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Published by 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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Paperback. Condition: 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.
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ISBN 10: 0898716586 ISBN 13: 9780898716580
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Published by Society for Industrial and Applied Mathematics, 2009
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Condition: New. 2009. 1st Edition. Paperback. Series: Advances in Design and Control. 510 pages. Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction. Cateogry: (P) Professional & Vocational. BIC Classification: PBWR. Dimension: 253 x 172 x 26. Weight: 894. . . . . .
Published by Society for Industrial and Applied Mathematics, 2009
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Published by Society for Industrial and Applied Mathematics, 2009
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ISBN 10: 1611976073 ISBN 13: 9781611976076
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Paperback. Condition: 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.
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Published by Society for Industrial & Applied Mathematics,U.S., 2020
ISBN 10: 1611976073 ISBN 13: 9781611976076
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Published by Society for Industrial and Applied Mathematics, 2009
ISBN 10: 0898716586 ISBN 13: 9780898716580
Language: English
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Published by Society for Industrial and Applied Mathematics, 2009
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Published by Society for Industrial & Applied Mathematics,U.S., 2020
ISBN 10: 1611976073 ISBN 13: 9781611976076
Language: English
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Condition: 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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ISBN 10: 1611976073 ISBN 13: 9781611976076
Language: English
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Paperback. Condition: 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.
Published by Society for Industrial and Applied Mathematics, 2009
ISBN 10: 0898716586 ISBN 13: 9780898716580
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2009. 1st Edition. Paperback. Series: Advances in Design and Control. 510 pages. Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction. Cateogry: (P) Professional & Vocational. BIC Classification: PBWR. Dimension: 253 x 172 x 26. Weight: 894. . . . . . Books ship from the US and Ireland.
Published by Society for Industrial & Applied Mathematics,U.S., 2009
ISBN 10: 0898716586 ISBN 13: 9780898716580
Language: English
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Published by Springer-Verlag GmbH, 2014
ISBN 10: 3662085488 ISBN 13: 9783662085486
Language: English
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Taschenbuch. Condition: Neu. Mathematical System Theory | The Influence of R. E. Kalman | Athanasios C. Antoulas | Taschenbuch | xi | Englisch | 2014 | Springer-Verlag GmbH | EAN 9783662085486 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.