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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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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