Theory Of Automata Formal Languages And Computation As Per Uptu Syllabus

This Book Is Designed To Meet The Syllabus Of U.P. Technical University. This Book Also Meets The Requirements Of Students Preparing For Various Competitive Examinations. Professionals And Research Workers Can Also Use This Book As A Ready Reference. It Covers The Topics Like Finite State Automata, Pushdown Automata, Turing Machines, Undecidability And Chomosky Hierarchy.Salient Features# Simple And Clear Presentation# Includes More Than 300 Solved Problems# Comprehensive Introduction To Each Topic# Well Explained Theory With Constructive Examples

This Book Is Aimed At Providing An Introduction To The Basic Models Of Computability To The Undergraduate Students. This Book Is Devoted To Finite Automata And Their Properties. Pushdown Automata Provides A Class Of Models And Enables The Analysis Of Context-Free Languages. Turing Machines Have Been Introduced And The Book Discusses Computability And Decidability. A Number Of Problems With Solutions Have Been Provided For Each Chapter. A Lot Of Exercises Have Been Given With Hints/Answers To Most Of These Tutorial Problems.

Introduction to Formal Languages, Automata Theory and Computation presents the theoretical concepts in a concise and clear manner, with an in-depth coverage of formal grammar and basic automata types. The book also examines the underlying theory and principles of computation and is highly suitable to the undergraduate courses in computer science and information technology. An overview of the recent trends in the field and applications are introduced at the appropriate places to stimulate the interest of active learners.

T his book on "Formal Languages & Automata Theory is meant as a textbook for a typical undergraduate course. The subject is taught under various titles such as "finite Automata & Formal Languages", "Theory of Computation" etc. The topics dealt in this book cover the entire standard syllabus prescribed for an undergraduate course. Features Precise and Lucid presentation of definitions and terms. Explains tough concepts in a very simple manner. Clarity of Presentation. More than 100 solved problems including some rare tough problems. Additional topics Contents Introduction Grammars Finite automata Regular expressions & regular languages Properties of regular languages Context free grammars Push down automata Properties of context free languages Turning machines Undecidability list of symbols Answer and hints to selected exercises Bibliography Index.

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

Preliminaries. Finite automata and regular expressions. Properties of regular sets. Context-free grammars. Pushdown automata; Properties of context-free languages. Turing machines. Undecidability. The Cohmsky hierarchy. Heterministic context-free languages. Closure properties of families of languages. Computational complexity theory. Intractable problems. Highlights of other important language classes.

This Third Edition, in response to the enthusiastic reception given by academia and students to the previous edition, offers a cohesive presentation of all aspects of theoretical computer science, namely automata, formal languages, computability, and complexity. Besides, it includes coverage of mathematical preliminaries. NEW TO THIS EDITION • Expanded sections on pigeonhole principle and the principle of induction (both in Chapter 2) • A rigorous proof of Kleene’s theorem (Chapter 5) • Major changes in the chapter on Turing machines (TMs) – A new section on high-level description of TMs – Techniques for the construction of TMs – Multitape TM and nondeterministic TM • A new chapter (Chapter 10) on decidability and recursively enumerable languages • A new chapter (Chapter 12) on complexity theory and NP-complete problems • A section on quantum computation in Chapter 12. • KEY FEATURES • Objective-type questions in each chapter—with answers provided at the end of the book. • Eighty-three additional solved examples—added as Supplementary Examples in each chapter. • Detailed solutions at the end of the book to chapter-end exercises. The book is designed to meet the needs of the undergraduate and postgraduate students of computer science and engineering as well as those of the students offering courses in computer applications.

The Theory of Computation or Automata and Formal Languages assumes significance as it has a wide range of applications in complier design, robotics, Artificial Intelligence (AI), and knowledge engineering. This compact and well-organized book provides a clear analysis of the subject with its emphasis on concepts which are reinforced with a large number of worked-out examples. The book begins with an overview of mathematical preliminaries. The initial chapters discuss in detail about the basic concepts of formal languages and automata, the finite automata, regular languages and regular expressions, and properties of regular languages. The text then goes on to give a detailed description of context-free languages, pushdown automata and computability of Turing machine, with its complexity and recursive features. The book concludes by giving clear insights into the theory of computability and computational complexity. This text is primarily designed for undergraduate (BE/B.Tech.) students of Computer Science and Engineering (CSE) and Information Technology (IT), postgraduate students (M.Sc.) of Computer Science, and Master of Computer Applications (MCA). Salient Features • One complete chapter devoted to a discussion on undecidable problems. • Numerous worked-out examples given to illustrate the concepts. • Exercises at the end of each chapter to drill the students in self-study. • Sufficient theories with proofs.