fr.cnes.sirius.patrius.math.analysis.function

Class Gaussian

java.lang.Object

fr.cnes.sirius.patrius.math.analysis.function.Gaussian

All Implemented Interfaces:

UnivariateDifferentiableFunction, UnivariateFunction, Serializable

public class Gaussian
extends Object
implements UnivariateDifferentiableFunction

Gaussian function.

Since:

3.0

Version:

$Id: Gaussian.java 18108 2017-10-04 06:45:27Z bignon $

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	Gaussian.Parametric Parametric function where the input array contains the parameters of the Gaussian, ordered as follows: Norm Mean Standard deviation

Constructor Summary

Constructors

Constructor and Description
Gaussian() Normalized gaussian with zero mean and unit standard deviation.
Gaussian(double meanIn, double sigma) Normalized gaussian with given mean and standard deviation.
Gaussian(double normIn, double meanIn, double sigma) Gaussian with given normalization factor, mean and standard deviation.

Method Summary

Modifier and Type	Method and Description
DerivativeStructure	value(DerivativeStructure t) Simple mathematical function.
double	value(double x) Compute the value of the function.

Methods inherited from class java.lang.Object

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

Constructor Detail

Gaussian

public Gaussian(double normIn,
                double meanIn,
                double sigma)

Gaussian with given normalization factor, mean and standard deviation.

Parameters:

normIn - Normalization factor.

meanIn - Mean.

sigma - Standard deviation.

Throws:

NotStrictlyPositiveException - if sigma <= 0.

Gaussian

public Gaussian(double meanIn,
                double sigma)

Normalized gaussian with given mean and standard deviation.

Parameters:

meanIn - Mean.

sigma - Standard deviation.

Throws:

NotStrictlyPositiveException - if sigma <= 0.

Gaussian

public Gaussian()

Normalized gaussian with zero mean and unit standard deviation.

Method Detail

value

public double value(double x)

Compute the value of the function.

Specified by:

value in interface UnivariateFunction

Parameters:

x - Point at which the function value should be computed.

Returns:

the value of the function.

value

public DerivativeStructure value(DerivativeStructure t)

Simple mathematical function.

UnivariateDifferentiableFunction classes compute both the value and the first derivative of the function.

Specified by:

value in interface UnivariateDifferentiableFunction

Parameters:

t - function input value

Returns:

function result

Since:

3.1