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

被引:0
作者
Deepak Sumedha
机构
[1] Tata Institute of Fundamental Research,Department of Theoretical Physics
来源
Journal of Statistical Physics | 2005年 / 120卷
关键词
Self-avoiding walks; lattice animals; Monte-Carlo methods for polymers; percolation on trees;
D O I
暂无
中图分类号
学科分类号
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 n2 for linear polymers for large n, but as exp(cnα) for branched (undirected and directed) polymers, where 0<α<1. On the binary tree, our numerical studies for n of order 104 gives α = 0.333±0.005. We argue that α =1/3 exactly in this case.
引用
收藏
页码:71 / 100
页数:29
相关论文
共 31 条
  • [1] Wall F.T.(1975)Macromolecular dimensions obtained by an efficient Monte Carlo method without sample attrition J. Chem. Phys 63 4592-4595
  • [2] Mandel F.(1988)The pivot algorithm: A highly efficient Monte Carlo Method for the self-avoiding walk J. Stat. Phys 50 109-637
  • [3] Madras N.(1990)A nonlocal Monte Carlo algorithm for self-avoiding walks with fixed endpoints J. Stat. Phys 60 1-429
  • [4] Sokal A.D.(1959)New method for the statistical computation of polymer dimensions J. Chem. Phys 30 634-0461019
  • [5] Caracciolo S.(1990)The pivot algorithm and polygons: Results on the FCC lattice J. Phys. A 23 1589-1061
  • [6] Pelissetto A.(2002)A faster implementation of the pivot algorithm for self-avoiding walks J. Stat. Phys 106 407-2345
  • [7] Sokal A. D.(1985)New Monte Carlo method for self-avoiding walk J. Stat. Phys 40 483-881
  • [8] Wall F.T.(2001)Adsorbing trees in two dimensions: A Monte Carlo study Phys. Rev. E 64 0461011-undefined
  • [9] Erpenbeck J.J.(1981)Position-spae renormalisation group for isolated polymer chains J. Phys. A 14 2679-undefined
  • [10] Jansevan Rensburg E.J.(1986)Monte Carlo method for series expansions J. Phys. A: Math. Gen 19 L1057-undefined