Files
lapack/SRC/cggevx.f
T
NAKATA Maho ac82605ea9 refactor: rename ABS1 statement function to CABS1 for consistency
Several LAPACK, BLAS, and CBLAS source files defined a local statement
function named ABS1 for the complex 1-norm approximation:

    ABS1( X ) = ABS( REAL( X ) ) + ABS( AIMAG( X ) )
    ABS1( X ) = ABS( DBLE( X ) ) + ABS( DIMAG( X ) )

The majority of the codebase already uses CABS1 for this identical
purpose. This commit renames ABS1 to CABS1 in all remaining files
(definition line, declaration line, and all call sites within the
same file) to make the naming consistent across the repository.

A small number of fixed-form lines required continuation-line splits
to stay within the 72-column limit after the rename.

No numerical change. Statement functions are file-local in Fortran,
so there is no ABI or interface impact.

This is a preparatory cleanup before inlining these statement
functions (see issue #1200).
2026-03-28 14:46:42 +09:00

809 lines
26 KiB
FortranFixed

*> \brief <b> CGGEVX computes the eigenvalues and, optionally, the left and/or right eigenvectors for GE matrices</b>
*
* =========== DOCUMENTATION ===========
*
* Online html documentation available at
* http://www.netlib.org/lapack/explore-html/
*
*> Download CGGEVX + dependencies
*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/cggevx.f">
*> [TGZ]</a>
*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/cggevx.f">
*> [ZIP]</a>
*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/cggevx.f">
*> [TXT]</a>
*
* Definition:
* ===========
*
* SUBROUTINE CGGEVX( BALANC, JOBVL, JOBVR, SENSE, N, A, LDA, B, LDB,
* ALPHA, BETA, VL, LDVL, VR, LDVR, ILO, IHI,
* LSCALE, RSCALE, ABNRM, BBNRM, RCONDE, RCONDV,
* WORK, LWORK, RWORK, IWORK, BWORK, INFO )
*
* .. Scalar Arguments ..
* CHARACTER BALANC, JOBVL, JOBVR, SENSE
* INTEGER IHI, ILO, INFO, LDA, LDB, LDVL, LDVR, LWORK, N
* REAL ABNRM, BBNRM
* ..
* .. Array Arguments ..
* LOGICAL BWORK( * )
* INTEGER IWORK( * )
* REAL LSCALE( * ), RCONDE( * ), RCONDV( * ),
* $ RSCALE( * ), RWORK( * )
* COMPLEX A( LDA, * ), ALPHA( * ), B( LDB, * ),
* $ BETA( * ), VL( LDVL, * ), VR( LDVR, * ),
* $ WORK( * )
* ..
*
*
*> \par Purpose:
* =============
*>
*> \verbatim
*>
*> CGGEVX computes for a pair of N-by-N complex nonsymmetric matrices
*> (A,B) the generalized eigenvalues, and optionally, the left and/or
*> right generalized eigenvectors.
*>
*> Optionally, it also computes a balancing transformation to improve
*> the conditioning of the eigenvalues and eigenvectors (ILO, IHI,
*> LSCALE, RSCALE, ABNRM, and BBNRM), reciprocal condition numbers for
*> the eigenvalues (RCONDE), and reciprocal condition numbers for the
*> right eigenvectors (RCONDV).
*>
*> A generalized eigenvalue for a pair of matrices (A,B) is a scalar
*> lambda or a ratio alpha/beta = lambda, such that A - lambda*B is
*> singular. It is usually represented as the pair (alpha,beta), as
*> there is a reasonable interpretation for beta=0, and even for both
*> being zero.
*>
*> The right eigenvector v(j) corresponding to the eigenvalue lambda(j)
*> of (A,B) satisfies
*> A * v(j) = lambda(j) * B * v(j) .
*> The left eigenvector u(j) corresponding to the eigenvalue lambda(j)
*> of (A,B) satisfies
*> u(j)**H * A = lambda(j) * u(j)**H * B.
*> where u(j)**H is the conjugate-transpose of u(j).
*>
*> \endverbatim
*
* Arguments:
* ==========
*
*> \param[in] BALANC
*> \verbatim
*> BALANC is CHARACTER*1
*> Specifies the balance option to be performed:
*> = 'N': do not diagonally scale or permute;
*> = 'P': permute only;
*> = 'S': scale only;
*> = 'B': both permute and scale.
*> Computed reciprocal condition numbers will be for the
*> matrices after permuting and/or balancing. Permuting does
*> not change condition numbers (in exact arithmetic), but
*> balancing does.
*> \endverbatim
*>
*> \param[in] JOBVL
*> \verbatim
*> JOBVL is CHARACTER*1
*> = 'N': do not compute the left generalized eigenvectors;
*> = 'V': compute the left generalized eigenvectors.
*> \endverbatim
*>
*> \param[in] JOBVR
*> \verbatim
*> JOBVR is CHARACTER*1
*> = 'N': do not compute the right generalized eigenvectors;
*> = 'V': compute the right generalized eigenvectors.
*> \endverbatim
*>
*> \param[in] SENSE
*> \verbatim
*> SENSE is CHARACTER*1
*> Determines which reciprocal condition numbers are computed.
*> = 'N': none are computed;
*> = 'E': computed for eigenvalues only;
*> = 'V': computed for eigenvectors only;
*> = 'B': computed for eigenvalues and eigenvectors.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*> N is INTEGER
*> The order of the matrices A, B, VL, and VR. N >= 0.
*> \endverbatim
*>
*> \param[in,out] A
*> \verbatim
*> A is COMPLEX array, dimension (LDA, N)
*> On entry, the matrix A in the pair (A,B).
*> On exit, A has been overwritten. If JOBVL='V' or JOBVR='V'
*> or both, then A contains the first part of the complex Schur
*> form of the "balanced" versions of the input A and B.
*> \endverbatim
*>
*> \param[in] LDA
*> \verbatim
*> LDA is INTEGER
*> The leading dimension of A. LDA >= max(1,N).
*> \endverbatim
*>
*> \param[in,out] B
*> \verbatim
*> B is COMPLEX array, dimension (LDB, N)
*> On entry, the matrix B in the pair (A,B).
*> On exit, B has been overwritten. If JOBVL='V' or JOBVR='V'
*> or both, then B contains the second part of the complex
*> Schur form of the "balanced" versions of the input A and B.
*> \endverbatim
*>
*> \param[in] LDB
*> \verbatim
*> LDB is INTEGER
*> The leading dimension of B. LDB >= max(1,N).
*> \endverbatim
*>
*> \param[out] ALPHA
*> \verbatim
*> ALPHA is COMPLEX array, dimension (N)
*> \endverbatim
*>
*> \param[out] BETA
*> \verbatim
*> BETA is COMPLEX array, dimension (N)
*> On exit, ALPHA(j)/BETA(j), j=1,...,N, will be the generalized
*> eigenvalues.
*>
*> Note: the quotient ALPHA(j)/BETA(j) ) may easily over- or
*> underflow, and BETA(j) may even be zero. Thus, the user
*> should avoid naively computing the ratio ALPHA/BETA.
*> However, ALPHA will be always less than and usually
*> comparable with norm(A) in magnitude, and BETA always less
*> than and usually comparable with norm(B).
*> \endverbatim
*>
*> \param[out] VL
*> \verbatim
*> VL is COMPLEX array, dimension (LDVL,N)
*> If JOBVL = 'V', the left generalized eigenvectors u(j) are
*> stored one after another in the columns of VL, in the same
*> order as their eigenvalues.
*> Each eigenvector will be scaled so the largest component
*> will have abs(real part) + abs(imag. part) = 1.
*> Not referenced if JOBVL = 'N'.
*> \endverbatim
*>
*> \param[in] LDVL
*> \verbatim
*> LDVL is INTEGER
*> The leading dimension of the matrix VL. LDVL >= 1, and
*> if JOBVL = 'V', LDVL >= N.
