SG++
Static Public Member Functions | Public Attributes | Static Public Attributes | List of all members
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

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

constexpr double sgpp::combigrid::Ishigami::a = 7.0
static
constexpr double sgpp::combigrid::Ishigami::b = 0.1
static
std::vector<double> sgpp::combigrid::Ishigami::bounds {0, 1}
double sgpp::combigrid::Ishigami::mean = 3.5

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

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().

double sgpp::combigrid::Ishigami::pi_4 = M_PI * M_PI * M_PI * M_PI
std::vector<double> sgpp::combigrid::Ishigami::sobolIndices {0.3138, 0.4424, 0.0, 0.0, 0.2436, 0.0, 0.0}
double sgpp::combigrid::Ishigami::tolerance = 5e-4
std::vector<double> sgpp::combigrid::Ishigami::totalSobolIndices {0.5574, 0.4424, 0.2436}
double sgpp::combigrid::Ishigami::variance = a * a / 8. + b * pi_4 / 5 + b * b * pi_4 * pi_4 / 18. + 0.5
The documentation for this struct was generated from the following file: