提高随机数发生器 [英] Boost random number generator

问题描述

有没有人有一个最喜欢的提振随机数生成器，你可以解释如何落实到code一点点。我试图让梅森倍捻机工作，并想知道如果任何人有preference对别人的一个。

Does anyone have a favorite boost random number generator and can you explain a little on how to implement it into code. I am trying to get the mersenne twister to work and was wondering if anyone had preference towards one of the others.

推荐答案

这code从升压手动调整在<一个href=\"http://www.boost.org/doc/libs/1_42_0/libs/random/index.html\">http://www.boost.org/doc/libs/1_42_0/libs/random/index.html:

This code is adapted from the boost manual at http://www.boost.org/doc/libs/1_42_0/libs/random/index.html:

#include <iostream>
#include "boost/random.hpp"
#include "boost/generator_iterator.hpp"
using namespace std;

int main() {
      typedef boost::mt19937 RNGType;
      RNGType rng;
      boost::uniform_int<> one_to_six( 1, 6 );
      boost::variate_generator< RNGType, boost::uniform_int<> >
                    dice(rng, one_to_six);
      for ( int i = 0; i < 6; i++ ) {
          int n  = dice();
          cout << n << endl;
     }
}

要解释位：

• mt19937 是梅森倍捻机发生器，它产生的原始随机数。 v一个typedef用在这里，因此您可以轻松地改变随机数生成器类型。

• mt19937 is the mersenne twister generator,which generates the raw random numbers. A typedef is used here so you can easily change random number generator type.

RNG 是龙卷风生成器的实例。

rng is an instance of the twister generator.

one_to_six 是分配的实例。这指定我们要生成的数量和他们遵循的分布。这里我们要1至6个，分布均匀。

one_to_six is an instance of a distribution. This specifies the numbers we want to generate and the distribution they follow. Here we want 1 to 6, distributed evenly.

骰子是取原始数据和分布，为我们创造，我们真正想要的数字的东西。

dice is the thing that takes the raw numbers and the distribution, and creates for us the numbers we actually want.

骰子（）是 A调用运算符（）为骰子对象，它获取下一个随机数的分布如下，模拟一个随机的六面骰子掷。

dice() is a call to operator() for the dice object, which gets the next random number following the distribution, simulating a random six-sided dice throw.

因为它的立场，这code产生骰子的相同顺序每次罚球。您可以随机化发生器在其构造：

As it stands, this code produces the same sequence of dice throws each time. You can randomise the generator in its constructor:

 RNGType rng( time(0) );   

或使用其种子（）成员。

or by using its seed() member.

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