Introduction To The Theory Of Computation

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Introduction to the Theory of Computation

Michael Sipser
Introduction to the Theory of Computation Book PDF

Author : Michael Sipser
Publisher : Cengage Learning
Page : 482 pages
File Size : 53,8 Mb
Release : 2012-06-27
Category : Computers
ISBN : 9781285401065

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Introduction to the Theory of Computation by Michael Sipser Pdf

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

Michael Sipser
Introduction to the Theory of Computation Book PDF

Author : Michael Sipser
Publisher : Thomson/Course Technology
Page : 437 pages
File Size : 47,8 Mb
Release : 2006
Category : Computational complexity
ISBN : 0619217642

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Introduction to the Theory of Computation by Michael Sipser Pdf

"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 the Theory of Computation

Michael Sipser
Introduction to the Theory of Computation Book PDF

Author : Michael Sipser
Publisher : Thomson South-Western
Page : 458 pages
File Size : 55,7 Mb
Release : 2012
Category : Computational complexity
ISBN : 1133187811

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Introduction to the Theory of Computation by Michael Sipser Pdf

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, International Edition. 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 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, International Edition's comprehensive coverage makes this an ideal ongoing reference tool for those studying theoretical computing.

Introduction to the Theory of Computation

Michael Sipser
Introduction to the Theory of Computation Book PDF

Author : Michael Sipser
Publisher : Cengage Learning
Page : 504 pages
File Size : 47,5 Mb
Release : 2012-06-27
Category : Computers
ISBN : 113318779X

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Introduction to the Theory of Computation by Michael Sipser Pdf

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 Languages and the Theory of Computation

John C. Martin
Introduction to Languages and the Theory of Computation Book PDF

Author : John C. Martin
Publisher : McGraw-Hill Science, Engineering & Mathematics
Page : 0 pages
File Size : 45,5 Mb
Release : 2003
Category : Computable functions
ISBN : 0072322004

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Introduction to Languages and the Theory of Computation by John C. Martin Pdf

Provides an introduction to the theory of computation that emphasizes formal languages, automata and abstract models of computation, and computability. This book also includes an introduction to computational complexity and NP-completeness.

Computational Complexity

Sanjeev Arora,Boaz Barak
Computational Complexity Book PDF

Author : Sanjeev Arora,Boaz Barak
Publisher : Cambridge University Press
Page : 609 pages
File Size : 46,7 Mb
Release : 2009-04-20
Category : Computers
ISBN : 9780521424264

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Computational Complexity by Sanjeev Arora,Boaz Barak Pdf

New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.

Models of Computation

Maribel Fernandez
Models of Computation Book PDF

Author : Maribel Fernandez
Publisher : Springer Science & Business Media
Page : 184 pages
File Size : 44,5 Mb
Release : 2009-04-14
Category : Computers
ISBN : 9781848824348

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Models of Computation by Maribel Fernandez Pdf

A Concise Introduction to Computation Models and Computability Theory provides an introduction to the essential concepts in computability, using several models of computation, from the standard Turing Machines and Recursive Functions, to the modern computation models inspired by quantum physics. An in-depth analysis of the basic concepts underlying each model of computation is provided. Divided into two parts, the first highlights the traditional computation models used in the first studies on computability: - Automata and Turing Machines; - Recursive functions and the Lambda-Calculus; - Logic-based computation models. and the second part covers object-oriented and interaction-based models. There is also a chapter on concurrency, and a final chapter on emergent computation models inspired by quantum mechanics. At the end of each chapter there is a discussion on the use of computation models in the design of programming languages.

Introduction To The Theory Of Neural Computation

John A. Hertz
Introduction To The Theory Of Neural Computation Book PDF

Author : John A. Hertz
Publisher : CRC Press
Page : 352 pages
File Size : 40,9 Mb
Release : 2018-03-08
Category : Science
ISBN : 9780429968211

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Introduction To The Theory Of Neural Computation by John A. Hertz Pdf

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.

Theory of Computation

George Tourlakis
Theory of Computation Book PDF

Author : George Tourlakis
Publisher : John Wiley & Sons
Page : 410 pages
File Size : 45,7 Mb
Release : 2014-08-21
Category : Mathematics
ISBN : 9781118315354

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Theory of Computation by George Tourlakis Pdf

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 Computer Science

K. L. P. Mishra,N. CHANDRASEKARAN
Theory of Computer Science Book PDF

Author : K. L. P. Mishra,N. CHANDRASEKARAN
Publisher : PHI Learning Pvt. Ltd.
Page : 436 pages
File Size : 40,9 Mb
Release : 2006-01-01
Category : Computers
ISBN : 9788120329683

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Theory of Computer Science by K. L. P. Mishra,N. CHANDRASEKARAN Pdf

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.

Practical Foundations for Programming Languages

Robert Harper
Practical Foundations for Programming Languages Book PDF

Author : Robert Harper
Publisher : Cambridge University Press
Page : 513 pages
File Size : 55,5 Mb
Release : 2016-04-04
Category : Computers
ISBN : 9781107150300

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Practical Foundations for Programming Languages by Robert Harper Pdf

This book unifies a broad range of programming language concepts under the framework of type systems and structural operational semantics.

Mathematics and Computation

Avi Wigderson
Mathematics and Computation Book PDF

Author : Avi Wigderson
Publisher : Princeton University Press
Page : 434 pages
File Size : 45,9 Mb
Release : 2019-10-29
Category : Computers
ISBN : 9780691189130

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Mathematics and Computation by Avi Wigderson Pdf

An introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography

Introduction to Automata Theory, Languages, and Computation

John E. Hopcroft,Rajeev Motwani,Jeffrey D. Ullman
Introduction to Automata Theory Languages and Computation Book PDF

Author : John E. Hopcroft,Rajeev Motwani,Jeffrey D. Ullman
Publisher : Unknown
Page : 488 pages
File Size : 49,5 Mb
Release : 2014
Category : Computational complexity
ISBN : 1292039051

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Introduction to Automata Theory, Languages, and Computation by John E. Hopcroft,Rajeev Motwani,Jeffrey D. Ullman Pdf

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.

Theory of Computation

Dexter C. Kozen
Theory of Computation Book PDF

Author : Dexter C. Kozen
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 51,7 Mb
Release : 2006-09-19
Category : Computers
ISBN : 9781846284779

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Theory of Computation by Dexter C. Kozen Pdf

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.

An Introduction to Computational Learning Theory

Michael J. Kearns,Umesh Vazirani
An Introduction to Computational Learning Theory Book PDF

Author : Michael J. Kearns,Umesh Vazirani
Publisher : MIT Press
Page : 230 pages
File Size : 40,7 Mb
Release : 1994-08-15
Category : Computers
ISBN : 0262111934

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An Introduction to Computational Learning Theory by Michael J. Kearns,Umesh Vazirani Pdf

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.