Overview

"Problem Solving in Data Structures & Algorithms Series The ""Problem Solving in Data Structures & Algorithms"" series is designed to help programmers master the application of data structures and algorithms in real-world scenarios, with a particular focus on interview preparation. Written in an easy-to-understand manner, these books offer examples in a variety of programming languages, including Go, C, C++, Java, C#, Python, VB, JavaScript, and PHP. For more information: Official website and bulk orders: www.taaran.in GitHub repositories for the books: GitHub - Hemant-Jain-Author Overview of the BookThis book is an excellent resource for those entering the world of data structures and algorithms, especially if you're preparing for technical interviews. It covers key concepts in both data structures, which determine how data is organized in memory for efficient access, and algorithms, which are sets of instructions designed to manipulate these data structures and solve computational problems. Understanding how to design efficient algorithms is a critical skill sought by top technology companies such as Microsoft, Google, and Facebook. Interviewers from these companies often assess candidates' ability to leverage data structures and algorithms to solve complex, real-world problems in an optimized manner. Consequently, mastering these topics is not only essential for passing interviews but also crucial for excelling as a software engineer in the industry. The book starts with an introduction to complexity analysis, which is foundational for understanding the efficiency of algorithms. From there, it delves into various data structures such as Linked Lists, Stacks, Queues, Trees, Heaps, Hash Tables, and Graphs, along with their associated algorithms. You'll also learn about fundamental sorting and searching techniques. In the final chapters, the book introduces advanced algorithmic techniques such as Brute-Force algorithms, Greedy algorithms, Divide and Conquer techniques, Dynamic Programming, and Backtracking. Notably, the section on dynamic programming is particularly strong, as it categorizes dynamic programming problems into five distinct patterns to help you recognize and solve them efficiently. Why This Book Is Essential for Interview PreparationWhen preparing for technical interviews at leading software companies, a deep understanding of data structures and algorithms is indispensable. This book is specifically written from the perspective of interview preparation, providing practical examples and problems to help you sharpen your problem-solving skills. Aside from teaching you how to write algorithms efficiently, the book ensures that you can use this knowledge to handle real-world problems, which is a critical skill in technical interviews. Topics Covered in the BookChapter 0: How to Use This Book Chapter 1: Algorithm Analysis Chapter 2: Approaching Algorithm Design Problems Chapter 3: Abstract Data Types & C# Collections Chapter 4: Searching Chapter 5: Sorting Chapter 6: Linked List Chapter 7: Stack Chapter 8: Queue Chapter 9: Tree Chapter 10: Priority Queue Chapter 11: Hash Table Chapter 12: Graphs Chapter 13: String Algorithms Chapter 14: Algorithm Design Techniques Chapter 15: Brute-Force Algorithms Chapter 16: Greedy Algorithms Chapter 17: Divide and Conquer Algorithms Chapter 18: Dynamic Programming Chapter 19: Backtracking Chapter 20: Complexity Theory"

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