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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

Conda version Conda last updated Conda platforms Conda licence

To install this package with conda run:

conda install -c jore matrix-decomposition

https://anaconda.org/jore/matrix-decomposition

pip

PyPI version PyPI format PyPI licence

To install this package with pip run:

pip install 'matrix-decomposition'

https://pypi.python.org/pypi/matrix-decomposition

GitHub

GitHub last tag GitHub license

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

https://github.com/jor-/matrix-decomposition

Zenodo

Zenodo doi 10.5281/zenodo.1295505

Documentation

Documentation Status

https://matrix-decomposition.readthedocs.io

Test status

Build Status Code Coverage

Project details


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