__  __    __   __  _____      _            _          _____ _          _ _ 
 |  \/  |   \ \ / / |  __ \    (_)          | |        / ____| |        | | |
 | \  / |_ __\ V /  | |__) | __ ___   ____ _| |_ ___  | (___ | |__   ___| | |
 | |\/| | '__|> <   |  ___/ '__| \ \ / / _` | __/ _ \  \___ \| '_ \ / _ \ | |
 | |  | | |_ / . \  | |   | |  | |\ V / (_| | ||  __/  ____) | | | |  __/ | |
 |_|  |_|_(_)_/ \_\ |_|   |_|  |_| \_/ \__,_|\__\___| |_____/|_| |_|\___V 2.1
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'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)
}

Filemanager

Name Type Size Permission Actions
calc.js File 683 B 0644
index.js File 1.18 KB 0644