Description

Open-pit mining is a surface mining technique of extracting rock or minerals from the earth by their removal from an open pit or borrow. Open-pit mines are used when deposits of commercially useful minerals or rocks are found near the surface. Automatic Computer Mining (ACM) is a company that would like to maximize its profits by open-pit mining. ACM has hired you to write a program that will determine the maximum profit it can achieve given the description of a piece of land.

Each piece of land is modelled as a set of blocks of material. Block i has an associated value (vi), as well as a cost (ci), to dig that block from the land. Some blocks obstruct or bury other blocks. So for example if block i is obstructed by blocks j and k, then one must first dig up blocks j and k before block i can be dug up. A block can be dug up when it has no other blocks obstructing it.

Input

The first line of input is an integer N(1≤N≤200)N(1≤N≤200) which is the number of blocks. These blocks are numbered 1 through N. Then follow N lines describing these blocks. The ith such line describes block i and starts with two integers vi, ci denoting the value and cost of the ith block (0≤vi,ci≤200)(0≤vi,ci≤200) . Then a third integer 0≤mi≤N−10≤mi≤N−1 on this line describes the number of blocks that block i obstructs. Following that are mi distinct space separated integers between 1 and N (but excluding i) denoting the label(s) of the blocks that block i obstructs. You may assume that it is possible to dig up every block for some digging order. The sum of values mi over all blocks i will be at most 500.

Output

Output a single integer giving the maximum profit that ACM can achieve from the given piece of land.

Sample Input

5
0 3 2 2 3
1 3 2 4 5
4 8 1 4
5 3 0
9 2 0

Sample Output

2

Hint

数论:网络流:最大权闭合子图,模板题

#include<iostream>
#include<cstdio>
#include<cstring>
#include<queue>
#include<cmath>
#include<algorithm>  
using namespace std;  
typedef long long ll;  
const int N=1e6+5;  
const int INF=0x3f3f3f3f;  
  
struct node{  
    ll t,cap,flow,next;    
}e[N];  
int head[N],cur[N],cnt; 
void init(){  
    memset(head,-1,sizeof(head));  
    cnt=0;  
}  
void add(int u,int v,ll cap)  
{  
    e[cnt]=node{v,cap,0,head[u]};  
    head[u]=cnt++;  
    e[cnt]=node{u,0,0,head[v]};    
    head[v]=cnt++;  
}  
int d[N];   
bool bfs(int s,int t)   //O(n+m)  
{  
    memset(d,0,sizeof(d));  
    queue<int>q;  
    q.push(s);  
    d[s]=1;  
    while(!q.empty())  
    {  
        int u=q.front();q.pop();  
        for(int i=head[u];~i;i=e[i].next)  
        {  
            int v=e[i].t;  
            if(d[v]==0&&e[i].cap-e[i].flow>0)  
            {  
                d[v]=d[u]+1;  
                q.push(v);  
            }  
        }  
    }  
    return d[t]>0;   
}  
ll dfs(int s,int t,ll minedge)  
{  
    if(s==t)return minedge;  
    ll flow=0;    
    for(int &i=cur[s];~i;i=e[i].next)  
    {  
        int v=e[i].t;  
        if(d[v]==d[s]+1&&e[i].cap-e[i].flow>0)  
        {  
            ll temp=dfs(v,t,min(minedge-flow,e[i].cap-e[i].flow));  
            e[i].flow+=temp;    
            e[i^1].flow-=temp;  
            flow+=temp;  
            if(flow==minedge)return flow;  
        }  
    }  
    if(flow==0)d[s]=0;    
    return flow;  
}  
ll dinic(int s,int t) 
{  
    ll maxflow=0;  
    while(bfs(s,t))     
    {  
        memcpy(cur,head,sizeof(head));   
        maxflow+=dfs(s,t,INF);  
    }  
    return maxflow;  
}  
int pro[220];  
int main()  
{  
    int n,u,v,x,k;  
    init();  
    scanf("%d",&n);  
    for(int i=1;i<=n;i++)  
    {  
        scanf("%d%d%d",&u,&v,&k);  
        pro[i]=u-v;  
        while(k--){  
            scanf("%d",&x);  
            add(x,i,INF);  
        }  
    }  
    ll sum=0;  
    for(int i=1;i<=n;i++)  
    {  
        if(pro[i]>0){  
            add(0,i,pro[i]);  
            sum+=pro[i];  
        }  
        else if(pro[i]<0)add(i,n+1,-pro[i]);  
    }  
    int ans=dinic(0,n+1);  
    cout<<sum-ans<<endl;  
    return 0;  
}

Open-Pit Mining的更多相关文章

  1. 正则表达式和文本挖掘(Text Mining)

    在进行文本挖掘时,TSQL中的通配符(Wildchar)显得功能不足,这时,使用“CLR+正则表达式”是非常不错的选择,正则表达式看似非常复杂,但,万变不离其宗,熟练掌握正则表达式的元数据,就能熟练和 ...

