sparsematrix_interface.h File Reference

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Classes
class	SparseMatrix< T >

Typedefs
typedef T	value_type

Functions
const_row_iterator	begin_row (size_t row) const
template<typename AB_type , typename A_type , typename B_type >
void	CreateAsMultiplyOf (AB_type &M, const A_type &A, const B_type &B)
	Calculates M = A*B. More...
template<typename T >
class SparseMatrix	CreateAsProductOf (ABC_type &M, const A_type &A, const B_type &B, const C_type &C)
void	defragment ()
const_row_iterator	end_row (size_t row) const
const_row_iterator	get_connection (size_t r, size_t c) const
const_row_iterator	get_connection (size_t r, size_t c, bool &bFound) const
template<typename matrix_type >
void	MatAdd (matrix_type &M, number &alpha1, const matrix_type &A, number &alpha2, const matrix_type &B)
	Calculates M = A + B. More...
size_t	num_cols () const
size_t	num_connections (size_t row) const
size_t	num_rows () const
value_type &	operator() (size_t r, size_t c)
bool	resize (size_t newRows, size_t newCols)
	SparseMatrix ()
size_t	total_num_connections () const
virtual	~SparseMatrix ()

Variables
class SparseMatrix	A_type
class SparseMatrix	ABC_type
	Calculates M = A*B*C. More...
class SparseMatrix	B_type

Typedef Documentation

value_type

typedef T value_type

Function Documentation

begin_row()

row_iterator begin_row

(

size_t

row

)

const

Referenced by ug::SparseMatrix< TValueType >::apply_transposed_ignore_zero_rows(), ug::MapSparseMatrix< TValueType >::axpy(), ug::MapSparseMatrix< TValueType >::axpy_transposed(), ug::SparseMatrix< TValueType >::is_isolated(), ug::GPUSparseMatrix< TValueType >::is_isolated(), ug::MapSparseMatrix< TValueType >::is_isolated(), ug::GPUSparseMatrix< TValueType >::mat_mult_add_row(), ug::MapSparseMatrix< TValueType >::mat_mult_add_row(), ug::SparseMatrix< TValueType >::printrow(), ug::GPUSparseMatrix< TValueType >::printrow(), ug::MapSparseMatrix< TValueType >::printrow(), ug::SparseMatrix< TValueType >::scale(), ug::GPUSparseMatrix< TValueType >::scale(), ug::MapSparseMatrix< TValueType >::scale(), ug::SparseMatrix< TValueType >::set(), ug::GPUSparseMatrix< TValueType >::set(), and ug::MapSparseMatrix< TValueType >::set().

CreateAsMultiplyOf()

template<typename AB_type , typename A_type , typename B_type >

void CreateAsMultiplyOf	(	AB_type &	M,
		const A_type &	A,
		const B_type &	B
	)

Calculates M = A*B.

Parameters

M	(out) Matrix M, M = A*B$
A	(in) Matrix A
B	(in) Matrix B

CreateAsProductOf()

template<typename T >

class SparseMatrix CreateAsProductOf	(	ABC_type &	M,
		const A_type &	A,
		const B_type &	B,
		const C_type &	C
	)

defragment()

void CreateAsProductOf::defragment

(

)

Referenced by ug::SparseMatrix< TValueType >::check_fragmentation().

end_row()

row_iterator end_row

(

size_t

row

)

const

Referenced by ug::SparseMatrix< TValueType >::apply_transposed_ignore_zero_rows(), ug::MapSparseMatrix< TValueType >::axpy(), ug::MapSparseMatrix< TValueType >::axpy_transposed(), ug::SparseMatrix< TValueType >::is_isolated(), ug::GPUSparseMatrix< TValueType >::is_isolated(), ug::MapSparseMatrix< TValueType >::is_isolated(), ug::GPUSparseMatrix< TValueType >::mat_mult_add_row(), ug::MapSparseMatrix< TValueType >::mat_mult_add_row(), ug::SparseMatrix< TValueType >::printrow(), ug::GPUSparseMatrix< TValueType >::printrow(), ug::MapSparseMatrix< TValueType >::printrow(), ug::SparseMatrix< TValueType >::scale(), ug::GPUSparseMatrix< TValueType >::scale(), ug::MapSparseMatrix< TValueType >::scale(), ug::SparseMatrix< TValueType >::set(), ug::GPUSparseMatrix< TValueType >::set(), and ug::MapSparseMatrix< TValueType >::set().

get_connection() [1/2]

row_iterator get_connection	(	size_t	r,
		size_t	c
	)		const

get_connection() [2/2]

row_iterator get_connection	(	size_t	r,
		size_t	c,
		bool &	bFound
	)		const

MatAdd()

template<typename matrix_type >

void MatAdd	(	matrix_type &	M,
		number &	alpha1,
		const matrix_type &	A,
		number &	alpha2,
		const matrix_type &	B
	)

Calculates M = A + B.

