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Constructs the distribution.
// default constructor
discrete_distribution();
// constructs using a range of weights, [firstW, lastW)
template<class InputIterator>
discrete_distribution(InputIterator firstW, InputIterator lastW);
// constructs using an initializer list for range of weights
discrete_distribution(initializer_list<double> weightlist);
// constructs using unary operation function
template<class UnaryOperation>
discrete_distribution(size_t count, double xmin, double xmax, UnaryOperation weightfunc);
// constructs from an existing param_type structure
explicit discrete_distribution(const param_type& parm);
Parameters
firstW
The first iterator in the list from which to construct the distribution.lastW
The last iterator in the list from which to construct the distribution (non-inclusive because iterators use an empty element for the end).weightlist
The initializer_list from which to construct the distribution.count
The number of elements in the distribution range. If count==0, equivalent to the default constructor (always generates zero).minx
The lowest value in the distribution range.maxw
The highest value in the distribution range.weightfunc
The object representing the probability function for the distribution. Both the parameter and the return value must be convertible to double.parm
The parameter structure used to construct the distribution.
Remarks
The default constructor constructs an object whose stored probability value has one element with value 1. This will result in a distribution that always generates a zero.
The iterator range constructor,
template<class InputIterator>
discrete_distribution(InputIterator firstW, InputIterator lastW);
constructs a distribution object with weights from iterators over the interval sequence [firstI, lastI).
The initializer list constructor
discrete_distribution(initializer_list<double> weightlist);
constructs a distribution object with weights from the intializer list weightlist.
The constructor defined as
template<class UnaryOperation>
discrete_distribution(size_t count, double xmin, double xmax, UnaryOperation funcweight);
constructs a distribution object whose stored probability value is initialized based on the following rules. If count < 1, n = 1, and as such is equivalent to the default constructor, always generating zero. If count > 0, n = count. Provided 0 < d = (maxw - minw)/n, using d uniform subranges each weight is assigned as follows: weightk = weightfunc(x), where x = xmin + k * d + d/2, for k = 0, ..., n - 1.
The constructor defined as
explicit discrete_distribution(const param_type& parm);
constructs a distribution object using parm as the stored parameter structure.
Requirements
Header: <random>
Namespace: std