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amg4psblas/tests/pdegen/spde2d.f90

458 lines
18 KiB
Fortran

!!$
!!$
!!$ MLD2P4 version 2.0
!!$ MultiLevel Domain Decomposition Parallel Preconditioners Package
!!$ based on PSBLAS (Parallel Sparse BLAS version 3.0)
!!$
!!$ (C) Copyright 2008,2009,2010,2012
!!$
!!$ 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.
!!$
!!$
! File: spde2d.f90
!
! Program: spde2d
! This sample program solves a linear system obtained by discretizing a
! PDE with Dirichlet BCs.
!
!
! The PDE is a general second order equation in 2d
!
! a1 dd(u) a2 dd(u) b1 d(u) b2 d(u)
! - ------ - ------ ----- + ------ + c u = f
! dxdx dydy dx dy
!
! with Dirichlet boundary conditions
! u = g
!
! on the unit square 0<=x,y<=1.
!
!
! Note that if b1=b2=c=0., the PDE is the Laplace equation.
!
! In this sample program the index space of the discretized
! computational domain is first numbered sequentially in a standard way,
! then the corresponding vector is distributed according to a BLOCK
! data distribution.
!
program spde2d
mld2p4-2: configure examples/fileread/data_input.f90 examples/fileread/mld_cexample_1lev.f90 examples/fileread/mld_cexample_ml.f90 examples/fileread/mld_dexample_1lev.f90 examples/fileread/mld_dexample_ml.f90 examples/fileread/mld_sexample_1lev.f90 examples/fileread/mld_sexample_ml.f90 examples/fileread/mld_zexample_1lev.f90 examples/fileread/mld_zexample_ml.f90 examples/pdegen/data_input.f90 examples/pdegen/mld_dexample_1lev.f90 examples/pdegen/mld_dexample_ml.f90 examples/pdegen/mld_sexample_1lev.f90 examples/pdegen/mld_sexample_ml.f90 mlprec/Makefile mlprec/mld_base_prec_type.f90 mlprec/mld_c_as_smoother.f90 mlprec/mld_c_diag_solver.f90 mlprec/mld_c_id_solver.f90 mlprec/mld_c_ilu_solver.f90 mlprec/mld_c_inner_mod.f90 mlprec/mld_c_jac_smoother.f90 mlprec/mld_c_move_alloc_mod.f90 mlprec/mld_c_prec_mod.f90 mlprec/mld_c_prec_type.f90 mlprec/mld_c_slu_solver.f90 mlprec/mld_caggrmap_bld.f90 mlprec/mld_caggrmat_asb.f90 mlprec/mld_caggrmat_nosmth_asb.F90 mlprec/mld_caggrmat_smth_asb.F90 mlprec/mld_ccoarse_bld.f90 mlprec/mld_cilu0_fact.f90 mlprec/mld_ciluk_fact.f90 mlprec/mld_cilut_fact.f90 mlprec/mld_cmlprec_aply.f90 mlprec/mld_cmlprec_bld.f90 mlprec/mld_cprecaply.f90 mlprec/mld_cprecbld.f90 mlprec/mld_cprecinit.F90 mlprec/mld_cprecset.F90 mlprec/mld_cslu_bld.f90 mlprec/mld_cslud_bld.f90 mlprec/mld_csp_renum.f90 mlprec/mld_cumf_bld.f90 mlprec/mld_d_as_smoother.f90 mlprec/mld_d_diag_solver.f90 mlprec/mld_d_id_solver.f90 mlprec/mld_d_ilu_solver.f90 mlprec/mld_d_inner_mod.f90 mlprec/mld_d_jac_smoother.f90 mlprec/mld_d_move_alloc_mod.f90 mlprec/mld_d_prec_mod.f90 mlprec/mld_d_prec_type.f90 