骰子总和 [英] Sum of dice rolls
问题描述
我正在尝试计算从 s 面骰子的 n 卷中获得特定总和的概率.我在此链接(公式10)中找到了该公式.
I am trying to compute the probability of getting a specific sum from n rolls of s-sided dice. I found the formula in this link (formula 10).
这是我用C语言编写的代码:
This is the code that I wrote in C:
# include <stdio.h>
# include <stdlib.h>
# include <math.h>
# define n 2 // number of dices
# define s 6 // number of sides of one dice
int fact(int x){
int y = 1;
if(x){
for(int i = 1; i <= x; i++)
y *= i;
}
return y;
}
int C(int x,int y){
int z = fact(x)/(fact(y)*fact(x-y));
return z;
}
int main(){
int p,k,kmax;
double proba;
for(p = n; p <= s*n; p++){
proba = 0.0;
kmax = (p-n)/s;
for(k = 0; k <= kmax; k++)
proba += pow(-1.0,k)*C(n,k)*C(p-s*k-1,p-s*k-n);
proba /= pow((float)s,n);
printf("%5d %e\n",p,proba);
}
}
以下是结果:
两个6面骰子:
2 2.777778e-02
3 5.555556e-02
4 8.333333e-02
5 1.111111e-01
6 1.388889e-01
7 1.666667e-01
8 1.388889e-01
9 1.111111e-01
10 8.333333e-02
11 5.555556e-02
12 2.777778e-02
和三个6面骰子:
3 4.629630e-03
4 1.388889e-02
5 2.777778e-02
6 4.629630e-02
7 6.944444e-02
8 9.722222e-02
9 1.157407e-01
10 1.250000e-01
11 1.250000e-01
12 1.157407e-01
13 9.722222e-02
14 -1.805556e-01
15 -3.703704e-01
16 -4.768519e-01
17 -5.462963e-01
18 -6.203704e-01
否定概率?代码或公式有什么问题?
Negatives probabilities? What's wrong in the code or in the formula?
这是Valgrind报告
This is Valgrind report
==9004==
==9004== HEAP SUMMARY:
==9004== in use at exit: 0 bytes in 0 blocks
==9004== total heap usage: 1 allocs, 1 frees, 1,024 bytes allocated
==9004==
==9004== All heap blocks were freed -- no leaks are possible
==9004==
==9004== For counts of detected and suppressed errors, rerun with: -v
==9004== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0)
推荐答案
您的C
和fact
函数遇到溢出. fact(13)
已经溢出了一个有符号的32位整数.
Your C
and fact
functions experience overflow. fact(13)
already overflows a signed 32 bit integer.
您可以对C
使用此定义,从而完全避免了对fact
的需要:
You can use this definition for C
, which avoids the need for fact
entirely:
double C(int n, int k) {
double r = 1.0;
for (int i = 0; i < k; i++) {
r *= n - i;
r /= i + 1;
}
return r;
}
这避免了较大的中间结果,并将结果累加为双精度而不是整数.使用double可能并不总是令人满意,但是无论如何您的代码都会将结果转换为double,因此在这里看起来不错.
This avoids large intermediate results, and accumulates the result in a double rather than an int. Using a double may not always be satisfactory, but your code is converting the result to a double anyhow, so it seems fine here.
这是我对原始问题的解决方案.它完全避免了计算能力和组合,从而产生了更短,更快和更数字稳定的解决方案.您可以运行它,例如使用./dice 3d12
来产生滚动3个12面骰子的概率.
Here's my solution to the original problem. It avoids computing powers and combinations entirely, resulting in a shorter, faster and more numerically stable solution. You can run it, for example like ./dice 3d12
to produce the probabilities of rolling 3 12-sided dice.
#include <stdio.h>
#include <stdlib.h>
void dice_sum_probabilities(int n, int d) {
// Compute the polynomial [(x+x^2+...+x^d)/d]^n.
// The coefficient of x^k in the result is the
// probability of n dice with d sides summing to k.
int N=d*n+1;
// p is the coefficients of a degree N-1 polynomial.
double p[N];
for (int i=0; i<N; i++) p[i]=i==0;
// After k iterations of the main loop, p represents
// the polynomial [(x+x^2+...+x^d)/d]^k
for (int i=0; i<n; i++) {
// S is the rolling sum of the last d coefficients.
double S = 0;
// This loop iterates backwards through the array
// setting p[j+d] to (p[j]+p[j+1]+...+p[j+d-1])/d.
// To get the ends right, j ranges over a slightly
// larger range than the array, and care is taken to
// not write out-of-bounds, and to treat out-of-bounds
// reads as 0.
for (int j=N-1;j>=-d;j--) {
if (j>=0) S += p[j];
if (j+d < N) {
S -= p[j+d];
p[j+d] = S/d;
}
}
}
for (int i=n; i<N; i++) {
printf("% 4d: %.08lf\n", i, p[i]);
}
}
int main(int argc, char **argv) {
int ndice, sides, ok;
ok = argc==2 && sscanf(argv[1], "%dd%d", &ndice, &sides)==2;
if (!ok || ndice<1 || ndice>1000 || sides<1 || sides>100) {
fprintf(stderr, "Usage: %s <n>d<sides>. For example: 3d6\n", argv[0]);
return 1;
}
dice_sum_probabilities(ndice, sides);
return 0;
}
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