JROOT::JRootfit< JFs_t > Class Template Reference

ROOT Fit. More...

#include <JRootfit.hh>

Inheritance diagram for JROOT::JRootfit< JFs_t >:

Public Types
typedef JRootfit_t< JFs_t >	result_type
typedef JFIT_LOCAL::JTypedef_t< JModel_t >::parameter_type	parameter_type
	Data type of fit parameter. More...
typedef JGandalf< JFs_t >::result_type	result_type

Public Member Functions
	JRootfit ()
	Default constructor. More...
template<class T >
const result_type &	operator() (const TH1 &h1, const JFs_t &f1, const T &type, const index_list &ls=index_list(), const range_type &X=range_type())
	Fit. More...
template<class T >
const result_type &	operator() (TH1 *h1, const JFs_t &f1, const T &type, const index_list &ls=index_list(), const range_type &X=range_type())
	Fit. More...
template<class T >
const result_type &	operator() (const TH2 &h2, const JFs_t &f2, const T &type, const index_list &ls=index_list(), const range_type &X=range_type(), const range_type &Y=range_type())
	Fit. More...
template<class T >
const result_type &	operator() (TH2 *h2, const JFs_t &f2, const T &type, const index_list &ls=index_list(), const range_type &X=range_type(), const range_type &Y=range_type())
	Fit. More...
template<class T >
const result_type &	operator() (const TH3 &h3, const JFs_t &f3, const T &type, const index_list &ls=index_list(), const range_type &X=range_type(), const range_type &Y=range_type(), const range_type &Z=range_type())
	Fit. More...
template<class T >
const result_type &	operator() (TH3 *h3, const JFs_t &f3, const T &type, const index_list &ls=index_list(), const range_type &X=range_type(), const range_type &Y=range_type(), const range_type &Z=range_type())
	Fit. More...
const JFs_t &	getFunction () const
	Get function. More...
size_t	getNumberOfParameters () const
	Get number of parameters. More...
size_t	getNumberOfFreeParameters () const
	Get number of free parameters. More...
size_t	getN () const
	Get number of data points. More...
double	getChi2 () const
	Get chi2. More...
int	getNDF () const
	Get number of degrees of freedom. More...
double	getValue (size_t i) const
	Get value of parameter at given index. More...
double	getError (size_t i) const
	Get error of parameter at given index. More...
template<class JFunction_t , class T , class ... Args>
result_type	operator() (const JFunction_t &fit, T __begin, T __end, Args ...args)
	Multi-dimensional fit of multiple data sets. More...

Public Attributes
std::vector< parameter_type >	parameters
	fit parameters More...
int	numberOfIterations
	number of iterations More...
double	lambda
	control parameter More...
JModel_t	value
	value More...
JModel_t	error
	error More...
JMATH::JMatrixNS	V
	Hesse matrix. More...

Static Public Attributes
static JRootfit	Fit
	Global fit object. More...
static int	MAXIMUM_ITERATIONS = 1000
	maximal number of iterations More...
static double	EPSILON = 1.0e-3
	maximal distance to minimum More...
static bool	EPSILON_ABSOLUTE = false
	set epsilon to absolute difference instead of relative More...
static double	LAMBDA_MIN = 0.01
	minimal value control parameter More...
static double	LAMBDA_MAX = 100.0
	maximal value control parameter More...
static double	LAMBDA_UP = 10.0
	multiplication factor control parameter More...
static double	LAMBDA_DOWN = 10.0
	multiplication factor control parameter More...
static double	PIVOT = std::numeric_limits<double>::epsilon()
	minimal value diagonal element of Hesse matrix More...
static int	debug = 0
	debug level (default is off). More...

Protected Attributes
size_t	npx
	number of data points More...
double	chi2
	chi2 More...

