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std::uniform_real_distribution

From cppreference.com
< cpp‎ | numeric‎ | random
 
 
 
Pseudo-random number generation
Engines and engine adaptors
Generators
Distributions
Uniform distributions
uniform_real_distribution
(C++11)
Bernoulli distributions
Poisson distributions
Normal distributions
Sampling distributions
Seed Sequences
(C++11)
C library
 
 
Defined in header <random>
template< class RealType = double >
class uniform_real_distribution;
(since C++11)

Produces random floating-point values i, uniformly distributed on the interval [a, b), that is, distributed according to the probability function:

P(i|a,b) =
1
b − a
.

std::uniform_real_distribution satisfies all requirements of RandomNumberDistribution

Contents

[edit] Template parameters

RealType - The result type generated by the generator. The effect is undefined if this is not one of float, double, or long double.


[edit] Member types

Member type Definition
result_type RealType
param_type the type of the parameter set, see RandomNumberDistribution.

[edit] Member functions

constructs new distribution
(public member function) [edit]
resets the internal state of the distribution
(public member function) [edit]
Generation
generates the next random number in the distribution
(public member function) [edit]
Characteristics
returns the distribution parameters
(public member function) [edit]
gets or sets the distribution parameter object
(public member function) [edit]
returns the minimum potentially generated value
(public member function) [edit]
returns the maximum potentially generated value
(public member function) [edit]

[edit] Non-member functions

compares two distribution objects
(function) [edit]
performs stream input and output on pseudo-random number distribution
(function template) [edit]

[edit] Notes

Some existing implementations have a bug where they may occasionally return b if RealType is float GCC #63176 LLVM #18767. This is caused by LWG issue 2524

[edit] Example

print 10 random numbers between 1 and 2

#include <random>
#include <iostream>
 
int main()
{
    std::random_device rd;
    std::mt19937 gen(rd());
    std::uniform_real_distribution<> dis(1, 2);
    for (int n = 0; n < 10; ++n) {
        std::cout << dis(gen) << ' ';
    }
    std::cout << '\n';
}

Output:

1.80829 1.15391 1.18483 1.38969 1.36094 1.0648 1.97798 1.27984 1.68261 1.57326