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Optimization and control for systems...
~
Choi, Tsan-Ming.
Optimization and control for systems in the big-data eratheory and applications /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Optimization and control for systems in the big-data eraedited 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$q(electronic bk.)
Optimization and control for systems in the big-data eratheory and applications /
Optimization and control for systems in the big-data era
theory and applications /[electronic resource] :edited by Tsan-Ming Choi ... [et al.]. - Cham :Springer International Publishing :2017. - x, 280 p. :ill., digital ;24 cm. - International series in operations research & management science,v.2520884-8289 ;. - International series in operations research & management science ;v. 140..
This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This "big data" provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems.
ISBN: 9783319535180$q(electronic bk.)
Standard No.: 10.1007/978-3-319-53518-0doiSubjects--Topical Terms:
609582
Big data.
LC Class. No.: QA76.9.B45 / O68 2017
Dewey Class. No.: 005.7
Optimization and control for systems in the big-data eratheory and applications /
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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.
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based on 0 review(s)
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000000143658
電子館藏
1圖書
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EB QA76.9.B45 O62 2017
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http://dx.doi.org/10.1007/978-3-319-53518-0
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