Computational complexity : a quantitative perspective /

There has been a common perception that computational complexity is a theory of "bad news" because its most typical results assert that various real-world and innocent-looking tasks are infeasible. In fact, "bad news" is a relative term, and, indeed, in some situations (e.g., in...

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Bibliographic Details
Main Authors: Zimand, Marius
Corporate Authors: Elsevier Science & Technology
Published: Elsevier,
Publisher Address: Amsterdam ; Boston :
Publication Dates: 2004.
Literature type: eBook
Language: English
Edition: First edition.
Series: North-Holland mathematics studies, 196
Subjects:
Online Access: http://www.sciencedirect.com/science/bookseries/03040208/196
Summary: There has been a common perception that computational complexity is a theory of "bad news" because its most typical results assert that various real-world and innocent-looking tasks are infeasible. In fact, "bad news" is a relative term, and, indeed, in some situations (e.g., in cryptography), we want an adversary to not be able to perform a certain task. However, a "bad news" result does not automatically become useful in such a scenario. For this to happen, its hardness features have to be quantitatively evaluated and shown to manifest extensively. The book undertakes a quantitative analys
Carrier Form: 1 online resource (xii, 340 pages).
Bibliography: Includes bibliographical references (pages 321-332) and index.
ISBN: 1423709357
9781423709350
9780444828415
0444828419
008047666X
9780080476667
Index Number: QA267
CLC: O141
Contents: Contents -- Preface. -- 1. Preliminaries. -- 2. Abstract complexity theory. -- 3. P, NP, and E. -- 4. Quantum computation. -- 5. One-way functions, pseudo-random generators. -- 6. Optimization problems. -- A. Tail bounds. -- Bibliography. -- Index.