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CS notes/pages/Leetcode Binary-Tree-Inorder-Traversal.md
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CS notes/pages/Leetcode Binary-Tree-Inorder-Traversal.md
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# Leetcode Binary-Tree-Inorder-Traversal
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#### 2022-07-04 15:42
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> ##### Algorithms:
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> #algorithm #DFS #DFS_inorder
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> ##### Data structures:
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> #DS #binary_tree
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> ##### Difficulty:
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> #coding_problem #difficulty-easy
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> ##### Additional tags:
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> #leetcode
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> ##### Revisions:
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> N/A
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##### Related topics:
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```expander
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tag:#DFS
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```
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- [[Leetcode Binary-Tree-Preorder-Traversal]]
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##### Links:
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- [Link to problem](https://leetcode.com/problems/binary-tree-inorder-traversal/)
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___
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### Problem
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Given the `root` of a binary tree, return _the inorder traversal of its nodes' values_.
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#### Examples
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**Example 1:**
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![](https://assets.leetcode.com/uploads/2020/09/15/inorder_1.jpg)
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**Input:** root = [1,null,2,3]
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**Output:** [1,3,2]
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**Example 2:**
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**Input:** root = []
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**Output:** []
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**Example 3:**
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**Input:** root = [1]
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**Output:** [1]
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#### Constraints
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- The number of nodes in the tree is in the range `[0, 100]`.
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- `-100 <= Node.val <= 100`
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### Thoughts
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> [!summary]
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> This is a #DFS traversal problem
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Many of them are same to [[Leetcode Binary-Tree-Preorder-Traversal]]
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### Solution
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Recursion
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```cpp
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/**
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* Definition for a binary tree node.
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* struct TreeNode {
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* int val;
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* TreeNode *left;
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* TreeNode *right;
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* TreeNode() : val(0), left(nullptr), right(nullptr) {}
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* TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
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* TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left),
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* right(right) {}
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* };
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*/
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class Solution {
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void inorder(TreeNode *root, vector<int> &answer) {
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if (!root) {
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return;
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}
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inorder(root->left, answer);
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answer.push_back(root->val);
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inorder(root->right, answer);
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}
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public:
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vector<int> inorderTraversal(TreeNode *root) {
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// Recursion.
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vector<int> answer;
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inorder(root, answer);
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return answer;
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}
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};
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```
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Iteration
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```cpp
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```
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@ -3,21 +3,22 @@
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#### 2022-07-04 14:51
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#### 2022-07-04 14:51
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> ##### Algorithms:
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> ##### Algorithms:
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> #algorithm #DFS #DFS_preorder
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> #algorithm #DFS #DFS_preorder #Morris_traversal
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> ##### Data structures:
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> ##### Data structures:
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> #DS #binary_tree
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> #DS #binary_tree
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> ##### Difficulty:
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> ##### Difficulty:
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> #coding_problem #difficulty-easy
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> #coding_problem #difficulty-easy
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> ##### Additional tags:
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> ##### Additional tags:
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> #leetcode
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> #leetcode #CS_list_need_understanding
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> ##### Revisions:
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> ##### Revisions:
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> N/A
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> N/A
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##### Related topics:
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##### Related topics:
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```expander
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```expander
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tag:#
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tag:#DFS
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```
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```
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- [[Leetcode Binary-Tree-Inorder-Traversal]]
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##### Links:
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##### Links:
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@ -62,6 +63,7 @@ The recursion version is easy to implement.
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Use Stacks for the iteration method, because stacks are FILO, the **subtree will get traversed first.**
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Use Stacks for the iteration method, because stacks are FILO, the **subtree will get traversed first.**
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And remember to push **right subtree** first, so that the left one will be traversed first.
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And remember to push **right subtree** first, so that the left one will be traversed first.
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The Morris traversal needs more understandings.
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### Solution
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### Solution
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Iteration
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Iteration
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