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Packages that use IntegrationFailedException | |
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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 |
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Methods in de.torstennahm.integrate that throw IntegrationFailedException | |
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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 |
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Methods in de.torstennahm.integrate.sparse that throw IntegrationFailedException | |
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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 |
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Methods in de.torstennahm.integrate.sparse.evaluateindex that throw IntegrationFailedException | |
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double |
Evaluator.deltaEvaluate(Index index)
Evaluates the integration function for the given integration index. |
double |
DeltaWeightEvaluator.deltaEvaluate(Index index)
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