Base Minimizer class, which defines the basic functionality of various minimizer implementations (apart from Minuit and Minuit2) It provides support for storing parameter values, step size, parameter transformation etc.

. in case real minimizer implementations do not provide such functionality. This is an internal class and should not be used directly by the user

Definition at line 54 of file BasicMinimizer.h.

Public Member Functions
	BasicMinimizer ()
	Default constructor.

	~BasicMinimizer () override
	Destructor.

bool	FixVariable (unsigned int ivar) override
	fix an existing variable

bool	GetVariableSettings (unsigned int ivar, ROOT::Fit::ParameterSettings &varObj) const override
	get variable settings in a variable object (like ROOT::Fit::ParamsSettings)

const ROOT::Math::IMultiGradFunction *	GradObjFunction () const
	return pointer to used gradient object function (NULL if gradient is not supported)

bool	IsFixedVariable (unsigned int ivar) const override
	query if an existing variable is fixed (i.e.

bool	Minimize () override
	method to perform the minimization

double	MinValue () const override
	return minimum function value

unsigned int	NDim () const override
	number of dimensions

unsigned int	NFree () const override
	number of free variables (real dimension of the problem)

virtual unsigned int	NPar () const
	total number of parameter defined

const ROOT::Math::IMultiGenFunction *	ObjFunction () const
	return pointer to used objective function

void	PrintResult () const
	print result of minimization

bool	ReleaseVariable (unsigned int ivar) override
	release an existing variable

bool	SetFixedVariable (unsigned int, const std::string &, double) override
	set fixed variable (override if minimizer supports them )

void	SetFunction (const ROOT::Math::IMultiGenFunction &func) override
	set the function to minimize

void	SetFunction (const ROOT::Math::IMultiGradFunction &func) override
	set gradient the function to minimize

bool	SetLimitedVariable (unsigned int ivar, const std::string &name, double val, double step, double, double) override
	set upper/lower limited variable (override if minimizer supports them )

bool	SetLowerLimitedVariable (unsigned int ivar, const std::string &name, double val, double step, double lower) override
	set lower limit variable (override if minimizer supports them )

bool	SetUpperLimitedVariable (unsigned int ivar, const std::string &name, double val, double step, double upper) override
	set upper limit variable (override if minimizer supports them )

bool	SetVariable (unsigned int ivar, const std::string &name, double val, double step) override
	set free variable

bool	SetVariableLimits (unsigned int ivar, double lower, double upper) override
	set the limits of an already existing variable

bool	SetVariableLowerLimit (unsigned int ivar, double lower) override
	set the lower-limit of an already existing variable

bool	SetVariableStepSize (unsigned int ivar, double step) override
	set the step size of an already existing variable

bool	SetVariableUpperLimit (unsigned int ivar, double upper) override
	set the upper-limit of an already existing variable

bool	SetVariableValue (unsigned int ivar, double val) override
	set the value of an existing variable

bool	SetVariableValues (const double *x) override
	set the values of all existing variables (array must be dimensioned to the size of existing parameters)

virtual const double *	StepSizes () const
	accessor methods

int	VariableIndex (const std::string &name) const override
	get index of variable given a variable given a name return -1 if variable is not found

std::string	VariableName (unsigned int ivar) const override
	get name of variables (override if minimizer support storing of variable names)

const double *	X () const override
	return pointer to X values at the minimum

Public Member Functions inherited from ROOT::Math::Minimizer
	Minimizer ()
	Default constructor.

virtual	~Minimizer ()
	Destructor (no operations)

virtual void	Clear ()
	reset for consecutive minimization - implement if needed

virtual bool	Contour (unsigned int ivar, unsigned int jvar, unsigned int &npoints, double xi, double xj)
	find the contour points (xi, xj) of the function for parameter ivar and jvar around the minimum The contour will be find for value of the function = Min + ErrorUp();

virtual double	Correlation (unsigned int i, unsigned int j) const
	return correlation coefficient between variable i and j.

virtual double	CovMatrix (unsigned int ivar, unsigned int jvar) const
	return covariance matrices element for variables ivar,jvar if the variable is fixed the return value is zero The ordering of the variables is the same as in the parameter and errors vectors

virtual int	CovMatrixStatus () const
	return status of covariance matrix using Minuit convention {0 not calculated 1 approximated 2 made pos def , 3 accurate} Minimizer who implements covariance matrix calculation will re-implement the method

virtual double	Edm () const
	return expected distance reached from the minimum (re-implement if minimizer provides it

double	ErrorDef () const
	return the statistical scale used for calculate the error is typically 1 for Chi2 and 0.5 for likelihood minimization

virtual const double *	Errors () const
	return errors at the minimum

virtual bool	GetCovMatrix (double *covMat) const
	Fill the passed array with the covariance matrix elements if the variable is fixed or const the value is zero.

virtual bool	GetHessianMatrix (double *hMat) const
	Fill the passed array with the Hessian matrix elements The Hessian matrix is the matrix of the second derivatives and is the inverse of the covariance matrix If the variable is fixed or const the values for that variables are zero.

virtual bool	GetMinosError (unsigned int ivar, double &errLow, double &errUp, int option=0)
	minos error for variable i, return false if Minos failed or not supported and the lower and upper errors are returned in errLow and errUp An extra flag specifies if only the lower (option=-1) or the upper (option=+1) error calculation is run

virtual double	GlobalCC (unsigned int ivar) const
	return global correlation coefficient for variable i This is a number between zero and one which gives the correlation between the i-th parameter and that linear combination of all other parameters which is most strongly correlated with i.

virtual bool	Hesse ()
	perform a full calculation of the Hessian matrix for error calculation

bool	IsValidError () const
	return true if Minimizer has performed a detailed error validation (e.g. run Hesse for Minuit)

unsigned int	MaxFunctionCalls () const
	max number of function calls

unsigned int	MaxIterations () const
	max iterations

virtual const double *	MinGradient () const
	return pointer to gradient values at the minimum

virtual int	MinosStatus () const
	status code of Minos (to be re-implemented by the minimizers supporting Minos)

virtual unsigned int	NCalls () const
	number of function calls to reach the minimum

virtual unsigned int	NIterations () const
	number of iterations to reach the minimum

virtual MinimizerOptions	Options () const
	retrieve the minimizer options (implement derived class if needed)

double	Precision () const
	precision of minimizer in the evaluation of the objective function ( a value <=0 corresponds to the let the minimizer choose its default one)

int	PrintLevel () const
	minimizer configuration parameters

virtual void	PrintResults ()
	return reference to the objective function virtual const ROOT::Math::IGenFunction & Function() const = 0;

virtual bool	ProvidesError () const
	minimizer provides error and error matrix

virtual bool	Scan (unsigned int ivar, unsigned int &nstep, double x, double y, double xmin=0, double xmax=0)
	scan function minimum for variable i.

void	SetDefaultOptions ()
	reset the default options (defined in MinimizerOptions)

void	SetErrorDef (double up)
	set scale for calculating the errors

void	SetExtraOptions (const IOptions &extraOptions)
	set only the extra options

virtual void	SetHessianFunction (std::function< bool(const std::vector< double > &, double *)>)
	set the function implementing Hessian computation (re-implemented by Minimizer using it)

void	SetMaxFunctionCalls (unsigned int maxfcn)
	set maximum of function calls

void	SetMaxIterations (unsigned int maxiter)
	set maximum iterations (one iteration can have many function calls)

void	SetOptions (const MinimizerOptions &opt)
	set all options in one go

void	SetPrecision (double prec)
	set in the minimizer the objective function evaluation precision ( a value <=0 means the minimizer will choose its optimal value automatically, i.e.

