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amg4psblas/mlprec/impl/solver/mld_z_bwgs_solver_apply_vec...

201 lines
6.8 KiB
Fortran

!!$
!!$
!!$ MLD2P4 version 2.0
!!$ MultiLevel Domain Decomposition Parallel Preconditioners Package
!!$ based on PSBLAS (Parallel Sparse BLAS version 3.3)
!!$
!!$ (C) Copyright 2008, 2010, 2012, 2015
!!$
!!$ Salvatore Filippone 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_z_bwgs_solver_apply_vect(alpha,sv,x,beta,y,desc_data,trans,work,info)
use psb_base_mod
use mld_z_gs_solver, mld_protect_name => mld_z_bwgs_solver_apply_vect
implicit none
type(psb_desc_type), intent(in) :: desc_data
class(mld_z_bwgs_solver_type), intent(inout) :: sv
type(psb_z_vect_type),intent(inout) :: x
type(psb_z_vect_type),intent(inout) :: y
complex(psb_dpk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
complex(psb_dpk_),target, intent(inout) :: work(:)
integer(psb_ipk_), intent(out) :: info
integer(psb_ipk_) :: n_row,n_col, itx
type(psb_z_vect_type) :: wv, xit
complex(psb_dpk_), pointer :: ww(:), aux(:), tx(:),ty(:)
complex(psb_dpk_), allocatable :: temp(:)
integer(psb_ipk_) :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='d_bwgs_solver_apply'
call psb_erractionsave(err_act)
ictxt = desc_data%get_ctxt()
call psb_info(ictxt,me,np)
info = psb_success_
trans_ = psb_toupper(trans)
select case(trans_)
case('N')
!!$ case('T')
!!$ case('C')
case default
call psb_errpush(psb_err_iarg_invalid_i_,name)
goto 9999
end select
n_row = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
if (x%get_nrows() < n_row) then
info = 36
call psb_errpush(info,name,&
& i_err=(/itwo,n_row,izero,izero,izero/))
goto 9999
end if
if (y%get_nrows() < n_row) then
info = 36
call psb_errpush(info,name,&
& i_err=(/ithree,n_row,izero,izero,izero/))
goto 9999
end if
if (n_col <= size(work)) then
ww => work(1:n_col)
if ((4*n_col+n_col) <= size(work)) then
aux => work(n_col+1:)
else
allocate(aux(4*n_col),stat=info)
endif
else
allocate(ww(n_col),aux(4*n_col),stat=info)
endif
if (info /= psb_success_) then
info=psb_err_alloc_request_
call psb_errpush(info,name,&
& i_err=(/5*n_col,izero,izero,izero,izero/),&
& a_err='complex(psb_dpk_)')
goto 9999
end if
call psb_geasb(wv,desc_data,info,mold=x%v,scratch=.true.)
call psb_geasb(xit,desc_data,info,mold=x%v,scratch=.true.)
select case(trans_)
case('N')
if (sv%eps <=dzero) then
!
! Fixed number of iterations
!
!
! WARNING: this is not completely satisfactory. We are assuming here Y
! as the initial guess, but this is only working if we are called from the
! current JAC smoother loop. A good solution would be to have a separate
! input argument as the initial guess
!
!!$ write(0,*) 'GS Iteration with ',sv%sweeps
call psb_geaxpby(zone,y,zzero,xit,desc_data,info)
do itx=1,sv%sweeps
call psb_geaxpby(zone,x,zzero,wv,desc_data,info)
! Update with L. The off-diagonal block is taken care
! from the Jacobi smoother, hence this is purely local.
call psb_spmm(-zone,sv%l,xit,zone,wv,desc_data,info,doswap=.false.)
call psb_spsm(zone,sv%u,wv,zzero,xit,desc_data,info)
!!$ temp = xit%get_vect()
!!$ write(0,*) me,'GS Iteration ',itx,':',temp(1:n_row)
end do
call psb_geaxpby(alpha,xit,beta,y,desc_data,info)
else
!
! Iterations to convergence, not implemented right now.
!
info = psb_err_internal_error_
call psb_errpush(info,name,a_err='EPS>0 not implemented in GS subsolve')
goto 9999
end if
!!$ case('T')
!!$ call psb_spsm(zone,sv%u,x,zzero,wv,desc_data,info,&
!!$ & trans=trans_,scale='L',diag=sv%dv,choice=psb_none_,work=aux)
!!$ if (info == psb_success_) call psb_spsm(alpha,sv%l,wv,beta,y,desc_data,info,&
!!$ & trans=trans_,scale='U',choice=psb_none_,work=aux)
!!$
!!$ case('C')
!!$
!!$ call psb_spsm(zone,sv%u,x,zzero,wv,desc_data,info,&
!!$ & trans=trans_,scale='U',choice=psb_none_,work=aux)
!!$
!!$ call wv1%mlt(zone,sv%dv,wv,zzero,info,conjgx=trans_)
!!$
!!$ if (info == psb_success_) call psb_spsm(alpha,sv%l,wv1,beta,y,desc_data,info,&
!!$ & trans=trans_,scale='U',choice=psb_none_,work=aux)
case default
info = psb_err_internal_error_
call psb_errpush(info,name,&
& a_err='Invalid TRANS in GS subsolve')
goto 9999
end select
if (info /= psb_success_) then
call psb_errpush(psb_err_internal_error_,name,&
& a_err='Error in subsolve')
goto 9999
endif
call wv%free(info)
call xit%free(info)
if (n_col <= size(work)) then
if ((4*n_col+n_col) <= size(work)) then
else
deallocate(aux)
endif
else
deallocate(ww,aux)
endif
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(err_act)
return
end subroutine mld_z_bwgs_solver_apply_vect