{ "info": { "author": "Joscha Reimer", "author_email": "jor@informatik.uni-kiel.de", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Utilities" ], "description": "====================\nMATRIX-DECOMPOSITION\n====================\n\nThis 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.\n\n\nRelease info\n============\n\nThere are several ways to obtain and install this package.\n\nConda\n-----\n\n.. image:: https://img.shields.io/conda/v/jore/matrix-decomposition.svg\n :target: https://anaconda.org/jore/matrix-decomposition\n :alt: Conda version\n.. image:: https://anaconda.org/jore/matrix-decomposition/badges/latest_release_date.svg\n :target: https://anaconda.org/jore/matrix-decomposition\n :alt: Conda last updated\n.. image:: https://anaconda.org/jore/matrix-decomposition/badges/platforms.svg\n :target: https://anaconda.org/jore/matrix-decomposition\n :alt: Conda platforms\n.. image:: https://anaconda.org/jore/matrix-decomposition/badges/license.svg\n :target: https://anaconda.org/jore/matrix-decomposition\n :alt: Conda licence\n\n\nTo install this package with *conda* run:\n\n ``conda install -c jore matrix-decomposition``\n\nhttps://anaconda.org/jore/matrix-decomposition\n\n\npip\n---\n\n.. image:: https://img.shields.io/pypi/v/matrix-decomposition.svg\n :target: https://pypi.python.org/pypi/matrix-decomposition\n :alt: PyPI version\n.. image:: https://img.shields.io/pypi/format/matrix-decomposition.svg\n :target: https://pypi.python.org/pypi/matrix-decomposition\n :alt: PyPI format\n.. image:: https://img.shields.io/pypi/l/matrix-decomposition.svg\n :target: https://pypi.python.org/pypi/matrix-decomposition\n :alt: PyPI licence\n\nTo install this package with *pip* run:\n\n ``pip install 'matrix-decomposition'``\n\nhttps://pypi.python.org/pypi/matrix-decomposition\n\n\nGitHub\n------\n\n.. image:: https://img.shields.io/github/tag/jor-/matrix-decomposition.svg\n :target: https://github.com/jor-/matrix-decomposition\n :alt: GitHub last tag\n.. image:: https://img.shields.io/github/license/jor-/matrix-decomposition.svg\n :target: https://github.com/jor-/matrix-decomposition\n :alt: GitHub license\n\nTo clone this package with *git* run:\n\n ``git clone https://github.com/jor-/matrix-decomposition.git``\n\nTo install this package after that with *python* run:\n\n ``cd matrix-decomposition; python setup.py install``\n\nhttps://github.com/jor-/matrix-decomposition\n\n\nZenodo\n------\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1295505.svg\n :target: https://doi.org/10.5281/zenodo.1295505\n :alt: Zenodo doi 10.5281/zenodo.1295505\n\n\nDocumentation\n=============\n\n.. image:: https://readthedocs.org/projects/matrix-decomposition/badge/?version=stable\n :target: http://matrix-decomposition.readthedocs.io/en/stable/?badge=stable\n :alt: Documentation Status\n\nhttps://matrix-decomposition.readthedocs.io\n\n\nTest status\n===========\n\n.. image:: https://travis-ci.org/jor-/matrix-decomposition.svg?branch=master\n :target: https://travis-ci.org/jor-/matrix-decomposition\n :alt: Build Status\n.. image:: https://codecov.io/gh/jor-/matrix-decomposition/branch/master/graph/badge.svg\n :target: https://codecov.io/gh/jor-/matrix-decomposition\n :alt: Code Coverage\n\n\nCopyright\n=========\n\nCopyright (C) 2017-2019 Joscha Reimer jor@informatik.uni-kiel.de\n\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the GNU Affero General Public License as\npublished by the Free Software Foundation, either version 3 of the\nLicense, or (at your option) any later version.