思路:這個題目很巧妙啊,一看就是一個狀壓DP,但是這個題我覺得難點在於如何求得狀態轉移以後的狀態,一開始想了很久都沒有想出來,然後看了lrj的書上寫的,確實十分的巧妙,我們用dp[s][a]來表示當前已經詢問了集合s的問題,具有集合a特徵的還要詢問最少多少次才能求得最優解,然後我們可以預處理一個數組來記錄每一個狀態下有多少個滿足的物體。
#include <algorithm>
#include <cmath>
#include <cstdio>
#include <cstring>
#include <iostream>
#include <list>
#include <map>
#include <queue>
#include <set>
#include <stack>
#include <string>
#include <vector>
#include <sstream>
#define MAXN 150
#define MAXE 11
#define MAX_SIZE 8
#define INF 0x3fffffff
#define EPS 1e-6
#define MOD 1000000007
#define LL long long
#define ULL unsigned long long
#define pi 3.14159
using namespace std;
int n, m;
int arr[MAXN];
int dp[(1 << MAXE) + 10][(1 << MAXE) + 10];
int num[(1 << MAXE) + 10][(1 << MAXE) + 10];
int change(const string &str) {
int ans = 0;
for (int i = 0; i < str.length(); ++i) {
ans = ans * 2 + str[i] - '0';
}
return ans;
}
void init() {
memset(num, 0, sizeof(num));
for (int i = 1; i <= n; ++i) {
for (int j = 0; j < (1 << m); ++j) {
num[j][j & arr[i]]++;
}
}
memset(dp, -1, sizeof(dp));
}
int DFS(int s, int a) {
int &ans = dp[s][a];
if (ans > -1) {
return ans;
}
if (num[s][a] == 1) {
return ans = 0;
} else if (num[s][a] == 2) {
return ans = 1;
}
ans = m;
for (int i = 0; i < m; ++i) {
if (!(s & (1 << i)) && num[s | (1 << i)][a | (1 << i)] && num[s | (1 << i)][a]) {
int temp = max(DFS(s | (1 << i), a), DFS(s | (1 << i), a | (1 << i))) + 1;
ans = min(ans, temp);
}
}
return ans;
}
int main() {
std::ios::sync_with_stdio(false);
while (cin >> m >> n) {
if (n == 0 && m == 0) {
break;
}
string str;
for (int i = 1; i <= n; ++i) {
cin >> str;
arr[i] = change(str);
}
init();
cout << DFS(0, 0) << endl;
}
return 0;
}
/*
8 1
11010101
11 4
00111001100
01001101011
01010000011
01100110001
11 16
01000101111
01011000000
01011111001
01101101001
01110010111
01110100111
10000001010
10010001000
10010110100
10100010100
10101010110
10110100010
11001010011
11011001001
11111000111
11111011101
11 12
10000000000
01000000000
00100000000
00010000000
00001000000
00000100000
00000010000
00000001000
00000000100
00000000010
00000000001
00000000000
9 32
001000000
000100000
000010000
000001000
000000100
000000010
000000001
000000000
011000000
010100000
010010000
010001000
010000100
010000010
010000001
010000000
101000000
100100000
100010000
100001000
100000100
100000010
100000001
100000000
111000000
110100000
110010000
110001000
110000100
110000010
110000001
110000000
0 0
*/