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Computing With Very Weak Random Sources  (Make Corrections)  (60 citations)
Aravind Srinivasan, David Zuckerman
IEEE Symposium on Foundations of Computer Science



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Abstract: . We give an efficient algorithm to extract randomness from a very weak random source using a small additional number t of truly random bits. Our work extends that of Nisan & Zuckerman in that t remains small even if the entropy rate is well below constant. A key application of this is in running randomized algorithms using such a very weak source of randomness. For any fixed fl ? 0, we show how to simulate RP algorithms in time n O(log n) using the output of a ffi-source with minentropy R fl . ... (Update)

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0.9:   Explicit OR-Dispersers with Polylogarithmic Degree - Saks, Srinivasan, Zhou (1998)   (Correct)
0.7:   Simulating BPP Using a General Weak Random Source - Zuckerman (1995)   (Correct)
0.6:   Reducing Randomness In Computation Via Explicit Constructions - Zhou (1996)   (Correct)

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41:   Simulating BPP Using a General Weak Random Source - Zuckerman - 1991
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BibTeX entry:   (Update)

A. Srinivasan and D. Zuckerman, "Computing with Very Weak Random Sources," FOCS 94, pp. 264275. http://citeseer.ist.psu.edu/447609.html   More

@inproceedings{ srinivasan94computing,
    author = "Aravind Srinivasan and David Zuckerman",
    title = "Computing with Very Weak Random Sources",
    booktitle = "{IEEE} Symposium on Foundations of Computer Science",
    pages = "264-275",
    year = "1994",
    url = "citeseer.ist.psu.edu/447609.html" }
Citations (may not include all citations):
199   A simple parallel algorithm for the maximal independent set .. (context) - Luby - 1986
167   Pseudo-Random Generation from One-Way Functions (context) - Impagliazzo, Levin et al. - 1989
138   Small--Bias Probability Spaces: Efficient Constructions and .. - Naor, Naor - 1993
128   Simple Constructions of Almost k-- wise Independent Random V.. - Alon, Goldreich et al. - 1992
122   How to Recycle Random Bits - Impagliazzo, Zuckerman - 1989
120   Unbiased Bits from Sources of Weak Randomness and Probabilis.. - Chor, Goldreich - 1988
102   A fast and simple randomized parallel algorithm for the maxi.. (context) - Alon, Babai et al. - 1986
98   A Random Polynomial Time Algorithm for Approximating the Vol.. - Dyer, Frieze et al. - 1991
86   Finite Fields (context) - Lidl, Niederreiter - 1983
84   Simulating BPP Using a General Weak Random Source - Zuckerman - 1996
81   The Bit Extraction Problem or t-Resilient Functions - Chor, Goldreich et al. - 1985
75   Randomness is Linear in Space - Nisan, Zuckerman - 1996
61   Expanders that Beat the Eigenvalue Bound: Explicit Construct.. - Wigderson, Zuckerman - 1993
59   The Influence of Variables on Boolean Functions (context) - Kahn, Kalai et al. - 1988
41   Generating Quasi-Random Sequences from Slightly Random Sourc.. (context) - Santha, Vazirani - 1986
40   Tiny Families of Functions with Random Properties: A Quality.. - Goldreich, Wigderson - 1997
35   On extracting randomness from weak random sources (context) - Ta-Shma - 1996
35   General Weak Random Sources (context) - Zuckerman - 1990
31   Extracting Randomness: How and Why (context) - Nisan - 1996
29   Independent Unbiased Coin Flips from a Correlated Biased Sou.. (context) - Blum - 1986
26   Strong Communication Complexity or Generating Quasi-Random S.. (context) - Vazirani - 1987
20   Efficiency Considerations in Using Semi-Random Sources (context) - Vazirani - 1987
19   On Unapproximable Versions of NP-Complete Problems - Zuckerman - 1996
19   Monte Carlo Simulations: Hidden Errors from (context) - Ferrenberg, Landau et al. - 1992
18   Collective Coin Flipping (context) - Ben-Or, Linial - 1989
18   Dispersers, Deterministic Amplification, and Weak Random Sou.. - Cohen, Wigderson - 1989
16   Randomness-Efficient Oblivious Sampling (context) - Bellare, Rompel - 1994
16   Explicit OR-Dispersers with Polylogarithmic Degree - Saks, Srinivasan et al. - 1998
12   Parallel Implementation of Algorithms for Finding Connected .. - Hsu, Ramachandran et al. - 1994
12   On Using Deterministic Functions in Probabilistic Algorithms (context) - Santha - 1987
12   Some Extremal Problems Arising from Discrete Control Process.. (context) - Lichtenstein, Linial et al. - 1989
9   Graph Augmentation and Related Problems: Theory and Practice - Hsu - 1993
9   Randomness, Adversaries and Computation (context) - Vazirani - 1986
6   Expanders, Randomness, or Time versus Space (context) - Sipser - 1988
4   Weak Random Sources, Hitting sets, and BPP Simulations - Andreev, Clementi et al. - 1997



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