1*> \brief \b SQLT02 2* 3* =========== DOCUMENTATION =========== 4* 5* Online html documentation available at 6* http://www.netlib.org/lapack/explore-html/ 7* 8* Definition: 9* =========== 10* 11* SUBROUTINE SQLT02( M, N, K, A, AF, Q, L, LDA, TAU, WORK, LWORK, 12* RWORK, RESULT ) 13* 14* .. Scalar Arguments .. 15* INTEGER K, LDA, LWORK, M, N 16* .. 17* .. Array Arguments .. 18* REAL A( LDA, * ), AF( LDA, * ), L( LDA, * ), 19* $ Q( LDA, * ), RESULT( * ), RWORK( * ), TAU( * ), 20* $ WORK( LWORK ) 21* .. 22* 23* 24*> \par Purpose: 25* ============= 26*> 27*> \verbatim 28*> 29*> SQLT02 tests SORGQL, which generates an m-by-n matrix Q with 30*> orthonornmal columns that is defined as the product of k elementary 31*> reflectors. 32*> 33*> Given the QL factorization of an m-by-n matrix A, SQLT02 generates 34*> the orthogonal matrix Q defined by the factorization of the last k 35*> columns of A; it compares L(m-n+1:m,n-k+1:n) with 36*> Q(1:m,m-n+1:m)'*A(1:m,n-k+1:n), and checks that the columns of Q are 37*> orthonormal. 38*> \endverbatim 39* 40* Arguments: 41* ========== 42* 43*> \param[in] M 44*> \verbatim 45*> M is INTEGER 46*> The number of rows of the matrix Q to be generated. M >= 0. 47*> \endverbatim 48*> 49*> \param[in] N 50*> \verbatim 51*> N is INTEGER 52*> The number of columns of the matrix Q to be generated. 53*> M >= N >= 0. 54*> \endverbatim 55*> 56*> \param[in] K 57*> \verbatim 58*> K is INTEGER 59*> The number of elementary reflectors whose product defines the 60*> matrix Q. N >= K >= 0. 61*> \endverbatim 62*> 63*> \param[in] A 64*> \verbatim 65*> A is REAL array, dimension (LDA,N) 66*> The m-by-n matrix A which was factorized by SQLT01. 67*> \endverbatim 68*> 69*> \param[in] AF 70*> \verbatim 71*> AF is REAL array, dimension (LDA,N) 72*> Details of the QL factorization of A, as returned by SGEQLF. 73*> See SGEQLF for further details. 74*> \endverbatim 75*> 76*> \param[out] Q 77*> \verbatim 78*> Q is REAL array, dimension (LDA,N) 79*> \endverbatim 80*> 81*> \param[out] L 82*> \verbatim 83*> L is REAL array, dimension (LDA,N) 84*> \endverbatim 85*> 86*> \param[in] LDA 87*> \verbatim 88*> LDA is INTEGER 89*> The leading dimension of the arrays A, AF, Q and L. LDA >= M. 90*> \endverbatim 91*> 92*> \param[in] TAU 93*> \verbatim 94*> TAU is REAL array, dimension (N) 95*> The scalar factors of the elementary reflectors corresponding 96*> to the QL factorization in AF. 97*> \endverbatim 98*> 99*> \param[out] WORK 100*> \verbatim 101*> WORK is REAL array, dimension (LWORK) 102*> \endverbatim 103*> 104*> \param[in] LWORK 105*> \verbatim 106*> LWORK is INTEGER 107*> The dimension of the array WORK. 108*> \endverbatim 109*> 110*> \param[out] RWORK 111*> \verbatim 112*> RWORK is REAL array, dimension (M) 113*> \endverbatim 114*> 115*> \param[out] RESULT 116*> \verbatim 117*> RESULT is REAL array, dimension (2) 118*> The test ratios: 119*> RESULT(1) = norm( L - Q'*A ) / ( M * norm(A) * EPS ) 120*> RESULT(2) = norm( I - Q'*Q ) / ( M * EPS ) 121*> \endverbatim 122* 123* Authors: 124* ======== 125* 126*> \author Univ. of Tennessee 127*> \author Univ. of California Berkeley 128*> \author Univ. of Colorado Denver 129*> \author NAG Ltd. 130* 131*> \ingroup single_lin 132* 133* ===================================================================== 134 SUBROUTINE SQLT02( M, N, K, A, AF, Q, L, LDA, TAU, WORK, LWORK, 135 $ RWORK, RESULT ) 136* 137* -- LAPACK test routine -- 138* -- LAPACK is a software package provided by Univ. of Tennessee, -- 139* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- 140* 141* .. Scalar Arguments .. 