CXML
SHSEIN (3lapack)
use inverse iteration to find specified right and/or left
eigenvectors of a real upper Hessenberg matrix H
SYNOPSIS
SUBROUTINE SHSEIN( SIDE, EIGSRC, INITV, SELECT, N, H, LDH, WR, WI, VL,
LDVL, VR, LDVR, MM, M, WORK, IFAILL, IFAILR, INFO )
CHARACTER EIGSRC, INITV, SIDE
INTEGER INFO, LDH, LDVL, LDVR, M, MM, N
LOGICAL SELECT( * )
INTEGER IFAILL( * ), IFAILR( * )
REAL H( LDH, * ), VL( LDVL, * ), VR( LDVR, * ), WI( * ),
WORK( * ), WR( * )
PURPOSE
SHSEIN uses inverse iteration to find specified right and/or left
eigenvectors of a real upper Hessenberg matrix H.
The right eigenvector x and the left eigenvector y of the matrix H
corresponding to an eigenvalue w are defined by:
H * x = w * x, y**h * H = w * y**h
where y**h denotes the conjugate transpose of the vector y.
ARGUMENTS
SIDE (input) CHARACTER*1
= 'R': compute right eigenvectors only;
= 'L': compute left eigenvectors only;
= 'B': compute both right and left eigenvectors.
EIGSRC (input) CHARACTER*1
Specifies the source of eigenvalues supplied in (WR,WI):
= 'Q': the eigenvalues were found using SHSEQR; thus, if H has zero
subdiagonal elements, and so is block-triangular, then the j-th
eigenvalue can be assumed to be an eigenvalue of the block
containing the j-th row/column. This property allows SHSEIN to
perform inverse iteration on just one diagonal block. = 'N': no
assumptions are made on the correspondence between eigenvalues and
diagonal blocks. In this case, SHSEIN must always perform inverse
iteration using the whole matrix H.
INITV (input) CHARACTER*1
= 'N': no initial vectors are supplied;
= 'U': user-supplied initial vectors are stored in the arrays VL
and/or VR.
SELECT (input/output) LOGICAL array, dimension (N)
Specifies the eigenvectors to be computed. To select the real
eigenvector corresponding to a real eigenvalue WR(j), SELECT(j)
must be set to .TRUE.. To select the complex eigenvector
corresponding to a complex eigenvalue (WR(j),WI(j)), with complex
conjugate (WR(j+1),WI(j+1)), either SELECT(j) or SELECT(j+1) or
both must be set to
N (input) INTEGER
The order of the matrix H. N >= 0.
H (input) REAL array, dimension (LDH,N)
The upper Hessenberg matrix H.
LDH (input) INTEGER
The leading dimension of the array H. LDH >= max(1,N).
WR (input/output) REAL array, dimension (N)
WI (input) REAL array, dimension (N) On entry, the real and
imaginary parts of the eigenvalues of H; a complex conjugate pair
of eigenvalues must be stored in consecutive elements of WR and WI.
On exit, WR may have been altered since close eigenvalues are
perturbed slightly in searching for independent eigenvectors.
VL (input/output) REAL array, dimension (LDVL,MM)
On entry, if INITV = 'U' and SIDE = 'L' or 'B', VL must contain
starting vectors for the inverse iteration for the left
eigenvectors; the starting vector for each eigenvector must be in
the same column(s) in which the eigenvector will be stored. On
exit, if SIDE = 'L' or 'B', the left eigenvectors specified by
SELECT will be stored consecutively in the columns of VL, in the
same order as their eigenvalues. A complex eigenvector
corresponding to a complex eigenvalue is stored in two consecutive
columns, the first holding the real part and the second the
imaginary part. If SIDE = 'R', VL is not referenced.
LDVL (input) INTEGER
The leading dimension of the array VL. LDVL >= max(1,N) if SIDE =
'L' or 'B'; LDVL >= 1 otherwise.
VR (input/output) REAL array, dimension (LDVR,MM)
On entry, if INITV = 'U' and SIDE = 'R' or 'B', VR must contain
starting vectors for the inverse iteration for the right
eigenvectors; the starting vector for each eigenvector must be in
the same column(s) in which the eigenvector will be stored. On
exit, if SIDE = 'R' or 'B', the right eigenvectors specified by
SELECT will be stored consecutively in the columns of VR, in the
same order as their eigenvalues. A complex eigenvector
corresponding to a complex eigenvalue is stored in two consecutive
columns, the first holding the real part and the second the
imaginary part. If SIDE = 'L', VR is not referenced.
LDVR (input) INTEGER
The leading dimension of the array VR. LDVR >= max(1,N) if SIDE =
'R' or 'B'; LDVR >= 1 otherwise.
MM (input) INTEGER
The number of columns in the arrays VL and/or VR. MM >= M.
M (output) INTEGER
The number of columns in the arrays VL and/or VR required to store
the eigenvectors; each selected real eigenvector occupies one
column and each selected complex eigenvector occupies two columns.
WORK (workspace) REAL array, dimension ((N+2)*N)
IFAILL (output) INTEGER array, dimension (MM)
If SIDE = 'L' or 'B', IFAILL(i) = j > 0 if the left eigenvector in
the i-th column of VL (corresponding to the eigenvalue w(j)) failed
to converge; IFAILL(i) = 0 if the eigenvector converged
satisfactorily. If the i-th and (i+1)th columns of VL hold a
complex eigenvector, then IFAILL(i) and IFAILL(i+1) are set to the
same value. If SIDE = 'R', IFAILL is not referenced.
IFAILR (output) INTEGER array, dimension (MM)
If SIDE = 'R' or 'B', IFAILR(i) = j > 0 if the right eigenvector in
the i-th column of VR (corresponding to the eigenvalue w(j)) failed
to converge; IFAILR(i) = 0 if the eigenvector converged
satisfactorily. If the i-th and (i+1)th columns of VR hold a
complex eigenvector, then IFAILR(i) and IFAILR(i+1) are set to the
same value. If SIDE = 'L', IFAILR is not referenced.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, i is the number of eigenvectors which failed to
converge; see IFAILL and IFAILR for further details.
FURTHER DETAILS
Each eigenvector is normalized so that the element of largest magnitude has
magnitude 1; here the magnitude of a complex number (x,y) is taken to be
|x|+|y|.
CXML Home Page Index of CXML Routines