145. Binary Tree Postorder Traversal
Description
Given the root
of a binary tree, return the postorder traversal of its nodes' values.
Example 1:
Input: root = [1,null,2,3] Output: [3,2,1]
Example 2:
Input: root = [] Output: []
Example 3:
Input: root = [1] Output: [1]
Constraints:
- The number of the 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?
Solution
binary-tree-postorder-traversal.py
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def postorderTraversal(self, root: Optional[TreeNode]) -> List[int]:
res = []
def dfs(node):
if not node: return
dfs(node.left)
dfs(node.right)
res.append(node.val)
dfs(root)
return res
binary-tree-postorder-traversal.cpp
/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode() : val(0), left(nullptr), right(nullptr) {}
* TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
* TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
* };
*/
class Solution {
public:
void dfs(TreeNode* root, vector<int> &res){
if (root == nullptr) return;
dfs(root->left, res);
dfs(root->right, res);
res.push_back(root->val);
}
vector<int> postorderTraversal(TreeNode* root) {
vector<int> res;
dfs(root, res);
return res;
}
};