Uses of Classorg.apache.commons.math3.exception.ZeroException

• Packages that use ZeroException
Package Description
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.
• Uses of ZeroException in org.apache.commons.math3.analysis.interpolation

Methods in org.apache.commons.math3.analysis.interpolation that throw ZeroException
Modifier and Type Method and Description
void HermiteInterpolator.addSamplePoint(double x, double[]... value)
void FieldHermiteInterpolator.addSamplePoint(T x, T[]... value)
• Uses of ZeroException in org.apache.commons.math3.complex

Methods in org.apache.commons.math3.complex that throw ZeroException
Modifier and Type Method and Description
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
Modifier and Type Method and Description
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
Constructor and Description
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
Modifier and Type Method and Description
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
Modifier and Type Method and Description
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)