Generic generator of random vectors using sampling with given PDF. More...
#include <VectorRng.h>
Inheritance diagram for VectorPdfRng< TScalarRng >:
Public Member Functions | |
| VectorPdfRng (const Box &box, const Function< Float(const Vector &)> &pdf=[](const Vector &) { return 1._f;}, const Function< Float(const Vector &)> &jacobian=[](const Vector &) { return 1._f;}, const Float maximalPdf=0._f) | |
| Vector | operator() () |
 Public Member Functions inherited from Noncopyable | |
| Noncopyable ()=default | |
| Noncopyable (const Noncopyable &)=delete | |
| Noncopyable (Noncopyable &&)=default | |
| Noncopyable & | operator= (const Noncopyable &)=delete |
| Noncopyable & | operator= (Noncopyable &&)=default |
Detailed Description
template<typename TScalarRng>
class VectorPdfRng< TScalarRng >
Generic generator of random vectors using sampling with given PDF.
PDF does NOT have to be normalized (integral does not have to be 1).
- Todo:
- make jacobian work, create few basic coordinate systems
Definition at line 60 of file VectorRng.h.
Constructor & Destructor Documentation
◆ VectorPdfRng()
template<typename TScalarRng >
|
inline |
Construct a random vector generator.
- Parameters
-
box bounds for minimal and maximal random values pdf Used PDF. Default value means uniform sampling. Does not have to be normalized, but must return strictly non-negative values. jacobian Used Jacobian if other coordinate system is to be used. Default is cartesian system. maximalPdf Maximal value of given PDF. By default, the value is estimated from the function itself.
- Todo:
- should depend on jacobian
- Todo:
- jacobian
Definition at line 76 of file VectorRng.h.
Member Function Documentation
◆ operator()()
template<typename TScalarRng >
|
inline |
Definition at line 97 of file VectorRng.h.
The documentation for this class was generated from the following file:
- /home/pavel/projects/astro/sph/src/core/math/rng/VectorRng.h
