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Parameterized Complexity of Eulerian Deletion Problems

We study a family of problems where the goal is to make a graph Eulerian, i.e., connected and with all the vertices having even degrees, by a minimum number of deletions. We completely classify the parameterized complexity of various versions: undirected or directed graphs, vertex or edge deletions,...

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Detalles Bibliográficos
Autores principales: Cygan, Marek, Marx, Dániel, Pilipczuk, Marcin, Pilipczuk, Michał, Schlotter, Ildikó
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3883159/
https://www.ncbi.nlm.nih.gov/pubmed/24415818
http://dx.doi.org/10.1007/s00453-012-9667-x
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author Cygan, Marek
Marx, Dániel
Pilipczuk, Marcin
Pilipczuk, Michał
Schlotter, Ildikó
author_facet Cygan, Marek
Marx, Dániel
Pilipczuk, Marcin
Pilipczuk, Michał
Schlotter, Ildikó
author_sort Cygan, Marek
collection PubMed
description We study a family of problems where the goal is to make a graph Eulerian, i.e., connected and with all the vertices having even degrees, by a minimum number of deletions. We completely classify the parameterized complexity of various versions: undirected or directed graphs, vertex or edge deletions, with or without the requirement of connectivity, etc. The collection of results shows an interesting contrast: while the node-deletion variants remain intractable, i.e., W[1]-hard for all the studied cases, edge-deletion problems are either fixed-parameter tractable or polynomial-time solvable. Of particular interest is a randomized FPT algorithm for making an undirected graph Eulerian by deleting the minimum number of edges, based on a novel application of the color coding technique. For versions that remain NP-complete but fixed-parameter tractable we consider also possibilities of polynomial kernelization; unfortunately, we prove that this is not possible unless NP⊆coNP/poly.
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spelling pubmed-38831592014-01-10 Parameterized Complexity of Eulerian Deletion Problems Cygan, Marek Marx, Dániel Pilipczuk, Marcin Pilipczuk, Michał Schlotter, Ildikó Algorithmica Article We study a family of problems where the goal is to make a graph Eulerian, i.e., connected and with all the vertices having even degrees, by a minimum number of deletions. We completely classify the parameterized complexity of various versions: undirected or directed graphs, vertex or edge deletions, with or without the requirement of connectivity, etc. The collection of results shows an interesting contrast: while the node-deletion variants remain intractable, i.e., W[1]-hard for all the studied cases, edge-deletion problems are either fixed-parameter tractable or polynomial-time solvable. Of particular interest is a randomized FPT algorithm for making an undirected graph Eulerian by deleting the minimum number of edges, based on a novel application of the color coding technique. For versions that remain NP-complete but fixed-parameter tractable we consider also possibilities of polynomial kernelization; unfortunately, we prove that this is not possible unless NP⊆coNP/poly. Springer US 2012-06-22 2014 /pmc/articles/PMC3883159/ /pubmed/24415818 http://dx.doi.org/10.1007/s00453-012-9667-x Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Article
Cygan, Marek
Marx, Dániel
Pilipczuk, Marcin
Pilipczuk, Michał
Schlotter, Ildikó
Parameterized Complexity of Eulerian Deletion Problems
title Parameterized Complexity of Eulerian Deletion Problems
title_full Parameterized Complexity of Eulerian Deletion Problems
title_fullStr Parameterized Complexity of Eulerian Deletion Problems
title_full_unstemmed Parameterized Complexity of Eulerian Deletion Problems
title_short Parameterized Complexity of Eulerian Deletion Problems
title_sort parameterized complexity of eulerian deletion problems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3883159/
https://www.ncbi.nlm.nih.gov/pubmed/24415818
http://dx.doi.org/10.1007/s00453-012-9667-x
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