| 000 | 03722nam a2200517 i 4500 | ||
|---|---|---|---|
| 001 | 6267312 | ||
| 003 | IEEE | ||
| 005 | 20220712204626.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151223s2003 mau ob 001 eng d | ||
| 010 | _z 91040779 (print) | ||
| 020 |
_a9780262256728 _qelectronic |
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| 020 |
_z0262140519 _qprint |
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| 020 |
_z9780262640527 _qprint |
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| 035 | _a(CaBNVSL)mat06267312 | ||
| 035 | _a(IDAMS)0b000064818b42c2 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aQA298 _b.N57 1991eb |
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| 082 | 0 | 0 |
_a519.4 _220 |
| 100 | 1 |
_aNisan, Noam, _eauthor. _922071 |
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| 245 | 1 | 0 |
_aUsing hard problems to create pseudorandom generators / _cNoam Nisan. |
| 264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc1992. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2003] |
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| 300 | _a1 PDF (vi, 43 pages). | ||
| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 | _aACM distinguished dissertations | |
| 502 | _aRevision of the author's thesis (Ph. D.)--University of California, Berkeley, 1988. | ||
| 504 | _aIncludes bibliographical references (p. [41]-43). | ||
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aRandomization is an important tool in the design of algorithms, and the ability of randomization to provide enhanced power is a major research topic in complexity theory. Noam Nisan continues the investigation into the power of randomization and the relationships between randomized and deterministic complexity classes by pursuing the idea of emulating randomness, or pseudorandom generation.Pseudorandom generators reduce the number of random bits required by randomized algorithms, enable the construction of certain cryptographic protocols, and shed light on the difficulty of simulating randomized algorithms by deterministic ones. The research described here deals with two methods of constructing pseudorandom generators from hard problems and demonstrates some surprising connections between pseudorandom generators and seemingly unrelated topics such as multiparty communication complexity and random oracles.Nisan first establishes a precise connection between computational complexity and pseudorandom number generation, revealing that efficient deterministic simulation of randomized algorithms is possible under much weaker assumptions than was previously known, and bringing to light new consequences concerning the power of random oracles. Using a remarkable argument based on multiparty communication complexity, Nisan then constructs a generator that is good against all tests computable in logarithmic space. A consequence of this result is a new construction of universal traversal sequences.Noam Nisan is Lecturer in the Department of Computer Science at Hebrew University in Jerusalem. He received his doctoral degree from the University of California, Berkeley.Contents: Introduction. Hardness vs. Randomness. Pseudorandom Generators for Logspace and Multiparty Protocols. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/23/2015. | ||
| 650 | 0 |
_aRandom number generators. _922072 |
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| 650 | 0 |
_aComputational complexity. _93729 |
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| 655 | 0 |
_aElectronic books. _93294 |
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| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _922073 |
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| 710 | 2 |
_aMIT Press, _epublisher. _922074 |
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| 776 | 0 | 8 |
_iPrint version _z9780262640527 |
| 830 | 0 |
_aACM distinguished dissertations _921754 |
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| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267312 |
| 942 | _cEBK | ||
| 999 |
_c72968 _d72968 |
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