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std::generate_canonical

Da cppreference.com.
< cpp‎ | numeric‎ | random

 
 
Numeri libreria
Comuni funzioni matematiche
Virgola mobile ambiente
I numeri complessi
Array numerici
Pseudo-casuale generazione
In fase di compilazione aritmetica razionale (C++11)
Generici operazioni numeriche
Original:
Generic numeric operations
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iota(C++11)
accumulate
inner_product
adjacent_difference
partial_sum
 
Pseudo-casuale generazione
Motori e adattatori del motore
Original:
Engines and engine adaptors
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linear_congruential_engine(C++11)
mersenne_twister_engine(C++11)
subtract_with_carry_engine(C++11)
discard_block_engine(C++11)
independent_bits_engine(C++11)
shuffle_order_engine(C++11)
Generatori
Original:
Generators
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random_device(C++11)
Distribuzioni
Original:
Distributions
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Distribuzioni uniformi
Original:
Uniform distributions
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uniform_int_distribution(C++11)
uniform_real_distribution(C++11)
generate_canonical(C++11)
Bernoulli distribuzioni
Original:
Bernoulli distributions
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bernoulli_distribution(C++11)
binomial_distribution(C++11)
negative_binomial_distribution(C++11)
geometric_distribution(C++11)
Poisson distribuzioni
Original:
Poisson distributions
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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)
Distribuzioni normali
Original:
Normal distributions
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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)
Distribuzioni di campionamento
Original:
Sampling distributions
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discrete_distribution(C++11)
piecewise_constant_distribution(C++11)
piecewise_linear_distribution(C++11)
Seed Sequenze
Original:
Seed Sequences
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seed_seq(C++11)
Libreria C
Original:
C library
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rand
srand
RAND_MAX
 
template< class RealType, size_t bits, class Generator >
RealType generate_canonical( Generator& g );
(dal C++11)
Genera un numero casuale in virgola mobile nell'intervallo [0; 1).
Original:
Generates a random floating point number in range [0; 1).
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g() è chiamato come numero di volte necessario a generare abbastanza entropia, cioè a volte meno max(1, ⌈ min(b
1
, b
2
) / log
2
R ⌉)
, dove
Original:
g() is called as many times as needed to generate enough entropy, i.e. at least max(1, ⌈ min(b
1
, b
2
) / log
2
R ⌉)
times, where
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Indice

[modifica] Parametri

g -
generatore di utilizzare per acquisire entropia
Original:
generator to use to acquire entropy
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[modifica] Valore di ritorno

Valore del punto mobile nel range [0; 1).
Original:
Floating point value in range [0; 1).
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[modifica] Eccezioni

Nessuna, ma da quelle generate da g
Original:
None except from those thrown by g
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[modifica] Esempio

produrre numeri casuali con 10 bit di casualità: questo può produrre solo 1024 valori distinti
Original:
produce random numbers with 10 bits of randomness: this may produce only 1024 distinct values
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#include <random>
#include <iostream>
 
int main()
{
    std::random_device rd;
    std::mt19937 gen(rd());
    for(int n=0; n<10; ++n) {
        std::cout << std::generate_canonical<double, 10>(gen) << ' ';
    }
}

Output:

0.208143 0.824147 0.0278604 0.343183 0.0173263 0.864057 0.647037 0.539467 0.0583497 0.609219

[modifica] Vedi anche

produce valori reali uniformemente distribuiti in una vasta gamma
Original:
produces real values evenly distributed across a range
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(classe template) [edit]