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Computational Physics Resources: Monte Carlo Integration & Importance Sampling
written by Spencer Wheaton
This website contains a set of 2 simulations and accompanying worksheets that introduce the techniques of sample mean, hit and miss and importance sampling Monte Carlo integration.

Please note that this resource requires at least version 1.6 of Java (JRE).
download 138kb .pdf
Last Modified: March 8, 2014
3 supplemental documents are available
Hit and Miss and Sample Mean Methods Worksheet
A worksheet to accompany the EJS simulation MCIntegration No1 1DHitMissSampleMean.jar
download 151kb .pdf
Last Modified: March 8, 2014
.jar
Hit & Miss Sample Mean Model
The Hit & Miss Sample Mean Model investigates Monte Carlo integration techniques. The user is able to input a 1D integrand and finite integration limits and specify the number of trials and the number of separate runs. The simulation allows the user to study the …
download 1852kb .jar
Last Modified: March 8, 2014
.jar
Monte Carlo Integration wiht Importance Sampling Model
The Monte Carlo Integration wiht Importance Sampling Model implements the sample mean and importance sampling techniques of Monte Carlo integration. The user can input a 1D integrand and finite integration limits and specify the required Monte Carlo technique or …
download 1862kb .jar
Last Modified: March 8, 2014
2 source code documents are available
.zip
Hit & Miss Sample Mean Source Code
The source code zip archive contains an XML representation of the Hit & Miss Sample Mean Model.  Unzip this archive in your EjsS 5 workspace to compile and run this model using EjsS 5 or above.
download 12kb .zip
Last Modified: March 8, 2014
.zip
Monte Carlo Integration wiht Importance Sampling Source Code
The source code zip archive contains an XML representation of the Monte Carlo Integration wiht Importance Sampling Model.  Unzip this archive in your EjsS 5 workspace to compile and run this model using EjsS 5 or above.
download 10kb .zip
Last Modified: March 8, 2014
Subjects Levels Resource Types
Mathematical Tools
- Probability
- Statistics
Thermo & Stat Mech
- Probability
= Gaussian Distribution
= Poisson Distribution
= Probability Density
= Random Walks
- Graduate/Professional
- Upper Undergraduate
- Instructional Material
= Interactive Simulation
= Tutorial
Intended Users Formats Ratings
- Learners
- Educators
- application/java
- application/pdf
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Mirror:
https://vula.uct.ac.za/access/con…
Access Rights:
Free access
License:
This material is released under a GNU General Public License Version 3 license.
Rights Holder:
Spencer Wheaton
Record Creator:
Metadata instance created March 6, 2014 by Spencer Wheaton
Record Updated:
March 8, 2014 by Wolfgang Christian
Other Collections:

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Record Link
AIP Format
S. Wheaton, Computer Program COMPUTATIONAL PHYSICS RESOURCES: MONTE CARLO INTEGRATION & IMPORTANCE SAMPLING (2014), WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=13200&DocID=3755).
AJP/PRST-PER
S. Wheaton, Computer Program COMPUTATIONAL PHYSICS RESOURCES: MONTE CARLO INTEGRATION & IMPORTANCE SAMPLING (2014), <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=13200&DocID=3755>.
APA Format
Wheaton, S. (2014). Computational Physics Resources: Monte Carlo Integration & Importance Sampling [Computer software]. Retrieved June 23, 2025, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=13200&DocID=3755
Chicago Format
Wheaton, Spencer. "Computational Physics Resources: Monte Carlo Integration & Importance Sampling." https://www.compadre.org/Repository/document/ServeFile.cfm?ID=13200&DocID=3755 (accessed 23 June 2025).
MLA Format
Wheaton, Spencer. Computational Physics Resources: Monte Carlo Integration & Importance Sampling. Computer software. 2014. Java (JRE) 1.6. 23 June 2025 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=13200&DocID=3755>.
BibTeX Export Format
@misc{ Author = "Spencer Wheaton", Title = {Computational Physics Resources: Monte Carlo Integration & Importance Sampling}, Year = {2014} }
Refer Export Format

%A Spencer Wheaton %T Computational Physics Resources: Monte Carlo Integration & Importance Sampling %D 2014 %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=13200&DocID=3755 %O application/java

EndNote Export Format

%0 Computer Program %A Wheaton, Spencer %D 2014 %T Computational Physics Resources: Monte Carlo Integration & Importance Sampling %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=13200&DocID=3755


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Computational Physics Resources: Monte Carlo Integration & Importance Sampling:

Is Based On Easy Java Simulations Modeling and Authoring Tool

The Easy Java Simulations Modeling and Authoring Tool is needed to explore the computational model used in the Computational Physics Resources: Monte Carlo Integration & Importance Sampling.

relation by Wolfgang Christian
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