Provided by: scalapack-doc_1.5-10_all bug

NAME

       PCGERFS  -  improve  the  computed solution to a system of linear equations and provides error bounds and
       backward error estimates for the solutions

SYNOPSIS

       SUBROUTINE PCGERFS( TRANS, N, NRHS, A, IA, JA, DESCA, AF, IAF, JAF, DESCAF, IPIV, B, IB,  JB,  DESCB,  X,
                           IX, JX, DESCX, FERR, BERR, WORK, LWORK, RWORK, LRWORK, INFO )

           CHARACTER       TRANS

           INTEGER         IA, IAF, IB, IX, INFO, JA, JAF, JB, JX, LRWORK, LWORK, N, NRHS

           INTEGER         DESCA( * ), DESCAF( * ), DESCB( * ), DESCX( * ), IPIV( * )

           REAL            BERR( * ), FERR( * ), RWORK( * )

           COMPLEX         A( * ), AF( * ), B( * ), WORK( * ), X( * )

PURPOSE

       PCGERFS  improves  the  computed  solution  to a system of linear equations and provides error bounds and
       backward error estimates for the solutions.

       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

       In the following comments, sub( A ), sub( X ) and sub( B )  denote  respectively  A(IA:IA+N-1,JA:JA+N-1),
       X(IX:IX+N-1,JX:JX+NRHS-1) and B(IB:IB+N-1,JB:JB+NRHS-1).

ARGUMENTS

       TRANS   (global input) CHARACTER*1
               Specifies  the  form  of  the  system  of  equations.   =  'N':  sub(  A  ) * sub( X ) = sub( B )
               (No transpose)
               = 'T': sub( A )**T * sub( X ) = sub( B )          (Transpose)
               = 'C': sub( A )**H * sub( X ) = sub( B ) (Conjugate transpose)

       N       (global input) INTEGER
               The order of the matrix sub( A ). N >= 0.

       NRHS    (global input) INTEGER
               The number of right hand sides, i.e., the number of columns of the matrices sub( B ) and  sub(  X
               ).  NRHS >= 0.

       A       (local input) COMPLEX pointer into the local
               memory to an array of local dimension (LLD_A,LOCc(JA+N-1)).  This array contains the local pieces
               of the distributed matrix sub( A ).

       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.

       AF      (local input) COMPLEX pointer into the local
               memory to an array of local dimension  (LLD_AF,LOCc(JA+N-1)).   This  array  contains  the  local
               pieces of the distributed factors of the matrix sub( A ) = P * L * U as computed by PCGETRF.

       IAF     (global input) INTEGER
               The row index in the global array AF indicating the first row of sub( AF ).

       JAF     (global input) INTEGER
               The column index in the global array AF indicating the first column of sub( AF ).

       DESCAF  (global and local input) INTEGER array of dimension DLEN_.
               The array descriptor for the distributed matrix AF.

       IPIV    (local input) INTEGER array of dimension LOCr(M_AF)+MB_AF.
               This  array  contains  the pivoting information as computed by PCGETRF. IPIV(i) -> The global row
               local row i was swapped with. This array is tied to the distributed matrix A.

       B       (local input) COMPLEX pointer into the local
               memory to an array of local dimension (LLD_B,LOCc(JB+NRHS-1)).  This  array  contains  the  local
               pieces of the distributed matrix of right hand sides sub( B ).

       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.

       X       (local input and output) COMPLEX pointer into the
               local  memory  to  an  array  of  local  dimension  (LLD_X,LOCc(JX+NRHS-1)). On entry, this array
               contains the local pieces of the distributed matrix solution sub( X  ).  On  exit,  the  improved
               solution vectors.

       IX      (global input) INTEGER
               The row index in the global array X indicating the first row of sub( X ).

       JX      (global input) INTEGER
               The column index in the global array X indicating the first column of sub( X ).

       DESCX   (global and local input) INTEGER array of dimension DLEN_.
               The array descriptor for the distributed matrix X.

       FERR    (local output) REAL array of local dimension
               LOCc(JB+NRHS-1).   The  estimated  forward  error bound for each solution vector of sub( X ).  If
               XTRUE is the true solution corresponding to sub( X ), FERR is an estimated upper  bound  for  the
               magnitude  of  the  largest element in (sub( X ) - XTRUE) divided by the magnitude of the largest
               element in sub( X ).  The estimate is as reliable as the estimate for RCOND, and is almost always
               a slight overestimate of the true error.  This array is tied to the distributed matrix X.

       BERR    (local output) REAL array of local dimension
               LOCc(JB+NRHS-1).  The  componentwise  relative  backward error of each solution vector (i.e., the
               smallest re- lative change in any entry of sub( A ) or sub( B ) that makes  sub(  X  )  an  exact
               solution).  This array is tied to the distributed matrix X.

       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 >= 2*LOCr( N +
               MOD(IA-1,MB_A) )

               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 >= LOCr( N +
               MOD(IB-1,MB_B) ).

               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.

PARAMETERS

       ITMAX is the maximum number of steps of iterative refinement.

       Notes =====

       This routine temporarily returns when N <= 1.

       The distributed submatrices op( A ) and op( AF ) (respectively sub(  X  )  and  sub(  B  )  )  should  be
       distributed  the  same  way  on  the  same processes. These conditions ensure that sub( A ) and sub( AF )
       (resp. sub( X ) and sub( B ) ) are "perfectly" aligned.

       Moreover, this routine requires the distributed submatrices sub( A ), sub( AF ), sub( X ), and sub(  B  )
       to be aligned on a block boundary, i.e., if f(x,y) = MOD( x-1, y ): f( IA, DESCA( MB_ ) ) = f( JA, DESCA(
       NB_ ) ) = 0, f( IAF, DESCAF( MB_ ) ) = f( JAF, DESCAF( NB_ ) ) = 0, f( IB, DESCB( MB_ ) ) = f( JB, DESCB(
       NB_ ) ) = 0, and f( IX, DESCX( MB_ ) ) = f( JX, DESCX( NB_ ) ) = 0.