Department of Computer Science | Institute of Theoretical Computer Science | CADMO

Theory of Combinatorial Algorithms

Prof. Emo Welzl and Prof. Bernd Gärtner

Mittagsseminar (in cooperation with M. Ghaffari, A. Steger and B. Sudakov)

Mittagsseminar Talk Information

Date and Time: Thursday, November 22, 2012, 12:15 pm

Duration: 30 minutes

Location: CAB G51

Speaker: Gerth Stølting Brodal (Aarhus University)

Efficient Algorithms for Computing the Triplet and Quartet Distance Between Trees of Arbitrary Degree

The triplet and quartet distances are distance measures to compare two rooted and two unrooted trees, respectively. The leaves of the two trees should have the same set of n labels. The distances are defined by enumerating all subsets of three labels (triplets) and four labels (quartets), respectively, and counting how often the induced topologies in the two input trees are different. In this paper we present efficient algorithms for computing these distances. We show how to compute the triplet distance in time O(n log n) and the quartet distance in time O(d n log n), where d is the maximal degree of any node in the two trees. Within the same time bounds, our framework also allows us to compute the parameterized triplet and quartet distances, where a parameter is introduced to weight resolved (binary) topologies against unresolved (non-binary) topologies. The previous best algorithm for computing the triplet and parameterized triplet distances have O(n2) running time, while the previous best algorithms for computing the quartet distance include an O(d9 n log n) time algorithm and an O(n2.688) time algorithm, where the latter can also compute the parameterized quartet distance. Since d ≤ n, our algorithms improve on all these algorithms.


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