Drop entries of a matrix, based on the sparsity pattern. More...

#include <Ifpack2_SparsityFilter_decl.hpp>

Inheritance diagram for Ifpack2::SparsityFilter< MatrixType >:

Public Member Functions
Constructor & destructor methods
	SparsityFilter (const Teuchos::RCP< const row_matrix_type > &Matrix, size_t AllowedNumEntries, LocalOrdinal AllowedBandwidth=-Teuchos::ScalarTraits< LocalOrdinal >::one())
	Constructor. More...

virtual	~SparsityFilter ()
	Destructor. More...

Matrix Query Methods
virtual Teuchos::RCP< const Teuchos::Comm< int > >	getComm () const
	Returns the communicator. More...

virtual Teuchos::RCP< const Tpetra::Map< LocalOrdinal, GlobalOrdinal, Node > >	getRowMap () const
	Returns the Map that describes the row distribution in this matrix. More...

virtual Teuchos::RCP< const Tpetra::Map< LocalOrdinal, GlobalOrdinal, Node > >	getColMap () const
	Returns the Map that describes the column distribution in this matrix. More...

virtual Teuchos::RCP< const Tpetra::Map< LocalOrdinal, GlobalOrdinal, Node > >	getDomainMap () const
	Returns the Map that describes the domain distribution in this matrix. More...

virtual Teuchos::RCP< const Tpetra::Map< LocalOrdinal, GlobalOrdinal, Node > >	getRangeMap () const
	Returns the Map that describes the range distribution in this matrix. More...

virtual Teuchos::RCP< const Tpetra::RowGraph< LocalOrdinal, GlobalOrdinal, Node > >	getGraph () const
	Returns the RowGraph associated with this matrix. More...

virtual global_size_t	getGlobalNumRows () const
	Returns the number of global rows in this matrix. More...

virtual global_size_t	getGlobalNumCols () const
	Returns the number of global columns in this matrix. More...

virtual size_t	getLocalNumRows () const
	Returns the number of rows owned on the calling node. More...

virtual size_t	getLocalNumCols () const
	Returns the number of columns needed to apply the forward operator on this node, i.e., the number of elements listed in the column map. More...

virtual GlobalOrdinal	getIndexBase () const
	Returns the index base for global indices for this matrix. More...

virtual global_size_t	getGlobalNumEntries () const
	Returns the global number of entries in this matrix. More...

virtual size_t	getLocalNumEntries () const
	Returns the local number of entries in this matrix. More...

virtual size_t	getNumEntriesInGlobalRow (GlobalOrdinal globalRow) const
	Returns the current number of entries on this node in the specified global row. More...

virtual size_t	getNumEntriesInLocalRow (LocalOrdinal localRow) const
	Returns the current number of entries on this node in the specified local row. More...

virtual size_t	getGlobalMaxNumRowEntries () const
	Returns the maximum number of entries across all rows/columns on all nodes. More...

virtual size_t	getLocalMaxNumRowEntries () const
	Returns the maximum number of entries across all rows/columns on this node. More...

virtual LocalOrdinal	getBlockSize () const
	The number of degrees of freedom per mesh point. More...

virtual bool	hasColMap () const
	Indicates whether this matrix has a well-defined column map. More...

virtual bool	isLocallyIndexed () const
	If matrix indices are in the local range, this function returns true. Otherwise, this function returns false. */. More...

virtual bool	isGloballyIndexed () const
	If matrix indices are in the global range, this function returns true. Otherwise, this function returns false. */. More...

virtual bool	isFillComplete () const
	Returns `true` if fillComplete() has been called. More...

virtual bool	supportsRowViews () const
	Returns `true` if RowViews are supported. More...

