      SUBROUTINE DTGSEN( IJOB, WANTQ, WANTZ, SELECT, N, A, LDA, B, LDB,
     $                   ALPHAR, ALPHAI, BETA, Q, LDQ, Z, LDZ, M, PL,
     $                   PR, DIF, WORK, LWORK, IWORK, LIWORK, INFO )
*
*  -- LAPACK routine (version 3.0) --
*     Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
*     Courant Institute, Argonne National Lab, and Rice University
*     June 30, 1999
*
*     .. Scalar Arguments ..
      LOGICAL            WANTQ, WANTZ
      INTEGER            IJOB, INFO, LDA, LDB, LDQ, LDZ, LIWORK, LWORK,
     $                   M, N
      DOUBLE PRECISION   PL, PR
*     ..
*     .. Array Arguments ..
      LOGICAL            SELECT( * )
      INTEGER            IWORK( * )
      DOUBLE PRECISION   A( LDA, * ), ALPHAI( * ), ALPHAR( * ),
     $                   B( LDB, * ), BETA( * ), DIF( * ), Q( LDQ, * ),
     $                   WORK( * ), Z( LDZ, * )
*     ..
*
*  Purpose
*  =======
*
*  DTGSEN reorders the generalized real Schur decomposition of a real
*  matrix pair (A, B) (in terms of an orthonormal equivalence trans-
*  formation Q' * (A, B) * Z), so that a selected cluster of eigenvalues
*  appears in the leading diagonal blocks of the upper quasi-triangular
*  matrix A and the upper triangular B. The leading columns of Q and
*  Z form orthonormal bases of the corresponding left and right eigen-
*  spaces (deflating subspaces). (A, B) must be in generalized real
*  Schur canonical form (as returned by DGGES), i.e. A is block upper
*  triangular with 1-by-1 and 2-by-2 diagonal blocks. B is upper
*  triangular.
*
*  DTGSEN also computes the generalized eigenvalues
*
*              w(j) = (ALPHAR(j) + i*ALPHAI(j))/BETA(j)
*
*  of the reordered matrix pair (A, B).
*
*  Optionally, DTGSEN computes the estimates of reciprocal condition
*  numbers for eigenvalues and eigenspaces. These are Difu[(A11,B11),
*  (A22,B22)] and Difl[(A11,B11), (A22,B22)], i.e. the separation(s)
*  between the matrix pairs (A11, B11) and (A22,B22) that correspond to
*  the selected cluster and the eigenvalues outside the cluster, resp.,
*  and norms of "projections" onto left and right eigenspaces w.r.t.
*  the selected cluster in the (1,1)-block.
*
*  Arguments
*  =========
*
*  IJOB    (input) INTEGER
*          Specifies whether condition numbers are required for the
*          cluster of eigenvalues (PL and PR) or the deflating subspaces
*          (Difu and Difl):
*           =0: Only reorder w.r.t. SELECT. No extras.
*           =1: Reciprocal of norms of "projections" onto left and right
*               eigenspaces w.r.t. the selected cluster (PL and PR).
*           =2: Upper bounds on Difu and Difl. F-norm-based estimate
*               (DIF(1:2)).
*           =3: Estimate of Difu and Difl. 1-norm-based estimate
*               (DIF(1:2)).
*               About 5 times as expensive as IJOB = 2.
*           =4: Compute PL, PR and DIF (i.e. 0, 1 and 2 above): Economic
*               version to get it all.
*           =5: Compute PL, PR and DIF (i.e. 0, 1 and 3 above)
*
*  WANTQ   (input) LOGICAL
*          .TRUE. : update the left transformation matrix Q;
*          .FALSE.: do not update Q.
*
*  WANTZ   (input) LOGICAL
*          .TRUE. : update the right transformation matrix Z;
*          .FALSE.: do not update Z.
*
*  SELECT  (input) LOGICAL array, dimension (N)
*          SELECT specifies the eigenvalues in the selected cluster.
*          To select a real eigenvalue w(j), SELECT(j) must be set to
*          .TRUE.. To select a complex conjugate pair of eigenvalues
*          w(j) and w(j+1), corresponding to a 2-by-2 diagonal block,
*          either SELECT(j) or SELECT(j+1) or both must be set to
*          .TRUE.; a complex conjugate pair of eigenvalues must be
*          either both included in the cluster or both excluded.
*
*  N       (input) INTEGER
*          The order of the matrices A and B. N >= 0.
