public class Beta extends Object
This is a utility class that provides computation methods related to the Beta family of functions.
Implementation of logBeta(double, double) is based on the
algorithms described in
| Modifier and Type | Method and Description |
|---|---|
static double |
logBeta(double p,
double q)
Returns the value of log B(p, q) for 0 ≤ x ≤ 1 and p, q > 0.
|
static double |
logBeta(double a,
double b,
double epsilon,
int maxIterations)
Deprecated.
as of version 3.1, this method is deprecated as the
computation of the beta function is no longer iterative; it will be
removed in version 4.0. Current implementation of this method
internally calls
logBeta(double, double). |
static double |
regularizedBeta(double x,
double a,
double b)
Returns the
regularized beta function I(x, a, b).
|
static double |
regularizedBeta(double x,
double a,
double b,
double epsilon)
Returns the
regularized beta function I(x, a, b).
|
static double |
regularizedBeta(double x,
double a,
double b,
double epsilon,
int maxIterations)
Returns the regularized beta function I(x, a, b).
|
static double |
regularizedBeta(double x,
double a,
double b,
int maxIterations)
Returns the regularized beta function I(x, a, b).
|
public static double regularizedBeta(double x,
double a,
double b)
x - Value.a - Parameter a.b - Parameter b.MaxCountExceededException - if the algorithm fails to converge.public static double regularizedBeta(double x,
double a,
double b,
double epsilon)
x - Value.a - Parameter a.b - Parameter b.epsilon - When the absolute value of the nth item in the
series is less than epsilon the approximation ceases to calculate
further elements in the series.MaxCountExceededException - if the algorithm fails to converge.public static double regularizedBeta(double x,
double a,
double b,
int maxIterations)
x - the value.a - Parameter a.b - Parameter b.maxIterations - Maximum number of "iterations" to complete.MaxCountExceededException - if the algorithm fails to converge.public static double regularizedBeta(double x,
double a,
double b,
double epsilon,
int maxIterations)
x - the value.a - Parameter a.b - Parameter b.epsilon - When the absolute value of the nth item in the
series is less than epsilon the approximation ceases to calculate
further elements in the series.maxIterations - Maximum number of "iterations" to complete.MaxCountExceededException - if the algorithm fails to converge.@Deprecated public static double logBeta(double a, double b, double epsilon, int maxIterations)
logBeta(double, double).a - Parameter a.b - Parameter b.epsilon - This parameter is ignored.maxIterations - This parameter is ignored.public static double logBeta(double p,
double q)
DBETLN.p - First argument.q - Second argument.log(Beta(p, q)), NaN if
p <= 0 or q <= 0.Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.