Man Linux: Main Page and Category List

NAME

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

SYNOPSIS

       SUBROUTINE PCGGRQF( 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( * )

           COMPLEX         A( * ), B( * ), TAUA( * ), TAUB( * ), WORK( * )

PURPOSE

       PCGGRQF  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 unitary matrix, Z is a P-by-P unitary 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 conjugate 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) COMPLEX 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  unitary  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) COMPLEX, array, dimension LOCr(IA+M-1)
               This  array  contains  the  scalar  factors  of  the elementary
               reflectors which represent the unitary matrix Q. TAUA  is  tied
               to   the   distributed  matrix  A  (see  Further  Details).   B
               (local input/local  output)  COMPLEX  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
               unitary  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) COMPLEX, array, dimension
               LOCc(JB+MIN(P,N)-1). This array  contains  the  scalar  factors
               TAUB  of  the elementary reflectors which represent the unitary
               matrix Z. TAUB is tied to the distributed matrix B (see Further
               Details).    WORK     (local  workspace/local  output)  COMPLEX
               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 complex scalar, and v is a  complex  vector  with  v(n-
       k+i+1:n) = 0 and v(n-k+i) = 1; conjg(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 PCUNGRQ.
       To use Q to update another matrix, use ScaLAPACK subroutine PCUNMRQ.

       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 complex scalar, and v is a complex 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 PCUNGQR.
       To use Z to update another matrix, use ScaLAPACK subroutine PCUNMQR.

       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 )