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.
Project description
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.
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/>.
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