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ISBN 10: 1009455621 ISBN 13: 9781009455626
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Published by Cambridge University Press, 2024
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Published by Cambridge University Press, 2024
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a novel approach to the theory of dynamical systems using computational matrix algebra. It provides everything necessary to allow readers to develop recursive computational schemes needed to solve practical problems. Ideal for graduate students in electrical and computer engineering, computer science and applied mathematics.
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Published by Cambridge University Press, 2024
ISBN 10: 1009455621 ISBN 13: 9781009455626
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Hardcover. Condition: new. Hardcover. Matrix theory is the lingua franca of everyone who deals with dynamically evolving systems, and familiarity with efficient matrix computations is an essential part of the modern curriculum in dynamical systems and associated computation. This is a master's-level textbook on dynamical systems and computational matrix algebra. It is based on the remarkable identity of these two disciplines in the context of linear, time-variant, discrete-time systems and their algebraic equivalent, quasi-separable systems. The authors' approach provides a single, transparent framework that yields simple derivations of basic notions, as well as new and fundamental results such as constrained model reduction, matrix interpolation theory and scattering theory. This book outlines all the fundamental concepts that allow readers to develop the resulting recursive computational schemes needed to solve practical problems. An ideal treatment for graduate students and academics in electrical and computer engineering, computer science and applied mathematics. This book presents a novel approach to the theory of dynamical systems using computational matrix algebra. It provides everything necessary to allow readers to develop recursive computational schemes needed to solve practical problems. Ideal for graduate students in electrical and computer engineering, computer science and applied mathematics. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Cambridge University Press, 2024
ISBN 10: 1009455621 ISBN 13: 9781009455626
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Published by Cambridge University Press, Cambridge, 2024
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Hardcover. Condition: new. Hardcover. Matrix theory is the lingua franca of everyone who deals with dynamically evolving systems, and familiarity with efficient matrix computations is an essential part of the modern curriculum in dynamical systems and associated computation. This is a master's-level textbook on dynamical systems and computational matrix algebra. It is based on the remarkable identity of these two disciplines in the context of linear, time-variant, discrete-time systems and their algebraic equivalent, quasi-separable systems. The authors' approach provides a single, transparent framework that yields simple derivations of basic notions, as well as new and fundamental results such as constrained model reduction, matrix interpolation theory and scattering theory. This book outlines all the fundamental concepts that allow readers to develop the resulting recursive computational schemes needed to solve practical problems. An ideal treatment for graduate students and academics in electrical and computer engineering, computer science and applied mathematics. This book presents a novel approach to the theory of dynamical systems using computational matrix algebra. It provides everything necessary to allow readers to develop recursive computational schemes needed to solve practical problems. Ideal for graduate students in electrical and computer engineering, computer science and applied mathematics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Cambridge University Press, 2024
ISBN 10: 1009455621 ISBN 13: 9781009455626
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Published by Cambridge University Press, Cambridge, 2024
ISBN 10: 1009455621 ISBN 13: 9781009455626
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Hardcover. Condition: new. Hardcover. Matrix theory is the lingua franca of everyone who deals with dynamically evolving systems, and familiarity with efficient matrix computations is an essential part of the modern curriculum in dynamical systems and associated computation. This is a master's-level textbook on dynamical systems and computational matrix algebra. It is based on the remarkable identity of these two disciplines in the context of linear, time-variant, discrete-time systems and their algebraic equivalent, quasi-separable systems. The authors' approach provides a single, transparent framework that yields simple derivations of basic notions, as well as new and fundamental results such as constrained model reduction, matrix interpolation theory and scattering theory. This book outlines all the fundamental concepts that allow readers to develop the resulting recursive computational schemes needed to solve practical problems. An ideal treatment for graduate students and academics in electrical and computer engineering, computer science and applied mathematics. This book presents a novel approach to the theory of dynamical systems using computational matrix algebra. It provides everything necessary to allow readers to develop recursive computational schemes needed to solve practical problems. Ideal for graduate students in electrical and computer engineering, computer science and applied mathematics. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 1009455621 ISBN 13: 9781009455626
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Buch. Condition: Neu. Time-Variant and Quasi-separable Systems | Patrick Dewilde (u. a.) | Buch | Englisch | 2024 | Cambridge University Press | EAN 9781009455626 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.