Minuit2Minimizer class implementing the ROOT::Math::Minimizer interface for Minuit2 minimization algorithm.

In ROOT it can be instantiated using the plug-in manager (plug-in "Minuit2") Using a string (used by the plugin manager) or via an enumeration an one can set all the possible minimization algorithms (Migrad, Simplex, Combined, Scan and Fumili).

Refer to the guide for an introduction how Minuit works.

Definition at line 54 of file Minuit2Minimizer.h.

Public Member Functions
	Minuit2Minimizer (const char *type)
	Constructor with a char (used by PM)

	Minuit2Minimizer (ROOT::Minuit2::EMinimizerType type=ROOT::Minuit2::kMigrad)
	Default constructor.

	~Minuit2Minimizer () override
	Destructor (no operations)

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

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

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

double	CovMatrix (unsigned int i, unsigned int j) const override
	return covariance matrix elements if the variable is fixed or const the value is zero The ordering of the variables is the same as in errors and parameter value.

int	CovMatrixStatus () const override
	return the status of the covariance matrix status = -1 : not available (inversion failed or Hesse failed) status = 0 : available but not positive defined status = 1 : covariance only approximate status = 2 : full matrix but forced pos def status = 3 : full accurate matrix

double	Edm () const override
	return expected distance reached from the minimum

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

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

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

bool	GetHessianMatrix (double *h) const override
	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.

bool	GetMinosError (unsigned int i, double &errLow, double &errUp, int=0) override
	get the minos error for parameter i, return false if Minos failed A minimizaiton must be performed befre, return false if no minimization has been done In case of Minos failed the status error is updated as following status += 10 * minosStatus.

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

double	GlobalCC (unsigned int i) const override
	get global correlation coefficient for the variable i.

bool	Hesse () override
	perform a full calculation of the Hessian matrix for error calculation If a valid minimum exists the calculation is done on the minimum point otherwise is performed in the current set values of parameters Status code of minimizer is updated according to the following convention (in case Hesse failed) status += 100*hesseStatus where hesse status is: status = 1 : hesse failed status = 2 : matrix inversion failed status = 3 : matrix is not pos defined

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

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

bool	Minimize () override
	method to perform the minimization.

int	MinosStatus () const override
	MINOS status code of last Minos run `status & 1 > 0` : invalid lower error `status & 2 > 0` : invalid upper error `status & 4 > 0` : invalid because maximum number of function calls exceeded `status & 8 > 0` : a new minimum has been found `status & 16 > 0` : error is truncated because parameter is at lower/upper limit.

double	MinValue () const override
	return minimum function value

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

unsigned int	NDim () const override
	this is <= Function().NDim() which is the total number of variables (free+ constrained ones)

unsigned int	NFree () const override
	number of free variables (real dimension of the problem) this is <= Function().NDim() which is the total

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

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

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

bool	Scan (unsigned int i, unsigned int &nstep, double x, double y, double xmin=0, double xmax=0) override
	scan a parameter i around the minimum.

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	SetHessianFunction (std::function< bool(std::span< const double >, double *)> hfunc) override
	set the function implementing Hessian computation

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 )

void	SetStorageLevel (int level)
	set storage level = 1 : store all iteration states (default) = 0 : store only first and last state to save memory

void	SetTraceObject (MnTraceObject &obj)
	set an object to trace operation for each iteration The object must be a (or inherit from) ROOT::Minuit2::MnTraceObject and implement operator() (int, const MinimumState & state)

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 variable

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

const ROOT::Minuit2::MnUserParameterState &	State ()
	return the minimizer state (containing values, step size , etc..)

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.

	Minimizer (Minimizer &&)=delete

	Minimizer (Minimizer const &)=delete

virtual	~Minimizer ()
	Destructor (no operations).

