sbdt01.f

Go to the documentation of this file.

*> \brief \b SBDT01
*
*  =========== DOCUMENTATION ===========
*
* Online html documentation available at 
*            http://www.netlib.org/lapack/explore-html/ 
*
*  Definition:
*  ===========
*
*       SUBROUTINE SBDT01( M, N, KD, A, LDA, Q, LDQ, D, E, PT, LDPT, WORK,
*                          RESID )
* 
*       .. Scalar Arguments ..
*       INTEGER            KD, LDA, LDPT, LDQ, M, N
*       REAL               RESID
*       ..
*       .. Array Arguments ..
*       REAL               A( LDA, * ), D( * ), E( * ), PT( LDPT, * ),
*      $                   Q( LDQ, * ), WORK( * )
*       ..
*  
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> SBDT01 reconstructs a general matrix A from its bidiagonal form
*>    A = Q * B * P'
*> where Q (m by min(m,n)) and P' (min(m,n) by n) are orthogonal
*> matrices and B is bidiagonal.
*>
*> The test ratio to test the reduction is
*>    RESID = norm( A - Q * B * PT ) / ( n * norm(A) * EPS )
*> where PT = P' and EPS is the machine precision.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] M
*> \verbatim
*>          M is INTEGER
*>          The number of rows of the matrices A and Q.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*>          N is INTEGER
*>          The number of columns of the matrices A and P'.
*> \endverbatim
*>
*> \param[in] KD
*> \verbatim
*>          KD is INTEGER
*>          If KD = 0, B is diagonal and the array E is not referenced.
*>          If KD = 1, the reduction was performed by xGEBRD; B is upper
*>          bidiagonal if M >= N, and lower bidiagonal if M < N.
*>          If KD = -1, the reduction was performed by xGBBRD; B is
*>          always upper bidiagonal.
*> \endverbatim
*>
*> \param[in] A
*> \verbatim
*>          A is REAL array, dimension (LDA,N)
*>          The m by n matrix A.
*> \endverbatim
*>
*> \param[in] LDA
*> \verbatim
*>          LDA is INTEGER
*>          The leading dimension of the array A.  LDA >= max(1,M).
*> \endverbatim
*>
*> \param[in] Q
*> \verbatim
*>          Q is REAL array, dimension (LDQ,N)
*>          The m by min(m,n) orthogonal matrix Q in the reduction
*>          A = Q * B * P'.
*> \endverbatim
*>
*> \param[in] LDQ
*> \verbatim
*>          LDQ is INTEGER
*>          The leading dimension of the array Q.  LDQ >= max(1,M).
*> \endverbatim
*>
*> \param[in] D
*> \verbatim
*>          D is REAL array, dimension (min(M,N))
*>          The diagonal elements of the bidiagonal matrix B.
*> \endverbatim
*>
*> \param[in] E
*> \verbatim
*>          E is REAL array, dimension (min(M,N)-1)
*>          The superdiagonal elements of the bidiagonal matrix B if
*>          m >= n, or the subdiagonal elements of B if m < n.
*> \endverbatim
*>
*> \param[in] PT
*> \verbatim
*>          PT is REAL array, dimension (LDPT,N)
*>          The min(m,n) by n orthogonal matrix P' in the reduction
*>          A = Q * B * P'.
*> \endverbatim
*>
*> \param[in] LDPT
*> \verbatim
*>          LDPT is INTEGER
*>          The leading dimension of the array PT.
*>          LDPT >= max(1,min(M,N)).
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*>          WORK is REAL array, dimension (M+N)
*> \endverbatim
*>
*> \param[out] RESID
*> \verbatim
*>          RESID is REAL
*>          The test ratio:  norm(A - Q * B * P') / ( n * norm(A) * EPS )
*> \endverbatim
*
*  Authors:
*  ========
*
*> \author Univ. of Tennessee 
*> \author Univ. of California Berkeley 
*> \author Univ. of Colorado Denver 
*> \author NAG Ltd. 
*
*> \date November 2011
*
*> \ingroup single_eig
*
*  =====================================================================
      SUBROUTINE sbdt01( M, N, KD, A, LDA, Q, LDQ, D, E, PT, LDPT, WORK,
     $                   resid )
*
*  -- LAPACK test routine (version 3.4.0) --
*  -- LAPACK is a software package provided by Univ. of Tennessee,    --
*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*     November 2011
*
*     .. Scalar Arguments ..
      INTEGER            KD, LDA, LDPT, LDQ, M, N
      REAL               RESID
*     ..
*     .. Array Arguments ..
