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

Packages that use NotPositiveException

Package	Description
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.ml.clustering	Clustering algorithms.
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	All classes and sub-packages of this package are deprecated.
org.apache.commons.math3.stat.inference	Classes providing hypothesis testing.
org.apache.commons.math3.stat.interval	Classes providing binomial proportion 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

Constructor	Description
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

Constructor	Description
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)	Deprecated. Create a microsphere interpolator.
MicrosphereProjectionInterpolator(InterpolatingMicrosphere microsphere, double exponent, boolean sharedSphere, double noInterpolationTolerance)	Create a microsphere interpolator.
SmoothingPolynomialBicubicSplineInterpolator(int degree)	Deprecated.
SmoothingPolynomialBicubicSplineInterpolator(int xDegree, int yDegree)	Deprecated.

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

Methods in org.apache.commons.math3.complex that throw NotPositiveException

Modifier and Type	Method	Description
java.util.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

Constructor	Description
EnumeratedDistribution(java.util.List<Pair<T,java.lang.Double>> pmf)	Create an enumerated distribution using the given probability mass function enumeration.
EnumeratedDistribution(RandomGenerator rng, java.util.List<Pair<T,java.lang.Double>> pmf)	Create an enumerated distribution using the given random number generator and probability mass function enumeration.
EnumeratedIntegerDistribution(int[] singletons, double[] probabilities)	Create a discrete distribution using the given probability mass function definition.
EnumeratedIntegerDistribution(RandomGenerator rng, int[] singletons, double[] probabilities)	Create a discrete distribution using the given random number generator and probability mass function definition.
EnumeratedRealDistribution(double[] singletons, double[] probabilities)	Create a discrete real-valued distribution using the given probability mass function enumeration.
EnumeratedRealDistribution(RandomGenerator rng, double[] singletons, double[] probabilities)	Create a discrete real-valued distribution using the given random number generator and probability mass function enumeration.
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.
MixtureMultivariateNormalDistribution(RandomGenerator rng, java.util.List<Pair<java.lang.Double,MultivariateNormalDistribution>> components)	Creates a mixture model from a list of distributions and their associated weights.

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

Methods in org.apache.commons.math3.genetics that throw NotPositiveException

Modifier and Type	Method	Description
void	ListPopulation.setPopulationLimit(int populationLimit)	Sets the maximal population size.

Constructors in org.apache.commons.math3.genetics that throw NotPositiveException

Constructor	Description
ElitisticListPopulation(int populationLimit, double elitismRate)	Creates a new ElitisticListPopulation instance and initializes its inner chromosome list.
ElitisticListPopulation(java.util.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(java.util.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

Modifier and Type	Method	Description
FieldVector<T>	ArrayFieldVector.getSubVector(int index, int n)	Get a subvector from consecutive elements.
RealVector	ArrayRealVector.getSubVector(int index, int n)	Get a subvector from consecutive elements.
FieldVector<T>	FieldVector.getSubVector(int index, int n)	Get a subvector from consecutive elements.
OpenMapRealVector	OpenMapRealVector.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.
FieldVector<T>	SparseFieldVector.getSubVector(int index, int n)	Get a subvector from consecutive elements.
FieldMatrix<T>	AbstractFieldMatrix.power(int p)	Returns the result multiplying this with itself p times.
RealMatrix	AbstractRealMatrix.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.
RealMatrix	RealMatrix.power(int p)	Returns the result of multiplying this with itself p times.

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

Constructors in org.apache.commons.math3.ml.clustering that throw NotPositiveException

Constructor	Description
DBSCANClusterer(double eps, int minPts)	Creates a new instance of a DBSCANClusterer.
DBSCANClusterer(double eps, int minPts, DistanceMeasure measure)	Creates a new instance of a DBSCANClusterer.

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

Constructor	Description
Sigma(double[] s)

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

Constructors in org.apache.commons.math3.optimization.direct that throw NotPositiveException

Constructor	Description
Sigma(double[] s)

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

Methods in org.apache.commons.math3.random that throw NotPositiveException

Modifier and Type	Method	Description
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.
double[]	HaltonSequenceGenerator.skipTo(int index)	Skip to the i-th point in the Halton sequence.
double[]	SobolSequenceGenerator.skipTo(int index)	Skip to the i-th point in the Sobol sequence.

