      SUBROUTINE DGEBRD( M, N, A, LDA, D, E, TAUQ, TAUP, WORK, LWORK,
     $                   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 ..
      INTEGER            INFO, LDA, LWORK, M, N
*     ..
*     .. Array Arguments ..
      DOUBLE PRECISION   A( LDA, * ), D( * ), E( * ), TAUP( * ),
     $                   TAUQ( * ), WORK( * )
*     ..
*
*  Purpose
*  =======
*
*  DGEBRD reduces a general real M-by-N matrix A to upper or lower
*  bidiagonal form B by an orthogonal transformation: Q**T * A * P = B.
*
*  If m >= n, B is upper bidiagonal; if m < n, B is lower bidiagonal.
*
*  Arguments
*  =========
*
*  M       (input) INTEGER
*          The number of rows in the matrix A.  M >= 0.
*
*  N       (input) INTEGER
*          The number of columns in the matrix A.  N >= 0.
*
*  A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
*          On entry, the M-by-N general matrix to be reduced.
*          On exit,
*          if m >= n, the diagonal and the first superdiagonal are
*            overwritten with the upper bidiagonal matrix B; the
*            elements below the diagonal, with the array TAUQ, represent
*            the orthogonal matrix Q as a product of elementary
*            reflectors, and the elements above the first superdiagonal,
*            with the array TAUP, represent the orthogonal matrix P as
*            a product of elementary reflectors;
*          if m < n, the diagonal and the first subdiagonal are
*            overwritten with the lower bidiagonal matrix B; the
*            elements below the first subdiagonal, with the array TAUQ,
*            represent the orthogonal matrix Q as a product of
*            elementary reflectors, and the elements above the diagonal,
*            with the array TAUP, represent the orthogonal matrix P as
*            a product of elementary reflectors.
*          See Further Details.
*
*  LDA     (input) INTEGER
*          The leading dimension of the array A.  LDA >= max(1,M).
*
*  D       (output) DOUBLE PRECISION array, dimension (min(M,N))
*          The diagonal elements of the bidiagonal matrix B:
*          D(i) = A(i,i).
*
*  E       (output) DOUBLE PRECISION array, dimension (min(M,N)-1)
*          The off-diagonal elements of the bidiagonal matrix B:
*          if m >= n, E(i) = A(i,i+1) for i = 1,2,...,n-1;
*          if m < n, E(i) = A(i+1,i) for i = 1,2,...,m-1.
*
*  TAUQ    (output) DOUBLE PRECISION array dimension (min(M,N))
*          The scalar factors of the elementary reflectors which
*          represent the orthogonal matrix Q. See Further Details.
*
*  TAUP    (output) DOUBLE PRECISION array, dimension (min(M,N))
*          The scalar factors of the elementary reflectors which
*          represent the orthogonal matrix P. See Further Details.
*
*  WORK    (workspace/output) DOUBLE PRECISION array, dimension (LWORK)
*          On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
*
*  LWORK   (input) INTEGER
*          The length of the array WORK.  LWORK >= max(1,M,N).
*          For optimum performance LWORK >= (M+N)*NB, where NB
*          is the optimal blocksize.
*
*          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 illegal value.
*
*  Further Details
*  ===============
*
*  The matrices Q and P are represented as products of elementary
*  reflectors:
*
*  If m >= n,
*
*     Q = H(1) H(2) . . . H(n)  and  P = G(1) G(2) . . . G(n-1)
*
*  Each H(i) and G(i) has the form:
*
*     H(i) = I - tauq * v * v'  and G(i) = I - taup * u * u'
*
*  where tauq and taup are real scalars, and v and u are real vectors;
*  v(1:i-1) = 0, v(i) = 1, and v(i+1:m) is stored on exit in A(i+1:m,i);
*  u(1:i) = 0, u(i+1) = 1, and u(i+2:n) is stored on exit in A(i,i+2:n);
*  tauq is stored in TAUQ(i) and taup in TAUP(i).
*
*  If m < n,
*
*     Q = H(1) H(2) . . . H(m-1)  and  P = G(1) G(2) . . . G(m)
*
*  Each H(i) and G(i) has the form:
*
*     H(i) = I - tauq * v * v'  and G(i) = I - taup * u * u'
*
*  where tauq and taup are real scalars, and v and u are real vectors;
*  v(1:i) = 0, v(i+1) = 1, and v(i+2:m) is stored on exit in A(i+2:m,i);
*  u(1:i-1) = 0, u(i) = 1, and u(i+1:n) is stored on exit in A(i,i+1:n);
*  tauq is stored in TAUQ(i) and taup in TAUP(i).
*
*  The contents of A on exit are illustrated by the following examples:
*
*  m = 6 and n = 5 (m > n):          m = 5 and n = 6 (m < n):
*
*    (  d   e   u1  u1  u1 )           (  d   u1  u1  u1  u1  u1 )
*    (  v1  d   e   u2  u2 )           (  e   d   u2  u2  u2  u2 )
*    (  v1  v2  d   e   u3 )           (  v1  e   d   u3  u3  u3 )
*    (  v1  v2  v3  d   e  )           (  v1  v2  e   d   u4  u4 )
*    (  v1  v2  v3  v4  d  )           (  v1  v2  v3  e   d   u5 )
*    (  v1  v2  v3  v4  v5 )
*
*  where d and e denote diagonal and off-diagonal elements of B, vi
*  denotes an element of the vector defining H(i), and ui an element of
*  the vector defining G(i).
