## Uses of Class
org.apache.commons.math3.exception.ConvergenceException

- Packages that use ConvergenceException
  Package | Description
  --- | ---
  org.apache.commons.math3.fraction | Fraction number type and fraction number formatting.
  org.apache.commons.math3.ode.events | This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.
  org.apache.commons.math3.stat.inference | Classes providing hypothesis testing and confidence interval construction.

- - ### Uses of ConvergenceException in org.apache.commons.math3.fraction

    Subclasses of ConvergenceException in org.apache.commons.math3.fraction
    Modifier and Type | Class and 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.math3.ode.events

    Methods in org.apache.commons.math3.ode.events that throw ConvergenceException
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | EventState.`evaluateStep(StepInterpolator interpolator)` Evaluate the impact of the proposed step on the event handler.

  - ### Uses of ConvergenceException in org.apache.commons.math3.stat.inference

    Methods in org.apache.commons.math3.stat.inference that throw ConvergenceException
    Modifier and Type | Method and Description
    --- | ---
    `double` | OneWayAnova.`anovaPValue(Collection<double[]> categoryData)` Computes the ANOVA P-value for a collection of `double[]` arrays.
    `boolean` | OneWayAnova.`anovaTest(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` | TestUtils.`oneWayAnovaPValue(Collection<double[]> categoryData)`
    `static boolean` | TestUtils.`oneWayAnovaTest(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.

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