sgpp::combigrid::AdaptiveRefinementStrategy Class Reference

This class is a helper class to configure some adaptive refinement methods. More...

#include <AdaptiveRefinementStrategy.hpp>

Public Types
typedef std::function< double(std::vector< double > const &, size_t)>	priority_function

Public Member Functions
	AdaptiveRefinementStrategy (priority_function func)
double	computePriority (std::vector< double > const &predecessorNorms, size_t numNewPoints)

Static Public Member Functions
static AdaptiveRefinementStrategy	arithmeticMeanStrategy ()
static AdaptiveRefinementStrategy	geometricMeanStrategy ()
static AdaptiveRefinementStrategy	maxStrategy ()
static AdaptiveRefinementStrategy	minStrategy ()

Detailed Description

This class is a helper class to configure some adaptive refinement methods.

More precisely, it implements some kind of averaging scores of predecessor levels. Standard averaging techniques are already implemented in static methods.

Member Typedef Documentation

priority_function

typedef std::function<double(std::vector<double> const &, size_t)> sgpp::combigrid::AdaptiveRefinementStrategy::priority_function

Constructor & Destructor Documentation

AdaptiveRefinementStrategy()

sgpp::combigrid::AdaptiveRefinementStrategy::AdaptiveRefinementStrategy ( priority_function  func )

explicit

Referenced by arithmeticMeanStrategy(), geometricMeanStrategy(), maxStrategy(), and minStrategy().

Member Function Documentation

arithmeticMeanStrategy()

AdaptiveRefinementStrategy sgpp::combigrid::AdaptiveRefinementStrategy::arithmeticMeanStrategy ( )

static

References AdaptiveRefinementStrategy(), and python.statsfileInfo::i.

computePriority()

double sgpp::combigrid::AdaptiveRefinementStrategy::computePriority	(	std::vector< double > const &	predecessorNorms,
		size_t	numNewPoints
	)

geometricMeanStrategy()

AdaptiveRefinementStrategy sgpp::combigrid::AdaptiveRefinementStrategy::geometricMeanStrategy ( )

static

References AdaptiveRefinementStrategy(), python.statsfileInfo::i, and sgpp::combigrid::pow().

maxStrategy()

AdaptiveRefinementStrategy sgpp::combigrid::AdaptiveRefinementStrategy::maxStrategy ( )

static

References AdaptiveRefinementStrategy(), and python.statsfileInfo::i.

minStrategy()

AdaptiveRefinementStrategy sgpp::combigrid::AdaptiveRefinementStrategy::minStrategy ( )

static

References AdaptiveRefinementStrategy(), and python.statsfileInfo::i.

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

• combigrid/src/sgpp/combigrid/operation/multidim/AdaptiveRefinementStrategy.hpp
• combigrid/src/sgpp/combigrid/operation/multidim/AdaptiveRefinementStrategy.cpp