Private Member Functions
size_t	getNumberOfFreeParameters ()
size_t	getN ()
double	getChi2 ()
int	getNDF ()
template<class T >
const result_type &	eval (const JFs_t &fs, const index_list &ls, const data_type< T > &data)
	Evaluate fit. More...
void	reset ()
	Reset current parameters. More...
template<class JFunction_t , class T , class ... Args>
void	update (const JFunction_t &fit, T __begin, T __end, Args ...args)
	Recursive method to update current parameters. More...
template<class JFunction_t >
void	update (const JFunction_t &fit)
	Termination method to update current parameters. More...

Static Private Member Functions
static double	get (const JModel_t &model, double JModel_t::*parameter)
	Read/write access to parameter value by data member. More...
static double &	get (JModel_t &model, double JModel_t::*parameter)
	Read/write access to parameter value by data member. More...
static double	get (const JModel_t &model, const size_t index)
	Read/write access to parameter value by index. More...
static double &	get (JModel_t &model, const size_t index)
	Read/write access to parameter value by index. More...
static double	get (const JModel_t &model, const int index)
	Read/write access to parameter value by index. More...
static double &	get (JModel_t &model, const int index)
	Read/write access to parameter value by index. More...

Private Attributes
struct {
typedef JGandalf< JFs_t >::result_type   result_type
result_type   result
}	fit
	Auxiliary data structure for fit functions. More...
std::vector< double >	h
JMATH::JVectorND	x
struct {
result_type   result
}	current
struct {
JModel_t   value
result_type   result
}	previous

Detailed Description

template<class JFs_t>
class JROOT::JRootfit< JFs_t >

ROOT Fit.

Definition at line 938 of file JRootfit.hh.

Member Typedef Documentation

result_type [1/2]

template<class JFs_t >

typedef JRootfit_t<JFs_t> JROOT::JRootfit< JFs_t >::result_type

Definition at line 943 of file JRootfit.hh.

result_type [2/2]

template<class JFs_t >

typedef JGandalf<JFs_t>::result_type JROOT::JRootfit< JFs_t >::result_type

Definition at line 1161 of file JRootfit.hh.

parameter_type

template<class JModel_t >

typedef JFIT_LOCAL::JTypedef_t<JModel_t>::parameter_type JFIT::JGandalf< JModel_t >::parameter_type

inherited

Data type of fit parameter.

Definition at line 95 of file JGandalf.hh.

Constructor & Destructor Documentation

JRootfit()

template<class JFs_t >

JROOT::JRootfit< JFs_t >::JRootfit ( )

inline

Default constructor.

Definition at line 949 of file JRootfit.hh.

    {}

Member Function Documentation

operator()() [1/7]

template<class JFs_t >

template<class T >

const result_type& JROOT::JRootfit< JFs_t >::operator() ( const TH1 &  h1, const JFs_t &  f1, const T &  type, const index_list &  ls = index_list(), const range_type &  X = range_type()  )

inline

Fit.

Parameters

h1	histogram
f1	start value
type	type of data for histogram unpacking
ls	list of fixed parameters
X	fit range

Returns

result

Definition at line 964 of file JRootfit.hh.

    {
      return eval(f1, ls, data_type< m_1d<T> >(h1, X));
    }

operator()() [2/7]

template<class JFs_t >

template<class T >

const result_type& JROOT::JRootfit< JFs_t >::operator() ( TH1 *  h1, const JFs_t &  f1, const T &  type, const index_list &  ls = index_list(), const range_type &  X = range_type()  )

inline

Fit.

The fitted function is added to the input histogram.

Parameters

h1	pointer to histogram
f1	start value
type	type of data for histogram unpacking
ls	list of fixed parameters
X	fit range

Returns

result

Definition at line 987 of file JRootfit.hh.

    {
      (*this)(*h1, f1, type, ls, X);
 
      h1->GetListOfFunctions()->Add(new JF1("f1",
                                            this->value, 
                                            JTOOLS::join(X, getRange(h1->GetXaxis()))));
 
      return static_cast<const result_type&>(*this);
    }

operator()() [3/7]

template<class JFs_t >

template<class T >

const result_type& JROOT::JRootfit< JFs_t >::operator() ( const TH2 &  h2, const JFs_t &  f2, const T &  type, const index_list &  ls = index_list(), const range_type &  X = range_type(), const range_type &  Y = range_type()  )

inline

Fit.

