written by
Wolfgang Christian,
Anne Cox,
Harvey Gould, and
Jan Tobochnik
The Monte Carlo Pi program program uses a Monte Carlo routine to approximate pi by approximating the area of a unit circle. The program is distributed as a ready-to-run (compiled) Java archive. Double-clicking the ejs_stp_MonteCarloPi.jar file will run the program if Java is installed on your computer.
The program was created using Ejs (Easy Java Simulations). You can modify this program and see how it is designed if you have Ejs installed by right-clicking within the window and selecting Open Ejs Model from the pop-up menu. Ejs, a part of the Open Source Physics Project, is designed to make it easier to access, modify, and generate computer models. Information about Ejs is available at www.um.es/fem/Ejs/. Additional Open Source Physics programs for Statistical and Thermal Physics can be found by searching ComPADRE for Open Source Physics, STP or Statistical and Thermal Physics. Please note that this resource requires at least version 1.5 of Java.
View the supplemental documents attached to this resource (2)
Ejs STP MonteCarloPi Documentation
A pdf document that briefly describes the Monte Carlo Pi program. It describes how to use the ejs_stp_MonteCarloPi.jar file and contains short tutorial… more... download 259kb .pdf Published: May 30, 2008
Ejs STP MonteCarloPi Distribution
The materials distributed in this zip file are in support of the Monte Carlo Pi model. This distribution contains the Ejs STP MonteCarloPi program,… more... download 1289kb .zip Published: May 30, 2008
View the source code document attached to this resource
Monte Carlo Pi model source code.
The source code zip archive contains an XML representation of the Monte-Carlo Pi model. Unzip this archive in your EJS workspace to compile and run this… more... download 9kb .zip Last Modified: March 22, 2009 previous versions
ComPADRE is beta testing Citation Styles!
Record Link
<a href="http://www.compadre.org/portal/items/detail.cfm?ID=7311">Christian, W, A. Cox, H. Gould, and J. Tobochnik. "Ejs STP Monte Carlo Pi Model."</a>
AIP Format
W. Christian, A. Cox, H. Gould, and J. Tobochnik, Computer Program EJS STP MONTE CARLO PI MODEL (2008), WWW Document, (http://www.compadre.org/Repository/document/ServeFile.cfm?ID=7311&DocID=488).
AJP/PRST-PER
W. Christian, A. Cox, H. Gould, and J. Tobochnik, Computer Program EJS STP MONTE CARLO PI MODEL (2008), <http://www.compadre.org/Repository/document/ServeFile.cfm?ID=7311&DocID=488>.
APA Format
Christian, W., Cox, A., Gould, H., & Tobochnik, J. (2008). Ejs STP Monte Carlo Pi Model [Computer software]. Retrieved April 1, 2015, from http://www.compadre.org/Repository/document/ServeFile.cfm?ID=7311&DocID=488
Chicago Format
Christian, W, A. Cox, H. Gould, and J. Tobochnik. "Ejs STP Monte Carlo Pi Model." http://www.compadre.org/Repository/document/ServeFile.cfm?ID=7311&DocID=488 (accessed 1 April 2015).
MLA Format
Christian, Wolfgang, Anne Cox, Harvey Gould, and Jan Tobochnik. Ejs STP Monte Carlo Pi Model. Computer software. 2008. Java 1.5. 1 Apr. 2015 <http://www.compadre.org/Repository/document/ServeFile.cfm?ID=7311&DocID=488>.
BibTeX Export Format
@misc{
Author = "Wolfgang Christian and Anne Cox and Harvey Gould and Jan Tobochnik",
Title = {Ejs STP Monte Carlo Pi Model},
Month = {May},
Year = {2008}
}
Refer Export Format
%A Wolfgang Christian
EndNote Export Format
%0 Computer Program Disclaimer: ComPADRE offers citation styles as a guide only. We cannot offer interpretations about citations as this is an automated procedure. Please refer to the style manuals in the Citation Source Information area for clarifications.
Citation Source Information
The AIP Style presented is based on information from the AIP Style Manual. The APA Style presented is based on information from APA Style.org: Electronic References. The Chicago Style presented is based on information from Examples of Chicago-Style Documentation. The MLA Style presented is based on information from the MLA FAQ. This resource is stored in 3 shared folders. You must login to access shared folders. Ejs STP Monte Carlo Pi Model:
Is Based On
Easy Java Simulations Modeling and Authoring Tool
The Ejs tool is needed to explore the computational model. relation by Anne Cox
Covers the Same Topic As
STP Monte Carlo Estimation
The Open Source program, part of a package of resources for Statistical and Thermal Physics, provides a similar simulation. relation by Anne CoxKnow of another related resource? Login to relate this resource to it. |
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