**Author**: Robert N. Moll

**Publisher:**Springer

**ISBN:**

**Category :**Computers

**Languages :**en

**Pages :**224

**Book Description**

Theory of Computation -- Mathematical Logic and Formal Languages.

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### Worth A Thousand Words

**Author**: Robert N. Moll

**Publisher:** Springer

**ISBN:**

**Category : **Computers

**Languages : **en

**Pages : **224

**Book Description**

Theory of Computation -- Mathematical Logic and Formal Languages.

## An Introduction to Formal Language Theory

**Author**: Robert N. Moll

**Publisher:** Springer

**ISBN:**

**Category : **Computers

**Languages : **en

**Pages : **224

**Book Description**

Theory of Computation -- Mathematical Logic and Formal Languages.

## An Introduction to Formal Languages and Automata

**Author**: Peter Linz

**Publisher:** Jones & Bartlett Learning

**ISBN:** 9780763737986

**Category : **Computers

**Languages : **en

**Pages : **880

**Book Description**

Data Structures & Theory of Computation

## An Introduction to Formal Languages and Automata

**Author**: Linz

**Publisher:** Jones & Bartlett Publishers

**ISBN:** 1284077241

**Category : **Medical

**Languages : **en

**Pages : **463

**Book Description**

Data Structures & Theory of Computation

## Introduction to Formal Languages, Automata Theory and Computation

**Author**: Kamala Krithivasan

**Publisher:** Pearson Education India

**ISBN:** 9788131723562

**Category : **Computable functions

**Languages : **en

**Pages : **446

**Book Description**

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.

## Introduction to Formal Language Theory

**Author**: Michael A. Harrison

**Publisher:** Addison-Wesley

**ISBN:**

**Category : **Language Arts & Disciplines

**Languages : **en

**Pages : **620

**Book Description**

Formal language theory was fist developed in the mid 1950's in an attempt to develop theories of natural language acquisition. It was soon realized that this theory (particularly the context-free portion) was quite relevant to the artificial languages that had originated in computer science. Since those days, the theory of formal languages has been developed extensively, and has several discernible trends, which include applications to the syntactic analysis of programming languages, program schemes, models of biological systems, and relationships with natural languages.

## Introduction to Formal Languages

**Author**: György E. Révész

**Publisher:** Courier Corporation

**ISBN:** 0486169375

**Category : **Mathematics

**Languages : **en

**Pages : **208

**Book Description**

Covers all areas, including operations on languages, context-sensitive languages, automata, decidability, syntax analysis, derivation languages, and more. Numerous worked examples, problem exercises, and elegant mathematical proofs. 1983 edition.

## An Introduction to Formal Languages and Machine Computation

**Author**: Song Y Yan

**Publisher:** World Scientific

**ISBN:** 9814500836

**Category : **Mathematics

**Languages : **en

**Pages : **420

**Book Description**

This book provides a concise and modern introduction to Formal Languages and Machine Computation, a group of disparate topics in the theory of computation, which includes formal languages, automata theory, turing machines, computability, complexity, number-theoretic computation, public-key cryptography, and some new models of computation, such as quantum and biological computation. As the theory of computation is a subject based on mathematics, a thorough introduction to a number of relevant mathematical topics, including mathematical logic, set theory, graph theory, modern abstract algebra, and particularly number theory, is given in the first chapter of the book. The book can be used either as a textbook for an undergraduate course, for a first-year graduate course, or as a basic reference in the field. Contents:Computation-Related Mathematics:Logics and ProofsSets, Functions and GraphsDivisibility, Continued Fractions and CongruencesGroups, Rings and FieldsFormal Languages and Automata:Languages, Grammars and AutomataFinite Automata and Regular LanguagesPush-Down Automata and Context-Free LanguagesTuring Machines and Recursively Enumerable LanguagesTuring Computability and Complexity:Computability and NoncomputabilityDecidability and UndecidabilityComputational ComplexityDesign and Analysis of AlgorithmsNumber-Theoretic Computations and Applications:Primality TestingInteger FactorizationDiscrete LogarithmsCryptology and Systems SecurityHigh-Speed ComputationThree More Applications in ComputingNew Models of Computation:Quantum ComputationBiological ComputationComparison of Quantum and DNA Biological ModelsComparison of Connectionist and DNA Biological Models Readership: Students, teachers and researchers in computer science. keywords:Formal Languages;Automata;Computability;Complexity;Models of Computation

## An Introduction to Formal Language Theory

**Author**: Robert N. Moll

**Publisher:** Springer Science & Business Media

**ISBN:** 146139595X

**Category : **Mathematics

**Languages : **en

**Pages : **203

**Book Description**

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.

