#include <deal.II/lac/la_parallel_block_vector.h>

Inheritance diagram for LinearAlgebra::distributed::BlockVector< Number >:

[legend]

Public Types
using	BaseClass = BlockVectorBase< Vector< Number > >

using	BlockType = typename BaseClass::BlockType

using	value_type = typename BaseClass::value_type

using	real_type = typename BaseClass::real_type

using	pointer = typename BaseClass::pointer

using	const_pointer = typename BaseClass::const_pointer

using	reference = typename BaseClass::reference

using	const_reference = typename BaseClass::const_reference

using	size_type = typename BaseClass::size_type

using	iterator = typename BaseClass::iterator

using	const_iterator = typename BaseClass::const_iterator

Public Member Functions
void	collect_sizes ()

BlockType &	block (const unsigned int i)

const BlockType &	block (const unsigned int i) const

const BlockIndices &	get_block_indices () const

unsigned int	n_blocks () const

std::size_t	locally_owned_size () const

iterator	begin ()

const_iterator	begin () const

iterator	end ()

const_iterator	end () const

value_type	operator() (const size_type i) const

reference	operator() (const size_type i)

value_type	operator[] (const size_type i) const

reference	operator[] (const size_type i)

void	extract_subvector_to (const std::vector< size_type > &indices, std::vector< OtherNumber > &values) const

virtual void	extract_subvector_to (const ArrayView< const types::global_dof_index > &indices, const ArrayView< value_type > &entries) const override

void	extract_subvector_to (ForwardIterator indices_begin, const ForwardIterator indices_end, OutputIterator values_begin) const

virtual void	extract_subvector_to (const ArrayView< const types::global_dof_index > &indices, const ArrayView< VectorType::value_type > &elements) const=0

bool	operator== (const BlockVectorBase< VectorType2 > &v) const

value_type	operator* (const BlockVectorBase &V) const

value_type	add_and_dot (const value_type a, const BlockVectorBase &V, const BlockVectorBase &W)

bool	in_local_range (const size_type global_index) const

bool	is_non_negative () const

BlockVectorBase &	operator+= (const BlockVectorBase &V)

BlockVectorBase &	operator-= (const BlockVectorBase &V)

void	add (const std::vector< size_type > &indices, const Vector< Number > &values)

void	add (const size_type n_elements, const size_type indices, const Number values)

void	add (const value_type s)

void	add (const value_type a, const BlockVectorBase &V)

void	add (const value_type a, const BlockVectorBase &V, const value_type b, const BlockVectorBase &W)

void	sadd (const value_type s, const BlockVectorBase &V)

void	sadd (const value_type s, const value_type a, const BlockVectorBase &V)

void	sadd (const value_type s, const value_type a, const BlockVectorBase &V, const value_type b, const BlockVectorBase &W)

void	sadd (const value_type s, const value_type a, const BlockVectorBase &V, const value_type b, const BlockVectorBase &W, const value_type c, const BlockVectorBase &X)

BlockVectorBase &	operator*= (const value_type factor)

BlockVectorBase &	operator/= (const value_type factor)

void	scale (const BlockVector2 &v)

void	equ (const value_type a, const BlockVector2 &V)

MPI_Comm	get_mpi_communicator () const

template<class Archive >
void	serialize (Archive &ar, const unsigned int version)

1: Basic operations
	BlockVector (const size_type num_blocks=0, const size_type block_size=0)

	BlockVector (const BlockVector< Number > &V)

template<typename OtherNumber >
	BlockVector (const BlockVector< OtherNumber > &v)

	BlockVector (const std::vector< size_type > &block_sizes)

	BlockVector (const std::vector< IndexSet > &local_ranges, const std::vector< IndexSet > &ghost_indices, const MPI_Comm communicator)

	BlockVector (const std::vector< IndexSet > &local_ranges, const MPI_Comm communicator)

	BlockVector (const std::vector< std::shared_ptr< const Utilities::MPI::Partitioner > > &partitioners, const MPI_Comm &comm_sm=MPI_COMM_SELF)

	~BlockVector ()=default

BlockVector &	operator= (const value_type s)

BlockVector &	operator= (const BlockVector &V)

template<class Number2 >
BlockVector &	operator= (const BlockVector< Number2 > &V)

BlockVector &	operator= (const Vector< Number > &V)

BlockVector< Number > &	operator= (const PETScWrappers::MPI::BlockVector &petsc_vec)

BlockVector< Number > &	operator= (const TrilinosWrappers::MPI::BlockVector &trilinos_vec)

void	reinit (const size_type num_blocks, const size_type block_size=0, const bool omit_zeroing_entries=false)

void	reinit (const std::vector< size_type > &block_sizes, const bool omit_zeroing_entries=false)

template<typename Number2 >
void	reinit (const BlockVector< Number2 > &V, const bool omit_zeroing_entries=false)

void	reinit (const std::vector< IndexSet > &local_ranges, const std::vector< IndexSet > &ghost_indices, const MPI_Comm communicator)

void	reinit (const std::vector< IndexSet > &local_ranges, const MPI_Comm communicator)

void	reinit (const std::vector< std::shared_ptr< const Utilities::MPI::Partitioner > > &partitioners, const MPI_Comm &comm_sm=MPI_COMM_SELF)

void	reinit (const std::vector< std::shared_ptr< const Utilities::MPI::Partitioner > > &partitioners, const bool make_ghosted, const MPI_Comm &comm_sm=MPI_COMM_SELF)

void	compress (VectorOperation::values operation)

void	update_ghost_values () const

void	zero_out_ghost_values () const

bool	has_ghost_elements () const

void	set_ghost_state (const bool ghosted) const

template<typename Number2 >
void	copy_locally_owned_data_from (const BlockVector< Number2 > &src)

template<typename OtherNumber >
void	add (const std::vector< size_type > &indices, const ::Vector< OtherNumber > &values)

void	sadd (const Number s, const BlockVector< Number > &V)

bool	all_zero () const

Number	mean_value () const

real_type	lp_norm (const real_type p) const

void	swap (BlockVector< Number > &v) noexcept

2: Vector space operations
BlockVector< Number > &	operator*= (const Number factor)

BlockVector< Number > &	operator/= (const Number factor)

BlockVector< Number > &	operator+= (const BlockVector< Number > &V)

BlockVector< Number > &	operator-= (const BlockVector< Number > &V)

void	import_elements (const LinearAlgebra::ReadWriteVector< Number > &V, const VectorOperation::values operation, const std::shared_ptr< const Utilities::MPI::CommunicationPatternBase > &communication_pattern={})

void	import (const LinearAlgebra::ReadWriteVector< Number > &V, VectorOperation::values operation, std::shared_ptr< const Utilities::MPI::CommunicationPatternBase > communication_pattern={})

