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jsboxmuller

v1.1.1

Published

Box Muller algorithm implementation

Downloads

46

Readme

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;