12#ifndef ROOT_TUnuranSampler
13#define ROOT_TUnuranSampler
61 using DistSampler::SetFunction;
66 SetFunction<const ROOT::Math::IGenFunction>(func, 1);
77 bool Init(
const char * algo =
"");
97 void SetSeed(
unsigned int seed);
151 bool SampleBin(
double prob,
double & value,
double *error = 0);
DistSampler options class.
Interface class for generic sampling of a distribution, i.e.
const double * Sample()
sample one event and rerturning array x with coordinates
Interface (abstract class) for generic functions objects of one-dimension Provides a method to evalua...
This is the base class for the ROOT Random number generators.
TUnuranSampler class class implementing the ROOT::Math::DistSampler interface using the UNU....
TRandom * GetRandom()
Get the random engine used by the sampler.
void SetRandom(TRandom *r)
Set the random engine to be used Needs to be called before Init to have effect.
virtual ~TUnuranSampler()
virtual destructor
bool SampleBin(double prob, double &value, double *error=0)
sample one bin given an estimated of the pdf in the bin (this can be function value at the center or ...
void SetPrintLevel(int level)
Set the print level (if level=-1 use default)
bool DoInitND(const char *algo)
void SetSeed(unsigned int seed)
Set the random seed for the TRandom instances used by the sampler classes Needs to be called before I...
const ROOT::Math::IGenFunction * fFunc1D
void SetArea(double area)
set the normalization area of distribution implemented by derived classes if needed
bool DoInit1D(const char *algo)
void SetMode(double mode)
set the mode of the distribution (could be useful to some methods) implemented by derived classes if ...
bool Init(const char *algo="")
initialize the generators with the given algorithm If no algorithm is passed used the default one for...
TUnuranSampler()
default constructor
void SetFunction(const ROOT::Math::IGenFunction &func)
set the parent function distribution to use for random sampling (one dim case)
double Sample1D()
sample one event in one dimension better implementation could be provided by the derived classes
bool DoInitDiscrete1D(const char *algo)
TFitResultPtr Fit(FitObject *h1, TF1 *f1, Foption_t &option, const ROOT::Math::MinimizerOptions &moption, const char *goption, ROOT::Fit::DataRange &range)
Namespace for new Math classes and functions.