Number	operator* (const BlockVector< Number > &V) const

template<typename FullMatrixType >
void	multivector_inner_product (FullMatrixType &matrix, const BlockVector< Number > &V, const bool symmetric=false) const

template<typename FullMatrixType >
Number	multivector_inner_product_with_metric (const FullMatrixType &matrix, const BlockVector< Number > &V, const bool symmetric=false) const

template<typename FullMatrixType >
void	mmult (BlockVector< Number > &V, const FullMatrixType &matrix, const Number s=Number(0.), const Number b=Number(1.)) const

void	add (const Number a)

void	add (const Number a, const BlockVector< Number > &V)

void	add (const Number a, const BlockVector< Number > &V, const Number b, const BlockVector< Number > &W)

void	add (const std::vector< size_type > &indices, const std::vector< Number > &values)

void	sadd (const Number s, const Number a, const BlockVector< Number > &V)

void	scale (const BlockVector< Number > &scaling_factors)

void	equ (const Number a, const BlockVector< Number > &V)

real_type	l1_norm () const

real_type	l2_norm () const

real_type	norm_sqr () const

real_type	linfty_norm () const

Number	add_and_dot (const Number a, const BlockVector< Number > &V, const BlockVector< Number > &W)

virtual size_type	size () const override

::IndexSet	locally_owned_elements () const

void	print (std::ostream &out, const unsigned int precision=3, const bool scientific=true, const bool across=true) const

std::size_t	memory_consumption () const

EnableObserverPointer functionality
Classes derived from EnableObserverPointer provide a facility to subscribe to this object. This is mostly used by the ObserverPointer class.
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

Static Public Member Functions
static ::ExceptionBase &	ExcVectorTypeNotCompatible ()

static ::ExceptionBase &	ExcIteratorRangeDoesNotMatchVectorSize ()

static ::ExceptionBase &	ExcInUse (int arg1, std::string arg2, std::string arg3)

static ::ExceptionBase &	ExcNoSubscriber (std::string arg1, std::string arg2)

Static Public Attributes
static constexpr unsigned int	communication_block_size = 20

Protected Attributes
std::vector< Vector< Number > >	components

BlockIndices	block_indices

Private Types
using	map_value_type = decltype(counter_map)::value_type

using	map_iterator = decltype(counter_map)::iterator

Private Member Functions
void	check_no_subscribers () const noexcept

Private Attributes
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

Static Private Attributes
static std::mutex	mutex

Detailed Description

template<typename Number>
class LinearAlgebra::distributed::BlockVector< Number >

An implementation of block vectors based on distributed deal.II vectors. While the base class provides for most of the interface, this class handles the actual allocation of vectors and provides functions that are specific to the underlying vector type.

Note: Instantiations for this template are provided for <float> and <double>; others can be generated in application programs (see the section on Template instantiations in the manual).

See also: Block (linear algebra)

Definition at line 84 of file la_parallel_block_vector.h.

Member Typedef Documentation

◆ BaseClass

template<typename Number >

using LinearAlgebra::distributed::BlockVector< Number >::BaseClass = BlockVectorBase<Vector<Number> >

Typedef the base class for simpler access to its own alias.

Definition at line 104 of file la_parallel_block_vector.h.

◆ BlockType

template<typename Number >

using LinearAlgebra::distributed::BlockVector< Number >::BlockType = typename BaseClass::BlockType

Typedef the type of the underlying vector.

Definition at line 109 of file la_parallel_block_vector.h.

◆ value_type

template<typename Number >

using LinearAlgebra::distributed::BlockVector< Number >::value_type = typename BaseClass::value_type

Import the alias from the base class.

Definition at line 114 of file la_parallel_block_vector.h.

◆ real_type

template<typename Number >

using LinearAlgebra::distributed::BlockVector< Number >::real_type = typename BaseClass::real_type

Definition at line 115 of file la_parallel_block_vector.h.

◆ pointer

template<typename Number >

using LinearAlgebra::distributed::BlockVector< Number >::pointer = typename BaseClass::pointer

Definition at line 116 of file la_parallel_block_vector.h.

◆ const_pointer

template<typename Number >

using LinearAlgebra::distributed::BlockVector< Number >::const_pointer = typename BaseClass::const_pointer

Definition at line 117 of file la_parallel_block_vector.h.

◆ reference

template<typename Number >

using LinearAlgebra::distributed::BlockVector< Number >::reference = typename BaseClass::reference

Definition at line 118 of file la_parallel_block_vector.h.

◆ const_reference

template<typename Number >

using LinearAlgebra::distributed::BlockVector< Number >::const_reference = typename BaseClass::const_reference

Definition at line 119 of file la_parallel_block_vector.h.

◆ size_type

template<typename Number >

using LinearAlgebra::distributed::BlockVector< Number >::size_type = typename BaseClass::size_type

Definition at line 120 of file la_parallel_block_vector.h.

◆ iterator

template<typename Number >

using LinearAlgebra::distributed::BlockVector< Number >::iterator = typename BaseClass::iterator

Definition at line 121 of file la_parallel_block_vector.h.

◆ const_iterator

template<typename Number >

using LinearAlgebra::distributed::BlockVector< Number >::const_iterator = typename BaseClass::const_iterator

Definition at line 122 of file la_parallel_block_vector.h.

◆ map_value_type

using EnableObserverPointer::map_value_type = decltype(counter_map)::value_type

privateinherited

The data type used in counter_map.

Definition at line 238 of file enable_observer_pointer.h.

◆ map_iterator

using EnableObserverPointer::map_iterator = decltype(counter_map)::iterator

privateinherited

The iterator type used in counter_map.

Definition at line 243 of file enable_observer_pointer.h.

Constructor & Destructor Documentation

◆ BlockVector() [1/7]

template<typename Number >

LinearAlgebra::distributed::BlockVector< Number >::BlockVector	(	const size_type	num_blocks = `0`,
		const size_type	block_size = `0`
	)

explicit

Constructor. There are three ways to use this constructor. First, without any arguments, it generates an object with no blocks. Given one argument, it initializes num_blocks blocks, but these blocks have size zero. The third variant finally initializes all blocks to the same size block_size.

Confer the other constructor further down if you intend to use blocks of different sizes.

