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.

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.

The Linked List collection is designed to help you become proficient with one of the most fundamental and frequently asked data structures in technical interviews. Linked lists are a versatile data structure that can be used to solve a variety of problems, and interviewers often test candidates on their ability to manipulate and optimize them. In this collection, you'll find a comprehensive set of challenges covering all aspects of linked lists, from the basics of singly and doubly linked lists to advanced topics like circular linked lists, insertion, deletion, reversing, and more. By practicing these problems, you'll not only strengthen your problem-solving skills but also gain the confidence needed to tackle interview questions on linked lists. Whether you're preparing for coding interviews or enhancing your understanding of linked lists, this collection offers the essential practice you need.

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.