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

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

Minimizer &	operator= (Minimizer &&)=delete

Minimizer &	operator= (Minimizer const &)=delete

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

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

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	ExamineMinimum (const ROOT::Minuit2::FunctionMinimum &min)
	examine the minimum result

virtual const ROOT::Minuit2::FCNBase *	GetFCN () const

virtual const ROOT::Minuit2::ModularFunctionMinimizer *	GetMinimizer () const

int	RunMinosError (unsigned int i, double &errLow, double &errUp, int runopt)

bool	SetCovariance (std::span< const double > cov, unsigned int nrow) override
	set initial covariance matrix

virtual bool	SetCovarianceDiag (std::span< const double > d2, unsigned int n) override
	set initial second derivatives

virtual void	SetMinimizer (ROOT::Minuit2::ModularFunctionMinimizer *m)

void	SetMinimizerType (ROOT::Minuit2::EMinimizerType type)

Private Attributes
unsigned int	fDim

std::vector< double >	fErrors

ROOT::Minuit2::ModularFunctionMinimizer *	fMinimizer

ROOT::Minuit2::FunctionMinimum *	fMinimum

int	fMinosStatus = -1

ROOT::Minuit2::FCNBase *	fMinuitFCN

ROOT::Minuit2::MnUserParameterState	fState

bool	fUseFumili

std::vector< double >	fValues

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

int	fStatus = -1
	status of minimizer

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

#include <Minuit2/Minuit2Minimizer.h>

Inheritance diagram for ROOT::Minuit2::Minuit2Minimizer:

[legend]

Constructor & Destructor Documentation

◆ Minuit2Minimizer() [1/2]

ROOT::Minuit2::Minuit2Minimizer::Minuit2Minimizer ( ROOT::Minuit2::EMinimizerType type = ROOT::Minuit2::kMigrad )

Default constructor.

Definition at line 86 of file Minuit2Minimizer.cxx.

◆ Minuit2Minimizer() [2/2]

ROOT::Minuit2::Minuit2Minimizer::Minuit2Minimizer ( const char * type )

Constructor with a char (used by PM)

Definition at line 93 of file Minuit2Minimizer.cxx.

◆ ~Minuit2Minimizer()

ROOT::Minuit2::Minuit2Minimizer::~Minuit2Minimizer ( )

override

Destructor (no operations)

Definition at line 145 of file Minuit2Minimizer.cxx.

Member Function Documentation

◆ Clear()

void ROOT::Minuit2::Minuit2Minimizer::Clear ( )

overridevirtual

reset for consecutive minimization - implement if needed

Reimplemented from ROOT::Math::Minimizer.

Definition at line 156 of file Minuit2Minimizer.cxx.

◆ Contour()

bool ROOT::Minuit2::Minuit2Minimizer::Contour	(	unsigned int	i,
		unsigned int	j,
		unsigned int &	npoints,
		double *	xi,
		double *	xj
	)

overridevirtual

find the contour points (xi,xj) of the function for parameter i and j around the minimum The contour will be find for value of the function = Min + ErrorUp();

Reimplemented from ROOT::Math::Minimizer.

Definition at line 1148 of file Minuit2Minimizer.cxx.

◆ Correlation()

double ROOT::Minuit2::Minuit2Minimizer::Correlation	(	unsigned int	i,
		unsigned int	j
	)		const

overridevirtual

return correlation coefficient between variable i and j.

If the variable is fixed or const the return value is zero

Reimplemented from ROOT::Math::Minimizer.

Definition at line 815 of file Minuit2Minimizer.cxx.

◆ CovMatrix()

double ROOT::Minuit2::Minuit2Minimizer::CovMatrix	(	unsigned int	i,
		unsigned int	j
	)		const

overridevirtual

return covariance matrix elements if the variable is fixed or const the value is zero The ordering of the variables is the same as in errors and parameter value.

This is different from the direct interface of Minuit2 or TMinuit where the values were obtained only to variable parameters

Reimplemented from ROOT::Math::Minimizer.

Definition at line 739 of file Minuit2Minimizer.cxx.

◆ CovMatrixStatus()

int ROOT::Minuit2::Minuit2Minimizer::CovMatrixStatus ( ) const

overridevirtual

return the status of the covariance matrix status = -1 : not available (inversion failed or Hesse failed) status = 0 : available but not positive defined status = 1 : covariance only approximate status = 2 : full matrix but forced pos def status = 3 : full accurate matrix

Reimplemented from ROOT::Math::Minimizer.

Definition at line 1298 of file Minuit2Minimizer.cxx.

◆ Edm()

double ROOT::Minuit2::Minuit2Minimizer::Edm ( ) const

inlineoverridevirtual

return expected distance reached from the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 140 of file Minuit2Minimizer.h.

◆ Errors()

const double * ROOT::Minuit2::Minuit2Minimizer::Errors ( ) const

overridevirtual

return errors at the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 717 of file Minuit2Minimizer.cxx.

◆ ExamineMinimum()

bool ROOT::Minuit2::Minuit2Minimizer::ExamineMinimum ( const ROOT::Minuit2::FunctionMinimum & min )

protected

examine the minimum result

Definition at line 594 of file Minuit2Minimizer.cxx.

◆ FixVariable()

bool ROOT::Minuit2::Minuit2Minimizer::FixVariable ( unsigned int ivar )

overridevirtual

fix an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 338 of file Minuit2Minimizer.cxx.

◆ GetCovMatrix()

bool ROOT::Minuit2::Minuit2Minimizer::GetCovMatrix ( double * cov ) const

overridevirtual

Fill the passed array with the covariance matrix elements if the variable is fixed or const the value is zero.

The array will be filled as cov[i *ndim + j] The ordering of the variables is the same as in errors and parameter value. This is different from the direct interface of Minuit2 or TMinuit where the values were obtained only to variable parameters

Reimplemented from ROOT::Math::Minimizer.

Definition at line 755 of file Minuit2Minimizer.cxx.

◆ GetFCN()

virtual const ROOT::Minuit2::FCNBase * ROOT::Minuit2::Minuit2Minimizer::GetFCN ( ) const

inlineprotectedvirtual

Definition at line 287 of file Minuit2Minimizer.h.

◆ GetHessianMatrix()

bool ROOT::Minuit2::Minuit2Minimizer::GetHessianMatrix ( double * h ) const

overridevirtual

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.

The array will be filled as h[i *ndim + j]

Reimplemented from ROOT::Math::Minimizer.

Definition at line 784 of file Minuit2Minimizer.cxx.

◆ GetMinimizer()

virtual const ROOT::Minuit2::ModularFunctionMinimizer * ROOT::Minuit2::Minuit2Minimizer::GetMinimizer ( ) const

inlineprotectedvirtual

Definition at line 281 of file Minuit2Minimizer.h.

◆ GetMinosError()

bool ROOT::Minuit2::Minuit2Minimizer::GetMinosError	(	unsigned int	i,
		double &	errLow,
		double &	errUp,
		int	runopt = `0`
	)

overridevirtual

get the minos error for parameter i, return false if Minos failed A minimizaiton must be performed befre, return false if no minimization has been done In case of Minos failed the status error is updated as following status += 10 * minosStatus.

The Minos status of last Minos run can also be retrieved by calling MinosStatus()

Reimplemented from ROOT::Math::Minimizer.

Definition at line 852 of file Minuit2Minimizer.cxx.

◆ GetVariableSettings()

bool ROOT::Minuit2::Minuit2Minimizer::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 367 of file Minuit2Minimizer.cxx.

◆ GlobalCC()

double ROOT::Minuit2::Minuit2Minimizer::GlobalCC ( unsigned int i ) const

overridevirtual

get global correlation coefficient for the variable i.

This is a number between zero and one which gives the correlation between the i-th variable and that linear combination of all other variables which is most strongly correlated with i. If the variable is fixed or const the return value is zero

Reimplemented from ROOT::Math::Minimizer.

Definition at line 835 of file Minuit2Minimizer.cxx.

◆ Hesse()

bool ROOT::Minuit2::Minuit2Minimizer::Hesse ( )

overridevirtual

perform a full calculation of the Hessian matrix for error calculation If a valid minimum exists the calculation is done on the minimum point otherwise is performed in the current set values of parameters Status code of minimizer is updated according to the following convention (in case Hesse failed) status += 100*hesseStatus where hesse status is: status = 1 : hesse failed status = 2 : matrix inversion failed status = 3 : matrix is not pos defined

Reimplemented from ROOT::Math::Minimizer.

Definition at line 1204 of file Minuit2Minimizer.cxx.

◆ IsFixedVariable()

bool ROOT::Minuit2::Minuit2Minimizer::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 356 of file Minuit2Minimizer.cxx.

◆ MinGradient()

const double * ROOT::Minuit2::Minuit2Minimizer::MinGradient ( ) const

inlineoverridevirtual

return pointer to gradient values at the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 146 of file Minuit2Minimizer.h.

◆ Minimize()

bool ROOT::Minuit2::Minuit2Minimizer::Minimize ( )

overridevirtual

method to perform the minimization.

Return false in case the minimization did not converge. In this case a status code different than zero is set (retrieved by the derived method Minimizer::Status() )"

status = 1 : Covariance was made pos defined status = 2 : Hesse is invalid status = 3 : Edm is above max status = 4 : Reached call limit status = 5 : Any other failure

Implements ROOT::Math::Minimizer.