*> \endverbatim
*>
*> \param[out] VR
*> \verbatim
*> VR is COMPLEX array, dimension (LDVR,N)
*> If JOBVR = 'V', the right generalized eigenvectors v(j) are
*> stored one after another in the columns of VR, in the same
*> order as their eigenvalues.
*> Each eigenvector will be scaled so the largest component
*> will have abs(real part) + abs(imag. part) = 1.
*> Not referenced if JOBVR = 'N'.
*> \endverbatim
*>
*> \param[in] LDVR
*> \verbatim
*> LDVR is INTEGER
*> The leading dimension of the matrix VR. LDVR >= 1, and
*> if JOBVR = 'V', LDVR >= N.
*> \endverbatim
*>
*> \param[out] ILO
*> \verbatim
*> ILO is INTEGER
*> \endverbatim
*>
*> \param[out] IHI
*> \verbatim
*> IHI is INTEGER
*> ILO and IHI are integer values such that on exit
*> A(i,j) = 0 and B(i,j) = 0 if i > j and
*> j = 1,...,ILO-1 or i = IHI+1,...,N.
*> If BALANC = 'N' or 'S', ILO = 1 and IHI = N.
*> \endverbatim
*>
*> \param[out] LSCALE
*> \verbatim
*> LSCALE is REAL array, dimension (N)
*> Details of the permutations and scaling factors applied
*> to the left side of A and B. If PL(j) is the index of the
*> row interchanged with row j, and DL(j) is the scaling
*> factor applied to row j, then
*> LSCALE(j) = PL(j) for j = 1,...,ILO-1
*> = DL(j) for j = ILO,...,IHI
*> = PL(j) for j = IHI+1,...,N.
*> The order in which the interchanges are made is N to IHI+1,
*> then 1 to ILO-1.
*> \endverbatim
*>
*> \param[out] RSCALE
*> \verbatim
*> RSCALE is REAL array, dimension (N)
*> Details of the permutations and scaling factors applied
*> to the right side of A and B. If PR(j) is the index of the
*> column interchanged with column j, and DR(j) is the scaling
*> factor applied to column j, then
*> RSCALE(j) = PR(j) for j = 1,...,ILO-1
*> = DR(j) for j = ILO,...,IHI
*> = PR(j) for j = IHI+1,...,N
*> The order in which the interchanges are made is N to IHI+1,
*> then 1 to ILO-1.
*> \endverbatim
*>
*> \param[out] ABNRM
*> \verbatim
*> ABNRM is REAL
*> The one-norm of the balanced matrix A.
*> \endverbatim
*>
*> \param[out] BBNRM
*> \verbatim
*> BBNRM is REAL
*> The one-norm of the balanced matrix B.
*> \endverbatim
*>
*> \param[out] RCONDE
*> \verbatim
*> RCONDE is REAL array, dimension (N)
*> If SENSE = 'E' or 'B', the reciprocal condition numbers of
*> the eigenvalues, stored in consecutive elements of the array.
*> If SENSE = 'N' or 'V', RCONDE is not referenced.
*> \endverbatim
*>
*> \param[out] RCONDV
*> \verbatim
*> RCONDV is REAL array, dimension (N)
*> If SENSE = 'V' or 'B', the estimated reciprocal condition
*> numbers of the eigenvectors, stored in consecutive elements
*> of the array. If the eigenvalues cannot be reordered to
*> compute RCONDV(j), RCONDV(j) is set to 0; this can only occur
*> when the true value would be very small anyway.
*> If SENSE = 'N' or 'E', RCONDV is not referenced.
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*> WORK is COMPLEX array, dimension (MAX(1,LWORK))
*> On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
*> \endverbatim
*>
*> \param[in] LWORK
*> \verbatim
*> LWORK is INTEGER
*> The dimension of the array WORK. LWORK >= max(1,2*N).
*> If SENSE = 'E', LWORK >= max(1,4*N).
*> If SENSE = 'V' or 'B', LWORK >= max(1,2*N*N+2*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.
