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

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
无向二分图的最小路径覆盖 = 顶点数 – 最大二分匹配数/2
#include<iostream>
#include<cstring>
using namespace std;
#define M 405
int a[M][M],b[M][M];
int p;
int v[M],f[M];
int w[4][2]={0,1,0,-1,1,0,-1,0};
int fi(int x)
{
for(int i=1;i<=p;i++)
if(!v[i] && b[x][i])
{
v[i]=1;
if(!f[i] || fi(f[i]))
{
f[i]=x;
return 1;
}
}
return 0;
}
int main()
{
int T;
cin>>T;getchar();
while(T--)
{
memset(a,0,sizeof(a));
memset(b,0,sizeof(b));
memset(f,0,sizeof(f));
int n,m;
cin>>n>>m;
int i,j;
char c;
p=0;
for(i=1;i<=n;i++)
{
for(j=1;j<=m;j++)
{
cin>>c;
if(c=='*')
a[i][j]=++p;
}
getchar();
}
for(i=1;i<=n;i++)
for(j=1;j<=m;j++)
if(a[i][j]) for(int q=0;q<4;q++)
{
int x=i+w[q][0];
int y=j+w[q][1];
if(a[x][y])
b[a[i][j]][a[x][y]]=1;
}
int sum=0;
for(i=1;i<=p;i++)
{
memset(v,0,sizeof(v));
if(fi(i)) sum++;
}
cout<<p-sum/2<<endl;
}
return 0;
}
全球空中研究中心被委以建设瑞典第五代移动电话网络的任务,他们发现了一种新的抗噪天线4DAir,该天线有四种类型,分别指向北、西、南、东。问题是找到最少数量的天线,以便所有感兴趣的地点都被覆盖。本文介绍了一个基于矩阵的模型来解决这个问题,并提供了一个算法实现。
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