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std::generate_canonical

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C++
 
Numerik-Bibliothek
Gemeinsame mathematischen Funktionen
Floating-Point-Umgebung
Komplexe Zahlen
Numerische Arrays
Pseudo-Zufallszahlen
Compile-time rationale Arithmetik (C++11)
Generische numerische Operationen
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Generic numeric operations
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iota(C++11)
accumulate
inner_product
adjacent_difference
partial_sum
 
Pseudo-Zufallszahlen
Motoren und Adaptern
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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)
Generatoren
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Generators
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random_device(C++11)
Ausschüttungen
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Distributions
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Uniform-Distributionen
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Uniform distributions
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uniform_int_distribution(C++11)
uniform_real_distribution(C++11)
generate_canonical(C++11)
Bernoulli-Distributionen
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Bernoulli distributions
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bernoulli_distribution(C++11)
binomial_distribution(C++11)
negative_binomial_distribution(C++11)
geometric_distribution(C++11)
Poisson-Verteilungen
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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)
Normalverteilungen
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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)
Sampling-Distributionen
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Sampling distributions
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discrete_distribution(C++11)
piecewise_constant_distribution(C++11)
piecewise_linear_distribution(C++11)
Seed-Sequenzen
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Seed Sequences
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seed_seq(C++11)
C-Bibliothek
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C library
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rand
srand
RAND_MAX
 
template< class RealType, size_t bits, class Generator >
RealType generate_canonical( Generator& g );
 (seit C++11)
Generiert eine zufällige Gleitkommazahl im Bereich [0; 1) .
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Generates a random floating point number in range [0; 1).
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g() wird so oft wie notwendig, um genannt genügend Entropie zumindest max(1, ⌈ min(b
1, b
2) / log
2 R ⌉) mal dh, wo erzeugen
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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Inhaltsverzeichnis

[Bearbeiten] Parameter

g -
Generator verwenden, um Entropie zu erwerben
Original:
generator to use to acquire entropy
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[Bearbeiten] Rückgabewert

Gleitkomma-Wert im Bereich [0; 1) .
Original:
Floating point value in range [0; 1).
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[Bearbeiten] Ausnahmen

Keine, außer von denen g geworfen
Original:
None except from those thrown by g
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[Bearbeiten] Beispiel

Zufallszahlen produzieren mit 10 Bits des Zufalls: Dies kann zu produzieren nur 1024 verschiedene Werte
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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

[Bearbeiten] Siehe auch

(C++11)
produziert echte Werte gleichmäßig über einen Bereich verteilt
Original:
produces real values evenly distributed across a range
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