shseqr(3)

NAME

SHSEQR - compute the eigenvalues of a real upper Hessen
berg matrix H and, optionally, the matrices T and Z from the
Schur decomposition H = Z T Z**T, where T is an upper quasi-tri
angular matrix (the Schur form), and Z is the orthogonal matrix
of Schur vectors

SYNOPSIS

SUBROUTINE SHSEQR( JOB, COMPZ, N, ILO, IHI,  H,  LDH,  WR,
WI, Z, LDZ, WORK, LWORK, INFO )
    CHARACTER      COMPZ, JOB
    INTEGER        IHI, ILO, INFO, LDH, LDZ, LWORK, N
    REAL            H( LDH, * ), WI( * ), WORK( * ), WR( *
), Z( LDZ, * )

PURPOSE

SHSEQR computes the eigenvalues of a real upper Hessenberg
matrix H and, optionally, the matrices T and Z from the Schur de
composition H = Z T Z**T, where T is an upper quasi-triangular
matrix (the Schur form), and Z is the orthogonal matrix of Schur
vectors. Optionally Z may be postmultiplied into an input or
thogonal matrix Q, so that this routine can give the Schur fac
torization of a matrix A which has been reduced to the Hessenberg
form H by the orthogonal matrix Q: A = Q*H*Q**T =
(QZ)*T*(QZ)**T.

ARGUMENTS

JOB (input) CHARACTER*1
= 'E': compute eigenvalues only;
= 'S': compute eigenvalues and the Schur form T.
COMPZ (input) CHARACTER*1
= 'N': no Schur vectors are computed;
= 'I': Z is initialized to the unit matrix and
the matrix Z of Schur vectors of H is returned; = 'V': Z must
contain an orthogonal matrix Q on entry, and the product Q*Z is
returned.
N (input) INTEGER
The order of the matrix H. N >= 0.
ILO (input) INTEGER
IHI (input) INTEGER It is assumed that H is
already upper triangular in rows and columns 1:ILO-1 and IHI+1:N.
ILO and IHI are normally set by a previous call to SGEBAL, and
then passed to SGEHRD when the matrix output by SGEBAL is reduced
to Hessenberg form. Otherwise ILO and IHI should be set to 1 and
N respectively. 1 <= ILO <= IHI <= N, if N > 0; ILO=1 and IHI=0,
if N=0.
H (input/output) REAL array, dimension (LDH,N)
On entry, the upper Hessenberg matrix H. On exit,
if JOB = 'S', H contains the upper quasi-triangular matrix T from
the Schur decomposition (the Schur form); 2-by-2 diagonal blocks
(corresponding to complex conjugate pairs of eigenvalues) are re
turned in standard form, with H(i,i) = H(i+1,i+1) and
H(i+1,i)*H(i,i+1) < 0. If JOB = 'E', the contents of H are un
specified on exit.
LDH (input) INTEGER
The leading dimension of the array H. LDH >=
max(1,N).
WR (output) REAL array, dimension (N)
WI (output) REAL array, dimension (N) The re
al and imaginary parts, respectively, of the computed eigenval
ues. If two eigenvalues are computed as a complex conjugate pair,
they are stored in consecutive elements of WR and WI, say the i
th and (i+1)th, with WI(i) > 0 and WI(i+1) < 0. If JOB = 'S', the
eigenvalues are stored in the same order as on the diagonal of
the Schur form returned in H, with WR(i) = H(i,i) and, if
H(i:i+1,i:i+1) is a 2-by-2 diagonal block, WI(i) =
sqrt(H(i+1,i)*H(i,i+1)) and WI(i+1) = -WI(i).
Z (input/output) REAL array, dimension (LDZ,N)
If COMPZ = 'N': Z is not referenced.
If COMPZ = 'I': on entry, Z need not be set, and
on exit, Z contains the orthogonal matrix Z of the Schur vectors
of H. If COMPZ = 'V': on entry Z must contain an N-by-N matrix
Q, which is assumed to be equal to the unit matrix except for the
submatrix Z(ILO:IHI,ILO:IHI); on exit Z contains Q*Z. Normally Q
is the orthogonal matrix generated by SORGHR after the call to
SGEHRD which formed the Hessenberg matrix H.
LDZ (input) INTEGER
The leading dimension of the array Z. LDZ >=
max(1,N) if COMPZ = 'I' or 'V'; LDZ >= 1 otherwise.
WORK (workspace/output) REAL array, dimension (LWORK)
On exit, if INFO = 0, WORK(1) returns the optimal
LWORK.
LWORK (input) INTEGER
The dimension of the array WORK. LWORK >=
max(1,N).
If LWORK = -1, then a workspace query is assumed;
the routine only calculates the optimal size of the WORK array,
returns this value as the first entry of the WORK array, and no
error message related to LWORK is issued by XERBLA.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an ille
gal value
> 0: if INFO = i, SHSEQR failed to compute all of
the eigenvalues in a total of 30*(IHI-ILO+1) iterations; elements
1:ilo-1 and i+1:n of WR and WI contain those eigenvalues which
have been successfully computed.
LAPACK version 3.0 15 June 2000
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