TMinuitMinimizer class: ROOT::Math::Minimizer implementation based on TMinuit.

Definition at line 51 of file TMinuitMinimizer.h.

Public Member Functions
	TMinuitMinimizer (const char *type, unsigned int ndim=0)
	Constructor from a char * (used by PM)

	TMinuitMinimizer (ROOT::Minuit::EMinimizerType type=ROOT::Minuit::kMigrad, unsigned int ndim=0)
	Default constructor.

	~TMinuitMinimizer ()
	Destructor (no operations)

virtual bool	Contour (unsigned int i, unsigned int j, unsigned int &npoints, double xi, double xj)
	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();

virtual double	CovMatrix (unsigned int i, unsigned int j) const
	return covariance matrices elements if the variable is fixed the matrix is zero The ordering of the variables is the same as in errors

virtual int	CovMatrixStatus () const
	return status of covariance matrix

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

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

virtual bool	FixVariable (unsigned int)
	fix an existing variable

virtual bool	GetCovMatrix (double *cov) 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 *h) 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 i, double &errLow, double &errUp, int=0)
	minos error for variable i, return false if Minos failed

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

virtual double	GlobalCC (unsigned int) const
	global correlation coefficient for variable i

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

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

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

virtual bool	Minimize ()
	method to perform the minimization

virtual int	MinosStatus () const
	minos status code of last Minos run minos status = -1 : Minos is not run = 0 : last MINOS run was succesfull > 0 : some problems encountered when running MINOS

virtual double	MinValue () const
	return minimum function value

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

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

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

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	ReleaseVariable (unsigned int)
	release an existing variable

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

bool	SetDebug (bool on=true)
	set debug mode. Return true if setting was successfull

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

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

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

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

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

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

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

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

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

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

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

virtual bool	SetVariableValue (unsigned int, double)
	set the value of an existing variable

void	SuppressMinuitWarnings (bool nowarn=true)
	suppress the minuit warnings (if called with false will enable them) By default they are suppressed only when the printlevel is <= 0

virtual int	VariableIndex (const std::string &name) const
	get index of variable given a variable given a name return always -1 .

virtual std::string	VariableName (unsigned int ivar) const
	return reference to the objective function virtual const ROOT::Math::IGenFunction & Function() const;

virtual const double *	X () const
	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 minimizations - implement if needed

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

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

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 defaut 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

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

int	Status () const
	status code of minimizer

int	Strategy () const
	strategy

double	Tolerance () const
	absolute tolerance

Static Public Member Functions
static bool	UseStaticMinuit (bool on=true)
	static function to switch on/off usage of static global TMinuit instance (gMinuit) By default it is used (i.e.

Protected Member Functions
bool	CheckMinuitInstance () const
	check TMinuit instance

bool	CheckVarIndex (unsigned int ivar) const
	check parameter

void	DoClear ()
	reset

void	DoReleaseFixParameter (int ivar)
	release a parameter that is fixed when it is redefined

void	InitTMinuit (int ndim)
	initialize the TMinuit instance

void	RetrieveErrorMatrix ()
	retrieve error matrix from TMinuit

void	RetrieveParams ()
	retrieve minimum parameters and errors from TMinuit

Static Protected Member Functions
static void	Fcn (int &, double , double &f, double , int)
	implementation of FCN for Minuit

static void	FcnGrad (int &, double g, double &f, double , int)
	implementation of FCN for Minuit when user provided gradient is used

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

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

Private Attributes
std::vector< double >	fCovar

unsigned int	fDim

std::vector< double >	fErrors

bool	fMinosRun

int	fMinosStatus = -1

TMinuit *	fMinuit

std::vector< double >	fParams

ROOT::Minuit::EMinimizerType	fType

bool	fUsed

Static Private Attributes
static TMinuit *	fgMinuit = 0

static bool	fgUsed = false

static bool	fgUseStaticMinuit = true

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

int	fStatus

bool	fValidError

#include <TMinuitMinimizer.h>

Inheritance diagram for TMinuitMinimizer:

[legend]

Constructor & Destructor Documentation

◆ TMinuitMinimizer() [1/3]

TMinuitMinimizer::TMinuitMinimizer	(	ROOT::Minuit::EMinimizerType	type = `ROOT::Minuit::kMigrad`,
		unsigned int	ndim = `0`
	)

Default constructor.

