exatn::numerics::TensorExpansion Class Reference

Classes
struct	ExpansionComponent

Public Types
using	Iterator = typename std::vector< ExpansionComponent >::iterator
using	ConstIterator = typename std::vector< ExpansionComponent >::const_iterator

Public Member Functions
	TensorExpansion ()
	TensorExpansion (const TensorExpansion &expansion, const TensorOperator &tensor_operator)
	TensorExpansion (const TensorExpansion &left_expansion, const TensorExpansion &right_expansion)
	TensorExpansion (const TensorExpansion &left_expansion, const TensorExpansion &right_expansion, const TensorOperator &tensor_operator)
	TensorExpansion (const TensorExpansion &)=default
TensorExpansion &	operator= (const TensorExpansion &)=default
	TensorExpansion (TensorExpansion &&) noexcept=default
TensorExpansion &	operator= (TensorExpansion &&) noexcept=default
Iterator	begin ()
Iterator	end ()
ConstIterator	cbegin () const
ConstIterator	cend () const
bool	isKet () const
bool	isBra () const
int	getRank () const
std::size_t	getNumComponents () const
const ExpansionComponent &	getComponent (std::size_t component_num)
bool	appendComponent (std::shared_ptr< TensorNetwork > network, const std::complex< double > coefficient)
void	conjugate ()
void	printIt () const

Protected Attributes
bool	ket_
std::vector< ExpansionComponent >	components_

Constructor & Destructor Documentation

TensorExpansion() [1/4]

exatn::numerics::TensorExpansion::TensorExpansion ( )

inline

Constructs an empty ket tensor expansion.

TensorExpansion() [2/4]

exatn::numerics::TensorExpansion::TensorExpansion	(	const TensorExpansion &	expansion,
		const TensorOperator &	tensor_operator
	)

Constructs a tensor expansion by applying a tensor network operator to another tensor network expansion.

TensorExpansion() [3/4]

exatn::numerics::TensorExpansion::TensorExpansion	(	const TensorExpansion &	left_expansion,
		const TensorExpansion &	right_expansion
	)

Either constructs the inner product tensor network expansion by closing one tensor network expansion with another tensor network expansion from the dual tensor space or constructs the direct product tensor network expansion from two tensor network expansions from the same space.

TensorExpansion() [4/4]

exatn::numerics::TensorExpansion::TensorExpansion	(	const TensorExpansion &	left_expansion,
		const TensorExpansion &	right_expansion,
		const TensorOperator &	tensor_operator
	)

Constructs the inner product tensor network expansion by applying a tensor network operator to a tensor network expansion (right_expansion) and then closing the resulting tensor network expansion with another tensor network expansion from the dual tensor space.

Member Function Documentation

appendComponent()

bool exatn::numerics::TensorExpansion::appendComponent	(	std::shared_ptr< TensorNetwork >	network,
		const std::complex< double >	coefficient
	)

Appends a new component to the tensor network expansion.

conjugate()

void exatn::numerics::TensorExpansion::conjugate

(

)

Conjugates the tensor network expansion: All constituting tensors are complex conjugated, all tensor legs reverse their direction, complex linear expansion coefficients are conjugated: The ket tensor network expansion becomes a bra, and vice versa.

getComponent()

const ExpansionComponent& exatn::numerics::TensorExpansion::getComponent ( std::size_t  component_num )

inline

Returns a specific component of the tensor network expansion.

getNumComponents()

std::size_t exatn::numerics::TensorExpansion::getNumComponents ( ) const

inline

Returns the total number of components in the tensor network expansion.

getRank()

int exatn::numerics::TensorExpansion::getRank ( ) const

inline

Returns the rank of the tensor expansion (number of legs per component). If the expansion is empty, returns -1.

isKet()

bool exatn::numerics::TensorExpansion::isKet ( ) const

inline

Returns whether the tensor network expansion is ket or not.

printIt()

void exatn::numerics::TensorExpansion::printIt

(

)

const

Prints.

Member Data Documentation

ket_

bool exatn::numerics::TensorExpansion::ket_

protected

Data members:

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

• /Users/aqw/exatn/src/numerics/tensor_expansion.hpp
• /Users/aqw/exatn/src/numerics/tensor_expansion.cpp