Computational complexity a conceptual perspective

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 comput...

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1. Verfasser: Goldreich, Oded 1957- (VerfasserIn)
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Sprache:English
Veröffentlicht: Cambridge Cambridge University Press 2008
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Datensatz im Suchindex

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author Goldreich, Oded 1957-
author_GND (DE-588)120549255
author_facet Goldreich, Oded 1957-
author_role aut
author_sort Goldreich, Oded 1957-
author_variant o g og
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contents Introduction and preliminaries -- P, NP and NP-completeness -- Variations on P and NP -- More resources, more power -- Space complexity -- Randomness and counting -- The bright side of hardness -- Pseudorandom generators -- Probabilistic proof systems -- Relaxing the requirements -- Appendix A: Glossary of complexity classes -- Appendix B: On the quest for lower bounds -- Appendix C: On the foundations of modern cryptography -- Appendix D: Probabilistic preliminaries and advanced topics in randomization -- Appendix E: Explicit constructions -- Appendix F: Some omitted proofs -- Appendix G: Some computational problems
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dewey-full 511.3/52
dewey-hundreds 500 - Natural sciences and mathematics
dewey-ones 511 - General principles of mathematics
dewey-raw 511.3/52
dewey-search 511.3/52
dewey-sort 3511.3 252
dewey-tens 510 - Mathematics
discipline Informatik
Mathematik
doi_str_mv 10.1017/CBO9780511804106
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spelling Goldreich, Oded 1957- Verfasser (DE-588)120549255 aut
Computational complexity a conceptual perspective Oded Goldreich
Cambridge Cambridge University Press 2008
1 online resource (xxiv, 606 pages)
txt rdacontent
c rdamedia
cr rdacarrier
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Introduction and preliminaries -- P, NP and NP-completeness -- Variations on P and NP -- More resources, more power -- Space complexity -- Randomness and counting -- The bright side of hardness -- Pseudorandom generators -- Probabilistic proof systems -- Relaxing the requirements -- Appendix A: Glossary of complexity classes -- Appendix B: On the quest for lower bounds -- Appendix C: On the foundations of modern cryptography -- Appendix D: Probabilistic preliminaries and advanced topics in randomization -- Appendix E: Explicit constructions -- Appendix F: Some omitted proofs -- Appendix G: Some computational problems
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
Computational complexity
Turing machines
Berechnungskomplexität (DE-588)4134751-1 gnd rswk-swf
Turing-Maschine (DE-588)4203525-9 gnd rswk-swf
Turing-Maschine (DE-588)4203525-9 s
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Berechnungskomplexität (DE-588)4134751-1 s
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Erscheint auch als Druckausgabe 978-0-521-88473-0
https://doi.org/10.1017/CBO9780511804106 Verlag URL des Erstveröffentlichers Volltext
1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle Goldreich, Oded 1957-
Computational complexity a conceptual perspective
Introduction and preliminaries -- P, NP and NP-completeness -- Variations on P and NP -- More resources, more power -- Space complexity -- Randomness and counting -- The bright side of hardness -- Pseudorandom generators -- Probabilistic proof systems -- Relaxing the requirements -- Appendix A: Glossary of complexity classes -- Appendix B: On the quest for lower bounds -- Appendix C: On the foundations of modern cryptography -- Appendix D: Probabilistic preliminaries and advanced topics in randomization -- Appendix E: Explicit constructions -- Appendix F: Some omitted proofs -- Appendix G: Some computational problems
Computational complexity
Turing machines
Berechnungskomplexität (DE-588)4134751-1 gnd
Turing-Maschine (DE-588)4203525-9 gnd
subject_GND (DE-588)4134751-1
(DE-588)4203525-9
title Computational complexity a conceptual perspective
title_auth Computational complexity a conceptual perspective
title_exact_search Computational complexity a conceptual perspective
title_full Computational complexity a conceptual perspective Oded Goldreich
title_fullStr Computational complexity a conceptual perspective Oded Goldreich
title_full_unstemmed Computational complexity a conceptual perspective Oded Goldreich
title_short Computational complexity
title_sort computational complexity a conceptual perspective
title_sub a conceptual perspective
topic Computational complexity
Turing machines
Berechnungskomplexität (DE-588)4134751-1 gnd
Turing-Maschine (DE-588)4203525-9 gnd
topic_facet Computational complexity
Turing machines
Berechnungskomplexität
Turing-Maschine
url https://doi.org/10.1017/CBO9780511804106
work_keys_str_mv AT goldreichoded computationalcomplexityaconceptualperspective