Kindly note that we have put a lot of effort into researching the best books on Analysis of Data Structures and Algorithms subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Analysis of Data Structures and Algorithms" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.
|1. “Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles” by Narasimha Karumanchi
“Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles” Book Review: This book acts as a guide for computer science professionals. It furnishes solutions to complex data structures and algorithms. This book is coded in C/C++. It serves as an interview and exam guide for computer scientists. It is a solution Bank for various difficult problems related to data structures and algorithms. This book covers various topics like stacks, queues, trees, priority, queue and heaps, disjoint sets ADT. It also presents hashing, selection algorithms and symbol tables.
|2. “Data Structures and Algorithms in Java” by Lafore
“Data Structures and Algorithms in Java” Book Review: This book was written in a way that each program to improve its operation. And it also helps to clarify the algorithms. It demonstrates and considers the latest versions of the Java 2 SDK. This book provides questions and exercises at the end of each chapter. This helps us to gain deep mastery over today’s best practices. It discusses approaches for manipulating virtually any form of data with Java.
|3. “Data Structures and Algorithms” by AHO
“Data Structures and Algorithms” Book Review: This book serves as a textbook for undergraduate students. also gives the required information for graduate students. It acts as a book for the first course on data structures and algorithms. It secures a style and content relevant to current programming. This book assumes the familiarity with a high-level programming language like Pascal. The book spans matching to wide-ranging topics.
| 4. “Coding Interview Questions” by Narasimha Karumanchi
“Coding Interview Questions” Book Review: This book provides basics of programming, recursion and backtracking. It discusses linked lists, stacks, queues, trees, priority queues and heaps. This book covers the graph algorithms, sorting, searching, selection algorithms [medians]. It also provides information about symbol tables, hashing, string algorithms and algorithmics design and techniques. This book also presents greedy algorithms, divide and conquer algorithms. It also avails the explanation for dynamic programming, complexity classes, design interview questions, etc.
|5. “Data Structures Through C in Depth” by Deepali Srivastava and S K Srivastava|
|6. “Cracking the Coding Interview” by Gayle Laakmann McDowell|
| 7. “Data Structure and Algorithmic Thinking with Python” by Narasimha Karumanchi
“Data Structure and Algorithmic Thinking with Python” Book Review: This book targets on giving solutions for difficult problems in data structures and algorithms. It provides more than one solution for a single problem. It acquaint us with various possible approaches to the same problem. This book is designed to give inspiration to programmers, job seekers and those who are appearing for exams. The programming puzzles presented in this book encourages analytical thinking. It also prepares us for interviews.
|8. “Data Structures and Algorithms: Concepts – Techniques and Applications” by G A V Pai|
| 9. “Introduction to Algorithms” by Thomas H Cormen and Charles E Leiserson
“Introduction to Algorithms” Book Review: This book mixes thoroughness and soundness. It covers a wide range of algorithms in depth. It also makes their design and analysis available to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. It explains the algorithms in English and in a pseudocode. These algorithms are designed to be readable by anyone who has done a little programming. This book keeps the descriptions elementary without sacrificing depth of coverage or mathematical rigor.
|10. “Algorithms and Data Structures” by imusti|
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