UnifiedMatrixSetters.cpp

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#include "UnifiedMatrixSetters.h"
 
#include <cassert>
 
#ifdef USE_PETSC
 
// Global PETScMatrix/PETScVector //////////////////////////////////////////
 
#include <numeric>
 
#include "MathLib/LinAlg/PETSc/PETScMatrix.h"
#include "MathLib/LinAlg/PETSc/PETScVector.h"
 
namespace MathLib
{
void setVector(PETScVector& v, std::initializer_list<double> values)
{
    std::vector<double> const vals(values);
    std::vector<PETScVector::IndexType> idcs(vals.size());
    std::iota(idcs.begin(), idcs.end(), 0);
 
    v.set(idcs, vals);
}
 
void setVector(PETScVector& v,
               MatrixVectorTraits<PETScVector>::Index const index,
               double const value)
{
    v.set(index, value);  // TODO handle negative indices
}
 
void setMatrix(PETScMatrix& m, std::initializer_list<double> values)
{
    m.setZero();
    addToMatrix(m, values);
}
 
void setMatrix(PETScMatrix& m, Eigen::MatrixXd const& tmp)
{
    using IndexType = PETScMatrix::IndexType;
 
    auto const rows = tmp.rows();
    auto const cols = tmp.cols();
 
    assert(rows == m.getNumberOfRows() && cols == m.getNumberOfColumns());
 
    m.setZero();
    std::vector<IndexType> row_idcs(rows);
    std::vector<IndexType> col_idcs(cols);
 
    std::iota(row_idcs.begin(), row_idcs.end(), 0);
    std::iota(col_idcs.begin(), col_idcs.end(), 0);
 
    // PETSc wants row-major
    Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>
        tmp_ = tmp;
 
    m.add(row_idcs, col_idcs, tmp_);
}
 
void addToMatrix(PETScMatrix& m, std::initializer_list<double> values)
{
    using IndexType = PETScMatrix::IndexType;
 
    auto const rows = m.getNumberOfRows();
    auto const cols = m.getNumberOfColumns();
 
    assert((IndexType)values.size() == rows * cols);
 
    Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> tmp(
        rows, cols);
 
    auto it = values.begin();
    for (IndexType r = 0; r < rows; ++r)
    {
        for (IndexType c = 0; c < cols; ++c)
        {
            tmp(r, c) = *(it++);
        }
    }
 
    std::vector<IndexType> row_idcs(rows);
    std::vector<IndexType> col_idcs(cols);
 
    std::iota(row_idcs.begin(), row_idcs.end(), 0);
    std::iota(col_idcs.begin(), col_idcs.end(), 0);
 
    m.add(row_idcs, col_idcs, tmp);
}
 
}  // namespace MathLib
 
#else
 
// Sparse global EigenMatrix/EigenVector
// //////////////////////////////////////////
 
#include "MathLib/LinAlg/Eigen/EigenMatrix.h"
#include "MathLib/LinAlg/Eigen/EigenVector.h"
 
namespace MathLib
{
void setVector(EigenVector& v_, std::initializer_list<double> values)
{
    auto& v(v_.getRawVector());
    assert((std::size_t)v.size() == values.size());
    auto it = values.begin();
    for (std::size_t i = 0; i < values.size(); ++i)
    {
        v[i] = *(it++);
    }
}
 
void setVector(EigenVector& v,
               MatrixVectorTraits<EigenVector>::Index const index,
               double const value)
{
    v.getRawVector()[index] = value;
}
 
void setMatrix(EigenMatrix& m, std::initializer_list<double> values)
{
    auto const rows = m.getNumberOfRows();
    auto const cols = m.getNumberOfColumns();
 
    assert(static_cast<EigenMatrix::IndexType>(values.size()) == rows * cols);
    Eigen::MatrixXd tmp(rows, cols);
 
    auto it = values.begin();
    for (GlobalIndexType r = 0; r < rows; ++r)
    {
        for (GlobalIndexType c = 0; c < cols; ++c)
        {
            tmp(r, c) = *(it++);
        }
    }
 
    m.getRawMatrix() = tmp.sparseView();
}
 
void setMatrix(EigenMatrix& m, Eigen::MatrixXd const& tmp)
{
    m.getRawMatrix() = tmp.sparseView();
}
 
void addToMatrix(EigenMatrix& m, std::initializer_list<double> values)
{
    auto const rows = m.getNumberOfRows();
    auto const cols = m.getNumberOfColumns();
 
    assert(static_cast<EigenMatrix::IndexType>(values.size()) == rows * cols);
    Eigen::Matrix<double, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> tmp(
        rows, cols);
 
    auto it = values.begin();
    for (GlobalIndexType r = 0; r < rows; ++r)
    {
        for (GlobalIndexType c = 0; c < cols; ++c)
        {
            tmp(r, c) = *(it++);
        }
    }
 
    m.getRawMatrix() += tmp.sparseView();
}
 
}  // namespace MathLib
 
#endif