PSGGRQF(3)    ScaLAPACK routine of NEC Numeric Library Collection   PSGGRQF(3)



NAME
       PSGGRQF  -  compute  a generalized RQ factorization of an M-by-N matrix
       sub( A ) = A(IA:IA+M-1,JA:JA+N-1)

SYNOPSIS
       SUBROUTINE PSGGRQF( M, P, N, A, IA, JA, DESCA, TAUA, B, IB, JB,  DESCB,
                           TAUB, WORK, LWORK, INFO )

           INTEGER         IA, IB, INFO, JA, JB, LWORK, M, N, P

           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  factor-
       ization  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 vec-
       tor.  This vector stores the information required to establish the map-
       ping 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  col-
       umn.
       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, repre-
               sent the orthogonal matrix Q as a product of elementary reflec-
               tors (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 orthogo-
               nal 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 )




ScaLAPACK routine               31 October 2017                     PSGGRQF(3)