Welcome to Hierarchical Matrices’s documentation!¶
Indices and tables¶
Documentation¶
Author: | Markus Neumann |
---|---|
Date: | Sep 19, 2017 |
Supervisor: | Prof. Dr. Stefan Sauter |
This package is the result of my master thesis at the Institute of Mathematics, University of Zurich.
It provides an interface in python to the concept of hierarchical matrices as described by [Hac15].
The main goal is to provide an easy to use yet performing alternative to existing implementations in C
- Hosted on GitHub: GitHub
- Available on PyPi: PyPi
- Documentation: ReadTheDocs
- Continuous Integration: Travis CI
- Code Coverage: Coveralls
- Code Quality: SonarQube
Installation¶
The package is available on different platforms, so there are different ways to install:
The easiest would be using
pip
:pip install [--user -U] HierMat
Another way is to download the source package e.g. from GitHub and install from there:
wget https://github.com/maekke97/HierarchicalMatrices/archive/master.zip unzip master.zip cd HierarchicalMatrices-master python setup.py install
Links and references¶
Links
Institute of Mathematics, University of Zurich
References
Todo
Add thesis to bib
[Eve66] | H.W. Eves. Elementary Matrix Theory. Dover Books on Mathematics Series. Dover, 1966. ISBN 9780486639468. URL: https://books.google.ch/books?id=ayVxeUNbZRAC. |
[Hac15] | W. Hackbusch. Hierarchical Matrices: Algorithms and Analysis. Springer Series in Computational Mathematics. Springer Berlin Heidelberg, 2015. ISBN 9783662473245. URL: https://books.google.ch/books?id=LlNECwAAQBAJ. |