In this paper, we consider an interesting variant of the well-known Steiner tree problem: Given a complete graph G = (V, E) with a cost function c : E → R+ and two subsets R and R′ satisfying R′ ⊂ R ⊆ V, a selected-internal Steiner tree is a Steiner tree which contains (or spans) all the vertices in R such that each vertex in R′ cannot be a leaf. The selected-internal Steiner tree problem is to find a selected-internal Steiner tree with the minimum cost. In this paper, we show that the problem is MAX SNP-hard even when the costs of all edges in the input graph are restricted to either 1 or 2. We also present an approximation algorithm for the problem. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Hsieh, S. Y., & Yang, S. C. (2006). MAX-SNP hardness and approximation of selected-internal steiner trees. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4112 LNCS, pp. 449–458). Springer Verlag. https://doi.org/10.1007/11809678_47
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