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George Lueker’s interests are in the area of the design and analysis of algorithms for concrete problems. Lueker is especially interested in applications of probability to problems in computer science, in particular the analysis of the behavior of algorithms and optimization problems when some assumption is made about the probability distribution of inputs. For example, he has investigated the behavior of the optimum solution to the bin-packing problem and the partition problem. With graduate student Mariko Molodowitch he developed a remarkably simple proof of the result that the probabilistic behavior of double hashing is asymptotically equivalent to that of the theoretically ideal uniform hashing, for fixed load factors arbitrarily close to one. He has also investigated improved bounds on the expected length of the longest common subsequence when the input strings are random.


Ph.D., Princeton University, 1975

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