*> \brief \b SGEQRT3 recursively computes a QR factorization of a general real or complex matrix using the compact WY representation of Q. * * =========== DOCUMENTATION =========== * * Online html documentation available at * http://www.netlib.org/lapack/explore-html/ * *> \htmlonly *> Download SGEQRT3 + dependencies *> *> [TGZ] *> *> [ZIP] *> *> [TXT] *> \endhtmlonly * * Definition: * =========== * * RECURSIVE SUBROUTINE SGEQRT3( M, N, A, LDA, T, LDT, INFO ) * * .. Scalar Arguments .. * INTEGER INFO, LDA, M, N, LDT * .. * .. Array Arguments .. * REAL A( LDA, * ), T( LDT, * ) * .. * * *> \par Purpose: * ============= *> *> \verbatim *> *> SGEQRT3 recursively computes a QR factorization of a real M-by-N *> matrix A, using the compact WY representation of Q. *> *> Based on the algorithm of Elmroth and Gustavson, *> IBM J. Res. Develop. Vol 44 No. 4 July 2000. *> \endverbatim * * Arguments: * ========== * *> \param[in] M *> \verbatim *> M is INTEGER *> The number of rows of the matrix A. M >= N. *> \endverbatim *> *> \param[in] N *> \verbatim *> N is INTEGER *> The number of columns of the matrix A. N >= 0. *> \endverbatim *> *> \param[in,out] A *> \verbatim *> A is REAL array, dimension (LDA,N) *> On entry, the real M-by-N matrix A. On exit, the elements on and *> above the diagonal contain the N-by-N upper triangular matrix R; the *> elements below the diagonal are the columns of V. See below for *> further details. *> \endverbatim *> *> \param[in] LDA *> \verbatim *> LDA is INTEGER *> The leading dimension of the array A. LDA >= max(1,M). *> \endverbatim *> *> \param[out] T *> \verbatim *> T is REAL array, dimension (LDT,N) *> The N-by-N upper triangular factor of the block reflector. *> The elements on and above the diagonal contain the block *> reflector T; the elements below the diagonal are not used. *> See below for further details. *> \endverbatim *> *> \param[in] LDT *> \verbatim *> LDT is INTEGER *> The leading dimension of the array T. LDT >= max(1,N). *> \endverbatim *> *> \param[out] INFO *> \verbatim *> INFO is INTEGER *> = 0: successful exit *> < 0: if INFO = -i, the i-th argument had an illegal value *> \endverbatim * * Authors: * ======== * *> \author Univ. of Tennessee *> \author Univ. of California Berkeley *> \author Univ. of Colorado Denver *> \author NAG Ltd. * *> \date September 2012 * *> \ingroup realGEcomputational * *> \par Further Details: * ===================== *> *> \verbatim *> *> The matrix V stores the elementary reflectors H(i) in the i-th column *> below the diagonal. For example, if M=5 and N=3, the matrix V is *> *> V = ( 1 ) *> ( v1 1 ) *> ( v1 v2 1 ) *> ( v1 v2 v3 ) *> ( v1 v2 v3 ) *> *> where the vi's represent the vectors which define H(i), which are returned *> in the matrix A. The 1's along the diagonal of V are not stored in A. The *> block reflector H is then given by *> *> H = I - V * T * V**T *> *> where V**T is the transpose of V. *> *> For details of the algorithm, see Elmroth and Gustavson (cited above). *> \endverbatim *> * ===================================================================== RECURSIVE SUBROUTINE SGEQRT3( M, N, A, LDA, T, LDT, INFO ) * * -- LAPACK computational routine (version 3.4.2) -- * -- LAPACK is a software package provided by Univ. of Tennessee, -- * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- * September 2012 * * .. Scalar Arguments .. INTEGER INFO, LDA, M, N, LDT * .. * .. Array Arguments .. REAL A( LDA, * ), T( LDT, * ) * .. * * ===================================================================== * * .. Parameters .. REAL ONE PARAMETER ( ONE = 1.0 ) * .. * .. Local Scalars .. INTEGER I, I1, J, J1, N1, N2, IINFO * .. * .. External Subroutines .. EXTERNAL SLARFG, STRMM, SGEMM, XERBLA * .. * .. Executable Statements .. * INFO = 0 IF( N .LT. 0 ) THEN INFO = -2 ELSE IF( M .LT. N ) THEN INFO = -1 ELSE IF( LDA .LT. MAX( 1, M ) ) THEN INFO = -4 ELSE IF( LDT .LT. MAX( 1, N ) ) THEN INFO = -6 END IF IF( INFO.NE.0 ) THEN CALL XERBLA( 'SGEQRT3', -INFO ) RETURN END IF * IF( N.EQ.1 ) THEN * * Compute Householder transform when N=1 * CALL SLARFG( M, A, A( MIN( 2, M ), 1 ), 1, T ) * ELSE * * Otherwise, split A into blocks... * N1 = N/2 N2 = N-N1 J1 = MIN( N1+1, N ) I1 = MIN( N+1, M ) * * Compute A(1:M,1:N1) <- (Y1,R1,T1), where Q1 = I - Y1 T1 Y1^H * CALL SGEQRT3( M, N1, A, LDA, T, LDT, IINFO ) * * Compute A(1:M,J1:N) = Q1^H A(1:M,J1:N) [workspace: T(1:N1,J1:N)] * DO J=1,N2 DO I=1,N1 T( I, J+N1 ) = A( I, J+N1 ) END DO END DO CALL STRMM( 'L', 'L', 'T', 'U', N1, N2, ONE, & A, LDA, T( 1, J1 ), LDT ) * CALL SGEMM( 'T', 'N', N1, N2, M-N1, ONE, A( J1, 1 ), LDA, & A( J1, J1 ), LDA, ONE, T( 1, J1 ), LDT) * CALL STRMM( 'L', 'U', 'T', 'N', N1, N2, ONE, & T, LDT, T( 1, J1 ), LDT ) * CALL SGEMM( 'N', 'N', M-N1, N2, N1, -ONE, A( J1, 1 ), LDA, & T( 1, J1 ), LDT, ONE, A( J1, J1 ), LDA ) * CALL STRMM( 'L', 'L', 'N', 'U', N1, N2, ONE, & A, LDA, T( 1, J1 ), LDT ) * DO J=1,N2 DO I=1,N1 A( I, J+N1 ) = A( I, J+N1 ) - T( I, J+N1 ) END DO END DO * * Compute A(J1:M,J1:N) <- (Y2,R2,T2) where Q2 = I - Y2 T2 Y2^H * CALL SGEQRT3( M-N1, N2, A( J1, J1 ), LDA, & T( J1, J1 ), LDT, IINFO ) * * Compute T3 = T(1:N1,J1:N) = -T1 Y1^H Y2 T2 * DO I=1,N1 DO J=1,N2 T( I, J+N1 ) = (A( J+N1, I )) END DO END DO * CALL STRMM( 'R', 'L', 'N', 'U', N1, N2, ONE, & A( J1, J1 ), LDA, T( 1, J1 ), LDT ) * CALL SGEMM( 'T', 'N', N1, N2, M-N, ONE, A( I1, 1 ), LDA, & A( I1, J1 ), LDA, ONE, T( 1, J1 ), LDT ) * CALL STRMM( 'L', 'U', 'N', 'N', N1, N2, -ONE, T, LDT, & T( 1, J1 ), LDT ) * CALL STRMM( 'R', 'U', 'N', 'N', N1, N2, ONE, & T( J1, J1 ), LDT, T( 1, J1 ), LDT ) * * Y = (Y1,Y2); R = [ R1 A(1:N1,J1:N) ]; T = [T1 T3] * [ 0 R2 ] [ 0 T2] * END IF * RETURN * * End of SGEQRT3 * END