D. Bear and Chase

题目连接:

http://codeforces.com/contest/679/problem/D

Description

Bearland has n cities, numbered 1 through n. There are m bidirectional roads. The i-th road connects two distinct cities ai and bi. No two roads connect the same pair of cities. It's possible to get from any city to any other city (using one or more roads).

The distance between cities a and b is defined as the minimum number of roads used to travel between a and b.

Limak is a grizzly bear. He is a criminal and your task is to catch him, or at least to try to catch him. You have only two days (today and tomorrow) and after that Limak is going to hide forever.

Your main weapon is BCD (Bear Criminal Detector). Where you are in some city, you can use BCD and it tells you the distance between you and a city where Limak currently is. Unfortunately, BCD can be used only once a day.

You don't know much about Limak's current location. You assume that he is in one of n cities, chosen uniformly at random (each city with probability ). You decided for the following plan:

Choose one city and use BCD there.

After using BCD you can try to catch Limak (but maybe it isn't a good idea). In this case you choose one city and check it. You win if Limak is there. Otherwise, Limak becomes more careful and you will never catch him (you loose).

Wait 24 hours to use BCD again. You know that Limak will change his location during that time. In detail, he will choose uniformly at random one of roads from his initial city, and he will use the chosen road, going to some other city.

Tomorrow, you will again choose one city and use BCD there.

Finally, you will try to catch Limak. You will choose one city and check it. You will win if Limak is there, and loose otherwise.

Each time when you choose one of cities, you can choose any of n cities. Let's say it isn't a problem for you to quickly get somewhere.

What is the probability of finding Limak, if you behave optimally?

Input

The first line of the input contains two integers n and m (2 ≤ n ≤ 400, ) — the number of cities and the number of roads, respectively.

Then, m lines follow. The i-th of them contains two integers ai and bi (1 ≤ ai, bi ≤ n, ai ≠ bi) — cities connected by the i-th road.

No two roads connect the same pair of cities. It's possible to get from any city to any other city.

Output

Print one real number — the probability of finding Limak, if you behave optimally. Your answer will be considered correct if its absolute error does not exceed 10 - 6.

Namely: let's assume that your answer is a, and the answer of the jury is b. The checker program will consider your answer correct if |a - b| ≤ 10 - 6.

Sample Input

3 3

1 2

1 3

2 3

Sample Output

0.833333333333

Hint

题意

有一个人,在一个图里面开始找罪犯了。

这个人有两天的抓捕机会,他会在每一天都有机会使用BCD机器,这个BCD机器会返回这个罪犯离他的距离是多少。

当然这个人要么在第一天去抓罪犯,要么在第二天去抓罪犯。

这个罪犯也不是一个傻逼,如果那个人第一天不抓他的话,那么第二天的时候,这个罪犯就会转移阵地。

然后现在问你,在最佳情况下,这个人抓住这个罪犯的概率是多少?

题解:

考虑最暴力的情况,枚举罪犯第一天哪儿,第二天在哪儿,枚举警察第一天在哪儿使用BCD,第二天在哪儿使用BCD

这个复杂度是n^4的,显然过不了,但是显然是对的。

我们优化一下。

暴力枚举这个警察第一天在哪儿使用BCD的地点A,暴力枚举BCD返回的距离a,再暴力枚举第二天使用BCD的地点B。

显然罪犯只有可能出现在三种位置,就是距离A地点距离为a,a-1,a+1的三个地方。

这样优化了一下之后,复杂度就变成n^3了,就可以直接莽过去了。

代码

#include<bits/stdc++.h>
using namespace std;
const double eps = 1e-6;
const int maxn = 405;
int d[maxn][maxn],n,m;
double dis[maxn];
double posi[maxn];
vector<int> E[maxn];
vector<int> f;
void TAT()
{
memset(d,127,sizeof(127));
}
double next(int p,int di)
{
double ans = 0;
memset(posi,0,sizeof(posi)); for(int i=1;i<=n;i++)
if(d[p][i]==di)
for(auto v:E[i])
posi[v]+=1./n/E[i].size(); f.clear(); for(int i=1;i<=n;i++)
if(posi[i]>eps)
f.push_back(i); for(int i=1;i<=n;i++)
{
double tmp = 0;
for(auto v:f)
dis[d[i][v]]=max(dis[d[i][v]],posi[v]);
for(auto v:f)
{
tmp+=dis[d[i][v]];
dis[d[i][v]]=0;
}
ans=max(ans,tmp);
}
return ans;
}
void QAQ()
{
scanf("%d%d",&n,&m);
for(int i=1;i<=n;i++)
for(int j=1;j<=n;j++)
if(i!=j)d[i][j]=n+1;
for(int i=1;i<=m;i++)
{
int a,b;
scanf("%d%d",&a,&b);
d[a][b]=1;
d[b][a]=1;
E[a].push_back(b);
E[b].push_back(a);
} for(int k=1;k<=n;k++)
for(int i=1;i<=n;i++)
for(int j=1;j<=n;j++)
d[i][j]=min(d[i][j],d[i][k]+d[k][j]); double ans = 0; for(int i=1;i<=n;i++)
{
double tmp = 0;
for(int di=0;di<n;di++)
{
int cnt = 0;
for(int j=1;j<=n;j++)if(d[i][j]==di)cnt++;
if(cnt==0)continue;
double day1 = 1./n;
double day2 = next(i,di);
tmp+=max(day1,day2);
}
ans=max(ans,tmp);
}
printf("%.12f\n",ans);
}
int main()
{
TAT();
QAQ();
return 0;
}

