Complexity
Hierarchical Structures and Scaling in Physics
Series: Cambridge Nonlinear Science Series; 6;
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31 378 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number New ed
- Publisher Cambridge University Press
- Date of Publication 12 August 1999
- ISBN 9780521663854
- Binding Paperback
- No. of pages336 pages
- Size 247x175x17 mm
- Weight 665 g
- Language English
- Illustrations 56 line figures 5 halftones 1 table 0
Categories
Short description:
Very successful book in the Cambridge Nonlinear Science Series, now available in paperback.
MoreLong description:
This is a comprehensive discussion of complexity as it arises in physical, chemical, and biological systems, as well as in mathematical models of nature. Common features of these apparently unrelated fields are emphasised and incorporated into a uniform mathematical description, with the support of a large number of detailed examples and illustrations. The quantitative study of complexity is a rapidly developing subject with special impact in the fields of physics, mathematics, information science, and biology. Because of the variety of the approaches, no comprehensive discussion has previously been attempted. This book will be of interest to graduate students and researchers in physics (nonlinear dynamics, fluid dynamics, solid-state, cellular automata, stochastic processes, statistical mechanics and thermodynamics), mathematics (dynamical systems, ergodic and probability theory), information and computer science (coding, information theory and algorithmic complexity), electrical engineering and theoretical biology.
'... for a mathematically mature reader determined to ponder what complexity might mean, this book will provide some rewarding exercise.' Steven H. Strogatz, Nature
Table of Contents:
Part I. Phenomenology and Models: 1. Introduction; 2. Examples of complex behaviour; 3. Mathematical models; Part II: 4. Symbolic representations of physical systems; 5. Probability, ergodic theory, and information; 6. Thermodynamic formalism; Part III. Formal Characterization of Complexity: 7. Physical and computational analysis of symbolic signals; 8. Algorithmic and grammatical complexities; 9. Hierarchical scaling complexities; 10. Summary and perspectives.
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