https://gitlab.opengeosys.org/ogs/ogs.git
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Tip revision: 91eb420d17b6fe0069c6b130fb567ac8a1c89c7d authored by Wenqing Wang on 03 March 2021, 16:21:23 UTC
[TRM] Updated the solid thermal expansivity calculation
Tip revision: 91eb420
MatrixVectorTraits.cpp
/**
 * \file
 * \copyright
 * Copyright (c) 2012-2021, OpenGeoSys Community (http://www.opengeosys.org)
 *            Distributed under a Modified BSD License.
 *              See accompanying file LICENSE.txt or
 *              http://www.opengeosys.org/project/license
 *
 */

#include "MatrixVectorTraits.h"
#include "MatrixSpecifications.h"

#ifdef USE_PETSC

namespace MathLib
{

std::unique_ptr<PETScMatrix>
MatrixVectorTraits<PETScMatrix>::
newInstance()
{
    return std::make_unique<PETScMatrix>();
}

std::unique_ptr<PETScMatrix>
MatrixVectorTraits<PETScMatrix>::
newInstance(PETScMatrix const& A)
{
    return std::make_unique<PETScMatrix>(A);
}

std::unique_ptr<PETScMatrix>
MatrixVectorTraits<PETScMatrix>::
newInstance(MatrixSpecifications const& spec)
{
    auto const nrows = spec.nrows;
    auto const ncols = spec.ncols;

    if (spec.sparsity_pattern)
    {
        // Assert that the misuse of the sparsity pattern is consistent.
        assert(spec.sparsity_pattern->size() == 1);

        auto const max_nonzeroes = spec.sparsity_pattern->front();

        PETScMatrixOption mat_opt;
        mat_opt.d_nz = max_nonzeroes;
        mat_opt.o_nz = max_nonzeroes;
        mat_opt.is_global_size = false;
        return std::make_unique<PETScMatrix>(nrows, ncols, mat_opt);
    }
    else
        return std::make_unique<PETScMatrix>(nrows, ncols);
}

std::unique_ptr<PETScVector>
MatrixVectorTraits<PETScVector>::
newInstance()
{
    return std::make_unique<PETScVector>();
}

std::unique_ptr<PETScVector>
MatrixVectorTraits<PETScVector>::
newInstance(PETScVector const& x)
{
    return std::make_unique<PETScVector>(x);
}

std::unique_ptr<PETScVector>
MatrixVectorTraits<PETScVector>::
newInstance(MatrixSpecifications const& spec)
{
    auto const is_global_size = false;

    if (spec.ghost_indices != nullptr) {
        return std::make_unique<PETScVector>(spec.nrows, *spec.ghost_indices,
                                             is_global_size);
    } else {
        return std::make_unique<PETScVector>(spec.nrows, is_global_size);
    }
}

std::unique_ptr<PETScVector> MatrixVectorTraits<PETScVector>::newInstance(
    PETScVector::IndexType const length)
{
    auto const is_global_size = true;

    return std::make_unique<PETScVector>(length, is_global_size);
}
} // namespace MathLib


#else

namespace MathLib
{

std::unique_ptr<EigenMatrix>
MatrixVectorTraits<EigenMatrix>::
newInstance()
{
    return std::make_unique<EigenMatrix>(0, 0);  // TODO default constructor
}

std::unique_ptr<EigenMatrix>
MatrixVectorTraits<EigenMatrix>::
newInstance(EigenMatrix const& A)
{
    return std::make_unique<EigenMatrix>(A);
}

std::unique_ptr<EigenMatrix>
MatrixVectorTraits<EigenMatrix>::
newInstance(MatrixSpecifications const& spec)
{
    auto A = std::make_unique<EigenMatrix>(spec.nrows);

    if (spec.sparsity_pattern)
    {
        setMatrixSparsity(*A, *spec.sparsity_pattern);
    }

    return A;
}

std::unique_ptr<EigenVector>
MatrixVectorTraits<EigenVector>::
newInstance()
{
    return std::make_unique<EigenVector>();
}

std::unique_ptr<EigenVector>
MatrixVectorTraits<EigenVector>::
newInstance(EigenVector const& x)
{
    return std::make_unique<EigenVector>(x);
}

std::unique_ptr<EigenVector>
MatrixVectorTraits<EigenVector>::
newInstance(MatrixSpecifications const& spec)
{
    return std::make_unique<EigenVector>(spec.nrows);
}

std::unique_ptr<EigenVector> MatrixVectorTraits<EigenVector>::newInstance(
    Eigen::SparseMatrix<double>::Index const length)
{
    return std::make_unique<EigenVector>(length);
}
} // namespace MathLib

#endif
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