BFL::BFL Namespace Reference

Classes
class	DiscretePdf
	Class representing a PDF on a discrete variable. More...
class	MCPdf
	Monte Carlo Pdf: Sample based implementation of Pdf. More...
class	Mixture
	Class representing a mixture of PDFs, the mixture can contain different. More...
class	Pdf
	Class PDF: Virtual Base class representing Probability Density Functions. More...
class	Probability
	Class representing a probability (a double between 0 and 1) More...
class	Sample
class	WeightedSample
Functions
template<typename S >
ostream &	operator<< (ostream &stream, WeightedSample< S > &mws)
template<typename S >
ostream &	operator<< (ostream &stream, Sample< S > &my_sample)
template<typename S >
istream &	operator>> (istream &stream, Sample< S > &my_sample)
double	rnorm (const double &mu, const double &sigma)
double	runif ()
double	runif (const double &min, const double &max)

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Function Documentation

template<typename S >

ostream & BFL::BFL::operator<<	(	ostream &	stream,
		WeightedSample< S > &	mws
	)

Parameters:

stream	the stream to be returned
mws	the weighted sample to be printed

Returns:

the stream :-)

Definition at line 116 of file asirfilter.h.

template<typename S >

ostream & BFL::BFL::operator<<	(	ostream &	stream,
		Sample< S > &	my_sample
	)

Parameters:

stream	the stream to be returned
my_sample	the sample to be printed

Returns:

the stream :-)

Definition at line 155 of file asirfilter.h.

template<typename S >

istream & BFL::BFL::operator>>	(	istream &	stream,
		Sample< S > &	my_sample
	)

Definition at line 161 of file asirfilter.h.

double BFL::BFL::rnorm	(	const double &	mu,
		const double &	sigma
	)

double BFL::BFL::runif

(

)

double BFL::BFL::runif	(	const double &	min,
		const double &	max
	)