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.
1 2 |
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
1 2 3 4 5 6 |
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