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PCLAQSY(l)			       )			    PCLAQSY(l)

NAME
       PCLAQSY	-  equilibrate	a  symmetric  distributed  matrix  sub(	 A ) =
       A(IA:IA+N-1,JA:JA+N-1) using the scaling factors in the vectors SR  and
       SC

SYNOPSIS
       SUBROUTINE PCLAQSY( UPLO,  N,  A,  IA,  JA, DESCA, SR, SC, SCOND, AMAX,
			   EQUED )

	   CHARACTER	   EQUED, UPLO

	   INTEGER	   IA, JA, N

	   REAL		   AMAX, SCOND

	   INTEGER	   DESCA( * )

	   REAL		   SC( * ), SR( * )

	   COMPLEX	   A( * )

PURPOSE
       PCLAQSY	equilibrates  a	 symmetric  distributed	 matrix	 sub(  A  )  =
       A(IA:IA+N-1,JA:JA+N-1)  using the scaling factors in the vectors SR and
       SC.  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
       UPLO    (global input) CHARACTER
	       Specifies  whether  the	upper  or lower triangular part of the
	       symmetric distributed matrix sub( A ) is to be referenced:
	       = 'U':  Upper triangular
	       = 'L':  Lower triangular

       N       (global input) INTEGER
	       The number of rows and columns to  be  operated	on,  i.e.  the
	       order of the distributed submatrix sub( A ). N >= 0.

       A       (input/output) COMPLEX pointer into the local
	       memory to an array of local dimension (LLD_A,LOCc(JA+N-1)).  On
	       entry, the local pieces of  the	distributed  symmetric	matrix
	       sub(  A	).  If UPLO = 'U', the leading N-by-N upper triangular
	       part of sub( A ) contains the  upper  triangular	 part  of  the
	       matrix,	and  the strictly lower triangular part of sub( A ) is
	       not referenced.	If UPLO = 'L', the leading N-by-N lower trian‐
	       gular  part  of	sub( A ) contains the lower triangular part of
	       the matrix, and the strictly upper trian- gular part of sub(  A
	       ) is not referenced.  On exit, if EQUED = 'Y', the equilibrated
	       matrix:
	       diag(SR(IA:IA+N-1)) * sub( A ) * diag(SC(JA:JA+N-1)).

       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.

       SR      (local input) REAL array, dimension LOCr(M_A)
	       The scale factors for  A(IA:IA+M-1,JA:JA+N-1).  SR  is  aligned
	       with  the  distributed  matrix  A,  and replicated across every
	       process column. SR is tied to the distributed matrix A.

       SC      (local input) REAL array, dimension LOCc(N_A)
	       The scale factors for sub( A ). SC is  aligned  with  the  dis-
	       tributed	 matrix	 A, and replicated down every process row.  SC
	       is tied to the distributed matrix A.

       SCOND   (global input) REAL
	       Ratio of the smallest SR(i) (respectively SC(j)) to the largest
	       SR(i)  (respectively SC(j)), with IA <= i <= IA+N-1 and JA <= j
	       <= JA+N-1.

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

       EQUED   (output) CHARACTER*1
	       Specifies whether or not equilibration was done.	  =  'N':   No
	       equilibration.
	       = 'Y':  Equilibration was done, i.e., sub( A ) has been re-
	       placed by:
	       diag(SR(IA:IA+N-1)) * sub( A ) * diag(SC(JA:JA+N-1)).

PARAMETERS
       THRESH  is  a  threshold value used to decide if scaling should be done
       based on the ratio of the scaling factors.  If SCOND < THRESH,  scaling
       is done.

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

ScaLAPACK version 1.7		13 August 2001			    PCLAQSY(l)
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