A probabilistic analysis of a leader election algorithm

dc.creatorMohamed, Hanene
dc.date2007-02-09
dc.date.accessioned2026-07-07T07:45:57Z
dc.date.available2026-07-07T07:45:57Z
dc.descriptionA {\em leader election} algorithm is an elimination process that divides recursively into tow subgroups an initial group of n items, eliminates one subgroup and continues the procedure until a subgroup is of size 1. In this paper the biased case is analyzed. We are interested in the {\em cost} of the algorithm, i.e. the number of operations needed until the algorithm stops. Using a probabilistic approach, the asymptotic behavior of the algorithm is shown to be related to the behavior of a hitting time of two random sequences on [0,1].
dc.identifierhttps://arxiv.org/abs/cs/0702056
dc.identifierhttp://arxiv.org/abs/cs/0702056
dc.identifierFourth Colloquium on Mathematics and Computer Science Algorithms, Trees, Combinatorics and Probabilities (2006) 225-236
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/123674
dc.subjectData Structures and Algorithms
dc.titleA probabilistic analysis of a leader election algorithm
dc.typetext

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