Namespace for function and classes designated only for internal use. More...

Classes
struct	CholmodCommon
	wrapper object for the cholmod_common struct to automatically call the constructor and destructor More...

class	CholmodSparse
	wrapper class for the cholmod sparse matrix objects More...

class	IndexedTensor
	Internal representation of an readable and writeable indexed Tensor or TensorNetwork. More...

class	IndexedTensorList
	Internal representation of a tuple of indexed Tensor s. More...

class	IndexedTensorMoveable
	Internal representation of an read and write and moveable indexed Tensor or TensorNetwork. More...

class	IndexedTensorReadOnly
	Internal representation of an readable indexed Tensor or TensorNetwork. More...

class	IndexedTensorWritable
	Abstract internal representation of an read and writeable indexed Tensor or TensorNetwork. More...

class	TTStack
	Internal class used to represent stacks of (possibly multiply) applications of TTOperators to either a TTTensor or TTOperator. More...

Typedefs
typedef void(*	ContractionHeuristic) (double &, std::vector< std::pair< size_t, size_t >> &, TensorNetwork)

Functions
void	array_deleter_st (size_t *const _toDelete)
	Internal deleter function, needed because std::shared_ptr misses an array overload. More...

void	array_deleter_vt (value_t *const _toDelete)
	Internal deleter function, needed because std::shared_ptr misses an array overload. More...

std::tuple< size_t, size_t, size_t, double >	best_of_three (const TensorNetwork &_network, size_t _id1, size_t _id2, size_t _id3)

bool	check_position (size_t &_position, const std::pair< size_t, value_t > &_entry, const size_t const _baseIndexDim, const size_t const _divisors, const size_t const _attributes, const bool const _fixedFlags, const bool *const _traceFlags, const size_t numIndices)

int	comp (const Tensor &_a, const Tensor &_b)

double	contraction_cost (double _m, double _n, double _r, double _sparsity1, double _sparsity2)

static void	error_handler (int status, const char file, int line, const char message)

void	evaluate (IndexedTensorWritable< Tensor > &&_out, IndexedTensorReadOnly< Tensor > &&_base)

void	exchange_heuristic (double &_bestCost, std::vector< std::pair< size_t, size_t >> &_contractions, TensorNetwork _network)

template<class tensor_type >
value_t	frob_norm (const IndexedTensorReadOnly< tensor_type > &_idxTensor)
	Returns the frobenious norm of the associated tensorObejct. More...

template value_t	frob_norm< Tensor > (const IndexedTensorReadOnly< Tensor > &_idxTensor)

template value_t	frob_norm< TensorNetwork > (const IndexedTensorReadOnly< TensorNetwork > &_idxTensor)

std::vector< size_t >	get_dimension_vector (const std::vector< Index > &_indices)

size_t	get_eval_degree (const std::vector< Index > &_indices)

size_t	get_position (const std::pair< size_t, value_t > &_entry, const size_t const _baseIndexDim, const size_t const _divisors, const size_t *const _attributes, const size_t numIndices)

std::vector< size_t >	get_step_sizes (const std::vector< Index > &_indices)

void	greedy_best_of_three_heuristic (double &_bestCost, std::vector< std::pair< size_t, size_t >> &_contractions, TensorNetwork _network)

template<double(*)(double, double, double, double, double) scoreFct>
void	greedy_heuristic (double &_bestCost, std::vector< std::pair< size_t, size_t >> &_contractions, TensorNetwork _network)

void	increase_indices (const size_t _i, const value_t *&_oldPosition, const std::vector< size_t > &_steps, const std::vector< size_t > &_multDimensions)

value_t	one_norm (const IndexedTensorReadOnly< Tensor > &_idxTensor)
	Returns the one-norm of the associated tensor Obejct. More...

template<class tensor_type >
IndexedTensorMoveable< tensor_type >	operator* (const value_t _factor, IndexedTensorMoveable< tensor_type > &&_tensor)

template<class tensor_type >
IndexedTensorMoveable< tensor_type >	operator* (IndexedTensorMoveable< tensor_type > &&_tensor, const value_t _factor)

template<class tensor_type >
IndexedTensorMoveable< tensor_type >	operator* (const value_t _factor, IndexedTensorReadOnly< tensor_type > &&_tensor)

template<class tensor_type >
IndexedTensorMoveable< tensor_type >	operator* (IndexedTensorReadOnly< tensor_type > &&_tensor, const value_t _factor)

