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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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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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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1768541829415829504 |