CXML
DHGEQZ (3lapack)
implement a single-/double-shift version of the QZ method for
finding the generalized eigenvalues w(j)=(ALPHAR(j) +
i*ALPHAI(j))/BETAR(j) of the equation det( A (3lapack)w(i) B ) = 0 In addition,
the pair A,B may be reduced to generalized Schur form
SYNOPSIS
SUBROUTINE DHGEQZ( JOB, COMPQ, COMPZ, N, ILO, IHI, A, LDA, B, LDB, ALPHAR,
ALPHAI, BETA, Q, LDQ, Z, LDZ, WORK, LWORK, INFO )
CHARACTER COMPQ, COMPZ, JOB
INTEGER IHI, ILO, INFO, LDA, LDB, LDQ, LDZ, LWORK, N
DOUBLE PRECISION A( LDA, * ), ALPHAI( * ), ALPHAR( * ), B( LDB,
* ), BETA( * ), Q( LDQ, * ), WORK( * ), Z( LDZ, * )
PURPOSE
DHGEQZ implements a single-/double-shift version of the QZ method for
finding the generalized eigenvalues B is upper triangular, and A is block
upper triangular, where the diagonal blocks are either 1-by-1 or 2-by-2,
the 2-by-2 blocks having complex generalized eigenvalues (see the
description of the argument JOB.)
If JOB='S', then the pair (A,B) is simultaneously reduced to Schur form by
applying one orthogonal tranformation (usually called Q) on the left and
another (usually called Z) on the right. The 2-by-2 upper-triangular
diagonal blocks of B corresponding to 2-by-2 blocks of A will be reduced to
positive diagonal matrices. (I.e., if A(j+1,j) is non-zero, then
B(j+1,j)=B(j,j+1)=0 and B(j,j) and B(j+1,j+1) will be positive.)
If JOB='E', then at each iteration, the same transformations are computed,
but they are only applied to those parts of A and B which are needed to
compute ALPHAR, ALPHAI, and BETAR.
If JOB='S' and COMPQ and COMPZ are 'V' or 'I', then the orthogonal
transformations used to reduce (A,B) are accumulated into the arrays Q and
Z s.t.:
Q(in) A(in) Z(in)* = Q(out) A(out) Z(out)*
Q(in) B(in) Z(in)* = Q(out) B(out) Z(out)*
Ref: C.B. Moler & G.W. Stewart, "An Algorithm for Generalized Matrix
Eigenvalue Problems", SIAM J. Numer. Anal., 10(1973),
pp. 241--256.
ARGUMENTS
JOB (input) CHARACTER*1
= 'E': compute only ALPHAR, ALPHAI, and BETA. A and B will not
necessarily be put into generalized Schur form. = 'S': put A and B
into generalized Schur form, as well as computing ALPHAR, ALPHAI,
and BETA.
COMPQ (input) CHARACTER*1
= 'N': do not modify Q.
= 'V': multiply the array Q on the right by the transpose of the
orthogonal tranformation that is applied to the left side of A and
B to reduce them to Schur form. = 'I': like COMPQ='V', except that
Q will be initialized to the identity first.
COMPZ (input) CHARACTER*1
= 'N': do not modify Z.
= 'V': multiply the array Z on the right by the orthogonal
tranformation that is applied to the right side of A and B to
reduce them to Schur form. = 'I': like COMPZ='V', except that Z
will be initialized to the identity first.
N (input) INTEGER
The order of the matrices A, B, Q, and Z. N >= 0.
ILO (input) INTEGER
IHI (input) INTEGER It is assumed that A is already upper
triangular in rows and columns 1:ILO-1 and IHI+1:N. 1 <= ILO <=
IHI <= N, if N > 0; ILO=1 and IHI=0, if N=0.
A (input/output) DOUBLE PRECISION array, dimension (LDA, N)
On entry, the N-by-N upper Hessenberg matrix A. Elements below the
subdiagonal must be zero. If JOB='S', then on exit A and B will
have been simultaneously reduced to generalized Schur form. If
JOB='E', then on exit A will have been destroyed. The diagonal
blocks will be correct, but the off-diagonal portion will be
meaningless.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max( 1, N ).
