zoukankan      html  css  js  c++  java
  • 2019HDU多校第三场 K subsequence——最小费用最大流

    题意

    给定一个 $n$ 个整数的数列,从中至多选取 $k$ 个上升子序列(一个元素最多被选一次),使得选取的元素和最大。

    分析

    考虑这个问题和经典网络流问题“最长不下降子序列”相似,我们考虑对这个建图并用网络流解决。因为求得费用和,则使用费用流做法。

    具体建图见代码,主要考虑拆点和建立超级源点和超级汇点。

    (然后SPFA版的会超时,换成Dijkstra版的

    #include<bits/stdc++.h>
    using namespace std;
    #define il inline
    
    typedef long long ll;
    const int INF = 0x3f3f3f3f;
    const int maxn = 4000 + 10;
    int n, k, a[maxn];
    
    struct edge {
        int to, capacity, cost, rev;
        edge() {}
        edge(int to, int _capacity, int _cost, int _rev) :to(to), capacity(_capacity), cost(_cost), rev(_rev) {}
    };
    struct Min_Cost_Max_Flow {
        int V, H[maxn + 5], dis[maxn + 5], PreV[maxn + 5], PreE[maxn + 5];
        vector<edge> G[maxn + 5];
        //调用前初始化
        void Init(int n) {
            V = n;
            for (int i = 0; i <= V; ++i)G[i].clear();
        }
        //加边
        void Add_Edge(int from, int to, int cap, int cost) {
            G[from].push_back(edge(to, cap, cost, G[to].size()));
            G[to].push_back(edge(from, 0, -cost, G[from].size() - 1));
        }
        //flow是自己传进去的变量,就是最后的最大流,返回的是最小费用
        int Min_cost_max_flow(int s, int t, int f, int& flow) {
            int res = 0; fill(H, H + 1 + V, 0);
            while (f) {
                priority_queue <pair<int, int>, vector<pair<int, int>>, greater<pair<int, int>> > q;
                fill(dis, dis + 1 + V, INF);
                dis[s] = 0; q.push(pair<int, int>(0, s));
                while (!q.empty()) {
                    pair<int, int> now = q.top(); q.pop();
                    int v = now.second;
                    if (dis[v] < now.first)continue;
                    for (int i = 0; i < G[v].size(); ++i) {
                        edge& e = G[v][i];
                        if (e.capacity > 0 && dis[e.to] > dis[v] + e.cost + H[v] - H[e.to]) {
                            dis[e.to] = dis[v] + e.cost + H[v] - H[e.to];
                            PreV[e.to] = v;
                            PreE[e.to] = i;
                            q.push(pair<int, int>(dis[e.to], e.to));
                        }
                    }
                }
                if (dis[t] == INF)break;
                for (int i = 0; i <= V; ++i)H[i] += dis[i];
                int d = f;
                for (int v = t; v != s; v = PreV[v])d = min(d, G[PreV[v]][PreE[v]].capacity);
                f -= d; flow += d; res += d*H[t];
                for (int v = t; v != s; v = PreV[v]) {
                    edge& e = G[PreV[v]][PreE[v]];
                    e.capacity -= d;
                    G[v][e.rev].capacity += d;
                }
            }
            return res;
        }
        int Max_cost_max_flow(int s, int t, int f, int& flow) {
            int res = 0;
            fill(H, H + 1 + V, 0);
            while (f) {
                priority_queue <pair<int, int>> q;
                fill(dis, dis + 1 + V, -INF);
                dis[s] = 0;
                q.push(pair<int, int>(0, s));
                while (!q.empty()) {
                    pair<int, int> now = q.top(); q.pop();
                    int v = now.second;
                    if (dis[v] > now.first)continue;
                    for (int i = 0; i < G[v].size(); ++i) {
                        edge& e = G[v][i];
                        if (e.capacity > 0 && dis[e.to] < dis[v] + e.cost + H[v] - H[e.to]) {
                            dis[e.to] = dis[v] + e.cost + H[v] - H[e.to];
                            PreV[e.to] = v;
                            PreE[e.to] = i;
                            q.push(pair<int, int>(dis[e.to], e.to));
                        }
                    }
                }
                if (dis[t] == -INF)break;
                for (int i = 0; i <= V; ++i)H[i] += dis[i];
                int d = f;
                for (int v = t; v != s; v = PreV[v])d = min(d, G[PreV[v]][PreE[v]].capacity);
                f -= d; flow += d;
                res += d*H[t];
                for (int v = t; v != s; v = PreV[v]) {
                    edge& e = G[PreV[v]][PreE[v]];
                    e.capacity -= d;
                    G[v][e.rev].capacity += d;
                }
            }
            return res;
        }
    }mcmf;
    
    void solve()
    {
        mcmf.Init(2*n+3);
        for(int i = 1;i <= n;i++)
        {
            mcmf.Add_Edge(i, i+n, 1, -a[i]);
            for(int j = i+1;j <= n;j++)
            {
                if(a[j] >= a[i])
                {
                    mcmf.Add_Edge(i+n, j, 1, 0);  //右边每一个大于的都要连边
                    //break;
                }
            }
        }
        mcmf.Add_Edge(2*n+1, 2*n+2, k, 0);
        for(int i = 1;i <= n;i++)  mcmf.Add_Edge(2*n+2, i, 1, 0);  //建立超级源点2n+1
        for(int i = 1;i <= n;i++)  mcmf.Add_Edge(i+n, 2*n+3, 1, 0);     //建立超级汇点2n+2
        int flow = 0;
        int ans = mcmf.Min_cost_max_flow(2*n+1, 2*n+3, INF, flow);
        printf("%d
    ", -ans);
    }
    
    int main()
    {
    //    freopen("multi.in", "r", stdin);
    //    freopen("out.txt", "w", stdout);
        int T;
        scanf("%d", &T);
        while(T--)
        {
            scanf("%d%d", &n, &k);
            for(int i = 1;i <= n;i++)  scanf("%d", &a[i]);
            solve();
        }
    }
  • 相关阅读:
    创建 SSH Keys
    idea创建管理项目
    springboot拦截器之验证登录
    SpringBoot防XSS攻击
    String,StringBuffer与StringBuilder的区别|线程安全与线程不安全
    算法的时间复杂度和空间复杂度详解
    switch语句以及三种循环语句的总结
    kafka原理简介并且与RabbitMQ的选择
    Kafka、RabbitMQ、RocketMQ等消息中间件的对比 —— 消息发送性能和区别
    RabbitMQ和kafka从几个角度简单的对比
  • 原文地址:https://www.cnblogs.com/lfri/p/11267070.html
Copyright © 2011-2022 走看看