sgpp::combigrid::Parabola Struct Reference

#include <AnalyticModels.hpp>

Static Public Member Functions
static double	eval (sgpp::base::DataVector const &v)

Public Attributes
double	alpha1 = 5.0
double	alpha2 = 3.0
double	beta1 = 4.0
double	beta2 = 2.0
std::vector< double >	bounds {0, 1}
double	c1 = std::tgamma(alpha1 + beta1) / (std::tgamma(alpha1) * std::tgamma(beta1))
double	c2 = std::tgamma(alpha2 + beta2) / (std::tgamma(alpha2) * std::tgamma(beta2))
double	mean = c1 * c2 / 4725.0
size_t	numDims = 2
double	tolerance = 1e-13
double	variance

Member Function Documentation

eval()

static double sgpp::combigrid::Parabola::eval ( sgpp::base::DataVector const &  v )

inlinestatic

References sgpp::base::DataVector::getSize().

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

Member Data Documentation

alpha1

double sgpp::combigrid::Parabola::alpha1 = 5.0

alpha2

double sgpp::combigrid::Parabola::alpha2 = 3.0

beta1

double sgpp::combigrid::Parabola::beta1 = 4.0

beta2

double sgpp::combigrid::Parabola::beta2 = 2.0

bounds

std::vector<double> sgpp::combigrid::Parabola::bounds {0, 1}

Referenced by python.uq.dists.SGDEdist.SGDEdist::cov(), python.uq.dists.EstimatedDist.EstimatedDist::getBounds(), python.uq.dists.NatafDist.NatafDist::getBounds(), python.uq.dists.LibAGFDist.LibAGFDist::getBounds(), python.uq.dists.SGDEdist.SGDEdist::getJointTransformation(), python.uq.dists.SGDEdist.SGDEdist::marginalize(), python.uq.dists.NatafDist.NatafDist::marginalizeToDimX(), python.uq.dists.SGDEdist.SGDEdist::marginalizeToDimX(), python.uq.dists.KDEDist.KDEDist::toJson(), python.uq.dists.NatafDist.NatafDist::toJson(), and python.uq.dists.SGDEdist.SGDEdist::toJson().

c1

double sgpp::combigrid::Parabola::c1 = std::tgamma(alpha1 + beta1) / (std::tgamma(alpha1) * std::tgamma(beta1))

c2

double sgpp::combigrid::Parabola::c2 = std::tgamma(alpha2 + beta2) / (std::tgamma(alpha2) * std::tgamma(beta2))

mean

double sgpp::combigrid::Parabola::mean = c1 * c2 / 4725.0

Referenced by python.uq.analysis.mc.MCAnalysis.MCAnalysis::computeMoments(), python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis::computeMoments(), python.uq.dists.LibAGFDist.LibAGFDist::var(), and python.uq.dists.SGDEdist.SGDEdist::var().

numDims

size_t sgpp::combigrid::Parabola::numDims = 2

Referenced by python.uq.operations.forcePositivity.operationMakePositiveFast.OperationMakePositiveFast::addFullGridPoints(), python.uq.operations.forcePositivity.localHierarchicalIntersectionSearch.LocalHierarchicalIntersectionCandidates::computeAnisotropicFullGrid(), python.uq.operations.forcePositivity.localHierarchicalIntersectionSearch.LocalHierarchicalIntersectionCandidates::computeCandidates(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGridCandidates::computeCandidates(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid::computeGlobalFullGrid(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGridCandidates::findInnerIntersection(), python.uq.operations.forcePositivity.localHierarchicalIntersectionSearch.LocalHierarchicalIntersectionCandidates::findIntersectionsOfOverlappingSuppportsForOneGridPoint(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGridCandidates::findIntersectionsOfOverlappingSuppportsForOneGridPoint(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGridCandidates::findOuterIntersection(), python.uq.operations.forcePositivity.localHierarchicalIntersectionSearch.LocalHierarchicalIntersectionCandidates::getLocalFullGridLevel(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGridCandidates::getLocalFullGridLevel(), python.uq.operations.forcePositivity.localHierarchicalIntersectionSearch.LocalHierarchicalIntersectionCandidates::getLocalMaxLevel(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGridCandidates::getLocalMaxLevel(), python.uq.operations.forcePositivity.operationMakePositiveFast.OperationMakePositiveFast::makePositive(), python.uq.models.testEnvironments.ProbabilisticSpaceSGpp::normal(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGridCandidates::splitFullGrids(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGridCandidates::splitLocalFullGrids(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid::transformToReferenceGrid(), and python.uq.models.testEnvironments.ProbabilisticSpaceSGpp::uniform().

tolerance

double sgpp::combigrid::Parabola::tolerance = 1e-13

variance

double sgpp::combigrid::Parabola::variance

Initial value:

= c1 * c1 * c1 * c2 * c2 * c2 / 75014100000.0 -
                    2 * c1 * c1 * c2 * c2 / 22325625.0 + 4.0 * c1 * c2 / 24255.0

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The documentation for this struct was generated from the following file:

• combigrid/src/sgpp/combigrid/utils/AnalyticModels.hpp