Software Open Access
Wicaksono, Damar Canggih;
Hecht, Michael
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<identifier identifierType="DOI">10.14278/rodare.3355</identifier>
<creators>
<creator>
<creatorName>Wicaksono, Damar Canggih</creatorName>
<givenName>Damar Canggih</givenName>
<familyName>Wicaksono</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8587-7730</nameIdentifier>
<affiliation>Center for Advanced Systems Understanding (CASUS)</affiliation>
</creator>
<creator>
<creatorName>Hecht, Michael</creatorName>
<givenName>Michael</givenName>
<familyName>Hecht</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9214-8253</nameIdentifier>
<affiliation>Center for Advanced Systems Understanding (CASUS)</affiliation>
</creator>
</creators>
<titles>
<title>UQTestFuns: A Python3 Library of Uncertainty Quantification (UQ) Test Functions</title>
</titles>
<publisher>Rodare</publisher>
<publicationYear>2024</publicationYear>
<subjects>
<subject>python</subject>
<subject>uncertainty-quantification</subject>
<subject>benchmark</subject>
<subject>sensitivity-analysis</subject>
<subject>metamodeling</subject>
<subject>reliability-analysis</subject>
</subjects>
<dates>
<date dateType="Issued">2024-11-18</date>
</dates>
<language>en</language>
<resourceType resourceTypeGeneral="Software"/>
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<relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.21105/joss.05671</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-37736</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-37735</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.2530</relatedIdentifier>
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<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/hzdr</relatedIdentifier>
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<version>v0.5.0</version>
<rightsList>
<rights rightsURI="https://opensource.org/licenses/MIT">MIT License</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract"><p>UQTestFuns is an open-source Python3 library of test functions commonly used within the applied uncertainty quantification (UQ) community. Specifically, the package provides:</p>
<ul>
<li>an implementation&nbsp;<em>with minimal dependencies</em>&nbsp;(i.e., NumPy and SciPy) and&nbsp;<em>a common interface</em>&nbsp;of many test functions</li>
<li>a&nbsp;<em>single entry point</em>&nbsp;collecting test functions&nbsp;<em>and</em>&nbsp;their probabilistic&nbsp;input specifications in a single Python package</li>
<li>an&nbsp;<em>opportunity for an open-source contribution</em>, supporting the implementation of new test functions or posting reference results.</li>
</ul>
<p>In short, UQTestFuns is an homage to the&nbsp;<a href="https://www.sfu.ca/~ssurjano/">Virtual Library of Simulation Experiments (VLSE)</a>.</p>
<p>v0.5.0 is a minor release that further expands the library of available UQ test functions. This update introduces 14 new test functions, bringing the total to 56.</p></description>
</descriptions>
</resource>
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