142 INTEGER K, LDA, LWORK, M, N 143* .. 144* .. Array Arguments .. 145 REAL A( LDA, * ), AF( LDA, * ), L( LDA, * ), 146 $ Q( LDA, * ), RESULT( * ), RWORK( * ), TAU( * ), 147 $ WORK( LWORK ) 148* .. 149* 150* ===================================================================== 151* 152* .. Parameters .. 153 REAL ZERO, ONE 154 PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 ) 155 REAL ROGUE 156 PARAMETER ( ROGUE = -1.0E+10 ) 157* .. 158* .. Local Scalars .. 159 INTEGER INFO 160 REAL ANORM, EPS, RESID 161* .. 162* .. External Functions .. 163 REAL SLAMCH, SLANGE, SLANSY 164 EXTERNAL SLAMCH, SLANGE, SLANSY 165* .. 166* .. External Subroutines .. 167 EXTERNAL SGEMM, SLACPY, SLASET, SORGQL, SSYRK 168* .. 169* .. Intrinsic Functions .. 170 INTRINSIC MAX, REAL 171* .. 172* .. Scalars in Common .. 173 CHARACTER*32 SRNAMT 174* .. 175* .. Common blocks .. 176 COMMON / SRNAMC / SRNAMT 177* .. 178* .. Executable Statements .. 179* 180* Quick return if possible 181* 182 IF( M.EQ.0 .OR. N.EQ.0 .OR. K.EQ.0 ) THEN 183 RESULT( 1 ) = ZERO 184 RESULT( 2 ) = ZERO 185 RETURN 186 END IF 187* 188 EPS = SLAMCH( 'Epsilon' ) 189* 190* Copy the last k columns of the factorization to the array Q 191* 192 CALL SLASET( 'Full', M, N, ROGUE, ROGUE, Q, LDA ) 193 IF( K.LT.M ) 194 $ CALL SLACPY( 'Full', M-K, K, AF( 1, N-K+1 ), LDA, 195 $ Q( 1, N-K+1 ), LDA ) 196 IF( K.GT.1 ) 197 $ CALL SLACPY( 'Upper', K-1, K-1, AF( M-K+1, N-K+2 ), LDA, 198 $ Q( M-K+1, N-K+2 ), LDA ) 199* 200* Generate the last n columns of the matrix Q 201* 202 SRNAMT = 'SORGQL' 203 CALL SORGQL( M, N, K, Q, LDA, TAU( N-K+1 ), WORK, LWORK, INFO ) 204* 205* Copy L(m-n+1:m,n-k+1:n) 206* 207 CALL SLASET( 'Full', N, K, ZERO, ZERO, L( M-N+1, N-K+1 ), LDA ) 208 CALL SLACPY( 'Lower', K, K, AF( M-K+1, N-K+1 ), LDA, 209 $ L( M-K+1, N-K+1 ), LDA ) 210* 211* Compute L(m-n+1:m,n-k+1:n) - Q(1:m,m-n+1:m)' * A(1:m,n-k+1:n) 212* 213 CALL SGEMM( 'Transpose', 'No transpose', N, K, M, -ONE, Q, LDA, 214 $ A( 1, N-K+1 ), LDA, ONE, L( M-N+1, N-K+1 ), LDA ) 215* 216* Compute norm( L - Q'*A ) / ( M * norm(A) * EPS ) . 217* 218 ANORM = SLANGE( '1', M, K, A( 1, N-K+1 ), LDA, RWORK ) 219 RESID = SLANGE( '1', N, K, L( M-N+1, N-K+1 ), LDA, RWORK ) 220 IF( ANORM.GT.ZERO ) THEN 221 RESULT( 1 ) = ( ( RESID / REAL( MAX( 1, M ) ) ) / ANORM ) / EPS 222 ELSE 223 RESULT( 1 ) = ZERO 224 END IF 225* 226* Compute I - Q'*Q 227* 228 CALL SLASET( 'Full', N, N, ZERO, ONE, L, LDA ) 229 CALL SSYRK( 'Upper', 'Transpose', N, M, -ONE, Q, LDA, ONE, L, 230 $ LDA ) 231* 232* Compute norm( I - Q'*Q ) / ( M * EPS ) . 233* 234 RESID = SLANSY( '1', 'Upper', N, L, LDA, RWORK ) 235* 236 RESULT( 2 ) = ( RESID / REAL( MAX( 1, M ) ) ) / EPS 237* 238 RETURN 239* 240* End of SQLT02 241* 242 END 243