Can I read Predictability Of Complex Dynamical Systems (springer Series In Synergetics) on EtoBox?

Predictability Of Complex Dynamical Systems (springer Series In Synergetics) by James B. Kadtke, Yurii A. Kravtsov (auth.), Professor Dr. Yurii A. Kravtsov, Dr. James B. Kadtke (eds.) is a nonfiction available to read on EtoBox.

What is Predictability Of Complex Dynamical Systems (springer Series In Synergetics) about?

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".

Who reads Predictability Of Complex Dynamical Systems (springer Series In Synergetics)?

Author

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

Publisher

Springer-Verlag Berlin Heidelberg

Published

1996

Language

EN

ISBN

9783540612872

Category

nonfiction

Subjects

Science, Mathematics, Business