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

Packages that use ZeroException
org.apache.commons.math3.analysis.interpolation | Univariate real functions interpolation algorithms.
org.apache.commons.math3.complex | Complex number type and implementations of complex transcendental functions.
org.apache.commons.math3.linear | Linear algebra support.
org.apache.commons.math3.random | Random number and random data generators.
org.apache.commons.math3.stat.inference | Classes providing hypothesis testing and confidence interval construction.

Uses of ZeroException in org.apache.commons.math3.analysis.interpolation

Methods in org.apache.commons.math3.analysis.interpolation that throw ZeroException
`void` | `HermiteInterpolator.addSamplePoint(double x, double[]... value)` Add a sample point.

Uses of ZeroException in org.apache.commons.math3.complex

Methods in org.apache.commons.math3.complex that throw ZeroException
`void` | `RootsOfUnity.computeRoots(int n)` Computes the `n`-th roots of unity.

Uses of ZeroException in org.apache.commons.math3.linear

Methods in org.apache.commons.math3.linear that throw ZeroException
`static
`<T extends FieldElement<T>> FieldVector<T>`
` | `MatrixUtils.createFieldVector(T[] data)` Creates a `FieldVector` using the data from the input array.

Constructors in org.apache.commons.math3.linear that throw ZeroException
`ArrayFieldVector(Field<T> field, T[] v1, T[] v2)` Construct a vector by appending one vector to another vector.
`ArrayFieldVector(T[] d)` Construct a vector from an array, copying the input array.
`ArrayFieldVector(T[] d, boolean copyArray)` Create a new ArrayFieldVector using the input array as the underlying data array.
`ArrayFieldVector(T[] v1, T[] v2)` Construct a vector by appending one vector to another vector.

Uses of ZeroException in org.apache.commons.math3.random

Methods in org.apache.commons.math3.random that throw ZeroException
`void` | `ValueServer.computeDistribution()` Computes the empirical distribution using values from the file in `valuesFileURL`, using the default number of bins.
`void` | `ValueServer.computeDistribution(int binCount)` Computes the empirical distribution using values from the file in `valuesFileURL` and `binCount` bins.
`void` | `EmpiricalDistribution.load(URL url)` Computes the empirical distribution using data read from a URL.

Uses of ZeroException in org.apache.commons.math3.stat.inference

Methods in org.apache.commons.math3.stat.inference that throw ZeroException
`static double` | `TestUtils.chiSquareDataSetsComparison(long[] observed1, long[] observed2)`
`double` | `ChiSquareTest.chiSquareDataSetsComparison(long[] observed1, long[] observed2)` Computes a Chi-Square two sample test statistic comparing bin frequency counts in `observed1` and `observed2`.
`static double` | `TestUtils.chiSquareTestDataSetsComparison(long[] observed1, long[] observed2)`
`double` | `ChiSquareTest.chiSquareTestDataSetsComparison(long[] observed1, long[] observed2)` Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in `observed1` and `observed2`.
`static boolean` | `TestUtils.chiSquareTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)`
`boolean` | `ChiSquareTest.chiSquareTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)` Performs a Chi-Square two sample test comparing two binned data sets.
`static double` | `TestUtils.gDataSetsComparison(long[] observed1, long[] observed2)`
`double` | `GTest.gDataSetsComparison(long[] observed1, long[] observed2)` Computes a G (Log-Likelihood Ratio) two sample test statistic for independence comparing frequency counts in `observed1` and `observed2`.
`static double` | `TestUtils.gTestDataSetsComparison(long[] observed1, long[] observed2)`
`double` | `GTest.gTestDataSetsComparison(long[] observed1, long[] observed2)` Returns the observed significance level, or p-value, associated with a G-Value (Log-Likelihood Ratio) for two sample test comparing bin frequency counts in `observed1` and `observed2`.
`static boolean` | `TestUtils.gTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)`
`boolean` | `GTest.gTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)` Performs a G-Test (Log-Likelihood Ratio Test) comparing two binned data sets.
`static double` | `TestUtils.rootLogLikelihoodRatio(long k11, long k12, long k21, long k22)`

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