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pymor/pymor: pyMOR 2020.1.2

Stephan Rave; Petar Mlinarić; Felix Schindler; Tim Keil; Hendrik Kleikamp; Michael Laier; Andreas Buhr; Michael Schaefer; Julia Brunken; René Fritze; Luca Mechelli; cabuze


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  <identifier identifierType="DOI">10.5281/zenodo.4008971</identifier>
  <creators>
    <creator>
      <creatorName>Stephan Rave</creatorName>
    </creator>
    <creator>
      <creatorName>Petar Mlinarić</creatorName>
      <affiliation>Max Planck Institute for Dynamics of Complex Technical Systems</affiliation>
    </creator>
    <creator>
      <creatorName>Felix Schindler</creatorName>
    </creator>
    <creator>
      <creatorName>Tim Keil</creatorName>
    </creator>
    <creator>
      <creatorName>Hendrik Kleikamp</creatorName>
    </creator>
    <creator>
      <creatorName>Michael Laier</creatorName>
    </creator>
    <creator>
      <creatorName>Andreas Buhr</creatorName>
    </creator>
    <creator>
      <creatorName>Michael Schaefer</creatorName>
      <affiliation>Institute for Computational and Applied Mathematics (University of Münster)</affiliation>
    </creator>
    <creator>
      <creatorName>Julia Brunken</creatorName>
    </creator>
    <creator>
      <creatorName>René Fritze</creatorName>
      <affiliation>Institute for Applied Mathematics Münster</affiliation>
    </creator>
    <creator>
      <creatorName>Luca Mechelli</creatorName>
    </creator>
    <creator>
      <creatorName>cabuze</creatorName>
    </creator>
  </creators>
  <titles>
    <title>pymor/pymor: pyMOR 2020.1.2</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-08-31</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4008971</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/pymor/pymor/tree/2020.1.2</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.592992</relatedIdentifier>
  </relatedIdentifiers>
  <version>2020.1.2</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;pyMOR is a software library for building model order reduction
applications with the Python programming language. Implemented
algorithms include reduced basis methods for parametric linear and
non-linear problems, as well as system-theoretic methods such as
balanced truncation or IRKA. All algorithms in pyMOR are formulated in
terms of abstract interfaces for seamless integration with external PDE
solver packages. Moreover, pure Python implementations of finite element
and finite volume discretizations using the NumPy/SciPy scientific
computing stack are provided for getting started quickly.&lt;/p&gt;
&lt;p&gt;pyMOR 2020.1.2 is a bugfix release:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;for the PyMESS bindings we now ensure solve_lyap_dense returns a NumPy array&lt;/li&gt;
&lt;li&gt;to avoid setup problems, and following NumPy we require setuptools &amp;lt; 49.2.0&lt;/li&gt;
&lt;li&gt;improved consistency in Newton and line search logging output&lt;/li&gt;
&lt;/ul&gt;</description>
  </descriptions>
</resource>
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