public class Gaussian extends Object implements UnivariateDifferentiableFunction, DifferentiableUnivariateFunction
Modifier and Type | Class and Description |
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static class |
Gaussian.Parametric
Parametric function where the input array contains the parameters of
the Gaussian, ordered as follows:
Norm
Mean
Standard deviation
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Constructor and Description |
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Gaussian()
Normalized gaussian with zero mean and unit standard deviation.
|
Gaussian(double mean,
double sigma)
Normalized gaussian with given mean and standard deviation.
|
Gaussian(double norm,
double mean,
double sigma)
Gaussian with given normalization factor, mean and standard deviation.
|
Modifier and Type | Method and Description |
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UnivariateFunction |
derivative()
Deprecated.
as of 3.1, replaced by
value(DerivativeStructure) |
DerivativeStructure |
value(DerivativeStructure t)
Simple mathematical function.
|
double |
value(double x)
Compute the value of the function.
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public Gaussian(double norm, double mean, double sigma) throws NotStrictlyPositiveException
norm
- Normalization factor.mean
- Mean.sigma
- Standard deviation.NotStrictlyPositiveException
- if sigma <= 0
.public Gaussian(double mean, double sigma) throws NotStrictlyPositiveException
mean
- Mean.sigma
- Standard deviation.NotStrictlyPositiveException
- if sigma <= 0
.public Gaussian()
public double value(double x)
value
in interface UnivariateFunction
x
- Point at which the function value should be computed.@Deprecated public UnivariateFunction derivative()
value(DerivativeStructure)
derivative
in interface DifferentiableUnivariateFunction
public DerivativeStructure value(DerivativeStructure t)
UnivariateDifferentiableFunction
classes compute both the
value and the first derivative of the function.
value
in interface UnivariateDifferentiableFunction
t
- function input valueCopyright © 2003-2013 The Apache Software Foundation. All Rights Reserved.