Time Limit: 1000MS   Memory Limit: 65536K
Total Submissions: 6334   Accepted: 3125

Description

The Global Aerial Research Centre has been allotted the task of building the fifth generation of mobile phone nets in Sweden. The most striking reason why they got the job, is their discovery of a new, highly noise resistant, antenna. It is called 4DAir, and
comes in four types. Each type can only transmit and receive signals in a direction aligned with a (slightly skewed) latitudinal and longitudinal grid, because of the interacting electromagnetic field of the earth. The four types correspond to antennas operating
in the directions north, west, south, and east, respectively. Below is an example picture of places of interest, depicted by twelve small rings, and nine 4DAir antennas depicted by ellipses covering them. 
 
Obviously, it is desirable to use as few antennas as possible, but still provide coverage for each place of interest. We model the problem as follows: Let A be a rectangular matrix describing the surface of Sweden, where an entry of A either is a point of interest,
which must be covered by at least one antenna, or empty space. Antennas can only be positioned at an entry in A. When an antenna is placed at row r and column c, this entry is considered covered, but also one of the neighbouring entries (c+1,r),(c,r+1),(c-1,r),
or (c,r-1), is covered depending on the type chosen for this particular antenna. What is the least number of antennas for which there exists a placement in A such that all points of interest are covered? 

Input

On the first row of input is a single positive integer n, specifying the number of scenarios that follow. Each scenario begins with a row containing two positive integers h and w, with 1 <= h <= 40 and 0 < w <= 10. Thereafter is a matrix presented, describing
the points of interest in Sweden in the form of h lines, each containing w characters from the set ['*','o']. A '*'-character symbolises a point of interest, whereas a 'o'-character represents open space. 

Output

For each scenario, output the minimum number of antennas necessary to cover all '*'-entries in the scenario's matrix, on a row of its own.

Sample Input

2
7 9
ooo**oooo
**oo*ooo*
o*oo**o**
ooooooooo
*******oo
o*o*oo*oo
*******oo
10 1
*
*
*
o
*
*
*
*
*
*

Sample Output

17
5

好吧。

做了几道简单的匈牙利算法和简单的最小覆盖。。最终遇到一道纠结的题了。。

这题目我看了小优酱的题意解析(Orz) 点击打开链接 小优酱写解题报告真的非常具体。。

从他(她)那里我学到了非常多东西。。在此十分感谢。。尽管他(她)都不知道我。。(233)

无向二分图的最小路径覆盖 = 顶点数 – 最大二分匹配数/2


#include<cstdio>
#include<cstring>
#include<algorithm>
#include<iostream> using namespace std; const int M = 1000 + 5;
int dx[]= {-1,1,0,0};
int dy[]= {0,0,-1,1}; int t, m, n; //输入数据
int link[M]; //用于推断是否为饱和点。
int city[M][M]; //用于记录城市
int v1, v2; //拆分后建立的图
int sum; //城市的总数
bool MAP[M][M]; //建立后的图
bool cover[M]; //用于查看是否为覆盖点
int ans; //最大分配值
char str; //用于输入字符串 bool dfs(int x) //匈牙利算法
{
for(int y=1; y<=v2; y++)
{
if(MAP[x][y] && !cover[y])
{
cover[y]=true;
if(!link[y] || dfs( link[y] ))
{
link[y]=x;
return true;
}
}
}
return false;
} int main()
{
scanf("%d", &t);
while( t-- )
{
memset(city, 0, sizeof(city));
memset(link, 0, sizeof(link));
memset(MAP, false, sizeof(MAP));
ans=0;
v1=0;
v2=0;
sum=0;
scanf("%d%d", &n, &m);
for(int i=1; i<=n; i++)
for(int j=1; j<=m; j++)
{
cin>>str;
if(str=='*')
{
city[i][j]=++sum;
}
}
for(int i=1; i<=n; i++)
for(int j=1; j<=m; j++)
if(city[i][j])
for(int k=0; k<4; k++)
if(city[ i + dx[k]][j + dy[k]])
MAP[ city[i][j] ] [ city[i + dx[k]] [ j + dy[k]] ] = true;
v1=v2=sum;
for(int i=1; i<=v1; i++)
{
memset(cover, false, sizeof(cover));
if( dfs(i) )
ans++;
}
printf("%d\n", sum-ans/2); //无向二分图:最小路径覆盖数 = "拆点"前原图的顶点数 - 最大匹配数/2
} return 0;
}

POJ 3020:Antenna Placement(无向二分图的最小路径覆盖)的更多相关文章

  1. POJ 3020 Antenna Placement(无向二分图的最小路径覆盖)

    ( ̄▽ ̄)" //无向二分图的最小路径覆盖数=顶点总数-最大匹配数/2(最大匹配数=最小点覆盖数) //这里最大匹配数需要除以2,因为每两个相邻的*连一条边,即<u,v>和< ...

