An Introduction to Formal Languages and Automata 6th edition by Peter Linz 1284077241 9781284077247

An Introduction to Formal Languages and Automata 6th edition by Peter Linz – Ebook PDF Instant Download/Delivery: 1284077241, 9781284077247

Full download An Introduction to Formal Languages and Automata 6th edition after payment

Product details:

ISBN 10: 1284077241

ISBN 13: 9781284077247

Author: Peter Linz

The Sixth Edition of An Introduction to Formal Languages and Automata provides an accessible, student-friendly presentation of all material essential to an introductory Theory of Computation course. Written to address the fundamentals of formal languages, automata, and computability, the text is designed to familiarize students with the foundations and principles of computer science and to strengthen the students’ ability to carry out formal and rigorous mathematical arguments. The author, Peter Linz, continues to offer a straightforward, uncomplicated treatment of formal languages and automata and avoids excessive mathematical detail so that students may focus on and understand the underlying principles.

An Introduction to Formal Languages and Automata 6th Table of contents:

Chapter 1: Introduction to the Theory of Computation

1.1 Mathematical Preliminaries and Notation

Sets

Functions and Relations

Graphs and Trees

Proof Techniques

1.2 Three Basic Concepts

Languages

Grammars

Automata

1.3 Some Applications*

Chapter 2: Finite Automata

2.1 Deterministic Finite Accepters

Languages and Dfa’s

Regular Languages

2.2 Nondeterministic Finite Accepters

Definition of a Nondeterministic Accepter

Why Nondeterminism?

2.3 Equivalence of Deterministic and Nondeterministic Finite Accepters

2.4 Reduction of the Number of States in Finite Automata*

Chapter 3: Regular Languages and Regular Grammars

3.1 Regular Expressions

Formal Definition of a Regular Expression

Languages Associated with Regular Expressions

3.2 Connection Between Regular Expressions and Regular Languages

Regular Expressions Denote Regular Languages

Regular Expressions for Regular Languages

Regular Expressions for Describing Simple Patterns

3.3 Regular Grammars

Right- and Left-Linear Grammars

Right-Linear Grammars Generate Regular Languages

Right-Linear Grammars for Regular Languages

Equivalence of Regular Languages and Regular Grammars

Chapter 4: Properties of Regular Languages

4.1 Closure Properties of Regular Languages

Closure under Simple Set Operations

Closure under Other Operations

4.2 Elementary Questions about Regular Languages

4.3 Identifying Nonregular Languages

Using the Pigeonhole Principle

A Pumping Lemma

Chapter 5: Context-Free Languages

5.1 Context-Free Grammars

Examples of Context-Free Languages

Leftmost and Rightmost Derivations

Derivation Trees

Relation Between Sentential Forms and Derivation Trees

5.2 Parsing and Ambiguity

Parsing and Membership

Ambiguity in Grammars and Languages

5.3 Context-Free Grammars and Programming Languages

Chapter 6: Simplification of Context-Free Grammars and Normal Forms

6.1 Methods for Transforming Grammars

A Useful Substitution Rule

Removing Useless Productions

Removing λ-Productions

Removing Unit-Productions

6.2 Two Important Normal Forms

Chomsky Normal Form

Greibach Normal Form

6.3 A Membership Algorithm for Context-Free Grammars*

Chapter 7: Pushdown Automata

7.1 Nondeterministic Pushdown Automata

Definition of a Pushdown Automaton

The Language Accepted by a Pushdown Automaton

7.2 Pushdown Automata and Context-Free Languages

Pushdown Automata for Context-Free Languages

Context-Free Grammars for Pushdown Automata

7.3 Deterministic Pushdown Automata and Deterministic Context-Free Languages

7.4 Grammars for Deterministic Context-Free Languages*

Chapter 8: Properties of Context-Free Languages

8.1 Two Pumping Lemmas

A Pumping Lemma for Context-Free Languages

A Pumping Lemma for Linear Languages

8.2 Closure Properties and Decision Algorithms for Context-Free Languages

Closure of Context-Free Languages

Some Decidable Properties of Context-Free Languages

Chapter 9: Turing Machines

9.1 The Standard Turing Machine

Definition of a Turing Machine

Turing Machines as Language Accepters

Turing Machines as Transducers

9.2 Combining Turing Machines for Complicated Tasks

9.3 Turing’s Thesis

Chapter 10: Other Models of Turing Machines

10.1 Minor Variations on the Turing Machine Theme

Equivalence of Classes of Automata

Turing Machines with a Stay-Option

Turing Machines with Semi-Infinite Tape

The Off-Line Turing Machine

10.2 Turing Machines with More Complex Storage

Multitape Turing Machines

Multidimensional Turing Machines

10.3 Nondeterministic Turing Machines

10.4 A Universal Turing Machine

10.5 Linear Bounded Automata

Chapter 11: A Hierarchy of Formal Languages and Automata

11.1 Recursive and Recursively Enumerable Languages

Languages That Are Not Recursively Enumerable

A Language That Is Not Recursively Enumerable

A Language That Is Recursively Enumerable but Not Recursive

11.2 Unrestricted Grammars

11.3 Context-Sensitive Grammars and Languages

Context-Sensitive Languages and Linear Bounded Automata

Relation Between Recursive and Context-Sensitive Languages

11.4 The Chomsky Hierarchy

Chapter 12: Limits of Algorithmic Computation

12.1 Some Problems That Cannot Be Solved by Turing Machines

Computability and Decidability

The Turing Machine Halting Problem

Reducing One Undecidable Problem to Another

12.2 Undecidable Problems for Recursively Enumerable Languages

12.3 The Post Correspondence Problem

12.4 Undecidable Problems for Context-Free Languages

12.5 A Question of Efficiency

Chapter 13: Other Models of Computation

13.1 Recursive Functions

Primitive Recursive Functions

Ackermann’s Function

μ Recursive Functions

13.2 Post Systems

13.3 Rewriting Systems

Matrix Grammars

Markov Algorithms

L-Systems

Chapter 14: An Overview of Computational Complexity

14.1 Efficiency of Computation

14.2 Turing Machine Models and Complexity

14.3 Language Families and Complexity Classes

14.4 The Complexity Classes P and NP

14.5 Some NP Problems

14.6 Polynomial-Time Reduction

14.7 NP-Completeness and an Open Question

Appendix A: Finite-State Transducers

A.1 A General Framework

A.2 Mealy Machines

A.3 Moore Machines

A.4 Moore and Mealy Machine Equivalence

A.5 Mealy Machine Minimization

A.6 Moore Machine Minimization

A.7 Limitations of Finite-State Transducers

People also search for An Introduction to Formal Languages and Automata 6th:

an introduction to formal languages and automata 7th edition

an introduction to formal languages and automata

 an introduction to formal languages and automata solutions

introduction to formal languages and automata theory

Tags:

Peter Linz,Introduction,Formal,Languages