std::discrete_distribution<IntType>::discrete_distribution
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< cpp | numeric | random | 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) |
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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
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 wi = unary_op(xmin + δ(i + 0.5)), where δ =
and i ∈ {0, ..., count − 1}. xmin and xmax must be such that δ > 0. If count == 0
| (xmax − xmin) |
| count |
5) Constructs the distribution with params as the distribution parameters.
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 LegacyInputIterator
|
||