  2. POJ 3020 Antenna Placement 最大匹配

    Antenna Placement Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 6445   Accepted: 3182 ...

  3. poj 3020 Antenna Placement(二分无向图 匈牙利)

    Antenna Placement Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 6438   Accepted: 3176 ...

  4. POJ:3020-Antenna Placement(二分图的最小路径覆盖)

    原题传送:http://poj.org/problem?id=3020 Antenna Placement Time Limit: 1000MS Memory Limit: 65536K Descri ...

  5. Antenna Placement(匈牙利算法 ,最少路径覆盖)

    Antenna Placement Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 6991   Accepted: 3466 ...

  6. 二分图最大匹配(匈牙利算法) POJ 3020 Antenna Placement

    题目传送门 /* 题意:*的点占据后能顺带占据四个方向的一个*,问最少要占据多少个 匈牙利算法:按坐标奇偶性把*分为两个集合,那么除了匹配的其中一方是顺带占据外,其他都要占据 */ #include ...

  7. POJ 3020 Antenna Placement (二分图最小路径覆盖)

    <题目链接> 题目大意:一个矩形中,有N个城市’*’,现在这n个城市都要覆盖无线,每放置一个基站,至多可以覆盖相邻的两个城市.问至少放置多少个基站才能使得所有的城市都覆盖无线? 解题分析: ...

  8. poj 3020 Antenna Placement (最小路径覆盖)

    链接:poj 3020 题意:一个矩形中,有n个城市'*'.'o'表示空地,如今这n个城市都要覆盖无线,若放置一个基站, 那么它至多能够覆盖本身和相邻的一个城市,求至少放置多少个基站才干使得全部的城市 ...

  9. POJ 1422 Air Raid(二分图匹配最小路径覆盖)

    POJ 1422 Air Raid 题目链接 题意:给定一个有向图,在这个图上的某些点上放伞兵,能够使伞兵能够走到图上全部的点.且每一个点仅仅被一个伞兵走一次.问至少放多少伞兵 思路:二分图的最小路径 ...

随机推荐

  1. 修改xampp中的MySQL密码

    1.开启MySQL服务后,点击XAMPP Control Panel上的Admin按钮 2.依次点击"账户"--最后一个"修改权限"--修改密码 3.输入两次相 ...

  2. Electron 无边框窗口最大化最小化关闭功能

    Electron 无边框窗口最大化最小化关闭功能 目的 实现无边框窗口,并添加最大化最小化和关闭功能 前提 了解Electron 主进程和渲染进程的通讯 了解 BrowserWindow相关功能 操作 ...

  3. 在vCenter上创建新用户 (适用版本6.0)

  4. JVM内存组成

    JVM的内存区域模型 1.方法区 也称永久代.非堆. 用于存储虚拟机加载的类信息.常量.静态变量,是各个线程共享的内存区域. 默认最小值为16MB,最大值为64MB,可以通过-XX:PermSize和 ...

  5. day19 python模块 json模块 pickle模块

    day19 python   一.序列化模块     序列类型: 列表 字符串 元组 bytes     序列化: 特指字符串和bytes, 就是把其他的数据类型转化成序列的数据类型的过程 dic = ...

  6. [CodeForces - 1225E]Rock Is Push 【dp】【前缀和】

    [CodeForces - 1225E]Rock Is Push [dp][前缀和] 标签:题解 codeforces题解 dp 前缀和 题目描述 Time limit 2000 ms Memory ...

  7. MetaException(message:For direct MetaStore DB connections, we don't support retries at the client level.)

    在mysql中执行以下命令:  drop database hive;  create database hive;  alter database hive character set latin1 ...

  8. 太可怕了!黑客是如何攻击劫持安卓用户的DNS?

    最近发现的针对Android设备的广泛路由器的DNS劫持恶意软件现在已升级为针对iOS设备以及桌面用户的功能. 被称为RoamingMantis的恶意软件最初发现在上个月劫持了互联网路由器,以散布旨在 ...

  9. 爬虫技术:cookies池的维护

    一:为什么要维护cookie 1.登录才能爬取内容 2.爬取频繁会被封号. 3.需要维护多个账号的cookie,实现大规模抓取 二:cookies的要求 1.自动登录更新 2.定期筛选验证 3.提供外 ...

  10. wxpython 文本框TextCtrl

    path_text = wx.TextCtrl(frame, pos=(5, 5), size=(350, 24))最常用的两个函数:path = path_text.GetValue() conte ...