*
*  A       (input/output) DOUBLE PRECISION array, dimension(LDA,N)
*          On entry, the upper quasi-triangular matrix A, with (A, B) in
*          generalized real Schur canonical form.
*          On exit, A is overwritten by the reordered matrix A.
*
*  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 upper triangular matrix B, with (A, B) in
*          generalized real Schur canonical form.
*          On exit, B is overwritten by the reordered matrix B.
*
*  LDB     (input) INTEGER
*          The leading dimension of the array B. LDB >= max(1,N).
*
*  ALPHAR  (output) DOUBLE PRECISION array, dimension (N)
*  ALPHAI  (output) DOUBLE PRECISION array, dimension (N)
*  BETA    (output) DOUBLE PRECISION array, dimension (N)
*          On exit, (ALPHAR(j) + ALPHAI(j)*i)/BETA(j), j=1,...,N, will
*          be the generalized eigenvalues.  ALPHAR(j) + ALPHAI(j)*i
*          and BETA(j),j=1,...,N  are the diagonals of the complex Schur
*          form (S,T) that would result if the 2-by-2 diagonal blocks of
*          the real generalized Schur form of (A,B) were further reduced
*          to triangular form using complex unitary transformations.
*          If ALPHAI(j) is zero, then the j-th eigenvalue is real; if
*          positive, then the j-th and (j+1)-st eigenvalues are a
*          complex conjugate pair, with ALPHAI(j+1) negative.
*
*  Q       (input/output) DOUBLE PRECISION array, dimension (LDQ,N)
*          On entry, if WANTQ = .TRUE., Q is an N-by-N matrix.
*          On exit, Q has been postmultiplied by the left orthogonal
*          transformation matrix which reorder (A, B); The leading M
*          columns of Q form orthonormal bases for the specified pair of
*          left eigenspaces (deflating subspaces).
*          If WANTQ = .FALSE., Q is not referenced.
*
*  LDQ     (input) INTEGER
*          The leading dimension of the array Q.  LDQ >= 1;
*          and if WANTQ = .TRUE., LDQ >= N.
*
*  Z       (input/output) DOUBLE PRECISION array, dimension (LDZ,N)
*          On entry, if WANTZ = .TRUE., Z is an N-by-N matrix.
*          On exit, Z has been postmultiplied by the left orthogonal
*          transformation matrix which reorder (A, B); The leading M
*          columns of Z form orthonormal bases for the specified pair of
*          left eigenspaces (deflating subspaces).
*          If WANTZ = .FALSE., Z is not referenced.
*
*  LDZ     (input) INTEGER
*          The leading dimension of the array Z. LDZ >= 1;
*          If WANTZ = .TRUE., LDZ >= N.
*
*  M       (output) INTEGER
*          The dimension of the specified pair of left and right eigen-
*          spaces (deflating subspaces). 0 <= M <= N.
*
*  PL, PR  (output) DOUBLE PRECISION
*          If IJOB = 1, 4 or 5, PL, PR are lower bounds on the
*          reciprocal of the norm of "projections" onto left and right
*          eigenspaces with respect to the selected cluster.
*          0 < PL, PR <= 1.
*          If M = 0 or M = N, PL = PR  = 1.
*          If IJOB = 0, 2 or 3, PL and PR are not referenced.
*
*  DIF     (output) DOUBLE PRECISION array, dimension (2).
*          If IJOB >= 2, DIF(1:2) store the estimates of Difu and Difl.
*          If IJOB = 2 or 4, DIF(1:2) are F-norm-based upper bounds on
*          Difu and Difl. If IJOB = 3 or 5, DIF(1:2) are 1-norm-based
*          estimates of Difu and Difl.
*          If M = 0 or N, DIF(1:2) = F-norm([A, B]).
*          If IJOB = 0 or 1, DIF is not referenced.
*
*  WORK    (workspace/output) DOUBLE PRECISION array, dimension (LWORK)
*          IF IJOB = 0, WORK is not referenced.  Otherwise,
*          on exit, if INFO = 0, WORK(1) returns the optimal LWORK.
*
*  LWORK   (input) INTEGER
*          The dimension of the array WORK. LWORK >=  4*N+16.
*          If IJOB = 1, 2 or 4, LWORK >= MAX(4*N+16, 2*M*(N-M)).
*          If IJOB = 3 or 5, LWORK >= MAX(4*N+16, 4*M*(N-M)).
