decompose (factorize) dense and sparse matrices and solve associated systems of linear equations
Project description
This is matrix-decomposition, a library for decompose (factorize) dense and sparse matrices in Python.
Release info
There are several ways to obtain and install this package.
Conda
To install this package with conda run:
conda install -c jore matrix-decomposition
pip
To install this package with pip run:
pip install 'matrix-decomposition'
GitHub
To clone this package with git run:
git clone https://github.com/jor-/matrix-decomposition.git
To install this package after that with python run:
cd matrix-decomposition; python setup.py install
Documentation
Test status
Copyright
Copyright (C) 2017-2018 Joscha Reimer jor@informatik.uni-kiel.de
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for matrix_decomposition-0.8-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b53e0b65daea1568576c08fbd522e9ae45f180a74bfbb37ee6d8008082f46550 |
|
MD5 | 97b40b9090b1e88f6a3148ad288f4ebf |
|
BLAKE2b-256 | 8be089810e6f7a8baf783a30fa37bfb3fb0b7a4bcd68e43701e1276f556e4e7a |