Introduction to the Theory of Computation 1st Edition

by Michael Sipser (Author)

54 customer reviews

ISBN-13: 978-0534947286

ISBN-10: 053494728X

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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.

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"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.

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Product Details

Hardcover: 416 pages
Publisher: PWS Pub. Co.; 1 edition (December 13, 1996)
Language: English
ISBN-10: 053494728X
ISBN-13: 978-0534947286
Product Dimensions: 9.5 x 6.3 x 0.8 inches
Shipping Weight: 1.6 pounds
Average Customer Review: 4.5 out of 5 stars See all reviews (54 customer reviews)
Amazon Best Sellers Rank: #477,399 in Books (See Top 100 in Books)
- #83 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Machine Theory
- #98 in Books > Textbooks > Computer Science > Algorithms
- #128 in Books > Science & Math > Mathematics > Pure Mathematics > Discrete Mathematics

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4.5 out of 5 stars

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Top Customer Reviews

Absolutely Amazing

ByA. Scudieroon July 18, 2001

Format: Hardcover

When I picked up this book I thought, "You have to be kidding me." This book is very thin, and then a fair chunk of it is mathematics review for some of the formal arguments the book is going to be making later on. One wouldn't think there was much in this book.
One would be wrong. This book goes into rather impressive depth on some rather abstract concepts of computer science without dabbling for too long in the details. It does the best job I've ever seen of explaining the Turing machine and how it relates to computability and decidablity.
The exercises are both easy and insanely difficult - so you can basically chose your level and then go through the book, some of the problems are very hard, some are trivially easy, a great mix makes for great homework assignments.
The "Proof Idea:" sections before every proof give you the underlying concepts in plain english that are about to be stated formally so you have a clue what's happening when the formal definitions start flying. These are priceless and should be included in every other book that uses formal proof techniques.
The book reads fairly well on its own, or makes for a great class text book, which I used it for. As my professor said, "This is a good book because it doesn't have any extra words." but you don't seem to mind as you read it. Probably the best work on the science of computation in the world, certainly the best I've ever seen.

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a lifesaver for all computer science majors!

ByA customeron December 30, 1999

Format: Hardcover

I bought this book in a desperate attempt to pass a Theory of Computation course in which I was enrolled. I was stuck in the sad situation of having a non-English speaking, difficult to understand professor. In addition, the required text for the course was awful. Thanks to Sipser's book, I not only avoided dropping the course, but managed to get an A. (I'm not exagerating). Sipser's book is fantastic compared to others on the subject. It is written in easy to understand, plain, no-nonsense language. (Even the section on pumping lemma is understandable) I became aware of Sipser's book as a result of reading a customer's negative review of another (more expensive) book (Intro to Languages & theory of Computation by J. Martin) on the same subject. The reviewer suggested buying this book by Sipser instead, and that advice was excellent. (Many thanks to that reader, whoever you are!) If you are considering heading for the drop course line at the registrar's office, try this book before you give up and quit!

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Makes the study of Formal Langs amenable to bedtime reading!

ByRam Mohan Raoon August 13, 2000

Format: Hardcover

Summary of this review: You'll find yourself getting interested in, and understanding, concepts, very easily, but if you're an advanced reader you'll often find (at the end of the chapters) that the more advanced topics/problems have been glossed over.
If this is your assigned course textbook, you're lucky. If this is NOT your assigned textbook, USE it as your guide. It makes topics simpler and more intuitive. The way Sipser ropes down exotic theorems into straightforward, understandable logic is almost magical. The book scores in most areas: smoothness of flow, ease of understanding, order of presentation, motivational cues, and thoroughness in the areas covered.
The problem with the book is in the number of topics covered, and in the number of examples. There are not sufficient examples in some cases, and not sufficient material in some cases. This is a small textbook. At the end of each chapter, Sipser often glosses over the more advanced issues. If doing a thorough study, one will frequently need a more complete reference.
This will, of course, not be a problem if your course does not go beyond what is covered here: Finite Automata, Turing Machines, the relationship between the classes of languages, reducibility, and complexity theory.

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Unbelievable

ByMike N. Christoffon May 30, 2000

Format: Hardcover

Reading this book changed my entire set of beliefs regarding the importance and usefulness of computational theory (and math) in computer science. I have been programming since grade 7, yet only after reading this book do I feel like I really have a grasp of it on a fundamental level. Its like there was this whole other world under my nose that I caught passing glimpses of yet was never able to put together. Like in DOS: c:>dir *, why use a star character? Why is XML the way it is? The list goes on and on. This book tied *alot* of 'loose ends' for me.
I always felt that being a cs-tist was about programming, object oriented design/analysis, design patterns, UML, etc.. And there is no doubt that mastery of these technologies are required of any good cs-tist. However, if you want to understand where all these technologies you use come from, how they connect, and to get a glimpse of where its all going, you must combine your current programming and trend following expertise with knowledge of the underlying theories of computation.
This book should be required reading for all first year CS students so that they may get the 'big picture' right from the start and be able to see CS as a whole rather than a bunch of 'kinda related' courses. I see this book inspiring a whole generation of cs-tists - many of whom may have gone into other professions after reading books like 'Introduction to Automata Theory, Languages, and Computation' by Ullman, Hopcroft (a great, rigorous treatment of cs, but *not* a good book to learn from or be inspired by).
Again, great book!

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Five Stars

excellent just like new

Published 8 days ago by Amazon Customer

A classic

My appreciation for this book has grown a lot over time. At first, when reading it for a course, it appeared to me as Yet Another Textbook.Read more

Published 7 months ago by Epimachus

Five Stars

Good and useful.

Published 1 year ago by Wonny

Five Stars

Wonderfully difficult but comprehensive book outlining the theory behind computability that every CS student should know.

Published 1 year ago by Tommy Dietert

Wow... c'mon Sipser

Ok. So here goes nothing.

I've spent the entire semester frustrated with this book. To give you an idea of my background, I'm a computer science student with a focus in...Read more

Published on December 19, 2012 by C. Hockenbrocht

Excellent Work For Students With Varying Computing And Mathematics Backgrounds Or Those With An Interest In These Subjects

This text provides a gentle introduction of this theory covering all three aspects: automata, complexity, and computability.Read more

Published on November 30, 2012 by Agrippa's Epiphany

The worst CS book

As a near-straight A computer science student, I bought this book while taking an Automata and Computability class. This book was terrible.Read more

Published on August 18, 2010 by DashNY

The standard in Computation Theory

This book is very technical in nature, but it covers everything from FA's and regular expressions all the way up to complex Turing machine problems.Read more

Published on July 26, 2010 by Samuel Leathers

Technical and Thorough at the Expense of Readability

This book, while generally pretty complete, seems to have trouble explaining the concepts in anything other than formal definitions and the few "user friendly" explanations that...Read more

Published on September 28, 2005 by Brandon

A Classic

Extremely well written. If you are a student you'll find it very easy to follow - particularly the proofs. Just buy it, i guarantee you will not be dissappointed.

Published on June 23, 2005 by ksb

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