* TreeNode(int x) : val(x), left(NULL), right(NULL) {} * };*/classSolution {public: vector<int> inorderTraversal(TreeNode*root) { vector<int>ret;if( !root )returnret; stack<TreeNode*>sta; sta.push(root);while( !sta.empty() ) { TreeNode*tmp =sta.top(); sta.pop();if(...
下面这种解法跟Binary Tree Preorder Traversal中的解法二几乎一样,就是把结点值加入结果 res 的步骤从 if 中移动到了 else 中,因为中序遍历的顺序是左-根-右,参见代码如下: 解法三: classSolution {public: vector<int> inorderTraversal(TreeNode*root) { vector<int>res; stack<TreeNode*>s; TreeNode*p ...
Preorder traversal starts printing from the root node and then goes into the left and right subtrees, respectively, while postorder traversal visits the root node in the end. #include<iostream>#include<vector>using std::cout;using std::endl;using std::string;using std::vector;structTreeNode{...
publicList<Integer>inorderTraversal3(TreeNoderoot){List<Integer>ans=newArrayList<>();TreeNodecur=root;while(cur!=null){//情况 1if(cur.left==null){ans.add(cur.val);cur=cur.right;}else{//找左子树最右边的节点TreeNodepre=cur.left;while(pre.right!=null&&pre.right!=cur){pre=pre.right;}...
* struct TreeNode { * int val; * TreeNode *left; * TreeNode *right; * TreeNode(int x) : val(x), left(NULL), right(NULL) {} * }; */ class Solution { public: vector<int> inorderTraversal(TreeNode* root) { vector<int> ret; if(!root) return ret; TreeNode* cur = root; ...
printf("Inorder traversal of the above tree is:\n"); inorder(t);return0; } Output: Inorder traversal of the above tree is: 0 1 2 3 4 5 6 7 8 9 10 C++ implementation: #include <bits/stdc++.h>usingnamespacestd;classTreeNode{// tree node is definedpublic:intval; ...
Given a binary tree, return theinordertraversal of its nodes' values. For example: Given binary tree[1,null,2,3], tree return[1,3,2]. Note:Recursive solution is trivial, could you do it iteratively? Solution DFS, time O(n), space O(1) ...
* Definition for a binary tree node. * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode(int x) { val = x; } * } */classSolution{public List<Integer>inorderTraversal(TreeNode root){List<Integer>result=newArrayList<>();inOrder(root,result);returnres...
Preorder traversal Inorder traversal Postorder traversal Essentially, all three traversals work in roughly the same manner. They start at the root and visit that node and its children. The difference among these three traversal methods is the order with which they visit the node itself versus visi...
Preorder traversal Inorder traversal Postorder traversal Essentially, all three traversals work in roughly the same manner. They start at the root and visit that node and its children. The difference among these three traversal methods is the order with which they visit the node itself versus visi...