Class Gaussian.Parametric

Method Details

• 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.