Package org.apache.commons.numbers.gamma

Class RegularizedGamma.P

java.lang.Object

org.apache.commons.numbers.gamma.RegularizedGamma.P

Enclosing class:

RegularizedGamma

public static final class RegularizedGamma.P
extends Object

Lower regularized Gamma function \( P(a, x) \).

\[ P(a,x) = 1 - Q(a,x) = \frac{\gamma(a,x)}{\Gamma(a)} = \frac{1}{\Gamma(a)} \int_0^x t^{a-1}\,e^{-t}\,dt \]

Method Summary

Modifier and Type	Method	Description
static double	derivative(double a, double x)	Computes the derivative of the lower regularized gamma function \( P(a, x) \).
static double	value(double a, double x)	Computes the lower regularized gamma function \( P(a, x) \).
static double	value(double a, double x, double epsilon, int maxIterations)	Computes the lower regularized gamma function \( P(a, x) \).

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

value

public static double value(double a,
 double x)

Computes the lower regularized gamma function \( P(a, x) \).

Parameters:

a - Argument.

x - Argument.

Returns:

\( P(a, x) \).

Throws:

ArithmeticException - if the continued fraction fails to converge.

value

public static double value(double a,
 double x,
 double epsilon,
 int maxIterations)

Computes the lower regularized gamma function \( P(a, x) \).

Parameters:

a - Argument.

x - Argument.

epsilon - Tolerance in series evaluation.

maxIterations - Maximum number of iterations in series evaluation.

Returns:

\( P(a, x) \).

Throws:

ArithmeticException - if the series evaluation fails to converge.

derivative

public static double derivative(double a,
 double x)

Computes the derivative of the lower regularized gamma function \( P(a, x) \).

\[ \frac{\delta}{\delta x} P(a,x) = \frac{e^{-x} x^{a-1}}{\Gamma(a)} \]

This function has uses in some statistical distributions.

Parameters:

a - Argument.

x - Argument.

Returns:

derivative of \( P(a,x) \) with respect to x.

Since:

1.1