Antenna Placement
Time Limit: 1000MS   Memory Limit: 65536K
Total Submissions: 10699   Accepted: 5265

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

Source

 
这道题直接用HDU - 4185的代码改一下就好。。。。
 
#include <iostream>
#include <cstdio>
#include <cstring>
#include <iostream>
#include <queue>
#include <algorithm>
#include <vector>
#define mem(a, b) memset(a, b, sizeof(a))
using namespace std;
const int maxn = , INF = 0x7fffffff;
int dx[maxn], dy[maxn], cx[maxn], cy[maxn], used[maxn];
int nx, ny, dis, n;
char str[][];
int gra[][];
vector<int> G[];
int dir[][] = {{,},{-,},{,},{,-}};
int bfs()
{
queue<int> Q;
dis = INF;
mem(dx, -);
mem(dy, -);
for(int i=; i<=nx; i++)
{
if(cx[i] == -)
{
Q.push(i);
dx[i] = ;
}
}
while(!Q.empty())
{
int u = Q.front(); Q.pop();
if(dx[u] > dis) break;
for(int v=; v<G[u].size(); v++)
{
int i=G[u][v];
if(dy[i] == -)
{
dy[i] = dx[u] + ;
if(cy[i] == -) dis = dy[i];
else
{
dx[cy[i]] = dy[i] + ;
Q.push(cy[i]);
}
}
}
}
return dis != INF;
} int dfs(int u)
{
for(int v=; v<G[u].size(); v++)
{
int i = G[u][v];
if(!used[i] && dy[i] == dx[u] + )
{
used[i] = ;
if(cy[i] != - && dis == dy[i]) continue;
if(cy[i] == - || dfs(cy[i]))
{
cy[i] = u;
cx[u] = i;
return ;
}
}
}
return ;
} int hk()
{
int res = ;
mem(cx, -);
mem(cy, -);
while(bfs())
{
mem(used, );
for(int i=; i<=nx; i++)
if(cx[i] == - && dfs(i))
res++;
}
return res;
} int main()
{
int T, kase = ;
cin>> T;
while(T--)
{
mem(gra, );
int ans = ;
for(int i=; i<maxn; i++) G[i].clear();
cin>> n;
for(int i=; i<n; i++)
{
cin>> str[i];
for(int j=; j<n; j++)
{
if(str[i][j] == '#')
gra[i][j] = ++ans; } }
for(int i=; i<n; i++)
{
for(int j=; j<n; j++)
{
if(str[i][j] == '#')
for(int k=; k<; k++)
{
int nx = i + dir[k][];
int ny = j + dir[k][];
if(str[nx][ny] == '#' && nx >= && ny >= && nx < n && ny < n)
G[gra[i][j]].push_back(gra[nx][ny]), G[gra[nx][ny]].push_back(gra[i][j]);
}
}
}
nx = ny = ans;
printf("Case %d: %d\n",++kase, hk()/);
} return ;
}

Antenna Placement POJ - 3020 (最小边集覆盖)的更多相关文章

  1. Antenna Placement POJ - 3020 二分图匹配 匈牙利 拆点建图 最小路径覆盖

    题意:图没什么用  给出一个地图 地图上有 点 一次可以覆盖2个连续 的点( 左右 或者 上下表示连续)问最少几条边可以使得每个点都被覆盖 最小路径覆盖       最小路径覆盖=|G|-最大匹配数 ...

  2. (匹配 二维建图) Antenna Placement --POJ --3020

    链接: http://poj.org/problem?id=3020 http://acm.hust.edu.cn/vjudge/contest/view.action?cid=82834#probl ...

  3. Antenna Placement poj 3020

    Antenna Placement Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 12104   Accepted: 595 ...

  4. Antenna Placement poj 3020(匹配)

    http://poj.org/problem?id=3020 题意:给定一个n*m的矩阵,'*'代表城市,现在想要用1*2的矩阵将所有的城市覆盖,问最少需要多少个矩阵? 分析:先为每个城市进行标号,再 ...

