£Á°èZ¨Ä…–K§‚«“ô4“ÒÙ´dîfUÙÃÅ WKbyʦ•êŽ…È®FÒ¿ÊÎóCozá¬S@6{Í:›œêZÌ:Š•_%:¢¾¾~;‘Ã~芩ÊǍí`ÔÑ©ú뙵'5I¿fš×WO%ø9¾«¾DK|€ùÍD”Ýs]nHÕ¶êםӼ㞪éUWŸÈË%DÒÕ¬ï‘]/Åcx ‰ï2ß]ä6G[]S£Ôϯrs{úëóµmÒï#UQxo·õÞCe]"±/aÙ&Eã4ú9Jé_ÞåëdãöKë)AÞ ¯¹ægƒÛowЍø^d™ý½ßB7áyMä9ÜÖUã !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 'use strict' /* A simple π estimation function using a Monte Carlo method * For 0 to `points`, take 2 random numbers < 1, square and add them to * find the area under that point in a 1x1 square. If that area is <= 1 * then it's *within* a quarter-circle, otherwise it's outside. * Take the number of points <= 1 and multiply it by 4 and you have an * estimate! * Do this across multiple processes and average the results to * increase accuracy. */ module.exports = function (points, callback) { let inside = 0 , i = points while (i--) if (Math.pow(Math.random(), 2) + Math.pow(Math.random(), 2) <= 1) inside++ callback(null, (inside / points) * 4) }