*
*          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.
*
*  IWORK   (workspace/output) INTEGER array, dimension (LIWORK)
*          IF IJOB = 0, IWORK is not referenced.  Otherwise,
*          on exit, if INFO = 0, IWORK(1) returns the optimal LIWORK.
*
*  LIWORK  (input) INTEGER
*          The dimension of the array IWORK. LIWORK >= 1.
*          If IJOB = 1, 2 or 4, LIWORK >=  N+6.
*          If IJOB = 3 or 5, LIWORK >= MAX(2*M*(N-M), N+6).
*
*          If LIWORK = -1, then a workspace query is assumed; the
*          routine only calculates the optimal size of the IWORK array,
*          returns this value as the first entry of the IWORK array, and
*          no error message related to LIWORK is issued by XERBLA.
*
*  INFO    (output) INTEGER
*            =0: Successful exit.
*            <0: If INFO = -i, the i-th argument had an illegal value.
*            =1: Reordering of (A, B) failed because the transformed
*                matrix pair (A, B) would be too far from generalized
*                Schur form; the problem is very ill-conditioned.
*                (A, B) may have been partially reordered.
*                If requested, 0 is returned in DIF(*), PL and PR.
*
*  Further Details
*  ===============
*
*  DTGSEN first collects the selected eigenvalues by computing
*  orthogonal U and W that move them to the top left corner of (A, B).
*  In other words, the selected eigenvalues are the eigenvalues of
*  (A11, B11) in:
*
*                U'*(A, B)*W = (A11 A12) (B11 B12) n1
*                              ( 0  A22),( 0  B22) n2
*                                n1  n2    n1  n2
*
*  where N = n1+n2 and U' means the transpose of U. The first n1 columns
*  of U and W span the specified pair of left and right eigenspaces
*  (deflating subspaces) of (A, B).
*
*  If (A, B) has been obtained from the generalized real Schur
*  decomposition of a matrix pair (C, D) = Q*(A, B)*Z', then the
*  reordered generalized real Schur form of (C, D) is given by
*
*           (C, D) = (Q*U)*(U'*(A, B)*W)*(Z*W)',
*
*  and the first n1 columns of Q*U and Z*W span the corresponding
*  deflating subspaces of (C, D) (Q and Z store Q*U and Z*W, resp.).
*
*  Note that if the selected eigenvalue is sufficiently ill-conditioned,
*  then its value may differ significantly from its value before
*  reordering.
*
*  The reciprocal condition numbers of the left and right eigenspaces
*  spanned by the first n1 columns of U and W (or Q*U and Z*W) may
*  be returned in DIF(1:2), corresponding to Difu and Difl, resp.
*
*  The Difu and Difl are defined as:
*
*       Difu[(A11, B11), (A22, B22)] = sigma-min( Zu )
*  and
*       Difl[(A11, B11), (A22, B22)] = Difu[(A22, B22), (A11, B11)],
*
*  where sigma-min(Zu) is the smallest singular value of the
*  (2*n1*n2)-by-(2*n1*n2) matrix
*
*       Zu = [ kron(In2, A11)  -kron(A22', In1) ]
*            [ kron(In2, B11)  -kron(B22', In1) ].
*
*  Here, Inx is the identity matrix of size nx and A22' is the
*  transpose of A22. kron(X, Y) is the Kronecker product between
*  the matrices X and Y.
*
*  When DIF(2) is small, small changes in (A, B) can cause large changes
*  in the deflating subspace. An approximate (asymptotic) bound on the
*  maximum angular error in the computed deflating subspaces is
*
*       EPS * norm((A, B)) / DIF(2),
*
*  where EPS is the machine precision.
*
*  The reciprocal norm of the projectors on the left and right
*  eigenspaces associated with (A11, B11) may be returned in PL and PR.
*  They are computed as follows. First we compute L and R so that
*  P*(A, B)*Q is block diagonal, where
*
*       P = ( I -L ) n1           Q = ( I R ) n1
*           ( 0  I ) n2    and        ( 0 I ) n2
*             n1 n2                    n1 n2
*
*  and (L, R) is the solution to the generalized Sylvester equation
*
*       A11*R - L*A22 = -A12
*       B11*R - L*B22 = -B12
*
*  Then PL = (F-norm(L)**2+1)**(-1/2) and PR = (F-norm(R)**2+1)**(-1/2).
