Python library for Rational Reduced Order Modeling
Bumped version to 1.1.1.
Fixed private functions bug.
Bumped version to 1.1.
Added LS-Hermite interpolant. Made private members actually private. Created…
Fixed README (finally).
Fixing README 2?
Simplified storage of RHS terms. Modified hfengines, examples and tests…
Added some engine and sampling tests. Updated README with tests. Added option…
Setup testing. Started with basic functionalities. Added logo.
Cleaned up examples. Fixed obsolete sampler bounds. Improved bare estimator.
Added matrix engine for quick testing. Added more error estimators for Pade'…
Fixed naming convention. Added sample reordering. Setting up first release (1.
Added selecion of solvers (for linear system).
Module for the solution and rational model order reduction of parametric PDE-based problem. Coded in Python 3.6.
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
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.