Problem Solving in Automata, Languages, and Complexity

Problem Solving in Automata, Languages, and Complexity
Author: Ding-Zhu Du
Publisher: John Wiley & Sons
Total Pages: 405
Release: 2004-04-05
Genre: Computers
ISBN: 0471464082

Download Problem Solving in Automata, Languages, and Complexity Book in PDF, Epub and Kindle

Automata and natural language theory are topics lying at the heart of computer science. Both are linked to computational complexity and together, these disciplines help define the parameters of what constitutes a computer, the structure of programs, which problems are solvable by computers, and a range of other crucial aspects of the practice of computer science. In this important volume, two respected authors/editors in the field offer accessible, practice-oriented coverage of these issues with an emphasis on refining core problem solving skills.

Introduction to Automata Theory, Languages, and Computation

Introduction to Automata Theory, Languages, and Computation
Author: John E. Hopcroft
Publisher:
Total Pages: 488
Release: 2014
Genre: Computational complexity
ISBN: 9781292039053

Download Introduction to Automata Theory, Languages, and Computation Book in PDF, Epub and Kindle

This classic book on formal languages, automata theory, and computational complexity has been updated to present theoretical concepts in a concise and straightforward manner with the increase of hands-on, practical applications. This new edition comes with Gradiance, an online assessment tool developed for computer science. Please note, Gradiance is no longer available with this book, as we no longer support this product.

Automata, Computability and Complexity

Automata, Computability and Complexity
Author: Elaine Rich
Publisher: Prentice Hall
Total Pages: 1120
Release: 2008
Genre: Computers
ISBN: 0132288060

Download Automata, Computability and Complexity Book in PDF, Epub and Kindle

For upper level courses on Automata. Combining classic theory with unique applications, this crisp narrative is supported by abundant examples and clarifies key concepts by introducing important uses of techniques in real systems. Broad-ranging coverage allows instructors to easily customise course material to fit their unique requirements.

An Introduction to Formal Languages and Automata

An Introduction to Formal Languages and Automata
Author: Peter Linz
Publisher: Jones & Bartlett Publishers
Total Pages: 408
Release: 1997
Genre: Computers
ISBN:

Download An Introduction to Formal Languages and Automata Book in PDF, Epub and Kindle

An Introduction to Formal Languages & Automata provides an excellent presentation of the material that is essential to an introductory theory of computation course. The text was designed to familiarize students with the foundations & principles of computer science & to strengthen the students' ability to carry out formal & rigorous mathematical argument. Employing a problem-solving approach, the text provides students insight into the course material by stressing intuitive motivation & illustration of ideas through straightforward explanations & solid mathematical proofs. By emphasizing learning through problem solving, students learn the material primarily through problem-type illustrative examples that show the motivation behind the concepts, as well as their connection to the theorems & definitions.

A Concise Introduction to Languages and Machines

A Concise Introduction to Languages and Machines
Author: Alan P. Parkes
Publisher: Springer Science & Business Media
Total Pages: 348
Release: 2009-06-29
Genre: Computers
ISBN: 1848001215

Download A Concise Introduction to Languages and Machines Book in PDF, Epub and Kindle

A Concise Introduction to Languages, Machines and Logic provides an accessible introduction to three key topics within computer science: formal languages, abstract machines and formal logic. Written in an easy-to-read, informal style, this textbook assumes only a basic knowledge of programming on the part of the reader. The approach is deliberately non-mathematical, and features: - Clear explanations of formal notation and jargon, - Extensive use of examples to illustrate algorithms and proofs, - Pictorial representations of key concepts, - Chapter opening overviews providing an introduction and guidance to each topic, - End-of-chapter exercises and solutions, - Offers an intuitive approach to the topics. This reader-friendly textbook has been written with undergraduates in mind and will be suitable for use on course covering formal languages, formal logic, computability and automata theory. It will also make an excellent supplementary text for courses on algorithm complexity and compilers.

Computability, Complexity, and Languages

Computability, Complexity, and Languages
Author: Martin Davis
Publisher: Academic Press
Total Pages: 631
Release: 1994-02-03
Genre: Computers
ISBN: 0122063821

Download Computability, Complexity, and Languages Book in PDF, Epub and Kindle

This introductory text covers the key areas of computer science, including recursive function theory, formal languages, and automata. Additions to the second edition include: extended exercise sets, which vary in difficulty; expanded section on recursion theory; new chapters on program verification and logic programming; updated references and examples throughout.

