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Sinopsis
The authors address both classical and previously unsolved optimization tasks in algebra, linear systems theory, control theory and signal processing. Exploiting a dynamical systems approach for tackling a wide class of constrained optimization tasks. This publication will be of interest to engineers and mathematicians. Engineers will learn the mathematics and the technical approach necessary to solve a wide class of constrained optimization tasks. Mathematicians will see how techniques from global analysis and differential geometry can be developed to achieve useful construction procedures for optimization on manifolds.
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Reseña del editor
This work is aimed at mathematics and engineering graduate students and researchers in the areas of optimization, dynamical systems, control sys tems, signal processing, and linear algebra. The motivation for the results developed here arises from advanced engineering applications and the emer gence of highly parallel computing machines for tackling such applications. The problems solved are those of linear algebra and linear systems the ory, and include such topics as diagonalizing a symmetric matrix, singular value decomposition, balanced realizations, linear programming, sensitivity minimization, and eigenvalue assignment by feedback control. The tools are those, not only of linear algebra and systems theory, but also of differential geometry. The problems are solved via dynamical sys tems implementation, either in continuous time or discrete time , which is ideally suited to distributed parallel processing. The problems tackled are indirectly or directly concerned with dynamical systems themselves, so there is feedback in that dynamical systems are used to understand and optimize dynamical systems. One key to the new research results has been the recent discovery of rather deep existence and uniqueness results for the solution of certain matrix least squares optimization problems in geomet ric invariant theory. These problems, as well as many other optimization problems arising in linear algebra and systems theory, do not always admit solutions which can be found by algebraic methods.
Reseña del editor
This study addresses both classical and previously unsolved optimization tasks in linear algebra, linear systems theory, control theory and signal processing. Exploiting developments in Computation such as Parallel Computing and Neural Networks, it gives a dynamical systems approach for tackling a wide class of constrained optimization tasks.Optimization and Dynamical Systems will be of interest to engineers and mathematicians. Engineers will learn the mathematics and the technical approach necessary to solve a wide class of constrained optimization tasks. Mathematicians will see how techniques from global analysis and differential geometry can be developed to achieve useful construction procedures for optimization on manifolds.
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Optimization and Dynamical Systems (Communications and Control Engineering)
Librería: Zubal-Books, Since 1961, Cleveland, OH, Estados Unidos de America
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Condición: Good. *Price HAS BEEN REDUCED by 10% until Monday, Sept. 15 (sale item)* 403 pp., hardcover, minor pencil notations to about 20 pages else good+. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Nº de ref. del artículo: ZB1332497
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Optimization and Dynamical Systems (Communications and Control Engineering).
Librería: Wissenschaftl. Antiquariat Th. Haker e.K, Klettgau, Alemania
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hardcover. Condición: Sehr gut. 416 p. In very good condition. ISBN: 9783540198574 Sprache: Englisch Gewicht in Gramm: 743. Nº de ref. del artículo: 59610
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Optimization and Dynamical Systems (Communications and Control Engineering).
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Berlin: Springer, 1996
ISBN 10: 3540198571
ISBN 13: 9783540198574
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Optimization and Dynamical Systems
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Springer-Verlag GmbH & Co. KG, 1996
ISBN 10: 3540198571
ISBN 13: 9783540198574
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Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 385840/202
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