67struct TF1v5Convert :
public TF1 {
74 if (from.
fType == 0) {
114 fParMin = std::vector<Double_t>(from.
fParMin, from.
fParMin + fNpar);
116 fParMax = std::vector<Double_t>(from.
fParMax, from.
fParMax + fNpar);
122 for (
int ibit = 0; ibit < 24; ++ibit)
127 auto &fromLine =
static_cast<TAttLine &
>(from);
128 fromLine.
Copy(*
this);
129 auto &fromFill =
static_cast<TAttFill &
>(from);
130 fromFill.
Copy(*
this);
131 auto &fromMarker =
static_cast<TAttMarker &
>(from);
132 fromMarker.
Copy(*
this);
140 auto **target = (TF1v5Convert **)to;
142 for (
int i = 0; i < nobjects; ++i) {
143 if (fromv5[i] && target[i])
144 target[i]->Convert(*fromv5[i]);
207 f->fFunc->InitArgs(
f->fX,
f->fPar);
216 if (
fAbsVal && fval < 0)
return -fval;
502 fXmin(0), fXmax(0), fNpar(0), fNdim(0), fType(
EFType::kFormula)
533 const auto formulaLength = strlen(formula);
535 if (strncmp(formula,
"CONV(", 5) == 0 && formula[formulaLength - 1] ==
')') {
537 int delimPosition = -1;
539 for (
unsigned int i = 5; i < formulaLength - 1; i++) {
540 if (formula[i] ==
'(')
542 else if (formula[i] ==
')')
544 else if (formula[i] ==
',' && parenCount == 0) {
545 if (delimPosition == -1)
548 Error(
"TF1",
"CONV takes 2 arguments. Too many arguments found in : %s", formula);
551 if (delimPosition == -1)
552 Error(
"TF1",
"CONV takes 2 arguments. Only one argument found in : %s", formula);
556 TString formula2 =
TString(
TString(formula)(delimPosition + 1, formulaLength - 1 - (delimPosition + 1)));
562 if (function1 ==
nullptr)
564 TF1 *function2 = (
TF1 *)(
gROOT->GetListOfFunctions()->FindObject(formula2));
565 if (function2 ==
nullptr)
566 function2 =
new TF1((
const char *)formula2, (
const char *)formula2,
xmin,
xmax);
577 fComposition = std::unique_ptr<TF1AbsComposition>(conv);
584 int f1Npar = function1->
GetNpar();
585 int f2Npar = function2->
GetNpar();
587 for (
int i = 0; i < f1Npar; i++)
591 if (conv->
GetNpar() == f1Npar + f2Npar - 1) {
596 for (
int i = 0; i < f2Npar; i++)
603 for (
int i = 0; i < f2Npar; i++)
608 }
else if (strncmp(formula,
"NSUM(", 5) == 0 && formula[formulaLength - 1] ==
')') {
610 char delimiter =
',';
626 for (
int i = 0; i < formDense.
Length(); ++i) {
627 if (formDense[i] ==
'(')
629 else if (formDense[i] ==
')')
631 else if (formDense[i] == delimiter && parenCount == 0) {
641 if (
xmin == 0 &&
xmax == 1.)
Info(
"TF1",
"Created TF1NormSum object using the default [0,1] range");
647 fComposition = std::unique_ptr<TF1AbsComposition>(normSum);
653 for (
int i = 0; i <
fNpar; i++) {
654 if (coeffNames->
At(i) !=
nullptr) {
676 Error(
"TF1",
"function: %s/%s has dimension %d instead of 1",
name, formula,
fNdim);
691 if (opt ==
nullptr)
return false;
694 if (option.
Contains(
"VEC"))
return true;
726 Info(
"TF1",
"TF1 has a name starting with a \'*\' - it is for saved TF1 objects in a .C file");
729 Error(
"TF1",
"requires a proper function name!");
737 Error(
"TF1",
"No function found with the signature %s(Double_t*,Double_t*)",
name);
801 if (doAdd &&
gROOT) {
807 gROOT->GetListOfFunctions()->Remove(f1old);
812 gROOT->GetListOfFunctions()->Add(
this);
843 if (!
gROOT)
return false;
849 assert(
gROOT->GetListOfFunctions()->FindObject(
this) !=
nullptr);
856 gROOT->GetListOfFunctions()->Add(
this);
858 }
else if (prevStatus) {
864 Warning(
"AddToGlobalList",
"Function is supposed to be in the global list but it is not present");
867 gROOT->GetListOfFunctions()->Remove(
this);
880 TString originalTerm = formula(termStart, termEnd-termStart);
882 if (coeffLength != -1)
883 termStart += coeffLength + 1;
888 TString originalFunc = formula(termStart, termEnd-termStart);
889 TString cleanedFunc =
TString(formula(termStart, termEnd-termStart))
894 if (!
gROOT->GetListOfFunctions()->FindObject(cleanedFunc))
898 if (fullFormula.
Length() != 0)
902 if (coeffLength != -1 && originalTerm[0] !=
'[')
903 fullFormula.
Append(originalTerm(0, coeffLength+1));
906 if (coeffLength != -1 && originalTerm[0] ==
'[')
909 coeffNames->
Add(
nullptr);
911 fullFormula.
Append(cleanedFunc);
919 int firstAsterisk = term.
First(
'*');
920 if (firstAsterisk == -1)
923 if (
TString(term(0,firstAsterisk)).IsFloat())
924 return firstAsterisk;
926 if (term[0] ==
'[' && term[firstAsterisk-1] ==
']'
927 &&
TString(term(1,firstAsterisk-2)).IsAlnum())
928 return firstAsterisk;
955 if (
gROOT)
gROOT->GetListOfFunctions()->Remove(
this);
967 fXmin(0), fXmax(0), fNpar(0), fNdim(0), fType(
EFType::kFormula)
990 Draw(
b ?
b->GetDrawOption() :
"");
1002 delete((
TF1 &)obj).fHistogram;
1025 ((
TF1 &)obj).fHistogram = 0;
1026 ((
TF1 &)obj).fMethodCall = 0;
1029 ((
TF1 &)obj).fFormula = 0;
1035 ((
TF1 &)obj).fMethodCall.reset(
m);
1041 ((
TF1 &)obj).fParams.reset(paramsToCopy);
1044 ((
TF1 &)obj).fFunctor.reset(functorToCopy);
1051 ((
TF1 &)obj).fComposition.reset(comp);
1111 Warning(
"Derivative",
"Function dimension is larger than one");
1119 if (
h <= 0)
h = 0.001;
1176 Warning(
"Derivative2",
"Function dimension is larger than one");
1184 if (
h <= 0)
h = 0.001;
1241 Warning(
"Derivative3",
"Function dimension is larger than one");
1249 if (
h <= 0)
h = 0.001;
1291 Int_t distance = 9999;
1294 if (distance <= 1)
return distance;
1301 xx[0] =
gPad->PadtoX(
x);
1302 if (xx[0] <
fXmin || xx[0] >
fXmax)
return distance;
1336 gPad->IncrementPaletteColor(1, opt);
1360 TF1 *newf1 = (
TF1 *)this->IsA()->New();
1388 if (padsav) padsav->
cd();
1413 if (padsav) padsav->
cd();
1505#ifdef R__HAS_VECCORE
1508 if (params) result = EvalParVec(
x, params);
1524 Error(
"EvalPar",
"Composition function not found");
1526 result = (*fComposition)(
x, params);
1543 if (!