IndexedTensorMoveable< TensorNetwork >	operator* (IndexedTensorReadOnly< TensorNetwork > &&_lhs, IndexedTensorReadOnly< TensorNetwork > &&_rhs)

IndexedTensorMoveable< TensorNetwork >	operator* (IndexedTensorMoveable< TensorNetwork > &&_lhs, IndexedTensorReadOnly< TensorNetwork > &&_rhs)

IndexedTensorMoveable< TensorNetwork >	operator* (IndexedTensorReadOnly< TensorNetwork > &&_lhs, IndexedTensorMoveable< TensorNetwork > &&_rhs)

IndexedTensorMoveable< TensorNetwork >	operator* (IndexedTensorMoveable< TensorNetwork > &&_lhs, IndexedTensorMoveable< TensorNetwork > &&_rhs)

template IndexedTensorMoveable< Tensor >	operator* (IndexedTensorReadOnly< Tensor > &&_tensor, const value_t _factor)

template IndexedTensorMoveable< TensorNetwork >	operator* (IndexedTensorReadOnly< TensorNetwork > &&_tensor, const value_t _factor)

template IndexedTensorMoveable< Tensor >	operator*<Tensor > (const value_t _factor, IndexedTensorReadOnly< Tensor > &&_tensor)

template IndexedTensorMoveable< TensorNetwork >	operator*<TensorNetwork > (const value_t _factor, IndexedTensorReadOnly< TensorNetwork > &&_tensor)

IndexedTensorMoveable< Tensor >	operator+ (IndexedTensorReadOnly< Tensor > &&_lhs, IndexedTensorReadOnly< Tensor > &&_rhs)

IndexedTensorMoveable< Tensor >	operator+ (IndexedTensorMoveable< Tensor > &&_lhs, IndexedTensorReadOnly< Tensor > &&_rhs)

IndexedTensorMoveable< Tensor >	operator+ (IndexedTensorReadOnly< Tensor > &&_lhs, IndexedTensorMoveable< Tensor > &&_rhs)

IndexedTensorMoveable< Tensor >	operator+ (IndexedTensorMoveable< Tensor > &&_lhs, IndexedTensorMoveable< Tensor > &&_rhs)

IndexedTensorMoveable< Tensor >	operator+ (IndexedTensorReadOnly< Tensor > &&_lhs, IndexedTensorReadOnly< TensorNetwork > &&_rhs)

IndexedTensorMoveable< Tensor >	operator+ (IndexedTensorReadOnly< TensorNetwork > &&_lhs, IndexedTensorReadOnly< Tensor > &&_rhs)

IndexedTensorMoveable< TensorNetwork >	operator+ (IndexedTensorReadOnly< TensorNetwork > &&_lhs, IndexedTensorReadOnly< TensorNetwork > &&_rhs)

IndexedTensorList	operator, (IndexedTensor< Tensor > &&_first, IndexedTensor< Tensor > &&_second)
	Using the "," operator tuples of writeable indexed tensor can be created. More...

IndexedTensorList	operator, (IndexedTensorList &&_first, IndexedTensor< Tensor > &&_second)
	Using the "," operator tuples of writeable indexed tensor can be created. More...

IndexedTensorMoveable< Tensor >	operator- (IndexedTensorReadOnly< Tensor > &&_lhs, IndexedTensorReadOnly< Tensor > &&_rhs)

IndexedTensorMoveable< Tensor >	operator- (IndexedTensorMoveable< Tensor > &&_lhs, IndexedTensorReadOnly< Tensor > &&_rhs)

IndexedTensorMoveable< Tensor >	operator- (IndexedTensorReadOnly< Tensor > &&_lhs, IndexedTensorMoveable< Tensor > &&_rhs)

IndexedTensorMoveable< Tensor >	operator- (IndexedTensorMoveable< Tensor > &&_lhs, IndexedTensorMoveable< Tensor > &&_rhs)

IndexedTensorMoveable< Tensor >	operator- (IndexedTensorReadOnly< Tensor > &&_lhs, IndexedTensorReadOnly< TensorNetwork > &&_rhs)

IndexedTensorMoveable< Tensor >	operator- (IndexedTensorReadOnly< TensorNetwork > &&_lhs, IndexedTensorReadOnly< Tensor > &&_rhs)

