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Invert Binary Tree

LeetCode 226 | Difficulty: Easy​

Easy

Problem Description​

Given the root of a binary tree, invert the tree, and return its root.

Example 1:

Input: root = [4,2,7,1,3,6,9]
Output: [4,7,2,9,6,3,1]

Example 2:

Input: root = [2,1,3]
Output: [2,3,1]

Example 3:

Input: root = []
Output: []

Constraints:

- The number of nodes in the tree is in the range `[0, 100]`.

- `-100 <= Node.val <= 100`

Topics: Tree, Depth-First Search, Breadth-First Search, Binary Tree


Approach​

Tree DFS​

Traverse the tree recursively (or with a stack). At each node, decide: what information do I need from the left/right subtrees? Process: go left β†’ go right β†’ combine results. Consider preorder, inorder, or postorder traversal based on when you need to process the node.

When to use

Path problems, subtree properties, tree structure manipulation.

Tree BFS (Level-Order)​

Use a queue to process the tree level by level. At each level, process all nodes in the queue, then add their children. Track the level size to know when one level ends and the next begins.

When to use

Level-order traversal, level-based aggregation, right/left side view.


Solutions​

Solution 1: C# (Best: 100 ms)​

MetricValue
Runtime100 ms
MemoryN/A
Date2018-04-25
Solution
/**
* Definition for a binary tree node.
* public class TreeNode {
* public int val;
* public TreeNode left;
* public TreeNode right;
* public TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public TreeNode InvertTree(TreeNode root) {
if(root==null) return root;
var invertedLeft = InvertTree(root.left);
var invertedRight = InvertTree(root.right);
root.left = invertedRight;
root.right = invertedLeft;
return root;
}
}

Complexity Analysis​

ApproachTimeSpace
Tree Traversal$O(n)$$O(h)$

Interview Tips​

Key Points
  • Start by clarifying edge cases: empty input, single element, all duplicates.
  • Consider: "What information do I need from each subtree?" β€” this defines your recursive return value.