Approximating weighted neighborhood independent sets

A neighborhood independent set (NI-set) is a subset of edges in a graph such that the closed neighborhood of any vertex contains at most one edge of the subset. Finding a maximum cardinality NI-set is an NP-complete problem. We consider the weighted version of this problem. For general graphs we giv...

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Publicado: 2018
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00200190_v130_n_p11_Lin
http://hdl.handle.net/20.500.12110/paper_00200190_v130_n_p11_Lin
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spelling paper:paper_00200190_v130_n_p11_Lin2023-06-08T14:40:22Z Approximating weighted neighborhood independent sets Approximation algorithms Graph algorithms Weighted neighborhood independent set Approximation algorithms Computational complexity Problem solving Approximation ratios Diamond-free graphs General graph Graph algorithms Independent set Maximum degree Polynomially solvable Regular graphs Graph theory A neighborhood independent set (NI-set) is a subset of edges in a graph such that the closed neighborhood of any vertex contains at most one edge of the subset. Finding a maximum cardinality NI-set is an NP-complete problem. We consider the weighted version of this problem. For general graphs we give an algorithm with approximation ratio Δ, and for diamond-free graphs we give a ratio Δ/2+1, where Δ is the maximum degree of the input graph. Furthermore, we show that the problem is polynomially solvable on cographs. Finally, we give a tight upper bound on the cardinality of a NI-set on regular graphs. © 2017 2018 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00200190_v130_n_p11_Lin http://hdl.handle.net/20.500.12110/paper_00200190_v130_n_p11_Lin
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Approximation algorithms
Graph algorithms
Weighted neighborhood independent set
Approximation algorithms
Computational complexity
Problem solving
Approximation ratios
Diamond-free graphs
General graph
Graph algorithms
Independent set
Maximum degree
Polynomially solvable
Regular graphs
Graph theory
spellingShingle Approximation algorithms
Graph algorithms
Weighted neighborhood independent set
Approximation algorithms
Computational complexity
Problem solving
Approximation ratios
Diamond-free graphs
General graph
Graph algorithms
Independent set
Maximum degree
Polynomially solvable
Regular graphs
Graph theory
Approximating weighted neighborhood independent sets
topic_facet Approximation algorithms
Graph algorithms
Weighted neighborhood independent set
Approximation algorithms
Computational complexity
Problem solving
Approximation ratios
Diamond-free graphs
General graph
Graph algorithms
Independent set
Maximum degree
Polynomially solvable
Regular graphs
Graph theory
description A neighborhood independent set (NI-set) is a subset of edges in a graph such that the closed neighborhood of any vertex contains at most one edge of the subset. Finding a maximum cardinality NI-set is an NP-complete problem. We consider the weighted version of this problem. For general graphs we give an algorithm with approximation ratio Δ, and for diamond-free graphs we give a ratio Δ/2+1, where Δ is the maximum degree of the input graph. Furthermore, we show that the problem is polynomially solvable on cographs. Finally, we give a tight upper bound on the cardinality of a NI-set on regular graphs. © 2017
title Approximating weighted neighborhood independent sets
title_short Approximating weighted neighborhood independent sets
title_full Approximating weighted neighborhood independent sets
title_fullStr Approximating weighted neighborhood independent sets
title_full_unstemmed Approximating weighted neighborhood independent sets
title_sort approximating weighted neighborhood independent sets
publishDate 2018
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00200190_v130_n_p11_Lin
http://hdl.handle.net/20.500.12110/paper_00200190_v130_n_p11_Lin
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