#include <FullGridVarianceSummationStrategy.hpp>
◆ FullGridVarianceSummationStrategy()
Constructor.
- Parameters
-
storage | Storage that stores and provides the function values for each grid point. |
scalarProductEvaluatorPrototypes | prototype objects for the evaluators that are cloned to get an evaluator for each dimension and each level. |
pointHierarchies | PointHierarchy objects for each dimension providing the points for each level and information about their ordering. |
◆ ~FullGridVarianceSummationStrategy()
◆ eval()
Calculates the variance by calculating the mean via B spline Quadrature and the mean of f^2 via B spline scalar products.
Implements sgpp::combigrid::AbstractFullGridSummationStrategy< V >.
References chess::b, sgpp::combigrid::CombiEvaluators::createCombiScalarEvaluator(), sgpp::combigrid::EvaluatorConfiguration::degree, sgpp::combigrid::FullGridLinearSummationStrategy< V >::eval(), sgpp::combigrid::FullGridQuadraticSummationStrategy< V >::eval(), sgpp::combigrid::AbstractFullGridSummationStrategy< V >::evaluatorPrototypes, python.datasetAnalysis::mean, sgpp::combigrid::Multi_BSplineScalarProduct, sgpp::combigrid::Multi_PolynomialScalarProduct, sgpp::combigrid::AbstractFullGridSummationStrategy< V >::pointHierarchies, sgpp::combigrid::Scalar_BSplineQuadrature, sgpp::combigrid::Scalar_PolynomialQuadrature, sgpp::combigrid::AbstractFullGridSummationStrategy< V >::storage, sgpp::combigrid::FloatScalarVector::sub(), sgpp::combigrid::EvaluatorConfiguration::type, and python.utils.pca_normalize_dataset::V.
Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis::estimateDensity().
The documentation for this class was generated from the following file: