Power Network
Time Limit: 2000MS   Memory Limit: 32768K
Total Submissions: 25832   Accepted: 13481

Description

A power network consists of nodes (power stations, consumers and dispatchers) connected by power transport lines. A node u may be supplied with an amount s(u) >= 0 of power, may produce an amount 0 <= p(u) <= pmax(u) of power, may consume an amount 0 <= c(u) <= min(s(u),cmax(u)) of power, and may deliver an amount d(u)=s(u)+p(u)-c(u) of power. The following restrictions apply: c(u)=0 for any power station, p(u)=0 for any consumer, and p(u)=c(u)=0 for any dispatcher. There is at most one power transport line (u,v) from a node u to a node v in the net; it transports an amount 0 <= l(u,v) <= lmax(u,v) of power delivered by u to v. Let Con=Σuc(u) be the power consumed in the net. The problem is to compute the maximum value of Con. 

An example is in figure 1. The label x/y of power station u shows that p(u)=x and pmax(u)=y. The label x/y of consumer u shows that c(u)=x and cmax(u)=y. The label x/y of power transport line (u,v) shows that l(u,v)=x and lmax(u,v)=y. The power consumed is Con=6. Notice that there are other possible states of the network but the value of Con cannot exceed 6. 

Input

There are several data sets in the input. Each data set encodes a power network. It starts with four integers: 0 <= n <= 100 (nodes), 0 <= np <= n (power stations), 0 <= nc <= n (consumers), and 0 <= m <= n^2 (power transport lines). Follow m data triplets (u,v)z, where u and v are node identifiers (starting from 0) and 0 <= z <= 1000 is the value of lmax(u,v). Follow np doublets (u)z, where u is the identifier of a power station and 0 <= z <= 10000 is the value of pmax(u). The data set ends with nc doublets (u)z, where u is the identifier of a consumer and 0 <= z <= 10000 is the value of cmax(u). All input numbers are integers. Except the (u,v)z triplets and the (u)z doublets, which do not contain white spaces, white spaces can occur freely in input. Input data terminate with an end of file and are correct.

Output

For each data set from the input, the program prints on the standard output the maximum amount of power that can be consumed in the corresponding network. Each result has an integral value and is printed from the beginning of a separate line.

Sample Input

2 1 1 2 (0,1)20 (1,0)10 (0)15 (1)20
7 2 3 13 (0,0)1 (0,1)2 (0,2)5 (1,0)1 (1,2)8 (2,3)1 (2,4)7
(3,5)2 (3,6)5 (4,2)7 (4,3)5 (4,5)1 (6,0)5
(0)5 (1)2 (3)2 (4)1 (5)4

Sample Output

15
6

Hint

The sample input contains two data sets. The first data set encodes a network with 2 nodes, power station 0 with pmax(0)=15 and consumer 1 with cmax(1)=20, and 2 power transport lines with lmax(0,1)=20 and lmax(1,0)=10. The maximum value of Con is 15. The second data set encodes the network from figure 1.
 
主要是学习dinic算法
 #include <iostream>
#include <cstring>
#include <algorithm>
#include <cstdio>
#include <stdio.h>
#include <queue>
#include <vector>
using namespace std;
const int MAX = ;
const int INF = 0x3f3f3f3f;
struct Edge
{
int to,cap;
Edge(int v,int w):to(v),cap(w) {}
};
int n,m,np,nc,s,t;
vector<int> g[MAX];
vector<Edge> edge;
int d[MAX],cur[MAX];
void AddEdge(int from,int to,int cap)
{
edge.push_back(Edge(to,cap));
edge.push_back(Edge(from,));
int id = edge.size();
g[from].push_back(id - );
g[to].push_back(id - ); }
bool bfs()
{
memset(d,,sizeof(d));
queue<int> q;
q.push(s);
d[s] = ;
while(!q.empty())
{
int x = q.front();
q.pop();
if(x == t)
return true;
int len = g[x].size();
for(int i = ; i < len; i++)
{
Edge e = edge[ g[x][i] ];
if(d[e.to] == && e.cap > )
{
d[e.to] = d[x] + ;
q.push(e.to);
}
}
}
return false;
}
int dfs(int x, int a)
{
if(x == t || a == )
return a;
int flow = ,f;
for(int& i = cur[x]; i < (int) g[x].size(); i++)
{
Edge& e = edge[ g[x][i] ]; //这里要是引用
if(d[x] + == d[e.to] && (f = dfs(e.to,min(a,e.cap))) > )
{
e.cap -= f;
edge[ g[x][i] ^ ].cap += f;
flow += f;
a -= f;
if(a == )
{
break;
}
}
}
return flow;
}
int MaxFlow()
{
int flow = ;
while(bfs())
{
memset(cur,,sizeof(cur));
flow += dfs(s,INF);
}
return flow;
}
int main()
{
char str[];
int u,v,w;
while(scanf("%d%d%d%d",&n,&np,&nc,&m) != EOF)
{
s = n + ;
t = n + ;
for(int i = ; i < n + ; i++)
g[i].clear();
edge.clear();
for(int i = ; i <= m; i++)
{
scanf("%s",str);
sscanf(str,"%*c%d%*c%d%*c%d",&u,&v,&w);
AddEdge(u,v,w);
}
for(int i = ; i < np; i++)
{
scanf("%s",str);
sscanf(str,"%*c%d%*c%d",&u,&w);
AddEdge(s,u,w);
}
for(int i = ; i < nc; i++)
{
scanf("%s",str);
sscanf(str,"%*c%d%*c%d",&u,&w);
AddEdge(u,t,w);
}
printf("%d\n",MaxFlow());
} return ;
}

POJ1459Power Network(dinic模板)的更多相关文章

  1. POJ 1273 Drainage Ditches (网络流Dinic模板)

    Description Every time it rains on Farmer John's fields, a pond forms over Bessie's favorite clover ...

