scalarMatricesTemplates.C

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/*---------------------------------------------------------------------------*\
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     \\/     M anipulation  |
-------------------------------------------------------------------------------
    Copyright (C) 2011-2016 OpenFOAM Foundation
-------------------------------------------------------------------------------
License
    This file is part of OpenFOAM.
 
    OpenFOAM 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.
 
    OpenFOAM 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 OpenFOAM.  If not, see <http://www.gnu.org/licenses/>.
 
\*---------------------------------------------------------------------------*/
 
#include "scalarMatrices.H"
#include "ListOps.H"
 
// * * * * * * * * * * * * * * * Member Functions  * * * * * * * * * * * * * //
 
template<class Type>
void Foam::solve
(
    scalarSquareMatrix& tmpMatrix,
    List<Type>& sourceSol
)
{
    label m = tmpMatrix.m();
 
    // Elimination
    for (label i = 0; i < m; ++i)
    {
        label iMax = i;
        scalar largestCoeff = mag(tmpMatrix(iMax, i));
 
        // Swap elements around to find a good pivot
        for (label j = i + 1; j < m; ++j)
        {
            if (mag(tmpMatrix(j, i)) > largestCoeff)
            {
                iMax = j;
                largestCoeff = mag(tmpMatrix(iMax, i));
            }
        }
 
        if (i != iMax)
        {
            for (label k = i; k < m; ++k)
            {
                Swap(tmpMatrix(i, k), tmpMatrix(iMax, k));
            }
            Swap(sourceSol[i], sourceSol[iMax]);
        }
 
        // Check that the system of equations isn't singular
        if (mag(tmpMatrix(i, i)) < 1e-20)
        {
            FatalErrorInFunction
                << "Singular Matrix"
                << exit(FatalError);
        }
 
        // Reduce to upper triangular form
        for (label j = i + 1; j < m; ++j)
        {
            sourceSol[j] -= sourceSol[i]*(tmpMatrix(j, i)/tmpMatrix(i, i));
 
            for (label k = m - 1; k >= i; --k)
            {
                tmpMatrix(j, k) -=
                    tmpMatrix(i, k)*tmpMatrix(j, i)/tmpMatrix(i, i);
            }
        }
    }
 
    // Back-substitution
    for (label j = m - 1; j >= 0; --j)
    {
        Type ntempvec = Zero;
 
        for (label k = j + 1; k < m; ++k)
        {
            ntempvec += tmpMatrix(j, k)*sourceSol[k];
        }
 
        sourceSol[j] = (sourceSol[j] - ntempvec)/tmpMatrix(j, j);
    }
}
 
 
template<class Type>
void Foam::solve
(
    List<Type>& psi,
    const scalarSquareMatrix& matrix,
    const List<Type>& source
)
{
    scalarSquareMatrix tmpMatrix = matrix;
    psi = source;
    solve(tmpMatrix, psi);
}
 
 
template<class Type>
void Foam::LUBacksubstitute
(
    const scalarSquareMatrix& luMatrix,
    const labelList& pivotIndices,
    List<Type>& sourceSol
)
{
    label m = luMatrix.m();
 
    label ii = 0;
 
    for (label i = 0; i < m; ++i)
    {
        label ip = pivotIndices[i];
        Type sum = sourceSol[ip];
        sourceSol[ip] = sourceSol[i];
        const scalar* __restrict__ luMatrixi = luMatrix[i];
 
        if (ii != 0)
        {
            for (label j = ii - 1; j < i; ++j)
            {
                sum -= luMatrixi[j]*sourceSol[j];
            }
        }
        else if (sum != Type(Zero))
        {
            ii = i + 1;
        }
 
        sourceSol[i] = sum;
    }
 
    for (label i = m - 1; i >= 0; --i)
    {
        Type sum = sourceSol[i];
        const scalar* __restrict__ luMatrixi = luMatrix[i];
 
        for (label j = i + 1; j < m; ++j)
        {
            sum -= luMatrixi[j]*sourceSol[j];
        }
 
        sourceSol[i] = sum/luMatrixi[i];
    }
}
 
 
template<class Type>
void Foam::LUBacksubstitute
(
    const scalarSymmetricSquareMatrix& luMatrix,
    List<Type>& sourceSol
)
{
    label m = luMatrix.m();
 
    label ii = 0;
 
    for (label i = 0; i < m; ++i)
    {
        Type sum = sourceSol[i];
        const scalar* __restrict__ luMatrixi = luMatrix[i];
 
        if (ii != 0)
        {
            for (label j = ii - 1; j < i; ++j)
            {
                sum -= luMatrixi[j]*sourceSol[j];
            }
        }
        else if (sum != Type(Zero))
        {
            ii = i + 1;
        }
 
        sourceSol[i] = sum/luMatrixi[i];
    }
 
    for (label i = m - 1; i >= 0; --i)
    {
        Type sum = sourceSol[i];
        const scalar* __restrict__ luMatrixi = luMatrix[i];
 
        for (label j = i + 1; j < m; ++j)
        {
            sum -= luMatrixi[j]*sourceSol[j];
        }
 
        sourceSol[i] = sum/luMatrixi[i];
    }
}
 
 
template<class Type>
void Foam::LUsolve
(
    scalarSquareMatrix& matrix,
    List<Type>& sourceSol
)
{
    labelList pivotIndices(matrix.m());
    LUDecompose(matrix, pivotIndices);
    LUBacksubstitute(matrix, pivotIndices, sourceSol);
}
 
 
template<class Type>
void Foam::LUsolve
(
    scalarSymmetricSquareMatrix& matrix,
    List<Type>& sourceSol
)
{
    LUDecompose(matrix);
    LUBacksubstitute(matrix, sourceSol);
}
 
 
template<class Form, class Type>
void Foam::multiply
(
    Matrix<Form, Type>& ans,         // value changed in return
    const Matrix<Form, Type>& A,
    const Matrix<Form, Type>& B
)
{
    if (A.n() != B.m())
    {
        FatalErrorInFunction
            << "A and B must have identical inner dimensions but A.n = "
            << A.n() << " and B.m = " << B.m()
            << abort(FatalError);
    }
 
    ans = Matrix<Form, Type>(A.m(), B.n(), Zero);
 
    for (label i = 0; i < A.m(); ++i)
    {
        for (label j = 0; j < B.n(); ++j)
        {
            for (label l = 0; l < B.m(); ++l)
            {
                ans(i, j) += A(i, l)*B(l, j);
            }
        }
    }
}
 
 
// ************************************************************************* //