sggqrf.f

*> \brief \b SGGQRF
*
*  =========== DOCUMENTATION ===========
*
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*
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*
*  Definition:
*  ===========
*
*       SUBROUTINE SGGQRF( N, M, P, A, LDA, TAUA, B, LDB, TAUB, WORK,
*                          LWORK, INFO )
*
*       .. Scalar Arguments ..
*       INTEGER            INFO, LDA, LDB, LWORK, M, N, P
*       ..
*       .. Array Arguments ..
*       REAL               A( LDA, * ), B( LDB, * ), TAUA( * ), TAUB( * ),
*      $                   WORK( * )
*       ..
*
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> SGGQRF computes a generalized QR factorization of an N-by-M matrix A
*> and an N-by-P matrix B:
*>
*>             A = Q*R,        B = Q*T*Z,
*>
*> where Q is an N-by-N orthogonal matrix, Z is a P-by-P orthogonal
*> matrix, and R and T assume one of the forms:
*>
*> if N >= M,  R = ( R11 ) M  ,   or if N < M,  R = ( R11  R12 ) N,
*>                 (  0  ) N-M                         N   M-N
*>                    M
*>
*> where R11 is upper triangular, and
*>
*> if N <= P,  T = ( 0  T12 ) N,   or if N > P,  T = ( T11 ) N-P,
*>                  P-N  N                           ( T21 ) P
*>                                                      P
*>
*> where T12 or T21 is upper triangular.
*>
*> In particular, if B is square and nonsingular, the GQR factorization
*> of A and B implicitly gives the QR factorization of inv(B)*A:
*>
*>              inv(B)*A = Z**T*(inv(T)*R)
*>
*> where inv(B) denotes the inverse of the matrix B, and Z**T denotes the
*> transpose of the matrix Z.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] N
*> \verbatim
*>          N is INTEGER
*>          The number of rows of the matrices A and B. N >= 0.
*> \endverbatim
*>
*> \param[in] M
*> \verbatim
*>          M is INTEGER
*>          The number of columns of the matrix A.  M >= 0.
*> \endverbatim
*>
*> \param[in] P
*> \verbatim
*>          P is INTEGER
*>          The number of columns of the matrix B.  P >= 0.
*> \endverbatim
*>
*> \param[in,out] A
*> \verbatim
*>          A is REAL array, dimension (LDA,M)
*>          On entry, the N-by-M matrix A.
*>          On exit, the elements on and above the diagonal of the array
*>          contain the min(N,M)-by-M upper trapezoidal matrix R (R is
*>          upper triangular if N >= M); the elements below the diagonal,
*>          with the array TAUA, represent the orthogonal matrix Q as a
*>          product of min(N,M) elementary reflectors (see Further
*>          Details).
*> \endverbatim
*>
*> \param[in] LDA
*> \verbatim
*>          LDA is INTEGER
*>          The leading dimension of the array A. LDA >= max(1,N).
*> \endverbatim
*>
*> \param[out] TAUA
*> \verbatim
*>          TAUA is REAL array, dimension (min(N,M))
*>          The scalar factors of the elementary reflectors which
*>          represent the orthogonal matrix Q (see Further Details).
*> \endverbatim
*>
*> \param[in,out] B
*> \verbatim
*>          B is REAL array, dimension (LDB,P)
*>          On entry, the N-by-P matrix B.
*>          On exit, if N <= P, the upper triangle of the subarray
*>          B(1:N,P-N+1:P) contains the N-by-N upper triangular matrix T;
*>          if N > P, the elements on and above the (N-P)-th subdiagonal
*>          contain the N-by-P upper trapezoidal matrix T; the remaining
*>          elements, with the array TAUB, represent the orthogonal
*>          matrix Z as a product of elementary reflectors (see Further
*>          Details).
*> \endverbatim
*>
*> \param[in] LDB
*> \verbatim
*>          LDB is INTEGER
*>          The leading dimension of the array B. LDB >= max(1,N).
*> \endverbatim
*>
*> \param[out] TAUB
*> \verbatim
*>          TAUB is REAL array, dimension (min(N,P))
*>          The scalar factors of the elementary reflectors which
*>          represent the orthogonal matrix Z (see Further Details).
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*>          WORK is 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. LWORK >= max(1,N,M,P).
*>          For optimum performance LWORK >= max(N,M,P)*max(NB1,NB2,NB3),
*>          where NB1 is the optimal blocksize for the QR factorization
*>          of an N-by-M matrix, NB2 is the optimal blocksize for the
*>          RQ factorization of an N-by-P matrix, and NB3 is the optimal
*>          blocksize for a call of SORMQR.
