psggrqf.f

Go to the documentation of this file.

      SUBROUTINE psggrqf( M, P, N, A, IA, JA, DESCA, TAUA, B, IB, JB,
     $                    DESCB, TAUB, WORK, LWORK, INFO )
*
*  -- ScaLAPACK routine (version 1.7) --
*     University of Tennessee, Knoxville, Oak Ridge National Laboratory,
*     and University of California, Berkeley.
*     May 1, 1997
*
*     .. Scalar Arguments ..
      INTEGER            IA, IB, INFO, JA, JB, LWORK, M, N, P
*     ..
*     .. Array Arguments ..
      INTEGER            DESCA( * ), DESCB( * )
      REAL               A( * ), B( * ), TAUA( * ), TAUB( * ), WORK( * )
*     ..
*
*  Purpose
*  =======
*
*  PSGGRQF computes a generalized RQ factorization of
*  an M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1)
*  and a P-by-N matrix sub( B ) = B(IB:IB+P-1,JB:JB+N-1):
*
*              sub( A ) = R*Q,        sub( B ) = Z*T*Q,
*
*  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 M <= N,  R = ( 0  R12 ) M,   or if M > N,  R = ( R11 ) M-N,
*                   N-M  M                           ( R21 ) N
*                                                       N
*
*  where R12 or R21 is upper triangular, and
*
*  if P >= N,  T = ( T11 ) N  ,   or if P < N,  T = ( T11  T12 ) P,
*                  (  0  ) P-N                         P   N-P
*                     N
*
*  where T11 is upper triangular.
*
*  In particular, if sub( B ) is square and nonsingular, the GRQ
*  factorization of sub( A ) and sub( B ) implicitly gives the RQ
*  factorization of sub( A )*inv( sub( B ) ):
*
*               sub( A )*inv( sub( B ) ) = (R*inv(T))*Z'
*
*  where inv( sub( B ) ) denotes the inverse of the matrix sub( B ),
*  and Z' denotes the transpose of matrix Z.
*
*  Notes
*  =====
*
*  Each global data object is described by an associated description
*  vector.  This vector stores the information required to establish
*  the mapping between an object element and its corresponding process
*  and memory location.
*
*  Let A be a generic term for any 2D block cyclicly distributed array.
*  Such a global array has an associated description vector DESCA.
*  In the following comments, the character _ should be read as
*  "of the global array".
*
*  NOTATION        STORED IN      EXPLANATION
*  --------------- -------------- --------------------------------------
*  DTYPE_A(global) DESCA( DTYPE_ )The descriptor type.  In this case,
*                                 DTYPE_A = 1.
*  CTXT_A (global) DESCA( CTXT_ ) The BLACS context handle, indicating
*                                 the BLACS process grid A is distribu-
*                                 ted over. The context itself is glo-
*                                 bal, but the handle (the integer
*                                 value) may vary.
*  M_A    (global) DESCA( M_ )    The number of rows in the global
*                                 array A.
*  N_A    (global) DESCA( N_ )    The number of columns in the global
*                                 array A.
*  MB_A   (global) DESCA( MB_ )   The blocking factor used to distribute
*                                 the rows of the array.
*  NB_A   (global) DESCA( NB_ )   The blocking factor used to distribute
*                                 the columns of the array.
*  RSRC_A (global) DESCA( RSRC_ ) The process row over which the first
*                                 row of the array A is distributed.
*  CSRC_A (global) DESCA( CSRC_ ) The process column over which the
*                                 first column of the array A is
*                                 distributed.
*  LLD_A  (local)  DESCA( LLD_ )  The leading dimension of the local
*                                 array.  LLD_A >= MAX(1,LOCr(M_A)).
*
*  Let K be the number of rows or columns of a distributed matrix,
*  and assume that its process grid has dimension p x q.
*  LOCr( K ) denotes the number of elements of K that a process
*  would receive if K were distributed over the p processes of its
*  process column.
*  Similarly, LOCc( K ) denotes the number of elements of K that a
*  process would receive if K were distributed over the q processes of
*  its process row.
*  The values of LOCr() and LOCc() may be determined via a call to the
*  ScaLAPACK tool function, NUMROC:
*          LOCr( M ) = NUMROC( M, MB_A, MYROW, RSRC_A, NPROW ),
*          LOCc( N ) = NUMROC( N, NB_A, MYCOL, CSRC_A, NPCOL ).
