Genfun::Gaussian Class Reference

#include <Gaussian.hh>

Inheritance diagram for Genfun::Gaussian:

Public Member Functions
	Gaussian ()
	Gaussian (const Gaussian &right)
virtual	~Gaussian ()
virtual double	operator() (double argument) const override
virtual double	operator() (const Argument &a) const override
Parameter &	mean ()
const Parameter &	mean () const
Parameter &	sigma ()
const Parameter &	sigma () const
Derivative	partial (unsigned int) const override
virtual bool	hasAnalyticDerivative () const override
Public Member Functions inherited from Genfun::AbsFunction
	AbsFunction ()
	AbsFunction (const AbsFunction &right)
virtual	~AbsFunction ()
virtual unsigned int	dimensionality () const
virtual double	operator() (double argument) const =0
virtual double	operator() (const Argument &argument) const =0
virtual AbsFunction *	clone () const =0
virtual FunctionComposition	operator() (const AbsFunction &f) const
virtual ParameterComposition	operator() (const AbsParameter &p) const
Derivative	derivative (const Variable &v) const
Derivative	prime () const
virtual bool	hasAnalyticDerivative () const
virtual Derivative	partial (unsigned int) const

Detailed Description

Author

Definition at line 20 of file Gaussian.hh.

Constructor & Destructor Documentation

Gaussian() [1/2]

Genfun::Gaussian::Gaussian

(

)

Definition at line 19 of file Gaussian.cc.

                  :
  _mean("Mean", 0.0,-10,10),
  _sigma("Sigma",1.0,0, 10)
{}

Gaussian() [2/2]

Genfun::Gaussian::Gaussian

(

const Gaussian &

right

)

Definition at line 27 of file Gaussian.cc.

                                        :
AbsFunction(right),
_mean(right._mean),
_sigma(right._sigma)
{
}

~Gaussian()

Genfun::Gaussian::~Gaussian ( )

virtual

Definition at line 24 of file Gaussian.cc.

                    {
}

Member Function Documentation

hasAnalyticDerivative()

virtual bool Genfun::Gaussian::hasAnalyticDerivative ( ) const

inlineoverridevirtual

Reimplemented from Genfun::AbsFunction.

Definition at line 51 of file Gaussian.hh.

{return true;}

mean() [1/2]

Parameter & Genfun::Gaussian::mean

(

)

Definition at line 41 of file Gaussian.cc.

                           {
  return _mean;
}

mean() [2/2]

const Parameter & Genfun::Gaussian::mean

(

)

const

Definition at line 49 of file Gaussian.cc.

                                       {
  return _mean;
}

operator()() [1/2]

virtual double Genfun::Gaussian::operator() ( const Argument &  a ) const

inlineoverridevirtual

Implements Genfun::AbsFunction.

Definition at line 37 of file Gaussian.hh.

{return operator() (a[0]);}

operator()() [2/2]

double Genfun::Gaussian::operator() ( double  argument ) const

overridevirtual

Implements Genfun::AbsFunction.

Definition at line 34 of file Gaussian.cc.

                                           {
  double s   = _sigma.getValue();
  double x0  = _mean.getValue();
  return (1.0/(sqrt(2*M_PI)*s))*
      exp(-(x-x0)*(x-x0)/(2.0*s*s));
}

Referenced by operator()().

partial()

Derivative Genfun::Gaussian::partial ( unsigned int  index ) const

overridevirtual

Reimplemented from Genfun::AbsFunction.

Definition at line 68 of file Gaussian.cc.

                                                     {
  assert(index==0);
  Variable x;
  const AbsFunction & fPrime  = (*this)*(_mean-x)/_sigma/_sigma;
  return Derivative(&fPrime);
}

sigma() [1/2]

Parameter & Genfun::Gaussian::sigma

(

)

Definition at line 45 of file Gaussian.cc.

                            {
  return _sigma;
}

Referenced by Genfun::Erf::partial().

sigma() [2/2]

const Parameter & Genfun::Gaussian::sigma

(

)

const

Definition at line 53 of file Gaussian.cc.

                                        {
  return _sigma;
}

---

The documentation for this class was generated from the following files:

• Gaussian.hh
• Gaussian.cc