Zimo Sheng: Improved Kernels for Edge Triangle Covering Problem

Weekly Seminars
Speaker
Zimo Sheng
Affiliation
University of Electronic Science and Technology of China
Date
Time
Asia/Shanghai
Venue
518, Research Building 4

Abstract

Kernelization is a concept of data preprocessing which is possible to derive upper and lower bounds on sizes of reduced instance. Edge Triangle Covering is an important NP-hard problem that has been well studied in exact and parameterized complexity.In this paper, we study kernelization of the Edge Triangle Covering problem, which is to check whether a given graph has a edge-disjoint covering size of at most k. We prove a kernel of $3k$ vertices, improving the previous bound of $6k$.