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.fitting.leastsquares	This package provides algorithms that minimize the residuals between observations and model values.
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.optim.nonlinear.vector.jacobian	This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optimization.general	This package provides optimization algorithms that require derivatives.
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	Description
protected final double	BaseSecantSolver.doSolve()	Method for implementing actual optimization algorithms in derived classes.

Uses of ConvergenceException in org.apache.commons.math3.fitting.leastsquares

Methods in org.apache.commons.math3.fitting.leastsquares that throw ConvergenceException

Modifier and Type	Method	Description
private LevenbergMarquardtOptimizer.InternalData	LevenbergMarquardtOptimizer.qrDecomposition(RealMatrix jacobian, int solvedCols)	Decompose a matrix A as A.P = Q.R using Householder transforms.

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

Subclasses of ConvergenceException in org.apache.commons.math3.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.math3.geometry.euclidean.twod.hull

Methods in org.apache.commons.math3.geometry.euclidean.twod.hull that throw ConvergenceException

Modifier and Type	Method	Description
ConvexHull2D	AbstractConvexHullGenerator2D.generate(Collection<Vector2D> points)	Builds the convex hull from the set of input points.
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	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	Description
abstract List<? extends Cluster<T>>	Clusterer.cluster(Collection<T> points)	Perform a cluster analysis on the given set of Clusterable instances.
List<CentroidCluster<T>>	KMeansPlusPlusClusterer.cluster(Collection<T> points)	Runs the K-means++ clustering algorithm.
List<CentroidCluster<T>>	MultiKMeansPlusPlusClusterer.cluster(Collection<T> points)	Runs the K-means++ clustering algorithm.
private T	KMeansPlusPlusClusterer.getFarthestPoint(Collection<CentroidCluster<T>> clusters)	Get the point farthest to its cluster center
private T	KMeansPlusPlusClusterer.getPointFromLargestNumberCluster(Collection<? extends Cluster<T>> clusters)	Get a random point from the Cluster with the largest number of points
private T	KMeansPlusPlusClusterer.getPointFromLargestVarianceCluster(Collection<CentroidCluster<T>> clusters)	Get a random point from the Cluster with the largest distance variance.

Uses of ConvergenceException in org.apache.commons.math3.optim.nonlinear.vector.jacobian

Methods in org.apache.commons.math3.optim.nonlinear.vector.jacobian that throw ConvergenceException

Modifier and Type	Method	Description
private void	LevenbergMarquardtOptimizer.qrDecomposition(RealMatrix jacobian)	Deprecated. Decompose a matrix A as A.P = Q.R using Householder transforms.

Uses of ConvergenceException in org.apache.commons.math3.optimization.general

Methods in org.apache.commons.math3.optimization.general that throw ConvergenceException

Modifier and Type	Method	Description
private void	LevenbergMarquardtOptimizer.qrDecomposition(RealMatrix jacobian)	Deprecated. Decompose a matrix A as A.P = Q.R using Householder transforms.

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

Methods in org.apache.commons.math3.special that throw ConvergenceException

Modifier and Type	Method	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	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.
private T	KMeansPlusPlusClusterer.getFarthestPoint(Collection<Cluster<T>> clusters)	Deprecated. Get the point farthest to its cluster center
private T	KMeansPlusPlusClusterer.getPointFromLargestNumberCluster(Collection<Cluster<T>> clusters)	Deprecated. Get a random point from the Cluster with the largest number of points
private T	KMeansPlusPlusClusterer.getPointFromLargestVarianceCluster(Collection<Cluster<T>> clusters)	Deprecated. Get a random point from the Cluster with the largest distance variance.

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	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.
private double	MannWhitneyUTest.calculateAsymptoticPValue(double Umin, int n1, int n2)
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	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.