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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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Edité par Society for Industrial & Applied Mathematics,U.S., 2020
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Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2020
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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 SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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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 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 & Applied Mathematics,U.S., 2020
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Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2020
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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.
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Ajouter au panierPaperback. Etat : Brand New. reprint edition. 605 pages. 8.75x6.00x1.25 inches. In Stock.
Langue: anglais
Edité par Springer Berlin Heidelberg, 2014
ISBN 10 : 3662085488 ISBN 13 : 9783662085486
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the past three decades R.E. Kalman has been one of the most influential personalities in system and control theory. His ideas have been instrumental in a variety of areas. This is a Festschrift honoring his 60th birthday. It contains contributions from leading researchers in the field giving an account of the profound influence of his ideas in a number of areas of active research in system and control theory. For example, since their introduction by Kalman in the early 60's, the concepts of controllability and observability of dynamical systems with inputs, have been the corner stone of the great majority of investigations in the field.
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. Feb 2020, 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - 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 & Applied Mathematics,U.S., 2020
ISBN 10 : 1611976073 ISBN 13 : 9781611976076
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Ajouter au panierTaschenbuch. Etat : Neu. Interpolatory Methods for Model Reduction | Athanasios C. Antoulas | Taschenbuch | Computational Science and Engineering 21 | Einband - flex.(Paperback) | Englisch | 2020 | Society for Industrial & Applied Mathematics,U.S. | EAN 9781611976076 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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 Mathematics, 2009
ISBN 10 : 0898716586 ISBN 13 : 9780898716580
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Ajouter au panierPaperback. Etat : Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book.
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Langue: anglais
Edité par Springer Berlin Heidelberg Apr 2014, 2014
ISBN 10 : 3662085488 ISBN 13 : 9783662085486
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the past three decades R.E. Kalman has been one of the most influential personalities in system and control theory. His ideas have been instrumental in a variety of areas. This is a Festschrift honoring his 60th birthday. It contains contributions from leading researchers in the field giving an account of the profound influence of his ideas in a number of areas of active research in system and control theory. For example, since their introduction by Kalman in the early 60's, the concepts of controllability and observability of dynamical systems with inputs, have been the corner stone of the great majority of investigations in the field. 620 pp. Englisch.
Langue: anglais
Edité par Springer Berlin Heidelberg, 2014
ISBN 10 : 3662085488 ISBN 13 : 9783662085486
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A Festschrift in Honor of Professor R.E. Kalman on the Occasion of his 60th BirthdayOver the past three decades R.E. Kalman has been one of the most influential personalities in system and control theory. His ideas have been instrumental in a variety of.
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Ajouter au panierEtat : New. Print on Demand pp. 620 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 620.
Langue: anglais
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2014, 2014
ISBN 10 : 3662085488 ISBN 13 : 9783662085486
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the past three decades R.E. Kalman has been one of the most influential personalities in system and control theory. His ideas have been instrumental in a variety of areas. This is a Festschrift honoring his 60th birthday. It contains contributions from leading researchers in the field giving an account of the profound influence of his ideas in a number of areas of active research in system and control theory. For example, since their introduction by Kalman in the early 60's, the concepts of controllability and observability of dynamical systems with inputs, have been the corner stone of the great majority of investigations in the field.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 620 pp. Englisch.