Classes¶

struct param_type

Public Types¶

typedef _RealType result_type

Public Member Functions¶

cauchy_distribution (_RealType __a, _RealType __b=1.0)
cauchy_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)
_RealType a () const
_RealType b () const
result_type max () const
Returns the least upper bound value of the distribution. result_type min () const
Returns the greatest lower bound value of the distribution. 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 cauchy_distribution &__d1, const cauchy_distribution &__d2)
Return true if two Cauchy distributions have the same parameters.

template<typename _RealType = double>¶

class std::cauchy_distribution< _RealType >"A cauchy_distribution random number distribution.

The formula for the normal probability mass function is $p(x|a,b) = (i
b (1 + (ac{x-a}{b})^2))^{-1}$

Since

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

The type of the range of the distribution.

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

Returns the least upper bound value of the distribution.

References std::numeric_limits< _Tp >::max().

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

Returns the greatest lower bound value of the distribution.

References std::numeric_limits< _Tp >::lowest().

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

Generating functions.

References std::cauchy_distribution< _RealType >::operator()().

Referenced by std::cauchy_distribution< _RealType >::operator()().

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

Returns the parameter set of the distribution.

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

Sets the parameter set of the distribution.

Parameters

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

Resets the distribution state.

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

Return true if two Cauchy distributions have the same parameters.