_1

Ordering information: This item can be ordered from
http://www.springer.com/9783319535180

DOI: 10.1007/978-3-319-53518-0_1

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-3-319-53518-0_1