dlaswlq.f

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*> \brief \b DLASWLQ
*
*  Definition:
*  ===========
*
*       SUBROUTINE DLASWLQ( M, N, MB, NB, A, LDA, T, LDT, WORK,
*                            LWORK, INFO)
*
*       .. Scalar Arguments ..
*       INTEGER           INFO, LDA, M, N, MB, NB, LDT, LWORK
*       ..
*       .. Array Arguments ..
*       DOUBLE PRECISION  A( LDA, * ), T( LDT, * ), WORK( * )
*       ..
*
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> DLASWLQ computes a blocked Tall-Skinny LQ factorization of
*> a real M-by-N matrix A for M <= N:
*>
*>    A = ( L 0 ) *  Q,
*>
*> where:
*>
*>    Q is a n-by-N orthogonal matrix, stored on exit in an implicit
*>    form in the elements above the digonal of the array A and in
*>    the elemenst of the array T;
*>    L is an lower-triangular M-by-M matrix stored on exit in
*>    the elements on and below the diagonal of the array A.
*>    0 is a M-by-(N-M) zero matrix, if M < N, and is not stored.
*>
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] M
*> \verbatim
*>          M is INTEGER
*>          The number of rows of the matrix A.  M >= 0.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*>          N is INTEGER
*>          The number of columns of the matrix A.  N >= M >= 0.
*> \endverbatim
*>
*> \param[in] MB
*> \verbatim
*>          MB is INTEGER
*>          The row block size to be used in the blocked QR.
*>          M >= MB >= 1
*> \endverbatim
*> \param[in] NB
*> \verbatim
*>          NB is INTEGER
*>          The column block size to be used in the blocked QR.
*>          NB > M.
*> \endverbatim
*>
*> \param[in,out] A
*> \verbatim
*>          A is DOUBLE PRECISION array, dimension (LDA,N)
*>          On entry, the M-by-N matrix A.
*>          On exit, the elements on and below the diagonal
*>          of the array contain the N-by-N lower triangular matrix L;
*>          the elements above the diagonal represent Q by the rows
*>          of blocked V (see 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 DOUBLE PRECISION array,
*>          dimension (LDT, N * Number_of_row_blocks)
*>          where Number_of_row_blocks = CEIL((N-M)/(NB-M))
*>          The blocked upper triangular block reflectors stored in compact form
*>          as a sequence of upper triangular blocks.
*>          See Further Details below.
*> \endverbatim
*>
*> \param[in] LDT
*> \verbatim
*>          LDT is INTEGER
*>          The leading dimension of the array T.  LDT >= MB.
*> \endverbatim
*>
*>
*> \param[out] WORK
*> \verbatim
*>         (workspace) DOUBLE PRECISION array, dimension (MAX(1,LWORK))
*>
*> \endverbatim
*> \param[in] LWORK
*> \verbatim
*>          The dimension of the array WORK.  LWORK >= MB*M.
*>          If LWORK = -1, then a workspace query is assumed; the routine
*>          only calculates the optimal size of the WORK array, returns
*>          this value as the first entry of the WORK array, and no error
*>          message related to LWORK is issued by XERBLA.
*>
*> \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.
*
*> \par Further Details:
*  =====================
*>
*> \verbatim
*> Short-Wide LQ (SWLQ) performs LQ by a sequence of orthogonal transformations,
*> representing Q as a product of other orthogonal matrices
*>   Q = Q(1) * Q(2) * . . . * Q(k)
*> where each Q(i) zeros out upper diagonal entries of a block of NB rows of A:
*>   Q(1) zeros out the upper diagonal entries of rows 1:NB of A
*>   Q(2) zeros out the bottom MB-N rows of rows [1:M,NB+1:2*NB-M] of A
*>   Q(3) zeros out the bottom MB-N rows of rows [1:M,2*NB-M+1:3*NB-2*M] of A
*>   . . .
*>
*> Q(1) is computed by GELQT, which represents Q(1) by Householder vectors
*> stored under the diagonal of rows 1:MB of A, and by upper triangular
*> block reflectors, stored in array T(1:LDT,1:N).
*> For more information see Further Details in GELQT.
*>
*> Q(i) for i>1 is computed by TPLQT, which represents Q(i) by Householder vectors
*> stored in columns [(i-1)*(NB-M)+M+1:i*(NB-M)+M] of A, and by upper triangular
*> block reflectors, stored in array T(1:LDT,(i-1)*M+1:i*M).
