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Uranie / Optimizer v4.9.0
/* @license-end */
Public Types | Private Attributes | List of all members
URANIE::Optimizer::TOptimizer Class Reference

Description of the class TOptimizer. More...

#include <TOptimizer.h>

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Public Types

enum  EOptimType { kMinimizeCode , kMinimizeFunction , kSumOfSquare }
 
enum  EOptimMethod { kMigrad , kSimplex , kCombined , kScan }
 

Public Member Functions

Constructor and Destructor
 TOptimizer (URANIE::DataServer::TDataServer *tds, URANIE::Launcher::TCode *code)
 Constructor with a dataserver.
 
 TOptimizer (URANIE::DataServer::TDataServer *tds, void(*fcn)(Double_t *, Double_t *), TString sinput, TString soutput)
 Constructor by a TDataServer, a function and list of input and output (optional)
 
 TOptimizer (URANIE::DataServer::TDataServer *tds, const char *fcn, TString sinput="", TString soutput="")
 Constructor by a TDataServer, a function name and list of input and output (optional)
 
virtual ~TOptimizer ()
 Default destructor.
 
Set/Get parameters
void setTolerance (Double_t dtol)
 Set the tolerance parameter.
 
Double_t getTolerance ()
 Get the tolerance parameter.
 
void setMaxIterations (Int_t nmax)
 Set the maximum number of iterations.
 
Int_t getMaxIterations ()
 Get the maximum number of iterations.
 
void setMaxFunctionCalls (Int_t nmax)
 Set the maximum number of evaluations.
 
Int_t getMaxFunctionCalls ()
 Get the maximum numbers of evaluations.
 
Set/Get the method of Optimization

These classe is a wrapper with the TMinuit library interfaced in ROOT which contains several algorithm of optimization :

  • kMigrad : the Migrad algorithm; it is a quasi Newton algorithm. It is the default algorithm selected in Uranie.
  • kSimplex : the Simplex algorithm
  • kCombined :
  • kScan :
void setMethod (EOptimMethod method=kMigrad)
 Select the algorithm of optimization.
 
EOptimMethod getMethod ()
 Return the algorithm of optimization.
 
EOptimType getOptimType ()
 Return the type of optimization.
 
void setPrintLevel (int level)
 Set the print Level of Debug between $ [1, 5]$.
 
int getPrintLevel () const
 Get the print Level of Debug between $ [1, 5]$.
 
Manipulate the code
virtual void init (Option_t *option="")
 Init phase of the code.
 
virtual void optimize (Option_t *option="")
 Runs phase of the code (TMinuit2)
 
virtual void terminate (Option_t *option="")
 Terminates phase of the code.
 
virtual void clean (Option_t *option="")
 Cleans the working directory of the code.
 
Manipulate the Objectives

In the case of calibration of code, we can define one or several "Objectives" to specify the criteria to minimize. The criteria to minimize is a sum of weighted objectives:

\[ C = \sum_{i=1}^{nO}{\omega_i Obj_{i}} \]

By default, all added objectives are "active" and the weight $ \omega = 1.0$.

void addObjective (TString name, URANIE::DataServer::TDataServer *tds, TString ystar, URANIE::Launcher::TOutputFile *outfile, TString yhat, Double_t weight=1.0)
 Add the objective in the TOptimizer object : Sum of square of the error.
 
void addObjective (TString name, URANIE::DataServer::TDataServer *tds, TString ystar, TString sigma, URANIE::Launcher::TOutputFile *outfile, TString yhat, Double_t alpha=1.0)
 Add the objective in the TOptimizer object : Sum of square of the weighted error.
 
void unactiveObjective (TString name)
 Unactive the objective given by these name.
 
void activeObjective (TString name)
 Active the objective given by these name.
 
void invertObjectives ()
 Invert the state of all the objectives.
 
vector< URANIE::Optimizer::TObjective * > getObjectives ()
 get the vector containing the objectives
 
void addOutputVariable (TString soutput)
 Add input and output variables.
 
void selectCost (TString scost)
 Select an cost in the Output string.
 
TString getSelectedCost ()
 Get the selected Select an cost in the Output string.
 
Manipulate the parameters

At any time, we can change the state of the parameters; it can be fix to the default value or it can be variable in these range.

void fixParameter (TString name)
 Fix the parameter given by these name to the default value.
 
void unfixParameter (TString name)
 Unfix the parameter given by these name.
 
void invertParameters ()
 Invert the state of all the parameters.
 
Printing Log
void printState (Option_t *option="")
 Print the state of the algorithm of optimization.
 
void setLog ()
 
void unsetLog ()
 
void changeLog ()
 
Bool_t getLog ()
 
virtual void printLog (Option_t *option="")
 

Private Attributes

TString _sdirectory
 Current directory.
 