Definition at line 57 of file TMinuitMinimizer.cxx.

◆ TMinuitMinimizer() [2/3]

TMinuitMinimizer::TMinuitMinimizer	(	const char *	type,
		unsigned int	ndim = `0`
	)

Constructor from a char * (used by PM)

Definition at line 73 of file TMinuitMinimizer.cxx.

◆ ~TMinuitMinimizer()

TMinuitMinimizer::~TMinuitMinimizer ( )

Destructor (no operations)

Definition at line 101 of file TMinuitMinimizer.cxx.

◆ TMinuitMinimizer() [3/3]

TMinuitMinimizer::TMinuitMinimizer ( const TMinuitMinimizer & )

private

Copy constructor.

Definition at line 110 of file TMinuitMinimizer.cxx.

Member Function Documentation

◆ CheckMinuitInstance()

bool TMinuitMinimizer::CheckMinuitInstance ( ) const

protected

check TMinuit instance

Definition at line 316 of file TMinuitMinimizer.cxx.

◆ CheckVarIndex()

bool TMinuitMinimizer::CheckVarIndex ( unsigned int ivar ) const

protected

check parameter

Definition at line 325 of file TMinuitMinimizer.cxx.

◆ Contour()

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

virtual

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 903 of file TMinuitMinimizer.cxx.

◆ CovMatrix()

virtual double TMinuitMinimizer::CovMatrix	(	unsigned int	i,
		unsigned int	j
	)		const

inlinevirtual

return covariance matrices elements if the variable is fixed the matrix is zero The ordering of the variables is the same as in errors

Reimplemented from ROOT::Math::Minimizer.

Definition at line 164 of file TMinuitMinimizer.h.

◆ CovMatrixStatus()

int TMinuitMinimizer::CovMatrixStatus ( ) const

virtual

return status of covariance matrix

Reimplemented from ROOT::Math::Minimizer.

Definition at line 740 of file TMinuitMinimizer.cxx.

◆ DoClear()

void TMinuitMinimizer::DoClear ( )

protected

reset

Definition at line 845 of file TMinuitMinimizer.cxx.

◆ DoReleaseFixParameter()

void TMinuitMinimizer::DoReleaseFixParameter ( int ivar )

protected

release a parameter that is fixed when it is redefined

Definition at line 860 of file TMinuitMinimizer.cxx.

◆ Edm()

double TMinuitMinimizer::Edm ( ) const

virtual

return expected distance reached from the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 673 of file TMinuitMinimizer.cxx.

◆ Errors()

virtual const double * TMinuitMinimizer::Errors ( ) const

inlinevirtual

return errors at the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 158 of file TMinuitMinimizer.h.

◆ Fcn()

void TMinuitMinimizer::Fcn	(	int &	,
		double *	,
		double &	f,
		double *	x,
		int
	)

staticprotected

implementation of FCN for Minuit

Definition at line 250 of file TMinuitMinimizer.cxx.

◆ FcnGrad()

void TMinuitMinimizer::FcnGrad	(	int &	,
		double *	g,
		double &	f,
		double *	x,
		int	iflag
	)

staticprotected

implementation of FCN for Minuit when user provided gradient is used

Definition at line 256 of file TMinuitMinimizer.cxx.

◆ FixVariable()

bool TMinuitMinimizer::FixVariable ( unsigned int ivar )

virtual

fix an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 414 of file TMinuitMinimizer.cxx.

◆ GetCovMatrix()

bool TMinuitMinimizer::GetCovMatrix ( double * cov ) const

virtual

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 689 of file TMinuitMinimizer.cxx.

◆ GetHessianMatrix()

bool TMinuitMinimizer::GetHessianMatrix ( double * h ) const

virtual

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 701 of file TMinuitMinimizer.cxx.

◆ GetMinosError()

bool TMinuitMinimizer::GetMinosError	(	unsigned int	i,
		double &	errLow,
		double &	errUp,
		int	= `0`
	)

virtual

minos error for variable i, return false if Minos failed

Reimplemented from ROOT::Math::Minimizer.

Definition at line 765 of file TMinuitMinimizer.cxx.

◆ GetVariableSettings()

bool TMinuitMinimizer::GetVariableSettings	(	unsigned int	ivar,
		ROOT::Fit::ParameterSettings &	var
	)		const

virtual

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

Reimplemented from ROOT::Math::Minimizer.

Definition at line 437 of file TMinuitMinimizer.cxx.

◆ GlobalCC()

double TMinuitMinimizer::GlobalCC ( unsigned int i ) const

virtual

global correlation coefficient for variable i

Reimplemented from ROOT::Math::Minimizer.

Definition at line 753 of file TMinuitMinimizer.cxx.

◆ Hesse()

bool TMinuitMinimizer::Hesse ( )

virtual

perform a full calculation of the Hessian matrix for error calculation

Reimplemented from ROOT::Math::Minimizer.

Definition at line 1023 of file TMinuitMinimizer.cxx.

◆ InitTMinuit()

void TMinuitMinimizer::InitTMinuit ( int ndim )

protected

initialize the TMinuit instance

Definition at line 130 of file TMinuitMinimizer.cxx.

◆ IsFixedVariable()

bool TMinuitMinimizer::IsFixedVariable ( unsigned int ivar ) const

virtual

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 430 of file TMinuitMinimizer.cxx.

◆ MinGradient()

virtual const double * TMinuitMinimizer::MinGradient ( ) const

inlinevirtual

return pointer to gradient values at the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 141 of file TMinuitMinimizer.h.

◆ Minimize()

bool TMinuitMinimizer::Minimize ( )

virtual

method to perform the minimization

Implements ROOT::Math::Minimizer.

Definition at line 466 of file TMinuitMinimizer.cxx.

◆ MinosStatus()

virtual int TMinuitMinimizer::MinosStatus ( ) const

inlinevirtual

minos status code of last Minos run minos status = -1 : Minos is not run = 0 : last MINOS run was succesfull > 0 : some problems encountered when running MINOS

Reimplemented from ROOT::Math::Minimizer.

Definition at line 200 of file TMinuitMinimizer.h.

◆ MinValue()

double TMinuitMinimizer::MinValue ( ) const

virtual

return minimum function value

Implements ROOT::Math::Minimizer.

Definition at line 663 of file TMinuitMinimizer.cxx.

◆ NCalls()

unsigned int TMinuitMinimizer::NCalls ( ) const

virtual

number of function calls to reach the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 657 of file TMinuitMinimizer.cxx.

◆ NDim()

virtual unsigned int TMinuitMinimizer::NDim ( ) const

inlinevirtual

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

Implements ROOT::Math::Minimizer.

Definition at line 148 of file TMinuitMinimizer.h.

◆ NFree()

unsigned int TMinuitMinimizer::NFree ( ) const

virtual

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 682 of file TMinuitMinimizer.cxx.

◆ operator=()

TMinuitMinimizer & TMinuitMinimizer::operator= ( const TMinuitMinimizer & rhs )

private

Assignment operator.

Definition at line 116 of file TMinuitMinimizer.cxx.

◆ PrintResults()

void TMinuitMinimizer::PrintResults ( )

virtual

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

print the result according to set level (implemented for TMinuit for mantaining Minuit-style printing)

Reimplemented from ROOT::Math::Minimizer.

Definition at line 881 of file TMinuitMinimizer.cxx.

◆ ProvidesError()

virtual bool TMinuitMinimizer::ProvidesError ( ) const

inlinevirtual

minimizer provides error and error matrix

Reimplemented from ROOT::Math::Minimizer.

Definition at line 155 of file TMinuitMinimizer.h.

◆ ReleaseVariable()

bool TMinuitMinimizer::ReleaseVariable ( unsigned int ivar )

virtual

release an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 422 of file TMinuitMinimizer.cxx.

◆ RetrieveErrorMatrix()

void TMinuitMinimizer::RetrieveErrorMatrix ( )

protected

retrieve error matrix from TMinuit

Definition at line 620 of file TMinuitMinimizer.cxx.

◆ RetrieveParams()

void TMinuitMinimizer::RetrieveParams ( )

protected

retrieve minimum parameters and errors from TMinuit

Definition at line 606 of file TMinuitMinimizer.cxx.

