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

Packages that use NotPositiveException
org.apache.commons.math3.analysis.differentiation | This package holds the main interfaces and basic building block classes dealing with differentiation.
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.distribution | Implementations of common discrete and continuous distributions.
org.apache.commons.math3.genetics | This package provides Genetic Algorithms components and implementations.
org.apache.commons.math3.linear | Linear algebra support.
org.apache.commons.math3.optim.nonlinear.scalar.noderiv | This package provides optimization algorithms that do not require derivatives.
org.apache.commons.math3.optimization.direct | This package provides optimization algorithms that don't require derivatives.
org.apache.commons.math3.random | Random number and random data generators.
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 NotPositiveException in org.apache.commons.math3.analysis.differentiation

Constructors in org.apache.commons.math3.analysis.differentiation that throw NotPositiveException
`FiniteDifferencesDifferentiator(int nbPoints, double stepSize)` Build a differentiator with number of points and step size when independent variable is unbounded.
`FiniteDifferencesDifferentiator(int nbPoints, double stepSize, double tLower, double tUpper)` Build a differentiator with number of points and step size when independent variable is bounded.

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

Constructors in org.apache.commons.math3.analysis.interpolation that throw NotPositiveException
`LoessInterpolator(double bandwidth, int robustnessIters, double accuracy)` Construct a new `LoessInterpolator` with given bandwidth, number of robustness iterations and accuracy.
`MicrosphereInterpolator(int elements, int exponent)` Create a microsphere interpolator.

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

Methods in org.apache.commons.math3.complex that throw NotPositiveException
`List<Complex>` | `Complex.nthRoot(int n)` Computes the n-th roots of this complex number.

Uses of NotPositiveException in org.apache.commons.math3.distribution

Constructors in org.apache.commons.math3.distribution that throw NotPositiveException
`HypergeometricDistribution(int populationSize, int numberOfSuccesses, int sampleSize)` Construct a new hypergeometric distribution with the specified population size, number of successes in the population, and sample size.
`HypergeometricDistribution(RandomGenerator rng, int populationSize, int numberOfSuccesses, int sampleSize)` Creates a new hypergeometric distribution.

Uses of NotPositiveException in org.apache.commons.math3.genetics

Methods in org.apache.commons.math3.genetics that throw NotPositiveException
`void` | `ListPopulation.setPopulationLimit(int populationLimit)` Sets the maximal population size.

Constructors in org.apache.commons.math3.genetics that throw NotPositiveException
`ElitisticListPopulation(int populationLimit, double elitismRate)` Creates a new `ElitisticListPopulation` instance and initializes its inner chromosome list.
`ElitisticListPopulation(List<Chromosome> chromosomes, int populationLimit, double elitismRate)` Creates a new `ElitisticListPopulation` instance.
`ListPopulation(int populationLimit)` Creates a new ListPopulation instance and initializes its inner chromosome list.
`ListPopulation(List<Chromosome> chromosomes, int populationLimit)` Creates a new ListPopulation instance.

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

Methods in org.apache.commons.math3.linear that throw NotPositiveException
`FieldVector<T>` | `ArrayFieldVector.getSubVector(int index, int n)` Get a subvector from consecutive elements.
`FieldVector<T>` | `SparseFieldVector.getSubVector(int index, int n)` Deprecated. Get a subvector from consecutive elements.
`FieldVector<T>` | `FieldVector.getSubVector(int index, int n)` Get a subvector from consecutive elements.
`RealVector` | `ArrayRealVector.getSubVector(int index, int n)` Get a subvector from consecutive elements.
`abstract RealVector` | `RealVector.getSubVector(int index, int n)` Get a subvector from consecutive elements.
`OpenMapRealVector` | `OpenMapRealVector.getSubVector(int index, int n)` Deprecated. Get a subvector from consecutive elements.
`RealMatrix` | `AbstractRealMatrix.power(int p)` Returns the result of multiplying `this` with itself `p` times.
`RealMatrix` | `RealMatrix.power(int p)` Returns the result of multiplying `this` with itself `p` times.
`FieldMatrix<T>` | `FieldMatrix.power(int p)` Returns the result multiplying this with itself `p` times.
`FieldMatrix<T>` | `AbstractFieldMatrix.power(int p)` Returns the result multiplying this with itself `p` times.

Uses of NotPositiveException in org.apache.commons.math3.optim.nonlinear.scalar.noderiv

Constructors in org.apache.commons.math3.optim.nonlinear.scalar.noderiv that throw NotPositiveException
`CMAESOptimizer.Sigma(double[] s)`

Uses of NotPositiveException in org.apache.commons.math3.optimization.direct

Constructors in org.apache.commons.math3.optimization.direct that throw NotPositiveException
`CMAESOptimizer.Sigma(double[] s)`

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

Methods in org.apache.commons.math3.random that throw NotPositiveException
`int` | `RandomDataGenerator.nextHypergeometric(int populationSize, int numberOfSuccesses, int sampleSize)` Generates a random value from the `Hypergeometric Distribution`.
`int` | `RandomDataImpl.nextHypergeometric(int populationSize, int numberOfSuccesses, int sampleSize)` Deprecated. Generates a random value from the `Hypergeometric Distribution`.

