• HDU-5001 Walk (概率DP)


    Problem Description
    I used to think I could be anything, but now I know that I couldn't do anything. So I started traveling.

    The nation looks like a connected bidirectional graph, and I am randomly walking on it. It means when I am at node i, I will travel to an adjacent node with the same probability in the next step. I will pick up the start node randomly (each node in the graph has the same probability.), and travel for d steps, noting that I may go through some nodes multiple times.

    If I miss some sights at a node, it will make me unhappy. So I wonder for each node, what is the probability that my path doesn't contain it.
     
    Input
    The first line contains an integer T, denoting the number of the test cases.

    For each test case, the first line contains 3 integers n, m and d, denoting the number of vertices, the number of edges and the number of steps respectively. Then m lines follows, each containing two integers a and b, denoting there is an edge between node a and node b.

    T<=20, n<=50, n-1<=m<=n*(n-1)/2, 1<=d<=10000. There is no self-loops or multiple edges in the graph, and the graph is connected. The nodes are indexed from 1.
     
    Output
    For each test cases, output n lines, the i-th line containing the desired probability for the i-th node.

    Your answer will be accepted if its absolute error doesn't exceed 1e-5.
     
    Sample Input
    2
    5 10 100
    1 2
    2 3
    3 4
    4 5
    1 5
    2 4
    3 5
    2 5
    1 4
    1 3
    10 10 10
    1 2
    2 3
    3 4
    4 5
    5 6
    6 7
    7 8
    8 9
    9 10
    4 9
     
    Sample Output
    0.0000000000
    0.0000000000
    0.0000000000
    0.0000000000
    0.0000000000
    0.6993317967
    0.5864284952
    0.4440860821
    0.2275896991
    0.4294074591
    0.4851048742
    0.4896018842
    0.4525044250
    0.3406567483
    0.6421630037
     
    题目大意:给一张无根无向图(n个节点,m条边),每一步走哪一个儿子节点的概率相同(以哪个点为起点的概率也相同)。对于每个点,找出走完d步后走不到该点的概率。
    题目分析:定义dp(s,u)表示不经过节点i(1<=i<=n)走了s步时,到达u点的概率。则根据加法原理,dp(s,son)=sum(dp(s-1,u)*f),其中 f 是u走到其儿子son的概率,f=1.0/(u的儿子个数)。题目要求分别输出不经过节点 i (1<=i<=n) 的答案,则DP n次即可。对于每次DP,根据加法原理,答案为ans=sum(dp(d,j)),其中,j不等于i。
     
    注意:第一步是从起点开始的,而选择起点的过程不能算做一步。
     
    代码如下:
    # include<iostream>
    # include<cstdio>
    # include<vector>
    # include<cstring>
    # include<algorithm>
    using namespace std;
    vector<int>v[55];
    int n,m,d,vis[10005][55];
    double dp[10005][55];
    void solve()
    {
        for(int i=1;i<=n;++i){
            memset(dp,0,sizeof(dp));
            for(int j=1;j<=n;++j)
                dp[0][j]=1.0/n;
            for(int j=1;j<=d;++j){
                for(int start=1;start<=n;++start){
                    if(i==start)
                        continue;
                    int l=v[start].size();
                    for(int k=0;k<l;++k)
                        dp[j][v[start][k]]+=dp[j-1][start]*1.0/l;
                }
            }
            double ans=0.0;
            for(int j=1;j<=n;++j)
                if(j!=i)
                    ans+=dp[d][j];
            printf("%.10lf
    ",ans);
        }
    }
    int main()
    {
        int T,a,b;
        vector<int>::iterator it;
        scanf("%d",&T);
        while(T--)
        {
            memset(vis,0,sizeof(vis));
            scanf("%d%d%d",&n,&m,&d);
            for(int i=1;i<=n;++i)
                v[i].clear();
            while(m--)
            {
                scanf("%d%d",&a,&b);
                it=find(v[a].begin(),v[a].end(),b);
                if(it==v[a].end())
                    v[a].push_back(b);
                it=find(v[b].begin(),v[b].end(),a);
                if(it==v[b].end())
                    v[b].push_back(a);
            }
            solve();
        }
        return 0;
    }
    

      

  • 相关阅读:
    what's the 头寸
    pandas操作速查表
    基于TensorFlow的简单验证码识别
    Python识别字符型图片验证码
    使用python以及工具包进行简单的验证码识别
    Mac OS X中MacPorts安装和使用
    通过Tesseract实现简单的OCR
    报错解决——pytesseract.pytesseract.TesseractError: (1,’Error opening data file /usr/local/share/tessdata/eng.traineddata’)
    各版本系统安装tesseract-ocr
    报错解决——-bash: wget: command not found
  • 原文地址:https://www.cnblogs.com/20143605--pcx/p/4800681.html
Copyright © 2020-2023  润新知