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written by
Francisco Esquembre
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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**- 1250kb Java Archive File*ejs_MonteCarloIntegration.jar*

Last Modified *August 20, 2013*

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This file has previous versions.
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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**- 5kb Compressed File*ejs_MonteCarloIntegration.zip*

Last Modified *February 11, 2012*

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This file has previous versions.
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