
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. This 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 prove that this restricted problem is W[1]-hard for parameter D.
| Publication language | English |
| Pages | 4-15 |
| Publication status | Published - 03.09.2013 |
Keywords
dynamic programming
parameterized complexity
tree edit distance
unordered trees
ASJC Scopus subject areas
Theoretical Computer Science
General Computer Science