Definition at line 21 of file TFumili.h.

Public Member Functions
	TFumili (Int_t maxpar=25)

virtual	~TFumili ()
	TFumili destructor. More...

void	BuildArrays ()
	Allocates memory for internal arrays. More...

virtual Double_t	Chisquare (Int_t npar, Double_t *params) const
	return a chisquare equivalent More...

virtual void	Clear (Option_t *opt="")
	Resets all parameter names, values and errors to zero. More...

void	DeleteArrays ()
	Deallocates memory. More...

void	Derivatives (Double_t , Double_t )
	Calculates partial derivatives of theoretical function. More...

Int_t	Eval (Int_t &npar, Double_t grad, Double_t &fval, Double_t par, Int_t flag)
	Evaluate the minimisation function Input parameters: npar: number of currently variable parameters par: array of (constant and variable) parameters flag: Indicates what is to be calculated grad: array of gradients Output parameters: fval: The calculated function value. More...

Double_t	EvalTFN (Double_t , Double_t )
	Evaluate theoretical function df: array of partial derivatives X: vector of theoretical function argument. More...

virtual Int_t	ExecuteCommand (const char command, Double_t args, Int_t nargs)
	Execute MINUIT commands. More...

Int_t	ExecuteSetCommand (Int_t)
	Called from TFumili::ExecuteCommand in case of "SET xxx" and "SHOW xxx". More...

virtual void	FitChisquare (Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)
	Minimization function for H1s using a Chisquare method Default method (function evaluated at center of bin) for each point the cache contains the following info -1D : bc,e,xc (bin content, error, x of center of bin) -2D : bc,e,xc,yc -3D : bc,e,xc,yc,zc. More...

virtual void	FitChisquareI (Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)
	Minimization function for H1s using a Chisquare method The "I"ntegral method is used for each point the cache contains the following info -1D : bc,e,xc,xw (bin content, error, x of center of bin, x bin width of bin) -2D : bc,e,xc,xw,yc,yw -3D : bc,e,xc,xw,yc,yw,zc,zw. More...

virtual void	FitLikelihood (Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)
	Minimization function for H1s using a Likelihood method----- Basically, it forms the likelihood by determining the Poisson probability that given a number of entries in a particular bin, the fit would predict it's value. More...

virtual void	FitLikelihoodI (Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)
	Minimization function for H1s using a Likelihood method----- Basically, it forms the likelihood by determining the Poisson probability that given a number of entries in a particular bin, the fit would predict it's value. More...

virtual void	FixParameter (Int_t ipar)
	Fixes parameter number ipar. More...

virtual Double_t *	GetCovarianceMatrix () const
	return a pointer to the covariance matrix More...

virtual Double_t	GetCovarianceMatrixElement (Int_t i, Int_t j) const
	return element i,j from the covariance matrix More...

virtual Int_t	GetErrors (Int_t ipar, Double_t &eplus, Double_t &eminus, Double_t &eparab, Double_t &globcc) const
	Return errors after MINOs not implemented. More...

virtual Int_t	GetNumberTotalParameters () const
	return the total number of parameters (free + fixed) More...

virtual Int_t	GetNumberFreeParameters () const
	return the number of free parameters More...

Double_t *	GetPL0 () const

virtual Double_t	GetParError (Int_t ipar) const
	return error of parameter ipar More...

virtual Double_t	GetParameter (Int_t ipar) const
	return current value of parameter ipar More...

virtual Int_t	GetParameter (Int_t ipar, char *name, Double_t &value, Double_t &verr, Double_t &vlow, Double_t &vhigh) const
	Get various ipar parameter attributs: More...

virtual const char *	GetParName (Int_t ipar) const
	return name of parameter ipar More...

virtual Int_t	GetStats (Double_t &amin, Double_t &edm, Double_t &errdef, Int_t &nvpar, Int_t &nparx) const
	return global fit parameters amin : chisquare edm : estimated distance to minimum errdef nvpar : number of variable parameters nparx : total number of parameters More...

virtual Double_t	GetSumLog (Int_t)
	return Sum(log(i) i=0,n used by log likelihood fits More...