The Nature of Computation

The Nature of Computation
Author: Cristopher Moore
Publisher: OUP Oxford
Total Pages: 1498
Release: 2011-08-11
Genre: Science
ISBN: 0191620807

Download The Nature of Computation Book in PDF, Epub and Kindle

Computational complexity is one of the most beautiful fields of modern mathematics, and it is increasingly relevant to other sciences ranging from physics to biology. But this beauty is often buried underneath layers of unnecessary formalism, and exciting recent results like interactive proofs, phase transitions, and quantum computing are usually considered too advanced for the typical student. This book bridges these gaps by explaining the deep ideas of theoretical computer science in a clear and enjoyable fashion, making them accessible to non-computer scientists and to computer scientists who finally want to appreciate their field from a new point of view. The authors start with a lucid and playful explanation of the P vs. NP problem, explaining why it is so fundamental, and so hard to resolve. They then lead the reader through the complexity of mazes and games; optimization in theory and practice; randomized algorithms, interactive proofs, and pseudorandomness; Markov chains and phase transitions; and the outer reaches of quantum computing. At every turn, they use a minimum of formalism, providing explanations that are both deep and accessible. The book is intended for graduate and undergraduate students, scientists from other areas who have long wanted to understand this subject, and experts who want to fall in love with this field all over again.

Introduction to Automata Theory, Formal Languages and Computation

Introduction to Automata Theory, Formal Languages and Computation
Author: Shyamalendu Kandar
Publisher: Pearson Education India
Total Pages: 657
Release: 2013
Genre: Formal languages
ISBN: 9332516324

Download Introduction to Automata Theory, Formal Languages and Computation Book in PDF, Epub and Kindle

Formal languages and automata theory is the study of abstract machines and how these can be used for solving problems. The book has a simple and exhaustive approach to topics like automata theory, formal languages and theory of computation. These descriptions are followed by numerous relevant examples related to the topic. A brief introductory chapter on compilers explaining its relation to theory of computation is also given.

Theory of Computational Complexity

Theory of Computational Complexity
Author: Ding-Zhu Du
Publisher: John Wiley & Sons
Total Pages: 511
Release: 2011-10-24
Genre: Mathematics
ISBN: 1118031164

Download Theory of Computational Complexity Book in PDF, Epub and Kindle

A complete treatment of fundamentals and recent advances in complexity theory Complexity theory studies the inherent difficulties of solving algorithmic problems by digital computers. This comprehensive work discusses the major topics in complexity theory, including fundamental topics as well as recent breakthroughs not previously available in book form. Theory of Computational Complexity offers a thorough presentation of the fundamentals of complexity theory, including NP-completeness theory, the polynomial-time hierarchy, relativization, and the application to cryptography. It also examines the theory of nonuniform computational complexity, including the computational models of decision trees and Boolean circuits, and the notion of polynomial-time isomorphism. The theory of probabilistic complexity, which studies complexity issues related to randomized computation as well as interactive proof systems and probabilistically checkable proofs, is also covered. Extraordinary in both its breadth and depth, this volume: * Provides complete proofs of recent breakthroughs in complexity theory * Presents results in well-defined form with complete proofs and numerous exercises * Includes scores of graphs and figures to clarify difficult material An invaluable resource for researchers as well as an important guide for graduate and advanced undergraduate students, Theory of Computational Complexity is destined to become the standard reference in the field.

Theory of Computer Science

Theory of Computer Science
Author: K. L. P. Mishra
Publisher: PHI Learning Pvt. Ltd.
Total Pages: 437
Release: 2006-01-01
Genre: Computers
ISBN: 8120329686

Download Theory of Computer Science Book in PDF, Epub and Kindle

This Third Edition, in response to the enthusiastic reception given by academia and students to the previous edition, offers a cohesive presentation of all aspects of theoretical computer science, namely automata, formal languages, computability, and complexity. Besides, it includes coverage of mathematical preliminaries. NEW TO THIS EDITION • Expanded sections on pigeonhole principle and the principle of induction (both in Chapter 2) • A rigorous proof of Kleene’s theorem (Chapter 5) • Major changes in the chapter on Turing machines (TMs) – A new section on high-level description of TMs – Techniques for the construction of TMs – Multitape TM and nondeterministic TM • A new chapter (Chapter 10) on decidability and recursively enumerable languages • A new chapter (Chapter 12) on complexity theory and NP-complete problems • A section on quantum computation in Chapter 12. • KEY FEATURES • Objective-type questions in each chapter—with answers provided at the end of the book. • Eighty-three additional solved examples—added as Supplementary Examples in each chapter. • Detailed solutions at the end of the book to chapter-end exercises. The book is designed to meet the needs of the undergraduate and postgraduate students of computer science and engineering as well as those of the students offering courses in computer applications.