gPad->GetView()) {
1555 if (ipar < 0 || ipar >
GetNpar() - 1)
return;
1567 ::Warning(
"TF1::GetCurrent",
"This function is obsolete and is working only for the current painted functions");
1617 if (!logx &&
gPad != 0) logx =
gPad->GetLogx();
1658 if (!logx &&
gPad != 0) logx =
gPad->GetLogx();
1699 if (!logx &&
gPad != 0) logx =
gPad->GetLogx();
1725 Error(
"GetMinimumNDim",
"Function of dimension 0 - return Eval(x)");
1726 return (
const_cast<TF1 &
>(*
this))(
x);
1735 Error(
"GetMinimumNDim",
"Error creating minimizer %s", minimName);
1753 std::vector<double> rmin(ndim);
1754 std::vector<double> rmax(ndim);
1756 for (
int i = 0; i < ndim; ++i) {
1757 const char *xname = 0;
1758 double stepSize = 0.1;
1760 if (rmax[i] > rmin[i])
1761 stepSize = (rmax[i] - rmin[i]) / 100;
1762 else if (std::abs(
x[i]) > 1.)
1763 stepSize = 0.1 *
x[i];
1769 }
else if (i == 1) {
1779 if (rmin[i] < rmax[i]) {
1789 Error(
"GetMinimumNDim",
"Error minimizing function %s",
GetName());
1791 if (min->
X()) std::copy(min->
X(), min->
X() + ndim,
x);
1795 return (findmax) ? -fmin : fmin;
1866 if (!logx &&
gPad != 0) logx =
gPad->GetLogx();
1875 if (!ret)
Error(
"GetX",
"[%f,%f] is not a valid interval",
xmin,
xmax);
1901 for (
Int_t i = 0; i < ntot; i++) {
1902 ((
TF1 *)
this)->GetParLimits(i, al, bl);
1903 if (al * bl != 0 && al >= bl) nfree--;
1916 static char info[64];
1928 if (ipar < 0 || ipar >
GetNpar() - 1)
return 0;
1942 if (ipar < 0 || ipar >
n - 1)
return;
1953 if (
fNDF <= 0)
return 0;
1996 const Double_t dx = (xMax - xMin) / npx;
2004 Int_t intNegative = 0;
2006 for (i = 0; i < npx; i++) {
2012 integral[i + 1] = integral[i] + integ;
2015 if (intNegative > 0)
2016 Warning(
"GetQuantiles",
"function:%s has %d negative values: abs assumed",
2018 if (integral[npx] == 0) {
2019 Error(
"GetQuantiles",
"Integral of function is zero");
2024 for (i = 1; i <= npx; i++) integral[i] /=
total;
2028 for (i = 0; i < npx; i++) {
2030 const Double_t r2 = integral[i + 1] - integral[i];
2032 gamma[i] = (2 * r2 - 4 * r1) / (dx * dx);
2033 beta[i] = r2 / dx - gamma[i] * dx;
2040 for (i = 0; i < nprobSum; i++) {
2057 const Double_t fac = -2.*gamma[bin] * rr / beta[bin] / beta[bin];
2058 if (fac != 0 && fac <= 1)
2059 xx = (-beta[bin] +
TMath::Sqrt(beta[bin] * beta[bin] + 2 * gamma[bin] * rr)) / gamma[bin];
2060 else if (beta[bin] != 0.)
2061 xx = rr / beta[bin];
2062 q[i] = alpha[bin] + xx;
2065 if (integral[bin + 1] ==
r)
q[i] += dx;
2084 Int_t intNegative = 0;
2100 Info(
"GetRandom",
"Use log scale for tabulating the integral in [%f,%f] with %d points",
fXmin,
fXmax,
fNpx);
2104 std::vector<Double_t> xx(
fNpx + 1);
2105 for (i = 0; i <
fNpx; i++) {
2106 xx[i] =
xmin + i * dx;
2109 for (i = 0; i <
fNpx; i++) {
2113 integ =
Integral(xx[i], xx[i + 1], 0.0);
2121 if (intNegative > 0) {
2122 Warning(
"GetRandom",
"function:%s has %d negative values: abs assumed",
GetName(), intNegative);
2125 Error(
"GetRandom",
"Integral of function is zero");
2129 for (i = 1; i <=
fNpx; i++) {
2136 for (i = 0; i <
fNpx; i++) {
2143 r3 = 2 * r2 - 4 * r1;
2145 fGamma[i] = r3 / (dx * dx);
2204 yy = rr /
fBeta[bin];
2251 if (nbinmax >
fNpx) nbinmax =
fNpx;
2266 xx = rr /
fBeta[bin];
2268 }
while (x < xmin || x >
xmax);
2281 for (
int i = 0; i < ndim; ++i) {
2285 }
else if (i == 1) {
2288 }
else if (i == 2) {
2340 if (
fSave.size() == 0)
return 0;
2342 int fNsave =
fSave.size();
2352 TAxis *xaxis =
h->GetXaxis();
2359 ylow =
fSave[bin - bin1];
2360 yup =
fSave[bin - bin1 + 1];
2364 ylow =
fSave[bin - bin1 - 1];
2365 yup =
fSave[bin - bin1];
2368 y = ((xup * ylow - xlow * yup) +
x * (yup - ylow)) / dx;
2372 Int_t np = fNsave - 3;
2376 if (x < xmin || x >
xmax)
return 0;
2379 if (dx <= 0)
return 0;
2382 xlow =
xmin + bin * dx;
2385 yup =
fSave[bin + 1];
2386 y = ((xup * ylow - xlow * yup) +
x * (yup - ylow)) / dx;
2398 return h->GetXaxis();
2409 return h->GetYaxis();
2420 return h->GetZaxis();
2441 return GradientParTempl<Double_t>(ipar,
x, eps);
2467 GradientParTempl<Double_t>(
x, grad, eps);
2478 if (params) args[1] = (
Longptr_t)params;
2492 if (!
gROOT->GetListOfFunctions()->FindObject(
"gaus")) {
2493 f1 =
new TF1(
"gaus",
"gaus", -1, 1);
2495 f1 =
new TF1(
"gausn",
"gausn", -1, 1);
2497 f1 =
new TF1(
"landau",
"landau", -1, 1);
2499 f1 =
new TF1(
"landaun",
"landaun", -1, 1);
2501 f1 =
new TF1(
"expo",
"expo", -1, 1);
2503 for (
Int_t i = 0; i < 10; i++) {
2533 Warning(
"analytical integral not available for %s - with number %d compute numerical integral",
GetName(),
GetNumber());
2630 error = iod.
Error();
2642 error = iod.
Error();
2647 Warning(
"IntegralOneDim",
"Error found in integrating function %s in [%f,%f] using %s. Result = %f +/- %f - status = %d",
GetName(),
a,
b, igName.c_str(), result, error, status);
2648 TString msg(
"\t\tFunction Parameters = {");
2649 for (
int ipar = 0; ipar <
GetNpar(); ++ipar) {
2654 Info(
"IntegralOneDim",
"%s", msg.
