zoukankan      html  css  js  c++  java
  • Check the difficulty of problems 概率dp,概率知识很重要

    Problem Description
    Organizing a programming contest is not an easy job. To avoid making the problems too difficult, the organizer usually expect the contest result satisfy the following two terms: 
    1. All of the teams solve at least one problem. 
    2. The champion (One of those teams that solve the most problems) solves at least a certain number of problems. 

    Now the organizer has studied out the contest problems, and through the result of preliminary contest, the organizer can estimate the probability that a certain team can successfully solve a certain problem. 

    Given the number of contest problems M, the number of teams T, and the number of problems N that the organizer expect the champion solve at least. We also assume that team i solves problem j with the probability Pij (1 <= i <= T, 1<= j <= M). Well, can you calculate the probability that all of the teams solve at least one problem, and at the same time the champion team solves at least N problems? 
     
    Input
    The input consists of several test cases. The first line of each test case contains three integers M (0 < M <= 30), T (1 < T <= 1000) and N (0 < N <= M). Each of the following T lines contains M floating-point numbers in the range of [0,1]. In these T lines, the j-th number in the i-th line is just Pij. A test case of M = T = N = 0 indicates the end of input, and should not be processed.
     
    Output
    For each test case, please output the answer in a separate line. The result should be rounded to three digits after the decimal point.
     
    Sample Input
    2 2 2
    0.9 0.9
    1 0.9
    0 0 0
     
    Sample Output
    0.972
    ***************************************************************************************************************************
    概率dp
    ***************************************************************************************************************************
     1 /*
     2 dp[i][j][k]代表第i个队在前j道题时解决k道题时的概率
     3 p[i][j]代表第i个队解决第j道题时的概率
     4 s[i][j]代表第i个队解决0-j道题的概率
     5 注意要初始化dp[i][0][0]=1;
     6 因为这是必然事件
     7 要求有t个队,m道题,每队至少一题,且冠军队不少于n个题的事件概率
     8 此时对冠军队不少于n个题,求对立事p2更容易,
     9 每队至少一题直接求p1,两者相减就是要求的概率。
    10 这道题说明了概率很重要。
    11 */
    12 #include<iostream>
    13 #include<string>
    14 #include<cstring>
    15 #include<cstdio>
    16 #include<cmath>
    17 using namespace std;
    18 double dp[1005][50][50],p[1005][50],s[1005][50];
    19 int n,m,t;
    20 int i,j,k;
    21 double p1,p2;
    22 int main()
    23 {
    24   while(scanf("%d%d%d",&m,&t,&n)!=EOF)
    25   {
    26       if(!m&&!n&&!t)
    27         break;
    28       memset(dp,0,sizeof(dp));
    29       memset(p,0,sizeof(p));
    30       memset(s,0,sizeof(s));
    31       for(i=1;i<=t;i++)
    32        for(j=1;j<=m;j++)
    33          scanf("%lf",&p[i][j]);
    34      for(i=1;i<=t;i++)
    35      {
    36          dp[i][0][0]=1.0;
    37          for(j=1;j<=m;j++)
    38            dp[i][j][0]=dp[i][j-1][0]*(1-p[i][j]);
    39          for(j=1;j<=m;j++)
    40           for(k=1;k<=j;k++)
    41            dp[i][j][k]=dp[i][j-1][k-1]*p[i][j]+dp[i][j-1][k]*(1-p[i][j]);
    42          s[i][0]=dp[i][m][0];
    43          for(j=1;j<=m;j++)
    44           s[i][j]=s[i][j-1]+dp[i][m][j];
    45      }
    46      p1=p2=1.0;
    47      for(i=1;i<=t;i++)
    48       p1*=(s[i][m]-s[i][0]);
    49      for(i=1;i<=t;i++)
    50       p2*=(s[i][n-1]-s[i][0]);
    51      printf("%.3f
    ",p1-p2);
    52 
    53   }
    54   return 0;
    55 }
    View Code
     
  • 相关阅读:
    Android 对话框(Dialog)
    struts2 开发模式
    Struts2动态方法调用(DMI)
    Struts2中 Path (getContextPath与basePath)
    String path = request.getContextPath
    ios虚拟机安装(二)
    Spring MVC 的 研发之路
    Swift辛格尔顿设计模式(SINGLETON)
    【算法导论】多项式求和
    uva 11181
  • 原文地址:https://www.cnblogs.com/sdau--codeants/p/3389930.html
Copyright © 2011-2022 走看看