ublas: boost::numeric::ublas::diagonal_matrix< T, L, A > Class Template Reference

# boost::numeric::ublas::diagonal_matrix< T, L, A > Class Template Reference

A diagonal matrix of values of type `T`, which is a specialization of a banded matrix. More...

Inherits boost::numeric::ublas::banded_matrix< T, L, A >.

List of all members.

## Public Types
typedef A::size_type | size_type
typedef banded_matrix< T, L, A > | matrix_type
typedef A | array_type
## Public Member Functions
BOOST_UBLAS_INLINE | diagonal_matrix (size_type size)
BOOST_UBLAS_INLINE | diagonal_matrix (size_type size, const array_type &data)
BOOST_UBLAS_INLINE | diagonal_matrix (size_type size1, size_type size2)
template<class AE >
BOOST_UBLAS_INLINE | diagonal_matrix (const matrix_expression< AE > &ae)
BOOST_UBLAS_INLINE diagonal_matrix & | operator= (const diagonal_matrix &m)
template<class AE >
BOOST_UBLAS_INLINE diagonal_matrix & | operator= (const matrix_expression< AE > &ae)

## Detailed Description

### template<class T, class L, class A>
class boost::numeric::ublas::diagonal_matrix< T, L, A >

For a -dimensional diagonal matrix, and , if then . The default storage for diagonal matrices is packed. Orientation and storage can also be specified. Default is `row` major `unbounded_array`.

As a specialization of a banded matrix, the constructor of the diagonal matrix creates a banded matrix with 0 upper and lower diagonals around the main diagonal and the matrix is obviously a square matrix. Operations are optimized based on these 2 assumptions. It is not required by the storage to initialize elements of the matrix.

Template Parameters:

  | T | the type of object stored in the matrix (like double, float, complex, etc...)
  | L | the storage organization. It can be either `row_major` or `column_major`. Default is `row_major`
  | A | the type of Storage array. Default is `unbounded_array`