*  An upper bound for these quantities may be computed by:
*          LOCr( M ) <= ceil( ceil(M/MB_A)/NPROW )*MB_A
*          LOCc( N ) <= ceil( ceil(N/NB_A)/NPCOL )*NB_A
*
*  Arguments
*  =========
*
*  M       (global input) INTEGER
*          The number of rows to be operated on i.e the number of
*          rows of the distributed submatrix sub( A ).  M >= 0.
*
*  P       (global input) INTEGER
*          The number of rows to be operated on i.e the number of
*          rows of the distributed submatrix sub( B ).  P >= 0.
*
*  N       (global input) INTEGER
*          The number of columns to be operated on i.e the number of
*          columns of the distributed submatrices sub( A ) and sub( B ).
*          N >= 0.
*
*  A       (local input/local output) REAL pointer into the
*          local memory to an array of dimension (LLD_A, LOCc(JA+N-1)).
*          On entry, the local pieces of the M-by-N distributed matrix
*          sub( A ) which is to be factored. On exit, if M <= N, the
*          upper triangle of A( IA:IA+M-1, JA+N-M:JA+N-1 ) contains the
*          M by M upper triangular matrix R; if M >= N, the elements on
*          and above the (M-N)-th subdiagonal contain the M by N upper
*          trapezoidal matrix R; the remaining elements, with the array
*          TAUA, represent the orthogonal matrix Q as a product of
*          elementary reflectors (see Further Details).
*
*  IA      (global input) INTEGER
*          The row index in the global array A indicating the first
*          row of sub( A ).
*
*  JA      (global input) INTEGER
*          The column index in the global array A indicating the
*          first column of sub( A ).
*
*  DESCA   (global and local input) INTEGER array of dimension DLEN_.
*          The array descriptor for the distributed matrix A.
*
*  TAUA    (local output) REAL, array, dimension LOCr(IA+M-1)
*          This array contains the scalar factors of the elementary
*          reflectors which represent the orthogonal unitary matrix Q.
*          TAUA is tied to the distributed matrix A (see Further
*          Details).
*
*  B       (local input/local output) REAL pointer into the
*          local memory to an array of dimension (LLD_B, LOCc(JB+N-1)).
*          On entry, the local pieces of the P-by-N distributed matrix
*          sub( B ) which is to be factored.  On exit, the elements on
*          and above the diagonal of sub( B ) contain the min(P,N) by N
*          upper trapezoidal matrix T (T is upper triangular if P >= N);
*          the elements below the diagonal, with the array TAUB,
*          represent the orthogonal matrix Z as a product of elementary
*          reflectors (see Further Details).
*
*  IB      (global input) INTEGER
*          The row index in the global array B indicating the first
*          row of sub( B ).
*
*  JB      (global input) INTEGER
*          The column index in the global array B indicating the
*          first column of sub( B ).
*
*  DESCB   (global and local input) INTEGER array of dimension DLEN_.
*          The array descriptor for the distributed matrix B.
*
*  TAUB    (local output) REAL, array, dimension
*          LOCc(JB+MIN(P,N)-1). This array contains the scalar factors
*          TAUB of the elementary reflectors which represent the
*          orthogonal matrix Z. TAUB is tied to the distributed matrix
*          B (see Further Details).
*
*  WORK    (local workspace/local output) REAL array,
*                                                   dimension (LWORK)
*          On exit, WORK(1) returns the minimal and optimal LWORK.
*
*  LWORK   (local or global input) INTEGER
*          The dimension of the array WORK.
