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

Sumedha, ; Dhar, Deepak (2005) Efficiency of the incomplete enumeration algorithm for Monte-Carlo simulation of linear and branched polymers Journal of Statistical Physics, 120 (1-2). pp. 71-100. ISSN 0022-4715

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Official URL: http://www.springerlink.com/content/w5348k7275p1w8...

Related URL: http://dx.doi.org/10.1007/s10955-005-5462-2

Abstract

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 α) 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.

Item Type:Article
Source:Copyright of this article belongs to Springer-Verlag.
Keywords:Self-avoiding Walks; Lattice Animals; Monte-carlo Methods for Polymers; Percolation on Trees
ID Code:9435
Deposited On:02 Nov 2010 12:13
Last Modified:16 May 2016 19:14

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