Reference documentation for deal.II version 9.3.3
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Classes | Public Types | Public Member Functions | Static Public Member Functions | Protected Types | Protected Member Functions | Static Protected Member Functions | Protected Attributes | Private Types | Private Attributes | List of all members
PreconditionBlock< MatrixType, inverse_type > Class Template Reference

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

Inheritance diagram for PreconditionBlock< MatrixType, inverse_type >:
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Classes

class  AdditionalData
 

Public Types

using size_type = types::global_dof_index
 

Public Member Functions

 PreconditionBlock (bool store_diagonals=false)
 
 ~PreconditionBlock () override=default
 
void initialize (const MatrixType &A, const AdditionalData parameters)
 
void clear ()
 
bool empty () const
 
value_type el (size_type i, size_type j) const
 
void invert_diagblocks ()
 
template<typename number2 >
void forward_step (Vector< number2 > &dst, const Vector< number2 > &prev, const Vector< number2 > &src, const bool transpose_diagonal) const
 
template<typename number2 >
void backward_step (Vector< number2 > &dst, const Vector< number2 > &prev, const Vector< number2 > &src, const bool transpose_diagonal) const
 
size_type block_size () const
 
std::size_t memory_consumption () const
 

Static Public Member Functions

static ::ExceptionBaseExcWrongBlockSize (int arg1, int arg2)
 
static ::ExceptionBaseExcInverseMatricesAlreadyExist ()
 

Protected Types

enum  Inversion
 

Protected Member Functions

void initialize (const MatrixType &A, const std::vector< size_type > &permutation, const std::vector< size_type > &inverse_permutation, const AdditionalData parameters)
 
void set_permutation (const std::vector< size_type > &permutation, const std::vector< size_type > &inverse_permutation)
 
void invert_permuted_diagblocks ()
 
void reinit (unsigned int nblocks, size_type blocksize, bool compress, Inversion method=gauss_jordan)
 
void inverses_computed (bool are_they)
 
bool same_diagonal () const
 
bool store_diagonals () const
 
bool inverses_ready () const
 
unsigned int size () const
 
void inverse_vmult (size_type i, Vector< number2 > &dst, const Vector< number2 > &src) const
 
void inverse_Tvmult (size_type i, Vector< number2 > &dst, const Vector< number2 > &src) const
 
FullMatrix< typename MatrixType::value_type > & inverse (size_type i)
 
const FullMatrix< typename MatrixType::value_type > & inverse (size_type i) const
 
Householder< typename MatrixType::value_type > & inverse_householder (size_type i)
 
const Householder< typename MatrixType::value_type > & inverse_householder (size_type i) const
 
LAPACKFullMatrix< typename MatrixType::value_type > & inverse_svd (size_type i)
 
const LAPACKFullMatrix< typename MatrixType::value_type > & inverse_svd (size_type i) const
 
FullMatrix< typename MatrixType::value_type > & diagonal (size_type i)
 
const FullMatrix< typename MatrixType::value_type > & diagonal (size_type i) const
 
void log_statistics () const
 

Static Protected Member Functions

static ::ExceptionBaseExcDiagonalsNotStored ()
 
static ::ExceptionBaseExcInverseNotAvailable ()
 

Protected Attributes

size_type blocksize
 
SmartPointer< const MatrixType, PreconditionBlock< MatrixType, inverse_type > > A
 
double relaxation
 
std::vector< size_typepermutation
 
std::vector< size_typeinverse_permutation
 
Inversion inversion
 

Private Types

using number = typename MatrixType::value_type
 
using value_type = inverse_type
 

Private Attributes

unsigned int n_diagonal_blocks
 
std::vector< FullMatrix< typename MatrixType::value_type > > var_inverse_full
 
std::vector< Householder< typename MatrixType::value_type > > var_inverse_householder
 
std::vector< LAPACKFullMatrix< typename MatrixType::value_type > > var_inverse_svd
 
std::vector< FullMatrix< typename MatrixType::value_type > > var_diagonal
 
bool var_store_diagonals
 
bool var_same_diagonal
 
bool var_inverses_ready
 

Subscriptor functionality

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

using map_value_type = decltype(counter_map)::value_type
 
using map_iterator = decltype(counter_map)::iterator
 
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 ::ExceptionBaseExcInUse (int arg1, std::string arg2, std::string arg3)
 
static ::ExceptionBaseExcNoSubscriber (std::string arg1, std::string arg2)
 
std::atomic< unsigned intcounter
 
std::map< std::string, unsigned intcounter_map
 
std::vector< std::atomic< bool > * > validity_pointers
 
const std::type_info * object_info
 
static std::mutex mutex
 
void check_no_subscribers () const noexcept
 

Detailed Description

template<typename MatrixType, typename inverse_type = typename MatrixType::value_type>
class PreconditionBlock< MatrixType, inverse_type >

Base class for actual block preconditioners. This class assumes the MatrixType consisting of invertible blocks of blocksize on the diagonal and provides the inversion of the diagonal blocks of the matrix. It is not necessary for this class that the matrix be block diagonal; rather, it applies to matrices of arbitrary structure with the minimal property of having invertible blocks on the diagonal. Still the matrix must have access to single matrix entries. Therefore, BlockMatrixArray and similar classes are not a possible matrix class template arguments.

