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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 65 of file Minuit2Minimizer.h.

Public Member Functions

 Minuit2Minimizer (const char *type)
 Constructor with a char (used by PM) More...
 
 Minuit2Minimizer (ROOT::Minuit2::EMinimizerType type=ROOT::Minuit2::kMigrad)
 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 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 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...
 
virtual const doubleMinGradient () const
 return pointer to gradient values at the minimum More...
 
virtual bool Minimize ()
 method to perform the minimization. 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...
 
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...
 
unsigned int MaxFunctionCalls () const
 max number of function calls More...
 
unsigned int MaxIterations () const
 max iterations 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...
 
void SetDefaultOptions ()
 reset the defaut options (defined in MinimizerOptions) More...
 
void SetErrorDef (double up)
 set scale for calculating the errors 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...
 
void SetValidError (bool on)
 flag to check if minimizer needs to perform accurate error analysis (e.g. run Hesse for Minuit) More...
 
virtual bool SetVariableInitialRange (unsigned int, double, double)
 set the initial range of an existing variable More...
 
template<class VariableIterator >
int SetVariables (const VariableIterator &begin, const VariableIterator &end)
 add variables . Return number of variables successfully added More...
 
int Status () const
 status code of minimizer More...
 
int Strategy () const
 strategy More...
 
double Tolerance () const
 absolute tolerance 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
 
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
 
ROOT::Minuit2::FCNBasefMinuitFCN
 
ROOT::Minuit2::MnUserParameterState fState
 
bool fUseFumili
 
std::vector< doublefValues
 

Additional Inherited Members

- Protected Attributes inherited from ROOT::Math::Minimizer
MinimizerOptions fOptions
 
int fStatus
 
bool fValidError
 

#include <Minuit2/Minuit2Minimizer.h>

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

Constructor & Destructor Documentation

◆ Minuit2Minimizer() [1/3]

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

Default constructor.

Definition at line 91 of file Minuit2Minimizer.cxx.

◆ Minuit2Minimizer() [2/3]

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

Constructor with a char (used by PM)

Definition at line 102 of file Minuit2Minimizer.cxx.

◆ ~Minuit2Minimizer()

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

Destructor (no operations)

Definition at line 159 of file Minuit2Minimizer.cxx.

◆ Minuit2Minimizer() [3/3]

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

Copy constructor.

Definition at line 167 of file Minuit2Minimizer.cxx.

Member Function Documentation

◆ Clear()

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

reset for consecutive minimizations - implement if needed

Reimplemented from ROOT::Math::Minimizer.

Definition at line 181 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 1027 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 755 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 688 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 1170 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 164 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 668 of file Minuit2Minimizer.cxx.

◆ ExamineMinimum()

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

examine the minimum result

Definition at line 548 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 318 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 699 of file Minuit2Minimizer.cxx.

◆ GetFCN()

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

Definition at line 310 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 726 of file Minuit2Minimizer.cxx.

◆ GetMinimizer()

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

Definition at line 304 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 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 783 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 341 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 769 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 1084 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 332 of file Minuit2Minimizer.cxx.

◆ MinGradient()

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 170 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 400 of file Minuit2Minimizer.cxx.

◆ MinValue()

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

return minimum function value

Implements ROOT::Math::Minimizer.

Definition at line 161 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 173 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 177 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 181 of file Minuit2Minimizer.h.

◆ operator=()

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

Assignment operator.

Definition at line 173 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 622 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 184 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 325 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 969 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 245 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 364 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 382 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 238 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 222 of file Minuit2Minimizer.cxx.

◆ SetMinimizer()

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

Definition at line 306 of file Minuit2Minimizer.h.

◆ SetMinimizerType()

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

Definition at line 125 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 1199 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 1193 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 229 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 192 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 310 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 295 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 287 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 302 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 271 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 278 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 298 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 264 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 257 of file Minuit2Minimizer.cxx.

◆ X()

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

return pointer to X values at the minimum

Implements ROOT::Math::Minimizer.

Definition at line 652 of file Minuit2Minimizer.cxx.

Member Data Documentation

◆ fDim

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

Definition at line 317 of file Minuit2Minimizer.h.

◆ fErrors

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

Definition at line 326 of file Minuit2Minimizer.h.

◆ fMinimizer

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

Definition at line 322 of file Minuit2Minimizer.h.

◆ fMinimum

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

Definition at line 324 of file Minuit2Minimizer.h.

◆ fMinuitFCN

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

Definition at line 323 of file Minuit2Minimizer.h.

◆ fState

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

Definition at line 320 of file Minuit2Minimizer.h.

◆ fUseFumili

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

Definition at line 318 of file Minuit2Minimizer.h.

◆ fValues

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

Definition at line 325 of file Minuit2Minimizer.h.

Libraries for ROOT::Minuit2::Minuit2Minimizer:
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The documentation for this class was generated from the following files: