Best Books on Algorithms and Data Structure

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For a programmer, books on algorithms and data structure can come in use on a daily basis. So it is quite convenient to have the relevant books on the subject around at all times. This can make it easier for them to learn and improve their skills in the subject. 

Listed below are some of the best books on the topic of algorithms and data structure for use by programmers. So you can take a look at these to find a book that might suit your learning and academic needs. 

7 Best Books on Algorithms and Data Structure & Reviews

1. Introduction to Algorithms

Author: Thomas H. Cormen and Charles E. Leiserson

Publisher: The MIT Press

Pages: 1292

This book is among the few books on algorithms and data structure which are recommended for professionals because of its extensive coverage. However, before diving straight into the details, it is worth mentioning that this book is largely theoretical in nature and runs along the same trail which makes it an extremely useful and comprehensive resource. Yet, it is highly suggested for programmers since it can offer references and quality content for understanding. 

Given the volume of the book, some readers might find it too long to complete swiftly. But that again is the reason why this book manages to cover a vast array of topics and concepts. In this matter, the book is definitely able to achieve the best of both worlds! It is complete and does not lack essence. The vast coverage of the book makes it possible for the reader to make use of its content for academic and learning purposes. Any reader with a basic understanding of programming can access this book and consider it for adding to their knowledge base. 

The authors have made use of basic and explanatory language to avoid compromising on the structural success of the book. It appears that the book is well researched and accurately penned. There are no errors to be found in the book.

Summary: The readers will find this book really impressive and advantageous to cover the topics of data structure and algorithms but the length of the book is a challenge to cover. 

2. Algorithms

Author: Robert Sedgewick and Kevin Wayne 

Publisher: Addison-Wesley Professional

Pages: 976

This book is widely meant to be used by students in colleges and universities. It covers a vast array of content which is designed to serve academic purposes. The author takes a telescopic view of the algorithms and data structures which are prevalent in the present day. Apparently, he wishes to maintain a current and up to date flow of information in this book that might make it more accessible for students and programmers. Additionally, one might not be wrong to conclude that the information shared by the author in this book is a block of knowledge that has developed over the past many years. Thus, any student who has an interest in mathematics, engineering and computer science can also make use of this book, in addition to programmers. 

This book can come in use by teachers to disburse knowledge in the field to students. The book is quite expansive and self-sufficient in covering a vast array of topics. It measures the length and breadth of data structures and offers insightful knowledge to the reader on the topic. This book is more than a tool and a resource in what it offers to the reader. 

Some of the prominent topics, covered by the authors in this book include java implementations, test data, dynamic visualization through a number of lecture slides, online synopsis, links to related material, and assignments with checklists.

Summary: Readers will find this book quite useful as an additional supplement to their educational material. The quality of explanations and data is commendable and highly practical for use in academic purposes. 

3. The Algorithm Design Manual

Author: Steven S S. Skiena 

Publisher: Springer

Pages: 748

True to its name, the book is a walkthrough towards understanding the crux of algorithms and data structures. In a very efficient and effective manner, the book manages to score the trust of the reader with its accurate information. Also, the newer edition of this book contains the latest information to make it relevant to the reader. Thus, it might be sufficient to conclude that the book can be relied upon for academic purposes. 

The book offers a lucid and friendly approach for the reader to grasp the information. There is no dearth of explanations and the content is highly instructional in nature. The book helps the reader navigate the peculiarities of algorithms and data structures. And it also ensures that they do not lose sight of the essential concepts. The book is smartly divided into different categories which ensure that the reader does not have a hard time locating any specific information. 

There are ample tutorial content and exercises in addition to the previous versions of the book. Also, the book offers access to several online resources which prove to be useful in the real-time application of algorithms. The content connects to references to establish their accuracy as well. Thus, we find this book to be sufficient and useful for learning the concepts of data structure and algorithms. 

Summary: The readers will appreciate the inclusion of examples, which make it easier to grasp the words. But at the same time, they also help to solve the practice problems which are provided in the book. 

4. Data Structures and Algorithms Made Easy

Author: Narasimha Karumanchi

Publisher: CareerMonk Publications 

Pages: 416

If you are looking for something that might help you brush up your concepts, then the book is good to go! This is because there are many programmers who wish to refer to a guide which can help them navigate through interviews, examinations and certification courses. This book is best for programmers since it discusses several algorithms related problems and at the same time, also proposes their solutions. Gaining knowledge from this book can enable the reader to write their own data algorithms without feeling queasy. 

