如何在无向图中找到桥? [英] How can I find bridges in an undirected graph?

问题描述

给定一个无向图，我怎样才能找到所有的桥?我只发现了 Tarjan 的算法，它看起来相当复杂.

Given an undirected Graph, how can I find all the bridges? I've only found Tarjan's algorithm which seems rather complicated.

似乎应该有多个线性时间解决方案，但我找不到任何东西.

It seems there should be multiple linear time solutions, but I can't find anything.

推荐答案

Tarjan 算法是第一个在线性时间内运行的无向图中的找桥算法.但是，存在更简单的算法，您可以在此处查看其实现.

Tarjan's algorithm was the first bridge finding algorithm in an undirected graph that ran in linear time. However a simpler algorithm exists and you can have a look at its implementation here.

    private int bridges;      // number of bridges
    private int cnt;          // counter
    private int[] pre;        // pre[v] = order in which dfs examines v
    private int[] low;        // low[v] = lowest preorder of any vertex connected to v

    public Bridge(Graph G) {
        low = new int[G.V()];
        pre = new int[G.V()];
        for (int v = 0; v < G.V(); v++) low[v] = -1;
        for (int v = 0; v < G.V(); v++) pre[v] = -1;

        for (int v = 0; v < G.V(); v++)
            if (pre[v] == -1)
                dfs(G, v, v);
    }

    public int components() { return bridges + 1; }

    private void dfs(Graph G, int u, int v) {
        pre[v] = cnt++;
        low[v] = pre[v];
        for (int w : G.adj(v)) {
            if (pre[w] == -1) {
                dfs(G, v, w);
                low[v] = Math.min(low[v], low[w]);
                if (low[w] == pre[w]) {
                    StdOut.println(v + "-" + w + " is a bridge");
                    bridges++;
                }
            }

            // update low number - ignore reverse of edge leading to v
            else if (w != u)
                low[v] = Math.min(low[v], pre[w]);
        }
    }

该算法通过维护 2 个数组 pre 和 low 来完成这项工作.pre 保存节点的前序遍历编号.所以 pre[0] = 2 意味着在第三次 dfs 调用中发现了顶点 0.而 low[u] 持有从 u 可达的任何顶点的最小预序数.

该算法在任何时候检测到一条边 u--v 的桥，其中 u 在预序编号中排在第一位，low[v]==pre[v].这是因为如果我们移除 u--v 之间的边，v 将无法到达 u 之前的任何顶点.因此，去除边会将图分成 2 个单独的图.

The algorithm does the job by maintaining 2 arrays pre and low. pre holds the pre-order traversal numbering for the nodes. So pre[0] = 2 means that vertex 0 was discovered in the 3rd dfs call. And low[u] holds the smallest pre-order number of any vertex that is reachable from u.

The algorithm detects a bridge whenever for an edge u--v, where u comes first in the preorder numbering, low[v]==pre[v]. This is because if we remove the edge between u--v, v can't reach any vertex that comes before u. Hence removing the edge would split the graph into 2 separate graphs.

更详细的解释你也可以看看这个答案 .

For a more elaborate explanation you can also have a look at this answer .

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