Artículo
Neighborhood covering and independence on P4-tidy graphs and tree-cographs
Fecha de publicación:
11/2017
Editorial:
Springer
Revista:
Annals Of Operations Research
ISSN:
0254-5330
e-ISSN:
1572-9338
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Given a simple graph G, a set (Formula presented.) is a neighborhood cover set if every edge and vertex of G belongs to some G[v] with (Formula presented.), where G[v] denotes the subgraph of G induced by the closed neighborhood of the vertex v. Two elements of (Formula presented.) are neighborhood-independent if there is no vertex (Formula presented.) such that both elements are in G[v]. A set (Formula presented.) is neighborhood-independent if every pair of elements of S is neighborhood-independent. Let (Formula presented.) be the size of a minimum neighborhood cover set and (Formula presented.) of a maximum neighborhood-independent set. Lehel and Tuza defined neighborhood-perfect graphs G as those where the equality (Formula presented.) holds for every induced subgraph (Formula presented.) of G. In this work we prove forbidden induced subgraph characterizations of the class of neighborhood-perfect graphs, restricted to two superclasses of cographs: (Formula presented.)-tidy graphs and tree-cographs. We give as well linear-time algorithms for solving the recognition problem of neighborhood-perfect graphs and the problem of finding a minimum neighborhood cover set and a maximum neighborhood-independent set in these same classes. Finally we prove that although for complements of trees finding these optimal sets can be achieved in linear-time, for complements of bipartite graphs it is (Formula presented.)-hard.
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Articulos(OCA CIUDAD UNIVERSITARIA)
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA CIUDAD UNIVERSITARIA
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA CIUDAD UNIVERSITARIA
Citación
Duran, Guillermo Alfredo; Safe, Martin Dario; Warnes, Xavier Sebastián; Neighborhood covering and independence on P4-tidy graphs and tree-cographs; Springer; Annals Of Operations Research; 11-2017; 1-32
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