Introduction to Automata Theory, Languages, And Computation

Hopcroft, John E.; Motwani, Rajeev; Ullman, Jeffrey D.

ISBN 10: 0321455363 / ISBN 13: 9780321455369

Published by Pearson, 2006

About this Item

Seller Inventory # 4196627-n

Bibliographic Details

• Title: Introduction to Automata Theory, Languages, And Computation
• Publisher: Pearson
• Publication Date: 2006
• Language: English
• ISBN 10: 0321455363
• ISBN 13: 9780321455369
• Binding: Hardcover
• Edition: 3rd Edition
• Condition: New

About this title

Synopsis

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.

Synopsis

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. Gradiance is the most advanced online assessment tool developed for the computer science discipline. With its innovative underlying technology, Gradiance turns basic homework assignments and programming labs into an interactive learning experience for students. By using a series of "root questions" and hints, it not only tests a student's capability, but actually simulates a one-on-one teacher-student tutorial that allows for the student to more easily learn the material. Through the programming labs, instructors are capable of testing, tracking, and honing their students' skills, both in terms of syntax and semantics, with an unprecedented level of assessment never before offered. For more information about Gradiance, please visit www.aw.com/gradiance.