因此,为了更好地理解 MSVC++ 的实现rand
,我重新实现了它并试图更好地理解它(我猜一般是 LCG)。
我的实现(与 MSVC++ 几乎完全匹配)如下:
// vc++ impl. of random
// Xn+1 = (aXn + i) mod m
// a = 214013, i = 2531011, m = 32768
unsigned int seed = 0;
unsigned int random()
{
seed = seed * 214013L + 2531011L;
// return (seed/(1<<16)) % 32768; (equiv to below)
return seed>>16 & 0x7FFF;
}
为了从 2 个种子中找出新生成的种子的差异,我认为这只是(214013*h) % 2^32
h 是 2 个初始种子之间的差异。使用相同的逻辑,我计算了给定初始种子 asx
和下一个种子 as的 2 个随机生成的数字之间的差异x+h
,我在种子中取了这个不同,将其除以 2^16(或将其右移 16 位),然后摆脱最重要的位。
除了在某些情况下,例如当 x = 100 和 h = 5000 时,这产生的值似乎是正确的。
这是整个代码:
#include <iostream>
#include <cstdlib>
// vc++ impl. of random
// Xn+1 = (aXn + i) mod m
// a = 214013, i = 2531011, m = 32768
unsigned int seed = 0;
unsigned int random()
{
seed = seed * 214013L + 2531011L;
return seed>>16 & 0x7FFF;
}
int main()
{
// f(x) = (214013x + 2531011) mod 2^32 [LCG]
// g(x) = floor(f(x)/2^16) mod 2^15 [RND]
// h(x) = f(x + h) - f(x) ?= 214013*h mod 2^32
// j(x) = g(x + h) - g(x) ?= 214013*h/2^16 mod 2^15
// x: initial seed
// h: displaecment to next seed (next seed: x + h)
// a, b: first and second randomly generated values using C rand
// c, d: first and second randomly generated values using random
// newSeedA, newSeedB: seed generated from LCG after x and x + h respectively
// diffExp: experimental difference in random values
// diffCalc: calculated/theoretical difference in random vlaues
unsigned int x = 100, h = 50000;
unsigned int a, b, c, d;
unsigned int newSeedA, newSeedB;
int diffExp, diffCalc;
srand(x);
seed = x;
a = rand();
c = random();
newSeedA = seed;
srand(x + h);
seed = x + h;
b = rand();
d = random();
newSeedB = seed;
diffExp = (d - c) % 32768;
diffCalc = (214013*h)>>16 & 0x7FFF;
std::cout << "RANDOM VALUES\n";
std::cout << " VC++ rand: " << a << ", " << b << "\n";
std::cout << "Custom rand: " << c << ", " << d << "\n";
std::cout << "\n";
std::cout << "DIFFERENCE IN SEED\n";
std::cout << "Experimental Difference: " << (newSeedB - newSeedA) << "\n";
std::cout << " Calculated Difference: " << (static_cast<unsigned int>(214013)*h) << "\n";
std::cout << "\n";
std::cout << "DIFFERENCE IN VALUES\n";
std::cout << "Experimental Difference: " << diffExp << "\n";
std::cout << " Calculated Difference: " << diffCalc << "\n";
std::cout << "\n";
return 0;
}
但是,对于这些值,2 个随机生成的值之间的估计差异比实际差异小 1。我在做一些明显错误的事情吗?