jsboxmuller
v1.1.1
Published
Box Muller algorithm implementation
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Box-Muller algorithm for generating normally distributed pseudo-random samples.
Installation
npm install --save jsboxmuller
Usage
Module exports a single function that returns pseudorandom numbers from normal distribution. Function takes two optional parameters:
| Parameter | Description |
|------------|-------------|
| mean
| Mean value for random variable |
| variance
| Variance of the distribution |
If parameters are skipped, function will generate numbers from distribution with mean value
of 0.0
and unit variance.
const bm = require('jsboxmuller');
let a = new Array(100);
for(let i=0; i<100; ++i) {
a[i] = bm();
}
// Array contains values from normal distribution with mean 0.0 and variance 1.0
console.log(a);
// x and y in distribution with mean 12.0 and variance 0.2
let x = bm(12, 0.2);
let y = bm() * 0.2 + 12;