Public Types | |
typedef const SparseMatrix < number > | MatrixType |
Public Member Functions | |
Accessor (MatrixType *matrix, const unsigned int row, const unsigned int index) | |
Accessor (MatrixType *matrix) | |
Accessor (const internals::SparseMatrixIterators::Accessor< number, false > &a) | |
number | value () const |
MatrixType & | get_matrix () const |
Private Attributes | |
MatrixType * | matrix |
Friends | |
class | Iterator |
Accessor class for constant matrices, used in the const_iterators. This class builds on the accessor classes used for sparsity patterns to loop over all nonzero entries, and only adds the accessor functions to gain access to the actual value stored at a certain location.
typedef const SparseMatrix<number> internals::SparseMatrixIterators::Accessor< number, true >::MatrixType |
Typedef for the type (including constness) of the matrix to be used here.
internals::SparseMatrixIterators::Accessor< number, true >::Accessor | ( | MatrixType * | matrix, | |
const unsigned int | row, | |||
const unsigned int | index | |||
) |
Constructor.
internals::SparseMatrixIterators::Accessor< number, true >::Accessor | ( | MatrixType * | matrix | ) |
Constructor. Construct the end accessor for the given matrix.
internals::SparseMatrixIterators::Accessor< number, true >::Accessor | ( | const internals::SparseMatrixIterators::Accessor< number, false > & | a | ) |
Copy constructor to get from a non-const accessor to a const accessor.
number internals::SparseMatrixIterators::Accessor< number, true >::value | ( | ) | const |
Value of this matrix entry.
MatrixType& internals::SparseMatrixIterators::Accessor< number, true >::get_matrix | ( | ) | const |
Return a reference to the matrix into which this accessor points. Note that in the present case, this is a constant reference.
friend class Iterator [friend] |
Make iterator class a friend.
Reimplemented from internals::SparsityPatternIterators::Accessor.
MatrixType* internals::SparseMatrixIterators::Accessor< number, true >::matrix [private] |
Pointer to the matrix we use.