However, to be able to make sense of the content in the book, one must be equipped with the basics of mathematics, C and C++. This book can easily serve as a practice book for learners. It can also help in gaining expertise over the concepts of algorithms and data structures. 

The most extensive reason why you may consider getting this book is that it helps the reader get a quick reference to a problem in a crucial moment. The wide coverage of problems and algorithms has made it possible for the users of this book to draw value from its content. 

Overall, this book has a traditional approach that gives a summary of facts and data. 

Summary: The reader might be drawn to the concise and precise coverage of this book and the fact that it is a ready reckoner which can be used at a minute‚Äôs notice! 

5. Advanced Data Structures

Author: Peter Brass

Publisher: Cambridge University Press

Pages: 474

This is high-level textbook o algorithms and data structures. The author makes a stellar introduction to the concepts by highlighting the importance and use of the two in the practical context. A mere beginner might find it challenging to tackle this book and navigate through its details. Thus, it might be right to say that the book is far usable for readers with prior knowledge of these topics. 

Once the introductions are places in order, the author delves straight into the advanced knowledge of the matter. A reader might not feel the need to complain about the coverage of details and illustrations in this book. The work of the author finds support with ample examples and a handful of theory. The book is densely filled with information so the reader must expect some degree of overload which might make it impossible to go through its vastness in one go.

This book largely focuses on the topic of data structures in algorithms and lays immense stress to explain it. However, the effort has been made to include a vast array of other topics as well to make the entire topic comprehensible to the reader. 

Summary: This book has much to offer to the reader, for which it will be highly appreciated and read. The author has certainly tried to make the text simple and easy to understand. 

6. Automate This

Author: Christopher Steiner

Publisher: Portfolio

Pages: 268

This is not a book that you ought to pick up for academic reading. Instead, in the few pages of this book, the author attempts to highlight the increasing pervasiveness of algorithms in our lives. The author begins by recounting how the role of experts has manifested to us in the past few years. Then, he goes on to elucidate on how the algorithms are overtaking it and what it means for the human race.

This book is both, fascinating and frightening at the same time because it succeeds to highlight the transition that algorithms have covered. The author makes a poignant point in covering this aspect of data structures and algorithms. He asks the relevant question as to how these bots are impacting our lives and are it safe to let to grow at this pace. 

From a practical perspective, this book is not as regressive as it may sound but surely begs the reader to take a view on the matter in an unbiased way. Thus, it might be right to say that the book is compelling and forces the reader to take a differential approach. This being said, the book is completely subjective and not meant for the academic purpose for obvious reasons but still happens to be a good option to pick if you wish to understand more about data structures and algorithms. 

So clearly, if you are looking for something that offers a reference into algorithms, this is not the one for you. 

Summary: The book is meant to offer a commentary on the topic of data structures and algorithms. It offers arguments and a review which may or may not go down well with the reader. 

7. Algorithm Design

Author: Jon Kleinberg and Eva Tardos

Publisher: Pearson

Pages: 864

This book is another gem on our list which can easily challenge most of its counterparts. To be on the known end of things, this book is not something that a beginner can handle but is targeted to be meaningful to the more experienced programmer. The author takes a preliminary approach to explore the origins of algorithms and data structure and how they have revolutionized the modern-day world.

This book will be easier to understand once the readers have a background in the basics of the topic. For that, they can refer to either one of the books which have been mentioned in the list above. For a person of academic background, this book solves many problems in one go. A reader can expect to equip himself with the knowledge of analysis techniques and design innovations to help them understand the idea of this book. There are a number of computing applications which can also be learnt through this book. So basically, for a reader, this book has an immense mound of knowledge to offer in a very seamless design that seeks to deliver value and information.

The overall approach through a practical lens has the benefit to entice the interest of the reader.

Summary: This book is bound to go down very well with most of the readers in the wake of gaining practical insight. There is no banter in this book but only valuable resources and tools for the reader. 

In Conclusion

With this, we complete our list of the best books on algorithms and data structure. These books have made it to the list after extensive research. Hence, we highly recommend them to those who wish to learn the subject. 

However, if you may have happened to read another book on this topic, kindly share it with us in the comments below. 

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