Monte Carlo
Cluster–cluster aggregation — compute
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Density
p
Box side
L
Exponent
α
Sampling
Directional
Isotropic
Shots
Seed
Time samples
Grid spacing
Linear
Logarithmic
Point A (x, y)
Point B (x, y)
Run
Cancel
idle
Series
E[cluster size at A]
P(A and B connected)
P(A occupied)
linear fit
Graph distance A–B
Mean graph distance (0, 0) → (n, 0)
linear fit
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