Software Open Access
pymor/pymor: pyMOR 2020.2.0
Stephan Rave; Petar Mlinarić; Tim Keil; Felix Schindler; Hendrik Kleikamp; Michael Laier; Andreas Buhr; Michael Schaefer; G. D. McBain; Julia Brunken; Meret Behrens; Luca Mechelli; cabuze
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:
- Parameter derivatives of solutions and outputs
- Neural network reductor for non-stationary problems
- New tutorials
You can read the full release notes at https://docs.pymor.org/2020.2.0/release_notes/all.html
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pymor/pymor-2020.2.0.zip
md5:cb47767a8d4aa19ae101e768e522c1d9 |
1.4 MB | Download |
| All versions | This version | |
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| Views | 541 | 65 |
| Downloads | 25 | 0 |
| Data volume | 13.9 MB | 0 Bytes |
| Unique views | 509 | 65 |
| Unique downloads | 12 | 0 |
Indexed in
- Publication date:
- December 10, 2020
- DOI:
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- Related identifiers:
- Supplement to
- License (for files):
- Other (Open)