uniform_real_distribution 类
在包含起始值不包含结束值的输出范围中生成均匀的(每个值的概率都均等)浮点分布。
template<class RealType = double> class uniform_real_distribution { public: // types typedef RealType result_type; struct param_type; // constructors and reset functions explicit uniform_real_distribution(RealType a = 0.0, RealType b = 1.0); explicit uniform_real_distribution(const param_type& parm); void reset(); // generating functions template<class URNG> result_type operator()(URNG& gen); template<class URNG> result_type operator()(URNG& gen, const param_type& parm); // property functions result_type a() const; result_type b() const; param_type param() const; void param(const param_type& parm); result_type min() const; result_type max() const; };
参数
- RealType
浮点结果类型,默认为 double。 有关可能的类型,请参阅 <random>。
备注
模板类描述了包含起始值不包含结束值的分布,该分布使用某个分布产生用户指定的浮点整型值,以便每个值的概率都均等。 下表链接到有关各个成员的文章。
uniform_real_distribution::a |
uniform_real_distribution::param |
|
uniform_real_distribution::operator() |
uniform_real_distribution::b |
属性成员 a() 将返回分布当前存储的下限,而 b() 将返回当前存储的上限。 对于此分布类,这些最小值和最大值与 <random> 主题中描述的常用属性函数 min() 和 max() 返回的值相同。
有关分布类及其成员的详细信息,请参阅 <random>。
示例
// compile with: /EHsc /W4
#include <random>
#include <iostream>
#include <iomanip>
#include <string>
#include <map>
void test(const double a, const double b, const int s) {
// uncomment to use a non-deterministic seed
// std::random_device rd;
// std::mt19937 gen(rd());
std::mt19937 gen(1729);
std::uniform_real_distribution<> distr(a,b);
std::cout << "lower bound == " << distr.a() << std::endl;
std::cout << "upper bound == " << distr.b() << std::endl;
// generate the distribution as a histogram
std::map<double, int> histogram;
for (int i = 0; i < s; ++i) {
++histogram[distr(gen)];
}
// print results
std::cout << "Distribution for " << s << " samples:" << std::endl;
int counter = 0;
for (const auto& elem : histogram) {
std::cout << std::fixed << std::setw(11) << ++counter << ": "
<< std::setprecision(10) << elem.first << std::endl;
}
std::cout << std::endl;
}
int main()
{
double a_dist = 1.0;
double b_dist = 1.5;
int samples = 10;
std::cout << "Use CTRL-Z to bypass data entry and run using default values." << std::endl;
std::cout << "Enter a floating point value for the lower bound of the distribution: ";
std::cin >> a_dist;
std::cout << "Enter a floating point value for the upper bound of the distribution: ";
std::cin >> b_dist;
std::cout << "Enter an integer value for the sample count: ";
std::cin >> samples;
test(a_dist, b_dist, samples);
}
输出
要求
标头:<random>
命名空间: std