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» Proving Time Bounds for Randomized Distributed Algorithms
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QUESTA
2007
117views more  QUESTA 2007»
13 years 6 months ago
Estimating tail probabilities of heavy tailed distributions with asymptotically zero relative error
Efficient estimation of tail probabilities involving heavy tailed random variables is amongst the most challenging problems in Monte-Carlo simulation. In the last few years, appli...
Sandeep Juneja
INFOCOM
2005
IEEE
14 years 1 months ago
Time and energy complexity of distributed computation in wireless sensor networks
— We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing...
Nilesh Khude, Anurag Kumar, Aditya Karnik
WDAG
2010
Springer
233views Algorithms» more  WDAG 2010»
13 years 5 months ago
Minimum Dominating Set Approximation in Graphs of Bounded Arboricity
Abstract. Since in general it is NP-hard to solve the minimum dominating set problem even approximatively, a lot of work has been dedicated to central and distributed approximation...
Christoph Lenzen, Roger Wattenhofer
STOC
1999
ACM
85views Algorithms» more  STOC 1999»
13 years 11 months ago
A Theorem on Sensitivity and Applications in Private Computation
In this paper we prove a theorem that gives an (almost) tight upper bound on the sensitivity of a multiple-output Boolean function in terms of the sensitivity of its coordinates an...
Anna Gál, Adi Rosén
VOSS
2004
Springer
135views Mathematics» more  VOSS 2004»
14 years 22 days ago
Analysing Randomized Distributed Algorithms
Abstract. Randomization is of paramount importance in practical applications and randomized algorithms are used widely, for example in co-ordinating distributed computer networks, ...
Gethin Norman