Contest
Problem Description
In the ACM International Collegiate Programming Contest, each team consist of three students. And the teams are given 5 hours to solve between 8 and 12 programming problems.
On Mars, there is programming contest, too. Each team consist of N students. The teams are given M hours to solve M programming problems. Each team can use only one computer, but they can’t cooperate to solve a problem. At the beginning of the ith hour, they will get the ith programming problem. They must choose a student to solve this problem and others go out to have a rest. The chosen student will spend an hour time to program this problem. At the end of this hour, he must submit his program. This program is then run on test data and can’t modify any more.
Now, you have to help a team to find a strategy to maximize the expected number of correctly solved problems.
For each problem, each student has a certain probability that correct solve. If the ith student solve the jth problem, the probability of correct solve is Pij .
At any time, the different between any two students’ programming time is not more than 1 hour. For example, if there are 3 students and there are 5 problems. The strategy {1,2,3,1,2}, {1,3,2,2,3} or {2,1,3,3,1} are all legal. But {1,1,3,2,3},{3,1,3,1,2} and {1,2,3,1,1} are all illegal.
You should find a strategy to maximize the expected number of correctly solved problems, if you have know all probability
On Mars, there is programming contest, too. Each team consist of N students. The teams are given M hours to solve M programming problems. Each team can use only one computer, but they can’t cooperate to solve a problem. At the beginning of the ith hour, they will get the ith programming problem. They must choose a student to solve this problem and others go out to have a rest. The chosen student will spend an hour time to program this problem. At the end of this hour, he must submit his program. This program is then run on test data and can’t modify any more.
Now, you have to help a team to find a strategy to maximize the expected number of correctly solved problems.
For each problem, each student has a certain probability that correct solve. If the ith student solve the jth problem, the probability of correct solve is Pij .
At any time, the different between any two students’ programming time is not more than 1 hour. For example, if there are 3 students and there are 5 problems. The strategy {1,2,3,1,2}, {1,3,2,2,3} or {2,1,3,3,1} are all legal. But {1,1,3,2,3},{3,1,3,1,2} and {1,2,3,1,1} are all illegal.
You should find a strategy to maximize the expected number of correctly solved problems, if you have know all probability
Input
The first line of the input is T (1 ≤ T ≤ 20), which stands for the number of test cases you need to solve.
The first line of each case contains two integers N ,M (1 ≤ N ≤ 10,1 ≤ M ≤ 1000),denoting the number of students and programming problem, respectively.
The next N lines, each lines contains M real numbers between 0 and 1 , the jth number in the ith line is Pij .
The first line of each case contains two integers N ,M (1 ≤ N ≤ 10,1 ≤ M ≤ 1000),denoting the number of students and programming problem, respectively.
The next N lines, each lines contains M real numbers between 0 and 1 , the jth number in the ith line is Pij .
Output
For each test case, print a line “Case #t: ”(without quotes, t means the index of the test case) at the beginning. Then a single real number means the maximal expected number of correctly solved problems if this team follow the best
strategy, to five digits after the decimal point. Look at the output for sample input for details.
Sample Input
1 2 3 0.6 0.3 0.4 0.3 0.7 0.9
Sample Output
Case #1: 2.20000
Source
解题思路:
题意为有n个学生,m道题,已知每位学生对每一个题都有一个答对的可能性,要求一道题目仅仅能一个学生做。一个学生能够做多道。 且随意两个学生之间做的题目之差不能超过1,问m道题所有答对的最大可能性为多少。
n最大为10。所以最多有 0~(2的10次方-1)种状态,每一位代表一个学生。1表示答题。0表示不答题。
当dp[ i ] [ j ]代表前 i 道题,状态为 j 的所有答对最大可能性。状态为j,也就是二进制里面包含i个1,由于要选i个人答题。
比方 dp[ 2 ][ 4], 4 可能是1001 1100 0011 0101等。仅仅要包含2个1就能够。 n<=m的时候
状态转移方程为: dp [ i +1 ] [ j ]= max(dp[i+1][j], dp[i-1][ s] + p[ k ][ i ] ) s是一个状态,p[k][i]表示第k个人答对第i道题的可能性
从已知状态推未知状态。
n>m时。由于随意两个学生做的题目仅仅差不能超过1,所以 当全部学生都答过一道题以后,状态要从0開始, dp[i][ (1<<n)-1]已知。也就是dp[i][0]已知
參考:http://www.2cto.com/kf/201409/338936.html
代码:
#include <iostream> #include <stdio.h> #include <string.h> using namespace std; const int Max=(1<<10)+1; double dp[1001][Max];//代表前i道题,状态为j做出来题目的最大期望 double p[11][1001]; int n,m; int s;//最大状态 double solve() { double ans=-1.0; dp[0][0]=0; for(int i=0;i<m;i++)//第几道题 for(int j=0;j<s;j++) { if(dp[i][j]<0)//眼下该状态还没出现 continue; for(int k=0;k<n;k++)//第几个人来做 { if(!((1<<k)&j))//第k个人可选,也就是j的二进制第k位为0 { int temps=j|(1<<k); if(temps==(s-1)) temps=0; dp[i+1][temps]=max(dp[i+1][temps],dp[i][j]+p[k][i]); } } } for(int i=0;i<s;i++) if(ans<dp[m][i]) ans=dp[m][i]; return ans; } int main() { int t;scanf("%d",&t); for(int ca=1;ca<=t;ca++) { scanf("%d%d",&n,&m); for(int i=0;i<n;i++) for(int j=0;j<m;j++) scanf("%lf",&p[i][j]); s=1<<n; for(int i=0;i<=m;i++) for(int j=0;j<s;j++) dp[i][j]=-1.0; double ans=solve(); printf("Case #%d: %.5lf ",ca,ans); } return 0; }
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