Weighted geometric set multi-cover via quasi-uniform sampling

<p>We give a randomized polynomial time algorithm with approximation ratio $O(\log \phi(n))$ for weighted set multi-cover instances with a shallow cell complexity of at most $f(z,k) =z\phi(z) k^{O(1)}$. Up to constant factors, this matches a recent result of Chan, Grant, Konemann and Sharpe fo...

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Main Authors: Nikhil Bansal, Kirk Pruhs
Format: Article
Language:English
Published: Carleton University 2016-05-01
Series:Journal of Computational Geometry
Online Access:http://jocg.org/index.php/jocg/article/view/126
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author Nikhil Bansal
Kirk Pruhs
author_facet Nikhil Bansal
Kirk Pruhs
author_sort Nikhil Bansal
collection DOAJ
description <p>We give a randomized polynomial time algorithm with approximation ratio $O(\log \phi(n))$ for weighted set multi-cover instances with a shallow cell complexity of at most $f(z,k) =z\phi(z) k^{O(1)}$. Up to constant factors, this matches a recent result of Chan, Grant, Konemann and Sharpe for the set cover case, i.e. when all the covering requirements are 1. One consequence of this is an $O(1)$-approximation for geometric weighted set multi-cover problems when the geometric objects have linear union complexity; for example when the objects are disks, unit cubes or halfspaces in $\mathbb{R}^3$. Another consequence is to show that the real diculty of many natural capacitated set covering problems lies with solving the associated priority cover problem only, and not with the associated multi-cover problem.</p>
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spelling doaj.art-a3a530036b3342deb5f53faee23704372022-12-21T21:58:24ZengCarleton UniversityJournal of Computational Geometry1920-180X2016-05-017110.20382/jocg.v7i1a1198Weighted geometric set multi-cover via quasi-uniform samplingNikhil BansalKirk Pruhs<p>We give a randomized polynomial time algorithm with approximation ratio $O(\log \phi(n))$ for weighted set multi-cover instances with a shallow cell complexity of at most $f(z,k) =z\phi(z) k^{O(1)}$. Up to constant factors, this matches a recent result of Chan, Grant, Konemann and Sharpe for the set cover case, i.e. when all the covering requirements are 1. One consequence of this is an $O(1)$-approximation for geometric weighted set multi-cover problems when the geometric objects have linear union complexity; for example when the objects are disks, unit cubes or halfspaces in $\mathbb{R}^3$. Another consequence is to show that the real diculty of many natural capacitated set covering problems lies with solving the associated priority cover problem only, and not with the associated multi-cover problem.</p>http://jocg.org/index.php/jocg/article/view/126
spellingShingle Nikhil Bansal
Kirk Pruhs
Weighted geometric set multi-cover via quasi-uniform sampling
Journal of Computational Geometry
title Weighted geometric set multi-cover via quasi-uniform sampling
title_full Weighted geometric set multi-cover via quasi-uniform sampling
title_fullStr Weighted geometric set multi-cover via quasi-uniform sampling
title_full_unstemmed Weighted geometric set multi-cover via quasi-uniform sampling
title_short Weighted geometric set multi-cover via quasi-uniform sampling
title_sort weighted geometric set multi cover via quasi uniform sampling
url http://jocg.org/index.php/jocg/article/view/126
work_keys_str_mv AT nikhilbansal weightedgeometricsetmulticoverviaquasiuniformsampling
AT kirkpruhs weightedgeometricsetmulticoverviaquasiuniformsampling