  2. hdu 1532 Dinic模板(小白书)

    hdu1532 输入n,m. n条边,m个点,之后给出a到b的容量,求1到m的最大流. 注意:Dinic只能调用一次,因为原理是改变cap的值,如果调用多次一样的,那么第一次会对,其余的都会是0,因为 ...

  3. 最大流算法 ISAP 模板 和 Dinic模板

    ISAP // UVa11248 Frequency Hopping:使用ISAP算法,加优化 // Rujia Liu struct Edge { int from, to, cap, flow; ...

  4. 洛谷P3376【模板】网络最大流  Dinic模板

    之前的Dinic模板照着刘汝佳写的vector然后十分鬼畜跑得奇慢无比,虽然别人这样写也没慢多少但是自己的就是令人捉急. 改成邻接表之后快了三倍,虽然还是比较慢但是自己比较满意了.虽然一开始ecnt从 ...

  5. Power Network POJ - 1459 网络流 DInic 模板

    #include<cstring> #include<cstdio> #define FOR(i,f_start,f_end) for(int i=f_startl;i< ...

  6. HDU1532_Drainage Ditches(网络流/EK模板/Dinic模板(邻接矩阵/前向星))

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

  7. 【网络流#3】hdu 1532 - Dinic模板题

    输入为m,n表示m条边,n个结点 记下来m行,每行三个数,x,y,c表示x到y的边流量最大为c 这道题的模板来自于网络 http://blog.csdn.net/sprintfwater/articl ...

  8. 最大流当前弧优化Dinic模板

    最大流模板: 普通最大流 无向图限制:将无向图的边拆成2条方向相反的边 无源汇点有最小流限制的最大流:理解为水管流量形成循环,每根水管有流量限制,并且流入量等于流出量 有源汇点的最小流限制的最大流 顶 ...

  9. 网络流--最大流dinic模板

    标准的大白书式模板,除了变量名并不一样……在主函数中只需要用到 init 函数.add 函数以及 mf 函数 #include<stdio.h> //差不多要加这么些头文件 #includ ...

随机推荐

  1. [原创]CI持续集成系统环境---部署Gitlab环境完整记录

    Gitlab是一个代码托管平台,在实际工作中,对代码管理十分有用. 废话不多说,下面是对我自己搭建的Gitlab环境做一记录: (1)安装 ------------------------------ ...

  2. 如何在Web服务器80端口上开启SSH服务

    本文所讨论的网络端口复用并非指网络编程中采用SO_REUSEADDR选项的 Socket Bind 复用.它更像是一个带特定路由功能的端口转发工具,在应用层实现. 背景 笔者所处网络中防火墙只开放了一 ...

  3. Linux Linux程序练习十二(select实现QQ群聊)

    //头文件--helper.h #ifndef _vzhang #define _vzhang #ifdef __cplusplus extern "C" { #endif #de ...

  4. [转]基于四叉树(QuadTree)的LOD地形实现

    实现基于四叉树的LOD地形时,我遇到的主要问题是如何修补地形裂缝. 本段我将描述使用LOD地形的优势,我实现LOD地形的思路,实现LOD地形核心模块的详细过程,以及修补地形裂缝的思路. 首先,LOD地 ...

  5. WCF与ASMX Web服务差异比较[译]

    First of all, it needs to understand that WCF Service provides all the capabilities of .NET web serv ...

  6. UltraEdit编辑器使用心得之正则表达式篇

    ultraEdit 中通过Ctrl+R 可以快速进行文本替换等处理操作,如果在这中间用一些正则表达式那将帮助NI更高效的进行文字处理操作,相关正则表达式列述如下: % 匹配行首 - 表示搜索字符串必须 ...

  7. 小甲鱼第51讲:《__name__="__main__"、搜索路径和包》课后练习题

    测试题: 0. __name__属性指的是在调用该模块的时候调用的函数名称,方便在模块的被调用的时候,模块内部被调用的函数不会被运行. 1. 当模块作为主程序运行的时候,__name__属性的值是“_ ...

  8. 用 CNTK 搞深度学习 (一) 入门

    Computational Network Toolkit (CNTK) 是微软出品的开源深度学习工具包.本文介绍CNTK的基本内容,如何写CNTK的网络定义语言,以及跑通一个简单的例子. 根据微软开 ...

  9. 第十章 使用MapKit

    本项目是<beginning iOS8 programming with swift>中的项目学习笔记==>全部笔记目录 ------------------------------ ...

  10. 【WEB前端经验之谈】没有速成,只有不断积累。

    2013年8月25日,我人生中的第一份正式工作开始了,第一份工作做的是当时学习的asp.net,用的是C#语言. 到第一家公司上班是公司是做一个OA系统,不过我去的时候大部分都已经完成了,剩下的都是细 ...