2009
DOI: 10.1007/s00607-009-0070-7
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Inverse 1-center location problems with edge length augmentation on trees

Abstract: This paper considers the inverse 1-center location problem with edge length augmentation on a tree network T with n + 1 vertices. The goal is to increase the edge lengths at minimum total cost subject to given modification bounds such that a prespecified vertex s becomes an absolute 1-center under the new edge lengths. Using a set of suitably extended AVL-search trees we develop a combinatorial algorithm which solves the inverse 1-center location problem with edge length augmentation in O(n log n) time. Moreov… Show more

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Cited by 48 publications
(10 citation statements)
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References 15 publications
(13 reference statements)
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“…Thus, it is interesting to study in which cases the inverse 1-center problem can be solved in polynomial time. The inverse 1-center problem on unweighted trees was solved efficiently in polynomial time, see [1,2,3]. However, for the inverse 1-center problem on cactus graphs which is a simple generalization of the corresponding problem on tree networks, Nguyen and Chassein [21] showed the NP-hardness.…”
Section: Introductionmentioning
confidence: 98%
“…Thus, it is interesting to study in which cases the inverse 1-center problem can be solved in polynomial time. The inverse 1-center problem on unweighted trees was solved efficiently in polynomial time, see [1,2,3]. However, for the inverse 1-center problem on cactus graphs which is a simple generalization of the corresponding problem on tree networks, Nguyen and Chassein [21] showed the NP-hardness.…”
Section: Introductionmentioning
confidence: 98%
“…They also developed an O(cn log n) time algorithm for uniform-cost inverse 1-center problem on trees where c is the compressed depth of the tree. Furthermore, Alizadeh et al (2009) provided an O(n log n) algorithm to solve the inverse 1-center problem on (unweighted) trees with edge length augmentation. The complexity was improved to linear time in case the costs of edge lengths modification are uniform.…”
Section: Introductionmentioning
confidence: 99%
“…Dropping this condition, they proposed an O(n 2 r) time algorithm where the parameter r bounded by ⌈ n 2 ⌉. Recently Alizadeh, Burkard and Pferschy [2] used a set of suitably extended AVL-search trees and developed a combinatorial algorithm which solves the inverse 1-center location problem with edge length augmentation in O(n log n) time. In this article we investigate the inverse p-median problem with variable edge lengths.…”
Section: Introductionmentioning
confidence: 99%