Parameters

M	(out) Matrix M, M = A + B
A	(in) Matrix A
B	(in) Matrix B note: A and/or B may be equal to M.

num_cols()

size_t CreateAsProductOf::num_cols

(

)

const

Referenced by ug::Jacobi< TAlgebra >::apply(), ug::AssembledLinearOperator< TAlgebra >::apply(), ug::AssembledLinearOperator< TAlgebra >::apply_sub(), ug::GPUSparseMatrix< TValueType >::axpy(), ug::Table< std::string >::num_cols(), ScalarMatrixAdapter< AT, ST >::operator()(), ug::Table< T >::operator()(), ug::DenseMatrix< VariableArray2< LocalCplMatrix > >::operator*(), ug::DenseMatrix< TStorage >::operator*(), ug::DenseMatrix< VariableArray2< LocalCplMatrix > >::operator*=(), ug::DenseMatrix< TStorage >::operator+(), ug::DenseMatrix< TStorage >::operator-(), ug::DenseMatrix< TStorage >::operator-=(), ug::DenseMatrix< VariableArray2< LocalCplMatrix > >::operator-=(), ug::DenseMatrix< TStorage >::operator/=(), ug::DenseMatrix< TStorage >::operator=(), ug::DenseMatrix< TStorage >::operator==(), ug::GPUSparseMatrix< TValueType >::print(), ug::MapSparseMatrix< TValueType >::print(), ug::bridge::RegisterBridge_Util(), ug::SparseMatrix< TValueType >::set_as_transpose_of2(), ug::Table< T >::stream(), ug::DenseMatrix< TStorage >::subassign(), ug::DenseMatrix< TStorage >::T(), ug::Table< T >::to_csv(), and ug::Table< T >::to_latex().

num_connections()

size_t CreateAsProductOf::num_connections ( size_t  row ) const

inline

Referenced by ug::DeserializeMatrix(), ug::DeserializeRow(), ug::RowSendingScheme< matrix_type >::issue_send(), ug::RowSendingScheme< matrix_type >::process(), ug::ReceiveMatrix(), ug::SerializeMatrix(), and ug::SerializeRow().

num_rows()

size_t CreateAsProductOf::num_rows

(

)