The block matrix structure used by this class is given, e.g., for the DG method for the transport equation. For a downstream numbering the matrices even have got a block lower left matrix structure, i.e. the matrices are empty above the diagonal blocks.

Note
This class is intended to be used for matrices whose structure is given by local contributions from disjoint cells, such as for DG methods. It is not intended for problems where the block structure results from different physical variables such as in the Stokes equations considered in step-22.

For all matrices that are empty above and below the diagonal blocks (i.e. for all block diagonal matrices) the BlockJacobi preconditioner is a direct solver. For all matrices that are empty only above the diagonal blocks (e.g. the matrices one gets by the DG method with downstream numbering) BlockSOR is a direct solver.

This first implementation of the PreconditionBlock assumes the matrix has blocks each of the same block size. Varying block sizes within the matrix must still be implemented if needed.

The first template parameter denotes the type of number representation in the sparse matrix, the second denotes the type of number representation in which the inverted diagonal block matrices are stored within this class by invert_diagblocks(). If you don't want to use the block inversion as an exact solver, but rather as a preconditioner, you may probably want to store the inverted blocks with less accuracy than the original matrix; for example, number==double, inverse_type=float might be a viable choice.

See also
Block (linear algebra)

Definition at line 82 of file precondition_block.h.

Member Enumeration Documentation

◆ Inversion

Choose a method for inverting the blocks, and thus the data type for the inverses.

Definition at line 70 of file precondition_block_base.h.

Member Function Documentation

◆ reinit()

void PreconditionBlockBase< typename MatrixType::value_type >::reinit ( unsigned int  nblocks,
size_type  blocksize,
bool  compress,
Inversion  method = gauss_jordan 
)
inlineinherited

Resize to this number of diagonal blocks with the given block size. If compress is true, then only one block will be stored.

Definition at line 110 of file precondition_block_base.h.

◆ inverses_computed()

void PreconditionBlockBase< typename MatrixType::value_type >::inverses_computed ( bool  are_they)
inlineinherited

Tell the class that inverses are computed.

Definition at line 119 of file precondition_block_base.h.

◆ same_diagonal()

bool PreconditionBlockBase< typename MatrixType::value_type >::same_diagonal
inlineinherited

Does the matrix use only one diagonal block?

Definition at line 125 of file precondition_block_base.h.

◆ store_diagonals()

bool PreconditionBlockBase< typename MatrixType::value_type >::store_diagonals
inlineinherited

Check, whether diagonal blocks (not their inverses) should be stored.

Definition at line 131 of file precondition_block_base.h.

◆ inverses_ready()

bool PreconditionBlockBase< typename MatrixType::value_type >::inverses_ready
inlineinherited

Return true, if inverses are ready for use.

Definition at line 137 of file precondition_block_base.h.

◆ size()

unsigned int PreconditionBlockBase< typename MatrixType::value_type >::size
inlineinherited

The number of blocks.

Definition at line 143 of file precondition_block_base.h.

◆ inverse_vmult()

void PreconditionBlockBase< typename MatrixType::value_type >::inverse_vmult ( size_type  i,
Vector< number2 > &  dst,
const Vector< number2 > &  src 
) const
inlineinherited

Multiply with the inverse block at position i.

Definition at line 150 of file precondition_block_base.h.

◆ inverse_Tvmult()

void PreconditionBlockBase< typename MatrixType::value_type >::inverse_Tvmult ( size_type  i,
Vector< number2 > &  dst,
const Vector< number2 > &  src 
) const
inlineinherited

Multiply with the transposed inverse block at position i.

Definition at line 159 of file precondition_block_base.h.

◆ inverse() [1/2]

FullMatrix< typename MatrixType::value_type > & PreconditionBlockBase< typename MatrixType::value_type >::inverse ( size_type  i)
inlineinherited

Access to the inverse diagonal blocks if Inversion is gauss_jordan.

Definition at line 167 of file precondition_block_base.h.

◆ inverse() [2/2]

const FullMatrix< typename MatrixType::value_type > & PreconditionBlockBase< typename MatrixType::value_type >::inverse ( size_type  i) const
inlineinherited

Access to the inverse diagonal blocks.

Definition at line 185 of file precondition_block_base.h.

◆ inverse_householder() [1/2]

Householder< typename MatrixType::value_type > & PreconditionBlockBase< typename MatrixType::value_type >::inverse_householder ( size_type  i)
inlineinherited

Access to the inverse diagonal blocks if Inversion is householder.

Definition at line 173 of file precondition_block_base.h.

◆ inverse_householder() [2/2]

const Householder< typename MatrixType::value_type > & PreconditionBlockBase< typename MatrixType::value_type >::inverse_householder ( size_type  i) const
inlineinherited

Access to the inverse diagonal blocks if Inversion is householder.