Extraction Methods
virtual void	getGlobalRowCopy (GlobalOrdinal GlobalRow, nonconst_global_inds_host_view_type &Indices, nonconst_values_host_view_type &Values, size_t &NumEntries) const
	Extract a list of entries in a specified global row of this matrix. Put into pre-allocated storage. More...

virtual void	getLocalRowCopy (LocalOrdinal LocalRow, nonconst_local_inds_host_view_type &Indices, nonconst_values_host_view_type &Values, size_t &NumEntries) const
	Extract a list of entries in a specified local row of the graph. Put into storage allocated by calling routine. More...

virtual void	getGlobalRowView (GlobalOrdinal GlobalRow, global_inds_host_view_type &indices, values_host_view_type &values) const
	Extract a const, non-persisting view of global indices in a specified row of the matrix. More...

virtual void	getLocalRowView (LocalOrdinal LocalRow, local_inds_host_view_type &indices, values_host_view_type &values) const
	Extract a const, non-persisting view of local indices in a specified row of the matrix. More...

virtual void	getLocalDiagCopy (Tpetra::Vector< Scalar, LocalOrdinal, GlobalOrdinal, Node > &diag) const
	Get a copy of the diagonal entries owned by this node, with local row indices. More...

Mathematical Methods
virtual void	leftScale (const Tpetra::Vector< Scalar, LocalOrdinal, GlobalOrdinal, Node > &x)
	Scales the RowMatrix on the left with the Vector x. More...

virtual void	rightScale (const Tpetra::Vector< Scalar, LocalOrdinal, GlobalOrdinal, Node > &x)
	Scales the RowMatrix on the right with the Vector x. More...

virtual mag_type	getFrobeniusNorm () const
	Returns the Frobenius norm of the matrix. More...

virtual void	apply (const Tpetra::MultiVector< Scalar, LocalOrdinal, GlobalOrdinal, Node > &X, Tpetra::MultiVector< Scalar, LocalOrdinal, GlobalOrdinal, Node > &Y, Teuchos::ETransp mode=Teuchos::NO_TRANS, Scalar alpha=Teuchos::ScalarTraits< Scalar >::one(), Scalar beta=Teuchos::ScalarTraits< Scalar >::zero()) const
	Computes the operator-multivector application. More...

virtual bool	hasTransposeApply () const
	Indicates whether this operator supports applying the adjoint operator. More...

Public Member Functions inherited from Ifpack2::Details::RowMatrix< MatrixType >
virtual	~RowMatrix ()=default
	Destructor (virtual for memory safety of derived classes) More...

Additional Inherited Members
Public Types inherited from Ifpack2::Details::RowMatrix< MatrixType >
using	scalar_type = typename MatrixType::scalar_type

using	local_ordinal_type = typename MatrixType::local_ordinal_type

using	global_ordinal_type = typename MatrixType::global_ordinal_type

using	node_type = typename MatrixType::node_type

Detailed Description

template<class MatrixType>
class Ifpack2::SparsityFilter< MatrixType >

Drop entries of a matrix, based on the sparsity pattern.

Template Parameters

MatrixType A specialization of Tpetra::RowMatrix.

This class takes an existing Tpetra::RowMatrix, and wraps it in a matrix interface that drops entries using the following criteria:

Drop elements beyond a certain distance from the diagonal, and / or
Keep only the N largest entries in each row.

Here is a typical use case:

Teuchos::RCP<Tpetra::RowMatrix<> > A = ...;
// First filter out all entries in columns
// which are not in A's domain Map.
Ifpack2::LocalFilter<Tpetra::RowMatrix<> > A_local (A);
// Drop all but the largest 20 elements in each row.
const size_t maxEntriesPerRow = 20;
// Exclude elements in each row whose local column index
// is more than 10 greater or less than the local column
// index of the diagonal element in that row.
const int maxBw = 10;
// Now create the sparsity filter. Elements dropped are
// not included in calls to getLocalRowCopy() and apply().
Ifpack2::SparsityFilter<Tpetra::RowMatrix<> > A_drop (A_local, maxEntriesPerRow, maxBw);

This class currently only works if the matrix is the result of a LocalFilter, that is, if the row and column Maps are the same.

