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Deterministic Abelian Sandpile Models and Patterns (Hardcover, 2014 ed.) Loot Price: R3,505
Discovery Miles 35 050
Deterministic Abelian Sandpile Models and Patterns (Hardcover, 2014 ed.): Guglielmo Paoletti

Deterministic Abelian Sandpile Models and Patterns (Hardcover, 2014 ed.)

Guglielmo Paoletti

Series: Springer Theses

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Loot Price R3,505 Discovery Miles 35 050 | Repayment Terms: R328 pm x 12*

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The model investigated in this work, a particular cellular automaton with stochastic evolution, was introduced as the simplest case of self-organized-criticality, that is, a dynamical system which shows algebraic long-range correlations without any tuning of parameters. The author derives exact results which are potentially also interesting outside the area of critical phenomena. Exact means also site-by-site and not only ensemble average or coarse graining. Very complex and amazingly beautiful periodic patterns are often generated by the dynamics involved, especially in deterministic protocols in which the sand is added at chosen sites. For example, the author studies the appearance of allometric structures, that is, patterns which grow in the same way in their whole body, and not only near their boundaries, as commonly occurs. The local conservation laws which govern the evolution of these patterns are also presented. This work has already attracted interest, not only in non-equilibrium statistical mechanics, but also in mathematics, both in probability and in combinatorics. There are also interesting connections with number theory. Lastly, it also poses new questions about an old subject. As such, it will be of interest to computer practitioners, demonstrating the simplicity with which charming patterns can be obtained, as well as to researchers working in many other areas.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: September 2013
First published: 2014
Authors: Guglielmo Paoletti
Dimensions: 235 x 155 x 16mm (L x W x T)
Format: Hardcover
Pages: 163
Edition: 2014 ed.
ISBN-13: 978-3-319-01203-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
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LSN: 3-319-01203-7
Barcode: 9783319012032

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