Python interface to UMFPACK sparse direct solver.
scikit-umfpack provides wrapper of UMFPACK sparse direct solver to SciPy.
`python >>> 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. Note you will need to have installed UMFPACK before hand. UMFPACK is parse of [SuiteSparse](http://faculty.cse.tamu.edu/davis/suitesparse.html).
scikit-umfpack depends on NumPy, SciPy, SuiteSparse, and swig is a build-time dependency.
SuiteSparse may be available from your package manager or as a prebuilt shared library. If that is the case use that if possible. Installation on Ubuntu 14.04 can be achieved with
` sudo apt-get install libsuitesparse-dev `
Otherwise, you will need to build from source. Unfortunately, SuiteSparse's makefiles do not support building a shared library out of the box. You may find [Stefan Fxfcrtinger instructions helpful](http://fuertinger.lima-city.de/research.html#building-numpy-and-scipy).
Furthmore, building METIS-4.0, an optional but important compile time dependency of SuiteSparse, has problems on newer GCCs. This [patch and instructions](http://www.math-linux.com/mathematics/linear-systems/article/how-to-patch-metis-4-0-error-conflicting-types-for-\_\_log2) from Nadir Soualem are helpful for getting a working METIS build.
Otherwise, I commend you to the documentation.
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> `
You can check the latest sources with the command:
` git clone https://github.com/scikit-umfpack/scikit-umfpack.git `
or if you have write privileges:
` git clone firstname.lastname@example.org:scikit-umfpack/scikit-umfpack.git `
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 `
You can download the latest distribution from PyPI here: http://pypi.python.org/pypi/scikit-umfpack
You can install scikit-umfpack for yourself from the terminal by running:
pip install --user scikit-umfpack
If you want to install it for all users on your machine, do:
pip install scikit-umfpackOn Linux, do sudo pip install scikit-umfpack.
This package was discovered in PyPI.