ROOT   Reference Guide
ROOT::Minuit2::Minuit2Minimizer Class Reference

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 58 of file Minuit2Minimizer.h.

## Public Member Functions

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

Default constructor. More...

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

virtual void Clear ()
reset for consecutive minimizations - implement if needed 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 double Correlation (unsigned int i, unsigned int j) const
return correlation coefficient between variable i and j. 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 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 Edm () const
return expected distance reached from the minimum More...

virtual const doubleErrors () const
return errors at the minimum More...

virtual bool FixVariable (unsigned int ivar)
fix an existing variable 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 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. 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 double GlobalCC (unsigned int i) const
get global correlation coefficient for the variable i. 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 bool IsFixedVariable (unsigned int ivar) const
query if an existing variable is fixed (i.e. More...

return pointer to gradient values at the minimum More...

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

virtual int MinosStatus () const
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. More...

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

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

virtual bool ReleaseVariable (unsigned int ivar)
release an existing variable 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 SetFixedVariable (unsigned int, const std::string &, double)
set fixed variable (override if minimizer supports them ) 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 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 SetLowerLimitedVariable (unsigned int ivar, const std::string &name, double val, double step, double lower)
set lower limit variable (override if minimizer supports them ) 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...

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

virtual bool SetVariableLimits (unsigned int ivar, double lower, double upper)
set the limits 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 SetVariableStepSize (unsigned int ivar, double step)
set the step size 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 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...

const ROOT::Minuit2::MnUserParameterStateState ()
return the minimizer state (containing values, step size , etc..) 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 std::string VariableName (unsigned int ivar) const
get name of variables (override if minimizer support storing of variable names) More...

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

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

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

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

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

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

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

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

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

virtual const doubleErrors () const
return errors at the minimum More...

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

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

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

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

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

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

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

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

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

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

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

return pointer to gradient values at the minimum More...

virtual bool Minimize ()=0
method to perform the minimization More...

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

virtual double MinValue () const =0
return minimum function value More...

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

virtual unsigned int NDim () const =0
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 (re-implement if minimizer supports bounded parameters) More...

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

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

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

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

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

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

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

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

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

virtual void SetFunction (const ROOT::Math::IMultiGenFunction &func)=0
set the function to minimize More...

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

virtual bool SetLimitedVariable (unsigned int ivar, const std::string &name, double val, double step, double lower, double upper)
set a new upper/lower limited variable (override if minimizer supports them ) otherwise as default set an unlimited variable More...

virtual bool SetLowerLimitedVariable (unsigned int ivar, const std::string &name, double val, double step, double lower)
set a new lower limit variable (override if minimizer supports them ) 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 SetOptions (const MinimizerOptions &opt)
set all options in one go 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 SetPrintLevel (int level)
set print level More...

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

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

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

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

virtual bool SetVariable (unsigned int ivar, const std::string &name, double val, double step)=0
set a new free variable More...

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

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

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

template<class VariableIterator >
int SetVariables (const VariableIterator &begin, const VariableIterator &end)

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

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

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

int Strategy () const
strategy More...

double Tolerance () const
absolute tolerance 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 std::string VariableName (unsigned int ivar) const
get name of variables (override if minimizer support storing of variable names) return an empty string if variable is not found More...

virtual const doubleX () const =0
return pointer to X values at the minimum More...

## Protected Member Functions

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

virtual const ROOT::Minuit2::FCNBaseGetFCN () const

virtual const ROOT::Minuit2::ModularFunctionMinimizerGetMinimizer () const

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

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

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

## Private Member Functions

Minuit2Minimizer (const Minuit2Minimizer &)
Copy constructor. More...

Minuit2Minimizeroperator= (const Minuit2Minimizer &rhs)
Assignment operator. More...

## Private Attributes

unsigned int fDim

std::vector< doublefErrors

ROOT::Minuit2::ModularFunctionMinimizerfMinimizer

ROOT::Minuit2::FunctionMinimumfMinimum

int fMinosStatus = -1

ROOT::Minuit2::FCNBasefMinuitFCN

ROOT::Minuit2::MnUserParameterState fState

bool fUseFumili

std::vector< doublefValues

Protected Attributes inherited from ROOT::Math::Minimizer
MinimizerOptions fOptions

int fStatus

bool fValidError

#include <Minuit2/Minuit2Minimizer.h>

Inheritance diagram for ROOT::Minuit2::Minuit2Minimizer:
[legend]

## ◆ Minuit2Minimizer() [1/3]

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

Default constructor.

Definition at line 81 of file Minuit2Minimizer.cxx.

## ◆ Minuit2Minimizer() [2/3]

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

Constructor with a char (used by PM)

Definition at line 92 of file Minuit2Minimizer.cxx.

## ◆ ~Minuit2Minimizer()

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

Destructor (no operations)

Definition at line 149 of file Minuit2Minimizer.cxx.

## ◆ Minuit2Minimizer() [3/3]

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

Copy constructor.

Definition at line 157 of file Minuit2Minimizer.cxx.

## ◆ Clear()

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

reset for consecutive minimizations - implement if needed

Reimplemented from ROOT::Math::Minimizer.

Definition at line 171 of file Minuit2Minimizer.cxx.

## ◆ Contour()

 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 1059 of file Minuit2Minimizer.cxx.

## ◆ Correlation()

 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 740 of file Minuit2Minimizer.cxx.

## ◆ CovMatrix()

 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 673 of file Minuit2Minimizer.cxx.

## ◆ CovMatrixStatus()

 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 1202 of file Minuit2Minimizer.cxx.