*> \endverbatim
*>
*> \param[out] RWORK
*> \verbatim
*> RWORK is REAL array, dimension (lrwork)
*> lrwork must be at least max(1,6*N) if BALANC = 'S' or 'B',
*> and at least max(1,2*N) otherwise.
*> Real workspace.
*> \endverbatim
*>
*> \param[out] IWORK
*> \verbatim
*> IWORK is INTEGER array, dimension (N+2)
*> If SENSE = 'E', IWORK is not referenced.
*> \endverbatim
*>
*> \param[out] BWORK
*> \verbatim
*> BWORK is LOGICAL array, dimension (N)
*> If SENSE = 'N', BWORK is not referenced.
*> \endverbatim
*>
*> \param[out] INFO
*> \verbatim
*> INFO is INTEGER
*> = 0: successful exit
*> < 0: if INFO = -i, the i-th argument had an illegal value.
*> = 1,...,N:
*> The QZ iteration failed. No eigenvectors have been
*> calculated, but ALPHA(j) and BETA(j) should be correct
*> for j=INFO+1,...,N.
*> > N: =N+1: other than QZ iteration failed in CHGEQZ.
*> =N+2: error return from CTGEVC.
*> \endverbatim
*
* Authors:
* ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \ingroup ggevx
*
*> \par Further Details:
* =====================
*>
*> \verbatim
*>
*> Balancing a matrix pair (A,B) includes, first, permuting rows and
*> columns to isolate eigenvalues, second, applying diagonal similarity
*> transformation to the rows and columns to make the rows and columns
*> as close in norm as possible. The computed reciprocal condition
*> numbers correspond to the balanced matrix. Permuting rows and columns
*> will not change the condition numbers (in exact arithmetic) but
*> diagonal scaling will. For further explanation of balancing, see
*> section 4.11.1.2 of LAPACK Users' Guide.
*>
*> An approximate error bound on the chordal distance between the i-th
*> computed generalized eigenvalue w and the corresponding exact
*> eigenvalue lambda is
*>
*> chord(w, lambda) <= EPS * norm(ABNRM, BBNRM) / RCONDE(I)
*>
*> An approximate error bound for the angle between the i-th computed
*> eigenvector VL(i) or VR(i) is given by
*>
*> EPS * norm(ABNRM, BBNRM) / DIF(i).
*>
*> For further explanation of the reciprocal condition numbers RCONDE
*> and RCONDV, see section 4.11 of LAPACK User's Guide.
*> \endverbatim
*>
* =====================================================================
SUBROUTINE CGGEVX( BALANC, JOBVL, JOBVR, SENSE, N, A, LDA, B,
$ LDB,
$ ALPHA, BETA, VL, LDVL, VR, LDVR, ILO, IHI,
$ LSCALE, RSCALE, ABNRM, BBNRM, RCONDE, RCONDV,
$ WORK, LWORK, RWORK, IWORK, BWORK, INFO )
IMPLICIT NONE
*
* -- LAPACK driver routine --
* -- LAPACK is a software package provided by Univ. of Tennessee, --
* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*
* .. Scalar Arguments ..
CHARACTER BALANC, JOBVL, JOBVR, SENSE
INTEGER IHI, ILO, INFO, LDA, LDB, LDVL, LDVR, LWORK, N
REAL ABNRM, BBNRM
* ..
* .. Array Arguments ..
LOGICAL BWORK( * )
INTEGER IWORK( * )
REAL LSCALE( * ), RCONDE( * ), RCONDV( * ),
$ RSCALE( * ), RWORK( * )
COMPLEX A( LDA, * ), ALPHA( * ), B( LDB, * ),
$ BETA( * ), VL( LDVL, * ), VR( LDVR, * ),
$ WORK( * )
* ..
*
* =====================================================================
*
* .. Parameters ..
REAL ZERO, ONE
PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 )
COMPLEX CZERO, CONE
PARAMETER ( CZERO = ( 0.0E+0, 0.0E+0 ),
$ CONE = ( 1.0E+0, 0.0E+0 ) )
* ..
