PIGS POJ - 1149

1011 - 网络流 - PIGS(POJ1149) 传送门   分析 好生优秀的一道建模题 一个人打开了某几个猪圈,就相当于在这个时间段把这些猪圈给“合并” 了。 然后后面有人如果要打开其中的某一个,只用找到合并的这个点,然后 连一条边即可,相当于里面的猪都可以被调换过来。 对于每个猪圈维护 lasti,表示最后访问的时间,然后每次连边接到 last, 再把 last 更新即可。 但实际上并不需要每次合并都新建一个点,直接合并到顾客身上就... 阅读详情

Mirko works on a pig farm that consists of M locked pig-houses and Mirko can’t unlock any pighouse because he doesn’t have the keys. Customers come to the farm one after another. Each of them has keys to some pig-houses and wants to buy a certain number of pigs.
All data concerning customers planning to visit the farm on that particular day are available to Mirko early in the morning so that he can make a sales-plan in order to maximize the number of pigs sold.
More precisely, the procedure is as following: the customer arrives, opens all pig-houses to which he has the key, Mirko sells a certain number of pigs from all the unlocked pig-houses to him, and, if Mirko wants, he can redistribute the remaining pigs across the unlocked pig-houses.
An unlimited number of pigs can be placed in every pig-house.
Write a program that will find the maximum number of pigs that he can sell on that day.
Input
The first line of input contains two integers M and N, 1 <= M <= 1000, 1 <= N <= 100, number of pighouses and number of customers. Pig houses are numbered from 1 to M and customers are numbered from 1 to N.
The next line contains M integeres, for each pig-house initial number of pigs. The number of pigs in each pig-house is greater or equal to 0 and less or equal to 1000.
The next N lines contains records about the customers in the following form ( record about the i-th customer is written in the (i+2)-th line):
A K1 K2 … KA B It means that this customer has key to the pig-houses marked with the numbers K1, K2, …, KA (sorted nondecreasingly ) and that he wants to buy B pigs. Numbers A and B can be equal to 0.
Output
The first and only line of the output should contain the number of sold pigs.
Sample Input
3 3
3 1 10
2 1 2 2
2 1 3 3
1 2 6
Sample Output
7
题意:每个人想买猪2333,然后由m个猪圈,一个人会挑固定几个猪圈打开,然后从里面挑猪,被打开的猪圈可以随便改变猪的个数,只要总和不变即可.
建图思路:把每个顾客看成节点,将源点会第一个打开猪圈的顾客连起来,权值是顾客会第一次打开的猪圈中猪的总和,后面打开猪圈的顾客可挑选的猪相当于前一个顾客挑剩的总和.所以把前一个打开猪圈的人和当前打开的人连一条INF的边,最后所有人和汇点连一条边就好了 23333 建图还是巧妙啊QWQ

#include<iostream>
#include<cstdio>
#include<cstring>
#include<cmath>
#include<algorithm>
#include<string>
#include<vector>
#include<set>
#include<queue>
#include<map>
#include<sstream>
#include<stack>
#include<functional>
#include<cctype>
using namespace std;
typedef long long ll;

//thanks to pyf ...
//thanks to lmd ...

#define INF 0x3f3f3f3f
#define CLR(a,b) memset(a,b,sizeof(a))
const int N = 5005;

