POJ-1328 Radar Installation
2016-07-23 20:48
375 查看
Radar Installation
Time Limit: 1000MS Memory Limit: 10000K
Total Submissions: 75484 Accepted: 16905
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
![](https://img-blog.csdn.net/20160723204524140)
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
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
思路:
相对原点而言,我们假定x负半周方向为“左”,x正半轴方向为“右”。
我们找一个岛屿能被侦测到的极限范围,在雷达侦测区(圆)的左半圆上或者在雷达侦测区(圆)的右半圆上,换句话说当岛屿到雷达的距离等于d时,
雷达可以位于岛屿的左侧也可以位于雷达的右侧。而这就可以分别确定雷达相对与岛屿x的最左坐标和x最右坐标。
最左为:x - sqrt(d*d-y*y); 最右为:x - sqrt(d*d-y*y);
每个岛屿都有这样的最左和最右可被侦测坐标。
根据贪婪的思想,每次都应该将最右可被侦测坐标作为衡量标准。
假定当前的岛屿为p,当前的下一个为next。
1.如果next的最左可被侦测坐标比p的最右都大的话,只能再设一个雷达来侦测next了。
2.如果next的最左可被侦测坐标比p的最右小,这时会有两种情况。
A.next最右 < cur最右
B.next最右 >= cur最右
对于B情况,我们可以直接侦测到next了, 可以找next的next了.
对于A情况,也就等价于next包含于p, 这样就应该把next的右最为衡量标准了.
因为这样可以左移最右坐标, 可以让可能更多的岛屿被侦测到(他们的最左与衡量标准有更多的交集)
提供一组测试数据:
20 8
-20 7
-18 6
-5 8
-21 8
-15 7
-17 5
-1 5
-2 3
-9 6
1 2
2 3
3 4
4 5
5 6
6 7
7 8
8 7
9 6
10 5
0 0
答案是 4.
代码如下:
Time Limit: 1000MS Memory Limit: 10000K
Total Submissions: 75484 Accepted: 16905
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
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
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
思路:
相对原点而言,我们假定x负半周方向为“左”,x正半轴方向为“右”。
我们找一个岛屿能被侦测到的极限范围,在雷达侦测区(圆)的左半圆上或者在雷达侦测区(圆)的右半圆上,换句话说当岛屿到雷达的距离等于d时,
雷达可以位于岛屿的左侧也可以位于雷达的右侧。而这就可以分别确定雷达相对与岛屿x的最左坐标和x最右坐标。
最左为:x - sqrt(d*d-y*y); 最右为:x - sqrt(d*d-y*y);
每个岛屿都有这样的最左和最右可被侦测坐标。
根据贪婪的思想,每次都应该将最右可被侦测坐标作为衡量标准。
假定当前的岛屿为p,当前的下一个为next。
1.如果next的最左可被侦测坐标比p的最右都大的话,只能再设一个雷达来侦测next了。
2.如果next的最左可被侦测坐标比p的最右小,这时会有两种情况。
A.next最右 < cur最右
B.next最右 >= cur最右
对于B情况,我们可以直接侦测到next了, 可以找next的next了.
对于A情况,也就等价于next包含于p, 这样就应该把next的右最为衡量标准了.
因为这样可以左移最右坐标, 可以让可能更多的岛屿被侦测到(他们的最左与衡量标准有更多的交集)
提供一组测试数据:
20 8
-20 7
-18 6
-5 8
-21 8
-15 7
-17 5
-1 5
-2 3
-9 6
1 2
2 3
3 4
4 5
5 6
6 7
7 8
8 7
9 6
10 5
0 0
答案是 4.
代码如下:
#include <cstdio> #include <algorithm> #include<math.h> #include<string.h> using namespace std; struct dao { double x,y,l,r; }p[1005]; bool cmp(dao a,dao b) { return a.l<b.l; } int main() { int n,d,a=1; while(~scanf("%d%d",&n,&d)&&n||d) { int sum=1; for(int i=0;i<n;i++) { scanf("%lf%lf",&p[i].x,&p[i].y); p[i].l=p[i].x-sqrt(fabs(d*d-p[i].y*p[i].y)); p[i].r=p[i].x+sqrt(fabs(d*d-p[i].y*p[i].y)); if(d<p[i].y) sum=0; } if(!sum) { printf("Case %d: -1\n",a++); continue; } sort(p,p+n,cmp); double z=p[0].r; for(int i=1;i<n;i++) { if(z<p[i].l) { sum++; z=p[i].r; } else { if(p[i].r<z) z=p[i].r; } } printf("Case %d: %d\n",a++,sum); } return 0; }
相关文章推荐
- Redis学习笔记五——启动警告问题的解决
- POJ 2406 Power Strings kmp算法求循环节
- Android开发:日期格式化
- 网络爬虫(一)--抓取天气预报网站城市信息
- 智选物流-API接口平台(淘宝菜鸟、快递鸟)
- 5款可以教你编程的游戏
- APP项目如何与插件化无缝结合(二)
- Android Fragment完全解析
- lucene源码分析---5
- app 启动页面功能
- DotNet/Asp.Net/EF Core
- poj1988 简单并查集
- JS中的全局对象
- 关于Linux grub加密禁止非密码用户进入单用户模式
- Git入门(7)-撤销修改
- 代码搭建记事本框架(二)
- 代码搭建记事本框架(一)
- 记录一下常见的网络连接问题及解决方案
- 网络爬虫(二)--百度贴吧
- localStorage会取代Cookie吗?