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Efficiency of the Incomplete Enumeration Algorithm for Monte-Carlo Simulation of Linear and Branched Polymers
Authors:Sumedha  Deepak Dhar
Affiliation:(1) Department of Theoretical Physics, Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai, 400005, India
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. An erratum to this article can be found at .
Keywords:Self-avoiding walks  lattice animals  Monte-Carlo methods for polymers  percolation on trees
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