struct Edge
{
    int from,to,cap,flow;
    Edge(int u,int v,int c,int f):from(u),to(v),cap(c),flow(f){}
};
struct Dinic
{
    int n,m,s,t;
    vector<Edge>edges;
    vector<int>G[N];
    bool vis[N];
    int d[N];
    int cur[N];
    void add_edge(int u,int v,int cap)
    {
        edges.push_back(Edge(u,v,cap,0));
        edges.push_back(Edge(v,u,0,0));
        int m = edges.size();
        G[u].push_back(m-2);
        G[v].push_back(m-1);
    }
    bool bfs()
    {
        memset(vis,0,sizeof(vis));
        queue<int>q;
        q.push(s);
        d[s] = 0;
        vis[s] = 1;
        while(!q.empty())
        {
            int x = q.front();
            q.pop();
            for(int i=0;i<G[x].size();i++)
            {
                Edge &e = edges[G[x][i]];
                if(!vis[e.to]&&e.cap > e.flow)
                {
                    vis[e.to] = 1;
                    d[e.to] = d[x] +1;
                    q.push(e.to);
                }
            }
        }
        return vis[t];
    }
    int dfs(int x,int a)
    {
        if(x==t||a==0)
            return a;
        int flow = 0,f;
        for(int &i = cur[x];i<G[x].size();i++)
        {
            Edge &e = edges[G[x][i]];
            if(d[x]+1==d[e.to]&&(f=dfs(e.to,min(a,e.cap-e.flow)))>0)
            {
                e.flow += f;
                edges[G[x][i]^1].flow -= f;
                flow += f;
                a-=f;
                if(!a)
                    break;
            }
        }
        return flow;
    }
    int Maxflow(int s,int t)
    {
        this -> s = s,this -> t = t;
        int flow = 0;
        while(bfs())
        {
            CLR(cur,0);
            flow+= dfs(s,INF);
        }
        return flow;
    }
};
int pig[N];
int vis[N];
int used[N];
int main()
{
    int n,m;
    while(scanf("%d%d",&n,&m)==2)
    {
        Dinic ans;
        int s = 0;
        int t = m+1;
        CLR(vis,0);
        for(int i=1;i<=n;i++)
        {
            scanf("%d",pig+i);
        }
        for(int i=1;i<=m;i++)
        {
            int cnt;
            int cap = 0;
            CLR(used,0);
            scanf("%d",&cnt);
            for(int j=0;j<cnt;j++)
            {
                int id;
                scanf("%d",&id);
                if(!vis[id])
                {
                    vis[id] = i;
                    cap+=pig[id];
                }
                else
                {
                    if(!used[vis[id]])
                        ans.add_edge(vis[id],i,INF);
                    vis[id] = i;
                }
            }
            if(cap)
                ans.add_edge(s,i,cap);
            int need;
            scanf("%d",&need);
            ans.add_edge(i,t,need);
        }
        printf("%d\n",ans.Maxflow(s,t));
    }
}
R语言clusterProfiler实战:GO与KEGG富集分析从入门到精通 本文提供了一份详尽的R语言clusterProfiler实战指南,从环境配置、数据导入、基因ID转换到GO与KEGG富集分析及可视化,手把手教你解读生物学意义。文章重点介绍了如何利用clusterProfiler这一强大工具,将差异基因列表转化为清晰的生物学通路与功能故事,并分享了结果解读、可视化以及处理非模式生物等进阶技巧与避坑指南。 阅读详情

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% Dropout fraction opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex4 neural net with sigmoid activation functionrand('state',0)nn = nnsetup([784 100 10]);nn.activation_function = 'sigm'; % Sigmoid activation functionnn.learningRate = 1; % Sigm require a lower learning rateopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex5 plotting functionalityrand('state',0)nn = nnsetup([784 20 10]);opts.numepochs = 5; % Number of full sweeps through datann.output = 'softmax'; % use softmax outputopts.batchsize = 1000; % Take a mean gradient step over this many samplesopts.plot = 1; % enable plottingnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex6 neural net with sigmoid activation and plotting of validation and training error% split training data into training and validation datavx = train_x(1:10000,:);tx = train_x(10001:end,:);vy = train_y(1:10000,:);ty = train_y(10001:end,:);rand('state',0)nn = nnsetup([784 20 10]); 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【POJ 1149 PIGS】网络流 & 合并节点简化构图 & Dinic算法

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POJ 1149 PIGS

题目传送门:POJ 1149 PIGS         题目大意是说有 m 个猪圈,每个猪圈中有一定数量的猪。有 n 个人,分别在不同的日子里来买猪,每个人买猪的时候指定买哪些猪圈中的猪,在卖猪这天,主人可以随意的调整猪圈中的猪的数量,然后关上猪圈,等待下一个买猪的人到来,每个顾客分别有个买猪数量的上限。问主人通过合理的安排之后,最多能卖多少猪?         网络流,建图方法:

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poj 1149 PIGS 题解(网络流,建图)

原题链接: poj 题意简述 有m(&lt;=1000)m(&lt;=1000)m(<=1000)头猪,和n(&lt;=100)n(&lt;=100)n(<=100)个顾客。第iii个顾客有ai(&lt;=m)a_i(&lt;=m)ai​(<=m)个喜欢的猪(给定这些猪的编号),但是最多只会买bi(&lt;=m)b_i(&a...

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POJ - 1149 PIGS (最大流 Dinic)

PIGS 题目链接:http://poj.org/problem?id=1149 Mirko works on a pig farm that consists of M locked pig-houses and Mirko can't unlock any pighouse because he doesn't have the keys. Customers come to the fa...

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Poj 1149 Pigs Mirko works on a pig farm that consists of M locked pig-houses and Mirko can't unlock any pighouse because he doesn't have the keys. Customers come to the farm one after another. Each of...

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poj1149 PIGS

最大流,思路很好

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