On a grid map there are n little men and n houses. In each unit time, every little man can move one unit step, either horizontally, or vertically, to an adjacent point. For each little man, you need to pay a $1 travel fee for every step he moves, until he enters a house. The task is complicated with the restriction that each house can accommodate only one little man.

Your task is to compute the minimum amount of money you need to pay in order to send these n little men into those n different houses. The input is a map of the scenario, a '.' means an empty space, an 'H' represents a house on that point, and am 'm' indicates there is a little man on that point. 

You can think of each point on the grid map as a quite large square, so it can hold n little men at the same time; also, it is okay if a little man steps on a grid with a house without entering that house.

Input

There are one or more test cases in the input. Each case starts with a line giving two integers N and M, where N is the number of rows of the map, and M is the number of columns. The rest of the input will be N lines describing the map. You may assume both N and M are between 2 and 100, inclusive. There will be the same number of 'H's and 'm's on the map; and there will be at most 100 houses. Input will terminate with 0 0 for N and M.

Output

For each test case, output one line with the single integer, which is the minimum amount, in dollars, you need to pay.

Sample Input

2 2
.m
H.
5 5
HH..m
.....
.....
.....
mm..H
7 8
...H....
...H....
...H....
mmmHmmmm
...H....
...H....
...H....
0 0

Sample Output

2
10
28 这个题目难在建图,就是把每一个人的位置,和每一个房子连起来,容量为1,费用为两个之间的距离。
然后就跑一个最小费用最大流就可以了。
#include <cstdio>
#include <cstdlib>
#include <queue>
#include <vector>
#include <iostream>
#include <algorithm>
#include <map>
#include <cstring>
#include <cmath>
#include <string>
#define inf 0x3f3f3f3f
using namespace std;
typedef long long ll;
const int INF = 0x3f3f3f3f;
const int maxn = + ;
struct edge
{
int u, v, c, f, cost;
edge(int u, int v, int c, int f, int cost) :u(u), v(v), c(c), f(f), cost(cost) {}
};
vector<edge>e;
vector<int>G[maxn];
int a[maxn];//找增广路每个点的水流量
int p[maxn];//每次找增广路反向记录路径
int d[maxn];//SPFA算法的最短路
int inq[maxn];//SPFA算法是否在队列中
int s, t;
void init()
{
for (int i = ; i <= maxn; i++)G[i].clear();
e.clear();
}
void add(int u, int v, int c, int cost)
{
e.push_back(edge(u, v, c, , cost));
e.push_back(edge(v, u, , , -cost));
int m = e.size();
G[u].push_back(m - );
G[v].push_back(m - );
}
bool bellman(int s, int t, int& flow, long long & cost)
{
memset(d, inf, sizeof(d));
memset(inq, , sizeof(inq));
d[s] = ; inq[s] = ;//源点s的距离设为0,标记入队
p[s] = ; a[s] = INF;//源点流量为INF(和之前的最大流算法是一样的) queue<int>q;//Bellman算法和增广路算法同步进行,沿着最短路拓展增广路,得出的解一定是最小费用最大流
q.push(s);
while (!q.empty())
{
int u = q.front();
q.pop();
inq[u] = ;//入队列标记删除
for (int i = ; i < G[u].size(); i++)
{
edge & now = e[G[u][i]];
int v = now.v;
if (now.c > now.f && d[v] > d[u] + now.cost)
//now.c > now.f表示这条路还未流满(和最大流一样)
//d[v] > d[u] + e.cost Bellman 算法中边的松弛
{
d[v] = d[u] + now.cost;//Bellman 算法边的松弛
p[v] = G[u][i];//反向记录边的编号
a[v] = min(a[u], now.c - now.f);//到达v点的水量取决于边剩余的容量和u点的水量
if (!inq[v]) { q.push(v); inq[v] = ; }//Bellman 算法入队
}
}
}
if (d[t] == INF)return false;//找不到增广路
flow += a[t];//最大流的值,此函数引用flow这个值,最后可以直接求出flow
cost += (long long)d[t] * (long long)a[t];//距离乘上到达汇点的流量就是费用
for (int u = t; u != s; u = e[p[u]].u)//逆向存边
{
e[p[u]].f += a[t];//正向边加上流量
e[p[u] ^ ].f -= a[t];//反向边减去流量 (和增广路算法一样)
}
return true;
}
int MincostMaxflow(int s, int t, long long & cost)
{
cost = ;
int flow = ;
while (bellman(s, t, flow, cost));//由于Bellman函数用的是引用,所以只要一直调用就可以求出flow和cost
return flow;//返回最大流,cost引用可以直接返回最小费用
}
struct node
{
int x, y;
node(int x=,int y=):x(x),y(y){}
};
node peo[], house[];
char mp[][];
int main()
{
int n, m;
while(cin>>n>>m)
{
init();
int cas = , tot = ;
if (n == && m == ) break;
for (int i = ; i <= n; i++)
{
cin >> mp[i] + ;
for(int j=;j<=m;j++)
{
if (mp[i][j] == 'm') peo[++cas] = node(i, j);
if (mp[i][j] == 'H') house[++tot] = node(i, j);
}
}
s = , t = cas + tot + ;
for (int i = ; i <= cas; i++) add(s, i, , );
for (int i = ; i <= tot; i++) add(cas + i, t, , );
for(int i=;i<=cas;i++)
{
for(int j=;j<=tot;j++)
{
int cost = abs(peo[i].x - house[j].x) + abs(peo[i].y - house[j].y);
add(i, j + cas, , cost);
}
}
ll cost = ;
int ans = MincostMaxflow(s, t, cost);
printf("%lld\n", cost);
}
return ;
}