\n\nThis program is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\nGNU Affero General Public License for more details.\n\nYou should have received a copy of the GNU Affero General Public License\nalong with this program. If not, see .\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/jor-/matrix_decomposition", "keywords": "approximation Hermitian dense sparse matrix matrices positive definite decompose factorize decomposition factorization linear equation equations Cholesky", "license": "AGPL", "maintainer": "", "maintainer_email": "", "name": "matrix-decomposition", "package_url": "https://pypi.org/project/matrix-decomposition/", "platform": "", "project_url": "https://pypi.org/project/matrix-decomposition/", "project_urls": { "Homepage": "https://github.com/jor-/matrix_decomposition" }, "release_url": "https://pypi.org/project/matrix-decomposition/1.1/", "requires_dist": [ "numpy (>=1.15)", "scipy (>=0.19)", "scikit-sparse (>=0.4.2) ; extra == 'decompose_sparse'" ], "requires_python": ">=3.7", "summary": "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.", "version": "1.1" }, "last_serial": 5849404, "releases": { "0.7": [ { "comment_text": "", "digests": { "md5": "b71c3ef17c1d1f7ac2406e0c2c1f9fdb", "sha256": "02f3e7e9fbb128f1611f49a3a7b0521de814e01a0969afa18512e78a2ef6d9e2" }, "downloads": -1, "filename": "matrix-decomposition-0.7.0.1.tar.gz", "has_sig": false, "md5_digest": "b71c3ef17c1d1f7ac2406e0c2c1f9fdb", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 35748, "upload_time": "2017-06-02T12:06:26", "url": "https://files.pythonhosted.org/packages/12/ca/6334b2e43a38f6226d1acf27aeecf931c4c8a37bfac94177ac0fe31dd6b4/matrix-decomposition-0.7.0.1.tar.gz" }, { "comment_text": "", "digests": { "md5": "1134292b5830b21554b3546aceb1bdaf", "sha256": "2b044602a2e8c4c1280e42fb6b174b9176ad5a0b0161c761f75650273973a833" }, "downloads": -1, "filename": "matrix_decomposition-0.7-py3-none-any.whl", "has_sig": false, "md5_digest": "1134292b5830b21554b3546aceb1bdaf", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 27047, "upload_time": "2017-06-02T12:00:09", "url": "https://files.pythonhosted.org/packages/5e/9d/0e42ae57d0eb56562b795b2cb31321123e6bc4049dde5b0d52ce039de954/matrix_decomposition-0.7-py3-none-any.whl" } ], "0.8": [ { "comment_text": "", "digests": { "md5": "97b40b9090b1e88f6a3148ad288f4ebf", "sha256": "b53e0b65daea1568576c08fbd522e9ae45f180a74bfbb37ee6d8008082f46550" }, "downloads": -1, "filename": "matrix_decomposition-0.8-py3-none-any.whl", "has_sig": false, "md5_digest": "97b40b9090b1e88f6a3148ad288f4ebf", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 44528, "upload_time": "2018-06-21T11:37:58", "url": "https://files.pythonhosted.org/packages/8b/e0/89810e6f7a8baf783a30fa37bfb3fb0b7a4bcd68e43701e1276f556e4e7a/matrix_decomposition-0.8-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "a547f1e389e7f5f193701e6d7f0f8d39", "sha256": "7ecdb688f1a53e0e55102a361216bb1578384b459b229b9465c47b38ac550ea5" }, "downloads": -1, "filename": "matrix-decomposition-0.8.tar.gz", "has_sig": false, "md5_digest": "a547f1e389e7f5f193701e6d7f0f8d39", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 64740, "upload_time": "2018-06-21T11:38:06", "url": "https://files.pythonhosted.org/packages/86/47/31fd6c3716f4c5293e7588f19ca441801033a56a5dc614993bc677728b44/matrix-decomposition-0.8.tar.gz" } ], "1.0": [ { "comment_text": "", "digests": { "md5": "bf749b00f08e9ee9e97be4328b348999", "sha256": "14e08d8d71f653b1d9b2ae647bcb3ee9a82aa92e27abb78e24fef1462ca6cc78" }, "downloads": -1, "filename": "matrix_decomposition-1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "bf749b00f08e9ee9e97be4328b348999", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 46109, "upload_time": "2018-06-21T12:25:01", "url": "https://files.pythonhosted.org/packages/7e/d6/d6a4e3a771134cb9f41cd28a8e0b314168cf4fbbdbe22356696d6f6e75f4/matrix_decomposition-1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "410318872b2bfd0eceb6fe3067733119", "sha256": "1819878b3669e776931647573b4a5539351e5a1b5687f2204532d96953b49535" }, "downloads": -1, "filename": "matrix-decomposition-1.0.tar.gz", "has_sig": false, "md5_digest": "410318872b2bfd0eceb6fe3067733119", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 65412, "upload_time": "2018-06-21T12:24:53", "url": "https://files.pythonhosted.org/packages/6a/7c/cabd7a8d513b63b3768bfd9114e32bba087a4740d0be7285540bfbf88990/matrix-decomposition-1.0.tar.gz" } ], "1.1": [ { "comment_text": "", "digests": { "md5": "21cfaaf3ebe834d9169730167ca90a12", "sha256": "8b06e3063e3b3e6bf14df8c9a308be6ccb3811b6082212da92328578aac91efc" }, "downloads": -1, "filename": "matrix_decomposition-1.1-py3-none-any.whl", "has_sig": false, "md5_digest": "21cfaaf3ebe834d9169730167ca90a12", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.7", "size": 61697, "upload_time": "2019-09-18T11:15:53", "url": "https://files.pythonhosted.org/packages/ce/fd/ff08280219c62b1f9c3d44282c5abc2469ddb26c34b3c87a1ce8705d1574/matrix_decomposition-1.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "0d2ba909cfc4863fbe9b967d642658b0", "sha256": "8abb50d62fd4857977d7a071ef556f70a397ac6b3aa9cf76b11c5e2adc4dc1b2" }, "downloads": -1, "filename": "matrix-decomposition-1.1.tar.gz", "has_sig": false, "md5_digest": "0d2ba909cfc4863fbe9b967d642658b0", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.7", "size": 63907, "upload_time": "2019-09-18T11:15:56", "url": "https://files.pythonhosted.org/packages/7b/51/eb016a7693809a46197a60cf0dd5424453a65f7df63b3badba24b211515c/matrix-decomposition-1.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "21cfaaf3ebe834d9169730167ca90a12", "sha256": "8b06e3063e3b3e6bf14df8c9a308be6ccb3811b6082212da92328578aac91efc" }, "downloads": -1, "filename": "matrix_decomposition-1.1-py3-none-any.whl", "has_sig": false, "md5_digest": "21cfaaf3ebe834d9169730167ca90a12", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.7", "size": 61697, "upload_time": "2019-09-18T11:15:53", "url": "https://files.pythonhosted.org/packages/ce/fd/ff08280219c62b1f9c3d44282c5abc2469ddb26c34b3c87a1ce8705d1574/matrix_decomposition-1.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "0d2ba909cfc4863fbe9b967d642658b0", "sha256": "8abb50d62fd4857977d7a071ef556f70a397ac6b3aa9cf76b11c5e2adc4dc1b2" }, "downloads": -1, "filename": "matrix-decomposition-1.1.tar.gz", "has_sig": false, "md5_digest": "0d2ba909cfc4863fbe9b967d642658b0", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.7", "size": 63907, "upload_time": "2019-09-18T11:15:56", "url": "https://files.pythonhosted.org/packages/7b/51/eb016a7693809a46197a60cf0dd5424453a65f7df63b3badba24b211515c/matrix-decomposition-1.1.tar.gz" } ] }