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Introduction to Languages and the Theory of Computation download epub

by John Martin


Epub Book: 1911 kb. | Fb2 Book: 1819 kb.

to Algorithms", my discrete math text, and others. I was immediately pleased with its slim and concise presentation (having a wife and three kids can be a damper on my study time). As I started reading the first pages, I was struck with an elegance that I obviously had missed years before.

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1. Introduction to Topological.

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Nowadays, the Theory of Computation can be divided into the follow-ing three areas: Complexity Theory, Computability Theory, and Automata Theory. 2 Chapter 1. Introduction.

Chapter 1. Purpose and motivation. Nowadays, the Theory of Computation can be divided into the follow-ing three areas: Complexity Theory, Computability Theory, and Automata Theory.

Among experts also known as the Cinderella Book. This nickname is derived from a girl (putatively Cinderella) on the cover with a Rube Goldberg machine.

Martin, John C. Publication date. Books for People with Print Disabilities. Trent University Library Donation. Internet Archive Books. Uploaded by station13. cebu on August 31, 2019. SIMILAR ITEMS (based on metadata). Terms of Service (last updated 12/31/2014).

Features include an introduction to computational complexity and NP-completeness, numerous examples, and inclusion of Ogden's Lemma.

The book's organization and the author's ability to explain complex topics clearly make this introduction to the theory of computation an excellent resource for a broad range of upper level students.

Through the study of these topics, students encounter profound computational questions and are introduced to topics that will have an ongoing impact in computer science

Introduction to Languages and the Theory of Computation is an introduction to the theory of computation that emphasizes formal languages, automata and abstract models of computation, and computability; it also includes an introduction to computational complexity and NP-completeness. Through the study of these topics, students encounter profound computational questions and are introduced to topics that will have an ongoing impact in computer science. Once students have seen some of the many diverse technologies contributing to computer science, they can also begin to appreciate the field as a coherent discipline. A distinctive feature of this text is its gentle and gradual introduction of the necessary mathematical tools in the context in which they are used. Martin takes advantage of the clarity and precision of mathematical language but also provides discussion and examples that make the language intelligible to those just learning to read and speak it. The material is designed to be accessible to students who do not have a strong background in discrete mathematics, but it is also appropriate for students who have had some exposure to discrete math but whose skills in this area need to be consolidated and sharpened.

Comments: (7)

JoldGold
Arrived on time and couldn't beat the price for the content
Llanonte
Really cheaper and also in good contain except some stains or some notes there. Actually, it is worthy that price.
Геракл
"INTRODUCTION" to Languages and the Theory of Computation. If you are looking for more than that, I recommend you look elsewhere.
Zeks Horde
SOFTCOVER INTERNATIONAL EDITION
Exactly same contents as in US edition
- page by page, word by word
- 100% same study contents in English
Publisher's Note
Introduction to Languages and the Theory of Computation is an introduction to the theory of computation that emphasizes formal languages, automata and abstract models of computation, and computability; it also includes an introduction to computational complexity and NP-completeness. Through the study of these topics, students encounter profound computational questions and are introduced to topics that will have an ongoing impact in computer science. Once students have seen some of the many diverse technologies contributing to computer science, they can also begin to appreciate the field as a coherent discipline. A distinctive feature of this text is its gentle and gradual introduction of the necessary mathematical tools in the context in which they are used. Martin takes advantage of the clarity and precision of mathematical language but also provides discussion and examples that make the language intelligible to those just learning to read and speak it. The material is designed to be accessible to students who do not have a strong background in discrete mathematics, but it is also appropriate for students who have had some exposure to discrete math but whose skills in this area need to be consolidated and sharpened.
Wat!?
The material covered in this book, if you expected to prove what you are doing is correct, is challenging. There were several times in this book, where the explanation from the book was not enough for me to grasp the concept. I am not talking about cramming for the test, I am talking about repeatedly reviewing the concept in the book over several days before giving up and going for extra help.

This is surprising, not because of my shear genius, but because the concepts in the book are not all that hard to grasp after the fact. For this reason, I think the book could be better written, by either including examples of more of the concepts or clearer language explaining the concepts.
catterpillar
As far as basic ideas of automata goes, this book will do. It's not phenomenal, and it's not awful. It is merely sufficient. The main problem is that it lacks elegance in a number of places. In many places, it feels sloppy. Definitions are almost arbitrary, and often lack rigor. Techniques are long, tedious, and not very interesting. (This is nowhere more evident that the finite automaton -> regular expression conversion from Ch. 4, which has a really neat solution that this book does NOT give.) Yet, despite all this, it conveys the important ideas nevertheless.

As far as developing skills for more advanced concepts of theory of computation, things don't look so good. This book's approach can be described as attempting, by sheer force, to make automata problems fit into rather vanilla proof techniques that readers will probably have already learned. The result is likely to do little more than convince readers that the subject is hard.
grand star
During the course this book has been anything but helpful. The introductory part is a laugh as it takes for given you as a reader is very deep into mathematical lingo and proofs. Indeed the poofs are some of the worst written, many of them using statements as "Clearly it is..." and "It is now easy to see...", well, no, it isn't easy and mostly seems like a shortcut from the author to excuse himself from actual explanations.
Even worse is the examples where solutions reference something form an excercise, here's a hint to Mr Martin, students don't solve all the extremly many excercises unless asked to, so saying something will be clear after a certain excercise doesn't work, how will we ever know if we're right or wrong?
The educational value is very low due to the authors way of writing, never really getting the point across and always assuming the reader knows exactly what's going on. This is certainly not the way to teach people rather complex things. All in all anyone should look elsewhere to have a chance.
I read this book during my preparation for a comprehensive exam, which includes materials about theory of computation. I was bad at theory all the time, but reading this book removes all my confusions. It looks like lots of math at first glance, but all the theorems explained clearly after the declarations. This book is also very helpful to understand the fundamental theory for programming languages. I recommend this book for all new graduate students of computer science.
Introduction to Languages and the Theory of Computation download epub
Mathematics
Author: John Martin
ISBN: 0072322004
Category: Science & Math
Subcategory: Mathematics
Language: English
Publisher: McGraw-Hill Science/Engineering/Math; 3rd edition (August 6, 2002)
Pages: 560 pages