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1 PublicationUQTestFuns: A Python3 Library of Uncertainty Quantification (UQ) Test Functions
UQTestFuns is an open-source Python3 library of test functions commonly used within the applied uncertainty quantification (UQ) community. Specifically, the package provides:
- an implementation with minimal dependencies (i.e., NumPy and SciPy) and a common interface of many test functions
- a single entry point collecting test functions and their probabilistic input specifications in a single Python package
- an opportunity for an open-source contribution, supporting the implementation of new test functions or posting reference results.
In short, UQTestFuns is an homage to the Virtual Library of Simulation Experiments (VLSE).
v0.4.1 includes one additional test function used in the context of metamodeling. The package documentation has been updated following the review process during the submission to the Journal of Open Source Software (JOSS). This release is part of the acceptance of the package to JOSS.
This archive is part of the archival process to ROBIS.
Keywords: python; uncertainty-quantification; benchmark; sensitivity-analysis; metamodeling; reliability-analysis
Related publications
- DOI: 10.21105/joss.05671 is supplemented by this (Id 37736) publication
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UQTestFuns: A Python3 library of uncertainty quantification (UQ) test functions
ROBIS: 37735 has used this (Id 37736) publication of HZDR-primary research data
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Software in the HZDR data repository RODARE
Publication date: 2023-10-30 Open access
DOI: 10.14278/rodare.2530
Versions: 10.14278/rodare.2531
License: MIT
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Permalink: https://www.hzdr.de/publications/Publ-37736