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Packages that use ZeroException | |
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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 |
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Methods in org.apache.commons.math3.analysis.interpolation that throw ZeroException | |
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void |
HermiteInterpolator.addSamplePoint(double x,
double[]... value)
Add a sample point. |
Uses of ZeroException in org.apache.commons.math3.complex |
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Methods in org.apache.commons.math3.complex that throw ZeroException | |
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void |
RootsOfUnity.computeRoots(int n)
Computes the n -th roots of unity. |
Uses of ZeroException in org.apache.commons.math3.linear |
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Methods in org.apache.commons.math3.linear that throw ZeroException | ||
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static
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MatrixUtils.createFieldVector(T[] data)
Creates a FieldVector using the data from the input array. |
Constructors in org.apache.commons.math3.linear that throw ZeroException | |
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ArrayFieldVector(Field<T> field,
T[] v1,
T[] v2)
Construct a vector by appending one vector to another vector. |
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ArrayFieldVector(T[] d)
Construct a vector from an array, copying the input array. |
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ArrayFieldVector(T[] d,
boolean copyArray)
Create a new ArrayFieldVector using the input array as the underlying data array. |
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ArrayFieldVector(T[] v1,
T[] v2)
Construct a vector by appending one vector to another vector. |
Uses of ZeroException in org.apache.commons.math3.random |
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Methods in org.apache.commons.math3.random that throw ZeroException | |
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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 |
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Methods in org.apache.commons.math3.stat.inference that throw ZeroException | |
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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)
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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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