Chaotic Dynamics: Introduction 2ed: An Introduction - Brossura

Baker, Gregory L.

 
9780521476850: Chaotic Dynamics: Introduction 2ed: An Introduction

Sinossi

New edition of a very successful undergraduate text on chaos.

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Recensione

'Chaotic Dynamics is refreshingly down-to-earth ... I recommend it to anyone who wishes to penetrate beneath the flashy surface of the popular image of chaos to the hardcore science beneath. The book makes an excellent text for physics or mathematics students, and its reliance on concrete examples offers a welcome antidote to the esotericism of many undergraduate science courses.' The Times Higher Education Supplement

'The original text, published 1990, was the first quantitative introduction to chaos for science undergraduates. This has now been revised and skilfully extended ... Suitable as a source text for lecture courses.' Aslib Book List

'This book was a pleasure to review.' Physics Today

'The authors' express purpose was to fill the void in the literature on chaotic dynamics between the readable but technically light books, best exemplified by James Gleick's Chaos (Viking 1987) and the technically difficult books ... Gregory Baker and Jerry Gollub have accomplished this superbly and provided us with a text, or text supplement, suitable for the advanced undergraduate.' Physics Today

'It bridges the gap between the popular books and the technical tomes, by employing computer experiments in place of calculations, and by concentrating on examples ... Written by people for whom chaos is not an end but a means to the understanding of physical phenomena.' The Times Higher Education Supplement

Descrizione del libro

The previous edition of this text was the first to provide a quantitative introduction to chaos and nonlinear dynamics at undergraduate level and was widely praised for the clarity of the writing and for the unique and effective way in which the authors presented the basic ideas. This revised and expanded second edition includes additional material on the analysis and characterisation of chaotic data, and applications of chaos.

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