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Theory of Computation 2006 Edition
Contributor(s): Kozen, Dexter C. (Author)
ISBN: 1846282977     ISBN-13: 9781846282973
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Hardcover - Other Formats
Published: May 2006
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Annotation: This textbook has been written with the dual purpose to cover core material in the foundations of computing for graduate students in computer science, as well as to provide an introduction to some more advanced topics for those intending further study in the area.

This book contains an invaluable collection of lectures for first-year graduates on the theory of computation, focusing primarily on computational complexity theory. Topics and features include:

  • Organization into self-contained lectures of 3-7 pages;
  • 41 primary lectures and a handful of supplementary lectures covering more specialized or advanced topics;
  • 12 homework sets and several miscellaneous homework exercises of varying levels of difficulty, many with hints and complete solutions.

Aimed at advanced undergraduates and first-year graduates in Computer Science or Mathematics with an interest in the theory of computation and computational complexity, this book provides a thorough grounding the foundations of computational complexity theory.
Additional Information
BISAC Categories:
- Computers | Computer Science
- Mathematics | Number Systems
- Mathematics | Applied
Dewey: 511.352
LCCN: 2005937504
Series: Texts in Computer Science
Physical Information: 1.02" H x 7.3" W x 9.32" (1.93 lbs) 418 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

This textbook is uniquely written with dual purpose. It cover cores material in the foundations of computing for graduate students in computer science and also provides an introduction to some more advanced topics for those intending further study in the area. This innovative text focuses primarily on computational complexity theory: the classification of computational problems in terms of their inherent complexity. The book contains an invaluable collection of lectures for first-year graduates on the theory of computation. Topics and features include more than 40 lectures for first year graduate students, and a dozen homework sets and exercises.