Rain on your Parade

Time Limit: 6000/3000 MS (Java/Others)    Memory Limit: 655350/165535 K (Java/Others)
Total Submission(s): 2154    Accepted Submission(s): 662

Problem Description
You’re giving a party in the garden of your villa by the sea. The party is a huge success, and everyone is here. It’s a warm, sunny evening, and a soothing wind sends fresh, salty air from the sea. The evening is progressing just as you had imagined. It could be the perfect end of a beautiful day.
But nothing ever is perfect. One of your guests works in weather forecasting. He suddenly yells, “I know that breeze! It means its going to rain heavily in just a few minutes!” Your guests all wear their best dresses and really would not like to get wet, hence they stand terrified when hearing the bad news.
You have prepared a few umbrellas which can protect a few of your guests. The umbrellas are small, and since your guests are all slightly snobbish, no guest will share an umbrella with other guests. The umbrellas are spread across your (gigantic) garden, just like your guests. To complicate matters even more, some of your guests can’t run as fast as the others.
Can you help your guests so that as many as possible find an umbrella before it starts to pour?

Given the positions and speeds of all your guests, the positions of the umbrellas, and the time until it starts to rain, find out how many of your guests can at most reach an umbrella. Two guests do not want to share an umbrella, however.

 
Input
The input starts with a line containing a single integer, the number of test cases.
Each test case starts with a line containing the time t in minutes until it will start to rain (1 <=t <= 5). The next line contains the number of guests m (1 <= m <= 3000), followed by m lines containing x- and y-coordinates as well as the speed si in units per minute (1 <= si <= 3000) of the guest as integers, separated by spaces. After the guests, a single line contains n (1 <= n <= 3000), the number of umbrellas, followed by n lines containing the integer coordinates of each umbrella, separated by a space.
The absolute value of all coordinates is less than 10000.
 
Output
For each test case, write a line containing “Scenario #i:”, where i is the number of the test case starting at 1. Then, write a single line that contains the number of guests that can at most reach an umbrella before it starts to rain. Terminate every test case with a blank line.
 
Sample Input
2
1
2
1 0 3
3 0 3
2
4 0
6 0
1
2
1 1 2
3 3 2
2
2 2
4 4
 
Sample Output
Scenario #1:
2

Scenario #2:
2

 
Source
 
Recommend
lcy
 

Hopcroft-Carp算法

测试下模板,还是很快的

#include <stdio.h>
#include <algorithm>
#include <iostream>
#include <string.h>
#include <vector>
#include <queue>
using namespace std;
/* *******************************
* 二分图匹配(Hopcroft-Carp算法)
* 复杂度O(sqrt(n)*E)
* 邻接表存图,vector实现
* vector先初始化,然后假如边
* uN 为左端的顶点数,使用前赋值(点编号0开始)
*/
const int MAXN = ;
const int INF = 0x3f3f3f3f;
vector<int>G[MAXN];
int uN; int Mx[MAXN],My[MAXN];
int dx[MAXN],dy[MAXN];
int dis;
bool used[MAXN];
bool SearchP()
{
queue<int>Q;
dis = INF;
memset(dx,-,sizeof(dx));
memset(dy,-,sizeof(dy));
for(int i = ; i < uN; i++)
if(Mx[i] == -)
{
Q.push(i);
dx[i] = ;
}
while(!Q.empty())
{
int u = Q.front();
Q.pop();
if(dx[u] > dis)break;
int sz = G[u].size();
for(int i = ;i < sz;i++)
{
int v = G[u][i];
if(dy[v] == -)
{
dy[v] = dx[u] + ;
if(My[v] == -)dis = dy[v];
else
{
dx[My[v]] = dy[v] + ;
Q.push(My[v]);
}
}
}
}
return dis != INF;
}
bool DFS(int u)
{
int sz = G[u].size();
for(int i = ;i < sz;i++)
{
int v = G[u][i];
if(!used[v] && dy[v] == dx[u] + )
{
used[v] = true;
if(My[v] != - && dy[v] == dis)continue;
if(My[v] == - || DFS(My[v]))
{
My[v] = u;
Mx[u] = v;
return true;
}
}
}
return false;
}
int MaxMatch()
{
int res = ;
memset(Mx,-,sizeof(Mx));
memset(My,-,sizeof(My));
while(SearchP())
{
memset(used,false,sizeof(used));
for(int i = ;i < uN;i++)
if(Mx[i] == - && DFS(i))
res++;
}
return res;
} struct Point
{
int x,y,s;
void input1()
{
scanf("%d%d%d",&x,&y,&s);
}
void input2()
{
scanf("%d%d",&x,&y);
}
};
int dis2(Point a,Point b)
{
return (a.x-b.x)*(a.x-b.x)+(a.y-b.y)*(a.y-b.y);
}
Point p1[MAXN],p2[MAXN]; int main()
{
int T;
int t;
int iCase = ;
int n,m;
scanf("%d",&T);
while(T--)
{
iCase++;
scanf("%d",&t);
scanf("%d",&n);
for(int i = ;i < n;i++)
p1[i].input1();
scanf("%d",&m);
for(int i = ;i < m;i++)
p2[i].input2();
for(int i = ;i < n;i++)
G[i].clear();
uN = n;
for(int i = ;i < n;i++)
for(int j = ;j < m;j++)
if(dis2(p1[i],p2[j]) <= p1[i].s*p1[i].s*t*t)
G[i].push_back(j);
printf("Scenario #%d:\n",iCase);
printf("%d\n\n",MaxMatch());
}
return ;
}

HDU 2389 Rain on your Parade(二分匹配,Hopcroft-Carp算法)的更多相关文章

  1. HDU 2389 Rain on your Parade / HUST 1164 4 Rain on your Parade(二分图的最大匹配)

    HDU 2389 Rain on your Parade / HUST 1164 4 Rain on your Parade(二分图的最大匹配) Description You're giving a ...

