Reference documentation for deal.II version 9.1.1
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#include <deal.II/lac/block_sparsity_pattern.h>
Public Types | |
using | size_type = types::global_dof_index |
Public Member Functions | |
BlockSparsityPatternBase () | |
BlockSparsityPatternBase (const size_type n_block_rows, const size_type n_block_columns) | |
BlockSparsityPatternBase (const BlockSparsityPatternBase &bsp) | |
~BlockSparsityPatternBase () override | |
void | reinit (const size_type n_block_rows, const size_type n_block_columns) |
BlockSparsityPatternBase & | operator= (const BlockSparsityPatternBase &) |
void | collect_sizes () |
SparsityPatternType & | block (const size_type row, const size_type column) |
const SparsityPatternType & | 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) |
template<typename ForwardIterator > | |
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 |
Public Member Functions inherited from Subscriptor | |
Subscriptor () | |
Subscriptor (const Subscriptor &) | |
Subscriptor (Subscriptor &&) noexcept | |
virtual | ~Subscriptor () |
Subscriptor & | operator= (const Subscriptor &) |
Subscriptor & | operator= (Subscriptor &&) noexcept |
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) |
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 Member Functions inherited from Subscriptor | |
static ::ExceptionBase & | ExcInUse (int arg1, std::string arg2, std::string arg3) |
static ::ExceptionBase & | ExcNoSubscriber (std::string arg1, std::string arg2) |
Static Public Attributes | |
static const size_type | invalid_entry = SparsityPattern::invalid_entry |
Protected Attributes | |
size_type | rows |
size_type | columns |
Table< 2, SmartPointer< SparsityPatternType, BlockSparsityPatternBase< SparsityPatternType > > > | 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 |
Friends | |
template<typename number > | |
class | BlockSparseMatrix |
This is the base class for block versions of the sparsity pattern and dynamic sparsity pattern classes. It has not much functionality, but only administrates an array of sparsity pattern objects and delegates work to them. It has mostly the same interface as has the SparsityPattern, and DynamicSparsityPattern, and simply transforms calls to its member functions to calls to the respective member functions of the member sparsity patterns.
The largest difference between the SparsityPattern and DynamicSparsityPattern classes and this class is that mostly, the matrices have different properties and you will want to work on the blocks making up the matrix rather than the whole matrix. You can access the different blocks using the block(row,col)
function.
Attention: this object is not automatically notified if the size of one of its subobjects' size is changed. After you initialize the sizes of the subobjects, you will therefore have to call the collect_sizes()
function of this class! Note that, of course, all sub-matrices in a (block-)row have to have the same number of rows, and that all sub-matrices in a (block-)column have to have the same number of columns.
You will in general not want to use this class, but one of the derived classes.
Definition at line 1867 of file affine_constraints.h.
using BlockSparsityPatternBase< SparsityPatternType >::size_type = types::global_dof_index |
Declare type for container size.
Definition at line 83 of file block_sparsity_pattern.h.
BlockSparsityPatternBase< SparsityPatternBase >::BlockSparsityPatternBase | ( | ) |
Initialize the matrix empty, that is with no memory allocated. This is useful if you want such objects as member variables in other classes. You can make the structure usable by calling the reinit() function.
Definition at line 25 of file block_sparsity_pattern.cc.
BlockSparsityPatternBase< SparsityPatternBase >::BlockSparsityPatternBase | ( | const size_type | n_block_rows, |
const size_type | n_block_columns | ||
) |
Initialize the matrix with the given number of block rows and columns. The blocks themselves are still empty, and you have to call collect_sizes() after you assign them sizes.
Definition at line 33 of file block_sparsity_pattern.cc.
BlockSparsityPatternBase< SparsityPatternBase >::BlockSparsityPatternBase | ( | const BlockSparsityPatternBase< SparsityPatternType > & | bsp | ) |
Copy constructor. This constructor is only allowed to be called if the sparsity pattern to be copied is empty, i.e. there are no block allocated at present. This is for the same reason as for the SparsityPattern, see there for the details.
Definition at line 45 of file block_sparsity_pattern.cc.
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override |
Destructor.
Definition at line 62 of file block_sparsity_pattern.cc.
void BlockSparsityPatternBase< SparsityPatternBase >::reinit | ( | const size_type | n_block_rows, |
const size_type | n_block_columns | ||
) |
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 she desires.
Definition at line 77 of file block_sparsity_pattern.cc.
