- Publisher: Cambridge University Press
- Online publication date: June 2012
- Print publication year: 2009
- Online ISBN: 9780511804090
- DOI: https://doi.org/10.1017/CBO9780511804090
This beginning graduate textbook describes both recent achievements and classical results of computational complexity theory. Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including physicists, mathematicians, and other scientists, as well as a textbook for a variety of courses and seminars. More than 300 exercises are included with a selected hint set. The book starts with a broad introduction to the field and progresses to advanced results. Contents include: definition of Turing machines and basic time and space complexity classes, probabilistic algorithms, interactive proofs, cryptography, quantum computation, lower bounds for concrete computational models (decision trees, communication complexity, constant depth, algebraic and monotone circuits, proof complexity), average-case complexity and hardness amplification, derandomization and pseudorandom constructions, and the PCP theorem.
Richard M. Karp - University of California at Berkeley
Michael Sipser - author of Introduction to the Theory of Computation
Avi Wigderson - Professor, Institute for Advanced Study, Princeton
* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.
Usage data cannot currently be displayed.