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*> \brief \b DRQT02
*
* =========== DOCUMENTATION ===========
*
* Online html documentation available at
* http://www.netlib.org/lapack/explore-html/
*
* Definition:
* ===========
*
* SUBROUTINE DRQT02( M, N, K, A, AF, Q, R, LDA, TAU, WORK, LWORK,
* RWORK, RESULT )
*
* .. Scalar Arguments ..
* INTEGER K, LDA, LWORK, M, N
* ..
* .. Array Arguments ..
* DOUBLE PRECISION A( LDA, * ), AF( LDA, * ), Q( LDA, * ),
* $ R( LDA, * ), RESULT( * ), RWORK( * ), TAU( * ),
* $ WORK( LWORK )
* ..
*
*
*> \par Purpose:
* =============
*>
*> \verbatim
*>
*> DRQT02 tests DORGRQ, which generates an m-by-n matrix Q with
*> orthonormal rows that is defined as the product of k elementary
*> reflectors.
*>
*> Given the RQ factorization of an m-by-n matrix A, DRQT02 generates
*> the orthogonal matrix Q defined by the factorization of the last k
*> rows of A; it compares R(m-k+1:m,n-m+1:n) with
*> A(m-k+1:m,1:n)*Q(n-m+1:n,1:n)', and checks that the rows of Q are
*> orthonormal.
*> \endverbatim
*
* Arguments:
* ==========
*
*> \param[in] M
*> \verbatim
*> M is INTEGER
*> The number of rows of the matrix Q to be generated. M >= 0.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*> N is INTEGER
*> The number of columns of the matrix Q to be generated.
*> N >= M >= 0.
*> \endverbatim
*>
*> \param[in] K
*> \verbatim
*> K is INTEGER
*> The number of elementary reflectors whose product defines the
*> matrix Q. M >= K >= 0.
*> \endverbatim
*>
*> \param[in] A
*> \verbatim
*> A is DOUBLE PRECISION array, dimension (LDA,N)
*> The m-by-n matrix A which was factorized by DRQT01.
*> \endverbatim
*>
*> \param[in] AF
*> \verbatim
*> AF is DOUBLE PRECISION array, dimension (LDA,N)
*> Details of the RQ factorization of A, as returned by DGERQF.
*> See DGERQF for further details.
*> \endverbatim
*>
*> \param[out] Q
*> \verbatim
*> Q is DOUBLE PRECISION array, dimension (LDA,N)
*> \endverbatim
*>
*> \param[out] R
*> \verbatim
*> R is DOUBLE PRECISION array, dimension (LDA,M)
*> \endverbatim
*>
*> \param[in] LDA
*> \verbatim
*> LDA is INTEGER
*> The leading dimension of the arrays A, AF, Q and L. LDA >= N.
*> \endverbatim
*>
*> \param[in] TAU
*> \verbatim
*> TAU is DOUBLE PRECISION array, dimension (M)
*> The scalar factors of the elementary reflectors corresponding
*> to the RQ factorization in AF.
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*> WORK is DOUBLE PRECISION array, dimension (LWORK)
*> \endverbatim
*>
*> \param[in] LWORK
*> \verbatim
*> LWORK is INTEGER
*> The dimension of the array WORK.
*> \endverbatim
*>
*> \param[out] RWORK
*> \verbatim
*> RWORK is DOUBLE PRECISION array, dimension (M)
*> \endverbatim
*>
*> \param[out] RESULT
*> \verbatim
*> RESULT is DOUBLE PRECISION array, dimension (2)
*> The test ratios:
*> RESULT(1) = norm( R - A*Q' ) / ( N * norm(A) * EPS )
*> RESULT(2) = norm( I - Q*Q' ) / ( N * EPS )
*> \endverbatim
*
* Authors:
* ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \ingroup double_lin
*
* =====================================================================
SUBROUTINE DRQT02( M, N, K, A, AF, Q, R, LDA, TAU, WORK, LWORK,
$ RWORK, RESULT )
*
* -- LAPACK test routine --
* -- LAPACK is a software package provided by Univ. of Tennessee, --
* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*
* .. Scalar Arguments ..
INTEGER K, LDA, LWORK, M, N
* ..
