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Quadratic Vertex Kernel for Rainbow Matching.

Authors :
Gupta, Sushmita
Roy, Sanjukta
Saurabh, Saket
Zehavi, Meirav
Source :
Algorithmica. Apr2020, Vol. 82 Issue 4, p881-897. 17p.
Publication Year :
2020

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01784617
Volume :
82
Issue :
4
Database :
Academic Search Index
Journal :
Algorithmica
Publication Type :
Academic Journal
Accession number :
141917039
Full Text :
https://doi.org/10.1007/s00453-019-00618-0