◆ Scan()

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

virtual

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 951 of file TMinuitMinimizer.cxx.

◆ SetDebug()

bool TMinuitMinimizer::SetDebug ( bool on = true )

set debug mode. Return true if setting was successfull

Definition at line 1068 of file TMinuitMinimizer.cxx.

◆ SetFixedVariable()

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

virtual

set fixed variable (override if minimizer supports them )

Reimplemented from ROOT::Math::Minimizer.

Definition at line 335 of file TMinuitMinimizer.cxx.

◆ SetFunction() [1/2]

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

virtual

set the function to minimize

Implements ROOT::Math::Minimizer.

Definition at line 205 of file TMinuitMinimizer.cxx.

◆ SetFunction() [2/2]

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

virtual

set the function to minimize

Reimplemented from ROOT::Math::Minimizer.

Definition at line 227 of file TMinuitMinimizer.cxx.

◆ SetLimitedVariable()

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

virtual

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

Reimplemented from ROOT::Math::Minimizer.

Definition at line 285 of file TMinuitMinimizer.cxx.

◆ SetLowerLimitedVariable()

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

virtual

set lower limit variable (override if minimizer supports them )

Reimplemented from ROOT::Math::Minimizer.

Definition at line 301 of file TMinuitMinimizer.cxx.

◆ SetUpperLimitedVariable()

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

virtual

set upper limit variable (override if minimizer supports them )

Reimplemented from ROOT::Math::Minimizer.

Definition at line 308 of file TMinuitMinimizer.cxx.

◆ SetVariable()

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

virtual

set free variable

Implements ROOT::Math::Minimizer.

Definition at line 269 of file TMinuitMinimizer.cxx.

◆ SetVariableLimits()

bool TMinuitMinimizer::SetVariableLimits	(	unsigned int	ivar,
		double	lower,
		double	upper
	)

virtual

set the limits of an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 397 of file TMinuitMinimizer.cxx.

◆ SetVariableLowerLimit()

bool TMinuitMinimizer::SetVariableLowerLimit	(	unsigned int	ivar,
		double	lower
	)

virtual

set the lower-limit of an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 384 of file TMinuitMinimizer.cxx.

◆ SetVariableStepSize()

bool TMinuitMinimizer::SetVariableStepSize	(	unsigned int	ivar,
		double	step
	)

virtual

set the step size of an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 368 of file TMinuitMinimizer.cxx.

◆ SetVariableUpperLimit()

bool TMinuitMinimizer::SetVariableUpperLimit	(	unsigned int	ivar,
		double	upper
	)

virtual

set the upper-limit of an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 390 of file TMinuitMinimizer.cxx.

◆ SetVariableValue()

bool TMinuitMinimizer::SetVariableValue	(	unsigned int	ivar,
		double	val
	)

virtual

set the value of an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 354 of file TMinuitMinimizer.cxx.

◆ SuppressMinuitWarnings()

void TMinuitMinimizer::SuppressMinuitWarnings ( bool nowarn = true )

suppress the minuit warnings (if called with false will enable them) By default they are suppressed only when the printlevel is <= 0

Definition at line 892 of file TMinuitMinimizer.cxx.

◆ UseStaticMinuit()

bool TMinuitMinimizer::UseStaticMinuit ( bool on = true )

static

static function to switch on/off usage of static global TMinuit instance (gMinuit) By default it is used (i.e.

is on). Method returns the previous state

Definition at line 123 of file TMinuitMinimizer.cxx.

◆ VariableIndex()

int TMinuitMinimizer::VariableIndex ( const std::string & name ) const

virtual

get index of variable given a variable given a name return always -1 .

(It is Not implemented)

Reimplemented from ROOT::Math::Minimizer.

Definition at line 460 of file TMinuitMinimizer.cxx.

◆ VariableName()

std::string TMinuitMinimizer::VariableName ( unsigned int ivar ) const

virtual

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

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

Reimplemented from ROOT::Math::Minimizer.

Definition at line 453 of file TMinuitMinimizer.cxx.

◆ X()

virtual const double * TMinuitMinimizer::X ( ) const

inlinevirtual

return pointer to X values at the minimum

Implements ROOT::Math::Minimizer.

Definition at line 138 of file TMinuitMinimizer.h.

