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).

Definition at line 61 of file Minuit2Minimizer.h.

Public Member Functions
	Minuit2Minimizer (ROOT::Minuit2::EMinimizerType type=ROOT::Minuit2::kMigrad)
	Default constructor. More...

	Minuit2Minimizer (const char *type)
	Constructor with a char (used by PM) More...

virtual	~Minuit2Minimizer ()
	Destructor (no operations) More...

virtual void	Clear ()
	reset for consecutive minimizations - implement if needed More...

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

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

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

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 ) More...

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 ) More...

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 ) More...

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

virtual bool	SetVariableValue (unsigned int ivar, double val)
	set variable More...

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

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

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

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

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

virtual bool	FixVariable (unsigned int ivar)
	fix an existing variable More...

virtual bool	ReleaseVariable (unsigned int ivar)
	release an existing variable More...

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

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

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

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

virtual bool	Minimize ()
	method to perform the minimization. More...

virtual double	MinValue () const
	return minimum function value More...

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

virtual const double *	X () const
	return pointer to X values at the minimum More...

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

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

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

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

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

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

virtual double	CovMatrix (unsigned int i, unsigned int j) const
	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. More...

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. More...

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. More...

virtual int	CovMatrixStatus () const
	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 More...

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

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

virtual bool	GetMinosError (unsigned int i, double &errLow, double &errUp, int=0)
	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 where the minos status is: status = 1 : maximum number of function calls exceeded when running for lower error status = 2 : maximum number of function calls exceeded when running for upper error status = 3 : new minimum found when running for lower error status = 4 : new minimum found when running for upper error status = 5 : any other failure More...

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. More...

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(); More...

virtual bool	Hesse ()
	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 More...

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

void	SetTraceObject (MnTraceObject &obj)
	set an object to trace operation for each iteration The object muust implement operator() (unsigned int, MinimumState & state) More...

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

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

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

virtual	~Minimizer ()
	Destructor (no operations) More...

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

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

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

int	PrintLevel () const
	minimizer configuration parameters More...

unsigned int	MaxFunctionCalls () const
	max number of function calls More...

unsigned int	MaxIterations () const
	max iterations More...

double	Tolerance () const
	absolute tolerance More...

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) More...

int	Strategy () const
	strategy More...

int	Status () const
	status code of minimizer More...

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

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

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

void	SetPrintLevel (int level)
	set print level More...

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

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

void	SetTolerance (double tol)
	set the tolerance More...

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. More...

void	SetStrategy (int strategyLevel)
	set the strategy More...

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

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

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

void	SetDefaultOptions ()
	reset the defaut options (defined in MinimizerOptions) More...

Protected Member Functions
virtual const ROOT::Minuit2::ModularFunctionMinimizer *	GetMinimizer () const

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

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

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

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

Private Member Functions
	Minuit2Minimizer (const Minuit2Minimizer &)
	Copy constructor. More...

Minuit2Minimizer &	operator= (const Minuit2Minimizer &rhs)
	Assignment operator. More...

Private Attributes
unsigned int	fDim

bool	fUseFumili

ROOT::Minuit2::MnUserParameterState	fState

ROOT::Minuit2::ModularFunctionMinimizer *	fMinimizer

ROOT::Minuit2::FCNBase *	fMinuitFCN

ROOT::Minuit2::FunctionMinimum *	fMinimum

std::vector< double >	fValues

std::vector< double >	fErrors

Additional Inherited Members
Protected Attributes inherited from ROOT::Math::Minimizer
bool	fValidError

MinimizerOptions	fOptions

int	fStatus

#include <Minuit2/Minuit2Minimizer.h>

Inheritance diagram for ROOT::Minuit2::Minuit2Minimizer:

[legend]

Constructor & Destructor Documentation

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

Default constructor.

Definition at line 82 of file Minuit2Minimizer.cxx.

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

Constructor with a char (used by PM)

Definition at line 93 of file Minuit2Minimizer.cxx.

