opm-core/tests/test_agmg.cpp

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#include <cmath>
#include <cstddef>
#include <iomanip>
#include <iostream>
#include <vector>
#include <boost/shared_ptr.hpp>
#include <opm/core/linalg/sparse_sys.h>
#include <opm/core/linalg/LinearSolverAGMG.hpp>
namespace {
boost::shared_ptr<CSRMatrix>
build_laplace_1d(const std::size_t m)
{
const std::size_t nnz = 3*(m - 2) + 2*2;
boost::shared_ptr<CSRMatrix>
A(csrmatrix_new_known_nnz(m, nnz), csrmatrix_delete);
A->ia[ 0 ] = 0;
// First row
A->ia[ 0 + 1 ] = A->ia[ 0 ];
A->ja[ A->ia[0 + 1] ] = 0 + 0;
A->sa[ A->ia[0 + 1] ++ ] = 2.0;
A->ja[ A->ia[0 + 1] ] = 0 + 1;
A->sa[ A->ia[0 + 1] ++ ] = - 1.0;
// General rows
for (std::size_t i = 1; i < m - 1; ++i) {
A->ia[i + 1] = A->ia[i];
A->ja[ A->ia[i + 1] ] = int(i) - 1;
A->sa[ A->ia[i + 1] ++ ] = - 1.0;
A->ja[ A->ia[i + 1] ] = int(i) ;
A->sa[ A->ia[i + 1] ++ ] = 2.0;
A->ja[ A->ia[i + 1] ] = int(i) + 1;
A->sa[ A->ia[i + 1] ++ ] = - 1.0;
}
// Last row
A->ia[ (m - 1) + 1 ] = A->ia[ m - 1 ];
A->ja[ A->ia[ (m - 1) + 1 ] ] = int(m - 1) - 1;
A->sa[ A->ia[ (m - 1) + 1 ] ++ ] = - 1.0;
A->ja[ A->ia[ (m - 1) + 1 ] ] = int(m - 1) ;
A->sa[ A->ia[ (m - 1) + 1 ] ++ ] = 2.0;
return A;
}
}
int main()
{
const std::size_t m = 10;
boost::shared_ptr<CSRMatrix> A = build_laplace_1d(m);
// Form right-hand side [1, 0, 0, ...., 0, 1]
std::vector<double> b(m, 0.0);
b[0] = 1.0; b.back() = 1.0;
// Allocate solution vector
std::vector<double> x(m);
// Create solver for SPD system.
Opm::LinearSolverAGMG linsolve(100, 1e-9, true);
Opm::LinearSolverInterface::LinearSolverReport
rpt = linsolve.solve(A.get(), & b[0], & x[0]);
double e = 0.0;
for (std::size_t i = 0; i < m; ++i) {
const double d = x[i] - 1.0;
e += d * d;
}
std::cerr << "|| e ||_2 = "
<< std::scientific
<< std::setprecision(5)
<< std::sqrt(e) / double(m) << '\n';
return 0;
}