◆ BlockVector() [2/7]

template<typename Number >

LinearAlgebra::distributed::BlockVector< Number >::BlockVector ( const BlockVector< Number > & V )

Copy-Constructor. Dimension set to that of V, all components are copied from V

◆ BlockVector() [3/7]

template<typename Number >

template<typename OtherNumber >

LinearAlgebra::distributed::BlockVector< Number >::BlockVector ( const BlockVector< OtherNumber > & v )

explicit

Copy constructor taking a BlockVector of another data type. This will fail if there is no conversion path from OtherNumber to Number. Note that you may lose accuracy when copying to a BlockVector with data elements with less accuracy.

◆ BlockVector() [4/7]

template<typename Number >

LinearAlgebra::distributed::BlockVector< Number >::BlockVector ( const std::vector< size_type > & block_sizes )

Constructor. Set the number of blocks to block_sizes.size() and initialize each block with block_sizes[i] zero elements.

◆ BlockVector() [5/7]

template<typename Number >

LinearAlgebra::distributed::BlockVector< Number >::BlockVector	(	const std::vector< IndexSet > &	local_ranges,
		const std::vector< IndexSet > &	ghost_indices,
		const MPI_Comm	communicator
	)

Construct a block vector with an IndexSet for the local range and ghost entries for each block.

◆ BlockVector() [6/7]

template<typename Number >

LinearAlgebra::distributed::BlockVector< Number >::BlockVector	(	const std::vector< IndexSet > &	local_ranges,
		const MPI_Comm	communicator
	)

Same as above but the ghost indices are assumed to be empty.

◆ BlockVector() [7/7]

template<typename Number >

LinearAlgebra::distributed::BlockVector< Number >::BlockVector	(	const std::vector< std::shared_ptr< const Utilities::MPI::Partitioner > > &	partitioners,
		const MPI_Comm &	comm_sm = `MPI_COMM_SELF`
	)

Construct a block vector with a Utilities::MPI::Partitioner for each block.

The optional argument comm_sm, which consists of processes on the same shared-memory domain, allows users have read-only access to both locally-owned and ghost values of processes combined in the shared-memory communicator. See the general documentation of the LinearAlgebra::distributed::Vector class for more information about this argument.

◆ ~BlockVector()

template<typename Number >

LinearAlgebra::distributed::BlockVector< Number >::~BlockVector ( )

default

Destructor.

Note: We need to explicitly provide a destructor, otherwise the linker may think it is unused and discards it, although required in a different section. The Intel compiler is prone to this behavior.

Member Function Documentation

◆ operator=() [1/6]

template<typename Number >

BlockVector & LinearAlgebra::distributed::BlockVector< Number >::operator= ( const value_type s )

Copy operator: fill all components of the vector with the given scalar value.

◆ operator=() [2/6]

template<typename Number >

BlockVector & LinearAlgebra::distributed::BlockVector< Number >::operator= ( const BlockVector< Number > & V )

Copy operator for arguments of the same type. Resize the present vector if necessary to the correct number of blocks, then copy the individual blocks from v using the copy-assignment operator of the class that represents the individual blocks.

Copying the vectors that make up individual blocks can have complex semantics in parallel vector classes. See the information provided by the class used to represent the individual blocks.

◆ operator=() [3/6]

template<typename Number >

template<class Number2 >

BlockVector & LinearAlgebra::distributed::BlockVector< Number >::operator= ( const BlockVector< Number2 > & V )

Copy operator for arguments of different type. Resize the present vector if necessary to the correct number of blocks, then copy the individual blocks from v using the copy-assignment operator of the class that represents the individual blocks.

Copying the vectors that make up individual blocks can have complex semantics in parallel vector classes. See the information provided by the class used to represent the individual blocks.

◆ operator=() [4/6]

template<typename Number >

BlockVector & LinearAlgebra::distributed::BlockVector< Number >::operator= ( const Vector< Number > & V )

Copy a regular vector into a block vector.

◆ operator=() [5/6]

template<typename Number >

BlockVector< Number > & LinearAlgebra::distributed::BlockVector< Number >::operator= ( const PETScWrappers::MPI::BlockVector< Number > & petsc_vec )

Copy the content of a PETSc vector into the calling vector. This function assumes that the vectors layouts have already been initialized to match.

This operator is only available if deal.II was configured with PETSc.

◆ operator=() [6/6]

template<typename Number >

BlockVector< Number > & LinearAlgebra::distributed::BlockVector< Number >::operator= ( const TrilinosWrappers::MPI::BlockVector< Number > & trilinos_vec )

Copy the content of a Trilinos vector into the calling vector. This function assumes that the vectors layouts have already been initialized to match.

This operator is only available if deal.II was configured with Trilinos.

◆ reinit() [1/7]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::reinit	(	const size_type	num_blocks,
		const size_type	block_size = `0`,
		const bool	omit_zeroing_entries = `false`
	)

Reinitialize the BlockVector to contain num_blocks blocks of size block_size each.

If the second argument is left at its default value, then the block vector allocates the specified number of blocks but leaves them at zero size. You then need to later reinitialize the individual blocks, and call collect_sizes() to update the block system's knowledge of its individual block's sizes.

If omit_zeroing_entries==false, the vector is filled with zeros.

◆ reinit() [2/7]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::reinit	(	const std::vector< size_type > &	block_sizes,
		const bool	omit_zeroing_entries = `false`
	)

Reinitialize the BlockVector such that it contains block_sizes.size() blocks. Each block is reinitialized to dimension block_sizes[i].

If the number of blocks is the same as before this function was called, all vectors remain the same and reinit() is called for each vector.

If omit_zeroing_entries==false, the vector is filled with zeros.

Note that you must call this (or the other reinit() functions) function, rather than calling the reinit() functions of an individual block, to allow the block vector to update its caches of vector sizes. If you call reinit() on one of the blocks, then subsequent actions on this object may yield unpredictable results since they may be routed to the wrong block.

◆ reinit() [3/7]

template<typename Number >

template<typename Number2 >

void LinearAlgebra::distributed::BlockVector< Number >::reinit	(	const BlockVector< Number2 > &	V,
		const bool	omit_zeroing_entries = `false`
	)

Change the dimension to that of the vector V. The same applies as for the other reinit() function.

The elements of V are not copied, i.e. this function is the same as calling reinit (V.size(), omit_zeroing_entries).

Note that you must call this (or the other reinit() functions) function, rather than calling the reinit() functions of an individual block, to allow the block vector to update its caches of vector sizes. If you call reinit() of one of the blocks, then subsequent actions of this object may yield unpredictable results since they may be routed to the wrong block.

◆ reinit() [4/7]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::reinit	(	const std::vector< IndexSet > &	local_ranges,
		const std::vector< IndexSet > &	ghost_indices,
		const MPI_Comm	communicator
	)

Initialize the block vector. For each block, the local range is specified by the corresponding entry in local_ranges (note that this must be a contiguous interval, multiple intervals are not possible). The parameter ghost_indices specifies ghost indices for each block, i.e., indices which one might need to read data from or accumulate data from. It is allowed that the set of ghost indices also contains the local range, but it does not need to.

