最小费用流: uva 1658
来源:互联网 发布:windows server版本 编辑:程序博客网 时间:2024/04/25 15:42
最小费用流可以求
某个流量的最小费用流,
也可以直接求最大流量的最小费用流
某个流量的最小费用流:
int MincostFlow(int s, int t, int flow_limit, int& cost) { int flow = 0; cost = 0; while(flow < flow_limit && BellmanFord(s, t, flow_limit, flow, cost)); return flow; }
MCMF
int minflow(int s,int t,long long &cost){ int flow=0;cost=0; while(BellmanFord(s,t,flow,cost)); return flow}
套上模板。。
#include<iostream>#include<string>#include<cstring>#include<algorithm>#include<cstdio>#include<vector>#include<queue>#include<bits/stdc++.h>using namespace std;#define mem(a,b) memset(a,b,sizeof(a));#define sf scanf#define pf printf#define LL long longconst int maxn = 2000 + 10;const int INF = 1000000000;struct Edge { int from, to, cap, flow, cost; Edge(int u, int v, int c, int f, int w):from(u),to(v),cap(c),flow(f),cost(w) {}};struct MCMF { int n, m; vector<Edge> edges; vector<int> G[maxn]; int inq[maxn]; // 是否在队列中 int d[maxn]; // Bellman-Ford int p[maxn]; // 上一条弧 int a[maxn]; // 可改进量 void init(int n) { this->n = n; for(int i = 0; i < n; i++) G[i].clear(); edges.clear(); } void addedge(int from, int to, int cap, int cost) { edges.push_back(Edge(from, to, cap, 0, cost)); edges.push_back(Edge(to, from, 0, 0, -cost)); m = edges.size(); G[from].push_back(m-2); G[to].push_back(m-1); } bool BellmanFord(int s, int t, int flow_limit, int& flow, int& cost) { for(int i = 0; i < n; i++) d[i] = INF; memset(inq, 0, sizeof(inq)); d[s] = 0; inq[s] = 1; p[s] = 0; a[s] = INF; queue<int> Q; Q.push(s); while(!Q.empty()) { int u = Q.front(); Q.pop(); inq[u] = 0; for(int i = 0; i < G[u].size(); i++) { Edge& e = edges[G[u][i]]; if(e.cap > e.flow && d[e.to] > d[u] + e.cost) { d[e.to] = d[u] + e.cost; p[e.to] = G[u][i]; a[e.to] = min(a[u], e.cap - e.flow); if(!inq[e.to]) { Q.push(e.to); inq[e.to] = 1; } } } } if(d[t] == INF) return false; if(flow + a[t] > flow_limit) a[t] = flow_limit - flow; flow += a[t]; cost += d[t] * a[t]; for(int u = t; u != s; u = edges[p[u]].from) { edges[p[u]].flow += a[t]; edges[p[u]^1].flow -= a[t]; } return true; } // 需要保证初始网络中没有负权圈 int MincostFlow(int s, int t, int flow_limit, int& cost) { int flow = 0; cost = 0; while(flow < flow_limit && BellmanFord(s, t, flow_limit, flow, cost)); return flow;//返回的流量,但其实是没有用的,求的最小费用在&cost中求了 }};MCMF g;int main(){ int n,m; while(~sf("%d%d",&n,&m)){ g.init(n*2-2); for(int i=2;i<=n-1;++i){ g.addedge(i-1,i+n-2,1,0); } // 点2~n-1拆成弧i->i',前者编号为1~n-2,后者编号为n~2n-2 for(int i=1;i<=m;++i){ int u,v,c; sf("%d%d%d",&u,&v,&c); if(u!=1&&u!=n)u+=n-2; else u--; v--; g.addedge(u,v,1,c); } int cost; g.MincostFlow(0,n-1,2,cost);//s为0, t为n-1 pf("%d\n",cost); }}
0 0
- 最小费用流: uva 1658
- UVA 1658 Admiral (最小费用流)
- UVA 1658 - Admiral (拆点+最小费用流)
- UVa 1658 Admiral (最小费用最大流、拆点法)
- UVA 1658 Admiral(拆点+最小费用流)
- uva 1486 - Transportation(最小费用流)
- UVA 10594 Data Flow (最小费用流)
- UVA - 11613 Acme Corporation(最小费用流)
- UVA 10888 - Warehouse(最小费用流)
- UVA 1658 (费用流)
- uva 10806 uva 10746 最小费用最大流
- uva 11613 - Acme Corporation(最小费用流)
- uva 10806 - Dijkstra, Dijkstra.(最小费用流)
- uva 1317 - Concert Hall Scheduling(最小费用最大流)
- uva 12092 - Paint the Roads(最小费用最大流)
- UVa 10806 Dijkstra, Dijkstra. / 最小费用最大流
- UVa 10594 Data Flow / 最小费用最大流
- (beginer) 最小费用最大流 UVA 10806 - Dijkstra, Dijkstra.
- 删除系统服务:出现“[SC] OpenService 失败 5:拒绝访问”的问题
- 随笔分类
- mysql乐观锁总结和实践
- 十分钟搞定pandas!
- which Toolkits should i used for Cross-Platform Android Development
- 最小费用流: uva 1658
- scala、spark资料收集(入门及调优)
- [Android]RxJava的简单介绍和基本使用(二):retrofit2的简单介绍
- Http协议解析
- 计算机视觉库整理2017
- JSTL标签库数字,日期格式化[转发]
- 一个特殊静态页面的处理---静态页面实现流程图
- Git学习(四)——分支的创建与合并
- js中 == 和 ===的区别