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MARC 21

Complexity : hierarchical structures and scaling in physics /
Tag Description
001$ 439096
007$ t
008$ 180307s1999 enka u000 u eng d
020$a9780521663854
020$a0521418909$q(hardback)
020$a0521663857$q(paperback)
100$aBadii, Remo,$d1958-$eautore
245$aComplexity :$bhierarchical structures and scaling in physics /$cR. Badii, A. Politi.$hLibro
250$aFirst paperback edition.
264$aCambridge :$bCambridge University Press,$c1999.
300$axiii, 318 pagine :$billustrazioni ;$c25 cm.
490$aCambridge nonlinear science series ;$v6
504$aBibliografia: pagine 293-310.
505$a1. Introduction -- 2. Examples of complex behaviour -- 3. Mathematical models -- 4. Symbolic representations of physical systems -- 5. Probability, ergodic theory, and information -- 6. Thermodynamic formalism -- 7. Physical and computational analysis of symbolic signals -- 8. Algorithmic and grammatical complexities -- 9. Hierarchical scaling complexities -- 10. Summary and perspectives.
520$aThis 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.
650$aFisica
650$aAnalisi matematica
700$aPoliti, Antonio$eautore
830$aCambridge nonlinear science series ;$v6
852$m34-C-997$xM
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