Parameterized Approximations for the Minimum Diameter Vertex-Weighted Steiner Tree Problem in Graphs with Parameterized Weights

Let [Formula: see text] be a weighted undirected connected graph, where [Formula: see text] is the set of vertices, [Formula: see text] is the set of edges, [Formula: see text] is a subset of terminals, [Formula: see text] denotes the weight associated with edge [Formula: see text], and [Formula: see text] denotes the weight associated with vertex [Formula: see text]. Let [Formula: see text] be a Steiner tree in [Formula: see text] to interconnect all terminals in [Formula: see text]. For any two terminals, [Formula: see text], we consider the weighted tree distance on [Formula: see text] from [Formula: see text] to [Formula: see text], defined as the weight of [Formula: see text] times the classic tree distance on [Formula: see text] from [Formula: see text] to [Formula: see text]. The longest weighted tree distance on [Formula: see text] between terminals is named the weighted diameter of [Formula: see text]. The Minimum Diameter Vertex-Weighted Steiner Tree Problem (MDWSTP) asks for a Steiner tree in [Formula: see text] of the minimum weighted diameter to interconnect all terminals in [Formula: see text]. In this paper, we introduce two classes of parameterized graphs (PG), [Formula: see text]-PG and [Formula: see text]-PG, in terms of the parameterized upper bound on the ratio of two vertex weights, and a weaker version of the parameterized triangle inequality, respectively, and present approximation algorithms of a parameterized factor for the MDWSTP in them. For the MDWSTP in an edge-weighted [Formula: see text]-PG, we present an approximation algorithm of a parameterized factor [Formula: see text]. For the MDWSTP in a vertex-weighted [Formula: see text]-PG, we first present a simple approximation algorithm of a parameterized factor [Formula: see text], where [Formula: see text] is tight when [Formula: see text], and further develop another approximation algorithm of a slightly improved factor.

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Journal
Asia Pacific Journal of Operational Research
Published
2024-08-30
DOI
https://doi.org/10.1142/s0217595924500258
Primary Topic
VLSI and FPGA Design Techniques
Type
article
Field-Weighted Citation Impact
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article

Parameterized Approximations for the Minimum Diameter Vertex-Weighted Steiner Tree Problem in Graphs with Parameterized Weights

Yu Zhou, Wei Ding, Guangting Chen, Ke Qiu
Asia Pacific Journal of Operational Research
VLSI and FPGA Design Techniques
article

Parameterized Approximations for the Minimum Diameter Vertex-Weighted Steiner Tree Problem in Graphs with Parameterized Weights

Yu Zhou, Wei Ding, Guangting Chen, Ke Qiu
article en

Abstract

Let [Formula: see text] be a weighted undirected connected graph, where [Formula: see text] is the set of vertices, [Formula: see text] is the set of edges, [Formula: see text] is a subset of terminals, [Formula: see text] denotes the weight associated with edge [Formula: see text], and [Formula: see text] denotes the weight associated with vertex [Formula: see text]. Let [Formula: see text] be a Steiner tree in [Formula: see text] to interconnect all terminals in [Formula: see text]. For any two terminals, [Formula: see text], we consider the weighted tree distance on [Formula: see text] from [Formula: see text] to [Formula: see text], defined as the weight of [Formula: see text] times the classic tree distance on [Formula: see text] from [Formula: see text] to [Formula: see text]. The longest weighted tree distance on [Formula: see text] between terminals is named the weighted diameter of [Formula: see text]. The Minimum Diameter Vertex-Weighted Steiner Tree Problem (MDWSTP) asks for a Steiner tree in [Formula: see text] of the minimum weighted diameter to interconnect all terminals in [Formula: see text]. In this paper, we introduce two classes of parameterized graphs (PG), [Formula: see text]-PG and [Formula: see text]-PG, in terms of the parameterized upper bound on the ratio of two vertex weights, and a weaker version of the parameterized triangle inequality, respectively, and present approximation algorithms of a parameterized factor for the MDWSTP in them. For the MDWSTP in an edge-weighted [Formula: see text]-PG, we present an approximation algorithm of a parameterized factor [Formula: see text]. For the MDWSTP in a vertex-weighted [Formula: see text]-PG, we first present a simple approximation algorithm of a parameterized factor [Formula: see text], where [Formula: see text] is tight when [Formula: see text], and further develop another approximation algorithm of a slightly improved factor.

Asia Pacific Journal of Operational ResearchVol. 42(04)
Shanxi University (CN), Brock University (CA), Zhejiang University of Water Resource and Electric Power (CN), Taiyuan University of Technology (CN)
Openalex Percentile: Top 88%
VLSI and FPGA Design Techniques
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