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TMinuitMinimizer Class Reference

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 doubleErrors () 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 doubleMinGradient () 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 doubleX () 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.
 
TMinuitMinimizeroperator= (const TMinuitMinimizer &rhs)
 Assignment operator.
 

Private Attributes

std::vector< doublefCovar
 
unsigned int fDim
 
std::vector< doublefErrors
 
bool fMinosRun
 
int fMinosStatus = -1
 
TMinuitfMinuit
 
std::vector< doublefParams
 
ROOT::Minuit::EMinimizerType fType
 
bool fUsed
 

Static Private Attributes

static TMinuitfgMinuit = 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:

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