* .. Local Scalars ..
LOGICAL ILASCL, ILBSCL, ILV, ILVL, ILVR, LQUERY, NOSCL,
$ WANTSB, WANTSE, WANTSN, WANTSV
CHARACTER CHTEMP
INTEGER I, ICOLS, IERR, IJOBVL, IJOBVR, IN, IROWS,
$ ITAU, IWRK, IWRK1, J, JC, JR, M, MAXWRK, MINWRK
REAL ANRM, ANRMTO, BIGNUM, BNRM, BNRMTO, EPS,
$ SMLNUM, TEMP
COMPLEX X
* ..
* .. Local Arrays ..
LOGICAL LDUMMA( 1 )
* ..
* .. External Subroutines ..
EXTERNAL CGEQRF, CGGBAK, CGGBAL, CGGHRD, CHGEQZ,
$ CLACPY,
$ CLASCL, CLASET, CTGEVC, CTGSNA, CUNGQR, CUNMQR,
$ SLASCL, XERBLA
* ..
* .. External Functions ..
LOGICAL LSAME
INTEGER ILAENV
REAL CLANGE, SLAMCH, SROUNDUP_LWORK
EXTERNAL LSAME, ILAENV, CLANGE, SLAMCH,
$ SROUNDUP_LWORK
* ..
* .. Intrinsic Functions ..
INTRINSIC ABS, AIMAG, MAX, REAL, SQRT
* ..
* .. Statement Functions ..
REAL CABS1
* ..
* .. Statement Function definitions ..
CABS1( X ) = ABS( REAL( X ) ) + ABS( AIMAG( X ) )
* ..
* .. Executable Statements ..
*
* Decode the input arguments
*
IF( LSAME( JOBVL, 'N' ) ) THEN
IJOBVL = 1
ILVL = .FALSE.
ELSE IF( LSAME( JOBVL, 'V' ) ) THEN
IJOBVL = 2
ILVL = .TRUE.
ELSE
IJOBVL = -1
ILVL = .FALSE.
END IF
*
IF( LSAME( JOBVR, 'N' ) ) THEN
IJOBVR = 1
ILVR = .FALSE.
ELSE IF( LSAME( JOBVR, 'V' ) ) THEN
IJOBVR = 2
ILVR = .TRUE.
ELSE
IJOBVR = -1
ILVR = .FALSE.
END IF
ILV = ILVL .OR. ILVR
*
NOSCL = LSAME( BALANC, 'N' ) .OR. LSAME( BALANC, 'P' )
WANTSN = LSAME( SENSE, 'N' )
WANTSE = LSAME( SENSE, 'E' )
WANTSV = LSAME( SENSE, 'V' )
WANTSB = LSAME( SENSE, 'B' )
*
* Test the input arguments
*
INFO = 0
LQUERY = ( LWORK.EQ.-1 )
IF( .NOT.( NOSCL .OR. LSAME( BALANC,'S' ) .OR.
$ LSAME( BALANC, 'B' ) ) ) THEN
INFO = -1
ELSE IF( IJOBVL.LE.0 ) THEN
INFO = -2
ELSE IF( IJOBVR.LE.0 ) THEN
INFO = -3
ELSE IF( .NOT.( WANTSN .OR. WANTSE .OR. WANTSB .OR. WANTSV ) )
$ THEN
INFO = -4
ELSE IF( N.LT.0 ) THEN
INFO = -5
ELSE IF( LDA.LT.MAX( 1, N ) ) THEN
INFO = -7
ELSE IF( LDB.LT.MAX( 1, N ) ) THEN
INFO = -9
ELSE IF( LDVL.LT.1 .OR. ( ILVL .AND. LDVL.LT.N ) ) THEN
INFO = -13
ELSE IF( LDVR.LT.1 .OR. ( ILVR .AND. LDVR.LT.N ) ) THEN
INFO = -15
END IF
*
* Compute workspace
* (Note: Comments in the code beginning "Workspace:" describe the
* minimal amount of workspace needed at that point in the code,
* as well as the preferred amount for good performance.
