FCN=7196.63 FROM MIGRAD    STATUS=CONVERGED     169 CALLS         170 TOTAL
                     EDM=3.06509e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.0 per cent
  EXT PARAMETER                                   STEP         FIRST   
  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
   1  p0           5.28670e+01   2.67227e-01   1.71567e-03   1.41590e-04
   2  p1           2.00562e+00   9.99521e-03  -6.72962e-05  -5.71949e-03
   3  p2          -1.02279e+00   1.35440e-02   3.22465e-05   2.77027e-03
   4  p3           2.89928e+00   7.94099e-03  -9.38703e-05  -4.55759e-03
   5  p4           3.86656e+00   1.13330e-02   1.06568e-05  -2.11126e-03
Minuit, npass=0  : RT=  0.129 s, Cpu=  0.130 s
 
****************************************
Minimizer is Fumili
Chi2                      =      7196.63
NDf                       =         7366
NCalls                    =           30
p0                        =      52.8672   +/-   0.262932    
p1                        =      2.00562   +/-   0.00992527  
p2                        =     -1.02279   +/-   0.0135821   
p3                        =      2.89927   +/-   0.00781808  
p4                        =      3.86655   +/-   0.011235    
Fumili, npass=0  : RT=  0.154 s, Cpu=  0.150 s
 
****************************************
Minimizer is Minuit2
Chi2                      =      7196.63
NDf                       =         7366
Edm                       =  4.35807e-08
NCalls                    =          176
p0                        =       52.867   +/-   0.264728    
p1                        =      2.00562   +/-   0.00995152  
p2                        =      -1.0228   +/-   0.0137398   
p3                        =      2.89928   +/-   0.00798634  
p4                        =      3.86656   +/-   0.0112306   
Minuit2, npass=0  : RT=  0.108 s, Cpu=  0.110 s
 
****************************************
Minimizer is Minuit2 / Fumili
Chi2                      =      7196.63
NDf                       =         7366
Edm                       =  2.49347e-07
NCalls                    =           99
p0                        =      52.8669   +/-   0.265504    
p1                        =      2.00562   +/-   0.00992463  
p2                        =      -1.0228   +/-   0.0135834   
p3                        =      2.89928   +/-   0.00792724  
p4                        =      3.86656   +/-   0.0113104   
Fumili2, npass=0  : RT=  0.102 s, Cpu=  0.100 s
 
 
 
 
   double t1 =   
x[0] - par[1];
 
   double t2 =   
x[1] - par[2];
 
   return par[0]* 
exp( - 0.5 * (  
t1*
t1/( par[3]*par[3]) + t2*t2  /( par[4]*par[4] )  ) ) ;
 
}
 
}
 
void fillHisto(
int n =10000) {
 
 
  for (
int i = 0; i < 
n; ++i) {
 
  }
}
 
 
   histo->
Fit(
"fitFcn",
"0");
 
   printf(
"%s, npass=%d  : RT=%7.3f s, Cpu=%7.3f s\n",fitter,npass,timer.
RealTime(),cputime);
}
 
void minuit2FitBench2D(
int n = 100000) {
 
   
   fitFcn = 
new TF2(
"fitFcn",fitFunction,-10,10,-10,10,5);
   
 
 
   histo = 
new TH2D(
"h2",
"2D Gauss",100,-10,10,100,-10,10);
 
   int npass=0;
 
   
   DoFit(
"Minuit",
gPad,npass);
 
   
     DoFit(
"Fumili",
gPad,npass);
 
   
   DoFit(
"Minuit2",
gPad,npass);
 
   
   DoFit(
"Fumili2",
gPad,npass);
}
R__EXTERN TRandom * gRandom
char * Form(const char *fmt,...)
R__EXTERN TStyle * gStyle
virtual void Update()
Called by functions such as SetRange, SetNpx, SetParameters to force the deletion of the associated h...
virtual void SetParameters(const Double_t *params)
A 2-Dim function with parameters.
static void AddDirectory(Bool_t add=kTRUE)
Sets the flag controlling the automatic add of histograms in memory.
virtual TFitResultPtr Fit(const char *formula, Option_t *option="", Option_t *goption="", Double_t xmin=0, Double_t xmax=0)
Fit histogram with function fname.
virtual void Draw(Option_t *option="")
Draw this histogram with options.
2-D histogram with a double per channel (see TH1 documentation)}
Int_t Fill(Double_t)
Invalid Fill method.
A Pave (see TPave) with a text centered in the Pave.
virtual void Draw(Option_t *option="")
Draw this pavelabel with its current attributes.
Random number generator class based on M.
virtual Double_t Gaus(Double_t mean=0, Double_t sigma=1)
Samples a random number from the standard Normal (Gaussian) Distribution with the given mean and sigm...
Double_t RealTime()
Stop the stopwatch (if it is running) and return the realtime (in seconds) passed between the start a...
void Start(Bool_t reset=kTRUE)
Start the stopwatch.
Double_t CpuTime()
Stop the stopwatch (if it is running) and return the cputime (in seconds) passed between the start an...
void Stop()
Stop the stopwatch.
void SetStatY(Float_t y=0)
void SetOptFit(Int_t fit=1)
The type of information about fit parameters printed in the histogram statistics box can be selected ...
static void SetDefaultFitter(const char *name="")
static: set name of default fitter
TVirtualPad is an abstract base class for the Pad and Canvas classes.
virtual void SetGrid(Int_t valuex=1, Int_t valuey=1)=0