## An Introduction to the Theory of Formal Languages and Automata

**Author**: W. J. Levelt

**Publisher:** Walter de Gruyter GmbH & Co KG

**ISBN:** 311088531X

**Category : **Language Arts & Disciplines

**Languages : **en

**Pages : **153

**Book Description**

## Formal Languages and Computation

**Author**: Alexander Meduna

**Publisher:** CRC Press

**ISBN:** 1466513454

**Category : **Computers

**Languages : **en

**Pages : **318

**Book Description**

Formal Languages and Computation: Models and Their Applications gives a clear, comprehensive introduction to formal language theory and its applications in computer science. It covers all rudimental topics concerning formal languages and their models, especially grammars and automata, and sketches the basic ideas underlying the theory of computation, including computability, decidability, and computational complexity. Emphasizing the relationship between theory and application, the book describes many real-world applications, including computer science engineering techniques for language processing and their implementation. Covers the theory of formal languages and their models, including all essential concepts and properties Explains how language models underlie language processors Pays a special attention to programming language analyzers, such as scanners and parsers, based on four language models—regular expressions, finite automata, context-free grammars, and pushdown automata Discusses the mathematical notion of a Turing machine as a universally accepted formalization of the intuitive notion of a procedure Reviews the general theory of computation, particularly computability and decidability Considers problem-deciding algorithms in terms of their computational complexity measured according to time and space requirements Points out that some problems are decidable in principle, but they are, in fact, intractable problems for absurdly high computational requirements of the algorithms that decide them In short, this book represents a theoretically oriented treatment of formal languages and their models with a focus on their applications. It introduces all formalisms concerning them with enough rigors to make all results quite clear and valid. Every complicated mathematical passage is preceded by its intuitive explanation so that even the most complex parts of the book are easy to grasp. After studying this book, both student and professional should be able to understand the fundamental theory of formal languages and computation, write language processors, and confidently follow most advanced books on the subject.

Library of Full eBook Read and Download

Theory of Computation -- Mathematical Logic and Formal Languages.

Theory of Computation -- Mathematical Logic and Formal Languages.

Data Structures & Theory of Computation

Data Structures & Theory of Computation

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.

Formal language theory was fist developed in the mid 1950's in an attempt to develop theories of natural language acquisition. It was soon realized that this theory (particularly the context-free portion) was quite relevant to the artificial languages that had originated in computer science. Since those days, the theory of formal languages has been developed extensively, and has several discernible trends, which include applications to the syntactic analysis of programming languages, program schemes, models of biological systems, and relationships with natural languages.

Covers all areas, including operations on languages, context-sensitive languages, automata, decidability, syntax analysis, derivation languages, and more. Numerous worked examples, problem exercises, and elegant mathematical proofs. 1983 edition.

This book provides a concise and modern introduction to Formal Languages and Machine Computation, a group of disparate topics in the theory of computation, which includes formal languages, automata theory, turing machines, computability, complexity, number-theoretic computation, public-key cryptography, and some new models of computation, such as quantum and biological computation. As the theory of computation is a subject based on mathematics, a thorough introduction to a number of relevant mathematical topics, including mathematical logic, set theory, graph theory, modern abstract algebra, and particularly number theory, is given in the first chapter of the book. The book can be used either as a textbook for an undergraduate course, for a first-year graduate course, or as a basic reference in the field. Contents:Computation-Related Mathematics:Logics and ProofsSets, Functions and GraphsDivisibility, Continued Fractions and CongruencesGroups, Rings and FieldsFormal Languages and Automata:Languages, Grammars and AutomataFinite Automata and Regular LanguagesPush-Down Automata and Context-Free LanguagesTuring Machines and Recursively Enumerable LanguagesTuring Computability and Complexity:Computability and NoncomputabilityDecidability and UndecidabilityComputational ComplexityDesign and Analysis of AlgorithmsNumber-Theoretic Computations and Applications:Primality TestingInteger FactorizationDiscrete LogarithmsCryptology and Systems SecurityHigh-Speed ComputationThree More Applications in ComputingNew Models of Computation:Quantum ComputationBiological ComputationComparison of Quantum and DNA Biological ModelsComparison of Connectionist and DNA Biological Models Readership: Students, teachers and researchers in computer science. keywords:Formal Languages;Automata;Computability;Complexity;Models of Computation

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.

Formal Languages and Computation: Models and Their Applications gives a clear, comprehensive introduction to formal language theory and its applications in computer science. It covers all rudimental topics concerning formal languages and their models, especially grammars and automata, and sketches the basic ideas underlying the theory of computation, including computability, decidability, and computational complexity. Emphasizing the relationship between theory and application, the book describes many real-world applications, including computer science engineering techniques for language processing and their implementation. Covers the theory of formal languages and their models, including all essential concepts and properties Explains how language models underlie language processors Pays a special attention to programming language analyzers, such as scanners and parsers, based on four language models—regular expressions, finite automata, context-free grammars, and pushdown automata Discusses the mathematical notion of a Turing machine as a universally accepted formalization of the intuitive notion of a procedure Reviews the general theory of computation, particularly computability and decidability Considers problem-deciding algorithms in terms of their computational complexity measured according to time and space requirements Points out that some problems are decidable in principle, but they are, in fact, intractable problems for absurdly high computational requirements of the algorithms that decide them In short, this book represents a theoretically oriented treatment of formal languages and their models with a focus on their applications. It introduces all formalisms concerning them with enough rigors to make all results quite clear and valid. Every complicated mathematical passage is preceded by its intuitive explanation so that even the most complex parts of the book are easy to grasp. After studying this book, both student and professional should be able to understand the fundamental theory of formal languages and computation, write language processors, and confidently follow most advanced books on the subject.