void	SetPrintLevel (int level)
	set print level

void	SetStrategy (int strategyLevel)
	set the strategy

void	SetTolerance (double tol)
	set the tolerance

void	SetValidError (bool on)
	flag to check if minimizer needs to perform accurate error analysis (e.g. run Hesse for Minuit)

virtual bool	SetVariableInitialRange (unsigned int, double, double)
	set the initial range of an existing variable

template<class VariableIterator >
int	SetVariables (const VariableIterator &begin, const VariableIterator &end)
	add variables . Return number of variables successfully added

int	Status () const
	status code of minimizer

int	Strategy () const
	strategy

double	Tolerance () const
	absolute tolerance

Protected Member Functions
bool	CheckDimension () const

bool	CheckObjFunction () const

MinimTransformFunction *	CreateTransformation (std::vector< double > &startValues, const ROOT::Math::IMultiGradFunction *func=nullptr)

void	SetFinalValues (const double x, const MinimTransformFunction func=nullptr)

void	SetMinValue (double val)

Private Member Functions
	BasicMinimizer (const BasicMinimizer &)
	Copy constructor.

BasicMinimizer &	operator= (const BasicMinimizer &rhs)
	Assignment operator.

Private Attributes
std::map< unsigned int, std::pair< double, double > >	fBounds
	map specifying the bound using as key the parameter index

unsigned int	fDim

double	fMinVal

std::vector< std::string >	fNames

const ROOT::Math::IMultiGenFunction *	fObjFunc

std::vector< double >	fSteps

std::vector< double >	fValues

std::vector< ROOT::Math::EMinimVariableType >	fVarTypes
	vector specifying the type of variables

Additional Inherited Members
Protected Attributes inherited from ROOT::Math::Minimizer
MinimizerOptions	fOptions
	minimizer options

int	fStatus
	status of minimizer

bool	fValidError
	flag to control if errors have been validated (Hesse has been run in case of Minuit)

#include <Math/BasicMinimizer.h>

Inheritance diagram for ROOT::Math::BasicMinimizer:

[legend]

Constructor & Destructor Documentation

◆ BasicMinimizer() [1/2]

ROOT::Math::BasicMinimizer::BasicMinimizer ( )

Default constructor.

Definition at line 43 of file BasicMinimizer.cxx.

◆ ~BasicMinimizer()

ROOT::Math::BasicMinimizer::~BasicMinimizer ( )

override

Destructor.

Definition at line 59 of file BasicMinimizer.cxx.

◆ BasicMinimizer() [2/2]

ROOT::Math::BasicMinimizer::BasicMinimizer ( const BasicMinimizer & )

inlineprivate

Copy constructor.

Definition at line 75 of file BasicMinimizer.h.

Member Function Documentation

◆ CheckDimension()

bool ROOT::Math::BasicMinimizer::CheckDimension ( ) const

protected

Definition at line 254 of file BasicMinimizer.cxx.

◆ CheckObjFunction()

bool ROOT::Math::BasicMinimizer::CheckObjFunction ( ) const

protected

Definition at line 263 of file BasicMinimizer.cxx.

◆ CreateTransformation()

MinimTransformFunction * ROOT::Math::BasicMinimizer::CreateTransformation	(	std::vector< double > &	startValues,
		const ROOT::Math::IMultiGradFunction *	func = `nullptr`
	)

protected

Definition at line 272 of file BasicMinimizer.cxx.

◆ FixVariable()

bool ROOT::Math::BasicMinimizer::FixVariable ( unsigned int ivar )

overridevirtual

fix an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 182 of file BasicMinimizer.cxx.

◆ GetVariableSettings()

bool ROOT::Math::BasicMinimizer::GetVariableSettings	(	unsigned int	ivar,
		ROOT::Fit::ParameterSettings &	varObj
	)		const

overridevirtual

get variable settings in a variable object (like ROOT::Fit::ParamsSettings)

Reimplemented from ROOT::Math::Minimizer.

Definition at line 211 of file BasicMinimizer.cxx.

