Refinement related classes, structures, and methods

Collaboration diagram for Refinement related classes, structures, and methods:

Files
file	tsgDConstructGridGlobal.hpp
	Class and data types used for dynamic construction of Global grids.

Classes
struct	TasGrid::NodeData
	Holds the pair of point index and model value, the struct is used in a std::forward_list. More...
struct	TasGrid::TensorData
	Holds the description of a single tensor candidate for inclusion into the grid. More...
class	TasGrid::DynamicConstructorDataGlobal
	Helper class that stores data from dynamic construction of a Global grid. More...
struct	TasGrid::SimpleConstructData
	Holds a std::forward_list of pairs of points indexes and values, and a MultiIndexSet of initial nodes. More...

Functions
template<class T >
std::vector< const T * >	TasGrid::makeReverseReferenceVector (const std::forward_list< T > &list)
	Takes a list and creates a vector of references in reversed order, needed for I/O so that read can be followed by push_front. . More...
template<bool use_ascii>
void	TasGrid::writeNodeDataList (const std::forward_list< NodeData > &data, std::ostream &os)
	Writes a NodeData std::forward_list to a file using either binary or ascii format. . More...
template<typename iomode >
std::forward_list< NodeData >	TasGrid::readNodeDataList (std::istream &is, size_t num_dimensions, size_t num_outputs)
	Reads a NodeData std::forward_list from a file using either binary or ascii format. . More...
template<typename iomode >
std::forward_list< TensorData >	TasGrid::readTensorDataList (std::istream &is, size_t num_dimensions)
	Reads a TensorData std::forward_list from a file using either binary or ascii format. More...
template<class RuleLike >
std::vector< double >	TasGrid::listToNodes (std::forward_list< NodeData > const &node_list, size_t num_dimensions, RuleLike const &rule)
	Using MultiIndexManipulations::indexesToNodes() convert the node_list to actual points according to the rule. More...
template<typename callable_method >
std::vector< double >	TasGrid::listToLocalNodes (std::forward_list< NodeData > const &node_list, size_t num_dimensions, callable_method rule)
	Using MultiIndexManipulations::indexesToNodes() convert the node_list to actual points according to the rule. More...

Detailed Description

Adaptive Refinement

The most efficient sparse grids approximation strategies are adaptive, i.e., the grid is constructed to best capture the behavior of the specific target model. Adapting a grid requires analysis of the existing loaded model values followed by a decision on how to best expand the grid. Sometimes the complexity of the refinement algorithms requires additional data storage and methods implemented outside of the main grid classes.

Function Documentation

makeReverseReferenceVector()

template<class T >

std::vector<const T*> TasGrid::makeReverseReferenceVector

(

const std::forward_list< T > &

list

)

Takes a list and creates a vector of references in reversed order, needed for I/O so that read can be followed by push_front. .

writeNodeDataList()

template<bool use_ascii>

void TasGrid::writeNodeDataList	(	const std::forward_list< NodeData > &	data,
		std::ostream &	os
	)

Writes a NodeData std::forward_list to a file using either binary or ascii format. .

readNodeDataList()

template<typename iomode >

std::forward_list<NodeData> TasGrid::readNodeDataList	(	std::istream &	is,
		size_t	num_dimensions,
		size_t	num_outputs
	)

Reads a NodeData std::forward_list from a file using either binary or ascii format. .

readTensorDataList()

template<typename iomode >

std::forward_list<TensorData> TasGrid::readTensorDataList	(	std::istream &	is,
		size_t	num_dimensions
	)

Reads a TensorData std::forward_list from a file using either binary or ascii format.

listToNodes()

template<class RuleLike >

std::vector<double> TasGrid::listToNodes	(	std::forward_list< NodeData > const &	node_list,
		size_t	num_dimensions,
		RuleLike const &	rule
	)

Using MultiIndexManipulations::indexesToNodes() convert the node_list to actual points according to the rule.

listToLocalNodes()

template<typename callable_method >

std::vector<double> TasGrid::listToLocalNodes	(	std::forward_list< NodeData > const &	node_list,
		size_t	num_dimensions,
		callable_method	rule
	)

Using MultiIndexManipulations::indexesToNodes() convert the node_list to actual points according to the rule.