 Rosetta  2020.37
numeric::random::DistributionSampler< T > Class Template Reference

`#include <DistributionSampler.hh>`

Inheritance diagram for numeric::random::DistributionSampler< T >: [legend]

## 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 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). More...

const Tdistribution () 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.

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).

## Member Data Documentation

template<typename T >
 T numeric::random::DistributionSampler< T >::distribution_
private

Distribution from which to draw samples.

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