eigensort

Computes eigenvalues and eigenvectors of matrices
(output sorted in increasing order).

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>x</dt>
<dd>Symetric matrix (sparse or dense) whose spectral decomposition is to be computed.</dd></dl>

Arguments

Spectral decomposition of a symetric matrix. — eigensort

<dl>

<dt>x</dt>
<dd>Symetric matrix (sparse or dense) whose spectral decomposition is to be computed.</dd>

</dl>

eigensort: Spectral decomposition of a symetric matrix.

Description

Usage

Arguments

Examples