This library allows to approximate Hermitian (dense and sparse) matrices by positive definite matrices. Furthermore it allows to decompose (factorize) positive definite matrices and solve associated systems of linear equations.
This is matrix-decomposition, a library to approximate Hermitian (dense and sparse) matrices by positive definite matrices. Furthermore it allows to decompose (factorize) positive definite matrices and solve associated systems of linear equations.
There are several ways to obtain and install this package.
To install this package with conda run:
conda install -c jore matrix-decomposition
To install this package with pip run:
pip install 'matrix-decomposition'
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
Copyright (C) 2017-2018 Joscha Reimer email@example.com
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/>.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|matrix_decomposition-1.0-py3-none-any.whl (46.1 kB) Copy SHA256 hash SHA256||Wheel||py3||Jun 21, 2018|
|matrix-decomposition-1.0.tar.gz (65.4 kB) Copy SHA256 hash SHA256||Source||None||Jun 21, 2018|