mlprec/mld_d_slu_solver.f90 mlprec/mld_d_sludist_solver.f90 mlprec/mld_d_umf_solver.f90 mlprec/mld_daggrmap_bld.f90 mlprec/mld_daggrmat_asb.f90 mlprec/mld_daggrmat_minnrg_asb.F90 mlprec/mld_daggrmat_nosmth_asb.F90 mlprec/mld_daggrmat_smth_asb.F90 mlprec/mld_dcoarse_bld.f90 mlprec/mld_dilu0_fact.f90 mlprec/mld_diluk_fact.f90 mlprec/mld_dilut_fact.f90 mlprec/mld_dmlprec_aply.f90 mlprec/mld_dmlprec_bld.f90 mlprec/mld_dprecaply.f90 mlprec/mld_dprecbld.f90 mlprec/mld_dprecinit.F90 mlprec/mld_dprecset.F90 mlprec/mld_dslu_bld.f90 mlprec/mld_dslud_bld.f90 mlprec/mld_dsp_renum.f90 mlprec/mld_s_as_smoother.f90 mlprec/mld_s_diag_solver.f90 mlprec/mld_s_id_solver.f90 mlprec/mld_s_ilu_solver.f90 mlprec/mld_s_inner_mod.f90 mlprec/mld_s_jac_smoother.f90 mlprec/mld_s_move_alloc_mod.f90 mlprec/mld_s_prec_mod.f90 mlprec/mld_s_prec_type.f90 mlprec/mld_s_slu_solver.f90 mlprec/mld_saggrmap_bld.f90 mlprec/mld_saggrmat_asb.f90 mlprec/mld_saggrmat_nosmth_asb.F90 mlprec/mld_saggrmat_smth_asb.F90 mlprec/mld_scoarse_bld.f90 mlprec/mld_silu0_fact.f90 mlprec/mld_siluk_fact.f90 mlprec/mld_silut_fact.f90 mlprec/mld_smlprec_aply.f90 mlprec/mld_smlprec_bld.f90 mlprec/mld_sprecaply.f90 mlprec/mld_sprecbld.f90 mlprec/mld_sprecinit.F90 mlprec/mld_sprecset.F90 mlprec/mld_sslu_bld.f90 mlprec/mld_sslud_bld.f90 mlprec/mld_ssp_renum.f90 mlprec/mld_sumf_bld.f90 mlprec/mld_z_as_smoother.f90 mlprec/mld_z_diag_solver.f90 mlprec/mld_z_id_solver.f90 mlprec/mld_z_ilu_solver.f90 mlprec/mld_z_inner_mod.f90 mlprec/mld_z_jac_smoother.f90 mlprec/mld_z_move_alloc_mod.f90 mlprec/mld_z_prec_mod.f90 mlprec/mld_z_prec_type.f90 mlprec/mld_z_slu_solver.f90 mlprec/mld_z_umf_solver.f90 mlprec/mld_zaggrmap_bld.f90 mlprec/mld_zaggrmat_asb.f90 mlprec/mld_zaggrmat_nosmth_asb.F90 mlprec/mld_zaggrmat_smth_asb.F90 mlprec/mld_zas_aply.f90 mlprec/mld_zas_bld.f90 mlprec/mld_zbaseprec_aply.f90 mlprec/mld_zbaseprec_bld.f90 mlprec/mld_zcoarse_bld.f90 mlprec/mld_zdiag_bld.f90 mlprec/mld_zfact_bld.f90 mlprec/mld_zilu0_fact.f90 mlprec/mld_zilu_bld.f90 mlprec/mld_ziluk_fact.f90 mlprec/mld_zilut_fact.f90 mlprec/mld_zmlprec_aply.f90 mlprec/mld_zmlprec_bld.f90 mlprec/mld_zprecaply.f90 mlprec/mld_zprecbld.f90 mlprec/mld_zprecinit.F90 mlprec/mld_zprecset.F90 mlprec/mld_zslu_bld.f90 mlprec/mld_zslud_bld.f90 mlprec/mld_zsp_renum.f90 mlprec/mld_zumf_bld.f90 tests/fileread/cf_sample.f90 tests/fileread/data_input.f90 tests/fileread/df_sample.f90 tests/fileread/sf_sample.f90 tests/fileread/zf_sample.f90 tests/newslv/data_input.f90 tests/newslv/mld_d_tlu_solver.f90 tests/newslv/ppde.f90 tests/newslv/spde.f90 tests/pdegen/data_input.f90 tests/pdegen/ppde.f90 tests/pdegen/runs/ppde.inp tests/pdegen/spde.f90 Adapted psb_base_mod.
