slqt01()

subroutine slqt01	(	integer	M,
		integer	N,
		real, dimension( lda, * )	A,
		real, dimension( lda, * )	AF,
		real, dimension( lda, * )	Q,
		real, dimension( lda, * )	L,
		integer	LDA,
		real, dimension( * )	TAU,
		real, dimension( lwork )	WORK,
		integer	LWORK,
		real, dimension( * )	RWORK,
		real, dimension( * )	RESULT
	)

SLQT01

Purpose:

 SLQT01 tests SGELQF, which computes the LQ factorization of an m-by-n
 matrix A, and partially tests SORGLQ which forms the n-by-n
 orthogonal matrix Q.

 SLQT01 compares L with A*Q', and checks that Q is orthogonal.

Parameters

[in]	M	M is INTEGER The number of rows of the matrix A. M >= 0.
[in]	N	N is INTEGER The number of columns of the matrix A. N >= 0.
[in]	A	A is REAL array, dimension (LDA,N) The m-by-n matrix A.
[out]	AF	AF is REAL array, dimension (LDA,N) Details of the LQ factorization of A, as returned by SGELQF. See SGELQF for further details.
[out]	Q	Q is REAL array, dimension (LDA,N) The n-by-n orthogonal matrix Q.
[out]	L	L is REAL array, dimension (LDA,max(M,N))
[in]	LDA	LDA is INTEGER The leading dimension of the arrays A, AF, Q and L. LDA >= max(M,N).
[out]	TAU	TAU is REAL array, dimension (min(M,N)) The scalar factors of the elementary reflectors, as returned by SGELQF.
[out]	WORK	WORK is REAL array, dimension (LWORK)
[in]	LWORK	LWORK is INTEGER The dimension of the array WORK.
[out]	RWORK	RWORK is REAL array, dimension (max(M,N))
[out]	RESULT	RESULT is REAL array, dimension (2) The test ratios: RESULT(1) = norm( L - A*Q' ) / ( N * norm(A) * EPS ) RESULT(2) = norm( I - Q*Q' ) / ( N * EPS )

Author

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Date

December 2016

Definition at line 128 of file slqt01.f.

*
*  -- LAPACK test routine (version 3.7.0) --
*  -- LAPACK is a software package provided by Univ. of Tennessee,    --
*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*     December 2016
*
*     .. Scalar Arguments ..
      INTEGER            LDA, LWORK, M, N
*     ..
*     .. Array Arguments ..
      REAL               A( LDA, * ), AF( LDA, * ), L( LDA, * ),
     $                   Q( LDA, * ), RESULT( * ), RWORK( * ), TAU( * ),
     $                   WORK( LWORK )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      REAL               ZERO, ONE
      parameter( zero = 0.0e+0, one = 1.0e+0 )
      REAL               ROGUE
      parameter( rogue = -1.0e+10 )
*     ..
*     .. Local Scalars ..
      INTEGER            INFO, MINMN
      REAL               ANORM, EPS, RESID
*     ..
*     .. External Functions ..
      REAL               SLAMCH, SLANGE, SLANSY
      EXTERNAL           slamch, slange, slansy
*     ..
*     .. External Subroutines ..
      EXTERNAL           sgelqf, sgemm, slacpy, slaset, sorglq, ssyrk
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          max, min, real
*     ..
*     .. Scalars in Common ..
      CHARACTER*32       SRNAMT
*     ..
*     .. Common blocks ..
      COMMON             / srnamc / srnamt
*     ..
*     .. Executable Statements ..
*
      minmn = min( m, n )
      eps = slamch( 'Epsilon' )
*
*     Copy the matrix A to the array AF.
*
      CALL slacpy( 'Full', m, n, a, lda, af, lda )
*
*     Factorize the matrix A in the array AF.
*
      srnamt = 'SGELQF'
      CALL sgelqf( m, n, af, lda, tau, work, lwork, info )
*
*     Copy details of Q
*
      CALL slaset( 'Full', n, n, rogue, rogue, q, lda )
      IF( n.GT.1 )
     $   CALL slacpy( 'Upper', m, n-1, af( 1, 2 ), lda, q( 1, 2 ), lda )
*
*     Generate the n-by-n matrix Q
*
      srnamt = 'SORGLQ'
      CALL sorglq( n, n, minmn, q, lda, tau, work, lwork, info )
*
*     Copy L
*
      CALL slaset( 'Full', m, n, zero, zero, l, lda )
      CALL slacpy( 'Lower', m, n, af, lda, l, lda )
*
*     Compute L - A*Q'
*
      CALL sgemm( 'No transpose', 'Transpose', m, n, n, -one, a, lda, q,
     $            lda, one, l, lda )
*
*     Compute norm( L - Q'*A ) / ( N * norm(A) * EPS ) .
*
      anorm = slange( '1', m, n, a, lda, rwork )
      resid = slange( '1', m, n, l, lda, rwork )
      IF( anorm.GT.zero ) THEN
         result( 1 ) = ( ( resid / real( max( 1, n ) ) ) / anorm ) / eps
      ELSE
         result( 1 ) = zero
      END IF
*
*     Compute I - Q*Q'
*
      CALL slaset( 'Full', n, n, zero, one, l, lda )
      CALL ssyrk( 'Upper', 'No transpose', n, n, -one, q, lda, one, l,
     $            lda )
*
*     Compute norm( I - Q*Q' ) / ( N * EPS ) .
*
      resid = slansy( '1', 'Upper', n, l, lda, rwork )
*
      result( 2 ) = ( resid / real( max( 1, n ) ) ) / eps
*
      RETURN
*
*     End of SLQT01
*

Here is the call graph for this function:

Here is the caller graph for this function: