}/*** NLR:前序遍历(Preorder Traversal 亦称(先序遍历)) * 访问根结点的操作发生在遍历其左右子树之前。*/publicvoidpreOrderTraversal() {//NSystem.out.print(this);//Lif(this.leftSubNode !=null) {this.leftSubNode.preOrderTraversal(); }//Rif(thi
1classSolution {2public:3vector<int> preorderTraversal(TreeNode *root) {4vector<int>result;5TreeNode *p =root;6while(p) {7if(!p->left) {8result.push_back(p->val);9p = p->right;10}else{11TreeNode *q = p->left;12while(q->right && q->right !=p) {13q = q->right;14}1...
push(NULL); 29 int nLevelCount = 1; 30 while (true) { 31 TreeNode *pTemp = tree_queue.front(); 32 tree_queue.pop(); 33 if (pTemp == NULL) { 34 if (nLevelCount%2 == 0) { //if the num of level is odd, swap the ivec; 35 Swap(ivec); 36 } 37 tree_vector.push_...
2.2 last.right 不为 null,说明之前已经访问过,第二次来到这里,表明当前子树遍历完成,保存 cur 的值,更新 cur = cur.right public List<Integer> inorderTraversal3(TreeNode root) { List<Integer> ans = new ArrayList<>(); TreeNode cur = root; while (cur != null) { //情况 1 if (cur.left ...
Given the root of a binary tree, return the level order traversal of its nodes' values. (i.e., from left to right, level by level). Example 1: Input: root = [3,9,20,null,null,15,7] Output: [[3],[9,20],[15,7]] Example 2: Input: root = [1] Output: [[1]] Example ...
Given a binary tree, return the level order traversal of its nodes' values. (ie, from left to right, level by level). For example: Given binary tree [3,9,20,null,null,15,7], 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ...
Tree traversalis the process of visiting each node in the tree exactly once. Visiting each node in a graph should be done in a systematic manner. If search result in a visit to all the vertices, it is called a traversal. There are basically three traversal techniques for a binary tree th...
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本文总结了tree的三种traversal方式, 三种都用到stack。而且只有在inorder的时候while condition有所不同 Inorder Traversal https://leetcode.com/problems/binary-tree-inorder-traversal/ while(cur || !st.empty()), 同时while loop之前不 push stack ...
从大的层面讲,Binary Tree 可以用DFS和BFS。 对于BFS,我们需要iterative with queue。 对于DFS,Binary Tree 有三种traversal的方式: ** Inorder Traversal: left -> root -> right ** Preoder Traversal: root -> left -> right ** Postoder Traveral: left -> right -> root ...