Drainage Ditches
| Time Limit: 1000MS | Memory Limit: 10000K | |
| Total Submissions: 60927 | Accepted: 23381 |
Description
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.
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.
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.
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.
Input
The input includes several cases. For each case, the first line contains 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. Each of the following 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.
Output
For each case, output a single integer, the maximum rate at which water may emptied from the pond.
Sample Input
5 4 1 2 40 1 4 20 2 4 20 2 3 30 3 4 10
Sample Output
50
解题思路:
没什么好说的,裸最大流,直接套模版即可。。
AC代码:
#include<iostream>
#include<vector>
#include<queue>
#include<algorithm>
#include<cstring>
#include<cstdio>
using namespace std;
const int maxn = 100000;
const int INF = 0xfffffff;
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 EdmondsKarp
{
int n,m;
vector<Edge> edges; //边数的两倍,因为有反向边的存在
vector<int> G[maxn]; //邻接表,G[i][j]表示结点i的第j条边在e数组中的序号
int a[maxn]; //起点到i的可改进量
int p[maxn]; //最短路树上p的入弧编号
void init(int n)
{
for(int i=0;i<n;i++)
G[i].clear();
edges.clear();
}
void AddEdge(int from,int to,int cap)
{
edges.push_back(Edge(from,to,cap,0));
edges.push_back(Edge(to,from,0,0));
m = edges.size();
G[from].push_back(m-2);
G[to].push_back(m-1);
}
int Maxflow(int s,int t)
{
int flow = 0;
while(1)
{
memset(a,0,sizeof(a));
queue<int> Q;
Q.push(s);
a[s] = INF;
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(!a[e.to] && e.cap > e.flow)
{
p[e.to] = G[x][i];
a[e.to] = min(a[x],e.cap - e.flow);
Q.push(e.to);
}
}
if(a[t]) break;
}
if(!a[t]) break;
for(int u = t;u != s;u = edges[p[u]].from)
{
edges[p[u]].flow += a[t];
edges[p[u]^1].flow -= a[t];
}
flow += a[t];
}
return flow;
}
};
int main()
{
int m,n;
int i;
int pos1,pos2,cap;
EdmondsKarp karp;
//freopen("111","r",stdin);
int sum;
while(cin>>m>>n)
{
sum = 0;
karp.init(n);
for(i=0;i<m;i++)
{
cin>>pos1>>pos2>>cap;
karp.AddEdge(pos1,pos2,cap);
sum += karp.Maxflow(1,n);
}
cout<<sum<<endl;
}
return 0;
}

本文深入探讨了如何使用最大流算法解决实际问题,以农民John为例子,解释了如何通过优化水渠网络来提高水资源的利用效率。通过实例分析,详细介绍了输入输出格式、解题思路及AC代码实现,旨在帮助读者理解并应用最大流算法于复杂网络优化场景。
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