Learn how to determine whether a Binary Tree is height-balanced using Java and Data Structures concepts. In this guide, we start from basic tree fundamentals, understand the brute-force approach, and then move toward an optimized O(N) solution using postorder traversal. This tutorial is perfect for beginners preparing for coding interviews and looking to master recursion and tree depth calculations in a clear, practical way.
Problem Statement: Given the roots of two binary trees p and q, write a function to check if they are the same or not. Two binary trees are considered the same if they are structurally identical, and the nodes have the same value. Input: p = [1,2,3], q = [1,2,3e] Output: true Input: p =
Leetcode 100: Same Tree Read More »
Binary In-order Traversal Recursive Approach class Solution { public List inOrderTaversal(TreeNode root){ List result = new ArralyList(); inOrder(root, result); return result; } public void inOrder(TreeNode root, List result) { if (root != null) { inOrder(root.left, result); result.add(root.value); inOrder(root.right); } return; } } Time Complexity: O(n); Space Complexity: O(n); Morris Traversal Approach class Solution { public
Binary tree Inorder traversal Read More »
