RBniCS

RBniCS - reduced order modelling in FEniCS

The RBniCS Project contains an implementation in FEniCS of several reduced order modelling techniques for parametrized problems.

RBniCS was developed by Dr. Francesco Ballarin, currently at Università Cattolica del Sacro Cuore, in collaboration with Prof. Gianluigi Rozza's group at SISSA mathLab. The financial support of the AROMA-CFD ERC CoG project is gratefully acknowledged.

Like all core FEniCS components, RBniCS is freely available under the GNU LGPL, version 3.

Visit www.rbnicsproject.org for more information.

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for RBniCS 0.2.0
File	Size	Uploaded
RBniCS-0.2.0.tar.gz	309.5 kB	Dec 30, 2023	Details

Table of built distributions (wheels) for RBniCS 0.2.0
File	Interpreter	ABI	Platform	Reset
RBniCS-0.2.0-py3-none-any.whl 598.5 kB Dec 30, 2023	Python 3	none	any	Details

Total release size: 908.0 kB

Download URL	RBniCS-0.2.0.tar.gz
Size	309.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`5b331f4fd3e4fd9041dfcefbf06b97353ba4c0ec35f94e8cc5277b9ff7e9c1f9`
BLAKE2b-256 checksum How to use checksums	`2c8aa8ecc6c1d0966a1c549648091f03de90129dab009a87c69b11605e88982e`
Upload date	Dec 30, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.7`

Download URL	RBniCS-0.2.0-py3-none-any.whl
Size	598.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`968d1c4211193d6e2b0ea7ed9a097543fb2f428b7904abf1374f3c01d19a738f`
BLAKE2b-256 checksum How to use checksums	`550b5b67c330a6d7880522b64274d0282664ba585386caa81234dd5be5fbb89d`
Upload date	Dec 30, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.11.7`

This release

0.2.0 This release