opm-simulators/tests/test_linearsolver.cpp
2014-07-08 10:58:39 +08:00

200 lines
6.1 KiB
C++

/*
Copyright 2014 Dr. Markus Blatt - HPC-Simulation-Software & Services
This file is part of the Open Porous Media project (OPM).
OPM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OPM is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with OPM. If not, see <http://www.gnu.org/licenses/>.
*/
#include <config.h>
#if HAVE_DYNAMIC_BOOST_TEST
#define BOOST_TEST_DYN_LINK
#endif
#define NVERBOSE // to suppress our messages when throwing
#define BOOST_TEST_MODULE OPM-IterativeSolverTest
#include <boost/test/unit_test.hpp>
#include <opm/core/linalg/LinearSolverFactory.hpp>
#include <opm/core/utility/parameters/ParameterGroup.hpp>
#include <dune/common/version.hh>
#include <memory>
#include <cstdlib>
#include <string>
struct MyMatrix
{
MyMatrix(int rows, int nnz)
: data(nnz, 0.0), rowStart(rows+1, -1),
colIndex(nnz, -1)
{}
MyMatrix()
: data(), rowStart(), colIndex()
{}
std::vector<double> data;
std::vector<int> rowStart;
std::vector<int> colIndex;
};
std::shared_ptr<MyMatrix> createLaplacian(int N)
{
MyMatrix* mm=new MyMatrix(N*N, N*N*5);
int nnz=0;
mm->rowStart[0]=0;
for(int row=0; row<N*N; row++)
{
int x=row%N;
int y=row/N;
if(y>0)
{
mm->colIndex[nnz]=row-N;
mm->data[nnz++]=-1;
}
if(x>0)
{
mm->colIndex[nnz]=row-1;
mm->data[nnz++]=-1;
}
mm->colIndex[nnz]=row;
mm->data[nnz++]=4;
if(x<N-1)
{
mm->colIndex[nnz]=row+1;
mm->data[nnz++]=-1;
}
if(y<N-1)
{
mm->colIndex[nnz]=row+N;
mm->data[nnz++]=-1;
}
mm->rowStart[row+1]=nnz;
}
mm->data.resize(nnz);
mm->colIndex.resize(nnz);
return std::shared_ptr<MyMatrix>(mm);
}
void createRandomVectors(int NN, std::vector<double>& x, std::vector<double>& b,
const MyMatrix& mat)
{
x.resize(NN);
for(auto entry=x.begin(), end =x.end(); entry!=end; ++entry)
*entry=((double) (rand()%100))/10.0;
b.resize(NN);
std::fill(b.begin(), b.end(), 0.0);
// Construct the right hand side as b=A*x
for(std::size_t row=0; row<mat.rowStart.size()-1; ++row)
{
for(int i=mat.rowStart[row], end=mat.rowStart[row+1]; i!=end; ++i)
{
b[row]+= mat.data[i]*x[mat.colIndex[i]];
}
}
}
void run_test(const Opm::parameter::ParameterGroup& param)
{
int N=4;
auto mat = createLaplacian(N);
std::vector<double> x(N*N), b(N*N);
createRandomVectors(100*100, x, b, *mat);
std::vector<double> exact(x);
std::fill(x.begin(), x.end(), 0.0);
Opm::LinearSolverFactory ls(param);
ls.solve(N*N, mat->data.size(), &(mat->rowStart[0]),
&(mat->colIndex[0]), &(mat->data[0]), &(b[0]),
&(x[0]));
}
BOOST_AUTO_TEST_CASE(DefaultTest)
{
Opm::parameter::ParameterGroup param;
param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
param.insertParameter(std::string("linsolver_verbosity"), std::string("2"));
run_test(param);
}
#ifdef HAVE_DUNE_ISTL
BOOST_AUTO_TEST_CASE(CGAMGTest)
{
Opm::parameter::ParameterGroup param;
param.insertParameter(std::string("linsolver"), std::string("istl"));
param.insertParameter(std::string("linsolver_type"), std::string("1"));
param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
param.insertParameter(std::string("linsolver_verbosity"), std::string("2"));
run_test(param);
}
BOOST_AUTO_TEST_CASE(CGILUTest)
{
Opm::parameter::ParameterGroup param;
param.insertParameter(std::string("linsolver"), std::string("istl"));
param.insertParameter(std::string("linsolver_type"), std::string("0"));
param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
param.insertParameter(std::string("linsolver_verbosity"), std::string("2"));
run_test(param);
}
BOOST_AUTO_TEST_CASE(BiCGILUTest)
{
Opm::parameter::ParameterGroup param;
param.insertParameter(std::string("linsolver"), std::string("istl"));
param.insertParameter(std::string("linsolver_type"), std::string("2"));
param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
param.insertParameter(std::string("linsolver_verbosity"), std::string("2"));
run_test(param);
}
#if defined(HAS_DUNE_FAST_AMG) || DUNE_VERSION_NEWER(DUNE_ISTL, 2, 3)
BOOST_AUTO_TEST_CASE(FastAMGTest)
{
Opm::parameter::ParameterGroup param;
param.insertParameter(std::string("linsolver"), std::string("istl"));
param.insertParameter(std::string("linsolver_type"), std::string("3"));
param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
param.insertParameter(std::string("linsolver_verbosity"), std::string("2"));
run_test(param);
}
BOOST_AUTO_TEST_CASE(KAMGTest)
{
Opm::parameter::ParameterGroup param;
param.insertParameter(std::string("linsolver"), std::string("istl"));
param.insertParameter(std::string("linsolver_type"), std::string("4"));
param.insertParameter(std::string("linsolver_max_iterations"), std::string("200"));
run_test(param);
}
#endif
#endif
#if HAVE_PETSC
BOOST_AUTO_TEST_CASE(PETScTest)
{
Opm::parameter::ParameterGroup param;
param.insertParameter(std::string("linsolver"), std::string("petsc"));
param.insertParameter(std::string("ksp_type"), std::string("cg"));
param.insertParameter(std::string("pc_type"), std::string("jacobi"));
param.insertParameter(std::string("ksp_rtol"), std::string("1e-10"));
param.insertParameter(std::string("ksp_view"), std::string("0"));
run_test(param);
}
#endif