org.apache.commons.math3.analysis.function
Class Gaussian.Parametric
java.lang.Object
org.apache.commons.math3.analysis.function.Gaussian.Parametric
- All Implemented Interfaces:
- ParametricUnivariateFunction
- Enclosing class:
- Gaussian
public static class Gaussian.Parametric
- extends Object
- implements ParametricUnivariateFunction
Parametric function where the input array contains the parameters of
the Gaussian, ordered as follows:
- Norm
- Mean
- Standard deviation
|
Method Summary |
double[] |
gradient(double x,
double... param)
Computes the value of the gradient at x. |
double |
value(double x,
double... param)
Computes the value of the Gaussian at x. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Gaussian.Parametric
public Gaussian.Parametric()
value
public double value(double x,
double... param)
throws NullArgumentException,
DimensionMismatchException,
NotStrictlyPositiveException
- Computes the value of the Gaussian at
x.
- Specified by:
value in interface ParametricUnivariateFunction
- Parameters:
x - Value for which the function must be computed.param - Values of norm, mean and standard deviation.
- Returns:
- the value of the function.
- Throws:
NullArgumentException - if param is null.
DimensionMismatchException - if the size of param is
not 3.
NotStrictlyPositiveException - if param[2] is negative.
gradient
public double[] gradient(double x,
double... param)
throws NullArgumentException,
DimensionMismatchException,
NotStrictlyPositiveException
- Computes the value of the gradient at
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).
- Specified by:
gradient in interface ParametricUnivariateFunction
- Parameters:
x - Value at which the gradient must be computed.param - Values of norm, mean and standard deviation.
- Returns:
- the gradient vector at
x.
- Throws:
NullArgumentException - if param is null.
DimensionMismatchException - if the size of param is
not 3.
NotStrictlyPositiveException - if param[2] is negative.
Copyright © 2003-2013 The Apache Software Foundation. All Rights Reserved.