Codeforces Round #356 (Div. 1) D. Bear and Chase 暴力的更多相关文章

  1. Codeforces Round #356 (Div. 2) C. Bear and Prime 100(转)

    C. Bear and Prime 100 time limit per test 1 second memory limit per test 256 megabytes input standar ...

  2. Codeforces Round #356 (Div. 2)B. Bear and Finding Criminals(水题)

    B. Bear and Finding Criminals time limit per test 2 seconds memory limit per test 256 megabytes inpu ...

  3. Codeforces Round #356 (Div. 2)A. Bear and Five Cards(简单模拟)

    A. Bear and Five Cards time limit per test 2 seconds memory limit per test 256 megabytes input stand ...

  4. Codeforces Round #356 (Div. 2) E. Bear and Square Grid 滑块

    E. Bear and Square Grid 题目连接: http://www.codeforces.com/contest/680/problem/E Description You have a ...

  5. Codeforces Round #356 (Div. 2) D. Bear and Tower of Cubes dfs

    D. Bear and Tower of Cubes 题目连接: http://www.codeforces.com/contest/680/problem/D Description Limak i ...

  6. Codeforces Round #356 (Div. 2) C. Bear and Prime 100 水题

    C. Bear and Prime 100 题目连接: http://www.codeforces.com/contest/680/problem/C Description This is an i ...

  7. Codeforces Round #356 (Div. 2) B. Bear and Finding Criminal 水题

    B. Bear and Finding Criminals 题目连接: http://www.codeforces.com/contest/680/problem/B Description Ther ...

  8. Codeforces Round #356 (Div. 2) A. Bear and Five Cards 水题

    A. Bear and Five Cards 题目连接: http://www.codeforces.com/contest/680/problem/A Description A little be ...

  9. Codeforces Round #356 (Div. 1) C. Bear and Square Grid

    C. Bear and Square Grid time limit per test 3 seconds memory limit per test 256 megabytes input stan ...

随机推荐

  1. Redis—数据结构之sds

    Redis是一个Key Value数据库.Redis有5种数据类型:字符串.列表.哈希.集合.有序集合.而字符串的底层实现方法之一就是使用sds.以下描述中请读者注意区分sds是指简单动态字符串这一数 ...

  2. APUE-文件和目录(八)文件时间

    文件的时间 与文件相关的三个时间值: 访问时间:最后一次访问文件的时间.例如,cat命令会修改这个时间. 修改时间:文件内容最后一次被修改的时间. 状态更改时间:文件的i节点最后一次被修改的时间.例如 ...

  3. WebApi Owin SelfHost OAuth2 - 授权服务和资源服务分离方案

    使用JWT 参考:http://www.cnblogs.com/grissom007/p/6294746.html

  4. day06作业

    一.方法 1.方法是完成特定功能的代码块. 修饰符  返回值类型  方法类型(参数类型  参数名1,参数类型  参数名2,...){ 方法体语句: return返回值: } 修饰符:目前就用publi ...

  5. 洛谷P3396哈希冲突

    传送门啦 非常神奇的分块大法. 这个题一看数据范围,觉得不小,但是如果我们以 $ \sqrt(x) $ 为界限,数据范围就降到了 $ x < 400 $ 我们设数组 $ f[i][j] $ 表示 ...

  6. 工具类DateHandler

    package com.ctid.rachel.core.util; import java.math.BigDecimal;import java.util.Calendar;import java ...

  7. Elasticsearch的相关知识

    Elasticsearch的备份和恢复 http://keenwon.com/1393.html ETL kettle 数据转成json 发送POST请求 http://blog.csdn.net/a ...

  8. 使用celery时要注意的任务调用形式

    因为之前,一直用django和celery紧密集成,不分家. 所以使用时参考了网上的配置之后,没有变更过. 最近,和洪军想用k8s的pod重新规划系统构架时,这个问题才又浮了出来. 只是我们的task ...

  9. Spark(十六)DataSet

    Spark最吸引开发者的就是简单易用.跨语言(Scala, Java, Python, and R)的API. 本文主要讲解Apache Spark 2.0中RDD,DataFrame和Dataset ...

  10. 自己封装的php Curl并发处理,欢迎提出问题优化。

    因为项目需要,发现一个一个发送请求实在太慢,无奈之下,我们可以封装一个并发处理的curl请求批处理句柄来减少重复创建句柄的问题 代码如下: /* *@param array $data url的参数 ...