This function involves global communication, so it should only be called once for a given layout. Use the reinit function with BlockVector<Number> argument to create additional vectors with the same parallel layout.

See also: vectors with ghost elements

◆ reinit() [5/7]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::reinit	(	const std::vector< IndexSet > &	local_ranges,
		const MPI_Comm	communicator
	)

Same as above, but without ghost entries.

◆ reinit() [6/7]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::reinit	(	const std::vector< std::shared_ptr< const Utilities::MPI::Partitioner > > &	partitioners,
		const MPI_Comm &	comm_sm = `MPI_COMM_SELF`
	)

Initialize each block with the corresponding parallel partitioning in partitioners. The input arguments are shared pointers, which store the partitioner data only once and can be shared between several vectors with the same layout.

The optional argument comm_sm, which consists of processes on the same shared-memory domain, allows users have read-only access to both locally-owned and ghost values of processes combined in the shared-memory communicator. See the general documentation of the LinearAlgebra::distributed::Vector class for more information about this argument.

◆ reinit() [7/7]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::reinit	(	const std::vector< std::shared_ptr< const Utilities::MPI::Partitioner > > &	partitioners,
		const bool	make_ghosted,
		const MPI_Comm &	comm_sm = `MPI_COMM_SELF`
	)

This function exists purely for reasons of compatibility with the PETScWrappers::MPI::Vector and TrilinosWrappers::MPI::Vector classes.

It calls the function above, and ignores the parameter make_ghosted.

◆ compress()

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::compress ( VectorOperation::values operation )

This function copies the data that has accumulated in the data buffer for ghost indices to the owning processor. For the meaning of the argument operation, see the entry on Compressing distributed vectors and matrices in the glossary.

There are two variants for this function. If called with argument VectorOperation::add adds all the data accumulated in ghost elements to the respective elements on the owning processor and clears the ghost array afterwards. If called with argument VectorOperation::insert, a set operation is performed. Since setting elements in a vector with ghost elements is ambiguous (as one can set both the element on the ghost site as well as the owning site), this operation makes the assumption that all data is set correctly on the owning processor. Upon call of compress(VectorOperation::insert), all ghost entries are therefore simply zeroed out (using zero_ghost_values()). In debug mode, a check is performed that makes sure that the data set is actually consistent between processors, i.e., whenever a non-zero ghost element is found, it is compared to the value on the owning processor and an exception is thrown if these elements do not agree.

◆ update_ghost_values()

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::update_ghost_values ( ) const

Fills the data field for ghost indices with the values stored in the respective positions of the owning processor. This function is needed before reading from ghosts. The function is const even though ghost data is changed. This is needed to allow functions with a const vector to perform the data exchange without creating temporaries.

◆ zero_out_ghost_values()

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::zero_out_ghost_values ( ) const

This method zeros the entries on ghost dofs, but does not touch locally owned DoFs.

After calling this method, read access to ghost elements of the vector is forbidden and an exception is thrown. Only write access to ghost elements is allowed in this state.

◆ has_ghost_elements()

template<typename Number >

bool LinearAlgebra::distributed::BlockVector< Number >::has_ghost_elements ( ) const

Return if any of the blocks in this vector contains ghost elements.

◆ set_ghost_state()

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::set_ghost_state ( const bool ghosted ) const

Change the ghost state of all blocks in this vector to ghosted.

◆ copy_locally_owned_data_from()

template<typename Number >

template<typename Number2 >

void LinearAlgebra::distributed::BlockVector< Number >::copy_locally_owned_data_from ( const BlockVector< Number2 > & src )

This method copies the data in the locally owned range from another distributed vector src into the calling vector. As opposed to operator= that also includes ghost entries, this operation ignores the ghost range. The only prerequisite is that the local range on the calling vector and the given vector src are the same on all processors. It is explicitly allowed that the two vectors have different ghost elements that might or might not be related to each other.

Since no data exchange is performed, make sure that neither src nor the calling vector have pending communications in order to obtain correct results.

◆ add() [1/10]

template<typename Number >

template<typename OtherNumber >

void LinearAlgebra::distributed::BlockVector< Number >::add	(	const std::vector< size_type > &	indices,
		const ::Vector< OtherNumber > &	values
	)

This is a collective add operation that adds a whole set of values stored in values to the vector components specified by indices.

◆ sadd() [1/6]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::sadd	(	const Number	s,
		const BlockVector< Number > &	V
	)

Scaling and simple vector addition, i.e. this = s(*this)+V.

◆ all_zero()

template<typename Number >

bool LinearAlgebra::distributed::BlockVector< Number >::all_zero ( ) const

Return whether the vector contains only elements with value zero. This function is mainly for internal consistency checks and should seldom be used when not in debug mode since it uses quite some time.

◆ mean_value()

template<typename Number >

Number LinearAlgebra::distributed::BlockVector< Number >::mean_value ( ) const

Compute the mean value of all the entries in the vector.

◆ lp_norm()

template<typename Number >

real_type LinearAlgebra::distributed::BlockVector< Number >::lp_norm ( const real_type p ) const

\(l_p\)-norm of the vector. The pth root of the sum of the pth powers of the absolute values of the elements.

◆ swap()

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::swap ( BlockVector< Number > & v )

noexcept

Swap the contents of this vector and the other vector v. One could do this operation with a temporary variable and copying over the data elements, but this function is significantly more efficient since it only swaps the pointers to the data of the two vectors and therefore does not need to allocate temporary storage and move data around.

Limitation: right now this function only works if both vectors have the same number of blocks. If needed, the numbers of blocks should be exchanged, too.

This function is analogous to the swap() function of all C++ standard containers. Also, there is a global function swap(u,v) that simply calls u.swap(v), again in analogy to standard functions.

◆ operator*=() [1/2]

template<typename Number >

BlockVector< Number > & LinearAlgebra::distributed::BlockVector< Number >::operator*= ( const Number factor )

Multiply the entire vector by a fixed factor.

◆ operator/=() [1/2]

template<typename Number >

BlockVector< Number > & LinearAlgebra::distributed::BlockVector< Number >::operator/= ( const Number factor )

Divide the entire vector by a fixed factor.

◆ operator+=() [1/2]

template<typename Number >

BlockVector< Number > & LinearAlgebra::distributed::BlockVector< Number >::operator+= ( const BlockVector< Number > & V )

Add the vector V to the present one.

