Clone Graph

描述

Clone an undirected graph. Each node in the graph contains a label and a list of its neighbours.

OJ's undirected graph serialization: Nodes are labeled uniquely.

We use # as a separator for each node, and , as a separator for node label and each neighbour of the node. As an example, consider the serialized graph {0,1,2#1,2#2,2}.

The graph has a total of three nodes, and therefore contains three parts as separated by #.

1. First node is labeled as 0. Connect node 0 to both nodes 1 and 2.
2. Second node is labeled as 1. Connect node 1 to node 2.
3. Third node is labeled as 2. Connect node 2 to node 2 (itself), thus forming a self-cycle.

Visually, the graph looks like the following:

       1
      / \
     /   \
    0 --- 2
         / \
         \_/

分析

广度优先遍历或深度优先遍历都可以。

DFS

// Clone Graph
// DFS，时间复杂度O(n)，空间复杂度O(n)
public class Solution {
    public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) {
        if(node == null) return null;
        // key is original node，value is copied node
        HashMap<UndirectedGraphNode, UndirectedGraphNode> visited = new HashMap<>();
        clone(node, visited);
        return visited.get(node);
    }
    // DFS
    private static UndirectedGraphNode clone(UndirectedGraphNode node,
                                              HashMap<UndirectedGraphNode,
                                                      UndirectedGraphNode> visited) {
        // a copy already exists
        if (visited.containsKey(node)) return visited.get(node);

        UndirectedGraphNode new_node = new UndirectedGraphNode(node.label);
        visited.put(node, new_node);
        for (UndirectedGraphNode nbr : node.neighbors)
            new_node.neighbors.add(clone(nbr, visited));
        return new_node;
    }
}

BFS

// Clone Graph
// BFS，时间复杂度O(n)，空间复杂度O(n)
public class Solution {
    public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) {
        if (node == null) return null;
        // key is original node，value is copied node
        HashMap<UndirectedGraphNode,UndirectedGraphNode> visited = new HashMap<>();
        // each node in queue is already copied itself
        // but neighbors are not copied yet
        Queue<UndirectedGraphNode> q = new LinkedList<>();
        q.offer(node);
        visited.put(node, new UndirectedGraphNode(node.label));
        while (!q.isEmpty()) {
            UndirectedGraphNode cur = q.poll();
            for (UndirectedGraphNode nbr : cur.neighbors) {
                // a copy already exists
                if (visited.containsKey(nbr)) {
                    visited.get(cur).neighbors.add(visited.get(nbr));
                } else {
                    UndirectedGraphNode new_node =
                            new UndirectedGraphNode(nbr.label);
                    visited.put(nbr, new_node);
                    visited.get(cur).neighbors.add(new_node);
                    q.offer(nbr);
                }
            }
        }
        return visited.get(node);
    }
}