Polyhedral studies on vertex coloring problems

Autores
Delle Donne, Diego; Marenco, Javier
Año de publicación
2013
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Many variants of the vertex coloring problem have been de ned, such as precoloring extension, μ-coloring, (γ ; μ)-coloring, and list coloring. These problems are NP-hard, as they generalize the classical vertex coloring problem. On the other side, there exist several families of graphs for which some of these problems can be solved in polynomial time. The standard integer programming model for coloring problems uses a binary variable xvc for each vertex v and each color c to indicate whether v is assigned c or not. An extension of this model considers binary variables wc for each color c to indicate whether color c is used or not. In this work we study this formulation for the polynomial cases of the coloring problems mentioned above. In particular, we prove that if the classical vertex coloring problem yields an integer polytope for a family of graphs, then the same holds for μ-coloring, ( γ; μ)-coloring, and list coloring over the same family. We prove that the polytope associated to these problems over trees is integer and that adding the clique inequalities, the resulting polytope is integer over block graphs also. Finally, we give a new family of facet-inducing valid inequalities for the standard formulation and we provide empirical evidence suggesting that this family completely describes the polytope associated to these problems over cycles (and probably cactii graphs).
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Vertex coloring problem
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/94550

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spelling Polyhedral studies on vertex coloring problemsDelle Donne, DiegoMarenco, JavierCiencias InformáticasVertex coloring problemMany variants of the vertex coloring problem have been de ned, such as precoloring extension, μ-coloring, (γ ; μ)-coloring, and list coloring. These problems are NP-hard, as they generalize the classical vertex coloring problem. On the other side, there exist several families of graphs for which some of these problems can be solved in polynomial time. The standard integer programming model for coloring problems uses a binary variable xvc for each vertex v and each color c to indicate whether v is assigned c or not. An extension of this model considers binary variables wc for each color c to indicate whether color c is used or not. In this work we study this formulation for the polynomial cases of the coloring problems mentioned above. In particular, we prove that if the classical vertex coloring problem yields an integer polytope for a family of graphs, then the same holds for μ-coloring, ( γ; μ)-coloring, and list coloring over the same family. We prove that the polytope associated to these problems over trees is integer and that adding the clique inequalities, the resulting polytope is integer over block graphs also. Finally, we give a new family of facet-inducing valid inequalities for the standard formulation and we provide empirical evidence suggesting that this family completely describes the polytope associated to these problems over cycles (and probably cactii graphs).Sociedad Argentina de Informática e Investigación Operativa2013-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionResumenhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf7http://sedici.unlp.edu.ar/handle/10915/94550spainfo:eu-repo/semantics/altIdentifier/issn/1850-2865info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:00:35Zoai:sedici.unlp.edu.ar:10915/94550Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:00:36.068SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Polyhedral studies on vertex coloring problems
title Polyhedral studies on vertex coloring problems
spellingShingle Polyhedral studies on vertex coloring problems
Delle Donne, Diego
Ciencias Informáticas
Vertex coloring problem
title_short Polyhedral studies on vertex coloring problems
title_full Polyhedral studies on vertex coloring problems
title_fullStr Polyhedral studies on vertex coloring problems
title_full_unstemmed Polyhedral studies on vertex coloring problems
title_sort Polyhedral studies on vertex coloring problems
dc.creator.none.fl_str_mv Delle Donne, Diego
Marenco, Javier
author Delle Donne, Diego
author_facet Delle Donne, Diego
Marenco, Javier
author_role author
author2 Marenco, Javier
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Vertex coloring problem
topic Ciencias Informáticas
Vertex coloring problem
dc.description.none.fl_txt_mv Many variants of the vertex coloring problem have been de ned, such as precoloring extension, μ-coloring, (γ ; μ)-coloring, and list coloring. These problems are NP-hard, as they generalize the classical vertex coloring problem. On the other side, there exist several families of graphs for which some of these problems can be solved in polynomial time. The standard integer programming model for coloring problems uses a binary variable xvc for each vertex v and each color c to indicate whether v is assigned c or not. An extension of this model considers binary variables wc for each color c to indicate whether color c is used or not. In this work we study this formulation for the polynomial cases of the coloring problems mentioned above. In particular, we prove that if the classical vertex coloring problem yields an integer polytope for a family of graphs, then the same holds for μ-coloring, ( γ; μ)-coloring, and list coloring over the same family. We prove that the polytope associated to these problems over trees is integer and that adding the clique inequalities, the resulting polytope is integer over block graphs also. Finally, we give a new family of facet-inducing valid inequalities for the standard formulation and we provide empirical evidence suggesting that this family completely describes the polytope associated to these problems over cycles (and probably cactii graphs).
Sociedad Argentina de Informática e Investigación Operativa
description Many variants of the vertex coloring problem have been de ned, such as precoloring extension, μ-coloring, (γ ; μ)-coloring, and list coloring. These problems are NP-hard, as they generalize the classical vertex coloring problem. On the other side, there exist several families of graphs for which some of these problems can be solved in polynomial time. The standard integer programming model for coloring problems uses a binary variable xvc for each vertex v and each color c to indicate whether v is assigned c or not. An extension of this model considers binary variables wc for each color c to indicate whether color c is used or not. In this work we study this formulation for the polynomial cases of the coloring problems mentioned above. In particular, we prove that if the classical vertex coloring problem yields an integer polytope for a family of graphs, then the same holds for μ-coloring, ( γ; μ)-coloring, and list coloring over the same family. We prove that the polytope associated to these problems over trees is integer and that adding the clique inequalities, the resulting polytope is integer over block graphs also. Finally, we give a new family of facet-inducing valid inequalities for the standard formulation and we provide empirical evidence suggesting that this family completely describes the polytope associated to these problems over cycles (and probably cactii graphs).
publishDate 2013
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