This paper presents the first sub-quadratic time algorithm for the Unrooted Maximum Agreement Subtree (UMAST) problem: Given a set A of n items (e.g., species) and two unrooted trees T and T′, each with n leaves uniquely labeled by the items of A, we want to compute the largest subset B of A such that the subtrees of T and T′ induced by B are isomorphic. The UMAST problem is closely related to some problems in biology, in particular, the one of finding the consensus between evolutionary trees (or phylogenies) of a set of species. The previous best algorithm for the UMAST problem requires time O(n2+º(1)) [5]; the algorithm in this paper improves the time bound to O(n1.75+º(1)). The rooted version of this problem has also attracted a lot of attention; the time complexity has recently been improved from O(n2) [5] to O(n1.5 log n) [6].
CITATION STYLE
Lam, T. W., Sung, W. K., & Ting, H. F. (1996). Computing the unrooted maximum agreement subtree in sub-quadratic time. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1097, pp. 124–135). Springer Verlag. https://doi.org/10.1007/3-540-61422-2_126
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