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Computational Complexity of Outer-Independent Total and Total Roman Domination Numbers in Trees

Authors: Zepeng Li; Zehui Shao; Fangnian Lang; Xiaosong Zhang 0001; Jia-Bao Liu;

Computational Complexity of Outer-Independent Total and Total Roman Domination Numbers in Trees

Abstract

An outer-independent total dominating set (OITDS) of a graph G is a set D of vertices of G such that every vertex of G has a neighbor in D, and the set V (G) \ D is independent. The outer-independent total domination number of a graph G, denoted by γoit(G), is the minimum cardinality of an OITDS of G. An outer-independent total Roman dominating function (OITRDF) on a graph G is a function f : V(G) → {0, 1, 2} satisfying the conditions that every vertex u with f (u) = 0 is adjacent to at least one vertex v with f (v) = 2, every vertex x with f (x) ≥ 1 is adjacent to at least one vertex y with f (y) ≥ 1, and any two different vertices a, b with f (a) = f (b) = 0 are not adjacent. The minimum weight ω( f) = Σv∈V(G) f (v) of any OITRDF f for G is the outer-independent total Roman domination number of G, denoted by γoitR(G). A graph G is called an outer-independent total Roman graph (OIT-Roman graph) if γoitR(G) = 2γoit(G). In this paper, we propose dynamic programming algorithms to compute the outer-independent total domination number and the outer-independent total Roman domination number of a tree, respectively. Moreover, we characterize all OIT-Roman graphs and give a linear time algorithm for recognizing an OIT-Roman graph.

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Keywords

algorithm, outer-independent total Roman domination, Outer-independent total domination, Electrical engineering. Electronics. Nuclear engineering, outer-independent total Roman graph, tree, TK1-9971

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Top 10%
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