Feldmann, A.E. orcid.org/0000-0001-6229-5332 and Vu, T.A. orcid.org/0000-0002-8902-5196 (2022) Generalized k-center: distinguishing doubling and highway dimension. In: Bekos, M. A. and Kaufmann, M., (eds.) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 48th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2022, 22-24 Jun 2022, Tübingen, Germany. Lecture Notes in Computer Science, 13453 . Springer International Publishing , pp. 215-229. ISBN 978-3-031-15914-5
Abstract
We consider generalizations of the k -CENTER problem in graphs of low doubling and highway dimension. For the CAPACITATED k -SUPPLIER WITH OUTLIERS (CKSWO) problem, we show an efficient parameterized approximation scheme (EPAS) when the parameters are k, the number of outliers and the doubling dimension of the supplier set. On the other hand, we show that for the CAPACITATED k -CENTER problem, which is a special case of CKSWO, obtaining a parameterized approximation scheme (PAS) is W[1]-hard when the parameters are k, and the highway dimension. This is the first known example of a problem for which it is hard to obtain a PAS for highway dimension, while simultaneously admitting an EPAS for doubling dimension.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2022 Springer Nature Switzerland AG. This is an author-produced version of a paper subsequently published in Graph-Theoretic Concepts in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Capacitated k-Supplier with Outliers; Highway dimension; Doubling dimension; Parameterized approximation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 27 Jun 2023 14:09 |
Last Modified: | 01 Oct 2023 00:13 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-031-15914-5_16 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:200939 |