Definition at line 465 of file Minuit2Minimizer.cxx.

◆ MinosStatus()

int ROOT::Minuit2::Minuit2Minimizer::MinosStatus ( ) const

inlineoverridevirtual

MINOS status code of last Minos run status & 1 > 0 : invalid lower error status & 2 > 0 : invalid upper error status & 4 > 0 : invalid because maximum number of function calls exceeded status & 8 > 0 : a new minimum has been found status & 16 > 0 : error is truncated because parameter is at lower/upper limit.

Reimplemented from ROOT::Math::Minimizer.

Definition at line 234 of file Minuit2Minimizer.h.

◆ MinValue()

double ROOT::Minuit2::Minuit2Minimizer::MinValue ( ) const

inlineoverridevirtual

return minimum function value

Implements ROOT::Math::Minimizer.

Definition at line 137 of file Minuit2Minimizer.h.

◆ NCalls()

unsigned int ROOT::Minuit2::Minuit2Minimizer::NCalls ( ) const

inlineoverridevirtual

number of function calls to reach the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 149 of file Minuit2Minimizer.h.

◆ NDim()

unsigned int ROOT::Minuit2::Minuit2Minimizer::NDim ( ) const

inlineoverridevirtual

this is <= Function().NDim() which is the total number of variables (free+ constrained ones)

Implements ROOT::Math::Minimizer.

Definition at line 153 of file Minuit2Minimizer.h.

◆ NFree()

unsigned int ROOT::Minuit2::Minuit2Minimizer::NFree ( ) const

inlineoverridevirtual

number of free variables (real dimension of the problem) this is <= Function().NDim() which is the total

Reimplemented from ROOT::Math::Minimizer.

Definition at line 157 of file Minuit2Minimizer.h.

◆ PrintResults()

void ROOT::Minuit2::Minuit2Minimizer::PrintResults ( )

overridevirtual

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

print result of minimization

Reimplemented from ROOT::Math::Minimizer.

Definition at line 684 of file Minuit2Minimizer.cxx.

◆ ProvidesError()

bool ROOT::Minuit2::Minuit2Minimizer::ProvidesError ( ) const

inlineoverridevirtual

minimizer provides error and error matrix

Reimplemented from ROOT::Math::Minimizer.

Definition at line 160 of file Minuit2Minimizer.h.

◆ ReleaseVariable()

bool ROOT::Minuit2::Minuit2Minimizer::ReleaseVariable ( unsigned int ivar )

overridevirtual

release an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 347 of file Minuit2Minimizer.cxx.

◆ RunMinosError()

int ROOT::Minuit2::Minuit2Minimizer::RunMinosError	(	unsigned int	i,
		double &	errLow,
		double &	errUp,
		int	runopt
	)

protected

Definition at line 923 of file Minuit2Minimizer.cxx.

◆ Scan()

bool ROOT::Minuit2::Minuit2Minimizer::Scan	(	unsigned int	i,
		unsigned int &	nstep,
		double *	x,
		double *	y,
		double	xmin = `0`,
		double	xmax = `0`
	)

overridevirtual

scan a parameter i around the minimum.

A minimization must have been done before, return false if it is not the case

Reimplemented from ROOT::Math::Minimizer.

Definition at line 1089 of file Minuit2Minimizer.cxx.

◆ SetCovariance()

bool ROOT::Minuit2::Minuit2Minimizer::SetCovariance	(	std::span< const double >	cov,
		unsigned int	nrow
	)

overrideprotectedvirtual

set initial covariance matrix

Reimplemented from ROOT::Math::Minimizer.

Definition at line 212 of file Minuit2Minimizer.cxx.

◆ SetCovarianceDiag()

bool ROOT::Minuit2::Minuit2Minimizer::SetCovarianceDiag	(	std::span< const double >	d2,
		unsigned int	n
	)

overrideprotectedvirtual

set initial second derivatives

Reimplemented from ROOT::Math::Minimizer.

Definition at line 198 of file Minuit2Minimizer.cxx.

◆ SetFixedVariable()

bool ROOT::Minuit2::Minuit2Minimizer::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 251 of file Minuit2Minimizer.cxx.

