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

Inheritance diagram for BlockDynamicSparsityPattern:

Public Types
using	size_type = types::global_dof_index

Public Member Functions
	BlockDynamicSparsityPattern ()=default

	BlockDynamicSparsityPattern (const size_type n_rows, const size_type n_columns)

	BlockDynamicSparsityPattern (const std::vector< size_type > &row_block_sizes, const std::vector< size_type > &col_block_sizes)

	BlockDynamicSparsityPattern (const std::vector< IndexSet > &partitioning)

	BlockDynamicSparsityPattern (const BlockIndices &row_indices, const BlockIndices &col_indices)

void	reinit (const std::vector< size_type > &row_block_sizes, const std::vector< size_type > &col_block_sizes)

void	reinit (const std::vector< IndexSet > &partitioning)

void	reinit (const BlockIndices &row_indices, const BlockIndices &col_indices)

size_type	column_number (const size_type row, const unsigned int index) const

void	reinit (const size_type n_block_rows, const size_type n_block_columns)

void	collect_sizes ()

DynamicSparsityPattern &	block (const size_type row, const size_type column)

const DynamicSparsityPattern &	block (const size_type row, const size_type column) const

const BlockIndices &	get_row_indices () const

const BlockIndices &	get_column_indices () const

void	compress ()

size_type	n_block_rows () const

size_type	n_block_cols () const

bool	empty () const

size_type	max_entries_per_row () const

void	add (const size_type i, const size_type j)

void	add_entries (const size_type row, ForwardIterator begin, ForwardIterator end, const bool indices_are_sorted=false)

size_type	n_rows () const

size_type	n_cols () const

bool	exists (const size_type i, const size_type j) const

unsigned int	row_length (const size_type row) const

size_type	n_nonzero_elements () const

void	print (std::ostream &out) const

void	print_gnuplot (std::ostream &out) const

void	print_svg (std::ostream &out) const

Static Public Member Functions
static ::ExceptionBase &	ExcIncompatibleRowNumbers (int arg1, int arg2, int arg3, int arg4)

static ::ExceptionBase &	ExcIncompatibleColNumbers (int arg1, int arg2, int arg3, int arg4)

Static Public Attributes
static const size_type	invalid_entry

Protected Attributes
size_type	rows

size_type	columns

Table< 2, SmartPointer< DynamicSparsityPattern, BlockSparsityPatternBase< DynamicSparsityPattern > > >	sub_objects

BlockIndices	row_indices

BlockIndices	column_indices

Private Attributes
std::vector< size_type >	counter_within_block

std::vector< std::vector< size_type > >	block_column_indices

Subscriptor functionality
Classes derived from Subscriptor provide a facility to subscribe to this object. This is mostly used by the SmartPointer 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

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

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

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

using	map_value_type = decltype(counter_map)::value_type

using	map_iterator = decltype(counter_map)::iterator

static std::mutex	mutex

void	check_no_subscribers () const noexcept

Detailed Description

This class extends the base class to implement an array of compressed sparsity patterns that can be used to initialize objects of type BlockSparsityPattern. It does not add additional member functions, but rather acts as an alias to introduce the name of this class, without requiring the user to specify the templated name of the base class. For information on the interface of this class refer to the base class. The individual blocks are based on the DynamicSparsityPattern class.

This class is an example of the "dynamic" type of Sparsity.

Example

Usage of this class is very similar to DynamicSparsityPattern, but since the use of block indices causes some additional complications, we give a short example.

After the DoFHandler dof and the AffineConstraints constraints have been set up with a system element, we must count the degrees of freedom in each matrix block:

const std::vector<unsigned int> dofs_per_block =

DoFTools::count_dofs_per_fe_block(dof);

DoFTools::count_dofs_per_fe_block

std::vector< types::global_dof_index > count_dofs_per_fe_block(const DoFHandler< dim, spacedim > &dof, const std::vector< unsigned int > &target_block=std::vector< unsigned int >())

Definition: dof_tools.cc:2047

Now, we are ready to set up the BlockDynamicSparsityPattern.