IndexedTensorMoveable< TensorNetwork >	operator- (IndexedTensorReadOnly< TensorNetwork > &&_lhs, IndexedTensorReadOnly< TensorNetwork > &&_rhs)

template<class tensor_type >
IndexedTensorMoveable< tensor_type >	operator/ (IndexedTensorMoveable< tensor_type > &&_tensor, const value_t _divisor)

template<class tensor_type >
IndexedTensorMoveable< tensor_type >	operator/ (IndexedTensorReadOnly< tensor_type > &&_tensor, const value_t _divisor)

template IndexedTensorMoveable< Tensor >	operator/ (IndexedTensorReadOnly< Tensor > &&_tensor, const value_t _divisor)

template IndexedTensorMoveable< TensorNetwork >	operator/ (IndexedTensorReadOnly< TensorNetwork > &&_tensor, const value_t _divisor)

double	score_big_tensor (double _m, double _n, double _r, double _sparsity1, double _sparsity2)

double	score_littlestep (double _m, double _n, double _r, double _sparsity1, double _sparsity2)

double	score_mn (double _m, double _n, double _r, double _sparsity1, double _sparsity2)

double	score_r (double _m, double _n, double _r, double _sparsity1, double _sparsity2)

double	score_size (double _m, double _n, double _r, double _sparsity1, double _sparsity2)

double	score_speed (double _m, double _n, double _r, double _sparsity1, double _sparsity2)

void	sum_traces (value_t const _newPosition, const value_t _oldPosition, const std::vector< size_t > &_doubleSteps, const std::vector< size_t > &_doubleMultDimensions, const size_t _numSummations)

void	sum_traces (value_t const _newPosition, const value_t _oldPosition, const std::vector< size_t > &_doubleSteps, const std::vector< size_t > &_doubleMultDimensions, const size_t _numSummations, const size_t _orderedIndicesMultDim)

Variables
thread_local CholmodCommon	cholmodObject

const std::vector< ContractionHeuristic >	contractionHeuristics

Detailed Description

Namespace for function and classes designated only for internal use.

End users should never be required to know or explicitly use classes or functions from this namespace. If you want to do so nevertheless be aware of the minimalistic documentation and in some cases quite unexpected behavior.

Typedef Documentation

◆ ContractionHeuristic

typedef void(* xerus::internal::ContractionHeuristic) (double &, std::vector< std::pair< size_t, size_t >> &, TensorNetwork)

Definition at line 35 of file contractionHeuristic.h.

Function Documentation

◆ array_deleter_st()

void xerus::internal::array_deleter_st ( size_t *const _toDelete )

Internal deleter function, needed because std::shared_ptr misses an array overload.

Definition at line 32 of file basic.cpp.

◆ array_deleter_vt()

void xerus::internal::array_deleter_vt ( value_t *const _toDelete )

Internal deleter function, needed because std::shared_ptr misses an array overload.

Definition at line 31 of file basic.cpp.

◆ best_of_three()

std::tuple<size_t, size_t, size_t, double> xerus::internal::best_of_three	(	const TensorNetwork &	_network,
		size_t	_id1,
		size_t	_id2,
		size_t	_id3
	)

Definition at line 138 of file contractionHeuristic.cpp.

◆ check_position()

bool xerus::internal::check_position	(	size_t &	_position,
		const std::pair< size_t, value_t > &	_entry,
		const size_t *const	_baseIndexDim,
		const size_t *const	_divisors,
		const size_t *const	_attributes,
		const bool *const	_fixedFlags,
		const bool *const	_traceFlags,
		const size_t	numIndices
	)

inline

Definition at line 197 of file indexedTensor_tensor_evaluate.cpp.

◆ comp()

int xerus::internal::comp	(	const Tensor &	_a,
		const Tensor &	_b
	)

Definition at line 549 of file measurments.cpp.

◆ contraction_cost()

double xerus::internal::contraction_cost	(	double	_m,
		double	_n,
		double	_r,
		double	_sparsity1,
		double	_sparsity2
	)

Definition at line 102 of file contractionHeuristic.cpp.

◆ error_handler()

static void xerus::internal::error_handler	(	int	status,
		const char *	file,
		int	line,
		const char *	message
	)

static

Definition at line 50 of file cholmod_wrapper.cpp.

