SparseGenMatProd.h
Go to the documentation of this file.
1 // Copyright (C) 2016-2025 Yixuan Qiu <yixuan.qiu@cos.name>
2 //
3 // This Source Code Form is subject to the terms of the Mozilla
4 // Public License v. 2.0. If a copy of the MPL was not distributed
5 // with this file, You can obtain one at https://mozilla.org/MPL/2.0/.
6 
7 #ifndef SPECTRA_SPARSE_GEN_MAT_PROD_H
8 #define SPECTRA_SPARSE_GEN_MAT_PROD_H
9 
10 #include <Eigen/Core>
11 #include <Eigen/SparseCore>
12 
13 namespace Spectra {
28 template <typename Scalar_, int Flags = Eigen::ColMajor, typename StorageIndex = int>
30 {
31 public:
35  using Scalar = Scalar_;
36 
37 private:
45 
47 
48 public:
56  template <typename Derived>
58  m_mat(mat)
59  {
60  static_assert(
61  static_cast<int>(Derived::PlainObject::IsRowMajor) == static_cast<int>(SparseMatrix::IsRowMajor),
62  "SparseGenMatProd: the \"Flags\" template parameter does not match the input matrix (Eigen::ColMajor/Eigen::RowMajor)");
63  }
64 
68  Index rows() const { return m_mat.rows(); }
72  Index cols() const { return m_mat.cols(); }
73 
80  // y_out = A * x_in
81  void perform_op(const Scalar* x_in, Scalar* y_out) const
82  {
83  MapConstVec x(x_in, m_mat.cols());
84  MapVec y(y_out, m_mat.rows());
85  y.noalias() = m_mat * x;
86  }
87 
92  {
93  return m_mat * mat_in;
94  }
95 
100  {
101  return m_mat.coeff(i, j);
102  }
103 };
104 
105 } // namespace Spectra
106 
107 #endif // SPECTRA_SPARSE_GEN_MAT_PROD_H
Eigen::SparseMatrix
A versatible sparse matrix representation.
Definition: SparseMatrix.h:96
Spectra::SparseGenMatProd::perform_op
void perform_op(const Scalar *x_in, Scalar *y_out) const
Definition: SparseGenMatProd.h:81
Spectra::SparseGenMatProd::operator*
Matrix operator*(const Eigen::Ref< const Matrix > &mat_in) const
Definition: SparseGenMatProd.h:91
x
set noclip points set clip one set noclip two set bar set border lt lw set xdata set ydata set zdata set x2data set y2data set boxwidth set dummy x
Definition: gnuplot_common_settings.hh:12
Spectra::SparseGenMatProd::rows
Index rows() const
Definition: SparseGenMatProd.h:68
mat
MatrixXf mat
Definition: Tutorial_AdvancedInitialization_CommaTemporary.cpp:1
Spectra::SparseGenMatProd::SparseGenMatProd
SparseGenMatProd(const Eigen::SparseMatrixBase< Derived > &mat)
Definition: SparseGenMatProd.h:57
Spectra::SparseGenMatProd::Index
Eigen::Index Index
Definition: SparseGenMatProd.h:38
j
std::ptrdiff_t j
Definition: tut_arithmetic_redux_minmax.cpp:2
Spectra::SparseGenMatProd::m_mat
ConstGenericSparseMatrix m_mat
Definition: SparseGenMatProd.h:46
Spectra::SparseGenMatProd
Definition: SparseGenMatProd.h:29
Eigen::Map
A matrix or vector expression mapping an existing array of data.
Definition: Map.h:94
y
Scalar * y
Definition: level1_cplx_impl.h:124
Eigen::Ref< const SparseMatrix >
Spectra::SparseGenMatProd::operator()
Scalar operator()(Index i, Index j) const
Definition: SparseGenMatProd.h:99
Spectra
Definition: LOBPCGSolver.h:19
Eigen::SparseMatrixBase
Base class of any sparse matrices or sparse expressions.
Definition: ForwardDeclarations.h:301
Spectra::SparseGenMatProd::Scalar
Scalar_ Scalar
Definition: SparseGenMatProd.h:35
Eigen::Matrix< Scalar, Eigen::Dynamic, 1 >
Spectra::SparseGenMatProd::cols
Index cols() const
Definition: SparseGenMatProd.h:72
Eigen::SparseCompressedBase< SparseMatrix< _Scalar, _Options, _StorageIndex > >::IsRowMajor
@ IsRowMajor
Definition: SparseMatrixBase.h:100
i
int i
Definition: BiCGSTAB_step_by_step.cpp:9
Eigen::Index
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index
The Index type as used for the API.
Definition: Meta.h:74


gtsam
Author(s):
autogenerated on Thu Apr 10 2025 03:03:35