Definition at line 191 of file precondition_block_base.h.

◆ inverse_svd() [1/2]

LAPACKFullMatrix< typename MatrixType::value_type > & PreconditionBlockBase< typename MatrixType::value_type >::inverse_svd ( size_type  i)
inlineinherited

Access to the inverse diagonal blocks if Inversion is householder.

Definition at line 179 of file precondition_block_base.h.

◆ inverse_svd() [2/2]

const LAPACKFullMatrix< typename MatrixType::value_type > & PreconditionBlockBase< typename MatrixType::value_type >::inverse_svd ( size_type  i) const
inlineinherited

Access to the inverse diagonal blocks if Inversion is householder.

Definition at line 197 of file precondition_block_base.h.

◆ diagonal() [1/2]

FullMatrix< typename MatrixType::value_type > & PreconditionBlockBase< typename MatrixType::value_type >::diagonal ( size_type  i)
inlineinherited

Access to the diagonal blocks.

Definition at line 203 of file precondition_block_base.h.

◆ diagonal() [2/2]

const FullMatrix< typename MatrixType::value_type > & PreconditionBlockBase< typename MatrixType::value_type >::diagonal ( size_type  i) const
inlineinherited

Access to the diagonal blocks.

Definition at line 209 of file precondition_block_base.h.

◆ log_statistics()

void PreconditionBlockBase< typename MatrixType::value_type >::log_statistics
inlineinherited

Print some statistics about the inverses to deallog. Output depends on Inversion. It is richest for svd, where we obtain statistics on extremal singular values and condition numbers.

Definition at line 217 of file precondition_block_base.h.

◆ ExcDiagonalsNotStored()

static ::ExceptionBase & PreconditionBlockBase< typename MatrixType::value_type >::ExcDiagonalsNotStored ( )
staticinherited

You are trying to access a diagonal block (not its inverse), but you decided not to store the diagonal blocks.

◆ ExcInverseNotAvailable()

static ::ExceptionBase & PreconditionBlockBase< typename MatrixType::value_type >::ExcInverseNotAvailable ( )
staticinherited

You are accessing a diagonal block, assuming that it has a certain type. But, the method used for inverting the diagonal blocks does not use this type

Member Data Documentation

◆ inversion

Inversion PreconditionBlockBase< typename MatrixType::value_type >::inversion
protectedinherited

The method used for inverting blocks.

Definition at line 243 of file precondition_block_base.h.

◆ n_diagonal_blocks

unsigned int PreconditionBlockBase< typename MatrixType::value_type >::n_diagonal_blocks
privateinherited

The number of (inverse) diagonal blocks, if only one is stored.

Definition at line 249 of file precondition_block_base.h.

◆ var_inverse_full

std::vector<FullMatrix<typename MatrixType::value_type > > PreconditionBlockBase< typename MatrixType::value_type >::var_inverse_full
privateinherited

Storage of the inverse matrices of the diagonal blocks matrices as FullMatrix<number> matrices, if Inversion gauss_jordan is used. Using number=float saves memory in comparison with number=double, but may introduce numerical instability.

Definition at line 257 of file precondition_block_base.h.

◆ var_inverse_householder

std::vector<Householder<typename MatrixType::value_type > > PreconditionBlockBase< typename MatrixType::value_type >::var_inverse_householder
privateinherited

Storage of the inverse matrices of the diagonal blocks matrices as Householder matrices if Inversion householder is used. Using number=float saves memory in comparison with number=double, but may introduce numerical instability.

Definition at line 265 of file precondition_block_base.h.

◆ var_inverse_svd

std::vector<LAPACKFullMatrix<typename MatrixType::value_type > > PreconditionBlockBase< typename MatrixType::value_type >::var_inverse_svd
privateinherited

Storage of the inverse matrices of the diagonal blocks matrices as LAPACKFullMatrix matrices if Inversion svd is used. Using number=float saves memory in comparison with number=double, but may introduce numerical instability.

Definition at line 273 of file precondition_block_base.h.

◆ var_diagonal

std::vector<FullMatrix<typename MatrixType::value_type > > PreconditionBlockBase< typename MatrixType::value_type >::var_diagonal
privateinherited

Storage of the original diagonal blocks.

Used by the blocked SSOR method.

Definition at line 280 of file precondition_block_base.h.

◆ var_store_diagonals

bool PreconditionBlockBase< typename MatrixType::value_type >::var_store_diagonals
privateinherited

This is true, if the field var_diagonal is to be used.

Definition at line 286 of file precondition_block_base.h.

◆ var_same_diagonal

bool PreconditionBlockBase< typename MatrixType::value_type >::var_same_diagonal
privateinherited

This is true, if only one inverse is stored.

Definition at line 291 of file precondition_block_base.h.

◆ var_inverses_ready

bool PreconditionBlockBase< typename MatrixType::value_type >::var_inverses_ready
privateinherited

The inverse matrices are usable. Set by the parent class via inverses_computed().

Definition at line 297 of file precondition_block_base.h.


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