  2. Hdu 3289 Rain on your Parade (二分图匹配 Hopcroft-Karp)

    题目链接: Hdu 3289 Rain on your Parade 题目描述: 有n个客人,m把雨伞,在t秒之后将会下雨,给出每个客人的坐标和每秒行走的距离,以及雨伞的位置,问t秒后最多有几个客人可 ...

  3. HDU 2389 ——Rain on your Parade——————【Hopcroft-Karp求最大匹配、sqrt(n)*e复杂度】

    Rain on your Parade Time Limit:3000MS     Memory Limit:165535KB     64bit IO Format:%I64d & %I64 ...

  4. hdu-2389.rain on your parade(二分匹配HK算法)

    Rain on your Parade Time Limit: 6000/3000 MS (Java/Others)    Memory Limit: 655350/165535 K (Java/Ot ...

  5. HDU 2389 Rain on your Parade

    大意:在一个二维坐标系上有nx个人和ny把伞,每个人都有自己的移动速度,问有多少人可以再 time 时间内移动到不同的雨伞处(不允许两个人共用一把伞).   输入数据: 第一行是一个T代表T组测试数据 ...

  6. HDU 2389 Rain on your Parade 最大匹配(模板题)【HK算法】

    <题目链接> 题目大意:有m个宾客,n把雨伞,预计时间t后将会下大雨,告诉你每个宾客的位置和速度,每把雨伞的位置,问你最多几个宾客能够拿到伞. 解题分析: 本题就是要我们求人与伞之间的最大 ...

  7. HDU 1150:Machine Schedule(二分匹配,匈牙利算法)

    Machine Schedule Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others) ...

  8. HDOJ 2389 Rain on your Parade

     HK.... Rain on your Parade Time Limit: 6000/3000 MS (Java/Others)    Memory Limit: 655350/165535 K ...

  9. HDU 6178 Monkeys(树上的二分匹配)

    http://acm.hdu.edu.cn/showproblem.php?pid=6178 题意:现在有一n个顶点的树形图,还有k只猴子,每个顶点只能容纳一只猴子,而且每只猴子至少和另外一只猴子通过 ...

随机推荐

  1. Linux系统各发行版镜像下载(持续更新)

    Linux系统各发行版镜像下载(持续更新) http://www.linuxidc.com/Linux/2007-09/7399.htm Linux系统各发行版镜像下载(2014年10月更新),如果直 ...

  2. C基础 算法实现层面套路

    引言 - 从实践狗讲起 理论到实践(有了算法到实现) 中间有很多过程. 算法方面本人啥也不懂, 只能说说实现方面. 例如下面 一个普通的插入排序. // // 插入排序默认从大到小 // extern ...

  3. [New learn]SDWebImage框架的基本使用

    代码:https://github.com/xufeng79x/SDWebImage 1.简介 SDWebImage是一个第三方框架,它能够帮助我们有效管理应用图片下载,沙盒保存和内存保存的任务.通过 ...

  4. [ Python ] 文件的读写操作

    1. 文件读写操作 读写文件是最常见的 IO 操作, Python 内置了读写文件的函数.在磁盘上读写文件的功能是由操作系统提供的,所以读写文件是请求操作系统打开一个文件对象(通常称为文件描述符),然 ...

  5. 20:django中的安全问题

    本节主要是讲解django中的安全特性,讲述django是如何应对网站一般面临的安全性问题 跨站点脚本(XXS)攻击 跨站点脚本攻击是指一个用户把客户端脚本注入到其他用户的浏览器中.通常是通过在数据库 ...

  6. sharding-JDBC 实现读写分离

    需求 一主两从,做读写分离. 多个从库之间实现负载均衡. 可手动强制部分读请求到主库上.(因为主从同步有延迟,对实时性要求高的系统,可以将部分读请求也走主库) 本次不讨论 MySQL如何配置主从同步相 ...

  7. connect-falsh的用法

    借鉴博客 http://yunkus.com/connect-flash-usage/

  8. PHP的命名空间namespace

    对于命名空间,官方文档已经说得很详细[查看],我在这里做了一下实践和总结. 命名空间一个最明确的目的就是解决重名问题,PHP中不允许两个函数或者类出现相同的名字,否则会产生一个致命的错误.这种情况下只 ...

  9. css自媒体查询

    准备工作1:设置Meta标签 首先我们在使用Media的时候需要先设置下面这段代码,来兼容移动设备的展示效果: <meta name="viewport" content=& ...

  10. MS SQL Server迁移至Azure SQL

    SQL Server的数据目前是存在于公司服务器的,现时需要将它迁移至Azure SQL 迁移分两种 数据库结构复制 数据库结构复制与数据迁移至Azure SQL 第1种方法针对的是将现有数据库创建新 ...