• codeforces 258D DP


    D. Little Elephant and Broken Sorting
    time limit per test
    2 seconds
    memory limit per test
    256 megabytes
    input
    standard input
    output
    standard output

    The Little Elephant loves permutations of integers from 1 to n very much. But most of all he loves sorting them. To sort a permutation, the Little Elephant repeatedly swaps some elements. As a result, he must receive a permutation 1, 2, 3, ..., n.

    This time the Little Elephant has permutation p1, p2, ..., pn. Its sorting program needs to make exactly m moves, during the i-th move it swaps elements that are at that moment located at the ai-th and the bi-th positions. But the Little Elephant's sorting program happened to break down and now on every step it can equiprobably either do nothing or swap the required elements.

    Now the Little Elephant doesn't even hope that the program will sort the permutation, but he still wonders: if he runs the program and gets some permutation, how much will the result of sorting resemble the sorted one? For that help the Little Elephant find the mathematical expectation of the number of permutation inversions after all moves of the program are completed.

    We'll call a pair of integers i, j (1 ≤ i < j ≤ n) an inversion in permutatuon p1, p2, ..., pn, if the following inequality holds: pi > pj.

    Input

    The first line contains two integers n and (1 ≤ n, m ≤ 1000, n > 1) — the permutation size and the number of moves. The second line contains n distinct integers, not exceeding n — the initial permutation. Next m lines each contain two integers: the i-th line contains integers ai and b(1 ≤ ai, bi ≤ n, ai ≠ bi) — the positions of elements that were changed during the i-th move.

    Output

    In the only line print a single real number — the answer to the problem. The answer will be considered correct if its relative or absolute error does not exceed 10 - 6.

    Examples
    input
    2 1
    1 2
    1 2
    output
    0.500000000
    input
    4 3
    1 3 2 4
    1 2
    2 3
    1 4
    output
    3.000000000



    思路:对每一对位置i,j计算 f[i][j](p[i]>=p[j]的概率),当交换a,b位置时 对所有i有:f[i][a]=f[i][b]=(f[i][a]+f[i][b])/2,f[a][i]=f[b][i]=(f[a][i]+f[b][i])/2;
    代码:
     1 #include<bits/stdc++.h>
     2 //#include<regex>
     3 #define db double
     4 #include<vector>
     5 #define ll long long
     6 #define vec vector<ll>
     7 #define Mt  vector<vec>
     8 #define ci(x) scanf("%d",&x)
     9 #define cd(x) scanf("%lf",&x)
    10 #define cl(x) scanf("%lld",&x)
    11 #define pi(x) printf("%d
    ",x)
    12 #define pd(x) printf("%f
    ",x)
    13 #define pl(x) printf("%lld
    ",x)
    14 #define MP make_pair
    15 #define PB push_back
    16 #define inf 0x3f3f3f3f3f3f3f3f
    17 #define fr(i, a, b) for(int i=a;i<=b;i++)
    18 const int N = 1e3 + 5;
    19 const int mod = 1e9 + 7;
    20 const int MOD = mod - 1;
    21 const db eps = 1e-18;
    22 const db PI = acos(-1.0);
    23 using namespace std;
    24 int p[N];
    25 db f[N][N];
    26 int main()
    27 {
    28     int n,m;
    29     ci(n),ci(m);
    30     for(int i=1;i<=n;i++) ci(p[i]);
    31     for(int i=1;i<=n;i++)
    32         for(int j=1;j<=n;j++)
    33             f[i][j]=(p[i]>p[j]);//初始状态
    34     while(m--)
    35     {
    36         int a,b;
    37         ci(a),ci(b);
    38         for(int i=1;i<=n;i++){//更新
    39             if(i!=a&&i!=b){
    40                 f[i][a]=f[i][b]=(f[i][a]+f[i][b])/2;
    41                 f[a][i]=f[b][i]=(f[a][i]+f[b][i])/2;
    42             }
    43         }
    44         f[a][b]=f[b][a]=0.5;
    45     }
    46     db ans=0;
    47     for(int i=1;i<=n;i++){//逆序数对和
    48         for(int j=i+1;j<=n;j++){
    49             ans+=f[i][j];
    50         }
    51     }
    52     pd(ans);
    53     return 0;
    54 }
  • 相关阅读:
    织梦精准搜索自定义字段搜索证书查询
    织梦一个标签获取当前链接url(首页/列表页/列表分页/内容页/内容页分页)
    织梦dede:arclist按最新修改排序orderby=pubdate无效的解决方法
    织梦likearticle让mytypeid支持多个栏目和子栏目
    织梦站内选择和文件管理器中文乱码的解决方法(utf8编码程序包才会)
    WPFDispatcher示例
    WPF 核心体系结构
    WPF扩展标记
    WPF 路由事件
    WPF 自定义路由事件
  • 原文地址:https://www.cnblogs.com/mj-liylho/p/7702226.html
Copyright © 2020-2023  润新知