MipBaselib::Discrete Class Reference
[Probability Density Functions (PDF) and Hypotesis Densities (PHD)]

Provides a class to represent the generic Discrete pdf. More...

#include <Discrete.h>

Inheritance diagram for MipBaselib::Discrete:

List of all members.

Public Member Functions
	Discrete ()
	Default Constructor.
	Discrete (DCol &x, DCol &p)
	Complete Constructor.
	Discrete (const Discrete &g)
	Copy Constructor.
void	operator= (const Discrete &g)
	Operator =.
DCol	expectedValue ()
	Returns the expected value.
Decimal	covariance (int row, int col)
	Returns the (row-th, col-th) element of the covariance matrix.
Decimal	covariance ()
	Returns the covariance matrix as a vector of vector with the appropriate size.
Decimal	evaluate (DCol p)
	Returns the the value of the pdf in the given position.
void	printCovInv ()
	Print the invese of the covariance.
virtual string	print ()
	Returns the the value of the pdf in the given position.
bool	findValue (int v, Decimal &pr)
	Returns if a given value is present in the distribution.
void	addValue (int v, Decimal pr)
	Add a new value or add the probability to an existing value.
void	addValue (ProbabilityMass a)
	Add a new value or add the probability to an existing value.
void	normalize ()
	Normalize the probability to 1.

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Detailed Description

Provides a class to represent the generic Discrete pdf.

Author:

Paolo Stegagno

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Constructor & Destructor Documentation

MipBaselib::Discrete::Discrete

(

)

Default Constructor.

MipBaselib::Discrete::Discrete	(	DCol &	x,
		DCol &	p
	)

Complete Constructor.

Parameters:

[in]	m	Values.
[in]	c	probability of the values.

MipBaselib::Discrete::Discrete

(

const Discrete &

g

)

Copy Constructor.

Parameters:

[in]

&g

Copied Discrete.

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Member Function Documentation

void MipBaselib::Discrete::operator=

(

const Discrete &

g

)

Operator =.

Parameters:

[in]

&g

Copied Discrete.

DCol MipBaselib::Discrete::expectedValue

(

)

[virtual]

Returns the expected value.

Implements MipBaselib::PDF.

Decimal MipBaselib::Discrete::covariance	(	int	row,
		int	col
	)			[virtual]

Returns the (row-th, col-th) element of the covariance matrix.

Parameters:

[in]	row	Requested row.
[in]	col	Requested column.

Implements MipBaselib::PDF.

Decimal MipBaselib::Discrete::covariance

(

)

Returns the covariance matrix as a vector of vector with the appropriate size.

Decimal MipBaselib::Discrete::evaluate

(

DCol

p

)

[virtual]

Returns the the value of the pdf in the given position.

Parameters:

[in]

col

Requested position.

Implements MipBaselib::PDF.

void MipBaselib::Discrete::printCovInv

(

)

Print the invese of the covariance.

Parameters:

[in]

col

Requested position.

string MipBaselib::Discrete::print

(

)

[virtual]

Returns the the value of the pdf in the given position.

Parameters:

[in]

col

Requested position.

bool MipBaselib::Discrete::findValue	(	int	v,
		Decimal &	pr
	)

Returns if a given value is present in the distribution.

Parameters:

[in]	v	Requested value.
[out]	&pr	Writes here the probability of the given value, if value is found.

Returns:

true if value is in the distribution, false otherwise.

void MipBaselib::Discrete::addValue	(	int	v,
		Decimal	pr
	)

Add a new value or add the probability to an existing value.

Parameters:

[in]	v	New Value.
[in]	pr	Probability of the new value.

void MipBaselib::Discrete::addValue

(

ProbabilityMass

a

)

Add a new value or add the probability to an existing value.

Parameters:

[in]

v

New Probability mass.

void MipBaselib::Discrete::normalize

(

)

Normalize the probability to 1.

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

• baselib/PDFs/Discrete.h
• baselib/PDFs/Discrete.cpp