Skip to main content

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

Test status

Build Status Code Coverage

Project details


Download files

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

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page