Namespace for the fitting classes. More...

Namespaces
	FitUtil
	namespace defining utility free functions using in Fit for evaluating the various fit method functions (chi2, likelihood, etc..) given the data and the model function

Classes
class	BasicFCN
	BasicFCN class: base class for the objective functions used in the fits It has a reference to the data and th emodel function used in the fit. More...

class	BinData
	Class describing the binned data sets : vectors of x coordinates, y values and optionally error on y values and error on coordinates The dimension of the coordinate is free There are 4 different options: More...

class	Chi2FCN
	Chi2FCN class for binnned fits using the least square methods. More...

struct	DataOptions
	DataOptions : simple structure holding the options on how the data are filled. More...

class	DataRange
	class describing the range in the coordinates it supports multiple range in a coordinate. More...

struct	DummyDeleter

class	FcnAdapter

class	FitConfig
	Class describing the configuration of the fit, options and parameter settings using the ROOT::Fit::ParameterSettings class. More...

class	FitData
	Base class for all the fit data types: Stores the coordinates and the DataOptions. More...

class	FitResult
	class containg the result of the fit and all the related information (fitted parameter values, error, covariance matrix and minimizer result information) Contains a pointer also to the fitted (model) function, modified with the fit parameter values. More...

class	Fitter
	Fitter class, entry point for performing all type of fits. More...

class	LogLikelihoodFCN
	LogLikelihoodFCN class for likelihood fits. More...

class	ParameterSettings
	Class, describing value, limits and step size of the parameters Provides functionality also to set/retrieve values, step sizes, limits and fix the parameters. More...

class	PoissonLikelihoodFCN
	class evaluating the log likelihood for binned Poisson likelihood fits it is template to distinguish gradient and non-gradient case More...

class	SparseData

class	UnBinData
	Class describing the unbinned data sets (just x coordinates values) of any dimensions. More...

Enumerations
enum	ExecutionPolicy { ExecutionPolicy::kSerial, ExecutionPolicy::kMultithread, ExecutionPolicy::kMultiprocess }

Functions
void	DivideBox (const vector< double > &min, const vector< double > &max, const vector< double > &bmin, const vector< double > &bmax, const unsigned int size, const unsigned int n, list< Box > &l, const double val, const double error)

bool	lessRange (const std::pair< double, double > &r1, const std::pair< double, double > &r2)

ostream &	operator<< (ostream &os, const ROOT::Fit::Box &b)

Variables
double	gDefaultErrorDef = ROOT::Math::MinimizerOptions::DefaultErrorDef()

const int	gInitialResultStatus = -99

Detailed Description

Namespace for the fitting classes.

Typedef Documentation

◆ Chi2Function

typedef Chi2FCN<ROOT::Math::IMultiGenFunction,ROOT::Math::IParamMultiFunction> ROOT::Fit::Chi2Function

Definition at line 170 of file Chi2FCN.h.

◆ Chi2GradFunction

typedef Chi2FCN<ROOT::Math::IMultiGradFunction, ROOT::Math::IParamMultiFunction> ROOT::Fit::Chi2GradFunction

Definition at line 171 of file Chi2FCN.h.

◆ LogLikelihoodFunction

typedef LogLikelihoodFCN<ROOT::Math::IMultiGenFunction, ROOT::Math::IParamMultiFunction> ROOT::Fit::LogLikelihoodFunction

Definition at line 180 of file LogLikelihoodFCN.h.

◆ LogLikelihoodGradFunction

typedef LogLikelihoodFCN<ROOT::Math::IMultiGradFunction, ROOT::Math::IParamMultiFunction> ROOT::Fit::LogLikelihoodGradFunction

Definition at line 181 of file LogLikelihoodFCN.h.

◆ PoissonLLFunction

typedef PoissonLikelihoodFCN<ROOT::Math::IMultiGenFunction, ROOT::Math::IParamMultiFunction> ROOT::Fit::PoissonLLFunction

Definition at line 190 of file PoissonLikelihoodFCN.h.

◆ PoissonLLGradFunction

typedef PoissonLikelihoodFCN<ROOT::Math::IMultiGradFunction, ROOT::Math::IParamMultiFunction> ROOT::Fit::PoissonLLGradFunction

Definition at line 191 of file PoissonLikelihoodFCN.h.

Enumeration Type Documentation

◆ ExecutionPolicy

enum ROOT::Fit::ExecutionPolicy

strong

Enumerator
kSerial
kMultithread
kMultiprocess

Definition at line 5 of file FitExecutionPolicy.h.

Function Documentation

◆ DivideBox()

void ROOT::Fit::DivideBox	(	const vector< double > &	min,
		const vector< double > &	max,
		const vector< double > &	bmin,
		const vector< double > &	bmax,
		const unsigned int	size,
		const unsigned int	n,
		list< Box > &	l,
		const double	val,
		const double	error
	)

Definition at line 152 of file SparseData.cxx.

◆ lessRange()

bool ROOT::Fit::lessRange	(	const std::pair< double, double > &	r1,
		const std::pair< double, double > &	r2
	)

Definition at line 73 of file DataRange.cxx.

◆ operator<<()

ostream& ROOT::Fit::operator<<	(	ostream &	os,
		const ROOT::Fit::Box &	b
	)

Definition at line 364 of file SparseData.cxx.

Variable Documentation

◆ gDefaultErrorDef

double ROOT::Fit::gDefaultErrorDef = ROOT::Math::MinimizerOptions::DefaultErrorDef()

Definition at line 49 of file Fitter.cxx.

◆ gInitialResultStatus

const int ROOT::Fit::gInitialResultStatus = -99

Definition at line 43 of file FitResult.cxx.

Typedefs
typedef Chi2FCN< ROOT::Math::IMultiGenFunction, ROOT::Math::IParamMultiFunction >	Chi2Function

typedef Chi2FCN< ROOT::Math::IMultiGradFunction, ROOT::Math::IParamMultiFunction >	Chi2GradFunction

typedef LogLikelihoodFCN< ROOT::Math::IMultiGenFunction, ROOT::Math::IParamMultiFunction >	LogLikelihoodFunction

typedef LogLikelihoodFCN< ROOT::Math::IMultiGradFunction, ROOT::Math::IParamMultiFunction >	LogLikelihoodGradFunction

typedef PoissonLikelihoodFCN< ROOT::Math::IMultiGenFunction, ROOT::Math::IParamMultiFunction >	PoissonLLFunction

typedef PoissonLikelihoodFCN< ROOT::Math::IMultiGradFunction, ROOT::Math::IParamMultiFunction >	PoissonLLGradFunction

Namespaces

Classes

Typedefs

Enumerations

Functions

Variables