An optimal decomposition algorithm for tree edit distance

  • Authors:
  • Erik D. Demaine;Shay Mozes;Benjamin Rossman;Oren Weimann

  • Affiliations:
  • MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA

  • Venue:
  • ICALP'07 Proceedings of the 34th international conference on Automata, Languages and Programming
  • Year:
  • 2007

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Abstract

The edit distance between two ordered rooted trees with vertex labels is the minimum cost of transforming one tree into the other by a sequence of elementary operations consisting of deleting and relabeling existing nodes, as well as inserting new nodes. In this paper, we present a worst-case O(n3)-time algorithm for this problem, improving the previous best O(n3 log n)-time algorithm [7]. Our result requires a novel adaptive strategy for deciding how a dynamic program divides into subproblems, together with a deeper understanding of the previous algorithms for the problem. We prove the optimality of our algorithm among the family of decomposition strategy algorithms--which also includes the previous fastest algorithms--by tightening the known lower bound of Ω(n2 log2 n) [4] to O(n3), matching our algorithm's running time. Furthermore, we obtain matching upper and lower bounds of Θ(nm2(1+log n/m)) when the two trees have sizes m and n where m n.