Constructor & Destructor Documentation

template<class MatrixType>

Ifpack2::SparsityFilter< MatrixType >::SparsityFilter	(	const Teuchos::RCP< const row_matrix_type > &	Matrix,
		size_t	AllowedNumEntries,
		LocalOrdinal	AllowedBandwidth = `-Teuchos::ScalarTraits<LocalOrdinal>::one()`
	)

explicit

Constructor.

template<class MatrixType >

Ifpack2::SparsityFilter< MatrixType >::~SparsityFilter ( )

virtual

Destructor.

Member Function Documentation

template<class MatrixType >

Teuchos::RCP< const Teuchos::Comm< int > > Ifpack2::SparsityFilter< MatrixType >::getComm ( ) const

virtual

Returns the communicator.

template<class MatrixType >

Teuchos::RCP< const Tpetra::Map< typename MatrixType::local_ordinal_type, typename MatrixType::global_ordinal_type, typename MatrixType::node_type > > Ifpack2::SparsityFilter< MatrixType >::getRowMap ( ) const

virtual

Returns the Map that describes the row distribution in this matrix.

template<class MatrixType >

Teuchos::RCP< const Tpetra::Map< typename MatrixType::local_ordinal_type, typename MatrixType::global_ordinal_type, typename MatrixType::node_type > > Ifpack2::SparsityFilter< MatrixType >::getColMap ( ) const

virtual

Returns the Map that describes the column distribution in this matrix.

template<class MatrixType >

Teuchos::RCP< const Tpetra::Map< typename MatrixType::local_ordinal_type, typename MatrixType::global_ordinal_type, typename MatrixType::node_type > > Ifpack2::SparsityFilter< MatrixType >::getDomainMap ( ) const

virtual

Returns the Map that describes the domain distribution in this matrix.

template<class MatrixType >

Teuchos::RCP< const Tpetra::Map< typename MatrixType::local_ordinal_type, typename MatrixType::global_ordinal_type, typename MatrixType::node_type > > Ifpack2::SparsityFilter< MatrixType >::getRangeMap ( ) const

virtual

Returns the Map that describes the range distribution in this matrix.

template<class MatrixType >

Teuchos::RCP< const Tpetra::RowGraph< typename MatrixType::local_ordinal_type, typename MatrixType::global_ordinal_type, typename MatrixType::node_type > > Ifpack2::SparsityFilter< MatrixType >::getGraph ( ) const

virtual

Returns the RowGraph associated with this matrix.

template<class MatrixType >

global_size_t Ifpack2::SparsityFilter< MatrixType >::getGlobalNumRows ( ) const

virtual

Returns the number of global rows in this matrix.

template<class MatrixType >

global_size_t Ifpack2::SparsityFilter< MatrixType >::getGlobalNumCols ( ) const

virtual

Returns the number of global columns in this matrix.

template<class MatrixType >

size_t Ifpack2::SparsityFilter< MatrixType >::getLocalNumRows ( ) const

virtual

Returns the number of rows owned on the calling node.

template<class MatrixType >

size_t Ifpack2::SparsityFilter< MatrixType >::getLocalNumCols ( ) const

virtual

Returns the number of columns needed to apply the forward operator on this node, i.e., the number of elements listed in the column map.

template<class MatrixType >

MatrixType::global_ordinal_type Ifpack2::SparsityFilter< MatrixType >::getIndexBase ( ) const

virtual

Returns the index base for global indices for this matrix.

template<class MatrixType >

global_size_t Ifpack2::SparsityFilter< MatrixType >::getGlobalNumEntries ( ) const

virtual

Returns the global number of entries in this matrix.

template<class MatrixType >

size_t Ifpack2::SparsityFilter< MatrixType >::getLocalNumEntries ( ) const

virtual

Returns the local number of entries in this matrix.

template<class MatrixType >

size_t Ifpack2::SparsityFilter< MatrixType >::getNumEntriesInGlobalRow ( GlobalOrdinal globalRow ) const

virtual

Returns the current number of entries on this node in the specified global row.

Returns Teuchos::OrdinalTraits<size_t>::invalid() if the specified global row does not belong to this graph.

template<class MatrixType >

size_t Ifpack2::SparsityFilter< MatrixType >::getNumEntriesInLocalRow ( LocalOrdinal localRow ) const

virtual

Returns the current number of entries on this node in the specified local row.

