Slycot

Python wrapper for selected SLICOT routines, notably including solvers for Riccati, Lyapunov and Sylvester equations.

Prerequisite:

You will need Numpy, a fortran compiler such as gfortran and BLAS/LAPACK libraries for building Slycot.

On Debian derivates you can install all the above with a single command:

sudo apt-get build-dep python-scipy

On Windows, I suggest installing on top of the Python(x,y) distribution, and grabbing BLAS and LAPACK libraries from:

http://icl.cs.utk.edu/lapack-for-windows/libraries/VisualStudio/3.4.1/Dynamic-MINGW/Win32/

• install dll files in C:Python27DLLs
• install lib files in C:Python27libs

Installing

Using pip

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 wih the command:

sudo pip install slycot

From Source

Unpack to a directory of your choice, say /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:

cd /path/to/slycot_src/
python setup.py config_fc --arch="-march=x86-64" build
# python setup.py install

For Windows, and using Python(x,y), specify that you are using the mingw compiler. Create a file

C:Python27Libdistutilsdistutils.cfg

with as contents:

[build]
compiler=mingw32

To-Do

• write unit tests, already added test script, and simple test
• add examples in the doc-strings