书目名称 | Optimization and Control for Systems in the Big-Data Era |
副标题 | Theory and Applicati |
编辑 | Tsan-Ming Choi,Jianjun Gao,Jun Wang |
视频video | |
概述 | Focuses on big data in optimal control and systems engineering and how big data can provide new opportunities to improve decision making.Offers a well-balanced set of chapters that span theoretical re |
丛书名称 | International Series in Operations Research & Management Science |
图书封面 |  |
描述 | .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. T |
出版日期 | Book 2017 |
关键词 | Big Data; Data-Driven Optimal Control Applications; Optimal Control; Optimization; Risk Analysis; Systems |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-53518-0 |
isbn_softcover | 978-3-319-85171-6 |
isbn_ebook | 978-3-319-53518-0Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
issn_series | 0884-8289 |
copyright | Springer International Publishing AG 2017 |