Returns Teuchos::OrdinalTraits<size_t>::invalid() if the specified local row is not valid for this graph.

template<class MatrixType >

size_t Ifpack2::SparsityFilter< MatrixType >::getGlobalMaxNumRowEntries ( ) const

virtual

Returns the maximum number of entries across all rows/columns on all nodes.

template<class MatrixType >

size_t Ifpack2::SparsityFilter< MatrixType >::getLocalMaxNumRowEntries ( ) const

virtual

Returns the maximum number of entries across all rows/columns on this node.

template<class MatrixType >

MatrixType::local_ordinal_type Ifpack2::SparsityFilter< MatrixType >::getBlockSize ( ) const

virtual

The number of degrees of freedom per mesh point.

template<class MatrixType >

bool Ifpack2::SparsityFilter< MatrixType >::hasColMap ( ) const

virtual

Indicates whether this matrix has a well-defined column map.

template<class MatrixType >

bool Ifpack2::SparsityFilter< MatrixType >::isLocallyIndexed ( ) const

virtual

If matrix indices are in the local range, this function returns true. Otherwise, this function returns false. */.

template<class MatrixType >

bool Ifpack2::SparsityFilter< MatrixType >::isGloballyIndexed ( ) const

virtual

If matrix indices are in the global range, this function returns true. Otherwise, this function returns false. */.

template<class MatrixType >

bool Ifpack2::SparsityFilter< MatrixType >::isFillComplete ( ) const

virtual

Returns true if fillComplete() has been called.

template<class MatrixType >

bool Ifpack2::SparsityFilter< MatrixType >::supportsRowViews ( ) const

virtual

Returns true if RowViews are supported.

template<class MatrixType >

void Ifpack2::SparsityFilter< MatrixType >::getGlobalRowCopy	(	GlobalOrdinal	GlobalRow,
		nonconst_global_inds_host_view_type &	Indices,
		nonconst_values_host_view_type &	Values,
		size_t &	NumEntries
	)		const

virtual

Extract a list of entries in a specified global row of this matrix. Put into pre-allocated storage.

Parameters

DropRow	- (In) Global row number for which indices are desired.
Indices	- (Out) Global column indices corresponding to values.
Values	- (Out) Matrix values.
NumEntries	- (Out) Number of indices.

Note: A std::runtime_error exception is thrown if either Indices or Values is not large enough to hold the data associated with row GlobalRow. If GlobalRow does not belong to this node, then Indices and Values are unchanged and NumIndices is returned as Teuchos::OrdinalTraits<size_t>::invalid().

template<class MatrixType >

void Ifpack2::SparsityFilter< MatrixType >::getLocalRowCopy	(	LocalOrdinal	LocalRow,
		nonconst_local_inds_host_view_type &	Indices,
		nonconst_values_host_view_type &	Values,
		size_t &	NumEntries
	)		const

virtual

Extract a list of entries in a specified local row of the graph. Put into storage allocated by calling routine.

Parameters

DropRow	- (In) Drop row number for which indices are desired.
Indices	- (Out) Drop column indices corresponding to values.
Values	- (Out) Matrix values.
NumIndices	- (Out) Number of indices.

Note: A std::runtime_error exception is thrown if either Indices or Values is not large enough to hold the data associated with row DropRow. If DropRow is not valid for this node, then Indices and Values are unchanged and NumIndices is returned as Teuchos::OrdinalTraits<size_t>::invalid().

template<class MatrixType >

void Ifpack2::SparsityFilter< MatrixType >::getGlobalRowView	(	GlobalOrdinal	GlobalRow,
		global_inds_host_view_type &	indices,
		values_host_view_type &	values
	)		const

virtual

Extract a const, non-persisting view of global indices in a specified row of the matrix.

