Multiparty Selection
April 12, 2020 Β· Declared Dead Β· π International Symposium on Algorithms and Computation
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Authors
Ke Chen, Adrian Dumitrescu
arXiv ID
2004.05548
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.CC,
cs.DM
Citations
0
Venue
International Symposium on Algorithms and Computation
Last Checked
5 months ago
Abstract
Given a sequence $A$ of $n$ numbers and an integer (target) parameter $1\leq i\leq n$, the (exact) selection problem asks to find the $i$-th smallest element in $A$. An element is said to be $(i,j)$-mediocre if it is neither among the top $i$ nor among the bottom $j$ elements of $S$. The approximate selection problem asks to find a $(i,j)$-mediocre element for some given $i,j$; as such, this variant allows the algorithm to return any element in a prescribed range. In the first part, we revisit the selection problem in the two-party model introduced by Andrew Yao (1979) and then extend our study of exact selection to the multiparty model. In the second part, we deduce some communication complexity benefits that arise in approximate selection. In particular, we present a deterministic protocol for finding an approximate median among $k$ players.
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