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

Approximate Hermitian (dense and sparse) matrices by positive definite matrices.
https://github.com/jor-/matrix-decomposition

mathematics

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Approximate Hermitian (dense and sparse) matrices by positive definite matrices.

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README

        

====================
MATRIX-DECOMPOSITION
====================

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
-----

.. image:: https://img.shields.io/conda/v/jore/matrix-decomposition.svg
:target: https://anaconda.org/jore/matrix-decomposition
:alt: Conda version
.. image:: https://anaconda.org/jore/matrix-decomposition/badges/latest_release_date.svg
:target: https://anaconda.org/jore/matrix-decomposition
:alt: Conda last updated
.. image:: https://anaconda.org/jore/matrix-decomposition/badges/platforms.svg
:target: https://anaconda.org/jore/matrix-decomposition
:alt: Conda platforms
.. image:: https://anaconda.org/jore/matrix-decomposition/badges/license.svg
:target: https://anaconda.org/jore/matrix-decomposition
:alt: Conda licence

To install this package with *conda* run:

``conda install -c jore matrix-decomposition``

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

pip
---

.. image:: https://img.shields.io/pypi/v/matrix-decomposition.svg
:target: https://pypi.python.org/pypi/matrix-decomposition
:alt: PyPI version
.. image:: https://img.shields.io/pypi/format/matrix-decomposition.svg
:target: https://pypi.python.org/pypi/matrix-decomposition
:alt: PyPI format
.. image:: https://img.shields.io/pypi/l/matrix-decomposition.svg
:target: https://pypi.python.org/pypi/matrix-decomposition
:alt: PyPI licence

To install this package with *pip* run:

``pip install 'matrix-decomposition'``

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

GitHub
------

.. image:: https://img.shields.io/github/tag/jor-/matrix-decomposition.svg
:target: https://github.com/jor-/matrix-decomposition
:alt: GitHub last tag
.. image:: https://img.shields.io/github/license/jor-/matrix-decomposition.svg
:target: https://github.com/jor-/matrix-decomposition
:alt: 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
------

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1295505.svg
:target: https://doi.org/10.5281/zenodo.1295505
:alt: Zenodo doi 10.5281/zenodo.1295505

Documentation
=============

.. image:: https://readthedocs.org/projects/matrix-decomposition/badge/?version=stable
:target: http://matrix-decomposition.readthedocs.io/en/stable/?badge=stable
:alt: Documentation Status

https://matrix-decomposition.readthedocs.io

Test status
===========

.. image:: https://travis-ci.org/jor-/matrix-decomposition.svg?branch=master
:target: https://travis-ci.org/jor-/matrix-decomposition
:alt: Build Status
.. image:: https://codecov.io/gh/jor-/matrix-decomposition/branch/master/graph/badge.svg
:target: https://codecov.io/gh/jor-/matrix-decomposition
:alt: Code Coverage

Copyright
=========

Copyright (C) 2017-2019 Joscha Reimer [email protected]

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 .