Parameters

h2	histogram
f2	start value
type	type of data for histogram unpacking
ls	list of fixed parameters
X	fit range
Y	fit range

Returns

result

Definition at line 1015 of file JRootfit.hh.

    {
      return eval(f2, ls, data_type< m_2d<T> >(h2, X, Y));
    }

operator()() [4/7]

template<class JFs_t >

template<class T >

const result_type& JROOT::JRootfit< JFs_t >::operator() ( TH2 *  h2, const JFs_t &  f2, const T &  type, const index_list &  ls = index_list(), const range_type &  X = range_type(), const range_type &  Y = range_type()  )

inline

Fit.

The fitted function is added to the input histogram.

Parameters

h2	pointer to histogram
f2	start value
type	type of data for histogram unpacking
ls	list of fixed parameters
X	fit range
Y	fit range

Returns

result

Definition at line 1040 of file JRootfit.hh.

    {
      (*this)(*h2, f2, type, ls, X, Y);
 
      h2->GetListOfFunctions()->Add(new JF2("f2",
                                            this->value, 
                                            JTOOLS::join(X, getRange(h2->GetXaxis())),
                                            JTOOLS::join(Y, getRange(h2->GetYaxis()))));
 
      return static_cast<const result_type&>(*this);
    }

operator()() [5/7]

template<class JFs_t >

template<class T >

const result_type& JROOT::JRootfit< JFs_t >::operator() ( const TH3 &  h3, const JFs_t &  f3, const T &  type, const index_list &  ls = index_list(), const range_type &  X = range_type(), const range_type &  Y = range_type(), const range_type &  Z = range_type()  )

inline

Fit.

Parameters

h3	histogram
f3	start value
type	type of data for histogram unpacking
ls	list of fixed parameters
X	fit range
Y	fit range
Z	fit range

Returns

result

Definition at line 1071 of file JRootfit.hh.

    {
      return eval(f3, ls, data_type< m_3d<T> >(h3, X, Y, Z));
    }

operator()() [6/7]

template<class JFs_t >

template<class T >

const result_type& JROOT::JRootfit< JFs_t >::operator() ( TH3 *  h3, const JFs_t &  f3, const T &  type, const index_list &  ls = index_list(), const range_type &  X = range_type(), const range_type &  Y = range_type(), const range_type &  Z = range_type()  )

inline

Fit.

The fitted function is added to the input histogram.

Parameters

h3	pointer to histogram
f3	start value
type	type of data for histogram unpacking
ls	list of fixed parameters
X	fit range
Y	fit range
Z	fit range

Returns

result

Definition at line 1098 of file JRootfit.hh.

    {
      (*this)(*h3, f3, type, ls, X, Y, Z);
 
      h3->GetListOfFunctions()->Add(new JF3("f3",
                                            this->value, 
                                            JTOOLS::join(X, getRange(h3->GetXaxis())),
                                            JTOOLS::join(Y, getRange(h3->GetYaxis())),
                                            JTOOLS::join(Z, getRange(h3->GetZaxis()))));
 
      return static_cast<const result_type&>(*this);
    }

getNumberOfFreeParameters() [1/2]

template<class JFs_t >

size_t JROOT::JRootfit< JFs_t >::getNumberOfFreeParameters ( )

private

getN() [1/2]

template<class JFs_t >

size_t JROOT::JRootfit< JFs_t >::getN ( )

private

getChi2() [1/2]

template<class JFs_t >

double JROOT::JRootfit< JFs_t >::getChi2 ( )

private

getNDF() [1/2]

template<class JFs_t >

int JROOT::JRootfit< JFs_t >::getNDF ( )

private

eval()

template<class JFs_t >

template<class T >

const result_type& JROOT::JRootfit< JFs_t >::eval ( const JFs_t &  fs, const index_list &  ls, const data_type< T > &  data  )

inlineprivate

Evaluate fit.

