3D-Simulation-Visualization

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

https://github.com/TerdikGyorgy/3D-Simulation-Visualization

이 제출물을 팔로우합니다

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.

인용 양식

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

카테고리

Help CenterMATLAB Answers에서 Creating and Concatenating Matrices에 대해 자세히 알아보기

MATLAB 릴리스 호환 정보

  • 모든 릴리스와 호환

플랫폼 호환성

  • Windows
  • macOS
  • Linux

GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음

버전 퍼블리시됨 릴리스 정보 Action
1.0.1

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.