◆ GradObjFunction()

const ROOT::Math::IMultiGradFunction * ROOT::Math::BasicMinimizer::GradObjFunction ( ) const

return pointer to used gradient object function (NULL if gradient is not supported)

Definition at line 332 of file BasicMinimizer.cxx.

◆ IsFixedVariable()

bool ROOT::Math::BasicMinimizer::IsFixedVariable ( unsigned int ivar ) const

overridevirtual

query if an existing variable is fixed (i.e.

considered constant in the minimization) note that by default all variables are not fixed

Reimplemented from ROOT::Math::Minimizer.

Definition at line 206 of file BasicMinimizer.cxx.

◆ Minimize()

bool ROOT::Math::BasicMinimizer::Minimize ( )

overridevirtual

method to perform the minimization

Implements ROOT::Math::Minimizer.

Reimplemented in ROOT::Math::GSLMinimizer, ROOT::Math::GSLNLSMinimizer, ROOT::Math::GSLSimAnMinimizer, and ROOT::Math::RMinimizer.

Definition at line 301 of file BasicMinimizer.cxx.

◆ MinValue()

double ROOT::Math::BasicMinimizer::MinValue ( ) const

inlineoverridevirtual

return minimum function value

Implements ROOT::Math::Minimizer.

Definition at line 136 of file BasicMinimizer.h.

◆ NDim()

unsigned int ROOT::Math::BasicMinimizer::NDim ( ) const

inlineoverridevirtual

number of dimensions

Implements ROOT::Math::Minimizer.

Definition at line 142 of file BasicMinimizer.h.

◆ NFree()

unsigned int ROOT::Math::BasicMinimizer::NFree ( ) const

overridevirtual

number of free variables (real dimension of the problem)

Reimplemented from ROOT::Math::Minimizer.

Definition at line 337 of file BasicMinimizer.cxx.

◆ NPar()

virtual unsigned int ROOT::Math::BasicMinimizer::NPar ( ) const

inlinevirtual

total number of parameter defined

Definition at line 148 of file BasicMinimizer.h.

◆ ObjFunction()

const ROOT::Math::IMultiGenFunction * ROOT::Math::BasicMinimizer::ObjFunction ( ) const

inline

return pointer to used objective function

Definition at line 151 of file BasicMinimizer.h.

◆ operator=()

BasicMinimizer & ROOT::Math::BasicMinimizer::operator= ( const BasicMinimizer & rhs )

inlineprivate

Assignment operator.

Definition at line 80 of file BasicMinimizer.h.

◆ PrintResult()

void ROOT::Math::BasicMinimizer::PrintResult ( ) const

print result of minimization

Definition at line 320 of file BasicMinimizer.cxx.

◆ ReleaseVariable()

bool ROOT::Math::BasicMinimizer::ReleaseVariable ( unsigned int ivar )

overridevirtual

release an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 189 of file BasicMinimizer.cxx.

◆ SetFinalValues()

void ROOT::Math::BasicMinimizer::SetFinalValues	(	const double *	x,
		const MinimTransformFunction *	func = `nullptr`
	)

protected

Definition at line 307 of file BasicMinimizer.cxx.

◆ SetFixedVariable()

bool ROOT::Math::BasicMinimizer::SetFixedVariable	(	unsigned int	ivar,
		const std::string &	name,
		double	val
	)

overridevirtual

set fixed variable (override if minimizer supports them )

Reimplemented from ROOT::Math::Minimizer.

Definition at line 116 of file BasicMinimizer.cxx.

◆ SetFunction() [1/2]

void ROOT::Math::BasicMinimizer::SetFunction ( const ROOT::Math::IMultiGenFunction & func )

overridevirtual

set the function to minimize

Implements ROOT::Math::Minimizer.

Reimplemented in ROOT::Math::GSLMinimizer, and ROOT::Math::GSLNLSMinimizer.

Definition at line 240 of file BasicMinimizer.cxx.

