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This simulation illustrates a fast implementation of three dimensional Brownian motion, the output is the Euclidean distance between initial and final positions.
To calculate the mean value of T runs, run the following code in the Command window :
>>T=100;
>> for n=1:T
>>Brownianmotion;
>>close;
>>D(n)=d;
>>end
>>figure; plot(D),title(' Distance ');
>>dd=mean(D)
Cite As
Youssef Khmou (2026). 3D Brownian Motion (https://au.mathworks.com/matlabcentral/fileexchange/50841-3d-brownian-motion), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Brownian Motion, Simulation for Brownian Motion within an Harmonic Potential
General Information
- Version 1.0.0.0 (1.28 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | Screenshot added. |
