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» Randomness vs. Time: De-Randomization under a Uniform Assump...
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STOC
2007
ACM
111views Algorithms» more  STOC 2007»
14 years 5 months ago
Low-end uniform hardness vs. randomness tradeoffs for AM
In 1998, Impagliazzo and Wigderson [IW98] proved a hardness vs. randomness tradeoff for BPP in the uniform setting, which was subsequently extended to give optimal tradeoffs for t...
Ronen Shaltiel, Christopher Umans
STOC
2003
ACM
178views Algorithms» more  STOC 2003»
14 years 5 months ago
Uniform hashing in constant time and linear space
Many algorithms and data structures employing hashing have been analyzed under the uniform hashing assumption, i.e., the assumption that hash functions behave like truly random fu...
Anna Östlin, Rasmus Pagh
DAM
2006
79views more  DAM 2006»
13 years 4 months ago
A simple expected running time analysis for randomized "divide and conquer" algorithms
There are many randomized "divide and conquer" algorithms, such as randomized Quicksort, whose operation involves partitioning a problem of size n uniformly at random int...
Brian C. Dean
FOCS
2000
IEEE
13 years 9 months ago
Extracting Randomness from Samplable Distributions
Randomness extractors convert weak sources of randomness into an almost uniform distribution; the conversion uses a small amount of pure randomness. In algorithmic applications, t...
Luca Trevisan, Salil P. Vadhan