◆ operator-=() [1/2]

template<typename Number >

BlockVector< Number > & LinearAlgebra::distributed::BlockVector< Number >::operator-= ( const BlockVector< Number > & V )

Subtract the vector V from the present one.

◆ import_elements()

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::import_elements	(	const LinearAlgebra::ReadWriteVector< Number > &	V,
		const VectorOperation::values	operation,
		const std::shared_ptr< const Utilities::MPI::CommunicationPatternBase > &	communication_pattern = `{}`
	)

Import all the elements present in the vector's IndexSet from the input vector V. VectorOperation::values operation is used to decide if the elements in V should be added to the current vector or replace the current elements. The last parameter can be used if the same communication pattern is used multiple times. This can be used to improve performance.

◆ import()

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::import	(	const LinearAlgebra::ReadWriteVector< Number > &	V,
		VectorOperation::values	operation,
		std::shared_ptr< const Utilities::MPI::CommunicationPatternBase >	communication_pattern = `{}`
	)

inline

Deprecated:: Use import_elements() instead.

Definition at line 573 of file la_parallel_block_vector.h.

◆ operator*() [1/2]

template<typename Number >

Number LinearAlgebra::distributed::BlockVector< Number >::operator* ( const BlockVector< Number > & V ) const

Return the scalar product of two vectors.

◆ multivector_inner_product()

template<typename Number >

template<typename FullMatrixType >

void LinearAlgebra::distributed::BlockVector< Number >::multivector_inner_product	(	FullMatrixType &	matrix,
		const BlockVector< Number > &	V,
		const bool	symmetric = `false`
	)		const

Calculate the scalar product between each block of this vector and V and store the result in a full matrix matrix. This function computes the result by forming \(A_{ij}=U_i \cdot V_j\) where \(U_i\) and \(V_j\) indicate the \(i\)th block (not element!) of \(U\) and the \(j\)th block of \(V\), respectively. If symmetric is true, it is assumed that inner product results in a square symmetric matrix and almost half of the scalar products can be avoided.

Obviously, this function can only be used if all blocks of both vectors are of the same size.

Note: Internally, a single global reduction will be called to accumulate scalar product between locally owned degrees of freedom.

◆ multivector_inner_product_with_metric()

template<typename Number >

template<typename FullMatrixType >

Number LinearAlgebra::distributed::BlockVector< Number >::multivector_inner_product_with_metric	(	const FullMatrixType &	matrix,
		const BlockVector< Number > &	V,
		const bool	symmetric = `false`
	)		const

Calculate the scalar product between each block of this vector and V using a metric tensor matrix. This function computes the result of \( \sum_{ij} A^{ij} U_i \cdot V_j\) where \(U_i\) and \(V_j\) indicate the \(i\)th block (not element) of \(U\) and the \(j\)th block of \(V\), respectively. If symmetric is true, it is assumed that \(U_i \cdot V_j\) and \(A^{ij}\) are symmetric matrices and almost half of the scalar products can be avoided.

Obviously, this function can only be used if all blocks of both vectors are of the same size.

Note: Internally, a single global reduction will be called to accumulate the scalar product between locally owned degrees of freedom.

◆ mmult()

template<typename Number >

template<typename FullMatrixType >

void LinearAlgebra::distributed::BlockVector< Number >::mmult	(	BlockVector< Number > &	V,
		const FullMatrixType &	matrix,
		const Number	s = `Number(0.)`,
		const Number	b = `Number(1.)`
	)		const

Set each block of this vector as follows: \(V^i = s V^i + b \sum_{j} U_j A^{ji}\) where \(V^i\) and \(U_j\) indicate the \(i\)th block (not element) of \(V\) and the \(j\)th block of \(U\), respectively.

Obviously, this function can only be used if all blocks of both vectors are of the same size.

◆ add() [2/10]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::add ( const Number a )

Add a to all components. Note that a is a scalar not a vector.

◆ add() [3/10]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::add	(	const Number	a,
		const BlockVector< Number > &	V
	)

Simple addition of a multiple of a vector, i.e. *this += a*V.

◆ add() [4/10]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::add	(	const Number	a,
		const BlockVector< Number > &	V,
		const Number	b,
		const BlockVector< Number > &	W
	)

Multiple addition of scaled vectors, i.e. *this += a*V+b*W.

◆ add() [5/10]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::add	(	const std::vector< size_type > &	indices,
		const std::vector< Number > &	values
	)

A collective add operation: This function adds a whole set of values stored in values to the vector components specified by indices.

◆ sadd() [2/6]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::sadd	(	const Number	s,
		const Number	a,
		const BlockVector< Number > &	V
	)

Scaling and simple addition of a multiple of a vector, i.e. this = s(*this)+a*V.

◆ scale() [1/2]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::scale ( const BlockVector< Number > & scaling_factors )

Scale each element of this vector by the corresponding element in the argument. This function is mostly meant to simulate multiplication (and immediate re-assignment) by a diagonal scaling matrix.

◆ equ() [1/2]

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::equ	(	const Number	a,
		const BlockVector< Number > &	V
	)

Assignment *this = a*V.

◆ l1_norm()

template<typename Number >

real_type LinearAlgebra::distributed::BlockVector< Number >::l1_norm ( ) const

Return the l₁ norm of the vector (i.e., the sum of the absolute values of all entries among all processors).

◆ l2_norm()

template<typename Number >

real_type LinearAlgebra::distributed::BlockVector< Number >::l2_norm ( ) const

Return the \(l_2\) norm of the vector (i.e., the square root of the sum of the square of all entries among all processors).

◆ norm_sqr()

template<typename Number >

real_type LinearAlgebra::distributed::BlockVector< Number >::norm_sqr ( ) const

Return the square of the \(l_2\) norm of the vector.

◆ linfty_norm()

template<typename Number >

real_type LinearAlgebra::distributed::BlockVector< Number >::linfty_norm ( ) const

Return the maximum norm of the vector (i.e., the maximum absolute value among all entries and among all processors).

◆ add_and_dot() [1/2]

template<typename Number >

Number LinearAlgebra::distributed::BlockVector< Number >::add_and_dot	(	const Number	a,
		const BlockVector< Number > &	V,
		const BlockVector< Number > &	W
	)

Perform a combined operation of a vector addition and a subsequent inner product, returning the value of the inner product. In other words, the result of this function is the same as if the user called

this->add(a, V);

return_value = *this * W;

LinearAlgebra::distributed::BlockVector::add

void add(const std::vector< size_type > &indices, const ::Vector< OtherNumber > &values)

The reason this function exists is that this operation involves less memory transfer than calling the two functions separately. This method only needs to load three vectors, this, V, W, whereas calling separate methods means to load the calling vector this twice. Since most vector operations are memory transfer limited, this reduces the time by 25% (or 50% if W equals this).

