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NAME

       PCGEQPF  -  compute  a  QR  factorization  with column pivoting of a M-by-N distributed matrix sub( A ) =
       A(IA:IA+M-1,JA:JA+N-1)

SYNOPSIS

       SUBROUTINE PCGEQPF( M, N, A, IA, JA, DESCA, IPIV, TAU, WORK, LWORK, RWORK, LRWORK, INFO )

           INTEGER         IA, JA, INFO, LRWORK, LWORK, M, N

           INTEGER         DESCA( * ), IPIV( * )

           REAL            RWORK( * )

           COMPLEX         A( * ), TAU( * ), WORK( * )

PURPOSE

       PCGEQPF computes a QR factorization with column pivoting of a  M-by-N  distributed  matrix  sub(  A  )  =
       A(IA:IA+M-1,JA:JA+N-1):

                              sub( A ) * P = Q * R.

       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.

       N       (global input) INTEGER
               The number of columns to be operated on, i.e. the number of columns of the distributed  submatrix
               sub( A ). 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, the elements  on  and  above
               the  diagonal  of  sub(  A  )  contain  the  min(M,N) by N upper trapezoidal matrix R (R is upper
               triangular if M >= N); the elements below the diagonal, with  the  array  TAU,  repre-  sent  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.

       IPIV    (local output) INTEGER array, dimension LOCc(JA+N-1).
               On exit, if IPIV(I) = K, the local i-th column of sub( A )*P was the global K-th column of sub( A
               ). IPIV is tied to the distributed matrix A.

       TAU     (local output) COMPLEX, array, dimension
               LOCc(JA+MIN(M,N)-1). This array contains the scalar factors TAU of the elementary reflectors. TAU
               is tied to the distributed matrix A.

       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(3,Mp0  +
               Nq0).

               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.

       RWORK   (local workspace/local output) REAL array,
               dimension (LRWORK) On exit, RWORK(1) returns the minimal and optimal LRWORK.

       LRWORK  (local or global input) INTEGER
               The  dimension  of  the  array  RWORK.   LRWORK  is  local  input  and must be at least LRWORK >=
               LOCc(JA+N-1)+Nq0.

               IROFF = MOD( IA-1, MB_A ), ICOFF = MOD( JA-1, NB_A ), IAROW = INDXG2P( IA, MB_A,  MYROW,  RSRC_A,
               NPROW ), IACOL = INDXG2P( JA, NB_A, MYCOL, CSRC_A, NPCOL ), Mp0   = NUMROC( M+IROFF, MB_A, MYROW,
               IAROW, NPROW ), Nq0   = NUMROC( N+ICOFF, NB_A, MYCOL, IACOL,  NPCOL  ),  LOCc(JA+N-1)  =  NUMROC(
               JA+N-1, NB_A, MYCOL, CSRC_A, NPCOL )

               and NUMROC, INDXG2P are ScaLAPACK tool functions; MYROW, MYCOL, NPROW and NPCOL can be determined
               by calling the subroutine BLACS_GRIDINFO.

               If LRWORK = -1, then LRWORK 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(1) H(2) . . . H(n)

       Each H(i) has the form

          H = I - tau * v * v'

       where  tau  is  a  complex  scalar, and v is a complex vector with v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is
       stored on exit in
       A(ia+i-1:ia+m-1,ja+i-1).

       The matrix P is represented in jpvt as follows: If
          jpvt(j) = i
       then the jth column of P is the ith canonical unit vector.