Reduced Order Methods for Modeling and Computational Reduction: 9 (MS&A, 9) - Tapa dura
Libro 11 de 19: MS&A
Sinopsis
This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics.
Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects.
This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems.
"Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics.
Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects.
This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Reduced Order Methods for Modeling and Computational Reduction (MS&A, 9)
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Reduced Order Methods for Modeling and Computational Reduction (eng)
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Reduced Order Methods for Modeling and Computational Reduction (MS&A, 9)
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Reduced Order Methods for Modeling and Computational Reduction (MS&A, 9)
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Reduced Order Methods for Modeling and Computational Reduction
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Springer International Publishing Dez 2013, 2013
ISBN 10: 3319020897
ISBN 13: 9783319020891
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics.Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects.This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems. 348 pp. Englisch. Nº de ref. del artículo: 9783319020891
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Reduced Order Methods for Modeling and Computational Reduction
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Springer International Publishing, 2013
ISBN 10: 3319020897
ISBN 13: 9783319020891
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A complete review on the state of the art of model order reduction advances and developmentsA gallery of application examples on reduced order modeling in computational science and engineeringIt covers several topics and techniques by leadi. Nº de ref. del artículo: 4496349
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Reduced Order Methods for Modeling and Computational Reduction
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Buch. Condición: Neu. Reduced Order Methods for Modeling and Computational Reduction | Alfio Quarteroni (u. a.) | Buch | x | Englisch | 2013 | Springer | EAN 9783319020891 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 105240557
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Reduced Order Methods for Modeling and Computational Reduction
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Springer International Publishing, Springer International Publishing Dez 2013, 2013
ISBN 10: 3319020897
ISBN 13: 9783319020891
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Buch. Condición: Neu. Neuware -This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics. Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects. This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch. Nº de ref. del artículo: 9783319020891
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Reduced Order Methods for Modeling and Computational Reduction
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Reduced Order Methods for Modeling and Computational Reduction
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Springer International Publishing, 2013
ISBN 10: 3319020897
ISBN 13: 9783319020891
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics.Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects.This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems. Nº de ref. del artículo: 9783319020891
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