*          LWORK is local input and must be at least
*          LWORK >= MAX( MB_A * ( MpA0 + NqA0 + MB_A ),
*                        MAX( (MB_A*(MB_A-1))/2, (PpB0 + NqB0)*MB_A ) +
*                             MB_A * MB_A,
*                        NB_B * ( PpB0 + NqB0 + NB_B ) ), where
*
*          IROFFA = MOD( IA-1, MB_A ), ICOFFA = MOD( JA-1, NB_A ),
*          IAROW  = INDXG2P( IA, MB_A, MYROW, RSRC_A, NPROW ),
*          IACOL  = INDXG2P( JA, NB_A, MYCOL, CSRC_A, NPCOL ),
*          MpA0   = NUMROC( M+IROFFA, MB_A, MYROW, IAROW, NPROW ),
*          NqA0   = NUMROC( N+ICOFFA, NB_A, MYCOL, IACOL, NPCOL ),
*
*          IROFFB = MOD( IB-1, MB_B ), ICOFFB = MOD( JB-1, NB_B ),
*          IBROW  = INDXG2P( IB, MB_B, MYROW, RSRC_B, NPROW ),
*          IBCOL  = INDXG2P( JB, NB_B, MYCOL, CSRC_B, NPCOL ),
*          PpB0   = NUMROC( P+IROFFB, MB_B, MYROW, IBROW, NPROW ),
*          NqB0   = NUMROC( N+ICOFFB, NB_B, MYCOL, IBCOL, NPCOL ),
*
*          and NUMROC, INDXG2P are ScaLAPACK tool functions;
*          MYROW, MYCOL, NPROW and NPCOL can be determined by calling
*          the subroutine BLACS_GRIDINFO.
*
*          If LWORK = -1, then LWORK is global input and a workspace
*          query is assumed; the routine only calculates the minimum
*          and optimal size for all work arrays. Each of these
*          values is returned in the first entry of the corresponding
*          work array, and no error message is issued by PXERBLA.
*
*  INFO    (global output) INTEGER
*          = 0:  successful exit
*          < 0:  If the i-th argument is an array and the j-entry had
*                an illegal value, then INFO = -(i*100+j), if the i-th
*                argument is a scalar and had an illegal value, then
*                INFO = -i.
*
*  Further Details
*  ===============
*
*  The matrix Q is represented as a product of elementary reflectors
*
*     Q = H(ia) H(ia+1) . . . H(ia+k-1), where k = min(m,n).
*
*  Each H(i) has the form
*
*     H(i) = I - taua * v * v'
*
*  where taua is a real scalar, and v is a real vector with
*  v(n-k+i+1:n) = 0 and v(n-k+i) = 1; v(1:n-k+i-1) is stored on exit in
*  A(ia+m-k+i-1,ja:ja+n-k+i-2), and taua in TAUA(ia+m-k+i-1).
*  To form Q explicitly, use ScaLAPACK subroutine PSORGRQ.
*  To use Q to update another matrix, use ScaLAPACK subroutine PSORMRQ.
*
*  The matrix Z is represented as a product of elementary reflectors
*
*     Z = H(jb) H(jb+1) . . . H(jb+k-1), where k = min(p,n).
*
*  Each H(i) has the form
*
*     H(i) = I - taub * v * v'
*
*  where taub is a real scalar, and v is a real vector with
*  v(1:i-1) = 0 and v(i) = 1; v(i+1:p) is stored on exit in
*  B(ib+i:ib+p-1,jb+i-1), and taub in TAUB(jb+i-1).
*  To form Z explicitly, use ScaLAPACK subroutine PSORGQR.
*  To use Z to update another matrix, use ScaLAPACK subroutine PSORMQR.
*
*  Alignment requirements
*  ======================
*
*  The distributed submatrices sub( A ) and sub( B ) must verify some
*  alignment properties, namely the following expression should be true:
*
*  ( NB_A.EQ.NB_B .AND. ICOFFA.EQ.ICOFFB .AND. IACOL.EQ.IBCOL )
*
*  =====================================================================
*
*     .. Parameters ..
      INTEGER            BLOCK_CYCLIC_2D, CSRC_, CTXT_, DLEN_, DTYPE_,
     $                   lld_, mb_, m_, nb_, n_, rsrc_
      parameter( block_cyclic_2d = 1, dlen_ = 9, dtype_ = 1,
     $                     ctxt_ = 2, m_ = 3, n_ = 4, mb_ = 5, nb_ = 6,
     $                     rsrc_ = 7, csrc_ = 8, lld_ = 9 )
*     .. Local Scalars ..
      LOGICAL            LQUERY
      INTEGER            IACOL, IAROW, IBCOL, IBROW, ICOFFA, ICOFFB,
     $                   ictxt, iroffa, iroffb, lwmin, mpa0, mycol,
     $                   myrow, npcol, nprow, nqa0, nqb0, ppb0
*     ..
*     .. External Subroutines ..
      EXTERNAL           blacs_gridinfo, chk1mat, pchk2mat, psgeqrf,
     $                   psgerqf, psormrq, pxerbla
*     ..
*     .. Local Arrays ..
      INTEGER            IDUM1( 1 ), IDUM2( 1 )
*     ..
