Foundations of Computing
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Foundations of Computing

An Accessible Introduction to Formal Languages

About the Book

A textbook for upper-division Computer Science majors covering formal languages and automata with an introduction to computability. Intended to give CS majors a solid foundation in the Theory of Computation without being overly formal mathematically, while retaining the rigor of the material. It has been classroom tested since 2016 with good success.

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About the Author

Chuck Allison
Charles D. Allison

Professor Allison has degrees in mathematics and twenty years experience as a professional software engineer. He has been at UVU since 2001, specializing in programming languages, software design, mathematical foundations of computing, scientific computing, C++, and Python. He has over 100 publications, including two C++ books, and a textbook on the Theory of Computation.

Table of Contents

    • Foreword
    • Preface
    • 1.Introduction
      • 1.1Formal Languages
      • 1.2Finite State Machines
        • 1.2.1Exercises
        • 1.2.2Chapter Summary
    IRegular Languages
    • 2.Finite Automata
        • 2.0.1Where Are We?
        • 2.0.2Chapter Objectives
      • 2.1Deterministic Finite Automata
        • 2.1.1Exercises
      • 2.2Non-Deterministic Finite Automata
        • 2.2.1Equivalence of NFAs and DFAs
        • 2.2.2NFAs and Complements
        • 2.2.3Exercises
      • 2.3Minimal Automata
        • 2.3.1Exercises
      • 2.4Machines with Output
        • 2.4.1Computer Arithmetic
        • 2.4.2Lexical Analysis
        • 2.4.3Minimal Mealy Machines
        • 2.4.4Exercises
        • 2.4.5Chapter Summary
    • 3.Regular Expressions and Grammars
        • 3.0.1Where Are We?
        • 3.0.2Chapter Objectives
      • 3.1Regular Expressions
        • 3.1.1Exercises
      • 3.2Equivalence of Regular Expressions and Regular Languages
        • 3.2.1From Regular Expression to NFA
        • 3.2.2From NFA to Regular Expression
        • 3.2.3Exercises
      • 3.3Regular Grammars
        • 3.3.1Left-Linear Grammars
        • 3.3.2Exercises
        • 3.3.3Chapter Summary
    • 4.Properties of Regular Languages
        • 4.0.1Where Are We?
        • 4.0.2Chapter Objectives
      • 4.1Closure Properties
        • 4.1.1Computing Set Operations
        • 4.1.2Exercises
      • 4.2Decision Algorithms
        • 4.2.1Exercises
      • 4.3Infinite Regular Languages and a “Pumping Theorem”
        • 4.3.1Exercises
        • 4.3.2Chapter Summary
    IIContext-Free Languages
    • 5.Pushdown Automata
        • 5.0.1Where Are We?
        • 5.0.2Chapter Objectives
      • 5.1Adding a Stack to Finite Automata
        • 5.1.1Exercises
      • 5.2Pushdown Automata and Determinism
        • 5.2.1Exercise
        • 5.2.2Chapter Summary
    • 6.Context-Free Grammars
        • 6.0.1Where Are We?
        • 6.0.2Chapter Objectives
      • 6.1Context-Free Grammars and Derivations
        • 6.1.1Simplifying Grammars
        • 6.1.2Exercises
      • 6.2Derivation Trees and Ambiguous Grammars
        • 6.2.1Operator Precedence
        • 6.2.2Operator Associativity
        • 6.2.3Expression Trees
        • 6.2.4Exercises
      • 6.3Equivalence of PDAs and CFGs
        • 6.3.1From CFG to PDA
        • 6.3.2From PDA to CFG (Special Case)
        • 6.3.3From PDA to CFG (General Case)
        • 6.3.4Exercises
        • 6.3.5Chapter Summary
    • 7.Properties of Context-Free Languages
        • 7.0.1Where Are We?
        • 7.0.2Chapter Objectives
      • 7.1Chomsky Normal Form
        • 7.1.1Removing Lambda
        • 7.1.2Removing Unit Productions
        • 7.1.3Chomsky Normal Form Rules
        • 7.1.4Exercises
      • 7.2Closure Properties
        • 7.2.1Closure Properties of DCFLs
        • 7.2.2Exercises
      • 7.3Decision Algorithms
        • 7.3.1Is a CFL Empty or Infinite?
        • 7.3.2Exercises
      • 7.4Infinite CFLs and Another Pumping Theorem
        • 7.4.1Exercises
        • 7.4.2Chapter Summary
    IIIRecursively Enumerable Languages
    • 8.Turing Machines
        • 8.0.1Where Are We?
        • 8.0.2Chapter Objectives
      • 8.1Prelude
        • 8.1.1Queue Machines
        • 8.1.2Exercise
      • 8.2The Standard Turing Machine
        • 8.2.1Subroutines
        • 8.2.2Halting
        • 8.2.3Exercises
        • 8.2.4Programming Exercise
      • 8.3Variations on Turing Machines
        • 8.3.1The Universal Turing Machine
        • 8.3.2Non-Deterministic TM = Deterministic TM
        • 8.3.3Programming Exercise
        • 8.3.4Chapter Summary
    • 9.The Landscape of Formal Languages
        • 9.0.1Where Are We?
        • 9.0.2Chapter Objectives
      • 9.1Recursively Enumerable Languages
        • 9.1.1A Non-Recursive, RE Language
        • 9.1.2Context-Sensitive Languages
        • 9.1.3Properties of Recursively Enumerable Languages
        • 9.1.4Exercises
      • 9.2Unrestricted Grammars
        • 9.2.1Context-Sensitive Grammars
        • 9.2.2Equivalence of Unrestricted Grammars and Turing Machines
        • 9.2.3Exercises
      • 9.3The Chomsky Hierarchy
        • 9.3.1Countable Sets
        • 9.3.2Uncountable Sets
        • 9.3.3Chapter Summary
    • 10.Computability
        • 10.0.1Chapter Objectives
      • 10.1The Halting Problem
      • 10.2Reductions and Undecidability
        • 10.2.1Exercises
        • 10.2.2Chapter Summary
    • Glossary
    • Bibliography

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