14 years ago
use psb_base_mod
use mld_prec_mod
use psb_krylov_mod
use psb_util_mod
use data_input
implicit none
! input parameters
character(len=20) :: kmethd, ptype
character(len=5) :: afmt
integer :: idim
! miscellaneous
real(psb_spk_), parameter :: one = 1.0
real(psb_dpk_) :: t1, t2, tprec
! sparse matrix and preconditioner
type(psb_sspmat_type) :: a
type(mld_sprec_type) :: prec
! descriptor
type(psb_desc_type) :: desc_a
! dense matrices
type(psb_s_vect_type) :: x,b
! blacs parameters
integer :: ictxt, iam, np
! solver parameters
integer :: iter, itmax,itrace, istopc, irst, nlv
integer(psb_long_int_k_) :: amatsize, precsize, descsize
real(psb_spk_) :: err, eps
type precdata
character(len=20) :: descr ! verbose description of the prec
character(len=10) :: prec ! overall prectype
integer :: novr ! number of overlap layers
integer :: jsweeps ! Jacobi/smoother sweeps
character(len=16) :: restr ! restriction over application of as
character(len=16) :: prol ! prolongation over application of as
character(len=16) :: solve ! Solver type: ILU, SuperLU, UMFPACK.
integer :: fill1 ! Fill-in for factorization 1
real(psb_spk_) :: thr1 ! Threshold for fact. 1 ILU(T)
character(len=16) :: smther ! Smoother
integer :: nlev ! Number of levels in multilevel prec.
character(len=16) :: aggrkind ! smoothed/raw aggregatin
character(len=16) :: aggr_alg ! local or global aggregation
character(len=16) :: mltype ! additive or multiplicative 2nd level prec
character(len=16) :: smthpos ! side: pre, post, both smoothing
character(len=16) :: cmat ! coarse mat
character(len=16) :: csolve ! Coarse solver: bjac, umf, slu, sludist
character(len=16) :: csbsolve ! Coarse subsolver: ILU, ILU(T), SuperLU, UMFPACK.
integer :: cfill ! Fill-in for factorization 1
real(psb_spk_) :: cthres ! Threshold for fact. 1 ILU(T)
integer :: cjswp ! Jacobi sweeps
real(psb_spk_) :: athres ! smoother aggregation threshold
end type precdata
type(precdata) :: prectype
type(psb_s_coo_sparse_mat) :: acoo
! other variables
integer :: info
character(len=20) :: name,ch_err
info=psb_success_
call psb_init(ictxt)
call psb_info(ictxt,iam,np)
if (iam < 0) then
! This should not happen, but just in case
call psb_exit(ictxt)
stop
endif
if(psb_get_errstatus() /= 0) goto 9999
name='pde2d90'
call psb_set_errverbosity(2)
!
! Hello world
!
if (iam == psb_root_) then
write(*,*) 'Welcome to MLD2P4 version: ',mld_version_string_
write(*,*) 'This is the ',trim(name),' sample program'
end if
!
! get parameters
!
call get_parms(ictxt,kmethd,prectype,afmt,idim,istopc,itmax,itrace,irst,eps)
!
! allocate and fill in the coefficient matrix, rhs and initial guess
!
call psb_barrier(ictxt)
t1 = psb_wtime()
call psb_gen_pde2d(ictxt,idim,a,b,x,desc_a,afmt,a1,a2,b1,b2,c,g,info)
call psb_barrier(ictxt)
t2 = psb_wtime() - t1
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_gen_pde2d'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (iam == psb_root_) &
& write(psb_out_unit,'("Overall matrix creation time : ",es12.5)')t2
if (iam == psb_root_) &
& write(psb_out_unit,'(" ")')
!
! prepare the preconditioner.
