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CSparse.py: a Concise Sparse matrix Python module

Copyright (C) 2006-2011, Timothy A. Davis

Copyright (C) 2012, Richard Lincoln

http://www.cise.ufl.edu/research/sparse/CSparse/

CSparse.py is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version.

CSparse.py 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 Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this Module; if not, write to the Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301

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csparse.py's Issues

Port to cython

Hello Richard,

This was triggered by the recent finding that scipy sparse classes introduce such an overhead that sparse matrix checks take more time in GridCal's power flows than the matrix multiplication and linear system solving combined. That is absurd.

So I started reading Davis's book and when googled "CSparse python", your repository appear (who else!)

Well, right now I am porting your code to python 3, with the final aim of taking critical parts into cython and maybe link MKL for the linear system solving. I think this code is perfect for that because it is written in system python with no numpy dependencies.

I am interested about your thoughts on this, and if you know any other competitive sparse lineal algebra library in python, preferably python wrapper of a C/Fortran library.

Best regards,
Santiago

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