For complex-valued vectors, the scalar product in the second step is implemented as \(\left<v,w\right>=\sum_i v_i \bar{w_i}\).

◆ size()

template<typename Number >

virtual size_type LinearAlgebra::distributed::BlockVector< Number >::size ( ) const

overridevirtual

Return the global size of the vector, equal to the sum of the number of locally owned indices among all processors.

Reimplemented from BlockVectorBase< Vector< Number > >.

◆ locally_owned_elements()

template<typename Number >

::IndexSet LinearAlgebra::distributed::BlockVector< Number >::locally_owned_elements ( ) const

Return an index set that describes which elements of this vector are owned by the current processor. As a consequence, the index sets returned on different processors if this is a distributed vector will form disjoint sets that add up to the complete index set. Obviously, if a vector is created on only one processor, then the result would satisfy

vec.locally_owned_elements() == complete_index_set(vec.size())

complete_index_set

IndexSet complete_index_set(const IndexSet::size_type N)

Definition index_set.h:1204

◆ print()

template<typename Number >

void LinearAlgebra::distributed::BlockVector< Number >::print	(	std::ostream &	out,
		const unsigned int	precision = `3`,
		const bool	scientific = `true`,
		const bool	across = `true`
	)		const

Print the vector to the output stream out.

◆ memory_consumption()

template<typename Number >

std::size_t LinearAlgebra::distributed::BlockVector< Number >::memory_consumption ( ) const

Return the memory consumption of this class in bytes.

◆ collect_sizes()

void BlockVectorBase< Vector< Number > >::collect_sizes ( )

inherited

Update internal structures after resizing vectors. Whenever you reinited a block of a block vector, the internal data structures are corrupted. Therefore, you should call this function after all blocks got their new size.

◆ block() [1/2]

BlockType & BlockVectorBase< Vector< Number > >::block ( const unsigned int i )

inherited

Access to a single block.

◆ block() [2/2]

const BlockType & BlockVectorBase< Vector< Number > >::block ( const unsigned int i ) const

inherited

Read-only access to a single block.

◆ get_block_indices()

const BlockIndices & BlockVectorBase< Vector< Number > >::get_block_indices ( ) const

inherited

Return a reference on the object that describes the mapping between block and global indices. The use of this function is highly deprecated and it should vanish in one of the next versions

◆ n_blocks()

unsigned int BlockVectorBase< Vector< Number > >::n_blocks ( ) const

inherited

Number of blocks.

◆ locally_owned_size()

std::size_t BlockVectorBase< Vector< Number > >::locally_owned_size ( ) const

inherited

Return local dimension of the vector. This is the sum of the local dimensions (i.e., values stored on the current processor) of all components.

◆ begin() [1/2]

iterator BlockVectorBase< Vector< Number > >::begin ( )

inherited

Return an iterator pointing to the first element.

◆ begin() [2/2]

const_iterator BlockVectorBase< Vector< Number > >::begin ( ) const

inherited

Return an iterator pointing to the first element of a constant block vector.

◆ end() [1/2]

iterator BlockVectorBase< Vector< Number > >::end ( )

inherited

Return an iterator pointing to the element past the end.

◆ end() [2/2]

const_iterator BlockVectorBase< Vector< Number > >::end ( ) const

inherited

Return an iterator pointing to the element past the end of a constant block vector.

◆ operator()() [1/2]

value_type BlockVectorBase< Vector< Number > >::operator() ( const size_type i ) const

inherited

Access components, returns U(i).

◆ operator()() [2/2]

reference BlockVectorBase< Vector< Number > >::operator() ( const size_type i )

inherited

Access components, returns U(i) as a writeable reference.

◆ operator[]() [1/2]

value_type BlockVectorBase< Vector< Number > >::operator[] ( const size_type i ) const

inherited

Access components, returns U(i).

Exactly the same as operator().

◆ operator[]() [2/2]

reference BlockVectorBase< Vector< Number > >::operator[] ( const size_type i )

inherited

Access components, returns U(i) as a writeable reference.

Exactly the same as operator().

◆ extract_subvector_to() [1/4]

void BlockVectorBase< Vector< Number > >::extract_subvector_to	(	const std::vector< size_type > &	indices,
		std::vector< OtherNumber > &	values
	)		const

inherited

Instead of getting individual elements of a vector via operator(), this function allows getting a whole set of elements at once. The indices of the elements to be read are stated in the first argument, the corresponding values are returned in the second.

If the current vector is called v, then this function is the equivalent to the code

for (unsigned int i=0; i<indices.size(); ++i)

values[i] = v[indices[i]];

Precondition: The sizes of the indices and values arrays must be identical.

◆ extract_subvector_to() [2/4]

virtual void BlockVectorBase< Vector< Number > >::extract_subvector_to	(	const ArrayView< const types::global_dof_index > &	indices,
		const ArrayView< value_type > &	entries
	)		const

overridevirtualinherited

◆ extract_subvector_to() [3/4]

void BlockVectorBase< Vector< Number > >::extract_subvector_to	(	ForwardIterator	indices_begin,
		const ForwardIterator	indices_end,
		OutputIterator	values_begin
	)		const

inherited

Instead of getting individual elements of a vector via operator(), this function allows getting a whole set of elements at once. In contrast to the previous function, this function obtains the indices of the elements by dereferencing all elements of the iterator range provided by the first two arguments, and puts the vector values into memory locations obtained by dereferencing a range of iterators starting at the location pointed to by the third argument.

If the current vector is called v, then this function is the equivalent to the code

ForwardIterator indices_p = indices_begin;
OutputIterator  values_p  = values_begin;
while (indices_p != indices_end)
{
  *values_p = v[*indices_p];
  ++indices_p;
  ++values_p;
}

Precondition: It must be possible to write into as many memory locations starting at values_begin as there are iterators between indices_begin and indices_end.

◆ extract_subvector_to() [4/4]

virtual void ReadVector< VectorType::value_type >::extract_subvector_to	(	const ArrayView< const types::global_dof_index > &	indices,
		const ArrayView< VectorType::value_type > &	elements
	)		const

pure virtualinherited

Extract a subset of the vector specified by indices into the output array elements.

◆ operator==()

bool BlockVectorBase< Vector< Number > >::operator== ( const BlockVectorBase< VectorType2 > & v ) const

inherited

Check for equality of two block vector types. This operation is only allowed if the two vectors already have the same block structure.

◆ operator*() [2/2]

value_type BlockVectorBase< Vector< Number > >::operator* ( const BlockVectorBase< Vector< Number > > & V ) const

inherited

\(U = U * V\): scalar product.

◆ add_and_dot() [2/2]

value_type BlockVectorBase< Vector< Number > >::add_and_dot	(	const value_type	a,
		const BlockVectorBase< Vector< Number > > &	V,
		const BlockVectorBase< Vector< Number > > &	W
	)

inherited

Performs a combined operation of a vector addition and a subsequent inner product, returning the value of the inner product. In other words, the result of this function is the same as if the user called

this->add(a, V);

return_value = *this * W;

The reason this function exists is that this operation involves less memory transfer than calling the two functions separately on deal.II's vector classes (Vector<Number> and LinearAlgebra::distributed::Vector<double>). This method only needs to load three vectors, this, V, W, whereas calling separate methods means to load the calling vector this twice. Since most vector operations are memory transfer limited, this reduces the time by 25% (or 50% if W equals this).

For complex-valued vectors, the scalar product in the second step is implemented as \(\left<v,w\right>=\sum_i v_i \bar{w_i}\).

◆ in_local_range()

bool BlockVectorBase< Vector< Number > >::in_local_range ( const size_type global_index ) const

inherited

Return true if the given global index is in the local range of this processor. Asks the corresponding block.

◆ is_non_negative()

bool BlockVectorBase< Vector< Number > >::is_non_negative ( ) const

inherited

Return true if the vector has no negative entries, i.e. all entries are zero or positive. This function is used, for example, to check whether refinement indicators are really all positive (or zero).

◆ operator+=() [2/2]

BlockVectorBase & BlockVectorBase< Vector< Number > >::operator+= ( const BlockVectorBase< Vector< Number > > & V )

inherited

Addition operator. Fast equivalent to U.add(1, V).

◆ operator-=() [2/2]

BlockVectorBase & BlockVectorBase< Vector< Number > >::operator-= ( const BlockVectorBase< Vector< Number > > & V )

inherited

Subtraction operator. Fast equivalent to U.add(-1, V).

◆ add() [6/10]

void BlockVectorBase< Vector< Number > >::add	(	const std::vector< size_type > &	indices,
		const Vector< Number > &	values
	)

inherited

This is a second collective add operation. As a difference, this function takes a deal.II vector of values.

◆ add() [7/10]

void BlockVectorBase< Vector< Number > >::add	(	const size_type	n_elements,
		const size_type *	indices,
		const Number *	values
	)

inherited

Take an address where n_elements are stored contiguously and add them into the vector. Handles all cases which are not covered by the other two add() functions above.

◆ add() [8/10]

void BlockVectorBase< Vector< Number > >::add ( const value_type s )

inherited

\(U(0-DIM)+=s\). Addition of s to all components. Note that s is a scalar and not a vector.

◆ add() [9/10]

void BlockVectorBase< Vector< Number > >::add	(	const value_type	a,
		const BlockVectorBase< Vector< Number > > &	V
	)

inherited

U+=a*V. Simple addition of a scaled vector.

◆ add() [10/10]

void BlockVectorBase< Vector< Number > >::add	(	const value_type	a,
		const BlockVectorBase< Vector< Number > > &	V,
		const value_type	b,
		const BlockVectorBase< Vector< Number > > &	W
	)

inherited

U+=a*V+b*W. Multiple addition of scaled vectors.

◆ sadd() [3/6]

void BlockVectorBase< Vector< Number > >::sadd	(	const value_type	s,
		const BlockVectorBase< Vector< Number > > &	V
	)

inherited

U=s*U+V. Scaling and simple vector addition.

◆ sadd() [4/6]

void BlockVectorBase< Vector< Number > >::sadd	(	const value_type	s,
		const value_type	a,
		const BlockVectorBase< Vector< Number > > &	V
	)

inherited

U=s*U+a*V. Scaling and simple addition.

◆ sadd() [5/6]

void BlockVectorBase< Vector< Number > >::sadd	(	const value_type	s,
		const value_type	a,
		const BlockVectorBase< Vector< Number > > &	V,
		const value_type	b,
		const BlockVectorBase< Vector< Number > > &	W
	)

inherited

U=s*U+a*V+b*W. Scaling and multiple addition.

◆ sadd() [6/6]

void BlockVectorBase< Vector< Number > >::sadd	(	const value_type	s,
		const value_type	a,
		const BlockVectorBase< Vector< Number > > &	V,
		const value_type	b,
		const BlockVectorBase< Vector< Number > > &	W,
		const value_type	c,
		const BlockVectorBase< Vector< Number > > &	X
	)

inherited

U=s*U+a*V+b*W+c*X. Scaling and multiple addition.

◆ operator*=() [2/2]

BlockVectorBase & BlockVectorBase< Vector< Number > >::operator*= ( const value_type factor )

inherited

Scale each element of the vector by a constant value.

◆ operator/=() [2/2]

BlockVectorBase & BlockVectorBase< Vector< Number > >::operator/= ( const value_type factor )

inherited

Scale each element of the vector by the inverse of the given value.

◆ scale() [2/2]

void BlockVectorBase< Vector< Number > >::scale ( const BlockVector2 & v )

inherited

Multiply each element of this vector by the corresponding element of v.

◆ equ() [2/2]

void BlockVectorBase< Vector< Number > >::equ	(	const value_type	a,
		const BlockVector2 &	V
	)

inherited

U=a*V. Assignment.

◆ get_mpi_communicator()

MPI_Comm BlockVectorBase< Vector< Number > >::get_mpi_communicator ( ) const

inherited

This function returns the MPI communicator of the vector in the underlying blocks or, if the vector has not been initialized, the empty MPI_COMM_SELF.

◆ subscribe()

void EnableObserverPointer::subscribe	(	std::atomic< bool > *const	validity,
		const std::string &	identifier = `""`
	)		const

inherited

Subscribes a user of the object by storing the pointer validity. The subscriber may be identified by text supplied as identifier.

Definition at line 131 of file enable_observer_pointer.cc.

◆ unsubscribe()

void EnableObserverPointer::unsubscribe	(	std::atomic< bool > *const	validity,
		const std::string &	identifier = `""`
	)		const

inherited

Unsubscribes a user from the object.

Note: The identifier and the validity pointer must be the same as the one supplied to subscribe().

Definition at line 151 of file enable_observer_pointer.cc.

◆ n_subscriptions()

unsigned int EnableObserverPointer::n_subscriptions ( ) const

inlineinherited

Return the present number of subscriptions to this object. This allows to use this class for reference counted lifetime determination where the last one to unsubscribe also deletes the object.

Definition at line 322 of file enable_observer_pointer.h.

