Genfun::BivariateGaussian Class Reference

#include <BivariateGaussian.hh>

Inheritance diagram for Genfun::BivariateGaussian:

Public Member Functions
	BivariateGaussian ()
	BivariateGaussian (const BivariateGaussian &right)
virtual	~BivariateGaussian ()
virtual double	operator() (double argument) const override
virtual double	operator() (const Argument &a) const override
virtual unsigned int	dimensionality () const override
Parameter &	mean0 ()
const Parameter &	mean0 () const
Parameter &	mean1 ()
const Parameter &	mean1 () const
Parameter &	sigma0 ()
const Parameter &	sigma0 () const
Parameter &	sigma1 ()
const Parameter &	sigma1 () const
Parameter &	corr01 ()
const Parameter &	corr01 () const
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 BivariateGaussian.hh.

Constructor & Destructor Documentation

BivariateGaussian() [1/2]

Genfun::BivariateGaussian::BivariateGaussian

(

)

Definition at line 18 of file BivariateGaussian.cc.

                                    :
  _mean0("Mean0", 0.0,-10,10),
  _mean1("Mean1", 0.0,-10,10),
  _sigma0("Sigma0",1.0,0, 10),
  _sigma1("Sigma1",1.0,0, 10),
  _corr01("Corr01", 0.0, -1.0, 1.0)
{}

BivariateGaussian() [2/2]

Genfun::BivariateGaussian::BivariateGaussian

(

const BivariateGaussian &

right

)

Definition at line 29 of file BivariateGaussian.cc.

                                                                   :
  AbsFunction(right),
  _mean0(right._mean0),
  _mean1(right._mean1),
  _sigma0(right._sigma0),
  _sigma1(right._sigma1),
  _corr01(right._corr01)
{
}

~BivariateGaussian()

Genfun::BivariateGaussian::~BivariateGaussian ( )

virtual

Definition at line 26 of file BivariateGaussian.cc.

                                      {
}

Member Function Documentation

corr01() [1/2]

Parameter & Genfun::BivariateGaussian::corr01

(

)

Definition at line 95 of file BivariateGaussian.cc.

                                      {
  return _corr01;
}

corr01() [2/2]

const Parameter & Genfun::BivariateGaussian::corr01

(

)

const

Definition at line 99 of file BivariateGaussian.cc.

                                                  {
  return _corr01;
}

dimensionality()

unsigned int Genfun::BivariateGaussian::dimensionality ( ) const

overridevirtual

Reimplemented from Genfun::AbsFunction.

Definition at line 104 of file BivariateGaussian.cc.

                                                     {
  return 2;
}

mean0() [1/2]

Parameter & Genfun::BivariateGaussian::mean0

(

)

Definition at line 61 of file BivariateGaussian.cc.

                                     {
  return _mean0;
}

mean0() [2/2]

const Parameter & Genfun::BivariateGaussian::mean0

(

)

const

Definition at line 69 of file BivariateGaussian.cc.

                                                 {
  return _mean0;
}

mean1() [1/2]

Parameter & Genfun::BivariateGaussian::mean1

(

)

Definition at line 77 of file BivariateGaussian.cc.

                                     {
  return _mean1;
}

mean1() [2/2]

const Parameter & Genfun::BivariateGaussian::mean1

(

)

const

Definition at line 85 of file BivariateGaussian.cc.

                                                 {
  return _mean1;
}

operator()() [1/2]

double Genfun::BivariateGaussian::operator() ( const Argument &  a ) const

overridevirtual

Implements Genfun::AbsFunction.

Definition at line 39 of file BivariateGaussian.cc.

                                                              {
  assert (a.dimension()==2);
  double x = a[0];
  double y = a[1];
 
  double x0   = _mean0.getValue();
  double y0   = _mean1.getValue();
  double dx   = x-x0;
  double dy   = y-y0;
  
  double sx     = _sigma0.getValue();
  double sy     = _sigma1.getValue();
 
  double sxs    = sx*sx;
  double sys    = sy*sy;
  double rho    = _corr01.getValue();
  double dt     = (1.0+rho)*(1.0-rho);
 
  return (1.0/(2*M_PI*sx*sy*sqrt(dt))) * 
           exp(-1.0/(2.0*dt)*(dx*dx/sxs+dy*dy/sys-2.0*rho*dx*dy/sx/sy));
}

operator()() [2/2]

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

overridevirtual

Implements Genfun::AbsFunction.

Definition at line 108 of file BivariateGaussian.cc.

{
  std::cerr
    << "Warning.  bivariate Gaussian called with scalar argument"
    << std::endl;
  assert(0);
  return 0;
}

sigma0() [1/2]

Parameter & Genfun::BivariateGaussian::sigma0

(

)

Definition at line 65 of file BivariateGaussian.cc.

                                      {
  return _sigma0;
}

sigma0() [2/2]

const Parameter & Genfun::BivariateGaussian::sigma0

(

)

const

Definition at line 73 of file BivariateGaussian.cc.

                                                  {
  return _sigma0;
}

sigma1() [1/2]

Parameter & Genfun::BivariateGaussian::sigma1

(

)

Definition at line 81 of file BivariateGaussian.cc.

                                      {
  return _sigma1;
}

sigma1() [2/2]

const Parameter & Genfun::BivariateGaussian::sigma1

(

)

const

Definition at line 89 of file BivariateGaussian.cc.

                                                  {
  return _sigma1;
}

---

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

• BivariateGaussian.hh
• BivariateGaussian.cc