Solving problems on generalized convex graphs via mim-width

• Autores: Bonomo, Flavia; Brettell, Nick; Munaro, Andrea; Paulusma, Daniël
• Año de publicación: 2024
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: convex-graph; mim-width; width parameter; polynomial-time algorithm
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

A bipartite graph G = (A, B, E) is H-convex, for some family of graphs H, if there exists a graph F ∈ H with V (F) = A such that the set of neighbours in A of each b ∈ B induces a connected subgraph of F. Many NP-complete problems, including problems such as Dominating Set, Feedback Vertex Set, Induced Matching and List k-Colouring, become polynomial-time solvable for H-convex graphs when H is the set of paths. In this case, the class of H-convex graphs is known as the class of convex graphs. The underlying reason is that the class of convex graphs has bounded mim-width. We extend the latter result to families of H-convex graphs where (i) H is the set of cycles, or (ii) H is the set of trees with bounded maximum degree and a bounded number of vertices of degree at least 3. As a consequence, we can strengthen a large number of results on generalized convex graphs known in the literature via one general and relatively short proof. To complement result (ii), we show that the mim-width of H-convex graphs is unbounded if H is the set of trees with arbitrarilylarge maximum degree or an arbitrarily large number of vertices of degree at least 3.In this way we are able to determine complexity dichotomies for the aforementioned graph problems. We prove our results via a more refined width-parameter analysis. This yields an even clearer picture of which width parameters are bounded for classes of H-convex graphs.
Fil: Bonomo, Flavia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Brettell, Nick. Victoria University Of Wellington; Nueva Zelanda
Fil: Munaro, Andrea. Università di Parma; Italia
Fil: Paulusma, Daniël. University of Durham; Reino Unido