Dan Hirschberg

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Daniel S. Hirschberg is a full professor in Computer Science at University of California, Irvine. His research interests are in the theory of design and analysis of algorithms.

He obtained his PhD in Computer Science from Princeton University in 1975. He supervised the PhD dissertations of Lawrence L. Larmore, James H. Hester, Cheng F. Ng, Debra A. (Lelewer) Brum, Lynn M. Stauffer, Steven S. Seiden, and Jonathan Kent Martin.

He is best known for his 1975 and 1977 work on the longest common subsequence problem: Hirschberg's algorithm for this problem and for the related string edit distance problem solves it efficiently in only linear space. He is also known for his work in several other areas, including Distributed Algorithms. In Nancy Lynch's book Distributed Algorithms she gives details of an algorithm by Hirschberg and J. B. Sinclair for leader election in a synchronous ring. Lynch named this algorithm the HS algorithm, after its authors.

[edit] External links

• Dan Hirschberg's Webpage at UCI

[edit] References

• Hirschberg, D. S. (1975). "A linear space algorithm for computing maximal common subsequences". Communications of the ACM 18 (6): 341–343. doi:10.1145/360825.360861. 
• Hirschberg, D. S. (1977). "Algorithms for the Longest Common Subsequence Problem". Journal of the ACM 24 (4): 664–675. doi:10.1145/322033.322044. 
• Nancy A. Lynch, Distributed Algorithms, Morgan Kaufmann Publishers, Inc. (1996) pp. 31-35.