I have implemented the following C++ Edmonds-Karp algorithm:
#include <iostream>
// Part of Cosmos by OpenGenus Foundation //
#include <limits.h>
#include <string.h>
#include <queue>
using namespace std;
#define V 6
/* Returns true if there is a path from source 's' to sink 't' in
* residual graph. Also fills parent[] to store the path */
bool bfs(int rGraph[V][V], int s, int t, int parent[])
{
// Create a visited array and mark all vertices as not visited
bool visited[V];
memset(visited, 0, sizeof(visited));
// Create a queue, enqueue source vertex and mark source vertex
// as visited
queue <int> q;
q.push(s);
visited[s] = true;
parent[s] = -1;
// Standard BFS Loop
while (!q.empty())
{
int u = q.front();
q.pop();
for (int v = 0; v < V; v++)
if (visited[v] == false && rGraph[u][v] > 0)
{
q.push(v);
parent[v] = u;
visited[v] = true;
}
}
// If we reached sink in BFS starting from source, then return
// true, else false
return visited[t] == true;
}
// Returns tne maximum flow from s to t in the given graph
int fordFulkerson(int graph[V][V], int s, int t)
{
int u, v;
// Create a residual graph and fill the residual graph with
// given capacities in the original graph as residual capacities
// in residual graph
int rGraph[V][V]; // Residual graph where rGraph[i][j] indicates
// residual capacity of edge from i to j (if there
// is an edge. If rGraph[i][j] is 0, then there is not)
for (u = 0; u < V; u++)
for (v = 0; v < V; v++)
rGraph[u][v] = graph[u][v];
int parent[V]; // This array is filled by BFS and to store path
int max_flow = 0; // There is no flow initially
// Augment the flow while tere is path from source to sink
while (bfs(rGraph, s, t, parent))
{
// Find minimum residual capacity of the edges along the
// path filled by BFS. Or we can say find the maximum flow
// through the path found.
int path_flow = INT_MAX;
for (v = t; v != s; v = parent[v])
{
u = parent[v];
path_flow = min(path_flow, rGraph[u][v]);
}
// update residual capacities of the edges and reverse edges
// along the path
for (v = t; v != s; v = parent[v])
{
u = parent[v];
rGraph[u][v] -= path_flow;
rGraph[v][u] += path_flow;
}
// Add path flow to overall flow
max_flow += path_flow;
}
// Return the overall flow
return max_flow;
}
(source: https://iq.opengenus.org/edmonds-karp-algorithm-for-maximum-flow/)
I would like to save the last BFS of the algorithm, so I can print the minimal cut (which would be {last BFS}
{everything else not found in the last BFS}
)
How do I do that?
I have tried creating a BFS vector every time the bfs
function is called, and reset it, but somehow it doesn't seem to work how I imagined:
in bfs function:
bool bfs(int rGraph[V][V], int s, int t, int parent[], vector<int>& search)
{
...
while (!q.empty())
{
int u = q.front();
search.push_back(u);
q.pop();
...
in the fordFulkerson section:
vector<int>tempsearch;
vector<int>search;
while (bfs(rGraph, s, t, parent, search))
{
...
tempsearch.resize(search);
tempsearch = search //this is now a pseudo-code variant
search.resize(0);
}
//at this point tempsearch or search should be the last bfs, no?
return max_flow;