Metric 1-median selection with fewer queries

December 27, 2016 Β· Declared Dead Β· πŸ› International Conference on Applied System Innovation

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Authors Ching-Lueh Chang arXiv ID 1612.08654 Category cs.DS: Data Structures & Algorithms Citations 6 Venue International Conference on Applied System Innovation Last Checked 4 months ago
Abstract
Let $h\colon\mathbb{Z}^+\to\mathbb{Z}^+\setminus\{1\}$ be any function such that $h(n)$ and $\lceil n^{1/h(n)}\rceil$ are computable from $n$ in $O(h(n)\cdot n^{1+1/h(n)})$ time. We show that given any $n$-point metric space $(M,d)$, the problem of finding $\mathop{\mathrm{argmin}}_{i\in M}\,\sum_{j\in M}\,d(i,j)$ (breaking ties arbitrarily) has a deterministic, $O(h(n)\cdot n^{1+1/h(n)})$-time, $O(n^{1+1/h(n)})$-query, $(2\,h(n))$-approximation and nonadaptive algorithm. Our proofs modify those of Chang~\cite{Cha15, Cha15CMCT} with the following improvements: (1) We improve Chang's~\cite{Cha15} query complexity of $O(h(n)\cdot n^{1+1/h(n)})$ to $O(n^{1+1/h(n)})$, everything else being equal. (2) Chang's~\cite{Cha15CMCT} unpublished work establishes our result only when $n$ is a perfect $(h(n))$th power.
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