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Computational Complexity
A Conceptual Perspective
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Complexity theory is a central field of the theoretical foundations of computer science. It is concerned with the general study of the intrinsic complexity of computational tasks; that is, it addresses the question of what can be achieved within limited time (and/or with other limited natural computational resources). This book offers a conceptual perspective on complexity theory. It is intended to serve as an introduction for advanced undergraduate and graduate students, either as a textbook or for self-study. The book will also be useful to experts, since it provides expositions of the various sub-areas of complexity theory such as hardness amplification, pseudorandomness and probabilistic proof systems. In each case, the author starts by posing the intuitive questions that are addressed by the sub-area and then discusses the choices made in the actual formulation of these questions, the approaches that lead to the answers, and the ideas that are embedded in these answers.
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Cambridge University Press; April 2008
632 pages; ISBN 9780511402685
Read online, or download in secure PDF format
632 pages; ISBN 9780511402685
Read online, or download in secure PDF format
Subject categories
- Academic > Mathematics > Algebra > Machine theory
- Academic > Mathematics > Algebra > Computational complexity
- Academic > Mathematics > General > Mathematics; History; 20th century
- Computers > Programming > Algorithms
- Mathematics > Logic
- Computers > Data Modeling & Design
- Computers > Mathematical & Statistical Software
ISBNs
0511402686
9780511402685
9780521884730