gov.sandia.cognition.statistics.distribution

Class UnivariateGaussian.ErrorFunction.Inverse

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.math.AbstractScalarFunction<java.lang.Double>

gov.sandia.cognition.math.AbstractUnivariateScalarFunction

gov.sandia.cognition.statistics.distribution.UnivariateGaussian.ErrorFunction.Inverse

All Implemented Interfaces:

Evaluator<java.lang.Double,java.lang.Double>, ScalarFunction<java.lang.Double>, UnivariateScalarFunction, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

UnivariateGaussian.ErrorFunction

public static class UnivariateGaussian.ErrorFunction.Inverse
extends AbstractUnivariateScalarFunction

Inverse of the ErrorFunction

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static UnivariateGaussian.ErrorFunction.Inverse	INSTANCE Default instance.

Constructor Summary

Constructors

Constructor and Description
Inverse() Default constructor

Method Summary

Modifier and Type	Method and Description
double	evaluate(double y) Inverse of the error function.

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

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

Methods inherited from interface gov.sandia.cognition.math.UnivariateScalarFunction

evaluate, evaluateAsDouble

Field Detail

INSTANCE

public static final UnivariateGaussian.ErrorFunction.Inverse INSTANCE

Default instance.

Constructor Detail

Inverse

public Inverse()

Default constructor

Method Detail

evaluate

public double evaluate(double y)

Inverse of the error function. x = erfinv(y) satisfies y = erf(x), y is [-1,1) and x is any double.

Parameters:

y - Computes the value of the error function inverse such that y = erf(x)

Returns:

Returns the value "x" such that y = erf(x)