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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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Previews available in: English
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1
Computational Complexity: A Conceptual Perspective
2012, Cambridge University Press
in English
0511804105 9780511804106
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3
Computational complexity: a conceptual perspective
2008, Cambridge University Press
in English
052188473X 9780521884730
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4
Computational Complexity: A Conceptual Approach
May 31, 2008, Cambridge University Press
Hardcover
in English
- 1 edition
052188473X 9780521884730
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5
Computational Complexity: A Conceptual Perspective
2008, Cambridge University Press
in English
0511400772 9780511400773
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6
Computational complexity: a conceptual perspective
2008, Cambridge University Press
in English
052188473X 9780521884730
|
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7
Computational Complexity: A Conceptual Perspective
2008, Cambridge University Press
in English
0511398824 9780511398827
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8
Computational complexity: a conceptual perspective
2008, Cambridge University Press
in English
052188473X 9780521884730
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