* NB refers to the optimal block size for the immediately
* following subroutine, as returned by ILAENV. The workspace is
* computed assuming ILO = 1 and IHI = N, the worst case.)
*
IF( INFO.EQ.0 ) THEN
IF( N.EQ.0 ) THEN
MINWRK = 1
MAXWRK = 1
ELSE
MINWRK = 2*N
IF( WANTSE ) THEN
MINWRK = 4*N
ELSE IF( WANTSV .OR. WANTSB ) THEN
MINWRK = 2*N*( N + 1)
END IF
MAXWRK = MINWRK
MAXWRK = MAX( MAXWRK,
$ N + N*ILAENV( 1, 'CGEQRF', ' ', N, 1, N,
$ 0 ) )
MAXWRK = MAX( MAXWRK,
$ N + N*ILAENV( 1, 'CUNMQR', ' ', N, 1, N,
$ 0 ) )
IF( ILVL ) THEN
MAXWRK = MAX( MAXWRK, N +
$ N*ILAENV( 1, 'CUNGQR', ' ', N, 1, N,
$ 0 ) )
END IF
END IF
WORK( 1 ) = SROUNDUP_LWORK(MAXWRK)
*
IF( LWORK.LT.MINWRK .AND. .NOT.LQUERY ) THEN
INFO = -25
END IF
END IF
*
IF( INFO.NE.0 ) THEN
CALL XERBLA( 'CGGEVX', -INFO )
RETURN
ELSE IF( LQUERY ) THEN
RETURN
END IF
*
* Quick return if possible
*
IF( N.EQ.0 )
$ RETURN
*
* Get machine constants
*
EPS = SLAMCH( 'P' )
SMLNUM = SLAMCH( 'S' )
BIGNUM = ONE / SMLNUM
SMLNUM = SQRT( SMLNUM ) / EPS
BIGNUM = ONE / SMLNUM
*
* Scale A if max element outside range [SMLNUM,BIGNUM]
*
ANRM = CLANGE( 'M', N, N, A, LDA, RWORK )
ILASCL = .FALSE.
IF( ANRM.GT.ZERO .AND. ANRM.LT.SMLNUM ) THEN
ANRMTO = SMLNUM
ILASCL = .TRUE.
ELSE IF( ANRM.GT.BIGNUM ) THEN
ANRMTO = BIGNUM
ILASCL = .TRUE.
END IF
IF( ILASCL )
$ CALL CLASCL( 'G', 0, 0, ANRM, ANRMTO, N, N, A, LDA, IERR )
*
* Scale B if max element outside range [SMLNUM,BIGNUM]
*
BNRM = CLANGE( 'M', N, N, B, LDB, RWORK )
ILBSCL = .FALSE.
IF( BNRM.GT.ZERO .AND. BNRM.LT.SMLNUM ) THEN
BNRMTO = SMLNUM
ILBSCL = .TRUE.
ELSE IF( BNRM.GT.BIGNUM ) THEN
BNRMTO = BIGNUM
ILBSCL = .TRUE.
