SparseLUDecomposition< number > Member List

This is the complete list of members for SparseLUDecomposition< number >, including all inherited members.

add(const size_type i, const size_type j, const number value)	SparseMatrix< number >	protected
add(const std::vector< size_type > &indices, const FullMatrix< number2 > &full_matrix, const bool elide_zero_values=true)	SparseMatrix< number >	protected
add(const std::vector< size_type > &row_indices, const std::vector< size_type > &col_indices, const FullMatrix< number2 > &full_matrix, const bool elide_zero_values=true)	SparseMatrix< number >	protected
add(const size_type row, const std::vector< size_type > &col_indices, const std::vector< number2 > &values, const bool elide_zero_values=true)	SparseMatrix< number >	protected
add(const size_type row, const size_type n_cols, const size_type *col_indices, const number2 *values, const bool elide_zero_values=true, const bool col_indices_are_sorted=false)	SparseMatrix< number >	protected
add(const number factor, const SparseMatrix< somenumber > &matrix)	SparseMatrix< number >	protected
begin() const	SparseMatrix< number >	protected
begin()	SparseMatrix< number >	protected
begin(const size_type r) const	SparseMatrix< number >	protected
begin(const size_type r)	SparseMatrix< number >	protected
block_read(std::istream &in)	SparseMatrix< number >	protected
block_write(std::ostream &out) const	SparseMatrix< number >	protected
clear() override	SparseLUDecomposition< number >	virtual
compress(::VectorOperation::values)	SparseMatrix< number >	protected
const_iterator typedef	SparseMatrix< number >	protected
copy_from(const SparseMatrix< somenumber > &matrix)	SparseLUDecomposition< number >	protected
SparseMatrix::copy_from(const ForwardIterator begin, const ForwardIterator end)	SparseMatrix< number >	protected
SparseMatrix::copy_from(const FullMatrix< somenumber > &matrix)	SparseMatrix< number >	protected
SparseMatrix::copy_from(const TrilinosWrappers::SparseMatrix &matrix)	SparseMatrix< number >	protected
diag_element(const size_type i) const	SparseMatrix< number >	protected
diag_element(const size_type i)	SparseMatrix< number >	protected
el(const size_type i, const size_type j) const	SparseMatrix< number >	protected
empty() const	SparseLUDecomposition< number >
end() const	SparseMatrix< number >	protected
end()	SparseMatrix< number >	protected
end(const size_type r) const	SparseMatrix< number >	protected
end(const size_type r)	SparseMatrix< number >	protected
ExcDifferentSparsityPatterns()	SparseMatrix< number >	protectedstatic
SparseMatrix::ExcInUse(int arg1, std::string arg2, std::string arg3)	Subscriptor	protectedstatic
Subscriptor::ExcInUse(int arg1, std::string arg2, std::string arg3)	Subscriptor	static
ExcInvalidIndex(int arg1, int arg2)	SparseMatrix< number >	protectedstatic
ExcInvalidStrengthening(double arg1)	SparseLUDecomposition< number >	static
ExcIteratorRange(int arg1, int arg2)	SparseMatrix< number >	protectedstatic
SparseMatrix::ExcNoSubscriber(std::string arg1, std::string arg2)	Subscriptor	protectedstatic
Subscriptor::ExcNoSubscriber(std::string arg1, std::string arg2)	Subscriptor	static
ExcSourceEqualsDestination()	SparseMatrix< number >	protectedstatic
frobenius_norm() const	SparseMatrix< number >	protected
get_row_length(const size_type row) const	SparseMatrix< number >	protected
get_sparsity_pattern() const	SparseMatrix< number >	protected
get_strengthen_diagonal(const number rowsum, const size_type row) const	SparseLUDecomposition< number >	protectedvirtual
initialize(const SparseMatrix< somenumber > &matrix, const AdditionalData parameters)	SparseLUDecomposition< number >
iterator typedef	SparseMatrix< number >	protected
Jacobi_step(Vector< somenumber > &v, const Vector< somenumber > &b, const number om=1.) const	SparseMatrix< number >	protected
l1_norm() const	SparseMatrix< number >	protected
linfty_norm() const	SparseMatrix< number >	protected
SparseMatrix::list_subscribers(StreamType &stream) const	Subscriptor	inlineprotected
SparseMatrix::list_subscribers() const	Subscriptor	protected
Subscriptor::list_subscribers(StreamType &stream) const	Subscriptor	inline
Subscriptor::list_subscribers() const	Subscriptor
m() const	SparseLUDecomposition< number >
matrix_norm_square(const Vector< somenumber > &v) const	SparseMatrix< number >	protected
matrix_scalar_product(const Vector< somenumber > &u, const Vector< somenumber > &v) const	SparseMatrix< number >	protected
memory_consumption() const	SparseLUDecomposition< number >	virtual
mmult(SparseMatrix< numberC > &C, const SparseMatrix< numberB > &B, const Vector< number > &V=Vector< number >(), const bool rebuild_sparsity_pattern=true) const	SparseMatrix< number >	protected
n() const	SparseLUDecomposition< number >
n_actually_nonzero_elements(const double threshold=0.) const	SparseMatrix< number >	protected
n_nonzero_elements() const	SparseMatrix< number >	protected
SparseMatrix::n_subscriptions() const	Subscriptor	inlineprotected
Subscriptor::n_subscriptions() const	Subscriptor	inline
operator()(const size_type i, const size_type j) const	SparseMatrix< number >	protected
operator()(const size_type i, const size_type j)	SparseMatrix< number >	protected
operator*=(const number factor)	SparseMatrix< number >	protected
operator/=(const number factor)	SparseMatrix< number >	protected
operator=(const SparseMatrix< number > &)	SparseMatrix< number >	protected
operator=(SparseMatrix< number > &&m) noexcept	SparseMatrix< number >	protected
operator=(const IdentityMatrix &id)	SparseMatrix< number >	protected
operator=(const double d)	SparseMatrix< number >	protected
SparseMatrix::Subscriptor::operator=(const Subscriptor &)	Subscriptor	inlineprotected
SparseMatrix::Subscriptor::operator=(Subscriptor &&) noexcept	Subscriptor	protected
Subscriptor::operator=(const Subscriptor &)	Subscriptor	inline
Subscriptor::operator=(Subscriptor &&) noexcept	Subscriptor
own_sparsity	SparseLUDecomposition< number >	private
prebuild_lower_bound()	SparseLUDecomposition< number >	protected
prebuilt_lower_bound	SparseLUDecomposition< number >	protected
precondition_Jacobi(Vector< somenumber > &dst, const Vector< somenumber > &src, const number omega=1.) const	SparseMatrix< number >	protected
precondition_SOR(Vector< somenumber > &dst, const Vector< somenumber > &src, const number om=1.) const	SparseMatrix< number >	protected
precondition_SSOR(Vector< somenumber > &dst, const Vector< somenumber > &src, const number omega=1., const std::vector< std::size_t > &pos_right_of_diagonal=std::vector< std::size_t >()) const	SparseMatrix< number >	protected
precondition_TSOR(Vector< somenumber > &dst, const Vector< somenumber > &src, const number om=1.) const	SparseMatrix< number >	protected
prepare_add()	SparseMatrix< number >	protected
prepare_set()	SparseMatrix< number >	protected
print(StreamType &out, const bool across=false, const bool diagonal_first=true) const	SparseMatrix< number >	protected
print_formatted(std::ostream &out, const unsigned int precision=3, const bool scientific=true, const unsigned int width=0, const char *zero_string=" ", const double denominator=1.) const	SparseMatrix< number >	protected
print_pattern(std::ostream &out, const double threshold=0.) const	SparseMatrix< number >	protected
PSOR(Vector< somenumber > &v, const std::vector< size_type > &permutation, const std::vector< size_type > &inverse_permutation, const number om=1.) const	SparseMatrix< number >	protected
real_type typedef	SparseMatrix< number >	protected
reinit(const SparsityPattern &sparsity)	SparseMatrix< number >	protectedvirtual
residual(Vector< somenumber > &dst, const Vector< somenumber > &x, const Vector< somenumber > &b) const	SparseMatrix< number >	protected
SparseMatrix::serialize(Archive &ar, const unsigned int version)	Subscriptor	inlineprotected
Subscriptor::serialize(Archive &ar, const unsigned int version)	Subscriptor	inline
set(const size_type i, const size_type j, const number value)	SparseMatrix< number >	protected
