std::gamma_distribution::operator()

 

C++

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Technical Specifications

 

Numerics library

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iota (C++11)

accumulate

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Pseudo-random number generation

Engines and engine adaptors

linear_congruential_engine (C++11)

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shuffle_order_engine (C++11)

Generators

random_device (C++11)

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Uniform distributions

uniform_int_distribution (C++11)

uniform_real_distribution (C++11)

generate_canonical (C++11)

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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)

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normal_distribution (C++11)

lognormal_distribution (C++11)

chi_squared_distribution (C++11)

cauchy_distribution (C++11)

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student_t_distribution (C++11)

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discrete_distribution (C++11)

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piecewise_linear_distribution (C++11)

Seed Sequences

seed_seq (C++11)

C library

rand

srand

RAND_MAX

 

std::gamma_distribution

Member functions

gamma_distribution::gamma_distribution

gamma_distribution::reset

Generation

gamma_distribution::operator()

Characteristics

gamma_distribution::alphagamma_distribution::beta

gamma_distribution::param

gamma_distribution::min

gamma_distribution::max

Non-member functions

operator==operator!=

operator<<operator>>

 

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 number generator object
params	-	distribution parameter set to use instead of the associated one
Type requirements
- Generator must meet the requirements of UniformRandomNumberGenerator.

Return value

The generated random number.

Complexity

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