std::discrete_distribution::discrete_distribution
discrete_distribution();
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(1) | (since C++11) |
template< class InputIt >
discrete_distribution( InputIt first, InputIt last ); |
(2) | (since C++11) |
discrete_distribution( std::initializer_list<double> weights );
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(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 );
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(2) | (since C++11) |
Constructs a new distribution object.
1) Default constructor. Constructs the distribution with weights . 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 .
|