Computational Complexity : A Conceptual Perspective

Oded Goldreich

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مشخصات کتاب

نویسنده: Oded Goldreich
ناشر: Cambridge University Press (Virtual Publishing)
سال انتشار: ۲۰۰۸
فرمت: PDF
زبان: انگلیسی
حجم فایل: ۳٫۵ مگابایت
شابک: 9780511398827، 9780511400773، 9780511574344، 9780511649929، 9780511804106، 9780521884730، 9781107186361، 9781282390317، 9786612390319، 0511398824، 0511400772، 0511574347، 0511649924، 0511804105، 052188473X، 1107186366، 1282390317، 661239031X

دربارهٔ کتاب

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.

This book offers a comprehensive perspective to modern topics in complexity theory, which is a central field of the theoretical foundations of computer science. It addresses the looming question of what can be achieved within a limited amount of time with or without other limited natural computational resources. Can be used as an introduction for advanced undergraduate and graduate students as either a textbook or for self-study, or to experts, since it provides expositions of the various sub-areas of complexity theory such as hardness amplification, pseudorandomness and probabilistic proof systems.

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