MONTE CARLO WITHOUT CHAINS

被引:4
作者
Chorin, Alexandre J. [1 ]
机构
[1] Univ Calif Berkeley, Dept Math, Berkeley, CA 94720 USA
基金
美国国家科学基金会;
关键词
Monte Carlo; no Markov chain; marginal; spin glass;
D O I
10.2140/camcos.2008.3.77
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A sampling method for spin systems is presented. The spin lattice is written as the union of a nested sequence of sublattices, all but the last with conditionally independent spins, which are sampled in succession using their marginals. The marginals are computed concurrently by a fast algorithm; errors in the evaluation of the marginals are offset by weights. There are no Markov chains and each sample is independent of the previous ones; the cost of a sample is proportional to the number of spins (but the number of samples needed for good statistics may grow with array size). The examples include the Edwards-Anderson spin glass in three dimensions.
引用
收藏
页码:77 / 93
页数:17
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