On the approximability of some maximum spanning tree problems

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Abstract

We study the approximability of some problems which aim at finding spanning trees in undirected graphs which maximize, instead of minimizing, a single objective function representing a form of benefit or usefulness of the tree. We prove that the problem of finding a spanning tree which maximizes the number of paths which connect pairs of vertices and pass through a common arc can be polynomially approximated within a factor of 1.5. It is known that this problem can be solved exactly in polynomial time if the graph is 2-connected [14]; we extend this result to graphs having at most two articulation points. We leave open whether in the general case the problem admits a polynomial time approximation scheme or is MAX-SNP hard and therefore not polynomially approximable whithin any constant 1+∈, ∈>0, unless P=NP. On the other hand we show that the problems of finding a spanning tree which has maximum diameter, or maximum height with respect to a specified root, or maximum sum of the distances between all pairs of vertices, or maximum sum of the distances from a specified root to all remaining vertices, are not polynomially approximable within any constant factor, unless P=NP. The same result holds for the problem of finding a lineal spanning tree with maximum height, and this solves a problem which was left open in [6].

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Galbiati, G., Morzenti, A., & Maffioli, F. (1995). On the approximability of some maximum spanning tree problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 911, pp. 300–310). Springer Verlag. https://doi.org/10.1007/3-540-59175-3_97

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