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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Actualizado 22 jul 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.

Citar como

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

Compatibilidad con la versión de MATLAB
Se creó con R2016b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Creating and Concatenating Matrices en Help Center y MATLAB Answers.

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Versión Publicado Notas de la versión
1.0.1

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.