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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University of Belgrade
2003-01-01
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Online Access: | http://www.doiserbia.nb.rs/img/doi/0354-0243/2003/0354-02430301003D.pdf |
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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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