Computing the P 3 -hull number of a graph, a polyhedral approach

A subset S of vertices of a graph G=(V,E) is P 3 -convex if every simple path of three vertices starting and ending in S is contained in S. The P 3 -convex hull of S is the smallest P 3 -convex set containing S and the P 3 -hull number of G is the minimum number of vertices of a subset S such that i...

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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0166218X_v255_n_p155_Blaum
http://hdl.handle.net/20.500.12110/paper_0166218X_v255_n_p155_Blaum
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spelling paper:paper_0166218X_v255_n_p155_Blaum2023-06-08T15:15:37Z Computing the P 3 -hull number of a graph, a polyhedral approach Combinatorial optimization Discrete convexity Facet-defining inequalities Hull number Combinatorial optimization Computational geometry Set theory Convex hull Convex set Discrete convexity Facet-defining inequalities Hull number NP-hard Polyhedral approach Polytopes Graph theory A subset S of vertices of a graph G=(V,E) is P 3 -convex if every simple path of three vertices starting and ending in S is contained in S. The P 3 -convex hull of S is the smallest P 3 -convex set containing S and the P 3 -hull number of G is the minimum number of vertices of a subset S such that its convex hull is V. It is a known fact that the calculation of the P 3 -hull number of a graph is NP-hard. In the present work we start the study of this problem from a polyhedral point of view, that is, we pose it as a binary IP problem and we study the associated polytope by exploring several families of facet-defining inequalities. © 2018 Elsevier B.V. 2019 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0166218X_v255_n_p155_Blaum http://hdl.handle.net/20.500.12110/paper_0166218X_v255_n_p155_Blaum
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Combinatorial optimization
Discrete convexity
Facet-defining inequalities
Hull number
Combinatorial optimization
Computational geometry
Set theory
Convex hull
Convex set
Discrete convexity
Facet-defining inequalities
Hull number
NP-hard
Polyhedral approach
Polytopes
Graph theory
spellingShingle Combinatorial optimization
Discrete convexity
Facet-defining inequalities
Hull number
Combinatorial optimization
Computational geometry
Set theory
Convex hull
Convex set
Discrete convexity
Facet-defining inequalities
Hull number
NP-hard
Polyhedral approach
Polytopes
Graph theory
Computing the P 3 -hull number of a graph, a polyhedral approach
topic_facet Combinatorial optimization
Discrete convexity
Facet-defining inequalities
Hull number
Combinatorial optimization
Computational geometry
Set theory
Convex hull
Convex set
Discrete convexity
Facet-defining inequalities
Hull number
NP-hard
Polyhedral approach
Polytopes
Graph theory
description A subset S of vertices of a graph G=(V,E) is P 3 -convex if every simple path of three vertices starting and ending in S is contained in S. The P 3 -convex hull of S is the smallest P 3 -convex set containing S and the P 3 -hull number of G is the minimum number of vertices of a subset S such that its convex hull is V. It is a known fact that the calculation of the P 3 -hull number of a graph is NP-hard. In the present work we start the study of this problem from a polyhedral point of view, that is, we pose it as a binary IP problem and we study the associated polytope by exploring several families of facet-defining inequalities. © 2018 Elsevier B.V.
title Computing the P 3 -hull number of a graph, a polyhedral approach
title_short Computing the P 3 -hull number of a graph, a polyhedral approach
title_full Computing the P 3 -hull number of a graph, a polyhedral approach
title_fullStr Computing the P 3 -hull number of a graph, a polyhedral approach
title_full_unstemmed Computing the P 3 -hull number of a graph, a polyhedral approach
title_sort computing the p 3 -hull number of a graph, a polyhedral approach
publishDate 2019
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0166218X_v255_n_p155_Blaum
http://hdl.handle.net/20.500.12110/paper_0166218X_v255_n_p155_Blaum
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