globalStatistic Class Reference

Methods to manages the global statistic data. More...

Public Member Functions
	globalStatistic ()
	~globalStatistic ()
void	FilterCutoffGenerator (vector< double > values, int count, int loopNr)
void	outputArray (ofstream &outF)
void	updateRankedRmsArray (int loopNr, vector< double > rms)
void	updateRMSArray (int loopNr, multiset< ranking_helper2 > rmsh)

Detailed Description

Methods to manages the global statistic data.

Used to work with the data for the global statistic in the prop_calibration program.

Constructor & Destructor Documentation

globalStatistic

(

)

Basic contructor

~globalStatistic

(

)

Basic destructor

Member Function Documentation

void FilterCutoffGenerator	(	vector< double >	values,
		int	count,
		int	loopNr
	)

We check the first count values in the vector values for the minimum. This minimum is put into the proper array.

Parameters

pointer

to vector that contains the values(vector<double>) , elements in the vector(int),index for the filter cut off(int)

Returns

changes are made internally(void)

void outputArray

(

ofstream &

outF

)

The arrays in this class are written to the file the filehandle refers to.

Parameters

reference

to the output file(ofstream &)

Returns

changes are made internally(void)

void updateRankedRmsArray	(	int	loopNr,
		vector< double >	rms
	)

This function iterates over the rmsh array until BEST_COUNT is reached. In each loop the values of the RMS of the best BEST_COUNT solutions are stored. Also the array which contains the number of entries is updated If we have less than 6 surviving solutions, we take the worst solution and add it to the remaining arrays. Besides this, we update the statistic for the average number of surviving solutions.

Parameters

index

of the loop (int), pointer to vector that contains the rms values(vector<double>)

Returns

changes are made internally(void)

void updateRMSArray	(	int	loopNr,
		multiset< ranking_helper2 >	rmsh
	)

This function iterates over the rmsh array until BEST_COUNT is reached. In each loop the values of the RMS of the best BEST_COUNT solutions are stored. Also the array which contains the number of entries is updated. If we don't have le.BEST_COUNT solutions left, we fill the rest of the arrays with the worst rms value.

Parameters

loop	index(int), a set of ranking helpers(multiset<ranking_helper2> )

Returns

changes are made internally(void)

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

• Lobo/Sources/globalStatistic.h
• Lobo/Sources/globalStatistic.cc