Gupta, Sushmita ; Roy, Sanjukta ; Saurabh, Saket ; Zehavi, Meirav (2020) Quadratic Vertex Kernel for Rainbow Matching Algorithmica, 82 (4). pp. 881-897. ISSN 0178-4617
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Official URL: http://doi.org/10.1007/s00453-019-00618-0
Related URL: http://dx.doi.org/10.1007/s00453-019-00618-0
Abstract
In this paper, we study the NP-complete colorful variant of the classic matching problem, namely, the RAINBOW MATCHING problem. Given an edge-colored graph G and a positive integer k, the goal is to decide whether there exists a matching of size at least k such that the edges in the matching have distinct colors. Previously, in [MFCS’17], we studied this problem from the view point of Parameterized Complexity and gave efficient FPT algorithms as well as a quadratic kernel on paths. In this paper we design a quadratic vertex kernel for RAINBOW MATCHING on general graphs; generalizing the earlier quadratic kernel on paths to general graphs. For our kernelization algorithm we combine a graph decomposition method with an application of expansion lemma.
Item Type: | Article |
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Source: | Copyright of this article belongs to Springer Verlag. |
ID Code: | 123356 |
Deposited On: | 14 Sep 2021 08:20 |
Last Modified: | 14 Sep 2021 08:20 |
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