MICROCANONICAL CLUSTER MONTE-CARLO SIMULATION

被引:23
作者
CREUTZ, M
机构
[1] Department of Physics, Brookhaven National Laboratory, Upton
关键词
D O I
10.1103/PhysRevLett.69.1002
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
I propose a numerical simulation algorithm for statistical systems which combines a microcanonical transfer of energy with global changes in clusters of spins. The advantages of the cluster approach near a critical point augment the speed increases associated with multispin coding in the microcanonical approach. The method also provides a limited ability to tune the average cluster size.
引用
收藏
页码:1002 / 1005
页数:4
相关论文
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