Parameters

fs	start value
ls	list of fixed parameters
data	data

Returns

result

Definition at line 1136 of file JRootfit.hh.

    {
      this->parameters.clear();
 
      for (size_t i = 0; i != JFs_t::parameters.size(); ++i) {
        if (ls.count(i) == 0) {
          this->parameters.push_back(JFs_t::parameters[i]);
        }
      }
 
      this->value = fs;
      this->npx   = data.size();
      this->chi2  = static_cast<JGandalf<JFs_t>&>(*this)(this->fit, data.begin(), data.end()).chi2;
 
      return static_cast<const result_type&>(*this);
    }

getFunction()

template<class JFs_t >

const JFs_t& JROOT::JRootfit_t< JFs_t >::getFunction ( ) const

inlineinherited

Get function.

Returns

function.

Definition at line 850 of file JRootfit.hh.

    {
      return this->value;
    }

getNumberOfParameters()

template<class JFs_t >

size_t JROOT::JRootfit_t< JFs_t >::getNumberOfParameters ( ) const

inlineinherited

Get number of parameters.

Returns

number of parameters

Definition at line 861 of file JRootfit.hh.

    {
      return JFs_t::parameters.size();
    }

getNumberOfFreeParameters() [2/2]

template<class JFs_t >

size_t JROOT::JRootfit_t< JFs_t >::getNumberOfFreeParameters ( ) const

inlineinherited

Get number of free parameters.

Returns

number of free parameters

Definition at line 872 of file JRootfit.hh.

    {
      return this->parameters.size();
    }

getN() [2/2]

template<class JFs_t >

size_t JROOT::JRootfit_t< JFs_t >::getN ( ) const

inlineinherited

Get number of data points.

Returns

number of data points

Definition at line 883 of file JRootfit.hh.

    {
      return npx;
    }

getChi2() [2/2]

template<class JFs_t >

double JROOT::JRootfit_t< JFs_t >::getChi2 ( ) const

inlineinherited

Get chi2.

Returns

chi2

Definition at line 894 of file JRootfit.hh.

    {
      return chi2;
    }

getNDF() [2/2]

template<class JFs_t >

int JROOT::JRootfit_t< JFs_t >::getNDF ( ) const

inlineinherited

Get number of degrees of freedom.

Returns

number of degrees of freedom

Definition at line 905 of file JRootfit.hh.

    {
      return (int) getN() - (int) getNumberOfFreeParameters();
    }

getValue()

template<class JFs_t >

double JROOT::JRootfit_t< JFs_t >::getValue ( size_t  i ) const

inlineinherited

Get value of parameter at given index.

Parameters

i

index

Definition at line 916 of file JRootfit.hh.

    {
      return getParameter(this->value, i);
    }

getError()

template<class JFs_t >

double JROOT::JRootfit_t< JFs_t >::getError ( size_t  i ) const

inlineinherited

Get error of parameter at given index.

Parameters

i

index

Definition at line 927 of file JRootfit.hh.

    {
      return getParameter(this->error, i);
    }

operator()() [7/7]

template<class JModel_t >

template<class JFunction_t , class T , class ... Args>

result_type JFIT::JGandalf< JModel_t >::operator() ( const JFunction_t &  fit, T  __begin, T  __end, Args ...  args  )

inlineinherited

Multi-dimensional fit of multiple data sets.

The fit function should return the chi2 as well as the partial derivatives for the current value of the model and a given data point.

Parameters

fit	fit function
__begin	begin of data
__end	end of data
args	optional data

Returns

chi2 and gradient

Definition at line 160 of file JGandalf.hh.

