26 Numerics library [numerics]

26.6 Random number generation [rand]

26.6.8 Random number distribution class templates [rand.dist]

26.6.8.4 Poisson distributions [rand.dist.pois]

26.6.8.4.5 Class template extreme_­value_­distribution [rand.dist.pois.extreme]

1
#
An extreme_­value_­distribution random number distribution produces random numbers x distributed according to the probability density function247 
template<class RealType = double>
  class extreme_value_distribution {
  public:
    // types
    using result_type = RealType;
    using param_type  = unspecified;

    // constructor and reset functions
    extreme_value_distribution() : extreme_value_distribution(0.0) {}
    explicit extreme_value_distribution(RealType a, RealType b = 1.0);
    explicit extreme_value_distribution(const param_type& parm);
    void reset();

    // generating functions
    template<class URBG>
      result_type operator()(URBG& g);
    template<class URBG>
      result_type operator()(URBG& g, const param_type& parm);

    // property functions
    RealType a() const;
    RealType b() const;
    param_type param() const;
    void param(const param_type& parm);
    result_type min() const;
    result_type max() const;
  };
🔗
explicit extreme_value_distribution(RealType a, RealType b = 1.0);
2
#
Preconditions: .
3
#
Remarks: a and b correspond to the respective parameters of the distribution.
🔗
RealType a() const;
4
#
Returns: The value of the a parameter with which the object was constructed.
🔗
RealType b() const;
5
#
Returns: The value of the b parameter with which the object was constructed.
247)
The distribution corresponding to this probability density function is also known (with a possible change of variable) as the Gumbel Type I, the log-Weibull, or the Fisher-Tippett Type I distribution.
⮥