An Inroduction to Formal Languages and Automata (Record no. 6507)

MARC details
000 -LEADER
fixed length control field 05503nam a22001577a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210120b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-93-84323-21-9
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 005.131
Item number LIN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Linz Peter
245 ## - TITLE STATEMENT
Title An Inroduction to Formal Languages and Automata
Statement of responsibility, etc. Peter Linz
Medium English6th
250 ## - EDITION STATEMENT
Edition statement 6th ed
Remainder of edition statement 2018
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. New Delhi
Name of publisher, distributor, etc. Jones & Bartlett
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent 449p. ;
Other physical details Soft Bound
Dimensions 16.8*23 cm
505 ## - FORMATTED CONTENTS NOTE
FORMATTED CONTENTS NOTE 1. Introduction to the Theory of Computation<br/>1.1. Mathematical Preliminaries and Notation<br/>Sets<br/>Functions and Relations<br/>Graphs and Trees<br/>Proof Techniques<br/>1.2. Three Basic Concepts<br/>Languages<br/>Grammars<br/>Automata<br/>1.3. Some Applications<br/>2. Finite Automata<br/>2.1. Deterministic Finite Accepters<br/>Deterministic Accepters and Transition Graphs<br/>Languages and Dfa's<br/>Regular Languages<br/>2.2. Nondeterministic Finite Accepters<br/>Definition of a Nondeterministic Accepter<br/>Why Nondeterminism?<br/>2.3. Equivalence of Deterministic and Nondeterministic Finite Accepters<br/>2.4. Reduction of the Number of States in Finite Automata<br/>3. Regular Languages and Regular Grammars<br/>3.1. Regular Expressions<br/>Formal Definition of a Regular Expression<br/>Languages Associated with Regular Expressions<br/>3.2. Connection Between Regular Expressions and Regular Languages<br/>Regular Expressions Denote Regular Languages<br/>Regular Expressions for Regular Languages<br/>Regular Expressions for Describing Simple Patterns<br/>3.3. Regular Grammars<br/>Right- and Left-Linear Grammars<br/>Right-Linear Grammars Generate Regular Languages<br/>Right-Linear Grammars for Regular Languages<br/>Equivalence of Regular Languages and Regular Grammars<br/>4. Properties of Regular Languages<br/>4.1. Closure Properties of Regular Languages<br/>Closure under Simple Set Operations<br/>Closure under Other Operations<br/>4.2. Elementary Questions about Regular Languages<br/>4.3. Identifying Nonregular Languages<br/>Using the Pigeonhole Principle<br/>A Pumping Lemma<br/>5. Context-Free Languages<br/>5.1. Context-Free Grammars<br/>Examples of Context-Free Languages<br/>Leftmost and Rightmost Derivations<br/>Derivation Trees<br/>Relation between Sentential Forms and Derivation Trees<br/>5.2. Parsing and Ambiguity<br/>Parsing and Membership<br/>Ambiguity in Grammars and Languages<br/>5.3. Context-Free Grammars and Programming Languages<br/>6. Simplification of Context-Free Grammars and Normal Forms<br/>6.1. Methods for Transforming Grammars<br/>A Useful Substitution Rule<br/>Removing Useless Productions<br/>Removing [lambda]-Productions<br/>Removing Unit-Productions<br/>6.2. Two Important Normal Forms<br/>Chomsky Normal Form<br/>Greibach Normal Form<br/>6.3. A Membership Algorithm for Context-Free Grammars<br/>7. Pushdown Automata<br/>7.1. Nondeterministic Pushdown Automata<br/>Definition of a Pushdown Automaton<br/>The Language Accepted by a Pushdown Automaton<br/>7.2. Pushdown Automata and Context-Free Languages<br/>Pushdown Automata for Context-Free Languages<br/>Context-Free Grammars for Pushdown Automata<br/>7.3. Deterministic Pushdown Automata and Deterministic Context-Free Languages<br/>7.4. Grammars for Deterministic Context-Free Languages<br/>8. Properties of Context-Free Languages<br/>8.1. Two Pumping Lemmas<br/>A Pumping Lemma for Context-Free Languages<br/>A Pumping Lemma for Linear Languages<br/>8.2. Closure Properties and Decision Algorithms for Context-Free Languages<br/>Closure of Context-Free Languages<br/>Some Decidable Properties of Context-Free Languages<br/>9. Turing Machines<br/>9.1. The Standard Turing Machine<br/>Definition of a Turing Machine<br/>Turing Machines as Language Accepters<br/>Turing Machines as Transducers<br/>9.2. Combining Turing Machines for Complicated Tasks<br/>9.3. Turing's Thesis<br/>10. Other Models of Turing Machines<br/>10.1. Minor Variations on the Turing Machine Theme<br/>Equivalence of Classes of Automata<br/>Turing Machines with a Stay-Option<br/>Turing Machines with Semi-Infinite Tape<br/>The Off-Line Turing Machine<br/>10.2. Turing Machines with More Complex Storage<br/>Multitape Turing Machines<br/>Multidimensional Turing Machines<br/>10.3. Nondeterministic Turing Machines<br/>10.4. A Universal Turing Machine<br/>10.5. Linear Bounded Automata<br/>11. A Hierarchy of Formal Languages and Automata<br/>11.1. Recursive and Recursively Enumerable Languages<br/>Languages That Are Not Recursively Enumerable<br/>A Language That Is Not Recursively Enumerable<br/>A Language That Is Recursively Enumerable but Not Recursive<br/>11.2. Unrestricted Grammars<br/>11.3. Context-Sensitive Grammars and Languages<br/>Context-Sensitive Languages and Linear Bounded Automata<br/>Relation Between Recursive and Context-Sensitive Languages<br/>11.4. The Chomsky Hierarchy<br/>12. Limits of Algorithmic Computation<br/>12.1. Some Problems That Cannot Be Solved by Turing Machines<br/>Computability and Decidability<br/>The Turing Machine Halting Problem<br/>Reducing One Undecidable Problem to Another<br/>12.2. Undecidable Problems for Recursively Enumerable Languages<br/>12.3. The Post Correspondence Problem<br/>12.4. Undecidable Problems for Context-Free Languages<br/>12.5. A Question of Efficiency<br/>13. Other Models of Computation<br/>13.1. Recursive Functions<br/>Primitive Recursive Functions<br/>Ackermann's Function<br/>[micro] Recursive Functions<br/>13.2. Post Systems<br/>13.3. Rewriting Systems<br/>Matrix Grammars<br/>Markov Algorithms<br/>L-Systems<br/>14. An Overview of Computational Complexity<br/>14.1. Efficiency of Computation<br/>14.2. Turing Machine Models and Complexity<br/>14.3. Language Families and Complexity Classes<br/>14.4. The Complexity Classes P and NP<br/>14.5. Some NP Problems<br/>14.6. Polynomial-Time Reduction<br/>14.7. NP-Completeness and an Open Question<br/>Answers<br/>References<br/>Index
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    Dewey Decimal Classification     Non-fiction Tetso College Library Tetso College Library Computer Science 20/01/2021 495.00 005.131 LIN 10495 20/01/2021 20/01/2021 Books

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