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

Constructors in org.apache.commons.math3.stat.clustering that throw NotPositiveException

Constructor	Description
DBSCANClusterer(double eps, int minPts)	Deprecated. 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

Modifier and Type	Method	Description
private void	ChiSquareTest.checkArray(long[][] in)	Checks to make sure that the input long[][] array is rectangular, has at least 2 rows and 2 columns, and has all non-negative entries.
double	ChiSquareTest.chiSquare(double[] expected, long[] observed)	Computes the Chi-Square statistic comparing observed and expected frequency 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.chiSquare(double[] expected, long[] observed)
static double	TestUtils.chiSquare(long[][] counts)
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.chiSquareDataSetsComparison(long[] observed1, long[] observed2)
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.
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.
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.
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.chiSquareTest(double[] expected, long[] observed)
static boolean	TestUtils.chiSquareTest(double[] expected, long[] observed, double alpha)
static double	TestUtils.chiSquareTest(long[][] counts)
static boolean	TestUtils.chiSquareTest(long[][] counts, double alpha)
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.
boolean	ChiSquareTest.chiSquareTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)	Performs a Chi-Square two sample test comparing two binned data sets.
static double	TestUtils.chiSquareTestDataSetsComparison(long[] observed1, long[] observed2)
static boolean	TestUtils.chiSquareTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)
double	GTest.g(double[] expected, long[] observed)	Computes the G statistic for Goodness of Fit comparing observed and expected frequency counts.
static double	TestUtils.g(double[] expected, long[] observed)
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.gDataSetsComparison(long[] observed1, long[] observed2)
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.
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.gTest(double[] expected, long[] observed)
static boolean	TestUtils.gTest(double[] expected, long[] observed, double alpha)
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.
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.gTestDataSetsComparison(long[] observed1, long[] observed2)
static boolean	TestUtils.gTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)
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.gTestIntrinsic(double[] expected, long[] observed)
static double	TestUtils.rootLogLikelihoodRatio(long k11, long k12, long k21, long k22)

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

Methods in org.apache.commons.math3.stat.interval that throw NotPositiveException

Modifier and Type	Method	Description
ConfidenceInterval	BinomialConfidenceInterval.createInterval(int numberOfTrials, int numberOfSuccesses, double confidenceLevel)	Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.

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

Methods in org.apache.commons.math3.util that throw NotPositiveException

Modifier and Type	Method	Description
static long	ArithmeticUtils.binomialCoefficient(int n, int k)	Deprecated. use CombinatoricsUtils.binomialCoefficient(int, int)
static long	CombinatoricsUtils.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)	Deprecated. use CombinatoricsUtils.binomialCoefficientDouble(int, int)
static double	CombinatoricsUtils.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)	Deprecated. use CombinatoricsUtils.binomialCoefficientLog(int, int)
static double	CombinatoricsUtils.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	CombinatoricsUtils.checkBinomial(int n, int k)	Check binomial preconditions.
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)	Deprecated. use CombinatoricsUtils.factorial(int)
static long	CombinatoricsUtils.factorial(int n)	Returns n!.
static double	ArithmeticUtils.factorialDouble(int n)	Deprecated. use CombinatoricsUtils.factorialDouble(int)
static double	CombinatoricsUtils.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)	Deprecated. use CombinatoricsUtils.factorialLog(int)
static double	CombinatoricsUtils.factorialLog(int n)	Compute the natural logarithm of the factorial of n.
static int	ArithmeticUtils.pow(int k, int e)	Raise an int to an int power.
static int	ArithmeticUtils.pow(int k, long e)	Deprecated. As of 3.3.
static long	ArithmeticUtils.pow(long k, int e)	Raise a long to an int power.
static long	ArithmeticUtils.pow(long k, long e)	Deprecated. As of 3.3.
static java.math.BigInteger	ArithmeticUtils.pow(java.math.BigInteger k, int e)	Raise a BigInteger to an int power.
static java.math.BigInteger	ArithmeticUtils.pow(java.math.BigInteger k, long e)	Raise a BigInteger to a long power.
static java.math.BigInteger	ArithmeticUtils.pow(java.math.BigInteger k, java.math.BigInteger e)	Raise a BigInteger to a BigInteger power.
static long	ArithmeticUtils.stirlingS2(int n, int k)	Deprecated. use CombinatoricsUtils.stirlingS2(int, int)
static long	CombinatoricsUtils.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.