Data());
2790 Int_t nfnevl, ifail;
2794 Warning(
"IntegralMultiple",
"failed code=%d, ", ifail);
2853 nfnevl = aimd.
NEval();
2859 relerr = (result != 0) ? imd.
Error() / std::abs(result) : imd.
Error();
2890 printf(
"Formula based function: %s \n",
GetName());
2893 }
else if (
fType > 0) {
2895 printf(
"Interpreted based function: %s(double *x, double *p). Ndim = %d, Npar = %d \n",
GetName(),
GetNdim(),
2900 printf(
"fComposition not found!\n");
2903 printf(
"Compiled based function: %s based on a functor object. Ndim = %d, Npar = %d\n",
GetName(),
2906 printf(
"Function based on a list of points from a compiled based function: %s. Ndim = %d, Npar = %d, Npx "
2910 Warning(
"Print",
"Function %s is based on a list of points but list is empty",
GetName());
2918 printf(
"List of Parameters: \n");
2919 for (
int i = 0; i <
fNpar; ++i)
2922 if (!
fSave.empty()) {
2924 printf(
"List of Saved points (N=%d): \n",
int(
fSave.size()));
2926 printf(
"( %10f ) ",
x);
2932 printf(
"Contained histogram\n");
2948 strlcpy(option,choptin,32);
2962 pmin =
gPad->PadtoX(
gPad->GetUxmin());
2963 pmax =
gPad->PadtoX(
gPad->GetUxmax());
2966 if (
xmax < pmin)
return;
2967 if (
xmin > pmax)
return;
2975 char *l1 = strstr(option,
"PFC");
2976 char *l2 = strstr(option,
"PLC");
2977 char *l3 = strstr(option,
"PMC");
2978 if (l1 || l2 || l3) {
2988 if (minimum <= 0 && gPad && gPad->GetLogy()) minimum = -1111;
2991 if (minimum == -1111) {
2998 if (minimum == -1111) {
3000 if (optSAME &&
gPad) hmin =
gPad->GetUymin();
3005 if (optSAME &&
gPad) hmax =
gPad->GetUymax();
3007 hmin -= 0.05 * (hmax - hmin);
3008 if (hmin < 0) hmin = 0;
3009 if (hmin <= 0 && gPad && gPad->GetLogy()) hmin = hminpos;
3016 if (maximum == -1111) {
3054 char *semicol = (
char *)strstr(
GetTitle(),
";");
3056 Int_t nxt = strlen(semicol);
3057 char *ctemp =
new char[nxt];
3058 strlcpy(ctemp, semicol + 1, nxt);
3059 semicol = (
char *)strstr(ctemp,
";");
3062 ytitle = semicol + 1;
3072 if (!
gPad->GetLogx() && test_logx) {
3077 if (
gPad->GetLogx() && !test_logx) {
3095 for (i = 0; i <=
fNpx; i++) {
3096 xbins[i] =
gPad->PadtoX(xlogmin + i * dlogx);
3116 for (i = 1; i <=
fNpx; i++) {
3146 if (ipar < 0 || ipar >
GetNpar() - 1)
return;
3164 int fNsave = bin2 - bin1 + 4;
3166 fSave.resize(fNsave);
3170 for (
Int_t i = bin1; i <= bin2; i++) {
3171 xv[0] =
h->GetXaxis()->GetBinCenter(i);
3180 int fNsave =
fNpx + 3;
3185 fSave.resize(fNsave);
3196 xv[0] =
xmin + dx * i;
3213 if (strstr(option,
"cc")) {
3214 out <<
"double " <<
GetName() <<
"(double xv) {" << std::endl;
3216 out <<
" double x[" <<
fNpx <<
"] = {" << std::endl;
3219 for (i = 0; i <
fNpx; i++) {
3220 out <<
fXmin + dx *i ;
3221 if (i <
fNpx - 1) out <<
", ";
3229 out <<
" };" << std::endl;
3230 out <<
" double y[" <<
fNpx <<
"] = {" << std::endl;
3233 for (i = 0; i <
fNpx; i++) {
3235 if (i <
fNpx - 1) out <<
", ";
3243 out <<
" };" << std::endl;
3244 out <<
" if (xv<x[0]) return y[0];" << std::endl;
3245 out <<
" if (xv>x[" <<
fNpx - 1 <<
"]) return y[" <<
fNpx - 1 <<
"];" << std::endl;
3246 out <<
" int i, j=0;" << std::endl;
3247 out <<
" for (i=1; i<" <<
fNpx <<
"; i++) { if (xv < x[i]) break; j++; }" << std::endl;
3248 out <<
" return y[j] + (y[j + 1] - y[j]) / (x[j + 1] - x[j]) * (xv - x[j]);" << std::endl;
3249 out <<
"}" << std::endl;
3253 out <<
" " << std::endl;
3256 static Int_t f1Number = 0;
3258 const char *
l = strstr(option,
"#");
3260 sscanf(&
l[1],
"%d", &f1Number);
3266 const char *addToGlobList =
fParent ?
", TF1::EAddToList::kNo" :
", TF1::EAddToList::kDefault";
3269 out <<
" TF1 *" << f1Name.
Data() <<
" = new TF1(" << quote <<
GetName() << quote <<
"," << quote <<
GetTitle() << quote <<
"," <<
fXmin <<
"," <<
fXmax << addToGlobList <<
");" << std::endl;
3271 out <<
" " << f1Name.
Data() <<
"->SetNpx(" <<
fNpx <<
");" << std::endl;
3274 out <<
" TF1 *" << f1Name.
Data() <<
" = new TF1(" << quote <<
"*" <<
GetName() << quote <<
"," <<
fXmin <<
"," <<
fXmax <<
"," <<
GetNpar() <<
");" << std::endl;
3275 out <<
" //The original function : " <<
GetTitle() <<
" had originally been created by:" << std::endl;
3277 out <<
", 1" << addToGlobList <<
");" << std::endl;
3278 out <<
" " << f1Name.
Data() <<
"->SetRange(" <<
fXmin <<
"," <<
fXmax <<
");" << std::endl;
3279 out <<
" " << f1Name.
Data() <<
"->SetName(" << quote <<
GetName() << quote <<
");" << std::endl;
3280 out <<
" " << f1Name.
Data() <<
"->SetTitle(" << quote <<
GetTitle() << quote <<
");" << std::endl;
3282 out <<
" " << f1Name.
Data() <<
"->SetNpx(" <<
fNpx <<
");" << std::endl;
3288 for (i = 0; i <=
fNpx; i++) {
3289 xv[0] =
fXmin + dx * i;
3291 out <<
" " << f1Name.
Data() <<
"->SetSavedPoint(" << i <<
"," << save <<
");" << std::endl;
3293 out <<
" " << f1Name.
Data() <<
"->SetSavedPoint(" <<
fNpx + 1 <<
"," <<
fXmin <<
");" << std::endl;
3294 out <<
" " << f1Name.
Data() <<
"->SetSavedPoint(" <<
fNpx + 2 <<
"," <<
fXmax <<
");" << std::endl;
3298 out <<
" " << f1Name.
