Description
Class that can be used to generate sample numbers according to a probability distribution.
Probability distribution is defined with x,y points, at least a dozen of pairs to be more precise in the reconstruction of probability. It uses the "Smirnov transform" (inverse probability integral transform)
#include <ChDistribution.h>
Public Member Functions  
ChContinuumDistribution (ChVectorDynamic<> &mx, ChVectorDynamic<> &my)  
Create an object that can be used to generate sample numbers according to a generic probability distribution. More...  
virtual double  GetRandom () override 
Compute a random value whose probability is the probability curve that has been entered with x,y points during the creation of this object. More...  
const ChVectorDynamic &  GetProbabilityXpoints () const 
const ChVectorDynamic &  GetProbabilityYpoints () const 
const ChVectorDynamic &  GetProbabilityCDFcumulativeX () const 
const ChVectorDynamic &  GetProbabilityCDFcumulativeY () const 
Public Member Functions inherited from chrono::ChDistribution  
virtual  ~ChDistribution () 
Default destructor for distribution object.  
Constructor & Destructor Documentation
chrono::ChContinuumDistribution::ChContinuumDistribution  (  ChVectorDynamic<> &  mx, 
ChVectorDynamic<> &  my  
) 
Create an object that can be used to generate sample numbers according to a generic probability distribution.
The probability distribution is a curve represented by simplified x,y pairs of points. The integral of the probability curve must be unit, i.e normalized (but if not, a normalization will be enforced) Note: too few points means approximate results, but too many points might give a small performance overhead when calling GetRandom().
Member Function Documentation

overridevirtual 
Compute a random value whose probability is the probability curve that has been entered with x,y points during the creation of this object.
Implements chrono::ChDistribution.