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 and scipy;
• fenics and mshr;
• matplotlib;
• and other standard Python3 modules (os, typing, time, datetime, abc, pickle, traceback, and itertools).

Testing requires

• pytest.

Fenics

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

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.