Data() <<
"->SetBit(TF1::kNotDraw);" << std::endl;
3303 out <<
" " << f1Name.
Data() <<
"->SetFillColor(ci);" << std::endl;
3305 out <<
" " << f1Name.
Data() <<
"->SetFillColor(" <<
GetFillColor() <<
");" << std::endl;
3308 out <<
" " << f1Name.
Data() <<
"->SetFillStyle(" <<
GetFillStyle() <<
");" << std::endl;
3313 out <<
" " << f1Name.
Data() <<
"->SetMarkerColor(ci);" << std::endl;
3315 out <<
" " << f1Name.
Data() <<
"->SetMarkerColor(" <<
GetMarkerColor() <<
");" << std::endl;
3318 out <<
" " << f1Name.
Data() <<
"->SetMarkerStyle(" <<
GetMarkerStyle() <<
");" << std::endl;
3321 out <<
" " << f1Name.
Data() <<
"->SetMarkerSize(" <<
GetMarkerSize() <<
");" << std::endl;
3326 out <<
" " << f1Name.
Data() <<
"->SetLineColor(ci);" << std::endl;
3328 out <<
" " << f1Name.
Data() <<
"->SetLineColor(" <<
GetLineColor() <<
");" << std::endl;
3331 out <<
" " << f1Name.
Data() <<
"->SetLineWidth(" <<
GetLineWidth() <<
");" << std::endl;
3334 out <<
" " << f1Name.
Data() <<
"->SetLineStyle(" <<
GetLineStyle() <<
");" << std::endl;
3337 out <<
" " << f1Name.
Data() <<
"->SetChisquare(" <<
GetChisquare() <<
");" << std::endl;
3338 out <<
" " << f1Name.
Data() <<
"->SetNDF(" <<
GetNDF() <<
");" << std::endl;
3345 for (i = 0; i <
GetNpar(); i++) {
3346 out <<
" " << f1Name.
Data() <<
"->SetParameter(" << i <<
"," <<
GetParameter(i) <<
");" << std::endl;
3347 out <<
" " << f1Name.
Data() <<
"->SetParError(" << i <<
"," <<
GetParError(i) <<
");" << std::endl;
3349 out <<
" " << f1Name.
Data() <<
"->SetParLimits(" << i <<
"," << parmin <<
"," << parmax <<
");" << std::endl;
3351 if (!strstr(option,
"nodraw")) {
3352 out <<
" " << f1Name.
Data() <<
"->Draw("
3353 << quote << option << quote <<
");" << std::endl;
3379 Warning(
"SetFitResult",
"Empty Fit result - nothing is set in TF1");
3382 if (indpar == 0 && npar != (
int) result.
NPar()) {
3383 Error(
"SetFitResult",
"Invalid Fit result passed - number of parameter is %d , different than TF1::GetNpar() = %d", npar, result.
NPar());
3386 if (result.
Chi2() > 0)
3395 for (
Int_t i = 0; i < npar; ++i) {
3396 Int_t ipar = (indpar != 0) ? indpar[i] : i;
3397 if (ipar < 0)
continue;
3400 if (ipar < (
int) result.
Errors().size())
3455 const Int_t minPx = 4;
3456 Int_t maxPx = 10000000;
3457 if (
GetNdim() > 1) maxPx = 10000;
3458 if (npx >= minPx && npx <= maxPx) {
3461 if (npx < minPx)
fNpx = minPx;
3462 if (npx > maxPx)
fNpx = maxPx;
3463 Warning(
"SetNpx",
"Number of points must be >=%d && <= %d, fNpx set to %d", minPx, maxPx,
fNpx);
3473 if (ipar < 0 || ipar >=
GetNpar())
return;
3482void TF1::SetParNames(
const char *name0,
const char *name1,
const char *name2,
const char *name3,
const char *name4,
3483 const char *name5,
const char *name6,
const char *name7,
const char *name8,
const char *name9,
const char *name10)
3486 fFormula->SetParNames(name0, name1, name2, name3, name4, name5, name6, name7, name8, name9, name10);
3488 fParams->SetParNames(name0, name1, name2, name3, name4, name5, name6, name7, name8, name9, name10);
3495 if (ipar < 0 || ipar >
GetNpar() - 1)
return;
3506 if (!errors)
return;
3521 if (ipar < 0 || ipar > npar - 1)
return;
3522 if (
int(
fParMin.size()) != npar) {
3525 if (
int(
fParMax.size()) != npar) {
3555 if (
fSave.size() == 0) {
3558 if (point < 0 || point >=
int(
fSave.size()))
return;
3559 fSave[point] = value;
3584 if (
b.IsReading()) {
3593 b.ReadClassBuffer(TF1::Class(),
this,
v, R__s, R__c);
3596 gROOT->GetListOfFunctions()->Add(
this);
3602 fold.
Streamer(
b,
v, R__s, R__c, TF1::Class());
3604 ((TF1v5Convert *)
this)->Convert(fold);
3616 b.WriteClassBuffer(TF1::Class(),
this);
3698 Error(
"Moment",
"Integral zero over range");
3732 Error(
"Moment",
"Integral zero over range");
3830 for (
unsigned int i = 0; i <
fParNames.size(); ++i) {
3861 const char *name4,
const char *name5,
const char *name6,
const char *name7,
3862 const char *name8,
const char *name9,
const char *name10)
Double_t AnalyticalIntegral(TF1 *f, Double_t a, Double_t b)
typedef void(GLAPIENTRYP _GLUfuncptr)(void)
static const double x2[5]
static const double x1[5]
bool R__SetClonesArrayTF1Updater(TF1Updater_t func)
TF1::EAddToList GetGlobalListOption(Option_t *opt)
int R__RegisterTF1UpdaterTrigger
void(*)(Int_t nobjects, TObject **from, TObject **to) TF1Updater_t
static Double_t gErrorTF1
static void R__v5TF1Updater(Int_t nobjects, TObject **from, TObject **to)
bool GetVectorizedOption(Option_t *opt)
void GetParameters(TFitEditor::FuncParams_t &pars, TF1 *func)
Stores the parameters of the given function into pars.
static unsigned int total
R__EXTERN TVirtualMutex * gROOTMutex
R__EXTERN TRandom * gRandom
char * Form(const char *fmt,...)