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

virtual

Destructor (no operations)

Definition at line 145 of file Minuit2Minimizer.cxx.

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

private

Copy constructor.

Definition at line 153 of file Minuit2Minimizer.cxx.

Member Function Documentation

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

virtual

reset for consecutive minimizations - implement if needed

Reimplemented from ROOT::Math::Minimizer.

Definition at line 167 of file Minuit2Minimizer.cxx.

bool ROOT::Minuit2::Minuit2Minimizer::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 961 of file Minuit2Minimizer.cxx.

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

virtual

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 728 of file Minuit2Minimizer.cxx.

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

virtual

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 661 of file Minuit2Minimizer.cxx.

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

virtual

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 1102 of file Minuit2Minimizer.cxx.

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

inlinevirtual

return expected distance reached from the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 160 of file Minuit2Minimizer.h.

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

virtual

return errors at the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 641 of file Minuit2Minimizer.cxx.

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

protected

examine the minimum result

Definition at line 527 of file Minuit2Minimizer.cxx.

Referenced by Minimize().

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

virtual

fix an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 304 of file Minuit2Minimizer.cxx.

bool ROOT::Minuit2::Minuit2Minimizer::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 672 of file Minuit2Minimizer.cxx.

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

inlineprotectedvirtual

Definition at line 306 of file Minuit2Minimizer.h.

Referenced by Minimize().

bool ROOT::Minuit2::Minuit2Minimizer::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 699 of file Minuit2Minimizer.cxx.

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

inlineprotectedvirtual

Definition at line 300 of file Minuit2Minimizer.h.

Referenced by Minimize().

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

virtual

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 where the minos status is: status = 1 : maximum number of function calls exceeded when running for lower error status = 2 : maximum number of function calls exceeded when running for upper error status = 3 : new minimum found when running for lower error status = 4 : new minimum found when running for upper error status = 5 : any other failure

Reimplemented from ROOT::Math::Minimizer.

Definition at line 756 of file Minuit2Minimizer.cxx.

bool ROOT::Minuit2::Minuit2Minimizer::GetVariableSettings	(	unsigned int	ivar,
		ROOT::Fit::ParameterSettings &	varObj
	)		const

virtual

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

Reimplemented from ROOT::Math::Minimizer.

Definition at line 327 of file Minuit2Minimizer.cxx.

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

virtual

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 742 of file Minuit2Minimizer.cxx.

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

virtual

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 1018 of file Minuit2Minimizer.cxx.

bool ROOT::Minuit2::Minuit2Minimizer::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 318 of file Minuit2Minimizer.cxx.

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

inlinevirtual

return pointer to gradient values at the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 166 of file Minuit2Minimizer.h.

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

virtual

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 380 of file Minuit2Minimizer.cxx.

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

inlinevirtual

return minimum function value

Implements ROOT::Math::Minimizer.

Definition at line 157 of file Minuit2Minimizer.h.

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

inlinevirtual

number of function calls to reach the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 169 of file Minuit2Minimizer.h.

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

inlinevirtual

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

Implements ROOT::Math::Minimizer.

Definition at line 173 of file Minuit2Minimizer.h.

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

inlinevirtual

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 177 of file Minuit2Minimizer.h.

Minuit2Minimizer & ROOT::Minuit2::Minuit2Minimizer::operator= ( const Minuit2Minimizer & rhs )

private

Assignment operator.

Definition at line 159 of file Minuit2Minimizer.cxx.

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

virtual

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 595 of file Minuit2Minimizer.cxx.

Referenced by ExamineMinimum().

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

inlinevirtual

minimizer provides error and error matrix

Reimplemented from ROOT::Math::Minimizer.

Definition at line 180 of file Minuit2Minimizer.h.

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

virtual

release an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 311 of file Minuit2Minimizer.cxx.

bool ROOT::Minuit2::Minuit2Minimizer::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 903 of file Minuit2Minimizer.cxx.

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

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

virtual

set the function to minimize

Implements ROOT::Math::Minimizer.