BlockDynamicSparsityPattern dsp(fe.n_blocks(), fe.n_blocks());
for (unsigned int i = 0; i < fe.n_blocks(); ++i)
  for (unsigned int j = 0; j < fe.n_blocks(); ++j)
    dsp.block(i, j).reinit(dofs_per_block[i], dofs_per_block[j]);
dsp.collect_sizes();

It is filled as if it were a normal pattern

DoFTools::make_sparsity_pattern(dof, dsp);

constraints.condense(dsp);

DoFTools::make_sparsity_pattern

void make_sparsity_pattern(const DoFHandler< dim, spacedim > &dof_handler, SparsityPatternType &sparsity_pattern, const AffineConstraints< number > &constraints=AffineConstraints< number >(), const bool keep_constrained_dofs=true, const types::subdomain_id subdomain_id=numbers::invalid_subdomain_id)

Definition: dof_tools_sparsity.cc:64

In the end, it is copied to a normal BlockSparsityPattern for later use.

BlockSparsityPattern sparsity;

sparsity.copy_from(dsp);

BlockSparsityPattern

Definition: block_sparsity_pattern.h:407

BlockSparsityPattern::copy_from

void copy_from(const BlockDynamicSparsityPattern &dsp)

Definition: block_sparsity_pattern.cc:449

Definition at line 524 of file block_sparsity_pattern.h.

Member Typedef Documentation

◆ size_type

using BlockSparsityPatternBase< DynamicSparsityPattern >::size_type = types::global_dof_index

inherited

Declare type for container size.

Definition at line 84 of file block_sparsity_pattern.h.

Member Function Documentation

◆ reinit()

void BlockSparsityPatternBase< SparsityPatternBase >::reinit	(	const size_type	n_block_rows,
		const size_type	n_block_columns
	)

inherited

Resize the matrix, by setting the number of block rows and columns. This deletes all blocks and replaces them with uninitialized ones, i.e. ones for which also the sizes are not yet set. You have to do that by calling the reinit() functions of the blocks themselves. Do not forget to call collect_sizes() after that on this object.

The reason that you have to set sizes of the blocks yourself is that the sizes may be varying, the maximum number of elements per row may be varying, etc. It is simpler not to reproduce the interface of the SparsityPattern class here but rather let the user call whatever function they desire.

Definition at line 138 of file block_sparsity_pattern.cc.

◆ collect_sizes()

void BlockSparsityPatternBase< SparsityPatternBase >::collect_sizes

inherited

This function collects the sizes of the sub-objects and stores them in internal arrays, in order to be able to relay global indices into the matrix to indices into the subobjects. You must call this function each time after you have changed the size of the sub-objects.

Definition at line 155 of file block_sparsity_pattern.cc.

◆ block() [1/2]

DynamicSparsityPattern & BlockSparsityPatternBase< DynamicSparsityPattern >::block	(	const size_type	row,
		const size_type	column
	)

inlineinherited

Access the block with the given coordinates.

Definition at line 161 of file block_sparsity_pattern.h.

◆ block() [2/2]

const DynamicSparsityPattern & BlockSparsityPatternBase< DynamicSparsityPattern >::block	(	const size_type	row,
		const size_type	column
	)		const

inlineinherited

Access the block with the given coordinates. Version for constant objects.

Definition at line 169 of file block_sparsity_pattern.h.

◆ get_row_indices()

const BlockIndices & BlockSparsityPatternBase< DynamicSparsityPattern >::get_row_indices

inlineinherited

Grant access to the object describing the distribution of row indices to the individual blocks.

Definition at line 176 of file block_sparsity_pattern.h.

◆ get_column_indices()

const BlockIndices & BlockSparsityPatternBase< DynamicSparsityPattern >::get_column_indices

inlineinherited

Grant access to the object describing the distribution of column indices to the individual blocks.

Definition at line 183 of file block_sparsity_pattern.h.

◆ compress()

void BlockSparsityPatternBase< SparsityPatternBase >::compress

inherited

This function compresses the sparsity structures that this object represents. It simply calls compress for all sub-objects.

Definition at line 190 of file block_sparsity_pattern.cc.

◆ n_block_rows()

BlockSparsityPatternBase< DynamicSparsityPattern >::size_type BlockSparsityPatternBase< DynamicSparsityPattern >::n_block_rows

inlineinherited

Return the number of blocks in a column.

Definition at line 196 of file block_sparsity_pattern.h.

◆ n_block_cols()

BlockSparsityPatternBase< DynamicSparsityPattern >::size_type BlockSparsityPatternBase< DynamicSparsityPattern >::n_block_cols

inlineinherited

Return the number of blocks in a row.

Definition at line 202 of file block_sparsity_pattern.h.

