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Generate random numbers from a Poisson distribution

The Poisson distribution has one parameter, Ʌ, which happens to be both the expected mean and variance. (Standard deviation is therefore Ʌ). The Poisson distribution generates non-negative integers only. It is defined for positive real values of Ʌ. The Poisson distribution was originally developed as an efficient means of approximating the Bernoulli distribution for special cases (to wit, when the product np is small even when n is large). It has gained considerable popularity for use in algorithmic composition, particularly due to the influence of Iannis Xenakis, who used it extensively.
from the library :
Litter Power Pro Package
Format : External
Environment : max / msp
Max 4.x


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