Formal Language And Automata Theory

An Introduction to Formal Languages & Automata provides an excellent presentation of the material that is essential to an introductory theory of computation course. The text was designed to familiarize students with the foundations & principles of computer science & to strengthen the students' ability to carry out formal & rigorous mathematical argument. Employing a problem-solving approach, the text provides students insight into the course material by stressing intuitive motivation & illustration of ideas through straightforward explanations & solid mathematical proofs. By emphasizing learning through problem solving, students learn the material primarily through problem-type illustrative examples that show the motivation behind the concepts, as well as their connection to the theorems & definitions.

The book contains an in-depth coverage of all the topics related to the theory of computation as mentioned in the syllabuses of B.E., M.C.A. and M.Sc. (Computer Science) of various universities. Sufficient amount of theoretical inputs supported by a number of illustrations are included for those who take deep interest in the subject. In the first few chapters, the book presents the necessary basic material for the study of automata theories. Examples of topics included are: regular languages and Kleene's Theorem; minimal automata and syntactic monoids; the relationship between context-free languages and pushdown automata; and Turing machines and decidability. This book facilitates students a more informal writing style while providing the most accessible coverage of automata theory, solid treatment on constructing proofs, many figures and diagrams to help convey ideas, and sidebars to highlight related material. Each chapter offers an abundance of exercises for hands-on learning.

Formal Languages and Automata Theory deals with the mathematical abstraction model of computation and its relation to formal languages. This book is intended to expose students to the theoretical development of computer science. It also provides conceptual tools that practitioners use in computer engineering. An assortment of problems illustrative of each method is solved in all possible ways for the benefit of students. The book also presents challenging exercises designed to hone the analytical skills of students.

The book is a concise, self-contained and fully updated introduction to automata theory – a fundamental topic of computer sciences and engineering. The material is presented in a rigorous yet convincing way and is supplied with a wealth of examples, exercises and down-to-the earth convincing explanatory notes. An ideal text to a spectrum of one-term courses in computer sciences, both at the senior undergraduate and graduate students.

The book introduces the fundamental concepts of the theory of computation, formal languages and automata right from the basic building blocks to the depths of the subject. The book begins by giving prerequisites for the subject, like sets, relations and graphs, and all fundamental proof techniques.It proceeds forward to discuss advanced concepts like Turing machine, its language and construction, an illustrated view of the decidability and undecidability of languages along with the post-correspondence problem. KEY FEATURES • Simple and easy-to-follow text • Complete coverage of the subject as per the syllabi of most universities • Discusses advanced concepts like Complexity Theory and various NP-complete problems • More than 250 solved examples

This classic book on formal languages, automata theory, and computational complexity has been updated to present theoretical concepts in a concise and straightforward manner with the increase of hands-on, practical applications. This new edition comes with Gradiance, an online assessment tool developed for computer science. Please note, Gradiance is no longer available with this book, as we no longer support this product.

The study of formal languages and of related families of automata has long been at the core of theoretical computer science. Until recently, the main reasons for this centrality were connected with the specification and analy sis of programming languages, which led naturally to the following ques tions. How might a grammar be written for such a language? How could we check whether a text were or were not a well-formed program generated by that grammar? How could we parse a program to provide the structural analysis needed by a compiler? How could we check for ambiguity to en sure that a program has a unique analysis to be passed to the computer? This focus on programming languages has now been broadened by the in creasing concern of computer scientists with designing interfaces which allow humans to communicate with computers in a natural language, at least concerning problems in some well-delimited domain of discourse. The necessary work in computational linguistics draws on studies both within linguistics (the analysis of human languages) and within artificial intelligence. The present volume is the first textbook to combine the topics of formal language theory traditionally taught in the context of program ming languages with an introduction to issues in computational linguistics. It is one of a series, The AKM Series in Theoretical Computer Science, designed to make key mathematical developments in computer science readily accessible to undergraduate and beginning graduate students.

A textbook for a graduate course on formal languages and automata theory, building on prior knowledge of theoretical computer models.