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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 54 of file Minuit2Minimizer.h.

Public Member Functions

 Minuit2Minimizer (const char *type)
 Constructor with a char (used by PM)
 
 Minuit2Minimizer (ROOT::Minuit2::EMinimizerType type=ROOT::Minuit2::kMigrad)
 Default constructor.
 
 ~Minuit2Minimizer () override
 Destructor (no operations)
 
void Clear () override
 reset for consecutive minimization - implement if needed
 
bool Contour (unsigned int i, unsigned int j, unsigned int &npoints, double *xi, double *xj) override
 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();
 
double Correlation (unsigned int i, unsigned int j) const override
 return correlation coefficient between variable i and j.
 
double CovMatrix (unsigned int i, unsigned int j) const override
 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.
 
int CovMatrixStatus () const override
 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
 
double Edm () const override
 return expected distance reached from the minimum
 
const doubleErrors () const override
 return errors at the minimum
 
bool FixVariable (unsigned int ivar) override
 fix an existing variable
 
bool GetCovMatrix (double *cov) const override
 Fill the passed array with the covariance matrix elements if the variable is fixed or const the value is zero.
 
bool GetHessianMatrix (double *h) const override
 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.
 
bool GetMinosError (unsigned int i, double &errLow, double &errUp, int=0) override
 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.
 
bool GetVariableSettings (unsigned int ivar, ROOT::Fit::ParameterSettings &varObj) const override
 get variable settings in a variable object (like ROOT::Fit::ParamsSettings)
 
double GlobalCC (unsigned int i) const override
 get global correlation coefficient for the variable i.
 
bool Hesse () override
 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
 
bool IsFixedVariable (unsigned int ivar) const override
 query if an existing variable is fixed (i.e.
 
const doubleMinGradient () const override
 return pointer to gradient values at the minimum
 
bool Minimize () override
 method to perform the minimization.
 
int MinosStatus () const override
 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.
 
double MinValue () const override
 return minimum function value
 
unsigned int NCalls () const override
 number of function calls to reach the minimum
 
unsigned int NDim () const override
 this is <= Function().NDim() which is the total number of variables (free+ constrained ones)
 
unsigned int NFree () const override
 number of free variables (real dimension of the problem) this is <= Function().NDim() which is the total
 
void PrintResults () override
 return reference to the objective function virtual const ROOT::Math::IGenFunction & Function() const;
 
bool ProvidesError () const override
 minimizer provides error and error matrix
 
bool ReleaseVariable (unsigned int ivar) override
 release an existing variable
 
bool Scan (unsigned int i, unsigned int &nstep, double *x, double *y, double xmin=0, double xmax=0) override
 scan a parameter i around the minimum.
 
bool SetFixedVariable (unsigned int, const std::string &, double) override
 set fixed variable (override if minimizer supports them )
 
void SetFunction (const ROOT::Math::IMultiGenFunction &func) override
 set the function to minimize
 
void SetHessianFunction (std::function< bool(const std::vector< double > &, double *)> hfunc) override
 set the function implementing Hessian computation
 
bool SetLimitedVariable (unsigned int ivar, const std::string &name, double val, double step, double, double) override
 set upper/lower limited variable (override if minimizer supports them )
 
bool SetLowerLimitedVariable (unsigned int ivar, const std::string &name, double val, double step, double lower) override
 set lower limit variable (override if minimizer supports them )
 
void SetStorageLevel (int level)
 set storage level = 1 : store all iteration states (default) = 0 : store only first and last state to save memory
 
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)
 
bool SetUpperLimitedVariable (unsigned int ivar, const std::string &name, double val, double step, double upper) override
 set upper limit variable (override if minimizer supports them )
 
bool SetVariable (unsigned int ivar, const std::string &name, double val, double step) override
 set free variable
 
bool SetVariableLimits (unsigned int ivar, double lower, double upper) override
 set the limits of an already existing variable
 
bool SetVariableLowerLimit (unsigned int ivar, double lower) override
 set the lower-limit of an already existing variable
 
bool SetVariableStepSize (unsigned int ivar, double step) override
 set the step size of an already existing variable
 
bool SetVariableUpperLimit (unsigned int ivar, double upper) override
 set the upper-limit of an already existing variable
 
bool SetVariableValue (unsigned int ivar, double val) override
 set variable
 
bool SetVariableValues (const double *val) override
 set the values of all existing variables (array must be dimensioned to the size of the existing parameters)
 
const ROOT::Minuit2::MnUserParameterStateState ()
 return the minimizer state (containing values, step size , etc..)
 
