Dhar, D. ; Lam, P. M. (1999) A Monte Carlo method for series expansions Journal of Physics A: Mathematical and General, 19 (17). L1057-L1062. ISSN 0305-4470
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Official URL: http://iopscience.iop.org/0305-4470/19/17/002
Related URL: http://dx.doi.org/10.1088/0305-4470/19/17/002
Abstract
The authors describe a simple and general algorithm to calculate series expansions in enumeration problems to large orders approximately by a Monte Carlo method. It can be used to generate unbiased samples in cluster studies, e.g. linear or branched polymers, random surfaces, etc., in any dimension. They calculate the number of site animals of size n on the square lattice for n < or= 50 and their average size to better than 1% accuracy.
Item Type: | Article |
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Source: | Copyright of this article belongs to Institute of Physics. |
ID Code: | 82208 |
Deposited On: | 10 Feb 2012 04:16 |
Last Modified: | 10 Feb 2012 04:16 |
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