eigensort: Spectral Decomposition of a Symmetric Matrix
In gasper: Graph Signal Processing
eigensort R Documentation
Spectral Decomposition of a Symmetric Matrix
Description
eigensort performs the spectral decomposition of a symmetric matrix. The eigenvalues and eigenvectors are sorted in increasing order by eigenvalues.
Usage
eigensort(M)
Arguments
M
Symmetric matrix, either sparse or dense, to be decomposed.
Value
A list containing:
-
evalues: A vector of sorted eigenvalues in increasing order.
-
evectors: A matrix of corresponding eigenvectors.
Examples
A <- matrix(1, ncol=2, nrow=2)
dec <- eigensort(A)
gasper documentation built on May 29, 2024, 8:32 a.m.
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| eigensort | R Documentation |
Spectral Decomposition of a Symmetric Matrix
Description
eigensort performs the spectral decomposition of a symmetric matrix. The eigenvalues and eigenvectors are sorted in increasing order by eigenvalues.
Usage
eigensort(M)
Arguments
M |
Symmetric matrix, either sparse or dense, to be decomposed. |
Value
A list containing:
-
evalues: A vector of sorted eigenvalues in increasing order. -
evectors: A matrix of corresponding eigenvectors.
Examples
A <- matrix(1, ncol=2, nrow=2)
dec <- eigensort(A)
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.
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