Latest PyPI version MIT license. Travis CI build status Coverage status

A (sparse) matrix solver for python.

Solving Ax = b should be as easy as:

Ainv = Solver(A)
x = Ainv * b

In pymatsolver we provide a number of wrappers to existing numerical packages. Nothing fancy here.

Solvers Available

All solvers work with scipy.sparse matricies, and a single or multiple right hand sides using numpy:

  • L/U Triangular Solves
  • Wrapping of SciPy matrix solvers (direct and indirect)
  • Pardiso solvers now that MKL comes with conda!
  • Mumps solver with nice error messages

Installing Mumps

We have not been able to get the pip install to work because of multiple dependencies on fortran libraries. However, the linux and mac installs are relatively easy. Note that you must have mumps pre-installed, currently we have only got this working for the sequential version, so when you are installing, you will need to point to that one. You can also look at the .travis.yml file for how to get it working on TravisCI.


From a clean install on Ubuntu:

apt-get update
apt-get -y install gcc gfortran git libopenmpi-dev libmumps-seq-dev libblas-dev liblapack-dev

# Install all the python you need!
wget -O;
chmod +x
./ -b
export PATH=/root/anaconda/bin:/root/miniconda/bin:$PATH
conda update --yes conda
conda install --yes numpy scipy matplotlib cython ipython nose

git clone
cd pymatsolver
make mumps


This assumes that you have Brew and some python installed (numpy, scipy):

brew install mumps --with-scotch5 --without-mpi

git clone
cd pymatsolver
make mumps_mac

If you have problems you may have to go into the Makefile and update the pointers to Lib and Include for the various libraries.

This command is helpful for finding dependencies. You should also take note of have happens when brew installs mumps.

mpicc --showme



Bugs & Issues:

License: MIT

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