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218 lines
8.2 KiB
Fortran
218 lines
8.2 KiB
Fortran
!
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!
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! MLD2P4 version 2.2
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! MultiLevel Domain Decomposition Parallel Preconditioners Package
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! based on PSBLAS (Parallel Sparse BLAS version 3.5)
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!
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! (C) Copyright 2008-2018
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!
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! Salvatore Filippone
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! Pasqua D'Ambra
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! Daniela di Serafino
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!
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! Redistribution and use in source and binary forms, with or without
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! modification, are permitted provided that the following conditions
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! are met:
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! 1. Redistributions of source code must retain the above copyright
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! notice, this list of conditions and the following disclaimer.
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! 2. Redistributions in binary form must reproduce the above copyright
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! notice, this list of conditions, and the following disclaimer in the
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! documentation and/or other materials provided with the distribution.
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! 3. The name of the MLD2P4 group or the names of its contributors may
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! not be used to endorse or promote products derived from this
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! software without specific written permission.
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!
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! THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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! ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
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! TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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! PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE MLD2P4 GROUP OR ITS CONTRIBUTORS
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! BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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! CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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! SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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! INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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! CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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! ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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! POSSIBILITY OF SUCH DAMAGE.
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!
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!
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! File: mld_caggrmat_nosmth_bld.F90
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!
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! Subroutine: mld_caggrmat_nosmth_bld
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! Version: complex
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!
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! This routine builds a coarse-level matrix A_C from a fine-level matrix A
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! by using the Galerkin approach, i.e.
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!
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! A_C = P_C^T A P_C,
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!
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! where P_C is the piecewise constant interpolation operator corresponding
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! the fine-to-coarse level mapping built by mld_aggrmap_bld.
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!
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! The coarse-level matrix A_C is distributed among the parallel processes or
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! replicated on each of them, according to the value of p%parms%coarse_mat
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! specified by the user through mld_cprecinit and mld_zprecset.
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! On output from this routine the entries of AC, op_prol, op_restr
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! are still in "global numbering" mode; this is fixed in the calling routine
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! aggregator%mat_bld.
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!
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! For details see
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! P. D'Ambra, D. di Serafino and S. Filippone, On the development of
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! PSBLAS-based parallel two-level Schwarz preconditioners, Appl. Num. Math.,
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! 57 (2007), 1181-1196.
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!
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!
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! Arguments:
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! a - type(psb_cspmat_type), input.
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! The sparse matrix structure containing the local part of
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! the fine-level matrix.
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! desc_a - type(psb_desc_type), input.
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! The communication descriptor of the fine-level matrix.
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! p - type(mld_c_onelev_type), input/output.
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! The 'one-level' data structure that will contain the local
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! part of the matrix to be built as well as the information
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! concerning the prolongator and its transpose.
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! parms - type(mld_sml_parms), input
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! Parameters controlling the choice of algorithm
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! ac - type(psb_cspmat_type), output
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! The coarse matrix on output
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!
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! ilaggr - integer, dimension(:), input
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! The mapping between the row indices of the coarse-level
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! matrix and the row indices of the fine-level matrix.
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! ilaggr(i)=j means that node i in the adjacency graph
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! of the fine-level matrix is mapped onto node j in the
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! adjacency graph of the coarse-level matrix. Note that the indices
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! are assumed to be shifted so as to make sure the ranges on
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! the various processes do not overlap.
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! nlaggr - integer, dimension(:) input
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! nlaggr(i) contains the aggregates held by process i.
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! op_prol - type(psb_cspmat_type), input/output
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! The tentative prolongator on input, the computed prolongator on output
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!
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! op_restr - type(psb_cspmat_type), output
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! The restrictor operator; normally, it is the transpose of the prolongator.
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!
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! info - integer, output.
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! Error code.
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!
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!
