Pseudo-random number generation
Uniform random bit generators
Engines and engine adaptors
Non-deterministic generator
Uniform distributions
Bernoulli distributions
Poisson distributions
Normal distributions
Sampling distributions
Seed Sequences
C library
Member functions
Non-member functions
(C++11)(C++11)(until C++20)
(1) (since C++11)
template< class InputIt >
discrete_distribution( InputIt first, InputIt last );
(2) (since C++11)
discrete_distribution( std::initializer_list<double> weights );
(3) (since C++11)
template< class UnaryOperation >

discrete_distribution( std::size_t count, double xmin, double xmax,

                       UnaryOperation unary_op );
(4) (since C++11)
explicit discrete_distribution( const param_type& params );
(5) (since C++11)

Constructs a new distribution object.

1) Default constructor. Constructs the distribution with a single weight p={1}. This distribution will always generate 0.

2) Constructs the distribution with weights in the range [first, last). If first == last, the effects are the same as of the default constructor.

3) Constructs the distribution with weights in weights. Effectively calls discrete_distribution(weights.begin(), weights.end()).

4) Constructs the distribution with count weights that are generated using function unary_op. Each of the weights is equal to w
= unary_op(xmin + δ(i + 0.5))
, where δ =
(xmax − xmin)
and i ∈ {0, ..., count−1}. xmin and xmax must be such that δ > 0. If count == 0 the effects are the same as of the default constructor.

5) Constructs the distribution with params as the distribution parameters.

[edit] Parameters

first, last - the range of elements defining the numbers to use as weights. The type of the elements referred by InputIterator must be convertible to double
weights - initializer list containing the weights
unary_op - unary operation function object that will be applied.

The signature of the function should be equivalent to the following:

 Ret fun(const Type &a);

The signature does not need to have const &.
The type Type must be such that an object of type double can be dereferenced and then implicitly converted to Type. The type Ret must be such that an object of type double can be dereferenced and assigned a value of type Ret. ​

params - the distribution parameter set
Type requirements
InputIt must meet the requirements of LegacyInputIterator.