ENGLISH

Predictability of Complex Dynamical Systems

By James B. Kadtke , Yurii A. Kravtsov (auth.) , Professor Dr. Yurii A. Kravtsov , Dr. James B. Kadtke (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
1996
ISBN
978-3-642-80256-0, 978-3-642-80254-6
DOI
10.1007/978-3-642-80254-6
Language
english
Format
PDF
Filesize
5 MB (5081019 bytes)
Series
Springer Series in Synergetics 69
Edition
1
Pages
234\232
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Dynamical Systems and Complexity;Game TheoryEconomicsSocial and Behav. Sciences;Economic TheoryStatistical Physics

Description

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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