Python library for Rational Reduced Order Modeling
Bumped version to 1.6
Added dual norm computation and residual evalution. Fixed radial basis…
Improved plotting in 2d examples. Updated tests.
Simplified linear system assembly in hfengines. Fixed bug in linear elasticity…
Added radial basis interpolation. Improved rational numerator management. Added…
Added synthetic hfengine and example. Upgraded 2d plotting.
Fixed bmat warning bug.
Completed preliminary radial_basis functions. Added corresponding tests.
Started radial basis engine. To be completed and tested.
Added cookie hfengine and example.
Fixed minor plotting issue.
Added HF sample batching using scipy tools. Improved 2d example. Improved…
Added 1d/2d fracture test.
Module for the solution and rational model order reduction of parametric PDE-based problem. Coded in Python 3.6.
- numpy and scipy;
- fenics and mshr;
- and other standard Python3 modules (os, typing, time, datetime, abc, pickle, traceback, and itertools).
Most of the high fidelity problem engines already provided rely on FEniCS. If you do not have FEniCS installed, you may want to create an Anaconda3/Miniconda3 environment using the provided conda-fenics.yml environment file by running the command
conda env create --file conda-fenics.yml
This will create an environment where Fenics (and all other required modules) can be used. In order to use FEniCS, the environment must be activated through
source activate fenicsenv
Clone the repository
git clone https://c4science.ch/source/RROMPy.git
enter the main folder and install the package by typing
python3 setup.py install
The installation can be tested with
python3 setup.py test
This project is licensed under the GNU GENERAL PUBLIC LICENSE license - see the LICENSE file for details.
Part of the funding that made this module possible has been provided by the Swiss National Science Foundation through the FNS Research Project No. 182236.