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Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.STACS.2023.41
URN: urn:nbn:de:0030-drops-176935
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/17693/
Konrad, Christian ;
Naidu, Kheeran K. ;
Steward, Arun
Maximum Matching via Maximal Matching Queries
Abstract
We study approximation algorithms for Maximum Matching that are given access to the input graph solely via an edge-query maximal matching oracle. More specifically, in each round, an algorithm queries a set of potential edges and the oracle returns a maximal matching in the subgraph spanned by the query edges that are also contained in the input graph. This model is more general than the vertex-query model introduced by binti Khalil and Konrad [FSTTCS'20], where each query consists of a subset of vertices and the oracle returns a maximal matching in the subgraph of the input graph induced by the queried vertices.
In this paper, we give tight bounds for deterministic edge-query algorithms for up to three rounds. In more detail:
1) As our main result, we give a deterministic 3-round edge-query algorithm with approximation factor 0.625 on bipartite graphs. This result establishes a separation between the edge-query and the vertex-query models since every deterministic 3-round vertex-query algorithm has an approximation factor of at most 0.6 [binti Khalil, Konrad, FSTTCS'20], even on bipartite graphs. Our algorithm can also be implemented in the semi-streaming model of computation in a straightforward manner and improves upon the state-of-the-art 3-pass 0.6111-approximation algorithm by Feldman and Szarf [APPROX'22] for bipartite graphs.
2) We show that the aforementioned algorithm is optimal in that every deterministic 3-round edge-query algorithm has an approximation factor of at most 0.625, even on bipartite graphs.
3) Last, we also give optimal bounds for one and two query rounds, where the best approximation factors achievable are 1/2 and 1/2 + Θ(1/n), respectively, where n is the number of vertices in the input graph.
BibTeX - Entry
@InProceedings{konrad_et_al:LIPIcs.STACS.2023.41,
author = {Konrad, Christian and Naidu, Kheeran K. and Steward, Arun},
title = {{Maximum Matching via Maximal Matching Queries}},
booktitle = {40th International Symposium on Theoretical Aspects of Computer Science (STACS 2023)},
pages = {41:1--41:22},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-266-2},
ISSN = {1868-8969},
year = {2023},
volume = {254},
editor = {Berenbrink, Petra and Bouyer, Patricia and Dawar, Anuj and Kant\'{e}, Mamadou Moustapha},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2023/17693},
URN = {urn:nbn:de:0030-drops-176935},
doi = {10.4230/LIPIcs.STACS.2023.41},
annote = {Keywords: Maximum Matching, Query Model, Algorithms, Lower Bounds}
}
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Keywords: |
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Maximum Matching, Query Model, Algorithms, Lower Bounds |
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Collection: |
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40th International Symposium on Theoretical Aspects of Computer Science (STACS 2023) |
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Issue Date: |
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2023 |
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Date of publication: |
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03.03.2023 |
