sbdt02.f

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*> \brief \b SBDT02
*
*  =========== DOCUMENTATION ===========
*
* Online html documentation available at 
*            http://www.netlib.org/lapack/explore-html/ 
*
*  Definition:
*  ===========
*
*       SUBROUTINE SBDT02( M, N, B, LDB, C, LDC, U, LDU, WORK, RESID )
* 
*       .. Scalar Arguments ..
*       INTEGER            LDB, LDC, LDU, M, N
*       REAL               RESID
*       ..
*       .. Array Arguments ..
*       REAL               B( LDB, * ), C( LDC, * ), U( LDU, * ),
*      $                   WORK( * )
*       ..
*  
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> SBDT02 tests the change of basis C = U' * B by computing the residual
*>
*>    RESID = norm( B - U * C ) / ( max(m,n) * norm(B) * EPS ),
*>
*> where B and C are M by N matrices, U is an M by M orthogonal matrix,
*> and EPS is the machine precision.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] M
*> \verbatim
*>          M is INTEGER
*>          The number of rows of the matrices B and C and the order of
*>          the matrix Q.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*>          N is INTEGER
*>          The number of columns of the matrices B and C.
*> \endverbatim
*>
*> \param[in] B
*> \verbatim
*>          B is REAL array, dimension (LDB,N)
*>          The m by n matrix B.
*> \endverbatim
*>
*> \param[in] LDB
*> \verbatim
*>          LDB is INTEGER
*>          The leading dimension of the array B.  LDB >= max(1,M).
*> \endverbatim
*>
*> \param[in] C
*> \verbatim
*>          C is REAL array, dimension (LDC,N)
*>          The m by n matrix C, assumed to contain U' * B.
*> \endverbatim
*>
*> \param[in] LDC
*> \verbatim
*>          LDC is INTEGER
*>          The leading dimension of the array C.  LDC >= max(1,M).
*> \endverbatim
*>
*> \param[in] U
*> \verbatim
*>          U is REAL array, dimension (LDU,M)
*>          The m by m orthogonal matrix U.
*> \endverbatim
*>
*> \param[in] LDU
*> \verbatim
*>          LDU is INTEGER
*>          The leading dimension of the array U.  LDU >= max(1,M).
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*>          WORK is REAL array, dimension (M)
*> \endverbatim
*>
*> \param[out] RESID
*> \verbatim
*>          RESID is REAL
*>          RESID = norm( B - U * C ) / ( max(m,n) * norm(B) * 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 sbdt02( M, N, B, LDB, C, LDC, U, LDU, 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            ldb, ldc, ldu, m, n
      REAL               resid
*     ..
*     .. Array Arguments ..
      REAL               b( ldb, * ), c( ldc, * ), u( ldu, * ),
     $                   work( * )
*     ..
*
* ======================================================================
*
*     .. Parameters ..
      REAL               zero, one
      parameter( zero = 0.0e+0, one = 1.0e+0 )
*     ..
*     .. Local Scalars ..
      INTEGER            j
      REAL               bnorm, eps, realmn
*     ..
*     .. 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
*
      resid = zero
      IF( m.LE.0 .OR. n.LE.0 )
     $   return
      realmn = REAL( MAX( M, N ) )
      eps = slamch( 'Precision' )
*
*     Compute norm( B - U * C )
*
      DO 10 j = 1, n
         CALL scopy( m, b( 1, j ), 1, work, 1 )
         CALL sgemv( 'No transpose', m, m, -one, u, ldu, c( 1, j ), 1,
     $               one, work, 1 )
         resid = max( resid, sasum( m, work, 1 ) )
   10 continue
*
*     Compute norm of B.
*
      bnorm = slange( '1', m, n, b, ldb, work )
*
      IF( bnorm.LE.zero ) THEN
         IF( resid.NE.zero )
     $      resid = one / eps
      ELSE
         IF( bnorm.GE.resid ) THEN
            resid = ( resid / bnorm ) / ( realmn*eps )
         ELSE
            IF( bnorm.LT.one ) THEN
               resid = ( min( resid, realmn*bnorm ) / bnorm ) /
     $                 ( realmn*eps )
            ELSE
               resid = min( resid / bnorm, realmn ) / ( realmn*eps )
            END IF
         END IF
      END IF
      return
*
*     End of SBDT02
*
      END