R__EXTERN TStyle * gStyle
#define R__LOCKGUARD(mutex)
double operator()(double x) const
GFunc(const TF1 *function, double y)
GInverseFuncNdim(TF1 *function)
double operator()(const double *x) const
double operator()(double x) const
GInverseFunc(const TF1 *function)
class containg the result of the fit and all the related information (fitted parameter values,...
bool IsEmpty() const
True if a fit result does not exist (even invalid) with parameter values.
const std::vector< double > & Errors() const
parameter errors (return st::vector)
double Error(unsigned int i) const
parameter error by index
unsigned int Ndf() const
Number of degree of freedom.
double Chi2() const
Chi2 fit value in case of likelihood must be computed ?
double MinFcnValue() const
Return value of the objective function (chi2 or likelihood) used in the fit.
unsigned int NPar() const
total number of parameters (abbreviation)
unsigned int NFreeParameters() const
get total number of free parameters
double Parameter(unsigned int i) const
parameter value by index
Class for adaptive quadrature integration in multi-dimensions using rectangular regions.
int Status() const
return status of integration
int NEval() const
return number of function evaluations in calculating the integral
double RelError() const
return relative error
double Integral(const double *xmin, const double *xmax)
evaluate the integral with the previously given function between xmin[] and xmax[]
User class for performing function minimization.
virtual bool Minimize(int maxIter, double absTol=1.E-8, double relTol=1.E-10)
Find minimum position iterating until convergence specified by the absolute and relative tolerance or...
virtual double XMinimum() const
Return current estimate of the position of the minimum.
void SetFunction(const ROOT::Math::IGenFunction &f, double xlow, double xup)
Sets function to be minimized.
void SetNpx(int npx)
Set the number of point used to bracket root using a grid.
void SetLogScan(bool on)
Set a log grid scan (default is equidistant bins) will work only if xlow > 0.
virtual double FValMinimum() const
Return function value at current estimate of the minimum.
Class for finding the root of a one dimensional function using the Brent algorithm.
double Root() const
Returns root value.
bool Solve(int maxIter=100, double absTol=1E-8, double relTol=1E-10)
Returns the X value corresponding to the function value fy for (xmin<x<xmax).
void SetNpx(int npx)
Set the number of point used to bracket root using a grid.
bool SetFunction(const ROOT::Math::IGenFunction &f, double xlow, double xup)
Sets the function for the rest of the algorithms.
void SetLogScan(bool on)
Set a log grid scan (default is equidistant bins) will work only if xlow > 0.
static ROOT::Math::Minimizer * CreateMinimizer(const std::string &minimizerType="", const std::string &algoType="")
static method to create the corrisponding Minimizer given the string Supported Minimizers types are: ...
Functor1D class for one-dimensional functions.
User class for performing function integration.
double IntegralLow(double b)
Returns Integral of function on a lower semi-infinite interval.
double Integral(double a, double b)
Returns Integral of function between a and b.
double Error() const
Return the estimate of the absolute Error of the last Integral calculation.
void SetFunction(const IGenFunction &)
Set integration function (flag control if function must be copied inside).
virtual void SetRelTolerance(double eps)
Set the desired relative Error.
int Status() const
return the status of the last integration - 0 in case of success
double IntegralUp(double a)
Returns Integral of function on an upper semi-infinite interval.
User class for performing function integration.
void GetWeightVectors(double *x, double *w) const
Returns the arrays x and w containing the abscissa and weight of the Gauss-Legendre n-point quadratur...
Interface (abstract class) for generic functions objects of one-dimension Provides a method to evalua...
static IntegrationMultiDim::Type DefaultIntegratorType()
static unsigned int DefaultNCalls()
static double DefaultRelTolerance()
static double DefaultAbsTolerance()
User class for performing multidimensional integration.
double Integral(const double *xmin, const double *xmax)
evaluate the integral with the previously given function between xmin[] and xmax[]
int Status() const
return the Error Status of the last Integral calculation
double Error() const
return integration error
static double DefaultAbsTolerance()
static double DefaultRelTolerance()
static IntegrationOneDim::Type DefaultIntegratorType()
User Class for performing numerical integration of a function in one dimension.
static std::string GetName(IntegrationOneDim::Type)
static function to get a string from the enumeration
int Status() const
return the Error Status of the last Integral calculation
double IntegralUp(const IGenFunction &f, double a)
evaluate the Integral of a function f over the semi-infinite interval (a,+inf)
double Integral(Function &f, double a, double b)
evaluate the Integral of a function f over the defined interval (a,b)
double Error() const
return the estimate of the absolute Error of the last Integral calculation
double IntegralLow(const IGenFunction &f, double b)
evaluate the Integral of a function f over the over the semi-infinite interval (-inf,...
static const std::string & DefaultMinimizerType()
static const std::string & DefaultMinimizerAlgo()
Abstract Minimizer class, defining the interface for the various minimizer (like Minuit2,...
virtual const double * X() const =0
return pointer to X values at the minimum
virtual void SetFunction(const ROOT::Math::IMultiGenFunction &func)=0
set the function to minimize
void SetTolerance(double tol)
set the tolerance
virtual bool Minimize()=0
method to perform the minimization
virtual bool SetVariable(unsigned int ivar, const std::string &name, double val, double step)=0
set a new free variable
void SetMaxFunctionCalls(unsigned int maxfcn)
set maximum of function calls
virtual bool SetLimitedVariable(unsigned int ivar, const std::string &name, double val, double step, double lower, double upper)
set a new upper/lower limited variable (override if minimizer supports them ) otherwise as default se...
virtual double MinValue() const =0
return minimum function value
Param Functor class for Multidimensional functions.
User class for calculating the derivatives of a function.
double Derivative2(double x)
Returns the second derivative of the function at point x, computed by Richardson's extrapolation meth...
double Error() const
Returns the estimate of the absolute Error of the last derivative calculation.
double Derivative3(double x)
Returns the third derivative of the function at point x, computed by Richardson's extrapolation metho...
double Derivative1(double x)
Returns the first derivative of the function at point x, computed by Richardson's extrapolation metho...
Template class to wrap any C++ callable object which takes one argument i.e.
Template class to wrap any C++ callable object implementing operator() (const double * x) in a multi-...
Class to Wrap a ROOT Function class (like TF1) in a IParamFunction interface of one dimensions to be ...
void SetParameters(const double *p)
set parameter values need to call also SetParameters in TF1 in ace some other operations (re-normaliz...
Array of doubles (64 bits per element).
const Double_t * GetArray() const
Fill Area Attributes class.
virtual Color_t GetFillColor() const
Return the fill area color.
void Copy(TAttFill &attfill) const
Copy this fill attributes to a new TAttFill.
virtual Style_t GetFillStyle() const
Return the fill area style.
virtual void SetFillColor(Color_t fcolor)
Set the fill area color.
virtual void SetFillStyle(Style_t fstyle)
Set the fill area style.
virtual Color_t GetLineColor() const
Return the line color.
virtual void SetLineStyle(Style_t lstyle)
Set the line style.
virtual Width_t GetLineWidth() const
Return the line width.
virtual void SetLineWidth(Width_t lwidth)
Set the line width.
virtual void SetLineColor(Color_t lcolor)
Set the line color.
virtual Style_t GetLineStyle() const
Return the line style.
void Copy(TAttLine &attline) const
Copy this line attributes to a new TAttLine.
virtual Style_t GetMarkerStyle() const
Return the marker style.
virtual void SetMarkerColor(Color_t mcolor=1)
Set the marker color.
virtual Color_t GetMarkerColor() const
Return the marker color.
virtual Size_t GetMarkerSize() const
Return the marker size.
virtual void SetMarkerStyle(Style_t mstyle=1)
Set the marker style.
void Copy(TAttMarker &attmarker) const
Copy this marker attributes to a new TAttMarker.
virtual void SetMarkerSize(Size_t msize=1)
Set the marker size.
