public member function
<random>
| (1) | explicit weibull_distribution ( result_type a = 1.0, result_type b = 1.0 );
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| (2) | explicit weibull_distribution ( const param_type& parm ); |
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Construct Weibull distribution
Constructs a weibull_distribution object, adopting the distribution parameters specified either by a and b or by object parm.
Parameters
- a
- Distribution parameter a, which defines the shape of the distribution.
This shall be a positive value (a>0).
result_type is a member type that represents the type of the random numbers generated on each call to operator(). It is defined as an alias of the first class template parameter (RealType).
- b
- Distribution parameter b, which defines the scale of the distribution.
This shall be a positive value (b>0).
result_type is a member type that represents the type of the random numbers generated on each call to operator(). It is defined as an alias of the first class template parameter (RealType).
- parm
- An object representing the distribution's parameters, obtained by a call to member function param.
param_type is a member type.
Example
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// weibull_distribution example
#include <iostream>
#include <chrono>
#include <random>
int main()
{
// construct a trivial random generator engine from a time-based seed:
unsigned seed = std::chrono::system_clock::now().time_since_epoch().count();
std::default_random_engine generator (seed);
std::weibull_distribution<double> distribution (2.0,1.0);
std::cout << "some Weibull-distributed(2.0,1.0) results:" << std::endl;
for (int i=0; i<10; ++i)
std::cout << distribution(generator) << std::endl;
return 0;
}
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Possible output:
some Weibull-distributed(2.0,1.0) results:
1.92423
1.45697
0.297437
1.11049
0.532098
0.333541
0.551191
1.51689
1.25831
0.807502
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