Uses of Class org.apache.commons.math4.exception.ConvergenceException (nosqlbench)

Packages that use ConvergenceException
Package	Description
org.apache.commons.math4.analysis.solvers	Root finding algorithms, for univariate real functions.
org.apache.commons.math4.fraction	Fraction number type and fraction number formatting.
org.apache.commons.math4.stat.inference	Classes providing hypothesis testing.

Uses of ConvergenceException in org.apache.commons.math4.analysis.solvers

Methods in org.apache.commons.math4.analysis.solvers that throw ConvergenceException
Modifier and Type	Method	Description
`protected double`	BaseSecantSolver.`doSolve()`	Method for implementing actual optimization algorithms in derived classes.

Uses of ConvergenceException in org.apache.commons.math4.fraction

Subclasses of ConvergenceException in org.apache.commons.math4.fraction
Modifier and Type	Class	Description
`class`	`FractionConversionException`	Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.

Uses of ConvergenceException in org.apache.commons.math4.stat.inference

Methods in org.apache.commons.math4.stat.inference that throw ConvergenceException
Modifier and Type	Method	Description
`double`	OneWayAnova.`anovaPValue(java.util.Collection<double[]> categoryData)`	Computes the ANOVA P-value for a collection of `double[]` arrays.
`double`	OneWayAnova.`anovaPValue(java.util.Collection<SummaryStatistics> categoryData, boolean allowOneElementData)`	Computes the ANOVA P-value for a collection of `SummaryStatistics`.
`boolean`	OneWayAnova.`anovaTest(java.util.Collection<double[]> categoryData, double alpha)`	Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
`double`	MannWhitneyUTest.`mannWhitneyUTest(double[] x, double[] y)`	Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples.
`static double`	InferenceTestUtils.`oneWayAnovaPValue(java.util.Collection<double[]> categoryData)`
`static boolean`	InferenceTestUtils.`oneWayAnovaTest(java.util.Collection<double[]> categoryData, double alpha)`
`double`	WilcoxonSignedRankTest.`wilcoxonSignedRankTest(double[] x, double[] y, boolean exactPValue)`	Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.