*>
*>          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 ggqrf
*
*> \par Further Details:
*  =====================
*>
*> \verbatim
*>
*>  The matrix Q is represented as a product of elementary reflectors
*>
*>     Q = H(1) H(2) . . . H(k), where k = min(n,m).
*>
*>  Each H(i) has the form
*>
*>     H(i) = I - taua * v * v**T
*>
*>  where taua is a real scalar, and v is a real vector with
*>  v(1:i-1) = 0 and v(i) = 1; v(i+1:n) is stored on exit in A(i+1:n,i),
*>  and taua in TAUA(i).
*>  To form Q explicitly, use LAPACK subroutine SORGQR.
*>  To use Q to update another matrix, use LAPACK subroutine SORMQR.
*>
*>  The matrix Z is represented as a product of elementary reflectors
*>
*>     Z = H(1) H(2) . . . H(k), where k = min(n,p).
*>
*>  Each H(i) has the form
*>
*>     H(i) = I - taub * v * v**T
*>
*>  where taub is a real scalar, and v is a real vector with
*>  v(p-k+i+1:p) = 0 and v(p-k+i) = 1; v(1:p-k+i-1) is stored on exit in
*>  B(n-k+i,1:p-k+i-1), and taub in TAUB(i).
*>  To form Z explicitly, use LAPACK subroutine SORGRQ.
*>  To use Z to update another matrix, use LAPACK subroutine SORMRQ.
*> \endverbatim
*>
*  =====================================================================
      SUBROUTINE sggqrf( N, M, P, A, LDA, TAUA, B, LDB, TAUB, WORK,
     $                   LWORK, INFO )
*
*  -- 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, LDB, LWORK, M, N, P
*     ..
*     .. Array Arguments ..
      REAL               A( lda, * ), B( ldb, * ), TAUA( * ), TAUB( * ),
     $                   work( * )
*     ..
*
*  =====================================================================
*
*     .. Local Scalars ..
      LOGICAL            LQUERY
      INTEGER            LOPT, LWKOPT, NB, NB1, NB2, NB3
*     ..
*     .. External Subroutines ..
      EXTERNAL           sgeqrf, sgerqf, sormqr, xerbla
*     ..
*     .. External Functions ..
      INTEGER            ILAENV
      EXTERNAL           ilaenv
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          int, max, min
*     ..
*     .. Executable Statements ..
*
*     Test the input parameters
*
      info = 0
      nb1 = ilaenv( 1, 'SGEQRF', ' ', n, m, -1, -1 )
      nb2 = ilaenv( 1, 'SGERQF', ' ', n, p, -1, -1 )
      nb3 = ilaenv( 1, 'SORMQR', ' ', n, m, p, -1 )
      nb = max( nb1, nb2, nb3 )
      lwkopt = max( n, m, p )*nb
      work( 1 ) = lwkopt
      lquery = ( lwork.EQ.-1 )
      IF( n.LT.0 ) THEN
         info = -1
      ELSE IF( m.LT.0 ) THEN
         info = -2
      ELSE IF( p.LT.0 ) THEN
         info = -3
      ELSE IF( lda.LT.max( 1, n ) ) THEN
         info = -5
      ELSE IF( ldb.LT.max( 1, n ) ) THEN
         info = -8
      ELSE IF( lwork.LT.max( 1, n, m, p ) .AND. .NOT.lquery ) THEN
         info = -11
      END IF
      IF( info.NE.0 ) THEN
         CALL xerbla( 'SGGQRF', -info )
         RETURN
      ELSE IF( lquery ) THEN
         RETURN
      END IF
*
*     QR factorization of N-by-M matrix A: A = Q*R
*
      CALL sgeqrf( n, m, a, lda, taua, work, lwork, info )
      lopt = int( work( 1 ) )
*
*     Update B := Q**T*B.
*
      CALL sormqr( 'Left', 'Transpose', n, p, min( n, m ), a, lda, taua,
     $             b, ldb, work, lwork, info )
      lopt = max( lopt, int( work( 1 ) ) )
*
*     RQ factorization of N-by-P matrix B: B = T*Z.
*
      CALL sgerqf( n, p, b, ldb, taub, work, lwork, info )
      work( 1 ) = max( lopt, int( work( 1 ) ) )
*
      RETURN
*
*     End of SGGQRF
*
      END