Abstract
Let G = (V, E, w) be an undirected graph with nonnegative edge weight. For any spanning tree T of G, the weight of T is the total weight of its tree edges and the routing cost of T is ∑u, v∈VdT(u, v), where dT(u, v) is the distance between u and v on T. In this paper, we present an algorithm providing a trade off among tree weight, routing cost and time complexity. For any real number α > 1 and an integer 1 < k < 6α - 3, in O(nk+1+n3) time, the algorithm finds a spanning tree whose routing cost is at most (1 + 2/(k + 1)) α times the one of the minimum routing cost tree, and the tree weight is at most (f(k) + 2/(α - 1)) times the one of the minimum spanning tree, where f(k) = 1 if k = 1 and f(k) = 2 if k > 1.