SparseLinearAlgebraTraits_d::Matrix Concept Reference

Definition

SparseLinearAlgebraTraits_d::Matrix is a concept of a sparse matrix class.

Refines

Assignable

DefaultConstructible

Has models

CGAL::Eigen_sparse_matrix<T>

CGAL::Eigen_sparse_symmetric_matrix<T>

See also

SparseLinearAlgebraTraits_d

SparseLinearAlgebraTraits_d::Vector

Types
typedef unspecified_type	Index
	Index type.
typedef unspecified_type	NT

Creation
	Matrix (Index dimension)
	Create a square matrix initialized with zeros.
	Matrix (Index rows, Index columns)
	Create a rectangular matrix initialized with zeros.

Operations
Index	row_dimension () const
	Return the matrix number of rows.
Index	column_dimension () const
	Return the matrix number of columns.
NT	get_coef (Index row, Index column) const
	Read access to a matrix coefficient.
void	add_coef (Index row, Index column, NT value)
	Write access to a matrix coefficient: a_ij = a_ij + val.
void	set_coef (Index row, Index column, NT value, bool new_coef=false)
	Write access to a matrix coefficient: a_ij = val.
void	swap (Matrix &m)
	Swaps the content of *this and m.
Matrix	operator* (const NT &c, const Matrix &M)
	Multiplication with a scalar.
Matrix	operator+ (const Matrix &M0, const Matrix &M1)
	Sum of two matrices.

Member Function Documentation

add_coef()

void SparseLinearAlgebraTraits_d::Matrix::add_coef	(	Index	row,
		Index	column,
		NT	value
	)

Write access to a matrix coefficient: a_ij = a_ij + val.

Precondition

0 <= row < row_dimension()

0 <= column < column_dimension()

get_coef()

NT SparseLinearAlgebraTraits_d::Matrix::get_coef	(	Index	row,
		Index	column
	)		const

Read access to a matrix coefficient.

Precondition

0 <= row < row_dimension()

0 <= column < column_dimension()

set_coef()

void SparseLinearAlgebraTraits_d::Matrix::set_coef	(	Index	row,
		Index	column,
		NT	value,
		bool	new_coef = false
	)

Write access to a matrix coefficient: a_ij = val.

Optimization: Users can indicate that the coefficient does not already exist in the matrix by setting new_coef to true.

Precondition

0 <= i < row_dimension()

0 <= j < column_dimension()