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» Randomization Techniques for Graphs.
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99
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WSC
2008
15 years 3 months ago
A particle filtering framework for randomized optimization algorithms
We propose a framework for optimization problems based on particle filtering (also called Sequential Monte Carlo method). This framework unifies and provides new insight into rand...
Enlu Zhou, Michael C. Fu, Steven I. Marcus
88
Voted
ICPR
2008
IEEE
15 years 7 months ago
Graph drawing using quantum commute time
In this paper, we explore experimentally the use of the commute time of the continuous-time quantum walk for graph drawing. For the classical random walk, the commute time has bee...
David Emms, Edwin R. Hancock, Richard C. Wilson
ICALP
1992
Springer
15 years 4 months ago
On Nearest-Neighbor Graphs
The "nearest neighbor" relation, or more generally the "k nearest neighbors" relation, defined for a set of points in a metric space, has found many uses in co...
Mike Paterson, F. Frances Yao
ENDM
2008
118views more  ENDM 2008»
15 years 27 days ago
Number of Crossing-Free Geometric Graphs vs. Triangulations
We show that there is a constant > 0 such that, for any set P of n 5 points in general position in the plane, a crossing-free geometric graph on P that is chosen uniformly at...
Andreas Razen, Jack Snoeyink, Emo Welzl
SPAA
2009
ACM
15 years 7 months ago
Locally scalable randomized consensus for synchronous crash failures
We consider bit communication complexity of binary consensus in synchronous message passing systems with processes prone to crashes. A distributed algorithm is locally scalable wh...
Bogdan S. Chlebus, Dariusz R. Kowalski