Chaos and Time-Series Analysis

• Clear concepts with minimal mathematics, over 250 figures.
• Summary of about 50 common chaotic systems.
• Many new examples of simple chaotic systems and applications.
• Practical methods for finding chaos in experimental data.
• Linked to web page with additional information and much more.

Readership: Advanced undergraduate and graduate students in physics, mathematics, and engineering.

Julien Clinton Sprott, Department of Physics, University of Wisconsin, Madison

"... 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

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