C ++等价的新的随机（种子）在C＃ [英] C++ equivalent of new Random(seed) in C#

问题描述

当我们在C＃中使用随机数生成器时，我们可以定义一个变量，如

  private Random _rndGenerator; 
  

然后调用

  _rndGenerator = new Random（seed）; 
 
  $ b          p>我的问题是：
 
 
 
这种定义的C ++等价物是什么（即类中的RNG）。我认为这不是一个正确的方法使用
  srand（（unsigned int）seed）; 
  
对吗？
解决方案
 C ++ 11具有更强大的随机数生成功能。这里有一个例子：
  #include< random> 
 #include< functional> 
 
 std :: size_t get_seed（）; //什么是获得种子的首选方式
 
 typedef std :: mt19937 engine_type; // a Mersenne twister engine 
 std :: uniform_int_distribution< engine_type :: result_type> udist（0，200）; 
 
 engine_type engine; 
 
 int main（）
 {
 // seed rng first：
 engine_type :: result_type const seedval = get_seed（）; 
 engine.seed（seedval）; 
 
 //绑定引擎和分发
 auto rng = std :: bind（udist，engine）; 
 
 //生成一个随机数
 auto random_number = rng（）; 
 
 return random_number; 
} 
  
有很多种获取种子的方法。 < random> 使用 std :: random_device 类提供对某些硬件熵的潜在访问，种子你的PRNG。
  std :: size_t get_seed（）{
 std :: random_device entropy; 
 return entropy（）; 
} 
  
 
When we are using a random number generator in C#, we can define a variable like
private Random _rndGenerator;
in a class and then call
_rndGenerator = new Random(seed);
correctly in the constructor of the class.

My question is:

What is a C++ equivalent of such a definition (i.e. an RNG in a class). I think it is not a correct approach to use
srand((unsigned int)seed);
right?
解决方案
C++11 has much more powerful random-number generation facilities. Here's an example:
#include <random>
#include <functional>

std::size_t get_seed(); // whatever is the preferred way of obtaining a seed

typedef std::mt19937 engine_type; // a Mersenne twister engine
std::uniform_int_distribution<engine_type::result_type> udist(0, 200);

engine_type engine;

int main()
{
  // seed rng first:
  engine_type::result_type const seedval = get_seed();
  engine.seed(seedval);

  // bind the engine and the distribution
  auto rng = std::bind(udist, engine);

  // generate a random number
  auto random_number = rng();

  return random_number;
}
There are many ways to obtain seeds. <random> provides potential access to some hardware entropy with the std::random_device class, which you can use to seed your PRNGs.
std::size_t get_seed() {
    std::random_device entropy;
    return entropy();
}


                        
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