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276 lines
10 KiB
Fortran
276 lines
10 KiB
Fortran
!
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!
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! MLD2P4 version 2.1
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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, 2010, 2012, 2015, 2017
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!
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! Salvatore Filippone Cranfield University, UK
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! Pasqua D'Ambra IAC-CNR, Naples, IT
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! Daniela di Serafino University of Campania "L. Vanvitelli", Caserta, IT
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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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!
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! File: mld_s_diag_solver_mod.f90
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!
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! Module: mld_s_diag_solver_mod
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!
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! This module defines:
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! - the mld_s_diag_solver_type data structure containing the
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! simple diagonal solver. This extracts the main diagonal of a matrix
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! and precomputes its inverse. Combined with a Jacobi "smoother" generates
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! what are commonly known as the classic Jacobi iterations
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!
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module mld_s_diag_solver
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use mld_s_base_solver_mod
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type, extends(mld_s_base_solver_type) :: mld_s_diag_solver_type
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type(psb_s_vect_type), allocatable :: dv
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real(psb_spk_), allocatable :: d(:)
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contains
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procedure, pass(sv) :: dump => mld_s_diag_solver_dmp
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procedure, pass(sv) :: build => mld_s_diag_solver_bld
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procedure, pass(sv) :: cnv => mld_s_diag_solver_cnv
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procedure, pass(sv) :: clone => mld_s_diag_solver_clone
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procedure, pass(sv) :: apply_v => mld_s_diag_solver_apply_vect
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procedure, pass(sv) :: apply_a => mld_s_diag_solver_apply
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procedure, pass(sv) :: free => s_diag_solver_free
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procedure, pass(sv) :: descr => s_diag_solver_descr
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procedure, pass(sv) :: sizeof => s_diag_solver_sizeof
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procedure, pass(sv) :: get_nzeros => s_diag_solver_get_nzeros
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procedure, nopass :: get_fmt => s_diag_solver_get_fmt
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procedure, nopass :: get_id => s_diag_solver_get_id
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end type mld_s_diag_solver_type
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private :: s_diag_solver_free, s_diag_solver_descr, &
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& s_diag_solver_sizeof, s_diag_solver_get_nzeros, &
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& s_diag_solver_get_fmt, s_diag_solver_get_id
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interface
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subroutine mld_s_diag_solver_apply_vect(alpha,sv,x,beta,y,desc_data,&
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& trans,work,info,init,initu)
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import :: psb_desc_type, psb_sspmat_type, psb_s_base_sparse_mat, &
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& psb_s_vect_type, psb_s_base_vect_type, psb_spk_, &
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& mld_s_diag_solver_type, psb_ipk_
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type(psb_desc_type), intent(in) :: desc_data
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class(mld_s_diag_solver_type), intent(inout) :: sv
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type(psb_s_vect_type), intent(inout) :: x
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type(psb_s_vect_type), intent(inout) :: y
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real(psb_spk_),intent(in) :: alpha,beta
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character(len=1),intent(in) :: trans
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real(psb_spk_),target, intent(inout) :: work(:)
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integer(psb_ipk_), intent(out) :: info
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character, intent(in), optional :: init
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type(psb_s_vect_type),intent(inout), optional :: initu
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end subroutine mld_s_diag_solver_apply_vect
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end interface
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interface
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subroutine mld_s_diag_solver_apply(alpha,sv,x,beta,y,desc_data,&
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& trans,work,info,init,initu)
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import :: psb_desc_type, psb_sspmat_type, psb_s_base_sparse_mat, &
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& psb_s_vect_type, psb_s_base_vect_type, psb_spk_, &
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& mld_s_diag_solver_type, psb_ipk_
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type(psb_desc_type), intent(in) :: desc_data
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class(mld_s_diag_solver_type), intent(inout) :: sv
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real(psb_spk_), intent(inout) :: x(:)
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real(psb_spk_), intent(inout) :: y(:)
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real(psb_spk_),intent(in) :: alpha,beta
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character(len=1),intent(in) :: trans
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real(psb_spk_),target, intent(inout) :: work(:)
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integer(psb_ipk_), intent(out) :: info
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character, intent(in), optional :: init
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real(psb_spk_),intent(inout), optional :: initu(:)
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end subroutine mld_s_diag_solver_apply
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end interface
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interface
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subroutine mld_s_diag_solver_bld(a,desc_a,sv,info,b,amold,vmold,imold)
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import :: psb_desc_type, psb_sspmat_type, psb_s_base_sparse_mat, &
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& psb_s_vect_type, psb_s_base_vect_type, psb_spk_, &
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& mld_s_diag_solver_type, psb_ipk_, psb_i_base_vect_type
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type(psb_sspmat_type), intent(in), target :: a
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Type(psb_desc_type), Intent(in) :: desc_a
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class(mld_s_diag_solver_type), intent(inout) :: sv
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integer(psb_ipk_), intent(out) :: info
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type(psb_sspmat_type), intent(in), target, optional :: b
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class(psb_s_base_sparse_mat), intent(in), optional :: amold
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class(psb_s_base_vect_type), intent(in), optional :: vmold
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class(psb_i_base_vect_type), intent(in), optional :: imold
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end subroutine mld_s_diag_solver_bld
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end interface
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interface
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subroutine mld_s_diag_solver_cnv(sv,info,amold,vmold,imold)
