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

C

calcEstimate(Index) - Method in class de.torstennahm.integrate.sparse.EstimateIntegrator.InternalIntegrator
 
calls - Variable in class de.torstennahm.integrate.sparse.EstimateIntegrator.EstimateData
 
calls - Variable in class de.torstennahm.integrate.sparse.EvaluateIntegrator.EvalData
 
canEvaluate(Index) - Method in class de.torstennahm.integrate.sparse.evaluateindex.DeltaWeightEvaluator
 
canEvaluate(Index) - Method in interface de.torstennahm.integrate.sparse.evaluateindex.Evaluator
Returns whether the index evaluator can evaluate the given index.
canIntegrate(Index) - Method in class de.torstennahm.integrate.sparse.ProductWeightIntegrator
Returns whether integration is possible with the given index.
ClenshawCurtis - Class in de.torstennahm.integrate.quadratureformula
This class generates the weights for the Clenshaw-Curtis quadrature formula.
ClenshawCurtis() - Constructor for class de.torstennahm.integrate.quadratureformula.ClenshawCurtis
 
compareTo(Object) - Method in class de.torstennahm.integrate.sparse.visualize.ContributionVisualizer.IndexEntry
 
completed - Variable in class de.torstennahm.integrate.sparse.EstimateIntegrator.EstimateData
 
completed - Variable in class de.torstennahm.integrate.sparse.EvaluateIntegrator.EvalData
 
condition - Variable in class de.torstennahm.integrate.sparse.EstimateIntegrator.InternalIntegrator
 
condition - Variable in class de.torstennahm.integrate.sparse.EvaluateIntegrator.InternalIntegrator
 
contribution - Variable in class de.torstennahm.integrate.sparse.EstimateIntegrator.EstimateData
 
contribution - Variable in class de.torstennahm.integrate.sparse.EvaluateIntegrator.EvalData
 
contribution - Variable in class de.torstennahm.integrate.sparse.visualize.IndexContribution
 
ContributionVisualizer - Class in de.torstennahm.integrate.sparse.visualize
This visualizer displays two sets of indices.
ContributionVisualizer(JFrame) - Constructor for class de.torstennahm.integrate.sparse.visualize.ContributionVisualizer
 
ContributionVisualizer.IndexEntry - Class in de.torstennahm.integrate.sparse.visualize
 
ConvergenceEstimator - Class in de.torstennahm.integrate.error
Provides an estimate based on the assumption that the integral values shows logarithmic convergence.
ConvergenceEstimator() - Constructor for class de.torstennahm.integrate.error.ConvergenceEstimator
Create the convergence estimator with a default sample factor of 1.1.
ConvergenceEstimator(double) - Constructor for class de.torstennahm.integrate.error.ConvergenceEstimator
Create the convergence estimator with the specified sample factor.
CorrectValue - Class in de.torstennahm.integrate.visualizerdata
Sends the known correct value for the integral.
CorrectValue(double) - Constructor for class de.torstennahm.integrate.visualizerdata.CorrectValue
 
correctValue - Variable in class de.torstennahm.integrate.visualizerdata.CorrectValue
 
CouldNotEvaluateInfo - Class in de.torstennahm.integrate.sparse
Signifies that an integration index could not be evaluated during the integration process.
CouldNotEvaluateInfo(Evaluator, Index) - Constructor for class de.torstennahm.integrate.sparse.CouldNotEvaluateInfo
 
count - Variable in class de.torstennahm.integrate.sparse.visualize.ContributionVisualizer.IndexEntry
 
currentDimension - Variable in class de.torstennahm.integrate.sparse.EvaluateIntegrator.InternalIntegrator
 

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