◆ empty()

bool BlockSparsityPatternBase< SparsityPatternBase >::empty

inherited

Return whether the object is empty. It is empty if no memory is allocated, which is the same as that both dimensions are zero. This function is just the concatenation of the respective call to all sub- matrices.

Definition at line 211 of file block_sparsity_pattern.cc.

◆ max_entries_per_row()

BlockSparsityPatternBase< SparsityPatternBase >::size_type BlockSparsityPatternBase< SparsityPatternBase >::max_entries_per_row

inherited

Return the maximum number of entries per row. It returns the maximal number of entries per row accumulated over all blocks in a row, and the maximum over all rows.

Definition at line 219 of file block_sparsity_pattern.cc.

◆ add()

void BlockSparsityPatternBase< DynamicSparsityPattern >::add	(	const size_type	i,
		const size_type	j
	)

inlineinherited

Add a nonzero entry to the matrix. This function may only be called for non-compressed sparsity patterns.

If the entry already exists, nothing bad happens.

This function simply finds out to which block (i,j) belongs and then relays to that block.

Definition at line 231 of file block_sparsity_pattern.h.

◆ add_entries()

void BlockSparsityPatternBase< DynamicSparsityPattern >::add_entries	(	const size_type	row,
		ForwardIterator	begin,
		ForwardIterator	end,
		const bool	indices_are_sorted = `false`
	)

inherited

Add several nonzero entries to the specified matrix row. This function may only be called for non-compressed sparsity patterns.

If some of the entries already exist, nothing bad happens.

This function simply finds out to which blocks (row,col) for col in the iterator range belong and then relays to those blocks.

Definition at line 245 of file block_sparsity_pattern.h.

◆ n_rows()

BlockSparsityPatternBase< SparsityPatternBase >::size_type BlockSparsityPatternBase< SparsityPatternBase >::n_rows

inherited

Return number of rows of this matrix, which equals the dimension of the image space. It is the sum of rows of the (block-)rows of sub-matrices.

Definition at line 255 of file block_sparsity_pattern.cc.

◆ n_cols()

BlockSparsityPatternBase< SparsityPatternBase >::size_type BlockSparsityPatternBase< SparsityPatternBase >::n_cols

inherited

Return number of columns of this matrix, which equals the dimension of the range space. It is the sum of columns of the (block-)columns of sub- matrices.

Definition at line 263 of file block_sparsity_pattern.cc.

◆ exists()

bool BlockSparsityPatternBase< DynamicSparsityPattern >::exists	(	const size_type	i,
		const size_type	j
	)		const

inlineinherited

Check if a value at a certain position may be non-zero.

Definition at line 269 of file block_sparsity_pattern.h.

◆ row_length()

unsigned int BlockSparsityPatternBase< DynamicSparsityPattern >::row_length ( const size_type row ) const

inlineinherited

Number of entries in a specific row, added up over all the blocks that form this row.

Definition at line 276 of file block_sparsity_pattern.h.

◆ n_nonzero_elements()

BlockSparsityPatternBase< SparsityPatternBase >::size_type BlockSparsityPatternBase< SparsityPatternBase >::n_nonzero_elements

inherited

Return the number of nonzero elements of this matrix. Actually, it returns the number of entries in the sparsity pattern; if any of the entries should happen to be zero, it is counted anyway.

This function may only be called if the matrix struct is compressed. It does not make too much sense otherwise anyway.

In the present context, it is the sum of the values as returned by the sub-objects.

Definition at line 290 of file block_sparsity_pattern.cc.

◆ print()

void BlockSparsityPatternBase< SparsityPatternBase >::print ( std::ostream & out ) const

inherited

Print the sparsity of the matrix. The output consists of one line per row of the format [i,j1,j2,j3,...]. i is the row number and jn are the allocated columns in this row.

Definition at line 298 of file block_sparsity_pattern.cc.

◆ print_gnuplot()

void BlockSparsityPatternBase< SparsityPatternBase >::print_gnuplot ( std::ostream & out ) const

inherited

Print the sparsity of the matrix in a format that gnuplot understands and which can be used to plot the sparsity pattern in a graphical way. This is the same functionality implemented for usual sparsity patterns, see SparsityPatternBase::print_gnuplot().

Definition at line 308 of file block_sparsity_pattern.cc.

◆ print_svg()

void BlockSparsityPatternBase< SparsityPatternBase >::print_svg ( std::ostream & out ) const

inherited

Print the sparsity of the matrix in svg format. This is the same functionality implemented for usual sparsity patterns, see SparsityPatternBase::print_svg().

