Balanced Binary Tree
Given a binary tree, determine if it is height-balanced. A height-balanced binary tree is one where every node's left and right subtrees differ in height by at most 1.
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Problem
Given a binary tree, determine if it is height-balanced.
Input
The root of a binary tree.
Output
`true` if the tree is height-balanced, `false` otherwise.
Examples
Input: root = [3,9,20,null,null,15,7]
Output: true
Input: root = [1,2,2,3,3,null,null,4,4]
Output: false
The brute-force approach
For each node, compute the height of its left and right subtrees and check if they differ by more than 1. Recurse on all nodes.
def height(node):
if not node: return 0
return 1 + max(height(node.left), height(node.right))
def is_balanced(node):
if not node: return True
lh = height(node.left)
rh = height(node.right)
if abs(lh - rh) > 1: return False
return is_balanced(node.left) and is_balanced(node.right)O(n log n) — height is computed from scratch for each node, causing redundant work.
Spotting the pattern
This is a Tree Traversal problem. The key question to ask yourself:
If you're already computing the height of each subtree, what extra check can you add to detect imbalance in the same pass?
Answering that is where it clicks, and it's exactly what the guided walkthrough below builds with you: the pattern reasoning, a progressive hint ladder that never spoils the answer, a row-by-row dry run, the optimized solution, and an in-browser editor to run your code against real test cases.
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