psblas3/base/psblas/psb_dnrmi.f90

!!$ 
!!$              Parallel Sparse BLAS  version 3.0
!!$    (C) Copyright 2006, 2007, 2008, 2009, 2010, 2012
!!$                       Salvatore Filippone    University of Rome Tor Vergata
!!$                       Alfredo Buttari        CNRS-IRIT, Toulouse
!!$ 
!!$  Redistribution and use in source and binary forms, with or without
!!$  modification, are permitted provided that the following conditions
!!$  are met:
!!$    1. Redistributions of source code must retain the above copyright
!!$       notice, this list of conditions and the following disclaimer.
!!$    2. Redistributions in binary form must reproduce the above copyright
!!$       notice, this list of conditions, and the following disclaimer in the
!!$       documentation and/or other materials provided with the distribution.
!!$    3. The name of the PSBLAS group or the names of its contributors may
!!$       not be used to endorse or promote products derived from this
!!$       software without specific written permission.
!!$ 
!!$  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
!!$  ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
!!$  TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
!!$  PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE PSBLAS GROUP OR ITS CONTRIBUTORS
!!$  BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
!!$  CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
!!$  SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
!!$  INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
!!$  CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
!!$  ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
!!$  POSSIBILITY OF SUCH DAMAGE.
!!$ 
!!$  
! File: psb_dnrmi.f90
!
! Function: psb_dnrmi
!    Forms the infinity norm of a sparse matrix,                           
!
!    nrmi := max_i(abs(sum(A(i,:))))                                              
!
! Arguments:
!    a      -  type(psb_dspmat_type).   The sparse matrix containing A.
!    desc_a -  type(psb_desc_type).     The communication descriptor.
!    info   -  integer.                   Return code
!
function psb_dnrmi(a,desc_a,info)  result(res)
  use psb_base_mod, psb_protect_name => psb_dnrmi
  implicit none

  type(psb_dspmat_type), intent(in) :: a
  integer(psb_ipk_), intent(out)    :: info
  type(psb_desc_type), intent(in)   :: desc_a
  real(psb_dpk_)                    :: res

  ! locals
  integer(psb_ipk_) :: ictxt, np, me,&
       & err_act, n, iia, jja, ia, ja, mdim, ndim, m
  character(len=20)        :: name, ch_err

  name='psb_dnrmi'
  if(psb_get_errstatus() /= 0) return 
  info=psb_success_
  call psb_erractionsave(err_act)

  ictxt=desc_a%get_context()

  call psb_info(ictxt, me, np)
  if (np == -1) then
    info = psb_err_context_error_
    call psb_errpush(info,name)
    goto 9999
  endif

  ia = 1
  ja = 1
  m = desc_a%get_global_rows()
  n = desc_a%get_global_cols()

  call psb_chkmat(m,n,ia,ja,desc_a,info,iia,jja)
  if(info /= psb_success_) then
    info=psb_err_from_subroutine_
    ch_err='psb_chkmat'
    call psb_errpush(info,name,a_err=ch_err)
    goto 9999
  end if

  if ((iia /= 1).or.(jja /= 1)) then
    info=psb_err_ix_n1_iy_n1_unsupported_
    call psb_errpush(info,name)
    goto 9999
  end if

  if ((m /= 0).and.(n /= 0)) then
    res = a%csnmi()
    if(info /= psb_success_) then
      info=psb_err_from_subroutine_
      ch_err='psb_dnrmi'
      call psb_errpush(info,name,a_err=ch_err)
      goto 9999
    end if
  else
    res = dzero
  end if

  ! compute global max
  call psb_amx(ictxt, res)

  call psb_erractionrestore(err_act)
  return  

9999 continue
  call psb_erractionrestore(err_act)

  if (err_act == psb_act_abort_) then
    call psb_error(ictxt)
    return
  end if
  return
end function psb_dnrmi