Birkhoff's algorithm for doubly stochastic matrices

This package contains a Python 3 implementation of Birkhoff's algorithm for decomposing a doubly stochastic matrix into a convex combination of permutation matrices.

For more information, see the full documentation <http://birkhoff.readthedocs.org>_.

This file was last updated on January 7, 2015.

Copyright license

This package is distributed under the terms of the GNU General Public License version 3. For more information, see the file LICENSE in this directory.

Basic usage

import numpy
from birkhoff import birkhoff_von_neumann_decomposition

# Create a doubly stochastic matrix.
#
# D = numpy.array(...)

# The decomposition is given as a list of pairs in which the right element
# is a permutation matrix and the left element is the scalar coefficient
# applied to that permutation matrix in the convex combination
# representation of the doubly stochastic matrix.
result = birkhoff_von_neumann_decomposition(D)
for coefficient, permutation_matrix in result:
    print('coefficient:', coefficient)
    print('permutation matrix:', permutation_matrix)

Installation requirements

In order to install the Python libraries required to use this package:

pip install -r requirements.txt

Testing

pip install -r requirements-test.txt
nosetests

Release instructions

This is a reminder for the maintainer of this package.

python setup.py egg_info sdist upload --sign

Contact

Jeffrey Finkelstein jeffrey.finkelstein@gmail.com