Colloquium: Jianer Chen Texas A&M Improved Algorithms for Path Matching and Packing Problems TAY 3.128
Speaker Name: Jian
er Chen
Speaker Affiliation: Professor in Computer Science Texas A
&M University
Date: Friday February 16 2007
Start Time: 11:
00 a.m.
Coffee 10:45 am.
Location: TAY 3.128
Host: Vijaya
Ramachandran
Talk Title:Improved Algorithms for Path Matching & Pac
king Problems
Talk Abstract:
Improved randomized and deterministi
c algorithms are presented
for well-known NP-hard Path Matching and P
acking problems. Our
randomized algorithms are based on the divide-and-
conquer technique
and improve previous best algorithms for these probl
ems. For example
for the k-Path problem our randomized algorithm runs
in time $O(4%5Ek k%5E%7B2.7%7Dm)$ and space $O(nk%5Clog k + m)$ improving
the previous best randomized algorithm for the problem that runs in time $
O(5.44%5Ekkm)$
and space $O(2%5Ek k n + m)$. To achieve improved determ
inistic algorithms we study a number of previously proposed derandomizatio
n schemes and show how they can be improved and effectively used to achiev
e efficient deterministic algorithms. This study results in the following d
eterministic algorithms: one of time $O(4%5E%7Bk+o(k)%7Dm)$ for
the k-P
ath problem one of time $O(2.80%5E%7B3k%7Dk n %5Clog%5E2 n)$ for the 3-D m
atching problem and one of time $O(3.2%5E%7B3k%7Dn)$ for the 3-Set Packing
problem. All these significantly improve previous best deterministic algor
ithms for the problems.
* This is a joint work with S. Lu S.-H. Sze
and F. Zhang
Speaker Bio:
Jianer Chen got his Ph.D. in Compute
r Science from Courant Institute of Mathematical Sciences NYU and his Ph.
D. in Mathematics
from Columbia University. Currently he is a professor
in computer
science at Texas A&M University. His research interests incl
ude
algorithms and optimization computer graphics and computer.
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