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pymor/pymor: pyMOR 0.4.1

Stephan Rave; René Milk; Felix Schindler; Petar Mlinarić; Michael Laier; andreasbuhr; Michael Schaefer; fameyer; Julia Brunken; cabuze

pyMOR is a software library for building model order reduction applications with the Python programming language. Its main focus lies on the application of reduced basis methods to parameterized partial differential equations. All algorithms in pyMOR are formulated in terms of abstract interfaces for seamless integration with external high-dimensional PDE solvers. Moreover, pure Python implementations of finite element and finite volume discretizations using the NumPy/SciPy scientific computing stack are provided for getting started quickly.

Highlights of this release are:

  • Support for the FEniCS and deal.II PDE solver libraries.
  • Parallelization of pyMOR’s reduction algorithms.
  • Support classes for MPI distributed PDE solvers.
  • Adaptive greedy basis generation.
  • Generic reduction error estimation for parabolic problems.
  • Copy-on-write semantics for VectorArrays.
  • Multiple improvements to pyMOR’s discretizaion tookit.
  • Improved cache backend.

The full release notes can be found under the following address:

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