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Computer Research and Modeling, 2014, Volume 6, Issue 3, Pages 405–414
DOI: https://doi.org/10.20537/2076-7633-2014-6-3-405-414
(Mi crm331)
 

This article is cited in 3 scientific papers (total in 3 papers)

MODELS IN PHYSICS AND TECHNOLOGY

Estimates of threshold and strength of percolation clusters on squarelattices with (1, $\pi$)-neighborhood

P. V. Moskalev

Voronezh State Agricultural University, 1 Michurin street, Voronezh, 394087, Russia
Full-text PDF (326 kB) Citations (3)
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Abstract: In this paper we consider statistical estimates of threshold and strength of percolation clusters on square lattices. The percolation threshold pc and the strength of percolation clusters $P_\infty$ for a square lattice with (1, $\pi$)-neighborhood depends not only on the lattice dimension, but also on the Minkowski exponent $\pi$. Toestimate the strength of percolation clusters $P_\infty$ proposed a new method of averaging the relative frequencies of the target subset of lattice sites. The implementation of this method is based on the SPSL package, released under GNU GPL-3 using the free programming language R.
Keywords: site percolation, square lattice, non-metric Minkowski distance, Moore neighborhood, percolation threshold, strength of infinite clusters, R programming language, SPSL package.
Received: 28.11.2013
Document Type: Article
UDC: 519.676
Language: Russian
Citation: P. V. Moskalev, “Estimates of threshold and strength of percolation clusters on squarelattices with (1, $\pi$)-neighborhood”, Computer Research and Modeling, 6:3 (2014), 405–414
Citation in format AMSBIB
\Bibitem{Mos14}
\by P.~V.~Moskalev
\paper Estimates of threshold and strength of percolation clusters on squarelattices with (1, $\pi$)-neighborhood
\jour Computer Research and Modeling
\yr 2014
\vol 6
\issue 3
\pages 405--414
\mathnet{http://mi.mathnet.ru/crm331}
\crossref{https://doi.org/10.20537/2076-7633-2014-6-3-405-414}
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  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
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    References:17
     
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