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Packages that use ConvergenceException | |
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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.stat.clustering | Clustering algorithms |
org.apache.commons.math3.stat.inference | Classes providing hypothesis testing and confidence interval construction. |
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 |
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Methods in org.apache.commons.math3.analysis.solvers that throw ConvergenceException | |
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protected double |
BaseSecantSolver.doSolve()
Method for implementing actual optimization algorithms in derived classes. |
Uses of ConvergenceException in org.apache.commons.math3.fraction |
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Subclasses of ConvergenceException in org.apache.commons.math3.fraction | |
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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.stat.clustering |
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Methods in org.apache.commons.math3.stat.clustering that throw ConvergenceException | |
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List<Cluster<T>> |
KMeansPlusPlusClusterer.cluster(Collection<T> points,
int k,
int maxIterations)
Runs the K-means++ clustering algorithm. |
List<Cluster<T>> |
KMeansPlusPlusClusterer.cluster(Collection<T> points,
int k,
int numTrials,
int maxIterationsPerTrial)
Runs the K-means++ clustering algorithm. |
Uses of ConvergenceException in org.apache.commons.math3.stat.inference |
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Methods in org.apache.commons.math3.stat.inference that throw ConvergenceException | |
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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)
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static boolean |
TestUtils.oneWayAnovaTest(Collection<double[]> categoryData,
double alpha)
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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 |
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Methods in org.apache.commons.math3.util that throw ConvergenceException | |
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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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