Introduction to Languages and the Theory of Computation (third edi- tion), by John Martin, McGraw-Hill, • Introduction to Automata Theory, Languages. COURSE TECHNOLOGY. Introduction to the Theory of Computation,. Second Edition xvii. 0 Introduction. 1. Automata, Computability, and Complexity. Introduction to Automata Theory, Languages and Computation · Read more Introduction to Languages and the Theory of Computation (4th Edition).

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Preface to the Second Edition xvii. 0 Introduction. Automata, Computability, and Complexity. Complexity theory Computability theory. Automata theory. Feedback to the author.. Acknowledgments 0 Introduction. Automata , Computability, and Compl. Complexity theory Computability theory. Automata, Computability, and Complexity 1 .. Introduction to the Theory of Computation first appeared as a Preliminary Edition in paperback.

Your name. A well-written course book that delivers valuable examples and clear introductions. A course in derivative securities: Syntax-Directed Transduction. I never said anything about practical applications.

But I reckon a few HN users might find this useful. The authors are two of my favorite profs from undergrad.

The curriculum at the time had some problems. This book is written for a course that helps fix some of those problems.

So yes, this is written for people who have never written a proof before-undergrads in first or second year. From the title I thought it would be this one: It's also a good book so recommended, the part on automata is useful even for those not interested in theory, and being theory-averse myself, I didn't find it to be too dense although the later chapters certainly are.

I second this. The Sipser text was one of my favorites from my university career. It's very short and covers a lot of material. There's no fluff at all, but it still manages to do a good job explaining the topics. Solid textbooks like that are very rare. It's one of only 3 books I elected to keep after the course was over the others being an assembly language reference and an intro to computer security. Guy is awesome https: It makes me sad to read the introduction and see that their course has become only an elective now.

I'm sure it was replaced by some trivial course about a new fad language. More likely more electives. My favorite thing about this book compared to other mathematical books is that Sipser explicitly gives the "Proof Idea" before delving into a proof.

Most people that use proofs are probably familiar with the sensation of finishing reading a proof only to wonder what in the world just happen Anyone wishes to learn about automata, context-free languages, and Turing machines needs to pick up this book. Most people that use proofs are probably familiar with the sensation of finishing reading a proof only to wonder what in the world just happened.

This hardly happens in this book. Aug 01, Tikhon Jelvis rated it it was amazing Shelves: The best textbook I've read on any subject—by some margin.

I'd get carried away reading it, despite the fact that theoretical CS especially complexity has never been my thing. It's incredibly accessible, to a surprising degree for a book covering advanced abstract topics.

Sipser writes clearly and explains concepts well but, crucially, he does an incredible job building up your intuition. You don't just learn the material, you understand it. That's something few authors try and fewer yet delive The best textbook I've read on any subject—by some margin.

That's something few authors try and fewer yet deliver.

The most visible component of this is the book's structure with "proof sketches"—little proof roadmaps—laid out before diving into the fiddly details of the full proof. All too often, proofs jump around in surprising ways—sure, approach X works, but where did it come from?

What insight is it based on? Proof sketches, coupled with quality prose, help you understand where proofs come from and why they make sense, not just how they work.

He also introduces some interesting context to the ideas and formalisms presented. His observation on the "robustness" of Turing-completeness—how virtually any reasonable model of computation, however weird and exotic, seems to have the same level of power—still influences my views on math and CS.

Robust properties, emerging almost on their own, make mathematical ideas seem far less arbitrary than they would otherwise. Perhaps it's given me a bad case of platonism.

Rare qualities for a textbook, making it the perfect place to start with theoretical CS. One caveat comes to mind: You get a strong introduction to the field, but nothing more. This gets you going, introduces basic vocabulary and demonstrates the theoretical CS mindset but is not enough to progress further on the subject.

A perfect fit if you're reading for enlightenment or curiosity, but needs supplemental resources to go beyond that. But that's not a real shortcoming, it's just a matter of focus. So, keeping that in mind, I can recommend this book unreservedly for anyone interested in theoretical CS. May 25, Jeremy Frens rated it it was amazing Shelves: For some reason it feels strange to me to write a review for a textbook here at Goodreads, especially for a textbook I read and used years ago.

