public void solveModel()
{
int n = 5;
IElementalAccessMatrix A = new SparseRowMatrix(n, n, 5);
IElementalAccessVector b = new DenseVector(n), x = new DenseVector(n);
x.SetValue(0, 0.1);
x.SetValue(1, 0.2);
x.SetValue(2, 0.3);
x.SetValue(3, 0.4);
x.SetValue(4, 0.5);
b = new DenseVector(x.Length);
for (int it = 0; it < 100; it++)
{
model(b, x);
grad(A, x);
IElementalAccessVector dx = new DenseVector(n);
ILinearSolver solver = new BiCGSolver();
IPreconditioner M = new IdentityPreconditioner();
DefaultLinearIteration iter = new DefaultLinearIteration();
iter.SetParameters(1e-10, 1e-50, 1e+5, 1000000);
double[] ans = solve(A, b, dx, solver, M, iter);
for (int i = 0; i < x.Length; i++)
{
x.AddValue(i, -0.2 * dx.GetValue(i));
}
int iii = 1;
}
}
private void Helper1(IElementalAccessMatrix A, IElementalAccessVector b, IElementalAccessVector x)
{
// Test of usual solvers and preconditoners
ILinearSolver[] solver = new ILinearSolver[]
{
new BiCGSolver(),
new BiCGstabSolver(),
//new CGSolver(),
new CGSSolver(),
new GMRESSolver(),
new QMRSolver()
};
IPreconditioner[] M = new IPreconditioner[]
{
new IdentityPreconditioner(),
//new ILUPreconditioner(new SparseRowMatrix(A.RowCount, A.ColumnCount))
};
DefaultLinearIteration iter = new DefaultLinearIteration();
iter.SetParameters(1e-10, 1e-50, 1e+5, 1000000);
for (int i = 0; i < solver.Length; ++i)
{
for (int j = 0; j < M.Length; ++j)
{
Helper2(A, b, x, solver[i], M[j], iter);
}
}
}
