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#### Matrix Factorizations  --- of all kinds

library(Matrix)

source(system.file("test-tools.R", package = "Matrix"))# identical3() etc


### "sparseQR" : Check consistency of methods
##   --------
data(KNex); mm <- KNex$mm; y <- KNex$y
stopifnot(is((Y <- Matrix(y)), "dgeMatrix"))
md <- as(mm, "matrix")                  # dense

system.time(mmq <- qr(mm))
system.time(mdq <- qr(md))# much (~ 150 x) slower

## qr.qy and qr.qty should be inverses
stopifnot(all.equal(qr.qy (mmq, qr.qty(mmq, y))@x, y),
          all.equal(qr.qty(mmq, qr.qy (mmq, y))@x, y),
          all.equal(qr.qty(mmq, y), qr.qty(mmq, Y)) )

## consistency of results dense and sparse
stopifnot(is.all.equal3(qr.coef  (mdq, y), qr.coef  (mmq,y)@x, qr.coef  (mmq,Y)@x) ,
          is.all.equal3(qr.resid (mdq, y), qr.resid (mmq,y)@x, qr.resid (mmq,Y)@x) ,
          is.all.equal3(qr.fitted(mdq, y), qr.fitted(mmq,y)@x, qr.fitted(mmq,Y)@x) )


### "denseLU"

## Testing expansions of factorizations {was ./expand.R, then in simple.R }

set.seed(1)
(m1 <- round(Matrix(rnorm(25), 5), 2))
str(lu1 <- lu(m1))
(luX <- expand(lu1))
stopifnot(all.equal(as(m1, "matrix"),
                    as(luX$P %*% (luX$L %*% luX$U), "matrix")))

### "sparseLU"
por1 <- readMM(system.file("external/pores_1.mtx", package = "Matrix"))
lu1 <- lu(por1)
pm <- as(por1, "CsparseMatrix")
(pmLU <- lu(pm)) # -> show(<MatrixFactorization>)
## identical only as long as we don't keep the original class info:
stopifnot(identical(lu1, pmLU))

## permute rows and columns of original matrix
ppm <- pm[pmLU@p + 1:1, pmLU@q + 1:1]
Ppm <- pmLU@L %*% pmLU@U
## these two should be the same, and `are' in some ways:
assert.EQ.mat(ppm, as(Ppm, "matrix"), tol = 1e-14)
## *however*
length(ppm@x)# 180
length(Ppm@x)# 317 !
table(Ppm@x == 0)# (194, 123) - has 123 "zero" and 14 ``almost zero" entries

## FIXME:  expand(pmLU)

## Cholesky()
data(KNex)
mtm <- with(KNex, crossprod(mm))
c1 <- Cholesky(mtm)
c2 <- Cholesky(mtm, super = TRUE)
bv <- 1:nrow(mtm) # even integer
b <- matrix(bv)
## solve(c2, b) by default solves  Ax = b, where A = c2'c2 !
x <- solve(c2,b)
stopifnot(identical3(x, solve(c2, bv), solve(c2, b, system = "A")),
          all.equal(x, solve(mtm, b)))
for(sys in c("A", "LDLt", "LD", "DLt", "L", "Lt", "D", "P", "Pt")) {
    x <- solve(c2, b,  system = sys)
    cat(sys,":\n"); print(head(x))
    stopifnot(dim(x) == c(712, 1),
              identical(x, solve(c2, bv, system = sys)))
}

## Schur() ----------------------
checkSchur <- function(A, SchurA = Schur(A), tol = 1e-14) {
    stopifnot(is(SchurA, "Schur"),
              isOrthogonal(Q <- SchurA@Q),
              all.equal(as.mat(A),
                        as.mat(Q %*% SchurA@T %*% t(Q)), tol = tol))
}

SH <- Schur(H5 <- Hilbert(5))
checkSchur(H5, SH)
checkSchur(Diagonal(x = 9:3))

p <- 4L
uTp <- new("dtpMatrix", x=c(2, 3, -1, 4:6, -2:1), Dim = c(p,p))
(uT <- as(uTp, "dtrMatrix"))
## Schur ( <general> )  <--> Schur( <triangular> )
Su <- Schur(uT) ;   checkSchur(uT, Su)
gT <- as(uT,"generalMatrix")
Sg <- Schur(gT) ;   checkSchur(gT, Sg)
Stg <- Schur(t(gT));checkSchur(t(gT), Stg)
Stu <- Schur(t(uT));checkSchur(t(uT), Stu)

stopifnot(identical3(Sg@T, uT, Su@T),
          identical(Sg@Q, as(diag(p), "dgeMatrix")),
          identical(Stg@T, as(t(gT[,p:1])[,p:1], "triangularMatrix")),
          identical(Stg@Q, as(diag(p)[,p:1], "dgeMatrix")),
          identical(Stu@T, Stg@T))
assert.EQ.mat(Stu@Q, as(Stg@Q,"matrix"), tol=0)