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  • 队列&栈//克隆图

    克隆一张无向图,图中的每个节点包含一个 label (标签)和一个 neighbors (邻接点)列表 。

    OJ的无向图序列化:

    节点被唯一标记。

    我们用 # 作为每个节点的分隔符,用 , 作为节点标签和邻接点的分隔符。

    例如,序列化无向图 {0,1,2#1,2#2,2}

    该图总共有三个节点, 被两个分隔符  # 分为三部分。 

    1. 第一个节点的标签为 0,存在从节点 0 到节点 1 和节点 2 的两条边。
    2. 第二个节点的标签为 1,存在从节点 1 到节点 2 的一条边。
    3. 第三个节点的标签为 2,存在从节点 2 到节点 2 (本身) 的一条边,从而形成自环。

    我们将图形可视化如下:

           1
          / 
         /   
        0 --- 2
             / 
             \_/
    /**
     * Definition for undirected graph.
     * class UndirectedGraphNode {
     *     int label;
     *     List<UndirectedGraphNode> neighbors;
     *     UndirectedGraphNode(int x) { label = x; neighbors = new ArrayList<UndirectedGraphNode>(); }
     * };
     */
    public class Solution {
        public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) {
            if(node == null) return null;
            HashMap<UndirectedGraphNode,UndirectedGraphNode> hashMap = new HashMap<>();
            LinkedList<UndirectedGraphNode> queue = new LinkedList<>();
            UndirectedGraphNode head = new UndirectedGraphNode(node.label);
            hashMap.put(node,head);
            queue.offer(node);
            while(!queue.isEmpty()){
                UndirectedGraphNode curNode = queue.poll();
                for(UndirectedGraphNode neighbor:curNode.neighbors){
                    if(hashMap.containsKey(neighbor)==false){
                        queue.offer(neighbor);
                        UndirectedGraphNode newNeighbor = new UndirectedGraphNode(neighbor.label);
                        hashMap.put(neighbor,newNeighbor);
                    }
                    hashMap.get(curNode).neighbors.add(hashMap.get(neighbor));
                }
            }
            return head;
        }
    }
    public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) {//DFS
            if (node == null) return null;
            HashMap<UndirectedGraphNode, UndirectedGraphNode> hashMap = new HashMap<>();
            UndirectedGraphNode head = new UndirectedGraphNode(node.label);
            hashMap.put(node, head);
            DFSSearch(hashMap, node);
            return head;
        }
    
        private void DFSSearch(HashMap<UndirectedGraphNode, UndirectedGraphNode> hashMap, UndirectedGraphNode node) {
            if (node == null) return;
            for (UndirectedGraphNode neighbor : node.neighbors) {
                if (hashMap.containsKey(neighbor) == false) {
                    UndirectedGraphNode newNeighbor = new UndirectedGraphNode(neighbor.label);
                    hashMap.put(neighbor, newNeighbor);
                    DFSSearch(hashMap, neighbor);
                }
                hashMap.get(node).neighbors.add(hashMap.get(neighbor));
            }
        }。
    /**
     * Definition for undirected graph.
     * struct UndirectedGraphNode {
     *     int label;
     *     vector<UndirectedGraphNode *> neighbors;
     *     UndirectedGraphNode(int x) : label(x) {};
     * };
     */
    class Solution {
    public:
        map<int,UndirectedGraphNode*> A;
        UndirectedGraphNode *cloneGraph(UndirectedGraphNode *node) {
            if(!node) return NULL;
            UndirectedGraphNode *p = new UndirectedGraphNode(node->label);
            A[node->label] = p;
            for(auto &x:node->neighbors)
                if(!A.count(x->label)) p->neighbors.push_back(cloneGraph(x));
                else p->neighbors.push_back(A[x->label]);
            return p;
        }
    };
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  • 原文地址:https://www.cnblogs.com/strawqqhat/p/10602359.html
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