B (input/output) DOUBLE PRECISION array, dimension (LDB, N)
On entry, the N-by-N upper triangular matrix B. Elements below the
diagonal must be zero. 2-by-2 blocks in B corresponding to 2-by-2
blocks in A will be reduced to positive diagonal form. (I.e., if
A(j+1,j) is non-zero, then B(j+1,j)=B(j,j+1)=0 and B(j,j) and
B(j+1,j+1) will be positive.) If JOB='S', then on exit A and B will
have been simultaneously reduced to Schur form. If JOB='E', then
on exit B will have been destroyed. Elements corresponding to
diagonal blocks of A will be correct, but the off-diagonal portion
will be meaningless.
LDB (input) INTEGER
The leading dimension of the array B. LDB >= max( 1, N ).
ALPHAR (output) DOUBLE PRECISION array, dimension (N)
ALPHAR(1:N) will be set to real parts of the diagonal elements of A
that would result from reducing A and B to Schur form and then
further reducing them both to triangular form using unitary
transformations s.t. the diagonal of B was non-negative real.
Thus, if A(j,j) is in a 1-by-1 block (i.e., A(j+1,j)=A(j,j+1)=0),
then ALPHAR(j)=A(j,j). Note that the (real or complex) values
(ALPHAR(j) + i*ALPHAI(j))/BETA(j), j=1,...,N, are the generalized
eigenvalues of the matrix pencil A - wB.
ALPHAI (output) DOUBLE PRECISION array, dimension (N)
ALPHAI(1:N) will be set to imaginary parts of the diagonal elements
of A that would result from reducing A and B to Schur form and then
further reducing them both to triangular form using unitary
transformations s.t. the diagonal of B was non-negative real.
Thus, if A(j,j) is in a 1-by-1 block (i.e., A(j+1,j)=A(j,j+1)=0),
then ALPHAR(j)=0. Note that the (real or complex) values
(ALPHAR(j) + i*ALPHAI(j))/BETA(j), j=1,...,N, are the generalized
eigenvalues of the matrix pencil A - wB.
BETA (output) DOUBLE PRECISION array, dimension (N)
BETA(1:N) will be set to the (real) diagonal elements of B that
would result from reducing A and B to Schur form and then further
reducing them both to triangular form using unitary transformations
s.t. the diagonal of B was non-negative real. Thus, if A(j,j) is
in a 1-by-1 block (i.e., A(j+1,j)=A(j,j+1)=0), then BETA(j)=B(j,j).
Note that the (real or complex) values (ALPHAR(j) +
i*ALPHAI(j))/BETA(j), j=1,...,N, are the generalized eigenvalues of
the matrix pencil A - wB. (Note that BETA(1:N) will always be
non-negative, and no BETAI is necessary.)
Q (input/output) DOUBLE PRECISION array, dimension (LDQ, N)
If COMPQ='N', then Q will not be referenced. If COMPQ='V' or 'I',
then the transpose of the orthogonal transformations which are
applied to A and B on the left will be applied to the array Q on
the right.
LDQ (input) INTEGER
The leading dimension of the array Q. LDQ >= 1. If COMPQ='V' or
'I', then LDQ >= N.
Z (input/output) DOUBLE PRECISION array, dimension (LDZ, N)
If COMPZ='N', then Z will not be referenced. If COMPZ='V' or 'I',
then the orthogonal transformations which are applied to A and B on
the right will be applied to the array Z on the right.
LDZ (input) INTEGER
The leading dimension of the array Z. LDZ >= 1. If COMPZ='V' or
'I', then LDZ >= N.
WORK (workspace/output) DOUBLE PRECISION 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).
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
= 1,...,N: the QZ iteration did not converge. (A,B) is not in
Schur form, but ALPHAR(i), ALPHAI(i), and BETA(i), i=INFO+1,...,N
should be correct. = N+1,...,2*N: the shift calculation failed.
(A,B) is not in Schur form, but ALPHAR(i), ALPHAI(i), and BETA(i),
i=INFO-N+1,...,N should be correct. > 2*N: various
"impossible" errors.
FURTHER DETAILS
Iteration counters:
JITER -- counts iterations.
IITER -- counts iterations run since ILAST was last
changed. This is therefore reset only when a 1-by-1 or
2-by-2 block deflates off the bottom.
CXML Home Page Index of CXML Routines