Uses of Class
de.torstennahm.integrate.IntegrationFailedException

Packages that use IntegrationFailedException

de.torstennahm.integrate	This package and its subpackages provide routines for multi-dimensional integration.
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 IntegrationFailedException in de.torstennahm.integrate

Methods in de.torstennahm.integrate that throw IntegrationFailedException

IntegrationResult	ProductIntegrator.integrate(de.torstennahm.math.Function integrand, StopCondition condition, java.util.List<Visualizer> visualizers)
IntegrationResult	Integrator.integrate(I integrand, StopCondition condition) Convenience method for integration run without visualizers.
abstract IntegrationResult	Integrator.integrate(I integrand, StopCondition condition, java.util.List<Visualizer> visualizers) Performs numerical integration of the integrand until the given condition is fulfilled.
IntegrationResult	Integrator.integrateAbsTol(I integrand, double absoluteTolerance) Convenience method for integration until the absolute estimated error is less than than the specified threshold.
IntegrationResult	Integrator.integrateAbsTol(I integrand, double absoluteTolerance, java.util.List<Visualizer> visualizers) Convenience method for integration with visualizers until the absolute estimated error is less than than the specified threshold.
IntegrationResult	Integrator.integrateByPoints(I integrand, long evals) Convenience method for integration until the specified number of evaluations has been reached.
IntegrationResult	Integrator.integrateByPoints(I integrand, long evals, java.util.List<Visualizer> visualizers) Convenience method for integration with visualizers until the specified number of evaluations has been reached.
IntegrationResult	Integrator.integrateRelTol(I integrand, double relativeTolerance) Convenience method for integration until the absolute estimated error is less than than the specified threshold.
IntegrationResult	Integrator.integrateRelTol(I integrand, double relativeTolerance, java.util.List<Visualizer> visualizers) Convenience method for integration with visualizers until the relative estimated error is less than than the specified threshold.

Uses of IntegrationFailedException in de.torstennahm.integrate.sparse

Methods in de.torstennahm.integrate.sparse that throw IntegrationFailedException

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)
IntegrationResult	DefaultSparseIntegrator.integrate(de.torstennahm.math.Function function, StopCondition condition, java.util.List<Visualizer> visualizers)
double	ProductWeightIntegrator.integrateWithIndex(de.torstennahm.math.Function function, Index index) Integrates the function at the specified index by using the tensor product of one-dimensional quadrature formulas.
double	ProductWeightIntegrator.integrateWithNodes(de.torstennahm.math.Function function, int[] nodes)

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

Methods in de.torstennahm.integrate.sparse.evaluateindex that throw IntegrationFailedException

double	Evaluator.deltaEvaluate(Index index) Evaluates the integration function for the given integration index.
double	DeltaWeightEvaluator.deltaEvaluate(Index index)