Stanley M. Selkow
Worcester Polytechnic Institute
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Featured researches published by Stanley M. Selkow.
Information Processing Letters | 1977
Stanley M. Selkow
Many processes, including evolution, derivation of a sentence in a grammar, hierarchical clustering and game playing, may be represented as a labeled ordered tree. it is often desirable to compare two trees of the minimum number of operations required to convert one to the other. We present here an algorithm to compute such a minimum sequence of operations. A special case of this problem involves the comparison of two trees of depth two (each tree has a root and an ordered sequence of leaves which are the children of the root) in order to derive a minimum cost sequence of edit operations to transform one sequence of leaves to the other. Sankoff [2] and Wagner and Fisher [3] presented an algorithm to compute a minimum cost sequence of edit operations in O(mn) operations, where the trees have m and n leaves. Wong and Chandra [4] and Aho, Hirschberg and Ullman [I] have proved that foi a wide class of computation models, the Sankoff algorithm is optimal. We will show that a straightforward generalization of the Sankoff algorithm will provide a solution to the tree-to-tree editing problem. Since the time required by our algorithm is of the same order of magnitude as the time required by the Sankoff algorithm, it follows that our algorithm must be optimal over a wide class of computation models.
SIAM Journal on Computing | 1980
László Babai; Paul Erdo˝s; Stanley M. Selkow
A straightforward linear time canonical labeling algorithm is shown to apply to almost all graphs (i.e. all but
Journal of Combinatorial Theory | 1979
Claude A. Christen; Stanley M. Selkow
o(2^{( \begin{subarray}{l} n \\ 2 \end{subarray} )} )
Journal of Graph Theory | 1999
Hal A. Kierstead; Gábor N. Sárközy; Stanley M. Selkow
) of the
Journal of the ACM | 1972
Stanley M. Selkow
2^{( \begin{subarray}{l} n \\ 2 \end{subarray} )}
Mathematical Methods of Operations Research | 1974
Ludwig Nastansky; Stanley M. Selkow; Neil F. Stewart
graphs on n vertices). Hence, for almost all graphs X, any graph Y can be easily tested for isomorphism to X by an extremely naive linear time algorithm. This result is based on the following: In almost all graphs on n vertices, the largest
Discrete Mathematics | 1994
Stanley M. Selkow
n^{0.15}
Discrete Mathematics | 2003
Gábor N. Sárközy; Stanley M. Selkow; Endre Szemerédi
degrees are distinct. In fact, they are pairwise at least
Journal of Combinatorial Theory | 2000
Gábor N. Sárközy; Stanley M. Selkow
n^{0.03}
Information Processing Letters | 1986
Owen Murphy; Stanley M. Selkow
apart.