Double_t *	GetZ () const

void	InvertZ (Int_t)
	Inverts packed diagonal matrix Z by square-root method. More...

virtual Bool_t	IsFixed (Int_t ipar) const
	return kTRUE if parameter ipar is fixed, kFALSE othersise) More...

Int_t	Minimize ()

virtual void	PrintResults (Int_t k, Double_t p) const
	Prints fit results. More...

virtual void	ReleaseParameter (Int_t ipar)
	Releases parameter number ipar. More...

Int_t	SGZ ()
	Evaluates objective function ( chi-square ), gradients and Z-matrix using data provided by user via TFumili::SetData. More...

void	SetData (Double_t *, Int_t, Int_t)
	Sets pointer to data array provided by user. More...

virtual void	SetFitMethod (const char *name)
	ret fit method (chisquare or loglikelihood) More...

virtual Int_t	SetParameter (Int_t ipar, const char *parname, Double_t value, Double_t verr, Double_t vlow, Double_t vhigh)
	Sets for prameter number ipar initial parameter value, name parname, initial error verr and limits vlow and vhigh If vlow = vhigh but not equil to zero, parameter will be fixed. More...

void	SetParNumber (Int_t ParNum)

Public Member Functions inherited from TVirtualFitter
	TVirtualFitter ()

virtual	~TVirtualFitter ()
	Cleanup virtual fitter. More...

virtual void	GetConfidenceIntervals (Int_t n, Int_t ndim, const Double_t x, Double_t ci, Double_t cl=0.95)
	return confidence intervals in array x of dimension ndim implemented in TFitter and TLinearFitter More...

virtual void	GetConfidenceIntervals (TObject *obj, Double_t cl=0.95)
	return confidence intervals in TObject obj implemented in TFitter and TLinearFitter More...

virtual FCNFunc_t	GetFCN ()

virtual Foption_t	GetFitOption () const

TMethodCall *	GetMethodCall () const

virtual TObject *	GetObjectFit () const

virtual TObject *	GetUserFunc () const

virtual Int_t	GetXfirst () const

virtual Int_t	GetXlast () const

virtual Int_t	GetYfirst () const

virtual Int_t	GetYlast () const

virtual Int_t	GetZfirst () const

virtual Int_t	GetZlast () const

virtual Double_t *	SetCache (Int_t npoints, Int_t psize)
	Initialize the cache array npoints is the number of points to be stored (or already stored) in the cache psize is the number of elements per point. More...

virtual void	SetFCN (void *fcn)
	To set the address of the minimization objective function. More...

virtual void	SetFCN (void(fcn)(Int_t &, Double_t , Double_t &f, Double_t *, Int_t))
	To set the address of the minimization objective function called by the native compiler (see function below when called by CINT) More...

virtual void	SetFitOption (Foption_t option)

virtual void	SetObjectFit (TObject *obj)

virtual void	SetUserFunc (TObject *userfunc)

virtual void	SetXfirst (Int_t first)

virtual void	SetXlast (Int_t last)

virtual void	SetYfirst (Int_t first)

virtual void	SetYlast (Int_t last)

virtual void	SetZfirst (Int_t first)

virtual void	SetZlast (Int_t last)

Public Member Functions inherited from TNamed
	TNamed ()

	TNamed (const char name, const char title)

	TNamed (const TString &name, const TString &title)

	TNamed (const TNamed &named)

TNamed &	operator= (const TNamed &rhs)
	TNamed assignment operator. More...

virtual	~TNamed ()

virtual TObject *	Clone (const char *newname="") const
	Make a clone of an object using the Streamer facility. More...

virtual Int_t	Compare (const TObject *obj) const
	Compare two TNamed objects. More...

virtual void	Copy (TObject &named) const
	Copy this to obj. More...

virtual void	FillBuffer (char *&buffer)
	Encode TNamed into output buffer. More...

virtual const char *	GetName () const
	Returns name of object. More...

virtual const char *	GetTitle () const
	Returns title of object. More...

virtual ULong_t	Hash () const
	Return hash value for this object. More...

virtual Bool_t	IsSortable () const

virtual void	SetName (const char *name)
	Change (i.e. More...

virtual void	SetNameTitle (const char name, const char title)
	Change (i.e. set) all the TNamed parameters (name and title). More...

virtual void	SetTitle (const char *title="")
	Change (i.e. set) the title of the TNamed. More...

virtual void	ls (Option_t *option="") const
	List TNamed name and title. More...

virtual void	Print (Option_t *option="") const
	Print TNamed name and title. More...

virtual Int_t	Sizeof () const
	Return size of the TNamed part of the TObject. More...