Member Data Documentation

◆ fCovar

std::vector<double> TMinuitMinimizer::fCovar

private

Definition at line 280 of file TMinuitMinimizer.h.

◆ fDim

unsigned int TMinuitMinimizer::fDim

private

Definition at line 276 of file TMinuitMinimizer.h.

◆ fErrors

std::vector<double> TMinuitMinimizer::fErrors

private

Definition at line 279 of file TMinuitMinimizer.h.

◆ fgMinuit

TMinuit * TMinuitMinimizer::fgMinuit = 0

staticprivate

Definition at line 285 of file TMinuitMinimizer.h.

◆ fgUsed

bool TMinuitMinimizer::fgUsed = false

staticprivate

Definition at line 287 of file TMinuitMinimizer.h.

◆ fgUseStaticMinuit

bool TMinuitMinimizer::fgUseStaticMinuit = true

staticprivate

Definition at line 288 of file TMinuitMinimizer.h.

◆ fMinosRun

bool TMinuitMinimizer::fMinosRun

private

Definition at line 275 of file TMinuitMinimizer.h.

◆ fMinosStatus

int TMinuitMinimizer::fMinosStatus = -1

private

Definition at line 277 of file TMinuitMinimizer.h.

◆ fMinuit

TMinuit* TMinuitMinimizer::fMinuit

private

Definition at line 283 of file TMinuitMinimizer.h.

◆ fParams

std::vector<double> TMinuitMinimizer::fParams

private

Definition at line 278 of file TMinuitMinimizer.h.

◆ fType

ROOT::Minuit::EMinimizerType TMinuitMinimizer::fType

private

Definition at line 282 of file TMinuitMinimizer.h.

◆ fUsed

bool TMinuitMinimizer::fUsed

private

Definition at line 274 of file TMinuitMinimizer.h.

Libraries for TMinuitMinimizer:

[legend]

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

math/minuit/inc/TMinuitMinimizer.h
math/minuit/src/TMinuitMinimizer.cxx

Public Member Functions

Static Public Member Functions

Protected Member Functions

Static Protected Member Functions

Private Member Functions

Private Attributes

Static Private Attributes

Additional Inherited Members

Constructor & Destructor Documentation

◆ TMinuitMinimizer() [1/3]

◆ TMinuitMinimizer() [2/3]

◆ ~TMinuitMinimizer()

◆ TMinuitMinimizer() [3/3]

Member Function Documentation

◆ CheckMinuitInstance()

◆ CheckVarIndex()

◆ Contour()

◆ CovMatrix()

◆ CovMatrixStatus()

◆ DoClear()

◆ DoReleaseFixParameter()

◆ Edm()

◆ Errors()

◆ Fcn()

◆ FcnGrad()

◆ FixVariable()

◆ GetCovMatrix()

◆ GetHessianMatrix()

◆ GetMinosError()

◆ GetVariableSettings()

◆ GlobalCC()

◆ Hesse()

◆ InitTMinuit()

◆ IsFixedVariable()

◆ MinGradient()

◆ Minimize()

◆ MinosStatus()

◆ MinValue()

◆ NCalls()

◆ NDim()

◆ NFree()

◆ operator=()

◆ PrintResults()

◆ ProvidesError()

◆ ReleaseVariable()

◆ RetrieveErrorMatrix()

◆ RetrieveParams()

◆ Scan()

◆ SetDebug()

◆ SetFixedVariable()

◆ SetFunction() [1/2]

◆ SetFunction() [2/2]

◆ SetLimitedVariable()

◆ SetLowerLimitedVariable()

◆ SetUpperLimitedVariable()

◆ SetVariable()

◆ SetVariableLimits()

◆ SetVariableLowerLimit()

◆ SetVariableStepSize()

◆ SetVariableUpperLimit()

◆ SetVariableValue()

◆ SuppressMinuitWarnings()

◆ UseStaticMinuit()

◆ VariableIndex()

◆ VariableName()

◆ X()

Member Data Documentation

◆ fCovar

◆ fDim

◆ fErrors

◆ fgMinuit

◆ fgUsed

◆ fgUseStaticMinuit

◆ fMinosRun

◆ fMinosStatus

◆ fMinuit

◆ fParams

◆ fType

◆ fUsed