SparseGenMatProd.h

// Copyright (C) 2016-2025 Yixuan Qiu <yixuan.qiu@cos.name>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at https://mozilla.org/MPL/2.0/.
 
#ifndef SPECTRA_SPARSE_GEN_MAT_PROD_H
#define SPECTRA_SPARSE_GEN_MAT_PROD_H
 
#include <Eigen/Core>
#include <Eigen/SparseCore>
 
namespace Spectra {
template <typename Scalar_, int Flags = Eigen::ColMajor, typename StorageIndex = int>
class SparseGenMatProd
{
public:
    using Scalar = Scalar_;
 
private:
    using Index = Eigen::Index;
    using Vector = Eigen::Matrix<Scalar, Eigen::Dynamic, 1>;
    using MapConstVec = Eigen::Map<const Vector>;
    using MapVec = Eigen::Map<Vector>;
    using Matrix = Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>;
    using SparseMatrix = Eigen::SparseMatrix<Scalar, Flags, StorageIndex>;
    using ConstGenericSparseMatrix = const Eigen::Ref<const SparseMatrix>;
 
    ConstGenericSparseMatrix m_mat;
 
public:
    template <typename Derived>
    SparseGenMatProd(const Eigen::SparseMatrixBase<Derived>& mat) :
        m_mat(mat)
    {
        static_assert(
            static_cast<int>(Derived::PlainObject::IsRowMajor) == static_cast<int>(SparseMatrix::IsRowMajor),
            "SparseGenMatProd: the \"Flags\" template parameter does not match the input matrix (Eigen::ColMajor/Eigen::RowMajor)");
    }

    Index rows() const { return m_mat.rows(); }
    Index cols() const { return m_mat.cols(); }

    // y_out = A * x_in
    void perform_op(const Scalar* x_in, Scalar* y_out) const
    {
        MapConstVec x(x_in, m_mat.cols());
        MapVec y(y_out, m_mat.rows());
        y.noalias() = m_mat * x;
    }

    Matrix operator*(const Eigen::Ref<const Matrix>& mat_in) const
    {
        return m_mat * mat_in;
    }

    Scalar operator()(Index i, Index j) const
    {
        return m_mat.coeff(i, j);
    }
};
 
}  // namespace Spectra
 
#endif  // SPECTRA_SPARSE_GEN_MAT_PROD_H