Public Member Functions inherited from TObject
	TObject ()

	TObject (const TObject &object)
	TObject copy ctor. More...

TObject &	operator= (const TObject &rhs)
	TObject assignment operator. More...

virtual	~TObject ()
	TObject destructor. More...

virtual void	AppendPad (Option_t *option="")
	Append graphics object to current pad. More...

virtual void	Browse (TBrowser *b)
	Browse object. May be overridden for another default action. More...

virtual const char *	ClassName () const
	Returns name of class to which the object belongs. More...

virtual void	Delete (Option_t *option="")
	Delete this object. More...

virtual Int_t	DistancetoPrimitive (Int_t px, Int_t py)
	Computes distance from point (px,py) to the object. More...

virtual void	Draw (Option_t *option="")
	Default Draw method for all objects. More...

virtual void	DrawClass () const
	Draw class inheritance tree of the class to which this object belongs. More...

virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current pad. More...

virtual void	Dump () const
	Dump contents of object on stdout. More...

virtual void	Execute (const char method, const char params, Int_t *error=0)
	Execute method on this object with the given parameter string, e.g. More...

virtual void	Execute (TMethod method, TObjArray params, Int_t *error=0)
	Execute method on this object with parameters stored in the TObjArray. More...

virtual void	ExecuteEvent (Int_t event, Int_t px, Int_t py)
	Execute action corresponding to an event at (px,py). More...

virtual TObject *	FindObject (const char *name) const
	Must be redefined in derived classes. More...

virtual TObject *	FindObject (const TObject *obj) const
	Must be redefined in derived classes. More...

virtual Option_t *	GetDrawOption () const
	Get option used by the graphics system to draw this object. More...

virtual UInt_t	GetUniqueID () const
	Return the unique object id. More...

virtual const char *	GetIconName () const
	Returns mime type name of object. More...

virtual Option_t *	GetOption () const

virtual char *	GetObjectInfo (Int_t px, Int_t py) const
	Returns string containing info about the object at position (px,py). More...

virtual Bool_t	HandleTimer (TTimer *timer)
	Execute action in response of a timer timing out. More...

virtual Bool_t	InheritsFrom (const char *classname) const
	Returns kTRUE if object inherits from class "classname". More...

virtual Bool_t	InheritsFrom (const TClass *cl) const
	Returns kTRUE if object inherits from TClass cl. More...

virtual void	Inspect () const
	Dump contents of this object in a graphics canvas. More...

virtual Bool_t	IsFolder () const
	Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...

virtual Bool_t	IsEqual (const TObject *obj) const
	Default equal comparison (objects are equal if they have the same address in memory). More...

Bool_t	IsOnHeap () const

Bool_t	IsZombie () const

virtual Bool_t	Notify ()
	This method must be overridden to handle object notification. More...

virtual void	Paint (Option_t *option="")
	This method must be overridden if a class wants to paint itself. More...

virtual void	Pop ()
	Pop on object drawn in a pad to the top of the display list. More...

virtual Int_t	Read (const char *name)
	Read contents of object with specified name from the current directory. More...

virtual void	RecursiveRemove (TObject *obj)
	Recursively remove this object from a list. More...

virtual void	SaveAs (const char filename="", Option_t option="") const
	Save this object in the file specified by filename. More...

virtual void	SavePrimitive (std::ostream &out, Option_t *option="")
	Save a primitive as a C++ statement(s) on output stream "out". More...

virtual void	SetDrawOption (Option_t *option="")
	Set drawing option for object. More...

virtual void	SetUniqueID (UInt_t uid)
	Set the unique object id. More...

