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» On Derandomizing Probabilistic Sublinear-Time Algorithms
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COCO
2007
Springer
126views Algorithms» more  COCO 2007»
13 years 10 months ago
On Derandomizing Probabilistic Sublinear-Time Algorithms
There exists a positive constant α < 1 such that for any function T(n) ≤ nα and for any problem L ∈ BPTIME(T(n)), there exists a deterministic algorithm running in poly(T...
Marius Zimand
CC
2008
Springer
131views System Software» more  CC 2008»
13 years 4 months ago
Exposure-Resilient Extractors and the Derandomization of Probabilistic Sublinear Time
There exists a positive constant < 1 such that for any function T(n) n and for any problem L BPTIME(T(n)), there exists a deterministic algorithm running in poly(T(n)) time w...
Marius Zimand
ICALP
2001
Springer
13 years 9 months ago
Approximating the Minimum Spanning Tree Weight in Sublinear Time
We present a probabilistic algorithm that, given a connected graph G (represented by adjacency lists) of average degree d, with edge weights in the set {1, . . . , w}, and given a ...
Bernard Chazelle, Ronitt Rubinfeld, Luca Trevisan
APPROX
2010
Springer
120views Algorithms» more  APPROX 2010»
13 years 6 months ago
Uniform Derandomization from Pathetic Lower Bounds
A recurring theme in the literature on derandomization is that probabilistic algorithms can be simulated quickly by deterministic algorithms, if one can obtain impressive (i.e., s...
Eric Allender, Vikraman Arvind, Fengming Wang