Parameters

GlobalRow	- (In) Global row number for which indices are desired.
Indices	- (Out) Global column indices corresponding to values.
Values	- (Out) Row values

Precondition: isDroplyIndexed() == false

Postcondition: indices.size() == getNumEntriesInGlobalRow(GlobalRow)

Note: If GlobalRow does not belong to this node, then indices is set to null.

template<class MatrixType >

void Ifpack2::SparsityFilter< MatrixType >::getLocalRowView	(	LocalOrdinal	LocalRow,
		local_inds_host_view_type &	indices,
		values_host_view_type &	values
	)		const

virtual

Extract a const, non-persisting view of local indices in a specified row of the matrix.

Parameters

DropRow	- (In) Drop row number for which indices are desired.
Indices	- (Out) Global column indices corresponding to values.
Values	- (Out) Row values

Precondition: isGloballyIndexed() == false

Postcondition: indices.size() == getNumEntriesInDropRow(DropRow)

Note: If DropRow does not belong to this node, then indices is set to null.

template<class MatrixType >

void Ifpack2::SparsityFilter< MatrixType >::getLocalDiagCopy ( Tpetra::Vector< Scalar, LocalOrdinal, GlobalOrdinal, Node > & diag ) const

virtual

Get a copy of the diagonal entries owned by this node, with local row indices.

Returns a distributed Vector object partitioned according to this matrix's row map, containing the the zero and non-zero diagonals owned by this node.

template<class MatrixType >

void Ifpack2::SparsityFilter< MatrixType >::leftScale ( const Tpetra::Vector< Scalar, LocalOrdinal, GlobalOrdinal, Node > & x )

virtual

Scales the RowMatrix on the left with the Vector x.

This matrix will be scaled such that A(i,j) = x(i)*A(i,j) where i denoes the global row number of A and j denotes the global column number of A.

Parameters

x	A vector to left scale this matrix.

template<class MatrixType >

void Ifpack2::SparsityFilter< MatrixType >::rightScale ( const Tpetra::Vector< Scalar, LocalOrdinal, GlobalOrdinal, Node > & x )

virtual

Scales the RowMatrix on the right with the Vector x.

This matrix will be scaled such that A(i,j) = x(j)*A(i,j) where i denoes the global row number of A and j denotes the global column number of A.

Parameters

x	A vector to right scale this matrix.

template<class MatrixType >

SparsityFilter< MatrixType >::mag_type Ifpack2::SparsityFilter< MatrixType >::getFrobeniusNorm ( ) const

virtual

Returns the Frobenius norm of the matrix.

Computes and returns the Frobenius norm of the matrix, defined as: \( \|A\|_F = \sqrt{\sum_{i,j} \|\a_{ij}\|^2} \)

template<class MatrixType >

void Ifpack2::SparsityFilter< MatrixType >::apply	(	const Tpetra::MultiVector< Scalar, LocalOrdinal, GlobalOrdinal, Node > &	X,
		Tpetra::MultiVector< Scalar, LocalOrdinal, GlobalOrdinal, Node > &	Y,
		Teuchos::ETransp	mode = `Teuchos::NO_TRANS`,
		Scalar	alpha = `Teuchos::ScalarTraits<Scalar>::one()`,
		Scalar	beta = `Teuchos::ScalarTraits<Scalar>::zero()`
	)		const

virtual

Computes the operator-multivector application.

Loosely, performs \(Y = \alpha \cdot A^{\textrm{mode}} \cdot X + \beta \cdot Y\). However, the details of operation vary according to the values of alpha and beta. Specifically

if beta == 0, apply() must overwrite Y, so that any values in Y (including NaNs) are ignored.
if alpha == 0, apply() may short-circuit the operator, so that any values in X (including NaNs) are ignored.

template<class MatrixType >

bool Ifpack2::SparsityFilter< MatrixType >::hasTransposeApply ( ) const

virtual

Indicates whether this operator supports applying the adjoint operator.

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

Public Member Functions

Additional Inherited Members

Detailed Description

template<class MatrixType> class Ifpack2::SparsityFilter< MatrixType >

Constructor & Destructor Documentation

Member Function Documentation

template<class MatrixType>
class Ifpack2::SparsityFilter< MatrixType >