virtual void	UseCurrentStyle ()
	Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
	Write this object to the current directory. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
	Write this object to the current directory. More...

void *	operator new (size_t sz)

void *	operator new[] (size_t sz)

void *	operator new (size_t sz, void *vp)

void *	operator new[] (size_t sz, void *vp)

void	operator delete (void *ptr)
	Operator delete. More...

void	operator delete[] (void *ptr)
	Operator delete []. More...

void	SetBit (UInt_t f, Bool_t set)
	Set or unset the user status bits as specified in f. More...

void	SetBit (UInt_t f)

void	ResetBit (UInt_t f)

Bool_t	TestBit (UInt_t f) const

Int_t	TestBits (UInt_t f) const

void	InvertBit (UInt_t f)

virtual void	Info (const char method, const char msgfmt,...) const
	Issue info message. More...

virtual void	Warning (const char method, const char msgfmt,...) const
	Issue warning message. More...

virtual void	Error (const char method, const char msgfmt,...) const
	Issue error message. More...

virtual void	SysError (const char method, const char msgfmt,...) const
	Issue system error message. More...

virtual void	Fatal (const char method, const char msgfmt,...) const
	Issue fatal error message. More...

void	AbstractMethod (const char *method) const
	Use this method to implement an "abstract" method that you don't want to leave purely abstract. More...

void	MayNotUse (const char *method) const
	Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More...

void	Obsolete (const char method, const char asOfVers, const char *removedFromVers) const
	Use this method to declare a method obsolete. More...

Private Attributes
Int_t	fMaxParam

Int_t	fNlog

Int_t	fNfcn

Int_t	fNED1

Int_t	fNED2

Int_t	fNED12

Int_t	fNpar

Int_t	fNstepDec

Int_t	fNlimMul

Int_t	fNmaxIter

Int_t	fLastFixed

Int_t	fENDFLG

Int_t	fINDFLG [5]

Bool_t	fGRAD

Bool_t	fWARN

Bool_t	fDEBUG

Bool_t	fLogLike

Bool_t	fNumericDerivatives

Double_t *	fZ0

Double_t *	fZ

Double_t *	fGr

Double_t *	fParamError

Double_t *	fSumLog

Double_t *	fEXDA

Double_t *	fA

Double_t *	fPL0

Double_t *	fPL

Double_t *	fDA

Double_t *	fAMX

Double_t *	fAMN

Double_t *	fR

Double_t *	fDF

Double_t *	fCmPar

Double_t	fS

Double_t	fEPS

Double_t	fRP

Double_t	fAKAPPA

Double_t	fGT

TString *	fANames

TString	fCword

Additional Inherited Members
Public Types inherited from TVirtualFitter
typedef void(*	FCNFunc_t) (Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)

Public Types inherited from TObject
enum	EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) }

enum	{ kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff }

enum	{ kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) }

Static Public Member Functions inherited from TVirtualFitter
static TVirtualFitter *	GetFitter ()
	static: return the current Fitter More...

static TVirtualFitter *	Fitter (TObject *obj, Int_t maxpar=25)
	Static function returning a pointer to the current fitter. More...

static const char *	GetDefaultFitter ()
	static: return the name of the default fitter More...

static Int_t	GetMaxIterations ()
	static: Return the maximum number of iterations actually max number of function calls More...

static Double_t	GetErrorDef ()
	static: Return the Error Definition More...

static Double_t	GetPrecision ()
	static: Return the fit relative precision More...

static void	SetDefaultFitter (const char *name="")
	static: set name of default fitter More...

static void	SetFitter (TVirtualFitter *fitter, Int_t maxpar=25)
	Static function to set an alternative fitter. More...

static void	SetMaxIterations (Int_t niter=5000)
	static: Set the maximum number of function calls for the minimization algorithm For example for MIGRAD this is the maxcalls value passed as first argument (see http://wwwasdoc.web.cern.ch/wwwasdoc/minuit/node18.html ) More...

static void	SetErrorDef (Double_t errdef=1)
	static: Set the Error Definition (default=1) For Minuit this is the value passed with the "SET ERR" command (see http://wwwasdoc.web.cern.ch/wwwasdoc/minuit/node18.html) More...

static void	SetPrecision (Double_t prec=1e-6)
	static: Set the tolerance used in the minimization algorithm For example for MIGRAD this is tolerance value passed as second argument (see http://wwwasdoc.web.cern.ch/wwwasdoc/minuit/node18.html ) More...

