Algorithms
Wishlist
This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and ea…
Book Summary
Algorithms by Dasgupta is a widely used undergraduate textbook that presents algorithm design in an engaging, story-driven manner. It emphasizes intuitive understanding of core mathematical ideas behind each algorithm, balancing rigor with accessibility. Features include historical context boxes, optional advanced topics, linear programming, and a quantum factoring chapter. Ideal for students seeking a clear, enjoyable introduction to algorithms.
This book is not available
Store  |
Condition |
Deals & Coupons | Price |
Est. Shipping |
Total |
Buy |
|---|---|---|---|---|---|---|
| Sorry we could not find any result for “9780073523408” | ||||||
About Algorithms
Algorithms by Sanjoy Dasgupta, Christos Papadimitriou, and Umesh Vazirani is a comprehensive undergraduate textbook developed from extensive class-testing at UC Berkeley and UC San Diego. The book explains fundamental algorithm design in a narrative style that makes complex material enjoyable and easy to digest. It focuses on the crisp mathematical ideas behind each algorithm, presenting them intuitively and rigorously without excessive formalism. Special boxes provide historical context, practical applications, and mathematical excursions. The text covers core topics like sorting, graphs, dynamic programming, and NP-completeness, with carefully chosen advanced topics that can be skipped in a one-semester course. It includes an accessible treatment of linear programming and an optional chapter on quantum factoring. A solutions manual is available, making it a complete learning package for students and instructors.
Who should read Algorithms?
This book is ideal for undergraduate computer science students taking a first course in algorithms, as well as instructors seeking a well-structured, class-tested textbook. It suits self-learners with basic programming and discrete math background who want an intuitive yet rigorous introduction. Advanced students will appreciate the optional chapters on linear programming and quantum algorithms. Professionals needing a refresher on algorithmic fundamentals will also benefit from the clear explanations and historical insights.
Pros & Cons
Pros
- ✓ Engaging narrative style makes complex topics enjoyable and accessible.
- ✓ Emphasizes intuitive understanding of mathematical ideas behind algorithms.
- ✓ Includes historical context and practical application boxes.
- ✓ Offers flexible advanced topics for deeper study.
- ✓ Class-tested over a decade at top universities.
Cons
- ✗ Some readers may find the informal tone less rigorous than traditional texts.
- ✗ Advanced topics are optional and may not satisfy all advanced course needs.
- ✗ Solutions manual is separate and may not be included.
- ✗ Lacks extensive exercises compared to some comprehensive textbooks.
- ✗ Quantum chapter is brief and may require supplementary material.
Similar books
Frequently asked questions
Is this book suitable for self-study?
Yes, the narrative style and intuitive explanations make it accessible for self-learners with basic programming and math background. However, some mathematical maturity is helpful.
Does it cover dynamic programming?
Yes, dynamic programming is covered in depth, with clear examples and explanations of the underlying principles.
Is the solutions manual included?
No, the solutions manual is available separately on the Online Learning Center. It is not included with the textbook.
What background is needed to understand this book?
A basic understanding of programming and discrete mathematics (sets, logic, proofs) is recommended. The book builds from fundamentals.
Does it include quantum algorithms?
Yes, there is an optional chapter on the quantum algorithm for factoring, providing a unique introduction to this advanced topic.
At Windsorbooks, we compare prices from trusted sellers so you can buy, rent, or sell textbooks at the best total price — shipping included.
As an Amazon Associate, Windsorbooks.com may earn a small commission on qualifying purchases.