Radar Installation
| Time Limit: 1000MS | Memory Limit: 10000K | |
| Total Submissions: 36401 | Accepted: 8092 |
Description
Assume the coasting is an infinite straight line. Land is in one side of coasting, sea in the other. Each small island is a point locating in the sea side. And any radar installation, locating on the coasting, can only cover d distance, so an island in the sea can be covered by a radius installation, if the distance between them is at most d.
We use Cartesian coordinate system, defining the coasting is the x-axis. The sea side is above x-axis, and the land side below. Given the position of each island in the sea, and given the distance of the coverage of the radar installation, your task is to write a program to find the minimal number of radar installations to cover all the islands. Note that the position of an island is represented by its x-y coordinates.
Figure A Sample Input of Radar Installations
We use Cartesian coordinate system, defining the coasting is the x-axis. The sea side is above x-axis, and the land side below. Given the position of each island in the sea, and given the distance of the coverage of the radar installation, your task is to write a program to find the minimal number of radar installations to cover all the islands. Note that the position of an island is represented by its x-y coordinates.
Figure A Sample Input of Radar Installations
Input
The input consists of several test cases. The first line of each case contains two integers n (1<=n<=1000) and d, where n is the number of islands in the sea and d is the distance of coverage of the radar installation. This is followed by n lines each containing two integers representing the coordinate of the position of each island. Then a blank line follows to separate the cases.
The input is terminated by a line containing pair of zeros
The input is terminated by a line containing pair of zeros
Output
For each test case output one line consisting of the test case number followed by the minimal number of radar installations needed. "-1" installation means no solution for that case.
Sample Input
3 2 1 2 -3 1 2 1 1 2 0 2 0 0
Sample Output
Case 1: 2 Case 2: 1
Source
解题思路:貌似很有名的一题,之前听人讲过,用的是贪心,对于每个岛屿其雷达点可设在[x-sqrt(d*d-y*y),x+sqrt(d*d-y*y)]的区间内,先对所有区间的左坐标进行排序(这里我欺负POJ测试数据弱就没有用快排了
),然后设置雷达位置为第一个区间的右坐标,若雷达位置在后一个区间的左坐标之前(即两区间没有交集),就增设一个雷达,同时把该雷达部署到后一个区间的右坐标位置,否则,若后一个区间右坐标小于原雷达位置,就把原雷达改为部署到后一个区间的右坐标位置,不然,则原雷达位置不变。需要注意的两点是边界条件的判断和精度的确保,对前者大家说法不一,而我则是把y<0,d<=0,d<y,三种情况都加以考虑,后者关键是用于存区间的数组,点的坐标,雷达位置均要用浮点型表示(我在这里WA一次)。
#include<iostream>
#include<cmath>
using namespace std;
int main()
{
int i,j,island,ans,test=1;
double x,y,d,R,*l,*r;
bool flag;
while(cin>>island>>d&&(island||d))
{
ans=1;flag=true;
if(d<=0) flag=false;
l=new double[island+1];
r=new double[island+1];
memset(l,0,sizeof(l));
memset(r,0,sizeof(r));
for(i=0;i<island;i++)
{
cin>>x>>y;
if(y>d||y<0) flag=false;
l[i]=x-sqrt(1.0*d*d-y*y);
r[i]=x+sqrt(1.0*d*d-y*y);
}
if(flag)
{
for(i=0;i<island;i++)
for(j=i+1;j<island;j++)
if(l[i]>l[j])
{
swap(l[i],l[j]);
swap(r[i],r[j]);
}
R=r[0];
for(i=1;i<island;i++)
{
if(R<l[i])
{
ans++;
R=r[i];
}
else if(R>r[i])
R=r[i];
}
cout<<"Case "<<test<<": "<<ans<<endl;
}
else
cout<<"Case "<<test<<": "<<-1<<endl;
test++;
}
delete l;
delete r;
return 0;
}
本文探讨了在海岸线上安装雷达以覆盖海中岛屿的问题。通过贪心算法确定最少雷达数量,实现全面覆盖。考虑到坐标排序和边界条件,确保了算法的有效性和准确性。
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