Python wrapper for selected SLICOT routines, notably including solvers for Riccati, Lyapunov, and Sylvester equations.
Slycot depends on Numpy and, if you are installing a binary distribution, Numpy should be the only prerequisite (though you may need the LAPACK libraries as well, depending on your particular system configuration).
If you are installing Slycot from source, you will need a FORTRAN compiler, such as gfortran, and BLAS/LAPACK libraries.
On Debian derivatives you should be able to install all the above with a single command:
sudo apt-get build-dep python-scipy
On Mac, you will first need to install the developer tools. You can then install gfortran using homebrew with:
brew install gcc
On Windows, the BLAS and LAPACK libraries can be obtained from:
http://icl.cs.utk.edu/lapack-for-windows/libraries/VisualStudio/3.4.1/Dynamic-MINGW/Win32/
Slycot supports the pip packaging system. You must first have pip installed.
On Debian Linux based systems you can install pip with the command:
sudo apt-get install pip
Pip can then be used to install Slycot with the command:
pip install slycot
Note that installing with pip may or may not require having the build dependencies installed. There are some binary "wheels" available on PyPI, so if those versions match with your system, you may be able to avoid installing from source.
Slycot can be installed via the conda package manager from the conda-forge channel with the following command:
conda install -c conda-forge slycot
Unpack the course code to a directory of your choice,
e.g. /path/to/slycot_src/, and execute:
cd /path/to/slycot_src/ python setup.py install
Where # is for commands that needs to be executed as root/administrator.
If the build fails and you are on a 64bit OS you may want to try:
python setup.py config_fc --arch="-march=x86-64" build python setup.py install
You can also use conda to build and install slycot from source:
conda build conda-recipe conda install --use-local slycot
If you prefer to use the OpenBLAS library, a conda recipe is available in
conda-recipe-openblas.
Additional tips for how to install slycot from source can be found in the .travis.yml (commands used for Travis CI) and conda-recipe/ (conda pre-requisities). The hardest part about installing from source is getting a working version of FORTRAN and LAPACK installed on your system and working properly with Python. If you are using conda, you can also get working (binary) copies of LAPACK from conda-forge using the command:
conda install -c conda-forge lapack
Slycot will also work with the OpenBLAS libraries.
Note that in some cases you may need to set the LIBRARY_PATH environment variable to pick up dependencies such as -lpythonN.m (where N.m is the version of python you are using).