CLUSTER MONTE-CARLO ALGORITHMS FOR RANDOM ISING-MODELS

被引:27
作者
DOTSENKO, VS [1 ]
SELKE, W [1 ]
TALAPOV, AL [1 ]
机构
[1] FORSCHUNGSZENTRUM JULICH,IFF,W-5170 JULICH 1,GERMANY
来源
PHYSICA A | 1991年 / 170卷 / 02期
关键词
D O I
10.1016/0378-4371(91)90045-E
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Variations of the Swendsen-Wang and Wolff cluster flip algorithms are proposed to perform Monte Carolo simulations of Ising models with random bonds and random fields, including systems with frustration. The new methods are tested by applying them to small lattices and comparing the results with exact data.
引用
收藏
页码:278 / 281
页数:4
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