Introduction to the Theory of Computation, Third Edition

Michael Sipser

ISBN 10: 113318779X / ISBN 13: 9781133187790

Published by Cengage Learning, Boston, MA, USA, 2013

About this Item

This hardcover edition is in good condition, with the dust jacket showing minor wear and some edge scuffs. The binding is intact, and the pages are clean and unmarked. Overall, it is well-preserved for a book of its kind. minor wear with some edge scuffs.

Seller Inventory # A19-B3-KU-DRJ-0017

Bibliographic Details

• Title: Introduction to the Theory of Computation, Third Edition
• Publisher: Cengage Learning, Boston, MA, USA
• Publication Date: 2013
• Language: English
• ISBN 10: 113318779X
• ISBN 13: 9781133187790
• Binding: Hardcover
• Edition: Third Edition.
• Condition: Good
• Dust Jacket Condition: Dust Jacket Included

About this title

Synopsis

Gain a clear understanding of even the most complex, highly theoretical computational theory topics in the approachable presentation found only in the market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one choice for today's computational theory course, this revision continues the book's well-know, approachable style with timely revisions, additional practice, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR(k) grammars. You gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E's comprehensive coverage makes this a valuable reference for your continued studies in theoretical computing.

About the Author

Michael Sipser has taught theoretical computer science and mathematics at the Massachusetts Institute of Technology for the past 32 years. He is a Professor of Applied Mathematics, a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), and the current head of the mathematics department. He enjoys teaching and pondering the many mysteries of complexity theory.