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NAME

       PSLAQGE - equilibrate a general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) using the row
       and scaling factors in the vectors R and C

SYNOPSIS

       SUBROUTINE PSLAQGE( M, N, A, IA, JA, DESCA, R, C, ROWCND, COLCND, AMAX, EQUED )

           CHARACTER       EQUED

           INTEGER         IA, JA, M, N

           REAL            AMAX, COLCND, ROWCND

           INTEGER         DESCA( * )

           REAL            A( * ), C( * ), R( * )

PURPOSE

       PSLAQGE equilibrates a general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) using the  row
       and scaling factors in the vectors R and C.

       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) REAL pointer into the
               local  memory to an array of dimension (LLD_A,LOCc(JA+N-1)) containing on entry the M-by-N matrix
               sub( A ). On exit,  the  equilibrated  distributed  matrix.   See  EQUED  for  the  form  of  the
               equilibrated distributed submatrix.

       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.

       R       (local input) REAL array, dimension LOCr(M_A)
               The  row  scale  factors for sub( A ). R is aligned with the distributed matrix A, and replicated
               across every process column. R is tied to the distributed matrix A.

       C       (local input) REAL array, dimension LOCc(N_A)
               The column scale factors of sub( A ). C is aligned with the distributed matrix A, and  replicated
               down every process row. C is tied to the distributed matrix A.

       ROWCND  (global input) REAL
               The global ratio of the smallest R(i) to the largest R(i), IA <= i <= IA+M-1.

       COLCND  (global input) REAL
               The global ratio of the smallest C(i) to the largest C(i), JA <= j <= JA+N-1.

       AMAX    (global input) REAL
               Absolute value of largest distributed submatrix entry.

       EQUED   (global output) CHARACTER
               Specifies the form of equilibration that was done.  = 'N':  No equilibration
               = 'R':  Row equilibration, i.e., sub( A ) has been pre-
               multiplied by diag(R(IA:IA+M-1)),
               = 'C':  Column equilibration, i.e., sub( A ) has been post-
               multiplied by diag(C(JA:JA+N-1)),
               = 'B':  Both row and column equilibration, i.e., sub( A ) has been replaced by diag(R(IA:IA+M-1))
               * sub( A ) * diag(C(JA:JA+N-1)).

PARAMETERS

       THRESH is a threshold value used to decide if row or column scaling should be done based on the ratio  of
       the  row  or  column  scaling  factors.  If ROWCND < THRESH, row scaling is done, and if COLCND < THRESH,
       column scaling is done.

       LARGE and SMALL are threshold values used to decide if row scaling should be done based on  the  absolute
       size of the largest matrix element.  If AMAX > LARGE or AMAX < SMALL, row scaling is done.