D - Going Home POJ - 2195 网络流的更多相关文章

  1. POJ 2195 Going Home 最小费用最大流 尼玛,心累

    D - Going Home Time Limit:1000MS     Memory Limit:65536KB     64bit IO Format:%I64d & %I64u Subm ...

  2. poj 2195 二分图带权匹配+最小费用最大流

    题意:有一个矩阵,某些格有人,某些格有房子,每个人可以上下左右移动,问给每个人进一个房子,所有人需要走的距离之和最小是多少. 貌似以前见过很多这样类似的题,都不会,现在知道是用KM算法做了 KM算法目 ...

  3. POJ 2195 Going Home / HDU 1533(最小费用最大流模板)

    题目大意: 有一个最大是100 * 100 的网格图,上面有 s 个 房子和人,人每移动一个格子花费1的代价,求最小代价让所有的人都进入一个房子.每个房子只能进入一个人. 算法讨论: 注意是KM 和 ...

  4. POJ 2195 Going Home (带权二分图匹配)

    POJ 2195 Going Home (带权二分图匹配) Description On a grid map there are n little men and n houses. In each ...

  5. poj 2195 Going Home(最小费最大流)

    poj 2195 Going Home Description On a grid map there are n little men and n houses. In each unit time ...

  6. 【POJ 2195】 Going Home(KM算法求最小权匹配)

    [POJ 2195] Going Home(KM算法求最小权匹配) Going Home Time Limit: 1000MS   Memory Limit: 65536K Total Submiss ...

  7. (网络流 匹配 KM) Going Home --poj -- 2195

    链接: http://acm.hust.edu.cn/vjudge/contest/view.action?cid=82835#problem/D 有n个人有n栋房子,每栋房子里能进一个人,但每走一格 ...

  8. kuangbin专题专题十一 网络流 Going Home POJ - 2195

    题目链接:https://vjudge.net/problem/POJ-2195 思路:曼哈顿距离来求每个人到每个房间的距离,把距离当作费用. 就可以用最小费用最大流来解决了,把每个房子拆成两个点,限 ...

  9. 图论--网络流--费用流POJ 2195 Going Home

    Description On a grid map there are n little men and n houses. In each unit time, every little man c ...

随机推荐

  1. mac安装monkey工具

    一.monkey测试简介: monkey工具是Android自动化测试工具的一种,主要对Android,APP可进行压力测试.(总结) Monkey是Android中的一个命令行工具,可以运行在模拟器 ...

  2. 在Spark shell中基于Alluxio进行wordcount交互式分析

    Spark是一个分布式内存计算框架,可部署在YARN或者MESOS管理的分布式系统中(Fully Distributed),也可以以Pseudo Distributed方式部署在单个机器上面,还可以以 ...

  3. 案例44-crm练习新增客户使用struts2

    1 src下配置文件 1 struts.xml <?xml version="1.0" encoding="UTF-8"?> <!DOCTYP ...

  4. lua输入函数名字符串执行函数

    str = "testA()"loadstring(str)() function testA() ------end 使用loadstring即可执行后面在xlua用了下发现不能 ...

  5. MYSQ系列-MYSQL基础增强(Mysql基本语句)

    MYSQL基础增强 库操作 创建一个使用UTF-8字符集的数据库: create database mydb character set UTF8; 创建一个带校对集的数据库 create datab ...

  6. 利用pandas生成csv文件

    # -*- coding:UTF-8 -*- import json from collections import OrderedDict with open('dns_status.json',' ...

  7. MySQL中设置同一张表中一个字段的值等于另一个字段的值

    今天遇到了一个需求,我在一张表中新增了一个字段,因为这张表以前已经有很多数据了,这样对于以前的数据来说,新增的这个字段的值也就是为该字段的默认值,现在需要将新增的这个字段添加上数据,数据来源为同表的另 ...

  8. 跨域策略文件crossdomain.xml文件

    使用crossdomain.xml让Flash可以跨域传输数据 一.crossdomain.xml文件的作用    跨域,顾名思义就是需要的资源不在自己的域服务器上,需要访问其他域服务器.跨域策略文件 ...

  9. vue+axios+easy-mock+element-ui实现表格分页功能

    废话不多,效果如图: LineSource.vue文件内代码如下: <template> <div class="c-main auth userControl" ...

  10. 15_volatile

    [volatile概念] volatile关键字的主要作用是是变量在多个线程间可见. [注意] 在java中,每一个线程都会有一块工作内存区,其中存放着所有线程共享的主内存中的变量的拷贝.当线程执行时 ...