Efficiency of the Incomplete Enumeration Algorithm for Monte-Carlo Simulation of Linear and Branched Polymers

被引:0
|
作者
Sumedha [1 ]
Dhar, Deepak [1 ]
机构
[1] Tata Inst Fundamental Res, Dept Theoret Phys, Homi Bhabha Rd, Mumbai 400005, India
关键词
Self-avoiding walks; lattice animals; Monte-Carlo methods for polymers; percolation on trees; SELF-AVOIDING WALKS; PIVOT ALGORITHM; LATTICE ANIMALS; STATISTICS; FRONT;
D O I
10.1007/s10955-005-3648-2
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.
引用
收藏
页数:30
相关论文
共 50 条