Uses of NotPositiveException in org.apache.commons.math3.stat.clustering

Constructors in org.apache.commons.math3.stat.clustering that throw NotPositiveException
`DBSCANClusterer(double eps, int minPts)` Creates a new instance of a DBSCANClusterer.

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

Methods in org.apache.commons.math3.stat.inference that throw NotPositiveException
`static double` | `TestUtils.chiSquare(double[] expected, long[] observed)`
`double` | `ChiSquareTest.chiSquare(double[] expected, long[] observed)` Computes the Chi-Square statistic comparing `observed` and `expected` frequency counts.
`static double` | `TestUtils.chiSquare(long[][] counts)`
`double` | `ChiSquareTest.chiSquare(long[][] counts)` Computes the Chi-Square statistic associated with a chi-square test of independence based on the input `counts` array, viewed as a two-way table.
`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.chiSquareTest(double[] expected, long[] observed)`
`double` | `ChiSquareTest.chiSquareTest(double[] expected, long[] observed)` Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the `observed` frequency counts to those in the `expected` array.
`static boolean` | `TestUtils.chiSquareTest(double[] expected, long[] observed, double alpha)`
`boolean` | `ChiSquareTest.chiSquareTest(double[] expected, long[] observed, double alpha)` Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level `alpha`.
`static double` | `TestUtils.chiSquareTest(long[][] counts)`
`double` | `ChiSquareTest.chiSquareTest(long[][] counts)` Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input `counts` array, viewed as a two-way table.
`static boolean` | `TestUtils.chiSquareTest(long[][] counts, double alpha)`
`boolean` | `ChiSquareTest.chiSquareTest(long[][] counts, double alpha)` Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level `alpha`.
`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.g(double[] expected, long[] observed)`
`double` | `GTest.g(double[] expected, long[] observed)` Computes the G statistic for Goodness of Fit comparing `observed` and `expected` frequency counts.
`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.gTest(double[] expected, long[] observed)`
`double` | `GTest.gTest(double[] expected, long[] observed)` Returns the observed significance level, or p-value, associated with a G-Test for goodness of fit comparing the `observed` frequency counts to those in the `expected` array.
`static boolean` | `TestUtils.gTest(double[] expected, long[] observed, double alpha)`
`boolean` | `GTest.gTest(double[] expected, long[] observed, double alpha)` Performs a G-Test (Log-Likelihood Ratio Test) for goodness of fit evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level `alpha`.
`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.gTestIntrinsic(double[] expected, long[] observed)`
`double` | `GTest.gTestIntrinsic(double[] expected, long[] observed)` Returns the intrinsic (Hardy-Weinberg proportions) p-Value, as described in p64-69 of McDonald, J.H.
`static double` | `TestUtils.rootLogLikelihoodRatio(long k11, long k12, long k21, long k22)`

Uses of NotPositiveException in org.apache.commons.math3.util

Methods in org.apache.commons.math3.util that throw NotPositiveException
`static long` | `ArithmeticUtils.binomialCoefficient(int n, int k)` Returns an exact representation of the Binomial Coefficient, "`n choose k`", the number of `k`-element subsets that can be selected from an `n`-element set.
`static double` | `ArithmeticUtils.binomialCoefficientDouble(int n, int k)` Returns a `double` representation of the Binomial Coefficient, "`n choose k`", the number of `k`-element subsets that can be selected from an `n`-element set.
`static double` | `ArithmeticUtils.binomialCoefficientLog(int n, int k)` Returns the natural `log` of the Binomial Coefficient, "`n choose k`", the number of `k`-element subsets that can be selected from an `n`-element set.
`static void` | `MathArrays.checkNonNegative(long[] in)` Check that all entries of the input array are >= 0.
`static void` | `MathArrays.checkNonNegative(long[][] in)` Check all entries of the input array are >= 0.
`static long` | `ArithmeticUtils.factorial(int n)` Returns n!.
`static double` | `ArithmeticUtils.factorialDouble(int n)` Compute n!, the factorial of `n` (the product of the numbers 1 to n), as a `double`.
`static double` | `ArithmeticUtils.factorialLog(int n)` Compute the natural logarithm of the factorial of `n`.
`static BigInteger` | `ArithmeticUtils.pow(BigInteger k, BigInteger e)` Raise a BigInteger to a BigInteger power.
`static BigInteger` | `ArithmeticUtils.pow(BigInteger k, int e)` Raise a BigInteger to an int power.
`static BigInteger` | `ArithmeticUtils.pow(BigInteger k, long e)` Raise a BigInteger to a long power.
`static int` | `ArithmeticUtils.pow(int k, int e)` Raise an int to an int power.
`static int` | `ArithmeticUtils.pow(int k, long e)` Raise an int to a long power.
`static long` | `ArithmeticUtils.pow(long k, int e)` Raise a long to an int power.
`static long` | `ArithmeticUtils.pow(long k, long e)` Raise a long to a long power.
`static long` | `ArithmeticUtils.stirlingS2(int n, int k)` Returns the Stirling number of the second kind, "`S(n,k)`", the number of ways of partitioning an `n`-element set into `k` non-empty subsets.

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