TUnuranMultiContDist class describing multi dimensional continuous distributions.
It is used by TUnuran to generate a set of random numbers according to this distribution via TUnuran::Sample(double *). The class can be constructed from a multi-dimensional function (TF1 pointer, which can be actually also a TF2 or a TF3). It provides a method to set the domain of the distribution ( SetDomain ) which will correspond to the range of the generated random numbers. By default the domain is [(-inf,-inf,...)(+inf,+inf,...)], indipendently of the range set in the TF1 class used to construct the distribution.
The derivatives of the pdf which are used by some UNURAN methods are estimated numerically in the Derivative() method. Some extra information (like distribution mode) can be set using SetMode. Some methods require instead of the pdf the log of the pdf. This can also be controlled by setting a flag when constructing this class.
Definition at line 47 of file TUnuranMultiContDist.h.
TUnuranMultiContDist::TUnuranMultiContDist |
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TF1 * |
func = 0 , |
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unsigned int |
dim = 0 , |
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bool |
isLogPdf = false |
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Constructor from a TF1 object representing the Probability density function.
The derivatives of the Pdf are estimated, when required by the UNURAN algorithm, using numerical derivation. If a value of dim 0 is passed , the dimension of the function is taken from TF1::GetNdim(). This works only for 2D and 3D (for TF2 and TF3 objects).
Definition at line 29 of file TUnuranMultiContDist.cxx.
void TUnuranMultiContDist::SetDomain |
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const double * |
xmin, |
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const double * |
xmax |
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inline |
set the domain of the distribution giving an array of minimum and maximum values By default otherwise the domain is undefined, i.e.
is [-inf,+inf] To remove the domain do a SetDomain(0,0). There is no possibility to have a domain defined in only one coordinate. Use instead inf or DOUBLE_MAX to specify un infinite domain in that coordinate
Definition at line 103 of file TUnuranMultiContDist.h.