Python interface to UMFPACK sparse direct solver.
Project description
scikit-umfpack
scikit-umfpack provides wrapper of UMFPACK sparse direct solver to SciPy.
Usage:
>>> from scikits.umfpack import spsolve, splu >>> lu = splu(A) >>> x = spsolve(A, b)
Installing scikits.umfpack also enables using UMFPACK solver via some of the scipy.sparse.linalg functions, for SciPy >= 0.14.0.
Dependencies
scikit-umfpack depends on NumPy and SciPy, swig is a build-time dependency.
Install
This package uses distutils, which is the default way of installing python modules. In the directory scikit-umfpack (the same as the file you are reading now) do:
python setup.py install
or for a local installation:
python setup.py install --root=<DIRECTORY>
Development
Code
You can check the latest sources with the command:
git clone https://github.com/rc/scikit-umfpack.git
or if you have write privileges:
git clone git@github.com:rc/scikit-umfpack.git
Testing
After installation, you can launch the test suite from outside the source directory (you will need to have the nose package installed):
nosetests -v scikits.umfpack
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Source Distribution
Built Distributions
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Hashes for scikit_umfpack-0.1-cp27-none-macosx_10_6_intel.whl
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