SingleGaussianState< N > Class Template Reference

#include <SingleGaussianState.h>

List of all members.

Public Types
typedef ROOT::Math::SMatrix < double, N, N, ROOT::Math::MatRepSym< double, N > >	Matrix
typedef ROOT::Math::SVector < double, N >	Vector
Public Member Functions
const Matrix &	covariance () const
	covariance matrix
unsigned int	dimension () const
	size of parameter vector
const Vector &	mean () const
	parameter vector
void	rescaleWeight (double scale)
	change weight
	SingleGaussianState ()
	SingleGaussianState (const Vector &aMean, const Matrix &aCovariance, double aWeight=1.)
double	weight () const
	weight
const Matrix &	weightMatrix () const
	weight matrix
	~SingleGaussianState ()
Private Attributes
Matrix	theCovariance
bool	theHasWeightMatrix
Vector	theMean
double	theWeight
Matrix	theWeightMatrix

---

Detailed Description

template<unsigned int N>
class SingleGaussianState< N >

Multi-dimensional (single) Gaussian state. Used for the description of Gaussian mixtures.

Definition at line 11 of file SingleGaussianState.h.

---

Member Typedef Documentation

template<unsigned int N>

typedef ROOT::Math::SMatrix<double,N,N,ROOT::Math::MatRepSym<double,N> > SingleGaussianState< N >::Matrix

Definition at line 14 of file SingleGaussianState.h.

template<unsigned int N>

typedef ROOT::Math::SVector<double, N> SingleGaussianState< N >::Vector

Definition at line 13 of file SingleGaussianState.h.

---

Constructor & Destructor Documentation

template<unsigned int N>

SingleGaussianState< N >::SingleGaussianState

(

)

[inline]

Definition at line 17 of file SingleGaussianState.h.

                        :
    theHasWeightMatrix(false) {
//     ++instances_;++maxInstances_;
  }

template<unsigned int N>

SingleGaussianState< N >::SingleGaussianState	(	const Vector &	aMean,
		const Matrix &	aCovariance,
		double	aWeight = 1.
	)		[inline]

Definition at line 28 of file SingleGaussianState.h.

                                              : 
    theCovariance(aCovariance), theMean(aMean), theWeight(aWeight), 
    theHasWeightMatrix(false) {
//     ++instances_;++maxInstances_;
  }

template<unsigned int N>

SingleGaussianState< N >::~SingleGaussianState

(

)

[inline]

Definition at line 36 of file SingleGaussianState.h.

                         {
//     --instances_;
  }

---

Member Function Documentation

template<unsigned int N>

const Matrix& SingleGaussianState< N >::covariance

(

void

)

const [inline]

covariance matrix

Definition at line 54 of file SingleGaussianState.h.

References SingleGaussianState< N >::theCovariance.

Referenced by MultiGaussianStateTransform::tsosFromSingleState().

{return theCovariance;}

template<unsigned int N>

unsigned int SingleGaussianState< N >::dimension

(

)

const [inline]

size of parameter vector

Definition at line 58 of file SingleGaussianState.h.

References MultiGaussianStateTransform::N.

{return N;}

template<unsigned int N>

const Vector& SingleGaussianState< N >::mean

(

)

const [inline]

parameter vector

Definition at line 52 of file SingleGaussianState.h.

References SingleGaussianState< N >::theMean.

Referenced by MultiGaussianStateTransform::tsosFromSingleState().

{return theMean;}

template<unsigned int N>

void SingleGaussianState< N >::rescaleWeight

(

double

scale

)

[inline]

change weight

Definition at line 60 of file SingleGaussianState.h.

References SingleGaussianState< N >::theWeight.

{theWeight *= scale;}

template<unsigned int N>

double SingleGaussianState< N >::weight

(

)

const [inline]

weight

Creates a new single-state with the given information. For this base class, no information is passed from the initial instance.

Definition at line 50 of file SingleGaussianState.h.

References SingleGaussianState< N >::theWeight.

{return theWeight;}

template<unsigned int N>

const Matrix& SingleGaussianState< N >::weightMatrix

(

)

const

weight matrix

---

Member Data Documentation

template<unsigned int N>

Matrix SingleGaussianState< N >::theCovariance [private]

Definition at line 64 of file SingleGaussianState.h.

Referenced by SingleGaussianState< N >::covariance().

template<unsigned int N>

bool SingleGaussianState< N >::theHasWeightMatrix [mutable, private]

Definition at line 69 of file SingleGaussianState.h.

template<unsigned int N>

Vector SingleGaussianState< N >::theMean [private]

Definition at line 65 of file SingleGaussianState.h.

Referenced by SingleGaussianState< N >::mean().

template<unsigned int N>

double SingleGaussianState< N >::theWeight [private]

Definition at line 66 of file SingleGaussianState.h.

Referenced by SingleGaussianState< N >::rescaleWeight(), and SingleGaussianState< N >::weight().

template<unsigned int N>

Matrix SingleGaussianState< N >::theWeightMatrix [mutable, private]

Definition at line 68 of file SingleGaussianState.h.