Abstract
We introduce a new matching problem originating from industry called the Paired Matching problem. The objective in the problem is to find a maximum matching of minimum cost in a bipartite graph. This is complicated by a non-trivial definition of cost, which is expressed based on a pairing of the vertices in one partite set. We prove that the problem is NP-complete even under further restrictions. We also study the parameterized complexity of the problem and give an exact algorithm for it using kernelization. In doing so, we show that the problem can be solved efficiently even on large inputs, as long as a given one of the partite sets is small.
Original language | English |
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Title of host publication | 19th Cologne-Twente Workshop on Graphs and Combinatorial Optimization, CTW2023 |
Publisher | Springer Nature |
Pages | 1-13 |
Number of pages | 13 |
DOIs | |
Publication status | Published - Feb 2024 |
Publication series
Name | AIRO Springer Series |
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Volume | 13 |
ISSN (Print) | 2523-7047 |
ISSN (Electronic) | 2523-7055 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.