“The Algorithm Design Manual” by Steven S. Skiena
This book addresses algorithmic techniques and practical problem-solving strategies and is well-known for its practical approach. A list of algorithmic issues and their fixes is included in this book. It is advised for everyone interested in algorithm creation and analysis and is frequently used in computer science courses. It offers a good mix of theory and real-world application, making it appropriate for both beginner and experienced programmers. The large number of examples and exercises in this book, make it a valuable resource for gaining experience with algorithmic problem-solving.
Why should one learn from this book?
- It stresses on algorithm design that is practical and applied.
- It offers an extensive foundation for addressing problems.
- This book contains a list of practice problems involving algorithms.
- The purpose of the problems is to test the reader’s understanding and motivate them to use the information from the book.
Best Data Structures and Algorithms Books
Data Structures and Algorithms is one of the most important skills that every Computer Science student must have. There are a number of remarkable publications on DSA in the market, with different difficulty levels, learning approaches and programming languages. In this article we’re going to discuss a summary of top 10 Best Data Structures and Algorithms Books, along with relevant reasons for why each book should be studied.
Table of Content
- “Introduction to Algorithms” by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
- “Data Structures and Algorithms Made Easy” by Narasimha Karumanchi
- “Algorithms” by Robert Sedgewick and Kevin Wayne
- “Data Structures and Algorithm Analysis in Java” by Mark Allen Weiss
- “Cracking the Coding Interview” by Gayle Laakmann McDowell
- “The Algorithm Design Manual” by Steven S. Skiena
- “The Art of Computer Programming” by Donald E. Knuth
- “Algorithms” by Jeff Erickson
- “Problem Solving with Algorithms and Data Structures Using Python” by Bradley N. Miller and David L. Ranum
- “Introduction to Algorithms: A Creative Approach” by Udi Manber