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STOC
2000
ACM
112views Algorithms» more  STOC 2000»
14 years 1 months ago
A random graph model for massive graphs
We propose a random graph model which is a special case of sparse random graphs with given degree sequences. This model involves only a small number of parameters, called logsize ...
William Aiello, Fan R. K. Chung, Linyuan Lu
ACSAC
2003
IEEE
14 years 2 months ago
Practical Random Number Generation in Software
There is a large gap between the theory and practice for random number generation. For example, on most operating systems, using /dev/random to generate a 256-bit AES key is highl...
John Viega
FOCS
2003
IEEE
14 years 2 months ago
Learning DNF from Random Walks
We consider a model of learning Boolean functions from examples generated by a uniform random walk on {0, 1}n . We give a polynomial time algorithm for learning decision trees and...
Nader H. Bshouty, Elchanan Mossel, Ryan O'Donnell,...
SODA
2008
ACM
110views Algorithms» more  SODA 2008»
13 years 10 months ago
Why simple hash functions work: exploiting the entropy in a data stream
Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
Michael Mitzenmacher, Salil P. Vadhan
ECCC
2010
103views more  ECCC 2010»
13 years 8 months ago
Time-Space Efficient Simulations of Quantum Computations
We give two time- and space-efficient simulations of quantum computations with intermediate measurements, one by classical randomized computations with unbounded error and the oth...
Dieter van Melkebeek, Thomas Watson