  5. (匹配)Antenna Placement --POJ --3020

    链接: http://poj.org/problem?id=3020 http://acm.hust.edu.cn/vjudge/contest/view.action?cid=82834#probl ...

  6. POJ 3216 最小路径覆盖+floyd

    Repairing Company Time Limit: 1000MS   Memory Limit: 131072K Total Submissions: 6646   Accepted: 178 ...

  7. poj 1548(最小路径覆盖)

    题目链接:http://poj.org/problem?id=1548 思路:最小路径覆盖是很容易想到的(本题就是求最小的路径条数覆盖所有的点),关键是如何建图,其实也不难想到,对于当前点,如果后面的 ...

  8. POJ3020 Antenna Placement —— 最大匹配 or 最小边覆盖

    题目链接:https://vjudge.net/problem/POJ-3020 Antenna Placement Time Limit: 1000MS   Memory Limit: 65536K ...

  9. poj 3216 (最小路径覆盖)

    题意:有n个地方,m个任务,每个任务给出地点,开始的时间和完成需要的时间,问最少派多少工人去可以完成所有的任务.给出任意两点直接到达需要的时间,-1代表不能到达. 思路:很明显的最小路径覆盖问题,刚开 ...

随机推荐

  1. 八,ESP8266 文件保存数据(基于Lua脚本语言)

    https://www.cnblogs.com/yangfengwu/p/7533845.html 应该是LUA介绍8266的最后一篇,,,,,,下回是直接用SDK,,然后再列个12345...... ...

  2. jqgrid 设置隔行换色

    有时,为美观效应,需要设置jqgrid隔行换色.jqgrid提供altRows属性来配置 启动隔行换色:altRows: true,//隔行换色 $("#filterGrid"). ...

  3. kettle学习笔记(七)——kettle流程步骤与应用步骤

    一.概述 流程主要用来控制数据流程与数据流向 应用则是提供一些工具类 二.流程步骤 1.ETL元数据注入 类似Java中的反射,在设计时不知道文件名.文件位置等,在真正执行时才知道具体的一些配置等信息 ...

  4. VS与Opencv的亲密接触之安装配置过程

    最近想把FPGA采集的图像,上传到上位机显示,看到Opencv能帮大忙,所以就折腾折腾! 我用的是VS2012和opencv-2.4.10-2.4.10(目前的最新版本),那个版本无所谓,本文都将适用 ...

  5. Python的进制等转换

    To 十进制 二进制: >>> int('110', 2) -> 6 八进制: >>> int('10', 8) -> 8 十六进制: >> ...

  6. PowerBI开发 第十三篇:增量刷新

    PowerBI 将要解锁增量刷新(Incremental refresh)功能,这是一个令人期待的更新,使得PowerBI可以加载大数据集,并能减少数据的刷新时间和资源消耗,该功能目前处于预览状态,只 ...

  7. web api token验证理解

    最近一直在学习web api authentication,以Jwt为例,可以这样理解,token是身份证,用户名和密码是户口本,身份证是有有效期的(jwt 有过期时间),且携带方便(自己带有所有信息 ...

  8. Hexo站点之域名配置【2】

    该系列博客列表请访问:http://www.cnblogs.com/penglei-it/category/934299.html 摘要 因为Hexo个人博客是托管在github之上,每次访问都要使用 ...

  9. centos7 源码部署LNMP

    一.环境 系统环境:centos 7.4 64位 Nginx:1.7.9 MySQL: 5.7.20 (二进制包) PHP:5.6.37 二.Ngin 安装 Nginx部署 yum install   ...

  10. Altium CAED 国际认证操作题例题(含下载)

    官网介绍页面 https://www.altium.com.cn/certification 共五套操作题 含资料 蓝奏云:https://www.lanzous.com/i2lj1ng 百度网盘:h ...