BlockSparsityPatternBase< SparsityPatternBase > & BlockSparsityPatternBase< SparsityPatternBase >::operator= | ( | const BlockSparsityPatternBase< SparsityPatternType > & | ) |
Copy operator. For this the same holds as for the copy constructor: it is declared, defined and fine to be called, but the latter only for empty objects.
Definition at line 111 of file block_sparsity_pattern.cc.
void BlockSparsityPatternBase< SparsityPatternBase >::collect_sizes | ( | ) |
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 129 of file block_sparsity_pattern.cc.
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inline |
Access the block with the given coordinates.
Definition at line 767 of file block_sparsity_pattern.h.
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inline |
Access the block with the given coordinates. Version for constant objects.
Definition at line 779 of file block_sparsity_pattern.h.
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inline |
Grant access to the object describing the distribution of row indices to the individual blocks.
Definition at line 792 of file block_sparsity_pattern.h.
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Grant access to the object describing the distribution of column indices to the individual blocks.
Definition at line 801 of file block_sparsity_pattern.h.
void BlockSparsityPatternBase< SparsityPatternBase >::compress | ( | ) |
This function compresses the sparsity structures that this object represents. It simply calls compress
for all sub-objects.
Definition at line 168 of file block_sparsity_pattern.cc.
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inline |
Return the number of blocks in a column.
Definition at line 962 of file block_sparsity_pattern.h.
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Return the number of blocks in a row.
Definition at line 953 of file block_sparsity_pattern.h.
bool BlockSparsityPatternBase< SparsityPatternBase >::empty | ( | ) | const |
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 179 of file block_sparsity_pattern.cc.
BlockSparsityPatternBase< SparsityPatternBase >::size_type BlockSparsityPatternBase< SparsityPatternBase >::max_entries_per_row | ( | ) | const |
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 192 of file block_sparsity_pattern.cc.
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inline |
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 810 of file block_sparsity_pattern.h.
void BlockSparsityPatternBase< SparsityPatternType >::add_entries | ( | const size_type | row, |
ForwardIterator | begin, | ||
ForwardIterator | end, | ||
const bool | indices_are_sorted = false |
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) |
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 829 of file block_sparsity_pattern.h.
BlockSparsityPatternBase< SparsityPatternBase >::size_type BlockSparsityPatternBase< SparsityPatternBase >::n_rows | ( | ) | const |
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 211 of file block_sparsity_pattern.cc.
BlockSparsityPatternBase< SparsityPatternBase >::size_type BlockSparsityPatternBase< SparsityPatternBase >::n_cols | ( | ) | const |
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 225 of file block_sparsity_pattern.cc.
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inline |
Check if a value at a certain position may be non-zero.
Definition at line 917 of file block_sparsity_pattern.h.
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inline |
Number of entries in a specific row, added up over all the blocks that form this row.
Definition at line 935 of file block_sparsity_pattern.h.
BlockSparsityPatternBase< SparsityPatternBase >::size_type BlockSparsityPatternBase< SparsityPatternBase >::n_nonzero_elements | ( | ) | const |
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 239 of file block_sparsity_pattern.cc.
void BlockSparsityPatternBase< SparsityPatternBase >::print | ( | std::ostream & | out | ) | const |
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 252 of file block_sparsity_pattern.cc.
void BlockSparsityPatternBase< SparsityPatternBase >::print_gnuplot | ( | std::ostream & | out | ) | const |
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 SparsityPattern.
Definition at line 306 of file block_sparsity_pattern.cc.
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friend |
Make the block sparse matrix a friend, so that it can use our row_indices and column_indices objects.
Typedef for the type used to describe sparse matrices that consist of multiple blocks.
Definition at line 385 of file block_sparsity_pattern.h.
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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 93 of file block_sparsity_pattern.h.
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Number of block rows.
Definition at line 340 of file block_sparsity_pattern.h.
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Number of block columns.
Definition at line 345 of file block_sparsity_pattern.h.
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Array of sparsity patterns.
Definition at line 353 of file block_sparsity_pattern.h.
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Object storing and managing the transformation of row indices to indices of the sub-objects.
Definition at line 359 of file block_sparsity_pattern.h.
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Object storing and managing the transformation of column indices to indices of the sub-objects.
Definition at line 365 of file block_sparsity_pattern.h.
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private |
Temporary vector for counting the elements written into the individual blocks when doing a collective add or set.
Definition at line 372 of file block_sparsity_pattern.h.
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Temporary vector for column indices on each block when writing local to global data on each sparse matrix.
Definition at line 378 of file block_sparsity_pattern.h.