Static Public Member Functions inherited from TObject
static Long_t	GetDtorOnly ()
	Return destructor only flag. More...

static void	SetDtorOnly (void *obj)
	Set destructor only flag. More...

static Bool_t	GetObjectStat ()
	Get status of object stat flag. More...

static void	SetObjectStat (Bool_t stat)
	Turn on/off tracking of objects in the TObjectTable. More...

Protected Member Functions inherited from TVirtualFitter
	TVirtualFitter (const TVirtualFitter &tvf)
	copy constructor More...

TVirtualFitter &	operator= (const TVirtualFitter &tvf)
	assignment operator More...

Protected Member Functions inherited from TObject
void	MakeZombie ()

virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected). More...

Protected Attributes inherited from TVirtualFitter
Foption_t	fOption

Int_t	fXfirst

Int_t	fXlast

Int_t	fYfirst

Int_t	fYlast

Int_t	fZfirst

Int_t	fZlast

Int_t	fNpoints

Int_t	fPointSize

Int_t	fCacheSize

Double_t *	fCache

TObject *	fObjectFit

TObject *	fUserFunc

TMethodCall *	fMethodCall

void(*	fFCN )(Int_t &npar, Double_t gin, Double_t &f, Double_t u, Int_t flag)

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

#include <TFumili.h>

Inheritance diagram for TFumili:

Collaboration diagram for TFumili:

Constructor & Destructor Documentation

TFumili::TFumili ( Int_t maxpar = 25 )

Definition at line 129 of file TFumili.cxx.

TFumili::~TFumili ( )

virtual

TFumili destructor.

Definition at line 212 of file TFumili.cxx.

Member Function Documentation

void TFumili::BuildArrays ( )

Allocates memory for internal arrays.

Called by TFumili::TFumili

Definition at line 174 of file TFumili.cxx.

Referenced by TFumili().

Double_t TFumili::Chisquare	(	Int_t	npar,
		Double_t *	params
	)		const

virtual

return a chisquare equivalent

Implements TVirtualFitter.

Definition at line 222 of file TFumili.cxx.

void TFumili::Clear ( Option_t * opt = "" )

virtual

Resets all parameter names, values and errors to zero.

Argument opt is ignored

NB: this procedure doesn't reset parameter limits

Implements TVirtualFitter.

Definition at line 239 of file TFumili.cxx.

Referenced by ExecuteCommand().

void TFumili::DeleteArrays ( )

Deallocates memory.

Called from destructor TFumili::~TFumili

Definition at line 261 of file TFumili.cxx.

Referenced by ~TFumili().

void TFumili::Derivatives	(	Double_t *	df,
		Double_t *	fX
	)

Calculates partial derivatives of theoretical function.

Input: fX - vector of data point Output: DF - array of derivatives

ARITHM.F Converted from CERNLIB

Definition at line 293 of file TFumili.cxx.

Referenced by FitChisquare(), FitChisquareI(), FitLikelihood(), FitLikelihoodI(), GraphFitChisquareFumili(), and SGZ().

Int_t TFumili::Eval	(	Int_t &	npar,
		Double_t *	grad,
		Double_t &	fval,
		Double_t *	par,
		Int_t	flag
	)

Evaluate the minimisation function Input parameters: npar: number of currently variable parameters par: array of (constant and variable) parameters flag: Indicates what is to be calculated grad: array of gradients Output parameters: fval: The calculated function value.

grad: The vector of first derivatives.

The meaning of the parameters par is of course defined by the user, who uses the values of those parameters to calculate their function value. The starting values must be specified by the user. !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Inside FCN user has to define Z-matrix by means TFumili::GetZ and TFumili::Derivatives, set theoretical function by means of TFumili::SetUserFunc, but first - pass number of parameters by TFumili::SetParNumber !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Later values are determined by Fumili as it searches for the minimum or performs whatever analysis is requested by the user.

