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amg4psblas/mlprec/impl/smoother/mld_d_as_smoother_cnv.f90

99 lines
3.9 KiB
Fortran

!!$
!!$
!!$ MLD2P4 version 2.1
!!$ MultiLevel Domain Decomposition Parallel Preconditioners Package
!!$ based on PSBLAS (Parallel Sparse BLAS version 3.4)
!!$
!!$ (C) Copyright 2008, 2010, 2012, 2015, 2017
!!$
!!$ Salvatore Filippone Cranfield University
!!$ Ambra Abdullahi Hassan University of Rome Tor Vergata
!!$ Alfredo Buttari CNRS-IRIT, Toulouse
!!$ Pasqua D'Ambra ICAR-CNR, Naples
!!$ Daniela di Serafino Second University of Naples
!!$
!!$ 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 MLD2P4 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 MLD2P4 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.
!!$
!!$
subroutine mld_d_as_smoother_cnv(sm,info,amold,vmold,imold)
use psb_base_mod
use mld_d_as_smoother, mld_protect_nam => mld_d_as_smoother_cnv
Implicit None
! Arguments
class(mld_d_as_smoother_type), intent(inout) :: sm
integer(psb_ipk_), intent(out) :: info
class(psb_d_base_sparse_mat), intent(in), optional :: amold
class(psb_d_base_vect_type), intent(in), optional :: vmold
class(psb_i_base_vect_type), intent(in), optional :: imold
! Local variables
type(psb_dspmat_type) :: blck, atmp
integer(psb_ipk_) :: n_row,n_col, nrow_a, nhalo, novr, data_, nzeros
real(psb_dpk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer(psb_ipk_) :: ictxt,np,me,i, err_act, debug_unit, debug_level
character(len=20) :: name='d_as_smoother_cnv', ch_err
info=psb_success_
call psb_erractionsave(err_act)
debug_unit = psb_get_debug_unit()
debug_level = psb_get_debug_level()
ictxt = sm%desc_data%get_context()
call psb_info(ictxt, me, np)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' start'
if (allocated(sm%sv)) &
& call sm%sv%cnv(info,amold=amold,vmold=vmold,imold=imold)
if (info == psb_success_) then
if (present(amold)) then
call sm%nd%cscnv(info,&
& mold=amold,dupl=psb_dupl_add_)
end if
end if
if (info == psb_success_) then
if (present(imold)) then
call sm%desc_data%cnv(imold)
end if
end if
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='clip & psb_spcnv csr 4')
goto 9999
end if
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' end'
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(err_act)
return
end subroutine mld_d_as_smoother_cnv