\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)
CGAL 4.14 - CGAL and Solvers
CGAL::Eigen_sparse_matrix< T > Struct Template Reference

#include <CGAL/Eigen_matrix.h>

Inherited by CGAL::Eigen_sparse_symmetric_matrix< T >.

Definition

The class Eigen_sparse_matrix is a wrapper around Eigen matrix type Eigen::SparseMatrix that represents general matrices, be they symmetric or not.

Is Model Of:
SparseLinearAlgebraTraits_d::Matrix
Template Parameters
TNumber type.
See also
CGAL::Eigen_vector<T>
CGAL::Eigen_matrix<T>
CGAL::Eigen_sparse_symmetric_matrix<T>

Public Member Functions

 Eigen_sparse_matrix (const EigenType &et)
 
 Eigen_sparse_matrix ()
 
 Eigen_sparse_matrix (std::size_t dim, bool is_symmetric=false)
 Create a square matrix initialized with zeros. More...
 
 Eigen_sparse_matrix (int dim, bool is_symmetric=false)
 Create a square matrix initialized with zeros. More...
 
 Eigen_sparse_matrix (std::size_t rows, std::size_t columns, bool is_symmetric=false)
 Create a rectangular matrix initialized with zeros. More...
 
void swap (Eigen_sparse_matrix &other)
 
 ~Eigen_sparse_matrix ()
 Delete this object and the wrapped matrix.
 
 Eigen_sparse_matrix (int rows, int columns, bool is_symmetric=false)
 Create a rectangular matrix initialized with zeros. More...
 
int row_dimension () const
 Return the matrix number of rows.
 
int column_dimension () const
 Return the matrix number of columns.
 
void set_coef (std::size_t i_, std::size_t j_, T val, bool new_coef=false)
 Write access to a matrix coefficient: a_ij <- val. More...
 
void add_coef (std::size_t i_, std::size_t j_, T val)
 Write access to a matrix coefficient: a_ij <- a_ij + val. More...
 
NT get_coef (std::size_t i_, std::size_t j_) const
 Read access to a matrix coefficient. More...
 
const EigenTypeeigen_object () const
 Return the internal matrix, with type EigenType.
 
EigenTypeeigen_object ()
 Return the internal matrix, with type EigenType.
 

Types

typedef Eigen::SparseMatrix< T > EigenType
 The internal matrix type from Eigen.
 
typedef T NT
 

Constructor & Destructor Documentation

◆ Eigen_sparse_matrix() [1/4]

template<class T>
CGAL::Eigen_sparse_matrix< T >::Eigen_sparse_matrix ( std::size_t  dim,
bool  is_symmetric = false 
)

Create a square matrix initialized with zeros.

Parameters
dimMatrix dimension.
is_symmetricSymmetric/hermitian?

◆ Eigen_sparse_matrix() [2/4]

template<class T>
CGAL::Eigen_sparse_matrix< T >::Eigen_sparse_matrix ( int  dim,
bool  is_symmetric = false 
)

Create a square matrix initialized with zeros.

Parameters
dimMatrix dimension.
is_symmetricSymmetric/hermitian?

◆ Eigen_sparse_matrix() [3/4]

template<class T>
CGAL::Eigen_sparse_matrix< T >::Eigen_sparse_matrix ( std::size_t  rows,
std::size_t  columns,
bool  is_symmetric = false 
)

Create a rectangular matrix initialized with zeros.

Precondition
rows == columns if is_symmetric is true.
Parameters
rowsNumber of rows.
columnsNumber of columns.
is_symmetricSymmetric/hermitian?

◆ Eigen_sparse_matrix() [4/4]

template<class T>
CGAL::Eigen_sparse_matrix< T >::Eigen_sparse_matrix ( int  rows,
int  columns,
bool  is_symmetric = false 
)

Create a rectangular matrix initialized with zeros.

Precondition
rows == columns if is_symmetric is true.
Parameters
rowsNumber of rows.
columnsNumber of columns.
is_symmetricSymmetric/hermitian?

Member Function Documentation

◆ add_coef()

template<class T>
void CGAL::Eigen_sparse_matrix< T >::add_coef ( std::size_t  i_,
std::size_t  j_,
val 
)

Write access to a matrix coefficient: a_ij <- a_ij + val.

Warning
For symmetric matrices, Eigen_sparse_matrix only stores the lower triangle add_coef() does nothing if (i, j) belongs to the upper triangle.
Precondition
0 <= i < row_dimension().
0 <= j < column_dimension().

◆ get_coef()

template<class T>
NT CGAL::Eigen_sparse_matrix< T >::get_coef ( std::size_t  i_,
std::size_t  j_ 
) const

Read access to a matrix coefficient.

Warning
Complexity:
  • O(log(n)) if the matrix is already built.
  • O(n) if the matrix is not built. n being the number of entries in the matrix.
Precondition
0 <= i < row_dimension().
0 <= j < column_dimension().

◆ set_coef()

template<class T>
void CGAL::Eigen_sparse_matrix< T >::set_coef ( std::size_t  i_,
std::size_t  j_,
val,
bool  new_coef = false 
)

Write access to a matrix coefficient: a_ij <- val.

Users can optimize calls to this function by setting 'new_coef' to true if the coefficient does not already exist in the matrix.

Warning
For symmetric matrices, Eigen_sparse_matrix only stores the lower triangle and set_coef() does nothing if (i, j) belongs to the upper triangle.
Precondition
0 <= i < row_dimension().
0 <= j < column_dimension().