*  An approximate (asymptotic) bound on the average absolute error of
*  the selected eigenvalues is
*
*       EPS * norm((A, B)) / PL.
*
*  There are also global error bounds which valid for perturbations up
*  to a certain restriction:  A lower bound (x) on the smallest
*  F-norm(E,F) for which an eigenvalue of (A11, B11) may move and
*  coalesce with an eigenvalue of (A22, B22) under perturbation (E,F),
*  (i.e. (A + E, B + F), is
*
*   x = min(Difu,Difl)/((1/(PL*PL)+1/(PR*PR))**(1/2)+2*max(1/PL,1/PR)).
*
*  An approximate bound on x can be computed from DIF(1:2), PL and PR.
*
*  If y = ( F-norm(E,F) / x) <= 1, the angles between the perturbed
*  (L', R') and unperturbed (L, R) left and right deflating subspaces
*  associated with the selected cluster in the (1,1)-blocks can be
*  bounded as
*
*   max-angle(L, L') <= arctan( y * PL / (1 - y * (1 - PL * PL)**(1/2))
*   max-angle(R, R') <= arctan( y * PR / (1 - y * (1 - PR * PR)**(1/2))
*
*  See LAPACK User's Guide section 4.11 or the following references
*  for more information.
*
*  Note that if the default method for computing the Frobenius-norm-
*  based estimate DIF is not wanted (see DLATDF), then the parameter
*  IDIFJB (see below) should be changed from 3 to 4 (routine DLATDF
*  (IJOB = 2 will be used)). See DTGSYL for more details.
*
*  Based on contributions by
*     Bo Kagstrom and Peter Poromaa, Department of Computing Science,
*     Umea University, S-901 87 Umea, Sweden.
*
*  References
*  ==========
*
*  [1] B. Kagstrom; A Direct Method for Reordering Eigenvalues in the
*      Generalized Real Schur Form of a Regular Matrix Pair (A, B), in
*      M.S. Moonen et al (eds), Linear Algebra for Large Scale and
*      Real-Time Applications, Kluwer Academic Publ. 1993, pp 195-218.
*
*  [2] B. Kagstrom and P. Poromaa; Computing Eigenspaces with Specified
*      Eigenvalues of a Regular Matrix Pair (A, B) and Condition
*      Estimation: Theory, Algorithms and Software,
*      Report UMINF - 94.04, Department of Computing Science, Umea
*      University, S-901 87 Umea, Sweden, 1994. Also as LAPACK Working
*      Note 87. To appear in Numerical Algorithms, 1996.
*
*  [3] B. Kagstrom and P. Poromaa, LAPACK-Style Algorithms and Software
*      for Solving the Generalized Sylvester Equation and Estimating the
*      Separation between Regular Matrix Pairs, Report UMINF - 93.23,
*      Department of Computing Science, Umea University, S-901 87 Umea,
*      Sweden, December 1993, Revised April 1994, Also as LAPACK Working
*      Note 75. To appear in ACM Trans. on Math. Software, Vol 22, No 1,
*      1996.
*
*  =====================================================================
*
*     .. Parameters ..
      INTEGER            IDIFJB
      PARAMETER          ( IDIFJB = 3 )
      DOUBLE PRECISION   ZERO, ONE
      PARAMETER          ( ZERO = 0.0D+0, ONE = 1.0D+0 )
*     ..
*     .. Local Scalars ..
      LOGICAL            LQUERY, PAIR, SWAP, WANTD, WANTD1, WANTD2,
     $                   WANTP
      INTEGER            I, IERR, IJB, K, KASE, KK, KS, LIWMIN, LWMIN,
     $                   MN2, N1, N2
      DOUBLE PRECISION   DSCALE, DSUM, EPS, RDSCAL, SMLNUM
*     ..
*     .. External Subroutines ..
      EXTERNAL           DLACON, DLACPY, DLAG2, DLASSQ, DTGEXC, DTGSYL,
     $                   XERBLA
*     ..
*     .. External Functions ..
      DOUBLE PRECISION   DLAMCH
      EXTERNAL           DLAMCH
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          MAX, SIGN, SQRT
*     ..
*     .. Executable Statements ..
