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SIAM Journal on Computing
Article . 1988 . Peer-reviewed
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Article . 2017
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Distance-Hereditary Graphs, Steiner Trees, and Connected Domination

Distance-hereditary graphs, Steiner trees, and connected domination
Authors: A. D'Atri; MOSCARINI, Marina;

Distance-Hereditary Graphs, Steiner Trees, and Connected Domination

Abstract

Summary: Distance-hereditary graphs have been introduced by Howorka and studied in the literature with respect to their metric properties. In this paper several equivalent characterizations of these graphs are given: in terms of existence of particular kinds of vertices (isolated, leaves, twins) and in terms of properties of connections, separators, and hangings. Distance-hereditary graphs are then studied from the algorithmic viewpoint: simple recognition algorithms are given and it is shown that the problems of finding cardinality Steiner trees and connected dominating sets are polynomially solvable in a distance-hereditary graph.

Country
Italy
Keywords

crossing chords, Analysis of algorithms and problem complexity, Steiner trees, Graph theory, Distance-hereditary graphs, Graph theory (including graph drawing) in computer science, connected dominating sets, Structural characterization of families of graphs, Paths and cycles, perfect graphs

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    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).
    88
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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!
88
Top 10%
Top 1%
Average
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