December 21, 2022 Software Open Access

Villa, Umberto; Petra, Noemi; Ghattas, Omar

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.7471119</identifier>
  <creators>
    <creator>
      <creatorName>Villa, Umberto</creatorName>
      <givenName>Umberto</givenName>
      <familyName>Villa</familyName>
    </creator>
    <creator>
      <creatorName>Petra, Noemi</creatorName>
      <givenName>Noemi</givenName>
      <familyName>Petra</familyName>
    </creator>
    <creator>
      <creatorName>Ghattas, Omar</creatorName>
      <givenName>Omar</givenName>
      <familyName>Ghattas</familyName>
    </creator>
  </creators>
  <titles>
    <title>hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2022</publicationYear>
  <dates>
    <date dateType="Issued">2022-12-21</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/7471119</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/hippylib/hippylib/tree/3.1.0</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.596931</relatedIdentifier>
  </relatedIdentifiers>
  <version>3.1.0</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;ul&gt;
	&lt;li&gt;Switch to GitHub Actions for CI&lt;/li&gt;
	&lt;li&gt;Introduce a new function &lt;code&gt;BiLaplacianComputeCoefficients&lt;/code&gt; to estimate the PDE coefficient based on a prescribed marginal variance and correlation length&lt;/li&gt;
	&lt;li&gt;Allow &lt;code&gt;BiLaplacianPrior&lt;/code&gt; to take spatially varying coefficients as input&lt;/li&gt;
	&lt;li&gt;Add support for non-Gaussian noise models&lt;/li&gt;
	&lt;li&gt;Introduce utilities to interpolate cartesian data (expressed as &lt;code&gt;numpy&lt;/code&gt; arrays) on a &lt;code&gt;dolfin&lt;/code&gt; mesh.&lt;/li&gt;
&lt;/ul&gt;</description>
    <description descriptionType="Other">If you use this software, please cite it as below.</description>
  </descriptions>
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