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Computation of Inverse 1 -Center Location Problem on the Weighted Trees

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dc.contributor.author Jana, Biswanath
dc.contributor.author Mondal, Sukumar
dc.contributor.author Pal, Madhumangal
dc.date.accessioned 2022-12-16T06:26:29Z
dc.date.available 2022-12-16T06:26:29Z
dc.date.issued 2012-02
dc.identifier.issn 0974 – 9713
dc.identifier.issn 0974 – 9616
dc.identifier.uri http://111.93.204.14:8080/xmlui/handle/123456789/1155
dc.description.abstract Let r be a tree with (" + 1 ) vertices and # edges with positive edge weights. The inverse 1 -center problem on an edge weighted tree consists in changing edge weights at minimum cost so that a pre-specified vertex becomes the 1-center. In the context of location problems Cai et al. [9] proved that the inverse 1-center location problem with edge length modification on general unweighted directed graphs is NP-hard, while the underlying center location problem is solvable in polynomial time. Alizadeh et al. [1] have designed an algorithm for inverse 1 -center location problem with edge length augmentation on trees in a(" log ") time, using a set of suitably extended AVL-search trees. In [2], Alizadeh et al. have designed a combinatorial algorithm for inverse absolute on trees in a(772) time when topo|ogy not allowed and °("2J.) time when topology allowed. In this paper, we present an optimal algorithm to find an inverse 1-center location on the weighted trees with (" + 1 ) vertices and " edges, where the edge weights can be changed within certain bounds. The time complexity of our proposed algorithmis°("),if T is traversed in a depth-first-search marmer en_US
dc.language.iso en en_US
dc.publisher CiiT htemational Joumal ofNetworking and communication Engineering en_US
dc.subject Tree-Networks en_US
dc.subject Center Location en_US
dc.subject 1 -Center Locatio en_US
dc.subject Inverse 1 -Center Location en_US
dc.subject Inverse Optimizatio en_US
dc.subject Tree en_US
dc.title Computation of Inverse 1 -Center Location Problem on the Weighted Trees en_US
dc.type Article en_US


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