◆ SetFunction()

void ROOT::Minuit2::Minuit2Minimizer::SetFunction ( const ROOT::Math::IMultiGenFunction & func )

overridevirtual

set the function to minimize

Implements ROOT::Math::Minimizer.

Definition at line 391 of file Minuit2Minimizer.cxx.

◆ SetHessianFunction()

void ROOT::Minuit2::Minuit2Minimizer::SetHessianFunction ( std::function< bool(std::span< const double >, double *)> hfunc )

overridevirtual

set the function implementing Hessian computation

Reimplemented from ROOT::Math::Minimizer.

Definition at line 424 of file Minuit2Minimizer.cxx.

◆ SetLimitedVariable()

bool ROOT::Minuit2::Minuit2Minimizer::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 241 of file Minuit2Minimizer.cxx.

◆ SetLowerLimitedVariable()

bool ROOT::Minuit2::Minuit2Minimizer::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 221 of file Minuit2Minimizer.cxx.

◆ SetMinimizer()

virtual void ROOT::Minuit2::Minuit2Minimizer::SetMinimizer ( ROOT::Minuit2::ModularFunctionMinimizer * m )

inlineprotectedvirtual

Definition at line 283 of file Minuit2Minimizer.h.

◆ SetMinimizerType()

void ROOT::Minuit2::Minuit2Minimizer::SetMinimizerType ( ROOT::Minuit2::EMinimizerType type )

protected

Definition at line 116 of file Minuit2Minimizer.cxx.

◆ SetStorageLevel()

void ROOT::Minuit2::Minuit2Minimizer::SetStorageLevel ( int level )

set storage level = 1 : store all iteration states (default) = 0 : store only first and last state to save memory

Definition at line 1332 of file Minuit2Minimizer.cxx.

◆ SetTraceObject()

void ROOT::Minuit2::Minuit2Minimizer::SetTraceObject ( MnTraceObject & obj )

set an object to trace operation for each iteration The object must be a (or inherit from) ROOT::Minuit2::MnTraceObject and implement operator() (int, const MinimumState & state)

Definition at line 1325 of file Minuit2Minimizer.cxx.

◆ SetUpperLimitedVariable()

bool ROOT::Minuit2::Minuit2Minimizer::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 231 of file Minuit2Minimizer.cxx.

◆ SetVariable()

bool ROOT::Minuit2::Minuit2Minimizer::SetVariable	(	unsigned int	ivar,
		const std::string &	name,
		double	val,
		double	step
	)

overridevirtual

set free variable

Implements ROOT::Math::Minimizer.

Definition at line 168 of file Minuit2Minimizer.cxx.

◆ SetVariableLimits()

bool ROOT::Minuit2::Minuit2Minimizer::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 328 of file Minuit2Minimizer.cxx.

◆ SetVariableLowerLimit()

bool ROOT::Minuit2::Minuit2Minimizer::SetVariableLowerLimit	(	unsigned int	ivar,
		double	lower
	)

overridevirtual

set the lower-limit of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 309 of file Minuit2Minimizer.cxx.

◆ SetVariableStepSize()

bool ROOT::Minuit2::Minuit2Minimizer::SetVariableStepSize	(	unsigned int	ivar,
		double	step
	)

overridevirtual

set the step size of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 299 of file Minuit2Minimizer.cxx.

◆ SetVariableUpperLimit()

bool ROOT::Minuit2::Minuit2Minimizer::SetVariableUpperLimit	(	unsigned int	ivar,
		double	upper
	)

overridevirtual

set the upper-limit of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 318 of file Minuit2Minimizer.cxx.

◆ SetVariableValue()

bool ROOT::Minuit2::Minuit2Minimizer::SetVariableValue	(	unsigned int	ivar,
		double	val
	)

overridevirtual

set variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 279 of file Minuit2Minimizer.cxx.

◆ SetVariableValues()

bool ROOT::Minuit2::Minuit2Minimizer::SetVariableValues ( const double * x )

overridevirtual

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

Reimplemented from ROOT::Math::Minimizer.

Definition at line 288 of file Minuit2Minimizer.cxx.

◆ State()

const ROOT::Minuit2::MnUserParameterState & ROOT::Minuit2::Minuit2Minimizer::State ( )

inline

return the minimizer state (containing values, step size , etc..)

Definition at line 276 of file Minuit2Minimizer.h.

◆ VariableIndex()

int ROOT::Minuit2::Minuit2Minimizer::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 272 of file Minuit2Minimizer.cxx.