  2. Call for Papers IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM)

    IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2014 In ...

  3. Distributed Databases and Data Mining: Class timetable

    Course textbooks Text 1: M. T. Oszu and P. Valduriez, Principles of Distributed Database Systems, 2n ...

  4. coursera 公开课 文本挖掘和分析(text mining and analytics) week 1 笔记

    一.课程简介: text mining and analytics 是一门在coursera上的公开课,由美国伊利诺伊大学香槟分校(UIUC)计算机系教授 chengxiang zhai 讲授,公开课 ...

  5. What is the most common software of data mining? (整理中)

    What is the most common software of data mining? 1 Orange? 2 Weka? 3 Apache mahout? 4 Rapidminer? 5 ...

  6. POJ 2948 Martian Mining

    Martian Mining Time Limit: 5000MS Memory Limit: 65536K Total Submissions: 2251 Accepted: 1367 Descri ...

  7. What’s the difference between data mining and data warehousing?

    Data mining is the process of finding patterns in a given data set. These patterns can often provide ...

  8. A web crawler design for data mining

    Abstract The content of the web has increasingly become a focus for academic research. Computer prog ...

  9. Datasets for Data Mining and Data Science

    https://github.com/mattbane/RecommenderSystem http://grouplens.org/datasets/movielens/ KDDCUP-2012官网 ...

随机推荐

  1. IO类

    Java的IO体系分为Input/Output和Reader/Writer两类,区别在于Reader/Writer在读写文本时能自动转换内码.基本上,所有的IO类多是配对的,即有XXXInput,就有 ...

  2. 了解Spring的基本概念

    参考资料:https://www.jianshu.com/p/1c483bd8fd6d 在正式学习Spring框架之前,肯定有很多疑问,比如说: 1.Spring中经常出现的IOC.AOP.DI是什么 ...

  3. 如何解决UNMOUNTABLE BOOT VALUME

    Windows error:UNMOUNTABLE BOOT VALUME 解决方法:Windows 修复工具 chkdsk命令 chkdsk D:/f ps:chkdsk 磁盘名 /f

  4. startup启动不起来关于监听的问题

    问题描述:要在sqlplus中启动到startup状态,但是提示我没有监听,本来以为启动一下就可以,但是connecting to一直卡半天,stop都停止不了 1.发现监听有问题,前去更改 SQL& ...

  5. 生成Alpine LXC容器的根文件系统

    一个Alpine LXC容器的文件系统内容包括以下内容 根文件系统 应用程序,库文件以及配置文件 根文件系统主要包含alpine linux最小系统所需要的组件.下面主要讲一下制作根文件系统的方法. ...

  6. Rust更换Crates源

    Rust编译时遇到如下问题: Downloading futures v0.1.19 warning: spurious network error (2 tries remaining): [28] ...

  7. 人生若只如初见---Spring概述以及环境的搭建

    Spring 是什么 Spring是由Apache开发的一种轻量型Java框架,能够更加便捷使用JavaBean(之前只有EJB才能实现) Spring的主要优势:分层架构: DAO层:(Data A ...

  8. 2019牛客暑期多校训练营(第九场)Quadratic equation——二次剩余(模奇素数)

    题意:给定p=1e9+7,构造x,y使其满足(x+y) mod p = b,(x*y) mod p = c . 思路:不考虑取模的情况下, .在取模的意义下,,因为a是模p的二次剩余的充分必要条件为  ...

  9. 为宇宙第一强的IDE干一票

    背景 在博客园看到很多人说.net在国内已死,很多人在为.net前途担忧,包括一些创业大佬也提及到这些问题,提及到客户指定了说使用php或者java. 那么基本可以确认了,.net 处于风雨漂泊的地位 ...

  10. Java核心技术第八章-泛型

    摘要 本文根据<Java核心技术 卷一>一书的第八章总结而成,部分文章摘抄书内,作为个人笔记. 文章不会过于深入,望读者参考便好. 为什么要使用泛型程序设计 泛型程序设计(Generic ...