Definition at line 316 of file block_sparsity_pattern.cc.

◆ ExcIncompatibleRowNumbers()

static ::ExceptionBase & BlockSparsityPatternBase< DynamicSparsityPattern >::ExcIncompatibleRowNumbers	(	int	arg1,
		int	arg2,
		int	arg3,
		int	arg4
	)

staticinherited

Exception

Note: The message that will be printed by this exception reads:
<< "The blocks [" << arg1 << ',' << arg2 << "] and [" << arg3 << ',' << arg4 << "] have differing row numbers."

◆ ExcIncompatibleColNumbers()

static ::ExceptionBase & BlockSparsityPatternBase< DynamicSparsityPattern >::ExcIncompatibleColNumbers	(	int	arg1,
		int	arg2,
		int	arg3,
		int	arg4
	)

staticinherited

Exception

Note: The message that will be printed by this exception reads:
<< "The blocks [" << arg1 << ',' << arg2 << "] and [" << arg3 << ',' << arg4 << "] have differing column numbers."

Member Data Documentation

◆ invalid_entry

const size_type BlockSparsityPatternBase< DynamicSparsityPattern >::invalid_entry

staticinherited

Define a value which is used to indicate that a certain value in the colnums array is unused, i.e. does not represent a certain column number index.

This value is only an alias to the respective value of the SparsityPattern class.

Definition at line 94 of file block_sparsity_pattern.h.

◆ rows

size_type BlockSparsityPatternBase< DynamicSparsityPattern >::rows

protectedinherited

Number of block rows.

Definition at line 349 of file block_sparsity_pattern.h.

◆ columns

size_type BlockSparsityPatternBase< DynamicSparsityPattern >::columns

protectedinherited

Number of block columns.

Definition at line 354 of file block_sparsity_pattern.h.

◆ sub_objects

Table<2, SmartPointer<DynamicSparsityPattern , BlockSparsityPatternBase<DynamicSparsityPattern > > > BlockSparsityPatternBase< DynamicSparsityPattern >::sub_objects

protectedinherited

Array of sparsity patterns.

Definition at line 362 of file block_sparsity_pattern.h.

◆ row_indices

BlockIndices BlockSparsityPatternBase< DynamicSparsityPattern >::row_indices

protectedinherited

Object storing and managing the transformation of row indices to indices of the sub-objects.

Definition at line 368 of file block_sparsity_pattern.h.

◆ column_indices

BlockIndices BlockSparsityPatternBase< DynamicSparsityPattern >::column_indices

protectedinherited

Object storing and managing the transformation of column indices to indices of the sub-objects.

Definition at line 374 of file block_sparsity_pattern.h.

◆ counter_within_block

std::vector<size_type> BlockSparsityPatternBase< DynamicSparsityPattern >::counter_within_block

privateinherited

Temporary vector for counting the elements written into the individual blocks when doing a collective add or set.

Definition at line 381 of file block_sparsity_pattern.h.

◆ block_column_indices

std::vector<std::vector<size_type> > BlockSparsityPatternBase< DynamicSparsityPattern >::block_column_indices

privateinherited

Temporary vector for column indices on each block when writing local to global data on each sparse matrix.

Definition at line 387 of file block_sparsity_pattern.h.

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

include/deal.II/lac/block_sparsity_pattern.h
source/lac/block_sparsity_pattern.cc

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Attributes

Private Attributes

Subscriptor functionality

Detailed Description

Example

Member Typedef Documentation

◆ size_type

Member Function Documentation

◆ reinit()

◆ collect_sizes()

◆ block() [1/2]

◆ block() [2/2]

◆ get_row_indices()

◆ get_column_indices()

◆ compress()

◆ n_block_rows()

◆ n_block_cols()

◆ empty()

◆ max_entries_per_row()

◆ add()

◆ add_entries()

◆ n_rows()

◆ n_cols()

◆ exists()

◆ row_length()

◆ n_nonzero_elements()

◆ print()

◆ print_gnuplot()

◆ print_svg()

◆ ExcIncompatibleRowNumbers()

◆ ExcIncompatibleColNumbers()

Member Data Documentation

◆ invalid_entry

◆ rows

◆ columns

◆ sub_objects

◆ row_indices

◆ column_indices

◆ counter_within_block

◆ block_column_indices