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subroutine mld_caggrmat_nosmth_bld(a,desc_a,ilaggr,nlaggr,parms,ac,op_prol,op_restr,info)
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use psb_base_mod
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use mld_base_prec_type
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use mld_c_inner_mod, mld_protect_name => mld_caggrmat_nosmth_bld
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use mld_c_base_aggregator_mod
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implicit none
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! Arguments
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type(psb_cspmat_type), intent(in) :: a
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type(psb_desc_type), intent(in) :: desc_a
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integer(psb_lpk_), intent(inout) :: ilaggr(:), nlaggr(:)
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type(mld_sml_parms), intent(inout) :: parms
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type(psb_lcspmat_type), intent(inout) :: op_prol
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type(psb_lcspmat_type), intent(out) :: ac,op_restr
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integer(psb_ipk_), intent(out) :: info
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! Local variables
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integer(psb_ipk_) :: err_act
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integer(psb_ipk_) :: ictxt, np, me, icomm, minfo
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character(len=20) :: name
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integer(psb_ipk_) :: ierr(5)
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type(psb_lcspmat_type) :: la
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type(psb_lc_coo_sparse_mat) :: ac_coo, tmpcoo, coo_prol, coo_restr
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type(psb_lc_csr_sparse_mat) :: acsr1, acsr2, acsr
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type(psb_desc_type) :: tmp_desc
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integer(psb_ipk_) :: debug_level, debug_unit
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integer(psb_lpk_) :: nrow, nglob, ncol, ntaggr, nzl, ip, &
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& naggr, nzt, naggrm1, naggrp1, i, k
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integer(psb_ipk_) :: inaggr, nzlp
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name = 'mld_aggrmat_nosmth_bld'
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info = psb_success_
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call psb_erractionsave(err_act)
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if (psb_errstatus_fatal()) then
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info = psb_err_internal_error_; goto 9999
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end if
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ictxt = desc_a%get_context()
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icomm = desc_a%get_mpic()
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call psb_info(ictxt, me, np)
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nglob = desc_a%get_global_rows()
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nrow = desc_a%get_local_rows()
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ncol = desc_a%get_local_cols()
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naggr = nlaggr(me+1)
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ntaggr = sum(nlaggr)
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naggrm1 = sum(nlaggr(1:me))
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naggrp1 = sum(nlaggr(1:me+1))
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if (.false.) then
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call a%cp_to(acsr)
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call op_prol%mv_to(coo_prol)
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inaggr = naggr
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call psb_cdall(ictxt,tmp_desc,info,nl=inaggr)
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nzlp = coo_prol%get_nzeros()
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call tmp_desc%indxmap%g2lip_ins(coo_prol%ja(1:nzlp),info)
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call coo_prol%set_ncols(tmp_desc%get_local_cols())
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call mld_spmm_bld_inner(acsr,desc_a,nlaggr,parms,ac,&
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& coo_prol,tmp_desc,coo_restr,info)
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call op_prol%mv_from(coo_prol)
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call op_restr%mv_from(coo_restr)
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else
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call a%cp_to(ac_coo)
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nzt = ac_coo%get_nzeros()
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k = 0
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do i = 1, nzt
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k = k + 1
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ac_coo%ia(k) = ilaggr(ac_coo%ia(i))
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ac_coo%ja(k) = ilaggr(ac_coo%ja(i))
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ac_coo%val(k) = ac_coo%val(i)
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! At this point, there may be negative entries,
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! because that's how ILAGGR marks singletons
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! If this is the case, roll back K
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if ((ac_coo%ia(k)<=0).or.(ac_coo%ja(k)<=0)) k = k-1
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enddo
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call ac_coo%set_nrows(naggr)
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call ac_coo%set_ncols(naggr)
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call ac_coo%set_nzeros(k)
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call ac_coo%set_dupl(psb_dupl_add_)
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call ac_coo%fix(info)
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call ac_coo%trim()
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call ac%mv_from(ac_coo)
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call op_prol%cp_to(tmpcoo)
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call tmpcoo%transp()
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!
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! Now we have to fix this. The only rows of tmpcoo/op_restr that are correct
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! are those corresponding to "local" aggregates, i.e. indices in ilaggr(:)
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!
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nzl = tmpcoo%get_nzeros()
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i = 0
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do k = 1, nzl
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if ((naggrm1 < tmpcoo%ia(k)) .and.(tmpcoo%ia(k) <= naggrp1)) then
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i = i+1
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tmpcoo%val(i) = tmpcoo%val(k)
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tmpcoo%ia(i) = tmpcoo%ia(k)
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tmpcoo%ja(i) = tmpcoo%ja(k)
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end if
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end do
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call tmpcoo%set_nzeros(i)
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call tmpcoo%trim()
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call op_restr%mv_from(tmpcoo)
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if (info /= psb_success_) goto 9999
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end if
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call psb_erractionrestore(err_act)
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return
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9999 call psb_error_handler(err_act)
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return
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end subroutine mld_caggrmat_nosmth_bld
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