Efficiency of the incomplete enumeration algorithm for Monte-Carlo simulation of linear and branched polymers

被引:3
|
作者
Sumedha [1 ]
Dhar, D [1 ]
机构
[1] Tata Inst Fundamental Res, Dept Theoret Phys, Bombay 400005, Maharashtra, India
关键词
self-avoiding walks; lattice animals; Monte-Carlo methods for polymers; percolation on trees;
D O I
10.1007/s10955-005-5462-2
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We study the efficiency of the incomplete enumeration algorithm for linear and branched polymers. There is a qualitative difference in the efficiency in these two cases. The average time to generate an independent sample of configuration of polymer with n monomers varies as n(2) for linear polymers for large n, but as exp(cn(alpha)) for branched ( undirected and directed) polymers, where 0 < alpha < 1. On the binary tree, our numerical studies for n of order 10(4) gives alpha = 0.333 +/- 0.005. We argue that alpha = 1/3 exactly in this case.
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页码:71 / 100
页数:30
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