Leetcode 之图的算法
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1. Clone Graph
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 #
.
- First node is labeled as
0
. Connect node0
to both nodes1
and2
. - Second node is labeled as
1
. Connect node1
to node2
. - Third node is labeled as
2
. Connect node2
to node2
(itself), thus forming a self-cycle.
Visually, the graph looks like the following:
1 / \ / \ 0 --- 2 / \ \_/
这题和链表拷贝类似:http://fisherlei.blogspot.com/2013/11/leetcode-copy-list-with-random-pointer.html
所不同的是,在链表拷贝中,没有借助额外空间,通过多次链表遍历来拷贝、链接及拆分。
而这里图的拷贝,也可以通过多次遍历来插入拷贝节点,链接拷贝节点以及将拷贝节点拆分出来。但是同样的问题是,需要对图进行多次遍历。如果想在一次遍历中,完成拷贝的话,那就需要使用额外的内存来使用map存储源节点和拷贝节点之间的对应关系。有了这个关系之后,在遍历图的过程中,就可以同时处理访问节点及访问节点的拷贝节点,一次完成。详细看下面代码。
UndirectedGraphNode *cloneGraph(UndirectedGraphNode *node) { if(node == NULL) return NULL; unordered_map<UndirectedGraphNode *, UndirectedGraphNode *>nodeMap; queue<UndirectedGraphNode *> visit; visit.push(node); UndirectedGraphNode * nodeCopy = new UndirectedGraphNode(node->label); nodeMap[node] = nodeCopy; while(visit.size()>0){ UndirectedGraphNode * cur = visit.front(); visit.pop(); for(int i=0; i<cur->neighbors.size();i++){ UndirectedGraphNode *neighb = cur->neighbors[i]; if(nodeMap.find(neighb) == nodeMap.end()){ UndirectedGraphNode *neighCopy = new UndirectedGraphNode(neighb->label); nodeMap[cur]->neighbors.push_back(neighCopy); nodeMap[neighb] = neighCopy; visit.push(neighb); }else{ nodeMap[cur]->neighbors.push_back(nodeMap[neighb]); } } } return nodeCopy; }
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