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upload/wll/ENTER/Science/IT & AI/1 - More Books on IT/IT Science and Programming/Computer science/Computability/Goldreich O. Computational complexity.. A conceptual perspective (CUP, 2008)(ISBN 052188473X)(632s)_CsNp_.pdf
Computational Complexity : A Conceptual Perspective
Oded Goldreich
Cambridge University Press (Virtual Publishing), 1 edition, May 31, 2008
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.
Read more…
English [en] · PDF · 3.5MB · 2008 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib ·
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base score: 11065.0, final score: 167476.67
upload/misc/Y9EgLx762wKqWqG7nloH/Books/Gentoomen Library/Theory Of Computation/Oded_Goldreich-Computational_Complexity__A_Conceptual_Perspective(2008).pdf
Computational Complexity : A Conceptual Perspective
Oded Goldreich
Cambridge University Press (Virtual Publishing), 1 edition, May 31, 2008
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.
Read more…
English [en] · PDF · 5.0MB · 2008 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib ·
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base score: 11065.0, final score: 167462.47
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