George Tourlakis

Theory of Computation

• Gebundenes Buch

Produktbeschreibung

With a focus on Unbound Register Machines (URMs), this book introduces new ideas and topics using real computer-related examples to help readers gain the skills and intuition that are key to successful programming. Chapters provide numerous programming examples including URMs, Loop Programs, FA (Deterministic Finite Automata) and NFA (Nondeterministic Finite Automata), and PDA (Pushdown Automata). This accessible and up-to-date text presents an introductory approach to "everyday computing" that is technology-independent and specifically omits specialized combinatorial topics for reader ease.

---

Learn the skills and acquire the intuition to assess the theoretical limitations of computer programming

Offering an accessible approach to the topic, Theory of Computation focuses on the metatheory of computing and the theoretical boundaries between what various computational models can do and not do--from the most general model, the URM (Unbounded Register Machines), to the finite automaton. A wealth of programming-like examples and easy-to-follow explanations build the general theory gradually, which guides readers through the modeling and mathematical analysis of computational phenomena and provides insights on what makes things tick and also what restrains the ability of computational processes.

Recognizing the importance of acquired practical experience, the book begins with the metatheory of general purpose computer programs, using URMs as a straightforward, technology-independent model of modern high-level programming languages while also exploring the restrictions of the URM language. Once readers gain an understanding of computability theory--including the primitive recursive functions--the author presents automata and languages, covering the regular and context-free languages as well as the machines that recognize these languages. Several advanced topics such as reducibilities, the recursion theorem, complexity theory, and Cook's theorem are also discussed. Features of the book include:
A review of basic discrete mathematics, covering logic and induction while omitting specialized combinatorial topics
A thorough development of the modeling and mathematical analysis of computational phenomena, providing a solid foundation of un-computability
The connection between un-computability and un-provability: Gödel's first incompleteness theorem

The book provides numerous examples of specific URMs as well as other programming languages including Loop Programs, FA (Deterministic Finite Automata), NFA (Nondeterministic Finite Automata), and PDA (Pushdown Automata). Exercises at the end of each chapter allow readers to test their comprehension of the presented material, and an extensive bibliography suggests resources for further study.

Assuming only a basic understanding of general computer programming and discrete mathematics, Theory of Computation serves as a valuable book for courses on theory of computation at the upper-undergraduate level. The book also serves as an excellent resource for programmers and computing professionals wishing to understand the theoretical limitations of their craft.

Produktdetails

• Verlag: Wiley & Sons
• Artikelnr. des Verlages: 1W118014780
• 1. Auflage
• Seitenzahl: 416
• Erscheinungstermin: 17. April 2012
• Englisch
• Abmessung: 240mm x 161mm x 26mm
• Gewicht: 674g
• ISBN-13: 9781118014783
• ISBN-10: 1118014782
• Artikelnr.: 34755027

Autorenporträt

George Tourlakis, PHD, is University Professor of Computer Science and Engineering at York University in Toronto, Canada. He has published extensively in his areas of research interest, which include calculational logic, modal logic, computability, and complexity theory. Dr. Tourlakis is the author of Mathematical Logic, also published by Wiley.

Inhaltsangabe

Preface xi 1. Mathematical Foundations 1 1.1 Sets and Logic; Naïvely 1 1.2
Relations and Functions 40 1.3 Big and Small Infinite Sets; Diagonalization
52 1.4 Induction from a User's Perspective 61 1.5 Why Induction Ticks 68
1.6 Inductively Defined Sets 1.7 Recursive Definitions of Functions 1.8
Additional Exercises 85 2. Algorithms, Computable Functions and
Computations 91 2.1 A Theory of Computability 91 2.2 A programming
Formalism for the Primitive Recursive Functions Function Class 147 2.3 URM
Computations and their Arithmetization 141 2.4 A double-recursion that
leads outside the Primitive Recursive Function Class 2.5 Semi-computable
Relations: Unsolvability 2.6 The Iteration Theorem of Kleene 172 2.7
Diagonalization Revisited; Unsolvability via Reductions 175 2.8 Productive
and Creative Sets 209 2.9 The Recursion Theorem 214 2. 10 Completeness 217
2.11 Unprovability from Unsolvability 221 2.12 Additional Exercises 234 3.
A Subset of the URM Language; FA and NFA 241 3.1 Deterministic Finite
Automata and their Languages 243 3.2 Nondeterministic Finite Automata 3.3
Regular Expressions 266 3.4 Regular Grammars and Languages 277 3.5
Additional Exercises 287 4. Adding a stack of a NFA: Pushdown Automata 4.1
The PDA 294 4.2 PDA Computations 294 4.3 The PDA-acceptable Languages are
the Context Free Languages 305 4.4 Non-Context Free Languages; Another
Pumping Lemma 312 4.5 Additional Exercise 322 5. Computational Complexity
325 5.1 Adding a second stack; Turning Machines 325 5.2 Axt, loop program,
and Grzegorczyk hierarchies 5.3 Additional Exercised