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| Title | Predictability of Complex Dynamical Systems |
| Author(s) | Kravtsov, Yurii A;Kadtke, James B |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1996. |
| Description | XII, 234 p. 2 illus. in color : online resource |
| Abstract Note | 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" |
| ISBN,Price | 9783642802546 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK - SPRINGER
5. ECONOMIC THEORY
6. Economic Theory/Quantitative Economics/Mathematical Methods
7. GAME THEORY
8. Game Theory, Economics, Social and Behav. Sciences
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems
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| Item Type | eBook |
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Circulation Data
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Call# | Status | Issued To | Return Due On | Physical Location |
| I01016 |
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