A C D E F G H I J L M N O P Q R S T U V W Z

I

Index - Interface in de.torstennahm.integrate.sparse.index

Models a multi-index of infinite dimension.

index - Variable in class de.torstennahm.integrate.sparse.visualize.IndexVisualizerData

IndexContribution - Class in de.torstennahm.integrate.sparse.visualize

IndexContribution(Index, double) - Constructor for class de.torstennahm.integrate.sparse.visualize.IndexContribution

IndexContributionEstimate - Class in de.torstennahm.integrate.sparse.visualize

IndexContributionEstimate(Index, double) - Constructor for class de.torstennahm.integrate.sparse.visualize.IndexContributionEstimate

indexMap - Variable in class de.torstennahm.integrate.sparse.EstimateIntegrator.InternalIntegrator

indexMap - Variable in class de.torstennahm.integrate.sparse.EvaluateIntegrator.InternalIntegrator

IndexStatus - Class in de.torstennahm.integrate.sparse.visualize

IndexStatus(Index, String) - Constructor for class de.torstennahm.integrate.sparse.visualize.IndexStatus

IndexVisualizerData - Class in de.torstennahm.integrate.sparse.visualize

IndexVisualizerData(Index) - Constructor for class de.torstennahm.integrate.sparse.visualize.IndexVisualizerData

init() - Method in class de.torstennahm.integrate.sparse.visualize.ContributionVisualizer

init() - Method in class de.torstennahm.integrate.sparse.visualize.ExtentVisualizer

init() - Method in class de.torstennahm.integrate.sparse.visualize.GridVisualizer

init() - Method in class de.torstennahm.integrate.visualize.ResultVisualizer

init() - Method in class de.torstennahm.integrate.visualize.SpreadSheetVisualizer

init() - Method in interface de.torstennahm.integrate.visualize.Visualizer

Initializes the visualizer for use.

initList(List<Visualizer>) - Static method in class de.torstennahm.integrate.visualize.Visualizers

Integrand - Class in de.torstennahm.integrate.visualizerdata

Sends the integrand object.

Integrand(Object) - Constructor for class de.torstennahm.integrate.visualizerdata.Integrand

integrand - Variable in class de.torstennahm.integrate.visualizerdata.Integrand

integrate(I, StopCondition, List<Visualizer>) - Method in class de.torstennahm.integrate.Integrator

Performs numerical integration of the integrand until the given condition is fulfilled.

integrate(I, StopCondition) - Method in class de.torstennahm.integrate.Integrator

Convenience method for integration run without visualizers.

integrate(Function, StopCondition, List<Visualizer>) - Method in class de.torstennahm.integrate.MCIntegrator

integrate(Function, StopCondition, List<Visualizer>) - Method in class de.torstennahm.integrate.ProductIntegrator

integrate(Function, StopCondition, List<Visualizer>) - Method in class de.torstennahm.integrate.QMCIntegrator

integrate(Function, StopCondition, List<Visualizer>) - Method in class de.torstennahm.integrate.sparse.DefaultSparseIntegrator

integrate(Evaluator, StopCondition, List<Visualizer>) - Method in class de.torstennahm.integrate.sparse.EstimateIntegrator

integrate(Evaluator, StopCondition, List<Visualizer>) - Method in class de.torstennahm.integrate.sparse.EvaluateIntegrator

integrate(Evaluator, StopCondition, List<Visualizer>) - Method in class de.torstennahm.integrate.sparse.SimplexIntegrator

integrate(Evaluator, StopCondition, List<Visualizer>) - Method in class de.torstennahm.integrate.sparse.WeightedIntegrator

integrateAbsTol(I, double) - Method in class de.torstennahm.integrate.Integrator

Convenience method for integration until the absolute estimated error is less than than the specified threshold.

integrateAbsTol(I, double, List<Visualizer>) - Method in class de.torstennahm.integrate.Integrator

Convenience method for integration with visualizers until the absolute estimated error is less than than the specified threshold.

integrateByPoints(I, long) - Method in class de.torstennahm.integrate.Integrator

Convenience method for integration until the specified number of evaluations has been reached.

integrateByPoints(I, long, List<Visualizer>) - Method in class de.torstennahm.integrate.Integrator

Convenience method for integration with visualizers until the specified number of evaluations has been reached.

integrateRelTol(I, double) - Method in class de.torstennahm.integrate.Integrator

Convenience method for integration until the absolute estimated error is less than than the specified threshold.

integrateRelTol(I, double, List<Visualizer>) - Method in class de.torstennahm.integrate.Integrator

Convenience method for integration with visualizers until the relative estimated error is less than than the specified threshold.

integrateWithIndex(Function, Index) - Method in class de.torstennahm.integrate.sparse.ProductWeightIntegrator

Integrates the function at the specified index by using the tensor product of one-dimensional quadrature formulas.

integrateWithNodes(Function, int[]) - Method in class de.torstennahm.integrate.sparse.ProductWeightIntegrator

IntegrationFailedException - Exception in de.torstennahm.integrate

This exception is thrown if the integration cannot be completed.

IntegrationFailedException() - Constructor for exception de.torstennahm.integrate.IntegrationFailedException

Constructs a new exception with null as its detail message.

IntegrationFailedException(String) - Constructor for exception de.torstennahm.integrate.IntegrationFailedException

Constructs a new exception with the specified detail message.

IntegrationInfo - Class in de.torstennahm.integrate

Provides additional information for an IntegrationResult.

IntegrationInfo(String) - Constructor for class de.torstennahm.integrate.IntegrationInfo

IntegrationResult - Interface in de.torstennahm.integrate

This interface models the result of an integration.

Integrator<I> - Class in de.torstennahm.integrate

The integrator performs integration of the integrand until a specified condition is reached.

Integrator() - Constructor for class de.torstennahm.integrate.Integrator

IterativeConvergenceEstimator - Class in de.torstennahm.integrate.error

Provides an estimate based on the assumption that the integral values shows logarithmic convergence.

IterativeConvergenceEstimator() - Constructor for class de.torstennahm.integrate.error.IterativeConvergenceEstimator

Create the convergence estimator with a default sample factor of 1.1.

IterativeConvergenceEstimator(double) - Constructor for class de.torstennahm.integrate.error.IterativeConvergenceEstimator

Create the convergence estimator with the specified sample factor.

iterator() - Method in class de.torstennahm.integrate.sparse.index.FastIndex

iterator() - Method in interface de.torstennahm.integrate.sparse.index.Index

Returns an IntPairIterator for iterating over the index.

iterator() - Method in class de.torstennahm.integrate.sparse.index.StackedIndex