| Title | Data Structures and Algorithm Analysis in C++, 3rd Edition |
| Author(s) | Dr. Clifford A. Shaffer |
| Publisher | Dover Publications |
| Publication Year | 2011 |
| Edition | 3rd Edition |
| Language | English |
| Pages | 613 pages |
| ISBN | 9780486485829 |
| Genre / Domain | Computer Science, Programming, Algorithms |
| File Size | 2.67 MB |
| Extension |
Book Summary
"Data Structures and Algorithm Analysis in C++, 3rd Edition" by Dr. Clifford A. Shaffer is a comprehensive textbook that provides a rigorous introduction to the design and analysis of algorithms and data structures. Published by Dover Publications, this edition is well-regarded for its clear explanations and practical approach, making it a staple in computer science education. The book bridges the gap between theoretical concepts and practical implementation, using C++ as the primary language to illustrate key principles.
The book covers a wide range of topics essential for any computer science student or professional. It begins with fundamental concepts such as algorithm analysis, complexity, and asymptotic notation. It then delves into various data structures, including lists, stacks, queues, trees, heaps, and hash tables. Advanced topics such as sorting algorithms, graph algorithms, and dynamic programming are also covered in detail. Each concept is explained with a focus on efficiency and real-world applicability, helping readers understand not just how to implement structures, but why certain structures are chosen for specific problems.
This edition includes significant updates to reflect the modern C++ programming landscape. It introduces features of the C++ Standard Template Library (STL) and provides a more modern treatment of algorithms. The book is rich with examples and exercises that reinforce learning. Practical problems at the end of each chapter allow students to apply what they have learned and develop their problem-solving skills. The author's pedagogical approach, which emphasizes conceptual understanding over rote memorization, makes the material accessible and engaging.
The target audience for this book includes second-year computer science students, as well as anyone with a foundational knowledge of programming who wishes to deepen their understanding of algorithms and data structures. It is an ideal text for courses on data structures and algorithm analysis. The book's comprehensive coverage also makes it a valuable reference for professionals and enthusiasts looking to sharpen their skills or prepare for technical interviews.
Dr. Shaffer's reputation as an educator and researcher adds significant credibility to this work. His clear writing style and logical progression of topics have made this book a favorite among students and instructors alike. The affordability of the Dover edition makes it an accessible option for a wide audience. Overall, this book is a timeless resource that continues to be relevant in the ever-evolving field of computer science.
Key Features
- Provides a comprehensive introduction to algorithm analysis and data structures using C++.
- Includes modern C++ features and an introduction to the Standard Template Library (STL).
- Covers fundamental structures such as lists, stacks, queues, trees, heaps, and hash tables.
- Explores advanced topics including sorting, graph algorithms, and dynamic programming.
- Emphasizes the importance of choosing the right data structure for a given problem.
- Features numerous examples and exercises to reinforce understanding and application.
- Written in a clear and accessible style by an experienced educator.
- Provides a balance between theoretical analysis and practical implementation.
- Updated to reflect current best practices in C++ programming.
- Affordable edition from Dover Publications, making it accessible to students.
About the Author
Dr. Clifford A. Shaffer is a professor in the Department of Computer Science at Virginia Tech. He holds a Ph.D. in Computer Science from the University of Maryland, College Park. His research interests include data structures, algorithms, visualization, and software engineering. He is the author of several influential books on data structures and algorithms, and he has received multiple teaching awards for his outstanding contributions to computer science education.
Dr. Shaffer is known for his commitment to making complex topics accessible to students. His teaching philosophy emphasizes the importance of understanding the underlying principles and their practical applications. In addition to his academic work, he has contributed to the development of open-source educational tools and resources, further demonstrating his dedication to the advancement of computer science education.
Related Books
- Introduction to Algorithms — Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
- Data Structures and Algorithms in C++ — Michael T. Goodrich, Roberto Tamassia, David Mount
- Algorithms — Robert Sedgewick, Kevin Wayne
- The Algorithm Design Manual — Steven S. Skiena
- Data Structures and Algorithm Analysis in Java — Dr. Clifford A. Shaffer
- Algorithms in C++ — Robert Sedgewick
- Fundamentals of Data Structures in C++ — Ellis Horowitz, Sartaj Sahni, Dinesh Mehta
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Frequently Asked Questions (FAQ)
Q : What is the primary focus of this book ?
R : The book focuses on the design, implementation, and analysis of data structures and algorithms using the C++ programming language. It emphasizes understanding the efficiency and practicality of different approaches.
Q : What is new in the 3rd edition ?
R : The 3rd edition includes updates for modern C++ features, an introduction to the Standard Template Library (STL), and expanded coverage of sorting, searching, and dynamic programming.
Q : Who is the target audience for this book ?
R : This book is primarily aimed at second-year computer science students, but it is also an excellent resource for programmers, developers, and anyone seeking to deepen their understanding of algorithms and data structures.
Q : What topics are covered in the book ?
R : It covers a wide range of topics, including algorithm analysis, lists, stacks, queues, trees, heaps, hash tables, sorting algorithms, graph algorithms, and dynamic programming.
Q : Is this book suitable for self-study ?
R : Yes, the book's clear explanations, extensive examples, and exercises make it ideal for self-study. It is widely used in academic courses as well.
Q : What is the ISBN for this edition ?
R : The ISBN for the 3rd edition is 9780486485829.
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