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Introduction to the Theory of Computation, by Michael Sipser
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Michael Sipser's philosophy in writing this book is simple: make the subject interesting and relevant, and the students will learn. His emphasis on unifying computer science theory - rather than offering a collection of low-level details - sets the book apart, as do his intuitive explanations. Throughout the book, Sipser - a noted authority on the theory of computation - builds students' knowledge of conceptual tools used in computer science, the aesthetic sense they need to create elegant systems, and the ability to think through problems on their own. INTRODUCTION TO THE THEORY OF COMPUTATION provides a mathematical treatment of computation theory grounded in theorems and proofs. Proofs are presented with a "proof idea" component to reveal the concepts underpinning the formalism. Algorithms are presented using prose instead of pseudocode to focus attention on the algorithms themselves, rather than on specific computational models. Topic coverage, terminology, and order of presentation are traditional for an upper-level course in computer science theory. Users of the Preliminary Edition (now out of print) will be interested to note several new chapters on complexity theory: Chapter 8 on space complexity; Chapter 9 on provable intractability, and Chapter 10 on advanced topics, including approximation algorithms, alternation, interactive proof systems, cryptography, and parallel computing.
- Sales Rank: #298978 in Books
- Brand: Brand: PWS Pub. Co.
- Published on: 1996-12-13
- Original language: English
- Number of items: 1
- Dimensions: .82" h x 6.34" w x 9.46" l,
- Binding: Hardcover
- 416 pages
- Used Book in Good Condition
Amazon.com Review
"Intended as an upper-level undergraduate or introductory graduate text in computer science theory," this book lucidly covers the key concepts and theorems of the theory of computation. The presentation is remarkably clear; for example, the "proof idea," which offers the reader an intuitive feel for how the proof was constructed, accompanies many of the theorems and a proof. Introduction to the Theory of Computation covers the usual topics for this type of text plus it features a solid section on complexity theory--including an entire chapter on space complexity. The final chapter introduces more advanced topics, such as the discussion of complexity classes associated with probabilistic algorithms.
About the Author
Michael Sipser has taught theoretical computer science and mathematics at the Massachusetts Institute of Technology for the past 32 years. He is a Professor of Applied Mathematics, a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), and the current head of the mathematics department. He enjoys teaching and pondering the many mysteries of complexity theory.
Most helpful customer reviews
7 of 8 people found the following review helpful.
Theory for the Rest of Us
By A Customer
Finally, a clearly-written, concise, and thorough introduction to the essentials of the theory of computation. Beautifully designed, written, and illustrated, this book fills a long-standing need, acutely felt by students forced to use dense reference books (like Hopcroft and Ullman) in order to learn the material. Focusing on essential areas (regular and context-free languages, the Church-Turing Thesis, NP-Complete problems) and dropping deadwood (context-sensitive languages, index languages), this book efficiently guides readers through the material that they need to know, without getting bogged down in irrelevant details. The "Proof Idea" concept is especially refreshing, helping students focus on the meat of a proof, rather than the irrelevant details. I highly recommend this book to teachers, students, and anyone else interested getting a fundamental background in the theory of computation.
5 of 5 people found the following review helpful.
An EXCELLENT Automata/Theory of Computation book
By S C
This book is one of the best written books on Automata/Theory of Computation that I have ever seen. It is a great introduction to the subject. It's also a great way to review the key topics.
One of the greatest things about this book is its focus on developing an intuitive understanding of the concepts and proofs. Other books do a better job of formal proofs but this book is light years ahead of any other in terms of helping you develop an intuitive understanding of why a given proof or construction is correct. It's a lot better than the memorize/regurgitate model necessitated by the emphasis on minutiae of other books.
Lastly, this book provides great tips on how to approach problem solving (especially proofs).
9 of 9 people found the following review helpful.
The best!
By Dave O'Hearn
I had this book in a computer theory course and I looked up similar books in the library looking for extra help and different perspectives. They were all horrible in comparison! No book can make this topic as easy as something hands-on like programming, but this one does the best I can imagine. The proofs are preceded by a "proof idea" that outlines what's going on before you get into the rigorous details. The writing is fluid and discusses the implications of the theorems and why they're important. This gives the reader an appreciation of the topic, which is a rare thing in something this arcane. Even if your course doesn't use this book, I recommend buying it as a supplement. I expect it to become a classic in the field.
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