      REAL               A( lda, * ), D( * ), E( * ), PT( ldpt, * ),
     $                   q( ldq, * ), work( * )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      REAL               ZERO, ONE
      parameter                ( zero = 0.0e+0, one = 1.0e+0 )
*     ..
*     .. Local Scalars ..
      INTEGER            I, J
      REAL               ANORM, EPS
*     ..
*     .. External Functions ..
      REAL               SASUM, SLAMCH, SLANGE
      EXTERNAL           sasum, slamch, slange
*     ..
*     .. External Subroutines ..
      EXTERNAL           scopy, sgemv
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          max, min, real
*     ..
*     .. Executable Statements ..
*
*     Quick return if possible
*
      IF( m.LE.0 .OR. n.LE.0 ) THEN
         resid = zero
         RETURN
      END IF
*
*     Compute A - Q * B * P' one column at a time.
*
      resid = zero
      IF( kd.NE.0 ) THEN
*
*        B is bidiagonal.
*
         IF( kd.NE.0 .AND. m.GE.n ) THEN
*
*           B is upper bidiagonal and M >= N.
*
            DO 20 j = 1, n
               CALL scopy( m, a( 1, j ), 1, work, 1 )
               DO 10 i = 1, n - 1
                  work( m+i ) = d( i )*pt( i, j ) + e( i )*pt( i+1, j )
   10          CONTINUE
               work( m+n ) = d( n )*pt( n, j )
               CALL sgemv( 'No transpose', m, n, -one, q, ldq,
     $                     work( m+1 ), 1, one, work, 1 )
               resid = max( resid, sasum( m, work, 1 ) )
   20       CONTINUE
         ELSE IF( kd.LT.0 ) THEN
*
*           B is upper bidiagonal and M < N.
*
            DO 40 j = 1, n
               CALL scopy( m, a( 1, j ), 1, work, 1 )
               DO 30 i = 1, m - 1
                  work( m+i ) = d( i )*pt( i, j ) + e( i )*pt( i+1, j )
   30          CONTINUE
               work( m+m ) = d( m )*pt( m, j )
               CALL sgemv( 'No transpose', m, m, -one, q, ldq,
     $                     work( m+1 ), 1, one, work, 1 )
               resid = max( resid, sasum( m, work, 1 ) )
   40       CONTINUE
         ELSE
*
*           B is lower bidiagonal.
*
            DO 60 j = 1, n
               CALL scopy( m, a( 1, j ), 1, work, 1 )
               work( m+1 ) = d( 1 )*pt( 1, j )
               DO 50 i = 2, m
                  work( m+i ) = e( i-1 )*pt( i-1, j ) +
     $                          d( i )*pt( i, j )
   50          CONTINUE
               CALL sgemv( 'No transpose', m, m, -one, q, ldq,
     $                     work( m+1 ), 1, one, work, 1 )
               resid = max( resid, sasum( m, work, 1 ) )
   60       CONTINUE
         END IF
      ELSE
*
*        B is diagonal.
*
         IF( m.GE.n ) THEN
            DO 80 j = 1, n
               CALL scopy( m, a( 1, j ), 1, work, 1 )
               DO 70 i = 1, n
                  work( m+i ) = d( i )*pt( i, j )
   70          CONTINUE
               CALL sgemv( 'No transpose', m, n, -one, q, ldq,
     $                     work( m+1 ), 1, one, work, 1 )
               resid = max( resid, sasum( m, work, 1 ) )
   80       CONTINUE
         ELSE
            DO 100 j = 1, n
               CALL scopy( m, a( 1, j ), 1, work, 1 )
               DO 90 i = 1, m
                  work( m+i ) = d( i )*pt( i, j )
   90          CONTINUE
               CALL sgemv( 'No transpose', m, m, -one, q, ldq,
     $                     work( m+1 ), 1, one, work, 1 )
               resid = max( resid, sasum( m, work, 1 ) )
  100       CONTINUE
         END IF
      END IF
*
*     Compute norm(A - Q * B * P') / ( n * norm(A) * EPS )
*
      anorm = slange( '1', m, n, a, lda, work )
      eps = slamch( 'Precision' )
*
      IF( anorm.LE.zero ) THEN
         IF( resid.NE.zero )
     $      resid = one / eps
      ELSE
         IF( anorm.GE.resid ) THEN
            resid = ( resid / anorm ) / ( REAL( n )*EPS )
         ELSE
            IF( anorm.LT.one ) THEN
               resid = ( min( resid, REAL( n )*ANORM ) / anorm ) /
     $                 ( REAL( n )*EPS )
            ELSE
               resid = min( resid / anorm, REAL( N ) ) /
     $                 ( REAL( n )*EPS )
            END IF
         END IF
      END IF
*
      RETURN
*
*     End of SBDT01
*
      END