std::binomial_distribution<IntType>::operator()

 

C++

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Named requirements

Feature test macros (C++20)

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Technical specifications

Symbols index

External libraries

 

Numerics library

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gcd (C++17)

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Pseudo-random number generation

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uniform_random_bit_generator (C++20)

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linear_congruential_engine (C++11)

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independent_bits_engine (C++11)

shuffle_order_engine (C++11)

Non-deterministic generator

random_device (C++11)

Distributions

Uniform distributions

uniform_int_distribution (C++11)

uniform_real_distribution (C++11)

generate_canonical (C++11)

Bernoulli distributions

bernoulli_distribution (C++11)

binomial_distribution (C++11)

negative_binomial_distribution (C++11)

geometric_distribution (C++11)

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poisson_distribution (C++11)

exponential_distribution (C++11)

gamma_distribution (C++11)

weibull_distribution (C++11)

extreme_value_distribution (C++11)

Normal distributions

normal_distribution (C++11)

lognormal_distribution (C++11)

chi_squared_distribution (C++11)

cauchy_distribution (C++11)

fisher_f_distribution (C++11)

student_t_distribution (C++11)

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discrete_distribution (C++11)

piecewise_constant_distribution (C++11)

piecewise_linear_distribution (C++11)

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seed_seq (C++11)

C library

rand

srand

RAND_MAX

 

std::binomial_distribution

Member functions

binomial_distribution::binomial_distribution (C++11)

binomial_distribution::reset (C++11)

Generation

binomial_distribution::operator() (C++11)

Characteristics

binomial_distribution::pbinomial_distribution::t (C++11)(C++11)

binomial_distribution::param (C++11)

binomial_distribution::min (C++11)

binomial_distribution::max (C++11)

Non-member functions

operator==operator!= (C++11)(C++11)(until C++20)

operator<<operator>> (C++11)(C++11)

 

template< class Generator > result_type operator()( Generator& g );	(1)	(since C++11)
template< class Generator > result_type operator()( Generator& g, const param_type& params );	(2)	(since C++11)

Generates random numbers that are distributed according to the associated probability function. The entropy is acquired by calling g.operator().

The first version uses the associated parameter set, the second version uses params. The associated parameter set is not modified.

Parameters

g	-	an uniform random bit generator object
params	-	distribution parameter set to use instead of the associated one
Type requirements
- Generator must meet the requirements of UniformRandomBitGenerator.

Return value

The generated random number.

Complexity

Amortized constant number of invocations of g.operator().