Computational Physics Resources: Basic Monte Carlo Methods Documents

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Main Document

Computational Physics Resources: Basic Monte Carlo Methods 

written by Spencer Wheaton

The Basic Monte Carlo Methods Models and Worksheets collection is designed to teach basic Monte Carlo techniques (e.g. generating and testing random sequences, simulating random walks and radioactive decay, and sampling according to a given distribution) using ready-to-run EJS programs.  This material has been developed and tested at the University of Cape Town.

Last Modified January 18, 2014

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Supplemental Documents (7)

Random Number Generator Test Model 

EJS model for the Random Number Generator Test worksheet.

Last Modified August 16, 2014

This file has previous versions.

Radioactive Decay And Poisson Statistics Model 

EJS model for the Radioactive Decay And Poisson Statistics Model worksheet.

Last Modified January 18, 2014

Two-Dimensional Random Walk Model 

EJS model for the Two-Dimensional Random Walk Model worksheet.

Last Modified January 18, 2014

Sampling Rejection Method Model 

EJS model for the Sampling Rejection Method Model worksheet.

Last Modified January 18, 2014

Transformation Method Model 

EJS model to accompany the Transformation Method worksheet.

Last Modified January 18, 2014

Combination Analytic-Rejection Method Model 

EJS model to accompany the  Combination Analytic-Rejection Method worksheet.

Last Modified January 18, 2014

Sampling Metropolis Method Model 

EJS model to accompany the Sampling Metropolis Method worksheet.

Last Modified January 18, 2014