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Metadata-Version: 2.4
Name: slepc4py
Version: 3.24.2
Summary: SLEPc for Python
Home-page: https://gitlab.com/slepc/slepc
Download-URL: https://pypi.io/packages/source/s/slepc4py/slepc4py-3.24.2.tar.gz
Author: Lisandro Dalcin
Author-email: dalcinl@gmail.com
Maintainer: SLEPc Team
Maintainer-email: slepc-maint@upv.es
License: BSD-2-Clause
Keywords: scientific computing,parallel computing,MPI,SLEPc,PETSc
Platform: POSIX
Platform: Linux
Platform: macOS
Platform: FreeBSD
Classifier: Operating System :: POSIX
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: C
Classifier: Programming Language :: C++
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Development Status :: 5 - Production/Stable
Requires: numpy
Description-Content-Type: text/x-rst
License-File: LICENSE.rst
Requires-Dist: numpy
Requires-Dist: petsc4py<3.25,>=3.24
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Dynamic: description
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SLEPc for Python
================
Python bindings for SLEPc_.
.. _SLEPc: https://slepc.upv.es
Install
-------
If you have a working MPI implementation and the ``mpicc`` compiler
wrapper is on your search path, it is highly recommended to install
``mpi4py`` first::
$ pip install mpi4py
Ensure you have NumPy installed::
$ pip install numpy
and finally::
$ pip install petsc petsc4py slepc slepc4py
Citations
---------
If SLEPc for Python has been significant to a project that leads to an
academic publication, please acknowledge that fact by citing the
project.
* L. Dalcin, P. Kler, R. Paz, and A. Cosimo,
*Parallel Distributed Computing using Python*,
Advances in Water Resources, 34(9):1124-1139, 2011.
https://doi.org/10.1016/j.advwatres.2011.04.013
* V. Hernandez, J.E. Roman and V. Vidal.
*SLEPc: A Scalable and Flexible Toolkit for the
Solution of Eigenvalue Problems*,
ACM Transactions on Mathematical Software, 31(3):351-362, 2005.
https://doi.org/10.1145/1089014.1089019
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