Package dev.nm.analysis.function.special.gamma

Class GammaGergoNemes

java.lang.Object

dev.nm.analysis.function.rn2r1.AbstractRealScalarFunction

dev.nm.analysis.function.rn2r1.univariate.AbstractUnivariateRealFunction

dev.nm.analysis.function.special.gamma.GammaGergoNemes

All Implemented Interfaces:

Function<Vector,Double>, RealScalarFunction, UnivariateRealFunction, Gamma

public class GammaGergoNemes
extends AbstractUnivariateRealFunction
implements Gamma

The Gergo Nemes' algorithm is very simple and quick to compute the Gamma function, if accuracy is not critical. It may work better for large input.

See Also:

• Wikipedia: A version suitable for calculators

Nested Class Summary

Nested classes/interfaces inherited from interface dev.nm.analysis.function.Function

Function.EvaluationException

Constructor Summary

Constructors

Constructor	Description
GammaGergoNemes()

Method Summary

Modifier and Type	Method	Description
double	evaluate(double x)	Evaluate \(\Gamma(z) = \int_0^\infty e^{-t} t^{z-1} dt\).

Methods inherited from class dev.nm.analysis.function.rn2r1.univariate.AbstractUnivariateRealFunction

evaluate

Methods inherited from class dev.nm.analysis.function.rn2r1.AbstractRealScalarFunction

dimensionOfDomain, dimensionOfRange

Methods inherited from class java.lang.Object

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

Methods inherited from interface dev.nm.analysis.function.Function

dimensionOfDomain, dimensionOfRange

Constructor Details

GammaGergoNemes

public GammaGergoNemes()

Method Details

evaluate

public double evaluate(double x)

Description copied from interface: Gamma

Evaluate \(\Gamma(z) = \int_0^\infty e^{-t} t^{z-1} dt\).

Specified by:

evaluate in interface Gamma

Specified by:

evaluate in interface UnivariateRealFunction

Parameters:

x - x

Returns:

\(\Gamma(z)\)