Antoulas Athanasios (38 results)
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2020
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Published by Society for Industrial and Applied Mathematics,U.S., US, 2020
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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, ine…vitably 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.
Language: English
Published by MP-SIA SIAM - Society for Industrial and Applied M, 2020
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2020
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Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2020
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Published by Society for Industrial & Applied Mathematics,U.S., 2020
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Published by Society for Industrial & Applied Mathematics,U.S., New York, 2020
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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 c…ontrol, 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.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2020
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2020
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Published by Society for Industrial & Applied Mathematics,U.S. 2020-01-30, 2020
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Interpolatory Methods for Model Reduction
Athanasios C. Antoulas; Christopher Beattie; Serkan Gugercin
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2020
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Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2020
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Language: English
Published by Society for Industrial and Applied Mathematic, 2005
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Language: English
Published by Society for Industrial and Applied Mathematics, 2009
- Softcover
- First Edition
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Language: English
Published by Society for Industrial and Applied Mathematics, 2009
- Softcover
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Paperback. Condition: Brand New. 1st edition. 510 pages. 10.00x6.85x0.94 inches. In Stock.
Language: English
Published by MP-SIA SIAM - Society for Industrial and Applied M, 2005
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Published by Society for Industrial and Applied Mathematics,U.S., US, 2005
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Paperback. Condition: New. Mathematical models are used to simulate, and sometimes control, the behavior of physical and artificial processes such as the weather and very large-scale integration (VLSI) circuits. The increasing need for accuracy has led to the development of highly complex models. However, in the presence of limi…ted computational, accuracy, and storage capabilities, model reduction (system approximation) is often necessary.Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction, combining system theory with numerical linear algebra and computational considerations. It addresses the issue of model reduction and the resulting trade-offs between accuracy and complexity. Special attention is given to numerical aspects, simulation questions, and practical applications.
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Published by Society for Industrial and Applied Mathematics,U.S., US, 2020
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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, ine…vitably 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
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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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Published by Society For Industrial & Applied Mathematics,U.S. Feb 2020, 2020
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Taschenbuch. Condition: 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.
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2009
- Softcover
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Language: English
Published by Society for Industrial and Applied Mathematics, 2009
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Taschenbuch. Condition: 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 contribut…ions 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.
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., New York, 2020
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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 c…ontrol, 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.
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Published by Society for Industrial & Applied Mathematics,U.S., 2020
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Taschenbuch. Condition: 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, Europaall…ee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Published by Society for Industrial and Applied Mathematics,U.S., US, 2005
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Paperback. Condition: New. Mathematical models are used to simulate, and sometimes control, the behavior of physical and artificial processes such as the weather and very large-scale integration (VLSI) circuits. The increasing need for accuracy has led to the development of highly complex models. However, in the presence of limi…ted computational, accuracy, and storage capabilities, model reduction (system approximation) is often necessary.Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction, combining system theory with numerical linear algebra and computational considerations. It addresses the issue of model reduction and the resulting trade-offs between accuracy and complexity. Special attention is given to numerical aspects, simulation questions, and practical applications.
