std::uniform_real_distribution

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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

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.


Member types

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

Member functions

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

Non-member functions

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

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

Example

print 10 random numbers between 1 and 2

#include <random>
#include <iostream>
 
int main()
{
    std::random_device rd;  //Will be used to obtain a seed for the random number engine
    std::mt19937 gen(rd()); //Standard mersenne_twister_engine seeded with rd()
    std::uniform_real_distribution<> dis(1, 2);
    for (int n = 0; n < 10; ++n) {
        //Use dis to transform the random unsigned int generated by gen into a double in [1, 2)
        std::cout << dis(gen) << ' '; //Each call to dis(gen) generates a new random double
    }
    std::cout << '\n';
}

Possible output:

1.80829 1.15391 1.18483 1.38969 1.36094 1.0648 1.97798 1.27984 1.68261 1.57326