written by Francisco Esquembre

The Monte Carlo One-dimension Integration Model illustrates the Monte Carlo integration algorithm to compute the integral of a function f(x). The simulation allows you to select the number of random points, to make an automatic fit to the function graph in the Y axis (thus improving the accuracy of the estimation), and to display the points or not.  The simulation computes the actual value of the integral using a Romberg algorithm to test the Monte Carlo integral approximation.

• Download ejs_MonteCarloIntegration.jar - 1385kb Java Archive File

Last Modified June 10, 2014

This file has previous versions.

The source code zip archive contains an XML representation of the Monte Carlo One-dimensional Integration Model.  Unzip this archive in your EJS workspace to compile and run this model using EJS.

• Download ejs_MonteCarloIntegration.zip - 5kb Compressed File

Last Modified February 11, 2012

This file has previous versions.