## ◆ Edm()

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

return expected distance reached from the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 157 of file Minuit2Minimizer.h.

## ◆ Errors()

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

return errors at the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 653 of file Minuit2Minimizer.cxx.

## ◆ ExamineMinimum()

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

examine the minimum result

Definition at line 538 of file Minuit2Minimizer.cxx.

## ◆ FixVariable()

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

fix an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 308 of file Minuit2Minimizer.cxx.

## ◆ GetCovMatrix()

 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 684 of file Minuit2Minimizer.cxx.

## ◆ GetFCN()

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

Definition at line 308 of file Minuit2Minimizer.h.

## ◆ GetHessianMatrix()

 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 711 of file Minuit2Minimizer.cxx.

## ◆ GetMinimizer()

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

Definition at line 302 of file Minuit2Minimizer.h.

## ◆ GetMinosError()

 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.

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

Reimplemented from ROOT::Math::Minimizer.

Definition at line 768 of file Minuit2Minimizer.cxx.

## ◆ GetVariableSettings()

 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 331 of file Minuit2Minimizer.cxx.

## ◆ GlobalCC()

 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 754 of file Minuit2Minimizer.cxx.

## ◆ Hesse()

 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 1116 of file Minuit2Minimizer.cxx.

## ◆ IsFixedVariable()

 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 322 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 163 of file Minuit2Minimizer.h.

## ◆ Minimize()

 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 390 of file Minuit2Minimizer.cxx.

## ◆ MinosStatus()

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

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 253 of file Minuit2Minimizer.h.

## ◆ MinValue()

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

return minimum function value

Implements ROOT::Math::Minimizer.

Definition at line 154 of file Minuit2Minimizer.h.

## ◆ NCalls()

 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 166 of file Minuit2Minimizer.h.

## ◆ NDim()

 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 170 of file Minuit2Minimizer.h.

## ◆ NFree()

 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 174 of file Minuit2Minimizer.h.

## ◆ operator=()

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

Assignment operator.

Definition at line 163 of file Minuit2Minimizer.cxx.

## ◆ PrintResults()

 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 623 of file Minuit2Minimizer.cxx.

## ◆ ProvidesError()

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

minimizer provides error and error matrix

Reimplemented from ROOT::Math::Minimizer.

Definition at line 177 of file Minuit2Minimizer.h.

## ◆ ReleaseVariable()

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

release an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 315 of file Minuit2Minimizer.cxx.

## ◆ RunMinosError()

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

Definition at line 839 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 )
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 1001 of file Minuit2Minimizer.cxx.

## ◆ SetFixedVariable()

 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 235 of file Minuit2Minimizer.cxx.

## ◆ SetFunction() [1/2]

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

set the function to minimize

Implements ROOT::Math::Minimizer.

Definition at line 354 of file Minuit2Minimizer.cxx.

## ◆ SetFunction() [2/2]

 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 372 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 )
virtual

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

Reimplemented from ROOT::Math::Minimizer.

Definition at line 228 of file Minuit2Minimizer.cxx.

## ◆ SetLowerLimitedVariable()

 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 212 of file Minuit2Minimizer.cxx.

## ◆ SetMinimizer()

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

Definition at line 304 of file Minuit2Minimizer.h.

## ◆ SetMinimizerType()

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

Definition at line 115 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 1231 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 1225 of file Minuit2Minimizer.cxx.

## ◆ SetUpperLimitedVariable()

 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 219 of file Minuit2Minimizer.cxx.

## ◆ SetVariable()

 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 182 of file Minuit2Minimizer.cxx.

## ◆ SetVariableLimits()

 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 300 of file Minuit2Minimizer.cxx.

## ◆ SetVariableLowerLimit()

 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 285 of file Minuit2Minimizer.cxx.

## ◆ SetVariableStepSize()

 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 277 of file Minuit2Minimizer.cxx.

## ◆ SetVariableUpperLimit()

 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 292 of file Minuit2Minimizer.cxx.

## ◆ SetVariableValue()

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

set variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 261 of file Minuit2Minimizer.cxx.

## ◆ SetVariableValues()

 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 268 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 296 of file Minuit2Minimizer.h.

## ◆ VariableIndex()

 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 254 of file Minuit2Minimizer.cxx.

## ◆ VariableName()

 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 247 of file Minuit2Minimizer.cxx.

## ◆ X()

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

return pointer to X values at the minimum

Implements ROOT::Math::Minimizer.

Definition at line 160 of file Minuit2Minimizer.h.

## ◆ fDim

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

Definition at line 318 of file Minuit2Minimizer.h.

## ◆ fErrors

 std::vector ROOT::Minuit2::Minuit2Minimizer::fErrors
mutableprivate

Definition at line 328 of file Minuit2Minimizer.h.

## ◆ fMinimizer

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

Definition at line 324 of file Minuit2Minimizer.h.

## ◆ fMinimum

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

Definition at line 326 of file Minuit2Minimizer.h.

## ◆ fMinosStatus

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

Definition at line 320 of file Minuit2Minimizer.h.

## ◆ fMinuitFCN

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

Definition at line 325 of file Minuit2Minimizer.h.

## ◆ fState

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

Definition at line 322 of file Minuit2Minimizer.h.

## ◆ fUseFumili

 bool ROOT::Minuit2::Minuit2Minimizer::fUseFumili
private

Definition at line 319 of file Minuit2Minimizer.h.

## ◆ fValues

 std::vector ROOT::Minuit2::Minuit2Minimizer::fValues
mutableprivate

Definition at line 327 of file Minuit2Minimizer.h.

Libraries for ROOT::Minuit2::Minuit2Minimizer:
[legend]

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