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

- Packages that use NumberIsTooLargeException
  Package | Description
  --- | ---
  org.apache.commons.math3.analysis.integration | Numerical integration (quadrature) algorithms for univariate real functions.
  org.apache.commons.math3.distribution | Implementations of common discrete and continuous distributions.
  org.apache.commons.math3.stat.inference | Classes providing hypothesis testing and confidence interval construction.

- - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.analysis.integration

    Constructors in org.apache.commons.math3.analysis.integration that throw NumberIsTooLargeException
    Constructor and Description
    `RombergIntegrator(double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)` Build a Romberg integrator with given accuracies and iterations counts.
    `RombergIntegrator(int minimalIterationCount, int maximalIterationCount)` Build a Romberg integrator with given iteration counts.
    `SimpsonIntegrator(double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)` Build a Simpson integrator with given accuracies and iterations counts.
    `SimpsonIntegrator(int minimalIterationCount, int maximalIterationCount)` Build a Simpson integrator with given iteration counts.
    `TrapezoidIntegrator(double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)` Build a trapezoid integrator with given accuracies and iterations counts.
    `TrapezoidIntegrator(int minimalIterationCount, int maximalIterationCount)` Build a trapezoid integrator with given iteration counts.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.distribution

    Methods in org.apache.commons.math3.distribution that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `double` | AbstractRealDistribution.`cumulativeProbability(double x0, double x1)` For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
    `double` | LogNormalDistribution.`cumulativeProbability(double x0, double x1)` For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
    `double` | RealDistribution.`cumulativeProbability(double x0, double x1)` For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
    `double` | NormalDistribution.`cumulativeProbability(double x0, double x1)` For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
    `double` | IntegerDistribution.`cumulativeProbability(int x0, int x1)` For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.
    `double` | AbstractIntegerDistribution.`cumulativeProbability(int x0, int x1)` For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.

    Constructors in org.apache.commons.math3.distribution that throw NumberIsTooLargeException
    Constructor and Description
    `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.
    `TriangularDistribution(double a, double c, double b)` Create a triangular real distribution using the given lower limit, upper limit, and mode.
    `UniformIntegerDistribution(int lower, int upper)` Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
    `UniformRealDistribution(double lower, double upper)` Create a uniform real distribution using the given lower and upper bounds.
    `UniformRealDistribution(double lower, double upper, double inverseCumAccuracy)` Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.

  - ### Uses of NumberIsTooLargeException in org.apache.commons.math3.stat.inference

    Methods in org.apache.commons.math3.stat.inference that throw NumberIsTooLargeException
    Modifier and Type | Method and Description
    --- | ---
    `double` | WilcoxonSignedRankTest.`wilcoxonSignedRankTest(double[] x, double[] y, boolean exactPValue)` Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.

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