Classes¶

struct param_type

Public Types¶

typedef _RealType result_type

Public Member Functions¶

uniform_real_distribution ()
Constructs a uniform_real_distribution object. uniform_real_distribution (_RealType __a, _RealType __b=_RealType(1))
Constructs a uniform_real_distribution object. uniform_real_distribution (const param_type &__p)
template<typename _ForwardIterator , typename _UniformRandomNumberGenerator > void __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng)
template<typename _ForwardIterator , typename _UniformRandomNumberGenerator > void __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng, const param_type &__p)
template<typename _UniformRandomNumberGenerator > void __generate (result_type *__f, result_type *__t, _UniformRandomNumberGenerator &__urng, const param_type &__p)
result_type a () const
result_type b () const
result_type max () const
Returns the inclusive upper bound of the distribution range. result_type min () const
Returns the inclusive lower bound of the distribution range. template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng)
Generating functions. template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng, const param_type &__p)
param_type param () const
Returns the parameter set of the distribution. void param (const param_type &__param)
Sets the parameter set of the distribution. void reset ()
Resets the distribution state.

Friends¶

bool operator== (const uniform_real_distribution &__d1, const uniform_real_distribution &__d2)
Return true if two uniform real distributions have the same parameters.

template<typename _RealType = double>¶

class std::uniform_real_distribution< _RealType >" Uniform continuous distribution for random numbers.

A continuous random distribution on the range [min, max) with equal probability throughout the range. The URNG should be real-valued and deliver number in the range [0, 1).

template<typename _RealType = double> typedef _RealType std::uniform_real_distribution< _RealType >::result_type¶

The type of the range of the distribution.

template<typename _RealType = double> std::uniform_real_distribution< _RealType >::uniform_real_distribution () [inline]¶

Constructs a uniform_real_distribution object. The lower bound is set to 0.0 and the upper bound to 1.0

template<typename _RealType = double> std::uniform_real_distribution< _RealType >::uniform_real_distribution (_RealType __a, _RealType __b = _RealType(1)) [inline], [explicit]¶

Constructs a uniform_real_distribution object.

Parameters

template<typename _RealType = double> result_type std::uniform_real_distribution< _RealType >::max () const [inline]¶

Returns the inclusive upper bound of the distribution range.

template<typename _RealType = double> result_type std::uniform_real_distribution< _RealType >::min () const [inline]¶

Returns the inclusive lower bound of the distribution range.

template<typename _RealType = double> template<typename _UniformRandomNumberGenerator > result_type std::uniform_real_distribution< _RealType >::operator() (_UniformRandomNumberGenerator & __urng) [inline]¶

Generating functions.

template<typename _RealType = double> param_type std::uniform_real_distribution< _RealType >::param () const [inline]¶

Returns the parameter set of the distribution.

Referenced by std::operator>>().

template<typename _RealType = double> void std::uniform_real_distribution< _RealType >::param (const param_type & __param) [inline]¶

Sets the parameter set of the distribution.

Parameters

template<typename _RealType = double> void std::uniform_real_distribution< _RealType >::reset () [inline]¶

Resets the distribution state. Does nothing for the uniform real distribution.

template<typename _RealType = double> bool operator== (const uniform_real_distribution< _RealType > & __d1, const uniform_real_distribution< _RealType > & __d2) [friend]¶

Return true if two uniform real distributions have the same parameters.