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Percolation and cluster distribution. III. Algorithms for the site-bond problem

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Abstract

Algorithms for estimating the percolation probabilities and cluster size distribution are given in the framework of a Monte Carlo simulation for disordered lattices for the generalized site-bond problem. The site-bond approach is useful when a percolation process cannot be exclusively described in the context of pure site or pure bond percolation. An extended multiple labeling technique (ECMLT) is introduced for the generalized problem. The ECMLT is applied to the site-bond percolation problem for square and triangular lattices. Numerical data are given for lattices containing up to 16 million sites. An application to polymer gelation is suggested.

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Supported by NSF Grant DMR76-07832 and NIH Grant NS08116-9.

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Hoshen, J., Klymko, P. & Kopelman, R. Percolation and cluster distribution. III. Algorithms for the site-bond problem. J Stat Phys 21, 583–600 (1979). https://doi.org/10.1007/BF01011170

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  • DOI: https://doi.org/10.1007/BF01011170

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