boost::numeric::ublas::bounded_matrix< T, M, N, L > Class Template Reference

A dense matrix of values of type T with a variable size bounded to a maximum of by . More...

Inherits matrix< T, L, bounded_array< T, M *N > >.

List of all members.

Public Types
typedef matrix_type::size_type	size_type
Public Member Functions
BOOST_UBLAS_INLINE	bounded_matrix (size_type size1, size_type size2)
BOOST_UBLAS_INLINE	bounded_matrix (const bounded_matrix &m)
template<class A2 >
BOOST_UBLAS_INLINE	bounded_matrix (const matrix< T, L, A2 > &m)
template<class AE >
BOOST_UBLAS_INLINE	bounded_matrix (const matrix_expression< AE > &ae)
BOOST_UBLAS_INLINE bounded_matrix &	operator= (const bounded_matrix &m)
template<class L2 , class A2 >
BOOST_UBLAS_INLINE bounded_matrix &	operator= (const matrix< T, L2, A2 > &m)
template<class C >
BOOST_UBLAS_INLINE bounded_matrix &	operator= (const matrix_container< C > &m)
template<class AE >
BOOST_UBLAS_INLINE bounded_matrix &	operator= (const matrix_expression< AE > &ae)
Static Public Attributes
static const size_type	max_size1 = M
static const size_type	max_size2 = N

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Detailed Description

template<class T, std::size_t M, std::size_t N, class L>
class boost::numeric::ublas::bounded_matrix< T, M, N, L >

For a -dimensional matrix and , every element is mapped to the -th element of the container for row major orientation or the -th element of the container for column major orientation. Finally in a dense matrix all elements are represented in memory in a contiguous chunk of memory.

Orientation can be specified. Default is row_major The default constructor creates the matrix with size by . Elements are constructed by the storage type bounded_array, which need not initialise their value.

Template Parameters:

	T	the type of object stored in the matrix (like double, float, complex, etc...)
	M	maximum and default number of rows (if not specified at construction)
	N	maximum and default number of columns (if not specified at construction)
	L	the storage organization. It can be either row_major or column_major. Default is row_major