This collection is designed for experienced problem solvers who want to deepen their understanding of complex algorithmic techniques. Each section focuses on advanced concepts and patterns frequently used in high-level algorithm challenges, preparing users for tackling intricate problems with efficiency.

This collection introduces fundamental algorithmic techniques and data structures for beginners, offering a gradual learning path through a variety of essential topics. Each section focuses on building a core skillset to help users solve common algorithm problems efficiently.

In this collection, we will explore various applications of binary search across different problem domains and data structures. Starting with the basics in sorted arrays, we will move on to advanced topics including search on sorted and unsorted collections, solution space, range queries, and complex data structures such as 2D matrices. Through these questions, we will learn how binary search can be effectively used to solve diverse algorithm challenges.

This problem set provides a comprehensive approach to mastering tree traversal techniques and binary search tree operations, focusing on fundamental and advanced topics. The collection covers essential tree traversal algorithms such as preorder, inorder, and postorder traversal, and extends into more complex topics like finding the lowest common ancestor (LCA), path sum problems, and binary tree properties like diameter and tilt. Additionally, it delves into the specific operations and properties of binary search trees (BST), including validation, search, deletion, and closest value retrieval.