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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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    <dct:description>&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;</dct:description>
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