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∞ for a square lattice with (1, π)-neighborhood depends not only on the lattice dimension, but also on the Minkowski exponent π. Toestimate the strength of percolation clusters P∞ 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, π)-neighborhood”, Computer Research and Modeling, 6:3 (2014), 405–414
\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}
Linking options:
https://www.mathnet.ru/eng/crm331
https://www.mathnet.ru/eng/crm/v6/i3/p405
This publication is cited in the following 3 articles:
P.V. Moskalev, “Convergence of percolation probability functions to cumulative distribution functions on square lattices with (1,0)-neighborhood”, Physica A: Statistical Mechanics and its Applications, 553 (2020), 124657
Iraida Stanovska, Oleksandr Stanovskyi, Igor Saukh, “INFORMATION TECHNOLOGY OF PROBLEMS SOLUTIONS SUPPORT IN A COMPLEX SYSTEM MANAGEMENT”, EUREKA: Physics and Engineering, 3 (2020), 30
Alexander Konstantinovich Chepak, Leonid Lazarevich Afremov, Alexander Yuryevich Mironenko, “Concentration Phase Transition in a Two-Dimensional Ferromagnet”, SSP, 312 (2020), 244