The default function calls the function specified in SetFCN

Definition at line 352 of file TFumili.cxx.

Referenced by ExecuteCommand(), and Minimize().

Double_t TFumili::EvalTFN	(	Double_t *	,
		Double_t *	X
	)

Evaluate theoretical function df: array of partial derivatives X: vector of theoretical function argument.

Definition at line 364 of file TFumili.cxx.

Referenced by Derivatives(), and SGZ().

Int_t TFumili::ExecuteCommand	(	const char *	command,
		Double_t *	args,
		Int_t	nargs
	)

virtual

Execute MINUIT commands.

MINImize, SIMplex, MIGrad and FUMili all will call TFumili::Minimize method.

For full command list see MINUIT. Reference Manual. CERN Program Library Long Writeup D506.

Improvement and errors calculation are not yet implemented as well as Monte-Carlo seeking and minimization. Contour commands are also unsupported.

command : command string args : array of arguments nargs : number of arguments

Implements TVirtualFitter.

Definition at line 394 of file TFumili.cxx.

Referenced by TFumiliMinimizer::Minimize().

Int_t TFumili::ExecuteSetCommand ( Int_t nargs )

Called from TFumili::ExecuteCommand in case of "SET xxx" and "SHOW xxx".

Definition at line 565 of file TFumili.cxx.

Referenced by ExecuteCommand().

void TFumili::FitChisquare	(	Int_t &	npar,
		Double_t *	gin,
		Double_t &	f,
		Double_t *	u,
		Int_t	flag
	)

virtual

Minimization function for H1s using a Chisquare method Default method (function evaluated at center of bin) for each point the cache contains the following info -1D : bc,e,xc (bin content, error, x of center of bin) -2D : bc,e,xc,yc -3D : bc,e,xc,yc,zc.

Definition at line 1770 of file TFumili.cxx.

Referenced by H1FitChisquareFumili().

void TFumili::FitChisquareI	(	Int_t &	npar,
		Double_t *	gin,
		Double_t &	f,
		Double_t *	u,
		Int_t	flag
	)

virtual

Minimization function for H1s using a Chisquare method The "I"ntegral method is used for each point the cache contains the following info -1D : bc,e,xc,xw (bin content, error, x of center of bin, x bin width of bin) -2D : bc,e,xc,xw,yc,yw -3D : bc,e,xc,xw,yc,yw,zc,zw.

Definition at line 1842 of file TFumili.cxx.

Referenced by FitChisquare().

void TFumili::FitLikelihood	(	Int_t &	npar,
		Double_t *	gin,
		Double_t &	f,
		Double_t *	u,
		Int_t	flag
	)

virtual

Minimization function for H1s using a Likelihood method*-*-*-*-*-* Basically, it forms the likelihood by determining the Poisson probability that given a number of entries in a particular bin, the fit would predict it's value.

This is then done for each bin, and the sum of the logs is taken as the likelihood. Default method (function evaluated at center of bin) for each point the cache contains the following info -1D : bc,e,xc (bin content, error, x of center of bin) -2D : bc,e,xc,yc -3D : bc,e,xc,yc,zc

Definition at line 1917 of file TFumili.cxx.

Referenced by H1FitLikelihoodFumili().

void TFumili::FitLikelihoodI	(	Int_t &	npar,
		Double_t *	gin,
		Double_t &	f,
		Double_t *	u,
		Int_t	flag
	)

virtual

Minimization function for H1s using a Likelihood method*-*-*-*-*-* Basically, it forms the likelihood by determining the Poisson probability that given a number of entries in a particular bin, the fit would predict it's value.

This is then done for each bin, and the sum of the logs is taken as the likelihood. The "I"ntegral method is used for each point the cache contains the following info -1D : bc,e,xc,xw (bin content, error, x of center of bin, x bin width of bin) -2D : bc,e,xc,xw,yc,yw -3D : bc,e,xc,xw,yc,yw,zc,zw

Definition at line 2005 of file TFumili.cxx.