END IF
IF( ILBSCL )
$ CALL CLASCL( 'G', 0, 0, BNRM, BNRMTO, N, N, B, LDB, IERR )
*
* Permute and/or balance the matrix pair (A,B)
* (Real Workspace: need 6*N if BALANC = 'S' or 'B', 1 otherwise)
*
CALL CGGBAL( BALANC, N, A, LDA, B, LDB, ILO, IHI, LSCALE,
$ RSCALE,
$ RWORK, IERR )
*
* Compute ABNRM and BBNRM
*
ABNRM = CLANGE( '1', N, N, A, LDA, RWORK( 1 ) )
IF( ILASCL ) THEN
RWORK( 1 ) = ABNRM
CALL SLASCL( 'G', 0, 0, ANRMTO, ANRM, 1, 1, RWORK( 1 ), 1,
$ IERR )
ABNRM = RWORK( 1 )
END IF
*
BBNRM = CLANGE( '1', N, N, B, LDB, RWORK( 1 ) )
IF( ILBSCL ) THEN
RWORK( 1 ) = BBNRM
CALL SLASCL( 'G', 0, 0, BNRMTO, BNRM, 1, 1, RWORK( 1 ), 1,
$ IERR )
BBNRM = RWORK( 1 )
END IF
*
* Reduce B to triangular form (QR decomposition of B)
* (Complex Workspace: need N, prefer N*NB )
*
IROWS = IHI + 1 - ILO
IF( ILV .OR. .NOT.WANTSN ) THEN
ICOLS = N + 1 - ILO
ELSE
ICOLS = IROWS
END IF
ITAU = 1
IWRK = ITAU + IROWS
CALL CGEQRF( IROWS, ICOLS, B( ILO, ILO ), LDB, WORK( ITAU ),
$ WORK( IWRK ), LWORK+1-IWRK, IERR )
*
* Apply the unitary transformation to A
* (Complex Workspace: need N, prefer N*NB)
*
CALL CUNMQR( 'L', 'C', IROWS, ICOLS, IROWS, B( ILO, ILO ), LDB,
$ WORK( ITAU ), A( ILO, ILO ), LDA, WORK( IWRK ),
$ LWORK+1-IWRK, IERR )
*
* Initialize VL and/or VR
* (Workspace: need N, prefer N*NB)
*
IF( ILVL ) THEN
CALL CLASET( 'Full', N, N, CZERO, CONE, VL, LDVL )
IF( IROWS.GT.1 ) THEN
CALL CLACPY( 'L', IROWS-1, IROWS-1, B( ILO+1, ILO ), LDB,
$ VL( ILO+1, ILO ), LDVL )
END IF
CALL CUNGQR( IROWS, IROWS, IROWS, VL( ILO, ILO ), LDVL,
$ WORK( ITAU ), WORK( IWRK ), LWORK+1-IWRK, IERR )
END IF
*
IF( ILVR )
$ CALL CLASET( 'Full', N, N, CZERO, CONE, VR, LDVR )
*
* Reduce to generalized Hessenberg form
* (Workspace: none needed)
*
IF( ILV .OR. .NOT.WANTSN ) THEN
*
* Eigenvectors requested -- work on whole matrix.
*
CALL CGGHRD( JOBVL, JOBVR, N, ILO, IHI, A, LDA, B, LDB, VL,
$ LDVL, VR, LDVR, IERR )
ELSE
CALL CGGHRD( 'N', 'N', IROWS, 1, IROWS, A( ILO, ILO ), LDA,
$ B( ILO, ILO ), LDB, VL, LDVL, VR, LDVR, IERR )
END IF
*
* Perform QZ algorithm (Compute eigenvalues, and optionally, the
* Schur forms and Schur vectors)
* (Complex Workspace: need N)
* (Real Workspace: need N)
*
IWRK = ITAU
IF( ILV .OR. .NOT.WANTSN ) THEN
CHTEMP = 'S'
ELSE
CHTEMP = 'E'
END IF
*
CALL CHGEQZ( CHTEMP, JOBVL, JOBVR, N, ILO, IHI, A, LDA, B, LDB,
$ ALPHA, BETA, VL, LDVL, VR, LDVR, WORK( IWRK ),
$ LWORK+1-IWRK, RWORK, IERR )
IF( IERR.NE.0 ) THEN
IF( IERR.GT.0 .AND. IERR.LE.N ) THEN
INFO = IERR
ELSE IF( IERR.GT.N .AND. IERR.LE.2*N ) THEN
INFO = IERR - N
ELSE
INFO = N + 1
END IF
GO TO 90
END IF
*
* Compute Eigenvectors and estimate condition numbers if desired
* CTGEVC: (Complex Workspace: need 2*N )
* (Real Workspace: need 2*N )
* CTGSNA: (Complex Workspace: need 2*N*N if SENSE='V' or 'B')
* (Integer Workspace: need N+2 )
*
IF( ILV .OR. .NOT.WANTSN ) THEN
IF( ILV ) THEN
IF( ILVL ) THEN
IF( ILVR ) THEN
CHTEMP = 'B'
ELSE
CHTEMP = 'L'
END IF
ELSE
CHTEMP = 'R'
END IF
*
CALL CTGEVC( CHTEMP, 'B', LDUMMA, N, A, LDA, B, LDB, VL,
$ LDVL, VR, LDVR, N, IN, WORK( IWRK ), RWORK,
$ IERR )
IF( IERR.NE.0 ) THEN
INFO = N + 2
GO TO 90
END IF
END IF
*
IF( .NOT.WANTSN ) THEN
*
* compute eigenvectors (CTGEVC) and estimate condition
* numbers (CTGSNA). Note that the definition of the condition
* number is not invariant under transformation (u,v) to
* (Q*u, Z*v), where (u,v) are eigenvectors of the generalized
* Schur form (S,T), Q and Z are orthogonal matrices. In order
* to avoid using extra 2*N*N workspace, we have to
* re-calculate eigenvectors and estimate the condition numbers
* one at a time.