*     .. External Functions ..
      INTEGER            INDXG2P, NUMROC
      EXTERNAL           indxg2p, numroc
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          int, max, min, mod, real
*     ..
*     .. Executable Statements ..
*
*     Get grid parameters
*
      ictxt = desca( ctxt_ )
      CALL blacs_gridinfo( ictxt, nprow, npcol, myrow, mycol )
*
*     Test the input parameters
*
      info = 0
      IF( nprow.EQ.-1 ) THEN
         info = -707
      ELSE
         CALL chk1mat( m, 1, n, 3, ia, ja, desca, 7, info )
         CALL chk1mat( p, 2, n, 3, ib, jb, descb, 12, info )
         IF( info.EQ.0 ) THEN
            iroffa = mod( ia-1, desca( mb_ ) )
            icoffa = mod( ja-1, desca( nb_ ) )
            iroffb = mod( ib-1, descb( mb_ ) )
            icoffb = mod( jb-1, descb( nb_ ) )
            iarow = indxg2p( ia, desca( mb_ ), myrow, desca( rsrc_ ),
     $                       nprow )
            iacol = indxg2p( ja, desca( nb_ ), mycol, desca( csrc_ ),
     $                       npcol )
            ibrow = indxg2p( ib, descb( mb_ ), myrow, descb( rsrc_ ),
     $                       nprow )
            ibcol = indxg2p( jb, descb( nb_ ), mycol, descb( csrc_ ),
     $                       npcol )
            mpa0 = numroc( m+iroffa, desca( mb_ ), myrow, iarow, nprow )
            nqa0 = numroc( n+icoffa, desca( nb_ ), mycol, iacol, npcol )
            ppb0 = numroc( p+iroffb, descb( mb_ ), myrow, ibrow, nprow )
            nqb0 = numroc( n+icoffb, descb( nb_ ), mycol, ibcol, npcol )
            lwmin = max( desca( mb_ ) * ( mpa0 + nqa0 + desca( mb_ ) ),
     $        max( max( ( desca( mb_ )*( desca( mb_ ) - 1 ) ) / 2,
     $        ( ppb0 + nqb0 ) * desca( mb_ ) ) +
     $          desca( mb_ ) * desca( mb_ ),
     $        descb( nb_ ) * ( ppb0 + nqb0 + descb( nb_ ) ) ) )
*
            work( 1 ) = real( lwmin )
            lquery = ( lwork.EQ.-1 )
            IF( iacol.NE.ibcol .OR. icoffa.NE.icoffb ) THEN
               info = -11
            ELSE IF( desca( nb_ ).NE.descb( nb_ ) ) THEN
               info = -1204
            ELSE IF( ictxt.NE.descb( ctxt_ ) ) THEN
               info = -1207
            ELSE IF( lwork.LT.lwmin .AND. .NOT.lquery ) THEN
               info = -15
            END IF
         END IF
         IF( lwork.EQ.-1 ) THEN
            idum1( 1 ) = -1
         ELSE
            idum1( 1 ) = 1
         END IF
         idum2( 1 ) = 15
         CALL pchk2mat( m, 1, n, 3, ia, ja, desca, 7, p, 2, n, 3, ib,
     $                  jb, descb, 12, 1, idum1, idum2, info )
      END IF
*
      IF( info.NE.0 ) THEN
         CALL pxerbla( ictxt, 'PSGGRQF', -info )
         RETURN
      ELSE IF( lquery ) THEN
         RETURN
      END IF
*
*     RQ factorization of M-by-N matrix sub( A ): sub( A ) = R*Q
*
      CALL psgerqf( m, n, a, ia, ja, desca, taua, work, lwork, info )
      lwmin = int( work( 1 ) )
*
*     Update sub( B ) := sub( B )*Q'
*
      CALL psormrq( 'Right', 'Transpose', p, n, min( m, n ), a,
     $              max( ia, ia+m-n ), ja, desca, taua, b, ib, jb,
     $              descb, work, lwork, info )
      lwmin = max( lwmin, int( work( 1 ) ) )
*
*     QR factorization of P-by-N matrix sub( B ): sub( B ) = Z*T
*
      CALL psgeqrf( p, n, b, ib, jb, descb, taub, work, lwork, info )
      work( 1 ) = real( max( lwmin, int( work( 1 ) ) ) )
*
      RETURN
*
*     End of PSGGRQF
*
      END