◆ evaluate()

void xerus::internal::evaluate	(	internal::IndexedTensorWritable< Tensor > &&	_out,
		internal::IndexedTensorReadOnly< Tensor > &&	_base
	)

Definition at line 248 of file indexedTensor_tensor_evaluate.cpp.

◆ exchange_heuristic()

void xerus::internal::exchange_heuristic	(	double &	_bestCost,
		std::vector< std::pair< size_t, size_t >> &	_contractions,
		TensorNetwork	_network
	)

Definition at line 278 of file contractionHeuristic.cpp.

◆ frob_norm()

template<class tensor_type >

value_t xerus::internal::frob_norm ( const IndexedTensorReadOnly< tensor_type > & _idxTensor )

Returns the frobenious norm of the associated tensorObejct.

Definition at line 330 of file indexedTensorReadOnly.cpp.

◆ frob_norm< Tensor >()

template value_t xerus::internal::frob_norm< Tensor > ( const IndexedTensorReadOnly< Tensor > & _idxTensor )

◆ frob_norm< TensorNetwork >()

template value_t xerus::internal::frob_norm< TensorNetwork > ( const IndexedTensorReadOnly< TensorNetwork > & _idxTensor )

◆ get_dimension_vector()

std::vector<size_t> xerus::internal::get_dimension_vector ( const std::vector< Index > & _indices )

inline

Definition at line 227 of file indexedTensor_tensor_evaluate.cpp.

◆ get_eval_degree()

size_t xerus::internal::get_eval_degree ( const std::vector< Index > & _indices )

Definition at line 341 of file indexedTensorReadOnly.cpp.

◆ get_position()

size_t xerus::internal::get_position	(	const std::pair< size_t, value_t > &	_entry,
		const size_t *const	_baseIndexDim,
		const size_t *const	_divisors,
		const size_t *const	_attributes,
		const size_t	numIndices
	)

inline

Definition at line 185 of file indexedTensor_tensor_evaluate.cpp.

◆ get_step_sizes()

std::vector<size_t> xerus::internal::get_step_sizes ( const std::vector< Index > & _indices )

inline

Definition at line 236 of file indexedTensor_tensor_evaluate.cpp.

◆ greedy_best_of_three_heuristic()

void xerus::internal::greedy_best_of_three_heuristic	(	double &	_bestCost,
		std::vector< std::pair< size_t, size_t >> &	_contractions,
		TensorNetwork	_network
	)

Definition at line 180 of file contractionHeuristic.cpp.

◆ greedy_heuristic()

template<double(*)(double, double, double, double, double) scoreFct>

void xerus::internal::greedy_heuristic	(	double &	_bestCost,
		std::vector< std::pair< size_t, size_t >> &	_contractions,
		TensorNetwork	_network
	)

Definition at line 35 of file contractionHeuristic.cpp.

◆ increase_indices()

void xerus::internal::increase_indices	(	const size_t	_i,
		const value_t *&	_oldPosition,
		const std::vector< size_t > &	_steps,
		const std::vector< size_t > &	_multDimensions
	)

inline

Definition at line 147 of file indexedTensor_tensor_evaluate.cpp.

◆ one_norm()

value_t xerus::internal::one_norm ( const IndexedTensorReadOnly< Tensor > & _idxTensor )

Returns the one-norm of the associated tensor Obejct.

Definition at line 337 of file indexedTensorReadOnly.cpp.

◆ operator*() [1/10]

template<class tensor_type >

IndexedTensorMoveable<tensor_type> xerus::internal::operator*	(	const value_t	_factor,
		IndexedTensorMoveable< tensor_type > &&	_tensor
	)

inline

Definition at line 82 of file indexedTensorMoveable.h.

◆ operator*() [2/10]

template<class tensor_type >

IndexedTensorMoveable<tensor_type> xerus::internal::operator*	(	IndexedTensorMoveable< tensor_type > &&	_tensor,
		const value_t	_factor
	)

inline

Definition at line 89 of file indexedTensorMoveable.h.

◆ operator*() [3/10]

template<class tensor_type >

IndexedTensorMoveable< tensor_type > xerus::internal::operator*	(	const value_t	_factor,
		IndexedTensorReadOnly< tensor_type > &&	_tensor
	)

Definition at line 182 of file indexedTensorReadOnly.cpp.

◆ operator*() [4/10]

template<class tensor_type >

IndexedTensorMoveable< tensor_type > xerus::internal::operator*	(	IndexedTensorReadOnly< tensor_type > &&	_tensor,
		const value_t	_factor
	)

Definition at line 193 of file indexedTensorReadOnly.cpp.

