Program f08yffe
! F08YFF Example Program Text
! Mark 28.4 Release. NAG Copyright 2022.
! .. Use Statements ..
Use nag_library, Only: dtgexc, nag_wp, x04caf
! .. Implicit None Statement ..
Implicit None
! .. Parameters ..
Integer, Parameter :: nin = 5, nout = 6
Logical, Parameter :: wantq = .False., wantz = .False.
! .. Local Scalars ..
Integer :: i, ifail, ifst, ilst, info, lda, &
ldb, ldq, ldz, lwork, n
! .. Local Arrays ..
Real (Kind=nag_wp), Allocatable :: a(:,:), b(:,:), q(:,:), work(:), &
z(:,:)
! .. Executable Statements ..
Write (nout,*) 'F08YFF Example Program Results'
Write (nout,*)
Flush (nout)
! Skip heading in data file
Read (nin,*)
Read (nin,*) n
ldq = 1
ldz = 1
lda = n
ldb = n
lwork = 4*n + 16
Allocate (a(lda,n),b(ldb,n),q(ldq,1),work(lwork),z(ldz,1))
! Read A and B from data file
Read (nin,*)(a(i,1:n),i=1,n)
Read (nin,*)(b(i,1:n),i=1,n)
! Read the row indices
Read (nin,*) ifst, ilst
! Reorder A and B
! The NAG name equivalent of dtgexc is f08yff
Call dtgexc(wantq,wantz,n,a,lda,b,ldb,q,ldq,z,ldz,ifst,ilst,work,lwork, &
info)
If (info/=0) Then
Write (nout,99999) info, ilst
Write (nout,*)
Flush (nout)
End If
! The resulting reordered Schur matrices can differ by +- signs by
! multiplying rows and columns of Q and Z by -1. We will normalize here by
! making the diagonals and last column of B positive.
Call normalize(a,b)
! Print reordered generalized Schur form
! ifail: behaviour on error exit
! =0 for hard exit, =1 for quiet-soft, =-1 for noisy-soft
ifail = 0
Call x04caf('General',' ',n,n,a,lda,'Reordered Schur matrix A',ifail)
Write (nout,*)
Flush (nout)
ifail = 0
Call x04caf('General',' ',n,n,b,ldb,'Reordered Schur matrix B',ifail)
99999 Format (' Reordering could not be completed. INFO = ',I3,' ILST = ',I5)
Contains
Subroutine normalize(a,b)
! .. Array Arguments ..
Real (Kind=nag_wp), Intent (Inout) :: a(lda,n), b(ldb,n)
! .. Local Scalars ..
Integer :: i, j
! .. Intrinsic Procedures ..
Intrinsic :: max
! .. Executable Statements ..
! Last column of B positive
Do i = 1, n
j = max(1,i-1)
If (b(i,n)<0.0_nag_wp) Then
a(i,j:n) = -a(i,j:n)
b(i,i:n) = -b(i,i:n)
End If
End Do
! Diagonals of B positive
Do i = 1, n - 1
If (b(i,i)<0.0_nag_wp) Then
a(1:i+1,i) = -a(1:i+1,i)
b(1:i,i) = -b(1:i,i)
End If
End Do
End Subroutine normalize
End Program f08yffe