    {
      using namespace std;
      using namespace JPP;
 
      // note that all model values should be assigned to the start value of the model before use
      // because the actual list of model parameters can vary from fit to fit
      // (e.g. if model consists of a container).
 
      const size_t N = parameters.size();
 
      V.resize(N);
      h.resize(N);
      x.resize(N);
 
      previous.result.chi2 = numeric_limits<double>::max();
 
      current.result.chi2     = numeric_limits<double>::max();
      current.result.gradient = value;
      current.result.gradient = zero;
 
      error     = value;
      error     = zero;
 
      lambda    = LAMBDA_MIN;
 
      for (numberOfIterations = 0; numberOfIterations != MAXIMUM_ITERATIONS; ++numberOfIterations) {
 
        DEBUG("step:     " << numberOfIterations << endl);
 
        reset();
 
        update(fit, __begin, __end, args...);
 
        DEBUG("lambda:   " << FIXED(12,5) << lambda              << endl);
        DEBUG("chi2:     " << FIXED(12,5) << current.result.chi2 << endl);
 
        if (current.result.chi2 < previous.result.chi2) {
 
          if (numberOfIterations != 0) {
 
            const double tolerance = EPSILON * (EPSILON_ABSOLUTE ? 1.0 : fabs(previous.result.chi2)); 
 
            if (fabs(previous.result.chi2 - current.result.chi2) <= tolerance) {
 
              // normal end
 
              const result_type result = current.result;
 
              reset();
 
              update(fit, __begin, __end, args...);
 
              try {
                V.invert();
              }
              catch (const exception& error) {}
 
              for (size_t i = 0; i != N; ++i) {
                get(error, parameters[i]) = sqrt(V(i,i));
              }
 
              return result;
            }
 
            if (lambda > LAMBDA_MIN) {
              lambda /= LAMBDA_DOWN;
            }
          }
 
          // store current values
 
          previous.value  = value;
          previous.result = current.result;
 
        } else {
 
          value   = previous.value;                                 // restore value
 
          lambda *= LAMBDA_UP;
          
          if (lambda > LAMBDA_MAX) {
            break;
          }
 
          reset();
 
          update(fit, __begin, __end, args...);
        }
 
        DEBUG("Hesse matrix:" << endl << V << endl);
 
        // force definite positiveness
 
        for (size_t i = 0; i != N; ++i) {
 
          if (V(i,i) < PIVOT) {
            V(i,i) = PIVOT;
          }
 
          h[i] = 1.0 / sqrt(V(i,i));
        }
 
        // normalisation
        
        for (size_t row = 0; row != N; ++row) {
          for (size_t col = 0; col != row; ++col) {
            V(row,col) *= h[row] * h[col];
            V(col,row)  = V(row,col);
          }
        }
        
        for (size_t i = 0; i != N; ++i) {
          V(i,i) = 1.0 + lambda;
        }
 
        // solve A x = b
 
        for (size_t col = 0; col != N; ++col) {
          x[col] = h[col] * get(current.result.gradient, parameters[col]);
        }
 
        try {
          V.solve(x);
        }
        catch (const exception& error) {
 
          ERROR("JGandalf: " << error.what() << endl << V << endl);
 
          break;
        }
 
        // update value
 
        for (size_t row = 0; row != N; ++row) {
 
          DEBUG("u[" << noshowpos << setw(3) << row << "] = " << showpos << FIXED(15,5) << get(value, parameters[row]));
 
          get(value, parameters[row]) -= h[row] * x[row];
 
          DEBUG(" -> " << FIXED(15,5) << get(value, parameters[row]) << noshowpos << endl);
        }
 
        model(value);
      }
 
      // abnormal end
 
      const result_type result = previous.result;
 
      value   = previous.value;                                     // restore value
 
      reset();
 
      update(fit, __begin, __end, args...);
 
      try {
        V.invert();
      }
      catch (const exception& error) {}
 
      for (size_t i = 0; i != N; ++i) {
        get(error, parameters[i]) = sqrt(V(i,i));
      }
 
      return result;
    }

reset()

template<class JModel_t >

void JFIT::JGandalf< JModel_t >::reset ( )

inlineprivateinherited

Reset current parameters.

Definition at line 349 of file JGandalf.hh.

    {
      using namespace JPP;
 
      current.result.chi2     = 0.0;
      current.result.gradient = zero;
 
      V.reset();          
    }

update() [1/2]

template<class JModel_t >

template<class JFunction_t , class T , class ... Args>

void JFIT::JGandalf< JModel_t >::update ( const JFunction_t &  fit, T  __begin, T  __end, Args ...  args  )

inlineprivateinherited

Recursive method to update current parameters.

