sgetsqrhrt.f

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*> \brief \b SGETSQRHRT
*
*  =========== DOCUMENTATION ===========
*
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*
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*
*  Definition:
*  ===========
*
*       SUBROUTINE SGETSQRHRT( M, N, MB1, NB1, NB2, A, LDA, T, LDT, WORK,
*      $                       LWORK, INFO )
*       IMPLICIT NONE
*
*       .. Scalar Arguments ..
*       INTEGER           INFO, LDA, LDT, LWORK, M, N, NB1, NB2, MB1
*       ..
*       .. Array Arguments ..
*       REAL              A( LDA, * ), T( LDT, * ), WORK( * )
*       ..
*
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> SGETSQRHRT computes a NB2-sized column blocked QR-factorization
*> of a complex M-by-N matrix A with M >= N,
*>
*>    A = Q * R.
*>
*> The routine uses internally a NB1-sized column blocked and MB1-sized
*> row blocked TSQR-factorization and perfors the reconstruction
*> of the Householder vectors from the TSQR output. The routine also
*> converts the R_tsqr factor from the TSQR-factorization output into
*> the R factor that corresponds to the Householder QR-factorization,
*>
*>    A = Q_tsqr * R_tsqr = Q * R.
*>
*> The output Q and R factors are stored in the same format as in SGEQRT
*> (Q is in blocked compact WY-representation). See the documentation
*> of SGEQRT for more details on the format.
*> \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. M >= N >= 0.
*> \endverbatim
*>
*> \param[in] MB1
*> \verbatim
*>          MB1 is INTEGER
*>          The row block size to be used in the blocked TSQR.
*>          MB1 > N.
*> \endverbatim
*>
*> \param[in] NB1
*> \verbatim
*>          NB1 is INTEGER
*>          The column block size to be used in the blocked TSQR.
*>          N >= NB1 >= 1.
*> \endverbatim
*>
*> \param[in] NB2
*> \verbatim
*>          NB2 is INTEGER
*>          The block size to be used in the blocked QR that is
*>          output. NB2 >= 1.
*> \endverbatim
*>
*> \param[in,out] A
*> \verbatim
*>          A is REAL array, dimension (LDA,N)
*>
*>          On entry: an M-by-N matrix A.
*>
*>          On exit:
*>           a) the elements on and above the diagonal
*>              of the array contain the N-by-N upper-triangular
*>              matrix R corresponding to the Householder QR;
*>           b) the elements below the diagonal represent Q by
*>              the columns of blocked V (compact WY-representation).
*> \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 upper triangular block reflectors stored in compact form
*>          as a sequence of upper triangular blocks.
*> \endverbatim
*>
*> \param[in] LDT
*> \verbatim
*>          LDT is INTEGER
*>          The leading dimension of the array T.  LDT >= NB2.
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*>          (workspace) REAL array, dimension (MAX(1,LWORK))
*>          On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
*> \endverbatim
*>
*> \param[in] LWORK
*> \verbatim
*>          LWORK is INTEGER
*>          The dimension of the array WORK.
*>          If MIN(M,N) = 0, LWORK >= 1, else
*>          LWORK >= MAX( 1, LWT + LW1, MAX( LWT+N*N+LW2, LWT+N*N+N ) ),
*>          where
*>             NUM_ALL_ROW_BLOCKS = CEIL((M-N)/(MB1-N)),
*>             NB1LOCAL = MIN(NB1,N).
*>             LWT = NUM_ALL_ROW_BLOCKS * N * NB1LOCAL,
*>             LW1 = NB1LOCAL * N,
*>             LW2 = NB1LOCAL * MAX( NB1LOCAL, ( N - NB1LOCAL ) ).
*>
*>          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.
*
*> \ingroup getsqrhrt
*
*> \par Contributors:
*  ==================
*>
*> \verbatim
*>
*> November 2020, Igor Kozachenko,
*>                Computer Science Division,
*>                University of California, Berkeley
*>
*> \endverbatim
*>
*  =====================================================================
      SUBROUTINE sgetsqrhrt( M, N, MB1, NB1, NB2, A, LDA, T, LDT,
     $                       WORK,
     $                       LWORK, INFO )
      IMPLICIT NONE
*
*  -- LAPACK computational 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           INFO, LDA, LDT, LWORK, M, N, NB1, NB2, MB1
*     ..
*     .. Array Arguments ..
      REAL              A( LDA, * ), T( LDT, * ), WORK( * )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      REAL               ONE
      PARAMETER          ( ONE = 1.0e+0 )
*     ..
*     .. Local Scalars ..
      LOGICAL            LQUERY
      INTEGER            I, IINFO, J, LW1, LW2, LWT, LDWT, LWORKOPT,
     $                   nb1local, nb2local, num_all_row_blocks
*     ..
*     .. External Functions ..
      REAL               SROUNDUP_LWORK
      EXTERNAL           SROUNDUP_LWORK
*     ..
*     .. External Subroutines ..
      EXTERNAL           scopy, slatsqr, sorgtsqr_row,
     $                   sorhr_col,
     $                   xerbla
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          ceiling, max, min
*     ..
*     .. 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. m.LT.n ) THEN
         info = -2
      ELSE IF( mb1.LE.n ) THEN
         info = -3
      ELSE IF( nb1.LT.1 ) THEN
         info = -4
      ELSE IF( nb2.LT.1 ) THEN
         info = -5
      ELSE IF( lda.LT.max( 1, m ) ) THEN
         info = -7
      ELSE IF( ldt.LT.max( 1, min( nb2, n ) ) ) THEN
         info = -9
      ELSE
*
*        Test the input LWORK for the dimension of the array WORK.
*        This workspace is used to store array:
*        a) Matrix T and WORK for SLATSQR;
*        b) N-by-N upper-triangular factor R_tsqr;
*        c) Matrix T and array WORK for SORGTSQR_ROW;
*        d) Diagonal D for SORHR_COL.
*
         IF( lwork.LT.n*n+1 .AND. .NOT.lquery ) THEN
            info = -11
         ELSE
*
*           Set block size for column blocks
*
            nb1local = min( nb1, n )
*
            num_all_row_blocks = max( 1,
     $                   ceiling( real( m - n ) / real( mb1 - n ) ) )
*
*           Length and leading dimension of WORK array to place
*           T array in TSQR.
*
            lwt = num_all_row_blocks * n * nb1local
 
