Description Usage Arguments Details Value Author(s) References See Also Examples
fssa30() function calculates the relative frequency distribution of anisotropic clusters on 3D square lattice with von Neumann (1,0)-neighborhood.
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n |
a sample size. |
x |
a linear dimension of 3D square percolation lattice. |
p |
a vector of relative fractions |
set |
a vector of linear indexes of a starting sites subset. |
all |
logical; if |
shape |
a vector with two shape parameters of beta-distributed random variables, weighting the percolation lattice sites. |
The percolation is simulated on 3D square lattice with uniformly weighted sites and the vector p, distributed over the lattice directions.
The anisotropic cluster is formed from the accessible sites connected with the initial subset set, and depends on the direction in 3D square lattice.
Von Neumann (1,0)-neighborhood on 3D square lattice consists of sites, only one coordinate of which is different from the current site by one: e=c(-1, 1, -x, x, -x^2, x^2).
Each element of the 3D matrix frq is equal to the relative frequency with which the 3D square lattice site belongs to a cluster sample of size n.
rfq |
a 3D matrix of relative sampling frequencies for sites of the percolation lattice. |
Pavel V. Moskalev <moskalefff@gmail.com>
[1] Moskalev, P.V. Percolation modeling of porous structures. Moscow: URSS, 2018. 240 pp; in Russian.
ssa30, fssa20, fssi20, fssi30, fssa2d, fssa3d
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