Bool_t _bsave
 Saves all the computation files in each directory.
 
Bool_t _bclean
 Cleans the Working Directory before running the code.
 
Bool_t _blog
 Boolean to edit the log.
 
Int_t _nPrintLevel
 The level of Debg between $ [1, 5]$ without test.
 
URANIE::DataServer::TDataServer * _tds
 
URANIE::Launcher::TCode * _code
 Pointer vers un TDS.
 
Int_t _nMaxIterations
 Pointer vers un TCode.
 
Int_t _nMaxFunctionCalls
 The max number to call the code/function.
 
Double_t _dTolerance
 The tolerance parameter.
 
vector< TObjective * > _objectives
 vector of objectives
 
TMethodCall * _fMethodCall
 Pointer to MethodCall in case of interpreted function.
 
void(* _fMethod )(Double_t *, Double_t *)
 
TString _sFunctionName
 A pointer for the analytical function.
 
EOptimType _optimProblem
 Function name.
 
EOptimMethod _optimMethod
 The method of optimisation.
 
TString _sInput
 The string of input attributes.
 
TString _sOutput
 The string of output attributes (the number must be equal to 1)
 
TString _sCost
 The name od the selected cost (the number must be equal to 1)
 

Detailed Description

Description of the class TOptimizer.

To be written by the developper.

Member Enumeration Documentation

◆ EOptimMethod

enum URANIE::Optimizer::TOptimizer::EOptimMethod
Enumerator
kMigrad 
kSimplex 
kCombined 
kScan 

◆ EOptimType

enum URANIE::Optimizer::TOptimizer::EOptimType
Enumerator
kMinimizeCode 
kMinimizeFunction 
kSumOfSquare 

Constructor & Destructor Documentation

◆ TOptimizer() [1/3]

URANIE::Optimizer::TOptimizer::TOptimizer ( URANIE::DataServer::TDataServer *  tds,
URANIE::Launcher::TCode *  code 
)

Constructor with a dataserver.

Referenced by ClassImp().

◆ TOptimizer() [2/3]

URANIE::Optimizer::TOptimizer::TOptimizer ( URANIE::DataServer::TDataServer *  tds,
void(*)(Double_t *, Double_t *)  fcn,
TString  sinput,
TString  soutput 
)

Constructor by a TDataServer, a function and list of input and output (optional)

◆ TOptimizer() [3/3]

URANIE::Optimizer::TOptimizer::TOptimizer ( URANIE::DataServer::TDataServer *  tds,
const char *  fcn,
TString  sinput = "",
TString  soutput = "" 
)

Constructor by a TDataServer, a function name and list of input and output (optional)

◆ ~TOptimizer()

virtual URANIE::Optimizer::TOptimizer::~TOptimizer ( )
virtual

Default destructor.

Referenced by ClassImp().

Member Function Documentation

◆ activeObjective()

void URANIE::Optimizer::TOptimizer::activeObjective ( TString  name)

Active the objective given by these name.

Referenced by ClassImp().

◆ addObjective() [1/2]

void URANIE::Optimizer::TOptimizer::addObjective ( TString  name,
URANIE::DataServer::TDataServer *  tds,
TString  ystar,
TString  sigma,
URANIE::Launcher::TOutputFile *  outfile,
TString  yhat,
Double_t  alpha = 1.0 
)

Add the objective in the TOptimizer object : Sum of square of the weighted error.

The objective is computed with formula

\[ obj = \alpha \sum_{i=1}^{n}{\frac{(y^{\star}_{i} - \hat{y}_{i})^{2}}{\sigma_{i}^{2}}} \]

Parameters
name(TString) the name of the TObjective
tds(TDataServer *) The pointer of the TDataServer object which contains the attribute $ y^{\star}$
ystar(TString) the name of the $ y^{\star}$ attribute
sigma(TString) the name of the weight $ \sigma$ attribute
outfile(TOutputFile *) The pointer of the TOutputFile object which contains the attribute $ \hat{y}$
yhat(TString) the name of the $ \hat{y}$ attribute
alpha(Double_t) The weight of the objective [1.0]

◆ addObjective() [2/2]

void URANIE::Optimizer::TOptimizer::addObjective ( TString  name,
URANIE::DataServer::TDataServer *  tds,
TString  ystar,
URANIE::Launcher::TOutputFile *  outfile,
TString  yhat,
Double_t  weight = 1.0 
)

Add the objective in the TOptimizer object : Sum of square of the error.