int VariableIndex (const std::string &name) const override
 get index of variable given a variable given a name return -1 if variable is not found
 
std::string VariableName (unsigned int ivar) const override
 get name of variables (override if minimizer support storing of variable names)
 
const doubleX () const override
 return pointer to X values at the minimum
 
- Public Member Functions inherited from ROOT::Math::Minimizer
 Minimizer ()
 Default constructor.
 
virtual ~Minimizer ()
 Destructor (no operations)
 
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 default 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
 
int Status () const
 status code of minimizer
 
int Strategy () const
 strategy
 
double Tolerance () const
 absolute tolerance
 

Protected Member Functions

bool ExamineMinimum (const ROOT::Minuit2::FunctionMinimum &min)
 examine the minimum result
 
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.
 
Minuit2Minimizeroperator= (const Minuit2Minimizer &rhs)
 Assignment operator.
 

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
 

Additional Inherited Members

- Protected Attributes inherited from ROOT::Math::Minimizer
MinimizerOptions fOptions
 minimizer options
 
int fStatus
 status of minimizer
 
bool fValidError
 flag to control if errors have been validated (Hesse has been run in case of Minuit)
 

#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 86 of file Minuit2Minimizer.cxx.

◆ Minuit2Minimizer() [2/3]

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

Constructor with a char (used by PM)

Definition at line 93 of file Minuit2Minimizer.cxx.

◆ ~Minuit2Minimizer()

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

Destructor (no operations)

Definition at line 145 of file Minuit2Minimizer.cxx.

◆ Minuit2Minimizer() [3/3]

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

Copy constructor.

Definition at line 156 of file Minuit2Minimizer.cxx.

Member Function Documentation

◆ Clear()

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

reset for consecutive minimization - implement if needed

Reimplemented from ROOT::Math::Minimizer.

Definition at line 169 of file Minuit2Minimizer.cxx.

◆ Contour()

bool ROOT::Minuit2::Minuit2Minimizer::Contour ( unsigned int  i,
unsigned int  j,
unsigned int npoints,
double xi,
double xj 
)
overridevirtual

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 1144 of file Minuit2Minimizer.cxx.

◆ Correlation()

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

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 811 of file Minuit2Minimizer.cxx.

◆ CovMatrix()

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

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 735 of file Minuit2Minimizer.cxx.

◆ CovMatrixStatus()

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

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 1294 of file Minuit2Minimizer.cxx.

◆ Edm()

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

return expected distance reached from the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 154 of file Minuit2Minimizer.h.

◆ Errors()

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

return errors at the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 713 of file Minuit2Minimizer.cxx.

◆ ExamineMinimum()

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

examine the minimum result

Definition at line 590 of file Minuit2Minimizer.cxx.

◆ FixVariable()

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

fix an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 326 of file Minuit2Minimizer.cxx.

◆ GetCovMatrix()

bool ROOT::Minuit2::Minuit2Minimizer::GetCovMatrix ( double cov) const
overridevirtual

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 751 of file Minuit2Minimizer.cxx.

◆ GetFCN()

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

Definition at line 301 of file Minuit2Minimizer.h.

◆ GetHessianMatrix()

bool ROOT::Minuit2::Minuit2Minimizer::GetHessianMatrix ( double h) const
overridevirtual

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 780 of file Minuit2Minimizer.cxx.

◆ GetMinimizer()

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

Definition at line 295 of file Minuit2Minimizer.h.

◆ GetMinosError()

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

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 848 of file Minuit2Minimizer.cxx.

◆ GetVariableSettings()

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

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

Reimplemented from ROOT::Math::Minimizer.

Definition at line 355 of file Minuit2Minimizer.cxx.

◆ GlobalCC()

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

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 831 of file Minuit2Minimizer.cxx.

◆ Hesse()

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

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 1200 of file Minuit2Minimizer.cxx.

◆ IsFixedVariable()

bool ROOT::Minuit2::Minuit2Minimizer::IsFixedVariable ( unsigned int  ivar) const
overridevirtual

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 344 of file Minuit2Minimizer.cxx.

◆ MinGradient()

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

return pointer to gradient values at the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 160 of file Minuit2Minimizer.h.

◆ Minimize()

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

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 453 of file Minuit2Minimizer.cxx.

◆ MinosStatus()

int ROOT::Minuit2::Minuit2Minimizer::MinosStatus ( ) const
inlineoverridevirtual

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 248 of file Minuit2Minimizer.h.

