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