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Published December 16, 2019 | Version 2019.2.0
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pymor/pymor: pyMOR 2019.2.0

  • 1. Max Planck Institute for Dynamics of Complex Technical Systems
  • 2. Institute for Computational and Applied Mathematics (University of Münster)

Description

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.

Highlights of this release are:

  • Improved model and reductor design makes pyMOR easier to extend.
  • Extended VectorArray interface with generic complex number support.
  • Improved and extended system-theoretic MOR methods.
  • Builtin support for model outputs and parameter sensitivities.

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