std::uniform_real_distribution
From cppreference.com
Defined in header <random>
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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 density 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.
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Member types
Member type | Definition |
result_type
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RealType |
param_type
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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
To create a distribution over the closed interval [a,b], std::nextafter(b, std::numeric_limits<RealType>::max()) may be used as the second parameter.
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
Run this code
#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