numeric::random::DistributionSampler< T > Class Template Reference

#include <DistributionSampler.hh>

Public Member Functions
	DistributionSampler (T &distribution)
	Creates a new instance that allows samples to be drawn randomly from <distribution> More...
double	sample ()
	Returns a random value drawn from the distribution. More...
const T &	distribution () const
	Returns the distribution from which this sampler generates values. More...

Private Attributes
T	distribution_
	Distribution from which to draw samples. More...

Constructor & Destructor Documentation

template<typename T >

numeric::random::DistributionSampler< T >::DistributionSampler ( T &  distribution )

inlineexplicit

Creates a new instance that allows samples to be drawn randomly from <distribution>

Member Function Documentation

template<typename T >

const T& numeric::random::DistributionSampler< T >::distribution ( ) const

inline

Returns the distribution from which this sampler generates values.

References numeric::random::DistributionSampler< T >::distribution_.

Referenced by numeric::random::DistributionSampler< T >::sample().

template<typename T >

double numeric::random::DistributionSampler< T >::sample ( )

inline

Returns a random value drawn from the distribution.

A general method to generate random numbers from an arbitrary distribution that has a cdf without jumps is to use the inverse function to the cdf: G(y)=F^{-1}(y). If u(1), ..., u(n) are random numbers from the uniform on (0,1) distribution then G(u(1)), ..., G(u(n)) is a random sample from the distribution with cdf F(x).

References numeric::random::DistributionSampler< T >::distribution(), and numeric::random::uniform().

Member Data Documentation

template<typename T >

T numeric::random::DistributionSampler< T >::distribution_

private

Distribution from which to draw samples.

Referenced by numeric::random::DistributionSampler< T >::distribution().

---

The documentation for this class was generated from the following file:

• src/numeric/random/DistributionSampler.hh