set(const std::vector< size_type > &indices, const FullMatrix< number2 > &full_matrix, const bool elide_zero_values=false)	SparseMatrix< number >	protected
set(const std::vector< size_type > &row_indices, const std::vector< size_type > &col_indices, const FullMatrix< number2 > &full_matrix, const bool elide_zero_values=false)	SparseMatrix< number >	protected
set(const size_type row, const std::vector< size_type > &col_indices, const std::vector< number2 > &values, const bool elide_zero_values=false)	SparseMatrix< number >	protected
set(const size_type row, const size_type n_cols, const size_type *col_indices, const number2 *values, const bool elide_zero_values=false)	SparseMatrix< number >	protected
size_type typedef	SparseLUDecomposition< number >
SOR(Vector< somenumber > &v, const number om=1.) const	SparseMatrix< number >	protected
SOR_step(Vector< somenumber > &v, const Vector< somenumber > &b, const number om=1.) const	SparseMatrix< number >	protected
SparseLUDecomposition()	SparseLUDecomposition< number >	protected
SparseMatrix()	SparseMatrix< number >	protected
SparseMatrix(const SparseMatrix &)	SparseMatrix< number >	protected
SparseMatrix(SparseMatrix< number > &&m) noexcept	SparseMatrix< number >	protected
SparseMatrix(const SparsityPattern &sparsity)	SparseMatrix< number >	explicitprotected
SparseMatrix(const SparsityPattern &sparsity, const IdentityMatrix &id)	SparseMatrix< number >	protected
SSOR(Vector< somenumber > &v, const number omega=1.) const	SparseMatrix< number >	protected
SSOR_step(Vector< somenumber > &v, const Vector< somenumber > &b, const number om=1.) const	SparseMatrix< number >	protected
strengthen_diagonal	SparseLUDecomposition< number >	protected
strengthen_diagonal_impl()	SparseLUDecomposition< number >	protectedvirtual
SparseMatrix::subscribe(std::atomic< bool > *const validity, const std::string &identifier="") const	Subscriptor	protected
Subscriptor::subscribe(std::atomic< bool > *const validity, const std::string &identifier="") const	Subscriptor
SparseMatrix::Subscriptor()	Subscriptor	inlineprotected
SparseMatrix::Subscriptor(const Subscriptor &)	Subscriptor	inlineprotected
SparseMatrix::Subscriptor(Subscriptor &&) noexcept	Subscriptor	protected
Subscriptor::Subscriptor()	Subscriptor	inline
Subscriptor::Subscriptor(const Subscriptor &)	Subscriptor	inline
Subscriptor::Subscriptor(Subscriptor &&) noexcept	Subscriptor
sum(const SparseMatrix< Number > &local, const MPI_Comm &mpi_communicator, SparseMatrix< Number > &global)	SparseMatrix< number >	related
symmetrize()	SparseMatrix< number >	protected
Tmmult(SparseMatrix< numberC > &C, const SparseMatrix< numberB > &B, const Vector< number > &V=Vector< number >(), const bool rebuild_sparsity_pattern=true) const	SparseMatrix< number >	protected
TPSOR(Vector< somenumber > &v, const std::vector< size_type > &permutation, const std::vector< size_type > &inverse_permutation, const number om=1.) const	SparseMatrix< number >	protected
TSOR(Vector< somenumber > &v, const number om=1.) const	SparseMatrix< number >	protected
TSOR_step(Vector< somenumber > &v, const Vector< somenumber > &b, const number om=1.) const	SparseMatrix< number >	protected
Tvmult(OutVector &dst, const InVector &src) const	SparseMatrix< number >	protected
Tvmult_add(OutVector &dst, const InVector &src) const	SparseLUDecomposition< number >
SparseMatrix::unsubscribe(std::atomic< bool > *const validity, const std::string &identifier="") const	Subscriptor	protected
Subscriptor::unsubscribe(std::atomic< bool > *const validity, const std::string &identifier="") const	Subscriptor
value_type typedef	SparseMatrix< number >	protected
vmult(OutVector &dst, const InVector &src) const	SparseMatrix< number >	protected
vmult_add(OutVector &dst, const InVector &src) const	SparseLUDecomposition< number >
~SparseLUDecomposition() override=0	SparseLUDecomposition< number >	pure virtual
~SparseMatrix() override	SparseMatrix< number >	protectedvirtual
~Subscriptor()	Subscriptor	protectedvirtual