Adj2Lap: Compute graph Laplacian matrix from graph adjacency matrix

In mdpeer: Graph-Constrained Regression with Enhanced Regularization Parameters Selection

Description

Compute graph Laplacian matrix from graph adjacency matrix

Usage

Adj2Lap(adj)

Arguments

adj	graph adjacency matrix (squared symmetric matrix)

Value

graph Laplacian matrix

Examples

# Define exemplary adjacency matrix
p1 <- 10
p2 <- 40
p <- p1 + p2
A <- matrix(rep(0, p * p), p, p)
A[1:p1, 1:p1] <- 1
A[(p1 + 1):p, (p1 + 1):p] <- 1
vizu.mat(A, "adjacency matrix")

# Compute corresponding Laplacian matrix
L <- Adj2Lap(A)
vizu.mat(L, "Laplacian matrix")

mdpeer documentation built on May 2, 2019, 3:36 p.m.