FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World


 Title: Theory of Computation, Making Connections
 Authors Jim Hefferon
 Publisher: Saint Michael's College; eBook (Creative Commons Licensed)
 License(s): CC BYSA 4.0
 Hardcover: N/A
 eBook: PDF (447 pages)
 Language: English
 ISBN10: N/A
 ISBN13: N/A
 Share This:
Book Description
The book as a whole acquaints the reader with automata theory fundamentals. The book provides theoretical coverage of the essential principles, solve instances, and solve multiplechoice problems with solutions. The theory and computation of automata presented in this book will greatly assist students and professors alike.
 Algorithmic ideas are made simple to understand through the use of examples.
 Contains a wide range of examples and solutions to help students better grasp the concepts.
 Designed to assist and coach students in applying the fundamentals of computation theory in realworld situations.
 Jim Hefferon is a Professor of Mathematics at Saint Michaels's College.
 Theory of Computation
 Computational Complexity
 Mathematical Logic  Set Theory, Model Theory, Computability, etc
 Introduction to Computer Science
 Theory of Computation, Making Connections (Jim Hefferon)
 The Mirror Site (1)  PDF
 Book Homepage (Slides, License, Source, etc.)

Models of Computation: Exploring the Power of Computing
It covers the traditional topics of formal languages, automata and complexity classes, as well as an introduction to the more modern topics of spacetime tradeoffs, memory hierarchies, parallel computation, the VLSI model, and circuit complexity.

Automata Theory: An Algorithmic Approach (Javier Esparza, et al)
This textbook presents Automata Theory from a fresh viewpoint inspired by its main modern application, program verification, where automata are viewed as data structures for the algorithmic manipulation of sets and relations.

A DataCentric Introduction to Computing (Kathi Fisler, et al)
This book is an introduction to computer science. It will teach you to program, and do so in ways that are of practical value and importance. It uses a datacentric approach: data centric = data science + data structures.

Introduction to Classical and Quantum Computing (Tom Wong)
This book is for students who want to learn quantum computing beyond a conceptual level, but who lack advanced training in mathematics. The only prerequisite is trigonometry, and mathematics beyond that will be covered.

Introduction to Computing: Language, Logic, and Machines
This book focuses on how to describe information processes by defining procedures, how to analyze the costs required to carry out a procedure, and the fundamental limits of what can and cannot be computed mechanically.

Soft Computing: Techniques in Engineering Sciences
Soft Computing is used where a complex problem is not adequately specified for the use of conventional math and computer techniques. This book elaborates on the most recent applications of Soft Computing in various fields of engineering.

Quantum Computing: Progress and Prospects
Provides an introduction to the Quantum Computing, including the unique characteristics and constraints of the technology, and assesses the feasibility and implications of creating a functional quantum computer capable of addressing realworld problems.

Foundations of Computation (Carol Critchlow, et al)
It includes topics from discrete mathematics, automata theory, formal language theory, and the theory of computation, along with practical applications to computer science. The course has no prerequisites other than introductory computer programming.

Introduction to Theory of Computation (Anil Maheshwari, et al)
This is a textbook on formal languages, automata theory, and computational complexity. This text strikes a good balance between rigor and an intuitive approach to computer theory.
:






















