Langue: anglais
Edité par SIAM - Society for Industrial an, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Edité par SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Edité par SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Edité par MP-SIA SIAM - Society for Industrial and Applied M, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Edité par SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Edité par SIAM - Society for Industrial and Applied Mathematics, 2020
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Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., New York, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Ajouter au panierPaperback. Etat : new. Paperback. Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate prediction or control, inevitably creating a considerable burden on computational resources. This is the main context where one considers model reduction, seeking to replace large systems of coupled differential and algebraic equations that constitute high fidelity system models with substantially fewer equations that are crafted to control the loss of fidelity that order reduction may induce in the system response. Interpolatory methods are among the most widely used model reduction techniques, and Interpolatory Methods for Model Reduction is the first comprehensive analysis of this approach available in a single, extensive resource. It introduces state-of-the-art methods reflecting significant developments over the past two decades, covering both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks.This textbook is appropriate for a wide audience of engineers and other scientists working in the general areas of large-scale dynamical systems and data-driven modeling of dynamics. Interpolatory methods are among the most widely used model reduction techniques. This book is the first comprehensive analysis of this approach available in a single, extensive resource. It covers both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S. 2020-01-30, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Langue: anglais
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Ajouter au panierPaperback. Etat : New. Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate prediction or control, inevitably creating a considerable burden on computational resources. This is the main context where one considers model reduction, seeking to replace large systems of coupled differential and algebraic equations that constitute high fidelity system models with substantially fewer equations that are crafted to control the loss of fidelity that order reduction may induce in the system response. Interpolatory methods are among the most widely used model reduction techniques, and Interpolatory Methods for Model Reduction is the first comprehensive analysis of this approach available in a single, extensive resource. It introduces state-of-the-art methods reflecting significant developments over the past two decades, covering both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks.This textbook is appropriate for a wide audience of engineers and other scientists working in the general areas of large-scale dynamical systems and data-driven modeling of dynamics.
Langue: anglais
Edité par Society for Industrial and Applied Mathematic, 2005
ISBN 10 : 0898715296 ISBN 13 : 9780898715293
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Ajouter au panierHardcover. Etat : Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Langue: anglais
Edité par Society for Industrial and Applied Mathematics, 2009
ISBN 10 : 0898716586 ISBN 13 : 9780898716580
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Edité par Society for Industrial and Applied Mathematics, 2009
ISBN 10 : 0898716586 ISBN 13 : 9780898716580
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Langue: anglais
Edité par Society for Industrial and Applied Mathematics, 2009
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Langue: anglais
Edité par Society for Industrial and Applied Mathematics, 2009
ISBN 10 : 0898716586 ISBN 13 : 9780898716580
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Langue: anglais
Edité par MP-SIA SIAM - Society for Industrial and Applied M, 2005
ISBN 10 : 0898716586 ISBN 13 : 9780898716580
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Edité par Society for Industrial and Applied Mathematics, 2009
ISBN 10 : 0898716586 ISBN 13 : 9780898716580
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Edité par Society for Industrial and Applied Mathematics, 2009
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Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Ajouter au panierEtat : New. Interpolatory methods are among the most widely used model reduction techniques. This book is the first comprehensive analysis of this approach available in a single, extensive resource. It covers both classical projection frameworks for model reduction and.
Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., New York, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Ajouter au panierPaperback. Etat : new. Paperback. Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate prediction or control, inevitably creating a considerable burden on computational resources. This is the main context where one considers model reduction, seeking to replace large systems of coupled differential and algebraic equations that constitute high fidelity system models with substantially fewer equations that are crafted to control the loss of fidelity that order reduction may induce in the system response. Interpolatory methods are among the most widely used model reduction techniques, and Interpolatory Methods for Model Reduction is the first comprehensive analysis of this approach available in a single, extensive resource. It introduces state-of-the-art methods reflecting significant developments over the past two decades, covering both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks.This textbook is appropriate for a wide audience of engineers and other scientists working in the general areas of large-scale dynamical systems and data-driven modeling of dynamics. Interpolatory methods are among the most widely used model reduction techniques. This book is the first comprehensive analysis of this approach available in a single, extensive resource. It covers both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2009
ISBN 10 : 0898716586 ISBN 13 : 9780898716580
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Ajouter au panierPaperback. Etat : Brand New. reprint edition. 605 pages. 8.75x6.00x1.25 inches. In Stock.