*
DO 20 I = 1, N
*
DO 10 J = 1, N
BWORK( J ) = .FALSE.
10 CONTINUE
BWORK( I ) = .TRUE.
*
IWRK = N + 1
IWRK1 = IWRK + N
*
IF( WANTSE .OR. WANTSB ) THEN
CALL CTGEVC( 'B', 'S', BWORK, N, A, LDA, B, LDB,
$ WORK( 1 ), N, WORK( IWRK ), N, 1, M,
$ WORK( IWRK1 ), RWORK, IERR )
IF( IERR.NE.0 ) THEN
INFO = N + 2
GO TO 90
END IF
END IF
*
CALL CTGSNA( SENSE, 'S', BWORK, N, A, LDA, B, LDB,
$ WORK( 1 ), N, WORK( IWRK ), N, RCONDE( I ),
$ RCONDV( I ), 1, M, WORK( IWRK1 ),
$ LWORK-IWRK1+1, IWORK, IERR )
*
20 CONTINUE
END IF
END IF
*
* Undo balancing on VL and VR and normalization
* (Workspace: none needed)
*
IF( ILVL ) THEN
CALL CGGBAK( BALANC, 'L', N, ILO, IHI, LSCALE, RSCALE, N,
$ VL,
$ LDVL, IERR )
*
DO 50 JC = 1, N
TEMP = ZERO
DO 30 JR = 1, N
TEMP = MAX( TEMP, CABS1( VL( JR, JC ) ) )
30 CONTINUE
IF( TEMP.LT.SMLNUM )
$ GO TO 50
TEMP = ONE / TEMP
DO 40 JR = 1, N
VL( JR, JC ) = VL( JR, JC )*TEMP
40 CONTINUE
50 CONTINUE
END IF
*
IF( ILVR ) THEN
CALL CGGBAK( BALANC, 'R', N, ILO, IHI, LSCALE, RSCALE, N,
$ VR,
$ LDVR, IERR )
DO 80 JC = 1, N
TEMP = ZERO
DO 60 JR = 1, N
TEMP = MAX( TEMP, CABS1( VR( JR, JC ) ) )
60 CONTINUE
IF( TEMP.LT.SMLNUM )
$ GO TO 80
TEMP = ONE / TEMP
DO 70 JR = 1, N
VR( JR, JC ) = VR( JR, JC )*TEMP
70 CONTINUE
80 CONTINUE
END IF
*
* Undo scaling if necessary
*
90 CONTINUE
*
IF( ILASCL )
$ CALL CLASCL( 'G', 0, 0, ANRMTO, ANRM, N, 1, ALPHA, N, IERR )
*
IF( ILBSCL )
$ CALL CLASCL( 'G', 0, 0, BNRMTO, BNRM, N, 1, BETA, N, IERR )
*
WORK( 1 ) = SROUNDUP_LWORK(MAXWRK)
RETURN
*
* End of CGGEVX
*
END