Reference documentation for deal.II version 9.3.3
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#include <deal.II/lac/diagonal_matrix.h>
Public Types | |
using | value_type = typename VectorType::value_type |
using | size_type = typename VectorType::size_type |
Public Member Functions | |
DiagonalMatrix ()=default | |
DiagonalMatrix (const VectorType &vec) | |
void | reinit (const VectorType &vec) |
void | compress (VectorOperation::values operation) |
VectorType & | get_vector () |
void | clear () |
const VectorType & | get_vector () const |
size_type | m () const |
size_type | n () const |
value_type | operator() (const size_type i, const size_type j) const |
value_type & | operator() (const size_type i, const size_type j) |
template<typename number2 > | |
void | add (const size_type row, const size_type n_cols, const size_type *col_indices, const number2 *values, const bool elide_zero_values=true, const bool col_indices_are_sorted=false) |
void | add (const size_type i, const size_type j, const value_type value) |
void | vmult (VectorType &dst, const VectorType &src) const |
void | Tvmult (VectorType &dst, const VectorType &src) const |
void | vmult_add (VectorType &dst, const VectorType &src) const |
void | Tvmult_add (VectorType &dst, const VectorType &src) const |
void | initialize_dof_vector (VectorType &dst) const |
std::size_t | memory_consumption () const |
Private Attributes | |
VectorType | diagonal |
Subscriptor functionality | |
Classes derived from Subscriptor provide a facility to subscribe to this object. This is mostly used by the SmartPointer class. | |
std::atomic< unsigned int > | counter |
std::map< std::string, unsigned int > | counter_map |
std::vector< std::atomic< bool > * > | validity_pointers |
const std::type_info * | object_info |
void | subscribe (std::atomic< bool > *const validity, const std::string &identifier="") const |
void | unsubscribe (std::atomic< bool > *const validity, const std::string &identifier="") const |
unsigned int | n_subscriptions () const |
template<typename StreamType > | |
void | list_subscribers (StreamType &stream) const |
void | list_subscribers () const |
template<class Archive > | |
void | serialize (Archive &ar, const unsigned int version) |
using | map_value_type = decltype(counter_map)::value_type |
using | map_iterator = decltype(counter_map)::iterator |
static std::mutex | mutex |
static ::ExceptionBase & | ExcInUse (int arg1, std::string arg2, std::string arg3) |
static ::ExceptionBase & | ExcNoSubscriber (std::string arg1, std::string arg2) |
void | check_no_subscribers () const noexcept |
This class represents a n x n diagonal matrix based on a vector of size n. The matrix-vector products are realized by VectorType::scale
, so the template vector class needs to provide a scale()
method.
When using this class with ConstraintsMatrix::distribute_local_to_global(), the underlying vector needs to provide write access to all entries referenced by cells in an assembly process. This means that this class also needs access to ghost entries that are owned by other processors than the calling one. In practice this requires initialization of the vector as follows
Definition at line 48 of file diagonal_matrix.h.
using DiagonalMatrix< VectorType >::value_type = typename VectorType::value_type |
Definition at line 51 of file diagonal_matrix.h.
using DiagonalMatrix< VectorType >::size_type = typename VectorType::size_type |
Definition at line 52 of file diagonal_matrix.h.
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default |
Default constructor. The object needs still to be reinitialized to be usable.
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explicit |
Constructor initializing this object as a diagonal matrix of size n x n
where n
is the size of the vector, and with diagonal entries equal to the elements of vec
.
void DiagonalMatrix< VectorType >::reinit | ( | const VectorType & | vec | ) |
Initialize with a given vector by copying the content of the vector vec
.
void DiagonalMatrix< VectorType >::compress | ( | VectorOperation::values | operation | ) |
Compresses the data structures and allows the resulting matrix to be used in all other operations like matrix-vector products. This is a collective operation, i.e., it needs to be run on all processors when used in parallel.
VectorType & DiagonalMatrix< VectorType >::get_vector | ( | ) |
Return a reference to the underlying vector for manipulation of the entries on the matrix diagonal.
void DiagonalMatrix< VectorType >::clear | ( | ) |
Clear content of this object and reset to the state of default constructor.
const VectorType & DiagonalMatrix< VectorType >::get_vector | ( | ) | const |
Return a read-only reference to the underlying vector.
size_type DiagonalMatrix< VectorType >::m | ( | ) | const |
Number of rows of this matrix. This number corresponds to the size of the underlying vector.
size_type DiagonalMatrix< VectorType >::n | ( | ) | const |
Number of columns of this matrix. This number corresponds to the size of the underlying vector.
value_type DiagonalMatrix< VectorType >::operator() | ( | const size_type | i, |
const size_type | j | ||
) | const |
Read-only access to a value. This is restricted to the case where i==j due to the matrix storage.
If the vector representing the diagonal is distributed with MPI, not all of the indices i might actually be accessible. Refer to the method get_vector().locally_owned_elements()
for the entries that actually are accessible.
value_type & DiagonalMatrix< VectorType >::operator() | ( | const size_type | i, |
const size_type | j | ||
) |
Read-write access to a value. This is restricted to the case where i==j due to the matrix storage.
If the vector representing the diagonal is distributed with MPI, not all of the indices i might actually be accessible. Refer to the method get_vector().locally_owned_elements()
for the entries that actually are accessible.
void DiagonalMatrix< VectorType >::add | ( | const size_type | row, |
const size_type | n_cols, | ||
const size_type * | col_indices, | ||
const number2 * | values, | ||
const bool | elide_zero_values = true , |
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const bool | col_indices_are_sorted = false |
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) |
Add an array of values given by values
in the given global matrix row at columns specified by col_indices. Due to the storage of this matrix, entries are only added to the diagonal of the matrix. All other entries are ignored and no exception is thrown.
This function is for a consistent interface with the other matrix classes in deal.II and can be used in AffineConstraints::distribute_local_to_global to get exactly the same diagonal as when assembling into a sparse matrix.
void DiagonalMatrix< VectorType >::add | ( | const size_type | i, |
const size_type | j, | ||
const value_type | value | ||
) |
Add value to the element (i,j).
Due to the storage of this matrix, entries are only added to the diagonal of the matrix. All other entries are ignored and no exception is thrown.
void DiagonalMatrix< VectorType >::vmult | ( | VectorType & | dst, |
const VectorType & | src | ||
) | const |
Performs a matrix-vector multiplication with the given matrix.
void DiagonalMatrix< VectorType >::Tvmult | ( | VectorType & | dst, |
const VectorType & | src | ||
) | const |
Performs a transpose matrix-vector multiplication with the given matrix. Since this represents a diagonal matrix, exactly the same as vmult().
void DiagonalMatrix< VectorType >::vmult_add | ( | VectorType & | dst, |
const VectorType & | src | ||
) | const |
Adds the result of a matrix-vector multiplication into the destination vector dst. Needs to create a temporary vector, which makes performance slower than for vmult()
.
void DiagonalMatrix< VectorType >::Tvmult_add | ( | VectorType & | dst, |
const VectorType & | src | ||
) | const |
Adds the result of a transpose matrix-vector multiplication into the destination vector dst. Needs to create a temporary vector, which makes performance slower than for Tvmult()
.
void DiagonalMatrix< VectorType >::initialize_dof_vector | ( | VectorType & | dst | ) | const |
Initialize vector dst
to have the same size and partition as diagonal
member of this class.
This is a part of the interface required by linear_operator().
std::size_t DiagonalMatrix< VectorType >::memory_consumption | ( | ) | const |
Return the memory consumption of this object.
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private |
The stored vector.
Definition at line 219 of file diagonal_matrix.h.