#include <fitting.h>

Inheritance diagram for FunctionFitDerivative:

Public Member Functions
	FunctionFitDerivative ()

	~FunctionFitDerivative ()

bool	init (ModelFunction &model_func, unsigned int nvals)

bool	fit (const Array< float, 1 > &yvals, const Array< float, 1 > &ysigma=defaultArray, const Array< float, 1 > &xvals=defaultArray, unsigned int max_iterations=DEFAULT_MAX_ITER, double tolerance=DEFAULT_TOLERANCE)

Detailed Description

Class which is used for derivative-based fitting of functions.

Definition at line 159 of file fitting.h.

Constructor & Destructor Documentation

◆ FunctionFitDerivative()

FunctionFitDerivative::FunctionFitDerivative ( )

inline

Constructs uninitialized function fit

Definition at line 166 of file fitting.h.

◆ ~FunctionFitDerivative()

FunctionFitDerivative::~FunctionFitDerivative ( )

Destructor

Member Function Documentation

◆ fit()

bool FunctionFitDerivative::fit	(	const Array< float, 1 > &	yvals,
		const Array< float, 1 > &	ysigma = `defaultArray`,
		const Array< float, 1 > &	xvals = `defaultArray`,
		unsigned int	max_iterations = `DEFAULT_MAX_ITER`,
		double	tolerance = `DEFAULT_TOLERANCE`
	)

virtual

The fitting routine that takes the starting values from the model function, y-values 'yvals', and optionally the corresponding y-error bars 'ysigma' and x-vals 'xvals'. If no error-bars are given, they are all set to 0.1 and if no x-vals are given equidistant points with an increment of one are chosen, i.e. xvals(i)=i; A maximum of 'max_iterations' iterations and the given 'tolerance' is used during the fit. Returns true on success.

Implements FunctionFitInterface.

◆ init()

bool FunctionFitDerivative::init	(	ModelFunction &	model_func,
		unsigned int	nvals
	)