celeritas::UniformRealDistribution< RealType > Class Template Reference

Sample from a uniform distribution. More...

#include <UniformRealDistribution.hh>

Public Types
Type aliases
using	real_type = RealType
using	result_type = real_type

Public Member Functions
CELER_CONSTEXPR_FUNCTION	UniformRealDistribution ()
	Construct on the interval [0, 1).
CELER_CONSTEXPR_FUNCTION	UniformRealDistribution (real_type a, real_type b)
	Construct on the interval [a, b).
template<class Generator >
CELER_FUNCTION result_type	operator() (Generator &rng) const
CELER_CONSTEXPR_FUNCTION real_type	a () const
	Get the lower bound of the distribution.
CELER_CONSTEXPR_FUNCTION real_type	b () const
	Get the upper bound of the distribution.
template<class Generator >
CELER_FUNCTION auto	operator() (Generator &rng) const -> result_type
	Sample a random number according to the distribution.

Detailed Description

template<class RealType = ::celeritas::real_type>
class celeritas::UniformRealDistribution< RealType >

Sample from a uniform distribution.

This distribution is defined between two arbitrary real numbers a and b , and has a flat PDF between the two values. It is allowable for the two numbers to have reversed order. The normalized PDF is:

\[ f(x; a, b) = \frac{1}{b - a} \quad \mathrm{for} \ a \le x < b \]

which integrated into a CDF and inverted gives a sample:

\[ x = (b - a) \xi + a \]

Constructor & Destructor Documentation

UniformRealDistribution() [1/2]

template<class RealType >

CELER_CONSTEXPR_FUNCTION celeritas::UniformRealDistribution< RealType >::UniformRealDistribution

(

)

Construct on the interval [0, 1).

This constructor is generally unused because it's simpler and more efficient to directly call generate_canonical. We leave it for compatibility with the standard.

UniformRealDistribution() [2/2]

template<class RealType >

CELER_CONSTEXPR_FUNCTION celeritas::UniformRealDistribution< RealType >::UniformRealDistribution	(	real_type	a,
		real_type	b
	)

Construct on the interval [a, b).

Note that it's allowable for these two to be out of order to support other generators (inverse square, power) where they may be inverted and out of order.

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

• UniformRealDistribution.hh