Delaunay density diagnostic
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
The Delaunay density diagnostic helps detect and assess geometric scales within unstructured numerical data sets. The algorithm was first introduced in the paper "Data-driven geometric scale detection via Delaunay interpolation" by Andrew Gillette and Eugene Kur, 2022. More details can be found in that paper, as well as the included README file.
- Short Name / Acronym:
- DDD
- Site Accession Number:
- LLNL-CODE-833036
- Software Type:
- Scientific
- License(s):
- MIT License
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)Primary Award/Contract Number:AC52-07NA27344
- DOE Contract Number:
- AC52-07NA27344
- Code ID:
- 72093
- OSTI ID:
- code-72093
- Country of Origin:
- United States
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