*
*     Decode and test the input parameters
*
      INFO = 0
      LQUERY = ( LWORK.EQ.-1 .OR. LIWORK.EQ.-1 )
*
      IF( IJOB.LT.0 .OR. IJOB.GT.5 ) THEN
         INFO = -1
      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( LDQ.LT.1 .OR. ( WANTQ .AND. LDQ.LT.N ) ) THEN
         INFO = -14
      ELSE IF( LDZ.LT.1 .OR. ( WANTZ .AND. LDZ.LT.N ) ) THEN
         INFO = -16
      END IF
*
      IF( INFO.NE.0 ) THEN
         CALL XERBLA( 'DTGSEN', -INFO )
         RETURN
      END IF
*
*     Get machine constants
*
      EPS = DLAMCH( 'P' )
      SMLNUM = DLAMCH( 'S' ) / EPS
      IERR = 0
*
      WANTP = IJOB.EQ.1 .OR. IJOB.GE.4
      WANTD1 = IJOB.EQ.2 .OR. IJOB.EQ.4
      WANTD2 = IJOB.EQ.3 .OR. IJOB.EQ.5
      WANTD = WANTD1 .OR. WANTD2
*
*     Set M to the dimension of the specified pair of deflating
*     subspaces.
*
      M = 0
      PAIR = .FALSE.
      DO 10 K = 1, N
         IF( PAIR ) THEN
            PAIR = .FALSE.
         ELSE
            IF( K.LT.N ) THEN
               IF( A( K+1, K ).EQ.ZERO ) THEN
                  IF( SELECT( K ) )
     $               M = M + 1
               ELSE
                  PAIR = .TRUE.
                  IF( SELECT( K ) .OR. SELECT( K+1 ) )
     $               M = M + 2
               END IF
            ELSE
               IF( SELECT( N ) )
     $            M = M + 1
            END IF
         END IF
   10 CONTINUE
*
      IF( IJOB.EQ.1 .OR. IJOB.EQ.2 .OR. IJOB.EQ.4 ) THEN
         LWMIN = MAX( 1, 4*N+16, 2*M*( N-M ) )
         LIWMIN = MAX( 1, N+6 )
      ELSE IF( IJOB.EQ.3 .OR. IJOB.EQ.5 ) THEN
         LWMIN = MAX( 1, 4*N+16, 4*M*( N-M ) )
         LIWMIN = MAX( 1, 2*M*( N-M ), N+6 )
      ELSE
         LWMIN = MAX( 1, 4*N+16 )
         LIWMIN = 1
      END IF
*
      WORK( 1 ) = LWMIN
      IWORK( 1 ) = LIWMIN
*
      IF( LWORK.LT.LWMIN .AND. .NOT.LQUERY ) THEN
         INFO = -22
      ELSE IF( LIWORK.LT.LIWMIN .AND. .NOT.LQUERY ) THEN
         INFO = -24
      END IF
*
      IF( INFO.NE.0 ) THEN
         CALL XERBLA( 'DTGSEN', -INFO )
         RETURN
      ELSE IF( LQUERY ) THEN
         RETURN
      END IF
*
*     Quick return if possible.
*
      IF( M.EQ.N .OR. M.EQ.0 ) THEN
         IF( WANTP ) THEN
            PL = ONE
            PR = ONE
         END IF
         IF( WANTD ) THEN
            DSCALE = ZERO
            DSUM = ONE
            DO 20 I = 1, N
               CALL DLASSQ( N, A( 1, I ), 1, DSCALE, DSUM )
               CALL DLASSQ( N, B( 1, I ), 1, DSCALE, DSUM )
   20       CONTINUE
            DIF( 1 ) = DSCALE*SQRT( DSUM )
            DIF( 2 ) = DIF( 1 )
         END IF
         GO TO 60
      END IF
*
*     Collect the selected blocks at the top-left corner of (A, B).
*
      KS = 0
      PAIR = .FALSE.
      DO 30 K = 1, N
         IF( PAIR ) THEN
            PAIR = .FALSE.
         ELSE
*
            SWAP = SELECT( K )
            IF( K.LT.N ) THEN
               IF( A( K+1, K ).NE.ZERO ) THEN
                  PAIR = .TRUE.
                  SWAP = SWAP .OR. SELECT( K+1 )
               END IF
            END IF
*
            IF( SWAP ) THEN
               KS = KS + 1
*
*              Swap the K-th block to position KS.
