Sphere homeomorphic surface quasi isotropic sampling

Version 2.5 (99,9 KB) von Nicolas Douillet
Quasi isotropic sampling, random or regular (+mesh), for a sphere homeomorphic surfaces. Help, doc and examples included.
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Aktualisiert 1. Aug 2024
Lizenz auf GitHub anzeigen
Please first check the examples tab (.mlx doc) here on the right for a complete description.
Once downloaded, typewrite 'doc sphere_homeo_sfc_isotropic_splg' or 'help sphere_homeo_sfc_isotropic_splg' in Matlab console for support.
To benefit from the file documentation attached, be sure to download all the files.
Please don't forget to rate this code if it helped you ;-)

Zitieren als

Nicolas Douillet (2024). Sphere homeomorphic surface quasi isotropic sampling (https://github.com/NicolasDouillet/sphere_homeo_sfc_isotropic_splg/releases/tag/v2.5), GitHub. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

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Version Veröffentlicht Versionshinweise
2.5

See release notes for this release on GitHub: https://github.com/NicolasDouillet/sphere_homeo_sfc_isotropic_splg/releases/tag/v2.5
2.4

See release notes for this release on GitHub: https://github.com/NicolasDouillet/sphere_homeo_sfc_isotropic_splg/releases/tag/v2.4
2.3

Improved description, help, doc, cover img.
2.2

Typo
2.1

Set back cover img
2.0

Cover img, improved input parsing, help, doc (+ see also links), description
1.31.0.0

- Reversed icon
- Updated sample values in example
1.5

+ doc
1.4.0.0

- Improved example
- tags
1.3.0.0

- Added triplet list of the triangulation indices as an output for mesh generation (relevant for non random sampling only)
- Improved input check
1.2.0.0

- Syntax simplification
- Typography
- tags
1.1.0.0

- (1) : Improved function name : still explicit but shorter
- (2) : Corrected input arguments missing management
1.0.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.