Uses of Class org.apache.commons.math3.exception.ConvergenceException (Apache Commons Math 3.6.1 API)

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

- Packages that use ConvergenceException
  Package | Description
  --- | ---
  org.apache.commons.math3.analysis.solvers | Root finding algorithms, for univariate real functions.
  org.apache.commons.math3.fraction | Fraction number type and fraction number formatting.
  org.apache.commons.math3.geometry.euclidean.twod.hull | This package provides algorithms to generate the convex hull for a set of points in an two-dimensional euclidean space.
  org.apache.commons.math3.geometry.hull | This package provides interfaces and classes related to the convex hull problem.
  org.apache.commons.math3.ml.clustering | Clustering algorithms.
  org.apache.commons.math3.special | Implementations of special functions such as Beta and Gamma.
  org.apache.commons.math3.stat.clustering | All classes and sub-packages of this package are deprecated.
  org.apache.commons.math3.stat.inference | Classes providing hypothesis testing.
  org.apache.commons.math3.util | Convenience routines and common data structures used throughout the commons-math library.

- - ### Uses of ConvergenceException in org.apache.commons.math3.analysis.solvers

    Methods in org.apache.commons.math3.analysis.solvers that throw ConvergenceException
    Modifier and Type | Method and Description
    --- | ---
    `protected double` | BaseSecantSolver.`doSolve()` Method for implementing actual optimization algorithms in derived classes.

  - ### 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.geometry.euclidean.twod.hull

    Methods in org.apache.commons.math3.geometry.euclidean.twod.hull that throw ConvergenceException
    Modifier and Type | Method and Description
    --- | ---
    `ConvexHull2D` | ConvexHullGenerator2D.`generate(Collection<Vector2D> points)` Builds the convex hull from the set of input points.

  - ### Uses of ConvergenceException in org.apache.commons.math3.geometry.hull

    Methods in org.apache.commons.math3.geometry.hull that throw ConvergenceException
    Modifier and Type | Method and Description
    --- | ---
    `ConvexHull<S,P>` | ConvexHullGenerator.`generate(Collection<P> points)` Builds the convex hull from the set of input points.

  - ### Uses of ConvergenceException in org.apache.commons.math3.ml.clustering

    Methods in org.apache.commons.math3.ml.clustering that throw ConvergenceException
    Modifier and Type | Method and Description
    --- | ---
    `List<CentroidCluster<T>>` | KMeansPlusPlusClusterer.`cluster(Collection<T> points)` Runs the K-means++ clustering algorithm.
    `abstract List<? extends Cluster<T>>` | Clusterer.`cluster(Collection<T> points)` Perform a cluster analysis on the given set of `Clusterable` instances.
    `List<CentroidCluster<T>>` | MultiKMeansPlusPlusClusterer.`cluster(Collection<T> points)` Runs the K-means++ clustering algorithm.

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

    Methods in org.apache.commons.math3.special that throw ConvergenceException
    Modifier and Type | Method and Description
    --- | ---
    `double` | BesselJ.`value(double x)` Returns the value of the constructed Bessel function of the first kind, for the passed argument.
    `static double` | BesselJ.`value(double order, double x)` Returns the first Bessel function, \(J_{order}(x)\).

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

    Methods in org.apache.commons.math3.stat.clustering that throw ConvergenceException
    Modifier and Type | Method and Description
    --- | ---
    `List<Cluster<T>>` | KMeansPlusPlusClusterer.`cluster(Collection<T> points, int k, int maxIterations)` Deprecated. Runs the K-means++ clustering algorithm.
    `List<Cluster<T>>` | KMeansPlusPlusClusterer.`cluster(Collection<T> points, int k, int numTrials, int maxIterationsPerTrial)` Deprecated. Runs the K-means++ clustering algorithm.

  - ### 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.
    `double` | OneWayAnova.`anovaPValue(Collection<SummaryStatistics> categoryData, boolean allowOneElementData)` Computes the ANOVA P-value for a collection of `SummaryStatistics`.
    `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.

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

    Methods in org.apache.commons.math3.util that throw ConvergenceException
    Modifier and Type | Method and Description
    --- | ---
    `double` | ContinuedFraction.`evaluate(double x)` Evaluates the continued fraction at the value x.
    `double` | ContinuedFraction.`evaluate(double x, double epsilon)` Evaluates the continued fraction at the value x.
    `double` | ContinuedFraction.`evaluate(double x, double epsilon, int maxIterations)` Evaluates the continued fraction at the value x.
    `double` | ContinuedFraction.`evaluate(double x, int maxIterations)` Evaluates the continued fraction at the value x.

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