Metadata-Version: 1.1
Name: IntertwiningWavelet
Version: 0.0.10
Summary: IntertwiningWavelet : Pyramidal algorithms for wavelet decomposition on Graphs
Home-page: UNKNOWN
Author: Labex Archimede AMU
Author-email: dominique.benielli@univ-amu.fr
License: new BSD
Description: This package, as well as the **IntertwiningWavelet**,  ``iw`` toolbox, is Free software, released under BSD License.
        
        Documentation is available  on the public site at `intertwiningwavelet doc <http://archimede.pages.math.cnrs.fr/intertwiningwavelet>`_.
        
        The latest version of **IntertwiningWavelet**,  is available on the `gitlab repository <https://plmlab.math.cnrs.fr/archimede/intertwiningwavelet>`_ , which provides the git repository managing the source code and where issues can be reported.
        
        The **IntertwiningWavelet** package is a  Python Package for wavelet analysis on graphs.
        This toolbox is dedicated to a method called IntertwiningWavelet (IW) which provides a multiresolution analysis on non oriented graphs. It provides a wavelet basis on a graph and can analyse a banch of signals defined on this graph. 
        
        The method is fully described and analysed in `Intertwining wavelets or Multiresolution analysis on graphs through random forests. <https://www.sciencedirect.com/science/article/abs/pii/S1063520318300940>`_, `Approximate and exact solutions of intertwining equations through random spanning forests. <https://arxiv.org/abs/1702.05992>`_ and a quicker description can be found in `Random forests and Network analysis. <https://link.springer.com/article/10.1007/s10955-018-2124-8>`_. The approach relies on probabilistic tools: a random spanning forest to downsample the set of vertices, and approximate solutions of Markov intertwining relation  to provide a subgraph structure and a filterbank which is a basis of the set of functions. As a by-product, the method provides a graph coarse-graining procedure.
        
        The original ``iw`` Toolbox is developed in Python/Cython at `LabEx Archimède <http://labex-archimede.univ-amu.fr/>`_ , as a `I2M <http://www.i2m.univ-amu.fr//>`_ project.
        
        
        History
        =======
        
        0.0.0 (2018-02-15)
        ------------------
        First version
        
        0.0.1 (2019-03-21)
        ------------------
        -Fix bug inversion matrice lead to negatives values in the case of very small laplacian.
        Computation of Laplacian and Schur complement performs with interative method.
        
        -Fix Bug for decimation /nR
        
        -Fix bug for alpha == 0
        
        -multi signals extented
        
        0.0.6 (2019-09-13)
        ------------------
        
        Fix pypi deposit
        
        
        
        People
        ------
        
        
          * Clothilde Melot
        
          * Alexandre Gaudilliere
        
          * Fabienne Castell 
        
          * Dominique Benielli
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