Class to manage histogram axis.
virtual Double_t GetBinCenter(Int_t bin) const
Return center of bin.
virtual void SaveAttributes(std::ostream &out, const char *name, const char *subname)
Save axis attributes as C++ statement(s) on output stream out.
virtual Int_t FindBin(Double_t x)
Find bin number corresponding to abscissa x.
virtual void SetLimits(Double_t xmin, Double_t xmax)
const char * GetTitle() const
Returns title of object.
Using a TBrowser one can browse all ROOT objects.
Buffer base class used for serializing objects.
virtual void SetOwner(Bool_t enable=kTRUE)
Set whether this collection is the owner (enable==true) of its content.
static void SaveColor(std::ostream &out, Int_t ci)
Save a color with index > 228 as a C++ statement(s) on output stream out.
virtual void Copy(TObject &obj) const =0
Copy this to obj.
Class wrapping convolution of two functions.
const char * GetParName(Int_t ipar) const
Class adding two functions: c1*f1+c2*f2.
const char * GetParName(Int_t ipar) const
std::vector< double > GetParameters() const
Return array of parameters.
Int_t GetNpar() const
Return the number of (non constant) parameters including the coefficients: for 2 functions: c1,...
std::vector< Double_t > fParameters
void SetParNames(const char *name0="p0", const char *name1="p1", const char *name2="p2", const char *name3="p3", const char *name4="p4", const char *name5="p5", const char *name6="p6", const char *name7="p7", const char *name8="p8", const char *name9="p9", const char *name10="p10")
Set parameter names.
std::vector< std::string > fParNames
void SetParameters(const Double_t *params)
Int_t GetParNumber(const char *name) const
Returns the parameter number given a name not very efficient but list of parameters is typically smal...
Double_t DoEval(Double_t x) const
implementation of the evaluation function. Must be implemented by derived classes
Double_t EvalFirstMom(Double_t x)
Double_t EvalNMom(Double_t x) const
TF1_EvalWrapper(TF1 *f, const Double_t *par, bool useAbsVal, Double_t n=1, Double_t x0=0)
ROOT::Math::IGenFunction * Clone() const
Clone a function.
std::unique_ptr< TF1FunctorPointer > fFunctor
! Functor object to wrap any C++ callable object
virtual Double_t GetMinimumX(Double_t xmin=0, Double_t xmax=0, Double_t epsilon=1.E-10, Int_t maxiter=100, Bool_t logx=false) const
Returns the X value corresponding to the minimum value of the function on the (xmin,...
virtual Double_t GetMinimum(Double_t xmin=0, Double_t xmax=0, Double_t epsilon=1.E-10, Int_t maxiter=100, Bool_t logx=false) const
Returns the minimum value of the function on the (xmin, xmax) interval.
virtual Double_t GetXmax() const
virtual void ReleaseParameter(Int_t ipar)
Release parameter number ipar If used in a fit, the parameter can vary freely.
virtual char * GetObjectInfo(Int_t px, Int_t py) const
Redefines TObject::GetObjectInfo.
virtual void SetParError(Int_t ipar, Double_t error)
Set error for parameter number ipar.
static void RejectPoint(Bool_t reject=kTRUE)
Static function to set the global flag to reject points the fgRejectPoint global flag is tested by al...
EAddToList
Add to list behavior.
virtual Int_t GetNumber() const
virtual Int_t GetNDF() const
Return the number of degrees of freedom in the fit the fNDF parameter has been previously computed du...
std::vector< Double_t > fParErrors
Array of errors of the fNpar parameters.
Int_t fNdim
Function dimension.
static void CalcGaussLegendreSamplingPoints(Int_t num, Double_t *x, Double_t *w, Double_t eps=3.0e-11)
Type safe interface (static method) The number of sampling points are taken from the TGraph.
static void AbsValue(Bool_t reject=kTRUE)
Static function: set the fgAbsValue flag.
virtual TH1 * GetHistogram() const
Return a pointer to the histogram used to visualise the function Note that this histogram is managed ...
virtual void GetParLimits(Int_t ipar, Double_t &parmin, Double_t &parmax) const
Return limits for parameter ipar.
virtual Double_t Derivative2(Double_t x, Double_t *params=0, Double_t epsilon=0.001) const
Returns the second derivative of the function at point x, computed by Richardson's extrapolation meth...
Int_t fNpar
Number of parameters.
TAxis * GetYaxis() const
Get y axis of the function.
virtual void SetNDF(Int_t ndf)
Set the number of degrees of freedom ndf should be the number of points used in a fit - the number of...
virtual Double_t GetParError(Int_t ipar) const
Return value of parameter number ipar.
static std::atomic< Bool_t > fgAddToGlobList
virtual Double_t Moment(Double_t n, Double_t a, Double_t b, const Double_t *params=0, Double_t epsilon=0.000001)
Return nth moment of function between a and b.
virtual void SetChisquare(Double_t chi2)
Double_t fNormIntegral
Integral of the function before being normalized.
Double_t GetChisquare() const
virtual void SetMaximum(Double_t maximum=-1111)
Set the maximum value along Y for this function In case the function is already drawn,...
virtual TH1 * CreateHistogram()
Double_t fXmin
Lower bounds for the range.
std::unique_ptr< TMethodCall > fMethodCall
! Pointer to MethodCall in case of interpreted function
virtual void Copy(TObject &f1) const
Copy this F1 to a new F1.
virtual void Update()
Called by functions such as SetRange, SetNpx, SetParameters to force the deletion of the associated h...
virtual Double_t GetProb() const
Return the fit probability.
virtual void SetTitle(const char *title="")
Set function title if title has the form "fffffff;xxxx;yyyy", it is assumed that the function title i...
virtual void SetFitResult(const ROOT::Fit::FitResult &result, const Int_t *indpar=0)
Set the result from the fit parameter values, errors, chi2, etc... Optionally a pointer to a vector (...
virtual Double_t GradientPar(Int_t ipar, const Double_t *x, Double_t eps=0.01)
Compute the gradient (derivative) wrt a parameter ipar.
TAxis * GetZaxis() const
Get z axis of the function. (In case this object is a TF2 or TF3)
virtual Double_t GetRandom(TRandom *rng=nullptr, Option_t *opt=nullptr)
Return a random number following this function shape.
virtual void SetRange(Double_t xmin, Double_t xmax)
Initialize the upper and lower bounds to draw the function.
virtual Int_t GetNpar() const
std::vector< Double_t > fBeta
! Array beta. is approximated by x = alpha +beta*r *gamma*r**2
Int_t fNDF
Number of degrees of freedom in the fit.
