utils_rescale_laplacian: Rescale a Laplacian
In rdinnager/rspektral: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Description
\loadmathjax
Rescales the Laplacian eigenvalues in -1,1, using lmax as largest eigenvalue.
Usage
1
utils_rescale_laplacian(L, lmax = NULL)
Arguments
L
rank 2 array or sparse matrix
lmax
if NULL, compute largest eigenvalue with scipy.linalg.eisgh.
If the eigendecomposition fails, lmax is set to 2 automatically.
If scalar, use this value as largest eignevalue when rescaling.
Value
the rescaled Laplacian
rdinnager/rspektral documentation built on June 12, 2021, 1:26 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
\loadmathjaxRescales the Laplacian eigenvalues in -1,1, using lmax as largest eigenvalue.
Usage
1 | utils_rescale_laplacian(L, lmax = NULL)
|
Arguments
L |
rank 2 array or sparse matrix |
lmax |
if NULL, compute largest eigenvalue with scipy.linalg.eisgh. If the eigendecomposition fails, lmax is set to 2 automatically. If scalar, use this value as largest eignevalue when rescaling. |
Value
the rescaled Laplacian
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.