public static class Gaussian.Parametric extends Object implements ParametricUnivariateFunction
Constructor and Description |
---|
Gaussian.Parametric() |
public double value(double x, double... param) throws NullArgumentException, DimensionMismatchException, NotStrictlyPositiveException
x
.value
in interface ParametricUnivariateFunction
x
- Value for which the function must be computed.param
- Values of norm, mean and standard deviation.NullArgumentException
- if param
is null
.DimensionMismatchException
- if the size of param
is
not 3.NotStrictlyPositiveException
- if param[2]
is negative.public double[] gradient(double x, double... param) throws NullArgumentException, DimensionMismatchException, NotStrictlyPositiveException
x
.
The components of the gradient vector are the partial
derivatives of the function with respect to each of the
parameters (norm, mean and standard deviation).gradient
in interface ParametricUnivariateFunction
x
- Value at which the gradient must be computed.param
- Values of norm, mean and standard deviation.x
.NullArgumentException
- if param
is null
.DimensionMismatchException
- if the size of param
is
not 3.NotStrictlyPositiveException
- if param[2]
is negative.Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.