מירב זהבי

אקדמי בכיר

Quadratic Vertex Kernel for Rainbow Matching

Sushmita Gupta, Sanjukta Roy, Saket Saurabh, Meirav Zehavi

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.

שפת פרסום אנגלית
דפים 881-897
כתב עת Algorithmica
כרך 82
נושא מספר 4
סטטוס פרסום פורסם - 01.04.2020

Keywords

Parameterized complexity
Polynomial kernel
Rainbow matching

ASJC Scopus subject areas

General Computer Science
Computer Science Applications
Applied Mathematics
גישה למסמך
10.1007/s00453-019-00618-0
קבצים וקישורים אחרים
Link to publication in Scopus