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import :: psb_s_base_sparse_mat, psb_s_base_vect_type, psb_spk_, &
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& mld_s_diag_solver_type, psb_ipk_, psb_i_base_vect_type
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class(mld_s_diag_solver_type), intent(inout) :: sv
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integer(psb_ipk_), intent(out) :: info
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class(psb_s_base_sparse_mat), intent(in), optional :: amold
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class(psb_s_base_vect_type), intent(in), optional :: vmold
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class(psb_i_base_vect_type), intent(in), optional :: imold
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end subroutine mld_s_diag_solver_cnv
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end interface
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interface
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subroutine mld_s_diag_solver_dmp(sv,ictxt,level,info,prefix,head,solver)
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import :: psb_desc_type, mld_s_diag_solver_type, psb_s_vect_type, psb_spk_, &
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& psb_sspmat_type, psb_s_base_sparse_mat, psb_s_base_vect_type, &
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& psb_ipk_
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implicit none
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class(mld_s_diag_solver_type), intent(in) :: sv
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integer(psb_ipk_), intent(in) :: ictxt
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integer(psb_ipk_), intent(in) :: level
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integer(psb_ipk_), intent(out) :: info
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character(len=*), intent(in), optional :: prefix, head
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logical, optional, intent(in) :: solver
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end subroutine mld_s_diag_solver_dmp
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end interface
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interface
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subroutine mld_s_diag_solver_clone(sv,svout,info)
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import :: psb_desc_type, psb_sspmat_type, psb_s_base_sparse_mat, &
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& psb_s_vect_type, psb_s_base_vect_type, psb_spk_, &
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& mld_s_base_solver_type, mld_s_diag_solver_type, psb_ipk_
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Implicit None
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! Arguments
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class(mld_s_diag_solver_type), intent(inout) :: sv
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class(mld_s_base_solver_type), allocatable, intent(inout) :: svout
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integer(psb_ipk_), intent(out) :: info
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end subroutine mld_s_diag_solver_clone
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end interface
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contains
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subroutine s_diag_solver_free(sv,info)
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Implicit None
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! Arguments
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class(mld_s_diag_solver_type), intent(inout) :: sv
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integer(psb_ipk_), intent(out) :: info
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integer(psb_ipk_) :: err_act
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character(len=20) :: name='s_diag_solver_free'
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call psb_erractionsave(err_act)
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info = psb_success_
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if (allocated(sv%dv)) call sv%dv%free(info)
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if (allocated(sv%d)) then
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deallocate(sv%d,stat=info)
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if (info /= psb_success_) then
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info = psb_err_alloc_dealloc_
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call psb_errpush(info,name)
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goto 9999
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end if
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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 s_diag_solver_free
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subroutine s_diag_solver_descr(sv,info,iout,coarse)
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Implicit None
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! Arguments
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class(mld_s_diag_solver_type), intent(in) :: sv
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integer(psb_ipk_), intent(out) :: info
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integer(psb_ipk_), intent(in), optional :: iout
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logical, intent(in), optional :: coarse
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! Local variables
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integer(psb_ipk_) :: err_act
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character(len=20), parameter :: name='mld_s_diag_solver_descr'
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integer(psb_ipk_) :: iout_
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info = psb_success_
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if (present(iout)) then
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iout_ = iout
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else
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iout_ = psb_out_unit
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endif
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write(iout_,*) ' Diagonal local solver '
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return
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end subroutine s_diag_solver_descr
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function s_diag_solver_sizeof(sv) result(val)
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implicit none
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! Arguments
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class(mld_s_diag_solver_type), intent(in) :: sv
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integer(psb_long_int_k_) :: val
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integer(psb_ipk_) :: i
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val = 0
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if (allocated(sv%dv)) val = val + sv%dv%sizeof()
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return
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end function s_diag_solver_sizeof
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function s_diag_solver_get_nzeros(sv) result(val)
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implicit none
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! Arguments
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class(mld_s_diag_solver_type), intent(in) :: sv
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integer(psb_long_int_k_) :: val
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integer(psb_ipk_) :: i
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val = 0
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if (allocated(sv%dv)) val = val + sv%dv%get_nrows()
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return
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end function s_diag_solver_get_nzeros
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function s_diag_solver_get_fmt() result(val)
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implicit none
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character(len=32) :: val
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val = "Diag solver"
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end function s_diag_solver_get_fmt
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function s_diag_solver_get_id() result(val)
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implicit none
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integer(psb_ipk_) :: val
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val = mld_diag_scale_
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end function s_diag_solver_get_id
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end module mld_s_diag_solver
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