Computer Program Detail Page
written by Harvey Gould, Jan Tobochnik, Wolfgang Christian, and Anne Cox
The STP MonteCarloEstimation program estimates the area under the curve given by the square-root of (1-x^2) between 0 and 1 using the Monte Carlo hit and miss method.
STP MonteCarloEstimation is part of a suite of Open Source Physics programs that model aspects of Statistical and Thermal Physics (STP). The program is distributed as a ready-to-run (compiled) Java archive. Double clicking the stp_MonteCarloEstimation.jar file will run the program if Java is installed on your computer.
Please note that this resource requires at least version 1.5 of Java.
View the supplemental documents attached to this resource (2)
A pdf document that briefly describes the STP Monte Carlo Estimation program. It describes how to use the stp_MonteCarloEstimation.jar file and contains… more...
download 507kb .pdf
Published: January 26, 2009
ComPADRE is beta testing Citation Styles!
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 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.
STP Monte Carlo Estimation:
Is Part Of Statistical and Thermal Physics (STP) Package
STP Monte Carlo Estimation Program is a part of STP Application package that contains curricular materials for the teaching of Statistical and Thermal Physics.relation by Anne Cox
References STP Textbook Chapter 3: Concepts of Probability
This program illustrates concepts from Chapter 3 of Statistical and Thermal Physics by Gould and Tobochnik.relation by Anne Cox
Covers the Same Topic As Ejs STP Monte Carlo Pi Model
The EJS version of this program allows for editing of the model using Easy Java Simulations.relation by Anne Cox
Know of another related resource? Login to relate this resource to it.
Is Part Of