Created
August 9, 2021 02:13
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Binary Tree Inorder Traversal LeetCode
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/* | |
Given the root of a binary tree, return the inorder traversal of its nodes' values. | |
Example 1: | |
Input: root = [1,null,2,3] | |
Output: [1,3,2] | |
Example 2: | |
Input: root = [] | |
Output: [] | |
Example 3: | |
Input: root = [1] | |
Output: [1] | |
Example 4: | |
Input: root = [1,2] | |
Output: [2,1] | |
Example 5: | |
Input: root = [1,null,2] | |
Output: [1,2] | |
Constraints: | |
The number of nodes in the tree is in the range [0, 100]. | |
-100 <= Node.val <= 100 | |
Follow up: Recursive solution is trivial, could you do it iteratively? | |
*/ | |
/** | |
* Definition for a binary tree node. | |
* function TreeNode(val, left, right) { | |
* this.val = (val===undefined ? 0 : val) | |
* this.left = (left===undefined ? null : left) | |
* this.right = (right===undefined ? null : right) | |
* } | |
*/ | |
/** | |
* @param {TreeNode} root | |
* @return {number[]} | |
*/ | |
var inorderTraversal = function(root) { | |
// recursive method | |
let res = []; | |
const inOrder = (root) => { | |
if (root == null) return; | |
inOrder(root.left); | |
res.push(root.val); | |
inOrder(root.right); | |
} | |
inOrder(root); | |
return res; | |
// iterative method | |
// const stack = [], result = []; | |
// root && stack.push(root); | |
// while (stack.length) { | |
// const item = stack.pop(); | |
// if (item.left) { | |
// stack.push(item); | |
// stack.push(item.left); | |
// item.left = null; | |
// } | |
// else { | |
// result.push(item.val); | |
// item.right && stack.push(item.right); | |
// } | |
// } | |
// return result; | |
}; | |
const root = [1,null,2]; | |
console.log(inorderTraversal(root)) |
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