eigensort

<code>eigensort</code> performs the spectral decomposition of a symmetric matrix. The eigenvalues and eigenvectors are sorted in increasing order by eigenvalues.

Provides the standard operations for signal processing on graphs:
graph Fourier transform, spectral graph wavelet transform,
visualization tools. It also implements a data driven method
for graph signal denoising/regression, for details see
De Loynes, Navarro, Olivier (2019) <arxiv:1906.01882>.
The package also provides an interface to the SuiteSparse Matrix Collection,
<https://sparse.tamu.edu/>, a large and widely used set of sparse matrix
benchmarks collected from a wide range of applications.

Fabien Navarro

gasper

Graph Signal Processing

Basile de Loynes

Baptiste Olivier

eigensort function

<dl><dt>M</dt>
<dd>Symmetric matrix, either sparse or dense, to be decomposed.</dd></dl>

Arguments

Spectral Decomposition of a Symmetric Matrix — eigensort

<dl>

<dt>M</dt>
<dd>Symmetric matrix, either sparse or dense, to be decomposed.</dd>

</dl>

eigensort: Spectral Decomposition of a Symmetric Matrix

Description

Usage

Value

Arguments

Examples