||George S. Lueker
||Bren Hall 4206
To construct my electronic mail address, concatenate my last name
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,
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.
(January 19, 2008), pp. 169-182.
``Bin Packing Can Be Solved within 1+ε in Linear Time,'' with
W. Fernandez de la Vega, Combinatorica 1,4, pp. 349-355, 1981.
``Probabilistic Analysis of Optimum Partitioning,'' with N. Karmarkar,
R. M. Karp, and A. M. Odlyzko, Journal of Applied Probability
23,3 (1986), pp. 626-645.
- Probabilistic Analysis of Packing and Partitioning
Algorithms, with Ed Coffman, Jr., Wiley Interscience Series in
Discrete Mathematics and Optimization, John Wiley & Sons, 1991,
- ``More Analysis of Double Hashing,'' with M. Molodowitch,
Combinatorica 13,1 (1993), pp. 83-96.
- ``Exponentially Small Bounds on
the Expected Optimum of the Partition and Subset Sum Problems,''
Random Structures and Algorithms 12 (1998), pp. 51-62.
``Average-Case Analysis of Off-Line and On-Line Knapsack Problems,''
Journal of Algorithms 29 (1998), pp. 277-305.
``Packing Random Rectangles,''
with E. G. Coffman, Jr., Joel Spencer, and Peter M. Winkler,
Probability Theory and Related Fields 120
(2001), pp. 585-599.
version appeared as
DIMACS TR 99-44.
``The Minimum Expectation Selection Problem,''
with David Eppstein.
Presented at Random Structures and Algorithms 2001
held in Poznan, Poland.
ACM Computing Research Repository, cs.DS/0110011.
Random Structures & Algorithms,
21 (2002), pp. 278-292.
``C-Planarity of Extrovert Clustered Graphs,''
with Michael T. Goodrich and Jonathan Z. Sun,
Lecture Notes in Computer Science,
Vol. 3843, 2006, pp. 211-222.
(Graph Drawing, 13th International Symposium,
Patrick Healy and Nikola S. Nikolov, eds.,
Limerick, Ireland, September 12-14, 2005.)
``Approximation Algorithms for Extensible Bin Packing,''
with E. G. Coffman,
Journal of Scheduling 9,1 (2006).
An earlier version appeared in
Proc. Twelfth Annual ACM/SIAM Symposium on Discrete Algorithms,
2001, pp. 586-588.
``On the Convergence of Upper Bound Techniques
for the Average Length of Longest Common Subsequences,"
Proceedings of the Tenth Workshop on Algorithm Engineering and Experiments
and the Fifth
Workshop on Analytic Algorithmics and Combinatorics
``On the Approximability of Geometric and Geographic Generalization
and the Min-Max Bin Covering Problem,"
with Wenliang Du, David Eppstein, and Michael T. Goodrich,
Algorithms and Data Structures Symposium (WADS 2009).
``Improved Bounds on the Average Length of Longest Common Subsequences,"
Journal of the ACM 56,3 (May 2009), Article 17, 38 pages.
This is based on the paper of the same title in the
Fourteenth Annual ACM/SIAM Symposium on Discrete Algorithms,
2003, pp. 130-131, and the
ANALCO paper "On the Convergence of Upper Bound Techniques
for the Average Length of Longest Common Subsequences" listed above.
Department of Computer Science
School of Information and Computer Science
University of California, Irvine
Irvine, CA 92697-3435