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ISBN 10: 1108842143 ISBN 13: 9781108842143
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ISBN 10: 1108842143 ISBN 13: 9781108842143
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Lingua: Inglese
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ISBN 10: 1108842143 ISBN 13: 9781108842143
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Lingua: Inglese
Editore: Cambridge University Press, 2023
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Editore: Cambridge University Press 2023-01-31, 2023
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ISBN 10: 1108842143 ISBN 13: 9781108842143
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Aggiungi al carrelloHardback. Condizione: New. Data-driven methods have become an essential part of the methodological portfolio of fluid dynamicists, motivating students and practitioners to gather practical knowledge from a diverse range of disciplines. These fields include computer science, statistics, optimization, signal processing, pattern recognition, nonlinear dynamics, and control. Fluid mechanics is historically a big data field and offers a fertile ground for developing and applying data-driven methods, while also providing valuable shortcuts, constraints, and interpretations based on its powerful connections to basic physics. Thus, hybrid approaches that leverage both methods based on data as well as fundamental principles are the focus of active and exciting research. Originating from a one-week lecture series course by the von Karman Institute for Fluid Dynamics, this book presents an overview and a pedagogical treatment of some of the data-driven and machine learning tools that are leading research advancements in model-order reduction, system identification, flow control, and data-driven turbulence closures.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
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Condizione: New. pp. 246.
Condizione: New. pp. 231.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 468 pages. 10.00x7.25x1.00 inches. In Stock.
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ISBN 10: 1108842143 ISBN 13: 9781108842143
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ISBN 10: 1108842143 ISBN 13: 9781108842143
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 93,32
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Big data and machine learning are driving profound technological progress across nearly every industry, and are rapidly shaping fluid mechanics research. This is a self-contained and pedagogical treatment of the data-driven tools that are leading research in model-order reduction, system identification, flow control, and turbulence closures.
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Da: Rarewaves.com UK, London, Regno Unito
EUR 107,14
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Aggiungi al carrelloHardback. Condizione: New. Data-driven methods have become an essential part of the methodological portfolio of fluid dynamicists, motivating students and practitioners to gather practical knowledge from a diverse range of disciplines. These fields include computer science, statistics, optimization, signal processing, pattern recognition, nonlinear dynamics, and control. Fluid mechanics is historically a big data field and offers a fertile ground for developing and applying data-driven methods, while also providing valuable shortcuts, constraints, and interpretations based on its powerful connections to basic physics. Thus, hybrid approaches that leverage both methods based on data as well as fundamental principles are the focus of active and exciting research. Originating from a one-week lecture series course by the von Karman Institute for Fluid Dynamics, this book presents an overview and a pedagogical treatment of some of the data-driven and machine learning tools that are leading research advancements in model-order reduction, system identification, flow control, and data-driven turbulence closures.
Condizione: New. pp. 340.
Da: Buchpark, Trebbin, Germania
EUR 102,13
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 340 | Sprache: Englisch | Produktart: Bücher | The book focuses on the physical and mathematical foundations of model-based turbulence control: reduced-order modelling and control design in simulations and experiments. Leading experts provide elementary self-consistent descriptions of the main methods and outline the state of the art. Covered areas include optimization techniques, stability analysis, nonlinear reduced-order modelling, model-based control design as well as model-free and neural network approaches. The wake stabilization serves as unifying benchmark control problem.
Condizione: New. pp. 327 2011th edition.
Da: preigu, Osnabrück, Germania
EUR 140,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Reduced-Order Modelling for Flow Control | Bernd R. Noack (u. a.) | Taschenbuch | x | Englisch | 2013 | Springer | EAN 9783709111147 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book focuses on the physical and mathematical foundations of model-based turbulence control: reduced-order modelling and control design in simulations and experiments. Leading experts provide elementary self-consistent descriptions of the main methods and outline the state of the art. Covered areas include optimization techniques, stability analysis, nonlinear reduced-order modelling, model-based control design as well as model-free and neural network approaches. The wake stabilization serves as unifying benchmark control problem.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book focuses on the physical and mathematical foundations of model-based turbulence control: reduced-order modelling and control design in simulations and experiments. Leading experts provide elementary self-consistent descriptions of the main methods and outline the state of the art. Covered areas include optimization techniques, stability analysis, nonlinear reduced-order modelling, model-based control design as well as model-free and neural network approaches. The wake stabilization serves as unifying benchmark control problem.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 225,47
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2011 edition. 338 pages. 9.20x6.10x0.73 inches. In Stock.