First printing, hardcover, ex-library with typical markings, very slight bumps to spine ends and corners, faint sunning to spine, and a touch of shelfwear to edges, otherwise a solid Good copy.

N� de ref. del art�culo 89264

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Detalles bibliogr�ficos

T�tulo

Predictability of Complex Dynamical Systems (Springer Series in Synergetics)

Editor

Springer-Verlag, Berlin

Fecha de publicaci�n

1996

Idioma

Ingl�s

ISBN 10

3540612874

ISBN 13

9783540612872

Encuadernaci�n

Hardcover

Edici�n

1st Printing.

Estado

Good

Estado de la sobrecubierta

No Dustjacket

Cat�logos de vendedores

Mathematics

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Sinopsis

This book addresses researchers and practitioners interested in modeling, prediction and forecasting of natural systems based on nonlinear dynamics. It is a practical guide to data analysis and to the development of algorithms especially for complex systems presenting topics like characterization of nonlinear correlations in data as dynamical systems, reconstruction of dynamical models from data, nonlinear noise reduction and the limits of predicatability. The authors consider practical problems from e.g. signal and time series analysis, biomedical data analysis, financial analysis, stochastic modeling, human evolution, and political modeling. They give new methods for nonlinear filtering of complex signals and new algorithms for signal classification, and the concept of the "Global Brain".

De la contraportada

This is a book book for researchers and practitioners interested in modeling, prediction and forecasting of natural systems based on nonlinear dynamics. It is a practical guide to data analysis and to the development of algorithms, especially for complex systems. Topics such as the characterization of nonlinear correlations in data as dynamical systems, reconstruction of dynamical models from data, nonlinear noise reduction and the limits of predicatability are discussed. The chapters are written by leading experts and consider practical problems such as signal and time series analysis, biomedical data analysis, financial analysis, stochastic modeling, human evolution, and political modeling. The book includes new methods for nonlinear filtering of complex signals, new algorithms for signal classification, and the concept of the "Global Brain".

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