Definition at line 344 of file Minuit2Minimizer.cxx.

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

virtual

set gradient the function to minimize

Reimplemented from ROOT::Math::Minimizer.

Definition at line 362 of file Minuit2Minimizer.cxx.

bool ROOT::Minuit2::Minuit2Minimizer::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 224 of file Minuit2Minimizer.cxx.

bool ROOT::Minuit2::Minuit2Minimizer::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 208 of file Minuit2Minimizer.cxx.

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

inlineprotectedvirtual

Definition at line 302 of file Minuit2Minimizer.h.

Referenced by SetMinimizerType().

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

protected

Definition at line 115 of file Minuit2Minimizer.cxx.

Referenced by Minuit2Minimizer().

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 1131 of file Minuit2Minimizer.cxx.

Referenced by Minimize().

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

set an object to trace operation for each iteration The object muust implement operator() (unsigned int, MinimumState & state)

Definition at line 1125 of file Minuit2Minimizer.cxx.

Referenced by Minimize().

bool ROOT::Minuit2::Minuit2Minimizer::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 215 of file Minuit2Minimizer.cxx.

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

virtual

set free variable

Implements ROOT::Math::Minimizer.

Definition at line 178 of file Minuit2Minimizer.cxx.

Referenced by SetFixedVariable(), SetLimitedVariable(), SetLowerLimitedVariable(), and SetUpperLimitedVariable().

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

virtual

set the limits of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 296 of file Minuit2Minimizer.cxx.

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

virtual

set the lower-limit of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 281 of file Minuit2Minimizer.cxx.

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

virtual

set the step size of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 273 of file Minuit2Minimizer.cxx.

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

virtual

set the upper-limit of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 288 of file Minuit2Minimizer.cxx.

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

virtual

set variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 257 of file Minuit2Minimizer.cxx.

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

virtual

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 264 of file Minuit2Minimizer.cxx.

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

inline

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

Definition at line 294 of file Minuit2Minimizer.h.

int ROOT::Minuit2::Minuit2Minimizer::VariableIndex ( const std::string & name ) const

virtual

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 250 of file Minuit2Minimizer.cxx.

std::string ROOT::Minuit2::Minuit2Minimizer::VariableName ( unsigned int ivar ) const

virtual

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

Reimplemented from ROOT::Math::Minimizer.

Definition at line 243 of file Minuit2Minimizer.cxx.

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

virtual

return pointer to X values at the minimum

Implements ROOT::Math::Minimizer.

Definition at line 625 of file Minuit2Minimizer.cxx.

Member Data Documentation

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

private

Definition at line 313 of file Minuit2Minimizer.h.

Referenced by Correlation(), CovMatrix(), Errors(), GetCovMatrix(), GetHessianMatrix(), GlobalCC(), NDim(), SetFunction(), and X().

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

mutableprivate

Definition at line 322 of file Minuit2Minimizer.h.

Referenced by Errors().

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

private

Definition at line 318 of file Minuit2Minimizer.h.

Referenced by GetMinimizer(), Minimize(), SetMinimizer(), SetStorageLevel(), SetTraceObject(), and ~Minuit2Minimizer().

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

private

Definition at line 320 of file Minuit2Minimizer.h.

Referenced by Clear(), Contour(), CovMatrixStatus(), GetMinosError(), Hesse(), Minimize(), PrintResults(), and ~Minuit2Minimizer().

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

private

Definition at line 319 of file Minuit2Minimizer.h.

Referenced by Contour(), GetFCN(), GetMinosError(), Hesse(), Minimize(), Scan(), SetFunction(), and ~Minuit2Minimizer().

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

private

bool ROOT::Minuit2::Minuit2Minimizer::fUseFumili

private

Definition at line 314 of file Minuit2Minimizer.h.

Referenced by SetFunction(), and SetMinimizerType().

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

mutableprivate

Definition at line 321 of file Minuit2Minimizer.h.

Referenced by X().

Collaboration diagram 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

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