*
*  =====================================================================
*
*     .. Parameters ..
      DOUBLE PRECISION   ONE
      PARAMETER          ( ONE = 1.0D+0 )
*     ..
*     .. Local Scalars ..
      LOGICAL            LQUERY
      INTEGER            I, IINFO, J, LDWRKX, LDWRKY, LWKOPT, MINMN, NB,
     $                   NBMIN, NX
      DOUBLE PRECISION   WS
*     ..
*     .. External Subroutines ..
      EXTERNAL           DGEBD2, DGEMM, DLABRD, XERBLA
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          DBLE, MAX, MIN
*     ..
*     .. External Functions ..
      INTEGER            ILAENV
      EXTERNAL           ILAENV
*     ..
*     .. Executable Statements ..
*
*     Test the input parameters
*
      INFO = 0
      NB = MAX( 1, ILAENV( 1, 'DGEBRD', ' ', M, N, -1, -1 ) )
      LWKOPT = ( M+N )*NB
      WORK( 1 ) = DBLE( LWKOPT )
      LQUERY = ( LWORK.EQ.-1 )
      IF( M.LT.0 ) THEN
         INFO = -1
      ELSE IF( N.LT.0 ) THEN
         INFO = -2
      ELSE IF( LDA.LT.MAX( 1, M ) ) THEN
         INFO = -4
      ELSE IF( LWORK.LT.MAX( 1, M, N ) .AND. .NOT.LQUERY ) THEN
         INFO = -10
      END IF
      IF( INFO.LT.0 ) THEN
         CALL XERBLA( 'DGEBRD', -INFO )
         RETURN
      ELSE IF( LQUERY ) THEN
         RETURN
      END IF
*
*     Quick return if possible
*
      MINMN = MIN( M, N )
      IF( MINMN.EQ.0 ) THEN
         WORK( 1 ) = 1
         RETURN
      END IF
*
      WS = MAX( M, N )
      LDWRKX = M
      LDWRKY = N
*
      IF( NB.GT.1 .AND. NB.LT.MINMN ) THEN
*
*        Set the crossover point NX.
*
         NX = MAX( NB, ILAENV( 3, 'DGEBRD', ' ', M, N, -1, -1 ) )
*
*        Determine when to switch from blocked to unblocked code.
*
         IF( NX.LT.MINMN ) THEN
            WS = ( M+N )*NB
            IF( LWORK.LT.WS ) THEN
*
*              Not enough work space for the optimal NB, consider using
*              a smaller block size.
*
               NBMIN = ILAENV( 2, 'DGEBRD', ' ', M, N, -1, -1 )
               IF( LWORK.GE.( M+N )*NBMIN ) THEN
                  NB = LWORK / ( M+N )
               ELSE
                  NB = 1
                  NX = MINMN
               END IF
            END IF
         END IF
      ELSE
         NX = MINMN
      END IF
*
      DO 30 I = 1, MINMN - NX, NB
*
*        Reduce rows and columns i:i+nb-1 to bidiagonal form and return
*        the matrices X and Y which are needed to update the unreduced
*        part of the matrix
*
         CALL DLABRD( M-I+1, N-I+1, NB, A( I, I ), LDA, D( I ), E( I ),
     $                TAUQ( I ), TAUP( I ), WORK, LDWRKX,
     $                WORK( LDWRKX*NB+1 ), LDWRKY )
*
*        Update the trailing submatrix A(i+nb:m,i+nb:n), using an update
*        of the form  A := A - V*Y' - X*U'
*
         CALL DGEMM( 'No transpose', 'Transpose', M-I-NB+1, N-I-NB+1,
     $               NB, -ONE, A( I+NB, I ), LDA,
     $               WORK( LDWRKX*NB+NB+1 ), LDWRKY, ONE,
     $               A( I+NB, I+NB ), LDA )
         CALL DGEMM( 'No transpose', 'No transpose', M-I-NB+1, N-I-NB+1,
     $               NB, -ONE, WORK( NB+1 ), LDWRKX, A( I, I+NB ), LDA,
     $               ONE, A( I+NB, I+NB ), LDA )
*
*        Copy diagonal and off-diagonal elements of B back into A
*
         IF( M.GE.N ) THEN
            DO 10 J = I, I + NB - 1
               A( J, J ) = D( J )
               A( J, J+1 ) = E( J )
   10       CONTINUE
         ELSE
            DO 20 J = I, I + NB - 1
               A( J, J ) = D( J )
               A( J+1, J ) = E( J )
   20       CONTINUE
         END IF
   30 CONTINUE
*
*     Use unblocked code to reduce the remainder of the matrix
*
      CALL DGEBD2( M-I+1, N-I+1, A( I, I ), LDA, D( I ), E( I ),
     $             TAUQ( I ), TAUP( I ), WORK, IINFO )
      WORK( 1 ) = WS
      RETURN
*
*     End of DGEBRD
*
      END
