令\(f[S,i]\)表示当前吃的状态为\(S\),当前是第\(i\)次抛的按最优决策的期望得分
但由于起始状态是确定的,而终态是不确定的,所以考虑改变定义逆推
令\(f[S,i]\)表示\(1\)到\(i-1\)的状态为\(S\),当前是第\(i\)次抛,还能得到的期望得分
考虑所有抛出的\(k\)
弄完后要除\(n\)
初始值为\(0\)
答案为\(f[1,0]\)
\(tips:\) 判断一个集合(\(S\))是否是另一个集合(\(T\))的子集
\(S \& T == S\) (即 \(S \cap T == S\)) 则是
代码
#include <iostream>
#include <cstdio>
#include <cstring>
#include <algorithm>
typedef long long ll;
using namespace std;
template <typename T> void in(T &x) {
x = 0; T f = 1; char ch = getchar();
while(!isdigit(ch)) {if(ch == '-') f = -1; ch = getchar();}
while(isdigit(ch)) {x = 10*x+ch-'0'; ch = getchar();}
x *= f;
}
template <typename T> void out(T x) {
if(x < 0) putchar('-'),x = -x;
if(x > 9) out(x/10);
putchar(x%10+'0');
}
//---------------------------------------------------------------
int n,m;
int a[16],need[16];
double f[110][1<<16];
int main() {
in(m); in(n);
for(int i = 0;i < n; ++i) {
in(a[i]); int x;
while(1) {
in(x); if(!x) break;
need[i] |= (1<<(x-1));
}
}
for(int i = m;i >= 1; --i) {
for(int j = 0;j < (1<<n); ++j) {//debug < (1<<n) -> < (1<<n)-1
for(int k = 0;k < n; ++k) {
if((j&need[k]) == need[k]) f[i][j] += max(f[i+1][j],f[i+1][j|(1<<k)]+a[k]);
else f[i][j] += f[i+1][j];
}
f[i][j] /= n;
}
}
printf("%.6lf",f[1][0]);
return 0;
}原文:https://www.cnblogs.com/mzg1805/p/11715344.html