◆ SetFunction() [2/2]

void ROOT::Math::BasicMinimizer::SetFunction ( const ROOT::Math::IMultiGradFunction & func )

overridevirtual

set gradient the function to minimize

Reimplemented from ROOT::Math::Minimizer.

Reimplemented in ROOT::Math::GSLMinimizer, and ROOT::Math::GSLNLSMinimizer.

Definition at line 246 of file BasicMinimizer.cxx.

◆ SetLimitedVariable()

bool ROOT::Math::BasicMinimizer::SetLimitedVariable	(	unsigned int	ivar,
		const std::string &	name,
		double	val,
		double	step,
		double	lower,
		double	upper
	)

overridevirtual

set upper/lower limited variable (override if minimizer supports them )

Reimplemented from ROOT::Math::Minimizer.

Definition at line 107 of file BasicMinimizer.cxx.

◆ SetLowerLimitedVariable()

bool ROOT::Math::BasicMinimizer::SetLowerLimitedVariable	(	unsigned int	ivar,
		const std::string &	name,
		double	val,
		double	step,
		double	lower
	)

overridevirtual

set lower limit variable (override if minimizer supports them )

Reimplemented from ROOT::Math::Minimizer.

Definition at line 88 of file BasicMinimizer.cxx.

◆ SetMinValue()

void ROOT::Math::BasicMinimizer::SetMinValue ( double val )

inlineprotected

Definition at line 173 of file BasicMinimizer.h.

◆ SetUpperLimitedVariable()

bool ROOT::Math::BasicMinimizer::SetUpperLimitedVariable	(	unsigned int	ivar,
		const std::string &	name,
		double	val,
		double	step,
		double	upper
	)

overridevirtual

set upper limit variable (override if minimizer supports them )

Reimplemented from ROOT::Math::Minimizer.

Definition at line 97 of file BasicMinimizer.cxx.

◆ SetVariable()

bool ROOT::Math::BasicMinimizer::SetVariable	(	unsigned int	ivar,
		const std::string &	name,
		double	val,
		double	step
	)

overridevirtual

set free variable

Implements ROOT::Math::Minimizer.

Definition at line 63 of file BasicMinimizer.cxx.

◆ SetVariableLimits()

bool ROOT::Math::BasicMinimizer::SetVariableLimits	(	unsigned int	ivar,
		double	lower,
		double	upper
	)

overridevirtual

set the limits of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 159 of file BasicMinimizer.cxx.

◆ SetVariableLowerLimit()

bool ROOT::Math::BasicMinimizer::SetVariableLowerLimit	(	unsigned int	ivar,
		double	lower
	)

overridevirtual

set the lower-limit of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 147 of file BasicMinimizer.cxx.

◆ SetVariableStepSize()

bool ROOT::Math::BasicMinimizer::SetVariableStepSize	(	unsigned int	ivar,
		double	step
	)

overridevirtual

set the step size of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 140 of file BasicMinimizer.cxx.

◆ SetVariableUpperLimit()

bool ROOT::Math::BasicMinimizer::SetVariableUpperLimit	(	unsigned int	ivar,
		double	upper
	)

overridevirtual

set the upper-limit of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 153 of file BasicMinimizer.cxx.

◆ SetVariableValue()

bool ROOT::Math::BasicMinimizer::SetVariableValue	(	unsigned int	ivar,
		double	val
	)

overridevirtual

set the value of an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 125 of file BasicMinimizer.cxx.

◆ SetVariableValues()

bool ROOT::Math::BasicMinimizer::SetVariableValues ( const double * x )

overridevirtual

set the values of all existing variables (array must be dimensioned to the size of existing parameters)

Reimplemented from ROOT::Math::Minimizer.

Definition at line 133 of file BasicMinimizer.cxx.

◆ StepSizes()

virtual const double * ROOT::Math::BasicMinimizer::StepSizes ( ) const

inlinevirtual

accessor methods

Definition at line 161 of file BasicMinimizer.h.

