東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Optimization and control for systems...

Choi, Tsan-Ming.

Linked to FindBook

Google Book

Amazon

博客來

Optimization and control for systems in the big-data era = theory and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization and control for systems in the big-data era/ edited by Tsan-Ming Choi ... [et al.].
Reminder of title:	theory and applications /
other author:	Choi, Tsan-Ming.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	x, 280 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Big data. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-53518-0
ISBN:	9783319535180

Optimization and control for systems in the big-data era = theory and applications /
Optimization and control for systems in the big-data eratheory and applications /[electronic resource] :edited by Tsan-Ming Choi ... [et al.]. - Cham :Springer International Publishing :2017. - x, 280 p. :ill., digital ;24 cm. - International series in operations research & management science,v.2520884-8289 ;. - International series in operations research & management science ;v.252..

This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This "big data" provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems.

ISBN: 9783319535180

Standard No.: 10.1007/978-3-319-53518-0doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45 / O68 2017

Dewey Class. No.: 005.7

Optimization and control for systems in the big-data era = theory and applications /
LDR:02420nmm a2200325 a 4500 001 2100212
003 DE-He213
005 20170505085451.0
006 m d
007 cr nn 008maaau
008 180119s2017 gw s 0 eng d
020 $a 9783319535180 $q (electronic bk.)
020 $a 9783319535166 $q (paper)
024 7 $a 10.1007/978-3-319-53518-0 $2 doi
035 $a 978-3-319-53518-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45 $b O68 2017
072 7 $a KJT $2 bicssc
072 7 $a KJMD $2 bicssc
072 7 $a BUS049000 $2 bisacsh
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b O62 2017
245 0 0 $a Optimization and control for systems in the big-data era $h [electronic resource] : $b theory and applications / $c edited by Tsan-Ming Choi ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a x, 280 p. : $b ill., digital ; $c 24 cm.
490 1 $a International series in operations research & management science, $x 0884-8289 ; $v v.252
520 $a This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This "big data" provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems.
650 0 $a Big data. $3 2045508
650 1 4 $a Business and Management. $2 eflch $3 1485455
650 2 4 $a Operation Research/Decision Theory. $3 1620900
650 2 4 $a Optimization. $3 891104
650 2 4 $a Information Systems Applications (incl. Internet) $3 1565452
700 1 $a Choi, Tsan-Ming. $3 1067324
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a International series in operations research & management science ; $v v.252. $3 3241699
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-53518-0
950 $a Business and Management (Springer-41169)