Isbn: 9780521483711 - self-organized criticality: emergent complex behavior in physical and biological systems (cambridge lecture notes in physics, 10) (7 Ergebnisse)

paperback. Zustand: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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Zustand: Fine. 168 pp., paperback, edges lightly foxed, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

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Zustand: New. A clear and concise introduction to this new, cross-disciplinary field. Series Editor(s): Goddard, Peter; Yeomans, Julia. Series: Cambridge Lecture Notes in Physics. Num Pages: 170 pages, 42 b/w illus. 1 table 12 exercises. BIC Classification: PD; PH. Category: (P) Professional & Vocational. Dimension: 230 x 155 x 11. Weight in Grams: 276. . 1998. Illustrated. paperback. . . . . Books ship from the US and Ireland. …

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | A clear and concise introduction to this new, cross-disciplinary field.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Self-organized criticality (SOC) is based upon the idea that complex behavior can develop spontaneously in certain multi-body systems whose dynamics vary abruptly. This book is a clear and concise introduction to the field of self-organized criticality, and contains an overview of the main research results. The author begins with an examination of what is meant by SOC, and the systems in which it can occur. He then presents and analyzes computer models to describe a number of systems, and he explains the different mathematical formalisms developed to understand SOC. The final chapter assesses the impact of this field of study, and highlights some key areas of new research. The author assumes no previous knowledge of the field, and the book contains several exercises. It will be ideal as a textbook for graduate students taking physics, engineering, or mathematical biology courses in nonlinear science or complexity.…