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 |