dhsein (l)  Linux Manuals
dhsein: uses inverse iteration to find specified right and/or left eigenvectors of a real upper Hessenberg matrix H
NAME
DHSEIN  uses inverse iteration to find specified right and/or left eigenvectors of a real upper Hessenberg matrix HSYNOPSIS
 SUBROUTINE DHSEIN(
 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( * )
 DOUBLE PRECISION H( LDH, * ), VL( LDVL, * ), VR( LDVR, * ), WI( * ), WORK( * ), WR( * )
PURPOSE
DHSEIN 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:where y**h denotes the conjugate transpose of the vector y.
ARGUMENTS
 SIDE (input) CHARACTER*1

= aqRaq: compute right eigenvectors only;
= aqLaq: compute left eigenvectors only;
= aqBaq: compute both right and left eigenvectors.  EIGSRC (input) CHARACTER*1

Specifies the source of eigenvalues supplied in (WR,WI):
= aqQaq: the eigenvalues were found using DHSEQR; thus, if H has zero subdiagonal elements, and so is blocktriangular, then the jth eigenvalue can be assumed to be an eigenvalue of the block containing the jth row/column. This property allows DHSEIN to perform inverse iteration on just one diagonal block. = aqNaq: no assumptions are made on the correspondence between eigenvalues and diagonal blocks. In this case, DHSEIN must always perform inverse iteration using the whole matrix H.  INITV (input) CHARACTER*1

= aqNaq: no initial vectors are supplied;
= aqUaq: usersupplied 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 .TRUE.; then on exit SELECT(j) is .TRUE. and SELECT(j+1) is .FALSE..
 N (input) INTEGER
 The order of the matrix H. N >= 0.
 H (input) DOUBLE PRECISION 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) DOUBLE PRECISION array, dimension (N)
 WI (input) DOUBLE PRECISION 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) DOUBLE PRECISION array, dimension (LDVL,MM)
 On entry, if INITV = aqUaq and SIDE = aqLaq or aqBaq, 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 = aqLaq or aqBaq, 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 = aqRaq, VL is not referenced.
 LDVL (input) INTEGER
 The leading dimension of the array VL. LDVL >= max(1,N) if SIDE = aqLaq or aqBaq; LDVL >= 1 otherwise.
 VR (input/output) DOUBLE PRECISION array, dimension (LDVR,MM)
 On entry, if INITV = aqUaq and SIDE = aqRaq or aqBaq, 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 = aqRaq or aqBaq, 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 = aqLaq, VR is not referenced.
 LDVR (input) INTEGER
 The leading dimension of the array VR. LDVR >= max(1,N) if SIDE = aqRaq or aqBaq; 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) DOUBLE PRECISION array, dimension ((N+2)*N)
 IFAILL (output) INTEGER array, dimension (MM)
 If SIDE = aqLaq or aqBaq, IFAILL(i) = j > 0 if the left eigenvector in the ith column of VL (corresponding to the eigenvalue w(j)) failed to converge; IFAILL(i) = 0 if the eigenvector converged satisfactorily. If the ith 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 = aqRaq, IFAILL is not referenced.
 IFAILR (output) INTEGER array, dimension (MM)
 If SIDE = aqRaq or aqBaq, IFAILR(i) = j > 0 if the right eigenvector in the ith column of VR (corresponding to the eigenvalue w(j)) failed to converge; IFAILR(i) = 0 if the eigenvector converged satisfactorily. If the ith 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 = aqLaq, IFAILR is not referenced.
 INFO (output) INTEGER

= 0: successful exit
< 0: if INFO = i, the ith 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.