Average together a (nearly) arbitrary number of container-like objects using the recursive definition of the expected value defined by: More...

#include <jalgorithm.h>

Public Member Functions
	RecurseMean (uint num_samples)

void	operator() (const T &next_value)
	Average together a new value. More...

void	Reset ()

T::value_type	Index ()

T	ReturnValue ()

Detailed Description

template<typename T>
class jaspl::RecurseMean< T >

Average together a (nearly) arbitrary number of container-like objects using the recursive definition of the expected value defined by:

$\mu_i = \frac{ i - 1 }{ i } \mu_{ i - 1 } + \frac{1}{i} x_i\\ \text{ for } x_i \in \mathbb{R}^n \ \mu_i \in \mathcal{R} \\ \text{ and running index } i \in \mathbb{N}$

Template parameter needs to be a container-liker object filled with floating-point values.

Definition at line 34 of file jalgorithm.h.

Member Function Documentation

template<typename T >

void jaspl::RecurseMean< T >::operator() ( const T & next_value )

Average together a new value.

Parameters

next_value The container to be averaged

Public Member Functions

Detailed Description

template<typename T> class jaspl::RecurseMean< T >

Member Function Documentation

template<typename T>
class jaspl::RecurseMean< T >