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 ParametricUnivariateFunctionx - 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 ParametricUnivariateFunctionx - 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.