Uses of Interface
de.torstennahm.integrate.sparse.evaluateindex.Evaluator

Packages that use Evaluator

de.torstennahm.integrate.sparse	This package provides routines for multi-dimensional integration using the sparse grid algorithm and its adaptive version.
de.torstennahm.integrate.sparse.evaluateindex	Provides routines for the evaluation of indexes form the adaptive sparse integration index set.

Uses of Evaluator in de.torstennahm.integrate.sparse

Fields in de.torstennahm.integrate.sparse declared as Evaluator

protected Evaluator	EstimateIntegrator.InternalIntegrator.evaluator
protected Evaluator	EvaluateIntegrator.InternalIntegrator.evaluator

Methods in de.torstennahm.integrate.sparse with parameters of type Evaluator

IntegrationResult	SimplexIntegrator.integrate(Evaluator evaluator, StopCondition condition, java.util.List<Visualizer> visualizers)
IntegrationResult	EstimateIntegrator.integrate(Evaluator evaluator, StopCondition condition, java.util.List<Visualizer> visualizers)
IntegrationResult	WeightedIntegrator.integrate(Evaluator evaluator, StopCondition condition, java.util.List<Visualizer> visualizers)
IntegrationResult	EvaluateIntegrator.integrate(Evaluator evaluator, StopCondition condition, java.util.List<Visualizer> visualizers)

Constructors in de.torstennahm.integrate.sparse with parameters of type Evaluator

CouldNotEvaluateInfo(Evaluator evaluator, Index index)

Uses of Evaluator in de.torstennahm.integrate.sparse.evaluateindex

Classes in de.torstennahm.integrate.sparse.evaluateindex that implement Evaluator

class

DeltaWeightEvaluator Performs index evaluation using delta quadrature formulas generated from a quadrature formula generator.