!
if (psb_toupper(prectype%prec) == 'ML') then
nlv = prectype%nlev
call mld_precinit(prec,prectype%prec, info, nlev=nlv)
call mld_precset(prec,mld_smoother_type_, prectype%smther, info)
call mld_precset(prec,mld_smoother_sweeps_, prectype%jsweeps, info)
call mld_precset(prec,mld_sub_ovr_, prectype%novr, info)
call mld_precset(prec,mld_sub_restr_, prectype%restr, info)
call mld_precset(prec,mld_sub_prol_, prectype%prol, info)
call mld_precset(prec,mld_sub_solve_, prectype%solve, info)
call mld_precset(prec,mld_sub_fillin_, prectype%fill1, info)
call mld_precset(prec,mld_sub_iluthrs_, prectype%thr1, info)
call mld_precset(prec,mld_aggr_kind_, prectype%aggrkind,info)
call mld_precset(prec,mld_aggr_alg_, prectype%aggr_alg,info)
call mld_precset(prec,mld_ml_type_, prectype%mltype, info)
call mld_precset(prec,mld_smoother_pos_, prectype%smthpos, info)
if (prectype%athres >= szero) &
& call mld_precset(prec,mld_aggr_thresh_, prectype%athres, info)
call mld_precset(prec,mld_coarse_solve_, prectype%csolve, info)
call mld_precset(prec,mld_coarse_subsolve_, prectype%csbsolve,info)
call mld_precset(prec,mld_coarse_mat_, prectype%cmat, info)
call mld_precset(prec,mld_coarse_fillin_, prectype%cfill, info)
call mld_precset(prec,mld_coarse_iluthrs_, prectype%cthres, info)
call mld_precset(prec,mld_coarse_sweeps_, prectype%cjswp, info)
else
nlv = 1
call mld_precinit(prec,prectype%prec, info, nlev=nlv)
call mld_precset(prec,mld_smoother_sweeps_, prectype%jsweeps, info)
call mld_precset(prec,mld_sub_ovr_, prectype%novr, info)
call mld_precset(prec,mld_sub_restr_, prectype%restr, info)
call mld_precset(prec,mld_sub_prol_, prectype%prol, info)
call mld_precset(prec,mld_sub_solve_, prectype%solve, info)
call mld_precset(prec,mld_sub_fillin_, prectype%fill1, info)
call mld_precset(prec,mld_sub_iluthrs_, prectype%thr1, info)
end if
call psb_barrier(ictxt)
t1 = psb_wtime()
call mld_precbld(a,desc_a,prec,info)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_precbld'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
tprec = psb_wtime()-t1
!!$ call prec%dump(info,prefix='test-ml',ac=.true.,solver=.true.,smoother=.true.)
call psb_amx(ictxt,tprec)
if (iam == psb_root_) &
& write(psb_out_unit,'("Preconditioner time : ",es12.5)')tprec
if (iam == psb_root_) call mld_precdescr(prec,info)
if (iam == psb_root_) &
& write(psb_out_unit,'(" ")')
!
! iterative method parameters
!
if(iam == psb_root_) &
& write(psb_out_unit,'("Calling iterative method ",a)')kmethd
call psb_barrier(ictxt)
t1 = psb_wtime()
call psb_krylov(kmethd,a,prec,b,x,eps,desc_a,info,&
& itmax=itmax,iter=iter,err=err,itrace=itrace,istop=istopc,irst=irst)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='solver routine'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
call psb_barrier(ictxt)
t2 = psb_wtime() - t1
call psb_amx(ictxt,t2)
amatsize = a%sizeof()
descsize = desc_a%sizeof()
precsize = prec%sizeof()
call psb_sum(ictxt,amatsize)
call psb_sum(ictxt,descsize)
call psb_sum(ictxt,precsize)
if (iam == psb_root_) then
write(psb_out_unit,'(" ")')
write(psb_out_unit,'("Time to solve matrix : ",es12.5)') t2
write(psb_out_unit,'("Time per iteration : ",es12.5)') t2/iter
write(psb_out_unit,'("Number of iterations : ",i0)') iter
write(psb_out_unit,'("Convergence indicator on exit : ",es12.5)') err
write(psb_out_unit,'("Info on exit : ",i0)') info
write(psb_out_unit,'("Total memory occupation for A: ",i12)') amatsize
write(psb_out_unit,'("Total memory occupation for DESC_A: ",i12)') descsize
write(psb_out_unit,'("Total memory occupation for PREC: ",i12)') precsize
end if
!
! cleanup storage and exit
!
call psb_gefree(b,desc_a,info)
call psb_gefree(x,desc_a,info)
call psb_spfree(a,desc_a,info)
call mld_precfree(prec,info)
call psb_cdfree(desc_a,info)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='free routine'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
9999 continue
if(info /= psb_success_) then
call psb_error(ictxt)
end if
call psb_exit(ictxt)
stop
contains
!
! get iteration parameters from standard input
!
subroutine get_parms(ictxt,kmethd,prectype,afmt,idim,istopc,itmax,itrace,irst,eps)
integer :: ictxt
type(precdata) :: prectype
character(len=*) :: kmethd, afmt
integer :: idim, istopc,itmax,itrace,irst
integer :: np, iam, info
real(psb_spk_) :: eps
character(len=20) :: buffer
call psb_info(ictxt, iam, np)
if (iam == psb_root_) then
call read_data(kmethd,5)
call read_data(afmt,5)
call read_data(idim,5)
call read_data(istopc,5)
call read_data(itmax,5)
call read_data(itrace,5)
call read_data(irst,5)
call read_data(eps,5)
call read_data(prectype%descr,5) ! verbose description of the prec
call read_data(prectype%prec,5) ! overall prectype
call read_data(prectype%novr,5) ! number of overlap layers
call read_data(prectype%restr,5) ! restriction over application of as
call read_data(prectype%prol,5) ! prolongation over application of as
call read_data(prectype%solve,5) ! Factorization type: ILU, SuperLU, UMFPACK.
call read_data(prectype%fill1,5) ! Fill-in for factorization 1
call read_data(prectype%thr1,5) ! Threshold for fact. 1 ILU(T)
call read_data(prectype%jsweeps,5) ! Jacobi sweeps for PJAC
if (psb_toupper(prectype%prec) == 'ML') then
call read_data(prectype%smther,5) ! Smoother type.
call read_data(prectype%nlev,5) ! Number of levels in multilevel prec.
call read_data(prectype%aggrkind,5) ! smoothed/raw aggregatin
call read_data(prectype%aggr_alg,5) ! local or global aggregation
call read_data(prectype%mltype,5) ! additive or multiplicative 2nd level prec
call read_data(prectype%smthpos,5) ! side: pre, post, both smoothing
call read_data(prectype%cmat,5) ! coarse mat
call read_data(prectype%csolve,5) ! Factorization type: ILU, SuperLU, UMFPACK.
call read_data(prectype%csbsolve,5) ! Factorization type: ILU, SuperLU, UMFPACK.
call read_data(prectype%cfill,5) ! Fill-in for factorization 1
call read_data(prectype%cthres,5) ! Threshold for fact. 1 ILU(T)
call read_data(prectype%cjswp,5) ! Jacobi sweeps
call read_data(prectype%athres,5) ! smoother aggr thresh
end if
end if
! broadcast parameters to all processors
call psb_bcast(ictxt,kmethd)
call psb_bcast(ictxt,afmt)
call psb_bcast(ictxt,idim)
call psb_bcast(ictxt,istopc)
call psb_bcast(ictxt,itmax)
call psb_bcast(ictxt,itrace)
call psb_bcast(ictxt,irst)
call psb_bcast(ictxt,eps)
call psb_bcast(ictxt,prectype%descr) ! verbose description of the prec
call psb_bcast(ictxt,prectype%prec) ! overall prectype
call psb_bcast(ictxt,prectype%novr) ! number of overlap layers
call psb_bcast(ictxt,prectype%restr) ! restriction over application of as
call psb_bcast(ictxt,prectype%prol) ! prolongation over application of as
call psb_bcast(ictxt,prectype%solve) ! Factorization type: ILU, SuperLU, UMFPACK.