The objective is computed with formula

\[ obj = \alpha \sum_{i=1}^{n}{(y^{\star}_{i} - \hat{y}_{i})^{2}} \]

Parameters
name(TString) the name of the TObjective
tds(TDataServer *) The pointer of the TDataServer object which contains the attribute $ y^{\star}$
ystar(TString) the name of the $ y^{\star}$ attribute
outfile(TOutputFile *) The pointer of the TOutputFile object which contains the attribute $ \hat{y}$
yhat(TString) the name of the $ \hat{y}$ attribute
weight(Double_t) The weight of the objective [1.0]

Referenced by ClassImp().

◆ addOutputVariable()

void URANIE::Optimizer::TOptimizer::addOutputVariable ( TString  soutput)

Add input and output variables.

Add output attributes defined from other attributes

Parameters
soutput(TString): list of output variable to be created

Referenced by ClassImp().

◆ changeLog()

void URANIE::Optimizer::TOptimizer::changeLog ( )
inline

References _blog.

◆ clean()

virtual void URANIE::Optimizer::TOptimizer::clean ( Option_t *  option = "")
virtual

Cleans the working directory of the code.

Referenced by ClassImp().

◆ fixParameter()

void URANIE::Optimizer::TOptimizer::fixParameter ( TString  name)

Fix the parameter given by these name to the default value.

Referenced by ClassImp().

◆ getLog()

Bool_t URANIE::Optimizer::TOptimizer::getLog ( )
inline

References _blog.

◆ getMaxFunctionCalls()

Int_t URANIE::Optimizer::TOptimizer::getMaxFunctionCalls ( )
inline

Get the maximum numbers of evaluations.

References _nMaxFunctionCalls.

◆ getMaxIterations()

Int_t URANIE::Optimizer::TOptimizer::getMaxIterations ( )
inline

Get the maximum number of iterations.

References _nMaxIterations.

◆ getMethod()

EOptimMethod URANIE::Optimizer::TOptimizer::getMethod ( )
inline

Return the algorithm of optimization.

References _optimMethod.

◆ getObjectives()

vector< URANIE::Optimizer::TObjective * > URANIE::Optimizer::TOptimizer::getObjectives ( )
inline

get the vector containing the objectives

References _objectives.

◆ getOptimType()

EOptimType URANIE::Optimizer::TOptimizer::getOptimType ( )
inline

Return the type of optimization.

References _optimProblem.

◆ getPrintLevel()

int URANIE::Optimizer::TOptimizer::getPrintLevel ( ) const
inline

Get the print Level of Debug between $ [1, 5]$.

References _nPrintLevel.

◆ getSelectedCost()

TString URANIE::Optimizer::TOptimizer::getSelectedCost ( )
inline

Get the selected Select an cost in the Output string.

References _sCost.

◆ getTolerance()

Double_t URANIE::Optimizer::TOptimizer::getTolerance ( )
inline

Get the tolerance parameter.

References _dTolerance.

◆ init()

virtual void URANIE::Optimizer::TOptimizer::init ( Option_t *  option = "")
virtual

Init phase of the code.

Referenced by ClassImp().

◆ invertObjectives()

void URANIE::Optimizer::TOptimizer::invertObjectives ( )

Invert the state of all the objectives.

Referenced by ClassImp().

◆ invertParameters()

void URANIE::Optimizer::TOptimizer::invertParameters ( )

Invert the state of all the parameters.

Then, fixed parameters became "variable" attribute and vice versa.

Referenced by ClassImp().

◆ optimize()

virtual void URANIE::Optimizer::TOptimizer::optimize ( Option_t *  option = "")
virtual

Runs phase of the code (TMinuit2)

Referenced by ClassImp().

◆ printLog()

virtual void URANIE::Optimizer::TOptimizer::printLog ( Option_t *  option = "")
virtual

Referenced by ClassImp().

◆ printState()

void URANIE::Optimizer::TOptimizer::printState ( Option_t *  option = "")

Print the state of the algorithm of optimization.

Referenced by ClassImp().

◆ selectCost()

void URANIE::Optimizer::TOptimizer::selectCost ( TString  scost)

Select an cost in the Output string.

Referenced by ClassImp().

◆ setLog()

void URANIE::Optimizer::TOptimizer::setLog ( )
inline

References _blog.

◆ setMaxFunctionCalls()

void URANIE::Optimizer::TOptimizer::setMaxFunctionCalls ( Int_t  nmax)
inline

Set the maximum number of evaluations.

References _nMaxFunctionCalls.

◆ setMaxIterations()

void URANIE::Optimizer::TOptimizer::setMaxIterations ( Int_t  nmax)
inline

Set the maximum number of iterations.

References _nMaxIterations.

◆ setMethod()

void URANIE::Optimizer::TOptimizer::setMethod ( EOptimMethod  method = kMigrad)
inline

Select the algorithm of optimization.

