The Theory of Computation 1st Edition by Bernard M. Moret (PDF)

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This is the best text on complexity theory I have seen, and could easily become the standard text on the subject…This is the first modern text on the theory of computing. —William Ward Jr, Ph.D, University of South Alabama Taking a practical approach, this modern introduction to the theory of computation focuses on the study of problem solving through computation in the presence of realistic resource constraints. The Theory of Computation explores questions and methods that characterize theoretical computer science while relating all developments to practical issues in computing. The book establishes clear limits to computation, relates these limits to resource usage, and explores possible avenues of compromise through approximation and randomization. The book also provides an overview of current areas of research in theoretical computer science that are likely to have a significant impact on the practice of computing within the next few years. Highlights Motivates theoretical developments by connecting them to practical issues. Introduces every result and proof with an informal overview to build intuition. Introduces models through finite automata, then builds to universal models, including recursion theory. Emphasizes complexity theory, beginning with a detailed discussion of resource use in computation. Includes large numbers of examples and illustrates abstract ideas through diagrams Gives informal presentations of difficult recent results with profound implications for computing. The writing style is very literate and careful. This is a well-written book on theoretical computer science, which is very refreshing. Clear motivations, and lucid reflections on the implications of what the author proves abound. —James A. Foster, Ph.D., University of Idaho

User’s Reviews

Editorial Reviews: From the Back Cover This is the best text on complexity theory I have seen, and could easily become the standard text on the subject…This is the first modern text on the theory of computing. William Ward Jr, Ph.D, University of South AlabamaTaking a practical approach, this modern introduction to the theory of computation focuses on the study of problem solving through computation in the presence of realistic resource constraints. The Theory of Computation explores questions and methods that characterize theoretical computer science while relating all developments to practical issues in computing. The book establishes clear limits to computation, relates these limits to resource usage, and explores possible avenues of compromise through approximation and randomization. The book also provides an overview of current areas of research in theoretical computer science that are likely to have a significant impact on the practice of computing within the next few years.HighlightsMotivates theoretical developments by connecting them to practical issues Introduces every result and proof with an informal overview to build intuition Introduces models through finite automata, then builds to universal models, including recursion theory Emphasizes complexity theory, beginning with a detailed discussion of resource use in computation Includes large numbers of examples and illustrates abstract ideas through diagrams Gives informal presentations of difficult recent results with profound implications for computing The writing style is very literate and careful. This is a well-written book on theoretical computer science, which is very refreshing. Clear motivations, and lucid reflections on the implications of what the author proves abound. James A. Foster, Ph.D., University of Idaho 0201258285B04062001 About the Author Bernard Moret is a Professor of Computer Science at the University of New Mexico. He received his Ph.D. in Electrical Engineering from the University of Tennessee. Dr. Moret received the University’s Graduate Teacher of the Year award, the College of Engineering’s Teaching Excellence award, and the Students’ Faculty Recognition award. He is the Editor-in-Chief of the ACM Journal of Experimental Algorithmics. In this capacity and through his research, he has worked to bridge the gap between theory and applications, emphasizing the need for grounding theoretical developments upon problems of practical importance. Dr. Moret also co-authored Algorithms from P to NP, Volume I: Design and Efficiency, published by Addison-Wesley in 1991. 0201258285AB04062001

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐good

⭐I got a very good deal from Amazon. I m pretty much happy with it. But it took more than 2 weeks for it to arrive although they guaranteed to deliver within 2 weeks.

⭐This is the assigned text for a graduate class in Foundations of Computation that I’m currently taking. I have thus far struggled through the first five chapters, and feel confident about making the following statement: Unless you *already* have a strong intuitive grasp of the concepts that the book covers AND are very comfortable with mathematical formalisms, you will find this to be a very unrewarding book (as I have).I found it absolutely necessary to supplement my reading with the Sipser book (Introduction to the Theory of Computation), which delivers the essential concepts much more cleanly and powerfully. The problem with the Moret book is that the formalism adds almost nothing, while making the concept so much more difficult to extract. For example, the book certainly defines the mathematical notions of recursive and recursively enumerable sets, but the treatment will (I think) only resonate with those already broadly familiar with Turing decidability and recognizability. Otherwise, the discussion seems terribly abstract and unimportant.I’m not being complete fair, because Moret doesn’t leave things completely at the abstract level, but what I’m saying is that when you open this book, you have to already know what you’re looking for. So if you already are familiar with issues of decidability and are ready for a more formal development (which may have no practical value whatsoever), you may get something from the book. If you open the book to see what theory of computation is all about, you will probably regret it.If you’re getting started, get the Sipser book.– Big Muggle

⭐Print quality is not good.

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