Trees & Binary Trees

Trees are hierarchical data structures that appear frequently in algorithmic problems. Master tree traversal, binary tree operations, and binary search tree algorithms.

Learning Map

Tree concepts organized from fundamentals to advanced applications.

Prerequisites

• Time & Space Complexity Analysis
• Basic Data Structures
• Arrays & Strings

What's in scope

• Tree Fundamentals: Terminology, traversal methods, construction, and serialization
• Binary Tree Problems: Path sums, diameter, lowest common ancestor, and tree views
• Binary Search Trees: Properties, operations, range queries, and construction

How to use this section

• Start with Tree Fundamentals to understand basic tree concepts
• Practice Binary Tree Problems for common tree algorithms
• Master Binary Search Trees for efficient search operations

📄️ Tree Fundamentals

Master tree data structures including traversals (inorder, preorder, postorder, level-order), height calculations, and properties.

📄️ Binary Search Trees

Master BST operations including insert, delete, search, and balancing with O(log n) average complexity.

📄️ Binary Tree Problems

Solve classic binary tree problems including LCA, path sum, diameter, and serialization with practical implementations.