            ldwt = nb1local
*
*           Length of TSQR work array
*
            lw1 = nb1local * n
*
*           Length of SORGTSQR_ROW work array.
*
            lw2 = nb1local * max( nb1local, ( n - nb1local ) )
*
            lworkopt = max( lwt + lw1, max( lwt+n*n+lw2, lwt+n*n+n ) )
            lworkopt = max( 1, lworkopt )
*
            IF( lwork.LT.lworkopt .AND. .NOT.lquery ) THEN
               info = -11
            END IF
*
         END IF
      END IF
*
*     Handle error in the input parameters and return workspace query.
*
      IF( info.NE.0 ) THEN
         CALL xerbla( 'SGETSQRHRT', -info )
         RETURN
      ELSE IF ( lquery ) THEN
         work( 1 ) = sroundup_lwork( lworkopt )
         RETURN
      END IF
*
*     Quick return if possible
*
      IF( min( m, n ).EQ.0 ) THEN
         work( 1 ) = sroundup_lwork( lworkopt )
         RETURN
      END IF
*
      nb2local = min( nb2, n )
*
*
*     (1) Perform TSQR-factorization of the M-by-N matrix A.
*
      CALL slatsqr( m, n, mb1, nb1local, a, lda, work, ldwt,
     $              work(lwt+1), lw1, iinfo )
*
*     (2) Copy the factor R_tsqr stored in the upper-triangular part
*         of A into the square matrix in the work array
*         WORK(LWT+1:LWT+N*N) column-by-column.
*
      DO j = 1, n
         CALL scopy( j, a( 1, j ), 1, work( lwt + n*(j-1)+1 ), 1 )
      END DO
*
*     (3) Generate a M-by-N matrix Q with orthonormal columns from
*     the result stored below the diagonal in the array A in place.
*
 
      CALL sorgtsqr_row( m, n, mb1, nb1local, a, lda, work, ldwt,
     $                   work( lwt+n*n+1 ), lw2, iinfo )
*
*     (4) Perform the reconstruction of Householder vectors from
*     the matrix Q (stored in A) in place.
*
      CALL sorhr_col( m, n, nb2local, a, lda, t, ldt,
     $                work( lwt+n*n+1 ), iinfo )
*
*     (5) Copy the factor R_tsqr stored in the square matrix in the
*     work array WORK(LWT+1:LWT+N*N) into the upper-triangular
*     part of A.
*
*     (6) Compute from R_tsqr the factor R_hr corresponding to
*     the reconstructed Householder vectors, i.e. R_hr = S * R_tsqr.
*     This multiplication by the sign matrix S on the left means
*     changing the sign of I-th row of the matrix R_tsqr according
*     to sign of the I-th diagonal element DIAG(I) of the matrix S.
*     DIAG is stored in WORK( LWT+N*N+1 ) from the SORHR_COL output.
*
*     (5) and (6) can be combined in a single loop, so the rows in A
*     are accessed only once.
*
      DO i = 1, n
         IF( work( lwt+n*n+i ).EQ.-one ) THEN
            DO j = i, n
               a( i, j ) = -one * work( lwt+n*(j-1)+i )
            END DO
         ELSE
            CALL scopy( n-i+1, work(lwt+n*(i-1)+i), n, a( i, i ),
     $                  lda )
         END IF
      END DO
*
      work( 1 ) = sroundup_lwork( lworkopt )
      RETURN
*
*     End of SGETSQRHRT
*
      END