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Computer Program Detail Page

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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).
3 supplemental documents are available
2 source code documents are available
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
ComPADRE is beta testing Citation Styles!

Record Link
AIP Format
S. Wheaton, Computer Program COMPUTATIONAL PHYSICS RESOURCES: MONTE CARLO INTEGRATION & IMPORTANCE SAMPLING (2014), WWW Document, (http://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), <http://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 July 28, 2016, from http://www.compadre.org/Repository/document/ServeFile.cfm?ID=13200&DocID=3755
Chicago Format
Wheaton, Spencer. "Computational Physics Resources: Monte Carlo Integration & Importance Sampling." http://www.compadre.org/Repository/document/ServeFile.cfm?ID=13200&DocID=3755 (accessed 28 July 2016).
MLA Format
Wheaton, Spencer. Computational Physics Resources: Monte Carlo Integration & Importance Sampling. Computer software. 2014. Java (JRE) 1.6. 28 July 2016 <http://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 http://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 http://www.compadre.org/Repository/document/ServeFile.cfm?ID=13200&DocID=3755


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.

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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