TH1 * fHistogram
! Pointer to histogram used for visualisation
std::unique_ptr< TF1AbsComposition > fComposition
Pointer to composition (NSUM or CONV)
virtual void SetParErrors(const Double_t *errors)
Set errors for all active parameters when calling this function, the array errors must have at least ...
virtual TH1 * DoCreateHistogram(Double_t xmin, Double_t xmax, Bool_t recreate=kFALSE)
Create histogram with bin content equal to function value computed at the bin center This histogram w...
virtual Double_t CentralMoment(Double_t n, Double_t a, Double_t b, const Double_t *params=0, Double_t epsilon=0.000001)
Return nth central moment of function between a and b (i.e the n-th moment around the mean value)
Int_t fNpfits
Number of points used in the fit.
static void SetCurrent(TF1 *f1)
Static function setting the current function.
std::vector< Double_t > fAlpha
! Array alpha. for each bin in x the deconvolution r of fIntegral
virtual Double_t Integral(Double_t a, Double_t b, Double_t epsrel=1.e-12)
IntegralOneDim or analytical integral.
virtual Double_t Derivative(Double_t x, Double_t *params=0, Double_t epsilon=0.001) const
Returns the first derivative of the function at point x, computed by Richardson's extrapolation metho...
std::unique_ptr< TFormula > fFormula
Pointer to TFormula in case when user define formula.
static Double_t DerivativeError()
Static function returning the error of the last call to the of Derivative's functions.
virtual void Paint(Option_t *option="")
Paint this function with its current attributes.
std::vector< Double_t > fParMin
Array of lower limits of the fNpar parameters.
static void InitStandardFunctions()
Create the basic function objects.
Double_t fMaximum
Maximum value for plotting.
virtual void SetNpx(Int_t npx=100)
Set the number of points used to draw the function.
virtual Double_t * GetParameters() const
Double_t fMinimum
Minimum value for plotting.
virtual Int_t DistancetoPrimitive(Int_t px, Int_t py)
Compute distance from point px,py to a function.
int TermCoeffLength(TString &term)
static Bool_t fgRejectPoint
virtual ~TF1()
TF1 default destructor.
virtual void SetNumberFitPoints(Int_t npfits)
virtual Double_t EvalPar(const Double_t *x, const Double_t *params=0)
Evaluate function with given coordinates and parameters.
TF1 & operator=(const TF1 &rhs)
Operator =.
virtual Int_t GetNumberFreeParameters() const
Return the number of free parameters.
Double_t fChisquare
Function fit chisquare.
virtual void SavePrimitive(std::ostream &out, Option_t *option="")
Save primitive as a C++ statement(s) on output stream out.
virtual void InitArgs(const Double_t *x, const Double_t *params)
Initialize parameters addresses.
virtual Double_t IntegralMultiple(Int_t n, const Double_t *a, const Double_t *b, Int_t maxpts, Double_t epsrel, Double_t epsabs, Double_t &relerr, Int_t &nfnevl, Int_t &ifail)
This function computes, to an attempted specified accuracy, the value of the integral.
Bool_t fNormalized
Normalization option (false by default)
virtual void SetMinimum(Double_t minimum=-1111)
Set the minimum value along Y for this function In case the function is already drawn,...
virtual void GetRange(Double_t *xmin, Double_t *xmax) const
Return range of a generic N-D function.
virtual void Print(Option_t *option="") const
Print TNamed name and title.
virtual Double_t IntegralFast(Int_t num, Double_t *x, Double_t *w, Double_t a, Double_t b, Double_t *params=0, Double_t epsilon=1e-12)
Gauss-Legendre integral, see CalcGaussLegendreSamplingPoints.
virtual const char * GetParName(Int_t ipar) const
Int_t fNpx
Number of points used for the graphical representation.
virtual void SetParLimits(Int_t ipar, Double_t parmin, Double_t parmax)
Set limits for parameter ipar.
void DoInitialize(EAddToList addToGlobList)
Common initialization of the TF1.
virtual Double_t GetX(Double_t y, Double_t xmin=0, Double_t xmax=0, Double_t epsilon=1.E-10, Int_t maxiter=100, Bool_t logx=false) const
Returns the X value corresponding to the function value fy for (xmin<x<xmax).
static TF1 * GetCurrent()
Static function returning the current function being processed.
virtual Int_t GetQuantiles(Int_t nprobSum, Double_t *q, const Double_t *probSum)
Compute Quantiles for density distribution of this function.
virtual void SetParName(Int_t ipar, const char *name)
Set name of parameter number ipar.
virtual Double_t GetSave(const Double_t *x)
Get value corresponding to X in array of fSave values.
static std::atomic< Bool_t > fgAbsValue
virtual void Draw(Option_t *option="")
Draw this function with its current attributes.
TF1()
TF1 default constructor.
virtual TF1 * DrawCopy(Option_t *option="") const
Draw a copy of this function with its current attributes.
std::vector< Double_t > fParMax
Array of upper limits of the fNpar parameters.
virtual Bool_t IsValid() const
Return kTRUE if the function is valid.
static Bool_t DefaultAddToGlobalList(Bool_t on=kTRUE)
Static method to add/avoid to add automatically functions to the global list (gROOT->GetListOfFunctio...
std::vector< Double_t > fSave
Array of fNsave function values.
static Bool_t RejectedPoint()
See TF1::RejectPoint above.
void DefineNSUMTerm(TObjArray *newFuncs, TObjArray *coeffNames, TString &fullFormula, TString &formula, int termStart, int termEnd, Double_t xmin, Double_t xmax)
Helper functions for NSUM parsing.
std::vector< Double_t > fGamma
! Array gamma.
TObject * Clone(const char *newname=0) const
Make a complete copy of the underlying object.
TObject * fParent
! Parent object hooking this function (if one)
virtual Double_t GetMinMaxNDim(Double_t *x, Bool_t findmax, Double_t epsilon=0, Int_t maxiter=0) const
Find the minimum of a function of whatever dimension.
virtual void DrawF1(Double_t xmin, Double_t xmax, Option_t *option="")
Draw function between xmin and xmax.
Bool_t ComputeCdfTable(Option_t *opt)
Compute the cumulative function at fNpx points between fXmin and fXmax.
virtual void SetParameters(const Double_t *params)
virtual TObject * DrawIntegral(Option_t *option="al")
Draw integral of this function.
std::vector< Double_t > fIntegral
! Integral of function binned on fNpx bins
virtual void SetParNames(const char *name0="p0", const char *name1="p1", const char *name2="p2", const char *name3="p3", const char *name4="p4", const char *name5="p5", const char *name6="p6", const char *name7="p7", const char *name8="p8", const char *name9="p9", const char *name10="p10")
Set up to 10 parameter names.
virtual TObject * DrawDerivative(Option_t *option="al")
Draw derivative of this function.
virtual Double_t Eval(Double_t x, Double_t y=0, Double_t z=0, Double_t t=0) const
Evaluate this function.
virtual Double_t GetMaximum(Double_t xmin=0, Double_t xmax=0, Double_t epsilon=1.E-10, Int_t maxiter=100, Bool_t logx=false) const
Returns the maximum value of the function.
std::unique_ptr< TF1Parameters > fParams
Pointer to Function parameters object (exists only for not-formula functions)
virtual void SetParameter(Int_t param, Double_t value)
virtual void Save(Double_t xmin, Double_t xmax, Double_t ymin, Double_t ymax, Double_t zmin, Double_t zmax)
Save values of function in array fSave.
@ kFormula
Formula functions which can be stored,.
@ kPtrScalarFreeFcn
Pointer to scalar free function,.
@ kTemplScalar
TemplScalar functors evaluating on scalar parameters.
@ kTemplVec
Vectorized free functions or TemplScalar functors evaluating on vectorized parameters,...
