A clear and systematic treatment of time series of data, regular and chaotic, found in nonlinear systems. The text leads readers from measurements of one or more variables through the steps of building models of the source as a dynamical system, classifying the source by its dynamical characteristics, and finally predicting and controlling the dynamical system. It examines methods for separating the signal of physical interest from contamination by unwanted noise, and for investigating the phase space of the chaotic signal and its properties. The emphasis throughout is on the use of modern mathematical tools for investigating chaotic behaviour to uncover properties of physical systems, requiring knowledge of dynamical systems at the advanced undergraduate level and some knowledge of Fourier transforms and other signal processing methods.
"Sinopsis" puede pertenecer a otra edición de este libro.
A clear and systematic treatment of time series of data, regular and chaotic, found in nonlinear systems. The text leads readers from measurements of one or more variables through the steps of building models of the source as a dynamical system, classifying the source by its dynamical characteristics, and finally predicting and controlling the dynamical system. It examines methods for separating the signal of physical interest from contamination by unwanted noise, and for investigating the phase space of the chaotic signal and its properties. The emphasis throughout is on the use of modern mathematical tools for investigating chaotic behaviour to uncover properties of physical systems, requiring knowledge of dynamical systems at the advanced undergraduate level and some knowledge of Fourier transforms and other signal processing methods.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Better World Books Ltd, Dunfermline, Reino Unido
Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Nº de ref. del artículo: 53258823-20
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Librería: Wonder Book, Frederick, MD, Estados Unidos de America
Condición: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. Nº de ref. del artículo: Z10B-01478
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Librería: Bay Used Books, Sudbury, ON, Canada
trade paperback. Condición: Good. Good condition. Moderate wear. Binding?fairly tight, pages wavy from moisture, otherwise unmarked. Pictures?available?upon request.? dw. Nº de ref. del artículo: 132552
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Librería: SHIMEDIA, Brooklyn, NY, Estados Unidos de America
Condición: New. Satisfaction Guaranteed or your money back. Nº de ref. del artículo: 0387983724
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Librería: BennettBooksLtd, Los Angeles, CA, Estados Unidos de America
paperback. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: Q-0387983724
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -When I encountered the idea of chaotic behavior in deterministic dynami cal systems, it gave me both great pause and great relief. The origin of the great relief was work I had done earlier on renormalization group properties of homogeneous, isotropic fluid turbulence. At the time I worked on that, it was customary to ascribe the apparently stochastic nature of turbulent flows to some kind of stochastic driving of the fluid at large scales. It was simply not imagined that with purely deterministic driving the fluid could be turbulent from its own chaotic motion. I recall a colleague remarking that there was something fundamentally unsettling about requiring a fluid to be driven stochastically to have even the semblance of complex motion in the velocity and pressure fields. I certainly agreed with him, but neither of us were able to provide any other reasonable suggestion for the observed, apparently stochastic motions of the turbulent fluid. So it was with relief that chaos in nonlinear systems, namely, complex evolution, indistinguish able from stochastic motions using standard tools such as Fourier analysis, appeared in my bag of physics notions. It enabled me to have a physi cally reasonable conceptual framework in which to expect deterministic, yet stochastic looking, motions. The great pause came from not knowing what to make of chaos in non linear systems. 288 pp. Englisch. Nº de ref. del artículo: 9780387983721
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 286 pages. 9.25x6.25x0.50 inches. In Stock. Nº de ref. del artículo: zk0387983724
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book develops a clear and systematic treatment the sort of data one obtains from nonlinear systems. Emphasizing the use of the modern mathematical tools for investigating chaotic behavior to uncover properties of physical systems, the book requires knowledge of dynamical systems at the advanced undergraduate level.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch. Nº de ref. del artículo: 9780387983721
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Analysis of Observed Chaotic Data | Henry Abarbanel | Taschenbuch | xiv | Englisch | 1997 | Springer | EAN 9780387983721 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 106873097
Cantidad disponible: 5 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - When I encountered the idea of chaotic behavior in deterministic dynami cal systems, it gave me both great pause and great relief. The origin of the great relief was work I had done earlier on renormalization group properties of homogeneous, isotropic fluid turbulence. At the time I worked on that, it was customary to ascribe the apparently stochastic nature of turbulent flows to some kind of stochastic driving of the fluid at large scales. It was simply not imagined that with purely deterministic driving the fluid could be turbulent from its own chaotic motion. I recall a colleague remarking that there was something fundamentally unsettling about requiring a fluid to be driven stochastically to have even the semblance of complex motion in the velocity and pressure fields. I certainly agreed with him, but neither of us were able to provide any other reasonable suggestion for the observed, apparently stochastic motions of the turbulent fluid. So it was with relief that chaos in nonlinear systems, namely, complex evolution, indistinguish able from stochastic motions using standard tools such as Fourier analysis, appeared in my bag of physics notions. It enabled me to have a physi cally reasonable conceptual framework in which to expect deterministic, yet stochastic looking, motions. The great pause came from not knowing what to make of chaos in non linear systems. Nº de ref. del artículo: 9780387983721
Cantidad disponible: 1 disponibles