cbl::modelling::distribution Namespace Reference

The namespace of the distribution modelling More...

Classes
struct	STR_Distr_model
	the structure STR_Distr_model More...
class	Modelling_Distribution
	The class Modelling_Distribution. More...

Functions
std::vector< double >	model_gaussian (const std::vector< double > x, const std::shared_ptr< void > inputs, std::vector< double > &parameter)
	compute a Gaussian PDF More...
std::vector< double >	model_gaussian2 (const std::vector< double > x, const std::shared_ptr< void > inputs, std::vector< double > &parameter)
	compute a Gaussian PDF, where the standard deviation, \(\sigma\), is expressed as More...

Detailed Description

The namespace of the distribution modelling

The modelling::distribution namespace contains all the functions to model distributions

Function Documentation

model_gaussian()

std::vector< double > cbl::modelling::distribution::model_gaussian	(	const std::vector< double >	x,
		const std::shared_ptr< void >	inputs,
		std::vector< double > &	parameter
	)

compute a Gaussian PDF

Parameters

x	the points where the distribution is evaluated
inputs	model inputs
parameter	model parameters

Returns

the Gaussian PDF values

Definition at line 105 of file Modelling_Distribution.cpp.

model_gaussian2()

std::vector< double > cbl::modelling::distribution::model_gaussian2	(	const std::vector< double >	x,
		const std::shared_ptr< void >	inputs,
		std::vector< double > &	parameter
	)

compute a Gaussian PDF, where the standard deviation, \(\sigma\), is expressed as

\(\sigma=\sigma_0k,\)

where \(k\) is fixed, \(\sigma_0\) is a base parameter, and \(\sigma\) is a derived parameter.

Parameters

x	the points where the distribution is evaluated
inputs	model inputs
parameter	model parameters

Returns

the Gaussian PDF values

Definition at line 122 of file Modelling_Distribution.cpp.