| Edition |
1st ed. |
| Description |
1 online resource (xii, 340 pages) |
|
text txt rdacontent |
|
computer c rdamedia |
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online resource cr rdacarrier |
|
text file |
| Series |
North-Holland mathematics studies, 0304-0208 ; 196 |
|
North-Holland mathematics studies ; 196. 0304-0208
|
| Bibliography |
Includes bibliographical references (pages 321-332) and index. |
| Note |
Print version record. |
| 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. |
| 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 analysis of some of the major results in complexity that regard either classes of problems or individual concrete problems. The size of some important classes are studied using resource-bounded topological and measure-theoretical tools. In the case of individual problems, the book studies relevant quantitative attributes such as approximation properties or the number of hard inputs at each length. One chapter is dedicated to abstract complexity theory, an older field which, however, deserves attention because it lays out the foundations of complexity. The other chapters, on the other hand, focus on recent and important developments in complexity. The book presents in a fairly detailed manner concepts that have been at the centre of the main research lines in complexity in the last decade or so, such as: average-complexity, quantum computation, hardness amplification, resource-bounded measure, the relation between one-way functions and pseudo-random generators, the relation between hard predicates and pseudo-random generators, extractors, derandomization of bounded-error probabilistic algorithms, probabilistically checkable proofs, non-approximability of optimization problems, and others. The book should appeal to graduate computer science students, and to researchers who have an interest in computer science theory and need a good understanding of computational complexity, e.g., researchers in algorithms, AI, logic, and other disciplines. Emphasis is on relevant quantitative attributes of important results in complexity. Coverage is self-contained and accessible to a wide audience. Large range of important topics including: derandomization techniques, non-approximability of optimization problems, average-case complexity, quantum computation, one-way functions and pseudo-random generators, resource-bounded measure and topology |
| Subject |
Computational complexity.
|
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Complexité de calcul (Informatique)
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COMPUTERS -- Machine Theory.
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Computational complexity
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| Other Form: |
Print version: Zimand, Marius. Computational complexity. 1st ed. Amsterdam ; Boston : Elsevier, 2004 0444828419 (OCoLC)56057801 |
| ISBN |
1423709357 (electronic bk.) |
|
9781423709350 (electronic bk.) |
|
9780444828415 |
|
0444828419 |
|
008047666X (electronic bk.) |
|
9780080476667 (electronic bk.) |
| Standard No. |
AU@ 000048129837 |
|
AU@ 000050767366 |
|
AU@ 000055609490 |
|
CHNEW 001004799 |
|
DEBBG BV036962370 |
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DEBBG BV042317220 |
|
DEBSZ 276344383 |
|
DEBSZ 430395094 |
|
DEBSZ 482349972 |
|
DKDLA 820120-katalog:9910110553105765 |
|
NZ1 12435192 |
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NZ1 15192802 |
|