* .. Array Arguments ..
DOUBLE PRECISION A( LDA, * ), AF( LDA, * ), Q( LDA, * ),
$ R( LDA, * ), RESULT( * ), RWORK( * ), TAU( * ),
$ WORK( LWORK )
* ..
*
* =====================================================================
*
* .. Parameters ..
DOUBLE PRECISION ZERO, ONE
PARAMETER ( ZERO = 0.0D+0, ONE = 1.0D+0 )
DOUBLE PRECISION ROGUE
PARAMETER ( ROGUE = -1.0D+10 )
* ..
* .. Local Scalars ..
INTEGER INFO
DOUBLE PRECISION ANORM, EPS, RESID
* ..
* .. External Functions ..
DOUBLE PRECISION DLAMCH, DLANGE, DLANSY
EXTERNAL DLAMCH, DLANGE, DLANSY
* ..
* .. External Subroutines ..
EXTERNAL DGEMM, DLACPY, DLASET, DORGRQ, DSYRK
* ..
* .. Intrinsic Functions ..
INTRINSIC DBLE, MAX
* ..
* .. Scalars in Common ..
CHARACTER*32 SRNAMT
* ..
* .. Common blocks ..
COMMON / SRNAMC / SRNAMT
* ..
* .. Executable Statements ..
*
* Quick return if possible
*
IF( M.EQ.0 .OR. N.EQ.0 .OR. K.EQ.0 ) THEN
RESULT( 1 ) = ZERO
RESULT( 2 ) = ZERO
RETURN
END IF
*
EPS = DLAMCH( 'Epsilon' )
*
* Copy the last k rows of the factorization to the array Q
*
CALL DLASET( 'Full', M, N, ROGUE, ROGUE, Q, LDA )
IF( K.LT.N )
$ CALL DLACPY( 'Full', K, N-K, AF( M-K+1, 1 ), LDA,
$ Q( M-K+1, 1 ), LDA )
IF( K.GT.1 )
$ CALL DLACPY( 'Lower', K-1, K-1, AF( M-K+2, N-K+1 ), LDA,
$ Q( M-K+2, N-K+1 ), LDA )
*
* Generate the last n rows of the matrix Q
*
SRNAMT = 'DORGRQ'
CALL DORGRQ( M, N, K, Q, LDA, TAU( M-K+1 ), WORK, LWORK, INFO )
*
* Copy R(m-k+1:m,n-m+1:n)
*
CALL DLASET( 'Full', K, M, ZERO, ZERO, R( M-K+1, N-M+1 ), LDA )
CALL DLACPY( 'Upper', K, K, AF( M-K+1, N-K+1 ), LDA,
$ R( M-K+1, N-K+1 ), LDA )
*
* Compute R(m-k+1:m,n-m+1:n) - A(m-k+1:m,1:n) * Q(n-m+1:n,1:n)'
*
CALL DGEMM( 'No transpose', 'Transpose', K, M, N, -ONE,
$ A( M-K+1, 1 ), LDA, Q, LDA, ONE, R( M-K+1, N-M+1 ),
$ LDA )
*
* Compute norm( R - A*Q' ) / ( N * norm(A) * EPS ) .
*
ANORM = DLANGE( '1', K, N, A( M-K+1, 1 ), LDA, RWORK )
RESID = DLANGE( '1', K, M, R( M-K+1, N-M+1 ), LDA, RWORK )
IF( ANORM.GT.ZERO ) THEN
RESULT( 1 ) = ( ( RESID / DBLE( MAX( 1, N ) ) ) / ANORM ) / EPS
ELSE
RESULT( 1 ) = ZERO
END IF
*
* Compute I - Q*Q'
*
CALL DLASET( 'Full', M, M, ZERO, ONE, R, LDA )
CALL DSYRK( 'Upper', 'No transpose', M, N, -ONE, Q, LDA, ONE, R,
$ LDA )
*
* Compute norm( I - Q*Q' ) / ( N * EPS ) .
*
RESID = DLANSY( '1', 'Upper', M, R, LDA, RWORK )
*
RESULT( 2 ) = ( RESID / DBLE( MAX( 1, N ) ) ) / EPS
*
RETURN
*
* End of DRQT02
*
END
|
