{ "info": { "author": "Nico Schl\u00f6mer", "author_email": "nico.schloemer@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Mathematics" ], "description": "PyNosh\n======\n\n|Build Status| |Coverage Status| |Code Health| |Documentation Status|\n|doi| |pypi|\n\nPyNosh is a solver package for nonlinear Schr\u00f6dinger equations. It\ncontains the respective model evaluators along with an implementation of\nNewton's method and optional preconditioner for its linearization.\n\nPyNosh uses `KryPy `__ for the\nsolution of linear equation systems and employs its deflation\ncapabilities. The package `VoroPy `__\nis used to construct the finite-volume discrezation.\n\nUsage\n=====\n\nDocumentation\n~~~~~~~~~~~~~\n\nThe documentation is hosted at\n`pynosh.readthedocs.org `__.\n\nExample\n~~~~~~~\n\n|Ginzburg-Landau solution abs| |Ginzburg-Landau solution arg|\n\nAbsolute value and complex argument of a solution of the\n*Ginzburg-Landau equations*, a particular instance of nonlinear\nSchr\u00f6dinger equations. The number of nodes in the discretization is\n72166 for this example.\n\nDevelopment\n===========\n\nPyNosh is currently maintained by `Nico\nSchl\u00f6mer `__. Feel free to contact Nico.\nPlease submit feature requests and bugs as GitHub issues.\n\nPyNosh is developed with continuous integration. Current status: |Build\nStatus|\n\nLicense\n=======\n\nPyNosh is free software licensed under the GPL3 License.\n\nReferences\n==========\n\nPyNosh was used to conduct the numerical experiments in the paper\n\n- `Preconditioned Recycling Krylov subspace methods for self-adjoint\n problems, A. Gaul and N. Schl\u00f6mer, arxiv: 1208.0264,\n 2012 `__.\n\n.. |Build Status| image:: https://travis-ci.org/nschloe/pynosh.png?branch=master\n :target: https://travis-ci.org/nschloe/pynosh\n.. |Coverage Status| image:: https://img.shields.io/coveralls/nschloe/pynosh.svg\n :target: https://coveralls.io/r/nschloe/pynosh?branch=master\n.. |Code Health| image:: https://landscape.io/github/nschloe/pynosh/master/landscape.png\n :target: https://landscape.io/github/nschloe/pynosh/master\n.. |Documentation Status| image:: https://readthedocs.org/projects/pynosh/badge/?version=latest\n :target: https://readthedocs.org/projects/pynosh/?badge=latest\n.. |doi| image:: https://zenodo.org/badge/doi/10.5281/zenodo.10341.png\n :target: https://zenodo.org/record/10341\n.. |pypi| image:: https://img.shields.io/pypi/v/pynosh.svg\n :target: https://pypi.python.org/pypi/pynosh\n.. |Ginzburg-Landau solution abs| image:: https://nschloe.github.io/pynosh/solution-abs.png\n.. |Ginzburg-Landau solution arg| image:: https://nschloe.github.io/pynosh/solution-arg.png", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/nschloe/pynosh/", "keywords": null, "license": "UNKNOWN", "maintainer": null, "maintainer_email": null, "name": "pynosh", "package_url": "https://pypi.org/project/pynosh/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/pynosh/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/nschloe/pynosh/" }, "release_url": "https://pypi.org/project/pynosh/0.2.2/", "requires_dist": null, "requires_python": null, "summary": "Nonlinear Schr\u00f6dinger equations", "version": "0.2.2" }, "last_serial": 1768460, "releases": { "0.2.1": [ { "comment_text": "", "digests": { "md5": "e13f3850bdc24ed03a4099dff5b66b37", "sha256": "3bebeea6a23a0769f32c3a13d87b05250c8ce212a878a8753cf726b007a2a45e" }, "downloads": -1, "filename": "pynosh-0.2.1.tar.gz", "has_sig": true, "md5_digest": "e13f3850bdc24ed03a4099dff5b66b37", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 14574, "upload_time": "2015-10-13T23:04:54", "url": "https://files.pythonhosted.org/packages/3a/a0/245c0eb0f3521ff85188eaf21dbb0569b36e982845f78ffde0f5570dd9ea/pynosh-0.2.1.tar.gz" } ], "0.2.2": [ { "comment_text": "", "digests": { "md5": "9eda35b57481e9b9ffc62ef158cf2f16", "sha256": "9562081aaedffeb97aa6f1b26e386f59834b6b6c105526790b69f661b4fadf43" }, "downloads": -1, "filename": "pynosh-0.2.2.tar.gz", "has_sig": true, "md5_digest": "9eda35b57481e9b9ffc62ef158cf2f16", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 14638, "upload_time": "2015-10-14T13:32:54", "url": "https://files.pythonhosted.org/packages/ed/0c/7dfd758e2ee71371d4bb09cad1c9fc1a3cf90c3a5cb7545f4603546c8231/pynosh-0.2.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "9eda35b57481e9b9ffc62ef158cf2f16", "sha256": "9562081aaedffeb97aa6f1b26e386f59834b6b6c105526790b69f661b4fadf43" }, "downloads": -1, "filename": "pynosh-0.2.2.tar.gz", "has_sig": true, "md5_digest": "9eda35b57481e9b9ffc62ef158cf2f16", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 14638, "upload_time": "2015-10-14T13:32:54", "url": "https://files.pythonhosted.org/packages/ed/0c/7dfd758e2ee71371d4bb09cad1c9fc1a3cf90c3a5cb7545f4603546c8231/pynosh-0.2.2.tar.gz" } ] }