Artículo
Improved algorithms for k-domination and total k-domination in proper interval graphs
Chiarelli, Nina; Hartinger, Tatiana Romina; Leoni, Valeria Alejandra
; Lopez Pujato, María Inés
; Milanič, Martin
Fecha de publicación:
07/2018
Editorial:
Springer
Revista:
Lecture Notes in Computer Science
ISSN:
0302-9743
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Given a positive integer k, a k-dominating set in a graph G is a set of vertices such that every vertex not in the set has at least k neighbors in the set. A total k-dominating set, also known as a k-tuple total dominating set, is a set of vertices such that every vertex of the graph has at least k neighbors in the set. The problems of finding the minimum size of a k-dominating, resp. total k-dominating set, in a given graph, are referred to as k-domination, resp. total k-domination. These generalizations of the classical domination and total domination problems are known to be NP-hard in the class of chordal graphs, and, more specifically, even in the classes of split graphs (both problems) and undirected path graphs (in the case of total k-domination). On the other hand, it follows from recent work by Kang et al. (2017) that these two families of problems are solvable in time O(|V(G)|6k+4) in the class of interval graphs. In this work, we develop faster algorithms for k-domination and total k-domination in the class of proper interval graphs. The algorithms run in time O(|V(G)|3k) for each fixed k≥1 and are also applicable to the weighted case.
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(CCT - ROSARIO)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - ROSARIO
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - ROSARIO
Citación
Chiarelli, Nina; Hartinger, Tatiana Romina; Leoni, Valeria Alejandra; Lopez Pujato, María Inés; Milanič, Martin; Improved algorithms for k-domination and total k-domination in proper interval graphs; Springer; Lecture Notes in Computer Science; 10856 LNCS; 7-2018; 290-302
Compartir
Altmétricas