◆ operator*() [5/10]

IndexedTensorMoveable< TensorNetwork > xerus::internal::operator*	(	IndexedTensorReadOnly< TensorNetwork > &&	_lhs,
		IndexedTensorReadOnly< TensorNetwork > &&	_rhs
	)

Definition at line 290 of file indexedTensorReadOnly.cpp.

◆ operator*() [6/10]

IndexedTensorMoveable< TensorNetwork > xerus::internal::operator*	(	IndexedTensorMoveable< TensorNetwork > &&	_lhs,
		IndexedTensorReadOnly< TensorNetwork > &&	_rhs
	)

Definition at line 304 of file indexedTensorReadOnly.cpp.

◆ operator*() [7/10]

IndexedTensorMoveable< TensorNetwork > xerus::internal::operator*	(	IndexedTensorReadOnly< TensorNetwork > &&	_lhs,
		IndexedTensorMoveable< TensorNetwork > &&	_rhs
	)

Definition at line 318 of file indexedTensorReadOnly.cpp.

◆ operator*() [8/10]

IndexedTensorMoveable< TensorNetwork > xerus::internal::operator*	(	IndexedTensorMoveable< TensorNetwork > &&	_lhs,
		IndexedTensorMoveable< TensorNetwork > &&	_rhs
	)

Definition at line 322 of file indexedTensorReadOnly.cpp.

◆ operator*() [9/10]

template IndexedTensorMoveable<Tensor> xerus::internal::operator*	(	IndexedTensorReadOnly< Tensor > &&	_tensor,
		const value_t	_factor
	)

◆ operator*() [10/10]

template IndexedTensorMoveable<TensorNetwork> xerus::internal::operator*	(	IndexedTensorReadOnly< TensorNetwork > &&	_tensor,
		const value_t	_factor
	)

◆ operator*()

template IndexedTensorMoveable<Tensor> xerus::internal::operator*<Tensor >	(	const value_t	_factor,
		IndexedTensorReadOnly< Tensor > &&	_tensor
	)

◆ operator*()

template IndexedTensorMoveable<TensorNetwork> xerus::internal::operator*<TensorNetwork >	(	const value_t	_factor,
		IndexedTensorReadOnly< TensorNetwork > &&	_tensor
	)

◆ operator+() [1/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator+	(	IndexedTensorReadOnly< Tensor > &&	_lhs,
		IndexedTensorReadOnly< Tensor > &&	_rhs
	)

Definition at line 212 of file indexedTensorReadOnly.cpp.

◆ operator+() [2/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator+	(	IndexedTensorMoveable< Tensor > &&	_lhs,
		IndexedTensorReadOnly< Tensor > &&	_rhs
	)

Definition at line 219 of file indexedTensorReadOnly.cpp.

◆ operator+() [3/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator+	(	IndexedTensorReadOnly< Tensor > &&	_lhs,
		IndexedTensorMoveable< Tensor > &&	_rhs
	)

Definition at line 226 of file indexedTensorReadOnly.cpp.

◆ operator+() [4/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator+	(	IndexedTensorMoveable< Tensor > &&	_lhs,
		IndexedTensorMoveable< Tensor > &&	_rhs
	)

Definition at line 230 of file indexedTensorReadOnly.cpp.

◆ operator+() [5/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator+	(	IndexedTensorReadOnly< Tensor > &&	_lhs,
		IndexedTensorReadOnly< TensorNetwork > &&	_rhs
	)

Definition at line 268 of file indexedTensorReadOnly.cpp.

◆ operator+() [6/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator+	(	IndexedTensorReadOnly< TensorNetwork > &&	_lhs,
		IndexedTensorReadOnly< Tensor > &&	_rhs
	)

Definition at line 272 of file indexedTensorReadOnly.cpp.

◆ operator+() [7/7]

IndexedTensorMoveable< TensorNetwork > xerus::internal::operator+	(	IndexedTensorReadOnly< TensorNetwork > &&	_lhs,
		IndexedTensorReadOnly< TensorNetwork > &&	_rhs
	)

Definition at line 259 of file indexedTensorReadOnly.cpp.

◆ operator,() [1/2]

IndexedTensorList xerus::internal::operator,	(	IndexedTensor< Tensor > &&	_first,
		IndexedTensor< Tensor > &&	_second
	)

Using the "," operator tuples of writeable indexed tensor can be created.

