Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Peer-reviewed contributions that focus on the use of DDDAS for various applications:Benefit: Future readers can quickly see the areas of contribution in a single (hardback volume) which can be available in librariesSubmissions from l. Bestandsnummer des Verk�ufers 458554116

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Handbook of Dynamic Data Driven Applications Systems: Volume 1

Verlag: Springer, 2022

ISBN 10: 3030745678 ISBN 13: 9783030745677

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Zustand: New. In. Bestandsnummer des Verk�ufers ria9783030745677_new

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Handbook of Dynamic Data Driven Applications Systems: Volume 1

Blasch, Erik P. (Edited by)/ Darema, Frederica (Edited by)/ Ravela, Sai (Edited by)/ Aved, Alex J. (Edited by)

Verlag: Springer, 2022

ISBN 10: 3030745678 ISBN 13: 9783030745677

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Hardcover. Zustand: Brand New. 2nd edition. 776 pages. 9.25x6.10x1.63 inches. In Stock. This item is printed on demand. Bestandsnummer des Verk�ufers __3030745678

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Handbook of Dynamic Data Driven Applications Systems

Erik P. Blasch

Verlag: Springer International Publishing, Springer International Publishing Mai 2022, 2022

ISBN 10: 3030745678 ISBN 13: 9783030745677

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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies.Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal:The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents' Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University 776 pp. Englisch. Bestandsnummer des Verk�ufers 9783030745677

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Handbook of Dynamic Data Driven Applications Systems : Volume 1

Erik P. Blasch

Verlag: Springer International Publishing, Springer Nature Switzerland, 2022

ISBN 10: 3030745678 ISBN 13: 9783030745677

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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies.Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal:The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents' Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University. Bestandsnummer des Verk�ufers 9783030745677

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