本文介绍了uniform_real_distribution 不均匀的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
请帮助我理解这一点.运行代码段后:
Please, help me understand this. After running the snippet:
random_device randomEngine;
mt19937 generatorEngine(randomEngine());
uniform_real_distribution<double> unifRandomValue(
numeric_limits<double>::min(),
numeric_limits<double>::max());
double test[1000];
for (int i{ 0 }; i < 1000; ++i) {
test[i] = unifRandomValue(generatorEngine);
}
为什么每个生成的值都在 [1.0E306, 1.8E308]
范围内?我期待一个随机值从接近 0 到 double 类型的最大值均匀分布.
Why is every generated value in the range [1.0E306, 1.8E308]
? I was expecting a random value uniformly distributed from near 0 to the max of double type.
提前致谢!
const size_t size{ 1000 };
std::random_device randomEngine;
std::mt19937 generatorEngine(randomEngine());
std::uniform_real_distribution<double> unifRandomValue(
std::numeric_limits<double>::min(),
std::numeric_limits<double>::max());
std::array<double, size> test;
for (int i{ 0 }; i < size; ++i) {
test[i] = unifRandomValue(generatorEngine);
}
auto minMaxIt = std::minmax_element(test.begin(), test.end());
// average without overflow
double average{ 0.0 };
for (int i{ 0 }; i < size; ++i) {
average += test[i] / size;
}
std::cout << "min value : " << *minMaxIt.first << std::endl;
std::cout << "max value : " << *minMaxIt.second << std::endl;
std::cout << "average : " << average << endl;
// one possible output (they are all similar)
// min value : 1.73361e+305
// max value : 1.79661e+308
// average : 8.78467e+307
推荐答案
嗯,这是统一生成器的属性:
90% 的值将处于您指定的最高数量级.
想得更小;考虑 0 到 99 之间的整数范围:90% 的图纸将有 2 位数字.
Think smaller; consider the integer range 0 to 99 inclusive: 90% of the drawings will have 2 digits.
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