chrono::ChContinuumDistribution Class Reference

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>

Inheritance diagram for chrono::ChContinuumDistribution:
Collaboration diagram for chrono::ChContinuumDistribution:

Public Member Functions

 ChContinuumDistribution (ChMatrix<> &mx, ChMatrix<> &my)
 Create an object that can be used to generate sample numbers according to a generic probability distribution. More...
 
virtual double GetRandom ()
 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...
 
ChMatrixGetProbabilityXpoints ()
 
ChMatrixGetProbabilityYpoints ()
 
ChMatrixGetProbabilityCDFcumulativeX ()
 
ChMatrixGetProbabilityCDFcumulativeY ()
 
- Public Member Functions inherited from chrono::ChDistribution
virtual ~ChDistribution ()
 Default destructor for distribution object.
 

Constructor & Destructor Documentation

chrono::ChContinuumDistribution::ChContinuumDistribution ( ChMatrix<> &  mx,
ChMatrix<> &  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

virtual double chrono::ChContinuumDistribution::GetRandom ( )
virtual

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.