References _optimMethod.

◆ setPrintLevel()

void URANIE::Optimizer::TOptimizer::setPrintLevel ( int  level)
inline

Set the print Level of Debug between $ [1, 5]$.

References _nPrintLevel.

◆ setTolerance()

void URANIE::Optimizer::TOptimizer::setTolerance ( Double_t  dtol)
inline

Set the tolerance parameter.

References _dTolerance.

◆ terminate()

virtual void URANIE::Optimizer::TOptimizer::terminate ( Option_t *  option = "")
virtual

Terminates phase of the code.

Referenced by ClassImp().

◆ unactiveObjective()

void URANIE::Optimizer::TOptimizer::unactiveObjective ( TString  name)

Unactive the objective given by these name.

Referenced by ClassImp().

◆ unfixParameter()

void URANIE::Optimizer::TOptimizer::unfixParameter ( TString  name)

Unfix the parameter given by these name.

These parameter became a "variable" attribute

Referenced by ClassImp().

◆ unsetLog()

void URANIE::Optimizer::TOptimizer::unsetLog ( )
inline

References _blog.

Member Data Documentation

◆ _bclean

Bool_t URANIE::Optimizer::TOptimizer::_bclean
private

Cleans the Working Directory before running the code.

Referenced by ClassImp().

◆ _blog

Bool_t URANIE::Optimizer::TOptimizer::_blog
private

Boolean to edit the log.

Referenced by changeLog(), ClassImp(), getLog(), setLog(), and unsetLog().

◆ _bsave

Bool_t URANIE::Optimizer::TOptimizer::_bsave
private

Saves all the computation files in each directory.

Referenced by ClassImp().

◆ _code

URANIE::Launcher::TCode* URANIE::Optimizer::TOptimizer::_code
private

Pointer vers un TDS.

Referenced by ClassImp().

◆ _dTolerance

Double_t URANIE::Optimizer::TOptimizer::_dTolerance
private

The tolerance parameter.

Referenced by ClassImp(), getTolerance(), and setTolerance().

◆ _fMethod

void(* URANIE::Optimizer::TOptimizer::_fMethod) (Double_t *, Double_t *)
private

Referenced by ClassImp().

◆ _fMethodCall

TMethodCall* URANIE::Optimizer::TOptimizer::_fMethodCall
private

Pointer to MethodCall in case of interpreted function.

◆ _nMaxFunctionCalls

Int_t URANIE::Optimizer::TOptimizer::_nMaxFunctionCalls
private

The max number to call the code/function.

Referenced by ClassImp(), getMaxFunctionCalls(), and setMaxFunctionCalls().

◆ _nMaxIterations

Int_t URANIE::Optimizer::TOptimizer::_nMaxIterations
private

Pointer vers un TCode.

The max number of iterations

Referenced by ClassImp(), getMaxIterations(), and setMaxIterations().

◆ _nPrintLevel

Int_t URANIE::Optimizer::TOptimizer::_nPrintLevel
private

The level of Debg between $ [1, 5]$ without test.

Referenced by ClassImp(), getPrintLevel(), and setPrintLevel().

◆ _objectives

vector<TObjective *> URANIE::Optimizer::TOptimizer::_objectives
private

vector of objectives

Referenced by ClassImp(), and getObjectives().

◆ _optimMethod

EOptimMethod URANIE::Optimizer::TOptimizer::_optimMethod
private

The method of optimisation.

Referenced by ClassImp(), getMethod(), and setMethod().

◆ _optimProblem

EOptimType URANIE::Optimizer::TOptimizer::_optimProblem
private

Function name.

The problem of optimisation

Referenced by ClassImp(), and getOptimType().

◆ _sCost

TString URANIE::Optimizer::TOptimizer::_sCost
private

The name od the selected cost (the number must be equal to 1)

Referenced by ClassImp(), and getSelectedCost().

◆ _sdirectory

TString URANIE::Optimizer::TOptimizer::_sdirectory
private

Current directory.

Referenced by ClassImp().

◆ _sFunctionName

TString URANIE::Optimizer::TOptimizer::_sFunctionName
private

A pointer for the analytical function.

Referenced by ClassImp().

◆ _sInput

TString URANIE::Optimizer::TOptimizer::_sInput
private

The string of input attributes.

Referenced by ClassImp().

◆ _sOutput

TString URANIE::Optimizer::TOptimizer::_sOutput
private

The string of output attributes (the number must be equal to 1)

Referenced by ClassImp().

◆ _tds

URANIE::DataServer::TDataServer* URANIE::Optimizer::TOptimizer::_tds
private

Referenced by ClassImp().