Parameters

_first	the first element of the tuple.
_second	the second element of the tuple.

Returns: an IndexedTensorList representing the desired 2-tuple.

Definition at line 43 of file indexedTensorList.cpp.

◆ operator,() [2/2]

IndexedTensorList xerus::internal::operator,	(	IndexedTensorList &&	_first,
		IndexedTensor< Tensor > &&	_second
	)

Using the "," operator tuples of writeable indexed tensor can be created.

Parameters

_first	an existing tuple of writeable indexed tensor.
_second	a further writeable indexed tensor that shall be appended to the existing tuple.

Returns: an IndexedTensorList representing the desired (n+1)-tuple.

Definition at line 47 of file indexedTensorList.cpp.

◆ operator-() [1/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator-	(	IndexedTensorReadOnly< Tensor > &&	_lhs,
		IndexedTensorReadOnly< Tensor > &&	_rhs
	)

Definition at line 235 of file indexedTensorReadOnly.cpp.

◆ operator-() [2/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator-	(	IndexedTensorMoveable< Tensor > &&	_lhs,
		IndexedTensorReadOnly< Tensor > &&	_rhs
	)

Definition at line 242 of file indexedTensorReadOnly.cpp.

◆ operator-() [3/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator-	(	IndexedTensorReadOnly< Tensor > &&	_lhs,
		IndexedTensorMoveable< Tensor > &&	_rhs
	)

Definition at line 249 of file indexedTensorReadOnly.cpp.

◆ operator-() [4/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator-	(	IndexedTensorMoveable< Tensor > &&	_lhs,
		IndexedTensorMoveable< Tensor > &&	_rhs
	)

Definition at line 253 of file indexedTensorReadOnly.cpp.

◆ operator-() [5/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator-	(	IndexedTensorReadOnly< Tensor > &&	_lhs,
		IndexedTensorReadOnly< TensorNetwork > &&	_rhs
	)

Definition at line 280 of file indexedTensorReadOnly.cpp.

◆ operator-() [6/7]

IndexedTensorMoveable< Tensor > xerus::internal::operator-	(	IndexedTensorReadOnly< TensorNetwork > &&	_lhs,
		IndexedTensorReadOnly< Tensor > &&	_rhs
	)

Definition at line 284 of file indexedTensorReadOnly.cpp.

◆ operator-() [7/7]

IndexedTensorMoveable< TensorNetwork > xerus::internal::operator-	(	IndexedTensorReadOnly< TensorNetwork > &&	_lhs,
		IndexedTensorReadOnly< TensorNetwork > &&	_rhs
	)

Definition at line 276 of file indexedTensorReadOnly.cpp.

◆ operator/() [1/4]

template<class tensor_type >

IndexedTensorMoveable<tensor_type> xerus::internal::operator/	(	IndexedTensorMoveable< tensor_type > &&	_tensor,
		const value_t	_divisor
	)

inline

Definition at line 94 of file indexedTensorMoveable.h.

◆ operator/() [2/4]

template<class tensor_type >

IndexedTensorMoveable< tensor_type > xerus::internal::operator/	(	IndexedTensorReadOnly< tensor_type > &&	_tensor,
		const value_t	_divisor
	)

Definition at line 202 of file indexedTensorReadOnly.cpp.

◆ operator/() [3/4]

template IndexedTensorMoveable<Tensor> xerus::internal::operator/	(	IndexedTensorReadOnly< Tensor > &&	_tensor,
		const value_t	_divisor
	)

◆ operator/() [4/4]

template IndexedTensorMoveable<TensorNetwork> xerus::internal::operator/	(	IndexedTensorReadOnly< TensorNetwork > &&	_tensor,
		const value_t	_divisor
	)

◆ score_big_tensor()

double xerus::internal::score_big_tensor	(	double	_m,
		double	_n,
		double	_r,
		double	_sparsity1,
		double	_sparsity2
	)

Definition at line 121 of file contractionHeuristic.cpp.

◆ score_littlestep()

double xerus::internal::score_littlestep	(	double	_m,
		double	_n,
		double	_r,
		double	_sparsity1,
		double	_sparsity2
	)

Definition at line 128 of file contractionHeuristic.cpp.