const

Referenced by ug::Jacobi< TAlgebra >::apply(), ug::AssembledLinearOperator< TAlgebra >::apply(), ug::SparseMatrix< TValueType >::apply_ignore_zero_rows(), ug::AssembledLinearOperator< TAlgebra >::apply_sub(), ug::SparseMatrix< TValueType >::apply_transposed_ignore_zero_rows(), ug::GPUSparseMatrix< TValueType >::axpy(), ug::SparseMatrix< TValueType >::axpy(), ug::MapSparseMatrix< TValueType >::axpy(), ug::SparseMatrix< TValueType >::axpy_transposed(), ug::MapSparseMatrix< TValueType >::axpy_transposed(), ug::BlockGaussSeidel< TAlgebra, backward, forward >::block_preprocess(), ug::SparseBlockGaussSeidel< TAlgebra, backward, forward >::block_preprocess(), ug::SparseBlockGaussSeidel2< TAlgebra, backward, forward >::block_preprocess(), ug::GPUSparseMatrix< TValueType >::copyToNewSize(), ug::SparseMatrix< TValueType >::get_nnz_max_cols(), ug::GPUSparseMatrix< TValueType >::get_nnz_max_cols(), ug::SparseMatrix< TValueType >::is_isolated(), ug::GPUSparseMatrix< TValueType >::is_isolated(), ug::MapSparseMatrix< TValueType >::is_isolated(), ug::Table< std::string >::num_cols(), ScalarMatrixAdapter< AT, ST >::operator()(), ug::Table< T >::operator()(), ug::DenseMatrix< VariableArray2< LocalCplMatrix > >::operator*(), ug::DenseMatrix< TStorage >::operator*(), ug::DenseMatrix< VariableArray2< LocalCplMatrix > >::operator*=(), ug::DenseMatrix< TStorage >::operator+(), ug::DenseMatrix< TStorage >::operator-(), ug::DenseMatrix< VariableArray2< LocalCplMatrix > >::operator-=(), ug::DenseMatrix< TStorage >::operator-=(), ug::DenseMatrix< TStorage >::operator/=(), ug::DenseMatrix< TStorage >::operator=(), ug::DenseMatrix< TStorage >::operator==(), ug::PILUTPreconditioner< TAlgebra >::preprocess(), ug::GPUSparseMatrix< TValueType >::print(), ug::MapSparseMatrix< TValueType >::print(), ug::bridge::RegisterBridge_Util(), ug::GPUSparseMatrix< TValueType >::resize_and_keep_values(), ug::SparseMatrix< TValueType >::scale(), ug::GPUSparseMatrix< TValueType >::scale(), ug::MapSparseMatrix< TValueType >::scale(), ug::SparseMatrix< TValueType >::set(), ug::GPUSparseMatrix< TValueType >::set(), ug::MapSparseMatrix< TValueType >::set(), ug::SparseMatrix< TValueType >::set_as_transpose_of2(), ug::Table< T >::stream(), ug::DenseMatrix< TStorage >::subassign(), ug::DenseMatrix< TStorage >::T(), ug::Table< T >::to_csv(), and ug::Table< T >::to_latex().

operator()()

const value_type & operator()	(	size_t	r,
		size_t	c
	)

operator() (size_t r, size_t c) const access connection (r, c)

Parameters

r	row
c	column

Note

it is assert'ed that connection (r,c) is there use operator()(r,c,bConnectionFound) to check.

Returns

SparseMat(r, c)

operator() (size_t r, size_t c) const access or create connection (r, c)

Parameters

r	row
c	column

Note

(r,c) is added to sparsity pattern if not already there use operator()(r,c,bConnectionFound) to prevent

Returns

SparseMat(r, c)=0.0 if connection created, otherwise SparseMat(r, c)

Referenced by ug::DenseMatrix< TStorage >::entry(), ug::GPUSparseMatrix< TValueType >::set_as_copy_of(), ug::MapSparseMatrix< TValueType >::set_as_copy_of(), ug::SparseMatrix< TValueType >::set_as_copy_of(), ug::GPUSparseMatrix< TValueType >::set_as_transpose_of(), ug::MapSparseMatrix< TValueType >::set_as_transpose_of(), and ug::TestHorizontalAlgebraLayouts().

resize()

bool CreateAsProductOf::resize	(	size_t	newRows,
		size_t	newCols
	)

Referenced by ug::GMRES< TVector >::apply_return_defect(), ug::BinaryStreamBuffer::clear(), ug::PageContainer< T, MAX_PAGE_SIZE, Allocator >::clear(), ug::DoFCount::DoFCount(), ug::RasterLayers::load_from_files(), ug::DenseVector< TStorage >::operator=(), ug::DenseMatrix< VariableArray2< LocalCplMatrix > >::operator=(), ug::Vector< TValueType >::operator=(), ug::ReservableArray2< T, T_ordering >::ReservableArray2(), ug::DataImport< TData, dim >::resize_defect_array(), ug::DependentUserData< TData, dim >::resize_deriv_array(), ug::MapSparseMatrix< TValueType >::set_as_copy_of(), ug::MapSparseMatrix< TValueType >::set_as_transpose_of(), ug::VariableArray1< T >::VariableArray1(), and ug::VariableArray2< T, T_ordering >::VariableArray2().

SparseMatrix()

CreateAsProductOf::SparseMatrix

(

)

total_num_connections()

size_t CreateAsProductOf::total_num_connections

(

)

const

~SparseMatrix()

virtual CreateAsProductOf::~SparseMatrix ( )

virtual

Variable Documentation

A_type

class SparseMatrix A_type

ABC_type

class SparseMatrix ABC_type

Calculates M = A*B*C.

Parameters

M	(out) Matrix M, M = A*B*C$
A	(in) Matrix A
B	(in) Matrix B
C	(in) Matrix C

B_type

class SparseMatrix B_type