std::discrete_distribution::discrete_distribution
| discrete_distribution(); |
(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, |
(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()).
count weights that are generated using function unary_op. Each of the weights is equal to wi = unary_op(xmin + δ/2 + i · δ), where δ =
| (xmax − xmin) |
| count |
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 &. |
| params | - | the distribution parameter set |
| Type requirements | ||
-InputIt must meet the requirements of InputIterator.
| ||