Here you can find the source of randomGaussian(mean, standardDeviation)
// http://www.ollysco.de/2012/04/gaussian-normal-functions-in-javascript.html /**/*from ww w. j a v a2 s . c o m*/ * Returns a Gaussian Random Number around a normal distribution defined by the mean * and standard deviation parameters. * * Uses the algorithm used in Java's random class, which in turn comes from * Donald Knuth's implementation of the Box?Muller transform. * * @param {Number} [mean = 0.0] The mean value, default 0.0 * @param {Number} [standardDeviation = 1.0] The standard deviation, default 1.0 * @return {Number} A random number */ Math.randomGaussian = function(mean, standardDeviation) { if (Math.randomGaussian.nextGaussian !== undefined) { var nextGaussian = Math.randomGaussian.nextGaussian; delete Math.randomGaussian.nextGaussian; return (nextGaussian * standardDeviation) + mean; } else { var v1, v2, s, multiplier; do { v1 = 2 * Math.random() - 1; // between -1 and 1 v2 = 2 * Math.random() - 1; // between -1 and 1 s = v1 * v1 + v2 * v2; } while (s >= 1 || s == 0); multiplier = Math.sqrt(-2 * Math.log(s) / s); Math.randomGaussian.nextGaussian = v2 * multiplier; return (v1 * multiplier * standardDeviation) + mean; } };
function random(min, max) { return Math.floor(Math.random() * (max - min)) + min;
function random(min, max) { return Math.floor(Math.random() * (max - min + 1)) + min;
function random(min, max) { return Math.floor(Math.random() * max) + min;
randomBetween = function(N, M) { return Math.floor(M + (1 + N - M) * Math.random()); };
Math.randomBetween = function(min, max) { return Math.floor(Math.random()*(max-min+1)+min); };
function GetRandomNum(Min, Max) { var Range = Max - Min; var Rand = Math.random(); return (Min + Math.round(Rand * Range));
function getRandomArbitrary(min, max) { return Math.random() * (max - min) + min;
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Number.prototype.getRandom = function(low, high){ 'use strict'; var randomNumber; if((low === undefined) || (high === undefined)){ low = 1; high = 10; randomNumber = Math.round(Math.random() * (high - low)) + low; return randomNumber; ...