(Enter summary)
Abstract: In this paper we give approximation algorithms for the following problems on metric spaces:
Furthest Pair, k-median, Minimum Routing Cost Spanning Tree, Multiple Sequence Alignment,
Maximum Traveling Salesman Problem, Maximum Spanning Tree and Average Distance. The
key property of our algorithms is that their running times is linear in the number of points. As
the full specification of an n-point metric space is of size \Theta(n
2
), the complexity of our algorithms
is sublinear with respect... (Update)
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BibTeX entry: (Update)
P. Indyk, "Sublinear time algorithms for metric space problems", STOC'99. http://citeseer.ist.psu.edu/indyk00sublinear.html More
@inproceedings{ indyk99sublinear,
author = "Piotr Indyk",
title = "Sublinear time algorithms for metric space problems",
pages = "428--434",
year = "1999",
url = "citeseer.ist.psu.edu/indyk00sublinear.html" }
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