sgpp::base::Distribution Class Reference

stores a sparse grid not a knot B-spline interpolant in the framework of a respsonse surface More...

#include <Distribution.hpp>

Inheritance diagram for sgpp::base::Distribution:

Public Member Functions
	Distribution (typename std::chrono::system_clock::duration::rep seed=777)
	Constructor.
virtual double	eval (double x)=0
virtual sgpp::base::DataVector	getBounds ()=0
virtual sgpp::base::DataVector	getCharacteristics ()=0
	return all relevant characteristic values (e.g.
virtual sgpp::base::DistributionType	getType ()=0
virtual double	sample ()=0
sgpp::base::DataVector	samples (size_t num)
virtual	~Distribution ()
	Destructor.

Protected Attributes
std::default_random_engine	gen

Detailed Description

stores a sparse grid not a knot B-spline interpolant in the framework of a respsonse surface

Constructor & Destructor Documentation

Distribution()

sgpp::base::Distribution::Distribution ( typename std::chrono::system_clock::duration::rep  seed = 777 )

inline

Constructor.

Parameters

seed	if a seed should be set, ii.e. for precalculating and reusing grids set one here, otherwise a pseudo random seed is set automatically

References gen.

~Distribution()

virtual sgpp::base::Distribution::~Distribution ( )

inlinevirtual

Destructor.

Member Function Documentation

eval()

virtual double sgpp::base::Distribution::eval ( double  x )

pure virtual

Implemented in sgpp::base::DistributionBeta, sgpp::base::DistributionLogNormal, sgpp::base::DistributionNormal, sgpp::base::DistributionTruncExponential, sgpp::base::DistributionTruncGamma, sgpp::base::DistributionTruncNormal, and sgpp::base::DistributionUniform.

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis::estimateDensity().

getBounds()

virtual sgpp::base::DataVector sgpp::base::Distribution::getBounds ( )

pure virtual

Implemented in sgpp::base::DistributionBeta, sgpp::base::DistributionLogNormal, sgpp::base::DistributionNormal, sgpp::base::DistributionTruncExponential, sgpp::base::DistributionTruncGamma, sgpp::base::DistributionTruncNormal, and sgpp::base::DistributionUniform.

Referenced by python.uq.dists.J.J::discretize(), and python.uq.dists.Dist.Dist::l2error().

getCharacteristics()

virtual sgpp::base::DataVector sgpp::base::Distribution::getCharacteristics ( )

pure virtual

return all relevant characteristic values (e.g.

mean and standarddeviation for normal distribution)

Implemented in sgpp::base::DistributionBeta, sgpp::base::DistributionLogNormal, sgpp::base::DistributionNormal, sgpp::base::DistributionTruncExponential, sgpp::base::DistributionTruncGamma, sgpp::base::DistributionTruncNormal, and sgpp::base::DistributionUniform.

getType()

virtual sgpp::base::DistributionType sgpp::base::Distribution::getType ( )

pure virtual

Implemented in sgpp::base::DistributionBeta, sgpp::base::DistributionLogNormal, sgpp::base::DistributionNormal, sgpp::base::DistributionTruncExponential, sgpp::base::DistributionTruncGamma, sgpp::base::DistributionTruncNormal, and sgpp::base::DistributionUniform.

sample()

virtual double sgpp::base::Distribution::sample ( )

pure virtual

Implemented in sgpp::base::DistributionBeta, sgpp::base::DistributionLogNormal, sgpp::base::DistributionNormal, sgpp::base::DistributionTruncExponential, sgpp::base::DistributionTruncGamma, sgpp::base::DistributionTruncNormal, and sgpp::base::DistributionUniform.

Referenced by python.uq.uq_setting.UQSettingManager.UQSettingManager::do_sampleList(), and samples().

samples()

sgpp::base::DataVector sgpp::base::Distribution::samples

(

size_t

num

)

References sample().

Referenced by python.uq.sampler.Sample.SamplesIterator::__next__(), python.uq.dists.DataDist.DataDist::cdf(), python.uq.dists.DataDist.DataDist::mean(), python.uq.dists.DataDist.DataDist::rvs(), python.uq.dists.LibAGFDist.LibAGFDist::rvs(), python.uq.dists.DataDist.DataDist::toJson(), and python.uq.dists.DataDist.DataDist::var().

Member Data Documentation

gen

std::default_random_engine sgpp::base::Distribution::gen

protected

Referenced by Distribution(), python.uq.uq_setting.UQSettingManager.UQSettingManager::do_sampleList(), python.uq.uq_setting.UQSettingManager.Sampler::reset(), python.uq.uq_setting.UQSettingManager.UQSettingManager::run_distinct_paths(), python.uq.uq_setting.UQSettingManager.UQSettingManager::run_sensitivity(), sgpp::base::DistributionBeta::sample(), sgpp::base::DistributionLogNormal::sample(), sgpp::base::DistributionNormal::sample(), sgpp::base::DistributionTruncExponential::sample(), sgpp::base::DistributionTruncGamma::sample(), sgpp::base::DistributionTruncNormal::sample(), sgpp::base::DistributionUniform::sample(), and python.uq.uq_setting.UQSettingManager.Sampler::unitSample().

---

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

• base/src/sgpp/base/tools/Distribution.hpp
• base/src/sgpp/base/tools/Distribution.cpp