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網絡流Ek算法

struct turn mem queue pty ++ max inf 解釋

詳細解釋待.

紫書模板:

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;
    vector<int>  G[maxn];
    int a[maxn];
    int p[maxn];
    
    void init(int n) {
        
for (int i=0; i<n; ++i) G[i].clear(); edges.clear(); } void add(int u, int v , int val) { edges.push_back(Edge(u, v, val, 0)); edges.push_back(Edge(u, v, 0, 0)); m = edges.size(); G[u].push_back(m-2); G[v].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; } }Ek;

網絡流Ek算法