Efficient algorithm for the forest fire model

作     者：Gunnar Pruessner Henrik Jeldtoft Jensen 

作者机构：[]Department of Mathematics Imperial College London 180 Queen’s Gate London SW7 2BZ United Kingdom 

出 版 物：《Physical Review E》 (物理学评论E辑：统计、非线性和软体物理学)

年 卷 期：2004年第70卷第6期

页      面：066707-066707页

核心收录：

学科分类：07[理学] 070203[理学-原子与分子物理] 0702[理学-物理学] 

主　　题：Parallel algorithms 

摘      要：The Drossel-Schwabl forest fire model is one of the best studied models of nonconservative self-organized criticality. However, using an alternative algorithm, which allows us to study the model on large statistical and spatial scales, it has been shown to lack simple scaling. We thereby show that the considered model is not critical. This paper presents the algorithm and its parallel implementation in detail, together with large-scale numerical results for several observables. The algorithm can easily be adapted to related problems such as percolation.