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pyMOR -- Generic Algorithms and Interfaces for Model Order Reduction

Milk, René; Rave, Stephan; Schindler, Felix

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Milk, René</dc:creator>
  <dc:creator>Rave, Stephan</dc:creator>
  <dc:creator>Schindler, Felix</dc:creator>
  <dc:description>pyMOR 2021.2 (December 22, 2021)
We are proud to announce the release of pyMOR 2021.2! New features in
this release are the addition of Dynamic Mode Decomposition for data-driven
model order reduction and the formalization of model inputs. Further,
general output error bounds for Reduced Basis reductors and experimental
scikit-fem support as an alternative to the builtin discretizers were
added. Wachspress' shifts accelerate the solution of Lyapunov equations
for symmetric system matrices.
Over 300 single commits have entered this release. For a full list of changes
see here.
pyMOR 2021.2 contains contributions by Tim Keil, Jonas Nicodemus and
Henrike von Hülsen. See here 
for more details.</dc:description>
  <dc:description>If you use this software, please cite it using these metadata.</dc:description>
  <dc:title>pyMOR -- Generic Algorithms and Interfaces for Model Order Reduction</dc:title>
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