Best Reference Books – Algorithms and Data Structures

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We have compiled the list of Top 10 Best Reference Books on Algorithms and Data Structures subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Algorithms and Data Structures along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Algorithms and Data Structures 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 "Algorithms and Data Structures" 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 using C and C++” by Y Langsam

“Data Structures using C and C++” Book Review: This book explores the basics of data structures and their implementation to solve problems using a programming language. The book also demonstrates the usage of C language for advanced programming and the procedure to develop advanced features of C++. The text systematically analyzes algorithms in a step- by-step manner to solve real problems. All the classes in C++ as well as function members, inheritance and object orientation, and polymorphism are also explained. Along with tested and debugged working programs in C and C++, the book also features an example of implementing abstract data types in C++.

2. “Algorithms” by T H Cormen

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“Introduction to Algorithms” Book Review: The book offers a comprehensive coverage of the design and analysis of algorithms, written in English and pseudo-code for easier understandability. Separate chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming are provided. Advanced topics like van Emde Boas trees, multithreaded algorithms, dynamic programming, and edge-based flow are also covered in detail. An appendix on matrices along with numerous examples and problems are provided for practice. Both students and professionals can refer to this book.

3. “The C Programming Language” by B W Kernighan and D M Ritchie

“The C Programming Language” Book Review: The book serves as a comprehensive guide to ANSI standard C language programming. Readers can learn to take advantage of C’s set of operators, economy of expression, improved control flow, and data structures. Syntax notation, declarations, ANSI changes, scope rules, etc. of C language are discussed in detail. Numerous examples and exercises are provided to practice implementation of difficult language constructs. This book is suitable for C programmers, ANSI compilers, and students.

4. “Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles” by Narasimha Karumanchi

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“Data Structures and Algorithms Made Easy in Java” Book Review: This book offers solutions to various complex data structures and algorithmic problems with Java code. Multiple solution strategies are explored for numerous problems having different complexities. Spanning over 21 chapters, the book introduces recursion and backtracking, linked lists, stacks, queues, trees, priority queue and heaps, and disjoint sets ADT. This is followed by discussions on sorting, searching, graph algorithms, selection algorithms, symbol tables, hashing, string algorithms, and algorithms design techniques. Subsequent chapters deal with greedy algorithms, divide and conquer algorithms, dynamic programming, complexity classes, etc. in detail. This book is designed for computer science professionals and serves as a guide to prepare for interviews, exams, and campus work.

5. “Data Structures Through C in Depth” by S K Srivastava and Deepali Srivastava

“Data Structures through C in Depth” Book Review: This book introduces the fundamental components of C language including data structures, pointers, arrays, etc. as well as their applications in different programs. This is followed by in-depth discussion on stack, queue, linked lists, recursion, sorting, tress, searching, hashing and graphs. A separate chapter is dedicated to store management. Important examples and exercises with brief solutions are provided uniformly across its ten chapters. The book is ideal for computer science Polytechnic and UG students at both beginner and advanced levels and can also be used as a supplementary text for any advanced level algorithm books.

6. “Data Structure and Algorithmic Thinking with Python” by Narasimha Karumanchi

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“Data Structures and Algorithmic Thinking with Python” Book Review: This book presents solutions for complex problems in data structures and algorithms using Python code. Adopting a practical approach, multiple solutions are provided effectively for each problem with special focus on the concepts and techniques used. Spanning over 21 chapters, the book introduces recursion and backtracking, linked lists, stacks, queues, trees, priority queue and heaps, and disjoint sets ADT. This is followed by discussions on sorting, searching, graph algorithms, selection algorithms, symbol tables, hashing, string algorithms, and algorithms design techniques. Subsequent chapters deal with greedy algorithms, divide and conquer algorithms, dynamic programming, complexity classes, etc. in detail. Numerous programming puzzles are also provided to help readers improve their analytical skills. The book is intended for programmers, job hunters and people preparing for exams and interviews.

7. “Data Structures” by Seymour Lipschutz

“Data Structures” Book Review: This book presents a detailed coverage of the fundamental theory of data structures including strings, arrays, linked lists, stacks, queues, records & pointers, recursion, trees, graphs, sorting, and searching. An exhaustive set of problems and questions are provided in varying levels of difficulty for better practice. The book is suitable for computer science undergraduates as well as students preparing for competitive examinations in computer science.

8. “Data Structures and Algorithms: Concepts – Techniques and Applications” by G A V Pai

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“Data Structures and Algorithms: Concepts, Techniques, and Applications” Book Review: This book explains the concepts, techniques, and applications of data structures and algorithms without using any programming language. Numerous programming assignments and problems are included to facilitate a better understanding of the implementation of data structures. Illustrations and schematic diagrams are also added for better visualization of the subject. The book is intended for a course on data structures at the undergraduate level.

9. “Data Structure Through C” by Yashavant P Kanetkar

“Data Structures through C” Book Review: This book explains the basic underlying principles of data structures using C programming language. Key concepts like arrays, algorithm analysis, strings, queues, trees and graphs are discussed in detail. Numerous programming examples are provided for better explanation of fundamental concepts. The CD attached with the book includes well-designed animations to elucidate complex procedures related to data structures described in the book. This book is intended for students and computer professionals.

10. “Data Structures and Algorithm Analysis in C” by Weiss

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“Data Structures and Algorithm Analysis in C” Book Review: This book presents a comprehensive treatment of algorithms and data structures using C and C++ programming languages. After learning about stacks, lists, queues, trees, and ADTs, readers can also learn to reduce time constraints and develop programs efficiently by analyzing the feasibility of an algorithm before it is coded. Separate chapters are dedicated to amortized analysis and advanced data structures like the Fibonacci heap, binary heaps, sorting, and NP-completeness. Each type of algorithm is systematically analyzed with the help of examples and illustrations.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Algorithms and Data Structures – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Algorithms and Data Structures" so that one can readily see the list of top books on "Algorithms and Data Structures" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Algorithms and Data Structures subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter