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NAME

       PDGECON  - estimate the reciprocal of the condition number of a general
       distributed real matrix A(IA:IA+N-1,JA:JA+N-1), in either the 1-norm or
       the infinity-norm, using the LU factorization computed by PDGETRF

SYNOPSIS

       SUBROUTINE PDGECON( NORM,  N,  A,  IA,  JA,  DESCA, ANORM, RCOND, WORK,
                           LWORK, IWORK, LIWORK, INFO )

           CHARACTER       NORM

           INTEGER         IA, INFO, JA, LIWORK, LWORK, N

           DOUBLE          PRECISION ANORM, RCOND

           INTEGER         DESCA( * ), IWORK( * )

           DOUBLE          PRECISION A( * ), WORK( * )

PURPOSE

       PDGECON estimates the reciprocal of the condition number of  a  general
       distributed real matrix A(IA:IA+N-1,JA:JA+N-1), in either the 1-norm or
       the infinity-norm, using the LU factorization computed by PDGETRF.

       An estimate is obtained for norm(inv(A(IA:IA+N-1,JA:JA+N-1))), and  the
       reciprocal of the condition number is computed as
                  RCOND = 1 / ( norm( A(IA:IA+N-1,JA:JA+N-1)      ) *
                                norm( inv(A(IA:IA+N-1,JA:JA+N-1)) ) ).

       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

       NORM    (global input) CHARACTER
               Specifies whether the 1-norm condition number or the  infinity-
               norm condition number is required:
               = ’1’ or ’O’:  1-norm
               = ’I’:         Infinity-norm

       N       (global input) INTEGER
               The  order of the distributed matrix A(IA:IA+N-1,JA:JA+N-1).  N
               >= 0.

       A       (local input) DOUBLE PRECISION pointer into the local memory
               to an array of dimension ( LLD_A,  LOCc(JA+N-1)  ).  On  entry,
               this  array  contains  the  local pieces of the factors L and U
               from the factorization A(IA:IA+N-1,JA:JA+N-1) = P*L*U; the unit
               diagonal elements of L are not stored.

       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.

       ANORM   (global input) DOUBLE PRECISION
               If  NORM  =  ’1’ or ’O’, the 1-norm of the original distributed
               matrix A(IA:IA+N-1,JA:JA+N-1).  If NORM =  ’I’,  the  infinity-
               norm of the original distributed matrix A(IA:IA+N-1,JA:JA+N-1).

       RCOND   (global output) DOUBLE PRECISION
               The reciprocal of  the  condition  number  of  the  distributed
               matrix A(IA:IA+N-1,JA:JA+N-1), computed as
               RCOND = 1 / ( norm( A(IA:IA+N-1,JA:JA+N-1)      ) *
               norm( inv(A(IA:IA+N-1,JA:JA+N-1)) ) ).

       WORK    (local workspace/local output) DOUBLE PRECISION 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    >=   2*LOCr(N+MOD(IA-1,MB_A))   +
               2*LOCc(N+MOD(JA-1,NB_A))  +   MAX(   2,   MAX(   NB_A*MAX(   1,
               CEIL(NPROW-1,NPCOL)  ),  LOCc(N+MOD(JA-1,NB_A))  + NB_A*MAX( 1,
               CEIL(NPCOL-1,NPROW) ) ).

               LOCr and LOCc values can be computed using the  ScaLAPACK  tool
               function  NUMROC;  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.

       IWORK   (local workspace/local output) INTEGER array,
               dimension (LIWORK) On exit, IWORK(1) returns  the  minimal  and
               optimal LIWORK.

       LIWORK  (local or global input) INTEGER
               The  dimension  of  the array IWORK.  LIWORK is local input and
               must be at least LIWORK >= LOCr(N+MOD(IA-1,MB_A)).

               If LIWORK = -1, then LIWORK 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.