Model Reduction of Complex Dynamical Systems: 171 (International Series of Numerical Mathematics) - Tapa blanda

9783030729851: Model Reduction of Complex Dynamical Systems: 171 (International Series of Numerical Mathematics)

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ISBN 10: 3030729850 ISBN 13: 9783030729851

Editorial: Birkh�user, 2022

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EditorialBirkh�user
A�o de publicaci�n2022
ISBN 10 3030729850
ISBN 13 9783030729851
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas432
EditorBenner Peter, Breiten Tobias, Fa�bender Heike, Hinze Michael, Stykel Tatjana, Zimmermann Ralf

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9783030729820: Model Reduction of Complex Dynamical Systems: 171 (International Series of Numerical Mathematics)

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Model Reduction of Complex Dynamical Systems

Publicado por Springer International Publishing, 2022

ISBN 10: 3030729850 ISBN 13: 9783030729851

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the latest research on model order reduction of complex dynamical systemsFeatures contributions from leading researchers and users of model order reduction techniquesOffers an ideal resource for graduate students and researchers in. N� de ref. del art�culo: 668444416

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Model Reduction of Complex Dynamical Systems (International Series of Numerical Mathematics)

Publicado por Birkh�user, 2022

ISBN 10: 3030729850 ISBN 13: 9783030729851

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Condici�n: New. In. N� de ref. del art�culo: ria9783030729851_new

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Model Reduction of Complex Dynamical Systems

Peter Benner

Publicado por Springer International Publishing Aug 2022, 2022

ISBN 10: 3030729850 ISBN 13: 9783030729851

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on time-dependent problems. Chapters are written by leading researchers and users of model order reduction techniques and are based on presentations given at the 2019 edition of the workshop series Model Reduction of Complex Dynamical Systems - MODRED, held at the University of Graz in Austria. The topics considered can be divided into five categories:system-theoretic methods, such as balanced truncation, Hankel norm approximation, and reduced-basis methods;data-driven methods, including Loewner matrix and pencil-based approaches, dynamic mode decomposition, and kernel-based methods;surrogate modeling for design and optimization, with special emphasis on control and data assimilation;model reduction methods in applications, such as control and network systems, computational electromagnetics, structural mechanics, and fluid dynamics; andmodel order reduction software packages and benchmarks.This volume will be an ideal resource for graduate students and researchers in all areas of model reduction, as well as those working in applied mathematics and theoretical informatics. 432 pp. Englisch. N� de ref. del art�culo: 9783030729851

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Model Reduction of Complex Dynamical Systems

Peter Benner

Publicado por Springer International Publishing, 2022

ISBN 10: 3030729850 ISBN 13: 9783030729851

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on time-dependent problems. Chapters are written by leading researchers and users of model order reduction techniques and are based on presentations given at the 2019 edition of the workshop series Model Reduction of Complex Dynamical Systems - MODRED, held at the University of Graz in Austria. The topics considered can be divided into five categories:system-theoretic methods, such as balanced truncation, Hankel norm approximation, and reduced-basis methods;data-driven methods, including Loewner matrix and pencil-based approaches, dynamic mode decomposition, and kernel-based methods;surrogate modeling for design and optimization, with special emphasis on control and data assimilation;model reduction methods in applications, such as control and network systems, computational electromagnetics, structural mechanics, and fluid dynamics; andmodel order reduction software packages and benchmarks.This volume will be an ideal resource for graduate students and researchers in all areas of model reduction, as well as those working in applied mathematics and theoretical informatics. N� de ref. del art�culo: 9783030729851

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