*              Perform the reordering of diagonal blocks in (A, B)
*              by orthogonal transformation matrices and update
*              Q and Z accordingly (if requested):
*
               KK = K
               IF( K.NE.KS )
     $            CALL DTGEXC( WANTQ, WANTZ, N, A, LDA, B, LDB, Q, LDQ,
     $                         Z, LDZ, KK, KS, WORK, LWORK, IERR )
*
               IF( IERR.GT.0 ) THEN
*
*                 Swap is rejected: exit.
*
                  INFO = 1
                  IF( WANTP ) THEN
                     PL = ZERO
                     PR = ZERO
                  END IF
                  IF( WANTD ) THEN
                     DIF( 1 ) = ZERO
                     DIF( 2 ) = ZERO
                  END IF
                  GO TO 60
               END IF
*
               IF( PAIR )
     $            KS = KS + 1
            END IF
         END IF
   30 CONTINUE
      IF( WANTP ) THEN
*
*        Solve generalized Sylvester equation for R and L
*        and compute PL and PR.
*
         N1 = M
         N2 = N - M
         I = N1 + 1
         IJB = 0
         CALL DLACPY( 'Full', N1, N2, A( 1, I ), LDA, WORK, N1 )
         CALL DLACPY( 'Full', N1, N2, B( 1, I ), LDB, WORK( N1*N2+1 ),
     $                N1 )
         CALL DTGSYL( 'N', IJB, N1, N2, A, LDA, A( I, I ), LDA, WORK,
     $                N1, B, LDB, B( I, I ), LDB, WORK( N1*N2+1 ), N1,
     $                DSCALE, DIF( 1 ), WORK( N1*N2*2+1 ),
     $                LWORK-2*N1*N2, IWORK, IERR )
*
*        Estimate the reciprocal of norms of "projections" onto left
*        and right eigenspaces.
*
         RDSCAL = ZERO
         DSUM = ONE
         CALL DLASSQ( N1*N2, WORK, 1, RDSCAL, DSUM )
         PL = RDSCAL*SQRT( DSUM )
         IF( PL.EQ.ZERO ) THEN
            PL = ONE
         ELSE
            PL = DSCALE / ( SQRT( DSCALE*DSCALE / PL+PL )*SQRT( PL ) )
         END IF
         RDSCAL = ZERO
         DSUM = ONE
         CALL DLASSQ( N1*N2, WORK( N1*N2+1 ), 1, RDSCAL, DSUM )
         PR = RDSCAL*SQRT( DSUM )
         IF( PR.EQ.ZERO ) THEN
            PR = ONE
         ELSE
            PR = DSCALE / ( SQRT( DSCALE*DSCALE / PR+PR )*SQRT( PR ) )
         END IF
      END IF
*
      IF( WANTD ) THEN
*
*        Compute estimates of Difu and Difl.
*
         IF( WANTD1 ) THEN
            N1 = M
            N2 = N - M
            I = N1 + 1
            IJB = IDIFJB
*
*           Frobenius norm-based Difu-estimate.
*
            CALL DTGSYL( 'N', IJB, N1, N2, A, LDA, A( I, I ), LDA, WORK,
     $                   N1, B, LDB, B( I, I ), LDB, WORK( N1*N2+1 ),
     $                   N1, DSCALE, DIF( 1 ), WORK( 2*N1*N2+1 ),
     $                   LWORK-2*N1*N2, IWORK, IERR )
*
*           Frobenius norm-based Difl-estimate.
*
            CALL DTGSYL( 'N', IJB, N2, N1, A( I, I ), LDA, A, LDA, WORK,
     $                   N2, B( I, I ), LDB, B, LDB, WORK( N1*N2+1 ),
     $                   N2, DSCALE, DIF( 2 ), WORK( 2*N1*N2+1 ),
     $                   LWORK-2*N1*N2, IWORK, IERR )
         ELSE
*
*
*           Compute 1-norm-based estimates of Difu and Difl using
*           reversed communication with DLACON. In each step a
*           generalized Sylvester equation or a transposed variant
*           is solved.
*
            KASE = 0
            N1 = M
            N2 = N - M
            I = N1 + 1
            IJB = 0
            MN2 = 2*N1*N2
*
*           1-norm-based estimate of Difu.
*
   40       CONTINUE
            CALL DLACON( MN2, WORK( MN2+1 ), WORK, IWORK, DIF( 1 ),
     $                   KASE )
            IF( KASE.NE.0 ) THEN
               IF( KASE.EQ.1 ) THEN
*
*                 Solve generalized Sylvester equation.
