3D-Simulation-Visualization

3D-Directional Statistics, Simulation and Visualization (3D-Directional-SSV) is a fast, accurate, and convenient way to calculate, simulate,
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Aggiornato 22 lug 2018

this package can use the spherical harmonic characterization of a probability density function to generate random samples and plot both the density function as well as the simulated data points. Included in this package, there is one specific order (L = 3) and degree (m = 2) implemented for both real valued spherical harmonics and complex valued spherical harmonics [see Random_Y3_2Real_square.m and Random_Y3_2Compl_square.m,respectively]. Additionally, we developed code that will calculate and plot the densities for alternate specifications of degree and order [see Density_SphHarm.m and Density_SphHarm_All.m], and we encourage the user to explore this area if she or he is so inclined.

Cita come

Gyorgy Terdik (2026). 3D-Simulation-Visualization (https://github.com/TerdikGyorgy/3D-Simulation-Visualization), GitHub. Recuperato .

Compatibilità della release di MATLAB
Creato con R2016b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
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Versione Pubblicato Note della release
1.0.1

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Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.