Parameters

fit	fit function
__begin	begin of data
__end	end of data
args	optional data

Definition at line 369 of file JGandalf.hh.

    {
      for (T i = __begin; i != __end; ++i) {
 
        const result_type& result = fit(value, *i);
 
        current.result.chi2     += result.chi2;
        current.result.gradient += result.gradient;
 
        for (size_t row = 0; row != parameters.size(); ++row) {
          for (size_t col = row; col != parameters.size(); ++col) {
            V(row,col) += get(result.gradient, parameters[row]) * get(result.gradient, parameters[col]);
          }
        }
      }
 
      update(fit, args...);
    }

update() [2/2]

template<class JModel_t >

template<class JFunction_t >

void JFIT::JGandalf< JModel_t >::update ( const JFunction_t &  fit )

inlineprivateinherited

Termination method to update current parameters.

Parameters

fit	fit function

Definition at line 395 of file JGandalf.hh.

    {
      for (size_t row = 0; row != parameters.size(); ++row) {
        for (size_t col = 0; col != row; ++col) {
          V(row,col) = V(col,row);
        }
      }
    }

get() [1/6]

template<class JModel_t >

static double JFIT::JGandalf< JModel_t >::get ( const JModel_t &  model, double JModel_t::*  parameter  )

inlinestaticprivateinherited

Read/write access to parameter value by data member.

Parameters

model	model
parameter	parameter

Returns

value

Definition at line 412 of file JGandalf.hh.

    {
      return model.*parameter;
    }

get() [2/6]

template<class JModel_t >

static double& JFIT::JGandalf< JModel_t >::get ( JModel_t &  model, double JModel_t::*  parameter  )

inlinestaticprivateinherited

Read/write access to parameter value by data member.

Parameters

model	model
parameter	parameter

Returns

value

Definition at line 425 of file JGandalf.hh.

    {
      return model.*parameter;
    }

get() [3/6]

template<class JModel_t >

static double JFIT::JGandalf< JModel_t >::get ( const JModel_t &  model, const size_t  index  )

inlinestaticprivateinherited

Read/write access to parameter value by index.

Parameters

model	model
index	index

Returns

value

Definition at line 438 of file JGandalf.hh.

    {
      return model[index];
    }

get() [4/6]

template<class JModel_t >

static double& JFIT::JGandalf< JModel_t >::get ( JModel_t &  model, const size_t  index  )

inlinestaticprivateinherited

Read/write access to parameter value by index.

Parameters

model	model
index	index

Returns

value

Definition at line 451 of file JGandalf.hh.

    {
      return model[index];
    }

get() [5/6]

template<class JModel_t >

static double JFIT::JGandalf< JModel_t >::get ( const JModel_t &  model, const int  index  )

inlinestaticprivateinherited

Read/write access to parameter value by index.

Parameters

model	model
index	index

Returns

value

Definition at line 464 of file JGandalf.hh.

    {
      return model[index];
    }

get() [6/6]

template<class JModel_t >

static double& JFIT::JGandalf< JModel_t >::get ( JModel_t &  model, const int  index  )

inlinestaticprivateinherited

Read/write access to parameter value by index.

Parameters

model	model
index	index

Returns

value

Definition at line 477 of file JGandalf.hh.

    {
      return model[index];
    }

Member Data Documentation

Fit

template<class JFs_t >

JRootfit< JFs_t > JROOT::JRootfit< JFs_t >::Fit

static

Global fit object.

Definition at line 1118 of file JRootfit.hh.

result

template<class JFs_t >

result_type JROOT::JRootfit< JFs_t >::result

mutableprivate

Definition at line 1223 of file JRootfit.hh.

const { ... } JROOT::JRootfit< JFs_t >::fit

Auxiliary data structure for fit functions.

npx

template<class JFs_t >

size_t JROOT::JRootfit_t< JFs_t >::npx

protectedinherited

number of data points

Definition at line 841 of file JRootfit.hh.

chi2

template<class JFs_t >

double JROOT::JRootfit_t< JFs_t >::chi2

protectedinherited

chi2

Definition at line 842 of file JRootfit.hh.

