EulerSI.C

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#include "EulerSI.H"
#include "addToRunTimeSelectionTable.H"
 
// * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * //
 
namespace Foam
{
    defineTypeNameAndDebug(EulerSI, 0);
    addToRunTimeSelectionTable(ODESolver, EulerSI, dictionary);
}
 
 
// * * * * * * * * * * * * * * * * Constructors  * * * * * * * * * * * * * * //
 
Foam::EulerSI::EulerSI(const ODESystem& ode, const dictionary& dict)
:
    ODESolver(ode, dict),
    adaptiveSolver(ode, dict),
    err_(n_),
    dydx_(n_),
    dfdx_(n_),
    dfdy_(n_, n_),
    a_(n_, n_),
    pivotIndices_(n_)
{}
 
 
// * * * * * * * * * * * * * * * Member Functions  * * * * * * * * * * * * * //
 
bool Foam::EulerSI::resize()
{
    if (ODESolver::resize())
    {
        adaptiveSolver::resize(n_);
 
        resizeField(err_);
        resizeField(dydx_);
        resizeField(dfdx_);
        resizeMatrix(dfdy_);
        resizeMatrix(a_);
        resizeField(pivotIndices_);
 
        return true;
    }
    else
    {
        return false;
    }
}
 
 
Foam::scalar Foam::EulerSI::solve
(
    const scalar x0,
    const scalarField& y0,
    const label li,
    const scalarField& dydx0,
    const scalar dx,
    scalarField& y
) const
{
    odes_.jacobian(x0, y0, li, dfdx_, dfdy_);
 
    for (label i=0; i<n_; i++)
    {
        for (label j=0; j<n_; j++)
        {
            a_(i, j) = -dfdy_(i, j);
        }
 
        a_(i, i) += 1.0/dx;
    }
 
    LUDecompose(a_, pivotIndices_);
 
    // Calculate error estimate from the change in state:
    forAll(err_, i)
    {
        err_[i] = dydx0[i] + dx*dfdx_[i];
    }
 
    LUBacksubstitute(a_, pivotIndices_, err_);
 
    forAll(y, i)
    {
        y[i] = y0[i] + err_[i];
    }
 
    return normaliseError(y0, y, err_);
}
 
 
void Foam::EulerSI::solve
(
    scalar& x,
    scalarField& y,
    const label li,
    scalar& dxTry
) const
{
    adaptiveSolver::solve(odes_, x, y, li, dxTry);
}
 
 
// ************************************************************************* //