sgpp::base::SurplusCoarseningFunctor Class Reference

A coarsening functor, removing points according to the minimal absolute values in a DataVector provided. More...

#include <SurplusCoarseningFunctor.hpp>

Inheritance diagram for sgpp::base::SurplusCoarseningFunctor:

Public Member Functions
double	getCoarseningThreshold () const override
	Returns the threshold value. More...
size_t	getRemovementsNum () const override
	Returns the maximal number of points that should be removed. More...
double	operator() (GridStorage &storage, size_t seq) override
	This should be returning a coarsening value for every grid point. More...
double	start () const override
	This should return the initial value of coarsening criterion (e.g. More...
	SurplusCoarseningFunctor (DataVector &alpha, size_t removements_num=1, double threshold=0.0)
	Constructor. More...
	~SurplusCoarseningFunctor () override
	Destructor. More...
Public Member Functions inherited from sgpp::base::CoarseningFunctor
	CoarseningFunctor ()
	Constructor. More...
virtual	~CoarseningFunctor ()
	Destructor. More...

Protected Attributes
DataVector &	alpha
	pointer to the vector that stores the alpha values More...
size_t	removements_num
	number of grid points to remove More...
double	threshold
	threshold, only the points with greater to equal absolute values of the refinement criterion (e.g. More...

Additional Inherited Members
Public Types inherited from sgpp::base::CoarseningFunctor
typedef double	value_type

Detailed Description

A coarsening functor, removing points according to the minimal absolute values in a DataVector provided.

Constructor & Destructor Documentation

SurplusCoarseningFunctor()

sgpp::base::SurplusCoarseningFunctor::SurplusCoarseningFunctor	(	DataVector &	alpha,
		size_t	removements_num = 1,
		double	threshold = 0.0
	)

Constructor.

Parameters

alpha	DataVector that is basis for coarsening decisions. The i-th entry corresponds to the i-th grid point.
removements_num	Number of grid points which should be removed (if possible - there could be less removable grid points)
threshold	The absolute value of the entries have to be less or equal than the threshold to be considered for coarsening

~SurplusCoarseningFunctor()

sgpp::base::SurplusCoarseningFunctor::~SurplusCoarseningFunctor ( )

override

Destructor.

Member Function Documentation

getCoarseningThreshold()

double sgpp::base::SurplusCoarseningFunctor::getCoarseningThreshold ( ) const

overridevirtual

Returns the threshold value.

Only the grid points with absolute value of coarsening criterion (e.g. alpha) less or equal to this threshold will be removed

Returns

threshold value for refinement. Default value: 0.

Implements sgpp::base::CoarseningFunctor.

References threshold.

getRemovementsNum()

size_t sgpp::base::SurplusCoarseningFunctor::getRemovementsNum ( ) const

overridevirtual

Returns the maximal number of points that should be removed.

The maximal number of points to removed is set in the constructor of implementation class.

Returns

number of points that should removed. Default value: 1.

Reimplemented from sgpp::base::CoarseningFunctor.

References removements_num.

operator()()

double sgpp::base::SurplusCoarseningFunctor::operator() ( GridStorage &  storage, size_t  seq  )

overridevirtual

This should be returning a coarsening value for every grid point.

The point with the lowest value will be removed first.

Parameters

storage	reference to the grids storage object
seq	sequence number in the coefficients array

Returns

refinement value

Implements sgpp::base::CoarseningFunctor.

References alpha.

start()

double sgpp::base::SurplusCoarseningFunctor::start ( ) const

overridevirtual

This should return the initial value of coarsening criterion (e.g.

alpha or error).

Returns

the initial value

Implements sgpp::base::CoarseningFunctor.

Member Data Documentation

alpha

DataVector& sgpp::base::SurplusCoarseningFunctor::alpha

protected

pointer to the vector that stores the alpha values

Referenced by python.learner.Learner.Learner::doLearningIteration(), python.uq.learner.Regressor.Regressor::learnData(), python.learner.Learner.Learner::learnData(), python.uq.learner.Interpolant.Interpolant::learnDataWithTest(), python.learner.Learner.Learner::learnDataWithTest(), operator()(), python.uq.dists.SGDEdist.SGDEdist::pdf(), python.learner.Classifier.Classifier::refineGrid(), and python.uq.dists.SGDEdist.SGDEdist::toJson().

removements_num

size_t sgpp::base::SurplusCoarseningFunctor::removements_num

protected

number of grid points to remove

Referenced by getRemovementsNum().

threshold

double sgpp::base::SurplusCoarseningFunctor::threshold

protected

threshold, only the points with greater to equal absolute values of the refinement criterion (e.g.

alpha or error) will be refined

Referenced by getCoarseningThreshold().

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

• base/src/sgpp/base/grid/generation/functors/SurplusCoarseningFunctor.hpp
• base/src/sgpp/base/grid/generation/functors/SurplusCoarseningFunctor.cpp