FastDecompositionLap: Fast eigendecomposition of Laplacian matrix

In BioGSP: Biological Graph Signal Processing for Spatial Data Analysis

Fast eigendecomposition of Laplacian matrix

Description

Perform fast eigendecomposition using RSpectra for large matrices

Usage

FastDecompositionLap(
  laplacianMat = NULL,
  k_eigen = 25,
  which = "LM",
  sigma = NULL,
  opts = list(),
  lower = TRUE,
  ...
)

Arguments

laplacianMat	Laplacian matrix
k_eigen	Number of eigenvalues to compute (default: 25)
which	Which eigenvalues to compute ("LM", "SM", etc.)
sigma	Shift parameter for eigenvalue computation
opts	Additional options for eigenvalue computation
lower	Whether to compute from lower end of spectrum
...	Additional arguments

Value

List with eigenvalues (evalues) and eigenvectors (evectors)

Examples

# Create a Laplacian matrix and decompose
L <- matrix(c(2, -1, -1, -1, 2, -1, -1, -1, 2), nrow = 3)
decomp <- FastDecompositionLap(L, k_eigen = 2)

BioGSP documentation built on Feb. 2, 2026, 5:06 p.m.