Drainage Ditches

本文介绍了一个典型的最大流问题,并提供了一种使用BFS进行增广路径查找的解决方案。通过具体的样例输入输出展示了如何实现最大流算法来解决实际问题。

Problem 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.
 

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


题解:裸地最大流做法。


#include <iostream>
#include <cstdio>
#include <cstring>
#include <queue>
#define mem(a) memset(a,0,sizeof(a));

using namespace std;

const int INF = 0x3fffffff;

int surplus[300][300];
int pre[300];
int flow[300];
queue<int> q;

int bfs(int s,int d)
{
	while(!q.empty())
	{
		q.pop();
	}
	memset(pre,-1,sizeof(pre));
	q.push(s);
	while(!q.empty())
	{
		int t = q.front();
		q.pop();
		for(int i = 1;i <= d;i++)
		{
			if(surplus[t][i] > 0 && pre[i] == -1)
			{
				flow[i] = min(surplus[t][i],flow[t]);
				pre[i] = t;
				if(i == d)
				{
					return flow[d];
				}
				q.push(i);
			}
		}
	}
	
	return -1;
}

int maxFlow(int s,int d)
{
	int res= 0;
	int plus = 0;
	pre[s] = s;
	flow[s] = INF;
	while((plus = bfs(s,d)) != -1)
	{
		res += plus;
		for(int i = d;i != s;i = pre[i])
		{
			surplus[pre[i]][i] -= plus;
			surplus[i][pre[i]] += plus;
		}
	}
	
	return res;
}

int main()
{
	int n,m;
	while(scanf("%d%d",&n,&m) != EOF)
	{
		mem(surplus);
		for(int i = 0;i < n;i++)
		{
			int u,v,c;
			scanf("%d%d%d",&u,&v,&c);
			surplus[u][v] += c;
		}
		
		printf("%d\n",maxFlow(1,m));
	}
	
	
	return 0;
}


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. 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
08-21
This problem is a classic **maximum flow problem** in a directed graph. We are given a network of drainage ditches, where each ditch has a maximum capacity. The goal is to determine the maximum amount of water that can flow from the **source node (pond, node 1)** to the **sink node (stream, node M)**. To solve this efficiently, we can use the **Edmonds-Karp algorithm**, which is an implementation of the **Ford-Fulkerson method** using BFS to find augmenting paths. Here's a Python implementation using BFS for the Edmonds-Karp algorithm: ```python from collections import deque def bfs(capacity, flow, source, sink, parent, M): visited = [False] * (M + 1) queue = deque() queue.append(source) visited[source] = True while queue: u = queue.popleft() for v in range(1, M + 1): if not visited[v] and capacity[u][v] - flow[u][v] > 0: visited[v] = True parent[v] = u if v == sink: return True queue.append(v) return False def edmonds_karp(capacity, source, sink, M): flow = [[0] * (M + 1) for _ in range(M + 1)] parent = [-1] * (M + 1) max_flow = 0 while bfs(capacity, flow, source, sink, parent, M): path_flow = float('inf') s = sink while s != source: path_flow = min(path_flow, capacity[parent[s]][s] - flow[parent[s]][s]) s = parent[s] max_flow += path_flow v = sink while v != source: u = parent[v] flow[u][v] += path_flow flow[v][u] -= path_flow v = parent[v] return max_flow def main(): import sys input = sys.stdin.read data = input().split() index = 0 results = [] while index < len(data): N = int(data[index]) M = int(data[index + 1]) index += 2 capacity = [[0] * (M + 1) for _ in range(M + 1)] for _ in range(N): Si = int(data[index]) Ei = int(data[index + 1]) Ci = int(data[index + 2]) index += 3 capacity[Si][Ei] += Ci max_flow = edmonds_karp(capacity, 1, M, M) results.append(max_flow) for result in results: print(result) if __name__ == "__main__": main() ``` ### Explanation: - **`bfs()`**: This function checks if there's an augmenting path from the source to the sink and updates the parent array to track the path. - **`edmonds_karp()`**: The main function that repeatedly finds augmenting paths using BFS and increases the flow until no more augmenting paths exist. - **`main()`**: Reads the input, constructs the capacity matrix, runs the algorithm, and prints the result. ### Sample Input Execution: For the input: ``` 5 4 1 2 40 1 4 20 2 4 20 2 3 30 3 4 10 ``` The output will be: ``` 50 ``` This is because the max flow from node 1 to node 4 is 50, which is the maximum rate water can be drained. ---
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