Python library for Rational Reduced Order Modeling
Bumped version to 2.8.1
Bugfix of greedy postprocessing and chordal metric computation.
Bumped version to 2.8
Improved alternative methods for computing 1D rational approximant (added…
Hotfix for removed parameter in pivoted approximants.
Improved folder structure and code commenting.
Added hybrid POD option for column normalization and related sampling engine.
Added 2-way sparse grid refinement.
Fixed bug with preemptive end of greedy loop in pivoted approximation. Made…
Made match pivoted greedy rely on hat functions within outer loop. Removed…
Added absolute cutOff tolerances for poles. Added proxys for mu0 and…
Turned residueTol and cutOffTolerances into properties of HFEngine in…
Improved piecewise linear interpolation using triangular structure of…
Module for the solution and rational model order reduction of parametric PDE-based problem. Coded in Python 3.
- numpy and scipy;
- fenics and mshr;
- and other standard Python3 modules (os, typing, time, datetime, abc, pickle, traceback, and itertools).
conda create -n fenicsenv -c conda-forge pytest scipy matplotlib fenics mshr
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
conda activate fenicsenv
See the Anaconda documentation for more information.
Clone the repository
git clone http://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 182236.