◆ list_subscribers() [1/2]

template<typename StreamType >

void EnableObserverPointer::list_subscribers ( StreamType & stream ) const

inlineinherited

List the subscribers to the input stream.

Definition at line 339 of file enable_observer_pointer.h.

◆ list_subscribers() [2/2]

void EnableObserverPointer::list_subscribers ( ) const

inherited

List the subscribers to deallog.

Definition at line 199 of file enable_observer_pointer.cc.

◆ serialize()

template<class Archive >

void EnableObserverPointer::serialize	(	Archive &	ar,
		const unsigned int	version
	)

inlineinherited

Read or write the data of this object to or from a stream for the purpose of serialization using the BOOST serialization library.

This function does not actually serialize any of the member variables of this class. The reason is that what this class stores is only who subscribes to this object, but who does so at the time of storing the contents of this object does not necessarily have anything to do with who subscribes to the object when it is restored. Consequently, we do not want to overwrite the subscribers at the time of restoring, and then there is no reason to write the subscribers out in the first place.

Definition at line 331 of file enable_observer_pointer.h.

◆ check_no_subscribers()

void EnableObserverPointer::check_no_subscribers ( ) const

privatenoexceptinherited

Check that there are no objects subscribing to this object. If this check passes then it is safe to destroy the current object. It this check fails then this function will either abort or print an error message to deallog (by using the AssertNothrow mechanism), but will not throw an exception.

Note: Since this function is just a consistency check it does nothing in release mode.; If this function is called when there is an uncaught exception then, rather than aborting, this function prints an error message to the standard error stream and returns.

Definition at line 53 of file enable_observer_pointer.cc.

Member Data Documentation

◆ communication_block_size

template<typename Number >

constexpr unsigned int LinearAlgebra::distributed::BlockVector< Number >::communication_block_size = 20

staticconstexpr

The chunks size to split communication in update_ghost_values() and compress() calls.

Most common MPI implementations will get slow when too many messages/requests are outstanding. Even when messages are small, say 1 kB only, we should collect enough data with communication_block_size to cover typical infiniband latencies which are around a few microseconds. Sending 20 kB at a throughput of 5 GB/s takes 4 microseconds, so we should arrive at the bandwidth dominated regime then which is good enough.

Definition at line 99 of file la_parallel_block_vector.h.

◆ components

std::vector<Vector< Number > > BlockVectorBase< Vector< Number > >::components

protectedinherited

Pointer to the array of components.

Definition at line 969 of file block_vector_base.h.

◆ block_indices

BlockIndices BlockVectorBase< Vector< Number > >::block_indices

protectedinherited

Object managing the transformation between global indices and indices within the different blocks.

Definition at line 975 of file block_vector_base.h.

◆ counter

std::atomic<unsigned int> EnableObserverPointer::counter

mutableprivateinherited

Store the number of objects which subscribed to this object. Initially, this number is zero, and upon destruction it shall be zero again (i.e. all objects which subscribed should have unsubscribed again).

The creator (and owner) of an object is counted in the map below if HE manages to supply identification.

We use the mutable keyword in order to allow subscription to constant objects also.

This counter may be read from and written to concurrently in multithreaded code: hence we use the std::atomic class template.

Definition at line 227 of file enable_observer_pointer.h.

◆ counter_map

std::map<std::string, unsigned int> EnableObserverPointer::counter_map

mutableprivateinherited

In this map, we count subscriptions for each different identification string supplied to subscribe().

Definition at line 233 of file enable_observer_pointer.h.

◆ validity_pointers

std::vector<std::atomic<bool> *> EnableObserverPointer::validity_pointers

mutableprivateinherited

In this vector, we store pointers to the validity bool in the ObserverPointer objects that subscribe to this class.

Definition at line 249 of file enable_observer_pointer.h.

◆ object_info

const std::type_info* EnableObserverPointer::object_info

mutableprivateinherited

Pointer to the typeinfo object of this object, from which we can later deduce the class name. Since this information on the derived class is neither available in the destructor, nor in the constructor, we obtain it in between and store it here.

Definition at line 257 of file enable_observer_pointer.h.

◆ mutex

std::mutex EnableObserverPointer::mutex

staticprivateinherited

A mutex used to ensure data consistency when accessing the mutable members of this class. This lock is used in the subscribe() and unsubscribe() functions, as well as in list_subscribers().

Definition at line 280 of file enable_observer_pointer.h.

The documentation for this class was generated from the following files:

include/deal.II/base/template_constraints.h
include/deal.II/lac/la_parallel_block_vector.h

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Attributes

Private Types

Private Member Functions

Private Attributes

Static Private Attributes

Detailed Description

Member Typedef Documentation

◆ BaseClass

◆ BlockType

◆ value_type

◆ real_type

◆ pointer

◆ const_pointer

◆ reference

◆ const_reference

◆ size_type

◆ iterator

◆ const_iterator

◆ map_value_type

◆ map_iterator

Constructor & Destructor Documentation

◆ BlockVector() [1/7]

◆ BlockVector() [2/7]

◆ BlockVector() [3/7]

◆ BlockVector() [4/7]

◆ BlockVector() [5/7]

◆ BlockVector() [6/7]

◆ BlockVector() [7/7]

◆ ~BlockVector()

Member Function Documentation

◆ operator=() [1/6]

◆ operator=() [2/6]

◆ operator=() [3/6]

◆ operator=() [4/6]

◆ operator=() [5/6]

◆ operator=() [6/6]

◆ reinit() [1/7]

◆ reinit() [2/7]

◆ reinit() [3/7]

◆ reinit() [4/7]

◆ reinit() [5/7]

◆ reinit() [6/7]

◆ reinit() [7/7]

◆ compress()

◆ update_ghost_values()

◆ zero_out_ghost_values()

◆ has_ghost_elements()

◆ set_ghost_state()

◆ copy_locally_owned_data_from()

◆ add() [1/10]

◆ sadd() [1/6]

◆ all_zero()

◆ mean_value()

◆ lp_norm()

◆ swap()

◆ operator*=() [1/2]

◆ operator/=() [1/2]

◆ operator+=() [1/2]

◆ operator-=() [1/2]

◆ import_elements()

◆ import()

◆ operator*() [1/2]

◆ multivector_inner_product()

◆ multivector_inner_product_with_metric()

◆ mmult()

◆ add() [2/10]

◆ add() [3/10]

◆ add() [4/10]

◆ add() [5/10]

◆ sadd() [2/6]

◆ scale() [1/2]

◆ equ() [1/2]

◆ l1_norm()

◆ l2_norm()

◆ norm_sqr()

◆ linfty_norm()