MAXIMUM_ITERATIONS

template<class JModel_t >

int JFIT::JGandalf< JModel_t >::MAXIMUM_ITERATIONS = 1000

staticinherited

maximal number of iterations

maximal number of iterations.

Definition at line 329 of file JGandalf.hh.

EPSILON

template<class JModel_t >

double JFIT::JGandalf< JModel_t >::EPSILON = 1.0e-3

staticinherited

maximal distance to minimum

maximal distance to minimum.

Definition at line 330 of file JGandalf.hh.

EPSILON_ABSOLUTE

template<class JModel_t >

bool JFIT::JGandalf< JModel_t >::EPSILON_ABSOLUTE = false

staticinherited

set epsilon to absolute difference instead of relative

set epsilon to absolute difference instead of relative.

Definition at line 331 of file JGandalf.hh.

LAMBDA_MIN

template<class JModel_t >

double JFIT::JGandalf< JModel_t >::LAMBDA_MIN = 0.01

staticinherited

minimal value control parameter

Definition at line 332 of file JGandalf.hh.

LAMBDA_MAX

template<class JModel_t >

double JFIT::JGandalf< JModel_t >::LAMBDA_MAX = 100.0

staticinherited

maximal value control parameter

Definition at line 333 of file JGandalf.hh.

LAMBDA_UP

template<class JModel_t >

double JFIT::JGandalf< JModel_t >::LAMBDA_UP = 10.0

staticinherited

multiplication factor control parameter

Definition at line 334 of file JGandalf.hh.

LAMBDA_DOWN

template<class JModel_t >

double JFIT::JGandalf< JModel_t >::LAMBDA_DOWN = 10.0

staticinherited

multiplication factor control parameter

Definition at line 335 of file JGandalf.hh.

PIVOT

template<class JModel_t >

double JFIT::JGandalf< JModel_t >::PIVOT = std::numeric_limits<double>::epsilon()

staticinherited

minimal value diagonal element of Hesse matrix

minimal value diagonal element of matrix

Definition at line 336 of file JGandalf.hh.

parameters

template<class JModel_t >

std::vector<parameter_type> JFIT::JGandalf< JModel_t >::parameters

inherited

fit parameters

Definition at line 338 of file JGandalf.hh.

numberOfIterations

template<class JModel_t >

int JFIT::JGandalf< JModel_t >::numberOfIterations

inherited

number of iterations

Definition at line 339 of file JGandalf.hh.

lambda

template<class JModel_t >

double JFIT::JGandalf< JModel_t >::lambda

inherited

control parameter

Definition at line 340 of file JGandalf.hh.

value

template<class JModel_t >

JModel_t JFIT::JGandalf< JModel_t >::value

inherited

value

Definition at line 341 of file JGandalf.hh.

error

template<class JModel_t >

JModel_t JFIT::JGandalf< JModel_t >::error

inherited

error

Definition at line 342 of file JGandalf.hh.

V

template<class JModel_t >

JMATH::JMatrixNS JFIT::JGandalf< JModel_t >::V

inherited

Hesse matrix.

Definition at line 343 of file JGandalf.hh.

h

template<class JModel_t >

std::vector<double> JFIT::JGandalf< JModel_t >::h

privateinherited

Definition at line 482 of file JGandalf.hh.

x

template<class JModel_t >

JMATH::JVectorND JFIT::JGandalf< JModel_t >::x

privateinherited

Definition at line 483 of file JGandalf.hh.

struct { ... } JFIT::JGandalf< JModel_t >::current

struct { ... } JFIT::JGandalf< JModel_t >::previous

debug

template<class T >

int JEEP::JMessage< T >::debug = 0

staticinherited

debug level (default is off).

Definition at line 45 of file JMessage.hh.

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

• JRootfit.hh