◆ VariableName()

std::string ROOT::Minuit2::Minuit2Minimizer::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 264 of file Minuit2Minimizer.cxx.

◆ X()

const double * ROOT::Minuit2::Minuit2Minimizer::X ( ) const

inlineoverridevirtual

return pointer to X values at the minimum

Implements ROOT::Math::Minimizer.

Definition at line 143 of file Minuit2Minimizer.h.

Member Data Documentation

◆ fDim

unsigned int ROOT::Minuit2::Minuit2Minimizer::fDim

private

Definition at line 302 of file Minuit2Minimizer.h.

◆ fErrors

std::vector<double> ROOT::Minuit2::Minuit2Minimizer::fErrors

mutableprivate

Definition at line 312 of file Minuit2Minimizer.h.

◆ fMinimizer

ROOT::Minuit2::ModularFunctionMinimizer* ROOT::Minuit2::Minuit2Minimizer::fMinimizer

private

Definition at line 308 of file Minuit2Minimizer.h.

◆ fMinimum

ROOT::Minuit2::FunctionMinimum* ROOT::Minuit2::Minuit2Minimizer::fMinimum

private

Definition at line 310 of file Minuit2Minimizer.h.

◆ fMinosStatus

int ROOT::Minuit2::Minuit2Minimizer::fMinosStatus = -1

private

Definition at line 304 of file Minuit2Minimizer.h.

◆ fMinuitFCN

ROOT::Minuit2::FCNBase* ROOT::Minuit2::Minuit2Minimizer::fMinuitFCN

private

Definition at line 309 of file Minuit2Minimizer.h.

◆ fState

ROOT::Minuit2::MnUserParameterState ROOT::Minuit2::Minuit2Minimizer::fState

private

Definition at line 306 of file Minuit2Minimizer.h.

◆ fUseFumili

bool ROOT::Minuit2::Minuit2Minimizer::fUseFumili

private

Definition at line 303 of file Minuit2Minimizer.h.

◆ fValues

std::vector<double> ROOT::Minuit2::Minuit2Minimizer::fValues

mutableprivate

Definition at line 311 of file Minuit2Minimizer.h.

Libraries for ROOT::Minuit2::Minuit2Minimizer:

[legend]

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

math/minuit2/inc/Minuit2/Minuit2Minimizer.h
math/minuit2/src/Minuit2Minimizer.cxx

Public Member Functions

Protected Member Functions

Private Attributes

Additional Inherited Members

Constructor & Destructor Documentation

◆ Minuit2Minimizer() [1/2]

◆ Minuit2Minimizer() [2/2]

◆ ~Minuit2Minimizer()

Member Function Documentation

◆ Clear()

◆ Contour()

◆ Correlation()

◆ CovMatrix()

◆ CovMatrixStatus()

◆ Edm()

◆ Errors()

◆ ExamineMinimum()

◆ FixVariable()

◆ GetCovMatrix()

◆ GetFCN()

◆ GetHessianMatrix()

◆ GetMinimizer()

◆ GetMinosError()

◆ GetVariableSettings()

◆ GlobalCC()

◆ Hesse()

◆ IsFixedVariable()

◆ MinGradient()

◆ Minimize()

◆ MinosStatus()

◆ MinValue()

◆ NCalls()

◆ NDim()

◆ NFree()

◆ PrintResults()

◆ ProvidesError()

◆ ReleaseVariable()

◆ RunMinosError()

◆ Scan()

◆ SetCovariance()

◆ SetCovarianceDiag()

◆ SetFixedVariable()

◆ SetFunction()

◆ SetHessianFunction()

◆ SetLimitedVariable()

◆ SetLowerLimitedVariable()

◆ SetMinimizer()

◆ SetMinimizerType()

◆ SetStorageLevel()

◆ SetTraceObject()

◆ SetUpperLimitedVariable()

◆ SetVariable()

◆ SetVariableLimits()

◆ SetVariableLowerLimit()

◆ SetVariableStepSize()

◆ SetVariableUpperLimit()

◆ SetVariableValue()

◆ SetVariableValues()

◆ State()

◆ VariableIndex()

◆ VariableName()

◆ X()

Member Data Documentation

◆ fDim

◆ fErrors

◆ fMinimizer

◆ fMinimum

◆ fMinosStatus

◆ fMinuitFCN

◆ fState

◆ fUseFumili

◆ fValues