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Introduction to the Theory of Computation

Author: Michael Sipser

Publisher: Cengage Learning

ISBN:

Category: Computers

Page: 504

View: 292

Now you can clearly present even the most complex computational theory topics to your students with Sipser's distinct, market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one choice for today's computational theory course, this highly anticipated revision retains the unmatched clarity and thorough coverage that make it a leading text for upper-level undergraduate and introductory graduate students. This edition continues author Michael Sipser's well-known, approachable style with timely revisions, additional exercises, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR(k) grammars. This edition's refined presentation ensures a trusted accuracy and clarity that make the challenging study of computational theory accessible and intuitive to students while maintaining the subject's rigor and formalism. Readers gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E's comprehensive coverage makes this an ideal ongoing reference tool for those studying theoretical computing. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Introduction to the Theory of Computation

Author: Michael Sipser

Publisher: Course Technology Ptr

ISBN:

Category: Computers

Page: 396

View: 986

Designed for researchers in advanced numerical methods or parallel computing, this definitive reference focuses on solving large and sparse linear systems of equations using computers. readers are provided with appropriate conceptual background information and hands-on applications throughout the book.

Introduction to the Theory of Computation

Author: Michael Sipser

Publisher: Thomson/Course Technology

ISBN:

Category: Computational complexity

Page: 437

View: 725

"Intended as an upper-level undergraduate or introductory graduate text in computer science theory," this book lucidly covers the key concepts and theorems of the theory of computation. The presentation is remarkably clear; for example, the "proof idea," which offers the reader an intuitive feel for how the proof was constructed, accompanies many of the theorems and a proof. Introduction to the Theory of Computation covers the usual topics for this type of text plus it features a solid section on complexity theory--including an entire chapter on space complexity. The final chapter introduces more advanced topics, such as the discussion of complexity classes associated with probabilistic algorithms.

INTRODUCTION TO THEORY OF AUTOMATA, FORMAL LANGUAGES, AND COMPUTATION

Author: DEBIDAS GHOSH

Publisher: PHI Learning Pvt. Ltd.

ISBN:

Category: Computers

Page: 260

View: 269

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.

Introduction to Languages and the Theory of Computation

Author: John C. Martin

Publisher: McGraw-Hill Professional

ISBN:

Category: Computers

Page: 543

View: 135

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.

Introduction to Languages and the Theory of Computation

Author: John Martin

Publisher: McGraw-Hill Education

ISBN:

Category: Computers

Page: 448

View: 720

Introduction to Languages and the Theory of Computation helps students make the connection between the practice of computing and an understanding of the profound ideas that defines it. 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. The author has learned through many years of teaching that the best way to present theoretical concepts is to take advantage of the precision and clarity of mathematical language. In a way that is accessible to students still learning this language, he presents the necessary mathematical tools gently and gradually which provides discussion and examples that make the language intelligible.

Languages and Machines

An Introduction to the Theory of Computer Science

Author: Thomas A. Sudkamp

Publisher: Addison Wesley Publishing Company

ISBN:

Category: Complejidad computacional

Page: 444

View: 925

A presentation of the theory of computing, including coverage of the theory of formal languages and automata, compatability, computational complexity, and deterministic parsing of context-free languages.

Introduction To The Theory Of Neural Computation

Author: John A. Hertz

Publisher: CRC Press

ISBN:

Category: Science

Page: 352

View: 591

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.

Introduction to Formal Languages, Automata Theory and Computation

Author:

Publisher: Pearson Education India

ISBN:

Category: Computable functions

Page: 436

View: 828

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.

An Introduction to the General Theory of Algorithms

Author: Michael Machtey

Publisher: North Holland

ISBN:

Category: Algorithmes

Page: 264

View: 926

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