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

Computes the value of the gradient at x.

Computes the value of the sigmoid at x.

Gaussian with given normalization factor, mean and standard deviation.

Construct an integrator with given iteration counts.

Builds an integrator with given accuracies and iterations counts.

Build a Legendre-Gauss integrator with given accuracies and iterations counts.

Build a midpoint integrator with given iteration counts.

Build a Romberg integrator with given iteration counts.

Build a Simpson integrator with given iteration counts.

Build a trapezoid integrator with given iteration counts.

Creates a Gauss-Legendre integrator of the given order.

Creates an integrator of the given order, and whose call to the integrate method will perform an integration on the given interval.

This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0.

Generate a random sample from the distribution.

Creates an exponential distribution.

Creates an F distribution using the given degrees of freedom and inverse cumulative probability accuracy.

Creates an F distribution.

Creates a new gamma distribution with specified values of the shape and scale parameters.

Creates a Gamma distribution.

Creates a new hypergeometric distribution.

Create a log-normal distribution using the specified scale and shape.

Creates a log-normal distribution.

Create a normal distribution using the given mean and standard deviation.

Creates a normal distribution.

Create a Pareto distribution using the specified scale and shape.

Creates a Pareto distribution.

Create a Pascal distribution with the given number of successes and probability of success.

Creates a new Poisson distribution with specified mean.

Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.

Create a t distribution using the given degrees of freedom.

Creates a t distribution.

Create a Weibull distribution with the given shape and scale and a location equal to zero.

Creates a Weibull distribution.

Fit a mixture model to the data supplied to the constructor.

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.

Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.

Create a new RealMatrix with the supplied row and column dimensions.

Create a new RealMatrix with the supplied row and column dimensions.

Create a new matrix with the supplied row and column dimensions.

Create a new matrix with the supplied row and column dimensions.

Creates a matrix with the supplied dimension.

Generates a random value from the exponential distribution with specified mean.

Generates a random value from the F Distribution.

Generates a random value from the Gamma Distribution.

Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.

Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.

Generates a random string of hex characters of length len.

Generates a random value from the Hypergeometric Distribution.

Generates a random value from the Pascal Distribution.

Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0, ..., n - 1 (inclusive).

Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0, ..., n - 1 (inclusive).

Generates a random value from the Poisson distribution with the given mean.

Returns an array of k objects selected randomly from the Collection c.

Returns an array of k objects selected randomly from the Collection c.

Generates a random string of hex characters from a secure random sequence.

Generates a random value from the T Distribution.

Generates a random value from the Weibull Distribution.

Generates a random value from the Zipf Distribution.

Compute a covariance matrix from a rectangular array whose columns represent covariates.

Create a Covariance matrix from a rectangular array whose columns represent covariates.

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.

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.

Computes p-value for 2-sided, 2-sample t-test.