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On the Complexity of Broadcast Domination and Multipacking in Digraphs
We study the complexity of the two dual covering and packing distance-based problems Broadcast Domination and Multipacking in digraphs. A dominating broadcast of a digraph D is a function [Formula: see text] such that for each vertex v of D, there exists a vertex t with [Formula: see text] having a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254899/ http://dx.doi.org/10.1007/978-3-030-48966-3_20 |
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author | Foucaud, Florent Gras, Benjamin Perez, Anthony Sikora, Florian |
author_facet | Foucaud, Florent Gras, Benjamin Perez, Anthony Sikora, Florian |
author_sort | Foucaud, Florent |
collection | PubMed |
description | We study the complexity of the two dual covering and packing distance-based problems Broadcast Domination and Multipacking in digraphs. A dominating broadcast of a digraph D is a function [Formula: see text] such that for each vertex v of D, there exists a vertex t with [Formula: see text] having a directed path to v of length at most f(t). The cost of f is the sum of f(v) over all vertices v. A multipacking is a set S of vertices of D such that for each vertex v of D and for every integer d, there are at most d vertices from S within directed distance at most d from v. The maximum size of a multipacking of D is a lower bound to the minimum cost of a dominating broadcast of D. Let Broadcast Domination denote the problem of deciding whether a given digraph D has a dominating broadcast of cost at most k, and Multipacking the problem of deciding whether D has a multipacking of size at least k. It is known that Broadcast Domination is polynomial-time solvable for the class of all undirected graphs (that is, symmetric digraphs), while polynomial-time algorithms for Multipacking are known only for a few classes of undirected graphs. We prove that Broadcast Domination and Multipacking are both NP-complete for digraphs, even for planar layered acyclic digraphs of small maximum degree. Moreover, when parameterized by the solution cost/solution size, we show that the problems are respectively W[2]-hard and W[1]-hard. We also show that Broadcast Domination is FPT on acyclic digraphs, and that it does not admit a polynomial kernel for such inputs, unless the polynomial hierarchy collapses to its third level. In addition, we show that both problems are FPT when parameterized by the solution cost/solution size together with the maximum out-degree. Finally, we give for both problems polynomial-time algorithms for some subclasses of acyclic digraphs. |
format | Online Article Text |
id | pubmed-7254899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72548992020-05-28 On the Complexity of Broadcast Domination and Multipacking in Digraphs Foucaud, Florent Gras, Benjamin Perez, Anthony Sikora, Florian Combinatorial Algorithms Article We study the complexity of the two dual covering and packing distance-based problems Broadcast Domination and Multipacking in digraphs. A dominating broadcast of a digraph D is a function [Formula: see text] such that for each vertex v of D, there exists a vertex t with [Formula: see text] having a directed path to v of length at most f(t). The cost of f is the sum of f(v) over all vertices v. A multipacking is a set S of vertices of D such that for each vertex v of D and for every integer d, there are at most d vertices from S within directed distance at most d from v. The maximum size of a multipacking of D is a lower bound to the minimum cost of a dominating broadcast of D. Let Broadcast Domination denote the problem of deciding whether a given digraph D has a dominating broadcast of cost at most k, and Multipacking the problem of deciding whether D has a multipacking of size at least k. It is known that Broadcast Domination is polynomial-time solvable for the class of all undirected graphs (that is, symmetric digraphs), while polynomial-time algorithms for Multipacking are known only for a few classes of undirected graphs. We prove that Broadcast Domination and Multipacking are both NP-complete for digraphs, even for planar layered acyclic digraphs of small maximum degree. Moreover, when parameterized by the solution cost/solution size, we show that the problems are respectively W[2]-hard and W[1]-hard. We also show that Broadcast Domination is FPT on acyclic digraphs, and that it does not admit a polynomial kernel for such inputs, unless the polynomial hierarchy collapses to its third level. In addition, we show that both problems are FPT when parameterized by the solution cost/solution size together with the maximum out-degree. Finally, we give for both problems polynomial-time algorithms for some subclasses of acyclic digraphs. 2020-04-30 /pmc/articles/PMC7254899/ http://dx.doi.org/10.1007/978-3-030-48966-3_20 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Foucaud, Florent Gras, Benjamin Perez, Anthony Sikora, Florian On the Complexity of Broadcast Domination and Multipacking in Digraphs |
title | On the Complexity of Broadcast Domination and Multipacking in Digraphs |
title_full | On the Complexity of Broadcast Domination and Multipacking in Digraphs |
title_fullStr | On the Complexity of Broadcast Domination and Multipacking in Digraphs |
title_full_unstemmed | On the Complexity of Broadcast Domination and Multipacking in Digraphs |
title_short | On the Complexity of Broadcast Domination and Multipacking in Digraphs |
title_sort | on the complexity of broadcast domination and multipacking in digraphs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254899/ http://dx.doi.org/10.1007/978-3-030-48966-3_20 |
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