◆ VariableIndex()

int ROOT::Math::BasicMinimizer::VariableIndex ( const std::string & name ) const

overridevirtual

get index of variable given a variable given a name return -1 if variable is not found

Reimplemented from ROOT::Math::Minimizer.

Definition at line 232 of file BasicMinimizer.cxx.

◆ VariableName()

std::string ROOT::Math::BasicMinimizer::VariableName ( unsigned int ivar ) const

overridevirtual

get name of variables (override if minimizer support storing of variable names)

Reimplemented from ROOT::Math::Minimizer.

Definition at line 227 of file BasicMinimizer.cxx.

◆ X()

const double * ROOT::Math::BasicMinimizer::X ( ) const

inlineoverridevirtual

return pointer to X values at the minimum

Implements ROOT::Math::Minimizer.

Definition at line 139 of file BasicMinimizer.h.

Member Data Documentation

◆ fBounds

std::map< unsigned int, std::pair<double, double> > ROOT::Math::BasicMinimizer::fBounds

private

map specifying the bound using as key the parameter index

Definition at line 187 of file BasicMinimizer.h.

◆ fDim

unsigned int ROOT::Math::BasicMinimizer::fDim

private

Definition at line 178 of file BasicMinimizer.h.

◆ fMinVal

double ROOT::Math::BasicMinimizer::fMinVal

private

Definition at line 182 of file BasicMinimizer.h.

◆ fNames

std::vector<std::string> ROOT::Math::BasicMinimizer::fNames

private

Definition at line 185 of file BasicMinimizer.h.

◆ fObjFunc

const ROOT::Math::IMultiGenFunction* ROOT::Math::BasicMinimizer::fObjFunc

private

Definition at line 180 of file BasicMinimizer.h.

◆ fSteps

std::vector<double> ROOT::Math::BasicMinimizer::fSteps

private

Definition at line 184 of file BasicMinimizer.h.

◆ fValues

std::vector<double> ROOT::Math::BasicMinimizer::fValues

private

Definition at line 183 of file BasicMinimizer.h.

◆ fVarTypes

std::vector<ROOT::Math::EMinimVariableType> ROOT::Math::BasicMinimizer::fVarTypes

private

vector specifying the type of variables

Definition at line 186 of file BasicMinimizer.h.

Libraries for ROOT::Math::BasicMinimizer:

[legend]

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

math/mathcore/inc/Math/BasicMinimizer.h
math/mathcore/src/BasicMinimizer.cxx

Public Member Functions

Protected Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Constructor & Destructor Documentation

◆ BasicMinimizer() [1/2]

◆ ~BasicMinimizer()

◆ BasicMinimizer() [2/2]

Member Function Documentation

◆ CheckDimension()

◆ CheckObjFunction()

◆ CreateTransformation()

◆ FixVariable()

◆ GetVariableSettings()

◆ GradObjFunction()

◆ IsFixedVariable()

◆ Minimize()

◆ MinValue()

◆ NDim()

◆ NFree()

◆ NPar()

◆ ObjFunction()

◆ operator=()

◆ PrintResult()

◆ ReleaseVariable()

◆ SetFinalValues()

◆ SetFixedVariable()

◆ SetFunction() [1/2]

◆ SetFunction() [2/2]

◆ SetLimitedVariable()

◆ SetLowerLimitedVariable()

◆ SetMinValue()

◆ SetUpperLimitedVariable()

◆ SetVariable()

◆ SetVariableLimits()

◆ SetVariableLowerLimit()

◆ SetVariableStepSize()

◆ SetVariableUpperLimit()

◆ SetVariableValue()

◆ SetVariableValues()

◆ StepSizes()

◆ VariableIndex()

◆ VariableName()

◆ X()

Member Data Documentation

◆ fBounds

◆ fDim

◆ fMinVal

◆ fNames

◆ fObjFunc

◆ fSteps

◆ fValues

◆ fVarTypes