*
                  CALL DTGSYL( 'N', IJB, N1, N2, A, LDA, A( I, I ), LDA,
     $                         WORK, N1, B, LDB, B( I, I ), LDB,
     $                         WORK( N1*N2+1 ), N1, DSCALE, DIF( 1 ),
     $                         WORK( 2*N1*N2+1 ), LWORK-2*N1*N2, IWORK,
     $                         IERR )
               ELSE
*
*                 Solve the transposed variant.
*
                  CALL DTGSYL( 'T', IJB, N1, N2, A, LDA, A( I, I ), LDA,
     $                         WORK, N1, B, LDB, B( I, I ), LDB,
     $                         WORK( N1*N2+1 ), N1, DSCALE, DIF( 1 ),
     $                         WORK( 2*N1*N2+1 ), LWORK-2*N1*N2, IWORK,
     $                         IERR )
               END IF
               GO TO 40
            END IF
            DIF( 1 ) = DSCALE / DIF( 1 )
*
*           1-norm-based estimate of Difl.
*
   50       CONTINUE
            CALL DLACON( MN2, WORK( MN2+1 ), WORK, IWORK, DIF( 2 ),
     $                   KASE )
            IF( KASE.NE.0 ) THEN
               IF( KASE.EQ.1 ) THEN
*
*                 Solve generalized Sylvester equation.
*
                  CALL DTGSYL( 'N', IJB, N2, N1, A( I, I ), LDA, A, LDA,
     $                         WORK, N2, B( I, I ), LDB, B, LDB,
     $                         WORK( N1*N2+1 ), N2, DSCALE, DIF( 2 ),
     $                         WORK( 2*N1*N2+1 ), LWORK-2*N1*N2, IWORK,
     $                         IERR )
               ELSE
*
*                 Solve the transposed variant.
*
                  CALL DTGSYL( 'T', IJB, N2, N1, A( I, I ), LDA, A, LDA,
     $                         WORK, N2, B( I, I ), LDB, B, LDB,
     $                         WORK( N1*N2+1 ), N2, DSCALE, DIF( 2 ),
     $                         WORK( 2*N1*N2+1 ), LWORK-2*N1*N2, IWORK,
     $                         IERR )
               END IF
               GO TO 50
            END IF
            DIF( 2 ) = DSCALE / DIF( 2 )
*
         END IF
      END IF
*
   60 CONTINUE
*
*     Compute generalized eigenvalues of reordered pair (A, B) and
*     normalize the generalized Schur form.
*
      PAIR = .FALSE.
      DO 80 K = 1, N
         IF( PAIR ) THEN
            PAIR = .FALSE.
         ELSE
*
            IF( K.LT.N ) THEN
               IF( A( K+1, K ).NE.ZERO ) THEN
                  PAIR = .TRUE.
               END IF
            END IF
*
            IF( PAIR ) THEN
*
*             Compute the eigenvalue(s) at position K.
*
               WORK( 1 ) = A( K, K )
               WORK( 2 ) = A( K+1, K )
               WORK( 3 ) = A( K, K+1 )
               WORK( 4 ) = A( K+1, K+1 )
               WORK( 5 ) = B( K, K )
               WORK( 6 ) = B( K+1, K )
               WORK( 7 ) = B( K, K+1 )
               WORK( 8 ) = B( K+1, K+1 )
               CALL DLAG2( WORK, 2, WORK( 5 ), 2, SMLNUM*EPS, BETA( K ),
     $                     BETA( K+1 ), ALPHAR( K ), ALPHAR( K+1 ),
     $                     ALPHAI( K ) )
               ALPHAI( K+1 ) = -ALPHAI( K )
*
            ELSE
*
               IF( SIGN( ONE, B( K, K ) ).LT.ZERO ) THEN
*
*                 If B(K,K) is negative, make it positive
*
                  DO 70 I = 1, N
                     A( K, I ) = -A( K, I )
                     B( K, I ) = -B( K, I )
                     Q( I, K ) = -Q( I, K )
   70             CONTINUE
               END IF
*
               ALPHAR( K ) = A( K, K )
               ALPHAI( K ) = ZERO
               BETA( K ) = B( K, K )
*
            END IF
         END IF
   80 CONTINUE
*
      WORK( 1 ) = LWMIN
      IWORK( 1 ) = LIWMIN
*
      RETURN
*
*     End of DTGSEN
*
      END