◆ score_mn()

double xerus::internal::score_mn	(	double	_m,
		double	_n,
		double	_r,
		double	_sparsity1,
		double	_sparsity2
	)

Definition at line 112 of file contractionHeuristic.cpp.

◆ score_r()

double xerus::internal::score_r	(	double	_m,
		double	_n,
		double	_r,
		double	_sparsity1,
		double	_sparsity2
	)

Definition at line 118 of file contractionHeuristic.cpp.

◆ score_size()

double xerus::internal::score_size	(	double	_m,
		double	_n,
		double	_r,
		double	_sparsity1,
		double	_sparsity2
	)

Definition at line 109 of file contractionHeuristic.cpp.

◆ score_speed()

double xerus::internal::score_speed	(	double	_m,
		double	_n,
		double	_r,
		double	_sparsity1,
		double	_sparsity2
	)

Definition at line 115 of file contractionHeuristic.cpp.

◆ sum_traces() [1/2]

void xerus::internal::sum_traces	(	value_t *const	_newPosition,
		const value_t *	_oldPosition,
		const std::vector< size_t > &	_doubleSteps,
		const std::vector< size_t > &	_doubleMultDimensions,
		const size_t	_numSummations
	)

inline

Definition at line 159 of file indexedTensor_tensor_evaluate.cpp.

◆ sum_traces() [2/2]

void xerus::internal::sum_traces	(	value_t *const	_newPosition,
		const value_t *	_oldPosition,
		const std::vector< size_t > &	_doubleSteps,
		const std::vector< size_t > &	_doubleMultDimensions,
		const size_t	_numSummations,
		const size_t	_orderedIndicesMultDim
	)

inline

Definition at line 171 of file indexedTensor_tensor_evaluate.cpp.

Variable Documentation

◆ cholmodObject

thread_local CholmodCommon xerus::internal::cholmodObject

Definition at line 81 of file cholmod_wrapper.cpp.

◆ contractionHeuristics

const std::vector< ContractionHeuristic > xerus::internal::contractionHeuristics

Initial value:

{
            &greedy_heuristic<&score_size>,
            &greedy_heuristic<&score_mn>,
            &greedy_heuristic<&score_speed>,
            &greedy_heuristic<&score_big_tensor>,
            &greedy_heuristic<&score_littlestep>
            ,&exchange_heuristic
        }

Definition at line 372 of file contractionHeuristic.cpp.

Classes

Typedefs

Functions

Variables

Detailed Description

Typedef Documentation

◆ ContractionHeuristic

Function Documentation

◆ array_deleter_st()

◆ array_deleter_vt()

◆ best_of_three()

◆ check_position()

◆ comp()

◆ contraction_cost()

◆ error_handler()

◆ evaluate()

◆ exchange_heuristic()

◆ frob_norm()

◆ frob_norm< Tensor >()

◆ frob_norm< TensorNetwork >()

◆ get_dimension_vector()

◆ get_eval_degree()

◆ get_position()

◆ get_step_sizes()

◆ greedy_best_of_three_heuristic()

◆ greedy_heuristic()

◆ increase_indices()

◆ one_norm()

◆ operator*() [1/10]

◆ operator*() [2/10]

◆ operator*() [3/10]

◆ operator*() [4/10]

◆ operator*() [5/10]

◆ operator*() [6/10]

◆ operator*() [7/10]

◆ operator*() [8/10]

◆ operator*() [9/10]

◆ operator*() [10/10]

◆ operator*()

◆ operator*()

◆ operator+() [1/7]

◆ operator+() [2/7]

◆ operator+() [3/7]

◆ operator+() [4/7]

◆ operator+() [5/7]

◆ operator+() [6/7]

◆ operator+() [7/7]

◆ operator,() [1/2]

◆ operator,() [2/2]

◆ operator-() [1/7]

◆ operator-() [2/7]

◆ operator-() [3/7]

◆ operator-() [4/7]

◆ operator-() [5/7]

◆ operator-() [6/7]

◆ operator-() [7/7]

◆ operator/() [1/4]

◆ operator/() [2/4]

◆ operator/() [3/4]

◆ operator/() [4/4]

◆ score_big_tensor()

◆ score_littlestep()

◆ score_mn()

◆ score_r()

◆ score_size()

◆ score_speed()

◆ sum_traces() [1/2]

◆ sum_traces() [2/2]

Variable Documentation

◆ cholmodObject

◆ contractionHeuristics