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Chaos and Time-Series Analysis
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Table of Contents

Preface
1: Introduction
2: One-dimensional maps
3: Nonchaotic multidimensional flows
4: Dynamical systems theory
5: Lyapunov exponents
6: Strange attractors
7: Bifurcations
8: Hamiltonian chaos
9: Time-series properties
10: Nonlinear prediction and noise reduction
11: Fractals
12: Calculation of fractal dimension
13: Fractal measure and multifractals
14: Nonchaotic fractal sets
15: Spatiotemporal chaos and complexity
A: Common chaotic systems
B: Useful mathematical formulas
C: Journals with chaos and related papers
Bibliography
Index

About the Author

Professor Julien Clinton Sprott
Department of Physics
University of Wisconsin-Madison
1150 University Avenue
Madison
Wisconsin 53706
USA
Tel: 001-608-263-4449
Email: sprott@physics.wisc.edu
http://sprott.physics.wisc.edu/

Reviews

... comprehensive ... most suitable for systematic study but can also serve as a useful reference work in your library ... an indispensable addition to my bookshelf ... the explanations and support material will fill in the necessary updating of your mathematics ... The extensive and evolving website back-up makes the book unique and even more valuable. It stays up to date as the field evolves. The book is thus perfect for self-instruction, or for use as a classroom textbook, and of course, as a reference work for workers in any field of science. Nonlinear Dynamics in Psychology and Life Sciences

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