@ kInterpreted
Interpreted functions constructed by name,.
virtual void SetSavedPoint(Int_t point, Double_t value)
Restore value of function saved at point.
virtual void FixParameter(Int_t ipar, Double_t value)
Fix the value of a parameter The specified value will be used in a fit operation.
Double_t fXmax
Upper bounds for the range.
virtual Double_t GetMaximumX(Double_t xmin=0, Double_t xmax=0, Double_t epsilon=1.E-10, Int_t maxiter=100, Bool_t logx=false) const
Returns the X value corresponding to the maximum value of the function.
virtual Int_t GetNdim() const
virtual Double_t GetXmin() const
virtual Double_t Derivative3(Double_t x, Double_t *params=0, Double_t epsilon=0.001) const
Returns the third derivative of the function at point x, computed by Richardson's extrapolation metho...
virtual Bool_t AddToGlobalList(Bool_t on=kTRUE)
Add to global list of functions (gROOT->GetListOfFunctions() ) return previous status (true if the fu...
virtual Double_t IntegralOneDim(Double_t a, Double_t b, Double_t epsrel, Double_t epsabs, Double_t &err)
Return Integral of function between a and b using the given parameter values and relative and absolut...
virtual void Browse(TBrowser *b)
Browse.
virtual Double_t GetParameter(Int_t ipar) const
virtual Double_t IntegralError(Double_t a, Double_t b, const Double_t *params=0, const Double_t *covmat=0, Double_t epsilon=1.E-2)
Return Error on Integral of a parametric function between a and b due to the parameter uncertainties ...
virtual Int_t GetParNumber(const char *name) const
TAxis * GetXaxis() const
Get x axis of the function.
virtual void ExecuteEvent(Int_t event, Int_t px, Int_t py)
Execute action corresponding to one event.
A TGraph is an object made of two arrays X and Y with npoints each.
virtual void Draw(Option_t *chopt="")
Draw this graph with its current attributes.
1-D histogram with a double per channel (see TH1 documentation)}
TH1 is the base class of all histogram classes in ROOT.
virtual void SetDirectory(TDirectory *dir)
By default, when a histogram is created, it is added to the list of histogram objects in the current ...
virtual void SetTitle(const char *title)
See GetStatOverflows for more information.
virtual void Print(Option_t *option="") const
Print some global quantities for this histogram.
virtual Double_t GetBinCenter(Int_t bin) const
Return bin center for 1D histogram.
virtual Double_t GetMinimumStored() const
@ kLogX
X-axis in log scale.
@ kNoStats
Don't draw stats box.
@ kIsZoomed
Bit set when zooming on Y axis.
TAxis * GetXaxis()
Get the behaviour adopted by the object about the statoverflows. See EStatOverflows for more informat...
TObject * Clone(const char *newname=0) const
Make a complete copy of the underlying object.
virtual Double_t GetMaximum(Double_t maxval=FLT_MAX) const
Return maximum value smaller than maxval of bins in the range, unless the value has been overridden b...
virtual void SetMaximum(Double_t maximum=-1111)
virtual void SetMinimum(Double_t minimum=-1111)
virtual void SetBinContent(Int_t bin, Double_t content)
Set bin content see convention for numbering bins in TH1::GetBin In case the bin number is greater th...
virtual Double_t GetMaximumStored() const
virtual void ExecuteEvent(Int_t event, Int_t px, Int_t py)
Execute action corresponding to one event.
virtual void Paint(Option_t *option="")
Control routine to paint any kind of histograms.
virtual Double_t GetMinimum(Double_t minval=-FLT_MAX) const
Return minimum value larger than minval of bins in the range, unless the value has been overridden by...
virtual Int_t DistancetoPrimitive(Int_t px, Int_t py)
Compute distance from point px,py to a line.
Method or function calling interface.
The TNamed class is the base class for all named ROOT classes.
virtual void Copy(TObject &named) const
Copy this to obj.
virtual void SetTitle(const char *title="")
Set the title of the TNamed.
virtual const char * GetTitle() const
Returns title of object.
virtual TObject * Clone(const char *newname="") const
Make a clone of an object using the Streamer facility.
virtual const char * GetName() const
Returns name of object.
TObject * At(Int_t idx) const
Collectable string class.
Mother of all ROOT objects.
R__ALWAYS_INLINE Bool_t TestBit(UInt_t f) const
virtual void RecursiveRemove(TObject *obj)
Recursively remove this object from a list.
virtual void Warning(const char *method, const char *msgfmt,...) const
Issue warning message.
virtual TObject * FindObject(const char *name) const
Must be redefined in derived classes.
virtual void AppendPad(Option_t *option="")
Append graphics object to current pad.
void SetBit(UInt_t f, Bool_t set)
Set or unset the user status bits as specified in f.
virtual Bool_t InheritsFrom(const char *classname) const
Returns kTRUE if object inherits from class "classname".
virtual void Error(const char *method, const char *msgfmt,...) const
Issue error message.
@ kCanDelete
if object in a list can be deleted
virtual void Info(const char *method, const char *msgfmt,...) const
Issue info message.
This is the base class for the ROOT Random number generators.
virtual Double_t Uniform(Double_t x1=1)
Returns a uniform deviate on the interval (0, x1).
virtual Double_t Rndm()
Machine independent random number generator.
void ToLower()
Change string to lower-case.
Ssiz_t First(char c) const
Find first occurrence of a character c.
const char * Data() const
TString & ReplaceAll(const TString &s1, const TString &s2)
void ToUpper()
Change string to upper case.
TString & Append(const char *cs)
static TString Format(const char *fmt,...)
Static method which formats a string using a printf style format descriptor and return a TString.
Bool_t Contains(const char *pat, ECaseCompare cmp=kExact) const
Color_t GetFuncColor() const
Width_t GetFuncWidth() const
Style_t GetFuncStyle() const
TVirtualPad is an abstract base class for the Pad and Canvas classes.
virtual TVirtualPad * GetSelectedPad() const =0
virtual TVirtualPad * cd(Int_t subpadnumber=0)=0
@ kGAUSS
simple Gauss integration method with fixed rule
@ kADAPTIVE
adaptive multi-dimensional integration
Namespace for new Math classes and functions.
double IntegralError(TF1 *func, Int_t ndim, const double *a, const double *b, const double *params, const double *covmat, double epsilon)
tbb::task_arena is an alias of tbb::interface7::task_arena, which doesn't allow to forward declare tb...
Short_t Max(Short_t a, Short_t b)
Double_t Prob(Double_t chi2, Int_t ndf)
Computation of the probability for a certain Chi-squared (chi2) and number of degrees of freedom (ndf...
Double_t QuietNaN()
Returns a quiet NaN as defined by IEEE 754
Double_t Sqrt(Double_t x)
LongDouble_t Power(LongDouble_t x, LongDouble_t y)
Bool_t AreEqualRel(Double_t af, Double_t bf, Double_t relPrec)
Long64_t BinarySearch(Long64_t n, const T *array, T value)
Double_t Log10(Double_t x)
Double_t Infinity()
Returns an infinity as defined by the IEEE standard.
void Streamer(TBuffer &b, Int_t version, UInt_t start, UInt_t count, const TClass *onfile_class=0)
Stream a class object.
virtual TF1FunctorPointer * Clone() const =0