On Fixed-Parameter Solvability of the Minimax Path Location Problem

Hao Lin , Cheng He

Communications on Applied Mathematics and Computation ›› 2023, Vol. 5 ›› Issue (4) : 1644 -1654.

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Communications on Applied Mathematics and Computation ›› 2023, Vol. 5 ›› Issue (4) : 1644 -1654. DOI: 10.1007/s42967-022-00238-6
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On Fixed-Parameter Solvability of the Minimax Path Location Problem

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Abstract

The minimax path location problem is to find a path P in a graph G such that the maximum distance $d_G(v,P)$ from every vertex $v\in V(G)$ to the path P is minimized. It is a well-known NP-hard problem in network optimization. This paper studies the fixed-parameter solvability, that is, for a given graph G and an integer k, to decide whether there exists a path P in G such that $\mathop{\max}\limits_{v\in V(G)}d_G(v,P)\leqslant k$. If the answer is affirmative, then graph G is called k-path-eccentric. We show that this decision problem is NP-complete even for $k=1$. On the other hand, we characterize the family of 1-path-eccentric graphs, including the traceable, interval, split, permutation graphs and others. Furthermore, some polynomially solvable special graphs are discussed.

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Hao Lin, Cheng He. On Fixed-Parameter Solvability of the Minimax Path Location Problem. Communications on Applied Mathematics and Computation, 2023, 5(4): 1644-1654 DOI:10.1007/s42967-022-00238-6

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