#include <srconf.h>

Collaboration diagram for madness::SRConf< T >:

Public Types
typedef Tensor< T >	tensorT

Public Member Functions
	SRConf ()
	default ctor More...

	SRConf (const unsigned int &dim, const unsigned int &k, const TensorType &tt)
	ctor with dimensions for a vector configuration (tested) More...

	SRConf (const SRConf &rhs)
	copy ctor (tested); shallow copy More...

	SRConf (const Tensor< double > &weights, const std::vector< Tensor< T > > &vectors, const unsigned int &dim, const unsigned int maxk, const TensorType &tt)
	ctor with provided weights and effective vectors; shallow copy More...

	SRConf (const tensorT &vector1)
	explicit ctor with one vector (aka full representation), shallow More...

	SRConf (const Tensor< double > &weights, const tensorT &vector1, const tensorT &vector2, const unsigned int &dim, const unsigned int maxk)
	explicit ctor with two vectors (aka SVD), shallow More...

SRConf &	operator= (const SRConf &rhs)
	assignment operator (tested), shallow copy of vectors More...

const SRConf	get_configs (const int &start, const int &end) const

	~SRConf ()
	dtor More...

template<typename Archive >
void	serialize (Archive &ar)

TensorType	type () const
	return the tensor type More...

bool	has_data () const
	does this have any data? More...

void	orthonormalize (const double &thresh)
	orthonormalize this More...

Tensor< T > &	ref_vector (const unsigned int &idim)
	return reference to one of the vectors F More...

const Tensor< T > &	ref_vector (const unsigned int &idim) const
	return reference to one of the vectors F More...

bool	has_structure () const
	return if this has a tensor structure (has not been flattened) More...

int	dim_per_vector () const
	return the number of physical dimensions More...

double	weights (const unsigned int &i) const
	return the weight More...

Static Public Member Functions
static int	max_sigma (const double &thresh, const int &rank, const Tensor< double > &w)

Public Attributes
unsigned int	dim_
	the number of dimensions (the order of the tensor) More...

Tensor< typename Tensor< T > ::scalar_type >	weights_
	for each configuration the weight; length should be r More...

std::vector< tensorT >	vector_

long	rank_
	what is the rank of this More...

unsigned int	maxk_

std::vector< Slice >	s_

TensorType	tensortype_
	how will this be represented More...

Static Public Attributes
static const bool	check_orthonormality =false
	check orthonormality at low rank additions More...

Friends
class	GenTensor< T >

SRConf< T >	copy (const SRConf< T > &rhs)
	deep copy of rhs, shrink More...

const SRConf< Q > &lhs	if ((lhs.has_no_data()) or(rhs.has_no_data())) return 0.0

bool	compatible (const SRConf &lhs, const SRConf &rhs)
	check compatibility More...

Detailed Description

template<typename T>
class madness::SRConf< T >

A SRConf handles all the configurations in a Separated Representation.

Member Typedef Documentation

template<typename T>

typedef Tensor<T> madness::SRConf< T >::tensorT

Constructor & Destructor Documentation

template<typename T>

madness::SRConf< T >::SRConf ( )

inline

default ctor

template<typename T>

madness::SRConf< T >::SRConf	(	const unsigned int &	dim,
		const unsigned int &	k,
		const TensorType &	tt
	)

inline

ctor with dimensions for a vector configuration (tested)

References madness::SRConf< T >::has_structure(), and madness::TT_FULL.

template<typename T>

madness::SRConf< T >::SRConf ( const SRConf< T > & rhs )

inline

copy ctor (tested); shallow copy

References madness::SRConf< T >::has_structure().

template<typename T>

madness::SRConf< T >::SRConf	(	const Tensor< double > &	weights,
		const std::vector< Tensor< T > > &	vectors,
		const unsigned int &	dim,
		const unsigned int	maxk,
		const TensorType &	tt
	)

inline

ctor with provided weights and effective vectors; shallow copy

References madness::SRConf< T >::has_structure(), and madness::SRConf< T >::weights().

template<typename T>

madness::SRConf< T >::SRConf ( const tensorT & vector1 )

inline

explicit ctor with one vector (aka full representation), shallow

References madness::SRConf< T >::has_structure().

template<typename T>

madness::SRConf< T >::SRConf	(	const Tensor< double > &	weights,
		const tensorT &	vector1,
		const tensorT &	vector2,
		const unsigned int &	dim,
		const unsigned int	maxk
	)

inline

explicit ctor with two vectors (aka SVD), shallow

References madness::SRConf< T >::has_structure(), and madness::SRConf< T >::weights().

template<typename T>

madness::SRConf< T >::~SRConf ( )

inline

dtor

Member Function Documentation

template<typename T>

int madness::SRConf< T >::dim_per_vector ( ) const

inline

return the number of physical dimensions

References mpfr::dim().

template<typename T>

const SRConf madness::SRConf< T >::get_configs	(	const int &	start,
		const int &	end
	)		const

inline

return some of the terms of the SRConf (start,..,end), inclusively shallow copy

References mpfr::dim(), madness::SRConf< T >::has_structure(), MADNESS_EXCEPTION, madness::SRConf< T >::ref_vector(), madness::SRConf< T >::type(), and madness::SRConf< T >::weights_.

template<typename T>

bool madness::SRConf< T >::has_data ( ) const

inline

does this have any data?

References madness::TT_FULL.

template<typename T>

bool madness::SRConf< T >::has_structure ( ) const

inline

return if this has a tensor structure (has not been flattened)

References mpfr::dim(), madness::TT_FULL, and madness::SRConf< T >::type().

Referenced by madness::SRConf< T >::get_configs(), madness::SRConf< T >::operator=(), madness::SRConf< T >::orthonormalize(), madness::SRConf< T >::serialize(), and madness::SRConf< T >::SRConf().

template<typename T>

static int madness::SRConf< T >::max_sigma	(	const double &	thresh,
		const int &	rank,
		const Tensor< double > &	w
	)

inlinestatic

return the index of the last singular vector/value to meet the threshold (returns -1 if all meet threshold, i.e. || A ||_2 < threshold) given a matrix A in SVD form, truncate the singular values such that the accuracy threshold is still met.

Parameters