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Python library for Rational Reduced Order Modeling

RationalROMPy (master)

.gitignore
LICENSE
MANIFEST.in
README.md
VERSION
bump_version.py
conda-fenics.yml
examples/
logo/
rrompy/
setup.cfg
setup.py
tests/

Recent Commits

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0a5500bb4456pradovera
Version 1.5 
May 9
402a0c0e051dpradovera
Bumped version to 1.5 
May 9
fea06a8b9cb7pradovera
Fixed LS assembly. Simplified and fixed homogeneized construction. 
May 9
eb4e6d7b7ffbpradovera
Fixed broken verbosityDepth. Added samples transfer. Improved 2d example. 
May 8
df50a590e6ebpradovera
Fixed RB trainedModel update. Fixed bulk approxParameters assignment. 
May 8
167530d86cecpradovera
Set graphical tests as xfails if not supported. Fixed trainedModel resetting. 
May 8
1841bc3e6d19pradovera
Fixed wrong approximant computation. Allowed N=0 in centered Pade'. 
May 7
568fdba53598pradovera
Fixed broken test cases. 
Apr 30
5e2eeb9a7df4pradovera
Fixed reordering bugs. Improved total degree sampler using dimension-wise… 
Apr 30
614c9d4524dapradovera
Added quadrature sampler with fixed total degree. Added Halton sequence. 
Apr 26
57a78d5db9f2pradovera
Fixed distributed numerator index ordering bug. Updated documentation. Using… 
Apr 25
97d218f60373pradovera
Fixed rational Pade' numerator bug. Made hfengines function spaces P1 for… 
Apr 24
430afe6e0f0dpradovera
Version 1.4 
Apr 23
594613169d4dpradovera
Bumped version to 1.4 
Apr 23
b9e7fd6b7408pradovera
Fixed multiD methods. Allowed compatibility for greedy. Accomodated tests. 
Apr 23

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 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.

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