
Prof. Avraham Melkman
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On the complexity of finding a largest common subtree of bounded degree
The largest common subtree problem is to find a bijective mapping between subsets of nodes of two input rooted trees of maximum cardinality or weight that preserves labels and ancestry relationship. The problem is known to be NP-hard for unordered trees. In this paper, we consider a restricted unordered case in which the maximum outdegree of a common subtree is bounded by a constant D. We present an O(nD) time algorithm where n is the maximum size of two input trees, which improves a previous O(n2D) time algorithm. We also present an O((H2{dot operator}22H-1{dot operator}D2H)D-1poly(n)) time algorithm, where H is the maximum height of two input trees.
| Publication language | English |
| Pages | 2-16 |
| Volume | 590 |
| Publication status | Published - 26.07.2015 |
Keywords
Dynamic programming
Parameterized complexity
Tree edit distance
Unordered trees
ASJC Scopus subject areas
Theoretical Computer Science
General Computer Science