matrixconverter.hh

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#ifndef DUMUX_MATRIX_CONVERTER
#define DUMUX_MATRIX_CONVERTER
 
#include <cmath>
#include <utility>
#include <dune/common/indices.hh>
#include <dune/common/hybridutilities.hh>
#include <dune/istl/bvector.hh>
#include <dune/istl/bcrsmatrix.hh>
#include <dune/istl/matrixindexset.hh>
 
#include <dumux/common/parameters.hh>
 
namespace Dumux {
 
template <class MultiTypeBlockMatrix, class Scalar=double>
class MatrixConverter
{
    using MatrixBlock = typename Dune::FieldMatrix<Scalar, 1, 1>;
    using BCRSMatrix = typename Dune::BCRSMatrix<MatrixBlock>;
 
public:
 
    static auto multiTypeToBCRSMatrix(const MultiTypeBlockMatrix &A)
    {
        // get the size for the converted matrix
        const auto numRows = getNumRows_(A);
 
        // create an empty BCRS matrix with 1x1 blocks
        auto M = BCRSMatrix(numRows, numRows, BCRSMatrix::random);
 
        // set the occupation pattern and copy the values
        setOccupationPattern_(M, A);
        copyValues_(M, A);
 
        return M;
    }
 
private:
 
    static void setOccupationPattern_(BCRSMatrix& M, const MultiTypeBlockMatrix& A)
    {
        // prepare the occupation pattern
        const auto numRows = M.N();
        Dune::MatrixIndexSet occupationPattern;
        occupationPattern.resize(numRows, numRows);
 
        // lambda function to fill the occupation pattern
        auto addIndices = [&](const auto& subMatrix, const std::size_t startRow, const std::size_t startCol)
        {
            using std::abs;
            static const Scalar eps = getParam<Scalar>("MatrixConverter.DeletePatternEntriesBelowAbsThreshold", -1.0);
 
            using BlockType = typename std::decay_t<decltype(subMatrix)>::block_type;
            const auto blockSizeI = BlockType::rows;
            const auto blockSizeJ = BlockType::cols;
            for(auto row = subMatrix.begin(); row != subMatrix.end(); ++row)
                for(auto col = row->begin(); col != row->end(); ++col)
                    for(std::size_t i = 0; i < blockSizeI; ++i)
                        for(std::size_t j = 0; j < blockSizeJ; ++j)
                            if(abs(subMatrix[row.index()][col.index()][i][j]) > eps)
                                occupationPattern.add(startRow + row.index()*blockSizeI + i, startCol + col.index()*blockSizeJ + j);
        };
 
        // fill the pattern
        using namespace Dune::Hybrid;
        std::size_t rowIndex = 0;
        forEach(std::make_index_sequence<MultiTypeBlockMatrix::N()>(), [&A, &addIndices, &rowIndex, numRows](const auto i)
        {
            std::size_t colIndex = 0;
            forEach(A[i], [&](const auto& subMatrix)
            {
                addIndices(subMatrix, rowIndex, colIndex);
 
                using SubBlockType = typename std::decay_t<decltype(subMatrix)>::block_type;
 
                colIndex += SubBlockType::cols * subMatrix.M();
 
                // if we have arrived at the right side of the matrix, increase the row index
                if(colIndex == numRows)
                    rowIndex += SubBlockType::rows * subMatrix.N();
            });
        });
 
        occupationPattern.exportIdx(M);
    }
 
    static void copyValues_(BCRSMatrix& M, const MultiTypeBlockMatrix& A)
    {
        // get number of rows
        const auto numRows = M.N();
 
        // lambda function to copy the values
        auto copyValues = [&](const auto& subMatrix, const std::size_t startRow, const std::size_t startCol)
        {
            using std::abs;
            static const Scalar eps = getParam<Scalar>("MatrixConverter.DeletePatternEntriesBelowAbsThreshold", -1.0);
 
            using BlockType = typename std::decay_t<decltype(subMatrix)>::block_type;
            const auto blockSizeI = BlockType::rows;
            const auto blockSizeJ = BlockType::cols;
            for (auto row = subMatrix.begin(); row != subMatrix.end(); ++row)
                for (auto col = row->begin(); col != row->end(); ++col)
                    for (std::size_t i = 0; i < blockSizeI; ++i)
                        for (std::size_t j = 0; j < blockSizeJ; ++j)
                            if(abs(subMatrix[row.index()][col.index()][i][j]) > eps)
                                M[startRow + row.index()*blockSizeI + i][startCol + col.index()*blockSizeJ + j] = subMatrix[row.index()][col.index()][i][j];
 
        };
 
        using namespace Dune::Hybrid;
        std::size_t rowIndex = 0;
        forEach(std::make_index_sequence<MultiTypeBlockMatrix::N()>(), [&A, &copyValues, &rowIndex, numRows](const auto i)
        {
            std::size_t colIndex = 0;
            forEach(A[i], [&](const auto& subMatrix)
            {
                copyValues(subMatrix, rowIndex, colIndex);
 
                using SubBlockType = typename std::decay_t<decltype(subMatrix)>::block_type;
 
                colIndex += SubBlockType::cols * subMatrix.M();
 
                // if we have arrived at the right side of the matrix, increase the row index
                if(colIndex == numRows)
                    rowIndex += SubBlockType::rows * subMatrix.N();
            });
        });
    }
 
    static std::size_t getNumRows_(const MultiTypeBlockMatrix& A)
    {
        // iterate over the first row of the multitype blockmatrix
        std::size_t numRows = 0;
        Dune::Hybrid::forEach(Dune::Hybrid::elementAt(A, Dune::Indices::_0), [&numRows](const auto& subMatrixInFirstRow)
        {
            // the number of cols of the individual submatrice's block equals the respective number of equations.
            const auto numEq = std::decay_t<decltype(subMatrixInFirstRow)>::block_type::cols;
            numRows += numEq * subMatrixInFirstRow.M();
        });
 
        return numRows;
    }
 
};
 
template<class MultiTypeBlockVector, class Scalar=double>
class VectorConverter
{
    using VectorBlock = typename Dune::FieldVector<Scalar, 1>;
    using BlockVector = typename Dune::BlockVector<VectorBlock>;
 
public:
 
    static auto multiTypeToBlockVector(const MultiTypeBlockVector& b)
    {
        const auto size = getSize_(b);
 
        BlockVector bTmp;
        bTmp.resize(size);
 
        std::size_t startIndex = 0;
        Dune::Hybrid::forEach(b, [&](const auto& subVector)
        {
            const auto numEq = std::decay_t<decltype(subVector)>::block_type::size();
 
            for(std::size_t i = 0; i < subVector.size(); ++i)
                for(std::size_t j = 0; j < numEq; ++j)
                    bTmp[startIndex + i*numEq + j] = subVector[i][j];
 
            startIndex += numEq*subVector.size();
        });
 
        return bTmp;
    }
 
    static void retrieveValues(MultiTypeBlockVector& x, const BlockVector& y)
    {
        std::size_t startIndex = 0;
        Dune::Hybrid::forEach(x, [&](auto& subVector)
        {
            const auto numEq = std::decay_t<decltype(subVector)>::block_type::size();
 
            for(std::size_t i = 0; i < subVector.size(); ++i)
                for(std::size_t j = 0; j < numEq; ++j)
                    subVector[i][j] = y[startIndex + i*numEq + j];
 
            startIndex += numEq*subVector.size();
        });
    }
 
private:
 
    static std::size_t getSize_(const MultiTypeBlockVector& b)
    {
        std::size_t size = 0;
        Dune::Hybrid::forEach(b, [&size](const auto& subVector)
        {
            // the size of the individual vector blocks equals the respective number of equations.
            const auto numEq = std::decay_t<decltype(subVector)>::block_type::size();
            size += numEq * subVector.size();
        });
 
        return size;
    }
};
 
} // end namespace Dumux
 
#endif