Scroll to navigation

std::weibull_distribution< _RealType >(3cxx) std::weibull_distribution< _RealType >(3cxx)

NAME

std::weibull_distribution< _RealType > - A weibull_distribution random number distribution.

SYNOPSIS

Classes


struct param_type

Public Types


typedef _RealType result_type

Public Member Functions


weibull_distribution (_RealType __a, _RealType __b=_RealType(1))
weibull_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
Return the $a$ parameter of the distribution. _RealType b () const
Return the $b$ parameter of the distribution. 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 weibull_distribution &__d1, const weibull_distribution &__d2)
Return true if two Weibull distributions have the same parameters.

Detailed Description

template<typename _RealType = double>

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

The formula for the normal probability density function is: p(x|lpha,ac{lpha}{ac{x}{ac{x}{

Definition at line 4854 of file random.h.

Author

Generated automatically by Doxygen for libstdc++ from the source code.
Sun Feb 7 2021 libstdc++