Theory of Computational Complexity / Edition 2

"... complete, up-to-date coverage of computational complexity theory...the book promises to become the standard reference on computational complexity."— A thorough revision based on advances in the field of computational complexity and readers’ feedback, the of presents updates to the principles and applications essential to understanding modern computational complexity theory. The new edition continues to serve as a comprehensive resource on the use of software and computational approaches for solving algorithmic problems and the related difficulties that can be encountered. Maintaining extensive and detailed coverage, , examines the theory and methods behind complexity theory, such as computational models, decision tree complexity, circuit complexity, and probabilistic complexity. The also features recent developments on areas such as NP-completeness theory, as well as: , is an excellent textbook for courses on computational theory and complexity at the graduate level. The book is also a useful reference for practitioners in the fields of computer science, engineering, and mathematics who utilize state-of-the-art software and computational methods to conduct research.