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Showing content from https://timsong-cpp.github.io/cppwp/n4659/rand.synopsis below:

[rand.synopsis]

29 Numerics library [numerics] 29.6 Random number generation [rand] 29.6.2 Header <random> synopsis [rand.synopsis]
#include <initializer_list>

namespace std {
    template<class UIntType, UIntType a, UIntType c, UIntType m>
    class linear_congruential_engine;

    template<class UIntType, size_t w, size_t n, size_t m, size_t r,
           UIntType a, size_t u, UIntType d, size_t s,
           UIntType b, size_t t,
           UIntType c, size_t l, UIntType f>
    class mersenne_twister_engine;

    template<class UIntType, size_t w, size_t s, size_t r>
    class subtract_with_carry_engine;

    template<class Engine, size_t p, size_t r>
    class discard_block_engine;

    template<class Engine, size_t w, class UIntType>
    class independent_bits_engine;

    template<class Engine, size_t k>
    class shuffle_order_engine;

    using minstd_rand0  = see below;
  using minstd_rand   = see below;
  using mt19937       = see below;
  using mt19937_64    = see below;
  using ranlux24_base = see below;
  using ranlux48_base = see below;
  using ranlux24      = see below;
  using ranlux48      = see below;
  using knuth_b       = see below;

  using default_random_engine = see below;

    class random_device;

    class seed_seq;

    template<class RealType, size_t bits, class URBG>
    RealType generate_canonical(URBG& g);

    template<class IntType = int>
    class uniform_int_distribution;

    template<class RealType = double>
    class uniform_real_distribution;

    class bernoulli_distribution;

    template<class IntType = int>
    class binomial_distribution;

    template<class IntType = int>
    class geometric_distribution;

    template<class IntType = int>
    class negative_binomial_distribution;

    template<class IntType = int>
    class poisson_distribution;

    template<class RealType = double>
    class exponential_distribution;

    template<class RealType = double>
    class gamma_distribution;

    template<class RealType = double>
    class weibull_distribution;

    template<class RealType = double>
    class extreme_value_distribution;

    template<class RealType = double>
    class normal_distribution;

    template<class RealType = double>
    class lognormal_distribution;

    template<class RealType = double>
    class chi_squared_distribution;

    template<class RealType = double>
    class cauchy_distribution;

    template<class RealType = double>
    class fisher_f_distribution;

    template<class RealType = double>
    class student_t_distribution;

    template<class IntType = int>
    class discrete_distribution;

    template<class RealType = double>
    class piecewise_constant_distribution;

    template<class RealType = double>
    class piecewise_linear_distribution;
}

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