An Improved Kernel and Parameterized Algorithm for Almost Induced Matching

Fuente: arXiv
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Main Authors: Liu, Yuxi, Xiao, Mingyu
Format: Preprint
Published: 2023
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author Liu, Yuxi
Xiao, Mingyu
author_facet Liu, Yuxi
Xiao, Mingyu
contents An induced subgraph is called an induced matching if each vertex is a degree-1 vertex in the subgraph. The \textsc{Almost Induced Matching} problem asks whether we can delete at most $k$ vertices from the input graph such that the remaining graph is an induced matching. This paper studies parameterized algorithms for this problem by taking the size $k$ of the deletion set as the parameter. First, we prove a $6k$-vertex kernel for this problem, improving the previous result of $7k$. Second, we give an $O^*(1.6765^k)$-time and polynomial-space algorithm, improving the previous running-time bound of $O^*(1.7485^k)$.
format Preprint
id arxiv_https___arxiv_org_abs_2308_14116
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle An Improved Kernel and Parameterized Algorithm for Almost Induced Matching
Liu, Yuxi
Xiao, Mingyu
Data Structures and Algorithms
An induced subgraph is called an induced matching if each vertex is a degree-1 vertex in the subgraph. The \textsc{Almost Induced Matching} problem asks whether we can delete at most $k$ vertices from the input graph such that the remaining graph is an induced matching. This paper studies parameterized algorithms for this problem by taking the size $k$ of the deletion set as the parameter. First, we prove a $6k$-vertex kernel for this problem, improving the previous result of $7k$. Second, we give an $O^*(1.6765^k)$-time and polynomial-space algorithm, improving the previous running-time bound of $O^*(1.7485^k)$.
title An Improved Kernel and Parameterized Algorithm for Almost Induced Matching
topic Data Structures and Algorithms
url https://arxiv.org/abs/2308.14116