chsein.f (3) Linux Manual Page
chsein.f –
Synopsis
Functions/Subroutines
subroutine chsein (SIDE, EIGSRC, INITV, SELECT, N, H, LDH, W, VL, LDVL, VR, LDVR, MM, M, WORK, RWORK, IFAILL, IFAILR, INFO)CHSEIN
Function/Subroutine Documentation
subroutine chsein (characterSIDE, characterEIGSRC, characterINITV, logical, dimension( * )SELECT, integerN, complex, dimension( ldh, * )H, integerLDH, complex, dimension( * )W, complex, dimension( ldvl, * )VL, integerLDVL, complex, dimension( ldvr, * )VR, integerLDVR, integerMM, integerM, complex, dimension( * )WORK, real, dimension( * )RWORK, integer, dimension( * )IFAILL, integer, dimension( * )IFAILR, integerINFO)
CHSEIN Purpose:
CHSEIN uses inverse iteration to find specified right and/or left
eigenvectors of a complex 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.
Parameters:
- SIDE
SIDE is CHARACTER*1
EIGSRC
= ‘R’: compute right eigenvectors only;
= ‘L’: compute left eigenvectors only;
= ‘B’: compute both right and left eigenvectors.EIGSRC is CHARACTER*1
INITV
Specifies the source of eigenvalues supplied in W:
= ‘Q’: the eigenvalues were found using CHSEQR; 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 CHSEIN 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, CHSEIN must always perform inverse iteration
using the whole matrix H.INITV is CHARACTER*1
SELECT
= ‘N’: no initial vectors are supplied;
= ‘U’: user-supplied initial vectors are stored in the arrays
VL and/or VR.SELECT is LOGICAL array, dimension (N)
N
Specifies the eigenvectors to be computed. To select the
eigenvector corresponding to the eigenvalue W(j),
SELECT(j) must be set to .TRUE..N is INTEGER
H
The order of the matrix H. N >= 0.H is COMPLEX array, dimension (LDH,N)
LDH
The upper Hessenberg matrix H.LDH is INTEGER
W
The leading dimension of the array H. LDH >= max(1,N).W is COMPLEX array, dimension (N)
VL
On entry, the eigenvalues of H.
On exit, the real parts of W may have been altered since
close eigenvalues are perturbed slightly in searching for
independent eigenvectors.VL is COMPLEX array, dimension (LDVL,MM)
LDVL
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 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.
If SIDE = ‘R’, VL is not referenced.LDVL is INTEGER
VR
The leading dimension of the array VL.
LDVL >= max(1,N) if SIDE = ‘L’ or ‘B’; LDVL >= 1 otherwise.VR is COMPLEX array, dimension (LDVR,MM)
LDVR
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 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.
If SIDE = ‘L’, VR is not referenced.LDVR is INTEGER
MM
The leading dimension of the array VR.
LDVR >= max(1,N) if SIDE = ‘R’ or ‘B’; LDVR >= 1 otherwise.MM is INTEGER
M
The number of columns in the arrays VL and/or VR. MM >= M.M is INTEGER
WORK
The number of columns in the arrays VL and/or VR required to
store the eigenvectors (= the number of .TRUE. elements in
SELECT).WORK is COMPLEX array, dimension (N*N)
RWORKRWORK is REAL array, dimension (N)
IFAILLIFAILL is INTEGER array, dimension (MM)
IFAILR
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 SIDE = ‘R’, IFAILL is not referenced.IFAILR is INTEGER array, dimension (MM)
INFO
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 SIDE = ‘L’, IFAILR is not referenced.INFO is 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.
Author:
- Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
- November 2011
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|.
Definition at line 243 of file chsein.f.
