Enumeration Kernelizations of Polynomial Size for Cuts of Bounded Degree
CoRR(2023)
摘要
Enumeration kernelization was first proposed by Creignou et al. [TOCS 2017]
and was later refined by Golovach et al. [JCSS 2022] into two different
variants: fully-polynomial enumeration kernelization and polynomial-delay
enumeration kernelization. In this paper, we consider the DEGREE-d-CUT problem
from the perspective of (polynomial-delay) enumeration kenrelization. Given an
undirected graph G = (V, E), a cut F = (A, B) is a degree-d-cut of G if every
u ∈ A has at most d neighbors in B and every v ∈ B has at most d
neighbors in A. Checking the existence of a degree-d-cut in a graph is a
well-known NP-hard problem and is well-studied in parameterized complexity
[Algorithmica 2021, IWOCA 2021]. This problem also generalizes a well-studied
problem MATCHING CUT (set d = 1) that has been a central problem in the
literature of polynomial-delay enumeration kernelization. In this paper, we
study three different enumeration variants of this problem, ENUM DEGREE-d-CUT,
ENUM MIN-DEGREE-d-CUT and ENUM MAX-DEGREE-d-CUT that intends to enumerate all
the d-cuts, all the minimal d-cuts and all the maximal degree-d-cuts
respectively. We consider various structural parameters of the input and for
every fixed d ≥ 1, we provide polynomial-delay enumeration kernelizations
of polynomial size for ENUM DEGREE-d-CUT and ENUM MAX-DEGREE-d-CUT and
fully-polynomial enumeration kernels of polynomial size for ENUM
MIN-DEGREE-d-CUT.
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关键词
cuts,degree,polynomial-delay
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