A means for accumulating values into a mean using two lists, one intermediate and one final, to keep as much precision as possible. More...

Collaboration diagram for gramods::gmMisc::AccumulativeMean< TYPE, FLOAT >:

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Public Member Functions
	AccumulativeMean (const TYPE &zero=0)

	AccumulativeMean (TYPE intermediate_value, size_t intermediate_count, TYPE mean_value, size_t mean_count, const TYPE &zero)

void	setDefaultFunc ()
	Creates default interpolation function.

AccumulativeMean &	operator+= (const TYPE &value)

	operator TYPE () const

Public Attributes
std::function< TYPE(FLOAT r, const TYPE &a, const TYPE &b)>	func_interp
	Function to estimate weighted mean, i.e.

Detailed Description

template<class TYPE, class FLOAT = float>
class gramods::gmMisc::AccumulativeMean< TYPE, FLOAT >

A means for accumulating values into a mean using two lists, one intermediate and one final, to keep as much precision as possible.

Member Function Documentation

template<class TYPE , class FLOAT = float>

void gramods::gmMisc::AccumulativeMean< TYPE, FLOAT >::setDefaultFunc ( )

inline

Creates default interpolation function.

template<class TYPE , class FLOAT = float>

std::function<TYPE(FLOAT r, const TYPE &a, const TYPE &b)> gramods::gmMisc::AccumulativeMean< TYPE, FLOAT >::func_interp

Function to estimate weighted mean, i.e.

(1-r) * a + ( r ) * b.

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

/home/karlu/private/program/gramods/modules/gmMisc/include/gmMisc/AccumulativeMean.hh