But I love this book.

While I was a college professor in Computer Science , I received a review copy of this book. I used it several times for miscellaneous reasons, and then one semester I actually got to teach from it. Sipser's writing is very clear and instructional. It's nowhere near as dry as the once-traditional textbook, Introduction to Automata For some reason it feels strange to me to write a review for a textbook here at Goodreads, especially for a textbook I read and used years ago.

It's nowhere near as dry as the once-traditional textbook, Introduction to Automata Theory, Languages, and Computation. Has this been unseated since I changed careers?

His selection of exercises and exercises exceeds my disgustingly high standards. You can't do better than this book for a college course in computation. I'm not sure how well it would work to read on your own, but it'll still be better than any of the others.

Runs out of depth really early, but I learned my basics of automata theory from this lovely little hardback and will always love it for that.

Remains the clearest exposition of the fundamental formalisms of which I'm aware. There's plenty of books with much more meat, and you'll inevitably need them -- browse my library for examples.

Aug 31, Omesh rated it liked it. I like how the book is divided into three sections: The book provides a good introduction to computability and complexity maintaining the balance between the two topics. I also like the proof idea sections, which provide valuable insights into proofs before actually proving it formally. Advanced topics in computability and complexity made an interesting read. Obviously one cannot get to the depth of all the theorems on first rea I like how the book is divided into three sections: Obviously one cannot get to the depth of all the theorems on first read as Theory of Computation is quite a dense subject.

As the author mentions some of the theorems which are otherwise covered as main text in other books are covered as a part of problems, also some times the text refers to problems from the previous chapters because of which some gaps were left since I didn't plan to go through the problems on my first read. So, the best thing to do is to workout the problems after finishing each chapter.

I think this is a great text on the subject of theory of computation and one who like the subject should definitely read it twice: The name of the book is confusing - "Introduction to the Topics are very condensed, where rather than giving space to explain things it tends to say "it is obvious that Mar 15, Ayush Bhat rated it it was amazing.

One of the most interactive book I have ever read. This book explains concept in a very good manner. However this book lacks automata type examples , but theory is sufficient to solve any question from other book.

Jan 04, Shawn rated it really liked it. I recently took a Finite Automata course in which we actually only covered about half of the material presented in the book. It was very well-written and for the most part pretty easy to follow.

I'm not the greatest at following precise mathematical definitions, so when I had a tough time making sense of what the book was telling me I still had to go to my professor for clarification, but I think that says more about the difficult of the subject than a fault on any part of the book.

I chose to re I recently took a Finite Automata course in which we actually only covered about half of the material presented in the book.

I chose to rent the book, rather than buy it, however after completing my course I chose to buy myself a copy so I can try to complete the rest of the material via self-study, which I'm still working on. Overall, I'd definitely recommend this book to anybody interested in the Theory of Computation. I wish I could go back in time and give my past self this book, I encourage anyone interested in pursuing a degree in Computer Science to read chapter 0, it will show you the kinds of things that will be expected of you and prepare you for the math you'll need to learn.

The later chapters are excellent for Automata Theory for those interested, and earlier editions like this are fairly cheap.

The language makes the concepts easy to understand, and although the later chapters get a little wordy, i I wish I could go back in time and give my past self this book, I encourage anyone interested in pursuing a degree in Computer Science to read chapter 0, it will show you the kinds of things that will be expected of you and prepare you for the math you'll need to learn. Book Finite-state machine Solutions. Citations Publications citing this paper. Sort by: Influence Recency.

Highly Influenced. Olivier , Hein S. Venter , Jan H. Eloff Third International Conference on Availability…. Christensen Signed real measure of regular languages for discrete event supervisory control Asok Ray Computing the shape of the image of a multi-linear mapping is possible but computationally intractable: General Systems Development of a performantial evaluation tool for fire regulations in France and the countries of the European union Houda Chanti Training artificial neural networks to learn a nondeterministic game Thomas E.