Python library for Rational Reduced Order Modeling
Diffusion RationalROMPy (master)
Recent Commits
Recent Commits
| Commit | Author | Details | Committed | ||||
|---|---|---|---|---|---|---|---|
| de871521fd9b | pradovera | Version 1.1.1 | Mar 20 | ||||
| 1669d9e47899 | pradovera | Bumped version to 1.1.1. | Mar 20 | ||||
| a2ca2c7d9825 | pradovera | Fixed private functions bug. | Mar 20 | ||||
| 9fede43cedba | pradovera | Version 1.1 | Mar 20 | ||||
| e12cdd7ae4d9 | pradovera | Bumped version to 1.1. | Mar 20 | ||||
| c9551b918a85 | pradovera | Added LS-Hermite interpolant. Made private members actually private. Created… | Mar 20 | ||||
| f42990cb242c | pradovera | Fixed README (finally). | Mar 15 | ||||
| 702c1d098a10 | pradovera | Fixing README 2? | Mar 15 | ||||
| 50d49402512b | pradovera | Simplified storage of RHS terms. Modified hfengines, examples and tests… | Mar 15 | ||||
| 20045ab3384f | pradovera | Added some engine and sampling tests. Updated README with tests. Added option… | Mar 15 | ||||
| 90a58bfecbd5 | pradovera | Setup testing. Started with basic functionalities. Added logo. | Mar 14 | ||||
| fb0a24fbc16f | pradovera | Cleaned up examples. Fixed obsolete sampler bounds. Improved bare estimator. | Mar 14 | ||||
| d0bb2798e6d2 | pradovera | Added matrix engine for quick testing. Added more error estimators for Pade'… | Feb 28 | ||||
| 5bd9689f4473 | pradovera | Fixed naming convention. Added sample reordering. Setting up first release (1. | Feb 26 | ||||
| 56c946d2cb73 | pradovera | Added selecion of solvers (for linear system). | Feb 14 |
README.md
README.md
RROMPy -- Rational Reduced Order Modeling in Python
Module for the solution and rational model order reduction of parametric PDE-based problem. Coded in Python 3.6.
Prerequisites
RROMPy requires
- numpy;
- scipy;
- fenics.
Testing requires
- pytest.
Fenics
Most of the PDE 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 can be used. In order to use FEniCS, the environment must be activated through
source activate fenicsenv
Installing
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
License
This project is licensed under the GNU GENERAL PUBLIC LICENSE license - see the LICENSE file for details.
Acknowledgments
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.
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