context("arpack")
test_that("arpack works for identity matrix", {
library(igraph)
f <- function(x, extra=NULL) x
res <- arpack(f, options=list(n=10, nev=2, ncv=4), sym=TRUE)
expect_that(res$values, equals(c(1,1)))
})
test_that("arpack works on the Laplacian of a star", {
library(igraph)
f <- function(x, extra=NULL) {
y <- x
y[1] <- (length(x)-1)*x[1] - sum(x[-1])
for (i in 2:length(x)) {
y[i] <- x[i] - x[1]
}
y
}
r1 <- arpack(f, options=list(n=10, nev=1, ncv=3), sym=TRUE)
r2 <- eigen(laplacian_matrix(make_star(10, mode="undirected")))
correctSign <- function(x) { if (x[1]<0) { -x } else { x } }
expect_that(r1$values, equals(r2$values[1]))
expect_that(correctSign(r1$vectors), equals(correctSign(r2$vectors[,1])))
})
####
# Complex case
test_that("arpack works for non-symmetric matrices", {
library(igraph)
A <- structure(c(-6, -6, 7, 6, 1, -9, -3, 2, -9, -7, 0, 1, -7, 8,
-7, 10, 0, 0, 1, 1, 10, 0, 8, -4, -4, -5, 8, 9, -6, 9, 3, 8,
6, -1, 9, -9, -6, -3, -1, -7, 8, -4, -4, 10, 0, 5, -2, 0, 7,
10, 1, 4, -8, 3, 5, 3, -7, -9, 10, -1, -4, -7, -1, 7, 5, -5,
1, -4, 9, -2, 10, 1, -7, 7, 6, 7, -3, 0, 9, -5, -8, 1, -3,
-3, -8, -7, -8, 10, 8, 7, 0, 6, -7, -8, 10, 10, 1, 0, -2, 6),
.Dim = c(10L, 10L))
f <- function(x, extra=NULL) A %*% x
res <- arpack(f, options=list(n=10, nev=3, ncv=7, which="LM"), sym=FALSE)
## This is needed because they might return a different complex conjugate
expect_that(abs(res$values/eigen(A)$values[1:3]), equals(c(1,1,1)))
expect_that((res$values[1] * res$vectors[,1]) / (A %*% res$vectors[,1]),
equals(cbind(rep(1+0i, nrow(A)))))
expect_that((res$values[2] * res$vectors[,2]) / (A %*% res$vectors[,2]),
equals(cbind(rep(1+0i, nrow(A)))))
expect_that(abs((res$values[3] * res$vectors[,3]) / (A %*% res$vectors[,3])),
equals(cbind(rep(1, nrow(A)))))
f <- function(x, extra=NULL) A %*% x
res <- arpack(f, options=list(n=10, nev=4, ncv=9, which="LM"), sym=FALSE)
## This is needed because they might return a different complex conjugate
expect_that(abs(res$values/eigen(A)$values[1:4]), equals(rep(1, 4)))
expect_that((res$values[1] * res$vectors[,1]) / (A %*% res$vectors[,1]),
equals(cbind(rep(1+0i, nrow(A)))))
expect_that((res$values[2] * res$vectors[,2]) / (A %*% res$vectors[,2]),
equals(cbind(rep(1+0i, nrow(A)))))
expect_that(abs((res$values[3] * res$vectors[,3]) / (A %*% res$vectors[,3])),
equals(cbind(rep(1, nrow(A)))))
expect_that(abs((res$values[4] * res$vectors[,4]) / (A %*% res$vectors[,4])),
equals(cbind(rep(1, nrow(A)))))
})
####
# TODO: further tests for typically hard cases
Generated by dwww version 1.15 on Sun Jun 16 12:12:39 CEST 2024.