Introduction to the Theory of Computation

Filename: introduction-to-the-theory-of-computation.pdf
ISBN: 9781285401065
Release Date: 2012-06-27
Number of pages: 504
Author: Michael Sipser
Publisher: Cengage Learning

Download and read online Introduction to the Theory of Computation in PDF and EPUB 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

Filename: introduction-to-the-theory-of-computation.pdf
ISBN: 9781133187790
Release Date: 2012-06-27
Number of pages: 504
Author: Michael Sipser
Publisher: Cengage Learning

Download and read online Introduction to the Theory of Computation in PDF and EPUB 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

Filename: introduction-to-the-theory-of-computation.pdf
ISBN: UOM:39076002285224
Release Date: 1997-01
Number of pages: 396
Author: Michael Sipser
Publisher: Course Technology Ptr

Download and read online Introduction to the Theory of Computation in PDF and EPUB Michael Sipser's emphasis on unifying computer science theory - rather than offering a collection of low-level details - sets the book apart, as do his intuitive explanations. Throughout the book, Sipser builds students' knowledge of conceptual tools used in computer science, the aesthetic sense they need to create elegant systems, and the ability to think through problems on their own.


Introduction to the Theory of Computation

Filename: introduction-to-the-theory-of-computation.pdf
ISBN: 0534950973
Release Date: 2005-02-15
Number of pages: 400
Author: Michael Sipser
Publisher: Cengage Learning

Download and read online Introduction to the Theory of Computation in PDF and EPUB This highly anticipated revision builds upon the strengths of the previous edition. Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.


A Recursive Introduction to the Theory of Computation

Filename: a-recursive-introduction-to-the-theory-of-computation.pdf
ISBN: 0387943323
Release Date: 1994-10-14
Number of pages: 148
Author: Carl Smith
Publisher: Springer Science & Business Media

Download and read online A Recursive Introduction to the Theory of Computation in PDF and EPUB The aim of this textbook is to present an account of the theory of computation. After introducing the concept of a model of computation and presenting various examples, the author explores the limitations of effective computation via basic recursion theory. Self-reference and other methods are introduced as fundamental and basic tools for constructing and manipulating algorithms. From there the book considers the complexity of computations and the notion of a complexity measure is introduced. Finally, the book culminates in considering time and space measures and in classifying computable functions as being either feasible or not. The author assumes only a basic familiarity with discrete mathematics and computing, making this textbook ideal for a graduate-level introductory course. It is based on many such courses presented by the author and so numerous exercises are included. In addition, the solutions to most of these exercises are provided.


Introduction to Languages and the Theory of Computation

Filename: introduction-to-languages-and-the-theory-of-computation.pdf
ISBN: 0073191469
Release Date: 2010-02-02
Number of pages: 448
Author: John Martin
Publisher: McGraw-Hill Education

Download and read online Introduction to Languages and the Theory of Computation in PDF and EPUB 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.


Introduction to languages and the theory of computation

Filename: introduction-to-languages-and-the-theory-of-computation.pdf
ISBN: 0072322004
Release Date: 2003
Number of pages: 543
Author: John C. Martin
Publisher: McGraw-Hill Science/Engineering/Math

Download and read online Introduction to languages and the theory of computation in PDF and EPUB 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.


Programs and machines

Filename: programs-and-machines.pdf
ISBN: UOM:39015000478357
Release Date: 1976
Number of pages: 214
Author: Richard Bird
Publisher: John Wiley & Sons

Download and read online Programs and machines in PDF and EPUB


Introduction to Automata Theory Languages and Computation

Filename: introduction-to-automata-theory-languages-and-computation.pdf
ISBN: 1292039051
Release Date: 2014
Number of pages: 488
Author: John E. Hopcroft
Publisher:

Download and read online Introduction to Automata Theory Languages and Computation in PDF and EPUB 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.


An Introduction to Formal Languages and Automata

Filename: an-introduction-to-formal-languages-and-automata.pdf
ISBN: 9781284077247
Release Date: 2016-01-15
Number of pages: 450
Author: Peter Linz
Publisher: Jones & Bartlett Publishers

Download and read online An Introduction to Formal Languages and Automata in PDF and EPUB Data Structures & Theory of Computation


Introduction to the theory of neural computation

Filename: introduction-to-the-theory-of-neural-computation.pdf
ISBN: 0201503956
Release Date: 1991
Number of pages: 327
Author: John Hertz
Publisher: Addison Wesley Publishing Company

Download and read online Introduction to the theory of neural computation in PDF and EPUB Lecture notes volume I.



Instructor s Manual for Spiser s

Filename: instructor-s-manual-for-spiser-s.pdf
ISBN: 053437462X
Release Date: 1999-05-01
Number of pages: 56
Author: Ching Law
Publisher:

Download and read online Instructor s Manual for Spiser s in PDF and EPUB


Theory of Computation

Filename: theory-of-computation.pdf
ISBN: 9781118315354
Release Date: 2014-08-21
Number of pages: 416
Author: George Tourlakis
Publisher: John Wiley & Sons

Download and read online Theory of Computation in PDF and EPUB Learn the skills and acquire the intuition to assess the theoretical limitations of computer programming Offering an accessible approach to the topic, Theory of Computation focuses on the metatheory of computing and the theoretical boundaries between what various computational models can do and not do—from the most general model, the URM (Unbounded Register Machines), to the finite automaton. A wealth of programming-like examples and easy-to-follow explanations build the general theory gradually, which guides readers through the modeling and mathematical analysis of computational phenomena and provides insights on what makes things tick and also what restrains the ability of computational processes. Recognizing the importance of acquired practical experience, the book begins with the metatheory of general purpose computer programs, using URMs as a straightforward, technology-independent model of modern high-level programming languages while also exploring the restrictions of the URM language. Once readers gain an understanding of computability theory—including the primitive recursive functions—the author presents automata and languages, covering the regular and context-free languages as well as the machines that recognize these languages. Several advanced topics such as reducibilities, the recursion theorem, complexity theory, and Cook's theorem are also discussed. Features of the book include: A review of basic discrete mathematics, covering logic and induction while omitting specialized combinatorial topics A thorough development of the modeling and mathematical analysis of computational phenomena, providing a solid foundation of un-computability The connection between un-computability and un-provability: Gödel's first incompleteness theorem The book provides numerous examples of specific URMs as well as other programming languages including Loop Programs, FA (Deterministic Finite Automata), NFA (Nondeterministic Finite Automata), and PDA (Pushdown Automata). Exercises at the end of each chapter allow readers to test their comprehension of the presented material, and an extensive bibliography suggests resources for further study. Assuming only a basic understanding of general computer programming and discrete mathematics, Theory of Computation serves as a valuable book for courses on theory of computation at the upper-undergraduate level. The book also serves as an excellent resource for programmers and computing professionals wishing to understand the theoretical limitations of their craft.


Theory of Computation

Filename: theory-of-computation.pdf
ISBN: 9781846284779
Release Date: 2006-09-19
Number of pages: 418
Author: Dexter C. Kozen
Publisher: Springer Science & Business Media

Download and read online Theory of Computation in PDF and EPUB This textbook is uniquely written with dual purpose. It cover cores material in the foundations of computing for graduate students in computer science and also provides an introduction to some more advanced topics for those intending further study in the area. This innovative text focuses primarily on computational complexity theory: the classification of computational problems in terms of their inherent complexity. The book contains an invaluable collection of lectures for first-year graduates on the theory of computation. Topics and features include more than 40 lectures for first year graduate students, and a dozen homework sets and exercises.