Reducing off-line to on-line: An example and its applications

We study on-line versions of maximum weighted hereditary subgraph problems for which the instance is revealed in two clusters. We focus on the comparison of these on-line problems with their respective off-line versions. In [3], we have reduced on-line versions to the off-line ones in order to devis...

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Main Author: Demange Marc
Format: Article
Language:English
Published: University of Belgrade 2003-01-01
Series:Yugoslav Journal of Operations Research
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-0243/2003/0354-02430301003D.pdf
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spelling doaj-1ff9527fffef4741afb1236909b587702020-11-24T22:52:12ZengUniversity of BelgradeYugoslav Journal of Operations Research0354-02431820-743X2003-01-0113132410.2298/YJOR0301003DReducing off-line to on-line: An example and its applicationsDemange MarcWe study on-line versions of maximum weighted hereditary subgraph problems for which the instance is revealed in two clusters. We focus on the comparison of these on-line problems with their respective off-line versions. In [3], we have reduced on-line versions to the off-line ones in order to devise competitive analysis for such problems. In this paper, we first devise hardness results pointing out that this previous analysis was tight. Then, we propose a process that allows, for a large class of hereditary problems, to transform an on-line algorithm into an off-line one with improvement of the guarantees. This result can be seen as an inverse version of our previous work. It brings to the fore a hardness gap between on-line and off-line versions of those problems. This result does not apply in the case of maximizing a k -colorable induced subgraph of a given graph. For this problem we point out that, contrary to the first case, the on-line version is almost as well approximated as the offline one. . http://www.doiserbia.nb.rs/img/doi/0354-0243/2003/0354-02430301003D.pdfcombinatorial problemson-line computationreductionshereditary subgraph problem
collection DOAJ
language English
format Article
sources DOAJ
author Demange Marc
spellingShingle Demange Marc
Reducing off-line to on-line: An example and its applications
Yugoslav Journal of Operations Research
combinatorial problems
on-line computation
reductions
hereditary subgraph problem
author_facet Demange Marc
author_sort Demange Marc
title Reducing off-line to on-line: An example and its applications
title_short Reducing off-line to on-line: An example and its applications
title_full Reducing off-line to on-line: An example and its applications
title_fullStr Reducing off-line to on-line: An example and its applications
title_full_unstemmed Reducing off-line to on-line: An example and its applications
title_sort reducing off-line to on-line: an example and its applications
publisher University of Belgrade
series Yugoslav Journal of Operations Research
issn 0354-0243
1820-743X
publishDate 2003-01-01
description We study on-line versions of maximum weighted hereditary subgraph problems for which the instance is revealed in two clusters. We focus on the comparison of these on-line problems with their respective off-line versions. In [3], we have reduced on-line versions to the off-line ones in order to devise competitive analysis for such problems. In this paper, we first devise hardness results pointing out that this previous analysis was tight. Then, we propose a process that allows, for a large class of hereditary problems, to transform an on-line algorithm into an off-line one with improvement of the guarantees. This result can be seen as an inverse version of our previous work. It brings to the fore a hardness gap between on-line and off-line versions of those problems. This result does not apply in the case of maximizing a k -colorable induced subgraph of a given graph. For this problem we point out that, contrary to the first case, the on-line version is almost as well approximated as the offline one. .
topic combinatorial problems
on-line computation
reductions
hereditary subgraph problem
url http://www.doiserbia.nb.rs/img/doi/0354-0243/2003/0354-02430301003D.pdf
work_keys_str_mv AT demangemarc reducingofflinetoonlineanexampleanditsapplications
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