Herwig::BinnedStatistics Class Reference

Aka histogram, yet not intented for analyses. More...

#include <BinnedStatistics.h>

List of all members.

Public Member Functions
double	sample (double &point)
	Sample a point and return its weight to be divided out as a bias.
void	bin (double point)
	Get a bin corresponding to a given point.
void	select (double w)
	Select the last sampled point with a given weight.
void	accept ()
	Accept the last sampled point.
void	reject ()
	Reject the last sampled point.
void	initialize (unsigned int bins)
	Initialize with flat sampling over the complete range, using the given number of bins to accumulate statistics.
const map< double, GeneralStatistics > &	statistics () const
	Return the bins.
template<class Adaptor >
void	update (const Adaptor &ap)
	Update the sampling bins to reflect the accumulated statistics and binning used.
template<class Adaptor >
void	adapt (const Adaptor &ap)
	Half those bins, which meet the given predicate and update the statistics.
Standard constructors and destructors.
	BinnedStatistics ()
	The default constructor.
	BinnedStatistics (unsigned int bins, double threshold=0.001)
	The standard constructor.
virtual	~BinnedStatistics ()
	The destructor.
Functions used by the persistent I/O system.
void	put (PersistentOStream &os) const
	Function used to write out object persistently.
void	get (PersistentIStream &is)
	Function used to read in object persistently.
Private Attributes
map< double, GeneralStatistics >	statisticsMap
	Map upper bin boundaries to statistics contained.
map< double, double >	weightMap
	Map upper bin boundaries to bin weights currently used.
map< double, pair< double, double > >	selectorMap
	Selector map to sample a point.
double	lastPoint
	The last sampled point.
GeneralStatistics *	lastStatistics
	The statistics relevant to the last sampled point.
double	theWeightThreshold
	The weight threshold which governs the minimum bin weight.

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Detailed Description

Aka histogram, yet not intented for analyses.

Author:

Simon Platzer

Definition at line 33 of file BinnedStatistics.h.

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Member Function Documentation

void Herwig::BinnedStatistics::get

(

PersistentIStream &

is

)

Function used to read in object persistently.

Parameters:

is	the persistent input stream read from.
version	the version number of the object when written.

void Herwig::BinnedStatistics::put

(

PersistentOStream &

os

)

const

Function used to write out object persistently.

Parameters:

os	the persistent output stream written to.

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Member Data Documentation

map<double,GeneralStatistics> Herwig::BinnedStatistics::statisticsMap [private]

Map upper bin boundaries to statistics contained.

The lower bin boundary is always 0.

Definition at line 200 of file BinnedStatistics.h.

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

• BinnedStatistics.h