| Author | Ian Parberry |
| Publisher | Prentice Hall |
| Year | 2002 |
| Language | English |
| Pages | 268 |
| Size | 2.35 MB |
| Extension |
Summary
"Problems on Algorithms" by Ian Parberry is a practical and challenging problem book that serves as an essential supplement to standard algorithm textbooks. Instead of focusing only on theory, this book emphasizes the *art of problem-solving* through a curated set of exercises that cover the breadth of algorithmic topics taught in undergraduate and graduate computer science programs.
The book explores fundamental algorithmic paradigms such as divide-and-conquer, greedy algorithms, dynamic programming, graph algorithms, and complexity analysis. Each section presents carefully designed problems that not only reinforce conceptual understanding but also encourage deeper analytical thinking. For students preparing for competitive exams, coding interviews, or academic courses, this book acts as a rigorous training manual.
Unlike many traditional algorithm texts that lean heavily on theoretical proofs, *Problems on Algorithms* prioritizes practice, helping readers build confidence by working through progressively difficult exercises. Readers are challenged to engage actively, learn by doing, and master the ability to transform abstract algorithmic concepts into concrete problem-solving strategies.
Key Features
- Comprehensive collection of algorithmic problems across major areas of computer science.
- Problems organized to align with standard computer science curriculum topics.
- Focus on practice and application rather than purely theoretical exposition.
- Valuable resource for students preparing for exams, coding interviews, or competitions.
- Encourages analytical and logical problem-solving skills with real algorithmic challenges.
- Useful as a companion to textbooks like Cormen’s *Introduction to Algorithms*.
About Author
Ian Parberry is a British-born computer scientist and educator, known for his contributions to algorithm design, parallel computing, and game development research. He is a professor at the University of North Texas, where he has dedicated decades to teaching and mentoring computer science students.
Parberry has authored several influential books and numerous research papers in theoretical computer science, focusing on algorithms, complexity theory, and applied areas of computing. Beyond academia, he has also contributed to advancing computer game development education, bridging the gap between theory and practice. *Problems on Algorithms* reflects his passion for teaching by challenging learners to master algorithmic concepts through hands-on problem-solving.
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Frequently Asked Questions
Q: What can I learn by reading this book ?
A: You will gain hands-on problem-solving experience in core algorithmic areas including sorting, searching, graph theory, dynamic programming, and complexity analysis.
Q: This book is suitable for beginners?
A: Not entirely. While motivated beginners may benefit, the problems are designed for students who already have some exposure to algorithms and data structures. It works best as a supplement after learning the basics.
Q: This book is recommended for professionals?
A: Yes. Professionals, researchers, and those preparing for technical interviews will find this book extremely useful for sharpening analytical and problem-solving skills.
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