*> The last Q(k) may use fewer rows.
*> For more information see Further Details in TPQRT.
*>
*> For more details of the overall algorithm, see the description of
*> Sequential TSQR in Section 2.2 of [1].
*>
*> [1] “Communication-Optimal Parallel and Sequential QR and LU Factorizations,”
*>     J. Demmel, L. Grigori, M. Hoemmen, J. Langou,
*>     SIAM J. Sci. Comput, vol. 34, no. 1, 2012
*> \endverbatim
*>
*  =====================================================================
      SUBROUTINE dlaswlq( M, N, MB, NB, A, LDA, T, LDT, WORK, LWORK,
     $                  INFO)
*
*  -- LAPACK computational routine (version 3.9.0) --
*  -- LAPACK is a software package provided by Univ. of Tennessee,    --
*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd. --
*     June 2017
*
*     .. Scalar Arguments ..
      INTEGER           INFO, LDA, M, N, MB, NB, LWORK, LDT
*     ..
*     .. Array Arguments ..
      DOUBLE PRECISION  A( LDA, * ), WORK( * ), T( LDT, *)
*     ..
*
*  =====================================================================
*
*     ..
*     .. Local Scalars ..
      LOGICAL    LQUERY
      INTEGER    I, II, KK, CTR
*     ..
*     .. EXTERNAL FUNCTIONS ..
      LOGICAL            LSAME
      EXTERNAL           lsame
*     .. EXTERNAL SUBROUTINES ..
      EXTERNAL           dgelqt, dtplqt, xerbla
*     .. INTRINSIC FUNCTIONS ..
      INTRINSIC          max, min, mod
*     ..
*     .. EXECUTABLE STATEMENTS ..
*
*     TEST THE INPUT ARGUMENTS
*
      info = 0
*
      lquery = ( lwork.EQ.-1 )
*
      IF( m.LT.0 ) THEN
        info = -1
      ELSE IF( n.LT.0 .OR. n.LT.m ) THEN
        info = -2
      ELSE IF( mb.LT.1 .OR. ( mb.GT.m .AND. m.GT.0 )) THEN
        info = -3
      ELSE IF( nb.LE.m ) THEN
        info = -4
      ELSE IF( lda.LT.max( 1, m ) ) THEN
        info = -5
      ELSE IF( ldt.LT.mb ) THEN
        info = -8
      ELSE IF( ( lwork.LT.m*mb) .AND. (.NOT.lquery) ) THEN
        info = -10
      END IF
      IF( info.EQ.0)  THEN
      work(1) = mb*m
      END IF
*
      IF( info.NE.0 ) THEN
        CALL xerbla( 'DLASWLQ', -info )
        RETURN
      ELSE IF (lquery) THEN
       RETURN
      END IF
*
*     Quick return if possible
*
      IF( min(m,n).EQ.0 ) THEN
          RETURN
      END IF
*
*     The LQ Decomposition
*
       IF((m.GE.n).OR.(nb.LE.m).OR.(nb.GE.n)) THEN
        CALL dgelqt( m, n, mb, a, lda, t, ldt, work, info)
        RETURN
       END IF
*
       kk = mod((n-m),(nb-m))
       ii=n-kk+1
*
*      Compute the LQ factorization of the first block A(1:M,1:NB)
*
       CALL dgelqt( m, nb, mb, a(1,1), lda, t, ldt, work, info)
       ctr = 1
*
       DO i = nb+1, ii-nb+m , (nb-m)
*
*      Compute the QR factorization of the current block A(1:M,I:I+NB-M)
*
         CALL dtplqt( m, nb-m, 0, mb, a(1,1), lda, a( 1, i ),
     $                  lda, t(1, ctr * m + 1),
     $                  ldt, work, info )
         ctr = ctr + 1
       END DO
*
*     Compute the QR factorization of the last block A(1:M,II:N)
*
       IF (ii.LE.n) THEN
        CALL dtplqt( m, kk, 0, mb, a(1,1), lda, a( 1, ii ),
     $                  lda, t(1, ctr * m + 1), ldt,
     $                  work, info )
       END IF
*
      work( 1 ) = m * mb
      RETURN
*
*     End of DLASWLQ
*
      END