◆ MinValue()

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

return minimum function value

Implements ROOT::Math::Minimizer.

Definition at line 151 of file Minuit2Minimizer.h.

◆ NCalls()

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

number of function calls to reach the minimum

Reimplemented from ROOT::Math::Minimizer.

Definition at line 163 of file Minuit2Minimizer.h.

◆ NDim()

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

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

Implements ROOT::Math::Minimizer.

Definition at line 167 of file Minuit2Minimizer.h.

◆ NFree()

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

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 171 of file Minuit2Minimizer.h.

◆ operator=()

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

Assignment operator.

Definition at line 161 of file Minuit2Minimizer.cxx.

◆ PrintResults()

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

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 680 of file Minuit2Minimizer.cxx.

◆ ProvidesError()

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

minimizer provides error and error matrix

Reimplemented from ROOT::Math::Minimizer.

Definition at line 174 of file Minuit2Minimizer.h.

◆ ReleaseVariable()

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

release an existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 335 of file Minuit2Minimizer.cxx.

◆ RunMinosError()

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

Definition at line 919 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 
)
overridevirtual

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 1085 of file Minuit2Minimizer.cxx.

◆ SetFixedVariable()

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

set fixed variable (override if minimizer supports them )

Reimplemented from ROOT::Math::Minimizer.

Definition at line 239 of file Minuit2Minimizer.cxx.

◆ SetFunction()

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

set the function to minimize

Implements ROOT::Math::Minimizer.

Definition at line 379 of file Minuit2Minimizer.cxx.

◆ SetHessianFunction()

void ROOT::Minuit2::Minuit2Minimizer::SetHessianFunction ( std::function< bool(const std::vector< double > &, double *)>  hfunc)
overridevirtual

set the function implementing Hessian computation

Reimplemented from ROOT::Math::Minimizer.

Definition at line 412 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 
)
overridevirtual

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

Reimplemented from ROOT::Math::Minimizer.

Definition at line 229 of file Minuit2Minimizer.cxx.

◆ SetLowerLimitedVariable()

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

set lower limit variable (override if minimizer supports them )

Reimplemented from ROOT::Math::Minimizer.

Definition at line 209 of file Minuit2Minimizer.cxx.

◆ SetMinimizer()

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

Definition at line 297 of file Minuit2Minimizer.h.

◆ SetMinimizerType()

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

Definition at line 116 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 1328 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 1321 of file Minuit2Minimizer.cxx.

◆ SetUpperLimitedVariable()

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

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 
)
overridevirtual

set free variable

Implements ROOT::Math::Minimizer.

Definition at line 181 of file Minuit2Minimizer.cxx.

◆ SetVariableLimits()

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

set the limits of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 316 of file Minuit2Minimizer.cxx.

◆ SetVariableLowerLimit()

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

set the lower-limit of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 297 of file Minuit2Minimizer.cxx.

◆ SetVariableStepSize()

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

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 
)
overridevirtual

set the upper-limit of an already existing variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 306 of file Minuit2Minimizer.cxx.

◆ SetVariableValue()

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

set variable

Reimplemented from ROOT::Math::Minimizer.

Definition at line 267 of file Minuit2Minimizer.cxx.

◆ SetVariableValues()

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

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 276 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 290 of file Minuit2Minimizer.h.

◆ VariableIndex()

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

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 260 of file Minuit2Minimizer.cxx.

◆ VariableName()

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

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

Reimplemented from ROOT::Math::Minimizer.

Definition at line 252 of file Minuit2Minimizer.cxx.

◆ X()

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

return pointer to X values at the minimum

Implements ROOT::Math::Minimizer.

Definition at line 157 of file Minuit2Minimizer.h.

Member Data Documentation

◆ fDim

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

Definition at line 310 of file Minuit2Minimizer.h.

◆ fErrors

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

Definition at line 320 of file Minuit2Minimizer.h.

◆ fMinimizer

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

Definition at line 316 of file Minuit2Minimizer.h.

◆ fMinimum

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

Definition at line 318 of file Minuit2Minimizer.h.

◆ fMinosStatus

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

Definition at line 312 of file Minuit2Minimizer.h.

◆ fMinuitFCN

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

Definition at line 317 of file Minuit2Minimizer.h.

◆ fState

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

Definition at line 314 of file Minuit2Minimizer.h.

◆ fUseFumili

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

Definition at line 311 of file Minuit2Minimizer.h.

◆ fValues

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

Definition at line 319 of file Minuit2Minimizer.h.

Libraries for ROOT::Minuit2::Minuit2Minimizer:

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