sgpp::combigrid::Ishigami Struct Reference

#include <AnalyticModels.hpp>

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

Public Attributes
std::vector< double >	bounds {0, 1}
double	mean = 3.5
size_t	numDims = 3
double	pi_4 = M_PI * M_PI * M_PI * M_PI
std::vector< double >	sobolIndices {0.3138, 0.4424, 0.0, 0.0, 0.2436, 0.0, 0.0}
double	tolerance = 5e-4
std::vector< double >	totalSobolIndices {0.5574, 0.4424, 0.2436}
double	variance = a * a / 8. + b * pi_4 / 5 + b * b * pi_4 * pi_4 / 18. + 0.5

Static Public Attributes
static constexpr double	a = 7.0
static constexpr double	b = 0.1

Member Function Documentation

eval()

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

inlinestatic

References sgpp::base::DataVector::getSize(), M_PI, sgpp::base::DataVector::mult(), and sgpp::base::DataVector::sub().

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

Member Data Documentation

a

constexpr double sgpp::combigrid::Ishigami::a = 7.0

static

b

constexpr double sgpp::combigrid::Ishigami::b = 0.1

static

bounds

std::vector<double> sgpp::combigrid::Ishigami::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().

mean

double sgpp::combigrid::Ishigami::mean = 3.5

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

numDims

size_t sgpp::combigrid::Ishigami::numDims = 3

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(), sgpp::combigrid::Genz::eval(), 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().

pi_4

double sgpp::combigrid::Ishigami::pi_4 = M_PI * M_PI * M_PI * M_PI

sobolIndices

std::vector<double> sgpp::combigrid::Ishigami::sobolIndices {0.3138, 0.4424, 0.0, 0.0, 0.2436, 0.0, 0.0}

tolerance

double sgpp::combigrid::Ishigami::tolerance = 5e-4

totalSobolIndices

std::vector<double> sgpp::combigrid::Ishigami::totalSobolIndices {0.5574, 0.4424, 0.2436}

variance

double sgpp::combigrid::Ishigami::variance = a * a / 8. + b * pi_4 / 5 + b * b * pi_4 * pi_4 / 18. + 0.5

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

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