Drainage DitchesHal Burch |
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description |
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Every time it rains on Farmer John's fields, a pond forms over Bessie's favorite clover patch. This means that the clover is covered by water for awhile and takes quite a long time to regrow. Thus, Farmer John has built a set of drainage ditches so that Bessie's clover patch is never covered in water. Instead, the water is drained to a nearby stream. Being an ace engineer, Farmer John has also installed regulators at the beginning of each ditch, so he can control at what rate water flows into that ditch.
Farmer John knows not only how many gallons of water each ditch can transport per minute but also the exact layout of the ditches, which feed out of the pond and into each other and stream in a potentially complex network. Note however, that there can be more than one ditch between two intersections.
Given all this information, determine the maximum rate at which water can be transported out of the pond and into the stream. For any given ditch, water flows in only one direction, but there might be a way that water can flow in a circle.
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input |
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Input file contains multiple test cases.
In a test case:
Line 1: Two space-separated integers, N (0 <= N <= 200) and M (2 <= M <= 200). N is the number of ditches that Farmer John has dug. M is the number of intersections points for those ditches. Intersection 1 is the pond. Intersection point M is the stream.
Line 2..N+1: Each of N lines contains three integers, Si, Ei, and Ci. Si and Ei (1 <= Si, Ei <= M) designate the intersections between which this ditch flows. Water will flow through this ditch from Si to Ei. Ci (0 <= Ci <= 10,000,000) is the maximum rate at which water will flow through the ditch.
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output |
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For each case,One line with a single integer, the maximum rate at which water may emptied from the pond.
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sample_input |
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5 4
1 2 40
1 4 20
2 4 20
2 3 30
3 4 10
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sample_output |
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50
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最大流模板题目
#include <iostream> using namespace std; const int OO=1e9;//无穷大 const int maxm=111111;//边的最大数量,为原图的两倍 const int maxn=999;//点的最大数量 int node,src,dest,edge;//node节点数,src源点,dest汇点,edge边数 int head[maxn],work[maxn],dis[maxn],q[maxn];//head链表头,work临时表头,dis计算距离 struct edgenode{ int to;//边的指向 int flow;//边的容量 int next;//链表的下一条边 }edges[maxm]; //初始化链表及图的信息 void prepare(int _node,int _src,int _dest) { node=_node; src=_src; dest=_dest; for (int i=0;i<node;i++) head[i]=-1; edge=0; } //添加一条从u到v容量为c的边 void addedge(int u,int v,int c) { edges[edge].flow=c;edges[edge].to=v;edges[edge].next=head[u];head[u]=edge++; edges[edge].flow=0;edges[edge].to=u;edges[edge].next=head[v];head[v]=edge++; } //广搜计算出每个点与源点的最短距离,如果不能到达汇点说明算法结束 bool Dinic_bfs() { int u,v,r=0; for (int i=0;i<node;i++) dis[i]=-1; q[r++]=src; dis[src]=0; for (int l=0;l<r;l++) { u=q[l]; for (int i=head[u];i!=-1;i=edges[i].next) { v=edges[i].to; if (edges[i].flow&&dis[v]<0) {//这条边必须要有剩余流量 q[r++]=v; dis[v]=dis[u]+1; if (v==dest) return true; } } } return false; } //寻找可行流的增广路算法,按节点的距离来找,加快速度 int Dinic_dfs(int u,int exp) { int v,tmp; if (u==dest) return exp; //work是临时链表头,这里用 i引用它,这样寻找过的边不再寻找 for (int &i=work[u];i!=-1;i=edges[i].next) { v=edges[i].to; if (edges[i].flow&&dis[v]==dis[u]+1&&(tmp=Dinic_dfs(v,min(exp,edges[i].flow)))>0) { edges[i].flow-=tmp; edges[i^1].flow+=tmp; //正反向边容量改变 return tmp; } } return 0; } //求最大流直到没有可行流 int Dinic_flow() { int ret=0,tmp; while (Dinic_bfs()) { for (int i=0;i<node;i++) work[i]=head[i]; while ( tmp=Dinic_dfs(src,OO) ) ret+=tmp; } return ret; } int main() { int n,m,u,c,v; while (cin>>n>>m) { prepare(m+1,1,m); while (n--) { cin>>u>>v>>c; addedge(u,v,c); } cout<<Dinic_flow()<<endl; } return 0; }