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Main Authors: Watel, Dimitri, Weisser, Marc-Antoine, Barth, Dominique, Aboulfath, Ylène, Mautor, Thierry
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2404.17223
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author Watel, Dimitri
Weisser, Marc-Antoine
Barth, Dominique
Aboulfath, Ylène
Mautor, Thierry
author_facet Watel, Dimitri
Weisser, Marc-Antoine
Barth, Dominique
Aboulfath, Ylène
Mautor, Thierry
contents We address a specific case of the matroid intersection problem: given a set of graphs sharing the same set of vertices, select a minimum cycle basis for each graph to maximize the size of their intersection. We provide a comprehensive complexity analysis of this problem, which finds applications in chemoinformatics. We establish a complete partition of subcases based on intrinsic parameters: the number of graphs, the maximum degree of the graphs, and the size of the longest cycle in the minimum cycle bases. Additionally, we present results concerning the approximability and parameterized complexity of the problem.
format Preprint
id arxiv_https___arxiv_org_abs_2404_17223
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Maximizing Minimum Cycle Bases Intersection
Watel, Dimitri
Weisser, Marc-Antoine
Barth, Dominique
Aboulfath, Ylène
Mautor, Thierry
Computational Complexity
We address a specific case of the matroid intersection problem: given a set of graphs sharing the same set of vertices, select a minimum cycle basis for each graph to maximize the size of their intersection. We provide a comprehensive complexity analysis of this problem, which finds applications in chemoinformatics. We establish a complete partition of subcases based on intrinsic parameters: the number of graphs, the maximum degree of the graphs, and the size of the longest cycle in the minimum cycle bases. Additionally, we present results concerning the approximability and parameterized complexity of the problem.
title Maximizing Minimum Cycle Bases Intersection
topic Computational Complexity
url https://arxiv.org/abs/2404.17223