Defined in header <random>  

template< class RealType = double > class uniform_real_distribution;  (since C++11) 
Produces random floatingpoint values \(\small x\)x, uniformly distributed on the interval \(\small [a, b)\)[a, b), that is, distributed according to the probability density function: \({\small P(xa,b) =} \frac{1}{ba}\)P(xa,b) =
1/b − a.std::uniform_real_distribution
satisfies all requirements of RandomNumberDistribution.
RealType    The result type generated by the generator. The effect is undefined if this is not one of float , double , or long double . 
Member type  Definition 

result_type (C++11)  RealType 
param_type (C++11)  the type of the parameter set, see RandomNumberDistribution. 
(C++11)  constructs new distribution (public member function) 
(C++11)  resets the internal state of the distribution (public member function) 
Generation 

(C++11)  generates the next random number in the distribution (public member function) 
Characteristics 

returns the distribution parameters (public member function) 

(C++11)  gets or sets the distribution parameter object (public member function) 
(C++11)  returns the minimum potentially generated value (public member function) 
(C++11)  returns the maximum potentially generated value (public member function) 
(C++11)(C++11)(removed in C++20)  compares two distribution objects (function) 
(C++11)  performs stream input and output on pseudorandom number distribution (function template) 
It is difficult to create a distribution over the closed interval \(\small[a, b]\)[a, b] from this distribution. Using std::nextafter(b, std::numeric_limits<RealType>::max())
as the second parameter does not always work due to rounding error.
Most existing implementations have a bug where they may occasionally return \(\small b\)b (GCC #63176 LLVM #18767 MSVC STL #1074). This was originally only thought to happen when RealType
is float
and when LWG issue 2524 is present, but it has since been shown that neither is required to trigger the bug.
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(1.0, 2.0); for (int n = 0; n < 10; ++n) { // Use dis to transform the random unsigned int generated by gen into a // double in [1, 2). Each call to dis(gen) generates a new random double std::cout << dis(gen) << ' '; } 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
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