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PrObabilistic MAtrix DEcompositions from Halko et al., 2011

Project description

skpomade: PrObabilistic MAtrix DEcompositions from Halko et al., 2011

Python implementation of algorithms from paper Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions, by N. Halko, P. G. Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011.


Install the current release with pip:

pip install skpomade

For additional details, see doc/install.rst.


See the documentation.


Please report any bugs that you find through the skpomade GitLab project.

You can also fork the repository and create a merge request.

Source code

The source code of skpomade is available via its GitLab project.

You can clone the git repository of the project using the command:

git clone



Released under the GNU General Public License version 3 or later (see LICENSE.txt).

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