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INFORMS Journal on Computing
Article . 2025 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2023
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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A New Approximation Algorithm for Minimum-Weight (1,m)–Connected Dominating Set

Authors: Jiao Zhou; Yingli Ran; Panos M. Pardalos; Zhao Zhang; Shaojie Tang; Ding-Zhu Du;

A New Approximation Algorithm for Minimum-Weight (1,m)–Connected Dominating Set

Abstract

Consider a graph with nonnegative node weight. A vertex subset is called a CDS (connected dominating set) if every other node has at least one neighbor in the subset and the subset induces a connected subgraph. Furthermore, if every other node has at least m neighbors in the subset, then the node subset is called a [Formula: see text]CDS. The minimum-weight [Formula: see text]CDS problem aims at finding a [Formula: see text]CDS with minimum total node weight. In this paper, we present a new polynomial-time approximation algorithm for this problem, which improves previous ratio by a factor of 2/3. History: Accepted by Erwin Pesch, Area Editor for Heuristic Search & Approximation Algorithms. Funding: This work was supported by the National Natural Science Foundation of China [Grant U20A2068] and the National Science Foundation [Grant III-1907472]. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2023.0306 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2023.0306 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .

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Keywords

FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), F.2.2, 68W25, Computer Science - Discrete Mathematics

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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!
0
Average
Average
Average
Green