Efficient algorithm for the forest fire model.

Efficient algorithm for the forest fire model.
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森林火灾模型的高效算法。

DOI:
10.1103/physreve.70.066707
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发表时间:
2003
期刊:
Physical review. E, Statistical, nonlinear, and soft matter physics
影响因子:
--
通讯作者:
H. Jensen
H. Jensen
中科院分区:
--
文献类型:
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作者:
G. Pruessner;H. Jensen

文献摘要

被引文献

相似文献

Drossel-Schwabl森林火灾模型是研究得最好的非保守自组织临界模型之一。然而,使用另一种算法,使我们能够在大的统计和空间尺度上研究该模型,它已被证明缺乏简单的缩放。因此,我们表明所考虑的模型不是关键的。本文详细介绍了该算法及其并行实现,并给出了若干观测值的大规模数值结果。该算法可以很容易地适用于诸如渗透等相关问题。
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.