• 【Clone Graph】cpp


    题目:

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


    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 neighbor 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
             / 
             \_/

    代码:

    /**
     * Definition for undirected graph.
     * struct UndirectedGraphNode {
     *     int label;
     *     vector<UndirectedGraphNode *> neighbors;
     *     UndirectedGraphNode(int x) : label(x) {};
     * };
     */
    class Solution {
    public:
            UndirectedGraphNode *cloneGraph(UndirectedGraphNode *node)
            {
                map<UndirectedGraphNode *, UndirectedGraphNode *> copied;
                return Solution::dfs(copied, node);
            }
            static UndirectedGraphNode *dfs(
                map<UndirectedGraphNode *, UndirectedGraphNode *>& copied, 
                UndirectedGraphNode *node)
            {
                if ( node == NULL) return NULL;
                if ( copied.find(node)!=copied.end() ) return copied[node];
                UndirectedGraphNode *cloneNode = new UndirectedGraphNode(node->label);
                copied[node] = cloneNode;
                for ( int i=0; i<node->neighbors.size(); ++i )
                {
                    cloneNode->neighbors.push_back( Solution::dfs(copied,node->neighbors[i]) );
                }
                return cloneNode;
            }
    };

    tips:

    图的深拷贝。

    学到的一个技巧是如何不重复拷贝图中的node:用一个map<node *, node *>记录已经拷贝过的原图中的点以及其对应的新图中的点。

    剩下的就是按照深搜模板来完成。

    ====================================

    第二次过这道题,照着之前的思路写,漏掉了重要的红字的部分。

    /**
     * Definition for undirected graph.
     * struct UndirectedGraphNode {
     *     int label;
     *     vector<UndirectedGraphNode *> neighbors;
     *     UndirectedGraphNode(int x) : label(x) {};
     * };
     */
    class Solution {
    public:
            UndirectedGraphNode *cloneGraph(UndirectedGraphNode *node)
            {
                map<UndirectedGraphNode*, UndirectedGraphNode*> originCopy;
                return Solution::dfs(node, originCopy);
            }
            static UndirectedGraphNode* dfs(
                UndirectedGraphNode* origin, 
                map<UndirectedGraphNode*, UndirectedGraphNode*>& originCopy)
            {
                if ( !origin ) return NULL;
                if ( originCopy.find(origin)!=originCopy.end() ) return originCopy[origin];
                UndirectedGraphNode* copy = new UndirectedGraphNode(origin->label);
                originCopy[origin] = copy;
                for ( int i=0; i<origin->neighbors.size(); ++i )
                {
                    copy->neighbors.push_back(Solution::dfs(origin->neighbors[i], originCopy));
                }
                return copy;
            }
    };
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  • 原文地址:https://www.cnblogs.com/xbf9xbf/p/4554066.html
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