Referenced by FitLikelihood().

void TFumili::FixParameter ( Int_t ipar )

virtual

Fixes parameter number ipar.

Implements TVirtualFitter.

Definition at line 781 of file TFumili.cxx.

Referenced by ExecuteCommand(), TFumiliMinimizer::SetFixedVariable(), and SetParameter().

Double_t * TFumili::GetCovarianceMatrix ( ) const

virtual

return a pointer to the covariance matrix

Implements TVirtualFitter.

Definition at line 791 of file TFumili.cxx.

Referenced by TFumiliMinimizer::Minimize().

Double_t TFumili::GetCovarianceMatrixElement	(	Int_t	i,
		Int_t	j
	)		const

virtual

return element i,j from the covariance matrix

Implements TVirtualFitter.

Definition at line 800 of file TFumili.cxx.

Int_t TFumili::GetErrors	(	Int_t	ipar,
		Double_t &	eplus,
		Double_t &	eminus,
		Double_t &	eparab,
		Double_t &	globcc
	)		const

virtual

Return errors after MINOs not implemented.

Implements TVirtualFitter.

Definition at line 890 of file TFumili.cxx.

Int_t TFumili::GetNumberFreeParameters ( ) const

virtual

return the number of free parameters

Implements TVirtualFitter.

Definition at line 822 of file TFumili.cxx.

Referenced by TFumiliMinimizer::Minimize().

Int_t TFumili::GetNumberTotalParameters ( ) const

virtual

return the total number of parameters (free + fixed)

Implements TVirtualFitter.

Definition at line 814 of file TFumili.cxx.

Double_t TFumili::GetParameter ( Int_t ipar ) const

virtual

return current value of parameter ipar

Implements TVirtualFitter.

Definition at line 843 of file TFumili.cxx.

Referenced by TFumiliMinimizer::Minimize(), and TFumiliMinimizer::SetVariableValue().

Int_t TFumili::GetParameter	(	Int_t	ipar,
		char *	cname,
		Double_t &	value,
		Double_t &	verr,
		Double_t &	vlow,
		Double_t &	vhigh
	)		const

virtual

Get various ipar parameter attributs:

cname: parameter name value: parameter value verr: parameter error vlow: lower limit vhigh: upper limit WARNING! parname must be suitably dimensionned in the calling function.

Implements TVirtualFitter.

Definition at line 860 of file TFumili.cxx.

Double_t TFumili::GetParError ( Int_t ipar ) const

virtual

return error of parameter ipar

Implements TVirtualFitter.

Definition at line 834 of file TFumili.cxx.

Referenced by TFumiliMinimizer::Minimize().

const char * TFumili::GetParName ( Int_t ipar ) const

virtual

return name of parameter ipar

Implements TVirtualFitter.

Definition at line 880 of file TFumili.cxx.

Referenced by TFumiliMinimizer::SetVariableValue().

Double_t* TFumili::GetPL0 ( ) const

inline

Definition at line 105 of file TFumili.h.

Referenced by TFumiliMinimizer::EvaluateFCN(), FitChisquare(), FitChisquareI(), FitLikelihood(), FitLikelihoodI(), and GraphFitChisquareFumili().

Int_t TFumili::GetStats	(	Double_t &	amin,
		Double_t &	edm,
		Double_t &	errdef,
		Int_t &	nvpar,
		Int_t &	nparx
	)		const

virtual

return global fit parameters amin : chisquare edm : estimated distance to minimum errdef nvpar : number of variable parameters nparx : total number of parameters

Implements TVirtualFitter.

Definition at line 912 of file TFumili.cxx.

Referenced by TFumiliMinimizer::Minimize().

Double_t TFumili::GetSumLog ( Int_t n )

virtual

return Sum(log(i) i=0,n used by log likelihood fits

Implements TVirtualFitter.

Definition at line 931 of file TFumili.cxx.

Referenced by FitLikelihood(), and FitLikelihoodI().

Double_t* TFumili::GetZ ( ) const

inline

Definition at line 112 of file TFumili.h.