call psb_bcast(ictxt,prectype%fill1) ! Fill-in for factorization 1
call psb_bcast(ictxt,prectype%thr1) ! Threshold for fact. 1 ILU(T)
call psb_bcast(ictxt,prectype%jsweeps) ! Jacobi sweeps
if (psb_toupper(prectype%prec) == 'ML') then
call psb_bcast(ictxt,prectype%smther) ! Smoother type.
call psb_bcast(ictxt,prectype%nlev) ! Number of levels in multilevel prec.
call psb_bcast(ictxt,prectype%aggrkind) ! smoothed/raw aggregatin
call psb_bcast(ictxt,prectype%aggr_alg) ! local or global aggregation
call psb_bcast(ictxt,prectype%mltype) ! additive or multiplicative 2nd level prec
call psb_bcast(ictxt,prectype%smthpos) ! side: pre, post, both smoothing
call psb_bcast(ictxt,prectype%cmat) ! coarse mat
call psb_bcast(ictxt,prectype%csolve) ! Factorization type: ILU, SuperLU, UMFPACK.
call psb_bcast(ictxt,prectype%csbsolve) ! Factorization type: ILU, SuperLU, UMFPACK.
call psb_bcast(ictxt,prectype%cfill) ! Fill-in for factorization 1
call psb_bcast(ictxt,prectype%cthres) ! Threshold for fact. 1 ILU(T)
call psb_bcast(ictxt,prectype%cjswp) ! Jacobi sweeps
call psb_bcast(ictxt,prectype%athres) ! smoother aggr thresh
end if
if (iam == psb_root_) then
write(psb_out_unit,'("Solving matrix : ell1")')
write(psb_out_unit,'("Grid dimensions : ",i4,"x",i4,"x",i4)')idim,idim,idim
write(psb_out_unit,'("Number of processors : ",i0)') np
write(psb_out_unit,'("Data distribution : BLOCK")')
write(psb_out_unit,'("Preconditioner : ",a)') prectype%descr
write(psb_out_unit,'("Iterative method : ",a)') kmethd
write(psb_out_unit,'(" ")')
endif
return
end subroutine get_parms
!
! print an error message
!
subroutine pr_usage(iout)
integer :: iout
write(iout,*)'incorrect parameter(s) found'
write(iout,*)' usage: pde90 methd prec dim &
&[istop itmax itrace]'
write(iout,*)' where:'
write(iout,*)' methd: cgstab cgs rgmres bicgstabl'
write(iout,*)' prec : bjac diag none'
write(iout,*)' dim number of points along each axis'
write(iout,*)' the size of the resulting linear '
write(iout,*)' system is dim**3'
write(iout,*)' istop stopping criterion 1, 2 '
write(iout,*)' itmax maximum number of iterations [500] '
write(iout,*)' itrace <=0 (no tracing, default) or '
write(iout,*)' >= 1 do tracing every itrace'
write(iout,*)' iterations '
end subroutine pr_usage
!
! functions parametrizing the differential equation
!
function b1(x,y)
use psb_base_mod, only : psb_spk_
real(psb_spk_) :: b1
real(psb_spk_), intent(in) :: x,y
b1=1.e0/sqrt(2.e0)
end function b1
function b2(x,y)
use psb_base_mod, only : psb_spk_
real(psb_spk_) :: b2
real(psb_spk_), intent(in) :: x,y
b2=1.e0/sqrt(2.e0)
end function b2
function c(x,y)
use psb_base_mod, only : psb_spk_
real(psb_spk_) :: c
real(psb_spk_), intent(in) :: x,y
c=0.e0
end function c
function a1(x,y)
use psb_base_mod, only : psb_spk_
real(psb_spk_) :: a1
real(psb_spk_), intent(in) :: x,y
a1=1.e0/80
end function a1
function a2(x,y)
use psb_base_mod, only : psb_spk_
real(psb_spk_) :: a2
real(psb_spk_), intent(in) :: x,y
a2=1.e0/80
end function a2
function g(x,y)
use psb_base_mod, only : psb_spk_, sone
real(psb_spk_) :: g
real(psb_spk_), intent(in) :: x,y
g = szero
if (x == sone) then
g = sone
else if (x == szero) then
g = exp(-y**2)
end if
end function g
end program spde2d