102. Binary Tree Level Order Traversal
At a Glance
- Topic: Tree
- Pattern: Analyze Pattern
- Difficulty: Medium
- LeetCode: 102
Problem Statement
Given the root of a binary tree, return the level order traversal of its nodes' values. (i.e., from left to right, level by level).
Example 1:
Input: root = [3,9,20,null,null,15,7] Output: [[3],[9,20],[15,7]]
Example 2:
Input: root = [1] Output: [[1]]
Example 3:
Input: root = [] Output: []
Constraints:
The number of nodes in the tree is in the range [0, 2000].
-1000 <= Node.val <= 1000Approach & Solution Steps
- Brute force —
O(n²)— repeated depth scans for each level height (terrible). - Better — BFS with sentinel
#between levels —O(n)time /O(w)space — works but clunky. - Optimal —
O(n)time /O(w)queue space — process queue in chunks:levelSize = len(queue)each outer iteration.
Optimal JS Solution
class TreeNode {
constructor(val = 0, left = null, right = null) {
this.val = val;
this.left = left;
this.right = right;
}
}
function levelOrder(root) {
if (root === null) {
return [];
}
const result = [];
const queue = [root];
while (queue.length > 0) {
const levelSize = queue.length;
const levelValues = [];
for (let count = 0; count < levelSize; count++) {
const node = queue.shift();
levelValues.push(node.val);
if (node.left !== null) {
queue.push(node.left);
}
if (node.right !== null) {
queue.push(node.right);
}
}
result.push(levelValues);
}
return result;
}Edge Cases & Pitfalls
- Always consider empty or null inputs.
- Watch out for off-by-one index errors.
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