Referenced by TFumiliMinimizer::EvaluateFCN(), FitChisquare(), FitChisquareI(), FitLikelihood(), FitLikelihoodI(), and GraphFitChisquareFumili().

void TFumili::InvertZ ( Int_t n )

Inverts packed diagonal matrix Z by square-root method.

Matrix elements corresponding to fix parameters are removed.

n: number of variable parameters

Definition at line 958 of file TFumili.cxx.

Referenced by Minimize().

Bool_t TFumili::IsFixed ( Int_t ipar ) const

virtual

return kTRUE if parameter ipar is fixed, kFALSE othersise)

Implements TVirtualFitter.

Definition at line 1076 of file TFumili.cxx.

Referenced by GetNumberFreeParameters(), and TFumiliMinimizer::Minimize().

Int_t TFumili::Minimize ( )

Definition at line 1089 of file TFumili.cxx.

Referenced by ExecuteCommand().

void TFumili::PrintResults	(	Int_t	ikode,
		Double_t	p
	)		const

virtual

Prints fit results.

ikode is the type of printing parameters p is function value

ikode = 1 - print values, errors and limits ikode = 2 - print values, errors and steps ikode = 3 - print values, errors, steps and derivatives ikode = 4 - print only values and errors

Implements TVirtualFitter.

Definition at line 1509 of file TFumili.cxx.

Referenced by TFumiliMinimizer::Minimize().

void TFumili::ReleaseParameter ( Int_t ipar )

virtual

Releases parameter number ipar.

Implements TVirtualFitter.

Definition at line 1613 of file TFumili.cxx.

Referenced by ExecuteCommand(), and SetParameter().

void TFumili::SetData	(	Double_t *	exdata,
		Int_t	numpoints,
		Int_t	vecsize
	)

Sets pointer to data array provided by user.

Necessary if SetFCN is not called.

numpoints: number of experimental points vecsize: size of data point vector + 2 (for N-dimensional fit vecsize=N+2) exdata: data array with following format

exdata[0] = ExpValue_0 - experimental data value number 0 exdata[1] = ExpSigma_0 - error of value number 0 exdata[2] = X_0[0] exdata[3] = X_0[1] ......... exdata[vecsize-1] = X_0[vecsize-3] exdata[vecsize] = ExpValue_1 exdata[vecsize+1] = ExpSigma_1 exdata[vecsize+2] = X_1[0] ......... exdata[vecsize*(numpoints-1)] = ExpValue_(numpoints-1) ......... exdata[vecsize*numpoints-1] = X_(numpoints-1)[vecsize-3]

Definition at line 1645 of file TFumili.cxx.

void TFumili::SetFitMethod ( const char * name )

virtual

ret fit method (chisquare or loglikelihood)

Implements TVirtualFitter.

Definition at line 1657 of file TFumili.cxx.

Int_t TFumili::SetParameter	(	Int_t	ipar,
		const char *	parname,
		Double_t	value,
		Double_t	verr,
		Double_t	vlow,
		Double_t	vhigh
	)

virtual

Sets for prameter number ipar initial parameter value, name parname, initial error verr and limits vlow and vhigh If vlow = vhigh but not equil to zero, parameter will be fixed.

If vlow = vhigh = 0, parameter is released and its limits are discarded

Implements TVirtualFitter.

Definition at line 1672 of file TFumili.cxx.

Referenced by TFumiliMinimizer::SetFixedVariable(), TFumiliMinimizer::SetLimitedVariable(), TFumiliMinimizer::SetVariable(), and TFumiliMinimizer::SetVariableValue().

void TFumili::SetParNumber ( Int_t ParNum )

inline

Definition at line 122 of file TFumili.h.

Referenced by FitChisquare(), FitChisquareI(), FitLikelihood(), FitLikelihoodI(), GraphFitChisquareFumili(), and TFumiliMinimizer::SetFunction().

Int_t TFumili::SGZ ( )

Evaluates objective function ( chi-square ), gradients and Z-matrix using data provided by user via TFumili::SetData.

Definition at line 1702 of file TFumili.cxx.

Referenced by Minimize().